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Speaker 1: Hello the Internet, and welcome to Season three, twenty four,

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Speaker 1: Episode two of Dally's Dice Yeah Seductive production of iHeartRadio.

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Speaker 1: This is the podcast will we taking deep dive into

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Speaker 1: America's share consciousness America. It's Tuesday, February sixth, twenty twenty four.

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Speaker 1: Oh boy, this is this is one of the furthest

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Speaker 1: we've recorded in advance.

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Speaker 2: Well, guess what you know what it is? Shout out

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Speaker 2: to all my chopsticks users because it's National Chopsticks Day.

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Speaker 2: It's Safer Internet Day in the US. I'm not sure

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Speaker 2: what that means. It's National fro Yo Day and uh yeah,

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Speaker 2: that's it.

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Speaker 1: Look at you still out here.

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Speaker 2: Royo ever had fro yo with chopsticks?

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Speaker 1: That's what waited all I do on this day to celebrate.

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Speaker 2: It's an act and speed eating because once that ship melts,

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Speaker 2: it's you can't do anything with the chopsticks.

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Speaker 1: Yeah, maybe you could, like you know how cat's tongue

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Speaker 1: can like kind of scoop it, like right, basically defy gravity.

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Speaker 1: Maybe with the right kind of speed and movement of

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Speaker 1: the chop sticks, you could like made it kind of flowing.

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Speaker 2: Yeah yeah, yeah, or do like the way dogs drink,

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Speaker 2: you know, by crowing their tongue backwards to scoop the

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Speaker 2: water in their mouth. Have you seen that video?

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Speaker 1: Yes, and I think that's what I was thinking of it.

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Speaker 1: I just have trouble of telling Captain dogs apart.

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Speaker 2: Well, just what you have to cut that lingual frenulum,

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Speaker 2: you know what I mean, because you can really black

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Speaker 2: that water up like a canine.

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Speaker 1: Well, my name is Jack O'Brien aka peas my Jackie

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Speaker 1: Pie pacey white ass about ten miles wide. Looks so

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Speaker 1: good with those grown man thighs, sweet Jackie Pie.

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Speaker 3: Yeah.

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Speaker 1: Courtesy of Macaroni on the Discord Man, ask a guy

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Speaker 1: out before you sing, write a song about his sweet

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Speaker 1: sweet dump truck ass like that, Lacaroni, Damn are we dating?

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Speaker 3: No?

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Speaker 1: Thank you for that as always, and I'm thrilled to

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Speaker 1: be joined as all. Buy my co host mister Miles.

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Speaker 2: Gray and me Tiny Drag Djay on it on the Highway.

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Speaker 1: Wow. When I laid down sheets on dream and I

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Speaker 1: had to I guess the again with Shane.

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Speaker 2: Okay, shout out Christy Yamaguchi, Maine, reflecting my dreams seemless,

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Speaker 2: they still happen. They still happen.

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Speaker 1: I no longer know the lyrics to Tiny Dancer. Entertain

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Speaker 1: that those are the lyrics to Tiny Dancer. Now, well,

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Speaker 1: get Christy.

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Speaker 2: We missed you. We miss you, Yamagucci mane let us like,

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Speaker 2: come on, man let me ks. I know you're busy.

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Speaker 1: I miss Yamagucci.

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Speaker 2: May Yeah, I missed the.

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Speaker 1: All right, well, Miles. We're thrilled to be joined in

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Speaker 1: our third seat by a digital research analyst at the

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Speaker 1: Institute for Strategic Dialogue, where she researches online hate, extremism,

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Speaker 1: disinformation in the US. It's being world.

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Speaker 2: Hey, thanks for welcome. Oh, thank you for stopping by,

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Speaker 2: Thank you for being here on our silly show. Yeah,

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Speaker 2: to talk about serious things because it's a big year

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Speaker 2: ahead in twenty twenty four. From what I hear what

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Speaker 2: I'm hearing, it sounds like people.

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Speaker 1: Keep saying that, and I'm like, what, like, why, what's

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Speaker 1: so big?

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Speaker 2: What's going on? Is it because of the super Bowl?

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Speaker 2: Because a Super Bowl every year?

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Speaker 4: I was I was already involved in politics in twenty

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Speaker 4: twenty and that was probably one of the most strustful

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Speaker 4: years of my life.

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Speaker 5: Hands down, it was non stop.

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Speaker 4: I think I had like four or five just straight

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Speaker 4: like seven day weeks in the office till one two

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Speaker 4: in the morning, ordering food, getting rashes from the stress.

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Speaker 5: It was just awful. I can't going to be it was.

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Speaker 4: It was mostly just all the prep work, all of

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Speaker 4: the like because I'm researched extremism vaguely then, and it

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Speaker 4: was like getting all of the seed lists to get

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Speaker 4: all to get in all the groups, to get all

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Speaker 4: the discord chats to kind of make the way so

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Speaker 4: when things kind of popped off, yeah, but things popped

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Speaker 4: off then, like I.

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Speaker 1: Was in it, yeah, yeah, right.

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Speaker 2: I'm always amazed at, like, you know, people like you

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Speaker 2: and your colleague Jared Holt, who we've had on the

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Speaker 2: show many times and he was like you got to

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Speaker 2: talk to Sab and he got under Like of course

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Speaker 2: then if you say, Joe, like, we love the work

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Speaker 2: you do. But I'm always amazed at like how people

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Speaker 2: get into monitoring extremism, Like what how what was your

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Speaker 2: journey there? Like what were you doing Like I know

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Speaker 2: you said twenty twenties when you start to getting into it,

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Speaker 2: what were you doing in like twenty eighteen, Like was

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Speaker 2: things very different or what was your sort of path

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Speaker 2: into this kind.

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Speaker 4: Of work really funny. I actually started doing this as

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Speaker 4: a joke. I was in college in twenty eighteen, twenty nineteen.

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Speaker 4: I was in anthropology major. I recently switched and in

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Speaker 4: Cells were like the big laughing stock punching back to

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Speaker 4: the Internet at the time. I think Contra Points had

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Speaker 4: her video on in Cells and I was like obsessed

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Speaker 4: with it, and so from my thesis, I was like, Oh,

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Speaker 4: how about what if I did like a funny ethnography

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Speaker 4: on like the inner lives of in cells, like as

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Speaker 4: a goof for my the It doesn't matter, I'm already

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Speaker 4: gonna graduate. I did it, and then I That was

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Speaker 4: December twenty nineteen, and then I looked for just in

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Speaker 4: twenty twenty January and I got picked up by GQR,

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Speaker 4: which is like a polling consortium, and they were looking

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Speaker 4: for researchers who already knew about that kind of under

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Speaker 4: CD underbelly of the Internet stuff. And I got picked

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Speaker 4: up immediately after that and then worked for the whole

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Speaker 4: election season and I ended up becoming my career path

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Speaker 4: fully on accident.

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Speaker 2: Yeah, and are you embracing that? I know you say

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Speaker 2: like it's on accident, but I mean, like it. I

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Speaker 2: fell in love with.

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Speaker 4: The field and the people are really great, and it

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Speaker 4: just ended up being a really good mix for me.

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Speaker 1: Right, something tells me you're a pretty good student when

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Speaker 1: you do a thesis as a goof and get away

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Speaker 1: with it. I'm like, damn, this is really fucking good

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Speaker 1: and killed that thesis. Maybe you want to do this

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Speaker 1: for a living him? Yeah, yeah, that's amazing. Well, we're

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Speaker 1: gonna talk to you in a in a moment about

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Speaker 1: the upcoming election. That's why people Okay, yeah.

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Speaker 2: It makes sense.

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Speaker 1: There's an election coming up. That's I get it right, right,

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Speaker 1: ye ye, we'll talk about that how election denihalism is

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Speaker 1: still a thing, whether or not another January sixth is imminent.

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Speaker 1: But before we get into it, we do like to

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Speaker 1: get to know our guests a little bit better by

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Speaker 1: asking them what is something from your search history SA

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Speaker 1: being that is revealing about who you are or what

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Speaker 1: you're up to.

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Speaker 4: Hmm, that's a great question. I actually I went on

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Speaker 4: a major deep dive. There was a recent video that

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Speaker 4: came out, I think from Jacob Galler about the Pinocchio

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Speaker 4: stories and history of Pinocchio. So I've been watching a

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Speaker 4: bunch of movies about Pinocchio specifically, and like interpretations through

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Speaker 4: different directors and artists. And so I have been like

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Speaker 4: weirdly upset with with all the kind of like mannikinny

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Speaker 4: I guess existential savements about life and death and everything.

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Speaker 4: And I've been like going through video essay like rabbit

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Speaker 4: holes about that for at least three or four days.

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Speaker 1: Now, Oh, tell me tell me more, Like, so, what

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Speaker 1: is an overall thesis that like first captured you on

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Speaker 1: on the subject of Pinocchio, Like, what there's more to

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Speaker 1: it than meets the eye?

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Speaker 4: Yeah, I think it's the fact that like it. I

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Speaker 4: think I think there's a quote that he says where

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Speaker 4: it's like we cannot fathom a world without the sense

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Speaker 4: of the Pinocchio story, Like we can't imagine it anymore

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Speaker 4: because it the wooden Boy, because he ends up being

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Speaker 4: like a kind of vessel of all human sins or

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Speaker 4: like human misbehavior, and the whole morality tale is like

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Speaker 4: how to be not only a good person, but a

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Speaker 4: person you have to like fully understand him to fully

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Speaker 4: understand how to be human being.

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Speaker 5: It's really really interesting.

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Speaker 2: Wow, So what about Jim and Eye Cricket? Though?

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Speaker 5: I think he's just cute and fun.

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Speaker 2: Okay, I was like, is there a deeper thing? I

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Speaker 2: just love Jimminy Cricket. No, Jimmy Crickett Satan, you didn't know.

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Speaker 2: I mean, he's like, come on, he's there tempted.

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Speaker 4: No.

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Speaker 1: Yeah, in the new camera Germo del Toro Pinocchio. Yeah,

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Speaker 1: even motherfucker dies and like goes to Hell or like spoilers,

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Speaker 1: I guess why. Like an existentially dense text, it's pretty

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Speaker 1: it's pretty wild, Like, I mean, there are multiple children

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Speaker 1: deaths within the first half of the film, and.

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Speaker 2: Are they all going to at double hockey Sticks? I

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Speaker 2: don't know.

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Speaker 1: I guess he doesn't go to and you know what.

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Speaker 1: To be honest, I watched it on a plane that

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Speaker 1: landed right when he got to Hell. So I haven't

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Speaker 1: completed the film. Okay, Okay, that's right, So I don't

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Speaker 1: know where exactly it goes. But the whole thing it's

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Speaker 1: funny because I've been obsessed with death a little bit lately,

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Speaker 1: and just how much of everything is just has the

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Speaker 1: preoccupation with our own mortality and impermanence at its heart

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Speaker 1: is kind of wild. Like the second you start thinking

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Speaker 1: about something, you're like, oh yeah, that's about death, and

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Speaker 1: that's about death, and oh yeah, that's also about death.

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Speaker 1: But Pinocchio. Pinocchio is a big one. You know. It's

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Speaker 1: one of the questions. Like, that's a movie that my

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Speaker 1: kids kind of we tried to start watching it. They're

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Speaker 1: five and seven. They were like, yeah, kind of over it.

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Speaker 1: But I think if they had stuck with it, they

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Speaker 1: would have been compelled because they have a lot of

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Speaker 1: questions about death at that at that age, you know,

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Speaker 1: five and seven, Like, yeah, Disney was onto something like

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Speaker 1: that when you're like, wait a second.

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Speaker 2: Do they did? They ask a question? Will I die?

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Speaker 1: Will you? Milen?

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Speaker 2: No, No, like they asked, well, well, oh my Miles

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Speaker 2: he gonna die.

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Speaker 1: Miles won't die. Will I don't know, maybe I remember that.

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Speaker 2: I remember like when I had that realization. I asked

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Speaker 2: my mom. I was like will I Like will I?

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Speaker 2: I was like, yeah, you're gonna die. I'm gonna die, Yeah,

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Speaker 2: Grandma's gonna die. And I was like, fucked me up

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Speaker 2: so bad. But that was just sort of that like

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Speaker 2: brute brutal honesty that only an Asian mom can give

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Speaker 2: you at that time, just straight to the face.

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Speaker 1: Yeah, yeah, that's a that's a tough one. I remember, yeah,

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Speaker 1: being awake in my bed when I was like seven

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Speaker 1: and just being like I can't I can't like conceptualize

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Speaker 1: because I grew up Catholic and I was just like eternity,

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Speaker 1: like doesn't really make sense because everything else is like finite.

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Speaker 1: And I was like up crying, and my mom was like,

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Speaker 1: in retrospect, I feel so bad for her, just like

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Speaker 1: I don't fucking know.

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Speaker 2: Man, Like, yeah, we gotta stop going to mask was

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Speaker 2: gonna go to you?

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Speaker 1: I can't go for wherever?

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Speaker 2: Sabine, did you have a moment of clarity like that

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Speaker 2: where you got in touch with your own mortality as

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Speaker 2: a child.

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Speaker 4: I know when I was really little, kind of towards

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Speaker 4: when I was like until ten eleven, I was terrified

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Speaker 4: of almost everything, like pathologically afraid of most things. And

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Speaker 4: I think for Halloween one year, my mom got me

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Speaker 4: a book about bones and how bones work, and there's

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Speaker 4: an image in the middle of it where it's like

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Speaker 4: a human flesh sack, like completely lived with no bones

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Speaker 4: in it, and it was like this how.

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Speaker 5: You would be if you didn't have any bones in you?

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Speaker 5: Did you know?

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Speaker 4: And that freaked me out so much that I essentially

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Speaker 4: decided to become a skeleton for Halloween. But it ended

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Speaker 4: up kind of turning, I think because it was like

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Speaker 4: a I got to be learned something new, and also

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Speaker 4: like I could see that the inherent horror of being

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Speaker 4: alive isn't is sometimes worse than just being dead. And

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Speaker 4: so now I have a really strong love of horror

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Speaker 4: and love of like gothic like themes and like works

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Speaker 4: because I now like knowing how your body can be

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Speaker 4: when you're still alive, but it sucks majorly, is like

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Speaker 4: that does not bore. Having no bones just seem so bad, right.

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Speaker 2: It's also just like yeah, I mean, like I think

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Speaker 2: in Western culture there's just like that sort of the

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Speaker 2: sort of baseline is being like Mandeth. It is like

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Speaker 2: so fucked up, like oh my god, I don't want to,

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Speaker 2: don't want to, don't want it, whereas like culturally in

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Speaker 2: many other places it's like, yeah, that's bring it on,

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Speaker 2: like it happens and that's just part of what it is.

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Speaker 2: That's kind of the deal, and use that to sort

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Speaker 2: of motivate you to really enjoy or do as much

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Speaker 2: good as you can. Well, the party's still rocking.

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Speaker 1: I mean the whole capitalist system I think, at least

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Speaker 1: partially is fueled by an inherent inability to deal with

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Speaker 1: our own mortality and like, so it's like fueled by

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Speaker 1: people trying to outrun death basically, which is impossible to outrun.

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Speaker 1: So it's like one of the great fuel sources that

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Speaker 1: you can come up with, like create a system of

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Speaker 1: beliefs and that like thoroughly like doesn't tangle with death.

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Speaker 1: And then people are going to just be going as

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Speaker 1: hard as they possibly can towards like trying to consume

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Speaker 1: and acquire their way out of like thinking about it.

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Speaker 2: I mean when I look at Congress, I don't see

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Speaker 2: that at all at all.

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Speaker 1: Now they're killing it. No, not at all, quite literally

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Speaker 1: killing it. Sabin, What is something that you think is overrated?

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Speaker 4: I feel like so I originally went to school for

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Speaker 4: zoology and I end up having to switch later. I

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Speaker 4: think people whose favorite animals is a mammal is any mammal.

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Speaker 4: I'm like, mammals are super overrated as a favorite animal.

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Speaker 4: The lions, the giraffe, the hippos. I am an insect.

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Speaker 4: Girly love love worms. I love polycute worms. They are

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Speaker 4: in the bottom of the ocean. I feel like a

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Speaker 4: lot of animals most animals aren't mammals, so I feel

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Speaker 4: like they don't ever get enough lover appreciation. Mammals are

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Speaker 4: always the face of every conservation campaign, every save the

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Speaker 4: environment campaign.

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Speaker 5: I am her slily tired of it.

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Speaker 2: Mm wow men. And now I'm like, now I'm like

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Speaker 2: actually challenging myself to be like, what would my favorite

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Speaker 2: like non mammal life form be? And the first thing

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Speaker 2: I thought of was like a trilla byte.

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Speaker 1: Yeah, I don't know.

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Speaker 2: Why that was like in my mind, I'm like, yeah,

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Speaker 2: I think with a trilla good answer. Good answer.

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Speaker 1: We just had the family feud.

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Speaker 2: Yeah, trilla byte. They're like, no, nobody's trilobite is not

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Speaker 2: on the board.

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Speaker 1: Wait, now I have to look up trilla bite. I

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Speaker 1: think I know what it is.

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Speaker 5: It's a fossil.

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Speaker 4: It's it's now extinct, almost like an isopod.

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Speaker 2: Yeapods are Yeah, I've always been into them.

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Speaker 1: When you bring the ones that exist now, the like

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Speaker 1: giant sea bottom roly Polley's uh, which I think is

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Speaker 1: the scientific name. Yeah, I know you went for that.

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Speaker 1: That is the technical term. The ones look like really

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Speaker 1: polyis but like when you take them up and they're

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Speaker 1: like not in the pressure at the pressure of the

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Speaker 1: bottom of the ocean, they just like blow up and

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Speaker 1: they're so scary. That's a great answer. That's one of

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Speaker 1: the wildest animals that I've ever seen.

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Speaker 2: Jack, what's your favorite non mammal animal?

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Speaker 1: I mean, probably the great white shark.

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Speaker 5: Yeah.

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Speaker 2: I should have known, Yeah, shock, no.

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Speaker 1: One, but I've just been you know, ever since shows. Yeah,

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Speaker 1: but I like whales a lot because of how like

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Speaker 1: they're technically mammals but so different from humans that like

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Speaker 1: they give us a weird look at like how how

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Speaker 1: different things could have gone.

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Speaker 5: Yeah, they used to be wolves. Straight up, they were

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Speaker 5: wolves and they evolved back into being aquatic. It's crazy,

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Speaker 5: what Yeah they used to be. They're like the like

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Speaker 5: if you look it up, it's like an.

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Speaker 4: Evolution arre where it's like, yeah, the you know, animal

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Speaker 4: leaves the water, goes to land, becomes like mammal and

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Speaker 4: that's this weird wolf like kind of striped creature and

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Speaker 4: that kind of ends up being like a primarily a

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Speaker 4: quad hunter and would go back and hunt so often

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Speaker 4: and just living there permanently, which is why it has

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Speaker 4: all the same like it has like like whales have

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Speaker 4: wrists and like fingers inside their fins because they used

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Speaker 4: to be war.

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Speaker 2: Right, because they had right right right. That's oh shit.

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Speaker 2: I never even thought about that because whenever you see

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Speaker 2: like a whale skeleton, you're like, why I got them

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Speaker 2: little digits under the right, what you're doing too much, whale?

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Speaker 2: But now I'm realizing it's this is wild to look at, jack,

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Speaker 2: just this whole evolution of cetace.

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Speaker 5: Yeah, the top that the carnival they used to be.

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Speaker 1: Yeah, wow, Yeah they started out like muskrats and then

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Speaker 1: they just went into the ocean and wow, that's pretty wild.

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Speaker 2: So being you're fucking killing it right now, fucking me up,

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Speaker 2: fucking up my Christmas right now.

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Speaker 1: And I love it there when you look at like

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Speaker 1: a batswing and you see that it's just a hand

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Speaker 1: like spread out super far, and like the whole thing

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Speaker 1: is like the little skin in between your fingers, but

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Speaker 1: just like stretched out super far. That always fucks me up.

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Speaker 2: A No, that's a hand right there. Man's just a

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Speaker 2: big hand. Man.

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Speaker 1: Yeah, that would be some sicket hoops? What is uh?

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Speaker 1: What's something you think is underrated?

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Speaker 4: I know if you guys are on like book talk

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Speaker 4: or whatever, like people will go on TikTok and recommend

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Speaker 4: different books. I feel like there are so many classic

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Speaker 4: novels that, even though their classics are underrated, Like I

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Speaker 4: recently read Rebecca for the very first time. It's like

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Speaker 4: the nineteen thirties. It's about a woman who like remarries

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Speaker 4: a guy whose ex wife is dead and she has

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Speaker 4: to like live in her shadow. It's a crazy good book.

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Speaker 4: I've never heard anyone in my life ever talk about it,

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Speaker 4: and I'm honor role of like reading classics that aren't

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Speaker 4: like the ones you have to read for school. They're

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Speaker 4: kind of just like out in the ether and they're

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Speaker 4: genuinely mine, like like changing and fantastic, But because they're old,

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Speaker 4: they aren't like recommended unless you got very specific like

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Speaker 4: esthetic old timey vintage book talk circles like then they are,

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Speaker 4: but I feel like they don't get enough love even

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Speaker 4: though they are technically classics, like I don't. Like I'm

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Speaker 4: currently reading Left Heard of Darkness Let's Hand of Darkness

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Speaker 4: by Ursula Kyle Gwynn. Never heard anybody else who has

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Speaker 4: read it or talked about it before. It's like so

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Speaker 4: far an amazing book and like no one's I'm like,

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Speaker 4: I want them to talk about this one because it

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Speaker 4: feels awful to read amazing pieces of work. And there's

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Speaker 4: like two video essays on the entirety of YouTube about it.

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Speaker 5: It's like no endeavor investigated.

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Speaker 1: Right, I'm I've never read the book Rebecca. I didn't

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Speaker 1: even know there was a book Rebecca, but I am

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Speaker 1: familiar with the text because I'm an Army Hammer completist.

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Speaker 1: And he starred in the twenty twenty film Oh okay,

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Speaker 1: there's a Hitchcock film based on it, I believe.

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Speaker 5: Yeah, they'd a Hitchcock film.

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Speaker 4: And then there's a TV movie which I prefer, I

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Speaker 4: think the BBC TV movie.

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Speaker 5: It has what the dad Lanister from Game of Thrones,

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Speaker 5: Max the Winter, the main the husband.

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Speaker 2: In the story we call we just call him Tie

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Speaker 2: taiwind Lanister. I guess people know him as Charles Dance

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Speaker 2: see or Dance or whatever his name is, Charlie Dance

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Speaker 2: what I call that man can dance.

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Speaker 1: You know, I'm not huge on book talk. It's one

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Speaker 1: of the few, you know, TikTok sub cultures that I'm

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Speaker 1: not fully plugged into. I think I know that like

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Speaker 1: Moby Dick is really big on book talk, Is that right?

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Speaker 4: I think so it's for me to I know that

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Speaker 4: one of the biggest things is a Crown of Roses

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Speaker 4: and Thorns.

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Speaker 5: Akatar is like the big book top book.

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Speaker 4: It's like a really new I think fairy fay romance story.

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Speaker 4: There's a lot of romance books are popular on book talk, right.

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Speaker 4: There generally is good recommendations on there. We have to

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Speaker 4: figure out where, figure out where your niches content was,

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Speaker 4: have lists of books through exactly what.

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Speaker 5: You're looking for.

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Speaker 2: Yeah, it's interesting too because, like I know people in

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Speaker 2: the film industry who like use book talk to try

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Speaker 2: and like find new ip that they think is like

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Speaker 2: they're like, oh shit, nobody's fucking got the rights to

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Speaker 2: this book or whatever. And it's interesting to see because

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Speaker 2: people are like bibliophiles and be like, we can't just

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Speaker 2: talk about the same eighty books all the time. How

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Speaker 2: like how book talk has like actually like to your point,

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Speaker 2: like people are now like, oh right, there's there's just

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Speaker 2: so much work out there to actually comb through. But yeah,

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Speaker 2: having that ability to recommend stuff is I'm sure very helpful.

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Speaker 2: And I thought like, is that that like book chain

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Speaker 2: thing that I've seen go around? Does that? Did that

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Speaker 2: start on book talk where it's like you recommend a

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Speaker 2: book and then like you send a person a book

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Speaker 2: that you like or some shit? Do you know what

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Speaker 2: I'm talking about?

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Speaker 5: I maybe?

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Speaker 4: I honestly, I my I've been trying to cut back

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Speaker 4: on social media usage this year, so I'm like, I.

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Speaker 5: Honestly don't know.

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Speaker 2: But how do you do your job?

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Speaker 4: It's literally just for my job, and I try to

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Speaker 4: log off and do literally anything else, all.

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Speaker 2: Right, I go on nazi telegram channels and then read

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Speaker 2: a book. Let's not doing book?

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Speaker 5: That's exactly it.

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Speaker 2: Yeah, And so do you go on book talk?

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Speaker 1: And then you don't have to read the books? Right?

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Speaker 1: You can just like get them to tell you about

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Speaker 1: the books.

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Speaker 4: It's likely if the book is not that good.

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Speaker 5: I do kind of like I'm just on here.

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Speaker 4: I kind of get the big plot references from the talk,

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Speaker 4: and then log off and I don't thought reading the

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Speaker 4: book at all.

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Speaker 1: There you go, cool, so amazing, amazing, overrated, underrated, and

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Speaker 1: search history A plus Sabine. We are going to take

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Speaker 1: a quick break and then we're going to come back

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Speaker 1: and talk about what things are looking like on the

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Speaker 1: right these days, we'll be right back and we're back.

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Speaker 2: We're back.

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Speaker 1: By the way, I missed an opportunity to say one

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Speaker 1: of my favorite phrases in the English language when you

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Speaker 1: were talking about your favorite non mammal animal, so being

437
00:22:08,040 --> 00:22:12,600
Speaker 1: the worms that they go to town whenever there is a

438
00:22:12,640 --> 00:22:15,520
Speaker 1: whale fall, right, aren't they the ones that.

439
00:22:17,040 --> 00:22:18,040
Speaker 5: Those are? Hagfish?

440
00:22:18,480 --> 00:22:23,159
Speaker 1: Hagfish? Okay? Jack Wow, I went out on a limb.

441
00:22:23,280 --> 00:22:25,960
Speaker 1: I got, I got warmed up. I was stretching out

442
00:22:26,040 --> 00:22:26,680
Speaker 1: during the break.

443
00:22:27,119 --> 00:22:33,960
Speaker 3: Get ready flatliale fall drop ship, go with the hagfish

444
00:22:33,960 --> 00:22:38,280
Speaker 3: fumble jack on, Mike, Oh boy, I'm.

445
00:22:38,119 --> 00:22:41,480
Speaker 1: A no, don't edit it out. Justin it's a whale fall.

446
00:22:41,520 --> 00:22:44,760
Speaker 2: Wait, that's when the whale whale dies and then like

447
00:22:44,800 --> 00:22:48,200
Speaker 2: it creates an entire like ecosystem of food.

448
00:22:48,480 --> 00:22:53,600
Speaker 1: For it's just like massive event and like animals come

449
00:22:53,680 --> 00:22:54,280
Speaker 1: from all over.

450
00:22:54,520 --> 00:22:57,560
Speaker 2: They're like what a whale?

451
00:22:58,480 --> 00:23:02,440
Speaker 1: But yeah, watching watching hag fish devour and skeletonize a

452
00:23:02,520 --> 00:23:04,680
Speaker 1: well on the bottom of the ocean. As a Top

453
00:23:04,720 --> 00:23:09,800
Speaker 1: ten things you don't soon forget Top ten reminders that

454
00:23:09,920 --> 00:23:13,920
Speaker 1: we're all like more bro just bone bags waiting to

455
00:23:13,920 --> 00:23:16,960
Speaker 1: get We're all just bone bags waiting to be skeletonized

456
00:23:18,000 --> 00:23:22,760
Speaker 1: by time. Well, on that note, uh, let's talk about

457
00:23:22,760 --> 00:23:28,040
Speaker 1: election denihalism. Still here, folks, Still here. It's definitely hanging

458
00:23:28,080 --> 00:23:32,440
Speaker 1: around more than I would have thought, like as January

459
00:23:32,480 --> 00:23:35,840
Speaker 1: sixth was happening, and then like you know, the day

460
00:23:36,040 --> 00:23:39,119
Speaker 1: went on and people like everyone in the Republican Party

461
00:23:39,359 --> 00:23:42,440
Speaker 1: was like all right, man, like come on, obviously you lost,

462
00:23:42,560 --> 00:23:44,960
Speaker 1: Like this is this is embarrassing, and.

463
00:23:44,840 --> 00:23:49,240
Speaker 2: Yet still here. Yeah, I mean I think there it's

464
00:23:49,320 --> 00:23:52,439
Speaker 2: clearly like the beating heart that is keeping the Maga

465
00:23:52,480 --> 00:23:55,399
Speaker 2: revenge tour alive right now, is like that ill that

466
00:23:55,600 --> 00:23:59,720
Speaker 2: like the election being stolen. And at first this sort

467
00:23:59,760 --> 00:24:03,320
Speaker 2: of like something that was just like more rhetorical. We're like, yeah,

468
00:24:03,400 --> 00:24:05,280
Speaker 2: let's just say like we could say that to kind

469
00:24:05,280 --> 00:24:07,879
Speaker 2: of pump ourselves up, to like motivate ourselves and just

470
00:24:07,920 --> 00:24:10,280
Speaker 2: like something to cry about keep people's heads in the game.

471
00:24:10,520 --> 00:24:13,840
Speaker 2: But this sentiment is just still alive and strong, and

472
00:24:13,880 --> 00:24:15,920
Speaker 2: I'm curious to being in like your research, and I've

473
00:24:15,920 --> 00:24:19,280
Speaker 2: always wondered this, like are there there are there like

474
00:24:19,320 --> 00:24:23,800
Speaker 2: distinct buckets of people within the larger election denialism like

475
00:24:23,960 --> 00:24:26,960
Speaker 2: culture subculture, Like there's like gonna be the people that

476
00:24:27,000 --> 00:24:30,000
Speaker 2: are grifting. They actually don't fucking believe that anything was stolen,

477
00:24:30,040 --> 00:24:32,000
Speaker 2: but they know they could take advantage of people who do.

478
00:24:32,440 --> 00:24:37,800
Speaker 2: Then like true believers and then like casuals like lack

479
00:24:37,800 --> 00:24:40,760
Speaker 2: of a better term, like how would you categorize, like

480
00:24:41,000 --> 00:24:44,760
Speaker 2: what this sort of like election overall election denialism movement

481
00:24:44,840 --> 00:24:45,520
Speaker 2: kind of looks.

482
00:24:45,359 --> 00:24:47,200
Speaker 5: Like absolutely their buckets.

483
00:24:47,520 --> 00:24:47,760
Speaker 1: I know.

484
00:24:47,800 --> 00:24:50,480
Speaker 4: One of the two biggest buckets are people who think

485
00:24:50,480 --> 00:24:53,639
Speaker 4: the election nihilism is real, that like, definitely what's stolen

486
00:24:54,000 --> 00:24:57,360
Speaker 4: and that therefore it's pointless to vote, and people who

487
00:24:57,359 --> 00:25:00,000
Speaker 4: are like election was stolen, but you should still definitely

488
00:25:00,200 --> 00:25:04,600
Speaker 4: show up with the poles please remember, and the two

489
00:25:04,720 --> 00:25:09,480
Speaker 4: fight regularly constantly. Election niners have a lot of infighting,

490
00:25:09,760 --> 00:25:14,720
Speaker 4: particularly about which politicians they deem as legitimate like will

491
00:25:15,600 --> 00:25:20,679
Speaker 4: enact MAGA like policies or who also reinforced election was stolen,

492
00:25:20,920 --> 00:25:22,840
Speaker 4: and people who are like as long as they have

493
00:25:22,960 --> 00:25:25,159
Speaker 4: like pro life stuff, it's fine. Like people tend to

494
00:25:25,200 --> 00:25:27,880
Speaker 4: like kind of where they're giving and what they think

495
00:25:27,960 --> 00:25:31,760
Speaker 4: is okay to like compromise varies wildly.

496
00:25:31,560 --> 00:25:34,760
Speaker 5: Even though they all they all basically believe that the election.

497
00:25:34,520 --> 00:25:38,120
Speaker 2: Was stolen right, because like I'm always curious how much

498
00:25:38,280 --> 00:25:43,199
Speaker 2: in their bones, like they believe these lies, because like

499
00:25:43,280 --> 00:25:45,919
Speaker 2: every court case just got the smack put on it,

500
00:25:45,960 --> 00:25:48,000
Speaker 2: and it's just like, well, there's no you really have

501
00:25:48,040 --> 00:25:50,800
Speaker 2: no evidence aside from the feeling that you just are

502
00:25:50,840 --> 00:25:53,200
Speaker 2: aggrieved and like you know, But then there are people

503
00:25:53,240 --> 00:25:55,760
Speaker 2: that are in like literal tears. They're like this country's

504
00:25:56,119 --> 00:25:59,160
Speaker 2: just going to dog shit and others that are using

505
00:25:59,200 --> 00:26:01,479
Speaker 2: their argument just like I think, just to sort of

506
00:26:01,520 --> 00:26:05,240
Speaker 2: justify their hatred of a democratic administration. So like I'm curious,

507
00:26:05,240 --> 00:26:07,760
Speaker 2: Like it's always interesting to see how that motivates people,

508
00:26:07,800 --> 00:26:10,320
Speaker 2: and like, to your point, we saw that sort of

509
00:26:10,320 --> 00:26:13,920
Speaker 2: denialism backfired a bit in Georgia when Warnock was elected

510
00:26:13,960 --> 00:26:15,439
Speaker 2: at the end of twenty twenty and a lot of

511
00:26:15,440 --> 00:26:17,639
Speaker 2: people were like, I don't know if you could if

512
00:26:17,680 --> 00:26:20,600
Speaker 2: we simultaneous like the election was stolen, but also go

513
00:26:20,680 --> 00:26:23,399
Speaker 2: vote in Georgia to make sure Warnock doesn't get elected

514
00:26:23,440 --> 00:26:26,359
Speaker 2: to the Senate. Like so to your point of the

515
00:26:26,400 --> 00:26:29,480
Speaker 2: people being like, oh, it's it's real. And also but

516
00:26:29,480 --> 00:26:31,680
Speaker 2: they're like, but don't create like a sense of apathy

517
00:26:31,760 --> 00:26:35,480
Speaker 2: and don't like totally black build these people. How are

518
00:26:35,560 --> 00:26:37,960
Speaker 2: like how are these people, Like how are Republicans? Are

519
00:26:38,080 --> 00:26:40,400
Speaker 2: people in the right wing able to like walk that

520
00:26:40,760 --> 00:26:44,200
Speaker 2: line to try not to completely demotivate the base, like

521
00:26:44,200 --> 00:26:46,760
Speaker 2: like how can you not if everything is fucking rigged?

522
00:26:46,920 --> 00:26:47,760
Speaker 5: Yeah, I know.

523
00:26:48,160 --> 00:26:51,360
Speaker 4: One of the main things I've seen is particularly extremist

524
00:26:51,520 --> 00:26:55,200
Speaker 4: groups like crowdboys, like parents rights people that are on

525
00:26:55,240 --> 00:26:58,879
Speaker 4: the extremist end three per centers. Those people tend to

526
00:27:00,040 --> 00:27:04,959
Speaker 4: they're put up their own or like actively endorsed candidates

527
00:27:05,040 --> 00:27:08,320
Speaker 4: that are very very far right and kind of use

528
00:27:08,359 --> 00:27:11,000
Speaker 4: that as kind of like a carrot where it's like,

529
00:27:11,040 --> 00:27:13,679
Speaker 4: if you do go vote, this person isn't just like

530
00:27:13,760 --> 00:27:16,560
Speaker 4: kind Republican or like even solidly read.

531
00:27:16,600 --> 00:27:19,440
Speaker 5: They're like very extreme to the point where you're extreme.

532
00:27:19,920 --> 00:27:20,800
Speaker 5: And I think I've.

533
00:27:20,640 --> 00:27:24,120
Speaker 4: Seen I've been seeing people essentially feel like for local

534
00:27:24,119 --> 00:27:26,400
Speaker 4: elections and for state elections, like I mean, you're already there,

535
00:27:26,440 --> 00:27:28,200
Speaker 4: so vote for like a president. You're already there, so

536
00:27:28,320 --> 00:27:29,960
Speaker 4: vote for a send that person, But like you're really

537
00:27:30,000 --> 00:27:32,680
Speaker 4: there to vote for these people, for these school board seats,

538
00:27:32,680 --> 00:27:35,560
Speaker 4: for these board supervisor seats that are incredibly far right.

539
00:27:35,600 --> 00:27:38,560
Speaker 4: I feel like local elections definitely ended up being a

540
00:27:38,680 --> 00:27:41,600
Speaker 4: major driver of people within these spaces where it's like

541
00:27:41,920 --> 00:27:44,000
Speaker 4: you get more people who are kind of off the

542
00:27:44,040 --> 00:27:47,119
Speaker 4: deep end and who are very much like I want to.

543
00:27:47,359 --> 00:27:49,800
Speaker 4: I think there is a movement to like ban ranked

544
00:27:49,880 --> 00:27:52,000
Speaker 4: choice voting as an option for voting in the future

545
00:27:52,080 --> 00:27:56,640
Speaker 4: for within states, or like going back and increasing voter

546
00:27:56,760 --> 00:27:59,440
Speaker 4: ID requirements make it so it just state ide isn't

547
00:27:59,480 --> 00:28:01,119
Speaker 4: valid any more. Like there are just a lot of

548
00:28:01,160 --> 00:28:05,120
Speaker 4: people who want to run locally on these kind of platforms,

549
00:28:05,359 --> 00:28:07,200
Speaker 4: and they get into a mass supporting traction. So it

550
00:28:07,280 --> 00:28:09,480
Speaker 4: ends up being like you should support this person. And

551
00:28:09,520 --> 00:28:11,840
Speaker 4: then you're already at the polls, you know.

552
00:28:12,000 --> 00:28:15,240
Speaker 1: Right, do you feel like, first of all, do you

553
00:28:15,280 --> 00:28:17,000
Speaker 1: ever get in there and say, good point, it is

554
00:28:17,040 --> 00:28:19,480
Speaker 1: pointless to vote, y'all should definitely not vote good good

555
00:28:19,480 --> 00:28:20,000
Speaker 1: call guys.

556
00:28:20,080 --> 00:28:20,320
Speaker 2: Yeah.

557
00:28:20,359 --> 00:28:24,159
Speaker 1: And then but also, like you know, we've seen Trump

558
00:28:24,240 --> 00:28:27,960
Speaker 1: himself over index when compared to his polling. But then

559
00:28:28,680 --> 00:28:32,639
Speaker 1: more recently we've seen the Republican Party perform much worse

560
00:28:33,280 --> 00:28:37,560
Speaker 1: than polling was indicating, leading in or at least on

561
00:28:37,600 --> 00:28:40,320
Speaker 1: the like worst side of the continuum, on the more

562
00:28:40,320 --> 00:28:43,720
Speaker 1: disappointing for them side of the continuum. That like the

563
00:28:43,720 --> 00:28:45,880
Speaker 1: the explanation for that that I've usually heard is just

564
00:28:46,640 --> 00:28:52,440
Speaker 1: you know that people are actually pissed about their bodily

565
00:28:52,480 --> 00:28:55,960
Speaker 1: autonomy going away, and that is a much better motivating

566
00:28:56,120 --> 00:28:58,400
Speaker 1: thing than whatever kind of grievance shit that they have

567
00:28:58,480 --> 00:29:02,080
Speaker 1: going on. But do you think that the people thinking

568
00:29:02,120 --> 00:29:05,400
Speaker 1: that it's pointless to vote actually has an impact on

569
00:29:05,480 --> 00:29:11,680
Speaker 1: that has impacted their electoral kind of underwhelming performances.

570
00:29:12,200 --> 00:29:14,680
Speaker 4: Well, I mean this past election to the twenty twenty

571
00:29:14,680 --> 00:29:16,920
Speaker 4: two midterm election, right, people were trying to really get

572
00:29:16,920 --> 00:29:19,680
Speaker 4: out the vote. Obviously, Arizona was a big focus, and

573
00:29:19,720 --> 00:29:22,480
Speaker 4: then Wisconsin was also really big focused and I was

574
00:29:22,520 --> 00:29:26,719
Speaker 4: in Arizona spaces in Pennsylvania spaces. After the election happened,

575
00:29:26,720 --> 00:29:29,600
Speaker 4: and the people who they're putting up largely did not win,

576
00:29:30,000 --> 00:29:32,920
Speaker 4: people are like, hey, what happened? If you didn't go vote,

577
00:29:32,960 --> 00:29:35,760
Speaker 4: why did you go vote? A lot of people were said, oh,

578
00:29:35,960 --> 00:29:38,640
Speaker 4: I kind of wanted to vote, but like, my kid

579
00:29:38,680 --> 00:29:41,200
Speaker 4: had a soccer game, I was traveling, I was busy,

580
00:29:41,320 --> 00:29:45,000
Speaker 4: And they're like they because it wasn't convenient, they.

581
00:29:44,800 --> 00:29:47,320
Speaker 5: Didn't care enough about it because.

582
00:29:47,040 --> 00:29:49,040
Speaker 4: They were like, the odd up being ringed are so

583
00:29:49,400 --> 00:29:52,040
Speaker 4: high slash, Like, I'm sure it was written in the past,

584
00:29:52,080 --> 00:29:55,200
Speaker 4: and so if it isn't then easy plus with their

585
00:29:55,240 --> 00:29:58,240
Speaker 4: whole I guess devaluing of mail and voting or early

586
00:29:58,320 --> 00:30:01,280
Speaker 4: but people think that also it's like unsafe invaluable, so

587
00:30:01,360 --> 00:30:03,560
Speaker 4: you have to be there in person on election day.

588
00:30:03,920 --> 00:30:06,000
Speaker 4: A lot of people can't be there in personal election

589
00:30:06,120 --> 00:30:08,080
Speaker 4: day or just it would be hard for them to

590
00:30:08,080 --> 00:30:10,680
Speaker 4: like stand in line for three hours after work. And

591
00:30:10,760 --> 00:30:13,800
Speaker 4: so it's like they because they think of it as

592
00:30:13,840 --> 00:30:15,600
Speaker 4: being kind of like a lost cause in the back

593
00:30:15,600 --> 00:30:18,920
Speaker 4: of their minds. Anyway, doing a bunch of extra effort

594
00:30:18,960 --> 00:30:21,280
Speaker 4: to go vote feels like a waste of time, I

595
00:30:21,320 --> 00:30:24,240
Speaker 4: think implicitly it subconsciously, so they're like, oh, yeah, I

596
00:30:24,240 --> 00:30:26,520
Speaker 4: don't My kid had to go to the doctor and

597
00:30:26,560 --> 00:30:28,440
Speaker 4: so I was tired after and they didn't go vote,

598
00:30:28,800 --> 00:30:30,640
Speaker 4: and that feels like a valid enough reason for them.

599
00:30:30,920 --> 00:30:33,520
Speaker 2: That is so wild that it's like, honestly, like I

600
00:30:33,520 --> 00:30:35,920
Speaker 2: don't know right now, Like I mean, I know we

601
00:30:35,960 --> 00:30:39,000
Speaker 2: need to take over the nation, but I had to go.

602
00:30:39,120 --> 00:30:40,880
Speaker 2: Like I had to pick up a package at FedEx

603
00:30:40,920 --> 00:30:43,440
Speaker 2: before they closed because I missed it when they delivered

604
00:30:43,480 --> 00:30:45,120
Speaker 2: it the first time. So I just had to sit

605
00:30:45,200 --> 00:30:48,160
Speaker 2: this one out, Like do you do you see, because

606
00:30:48,200 --> 00:30:51,960
Speaker 2: twenty twenty four feels like it feels like they're they're resolute,

607
00:30:52,240 --> 00:30:55,360
Speaker 2: you know, in taking the White House. But how how

608
00:30:55,360 --> 00:31:00,960
Speaker 2: does that square with this simmering like sort of denihalism,

609
00:31:01,040 --> 00:31:04,000
Speaker 2: Like what's the fucking point energy that exists in the right?

610
00:31:04,080 --> 00:31:06,400
Speaker 2: Like how is that? Like? What? What? What do you

611
00:31:06,440 --> 00:31:08,360
Speaker 2: hear from people? Like are they still saying like it's

612
00:31:08,360 --> 00:31:10,080
Speaker 2: important to vote or they're just more like man, we're

613
00:31:10,080 --> 00:31:12,920
Speaker 2: gonna have to fucking take over the capital again or

614
00:31:12,920 --> 00:31:15,680
Speaker 2: some shit, Like what how are they motivating themselves? Because

615
00:31:15,720 --> 00:31:17,880
Speaker 2: obviously the results are going to be born out in

616
00:31:17,960 --> 00:31:20,640
Speaker 2: the voting, But if they aren't doing that, then how

617
00:31:20,680 --> 00:31:22,040
Speaker 2: do they achieve that goal?

618
00:31:22,520 --> 00:31:22,800
Speaker 5: Yeah?

619
00:31:22,920 --> 00:31:26,160
Speaker 4: I mean for it's different this year, mostly because Trump

620
00:31:26,240 --> 00:31:28,920
Speaker 4: is now probably going to be on the ballot and

621
00:31:29,120 --> 00:31:30,920
Speaker 4: a lot of these people, if they don't like a

622
00:31:30,960 --> 00:31:33,560
Speaker 4: billion the Republicans a billion of things, they do love

623
00:31:33,680 --> 00:31:35,760
Speaker 4: Trump and so it's like him being their changes the

624
00:31:35,800 --> 00:31:38,360
Speaker 4: gave immediately. And then on top of that, I am

625
00:31:38,400 --> 00:31:40,400
Speaker 4: seeing good enough people, which can very well could be

626
00:31:40,440 --> 00:31:43,440
Speaker 4: all talk also being like willis we have to take

627
00:31:43,480 --> 00:31:47,240
Speaker 4: a step more than voting, either like like convoying or

628
00:31:47,320 --> 00:31:50,320
Speaker 4: doing mass protests or doing another I know that during

629
00:31:50,360 --> 00:31:55,040
Speaker 4: the mid term people doing watching dropboxes with like with guns, right,

630
00:31:55,320 --> 00:31:58,240
Speaker 4: they also kind of starting to get a little bit

631
00:31:58,240 --> 00:32:01,000
Speaker 4: of seam. I think we're there. Probably I can very

632
00:32:01,000 --> 00:32:06,480
Speaker 4: easily see more public protests and like active obstruction of

633
00:32:06,560 --> 00:32:10,200
Speaker 4: election processing local officials because they're like Trump is on

634
00:32:10,200 --> 00:32:12,120
Speaker 4: the ballot, so now you need to vote because they

635
00:32:12,120 --> 00:32:13,200
Speaker 4: can vote Trump back in office.

636
00:32:13,200 --> 00:32:13,400
Speaker 5: People.

637
00:32:13,440 --> 00:32:16,000
Speaker 4: I think that basically everyone in these circles desperately wants

638
00:32:16,040 --> 00:32:20,640
Speaker 4: to have happened. But then to kind of mitigate fraud

639
00:32:20,880 --> 00:32:24,760
Speaker 4: or to mitigate theft to vote, be watch surveillance cameras,

640
00:32:24,800 --> 00:32:28,280
Speaker 4: put your drones in there and stare into the voting

641
00:32:28,320 --> 00:32:30,560
Speaker 4: booth for like all hours of the day to make

642
00:32:30,600 --> 00:32:32,719
Speaker 4: sure that nobody is cheating and no one's like and

643
00:32:32,840 --> 00:32:36,040
Speaker 4: it ends up being like almost like a hyper surveillance

644
00:32:36,080 --> 00:32:39,040
Speaker 4: game where it's like the more eyes we can have

645
00:32:39,120 --> 00:32:41,880
Speaker 4: on every crumb of the voting process, the more secure

646
00:32:41,880 --> 00:32:44,680
Speaker 4: it will be. So like harass people at their jobs

647
00:32:44,680 --> 00:32:47,480
Speaker 4: when they're counting ballots and like that tends to be

648
00:32:47,640 --> 00:32:52,000
Speaker 4: almost like a even if you aren't super red pilled about,

649
00:32:52,040 --> 00:32:53,720
Speaker 4: it ends up kind of being what you what you're

650
00:32:53,880 --> 00:32:56,680
Speaker 4: going to do or what you're I guess encouraged to

651
00:32:56,680 --> 00:32:57,720
Speaker 4: do within these spaces.

652
00:32:58,040 --> 00:33:00,560
Speaker 2: Yeah, because I'm like, it's wild. I think like for

653
00:33:00,640 --> 00:33:03,640
Speaker 2: people that's where like to me, it's like it's just

654
00:33:03,680 --> 00:33:06,400
Speaker 2: like a little it's just kind of shreeks of bullshit too,

655
00:33:06,440 --> 00:33:08,400
Speaker 2: because like when you say, when I saw people like

656
00:33:08,520 --> 00:33:10,640
Speaker 2: in Iowa during the caucuses, a lot of people were

657
00:33:10,640 --> 00:33:13,760
Speaker 2: sharing like those clips of people just like putting scripts

658
00:33:13,760 --> 00:33:16,320
Speaker 2: of paper in a fucking shopping bag to how they

659
00:33:16,360 --> 00:33:18,680
Speaker 2: were voting, and they're like, I'm sorry, I thought y'all

660
00:33:18,680 --> 00:33:21,160
Speaker 2: were all about the selection security, but they're like, well,

661
00:33:21,160 --> 00:33:25,880
Speaker 2: when it's us, we know it's when those other people

662
00:33:25,920 --> 00:33:29,160
Speaker 2: get involved that you can't trust the process at all.

663
00:33:29,560 --> 00:33:31,640
Speaker 2: But yeah, that's really sort of kind of interesting to

664
00:33:31,680 --> 00:33:34,160
Speaker 2: think about because yeah, obviously, like with Trump on the ballot,

665
00:33:34,280 --> 00:33:37,360
Speaker 2: that's a huge draw, but then it's also like, yeah,

666
00:33:37,400 --> 00:33:40,360
Speaker 2: how will it how will it even out? Like how

667
00:33:40,360 --> 00:33:42,520
Speaker 2: many people are gonna still maintain like yep, this is

668
00:33:42,520 --> 00:33:43,960
Speaker 2: the way to do it. And then other people who

669
00:33:43,960 --> 00:33:48,720
Speaker 2: are like, ah, I guess, but also watch every like

670
00:33:48,760 --> 00:33:52,440
Speaker 2: you say, every kernel, every little minute step in the

671
00:33:52,480 --> 00:33:55,480
Speaker 2: process to hopefully, I don't know, catch something even though

672
00:33:55,600 --> 00:33:58,280
Speaker 2: they they tried last time, it did not really work

673
00:33:58,320 --> 00:33:58,920
Speaker 2: out that way.

674
00:33:59,120 --> 00:34:01,320
Speaker 1: Yeah, yeah, we talked about last time. Should we talk

675
00:34:01,320 --> 00:34:05,720
Speaker 1: about January sixth, because it does feel a little bit

676
00:34:05,960 --> 00:34:09,040
Speaker 1: like have you ever been in a town this happened?

677
00:34:09,080 --> 00:34:10,799
Speaker 1: Like last time I lived in New York, there was

678
00:34:11,000 --> 00:34:14,480
Speaker 1: a massive blizzard, and then the next time there was

679
00:34:14,520 --> 00:34:19,240
Speaker 1: like any snow in the forecast, there was the great

680
00:34:19,280 --> 00:34:22,480
Speaker 1: like it was called like snowpocalyps and you know, like

681
00:34:22,600 --> 00:34:26,040
Speaker 1: all these It's also like what happened after nine to eleven,

682
00:34:26,040 --> 00:34:29,120
Speaker 1: when the mainstream media made it feel like another equivalent

683
00:34:29,480 --> 00:34:36,839
Speaker 1: terror attack was absolutely imminent. You know, our imagination is

684
00:34:36,960 --> 00:34:41,840
Speaker 1: basically formed by the things that we've recently seen, I

685
00:34:41,840 --> 00:34:45,279
Speaker 1: guess especially in like the mainstream media. So I'm just

686
00:34:46,040 --> 00:34:48,920
Speaker 1: it feels like people are like that that is the

687
00:34:49,040 --> 00:34:53,960
Speaker 1: version of you know, right wing action that people are

688
00:34:54,000 --> 00:34:57,000
Speaker 1: able to imagine. But it seems like some of your

689
00:34:57,080 --> 00:35:00,600
Speaker 1: research has said, like that's probably not exactly it's gonna

690
00:35:00,600 --> 00:35:03,160
Speaker 1: look like now. So I'm just curious to hear your

691
00:35:03,239 --> 00:35:05,840
Speaker 1: thoughts on what we're kind of missing there.

692
00:35:06,239 --> 00:35:10,080
Speaker 5: Yeah, I mean January sixth definitely was a keystone moment.

693
00:35:10,560 --> 00:35:14,279
Speaker 4: I think that one thing that it did show, Like

694
00:35:14,400 --> 00:35:17,759
Speaker 4: what one thing that it did show though, I think

695
00:35:17,920 --> 00:35:22,240
Speaker 4: is that just because the previous for you to trumph

696
00:35:22,280 --> 00:35:25,120
Speaker 4: mental Oby myself's empowered and like they're able to kind

697
00:35:25,120 --> 00:35:26,360
Speaker 4: of get away with a lot of stuff.

698
00:35:26,360 --> 00:35:28,880
Speaker 5: To me that you can get away with literally everything.

699
00:35:28,840 --> 00:35:30,759
Speaker 4: And not of people who were put on the fly

700
00:35:30,880 --> 00:35:33,560
Speaker 4: lists that were then like tried and convicted of crimes,

701
00:35:34,320 --> 00:35:38,239
Speaker 4: especially because in these spaces people either frame danuous sex

702
00:35:38,360 --> 00:35:41,319
Speaker 4: as like a terrible moment when our patriots were like

703
00:35:41,360 --> 00:35:43,760
Speaker 4: tricked and deceive and now are put in its political prisoners,

704
00:35:44,200 --> 00:35:46,880
Speaker 4: or it's completely a false flag by antif for or

705
00:35:46,880 --> 00:35:51,080
Speaker 4: the FBI, And like I think during the January six

706
00:35:52,040 --> 00:35:54,279
Speaker 4: I don't really see it in the forecast because it's

707
00:35:54,320 --> 00:35:57,280
Speaker 4: like now people know that if you go too hard

708
00:35:57,320 --> 00:35:59,399
Speaker 4: into this thing and get kind of too caught up,

709
00:35:59,680 --> 00:36:02,960
Speaker 4: there are are real tangible consequences, and like you can

710
00:36:03,080 --> 00:36:05,719
Speaker 4: be arrested for doing crimes, and that's not something that

711
00:36:05,760 --> 00:36:08,280
Speaker 4: you don't get kind of like free reign to do

712
00:36:08,320 --> 00:36:09,080
Speaker 4: just because you look.

713
00:36:09,000 --> 00:36:11,280
Speaker 5: At Candon a lot, right, And I don't think.

714
00:36:11,120 --> 00:36:13,400
Speaker 4: That was a thing that had been proven on a

715
00:36:13,440 --> 00:36:16,640
Speaker 4: wide scale in these spaces until January six, and now

716
00:36:16,760 --> 00:36:21,440
Speaker 4: even people who do I do the dropouts motterting with guns,

717
00:36:21,480 --> 00:36:24,239
Speaker 4: you know, they are also only two people, not a

718
00:36:24,280 --> 00:36:27,720
Speaker 4: whrde And it's like people who are fully fully convenidentities

719
00:36:27,920 --> 00:36:31,320
Speaker 4: and like make it, schedule it and talk to the police,

720
00:36:31,360 --> 00:36:32,960
Speaker 4: make sure that like the police are okay with them

721
00:36:33,000 --> 00:36:36,879
Speaker 4: being there. It's a lot more of a it's weird

722
00:36:36,880 --> 00:36:39,719
Speaker 4: to say, above door and effort and less like a

723
00:36:39,800 --> 00:36:42,440
Speaker 4: mass you know, going towards do something because it just

724
00:36:42,480 --> 00:36:44,359
Speaker 4: feels right in the moment. And I think people now

725
00:36:44,440 --> 00:36:46,839
Speaker 4: know that that isn't necessarily going to work out. Well

726
00:36:46,880 --> 00:36:48,600
Speaker 4: if you're caught up in the moment.

727
00:36:48,640 --> 00:36:51,759
Speaker 2: Right, do you think, like you know, just thought experiment,

728
00:36:51,920 --> 00:36:55,839
Speaker 2: do you think that the energy is still sort of

729
00:36:55,880 --> 00:36:59,040
Speaker 2: swirling around like that it could like like if all

730
00:36:59,080 --> 00:37:01,319
Speaker 2: the right pieces are place, like could it repeat Like

731
00:37:01,360 --> 00:37:04,600
Speaker 2: if like let's say Biden wins narrowly and it's like

732
00:37:04,680 --> 00:37:07,640
Speaker 2: only down to like two states that were like you know,

733
00:37:07,800 --> 00:37:10,880
Speaker 2: purple but on the red side or something, and somehow

734
00:37:11,640 --> 00:37:14,000
Speaker 2: he's you know, wins whatever state you know, just for

735
00:37:14,080 --> 00:37:17,160
Speaker 2: this hypothetical, and it like hinges on these two things,

736
00:37:17,800 --> 00:37:21,480
Speaker 2: and Trump begins agitating again and saying, like doing sort

737
00:37:21,480 --> 00:37:25,200
Speaker 2: of like running the sort of same script again, will

738
00:37:25,239 --> 00:37:27,640
Speaker 2: they do you think it would? It would there would

739
00:37:27,640 --> 00:37:31,000
Speaker 2: be another attempt, except like more organized or again like

740
00:37:31,000 --> 00:37:32,799
Speaker 2: to your point, too many people are just put off

741
00:37:32,880 --> 00:37:35,520
Speaker 2: because they're like they're like, yo, this is a fucking op, like,

742
00:37:35,680 --> 00:37:38,480
Speaker 2: don't even try it. But also but it feels like

743
00:37:38,480 --> 00:37:41,840
Speaker 2: they're also very motivated to show up in physical space

744
00:37:41,840 --> 00:37:44,040
Speaker 2: and some capacity to sort of like let their displeasure

745
00:37:44,080 --> 00:37:44,399
Speaker 2: be known.

746
00:37:45,280 --> 00:37:47,839
Speaker 4: No, I would much more predict which is like, ow,

747
00:37:47,880 --> 00:37:52,080
Speaker 4: I'm dreading it, much more predict there being two, three, four,

748
00:37:52,280 --> 00:37:54,000
Speaker 4: five people who show up and perage try to do

749
00:37:54,080 --> 00:37:57,960
Speaker 4: something a lhile the Gretchen Whitmer attempted kidnapping, like it's

750
00:37:57,960 --> 00:38:00,359
Speaker 4: like three or four guys as opposed to being people

751
00:38:00,360 --> 00:38:02,840
Speaker 4: who were at January six at this point, Yeah, it

752
00:38:02,920 --> 00:38:05,880
Speaker 4: being an op, it being a setup to be politically

753
00:38:05,960 --> 00:38:08,839
Speaker 4: imprisoned is now a big enough narrative that I would

754
00:38:08,920 --> 00:38:11,319
Speaker 4: personally think that it's going to be. I would see

755
00:38:11,360 --> 00:38:14,840
Speaker 4: more smaller either one person or three or four or

756
00:38:14,840 --> 00:38:18,439
Speaker 4: five people attempts at like trying to go and take

757
00:38:18,520 --> 00:38:22,040
Speaker 4: votes from election offices or like or finding out people

758
00:38:22,040 --> 00:38:24,760
Speaker 4: who were elections people regularly put the names and faces

759
00:38:24,760 --> 00:38:27,520
Speaker 4: of phone numbers of people who are election officials and

760
00:38:27,520 --> 00:38:30,560
Speaker 4: say bother them, call their number, maybe docks them.

761
00:38:30,719 --> 00:38:32,000
Speaker 5: I'm thinking more things that.

762
00:38:32,320 --> 00:38:34,400
Speaker 4: I mean, even swatting people feels like it's probably be

763
00:38:34,440 --> 00:38:37,920
Speaker 4: more more likely of an event to happen than another.

764
00:38:37,640 --> 00:38:40,879
Speaker 2: JASEX right, So it's more that. Yeah, at that point,

765
00:38:40,920 --> 00:38:43,520
Speaker 2: it's like, oh shit, like you can't be that visible

766
00:38:43,640 --> 00:38:45,560
Speaker 2: with a whole group like that. So either we go

767
00:38:45,920 --> 00:38:49,279
Speaker 2: lone wolf for like these tiny groups or just stick

768
00:38:49,320 --> 00:38:52,359
Speaker 2: to digital harassment because that seems like I mean, it's

769
00:38:52,360 --> 00:38:55,200
Speaker 2: happening that like Nikki Haley and judges involved in Trump's

770
00:38:55,200 --> 00:38:58,800
Speaker 2: trials and things and election officials. So yeah, maybe where

771
00:38:58,840 --> 00:39:02,320
Speaker 2: we go one week, go like a few of us

772
00:39:02,680 --> 00:39:05,360
Speaker 2: is kind of more a more accurate revial go on.

773
00:39:05,600 --> 00:39:10,480
Speaker 2: We go in manageable groups. That doesn't cause we get we.

774
00:39:10,520 --> 00:39:13,080
Speaker 1: Clear it ahead of time and we're like, hey guys.

775
00:39:12,760 --> 00:39:15,239
Speaker 2: Just an opsec is I think, Now opsec is, I

776
00:39:15,239 --> 00:39:17,480
Speaker 2: think totally we gotta be we gotta that's the buzzword.

777
00:39:17,520 --> 00:39:18,960
Speaker 2: Now it's all about operational security.

778
00:39:19,200 --> 00:39:21,359
Speaker 1: Yeah, all right, let's take you a quick break. We'll

779
00:39:21,360 --> 00:39:23,960
Speaker 1: come back. We'll talk about you know what what what

780
00:39:24,040 --> 00:39:29,480
Speaker 1: are some of the potential futures if Biden doesn't win narrowly,

781
00:39:29,880 --> 00:39:33,760
Speaker 1: if Biden doesn't win by a landslide, if Biden doesn't

782
00:39:33,800 --> 00:39:48,640
Speaker 1: win at all, We'll be right back and we're back,

783
00:39:49,560 --> 00:39:55,320
Speaker 1: and there's a whole Atlantic magazine those like if Trump wins.

784
00:39:55,920 --> 00:39:58,880
Speaker 1: But like I didn't see like any of those stories

785
00:39:58,920 --> 00:40:01,920
Speaker 1: like really breaking through were capturing people's imagination. It just

786
00:40:01,960 --> 00:40:07,960
Speaker 1: feels like people are kind of exhausted by him at

787
00:40:07,960 --> 00:40:10,080
Speaker 1: this point, which is something that we talked about, like

788
00:40:10,120 --> 00:40:13,480
Speaker 1: in the very early days of this podcast, like of

789
00:40:13,520 --> 00:40:18,040
Speaker 1: the Trump administration. The idea that you know, the Nazis

790
00:40:18,080 --> 00:40:20,680
Speaker 1: first came to power, they were front page or just

791
00:40:20,680 --> 00:40:23,239
Speaker 1: like when they first existed, rather you know, they were

792
00:40:23,239 --> 00:40:25,920
Speaker 1: front page news, it was in a national scandal and

793
00:40:26,040 --> 00:40:29,600
Speaker 1: international scandal. By the time that they came to power,

794
00:40:30,520 --> 00:40:33,160
Speaker 1: they were people were just like exhausted by it and

795
00:40:33,280 --> 00:40:37,280
Speaker 1: tired of like reading about them and like just people

796
00:40:37,880 --> 00:40:41,640
Speaker 1: you know, it's the Bannon strategy of flooding the zone

797
00:40:41,680 --> 00:40:45,680
Speaker 1: with shit and you just become kind of inert to it.

798
00:40:45,800 --> 00:40:49,400
Speaker 1: So I'm just curious, like to hear your thoughts generally

799
00:40:49,440 --> 00:40:52,759
Speaker 1: on like what you think a world looks like with

800
00:40:53,080 --> 00:40:56,640
Speaker 1: these groups preparing the way they are and like kind

801
00:40:56,640 --> 00:41:00,960
Speaker 1: of changing their changing how open they are. Like if

802
00:41:01,000 --> 00:41:03,640
Speaker 1: Trump wins, I feel like they become a lot less

803
00:41:03,680 --> 00:41:08,480
Speaker 1: scared of prosecution and like things go in a different direction, right.

804
00:41:08,760 --> 00:41:11,040
Speaker 4: Yeah, I mean in my mind that Trump would would

805
00:41:11,040 --> 00:41:15,040
Speaker 4: probably also accompany a bunch of smaller the same election

806
00:41:15,560 --> 00:41:19,120
Speaker 4: wins for Republicans, and I think that that would end up.

807
00:41:19,880 --> 00:41:21,960
Speaker 4: I could see it being almost like you know how

808
00:41:22,000 --> 00:41:25,600
Speaker 4: Twitter was and how Twitter slash x is now, where

809
00:41:25,640 --> 00:41:29,480
Speaker 4: it's like you go online and like I saw beheading

810
00:41:29,560 --> 00:41:32,000
Speaker 4: online in my feed yesterday and it was just like

811
00:41:32,160 --> 00:41:34,279
Speaker 4: that's just around now and that was just part of

812
00:41:34,280 --> 00:41:37,279
Speaker 4: your everyday normal. I could see it being like you

813
00:41:37,320 --> 00:41:40,279
Speaker 4: walk around your city and you see like a white

814
00:41:40,280 --> 00:41:42,080
Speaker 4: price sticker on the stop sign, and that's just like

815
00:41:42,120 --> 00:41:45,480
Speaker 4: part of the landscape of where you live, and it

816
00:41:45,600 --> 00:41:49,799
Speaker 4: being essentially laws are paths that are that are you know,

817
00:41:49,880 --> 00:41:53,279
Speaker 4: regressive and bigoted, and I could see it being like,

818
00:41:53,440 --> 00:41:56,080
Speaker 4: you know, I think I'm thinking more in the sense

819
00:41:56,120 --> 00:42:00,000
Speaker 4: that it would feel just generally unsafe, but then also

820
00:42:00,080 --> 00:42:02,160
Speaker 4: would have the coffee other being like and you would

821
00:42:02,239 --> 00:42:05,280
Speaker 4: feel like, yeah, tired, it's tired and like it's normal,

822
00:42:05,360 --> 00:42:07,480
Speaker 4: and like it sucks, you don't like it, but like

823
00:42:07,880 --> 00:42:10,080
Speaker 4: it's a bunch of title instances that go about your day,

824
00:42:10,480 --> 00:42:13,000
Speaker 4: not one big guy yelling at you or fighting with you.

825
00:42:13,080 --> 00:42:14,319
Speaker 5: What are you gonna do about it?

826
00:42:14,760 --> 00:42:17,839
Speaker 4: And I could see that being like, you know, every

827
00:42:17,880 --> 00:42:21,000
Speaker 4: school board meeting is now some weird right right rings

828
00:42:21,080 --> 00:42:23,719
Speaker 4: screen about how trans kids are ruining everything, and that's

829
00:42:23,880 --> 00:42:25,680
Speaker 4: every school board meeting now, and there's not a lot

830
00:42:25,719 --> 00:42:29,239
Speaker 4: of ways to counteract that or like to make that stop, right.

831
00:42:29,760 --> 00:42:33,360
Speaker 2: I'm like, you know, cause just we're in an election

832
00:42:33,480 --> 00:42:36,799
Speaker 2: year and it feels like every time shit just gets

833
00:42:36,800 --> 00:42:40,200
Speaker 2: worse and worse, Like the technology gets better for bad

834
00:42:40,239 --> 00:42:44,680
Speaker 2: faith actors, the potential for violence increases. And I think

835
00:42:44,719 --> 00:42:47,080
Speaker 2: a lot of people will probably hear like, okay, so

836
00:42:47,120 --> 00:42:49,800
Speaker 2: there's not gonna be no j six two point zero

837
00:42:49,920 --> 00:42:52,120
Speaker 2: and probably be like, okay, great, nothing to worry about,

838
00:42:52,160 --> 00:42:55,239
Speaker 2: Like they realize they've been fully dissuaded from trying that

839
00:42:55,280 --> 00:42:58,680
Speaker 2: shit again. No need to be vigilant about anything. But

840
00:42:59,080 --> 00:43:00,840
Speaker 2: you know, like I said, we've had Jared on the

841
00:43:00,840 --> 00:43:02,840
Speaker 2: show too, and we were talking about like white nationalism

842
00:43:02,920 --> 00:43:05,680
Speaker 2: two point zero and the rise of like active clubs

843
00:43:05,719 --> 00:43:08,040
Speaker 2: and things like that. Aside from like sort of those

844
00:43:08,080 --> 00:43:10,840
Speaker 2: groups and how they've sort of just like shifted or

845
00:43:10,880 --> 00:43:14,080
Speaker 2: what however they're going to participate in this upcoming year

846
00:43:14,160 --> 00:43:17,320
Speaker 2: or next few years. What can what do you think

847
00:43:17,480 --> 00:43:20,640
Speaker 2: people can expect to see from these right wing groups

848
00:43:20,640 --> 00:43:23,160
Speaker 2: in terms of what sort of activities they feel like

849
00:43:23,200 --> 00:43:25,239
Speaker 2: they're invested in, in terms of like the build up

850
00:43:25,280 --> 00:43:25,800
Speaker 2: to the election.

851
00:43:26,440 --> 00:43:29,920
Speaker 4: Yeah, I mean I prepare for a lot of ads,

852
00:43:30,000 --> 00:43:33,240
Speaker 4: a lot of very gross discussing ads in your YouTube

853
00:43:33,239 --> 00:43:35,959
Speaker 4: and your Spotify is and your everything. I would also

854
00:43:36,040 --> 00:43:42,000
Speaker 4: say that at least from my perspective, viral content and

855
00:43:42,080 --> 00:43:44,279
Speaker 4: like and like just changes of language. I mean, like

856
00:43:44,320 --> 00:43:48,200
Speaker 4: people use red pill in Selly style language as on

857
00:43:48,239 --> 00:43:50,040
Speaker 4: the regular even if you are in the community. Now

858
00:43:50,120 --> 00:43:52,640
Speaker 4: it's just now part of the language of being online.

859
00:43:53,160 --> 00:43:58,560
Speaker 4: And I think that expecting feeling a weird like right

860
00:43:58,600 --> 00:44:01,400
Speaker 4: wing ideology shift, I mean, like this whole I mean,

861
00:44:01,440 --> 00:44:03,799
Speaker 4: I'm seeing at a lot of trad wife content, a

862
00:44:03,840 --> 00:44:07,240
Speaker 4: lot of a lot of white supremacists, like word usage

863
00:44:07,440 --> 00:44:10,719
Speaker 4: or meme templates. I mean that's only going to get

864
00:44:10,920 --> 00:44:14,400
Speaker 4: more and more frequent. Feeling like everyone in your feetus

865
00:44:14,440 --> 00:44:18,759
Speaker 4: constantly has some weird, disgusting worldview where everyone's out for

866
00:44:18,800 --> 00:44:22,360
Speaker 4: themselves and the outsiders and the freaks are trying to

867
00:44:22,440 --> 00:44:24,320
Speaker 4: ruin your life, and like that's what's going to feel like.

868
00:44:24,360 --> 00:44:28,080
Speaker 4: It's a constant messaging wherever you go, and people are

869
00:44:28,200 --> 00:44:31,040
Speaker 4: very much invested in making it feel like you should

870
00:44:31,080 --> 00:44:33,520
Speaker 4: be scared all the time. The fact that you were

871
00:44:33,560 --> 00:44:35,120
Speaker 4: upset and the things are going well for you is

872
00:44:35,160 --> 00:44:39,960
Speaker 4: somebody else's well that you should specifically blame. And solutions

873
00:44:39,960 --> 00:44:44,120
Speaker 4: that aren't that or more nuanced in depth conversations are

874
00:44:44,120 --> 00:44:46,680
Speaker 4: probably going to feel less like a part of your

875
00:44:46,760 --> 00:44:47,880
Speaker 4: daily conversations.

876
00:44:49,160 --> 00:44:51,160
Speaker 2: So like, right, that's a lot of it is now

877
00:44:51,280 --> 00:44:54,080
Speaker 2: just sort of shifting to what can we create energetically

878
00:44:54,120 --> 00:44:56,239
Speaker 2: as an environment for people to operate in and then

879
00:44:56,239 --> 00:44:59,319
Speaker 2: hopefully that will nudge people in the right direction or

880
00:44:59,440 --> 00:45:02,719
Speaker 2: just this way them from doing anything at all. That's

881
00:45:02,719 --> 00:45:08,640
Speaker 2: some yeah, yeah, so grim, especially now when you look

882
00:45:08,680 --> 00:45:11,719
Speaker 2: at just like the rise of like AI shit and

883
00:45:12,080 --> 00:45:14,319
Speaker 2: the like all this deep fake stuff that's happening that

884
00:45:14,880 --> 00:45:17,160
Speaker 2: can already like i mean, we're already seeing it and

885
00:45:17,200 --> 00:45:19,640
Speaker 2: here little flashes here and there.

886
00:45:19,640 --> 00:45:22,200
Speaker 1: Are you, Yeah, as somebody who's like paying attention to

887
00:45:22,200 --> 00:45:25,800
Speaker 1: misinformation online. You know, we've done a couple episodes about

888
00:45:25,800 --> 00:45:29,680
Speaker 1: AI and you know we're somewhere between. This shit is

889
00:45:29,680 --> 00:45:33,640
Speaker 1: scary too. Also, like the way companies are using it

890
00:45:33,760 --> 00:45:36,840
Speaker 1: is kind of like hamfested and not not that impressive

891
00:45:37,080 --> 00:45:40,719
Speaker 1: at this point, but just generally, like, I know, my

892
00:45:40,840 --> 00:45:43,200
Speaker 1: job has gotten harder when it comes to being able

893
00:45:43,239 --> 00:45:46,239
Speaker 1: to like find reputable information on the Internet. I can

894
00:45:46,280 --> 00:45:50,480
Speaker 1: only imagine what it's like in the trenches, Like as

895
00:45:50,520 --> 00:45:54,839
Speaker 1: you are trying to track trends and things like that,

896
00:45:55,280 --> 00:45:59,280
Speaker 1: are you how much of that is the new technologies

897
00:45:59,480 --> 00:46:02,040
Speaker 1: that are answering how much of that is that the

898
00:46:02,120 --> 00:46:07,320
Speaker 1: companies have completely given up on raining it in at all?

899
00:46:07,920 --> 00:46:11,520
Speaker 1: And just yeah, I'm curious to hear your overall thoughts

900
00:46:11,560 --> 00:46:15,360
Speaker 1: on the state of the union when it comes to

901
00:46:15,520 --> 00:46:16,840
Speaker 1: disinformation online.

902
00:46:17,040 --> 00:46:17,279
Speaker 5: Yeah.

903
00:46:17,360 --> 00:46:19,080
Speaker 4: I mean when I was when I was doing work

904
00:46:19,120 --> 00:46:23,959
Speaker 4: in twenty twenty, I marveled to my coworkers about like, like, wow,

905
00:46:24,040 --> 00:46:27,680
Speaker 4: people on the right spend so much time doing illustrations

906
00:46:27,680 --> 00:46:31,040
Speaker 4: and making like interesting meme and art to like just

907
00:46:31,280 --> 00:46:34,400
Speaker 4: flood these systems And I would like reverse image search

908
00:46:34,520 --> 00:46:37,920
Speaker 4: constantly because there's always new things being made with AI.

909
00:46:38,200 --> 00:46:41,040
Speaker 4: I feel like that's only getting more frequent and worse

910
00:46:42,000 --> 00:46:44,680
Speaker 4: with disinformation. I mean, when I'm doing what I'm doing

911
00:46:44,719 --> 00:46:47,319
Speaker 4: reports on the daily for my job, I have to

912
00:46:47,400 --> 00:46:49,160
Speaker 4: generally go back and fact jack and see how people

913
00:46:49,200 --> 00:46:52,960
Speaker 4: are saying this what's actually happening and find that information. Now,

914
00:46:53,160 --> 00:46:55,840
Speaker 4: especially if it's a smaller local story that doesn't have

915
00:46:55,880 --> 00:46:58,440
Speaker 4: a bunch of news art news outlets on, it is

916
00:46:58,520 --> 00:47:01,239
Speaker 4: so difficult to like see what they're saying true or not.

917
00:47:01,400 --> 00:47:03,520
Speaker 4: I don't want to just like write them all completely

918
00:47:03,600 --> 00:47:05,360
Speaker 4: as being like everyththday is a lie, and like I

919
00:47:05,400 --> 00:47:07,120
Speaker 4: want to actually do my research. But if there's not

920
00:47:07,560 --> 00:47:09,800
Speaker 4: a local news article about it or someone or like

921
00:47:09,840 --> 00:47:13,040
Speaker 4: a reparatable source like trying to figure out something is

922
00:47:13,080 --> 00:47:15,040
Speaker 4: true that they're saying, I'm like, they're saying it, I

923
00:47:15,120 --> 00:47:17,239
Speaker 4: honestly believe them, but there's nowhere else to look to

924
00:47:17,280 --> 00:47:20,320
Speaker 4: find different information. And I think that's one of the

925
00:47:20,360 --> 00:47:23,200
Speaker 4: bigger issues. I mean, I mean, obviously Twitter has the

926
00:47:23,239 --> 00:47:26,240
Speaker 4: community know this thing, which is you know, biased at best,

927
00:47:27,000 --> 00:47:30,480
Speaker 4: but like having reliable that check, especially for things that

928
00:47:30,560 --> 00:47:33,120
Speaker 4: are more local or on a smaller scale, is like

929
00:47:33,480 --> 00:47:36,640
Speaker 4: you're only getting the right way narrative of any event

930
00:47:36,840 --> 00:47:39,120
Speaker 4: and to find the truth or like the non biased

931
00:47:39,160 --> 00:47:42,399
Speaker 4: thing is just so difficult, and I don't I don't

932
00:47:42,440 --> 00:47:45,800
Speaker 4: know how that's changing how people perceive current events or

933
00:47:46,000 --> 00:47:49,960
Speaker 4: or local events or just like regular takes on everyday life.

934
00:47:49,960 --> 00:47:52,799
Speaker 4: If they're only seeing one side and like even if

935
00:47:52,800 --> 00:47:55,520
Speaker 4: they don't like that person like that opinion, there's no

936
00:47:55,680 --> 00:47:58,360
Speaker 4: other opinion or other side to look at to balance

937
00:47:58,360 --> 00:47:59,920
Speaker 4: it out and define the truth in the middle.

938
00:48:00,560 --> 00:48:03,719
Speaker 1: Yeah, why do you think these big social media companies

939
00:48:03,760 --> 00:48:07,200
Speaker 1: gave up so completely? Like it seems like this would

940
00:48:07,239 --> 00:48:09,839
Speaker 1: be a time when you would be able to make

941
00:48:09,880 --> 00:48:11,960
Speaker 1: a name for yourself by being the one place that

942
00:48:12,040 --> 00:48:15,360
Speaker 1: actually tries to fact check. On the other hand, it

943
00:48:15,440 --> 00:48:20,279
Speaker 1: was already an extremely difficult task to fact check all

944
00:48:20,280 --> 00:48:23,440
Speaker 1: the misinformation, and now it's getting more difficult. Is it

945
00:48:23,680 --> 00:48:27,319
Speaker 1: just kind of that combination because we've also talked about

946
00:48:27,360 --> 00:48:33,000
Speaker 1: how most corporate entities have like gone away from doing

947
00:48:33,040 --> 00:48:37,080
Speaker 1: good from that idea being like, you know, it was

948
00:48:37,160 --> 00:48:42,480
Speaker 1: never their main driving impulse, but it was like fashionable

949
00:48:42,520 --> 00:48:44,920
Speaker 1: for a little bit to like have these ESG programs

950
00:48:44,960 --> 00:48:47,640
Speaker 1: and stuff. And now it's like a bad word to

951
00:48:47,719 --> 00:48:52,200
Speaker 1: say that you're investing in those things. Like where do

952
00:48:52,239 --> 00:48:55,799
Speaker 1: you think that kind of giving up came from?

953
00:48:56,040 --> 00:48:58,200
Speaker 4: I think there are like a few things. One of

954
00:48:58,320 --> 00:49:01,240
Speaker 4: the first things I'm thinking is that, like I remember

955
00:49:01,280 --> 00:49:04,080
Speaker 4: when they started to do kind of disinformation countering and

956
00:49:04,080 --> 00:49:05,759
Speaker 4: started to do this efforts, they got a lot of

957
00:49:05,880 --> 00:49:11,040
Speaker 4: pushback from actual Republicans in Congress because they'd be like,

958
00:49:11,120 --> 00:49:13,480
Speaker 4: my statement is getting fact checked and flagged the day

959
00:49:13,480 --> 00:49:18,080
Speaker 4: isn't true. And it's like when you start to objectively

960
00:49:18,120 --> 00:49:21,640
Speaker 4: go about what is true information or not, Hey, a

961
00:49:21,719 --> 00:49:23,759
Speaker 4: real person has to trasically go through every single thing.

962
00:49:23,840 --> 00:49:25,640
Speaker 4: If someone doesn't get a joke, it doesn't understand that

963
00:49:25,640 --> 00:49:26,960
Speaker 4: there's the satire.

964
00:49:26,880 --> 00:49:28,520
Speaker 5: That actisms get caught in the middle of it.

965
00:49:28,800 --> 00:49:33,080
Speaker 4: But then also people who are making inflammatory rhetoric then

966
00:49:33,200 --> 00:49:36,000
Speaker 4: who are elected officials also get caught in that. And

967
00:49:36,040 --> 00:49:40,600
Speaker 4: then it starts looking to Republicans mostly that this platform

968
00:49:40,640 --> 00:49:43,080
Speaker 4: is being biased because it's censoring you Republicans. Now they're really

969
00:49:43,120 --> 00:49:45,080
Speaker 4: bing narrative for a long time with that, social media

970
00:49:45,120 --> 00:49:48,319
Speaker 4: companies are censoring the right because you put something up

971
00:49:48,360 --> 00:49:52,799
Speaker 4: that's like the COVID nineteen vaccine causes autism, and then

972
00:49:52,800 --> 00:49:55,239
Speaker 4: you get flagged and it's like, well, then of course

973
00:49:55,239 --> 00:49:57,480
Speaker 4: you're going to get flagged, But then if that happens

974
00:49:58,040 --> 00:50:01,200
Speaker 4: in a weird biased scaategory, then like you think that

975
00:50:01,200 --> 00:50:05,000
Speaker 4: that's a negative or like it's a targeted harassment campaign

976
00:50:05,120 --> 00:50:08,760
Speaker 4: from the social media company. Also the fact that rage

977
00:50:08,800 --> 00:50:12,120
Speaker 4: clicks make money. People engage with things when it makes

978
00:50:12,120 --> 00:50:14,400
Speaker 4: you mad, and so there's not really a financial benefit

979
00:50:14,440 --> 00:50:16,919
Speaker 4: of having that not be there. And also like, yeah,

980
00:50:17,040 --> 00:50:19,640
Speaker 4: real people have to go through and moderate spaces. I

981
00:50:19,680 --> 00:50:22,840
Speaker 4: spend a lot of time submitting posts for moderation or

982
00:50:22,840 --> 00:50:25,799
Speaker 4: flogging posts for a boarding posts because it's like this

983
00:50:25,840 --> 00:50:28,160
Speaker 4: person missed this, and it's like a lot. I mean,

984
00:50:28,280 --> 00:50:31,719
Speaker 4: especially Twitter slash x they cut down their moderation team

985
00:50:31,840 --> 00:50:36,360
Speaker 4: basically zero, and Facebook already doesn't really have a super

986
00:50:36,360 --> 00:50:38,440
Speaker 4: big one that's always on the clock. So it's like

987
00:50:38,480 --> 00:50:42,279
Speaker 4: you're asking a team of fifteen people to monitor the

988
00:50:42,400 --> 00:50:43,480
Speaker 4: entirety of Facebook.

989
00:50:43,520 --> 00:50:44,680
Speaker 5: That's a really big ass.

990
00:50:44,760 --> 00:50:47,319
Speaker 4: They're going to miss stuff, and so it's like they

991
00:50:47,360 --> 00:50:50,440
Speaker 4: have the company has to invest in hiring your people

992
00:50:50,680 --> 00:50:54,600
Speaker 4: and setting stronger, more specific guidelines and then also adhering

993
00:50:54,640 --> 00:50:56,640
Speaker 4: to those guidelines, even at the person that they're adhering

994
00:50:56,680 --> 00:50:59,440
Speaker 4: to brings no a lot of traffic and money to

995
00:50:59,480 --> 00:51:03,759
Speaker 4: the platform. It's like there's not a ton of upfront incentive.

996
00:51:04,520 --> 00:51:06,279
Speaker 1: So it's the stuff that's always been true. It's just

997
00:51:06,520 --> 00:51:10,160
Speaker 1: again like the public they just got tired of like

998
00:51:10,280 --> 00:51:13,840
Speaker 1: resisting the main impulse of capitalism to be like, yeah, no,

999
00:51:14,480 --> 00:51:17,879
Speaker 1: you can do that. It's not profitable and you'll get

1000
00:51:17,880 --> 00:51:21,280
Speaker 1: fired for doing it, but yeah, no, go ahead, it's great.

1001
00:51:21,400 --> 00:51:24,640
Speaker 1: That looks great on you. After a while, the forces

1002
00:51:24,800 --> 00:51:26,600
Speaker 1: just kind of wear you down.

1003
00:51:27,080 --> 00:51:29,799
Speaker 2: Yeah, exactly. Well, then also just how much we've seen

1004
00:51:29,840 --> 00:51:32,839
Speaker 2: how much conservatives have just worn even the media down

1005
00:51:32,920 --> 00:51:36,759
Speaker 2: to be like, how dare you well fact check the

1006
00:51:36,800 --> 00:51:40,440
Speaker 2: words I say? You're trying to silence me, and like

1007
00:51:40,560 --> 00:51:42,920
Speaker 2: there's no they're like, fuck man, I don't. We don't

1008
00:51:42,960 --> 00:51:44,760
Speaker 2: have the will to push back, or we're not getting

1009
00:51:44,760 --> 00:51:46,919
Speaker 2: the directive from the people high up to push back.

1010
00:51:46,960 --> 00:51:49,279
Speaker 2: So it's just kind of like, Okay, I guess we'll

1011
00:51:49,280 --> 00:51:52,799
Speaker 2: just please appease them, and then you event you end

1012
00:51:52,880 --> 00:51:54,759
Speaker 2: up in this sort of place where it's like too

1013
00:51:54,840 --> 00:51:57,879
Speaker 2: much of a hassle to follow through on those kinds

1014
00:51:57,880 --> 00:52:00,200
Speaker 2: of things, and it's kind of like it's a little

1015
00:52:00,239 --> 00:52:03,319
Speaker 2: unsettling Sabine, right, because with everything you're saying, it's like,

1016
00:52:03,360 --> 00:52:07,520
Speaker 2: you know, they're they're not the fucking platforms aren't going

1017
00:52:07,600 --> 00:52:10,879
Speaker 2: to do anything. They're fucking just doing their own thing,

1018
00:52:11,000 --> 00:52:13,120
Speaker 2: putting out their own news. That is going to be

1019
00:52:13,160 --> 00:52:14,919
Speaker 2: the first point of contact for a lot of people

1020
00:52:14,960 --> 00:52:16,840
Speaker 2: if they're looking at like one of these stories or

1021
00:52:16,840 --> 00:52:21,439
Speaker 2: manufactured sort of scandals or whatever it. What is the

1022
00:52:21,560 --> 00:52:26,879
Speaker 2: role that normal people can play in sort of countering this,

1023
00:52:27,080 --> 00:52:29,000
Speaker 2: Like not to say that like now you need to

1024
00:52:29,000 --> 00:52:32,080
Speaker 2: get on your moderation shit and start like hopping in

1025
00:52:32,160 --> 00:52:35,120
Speaker 2: these spaces, but like what what is like like what

1026
00:52:35,200 --> 00:52:36,960
Speaker 2: are the sort of steps because I feel like all

1027
00:52:36,960 --> 00:52:38,720
Speaker 2: the time you hear about like a Project twenty twenty

1028
00:52:38,719 --> 00:52:40,319
Speaker 2: five or like these other things are like what what

1029
00:52:40,400 --> 00:52:42,440
Speaker 2: the fuck? Like what I mean not that this is

1030
00:52:42,440 --> 00:52:45,200
Speaker 2: specifically to that, but you're like, what do what is

1031
00:52:45,200 --> 00:52:47,759
Speaker 2: the left doing anything about Project twenty twenty five? Not

1032
00:52:47,800 --> 00:52:51,600
Speaker 2: that I can see, But for regular people who are

1033
00:52:51,640 --> 00:52:54,200
Speaker 2: witnessing this kind of evolution, I'm sure many people already

1034
00:52:54,200 --> 00:52:56,680
Speaker 2: live in areas where they are seeing like white Pride

1035
00:52:56,719 --> 00:53:00,360
Speaker 2: stickers or they're getting fucking KKK Nazi shit thrown in

1036
00:53:00,360 --> 00:53:02,680
Speaker 2: their driveway and is it block bag filled with rocks

1037
00:53:02,719 --> 00:53:06,360
Speaker 2: and stuff like that is what is the response or

1038
00:53:06,440 --> 00:53:10,080
Speaker 2: what is the what kind of networks of people or

1039
00:53:10,200 --> 00:53:12,839
Speaker 2: can be created or things can be done to sort

1040
00:53:12,840 --> 00:53:13,320
Speaker 2: of counter that?

1041
00:53:13,800 --> 00:53:17,799
Speaker 4: Yeah, I mean so online, particularly because most of my expertise,

1042
00:53:18,480 --> 00:53:20,920
Speaker 4: there are always some forms of practice that I think

1043
00:53:20,960 --> 00:53:23,120
Speaker 4: I would endorse. I know people are like, hey, well

1044
00:53:23,120 --> 00:53:25,760
Speaker 4: you're dunking on someone's screenshot and then do the dumps.

1045
00:53:25,760 --> 00:53:28,280
Speaker 4: They don't get the engagement if your tweet goes viral.

1046
00:53:28,640 --> 00:53:34,960
Speaker 4: There's also just I guess not encouraging behavior. Maybe if

1047
00:53:34,960 --> 00:53:36,839
Speaker 4: we're not dunking at all, if you can help it,

1048
00:53:37,280 --> 00:53:40,040
Speaker 4: If you see a tweet or you see a headline,

1049
00:53:40,600 --> 00:53:42,759
Speaker 4: take the extra time to see if it's actually true

1050
00:53:42,800 --> 00:53:45,919
Speaker 4: before before you share it, before you then again make

1051
00:53:45,960 --> 00:53:49,120
Speaker 4: outrage bait. A lot of a lot of particularly right

1052
00:53:49,280 --> 00:53:52,120
Speaker 4: accounts make their money and get their influence from being

1053
00:53:52,160 --> 00:53:56,239
Speaker 4: inflammatory and like and triggering that like the instant thing

1054
00:53:56,280 --> 00:53:58,160
Speaker 4: you to get mess and that you know isn't right

1055
00:53:58,280 --> 00:54:01,440
Speaker 4: or that you know isn't true, and like taking the

1056
00:54:01,480 --> 00:54:04,799
Speaker 4: time to like step back, think about is it worth

1057
00:54:04,800 --> 00:54:07,000
Speaker 4: it to engage? Is it worth it if it really

1058
00:54:07,160 --> 00:54:10,560
Speaker 4: is a narrative you want a counter, screenshot it and

1059
00:54:10,640 --> 00:54:11,920
Speaker 4: talk about it on your own things so they don't

1060
00:54:11,920 --> 00:54:14,160
Speaker 4: get the engagement, or and they make sure you can

1061
00:54:14,239 --> 00:54:18,239
Speaker 4: like double check fact check whatever you're sharing, like and

1062
00:54:18,280 --> 00:54:22,319
Speaker 4: not just doing an immediate emotional share offline. I would

1063
00:54:22,360 --> 00:54:25,640
Speaker 4: say that, at least for me, there are tons of

1064
00:54:25,640 --> 00:54:29,040
Speaker 4: people in my community have heard stuff or said stuff,

1065
00:54:29,120 --> 00:54:30,719
Speaker 4: or like kids will come home and say anything that

1066
00:54:30,719 --> 00:54:34,120
Speaker 4: they've heard at school, and like it all feels in

1067
00:54:34,160 --> 00:54:36,880
Speaker 4: the moment like a one off instance of someone being shitty,

1068
00:54:37,160 --> 00:54:40,600
Speaker 4: and like it honestly, it can be more than that,

1069
00:54:40,640 --> 00:54:42,760
Speaker 4: and it can foster a bi it like that's okay,

1070
00:54:42,960 --> 00:54:45,200
Speaker 4: and so like not letting those things slide or let

1071
00:54:45,239 --> 00:54:47,680
Speaker 4: lie or have just brushing them off. I know, like

1072
00:54:47,760 --> 00:54:50,600
Speaker 4: in my hometown, my parents will walking by your school,

1073
00:54:50,600 --> 00:54:53,319
Speaker 4: someoney changed it to say a bunch of slurs and

1074
00:54:53,400 --> 00:54:56,040
Speaker 4: like pro Nazi stuff. When everyone was on vacation, we

1075
00:54:56,160 --> 00:54:58,880
Speaker 4: took a picture of it, put it in the county

1076
00:54:59,160 --> 00:55:00,960
Speaker 4: Facebook group and stea, hey, this isn't cool when you

1077
00:55:01,080 --> 00:55:03,760
Speaker 4: talk about this. When we had a conversation about talking

1078
00:55:03,760 --> 00:55:06,040
Speaker 4: to your kids, if you have teenagers or anything in

1079
00:55:06,040 --> 00:55:07,719
Speaker 4: the area, make sure you're talking about what is there

1080
00:55:07,760 --> 00:55:10,040
Speaker 4: is not appropriate to do, and what is this not

1081
00:55:10,080 --> 00:55:13,319
Speaker 4: true about minority groups? Des me that you can do

1082
00:55:13,440 --> 00:55:15,880
Speaker 4: to kind of like not just let it be a

1083
00:55:15,920 --> 00:55:18,360
Speaker 4: shitty thing that you saw and then now have to

1084
00:55:19,320 --> 00:55:21,799
Speaker 4: I guess ignore a rush up.

1085
00:55:22,400 --> 00:55:22,560
Speaker 5: I know.

1086
00:55:22,680 --> 00:55:27,399
Speaker 4: Also, my company I See has a program called Strong

1087
00:55:27,440 --> 00:55:33,040
Speaker 4: City's Network where they do deradicalization programming, trainings and classes

1088
00:55:33,080 --> 00:55:36,200
Speaker 4: for city officials, for local officials, for community members about

1089
00:55:36,360 --> 00:55:39,640
Speaker 4: what you can do to foster an environment where extremism

1090
00:55:39,640 --> 00:55:42,600
Speaker 4: doesn't feel welcome or safe in your area. There are

1091
00:55:42,840 --> 00:55:46,040
Speaker 4: I think already existing anti hate groups that are either

1092
00:55:46,160 --> 00:55:48,200
Speaker 4: national or that could be in your state. I know

1093
00:55:48,320 --> 00:55:52,200
Speaker 4: that Virginia where I live, certainly has some, and seeking

1094
00:55:52,200 --> 00:55:54,279
Speaker 4: out those groups and participating is also great to feel

1095
00:55:54,280 --> 00:55:56,320
Speaker 4: like you're doing something, you're getting involved.

1096
00:55:56,239 --> 00:55:58,799
Speaker 2: Right, Yeah, I think it's It's also I mean, it's

1097
00:55:58,880 --> 00:56:01,480
Speaker 2: kind of a really interesting point where it's like so

1098
00:56:01,640 --> 00:56:05,200
Speaker 2: much of the engagement that these inflammatory accounts get is

1099
00:56:05,239 --> 00:56:08,279
Speaker 2: purely because of the reaction from people on the other

1100
00:56:08,440 --> 00:56:10,480
Speaker 2: end of the spectrum, and it's like sort of like

1101
00:56:10,640 --> 00:56:12,400
Speaker 2: it's that easy for them. It's like, dude, all you

1102
00:56:12,440 --> 00:56:15,240
Speaker 2: gotta do is just say this and then it blows

1103
00:56:15,360 --> 00:56:16,520
Speaker 2: up and its.

1104
00:56:16,760 --> 00:56:20,520
Speaker 1: People dunk on you and then their content becomes your content.

1105
00:56:20,600 --> 00:56:23,160
Speaker 2: Right exactly, and then it's like sort of like yeah,

1106
00:56:23,200 --> 00:56:25,359
Speaker 2: I mean one of the biggest ways to sort of

1107
00:56:25,400 --> 00:56:27,960
Speaker 2: like pull the rug out from under them is to also,

1108
00:56:28,160 --> 00:56:29,840
Speaker 2: like to your point is like if you're going to

1109
00:56:29,920 --> 00:56:32,080
Speaker 2: talk about it, maybe don't share the handle or just

1110
00:56:32,160 --> 00:56:35,440
Speaker 2: take the screenshot so that actual individual post isn't getting

1111
00:56:35,440 --> 00:56:39,319
Speaker 2: the sort of engagement that they need to feed the algorithms.

1112
00:56:39,320 --> 00:56:41,240
Speaker 2: It kind of blows the eyes. It's like, just remember

1113
00:56:41,719 --> 00:56:43,719
Speaker 2: a lot of this shit while it is upsetting, it's

1114
00:56:43,840 --> 00:56:46,040
Speaker 2: the intent is for you to interact with it, so

1115
00:56:46,120 --> 00:56:49,440
Speaker 2: the message goes further and wider. And that's like just

1116
00:56:49,480 --> 00:56:52,200
Speaker 2: such a super subtle thing that Yeah, to think about

1117
00:56:52,239 --> 00:56:56,120
Speaker 2: how it's like, yeah, it's kind of like a Rube

1118
00:56:56,120 --> 00:56:58,120
Speaker 2: Goldberg machine that it's just kind of like, yeah, man,

1119
00:56:58,120 --> 00:56:59,799
Speaker 2: I'll get it this one thing and it can do

1120
00:57:00,560 --> 00:57:03,360
Speaker 2: next thing. You know, it's setting off all kinds of

1121
00:57:03,360 --> 00:57:04,239
Speaker 2: alarm bells.

1122
00:57:04,800 --> 00:57:07,680
Speaker 1: Yeah, Well, Sabine Lawrence, such a pleasure having you on

1123
00:57:07,719 --> 00:57:11,440
Speaker 1: the show. Yeah, where can people find you? Follow you

1124
00:57:11,680 --> 00:57:12,600
Speaker 1: all that kod stuff.

1125
00:57:12,840 --> 00:57:15,880
Speaker 4: I'm on Twitter, slash x my at is on Galliant

1126
00:57:16,080 --> 00:57:18,640
Speaker 4: for hire. With the number four as a for hire.

1127
00:57:18,680 --> 00:57:20,240
Speaker 4: I can put it in the chat so you can

1128
00:57:20,400 --> 00:57:22,760
Speaker 4: put on the screen or anything. And that's the only

1129
00:57:22,800 --> 00:57:27,440
Speaker 4: place besides like I I have papers sometimes I dispatch

1130
00:57:27,440 --> 00:57:31,280
Speaker 4: it sometimes that are posted to Twitter, to LinkedIn and

1131
00:57:31,400 --> 00:57:33,400
Speaker 4: also just on the ISIC website.

1132
00:57:33,600 --> 00:57:36,640
Speaker 1: Amazing. And is there a work of media that you've

1133
00:57:36,680 --> 00:57:37,360
Speaker 1: been enjoying.

1134
00:57:37,960 --> 00:57:43,280
Speaker 4: Yes, I currently have been enjoying a lot of Jack Staubert.

1135
00:57:43,680 --> 00:57:46,960
Speaker 4: He's like he was on Adult Swim a lot, and

1136
00:57:47,080 --> 00:57:51,280
Speaker 4: he does these really cool clamation and like techno pop

1137
00:57:51,440 --> 00:57:53,480
Speaker 4: works and it's my favorite artists.

1138
00:57:53,760 --> 00:57:58,120
Speaker 1: Cool, no nice. And we will link off to Sabine's

1139
00:57:58,520 --> 00:58:02,080
Speaker 1: Twitter handle in the notes notes Miles, where can people

1140
00:58:02,120 --> 00:58:04,200
Speaker 1: find you? Is there a workimedia you've been enjoying?

1141
00:58:04,440 --> 00:58:08,160
Speaker 2: Yes, my name does not have a Tolkien reference in

1142
00:58:08,200 --> 00:58:10,600
Speaker 2: the handle, but you can find me at the at

1143
00:58:10,640 --> 00:58:14,840
Speaker 2: based platforms Miles of Gray, and also find Jack and

1144
00:58:14,840 --> 00:58:17,560
Speaker 2: I on our basketball podcast Miles and Jack Got Mad Boosties.

1145
00:58:17,600 --> 00:58:19,320
Speaker 2: And if you like a bit of a ninety day Fiance,

1146
00:58:19,480 --> 00:58:21,640
Speaker 2: I also talk about that a mile off time that's

1147
00:58:21,640 --> 00:58:24,439
Speaker 2: on four to twenty day Fiance. Check that podcast out

1148
00:58:24,920 --> 00:58:28,480
Speaker 2: a tweet. It's actually a TikTok because your boy's been

1149
00:58:28,480 --> 00:58:33,000
Speaker 2: scrolling and there's this one account at Casey Winnie. This

1150
00:58:33,040 --> 00:58:35,720
Speaker 2: woman she's been doing just like these very subtle things,

1151
00:58:35,760 --> 00:58:38,400
Speaker 2: like you know, imagine the first person, like the first

1152
00:58:38,400 --> 00:58:40,880
Speaker 2: pirate to say are And I think she first started

1153
00:58:40,920 --> 00:58:43,320
Speaker 2: going viral because she was doing her own version of

1154
00:58:43,440 --> 00:58:46,800
Speaker 2: Jennifer Coolidge going like er like she's like really good

1155
00:58:46,800 --> 00:58:50,080
Speaker 2: at that sound. But she's been like doing these just

1156
00:58:50,160 --> 00:58:52,960
Speaker 2: these videos, very simple, that's like hypothetical. And this one

1157
00:58:53,040 --> 00:58:55,560
Speaker 2: is called imagine the person who first replied after a

1158
00:58:55,600 --> 00:58:58,560
Speaker 2: wild crocodile. Even though it is in a wild crocodile.

1159
00:58:58,640 --> 00:59:00,160
Speaker 2: A lot of people were in the chat or the

1160
00:59:00,320 --> 00:59:02,480
Speaker 2: comments been like it's in a while crocodile.

1161
00:59:02,920 --> 00:59:04,520
Speaker 1: Let me just said after a while crocodile.

1162
00:59:04,640 --> 00:59:07,000
Speaker 2: Oh I've always had in a while crocodile. I mean

1163
00:59:07,040 --> 00:59:09,080
Speaker 2: where you are you in a while or after a

1164
00:59:09,080 --> 00:59:13,960
Speaker 2: while in a while? Okay, okay, Well look the country, Uh,

1165
00:59:14,280 --> 00:59:16,560
Speaker 2: there's so many more divisions that we even know about,

1166
00:59:16,600 --> 00:59:18,360
Speaker 2: you know, so it's good to get these things all

1167
00:59:18,400 --> 00:59:20,640
Speaker 2: out there. But this is the clip of it because

1168
00:59:20,680 --> 00:59:23,160
Speaker 2: I just love it's just like this reaction of the

1169
00:59:23,200 --> 00:59:28,320
Speaker 2: person who's just eating. But please listen to the background chatter,

1170
00:59:28,360 --> 00:59:31,080
Speaker 2: because that's what honestly makes the video so hilarious.

1171
00:59:31,640 --> 00:59:39,600
Speaker 4: Later, alligator after a while, crocodile waiting, Oh wow, how

1172
00:59:39,640 --> 00:59:40,760
Speaker 4: did you come up with that?

1173
00:59:41,600 --> 00:59:43,480
Speaker 3: A crocodile and an alligator?

1174
00:59:44,640 --> 00:59:50,000
Speaker 5: She's like, what's the square root of sixty four?

1175
00:59:50,760 --> 00:59:51,040
Speaker 1: Eight?

1176
00:59:51,280 --> 00:59:54,280
Speaker 2: Y'all, that's what the square root of sixty four is

1177
00:59:55,560 --> 01:00:00,760
Speaker 2: because it's eight. So anyway, her tiktoks are pretty hilarious.

1178
01:00:00,800 --> 01:00:02,480
Speaker 2: So yeah, shout out to that one.

1179
01:00:02,600 --> 01:00:04,439
Speaker 1: That's amazing. After a while.

1180
01:00:05,000 --> 01:00:10,760
Speaker 2: In a while, wow, you're guys, that's like me thinking

1181
01:00:10,760 --> 01:00:15,240
Speaker 2: about my trilobite love, going to that part of my brain.

1182
01:00:16,440 --> 01:00:19,600
Speaker 1: You can find me on Twitter at Jack Underscore Obrian.

1183
01:00:20,160 --> 01:00:24,720
Speaker 1: I liked a tweet there from Goose that is in

1184
01:00:24,760 --> 01:00:29,560
Speaker 1: the genre of lose yourself lyrics. Always like a fake

1185
01:00:29,640 --> 01:00:33,160
Speaker 1: lose yourself lyric. So his balls are sweaty, knees weak,

1186
01:00:33,280 --> 01:00:36,040
Speaker 1: balls are sweaty. They're sweaty on his sweater or already

1187
01:00:36,200 --> 01:00:40,400
Speaker 1: balls are sweaty. Just made me laugh.

1188
01:00:42,440 --> 01:00:43,840
Speaker 2: Art art art.

1189
01:00:45,040 --> 01:00:47,840
Speaker 1: You can find us on Twitter at daily Zeitgeist. We're

1190
01:00:47,840 --> 01:00:50,440
Speaker 1: at the Daily Zeitgeist on Instagram. We have Facebook fan

1191
01:00:50,480 --> 01:00:52,880
Speaker 1: page and a website, Daily zeitgeist dot com. Where we

1192
01:00:52,920 --> 01:00:56,800
Speaker 1: post our episodes and our footnotes. We'll link off to

1193
01:00:56,800 --> 01:00:59,040
Speaker 1: the information that we talked about in today's episode, as

1194
01:00:59,040 --> 01:01:03,360
Speaker 1: well as a song that we think you might enjoy. Miles,

1195
01:01:03,680 --> 01:01:05,880
Speaker 1: is there a song that you think people might enjoy? Yeah?

1196
01:01:06,000 --> 01:01:09,120
Speaker 2: Yeah, yeah there is out So a few days ago.

1197
01:01:09,400 --> 01:01:12,919
Speaker 2: Last week, I was talking about an Indonesian funk band

1198
01:01:12,960 --> 01:01:15,520
Speaker 2: called Aka. But when I was searching for them, I

1199
01:01:15,600 --> 01:01:19,640
Speaker 2: found another group called Aka. But if I think it's

1200
01:01:19,680 --> 01:01:24,360
Speaker 2: like an African funk band, like a psychedelic African band

1201
01:01:24,480 --> 01:01:27,360
Speaker 2: from the seventies, I couldn't find anything else. But this

1202
01:01:27,440 --> 01:01:29,480
Speaker 2: is what showed up. This track is called Shake Me

1203
01:01:29,920 --> 01:01:32,920
Speaker 2: by AKA, and it's it's just got like it's this

1204
01:01:33,040 --> 01:01:36,920
Speaker 2: that afro psychedelic vibe shit from the seventies and it's

1205
01:01:36,960 --> 01:01:39,680
Speaker 2: like really good funky horns, stuff like that. And you know,

1206
01:01:39,840 --> 01:01:41,640
Speaker 2: leve a live band, So check this one out. This

1207
01:01:41,800 --> 01:01:44,080
Speaker 2: is shake Me by AKA.

1208
01:01:44,880 --> 01:01:46,640
Speaker 1: We will link up to that in the footnotes. The

1209
01:01:46,720 --> 01:01:48,760
Speaker 1: Daily Zeiche is a production of my Heart Radio. For

1210
01:01:48,800 --> 01:01:51,720
Speaker 1: more podcasts from my Heart Radio, visit the iHeartRadio app

1211
01:01:51,760 --> 01:01:54,440
Speaker 1: Apple podcast. Wherever you listen to your favorite shows, that

1212
01:01:54,560 --> 01:01:57,560
Speaker 1: is gonna do it for us. This morning, we are

1213
01:01:57,640 --> 01:02:00,160
Speaker 1: back this afternoon to tell you what is trending and

1214
01:02:00,320 --> 01:02:01,280
Speaker 1: we will talk to you all then.

1215
01:02:01,480 --> 01:02:06,120
Speaker 2: Bye bye yeah