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Speaker 1: There Are No Girls on the Internet, as a production

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Speaker 1: of iHeartRadio and Unbossed Creative. I'm Bridget Tott and this

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Speaker 1: is there Are No Girls on the Internet.

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Speaker 2: Welcome to their No.

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Speaker 1: Girls on the Internet, where we explore the intersection of technology,

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Speaker 1: social media and identity. And this is another installment of

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Speaker 1: our weekly news roundup where we dig into all the

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Speaker 1: stories from the Internet that you might have missed so

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Speaker 1: you don't have to. And I am so excited to

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Speaker 1: be joined once again by their neural Girls on the Internet.

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Speaker 1: Super producer Joey Pat. Joey, thank you for being here

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Speaker 1: on Young Kapoor No Less.

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Speaker 2: Yes, thank you, Bridget, thanks for having me.

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Speaker 3: Yes the Young Kapor special starring Joey Pat, Let's go.

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Speaker 3: I did not partake in the Kapoor traditions this year

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Speaker 3: and nor do I any year because I didn't want

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Speaker 3: to so, which is usually.

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Speaker 1: A great clear reason, because I didn't feel like it,

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Speaker 1: like okay, it's like okay, like quick tangent on judaism

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Speaker 1: really quick something with GM before that's some people.

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Speaker 2: I guess people don't know is like if you're like.

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Speaker 3: If you're you're somebody who shouldn't fast, like you're somebody

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Speaker 3: who has like a health condition, or you're elderly or younger,

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Speaker 3: you're not supposed to like it's it's it's it's like genuinely,

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Speaker 3: and I think Ramanan has like a similar rule. Like

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Speaker 3: I think that is pretty common in most religions. But like,

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Speaker 3: so on the one hand, I'm like, I've you know,

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Speaker 3: had some issues with I'm remembering to eat in the past,

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Speaker 3: so I technically should not be fasting, So I'm like,

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Speaker 3: I have the medical excuse. However, on the other hand,

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Speaker 3: it is like I am more of a cultural Jew

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Speaker 3: and honestly, if I'm going to give up one holiday tradition,

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Speaker 3: this is kind of the easiest one to like go of.

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Speaker 3: But yeah, respected solidarity to all of my Jewish friends

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Speaker 3: and family out there that are fasting. Proud of you guys.

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Speaker 3: Is now past sunset so you can eat again. Congrats. Uh,

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Speaker 3: you are braver than I am.

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Speaker 1: Okay, Well, in that vein, I have a story that

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Speaker 1: I've put on here just frankly because I want your

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Speaker 1: take on it. Do you remember when we were talking

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Speaker 1: about how the Anti Defamation League or the ADL, which

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Speaker 1: is the self described anti Semitism watchdog and quote the

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Speaker 1: leading anti hate organization in the world. Do you remember

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Speaker 1: back when we talked about how Elon Musk did a

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Speaker 1: full on Nazi salute at the inauguration.

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Speaker 2: And the ADL was like, y'all, it's a joke. Calm down.

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Speaker 2: Do you remember this? Yes?

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Speaker 3: I do, and yes that is that is basically what happened.

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Speaker 3: Like I was not even paraphrasing. No, like, guys, calmed down,

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Speaker 3: like what okay?

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Speaker 1: Well, today, the FBI Director Cash Ptel announced that the

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Speaker 1: FBI is cutting ties with the ADL and ending the

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Speaker 1: FBI is long standing partnership where the ADL would work

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Speaker 1: with law enforcement to train them and share information about

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Speaker 1: anti sim extremism and all of that. Patel called the

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Speaker 1: ADL a quote extreme group functioning like a terrorist organization.

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Speaker 1: But they'll also sigled out the relationship that the ADL

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Speaker 1: has with former FBI Director James Comy, saying, oh, James

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Speaker 1: Comy wrote love letters to the ADL and then betted

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Speaker 1: FBI agents with them, a group that ran disgraceful op

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Speaker 1: spying on Americans.

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Speaker 2: That era is over.

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Speaker 1: This FBI won't partner with political fronts masquerading as watchdogs.

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Speaker 3: And this is clearly because the FBI has gone woke

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Speaker 3: and they understand that the ADL oftentimes uses very vague

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Speaker 3: definitions of what anti Semitism is to you know, curb

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Speaker 3: people that are protesting the state of Israel and some

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Speaker 3: there actions. Right now, that's obviously why, right, It's because

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Speaker 3: they care THATBI cares so much about like Palestinian human rights.

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Speaker 2: Obviously, I mean, I wish I could say it was that.

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Speaker 1: I wish I could say that that the ADL has

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Speaker 1: has the FBI is calling out the ADL for this. Basically,

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Speaker 1: what's going on is that the ADL published what they

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Speaker 1: called a glossary of hate and extremism on its site,

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Speaker 1: and it included things like Christian identity, which is an

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Speaker 1: ideology rooted in the idea that God only meant for

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Speaker 1: white folks to live in the garden of Eden, and

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Speaker 1: that Jewish folks are actually descended from the biblical serpent.

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Speaker 1: The ADL also listed Charlie Kirk's organization Turning Points USA

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Speaker 1: in its glossary, saying that Turning Points USA quote has

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Speaker 1: a history of bigoted statements about the black community, the

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Speaker 1: LGBTQ community, and specifically transgender people. Elon Musk did not

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Speaker 1: like this. He branded the ADEL a hate group and

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Speaker 1: accused them of encouraging murder, saying using such false and

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Speaker 1: infammatory labels about people and organizations it encourages murder. So

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Speaker 1: the ADL was like, We're sorry, and then just deleted

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Speaker 1: this glossary of hate and extremism from their site, and

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Speaker 1: they put out a statement saying at the same time,

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Speaker 1: an increasing number of entries in the glossary were outdated.

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Speaker 1: We also saw the number of entries being intentionally misrepresented

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Speaker 1: and misused. So something that I kind of can't stop

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Speaker 1: thinking about is who is the ADL for.

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Speaker 3: At this point, I know exactly who they're for, and

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Speaker 3: the same people that like Liz Cheney endorsing Kamala Harris

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Speaker 3: was for. It's for like this I think. I'm not

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Speaker 3: going to say imaginary, because they do exist. I just

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Speaker 3: think they are much smaller of a group, and I'm

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Speaker 3: like they have way much less power than I think

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Speaker 3: certain politicians kind of ascribe them to have. But it's

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Speaker 3: for this like small group of primarily white, upper middle

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Speaker 3: class liberals, some of whom may be Jewish, a lot

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Speaker 3: of whom probably aren't, but probably like think they're more

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Speaker 3: or less progressive, but still are holding a lot of

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Speaker 3: I would say racist beliefs toward certain groups or communities.

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Speaker 3: I think these are like the types of people that

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Speaker 3: are like, well, I think importations are good.

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Speaker 2: I just don't like what Ice is doing right now.

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Speaker 3: People that were willing to turn a blind eye when

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Speaker 3: the Biden administration was doing things you know that we're

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Speaker 3: hurting immigrant communities and queer people and trans people and

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Speaker 3: any other marginalized group, but now are up in arms

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Speaker 3: about it.

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Speaker 2: I think like that is who this is for. This

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Speaker 2: is one of those.

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Speaker 3: Stories where I there was a story like last week

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Speaker 3: that I think you said was like you were like,

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Speaker 3: this is setting off all of my Like this was

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Speaker 3: made perfectly.

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Speaker 2: In a laugh laugh, like this is this kind of thing.

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Speaker 3: Because on the one hand, I am one of the

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Speaker 3: ADL's biggest haters.

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Speaker 2: I will be upfront about that.

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Speaker 3: They are a terribly ron organization. The idea, great idea,

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Speaker 3: great concept. The way it's run horrible. The way that

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Speaker 3: they define what anti semitism is not accurate and deeply harmful.

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Speaker 3: They like this is a group that labels like prominent

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Speaker 3: Jewish activists and activist organizations as anti Semitic.

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Speaker 2: Right, but also so.

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Speaker 3: Cash patl uh not really somebody I want to be

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Speaker 3: putting my faith and trust in to you know, protect

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Speaker 3: us from white Christian, evangelical xenophobic.

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Speaker 2: Whatever.

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Speaker 4: Yeah.

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Speaker 3: Again, it's like I think like they did list that

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Speaker 3: they did on one hand, like list groups like Turning

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Speaker 3: Point and like this idea of like white Christian nationalism,

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Speaker 3: like it highlight a lot of these things. It also

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Speaker 3: was an organization that went after a lot of like

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Speaker 3: Black Lives Matter protesters and a lot of people that

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Speaker 3: were sort of aligned with Palestinian human rights, not even

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Speaker 3: like the liberation of a Palestinian state, like just straight

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Speaker 3: up like acknowledging that these are people that have rights.

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Speaker 3: So yeah, it's like I'm not really gonna this is

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Speaker 3: how I think for me, this is my Jimmy Kimmel

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Speaker 3: Like I'm I'm kind of like I don't want to

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Speaker 3: be defending this group, but in this one situation, I

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Speaker 3: guess I kind of have to be. I don't know

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Speaker 3: that maybe that was not the apt comparison, but no,

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Speaker 3: I know what you mean.

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Speaker 1: Where you don't it's like you find yourself defending organizations

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Speaker 1: and people that you're like I never thought I'd see

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Speaker 1: myself defending, but I want to ask you because I

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Speaker 1: feel like this is an example of what happens when

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Speaker 1: you kind of try to play ball and play nice

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Speaker 1: with like a fascist organization or a fascist regime. I

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Speaker 1: really think like there's state the statement that ADL put

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Speaker 1: out I found so sad so after Cash Battel called

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Speaker 1: them essentially a terrorist organization and Elon Musk that they

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Speaker 1: were essentially like helping people murder by making their claims online.

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Speaker 2: Their statement just said.

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Speaker 1: ADL has deep respect for the FBI and law enforcement

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Speaker 1: officers at all levels across the country who worked tirelessly

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Speaker 1: every single day to protect all Americans, regardless of their ancestry, religion, ethnicity, faith,

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Speaker 1: political affiliation.

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Speaker 2: Or any other point of difference.

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Speaker 1: There's that didn't even push back against these pretty big claims,

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Speaker 1: like they called you all terrorists, they said you were murderers,

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Speaker 1: and it's just like, oh, well, we respect the FBI.

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Speaker 1: I think that that's that toothless statement. It's like this is.

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Speaker 2: What happened, Like this is what happens when you play

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Speaker 2: ball with fascists.

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Speaker 3: No for real, I mean going back to like them

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Speaker 3: getting called out for doing their job and just having

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Speaker 3: this encyclopedia of hate groups and symbols and stuff like

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Speaker 3: that ideology which again I didn't always agree with stuff

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Speaker 3: they designated as hate groups. That being said, the fact

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Speaker 3: that they were like, oh, we received a little bit

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Speaker 3: of criticism from this, about this from the Christian right.

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Speaker 3: We're just gonna take it down and be like, oh,

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Speaker 3: we're so sorry. We love you Elon Musk. I mean,

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Speaker 3: like before, like Elon Musk kind of made his you know,

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Speaker 3: little hand gesture on TV and sort of like full

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Speaker 3: Nazi turn all of a sudden. There was a point

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Speaker 3: where Jonathan Greenblatt, who is the CEO of the was

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Speaker 3: like on Mike like praising me Elon Musk and being like, yes,

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Speaker 3: he's such an ally to the Jewish community.

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Speaker 2: We love him, He's great. Are we sure? Are we

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Speaker 2: sure about that? Like I don't know.

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Speaker 3: It is kind of like watching the ADL function for

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Speaker 3: the past like like since you know, I think since

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Speaker 3: I've become politically conscious, but also especially within the past year,

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Speaker 3: has been like yeah, it is like watching a train wreck,

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Speaker 3: but like watching a train wreck where there's like like

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Speaker 3: somebody waving with the sign that says I have a

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Speaker 3: bomb and they were like able to stop or change course,

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Speaker 3: and instead of doing that, they were like, well, why

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Speaker 3: would he have a bomb?

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Speaker 2: Yeah, he looks so nice. That's that's a good way

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Speaker 2: to describe it.

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Speaker 1: Do you think that there's a so the contingent that

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Speaker 1: you were speaking about that you think there's sort of

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Speaker 1: four right, like nice, polite, liberal white folks. Do you

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Speaker 1: think that this move with the FBI essentially calling them

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Speaker 1: an organization that functions like a terrorist organization? Do you

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Speaker 1: think that that will shrink the base of people who

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Speaker 1: like the ADL or look to the ADEL or respect

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Speaker 1: to the ideal, like is like are they are they?

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Speaker 2: Is it over for them? I don't know.

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Speaker 3: I do I think that like that specific again, and

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Speaker 3: this is generalizing about a large group of people. I

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Speaker 3: think that is like because the ADEL, because the ADL

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Speaker 3: has the reputation it does. I think this is like

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Speaker 3: a group that probably would look at this and just

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Speaker 3: be like, oh see, this is just further like they don't.

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Speaker 3: It's it's a group that doesn't like the Trump administration

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Speaker 3: either and doesn't like what the Trump administration is doing,

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Speaker 3: maybe not necessarily for like the same reasons that I

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Speaker 3: don't like them, and I don't like what they're doing, but.

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Speaker 2: They still don't like it.

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Speaker 3: So I mean, I'm thinking of again, like some of

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Speaker 3: the people in my life, particularly like older relatives that

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Speaker 3: are you know, consider themselves to be progressives, are democrats,

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Speaker 3: but I maybe don't necessarily see eydiye to them with

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Speaker 3: a lot of things. I think like there are time

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Speaker 3: people they would be just be like, oh my god,

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Speaker 3: I can't believe this is happening. This is insane, similar

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Speaker 3: to a lot of the things that have been happening lately.

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Speaker 3: Like I think there's just kind of been this response

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Speaker 3: of like, Wow, I can't believe they're doing this. That's terrible,

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Speaker 3: but that's illegal. I don't know, and it's like Okay,

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Speaker 3: well it's happening.

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Speaker 2: So I don't know.

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Speaker 3: I don't think this is gonna change the view of

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Speaker 3: the ADL to those specific people. I think the people

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Speaker 3: on the left that don't like the ADL, this probably

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Speaker 3: what you were saying. I think this is just gonna

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Speaker 3: kind of confirm like, yeah, this is what happens when

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Speaker 3: you fold too fascists and you give them.

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Speaker 2: A crumb, they're taking the whole cookie. They're you know,

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Speaker 2: I don't know, come in for the whole, damn cake, whole,

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Speaker 2: damn cake, hol buffet.

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Speaker 4: Let's take a quick break at our back.

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Speaker 2: Speaking of giving an inch, and they take a mile.

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Speaker 1: I didn't really want to talk about this, but it

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Speaker 1: looks like it's getting traction, so I'll talk about it.

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Speaker 2: And we haven't done this on the show in a while.

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Speaker 2: But do you want to know what Elon Musk is

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Speaker 2: up to? Oh God, what's Elon doing? Now?

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Speaker 4: Yeah?

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Speaker 2: That was it?

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Speaker 1: Yes, Well, Elon Musk is trying to drive a boycott

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Speaker 1: of Netflix. And that is because a children's show had

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Speaker 1: a trans character. And say, it is so even by

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Speaker 1: even by the standards of silliness that we are used to,

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Speaker 1: it is so fucking silly. So because this show had

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Speaker 1: a trans character, it's a kids show, he's saying that

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Speaker 1: it's transgender propaganda because according to trans philbs like him,

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Speaker 1: just any kind of media that acknowledges the existence of

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Speaker 1: trans people is transgender propaganda. The whole thing is so silly.

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Speaker 1: So here's what's going on. Basically, after Charlie Kirk was killed.

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Speaker 1: Side note the way that the way that people have

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Speaker 1: been using Charlie Kirk's death as a way to sort

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Speaker 1: of remake the fabric of our cultural society is the

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Speaker 1: quickness that they've tried to be like and I have

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Speaker 1: this grievance and that grievance that should be taken care of.

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Speaker 2: Has been very interesting. But Charlie Kirk was killed.

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Speaker 1: British Prime Minister Keir Starmer made a post about it

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Speaker 1: on social media. Hemi Steele, who is an animator and

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Speaker 1: the creator of a Netflix show called dead End Paranormal Park,

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Speaker 1: commented on the British Prime Minister's post, asking why, as

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Speaker 1: the Prime minister, are you commenting on the death of

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Speaker 1: a quote random Nazi libs of TikTok our old foe

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Speaker 1: of course saw this and retweets it and says you

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Speaker 1: will never guess who the creator of this show is.

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Speaker 1: A he Slash is a LGBTQ Blue Sky fan who

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Speaker 1: mocked Charlie Hirk's murder and called him a Nazi.

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Speaker 2: Also part of me is like, it's funny that she's

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Speaker 2: snuck Blue.

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Speaker 3: Sky Fan in there, Like I was gonna say, I'm

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Speaker 3: proud of her forgetting the he they specifically, I checked

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Speaker 3: the pronouns on Steele's bio.

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Speaker 2: Those are correct. Pronouns like a day, them were the

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Speaker 2: blue haired? They thems? But no, she went h he

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Speaker 2: they lgbt Q blue Sky fan. Get it right? What

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Speaker 2: are the other things? Like? This is so funny to me,

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Speaker 2: the things that she that she is like, you know

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Speaker 2: what I'm saying? He likes blue Sky.

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Speaker 3: So they're a millennial like, right, no offense, But I'm

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Speaker 3: none taken.

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Speaker 1: I'm a proud millennial. So then Lives of TikTok posts

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Speaker 1: another tweet saying, o MG, dead end. Paranormal Park, a

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Speaker 1: show on Netflix is pushing pro transgender on all caps children.

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Speaker 1: This show is advertised for seven year year old It's

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Speaker 1: being promoted on Netflix Kids Now Parents, All calves beware,

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Speaker 1: and then includes a very short scene from the show

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Speaker 1: where a character comes out as trans. So, because we

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Speaker 1: know he's a massive transphobe, this was a bat signal

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Speaker 1: to Elon Musk, and he was like, trans people existing

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Speaker 1: where I must bounce. So he tweeted that this was

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Speaker 1: quote not okay and rallied his followers to boycott Netflix.

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Speaker 1: But here's the thing. This show that they're all up

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Speaker 1: in arms about has actually been off the air for years.

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Speaker 1: It was canceled back in twenty twenty two, so it's

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Speaker 1: been off the.

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Speaker 2: Air for quite a while. A classic classic Netflix show.

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Speaker 2: You know, Yeah, how many show?

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Speaker 4: That's what?

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Speaker 2: There's so many shows? This is okay, I'll be real

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Speaker 2: with this story. Okay.

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Speaker 3: I saw on I Think Like Them posted an article

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Speaker 3: about it, and I just like saw it on my

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Speaker 3: Instagram feed and I was like, I had a second

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Speaker 3: because it just said a Netflix show that was canceled

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Speaker 3: in twenty twenty two, and I was like, this could

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Speaker 3: be so many shows. Like I was like, I was like,

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Speaker 3: I need to open the comments try and figure out

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Speaker 3: what it is. Sorry, bad journalist in me, I should

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Speaker 3: have I checked. I definitely clicked on the article and

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Speaker 3: read the actual article at to see and definitely didn't

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Speaker 3: just see this when I was doom scrolling on Instagram.

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Speaker 2: Whatever.

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Speaker 3: Uh, let's pretend that's what happened. But I was like,

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Speaker 3: I like a million shows went through my head where

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Speaker 3: I was like, I wonder if it's this or this.

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Speaker 3: My first thought was I was like, oh my god,

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Speaker 3: it's Sensate because I was the first show I could

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Speaker 3: think of that head of trans character that show was

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Speaker 3: canceled years ago. I don't even I never watched that show.

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Speaker 3: I just it was not for children. It definitely was

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Speaker 3: on a show for children either, But yeah, no, I

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Speaker 3: did think it was kind of funny that I was like.

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Speaker 2: My first thought was I was like, yeah, which canceled

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Speaker 2: Netflix show? There are a bazillion of.

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Speaker 1: Those, and I will say to me, that's a reason

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Speaker 1: a boycott Netflix.

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Speaker 2: I got.

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Speaker 1: I got hooked on this fantastic show on Netflix with

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Speaker 1: Jeff Goldbloom, Chaos. They canceled it in one season, and

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Speaker 1: so I was like, I was like very invested. I

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Speaker 1: was burning through the episodes. Then they announced it it's canceled,

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Speaker 1: and it's like, what's the wait, Well, why even finish?

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Speaker 1: I'm not even gonna get an ending?

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Speaker 2: Why even finish?

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Speaker 1: Now there's a legitimate reason to boycott Netflix, not this nonsense.

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Speaker 1: So you're here it now, Yes, you heard it.

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Speaker 4: Now.

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Speaker 2: That's how I thought about.

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Speaker 3: There was that lesbian vampire yeah show that they canceled,

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Speaker 3: Like I was like about to watch it. I just

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Speaker 3: finished coming out and then they canceled it and I

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Speaker 3: was like, well, now I don't really want.

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Speaker 2: To watch it. Yeah, uh, you're hearing it now.

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Speaker 3: We're calling for a boycott of Netflix until I bring

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Speaker 3: back all of the shows I've only had one.

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Speaker 2: Season, bring a stuff, Goldbloom, come on.

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Speaker 1: Genuinely, I this is such a tangent, but I get

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Speaker 1: so irritated because Netflix and then also just the streaming

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Speaker 1: lands gave us so different But they will cancel shows

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Speaker 1: so quickly, And think about it, how many shows do

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Speaker 1: we love that didn't really find their footing until season three,

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Speaker 1: season four?

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Speaker 2: Exactly, Seinfeld?

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Speaker 1: When it first came out, the first few seasons were men,

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Speaker 1: they were not well reviewed. What if somebody pulled the

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Speaker 1: plug then? Right, Sometimes shows need a little bit of

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Speaker 1: breathing room for folks to get to know them. And yeah,

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Speaker 1: stop canceling show so quickly, exactly now, one hundred percent.

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Speaker 1: I agree it's a conspiracy. What is going on?

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Speaker 3: They don't want us to have good TV anywere But

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Speaker 3: I agree. I think I got not to go on

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Speaker 3: too much of a tangent. But I'm like one of

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Speaker 3: my when I was in high school, my hair at shows,

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Speaker 3: parks and rec The first two seasons are terrible, like

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Speaker 3: famously right, but yeah, no, it is like streaming has

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Speaker 3: been bad for again, there's a bazillion amazing valid reasons

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Speaker 3: to boycott Netflix. I do find it kind of funny

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Speaker 3: that Netflix is one of these companies. Again, this kind

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Speaker 3: of is similar to the Idel story, Like I feel

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Speaker 3: like Elon Musk, proud loud transphobe calling for a boycott

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Speaker 3: of this platform that also has treated its trans creators

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Speaker 3: and employees terrorists. Like we did eight an episode on

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Speaker 3: this show, so I remember editing that was about how

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Speaker 3: they laid off all of these like queer employees that

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Speaker 3: they had. I don't know.

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Speaker 2: It is kind of like, hey, you can't win with

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Speaker 2: these people.

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Speaker 3: But also like on our sign, I'm kind of like

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Speaker 3: and and sorry now you want me to defend you.

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Speaker 2: No, I think you said it.

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Speaker 1: You can't win with these people. And the fact that

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Speaker 1: this show has been off the air for years.

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Speaker 2: What do you want?

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Speaker 1: It's not as if queer and trans and marginalized creators

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Speaker 1: are running Hollywood running studios like we're not.

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Speaker 2: I mean it from your List.

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Speaker 1: To God's Ears maybe, but it's just like what else

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Speaker 1: do you want? What else do you want? How how

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Speaker 1: would Netflix? They can't go back in time and recancele it.

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Speaker 1: It's just it's just grievance after a grievance after a grievance,

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Speaker 1: and I gotta say I really feel bad for Steel

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Speaker 1: because on Blue Sky, Steel was like, the show is

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Speaker 1: so Limbits of TikTok was like this show is being

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Speaker 1: promoted on Netflix to kids, and Steel was like, that's

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Speaker 1: not true. It's all lies and slander. Netflix is not

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Speaker 1: promoting the show at the moment. And then I also

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Speaker 1: feel very bad because they followed up with I will

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Speaker 1: just say today is much worse and I going to

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Speaker 1: basically be down low for the foreseeable future. My apologies,

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Speaker 1: and so again, this person did not do anything wrong,

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Speaker 1: just happened to I guess have the wrong opinion about

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Speaker 1: Charlie Kirk, and now they are able to slander work

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Speaker 1: that they did years ago on a partnership that they

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Speaker 1: had years ago with Netflix, And I guess I really

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Speaker 1: do think what they're advocating for it's not even really

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Speaker 1: about this show. It's about we demand the entire culture

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Speaker 1: be remade in the way that we want it to be.

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Speaker 1: We want the only movies that shows that people can

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Speaker 1: watch to be the ones that we like. We want

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Speaker 1: the final say, we want all the cultural power and capital.

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Speaker 2: That's really what this is about.

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Speaker 1: And the way they're trying to use Charlie Kirk's death

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Speaker 1: to remake culture in their idealized image is just really

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Speaker 1: sad and gross to me.

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Speaker 2: I mean, I think they tried it. They had a

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Speaker 2: very narrow window.

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Speaker 1: With the Jimmy Kimmel thing, and it seems to not

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Speaker 1: have taken. And I think now they're just like, Okay,

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Speaker 1: let's just throw a bunch of shit at the wall

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Speaker 1: and see what sticks.

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Speaker 3: Yeah. Yeah, it really is insane because yeah, exactly like

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Speaker 3: you said, it's like, hey, no, none of this has

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Speaker 3: to do with Charlie Kirk's death in the slightest, Like

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Speaker 3: maybe we should like just take a page from their

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Speaker 3: book at this point, if if you listener have a

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Speaker 3: show that got canceled that you're really sad about, I

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Speaker 3: think you should like tweet at Netflix and be like,

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Speaker 3: do you know that this was actually Charlie Kirk's favorite show.

438
00:22:27,040 --> 00:22:29,640
Speaker 3: We need to be honoring Charlie Kirk, to be honoring

439
00:22:29,800 --> 00:22:34,200
Speaker 3: his legacy Chaos back on their he was literally a father.

440
00:22:34,400 --> 00:22:38,840
Speaker 2: Get called call up Jeff Goldbloom. This is such a tangent.

441
00:22:39,160 --> 00:22:41,360
Speaker 2: I'm gonna I'm sorry everybody. I'm in a tangent mood.

442
00:22:41,400 --> 00:22:42,199
Speaker 2: Have had two drinks.

443
00:22:43,280 --> 00:22:47,119
Speaker 1: I rewatching the show Community and the characters, so it's

444
00:22:47,160 --> 00:22:49,160
Speaker 1: such a it's it's a very good rewatch.

445
00:22:49,400 --> 00:22:51,760
Speaker 2: Honestly, this is this is like I could go on

446
00:22:51,800 --> 00:22:52,160
Speaker 2: all day.

447
00:22:52,200 --> 00:22:56,120
Speaker 1: But something about the show it has such an optimistic

448
00:22:56,560 --> 00:22:59,280
Speaker 1: kind of like, even even though it's very meta and

449
00:22:59,320 --> 00:23:01,840
Speaker 1: it gets dark and all of that, but it ultimately

450
00:23:01,880 --> 00:23:04,040
Speaker 1: is grounded in a kind of optimism that just feels

451
00:23:04,119 --> 00:23:06,520
Speaker 1: very good to kind of remember and have nostalgia for.

452
00:23:06,880 --> 00:23:10,680
Speaker 1: But there's a scene where the characters Troy and Ahbed

453
00:23:10,800 --> 00:23:13,679
Speaker 1: revealed that if one of them ever dies by suicide,

454
00:23:13,720 --> 00:23:15,199
Speaker 1: they have a way to frame it to make it

455
00:23:15,200 --> 00:23:17,240
Speaker 1: seem like it was related to getting the show Firefly

456
00:23:17,400 --> 00:23:18,040
Speaker 1: back on the air.

457
00:23:18,880 --> 00:23:22,040
Speaker 3: Yes, I remember that, but I get also a huge

458
00:23:22,040 --> 00:23:24,440
Speaker 3: community found. I've watched it so good many times and

459
00:23:24,480 --> 00:23:26,439
Speaker 3: it is a great like feel good show to go

460
00:23:26,480 --> 00:23:26,720
Speaker 3: back to.

461
00:23:29,240 --> 00:23:33,399
Speaker 2: Yeah, yeah, I Troy and Ahbed they knew what was up.

462
00:23:33,760 --> 00:23:34,520
Speaker 2: They knew what was up.

463
00:23:34,920 --> 00:23:38,560
Speaker 3: We actually people don't know this, but Community was actually

464
00:23:38,680 --> 00:23:41,440
Speaker 3: Charlie Kirk's favorite show. And the fact that they still

465
00:23:41,440 --> 00:23:44,560
Speaker 3: haven't made the Community movie six travesty.

466
00:23:45,000 --> 00:23:47,280
Speaker 2: It's a travesty sixties of the movie.

467
00:23:47,600 --> 00:23:51,800
Speaker 1: Yeah, we should just start saying that Charlie Kirk really loved.

468
00:23:51,640 --> 00:23:54,520
Speaker 2: Things that we liked, and then he was a huge

469
00:23:54,560 --> 00:23:55,200
Speaker 2: Troy and abbed.

470
00:23:55,320 --> 00:23:59,199
Speaker 3: Yeah, I hope in the movie we find out that

471
00:23:59,240 --> 00:24:03,760
Speaker 3: they actually got married and we found his secret fan thick.

472
00:24:03,960 --> 00:24:07,399
Speaker 3: They still live with Annie. I'm now revealing how many

473
00:24:07,440 --> 00:24:11,960
Speaker 3: times I'm seeing this fucking show. But yeah, yeah, Bridget,

474
00:24:11,960 --> 00:24:14,640
Speaker 3: we'll do it. We'll do a community rewatch podcast. That'll

475
00:24:14,640 --> 00:24:16,359
Speaker 3: be our next next project.

476
00:24:17,040 --> 00:24:18,760
Speaker 2: I'm so ready, I'm so ready.

477
00:24:21,640 --> 00:24:34,680
Speaker 4: Let's take a quick break at our back.

478
00:24:38,560 --> 00:24:41,360
Speaker 2: Well, should we talk about Ted Cruz. Let's go, let's

479
00:24:41,359 --> 00:24:43,720
Speaker 2: talk about Cruise. We'll talk about Ted Cruise.

480
00:24:44,640 --> 00:24:49,280
Speaker 1: Okay, So, after the horrible assassination of the Minnesota lawmaker

481
00:24:49,400 --> 00:24:52,399
Speaker 1: Melissa Hortman, her husband Mark, and even her dog, we

482
00:24:52,480 --> 00:24:55,080
Speaker 1: talked about how the attacker was able to get her

483
00:24:55,080 --> 00:24:58,200
Speaker 1: home address and the home addresses of other Democratic lawmakers

484
00:24:58,200 --> 00:25:02,439
Speaker 1: that he targeted through data brokers. So data brokers, it

485
00:25:02,520 --> 00:25:04,560
Speaker 1: is an issue that I've talked about on this show.

486
00:25:05,480 --> 00:25:09,400
Speaker 1: Data brokers endanger everybody, but especially anybody who is from

487
00:25:09,400 --> 00:25:12,400
Speaker 1: a marginalized background. If you're a woman, if you're a transperson,

488
00:25:12,440 --> 00:25:14,200
Speaker 1: if you're a queer person who's in the public eye,

489
00:25:14,240 --> 00:25:17,280
Speaker 1: or running for public office or holding elected office, you

490
00:25:17,680 --> 00:25:20,200
Speaker 1: are going to be more likely to be disproportionately targeted

491
00:25:20,560 --> 00:25:23,360
Speaker 1: by the fact that all of our personal information, including

492
00:25:23,359 --> 00:25:26,960
Speaker 1: our addresses, are just available to the highest bidder online.

493
00:25:27,440 --> 00:25:31,040
Speaker 1: So after that horrible attack, MSNBC published the items that

494
00:25:31,080 --> 00:25:33,800
Speaker 1: the attacker had on him during the murders, and it

495
00:25:33,880 --> 00:25:36,919
Speaker 1: included photos of a notepad they found in his car

496
00:25:37,160 --> 00:25:39,960
Speaker 1: that had a long list of people's search sites where

497
00:25:40,320 --> 00:25:43,840
Speaker 1: anybody can basically find the home addresses of anybody in

498
00:25:43,880 --> 00:25:46,560
Speaker 1: the United States. He had notebooks in his car that

499
00:25:46,640 --> 00:25:51,840
Speaker 1: included Hortman's name and address. So these data broker sites

500
00:25:51,840 --> 00:25:56,200
Speaker 1: and people search sites, they are such a just a

501
00:25:56,240 --> 00:25:59,840
Speaker 1: plague on our society. Anybody can buy the personal inefrom

502
00:25:59,840 --> 00:26:02,560
Speaker 1: a of anybody, and if you've ever paid a parking ticket,

503
00:26:02,720 --> 00:26:06,280
Speaker 1: or voted, or gotten the utilities turned on in your home,

504
00:26:06,520 --> 00:26:10,040
Speaker 1: your information is likely for sale, and your local and

505
00:26:10,080 --> 00:26:13,639
Speaker 1: state government might even be the entities putting that information

506
00:26:13,840 --> 00:26:17,879
Speaker 1: up for sale. Federal lawmakers like Senator Ted Cruz do

507
00:26:18,200 --> 00:26:21,920
Speaker 1: have enhanced protections, but because Melissa Hortman was a state lawmaker,

508
00:26:22,080 --> 00:26:24,800
Speaker 1: she was just as exposed as you or me. Those

509
00:26:24,840 --> 00:26:27,840
Speaker 1: of us who are not federal lawmakers, really have no

510
00:26:28,200 --> 00:26:32,040
Speaker 1: meaningful data protection or privacy legislation in this country to

511
00:26:32,119 --> 00:26:35,679
Speaker 1: protect US. Senator Ron Wyden was trying to change that.

512
00:26:36,240 --> 00:26:38,119
Speaker 1: Tech Crunch reports that he asked to send it for

513
00:26:38,240 --> 00:26:42,560
Speaker 1: unanimous consent from Senators to pass his legislation, the Protecting

514
00:26:42,600 --> 00:26:46,000
Speaker 1: Americans from Doxing and Political Violence Act. So, this bill,

515
00:26:46,160 --> 00:26:49,679
Speaker 1: if passed, would have taken bipartisan past provisions designed to

516
00:26:49,680 --> 00:26:53,320
Speaker 1: protect government officials and lawmakers and their families from having

517
00:26:53,359 --> 00:26:56,280
Speaker 1: their personal information sold or traded by data brokers, and

518
00:26:56,359 --> 00:26:59,800
Speaker 1: extended those protections to all of us, to every American

519
00:27:00,080 --> 00:27:03,959
Speaker 1: and living person in the United States. Widen said members

520
00:27:03,960 --> 00:27:07,840
Speaker 1: of Congress should not receive special treatment. Our constituents deserve

521
00:27:07,960 --> 00:27:12,359
Speaker 1: protection from violence, stalking, and other criminal threats. Protecting everyone

522
00:27:12,800 --> 00:27:15,639
Speaker 1: is the most effective way to protect US military and

523
00:27:15,640 --> 00:27:18,360
Speaker 1: intelligence personnel, including undercover.

524
00:27:18,000 --> 00:27:22,080
Speaker 2: Officers, he said. So, I've been saying the same thing

525
00:27:22,320 --> 00:27:25,880
Speaker 2: on this show for years. We need meaningful data privacy

526
00:27:25,880 --> 00:27:29,399
Speaker 2: protections for everyone, full stop and of sentence. But do

527
00:27:29,440 --> 00:27:31,480
Speaker 2: you know who doesn't feel that way?

528
00:27:31,520 --> 00:27:34,200
Speaker 1: You know who doesn't feel that every American deserves data

529
00:27:34,200 --> 00:27:35,160
Speaker 1: privacy protections.

530
00:27:35,600 --> 00:27:38,760
Speaker 2: I've got a guess. I've got a guess it's Senator

531
00:27:38,760 --> 00:27:40,440
Speaker 2: Ted cruz aw Man.

532
00:27:41,119 --> 00:27:45,720
Speaker 3: I love that specifically the quote was protection from violence, stalking,

533
00:27:45,760 --> 00:27:48,560
Speaker 3: and other criminal threats, because it's so funny to picture Ted.

534
00:27:49,160 --> 00:27:51,240
Speaker 2: I mean, he probably would hear that and just be like,

535
00:27:51,640 --> 00:27:52,480
Speaker 2: wellly don't.

536
00:27:52,920 --> 00:27:56,200
Speaker 1: Yeah, yeah, I deserve that, but not that you all

537
00:27:56,240 --> 00:27:57,120
Speaker 1: won't deserve that.

538
00:27:57,280 --> 00:28:00,760
Speaker 3: Oh, you deserve the right to enact myviolence. Yes, you

539
00:28:00,840 --> 00:28:03,720
Speaker 3: do deserve that. Yes, No, no, not protection. I don't know,

540
00:28:03,800 --> 00:28:04,480
Speaker 3: not about that.

541
00:28:04,480 --> 00:28:04,959
Speaker 2: That's too far.

542
00:28:05,119 --> 00:28:07,920
Speaker 1: That's essentially what he is saying. Like, that's hardly even

543
00:28:07,960 --> 00:28:11,240
Speaker 1: an exaggeration. Because Ted Creuves decided that even though he

544
00:28:11,320 --> 00:28:14,280
Speaker 1: gets this enhanced protection, the rest of us we don't

545
00:28:14,280 --> 00:28:16,919
Speaker 1: deserve it at all, and he blocked an effort to

546
00:28:17,000 --> 00:28:20,879
Speaker 1: pass legislation that would have extended these data privacy protections

547
00:28:21,080 --> 00:28:23,720
Speaker 1: that federal lawmakers like him enjoy to.

548
00:28:24,000 --> 00:28:27,240
Speaker 2: All of us. His reasoning behind this is truly wild

549
00:28:27,240 --> 00:28:28,399
Speaker 2: to me, And it's wild to the point.

550
00:28:28,280 --> 00:28:30,560
Speaker 1: Where I'm like, well, what's really going on, because what

551
00:28:30,600 --> 00:28:33,480
Speaker 1: you're saying doesn't even make sense. So the reason that

552
00:28:33,600 --> 00:28:36,040
Speaker 1: he cited for why he doesn't think the rest of

553
00:28:36,119 --> 00:28:38,680
Speaker 1: us deserve the same protections that him and his family

554
00:28:38,720 --> 00:28:42,400
Speaker 1: get is because if all of our data wasn't just

555
00:28:42,560 --> 00:28:47,600
Speaker 1: up for grabs, it might potentially interfere with law enforcement

556
00:28:47,760 --> 00:28:51,000
Speaker 1: in some way. Question Mark, I don't know so completely

557
00:28:51,080 --> 00:28:53,840
Speaker 1: living up to his reputation as like a lonely pariah

558
00:28:53,880 --> 00:28:57,959
Speaker 1: who everyone hates. Cruz was the sole objecting senator to

559
00:28:58,080 --> 00:29:02,240
Speaker 1: this bill, claiming without evadence, the bill could disrupt law enforcement.

560
00:29:02,480 --> 00:29:06,520
Speaker 1: Quote such as knowing where sexual predators are living. But

561
00:29:07,040 --> 00:29:10,160
Speaker 1: think about that for a second, because we already have

562
00:29:10,640 --> 00:29:14,600
Speaker 1: a sex offender registry list that gives the addresses of

563
00:29:14,920 --> 00:29:19,160
Speaker 1: where convicted sex offenders live, and TechCrunch spoke to Daniel Schuman,

564
00:29:19,360 --> 00:29:22,400
Speaker 1: the executive director at the nonprofit the American Governance Institute,

565
00:29:22,440 --> 00:29:26,120
Speaker 1: who pointed that out, saying that that was completely.

566
00:29:25,600 --> 00:29:28,400
Speaker 2: Wrong and that yeah, federal law already.

567
00:29:28,080 --> 00:29:32,000
Speaker 1: Requires a publicly available registry of sex offenders. He said

568
00:29:32,480 --> 00:29:35,720
Speaker 1: that registry lists offenders names and addresses online so parents

569
00:29:35,760 --> 00:29:38,840
Speaker 1: and communities know where they live, adding that Widen's bill

570
00:29:39,160 --> 00:29:42,840
Speaker 1: leaves that system fully intact, explicitly permits law enforcement to

571
00:29:42,880 --> 00:29:46,080
Speaker 1: share information with at risk individuals and exempts the press

572
00:29:46,080 --> 00:29:49,960
Speaker 1: so news outlets can continue reporting freely on offenders nothing

573
00:29:50,000 --> 00:29:52,880
Speaker 1: in the bill would prevent parents from being notified or

574
00:29:52,920 --> 00:29:58,640
Speaker 1: limit public access to this critical information. Schuman said, So, yeah, Ted,

575
00:29:58,720 --> 00:30:03,080
Speaker 1: Cruse's explanation for why all of us don't deserve the

576
00:30:03,080 --> 00:30:05,800
Speaker 1: same protections that he and his family get doesn't really

577
00:30:05,840 --> 00:30:07,200
Speaker 1: make sense or hold water.

578
00:30:07,560 --> 00:30:09,440
Speaker 2: And I think it's really just a money thing.

579
00:30:09,520 --> 00:30:11,680
Speaker 1: You know, this is just my opinion, But y'all might

580
00:30:11,720 --> 00:30:14,440
Speaker 1: remember that Cruz also introduced legislation that would have allowed

581
00:30:14,440 --> 00:30:18,240
Speaker 1: the White House to unilaterally exempt AI companies from nearly

582
00:30:18,320 --> 00:30:22,040
Speaker 1: all federal regulation. And he was also behind that ten

583
00:30:22,160 --> 00:30:26,040
Speaker 1: year moratorium on any state level AI legislation. So I

584
00:30:26,040 --> 00:30:28,880
Speaker 1: think he's just in the pocket of big tech. And

585
00:30:28,920 --> 00:30:32,800
Speaker 1: I think for all of his posturing about protecting freedom,

586
00:30:33,160 --> 00:30:37,240
Speaker 1: he consistently demonstrates just a clear and flagrant lack of

587
00:30:37,280 --> 00:30:39,240
Speaker 1: regard for our citizens of privacy.

588
00:30:39,560 --> 00:30:41,760
Speaker 2: And I genuinely this is a genuine question.

589
00:30:42,120 --> 00:30:45,480
Speaker 1: I wonder if he thinks that this level of privacy

590
00:30:45,720 --> 00:30:49,360
Speaker 1: protections that he enjoys if not good in some way,

591
00:30:49,440 --> 00:30:52,120
Speaker 1: or that we all shouldn't have it, would he give

592
00:30:52,280 --> 00:30:55,240
Speaker 1: up those protections for himself and his family if he

593
00:30:55,280 --> 00:30:57,840
Speaker 1: thinks that apparently nobody should have these Like is he

594
00:30:57,920 --> 00:31:01,080
Speaker 1: special in some way, I genuinely do understand what he's

595
00:31:01,120 --> 00:31:04,680
Speaker 1: doing here other than just being completely in the pocket

596
00:31:04,680 --> 00:31:05,200
Speaker 1: of big tech.

597
00:31:05,920 --> 00:31:07,640
Speaker 2: Yes, he is special. He's Ted Cruz.

598
00:31:08,200 --> 00:31:11,280
Speaker 3: Of course you shouldn't give up those rights that only

599
00:31:11,320 --> 00:31:13,840
Speaker 3: exist for him and his besties.

600
00:31:13,880 --> 00:31:15,840
Speaker 2: Yeah, he's Ted Cruz. That's different.

601
00:31:18,080 --> 00:31:20,920
Speaker 3: Yeah No, but like I think you're totally right. Like

602
00:31:20,960 --> 00:31:25,360
Speaker 3: it's at this point it's like they're not even like

603
00:31:25,680 --> 00:31:30,040
Speaker 3: pretending like this isn't the case. It's like you're just you're, yeah,

604
00:31:30,080 --> 00:31:35,800
Speaker 3: you're supporting nonsense ideas. You're you're shutting down these things

605
00:31:35,800 --> 00:31:40,920
Speaker 3: that are pretty universally like supported, because you're like, but

606
00:31:40,920 --> 00:31:41,640
Speaker 3: but the.

607
00:31:41,640 --> 00:31:44,720
Speaker 2: People that pay me don't want that, so I'm gonna

608
00:31:44,720 --> 00:31:44,920
Speaker 2: make it.

609
00:31:45,080 --> 00:31:47,440
Speaker 3: And it is the thing where it's like yeah, no, obviously,

610
00:31:47,640 --> 00:31:50,920
Speaker 3: like yeah, like there is a like registry of like

611
00:31:51,000 --> 00:31:52,840
Speaker 3: sex founders. It goes like there's all these things that

612
00:31:52,880 --> 00:31:57,400
Speaker 3: exist through the police already through the government, but that

613
00:31:57,440 --> 00:32:00,320
Speaker 3: doesn't matter because you can just throw out you could

614
00:32:00,360 --> 00:32:02,920
Speaker 3: just say like, oh, but I'm worried about sex venders,

615
00:32:03,640 --> 00:32:07,480
Speaker 3: as they've been doing for every issue lately, that means

616
00:32:07,480 --> 00:32:10,360
Speaker 3: nothing anymore because they say that again, this is like

617
00:32:10,880 --> 00:32:14,000
Speaker 3: this is the same argument they use for why trans

618
00:32:14,040 --> 00:32:18,600
Speaker 3: people shouldn't be allowed to do literally anything, is they're like, ah,

619
00:32:18,600 --> 00:32:23,960
Speaker 3: but what about sex offenders? Like at this point, it's like,

620
00:32:24,000 --> 00:32:28,400
Speaker 3: I feel like we could have legislation on like if

621
00:32:28,440 --> 00:32:30,800
Speaker 3: we went back in time and we were just now

622
00:32:30,840 --> 00:32:34,760
Speaker 3: in twenty twenty five introducing legislation about seat belts, Like

623
00:32:34,840 --> 00:32:37,040
Speaker 3: there would be some way that the Republicans would be like,

624
00:32:37,280 --> 00:32:39,000
Speaker 3: but what about the sex offenders?

625
00:32:39,520 --> 00:32:41,520
Speaker 1: Yeah, it would be like, but what if there was

626
00:32:41,560 --> 00:32:44,280
Speaker 1: a bad guy who used a seat belt and the

627
00:32:44,920 --> 00:32:47,240
Speaker 1: crash and he was protected, But what.

628
00:32:47,160 --> 00:32:55,000
Speaker 3: If a transgender Antifa tried seat belt? And I don't

629
00:32:55,720 --> 00:32:57,800
Speaker 3: like it's it's just nonsense anymore. They just throw out

630
00:32:57,840 --> 00:33:01,200
Speaker 3: worries and people eat it up, or they just know

631
00:33:01,240 --> 00:33:02,680
Speaker 3: that they're not going to face consequences.

632
00:33:02,760 --> 00:33:04,200
Speaker 2: So it's so true.

633
00:33:04,360 --> 00:33:07,160
Speaker 1: Like I I guess I'm just in a silly goofy

634
00:33:07,160 --> 00:33:08,160
Speaker 1: mood because it's been a week.

635
00:33:08,480 --> 00:33:11,280
Speaker 2: I'm just going all over the place, y'all stay with me.

636
00:33:11,600 --> 00:33:15,640
Speaker 1: I mean, I saw I saw the interview that the

637
00:33:15,760 --> 00:33:18,720
Speaker 1: like Donald Trump getting on a plane and I forget

638
00:33:18,720 --> 00:33:20,800
Speaker 1: what he's asked about something and he just says, well, well,

639
00:33:20,840 --> 00:33:25,000
Speaker 1: you know, the Democrats just they just want transgender for everybody, And.

640
00:33:25,280 --> 00:33:27,400
Speaker 2: I just wish somebody would ask a follow up, like

641
00:33:27,440 --> 00:33:29,880
Speaker 2: what is what does that mean? What do you? What

642
00:33:29,920 --> 00:33:31,160
Speaker 2: do you? What does that mean?

643
00:33:31,360 --> 00:33:33,280
Speaker 3: I wish Okay, that makes so much sense because I

644
00:33:33,480 --> 00:33:36,080
Speaker 3: feel like I keep seeing like tweets and like means

645
00:33:36,080 --> 00:33:38,760
Speaker 3: and stuff that are using the like everything is computer

646
00:33:38,920 --> 00:33:41,440
Speaker 3: transgender for everybody, And I'm like, I thought the transgender

647
00:33:41,440 --> 00:33:43,840
Speaker 3: and I will say everything is computer.

648
00:33:44,080 --> 00:33:46,680
Speaker 2: That is a banger. That's a banger. I do say

649
00:33:46,720 --> 00:33:47,400
Speaker 2: that a lot.

650
00:33:47,400 --> 00:33:51,400
Speaker 3: Everything you know what transgender for everybody?

651
00:33:51,440 --> 00:33:53,120
Speaker 2: That is the platform that I'm running on.

652
00:33:54,520 --> 00:33:56,640
Speaker 1: I would put that on our shirt. I also say

653
00:33:56,640 --> 00:33:57,640
Speaker 1: everything is computer.

654
00:33:57,880 --> 00:34:00,600
Speaker 2: You ever listened to a Sophie song? You ever listen

655
00:34:00,680 --> 00:34:01,640
Speaker 2: to a Sophie song?

656
00:34:02,280 --> 00:34:05,320
Speaker 3: Everything is computer and transgender for everybody.

657
00:34:05,560 --> 00:34:08,840
Speaker 2: Let's go Brad Summer.

658
00:34:10,000 --> 00:34:13,799
Speaker 5: Part three, because truly it's so funny, Because truly he'll

659
00:34:13,840 --> 00:34:16,200
Speaker 5: say things where you g it's so wrong, it kind

660
00:34:16,200 --> 00:34:19,920
Speaker 5: of loops around to being right, you know, you like

661
00:34:20,120 --> 00:34:21,360
Speaker 5: really funny.

662
00:34:21,040 --> 00:34:23,839
Speaker 1: Line, Oh my god, do you know the guy who

663
00:34:23,880 --> 00:34:26,319
Speaker 1: does like Trump as a gay man?

664
00:34:26,800 --> 00:34:28,640
Speaker 3: But Arnold Palmer was all man.

665
00:34:28,920 --> 00:34:31,400
Speaker 2: And I say that in all due respect to women.

666
00:34:31,440 --> 00:34:32,440
Speaker 6: And I love women.

667
00:34:33,160 --> 00:34:39,200
Speaker 2: But this guy, this guy, this is a guy that

668
00:34:39,400 --> 00:34:40,400
Speaker 2: was all man.

669
00:34:41,000 --> 00:34:42,800
Speaker 1: It starts as a joke, but it's like Trump really

670
00:34:42,880 --> 00:34:45,160
Speaker 1: was born to be a gay man, Like she would

671
00:34:45,239 --> 00:34:47,360
Speaker 1: have been so good on drag Race.

672
00:34:47,760 --> 00:34:50,920
Speaker 3: And that is the biggest tragedy of this whole situation.

673
00:34:51,440 --> 00:34:54,600
Speaker 3: Is like, this is why I'm like kind of like

674
00:34:54,719 --> 00:34:57,759
Speaker 3: in my heart, there is some like I do, like

675
00:34:57,880 --> 00:35:00,200
Speaker 3: George Santos, like I do sort of, I'm like, you

676
00:35:00,239 --> 00:35:03,120
Speaker 3: know what, like you're all right, Like I don't know,

677
00:35:03,239 --> 00:35:05,760
Speaker 3: I like this is probably the best case scenario.

678
00:35:06,320 --> 00:35:10,640
Speaker 1: Oh my gosh, wait where he's behind bars, no living,

679
00:35:10,680 --> 00:35:11,960
Speaker 1: his entire living is truth.

680
00:35:12,040 --> 00:35:15,200
Speaker 3: Like I was like, I gotta, uh, have you ever

681
00:35:15,200 --> 00:35:16,600
Speaker 3: seen the video where.

682
00:35:16,600 --> 00:35:19,080
Speaker 1: A reporter is like, sir, sir, what do you think

683
00:35:19,080 --> 00:35:22,600
Speaker 1: about drag Rice this season? And he stops in his tracks.

684
00:35:22,680 --> 00:35:24,880
Speaker 2: That is the happiest I've ever seen that man. But

685
00:35:25,000 --> 00:35:26,520
Speaker 2: it is the happiest I've ever seen that man.

686
00:35:28,400 --> 00:35:31,400
Speaker 3: That I again another like I look at George Santos,

687
00:35:31,440 --> 00:35:33,120
Speaker 3: I'm like, this is what Trump was supposed to be,

688
00:35:33,239 --> 00:35:36,160
Speaker 3: like if you had kept in where like I was

689
00:35:36,200 --> 00:35:38,600
Speaker 3: like the clip of him on ze Way, like he's

690
00:35:38,680 --> 00:35:43,759
Speaker 3: so like busy Way interviews all the canos. I like,

691
00:35:43,840 --> 00:35:48,000
Speaker 3: this should have been what Trump was, and it should

692
00:35:48,000 --> 00:35:49,640
Speaker 3: have stopped there. This should have been what trump. Ted

693
00:35:49,680 --> 00:35:52,480
Speaker 3: Cruz what Ted Cruise doesn't have the charisma? Actually, I

694
00:35:52,520 --> 00:35:55,600
Speaker 3: take that back. I take that back, Ted Cruz, there

695
00:35:55,640 --> 00:35:56,640
Speaker 3: was no hope but Trump.

696
00:35:56,680 --> 00:35:57,000
Speaker 2: This is what.

697
00:35:57,920 --> 00:36:00,360
Speaker 1: There's an image of Santos when he was being I

698
00:36:00,400 --> 00:36:03,800
Speaker 1: think a rain or sentence where it's just a black

699
00:36:03,800 --> 00:36:06,359
Speaker 1: and white image of him wearing sunglasses and it's just

700
00:36:06,480 --> 00:36:09,279
Speaker 1: cameras all around him, and I'm like, girl, listen to

701
00:36:09,280 --> 00:36:12,319
Speaker 1: album cover that was like I think that cover.

702
00:36:12,560 --> 00:36:15,480
Speaker 3: I think like that is like the most like group

703
00:36:15,600 --> 00:36:18,200
Speaker 3: chat used image that I've had, like on like like

704
00:36:18,280 --> 00:36:23,160
Speaker 3: whenever somebody's like got the haircut, like uh, the image

705
00:36:23,200 --> 00:36:24,799
Speaker 3: like I don't know it is that is like how

706
00:36:24,880 --> 00:36:26,800
Speaker 3: I feel, but I leave the house.

707
00:36:27,040 --> 00:36:29,359
Speaker 2: I'm like, that's I don't know that.

708
00:36:29,480 --> 00:36:34,160
Speaker 1: Yeah, if these people weren't spreading so much misery and

709
00:36:34,239 --> 00:36:37,480
Speaker 1: fascism and torment, they would be in and up. Yeah

710
00:36:37,520 --> 00:36:40,799
Speaker 1: in another universe we're watching them all scheme on housewives

711
00:36:40,880 --> 00:36:43,520
Speaker 1: or drag race or something. If they weren't responsible for

712
00:36:43,600 --> 00:36:46,360
Speaker 1: so much pain and misery, we could sort of be

713
00:36:46,440 --> 00:36:48,480
Speaker 1: like low key rooting for them in another in another

714
00:36:48,560 --> 00:36:49,640
Speaker 1: capacity or arena.

715
00:36:49,719 --> 00:36:55,279
Speaker 3: You know, Trump would have killed it on Housewives, Like yeah, yeah,

716
00:36:55,360 --> 00:36:56,080
Speaker 3: we did.

717
00:36:55,880 --> 00:36:59,880
Speaker 1: An episode with Ashley Ray of the podcast TV I

718
00:37:00,040 --> 00:37:03,800
Speaker 1: say all about how Trump. If you are a scholar

719
00:37:03,840 --> 00:37:06,279
Speaker 1: of reality TV, you sort of get Trump because he

720
00:37:06,320 --> 00:37:09,000
Speaker 1: definitely came from the reality TV world and he knows

721
00:37:09,000 --> 00:37:11,440
Speaker 1: how to be a reality TV show villain. And watching

722
00:37:11,480 --> 00:37:14,440
Speaker 1: a lot of reality TV helps us understand how he

723
00:37:14,520 --> 00:37:15,160
Speaker 1: moves right.

724
00:37:15,080 --> 00:37:19,279
Speaker 3: Now, exactly exactly. And I know this is something we

725
00:37:19,320 --> 00:37:22,920
Speaker 3: disagree on. I'm a reality TV hater, but I'm sorry.

726
00:37:23,120 --> 00:37:27,359
Speaker 3: I'm sorry, but well, I so like you.

727
00:37:27,480 --> 00:37:29,920
Speaker 2: No, no, no, no, no, I know, I I listen.

728
00:37:30,160 --> 00:37:34,239
Speaker 3: I have many friends that are very under reality TV.

729
00:37:34,280 --> 00:37:36,239
Speaker 3: It's just nothing. I don't I don't get it. I

730
00:37:36,360 --> 00:37:40,240
Speaker 3: like drag Race, I watch I did watch The Secret Wives,

731
00:37:40,360 --> 00:37:43,680
Speaker 3: The Secret Lives of Morb Lives. That was fun, but like,

732
00:37:43,880 --> 00:37:45,680
Speaker 3: I feel like, I like why I watched the first

733
00:37:45,680 --> 00:37:47,319
Speaker 3: season and I ask a bit, I don't know. It's

734
00:37:47,320 --> 00:37:48,960
Speaker 3: not for me, and to me, I'm like, and that

735
00:37:48,960 --> 00:37:51,359
Speaker 3: demonstrates everything that's wrong with American culture and how.

736
00:37:51,280 --> 00:37:53,839
Speaker 2: We count wearc to they oh what absolutely does.

737
00:37:54,320 --> 00:37:56,840
Speaker 3: But also it is like, how you understand what the

738
00:37:56,880 --> 00:37:58,000
Speaker 3: fuck is happening today?

739
00:37:58,040 --> 00:38:00,719
Speaker 2: Because this is, unfortunately the reality we are in. So

740
00:38:01,120 --> 00:38:03,359
Speaker 2: it is the reality we are living in.

741
00:38:04,239 --> 00:38:09,840
Speaker 1: Well, speaking of occupying different realities, I found this fascinating

742
00:38:09,880 --> 00:38:13,279
Speaker 1: study from Emily Van Dunn, a professor of communications at

743
00:38:13,280 --> 00:38:17,080
Speaker 1: the University of Illinois or Bana Champaigne, who did this.

744
00:38:17,719 --> 00:38:19,759
Speaker 2: Oh you're from out there, right I am. I did

745
00:38:19,800 --> 00:38:23,040
Speaker 2: not go to UI but I am from Illinois. My

746
00:38:23,840 --> 00:38:27,000
Speaker 2: dad's a u of IM half of my high school.

747
00:38:27,000 --> 00:38:30,840
Speaker 2: IT'SO U u C. So shout out, shout out, shout

748
00:38:30,840 --> 00:38:33,359
Speaker 2: out to uyu C. My dad loves to bring up

749
00:38:33,400 --> 00:38:34,880
Speaker 2: that they invented the Internet.

750
00:38:35,000 --> 00:38:37,239
Speaker 3: I don't know how accurate that is, but he loves

751
00:38:37,280 --> 00:38:39,880
Speaker 3: to say that UI u C invented the Internet.

752
00:38:40,480 --> 00:38:43,080
Speaker 1: H yes, well, thank you U I U C. I

753
00:38:43,120 --> 00:38:45,160
Speaker 1: probably wouldn't have this podcast if not if.

754
00:38:45,040 --> 00:38:49,439
Speaker 2: Not for their invention. Actually, sorry, my bad.

755
00:38:49,640 --> 00:38:53,399
Speaker 3: It was the first Internet browser that was created at

756
00:38:53,920 --> 00:38:54,399
Speaker 3: ui UC.

757
00:38:54,719 --> 00:38:58,000
Speaker 2: But it's I guess the Internet as a whole.

758
00:38:58,000 --> 00:39:01,680
Speaker 3: It was a bit more complicated, but but yeah, I

759
00:39:01,880 --> 00:39:04,800
Speaker 3: still still same applies.

760
00:39:04,840 --> 00:39:08,799
Speaker 2: We would not have this show without UIUC. So thank you.

761
00:39:09,280 --> 00:39:14,279
Speaker 1: Emily Van Dunn from Uyuc did this fascinating research that

762
00:39:14,360 --> 00:39:18,120
Speaker 1: says that misin information is not just ruining our democracy,

763
00:39:18,200 --> 00:39:22,040
Speaker 1: ruining our information ecosystem, it's also ending marriages. So she

764
00:39:22,120 --> 00:39:25,000
Speaker 1: did these in depth interviews with twenty eight people who

765
00:39:25,000 --> 00:39:28,200
Speaker 1: had recently ended a relationship with a partner whose political

766
00:39:28,239 --> 00:39:29,160
Speaker 1: ideology did.

767
00:39:29,000 --> 00:39:29,640
Speaker 2: Not match their own.

768
00:39:29,680 --> 00:39:32,000
Speaker 1: So there are people who when they got into relationships,

769
00:39:32,000 --> 00:39:35,279
Speaker 1: it's like, oh, well, I'm a Democrat, my partner is

770
00:39:35,360 --> 00:39:38,120
Speaker 1: much more left leaning. Or I'm a moderate Republican, my

771
00:39:38,200 --> 00:39:41,400
Speaker 1: partner is much more conservative. So like people who already

772
00:39:41,400 --> 00:39:44,440
Speaker 1: from the beginning did not share the same political ideology.

773
00:39:44,880 --> 00:39:47,399
Speaker 1: A lot of the couples involved in these interviews said

774
00:39:47,440 --> 00:39:50,720
Speaker 1: that their media choices were directly responsible for the political

775
00:39:50,719 --> 00:39:55,440
Speaker 1: differences that ultimately caused the relationships to end. Their stories

776
00:39:55,480 --> 00:39:59,360
Speaker 1: offer fresh insight that the corrosive effects of the tendonaciousness

777
00:39:59,400 --> 00:40:03,360
Speaker 1: being fuel by disinformation, misinformation, and partisan online communities in

778
00:40:03,400 --> 00:40:06,480
Speaker 1: the public sphere can be just as divisive in private.

779
00:40:07,320 --> 00:40:09,840
Speaker 1: Van Dunn said, quote, it is important to note that

780
00:40:09,840 --> 00:40:12,760
Speaker 1: these relationships were not dreamed for failure because the differing

781
00:40:12,760 --> 00:40:16,120
Speaker 1: political beliefs. They failed, at least in part because those

782
00:40:16,160 --> 00:40:19,880
Speaker 1: differing beliefs were associated with different realities that disrupted a

783
00:40:19,960 --> 00:40:23,640
Speaker 1: shared identity and shared reality with their partner, which I

784
00:40:23,680 --> 00:40:28,200
Speaker 1: find so fascinating and so something I have definitely felt

785
00:40:28,239 --> 00:40:31,800
Speaker 1: when dealing with people who have been deeply, deeply taken

786
00:40:31,840 --> 00:40:34,719
Speaker 1: in by just incorrect information and that there's nothing you

787
00:40:34,760 --> 00:40:38,000
Speaker 1: can do to convince them otherwise they create their own

788
00:40:38,160 --> 00:40:41,640
Speaker 1: little world around them that it's just very difficult to penetrate.

789
00:40:42,320 --> 00:40:45,600
Speaker 1: And so, how could you then share a world with

790
00:40:45,680 --> 00:40:48,560
Speaker 1: somebody that you're intending to be a romantic relationship with

791
00:40:48,640 --> 00:40:51,480
Speaker 1: as a romantic partner if they are already in their

792
00:40:51,520 --> 00:40:55,160
Speaker 1: own little, isolated world that you cannot penetrate. So what

793
00:40:55,239 --> 00:40:58,640
Speaker 1: completely kind of makes sense to me? This really bore

794
00:40:58,680 --> 00:41:01,120
Speaker 1: out in a lot of the conversation. Van Dunn said

795
00:41:01,160 --> 00:41:05,799
Speaker 1: that the study participants experiences went beyond differing interpretations of

796
00:41:05,840 --> 00:41:10,680
Speaker 1: political facts because false information created an alternative fictional reality

797
00:41:10,719 --> 00:41:14,920
Speaker 1: that isolated their partners from each other ideologically and relationally,

798
00:41:15,239 --> 00:41:18,719
Speaker 1: straining their bonds until the relationships failed. She said that

799
00:41:18,760 --> 00:41:21,600
Speaker 1: her findings, published in the Journal of New Media and Society,

800
00:41:21,680 --> 00:41:24,480
Speaker 1: draw on the theory of shared reality, shedding light on

801
00:41:24,520 --> 00:41:27,680
Speaker 1: the potential implications for intimate relationships when online miss and

802
00:41:27,719 --> 00:41:32,879
Speaker 1: disinformation and radicalization disrupt individuals expectations that their partners will

803
00:41:32,920 --> 00:41:36,760
Speaker 1: recognize and validate their respective understandings of the world.

804
00:41:37,120 --> 00:41:38,160
Speaker 2: So that really, I.

805
00:41:38,080 --> 00:41:41,399
Speaker 1: Think is the key that we kind of expect our

806
00:41:41,480 --> 00:41:45,239
Speaker 1: romantic partners to live in the shared reality with us.

807
00:41:45,280 --> 00:41:47,440
Speaker 1: And it seems to become an issue from her research

808
00:41:47,680 --> 00:41:50,200
Speaker 1: when a partner is confronted with whether or not they

809
00:41:50,200 --> 00:41:53,880
Speaker 1: want to validate what they understand to be truth and

810
00:41:53,960 --> 00:41:56,920
Speaker 1: reality versus validating with their partner.

811
00:41:57,040 --> 00:42:00,960
Speaker 2: And yeah, it just is really interesting to think that people's.

812
00:42:00,600 --> 00:42:05,920
Speaker 1: Online rabbit holes can can and have torn relationships apart.

813
00:42:06,560 --> 00:42:11,240
Speaker 3: Yeah, I really do not find that surprising. I've dated

814
00:42:11,239 --> 00:42:14,200
Speaker 3: people before with different political beliefs than me. I think

815
00:42:14,520 --> 00:42:19,280
Speaker 3: most people have. But even in that, there's like maybe

816
00:42:19,320 --> 00:42:22,200
Speaker 3: this isn't the best term to use, but there's.

817
00:42:22,000 --> 00:42:25,000
Speaker 7: Like a margin of error almost of like what you're

818
00:42:25,040 --> 00:42:29,200
Speaker 7: willing to like tolerate that like somebody, yeah you don't

819
00:42:29,200 --> 00:42:31,000
Speaker 7: agree on you know, like it could be like, okay,

820
00:42:31,040 --> 00:42:34,319
Speaker 7: we don't agree on like these things, but there's only

821
00:42:34,360 --> 00:42:36,520
Speaker 7: like so much that you can put up with until

822
00:42:36,520 --> 00:42:38,400
Speaker 7: it's like you're just like too far apart.

823
00:42:38,440 --> 00:42:44,520
Speaker 3: And maybe this is just a sign of how polarized

824
00:42:44,520 --> 00:42:48,879
Speaker 3: we are right now, that that like gap between what people, Yeah,

825
00:42:48,920 --> 00:42:51,719
Speaker 3: like the realities kind of are, like we're living in

826
00:42:51,719 --> 00:42:55,919
Speaker 3: completely different realities, so there's more things that we disagree about.

827
00:42:56,440 --> 00:42:58,120
Speaker 3: I mean this also makes me think of like back

828
00:42:58,840 --> 00:43:02,160
Speaker 3: a year ago. Now, I mean that's crazy that this

829
00:43:02,239 --> 00:43:04,000
Speaker 3: was a year ago, but a year ago, and there

830
00:43:04,000 --> 00:43:07,840
Speaker 3: were these campaign ads that were like encouraging women to

831
00:43:08,080 --> 00:43:11,400
Speaker 3: vote for Kamala Harris even if like their partners were

832
00:43:11,480 --> 00:43:14,400
Speaker 3: voting for Trump. Yeah, it was mainly Yeah, I was

833
00:43:14,400 --> 00:43:15,440
Speaker 3: mainly aimed at women.

834
00:43:16,840 --> 00:43:17,640
Speaker 2: And I mean I.

835
00:43:17,560 --> 00:43:19,880
Speaker 3: Think the fact that this was something, this was a

836
00:43:19,920 --> 00:43:23,600
Speaker 3: reality that like the Harris campaign understood to an extent

837
00:43:23,719 --> 00:43:26,160
Speaker 3: and was like trying to campaign.

838
00:43:25,800 --> 00:43:27,759
Speaker 2: On shows how.

839
00:43:29,160 --> 00:43:35,480
Speaker 3: Polarized, like in terms of gender we are especially. I

840
00:43:35,480 --> 00:43:36,840
Speaker 3: mean this also like makes you think if there was

841
00:43:36,840 --> 00:43:38,600
Speaker 3: this article I ran a while ago about how like

842
00:43:39,239 --> 00:43:43,200
Speaker 3: gen Z women were dating older men a lot more,

843
00:43:43,360 --> 00:43:46,680
Speaker 3: and like it wasn't because of like the visual reasons

844
00:43:46,800 --> 00:43:49,239
Speaker 3: you know, people would be in age gap relationships, but

845
00:43:49,280 --> 00:43:52,919
Speaker 3: it was literally because a lot of gen Z men

846
00:43:53,080 --> 00:43:55,600
Speaker 3: have become and like this is generalizing obviously, but like

847
00:43:55,640 --> 00:43:59,120
Speaker 3: a lot of them have gone so far right and

848
00:43:59,200 --> 00:44:03,000
Speaker 3: have gotten like red pilled or whatever, like gone to

849
00:44:03,080 --> 00:44:07,520
Speaker 3: the whole like Andrew hate spiral and so it's like

850
00:44:08,440 --> 00:44:11,080
Speaker 3: there's literally no good options of people at our age.

851
00:44:11,120 --> 00:44:13,080
Speaker 3: So sure, yeah, we'll look to the like older generation

852
00:44:13,160 --> 00:44:15,840
Speaker 3: that maybe has like a little bit more progressive beliefs.

853
00:44:16,480 --> 00:44:18,359
Speaker 3: I thought that was really interesting. I mean, I don't

854
00:44:18,560 --> 00:44:20,120
Speaker 3: this isn't really like something I have to deal with

855
00:44:20,120 --> 00:44:22,560
Speaker 3: in my dating life. But like, like honestly, I talked

856
00:44:22,600 --> 00:44:25,920
Speaker 3: to like my straight girlfriends and I'm like, the dat

857
00:44:25,960 --> 00:44:29,120
Speaker 3: excite seems really bleak, Like I totally get that, Like

858
00:44:29,320 --> 00:44:31,680
Speaker 3: there clearly is a gender gap right now, and I

859
00:44:31,680 --> 00:44:36,160
Speaker 3: mean mainly among heterosexual people, but not always.

860
00:44:36,320 --> 00:44:39,360
Speaker 2: And yeah, there, I can't imagine.

861
00:44:39,000 --> 00:44:41,840
Speaker 3: What it's like right now, like being a straight woman

862
00:44:41,960 --> 00:44:42,840
Speaker 3: trying to date.

863
00:44:43,360 --> 00:44:48,960
Speaker 1: Yeah, many years ago, I I like casually dated someone

864
00:44:49,520 --> 00:44:51,680
Speaker 1: and this is someone who I thought I was like,

865
00:44:51,760 --> 00:44:53,759
Speaker 1: I have met the person I'm going to marry, Like

866
00:44:53,800 --> 00:44:57,279
Speaker 1: this is this person is going like I'm our first date.

867
00:44:57,320 --> 00:45:00,560
Speaker 1: I'm like, I'm planning my wedding. Uh, and we I

868
00:45:00,560 --> 00:45:02,520
Speaker 1: had to break it off when I found out that

869
00:45:02,600 --> 00:45:08,040
Speaker 1: he deeply believed a very specific and incorrect conspiracy theory

870
00:45:08,360 --> 00:45:09,560
Speaker 1: and it was something that I was like, I don't

871
00:45:09,600 --> 00:45:12,080
Speaker 1: think I'm gonna be able to like drop this. Basically,

872
00:45:12,680 --> 00:45:17,960
Speaker 1: this guy was gorgeous, probably the most attractive person I've

873
00:45:17,960 --> 00:45:20,160
Speaker 1: ever seen in my life. In real we didn't know that.

874
00:45:20,320 --> 00:45:24,879
Speaker 1: Just put it out whatever you're imagining gorgeous. So he'd

875
00:45:24,880 --> 00:45:27,080
Speaker 1: been living in New York City, but it just moved

876
00:45:27,080 --> 00:45:29,400
Speaker 1: to d C because he was a restaurant tour He

877
00:45:29,480 --> 00:45:32,000
Speaker 1: was opening a new restaurant in DC that he was

878
00:45:32,000 --> 00:45:34,000
Speaker 1: going to be the owner and head chef of.

879
00:45:34,360 --> 00:45:38,000
Speaker 2: He was French, he had a great accent. He was hilarious.

880
00:45:38,480 --> 00:45:40,799
Speaker 1: You know the cliche in movies of a girl who

881
00:45:40,880 --> 00:45:42,880
Speaker 1: goes on one or two good dates and then is

882
00:45:43,200 --> 00:45:45,280
Speaker 1: going home and essentially planning her wedding.

883
00:45:45,719 --> 00:45:46,200
Speaker 2: That was me.

884
00:45:46,760 --> 00:45:50,200
Speaker 1: It's Christmas time. He's from France, and I say, oh,

885
00:45:50,280 --> 00:45:53,080
Speaker 1: what are you doing for Christmas? You know, da da da,

886
00:45:53,120 --> 00:45:55,320
Speaker 1: And he says, oh, I'm going home to France.

887
00:45:55,360 --> 00:45:57,080
Speaker 2: And I was like, oh, that's so nice.

888
00:45:57,520 --> 00:45:58,840
Speaker 1: At the time, I had not been to France. And

889
00:45:58,840 --> 00:46:02,120
Speaker 1: I said, oh, I'm what France like and Christmas? And

890
00:46:02,160 --> 00:46:04,879
Speaker 1: he said, oh, well, it used to be lovely when

891
00:46:04,920 --> 00:46:07,279
Speaker 1: I was a kid, but now and there used to

892
00:46:07,320 --> 00:46:11,680
Speaker 1: be Christmas markets. But unfortunately now Christmas markets are illegal

893
00:46:11,719 --> 00:46:14,600
Speaker 1: in France because of the Muslims, and because of Muslims,

894
00:46:14,760 --> 00:46:18,000
Speaker 1: they have outlawed and banned Christmas markets in France. And

895
00:46:18,040 --> 00:46:20,160
Speaker 1: I said, well, that's not true. I see pictures of

896
00:46:20,239 --> 00:46:22,080
Speaker 1: Christmas markets in France all the time.

897
00:46:22,239 --> 00:46:26,640
Speaker 2: Also, France historically a very pro Islam culture.

898
00:46:26,560 --> 00:46:31,719
Speaker 3: Never never had any issues with minority religions.

899
00:46:32,960 --> 00:46:36,120
Speaker 2: As a Jewish person, I can said this is what

900
00:46:36,160 --> 00:46:38,319
Speaker 2: I'm saying. Like what he was saying was so.

901
00:46:38,440 --> 00:46:41,600
Speaker 1: Ridiculous that I was like, oh no, he's not smart,

902
00:46:41,840 --> 00:46:45,080
Speaker 1: Like that was truly it like shattered something. But then

903
00:46:45,160 --> 00:46:47,680
Speaker 1: you know, I guess I just feel like what someone

904
00:46:47,760 --> 00:46:51,600
Speaker 1: reveals themselves to be one not a critical thinker and

905
00:46:51,640 --> 00:46:58,960
Speaker 1: then too believing an islamophobic, easily debunkable conspiracy theory. It's

906
00:46:59,000 --> 00:47:01,319
Speaker 1: like like I I didn't I didn't want to stick

907
00:47:01,320 --> 00:47:03,960
Speaker 1: around to find out more about that worldview and where

908
00:47:04,000 --> 00:47:07,960
Speaker 1: it let where it ended. And you know, I and

909
00:47:08,080 --> 00:47:10,120
Speaker 1: we're talking over with a friend and he was like, unfortunately,

910
00:47:10,120 --> 00:47:13,880
Speaker 1: that's actually like quite a common attitude in France.

911
00:47:13,960 --> 00:47:14,560
Speaker 2: Unfortunately.

912
00:47:15,600 --> 00:47:16,960
Speaker 1: Yeah, so we had to I had to break it

913
00:47:16,960 --> 00:47:19,200
Speaker 1: off with someone that I genuinely thought was gonna be

914
00:47:19,280 --> 00:47:23,800
Speaker 1: my my soulmate. Yeah, based based mostly on looks and

915
00:47:23,840 --> 00:47:27,120
Speaker 1: clocking ability. Really, now now that I'm like really being honest.

916
00:47:26,880 --> 00:47:29,760
Speaker 3: And those are balid things to look for a soulmate,

917
00:47:30,360 --> 00:47:32,560
Speaker 3: I think personally, thank you, No.

918
00:47:32,600 --> 00:47:33,879
Speaker 2: That's a real I was gonna say.

919
00:47:33,960 --> 00:47:37,160
Speaker 3: I honestly dating a European you you get to learn

920
00:47:37,200 --> 00:47:39,879
Speaker 3: about a whole new brand of racism that you've never

921
00:47:41,040 --> 00:47:44,080
Speaker 3: uh bridget one day. Well we'll trade stories about our

922
00:47:44,320 --> 00:47:46,560
Speaker 3: our mutual I am not going to go and.

923
00:47:46,600 --> 00:47:49,720
Speaker 2: Seal on this podcast, but there were uh.

924
00:47:51,000 --> 00:47:52,920
Speaker 3: You know, I will say at least I was the

925
00:47:52,960 --> 00:47:55,840
Speaker 3: first Jewish person that one of my exes had ever met,

926
00:47:55,880 --> 00:47:59,400
Speaker 3: and that was something that resulted in some interesting comments.

927
00:47:59,560 --> 00:47:59,840
Speaker 2: Everyone.

928
00:48:00,000 --> 00:48:05,319
Speaker 3: It's a while, but yeah, yeah, yeah, it's a fun

929
00:48:05,320 --> 00:48:07,200
Speaker 3: Europe is really fun, really cool place.

930
00:48:07,400 --> 00:48:11,320
Speaker 1: They're doing hate in like real novel ways. It's like

931
00:48:11,360 --> 00:48:13,600
Speaker 1: you learn new they found.

932
00:48:14,280 --> 00:48:17,120
Speaker 7: Like ways to be racist to other white people that

933
00:48:17,200 --> 00:48:18,560
Speaker 7: you would have never imagined.

934
00:48:19,560 --> 00:48:19,759
Speaker 4: You know.

935
00:48:21,320 --> 00:48:24,280
Speaker 2: Oh boy, it's so true.

936
00:48:28,719 --> 00:48:43,000
Speaker 1: More after a quick break, let's get right back into it.

937
00:48:47,080 --> 00:48:47,400
Speaker 2: Okay.

938
00:48:47,440 --> 00:48:52,240
Speaker 1: So lastly, Joey, I know we are of different age eras,

939
00:48:52,239 --> 00:48:55,359
Speaker 1: but if you will allow me a little bit of nostalgia.

940
00:48:56,200 --> 00:48:58,360
Speaker 1: If you are listening to this and you are my

941
00:48:58,520 --> 00:49:03,920
Speaker 1: age or older, this sound you probably associate with the Internet,

942
00:49:04,000 --> 00:49:15,319
Speaker 1: specifically booting up America online back in the day. Even

943
00:49:15,360 --> 00:49:16,960
Speaker 1: hearing a little taste of it, I feel like I

944
00:49:17,000 --> 00:49:20,759
Speaker 1: get chills because it reminds me of being up in

945
00:49:20,800 --> 00:49:22,840
Speaker 1: the computer room getting online.

946
00:49:22,960 --> 00:49:23,440
Speaker 4: Is it you?

947
00:49:23,480 --> 00:49:25,880
Speaker 2: Did you have this? Does this mean anything to you?

948
00:49:26,560 --> 00:49:30,280
Speaker 2: I did? I did? For the record, I do remember

949
00:49:30,560 --> 00:49:32,239
Speaker 2: aol I okay good.

950
00:49:32,760 --> 00:49:35,719
Speaker 3: I was born in ninety nine, so I had a

951
00:49:35,800 --> 00:49:39,640
Speaker 3: little bit of the early Internet era I did. My first,

952
00:49:39,760 --> 00:49:44,520
Speaker 3: you know, introduction to computers was my family's desktop. I

953
00:49:44,560 --> 00:49:50,120
Speaker 3: didn't have an iPhone until I was fifteen, so I

954
00:49:50,160 --> 00:49:53,120
Speaker 3: did get in trouble in elementary school for using our

955
00:49:53,160 --> 00:49:55,400
Speaker 3: family printer to print out a bunch of like pictures

956
00:49:55,400 --> 00:49:57,239
Speaker 3: from like Star Wars movies that I wanted to put

957
00:49:57,280 --> 00:49:59,000
Speaker 3: on my wall, and they were my parents were like,

958
00:49:59,040 --> 00:50:00,560
Speaker 3: you used up like all of our ink with the

959
00:50:00,600 --> 00:50:03,360
Speaker 3: hell And I was like, what one thing in color would.

960
00:50:03,120 --> 00:50:04,280
Speaker 2: Be like that's the whole canady?

961
00:50:04,320 --> 00:50:07,759
Speaker 3: Yeah, I was like, I need this giant picture of

962
00:50:08,160 --> 00:50:10,680
Speaker 3: Potter May from Star Wars.

963
00:50:12,040 --> 00:50:13,200
Speaker 2: And then somehow it.

964
00:50:13,160 --> 00:50:15,320
Speaker 3: Took me till I was like fifteen to realize that

965
00:50:15,360 --> 00:50:18,240
Speaker 3: I was gay. But it's fine whatever, that's another story.

966
00:50:20,280 --> 00:50:24,560
Speaker 3: But yes, I do remember, although I feel I do definitely,

967
00:50:24,560 --> 00:50:27,200
Speaker 3: I will say like it was a shorter period of

968
00:50:27,200 --> 00:50:29,839
Speaker 3: my life than I think for a lot of our

969
00:50:29,880 --> 00:50:34,360
Speaker 3: listeners of you, and.

970
00:50:32,640 --> 00:50:34,040
Speaker 2: I say that without disrespect.

971
00:50:34,120 --> 00:50:37,239
Speaker 3: Again, I love the millennials. I love the millennials. Y'all

972
00:50:37,239 --> 00:50:38,160
Speaker 3: did so much for us.

973
00:50:38,239 --> 00:50:40,040
Speaker 2: Thank you. None taken.

974
00:50:40,280 --> 00:50:43,320
Speaker 1: We don't get down with any of the like millennial

975
00:50:43,800 --> 00:50:47,399
Speaker 1: gen z right, we're not about goode and exactly. We're

976
00:50:47,400 --> 00:50:50,359
Speaker 1: all love on this podcast, I was fourteen years old

977
00:50:50,400 --> 00:50:53,080
Speaker 1: reading a bout of speed being like so true.

978
00:50:53,120 --> 00:50:57,440
Speaker 2: I also can't afford a house. We're the same, That's.

979
00:50:57,320 --> 00:50:59,239
Speaker 1: The thing is like, why are we a pitty again?

980
00:50:59,239 --> 00:51:01,040
Speaker 1: None of us can have a shit? Why are we

981
00:51:01,080 --> 00:51:04,440
Speaker 1: pinning each other against each other? B Yeah, we're all broke,

982
00:51:04,520 --> 00:51:06,919
Speaker 1: We're all trading around the same twenty.

983
00:51:06,600 --> 00:51:09,239
Speaker 2: Dollars literally each other. Why why should we be at

984
00:51:09,239 --> 00:51:10,920
Speaker 2: odds with each other? We shouldn't be.

985
00:51:11,080 --> 00:51:14,879
Speaker 3: The world is on fire. We love Lady Gaga. What

986
00:51:14,920 --> 00:51:18,240
Speaker 3: else is there? I don't know what.

987
00:51:18,040 --> 00:51:20,440
Speaker 2: Else is there to talk about? Everything is computer? What

988
00:51:20,520 --> 00:51:22,560
Speaker 2: else you get talking about I really got a computer.

989
00:51:22,640 --> 00:51:29,320
Speaker 2: Everybody's transgender. Let's go everything is computer transgender for everybody.

990
00:51:29,440 --> 00:51:31,800
Speaker 2: Funny but AOL.

991
00:51:32,000 --> 00:51:35,760
Speaker 1: Yes, yes, okay, So I've talked about this on the podcast,

992
00:51:35,840 --> 00:51:37,880
Speaker 1: and I just got to give it up.

993
00:51:37,680 --> 00:51:40,399
Speaker 2: To AOL that noise. When I was.

994
00:51:40,320 --> 00:51:43,800
Speaker 1: Growing up, it was possibility. It was like the portal

995
00:51:43,840 --> 00:51:45,560
Speaker 1: to the new world.

996
00:51:45,080 --> 00:51:46,120
Speaker 2: You know, Joey.

997
00:51:46,120 --> 00:51:49,319
Speaker 1: But for people who were younger, it was like how

998
00:51:49,400 --> 00:51:53,120
Speaker 1: you got online, Like getting online meant that it tied

999
00:51:53,239 --> 00:51:55,960
Speaker 1: up your family's phone line. I have very clear I

1000
00:51:55,960 --> 00:51:58,839
Speaker 1: can hear my mom, God rest her soul. I can

1001
00:51:58,840 --> 00:52:02,560
Speaker 1: hear the pitch, the specific pitch of her voice being like,

1002
00:52:02,800 --> 00:52:04,000
Speaker 1: get out the damn.

1003
00:52:03,719 --> 00:52:06,000
Speaker 2: Phone, get out the damn computer.

1004
00:52:06,040 --> 00:52:08,040
Speaker 3: I'm trying to make a call like this was this

1005
00:52:08,200 --> 00:52:10,480
Speaker 3: was before, this was before everything was computer.

1006
00:52:10,719 --> 00:52:13,360
Speaker 1: So yeah, but everything had everything was not yet computer,

1007
00:52:13,600 --> 00:52:16,640
Speaker 1: and it could either be on the computer or your

1008
00:52:16,640 --> 00:52:20,279
Speaker 1: mom could be making phone calls for her literal life

1009
00:52:20,440 --> 00:52:22,440
Speaker 1: or death job as a medical doctor.

1010
00:52:23,040 --> 00:52:25,600
Speaker 2: It was one of the exactly I'm like, why is

1011
00:52:25,640 --> 00:52:27,200
Speaker 2: my dad mad at me? Because he needs to use

1012
00:52:27,239 --> 00:52:28,120
Speaker 2: the printer for.

1013
00:52:29,880 --> 00:52:32,640
Speaker 3: His like work, And I'm like, but again, I need

1014
00:52:32,719 --> 00:52:36,520
Speaker 3: to pick this picture of Yeah, Anakin from Star Wars.

1015
00:52:36,760 --> 00:52:38,680
Speaker 1: I'm finding out that the truth is out there and

1016
00:52:38,760 --> 00:52:41,759
Speaker 1: an X files the chat room. I don't care that

1017
00:52:41,800 --> 00:52:44,520
Speaker 1: you have like actual adult work to do, and then

1018
00:52:44,520 --> 00:52:46,879
Speaker 1: I'm tying up the phone lines preventing you from doing it.

1019
00:52:47,080 --> 00:52:50,759
Speaker 1: But so, yeah, it just really was something special, and

1020
00:52:50,800 --> 00:52:52,560
Speaker 1: believe it or not, I was shocked to hear this.

1021
00:52:52,920 --> 00:52:56,040
Speaker 1: A handful of households in the United States we're still

1022
00:52:56,160 --> 00:52:58,400
Speaker 1: using that exact same technology, dial up.

1023
00:52:58,600 --> 00:53:00,399
Speaker 2: As recently as last week.

1024
00:53:00,600 --> 00:53:03,040
Speaker 1: Census data from twenty twenty three showed that about one

1025
00:53:03,080 --> 00:53:06,279
Speaker 1: hundred and sixty three thousand households were still overlying on

1026
00:53:06,400 --> 00:53:09,040
Speaker 1: dial up for their Internet. That's just over a ten

1027
00:53:09,160 --> 00:53:14,120
Speaker 1: of a percent of all Internet subscribers nationwide. However, this week,

1028
00:53:14,440 --> 00:53:18,920
Speaker 1: America Online AOL confirmed it was officially pulling the plug

1029
00:53:19,280 --> 00:53:22,880
Speaker 1: on its dial up service or good So like, if

1030
00:53:22,920 --> 00:53:25,319
Speaker 1: you did not live through it, I cannot express to

1031
00:53:25,360 --> 00:53:29,640
Speaker 1: you how much AOL was synonymous with the Internet back

1032
00:53:29,680 --> 00:53:31,680
Speaker 1: in the day, and it was very much was what

1033
00:53:31,760 --> 00:53:35,360
Speaker 1: the Internet was for an entire generation and has shaped

1034
00:53:35,719 --> 00:53:38,040
Speaker 1: what the Internet has become for all of us ever since.

1035
00:53:38,440 --> 00:53:41,240
Speaker 1: If you've seen that movie, you've got mail It's called

1036
00:53:41,280 --> 00:53:43,360
Speaker 1: that because when you would get on the America Online,

1037
00:53:43,400 --> 00:53:46,239
Speaker 1: the little guy would say, you've got mail. That was

1038
00:53:46,280 --> 00:53:48,480
Speaker 1: literally what AOL told you when you would sign in.

1039
00:53:48,880 --> 00:53:54,080
Speaker 1: That little voice became iconic. AOL CDs were absolutely everywhere.

1040
00:53:54,080 --> 00:53:56,120
Speaker 1: They were like fall out of magazines. They would come

1041
00:53:56,120 --> 00:53:58,480
Speaker 1: in the mail randomly. When you would go to Blockbuster

1042
00:53:58,640 --> 00:54:00,279
Speaker 1: where they would give your change, they would give you

1043
00:54:00,360 --> 00:54:01,600
Speaker 1: an AOL.

1044
00:54:01,120 --> 00:54:03,520
Speaker 2: CD you would order repeat it. It would be like

1045
00:54:03,520 --> 00:54:10,840
Speaker 2: like glued to the top of the buy Sorry, what's Blockbuster? Okay, Joey.

1046
00:54:12,200 --> 00:54:14,799
Speaker 1: I So although I know, I know, even if you

1047
00:54:14,840 --> 00:54:16,759
Speaker 1: didn't live through some of this, I know that you're

1048
00:54:16,840 --> 00:54:17,920
Speaker 1: like a nostalgia.

1049
00:54:18,760 --> 00:54:20,719
Speaker 3: I was about to say I watched Stranger Things, of

1050
00:54:20,719 --> 00:54:23,000
Speaker 3: course I know, but they actually in Stranger Things they

1051
00:54:23,080 --> 00:54:26,080
Speaker 3: worked at Family Video and there, well, there was a

1052
00:54:26,080 --> 00:54:28,719
Speaker 3: family video like a couple of blocks for me growing

1053
00:54:28,800 --> 00:54:30,920
Speaker 3: up that actually one of my best friends are high

1054
00:54:30,960 --> 00:54:32,719
Speaker 3: school worked out for a little bit because it was

1055
00:54:32,800 --> 00:54:37,600
Speaker 3: it was still open into the twins for us. But yes,

1056
00:54:37,719 --> 00:54:41,480
Speaker 3: I am Family video is the one closest to me.

1057
00:54:41,600 --> 00:54:43,279
Speaker 3: But I missed that that was a.

1058
00:54:43,680 --> 00:54:46,359
Speaker 1: We were a family video family and there was also

1059
00:54:46,400 --> 00:54:49,000
Speaker 1: a Hollywood video sometimes when we go to I think

1060
00:54:49,080 --> 00:54:50,839
Speaker 1: I want to say we had an issue, like like

1061
00:54:51,200 --> 00:54:53,560
Speaker 1: we didn't RedWine the videos or something, we had some

1062
00:54:53,600 --> 00:54:54,600
Speaker 1: sort of problem with them.

1063
00:54:54,640 --> 00:54:57,880
Speaker 2: But yeah, those were the days. Those are the days.

1064
00:54:58,239 --> 00:55:02,600
Speaker 3: I Netflix just is the same as Uh there's like

1065
00:55:02,600 --> 00:55:05,600
Speaker 3: like you you don't have like the smell, you can't

1066
00:55:05,640 --> 00:55:11,200
Speaker 3: buy like shitty junior mints, or like like like a movie.

1067
00:55:10,880 --> 00:55:13,560
Speaker 2: Theater candy when you're checking out. It's not the same,

1068
00:55:13,640 --> 00:55:17,160
Speaker 2: you know. I honestly so, I we're both movie people.

1069
00:55:17,280 --> 00:55:21,600
Speaker 1: I honestly associate why that is for me with going

1070
00:55:21,680 --> 00:55:24,640
Speaker 1: to video stores, because you would just get the title

1071
00:55:24,920 --> 00:55:28,160
Speaker 1: and then a printed up like paragraph synopsis, and you

1072
00:55:28,160 --> 00:55:30,400
Speaker 1: would have to decide whether or not you wanted to

1073
00:55:30,440 --> 00:55:33,480
Speaker 1: watch a movie based on that. And I took a

1074
00:55:33,560 --> 00:55:35,400
Speaker 1: chance on a lot of movies I probably would never

1075
00:55:35,440 --> 00:55:37,160
Speaker 1: have seen at a very young age, just because I

1076
00:55:37,239 --> 00:55:40,000
Speaker 1: was like, oh, this paragraph makes it seem interesting. So yeah,

1077
00:55:40,040 --> 00:55:42,560
Speaker 1: I just I wanted to sort of pour one out

1078
00:55:42,680 --> 00:55:45,840
Speaker 1: for AOL. I don't think I'd be making this podcast

1079
00:55:45,880 --> 00:55:49,080
Speaker 1: if not for spending hours and hours and hours in

1080
00:55:49,120 --> 00:55:52,760
Speaker 1: the computer room using AOL. I read that at one point,

1081
00:55:53,280 --> 00:55:57,879
Speaker 1: half of all of the CDs manufactured worldwide where AO

1082
00:55:57,960 --> 00:56:00,839
Speaker 1: all sign up discs like that is a massive and

1083
00:56:01,520 --> 00:56:03,440
Speaker 1: you know, for me, and I think for probably a

1084
00:56:03,480 --> 00:56:05,520
Speaker 1: lot of us, it was not just technology. It was

1085
00:56:05,680 --> 00:56:10,440
Speaker 1: it was a lifeline. AOL chat rooms were genuinely how

1086
00:56:10,480 --> 00:56:13,080
Speaker 1: I figured out so much about myself. I saw reflections

1087
00:56:13,120 --> 00:56:16,480
Speaker 1: of myself. I saw worlds that I had never seen before,

1088
00:56:17,080 --> 00:56:18,560
Speaker 1: lifestyles I had never seen before.

1089
00:56:18,640 --> 00:56:19,920
Speaker 2: Is how I figured out I was queer.

1090
00:56:20,360 --> 00:56:25,600
Speaker 1: Like living in a small southern town, that glowing.

1091
00:56:25,160 --> 00:56:27,320
Speaker 2: Screen was like possibility to me.

1092
00:56:27,480 --> 00:56:30,920
Speaker 1: And I say this to say that we were alluding

1093
00:56:30,960 --> 00:56:33,600
Speaker 1: to this earlier, but it is so important that the

1094
00:56:33,680 --> 00:56:36,600
Speaker 1: generation behind us gets to have those same experiences. I'm

1095
00:56:36,640 --> 00:56:37,839
Speaker 1: not going to say those I'm not going to say

1096
00:56:37,840 --> 00:56:40,000
Speaker 1: that those experiences were all good because I was certainly

1097
00:56:40,719 --> 00:56:43,279
Speaker 1: in some online spaces, I certainly had no business in

1098
00:56:44,000 --> 00:56:46,640
Speaker 1: asking asl in some rooms that.

1099
00:56:46,719 --> 00:56:47,960
Speaker 2: I probably should not have been in.

1100
00:56:48,320 --> 00:56:52,799
Speaker 1: However, it truly was a lifeline that a life that

1101
00:56:52,880 --> 00:56:55,400
Speaker 1: I have now, which is fucking awesome and would not

1102
00:56:55,600 --> 00:56:56,800
Speaker 1: exist without the Internet.

1103
00:56:56,800 --> 00:56:59,279
Speaker 2: And it is so important that all youth.

1104
00:56:59,400 --> 00:57:03,080
Speaker 1: Trans youth, queer, FIS, youth straight use that they all

1105
00:57:03,360 --> 00:57:05,680
Speaker 1: have places like this where they can figure out who

1106
00:57:05,719 --> 00:57:09,239
Speaker 1: they are, and if these if we allow for the

1107
00:57:09,280 --> 00:57:12,200
Speaker 1: powers that be to regulate the Internet in such a

1108
00:57:12,200 --> 00:57:16,280
Speaker 1: way that it e rasis queerness and transness, I don't

1109
00:57:16,320 --> 00:57:17,880
Speaker 1: think that. I don't think that we're going to be

1110
00:57:17,920 --> 00:57:20,040
Speaker 1: creating an Internet landscape that allows for people to just

1111
00:57:20,040 --> 00:57:21,640
Speaker 1: figure out who they are, and we should And it

1112
00:57:21,960 --> 00:57:22,920
Speaker 1: was a beautiful thing for me.

1113
00:57:23,520 --> 00:57:24,440
Speaker 2: I don't want to sound too.

1114
00:57:24,480 --> 00:57:29,600
Speaker 1: Too sentimental, but with AOL fund setting it's dial up connection,

1115
00:57:29,680 --> 00:57:32,800
Speaker 1: it just was a moment where I really remembered that magic.

1116
00:57:33,000 --> 00:57:35,640
Speaker 1: I want to make sure that that magic is available

1117
00:57:36,080 --> 00:57:39,160
Speaker 1: for those that are coming up now and behind us.

1118
00:57:39,680 --> 00:57:42,440
Speaker 2: Totally, yeah, totally agree.

1119
00:57:42,520 --> 00:57:46,320
Speaker 3: I think like, and I mean again, I'm coming as

1120
00:57:46,360 --> 00:57:49,080
Speaker 3: this as somebody who I was as a tail on

1121
00:57:49,200 --> 00:57:50,800
Speaker 3: a herv of AOL.

1122
00:57:50,600 --> 00:57:52,360
Speaker 2: Kind of being a big thing.

1123
00:57:52,560 --> 00:57:55,520
Speaker 3: So that wasn't really like the Internet when I was

1124
00:57:56,360 --> 00:57:58,240
Speaker 3: experiencing the Internet. But at the same time, like, I

1125
00:57:58,280 --> 00:58:01,960
Speaker 3: totally resonate what you're saying. I think I was kind

1126
00:58:01,960 --> 00:58:04,240
Speaker 3: of at the tail end of the like the Internet

1127
00:58:04,240 --> 00:58:08,720
Speaker 3: being like the wild West, and just kind of being like, yeah,

1128
00:58:09,080 --> 00:58:10,560
Speaker 3: I look back and there's a lot of things where

1129
00:58:10,600 --> 00:58:12,800
Speaker 3: I'm like, cool, I probably should not have been exposed

1130
00:58:12,840 --> 00:58:14,880
Speaker 3: to at a young age, I probably should have whatever

1131
00:58:15,120 --> 00:58:15,440
Speaker 3: there was.

1132
00:58:15,520 --> 00:58:19,400
Speaker 2: I was a tumbler kid, I was you know, online

1133
00:58:19,560 --> 00:58:20,120
Speaker 2: being like.

1134
00:58:21,880 --> 00:58:24,960
Speaker 3: No, don't kill yourself. Some people that were probably like

1135
00:58:25,000 --> 00:58:27,760
Speaker 3: ten years older than me. Yeah, that wasn't great that

1136
00:58:27,920 --> 00:58:32,320
Speaker 3: being said a lot of shit about my life. Now, Like,

1137
00:58:33,600 --> 00:58:36,760
Speaker 3: it gave me space to like find out who I was,

1138
00:58:36,840 --> 00:58:39,080
Speaker 3: and it gave me space to like explore and like

1139
00:58:39,160 --> 00:58:42,760
Speaker 3: see that there was like another world out there, And

1140
00:58:42,840 --> 00:58:44,280
Speaker 3: I think that is really important.

1141
00:58:44,280 --> 00:58:46,600
Speaker 2: And I think, like like Kebridge it, that is kind.

1142
00:58:46,480 --> 00:58:49,600
Speaker 3: Of why I like, I think the Internet was like

1143
00:58:49,600 --> 00:58:51,360
Speaker 3: a huge part of my life growing up. I think

1144
00:58:51,400 --> 00:58:53,040
Speaker 3: it like it can used to be a huge part

1145
00:58:53,080 --> 00:58:55,480
Speaker 3: of my life. I think that is something that on

1146
00:58:55,520 --> 00:58:57,160
Speaker 3: the one hand, I agree, like, yeah, I want it

1147
00:58:57,240 --> 00:59:01,320
Speaker 3: to be safe for a healthier for the next generation,

1148
00:59:01,400 --> 00:59:03,240
Speaker 3: but I want them to have access to that. I

1149
00:59:03,280 --> 00:59:06,320
Speaker 3: want them to have access to being able to like

1150
00:59:06,440 --> 00:59:10,720
Speaker 3: explore new ideas and new possibilities. And unfortunately it's kind

1151
00:59:10,760 --> 00:59:13,880
Speaker 3: of like there's no real solution or like easy option

1152
00:59:14,000 --> 00:59:15,439
Speaker 3: to be like and we need to do that because

1153
00:59:15,440 --> 00:59:18,400
Speaker 3: it's like, no, we shouldn't also be like the state

1154
00:59:18,440 --> 00:59:21,320
Speaker 3: of the internet right now is so depressing, and so

1155
00:59:22,880 --> 00:59:25,440
Speaker 3: it makes me so sad for the next generation to

1156
00:59:25,440 --> 00:59:27,760
Speaker 3: be like this is what it's gonna be.

1157
00:59:28,280 --> 00:59:30,360
Speaker 2: So yeah, no, I agree, this is it is sad

1158
00:59:30,360 --> 00:59:30,840
Speaker 2: to see that.

1159
00:59:30,960 --> 00:59:32,480
Speaker 3: And it's also it's like one of those things where

1160
00:59:32,480 --> 00:59:36,840
Speaker 3: it's like the way like looking at how fast technology moves,

1161
00:59:36,880 --> 00:59:39,000
Speaker 3: not to be too nostalgic about this, like obviously yes

1162
00:59:39,040 --> 00:59:41,640
Speaker 3: there were still problems, and it's kind of like it

1163
00:59:41,640 --> 00:59:44,240
Speaker 3: feels like it's like the end of the Internet feeling hopeful.

1164
00:59:44,840 --> 00:59:49,240
Speaker 1: Yeah, yeah, yeah, that's exact. You really articulated that well,

1165
00:59:50,120 --> 00:59:53,360
Speaker 1: and yeah, I really you know, We've talked to a

1166
00:59:53,400 --> 00:59:56,080
Speaker 1: Neil dash an og internet entrepreneur who was like, oh,

1167
00:59:56,160 --> 00:59:59,040
Speaker 1: let's not get caught up in false nostalgia. But so

1168
00:59:59,080 --> 01:00:01,200
Speaker 1: I don't want to do that, but it does feel

1169
01:00:01,200 --> 01:00:05,400
Speaker 1: like we're at the end of that era where the

1170
01:00:05,480 --> 01:00:10,880
Speaker 1: Internet felt like promise and not just a slog that

1171
01:00:11,240 --> 01:00:16,400
Speaker 1: was being hijacked and weaponized and sold and codified. And

1172
01:00:16,880 --> 01:00:19,000
Speaker 1: I just we can't let them take the Internet. I

1173
01:00:19,040 --> 01:00:21,640
Speaker 1: think that we deserve an internet landscape and a tech

1174
01:00:21,760 --> 01:00:25,160
Speaker 1: landscape that feels like connection and community and it feels

1175
01:00:25,200 --> 01:00:28,000
Speaker 1: like hope, you know, community the show and also community

1176
01:00:28,320 --> 01:00:32,240
Speaker 1: small c community. That feels like hope, And I guess

1177
01:00:32,240 --> 01:00:35,200
Speaker 1: I always just feel heartened by the fact that there

1178
01:00:35,200 --> 01:00:38,920
Speaker 1: are more people that want that and are really there

1179
01:00:38,920 --> 01:00:42,479
Speaker 1: are more smart nerds who want to do the work

1180
01:00:42,520 --> 01:00:45,320
Speaker 1: of recapturing that and rebuilding that than there are people

1181
01:00:45,360 --> 01:00:47,440
Speaker 1: who just want to sell it back to us and

1182
01:00:47,480 --> 01:00:49,840
Speaker 1: commodify it. Like I'm just going to talk about this

1183
01:00:49,880 --> 01:00:51,960
Speaker 1: on the News Roundup. But you you live in New York,

1184
01:00:52,640 --> 01:00:56,400
Speaker 1: there was a whole thing where an AI companion service

1185
01:00:56,440 --> 01:00:59,760
Speaker 1: had taken out ads and the subway and.

1186
01:01:00,240 --> 01:01:03,320
Speaker 2: By these all the time. It is so weird. It

1187
01:01:03,400 --> 01:01:06,560
Speaker 2: is so weird. It's the friend ones. They're all called

1188
01:01:06,600 --> 01:01:07,240
Speaker 2: like friend too.

1189
01:01:07,320 --> 01:01:10,160
Speaker 3: It is so like I I will I'd say too,

1190
01:01:10,320 --> 01:01:13,120
Speaker 3: like on just like my most people I follow obviously

1191
01:01:13,160 --> 01:01:14,840
Speaker 3: are in people that I know in New York. And

1192
01:01:14,880 --> 01:01:17,320
Speaker 3: like I've seen so many people sharing photos of like

1193
01:01:17,360 --> 01:01:21,800
Speaker 3: the graffitied over signs too, and that that does again,

1194
01:01:21,840 --> 01:01:22,680
Speaker 3: like that gives me hope.

1195
01:01:22,680 --> 01:01:24,720
Speaker 2: The fact that people are pushing back I think.

1196
01:01:24,600 --> 01:01:28,160
Speaker 3: Like I think again, just like with the AI stuff,

1197
01:01:28,240 --> 01:01:31,400
Speaker 3: something that on the one hand, yes, I am somebody

1198
01:01:31,440 --> 01:01:33,520
Speaker 3: who going back to the story like I grew up

1199
01:01:33,560 --> 01:01:35,600
Speaker 3: in the Internet. I think the Internet is great and

1200
01:01:35,680 --> 01:01:38,440
Speaker 3: it's helpful. I think specifically seeing like the pushback with

1201
01:01:38,480 --> 01:01:41,800
Speaker 3: AI has given me hope. I think specifically like I've

1202
01:01:41,880 --> 01:01:45,120
Speaker 3: had a lot of moments with the especially stuff with

1203
01:01:45,120 --> 01:01:49,080
Speaker 3: people like having like AI like boyfriends and girlfriends or yeah,

1204
01:01:49,080 --> 01:01:52,080
Speaker 3: like the AI friend thing where I was like am

1205
01:01:52,120 --> 01:01:53,920
Speaker 3: I like, do I have to try and look at

1206
01:01:53,920 --> 01:01:55,920
Speaker 3: this at a different perspective or like no me, And

1207
01:01:55,960 --> 01:01:57,560
Speaker 3: I'm like, no, no, this is weird.

1208
01:01:58,000 --> 01:01:59,400
Speaker 2: I have moral concerns with this.

1209
01:01:59,480 --> 01:02:02,240
Speaker 3: Here's why it affects how we as like a community

1210
01:02:02,280 --> 01:02:06,480
Speaker 3: interact with each other. And I think seeing the backlash

1211
01:02:06,520 --> 01:02:09,800
Speaker 3: that it's getting like that gives me hope. I think, yeah,

1212
01:02:10,120 --> 01:02:15,400
Speaker 3: somebody went to all of those different AI friend advertisements,

1213
01:02:15,440 --> 01:02:17,680
Speaker 3: like that company, you must have spent lots of money

1214
01:02:17,720 --> 01:02:20,840
Speaker 3: to trick out the MTA system with those billboards, and

1215
01:02:20,880 --> 01:02:25,960
Speaker 3: somebody is graffeeding them, writing things like stop exploiting our loneliness.

1216
01:02:26,080 --> 01:02:29,320
Speaker 3: And I think, you know, I think there's a wisdom there,

1217
01:02:29,360 --> 01:02:33,720
Speaker 3: and I think it really does show that people want humanity,

1218
01:02:33,760 --> 01:02:37,640
Speaker 3: people want connection, people want community, people want to be

1219
01:02:37,840 --> 01:02:41,000
Speaker 3: in community with each other, and these these tech these

1220
01:02:41,040 --> 01:02:46,160
Speaker 3: this handful of white tech oligarchs trying to exploit that

1221
01:02:47,120 --> 01:02:49,320
Speaker 3: and sell it back to us, and then the form

1222
01:02:49,360 --> 01:02:49,800
Speaker 3: of AI.

1223
01:02:50,160 --> 01:02:54,240
Speaker 1: People are saying no. The backlash to that AI actor

1224
01:02:54,640 --> 01:02:55,840
Speaker 1: that recently popped up.

1225
01:02:56,160 --> 01:02:57,160
Speaker 2: People don't people.

1226
01:02:57,440 --> 01:02:59,720
Speaker 1: I don't know how much louder people need to be

1227
01:02:59,760 --> 01:03:02,560
Speaker 1: saying no until the powers that beget it, But people

1228
01:03:02,600 --> 01:03:04,080
Speaker 1: are saying no very loudly.

1229
01:03:04,360 --> 01:03:10,479
Speaker 2: You don't stand Tillie Norwood. What do you mean? Also,

1230
01:03:10,640 --> 01:03:12,600
Speaker 2: way to know her name off the top of your head,

1231
01:03:12,640 --> 01:03:13,560
Speaker 2: it will be so real.

1232
01:03:13,640 --> 01:03:15,400
Speaker 3: The only reason I do know her name is because

1233
01:03:15,400 --> 01:03:17,600
Speaker 3: I've seen so many like actors that I follow, like

1234
01:03:17,680 --> 01:03:20,960
Speaker 3: making parodies being like I, okay, first all, I love

1235
01:03:21,200 --> 01:03:24,080
Speaker 3: Meg stlsher so fucking funny. She's She made like a

1236
01:03:24,080 --> 01:03:26,640
Speaker 3: really funny one recently where she was like pretending to

1237
01:03:26,680 --> 01:03:27,840
Speaker 3: be like another AI thing.

1238
01:03:27,680 --> 01:03:29,880
Speaker 2: And she was like actually, like it was like this twice.

1239
01:03:29,960 --> 01:03:32,240
Speaker 2: Lenora is a looking bitch. She's terrible. I don't know,

1240
01:03:32,280 --> 01:03:33,120
Speaker 2: she looks like it.

1241
01:03:33,280 --> 01:03:35,240
Speaker 3: There was one the actress who plays I'm blaky on

1242
01:03:35,280 --> 01:03:37,360
Speaker 3: her name, but she's the actorss who plays Nessa and

1243
01:03:37,400 --> 01:03:38,560
Speaker 3: Wicked and the Wicked movie.

1244
01:03:38,600 --> 01:03:40,000
Speaker 2: Oh yeah, yeah. She made one where she.

1245
01:03:40,000 --> 01:03:41,640
Speaker 3: Was like, guys, like I need to be honest, and

1246
01:03:41,680 --> 01:03:43,160
Speaker 3: she like she was like she like pushed me out

1247
01:03:43,160 --> 01:03:43,320
Speaker 3: of my.

1248
01:03:43,320 --> 01:03:45,320
Speaker 2: Wheelchair, Like she's just like terrible.

1249
01:03:45,760 --> 01:03:48,240
Speaker 3: Like I just I do think it's really funny saying

1250
01:03:48,280 --> 01:03:50,280
Speaker 3: all these actors now like being like, you know what,

1251
01:03:50,680 --> 01:03:53,000
Speaker 3: sure if you're gonna hit us with this ridiculousness. Then

1252
01:03:54,320 --> 01:03:58,280
Speaker 3: I heard Tillie Norwood saying the unword actually, yeah, like.

1253
01:03:59,480 --> 01:04:01,440
Speaker 2: You should hear your reviews on pills.

1254
01:04:01,520 --> 01:04:08,320
Speaker 3: But she was actually she was actually you know the

1255
01:04:08,400 --> 01:04:12,040
Speaker 3: like Army Hammer cannibalism scandal, she was like also involved

1256
01:04:12,080 --> 01:04:14,720
Speaker 3: with that, Like she was like sitting round next to him, like.

1257
01:04:15,360 --> 01:04:18,080
Speaker 2: Truly, I don't know, that's what I'm saying. A. I

1258
01:04:18,120 --> 01:04:18,960
Speaker 2: couldn't do this.

1259
01:04:19,120 --> 01:04:21,840
Speaker 1: A I couldn't come up with that level of like

1260
01:04:22,720 --> 01:04:27,640
Speaker 1: intertextual response. You know, we we got to protect humanity.

1261
01:04:27,720 --> 01:04:31,320
Speaker 1: And I think I think that's really I think.

1262
01:04:31,200 --> 01:04:32,880
Speaker 2: There are, genuinely there.

1263
01:04:32,800 --> 01:04:35,480
Speaker 1: Are more people who who are interested in that than

1264
01:04:35,480 --> 01:04:37,640
Speaker 1: there are people who are interested in making a quick

1265
01:04:37,680 --> 01:04:38,360
Speaker 1: buck off of it.

1266
01:04:38,720 --> 01:04:40,360
Speaker 2: You know, the Sora saying.

1267
01:04:40,200 --> 01:04:44,120
Speaker 1: Watching all these tech bros convince themselves that videos that

1268
01:04:44,240 --> 01:04:48,760
Speaker 1: Sora came up with were visionary, and it's like, it's

1269
01:04:48,760 --> 01:04:50,440
Speaker 1: if this is the kind of content you want, You're

1270
01:04:50,520 --> 01:04:51,200
Speaker 1: in the minority.

1271
01:04:51,280 --> 01:04:51,800
Speaker 2: I am sorry.

1272
01:04:51,800 --> 01:04:56,600
Speaker 1: People want good people want good stories, people want humanity,

1273
01:04:56,640 --> 01:05:00,000
Speaker 1: people want connection, people want real human experience. And if

1274
01:05:00,000 --> 01:05:02,920
Speaker 1: if you're someone who was satisfied with slop, that says

1275
01:05:02,960 --> 01:05:05,200
Speaker 1: more about you than it does about our society.

1276
01:05:05,240 --> 01:05:07,960
Speaker 3: I feel for real, I think that the friend things

1277
01:05:07,960 --> 01:05:11,280
Speaker 3: specifically and like that and the like people that are

1278
01:05:11,640 --> 01:05:16,840
Speaker 3: have AI partners that that it always does bring me

1279
01:05:16,880 --> 01:05:19,680
Speaker 3: back to the social network where like they're at Like

1280
01:05:19,720 --> 01:05:22,000
Speaker 3: the whole kind of point of that movie at the

1281
01:05:22,080 --> 01:05:25,960
Speaker 3: end is it's like it's this one like asshole loser

1282
01:05:26,400 --> 01:05:28,720
Speaker 3: who was unable to connect with people and he made

1283
01:05:28,760 --> 01:05:31,000
Speaker 3: it the rest of our fucking problem.

1284
01:05:31,120 --> 01:05:32,560
Speaker 2: Like that's the always I look to her. I'm like,

1285
01:05:32,560 --> 01:05:37,400
Speaker 2: it's people like fucking Mark Zuckerberg, which we've talked on

1286
01:05:37,400 --> 01:05:40,200
Speaker 2: the show before. I fucking love Jesse, I'm Eisenberg, love him.

1287
01:05:40,240 --> 01:05:43,680
Speaker 2: He's amazing. He plays that role so fucking good.

1288
01:05:45,080 --> 01:05:48,640
Speaker 8: Yeah, Like, I like he does such a good job

1289
01:05:48,760 --> 01:05:52,920
Speaker 8: just like like embodying the type of person that is

1290
01:05:52,960 --> 01:05:55,000
Speaker 8: like and this is the future and we're gonna like

1291
01:05:56,280 --> 01:05:58,120
Speaker 8: put it on the rest of y'all, and it's like

1292
01:05:58,120 --> 01:06:00,480
Speaker 8: it's up to us to say, fuck, no, that is

1293
01:06:00,480 --> 01:06:02,680
Speaker 8: a you problem.

1294
01:06:02,720 --> 01:06:05,280
Speaker 2: Sorry. I don't need an AI friend too.

1295
01:06:06,040 --> 01:06:08,240
Speaker 3: If I want to do something stupid, I text one

1296
01:06:08,280 --> 01:06:10,680
Speaker 3: of my roommates and I'm like, hey, should I do this?

1297
01:06:10,840 --> 01:06:15,640
Speaker 3: And they're like, you go, Bessy, well live your life,

1298
01:06:15,680 --> 01:06:17,720
Speaker 3: and I'm like sure. And then the next day I

1299
01:06:17,720 --> 01:06:19,520
Speaker 3: text them and I'm like, now I'm sad that I

1300
01:06:19,560 --> 01:06:22,200
Speaker 3: did that thing, and they're like, well, we're going to

1301
01:06:22,280 --> 01:06:24,360
Speaker 3: get a glass of wine and cry about it.

1302
01:06:24,440 --> 01:06:28,280
Speaker 2: And you know what, AI can never do that. AI

1303
01:06:28,400 --> 01:06:31,360
Speaker 2: will never replace you. Joey, thank you. Yes.

1304
01:06:31,400 --> 01:06:34,959
Speaker 1: Before we end, I just want to say we are

1305
01:06:35,000 --> 01:06:39,840
Speaker 1: planning on doing a mailbag episode where we answer whatever questions.

1306
01:06:39,960 --> 01:06:42,680
Speaker 2: What are the burning questions you all might have. Maybe

1307
01:06:42,680 --> 01:06:45,640
Speaker 2: you want to know something about the team.

1308
01:06:45,680 --> 01:06:48,240
Speaker 1: Maybe you want to know something about me or producer Mike,

1309
01:06:48,360 --> 01:06:51,080
Speaker 1: or producer Joey or producer Darry or producer Jonathan.

1310
01:06:51,280 --> 01:06:52,760
Speaker 2: You don't hear from them too much, but they are

1311
01:06:52,800 --> 01:06:55,840
Speaker 2: also about there. Maybe you have a question about one

1312
01:06:55,840 --> 01:06:58,520
Speaker 2: of our takes on a tech or culture issue. I

1313
01:06:58,520 --> 01:06:59,640
Speaker 2: don't care whatever it is.

1314
01:06:59,680 --> 01:07:02,600
Speaker 1: I just hate mail bag episodes where they're just reading

1315
01:07:02,680 --> 01:07:05,160
Speaker 1: random emails. So I'm asking if folks have questions or

1316
01:07:05,200 --> 01:07:07,600
Speaker 1: comments aren't really anything they want ran on the pod.

1317
01:07:08,160 --> 01:07:10,000
Speaker 2: Send us an email, hit us up. We will read

1318
01:07:10,000 --> 01:07:10,840
Speaker 2: it on the show.

1319
01:07:11,360 --> 01:07:13,880
Speaker 1: There was meant to be a deadline, but I've forgotten

1320
01:07:13,880 --> 01:07:18,120
Speaker 1: what it was. I want to say it was October ninth. Oh,

1321
01:07:18,160 --> 01:07:20,640
Speaker 1: that's soon October ninth. It's your deadline.

1322
01:07:21,000 --> 01:07:24,680
Speaker 2: Yeah, let's say the night is a soft deadline. But

1323
01:07:24,760 --> 01:07:28,840
Speaker 2: get them to us when you can. I hope people

1324
01:07:29,440 --> 01:07:30,720
Speaker 2: joe I feel like people don't.

1325
01:07:31,000 --> 01:07:33,320
Speaker 1: You are like a very interesting person, and I feel

1326
01:07:33,360 --> 01:07:36,080
Speaker 1: like I don't know how the shit you get up to.

1327
01:07:36,600 --> 01:07:38,520
Speaker 1: So if you have questions for Joey, Joey is a

1328
01:07:38,680 --> 01:07:39,840
Speaker 1: very fascinating person.

1329
01:07:40,520 --> 01:07:43,120
Speaker 2: Thank you. That's very kind of you for seant I try.

1330
01:07:44,320 --> 01:07:48,320
Speaker 3: I feel like as I'm on the producer side of

1331
01:07:48,320 --> 01:07:49,680
Speaker 3: a lot of iHeart things, so I feel like I

1332
01:07:49,720 --> 01:07:51,040
Speaker 3: just kind of like pop up every once in a

1333
01:07:51,120 --> 01:07:55,080
Speaker 3: while and I'm like killoa, it's me and then yay.

1334
01:07:55,440 --> 01:07:59,760
Speaker 2: So but yeah, I if people have questions, I love

1335
01:07:59,760 --> 01:08:07,600
Speaker 2: the time. Let's go. Well, Joey, where people can hear

1336
01:08:07,640 --> 01:08:08,960
Speaker 2: you on this podcast?

1337
01:08:08,960 --> 01:08:11,000
Speaker 1: People can hear you on stuff? Mom never told you?

1338
01:08:11,080 --> 01:08:12,440
Speaker 1: Where else are you around?

1339
01:08:13,320 --> 01:08:13,600
Speaker 2: Yes?

1340
01:08:14,680 --> 01:08:17,679
Speaker 3: I will be I have a couple upcoming stuff Mom

1341
01:08:17,760 --> 01:08:21,559
Speaker 3: never told you episodes TVD if you want to hear

1342
01:08:21,800 --> 01:08:25,000
Speaker 3: stuff that I do more on the behind the scenes side.

1343
01:08:26,240 --> 01:08:30,200
Speaker 3: I am a producer for our Outspoken network at iHeartMedia,

1344
01:08:30,240 --> 01:08:34,639
Speaker 3: which is our slider shows that highlights lgbt Q plus

1345
01:08:34,680 --> 01:08:40,679
Speaker 3: identities and stories and all that you can hear. First

1346
01:08:40,760 --> 01:08:43,160
Speaker 3: of all, if you're listening, you should vote for.

1347
01:08:43,680 --> 01:08:47,080
Speaker 2: Signal Awards or nominee nominee.

1348
01:08:47,200 --> 01:08:49,680
Speaker 1: When is the When is the I'm technically I was

1349
01:08:49,720 --> 01:08:52,080
Speaker 1: technically a judge for the Signal Words, So I don't think.

1350
01:08:51,920 --> 01:08:57,280
Speaker 2: That's a conflict of interest. No, I'm not saying anything. Yeah, yeah, Joey.

1351
01:08:57,800 --> 01:08:59,920
Speaker 2: Where can people vote for.

1352
01:09:01,520 --> 01:09:05,040
Speaker 1: After Lives as a Signal Award nominee?

1353
01:09:05,120 --> 01:09:06,160
Speaker 2: So if they wanted to.

1354
01:09:06,120 --> 01:09:08,559
Speaker 3: Do that, which they should, they should the Signal Awards.

1355
01:09:08,600 --> 01:09:11,559
Speaker 3: Their voting is open now. It's open till October ninth,

1356
01:09:12,040 --> 01:09:13,760
Speaker 3: So if you're listening to this when it comes out,

1357
01:09:13,760 --> 01:09:16,800
Speaker 3: you have that a week. There are actually two shows

1358
01:09:16,840 --> 01:09:18,880
Speaker 3: that I work on that have been nominated. One is Afterlives,

1359
01:09:19,000 --> 01:09:22,519
Speaker 3: which is a documentary show about marsh P. Johnson that

1360
01:09:22,720 --> 01:09:27,879
Speaker 3: was nominated for Best Limited Series in the LGBT two

1361
01:09:28,000 --> 01:09:31,280
Speaker 3: plus category, and then Also there's a show called BFF

1362
01:09:31,360 --> 01:09:33,759
Speaker 3: Black Fat Them that is also part of the Outspoken

1363
01:09:33,800 --> 01:09:38,439
Speaker 3: network that I work on, that was nominated for Best Show,

1364
01:09:38,640 --> 01:09:42,640
Speaker 3: so different category, best Show for lgbt Q plus all

1365
01:09:42,680 --> 01:09:47,600
Speaker 3: the things, and then also diversity, equity and inclusivity. I

1366
01:09:47,600 --> 01:09:49,800
Speaker 3: always want to say inequality, and I'm like, that doesn't

1367
01:09:49,800 --> 01:09:53,320
Speaker 3: make any fucking sense, So.

1368
01:09:55,120 --> 01:10:00,000
Speaker 6: Please go to the Signal Awards website. It is open

1369
01:10:00,120 --> 01:10:03,759
Speaker 6: and audience choice right now. So yeah, I would appreciate

1370
01:10:03,800 --> 01:10:05,719
Speaker 6: if y'all give us a vote there.

1371
01:10:07,600 --> 01:10:09,840
Speaker 3: I mean a lot also just kind of signals to

1372
01:10:10,040 --> 01:10:14,599
Speaker 3: iHeart and to you know, the podcast Gods that you

1373
01:10:14,800 --> 01:10:18,840
Speaker 3: want to see more content that highlights queer voices and

1374
01:10:18,920 --> 01:10:21,960
Speaker 3: queer voices of color, which is just like so so

1375
01:10:22,000 --> 01:10:25,080
Speaker 3: important right now because of all of the aforementioned things

1376
01:10:25,080 --> 01:10:26,040
Speaker 3: that we were talking about.

1377
01:10:26,080 --> 01:10:29,080
Speaker 2: But yeah, please vote for those Please check those shows out.

1378
01:10:30,520 --> 01:10:31,400
Speaker 2: But yeah you can.

1379
01:10:31,439 --> 01:10:34,280
Speaker 3: Also if you want to listen to The Two Outlaws,

1380
01:10:34,479 --> 01:10:39,920
Speaker 3: which is hosted by the iconic TS Madison Session another

1381
01:10:40,000 --> 01:10:42,599
Speaker 3: show that I work on, Please choke it out.

1382
01:10:42,640 --> 01:10:43,439
Speaker 2: Would appreciate it.

1383
01:10:44,360 --> 01:10:50,000
Speaker 1: Hardest working producer in Hollywood over here, oh yeah, and

1384
01:10:50,040 --> 01:10:50,839
Speaker 1: all in Brooklyn.

1385
01:10:52,439 --> 01:10:56,519
Speaker 3: The busiest somebody did this is a minor call it.

1386
01:10:56,600 --> 01:10:58,320
Speaker 3: I don't think this person listens to the show. I

1387
01:10:58,479 --> 01:11:00,559
Speaker 3: was on a date recently and somebody to tell me

1388
01:11:00,800 --> 01:11:02,800
Speaker 3: I said that I was a podcast producer and they

1389
01:11:02,800 --> 01:11:05,519
Speaker 3: were like, like, honestly, the first.

1390
01:11:05,360 --> 01:11:09,640
Speaker 2: Thing I thought it was Chadas and I was like, oh, hey, ideas.

1391
01:11:09,840 --> 01:11:13,360
Speaker 3: I was like, I haven't watched just like that, like

1392
01:11:13,400 --> 01:11:16,240
Speaker 3: I know, like I've watched in the city. And I

1393
01:11:16,280 --> 01:11:18,439
Speaker 3: was like, wait a minute, kady As is the fucking

1394
01:11:18,479 --> 01:11:19,320
Speaker 3: podcast producer?

1395
01:11:19,640 --> 01:11:22,120
Speaker 2: Are you kidding me? And they were like yeah, And

1396
01:11:22,200 --> 01:11:24,680
Speaker 2: I don't know that was that. That hurt. That hurt

1397
01:11:24,720 --> 01:11:25,040
Speaker 2: a lot.

1398
01:11:25,560 --> 01:11:29,760
Speaker 3: But you know, no hate s Sierra Ramirez like love

1399
01:11:29,760 --> 01:11:30,400
Speaker 3: what you're doing.

1400
01:11:31,720 --> 01:11:33,720
Speaker 2: But but but yeah, I don't know.

1401
01:11:34,400 --> 01:11:36,839
Speaker 3: It's it's rough out here as a as a queer,

1402
01:11:37,200 --> 01:11:40,960
Speaker 3: non binary podcast producer in Brooklyn, I guess I don't know.

1403
01:11:41,240 --> 01:11:43,080
Speaker 2: Yeah, Das making y'all look bad.

1404
01:11:45,640 --> 01:11:47,920
Speaker 1: Well, Joey, thank you so much for being here, and

1405
01:11:48,000 --> 01:11:49,960
Speaker 1: thanks to all of you for listening. I will see

1406
01:11:49,960 --> 01:11:59,080
Speaker 1: you on the internet. Got a story about an interesting

1407
01:11:59,120 --> 01:12:01,280
Speaker 1: thing in tech which want to say hi? You can

1408
01:12:01,360 --> 01:12:03,559
Speaker 1: reach us at Hello at tangody dot com. You can

1409
01:12:03,600 --> 01:12:06,520
Speaker 1: also find transcripts for today's episode at tengody dot com.

1410
01:12:06,680 --> 01:12:08,320
Speaker 1: There Are No Girls on the Internet was created by

1411
01:12:08,360 --> 01:12:11,360
Speaker 1: me Bridget Todd. It's a production of iHeartRadio and Unbossed

1412
01:12:11,360 --> 01:12:15,000
Speaker 1: Creative Jonathan Strickland is our executive producer. Tari Harrison is

1413
01:12:15,000 --> 01:12:18,639
Speaker 1: our producer and sound engineer. Michael Almado is our contributing producer.

1414
01:12:19,080 --> 01:12:21,519
Speaker 1: Edited by Joey Pat I'm your host.

1415
01:12:21,280 --> 01:12:21,880
Speaker 2: Bridget Todd.

1416
01:12:22,720 --> 01:12:24,479
Speaker 1: If you want to help us grow, rate and review

1417
01:12:24,520 --> 01:12:28,120
Speaker 1: us on Apple Podcasts. For more podcasts from iHeartRadio, check

1418
01:12:28,120 --> 01:12:30,479
Speaker 1: out the iHeartRadio app, Apple Podcasts, or wherever you get

1419
01:12:30,479 --> 01:12:36,120
Speaker 1: your podcasts.