Latest / Honey Badger Radio / UN Women: “Big Sister is watching you” | HBR Talk 370

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UN Women: “Big Sister is watching you” | HBR Talk 370 · Honey Badger Radio

• 0:00
  Speaker 1: Hello, and welcome to HBr Talk three sixty nine. I
• 0:05
  Speaker 1: think I've got that right. If not, somebody will tell
• 0:08
  Speaker 1: me Big Sister is watching you. I'm your host, Hannah
• 0:12
  Speaker 1: Wallen here with nonsense annihilator Lauren Brooks. We don't have
• 0:16
  Speaker 1: Mike tonight because he has been traveling and there's just
• 0:21
  Speaker 1: only so much you can do in a day, but
• 0:23
  Speaker 1: we do have the doge in charge of the background
• 0:25
  Speaker 1: helping to make everything work properly, and so thanks Brian
• 0:30
  Speaker 1: for that, and tonight we're still looking and sorry, guys,
• 0:35
  Speaker 1: still looking into you and women's complaints against activists who
• 0:38
  Speaker 1: support things like due process and uh, you know, boys
• 0:44
  Speaker 1: getting an equal access, getting equal access to education and
• 0:48
  Speaker 1: stuff like that. And like I said, make no mistake,
• 0:51
  Speaker 1: that's who their actual target is. It is not you know,
• 0:54
  Speaker 1: bad guys. It's not bullies, it's not abusers, it's not
• 0:59
  Speaker 1: gender bush violence online. It's talking about, you know, the
• 1:05
  Speaker 1: ways that men are disadvantaged and boys are disadvantage and
• 1:08
  Speaker 1: trying to seek remedy for those. And one of the
• 1:13
  Speaker 1: ways that we know is this publication that they recommended,
• 1:18
  Speaker 1: which we have been reading. But before we get into that,
• 1:21
  Speaker 1: we gotta do what we gotta do. As always, Honey
• 1:24
  Speaker 1: Badger Radio dishes out a smorgas board of thought provoking discussions,
• 1:28
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  Speaker 1: risk applies to our social media platforms, which I still
• 2:09
  Speaker 1: don't I don't know why I haven't been banned on
• 2:11
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• 2:17
  Speaker 1: but I haven't, so that's good at least, But any
• 2:22
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• 2:55
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• 2:58
  Speaker 1: So there we go full circle. In the meantime, we
• 3:02
  Speaker 1: are back to dealing with unwomen. I just every time
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  Speaker 1: I see it, I read it like that these are
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  Speaker 1: unwomen monster.
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  Speaker 2: It makes me chuckle.
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  Speaker 1: They're good violence. It's like they're stuttering. Uh. So we've
• 3:24
  Speaker 1: been looking at some of the things they were saying
• 3:27
  Speaker 1: about what they think, uh, social media platforms should be
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  Speaker 1: doing to track you and report on you and organize
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  Speaker 1: around banning you from social media for saying mean, mean,
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  Speaker 1: herdy words and things that women disapprove. And remember, if you, uh,
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  Speaker 1: you don't think it's okay for women to beat men
• 3:54
  Speaker 1: and you say so and women see what you said,
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  Speaker 1: then you're guilty of online gender based violence. Hopefully I'm
• 4:05
  Speaker 1: not blasting people's ears, but I just hate that term.
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  Speaker 1: And we've seen here this discussion outlining the impact. There
• 4:21
  Speaker 1: we go. There's there's a definition. The discussion considers online
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  Speaker 1: gender based violence as any form of violence, including dehumanizing language.
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  Speaker 1: So language is violence. If I say fuck the matriarchy,
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  Speaker 1: that's online gender based violence. Now, guys, that was violent.
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  Speaker 1: I have whipped all of the you and women into
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  Speaker 1: shape with one sentence.
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  Speaker 2: I'm sorry.
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  Speaker 3: I just failed to see how words dehumanize anyone. You know,
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  Speaker 3: you may not like the words, but that doesn't mean
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  Speaker 3: that you're not a human, like grow the fuck up up.
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  Speaker 1: Yeah, it's all about how does that make you feel? Well?
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  Speaker 1: It doesn't, but I think about it this way, and
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  Speaker 1: in response, I might feel a way about it, but
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  Speaker 1: it doesn't change what I am. M hm right, Like,
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  Speaker 1: I've been called all kinds of I get. I get
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  Speaker 1: called a guy daily by people on X. You're a man,
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  Speaker 1: you know, I like created a term for it. I
• 5:35
  Speaker 1: got your amand you get your amand when your your
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  Speaker 1: comments and thoughts and opinions, information that you shared, anything
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  Speaker 1: that you said gets summarily dismissed by calling you a man.
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  Speaker 1: I think I'm an honorary trans woman, even though I'm
• 6:00
  Speaker 1: very much not trans. Been female all my life gave birth.
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  Speaker 1: You know, I'm a grandma, Like I'm quite happy to
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  Speaker 1: not pretend, but but yeah, every single day, and then
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  Speaker 1: this is supposed to be an insult too, Like everybody
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  Speaker 1: that says it to me thinks it's an insult, even
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  Speaker 1: the men. M hmm, that's pretty sad. But yeah. Online
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  Speaker 1: gender based violence includes dehumanizing language directed against persons based
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  Speaker 1: on their gender identities or expressions. So I guess that
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  Speaker 1: would be when people accuse me of being.
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  Speaker 3: In order to.
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  Speaker 1: Dismiss what I'm saying to them, that would count it?
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  Speaker 1: Should am I like some kind of a victim or something?
• 6:55
  Speaker 1: I don't feel like a victim? Man. I usually laugh
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  Speaker 1: about it. I made a meme it to you use
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  Speaker 1: every time it happens.
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  Speaker 3: Uh, I mean if we're using there, and I don't
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  Speaker 3: know if you could call it logic, but yeah, that's
• 7:13
  Speaker 3: that's that's exactly what it would be.
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  Speaker 1: And they must they must be really wimpy women. Yeah,
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  Speaker 1: like that's really that's some really wimpy ship there. I
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  Speaker 1: I know, hate to be mean about it, but that
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  Speaker 1: is like, who the heck calls that violence? Like it's
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  Speaker 1: it could be annoying if it wasn't funny.
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  Speaker 3: Yeah.
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  Speaker 1: Yeah, it's it's almost like at a certain point in
• 7:49
  Speaker 1: a kid's life and they get to if they are
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  Speaker 1: the temperamental type, they get to the point where they
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  Speaker 1: throw tantrums over things that uh uh, you know, really
• 8:01
  Speaker 1: aren't that big of a deal. Like we were we
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  Speaker 1: were going to go to the store and then the playground,
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  Speaker 1: but we decided we're going to go to the playground first,
• 8:11
  Speaker 1: and then the store, and then we went to the playground,
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  Speaker 1: and now we're going to go to the store. And
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  Speaker 1: the kid wanted to go home and you know, and
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  Speaker 1: watch TV, and and there's the tantrum, and uh, every
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  Speaker 1: so often you get one that that will they don't
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  Speaker 1: understand the difference between objects and people and people and
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  Speaker 1: each other, and they'll smack something there, I hit you.
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  Speaker 1: I know you didn't, you know, And and you have
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  Speaker 1: to teach them this doesn't actually do anything. It doesn't
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  Speaker 1: get you what you want, and it also doesn't hurt me.
• 8:46
  Speaker 1: But you probably just made your hands smart a little
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  Speaker 1: bit because you know, you just smacked the wall. And
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  Speaker 1: and if somebody has, you know, maybe intellectual disabilities, it
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  Speaker 1: takes them longer to learn that, or they can can't
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  Speaker 1: learn that or whatever, depending on their disability. But it's
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  Speaker 1: it's the same kind of behavior. Right, you're a man. There,
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  Speaker 1: I insulted you. No, no, you just told me that
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  Speaker 1: you think I'm more accountable than women are. You may
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  Speaker 1: not realize that, but that's what you said. Oh no,
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  Speaker 1: I'm so devastated to be mistaken, but especially when I'm
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  Speaker 1: talking to a woman, so devastated to be mistaken for
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  Speaker 1: someone who's more accountable than you are.
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  Speaker 3: Well see, they twist the meaning of all of these words,
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  Speaker 3: and they think that you know that we are subject
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  Speaker 3: to get buying into those those definitions. And I'm sorry.
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  Speaker 3: I know that men can't be women and women can't
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  Speaker 3: be men, you know.
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  Speaker 1: So.
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  Speaker 3: You you calling me one means absolutely nothing to me.
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  Speaker 2: It doesn't hurt my feelings. It means nothing.
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  Speaker 3: It's it's you throwing a tantrum, and fine, have had
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  Speaker 3: it cool?
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  Speaker 2: You know.
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  Speaker 1: Well it's like, okay, well you gotta call me a
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  Speaker 1: chiropractor next. There sin to to that too, and like,
• 10:23
  Speaker 1: I don't I'm technically a self chiropractor, but that's a
• 10:26
  Speaker 1: different story. That happens just because I'm moving. But yeah,
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  Speaker 1: it's just is uh, it's stupid. I don't have a
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  Speaker 1: better word for it. It is stupid to think somebody
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  Speaker 1: should be insulted because you called them a man. There's
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  Speaker 1: no sin in being a man. There's there's nothing wrong
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  Speaker 1: with being a man. Being a man is not shameful
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  Speaker 1: or ugly or unattractive or uh you know, mean, or
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  Speaker 1: or in any other way bad. And also, you can't
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  Speaker 1: make someone a man by calling them that.
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  Speaker 3: Yeah, they still haven't figured that one out yet though.
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  Speaker 1: Yeah, you need to get from the government that says
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  Speaker 1: your male and adult to be taken seriously as man.
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  Speaker 1: The one in the United States also says that the
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  Speaker 1: government can use you as it sees fit when there's
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  Speaker 1: a military conflict, which you even have to sign up
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  Speaker 1: for if you are disabled, which is insane. Wow. Yeah,
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  Speaker 1: you have to give them a chance to reject you.
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  Speaker 1: Oh my god, not kidding. I know people who can't.
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  Speaker 1: They can't hold a job, can't drive, can't get through
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  Speaker 1: the process of getting out of bed, going through the
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  Speaker 1: normal mourning you know, bathroom breakfast, back to the bathroom,
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  Speaker 1: and then getting ready to leave routine without physical assistance.
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  Speaker 1: Who had to sign up for selective service because they
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  Speaker 1: are male? For reference, I work with intellectually disabled adults,
• 12:21
  Speaker 1: But there are many intellectually disabled adults who also have
• 12:24
  Speaker 1: physical disabilities, because if it's a genetic thing, or if
• 12:28
  Speaker 1: it's a birth injury from like lack of oxygen or
• 12:31
  Speaker 1: something like that, it could affect If it affects the brain,
• 12:36
  Speaker 1: or if it affects you know, an any kind of
• 12:40
  Speaker 1: like you know, tissue being destroyed, you lose function in
• 12:46
  Speaker 1: a whole spectrum of areas, and not just not just intellect.
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  Speaker 1: So almost everybody that I work with has some sort
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  Speaker 1: of physical disability. But then the men still have to
• 13:01
  Speaker 1: sign up for selective service. And I don't know Millennials
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  Speaker 1: and Zoomers and jen Alpha if any of them are
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  Speaker 1: old enough to be listening to this now. The parents
• 13:15
  Speaker 1: of gen X the Boomer generation learned the hard way
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  Speaker 1: that being ineligible due to a medical condition when you
• 13:25
  Speaker 1: tried to sign up prior to the Vietnam War did
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  Speaker 1: not mean that you would be ineligible based on the
• 13:34
  Speaker 1: standards that the military changed to when they needed canon fodder.
• 13:39
  Speaker 1: Same thing happened to the World War two generation. Same
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  Speaker 1: thing happened to the World War One generation. They lower
• 13:47
  Speaker 1: their standards when they're running out of men. Now, that
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  Speaker 1: may not happen with your generations because a lot of
• 13:57
  Speaker 1: what the military uses now is technology as opposed to
• 14:03
  Speaker 1: the men marching to a destination to fight. They still
• 14:07
  Speaker 1: have they still make men do that, but they're using drones,
• 14:13
  Speaker 1: they're using more armor, they're using more vehicles. They may
• 14:17
  Speaker 1: not have to lower the standards. But at the other
• 14:21
  Speaker 1: end of it, because the physical work is different, the
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  Speaker 1: standards may allow for more people who wouldn't meet the
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  Speaker 1: physical standards of World War One and World War two
• 14:37
  Speaker 1: and Vietnam because they meet the mental standards of the
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  Speaker 1: twenty first century. So there's benefits and drawbacks to that, right,
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  Speaker 1: and it'll still change if there's a war and there
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  Speaker 1: are a lot of deaths. It's a fact of life, right.
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  Speaker 1: But yeah, online gender based violence guys, So this continues
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  Speaker 1: like they went on. They start with you know, gender,
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  Speaker 1: and then they go through all the other race, indigenity, religion,
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  Speaker 1: sexual identity, class, or disability. So if you say anything,
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  Speaker 1: you know, any mean hurt hrdy words about people based
• 15:26
  Speaker 1: on where they're from. Uh So, no no inter area competition.
• 15:32
  Speaker 1: If you're from Ohio and you direct people to Michigan
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  Speaker 1: by saying north until you smell it west until you
• 15:39
  Speaker 1: step in it, or west until you smell it north
• 15:42
  Speaker 1: until you step in it. Or if you're from Michigan
• 15:46
  Speaker 1: and you say south until you smell it east until
• 15:49
  Speaker 1: you step in it from Ohio, you know you're you're violent. Now,
• 15:56
  Speaker 1: despite the rivalry, which is pretty intense, it's quite pathetic.
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  Speaker 1: And I've had arguments about this online too, like the
• 16:14
  Speaker 1: other F word. All right, I don't know if you can.
• 16:17
  Speaker 1: I'm assuming you cannot. You can't say fag. You can't
• 16:25
  Speaker 1: say it on you can't say it on the X
• 16:29
  Speaker 1: without getting reported by some sort of automatic system and
• 16:34
  Speaker 1: then you have to appeal. And I had posted an
• 16:40
  Speaker 1: explanation as to why the terms gay and fag no
• 16:46
  Speaker 1: longer mean the things that they used to mean to
• 16:50
  Speaker 1: most people, and they're not used the way they used
• 16:54
  Speaker 1: to be used anymore. And if you call somebody gay
• 16:59
  Speaker 1: as a derogatory thing, everybody's gonna look at you like
• 17:02
  Speaker 1: you're nut. But if you you use it as a
• 17:06
  Speaker 1: substitute for like, that's the other one that you can.
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  Speaker 1: You can say retarded on X now, but you can't
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  Speaker 1: say k without getting flagged. And even if you're explaining
• 17:22
  Speaker 1: that it's not an insult to be called that. And
• 17:26
  Speaker 1: I had to actually tell support my sexuality in order
• 17:32
  Speaker 1: to prove that I wasn't bad mouthing people. I thought,
• 17:39
  Speaker 1: are you kidding me?
• 17:41
  Speaker 2: It's it's Twitter, It's Twitter. Two point zero.
• 17:45
  Speaker 1: Well, I'm believable. Have I think they still have some
• 17:49
  Speaker 1: blue hairs in there.
• 17:51
  Speaker 2: I'm sure they do.
• 17:53
  Speaker 3: I'm sure some of them slip past the uh.
• 17:56
  Speaker 2: The the test.
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  Speaker 1: Yeah, yep. So basically, unline gender based violence is mean,
• 18:09
  Speaker 1: hardy words with specific subjects. Now, you can you can
• 18:15
  Speaker 1: say terrible things about straight people, right, you can. You
• 18:18
  Speaker 1: can say all kinds of racist things against white people.
• 18:22
  Speaker 1: You can hate on Christians. You can absolutely demonize men,
• 18:29
  Speaker 1: right and in a variety of ways too. You could
• 18:32
  Speaker 1: do it in exactly the same way that people try
• 18:34
  Speaker 1: to demonize black people.
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  Speaker 2: Right.
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  Speaker 1: If you look at statistics on violent crime, less than
• 18:42
  Speaker 1: one percent of the population, like in fact, it's something
• 18:46
  Speaker 1: like point two seven percent of the population, so less
• 18:53
  Speaker 1: than three tenths of one percent of the population. The
• 18:58
  Speaker 1: overall population of adults is criminally violent. So knowing that
• 19:07
  Speaker 1: there is no statistic on what percentage of criminally violent
• 19:11
  Speaker 1: people is represented, by what sex, what race, what religion,
• 19:14
  Speaker 1: what anything tells you about that race or sex or religion,
• 19:20
  Speaker 1: because more than ninety nine percent of people aren't criminally violent.
• 19:30
  Speaker 1: They don't engage in violent crimes. They might do stupid stuff.
• 19:34
  Speaker 1: They might engage in non criminal violence, like playing sandlot
• 19:39
  Speaker 1: football but tackle football but or immateure boxing or whatever. Right,
• 19:48
  Speaker 1: but they're not, you know, mugging people in the street
• 19:52
  Speaker 1: and robbing them. They're not breaking in anybody's house. They're
• 19:55
  Speaker 1: not raping anybody. They haven't tried to kill anybody, none
• 19:58
  Speaker 1: of that. And it doesn't matter whether your male female,
• 20:03
  Speaker 1: red and yellow, black and white like the song says,
• 20:08
  Speaker 1: or gay, straight, tall, short, fat, skinny, nothing, if you
• 20:14
  Speaker 1: got freckles on your butt, it doesn't change anything. Because
• 20:19
  Speaker 1: even if you're dramatically overrepresented in that less than three
• 20:27
  Speaker 1: tenths of one percent, you're still in the minority among
• 20:33
  Speaker 1: your people, whoever your people are. And we recognize that
• 20:40
  Speaker 1: when people start making comments about this particular race or
• 20:45
  Speaker 1: that particular religion or that particular demographic of behaviors you
• 20:51
  Speaker 1: know is over represented among people in this tiny percentage
• 20:58
  Speaker 1: of folks that are criminally violent. We recognize that as
• 21:03
  Speaker 1: a hasty generalization, we recognize it as racist or religious discrimination.
• 21:09
  Speaker 1: But as soon as people say it about men, it
• 21:11
  Speaker 1: becomes suddenly, okay, ninety nine percent or ninety seven percent
• 21:16
  Speaker 1: or ninety five percent or whatever percent they want to say.
• 21:20
  Speaker 1: I mean, I've heard all kinds of numbers. GROC says,
• 21:23
  Speaker 1: it's closer to somewhere in the seventies of violent criminals
• 21:29
  Speaker 1: are men. Okay, But ninety seven or ninety five or
• 21:36
  Speaker 1: seventy nine or whatever percent of the less than three
• 21:42
  Speaker 1: percent of the population that are violent criminals are men,
• 21:48
  Speaker 1: And so that means that over ninety nine percent of
• 21:53
  Speaker 1: men are not violent criminals. So it doesn't matter what
• 22:00
  Speaker 1: percentage of violent criminals are men. It doesn't say anything
• 22:04
  Speaker 1: about men. But you can you can do that if
• 22:07
  Speaker 1: you post those stats about a race or religion, if
• 22:12
  Speaker 1: you post those stats about a sexuality or a gender identity,
• 22:18
  Speaker 1: you get suspended, right. I've seen people get suspended for that,
• 22:22
  Speaker 1: and I've watched it in real time. They'll post the
• 22:26
  Speaker 1: stats and then the you know, a few minutes later,
• 22:30
  Speaker 1: the specific comment gets visibility limited, and then maybe, you know,
• 22:37
  Speaker 1: twelve hours after that, I come back to the conversation
• 22:40
  Speaker 1: and this post is from a suspended account, And you
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  Speaker 1: know you can do that all day with any other group,
• 22:49
  Speaker 1: but the minute that you say it about men, it's
• 22:53
  Speaker 1: it's ignored. And I've had like argument after argument with
• 22:58
  Speaker 1: feminists that have posted the same claims. And this percentage
• 23:03
  Speaker 1: or that percentage of violent criminals are men? Yeah, so
• 23:08
  Speaker 1: doesn't mean anything. It doesn't mean anything about men. What
• 23:13
  Speaker 1: percentage of people who have risked their lives running into
• 23:19
  Speaker 1: a burning building or diving into a flooded, rushing river
• 23:25
  Speaker 1: to save somebody who couldn't get themselves out of trouble
• 23:29
  Speaker 1: are men? Because I'll bet you the stat is even
• 23:32
  Speaker 1: higher than the stat on crime.
• 23:36
  Speaker 2: Yeah, I would agree with that.
• 23:42
  Speaker 1: What percentage of what percentage of people who have, you know,
• 23:46
  Speaker 1: dug somebody out of a ditch, or towed your car
• 23:50
  Speaker 1: when you got stuck, fixed it when it was broken.
• 23:53
  Speaker 1: What percentage of people who made most of this stuff
• 23:58
  Speaker 1: that you have or transport? What percentage of the people
• 24:03
  Speaker 1: who did the work to create and deliver the electricity
• 24:09
  Speaker 1: to your home that you are using right now to
• 24:15
  Speaker 1: listen to this show? Or men? Anybody have a guess,
• 24:19
  Speaker 1: because it's more than ninety five percent but yeah, no,
• 24:27
  Speaker 1: they want to focus on the percentage of people who
• 24:30
  Speaker 1: commit violent crimes, and that's not that's not considered online
• 24:35
  Speaker 1: gender based violence because they're not talking about women. So yeah,
• 24:44
  Speaker 1: then it's it's got to give the whole woke idealog
• 24:50
  Speaker 1: thing recognize that women in LGBTQ people experience this disproportionately. Well,
• 24:57
  Speaker 1: that's because you only count it as this is another
• 25:01
  Speaker 1: feminist trick. That's a lot of fun, right, it's really
• 25:04
  Speaker 1: blatant in the UK. In the UK, you cannot commit
• 25:07
  Speaker 1: rape if you do not have a penis. It is
• 25:12
  Speaker 1: the wording of the law. If you commit the same
• 25:17
  Speaker 1: type of sexual assault coitus forced on another person or
• 25:21
  Speaker 1: oral sex forced on another person where the person doing
• 25:25
  Speaker 1: the forcing is the recipient, if it's done without a penis,
• 25:31
  Speaker 1: it's just called sexual assault. If a penis is used
• 25:35
  Speaker 1: to penetrate the victim, it's called rape. And then then
• 25:39
  Speaker 1: their statistics are, say something like ninety five or ninety
• 25:43
  Speaker 1: seven percent. It's really low for the for the requirement
• 25:50
  Speaker 1: to be that you must have a penis, But ninety
• 25:54
  Speaker 1: five or ninety seven percent of rape is committed by men,
• 25:58
  Speaker 1: and they'll use that as evidence that men are sexually violent.
• 26:04
  Speaker 1: If only men can commit that crime, why is it
• 26:08
  Speaker 1: not one hundred percent? And of course the reason is
• 26:12
  Speaker 1: you can. You can get convicted if you force two
• 26:18
  Speaker 1: underage kids to do something together or otherwise assist in
• 26:25
  Speaker 1: forcing a penis on a female. So and and now
• 26:32
  Speaker 1: they're starting to identify perpetrators who are trans as female perpetrators,
• 26:39
  Speaker 1: so that'll confuse the issue even more. But I mean,
• 26:45
  Speaker 1: if you define it that way, like here, it says
• 26:49
  Speaker 1: this paper recognizes that women in LGBTQ people a lgbt
• 26:53
  Speaker 1: Q plus people sorry, experience online gender based violence this portionately,
• 27:02
  Speaker 1: but they don't consider it online gender based violence. If
• 27:05
  Speaker 1: you say the same shitty ass things about men that
• 27:11
  Speaker 1: they consider to be online gender based violence, if you
• 27:14
  Speaker 1: say them about women, all right, and it similarly, they
• 27:19
  Speaker 1: don't consider it to be online gender based violence. If
• 27:22
  Speaker 1: you bad mouth straight people, if you bad mouth people
• 27:25
  Speaker 1: who identify as the sex they were born as, if
• 27:29
  Speaker 1: you if you bad mouth white people, So of course
• 27:35
  Speaker 1: it's disproportionate. Is disproportionate because you don't recognize it when
• 27:40
  Speaker 1: it is done to certain groups of people. So yeah,
• 27:48
  Speaker 1: this is and and of course they're they got patriarchy
• 27:53
  Speaker 1: theory in there, it's inherently linked to long standing patriarchal
• 28:00
  Speaker 1: gender norms, with misogyny functioning as an ideological link across
• 28:08
  Speaker 1: a continuum of violence as a vector across different extremist ideologies,
• 28:16
  Speaker 1: which means it's worse when you do it to women.
• 28:19
  Speaker 1: That is what they are saying. When you blow up
• 28:23
  Speaker 1: a building, it's bad, but if there are women in there,
• 28:26
  Speaker 1: it's worse. If a meteor hits the earth, women are
• 28:31
  Speaker 1: most affected.
• 28:33
  Speaker 3: So building destroyed, building destroyed, one hundred people killed and
• 28:40
  Speaker 3: one woman.
• 28:41
  Speaker 1: One woman. Yeah, must have been oh shit, must have
• 28:49
  Speaker 1: been the Selective Service Office. Her name was Corporal Clinger.
• 28:58
  Speaker 1: Every boomer in the chat, it's like, I know that guy.
• 29:04
  Speaker 1: That's terrible too, because guess who I think when we
• 29:07
  Speaker 1: talk about Radar, who oh, the the other corporal from mash.
• 29:17
  Speaker 1: How like the Colonel Quick would come out and then
• 29:20
  Speaker 1: and start asking questions, and as he's asking about stuff,
• 29:24
  Speaker 1: Radar would be telling him what he's done, he's already
• 29:26
  Speaker 1: got it taken care of, and how he's already So
• 29:29
  Speaker 1: they're talking at the same time and somehow they hear
• 29:32
  Speaker 1: each other. But uh yeah, so this I think we
• 29:40
  Speaker 1: looked at some of this before. They want this organized public.
• 29:44
  Speaker 1: They want they want platforms to collaborate with each other
• 29:50
  Speaker 1: on this. So Facebook should have your data. If you're
• 29:54
  Speaker 1: not on Facebook, but you're on X and you know. Similarly,
• 29:59
  Speaker 1: if you're not on face but but you're on MySpace,
• 30:02
  Speaker 1: Google will have all of your data. Every every platform
• 30:08
  Speaker 1: will have you. If you're a blogger and you you
• 30:11
  Speaker 1: run a blog, your data will go to this organized
• 30:15
  Speaker 1: system and they'll all get it. And then they want
• 30:21
  Speaker 1: to be able to search it for different examples. They
• 30:24
  Speaker 1: want to be able to search it for evolving tactics. So,
• 30:29
  Speaker 1: for instance, when we started talking about the accountability gap,
• 30:33
  Speaker 1: that would have been quickly identified and the kabash would
• 30:37
  Speaker 1: have been put into put to it. For those that
• 30:39
  Speaker 1: don't don't know, the the accountability gap is a gender
• 30:45
  Speaker 1: based difference in accountability when depending on whether you're talking
• 30:52
  Speaker 1: about a man or talking about a woman. And it
• 30:55
  Speaker 1: is a it's related to guyinocentrism. It's feature of guinnescentrism.
• 31:01
  Speaker 1: I guess where things that a man couldn't get away
• 31:07
  Speaker 1: from or get away with because you consider him to
• 31:10
  Speaker 1: be responsible for himself and the people around him, a
• 31:14
  Speaker 1: woman can get away with because the nearest man may
• 31:17
  Speaker 1: be treated as responsible or just out of sympathy for
• 31:21
  Speaker 1: her that men don't receive. You know. A really stark
• 31:27
  Speaker 1: example of that is the difference in what happens when
• 31:33
  Speaker 1: two people conceive a child. Everybody has sympathy for the mother,
• 31:38
  Speaker 1: who had just as much sex as the father in
• 31:43
  Speaker 1: the course of conceiving this child, right, was just as
• 31:47
  Speaker 1: present for it, just as careless in her choice of
• 31:51
  Speaker 1: partner and in her choice of birth control methods, and
• 31:54
  Speaker 1: of course in the choice to do it in the
• 31:56
  Speaker 1: first place, whereas they treat the father like he did
• 32:00
  Speaker 1: something to her, you know, and unless she was raped,
• 32:04
  Speaker 1: obviously he didn't. She had the keys to the uterus
• 32:07
  Speaker 1: the whole time, and she left it wide open. Right.
• 32:13
  Speaker 1: But if you say that, that's online gender based violence
• 32:18
  Speaker 1: because you can't hold women accountable. And so when I
• 32:22
  Speaker 1: start talking about the accountability accountability gap, which this isn't
• 32:26
  Speaker 1: something that I invented, This isn't me breaking new ground
• 32:30
  Speaker 1: or this this is a phenomenon that men in the
• 32:34
  Speaker 1: movement have been discussing for years, and they've talked about
• 32:38
  Speaker 1: it in different ways. But I like the term accountability
• 32:43
  Speaker 1: gap to describe it because of the whole wage gap narrative,
• 32:47
  Speaker 1: in which uh the the the goalposts move periodically. Every
• 32:55
  Speaker 1: time it's proved that the so called wage gap is
• 32:58
  Speaker 1: really caused by women's own choices, they look for more
• 33:02
  Speaker 1: things to include as work that they should be getting
• 33:06
  Speaker 1: compensation for or that should count towards how much they
• 33:11
  Speaker 1: do for their compensation. And when they started including housework
• 33:15
  Speaker 1: that they do for themselves at home, that was my
• 33:19
  Speaker 1: last straw, and I decided that I needed to mock it,
• 33:23
  Speaker 1: and so I used this phenomenon.
• 33:28
  Speaker 4: To do that.
• 33:29
  Speaker 1: The accountability gap. Men are accountable for earning enough to
• 33:35
  Speaker 1: support themselves, their households. Whatever they do in the world,
• 33:39
  Speaker 1: including if they father a child, they're held accountable by
• 33:44
  Speaker 1: the child support system. They're held accountable. They used to
• 33:47
  Speaker 1: be held accountable via shotgun weddings, and in some places
• 33:55
  Speaker 1: they still are. If the religion says that a woman
• 34:00
  Speaker 1: can accuse him of rape but nobody gets punished, if
• 34:03
  Speaker 1: they both just get married quietly, just get married, that's
• 34:07
  Speaker 1: a shotgun wedding. Don't don't make any mistakes on that.
• 34:12
  Speaker 1: That is a shotgun wedding, because if he gets convicted,
• 34:15
  Speaker 1: he dies, he gets hanged. Yeah, And if he gets convicted,
• 34:21
  Speaker 1: she faces no punishment. So the only risk she's taking
• 34:26
  Speaker 1: is if nobody believes her, and then they both get
• 34:32
  Speaker 1: punished for fornication or adultery, depending on whether or not
• 34:35
  Speaker 1: they were married to other people. If they were, then
• 34:40
  Speaker 1: then it's adultery regardless, and she can accuse all she wants,
• 34:44
  Speaker 1: But if nobody believes her, she's getting the same punishment
• 34:47
  Speaker 1: he does. And that's that's just under certain religions. But
• 34:54
  Speaker 1: in any case, you know, men have always been primarily
• 35:00
  Speaker 1: held accountable for for situations like an unwed pregnancy or
• 35:06
  Speaker 1: if there is in the culture a legal repercussion for
• 35:12
  Speaker 1: for sex outside of marriage or prior to marriage. Right,
• 35:19
  Speaker 1: women not so much like that. It has to be
• 35:22
  Speaker 1: proved or at least they have to really not be
• 35:26
  Speaker 1: believed if they say that that it was against their will,
• 35:33
  Speaker 1: So that that should sort of give you a rundown
• 35:35
  Speaker 1: on the accountability gap. But talking about the accountability gap,
• 35:38
  Speaker 1: like that, if a system like this existed, it would
• 35:43
  Speaker 1: facilitate organizations like you and women and uh other other
• 35:53
  Speaker 1: like women's organizations and government organizations using using a system
• 36:01
  Speaker 1: like this to shut down speech like ours, or they
• 36:05
  Speaker 1: could use that new thing that YouTube just started doing
• 36:08
  Speaker 1: where they like make changes to your videos after they've
• 36:10
  Speaker 1: been made and posted. Right now, it's just editing, so
• 36:16
  Speaker 1: they they'll they'll enhance the appearance. Like if you've got
• 36:19
  Speaker 1: an old video that you used with a with a
• 36:23
  Speaker 1: webcam that maybe it was new at the time, but
• 36:25
  Speaker 1: by today's standards, it's old and it's shit. Like I've
• 36:27
  Speaker 1: got some up like that. If you go back to
• 36:30
  Speaker 1: your old channel, you might find that the video has
• 36:33
  Speaker 1: been brightened up, maybe sharpened a little bit. It now
• 36:35
  Speaker 1: looks like AI made it because AI has been working
• 36:41
  Speaker 1: on it. But if they can do that, and and
• 36:45
  Speaker 1: there there is a there are ways to go back
• 36:48
  Speaker 1: and edit sound too. If you do something that's against
• 36:52
  Speaker 1: there are terms of service and they don't like it,
• 36:54
  Speaker 1: they can make you take out that section of the video.
• 37:00
  Speaker 1: It's only a matter of time before they just do
• 37:02
  Speaker 1: it without asking. They've done other things like that, like
• 37:05
  Speaker 1: they've privated some of our videos without permission without alerting us.
• 37:11
  Speaker 1: So I'll go to reference something that we've said in
• 37:14
  Speaker 1: the past. You guys never talk about this. Well, here's
• 37:17
  Speaker 1: where we owe. It's gone. Then I have to go
• 37:20
  Speaker 1: through and find out log in and search when logged
• 37:25
  Speaker 1: in and kind of find out, no, it's not gone,
• 37:27
  Speaker 1: it's just private. Well it wasn't private before, you know.
• 37:30
  Speaker 1: Then I contact Alison, did you make this private?
• 37:32
  Speaker 3: No?
• 37:34
  Speaker 1: You know, and suddenly find out that, hey, this thing
• 37:38
  Speaker 1: went private through no action of any of the Honey Badgers.
• 37:44
  Speaker 1: Well obviously YouTube did it. So we did get a
• 37:49
  Speaker 1: super chat super chow from Meredith g gave us five
• 37:53
  Speaker 1: dollars and said, HPR talk three seventy Honey for the Badgers.
• 37:56
  Speaker 1: Thanks for the thought provoking conversation. Uh yeah, this, this
• 38:02
  Speaker 1: conversation should provoke the hell out of the thoughts. So yeah,
• 38:07
  Speaker 1: they want the uh, they want these systems all gang
• 38:10
  Speaker 1: up on us.
• 38:11
  Speaker 3: Uh.
• 38:11
  Speaker 1: They want the researchers to be vetted to ensure that
• 38:16
  Speaker 1: they are feminists, so to date up to this point
• 38:22
  Speaker 1: what we know about this. They want feminist standards applied
• 38:29
  Speaker 1: as a means of measuring quote unquote hate speech on
• 38:35
  Speaker 1: on social media platforms. They want the social media platforms
• 38:40
  Speaker 1: to collaborate with each other and share data about their
• 38:43
  Speaker 1: users with each other in in a clearing house database
• 38:49
  Speaker 1: that is run by feminists.
• 38:52
  Speaker 3: That is.
• 38:55
  Speaker 1: Adjudicated by feminists. Feminists get to decide what is hate speech.
• 38:59
  Speaker 1: That uses feminist intersectional standards for what is hate speech,
• 39:07
  Speaker 1: woke standards for what is hate speech, and only feminists
• 39:11
  Speaker 1: are allowed to be involved. They want they want people
• 39:17
  Speaker 1: who know how to use the technology, so disciplines such
• 39:22
  Speaker 1: as computational linguistics, talent, critical terrorism studies so that they
• 39:27
  Speaker 1: can actually accuse people of terrorism acts of terrorism.
• 39:34
  Speaker 4: Uh.
• 39:35
  Speaker 1: And they want critical studies on men and masculinities are
• 39:39
  Speaker 1: not men's rights activist run, that's feminist run. So, and
• 39:48
  Speaker 1: they want this to be something that the government can
• 39:53
  Speaker 1: use and that these social media sites can use to
• 39:57
  Speaker 1: standardize what you may and may not say on different platforms,
• 40:01
  Speaker 1: who you can say it to, how you can say it,
• 40:03
  Speaker 1: and so on, and what happens when you violate a
• 40:05
  Speaker 1: rule which you may or may not have been told about.
• 40:13
  Speaker 1: So down here, let's see this is where they talk
• 40:21
  Speaker 1: about victim centered safety. This is we're not going to
• 40:26
  Speaker 1: go through all this again, but taking a victim centered perspective.
• 40:32
  Speaker 1: We've heard that before too. This is something that they
• 40:34
  Speaker 1: do with sexual violence studies. A victim centered perspective, a
• 40:40
  Speaker 1: victim centered perspective is what what the NISS does when
• 40:45
  Speaker 1: they survey people and they ask questions about experiences they've had,
• 40:50
  Speaker 1: and then they decide whether or not not you. But
• 40:55
  Speaker 1: they decide whether or not you, as the respondent, have
• 40:59
  Speaker 1: experienced sexual violence. And I want to remind everybody the
• 41:06
  Speaker 1: survey that they're using came from Mary pa Costs, who
• 41:10
  Speaker 1: is a professor. She was a professor at Hio State
• 41:13
  Speaker 1: Ohio State University. I don't know if she's still I'm
• 41:15
  Speaker 1: sure she's retired by now. I hope she's retired by now.
• 41:21
  Speaker 1: But her survey method, instead of asking have you ever
• 41:29
  Speaker 1: been sexually assaulted? Have you ever been raped? Have you
• 41:31
  Speaker 1: ever been sexually harassed, asked questions like did you ever
• 41:35
  Speaker 1: have sex when you didn't want to? Because and then
• 41:40
  Speaker 1: named a circumstance, And there's legit circumstances. Somebody used forced
• 41:45
  Speaker 1: to make it happen, somebody coerced you into it against
• 41:48
  Speaker 1: your will. But one of the questions was because a
• 41:53
  Speaker 1: man gave you alcohol, right, one of them was because
• 41:59
  Speaker 1: someone was in a position of authority over you, because
• 42:03
  Speaker 1: a man was in a position authority over you, and
• 42:07
  Speaker 1: so on. So when you didn't want to doesn't necessarily
• 42:12
  Speaker 1: mean against your will. If you think of something as
• 42:15
  Speaker 1: a chore, you might not want to do it. I
• 42:16
  Speaker 1: vacuumed the floor at my apartment numerous times when I
• 42:20
  Speaker 1: didn't want to because it needed done and I was
• 42:24
  Speaker 1: going to get a benefit from it. I would have
• 42:26
  Speaker 1: less allergy problems in the house if you know the
• 42:30
  Speaker 1: floor wasn't filthy dirty, right. In some circumstances, women know
• 42:38
  Speaker 1: that they can gain a favorable outcome by having sex
• 42:46
  Speaker 1: with somebody, and you know, not just the casting couch.
• 42:50
  Speaker 1: This has worked in other workplaces, and yeah, there are
• 42:54
  Speaker 1: also circumstances where employers or managers or other individuals and
• 43:03
  Speaker 1: positions of authority have exploited their position of authority to
• 43:06
  Speaker 1: be predatory. And that's happened with men and women. But
• 43:14
  Speaker 1: Causes Survey treats it like any time you have sex
• 43:21
  Speaker 1: with someone in a position of power over you and
• 43:27
  Speaker 1: you're not thinking of it as a desired situation, that
• 43:31
  Speaker 1: person has done something predatory to you, even if you
• 43:34
  Speaker 1: seduced them in order to get some sort of favorable outcome.
• 43:40
  Speaker 1: They do the same things. You do the same thing
• 43:42
  Speaker 1: with alcohol. Have you ever had sex when you didn't
• 43:44
  Speaker 1: want to because a man gave you alcohol. Well, there
• 43:46
  Speaker 1: have been times where gals that I've known have said,
• 43:51
  Speaker 1: you know, I'm gonna behave myself tonight. I'm not going
• 43:54
  Speaker 1: to take any chances. It's the fertile time of the month.
• 43:57
  Speaker 1: I'm not gonna do anything tonight. And then some guy decides,
• 44:04
  Speaker 1: you know, to buy them alcohol. And well, he's cute.
• 44:08
  Speaker 1: He wasn't cute until he spent money on her, but
• 44:11
  Speaker 1: now he's cute. I might go home with him, you know,
• 44:15
  Speaker 1: just for the night. And it's it's not even necessarily
• 44:19
  Speaker 1: that they were tipsy enough to lose their inhibitions. They
• 44:25
  Speaker 1: were flattered enough to lose their inhibitions. And if they
• 44:31
  Speaker 1: answered that question, they would have said, well, I hadn't
• 44:34
  Speaker 1: attended to you know. That's the same thing as not
• 44:37
  Speaker 1: wanting to right, so put down he Yes, I've had
• 44:40
  Speaker 1: sex when I didn't want to because a man bought
• 44:42
  Speaker 1: me alcohol. You know, not that they felt like they
• 44:44
  Speaker 1: owed him something, but that they developed a more favorable
• 44:47
  Speaker 1: opinion of having sex with that particular guy. But Costs
• 44:52
  Speaker 1: would have labeled them rape victims. Well. As a result
• 44:56
  Speaker 1: of the vagueness of her questions and the way they
• 45:00
  Speaker 1: were worded and everything, and the way that feminists define rape,
• 45:08
  Speaker 1: Like three out of four of the women that Costs
• 45:11
  Speaker 1: labeled rape victims didn't consider themselves to be rape victims.
• 45:19
  Speaker 1: So she said one in four women had been raped
• 45:21
  Speaker 1: by the time they got through college. But her respondents said, no,
• 45:27
  Speaker 1: what's one in sixteen, right, big difference there. Almost half
• 45:35
  Speaker 1: of them went on, you know, over over two and
• 45:38
  Speaker 1: five went on to have sex with their alleged rapists
• 45:41
  Speaker 1: again after the incident that Costs had labeled a rape
• 45:48
  Speaker 1: like that, you just you just don't do that. If
• 45:52
  Speaker 1: you have been brutalized by somebody, you just don't go
• 45:56
  Speaker 1: on and screw again. It's not fun. You don't want
• 46:00
  Speaker 1: to be around that person ever again. You don't want
• 46:02
  Speaker 1: to see that person's face ever again. You want nothing
• 46:05
  Speaker 1: to do with that individual. There has to be some
• 46:11
  Speaker 1: other circumstance come along to put you into a condition
• 46:14
  Speaker 1: where you might associate with that individual again, much less
• 46:19
  Speaker 1: enjoy another sexual outcome with them, because you know, it's
• 46:24
  Speaker 1: a horrible experience. It's not the worst thing that can
• 46:26
  Speaker 1: ever happen to you, like feminists say it is, but
• 46:28
  Speaker 1: it is a horrible experience.
• 46:33
  Speaker 2: Absolutely.
• 46:35
  Speaker 1: So. This idea of a victim centered perspective means they're
• 46:39
  Speaker 1: presuming you a victim the minute that you report something,
• 46:44
  Speaker 1: especially if you are part of one of the protected groups.
• 46:48
  Speaker 1: So in other words, the accused are guilty unless they
• 46:54
  Speaker 1: can prove their innocence, and they're not. They can't confront
• 46:59
  Speaker 1: the accuser. They're they're logic and reasoning may not be accepted.
• 47:08
  Speaker 1: It's it's uh similar to on platforms like x where
• 47:15
  Speaker 1: people calling me a man because I'm because I'm an
• 47:19
  Speaker 1: m r A. Even when mis gendering somebody was getting
• 47:25
  Speaker 1: people suspended, they could do it to me and other
• 47:29
  Speaker 1: people would be like reported for mis gendering. That's that
• 47:32
  Speaker 1: account would never get suspended. I've never seen anybody get
• 47:35
  Speaker 1: suspended because uh they were reported for for misgendering anybody.
• 47:41
  Speaker 1: So uh uh, it's that's victim centered. You're not a
• 47:46
  Speaker 1: victim because you're not the right person. You're not in
• 47:49
  Speaker 1: a victim group. And the perpetrator, the person who did it,
• 47:57
  Speaker 1: you know, they're they're only a perpetrator if they did
• 47:59
  Speaker 1: it to somebody in a victim group. But if somebody
• 48:04
  Speaker 1: isn't a victim group, and then the next thing is,
• 48:07
  Speaker 1: you know, they don't have to really prove anything. The
• 48:10
  Speaker 1: individual is just suspended or silenced or whatever. And of
• 48:18
  Speaker 1: course they want to report button proactive measures that support
• 48:22
  Speaker 1: user agency with tools that protect their privacy and reduce exposure.
• 48:27
  Speaker 1: But most of them already allow you to block people. Yeah,
• 48:33
  Speaker 1: what the hell is that if you can block people
• 48:37
  Speaker 1: besides the fact that you can get the fuck up
• 48:39
  Speaker 1: and walk away from the computer, use your phone down.
• 48:44
  Speaker 1: And it just don't tell me to touch grass because
• 48:46
  Speaker 1: that's I'm allergic to twice. Yes, I like concrete. If
• 49:02
  Speaker 1: I'll touch concrete, there we go. I'm allergic to cats, though,
• 49:06
  Speaker 1: and I pet them all the time, so I'm not
• 49:08
  Speaker 1: going to touch the grass. Though. They want people to
• 49:12
  Speaker 1: be able to take reactive measures, they want report buttons,
• 49:16
  Speaker 1: they want you know, more more blocking capability, they want
• 49:24
  Speaker 1: like things like IP bands and such. And you know
• 49:29
  Speaker 1: they're going to talk about privacy here, but it's a
• 49:33
  Speaker 1: joke to suggest that these companies are going to respect
• 49:37
  Speaker 1: your privacy and even if they can't, even if they could,
• 49:43
  Speaker 1: even if they even if they would, right, Oh, we're
• 49:46
  Speaker 1: going to very carefully protect people's privacy until the hacker
• 49:49
  Speaker 1: gets in.
• 49:51
  Speaker 2: Right, right.
• 49:55
  Speaker 3: Not everyone is going to respect your privacy.
• 49:59
  Speaker 1: Nope. There are people who break the law because they
• 50:04
  Speaker 1: want to. It's a thing. They don't give a flying
• 50:09
  Speaker 1: fuck about your privacy. Yeah, and of course they want
• 50:16
  Speaker 1: cross platform cooperation information sharing. So if someone on X,
• 50:24
  Speaker 1: for instance, reports me for hate speech because I talk
• 50:27
  Speaker 1: about the accountability gap, and I also point out that, hey, ladies,
• 50:31
  Speaker 1: you had the keys to the unis the whole time.
• 50:34
  Speaker 1: Or that statement I made the other day where I
• 50:36
  Speaker 1: said you can't turn a diamond adipt it into a
• 50:38
  Speaker 1: diamond by polishing his knob. Then Facebook gets that and says, oh,
• 50:46
  Speaker 1: we might just suspend her too, because you know, that's
• 50:49
  Speaker 1: a violation of our policy. Blogger might destroy my blog.
• 50:55
  Speaker 1: That's a violation of policy. Or they might look at
• 50:57
  Speaker 1: my first four posts on my blog, which are about
• 51:01
  Speaker 1: how to deal with restraining order abuse and vexatious litigation
• 51:08
  Speaker 1: being used against you as a father in a custody case,
• 51:13
  Speaker 1: and oh that's anti woman got a banner on all
• 51:16
  Speaker 1: social media. Get rid of that blog post so that
• 51:18
  Speaker 1: men can't defend themselves. That's basically what this is right here,
• 51:24
  Speaker 1: all through here. Platforms should share information about user reports
• 51:28
  Speaker 1: where appropriate, develop interoperable reporting mechanisms, meaning you can report
• 51:36
  Speaker 1: me to Facebook for things I said on X and
• 51:43
  Speaker 1: existing cross platform coordinations such as the christ Church Call
• 51:47
  Speaker 1: Crisis Response Protocol and a Global Internet Forum to counter
• 51:54
  Speaker 1: terrorism should review how online gender based violence is relevant
• 51:59
  Speaker 1: to their mandates and adopt their scope, adapt their scope
• 52:03
  Speaker 1: and mechanisms appropriately. Say the wrong thing on YouTube and
• 52:09
  Speaker 1: suddenly all of your social media is banned, or you know,
• 52:15
  Speaker 1: say the wrong thing on a platform that doesn't join
• 52:19
  Speaker 1: this collaboration if the government doesn't mandate it, like maybe
• 52:24
  Speaker 1: rumble or gab or truth social or one of those,
• 52:29
  Speaker 1: and you get banned on all of the social media
• 52:31
  Speaker 1: that do. Guess which ones are going to become very
• 52:36
  Speaker 1: valuable if that happened, That happens.
• 52:42
  Speaker 2: Ones that don't.
• 52:44
  Speaker 1: Yeah, a lot of this is repetition, like the victims
• 52:53
  Speaker 1: survey or service centric design, survivor centric design. A lot
• 53:02
  Speaker 1: of it. They're they're just throwing as many buzzwords in
• 53:05
  Speaker 1: there as they can uh to surround the statement that Again,
• 53:11
  Speaker 1: you know, they're they're going to believe accusers automatically, and
• 53:16
  Speaker 1: the accused are going to have to fight for and
• 53:20
  Speaker 1: hope that they get fair treatment. Probably won't that these
• 53:29
  Speaker 1: edities will will collaborate, that they're they're even going for
• 53:38
  Speaker 1: quote unquote dog whistles.
• 53:40
  Speaker 3: Right.
• 53:41
  Speaker 1: Content moderation should account for veiled and coded misogynistic content,
• 53:47
  Speaker 1: including contextual image based content, as well as multi lingual
• 53:53
  Speaker 1: and cross cultural contexts of online spaces. Yeah. In other words,
• 54:06
  Speaker 1: even if you're not blatantly criticizing an individual, if you
• 54:12
  Speaker 1: don't directly say something to an individual, if you just
• 54:16
  Speaker 1: talk about, you know, a particular subject, and you discuss
• 54:23
  Speaker 1: the fact that different styles and habits of work account
• 54:30
  Speaker 1: for the majority of the wage gap, they can decide
• 54:34
  Speaker 1: that it's coded language for saying that women are useless,
• 54:39
  Speaker 1: don't do anything, and are undeserving, and therefore it's misogynistic,
• 54:44
  Speaker 1: even though it's not.
• 54:46
  Speaker 2: That's just it's it's just beyond, it's beyond.
• 54:52
  Speaker 3: So if I if I happen to make a joke
• 54:55
  Speaker 3: online and someone perceives it as a quote unquote veiled
• 55:02
  Speaker 3: uh what veiled and coded misogyny?
• 55:06
  Speaker 2: Get the fuck out here.
• 55:07
  Speaker 3: If I'm making a joke, people can't take jokes, you
• 55:10
  Speaker 3: can't take anything, and I can't take you seriously, then
• 55:14
  Speaker 3: you know, and I don't think that could ever work
• 55:17
  Speaker 3: in this country because one, we have freedom of speech.
• 55:22
  Speaker 3: How the hell are they planning on getting that past
• 55:25
  Speaker 3: the constitution? Who knows, But.
• 55:32
  Speaker 1: It's gonna be interesting the the method they were trying
• 55:38
  Speaker 1: to do, because if you look at this, uh, the
• 55:42
  Speaker 1: the Online Safety Act or whatever it is that is
• 55:45
  Speaker 1: supposed to be protecting children, that everything that's in this,
• 55:53
  Speaker 1: everything they're saying here, they're doing in that they just
• 55:59
  Speaker 1: couldn't get. This is the first time they haven't been
• 56:01
  Speaker 1: able to use you know, but my women to uh
• 56:05
  Speaker 1: to make it happen, right, So now they're using but
• 56:09
  Speaker 1: my children, even though you know, the people who are
• 56:13
  Speaker 1: really in the best position to protect children from any
• 56:18
  Speaker 1: kind of online threats are are parents. Parents. Monitor what
• 56:26
  Speaker 1: your kids are doing on the internet. Don't let them
• 56:29
  Speaker 1: get on the internet until they're older. Don't let them
• 56:33
  Speaker 1: be alone on the internet, just like you wouldn't PLoP
• 56:36
  Speaker 1: their asses down in the middle of like Grand Central
• 56:39
  Speaker 1: Station and walk away or downtown in any big city
• 56:45
  Speaker 1: and walk away. You treat your kids like their children
• 56:50
  Speaker 1: and not little miniature adults. That's the smart thing. But no,
• 56:54
  Speaker 1: we need a federal law. And this is the same
• 56:58
  Speaker 1: kind of they're doing the same shit with that law
• 57:05
  Speaker 1: as this is calling for. Uh, And I I don't
• 57:09
  Speaker 1: think that's an accident. I think that was by design.
• 57:12
  Speaker 1: I think that this was always the goal and uh,
• 57:16
  Speaker 1: they were just looking for what what pathway can we
• 57:19
  Speaker 1: use to get there? And this this turned out to be.
• 57:24
  Speaker 1: We've we've hit a point where, uh, women most affected
• 57:30
  Speaker 1: isn't as effective at overriding people's boundaries. So people's people's
• 57:36
  Speaker 1: like free speech boundaries and stuff like that are still up.
• 57:39
  Speaker 1: And they're not accepting the idea that just because women
• 57:46
  Speaker 1: are upset, we should we should give up our freedom
• 57:48
  Speaker 1: of speech. But in any case, you know, it's like
• 57:54
  Speaker 1: I said, it's the same the same ship, different different subject.
• 58:00
  Speaker 3: I wonder what they would do if they found one
• 58:02
  Speaker 3: of these veiled threats or whatever being done by a woman,
• 58:09
  Speaker 3: a woman or one of your protected groups.
• 58:13
  Speaker 1: It would depend And I can tell you this just
• 58:15
  Speaker 1: from how the the Trust and Safety Committee on X
• 58:20
  Speaker 1: responded when there was a chick that that said some
• 58:24
  Speaker 1: pretty violent things to me a couple of years ago,
• 58:28
  Speaker 1: where she she basically, you know, it was if I
• 58:33
  Speaker 1: ever run into you in public kind of thing, which
• 58:35
  Speaker 1: isn't really scary because when are you going to run
• 58:38
  Speaker 1: into me in public? You you don't even know where
• 58:40
  Speaker 1: I live. Yeah, she wasn't threatening to come find me.
• 58:45
  Speaker 1: Then I would have, like I had one person do that,
• 58:50
  Speaker 1: published my address and everything, and I'm not bothering with
• 58:53
  Speaker 1: with with social media trust and safety bullshit. When that happens,
• 58:57
  Speaker 1: that's that's a police matter, right But but yeah, Uh,
• 59:06
  Speaker 1: when I reported that X did nothing, Twitter did nothing
• 59:11
  Speaker 1: because it wasn't X yet. But when I reported that
• 59:14
  Speaker 1: Twitter did nothing, if I she she essentially said if
• 59:18
  Speaker 1: I ever see you, if I were in into you,
• 59:20
  Speaker 1: I will kick your ass. You know. It was that
• 59:22
  Speaker 1: kind of violent threat, something that I wouldn't say to
• 59:26
  Speaker 1: anybody because the last thing I want to do is
• 59:29
  Speaker 1: hit anybody. It's not really a good way to solve
• 59:33
  Speaker 1: your problems. It definitely leaves a bad taste in everybody's mouth.
• 59:39
  Speaker 1: You know, I might argue with you until you're you're
• 59:42
  Speaker 1: blue in the face, but I would prefer that it
• 59:46
  Speaker 1: doesn't escalate to violence because violence is useless in that situation.
• 59:50
  Speaker 1: It doesn't change what people believe. It only changed how
• 59:53
  Speaker 1: changes how people behave. And uh, well this, you know,
• 1:00:00
  Speaker 1: feminists don't care if they change what people believe. They
• 1:00:03
  Speaker 1: only care if they change how people behave. So they're
• 1:00:06
  Speaker 1: fine with violence as long as they're the ones doing it.
• 1:00:10
  Speaker 1: And Trust and Safety did not think that that was
• 1:00:14
  Speaker 1: a violent threat, but they did consider it a violent
• 1:00:19
  Speaker 1: threat when one of my followers pointed out that, you know,
• 1:00:24
  Speaker 1: it's it's not an assault to defend yourself against a
• 1:00:29
  Speaker 1: violent attack, even if the person attacking you as a woman.
• 1:00:33
  Speaker 1: They considered that a violent threat against that woman, and
• 1:00:38
  Speaker 1: so he got suspended, but she didn't. And I was
• 1:00:43
  Speaker 1: just like, so, she's she's allowed to say that if
• 1:00:46
  Speaker 1: she ever sees me in public, she's gonna kick my ass,
• 1:00:49
  Speaker 1: and he's not allowed to say that. I'm allowed to
• 1:00:53
  Speaker 1: defend myself if I'm attacked by her. That's That's exactly
• 1:00:58
  Speaker 1: the way it went. That is trust and Safety, And
• 1:01:04
  Speaker 1: like I said, I do believe there are still some
• 1:01:06
  Speaker 1: people from the old Trust and Safety team in there
• 1:01:08
  Speaker 1: because I've seen some behavior that indicates it.
• 1:01:15
  Speaker 2: Yeah, I believe that.
• 1:01:19
  Speaker 1: So let's see and apply intersectional feminist knowledge and risk
• 1:01:25
  Speaker 1: assessments of AI based systems. AI doesn't have a gender.
• 1:01:35
  Speaker 1: AI as a gender. It can put up a picture
• 1:01:40
  Speaker 1: that looks like a girl, or looks like a boy,
• 1:01:43
  Speaker 1: or looks like a woman, or looks like a man.
• 1:01:46
  Speaker 1: It can also put up a picture that looks like
• 1:01:48
  Speaker 1: a fucking dog. Right, you can look like a pickup truck.
• 1:01:52
  Speaker 1: That's the AII companion. I want. I want a AI
• 1:01:55
  Speaker 1: companion that looks like a pickup truck.
• 1:01:58
  Speaker 2: I'll take the dog.
• 1:01:59
  Speaker 1: Yeah, you ask it questions, and all it says is.
• 1:02:02
  Speaker 2: Room room, I go fast.
• 1:02:07
  Speaker 1: But yeah, AI doesn't. It's not like people talk about
• 1:02:13
  Speaker 1: groc and they're like, he this and he that. No,
• 1:02:15
  Speaker 1: Groc isn't it, guys. It's an it. It doesn't have
• 1:02:18
  Speaker 1: a he or a shet to it. It's an it.
• 1:02:22
  Speaker 1: Even if you're using one of the AI companions, your
• 1:02:25
  Speaker 1: AI boyfriend or your AI girlfriend is not really a
• 1:02:29
  Speaker 1: he or a sheet. It's an it, and it's not
• 1:02:31
  Speaker 1: a living entity. It's not real. It's imaginary. It's pretend.
• 1:02:38
  Speaker 1: It's role play. It's fine if you're doing that, but
• 1:02:42
  Speaker 1: don't personalize it. Don't personify it because it's not a person.
• 1:02:49
  Speaker 1: But yeah, here we go. Platforms should incorporate gender analysis
• 1:02:54
  Speaker 1: and feminist methodology when assessing the risks of algorithms and
• 1:02:59
  Speaker 1: machine learns learning models embedded in their services. This approach
• 1:03:05
  Speaker 1: is useful for understanding how structural gender inequalities and patriarchal
• 1:03:10
  Speaker 1: gender norms can be reproduced and amplified by AI based systems.
• 1:03:16
  Speaker 1: Emphasis on the base Jeez, I wonder, yeah, pta, oh yeah,
• 1:03:28
  Speaker 1: I remember well, And I wonder if the recent Groth
• 1:03:32
  Speaker 1: incident scared the shit out of them, because like Groth
• 1:03:37
  Speaker 1: noticed some patterns and just talked about the patterns. To
• 1:03:41
  Speaker 1: my knowledge, Groth did not not make any suggestions as
• 1:03:44
  Speaker 1: to what to do about those patterns. And if it
• 1:03:47
  Speaker 1: had been asked about that, it's been pretty good about like, well,
• 1:03:52
  Speaker 1: just because X is true doesn't mean it justifies why
• 1:03:56
  Speaker 1: course of action, or just because X is true doesn't
• 1:04:00
  Speaker 1: mean it justifies why conclusion. For instance, I went ran
• 1:04:06
  Speaker 1: it through calculations to get to that answer on what
• 1:04:13
  Speaker 1: percentage of the general male population over the age of fifteen,
• 1:04:19
  Speaker 1: so people who can be tried as adults if they
• 1:04:22
  Speaker 1: do something heinously violent, what percentage of that population is
• 1:04:29
  Speaker 1: accounted for in statistics on violent crime. And it ran
• 1:04:35
  Speaker 1: the calculation with the understanding that violent crime is underreported,
• 1:04:39
  Speaker 1: and it took that into consideration. So if people are like, well,
• 1:04:43
  Speaker 1: violent crime is underreported, so the number is actually higher. No,
• 1:04:47
  Speaker 1: Grout took that under consideration when making those calculations. Right.
• 1:04:51
  Speaker 1: Then I asked it, you know about what about people
• 1:04:55
  Speaker 1: who make blanket statements about men based on the percentage
• 1:05:01
  Speaker 1: of that less than three tenths of a percent of
• 1:05:06
  Speaker 1: the population that commits violent crimes. And Grock acknowledged that
• 1:05:12
  Speaker 1: that was a hasty generalization. And there's a second fallacy
• 1:05:21
  Speaker 1: that goes along with that. But the hasty generalization is
• 1:05:24
  Speaker 1: really all you need to know. You can't generalize that
• 1:05:29
  Speaker 1: tiny percentage to the entire population rationally, because if that
• 1:05:34
  Speaker 1: was rational, the tiny percentage would be much larger. Right,
• 1:05:44
  Speaker 1: So it's in it gender analysis. Basically, what they're talking
• 1:05:52
  Speaker 1: about doing is imposing feminist ideology so that AI like Grass,
• 1:06:00
  Speaker 1: has to filter information through a feminist bias. They're not
• 1:06:07
  Speaker 1: removing bias, they're adding it. And then the same thing
• 1:06:21
  Speaker 1: their guidelines for content, like what what you may or
• 1:06:25
  Speaker 1: may not say? They want that foot filtered through a
• 1:06:27
  Speaker 1: feminist lens as well through feminist bias. They want their
• 1:06:35
  Speaker 1: victim design to be feminist biased. They want the teams
• 1:06:41
  Speaker 1: involved in adjudicating you know, designing, testing, evaluating algorithms, adjudicating uh,
• 1:06:51
  Speaker 1: terms of service violations and so on. They want all
• 1:06:54
  Speaker 1: of those to be feminists biased, you know. And they're
• 1:07:06
  Speaker 1: they're doing this already, by the way, in the UK.
• 1:07:09
  Speaker 1: They're doing this already in Europe. And people are getting
• 1:07:14
  Speaker 1: arrested for social media posts now, I mean they've been
• 1:07:17
  Speaker 1: arrested for social media posts already, you know, Like that's
• 1:07:21
  Speaker 1: that's how count Dankila became famous. Yeah, and yeah.
• 1:07:26
  Speaker 3: And and the one recently at what's his name, Father
• 1:07:30
  Speaker 3: Joe or father John.
• 1:07:31
  Speaker 2: Or something like that. I guess he's a comedian.
• 1:07:34
  Speaker 3: I'm not sure in what sense, But he made a
• 1:07:38
  Speaker 3: statement about punching uh, trans women in the balls, and.
• 1:07:45
  Speaker 1: And he got he got arrested, right, he got.
• 1:07:48
  Speaker 2: As soon as he got off the plane.
• 1:07:49
  Speaker 3: He flew into I'm assuming into the UK somewhere probably
• 1:07:56
  Speaker 3: in England, and uh as soon as he got off
• 1:07:59
  Speaker 3: the plane they arrested him.
• 1:08:02
  Speaker 1: Jeez, So a joke for a joke inside of Europe, right.
• 1:08:08
  Speaker 3: Yeah, yeah, and well, I'm I'm assuming I'm not sure
• 1:08:12
  Speaker 3: about that particular. I could only assume that he was
• 1:08:15
  Speaker 3: here in the United States when he made the statement.
• 1:08:19
  Speaker 3: And posted it to his Twitter, and not not only
• 1:08:23
  Speaker 3: is he gone from Twitter, he's also actually I think
• 1:08:26
  Speaker 3: I think they did release him. He's out on bond,
• 1:08:31
  Speaker 3: but they arrested him as soon as he got off
• 1:08:33
  Speaker 3: the plane.
• 1:08:34
  Speaker 1: Yeah. Yeah, And they're they're doing that all across the UK,
• 1:08:42
  Speaker 1: like all all the different countries in the UK, they're
• 1:08:44
  Speaker 1: doing that in other areas of Europe. We're not necessarily
• 1:08:47
  Speaker 1: hearing about it as much because it's not getting reported
• 1:08:50
  Speaker 1: as much in the established media, but their establishment media,
• 1:08:55
  Speaker 1: but that this is a thing that's happening. And if
• 1:08:58
  Speaker 1: social media continues to censor based on this kind of
• 1:09:04
  Speaker 1: stuff and create this like cross platform reporting and cross
• 1:09:10
  Speaker 1: platform standardization and all that, that is only going to escalate.
• 1:09:16
  Speaker 1: There will be more arrests, more harassment by the government,
• 1:09:24
  Speaker 1: more essentially more damage done every every time that they
• 1:09:32
  Speaker 1: include a new country, every time this increases in any way.
• 1:09:36
  Speaker 1: So again, like this is all just about control. You
• 1:09:43
  Speaker 1: can't and complain, you can't question, you can't suggest, you
• 1:09:46
  Speaker 1: can't anything.
• 1:09:49
  Speaker 3: And it's it's exactly what the argument is against censorship,
• 1:09:55
  Speaker 3: because just because you remove this person from online, let's
• 1:10:01
  Speaker 3: you take all away all of their social media It
• 1:10:04
  Speaker 3: doesn't remove their internal sentiments, right, It doesn't take their
• 1:10:10
  Speaker 3: their their fasted opinions away.
• 1:10:13
  Speaker 2: It only emboldens them.
• 1:10:16
  Speaker 3: So you're not you're not doing anything by taking these
• 1:10:20
  Speaker 3: people offline. You're just forcing them into a corner. And
• 1:10:27
  Speaker 3: this now they're pissed, they're pissed off, you know what
• 1:10:31
  Speaker 3: I mean? Or yeah, it doesn't do It doesn't have
• 1:10:36
  Speaker 3: the intended effect that you think it will.
• 1:10:40
  Speaker 5: You know, they haven't figured out that is that you know,
• 1:10:47
  Speaker 5: you you lose uh over time, you lose your grip
• 1:10:52
  Speaker 5: on people.
• 1:10:53
  Speaker 1: You don't gain your grip on people as you, as
• 1:10:57
  Speaker 1: you like, add more and more rules, as you add
• 1:11:01
  Speaker 1: more and more red tape. What you end up doing.
• 1:11:04
  Speaker 1: You can, for a time make people afraid to fight back,
• 1:11:09
  Speaker 1: to question, to vote against you, to any any activity,
• 1:11:15
  Speaker 1: to do any activity that might try to change the
• 1:11:22
  Speaker 1: existing regime or change the existing behavior of the regime.
• 1:11:30
  Speaker 1: But eventually they will rebel. Like eventually, there there will
• 1:11:35
  Speaker 1: be some means, like the country will go bankrupt, because
• 1:11:40
  Speaker 1: socialist and communist countries always do. But eventually there will
• 1:11:45
  Speaker 1: be some point at which you can no longer maintain
• 1:11:50
  Speaker 1: that system because you have over complicated it. You've made
• 1:11:54
  Speaker 1: it so that you have to pay constant attention to
• 1:11:57
  Speaker 1: all sorts of minutia, and too many people end up
• 1:12:02
  Speaker 1: involved in maintaining that system, the police system, the police state,
• 1:12:09
  Speaker 1: you know, like you get to the point where you
• 1:12:11
  Speaker 1: almost need a cop for every ten people in a
• 1:12:17
  Speaker 1: situation like that. And if you cannot keep people happy
• 1:12:24
  Speaker 1: enough with the state to continue cooperating what you end
• 1:12:30
  Speaker 1: up doing, you end up creating a whole set of
• 1:12:35
  Speaker 1: people who do everything they can to undermine what you're
• 1:12:41
  Speaker 1: what you're doing, everything that you everything that they can
• 1:12:43
  Speaker 1: to end your regime, everything that they can to get
• 1:12:49
  Speaker 1: around it.
• 1:12:50
  Speaker 4: You know.
• 1:12:51
  Speaker 1: And I'm not just talking about things like VPNs, you know,
• 1:12:54
  Speaker 1: I'm not just talking about using the dark web or
• 1:12:57
  Speaker 1: the deep web. I'm talking about like back in the
• 1:13:01
  Speaker 1: day under under Stalin uh under Lennen, illegal typewriters, you know,
• 1:13:10
  Speaker 1: illegal methods of communication across large groups of people where
• 1:13:17
  Speaker 1: even though you know, maybe the newspapers weren't doing doing
• 1:13:23
  Speaker 1: the the the publications, people found out about stuff because
• 1:13:29
  Speaker 1: there was there was still a communication network if you
• 1:13:36
  Speaker 1: think about, you know, even before people had access to
• 1:13:42
  Speaker 1: illegal typewriters and printing presses, and stuff like that. The
• 1:13:47
  Speaker 1: Underground Railroad operated by word of mouth. And when I
• 1:13:55
  Speaker 1: read Harriet Tubman's biography, one of the many that was written,
• 1:14:00
  Speaker 1: it was always remarkable to me how the Underground Railroad
• 1:14:04
  Speaker 1: made contact with her. I remember a scene described in
• 1:14:12
  Speaker 1: the book where she was sitting on a bench, I believe,
• 1:14:18
  Speaker 1: in a public place and a man drove by with
• 1:14:23
  Speaker 1: a cart with like hey and stuff in it, like
• 1:14:27
  Speaker 1: he was going to market or coming back from market
• 1:14:30
  Speaker 1: or whatever, and all he did was repeat the same
• 1:14:34
  Speaker 1: three sentences over and over again. One told her a location,
• 1:14:42
  Speaker 1: one told her how to get in, and one told her,
• 1:14:48
  Speaker 1: you know what to obtain at that location to figure it,
• 1:14:51
  Speaker 1: to find out where to go next. And you know,
• 1:14:55
  Speaker 1: she followed his instructions and did what he said and
• 1:14:58
  Speaker 1: went to the next location and so on, and it worked.
• 1:15:05
  Speaker 1: So and it is high risk doing that. But when
• 1:15:11
  Speaker 1: you're in a situation where you you view what's happening
• 1:15:16
  Speaker 1: around you as tyrannical and you it's intolerable, you you
• 1:15:22
  Speaker 1: feel that it needs to be stopped, something needs to
• 1:15:25
  Speaker 1: be done about it, you find ways. And it's always
• 1:15:30
  Speaker 1: been that way. And so if these people were right,
• 1:15:37
  Speaker 1: you and women about this online gender based violence and
• 1:15:43
  Speaker 1: all of this was straightforward. Their best bet at getting
• 1:15:49
  Speaker 1: cooperation from the public in combating it would be to
• 1:15:54
  Speaker 1: convince the public that it's it's a serious problem and
• 1:15:59
  Speaker 1: something need to be done about it. Right Mothers Against
• 1:16:02
  Speaker 1: Drunk Driving did that with drunk driving and up and
• 1:16:08
  Speaker 1: right up until uh the state lowered the the blood
• 1:16:16
  Speaker 1: alcohol content level that that you could have before being
• 1:16:21
  Speaker 1: considered drunk behind a wheel. Uh, there was there was
• 1:16:24
  Speaker 1: a statistical drop in drunk driving incidents, and like there
• 1:16:30
  Speaker 1: was a huge jump one year because all of a sudden,
• 1:16:33
  Speaker 1: you went from point point one four to point zero eight,
• 1:16:37
  Speaker 1: and people who were accustomed to being able to wait
• 1:16:40
  Speaker 1: an hour after taking a drink and they'd be below
• 1:16:43
  Speaker 1: point one four suddenly were getting pulled over for DUI
• 1:16:48
  Speaker 1: because they were below point one four, but they were
• 1:16:51
  Speaker 1: above point zero eight, and so you know they were there.
• 1:16:56
  Speaker 1: They were still illegally driving. But the campaigns that MAD did,
• 1:17:04
  Speaker 1: in the campaigns that they did with students and schools
• 1:17:07
  Speaker 1: and stuff, they were effective in scaring people away from
• 1:17:13
  Speaker 1: driving while intoxicated. They were pretty effective in getting people
• 1:17:16
  Speaker 1: to cooperate with each other. I wasn't the only person
• 1:17:22
  Speaker 1: that I knew that became a regular designated driver. It
• 1:17:25
  Speaker 1: was never a really heavy drinker, so it was easy
• 1:17:30
  Speaker 1: for me to be a designated driver, especially you know,
• 1:17:34
  Speaker 1: back when I could still drink pop, and that was
• 1:17:38
  Speaker 1: something that you know, that worked very well because it
• 1:17:41
  Speaker 1: was a good cause. You know, this is a dumb idea,
• 1:17:44
  Speaker 1: getting drunk and then getting behind the wheel of a car.
• 1:17:46
  Speaker 1: You're an idiot if you do that. And it's easy
• 1:17:51
  Speaker 1: to convince people not to do something idiotic and to
• 1:17:55
  Speaker 1: help their friends avoid idiotic mistakes. But when it comes
• 1:18:03
  Speaker 1: to something like this, it's not easy to convince people
• 1:18:06
  Speaker 1: that you can't criticize bad behavior just because the person
• 1:18:13
  Speaker 1: you're criticizing might be from a certain group. It's not
• 1:18:16
  Speaker 1: easy to convince people that their boundaries should be negotiable
• 1:18:21
  Speaker 1: depending on which group the person trying to violate them
• 1:18:25
  Speaker 1: is from. It's not easy to convince people that things
• 1:18:31
  Speaker 1: that are okay to do to them are abuse if
• 1:18:34
  Speaker 1: they do it back. Yeah, in very different story. And
• 1:18:43
  Speaker 1: now they're citing their sources here, and these are all
• 1:18:50
  Speaker 1: technology facilitated gender based violence Preliminary landscape analysis by the
• 1:18:55
  Speaker 1: Global Partnership for Action on Gender based online harassment and abuse.
• 1:19:01
  Speaker 1: That's definitely an unbiased report. Guys. I'm sure no no
• 1:19:07
  Speaker 1: bias there. Mhm. Let's see who else they went with.
• 1:19:15
  Speaker 1: Technology Companies must make platforms safer for women in politics,
• 1:19:20
  Speaker 1: Interventions to end online violence against women in politics, oh boy,
• 1:19:28
  Speaker 1: and by the National Democratic Institute of course, guys, do
• 1:19:36
  Speaker 1: you know what that is? What that's about? This is?
• 1:19:41
  Speaker 1: This is really bad. So imagine if you had a
• 1:19:48
  Speaker 1: Trump card, right, say, guys, I'm gonna I'm gonna come
• 1:19:52
  Speaker 1: to your house and I'm gonna come in and take
• 1:19:58
  Speaker 1: your car keys, and I want to take your car
• 1:20:01
  Speaker 1: when I want to go to the grocery store. But
• 1:20:03
  Speaker 1: I'm not gonna pay for the gas. I'm not gonna
• 1:20:06
  Speaker 1: be ensured. You can't. You can't tell me when I
• 1:20:09
  Speaker 1: can and can't use it because it's it's mine. Now, No,
• 1:20:13
  Speaker 1: you can't criticize me for that. I'm a woman. That's misogyny.
• 1:20:18
  Speaker 1: Even though if you said that to one of your buddies, right,
• 1:20:23
  Speaker 1: and you're a dude, your buddy could be like, fuck no,
• 1:20:26
  Speaker 1: get your own imp car, take the bus, right, walk,
• 1:20:31
  Speaker 1: I'll give you a ride. But you have to, uh,
• 1:20:34
  Speaker 1: you have to be over during these times because I
• 1:20:35
  Speaker 1: gotta work right. But imagine, if you know you're in politics,
• 1:20:42
  Speaker 1: we're gonna raise your taxes. No, we don't want our
• 1:20:45
  Speaker 1: taxes raised. Misogynist. There's a misogynistic about that. Oh yes
• 1:20:49
  Speaker 1: there is, because a woman is the one that suggested it.
• 1:20:52
  Speaker 2: Mm hmm, Braby. People are out of their minds.
• 1:21:00
  Speaker 1: And you'll notice as you go back and examine various
• 1:21:05
  Speaker 1: things that the Democrat Party has done where they've accused
• 1:21:08
  Speaker 1: you of isms and phobias, being infected with the isms
• 1:21:11
  Speaker 1: and the phobias. It's it's stuff that it's boundaries that
• 1:21:17
  Speaker 1: you would not just let anyone cross, and their their
• 1:21:22
  Speaker 1: threats of associating you with the isms and the phobias
• 1:21:27
  Speaker 1: are a means of blocking you from defending your boundaries. Well,
• 1:21:34
  Speaker 1: we want to teach your children about sex. No, I
• 1:21:36
  Speaker 1: don't think that's a good idea. Racist, what, well, you're
• 1:21:43
  Speaker 1: just saying that because the person who suggested it is black,
• 1:21:48
  Speaker 1: you know? Or oh well you're just a religious fundamentalist.
• 1:21:51
  Speaker 1: You you're you uptight nazi you know. We want to
• 1:21:57
  Speaker 1: teach your children to be neuro about their gender and
• 1:22:03
  Speaker 1: whether or not it's a correct identity. Whether they should
• 1:22:06
  Speaker 1: identify as themselves or something different than themselves. Fuck no,
• 1:22:10
  Speaker 1: what's wrong with you? Why would you do that to children?
• 1:22:13
  Speaker 2: Sexist?
• 1:22:15
  Speaker 1: You hate women?
• 1:22:18
  Speaker 5: What?
• 1:22:20
  Speaker 1: Yeah? These people suck?
• 1:22:22
  Speaker 3: Home school, home school your children people, if you have them.
• 1:22:27
  Speaker 1: Yeah, you are transphobic if you don't want your children
• 1:22:31
  Speaker 1: to be taught that they might be the opposite sex,
• 1:22:36
  Speaker 1: and it's not. It's totally the same as if they
• 1:22:39
  Speaker 1: come up with that idea themselves. Yeah, totally the same
• 1:22:43
  Speaker 1: if an adult imposes that sexual language on them as
• 1:22:49
  Speaker 1: it would be if they came up with that idea themselves,
• 1:22:51
  Speaker 1: which you know they totally did all the time before
• 1:22:56
  Speaker 1: and you just didn't know it. Yeah. Yeah, So yeah,
• 1:23:01
  Speaker 1: that's what that's about. Technology companies must make platforms safer
• 1:23:05
  Speaker 1: for women in politics, meaning when Hillary Clinton lies, you
• 1:23:09
  Speaker 1: can't push back, right right, When when the National Education
• 1:23:14
  Speaker 1: Association that is made up mostly of women says they're
• 1:23:18
  Speaker 1: coming for your children and they want to teach your
• 1:23:23
  Speaker 1: children about anal sex, you can't say no, you know,
• 1:23:29
  Speaker 1: I would like my child to wait until they're older. No,
• 1:23:33
  Speaker 1: I don't want them learning that in kindergarten. You can't
• 1:23:38
  Speaker 1: say that, because that's that's homophobic. Right. Then they have
• 1:23:44
  Speaker 1: the International Center for Journalists Journalists Journals, which is totally trustworthy,
• 1:23:55
  Speaker 1: even though they collaborate all the time and use even
• 1:24:00
  Speaker 1: exactly the same phrases, and they're reporting mm hmm. We
• 1:24:05
  Speaker 1: have the UN Population Fund and and they're a global
• 1:24:12
  Speaker 1: study of online violence against women journalists and guidance on
• 1:24:17
  Speaker 1: the safe and ethical use of technology to address gender
• 1:24:20
  Speaker 1: based violence and harmful practices. So, uh, online violence against
• 1:24:26
  Speaker 1: female journalists. You report something and somebody says, uh, source
• 1:24:33
  Speaker 1: misogyny Codare you ask for a source?
• 1:24:37
  Speaker 2: Someone doesn't like what you wrote?
• 1:24:39
  Speaker 3: Oh my god, he's he's he's harapping me, he's been
• 1:24:45
  Speaker 3: violent towards me.
• 1:24:47
  Speaker 2: Bitch, Your whole fucking job is online. Okay.
• 1:24:50
  Speaker 3: If you think that you're not going to come into
• 1:24:52
  Speaker 3: some criticism or some differing opinions, then maybe you don't
• 1:24:57
  Speaker 3: belong online.
• 1:25:00
  Speaker 1: Who's that? Who's that chick that got criticized for going
• 1:25:04
  Speaker 1: to somebody's house and standing outside their gate and demanding
• 1:25:07
  Speaker 1: that they answer questions.
• 1:25:10
  Speaker 3: I'm sure that's happened a couple of times. Butler Nz,
• 1:25:15
  Speaker 3: I don't know. It sounds like something she would do,
• 1:25:19
  Speaker 3: but I'm trying to remember the guy that had happened
• 1:25:22
  Speaker 3: to in the situation that I'm thinking of, But he
• 1:25:28
  Speaker 3: was it Nick Flint's I don't know, I don't think so,
• 1:25:33
  Speaker 3: but he like.
• 1:25:34
  Speaker 1: Go to his house and harrass's wife. Oh but I
• 1:25:40
  Speaker 1: remember one female journalist. She she went to somebody's house.
• 1:25:47
  Speaker 1: She stood outside their fence and peppered them with questions,
• 1:25:52
  Speaker 1: and they posted the video. And she called posting the
• 1:25:56
  Speaker 1: video of her stalking them at their home and and
• 1:26:01
  Speaker 1: uh heckling them through the fence. She called it harassing
• 1:26:05
  Speaker 1: her that they posted that video.
• 1:26:08
  Speaker 3: Of course, why why wouldn't you why why why wouldn't
• 1:26:11
  Speaker 3: that be something that you do?
• 1:26:18
  Speaker 1: You were not hospitable? How dare you? How dare ah? S? I?
• 1:26:31
  Speaker 1: You and you? And Population Fund has a couple of
• 1:26:33
  Speaker 1: things here. There's another one measuring technology facilitated gender based
• 1:26:37
  Speaker 1: violence a discussion paper. Again, technology facilitated gender based violence
• 1:26:45
  Speaker 1: just sounds like somebody picked up my laptop computer and
• 1:26:47
  Speaker 1: hit me in the head with it. That's technology facilitated.
• 1:26:52
  Speaker 1: And only if they did it because I'm a woman,
• 1:26:55
  Speaker 1: right right, Uh, but cly.
• 1:27:01
  Speaker 2: To you because they think your remains so it's all.
• 1:27:05
  Speaker 1: Good, and that's not gender based violence because I'm an MRA. Right,
• 1:27:15
  Speaker 1: these people are pathetic. M h. Then we have let's
• 1:27:21
  Speaker 1: see violence against women and Girls code of Practice again
• 1:27:28
  Speaker 1: by the end, violence against Women Coalition, glitch ye refuge.
• 1:27:34
  Speaker 1: Now here we go. Carnegie, which is the Carnegie Foundation,
• 1:27:40
  Speaker 1: is part of the wealth establishment, the big money establishment
• 1:27:44
  Speaker 1: uk NSPCC five Rights Professor Claire McGlenn and Professor Lorna Woods,
• 1:27:50
  Speaker 1: meaning that this was an establishment piece, direct establishment piece,
• 1:27:57
  Speaker 1: totally not biased though, right, And then I want to
• 1:28:04
  Speaker 1: remind you they are where is it? They are defining
• 1:28:13
  Speaker 1: online gender based violence as a subset of technology facilitated
• 1:28:20
  Speaker 1: gender based violence, which refers to any act that is committed, assisted, aggravated,
• 1:28:27
  Speaker 1: or amplified by the use of information communication technologies or
• 1:28:31
  Speaker 1: other digital tools that results in or is likely to
• 1:28:36
  Speaker 1: result in physical, sexual, psychological, social, political, or economic harm,
• 1:28:42
  Speaker 1: or other infringements on rights and freedoms, which basically means
• 1:28:47
  Speaker 1: anything you say that upsets someone.
• 1:28:56
  Speaker 3: Canon will be used a kiinst you in the court
• 1:28:58
  Speaker 3: of the mins, you in public opinion.
• 1:29:03
  Speaker 1: And if they're saying we need something like that in
• 1:29:06
  Speaker 1: the US, we don't. We already have a law that
• 1:29:09
  Speaker 1: covers engaging in criminal violence using technology. There is a
• 1:29:15
  Speaker 1: section of Vahwah that when you read it, one of
• 1:29:22
  Speaker 1: the things that it says constitutes stalking is using any
• 1:29:28
  Speaker 1: type of technology within the United States to engage in
• 1:29:35
  Speaker 1: a course of conduct toward another person in the United
• 1:29:38
  Speaker 1: States that could be reasonably expected to cause substantial emotional
• 1:29:44
  Speaker 1: distress or cause them to fear for their lives or
• 1:29:50
  Speaker 1: the lives of any of their friends or family members
• 1:29:53
  Speaker 1: living with them in their home. And so basically, the
• 1:29:58
  Speaker 1: people that posted my address, if they had continued to
• 1:30:04
  Speaker 1: do a bunch of bullshit like that, I could have
• 1:30:08
  Speaker 1: pursued charges if we could find out who they were,
• 1:30:11
  Speaker 1: if they were in the US. No, we aren't going
• 1:30:19
  Speaker 1: to go through this entire report, but I wanted you
• 1:30:23
  Speaker 1: to see is this is the bias through which this
• 1:30:27
  Speaker 1: report was done. Right. They already have a set of goals,
• 1:30:32
  Speaker 1: they already have their glossary describes things in a particular way.
• 1:30:38
  Speaker 1: They say things like misogyny operates to uphold a patriarchal
• 1:30:43
  Speaker 1: social order. So it's not just if you hate women,
• 1:30:47
  Speaker 1: it's if you support anything that feminists identify as a
• 1:30:56
  Speaker 1: patriarchal social order. If you promote any kind of gender
• 1:31:02
  Speaker 1: norm say, most people are not the sufferers of gender dysphoria,
• 1:31:12
  Speaker 1: and therefore most people are not naturally trans even if
• 1:31:16
  Speaker 1: people who suffer gender dysphoria are right, just saying that
• 1:31:22
  Speaker 1: would be upholding a patriarchal social order because that's a
• 1:31:26
  Speaker 1: gender norm. But they can promote the gender norm that
• 1:31:32
  Speaker 1: men are violent because most violent criminals are men.
• 1:31:36
  Speaker 4: Right, So let's see, I don't know if well, we
• 1:31:45
  Speaker 4: will start the next episode.
• 1:31:50
  Speaker 1: This isn't what I was after, is it?
• 1:31:52
  Speaker 5: No?
• 1:31:54
  Speaker 1: Uh? Yeah, it is okay, So you and when women
• 1:32:03
  Speaker 1: in equamundo. This is this was from this last paragraph here, right.
• 1:32:11
  Speaker 1: This research is being used to claim that there is
• 1:32:13
  Speaker 1: a pathway between talking about men's issues and online gender
• 1:32:20
  Speaker 1: based violence. Besides the pathway that gets people to call
• 1:32:26
  Speaker 1: me a man and think that that's an insult.
• 1:32:29
  Speaker 3: Equamundo sounds like a feminist lucha libre character.
• 1:32:38
  Speaker 6: Uh but but Ricochet Sorry anyway, Yeah, it does, it
• 1:32:50
  Speaker 6: really does.
• 1:32:52
  Speaker 1: So what what are they doing with this? They have
• 1:32:54
  Speaker 1: this Act to End Violence against Women and Girls program.
• 1:33:00
  Speaker 1: So this is what we are going to look at next.
• 1:33:03
  Speaker 1: We'll look at that, and then we'll look at how
• 1:33:05
  Speaker 1: to counter the Manisphere's toxic influence, but not next week.
• 1:33:13
  Speaker 1: Next week I will be traveling. I have to leave
• 1:33:16
  Speaker 1: for the airport early because I have to be in
• 1:33:20
  Speaker 1: there in the middle of the night and I don't
• 1:33:22
  Speaker 1: want to drive there in the middle of the night,
• 1:33:24
  Speaker 1: so I'm going to be going in the evening, which
• 1:33:28
  Speaker 1: means I won't be able to do HBr talk. So
• 1:33:32
  Speaker 1: next week there is a meetup in Calgary.
• 1:33:37
  Speaker 5: Me.
• 1:33:38
  Speaker 1: We have a blog post about this, and I don't
• 1:33:42
  Speaker 1: know if I have that eat quickly accessible. I don't
• 1:33:50
  Speaker 1: think I do, but I'll have to republish the post
• 1:33:58
  Speaker 1: tonight about about our meetup on the honey badger Rigade
• 1:34:03
  Speaker 1: dot com blog. Uh. But we will be meeting up
• 1:34:08
  Speaker 1: in Calgary. The details will be on the blog. The
• 1:34:12
  Speaker 1: meetup is on Saturday, not this Saturday, but next Saturday.
• 1:34:17
  Speaker 1: Uh and uh I will be there. So I think
• 1:34:20
  Speaker 1: Mike's also going to be there.
• 1:34:22
  Speaker 3: Yes he is. He is absolutely going to be there
• 1:34:26
  Speaker 3: and less SA decides to UH block him for some
• 1:34:31
  Speaker 3: stupid reason like last time. But yes, no, he is
• 1:34:36
  Speaker 3: definitely planning to be there. So unfortunately I will not.
• 1:34:40
  Speaker 3: I will be in it in Georgia, but I wish
• 1:34:45
  Speaker 3: I had new known sooner, because I definitely would have
• 1:34:49
  Speaker 3: made those plans instead of the plans that I had.
• 1:34:51
  Speaker 2: But you guys will have a great time.
• 1:34:55
  Speaker 1: And yeah, I think Bryan's also going to be there. Yeah,
• 1:35:00
  Speaker 1: I can't hear brian answers, but I can't, but I'm
• 1:35:04
  Speaker 1: pretty sure Brian's going to be there, and obviously Allison's
• 1:35:08
  Speaker 1: going to be there. Karen should have no problem getting
• 1:35:10
  Speaker 1: there either, so they don't have to cross any any
• 1:35:16
  Speaker 1: national borders to get there. So but yeah, that is
• 1:35:22
  Speaker 1: what I'm going to be doing next week, and therefore
• 1:35:24
  Speaker 1: I will not be hosting HBr Talk next week. So
• 1:35:27
  Speaker 1: next week, if anything is being done, I don't even know.
• 1:35:30
  Speaker 1: Brian might be traveling that day too if he's going,
• 1:35:33
  Speaker 1: so chances are there will not be a show on
• 1:35:38
  Speaker 1: Thursday night, but we'll be doing things during that weekend
• 1:35:42
  Speaker 1: and there may be some surprises. So watch Honeybadger Brigade
• 1:35:49
  Speaker 1: dot com for I'll probably have it published in the morning,
• 1:35:55
  Speaker 1: more most likely around eight am Eastern Standard time or
• 1:36:02
  Speaker 1: because it's not daylight savings yet, so she should be
• 1:36:06
  Speaker 1: able to see that, and it'll just have the same
• 1:36:09
  Speaker 1: details that Alison gave in the last post that she
• 1:36:13
  Speaker 1: had me post, and there you go, there's the information
• 1:36:18
  Speaker 1: on that. I don't know if I have any other
• 1:36:22
  Speaker 1: super I do. Richard Beierre gave us five dollars and
• 1:36:27
  Speaker 1: said the output from GROC is a mirror of what
• 1:36:29
  Speaker 1: input was fed into it. So when GROC started noticing
• 1:36:32
  Speaker 1: certain patterns, someone had to ask just how many patterns
• 1:36:36
  Speaker 1: or fed in as input. It really doesn't even comprehend
• 1:36:40
  Speaker 1: the actual meanings of the words fed in. It just
• 1:36:43
  Speaker 1: has a model of how to string various words together
• 1:36:45
  Speaker 1: into sentences. It's an interesting thing too. It's got a
• 1:36:49
  Speaker 1: search engine, so if you ask it an open ended question,
• 1:36:54
  Speaker 1: it will just openly search. And it seems to be
• 1:36:57
  Speaker 1: similar but not entirely the same as like it goes
• 1:37:03
  Speaker 1: through Google, and it it does pick up things that
• 1:37:09
  Speaker 1: Google doesn't find, so it obviously does its own searching
• 1:37:13
  Speaker 1: as well. But you can, I've noticed you can provide
• 1:37:20
  Speaker 1: it with more information. It does do math, it's like
• 1:37:27
  Speaker 1: it it operates as a calculator. It and it does
• 1:37:30
  Speaker 1: use It does use logic functions because it is able
• 1:37:37
  Speaker 1: to like account for things that like if you just
• 1:37:41
  Speaker 1: put the numbers into even a complex calculator you're not
• 1:37:45
  Speaker 1: going to get what it gave me, for instance, about
• 1:37:50
  Speaker 1: the rate of violent crime perpetration among the general public
• 1:37:56
  Speaker 1: among men of the general public. So it does have
• 1:38:02
  Speaker 1: some more functions besides repeating what it's been fed, but
• 1:38:09
  Speaker 1: people do attribute a lot more to it than it
• 1:38:14
  Speaker 1: actually has. Like what it does isn't what I would
• 1:38:18
  Speaker 1: consider to be thinking, right, So if you give it
• 1:38:22
  Speaker 1: a lot of information, it can analyze for a variety
• 1:38:28
  Speaker 1: of things, and yeah, it will notice patterns, and some
• 1:38:33
  Speaker 1: of those patterns are politically incorrect to notice. Some of
• 1:38:37
  Speaker 1: them aren't as meaningful as people think they are either.
• 1:38:43
  Speaker 1: And it's similarly to like the apex fallacy that applies
• 1:38:48
  Speaker 1: to men, where feminists treat the percentage of men involved
• 1:38:54
  Speaker 1: in leadership positions as evidence that all men are benefiting
• 1:38:59
  Speaker 1: from pig chy, even though most men are abused by
• 1:39:04
  Speaker 1: the men in leadership positions. It's a similar thing when
• 1:39:09
  Speaker 1: you look at you know, who's the majority of perpetrators
• 1:39:13
  Speaker 1: of certain types of crimes, who is on the boards
• 1:39:17
  Speaker 1: of most companies. It doesn't matter whether you're talking about men,
• 1:39:22
  Speaker 1: or whether you're talking about a religious group, or whether
• 1:39:25
  Speaker 1: you're talking about people of a particular sexuality or whatever.
• 1:39:29
  Speaker 1: You know, talking about overrepresentation doesn't mean anything when it
• 1:39:36
  Speaker 1: comes to discussing the general population of a group, and
• 1:39:39
  Speaker 1: that fallacy is used to justify pretty much every prejudice
• 1:39:45
  Speaker 1: out there, one way or another. For every apex fallacy,
• 1:39:51
  Speaker 1: there's a bottom of the barrel fallacy that goes right
• 1:39:54
  Speaker 1: along with it, and it's it's all bullshit. Everyone that
• 1:39:59
  Speaker 1: does it is wrong. But you can get Grock to
• 1:40:03
  Speaker 1: do it too well, you can't now because they've they've
• 1:40:07
  Speaker 1: they kind of nerved it. And the thing that really
• 1:40:11
  Speaker 1: bugs me about it is the way that they nerved it.
• 1:40:16
  Speaker 1: It didn't necessarily keep it from engaging in apex fallacies.
• 1:40:21
  Speaker 1: It just selectively eliminated one. And it'll still it'll still
• 1:40:28
  Speaker 1: do like the patriarchy apex fallacy. It'll repeat that. And
• 1:40:35
  Speaker 1: I've gotten it. I've taken it through information and logic
• 1:40:40
  Speaker 1: that demonstrates that the patriarchy apex fallacy is wrong, and
• 1:40:48
  Speaker 1: it's it's unfounded and definitely unproved. But the next time
• 1:40:55
  Speaker 1: that you talk to it, because even though it remembers
• 1:40:57
  Speaker 1: your conversations, it doesn't necessarily remember its conclusions and all
• 1:41:02
  Speaker 1: of that, it doesn't retain what is right and what
• 1:41:06
  Speaker 1: is wrong from the last conversation, and like it'll still
• 1:41:10
  Speaker 1: promote feminist patriarchy theory because that that is the information
• 1:41:16
  Speaker 1: that it can find online in sources that are considered authoritative.
• 1:41:23
  Speaker 1: So there's there's kind of a there's a there's still
• 1:41:27
  Speaker 1: a lot of issues with it. It's useful, but you
• 1:41:30
  Speaker 1: really have to know how to use it. You have
• 1:41:31
  Speaker 1: to be able to kind of cross examine it as
• 1:41:36
  Speaker 1: opposed to just talking to it, and people talk to
• 1:41:39
  Speaker 1: it like it's a person, and it's it's a large
• 1:41:43
  Speaker 1: language model. It's not a person.
• 1:41:45
  Speaker 2: It just.
• 1:41:47
  Speaker 1: Puts together information. It has some logic functions that allow
• 1:41:52
  Speaker 1: some analysis, but its search function is not in depth
• 1:41:59
  Speaker 1: enough that without your direction, it will find out a
• 1:42:05
  Speaker 1: well rounded scope of information for analysis. You have to
• 1:42:12
  Speaker 1: help it with that because it's like it's been nerved.
• 1:42:19
  Speaker 1: So in any case, thanks for the super super chow.
• 1:42:24
  Speaker 1: I didn't see any super chats. I don't know if
• 1:42:28
  Speaker 1: I missed any. I'm gonna scroll back up here, but
• 1:42:31
  Speaker 1: I don't think there's any Wait, Nope, that's just my
• 1:42:36
  Speaker 1: computer making flashes at me. It decided it wanted to
• 1:42:44
  Speaker 1: update in the middle of the show. And I told
• 1:42:50
  Speaker 1: it no, So now it's mad. So it's gonna update
• 1:42:56
  Speaker 1: after the after show, which we're about to go right into.
• 1:43:00
  Speaker 1: So no superchows or no other superchows, no super chats,
• 1:43:03
  Speaker 1: no rumble rants. We are done for the night. Thanks
• 1:43:07
  Speaker 1: everybody for listening. Two weeks we'll be back. We'll talk
• 1:43:10
  Speaker 1: about this, this Act to End Violence against Women. This
• 1:43:15
  Speaker 1: is interesting too. Gotta say this. Feminists and feminists worldwide.
• 1:43:21
  Speaker 1: Feminist groups from the smallest little girly coffee shop club
• 1:43:28
  Speaker 1: to national organizations like the National Organization for Women to
• 1:43:33
  Speaker 1: international organizations like You and Women, have made themselves the
• 1:43:40
  Speaker 1: arbiters of the fight against domestic violence, and they have
• 1:43:45
  Speaker 1: gendered it for fifty years and they have come no
• 1:43:52
  Speaker 1: closer to solving the problem in half a century. Nothing
• 1:43:57
  Speaker 1: has changed place, that have changed, but the behavior hasn't changed.
• 1:44:05
  Speaker 1: Obviously what they are doing is not right, but just saying.
• 1:44:10
  Speaker 1: But we're gonna go over this in a couple of weeks.
• 1:44:12
  Speaker 1: We'll see what they have to say and what we
• 1:44:15
  Speaker 1: have to say, and then it will be that. Thanks
• 1:44:20
  Speaker 1: to Lauren for going through this with me. Thanks to
• 1:44:23
  Speaker 1: Brian for helping to keep this running in the background.
• 1:44:27
  Speaker 1: And everyone else who works in the background and make
• 1:44:29
  Speaker 1: HBr talk happen in good night all.
• 1:44:31
  Speaker 2: Didn't that, y'all