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Speaker 1: Hello the Internet, and welcome to season two eighty six,

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Speaker 1: Episode three of Dely's Like Ice Day production of iHeartRadio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into America's shared consciousness. It is Wednesday, May tenth, twenty

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Speaker 1: twenty three.

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Speaker 2: Oh yeah, World Loopers Day, World Loops Day, National Lipid Day,

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Speaker 2: National third Shift Workers' Day, National Shrimp Day, National School

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Speaker 2: Nurse Day.

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Speaker 3: Oh shout out missus Lee, the school nurse who I'd always.

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Speaker 2: Pretend to have a headache just so I could go

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Speaker 2: there and then I could get like water, juice, just.

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Speaker 4: A little attention, a little TLC.

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Speaker 2: Yeah, yeah, I mean that's what the school nurse is for,

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Speaker 2: you know what I mean. They're kind of like, you're

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Speaker 2: like I don't want to do this right now. I

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Speaker 2: think I hit my head. And then they just give

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Speaker 2: you a bag of ice and then you would just

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Speaker 2: eat the ice bag.

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Speaker 4: Yeah, that would eat the ice bag.

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Speaker 2: Oh yeah, you would feign like an impact even though

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Speaker 2: like no, no, no, because I remember in the nurse's

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Speaker 2: office they had a big ice machine. So then if

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Speaker 2: like when kids bump their heads and stuff, they would

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Speaker 2: just take like a like a plastic bag, like baggy

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Speaker 2: give you a scoop of ice and then you put

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Speaker 2: that on your like boo boo. But really, when it

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Speaker 2: was hot in the valley, I would do that and

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Speaker 2: just eat like I would just let the bag mountain

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Speaker 2: and then just eat the leftover.

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Speaker 4: Water in the back.

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Speaker 3: Anyway, shout out school nurses. And also it's National.

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Speaker 4: Clean up your Room Day.

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Speaker 1: Clean up your damn room, kid, make your bed, clean

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Speaker 1: up your room.

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Speaker 3: Were you a big clean up your room kind of person?

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Speaker 4: Like, like was I told to clean up my room?

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Speaker 2: Were you? Were you good? Actually?

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Speaker 1: Were you a sloppy sloppy baby, big time sloppy boy,

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Speaker 1: big time sloppy jalopy on this side of yeah yeah

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Speaker 1: the cat so yeah, And then I.

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Speaker 4: Remained sloppy, like it's it's a battle for sure.

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Speaker 2: Parenthood has actually made me less sloppy.

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Speaker 4: Yeah, I mean it does by necessity, but right, but

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Speaker 4: I guess.

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Speaker 2: When you're already like at extreme sloppiness, just going a

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Speaker 2: few degrees back, you're still kind of in the sloppy category. Yeah.

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Speaker 1: I like to take my clothes off and just leave

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Speaker 1: them where they lay, like where I you know, took

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Speaker 1: them off in my closet.

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Speaker 2: Oh her majesty calls it the clothes pile. Got I

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Speaker 2: have by the bed because I can like just disrobe

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Speaker 2: in a very efficient way. And then I'm like, I

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Speaker 2: don't put my clothes away until the morning, and she's like,

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Speaker 2: she calls it the clopa. This is getting out of control.

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Speaker 1: C Yeah, Miles, your clopo's getting out of hand, man

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Speaker 1: infantilizing it even for me.

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Speaker 2: Thank you. All right.

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Speaker 1: Well, my name is Jack O'Brien aka Potatoes O'Brien, and

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Speaker 1: I'm thrilled to be joined as always buy my co host,

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Speaker 1: mister Miles Grass.

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Speaker 2: Miles Gray's enjoying what he's seeing from his la breakers,

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Speaker 2: really really liking it.

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Speaker 3: I'm just gonna say it lightly. It's nice to see.

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Speaker 2: Darvin Ham make adjustments that seem to be translating in

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Speaker 2: the game. Shout out Lonnie Walker, the.

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Speaker 1: Fourth Lonnie Walker, the fourth baby lone he Walker. Yeah,

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Speaker 1: the fourth, Uh just came in microwave of and can

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Speaker 1: we can we give it to another I mean, most

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Speaker 1: of NBA fans today don't know about Vinnie Johnson being

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Speaker 1: the microwave of him.

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Speaker 4: Can we give that nickname to.

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Speaker 2: A new yeah?

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Speaker 4: Why not new player?

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Speaker 5: Ye?

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Speaker 4: But yeah, just stays wet. It's pretty cool.

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Speaker 2: He stays ready exactly.

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Speaker 1: Yeah. Yeah, well Miles, we're thrilled to be joined by

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Speaker 1: a rights activist and award winning podcast host and producer

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Speaker 1: of the weekly podcast Immigrantly. Yeah, Sadia, what's up, Sadia?

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Speaker 4: How are you hello?

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Speaker 5: With a few I am really excited to be here,

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Speaker 5: and I was just listening to your conversation back and

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Speaker 5: forth Planter, and I'm really enjoying it.

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Speaker 2: Well, thank you so much. Okay, I like a compliment

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Speaker 2: to begin.

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Speaker 4: It makes one of you, you know.

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Speaker 5: That's although I will say this, I did not get

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Speaker 5: a few references because I did not grow up here,

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Speaker 5: so a lot of stuff that you were talking about,

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Speaker 5: at least some of it was a bit unknown alien

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Speaker 5: to me.

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Speaker 2: But I enjoyed it. Okay, what can I what like?

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Speaker 2: What was it?

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Speaker 3: Was it the school nurse thing to start off with?

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Speaker 5: No, the school nurse thing I could understand because I

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Speaker 5: have kids, so I've had those conversations with.

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Speaker 2: That.

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Speaker 5: But in terms of you know, Elie Lakers, I'm not

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Speaker 5: into sports, not at East American sports. I am a

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Speaker 5: huge fan of cricket, okay, which I grew up watching,

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Speaker 5: which was a lot of fun.

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Speaker 2: So yeah, test cricket one day, both yeah, okay, Okay.

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Speaker 2: Whenever enough people on the Internet are talking about cricket,

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Speaker 2: I sometimes check out the highlights because it's like one

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Speaker 2: of those sports that I actually have watched a lot

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Speaker 2: of but don't know the rules, because like it's close

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Speaker 2: enough to baseball where I'm like, oh, I'm like, you

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Speaker 2: hit that wicket though I know that's good, and I'm

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Speaker 2: like I'm like, oh hit for six.

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Speaker 3: I'm like yeah, okay, I know all these other things.

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Speaker 3: But yeah, love love cricket. Where are you coming to

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Speaker 3: us from now?

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Speaker 5: New York? I like to think New York, but I

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Speaker 5: am based. I live in suburbs of New York.

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Speaker 4: Okay.

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Speaker 5: I go to New York City a lot for recording

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Speaker 5: and stuff. But to day I'm recording from my home.

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Speaker 2: Love love that.

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Speaker 1: We'll allow it, you know. You can still you're from

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Speaker 1: New York, big city of dreams.

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Speaker 5: Yeah?

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Speaker 3: Yeah, how long have you been in New York?

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Speaker 5: Years?

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Speaker 2: Okay?

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Speaker 4: Yeah? Is it true that everything in New York is

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Speaker 4: not always what it seems? Sorry?

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Speaker 1: This is a reference to an old rap lyric that

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Speaker 1: was like very popular.

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Speaker 4: I'm sorry, Well it was on the West Coast.

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Speaker 2: The dog pound is very popular in the West Coast.

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Speaker 1: So it is what it seems just a confirm important question.

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Speaker 5: Yeah, I mean for me, if you ask me, it

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Speaker 5: reminds me of Lahore. I grew up in Lahore, which

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Speaker 5: is a metropolitan city in Pakistan, and people are nice

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Speaker 5: but yeah, blunt, and they they are very honest about everything.

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Speaker 5: So I feel like New Yorkers. I like that they

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Speaker 5: don't pretend to be anybody else, right, And that's what

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Speaker 5: I love about New York.

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Speaker 2: Is there like an inverse of like Lahore in Pakistan?

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Speaker 2: Like is like in America will say New Yorkers are

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Speaker 2: not nice but kind and people that live in la

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Speaker 2: are nice but not kind.

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Speaker 5: Oh in Pakistan Nope, okay.

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Speaker 2: So is everybody is that kind of like just the

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Speaker 2: general vibe. It's like, yeah, we're blunt, but at the

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Speaker 2: end of the day, we're kind.

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Speaker 5: That's the gentle vibe. We are kind but blunt.

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Speaker 4: Yeah.

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Speaker 2: I like that. I like that.

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Speaker 4: Well, we are going to get to know you a

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Speaker 4: little bit better in a moment.

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Speaker 1: First, we're going to tell our listeners a couple of

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Speaker 1: the things that we're talking about. Elon Musk is on

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Speaker 1: some white supremacist shit, big time, more overt than usual,

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Speaker 1: I guessyday on Twitter. So we're going to talk about

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Speaker 1: his response to the Dallas Nazi mass shooter and just

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Speaker 1: generally his like he's retweeting a bunch of misleading races bullshit.

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Speaker 1: So we'll go through some of of his tweets and

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Speaker 1: kind of tying into the Elon Musk story in a

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Speaker 1: weird way, We're going to talk about TikTok's worst detective

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Speaker 1: who is currently off the case, but he claimed that

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Speaker 1: there was this conspiracy of like a secret serial killer

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Speaker 1: that was drowning drunk people walking home from bart It's

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Speaker 1: very strange. Anyways, all that plenty more, But first, Sadia,

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Speaker 1: we like to ask our guest, what is something from

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Speaker 1: your search history?

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Speaker 5: So I recently searched how to water indoor orchids And

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Speaker 5: the backstory is a friend of mine gave me orchid

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Speaker 5: as a gift, and I was like, oh, I'm going

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Speaker 5: to take care of this plant because I'm not big

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Speaker 5: on taking care of plants. I've never done that in

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Speaker 5: the past, and I was really excited, and I did

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Speaker 5: not google how to water it properly, so I just

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Speaker 5: let it be and I was either watching it every day,

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Speaker 5: or watching it at night, or watching it with cold water,

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Speaker 5: and I don't know what I was doing. But in

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Speaker 5: the end, unfortunately the plant died, and because of its

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Speaker 5: untimely demise, I was just shock. I was so sad.

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Speaker 5: I you know, the American in me was feeling so

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Speaker 5: bad because you know the usual joke about Americans taking

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Speaker 5: care of or being more concerned about plants and animals than.

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Speaker 2: Humans like them.

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Speaker 5: Yeah, said, I was really sad. And I was like, Okay,

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Speaker 5: I'm going to go and buy an orchid. And I

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Speaker 5: did that, and now I'm doing a whole Google search

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Speaker 5: about how to take care of an orchid and I've

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Speaker 5: been doing that for a couple of days. And I hope,

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Speaker 5: I'm really hoping and paying this orchid will not die

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Speaker 5: on me.

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Speaker 1: Yeah. Yeah, some orchid stores in LA that have my

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Speaker 1: picture up, uh, because I spent a number of years

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Speaker 1: as an orchid serial killer. Like I just could not

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Speaker 1: keep those things alive for the life of me.

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Speaker 2: It's so funny. My mother loves orchids so like I'll

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Speaker 2: always get her orchids like for her, like because she

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Speaker 2: loves them. But she's also like you know, like when

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Speaker 2: the blue after the bloom, a lot of people are like, oh,

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Speaker 2: it's dead, and like they'll just be like I don't

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Speaker 2: know what to do with this. And my mom she'll

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Speaker 2: be like give me that. Like she's like I will

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Speaker 2: take them and I will get I will bring them

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Speaker 2: back to bloom life. And she has like in her

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Speaker 2: yeah yeah, in her like living room, she has like

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Speaker 2: this window where she has like about maybe ten orchids

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Speaker 2: in different state of bloom that she just like always

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Speaker 2: kind of takes care of. So I love hearing about orchids,

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Speaker 2: like talking about orchids. But yeah, the watering is like

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Speaker 2: super key because like, yeah, it's really easy.

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Speaker 5: Over the bring they bring good luck. They bring good

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Speaker 5: luck to you, right, That's what That's what I'm hoping for.

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Speaker 2: Yeah, we need we could use some of that.

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Speaker 1: I feel like it's one of the higher difficulty, Like

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Speaker 1: it's you know, what you should do once you get

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Speaker 1: really good at caring for other plants in my case,

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Speaker 1: or what I should have done after the major Yeah,

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Speaker 1: that's the majors. And I just stepped right in and

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Speaker 1: was like, don't don't dead again. This one too, that one.

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Speaker 4: Yeah. So but my wife liked orchids, so what was

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Speaker 4: I gonna do? You know, hey, just.

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Speaker 3: Take care of them. They just need a little bit

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Speaker 3: of light.

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Speaker 2: Don't put them in direct sunlight, but make sure they

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Speaker 2: get good light and just give it a little bit

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Speaker 2: of water. You want to clip the little new growth

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Speaker 2: like closer to that. There's like there's a few tips

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Speaker 2: you can do and with a little bit of patience.

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Speaker 2: It's I think that's one of the most satisfying things

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Speaker 2: is watching like an orchid rebloom and you're like, oh, yeah,

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Speaker 2: do your thing, orkid.

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Speaker 1: I'd given you up for dead. What is what something

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Speaker 1: you think is overrated?

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Speaker 5: The British monarchy tell ya what not?

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Speaker 4: On this podcast. We are a monarchist. We are royal watchers.

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Speaker 2: We love them King Chuck aye ai I as we

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Speaker 2: call him.

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Speaker 4: Yeah.

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Speaker 2: Yeah.

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Speaker 5: The interesting thing is, and I'm asking both of you

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Speaker 5: this because I'm confused. As far as I know, America

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Speaker 5: fought a bloody war to separate itself from the British monarchy.

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Speaker 5: But American media, American public is obsessed, obsessed. Yeah, and

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Speaker 5: I don't get it why because honestly, I mean, monarchy

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Speaker 5: is what racism on steroids? And you are still so intrigued.

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Speaker 1: By it, right, you just answered your own question. And

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Speaker 1: racism on steroids and out in the open and with

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Speaker 1: fancy stuff. Racism loves money and you know.

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Speaker 2: Loves yeah, and loves like just terribly concentrated power in

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Speaker 2: the hands of a very interesting looking group of people.

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Speaker 1: Billionaires they love, billionaires who didn't do shit to get

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Speaker 1: their money and just pretending that they did.

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Speaker 4: So it kind of fits.

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Speaker 5: But yeah, I oh, okay, it's all coming together, I think.

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Speaker 2: Yeah. And also there's like just this romanticism I think of,

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Speaker 2: like just being like, oh, like like Americans feel like

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Speaker 2: that's the fancy for like something. I don't know. There's

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Speaker 2: like an aspirational aspect to it, I think too, in

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Speaker 2: this weird way from like it's classy to think that

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Speaker 2: the king, like the monarchy is cool versus Joe Biden

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Speaker 2: or something. But yeah, it's to each their own, I mean,

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Speaker 2: I definitely.

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Speaker 5: I mean when I think of them, I think of

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Speaker 5: I don't know, lot, yeah, and people who invaded the

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Speaker 5: self content and basically took everything away. So I have

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Speaker 5: myl neal hangle. I can't get over that.

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Speaker 2: Oh yeah, no, I think most most American people, I mean,

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Speaker 2: I think, who are like savvy when it comes to history,

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Speaker 2: Like yeah, I mean like I mean, if anything, they

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Speaker 2: taught us how to be the empire we are today

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Speaker 2: in the United States, and we just iterated on what

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Speaker 2: we learned from the English. I guess, but yeah, it's

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Speaker 2: do you think.

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Speaker 5: That's a good thing?

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Speaker 2: No, I think is that a good thing? Not at all.

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Speaker 2: It's the worst fucking thing ever. And I think it's

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Speaker 2: only I look at we were saying yesterday when we

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Speaker 2: looked at a picture of Charles during the coronation, I'm like,

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Speaker 2: if you could like assign like a human scream value

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Speaker 2: to each jewel and piece of gold or.

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Speaker 3: Fur that adorned his body, how many screams worth of

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Speaker 3: shit was he wearing? Because it has to be in

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Speaker 3: like the trillions.

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Speaker 4: That's what gives him the power though, And.

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Speaker 2: I think I think, like for me, that's when I

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Speaker 2: look at those things, all I see is pain, Like

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Speaker 2: I'm like, this is it's like you mind that gold

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Speaker 2: or those emeralds or things like that. It's still and

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Speaker 2: in fact, how many like former colonies are like we

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Speaker 2: want our ship back.

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Speaker 4: Yeah, but we do give us back.

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Speaker 1: Yeah exactly, it's still Yeah, he does make it all

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Speaker 1: look a few clicks more ridiculous than any king that

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Speaker 1: I've witnessed before. I haven't witnessed that many kings, but

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Speaker 1: like he puts the lie to the whole thing and

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Speaker 1: like just makes the monarchy look bad. So I will say,

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Speaker 1: in that respect, I'm glad that he's the king because

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Speaker 1: he just is like this palladi old man who's just

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Speaker 1: like I want.

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Speaker 2: It blasted pen.

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Speaker 5: Yeah, but I do see this narrative about good monarchs

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Speaker 5: and bad monarchs, and I really don't buy it, because

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Speaker 5: anybody who's benefiting from the institution itself is part of

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Speaker 5: perpetual eating that you know, harmful, bad So I don't

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Speaker 5: give a fuck if it's like a good monarch or

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Speaker 5: bad monarch. They're all monarchs and they are benefiting from it.

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Speaker 5: I mean Prince Harry, good for him. I mean I

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Speaker 5: do feel bad for him in some ways, but to

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Speaker 5: be honest, heartache, I don't feel bad for them either.

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Speaker 2: No, he's doing all right. He's got that monarch guilt

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Speaker 2: creeping in. But you know, it's like the same way

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Speaker 2: of like you can't be a US president and not

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Speaker 2: be a war criminal, right, you know what I mean?

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Speaker 2: And it's at the end of the day, we're like,

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Speaker 2: oh what about him? Like no, also war criminal? Actually yeah, loo,

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Speaker 2: look up what was done under their command? No one

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Speaker 2: gets out of here scot free.

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Speaker 4: What is something you think is underrated? Sadia?

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Speaker 5: Non European English accents?

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Speaker 4: Okay.

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Speaker 5: I see a lot of people, again Americans obsessing over

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Speaker 5: British accent and French accent and German accents, but when

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Speaker 5: it comes to non European accents, they are pretty mean,

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Speaker 5: So I would say they are underrated. App Absolutely, I

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Speaker 5: love my accent. I think it's so good.

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Speaker 4: So yeah, yeah, as well you should. It's a great accent.

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Speaker 2: Yeah, it's I think it's like so much of it too.

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Speaker 2: Like again, there's like this thing of from media where

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Speaker 2: they're like, oh an English, Like Americans are so easily

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Speaker 2: fooled by an English accent. It's kind of creepy. Yeah,

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Speaker 2: you know, like you could grift so hard on an

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Speaker 2: English accent, like if you were just talking like American people.

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Speaker 2: Like there's a guy who I saw coaching youth soccer

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Speaker 2: at a local park. I'm pretty sure this dude is

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Speaker 2: not English because his accent. Like I watch a lot

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Speaker 2: of English programming I love the Premier League. I watch

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Speaker 2: a lot of English media. His accent sounds like an America, Like,

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Speaker 2: it sounds like me fucking around pretending to be English.

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Speaker 2: And but I know this guy's charging parents through the

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Speaker 2: fucking teeth to be like their footy coach.

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Speaker 3: And I'm like, I think this guy's got the grift.

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Speaker 2: Man. He's just out here doing a bit of like,

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Speaker 2: you know, he watched a couple episodes at east Enders

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Speaker 2: and now he's out there, you know, grifting on that.

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Speaker 5: You know, what's interesting to me is that accents are

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Speaker 5: not universal. So there are multiple English accents as well, right,

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Speaker 5: so it's not like just one English accent or one

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Speaker 5: French accent or one somebody wants asked me if my

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Speaker 5: accent was Pakistani accent, and I was like, how do

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Speaker 5: you define Pakistani accent? There are multiple accents within Pakistan,

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Speaker 5: especially people who speak English, which by the way, is

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Speaker 5: our colonizers language. And it's fine, I mean, I've learned it,

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Speaker 5: but at the end of the day, it's like, how

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Speaker 5: do you define a universal accent? People in America have

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Speaker 5: so many different accents. Oh yeah, New Yorkers, you know,

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Speaker 5: Long people living in Long Island have a.

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Speaker 2: Completely different as state obsession.

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Speaker 5: Yeah, this obsession with accent, certain accents, and this hierarchy

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Speaker 5: which exists really bothers me because it really impacts people

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Speaker 5: in ways that a lot of people don't recognize. And so, yeah,

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Speaker 5: own your accents. You are wherever you are.

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Speaker 1: The way to center yourself to just like in a way,

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Speaker 1: just be like I am the center of the universe.

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Speaker 1: Because everyone normally speak the way I do has an accent,

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Speaker 1: and it's like, well, you can't hear your accent. You

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Speaker 1: can't hear your parents' accent.

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Speaker 2: I can hear my accent. Man, they give me some

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Speaker 2: water water, Yeah, give me some water rice.

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Speaker 5: There's so many immigrants who are really traumatized by how

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Speaker 5: people view their accents and they are almost scared to

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Speaker 5: speak up because it's like, oh my gosh, people don't

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Speaker 5: understand me or they can't comprehend me. So yeah, something

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Speaker 5: that people really don't think about when they are conversing

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Speaker 5: with others.

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Speaker 2: Yeah, it's where my mom's from Japan, and she first

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Speaker 2: immigrated to England when she was like twenty years old,

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Speaker 2: so she learned to really speak English in England. So

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Speaker 2: she has this like hybridized Japanese like quasi English accent,

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Speaker 2: and when she came to the US, people were so

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Speaker 2: confounded by like how she spoke.

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Speaker 3: They were like, what are you from?

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Speaker 2: Is? What country is that? And she's like, I'm Japanese,

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Speaker 2: Like but your accent. It's like, well, I just came

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Speaker 2: from England. It's like yeah, but it's like as if

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Speaker 2: there's like another shoe that has to drop because you

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Speaker 2: can't wrap your head around a human being just moving

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Speaker 2: from place to place and picking up language skills in

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Speaker 2: a way that isn't again, like congruent to yours. Yeah,

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Speaker 2: I definitely feel.

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Speaker 4: Too many categories coming at my brain.

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Speaker 2: It's Japanese but English no, Wow. Yeah, I mean, at

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Speaker 2: the end of the day, it's just I think it's

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Speaker 2: it's for people who care enough, it's how they determine,

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Speaker 2: like how much someone is assimilated based on like their accent.

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Speaker 2: And then if you have that kind of xenophobic worldview,

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Speaker 2: then yeah, I guess that's your terrible cross to bear.

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Speaker 1: All right, let's take a quick break and we will

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Speaker 1: be right back with some news. And we're back, and

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Speaker 1: there's been a lot of crimes that have happened in

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Speaker 1: the past week. You know, Jordan Neely was murdered by

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Speaker 1: a white man and then a mass shooter who was

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Speaker 1: an avowed Nazi with like Nazi tattoosh went on a

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Speaker 1: killing spree in Dallas, and the right has chosen to

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Speaker 1: like greet this by saying that it's like unfair that

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Speaker 1: we're talking about it when it happens.

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Speaker 2: Oh, it's just like this really terribly bad faith argument

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Speaker 2: that they're saying, Like the Libs are reaching by saying

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Speaker 2: the Dallas shooter was a Nazi. That's just that's just

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Speaker 2: what they say about everyone. Oh my god, everyone's a Nazi.

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Speaker 2: That's just what they say about everyone. But like, sadly,

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Speaker 2: even the most casual look at this person's social media

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Speaker 2: would confirm that he was in fact a white supremacist

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Speaker 2: like hyl Hitler ing neo Nazi, and even made a

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Speaker 2: post where he was explaining his own beliefs despite his

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Speaker 2: perceived ethnic identity, because many people were like, there's no

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Speaker 2: way someone with a Hispanic last name could be a

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Speaker 2: white supremacist. What are you guys going on about. That's impossible.

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Speaker 2: You have to be white to be a white supremacist.

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Speaker 2: And I just I'll throw some names out for people

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Speaker 2: who are up on you know, the really gross figures

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Speaker 2: on the right. How about Enrique Tario to have a

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Speaker 2: proud voice. Okay, he's a Cuban American, but he's also

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Speaker 2: a white supremacist. He also have Nick Fuentes, who's also

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Speaker 2: has met up with Donald Trump many times and was

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Speaker 2: courting Kanye West and just like the grossest parts of

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Speaker 2: the internet, white supremacist. So just it does it does

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Speaker 2: my head in Okay, as the English say, because first

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Speaker 2: of all, whiteness is a fucking social construct that has

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Speaker 2: shifted over centuries, you know, like you can even look

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Speaker 2: at there was a thread from this professor I want

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Speaker 2: Kathleen Belou who even pointed out, like how much the

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Speaker 2: race box on the US Census has like shifted over time,

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Speaker 2: and how like it's not just white or whatever. If

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Speaker 2: you go back to nineteen ten, it's just saying like

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Speaker 2: color or race was the box it said, there were

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Speaker 2: no other categories, or even the eight ninety it says

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Speaker 2: whether white, black, mulatto, quadroon, octoroon. We don't use these

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Speaker 2: terms as all. Yeah, Chinese Japanese are Indian, and overtime

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Speaker 2: these things shift and so to this idea of like

438
00:21:13,920 --> 00:21:16,399
Speaker 2: because this person isn't a like I guess, you know,

439
00:21:16,480 --> 00:21:19,400
Speaker 2: the Aryan type of variety of white person is. Maybe

440
00:21:19,400 --> 00:21:21,359
Speaker 2: what they're thinking has to that's the standard to be

441
00:21:21,359 --> 00:21:24,720
Speaker 2: a quote unquote white supremacist. They're completely missing the point.

442
00:21:24,960 --> 00:21:27,800
Speaker 2: And I think because most Americans would most likely look

443
00:21:27,840 --> 00:21:30,560
Speaker 2: at this to a like black or brown versus white lens,

444
00:21:31,320 --> 00:21:34,880
Speaker 2: whereas like places in South America have very different ideas

445
00:21:34,960 --> 00:21:37,679
Speaker 2: of what whiteness is or who a person of color is.

446
00:21:37,840 --> 00:21:40,040
Speaker 2: It's like, are the white people those that descend from

447
00:21:40,080 --> 00:21:43,320
Speaker 2: the Iberians that colonize the land, and the people of

448
00:21:43,359 --> 00:21:46,240
Speaker 2: color the indigenous And that's how they began to you know,

449
00:21:46,400 --> 00:21:48,800
Speaker 2: separate like on those kinds of racial lines of class,

450
00:21:48,800 --> 00:21:51,240
Speaker 2: et cetera. And again, you look in Texas and the

451
00:21:51,280 --> 00:21:53,280
Speaker 2: Southwest and general the United States, you have a lot

452
00:21:53,320 --> 00:21:56,600
Speaker 2: of people who have last names that are Hispanic, who

453
00:21:56,960 --> 00:22:00,480
Speaker 2: might not see themselves as people of color, and some

454
00:22:00,600 --> 00:22:03,919
Speaker 2: might see themselves as just downright Nazis. So at the

455
00:22:04,000 --> 00:22:07,080
Speaker 2: end of the day, the ideology kind of like in

456
00:22:07,080 --> 00:22:09,639
Speaker 2: its current state isn't based on the purest sense of

457
00:22:09,640 --> 00:22:13,840
Speaker 2: like Aryan supremacy that they're thinking of like Hitler's master

458
00:22:14,000 --> 00:22:16,320
Speaker 2: race kind of thing. But it's just a it attracts

459
00:22:16,320 --> 00:22:20,480
Speaker 2: people because it's a violent system of power that targets women, Jews,

460
00:22:20,920 --> 00:22:25,080
Speaker 2: trans people, Muslims, whoever who is not outside of like

461
00:22:25,200 --> 00:22:28,919
Speaker 2: the deemed hegemonic class or whatever. And you know, the

462
00:22:29,000 --> 00:22:32,000
Speaker 2: murderer's post confirm all of this, like he was aligned

463
00:22:32,000 --> 00:22:33,960
Speaker 2: with all of these beliefs, and his.

464
00:22:34,000 --> 00:22:39,000
Speaker 5: White supremacy is on full display through his stattooes. So

465
00:22:39,080 --> 00:22:42,000
Speaker 5: I was like, yeah, what the heck, Like you could

466
00:22:42,280 --> 00:22:46,879
Speaker 5: tell that this guy is hardcore white supremacist. And you're

467
00:22:46,920 --> 00:22:51,880
Speaker 5: absolutely right about this ideology being internalized by other races

468
00:22:51,920 --> 00:22:55,159
Speaker 5: as well, especially in America, because it lends itself to

469
00:22:55,680 --> 00:23:01,480
Speaker 5: approximation to whiteness and where you stand in this society

470
00:23:01,520 --> 00:23:04,720
Speaker 5: because America is obsessed obsessed with race.

471
00:23:05,240 --> 00:23:07,960
Speaker 4: Yeah right, but won't admit it to themselves.

472
00:23:08,760 --> 00:23:11,399
Speaker 2: Yeah, yeah, of course. Oh we're past that, We're past that.

473
00:23:11,720 --> 00:23:14,159
Speaker 1: But it is wild to see because it's just that

474
00:23:14,400 --> 00:23:17,800
Speaker 1: they are just telling on themselves that they think of

475
00:23:17,920 --> 00:23:21,840
Speaker 1: race as a genetic like differentiator and not a social

476
00:23:21,880 --> 00:23:26,520
Speaker 1: construct used to discriminate and economically exploit people, Like they

477
00:23:26,560 --> 00:23:29,520
Speaker 1: are like, well, he has a last name and because

478
00:23:29,560 --> 00:23:32,120
Speaker 1: of the one drop rule that we all adopted after

479
00:23:32,160 --> 00:23:32,680
Speaker 1: the Civil War.

480
00:23:32,720 --> 00:23:34,160
Speaker 4: Wait, we didn't all adopt that.

481
00:23:34,160 --> 00:23:37,120
Speaker 1: That was just me and the people in the back

482
00:23:37,200 --> 00:23:39,960
Speaker 1: room where I make the decisions about the society.

483
00:23:40,960 --> 00:23:42,920
Speaker 4: Right, it's fucking wild.

484
00:23:42,760 --> 00:23:45,159
Speaker 2: To your point, Sidy about for all of those who

485
00:23:45,160 --> 00:23:47,280
Speaker 2: are like, I don't know if he's a Nazi. He

486
00:23:47,359 --> 00:23:52,280
Speaker 2: couldn't have more Nazi tattoos if you'd even tried. I

487
00:23:52,280 --> 00:23:54,600
Speaker 2: guess he could have had mind komp tatted in its

488
00:23:54,760 --> 00:23:58,760
Speaker 2: entirety on his body. But ss bolts and a swastika,

489
00:23:59,440 --> 00:24:01,840
Speaker 2: there's no there's no ambiguity about it. And again this

490
00:24:01,960 --> 00:24:05,320
Speaker 2: is just their bad faith argument because they can't really

491
00:24:05,960 --> 00:24:08,560
Speaker 2: argue anything on the merits because it's all about obscuring

492
00:24:08,640 --> 00:24:12,199
Speaker 2: the existence of this, like the the heavy hand of

493
00:24:12,240 --> 00:24:15,359
Speaker 2: white supremacy that looms over everything in this country. It's like, no, no,

494
00:24:15,359 --> 00:24:17,520
Speaker 2: that's not happens, doesn't exist. So you were saying, how

495
00:24:17,520 --> 00:24:20,639
Speaker 2: this ideology even attracts people of other races and cultures,

496
00:24:21,000 --> 00:24:23,080
Speaker 2: you know, he posted a meme that basically said, like

497
00:24:23,119 --> 00:24:25,439
Speaker 2: when you're Hispanic, like, it's like a fork in the

498
00:24:25,560 --> 00:24:28,520
Speaker 2: road and on one side it says act black and

499
00:24:28,600 --> 00:24:31,639
Speaker 2: the other said, become a white supremacist, And that just

500
00:24:31,720 --> 00:24:34,359
Speaker 2: kind of shows you what his entire worldview is of

501
00:24:34,400 --> 00:24:37,600
Speaker 2: what your perceived options are, if there's even such an

502
00:24:37,600 --> 00:24:40,119
Speaker 2: idea of options for how you live your life. But

503
00:24:40,200 --> 00:24:43,800
Speaker 2: that was his very specific worldview that was that was

504
00:24:43,840 --> 00:24:46,520
Speaker 2: the shooter. That was the shooter. Yeah, post it, I.

505
00:24:46,520 --> 00:24:49,200
Speaker 1: Actually couldn't tell if that was the shooter or Elon Musk.

506
00:24:49,359 --> 00:24:51,960
Speaker 1: That's where we're at at this point.

507
00:24:52,119 --> 00:24:54,040
Speaker 3: No truly, and I mean he was also parrotying the

508
00:24:54,080 --> 00:24:54,600
Speaker 3: same thing.

509
00:24:54,720 --> 00:24:58,359
Speaker 2: It was like, well, I much like really but again, fine,

510
00:24:58,480 --> 00:25:00,440
Speaker 2: like this is this is why he bought the Way site,

511
00:25:00,640 --> 00:25:03,919
Speaker 2: to bring even more nonsense and misinformation to the masses

512
00:25:03,920 --> 00:25:04,720
Speaker 2: and normalize that.

513
00:25:05,119 --> 00:25:08,159
Speaker 1: It's really like getting to a point where it's systematic.

514
00:25:08,240 --> 00:25:12,720
Speaker 1: He's doing it frequently, constantly, and just in the most

515
00:25:12,760 --> 00:25:14,600
Speaker 1: bad faith way as possible. Yeah.

516
00:25:14,600 --> 00:25:16,840
Speaker 5: But what's worse is that a lot of people in

517
00:25:16,880 --> 00:25:20,120
Speaker 5: America will buy into those narratives, whether they're coming from

518
00:25:20,119 --> 00:25:26,080
Speaker 5: Republicans or Elon Musk. And that's more problematic than anything else. Right,

519
00:25:26,160 --> 00:25:28,560
Speaker 5: why are people buying into it yet? Because they want

520
00:25:28,600 --> 00:25:31,199
Speaker 5: to maintain their racial hierarchy. It's as simple as not.

521
00:25:31,280 --> 00:25:35,080
Speaker 5: There's nothing else to it, right, I mean, yeah, oversimplified.

522
00:25:35,119 --> 00:25:37,919
Speaker 5: But one of the major reasons why people are so

523
00:25:38,040 --> 00:25:40,720
Speaker 5: hung up on these narratives and they don't want to

524
00:25:40,800 --> 00:25:43,720
Speaker 5: let go is because they don't want to give up

525
00:25:43,720 --> 00:25:47,119
Speaker 5: on their racial hierarchy, whatever form it takes.

526
00:25:46,920 --> 00:25:48,879
Speaker 2: Right, right, Yeah, because it's like, well, at least I

527
00:25:48,960 --> 00:25:52,120
Speaker 2: have that I have no world yet in a world

528
00:25:52,160 --> 00:25:54,480
Speaker 2: of limited options, well, at least I have my whiteness,

529
00:25:54,600 --> 00:25:57,280
Speaker 2: and I can lord that over people and still feel

530
00:25:57,320 --> 00:26:00,320
Speaker 2: good about myself because I'm in the white head Chrischin

531
00:26:00,400 --> 00:26:02,919
Speaker 2: group or whatever it is. That's become very attractive to

532
00:26:02,960 --> 00:26:03,800
Speaker 2: these people. Recently.

533
00:26:03,840 --> 00:26:06,800
Speaker 1: Yeah, one of the things that Elon Musk retweeted was

534
00:26:06,880 --> 00:26:11,479
Speaker 1: this meme tweeted by end Wokeness at end Wokeness on

535
00:26:11,480 --> 00:26:15,399
Speaker 1: Twitter that was like a comparison of interracial violent crime

536
00:26:15,440 --> 00:26:20,680
Speaker 1: incidents twenty eighteen. And the statistics from this are completely

537
00:26:20,720 --> 00:26:25,719
Speaker 1: like they use a percentage and then like apply it

538
00:26:25,840 --> 00:26:28,879
Speaker 1: to the population and it's all sorts of fucked up.

539
00:26:28,880 --> 00:26:31,840
Speaker 2: And what we'll get into distrapolating like just based on

540
00:26:31,960 --> 00:26:34,879
Speaker 2: like the demography to be like that's actually that's actually

541
00:26:34,880 --> 00:26:39,159
Speaker 2: how overblown this is. If you actually do the demographic extrapolation, yes.

542
00:26:39,119 --> 00:26:41,480
Speaker 1: But like we'll get into debunking in a second, but

543
00:26:41,560 --> 00:26:43,679
Speaker 1: it's just wild that we have the head of a

544
00:26:43,720 --> 00:26:49,560
Speaker 1: major communication platform like openly doing straight up white supremacists,

545
00:26:49,680 --> 00:26:52,720
Speaker 1: like openly white supremacist shit. It's like, you know, I

546
00:26:52,760 --> 00:26:55,040
Speaker 1: think when he bought Twitter, we were like, this is

547
00:26:55,680 --> 00:26:59,119
Speaker 1: like if Henry Ford bought like a major newspaper. But

548
00:26:59,160 --> 00:27:02,360
Speaker 1: it's like, you know, Henry Ford was putting the protocols

549
00:27:02,400 --> 00:27:05,159
Speaker 1: of the Elders of Zion and like the model t

550
00:27:05,720 --> 00:27:08,040
Speaker 1: glove compartment when he was selling that, Like this is

551
00:27:08,200 --> 00:27:13,280
Speaker 1: more insidious and just overt and damaging than that, like

552
00:27:13,320 --> 00:27:16,679
Speaker 1: the shit that he's doing. The like this meme is

553
00:27:16,720 --> 00:27:20,840
Speaker 1: obviously like reiterating the myth that the local news and

554
00:27:20,920 --> 00:27:25,600
Speaker 1: Fox News and even the supposedly centrist media tell people

555
00:27:25,640 --> 00:27:29,240
Speaker 1: every day that like using selection bias to tell people

556
00:27:29,280 --> 00:27:33,280
Speaker 1: that more crimes are committed by black people on white people,

557
00:27:33,840 --> 00:27:37,160
Speaker 1: and that like black on white crime is extremely common,

558
00:27:37,520 --> 00:27:40,119
Speaker 1: and that like white people should be afraid of black

559
00:27:40,160 --> 00:27:44,760
Speaker 1: people and they do that usually through selection bias, and

560
00:27:44,800 --> 00:27:48,480
Speaker 1: this uses like some bullshit math and also just like

561
00:27:48,520 --> 00:27:52,360
Speaker 1: a misunderstanding of the context of like what is a

562
00:27:52,560 --> 00:27:56,959
Speaker 1: crime is a crime an objective, an objective thing that

563
00:27:57,440 --> 00:28:01,600
Speaker 1: happens always, and that there is some objective system for determining.

564
00:28:01,880 --> 00:28:04,959
Speaker 1: But like, the big piece of missing context from this

565
00:28:05,240 --> 00:28:08,760
Speaker 1: is that they've applied a percentage to the population and

566
00:28:08,840 --> 00:28:13,679
Speaker 1: because white people are a larger part of the population,

567
00:28:14,320 --> 00:28:17,320
Speaker 1: they just have a higher number. And people were pointing

568
00:28:17,359 --> 00:28:20,080
Speaker 1: out if you add white on white crime, it dwarfs

569
00:28:20,160 --> 00:28:24,080
Speaker 1: everything else. It is by far the vast majority of

570
00:28:24,119 --> 00:28:27,159
Speaker 1: crimes in the United States, but they have omitted that

571
00:28:27,600 --> 00:28:30,120
Speaker 1: for right, very specific reasons.

572
00:28:30,480 --> 00:28:36,040
Speaker 5: This is a create example of how data is distorted

573
00:28:36,440 --> 00:28:40,640
Speaker 5: to perpetuate a narrative that already exists. And what's versus

574
00:28:40,680 --> 00:28:44,680
Speaker 5: people will again buy this, buy into it, and it

575
00:28:44,720 --> 00:28:49,720
Speaker 5: will resonate with people because it reinforces their ideas, whatever

576
00:28:49,760 --> 00:28:55,200
Speaker 5: their preconceived notions are about certain racial identities and ethnicities.

577
00:28:55,360 --> 00:28:59,440
Speaker 5: So it really reinforces what they already believe. And my

578
00:28:59,680 --> 00:29:04,960
Speaker 5: quest would be, how do we hold consumers off information accountable? Right, So,

579
00:29:05,000 --> 00:29:09,400
Speaker 5: how do we become intentional consumers of information and critical

580
00:29:09,440 --> 00:29:12,640
Speaker 5: thinkers whatever is presented to us, we don't have to

581
00:29:12,680 --> 00:29:16,040
Speaker 5: really internalize it, And how do we make that shift

582
00:29:16,080 --> 00:29:19,680
Speaker 5: in American society rather than saying, oh, you know Elon Musk, Yes,

583
00:29:19,720 --> 00:29:23,160
Speaker 5: he is tweeting because he's an ass, he's a racist,

584
00:29:24,080 --> 00:29:25,640
Speaker 5: but why are we buying into it?

585
00:29:26,600 --> 00:29:30,400
Speaker 4: Yeah, Like I feel like I agree with that.

586
00:29:30,480 --> 00:29:33,000
Speaker 1: I wish this was not as effective as it is

587
00:29:33,080 --> 00:29:36,040
Speaker 1: and has been for years with the way that like

588
00:29:36,680 --> 00:29:40,840
Speaker 1: you know, local news from every network and then like

589
00:29:40,960 --> 00:29:44,680
Speaker 1: national news from Fox News, like are constantly beating this drum.

590
00:29:44,760 --> 00:29:48,520
Speaker 1: Like I wish the people were kind of better consumers.

591
00:29:48,560 --> 00:29:51,680
Speaker 1: I also feel like the overton window on this has shifted,

592
00:29:51,760 --> 00:29:54,880
Speaker 1: and we have somebody who is like one of the

593
00:29:54,880 --> 00:29:59,520
Speaker 1: most famous people in the world just openly spewing white

594
00:29:59,560 --> 00:30:03,480
Speaker 1: suprema as lies, and people are just kind of taking

595
00:30:03,520 --> 00:30:05,959
Speaker 1: it for granted, like there's not a conversation about like

596
00:30:06,280 --> 00:30:08,680
Speaker 1: it should he be allowed to do?

597
00:30:08,800 --> 00:30:12,760
Speaker 2: Yeah, because also, like the media that we'd count on

598
00:30:12,840 --> 00:30:16,920
Speaker 2: to comment on this, they're completely unable to have this

599
00:30:17,040 --> 00:30:20,320
Speaker 2: kind of nuanced conversation. We saw that time after time.

600
00:30:20,360 --> 00:30:22,520
Speaker 2: We saw it in twenty twenty. It's like they just

601
00:30:22,880 --> 00:30:25,720
Speaker 2: they can't because to them, it's not like he's not

602
00:30:25,800 --> 00:30:29,480
Speaker 2: posting like a Sambo meme or like mammy type shit

603
00:30:29,600 --> 00:30:33,240
Speaker 2: like black caricatures, so that doesn't register as quote unquote racist,

604
00:30:33,800 --> 00:30:36,120
Speaker 2: and to this it's like, oh, it's it's just a

605
00:30:36,280 --> 00:30:41,440
Speaker 2: really it's it's it's it's an inaccurate statement and not understanding. Again,

606
00:30:41,480 --> 00:30:43,920
Speaker 2: this is why we have such trouble with even wrapping

607
00:30:43,920 --> 00:30:47,160
Speaker 2: our heads around like the concept of white supremacy, because

608
00:30:47,160 --> 00:30:49,120
Speaker 2: the media certainly doesn't know how to define it. They're

609
00:30:49,160 --> 00:30:50,920
Speaker 2: just like, oh, I think it's when it's a Nazi.

610
00:30:51,760 --> 00:30:54,280
Speaker 2: It's not like it's not our like these these like

611
00:30:54,400 --> 00:30:56,800
Speaker 2: these systems of power that exist within the country, and

612
00:30:56,800 --> 00:30:59,600
Speaker 2: we can't because you seldom do you hear them talking

613
00:30:59,600 --> 00:31:02,000
Speaker 2: about it in those terms unless they bring on like

614
00:31:02,040 --> 00:31:04,760
Speaker 2: a sociology professor or someone who's and it's just for

615
00:31:04,800 --> 00:31:06,480
Speaker 2: like three minutes and they.

616
00:31:06,320 --> 00:31:09,000
Speaker 3: Go, oh wow, that's a very interesting point.

617
00:31:09,080 --> 00:31:11,880
Speaker 2: All right, Moving on Elon Musk's new cards, like what

618
00:31:12,000 --> 00:31:15,040
Speaker 2: the fuck Like that's that's actually the conversation that needs

619
00:31:15,080 --> 00:31:17,760
Speaker 2: to be had. So it's like a failure on multiple levels.

620
00:31:17,800 --> 00:31:21,280
Speaker 5: I think, yeah, yeah, And what does Elon Musk represent,

621
00:31:21,480 --> 00:31:26,400
Speaker 5: right success, capitalism in whatever form people want to see.

622
00:31:26,440 --> 00:31:29,760
Speaker 5: So you rate going back to the point about how

623
00:31:29,840 --> 00:31:34,120
Speaker 5: Americans vieusit in personalities and individuals and how much they

624
00:31:34,160 --> 00:31:37,640
Speaker 5: believe in them because of what they've achieved again through

625
00:31:37,680 --> 00:31:42,720
Speaker 5: their success or career trajectory, it's difficult for people to

626
00:31:42,840 --> 00:31:46,080
Speaker 5: question that right, that authority in a way.

627
00:31:46,400 --> 00:31:49,960
Speaker 2: Yeah, exactly, because we've seeded, like you know, we've we

628
00:31:50,080 --> 00:31:52,640
Speaker 2: deify these billionaires, you know what I mean, Like, yeah,

629
00:31:52,640 --> 00:31:55,680
Speaker 2: there to the point where we have no ability to

630
00:31:55,680 --> 00:31:58,760
Speaker 2: critically analyze how they got there, the context in which

631
00:31:58,760 --> 00:32:01,480
Speaker 2: they became successful. Like no one talks about how Bill

632
00:32:01,520 --> 00:32:03,920
Speaker 2: Gates dad was able to get him in front of

633
00:32:03,920 --> 00:32:08,360
Speaker 2: a computer before any child basically in America. But it's like, man,

634
00:32:08,400 --> 00:32:12,120
Speaker 2: he's such a genius, Like no, it's fucking dad, Like uh,

635
00:32:12,200 --> 00:32:14,440
Speaker 2: it's every every person has this story. It's like how

636
00:32:14,480 --> 00:32:16,200
Speaker 2: did he do it? It's like, well, I don't know.

637
00:32:16,240 --> 00:32:18,840
Speaker 2: A fuck ton of money from their family.

638
00:32:19,680 --> 00:32:22,840
Speaker 1: And because of the way the American system is set up,

639
00:32:22,880 --> 00:32:25,560
Speaker 1: somebody is going to be that rich. Like, somebody is

640
00:32:25,600 --> 00:32:27,960
Speaker 1: going to be that rich, and it is usually going

641
00:32:28,000 --> 00:32:30,840
Speaker 1: to be the person with tons of advantages all along

642
00:32:30,920 --> 00:32:31,240
Speaker 1: the way.

643
00:32:31,680 --> 00:32:35,120
Speaker 2: Yeah. So yeah, I mean I think until like Americans,

644
00:32:35,320 --> 00:32:38,160
Speaker 2: like in mass can understand that like all of this

645
00:32:38,240 --> 00:32:40,920
Speaker 2: is a fucking illusion and it's merely meant to be.

646
00:32:41,000 --> 00:32:44,160
Speaker 2: This like really interesting carrot to dangle in front of

647
00:32:44,200 --> 00:32:46,400
Speaker 2: people so they can kind of just like accept their

648
00:32:46,440 --> 00:32:48,720
Speaker 2: lot in life and not really consider if there's more

649
00:32:48,760 --> 00:32:51,360
Speaker 2: that can be done or we deserve better. It's going

650
00:32:51,440 --> 00:32:53,280
Speaker 2: to be very difficult because everyone can kind of have

651
00:32:53,320 --> 00:32:55,680
Speaker 2: this thing of like, oh my god, I could be

652
00:32:55,760 --> 00:32:58,720
Speaker 2: like Elon with if I buy crypto and or fall

653
00:32:58,760 --> 00:33:03,080
Speaker 2: into some other fucking redatory industry that promises this kind

654
00:33:03,120 --> 00:33:07,960
Speaker 2: of like stratospheric upward social mobility. But at the end

655
00:33:07,960 --> 00:33:10,360
Speaker 2: of the day, you're just falling prey to the exact

656
00:33:10,360 --> 00:33:13,560
Speaker 2: same fucking grift, just in a new fucking you know,

657
00:33:13,720 --> 00:33:14,600
Speaker 2: new shiny coat.

658
00:33:14,760 --> 00:33:17,560
Speaker 1: Yeah. It's so dangerous because it ties directly into the

659
00:33:17,920 --> 00:33:21,640
Speaker 1: like one of the core American myths, which is that

660
00:33:21,760 --> 00:33:25,040
Speaker 1: it is a meritocracy, right, and so when this guy

661
00:33:25,080 --> 00:33:28,800
Speaker 1: who is the richest person on earth is spreading shit

662
00:33:29,000 --> 00:33:31,640
Speaker 1: like this, people have the implicit assumption, and I think

663
00:33:31,680 --> 00:33:34,040
Speaker 1: the media ties into this a lot that this guy

664
00:33:34,120 --> 00:33:36,920
Speaker 1: is smart and what he's saying, well, and this one

665
00:33:37,000 --> 00:33:39,800
Speaker 1: has statistics, so it has to be you know, good,

666
00:33:39,880 --> 00:33:43,000
Speaker 1: instead of just it's statistics.

667
00:33:42,240 --> 00:33:43,880
Speaker 4: Being used to lie.

668
00:33:44,480 --> 00:33:48,120
Speaker 1: It just feels like we are frogs in a gradually

669
00:33:48,160 --> 00:33:51,960
Speaker 1: boiling pot with this motherfucker, and the madness of what

670
00:33:52,000 --> 00:33:55,400
Speaker 1: we are seeing from him is pretty shocking and is

671
00:33:55,560 --> 00:33:58,040
Speaker 1: kind of just being excused the waint.

672
00:33:58,400 --> 00:33:59,960
Speaker 2: It's kind of like the same thing you will, like

673
00:34:00,080 --> 00:34:03,000
Speaker 2: Kanye West when he was saying all this anti Semitic nonsense,

674
00:34:03,040 --> 00:34:06,560
Speaker 2: Like the reporting on it just sends it just sends

675
00:34:06,560 --> 00:34:08,960
Speaker 2: it out further too. Yeah, and there's going to be

676
00:34:08,960 --> 00:34:10,760
Speaker 2: a lot of people been like, oh, what does Elon

677
00:34:10,880 --> 00:34:14,120
Speaker 2: Musk mean with this thing or like the latest Elon

678
00:34:14,239 --> 00:34:17,319
Speaker 2: Mutt And already you're already putting in front of more

679
00:34:17,360 --> 00:34:20,480
Speaker 2: people because of it. And it's hard to like because

680
00:34:20,520 --> 00:34:23,040
Speaker 2: we have this like we're all about outrage clicks in

681
00:34:23,080 --> 00:34:26,399
Speaker 2: the media, like and that helps engagement that like it's

682
00:34:26,440 --> 00:34:28,919
Speaker 2: just it really is this like snake eating its own

683
00:34:28,920 --> 00:34:31,600
Speaker 2: tail kind of thing where on one level you'd have

684
00:34:31,680 --> 00:34:33,480
Speaker 2: to be like, no, we're not talking about this because

685
00:34:33,520 --> 00:34:36,680
Speaker 2: this is non racist drivel, like this is a this

686
00:34:36,760 --> 00:34:39,920
Speaker 2: is not even worth your time to even tell you, like, well,

687
00:34:39,960 --> 00:34:42,360
Speaker 2: we might as well report on every ignorant thing that

688
00:34:42,440 --> 00:34:45,239
Speaker 2: every person says at that point, and just because of

689
00:34:45,280 --> 00:34:48,200
Speaker 2: this person's place, we're like, well, let's let's treat it

690
00:34:48,239 --> 00:34:50,200
Speaker 2: as something that should be talked about even if we

691
00:34:50,280 --> 00:34:53,000
Speaker 2: don't agree. And I think that already is a tremendous

692
00:34:53,000 --> 00:34:55,520
Speaker 2: disservice because for every person who can see that and

693
00:34:55,520 --> 00:34:58,240
Speaker 2: says this is fucking bullshit, like what is this nonsense,

694
00:34:58,400 --> 00:35:00,520
Speaker 2: there is going to be someone who's like, well, hold on,

695
00:35:01,080 --> 00:35:03,440
Speaker 2: I'm currently in a situation where, like I argue with

696
00:35:03,560 --> 00:35:07,399
Speaker 2: friends because of my limited worldview, and this helps reinforce that, Oh,

697
00:35:07,480 --> 00:35:10,359
Speaker 2: now I have something to go deeper into and go

698
00:35:10,480 --> 00:35:14,719
Speaker 2: further into, and that's the real danger. But this is

699
00:35:14,719 --> 00:35:16,640
Speaker 2: how it's playing out pretty consistently, we see.

700
00:35:16,880 --> 00:35:19,799
Speaker 1: Yeah, all right, let's take a quick break and we'll

701
00:35:19,800 --> 00:35:23,880
Speaker 1: come back and talk about some other stories, some TikTok

702
00:35:24,080 --> 00:35:39,200
Speaker 1: crime fighters, and we're back, and one of the most

703
00:35:39,280 --> 00:35:42,120
Speaker 1: dramatic stories playing out on the Internet this month involves

704
00:35:42,120 --> 00:35:45,960
Speaker 1: a series of real murders and an amateur detective and

705
00:35:46,000 --> 00:35:49,920
Speaker 1: a bunch of pissed off people on TikTok. So you know,

706
00:35:50,239 --> 00:35:52,800
Speaker 1: this has been a thing, like ever since Cereal invented

707
00:35:52,840 --> 00:35:57,280
Speaker 1: podcasting in twenty fourteen, this has been something the Internet

708
00:35:57,360 --> 00:36:01,480
Speaker 1: loves to do, but it's been especially prominent on TikTok

709
00:36:01,800 --> 00:36:05,520
Speaker 1: lately and TikTok is so clogged up with stories about

710
00:36:05,520 --> 00:36:08,600
Speaker 1: real murders that one company started using the platform to

711
00:36:08,680 --> 00:36:11,840
Speaker 1: sell fifty dollars in case I go missing binders for

712
00:36:11,920 --> 00:36:15,040
Speaker 1: people to put all their key Like you can.

713
00:36:14,880 --> 00:36:20,640
Speaker 4: Put a hair sample, fingerprints, dental records, dental records all

714
00:36:20,719 --> 00:36:24,200
Speaker 4: in a binder that you then, I don't know, submit

715
00:36:24,280 --> 00:36:27,440
Speaker 4: to this company that then sells it to credit card companies.

716
00:36:27,440 --> 00:36:31,160
Speaker 4: I'm assuming, but it's.

717
00:36:30,600 --> 00:36:35,040
Speaker 2: Like your own handwriting too, Like this is what a

718
00:36:35,120 --> 00:36:38,040
Speaker 2: what a specific market that is bizarre.

719
00:36:38,360 --> 00:36:44,359
Speaker 1: So enter ken wax ken Waks, a TikToker with more

720
00:36:44,360 --> 00:36:47,600
Speaker 1: than a million followers who started posting videos about a

721
00:36:47,680 --> 00:36:51,000
Speaker 1: series of allegedly unrelated deaths in Chicago.

722
00:36:51,520 --> 00:36:54,440
Speaker 4: So officially, the deceased men.

723
00:36:54,440 --> 00:36:57,239
Speaker 1: Got drunk, fell into a nearby body of water, and

724
00:36:57,320 --> 00:37:02,040
Speaker 1: accidentally drowned, which is, unfortunately a thing that happens a

725
00:37:02,040 --> 00:37:05,040
Speaker 1: lot anytime there is a body of water near a

726
00:37:05,080 --> 00:37:09,520
Speaker 1: place where people get drunk, which is everywhere, and Chicago

727
00:37:09,800 --> 00:37:11,319
Speaker 1: is kind of known for that.

728
00:37:11,280 --> 00:37:11,719
Speaker 4: Sort of thing.

729
00:37:11,719 --> 00:37:12,799
Speaker 2: A river runs through it.

730
00:37:13,160 --> 00:37:19,680
Speaker 1: Yes, so he claims something's fishy here. He claims to

731
00:37:19,800 --> 00:37:22,719
Speaker 1: have been quote offered a ride by a stranger in

732
00:37:22,800 --> 00:37:27,680
Speaker 1: an unmarked vehicle while walking around Chicago at night multiple times.

733
00:37:27,920 --> 00:37:31,040
Speaker 1: And his theory is that the person who offered him

734
00:37:31,040 --> 00:37:33,399
Speaker 1: a ride or the people who offered him a ride

735
00:37:33,440 --> 00:37:39,040
Speaker 1: multiple times are actually part of some like organization that

736
00:37:39,400 --> 00:37:43,000
Speaker 1: kidnaps and drowns drunk men in their twenties and thirties

737
00:37:43,320 --> 00:37:45,600
Speaker 1: for no reason that anybody can discern.

738
00:37:46,040 --> 00:37:48,560
Speaker 4: And like the police are just like, what the fuck

739
00:37:48,560 --> 00:37:49,320
Speaker 4: are you talking about?

740
00:37:49,320 --> 00:37:49,480
Speaker 5: Man?

741
00:37:49,520 --> 00:37:52,759
Speaker 1: This is like so and but he's you know, re

742
00:37:53,760 --> 00:37:58,400
Speaker 1: raising these like tragic deaths in the lives of the families.

743
00:37:58,760 --> 00:38:02,359
Speaker 1: You know, suddenly these family are like trending because of

744
00:38:02,560 --> 00:38:07,040
Speaker 1: this horrible tragedy that happened to their brother or son

745
00:38:07,320 --> 00:38:10,680
Speaker 1: like a year ago. And these videos have received millions

746
00:38:10,680 --> 00:38:13,840
Speaker 1: of views thousands of comments. He claimed that the police

747
00:38:13,880 --> 00:38:17,440
Speaker 1: ignored him and even denied him an opportunity to speak

748
00:38:17,440 --> 00:38:20,320
Speaker 1: at community meetings, and then he claimed to have cracked

749
00:38:20,360 --> 00:38:23,759
Speaker 1: the case of nine drownings in Texas, also alleging that

750
00:38:23,800 --> 00:38:27,040
Speaker 1: they were connected to the deaths in Chicago and also Pittsburgh, Wisconsin.

751
00:38:27,040 --> 00:38:31,040
Speaker 1: In Minneapolis, perhaps the handiwork of a team of killers.

752
00:38:31,440 --> 00:38:32,000
Speaker 2: Is he white?

753
00:38:32,280 --> 00:38:32,720
Speaker 4: Oh?

754
00:38:32,840 --> 00:38:33,560
Speaker 2: Is he white?

755
00:38:33,840 --> 00:38:34,520
Speaker 4: I'm just like.

756
00:38:34,640 --> 00:38:40,160
Speaker 2: It's just the caucasidy of this. Oh man, you know

757
00:38:40,239 --> 00:38:43,640
Speaker 2: how vulnerable we are, bros. They're coming for us.

758
00:38:43,840 --> 00:38:46,759
Speaker 1: That's what's so funny about this. It ties into the

759
00:38:47,920 --> 00:38:51,280
Speaker 1: last story we were talking about, because it's like the safest,

760
00:38:51,400 --> 00:38:55,120
Speaker 1: least targeted, least endangered group of humans in the US,

761
00:38:55,400 --> 00:38:59,799
Speaker 1: like twenty and thirty year old white men fantasizing that

762
00:39:00,040 --> 00:39:04,000
Speaker 1: they're being systematically hunted down. And his evidence is people

763
00:39:04,120 --> 00:39:07,320
Speaker 1: stopping to try to help him because he's staggering drunk

764
00:39:07,320 --> 00:39:11,200
Speaker 1: in the street, and he's like all the US ever

765
00:39:11,280 --> 00:39:14,000
Speaker 1: does to white men in their twenties and thirties is

766
00:39:14,080 --> 00:39:15,879
Speaker 1: like give them the benefit of the doubt.

767
00:39:16,120 --> 00:39:18,200
Speaker 4: And people are like, hey, man, are you all right?

768
00:39:18,239 --> 00:39:18,960
Speaker 4: You need a ride?

769
00:39:19,280 --> 00:39:21,759
Speaker 2: Hey you want to be in a Supreme court? Hey

770
00:39:21,800 --> 00:39:23,080
Speaker 2: you want to be in the Supreme Court. You want

771
00:39:23,120 --> 00:39:23,680
Speaker 2: to be a senator?

772
00:39:23,840 --> 00:39:24,040
Speaker 1: Nah?

773
00:39:24,040 --> 00:39:25,319
Speaker 2: All right, cool, all right, yeah, I do you think?

774
00:39:25,320 --> 00:39:26,879
Speaker 2: Do you think? All right? Yeah? That's good.

775
00:39:27,000 --> 00:39:29,680
Speaker 5: It was, you know, as you're talking about this, Sorry,

776
00:39:29,680 --> 00:39:31,920
Speaker 5: the first thought that's coming to my mind is, oh,

777
00:39:31,920 --> 00:39:35,680
Speaker 5: my gosh, my teenager gets a lot of information from

778
00:39:35,760 --> 00:39:41,319
Speaker 5: TikTok and it's okay to get restaurant recommendations. Yeah, this

779
00:39:41,440 --> 00:39:46,480
Speaker 5: crazy shit is dangerous, right, so how do we regulated?

780
00:39:46,520 --> 00:39:49,359
Speaker 5: We can't really regulate social media. Does it make sense

781
00:39:49,400 --> 00:39:53,240
Speaker 5: to even think of regulation? Because I sometimes think about

782
00:39:53,280 --> 00:39:56,600
Speaker 5: this and I worry that there is so much information

783
00:39:56,680 --> 00:39:58,560
Speaker 5: out there, not just TikTok by the way, I mean

784
00:39:58,680 --> 00:40:01,480
Speaker 5: Facebook Yogi.

785
00:40:01,480 --> 00:40:03,920
Speaker 2: In this Yeah, right, what do we do? I mean,

786
00:40:04,320 --> 00:40:07,040
Speaker 2: at the very least, it has to be better moderated, uh,

787
00:40:07,320 --> 00:40:09,560
Speaker 2: you know, to be able to find those things. But

788
00:40:09,600 --> 00:40:11,800
Speaker 2: again it's like a slippery slope where you see things

789
00:40:11,840 --> 00:40:14,240
Speaker 2: like where people who are like talking about the cop

790
00:40:14,280 --> 00:40:18,400
Speaker 2: city in Atlanta and like video like rightly information that

791
00:40:18,440 --> 00:40:20,160
Speaker 2: should be shared with people about the police trying to

792
00:40:20,160 --> 00:40:23,040
Speaker 2: build this like multi million dollar complex and people are

793
00:40:23,040 --> 00:40:25,520
Speaker 2: getting killed for trying to stop it, or people are

794
00:40:25,520 --> 00:40:28,640
Speaker 2: being put in prison for trying to obstruct the construction

795
00:40:28,760 --> 00:40:31,520
Speaker 2: of this thing without any real due process. Like that

796
00:40:31,640 --> 00:40:34,359
Speaker 2: stuff worth noticing. But you do see that stuff get

797
00:40:34,440 --> 00:40:37,120
Speaker 2: suppressed too, So it is like what do you do?

798
00:40:37,320 --> 00:40:39,440
Speaker 2: But I think in terms of this, this is like

799
00:40:39,560 --> 00:40:43,440
Speaker 2: following in. What's really dangerous is like all this vigilante

800
00:40:43,480 --> 00:40:47,200
Speaker 2: shit that is happening right now. So many people feel

801
00:40:47,200 --> 00:40:53,000
Speaker 2: empowered to fucking intervene or create suit. In Louisiana, a

802
00:40:53,160 --> 00:40:55,560
Speaker 2: man shot a little girl in the back of her

803
00:40:55,600 --> 00:40:58,320
Speaker 2: head because they were playing hide and seek and he

804
00:40:58,400 --> 00:41:00,879
Speaker 2: thought people were like trying, like he was gonna get

805
00:41:00,920 --> 00:41:03,600
Speaker 2: got They were kids playing hide and seek, and they

806
00:41:03,640 --> 00:41:06,319
Speaker 2: some kids got onto his property. Yeah, and there's so

807
00:41:06,320 --> 00:41:08,440
Speaker 2: many people who already just hopped up on this like

808
00:41:08,680 --> 00:41:12,040
Speaker 2: cruel and unusual world shit that they can't even like

809
00:41:12,320 --> 00:41:16,040
Speaker 2: see children playing without putting it through this like lens

810
00:41:16,120 --> 00:41:17,880
Speaker 2: of like, oh, this is a threat to me because

811
00:41:18,200 --> 00:41:20,680
Speaker 2: because I live in a world where everyone's out to

812
00:41:20,719 --> 00:41:22,400
Speaker 2: get me spoiler alert, they're not.

813
00:41:22,680 --> 00:41:23,040
Speaker 4: They're not.

814
00:41:23,440 --> 00:41:27,400
Speaker 1: Yeah, So this guy Wax who claimed everyone's out to

815
00:41:27,400 --> 00:41:31,279
Speaker 1: get him and his other fellow twenty and thirty year

816
00:41:31,280 --> 00:41:36,480
Speaker 1: old white drunk men like started posting this shit about

817
00:41:36,960 --> 00:41:40,120
Speaker 1: how like a private investigator showed up at my apartment

818
00:41:40,160 --> 00:41:42,160
Speaker 1: and recruited me to be part of a secret team

819
00:41:42,239 --> 00:41:46,120
Speaker 1: investigating the smiley Face killers theory, which is another like

820
00:41:46,360 --> 00:41:49,759
Speaker 1: internet conspiracy theory where people are found drowned in a

821
00:41:49,840 --> 00:41:53,080
Speaker 1: river and like a smiley face is nearby and everyone

822
00:41:53,280 --> 00:41:56,360
Speaker 1: thinks that it's like this killer as opposed to accidental

823
00:41:56,480 --> 00:41:58,919
Speaker 1: drowning deaths, which are you know, it's again, it's again,

824
00:41:59,000 --> 00:42:02,640
Speaker 1: like one of those sampling by says where people drowned constantly,

825
00:42:02,680 --> 00:42:05,480
Speaker 1: and it doesn't make the news. The only thing that

826
00:42:05,520 --> 00:42:09,480
Speaker 1: makes the news is violent crimes, and so people assume

827
00:42:09,800 --> 00:42:12,600
Speaker 1: that anytime someone dies that there's got to be more

828
00:42:12,640 --> 00:42:15,440
Speaker 1: to the story. But he posted a video about his

829
00:42:15,800 --> 00:42:20,080
Speaker 1: like this private investigator, and was like, he's downstairs right

830
00:42:20,080 --> 00:42:20,959
Speaker 1: now feeding the meter.

831
00:42:21,640 --> 00:42:23,680
Speaker 4: So I just like jumped on here real quick to

832
00:42:23,719 --> 00:42:25,480
Speaker 4: talk to you guys. He's coming back in.

833
00:42:25,560 --> 00:42:29,759
Speaker 1: I gotta go, like like clearly inventing this guy.

834
00:42:29,840 --> 00:42:31,680
Speaker 4: And everyone was like huh.

835
00:42:31,800 --> 00:42:34,239
Speaker 1: So people started to get suspicious at that point, and

836
00:42:34,280 --> 00:42:38,560
Speaker 1: that skepticism was later rewarded when Wax started including what

837
00:42:38,640 --> 00:42:43,520
Speaker 1: amounted to sponsored content in his videos, which again are

838
00:42:44,560 --> 00:42:47,759
Speaker 1: videos about real life tragedies. But he's part of a

839
00:42:48,280 --> 00:42:51,600
Speaker 1: launch of an app for a social calendar startup company

840
00:42:51,680 --> 00:42:54,680
Speaker 1: for which he was the chief marketing officer, and all

841
00:42:54,800 --> 00:42:58,440
Speaker 1: this bullshit was just about promoting some dumb fucking app.

842
00:42:58,520 --> 00:43:01,319
Speaker 1: The CEO of the app brag about how good the

843
00:43:01,400 --> 00:43:04,960
Speaker 1: murder videos were for their business and bragged that wax

844
00:43:05,400 --> 00:43:07,960
Speaker 1: clever formula is highly reproducible.

845
00:43:08,160 --> 00:43:10,520
Speaker 4: In a post that was later deleted, he.

846
00:43:10,520 --> 00:43:13,000
Speaker 2: Said, best of all this marketing strategy comes at no

847
00:43:13,200 --> 00:43:14,360
Speaker 2: cost to the company.

848
00:43:14,680 --> 00:43:18,440
Speaker 4: Yes, yeah, yeah.

849
00:43:17,560 --> 00:43:21,680
Speaker 2: Wow, I knew capitalism would rear its ugly fucking head somehow.

850
00:43:22,280 --> 00:43:24,880
Speaker 2: It's it's like, yeah, and it was a marketing it

851
00:43:24,920 --> 00:43:26,040
Speaker 2: was a fucking promo.

852
00:43:26,239 --> 00:43:26,439
Speaker 4: Yeah.

853
00:43:26,520 --> 00:43:29,080
Speaker 1: It turns out it's an ingenious marketing trick to yell

854
00:43:29,320 --> 00:43:32,080
Speaker 1: fire in a crowded theater, because the amount of the

855
00:43:32,239 --> 00:43:35,840
Speaker 1: attention share that you get when you tell people that

856
00:43:35,920 --> 00:43:38,600
Speaker 1: they're about to die, that their death is imminent is

857
00:43:38,920 --> 00:43:44,160
Speaker 1: amazing and what it's irresponsible More on that later.

858
00:43:44,400 --> 00:43:47,240
Speaker 2: How many people who don't know this are gonna ingest

859
00:43:47,320 --> 00:43:49,640
Speaker 2: this shit and be like, man, if someone offers me

860
00:43:49,719 --> 00:43:52,919
Speaker 2: a fucking ride when I'm drunk, they're trying to murder.

861
00:43:52,640 --> 00:43:54,239
Speaker 4: Me, right, you know?

862
00:43:54,320 --> 00:43:58,360
Speaker 2: And now that open yeah yeah is out here just

863
00:43:58,440 --> 00:44:00,759
Speaker 2: wandering the streets, because there's an off of this just

864
00:44:01,400 --> 00:44:04,480
Speaker 2: wacky ass content where someone is clearly fucking lying, Like

865
00:44:04,520 --> 00:44:06,399
Speaker 2: the second is like, yeah, they asked me to join

866
00:44:06,440 --> 00:44:10,200
Speaker 2: a secret detectives club, motherfucker. This ain't the inciting incident

867
00:44:10,200 --> 00:44:13,000
Speaker 2: in some thriller movie. The fuck are you talking about?

868
00:44:13,040 --> 00:44:16,040
Speaker 2: You're lying? Uh? And I feel bad that there are

869
00:44:16,080 --> 00:44:18,279
Speaker 2: people who are because there are so many people who

870
00:44:18,280 --> 00:44:21,960
Speaker 2: are obsessed with the tragedies that befall others, that they

871
00:44:22,000 --> 00:44:24,839
Speaker 2: get sucked into this and then next thing you know,

872
00:44:24,880 --> 00:44:27,640
Speaker 2: they're violently threatening someone who maybe tried to be a

873
00:44:27,680 --> 00:44:30,319
Speaker 2: good Smaritan, even if he was offered an I doubt

874
00:44:30,320 --> 00:44:32,839
Speaker 2: he was even offered a ride. But again, I don't

875
00:44:32,840 --> 00:44:36,640
Speaker 2: know how kind Chicagoans are. If you're stumbling drunk through

876
00:44:36,680 --> 00:44:38,399
Speaker 2: the streets that gang. Let me know, is that something

877
00:44:38,440 --> 00:44:40,279
Speaker 2: where y'all would be like, hey man, you need to

878
00:44:40,360 --> 00:44:42,799
Speaker 2: ride you good because I know in la it ain't

879
00:44:42,840 --> 00:44:43,560
Speaker 2: fucking happening.

880
00:44:43,880 --> 00:44:46,440
Speaker 4: Well, it might be happening if they're and they might

881
00:44:46,480 --> 00:44:50,000
Speaker 4: be trying to rob him, which okay, yeah, there is

882
00:44:50,080 --> 00:44:52,560
Speaker 4: totally there, right. Yeah, I don't think they were.

883
00:44:52,400 --> 00:44:57,560
Speaker 1: Trying to poison and drown him like he assumed, because

884
00:44:57,680 --> 00:45:00,040
Speaker 1: what the fuck is the point of that. Also, so

885
00:45:00,440 --> 00:45:04,040
Speaker 1: we actually don't have to imagine the psychological damage he did.

886
00:45:04,120 --> 00:45:06,759
Speaker 1: Because one mother of a man who died in Chicago's

887
00:45:06,760 --> 00:45:09,719
Speaker 1: Calumet River years ago reached out to him thinking he

888
00:45:09,760 --> 00:45:12,799
Speaker 1: could help answer some questions that she had about her

889
00:45:12,800 --> 00:45:16,040
Speaker 1: son's death, and he just added her son to his

890
00:45:16,120 --> 00:45:19,719
Speaker 1: database of possible victims. Didn't bother to email her back.

891
00:45:20,040 --> 00:45:22,680
Speaker 1: Then she paid him for a fifteen minute Zoom meeting,

892
00:45:23,600 --> 00:45:26,440
Speaker 1: which he flaked on. He just like didn't show up.

893
00:45:26,640 --> 00:45:27,560
Speaker 2: Oh my god.

894
00:45:27,719 --> 00:45:32,839
Speaker 1: Yeah, just like truly brutal, yes, fucking piece of shit.

895
00:45:33,239 --> 00:45:37,160
Speaker 2: Wow wow wow. So and he's what's the next step for.

896
00:45:37,680 --> 00:45:40,120
Speaker 1: He announced it in a video He's dropping the case.

897
00:45:40,320 --> 00:45:43,360
Speaker 1: But just because of the controversy, he isn't admitting to being.

898
00:45:43,160 --> 00:45:43,759
Speaker 4: Full of shit.

899
00:45:44,440 --> 00:45:47,760
Speaker 1: He vowed that he was merely concerned about public safety

900
00:45:48,160 --> 00:45:49,480
Speaker 1: and also has.

901
00:45:49,400 --> 00:45:50,759
Speaker 4: A personal connection to the case.

902
00:45:50,800 --> 00:45:54,160
Speaker 1: Again, his personal connection is he claims some guy tried

903
00:45:54,200 --> 00:45:56,600
Speaker 1: to give him a ride two times. And also he

904
00:45:56,840 --> 00:46:00,640
Speaker 1: issued this apology about like toying with the lives of

905
00:46:00,680 --> 00:46:05,000
Speaker 1: people and making them dredge up and revisit like the

906
00:46:05,040 --> 00:46:08,440
Speaker 1: deaths of loved ones. He did that with Pokemon dolls,

907
00:46:08,520 --> 00:46:11,160
Speaker 1: Pokemon stuff. He's in the background, just.

908
00:46:11,080 --> 00:46:14,400
Speaker 4: Like over his shoulder. Very serious, very very serious.

909
00:46:14,400 --> 00:46:14,640
Speaker 1: Man.

910
00:46:14,880 --> 00:46:18,640
Speaker 2: I can see the contrition in Pikachu's face. Yes, yeah,

911
00:46:18,680 --> 00:46:21,800
Speaker 2: so in that sense, I do feel that. But again,

912
00:46:21,880 --> 00:46:24,680
Speaker 2: like this is the hard part too, right. The other

913
00:46:24,840 --> 00:46:27,440
Speaker 2: side of this social media coin is it allows people

914
00:46:27,560 --> 00:46:31,239
Speaker 2: with their mendacious and like spurious claims that they know

915
00:46:31,400 --> 00:46:34,880
Speaker 2: are bullshit to go out there, chest out, try and

916
00:46:34,920 --> 00:46:38,560
Speaker 2: get people into some kind of frenzy and then also

917
00:46:39,040 --> 00:46:41,360
Speaker 2: like when they're found out, just continue to be like, oh.

918
00:46:41,239 --> 00:46:42,759
Speaker 3: I don't know, you know, and that it is what

919
00:46:42,800 --> 00:46:43,000
Speaker 3: it is.

920
00:46:43,040 --> 00:46:45,680
Speaker 2: And yeah, maybe I did retraumatize this mother who tragically

921
00:46:45,719 --> 00:46:48,120
Speaker 2: lost her son and I maybe grifted her for thirty bucks.

922
00:46:48,360 --> 00:46:51,240
Speaker 3: I mean that als like on some level that has.

923
00:46:51,120 --> 00:46:53,319
Speaker 2: To be criminal behavior, you know what I mean to

924
00:46:53,400 --> 00:46:55,960
Speaker 2: be taking advantage of someone who's gone through this kind

925
00:46:56,000 --> 00:46:59,040
Speaker 2: of horrible thing and even pretending like you could get

926
00:46:59,080 --> 00:47:01,759
Speaker 2: to the bottom of it and like saying like oh yeah,

927
00:47:01,760 --> 00:47:02,880
Speaker 2: and I'll take your money if you want to talk

928
00:47:02,920 --> 00:47:04,520
Speaker 2: about these cases like come on.

929
00:47:04,920 --> 00:47:07,560
Speaker 1: Yeah, I don't know when we were talking about, like, well,

930
00:47:07,600 --> 00:47:10,600
Speaker 1: obviously you can't regulate social media.

931
00:47:10,040 --> 00:47:12,440
Speaker 4: I feel like you should be.

932
00:47:12,880 --> 00:47:15,080
Speaker 1: I feel like we just that needs to be if

933
00:47:15,080 --> 00:47:19,120
Speaker 1: you want to create like a lot of good government jobs,

934
00:47:19,560 --> 00:47:22,480
Speaker 1: try and make the internet like a regulated place where

935
00:47:22,520 --> 00:47:25,239
Speaker 1: people can't do shit like this. It does feel like

936
00:47:25,320 --> 00:47:28,040
Speaker 1: in a rational world, like forty years from now, we'd

937
00:47:28,040 --> 00:47:29,759
Speaker 1: look back on this and be like, man, that was

938
00:47:29,800 --> 00:47:32,960
Speaker 1: really fucked up, and we've now learned our lesson and

939
00:47:33,200 --> 00:47:38,520
Speaker 1: now you can't openly grift people on social media and

940
00:47:38,920 --> 00:47:39,799
Speaker 1: just get away with it.

941
00:47:40,080 --> 00:47:45,200
Speaker 2: Yeah, it's just, yeah, it is. It's really hard. It's

942
00:47:45,239 --> 00:47:47,440
Speaker 2: really hard to like think of how it all works.

943
00:47:47,440 --> 00:47:49,400
Speaker 2: But I guess in a way, like as a people,

944
00:47:49,840 --> 00:47:52,960
Speaker 2: maybe we don't deserve social media, we can't have nice

945
00:47:53,000 --> 00:47:55,560
Speaker 2: things that could be used for nice things. But I

946
00:47:55,600 --> 00:48:00,279
Speaker 2: think on some level it incentivizes the worst parts of

947
00:48:00,320 --> 00:48:03,680
Speaker 2: like our human character as well, and it does it

948
00:48:03,760 --> 00:48:06,359
Speaker 2: in a way that just becomes attractive. Like you look

949
00:48:06,400 --> 00:48:09,440
Speaker 2: at all these people who just become like right wing grifters,

950
00:48:09,560 --> 00:48:11,320
Speaker 2: like people who are like, yeah, I was a failed comedian,

951
00:48:11,360 --> 00:48:12,440
Speaker 2: but I know if I say a lot of like

952
00:48:12,719 --> 00:48:15,960
Speaker 2: awful racist shit, I actually have another gig and I

953
00:48:15,960 --> 00:48:18,120
Speaker 2: don't really have to believe it. But these people love

954
00:48:18,120 --> 00:48:20,279
Speaker 2: it because it's social media and it is what it is,

955
00:48:20,640 --> 00:48:22,640
Speaker 2: and I'm benefiting from it. And I think that's the

956
00:48:22,680 --> 00:48:24,960
Speaker 2: biggest part we're seeing with all of these accounts and

957
00:48:25,080 --> 00:48:27,640
Speaker 2: or just like these influencers rise up too, is that

958
00:48:28,120 --> 00:48:30,520
Speaker 2: you know, it's hard to know like how you can

959
00:48:30,640 --> 00:48:32,399
Speaker 2: use it for good or in a way or keep

960
00:48:32,440 --> 00:48:34,920
Speaker 2: people from using it that is just going to lead

961
00:48:34,960 --> 00:48:36,279
Speaker 2: to just a bunch of pain.

962
00:48:36,440 --> 00:48:40,320
Speaker 5: Yeah, And what's sad and ironic is that what gets

963
00:48:40,480 --> 00:48:44,480
Speaker 5: clicks and likes and reviews is deployment of trauma of

964
00:48:44,520 --> 00:48:47,759
Speaker 5: some source, right, somebody else's trauma. But at the end

965
00:48:47,800 --> 00:48:51,600
Speaker 5: of the day, it is how traumatic it is and

966
00:48:51,640 --> 00:48:55,920
Speaker 5: how that is commodified. So that goes back to human

967
00:48:55,960 --> 00:48:59,520
Speaker 5: psyche and human nature and how we look at things

968
00:48:59,640 --> 00:49:01,320
Speaker 5: that do impact us directly.

969
00:49:01,800 --> 00:49:01,960
Speaker 2: Right.

970
00:49:02,040 --> 00:49:02,360
Speaker 4: Yeah.

971
00:49:02,480 --> 00:49:07,120
Speaker 1: Also, because we live in a very lonely world, like

972
00:49:07,400 --> 00:49:10,320
Speaker 1: all these things have sort of corded us off into

973
00:49:10,560 --> 00:49:15,480
Speaker 1: our little capitalism cells where we do the most work

974
00:49:15,520 --> 00:49:18,880
Speaker 1: and work as efficiently as possible and order our food

975
00:49:19,080 --> 00:49:21,440
Speaker 1: to get here so we can, you know, have as

976
00:49:21,520 --> 00:49:23,040
Speaker 1: much free time.

977
00:49:23,000 --> 00:49:24,240
Speaker 2: As we don't food.

978
00:49:24,760 --> 00:49:26,160
Speaker 4: You don't cook food, No.

979
00:49:26,400 --> 00:49:28,960
Speaker 1: Order, you got to order and just have it left

980
00:49:28,960 --> 00:49:31,719
Speaker 1: at your front door and then then so you can

981
00:49:31,880 --> 00:49:32,880
Speaker 1: get back to work.

982
00:49:33,400 --> 00:49:33,880
Speaker 4: And no.

983
00:49:33,920 --> 00:49:38,440
Speaker 1: But I mean they there's skyrocketing loneliness in our society

984
00:49:38,680 --> 00:49:42,759
Speaker 1: and I think worldwide, and these sorts of things like

985
00:49:43,120 --> 00:49:47,880
Speaker 1: you're saying, like packaging and distributing other people's trauma, I

986
00:49:47,880 --> 00:49:51,360
Speaker 1: think praise on it. It's like here's here's some human connection,

987
00:49:51,440 --> 00:49:55,200
Speaker 1: here's some human emotion that you can feel because you know,

988
00:49:55,239 --> 00:50:00,200
Speaker 1: we no longer have deep enriching friendships or like community

989
00:50:00,320 --> 00:50:04,759
Speaker 1: to build on, so you just get to watch tiktoks

990
00:50:04,800 --> 00:50:08,759
Speaker 1: of people trying to solve other people's murders that aren't

991
00:50:08,800 --> 00:50:09,640
Speaker 1: actual murders.

992
00:50:09,800 --> 00:50:13,719
Speaker 2: Yeah, and that's even disingenuous to come some guy solving murders. Really,

993
00:50:13,719 --> 00:50:17,040
Speaker 2: what you can be is duped into a really fucked

994
00:50:17,120 --> 00:50:21,600
Speaker 2: up cynical marketing campaign for some stupid fuck you app

995
00:50:21,880 --> 00:50:22,680
Speaker 2: get out of here.

996
00:50:22,920 --> 00:50:25,920
Speaker 1: Yeah, well, Sadia, it's been such a pleasure having you

997
00:50:26,080 --> 00:50:29,440
Speaker 1: on the show. Where can people find you? Follow you

998
00:50:29,560 --> 00:50:30,560
Speaker 1: all that good stuff.

999
00:50:30,560 --> 00:50:35,440
Speaker 5: You can follow my podcast Immigrantly at Immigrantly Underscore pod

1000
00:50:35,840 --> 00:50:39,359
Speaker 5: on Twitter and immigrantly Pod on Instagram, and they can

1001
00:50:39,400 --> 00:50:46,680
Speaker 5: follow me on Twitter at s w K Kham and

1002
00:50:46,760 --> 00:50:49,240
Speaker 5: listen to Immigrantly. Listen to Invisible Hate, which is another

1003
00:50:49,280 --> 00:50:54,160
Speaker 5: podcast that I am creating with the Filion Media and

1004
00:50:54,200 --> 00:50:59,160
Speaker 5: it's about ethical storytelling and we highlight injustices against minority

1005
00:50:59,160 --> 00:51:00,160
Speaker 5: groups in America.

1006
00:51:00,440 --> 00:51:03,600
Speaker 4: Amazing And is there a work of media that you've

1007
00:51:03,600 --> 00:51:04,240
Speaker 4: been enjoying?

1008
00:51:04,719 --> 00:51:08,839
Speaker 5: So I read a tweet yesterday which goes back to

1009
00:51:08,880 --> 00:51:11,840
Speaker 5: the conversation we were having about the British monarchy, and

1010
00:51:11,920 --> 00:51:15,440
Speaker 5: I really want to share that because it spoke to

1011
00:51:15,480 --> 00:51:18,719
Speaker 5: me and I am thinking it may speak to a

1012
00:51:18,760 --> 00:51:22,040
Speaker 5: lot of people who are listening to this, So let

1013
00:51:22,080 --> 00:51:25,080
Speaker 5: me just share this. And this is by Sana said.

1014
00:51:25,239 --> 00:51:30,600
Speaker 5: Her handle is at Sana sa Nasaed. She's a journalist

1015
00:51:30,800 --> 00:51:36,440
Speaker 5: and her tweet is Camilla's necklace worn by queens for coronation.

1016
00:51:36,840 --> 00:51:40,399
Speaker 5: Since Victoria contains a twenty two point four to eight

1017
00:51:40,560 --> 00:51:45,600
Speaker 5: carret pendant called the Lahore Diamond. It was stolen among

1018
00:51:45,840 --> 00:51:50,480
Speaker 5: other jewels, relics, gold when the British invaded and looted

1019
00:51:50,560 --> 00:51:54,279
Speaker 5: the Lahore fought in eighteen forty nine, an empire of

1020
00:51:54,560 --> 00:51:58,960
Speaker 5: thieves dressed like thieves. And it really spoke to me,

1021
00:51:59,120 --> 00:52:02,200
Speaker 5: especially because it's Lahar diamond. I grew up in Lahore.

1022
00:52:02,440 --> 00:52:03,200
Speaker 5: It's personal.

1023
00:52:03,760 --> 00:52:06,200
Speaker 2: Yeah, And is it one of those things too where

1024
00:52:06,239 --> 00:52:09,000
Speaker 2: people can see it, like where the like the monarchy

1025
00:52:09,000 --> 00:52:10,680
Speaker 2: can thumb their nose at the people who are like

1026
00:52:10,840 --> 00:52:12,600
Speaker 2: that should be ours like and you can see it

1027
00:52:12,680 --> 00:52:16,080
Speaker 2: here and pay to see your thing, Okay, yeah, yeah.

1028
00:52:16,080 --> 00:52:19,280
Speaker 5: I mean I don't know about this particular necklace because

1029
00:52:19,280 --> 00:52:22,440
Speaker 5: she's wearing it. And if people go and just you know,

1030
00:52:22,520 --> 00:52:25,520
Speaker 5: google that the hard diamond they'll probably see Kimla wearing it,

1031
00:52:25,560 --> 00:52:29,600
Speaker 5: but I'm sure it's on display somewhere right right right.

1032
00:52:29,680 --> 00:52:32,720
Speaker 5: People can probably check it out, but that's that's the irony, right.

1033
00:52:33,040 --> 00:52:35,920
Speaker 1: Yeah, all right, Miles, Where can people find you? Is

1034
00:52:35,960 --> 00:52:38,080
Speaker 1: there a work media you've been enjoying?

1035
00:52:38,440 --> 00:52:41,680
Speaker 2: You can find me on Twitter and Instagram at Miles

1036
00:52:41,680 --> 00:52:43,719
Speaker 2: of Gray. You can check Jack and I out on

1037
00:52:43,719 --> 00:52:46,439
Speaker 2: our basketball podcast, Miles and Jack Got Mad boost These,

1038
00:52:46,480 --> 00:52:49,120
Speaker 2: and also check me and Sophia Alexandra out on four

1039
00:52:49,160 --> 00:52:51,520
Speaker 2: to twenty Day Fiance, where we talk about our favorite

1040
00:52:51,640 --> 00:52:55,080
Speaker 2: terrible trash reality show, ninety Day Fiance, and we also

1041
00:52:55,120 --> 00:52:57,799
Speaker 2: talk about love is Blind. Actually, in the most recent episodes,

1042
00:52:58,080 --> 00:53:00,400
Speaker 2: tweets are like, it's just been funny reading about the

1043
00:53:00,440 --> 00:53:05,439
Speaker 2: writer's strike. Andrew t pass guest and writer. He quote

1044
00:53:05,440 --> 00:53:08,399
Speaker 2: tweeted this thing from WGA West. That's Joe Biden's quote.

1045
00:53:08,400 --> 00:53:09,800
Speaker 2: He says, quote this is from the president. Quote. I

1046
00:53:09,840 --> 00:53:12,200
Speaker 2: sincerely hope the writer's strike in Hollywood gets resolved and

1047
00:53:12,239 --> 00:53:14,200
Speaker 2: the writers are given a fair deal they deserve as

1048
00:53:14,200 --> 00:53:17,600
Speaker 2: soon as possible. Andrew tweeted the first terrible omen of

1049
00:53:17,680 --> 00:53:20,839
Speaker 2: this strike. This sounds great unless your memory goes back

1050
00:53:20,920 --> 00:53:23,120
Speaker 2: more than six months. I'm scared to find out what

1051
00:53:23,239 --> 00:53:26,279
Speaker 2: Joe Biden believes is a fair deal I deserve. Yeah,

1052
00:53:26,280 --> 00:53:29,240
Speaker 2: hearkening back to that when he broke that railroad strike.

1053
00:53:29,960 --> 00:53:31,719
Speaker 2: And also it was just really interesting to see there

1054
00:53:31,760 --> 00:53:34,200
Speaker 2: was in Deadline, which is like one of these industry

1055
00:53:34,320 --> 00:53:38,360
Speaker 2: blog magazine type things, they wrote up this like union action,

1056
00:53:38,640 --> 00:53:39,520
Speaker 2: like of labored.

1057
00:53:39,680 --> 00:53:43,280
Speaker 3: They called it how a WGA hit squad is shutting

1058
00:53:43,320 --> 00:53:46,560
Speaker 3: down Hollywood one shoot at a time. And all they

1059
00:53:46,760 --> 00:53:50,200
Speaker 3: really are mentioning is that the writers are very savvy

1060
00:53:50,200 --> 00:53:53,000
Speaker 3: in where they pick it because they know, like unions,

1061
00:53:53,040 --> 00:53:56,040
Speaker 3: they're not going to cross picket lines. And they're just saying, like, oh,

1062
00:53:56,160 --> 00:53:58,640
Speaker 3: they found this shoot where Maya Rudolph was shooting a

1063
00:53:58,680 --> 00:54:00,360
Speaker 3: show in Beverly Hills and all it it takes his

1064
00:54:00,440 --> 00:54:02,440
Speaker 3: two people to create a picket line. I think what

1065
00:54:02,560 --> 00:54:05,640
Speaker 3: is really interesting about this is it can happen outside

1066
00:54:05,640 --> 00:54:07,840
Speaker 3: of La too. There's a lot of shoots that happen

1067
00:54:07,880 --> 00:54:10,080
Speaker 3: in Atlanta, in Georgia. There are other states that offer

1068
00:54:10,080 --> 00:54:12,880
Speaker 3: a lot of tax incentives where you will see productions happening,

1069
00:54:13,280 --> 00:54:16,919
Speaker 3: you can picket and teamsters should not be crossing those

1070
00:54:16,960 --> 00:54:19,880
Speaker 3: lines or IATZI members. So they did do a solid

1071
00:54:19,920 --> 00:54:21,440
Speaker 3: in the end of it by talking to the people

1072
00:54:21,440 --> 00:54:25,640
Speaker 3: who were actually organizing these like very specific like intentional

1073
00:54:25,920 --> 00:54:29,560
Speaker 3: picket lines, and they're saying, hopefully this inspires people, you know,

1074
00:54:29,680 --> 00:54:32,080
Speaker 3: in other places where production is happening to also get

1075
00:54:32,120 --> 00:54:33,239
Speaker 3: involved because that would be.

1076
00:54:33,239 --> 00:54:36,520
Speaker 2: Something as well. So anyway, just good to see, you know,

1077
00:54:36,760 --> 00:54:39,680
Speaker 2: at least the writers doing their thing. Unfortunately they have

1078
00:54:39,760 --> 00:54:41,560
Speaker 2: to because they're not getting their fair shake.

1079
00:54:41,920 --> 00:54:42,600
Speaker 4: Yeah.

1080
00:54:42,680 --> 00:54:45,360
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien.

1081
00:54:45,600 --> 00:54:47,800
Speaker 1: A couple of tweets I've been enjoying. The onion tweeted

1082
00:54:48,600 --> 00:54:51,239
Speaker 1: local brother in law heard you can make shitload of

1083
00:54:51,280 --> 00:54:57,360
Speaker 1: money doing that. Just really resonated. And then another Onion tweet,

1084
00:54:58,080 --> 00:55:00,440
Speaker 1: no one at laser tag prepared for how our dad

1085
00:55:00,600 --> 00:55:01,319
Speaker 1: was going to bring it.

1086
00:55:01,560 --> 00:55:04,520
Speaker 2: Yeah, yeah, no, it's talking about you, talking about you.

1087
00:55:04,600 --> 00:55:05,000
Speaker 4: That's right.

1088
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Speaker 1: You can find me on Twitter at Jack Underscore O brian.

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00:55:07,640 --> 00:55:09,680
Speaker 1: You can find us on Twitter at Daily Zeitgeist. We're

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00:55:09,680 --> 00:55:12,000
Speaker 1: at the Daily Zeikeeist on Instagram, we have a Facebook

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00:55:12,040 --> 00:55:14,440
Speaker 1: fan page and a website Daily zeikeist dot com. Or

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00:55:14,520 --> 00:55:17,520
Speaker 1: we post our episode than our footnotes link off the

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00:55:17,520 --> 00:55:20,120
Speaker 1: information that we talked about in today's episode was a

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00:55:20,160 --> 00:55:22,200
Speaker 1: song that we think you might enjoy. Myles, what's the

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00:55:22,239 --> 00:55:23,759
Speaker 1: song you think people might enjoy?

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00:55:24,080 --> 00:55:24,239
Speaker 5: Uh?

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00:55:24,480 --> 00:55:28,160
Speaker 2: This is from this California band called Goon, and there's

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00:55:28,200 --> 00:55:30,920
Speaker 2: like an interlude on it that I really really loved.

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00:55:30,920 --> 00:55:32,359
Speaker 2: Like some you know how sometimes you hear a song

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00:55:32,360 --> 00:55:34,239
Speaker 2: it's like only a minute fifteen seconds and you're like,

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00:55:34,280 --> 00:55:36,279
Speaker 2: I wish that was a whole song. Well, this is

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00:55:36,320 --> 00:55:40,400
Speaker 2: like just a very beautiful instrumental little jam from their

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00:55:40,440 --> 00:55:43,080
Speaker 2: album Hour of Green Everything. This track is called Pink

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00:55:43,200 --> 00:55:47,040
Speaker 2: and Orange from Goon, and it's like a very ethereal

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00:55:47,280 --> 00:55:50,279
Speaker 2: kind of synthesizer kind of I don't know how to

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00:55:50,320 --> 00:55:52,719
Speaker 2: describe it. It's just it's nice, it's light and it

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00:55:52,760 --> 00:55:54,760
Speaker 2: feels like I just I just really like the melody

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00:55:54,760 --> 00:55:56,719
Speaker 2: and how it sort of fills on itself. So check

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00:55:56,719 --> 00:55:58,480
Speaker 2: it out. Pink and Orange by Goon.

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Speaker 4: We like off to that footnote.

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00:56:00,600 --> 00:56:02,480
Speaker 2: The Daily is the production by Heart Radio.

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Speaker 1: For more podcasts from my Heart Radio, visit the iHeartRadio

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Speaker 1: w ap Apple podcast, or wherever you listen to your

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Speaker 1: favorite shows. That's going to do it for us this morning,

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00:56:08,880 --> 00:56:10,839
Speaker 1: back this afternoon to tell you what's trending and we'll

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Speaker 1: talk to you all day.

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Speaker 2: By bye.