1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:24,880 Speaker 1: learn the stuff they don't want you to know. M Hello, 4 00:00:25,079 --> 00:00:27,880 Speaker 1: welcome to the show. My name is Noel and there's 5 00:00:27,880 --> 00:00:30,920 Speaker 1: a match shaped void there. Yes, it is all true. 6 00:00:31,000 --> 00:00:34,920 Speaker 1: Our friend Matt, longtime compatriot, is pursuing adventures that you 7 00:00:34,920 --> 00:00:38,440 Speaker 1: will hear about very soon if all goes according to plan, 8 00:00:38,560 --> 00:00:40,800 Speaker 1: which I will if we know Matt right, he's a 9 00:00:40,840 --> 00:00:43,760 Speaker 1: solid guy. Whomi they called me Ben. We're here with 10 00:00:43,800 --> 00:00:47,120 Speaker 1: our super producer Paul Deckett. Most importantly, you are you, 11 00:00:47,240 --> 00:00:50,400 Speaker 1: and you are here, and that makes this stuff they 12 00:00:50,440 --> 00:00:55,080 Speaker 1: don't want you to know, an audio podcast that today 13 00:00:55,400 --> 00:00:57,920 Speaker 1: is going to be about YouTube. Yeah, that's kind of meta, 14 00:00:58,080 --> 00:01:00,680 Speaker 1: right is that? Okay? Is this too much? Now we're 15 00:01:00,680 --> 00:01:02,960 Speaker 1: gonna open up time space. It's gonna swallow us all 16 00:01:02,960 --> 00:01:08,040 Speaker 1: into our own Ben and Knoll shaped a digital do portal. Perhaps. Well, 17 00:01:08,600 --> 00:01:11,680 Speaker 1: it's interesting because a long time listeners, as you know, 18 00:01:12,080 --> 00:01:16,320 Speaker 1: we started this show uh years and years ago as 19 00:01:16,400 --> 00:01:21,520 Speaker 1: a YouTube show and slowly evolved into an audio podcast. 20 00:01:21,959 --> 00:01:24,160 Speaker 1: So we have a little bit of a behind the 21 00:01:24,280 --> 00:01:28,560 Speaker 1: scenes peek at the nuts and bolts, the strange arcane 22 00:01:28,600 --> 00:01:33,679 Speaker 1: mechanics that drive YouTube and this is nuts. We learned 23 00:01:33,720 --> 00:01:36,320 Speaker 1: some strange stuff as we were preparing for this episode. 24 00:01:37,319 --> 00:01:42,120 Speaker 1: What is America's largest social media platform? Most of us 25 00:01:42,160 --> 00:01:45,720 Speaker 1: would say, you know, Facebook, maybe Instagram or something. It's 26 00:01:45,760 --> 00:01:48,920 Speaker 1: not true. According to the Pew Research Center, seventy three 27 00:01:49,040 --> 00:01:53,600 Speaker 1: percent of US adults use YouTube, either via desktop or mobile. 28 00:01:53,800 --> 00:01:57,200 Speaker 1: And that's that compares to about sixty eight percent of 29 00:01:57,320 --> 00:02:02,040 Speaker 1: US adults who use Facebook. The numbers drop off precipitously 30 00:02:02,160 --> 00:02:06,720 Speaker 1: after that. The distant third is Instagram. Thirty five percent 31 00:02:06,800 --> 00:02:11,600 Speaker 1: of US adults use it. Adults aged eighteen to twenty 32 00:02:11,680 --> 00:02:16,720 Speaker 1: nine use YouTube, which is that's a massive number of anything. 33 00:02:16,840 --> 00:02:19,760 Speaker 1: Is pretty pretty impressive, right, Well, what's even crazier though, 34 00:02:19,840 --> 00:02:22,120 Speaker 1: is that, like that's eighteen to twenty nine and a 35 00:02:22,160 --> 00:02:25,799 Speaker 1: big segment of people on YouTube these days are kids. Yes, 36 00:02:26,120 --> 00:02:28,639 Speaker 1: didn't even yeah, burying the UIs. They're like, my kid 37 00:02:28,720 --> 00:02:31,840 Speaker 1: is obsessed. They call them YouTubers and all this stuff 38 00:02:31,840 --> 00:02:35,280 Speaker 1: and making me constantly feel like like an old man. Um. 39 00:02:35,320 --> 00:02:38,000 Speaker 1: But it's pretty wild how much stuff there is out 40 00:02:38,000 --> 00:02:41,240 Speaker 1: there that's specifically geared towards kids. And so I mean 41 00:02:41,280 --> 00:02:43,519 Speaker 1: it's almost when you take that into account, it's like 42 00:02:45,200 --> 00:02:49,600 Speaker 1: right right of adults eighteen nine and children. Yes, yeah, 43 00:02:49,639 --> 00:02:52,800 Speaker 1: that's a good point, because even the number is so big, 44 00:02:52,840 --> 00:02:55,440 Speaker 1: the proliferation is so great that even if you are 45 00:02:55,480 --> 00:02:59,720 Speaker 1: an anti YouTube person you're like, it's bananas, that's that's 46 00:02:59,760 --> 00:03:03,760 Speaker 1: not my thing, you will know someone who is very 47 00:03:03,800 --> 00:03:06,760 Speaker 1: into it, or at least casually watches it. And the 48 00:03:06,800 --> 00:03:10,480 Speaker 1: thing about YouTube is you cannot get that big without 49 00:03:10,560 --> 00:03:13,080 Speaker 1: making some waves. You know. It's sort of like the 50 00:03:13,120 --> 00:03:16,600 Speaker 1: old argument about behind at the root of every fortune 51 00:03:16,720 --> 00:03:19,399 Speaker 1: is some horrific crime, you know what I mean. It's 52 00:03:19,440 --> 00:03:22,840 Speaker 1: similar to that, and YouTube is no stranger to controversy. 53 00:03:22,960 --> 00:03:27,200 Speaker 1: So to find out how we got here and what 54 00:03:27,320 --> 00:03:30,840 Speaker 1: kind of crazy cover ups or conspiracies about YouTube exists 55 00:03:30,840 --> 00:03:33,640 Speaker 1: in the present day, we have to look at how 56 00:03:33,720 --> 00:03:38,000 Speaker 1: YouTube started here the facts. It's not that old. The 57 00:03:38,080 --> 00:03:43,080 Speaker 1: domain name YouTube dot com wasn't activate until February. I 58 00:03:43,120 --> 00:03:45,560 Speaker 1: have a very distinct memory of visiting l A for 59 00:03:45,600 --> 00:03:48,720 Speaker 1: the first time right right around that time and seeing 60 00:03:48,720 --> 00:03:51,280 Speaker 1: somebody work in the box office at the Upright Sits 61 00:03:51,320 --> 00:03:53,920 Speaker 1: in the Brigade Theater on a site called YouTube that 62 00:03:54,000 --> 00:03:58,800 Speaker 1: I was like, what the heck is that is this YouTube? Yeah, 63 00:03:58,960 --> 00:04:03,840 Speaker 1: and the first video wasn't even uploaded until April of 64 00:04:03,880 --> 00:04:06,800 Speaker 1: that year. A the video is something really but now 65 00:04:06,840 --> 00:04:09,160 Speaker 1: it was like dude playing with his dog or something. 66 00:04:09,200 --> 00:04:13,680 Speaker 1: He's it's one of the co founders zoo Tube. Yeah, 67 00:04:13,760 --> 00:04:16,160 Speaker 1: it's called me at the Zoo and the guys at 68 00:04:16,160 --> 00:04:19,640 Speaker 1: the San Diego Zoo. But just a year later, a 69 00:04:19,640 --> 00:04:21,840 Speaker 1: little more than a year later, on October nine, two 70 00:04:21,880 --> 00:04:26,000 Speaker 1: thousand six, YouTube was purchased by Google for one point 71 00:04:26,120 --> 00:04:29,640 Speaker 1: six five billion dollars. You know what I mean, that's 72 00:04:29,800 --> 00:04:32,520 Speaker 1: that's insane. A lot of us in the audience today 73 00:04:33,360 --> 00:04:35,440 Speaker 1: became familiar with stuff they don't want you to know 74 00:04:35,640 --> 00:04:40,200 Speaker 1: due to those original YouTube videos. And we have to 75 00:04:40,200 --> 00:04:42,680 Speaker 1: be very conscious of the fact that YouTube did a 76 00:04:42,680 --> 00:04:45,599 Speaker 1: lot for the show. It did a lot for many 77 00:04:45,680 --> 00:04:49,279 Speaker 1: How Stuff Work shows, And we could spend an entire 78 00:04:49,320 --> 00:04:53,679 Speaker 1: episode on YouTube's history, but we should probably skip ahead, 79 00:04:53,720 --> 00:04:58,120 Speaker 1: and for now, let's just note there's no argument that 80 00:04:58,200 --> 00:05:02,600 Speaker 1: YouTube is a powerful thing. Let's look at the numbers. Well, 81 00:05:02,720 --> 00:05:06,320 Speaker 1: we've got some statistics for you about YouTube today. Six 82 00:05:06,440 --> 00:05:10,520 Speaker 1: out of ten people prefer online video platforms to live TV. 83 00:05:10,760 --> 00:05:15,440 Speaker 1: So take that Comcast let let them take something they've 84 00:05:15,480 --> 00:05:18,480 Speaker 1: been holding sway over the world of entertainment for too long, 85 00:05:19,200 --> 00:05:22,640 Speaker 1: at least here in our neck of uh. In an 86 00:05:22,680 --> 00:05:25,800 Speaker 1: average month, eight out of ten eighteen to forty nine 87 00:05:25,880 --> 00:05:29,120 Speaker 1: year olds watch YouTube. That's just a rephrasing of the 88 00:05:29,200 --> 00:05:33,880 Speaker 1: other the similar statistic from earlier in two thousand fifteen, 89 00:05:34,200 --> 00:05:36,960 Speaker 1: eighteen to forty nine year old spent four percent less 90 00:05:36,960 --> 00:05:40,240 Speaker 1: time watching TV and time spent on YouTube went up 91 00:05:40,320 --> 00:05:46,040 Speaker 1: seventy four percent, which means not only is YouTube taking 92 00:05:46,080 --> 00:05:51,520 Speaker 1: away existing viewing time from traditional television, it's also adding 93 00:05:51,760 --> 00:05:55,440 Speaker 1: viewing time. Well, it's just like because it's like crowdsourced content. 94 00:05:55,520 --> 00:05:57,720 Speaker 1: You know, anything you can think of, somebody is probably 95 00:05:57,960 --> 00:06:01,160 Speaker 1: found it and uploaded it. Even if it gets wiped 96 00:06:01,200 --> 00:06:04,839 Speaker 1: by the web shaff or whatever relatively quickly, it'll just 97 00:06:04,839 --> 00:06:07,040 Speaker 1: pop up again somewhere else. So it's like, I mean, 98 00:06:07,279 --> 00:06:11,080 Speaker 1: I've always found it pretty amazing. What like obscure music 99 00:06:11,200 --> 00:06:13,760 Speaker 1: videos or concert videos you can find, you know, I mean, 100 00:06:13,800 --> 00:06:15,520 Speaker 1: it makes sense. It's just kind of like a rabbit 101 00:06:15,560 --> 00:06:20,200 Speaker 1: hole you can go down and at least on the surface. 102 00:06:20,279 --> 00:06:23,719 Speaker 1: The appeal of YouTube is that you are in charge 103 00:06:23,800 --> 00:06:27,080 Speaker 1: of the tube. You don't have to wait until eight 104 00:06:27,120 --> 00:06:30,840 Speaker 1: pm every Wednesday to watch your favorite show. You can 105 00:06:30,880 --> 00:06:33,480 Speaker 1: just pull up episodes and watch them whenever you want, 106 00:06:34,000 --> 00:06:37,000 Speaker 1: or at least segments of episodes. You can see some weird, 107 00:06:37,040 --> 00:06:40,280 Speaker 1: interesting stuff that you would not normally see on cable television. 108 00:06:40,960 --> 00:06:45,080 Speaker 1: And also you can navigate YouTube in around seventies six 109 00:06:45,160 --> 00:06:49,599 Speaker 1: different languages. The platforms launched in over eighty eight countries. 110 00:06:50,320 --> 00:06:54,440 Speaker 1: There are actual YouTube millionaires. The highest earning one is 111 00:06:54,480 --> 00:06:59,359 Speaker 1: a guy named Dan Middleton in He made about sixteen 112 00:06:59,440 --> 00:07:02,960 Speaker 1: and a half million dollars from YouTube alogne and that's 113 00:07:03,080 --> 00:07:07,280 Speaker 1: I believe. That's uh after YouTube or Google or their 114 00:07:07,279 --> 00:07:11,400 Speaker 1: parent company Alphabet took their their own toll because they 115 00:07:11,440 --> 00:07:14,320 Speaker 1: have a pretty hefty have a pretty hefty rate that 116 00:07:14,360 --> 00:07:18,640 Speaker 1: they impose on every creator. And on average there are 117 00:07:19,000 --> 00:07:23,440 Speaker 1: a billion mobile video views per day, one billion. This 118 00:07:23,600 --> 00:07:26,200 Speaker 1: is insane. And no, let me ask you a question. 119 00:07:26,480 --> 00:07:29,400 Speaker 1: Have you ever just had auto play on when you 120 00:07:29,400 --> 00:07:31,640 Speaker 1: have YouTube on in the background or something? Yeah? I 121 00:07:31,880 --> 00:07:34,280 Speaker 1: actually I don't watch YouTube like that as much as 122 00:07:34,360 --> 00:07:36,560 Speaker 1: as some, but my my roommate Frank does a lot, 123 00:07:36,840 --> 00:07:39,520 Speaker 1: and it really does a good job of tracking his 124 00:07:39,600 --> 00:07:43,000 Speaker 1: behavior and feeding him and stuff. That's read up his alley. So, 125 00:07:43,160 --> 00:07:48,200 Speaker 1: I mean, obviously algorithm is been finally tuned over some time, right, Yeah, 126 00:07:48,200 --> 00:07:51,720 Speaker 1: that's what we're getting too. Yes, we are going to 127 00:07:51,880 --> 00:07:59,160 Speaker 1: explore the strange consequences of trusting your taste and preferences 128 00:07:59,480 --> 00:08:06,160 Speaker 1: to an incredibly complicated, smart piece of software and algorithm that, 129 00:08:07,400 --> 00:08:11,680 Speaker 1: largely without human intervention, attempts to figure out what you like, 130 00:08:12,280 --> 00:08:15,240 Speaker 1: why you like it, and how to give you more 131 00:08:15,280 --> 00:08:25,320 Speaker 1: of that. We'll be back after a word from our sponsor. Alright, 132 00:08:25,360 --> 00:08:29,280 Speaker 1: so nol hit me with it the story of the algorithm. 133 00:08:29,320 --> 00:08:33,120 Speaker 1: It's not there's not some cadre of people just hiding 134 00:08:33,240 --> 00:08:36,640 Speaker 1: in the next room purposely sending you videos when you 135 00:08:36,640 --> 00:08:39,679 Speaker 1: watch stuff. No, there are cadres of coders that can 136 00:08:39,800 --> 00:08:45,079 Speaker 1: fine tune this thing over time to a very sharp edge. Um. 137 00:08:45,160 --> 00:08:48,840 Speaker 1: So YouTube obsessively tracks everything that you watch, where you 138 00:08:48,840 --> 00:08:51,520 Speaker 1: watch it, exactly how far into the video you make it, 139 00:08:51,559 --> 00:08:54,040 Speaker 1: when you drop off, when you come back, and so 140 00:08:54,120 --> 00:08:56,360 Speaker 1: on and so on and so on. Um. And it's 141 00:08:56,400 --> 00:08:59,160 Speaker 1: this continuing effort to figure out exactly what you like. 142 00:08:59,320 --> 00:09:02,040 Speaker 1: And honestly, that's sort of the name of the game 143 00:09:02,200 --> 00:09:05,079 Speaker 1: these days with any of these streaming services. It's like um, 144 00:09:05,120 --> 00:09:10,280 Speaker 1: I think Netflix, Um actually crowdsourced a are offered a 145 00:09:10,360 --> 00:09:13,520 Speaker 1: prize to any outside coders that could figure out how 146 00:09:13,520 --> 00:09:17,160 Speaker 1: to help them get their algorithm for movie recommendations ten 147 00:09:17,600 --> 00:09:21,079 Speaker 1: more accurate, and they paid out to some outside coders 148 00:09:21,080 --> 00:09:22,559 Speaker 1: who did figure out how to do that thing. So 149 00:09:22,800 --> 00:09:26,600 Speaker 1: it's the more accurate your recommendations are, the more likely 150 00:09:26,679 --> 00:09:29,560 Speaker 1: people are to stay on the platform and not you know, 151 00:09:29,760 --> 00:09:34,160 Speaker 1: go outside, right. Yeah, absolutely, you can sandbox the much 152 00:09:34,200 --> 00:09:39,200 Speaker 1: more effectively, and ultimately, you know, the goal is to 153 00:09:39,240 --> 00:09:42,199 Speaker 1: get you to buy something. It's important to note that 154 00:09:43,040 --> 00:09:49,480 Speaker 1: almost every digital enterprise does something like this these days, Hulu, Netflix, 155 00:09:49,520 --> 00:09:53,520 Speaker 1: as you said, Amazon, eBay, Facebook, when you watch a 156 00:09:53,559 --> 00:09:57,559 Speaker 1: Facebook video, of course they do that. That's that data 157 00:09:57,720 --> 00:10:00,840 Speaker 1: is gold. And as we know, Reese years have proven 158 00:10:01,080 --> 00:10:03,720 Speaker 1: if you are not paying for a service, that means 159 00:10:03,960 --> 00:10:08,000 Speaker 1: you are the products right, absolutely, and even in this 160 00:10:08,360 --> 00:10:14,760 Speaker 1: strange sphere, YouTube occupies a unique area in the horizon 161 00:10:14,840 --> 00:10:17,440 Speaker 1: of digital entertainment. They're right on the edge and they're 162 00:10:17,520 --> 00:10:20,960 Speaker 1: super huge, so whenever they move there are going to 163 00:10:21,040 --> 00:10:25,720 Speaker 1: be waves and unforeseen ripple effects throughout the industry. There 164 00:10:25,720 --> 00:10:30,199 Speaker 1: are one point five billion YouTube users in the world today, 165 00:10:30,520 --> 00:10:34,120 Speaker 1: and that's more than the number of households that own televisions. 166 00:10:34,320 --> 00:10:37,560 Speaker 1: What they watch is shaped by this algorithm that you 167 00:10:37,679 --> 00:10:41,800 Speaker 1: just described NOL. It's automated largely. It's skims and ranks 168 00:10:42,120 --> 00:10:46,200 Speaker 1: billions of videos to identify twenty clips that will show 169 00:10:46,320 --> 00:10:49,520 Speaker 1: up in the right rail of the YouTube screen that 170 00:10:49,600 --> 00:10:52,400 Speaker 1: are called up next, and they're supposed to be relevant 171 00:10:52,440 --> 00:10:57,440 Speaker 1: to a previous video you just watched, and statistically, they're 172 00:10:57,480 --> 00:11:03,360 Speaker 1: supposed to be entire highly designed or entirely curated for 173 00:11:03,440 --> 00:11:08,439 Speaker 1: the sole purpose of keeping your eyes on the screen. 174 00:11:08,559 --> 00:11:10,679 Speaker 1: And they're very, very good at it. But there are 175 00:11:10,800 --> 00:11:14,960 Speaker 1: very very few public explanations about how this actually works. 176 00:11:15,000 --> 00:11:18,600 Speaker 1: It's a bit of a black box. YouTube engineers, in 177 00:11:18,840 --> 00:11:22,040 Speaker 1: some of their papers published on this describe it as 178 00:11:22,360 --> 00:11:26,679 Speaker 1: one of the largest scale and most sophisticated industrial recommendation 179 00:11:26,760 --> 00:11:31,320 Speaker 1: systems in existence. So in many ways, the story of 180 00:11:31,320 --> 00:11:35,960 Speaker 1: how YouTube figures out what you watch is a story 181 00:11:36,000 --> 00:11:41,720 Speaker 1: of incredible innovation and amazing breakthroughs in communication. However, according 182 00:11:41,760 --> 00:11:45,640 Speaker 1: to a growing body of critics, there's much much more 183 00:11:45,760 --> 00:11:50,520 Speaker 1: to the story, and you should be disturbed. Here's where 184 00:11:50,559 --> 00:11:54,400 Speaker 1: it gets crazy. You're gonna disturb me, Ben, I think 185 00:11:54,440 --> 00:11:57,079 Speaker 1: we'll all be disturbed here. You're gonna shake my worldview. 186 00:11:58,240 --> 00:12:01,440 Speaker 1: I don't know, but I might shake up your YouTube views. 187 00:12:01,600 --> 00:12:07,040 Speaker 1: Let's see. So first things first, this algorithm is proprietary, 188 00:12:07,200 --> 00:12:10,319 Speaker 1: and we know that it works hard stop. And it's 189 00:12:10,360 --> 00:12:15,280 Speaker 1: also constantly being tinkered with. The engineers and the coders 190 00:12:15,600 --> 00:12:19,520 Speaker 1: in that cadre we mentioned earlier are constantly going back 191 00:12:19,559 --> 00:12:22,720 Speaker 1: and saying, well, what if we just this value, or 192 00:12:22,720 --> 00:12:26,680 Speaker 1: what if we move what if we prioritize for instance, uh, 193 00:12:26,960 --> 00:12:30,600 Speaker 1: watch time or some other some other aspect of the 194 00:12:30,720 --> 00:12:34,160 Speaker 1: of the great formula. So the nuts and bolts of 195 00:12:34,200 --> 00:12:37,480 Speaker 1: this process are literally the stuff they don't want you 196 00:12:37,559 --> 00:12:40,400 Speaker 1: to know. YouTube does not want you to know the 197 00:12:40,480 --> 00:12:44,000 Speaker 1: intricacies of how this works. It's like a it's like 198 00:12:44,040 --> 00:12:47,600 Speaker 1: the Coca cola recipe. It's a secret formula. And that's 199 00:12:47,640 --> 00:12:50,720 Speaker 1: not necessarily a bad thing, not to be alarmist or anything. 200 00:12:50,760 --> 00:12:53,679 Speaker 1: It's it's not necessarily sinister. They just want to keep 201 00:12:53,720 --> 00:12:56,840 Speaker 1: their competitors from stealing their work or one upping them, 202 00:12:56,960 --> 00:13:00,840 Speaker 1: or they want to protect their jobs. But it does 203 00:13:00,960 --> 00:13:06,400 Speaker 1: lead us to ask, what keeps someone glued to the screen? 204 00:13:07,080 --> 00:13:10,840 Speaker 1: Is it? Is it something that makes them happy? Is 205 00:13:10,880 --> 00:13:15,080 Speaker 1: it just smiling children and someone softly playing acoustic guitar? 206 00:13:15,400 --> 00:13:20,600 Speaker 1: Sounds nice? It does right, Well, the algorithm has determined 207 00:13:20,600 --> 00:13:23,320 Speaker 1: the certain videos, or certain kinds of videos, will tend 208 00:13:23,360 --> 00:13:25,920 Speaker 1: to have a much higher likelihood of keeping people glued 209 00:13:25,960 --> 00:13:28,880 Speaker 1: to YouTube. But these are not nice videos for the 210 00:13:28,960 --> 00:13:33,600 Speaker 1: most part. In fact, they're they're divisive, they're downright someone 211 00:13:33,800 --> 00:13:38,640 Speaker 1: argue inappropriate, especially considering that it's pretty easy for a 212 00:13:38,720 --> 00:13:42,280 Speaker 1: kid to just watch whatever they want on YouTube. One 213 00:13:42,320 --> 00:13:43,800 Speaker 1: of the things we have to point out though, and 214 00:13:43,920 --> 00:13:49,120 Speaker 1: all it's so true YouTube loves videos about conspiracy theories. Yeah. 215 00:13:49,160 --> 00:13:51,880 Speaker 1: Have you ever been on YouTube and you're watching something 216 00:13:51,920 --> 00:13:53,480 Speaker 1: and then all of a sudden pops up with a 217 00:13:54,480 --> 00:13:58,680 Speaker 1: and Alex Jones or a flat earth thing? So nuts? 218 00:13:58,679 --> 00:14:00,559 Speaker 1: And it makes me wonder you We do a lot 219 00:14:00,559 --> 00:14:03,120 Speaker 1: of weird research here, but in some cases I felt 220 00:14:03,160 --> 00:14:06,480 Speaker 1: insulted when that stuff popped up. You know what's been 221 00:14:06,480 --> 00:14:10,440 Speaker 1: stalking me around YouTube recently. It's a how stuff works 222 00:14:10,520 --> 00:14:13,880 Speaker 1: video about corn. I don't know why did you have 223 00:14:13,880 --> 00:14:17,120 Speaker 1: anything to do with said video? Man? I don't think so. No, 224 00:14:17,480 --> 00:14:21,120 Speaker 1: it's just a video about corn. Interesting. I haven't watched it, 225 00:14:21,200 --> 00:14:27,320 Speaker 1: but maybe I'll cave. So this, this tendency of conspiracy 226 00:14:27,400 --> 00:14:30,760 Speaker 1: videos to get promoted on the trending or up next 227 00:14:31,160 --> 00:14:34,400 Speaker 1: AutoPlay kind of stuff has disturbed a lot of people 228 00:14:34,520 --> 00:14:38,680 Speaker 1: because these videos there seems to be a relationship between 229 00:14:38,720 --> 00:14:41,840 Speaker 1: how outlandish they are and how well they do with 230 00:14:41,880 --> 00:14:45,560 Speaker 1: this algorithm. YouTube came under fire a while back for 231 00:14:45,680 --> 00:14:50,040 Speaker 1: promoting videos claiming that the Las Vegas mass shooting was 232 00:14:50,080 --> 00:14:54,320 Speaker 1: a hoax because survivors and the families of the victims 233 00:14:54,640 --> 00:14:58,920 Speaker 1: were stunned and outraged. This was just a few days 234 00:14:59,000 --> 00:15:02,200 Speaker 1: after the shooting, which are curd at Mandalaid Bay. This 235 00:15:02,280 --> 00:15:07,400 Speaker 1: kind of proliferation concerns educators and media pundance because they 236 00:15:07,440 --> 00:15:10,360 Speaker 1: feel like people will fall into a sort of autopilot 237 00:15:10,440 --> 00:15:13,080 Speaker 1: and you know, instead of seeing a video pop up 238 00:15:13,080 --> 00:15:16,120 Speaker 1: and thinking I better check another source to see if 239 00:15:16,160 --> 00:15:20,440 Speaker 1: that's correct. Their concern is someone will read something about 240 00:15:22,160 --> 00:15:27,720 Speaker 1: the US capturing all guns and forcing people to use 241 00:15:27,840 --> 00:15:31,560 Speaker 1: gold for all financial transactions, and they won't go to 242 00:15:31,640 --> 00:15:34,320 Speaker 1: another source to check it. They'll just figure since it 243 00:15:34,400 --> 00:15:38,160 Speaker 1: popped up on YouTube, it must be true. I mean, 244 00:15:38,200 --> 00:15:42,040 Speaker 1: that's what I would assume. I'm kidding, but yeah, I mean, 245 00:15:42,040 --> 00:15:46,400 Speaker 1: they're definitely capitalizing on people's kind of gullibility here. So 246 00:15:46,960 --> 00:15:50,360 Speaker 1: what do you do gold when you're showing your kid 247 00:15:50,440 --> 00:15:53,880 Speaker 1: YouTube stop first she's watched it. Yeah, I don't know. 248 00:15:53,920 --> 00:15:56,080 Speaker 1: I'm gonna sort of peg myself here as not being 249 00:15:56,120 --> 00:15:58,360 Speaker 1: the most conscientious parent with that because I sort of like, 250 00:15:58,720 --> 00:16:00,840 Speaker 1: I kind of trust her to what she's doing, but 251 00:16:00,920 --> 00:16:04,840 Speaker 1: I know there's a lot of nefarious stuff going on there. Um. 252 00:16:04,920 --> 00:16:08,840 Speaker 1: She typically watches d I y videos and like gamer 253 00:16:08,840 --> 00:16:11,960 Speaker 1: type videos like Dan TDM and stuff like that, and 254 00:16:12,080 --> 00:16:14,640 Speaker 1: a lot of like kind of crafty videos um or 255 00:16:14,680 --> 00:16:19,000 Speaker 1: like some of those, Oh here's a satisfying um slice 256 00:16:19,000 --> 00:16:22,880 Speaker 1: of cake or whatever, you know. But she's so good 257 00:16:22,920 --> 00:16:27,320 Speaker 1: at self monitoring that I really don't worry about it. 258 00:16:27,400 --> 00:16:29,680 Speaker 1: But maybe maybe I'm gonna learn something in this episode 259 00:16:29,680 --> 00:16:33,040 Speaker 1: today that's gonna make me feel like I should. Yes, well, 260 00:16:33,280 --> 00:16:38,000 Speaker 1: we'll see forward into the breach, into the digital void. 261 00:16:38,280 --> 00:16:48,920 Speaker 1: After that is a word from our sponsors, and we're back. Yes, 262 00:16:49,040 --> 00:16:52,000 Speaker 1: there are controversies in the algorithm. There are people alleging 263 00:16:52,040 --> 00:16:54,720 Speaker 1: that there was a ghost in the machine. It gets 264 00:16:54,760 --> 00:17:00,400 Speaker 1: worse than just maybe a disrespectful video in the wake 265 00:17:00,480 --> 00:17:04,280 Speaker 1: of a tragedy. Some unidentified groups. And this is something 266 00:17:04,320 --> 00:17:07,120 Speaker 1: you and I have talked about. Off Ernol have conspired 267 00:17:07,160 --> 00:17:11,560 Speaker 1: to game YouTube's algorithm and hack things like YouTube Kids. 268 00:17:12,000 --> 00:17:18,840 Speaker 1: They're targeting children with um strange prank content. So there's 269 00:17:18,880 --> 00:17:23,320 Speaker 1: a character beloved by British children named Pepper Pig. About 270 00:17:23,359 --> 00:17:25,679 Speaker 1: Pepper Pig, I'm sure, yeah, you do, Okay, Well, tell 271 00:17:25,720 --> 00:17:28,040 Speaker 1: us a little bit about Pepper Pig. It's a two 272 00:17:28,040 --> 00:17:33,840 Speaker 1: dimensional British pig, British yep TV dimensional British pig. And 273 00:17:33,920 --> 00:17:37,840 Speaker 1: this this pig does the kinds of things you would 274 00:17:37,880 --> 00:17:40,480 Speaker 1: expect it to do on a children's show, but someone 275 00:17:40,520 --> 00:17:43,400 Speaker 1: went through and took advantage of the algorithm such that 276 00:17:43,640 --> 00:17:48,320 Speaker 1: children would watch maybe several clips, one to three clips 277 00:17:48,440 --> 00:17:51,080 Speaker 1: or so of Pepper Pig just on auto play, and 278 00:17:51,119 --> 00:17:53,280 Speaker 1: the next thing you know, it shows Pepper. There's a 279 00:17:53,280 --> 00:17:56,600 Speaker 1: new clip that shows Pepper Pig eating her father or 280 00:17:56,720 --> 00:18:00,480 Speaker 1: drinking bleach. This is very, very disturbed and stuff for 281 00:18:00,560 --> 00:18:03,239 Speaker 1: children to see. I'm actually texting with my kid right 282 00:18:03,280 --> 00:18:04,840 Speaker 1: now and I asked her to tell me about Pepper 283 00:18:04,920 --> 00:18:07,720 Speaker 1: Pig and uh, let's see if she's seen any of 284 00:18:07,760 --> 00:18:09,960 Speaker 1: these crazy Pepper Pig videos. But I don't think she has, 285 00:18:10,000 --> 00:18:13,360 Speaker 1: she would have said something about it. Well, we'll we'll 286 00:18:13,359 --> 00:18:16,760 Speaker 1: get an update in real time. Then, lud and violent 287 00:18:16,920 --> 00:18:20,120 Speaker 1: videos also do very well in this algorithm, or at 288 00:18:20,200 --> 00:18:23,760 Speaker 1: least they get a lot of support in the system. 289 00:18:23,800 --> 00:18:27,680 Speaker 1: There was one YouTube creator who was banned from monetizing 290 00:18:27,800 --> 00:18:32,400 Speaker 1: or making ad revenue from his strange videos because they 291 00:18:32,400 --> 00:18:35,800 Speaker 1: were disturbing things. There were videos of his children getting 292 00:18:35,840 --> 00:18:39,879 Speaker 1: flu shots, removing ear wax, crying because their pets died. 293 00:18:40,480 --> 00:18:43,960 Speaker 1: And this guy's defense was that he had only been 294 00:18:44,000 --> 00:18:49,679 Speaker 1: responding to the demands of the YouTube formula, the algorithm. 295 00:18:49,720 --> 00:18:51,879 Speaker 1: That's what got us out there in popular he said. 296 00:18:52,119 --> 00:18:54,359 Speaker 1: We learned to fuel it and do whatever it took 297 00:18:54,400 --> 00:18:57,560 Speaker 1: to please the algorithm. That's kind of weird, you know, 298 00:18:57,680 --> 00:19:01,640 Speaker 1: filming bad stuff happening to your children. Yeah, that's insane, 299 00:19:01,960 --> 00:19:05,200 Speaker 1: And we should stop for a second to talk about monetization. 300 00:19:06,200 --> 00:19:10,040 Speaker 1: People make videos that feed this algorithm because once those 301 00:19:10,119 --> 00:19:12,679 Speaker 1: videos are monetized, meaning they can slap and add on 302 00:19:12,720 --> 00:19:16,399 Speaker 1: the front of it, more views will equal more money eventually, 303 00:19:16,920 --> 00:19:20,520 Speaker 1: and research suggests that this creates a feedback loop of sorts, 304 00:19:20,760 --> 00:19:25,879 Speaker 1: with conspiratorial, divisive, sensational, and violent videos becoming the best 305 00:19:26,040 --> 00:19:28,520 Speaker 1: use of time for creators, at least in terms of 306 00:19:28,520 --> 00:19:33,000 Speaker 1: the bang for their buck clockwise. And up to this point, 307 00:19:33,840 --> 00:19:38,200 Speaker 1: we have just been discussing creeps on the internet, soulless 308 00:19:38,400 --> 00:19:43,400 Speaker 1: sky net like algorithms exploiting the same primal emotional responses 309 00:19:43,440 --> 00:19:47,240 Speaker 1: that make us slow down and gawk at car accidents. 310 00:19:47,840 --> 00:19:50,520 Speaker 1: But this is the disturbing part. This is a very 311 00:19:50,560 --> 00:19:53,440 Speaker 1: big butt. This is much more dangerous than a few 312 00:19:53,440 --> 00:19:58,960 Speaker 1: creeps trolling within appropriate cartoons. According to a former YouTube engineer, 313 00:19:59,000 --> 00:20:03,520 Speaker 1: a guy named yah Child's Lot, YouTube is something that 314 00:20:03,600 --> 00:20:06,800 Speaker 1: looks like reality but is distorted to make you spend 315 00:20:06,840 --> 00:20:10,800 Speaker 1: more time online, and he says the recommendation algorithm is 316 00:20:10,800 --> 00:20:14,280 Speaker 1: not optimizing for things that are truthful, or balanced or 317 00:20:14,320 --> 00:20:20,880 Speaker 1: healthy for democracy, and so when he left YouTube, officially 318 00:20:21,040 --> 00:20:23,439 Speaker 1: he just he wasn't up to snuff performance wise, but 319 00:20:23,560 --> 00:20:27,359 Speaker 1: he said he was pushed out because he was agitating 320 00:20:27,400 --> 00:20:32,439 Speaker 1: with other engineers to get a less dangerous algorithm or 321 00:20:32,440 --> 00:20:37,520 Speaker 1: to change what it values over just watch time. And 322 00:20:38,680 --> 00:20:43,359 Speaker 1: he went on to make his own efforts at transparency 323 00:20:43,440 --> 00:20:47,919 Speaker 1: to show the public how the YouTube algorithm works. He 324 00:20:48,000 --> 00:20:51,600 Speaker 1: believes that he's found shocking examples of this stuff going 325 00:20:51,800 --> 00:20:58,160 Speaker 1: very wrong. One was the run up to the presidential election. 326 00:20:58,320 --> 00:21:01,600 Speaker 1: Could you tell us a little bit about this? Absolutely so. 327 00:21:01,680 --> 00:21:05,280 Speaker 1: He actually observed in a short um relatively under the 328 00:21:05,359 --> 00:21:08,600 Speaker 1: radar blog spot post that was published after Trump was 329 00:21:08,640 --> 00:21:12,359 Speaker 1: elected um that the impact of YouTube's recommendation algorithm was 330 00:21:12,440 --> 00:21:16,240 Speaker 1: not a neutral thing at all during the presidential race. 331 00:21:16,280 --> 00:21:21,320 Speaker 1: In fact, it was pushing videos that were largely helpful 332 00:21:21,760 --> 00:21:25,640 Speaker 1: to the Trump campaign and damaging to the Clinton campaign. 333 00:21:26,040 --> 00:21:29,800 Speaker 1: He said. It was strange, Um, wherever you started, he said, 334 00:21:30,760 --> 00:21:33,440 Speaker 1: whether it was from a Trump search or a Clinton search, 335 00:21:33,480 --> 00:21:36,679 Speaker 1: the recommendation algorithm was much more likely to push you 336 00:21:37,240 --> 00:21:42,560 Speaker 1: in a pro Trump direction, which is fascinating because regardless 337 00:21:42,600 --> 00:21:46,520 Speaker 1: of our individual opinions for or against the particular candidate, 338 00:21:46,960 --> 00:21:49,919 Speaker 1: the problem here is not personally what anyone would vote for, 339 00:21:50,200 --> 00:21:52,280 Speaker 1: you know what I mean. It's bigger than that. It's 340 00:21:52,280 --> 00:21:54,919 Speaker 1: deeper than that. The problem here is that YouTube is 341 00:21:54,960 --> 00:21:59,800 Speaker 1: functioning under the illusion of neutrality, like an old television 342 00:22:00,000 --> 00:22:03,840 Speaker 1: that you are supposed to control the tube, but increasingly 343 00:22:03,880 --> 00:22:07,000 Speaker 1: it appears the opposite is true and the tube is 344 00:22:07,040 --> 00:22:11,480 Speaker 1: controlling you. The illusion neutrality goes hand in hand with 345 00:22:11,720 --> 00:22:18,160 Speaker 1: the illusion of agency, right or choice. This leads us 346 00:22:18,200 --> 00:22:22,119 Speaker 1: to some unanswered questions. We don't know what will change 347 00:22:22,200 --> 00:22:25,920 Speaker 1: or how we can check back in. Did did the 348 00:22:25,960 --> 00:22:28,440 Speaker 1: kiddo get back to you? She just said she hasn't 349 00:22:28,440 --> 00:22:30,440 Speaker 1: seen any of the creepy pepper pig videos. Oh well 350 00:22:30,440 --> 00:22:34,160 Speaker 1: that's great. Yes, that's crazy. So we have some morals 351 00:22:34,160 --> 00:22:37,320 Speaker 1: to the story. We have some unanswered questions. One, you 352 00:22:37,359 --> 00:22:40,119 Speaker 1: cannot let your kids run wild on YouTube. You have 353 00:22:40,160 --> 00:22:45,080 Speaker 1: to be very careful taking that one under. And we 354 00:22:45,160 --> 00:22:48,600 Speaker 1: also have to remember to discern fact from fiction. Just 355 00:22:48,600 --> 00:22:50,760 Speaker 1: because the flat Earth video pops up in your feet 356 00:22:50,800 --> 00:22:53,919 Speaker 1: doesn't make her flat. It just means you should double 357 00:22:54,040 --> 00:22:57,960 Speaker 1: check anything you see. And there's very very little chance 358 00:22:58,000 --> 00:23:00,679 Speaker 1: that YouTube will change the core functional of a system 359 00:23:00,720 --> 00:23:04,840 Speaker 1: anytime soon. There's just so much money on the table. 360 00:23:05,320 --> 00:23:09,200 Speaker 1: So it is up to us to change our own behavior, 361 00:23:09,359 --> 00:23:11,439 Speaker 1: or at least be more aware of the ways in 362 00:23:11,480 --> 00:23:16,680 Speaker 1: which we interact with this digital behemoth. Which I'm gonna 363 00:23:16,680 --> 00:23:19,800 Speaker 1: go ahead and say it all at all, you know, 364 00:23:19,840 --> 00:23:22,199 Speaker 1: taking account all the pros and all the cons. I 365 00:23:22,240 --> 00:23:25,680 Speaker 1: think YouTube is actually a great thing. But we want 366 00:23:25,720 --> 00:23:28,840 Speaker 1: to hear from you. Are we living in an increasingly 367 00:23:29,040 --> 00:23:35,640 Speaker 1: distorted reality? Are our decisions being guided by um algorithms 368 00:23:35,640 --> 00:23:37,560 Speaker 1: that may not be as fair as they would have 369 00:23:37,680 --> 00:23:41,040 Speaker 1: us believe. Or is the opposite the case. Is this 370 00:23:41,160 --> 00:23:43,280 Speaker 1: not a big deal, No one should worry about it. 371 00:23:43,720 --> 00:23:47,080 Speaker 1: Just skip the weird stuff. Let us know what you think. Yeah, 372 00:23:47,080 --> 00:23:49,520 Speaker 1: you can write to us on Facebook. We have a 373 00:23:49,560 --> 00:23:52,119 Speaker 1: private group they're called Here's where it Gets Crazy. Or 374 00:23:52,119 --> 00:23:53,480 Speaker 1: you can just go to the Facebook page where you 375 00:23:53,480 --> 00:23:55,640 Speaker 1: can find us at conspiracy Stuff, or if you want 376 00:23:55,640 --> 00:23:58,080 Speaker 1: to go to Instagram where a conspiracy stuff show. Twitter, 377 00:23:58,080 --> 00:24:01,040 Speaker 1: we're just conspiracy stuff, um. And we've got that that 378 00:24:01,200 --> 00:24:02,920 Speaker 1: handy dandy phone number that you can call in and 379 00:24:03,000 --> 00:24:05,080 Speaker 1: leave us some voicemails if you so choose. What's that 380 00:24:05,160 --> 00:24:08,080 Speaker 1: number billion and it's one eight three three st d 381 00:24:08,560 --> 00:24:12,159 Speaker 1: w y t K. Finally got in on it. That well, 382 00:24:12,200 --> 00:24:14,280 Speaker 1: you guys always doing and I never catch it in time, 383 00:24:14,600 --> 00:24:16,760 Speaker 1: and this time I was on the ball. There you 384 00:24:16,840 --> 00:24:20,199 Speaker 1: go on the ball. And if you would like to 385 00:24:20,240 --> 00:24:23,960 Speaker 1: hang out with us live, we have great news. We're 386 00:24:24,000 --> 00:24:27,479 Speaker 1: going on tour. We're hitting the road. Uh will this 387 00:24:27,520 --> 00:24:31,240 Speaker 1: episode be out while we're on tour? I'm not quite sure. Ben. Well, 388 00:24:31,480 --> 00:24:34,040 Speaker 1: if you're listening to this and it is after October. 389 00:24:35,359 --> 00:24:38,320 Speaker 1: Just find us. Go find a live show tab on 390 00:24:38,320 --> 00:24:40,600 Speaker 1: stuff they'll once you know dot com, and catch us 391 00:24:40,640 --> 00:24:43,000 Speaker 1: in a city near you. Please do and if then 392 00:24:43,080 --> 00:24:44,560 Speaker 1: that appeals to you, you can send us a good 393 00:24:44,560 --> 00:24:48,080 Speaker 1: old fashioned email where we are conspiracy at how stuff 394 00:24:48,080 --> 00:25:09,280 Speaker 1: Works dot com