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Speaker 1: Hello the Internet, and welcome to Season two fifty one,

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Speaker 1: Episode four of Daily Like production of I Heart Radio.

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

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Speaker 1: into America's sharing consciousness. It's Thursday, August two, which means

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Speaker 1: the day before my cool sister Shannon's birthday. Almost to

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Speaker 1: cool Sister Shannon, okay mc shan, shout out to you.

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Speaker 1: Also National Banana split Day, National Kiss and Makeup Day,

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Speaker 1: National Park Service Founder's Day, National second Hand Wardrobe Day.

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Speaker 1: I mean those all work, those all work. I feel

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Speaker 1: like you, like I'm not kissing makeup Day is good

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Speaker 1: that that like gives people an excuse to do something

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Speaker 1: they've been putting off. Yeah, I guess so. And and

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Speaker 1: a quarrel today, you know, reach out and love somebody.

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Speaker 1: I think that's always good. But I'm not. I gotta

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Speaker 1: be honest. I'm not really a big banana splits nan.

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Speaker 1: It feels like healthy, I'm serious. I was like, because

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Speaker 1: I remember as a kid like banansas are like a

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Speaker 1: thing that like it's like go eat your food, eat

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Speaker 1: your bananas and stuff. So I was like, okay, fine,

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Speaker 1: bananas and stuff. I have. I have like one of

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Speaker 1: those potassium allergies. Like where it makes my throat itch.

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Speaker 1: Oh doesn't. Yeah, yeah, same with avocado, but I worked

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Speaker 1: through the avocado paint like it's it's it's a different thing.

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Speaker 1: But like whenever I see a bananas when I'm like,

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Speaker 1: that's vegetables on my ice cream. Let's just keep it

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Speaker 1: as unhealthy as an asparagus split. Good Sunday that's my

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Speaker 1: favorite with an asparagus straw spara shake. Anyways, my name

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Speaker 1: is Jack O'Brien ak. Yeah, jack Horsemans, yeah, Jack horsemen,

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

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Speaker 1: co host Mr Miles. One cast a net into see

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Speaker 1: to make the turtles come to me. Three may maybe

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Speaker 1: yead a few shockis and if we catch some tuna

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Speaker 1: need and four toast yoga Matt Pogey. Five scoop some

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Speaker 1: tuna than at cheese. Whenever they say my saying, which

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Speaker 1: is done a lord a second? One okay, fighter than

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Speaker 1: nightmare giving me Brian McKnight smashing it up with subway tuna. Wow,

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Speaker 1: bless you too of Sunday tuna is where that I'm

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Speaker 1: assuming I'm assuming you're not ordering two six inches Oh no, no, no,

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Speaker 1: that's two ft. That's two ft. You are mostly turtle

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Speaker 1: at this point. My friend and I love that. Shout

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Speaker 1: out to Leonardo, Michael Michelangelo, Donna Tullett, Raphael In Splinter

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Speaker 1: in the crew. Damn you can remember all their names. Yeah,

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Speaker 1: well that was like the real Loki. That was like

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Speaker 1: the earliest, like Japanese representation. I saw a TV to

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Speaker 1: be honest, it was like turtles. This motherfucker named Rokusaki

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Speaker 1: and that's how anyway, So I was like acting like yeah, yeah,

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Speaker 1: I know those names like in school, but it was anyway,

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Speaker 1: shout out them. Well, I'm coming to you from Texas

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Speaker 1: Central time Zone. Your future. I'm in the future was

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Speaker 1: the future like in Dallas. Invest In cowboy hats would

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Speaker 1: be my advice for the future. There was huge in

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Speaker 1: the future, very popular. I have not I have not

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Speaker 1: bought one, but I'm my cowboy hut. My cowboy hats.

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Speaker 1: Stock purchases are are in process process. Yeah. Josie snapped

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Speaker 1: a low key picture of somebody at the airport. She

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Speaker 1: was like, I'm in Dallas. I got I got to

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Speaker 1: Dallas and she snapped a picture and this person was

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Speaker 1: wearing four cowboy hats. There's one on top of the

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Speaker 1: other was just like I'm finally home. I guess as

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Speaker 1: like a stunt or it's like this is how I

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Speaker 1: get my four hats through on a flight. Like like,

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Speaker 1: I think hats like that are hard to travel with

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Speaker 1: because yeah, you can't like fold them up or like

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Speaker 1: roll them up, or if you do, you are bad

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Speaker 1: at traveling with cowboy hats. So I think that's that's man,

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Speaker 1: that's my see, that's my my baseball hat privilege, because

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Speaker 1: you could go to like you could get a little

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Speaker 1: taste for like nine hats and that fits in a backpack.

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Speaker 1: But I'm not out here wearing those big cowboy hats.

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Speaker 1: So well, Miles, We are thrilled to be joined in

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Speaker 1: our third seat by a professor of Alaska Native Languages

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Speaker 1: at the University of Alaska Southeast, an expert of just

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Speaker 1: many many things, the host of the new podcast The

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Speaker 1: Tongue Unbroken from Anna and Joel's Next Up Initiative. Please

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Speaker 1: welcome Dr June Lance Twitch. What's the way you hunt?

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Speaker 1: What is happening? Are you sitting in this chair thinking

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Speaker 1: about this show? Because I've been listening for a long time,

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Speaker 1: so I've I brought lists and lists of things because

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Speaker 1: when you're indigenous, sometimes when people open the door like

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Speaker 1: I gotta go, I gotta put ship everywhere so that

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Speaker 1: we can reserve some spaces for other indigenous people to

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Speaker 1: come here. So I got I don't have an A

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Speaker 1: k A. I've got plenty of I got quite a

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Speaker 1: few indigenous names. I'm very honored to have names like Hayne,

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Speaker 1: which is claimed forever from an elder in Testline named

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Speaker 1: a NASA hash Sam Johnston, and my my first thing

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Speaker 1: it named couldname. But I have two songs. I have

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Speaker 1: two songs for A K A. And I thought of

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Speaker 1: this one is for the old metal heads who grew

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Speaker 1: up in the eighties, a generation X, and so even

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Speaker 1: some of the elder millennials might get the reference. And

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Speaker 1: then I got kind of a newer one because I

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Speaker 1: was get my kids ready for school, and I thought

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Speaker 1: I better have something for the people of today. So okay,

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Speaker 1: we are not, by the way, we appreciate you looking

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Speaker 1: out for us geriatric millennial. Let's go. Okay, here's the

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Speaker 1: first one white man came across the sea. He brought

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Speaker 1: us pain and Missouri. But what the fuck does this

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Speaker 1: song mean? Give the land bag and everything that's an

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Speaker 1: old Iron Maiden song and when I was I was

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Speaker 1: probably ten when that came out, and I would think,

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Speaker 1: what is this And they would have weird video, like

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Speaker 1: if you ever watched the video, it's just weird. And

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Speaker 1: then they're like, they're these white men who are across

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Speaker 1: the sea, singing about white men coming across the sea

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Speaker 1: with us in college, and so I thought, of, this

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Speaker 1: song is kind of weird. So I was in college

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Speaker 1: and I walked past somebody's dorm room and there were

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Speaker 1: it was a white guy and he was blasting this

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Speaker 1: song and I happen to walk by right when it

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Speaker 1: said white man came across the sea, brought his pain

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Speaker 1: and misery, and I just kind of looked at him

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Speaker 1: and he turned it down. Sorry, And I thought, this

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Speaker 1: is a weird situation. And so so here's the second

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Speaker 1: one for for the people of today. Okay, Yes, sometimes

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Speaker 1: all I think about is colonialism, late nights in the

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Speaker 1: middle of colonialism, colonialism being faking this. Uh can I

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Speaker 1: just fucking survived? Now? Yeah, what's the wait? What who

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Speaker 1: does that song? Now? And thinking glass animals? That's glass animals? Yeah, damn,

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Speaker 1: they got so many. Okay, I just know I just

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Speaker 1: know that song is being like, that's that song that's

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Speaker 1: always on the radio. Mm hmm, yeah, yeah, it really

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Speaker 1: blew up. That's how old I am now where I

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Speaker 1: used to be like yo, yeah, to think about you

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Speaker 1: and I'm like, I don't know anything else though, Right

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Speaker 1: where where are you coming to us from? Yeah? I

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Speaker 1: am in a place called quan Any, which somebody decided

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Speaker 1: to name after a guy named Joe Juno. And we'll

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Speaker 1: talk about this kind of stuff a little bit today.

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Speaker 1: Is this is kind of my little narrative of how

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Speaker 1: this stuff were. So Quan is the people of the

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Speaker 1: little Lake, so I live on their land, and get

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Speaker 1: people's are divided kind of into states basically, which are

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Speaker 1: usually have a place named so is the little Lake.

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Speaker 1: And then Kuon is the ancestral people of a place,

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Speaker 1: So I live on their land. I'm very fortunate that

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Speaker 1: they're wonderful hosts. My our ancestral homeland is a little

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Speaker 1: bit north of here, but it's in southeast Alaska on

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Speaker 1: a mathis see. It's called Juno, Alaska. We're trying to

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Speaker 1: get people to start using Quan because that guy he

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Speaker 1: came here. Sure, but I think it kind of kind

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Speaker 1: of works like this. Let's say a long time ago,

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Speaker 1: we're all in a boat and work. We're all for

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Speaker 1: this scenario where all white people and we're checking out

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Speaker 1: these indigenous people's lands. And I'll say, well, I'll go

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Speaker 1: over here and talk to them and I'll be right back.

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Speaker 1: So I go talk to them, and I say, hey,

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Speaker 1: what's that mountain call? And they'll give me a name

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Speaker 1: like Cosa Tungent right hands at Rest. And then I'll

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Speaker 1: come back and they'll say, hey, what they say. It's

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Speaker 1: like they told me that name. That mountain is me.

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Speaker 1: That's how I think it works. That's my mountain. Yeah,

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Speaker 1: that reminds them of me. Yeah, my hands at Rest

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Speaker 1: in particular. Yeah. But anyway, but you guys should come visit.

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Speaker 1: We got we got whales, bears, we got all kinds

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Speaker 1: of cool stuff here. Get a big salmon out of

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Speaker 1: out of the waters. Oh yeah, I love that. Just

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Speaker 1: reach in, pull it out with your hands like a pick,

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Speaker 1: and apples like a bear. Yeah. All right, Well, we

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Speaker 1: are going to get to know you a little bit

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Speaker 1: better in a moment. First, we're gonna tell our listeners

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Speaker 1: a couple of things we're talking about. Joe Biden came

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Speaker 1: through with the debt cancelation ish like, I mean, he's

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Speaker 1: definitely canceling some debt enough that it crashed the funk

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Speaker 1: out of the servers of of the websites where people

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Speaker 1: can go check that shut out and yeah, it's still

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Speaker 1: it's ten thousand, it's ten thousand. It's not. I don't

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Speaker 1: think it's what people were hoping for, but it is

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Speaker 1: means tested. It is nice, nicely triangulated to not piss

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Speaker 1: off the people who donate to him. So we'll talk

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Speaker 1: about that. Suproducer Tricia is going to come on and

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Speaker 1: talk about using technology for language preservation and revitalization and

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Speaker 1: just generally chop it up with about his podcast and

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Speaker 1: language preservation, all of that plenty more. But first, who

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

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Speaker 1: your search history? Yeah? So, uh, the other day I

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Speaker 1: was looking up this raven t shirt by an artist

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Speaker 1: named Jennifer Younger whose thing gets. She lives in Sitka, Alaska,

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Speaker 1: we called Sheca and I was watching She Hulk Attorney

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Speaker 1: at Law, which is fabulous and at the end, the

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Speaker 1: Hulk is wearing this shirt with what looks like it

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Speaker 1: can get design on it, and I was like, wait,

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Speaker 1: wait what and so and then I found then she

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Speaker 1: announced it a little bit after the episode premiered, and

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Speaker 1: it was super exciting just to see, like just to

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Speaker 1: normalize like people wearing some of our stuff. However, like

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Speaker 1: our clans are kind of divided into Raven's side and

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Speaker 1: then there's another side, which is the Eagle or Wolf side,

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Speaker 1: and you marry into the opposite we call them opposite clans.

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Speaker 1: And so if he's wearing a Raven and you know,

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Speaker 1: I'm my clans and is on the Raven side, So

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Speaker 1: then I had to google, well, how old is Mark

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Speaker 1: Ruffalo then, because we have these kinship terms like younger brother,

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Speaker 1: older brother, and he's older than me, so he could

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Speaker 1: now be the Incredible Hunt, which would be the incredible

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Speaker 1: older brother of the same clan. And so I'm gonna

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Speaker 1: have to like patent that, and what do you do?

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Speaker 1: You mail it to yourself, job picture, mail it to himself.

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Speaker 1: Make sure nobody steals that from you. But we're always

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Speaker 1: trying to name things like that little Baby Yoda when

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Speaker 1: that came out, We're trying to name that for us

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Speaker 1: and thinking the first one who named it, like got

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Speaker 1: bragging rice for a day. So that's Yoda, Yodi child Yoda.

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Speaker 1: So but shout out to Jennifer Younger and her work

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Speaker 1: and getting it out there, and to those folks over

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Speaker 1: at Marvel putting something and stuff on the hawk. Do

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Speaker 1: you know how that happened? Like what the what the

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Speaker 1: connection was that that that shirt ended up being on

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Speaker 1: the show? Well, I don't know. I had to look

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Speaker 1: into it, but I will say he wore two different

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Speaker 1: indigenous shirts on on the episode. And I think Mark Ruffalo,

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Speaker 1: to his credit, like when the Dakota Access pipeline protests

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Speaker 1: were happening, like he went there and like it's something

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Speaker 1: like a celebrity doesn't always go and like suffer. You

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Speaker 1: don't suffer with the pepper spray and the attacking dogs

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Speaker 1: and the spraying getting sprayed with the hose and shop

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Speaker 1: you know, fucking rubber bullets. But there were white people

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Speaker 1: who went there and did suffer with the indigenous peoples

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Speaker 1: who were trying to stop this pipeline development from happening

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Speaker 1: on their land, which is going on at the same time.

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Speaker 1: This is kind of jumping back a few years same

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Speaker 1: time as these white ranchers in Oregon are sort of

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Speaker 1: occupying this National Park, and I remember watching the news.

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Speaker 1: I was like, well, where's their pepper spray and where's

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Speaker 1: their rubber bullets? And you know, I do think one

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Speaker 1: of them got killed, which you know, I don't want

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Speaker 1: to get killed, but I do when I see stuff

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Speaker 1: like that, I just think, you know, white people just

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Speaker 1: get a different life. And you know that's no secret.

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Speaker 1: The Bundy's is that. I think that's that's right, Bundy

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Speaker 1: clan and they just like went and like ship all

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Speaker 1: over the that building that they occupied. And then yeah,

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Speaker 1: one of them got shopped. But like when you read

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Speaker 1: the story, it's like they were pulling a gun out.

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Speaker 1: I believe it was pretty uh yeah. Yeah. I got

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Speaker 1: a friend here who's in news, and she was talking

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Speaker 1: about doing some studies on both sides is um and

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Speaker 1: you know, and I was like, well, even like both sides, Like,

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Speaker 1: there's more than two sides to anything, right, You're usually

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Speaker 1: gonna exclude marginalized people if you just boil it down

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Speaker 1: to one side or the other. Right, But like I said,

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Speaker 1: but you should look at this thing, because I would

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Speaker 1: have my students look at that as I just go,

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Speaker 1: go study these two things and tell me what your

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Speaker 1: impression is both in terms of how it's being covered,

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Speaker 1: where it's being covered, and also just what's going on

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Speaker 1: in those places. So but you know, going back like

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Speaker 1: he was there, and so that brings some attention to it,

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Speaker 1: and that brings you know, a celebrity walk around with

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Speaker 1: magnifying glasses on them all the time. So if they

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Speaker 1: go and lend themselves towards things that are leaning towards equity,

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Speaker 1: then that's usually good thing. Right. Yeah, it are people

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Speaker 1: able to like order that T shirt? Yeah, like it's

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Speaker 1: it's actually hard. I was just googling, like Mark Ruffalo

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Speaker 1: she whole Raven T shirt and it was just a

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Speaker 1: bunch of T shirts of Mark Ruffalo as the whole time. Basically, yeah,

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Speaker 1: you know, and so we want to get to it.

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Speaker 1: I think it's Jennifer Younger y O U N G

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Speaker 1: E R Raven shirt and that it should pop up.

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Speaker 1: It was like Janu, I don't even know how to

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Speaker 1: say the company g I N E W. I think

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Speaker 1: is the shirt company? Oh yeah, USA dot com. Yeah,

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Speaker 1: and so good and her stuff is fabulous. She's doing

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Speaker 1: all kinds of engraving. We got like amazing artists who

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Speaker 1: are up here and it's just great to see their

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Speaker 1: work like hitting, you know, and so other things that

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Speaker 1: are going on like she because it's amazing. But if

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Speaker 1: if you're out there, you should check out reservation Dogs,

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Speaker 1: you should check out Rutherford Falls and just to see

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Speaker 1: Molly of Dnally. To have like indigenous representation, like we're

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Speaker 1: talking a little bit about representation earlier, you folks were

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Speaker 1: like with indigenous people's all you had was just these

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Speaker 1: buffoons in Bugs Bunny cartoons. And there's actually a Bugs

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Speaker 1: Bunny cartoon where there's a documentary called Real Engines and

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Speaker 1: and he's up there on a fort and he's shooting

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Speaker 1: Native American people's and so he fires his rifle, bang

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Speaker 1: bang bang bang, and then he goes one little too

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Speaker 1: little three little Indians and then he says, oh, that

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Speaker 1: one was a half breed and he erases the chunk

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Speaker 1: of it, like and that's children's television, Like that's what

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Speaker 1: I grew up with it, like kill them and make

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Speaker 1: fun of them while you're doing. And so to be

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Speaker 1: in a different era now where you have you know,

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Speaker 1: not just like shows that aren't aren't about Native American

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Speaker 1: people at all, but feature some native stuff. And then

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Speaker 1: you also have native content coming up, likely when we Pray.

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Speaker 1: I know someone was here last week with you guys

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Speaker 1: kind of shipping on the movie Pray, which is fine.

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Speaker 1: I think everyone can have their own opinions. I don't

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Speaker 1: want to yuck anybody yucking anybody's yum, but that's my yum.

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Speaker 1: Like like I would just say to yuck anybody yucking

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Speaker 1: anybody's game. All the films that you could think of

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Speaker 1: that have a Native American female as a lead character, right,

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Speaker 1: that's not right for sure, And I think that's what's

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Speaker 1: really yeah to that point to write with all the

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Speaker 1: stuff that's out there, is also kind of a smack

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Speaker 1: in the face that Reservation Dogs got snubbed at the

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Speaker 1: Emmy's because I we watched the show like this is

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Speaker 1: one of the best shows that's come out because they're

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Speaker 1: so authentically being like we don't like, we want to

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Speaker 1: tell a story from our perspective with our right like

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Speaker 1: that's and it gave us something so new and original

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Speaker 1: that I was completely immersed in the show. But yeah,

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Speaker 1: I was like, how the fund does that not getting nominated, right,

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Speaker 1: which is you know, pendulum swings back and forth. I guess, alright,

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Speaker 1: we're gonna link off to Jennifer Younger's stuff in the footnotes.

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Speaker 1: What is something you think is overrated? I got four

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Speaker 1: things because I'll just sit around building lists getting ready

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Speaker 1: for us. I feel like you have something in common

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Speaker 1: with that guy who got to Texas and put on

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Speaker 1: four cowboy hats. He was I got four of these

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Speaker 1: to start taking hat o top of the morn. Let's

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Speaker 1: do it. So I think I did four, but then

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Speaker 1: I'll talk about the last one. So colonialism, the improved

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Speaker 1: order of red men mhm, white people telling me where

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Speaker 1: I belong and naming the land after white men, and like,

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Speaker 1: I know some people are gonna listen to this back,

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Speaker 1: Oh he hates white people. It's not true. It's not true.

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Speaker 1: But I just think there's a lot of work to do.

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Speaker 1: We have thousands and thousands of names on all these

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Speaker 1: different points of land, and almost all of them have

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Speaker 1: been systemically ignored. So it's looking at this this guy

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Speaker 1: named Menden Hall, Right, he's probably a fine person, glacier, yeah, right,

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Speaker 1: but he has like a physicist who had he I

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Speaker 1: don't even think he ever set foot in this land,

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Speaker 1: and he has like like I was picking up this

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Speaker 1: thing from a person He's like, yeah, I live on

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Speaker 1: There's so many Menden Hall things here that if anybody

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Speaker 1: says that you have no idea where to go, it's

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Speaker 1: like Mendenhall Glacier, menden Hall Boulevard, Mendenhall Avenue, Menden Hall

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Speaker 1: point wrote, menden Hall Flats. And I'm like, what's the deal,

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Speaker 1: Like all these places had names, and we can restore

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Speaker 1: those names and then people can just speak our language,

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Speaker 1: which would be really amazing, right, such as such an

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Speaker 1: easy thing to do where suddenly it's like, oh, I'm

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Speaker 1: just by virtue of this real name, I'm learning a

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Speaker 1: language because it's a descriptor and it's not like and

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Speaker 1: we celebrate this fucking guy. Glacier. Also the name of

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Speaker 1: the most terrifying human I've ever encountered, which was my

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Speaker 1: eighth grade basketball coach, had that name. Yeah, man, who

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Speaker 1: to ease your trauma. We gotta get that name off

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Speaker 1: of Get that name off that damn Glacier. Get it

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Speaker 1: out of here. I mean sadly that Glacier may just

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Speaker 1: vanish anyway. So what do you think is underrated? So underrated?

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Speaker 1: Another list? Number one big anti energy so Native American

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Speaker 1: women laughing, teaching you stuff, guiding you that there's so

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Speaker 1: many aunties and who were mother figures to me who

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Speaker 1: were just incredible and just the big, the big loud cackle. There.

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Speaker 1: There's a guy named Don burn Stick who's a Native

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Speaker 1: American comedian and he's kind of a bit which is

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Speaker 1: the ways that Native American women laugh, and if you

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Speaker 1: watch this with Native women like they will laugh that

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Speaker 1: which includes punching you towards the end and doing all

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Speaker 1: type of stuff. And then my other items were Indigenous languages,

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Speaker 1: declonization as life and function, and then like squatting. So

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Speaker 1: I've been learning about squatting my whole life, because you know,

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Speaker 1: we've got land and we also we've lost almost all

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Speaker 1: of our land as Native people. But then sometimes you'll

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Speaker 1: see someone who has a spot and you're like, wo,

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Speaker 1: how do they get that nice house and that nice

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Speaker 1: area and they just like went there and just it's

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Speaker 1: called squatting where you just go and live somewhere and

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Speaker 1: people can't move you, I guess. So I've been using

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Speaker 1: this tactic at our university as we're growing, like this

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Speaker 1: Indigenous studies program. So I'll just go grab a bunch

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Speaker 1: of my stuff and put it in a different office

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Speaker 1: and put it in a different office. And then I

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Speaker 1: was like, I'm just gonna hold this and then we're

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Speaker 1: gonna get someone a job, and then I'm gonna take

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Speaker 1: my stuff someday out of the office. And so that

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Speaker 1: we were so um I learned how to squat from

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Speaker 1: white people, so I can sort of try get our

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Speaker 1: land back through. It's like a reverse against them. Yeah,

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Speaker 1: it's that work as a as a like in a

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Speaker 1: professional setting, he just like occupies someone's office and they're

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Speaker 1: just like, well, I don't want to have this conversation.

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Speaker 1: So if you're indenous, you can only squat on a

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Speaker 1: bend and things that nobody wants. But I'm trying to

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Speaker 1: perfect my technique so that I can start. I won't

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Speaker 1: be as good as some of these some of these

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Speaker 1: folks for that that came here, right, all right, we're

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Speaker 1: gonna take a quick break. We're gonna come back. We're

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Speaker 1: gonna talk about canceling student debt and other stuff. We'll

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Speaker 1: be right back and we're back. And the big story

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Speaker 1: of the day is the Joe Biden canceled exactly ten

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Speaker 1: thousand dollars worth of student debt you know, better than nothing.

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Speaker 1: I think that'scrat slogan Democrats better than nothing, better than nothing, right,

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Speaker 1: better than fascism kind of, uh yeah, palatable fascism. Yeah,

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Speaker 1: I mean that's a good campaign, right, Like we're not

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Speaker 1: super racist, but we're also just dead in the middle,

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Speaker 1: not really doing anything. Yeah, just we're not totally bothered

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Speaker 1: by concerns on the margins. But hey, we're doing the

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Speaker 1: best we can. Yeah. I mean, look, it's another day,

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Speaker 1: another incremental attempt at solving a massive systemic problem that

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Speaker 1: we have in the country, and I'm not doing the

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Speaker 1: best they can. They're they're decidedly not doing the best. No, No,

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Speaker 1: that's frustrating. No, there's there's so much triangulation going on it,

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Speaker 1: like we can't we can't have this group be mad

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Speaker 1: and this group be mad if we want to address

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Speaker 1: systemic inequality. Okay, well, you know currently in the US,

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Speaker 1: obviously we have a terrible go into debt. If you

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Speaker 1: want a degree problem with our university system, it's basically like,

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Speaker 1: you know, you're in and you're sort of socialized, inoculated

404
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Speaker 1: with these thoughts of like you gotta go to college

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Speaker 1: to ender the middle class and then Once you do that,

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Speaker 1: you can have a regular consumer life because you have

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Speaker 1: your paper degree to give you the good jobs. And

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Speaker 1: that leads a lot of people going into pretty massive

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Speaker 1: debt because of this, you know, this sort of cycle

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Speaker 1: that we have right now. There's about forty four and

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Speaker 1: a half million Americans that are dealing with student loan debt,

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Speaker 1: and many will feel relief from this. The administration says,

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Speaker 1: like a lot of people will have their debt canceled,

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Speaker 1: but if you really will, will dig deeper into those

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Speaker 1: numbers because it does leave out mostly you know, marginalized people.

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Speaker 1: Here's what the build actually does. Student debt payment pause

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Speaker 1: is going to be extended through December thirty one. If

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Speaker 1: you have if you've got pell grants, you can receive

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Speaker 1: up to twenty percent in student debt relief, if you

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Speaker 1: ten percent if you did not get pell grants. All

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Speaker 1: of the relief is going to be again means tested,

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Speaker 1: so it's for individuals who make less than five and

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Speaker 1: families who jointly make two fifty thousand. They're also there's

424
00:25:04,240 --> 00:25:06,479
Speaker 1: a thing in the American Rescue Plan that says this

425
00:25:06,560 --> 00:25:09,280
Speaker 1: is not gonna be counted as taxable income. The loan

426
00:25:09,320 --> 00:25:14,439
Speaker 1: forgiveness program applies to federal borrowers from undergraduate and graduate programs,

427
00:25:14,760 --> 00:25:17,800
Speaker 1: and there is like a new repayment structure with a

428
00:25:17,840 --> 00:25:19,879
Speaker 1: cap of like five percent of your income if you

429
00:25:19,880 --> 00:25:24,240
Speaker 1: have undergraduate loans. Sure, okay, those are some things, and

430
00:25:24,440 --> 00:25:26,600
Speaker 1: a lot of people are really looking at this ten

431
00:25:26,640 --> 00:25:29,000
Speaker 1: thousand dollar figure on the right. You just have people

432
00:25:29,040 --> 00:25:31,080
Speaker 1: just piste off in general because they like, don't like

433
00:25:31,160 --> 00:25:35,360
Speaker 1: anything that resembles that an attempt at equally addressing inequality,

434
00:25:35,600 --> 00:25:37,119
Speaker 1: So they're always gonna be piste off. And then there

435
00:25:37,119 --> 00:25:39,760
Speaker 1: are many other people that you see on you know,

436
00:25:39,760 --> 00:25:41,480
Speaker 1: writing op eds. It's like, well, what about the people

437
00:25:41,560 --> 00:25:44,639
Speaker 1: that paid their debts or this isn't what about the

438
00:25:44,680 --> 00:25:46,760
Speaker 1: people who you know, all this stuff. Aren't they going

439
00:25:46,800 --> 00:25:49,560
Speaker 1: to be mad? We're this is this is so terribly unfair.

440
00:25:49,600 --> 00:25:52,199
Speaker 1: But if you're really looking at the issues or the

441
00:25:52,240 --> 00:25:55,560
Speaker 1: whole the way everything is set up is terribly unfair,

442
00:25:55,600 --> 00:25:57,639
Speaker 1: and this is an attempt to try and address that.

443
00:25:58,040 --> 00:26:01,560
Speaker 1: So I think the real concern are that is about

444
00:26:01,600 --> 00:26:04,640
Speaker 1: truly addressing inequality. And just to give you an example,

445
00:26:04,760 --> 00:26:08,560
Speaker 1: black graduates are on average caring about fifty two thousand

446
00:26:08,640 --> 00:26:11,480
Speaker 1: dollars in debt, and many of them are women, and

447
00:26:11,520 --> 00:26:14,920
Speaker 1: the statistics show that relieving debt would be a massive

448
00:26:15,080 --> 00:26:18,399
Speaker 1: step in balancing the scales. Okay, because black and African

449
00:26:18,400 --> 00:26:21,359
Speaker 1: women a back. Black and African American college students owe

450
00:26:21,400 --> 00:26:24,040
Speaker 1: on average of twenty five thousand dollars more in student

451
00:26:24,119 --> 00:26:26,960
Speaker 1: loan debt than white college graduates. So just put that

452
00:26:27,240 --> 00:26:29,280
Speaker 1: in your mind too, and think of that ten thousand

453
00:26:29,520 --> 00:26:32,680
Speaker 1: dollars and if that will actually make things equitable. Four

454
00:26:32,760 --> 00:26:36,000
Speaker 1: years after graduation of black students own average of twelve

455
00:26:36,119 --> 00:26:38,479
Speaker 1: and a half percent more than they borrowed because of

456
00:26:38,760 --> 00:26:42,560
Speaker 1: interest rates. And it isn't just Black Americans, American, Indian

457
00:26:42,560 --> 00:26:46,639
Speaker 1: and Alaska Native students. Those borrowers all the highest monthly

458
00:26:46,680 --> 00:26:49,720
Speaker 1: payments and Black and African American students are the second

459
00:26:49,720 --> 00:26:52,800
Speaker 1: most likely to have monthly payments of three fifty dollars

460
00:26:52,880 --> 00:26:55,919
Speaker 1: or more. And this is also causing things like people

461
00:26:56,280 --> 00:26:59,560
Speaker 1: delaying having families. Thirty three percent of Hispanic student borrows

462
00:26:59,560 --> 00:27:01,760
Speaker 1: say they it off getting married due to their student

463
00:27:01,800 --> 00:27:05,800
Speaker 1: loan situation. Sixty six percent of Black student bars regret

464
00:27:05,960 --> 00:27:09,320
Speaker 1: taking out loans because of the lack of you know,

465
00:27:09,440 --> 00:27:12,360
Speaker 1: mobility they have because they're so saddled with debt. So

466
00:27:12,440 --> 00:27:15,560
Speaker 1: this is a ton of stress on people's shoulders, and

467
00:27:16,760 --> 00:27:20,000
Speaker 1: people are just saying, like, well, can this this does help.

468
00:27:20,040 --> 00:27:22,600
Speaker 1: But if the whole point is to try and say, hey,

469
00:27:23,160 --> 00:27:26,840
Speaker 1: unburden us with this debt, so we can begin to

470
00:27:26,960 --> 00:27:30,480
Speaker 1: live lives that are a little bit seem seemingly more equitable,

471
00:27:30,920 --> 00:27:33,159
Speaker 1: do something that really addresses this. And I think that

472
00:27:33,240 --> 00:27:35,760
Speaker 1: even the interest, doing something about the interest would be

473
00:27:35,800 --> 00:27:39,200
Speaker 1: a huge, huge step. But that's just still kind of,

474
00:27:39,640 --> 00:27:42,240
Speaker 1: you know, floundering. So I guess if we can feel

475
00:27:42,280 --> 00:27:43,919
Speaker 1: good about this if we say, hey, this is a

476
00:27:44,000 --> 00:27:48,000
Speaker 1: first step on a long road to really address really

477
00:27:48,000 --> 00:27:51,080
Speaker 1: like deliver real results for people. But if this is

478
00:27:51,119 --> 00:27:53,440
Speaker 1: just gonna be a hey, vote for me in November

479
00:27:53,680 --> 00:27:57,040
Speaker 1: type deal, this is this is a terrible, terrible misstep

480
00:27:57,040 --> 00:27:58,800
Speaker 1: and it's only gonna you know, we're just kicking the

481
00:27:58,840 --> 00:28:00,840
Speaker 1: can down the road. At this point, presented as a

482
00:28:00,880 --> 00:28:03,440
Speaker 1: first step, was he like, and this is step one

483
00:28:03,760 --> 00:28:06,600
Speaker 1: on a long term thing, because but there was no

484
00:28:06,760 --> 00:28:09,719
Speaker 1: well defined thing, you know, much like how people were

485
00:28:09,720 --> 00:28:12,720
Speaker 1: talking about the Inflation Reduction Act and the climate stuff

486
00:28:12,760 --> 00:28:14,359
Speaker 1: that was addressed in there were like many of the

487
00:28:14,440 --> 00:28:16,520
Speaker 1: people like a lot of I think the more progressives

488
00:28:16,520 --> 00:28:18,119
Speaker 1: are like, hey, you gotta support this because it is

489
00:28:18,160 --> 00:28:21,000
Speaker 1: the first step. I think many people who are critical

490
00:28:21,040 --> 00:28:23,199
Speaker 1: of this bill, like you know other senators, are like,

491
00:28:23,280 --> 00:28:25,600
Speaker 1: this has to be a first step. If you want

492
00:28:25,640 --> 00:28:30,760
Speaker 1: to know how much more powerful capitalism is then democracy,

493
00:28:31,160 --> 00:28:36,560
Speaker 1: like the we are looking out for debt collectors, like

494
00:28:37,680 --> 00:28:41,240
Speaker 1: who don't pull very well? Yeah don't. They don't pull

495
00:28:41,440 --> 00:28:45,280
Speaker 1: very well when you're looking at like democratically, you know

496
00:28:45,480 --> 00:28:49,719
Speaker 1: the opinion polls. Debt collectors don't don't pull that well.

497
00:28:49,720 --> 00:28:54,040
Speaker 1: But we are looking out for them and ignoring just

498
00:28:54,720 --> 00:28:59,400
Speaker 1: the majority of people. We're ignoring a step that would

499
00:28:59,440 --> 00:29:07,240
Speaker 1: make our civilization, like demonstrably would make our civilization work better. Yeah, yeah,

500
00:29:07,280 --> 00:29:10,080
Speaker 1: because I think you're looking at a band aid to

501
00:29:10,200 --> 00:29:13,120
Speaker 1: a systemic problem, and a band aid is something like

502
00:29:13,160 --> 00:29:15,160
Speaker 1: if you're bleeding out and someone gives you a band aid,

503
00:29:15,200 --> 00:29:18,880
Speaker 1: you're like, well, that's something. So I appreciate the thought

504
00:29:21,200 --> 00:29:23,800
Speaker 1: for my sliced carotid artery. Do yes, something more than

505
00:29:23,840 --> 00:29:27,400
Speaker 1: a bandage? I mean, thanks for sure. And they could

506
00:29:27,400 --> 00:29:30,640
Speaker 1: have called it the payback better plan or the better

507
00:29:30,680 --> 00:29:35,120
Speaker 1: payback and so, but I think it's a it's a start.

508
00:29:35,600 --> 00:29:39,560
Speaker 1: I think the systemic problems are we have an inequitable

509
00:29:39,720 --> 00:29:44,160
Speaker 1: system of like how people get money and maintain wealth

510
00:29:44,200 --> 00:29:46,960
Speaker 1: and who gets access to it, and so the best

511
00:29:47,000 --> 00:29:50,480
Speaker 1: schools are very expensive. And so the other thing is

512
00:29:50,520 --> 00:29:53,040
Speaker 1: like if you if you want to get an education,

513
00:29:53,160 --> 00:29:56,000
Speaker 1: you've got to figure out how to enter into these

514
00:29:56,680 --> 00:29:59,440
Speaker 1: loan systems that are predatory by nature. So I think

515
00:29:59,840 --> 00:30:01,680
Speaker 1: I I had a loan through the State of Alaska,

516
00:30:01,800 --> 00:30:04,120
Speaker 1: which wasn't a whole lot of money because I had

517
00:30:04,560 --> 00:30:07,920
Speaker 1: federal loans and federal grants and stuff, and I paid

518
00:30:07,920 --> 00:30:10,440
Speaker 1: those back and I had to get others. You know,

519
00:30:10,480 --> 00:30:12,680
Speaker 1: I still have student loan out there. I know people

520
00:30:12,680 --> 00:30:15,640
Speaker 1: who have so much in student loans like this would

521
00:30:15,640 --> 00:30:20,440
Speaker 1: be probably maybe of what they owe and so they're

522
00:30:20,440 --> 00:30:23,080
Speaker 1: still going to have that. And so but with the state,

523
00:30:23,280 --> 00:30:25,920
Speaker 1: the state loan that I had, I paid that thing

524
00:30:26,000 --> 00:30:29,600
Speaker 1: for probably ten years and it never went down. So

525
00:30:29,600 --> 00:30:32,040
Speaker 1: I don't understand, like, why is there even interest involved

526
00:30:32,040 --> 00:30:34,600
Speaker 1: with this. If you want people to get an education, sure,

527
00:30:34,680 --> 00:30:37,680
Speaker 1: loan on the money, but don't be don't put the

528
00:30:37,720 --> 00:30:40,720
Speaker 1: points on there, you know, like the Sopranos or whatever,

529
00:30:40,760 --> 00:30:44,680
Speaker 1: and that at the end, like when I went to college.

530
00:30:44,680 --> 00:30:47,440
Speaker 1: There are all these booths. They're like, hey, get all

531
00:30:47,480 --> 00:30:50,360
Speaker 1: this free stuff. We'll give you a credit card, get this,

532
00:30:50,400 --> 00:30:53,080
Speaker 1: look at this cool ass stuff, and you just here.

533
00:30:53,160 --> 00:30:54,800
Speaker 1: And then I would just spend that money because I

534
00:30:54,840 --> 00:30:56,640
Speaker 1: didn't know how that stuff working, and grow up with

535
00:30:56,680 --> 00:31:01,240
Speaker 1: financial literacy and and so I think one is just

536
00:31:01,320 --> 00:31:03,920
Speaker 1: trying to why don't we just protect our children while

537
00:31:03,960 --> 00:31:06,280
Speaker 1: they become adults and then also just sort of have

538
00:31:06,360 --> 00:31:10,480
Speaker 1: a system where it's a little bit easier to move up. Whoa, whoa,

539
00:31:10,600 --> 00:31:13,640
Speaker 1: whoa whoa. No, that's that's not some colonizer mentality. Man.

540
00:31:13,680 --> 00:31:16,360
Speaker 1: We're here to fucking and make as much goddamn money

541
00:31:16,360 --> 00:31:19,240
Speaker 1: as possible. I don't care if I'm exciting people with

542
00:31:19,360 --> 00:31:22,640
Speaker 1: debt because they're financially illiterate. But yeah, that is. I mean,

543
00:31:22,680 --> 00:31:26,120
Speaker 1: it's so true, like we we at every turn, the

544
00:31:26,200 --> 00:31:28,680
Speaker 1: United States is just completely incapable of doing what the

545
00:31:28,760 --> 00:31:32,400
Speaker 1: humane thing is without it being without there being some

546
00:31:32,520 --> 00:31:35,640
Speaker 1: calculus about what it does for the business class or

547
00:31:35,760 --> 00:31:38,680
Speaker 1: industry rather than what is the correct thing for the

548
00:31:38,760 --> 00:31:43,040
Speaker 1: human beings that are here. And it's it's so mind

549
00:31:43,040 --> 00:31:45,920
Speaker 1: blowing because the solution seems so easy. Right, we were

550
00:31:45,920 --> 00:31:48,480
Speaker 1: just talking about this with gun control, it's like, we

551
00:31:48,520 --> 00:31:50,920
Speaker 1: don't need less guns, we need more robots and ship

552
00:31:52,000 --> 00:31:56,600
Speaker 1: and fucking drones that have tasers. Tasers are safer than guns.

553
00:31:56,680 --> 00:32:00,880
Speaker 1: At least they're not putting guns on the drone Miles

554
00:32:01,280 --> 00:32:07,240
Speaker 1: well would because the guns going the Boston Dynamics robot dogs.

555
00:32:08,360 --> 00:32:13,880
Speaker 1: And that's yes, it is kind of a wild story

556
00:32:13,880 --> 00:32:16,040
Speaker 1: because again, like you even look at people who work

557
00:32:16,040 --> 00:32:18,760
Speaker 1: in like healthcare and stuff, people need advanced degrees to

558
00:32:18,920 --> 00:32:22,440
Speaker 1: enter public health too. Those jobs don't pay that much either.

559
00:32:23,400 --> 00:32:25,720
Speaker 1: And these are people who are dedicating themselves for like

560
00:32:25,760 --> 00:32:28,400
Speaker 1: a public good, and we're still like, yeah, I don't know,

561
00:32:28,400 --> 00:32:30,360
Speaker 1: here's here's ten grand. They're like, I still owe seventy

562
00:32:30,360 --> 00:32:32,000
Speaker 1: on top of that, plus the interest, this might as

563
00:32:32,040 --> 00:32:34,600
Speaker 1: well not be anything. We're going with the debt collectors

564
00:32:34,680 --> 00:32:39,000
Speaker 1: over the social workers and like that actually probably isn't

565
00:32:39,160 --> 00:32:42,200
Speaker 1: that unpopular when you when you think of just like

566
00:32:42,240 --> 00:32:47,720
Speaker 1: how fucking warped our our current system is, Like why

567
00:32:47,760 --> 00:32:49,720
Speaker 1: they going to social work doesn't pay that well? Like

568
00:32:49,760 --> 00:32:52,160
Speaker 1: what are they thinking? Right? And you're like, I'm sorry,

569
00:32:52,200 --> 00:32:55,080
Speaker 1: that's their fault. It's because they're empathetic people who want

570
00:32:55,120 --> 00:32:57,640
Speaker 1: to help. Yeah, and you should fucking you should be

571
00:32:57,680 --> 00:33:01,200
Speaker 1: out with me fracking. If you're killing it right now,

572
00:33:01,840 --> 00:33:05,760
Speaker 1: it's like you're losing the game. Yeah, right, just extract

573
00:33:05,840 --> 00:33:10,480
Speaker 1: until it's gone. Just coming off the ground, man, I retweeted,

574
00:33:11,080 --> 00:33:13,200
Speaker 1: I hope I say her last name. I heard it, Shelby.

575
00:33:13,360 --> 00:33:17,040
Speaker 1: Now we'll let yesterday said just so we are clear,

576
00:33:17,560 --> 00:33:20,000
Speaker 1: I will not be paying my student loans until I

577
00:33:20,040 --> 00:33:25,120
Speaker 1: get my land back. Yeah. Facts, there's it's wild. How

578
00:33:25,200 --> 00:33:29,360
Speaker 1: much again, there're so we look at the deficit that

579
00:33:29,800 --> 00:33:33,920
Speaker 1: indigenous people, black people who are brought over and like

580
00:33:34,200 --> 00:33:36,440
Speaker 1: to do a chattel slavery and things like that, not

581
00:33:36,560 --> 00:33:38,880
Speaker 1: addressing that deficit that was created from any of that

582
00:33:39,200 --> 00:33:42,160
Speaker 1: being dispossessed of your land or your your liberty and

583
00:33:42,280 --> 00:33:44,040
Speaker 1: still looking at it like I don't know what's wrong

584
00:33:44,080 --> 00:33:47,440
Speaker 1: with them over there, Like we don't. We're never we

585
00:33:47,560 --> 00:33:51,080
Speaker 1: never have the sober fucking analysis of like, yeah, man,

586
00:33:51,200 --> 00:33:55,680
Speaker 1: this set people back fucking centuries, and we're out here

587
00:33:56,720 --> 00:33:59,360
Speaker 1: like sitting on our hands one like scratching our heads.

588
00:33:59,360 --> 00:34:02,000
Speaker 1: What the issue? You know, what the fucking issue is.

589
00:34:02,040 --> 00:34:06,000
Speaker 1: It's as clear as day. Um, but yeah, it's it's Yeah,

590
00:34:06,040 --> 00:34:09,959
Speaker 1: it's very frustrating to live here. Education too, for Native

591
00:34:10,000 --> 00:34:14,319
Speaker 1: American peoples was a tool of assimilation and genocide. And

592
00:34:14,400 --> 00:34:18,799
Speaker 1: so some of the founders of educational systems for Native

593
00:34:18,840 --> 00:34:23,360
Speaker 1: Americans they said, well, I heard this phrase that the

594
00:34:23,440 --> 00:34:26,680
Speaker 1: only good Indian is a dead Indian, and I would

595
00:34:26,719 --> 00:34:29,600
Speaker 1: counter to say, you can kill the Indian and save

596
00:34:29,640 --> 00:34:33,120
Speaker 1: the man, and like, that's a phrase that was coined

597
00:34:33,120 --> 00:34:37,480
Speaker 1: to really sort of energize the boarding school era. You

598
00:34:37,600 --> 00:34:40,840
Speaker 1: had similar things in Canada with the residential school era,

599
00:34:41,480 --> 00:34:44,120
Speaker 1: and so now we need to get an education in

600
00:34:44,239 --> 00:34:47,040
Speaker 1: order to do all these different things. And all I

601
00:34:47,040 --> 00:34:49,279
Speaker 1: think people should get an education, that's what you want

602
00:34:49,320 --> 00:34:52,719
Speaker 1: to do, but it shouldn't cripple you. And also it

603
00:34:52,800 --> 00:34:55,520
Speaker 1: should probably just be free for Native Americans because of

604
00:34:55,560 --> 00:34:59,800
Speaker 1: the educational system and what it's done to two indigenous languages,

605
00:35:00,000 --> 00:35:05,000
Speaker 1: indigenous cultures, and just like you know just how much

606
00:35:05,120 --> 00:35:11,040
Speaker 1: we are typically excluded from everything, education, entertainment, and until

607
00:35:11,080 --> 00:35:12,799
Speaker 1: we get to a point where it feels like we're

608
00:35:12,840 --> 00:35:15,680
Speaker 1: starting to see some equity, it should probably just be

609
00:35:16,719 --> 00:35:20,799
Speaker 1: free for Nave American. I mean, this is kind of

610
00:35:20,800 --> 00:35:24,879
Speaker 1: what's amazing about your podcast, right because man, I, first

611
00:35:24,880 --> 00:35:26,279
Speaker 1: of all, I gotta tall. I was telling you before

612
00:35:26,360 --> 00:35:30,279
Speaker 1: I was, I was like overcome with emotion listening to

613
00:35:30,480 --> 00:35:35,960
Speaker 1: your podcast The Tongue, I'm broken, and yeah, thinking of

614
00:35:36,040 --> 00:35:41,279
Speaker 1: like what it means for like these colonial forces to

615
00:35:41,360 --> 00:35:45,719
Speaker 1: come or people taking you away from your land to

616
00:35:45,960 --> 00:35:49,319
Speaker 1: to like work this other place. You can see you're

617
00:35:49,960 --> 00:35:52,200
Speaker 1: the thrust of it is saying like I don't want

618
00:35:52,200 --> 00:35:55,799
Speaker 1: to allow this to completely erase who we are, what

619
00:35:56,000 --> 00:36:01,040
Speaker 1: what our history is, our languages, and it really puts

620
00:36:01,080 --> 00:36:05,320
Speaker 1: into context how delicate those things are and how quickly

621
00:36:05,400 --> 00:36:08,839
Speaker 1: we lose sight of things vanishing before our eyes like

622
00:36:08,920 --> 00:36:13,040
Speaker 1: that without any consideration, like the process that it goes through.

623
00:36:13,560 --> 00:36:16,840
Speaker 1: And there's a there's a moment in that first episode

624
00:36:16,880 --> 00:36:19,880
Speaker 1: where you're speaking to your kids, and I was, I

625
00:36:19,920 --> 00:36:22,560
Speaker 1: got really overcome with emotion listening to that, because it

626
00:36:22,680 --> 00:36:26,240
Speaker 1: was I can hear from in your voice how important

627
00:36:26,280 --> 00:36:29,960
Speaker 1: it is to you that the that none of this

628
00:36:30,080 --> 00:36:32,799
Speaker 1: is in vain. You know that that you that your

629
00:36:33,120 --> 00:36:35,600
Speaker 1: your your your history and your languages are not are

630
00:36:35,640 --> 00:36:38,080
Speaker 1: not erased, and even you can hear it that what

631
00:36:38,239 --> 00:36:42,280
Speaker 1: you've transmitted to your children and the importance of understanding

632
00:36:42,600 --> 00:36:46,040
Speaker 1: who you are and what that can offer to other people,

633
00:36:46,040 --> 00:36:48,680
Speaker 1: and I think that's so beautiful. And I really just

634
00:36:49,840 --> 00:36:53,120
Speaker 1: I felt that as somebody who like speaks two languages,

635
00:36:53,600 --> 00:36:55,320
Speaker 1: and I think about how much as a kid, I

636
00:36:55,320 --> 00:36:58,080
Speaker 1: would hear Japanese and be excited to be like, oh, wow,

637
00:36:58,120 --> 00:37:00,839
Speaker 1: that's someone I speak that too. That's something I can

638
00:37:00,840 --> 00:37:03,920
Speaker 1: connect with. And and even like other guests you've had

639
00:37:03,920 --> 00:37:05,839
Speaker 1: where they're speaking with people in Cherokee and you're like, oh,

640
00:37:05,880 --> 00:37:09,160
Speaker 1: that's how my grandfather said something, there's so much. There's

641
00:37:09,200 --> 00:37:11,480
Speaker 1: so much. I realized to even with something that seems

642
00:37:11,480 --> 00:37:15,120
Speaker 1: so specific, it's it's so easy to connect to this

643
00:37:15,560 --> 00:37:17,160
Speaker 1: and I don't know, I just I just sort of

644
00:37:17,320 --> 00:37:19,920
Speaker 1: that was my very uh, glowing way of trying to

645
00:37:19,960 --> 00:37:22,480
Speaker 1: transition to talking about your podcast, because I think it

646
00:37:22,520 --> 00:37:25,040
Speaker 1: really is fantastic and I really are like the listeners

647
00:37:25,040 --> 00:37:28,560
Speaker 1: to check it out because it's really amazing. Beca, it's cheeze. Yeah.

648
00:37:28,719 --> 00:37:32,640
Speaker 1: We our language is probably down to about forties speakers

649
00:37:33,320 --> 00:37:37,000
Speaker 1: tend that I would consider master level speakers that they're

650
00:37:37,040 --> 00:37:40,799
Speaker 1: probably irreplaceable at this point. And we we actually we

651
00:37:40,920 --> 00:37:44,080
Speaker 1: just lost one yesterday. Her name is check Club, I

652
00:37:44,160 --> 00:37:48,480
Speaker 1: mean key, and she was beautiful, Like it's so amazing

653
00:37:48,480 --> 00:37:51,880
Speaker 1: when you do this work that like a whole library

654
00:37:51,920 --> 00:37:56,319
Speaker 1: burns down and nobody really knows. But what I try

655
00:37:56,360 --> 00:37:58,920
Speaker 1: to do is to connect with their students and say, Okay,

656
00:37:58,960 --> 00:38:00,640
Speaker 1: this this is gonna be one of the harder parts

657
00:38:00,719 --> 00:38:03,759
Speaker 1: is you're going to learn this language. You're gonna start

658
00:38:03,760 --> 00:38:06,839
Speaker 1: speaking to these older people, and you're going to be

659
00:38:06,880 --> 00:38:10,040
Speaker 1: one of the few people on earth who can understand them.

660
00:38:10,120 --> 00:38:12,160
Speaker 1: And they're gonna share a whole bunch of stuff with

661
00:38:12,239 --> 00:38:14,480
Speaker 1: you that they don't have anyone else to share it with.

662
00:38:15,040 --> 00:38:17,120
Speaker 1: And then you're gonna lose them. But what you have

663
00:38:17,200 --> 00:38:19,440
Speaker 1: to understand is you are now the bridge. You are

664
00:38:19,480 --> 00:38:24,160
Speaker 1: becoming the bridge between them and the future generations. And

665
00:38:24,520 --> 00:38:27,640
Speaker 1: I've got friends who are raising their kids in our language,

666
00:38:27,719 --> 00:38:31,160
Speaker 1: but we probably went sixty years without raising kids in

667
00:38:31,200 --> 00:38:33,319
Speaker 1: our language, and so we had to figure out how

668
00:38:33,320 --> 00:38:35,760
Speaker 1: to do that again. And for a lot of Native

669
00:38:35,760 --> 00:38:39,360
Speaker 1: American languages and native Native American cultures, like I just

670
00:38:39,440 --> 00:38:41,239
Speaker 1: really want people to know that this is a thing.

671
00:38:41,680 --> 00:38:45,040
Speaker 1: We're here, We've been here, we will be here, and

672
00:38:45,120 --> 00:38:50,160
Speaker 1: like we're trying to tell stories about succeeding despite this

673
00:38:50,600 --> 00:38:54,680
Speaker 1: huge genocidal effort, like probably the largest in the world.

674
00:38:54,840 --> 00:38:58,719
Speaker 1: You know, it's not a bragging thing, but just to say, like,

675
00:38:58,800 --> 00:39:02,359
Speaker 1: we've overcome all of this stuff and despite all these

676
00:39:02,400 --> 00:39:06,920
Speaker 1: systemic efforts to completely annihilate us, we're right here. We're speaking,

677
00:39:07,600 --> 00:39:09,920
Speaker 1: and we have kids and they can learn, and we

678
00:39:10,000 --> 00:39:12,640
Speaker 1: have adults who can learn, and we can build programs

679
00:39:12,680 --> 00:39:14,840
Speaker 1: and and so I'm just trying to find other people

680
00:39:14,880 --> 00:39:16,799
Speaker 1: who I could talk to about this stuff. And I

681
00:39:16,840 --> 00:39:21,120
Speaker 1: just talked to Ray taken Alive, who's Lakota, and talking

682
00:39:21,160 --> 00:39:24,080
Speaker 1: about what's going on with their language and how someone

683
00:39:24,200 --> 00:39:26,120
Speaker 1: kind of tried to steal it from them and sell

684
00:39:26,160 --> 00:39:28,839
Speaker 1: it back to them, and and so like there's all

685
00:39:28,880 --> 00:39:32,000
Speaker 1: these wild stories that I think people should know, because

686
00:39:32,040 --> 00:39:35,480
Speaker 1: wherever you live in North America, there's probably a language

687
00:39:35,560 --> 00:39:38,240
Speaker 1: right where you live that's in a lot of trouble.

688
00:39:38,920 --> 00:39:40,680
Speaker 1: And then if we just think about it, and if

689
00:39:40,680 --> 00:39:44,440
Speaker 1: we just think, what can we do? I think colonization

690
00:39:44,640 --> 00:39:49,040
Speaker 1: de dehumanizes indigenous people's intentionally, but I think it also

691
00:39:49,200 --> 00:39:53,440
Speaker 1: dehumanizes the colonizer because you're just not supposed to do

692
00:39:53,560 --> 00:39:59,520
Speaker 1: that kind of stuff, And the act of decolonization rehumanizes everybody,

693
00:39:59,600 --> 00:40:02,719
Speaker 1: and it's it's a better narrative than this one of

694
00:40:03,480 --> 00:40:07,920
Speaker 1: westward expansion and manifest destiny and all this other garbage

695
00:40:07,920 --> 00:40:11,160
Speaker 1: that was kind of invented to keep the momentum going. Yeah,

696
00:40:11,160 --> 00:40:14,359
Speaker 1: you mentioning your conversation with Ray taking alive the the

697
00:40:14,680 --> 00:40:18,920
Speaker 1: this idea that colonialism makes you I think everything has

698
00:40:18,960 --> 00:40:21,920
Speaker 1: already happened, I think is how you put it. Like

699
00:40:21,960 --> 00:40:25,839
Speaker 1: it really resonated with me as somebody who was like

700
00:40:26,360 --> 00:40:31,120
Speaker 1: you know, educated in the United States like public school system,

701
00:40:31,440 --> 00:40:37,680
Speaker 1: and just this idea that like everything was settled law basically,

702
00:40:37,920 --> 00:40:41,160
Speaker 1: and that this was like, you know, we're on this

703
00:40:41,239 --> 00:40:45,120
Speaker 1: progressive march of like western expansion, the Western world is

704
00:40:45,160 --> 00:40:48,920
Speaker 1: as good as it's ever been, and we'd already figured

705
00:40:49,040 --> 00:40:52,040
Speaker 1: we've already like figured everything out basically was like kind

706
00:40:52,040 --> 00:40:56,840
Speaker 1: of part of the story. And then my continuing education

707
00:40:57,360 --> 00:41:00,960
Speaker 1: like has been a process of unlearned all that ship

708
00:41:01,360 --> 00:41:04,040
Speaker 1: and your podcast has been you know, a huge, a

709
00:41:04,120 --> 00:41:07,479
Speaker 1: huge help in that department. But I the more I've

710
00:41:07,560 --> 00:41:11,040
Speaker 1: un learned that stuff, the more I can recognize how

711
00:41:12,000 --> 00:41:17,920
Speaker 1: soul damaging, like the the assumptions, the core assumptions of

712
00:41:18,120 --> 00:41:21,840
Speaker 1: like the colonialism are like just in terms of like

713
00:41:21,920 --> 00:41:25,680
Speaker 1: how you interact, how I interact with the world around

714
00:41:25,760 --> 00:41:29,239
Speaker 1: me and am like turned off to it and think

715
00:41:29,360 --> 00:41:34,799
Speaker 1: that things are settled and like that these horrifying realities

716
00:41:34,840 --> 00:41:38,520
Speaker 1: that we we live around her are necessary, you know,

717
00:41:38,760 --> 00:41:44,120
Speaker 1: as opposed to a bad, you know, consequence of like

718
00:41:44,239 --> 00:41:50,359
Speaker 1: a particularly nasty eddie of human history that like just

719
00:41:50,440 --> 00:41:56,799
Speaker 1: looks like the status quo because we're living with the

720
00:41:56,840 --> 00:42:00,919
Speaker 1: world of history and culture written by colonizers. Yeah, and

721
00:42:00,960 --> 00:42:04,680
Speaker 1: I think overcoming the great denial it's is a major

722
00:42:04,800 --> 00:42:07,520
Speaker 1: part of it, because I think colonialism also sells you

723
00:42:07,600 --> 00:42:11,560
Speaker 1: this idea like if it's not this, it's chaos. Before

724
00:42:11,600 --> 00:42:15,359
Speaker 1: we came here, we're eating each other. They didn't love

725
00:42:15,400 --> 00:42:18,920
Speaker 1: their children, and it was just you know, and I

726
00:42:18,960 --> 00:42:21,600
Speaker 1: think it's it's also just total lies. Like they were

727
00:42:21,680 --> 00:42:25,160
Speaker 1: very sophisticated and rich. Things like we have so many

728
00:42:25,200 --> 00:42:27,360
Speaker 1: people who came among us and said, your language is

729
00:42:27,400 --> 00:42:30,120
Speaker 1: so simple, and I'm like, you can't even talk it.

730
00:42:30,239 --> 00:42:32,920
Speaker 1: You're like, it's there's so much to this language, and

731
00:42:32,960 --> 00:42:35,680
Speaker 1: there's so much. I was in Hawaii in a setting

732
00:42:35,680 --> 00:42:39,239
Speaker 1: Hawaiian and and uh, I was sitting with someone at

733
00:42:39,239 --> 00:42:41,440
Speaker 1: a bar, and I left and I came back, and

734
00:42:41,520 --> 00:42:43,879
Speaker 1: then someone else sat next to them, was talking to them,

735
00:42:43,920 --> 00:42:47,080
Speaker 1: and we're saying, you know, Hawaiian is such an easy language,

736
00:42:47,120 --> 00:42:49,560
Speaker 1: like he learned it like a weekend, you know. So

737
00:42:49,640 --> 00:42:52,160
Speaker 1: I said to him, Oh, you know Hawaiian. That's really cool.

738
00:42:52,200 --> 00:42:55,000
Speaker 1: We should speak Hawaiian. I'm learning Hawaiian, you know. And

739
00:42:55,040 --> 00:42:56,760
Speaker 1: he says, oh, no, I don't. I don't know Hawaiian.

740
00:42:56,840 --> 00:42:59,840
Speaker 1: I said, oh, well, you must know Hawaiian because you

741
00:43:00,040 --> 00:43:03,080
Speaker 1: said how easy it is to speak Hawaiian. So you've

742
00:43:03,080 --> 00:43:05,080
Speaker 1: got to know it in order to know that, right,

743
00:43:05,200 --> 00:43:10,319
Speaker 1: And you know. So, I think but one of the

744
00:43:10,360 --> 00:43:12,600
Speaker 1: things that I want people to know, and I think

745
00:43:12,719 --> 00:43:15,839
Speaker 1: everybody should know through the educational system, if we can

746
00:43:15,880 --> 00:43:20,239
Speaker 1: reform this big, ugly thing. It's like to actually do

747
00:43:20,280 --> 00:43:22,880
Speaker 1: this work and to look at this stuff that's not

748
00:43:22,960 --> 00:43:25,920
Speaker 1: the scary part that like, if you can learn indigenous

749
00:43:25,960 --> 00:43:29,160
Speaker 1: language and speak it, there's so much fun and loving

750
00:43:29,239 --> 00:43:32,520
Speaker 1: stuff that that happens, and it's funny and it's it

751
00:43:32,680 --> 00:43:35,719
Speaker 1: feels good. But to just ignore it and to let

752
00:43:35,760 --> 00:43:38,680
Speaker 1: them die, which I think is sort of the myth

753
00:43:38,719 --> 00:43:42,960
Speaker 1: of modernity, in the myth of cultural hegemony, is like, well,

754
00:43:43,000 --> 00:43:45,360
Speaker 1: it's well, it would have been nice to do something,

755
00:43:45,360 --> 00:43:47,920
Speaker 1: but we can't do anything now. But I think that's

756
00:43:48,000 --> 00:43:50,399
Speaker 1: the system trying to sort of convince you to just

757
00:43:50,480 --> 00:43:53,399
Speaker 1: let it happen. But you don't have to because it's

758
00:43:53,440 --> 00:43:55,839
Speaker 1: a choice and we can make a better choice. Yeah,

759
00:43:55,840 --> 00:44:00,839
Speaker 1: it's assumption that like things like it's just settled and

760
00:44:01,280 --> 00:44:04,600
Speaker 1: just accepted as they are, like you're saying, it can

761
00:44:04,600 --> 00:44:08,319
Speaker 1: evenly to people who do have backgrounds that are like

762
00:44:08,440 --> 00:44:11,560
Speaker 1: originate from outside the US, saying well, I'm just American now,

763
00:44:12,239 --> 00:44:14,719
Speaker 1: you know, like I'm here because this happens to a

764
00:44:14,760 --> 00:44:17,200
Speaker 1: lot of kids with immigrant parents. They might tell you

765
00:44:17,239 --> 00:44:18,840
Speaker 1: a lot, or they might not tell you much about

766
00:44:19,360 --> 00:44:22,319
Speaker 1: where you come from. I was very blessed that be

767
00:44:22,640 --> 00:44:26,080
Speaker 1: like told like you're like this is Japanese or speaking Japanese,

768
00:44:26,120 --> 00:44:29,080
Speaker 1: and I had the benefit of having enough media around

769
00:44:29,120 --> 00:44:31,840
Speaker 1: that's in Japanese that I could learn my own language

770
00:44:31,960 --> 00:44:34,799
Speaker 1: very easily, and even listening to your show, I'm like,

771
00:44:34,920 --> 00:44:38,040
Speaker 1: damn man, Like so many of these opportunities are not

772
00:44:38,080 --> 00:44:41,960
Speaker 1: available to many other cultures because of this like systemic

773
00:44:41,960 --> 00:44:45,680
Speaker 1: erasure of it and it it yeah really like really

774
00:44:45,680 --> 00:44:48,520
Speaker 1: has me thinking so much about how much more I

775
00:44:48,560 --> 00:44:52,160
Speaker 1: can know myself or my own history because especially with

776
00:44:52,480 --> 00:44:56,080
Speaker 1: even being like you know black and my grandparents coming

777
00:44:56,120 --> 00:44:58,799
Speaker 1: from the Southeast, Like I know that one of my

778
00:44:59,080 --> 00:45:02,880
Speaker 1: great great great grandmothers was I believe married to a

779
00:45:02,960 --> 00:45:06,799
Speaker 1: Cherokee man, and but then that was gone, like that's

780
00:45:06,840 --> 00:45:09,399
Speaker 1: just a it's a picture and a memory, and then

781
00:45:09,440 --> 00:45:12,600
Speaker 1: nobody talked about it, and then that it took years

782
00:45:12,600 --> 00:45:15,080
Speaker 1: for me to even know anything like that about myself.

783
00:45:15,560 --> 00:45:19,200
Speaker 1: And it's wild, how yeah, how how even how we

784
00:45:19,280 --> 00:45:21,120
Speaker 1: just even in our own lives will be like yeah,

785
00:45:21,160 --> 00:45:23,800
Speaker 1: well that happened, and I'm here now. But there is

786
00:45:23,840 --> 00:45:27,400
Speaker 1: a process of like reclaiming and re understand actually relearning

787
00:45:27,400 --> 00:45:31,200
Speaker 1: your history that you you're sort of resurrecting. Well, we

788
00:45:31,320 --> 00:45:34,400
Speaker 1: got two people that I know that can speak Japanese

789
00:45:34,400 --> 00:45:37,000
Speaker 1: already and then learned thing gets so you could be

790
00:45:37,120 --> 00:45:39,160
Speaker 1: number three and the jack you could. You can learn

791
00:45:39,160 --> 00:45:41,480
Speaker 1: thing it to you guys, come here, we'll look at bears,

792
00:45:41,520 --> 00:45:44,360
Speaker 1: will learn thing it. So there's all the good jokes

793
00:45:44,400 --> 00:45:47,080
Speaker 1: and thinking, there's all this funny stuff like hey, I

794
00:45:47,080 --> 00:45:49,960
Speaker 1: want to get punched because she's laughing so hard. Yeah

795
00:45:50,840 --> 00:45:54,040
Speaker 1: right there, I'm like a big laughs to count me in, right,

796
00:45:54,200 --> 00:45:55,879
Speaker 1: that happened to me one time, Like you know, someone

797
00:45:56,040 --> 00:45:58,279
Speaker 1: teasing someone and then she punched me. I was like,

798
00:45:58,280 --> 00:46:00,880
Speaker 1: I didn't even say the thing is laughing while she

799
00:46:01,760 --> 00:46:06,400
Speaker 1: knew it was coming. All right, we are going to

800
00:46:06,480 --> 00:46:08,600
Speaker 1: take a quick break and then we're gonna be joined

801
00:46:08,640 --> 00:46:12,640
Speaker 1: by super producer Tricia to talk about how technology can

802
00:46:12,680 --> 00:46:18,000
Speaker 1: be used in the effort to preserve and revitalize and

803
00:46:18,760 --> 00:46:22,279
Speaker 1: some of the languages that you're talking about on your show.

804
00:46:22,680 --> 00:46:36,600
Speaker 1: So we'll be right back. And we're back, and we

805
00:46:36,640 --> 00:46:41,680
Speaker 1: are thrilled to be joined by super producer Tricia mccourgee. Hello, Hello,

806
00:46:43,080 --> 00:46:45,520
Speaker 1: how's your phone? First of all, that's how what I was.

807
00:46:46,760 --> 00:46:50,160
Speaker 1: It is still with me, Jack, but it is disintegrating. Unfortunately,

808
00:46:50,239 --> 00:46:53,000
Speaker 1: there's like those weird streaks coming in from the corners.

809
00:46:53,080 --> 00:46:58,720
Speaker 1: So it's haunted. Your your phone is haunted and trying

810
00:46:58,760 --> 00:47:04,960
Speaker 1: to leave this plan of existence. So Tricia is bringing

811
00:47:05,200 --> 00:47:09,399
Speaker 1: you You're bringing us a story about how we can

812
00:47:09,480 --> 00:47:13,479
Speaker 1: use technology for some of the things that I talks

813
00:47:13,520 --> 00:47:16,759
Speaker 1: about in his show. And and also just to add

814
00:47:16,800 --> 00:47:19,960
Speaker 1: to the conversation we're just having. Yeah, thank you for

815
00:47:20,040 --> 00:47:23,160
Speaker 1: having me. And I'm just so happy to be here

816
00:47:23,160 --> 00:47:26,759
Speaker 1: and be talking about language with I was listening to

817
00:47:26,800 --> 00:47:28,920
Speaker 1: your podcast the past couple of weeks, and it is

818
00:47:29,000 --> 00:47:32,359
Speaker 1: incredible and just like Myles said, definitely got a little

819
00:47:32,400 --> 00:47:36,320
Speaker 1: teary eyed. Um. Yeah, I was just thinking about how

820
00:47:36,400 --> 00:47:38,680
Speaker 1: in the end of the first episode, when you're talking

821
00:47:38,960 --> 00:47:42,560
Speaker 1: with your kids and they know, I mean, obviously they're

822
00:47:42,600 --> 00:47:45,759
Speaker 1: pretty young, but they know that their language is something

823
00:47:45,800 --> 00:47:49,359
Speaker 1: that's important to them, something that's been disappearing and been

824
00:47:49,400 --> 00:47:52,359
Speaker 1: taken away and been kind of stolen and erased. Um.

825
00:47:52,760 --> 00:47:56,360
Speaker 1: And I also, I mean, I didn't speak English until

826
00:47:56,360 --> 00:48:00,160
Speaker 1: I was five. I spoke Bangla, but I've complete You've

827
00:48:00,200 --> 00:48:02,360
Speaker 1: forgotten so much of it. I don't know how to

828
00:48:02,400 --> 00:48:05,200
Speaker 1: read it write. So now it's like I'm in my

829
00:48:05,320 --> 00:48:08,560
Speaker 1: twenties and I'm trying to relearn and re teach myself

830
00:48:08,600 --> 00:48:11,120
Speaker 1: all these things, which is so much more difficult than

831
00:48:11,200 --> 00:48:14,440
Speaker 1: just knowing it in the first place. Yeah. Well, you know,

832
00:48:14,880 --> 00:48:17,120
Speaker 1: we we talked about this kind of stuff too, because

833
00:48:17,160 --> 00:48:19,960
Speaker 1: I think if if children grow up with the language,

834
00:48:20,320 --> 00:48:22,960
Speaker 1: like they learn it really fast and then they sort

835
00:48:22,960 --> 00:48:25,520
Speaker 1: of start to level off, and if it don't start learning,

836
00:48:25,560 --> 00:48:29,280
Speaker 1: they learned pretty slow typically and then sort of take off.

837
00:48:29,320 --> 00:48:32,720
Speaker 1: And so we one is, as we're sort of building

838
00:48:32,719 --> 00:48:35,960
Speaker 1: these environments where kids can be raised in the language,

839
00:48:35,960 --> 00:48:38,239
Speaker 1: Like right after this, I'm going to our language next

840
00:48:38,320 --> 00:48:41,360
Speaker 1: to go work with kids. You know. So it's funny

841
00:48:41,400 --> 00:48:44,440
Speaker 1: because sometimes we're working with the kids and kids can

842
00:48:44,480 --> 00:48:48,320
Speaker 1: just be handful. Sometimes these kids are gonna kill this

843
00:48:48,440 --> 00:48:51,759
Speaker 1: language because they're so tough. But I'm just kidding. I

844
00:48:51,880 --> 00:48:54,560
Speaker 1: love They're so fun. They're so funny, and you know,

845
00:48:54,600 --> 00:48:56,560
Speaker 1: like my kids, they make jokes all the time, like

846
00:48:56,680 --> 00:49:00,160
Speaker 1: if you spoke toling kids like you catch my no out.

847
00:49:00,200 --> 00:49:01,880
Speaker 1: I was like, I said, and playing it? What do

848
00:49:01,880 --> 00:49:03,880
Speaker 1: you know about fling it? And she says, but you know,

849
00:49:03,960 --> 00:49:09,759
Speaker 1: so of course she says that right resonates with me.

850
00:49:12,880 --> 00:49:15,759
Speaker 1: We got all the far jokes, all the other things right,

851
00:49:15,760 --> 00:49:18,319
Speaker 1: and they're really fun. But the other thing is like

852
00:49:18,960 --> 00:49:22,680
Speaker 1: we do have adults who have a tremendous amount of trauma,

853
00:49:22,760 --> 00:49:26,600
Speaker 1: and I think people who sometimes come here to the

854
00:49:26,680 --> 00:49:30,760
Speaker 1: United States can relate to this, Like sometimes your parents

855
00:49:30,840 --> 00:49:34,080
Speaker 1: will stop speaking to you to protect you just so

856
00:49:34,160 --> 00:49:36,440
Speaker 1: you don't have an accent, and people don't you know,

857
00:49:36,640 --> 00:49:38,799
Speaker 1: people are just mean. And also they'll put you in

858
00:49:38,800 --> 00:49:40,440
Speaker 1: the s L classes. I have a friend he was

859
00:49:40,520 --> 00:49:42,680
Speaker 1: He's Korean and they just they put him in the

860
00:49:42,840 --> 00:49:47,600
Speaker 1: s L because he's Korean, Like he spoke English just fine.

861
00:49:47,719 --> 00:49:51,280
Speaker 1: And so there's these, you know, stigmas that are out there.

862
00:49:51,320 --> 00:49:54,920
Speaker 1: But and for Native Americans, like when when folks went

863
00:49:54,960 --> 00:49:58,480
Speaker 1: to boarding school, they were tortured, they put chemicals and

864
00:49:58,560 --> 00:50:01,400
Speaker 1: kids mouths. They they had them put their tongues on

865
00:50:01,480 --> 00:50:05,359
Speaker 1: the frozen flagpoles like there, picking them up by their hair,

866
00:50:05,520 --> 00:50:09,160
Speaker 1: doing like such horrible stuff that a lot of folks

867
00:50:09,160 --> 00:50:10,960
Speaker 1: as they became parents. So I got to make sure

868
00:50:11,000 --> 00:50:13,719
Speaker 1: that doesn't happen to my kids. And then as you

869
00:50:13,760 --> 00:50:16,400
Speaker 1: grow up, like you, you're denied this stuff that is

870
00:50:16,440 --> 00:50:20,840
Speaker 1: actually essential for your survival. So sometimes coming back to

871
00:50:20,920 --> 00:50:24,040
Speaker 1: the language, it's not just the difficulty of learning a language,

872
00:50:24,360 --> 00:50:26,480
Speaker 1: but it's all this other stuff too, is you have

873
00:50:26,600 --> 00:50:31,520
Speaker 1: to heal and reconnect, which is wonderful, but sometimes you've

874
00:50:31,520 --> 00:50:34,280
Speaker 1: got to overcome a lot of pain to do that. Mhm.

875
00:50:35,000 --> 00:50:39,000
Speaker 1: Interesting you were you were looking into like kind of

876
00:50:39,120 --> 00:50:41,839
Speaker 1: the double edged sword that is technology when it when

877
00:50:41,880 --> 00:50:45,719
Speaker 1: it comes to this sort of stuff, right, yeah, exactly. So,

878
00:50:45,880 --> 00:50:48,560
Speaker 1: as I was talking about, I'm relearning Bangla, which is

879
00:50:48,600 --> 00:50:51,719
Speaker 1: my native language, and one thing that I've been doing

880
00:50:51,760 --> 00:50:54,840
Speaker 1: recently to help me is that I downloaded the keyboard

881
00:50:54,920 --> 00:50:57,880
Speaker 1: with the Bengali alphabet, and that just got me thinking

882
00:50:57,920 --> 00:51:01,680
Speaker 1: about how I think the fact that so many people

883
00:51:01,680 --> 00:51:04,600
Speaker 1: around the world have access to technology and the internet

884
00:51:04,600 --> 00:51:08,080
Speaker 1: now it's much it's easy, you know, to think in

885
00:51:08,120 --> 00:51:11,120
Speaker 1: English or to think in Spanish or Mandarin, when these

886
00:51:11,160 --> 00:51:13,120
Speaker 1: are these really big languages that a lot of people

887
00:51:13,239 --> 00:51:16,560
Speaker 1: can use to communicate. Um. I imagine if you're in

888
00:51:16,600 --> 00:51:19,600
Speaker 1: a community without a ton of access to the outside

889
00:51:19,640 --> 00:51:24,040
Speaker 1: world constantly, it would be much easier to just continue

890
00:51:24,040 --> 00:51:27,600
Speaker 1: speaking your native language. But just like we've talked about

891
00:51:27,640 --> 00:51:31,600
Speaker 1: previously in the show, technology has a lot of negative effects.

892
00:51:31,840 --> 00:51:36,040
Speaker 1: You know, we've talked about mental health, we've talked about misinformation.

893
00:51:36,840 --> 00:51:40,320
Speaker 1: But I was kind of just thinking, how can technology

894
00:51:40,320 --> 00:51:45,839
Speaker 1: be used to preserve languages and revitalized languages, And yeah,

895
00:51:45,880 --> 00:51:48,120
Speaker 1: I was curious before I start kind of talking about

896
00:51:48,120 --> 00:51:53,000
Speaker 1: my own research, What are your thoughts about technology? Yeah,

897
00:51:53,000 --> 00:51:56,279
Speaker 1: I think it can. It can lend itself and in

898
00:51:56,360 --> 00:52:00,600
Speaker 1: so many different ways, like we connect through zoom we

899
00:52:00,760 --> 00:52:03,319
Speaker 1: zoom and a lot of our classes and we have

900
00:52:03,480 --> 00:52:06,480
Speaker 1: been even before the pandemic, Like we're using that because

901
00:52:07,239 --> 00:52:10,360
Speaker 1: we have over sixty sounds in the thing it language

902
00:52:10,360 --> 00:52:14,759
Speaker 1: and if you need to hear the difference between and uh,

903
00:52:15,560 --> 00:52:17,520
Speaker 1: you know, like we have so many different sounds that

904
00:52:17,600 --> 00:52:21,120
Speaker 1: all sound the same, but they are distinctively different sounds.

905
00:52:21,160 --> 00:52:24,919
Speaker 1: And and you might be saying, you know, butt hole

906
00:52:25,000 --> 00:52:28,320
Speaker 1: instead of saying something else, right, Or feather and fart

907
00:52:28,760 --> 00:52:34,720
Speaker 1: feather is ont like downy feathers on and a fart

908
00:52:35,000 --> 00:52:38,880
Speaker 1: is flat, and like that's such a those are so

909
00:52:39,000 --> 00:52:43,120
Speaker 1: close together, right, and so we intentionally do you think

910
00:52:43,160 --> 00:52:46,920
Speaker 1: they're intentionally close together because are somewhat soft, and featheries

911
00:52:47,080 --> 00:52:49,359
Speaker 1: well they can kind of kind of float out there

912
00:52:49,440 --> 00:52:53,680
Speaker 1: and come down to the surface. But and and so

913
00:52:54,600 --> 00:52:58,080
Speaker 1: I kind of became obsessed with finding really high fidelity

914
00:52:58,320 --> 00:53:01,040
Speaker 1: so people can hear, because we tried to teach through

915
00:53:01,080 --> 00:53:04,080
Speaker 1: the telephone and it was very difficult because some people

916
00:53:04,120 --> 00:53:07,120
Speaker 1: couldn't even hear the end of a word. And then

917
00:53:07,200 --> 00:53:11,600
Speaker 1: when sometimes things would come out through educational technologies, you'd

918
00:53:11,640 --> 00:53:15,400
Speaker 1: be it sounds like you're listening to some bootleg downloaded

919
00:53:15,600 --> 00:53:18,480
Speaker 1: MP three, you know, just the way it's compressing the audio.

920
00:53:19,200 --> 00:53:22,200
Speaker 1: And so we found that Zoom you could get into

921
00:53:22,239 --> 00:53:25,480
Speaker 1: the options and have it uncompressed audio, and that really helped.

922
00:53:26,000 --> 00:53:30,200
Speaker 1: And then even going back, we've had languages recorded. You know,

923
00:53:30,400 --> 00:53:32,600
Speaker 1: the earliest recordings we have are by the late eighteen

924
00:53:32,640 --> 00:53:35,839
Speaker 1: hundreds early nineteen hundreds, and those are on wax cylinders,

925
00:53:35,880 --> 00:53:38,600
Speaker 1: and we had ones recorded on wires, then real, the real,

926
00:53:39,280 --> 00:53:42,080
Speaker 1: and so we have a lot of documentation of our

927
00:53:42,160 --> 00:53:45,880
Speaker 1: language thanks to technology. And now now the technology is

928
00:53:45,920 --> 00:53:49,080
Speaker 1: in these learning apps. Like there's a group that we

929
00:53:49,120 --> 00:53:51,680
Speaker 1: work with and I'm on the board called seven Thousand

930
00:53:51,719 --> 00:53:55,239
Speaker 1: Languages that they fund raised and they say, if we

931
00:53:55,320 --> 00:53:58,280
Speaker 1: raise enough money, will come in and develop a learning

932
00:53:58,320 --> 00:54:00,840
Speaker 1: app for free, you know, like we will not. We're

933
00:54:00,840 --> 00:54:03,719
Speaker 1: try not to charge anybody. But then sometimes if those

934
00:54:03,760 --> 00:54:08,040
Speaker 1: technologies exist, people be like, well we almost died, but

935
00:54:08,080 --> 00:54:11,440
Speaker 1: then we got Rosetta stoned. So but then but then

936
00:54:11,480 --> 00:54:13,680
Speaker 1: people don't do the work to learn the language and

937
00:54:13,719 --> 00:54:16,359
Speaker 1: to use it, and so you have to it has

938
00:54:16,360 --> 00:54:20,879
Speaker 1: to be the human beings changing their lives, creating that room.

939
00:54:20,920 --> 00:54:24,080
Speaker 1: But I think technology can be as long as it's

940
00:54:24,120 --> 00:54:26,719
Speaker 1: just a tool in the box and it's not it's

941
00:54:26,760 --> 00:54:28,879
Speaker 1: not the car that it's not the self driving car

942
00:54:28,920 --> 00:54:33,120
Speaker 1: that takes you there, right. Yeah, So I was actually

943
00:54:33,120 --> 00:54:35,719
Speaker 1: reading about something that sounds quite similar to what you're

944
00:54:35,760 --> 00:54:39,960
Speaker 1: talking about. It's a website called First Voices. Have you

945
00:54:40,000 --> 00:54:43,319
Speaker 1: heard of it? Yeah? Okay, yeah, So I was just

946
00:54:43,400 --> 00:54:46,080
Speaker 1: going through and I thought it was so awesome. You

947
00:54:46,080 --> 00:54:51,280
Speaker 1: can select a language and see different words, phrases, songs, stories,

948
00:54:51,360 --> 00:54:54,879
Speaker 1: and the alphabet with like pretty high fidelity recordings and

949
00:54:55,360 --> 00:54:58,799
Speaker 1: also so interesting that low quality recordings can just take

950
00:54:58,920 --> 00:55:01,440
Speaker 1: away so much from language. That's something that I didn't

951
00:55:01,440 --> 00:55:04,960
Speaker 1: really think about. And actually, one interesting thing that I

952
00:55:05,040 --> 00:55:10,320
Speaker 1: noticed on that website was because I imagine in many

953
00:55:10,520 --> 00:55:15,839
Speaker 1: realms technology is can be exploited, and as much as

954
00:55:15,840 --> 00:55:18,279
Speaker 1: we want to preserve indigenous languages, we don't want them

955
00:55:18,280 --> 00:55:21,560
Speaker 1: to be exploited. So I thought it was this really

956
00:55:21,680 --> 00:55:25,719
Speaker 1: cool feature where each tribes archive has an administrator who

957
00:55:25,760 --> 00:55:28,880
Speaker 1: can make certain recordings private so that only members of

958
00:55:28,920 --> 00:55:31,880
Speaker 1: that community can access them. So they do this for

959
00:55:32,160 --> 00:55:35,480
Speaker 1: things like prayers or sacred songs, so that only the

960
00:55:35,480 --> 00:55:38,160
Speaker 1: people who are supposed to listen to them can but

961
00:55:38,239 --> 00:55:43,839
Speaker 1: they're still preserved and documented, and so yeah, I was wondering, like,

962
00:55:43,920 --> 00:55:47,120
Speaker 1: what do you think in terms of privacy or technology

963
00:55:47,160 --> 00:55:51,160
Speaker 1: being used, you know, can it can it harm indigenous

964
00:55:51,280 --> 00:55:53,839
Speaker 1: or native communities if we don't know enough about that

965
00:55:53,920 --> 00:55:57,600
Speaker 1: their actual priorities and interests. Well, I think I'm always

966
00:55:57,640 --> 00:56:00,839
Speaker 1: nervous about being exploited because it just tends, it just

967
00:56:00,840 --> 00:56:04,960
Speaker 1: tends to happen, right, And so this raven shirt that

968
00:56:05,120 --> 00:56:09,640
Speaker 1: was on the whole, like, they'll probably be fifty copies

969
00:56:09,719 --> 00:56:13,640
Speaker 1: of it made by you know, non indigenous people's yet tomorrow, right,

970
00:56:14,120 --> 00:56:17,440
Speaker 1: and and so that that tends to happen. But and

971
00:56:17,600 --> 00:56:20,799
Speaker 1: we have these conversations too, because there's these databases. One

972
00:56:20,880 --> 00:56:23,560
Speaker 1: I think it's called more Cut I might have said

973
00:56:23,600 --> 00:56:26,760
Speaker 1: that wrong, but where basically you can set access level,

974
00:56:26,840 --> 00:56:29,560
Speaker 1: so if you're of the clan, you can have access

975
00:56:29,560 --> 00:56:32,279
Speaker 1: to a whole bunch more information. And we have conversations

976
00:56:32,320 --> 00:56:36,839
Speaker 1: like that as well, where before not everything was for everybody,

977
00:56:36,880 --> 00:56:40,160
Speaker 1: But then you also have a language that's really close

978
00:56:40,960 --> 00:56:43,160
Speaker 1: got close to death, and as we try to sort

979
00:56:43,200 --> 00:56:45,719
Speaker 1: of push the language everywhere, sometimes we have to have

980
00:56:45,760 --> 00:56:48,960
Speaker 1: conversations about, well, maybe it is for everybody now, but

981
00:56:49,040 --> 00:56:52,040
Speaker 1: you just you don't translate it because you've got full encryption,

982
00:56:52,160 --> 00:56:56,319
Speaker 1: like Plankett is fully encrypted. And so we had co

983
00:56:56,520 --> 00:56:58,920
Speaker 1: talkers who were in World War Two, and you know,

984
00:56:58,960 --> 00:57:01,960
Speaker 1: people couldn't of course you couldn't understand what they're saying, right,

985
00:57:02,000 --> 00:57:05,080
Speaker 1: and so, but I think as we sort of look

986
00:57:05,120 --> 00:57:09,200
Speaker 1: at those things to just store information make it accessible

987
00:57:09,840 --> 00:57:11,520
Speaker 1: for me, I always want to say, like what's going

988
00:57:11,560 --> 00:57:14,640
Speaker 1: to get people to it, and what's how can we

989
00:57:14,680 --> 00:57:19,200
Speaker 1: remove any barriers? So, like we fought for a number

990
00:57:19,240 --> 00:57:22,600
Speaker 1: of years at the University of Alaska Southeast to say,

991
00:57:22,760 --> 00:57:25,000
Speaker 1: can't we just make these classes a free option, Like

992
00:57:25,000 --> 00:57:26,840
Speaker 1: if you want to learn your indigenous language, why do

993
00:57:26,840 --> 00:57:28,440
Speaker 1: you got to pay the state of Alaska? Why do

994
00:57:28,440 --> 00:57:32,080
Speaker 1: you gotta pay tuition? And so we we started supplementing

995
00:57:32,120 --> 00:57:34,600
Speaker 1: that with lots of scholarships for Indigenous people. So, and

996
00:57:34,600 --> 00:57:37,240
Speaker 1: then we just said, if you don't want the college credit,

997
00:57:37,520 --> 00:57:39,360
Speaker 1: you could just join us. It's free. You could just

998
00:57:39,480 --> 00:57:41,960
Speaker 1: check it out and just just try and create these

999
00:57:42,000 --> 00:57:45,880
Speaker 1: safe spaces for learning, these safe spaces for using. So

1000
00:57:46,120 --> 00:57:47,880
Speaker 1: I think it can be good. And then you can

1001
00:57:47,960 --> 00:57:52,760
Speaker 1: have maybe information that's pretty sensitive because if we just

1002
00:57:53,200 --> 00:57:55,960
Speaker 1: told you in English, like where one of our medicine

1003
00:57:55,960 --> 00:57:58,600
Speaker 1: people were buried, some would go and dig them up

1004
00:57:58,600 --> 00:58:01,480
Speaker 1: and steal all the stuff. That's just what happens to us.

1005
00:58:01,480 --> 00:58:05,360
Speaker 1: Like I was in his training, and this is Banana's

1006
00:58:05,600 --> 00:58:08,880
Speaker 1: so as in this training called the Native American Graves

1007
00:58:08,880 --> 00:58:11,600
Speaker 1: and Protection Act. And this guy said, there's about two

1008
00:58:11,640 --> 00:58:14,960
Speaker 1: million Native Americans today. This is twenty years ago. And

1009
00:58:15,120 --> 00:58:19,920
Speaker 1: there are more Native American human remains in colleges and

1010
00:58:20,040 --> 00:58:24,560
Speaker 1: universities and museums then there are walking the earth today.

1011
00:58:24,680 --> 00:58:27,720
Speaker 1: And I said, can you repeat that, because I don't

1012
00:58:27,760 --> 00:58:31,439
Speaker 1: think it's not registering in my brain, and so he did.

1013
00:58:31,600 --> 00:58:35,840
Speaker 1: And so for for me, like everything that you could

1014
00:58:35,880 --> 00:58:39,720
Speaker 1: conceive of has been taken from us, and so I

1015
00:58:39,760 --> 00:58:45,400
Speaker 1: think what's important is technology and money and then totally

1016
00:58:45,480 --> 00:58:49,840
Speaker 1: reforming education. And I think the reform that I could

1017
00:58:49,880 --> 00:58:52,320
Speaker 1: imagine because like if you live in Alaska and you

1018
00:58:52,360 --> 00:58:55,080
Speaker 1: want to graduate high school, you gotta take one semester

1019
00:58:55,120 --> 00:58:57,640
Speaker 1: of Alaska Native language. You just you just have to

1020
00:58:57,680 --> 00:59:01,600
Speaker 1: do it. And so for me, I think I think

1021
00:59:01,600 --> 00:59:05,640
Speaker 1: the technology can certainly help. I think sometimes we'll chase

1022
00:59:05,640 --> 00:59:08,479
Speaker 1: the technology and it was sunset and then we'll lose,

1023
00:59:08,520 --> 00:59:10,000
Speaker 1: Like we had a bunch of stuff that was in

1024
00:59:10,080 --> 00:59:13,080
Speaker 1: flash and we can't do anything with you. You can

1025
00:59:13,160 --> 00:59:16,040
Speaker 1: watch it now, but you can't really do anything with it,

1026
00:59:16,160 --> 00:59:21,360
Speaker 1: like as far as an interactive platform anymore. R Yeah,

1027
00:59:21,520 --> 00:59:24,520
Speaker 1: like I think when I was growing up and fascinated

1028
00:59:24,560 --> 00:59:29,439
Speaker 1: to learn of the Native American civilizations that we're here

1029
00:59:29,480 --> 00:59:35,360
Speaker 1: before colonialization, the narrative I always heard was, but Native

1030
00:59:35,360 --> 00:59:38,160
Speaker 1: American civilizations were like an oral tradition, so like we

1031
00:59:38,200 --> 00:59:40,959
Speaker 1: don't have any of like we don't have like their

1032
00:59:40,960 --> 00:59:45,640
Speaker 1: records basically, and like the the degree to which that's

1033
00:59:45,640 --> 00:59:49,440
Speaker 1: not true, and that there's an entire galaxy of like

1034
00:59:49,600 --> 00:59:56,280
Speaker 1: unstudied philosophy and literature from the history of indigenous tribes

1035
00:59:56,400 --> 01:00:00,440
Speaker 1: that like goes untouched or unexplored. Just be be cause

1036
01:00:00,760 --> 01:00:04,920
Speaker 1: like to your point earlier about the language is not

1037
01:00:05,000 --> 01:00:09,600
Speaker 1: being used but being usable and translatable like that that

1038
01:00:09,920 --> 01:00:15,160
Speaker 1: feels like it should be the growth area of the

1039
01:00:15,200 --> 01:00:19,720
Speaker 1: future of academia. Is like there is a whole world

1040
01:00:20,200 --> 01:00:25,320
Speaker 1: that is totally that that gave us the many of

1041
01:00:25,360 --> 01:00:28,800
Speaker 1: the best ideas of the past five hundred years, like

1042
01:00:28,880 --> 01:00:31,920
Speaker 1: many of the ideas that like America today is like

1043
01:00:32,000 --> 01:00:35,680
Speaker 1: we came up with this, this is America's like grand tradition,

1044
01:00:35,800 --> 01:00:39,120
Speaker 1: and we came up with democracy and like all these

1045
01:00:39,480 --> 01:00:42,440
Speaker 1: all the different like the the way that the checks

1046
01:00:42,440 --> 01:00:46,360
Speaker 1: and balances work and the contradictions of American government is like, no,

1047
01:00:46,480 --> 01:00:51,560
Speaker 1: that ship, you stole that from indigenous and native tribal

1048
01:00:52,080 --> 01:00:56,920
Speaker 1: societies and then like just tried to bury them and

1049
01:00:56,960 --> 01:00:59,880
Speaker 1: tried to bury that reality. And like the the fact

1050
01:01:00,080 --> 01:01:03,240
Speaker 1: that it just sits there and is unstudied as like

1051
01:01:03,880 --> 01:01:07,760
Speaker 1: it I gets. I don't know how academia like reconciles

1052
01:01:07,880 --> 01:01:11,280
Speaker 1: that other than to just ignore the funk out of it. Yeah, yeah,

1053
01:01:11,360 --> 01:01:13,960
Speaker 1: I got. I got a friend named Mike Navarro and

1054
01:01:13,960 --> 01:01:16,520
Speaker 1: and we both work at the university, and I always

1055
01:01:16,520 --> 01:01:23,320
Speaker 1: call him Dave Navarro like in meetings, which is so

1056
01:01:21,360 --> 01:01:26,720
Speaker 1: you know, I'm like, how damn it? Well, he and

1057
01:01:26,760 --> 01:01:29,600
Speaker 1: I are writing a paper about this, saying like, Okay,

1058
01:01:29,600 --> 01:01:34,720
Speaker 1: it's not too late for science to decolonize itself because science, sciences,

1059
01:01:34,760 --> 01:01:39,960
Speaker 1: and mathematics in America are super colonial by just excluding people.

1060
01:01:40,080 --> 01:01:42,680
Speaker 1: And so you've got centuries where they could have been

1061
01:01:42,760 --> 01:01:46,280
Speaker 1: learning so much like we've been fishing and cutting fish

1062
01:01:46,640 --> 01:01:50,360
Speaker 1: right here since they were mammoths walking around, like we

1063
01:01:50,360 --> 01:01:53,920
Speaker 1: were walking around with them, speaking our same language, doing

1064
01:01:53,920 --> 01:01:56,960
Speaker 1: our same stuff, you know. And so with with that

1065
01:01:57,160 --> 01:02:01,760
Speaker 1: unbroken chain of knowledge like that would be coming into

1066
01:02:01,880 --> 01:02:04,640
Speaker 1: science in ways that doesn't threaten it. Like, so I

1067
01:02:04,720 --> 01:02:08,000
Speaker 1: had a Dean, who was not a good person to

1068
01:02:08,040 --> 01:02:12,360
Speaker 1: work with, and and he said, indigenous ecological knowledge is

1069
01:02:12,400 --> 01:02:15,680
Speaker 1: a threat to natural sciences, And I said, what the

1070
01:02:15,760 --> 01:02:18,800
Speaker 1: hell are you talking about? Like this is all additive stuff.

1071
01:02:18,800 --> 01:02:21,000
Speaker 1: It's not a one thing or the other, and it's

1072
01:02:21,040 --> 01:02:24,640
Speaker 1: not ecological knowledge, it's just indigenous science. Like we have

1073
01:02:24,720 --> 01:02:27,120
Speaker 1: science too, we have knowledge, we have all this stuff.

1074
01:02:27,680 --> 01:02:30,400
Speaker 1: But I think it freaks him out because we'll say, oh, yeah,

1075
01:02:30,400 --> 01:02:32,160
Speaker 1: well this guy got turned into a salmon and he

1076
01:02:32,240 --> 01:02:33,720
Speaker 1: was a salmon for a year and he came back

1077
01:02:33,760 --> 01:02:36,360
Speaker 1: and that's how we know this stuff. And that's just

1078
01:02:36,400 --> 01:02:41,640
Speaker 1: not acceptable for them, right right, Yeah, underscores that mindset too.

1079
01:02:41,680 --> 01:02:43,800
Speaker 1: It's like, no, this is the one true thing. I

1080
01:02:43,840 --> 01:02:45,720
Speaker 1: don't know. Yeah, maybe you've been looking at it for

1081
01:02:45,760 --> 01:02:47,920
Speaker 1: a long time either, But that's a threat to my

1082
01:02:48,080 --> 01:02:52,600
Speaker 1: like supremacy ideology where I know everything, so please, Like

1083
01:02:52,760 --> 01:02:55,600
Speaker 1: it's it's such a transparent way to say that it's

1084
01:02:55,600 --> 01:02:59,480
Speaker 1: actually a threat to that, Like I'm sorry, how because

1085
01:02:59,480 --> 01:03:02,480
Speaker 1: then it because I feel fred it hapens the idea

1086
01:03:02,520 --> 01:03:07,440
Speaker 1: that we know everything right and we're rightfully where we

1087
01:03:07,480 --> 01:03:10,200
Speaker 1: are because of that and not because we're stealing ideas.

1088
01:03:10,240 --> 01:03:12,600
Speaker 1: And then absconding with them back to Europe. Like, I

1089
01:03:12,640 --> 01:03:15,600
Speaker 1: thought of something interesting when I was in word. Actually,

1090
01:03:17,000 --> 01:03:22,640
Speaker 1: let me write this down. Yeah, I was kind of curious, um,

1091
01:03:22,720 --> 01:03:25,600
Speaker 1: because there's a lot of linguistic theories out there. One

1092
01:03:25,640 --> 01:03:29,040
Speaker 1: of them is that the language you speak determines how

1093
01:03:29,120 --> 01:03:33,560
Speaker 1: you see the world. And I was wondering when, like,

1094
01:03:34,600 --> 01:03:37,320
Speaker 1: can you tell us about some of the ways that

1095
01:03:37,480 --> 01:03:41,560
Speaker 1: speaking to get changes how you perhaps see the world. Yeah,

1096
01:03:41,600 --> 01:03:44,360
Speaker 1: that's a really interesting question. As when I was studying

1097
01:03:44,440 --> 01:03:47,680
Speaker 1: in Hawaii and I was learning Hawaiian and us speaking

1098
01:03:47,720 --> 01:03:52,160
Speaker 1: with a guy who's tomorrow from Guama seems tin pungy

1099
01:03:52,480 --> 01:03:55,920
Speaker 1: and this friend of mine day Hooe who's mohawk, and

1100
01:03:55,920 --> 01:03:58,360
Speaker 1: and I was asked myself, when you speak your own language,

1101
01:03:58,360 --> 01:04:01,440
Speaker 1: when speak a different language, are you from person? And

1102
01:04:01,480 --> 01:04:03,160
Speaker 1: we all had to think about that for a while,

1103
01:04:03,320 --> 01:04:05,720
Speaker 1: and most people said, well, I'm the same person, but

1104
01:04:05,760 --> 01:04:09,400
Speaker 1: I think differently. And so I noticed as I started

1105
01:04:09,400 --> 01:04:11,120
Speaker 1: to learn more and more than get like if I

1106
01:04:11,120 --> 01:04:13,480
Speaker 1: get really mad at a friend of mine, I would

1107
01:04:13,520 --> 01:04:15,560
Speaker 1: speak to them and think it first, even if they

1108
01:04:15,560 --> 01:04:17,720
Speaker 1: didn't understand it. Then I would say I need to

1109
01:04:17,760 --> 01:04:20,520
Speaker 1: ground myself in my language for a second. Before I

1110
01:04:20,520 --> 01:04:23,520
Speaker 1: talk to you about why I'm mad that we got

1111
01:04:23,520 --> 01:04:25,480
Speaker 1: in a fight while we're playing basketball, or it's just

1112
01:04:25,520 --> 01:04:28,320
Speaker 1: like weird things, you know. But then when you can

1113
01:04:28,360 --> 01:04:33,120
Speaker 1: talk to these elders and uh, for some of them,

1114
01:04:33,160 --> 01:04:35,640
Speaker 1: they're kind of on their deathbed and we're sending videos

1115
01:04:35,680 --> 01:04:38,000
Speaker 1: back and forth to each other through their family members,

1116
01:04:38,920 --> 01:04:41,600
Speaker 1: and like just this idea, like we can share stuff

1117
01:04:41,640 --> 01:04:45,680
Speaker 1: that it might be impossible to actually translate the impact

1118
01:04:45,720 --> 01:04:48,360
Speaker 1: of this stuff, and then we can sort of there's

1119
01:04:48,360 --> 01:04:50,840
Speaker 1: a whole bunch of concepts, like just concept after the

1120
01:04:50,960 --> 01:04:54,080
Speaker 1: concept that I think doesn't always translate because we're not

1121
01:04:54,120 --> 01:04:57,440
Speaker 1: just saying the same thing in a different language. We're

1122
01:04:58,000 --> 01:05:01,360
Speaker 1: touching base with with the these different realities and these

1123
01:05:01,400 --> 01:05:04,040
Speaker 1: different things. And then I had an uncle who was

1124
01:05:04,120 --> 01:05:07,680
Speaker 1: his name was co Plaine Paul Jackson, and his name

1125
01:05:07,920 --> 01:05:10,600
Speaker 1: certainly sounds like big rabbit. But he get mad if

1126
01:05:10,600 --> 01:05:14,160
Speaker 1: I said, is that big rabbit? He get doctor rabbit

1127
01:05:15,320 --> 01:05:18,960
Speaker 1: and it sounds like But he was a wonderful teacher,

1128
01:05:19,080 --> 01:05:21,520
Speaker 1: but he would get mad if I wrote stuff down,

1129
01:05:21,800 --> 01:05:24,360
Speaker 1: because I would write down. I write down everything I hear.

1130
01:05:24,400 --> 01:05:26,919
Speaker 1: I just carry these notebooks and I just I would

1131
01:05:26,960 --> 01:05:28,960
Speaker 1: just go to the elders and talk to them and

1132
01:05:29,000 --> 01:05:31,320
Speaker 1: just write down everything and try and like put these

1133
01:05:31,360 --> 01:05:35,840
Speaker 1: pieces together because I felt an urgency to learn as

1134
01:05:35,920 --> 01:05:37,920
Speaker 1: much as I can so I can teach it to people.

1135
01:05:38,800 --> 01:05:41,919
Speaker 1: And he said, stop writing it down. Your your brain

1136
01:05:42,000 --> 01:05:45,080
Speaker 1: is gonna get weak. And then there was an an

1137
01:05:45,080 --> 01:05:47,800
Speaker 1: elder who was quite con which is a nation that's

1138
01:05:47,920 --> 01:05:50,360
Speaker 1: north of us, and she said, you know people used

1139
01:05:50,400 --> 01:05:53,120
Speaker 1: Her name is Katherine Atla. She said, people said that

1140
01:05:53,200 --> 01:05:56,440
Speaker 1: we were inferior because we didn't write things down. But

1141
01:05:56,480 --> 01:05:58,480
Speaker 1: I could tell you a story that takes ten days

1142
01:05:58,480 --> 01:06:01,280
Speaker 1: to tell and and you would have to read that

1143
01:06:01,320 --> 01:06:04,920
Speaker 1: story because you can't remember that amount of information anymore.

1144
01:06:05,480 --> 01:06:07,919
Speaker 1: And so it was also sort of challenging those types

1145
01:06:07,960 --> 01:06:11,439
Speaker 1: of things. And so I think yes, because as you learn,

1146
01:06:11,800 --> 01:06:14,760
Speaker 1: cling get it. Also it just unlocked some stuff on

1147
01:06:14,800 --> 01:06:17,200
Speaker 1: the land, like if a language has been in one

1148
01:06:17,280 --> 01:06:22,160
Speaker 1: place for over fifteen thousand years, like it is embedded

1149
01:06:22,200 --> 01:06:25,680
Speaker 1: in the landscape. Like we had a bear that chased

1150
01:06:25,760 --> 01:06:28,440
Speaker 1: us off a couple of years ago while we're smoking fish,

1151
01:06:28,560 --> 01:06:30,880
Speaker 1: and there are three of us there and we're all

1152
01:06:30,920 --> 01:06:33,800
Speaker 1: working on the fish without chasing the sliw garage. And

1153
01:06:33,840 --> 01:06:36,000
Speaker 1: so I decided to stay and work on the fish

1154
01:06:36,040 --> 01:06:39,400
Speaker 1: and just watch it. And hunked the horn us in

1155
01:06:39,480 --> 01:06:41,360
Speaker 1: a van like I'm not gonna I'm not going one

1156
01:06:41,360 --> 01:06:46,320
Speaker 1: on one with no bear. That's a loose situation. But

1157
01:06:47,000 --> 01:06:48,920
Speaker 1: beat the horn and it would take off. And then

1158
01:06:49,760 --> 01:06:51,760
Speaker 1: this buddy of mine, his name was Wayne Price, he's

1159
01:06:51,760 --> 01:06:56,200
Speaker 1: an amazing carver, and he said, well, uncle Smidty, say,

1160
01:06:56,200 --> 01:06:57,880
Speaker 1: if you speak cling get to the bears, they will

1161
01:06:57,960 --> 01:06:59,840
Speaker 1: leave you alone. And I said, of course I knew that,

1162
01:07:00,560 --> 01:07:03,160
Speaker 1: but the bear scared me and I forgotten silly. So

1163
01:07:03,200 --> 01:07:07,840
Speaker 1: then not even ten minutes later, I'm outside, you know,

1164
01:07:08,560 --> 01:07:11,360
Speaker 1: getting the smoke going again in the smoke house, and

1165
01:07:11,400 --> 01:07:13,560
Speaker 1: that bear comes walking up and I just said to

1166
01:07:13,600 --> 01:07:24,120
Speaker 1: it and think it na. So I said, this is

1167
01:07:24,120 --> 01:07:26,880
Speaker 1: sn't yours. You know where your food is, it's it's

1168
01:07:26,880 --> 01:07:30,000
Speaker 1: in the river. Maybe go to the river, you know, sorry,

1169
01:07:30,040 --> 01:07:32,600
Speaker 1: but this is this for us. And the way it

1170
01:07:32,640 --> 01:07:35,800
Speaker 1: looked at me and left, I knew it was never

1171
01:07:35,840 --> 01:07:39,080
Speaker 1: coming back. And it didn't write. And so we have

1172
01:07:39,240 --> 01:07:42,200
Speaker 1: connections to things, and people can be part of those

1173
01:07:42,200 --> 01:07:44,840
Speaker 1: connections like you can. You don't have to be a

1174
01:07:44,880 --> 01:07:49,920
Speaker 1: colonizing force. You have agency, you have decisions. But you

1175
01:07:49,920 --> 01:07:52,680
Speaker 1: also have to push back on these ideas that if

1176
01:07:52,720 --> 01:07:54,880
Speaker 1: we do it, something bad is gonna Like I used

1177
01:07:54,920 --> 01:07:58,120
Speaker 1: to argue with these politicians. And so we had this

1178
01:07:58,480 --> 01:08:03,439
Speaker 1: wonderful wonder a full person named Elizabeth Parachut thinking names.

1179
01:08:05,760 --> 01:08:08,920
Speaker 1: She was a pivotal member of an amazing team of

1180
01:08:08,960 --> 01:08:13,760
Speaker 1: folks who got an anti discrimination bill passed into seven.

1181
01:08:14,720 --> 01:08:17,120
Speaker 1: And so these have signs up that said like no

1182
01:08:17,280 --> 01:08:20,040
Speaker 1: Indians allowed and no Indians and dogs allowed, Like you

1183
01:08:20,080 --> 01:08:23,000
Speaker 1: could just put that up and your businesses or whatever.

1184
01:08:24,040 --> 01:08:26,479
Speaker 1: And so the the reason they passed this laws that

1185
01:08:26,560 --> 01:08:29,720
Speaker 1: you couldn't put those signs up. And this one like

1186
01:08:29,800 --> 01:08:34,679
Speaker 1: Senator who has a street named after him, He said, right,

1187
01:08:34,800 --> 01:08:38,240
Speaker 1: he said, who are you to think you can come

1188
01:08:38,320 --> 01:08:41,640
Speaker 1: mingle with us with five thousand years of recorded civilization.

1189
01:08:42,160 --> 01:08:44,719
Speaker 1: And then they also said things like if you put

1190
01:08:44,800 --> 01:08:48,920
Speaker 1: people together, you're just going to have more racial division

1191
01:08:49,120 --> 01:08:53,200
Speaker 1: and more more fighting basically, and then like flash forward

1192
01:08:53,240 --> 01:08:56,000
Speaker 1: like seven years later, we're trying to get native language

1193
01:08:56,080 --> 01:08:58,760
Speaker 1: is made as the co official languages of Alaska, which

1194
01:08:58,800 --> 01:09:01,599
Speaker 1: we did. One of the big arguments of this guy said,

1195
01:09:01,640 --> 01:09:04,120
Speaker 1: he said, if you try and make the language is equal,

1196
01:09:04,760 --> 01:09:07,559
Speaker 1: you're just gonna have more racial division and fighting. And

1197
01:09:07,600 --> 01:09:09,920
Speaker 1: I said, seventy years, you can't even think of a

1198
01:09:09,920 --> 01:09:17,080
Speaker 1: new argument that, so yeah, shows just yeah, how how

1199
01:09:18,000 --> 01:09:21,760
Speaker 1: abstract or problem racism tries to solve by just being like,

1200
01:09:21,760 --> 01:09:24,080
Speaker 1: I don't know, man, because if there's more equality, it's

1201
01:09:24,080 --> 01:09:26,400
Speaker 1: going to be bad. Look, I'm this is already a

1202
01:09:26,400 --> 01:09:28,599
Speaker 1: bad faith argument. I'm trying to max. You don't expect

1203
01:09:28,640 --> 01:09:31,439
Speaker 1: me to have something better than that ship like where

1204
01:09:31,439 --> 01:09:33,120
Speaker 1: it's like, I don't know, if people know each other

1205
01:09:33,160 --> 01:09:38,280
Speaker 1: and get along, they're gonna like fight more makes sense.

1206
01:09:39,120 --> 01:09:41,960
Speaker 1: It's one step away from I'm the one who's going

1207
01:09:42,000 --> 01:09:47,160
Speaker 1: to be oppressed. No, no, no, no, check the books,

1208
01:09:47,240 --> 01:09:49,840
Speaker 1: check the receipts. You're doing all right? But I think

1209
01:09:49,880 --> 01:09:53,400
Speaker 1: this again. I really want to urge listeners to check

1210
01:09:53,439 --> 01:09:57,839
Speaker 1: the show out because it, like I said, I couldn't

1211
01:09:57,840 --> 01:10:01,679
Speaker 1: believe how touched I was by being completely ignorant about

1212
01:10:01,720 --> 01:10:07,720
Speaker 1: the topic, but also realizing how any person who's had

1213
01:10:07,760 --> 01:10:11,599
Speaker 1: to move, who who's who's gone from one culture to another,

1214
01:10:11,680 --> 01:10:15,400
Speaker 1: has immigrated whatever that these that it's so easy to

1215
01:10:15,439 --> 01:10:19,400
Speaker 1: connect to, and also realizing yet to your point of like, man,

1216
01:10:19,479 --> 01:10:23,720
Speaker 1: how it is an active process to be like Okay,

1217
01:10:23,760 --> 01:10:27,880
Speaker 1: how can I sort of reverse this cycle of colonization

1218
01:10:28,200 --> 01:10:31,040
Speaker 1: And it doesn't have to be this like monumental act.

1219
01:10:31,040 --> 01:10:34,040
Speaker 1: It can be actually very like very subtle things that

1220
01:10:34,120 --> 01:10:37,639
Speaker 1: you're sort of pinning together and you're you're, you're, you're

1221
01:10:37,680 --> 01:10:41,160
Speaker 1: doing something much better. Um, So it's it was a yeah, man,

1222
01:10:41,160 --> 01:10:44,640
Speaker 1: I gotta say congrats on the show because it's it's true. Absolutely,

1223
01:10:44,680 --> 01:10:47,760
Speaker 1: and thank you so much for joining us. Yeah, where

1224
01:10:47,800 --> 01:10:52,840
Speaker 1: can people find you? Follow you here? More about you? Yeah?

1225
01:10:52,840 --> 01:10:56,479
Speaker 1: Well can she's Uh, folks would really check out Beauty

1226
01:10:56,520 --> 01:11:02,439
Speaker 1: Translated Black Fat FM and Partition as this next up

1227
01:11:02,520 --> 01:11:06,360
Speaker 1: initiative has been just so amazing to just see. Then.

1228
01:11:06,400 --> 01:11:09,400
Speaker 1: I think there should be four more podcasts I think

1229
01:11:09,400 --> 01:11:12,360
Speaker 1: at least coming out and so like just really like

1230
01:11:12,960 --> 01:11:14,960
Speaker 1: as we sort of look at voices that have been

1231
01:11:15,439 --> 01:11:18,880
Speaker 1: marginalized to start pushing us, nudging us towards the center,

1232
01:11:19,640 --> 01:11:23,439
Speaker 1: has just been a wonderful experience. I'm on Facebook to

1233
01:11:23,640 --> 01:11:27,639
Speaker 1: stay connected with people, I'm on Twitter trying to make

1234
01:11:27,720 --> 01:11:31,120
Speaker 1: jokes and fight with racist people would just come out

1235
01:11:31,120 --> 01:11:33,680
Speaker 1: of nowhere and try to like I don't know what

1236
01:11:33,720 --> 01:11:36,120
Speaker 1: they're trying to do, but but you can find me

1237
01:11:36,200 --> 01:11:39,920
Speaker 1: underd Aniko Danuke or Kune, which I think will probably

1238
01:11:39,920 --> 01:11:42,360
Speaker 1: have to link off unless you think that spelling is

1239
01:11:42,400 --> 01:11:46,679
Speaker 1: aces than good for you. This is just a pet.

1240
01:11:47,240 --> 01:11:49,479
Speaker 1: I guess we had an elder who said a pet

1241
01:11:49,479 --> 01:11:53,360
Speaker 1: on the back never heard anybody, so good job spelling

1242
01:11:53,439 --> 01:11:57,080
Speaker 1: thing it. And then the tongue unbroken, like there's there's

1243
01:11:57,080 --> 01:12:01,400
Speaker 1: a website, there's social media with on Facebook and Twitter

1244
01:12:01,560 --> 01:12:04,559
Speaker 1: and Instagram. Also I'm on Instagram too, like I do

1245
01:12:04,640 --> 01:12:07,320
Speaker 1: all those things. Ray taking Live is on TikTok. I

1246
01:12:07,360 --> 01:12:10,240
Speaker 1: think I'm gonna someday make some TikTok videos, But then

1247
01:12:10,280 --> 01:12:13,400
Speaker 1: I feel like you're gonna be like I'm always disconnected,

1248
01:12:13,479 --> 01:12:16,400
Speaker 1: Like I'll sing an iron Maid song or Prince learris

1249
01:12:16,400 --> 01:12:19,800
Speaker 1: and I'm teaching. These eighteen year olds were like, what

1250
01:12:20,240 --> 01:12:24,439
Speaker 1: you know? So whatever, or they'll think you you wrote

1251
01:12:24,479 --> 01:12:31,439
Speaker 1: those songs. So is there a tweet or some of

1252
01:12:31,479 --> 01:12:34,840
Speaker 1: the work of social media you've been enjoying? Yeah, I

1253
01:12:34,840 --> 01:12:38,400
Speaker 1: got too. And so the first one is check out

1254
01:12:38,439 --> 01:12:43,479
Speaker 1: everything from Mary Peltola. So she is she won the

1255
01:12:43,520 --> 01:12:47,559
Speaker 1: primary in Alaska for a congressional seat, and she's also

1256
01:12:47,720 --> 01:12:51,639
Speaker 1: leading the election to replace this kind of Don Young,

1257
01:12:51,880 --> 01:12:57,519
Speaker 1: who was super interesting person. He had a meeting with

1258
01:12:57,600 --> 01:12:59,920
Speaker 1: like these twitched people and he's talking about their land

1259
01:13:00,439 --> 01:13:03,080
Speaker 1: and they don't want anmar and they're they're protesting stuff,

1260
01:13:03,840 --> 01:13:07,320
Speaker 1: and he says, you're not the people. I'm the people.

1261
01:13:07,880 --> 01:13:11,679
Speaker 1: It's like, alright, white man, I've heard this narrative plenty

1262
01:13:11,720 --> 01:13:14,280
Speaker 1: of times, spoken like a true guy who pulls knife

1263
01:13:14,400 --> 01:13:18,200
Speaker 1: out to argue with other politicians in true don young fashion, right,

1264
01:13:18,280 --> 01:13:21,200
Speaker 1: and like bruises their arms and stuff. Anyway, so uh

1265
01:13:21,840 --> 01:13:26,800
Speaker 1: so he yeah, he's gone. But the national headlines was

1266
01:13:26,840 --> 01:13:30,160
Speaker 1: like Sarah Palin is in second place, and I'm like,

1267
01:13:30,400 --> 01:13:32,800
Speaker 1: of course the stories about a white woman coming in

1268
01:13:32,920 --> 01:13:36,599
Speaker 1: second right. And somebody tried to come at me and say, well,

1269
01:13:36,760 --> 01:13:39,320
Speaker 1: you just think all natives are liberals and you didn't

1270
01:13:39,320 --> 01:13:43,559
Speaker 1: even mention that Sarah Palin's campaign manager is native. I said,

1271
01:13:43,680 --> 01:13:46,719
Speaker 1: are you trying to generalize me and indigenize Sarah Palin

1272
01:13:46,760 --> 01:13:51,760
Speaker 1: at the same time, because ridiculous Mary Peltola. She could

1273
01:13:51,800 --> 01:13:54,840
Speaker 1: be the first Alaska Native woman in Congress, and I

1274
01:13:55,280 --> 01:13:58,840
Speaker 1: hope it happens. I think it should happen. Another tweet

1275
01:13:58,920 --> 01:14:01,679
Speaker 1: they think was great, it's from Autumn a Black Deer

1276
01:14:02,560 --> 01:14:04,320
Speaker 1: and she said, I know I've said this before, but

1277
01:14:04,360 --> 01:14:09,559
Speaker 1: I'll say it again. Decolonization is not a synonym for diversity, equity,

1278
01:14:09,720 --> 01:14:14,639
Speaker 1: or inclusion. There is no decolonial checklist or afternoon training

1279
01:14:14,800 --> 01:14:19,280
Speaker 1: that will magically decolonize your syllabus, classroom, or organization as

1280
01:14:19,280 --> 01:14:23,759
Speaker 1: a whole. There you go, Super producer Tricia, always wonderful

1281
01:14:23,840 --> 01:14:27,760
Speaker 1: having you on the show. Where can people find you?

1282
01:14:27,920 --> 01:14:31,360
Speaker 1: Follow you? Here? You all that good stuff? Thank you? Yes,

1283
01:14:31,439 --> 01:14:34,000
Speaker 1: it's great to be here. Um. I do not have

1284
01:14:34,120 --> 01:14:36,559
Speaker 1: social media, but if you want to listen to more

1285
01:14:36,680 --> 01:14:40,240
Speaker 1: of my work, UM, check out People Place Power. It's

1286
01:14:40,240 --> 01:14:44,000
Speaker 1: wherever you got your podcasts, and it is about activism

1287
01:14:44,080 --> 01:14:46,840
Speaker 1: by women, people of color, people in the global South,

1288
01:14:47,240 --> 01:14:50,760
Speaker 1: et cetera, and how they're creating change in their communities.

1289
01:14:51,560 --> 01:14:54,120
Speaker 1: There you go, And is there a tweet you've been enjoying?

1290
01:14:54,240 --> 01:14:58,000
Speaker 1: I guess not right, You don't foa she got she's

1291
01:14:58,000 --> 01:15:01,840
Speaker 1: got a head on her shoulders. What do you do? Then?

1292
01:15:03,439 --> 01:15:09,639
Speaker 1: Look at the window, at your window you've been enjoying? Yeah,

1293
01:15:09,880 --> 01:15:13,639
Speaker 1: So I am actually in um in Colorado right now

1294
01:15:13,920 --> 01:15:17,400
Speaker 1: or on ute Land actually is what it is, and

1295
01:15:18,040 --> 01:15:22,599
Speaker 1: there's some beautiful, beautiful mountains outside, So I am enjoying

1296
01:15:22,600 --> 01:15:28,080
Speaker 1: those amazing and working under what's their handle? The mountains,

1297
01:15:31,120 --> 01:15:36,160
Speaker 1: the real Mountains. Yeah, follow them. It's the guy that

1298
01:15:36,200 --> 01:15:41,280
Speaker 1: played the mountain on Game of Thrones at real Miles,

1299
01:15:41,280 --> 01:15:43,360
Speaker 1: Where can people find you with tweet you've been enjoying?

1300
01:15:43,479 --> 01:15:45,679
Speaker 1: Man if I'm me on Twitter and Instagram at Miles

1301
01:15:45,760 --> 01:15:48,680
Speaker 1: of Gray, check Jack and I out on Miles and

1302
01:15:48,760 --> 01:15:50,599
Speaker 1: Jack got mad boost ease if you like to talk

1303
01:15:50,640 --> 01:15:54,719
Speaker 1: basketball and check me out on Talking ninety Day Fiance

1304
01:15:54,920 --> 01:15:57,800
Speaker 1: on four twenty Day Fiance. That's my other podcast with

1305
01:15:57,880 --> 01:16:02,599
Speaker 1: Sophia Alexandra. Some tweets I like the first one at

1306
01:16:02,840 --> 01:16:06,880
Speaker 1: Jessica ob One tweeted a second set of pronouns has

1307
01:16:06,960 --> 01:16:13,559
Speaker 1: just hit the Woke Trade Center. Oh caps uh. Then

1308
01:16:13,600 --> 01:16:16,639
Speaker 1: another one from Choo Chow Google At Choo Choo Google

1309
01:16:16,720 --> 01:16:21,240
Speaker 1: tweeted parenthetical pointing to menu and the todds are they

1310
01:16:21,320 --> 01:16:27,599
Speaker 1: tatored in house? And at Ellie Creeman Doll tweeted the

1311
01:16:27,600 --> 01:16:30,799
Speaker 1: Biden administration is like and it's a picture of Lucille

1312
01:16:30,840 --> 01:16:34,080
Speaker 1: Bluth from Arrested Development and it just says it's one

1313
01:16:34,160 --> 01:16:38,040
Speaker 1: student loan Michael, what could it cost ten thousand dollars?

1314
01:16:41,280 --> 01:16:46,840
Speaker 1: That's right? Yeah, Anthony Michael Crease tweeted preemptively posting this

1315
01:16:47,000 --> 01:16:51,240
Speaker 1: and it's that meme of the trolley experiment with like

1316
01:16:51,560 --> 01:16:55,040
Speaker 1: a bunch of people having just been run over by

1317
01:16:55,080 --> 01:16:57,720
Speaker 1: the trolley and the person at the switch being like,

1318
01:16:57,920 --> 01:17:00,280
Speaker 1: would it be fair to the people the trolley has

1319
01:17:00,320 --> 01:17:10,360
Speaker 1: already killed to divert it now ship Yeah and then

1320
01:17:10,520 --> 01:17:14,080
Speaker 1: uh and zoo at and zoo is Online tweeted food

1321
01:17:14,120 --> 01:17:16,600
Speaker 1: for thought. If the US cut just two percent of

1322
01:17:16,640 --> 01:17:19,840
Speaker 1: its annual defense budget, it could afford to construct a

1323
01:17:19,880 --> 01:17:23,519
Speaker 1: colossal obsidian sphere in the San Francisco Bay. On top

1324
01:17:23,560 --> 01:17:26,719
Speaker 1: of the obvious economic benefits, it would be visible throughout

1325
01:17:26,760 --> 01:17:30,920
Speaker 1: all of northern California and emanate an ominous home exclamation

1326
01:17:31,000 --> 01:17:34,759
Speaker 1: point and then their photoshops just a giant obsidian sphere

1327
01:17:34,800 --> 01:17:38,840
Speaker 1: in the in the Bay. I really truly that. You

1328
01:17:38,880 --> 01:17:42,120
Speaker 1: can find me on Twitter at Jack Underscore O'Brien. You

1329
01:17:42,120 --> 01:17:45,240
Speaker 1: can find us on Twitter at Daily Zeitgeist. We're at

1330
01:17:45,280 --> 01:17:48,559
Speaker 1: the Daily Zeitgeist on Instagram. We have Facebook fan page

1331
01:17:48,600 --> 01:17:51,559
Speaker 1: and website Daily zeitgeist dot com where we post our

1332
01:17:51,600 --> 01:17:54,800
Speaker 1: episodes and our footnotes where we link off to the

1333
01:17:54,880 --> 01:17:57,320
Speaker 1: information that we talked about in today's episode, as well

1334
01:17:57,360 --> 01:18:00,240
Speaker 1: as a song that we think you might and Joy

1335
01:18:00,400 --> 01:18:02,240
Speaker 1: Myles was song do we think people might enjoy it?

1336
01:18:02,439 --> 01:18:06,559
Speaker 1: Just some Really, it's like if James Taylor was funky

1337
01:18:06,640 --> 01:18:10,200
Speaker 1: and Brazilian. This artist Sessa s E S s A

1338
01:18:10,840 --> 01:18:13,720
Speaker 1: just there's I don't know, it's like feels folky, but

1339
01:18:13,760 --> 01:18:16,240
Speaker 1: it's got rhythm because you know, Brazilian music can't be

1340
01:18:16,320 --> 01:18:19,360
Speaker 1: like rhythmless. So this track is called say Hey Yes

1341
01:18:19,439 --> 01:18:22,800
Speaker 1: Santi mental and it's by Sessa s E S s

1342
01:18:22,840 --> 01:18:24,920
Speaker 1: A uh and check it out. This is it's a

1343
01:18:24,960 --> 01:18:27,640
Speaker 1: really dope track and I'm getting into most of his

1344
01:18:27,720 --> 01:18:31,200
Speaker 1: other work and it's pretty fantastic. It's Taylor, it's funky

1345
01:18:31,240 --> 01:18:35,320
Speaker 1: and Brazilian. Yeah, I don't know how it's described because

1346
01:18:35,320 --> 01:18:37,639
Speaker 1: it's like got like if you like Jose Gonzalez, you're

1347
01:18:37,680 --> 01:18:41,040
Speaker 1: like June that group, and it's it's very like singer songwriter,

1348
01:18:41,120 --> 01:18:42,840
Speaker 1: but it's got like an edge to it. This guy's

1349
01:18:42,840 --> 01:18:45,680
Speaker 1: doing it in Portuguese. But also I like the way

1350
01:18:45,680 --> 01:18:48,439
Speaker 1: the drums are. They're kind of it's just dope. Just

1351
01:18:48,520 --> 01:18:50,920
Speaker 1: check it out. Say Hey es sentimental but it's spelled

1352
01:18:51,080 --> 01:18:54,120
Speaker 1: s E r E I A and then sentimental. I'm

1353
01:18:54,120 --> 01:18:56,679
Speaker 1: sorry that I had to lean into that Portuguese. Here

1354
01:18:56,680 --> 01:18:59,000
Speaker 1: you go. All right, we'll go check that out. The

1355
01:18:59,080 --> 01:19:01,320
Speaker 1: Daily Like Guys, a production of by Heart Radio. For

1356
01:19:01,400 --> 01:19:03,639
Speaker 1: more podcasts for my heart Radio, visit the I heart

1357
01:19:03,720 --> 01:19:06,680
Speaker 1: Radio app, Apple podcast, or wherever you listen to your

1358
01:19:06,680 --> 01:19:09,000
Speaker 1: favorite shows. That's going to do it for us this morning,

1359
01:19:09,439 --> 01:19:11,760
Speaker 1: back this afternoon to tell you what is trending? Do

1360
01:19:11,800 --> 01:19:15,320
Speaker 1: you talk to you? All done? Bye bye m