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

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Speaker 1: Episode two of Day's Guys Stay production of My Heart Radio.

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

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Speaker 1: into America Share your Cats.

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Speaker 2: Oh yeah, and.

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Speaker 1: It is Wednesday, July nineteenth, twenty twenty three. Yep, my

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Speaker 1: name's Oh yeah, what's what's seven nineteen Jack?

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Speaker 2: It's not. It's International Retainer Day. Yeah, teeth man, keep

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Speaker 2: your teeth straight. Your parents money for your teeth, man, exactly,

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Speaker 2: not the legal retainers retainer, ad Man. Not that retainer

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Speaker 2: for your teeth. You know your parents paid all that

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Speaker 2: money for your braces. You don't want to just god

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Speaker 2: your teeth washed out on retainers, man, I'll wash up

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Speaker 2: on a retainer Wana. Also National Hot Dog Day. I

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Speaker 2: didn't realize that feels late.

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Speaker 3: Damn.

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Speaker 1: That would be like Happy Birthday January.

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Speaker 2: Yeah, shout out Jamie Loftus, shout out row Dog. The

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Speaker 2: book is fantastic and also so shout out to my

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Speaker 2: grandmother Rest in peace, because this was a game we

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Speaker 2: used to play all the time. National Words with Friends

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Speaker 2: Day because she used to whoop and scrabble yo. She

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Speaker 2: never she was fucking ruthless when we way scrabbled since

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Speaker 2: I was since I was literate, okay, since I could play.

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Speaker 2: My mom was like my grandmother was like, okay, so

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Speaker 2: we got a fucking chump tonight. Yeah, Michael, yeah, Vernon

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Speaker 2: Maxwell talking about But yeah that also played into like

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Speaker 2: my just hardcore style because when I played with her magicy,

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Speaker 2: She's like, what are you fucking doing? I'm like a

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Speaker 2: triple word score that ship and like you were too

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Speaker 2: good and she like she says, I'm like, way, like

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Speaker 2: I'm not having fun with it. Yeah, like I'm getting

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Speaker 2: because I'm I'm very mad. You know, you got to

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Speaker 2: be efficient with those tiles to get the most points

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Speaker 2: you can out of every word. Score that no, no, exactly,

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Speaker 2: And I have the pain of my grandmother, Carmen rest

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Speaker 2: in peace, just wind milling on me scrabble. But that's

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Speaker 2: how you you know. I think she was very much like,

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Speaker 2: don't you know, teach the kid's house really out like

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Speaker 2: what it's like out there, so they can, you know,

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Speaker 2: rise it. So anyway, shout out wards with friends.

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Speaker 1: All Right, Well, my name is Jack O'Brien.

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Speaker 4: AKA.

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Speaker 1: It's no big secret why jiff O Bunnius doesn't work anymore.

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Speaker 1: That was me trying to come up with the equivalent

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Speaker 1: of Van Vaught for my name. The AI generated title

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Speaker 1: we covered on yesterday's episode. It's no secret. It's no

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Speaker 1: big secret why Van Vaught doesn't work anymore with a

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Speaker 1: picture of Vince Vaughn. Hey, I is brilliant. It's gonna

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Speaker 1: take all our jobs and do them so badly. Anyways,

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Speaker 1: I'm thrilled to be joined as always by my co

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Speaker 1: host mister Miles grand Mile Gray k.

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Speaker 5: Tall and tan and young and lovely. The A I

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Speaker 5: called e Banima ai ying and each where she passes,

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Speaker 5: each one she passes.

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Speaker 2: Go okay, shout out to locker room. He actually put

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Speaker 2: dolphin noises, but I just wanted to go just kind

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Speaker 2: of take it into our dystopian computer world. For those

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Speaker 2: of you remember those old g I Joe PSAs from

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Speaker 2: early YouTube, I was taking inspiration from the computer one.

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Speaker 1: Damn that was Yeah, that sounded like all the sounds

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Speaker 1: just getting blended together. I don't I don't know if

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Speaker 1: I caught the store. What is the AI and Banima?

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Speaker 1: Is that the name of an Ai.

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Speaker 2: I could be? I don't know.

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Speaker 1: The reference to a story I didn't know.

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Speaker 2: No, honestly, loceroni. Let me know if that is tied

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Speaker 2: to something. But you win points because you know I

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Speaker 2: love a bit of uh, you know, the Brazilian Boston

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Speaker 2: Nova goat, and.

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Speaker 1: It got our got our energy in the night. Yes,

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Speaker 1: I feel relax. Yes, shoulders are loose, Yeah, shoulders loose,

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Speaker 1: head on a swivel. Yeah, hips got honey. So it's time.

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Speaker 1: You know what that means. It's time to be thrilled

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Speaker 1: to be joining our third See, professor of Alaska Native

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Speaker 1: Languages at the University of Alaska Southeast, the host of

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Speaker 1: the podcast The Tongue Unbroken from Next The Next Up Initiative.

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Speaker 1: Please welcome doctor Hune Lance twitch On.

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Speaker 3: Hi, it's me. I'm the problem. I'm colonization. How's it going.

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Speaker 3: It's so good to see you guy.

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Speaker 1: It's good to have you back.

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Speaker 3: You know, someone tried Ai with our thing. It language.

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Speaker 3: There was no there's a reporter here in Juno for

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Speaker 3: the Juno Empire, and so she had entered a short

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Speaker 3: She wrote a short story and then she entered it

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Speaker 3: into this thing that that had the Clinquet language as

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Speaker 3: an option, and then she sent it to me. She said,

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Speaker 3: could you just take a look at this and I said, well,

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Speaker 3: those are words, but it's just grabbing words and just

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Speaker 3: putting them at random, including my name, like my name

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Speaker 3: was in the story like ten times. And so I said, wow,

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Speaker 3: it's just complete gibberish. It makes no sense.

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Speaker 2: So the computer like from it, from it trying to

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Speaker 2: glean information about cling it that it found your name,

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Speaker 2: and it's like, okay, so this must also be part

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Speaker 2: of the mix. Yeah, yeah, and here we go, here's

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Speaker 2: your story. Wait, how didn't you read what?

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Speaker 1: It was?

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Speaker 3: Truly out of order, just like yeah, salad. Yeah, there's

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Speaker 3: a couple of words. But like one of the big

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Speaker 3: problems is when you change a verb in our language

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Speaker 3: is it changes a lot. And so to be able

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Speaker 3: to man you could you could develop something that could

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Speaker 3: manufacture stuff in our language, but you would have to

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Speaker 3: spend a lot of hours. And so what it seems

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Speaker 3: like it did is found a dictionary and just sort

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Speaker 3: of grab words but never really looked at what they mean,

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Speaker 3: I guess, And so it's just like here's a bunch

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Speaker 3: of words, here's a word, salad, and that's your story.

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Speaker 2: So you know, task complete. Yeah, I mean that's good

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Speaker 2: to get to know that AI is still right now,

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Speaker 2: it's only fucking up like English.

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Speaker 3: Yeah, right, and so, but it's probably coming for everything eventually.

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Speaker 3: And so, but maybe maybe there's a world where you

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Speaker 3: have someone to talk to. Because with our language, we

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Speaker 3: have about forty people left who could speak, so it

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Speaker 3: does get pretty scary. And we have a language north

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Speaker 3: of us that's called Eyak that lost its last living

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Speaker 3: bird speaker. And when she was the only speaker for

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Speaker 3: quite a while, she would say, I talked to my TV,

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Speaker 3: I talked to the walls. I talk to God, and

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Speaker 3: nobody talks to me. So like what we're trying to

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Speaker 3: do is like keep that from happening. So I started

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Speaker 3: with a Taylor Swift take on a Taylor Swift song

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Speaker 3: because I thought, maybe if we can get the Swifties

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Speaker 3: and the Beehive on board with decolonization, right, like, they've

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Speaker 3: got so much energy and commitment, and so I think

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Speaker 3: maybe we'll get somewhere.

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Speaker 1: Yeah, I think it definitely makes sense for Taylor Swift.

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Speaker 1: I feel like she her career has gone from being

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Speaker 1: just like ah shucks.

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Speaker 2: I don't know.

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Speaker 1: I guess I'm just kind of a good songwriter to

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Speaker 1: like she We've like witnessed her waking up a little

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Speaker 1: bit to the complexities of the modern world. So I

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Speaker 1: don't know at least private Yeah, you know, which isn't

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Speaker 1: isn't that?

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Speaker 2: Yes, That's why I got those new albums Private Equities,

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Speaker 2: because Taylor's version Baby Private Equity, all lines go back there.

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Speaker 1: Even a bro clock you know.

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Speaker 2: Yeah serious?

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Speaker 1: All right, well who and we're going to get to

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Speaker 1: know you a little bit better in a moment. First,

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

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Speaker 1: things we're talking about. We got a couple like word

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Speaker 1: doc length tweets truths from Donald Trump, just like freak outs,

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Speaker 1: So we're going to talk about that. But the big

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Speaker 1: thing we're going to talk about is we finally found

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Speaker 1: undeniable evidence that we live in the matrix. This TikTok

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Speaker 1: video of a person being frozen, like standing frozen for

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Speaker 1: I'd say two seconds, and everyone's like, whoa impossible NPC

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Speaker 1: right there. Yeah, but this is this is the whole

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Speaker 1: wing of TikTok that we're going to cover, Like the

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Speaker 1: glitch talk I think it's called, and just the idea

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Speaker 1: that people now that everyone has phones like we are

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Speaker 1: able to come into contact with glitches in the matrix

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Speaker 1: all over the place, and it's proof that we're living

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Speaker 1: in a simulation. And I will talk about that, we'll

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Speaker 1: talk about why people want to believe that you might

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Speaker 1: talk Avatar Whu Nay. You offered to give us a

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Speaker 1: brief Indigenous review of the Avatar Cinematic Universe. So I'm

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Speaker 1: excited for that.

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Speaker 2: And I mean, just just to tease that, did you

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Speaker 2: enjoy it?

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Speaker 3: Well, I could do the whole thing right now, because

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Speaker 3: it's it's really a two sentence review because you know,

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Speaker 3: as as I thought about, I listened to you guys

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Speaker 3: show all the time. It's awesome. Thanks for everything that

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Speaker 3: you guys do. Thank you Indigenous people's I would say

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Speaker 3: in North America, it depends on where you live. It

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Speaker 3: might be like one out of every hundred people is indigenous.

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Speaker 3: In Alaska is one out of every four, so we

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Speaker 3: have about twenty five percent indigenous people. So you guys

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Speaker 3: should have one out of every four guests on your

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Speaker 3: show be Indigenous or somewhere in between there and one

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Speaker 3: out of every hundred. So when Avatar two came out

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Speaker 3: the water thing, I was like, oh, maybe they'll bring

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Speaker 3: on an Indigenous person to give their perspective about Avatar,

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Speaker 3: and I'll give you my perspective, and to be fair,

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Speaker 3: I've never seen any of them. But here's my two

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Speaker 3: sentence review of the first Avatar. One Indigenous people are

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Speaker 3: not blue and two white people did not stop colonization.

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Speaker 3: And so I think there's a bit of a fantasy

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Speaker 3: world that we see quite a bit, Like it's kind

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Speaker 3: of teased and dances with wolves and it's teased, and

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Speaker 3: a lot of kind of Native American films that still

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Speaker 3: center whiteness. It's like there's this sort of portrayal of

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Speaker 3: colonization and white people like fighting against it, right, which

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Speaker 3: did happen? But maybe that was like one out of

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Speaker 3: every ten thousan yes.

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Speaker 2: Right, something like that. Okay, yeah, yeah, yeah, no, you'll

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Speaker 2: get into it.

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Speaker 3: No spoilers in my review though.

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Speaker 1: Yeah, oh I'm going big spoilers.

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Speaker 4: We're going deep.

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Speaker 1: But yeah, so we'll talk about that plenty more. But

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Speaker 1: before we get to any of that, Khune, doctor Twitchell,

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Speaker 1: we do like to ask our guests, what is something

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Speaker 1: from your search history that's revealing about who you are?

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Speaker 3: Yeah, So I was going through my search history and

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Speaker 3: actually the one thing that I want to look at

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Speaker 3: is how many Native American remains human remains are in

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Speaker 3: museums and universities. Because I went to a training once

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Speaker 3: on this law called NAGPRA, and NAGPRA is the Native

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Speaker 3: American Graves Protection and Repatriation Act, And so one of

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Speaker 3: the things I think about is when you make a law,

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Speaker 3: there's like some reason for it. And so there's a

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Speaker 3: great quote by an author named Walter Echohawk who said,

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Speaker 3: if you dig up graves, you go to jail, but

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Speaker 3: if you dig up Native American graves, you get a PhD.

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Speaker 3: And so, you know, I was thinking about this because

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Speaker 3: I was at this training because NEKRA does two things.

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Speaker 3: One it says you cannot dig up Native American graves,

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Speaker 3: right and so low key. When the Queen of England

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Speaker 3: passed away, I wasn't trying to be disrespectful, but I

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Speaker 3: was thinking, are they going to send parts of her

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Speaker 3: to kind of different colonized places because they have lots

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Speaker 3: lots of our people in their museums and their stuff.

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Speaker 3: But so it says you cannot dig up Native American graves.

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Speaker 3: And the other thing that it says is if Native

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Speaker 3: American people can identify something in a museum that belongs

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Speaker 3: to them. There's they can get it back. It doesn't

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Speaker 3: mean they will get it back, but they can get

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Speaker 3: it back. And so that's the repatriation part. So I

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Speaker 3: was at a training for this and our trainer said,

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Speaker 3: and I don't know if he was accurate on this

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Speaker 3: after I did some research, but it was still jaw dropping.

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Speaker 3: He said, they're about two million Native Americans on the

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Speaker 3: earth today, and this is in two thousand and six.

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Speaker 3: He said, there are more Native American remains human remains

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Speaker 3: in museums and universities than there are walking the earth

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Speaker 3: today Jesus Christ. And so I'm not sure if that's

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Speaker 3: the accurate thing, but I do know it's well over

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Speaker 3: one hundred thousand people. And sometimes it's a brain and

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Speaker 3: sometimes it's like a finger, or they would they would

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Speaker 3: chop someone up and send them to different parts. Like

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Speaker 3: there was someone who resisted people taking their land in

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Speaker 3: the East Coast. He was called King Philip, and that

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Speaker 3: was the English name that he was given, and he

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Speaker 3: was chopped up and sent to like his head went

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Speaker 3: to Boston and like his hands went somewhere. And so

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Speaker 3: these are some things that I think about because We're

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Speaker 3: always trying to get stuff back, and I'm always trying

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Speaker 3: to let people know the depth of what colonization is,

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Speaker 3: which is why decolonization is a thing to embrace. And

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Speaker 3: one of those things is because it's a complete separation

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Speaker 3: of people and humanity. And so I think for some

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Speaker 3: people they'll say, well, these people are not humans, so

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Speaker 3: we could do whatever we want to them because they're

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Speaker 3: not Christian, they're not being saved by God, right. But

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Speaker 3: the reality is, like I think people separated themselves from

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Speaker 3: their concept of being human beings and humanity, and so

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Speaker 3: decolonization reconnects the people, the descendants of the folks who

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Speaker 3: were making those decisions to take everybody's stuff and keep

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Speaker 3: them from speaking their languages and take their children and

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Speaker 3: do all this other stuff. So it's not fun stuff

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Speaker 3: to google. And so I'll give you like one more

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Speaker 3: because someone send me a message said, do you guys

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Speaker 3: feel the earthquake? I was like, well, I live in

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Speaker 3: Alaska and that was a big earthquake, but it was

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Speaker 3: nineteen hundred miles away, so it's about the distance from

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Speaker 3: Los Angeles to New Orleans, and so would you feel

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Speaker 3: about you know, so call someone in New Orleans say

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Speaker 3: did you guys feel that earthquake? And I'd be like, no, bro,

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Speaker 3: I was like just sitting here. And so Alaska's a

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Speaker 3: big place.

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Speaker 1: Is Alaska's fucking huge, isn't it? Like it's the biggest

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Speaker 1: state by orders of magnitude. Yeah, like orders of magnitude.

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Speaker 1: It's so much bigger than like Texas is way bigger

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Speaker 1: than like my brain can possibly wrap itsself around with.

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Speaker 1: Like I've driven through Texas. I've like like flown around Texas,

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Speaker 1: like gone from one airport to the next, and it's like, oh,

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Speaker 1: it's like an hour and a half flight. Like that's

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Speaker 1: like going from you know, many states over and Texas

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Speaker 1: like fits into a corner of Alaska. Alaska is that's

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Speaker 1: Alaska on top of the United States. Yeah, it's like

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Speaker 1: the entire Midwest.

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Speaker 2: Like eight yeah, it is, right, Yeah, and almost all

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Speaker 2: of Florida too. Yeah. If you actually extend it down,

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Speaker 2: it's amazing.

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Speaker 3: Yeah, it's a big in So yeah, you can go

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Speaker 3: nineteen hundred miles and you're still you know, like that's

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Speaker 3: just air miles. Like if you just got in a

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Speaker 3: little plane and just run for nineteen hundred miles, you

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Speaker 3: could still be in Alaska.

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Speaker 1: So do you have to be pretty comfortable with getting

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Speaker 1: in little planes and flowing or do you do you

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Speaker 1: do that?

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Speaker 3: Well, my grandma she wouldn't, and so we'd have to.

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Speaker 3: You know, we have a ferry system that goes through

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Speaker 3: here that's become unreliable and unstable, but it's it's been

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Speaker 3: wonderful because you could put your car onto the ferry

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Speaker 3: and then you could go because where we live you can't.

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Speaker 3: You got like forty miles of road here and that's

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Speaker 3: or maybe sixty uh, but you you can go to

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Speaker 3: the end of the road in four different spots and

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Speaker 3: that's all you can really do. And so for some

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Speaker 3: people that gets really tough for them. You can get

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Speaker 3: a boat and then you could go somewhere. But we

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Speaker 3: do have a ferry where you could put your car

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Speaker 3: onto the boat and then you could drive out from

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Speaker 3: Skagway or Hanes or go down into Canada. But small

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Speaker 3: planes are a thing here, and they are they could

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Speaker 3: be pretty scary. So one time I was living in

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Speaker 3: Skagway and we had sixty mile an hour gus, you know,

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Speaker 3: gusting up to eighty miles an hour. So I called

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Speaker 3: the airline, I said, are you guys art flying today,

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Speaker 3: are you? Because I'm supposed to go to this little

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Speaker 3: town called Petersburg And they said, we're not, but these

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Speaker 3: other guys are.

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Speaker 1: They're pretty drunk.

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Speaker 3: But I said why why and they said, well, oh no,

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Speaker 3: it's it's no problem. Like our plane the wings are

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Speaker 3: on the top, and they're plane the wings are on

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Speaker 3: the bottom, so they could fly in higher winds. And

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Speaker 3: I said, okay, I'll call them, and you know, they said,

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Speaker 3: oh yeah, well we'll fly. And the wind was blown

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Speaker 3: so hard that when that plane took off into the wind,

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Speaker 3: it felt like the plane just went straight up in

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Speaker 3: the air like a helicopter and then turned around and

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Speaker 3: then we just got blown down to Juno, which usually

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Speaker 3: takes an hour, but it took us about twenty five minutes.

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Speaker 2: You just like lifted up and then rode the stream.

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Speaker 3: Yeah, like very close to the ocean, like we fly

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Speaker 3: over the ocean. It's wintertime. The ocean's probably about you know,

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Speaker 3: forty degrees, so it was Yeah, it was an eye

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Speaker 3: opening experience.

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Speaker 1: Right, that's so cool. I'm very scared of small planes

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Speaker 1: for for some reason, but I've been in like a

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Speaker 1: couple of them, and it's they really move around the

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Speaker 1: lot up there. Little planes are really Yeah, it turns

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Speaker 1: out those things are really going up and down quite

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Speaker 1: a bit.

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Speaker 3: But yeah, and we got some that land right on

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Speaker 3: the ocean right so the floatplanes are here. And so

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Speaker 3: the one time I took a floatplane, I went to

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Speaker 3: this village called Cassane, which has about forty sixty people.

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Speaker 3: Amazing village. And so the first time I was going there,

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Speaker 3: I flew to catch a can. So you take a

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Speaker 3: larger plane to catch a can. And then I was

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Speaker 3: going to get on the small floatplanes. And I get

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Speaker 3: on and we take off and we get in the

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Speaker 3: air and the pilot turns to me and he says,

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Speaker 3: so where's Casan? And I said, hey, you're the pilot. Man,

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Speaker 3: Like you are the pilot, you know you need to

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Speaker 3: And he's like, is it over by this place or

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Speaker 3: is it by that place? I was like, bro, I've

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Speaker 3: never been like this is this is literally your job.

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Speaker 1: It's just so much more casual. It's like an uber Yeah,

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Speaker 1: And he says, how do you want me to go

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Speaker 1: to Lax?

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Speaker 2: Yeah?

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Speaker 3: I think I remember, And he nailed it, he got it, so,

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Speaker 3: you know, good on him.

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Speaker 2: I just love that kind of confidence. So too, you're

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Speaker 2: up in the air. All right, So generally, where are

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Speaker 2: we going right now? Okay? Okay, yeah, I got I

358
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Speaker 2: gotta go, got it?

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Speaker 1: You are the pilot. What is something do you think

360
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Speaker 1: is overrated?

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Speaker 2: Okay?

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Speaker 3: So my overrated is using the term western in academics

363
00:18:17,880 --> 00:18:22,280
Speaker 3: and arts to code whiteness. And so people people do

364
00:18:22,359 --> 00:18:25,080
Speaker 3: this stuff like they'll say Western and Eastern, and this

365
00:18:25,200 --> 00:18:27,800
Speaker 3: becomes the sort of one thing or the other that

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00:18:27,840 --> 00:18:31,520
Speaker 3: you use to talk to, Yeah, like you know, Western

367
00:18:31,640 --> 00:18:35,000
Speaker 3: science and they'll say Western art or Western and use

368
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Speaker 3: and it's it's tough to get Yeah, it's tough to

369
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Speaker 3: get out of because for that if if there's Western

370
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Speaker 3: and Eastern, then what about Africa and what about Native Americans?

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Speaker 3: And what where do these things fit? And I think

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00:18:50,200 --> 00:18:53,080
Speaker 3: it's a way to sort of if we look at

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Speaker 3: how colonization entrenches and normalizes certain things, it does it

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Speaker 3: through these mechanisms to say, well, if it's not one

375
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Speaker 3: of these things and it doesn't fit, and so it's

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Speaker 3: something that we study instead of something that we it

377
00:19:06,560 --> 00:19:10,440
Speaker 3: becomes foundational to our own education. And this is one

378
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Speaker 3: of the reasons why I think people generally don't study

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Speaker 3: indigenous peoples. Like, if you graduate high school, do you

380
00:19:17,359 --> 00:19:19,520
Speaker 3: know the name of the people who lived where you

381
00:19:19,600 --> 00:19:23,399
Speaker 3: were or where you are and they're still there? Do

382
00:19:23,480 --> 00:19:26,000
Speaker 3: you know what their language is? You can you name

383
00:19:26,160 --> 00:19:30,680
Speaker 3: five people who have done historically significant things who are

384
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Speaker 3: indigenous to that particular place, you know? And I think

385
00:19:33,440 --> 00:19:35,800
Speaker 3: about these things everywhere I go, you know. And so

386
00:19:35,840 --> 00:19:38,960
Speaker 3: I think about this stuff as well, because colonization is

387
00:19:39,000 --> 00:19:43,840
Speaker 3: forever dehumanizing indigenous peoples. And one time someone asked me

388
00:19:43,840 --> 00:19:46,399
Speaker 3: for an example, I said, well, I went to a

389
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Speaker 3: gathering of high school government leaders from across the state

390
00:19:51,359 --> 00:19:56,120
Speaker 3: of Alaska. So these are probably high performing academic kids

391
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Speaker 3: who are you know, they're young, and so it's not

392
00:19:58,840 --> 00:20:01,920
Speaker 3: on them, but it is on their teachers, and it's

393
00:20:01,960 --> 00:20:04,159
Speaker 3: more so on the system. So I showed him a

394
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Speaker 3: picture of a guy named William Paul, and I said,

395
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Speaker 3: can anybody here tell me who this person is? And

396
00:20:09,680 --> 00:20:12,200
Speaker 3: there's about one hundred to one hundred and fifty people there,

397
00:20:12,200 --> 00:20:15,280
Speaker 3: including teachers from all these different schools, and not a

398
00:20:15,320 --> 00:20:17,720
Speaker 3: single person could tell me who that was. And I said, well,

399
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Speaker 3: this is a clinket man named William Paul. It is

400
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Speaker 3: Clinkett name was Shkundi, and he was the first Native America.

401
00:20:25,600 --> 00:20:28,520
Speaker 3: He's the first Alaskan Native to become an attorney. He

402
00:20:28,600 --> 00:20:32,040
Speaker 3: was the first Alaska Native to become a territorial legislator.

403
00:20:32,560 --> 00:20:36,639
Speaker 3: As an attorney, he gained Alaska Natives the right to vote.

404
00:20:36,840 --> 00:20:40,640
Speaker 3: And he also desegregated schools in Alaska in the nineteen twenties,

405
00:20:41,119 --> 00:20:44,200
Speaker 3: and then he initiated land claims efforts. And I said,

406
00:20:44,240 --> 00:20:46,720
Speaker 3: he did all of that stuff and nobody can usually

407
00:20:46,720 --> 00:20:48,320
Speaker 3: tell me who he is. And I said, could you

408
00:20:48,400 --> 00:20:52,879
Speaker 3: imagine going into a school in like Arkansas and putting

409
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Speaker 3: up a picture of Martin Luther King and if one

410
00:20:55,280 --> 00:20:57,639
Speaker 3: hundred people were there, nobody could tell you who it was.

411
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Speaker 3: And I said, that's what dehumanization is. We don't get

412
00:21:00,520 --> 00:21:03,080
Speaker 3: to be names and people and faces. We just get

413
00:21:03,080 --> 00:21:05,879
Speaker 3: to be this conglomerate of a thing. And so I

414
00:21:05,920 --> 00:21:09,280
Speaker 3: think if you start challenging yourself when you say western

415
00:21:09,920 --> 00:21:13,320
Speaker 3: just like colonial, and then you might sort of say, well,

416
00:21:13,320 --> 00:21:15,840
Speaker 3: that makes me uncomfortable, But then you might sort of

417
00:21:15,960 --> 00:21:19,720
Speaker 3: push your brain towards something that has diversity so that

418
00:21:19,760 --> 00:21:21,800
Speaker 3: you could say, oh, yeah, there's actually like a huge

419
00:21:21,840 --> 00:21:24,640
Speaker 3: plurality of things, and it doesn't have to fit into

420
00:21:24,680 --> 00:21:25,960
Speaker 3: these two boxes.

421
00:21:25,880 --> 00:21:28,600
Speaker 2: Right, Like is Western just being code for the established

422
00:21:28,640 --> 00:21:31,760
Speaker 2: colonial powers of Western Europe? And it's like, well, let's

423
00:21:31,960 --> 00:21:34,720
Speaker 2: let's tighten that up so we don't put that much information.

424
00:21:35,200 --> 00:21:36,919
Speaker 2: And yet to your point about Martin Luther King, I

425
00:21:36,920 --> 00:21:39,840
Speaker 2: mean like I feel like that is the slow pace

426
00:21:40,000 --> 00:21:43,440
Speaker 2: that like American society is kind of moving towards that

427
00:21:43,680 --> 00:21:45,760
Speaker 2: I'd imagine there are people like I would love in

428
00:21:45,840 --> 00:21:47,520
Speaker 2: fifty years to go into a room with one hundred

429
00:21:47,560 --> 00:21:49,040
Speaker 2: people and I put this picture up and they don't

430
00:21:49,040 --> 00:21:52,600
Speaker 2: know who that is, and yeah, yeah, that sort of

431
00:21:52,600 --> 00:21:56,240
Speaker 2: really resonates with how quickly your history can just be

432
00:21:56,760 --> 00:21:59,959
Speaker 2: disappeared like that in an instant, despite like the massive

433
00:22:00,080 --> 00:22:02,400
Speaker 2: contributions of the people that people have made.

434
00:22:03,200 --> 00:22:06,320
Speaker 1: Yeah, what is what's something you think is underrated?

435
00:22:06,800 --> 00:22:09,560
Speaker 3: So by underrated, there's a friend of mine named pat

436
00:22:09,640 --> 00:22:12,840
Speaker 3: Race who floated this idea here in Juno and so

437
00:22:13,480 --> 00:22:16,600
Speaker 3: it tax onto this idea of land back and language

438
00:22:16,600 --> 00:22:21,160
Speaker 3: back initiatives, which I think are wonderful, Like if if

439
00:22:21,480 --> 00:22:23,920
Speaker 3: city governments especially could just say, you know what, we've

440
00:22:23,960 --> 00:22:27,320
Speaker 3: got some land here, let's give a certain percentage of

441
00:22:27,320 --> 00:22:30,280
Speaker 3: our land base to the Native American tribe that's here.

442
00:22:30,720 --> 00:22:33,320
Speaker 3: Let's just give it back to the Native peoples because

443
00:22:33,320 --> 00:22:38,880
Speaker 3: there's no legal or rational claim to why people took

444
00:22:39,000 --> 00:22:41,959
Speaker 3: land from Native Americans, you know. And so what are

445
00:22:42,000 --> 00:22:46,800
Speaker 3: the difficulties with federal Indian law is Federal Indian law

446
00:22:46,960 --> 00:22:50,280
Speaker 3: is basically born on this concept that they are not

447
00:22:50,480 --> 00:22:53,600
Speaker 3: human beings, so they cannot own the land. So it's

448
00:22:53,800 --> 00:22:56,919
Speaker 3: it's ours, you know. And plus you add concepts to

449
00:22:56,960 --> 00:23:01,120
Speaker 3: that like manifest destiny, which is basically saying God sent

450
00:23:01,240 --> 00:23:04,360
Speaker 3: us here to save these people, and by saving them,

451
00:23:04,480 --> 00:23:06,560
Speaker 3: we're taking all of their stuff. That's that's what I

452
00:23:06,600 --> 00:23:08,760
Speaker 3: mean by saving that, right, right. And so it's like

453
00:23:08,800 --> 00:23:10,359
Speaker 3: if I came into your kitchen, it was just like

454
00:23:10,440 --> 00:23:13,600
Speaker 3: loading up all your food into a bag and you're.

455
00:23:13,440 --> 00:23:14,320
Speaker 2: Like what you hate?

456
00:23:14,359 --> 00:23:17,199
Speaker 3: What are you doing? Like, well, I'm saving you. I

457
00:23:17,240 --> 00:23:18,920
Speaker 3: am really, I'm helping you out here.

458
00:23:18,960 --> 00:23:20,520
Speaker 2: You don't know how to use this like I do,

459
00:23:21,080 --> 00:23:22,000
Speaker 2: so I'm saving you.

460
00:23:22,320 --> 00:23:24,640
Speaker 3: Yeah, you weren't even using this, so you weren't making

461
00:23:24,720 --> 00:23:26,480
Speaker 3: use of it the way I envision how it should

462
00:23:26,480 --> 00:23:26,800
Speaker 3: be used.

463
00:23:26,880 --> 00:23:27,000
Speaker 2: Right.

464
00:23:27,040 --> 00:23:29,119
Speaker 3: So one of the ways that this can can work

465
00:23:29,240 --> 00:23:31,760
Speaker 3: is I don't think land back and language back should

466
00:23:31,800 --> 00:23:35,320
Speaker 3: be just the burden of Indigenous peoples. And so this

467
00:23:35,359 --> 00:23:38,199
Speaker 3: is going to be the really hard part. Is so

468
00:23:38,320 --> 00:23:41,000
Speaker 3: let's say you have a property tax or you have

469
00:23:41,040 --> 00:23:44,160
Speaker 3: a sales tax in your community, so you either raise

470
00:23:44,200 --> 00:23:45,840
Speaker 3: it a bit or you just take a chunk of

471
00:23:45,880 --> 00:23:48,520
Speaker 3: that and say this goes back towards land back and

472
00:23:48,600 --> 00:23:52,679
Speaker 3: language back initiatives, which means when it reaches a certain point,

473
00:23:52,920 --> 00:23:56,359
Speaker 3: we'll work with the local tribal leaders of the Native

474
00:23:56,359 --> 00:23:59,320
Speaker 3: American tribe there and we will let them select a

475
00:23:59,359 --> 00:24:01,600
Speaker 3: parcel of life and to purchase back, and we'll pay

476
00:24:01,640 --> 00:24:03,600
Speaker 3: for it, and we'll say there you go. That's and

477
00:24:03,640 --> 00:24:07,160
Speaker 3: we start accumulating a land base with Native American peoples.

478
00:24:07,200 --> 00:24:10,280
Speaker 3: Because if we look at global warming, if we look

479
00:24:10,359 --> 00:24:13,119
Speaker 3: at the climate crisis, if we look at pollution, if

480
00:24:13,119 --> 00:24:17,000
Speaker 3: we look at all these other things, that there's two

481
00:24:17,080 --> 00:24:19,280
Speaker 3: things that are really on a parallel. This is really

482
00:24:19,480 --> 00:24:24,080
Speaker 3: kind of scary stuff at this particular time. The number

483
00:24:24,080 --> 00:24:26,560
Speaker 3: of species that are going extinct or at such a

484
00:24:26,640 --> 00:24:29,760
Speaker 3: high rate that we'll never know how many species that

485
00:24:29,800 --> 00:24:32,480
Speaker 3: there are right now, but there'll always be less than

486
00:24:32,520 --> 00:24:35,000
Speaker 3: there are right now. The same thing can be said

487
00:24:35,000 --> 00:24:38,600
Speaker 3: with languages. We'll never there's about seven thousand languages, but

488
00:24:38,760 --> 00:24:41,920
Speaker 3: will never actually know how many because they're going extinct

489
00:24:41,920 --> 00:24:44,040
Speaker 3: at a rate faster than we could keep track of them.

490
00:24:44,600 --> 00:24:47,720
Speaker 3: And so if we look at land back and language back,

491
00:24:47,760 --> 00:24:51,280
Speaker 3: so the land back portions like take a chunk of

492
00:24:51,320 --> 00:24:54,560
Speaker 3: money by land, give it to Native American peoples if

493
00:24:54,560 --> 00:24:56,720
Speaker 3: you have land. For example, the town that I was

494
00:24:56,760 --> 00:25:00,760
Speaker 3: born in, Skagway, Alaska, which we call Shuckwey, there's a

495
00:25:00,840 --> 00:25:04,280
Speaker 3: chunk of land that the Catholic Church owned, and the

496
00:25:04,320 --> 00:25:07,399
Speaker 3: Catholic Church had a Native American boarding school there. And

497
00:25:07,480 --> 00:25:10,159
Speaker 3: a boarding school was a place where Native American children

498
00:25:10,200 --> 00:25:13,800
Speaker 3: were sent, usually against their parents will, and they were

499
00:25:13,880 --> 00:25:16,560
Speaker 3: forced to speak English, and they were beaten for speaking

500
00:25:16,600 --> 00:25:19,520
Speaker 3: their own language, and they were usually punished, and their

501
00:25:19,640 --> 00:25:22,840
Speaker 3: labor camps they weren't really given So in some places

502
00:25:22,840 --> 00:25:25,080
Speaker 3: they were given a decent education, but a lot of

503
00:25:25,080 --> 00:25:28,040
Speaker 3: places it was all about assimilation and killing off their

504
00:25:28,080 --> 00:25:32,520
Speaker 3: own culture and language. So if the Catholic Church had

505
00:25:32,680 --> 00:25:37,639
Speaker 3: a bit of a consciousness that was thinking about doing

506
00:25:37,720 --> 00:25:41,160
Speaker 3: the greater good and thinking about what did we do

507
00:25:41,359 --> 00:25:45,080
Speaker 3: in our history that has caused harm, they would have

508
00:25:45,160 --> 00:25:47,119
Speaker 3: contacted the tribe and say we'd like to give you

509
00:25:47,160 --> 00:25:50,160
Speaker 3: this land because it was a boarding school and maybe

510
00:25:50,160 --> 00:25:51,920
Speaker 3: you could build a school on it that will help

511
00:25:51,960 --> 00:25:55,280
Speaker 3: your language, right, But instead they struck a deal with

512
00:25:55,320 --> 00:25:57,679
Speaker 3: the city to say we'll sell it to the city

513
00:25:58,119 --> 00:25:59,840
Speaker 3: and the city will do it on the condition that

514
00:25:59,840 --> 00:26:02,119
Speaker 3: the tribe can never put in a claim that they

515
00:26:02,160 --> 00:26:05,880
Speaker 3: should have that land, right, And so they instead conspired

516
00:26:05,960 --> 00:26:08,880
Speaker 3: to shut the tribe out. And so I think what

517
00:26:09,000 --> 00:26:11,359
Speaker 3: cities should be doing is trying to find land that

518
00:26:11,359 --> 00:26:13,800
Speaker 3: they could give to Native American tribes. Then I think

519
00:26:13,840 --> 00:26:16,480
Speaker 3: they should be taxing the people who live there to

520
00:26:16,600 --> 00:26:22,080
Speaker 3: help them buy land back and defund language revitalization programs,

521
00:26:22,520 --> 00:26:26,560
Speaker 3: because everywhere you go in North America there's probably an

522
00:26:26,640 --> 00:26:30,560
Speaker 3: endangered Native American language, and it's endangered because of colonization.

523
00:26:31,119 --> 00:26:34,720
Speaker 3: So now everyone who benefits from that should be able

524
00:26:34,760 --> 00:26:39,240
Speaker 3: to contribute something to the restoration of these languages and

525
00:26:39,520 --> 00:26:41,440
Speaker 3: the land of peoples.

526
00:26:41,560 --> 00:26:44,639
Speaker 2: It's wild, like you know, right now, I feel like

527
00:26:44,640 --> 00:26:47,200
Speaker 2: there's so many there are these like parallel movements with

528
00:26:47,320 --> 00:26:50,240
Speaker 2: like land back and language back and also talking about reparations.

529
00:26:50,640 --> 00:26:54,520
Speaker 2: And I'd imagine the pushback is probably similar to like

530
00:26:54,560 --> 00:26:56,680
Speaker 2: what you hear about reparations, just like why had nothing

531
00:26:56,720 --> 00:26:59,760
Speaker 2: to do with that? So why do I need to

532
00:27:00,240 --> 00:27:04,159
Speaker 2: And I mean, I get that the situation of what

533
00:27:04,320 --> 00:27:07,840
Speaker 2: racism and chattel slavery is under black people has effects,

534
00:27:07,880 --> 00:27:09,520
Speaker 2: but that had nothing to do with me. And I

535
00:27:09,560 --> 00:27:11,399
Speaker 2: think that's just too much money for one person to

536
00:27:11,400 --> 00:27:14,840
Speaker 2: get it. That's not fair, is that. I'd imagine those

537
00:27:14,920 --> 00:27:17,840
Speaker 2: the same criticisms are levied at any you know, any

538
00:27:17,880 --> 00:27:21,520
Speaker 2: kind of movement or you know, push to try and

539
00:27:21,560 --> 00:27:23,760
Speaker 2: give any kind of land back or is it or

540
00:27:23,760 --> 00:27:25,840
Speaker 2: are people just straight up just kind of being like wait,

541
00:27:25,880 --> 00:27:28,280
Speaker 2: what for who?

542
00:27:29,320 --> 00:27:32,159
Speaker 3: It kind of varies like it depends like that for

543
00:27:32,240 --> 00:27:35,200
Speaker 3: some places you go, like you might have a certain

544
00:27:35,240 --> 00:27:38,879
Speaker 3: number of the population that's kind of they kind of

545
00:27:38,920 --> 00:27:41,360
Speaker 3: get it right. But one of the things I think

546
00:27:41,359 --> 00:27:43,520
Speaker 3: that you were talking about a little earlier is how

547
00:27:43,560 --> 00:27:46,399
Speaker 3: there is a push to just never look at this

548
00:27:46,560 --> 00:27:50,040
Speaker 3: history right, so it's like basically out locked from textbooks.

549
00:27:50,040 --> 00:27:53,480
Speaker 3: Like yeah, I could see a future probably in Florida

550
00:27:53,720 --> 00:27:57,600
Speaker 3: where you say, you cannot say people took land from

551
00:27:57,680 --> 00:28:00,640
Speaker 3: Native Americans, like that's illegal to put into a textbook,

552
00:28:00,640 --> 00:28:04,200
Speaker 3: Like that's probably something that's coming and you cannot say slavery,

553
00:28:04,240 --> 00:28:05,600
Speaker 3: and actually it shouldn't.

554
00:28:05,240 --> 00:28:07,840
Speaker 2: Be kept reading this article, yeah, and.

555
00:28:07,840 --> 00:28:10,040
Speaker 3: I was reading this article says well, you shouldn't say slavery,

556
00:28:10,040 --> 00:28:13,080
Speaker 3: you should just say human trafficking, right, because even the

557
00:28:13,160 --> 00:28:16,720
Speaker 3: term slavery has been just sort of numbed. It's just

558
00:28:16,760 --> 00:28:19,000
Speaker 3: sort of number like, oh, yeah, there was there was slavery,

559
00:28:19,080 --> 00:28:21,560
Speaker 3: you know. And so but one of the things, I

560
00:28:21,640 --> 00:28:24,159
Speaker 3: think there's a push from people who don't want to

561
00:28:24,200 --> 00:28:28,359
Speaker 3: examine these histories to call it like labor, right, they

562
00:28:28,359 --> 00:28:33,280
Speaker 3: were laborers, and so yeah, as we look at reparations

563
00:28:33,320 --> 00:28:35,840
Speaker 3: and we look at land back and we look at

564
00:28:35,920 --> 00:28:39,760
Speaker 3: language back, it's it's difficult to push through people who

565
00:28:40,760 --> 00:28:43,360
Speaker 3: who just want everything to maintain the way it is,

566
00:28:43,480 --> 00:28:46,360
Speaker 3: because they say, I have the privilege, I have the power.

567
00:28:46,400 --> 00:28:48,880
Speaker 3: I mean I consciously think of that, but why would

568
00:28:48,920 --> 00:28:53,400
Speaker 3: I want to share? Because sharing, I think is definitely

569
00:28:53,480 --> 00:28:56,840
Speaker 3: not an American value in terms of like if you

570
00:28:56,840 --> 00:28:59,600
Speaker 3: go back to the forefathers or whatever that people like

571
00:28:59,600 --> 00:29:03,440
Speaker 3: to talk about. I don't think that compassion and sharing

572
00:29:03,600 --> 00:29:06,880
Speaker 3: and helping each other are true value. I think the

573
00:29:06,960 --> 00:29:11,040
Speaker 3: values are really like taking and acquiring and securing your

574
00:29:11,120 --> 00:29:13,719
Speaker 3: own and so one of the difficulties is if we

575
00:29:13,800 --> 00:29:16,480
Speaker 3: don't sort of talk about that, then we have a

576
00:29:16,520 --> 00:29:19,120
Speaker 3: difficult time talking about what the alternative could be, which

577
00:29:19,160 --> 00:29:22,160
Speaker 3: is really to share. And it's sort of like going

578
00:29:22,160 --> 00:29:25,120
Speaker 3: against a billionaire mentality. It's like, hey, you know, you've

579
00:29:25,120 --> 00:29:28,680
Speaker 3: got like so much, maybe maybe you should just stop

580
00:29:29,120 --> 00:29:32,160
Speaker 3: and then let other people get some. But it's it's

581
00:29:32,160 --> 00:29:32,640
Speaker 3: too hungry.

582
00:29:32,720 --> 00:29:35,400
Speaker 2: But it's precisely that thinking that is also the cause

583
00:29:35,440 --> 00:29:39,280
Speaker 2: of so much discomfort that people aren't realizing either, is

584
00:29:39,320 --> 00:29:42,560
Speaker 2: this disconnected is because we live in like the way

585
00:29:42,600 --> 00:29:44,960
Speaker 2: that our values are reflected back to us is you

586
00:29:45,440 --> 00:29:49,400
Speaker 2: get yours, and you get yours and fuck everybody else

587
00:29:49,400 --> 00:29:51,760
Speaker 2: because you've got to get yours. And part of that

588
00:29:51,880 --> 00:29:54,520
Speaker 2: is we feel so disconnected. We feel disconnected from we do,

589
00:29:54,560 --> 00:29:57,400
Speaker 2: We feel disconnected from the places we live. Rather than

590
00:29:57,440 --> 00:30:01,120
Speaker 2: realizing like the best times that if you feel like

591
00:30:01,160 --> 00:30:03,120
Speaker 2: alive is truly like when you feel like you are

592
00:30:03,120 --> 00:30:06,080
Speaker 2: connected to the people around you, to the community, you're into,

593
00:30:06,080 --> 00:30:08,880
Speaker 2: the land you live on, all of the like all

594
00:30:08,920 --> 00:30:10,880
Speaker 2: of those things come together. But yeah, we just like

595
00:30:10,920 --> 00:30:13,800
Speaker 2: live and have such an antithetical mentality to that and

596
00:30:13,840 --> 00:30:16,880
Speaker 2: still are just like, oh god, I hate this damn matrix.

597
00:30:18,040 --> 00:30:21,880
Speaker 3: Yeah yeah, and it's the matrix, right, and it stuck.

598
00:30:21,960 --> 00:30:24,080
Speaker 3: There's nothing we could do shut if we could have

599
00:30:24,160 --> 00:30:27,320
Speaker 3: done something different. And I think another thing that's like

600
00:30:27,360 --> 00:30:30,640
Speaker 3: a subsurface thing is like when we talk about declonization,

601
00:30:31,240 --> 00:30:34,080
Speaker 3: we talk about reparations, and we talk about trying to

602
00:30:34,080 --> 00:30:37,200
Speaker 3: make things a little bit closer to right. I think

603
00:30:37,280 --> 00:30:40,440
Speaker 3: some people think, oh, now it's my turn for slavery.

604
00:30:40,600 --> 00:30:43,080
Speaker 3: Oh now you're going to take my land, right, And

605
00:30:43,120 --> 00:30:45,800
Speaker 3: now you've just been waiting to do this thing to

606
00:30:45,920 --> 00:30:49,080
Speaker 3: me that I know in my brain my ancestors did

607
00:30:49,120 --> 00:30:52,240
Speaker 3: to your ancestors. But it's really that's not the conversation.

608
00:30:52,480 --> 00:30:55,360
Speaker 3: Like when we say decolonization, we're not talking about buying

609
00:30:55,360 --> 00:30:57,800
Speaker 3: tickets for all the white people to leave. You know,

610
00:30:57,840 --> 00:31:03,960
Speaker 3: we're talking about, right, We're talking about decentering whiteness to say, like,

611
00:31:04,120 --> 00:31:06,320
Speaker 3: you know, there could be other things in the.

612
00:31:06,280 --> 00:31:09,360
Speaker 2: Middle, right, And part of that and part of like

613
00:31:09,560 --> 00:31:12,080
Speaker 2: healing not just for the people that have been on

614
00:31:12,120 --> 00:31:15,520
Speaker 2: the shitty end of those transgressions, but for the transgressors,

615
00:31:15,720 --> 00:31:19,200
Speaker 2: is to connect to that humanity and offer a hand

616
00:31:19,280 --> 00:31:21,800
Speaker 2: and say, you know what, my batteries charged at one

617
00:31:21,880 --> 00:31:25,640
Speaker 2: hundred percent y'all's is at like two percent. Let me

618
00:31:25,680 --> 00:31:28,320
Speaker 2: give y'all forty percent, and then we can all kind

619
00:31:28,320 --> 00:31:30,600
Speaker 2: of get to some level where we all feel that

620
00:31:30,640 --> 00:31:33,000
Speaker 2: we're I don't know, at least helping each other. But yeah,

621
00:31:33,040 --> 00:31:33,680
Speaker 2: I totally feel that.

622
00:31:35,080 --> 00:31:36,959
Speaker 1: All right, should we take a break and come back

623
00:31:37,000 --> 00:31:38,640
Speaker 1: and talk about how we're all living in the matrix?

624
00:31:38,920 --> 00:31:43,160
Speaker 1: Hell yeah, bro, hell yeah brother, all right, we'll be right.

625
00:31:43,040 --> 00:31:55,640
Speaker 4: Back, and we're back.

626
00:31:55,800 --> 00:31:56,400
Speaker 2: We're back.

627
00:31:56,920 --> 00:31:58,280
Speaker 1: You know, every once in a while, we like to

628
00:31:58,280 --> 00:32:01,480
Speaker 1: look over at truth social just to see read the

629
00:32:01,520 --> 00:32:04,120
Speaker 1: tea leaves. You don't even have to read the words.

630
00:32:04,120 --> 00:32:05,840
Speaker 1: You just have to like kind of look at the

631
00:32:06,120 --> 00:32:10,920
Speaker 1: sheer like tonnage of text that yeah, Trump is producing

632
00:32:11,000 --> 00:32:14,320
Speaker 1: on truth and you like get the sense that, okay,

633
00:32:14,360 --> 00:32:18,400
Speaker 1: the Richter scale in his brain indicates that an earthquake

634
00:32:18,480 --> 00:32:21,360
Speaker 1: is coming and that an indictment might be on its way.

635
00:32:21,760 --> 00:32:24,880
Speaker 1: So so we're picking up those signals. Yeah, some media

636
00:32:24,920 --> 00:32:26,640
Speaker 1: I think, Yeah.

637
00:32:26,320 --> 00:32:28,520
Speaker 2: It's you gotta put your ear down. You got to

638
00:32:28,560 --> 00:32:31,160
Speaker 2: see what's going on. We hear rumbling, you know, is

639
00:32:31,200 --> 00:32:34,320
Speaker 2: it gonna be Georgia where the Fulton County da fani

640
00:32:34,400 --> 00:32:37,680
Speaker 2: willis that grand jury investigation seems to be at the

641
00:32:38,200 --> 00:32:40,840
Speaker 2: here's your indictment phase, so could be there. And it's

642
00:32:40,880 --> 00:32:42,600
Speaker 2: been clear for the last couple of weeks that Trump

643
00:32:42,640 --> 00:32:46,520
Speaker 2: has been freaking out over that specific investigation, considering that

644
00:32:46,560 --> 00:32:48,600
Speaker 2: he went all the way to the Georgia Supreme Court

645
00:32:48,640 --> 00:32:52,480
Speaker 2: to essentially like attempt to have Willis disqualified and then

646
00:32:52,800 --> 00:32:55,760
Speaker 2: tried to prevent any of the evidence that was found

647
00:32:55,800 --> 00:32:58,520
Speaker 2: in the grand jury report like being presented to a jury,

648
00:32:58,640 --> 00:33:00,760
Speaker 2: like don't do it, don't let her do it, and

649
00:33:00,840 --> 00:33:03,600
Speaker 2: nothing that she learned can't be presented to anyone during

650
00:33:03,600 --> 00:33:07,400
Speaker 2: a trial. They luckily, the Supreme Court unanimously told him

651
00:33:07,400 --> 00:33:11,440
Speaker 2: to eat fuck. So we have that. So now we are,

652
00:33:11,680 --> 00:33:13,440
Speaker 2: you know, we're in the like we were seeing some

653
00:33:14,080 --> 00:33:16,640
Speaker 2: late night truth social screams, rather this time this kind

654
00:33:16,640 --> 00:33:19,440
Speaker 2: of came in the morning. But he's saying I'm getting

655
00:33:19,480 --> 00:33:22,480
Speaker 2: indicted and it's not quite Georgia time. It sounds like

656
00:33:22,640 --> 00:33:25,120
Speaker 2: Jack Smith has got another one for Trump, and this

657
00:33:25,240 --> 00:33:28,160
Speaker 2: time for trying to subvert the twenty twenty election as

658
00:33:28,160 --> 00:33:30,840
Speaker 2: we all saw. And I'm just we're just going off

659
00:33:31,000 --> 00:33:34,280
Speaker 2: the sheer, like Jack said, the tonnage of this truth

660
00:33:34,320 --> 00:33:36,960
Speaker 2: tweet or whatever truth that he is going to be

661
00:33:37,000 --> 00:33:39,240
Speaker 2: indicted because he always has a freak out pre indictment,

662
00:33:39,640 --> 00:33:42,360
Speaker 2: and rather than like just typing, I guess the character

663
00:33:42,720 --> 00:33:45,880
Speaker 2: count was not set to like I'm so fucked, so

664
00:33:45,960 --> 00:33:48,440
Speaker 2: he had to just export a PDF of a word

665
00:33:48,480 --> 00:33:51,480
Speaker 2: document and upload that and it's so long. I don't

666
00:33:51,480 --> 00:33:54,240
Speaker 2: even know where to start. I don't want to start.

667
00:33:54,040 --> 00:33:54,200
Speaker 4: But.

668
00:33:55,880 --> 00:33:58,320
Speaker 2: I'll just say, well, on Sunday night, wells with my

669
00:33:58,360 --> 00:34:00,720
Speaker 2: family having just arrived from the Turney point of vanm Florida,

670
00:34:00,760 --> 00:34:03,479
Speaker 2: where I saw straw poll. Like again, it's nonsense. He's

671
00:34:03,520 --> 00:34:06,880
Speaker 2: talking about first paragraph, they love me in the polls,

672
00:34:07,360 --> 00:34:11,080
Speaker 2: and then he finds out horrifying news for our country

673
00:34:11,160 --> 00:34:14,080
Speaker 2: was given to me by my attorneys, the durained Jack Smith,

674
00:34:14,120 --> 00:34:17,839
Speaker 2: the prosecutor for Joe Biden's jeep, blah blah blah, and

675
00:34:17,880 --> 00:34:20,520
Speaker 2: it goes on for like this is only page one

676
00:34:20,800 --> 00:34:23,040
Speaker 2: of the truth. I didn't even put the other fucking

677
00:34:23,640 --> 00:34:28,000
Speaker 2: word doc that he posted. So he's freaking out. But

678
00:34:28,120 --> 00:34:30,600
Speaker 2: again I don't know. I'm like, can one of these

679
00:34:30,680 --> 00:34:33,680
Speaker 2: just fucking stick already? Because it almost feels like the

680
00:34:33,719 --> 00:34:37,080
Speaker 2: more indictments he faces that somehow there's like a higher

681
00:34:37,200 --> 00:34:40,320
Speaker 2: chance of him walking because like the sheer volume of

682
00:34:40,440 --> 00:34:41,920
Speaker 2: is I don't know which woman to do. Man, It's like,

683
00:34:41,920 --> 00:34:44,319
Speaker 2: these are all these indictments. Can't I just go home?

684
00:34:44,680 --> 00:34:46,080
Speaker 2: But I don't know. That's what it feels like. When

685
00:34:46,120 --> 00:34:48,480
Speaker 2: we just see more and more, it's like, yeah, okay, okay,

686
00:34:48,600 --> 00:34:51,560
Speaker 2: and come on, let's get to the fucking find out

687
00:34:51,600 --> 00:34:52,320
Speaker 2: phase please?

688
00:34:52,880 --> 00:34:56,960
Speaker 1: Yeah yeah, yeah, more on that later if we get it.

689
00:34:57,040 --> 00:35:01,200
Speaker 1: He did this, nobody cares, seems to be my concern.

690
00:35:01,280 --> 00:35:05,479
Speaker 1: That's my concern, right that it's just like, but we've

691
00:35:05,480 --> 00:35:08,319
Speaker 1: seen him walk before, And the more of these we

692
00:35:08,360 --> 00:35:13,840
Speaker 1: hear about, the more normalized the fact that a former

693
00:35:13,880 --> 00:35:18,200
Speaker 1: president and you know, the likely Republican nominee is is

694
00:35:18,239 --> 00:35:20,760
Speaker 1: going to be indicted, Like the more that seems normal,

695
00:35:21,160 --> 00:35:24,000
Speaker 1: But like, I don't think that's how the law works.

696
00:35:24,320 --> 00:35:28,879
Speaker 1: Like I think, you know, he's gonna actually have to face.

697
00:35:28,840 --> 00:35:32,520
Speaker 2: We're a victual charges. We're testing the very limits of

698
00:35:32,560 --> 00:35:35,520
Speaker 2: whiteness with these indictments, That's what I do know. And

699
00:35:35,560 --> 00:35:39,120
Speaker 2: we'll see what happens under this stress test if somehow

700
00:35:39,160 --> 00:35:43,600
Speaker 2: his complexion will allow him to subvert elections, steal documents,

701
00:35:44,000 --> 00:35:46,360
Speaker 2: uh and all those other things. Wow.

702
00:35:46,960 --> 00:35:49,680
Speaker 3: Yeah, And I'll just say if I was the word truth,

703
00:35:50,239 --> 00:35:52,319
Speaker 3: I'm just so pissed off right now.

704
00:35:52,400 --> 00:35:53,000
Speaker 2: I would I would.

705
00:35:53,160 --> 00:35:56,919
Speaker 3: I would sue his ass for just ruining my good name.

706
00:35:57,520 --> 00:35:58,480
Speaker 2: Take a truth.

707
00:35:58,680 --> 00:36:00,600
Speaker 3: Truth social really.

708
00:36:00,920 --> 00:36:01,680
Speaker 4: Yeah.

709
00:36:01,719 --> 00:36:04,040
Speaker 2: Oh see that's where we need, Like, wherever there's that

710
00:36:04,080 --> 00:36:07,040
Speaker 2: citizens united case, words need to be people that can

711
00:36:07,120 --> 00:36:10,080
Speaker 2: sue and also have a vote. Yeah, because I would

712
00:36:10,120 --> 00:36:11,560
Speaker 2: love to see truth come around to be like, no,

713
00:36:11,680 --> 00:36:15,520
Speaker 2: this is nonsense, but hey, this is It's a very

714
00:36:15,719 --> 00:36:19,600
Speaker 2: well constructed grift by having your website be called truth. Yeah.

715
00:36:19,680 --> 00:36:24,480
Speaker 3: And it's really interesting because like there's so much evidence

716
00:36:24,520 --> 00:36:28,360
Speaker 3: and I think he even said before he was elected,

717
00:36:28,440 --> 00:36:31,800
Speaker 3: like I could shoot somebody in the street and I

718
00:36:31,840 --> 00:36:34,279
Speaker 3: would get away with it, right, And I kind of

719
00:36:34,320 --> 00:36:36,759
Speaker 3: believe that, you know, just because he's white and he's

720
00:36:36,800 --> 00:36:39,560
Speaker 3: a bill you know, a billionaire. He's a rich white person,

721
00:36:39,680 --> 00:36:42,759
Speaker 3: and like they don't always come for them, and so

722
00:36:43,360 --> 00:36:46,279
Speaker 3: but it's starting to stack up and it's starting, you know,

723
00:36:46,760 --> 00:36:47,560
Speaker 3: it's not bad.

724
00:36:47,600 --> 00:36:50,759
Speaker 1: For a long time, there was Yeah, there was an

725
00:36:50,800 --> 00:36:54,359
Speaker 1: implied watch this after he said that, Yeah, right right,

726
00:36:54,400 --> 00:36:56,799
Speaker 1: I could shoot someone and get away with it. Watch this.

727
00:36:58,400 --> 00:36:59,840
Speaker 1: Watch what I'm about to get away with?

728
00:37:00,120 --> 00:37:04,279
Speaker 2: Yeah, it's gonna be Yeah, it's again we're testing the

729
00:37:04,320 --> 00:37:06,520
Speaker 2: limits of what his privilege can do. But I mean,

730
00:37:06,800 --> 00:37:09,840
Speaker 2: that's why I'm hoping that these are like these aren't

731
00:37:09,880 --> 00:37:12,399
Speaker 2: just like, oh, you dodged your taxes like some white

732
00:37:12,400 --> 00:37:15,960
Speaker 2: collar crime. This is I don't know whatever. Again, I've

733
00:37:15,960 --> 00:37:18,080
Speaker 2: seen this country do all kinds of wacky shit to

734
00:37:18,480 --> 00:37:22,759
Speaker 2: preserve the status quo. So who knows, maybe we will

735
00:37:22,800 --> 00:37:24,960
Speaker 2: see him get a favorable outcome here.

736
00:37:26,239 --> 00:37:28,719
Speaker 1: It's a lot he's gonna need a lot of favorable outcomes.

737
00:37:28,719 --> 00:37:30,160
Speaker 1: It seems to be the direction that.

738
00:37:30,640 --> 00:37:33,239
Speaker 2: Well, he's already begging like the like the court and

739
00:37:33,280 --> 00:37:35,640
Speaker 2: floor to be like, can we just like push my

740
00:37:35,760 --> 00:37:40,400
Speaker 2: documents case to like I don't know, fucking never, like

741
00:37:40,920 --> 00:37:44,879
Speaker 2: literally yeah, they're like, uh no, what do you mean?

742
00:37:45,040 --> 00:37:48,040
Speaker 2: Like cause the judge Cannon was like, okay, we got

743
00:37:48,040 --> 00:37:50,520
Speaker 2: a mid August date, and the DOJ came and said,

744
00:37:50,560 --> 00:37:53,440
Speaker 2: you know what, let's give him four more months. We'll

745
00:37:53,480 --> 00:37:55,719
Speaker 2: do it in December to try and preempt like it's

746
00:37:55,760 --> 00:37:58,440
Speaker 2: too soon thing. And to that he was like, oh no.

747
00:37:58,480 --> 00:38:00,680
Speaker 2: The lawyer's like it's just unprecedented. He's gonna be running

748
00:38:00,680 --> 00:38:03,320
Speaker 2: for it has to be at least after the election

749
00:38:03,560 --> 00:38:06,279
Speaker 2: or who knows, you know, if ever, but you know

750
00:38:06,480 --> 00:38:06,919
Speaker 2: he's trying.

751
00:38:07,480 --> 00:38:11,359
Speaker 1: It is interesting. I do feel like he is particularly

752
00:38:11,600 --> 00:38:15,359
Speaker 1: vulnerable now because his entire career is built on him

753
00:38:15,360 --> 00:38:17,759
Speaker 1: doing blatantly illegal stuff, just being like no, I won't

754
00:38:17,800 --> 00:38:20,959
Speaker 1: pay you, then getting into legal battles with people and

755
00:38:21,400 --> 00:38:26,120
Speaker 1: just dragging it out and like winning via pure shamelessness

756
00:38:26,120 --> 00:38:31,400
Speaker 1: and being wealthy privileged enough to you know, outspend outspend

757
00:38:31,480 --> 00:38:35,880
Speaker 1: the person. I feel like we're probably seeing something happen

758
00:38:36,040 --> 00:38:39,480
Speaker 1: like where he seems as isolated from reality as probably

759
00:38:39,480 --> 00:38:43,400
Speaker 1: he's ever been because he just spends his entire day

760
00:38:43,640 --> 00:38:47,080
Speaker 1: getting his ass kicked by people who think he's somewhere

761
00:38:47,239 --> 00:38:52,040
Speaker 1: between like a business genius and a like godhead messiah, right,

762
00:38:52,080 --> 00:38:55,680
Speaker 1: And so I do feel like he's pretty vulnerable at

763
00:38:55,680 --> 00:38:59,879
Speaker 1: this point, and like the the legal strategies that he's

764
00:39:00,160 --> 00:39:02,600
Speaker 1: coming up with seemed to be things that are just

765
00:39:02,640 --> 00:39:04,160
Speaker 1: like based I'm wishful thinking.

766
00:39:04,200 --> 00:39:06,439
Speaker 2: Yeah, or it's like that moment I remember, like when

767
00:39:06,800 --> 00:39:08,560
Speaker 2: my mom would be like, you're gonna get pimples from

768
00:39:08,600 --> 00:39:10,480
Speaker 2: eating so much sugar, because like I would break out

769
00:39:10,480 --> 00:39:11,799
Speaker 2: a lot when I was a kid from eating like

770
00:39:11,800 --> 00:39:13,759
Speaker 2: That's why my mom was like, have you been like

771
00:39:13,880 --> 00:39:15,960
Speaker 2: sneaking a bunch of sugar? Because then I'm like, no,

772
00:39:16,040 --> 00:39:18,640
Speaker 2: I don't know. And for a while I was able

773
00:39:18,680 --> 00:39:20,440
Speaker 2: to eat a lot of sugar and not have my

774
00:39:20,520 --> 00:39:22,920
Speaker 2: face break out. And I remember that moment happened. It

775
00:39:22,960 --> 00:39:24,640
Speaker 2: was causing like I feel, I don't know if this

776
00:39:24,719 --> 00:39:26,319
Speaker 2: is like Donald Trump. But then you're like, oh shit,

777
00:39:26,360 --> 00:39:29,000
Speaker 2: I'm mortal to a much lesser degree and I'm just

778
00:39:29,000 --> 00:39:30,479
Speaker 2: talking about my skin.

779
00:39:30,560 --> 00:39:33,319
Speaker 1: An that's so funny. My dad thought soda caused his

780
00:39:33,400 --> 00:39:35,080
Speaker 1: acne when he was in He.

781
00:39:35,080 --> 00:39:40,400
Speaker 2: Was like like Boomer loom right, yea. Everyone was like, oh,

782
00:39:40,440 --> 00:39:42,560
Speaker 2: you're gonna get pimples from sugar.

783
00:39:42,680 --> 00:39:45,360
Speaker 1: Working at this grocery store when I was twelve and

784
00:39:45,440 --> 00:39:48,319
Speaker 1: I got free soda pop and then like, you know,

785
00:39:48,440 --> 00:39:50,160
Speaker 1: I got a bunch of acne because I was drinking

786
00:39:50,160 --> 00:39:50,800
Speaker 1: too much soda.

787
00:39:50,840 --> 00:39:54,719
Speaker 2: How old are you twelve? Okay? And then maybe that

788
00:39:54,760 --> 00:39:55,640
Speaker 2: was around puberty.

789
00:39:55,719 --> 00:39:57,760
Speaker 1: Also, no, no, no, no, no, no.

790
00:39:58,000 --> 00:40:01,040
Speaker 2: Puber what no Huber? Not that all right?

791
00:40:01,280 --> 00:40:03,279
Speaker 1: Well, we like to feel like we're in control of

792
00:40:03,320 --> 00:40:05,800
Speaker 1: our own breakouts, don't we. We like to think that it's,

793
00:40:06,239 --> 00:40:09,040
Speaker 1: you know, something we're doing to cause it we like

794
00:40:09,080 --> 00:40:13,480
Speaker 1: to feel like we're in control of our reality. Yeah,

795
00:40:13,520 --> 00:40:18,759
Speaker 1: and there's a new trend trend on TikTok that is

796
00:40:18,960 --> 00:40:23,560
Speaker 1: convinced that we're all living in the matrix. I watched

797
00:40:23,719 --> 00:40:27,160
Speaker 1: these videos and immediately saw the appeal. So I am

798
00:40:27,200 --> 00:40:30,759
Speaker 1: I am target demo for this. I'm like, hell, yes,

799
00:40:30,920 --> 00:40:35,960
Speaker 1: this is what the Internet was built for. Feed me daddy.

800
00:40:36,360 --> 00:40:40,640
Speaker 2: It's this this clip of a woman crossing a street

801
00:40:41,280 --> 00:40:43,359
Speaker 2: looks like in the UK, and there's a moment where

802
00:40:43,400 --> 00:40:47,680
Speaker 2: she just freeze frames in the middle of her stride.

803
00:40:48,120 --> 00:40:52,840
Speaker 1: Yes, so I'm on board with this. Her ponytail seems

804
00:40:52,880 --> 00:40:54,200
Speaker 1: to freeze in the air.

805
00:40:55,239 --> 00:40:59,879
Speaker 2: Yeah, which to me, I would say reeks of doctored video, right,

806
00:41:00,400 --> 00:41:03,360
Speaker 2: Like they froze the frame and then ken burns effect

807
00:41:03,440 --> 00:41:05,719
Speaker 2: within that frame to make it look like there was

808
00:41:05,800 --> 00:41:09,719
Speaker 2: camera movement impossible. I don't know. That's just me with

809
00:41:09,800 --> 00:41:12,680
Speaker 2: my like production nerd hat on and I'm like, I

810
00:41:12,840 --> 00:41:15,200
Speaker 2: see how you do this because like it. I get

811
00:41:15,239 --> 00:41:17,239
Speaker 2: that there's a car that goes by in the foreground,

812
00:41:17,239 --> 00:41:20,040
Speaker 2: which sort of like anchors this idea that this person

813
00:41:20,120 --> 00:41:23,799
Speaker 2: has like mid stride been put on pause. But I

814
00:41:23,800 --> 00:41:24,200
Speaker 2: don't know.

815
00:41:24,560 --> 00:41:28,160
Speaker 1: She also does a weird thing with her step after

816
00:41:28,840 --> 00:41:32,200
Speaker 1: where she like it looks like she was frozen, like

817
00:41:32,239 --> 00:41:35,080
Speaker 1: she got like a Charlie horse or something. And then

818
00:41:35,440 --> 00:41:38,080
Speaker 1: do you see what I mean? Like, yeah, yeah, she

819
00:41:38,200 --> 00:41:40,879
Speaker 1: like kind of like does a weird like loping thing

820
00:41:41,120 --> 00:41:43,920
Speaker 1: with her next step after the being frozen.

821
00:41:44,320 --> 00:41:46,799
Speaker 2: Yeah. Or it's like you got your foot stuck in something.

822
00:41:46,840 --> 00:41:48,560
Speaker 2: It kind of looks like you're regaining your balance after

823
00:41:48,600 --> 00:41:50,240
Speaker 2: you got your foot stuck in something. You're like, yeah,

824
00:41:50,480 --> 00:41:52,439
Speaker 2: just trying to balance yourself out. I don't know. Again

825
00:41:52,480 --> 00:41:53,800
Speaker 2: to slitched out.

826
00:41:53,640 --> 00:41:56,279
Speaker 1: Like this on the air, then Justin just has to

827
00:41:56,440 --> 00:41:59,000
Speaker 1: edit around it where I just freeze for like thirty

828
00:41:59,000 --> 00:42:00,440
Speaker 1: five to forty five minute.

829
00:42:00,960 --> 00:42:02,839
Speaker 3: I've been on plenty of Zoom calls and I see

830
00:42:02,880 --> 00:42:06,160
Speaker 3: people freeze all the time. So you know, what do

831
00:42:06,239 --> 00:42:08,880
Speaker 3: you think is this? I think it's been confirmed. So

832
00:42:08,920 --> 00:42:12,560
Speaker 3: I just want to write to the great coders who

833
00:42:12,560 --> 00:42:15,440
Speaker 3: are out there programming the Matrix if you could just

834
00:42:15,480 --> 00:42:19,319
Speaker 3: put more indigenous content in there, like just throw some

835
00:42:19,400 --> 00:42:21,799
Speaker 3: of my language out there, just make it, you know,

836
00:42:21,960 --> 00:42:25,440
Speaker 3: just alter this reality, because this reality is you know,

837
00:42:25,480 --> 00:42:28,680
Speaker 3: I'm going to give it two thumbs down and just say,

838
00:42:28,960 --> 00:42:31,160
Speaker 3: you know, we gotta do a little bit better on

839
00:42:31,400 --> 00:42:35,480
Speaker 3: what we're experiencing in terms of indigenous peoples and colonization,

840
00:42:35,800 --> 00:42:39,839
Speaker 3: Like so, can you just run the decolonization program, run,

841
00:42:40,080 --> 00:42:42,560
Speaker 3: just take a winter key on that one, and then

842
00:42:42,640 --> 00:42:44,880
Speaker 3: let's just try and see and let people freeze, let

843
00:42:44,920 --> 00:42:47,719
Speaker 3: them freeze, let them, let them glitch out. As long

844
00:42:47,760 --> 00:42:50,200
Speaker 3: as we're decolonizing, that's all I really care about. So

845
00:42:51,200 --> 00:42:54,000
Speaker 3: in that case, you know, send send. I don't know

846
00:42:54,000 --> 00:42:56,960
Speaker 3: what the Indigenous version of the Keanu Reeves character was.

847
00:42:57,000 --> 00:42:59,080
Speaker 2: It neo neo could be.

848
00:42:59,239 --> 00:43:01,719
Speaker 3: The people asked me sometimes how to translate this stuff,

849
00:43:01,760 --> 00:43:04,040
Speaker 3: like how would you say the one? It's like, you

850
00:43:04,080 --> 00:43:07,520
Speaker 3: know that like I'm not going to work in our language,

851
00:43:07,600 --> 00:43:11,080
Speaker 3: you know, like you could just say yeah, weight take

852
00:43:11,320 --> 00:43:15,680
Speaker 3: like the one. It doesn't work. It works good in English, right,

853
00:43:15,719 --> 00:43:17,719
Speaker 3: So we had a lot of that, like single word

854
00:43:17,760 --> 00:43:22,000
Speaker 3: concepts people say, like can you translate freedom? You know,

855
00:43:22,080 --> 00:43:24,880
Speaker 3: and like, well, you know, like our concept of freedom

856
00:43:24,920 --> 00:43:28,640
Speaker 3: is litally different, you know, because and so you got

857
00:43:28,640 --> 00:43:30,560
Speaker 3: to have a lot of concepts of freedom, I think

858
00:43:30,600 --> 00:43:34,239
Speaker 3: in America, because you've had a lot of slavery and

859
00:43:34,320 --> 00:43:37,560
Speaker 3: you've had a lot of stealing of other people's stuff,

860
00:43:37,560 --> 00:43:40,640
Speaker 3: and so I think freedom becomes this huge thing to

861
00:43:40,719 --> 00:43:45,520
Speaker 3: live by. So to the coders, more indigenous stuff, just just.

862
00:43:47,320 --> 00:43:51,359
Speaker 2: Yeah, we have studio notes. Yeah exactly. Yeah.

863
00:43:51,400 --> 00:43:54,160
Speaker 1: So, I mean it could be anything. It could be,

864
00:43:54,480 --> 00:43:58,000
Speaker 1: you know, a neurological condition this person suffers from. Because

865
00:43:58,040 --> 00:44:01,520
Speaker 1: the person says like they were frozen like that for

866
00:44:01,600 --> 00:44:05,839
Speaker 1: a minute, that the walker could be doing a performance

867
00:44:05,920 --> 00:44:10,000
Speaker 1: art thing, or most likely it's an intentional trick, or

868
00:44:10,200 --> 00:44:13,359
Speaker 1: even more likely, it is proof that we live in

869
00:44:13,400 --> 00:44:16,480
Speaker 1: the matrix and it's a glitch and everything is frozen.

870
00:44:16,800 --> 00:44:20,200
Speaker 1: There's no way to know. But this is an entire

871
00:44:20,400 --> 00:44:24,440
Speaker 1: genre of TikTok video that I'm now fascinated with. There's

872
00:44:24,800 --> 00:44:29,600
Speaker 1: another one that went super viral where a plane appears

873
00:44:29,640 --> 00:44:33,399
Speaker 1: to just be like frozen in mid air and the

874
00:44:33,480 --> 00:44:36,760
Speaker 1: text on the video said, another plane flew past minutes before.

875
00:44:36,880 --> 00:44:38,759
Speaker 1: So I know for a fact it didn't move.

876
00:44:39,160 --> 00:44:41,880
Speaker 2: And that's proof because the person's text in the video

877
00:44:42,480 --> 00:44:46,480
Speaker 2: exactly what the fuck? Okay, sure, because you said, so

878
00:44:46,920 --> 00:44:49,480
Speaker 2: it's been like this for seven thousand years. Has it moved?

879
00:44:49,840 --> 00:44:52,279
Speaker 2: Someone care to explain? Still there?

880
00:44:52,800 --> 00:44:58,080
Speaker 1: And you can take that to the bank. Also, as

881
00:44:58,120 --> 00:45:01,040
Speaker 1: we've already discussed, on this episode, Like sometimes a plane

882
00:45:01,080 --> 00:45:04,400
Speaker 1: does just kind of hang out up there because the

883
00:45:04,440 --> 00:45:09,640
Speaker 1: wind at that height is incredibly fast, and you know,

884
00:45:09,880 --> 00:45:13,200
Speaker 1: you're like, the plane is going the equivalent of like

885
00:45:13,239 --> 00:45:16,719
Speaker 1: three hundred miles per hour because the wind is like

886
00:45:16,840 --> 00:45:19,239
Speaker 1: going against it at like two hundred and fifty miles

887
00:45:19,239 --> 00:45:20,120
Speaker 1: per hour or whatever.

888
00:45:20,480 --> 00:45:24,879
Speaker 2: Nah, jackets floating, come on, then try to throw water

889
00:45:24,920 --> 00:45:26,319
Speaker 2: on this. Yeah.

890
00:45:27,760 --> 00:45:31,680
Speaker 1: So the simulation theory, which yeah, you know, this has

891
00:45:31,680 --> 00:45:34,359
Speaker 1: been a thing in science fiction forever, but the one

892
00:45:34,400 --> 00:45:38,160
Speaker 1: that has gotten popular recently where it's like, and I

893
00:45:38,239 --> 00:45:41,840
Speaker 1: think I heard this before two thousands, because like the

894
00:45:42,560 --> 00:45:47,080
Speaker 1: people credit it to the Oxford philosopher Nick Bostrom in

895
00:45:47,120 --> 00:45:50,480
Speaker 1: the early two thousands, but I think it's been around

896
00:45:50,600 --> 00:45:52,839
Speaker 1: for way before that. I mean, the matrix came out

897
00:45:52,880 --> 00:45:53,960
Speaker 1: in the nineties, didn't.

898
00:45:53,680 --> 00:45:56,239
Speaker 2: It isn't he also effect of altruism Bostrum.

899
00:45:56,320 --> 00:45:58,600
Speaker 1: Yeah, so Bostrom is also a right idea.

900
00:45:58,800 --> 00:45:59,680
Speaker 2: This guy's an idea.

901
00:46:00,440 --> 00:46:04,360
Speaker 1: And he's also like on Wax being just a straight

902
00:46:04,440 --> 00:46:05,560
Speaker 1: up racist.

903
00:46:05,760 --> 00:46:08,240
Speaker 2: Oh yeah, yeah, totally.

904
00:46:08,040 --> 00:46:12,520
Speaker 1: Openly like saying the N word in an email race.

905
00:46:12,600 --> 00:46:16,680
Speaker 2: It was a list Serve Jack from the list Sir

906
00:46:17,239 --> 00:46:19,719
Speaker 2: that I think was his defense. He's like, it was

907
00:46:19,760 --> 00:46:21,160
Speaker 2: not me, it was the list serve.

908
00:46:21,680 --> 00:46:24,480
Speaker 1: So it's annoying that you know, an idea that it

909
00:46:24,520 --> 00:46:27,200
Speaker 1: is fun to play with, the idea of that you're

910
00:46:27,239 --> 00:46:31,200
Speaker 1: living in a simulation is goes back to this racist

911
00:46:31,320 --> 00:46:36,960
Speaker 1: piece of shit. But it's it's also like, definitely, you know,

912
00:46:37,080 --> 00:46:41,279
Speaker 1: a symptom of something like that, this is the reality

913
00:46:41,360 --> 00:46:46,080
Speaker 1: that we choose to kind of or the model of

914
00:46:46,160 --> 00:46:47,960
Speaker 1: reality that I think a lot of people are Like

915
00:46:47,960 --> 00:46:49,880
Speaker 1: that actually makes sense to me. It makes sense to

916
00:46:49,920 --> 00:46:53,000
Speaker 1: me if I just like started noticing like birds glitching

917
00:46:53,040 --> 00:46:54,080
Speaker 1: out in mid air.

918
00:46:54,400 --> 00:46:55,680
Speaker 2: Because.

919
00:46:56,680 --> 00:47:00,120
Speaker 1: Yeah, I must live in a computer simulation there and

920
00:47:00,160 --> 00:47:04,359
Speaker 1: therefore because I just I think people feel isolated, yeah,

921
00:47:04,440 --> 00:47:07,680
Speaker 1: from their reality, from the system that.

922
00:47:09,160 --> 00:47:14,040
Speaker 2: Hey, teenage assholes, teenage assholes on TikTok. It's not a

923
00:47:14,080 --> 00:47:18,560
Speaker 2: fucking simulation. You're just experiencing the fucking ills of capitalism

924
00:47:18,680 --> 00:47:22,400
Speaker 2: destroying everything around you. Okay, Like you think of like

925
00:47:22,520 --> 00:47:26,160
Speaker 2: the nature of the fucking quote what work is right,

926
00:47:26,600 --> 00:47:29,359
Speaker 2: Most people do not have the benefit of doing work

927
00:47:29,400 --> 00:47:32,240
Speaker 2: that is connected to something they fucking give a fuck about,

928
00:47:32,560 --> 00:47:35,840
Speaker 2: or even making something that they feel is meaningful that

929
00:47:36,360 --> 00:47:38,879
Speaker 2: or does good in the world, like I mean, few

930
00:47:38,920 --> 00:47:42,080
Speaker 2: people have that benefit as they toil or work or

931
00:47:42,080 --> 00:47:44,839
Speaker 2: whatever you want to fucking call it, and because of that,

932
00:47:45,040 --> 00:47:47,719
Speaker 2: we feel isolated as shit. We feel like cogs in

933
00:47:47,760 --> 00:47:50,839
Speaker 2: a machine or in the case of the matrix, those

934
00:47:50,880 --> 00:47:55,239
Speaker 2: little fucking battery cells that everybody's in individualized where your

935
00:47:55,360 --> 00:47:58,839
Speaker 2: whole purpose as life forms is to generate energy or

936
00:47:58,880 --> 00:48:02,640
Speaker 2: capital for larger system. So I totally get why you

937
00:48:02,719 --> 00:48:05,240
Speaker 2: saw the matrix once and now you're like, this explains

938
00:48:05,280 --> 00:48:07,560
Speaker 2: what I'm living now, and it must be the matrix,

939
00:48:07,640 --> 00:48:10,399
Speaker 2: rather than trying to actually begin to break out of

940
00:48:10,480 --> 00:48:14,600
Speaker 2: this fucking frigid paradigm of like what we consider work

941
00:48:15,000 --> 00:48:17,960
Speaker 2: or freedom or what we like how we even live,

942
00:48:18,360 --> 00:48:21,360
Speaker 2: because we can't live in a normal way, Like we

943
00:48:21,400 --> 00:48:24,600
Speaker 2: can't just enjoy the world around us. We don't have

944
00:48:24,800 --> 00:48:28,640
Speaker 2: leisure because everything is fucking private property, or you need

945
00:48:28,760 --> 00:48:31,680
Speaker 2: money just to fucking afford to live or have medical

946
00:48:31,719 --> 00:48:34,600
Speaker 2: care or breathe air basically, so it's dystopian, And of

947
00:48:34,640 --> 00:48:37,040
Speaker 2: course people want to find a way to break out

948
00:48:37,040 --> 00:48:40,440
Speaker 2: of the simulation. But the answer seems pretty simple here, like,

949
00:48:40,520 --> 00:48:43,560
Speaker 2: especially when you hear people investing money into being like,

950
00:48:43,719 --> 00:48:46,000
Speaker 2: figure out how we break out of this simulation. I'm

951
00:48:46,040 --> 00:48:52,120
Speaker 2: a billionaire. What what? Yeah? No, no, come on, fam,

952
00:48:52,200 --> 00:48:52,759
Speaker 2: that ain't it.

953
00:48:53,320 --> 00:48:53,440
Speaker 5: Oh?

954
00:48:53,440 --> 00:48:55,719
Speaker 1: There are evidence that people are pointing to a bird

955
00:48:55,800 --> 00:48:59,319
Speaker 1: crossing the skyline but its wings are turned down. There's

956
00:48:59,360 --> 00:49:02,279
Speaker 1: one where they're like, look at these sheep. They've been

957
00:49:02,320 --> 00:49:06,879
Speaker 1: standing completely still for like an hour. It's like as

958
00:49:06,880 --> 00:49:10,319
Speaker 1: opposed to what but they like playing music over it?

959
00:49:10,680 --> 00:49:10,879
Speaker 2: Right?

960
00:49:11,320 --> 00:49:12,520
Speaker 1: I kept playing cards?

961
00:49:12,920 --> 00:49:15,240
Speaker 2: Aren't they like? Aren't they playing Nintendo Switch?

962
00:49:15,640 --> 00:49:15,719
Speaker 4: That?

963
00:49:15,960 --> 00:49:19,200
Speaker 2: That ship looks so boring? Fam, you know what's wild?

964
00:49:19,360 --> 00:49:21,440
Speaker 2: I'm I fell victim to that because I asked on

965
00:49:21,440 --> 00:49:24,920
Speaker 2: Twitter because I there is like a person with like

966
00:49:24,960 --> 00:49:27,880
Speaker 2: a horse nearby, and I see like this horse just

967
00:49:27,920 --> 00:49:31,400
Speaker 2: like chilling, you know, like all day by by themselves,

968
00:49:31,440 --> 00:49:33,640
Speaker 2: and I was like, damn, that shit kind of fucked up,

969
00:49:33,680 --> 00:49:35,360
Speaker 2: And I asked on Twitter. I'm like, yo, do horses

970
00:49:35,400 --> 00:49:37,759
Speaker 2: get bored? Please let me know, because I don't know

971
00:49:37,800 --> 00:49:40,840
Speaker 2: this fucking people like, No, they're they're fine, They're good here. Yeah,

972
00:49:41,040 --> 00:49:43,160
Speaker 2: but again that does play on my version of like

973
00:49:43,320 --> 00:49:45,200
Speaker 2: they're as smart as me, and you would be so

974
00:49:45,280 --> 00:49:47,319
Speaker 2: bored and you probably want to know what's happening on

975
00:49:47,400 --> 00:49:50,000
Speaker 2: TV and I should be telling you. Oh, it sucks

976
00:49:50,000 --> 00:49:50,600
Speaker 2: to be a horse.

977
00:49:51,200 --> 00:49:51,399
Speaker 4: Yeah.

978
00:49:51,719 --> 00:49:54,480
Speaker 1: There's also a trend on glitch talk with people being

979
00:49:54,520 --> 00:49:58,680
Speaker 1: like someone's stealing my utensils. I'm down to one fork.

980
00:49:59,160 --> 00:50:01,200
Speaker 1: I just found a haven the cup even though I

981
00:50:01,239 --> 00:50:02,600
Speaker 1: only bought a set of six.

982
00:50:03,000 --> 00:50:05,440
Speaker 3: Well, you know, they never come for the butter knives.

983
00:50:05,520 --> 00:50:09,480
Speaker 3: I'll just say that, like you butter knives actually multiply.

984
00:50:10,600 --> 00:50:10,880
Speaker 1: Thirty.

985
00:50:11,280 --> 00:50:14,680
Speaker 3: I got thirty, I got four forks, six spoons.

986
00:50:14,719 --> 00:50:17,040
Speaker 2: Do you own currently own a butter knife? Just a

987
00:50:17,120 --> 00:50:19,200
Speaker 2: quick check of the room, does it people still own

988
00:50:19,400 --> 00:50:22,480
Speaker 2: like that? Like very specific, like flat, like it almost

989
00:50:22,520 --> 00:50:24,240
Speaker 2: looks like a little butter knife.

990
00:50:25,520 --> 00:50:28,600
Speaker 1: I just can't water the knife, like the one that

991
00:50:28,719 --> 00:50:31,080
Speaker 1: cut that I put out at dinner when we're setting

992
00:50:31,080 --> 00:50:32,680
Speaker 1: the table, a butter knife.

993
00:50:32,719 --> 00:50:34,560
Speaker 3: Like when you get a silver ware set, it comes

994
00:50:34,560 --> 00:50:37,440
Speaker 3: with like a little fork, big fork, the knife, big spoon,

995
00:50:37,560 --> 00:50:40,600
Speaker 3: and then the knife the butter knife thing. Yeah, wait,

996
00:50:40,680 --> 00:50:43,080
Speaker 3: what's the butter knife?

997
00:50:42,080 --> 00:50:43,920
Speaker 2: What do you call the.

998
00:50:43,960 --> 00:50:46,960
Speaker 1: Knife that has the little it's like smooth at the

999
00:50:47,000 --> 00:50:47,520
Speaker 1: top and.

1000
00:50:50,480 --> 00:50:51,640
Speaker 2: Hold on, what's a knife?

1001
00:50:52,600 --> 00:50:54,680
Speaker 1: What?

1002
00:50:56,440 --> 00:50:59,399
Speaker 2: Hold on? A butter knife? What the fuck? Oh wait,

1003
00:50:59,400 --> 00:51:01,920
Speaker 2: you just meaning the one that has like like a round,

1004
00:51:02,040 --> 00:51:03,640
Speaker 2: more rounded edge at the end, it's.

1005
00:51:03,800 --> 00:51:07,040
Speaker 3: Yeah, it's got like little ridges. You can't really.

1006
00:51:08,480 --> 00:51:10,400
Speaker 2: But like I think about like the first set that

1007
00:51:10,440 --> 00:51:13,320
Speaker 2: most young people have, which is like that Ikea. Fucking

1008
00:51:13,400 --> 00:51:15,759
Speaker 2: you buy that whole silver war set of Ikea that

1009
00:51:15,800 --> 00:51:17,120
Speaker 2: doesn't have a rounded edge.

1010
00:51:17,920 --> 00:51:19,440
Speaker 3: Is it sharp? Is it cut?

1011
00:51:20,200 --> 00:51:21,799
Speaker 2: I mean you can't stab with it, but like you

1012
00:51:21,800 --> 00:51:24,359
Speaker 2: can cut chicken and like with it. I wouldn't you know,

1013
00:51:24,440 --> 00:51:27,240
Speaker 2: And like maybe tender other tender meats.

1014
00:51:27,800 --> 00:51:31,680
Speaker 3: Yeah they got yeah, they got some. That's some serious silverware,

1015
00:51:31,760 --> 00:51:34,279
Speaker 3: I think, because like what I get, like you get

1016
00:51:34,360 --> 00:51:37,840
Speaker 3: like a butter knife. It can't cut butter, right, maybe

1017
00:51:37,920 --> 00:51:40,080
Speaker 3: you could cut some bread. You're gonna saw that bread up,

1018
00:51:40,120 --> 00:51:42,239
Speaker 3: You're gonna kay.

1019
00:51:42,320 --> 00:51:44,920
Speaker 2: So that's what I'm thinking. Like this one here, like

1020
00:51:44,920 --> 00:51:46,960
Speaker 2: the most they call it, I guess a spreader. That

1021
00:51:47,000 --> 00:51:50,600
Speaker 2: makes sense because it got that big flat yeah, big

1022
00:51:50,640 --> 00:51:51,080
Speaker 2: tip on.

1023
00:51:51,040 --> 00:51:53,400
Speaker 3: The end, oh for like your fish spread. But you

1024
00:51:53,440 --> 00:51:57,040
Speaker 3: were calling this a butter knife, that's that's a butter knife.

1025
00:51:57,200 --> 00:51:59,600
Speaker 1: That is what Google is calling a Oh it's calling

1026
00:51:59,600 --> 00:52:00,440
Speaker 1: it a inner.

1027
00:52:00,320 --> 00:52:02,600
Speaker 3: Knife, an inner knife, Get out of town.

1028
00:52:02,719 --> 00:52:04,960
Speaker 1: You call it a dinner knife, Miles, I don't even

1029
00:52:05,000 --> 00:52:07,840
Speaker 1: know in my mind a butter knife Okay, here's the

1030
00:52:07,880 --> 00:52:09,600
Speaker 1: other thing. What is the one that I call a

1031
00:52:09,600 --> 00:52:12,200
Speaker 1: butter knife to you in your head? What is the word?

1032
00:52:12,239 --> 00:52:14,320
Speaker 2: What is this? That's just like a shitty dinner knife

1033
00:52:14,960 --> 00:52:17,799
Speaker 2: sty dinner knife? Yeah, because like it ain't steak, you

1034
00:52:17,840 --> 00:52:23,400
Speaker 2: know what I mean? Like, yeah, that's always had just

1035
00:52:23,600 --> 00:52:26,160
Speaker 2: it was meant to spread and like that's just like

1036
00:52:26,239 --> 00:52:28,440
Speaker 2: if you need to cut some shit. Oh and the

1037
00:52:28,520 --> 00:52:31,719
Speaker 2: other reason I'll tell you is in Japan, like when

1038
00:52:31,760 --> 00:52:34,440
Speaker 2: you buy like a like a container of like soft butter,

1039
00:52:34,760 --> 00:52:36,960
Speaker 2: it's like built for you to put a little butter

1040
00:52:37,040 --> 00:52:38,920
Speaker 2: knife in. So like a lot of Japanese homes have

1041
00:52:39,080 --> 00:52:42,839
Speaker 2: like a butter specific butter spreader. Mm hmm. But again

1042
00:52:42,880 --> 00:52:46,240
Speaker 2: that's I'm like, are we here to even this whole

1043
00:52:46,239 --> 00:52:48,520
Speaker 2: fucking matrix thing? But came in It was a definition

1044
00:52:48,560 --> 00:52:50,040
Speaker 2: of a spreader versus a knife.

1045
00:52:51,120 --> 00:52:54,040
Speaker 3: Okay between the three of us, yeah, we may have

1046
00:52:54,239 --> 00:52:55,160
Speaker 3: figured this out.

1047
00:52:55,480 --> 00:52:58,760
Speaker 1: Yeah okay, well I would even throw the different colored

1048
00:52:58,840 --> 00:53:04,120
Speaker 1: dresses and the green needle space whatever into the thing

1049
00:53:04,200 --> 00:53:09,880
Speaker 1: where it feels like that was when those two things happened,

1050
00:53:10,520 --> 00:53:12,960
Speaker 1: everyone was like we live in the matrix, like this

1051
00:53:13,120 --> 00:53:15,799
Speaker 1: is glitching out. How do you see a black and

1052
00:53:16,280 --> 00:53:20,040
Speaker 1: blue dress, I see yellow and white. So I don't know,

1053
00:53:20,480 --> 00:53:23,799
Speaker 1: I find this stuff interesting. I mean, yeah, I don't

1054
00:53:23,800 --> 00:53:25,360
Speaker 1: think it means we live in a simulation.

1055
00:53:25,840 --> 00:53:28,719
Speaker 2: No, I think it's just it's only a sign that

1056
00:53:28,760 --> 00:53:32,600
Speaker 2: people are are, you know, becoming more aware of the

1057
00:53:32,680 --> 00:53:34,799
Speaker 2: disconnect that they feel, and they're just trying to make

1058
00:53:34,840 --> 00:53:37,600
Speaker 2: sense of it, and they lack the vocabulary or tools

1059
00:53:37,600 --> 00:53:39,640
Speaker 2: to like articulate it in a way that makes sense.

1060
00:53:39,680 --> 00:53:42,760
Speaker 2: And all we have are fucking movies and Elon Musk

1061
00:53:42,800 --> 00:53:45,880
Speaker 2: tweets for a certain generation. So when he starts, when

1062
00:53:45,880 --> 00:53:48,359
Speaker 2: everybody's aboutetting red pilled and shit, they're like, yeah, dude,

1063
00:53:48,360 --> 00:53:50,520
Speaker 2: that shit's real good. I don't know, Like, who know

1064
00:53:50,640 --> 00:53:53,440
Speaker 2: what do you think of? Like, I feel like this

1065
00:53:53,520 --> 00:53:54,960
Speaker 2: is all part of, like in the last times you've

1066
00:53:54,960 --> 00:53:57,839
Speaker 2: come on to to talk about how disconnected we are,

1067
00:53:57,920 --> 00:54:01,000
Speaker 2: especially from like where we live and our surroundings, and

1068
00:54:01,040 --> 00:54:02,799
Speaker 2: like how that's part of like being able to like

1069
00:54:02,800 --> 00:54:06,560
Speaker 2: in a way make a step towards like decolonizing the

1070
00:54:06,600 --> 00:54:09,200
Speaker 2: way we live. Because I feel like this is this

1071
00:54:09,360 --> 00:54:11,919
Speaker 2: is like this is a perfect example of how we've

1072
00:54:11,960 --> 00:54:14,520
Speaker 2: completely colonized our own minds into thinking this is the

1073
00:54:14,560 --> 00:54:17,400
Speaker 2: one way that society and the economy can function.

1074
00:54:17,680 --> 00:54:20,359
Speaker 1: That is a great question, Miles. And let's hold that

1075
00:54:20,400 --> 00:54:22,680
Speaker 1: thought and we'll take a quick break and we'll carry

1076
00:54:22,680 --> 00:54:36,360
Speaker 1: it back and we're back, and so do I repeat

1077
00:54:36,400 --> 00:54:36,960
Speaker 1: that question?

1078
00:54:37,320 --> 00:54:40,160
Speaker 2: Yeah? But like I was saying, no, like, and I

1079
00:54:40,160 --> 00:54:42,759
Speaker 2: think if you didn't just skip ahead, the point being

1080
00:54:42,880 --> 00:54:45,799
Speaker 2: is I think there's there's a lot of like you've

1081
00:54:46,000 --> 00:54:47,799
Speaker 2: you've spent a lot of facts every time you've come on,

1082
00:54:48,040 --> 00:54:50,520
Speaker 2: but that have really made me think about how much

1083
00:54:52,000 --> 00:54:55,560
Speaker 2: the way that we this like our societies were built

1084
00:54:55,560 --> 00:54:58,080
Speaker 2: in this country was built, how much it affects us now,

1085
00:54:58,120 --> 00:55:00,520
Speaker 2: how much it poisons us now to the point that

1086
00:55:00,560 --> 00:55:04,239
Speaker 2: we have no connection to each other, community, to land,

1087
00:55:04,280 --> 00:55:07,400
Speaker 2: and things like that. I'm do you see this as

1088
00:55:07,480 --> 00:55:09,799
Speaker 2: part and parcel of that disconnect or is there is

1089
00:55:09,800 --> 00:55:12,080
Speaker 2: there another way you're looking at it? Well?

1090
00:55:12,400 --> 00:55:14,359
Speaker 3: So, I guess I think of a couple of things.

1091
00:55:14,360 --> 00:55:16,799
Speaker 3: One is, when I was going to school in Hawaii,

1092
00:55:17,239 --> 00:55:20,040
Speaker 3: I was living with one of my teachers named Larry Kimura,

1093
00:55:20,120 --> 00:55:23,760
Speaker 3: who we call him the godfather of the Hawaiian language movement.

1094
00:55:23,800 --> 00:55:26,719
Speaker 3: He's just he's an amazing person, and at one point

1095
00:55:26,800 --> 00:55:29,800
Speaker 3: he was just he kind of started going off about

1096
00:55:29,800 --> 00:55:32,719
Speaker 3: these people wearing these shirts that say Aloha Aina, which

1097
00:55:32,800 --> 00:55:34,920
Speaker 3: is like love the land. And he says, you love

1098
00:55:34,960 --> 00:55:37,239
Speaker 3: the land, show me your fingers you got you got

1099
00:55:37,280 --> 00:55:39,799
Speaker 3: dirt underneath your fingernails. Have you been out working in

1100
00:55:39,840 --> 00:55:42,399
Speaker 3: the land. You've been digging, You've been planting stuff, You've

1101
00:55:42,400 --> 00:55:44,839
Speaker 3: been doing stuff. And so for me, I think, if

1102
00:55:45,000 --> 00:55:48,480
Speaker 3: if the world starts glitching out, go out on the land, right,

1103
00:55:48,600 --> 00:55:50,839
Speaker 3: just go go see what's out there, and and go

1104
00:55:50,960 --> 00:55:54,560
Speaker 3: get your hands dirty. And then I also sometimes I

1105
00:55:54,600 --> 00:55:57,000
Speaker 3: have theories that maybe people don't want to hear. So

1106
00:55:57,160 --> 00:56:00,040
Speaker 3: I was in a class on American literature and the

1107
00:56:00,040 --> 00:56:03,080
Speaker 3: theme of the class was paranoia and that this sort

1108
00:56:03,080 --> 00:56:06,920
Speaker 3: of culminating moment in the class. This was for an

1109
00:56:07,040 --> 00:56:10,799
Speaker 3: MFA and creative writing, and the teachers who was really

1110
00:56:10,840 --> 00:56:13,160
Speaker 3: he was a great guy, and he said, well, why

1111
00:56:13,200 --> 00:56:16,040
Speaker 3: do you guys think there's so much paranoia in American literature?

1112
00:56:16,080 --> 00:56:18,160
Speaker 3: And this person had an answer, and that person had

1113
00:56:18,160 --> 00:56:20,120
Speaker 3: an answer, and that person had an answer, and I

1114
00:56:20,200 --> 00:56:22,759
Speaker 3: raised my hand I said, well, I think it's because

1115
00:56:22,800 --> 00:56:26,480
Speaker 3: America stole everything from Native American people's and they're just

1116
00:56:26,640 --> 00:56:27,840
Speaker 3: kind of waiting for their comeup.

1117
00:56:27,840 --> 00:56:28,040
Speaker 1: Ins.

1118
00:56:28,560 --> 00:56:32,280
Speaker 3: And I also think that it's you can really geek

1119
00:56:32,320 --> 00:56:35,560
Speaker 3: out on sci fi theories and stuff, so you don't

1120
00:56:35,600 --> 00:56:39,440
Speaker 3: have to assume that your ancestors did something really horrible.

1121
00:56:40,080 --> 00:56:42,640
Speaker 3: And so I think if people say, no, this is

1122
00:56:42,680 --> 00:56:45,719
Speaker 3: all part of this larger program that we have no

1123
00:56:45,840 --> 00:56:49,840
Speaker 3: control of, I think it's another system to avoid doing

1124
00:56:49,880 --> 00:56:51,839
Speaker 3: the work that it's going to take to sort of

1125
00:56:52,520 --> 00:56:56,160
Speaker 3: start moving towards a sense of equity which is totally attainable,

1126
00:56:56,400 --> 00:57:00,480
Speaker 3: which is totally possible. But I think colonizations sets up

1127
00:57:00,560 --> 00:57:04,280
Speaker 3: all of these mechanisms like either like it's it's already

1128
00:57:04,360 --> 00:57:07,239
Speaker 3: in place, it's too late to do anything, it's this

1129
00:57:07,280 --> 00:57:12,680
Speaker 3: thing or that thing, or the limitlessness of resource extraction

1130
00:57:13,320 --> 00:57:17,880
Speaker 3: and the absolute limit of budgets and time and energy, right,

1131
00:57:17,920 --> 00:57:20,360
Speaker 3: and so it just sort of gets you trapped into

1132
00:57:20,400 --> 00:57:24,400
Speaker 3: these systems. So for me, I'm always, you know, I'm

1133
00:57:24,440 --> 00:57:27,280
Speaker 3: always paranoid that something is racism, and I'm always paranoid

1134
00:57:27,320 --> 00:57:31,560
Speaker 3: that something is colonization. And I'm usually right, but I'll

1135
00:57:31,560 --> 00:57:34,400
Speaker 3: also say, you know, so that's my matrix that I'm

1136
00:57:34,400 --> 00:57:36,440
Speaker 3: stuck in, you know. So sometimes I'll be dealing with

1137
00:57:36,440 --> 00:57:39,440
Speaker 3: something I was like, is this a colonization thing, or

1138
00:57:39,880 --> 00:57:41,520
Speaker 3: is this a race? Like am I getting Am I

1139
00:57:41,560 --> 00:57:44,120
Speaker 3: getting treated different because of you know, my name or

1140
00:57:44,160 --> 00:57:46,480
Speaker 3: because of who I am or how I look? Are

1141
00:57:46,520 --> 00:57:49,160
Speaker 3: my kids being treated different? And so I'm always sort

1142
00:57:49,200 --> 00:57:54,040
Speaker 3: of I'm paranoid myself, right, But I'm also I have it,

1143
00:57:54,400 --> 00:57:57,200
Speaker 3: you know, I don't have TikTok channel for it, but

1144
00:57:57,240 --> 00:57:59,560
Speaker 3: I've been right quite a few times with this kind

1145
00:57:59,560 --> 00:58:02,960
Speaker 3: of stuff. So for me, I think it's fascinating and

1146
00:58:03,000 --> 00:58:05,800
Speaker 3: it's neat to look at, and like I have friends

1147
00:58:05,800 --> 00:58:09,520
Speaker 3: who've seen UFOs, and I have friends who've seen we

1148
00:58:09,600 --> 00:58:11,800
Speaker 3: have our own monsters here that live in the woods.

1149
00:58:11,800 --> 00:58:15,200
Speaker 3: We went camping last weekend and it's fun. It's it's

1150
00:58:15,240 --> 00:58:17,680
Speaker 3: a blast. Like we're in Alaska. You can just walk

1151
00:58:17,720 --> 00:58:20,760
Speaker 3: out your door and you're in the wilderness. But that means,

1152
00:58:21,040 --> 00:58:23,920
Speaker 3: you know, the dog starts barking. You're cooking some delicious

1153
00:58:23,960 --> 00:58:25,640
Speaker 3: dinner out in the middle of nowhere in the dark.

1154
00:58:25,680 --> 00:58:27,960
Speaker 3: Well it's not in the Milan Nore but far from

1155
00:58:28,160 --> 00:58:32,000
Speaker 3: you know, a hospital. Yeah, and the dog's barking and

1156
00:58:32,120 --> 00:58:34,560
Speaker 3: looking down the trail and you're like, grab all the food,

1157
00:58:34,600 --> 00:58:37,120
Speaker 3: get in the cabin, you know, because there's probably, you know,

1158
00:58:37,240 --> 00:58:41,800
Speaker 3: like we respect the grizzly bear so much that we

1159
00:58:41,880 --> 00:58:44,200
Speaker 3: got two names. Like so hoots is what we would

1160
00:58:44,200 --> 00:58:46,400
Speaker 3: call it, so it means brown bear, and we say

1161
00:58:46,400 --> 00:58:48,480
Speaker 3: it's eke for black bear. But the brown bear is

1162
00:58:48,680 --> 00:58:52,000
Speaker 3: the one that's it owns the forest and we know that.

1163
00:58:52,720 --> 00:58:55,560
Speaker 3: But when we're out in the forest, we say yet

1164
00:58:55,680 --> 00:58:58,439
Speaker 3: see neat, which means a living thing. So we don't

1165
00:58:58,480 --> 00:59:00,720
Speaker 3: even say its name when we're out there, because we're like,

1166
00:59:00,960 --> 00:59:04,680
Speaker 3: you say it's name, it's going to be like you talk, yeah,

1167
00:59:05,240 --> 00:59:08,480
Speaker 3: call me. Wait, you're in my house. And so we

1168
00:59:08,560 --> 00:59:10,640
Speaker 3: talk to them before we go into the woods, and

1169
00:59:10,680 --> 00:59:14,280
Speaker 3: we sort of live this life that's pretty connected to

1170
00:59:14,520 --> 00:59:16,560
Speaker 3: the natural world. So I think the other thing too,

1171
00:59:17,880 --> 00:59:22,240
Speaker 3: is there's a fascination with an artificial world because there's

1172
00:59:22,640 --> 00:59:25,600
Speaker 3: a prescribed disconnect with the natural world in order to

1173
00:59:25,720 --> 00:59:29,680
Speaker 3: maintain a sense of colonization and economics the way that

1174
00:59:29,720 --> 00:59:33,040
Speaker 3: it's required today, like you have to be separate from

1175
00:59:33,040 --> 00:59:36,040
Speaker 3: it to say, yeah, cut all the trees down, yeah,

1176
00:59:36,200 --> 00:59:39,760
Speaker 3: like kill off all those buffalo you know, like this

1177
00:59:40,040 --> 00:59:42,800
Speaker 3: these mountain lions scare me, so just murder them, right,

1178
00:59:42,840 --> 00:59:45,120
Speaker 3: and so, but in order to do that, you have

1179
00:59:45,240 --> 00:59:48,960
Speaker 3: to remove yourself, which you know, Christianity kind of did

1180
00:59:48,960 --> 00:59:53,200
Speaker 3: that already. It's like man has domain of everything, including women, right,

1181
00:59:53,240 --> 00:59:56,080
Speaker 3: and it just creates tons and tons of problems because

1182
00:59:56,080 --> 00:59:58,880
Speaker 3: I think human beings and especially we just narrow it

1183
00:59:58,920 --> 01:00:04,200
Speaker 3: down to one gender, don't have enough skills and ability

1184
01:00:04,240 --> 01:00:07,320
Speaker 3: to like manage the universe. It's sort of like, actually,

1185
01:00:07,320 --> 01:00:09,200
Speaker 3: you should just be in the universe and figure out

1186
01:00:09,240 --> 01:00:12,280
Speaker 3: how you're part of that, because you're not. You're in

1187
01:00:12,320 --> 01:00:15,400
Speaker 3: the food chain, you're you're in You're in all these circles,

1188
01:00:15,480 --> 01:00:17,520
Speaker 3: you're in all these cycles, and what you do affect

1189
01:00:17,640 --> 01:00:20,880
Speaker 3: all of these things. And so I like the conversations.

1190
01:00:20,960 --> 01:00:22,479
Speaker 3: I think it's fun. I think it's fun to watch

1191
01:00:22,480 --> 01:00:24,440
Speaker 3: this stuff. You're like, oh, yeah, that is weird and

1192
01:00:24,520 --> 01:00:26,800
Speaker 3: that's pretty cool. But you can also zoom in on

1193
01:00:26,800 --> 01:00:29,120
Speaker 3: your iPhone. It starts to get pretty grainy, and then

1194
01:00:29,120 --> 01:00:30,800
Speaker 3: it's probably pretty easy when you got.

1195
01:00:30,680 --> 01:00:34,160
Speaker 1: To share his camraigns in my house, what the fun

1196
01:00:34,720 --> 01:00:36,600
Speaker 1: I think? I mean, I think that kind of ties

1197
01:00:36,680 --> 01:00:39,280
Speaker 1: nicely into just you know, if you have any additional

1198
01:00:39,280 --> 01:00:43,160
Speaker 1: thoughts on Avatar, but like the reality of you know,

1199
01:00:43,200 --> 01:00:45,800
Speaker 1: what we're doing to the world and other humans and

1200
01:00:45,840 --> 01:00:50,200
Speaker 1: the history of what you know, white people have done

1201
01:00:50,240 --> 01:00:55,240
Speaker 1: to the world and other human beings is maybe too

1202
01:00:55,360 --> 01:00:59,840
Speaker 1: uncomfortable for some people to take in and they want

1203
01:00:59,840 --> 01:01:03,600
Speaker 1: to create an artificial reality. In the case of the Matrix,

1204
01:01:03,640 --> 01:01:06,480
Speaker 1: it's like just coming coming up with a system of

1205
01:01:06,520 --> 01:01:09,720
Speaker 1: belief that like we are in an unofficial reality. But

1206
01:01:09,760 --> 01:01:13,120
Speaker 1: in the case of Avatar, it's like creating an unofficial,

1207
01:01:13,840 --> 01:01:16,800
Speaker 1: like an artificial reality that you can go live in

1208
01:01:17,240 --> 01:01:21,120
Speaker 1: for a couple hours that also like rewrites that history

1209
01:01:21,360 --> 01:01:24,160
Speaker 1: where you get to like be on the good guy side,

1210
01:01:24,320 --> 01:01:27,480
Speaker 1: on the on the side of the victimize the people

1211
01:01:27,600 --> 01:01:32,680
Speaker 1: being victimized by colonialism. Like I do think Avatar is

1212
01:01:32,720 --> 01:01:36,040
Speaker 1: really interesting just as a phenomenon, because I don't, like,

1213
01:01:36,080 --> 01:01:40,080
Speaker 1: I can't think of another cultural, pop cultural thing that

1214
01:01:40,320 --> 01:01:44,760
Speaker 1: was that is as successful as that those movies when

1215
01:01:44,800 --> 01:01:49,560
Speaker 1: they're happening and then as completely embarrassing the second they

1216
01:01:49,600 --> 01:01:52,720
Speaker 1: stop happening, Like like it happened once with the first

1217
01:01:52,800 --> 01:01:55,520
Speaker 1: Avatar and everyone's like, man, that was weird, and like

1218
01:01:55,680 --> 01:01:59,840
Speaker 1: Avatar was like a punchline. But then they did again,

1219
01:02:00,320 --> 01:02:02,919
Speaker 1: like you brought you brought Avatar two out, and every

1220
01:02:03,120 --> 01:02:06,400
Speaker 1: everyone went to fucking see that one too, and like

1221
01:02:06,880 --> 01:02:11,920
Speaker 1: they are the two of the three most top grossing

1222
01:02:11,960 --> 01:02:14,960
Speaker 1: movies of all time, but like nobody would put a

1223
01:02:15,000 --> 01:02:18,680
Speaker 1: movie poster of that movie up except ironically, And so

1224
01:02:19,080 --> 01:02:21,720
Speaker 1: I don't know, I think there's like a weird disconnect.

1225
01:02:21,760 --> 01:02:23,560
Speaker 1: And then we also have the thing where like people

1226
01:02:23,560 --> 01:02:26,600
Speaker 1: were experiencing depression after they came out of the movie

1227
01:02:26,640 --> 01:02:31,480
Speaker 1: because they couldn't just like experience that reality around the clock.

1228
01:02:31,880 --> 01:02:36,880
Speaker 1: So it's definitely filling a need that people have, but

1229
01:02:37,040 --> 01:02:41,600
Speaker 1: one that is disconnected from their mind in a way

1230
01:02:41,680 --> 01:02:45,600
Speaker 1: that like makes it unique where they can't like kind

1231
01:02:45,600 --> 01:02:48,280
Speaker 1: of incorporate it into their lives the way they can

1232
01:02:48,400 --> 01:02:51,640
Speaker 1: a Star Wars or something like that, where they make

1233
01:02:51,680 --> 01:02:54,600
Speaker 1: it part of their personality. Like it just feels like

1234
01:02:54,680 --> 01:02:58,200
Speaker 1: Avatar is this thing that is an experience. The then

1235
01:02:58,280 --> 01:03:01,600
Speaker 1: you like try not to think about when when you're

1236
01:03:01,600 --> 01:03:05,200
Speaker 1: not at an Avatar movie or something. But yeah, I'm

1237
01:03:05,200 --> 01:03:06,760
Speaker 1: curious to hear your thoughts on Avatar.

1238
01:03:07,280 --> 01:03:11,040
Speaker 3: Well, you know, I think largely there's this fascination with

1239
01:03:11,640 --> 01:03:15,440
Speaker 3: white savior films, you know, and so dances with wolves.

1240
01:03:15,640 --> 01:03:18,520
Speaker 3: What was the one dangerous something whether there's like a

1241
01:03:18,520 --> 01:03:21,560
Speaker 3: white school teacher who goes into dangerous minds. Yeah, a

1242
01:03:21,600 --> 01:03:24,320
Speaker 3: black neighborhood, and you know, and and like, there are

1243
01:03:24,440 --> 01:03:28,800
Speaker 3: certainly stories of people who come in and embrace community

1244
01:03:29,040 --> 01:03:31,840
Speaker 3: and become part of it and become something different and

1245
01:03:32,240 --> 01:03:37,240
Speaker 3: do fight racism and fight colonization, you know, but it's

1246
01:03:37,320 --> 01:03:41,080
Speaker 3: it's very rare, especially when they like they win or something.

1247
01:03:41,120 --> 01:03:43,360
Speaker 3: And so I started to think about this stuff quite

1248
01:03:43,400 --> 01:03:46,400
Speaker 3: a bit. And then there's a film called Real Engines

1249
01:03:46,600 --> 01:03:49,720
Speaker 3: which is spelled r e E l I n j

1250
01:03:49,920 --> 01:03:52,960
Speaker 3: u n s, which is a documentary on the history

1251
01:03:53,000 --> 01:03:55,600
Speaker 3: of Native Americans and film, and it kind of goes

1252
01:03:55,640 --> 01:03:58,920
Speaker 3: through a number of different sort of scenarios and at

1253
01:03:58,960 --> 01:04:02,200
Speaker 3: one point it talks about all these different white actors

1254
01:04:02,240 --> 01:04:05,840
Speaker 3: who have played Native Americans, and so there's a growing

1255
01:04:05,880 --> 01:04:08,000
Speaker 3: list of you know, well, you know, there's quite a

1256
01:04:08,080 --> 01:04:12,400
Speaker 3: few of them who have played Native Americans. And then

1257
01:04:12,400 --> 01:04:15,840
Speaker 3: you also just get really interesting things like there's a

1258
01:04:15,840 --> 01:04:19,280
Speaker 3: guy I think his name was Ironized Cody or Cody Ironized,

1259
01:04:19,360 --> 01:04:21,120
Speaker 3: I can never remember which way it goes, but he

1260
01:04:21,200 --> 01:04:24,480
Speaker 3: played so many Native Americans and films that he full

1261
01:04:24,680 --> 01:04:27,960
Speaker 3: on believed he was Native American when he died. And

1262
01:04:28,600 --> 01:04:31,200
Speaker 3: to some extent, I think his children do as well,

1263
01:04:31,840 --> 01:04:36,160
Speaker 3: and so like he can assume this entire identity. And

1264
01:04:36,200 --> 01:04:38,760
Speaker 3: so I think there's a fascination with that to think

1265
01:04:38,760 --> 01:04:44,400
Speaker 3: about what if there was something different. But then there's

1266
01:04:44,440 --> 01:04:47,840
Speaker 3: a disconnect as well, because you don't really see that

1267
01:04:47,960 --> 01:04:51,000
Speaker 3: embraced in people's reality, because if they come out of like,

1268
01:04:51,080 --> 01:04:54,040
Speaker 3: let's say they came out of Avatar and said, whoa like,

1269
01:04:54,160 --> 01:04:57,200
Speaker 3: I should learn an indigenous language, and I should go

1270
01:04:57,320 --> 01:05:00,000
Speaker 3: contribute to a land back initiative, and I should actually

1271
01:05:00,160 --> 01:05:05,400
Speaker 3: do something that's embracing decolonization. Because the film, you could argue,

1272
01:05:05,440 --> 01:05:11,400
Speaker 3: is about decolonization, right, it's a totally fictionalized decolonization, and

1273
01:05:11,440 --> 01:05:14,600
Speaker 3: so you could like if it translated into real action,

1274
01:05:14,840 --> 01:05:17,120
Speaker 3: that would be more interesting to me than just sort

1275
01:05:17,160 --> 01:05:21,720
Speaker 3: of saying, well, you know, it's a nice fantasy to say, oh, yeah, well,

1276
01:05:21,720 --> 01:05:25,280
Speaker 3: what if we had actually done something a lot more

1277
01:05:25,360 --> 01:05:29,200
Speaker 3: humane instead of taking everything from everybody? Because if you

1278
01:05:29,280 --> 01:05:32,160
Speaker 3: look at some things, like we talked a bit about

1279
01:05:32,160 --> 01:05:35,680
Speaker 3: the Supreme Court, who is all kinds of fucked up,

1280
01:05:35,720 --> 01:05:37,600
Speaker 3: like just the types of things that they're doing, these

1281
01:05:37,600 --> 01:05:44,840
Speaker 3: decisions are horrible and they're just destructive for movements towards equity,

1282
01:05:45,120 --> 01:05:47,480
Speaker 3: but the one thing they couldn't do is dismantle the

1283
01:05:47,560 --> 01:05:50,680
Speaker 3: Indian Child Welfare Act, you know. And so the reason

1284
01:05:50,680 --> 01:05:54,440
Speaker 3: why the Indian Child Welfare Act exists is because in

1285
01:05:54,600 --> 01:05:58,120
Speaker 3: the mid to late nineteen seventies, one out of every

1286
01:05:58,200 --> 01:06:01,600
Speaker 3: four Native American children were removed from their homes and

1287
01:06:01,680 --> 01:06:05,560
Speaker 3: placed with white families. In addition, one out of every

1288
01:06:05,640 --> 01:06:10,080
Speaker 3: four Native American women were sterilized without their full consents.

1289
01:06:10,160 --> 01:06:13,320
Speaker 3: Like this kind of stuff was still happening, and so

1290
01:06:13,520 --> 01:06:17,200
Speaker 3: the removal of people and so like the other thing,

1291
01:06:17,280 --> 01:06:19,959
Speaker 3: I think there's a fascination with the idea that colonization

1292
01:06:20,160 --> 01:06:23,280
Speaker 3: had an endpoint or it had like we're in this

1293
01:06:23,400 --> 01:06:27,120
Speaker 3: post colonial sort of world, which we're not, and we

1294
01:06:27,240 --> 01:06:30,800
Speaker 3: could be, but it requires a consciousness that's going to

1295
01:06:30,880 --> 01:06:33,600
Speaker 3: move you beyond going to a movie for two or

1296
01:06:33,680 --> 01:06:36,760
Speaker 3: three hours and completely immersing yourself in this other idea

1297
01:06:36,800 --> 01:06:39,800
Speaker 3: and just saying, actually, we can have a reality that

1298
01:06:39,960 --> 01:06:43,640
Speaker 3: is kind of close to the Avatar universe, which you know,

1299
01:06:43,680 --> 01:06:46,400
Speaker 3: I'm not opposed to that reality, but what I'm opposed

1300
01:06:46,440 --> 01:06:49,320
Speaker 3: to is the idea that it exists, or that going

1301
01:06:49,360 --> 01:06:51,560
Speaker 3: to the movie is somehow enough.

1302
01:06:51,880 --> 01:06:54,400
Speaker 2: Right, right, Yeah, Yeah, it's funny too, because it like

1303
01:06:54,480 --> 01:06:56,360
Speaker 2: to your point, if you're not coming out of the

1304
01:06:56,400 --> 01:06:59,680
Speaker 2: movie being like, wow, we got work to do, then really,

1305
01:06:59,720 --> 01:07:01,640
Speaker 2: then I don't know how good it's doing because most

1306
01:07:01,640 --> 01:07:03,320
Speaker 2: people come out of that movie and be like, why

1307
01:07:03,360 --> 01:07:09,840
Speaker 2: is it Pandora Real? Why can't you go? So the

1308
01:07:09,880 --> 01:07:14,439
Speaker 2: message was maybe like secondary or tertiary to like the Wow,

1309
01:07:14,520 --> 01:07:16,680
Speaker 2: isn't this shit fucking cool? Anyway? Like then there's like

1310
01:07:16,720 --> 01:07:18,800
Speaker 2: some other shit happens to these blue people whatever.

1311
01:07:19,520 --> 01:07:22,040
Speaker 1: I came out and inspired to be seven foot six

1312
01:07:27,160 --> 01:07:29,760
Speaker 1: because that does help with balance, it turns out, yeah,

1313
01:07:29,920 --> 01:07:34,600
Speaker 1: and too well, who knows such a pleasure having you

1314
01:07:34,720 --> 01:07:37,840
Speaker 1: back on the show. Where can people find you? Follow

1315
01:07:37,880 --> 01:07:39,760
Speaker 1: you all that good stuff?

1316
01:07:40,240 --> 01:07:40,479
Speaker 2: Yeah?

1317
01:07:40,520 --> 01:07:44,160
Speaker 3: Well, I have a podcast called The Tongue Unbroken and

1318
01:07:44,280 --> 01:07:47,720
Speaker 3: season two is launching in November, so we're going to

1319
01:07:47,800 --> 01:07:51,880
Speaker 3: launch during the start of the Native American Heritage Month.

1320
01:07:52,520 --> 01:07:55,640
Speaker 3: And the Next Up Initiative is fabulous and I really

1321
01:07:55,720 --> 01:07:59,160
Speaker 3: encourage you to just go check it out. It's the

1322
01:07:59,200 --> 01:08:02,840
Speaker 3: Next Up Initiative with the iHeartRadio and look at the

1323
01:08:02,920 --> 01:08:07,439
Speaker 3: current this whole new generation of Next Up Initiative folks

1324
01:08:07,440 --> 01:08:10,000
Speaker 3: who are coming out and I'm really excited to hear

1325
01:08:10,040 --> 01:08:13,480
Speaker 3: their podcasts and to be a part of this movement

1326
01:08:13,480 --> 01:08:16,559
Speaker 3: where we're trying to find voices in the margins and

1327
01:08:16,640 --> 01:08:20,200
Speaker 3: pull them closer to the center so you can find me.

1328
01:08:20,320 --> 01:08:24,880
Speaker 3: I'm sometimes on Facebook, sometimes on Twitter, although Twitter has

1329
01:08:24,880 --> 01:08:27,240
Speaker 3: gotten a lot less interesting as.

1330
01:08:27,080 --> 01:08:28,080
Speaker 1: They would have to be.

1331
01:08:28,479 --> 01:08:31,880
Speaker 3: Oh, you know, this billionaire bought it and like h

1332
01:08:32,840 --> 01:08:35,360
Speaker 3: and now his tweets just keep popping up, like you know,

1333
01:08:36,080 --> 01:08:38,799
Speaker 3: and so I tried to mute one of his tweets

1334
01:08:38,800 --> 01:08:41,960
Speaker 3: and says, this will make Twitter a better experience for you,

1335
01:08:42,040 --> 01:08:44,040
Speaker 3: and I was like, it will actually make Twitter a

1336
01:08:44,040 --> 01:08:46,120
Speaker 3: better experience for everybody if we saw a lot less

1337
01:08:46,120 --> 01:08:46,799
Speaker 3: of that voice.

1338
01:08:46,880 --> 01:08:47,840
Speaker 4: Yeah, I've been.

1339
01:08:47,800 --> 01:08:50,160
Speaker 1: Getting a lot of AI ads that are just like

1340
01:08:51,120 --> 01:08:55,679
Speaker 1: really insulted, like here, I just screenshok. One crazy thing

1341
01:08:55,720 --> 01:09:00,240
Speaker 1: happened with askdata dot co today, still in shock. I

1342
01:09:00,280 --> 01:09:02,519
Speaker 1: was troubleshooting with a customer on zoom and you'd just

1343
01:09:02,560 --> 01:09:05,120
Speaker 1: gotten his person and it's like keep reading meat day

1344
01:09:05,200 --> 01:09:07,559
Speaker 1: to get it done. And it's like a promoted post

1345
01:09:07,920 --> 01:09:13,400
Speaker 1: for fucking some bullshit. They're all over the place. Anyways,

1346
01:09:13,400 --> 01:09:14,640
Speaker 1: I'm glad I interrupted for that.

1347
01:09:15,080 --> 01:09:15,320
Speaker 2: Yeah.

1348
01:09:17,000 --> 01:09:19,040
Speaker 3: The other thing I really want to promote is just

1349
01:09:19,160 --> 01:09:23,200
Speaker 3: indigenous language revitalization. So if you're not familiar with what

1350
01:09:23,240 --> 01:09:25,960
Speaker 3: the Hawaiian Language Movement day is, or a Jibwe or

1351
01:09:25,960 --> 01:09:28,880
Speaker 3: a Mohawk or the sale is of Spokane, go look

1352
01:09:28,880 --> 01:09:32,280
Speaker 3: at what they're doing. Like it's very possible. So on

1353
01:09:32,479 --> 01:09:35,160
Speaker 3: the Tongue Unbroken, we like to talk about how do

1354
01:09:35,200 --> 01:09:38,120
Speaker 3: you do it? How do you take these steps? If

1355
01:09:38,120 --> 01:09:41,639
Speaker 3: you have a thousand speakers left, if you have ten

1356
01:09:41,720 --> 01:09:44,000
Speaker 3: speakers left, if you have no speakers left of your

1357
01:09:44,000 --> 01:09:47,160
Speaker 3: indigenous language? What kind of steps could you possibly take?

1358
01:09:47,200 --> 01:09:51,000
Speaker 3: And we like to invasion a world where we dream

1359
01:09:51,080 --> 01:09:54,080
Speaker 3: the impossible dream and we get back to a place

1360
01:09:54,120 --> 01:09:58,640
Speaker 3: of strength, which takes action, which takes courage, which takes determination,

1361
01:09:58,800 --> 01:10:02,400
Speaker 3: and also takes a ton of self analysis. Like colonization

1362
01:10:03,080 --> 01:10:06,120
Speaker 3: isn't just about people creating a bunch of harm to people.

1363
01:10:06,160 --> 01:10:10,080
Speaker 3: It's like also the indigenous people internalizing that harm and

1364
01:10:10,080 --> 01:10:12,559
Speaker 3: then hurting each other, which we we got a lot

1365
01:10:12,600 --> 01:10:13,960
Speaker 3: of work to do with that as well.

1366
01:10:14,600 --> 01:10:15,080
Speaker 2: Amazing.

1367
01:10:15,479 --> 01:10:19,840
Speaker 1: Is there a work of media social media that you've

1368
01:10:19,880 --> 01:10:20,519
Speaker 1: been enjoying?

1369
01:10:21,040 --> 01:10:24,000
Speaker 3: Yeah, I think there's two. There's one that's really just

1370
01:10:24,120 --> 01:10:26,519
Speaker 3: funny where there was a girl who gets in a

1371
01:10:26,560 --> 01:10:30,120
Speaker 3: car on Instagram and says like, I worked ten hours.

1372
01:10:30,160 --> 01:10:33,840
Speaker 3: All I want is Wingstop fucking drive hurt.

1373
01:10:34,200 --> 01:10:36,160
Speaker 1: I mean, we get the audio real quick of that,

1374
01:10:36,439 --> 01:10:41,800
Speaker 1: he said, I'm the email, let's watch it just comes in,

1375
01:10:42,920 --> 01:10:47,960
Speaker 1: enters the car on but it's a mass and this

1376
01:10:48,000 --> 01:10:50,519
Speaker 1: guy like puts it to a metal song and it's

1377
01:10:51,000 --> 01:10:53,519
Speaker 1: it's a brilliant piece of social media.

1378
01:10:54,280 --> 01:11:06,479
Speaker 2: Yeah, stop fucking drive.

1379
01:11:07,400 --> 01:11:12,240
Speaker 1: Her phone are dying in the background and they're like, yo,

1380
01:11:12,400 --> 01:11:13,920
Speaker 1: we just picked her up.

1381
01:11:15,760 --> 01:11:18,880
Speaker 3: It's just such a brilliant mashup. And then I think

1382
01:11:18,920 --> 01:11:23,600
Speaker 3: the second one was on TikTok. There's a Maori just

1383
01:11:23,640 --> 01:11:28,080
Speaker 3: a wonderful explanation of what decolonization is and isn't because

1384
01:11:28,080 --> 01:11:30,639
Speaker 3: a lot of people they get really scared of that word.

1385
01:11:31,200 --> 01:11:33,240
Speaker 3: But I think we don't need to be scared of

1386
01:11:33,280 --> 01:11:36,200
Speaker 3: that word. I think we need to understand what people

1387
01:11:36,280 --> 01:11:39,960
Speaker 3: are saying. And it's not the removal of whiteness. It's

1388
01:11:40,000 --> 01:11:43,400
Speaker 3: not going back to some pre contact state. Because sometimes

1389
01:11:43,400 --> 01:11:45,640
Speaker 3: when we talk about decolonization, people are like, well, and

1390
01:11:45,720 --> 01:11:49,000
Speaker 3: give me the keys to your car and your fucking phone, right,

1391
01:11:49,200 --> 01:11:51,640
Speaker 3: And it's like, no, that's not what we're talking about. Like,

1392
01:11:51,760 --> 01:11:54,000
Speaker 3: it's a lot more complex than that, and I think

1393
01:11:54,040 --> 01:11:55,680
Speaker 3: this clip explains it really well.

1394
01:11:56,280 --> 01:11:59,679
Speaker 6: Yeah, colonization is lists about returning to a pre colonial

1395
01:11:59,720 --> 01:12:03,040
Speaker 6: societ and more about recognizing that we live under a

1396
01:12:03,080 --> 01:12:06,000
Speaker 6: colonial system, that things are the way they are not

1397
01:12:06,080 --> 01:12:10,280
Speaker 6: by accident, but because a particular ideology has systematically erased

1398
01:12:10,360 --> 01:12:14,960
Speaker 6: others while normalizing itself. Once something is normalized, it's hard

1399
01:12:15,000 --> 01:12:16,360
Speaker 6: to imagine anything else.

1400
01:12:16,840 --> 01:12:18,799
Speaker 1: We become confined.

1401
01:12:18,200 --> 01:12:22,200
Speaker 6: Within that particular ideology, and then the mindset of hmm,

1402
01:12:22,360 --> 01:12:25,800
Speaker 6: it's always been this way starts to creep in, and

1403
01:12:25,840 --> 01:12:28,719
Speaker 6: then the origins of the colonizers, which in our case

1404
01:12:28,840 --> 01:12:31,559
Speaker 6: was a very violent one, can be forgotten. We start

1405
01:12:31,600 --> 01:12:34,200
Speaker 6: sweeping things under the rug, and that's why many people

1406
01:12:34,240 --> 01:12:37,320
Speaker 6: are confused by things like the Maldi Health Authority and

1407
01:12:37,360 --> 01:12:40,800
Speaker 6: even Ewie settlements. And so when we're able to recognize

1408
01:12:40,800 --> 01:12:44,000
Speaker 6: these structures through what will be a never ending process

1409
01:12:44,040 --> 01:12:47,679
Speaker 6: of decolonization, it helps us move forward towards a society

1410
01:12:47,680 --> 01:12:51,000
Speaker 6: which doesn't just straw inspiration from a diversity of spaces,

1411
01:12:51,280 --> 01:12:53,240
Speaker 6: but is also self aware.

1412
01:12:53,800 --> 01:12:58,559
Speaker 1: Boom boom, awesome, amazing, Thank you, Miles. Where can people

1413
01:12:58,560 --> 01:13:00,599
Speaker 1: find you? What is the work media you be enjoying?

1414
01:13:01,000 --> 01:13:04,679
Speaker 2: Just Miles of gray where they got at symbols don't

1415
01:13:04,840 --> 01:13:09,680
Speaker 2: really have anything. I've been watching. I haven't been on

1416
01:13:09,880 --> 01:13:13,720
Speaker 2: the Internet's Media's much later. Oh y'all just say hey,

1417
01:13:13,760 --> 01:13:17,759
Speaker 2: my new podcast actually talk about that The Good Thief

1418
01:13:18,200 --> 01:13:22,120
Speaker 2: about the Greek robin hood Vasilis Palio Costas. It's really dope.

1419
01:13:22,160 --> 01:13:24,240
Speaker 2: Episode two comes out today. Thank you so much for

1420
01:13:24,280 --> 01:13:27,720
Speaker 2: everybody that's been listening, And if you haven't, I'm telling you,

1421
01:13:27,840 --> 01:13:31,000
Speaker 2: I'm killing it on this podcast. The sound design is amazing,

1422
01:13:31,040 --> 01:13:33,960
Speaker 2: the production team is killing it, and this is like

1423
01:13:34,000 --> 01:13:36,040
Speaker 2: a really easy listen. So if you could support it

1424
01:13:36,040 --> 01:13:38,280
Speaker 2: would mean a lot. But yeah, then that you know

1425
01:13:38,280 --> 01:13:41,679
Speaker 2: where to find me. Yeah, find me on our basketball

1426
01:13:41,680 --> 01:13:44,920
Speaker 2: podcast Miles and Jack got Mad Boosts and also talking

1427
01:13:45,000 --> 01:13:47,479
Speaker 2: ninety day Fiance with Sophia Alexander on four to twenty

1428
01:13:47,560 --> 01:13:48,360
Speaker 2: day Fiance.

1429
01:13:48,920 --> 01:13:51,439
Speaker 1: All Right, you can find me on Twitter. Jack Underscore,

1430
01:13:51,479 --> 01:13:56,479
Speaker 1: Obrian Yeah tweet, I've been enjoying David Underscore, Jay Underscore,

1431
01:13:56,600 --> 01:13:59,639
Speaker 1: Roth tweeted. My father in law is watching a YouTube

1432
01:13:59,720 --> 01:14:03,160
Speaker 1: channel where a guy searches for and sometimes finds old

1433
01:14:03,280 --> 01:14:07,599
Speaker 1: silver dimes. This catchphrase is it's time time. As far

1434
01:14:07,600 --> 01:14:09,679
Speaker 1: as I'm concerned, my father in law is the only

1435
01:14:09,720 --> 01:14:13,720
Speaker 1: person using YouTube properly. I would crossed into that.

1436
01:14:14,040 --> 01:14:15,759
Speaker 2: Yea there, and then.

1437
01:14:15,640 --> 01:14:18,920
Speaker 1: Bergs At a serious man tweeted, I hate when I

1438
01:14:18,960 --> 01:14:22,000
Speaker 1: grab a live wire and everyone sees my damn skeleton.

1439
01:14:24,280 --> 01:14:27,040
Speaker 1: You can find me on Twitter at Jack Underscore O Brian,

1440
01:14:27,080 --> 01:14:29,200
Speaker 1: you can find us on Twitter at Daily Zekeeist. We're

1441
01:14:29,200 --> 01:14:32,000
Speaker 1: at the Daily Zeikeeist on Instagram. We have a Facebook

1442
01:14:32,160 --> 01:14:34,600
Speaker 1: fanpage and a website, Daily zekeeist dot com. When we

1443
01:14:34,680 --> 01:14:38,280
Speaker 1: post our episodes and I are a footnote, we link

1444
01:14:38,320 --> 01:14:40,599
Speaker 1: off to the information that we talked about in today's episode,

1445
01:14:40,640 --> 01:14:42,599
Speaker 1: as well as the song that we think you might enjoy.

1446
01:14:42,760 --> 01:14:46,479
Speaker 1: Well's their song that you think here, well you might enjoy.

1447
01:14:46,840 --> 01:14:48,880
Speaker 3: I think we're gonna go out on this track by

1448
01:14:49,120 --> 01:14:50,200
Speaker 3: sd NAC.

1449
01:14:50,120 --> 01:14:55,000
Speaker 2: E st Ee and Ack, just some good old fashioned

1450
01:14:55,080 --> 01:14:58,479
Speaker 2: head nod wrap for you, hearkening the times of Golden

1451
01:14:58,520 --> 01:15:02,000
Speaker 2: era and Golden era hip hop of New York. This

1452
01:15:02,000 --> 01:15:07,640
Speaker 2: this track called expert Slope thousand, two thousand, two thousand,

1453
01:15:08,040 --> 01:15:10,439
Speaker 2: not Pouba though, but yeah, this is just like a

1454
01:15:10,479 --> 01:15:13,200
Speaker 2: dope track. And you know, for you you sample heads

1455
01:15:13,200 --> 01:15:15,840
Speaker 2: out there, this is like such a I'm getting into

1456
01:15:15,840 --> 01:15:18,560
Speaker 2: production Lingo and I can already hear Marcella make you

1457
01:15:18,600 --> 01:15:21,040
Speaker 2: fun of me. But this sample is chopped up so

1458
01:15:21,240 --> 01:15:23,280
Speaker 2: wacky that it just has like its own swing to

1459
01:15:23,360 --> 01:15:25,559
Speaker 2: it that it's really dope. And I just want to

1460
01:15:25,560 --> 01:15:28,240
Speaker 2: put a bubble jacket on smoke a blunt to stare. Well.

1461
01:15:28,520 --> 01:15:31,320
Speaker 2: So anyway, this Expert Slopes by Estein Nap.

1462
01:15:32,200 --> 01:15:34,439
Speaker 1: All right, well, we'll link off to that in the footnotes.

1463
01:15:34,439 --> 01:15:36,519
Speaker 1: Today ZE is the production of My Heart Radio. For

1464
01:15:36,560 --> 01:15:38,679
Speaker 1: more podcasts from My Heart Radio, visit the Heart Radio

1465
01:15:38,680 --> 01:15:40,400
Speaker 1: w ap Apple podcast, or wherever you listen to your

1466
01:15:40,400 --> 01:15:43,040
Speaker 1: favorite shows. That is gonna do it for us this morning,

1467
01:15:43,600 --> 01:15:46,200
Speaker 1: back this afternoon to tell you what's trending, and we'll

1468
01:15:46,240 --> 01:15:49,559
Speaker 1: talk to y'all then Bye bye the cheese