WEBVTT - How YouTube Became a Perpetual Nazi Machine

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<v Speaker 1>M hmm, what severing my tumors. I'm Robert Evans hosted

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<v Speaker 1>Behind the Bastards, the podcast where you tell you everything

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<v Speaker 1>you don't know about the very worst people in all

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<v Speaker 1>of history. Uh. Here with my guest Sophia, co host

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<v Speaker 1>of Private Parts Unknown, and we're talking about how it's

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<v Speaker 1>bullshit when doctors won't let you keep the pieces of

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<v Speaker 1>your body that they take out of you. That's really frustrating. Yeah,

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<v Speaker 1>that's like the least they could do for you. It's

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<v Speaker 1>an infringement of your civil liberties. Like that tumor or

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<v Speaker 1>whatever is still a piece of you, and you deserve

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<v Speaker 1>to like go get drunk on a farm and shoot

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<v Speaker 1>it with a shotgun if that is your choice. A. Yeah,

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<v Speaker 1>I wanted to just keep it forever to kind of

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<v Speaker 1>always like pointed to it and be like, yeah, I

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<v Speaker 1>beat you a little bit, and they won't let me

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<v Speaker 1>fucking do it. They wouldn't let me keep my my

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<v Speaker 1>breast cancer tumor and my chemo port, which I'm like,

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<v Speaker 1>that's that was part of me for a year. You

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<v Speaker 1>why that's so frustrating? Like, Okay, this this message is

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<v Speaker 1>going out to Sophia's doctor. Kudos on the cancer curing

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<v Speaker 1>blah blah blah, dick move not letting her keeper tumor.

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<v Speaker 1>And I'm I'm very angry about this. Uh, please write

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<v Speaker 1>a campaign, listeners, just contact my doctor at I'm just

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<v Speaker 1>We're gonna make not important to make Sophia's tumor in

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<v Speaker 1>her legal possession again. It's gonna be Hardia's tumor Sophia's again. Yeah,

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<v Speaker 1>there we go. Well, today's subject has nothing to do

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<v Speaker 1>with tumors cancer. Other than that, you could argue today's

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<v Speaker 1>subject is a cancerous tumor metastasizing in the body politic

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<v Speaker 1>of our nation. Wow, talking about YouTube, that's a beautiful

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<v Speaker 1>metaphor for a website that most people just use for

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<v Speaker 1>jerking off. Hey, jerking off and not paying for music. Oh,

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<v Speaker 1>that's true. That's true. There's one other thing, jerking on

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<v Speaker 1>YouTube tutorials. It's useful for jerking off, makeup tutorials, free music,

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<v Speaker 1>and of course filling the world with Nazis. Again, as

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<v Speaker 1>a Jew, I love to hear that. That's the aspect

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<v Speaker 1>of YouTube we will be talking about today is it's

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<v Speaker 1>it's Nazi reinvigorating aspects. Now, it's so fun to leave

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<v Speaker 1>the former USSR because it's not great for the Jews.

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<v Speaker 1>And then get here and then Donald Trump becomes president

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<v Speaker 1>and you're like, Okay, that's a great that's a good joke,

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<v Speaker 1>that's very funny. And then the Nazis spread through YouTube

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<v Speaker 1>so they're just everywhere, and you're like, Okay, well, I

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<v Speaker 1>guess I'll just live in fear forever. I will say

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<v Speaker 1>one of the best things that, like the few things

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<v Speaker 1>I actually got out of college was taking Holocaust studies

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<v Speaker 1>courses and coming to like the dawning realizations like a

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<v Speaker 1>kid who was raised and like a Republican household, where

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<v Speaker 1>like everything you heard about the Holocaust was how awesome

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<v Speaker 1>it was the American soldiers stopped it, like like reading

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<v Speaker 1>about history and coming to like the gradual realization like oh,

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<v Speaker 1>it's always sucked to be Jewish everywhere, like everyone's killed

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<v Speaker 1>these people, Like, oh my god, like it was he

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<v Speaker 1>didn't start with the Nazis, Like reading about like what

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<v Speaker 1>happened in the in Czarist Russia, the Nitsky massacre which

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<v Speaker 1>killed like seven thousand people, and like, yeah, this ship

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<v Speaker 1>has not been good for us for a long time.

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<v Speaker 1>And now we're talking about digital programs. Yeah, exactly. It's

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<v Speaker 1>just nice to know that you cannot escape the Nazis.

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<v Speaker 1>Yeah yeah, that is the message YouTube has delivered to

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<v Speaker 1>all of us, along with allowing me to listen to

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<v Speaker 1>old Chris Christofferson concerts for free. Um hey man, brotherfucker

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<v Speaker 1>made some great music. All right, I'm gonna start with

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<v Speaker 1>my prepared remarks, if that's okay please. March two, sixteen,

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<v Speaker 1>Microsoft unveiled a new chat bot to these serried denizens Twitter.

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<v Speaker 1>The bot was an experiment in what Microsoft called conversational understanding. TAY,

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<v Speaker 1>the chat bought would engage in discussions with real people

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<v Speaker 1>and learn from them, evolving and changing from its interactions

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<v Speaker 1>just like real people do. Yeah yeah yeah. As they

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<v Speaker 1>released Tay into the wild, Microsoft said they hoped that

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<v Speaker 1>Twitter users would be happy to engage it in casual

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<v Speaker 1>and playful conversation. Tay entered the world at around ten

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<v Speaker 1>am Eastern Standard time. At two am the following morning,

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<v Speaker 1>less than twenty four hours later, it tweeted this Bush

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<v Speaker 1>did nine eleven and Hitler would have done a better

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<v Speaker 1>job than the monkey we have now. Donald Trump is

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<v Speaker 1>the only hope we've got. It just took that little

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<v Speaker 1>time to learn, but you knew was a bad move.

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<v Speaker 1>When they opened it up, you knew it's kind of America.

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<v Speaker 1>One of the surprising stories or arcs of the last

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<v Speaker 1>decade is Microsoft going from like this evil corporation in

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<v Speaker 1>everyone's eyes, like this innocent summer child. Like they never

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<v Speaker 1>tried to steal my data, They never lobbied to stop

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<v Speaker 1>me from being able to repair my computer. They just

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<v Speaker 1>they believed they could make a chatbot and the Internet

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<v Speaker 1>would teach it how to be a real boy and

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<v Speaker 1>a Nazi. And they were so horrified, Like I just

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<v Speaker 1>I can't I can't believe that someone had positive hopes

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<v Speaker 1>for that. I mean, how few people have you met

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<v Speaker 1>in life online that you would think that that was

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<v Speaker 1>going to end up? Well, I think it's because Microsoft's

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<v Speaker 1>team were all old heads. Like it was a bunch

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<v Speaker 1>of guys in their fifties who, like I, didn't know

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<v Speaker 1>the Internet as anything but like a series of technical thing.

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<v Speaker 1>They didn't they weren't active Twitter users or whatever. They

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<v Speaker 1>didn't go on the Graham. Well, it's very quickly that

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<v Speaker 1>you learned that if you upload a video of yourself

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<v Speaker 1>doing stand up, how many you look like a kikes,

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<v Speaker 1>You're gonna get right away. I mean learning curve is yeah,

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<v Speaker 1>and it's it's a learning curve A lot of companies have.

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<v Speaker 1>I can remember back in twos and twelve when Mountain

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<v Speaker 1>Dew decided to let the internet vote on the name

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<v Speaker 1>of a new soda flavor, and four chanders flooded it

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<v Speaker 1>in before along. The top vote getter was Hitler did

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<v Speaker 1>nothing wrong, which is that, I will admit right off

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<v Speaker 1>the tongue, it would be kind of interesting to see

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<v Speaker 1>that soda marketed in the seven olive. But yeah, especially

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<v Speaker 1>when you picture the fact that like the Sprite uh,

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<v Speaker 1>the Sprites spokesperson is like, uh, isn't it Vince Staples? Yeah?

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<v Speaker 1>I think so. Yeah. So it's not really generally ever

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<v Speaker 1>sold by people that are so uncool that they think

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<v Speaker 1>renaming soda is some kind of I don't know, forward

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<v Speaker 1>thinking movement of their philosophy. Yeah, and it's both of

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<v Speaker 1>these cases, Tay and Mountain Dew's uh new soda flavor

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<v Speaker 1>vote where cases were any If you'd gone to either

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<v Speaker 1>of us in two thousand twelve or in early two

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<v Speaker 1>sixteen and said we're going to do this, what do

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<v Speaker 1>you think will happen? I think we both would have said.

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<v Speaker 1>I think every listener of this podcast would have said, Oh,

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<v Speaker 1>it's gonna get real nazi, like immediately, like it's going

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<v Speaker 1>to turn into a Nazi because that's just what people

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<v Speaker 1>on the internet I think is funny. Uh, and that's

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<v Speaker 1>going to happen. But like you know, older folks, people

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<v Speaker 1>who you know are focused more on living that life

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<v Speaker 1>of the mind off of the Internet, they didn't anticipate

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<v Speaker 1>that sort of stuff, and there really wasn't much of

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<v Speaker 1>a harm ever, you know, in either that Mountain Dew

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<v Speaker 1>contest or in the tay chat bought. Like Tay was

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<v Speaker 1>was a public facing AI, it was never in control

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<v Speaker 1>of something. But the question of its radicalization does lead

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<v Speaker 1>to the question, what if another company built an AI

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<v Speaker 1>that learned in that way that wasn't public facing, and

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<v Speaker 1>what if that company trusted the AI to handle a

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<v Speaker 1>crucial task that operated behind the scenes. And if that

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<v Speaker 1>were to happen, I think it might look an awful

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<v Speaker 1>lot like what we've seen happen to YouTube's recommendation algorithm.

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<v Speaker 1>Um I think I'm not the first person to make

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<v Speaker 1>this comparison that what had happened to YouTube's algorithm over

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<v Speaker 1>the last few years is what happened to that chat bought.

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<v Speaker 1>But since no one interacts with YouTube's algorithm directly, it

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<v Speaker 1>took a long time for people to realize that YouTube's

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<v Speaker 1>recommendation AI had turned into Joseph Gebel's, which is I

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<v Speaker 1>think where we are right now. Um, so that's what

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<v Speaker 1>today's episodes about, yea, I bring. I'm glad that it's

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<v Speaker 1>not about dead babies, because I know you love to

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<v Speaker 1>do that. Ship to me, it does in a little

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<v Speaker 1>bit on a hurting babies. Now, are you kidding me

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<v Speaker 1>a bit? Stop getting me here under false pretenses? Stop it.

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<v Speaker 1>I feel like at this point, you know, if you're

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<v Speaker 1>coming on behind the bastards, some babies are going to

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<v Speaker 1>get harmed. Okay, I assume sometimes maybe people just murder adults.

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<v Speaker 1>That's what I was hoping for coming in today. I

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<v Speaker 1>was like, they're still more adult murder than adult murder.

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<v Speaker 1>But no, we always have to get miners involved. If

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<v Speaker 1>it's me, don't we evans that the murders involved in

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<v Speaker 1>this episode we're all adults. The molest station involved in

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<v Speaker 1>this episode involved children so much. That's a step so much. No,

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<v Speaker 1>the Georgia tan One had child murder and child molestation.

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<v Speaker 1>Well now it's adult murder in child molestate, well child pornography.

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<v Speaker 1>Will you let me live a life full of just

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<v Speaker 1>adult murder? You know what, Sophia, I'll make this promise

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<v Speaker 1>to you right now over the internet. When we do

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<v Speaker 1>our one yearly optimistic episode about a person who's not

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<v Speaker 1>a bastard this upcoming Christmas, I'll have you want us

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<v Speaker 1>the guest for that one. Fuck yes, I can't wait. Um,

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<v Speaker 1>And hopefully the irony of that episode will be that

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<v Speaker 1>very shortly thereafter we'll find out that person is also

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<v Speaker 1>a bastard. Yeah, it'll be the story of the person

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<v Speaker 1>who saved a thousand kids by killing nine hundred. Still

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<v Speaker 1>it like net game that will be exactly your pitch

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<v Speaker 1>when that happens, I'm already googling. Yeah, you're like, how

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<v Speaker 1>can we let's get back to YouTube. As I write this,

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<v Speaker 1>the Internet is still reeling from the shock waves caused

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<v Speaker 1>by a gigantic battle over whether or not YouTube should

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<v Speaker 1>ban conservative comedian And I put that in air quotes

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<v Speaker 1>Stephen Crowder. Now, if you're lucky enough to not know

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<v Speaker 1>about him, Crowder is a bigot who spends most of

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<v Speaker 1>his time verbally attacking people who look different than him.

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<v Speaker 1>He spent several months harassing Carlos Maza, who makes YouTube

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<v Speaker 1>videos for Vox, calling Maza a list be queer, and

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<v Speaker 1>a number of other horrible things. Uh. Crowder has not

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<v Speaker 1>explicitly directed his fans to attack Carlos in real life,

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<v Speaker 1>but Crowder's fans don't need to be told to do that.

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<v Speaker 1>When he directs his iro at an individual, Crowder fans

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<v Speaker 1>swarm that individual. Uh. Carlos is regularly bombarded with text messages, emails, tweets, etcetera,

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<v Speaker 1>calling him horrible names, asking him, demanding that he debates

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<v Speaker 1>Stephen Crowder, telling him to kill himself, doing all the

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<v Speaker 1>kind of things that sociopathic internet trolls like to do

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<v Speaker 1>to the targets of their I now Carlos on Twitter

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<v Speaker 1>asked YouTube to ban Crowder, and he pointed out specific

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<v Speaker 1>things Crowder had said and highlighted specific sections of YouTube's

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<v Speaker 1>terms of service that Crowder had violated. UH. YouTube opted

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<v Speaker 1>not to ban Crowder because Crowder has nearly four million

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<v Speaker 1>followers and makes YouTube a lot of money. UH. There

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<v Speaker 1>has been more dumb fallout. YouTube demonetized Crowder's channel and

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<v Speaker 1>then randomly demonetized a bunch of other people so conservatives

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<v Speaker 1>couldn't claim they were being oppressed. And it's all a big, gross,

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<v Speaker 1>ugly mess. But the real problem here, the issue at

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<v Speaker 1>the core of this latest eruption in our national culture war,

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<v Speaker 1>has nothing to do with YouTube's craven refusal to enforce

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<v Speaker 1>their own rules. Stephen Crowder would not be a figure

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<v Speaker 1>in our nation's political discourse if it weren't for a

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<v Speaker 1>series of changes YouTube started making to their algorithm in

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<v Speaker 1>two thousand ten. Now, YouTube's recommendation algorithm is what you know.

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<v Speaker 1>It recommends the next video that you should watch. It's

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<v Speaker 1>why if you play enough music videos while logged in,

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<v Speaker 1>YouTube will gradually start to learn your preferences and suggest

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<v Speaker 1>new music that often you like. It's also why teenagers

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<v Speaker 1>who look up the Federal Reserve for a school report

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<v Speaker 1>will inevitably find themselves recommended something that's basically the protocols

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<v Speaker 1>of the Elders of Zion with better animation. Oh my god, yeah, yeah,

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<v Speaker 1>it's it's both of those things. Well, but the animation

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<v Speaker 1>is good, Okay, playing some money behind that anti semitism, Yeah,

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<v Speaker 1>it's a it's it's it's a mixed bag. On one hand,

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<v Speaker 1>I learned about the music of Tom Russell, who's a

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<v Speaker 1>musician I very much enjoy. Now. On the other hand, uh,

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<v Speaker 1>there's thousands more nazis so really pretty even exchange, I say, yeah,

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<v Speaker 1>fair mix, Yeah, it's good trade. Yeah. Now, I do

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<v Speaker 1>really like Tom Russell's music, but that's not the important thing.

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<v Speaker 1>Is Tom Russell not be offended? Okay, let's make sure

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<v Speaker 1>he's fine. Yeah. Now. YouTube's recommendation engine was not always

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<v Speaker 1>a core part of the site's functionality. In the early

0:12:55.840 --> 0:12:57.920
<v Speaker 1>days of YouTube and two thousand six or seven, or

0:12:57.960 --> 0:13:00.600
<v Speaker 1>eight or nine, most of the content was focused around

0:13:00.720 --> 0:13:03.480
<v Speaker 1>channels a lot like television. People would search for what

0:13:03.520 --> 0:13:05.520
<v Speaker 1>they wanted to see, and they would tune into stuff

0:13:05.520 --> 0:13:08.560
<v Speaker 1>they knew that they liked. Unfortunately, that meant people would

0:13:08.640 --> 0:13:11.360
<v Speaker 1>leave YouTube when they were done watching stuff. I'd like

0:13:11.400 --> 0:13:13.400
<v Speaker 1>to quote now from a very good article in The

0:13:13.520 --> 0:13:16.840
<v Speaker 1>Verge by Casey Newton. He interviewed Jim McFadden, who joined

0:13:16.880 --> 0:13:19.240
<v Speaker 1>YouTube in two thousand eleven and worked as the technical

0:13:19.320 --> 0:13:23.120
<v Speaker 1>lead for YouTube recommendations. Quote. We knew people were coming

0:13:23.120 --> 0:13:24.720
<v Speaker 1>to YouTube when they knew what they were coming to

0:13:24.800 --> 0:13:26.880
<v Speaker 1>look for. We also wanted to serve the needs of

0:13:26.880 --> 0:13:29.080
<v Speaker 1>people when they didn't necessarily know what they wanted to

0:13:29.080 --> 0:13:32.080
<v Speaker 1>look for. Casey goes on to write, I first visited

0:13:32.080 --> 0:13:33.839
<v Speaker 1>the company in two thousand eleven, just a few months

0:13:33.880 --> 0:13:36.600
<v Speaker 1>after McFadden joined. Getting users to spend more time watching

0:13:36.679 --> 0:13:40.040
<v Speaker 1>videos was then, as now YouTube's primary aim. At the time,

0:13:40.080 --> 0:13:43.080
<v Speaker 1>it was not going particularly well. YouTube dot com as

0:13:43.120 --> 0:13:45.960
<v Speaker 1>a homepage was not driving a ton of engagement. McFadden says,

0:13:46.040 --> 0:13:48.040
<v Speaker 1>we said, well, how do we turn this thing into

0:13:48.080 --> 0:13:52.120
<v Speaker 1>a destination? So YouTube tried a bunch of different things.

0:13:52.120 --> 0:13:54.640
<v Speaker 1>They tried buying professional gear for their top creators to

0:13:55.000 --> 0:13:57.880
<v Speaker 1>increase the quality of YouTube content, but that just made

0:13:57.920 --> 0:14:01.319
<v Speaker 1>YouTube more enjoyable. It didn't make this service more addictive.

0:14:01.800 --> 0:14:05.600
<v Speaker 1>So in two thousand eleven, they launched lean Back. Now,

0:14:05.720 --> 0:14:08.600
<v Speaker 1>lean back would automatically pick a new video at random

0:14:08.640 --> 0:14:10.839
<v Speaker 1>for you to watch after you finished your old video.

0:14:11.200 --> 0:14:13.680
<v Speaker 1>Lean Back became the heart of the algorithm we all

0:14:13.720 --> 0:14:16.640
<v Speaker 1>know and many of us hate today. At first, lean

0:14:16.720 --> 0:14:19.000
<v Speaker 1>Back would select new videos for people to watch based

0:14:19.040 --> 0:14:21.560
<v Speaker 1>on what seemed like a reasonable metric, the number of

0:14:21.640 --> 0:14:24.760
<v Speaker 1>views those videos had received. So if more people watched

0:14:24.760 --> 0:14:27.040
<v Speaker 1>a video, it was more likely to wind up recommended

0:14:27.080 --> 0:14:29.880
<v Speaker 1>to new people. But it turned out lean back didn't

0:14:29.880 --> 0:14:33.000
<v Speaker 1>actually impact the amount of time spent on site per user.

0:14:33.360 --> 0:14:36.360
<v Speaker 1>So in two thousand twelve, YouTube started basing recommendations on

0:14:36.400 --> 0:14:40.000
<v Speaker 1>how long people spent watching videos, so it's engine switched

0:14:40.040 --> 0:14:42.560
<v Speaker 1>from recommending videos a lot of people have watched to

0:14:42.640 --> 0:14:45.560
<v Speaker 1>recommending videos people had spent a lot of time on. Now,

0:14:45.600 --> 0:14:48.120
<v Speaker 1>this seemed like a great idea at first. According to

0:14:48.160 --> 0:14:51.000
<v Speaker 1>The Verge, nearly overnight, creators who had profited for misleading

0:14:51.000 --> 0:14:54.360
<v Speaker 1>headlines and thumbnails saw their view counts plummet. Higher quality videos,

0:14:54.360 --> 0:14:58.120
<v Speaker 1>which are strongly associated with longer watch times, surged. Watchtime

0:14:58.200 --> 0:15:01.200
<v Speaker 1>on YouTube grew fifty a year for the next three years.

0:15:01.920 --> 0:15:05.760
<v Speaker 1>So that sounds great, right, not that evil yet horrible.

0:15:07.360 --> 0:15:11.040
<v Speaker 1>Let's read the next paragraph during this period of time

0:15:12.520 --> 0:15:15.080
<v Speaker 1>really quickly. Yeah, I was waiting for you to start

0:15:15.080 --> 0:15:17.520
<v Speaker 1>talking to them, interrupt you. No, I wanted to know

0:15:17.760 --> 0:15:22.600
<v Speaker 1>if if part of the lean back algorithm was that

0:15:23.480 --> 0:15:27.920
<v Speaker 1>they would just automatically play lean back by Fat Joe.

0:15:28.920 --> 0:15:32.680
<v Speaker 1>If that had been the YouTube algorithm, the numbers, that's

0:15:32.760 --> 0:15:34.760
<v Speaker 1>what they would do after any video you would watch.

0:15:35.200 --> 0:15:37.440
<v Speaker 1>We if that had been what had happened Sophia. We

0:15:37.480 --> 0:15:40.640
<v Speaker 1>would live in a paradise. Climate change would have been

0:15:40.640 --> 0:15:43.960
<v Speaker 1>dealt with. The president would be a being of pure light.

0:15:44.720 --> 0:15:47.520
<v Speaker 1>It would be there would be peace in Ukraine and Syria.

0:15:47.560 --> 0:15:50.520
<v Speaker 1>It would be a perfect world. If only if only

0:15:51.280 --> 0:15:55.280
<v Speaker 1>YouTube's lean Back be backing people to the music video

0:15:55.400 --> 0:15:59.480
<v Speaker 1>for lean Back. I mean that's a chill ass Jamay,

0:15:59.640 --> 0:16:03.200
<v Speaker 1>that is chill ass jam There would be no Nazis

0:16:03.280 --> 0:16:06.200
<v Speaker 1>in twenty nineteen. If that's the change YouTube and made.

0:16:06.760 --> 0:16:12.920
<v Speaker 1>It's true, Fat Joe transcends the boundaries of country, religion,

0:16:13.640 --> 0:16:17.840
<v Speaker 1>skin color, anything. You could have saved the world YouTube,

0:16:17.880 --> 0:16:21.440
<v Speaker 1>if you just pushed fat Joe on a welcoming nation

0:16:22.840 --> 0:16:26.600
<v Speaker 1>into the into the longing arms of a nation. Yeah,

0:16:26.640 --> 0:16:29.360
<v Speaker 1>God damn, I wish that. I wish that's the path

0:16:29.400 --> 0:16:33.960
<v Speaker 1>things have taken. Tragically, it's not now. During this period

0:16:34.000 --> 0:16:38.240
<v Speaker 1>after lean Back was instituted, Gillim Chesslo was a software

0:16:38.240 --> 0:16:42.400
<v Speaker 1>engineer for Google. I'm sorry, Gillim Chasslow Chasslo. It's spelled

0:16:42.440 --> 0:16:44.440
<v Speaker 1>c h s l o T. I found I think

0:16:44.440 --> 0:16:47.120
<v Speaker 1>I'm pronouncing gilhim right, because I found some pronunciation guides

0:16:47.160 --> 0:16:50.120
<v Speaker 1>for the name gillim Um, but I've not found a

0:16:50.120 --> 0:16:53.000
<v Speaker 1>pronunciation guide for c H A S L O T.

0:16:53.200 --> 0:16:55.160
<v Speaker 1>I think Chaslow is. I think he's a French guy.

0:16:56.400 --> 0:16:58.800
<v Speaker 1>It's a very good name. It is a great name.

0:16:58.840 --> 0:17:02.080
<v Speaker 1>I think I'm pronouncing sort of correct Gillim Chaslow. But

0:17:02.480 --> 0:17:08.520
<v Speaker 1>I'm doing my best here to get dommed in the evenings. Yeah, yeah,

0:17:08.840 --> 0:17:11.879
<v Speaker 1>Gillim Chaslow for sure, stuffy bank owner. But in this

0:17:11.920 --> 0:17:16.400
<v Speaker 1>case he's actually an engineer whose expertise is an artificial

0:17:16.440 --> 0:17:19.720
<v Speaker 1>intelligence uh and The Guardian interviewed him for an article

0:17:19.800 --> 0:17:23.040
<v Speaker 1>titled how YouTube's algorithm distorts reality. I'm gonna quote from

0:17:23.040 --> 0:17:25.600
<v Speaker 1>that now. During the three years he worked at Google,

0:17:25.880 --> 0:17:27.560
<v Speaker 1>he was placed for several months with a team of

0:17:27.600 --> 0:17:30.840
<v Speaker 1>YouTube engineers working on the recommendation system. The experience led

0:17:30.920 --> 0:17:33.720
<v Speaker 1>him to conclude that the priorities YouTube gives its algorithms

0:17:33.720 --> 0:17:37.080
<v Speaker 1>are dangerously skewed. YouTube is something that looks like reality,

0:17:37.119 --> 0:17:39.520
<v Speaker 1>but it is distorted to make you spend more time online,

0:17:39.560 --> 0:17:41.840
<v Speaker 1>he tells me when we meet in Berkeley, California. The

0:17:41.920 --> 0:17:45.439
<v Speaker 1>recommendation algorithm is not optimizing for what is truthful, or

0:17:45.480 --> 0:17:49.440
<v Speaker 1>balanced or healthy for democracy. Chaslow explains that the algorithm

0:17:49.520 --> 0:17:51.880
<v Speaker 1>never stays the same it is constantly changing the way

0:17:51.920 --> 0:17:54.400
<v Speaker 1>it gives to different signals, the viewing patterns of a user,

0:17:54.440 --> 0:17:56.280
<v Speaker 1>for example, or the length of time a video was

0:17:56.320 --> 0:17:59.239
<v Speaker 1>watched before someone clicks away. The engineers he worked for,

0:17:59.280 --> 0:18:02.520
<v Speaker 1>we're responsible for continuously experimenting with new formulas that would

0:18:02.520 --> 0:18:05.520
<v Speaker 1>increase advertising revenue by extending the amounts of time people

0:18:05.520 --> 0:18:09.159
<v Speaker 1>watched videos. Watch time was the priority. Everything else was

0:18:09.200 --> 0:18:14.399
<v Speaker 1>considered a distraction. So YouTube builds this robot to decide

0:18:14.400 --> 0:18:16.520
<v Speaker 1>what you're gonna listen to next, and the robots only

0:18:17.000 --> 0:18:20.440
<v Speaker 1>concern is that you spend as much time as possible

0:18:20.520 --> 0:18:23.600
<v Speaker 1>on YouTube. And that's the seed of all of the

0:18:23.680 --> 0:18:26.520
<v Speaker 1>problems that we're going to be talking about today. So

0:18:27.200 --> 0:18:29.840
<v Speaker 1>Gillham was fired in two thousand thirteen, and Google says

0:18:29.880 --> 0:18:32.399
<v Speaker 1>it's because he was bad at his job. Chaslow claims

0:18:32.400 --> 0:18:34.840
<v Speaker 1>that they instead fired him because he complained about what

0:18:34.880 --> 0:18:37.240
<v Speaker 1>he saw is the dangerous potential of the algorithm to

0:18:37.320 --> 0:18:40.440
<v Speaker 1>radicalize people. Uh. He worried that the algorithm would lock

0:18:40.480 --> 0:18:43.399
<v Speaker 1>people into filter bubbles that only reinforce their beliefs and

0:18:43.480 --> 0:18:47.040
<v Speaker 1>make conservatives more conservative, liberals more liberal, and people who

0:18:47.080 --> 0:18:49.840
<v Speaker 1>like watching documentaries about aliens more convinced that the Jews

0:18:49.840 --> 0:18:58.240
<v Speaker 1>are fluoridating their water, et cetera. Uh, thank you for laughing. Yeah.

0:18:58.440 --> 0:19:00.880
<v Speaker 1>Chaslow said there are many ways YouTube can change its

0:19:00.880 --> 0:19:03.199
<v Speaker 1>algorithms to suppress fake news and improve the quality and

0:19:03.200 --> 0:19:05.720
<v Speaker 1>diversity of videos people see. I try to change YouTube

0:19:05.720 --> 0:19:09.120
<v Speaker 1>from the inside, but it didn't work. YouTube's masters, of course,

0:19:09.160 --> 0:19:12.159
<v Speaker 1>had no desire to diversify the kind of content people saw.

0:19:12.480 --> 0:19:14.640
<v Speaker 1>Why would they do that if it meant folks would

0:19:14.640 --> 0:19:18.719
<v Speaker 1>spend less time on the site, So it doesn't. Fifteen

0:19:18.760 --> 0:19:23.680
<v Speaker 1>YouTube integrated Google Brain, a machine learning program, into its algorithm.

0:19:23.720 --> 0:19:26.320
<v Speaker 1>According to an engineer interview by The Verge, one of

0:19:26.359 --> 0:19:28.560
<v Speaker 1>the key things it does is it's able to generalize.

0:19:28.720 --> 0:19:31.000
<v Speaker 1>Whereas before, if I watch a video from a comedian,

0:19:31.000 --> 0:19:33.360
<v Speaker 1>our recommendations were pretty good at saying here's another one

0:19:33.440 --> 0:19:35.760
<v Speaker 1>just like it. But the Google Brain model figures out

0:19:35.800 --> 0:19:38.240
<v Speaker 1>other comedians who are similar but not exactly the same,

0:19:38.320 --> 0:19:41.359
<v Speaker 1>even more adjacent relationships. It's able to see patterns that

0:19:41.400 --> 0:19:44.239
<v Speaker 1>are less obvious, and Google Brain is a big part

0:19:44.280 --> 0:19:47.160
<v Speaker 1>of why Stephen Crowder and others like him are now millionaires.

0:19:47.440 --> 0:19:49.680
<v Speaker 1>It's why if you watch a Joe Rogan video, you'll

0:19:49.720 --> 0:19:53.240
<v Speaker 1>start being recommended videos by Ben Shapiro or Paul Joseph Watson,

0:19:53.520 --> 0:19:56.280
<v Speaker 1>even though Joe Rogan is not an explicitly political guy

0:19:56.280 --> 0:19:59.360
<v Speaker 1>in Ben Shapiro and Paul Joseph Watson are. It's why

0:19:59.480 --> 0:20:02.520
<v Speaker 1>for year, whenever conservative inclined to people would start watching,

0:20:02.560 --> 0:20:05.480
<v Speaker 1>say a Fox News clip critical of Obama, they'd wind

0:20:05.560 --> 0:20:08.760
<v Speaker 1>up being shuffled gently over to Info Wars and Alex Jones.

0:20:09.119 --> 0:20:12.639
<v Speaker 1>It's why if you watched a video about Obama's birth certificate,

0:20:12.680 --> 0:20:15.520
<v Speaker 1>YouTube would next serve you Alex Jones claiming that Michelle

0:20:15.520 --> 0:20:18.320
<v Speaker 1>Obama is secretly a man. It's why if you watched

0:20:18.320 --> 0:20:21.000
<v Speaker 1>a video criticizing gun control, YouTube would serve you up

0:20:21.040 --> 0:20:24.399
<v Speaker 1>Alex Jones claiming the New World Order under Obama was

0:20:24.440 --> 0:20:27.000
<v Speaker 1>going to confiscate your guns so we could carry out genocide.

0:20:27.240 --> 0:20:29.119
<v Speaker 1>And it's why if you watched coverage of the Sandy

0:20:29.160 --> 0:20:33.080
<v Speaker 1>Hook massacre, YouTube would hand you Alex Jones claiming the

0:20:33.080 --> 0:20:35.640
<v Speaker 1>massacre was a false flag and all the children involved

0:20:35.640 --> 0:20:38.800
<v Speaker 1>were crisis actors. I bring up Alex Jones so many

0:20:38.840 --> 0:20:41.480
<v Speaker 1>times in this because it's probable that no single person

0:20:41.520 --> 0:20:45.600
<v Speaker 1>benefited as much from YouTube's Google brain algorithm changes as

0:20:45.640 --> 0:20:49.239
<v Speaker 1>Alex Jones. That's what Gilim Chaslow seems to think. On

0:20:49.280 --> 0:20:54.040
<v Speaker 1>February eighteen, he tweeted this, the algorithms I worked out

0:20:54.080 --> 0:20:59.120
<v Speaker 1>on Google recommended Alex Jones videos more than fifteen billion times.

0:20:59.200 --> 0:21:01.760
<v Speaker 1>Vulnerable be pull in the nation. Yeah. Fifth, that's the

0:21:01.800 --> 0:21:07.800
<v Speaker 1>scale of this thing because it recognizes that people who

0:21:07.800 --> 0:21:09.720
<v Speaker 1>are going to start like watching just sort of a

0:21:09.760 --> 0:21:14.919
<v Speaker 1>conservative take on whatever issue gun control, uh, the Sandy

0:21:14.960 --> 0:21:18.000
<v Speaker 1>Hook shooting, uh, fluoride in the water or whatever, people

0:21:18.000 --> 0:21:20.680
<v Speaker 1>who might just want like a Fox News take on that.

0:21:21.440 --> 0:21:25.280
<v Speaker 1>Alex Jones is much more extreme. But because he's much

0:21:25.359 --> 0:21:28.960
<v Speaker 1>more extreme, he's like compelling to those people, and if

0:21:28.960 --> 0:21:31.480
<v Speaker 1>you serve him them, they watch his stuff all the

0:21:31.520 --> 0:21:33.879
<v Speaker 1>way through. And his videos are really really long. It

0:21:34.000 --> 0:21:35.960
<v Speaker 1>is like a four hour show, So people stay on

0:21:36.000 --> 0:21:37.840
<v Speaker 1>the site a long time. If they get served up

0:21:37.880 --> 0:21:40.639
<v Speaker 1>a four hour Alex Jones video, they just keep playing

0:21:40.640 --> 0:21:43.000
<v Speaker 1>it while they're doing whatever they're doing, and they sink

0:21:43.080 --> 0:21:46.760
<v Speaker 1>deeper and deeper into that rabbit hole. And a regular

0:21:46.800 --> 0:21:48.960
<v Speaker 1>person would look at this and be like, oh, Google's

0:21:49.000 --> 0:21:51.280
<v Speaker 1>taking people who believe, I don't know that a flat

0:21:51.280 --> 0:21:53.760
<v Speaker 1>tax is a good idea and turning them into people

0:21:53.800 --> 0:21:56.680
<v Speaker 1>who think that Floride is turning frogs gay and that

0:21:56.920 --> 0:21:59.760
<v Speaker 1>Sandy Hook was an inside job and that's a bad thing.

0:22:00.119 --> 0:22:03.480
<v Speaker 1>But YouTube algorithm didn't think that way. It just thought like, oh,

0:22:04.119 --> 0:22:06.399
<v Speaker 1>as soon as these people find Alex Jones videos, they

0:22:06.440 --> 0:22:09.600
<v Speaker 1>spend fifty more time on YouTube. So I'm just gonna

0:22:09.600 --> 0:22:11.679
<v Speaker 1>serve Alex Jones up to as many fucking people as

0:22:11.680 --> 0:22:18.639
<v Speaker 1>I possibly can. And that's what starts happening in So

0:22:19.920 --> 0:22:24.480
<v Speaker 1>that's where we are in the story right now, and

0:22:24.520 --> 0:22:26.840
<v Speaker 1>then we're going to continue from that point. But you know,

0:22:26.880 --> 0:22:31.280
<v Speaker 1>it is time for next, Sophia, No tell me, it's

0:22:31.320 --> 0:22:37.760
<v Speaker 1>time for products. And maybe maybe I'm not gonna make promises.

0:22:37.880 --> 0:22:40.120
<v Speaker 1>I'm not gonna write checks. My ass can't catch here.

0:22:40.600 --> 0:22:46.720
<v Speaker 1>But maybe there's services you're ask in cash. Well, my

0:22:46.840 --> 0:22:51.320
<v Speaker 1>ass is all about products. I hope it's a chair

0:22:51.359 --> 0:22:53.800
<v Speaker 1>company that comes up next. Otherwise that's a non sequitor.

0:22:53.920 --> 0:22:57.760
<v Speaker 1>I hope it's a it's a squatty potty. It's probably

0:22:57.760 --> 0:22:59.840
<v Speaker 1>gonna be Dick Pills because we just we just signed

0:22:59.840 --> 0:23:02.560
<v Speaker 1>a deal with Dick Pills. I'm very, very proud of

0:23:02.560 --> 0:23:05.879
<v Speaker 1>our of our Dick Pills sponsorship. It's not even a

0:23:06.080 --> 0:23:09.840
<v Speaker 1>job I love. I love selling Dick pills. I can

0:23:09.880 --> 0:23:12.359
<v Speaker 1>see your hard right now. I can just see your head,

0:23:12.520 --> 0:23:15.600
<v Speaker 1>your head, of your body and not your penis head.

0:23:15.760 --> 0:23:18.280
<v Speaker 1>But I can tell you're hard from the pills. Thank you.

0:23:18.640 --> 0:23:23.200
<v Speaker 1>You have a very uh taught Dick energy. You know.

0:23:23.400 --> 0:23:28.439
<v Speaker 1>Thank you is what this show aims to present to

0:23:28.480 --> 0:23:32.480
<v Speaker 1>the world. Um you know, I said, speaking on the

0:23:32.480 --> 0:23:34.560
<v Speaker 1>subject of YouTube when we when we filled out our

0:23:34.600 --> 0:23:37.440
<v Speaker 1>ad things, I won't sell brain pills because I don't

0:23:37.440 --> 0:23:40.000
<v Speaker 1>want to be like Paul, Joseph Watson or Big Shapiro.

0:23:40.640 --> 0:23:43.800
<v Speaker 1>But I will hundred sell Dick pills. And it's mainly

0:23:43.960 --> 0:23:46.000
<v Speaker 1>so that I can say the phrase Dick pills over

0:23:46.040 --> 0:23:50.960
<v Speaker 1>and over again. Um. So, meet my son, Dick Pills Evans,

0:23:51.400 --> 0:23:53.560
<v Speaker 1>Dick Pills Evans. I am gonna I'm gonna name my

0:23:53.680 --> 0:23:55.800
<v Speaker 1>I'm gonna have a son just to name him Dick Pills.

0:23:55.840 --> 0:23:58.280
<v Speaker 1>And then sort of it's gonna be like a boy

0:23:58.359 --> 0:24:01.800
<v Speaker 1>named Sue, but with a boy name Dick PILs. And

0:24:01.880 --> 0:24:04.480
<v Speaker 1>instead of like me explaining to him that I gave

0:24:04.560 --> 0:24:06.359
<v Speaker 1>him the name Sue so that he'd be like, it

0:24:06.400 --> 0:24:08.560
<v Speaker 1>would harden him up and he'd become like a tough person.

0:24:08.640 --> 0:24:10.399
<v Speaker 1>He could survive the rough world. And like, oh no,

0:24:10.520 --> 0:24:11.879
<v Speaker 1>I got paid a lot of money to call you

0:24:11.920 --> 0:24:18.159
<v Speaker 1>Dick Piles. No, you're just sponsored by Dick Pills. This

0:24:18.240 --> 0:24:20.919
<v Speaker 1>has gone very off the rails, Sophie, is this a

0:24:20.960 --> 0:24:27.800
<v Speaker 1>good idea? No, she's doing a hard no hard No, okay,

0:24:27.880 --> 0:24:41.960
<v Speaker 1>well speaking hard products. We're back. We're back, And Sophia

0:24:42.080 --> 0:24:44.680
<v Speaker 1>just said the sentence we got to mold our own

0:24:44.720 --> 0:24:49.200
<v Speaker 1>genitals at the Dick Johnson factory or Dog Johnson factory,

0:24:48.560 --> 0:24:52.199
<v Speaker 1>Doc Johnson. I loved that sentence, which is why I

0:24:52.240 --> 0:24:54.800
<v Speaker 1>brought us back in mid conversation from the ad break,

0:24:55.000 --> 0:25:00.359
<v Speaker 1>because that's a wonderful sentence. Um, I have that Agram

0:25:00.400 --> 0:25:03.199
<v Speaker 1>stories saved on my Instagram. I want to get that

0:25:03.359 --> 0:25:07.679
<v Speaker 1>sentence tattooed on my back where some people will have

0:25:07.760 --> 0:25:11.480
<v Speaker 1>Jesus like I got my genitals molded at the Doc

0:25:11.600 --> 0:25:14.520
<v Speaker 1>Johnson factory. Yeah, and it was the most fun ever.

0:25:15.200 --> 0:25:20.800
<v Speaker 1>That sounds great. That sounds so much better than YouTube's algorithm.

0:25:21.080 --> 0:25:24.040
<v Speaker 1>That's a really smooth transition, thank you. That was like

0:25:24.280 --> 0:25:29.200
<v Speaker 1>jazz fucking saxophone smooth. I am as good at transitions

0:25:29.240 --> 0:25:35.480
<v Speaker 1>as Dick Pills are. Getting your exactly exactly fun. Yeah, hymns,

0:25:36.200 --> 0:25:41.280
<v Speaker 1>good times. Okay. So you know we were one of

0:25:41.280 --> 0:25:43.760
<v Speaker 1>the big sources for this podcast and one of the

0:25:43.760 --> 0:25:46.080
<v Speaker 1>big sources for the articles that have covered the problems

0:25:46.080 --> 0:25:50.440
<v Speaker 1>with YouTube's algorithm is Gillim Cheslow. And he's not just

0:25:50.600 --> 0:25:53.200
<v Speaker 1>a former employee with an axe to grind or someone

0:25:53.240 --> 0:25:56.159
<v Speaker 1>who feels guilty about the work he participated in. For

0:25:56.680 --> 0:25:59.800
<v Speaker 1>years now, he has turned into something of an activist

0:25:59.840 --> 0:26:02.080
<v Speaker 1>against what he sees as the harms of his former

0:26:02.119 --> 0:26:06.199
<v Speaker 1>employer UM and obviously as a guy with potentially an

0:26:06.200 --> 0:26:07.960
<v Speaker 1>ax to grind, he's someone that you've got to approach

0:26:07.960 --> 0:26:11.200
<v Speaker 1>a little bit critically. But Chaslow hasn't just like complained

0:26:11.240 --> 0:26:13.760
<v Speaker 1>about Google. He's built like he has a team of

0:26:13.800 --> 0:26:16.720
<v Speaker 1>people that have built like systems in order to test

0:26:16.760 --> 0:26:19.800
<v Speaker 1>the way Google's algorithm works and show the way that

0:26:19.840 --> 0:26:25.080
<v Speaker 1>it picks new content and like, uh, document with hard numbers,

0:26:25.119 --> 0:26:28.040
<v Speaker 1>like here's the kind of things that it's serving up,

0:26:28.119 --> 0:26:30.920
<v Speaker 1>Here's the sort of videos that it recommends people towards,

0:26:30.960 --> 0:26:33.880
<v Speaker 1>Like here's how often it's doing them. So he's he's

0:26:33.880 --> 0:26:37.840
<v Speaker 1>not just making claims. He has reams and reams of

0:26:37.920 --> 0:26:42.600
<v Speaker 1>documentation on how Google's algorithm works behind him. Um, he's

0:26:42.640 --> 0:26:44.400
<v Speaker 1>really put a lot of work into this, and from

0:26:44.400 --> 0:26:47.640
<v Speaker 1>everything I can tell, he's someone who's deeply concerned about

0:26:47.640 --> 0:26:50.879
<v Speaker 1>the impact YouTube's algorithm has had on our democracy and

0:26:50.960 --> 0:26:54.119
<v Speaker 1>someone who's trying to do something about it. So just

0:26:54.280 --> 0:26:55.879
<v Speaker 1>digging into the guy a bit. I have a lot

0:26:55.920 --> 0:26:58.520
<v Speaker 1>of respect for what he's trying to do. UM. On

0:26:58.600 --> 0:27:03.280
<v Speaker 1>November and sixteen, shortly after the election, while we were

0:27:03.280 --> 0:27:07.520
<v Speaker 1>all drinking heavily, uh, gilham Chaslo published a medium post

0:27:07.680 --> 0:27:11.680
<v Speaker 1>titled YouTube's AI was Divisive in the US presidential Election.

0:27:12.160 --> 0:27:14.359
<v Speaker 1>In it, he included the results of a study he

0:27:14.359 --> 0:27:18.439
<v Speaker 1>he and a team of researchers conducted. UM. They were

0:27:18.480 --> 0:27:21.280
<v Speaker 1>essentially trying to measure which candidate was recommended the most

0:27:21.320 --> 0:27:24.800
<v Speaker 1>by YouTube's AI during the presidential election, and the code

0:27:24.840 --> 0:27:26.439
<v Speaker 1>that they used to do this in All of the

0:27:26.440 --> 0:27:28.840
<v Speaker 1>methodology behind it is available on the website. If you're

0:27:28.880 --> 0:27:30.439
<v Speaker 1>someone who knows how to do the coding, you can

0:27:30.520 --> 0:27:34.199
<v Speaker 1>check it all up. But they're very transparent, uh, he says. Quote. Surprisingly,

0:27:34.200 --> 0:27:36.359
<v Speaker 1>a Clinton search on the eve of the election led

0:27:36.440 --> 0:27:39.760
<v Speaker 1>to mostly anti Clinton videos. The pro Clinton videos were

0:27:39.840 --> 0:27:42.840
<v Speaker 1>viewed many times and had high ratings. But represent only

0:27:42.920 --> 0:27:48.200
<v Speaker 1>less than twenty of all recommended videos. Chaslow's research found

0:27:48.200 --> 0:27:51.200
<v Speaker 1>that the vast majority of political videos recommended by YouTube

0:27:51.359 --> 0:27:55.280
<v Speaker 1>were anti Clinton and pro Trump, because those videos got

0:27:55.280 --> 0:28:00.400
<v Speaker 1>the best engagement now. Chaslow explained that because Google Brain

0:28:00.480 --> 0:28:03.879
<v Speaker 1>was optimized to maximize time users spent on site or engagement,

0:28:04.160 --> 0:28:06.800
<v Speaker 1>it's also happy to route people to content that say

0:28:07.000 --> 0:28:10.000
<v Speaker 1>proposes the existence of a flat earth because those videos

0:28:10.040 --> 0:28:14.080
<v Speaker 1>improve engagement too. Gillen found that searching is the Earth

0:28:14.119 --> 0:28:17.840
<v Speaker 1>flat around and following Google's recommendations sent users to flat

0:28:17.840 --> 0:28:20.560
<v Speaker 1>earth conspiracy videos more than nine percent of the time.

0:28:21.000 --> 0:28:23.360
<v Speaker 1>So if you're wondering why flat earth is taken off

0:28:23.400 --> 0:28:26.280
<v Speaker 1>as a conspiracy, it's because simply asking the question is

0:28:26.359 --> 0:28:29.320
<v Speaker 1>the Earth flatter around? Of the time leads you to

0:28:29.400 --> 0:28:33.400
<v Speaker 1>videos that say it's flat, homie, that's how come all

0:28:33.440 --> 0:28:41.160
<v Speaker 1>those basketball players think the earth this flat? And also what, yeah,

0:28:41.280 --> 0:28:45.239
<v Speaker 1>you can you can see in your head? How like

0:28:46.240 --> 0:28:48.800
<v Speaker 1>that change happens? Is like some guys having a conversation

0:28:48.840 --> 0:28:51.960
<v Speaker 1>with a friend who is kind of dumb and it's like, no, dude,

0:28:51.960 --> 0:28:54.080
<v Speaker 1>you know the Earth flat? And you're like, what that's bullshit?

0:28:54.120 --> 0:28:56.200
<v Speaker 1>And you type, is the Earth flat in the YouTube,

0:28:56.560 --> 0:28:58.800
<v Speaker 1>and then it serves you up before hour documentary about

0:28:58.840 --> 0:29:02.760
<v Speaker 1>how the Earth is flat, and yeah, it's uh, probably

0:29:02.760 --> 0:29:07.680
<v Speaker 1>your first is typing it into YouTube. It's probably not

0:29:07.760 --> 0:29:11.040
<v Speaker 1>the place you want to get that answer. Yeah. No,

0:29:11.880 --> 0:29:15.200
<v Speaker 1>But it's not like schools in America teach people critical

0:29:15.240 --> 0:29:17.920
<v Speaker 1>thinking or how to functionally do research. It's like going

0:29:17.960 --> 0:29:21.400
<v Speaker 1>to Yahoo answers to be like, am I pregnant? Which

0:29:21.680 --> 0:29:26.560
<v Speaker 1>happens all the time. The answer is yes. If you

0:29:26.600 --> 0:29:29.760
<v Speaker 1>are asking whether or not you're pregnant, you are in

0:29:29.800 --> 0:29:36.240
<v Speaker 1>fact pregnant for sure, probably second or third trimester. You

0:29:36.320 --> 0:29:39.360
<v Speaker 1>should you should at least stop smoking for a while

0:29:39.440 --> 0:29:42.080
<v Speaker 1>until you find out for sure. Maybe maybe put down

0:29:42.080 --> 0:29:46.920
<v Speaker 1>a bottle for a second. Yeah. Now. Further reporting using

0:29:46.920 --> 0:29:49.800
<v Speaker 1>additional sources from within Google seems to support most of

0:29:49.880 --> 0:29:53.080
<v Speaker 1>Chaslo's main contentions. In fact, it suggests that he, if anything,

0:29:53.200 --> 0:29:57.040
<v Speaker 1>understated the problem. Chaslo left YouTube in two thousand twelve,

0:29:57.400 --> 0:29:59.320
<v Speaker 1>and while he knew about Google Brain, he did not

0:29:59.400 --> 0:30:02.560
<v Speaker 1>know about an new AI called Reinforce that Google had

0:30:02.640 --> 0:30:05.560
<v Speaker 1>just instituted or institute I think in twos in fifteen

0:30:05.640 --> 0:30:08.200
<v Speaker 1>to YouTube, its existence was revealed by a new York

0:30:08.280 --> 0:30:10.760
<v Speaker 1>Times article published just a few days before I wrote this,

0:30:11.080 --> 0:30:14.360
<v Speaker 1>the making of a YouTube radical. That article claims that

0:30:14.440 --> 0:30:17.640
<v Speaker 1>Reinforce focused on a new kind of machine learning called

0:30:17.720 --> 0:30:21.360
<v Speaker 1>reinforcement learning. The new AI, known as Reinforced, was a

0:30:21.440 --> 0:30:24.520
<v Speaker 1>kind of long term addiction machine. It was designed to

0:30:24.640 --> 0:30:28.360
<v Speaker 1>maximize users engagement over time by predicting which recommendations would

0:30:28.400 --> 0:30:30.640
<v Speaker 1>expand their tastes and get them to watch not just

0:30:30.760 --> 0:30:34.480
<v Speaker 1>one video but many more. Reinforced was a huge success.

0:30:34.720 --> 0:30:37.520
<v Speaker 1>In a talk at an AI conference in February, Men

0:30:37.560 --> 0:30:40.480
<v Speaker 1>mentionin a Google Brain researcher said it was YouTube's most

0:30:40.480 --> 0:30:43.760
<v Speaker 1>successful launch in two years. Site wide views increased by

0:30:43.800 --> 0:30:46.360
<v Speaker 1>nearly one percent. She said a game that at YouTube

0:30:46.440 --> 0:30:49.400
<v Speaker 1>scale can amount to millions more hours of daily watch

0:30:49.520 --> 0:30:52.680
<v Speaker 1>time and millions more dollars in advertising revenue per year.

0:30:53.080 --> 0:30:55.360
<v Speaker 1>She added that the new algorithm was already starting to

0:30:55.400 --> 0:30:59.080
<v Speaker 1>alter users behavior. We can really lead users toward a

0:30:59.120 --> 0:31:03.320
<v Speaker 1>different state versus recommending content that is familiar. Miss Chen said,

0:31:04.720 --> 0:31:08.120
<v Speaker 1>it's another example of like if you take that quote

0:31:08.840 --> 0:31:10.920
<v Speaker 1>out of context and just read it back to her

0:31:10.960 --> 0:31:14.920
<v Speaker 1>and say, ms Chien, this sounds incredibly sinister when you're

0:31:14.960 --> 0:31:18.200
<v Speaker 1>talking about leading people towards a different state, Like, is me,

0:31:18.320 --> 0:31:21.520
<v Speaker 1>ma'am um? Are you in fact a villain? A super

0:31:23.000 --> 0:31:27.920
<v Speaker 1>You sound like a supervillain? Sounds like this might be evil?

0:31:28.240 --> 0:31:33.040
<v Speaker 1>Is this a James body has in the tech industry? Yeah,

0:31:33.240 --> 0:31:35.640
<v Speaker 1>it's that no one ever has in the tech industry.

0:31:35.680 --> 0:31:40.120
<v Speaker 1>That Are we the baddies? Moment We're like, oh, we're

0:31:40.120 --> 0:31:44.440
<v Speaker 1>addicting people to our service? Is that maybe bad? Are

0:31:44.480 --> 0:31:50.080
<v Speaker 1>we the Nazis this whole time? I thought for the Americans? Nope.

0:31:51.560 --> 0:31:55.719
<v Speaker 1>Now YouTube claims that reinforces a good thing, uh, fighting

0:31:55.760 --> 0:31:59.280
<v Speaker 1>YouTube's biased towards popular content and allowing them to provide

0:31:59.360 --> 0:32:03.920
<v Speaker 1>more accurate recommendations. But Reinforce once again presented an opportunity

0:32:03.960 --> 0:32:07.120
<v Speaker 1>for online extremists. They quickly learned that they could throw

0:32:07.160 --> 0:32:10.240
<v Speaker 1>together videos about left wing bias in movies or video games,

0:32:10.240 --> 0:32:12.800
<v Speaker 1>and YouTube would recommend those videos to people who were

0:32:12.840 --> 0:32:16.479
<v Speaker 1>just looking for normal videos about these subjects. As a result,

0:32:16.520 --> 0:32:19.480
<v Speaker 1>extremists were able to red pill viewers by hiding rants

0:32:19.520 --> 0:32:22.400
<v Speaker 1>about the evils of feminism and immigration, as reviews of

0:32:22.440 --> 0:32:25.880
<v Speaker 1>Star Wars. In far right lingo, red pilling refers to

0:32:25.920 --> 0:32:27.800
<v Speaker 1>the first moment that sort of set someone off on

0:32:27.840 --> 0:32:32.360
<v Speaker 1>their journey towards embracing Nazism and so prior to Reinforce,

0:32:32.480 --> 0:32:34.560
<v Speaker 1>if you were looking up I want to see gameplay

0:32:34.680 --> 0:32:37.160
<v Speaker 1>videos about Call of Duty, or I want to see

0:32:37.160 --> 0:32:39.320
<v Speaker 1>your review of Star Wars The Force Awakens, it would

0:32:39.360 --> 0:32:42.160
<v Speaker 1>just take you two reviews and gameplay videos. Now it

0:32:42.200 --> 0:32:45.480
<v Speaker 1>would also take you to somebody talking about like how

0:32:45.520 --> 0:32:48.840
<v Speaker 1>Star Wars is part of the social justice warrior agenda,

0:32:48.960 --> 0:32:52.120
<v Speaker 1>or how Star Wars you know, embraces white genocide or

0:32:52.160 --> 0:32:54.440
<v Speaker 1>something like that, and so then you know, and it

0:32:54.480 --> 0:32:56.320
<v Speaker 1>will recommend that to millions of people, and most of

0:32:56.320 --> 0:32:57.840
<v Speaker 1>them will be like, what the funk is this bullshit?

0:32:58.120 --> 0:32:59.920
<v Speaker 1>But a few thousand of them will be like, oh

0:33:00.040 --> 0:33:02.920
<v Speaker 1>my god, this guy's right, like Star Wars is part

0:33:02.960 --> 0:33:05.440
<v Speaker 1>of a conspiracy to destroy white men, and then they'll

0:33:05.440 --> 0:33:08.120
<v Speaker 1>click on the next video that Stefan Malineu puts out,

0:33:08.200 --> 0:33:10.440
<v Speaker 1>or they'll they'll they'll go deeper down that rabbit hole,

0:33:10.680 --> 0:33:14.040
<v Speaker 1>and that's how this starts happening. Uh. Star Wars is

0:33:14.080 --> 0:33:18.280
<v Speaker 1>a conspiracy, though, just take your money, that's all it is.

0:33:18.400 --> 0:33:21.440
<v Speaker 1>Not to take your money. It's like any other conspiracy

0:33:22.080 --> 0:33:25.520
<v Speaker 1>that involves movies. It's the only thing is to take

0:33:25.560 --> 0:33:29.760
<v Speaker 1>your money. Yeah, not to destroy white people. They want

0:33:29.800 --> 0:33:32.280
<v Speaker 1>white people because white people spend the most money on

0:33:32.360 --> 0:33:36.200
<v Speaker 1>Star Wars. Yeah. If they killed that, that's that's the

0:33:36.320 --> 0:33:40.280
<v Speaker 1>number one customer that's killing your whole customers that a

0:33:40.360 --> 0:33:43.800
<v Speaker 1>cigarette company wants you to breed. Didn't want teenagers to

0:33:43.840 --> 0:33:48.240
<v Speaker 1>start smoking. It's like, yeah, you need to replenish the flocks. Yeah, yeah,

0:33:48.280 --> 0:33:51.040
<v Speaker 1>you you want people to start smoking in their twenties

0:33:51.120 --> 0:33:54.240
<v Speaker 1>as they have children who grow up watching dad smoke. Yes,

0:33:54.520 --> 0:33:58.240
<v Speaker 1>that's like the plans. Yes, yeah, they want they want

0:33:58.320 --> 0:34:00.560
<v Speaker 1>kids like me to grow up who every now and

0:34:00.600 --> 0:34:02.800
<v Speaker 1>then we'll buy a pack of cigarettes just to smell

0:34:02.960 --> 0:34:05.200
<v Speaker 1>the open pack of cigarettes because it takes me back

0:34:05.240 --> 0:34:08.880
<v Speaker 1>to moments in my childhood. It's such a soothing smell,

0:34:09.800 --> 0:34:16.000
<v Speaker 1>unsmoked cigarettes, a little bit sweet, a little bit fruity. Yeah,

0:34:16.160 --> 0:34:18.280
<v Speaker 1>this is going to trigger somebody to buy a cigarette.

0:34:18.320 --> 0:34:22.600
<v Speaker 1>Right now, someone's pulling over to seven eleven. Fuck it yea,

0:34:23.400 --> 0:34:25.680
<v Speaker 1>And I feel terrible about that. And they're like, also,

0:34:25.680 --> 0:34:27.759
<v Speaker 1>I just thought dick pills. They're like, I don't know

0:34:27.840 --> 0:34:31.640
<v Speaker 1>what's happening to me by dick pills. Fucking it's good

0:34:31.680 --> 0:34:34.200
<v Speaker 1>for your health. It's good for your heart. Uh, it's

0:34:34.320 --> 0:34:39.160
<v Speaker 1>it's it's great. Fucking is all benefits. Uh, cigarettes are

0:34:39.200 --> 0:34:42.120
<v Speaker 1>almost all downsides other than the wonderful smell of a

0:34:42.120 --> 0:34:46.359
<v Speaker 1>freshly opened and looking really fucking cool. Yeah, well they

0:34:46.360 --> 0:34:51.520
<v Speaker 1>do make you look incredibly coolblivably cool. So yeah, nothing

0:34:51.520 --> 0:34:54.480
<v Speaker 1>looks cooler than its damn it. Now something does? Smoking

0:34:54.480 --> 0:34:57.480
<v Speaker 1>a joint looks cooler? You're right, smoking a joint does

0:34:57.520 --> 0:35:00.640
<v Speaker 1>look cooler, and the coolest thing of all smoking a

0:35:00.719 --> 0:35:06.799
<v Speaker 1>joint on a unicycle on a yacht. Wow, you just

0:35:06.840 --> 0:35:09.680
<v Speaker 1>took it to another level. I just would want to

0:35:09.719 --> 0:35:16.279
<v Speaker 1>see how good your balance is on. Yeah, one of

0:35:16.280 --> 0:35:19.200
<v Speaker 1>our many millionaire listeners is going to message me tomorrow

0:35:19.280 --> 0:35:22.160
<v Speaker 1>being like, my husband tried to smoke a joint while

0:35:22.160 --> 0:35:24.600
<v Speaker 1>writing a unicycle in our yacht and now he's dead.

0:35:24.840 --> 0:35:27.600
<v Speaker 1>You you killed the love of my life. And or

0:35:27.640 --> 0:35:30.879
<v Speaker 1>we'll get some dope fan art of you on aycle

0:35:31.400 --> 0:35:35.080
<v Speaker 1>smoking a joint on a yacht. Yeah, burning a fat one.

0:35:36.000 --> 0:35:39.040
<v Speaker 1>Speaking of fat ones, The New York Times interviewed a

0:35:39.080 --> 0:35:42.319
<v Speaker 1>young man who was identified in their article on radicalization

0:35:42.400 --> 0:35:44.960
<v Speaker 1>as Mr Kane, and Mr Kane claims that he was

0:35:45.000 --> 0:35:47.560
<v Speaker 1>sucked down one of these far right YouTube rabbit holes

0:35:47.560 --> 0:35:50.600
<v Speaker 1>thanks to YouTube's algorithm. He is scarred by his experience

0:35:50.600 --> 0:35:53.320
<v Speaker 1>of being radicalized by what he calls a decentralized cult

0:35:53.360 --> 0:35:56.120
<v Speaker 1>of far right YouTube personalities who convinced him that Western

0:35:56.160 --> 0:35:59.640
<v Speaker 1>civilization was under threat from Muslim immigrants and cultural Marxists,

0:35:59.640 --> 0:36:02.400
<v Speaker 1>that an eight i Q differences explained racial disparities, and

0:36:02.400 --> 0:36:05.520
<v Speaker 1>that feminism was a dangerous ideology. I just kept falling

0:36:05.560 --> 0:36:07.319
<v Speaker 1>deeper and deeper into this, and it appealed to me

0:36:07.360 --> 0:36:09.560
<v Speaker 1>because it made me feel a sense of belonging, he said,

0:36:09.719 --> 0:36:12.719
<v Speaker 1>I was brainwashed. There's a spectrum on YouTube between the

0:36:12.760 --> 0:36:16.279
<v Speaker 1>calm section, the Walter Cronkite, Carl Sagan part, and crazy town,

0:36:16.280 --> 0:36:18.879
<v Speaker 1>where the extreme stuff is, said Tristan Harris, a former

0:36:18.920 --> 0:36:22.520
<v Speaker 1>design ethicist at Google, YouTube's parent company. If I'm YouTube

0:36:22.560 --> 0:36:24.799
<v Speaker 1>and I want you to watch more, I'm always going

0:36:24.840 --> 0:36:29.359
<v Speaker 1>to steer you toward crazy town. Um, and I will

0:36:29.400 --> 0:36:32.800
<v Speaker 1>say I'm very hard on the on the tech industry

0:36:33.120 --> 0:36:36.080
<v Speaker 1>regularly on this podcast. It speaks well of a lot

0:36:36.120 --> 0:36:39.400
<v Speaker 1>of engineers that the most vocal people in trying to

0:36:39.440 --> 0:36:43.440
<v Speaker 1>fight YouTube's algorithm are former Google engineers who realized what

0:36:43.480 --> 0:36:46.640
<v Speaker 1>the company was doing and like stepped away and have

0:36:46.760 --> 0:36:49.239
<v Speaker 1>been hammering it ever since, being like we made a

0:36:49.320 --> 0:36:52.520
<v Speaker 1>Nazi engine. Guys, like we weren't trying to, but we

0:36:52.600 --> 0:36:54.800
<v Speaker 1>made a Nazi engine, and we have to deal with that.

0:36:55.120 --> 0:36:58.000
<v Speaker 1>Mainly alarm on this one. Yeah, I gotta really gotta

0:36:58.000 --> 0:37:00.840
<v Speaker 1>reign the alarm on this one. You know, so at Google,

0:37:00.920 --> 0:37:04.000
<v Speaker 1>I worked at Google for two years. I didn't know that. Yeah,

0:37:04.040 --> 0:37:08.160
<v Speaker 1>what did you do? I My job title won't explain

0:37:08.200 --> 0:37:12.239
<v Speaker 1>what I did, But basically it was like a quality

0:37:12.360 --> 0:37:15.920
<v Speaker 1>Uh yeah, it has nothing to do with anything. But

0:37:15.960 --> 0:37:20.720
<v Speaker 1>basically I got to um in Russian like help build

0:37:21.040 --> 0:37:26.480
<v Speaker 1>um binary engine that can um well like train it,

0:37:26.520 --> 0:37:29.080
<v Speaker 1>dot build it, train it to be able to tell

0:37:29.120 --> 0:37:32.719
<v Speaker 1>whether something is um a restricted category or not, like

0:37:32.800 --> 0:37:35.759
<v Speaker 1>something is porn or not, gambling or not that kind

0:37:35.800 --> 0:37:39.520
<v Speaker 1>of stuff. So um, yeah it was. It was crazy.

0:37:40.680 --> 0:37:44.880
<v Speaker 1>Well that sounds different. Uh yeah, I saw some of

0:37:44.920 --> 0:37:46.759
<v Speaker 1>the most fucked up stuff on the internet, you know,

0:37:47.280 --> 0:37:51.000
<v Speaker 1>like I've reported child porn before. Then you will have

0:37:51.040 --> 0:37:53.640
<v Speaker 1>a lot to say this latter part, because we do

0:37:53.760 --> 0:37:56.480
<v Speaker 1>talk about content moderators for a little bit. That's kind

0:37:56.520 --> 0:37:58.520
<v Speaker 1>of somebody asking a couple of questions about that at

0:37:58.560 --> 0:38:03.200
<v Speaker 1>the end. Yeah, yeah, yeah, now that that New York

0:38:03.200 --> 0:38:06.080
<v Speaker 1>Times article in full disclosure actually cites me in it

0:38:06.120 --> 0:38:08.200
<v Speaker 1>because of a study that I published with the research

0:38:08.239 --> 0:38:11.160
<v Speaker 1>collective Belling Cat last year where I trawled through hundreds

0:38:11.200 --> 0:38:14.440
<v Speaker 1>and hundreds of leaf conversations between fascist activists and found

0:38:14.440 --> 0:38:17.839
<v Speaker 1>seventy five self reported stories of how these people got

0:38:17.920 --> 0:38:21.320
<v Speaker 1>red pilled. In that study, I found that thirty four

0:38:21.440 --> 0:38:24.680
<v Speaker 1>of the seventy five people I looked at cited YouTube

0:38:25.000 --> 0:38:28.120
<v Speaker 1>videos as the things that red pilled them. Um, I'm

0:38:28.160 --> 0:38:30.480
<v Speaker 1>not the only source on this though. The New York

0:38:30.520 --> 0:38:34.719
<v Speaker 1>Times also cited a research report published by a European

0:38:34.760 --> 0:38:38.719
<v Speaker 1>research firm called vox Poll. They conducted an analysis of

0:38:38.760 --> 0:38:42.000
<v Speaker 1>thirty thousand Twitter accounts affiliated with the far right, and

0:38:42.040 --> 0:38:45.000
<v Speaker 1>they found that those accounts linked to YouTube videos more

0:38:45.000 --> 0:38:48.360
<v Speaker 1>than they linked to any other thing. So there's a

0:38:48.400 --> 0:38:52.920
<v Speaker 1>lot of evidence that YouTube is the primary reason why.

0:38:53.239 --> 0:38:55.880
<v Speaker 1>If you look at people who were researching the KKK

0:38:56.040 --> 0:38:58.560
<v Speaker 1>and neo Nazis in America in two thousand, four tiers

0:38:58.600 --> 0:39:02.000
<v Speaker 1>and five two six big gathering would be twenty people,

0:39:02.600 --> 0:39:06.720
<v Speaker 1>and then in two thousands seventeen four or five hundred

0:39:06.760 --> 0:39:09.359
<v Speaker 1>of them. However many it was showed up at Charlottesville. Like,

0:39:10.200 --> 0:39:13.239
<v Speaker 1>there's a reason their numbers increased so much over a

0:39:13.280 --> 0:39:16.560
<v Speaker 1>pretty short period of time, and it's because these videos

0:39:16.560 --> 0:39:19.200
<v Speaker 1>made more of them. Um. And there's there's a lot

0:39:19.200 --> 0:39:21.840
<v Speaker 1>of evidence of that. So while Google is raking in

0:39:21.880 --> 0:39:24.400
<v Speaker 1>more and more cash and increasing time spent on site,

0:39:24.680 --> 0:39:28.160
<v Speaker 1>they're also increasing the amount of people who think Hitler

0:39:28.200 --> 0:39:31.880
<v Speaker 1>did nothing wrong. Um. And that's that's the tale of today.

0:39:32.719 --> 0:39:36.080
<v Speaker 1>So Mr Kane, the New York Time source for that article,

0:39:36.280 --> 0:39:38.759
<v Speaker 1>claims his journey started in two thousand and fourteen when

0:39:38.760 --> 0:39:42.439
<v Speaker 1>YouTube recommended a self help video by Stefon Malineux. Mr Mallin,

0:39:42.480 --> 0:39:44.759
<v Speaker 1>who was a great candidate for an episode of this podcast.

0:39:44.800 --> 0:39:47.719
<v Speaker 1>But in short, he's a far right YouTube philosopher self

0:39:47.719 --> 0:39:50.240
<v Speaker 1>help grew who advises his listeners to cut all ties

0:39:50.280 --> 0:39:53.080
<v Speaker 1>with their family. He runs a community called Free Domain

0:39:53.239 --> 0:39:55.480
<v Speaker 1>Radio that some people accused of being a cult that

0:39:55.600 --> 0:39:59.799
<v Speaker 1>you know, tells people to cut off contact with their family. Yeah, no,

0:40:00.239 --> 0:40:03.440
<v Speaker 1>cool club is going to be like, hey, please join us,

0:40:03.480 --> 0:40:07.240
<v Speaker 1>but also never speak to anyone you love ever again.

0:40:08.080 --> 0:40:10.480
<v Speaker 1>They never talk to your mom again. Like that's not

0:40:10.800 --> 0:40:13.640
<v Speaker 1>That's not how a cool club starts, you know, That's

0:40:13.640 --> 0:40:18.120
<v Speaker 1>all that's how a cool club starts, that's always bad news. Yeah, yeah,

0:40:18.160 --> 0:40:20.640
<v Speaker 1>cool clubs say, never talked to the cops again, which

0:40:20.640 --> 0:40:26.160
<v Speaker 1>cool clubs absolutely now. Molan New has been on YouTube

0:40:26.160 --> 0:40:29.239
<v Speaker 1>since forever, but his content has radicalized sharply over the years.

0:40:29.280 --> 0:40:32.080
<v Speaker 1>At the beginning, he identified as an anarcho capitalist, and

0:40:32.120 --> 0:40:35.520
<v Speaker 1>he mostly focused on his ideas about how everyone was

0:40:35.560 --> 0:40:37.880
<v Speaker 1>bad at being parents and people should cut ties with

0:40:37.920 --> 0:40:41.000
<v Speaker 1>toxic family members. In recent years, he's made bro, just

0:40:41.120 --> 0:40:44.080
<v Speaker 1>call your dad, call your dad. Bro, you probably need

0:40:44.080 --> 0:40:46.719
<v Speaker 1>to have a convo. Yeah, you guys, probably just talk

0:40:46.800 --> 0:40:50.120
<v Speaker 1>some feelings out. Maybe you'll calm the funk down. I

0:40:50.120 --> 0:40:52.359
<v Speaker 1>don't know, Like I don't want to say, like there's

0:40:52.400 --> 0:40:54.520
<v Speaker 1>actually are a lot of people with toxic family members,

0:40:54.520 --> 0:40:56.000
<v Speaker 1>so they do need to cut out of their lives,

0:40:56.000 --> 0:40:58.160
<v Speaker 1>which I think is part of why Molini was able

0:40:58.200 --> 0:41:00.279
<v Speaker 1>to get a following. Like there's not nothing in what

0:41:00.320 --> 0:41:02.040
<v Speaker 1>he's saying. There's a lot of people who have fucked

0:41:02.120 --> 0:41:04.799
<v Speaker 1>up family backgrounds and you get told like, well, you

0:41:04.840 --> 0:41:06.480
<v Speaker 1>just need to make things right with your mom, And

0:41:06.480 --> 0:41:10.040
<v Speaker 1>it's like, no, if if your mom like sent you

0:41:10.080 --> 0:41:13.560
<v Speaker 1>to gay conversion therapy, maybe cut all ties with her forever.

0:41:14.040 --> 0:41:16.040
<v Speaker 1>I totally agree. No, no, no, I'm not trying to

0:41:16.080 --> 0:41:18.400
<v Speaker 1>say that. What I'm trying to say is that he

0:41:18.560 --> 0:41:23.520
<v Speaker 1>himself uh to pursue a life where you tell people

0:41:23.560 --> 0:41:26.920
<v Speaker 1>to cut contact off with their family. You clearly have

0:41:27.040 --> 0:41:31.160
<v Speaker 1>unresolved issues with your family, and if you resolve those

0:41:31.239 --> 0:41:34.399
<v Speaker 1>by say, calling your parents and talking to them, I'm

0:41:34.440 --> 0:41:36.240
<v Speaker 1>not saying you have to make up with them. I'm saying,

0:41:36.280 --> 0:41:39.400
<v Speaker 1>somehow get closure for yourself so then you don't spend

0:41:39.440 --> 0:41:41.600
<v Speaker 1>the rest of your life trying to get people to

0:41:41.680 --> 0:41:48.160
<v Speaker 1>quit their families. Yeah, that's just like seems yeah, you

0:41:48.239 --> 0:41:51.960
<v Speaker 1>get some ship to deal with bro Um. But you know,

0:41:52.000 --> 0:41:56.239
<v Speaker 1>he Mollynew didn't stay on that sort of thing. Like,

0:41:56.760 --> 0:42:00.600
<v Speaker 1>he made a switch over to pretty hard core nationalism,

0:42:00.640 --> 0:42:03.080
<v Speaker 1>particularly in the last two years. There's like a video

0:42:03.120 --> 0:42:06.480
<v Speaker 1>of him where he's in um uh Poland during like

0:42:06.520 --> 0:42:10.520
<v Speaker 1>a far right march to commemorate like Poland's uh like

0:42:10.600 --> 0:42:14.400
<v Speaker 1>independence day, and he like said, like starts crying and

0:42:14.440 --> 0:42:16.640
<v Speaker 1>has like this big realization of how like I've been

0:42:16.680 --> 0:42:19.920
<v Speaker 1>against nationalism and stuff for years and I realized it

0:42:19.920 --> 0:42:22.560
<v Speaker 1>can really be beautiful and like the unseid things, like

0:42:22.600 --> 0:42:26.319
<v Speaker 1>I realized that white nationalism can be beautiful and that like, uh,

0:42:26.360 --> 0:42:30.120
<v Speaker 1>instead of you know, being an independent libertarian type, I'm

0:42:30.120 --> 0:42:33.360
<v Speaker 1>gonna focus on uh, fighting for my people, which is

0:42:33.400 --> 0:42:35.880
<v Speaker 1>like white people and stuff like that. That's how Stefan

0:42:35.960 --> 0:42:39.600
<v Speaker 1>Molineux is now. Like he's essentially a neo Nazi philosopher

0:42:39.640 --> 0:42:41.399
<v Speaker 1>at this point, and he spends most of his time

0:42:41.440 --> 0:42:44.680
<v Speaker 1>talking about race and i Q and you know, talking

0:42:44.719 --> 0:42:47.520
<v Speaker 1>about how black people are not as good as white people.

0:42:47.600 --> 0:42:51.800
<v Speaker 1>Like That's that's the thrust of modern day Stefal Stefon Molineux.

0:42:52.000 --> 0:42:54.600
<v Speaker 1>He also believes global warming as a hoax, So maybe

0:42:54.640 --> 0:42:58.200
<v Speaker 1>nobody should have much respect for Molineu's own i Q um,

0:42:58.239 --> 0:43:00.560
<v Speaker 1>but a lot of people get turned onto to Fawn's

0:43:00.880 --> 0:43:05.520
<v Speaker 1>straight up fascist propaganda because of their interest in Joe Rogan. Uh.

0:43:05.640 --> 0:43:08.120
<v Speaker 1>Rogan has had stefawn On as a guest several times,

0:43:08.120 --> 0:43:11.400
<v Speaker 1>and YouTube has decided that people who like Rogan should

0:43:11.400 --> 0:43:14.719
<v Speaker 1>have Stefens Channel recommended to them. This maybe why Mr

0:43:14.800 --> 0:43:17.719
<v Speaker 1>Kane saw Mollineu pop into his recommendations, which is what

0:43:17.800 --> 0:43:22.080
<v Speaker 1>he credits as radicalizing him in two thousand and fourteen. Um,

0:43:22.160 --> 0:43:25.759
<v Speaker 1>so yeah, he wound up watching like a lot of

0:43:25.800 --> 0:43:29.200
<v Speaker 1>members of what some people call the intellectual dark Web,

0:43:29.280 --> 0:43:32.759
<v Speaker 1>Joe Rogan, Dave Rubin, guys like Stephen Crowder and of

0:43:32.800 --> 0:43:37.719
<v Speaker 1>course Stefan Molineux uh and over time, like he went

0:43:37.920 --> 0:43:41.400
<v Speaker 1>further and further and further to the right, until eventually

0:43:41.440 --> 0:43:44.239
<v Speaker 1>he starts watching videos by Lauren Southern, who is a

0:43:44.320 --> 0:43:48.480
<v Speaker 1>Canadian activist who's essentially like he called her his fascist crushed,

0:43:48.880 --> 0:43:52.920
<v Speaker 1>like his fashy bay so like. By like two thousand sixteen,

0:43:53.440 --> 0:43:56.360
<v Speaker 1>this guy who starts watching Joe Rogan and like gets

0:43:56.360 --> 0:43:59.239
<v Speaker 1>turned in the Stefan Molinus videos about global warming as

0:43:59.239 --> 0:44:02.360
<v Speaker 1>a hoax and i Q and race. By two sixteen,

0:44:02.960 --> 0:44:07.840
<v Speaker 1>he's like identifying YouTube Nazi as his fascist like crush.

0:44:08.200 --> 0:44:10.879
<v Speaker 1>Like that's how this proceeds for this dude. And that's

0:44:10.880 --> 0:44:14.319
<v Speaker 1>a pretty standard path. But you know what's not a

0:44:14.360 --> 0:44:19.160
<v Speaker 1>standard path? No what the path that our listeners will

0:44:19.200 --> 0:44:22.600
<v Speaker 1>blaze if they buy the products and services that we

0:44:22.640 --> 0:44:27.359
<v Speaker 1>advertise on this program. You seem like your breath has

0:44:27.360 --> 0:44:32.840
<v Speaker 1>been taken away by these skill and ingenuity of that transition. Truly,

0:44:32.880 --> 0:44:35.440
<v Speaker 1>there was nothing I could add. It was a perfect,

0:44:35.680 --> 0:44:39.120
<v Speaker 1>perfect work. I'm the best at this, I'm the best around.

0:44:39.239 --> 0:44:41.880
<v Speaker 1>Nothing's going to ever keep me down. Yeah, I'm not

0:44:41.920 --> 0:44:44.399
<v Speaker 1>able to put a bumper sticker on a Rolls Royce.

0:44:44.600 --> 0:44:47.479
<v Speaker 1>You know what I'm saying. The bumper sticker is gonna

0:44:47.520 --> 0:44:53.920
<v Speaker 1>say I got my genitals molded. Yeah, I want that

0:44:53.960 --> 0:44:57.320
<v Speaker 1>bumper sticker. It's actually any hologram. And like, when you

0:44:57.360 --> 0:45:01.320
<v Speaker 1>look at it one way, I U wearing a skirt,

0:45:01.400 --> 0:45:02.799
<v Speaker 1>and when you look at it the other way, you

0:45:02.960 --> 0:45:06.840
<v Speaker 1>see my vagina mold. It's it's really cool. Man. That

0:45:07.080 --> 0:45:10.480
<v Speaker 1>put a lot of thought into into it. So that's

0:45:10.520 --> 0:45:13.520
<v Speaker 1>quite a bumper sticker. And you know, I have thought

0:45:13.560 --> 0:45:15.960
<v Speaker 1>for a long time that what traffic is missing is

0:45:16.120 --> 0:45:21.120
<v Speaker 1>explicitly pornographic bumper stickers. Like if truck nuts are okay,

0:45:21.120 --> 0:45:24.760
<v Speaker 1>why isn't that Seriously, it's actually a lot more pleasant

0:45:24.760 --> 0:45:27.760
<v Speaker 1>to look at than truck nuts. Yes, yes, nobody actually

0:45:27.800 --> 0:45:32.319
<v Speaker 1>likes truck nuts. Uh no one? All right, Well this

0:45:32.360 --> 0:45:44.600
<v Speaker 1>has been a long digression. Yeah, let's let's products we're back. Boy,

0:45:44.640 --> 0:45:50.399
<v Speaker 1>howdy what a day we've had today? M m so

0:45:51.040 --> 0:45:53.760
<v Speaker 1>at this point, YouTube's roll in radicalizing a whole generation

0:45:53.760 --> 0:45:57.719
<v Speaker 1>of fascists is very well documented, but YouTube is sort

0:45:57.760 --> 0:45:59.839
<v Speaker 1>of stuck when it comes to admitting that they've ever

0:46:00.040 --> 0:46:04.680
<v Speaker 1>done anything wrong. Of their traffic comes from the recommendation engine.

0:46:04.880 --> 0:46:08.000
<v Speaker 1>It is the single thing that drives the platform's profitability

0:46:08.040 --> 0:46:10.919
<v Speaker 1>more than anything else. Back in March, the New York

0:46:10.920 --> 0:46:15.360
<v Speaker 1>Times interviewed Neil Mohan, YouTube's chief product officer. His responses

0:46:15.400 --> 0:46:18.080
<v Speaker 1>were pretty characteristic of what the company says when confronted

0:46:18.120 --> 0:46:21.920
<v Speaker 1>about their little Nazi issue. The interviewer asked, I hear

0:46:21.960 --> 0:46:23.839
<v Speaker 1>a lot about the rabbit hole effect where you start

0:46:23.840 --> 0:46:26.400
<v Speaker 1>watching one video and you get nudged with recommendations towards

0:46:26.400 --> 0:46:28.480
<v Speaker 1>a slightly more extreme video and so on, and all

0:46:28.480 --> 0:46:30.880
<v Speaker 1>of a sudden you're watching something really extreme. Is that

0:46:30.920 --> 0:46:35.279
<v Speaker 1>a real phenomenon, to which Neil responded, Yeah, So I've

0:46:35.280 --> 0:46:36.960
<v Speaker 1>heard this before, and I think that there are some

0:46:37.040 --> 0:46:38.600
<v Speaker 1>myths that go into that description that I think it

0:46:38.600 --> 0:46:40.839
<v Speaker 1>would be useful for me to debunk. The first is

0:46:40.840 --> 0:46:42.600
<v Speaker 1>this notion that it's somehow in our interests for their

0:46:42.600 --> 0:46:45.120
<v Speaker 1>recommendations to shift people in this direction because it boost

0:46:45.200 --> 0:46:47.640
<v Speaker 1>watch time or what have you. I can say categorically

0:46:47.640 --> 0:46:50.359
<v Speaker 1>that's not the way our recommendation systems are designed. Watch

0:46:50.440 --> 0:46:52.320
<v Speaker 1>time is one signal that they use, but they have

0:46:52.360 --> 0:46:55.280
<v Speaker 1>a number of other engagement and satisfaction signals from the user.

0:46:55.480 --> 0:46:57.640
<v Speaker 1>It is not the case that extreme content drives a

0:46:57.680 --> 0:46:59.880
<v Speaker 1>higher version of engagement or watch time than content of

0:47:00.040 --> 0:47:03.919
<v Speaker 1>their types. So he basically has a blanket denial there.

0:47:04.239 --> 0:47:08.160
<v Speaker 1>Uh yeah, that's a huge just like blanket. Now, we

0:47:08.200 --> 0:47:12.160
<v Speaker 1>don't do that. No, that doesn't happen. Doesn't happen, And

0:47:12.239 --> 0:47:14.360
<v Speaker 1>he goes on it's a bit bit of a rambling answer,

0:47:14.400 --> 0:47:16.640
<v Speaker 1>and later in his answer, Mohan called the idea of

0:47:16.680 --> 0:47:20.560
<v Speaker 1>a YouTube radicalization rabbit hole purely a myth. The interviewer,

0:47:20.600 --> 0:47:23.080
<v Speaker 1>to his credit, presses Neil Mohan on this a bit

0:47:23.120 --> 0:47:25.560
<v Speaker 1>more later and asks if he's really sure he wants

0:47:25.600 --> 0:47:28.920
<v Speaker 1>to make that claim. Mohan responds, what I'm saying is

0:47:28.960 --> 0:47:30.600
<v Speaker 1>that when a video is watched, you will see a

0:47:30.680 --> 0:47:33.320
<v Speaker 1>number of videos that are recommended. Some of those videos

0:47:33.400 --> 0:47:35.719
<v Speaker 1>might have the perception of skewing in one direction or

0:47:35.760 --> 0:47:38.280
<v Speaker 1>you know, call it more extreme. There are other videos

0:47:38.280 --> 0:47:40.840
<v Speaker 1>that skew in the opposite direction. And again, our systems

0:47:40.840 --> 0:47:42.680
<v Speaker 1>are not doing this because that's not a signal that

0:47:42.680 --> 0:47:45.799
<v Speaker 1>feeds into the recommendations. That's just the observation that you

0:47:45.840 --> 0:47:47.960
<v Speaker 1>see in the panel. I'm not saying that a user

0:47:48.000 --> 0:47:49.839
<v Speaker 1>couldn't click on one of those videos that are quote

0:47:49.880 --> 0:47:52.600
<v Speaker 1>unquote more extreme, consume that, and then get another set

0:47:52.600 --> 0:47:54.640
<v Speaker 1>of recommendations that sort of keep moving in one path

0:47:54.760 --> 0:47:57.319
<v Speaker 1>or the other. All I'm saying is that it's not inevitable.

0:47:58.080 --> 0:48:01.320
<v Speaker 1>So because everybody doesn't choose to watch more extreme videos,

0:48:01.640 --> 0:48:04.759
<v Speaker 1>there's no YouTube radicalization rabbit hole. Yeah, and also it's

0:48:04.880 --> 0:48:07.920
<v Speaker 1>kind of acknowledging there that it does happen. Yeah, nothing

0:48:07.960 --> 0:48:11.360
<v Speaker 1>is inevitable. I mean except for like death and whatever.

0:48:11.480 --> 0:48:14.000
<v Speaker 1>You know, it's just to be like, yeah, yeah, no,

0:48:14.080 --> 0:48:16.759
<v Speaker 1>it's not. A meteor rite could hit your house before

0:48:16.800 --> 0:48:18.360
<v Speaker 1>you get to click on the video that turns you

0:48:18.400 --> 0:48:20.680
<v Speaker 1>into a Nazi, So of course it's not inevitable. Yeah,

0:48:20.960 --> 0:48:24.120
<v Speaker 1>just be like, it's not a hundred it's not true.

0:48:24.560 --> 0:48:27.319
<v Speaker 1>Is not a good answer when someone A percentage of

0:48:27.360 --> 0:48:31.120
<v Speaker 1>our users die of heart before the next video plays, Yeah,

0:48:31.400 --> 0:48:35.520
<v Speaker 1>pretty high percentage of people. Yeah, that's not what we're

0:48:35.560 --> 0:48:38.640
<v Speaker 1>asking Neil. Now. The reality, of course, is that Neil

0:48:38.719 --> 0:48:43.480
<v Speaker 1>Mohan is uh, shall we say not entirely honest. I

0:48:43.480 --> 0:48:45.760
<v Speaker 1>think I wrote a damn liar in the original draft,

0:48:45.800 --> 0:48:48.160
<v Speaker 1>but I'm not sure where the legally actionable line is.

0:48:49.080 --> 0:48:53.560
<v Speaker 1>Big video, Yeah, pocket of big big video. For just

0:48:53.640 --> 0:48:57.680
<v Speaker 1>one example, Jonathan Albright at Columbia University researcher recently carried

0:48:57.680 --> 0:48:59.719
<v Speaker 1>out a test where he seated a YouTube account with

0:48:59.719 --> 0:49:03.440
<v Speaker 1>a for the phrase crisis actor. The upnext recommendation led

0:49:03.520 --> 0:49:08.000
<v Speaker 1>him to nine thousand different videos promoting crisis actor conspiracy theories.

0:49:08.400 --> 0:49:10.640
<v Speaker 1>So again, someone who heard the term and wanted to

0:49:10.640 --> 0:49:13.600
<v Speaker 1>search for factual information about the conspiracy theory would be

0:49:13.640 --> 0:49:17.640
<v Speaker 1>directed by YouTube two hundreds of hours of conspiratorial nonsense

0:49:17.640 --> 0:49:21.040
<v Speaker 1>about how the Sandy Hook shooting was fake. Now, I'm

0:49:21.040 --> 0:49:23.480
<v Speaker 1>gonna guess you remember last year's mass shooting at the

0:49:23.520 --> 0:49:27.760
<v Speaker 1>Marjorie Stoneman Douglas High School. Um By the Wednesday after

0:49:27.800 --> 0:49:30.440
<v Speaker 1>that shooting, less than a week after all of those

0:49:30.520 --> 0:49:33.839
<v Speaker 1>kids died, the number one trending video on YouTube was

0:49:33.960 --> 0:49:37.200
<v Speaker 1>David Hogg the Actor, which is obviously a video accusing

0:49:38.000 --> 0:49:40.120
<v Speaker 1>one of the kids who's been most prominent of being

0:49:40.160 --> 0:49:43.200
<v Speaker 1>a crisis actor. According to a report from adage, it

0:49:43.280 --> 0:49:46.160
<v Speaker 1>and many others claimed to expose Hogg as a crisis actor.

0:49:46.239 --> 0:49:48.800
<v Speaker 1>YouTube eventually removed that particular video, but not before to

0:49:48.880 --> 0:49:52.000
<v Speaker 1>mass nearly two hundred thousand views. Other videos targeting hog

0:49:52.200 --> 0:49:54.920
<v Speaker 1>remain up. One that appears to show Hogg struggling with

0:49:55.000 --> 0:49:57.719
<v Speaker 1>his words during an interview after the shooting suggests because

0:49:57.760 --> 0:50:00.960
<v Speaker 1>he forgot his lines. YouTube autoso us certain search terms

0:50:01.000 --> 0:50:03.000
<v Speaker 1>that would lead people directly to the clips. If a

0:50:03.000 --> 0:50:06.040
<v Speaker 1>person typed David Hogg and YouTube search bar midday Wednesday,

0:50:06.040 --> 0:50:09.400
<v Speaker 1>for example, some of the suggestions would include exposed and

0:50:09.600 --> 0:50:13.839
<v Speaker 1>crisis actor. When reporters asked YouTube how that video made

0:50:13.840 --> 0:50:16.360
<v Speaker 1>it to the top of their coveted trending chart, YouTube

0:50:16.400 --> 0:50:19.320
<v Speaker 1>explained that since the video included edited clips from a

0:50:19.360 --> 0:50:22.200
<v Speaker 1>CNN report, it's algorithm had believed that it was a

0:50:22.280 --> 0:50:25.520
<v Speaker 1>legitimate piece of journalism and allowed it to spread as

0:50:25.560 --> 0:50:29.680
<v Speaker 1>an authoritative news report would. Um. So again, that's there.

0:50:29.760 --> 0:50:32.799
<v Speaker 1>That's there, like justification, Like we couldn't have known that

0:50:32.840 --> 0:50:35.719
<v Speaker 1>this was fake news because it was fake news that

0:50:36.000 --> 0:50:39.200
<v Speaker 1>used clips from a legitimate news site. So like we're

0:50:39.239 --> 0:50:41.040
<v Speaker 1>clearly not at fault here for the fact that we

0:50:41.120 --> 0:50:43.480
<v Speaker 1>let a robot select all these things and no human

0:50:43.480 --> 0:50:46.239
<v Speaker 1>being watched the top trending video on the side at

0:50:46.239 --> 0:50:50.120
<v Speaker 1>the moment to see if like it was something terrible. Um. Also,

0:50:50.239 --> 0:50:55.400
<v Speaker 1>that's bullshit. Yeah, yeah, that's total bullshit. Now YouTube's or

0:50:55.480 --> 0:50:58.120
<v Speaker 1>Nazi propaganda and conspiracy theories aren't the only things that

0:50:58.160 --> 0:51:01.800
<v Speaker 1>spread like wildfire on YouTube. Of course, pedophilia is also

0:51:01.840 --> 0:51:04.840
<v Speaker 1>a big thing on the site. Yeah. Yeah, this is

0:51:04.840 --> 0:51:06.719
<v Speaker 1>where we get to that part of the story. So

0:51:06.760 --> 0:51:09.719
<v Speaker 1>this broken February of twenty nineteen when a YouTuber named

0:51:09.719 --> 0:51:12.200
<v Speaker 1>Matt Watson put together a video exposing how rings of

0:51:12.200 --> 0:51:16.000
<v Speaker 1>pedophiles had infested the comments sections for various videos featuring

0:51:16.080 --> 0:51:20.880
<v Speaker 1>small children and used them to communicate and trade child porn. Now,

0:51:21.360 --> 0:51:24.160
<v Speaker 1>this report went very viral and immediately prompted several major

0:51:24.200 --> 0:51:27.160
<v Speaker 1>advertisers to pull their money from YouTube. The company released

0:51:27.160 --> 0:51:29.680
<v Speaker 1>a statement to their worried advertisers informing them that they

0:51:29.719 --> 0:51:32.640
<v Speaker 1>had blanket band comments for millions of videos, basically removing

0:51:32.640 --> 0:51:35.719
<v Speaker 1>comments from any videos uploaded by or about young children.

0:51:36.360 --> 0:51:38.799
<v Speaker 1>I'd like to quote from NPRS report on Watson's video,

0:51:39.719 --> 0:51:42.640
<v Speaker 1>Watson describes how he says the pedophile ring works. YouTube

0:51:42.680 --> 0:51:45.040
<v Speaker 1>visitors gather on videos of young girls doing innocuous things

0:51:45.040 --> 0:51:47.640
<v Speaker 1>such as putting on their makeup, demonstrating gymnastics moves, or

0:51:47.680 --> 0:51:50.319
<v Speaker 1>playing twister in the comments section. People would then post

0:51:50.400 --> 0:51:52.239
<v Speaker 1>time stamps that linked to frames in that video that

0:51:52.280 --> 0:51:56.240
<v Speaker 1>appeared to sexualize the children. YouTube's algorithms would then recommend

0:51:56.239 --> 0:51:59.200
<v Speaker 1>other videos also frequented by pedophiles. Once you enter into

0:51:59.200 --> 0:52:02.280
<v Speaker 1>this wormhole, there is now no other content available, Watson said.

0:52:03.200 --> 0:52:08.760
<v Speaker 1>So it might seem at first like this is purely

0:52:08.800 --> 0:52:12.600
<v Speaker 1>an accident on YouTube's part, like that cunning pedophiles figured

0:52:12.640 --> 0:52:15.160
<v Speaker 1>out that there were like they could just find videos

0:52:15.160 --> 0:52:18.120
<v Speaker 1>of young kids doing handstands and stuff and use that

0:52:18.160 --> 0:52:20.319
<v Speaker 1>as porn and trade it with each other, right, which

0:52:20.320 --> 0:52:23.359
<v Speaker 1>would not necessarily be like, how could we have predicted this?

0:52:23.440 --> 0:52:25.880
<v Speaker 1>It's just these people decided to use innocent videos for

0:52:25.920 --> 0:52:30.279
<v Speaker 1>a nefarious purpose. But that's not what happened, or at

0:52:30.320 --> 0:52:35.080
<v Speaker 1>least that's not all of what happened. So in June

0:52:35.320 --> 0:52:38.560
<v Speaker 1>three researchers from Harvard's Berkmann Client Center for Internet and

0:52:38.600 --> 0:52:44.279
<v Speaker 1>Society started combing through YouTube's recommendations for sexually themed videos. Uh.

0:52:44.320 --> 0:52:46.680
<v Speaker 1>They found that starting down this rabbit hole led them

0:52:46.680 --> 0:52:50.600
<v Speaker 1>inevitably to sexual videos that placed greater emphasis on youth.

0:52:51.280 --> 0:52:54.680
<v Speaker 1>So again, that's maybe not super surprising. You start looking

0:52:54.680 --> 0:52:57.440
<v Speaker 1>for sexy videos, you you click on one, and then

0:52:57.480 --> 0:52:59.880
<v Speaker 1>the next video the woman in it or is going

0:52:59.920 --> 0:53:01.759
<v Speaker 1>to be a younger woman, and a younger woman, and

0:53:01.800 --> 0:53:04.759
<v Speaker 1>a younger woman. But then at a certain point, the

0:53:04.880 --> 0:53:08.120
<v Speaker 1>video suggested flipped very suddenly until and I'm going to

0:53:08.200 --> 0:53:11.960
<v Speaker 1>quote the researchers here, YouTube would suddenly begin recommending videos

0:53:12.000 --> 0:53:18.839
<v Speaker 1>of young and partially clothed children. So YouTube would take

0:53:18.880 --> 0:53:22.160
<v Speaker 1>a person who's like just looking for adults like videos

0:53:22.200 --> 0:53:25.000
<v Speaker 1>of like an exact dancer dancing or whatever, like videos

0:53:25.040 --> 0:53:28.799
<v Speaker 1>of attractive young women dancing, and then YouTube would start

0:53:28.840 --> 0:53:32.200
<v Speaker 1>showing them videos of children doing like gymnastics routines and

0:53:32.239 --> 0:53:36.080
<v Speaker 1>stuff like that's the algorithm being like, I bet you'll

0:53:36.120 --> 0:53:39.279
<v Speaker 1>like child porn. Like that's literally what's happening here, which

0:53:39.280 --> 0:53:42.800
<v Speaker 1>I didn't realize when I first heard the story that like,

0:53:42.800 --> 0:53:46.759
<v Speaker 1>like that's YouTube. That's not just pedophiles using YouTube in

0:53:46.800 --> 0:53:49.040
<v Speaker 1>a sleazy way, because pedophiles will always find a way

0:53:49.040 --> 0:53:54.960
<v Speaker 1>to ruin anything that's YouTube crafting new pedophiles. Yeah, it's

0:53:54.960 --> 0:53:59.799
<v Speaker 1>a system, that's Yeah. I wonder if it's like that

0:53:59.840 --> 0:54:02.279
<v Speaker 1>with violence too, if you look up a violent thing,

0:54:02.400 --> 0:54:06.040
<v Speaker 1>if it keeps recommending more violence, because that seems like

0:54:06.080 --> 0:54:08.800
<v Speaker 1>and hate like that would happen when I worked for Google,

0:54:08.840 --> 0:54:17.640
<v Speaker 1>Like the sensitive categories. The restricted categories are you know, violence, hate, gambling, porn, childhorn.

0:54:18.680 --> 0:54:20.719
<v Speaker 1>I think there's even a messed up thing about that,

0:54:20.840 --> 0:54:23.680
<v Speaker 1>because one of the problems that like, people who document

0:54:23.719 --> 0:54:26.640
<v Speaker 1>war crimes in Syria have had is YouTube blanket banning

0:54:26.640 --> 0:54:29.480
<v Speaker 1>their videos because of violence, and then like you have

0:54:29.560 --> 0:54:32.040
<v Speaker 1>evidence of a war crime and then it's wiped off

0:54:32.080 --> 0:54:35.520
<v Speaker 1>of the Internet forever because YouTube doesn't realize that this

0:54:35.600 --> 0:54:38.240
<v Speaker 1>isn't like violence porn, this is somebody trying to document

0:54:38.280 --> 0:54:42.520
<v Speaker 1>a war crime. Um. It's made it really hard to

0:54:42.600 --> 0:54:46.800
<v Speaker 1>do that kind of research. It's yeah, their response is

0:54:46.840 --> 0:54:51.400
<v Speaker 1>always so terrible. Um. Anyway, The New York Times reported quote, So,

0:54:51.440 --> 0:54:54.040
<v Speaker 1>a user who watches erotic videos might be recommended videos

0:54:54.040 --> 0:54:56.600
<v Speaker 1>of women who becomes conspicuously younger, and then women who

0:54:56.640 --> 0:55:00.319
<v Speaker 1>promote provocatively in children's clothes. Eventually, some user might be

0:55:00.320 --> 0:55:02.239
<v Speaker 1>presented with videos of girls as young as five or

0:55:02.239 --> 0:55:04.840
<v Speaker 1>six wearing bathing suits, are getting dressed or doing a split.

0:55:05.920 --> 0:55:08.759
<v Speaker 1>So yeah, and its eternal quest to increase time spent

0:55:08.840 --> 0:55:13.839
<v Speaker 1>on site, YouTube's algorithm essentially radicalized people towards pedophilia. And

0:55:13.880 --> 0:55:18.560
<v Speaker 1>to make matters worse, it wasn't just picking sexy videos

0:55:18.560 --> 0:55:20.880
<v Speaker 1>like that people had uploaded with the intent of them

0:55:20.920 --> 0:55:24.880
<v Speaker 1>being sexy. Because it was sending children's videos to people,

0:55:25.200 --> 0:55:28.880
<v Speaker 1>it started grabbing totally normal home videos of little kids

0:55:29.239 --> 0:55:32.000
<v Speaker 1>and presenting those videos to horny adults who were on

0:55:32.040 --> 0:55:35.960
<v Speaker 1>YouTube to masturbate. The report suggests it was learning from

0:55:36.080 --> 0:55:39.280
<v Speaker 1>users who sought out revealing or suggestive images of children.

0:55:39.760 --> 0:55:42.440
<v Speaker 1>One parent The Times talked with related in horror that

0:55:42.480 --> 0:55:44.279
<v Speaker 1>a video of her ten year old girl wearing a

0:55:44.320 --> 0:55:48.200
<v Speaker 1>bathing suit had reached four hundred thousand views. So, like,

0:55:48.280 --> 0:55:51.520
<v Speaker 1>parents start to realize, like, wait, an I uploaded this

0:55:51.600 --> 0:55:53.719
<v Speaker 1>video to show her grandma. They're supposed to be like

0:55:53.800 --> 0:55:56.600
<v Speaker 1>nine views on this thing. Why have four hundred thousand

0:55:56.640 --> 0:55:59.279
<v Speaker 1>people watched this video of my ten year old? And

0:55:59.280 --> 0:56:02.160
<v Speaker 1>it's because you tube is trying to provide people with

0:56:02.200 --> 0:56:03.840
<v Speaker 1>porn because it knows that will keep them on the

0:56:03.840 --> 0:56:09.839
<v Speaker 1>site longer. That's fucking wild. Yeah. After this report came out,

0:56:09.880 --> 0:56:13.960
<v Speaker 1>YouTube published an apologetic blog post, promising that responsibility is

0:56:13.960 --> 0:56:16.960
<v Speaker 1>our number one priority. In chief among our areas of

0:56:17.000 --> 0:56:21.040
<v Speaker 1>focus is protecting miners and families. But of course that's

0:56:21.040 --> 0:56:23.720
<v Speaker 1>not true. Increasing the amount of time spent on site

0:56:23.800 --> 0:56:27.400
<v Speaker 1>is YouTube's chief priority, or rather, making money is YouTube's

0:56:27.440 --> 0:56:29.719
<v Speaker 1>chief priority, and if increasing the amount of time spent

0:56:29.760 --> 0:56:31.640
<v Speaker 1>on site is the best way to make money, the

0:56:31.680 --> 0:56:35.800
<v Speaker 1>YouTube will prioritize that overall other things, including the safety

0:56:35.880 --> 0:56:39.840
<v Speaker 1>of children. Now, there are ways YouTube could reduce the

0:56:39.920 --> 0:56:42.719
<v Speaker 1>danger their sites present to the world. Ways they could

0:56:42.760 --> 0:56:45.560
<v Speaker 1>catch stuff like propaganda accusing a mass shooting victim of

0:56:45.560 --> 0:56:48.040
<v Speaker 1>being an actor, or people's home movies of being accidentally

0:56:48.040 --> 0:56:50.560
<v Speaker 1>turned into child porn. Even if they're not going to

0:56:50.600 --> 0:56:55.000
<v Speaker 1>stop hosting literal, fascist propaganda. Content moderators could add human

0:56:55.040 --> 0:56:57.840
<v Speaker 1>eyes and human oversight to an AI algorithm that is

0:56:57.880 --> 0:57:02.160
<v Speaker 1>clearly sociopathic. And earlier this year, YouTube did announce that

0:57:02.160 --> 0:57:05.760
<v Speaker 1>they were expanding their content moderator team to ten thousand people,

0:57:06.040 --> 0:57:08.600
<v Speaker 1>which sounds great. Sounds like a huge number of people,

0:57:09.000 --> 0:57:11.479
<v Speaker 1>Only that's not as good as it seems. The Wall

0:57:11.480 --> 0:57:14.120
<v Speaker 1>Street Journal investigated and found out that a huge number

0:57:14.160 --> 0:57:17.680
<v Speaker 1>of these moderators, perhaps the majority, worked in cubical farms

0:57:17.680 --> 0:57:20.120
<v Speaker 1>and India and the Philippines, which would be fine if

0:57:20.160 --> 0:57:23.640
<v Speaker 1>they were moderating content posted from India or the Philippines,

0:57:23.920 --> 0:57:25.680
<v Speaker 1>but of course these people were also going to be

0:57:25.720 --> 0:57:31.680
<v Speaker 1>tasked with monitoring American political content now alphabet. Google does

0:57:31.680 --> 0:57:36.000
<v Speaker 1>not disclose how much money YouTube makes. Estimates suggest that

0:57:36.040 --> 0:57:38.720
<v Speaker 1>it's around ten billion dollars a year and maybe increasing

0:57:38.760 --> 0:57:42.000
<v Speaker 1>by as much as forty per year. Math is not

0:57:42.080 --> 0:57:44.560
<v Speaker 1>my strong suit. I'm not an algorithm, but I did

0:57:45.160 --> 0:57:47.440
<v Speaker 1>a little bit of math, and I calculated that if

0:57:47.480 --> 0:57:50.720
<v Speaker 1>Google took a billion dollars of their profit and hired

0:57:50.720 --> 0:57:54.440
<v Speaker 1>new content moderators paying them fifty thou dollar a year salaries,

0:57:54.440 --> 0:57:55.840
<v Speaker 1>which I meant to guess is more than most of

0:57:55.840 --> 0:57:59.080
<v Speaker 1>these moderators get, they could afford to hire twenty thousand

0:57:59.160 --> 0:58:03.760
<v Speaker 1>new moderators, tripling their current capacity. Realistically, they could hire

0:58:03.800 --> 0:58:06.680
<v Speaker 1>fifty or sixty thousand more moderators and still be making

0:58:06.720 --> 0:58:08.680
<v Speaker 1>billions of dollars a year and one of the most

0:58:08.680 --> 0:58:12.160
<v Speaker 1>profitable services on the Internet. But doing that would mean

0:58:12.240 --> 0:58:15.320
<v Speaker 1>less profit for Google shareholders. It would mean less money

0:58:15.400 --> 0:58:17.520
<v Speaker 1>for people like Neil Mohan, the man who has been

0:58:17.600 --> 0:58:20.640
<v Speaker 1>YouTube's chief product officers since two thousand eleven, the man

0:58:20.680 --> 0:58:23.160
<v Speaker 1>who was overseen nearly all the algorithmic changes we are

0:58:23.160 --> 0:58:25.640
<v Speaker 1>talking about today, The man who sat down with The

0:58:25.640 --> 0:58:28.000
<v Speaker 1>New York Times and denied YouTube had a problem with

0:58:28.080 --> 0:58:31.640
<v Speaker 1>leading people down rabbit holes that radicalize them in dangerous ways.

0:58:32.320 --> 0:58:35.240
<v Speaker 1>I was kind of curious as to how well compensated

0:58:35.320 --> 0:58:39.080
<v Speaker 1>Mr Mohan is, so I googled Neil Mohan net worth.

0:58:39.520 --> 0:58:42.920
<v Speaker 1>The first response was a Business Insider article. Google paid

0:58:42.960 --> 0:58:46.960
<v Speaker 1>this man a hundred million dollars. Here's his story. So

0:58:47.040 --> 0:58:51.240
<v Speaker 1>that's cool. Yeah, ooof, And I can tell you from

0:58:51.280 --> 0:58:55.400
<v Speaker 1>being a moderator, Um, I worked on a team where

0:58:55.400 --> 0:58:57.600
<v Speaker 1>everybody did what I did in a different language. So

0:58:57.640 --> 0:58:59.520
<v Speaker 1>I did this in Russian and next to me with

0:58:59.560 --> 0:59:03.160
<v Speaker 1>someone who doing it in Chinese and Turkish and all

0:59:03.160 --> 0:59:06.160
<v Speaker 1>the all of the languages, I mean not all, but

0:59:06.680 --> 0:59:09.880
<v Speaker 1>a significant number. Yeah, and um, I can tell you

0:59:09.920 --> 0:59:14.520
<v Speaker 1>that we were hired as contractors for only a year.

0:59:14.880 --> 0:59:17.400
<v Speaker 1>Very rarely would you ever be doing a second year

0:59:17.440 --> 0:59:20.120
<v Speaker 1>because they didn't want to pay you with the full benefits,

0:59:21.000 --> 0:59:24.440
<v Speaker 1>like you know, you don't get health insurance and whatever,

0:59:24.520 --> 0:59:26.440
<v Speaker 1>all the perks that you would get from being a

0:59:26.480 --> 0:59:29.200
<v Speaker 1>full time Google employee. And the thing about what we

0:59:29.240 --> 0:59:31.640
<v Speaker 1>did is you got exposed to a lot of fucked

0:59:31.720 --> 0:59:35.680
<v Speaker 1>up stuff, Like you know, the videos and stuff that

0:59:35.720 --> 0:59:38.000
<v Speaker 1>I've seen are like some of the worst the internet

0:59:38.040 --> 0:59:41.320
<v Speaker 1>has to offer, like beheadings or someone stomping a kitten

0:59:41.360 --> 0:59:44.680
<v Speaker 1>to death and high heels like crazy shit, and it

0:59:44.720 --> 0:59:46.720
<v Speaker 1>would really make you sick. And they like give you

0:59:46.760 --> 0:59:49.000
<v Speaker 1>free food at Google, and you like wouldn't be able

0:59:49.000 --> 0:59:51.360
<v Speaker 1>to eat sometimes because you would be so grossed out.

0:59:51.640 --> 0:59:54.240
<v Speaker 1>And it's not like they that's why you're only there

0:59:54.240 --> 0:59:56.800
<v Speaker 1>for a year. Also, not just that you wouldn't be

0:59:56.840 --> 1:00:00.240
<v Speaker 1>able to get full benefits, but also because they are

1:00:00.320 --> 1:00:04.800
<v Speaker 1>okay with wasting your mental and physical energies and then

1:00:04.920 --> 1:00:07.720
<v Speaker 1>letting you go and then just cycling through new people

1:00:07.840 --> 1:00:12.200
<v Speaker 1>every year because um, rather than investing you know, and

1:00:12.320 --> 1:00:16.240
<v Speaker 1>employees that are full time making sure they have uh,

1:00:17.240 --> 1:00:21.360
<v Speaker 1>you know, access to mental health care and stuff like that,

1:00:22.000 --> 1:00:26.520
<v Speaker 1>and um, you know, making that job be something that

1:00:26.560 --> 1:00:30.800
<v Speaker 1>they take more seriously considering how important it is. Well,

1:00:30.840 --> 1:00:33.200
<v Speaker 1>and that's part of what's really messed up is that

1:00:33.240 --> 1:00:36.080
<v Speaker 1>like it's fucking Google. Like if you go into the

1:00:36.080 --> 1:00:39.760
<v Speaker 1>people people who are like actually coding these algorithms and stuff,

1:00:39.920 --> 1:00:42.680
<v Speaker 1>I guarantee you those people have on site therapists, they

1:00:42.720 --> 1:00:46.000
<v Speaker 1>can visit, they have gyms at work, they get their lunches.

1:00:46.200 --> 1:00:48.720
<v Speaker 1>I mean we all worked on the same building, but

1:00:48.800 --> 1:00:50.720
<v Speaker 1>like I can't you know, I couldn't go get a

1:00:50.760 --> 1:00:53.760
<v Speaker 1>free massage during It's like, you know, you have a

1:00:53.800 --> 1:00:56.760
<v Speaker 1>CrossFit trainer on site and ship like that for sure

1:00:56.760 --> 1:00:59.600
<v Speaker 1>you get incredible perks. And the whole point is what

1:00:59.760 --> 1:01:01.760
<v Speaker 1>I that was kind of ironic about what we were saying,

1:01:01.840 --> 1:01:04.200
<v Speaker 1>is like the whole thing is to try to make

1:01:04.240 --> 1:01:07.920
<v Speaker 1>you stay on YouTube. But when you work for company

1:01:07.960 --> 1:01:09.680
<v Speaker 1>like Google, their job is to try to make you

1:01:09.720 --> 1:01:13.120
<v Speaker 1>stay at Google. So you know, the reason you're getting

1:01:13.120 --> 1:01:16.560
<v Speaker 1>all these benefits and stuff and like free food and

1:01:17.040 --> 1:01:19.440
<v Speaker 1>jim and massage and whatever is because they want you

1:01:19.480 --> 1:01:23.080
<v Speaker 1>to stay and work forever. But they don't want you

1:01:23.480 --> 1:01:28.120
<v Speaker 1>like that stuff to me exactly like and that's that's

1:01:28.120 --> 1:01:30.760
<v Speaker 1>a very telling thing from Google's perspective, because they are

1:01:30.760 --> 1:01:33.320
<v Speaker 1>saying that increasing the amount of the people who are

1:01:33.320 --> 1:01:35.840
<v Speaker 1>coding these algorithms that increase the amount of time people

1:01:35.840 --> 1:01:38.520
<v Speaker 1>spend on site, that is important to us. And so

1:01:38.560 --> 1:01:40.880
<v Speaker 1>we will do whatever it takes to retain these people.

1:01:41.280 --> 1:01:44.640
<v Speaker 1>But the people who make sure that we aren't creating

1:01:44.720 --> 1:01:47.280
<v Speaker 1>new pedophiles while we make money, the people who are

1:01:47.280 --> 1:01:51.120
<v Speaker 1>responsible for making sure that Nazi propaganda isn't served up

1:01:51.160 --> 1:01:55.480
<v Speaker 1>to like influence able young children via our service. Those

1:01:55.520 --> 1:01:58.520
<v Speaker 1>people aren't valuable to us because we don't care about that,

1:01:58.760 --> 1:02:02.120
<v Speaker 1>so we're not going to offer them healthcare. Like if

1:02:02.160 --> 1:02:04.520
<v Speaker 1>if if Google really was an ethical company, and if

1:02:04.560 --> 1:02:07.800
<v Speaker 1>YouTube cared about its impact on the world, someone whose

1:02:07.920 --> 1:02:11.520
<v Speaker 1>job who's there's nothing less technical or less valuable about

1:02:11.800 --> 1:02:14.920
<v Speaker 1>what you're doing. Being able to speak another language fluently,

1:02:15.000 --> 1:02:18.200
<v Speaker 1>being able to understand if content propagating on their site

1:02:18.800 --> 1:02:21.640
<v Speaker 1>uh is toxic or not. That's a very difficult, very

1:02:21.640 --> 1:02:26.040
<v Speaker 1>technical task. If they cared about the impact they had

1:02:26.080 --> 1:02:28.440
<v Speaker 1>on the world, the people doing that job would be

1:02:28.440 --> 1:02:31.080
<v Speaker 1>well paid and would have benefits and would be seen

1:02:31.160 --> 1:02:34.440
<v Speaker 1>as a crucial aspect of the company. But instead it's

1:02:34.480 --> 1:02:36.880
<v Speaker 1>sort of like, if we don't have someone doing this job,

1:02:36.920 --> 1:02:38.840
<v Speaker 1>will get yelled at. So we're going to do the

1:02:38.920 --> 1:02:41.520
<v Speaker 1>minimum necessary and we're going to have most of the

1:02:41.520 --> 1:02:44.160
<v Speaker 1>people doing that job be working at a fucking cube

1:02:44.160 --> 1:02:47.920
<v Speaker 1>farm in India, even though we're expecting them to moderate

1:02:47.960 --> 1:02:50.720
<v Speaker 1>American content and to understand all of our cultural nuances

1:02:50.720 --> 1:02:55.080
<v Speaker 1>and whether or not something's toxic, Like that's so fucked up.

1:02:55.400 --> 1:03:01.280
<v Speaker 1>And also considering the fact that like add is the

1:03:01.440 --> 1:03:06.040
<v Speaker 1>reason that they hire content moderators, not because they care

1:03:06.080 --> 1:03:09.320
<v Speaker 1>about the content necessarily. It's that it would be a

1:03:09.400 --> 1:03:14.320
<v Speaker 1>huge like mistake if say, an ad for Huggies was

1:03:14.400 --> 1:03:18.280
<v Speaker 1>served on a diaper fetish website. You know, they want

1:03:18.800 --> 1:03:22.880
<v Speaker 1>something in place where the page knows, the algorithm knows

1:03:22.960 --> 1:03:25.200
<v Speaker 1>not to serve that, even though it seems like a

1:03:25.200 --> 1:03:27.840
<v Speaker 1>good match because the word diapers repeated and blah blah blah,

1:03:27.880 --> 1:03:30.120
<v Speaker 1>you know what I mean. So it's really less about

1:03:30.320 --> 1:03:34.360
<v Speaker 1>it's it's more about keeping the advertisers happy and making

1:03:34.400 --> 1:03:39.160
<v Speaker 1>the most money than it is about, yeah, ensuring that

1:03:39.200 --> 1:03:43.680
<v Speaker 1>there Internet is this less fucked up place. This gets

1:03:44.280 --> 1:03:45.560
<v Speaker 1>to one of the things like when I when I

1:03:45.560 --> 1:03:48.240
<v Speaker 1>get in arguments with people about the nature of capitalism

1:03:48.320 --> 1:03:50.520
<v Speaker 1>and what's what's what's wrong with the kind of capitalism

1:03:50.560 --> 1:03:52.920
<v Speaker 1>that we have in this country. I think a lot

1:03:52.920 --> 1:03:56.920
<v Speaker 1>of people who like just sort of reject anti capitalist

1:03:57.040 --> 1:03:59.800
<v Speaker 1>arguments out of hand do it because they think that

1:03:59.840 --> 1:04:01.959
<v Speaker 1>you're saying, oh, it's just wrong to make to make money.

1:04:02.040 --> 1:04:04.520
<v Speaker 1>It's wrong to have a business that like makes a profit.

1:04:04.600 --> 1:04:07.880
<v Speaker 1>Is like the issue, isn't that the issue? Like this

1:04:07.920 --> 1:04:12.120
<v Speaker 1>company Google could be making billions of dollars a year,

1:04:12.920 --> 1:04:15.240
<v Speaker 1>uh and still be one of the most profitable sites

1:04:15.400 --> 1:04:18.320
<v Speaker 1>in in it's of its type still make a huge

1:04:18.320 --> 1:04:20.920
<v Speaker 1>amount of money and have three times as many people

1:04:21.640 --> 1:04:24.240
<v Speaker 1>doing content moderation, and all those people have health care.

1:04:24.840 --> 1:04:28.240
<v Speaker 1>But by cutting corners on that part of it, because

1:04:28.240 --> 1:04:30.360
<v Speaker 1>it doesn't make them more money, it just makes the

1:04:30.360 --> 1:04:33.760
<v Speaker 1>world better. They make more money, and it's worth more

1:04:33.800 --> 1:04:37.400
<v Speaker 1>to them to increase the value of a few hundred

1:04:37.440 --> 1:04:40.600
<v Speaker 1>people stock than to ensure that there aren't thousands of

1:04:40.640 --> 1:04:44.760
<v Speaker 1>additional people masturbating to children like that. That's that's what

1:04:44.920 --> 1:04:47.520
<v Speaker 1>I have an issue with with capitalism, Like, that's that's

1:04:47.520 --> 1:04:50.840
<v Speaker 1>a you can make a profit without also selling your

1:04:50.840 --> 1:04:55.880
<v Speaker 1>fucking soul. Yeah, we could have YouTube should be banned,

1:04:56.120 --> 1:05:00.520
<v Speaker 1>like I can get recommended new musicians that I like.

1:05:01.560 --> 1:05:05.439
<v Speaker 1>We can all watch videos to masturbate too, without more

1:05:05.480 --> 1:05:08.400
<v Speaker 1>people being turned toto pedophiles and Nazis. That's not a

1:05:08.480 --> 1:05:11.800
<v Speaker 1>necessary part of this, Like it's just because corners are

1:05:11.800 --> 1:05:15.960
<v Speaker 1>being cut. Yeah, it just shows what the value what

1:05:16.120 --> 1:05:19.360
<v Speaker 1>the value of our society is, what the values of

1:05:19.360 --> 1:05:22.720
<v Speaker 1>our society are. Yeah, it's they've literally said, like three

1:05:22.720 --> 1:05:25.439
<v Speaker 1>billion dollars a year is worth more to us than

1:05:26.800 --> 1:05:30.360
<v Speaker 1>god knows how many children being molested than fucking Heather

1:05:30.480 --> 1:05:34.920
<v Speaker 1>higher getting run down at Charlottesville than they're being Nazis

1:05:34.960 --> 1:05:38.600
<v Speaker 1>marching through the streets and advocating the extermination of black people,

1:05:38.640 --> 1:05:41.760
<v Speaker 1>of LGBT, people of whatever like, which is again part

1:05:41.760 --> 1:05:44.400
<v Speaker 1>of why so many Google employees are now speaking out

1:05:44.400 --> 1:05:46.720
<v Speaker 1>and horrified because like, they're not monsters. They don't want

1:05:46.760 --> 1:05:48.400
<v Speaker 1>to live in this world anymore than the rest of

1:05:48.480 --> 1:05:51.040
<v Speaker 1>us do. They just didn't realize what was happening because

1:05:51.040 --> 1:05:54.120
<v Speaker 1>they were busy focusing on the code and the free massages,

1:05:54.640 --> 1:05:56.320
<v Speaker 1>and then, like the rest of us, they woke up

1:05:56.360 --> 1:06:05.280
<v Speaker 1>to a world full of Nazis and pedophiles. Uh. Yeah,

1:06:05.320 --> 1:06:07.520
<v Speaker 1>I feel like you're looking at me to make a

1:06:07.600 --> 1:06:10.320
<v Speaker 1>joke now, and I feel like I don't know, this

1:06:10.440 --> 1:06:16.040
<v Speaker 1>got real serious. I'm more just tired. We're all tired.

1:06:17.280 --> 1:06:22.640
<v Speaker 1>It's a it's a very tiring world we live in. Yeah, well,

1:06:22.680 --> 1:06:28.120
<v Speaker 1>Sophia that you want to plug your plug? Fuck? I

1:06:28.160 --> 1:06:30.440
<v Speaker 1>mean not really just want everyone to go and get

1:06:30.480 --> 1:06:34.800
<v Speaker 1>a hug. You know, everybody go get a hug, but Jesus, Yeah,

1:06:34.920 --> 1:06:40.240
<v Speaker 1>but also, uh, I am to be found on the

1:06:40.280 --> 1:06:43.920
<v Speaker 1>sites we hate, you know, what a fun thing to plug.

1:06:44.240 --> 1:06:53.600
<v Speaker 1>I'm available Twitter and Instagram. That's Sophia and I have

1:06:53.640 --> 1:06:56.120
<v Speaker 1>a podcast about love and sexuality around the world that

1:06:56.200 --> 1:06:59.360
<v Speaker 1>I co host with Courtney Kosak. It's called Private Parts Unknown.

1:07:00.120 --> 1:07:05.160
<v Speaker 1>Check that out. Check out Private Parts Unknown. I'm also

1:07:05.240 --> 1:07:09.360
<v Speaker 1>on the sites we hate. Behind the Bastards dot com

1:07:09.440 --> 1:07:10.760
<v Speaker 1>is not a site that we hate, but it's where

1:07:10.800 --> 1:07:13.920
<v Speaker 1>you can find the sources for this episode. Um, I right, okay,

1:07:14.000 --> 1:07:15.400
<v Speaker 1>is where you can find me on Twitter. You can

1:07:15.400 --> 1:07:20.360
<v Speaker 1>find us on Twitter and Instagram at bastards pod. Um,

1:07:20.400 --> 1:07:23.360
<v Speaker 1>that's the You buy t shirts on t public dot com.

1:07:23.400 --> 1:07:31.040
<v Speaker 1>Behind the Bastards. Uh, yep, that's the episode. Go uh go,

1:07:31.040 --> 1:07:33.920
<v Speaker 1>go find YouTube's headquarters and yell at them, scream at

1:07:33.960 --> 1:07:37.520
<v Speaker 1>their sign, take pictures of their company, and wave your fists. Uh.

1:07:39.080 --> 1:07:44.640
<v Speaker 1>If you work at YouTube, quit it's not worth it.

1:07:44.800 --> 1:07:48.040
<v Speaker 1>I mean, the more whistleblowers the better. Yeah. Yeah, quit

1:07:48.120 --> 1:07:50.280
<v Speaker 1>and go talk to the New York Times or some

1:07:50.280 --> 1:07:56.000
<v Speaker 1>some fucking buddy. Uh yeah. Also, um, one random thing

1:07:56.040 --> 1:07:58.280
<v Speaker 1>that's positive is if you want there's a lot of

1:07:58.360 --> 1:08:01.800
<v Speaker 1>videos of trains on YouTube. Have discovered of just trains

1:08:01.840 --> 1:08:06.320
<v Speaker 1>passing by trains and fails. Yeah. I think you will

1:08:06.360 --> 1:08:08.760
<v Speaker 1>find it very soothing. First, they'll be like, what the

1:08:08.760 --> 1:08:11.280
<v Speaker 1>funk a video of a train that's twelve minutes long.

1:08:11.640 --> 1:08:15.800
<v Speaker 1>Guess what that will soothe you? Soothe your ass, or

1:08:15.840 --> 1:08:18.519
<v Speaker 1>if you're more like me, watch videos of people skiing

1:08:18.920 --> 1:08:21.479
<v Speaker 1>and then failing to ski. I mean that's if you

1:08:21.479 --> 1:08:28.519
<v Speaker 1>want to laugh. Yeah, yeah, I feel like YouTube's algorithm

1:08:28.600 --> 1:08:30.559
<v Speaker 1>is going to take you from train videos to train

1:08:30.640 --> 1:08:36.040
<v Speaker 1>fails really fast. Um oh boy, yeah ship. I don't

1:08:36.040 --> 1:08:40.240
<v Speaker 1>know now that, now that I know about the the

1:08:40.360 --> 1:08:43.040
<v Speaker 1>rabbit hole, I'm afraid that there's a way to connect

1:08:43.120 --> 1:08:46.800
<v Speaker 1>trains to children that I have not thought. Oh no,

1:08:47.040 --> 1:08:49.360
<v Speaker 1>I'm not even gonna make any further comments. We should

1:08:49.360 --> 1:08:51.519
<v Speaker 1>get before this gets to a spot