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Speaker 1: Welcome to Worst Year Ever, A production of I Heart

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Speaker 1: Radio Together everything, So don't do what allegedly biting White

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Speaker 1: House aids my Joe Biden's German shepherd poorly trained dog,

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Speaker 1: I mean more, are just an excited We don't know

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Speaker 1: the extent of the biting and the the oval papas

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Speaker 1: Twitter account has come out, there was no bite, So

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Speaker 1: this is a real mystery. UM the unofficial like dog

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Speaker 1: parody accounts of the President's dogs. Yes, it's horrible. Everything

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Speaker 1: that just got I should I will state for the

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Speaker 1: record a couple of things. Number One, regardless of what happened,

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Speaker 1: Um of Biden's dogs have done nothing wrong because they're dogs,

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Speaker 1: good boys and girls, very good. Yes, good puppies. It's

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Speaker 1: not a great place for a German shepherd. It was major,

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Speaker 1: it was. And also, you know, German shepherds are guard

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Speaker 1: dogs and they are slow to warm up to people.

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Speaker 1: If you have a friend with the German shepherd, you

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Speaker 1: know this that it takes them some time to get

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Speaker 1: acclimated to you, because that's what they're for. They're supposed

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Speaker 1: to protect people. They're little nugget had a lot of

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Speaker 1: people around and maybe well, then don't bring it to

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Speaker 1: the White I mean, don't bring a little nugget. It's

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Speaker 1: just like it's like we we did a lot of

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Speaker 1: We had a lot of everyone had a lot of

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Speaker 1: fun about like how Donald Trump doesn't have dogs and

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Speaker 1: what does that say about them and stuff, But like,

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Speaker 1: just don't bring your dog to the White House or

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Speaker 1: performative like I think maybe this dog is I think

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Speaker 1: there's types of dogs like boxers I'm sure would do

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Speaker 1: well at the White House because they just want to

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Speaker 1: be surrounded by people all the time. Um, a German

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Speaker 1: Shepherd is not the kind of dog I would bring in.

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Speaker 1: I don't think you need I don't think we need

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Speaker 1: to pick a breed about it. But I mean, like

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Speaker 1: you're gonna say Corgy, aren't you. No, I'm not going

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Speaker 1: to say Corgy. I was gonna say. I was gonna

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Speaker 1: say sometimes if strange people come into my space and

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Speaker 1: I don't like them, people too, I say, I taught

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Speaker 1: my dog to bite bite me, and it nibbles on

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Speaker 1: my finger. So I guess what I'm saying is Anderson

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Speaker 1: would suck a bitch up. So like, just like everybody,

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Speaker 1: take you live with your dog, but don't put them

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Speaker 1: in situations where it we'll be bad there. This intro

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Speaker 1: but lies the seriousness of our interview. We have coming

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Speaker 1: up this episode to be mostly about anti Asian American

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Speaker 1: violence in the United States. We have a great interview

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Speaker 1: UM on that subject. First, before we go into that,

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Speaker 1: I want to make a quick note about some folks

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Speaker 1: who could really use help. The Tenacious Unicorn Ranch is

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Speaker 1: a ranch, an alpaca ranch in southern Colorado that is

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Speaker 1: also something of a sanctuary for trans people UM and

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Speaker 1: their existence UH was I discovered maybe the wrong word,

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Speaker 1: but a bunch of local bigots and militia people realize

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Speaker 1: that they exist and have been threatening them, breaking into

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Speaker 1: their property at night armed UM, sending them death threats,

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Speaker 1: making it unsafe for them to go out in the

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Speaker 1: community nearby. Their attempting to mobilize resources UM. They have

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Speaker 1: some volunteers who are coming over to help already and

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Speaker 1: sending some things UM. But they have a go fund

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Speaker 1: me that has currently raised about forty one of its

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Speaker 1: hundred thousand dollar goal UH to both better secure the

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Speaker 1: property and to provide them with resources since it's not

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Speaker 1: super safe for them to work in the immediate surrounding

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Speaker 1: area right now. Um, hopefully, hopefully we'll be able to

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Speaker 1: get past us. But I want to do plug their

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Speaker 1: go fund me if you just type into Google go

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Speaker 1: fund me help our Transhaven Alpaca Ranch grow Phase two. Again,

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Speaker 1: that's go fund me, help our Transhaven Alpaca Ranch Grow

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Speaker 1: Phase two. If you have some bucks to spare to

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Speaker 1: throw towards it. Uh. What they're doing is really great

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Speaker 1: and they could use your help. We'll be talking to

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Speaker 1: them soon, I hope. But yeah, I just wanted to

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Speaker 1: kind of direct some resources there if people, if you have,

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Speaker 1: you know, um, anything to spare. Yeah, thank you, Robert. Uh.

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Speaker 1: And we can share that on our social media too. Yes,

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Speaker 1: all right, let's hear about violent race is all right? Um,

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Speaker 1: so we are this is the worst year ever. Would

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Speaker 1: you already know because we will have already introduced the

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Speaker 1: show at this point. I'm a train wreck at the moment,

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Speaker 1: and to a great start. You're high speed? Yeah, thank you.

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Speaker 1: Everybody's great. Thank you. Nobody's nobody's good. Nobody's good. I

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Speaker 1: know you know who is great. Everybody's great. Great, Thank you. Well.

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Speaker 1: Speaking of great, our guest today is great. Um. We're

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Speaker 1: going to talk with him about the terrifying surge in

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Speaker 1: uh anti Asian hate crimes in the United States. Um,

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Speaker 1: his name is Christopher Wong, but if you're on Twitter,

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Speaker 1: you probably better know him as the Ice must be

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Speaker 1: destroyed guy. Um, which is your legal name, right, that's

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Speaker 1: on your driver's license and social Security card? Right, Yeah,

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Speaker 1: it's It's it's slightly awkward at family gatherings because every

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Speaker 1: time you know normal name, normal name, Ice must be destroyed, dude. Yeah,

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Speaker 1: I mean you are from the Northampton Ice must be destroyed, right,

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Speaker 1: Like yeah, yeah, Christopher. Um, that was a fun intro,

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Speaker 1: but this is not a fun topic and it's something

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Speaker 1: that like yeah, sorry, Cody, Um, it's it's it's more

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Speaker 1: hate crimes. And I don't know, maybe terror is might terrorism,

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Speaker 1: I don't know. I don't know where the line is here. Um,

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Speaker 1: this is a subject that I think we're all kind

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Speaker 1: of aware of the edges on, which is why I

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Speaker 1: brought Christopher on because he's he's been doing a deeper

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Speaker 1: dive on this. But um, yeah, I think if you've

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Speaker 1: been paying any attention to kind of the news lately,

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Speaker 1: you've caught bits and pieces of and it seems like

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Speaker 1: a lot of it's kind of driven by COVID nineteen,

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Speaker 1: but there have been has been a really unsettling rise

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Speaker 1: in hate crimes against um, particularly elderly Asian Americans. UM so, yeah, Christopher,

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Speaker 1: do you want to just kind of, uh talk about

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Speaker 1: what you found in your research into this, because it's

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Speaker 1: it's not something I've seen a really solid, comprehensive article

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Speaker 1: on yet. Uh So, yeah, I'm really I'm interested to

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Speaker 1: learn kind of the dimensions of this problem as it

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Speaker 1: exists right now. Yeah, so, what's let's start. Let's start

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Speaker 1: because a lot of a lot of us happening now

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Speaker 1: is is direct product of a lot of stuff that

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Speaker 1: happened at the very beginning of the year when COVID

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Speaker 1: had sort of just started. And what you saw basically was,

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Speaker 1: instead of you know, doing the thing any the government

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Speaker 1: was supposed to do, which is, hey, we should prepare

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Speaker 1: for this plague, everyone saw the pandemic and went, ah ha,

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Speaker 1: this is our moment. We've got it. We've finally got

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Speaker 1: the CCP over a fire, right And and you know what,

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Speaker 1: what what starts happening there is you get almost immediately

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Speaker 1: people calling it the China flu. You get the Wuhan flu.

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Speaker 1: Like the more racist variations like the kung flu um

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Speaker 1: very quickly, a bunch of stories starts circulating about how

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Speaker 1: this is because of wet markets and this is all

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Speaker 1: this sort of fearmongering about Chinese people eating bats. Since

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Speaker 1: you know, it's really terrifying, and you know this, this

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Speaker 1: spreads very very quickly to a lot of people who

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Speaker 1: are incredibly powerful and you have anyone's platforms. Donald Trump

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Speaker 1: does this a lot. Yeah. Actually it takes a surprisingly

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Speaker 1: long time for him to say kung flu, like it

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Speaker 1: takes like eight months, but you know he's talking about

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Speaker 1: China flu and the Wuhong flu and the Chinese flu

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Speaker 1: almost immediately. Uh there. There's there's a social media study

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Speaker 1: done of people who are pushing it. Tom Cotton by

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Speaker 1: far the worst. Also Bill Haggardy sort of surprisingly making

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Speaker 1: it in there at basically number three after Cotton and Trump. Yeah,

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Speaker 1: but you know this, this this press like wildfire across

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Speaker 1: the sort of right wing media. Tucker Carlson's obsessed with it,

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Speaker 1: people on the people on Fox and News and doing

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Speaker 1: the bad stuff and you know, but but you know

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Speaker 1: the disturbing part of this is that a lot of

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Speaker 1: sort of liberals get in on it. And the liberals

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Speaker 1: there's something doing the concern trolling about Oh, it's okay

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Speaker 1: to call it the China flu because it's just geographically

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Speaker 1: where it's from. But because calling the the last influence

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Speaker 1: of pandemic the Spanish flu had no consequences whatsoever. This

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Speaker 1: will be Americans are totally not racist. This will be

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Speaker 1: completely fine. And also that started in Kansas, by the way. Yeah,

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Speaker 1: it's great, you know, and there's there's a the sort

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Speaker 1: of China washer community like Spalding gets in on it

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Speaker 1: really quickly. Um, and there's a particularly I guess you

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Speaker 1: could call it a because Western conception of nationalism that's

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Speaker 1: spread across the entire world, where it works by sort

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Speaker 1: of conflating just the people who live under a state,

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Speaker 1: the state itself, and then those people's race. And so

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Speaker 1: all the attacks and you know, a lot of liberals

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Speaker 1: thought they were just attacking the CCP, but but you know,

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Speaker 1: what turns out to happen is that everyone reads this

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Speaker 1: basically as an attack on all Chinese people. And you know,

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Speaker 1: and then because racists are not very smart and essentially

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Speaker 1: don't care, this very quickly turns into a whole bunch

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Speaker 1: of attacks against just any Asian person, anyone can get

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Speaker 1: their hands on. So this is then I need I

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Speaker 1: need to make this clear. This is a very very

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Speaker 1: partial list. There have been. We we have no idea

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Speaker 1: how many attacks has actually been. UM. The Stop a

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Speaker 1: p I Hate, which has been the People Then Activist group,

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Speaker 1: has been tracking these since they started in March twenty twenty,

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Speaker 1: so they missed a lot of the early attacks too.

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Speaker 1: They've recorded like two thousand, eight hundred incidences of so

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Speaker 1: either racist rhetoric or attacks, a hundred physical attacks. UM.

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Speaker 1: One of the first ones there's so there's a bunch

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Speaker 1: of this. It's like several stabbings in February. There's one

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Speaker 1: of the first ones that caught the news was actually

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Speaker 1: an April h A woman was just going back to

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Speaker 1: her apartment and these two men poured acid on her face.

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Speaker 1: Where was that one? This This was in Brooklyn. Yeah,

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Speaker 1: there's there's another. Uh, I guess we can jump to

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Speaker 1: the second. Brooklyn one. New York has been an epicenter

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Speaker 1: of this violence. On July fourteen, and this is another

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Speaker 1: one of the points where you start getting attention to

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Speaker 1: what even though it's been happening for like six months.

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Speaker 1: By this point uh an Asian American women is little

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Speaker 1: on fire in Brooklyn. There's in Midland, Texas on March fourteen,

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Speaker 1: a guy just stabs a family. There's these two children.

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Speaker 1: One of them's age two, one of the age six.

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Speaker 1: This guy just stabs them and he's yelling about how

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Speaker 1: quote he he thought the family was Chinese and infecting

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Speaker 1: people with the virus. There's in California. Some of these

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Speaker 1: are just aren't drawn from the news reports because nobody

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Speaker 1: even covered it, but I mean there is there is

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Speaker 1: someone who had a report of a white family tried

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Speaker 1: to like run them over, like they were on the

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Speaker 1: sidewalk and they drove their car up on the curve

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Speaker 1: to run them over when they saw their Chinese. This

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Speaker 1: this continues m through. It kind of sort of seemed

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Speaker 1: to be slowing down towards the end of the year,

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Speaker 1: and then one started and everything just kicked up again.

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Speaker 1: H you know, on the February fourth, there's a this

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Speaker 1: and this This is gonna be another one of the trends.

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Speaker 1: Like one of the most common things is you have

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Speaker 1: elderly Asian people just sort of walking the rounds going

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Speaker 1: for their homes, you know, trying trying to go about

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Speaker 1: their lives and people will just run up and shove

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Speaker 1: them to the ground, push them over. Um. And on

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Speaker 1: January seven, a man named Vita running a Patty who's

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Speaker 1: eighty four years old, tie, he's he's a grandfather, and

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Speaker 1: he gets pushed to the ground and killed. Jesus. And

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Speaker 1: where was that? This is in San Francisco. There's there's

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Speaker 1: a very similar incident in Oakland and Chinatown from a

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Speaker 1: nine year old dude who thankfully survived that the same

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Speaker 1: person attacks like three other people. Um. Actually, and there's

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Speaker 1: I think that the earliest this year was the day

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Speaker 1: before the Capitol riots in Oakland, an Asian woman got

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Speaker 1: shot in the face with a flare gun. Jesus, Yeah,

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Speaker 1: you know, I mean there's yeah, it's horrific. You know,

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Speaker 1: the sort of means just the range of violence, like, yeah,

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Speaker 1: the different methods and stuff. Like. One of the things

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Speaker 1: this is saying to me is that it definitely seems

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Speaker 1: like a situation where COVID is the excuse, not the cause,

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Speaker 1: because it would be one thing if these were all

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Speaker 1: just like people yelling at like like yelling out like

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Speaker 1: racist shit about COVID and then like throwing a punch,

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Speaker 1: but like acid flares, Like that's that's somebody who's thought

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Speaker 1: a lot about doing the specific kind of racist violence

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Speaker 1: and wanted to in the cruelest way possible. Yeah, I've

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Speaker 1: been thinking a lot about that, Like how we're seeing

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Speaker 1: this now, but these seeds have been around for so

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Speaker 1: very long, and and it's such a huge topic to unpack.

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Speaker 1: But it's an important obviously it's an important one right now.

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Speaker 1: But we're having these conversations, a real conversation about racial

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Speaker 1: reckoning and and you know, Black lives Matter and um,

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Speaker 1: throughout the summer, through all of them. This it's it's

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Speaker 1: felt very hard because it feels like that before having

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Speaker 1: a conversation about Black lives matter, which is of course

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Speaker 1: its own thing, its own end to t but we

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Speaker 1: need to be having these other conversations as well, because

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Speaker 1: racism against one group effects all, you know, it's all

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Speaker 1: very interlocked. Sorry, that's a bit of a tangent, you know.

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Speaker 1: I mean, but and and like like racism in the

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Speaker 1: United States against uh black people, there are systemic aspects

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Speaker 1: to it. I mean, this goes back. We've talked about

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Speaker 1: this on Behind the Bastards a couple of times, but

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Speaker 1: there have been there have been like eliminationist tendencies against

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Speaker 1: Asian immigrants in the United States going back to the

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Speaker 1: late seventeen orly eighteen hundreds. You know, this is this

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Speaker 1: is as old as the country is. And there's the

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Speaker 1: the myth I'm not sure if I'm saying this right,

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Speaker 1: the phrase, but the myth of the model migrant, you know,

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Speaker 1: and how a lot of time model model minority. Thank you,

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Speaker 1: and I'm sure you could speak more to this, but

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Speaker 1: that's setting up of a pitting different races against each other,

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Speaker 1: you know, as to who can be the most American.

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Speaker 1: Um anyway, it's it's a lot to unpact. Yeah, I think, well,

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Speaker 1: one one thing I need to get out of the way.

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Speaker 1: I please, I am begging you all, for the love

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Speaker 1: of God. Do not do not, under any circumstances. Do

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Speaker 1: not use the hashtag Asian Lives Matter. Just do not.

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Speaker 1: Don't say that that's a thing that started people people

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Speaker 1: have been doing this. Do not do this. It is

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Speaker 1: is disrespectful, it's frankly racist against black people. And you know,

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Speaker 1: the other thing, there's a there's a lot of stuff

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Speaker 1: about how you know that this this sort of it

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Speaker 1: sort of it turns activism into this sort of like trends.

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Speaker 1: It's like, oh, one month is this lives and next

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Speaker 1: month it's like no, no no, no, this is this is

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Speaker 1: not how those anis works. And the ever thing that's

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Speaker 1: very important about this is that it specifically screws over

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Speaker 1: Black Asians who are having a terrible time and you know,

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Speaker 1: especially globally, like you know, one of the things that's

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Speaker 1: been happening in the last I mean this, this is

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Speaker 1: a struggle has been going on for half a century,

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Speaker 1: but you know it particularly in the last two three years,

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Speaker 1: is the struggle and West popular against you know, like

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Speaker 1: what West Popula was a colonial possession of into Nsia.

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Speaker 1: The Internesian police have just murdering people in the streets.

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Speaker 1: Indonesian army has been deployed there because people have been,

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Speaker 1: you know, trying to trying to break free of this

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Speaker 1: colonial army. And you know, when when when you're doing

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Speaker 1: when you're doing this sort of like Asian lives matter stuff,

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Speaker 1: you're screwing over them, You're screwing over you know, it's

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Speaker 1: just just don't just don't. Please God, I'm thinking you

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Speaker 1: all stop, don't do this. I mean, that's that's deeply frustrating, UM,

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Speaker 1: but also like I guess not surprising. I hadn't heard

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Speaker 1: of that going around UM, and you know, that's that's

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Speaker 1: that's a problem that like I guess, we run into

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Speaker 1: every time we're reminded in the United States of the

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Speaker 1: different kind of UM, the different sorts of bigotry and

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Speaker 1: violence faced by different uh, different ethnic groups. Is this

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Speaker 1: like there will always be people who try to, UM,

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Speaker 1: I don't know, lump everybody in the same basket just

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Speaker 1: because they're all facing some sort of bigotry and violence. Which, yeah,

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Speaker 1: it's kind of like I've been hearing a lot of

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Speaker 1: complaints about the term bipoc um from black activists that

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Speaker 1: I follow, and about how I like, we we don't

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Speaker 1: want to be like I I'm not biopoc I'm black,

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Speaker 1: don't I don't want to be lumped in because I'm

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Speaker 1: I'm trying to speak to specific problems that my community

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Speaker 1: is facing, and I feel like this is kind of

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Speaker 1: a liberal way of just throwing us all together in

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Speaker 1: in one lump as if you know. UM. Anyway, I've

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Speaker 1: been thinking a lot about that. Obviously, I'm I'm the

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Speaker 1: whitest guy ever, so I don't um. I I don't

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Speaker 1: want to be like throwing my own opinion out there

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Speaker 1: because it doesn't matter on this. But I'm trying. I'm

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Speaker 1: trying to listen and understand that and it what you're

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Speaker 1: saying makes a great deal of sense. Yeah. Well, and

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Speaker 1: you know that that sort of ties back to the

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Speaker 1: origin of Asian American is a term which you know,

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Speaker 1: almost no one like in the Asian community even sort

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Speaker 1: of remembers this because so so the term itself was

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Speaker 1: created by a bunch of activists who are it was

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Speaker 1: largely student activists in the sixties who were sort of

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Speaker 1: the reacting to the war in Vietnam and they reacting

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Speaker 1: to the national liberation struggles, and they wanted to sort

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Speaker 1: of they wanted to have this term that could pull

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Speaker 1: all of the different sort of different Asian groups together

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Speaker 1: to sort of you know, like we we The thought

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Speaker 1: behind it was that, you know, the whole this is

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Speaker 1: this is the moment of the Third World movement, and

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Speaker 1: this this this attempt to sort of pull all of

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Speaker 1: the sort of Asian peoples together, and you know, and

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Speaker 1: it was also directly in solid area the revolutions in

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Speaker 1: places like Algeria and the revolution is happening all over Africa,

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Speaker 1: and you know, the thought is that all these people

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Speaker 1: are going to walk into the future together with you

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Speaker 1: know this, this is this is how we're all going

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Speaker 1: to free ourselves by fighting alongside with each other. And this,

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Speaker 1: you know, this kind of collapses because I mean, one

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Speaker 1: of one of the big problems is that, Okay, so

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Speaker 1: if you're you know, you're you're a Chinese person, you're

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Speaker 1: a Vietnamese person, right, what what do you do when

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Speaker 1: China and Vietnam go to war in next seventy nine?

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Speaker 1: Like that, that whole thing sort of implodes and no

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Speaker 1: one you know, and I guess the point, no one

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Speaker 1: even remembers the origins of it, right, And and now

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Speaker 1: it's sort of weird because that that politics that was

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Speaker 1: pulling all of these groups together is gone, like it

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Speaker 1: it's basically imploded. That there are people who will tell

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Speaker 1: you it's still around, it's it's not, it's it's dead.

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Speaker 1: And so the only things that Asian Americans and especially

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Speaker 1: when you when you sort of lump Pacific Islander in there,

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Speaker 1: the only thing we have in common is that white

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Speaker 1: people want to kill us. Like that's it, that that's

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Speaker 1: the whole that's you know, that that's the whole source

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Speaker 1: of like the term Asian Americans. We're from vaguely over

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Speaker 1: there and they want us dead. Yeah, And I think

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Speaker 1: that's really grim in a lot of wize and in

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Speaker 1: every way, Yes, and that we just a lumping together

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Speaker 1: the wide swath of people under one term that have

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Speaker 1: wildly different experiences in the backgrounds, and yet we just

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Speaker 1: say you're yes American community. Yeah, there's also so I

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Speaker 1: will say that there I think there is you know,

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Speaker 1: there's there's a lot of debate of whether you should

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Speaker 1: whether we should keep using it or abandoning it. But

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Speaker 1: you know, one of the things it does track though,

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Speaker 1: is that, yeah, you know, one of the big things

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Speaker 1: that Asian Americans seven common is that their countries have

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Speaker 1: been invaded by the US and so and you and

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Speaker 1: you can try a lot of it generally non American experience,

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Speaker 1: but you know, I mean you can actually track this

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Speaker 1: in the in the victims with these killings, like so

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Speaker 1: one of the people who I didn't uh, I didn't

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Speaker 1: mention the first time as Noel Quintana, who's a sixty

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Speaker 1: one year old Filipino man who has slashed across the

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Speaker 1: face with a knife. Um, you know, yeah, you know,

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Speaker 1: the Philippines is one of the like, you know, the US.

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Speaker 1: The US occupies the Philippines for half a century, fights

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Speaker 1: this unbelievably brutal war that they killed two hundred between

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Speaker 1: two hundred thousand and a million people. They have concentration

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Speaker 1: camps and you know, so while while the US is there,

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Speaker 1: they're in the Philippines and they go, hold on, wait,

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Speaker 1: we have troops here. We can use this to invade China,

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Speaker 1: and so they do during the Box Rebellion. It originally

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Speaker 1: this thing, it's like, oh, we're gonna We're gonna put

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Speaker 1: troops here to safeguard Americans, and then that turns into

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Speaker 1: the US but breaking down the gates of the inner

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Speaker 1: city in Beijing, and you know, you can keep doing

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Speaker 1: the democracy or something right Yeah yeah, yeah, so we

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Speaker 1: we we are. We reinstalled the emperor democratically elected. Yeah yeah,

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Speaker 1: you know, and that this could like there was another

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Speaker 1: I think this is the most recently. I could be

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Speaker 1: wrong about this, because again, these these attacks keep happening.

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Speaker 1: One of the most recent ones was there's a Japanese

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Speaker 1: woman who was beaten unconscious with a rock like apparently

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Speaker 1: a rocket socks like smashed the basin. This is like

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Speaker 1: attacked your boyfriend too. Yeah, and you know, okay, so

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Speaker 1: Japan we nuked them, the Japanese and Terman the future

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Speaker 1: run to popties from Thailand and Thailand we well, okay,

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Speaker 1: so we didn't actually invade Thailand. We just allied with

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Speaker 1: third like military tatorship strappedship. Yeah, you know, and we

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Speaker 1: we we tested more crimes on peasants, tomato tomato that

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Speaker 1: wasn't was Indonesia, right, Yeah, but you know, one of

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Speaker 1: the you know, one of the things that like Charles

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Speaker 1: Murray winds up working for the uh of Charles Murray

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Speaker 1: of notable wrote the Bell Curve fame working with government

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Speaker 1: and you know, and I want to put this on

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Speaker 1: the time government is so evil that them working with

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Speaker 1: the Bell curve guy like reflects badly on Murray. That

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Speaker 1: that that's in this period horrible, like yeah, you know,

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Speaker 1: and this is this is the kind of violence that

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Speaker 1: is being and you know, and part of what we're

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Speaker 1: seeing here is American sort of geopolitics reflects back on

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Speaker 1: people in the United States. And this is a big thing.

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Speaker 1: And this has been one of the big the big

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Speaker 1: sources of the violence we're seeing now is because again

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Speaker 1: the sort of nationalist inflation of the state, the race

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Speaker 1: and the people who live there, right, all all of

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Speaker 1: the China COVID stuff, and then all of the sort

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Speaker 1: of increasing tensions with China. There's there's no actual not

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Speaker 1: nothing on the American state side will ever be done

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Speaker 1: against China, right like every even it doesn't matter what

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Speaker 1: you think it's good or bad, it will just been

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Speaker 1: And this is one of the things that frust frustrates

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Speaker 1: me so much about Like the tank He's kind of

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Speaker 1: some of the some of the people on the far

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Speaker 1: left who want to pretend that like nothing's being done

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Speaker 1: to the that the Chinese government isn't doing anything terrible

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Speaker 1: with the weakers or whatever. Where it's like this is

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Speaker 1: just warmongering. People are trying to drum up interest for

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Speaker 1: to invade China's like no one's going to invade, right,

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Speaker 1: you know, like there's you know, like China's nuclear weapons.

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Speaker 1: But like even when they didn't have nuclear weapons, the

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Speaker 1: USS are they had a bunch of war plans for

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Speaker 1: for invading China, and they figured it they couldn't do

427
00:23:54,119 --> 00:23:56,160
Speaker 1: it because even with nuclear weapons, they couldn't kill enough

428
00:23:56,160 --> 00:23:58,359
Speaker 1: of the population to stop like human wave attacks like

429
00:23:58,640 --> 00:24:01,120
Speaker 1: the USS always literally it on the Chinese board. There's

430
00:24:01,160 --> 00:24:03,840
Speaker 1: no war between the US and China. And the other

431
00:24:03,880 --> 00:24:05,919
Speaker 1: reason is because the Chinese and American ruling classes are

432
00:24:05,960 --> 00:24:08,520
Speaker 1: completely intertwined, like China loans at one point, when trillion

433
00:24:08,560 --> 00:24:10,840
Speaker 1: dollars of American bonds, like, you know, they've they've they've

434
00:24:10,920 --> 00:24:13,520
Speaker 1: invested the trillion dollars and making sure that the American

435
00:24:13,560 --> 00:24:17,160
Speaker 1: economy keeps running, right because because you know, they all

436
00:24:17,200 --> 00:24:21,040
Speaker 1: American Chinese supply chains are completely integrated, um the Chinese

437
00:24:21,080 --> 00:24:23,680
Speaker 1: manufacturing sectors based on making sure that the American dollar

438
00:24:23,800 --> 00:24:27,320
Speaker 1: is worth way more than you know, than the Chinese currencies.

439
00:24:27,440 --> 00:24:30,520
Speaker 1: And you know, but you know, so what what is

440
00:24:30,560 --> 00:24:33,440
Speaker 1: the result of this? Right there? There's no not there.

441
00:24:33,520 --> 00:24:37,239
Speaker 1: There's constant sort of ramping up of rhetoric about China, right,

442
00:24:37,880 --> 00:24:39,960
Speaker 1: but nothing will ever be done because again, the American

443
00:24:40,040 --> 00:24:43,920
Speaker 1: Chinese ruling classes are intertwined. So what happens the people

444
00:24:43,960 --> 00:24:46,640
Speaker 1: who pay for that, And both both both Democrats Republicans

445
00:24:46,720 --> 00:24:48,080
Speaker 1: do this, right, they do this sort of like here's

446
00:24:48,080 --> 00:24:50,879
Speaker 1: our cheap shot at China thing, right, you know, and

447
00:24:50,920 --> 00:24:52,920
Speaker 1: it's like sometimes it's like China is doing corrible stuff

448
00:24:52,920 --> 00:24:55,760
Speaker 1: a lot of times, like like Joe Biden, for example,

449
00:24:56,040 --> 00:24:58,880
Speaker 1: a couple of weeks ago, made this unbelievably racist joke

450
00:24:58,920 --> 00:25:03,600
Speaker 1: about the name Hu Jintao, who is the former Change

451
00:25:03,640 --> 00:25:06,480
Speaker 1: president name. No one reported on it, no one. It

452
00:25:06,560 --> 00:25:08,920
Speaker 1: was basically there were two tweets from reporters the press

453
00:25:08,960 --> 00:25:11,800
Speaker 1: corps did nothing right and you know, Trump is mean

454
00:25:11,840 --> 00:25:13,600
Speaker 1: while I was doing all this sort of racist stuff,

455
00:25:13,600 --> 00:25:18,760
Speaker 1: and the people who, yeah, what did Biden saying? It

456
00:25:18,920 --> 00:25:25,840
Speaker 1: was Husian Tao? Yeah that's really his name. What. But

457
00:25:27,200 --> 00:25:33,399
Speaker 1: it's like it's it's unbelievable. No one getting so frustrated

458
00:25:34,359 --> 00:25:40,560
Speaker 1: because I just get this is just a sight tangent.

459
00:25:40,640 --> 00:25:44,480
Speaker 1: I I am very frustrated with the lack of accountability

460
00:25:44,520 --> 00:25:50,040
Speaker 1: on our side when people we have elected. That would

461
00:25:50,080 --> 00:25:52,320
Speaker 1: be things that would have been a headline and we

462
00:25:52,480 --> 00:25:56,560
Speaker 1: all would have talked about it for solid week. Yeah well,

463
00:25:56,840 --> 00:25:58,280
Speaker 1: you know, you know, like this is part of the

464
00:25:58,359 --> 00:26:00,480
Speaker 1: election that I think most people for for gotten. Abou now,

465
00:26:00,520 --> 00:26:01,600
Speaker 1: but like there was a point of there was like

466
00:26:01,720 --> 00:26:05,880
Speaker 1: two weeks where the entire election was Trump accusing Joe

467
00:26:05,920 --> 00:26:08,160
Speaker 1: Biden of being like in the pocket of China because

468
00:26:08,200 --> 00:26:12,560
Speaker 1: some business deals that Hunter Biden did, and then the

469
00:26:12,600 --> 00:26:14,800
Speaker 1: Biden campaign was like, no, Trump is tied to China.

470
00:26:14,880 --> 00:26:16,879
Speaker 1: It's like, yeah, both of you are rich, like of

471
00:26:17,000 --> 00:26:19,440
Speaker 1: course all of them are tied to China because they're

472
00:26:19,520 --> 00:26:21,879
Speaker 1: rich in the Chinese and American ruly class are all friends,

473
00:26:22,160 --> 00:26:24,399
Speaker 1: like you know, and then this is like yeah, but

474
00:26:24,440 --> 00:26:27,119
Speaker 1: but you know, the people who pay for the like

475
00:26:27,520 --> 00:26:29,359
Speaker 1: you know, you get like maybe maybe you get at

476
00:26:29,440 --> 00:26:31,640
Speaker 1: one point pulled bump, right, it's us like it's Asian

477
00:26:31,680 --> 00:26:33,480
Speaker 1: Americans are people who pay for that, and you know

478
00:26:33,560 --> 00:26:36,600
Speaker 1: it's also like Chinese international students and Chinese scientists, and

479
00:26:36,680 --> 00:26:38,359
Speaker 1: you know this has broader Asian scientists too, was like

480
00:26:39,000 --> 00:26:41,240
Speaker 1: we pay with this with our bodies, right that that's

481
00:26:41,320 --> 00:26:43,879
Speaker 1: that's the price of this. You know, this just like

482
00:26:44,080 --> 00:26:48,520
Speaker 1: nationalists sort of such a good point how it can

483
00:26:48,560 --> 00:26:52,000
Speaker 1: become a political weapons, something that people use that might

484
00:26:52,119 --> 00:26:56,240
Speaker 1: gain them some small margin when they don't mean intend

485
00:26:56,280 --> 00:26:59,240
Speaker 1: to do anything about it. But you but like, yeah, yeah,

486
00:26:59,240 --> 00:27:02,240
Speaker 1: I hadn't thought about it like that, thank you. Yeah,

487
00:27:02,280 --> 00:27:05,359
Speaker 1: And this is this is something that you know when

488
00:27:05,440 --> 00:27:08,480
Speaker 1: whenever the American system goes into crisis, it does this

489
00:27:10,119 --> 00:27:16,479
Speaker 1: one of the you know, I partially you know, if

490
00:27:16,480 --> 00:27:20,719
Speaker 1: you want to talk about sort of the Asian Americans

491
00:27:20,800 --> 00:27:23,639
Speaker 1: is a sort of like buffer class. You know a

492
00:27:23,680 --> 00:27:25,479
Speaker 1: lot of the times this is part of with minority

493
00:27:25,520 --> 00:27:27,800
Speaker 1: model minority myth is about, right, is Asian Americans is

494
00:27:27,840 --> 00:27:30,000
Speaker 1: a sort of buffer class between white people and black people.

495
00:27:30,080 --> 00:27:32,280
Speaker 1: And you know, the British are incredib when when the

496
00:27:32,280 --> 00:27:35,480
Speaker 1: British start impointing coolies are these basically like they're not

497
00:27:35,720 --> 00:27:38,720
Speaker 1: they're not quite enslaved, but they're basically debt peons. They're

498
00:27:38,720 --> 00:27:40,520
Speaker 1: they're so in debt, and they continued to force like

499
00:27:40,680 --> 00:27:42,919
Speaker 1: they're they're in debt to the companies who import them

500
00:27:42,960 --> 00:27:44,679
Speaker 1: for work, and then all of their wages go back

501
00:27:44,680 --> 00:27:47,119
Speaker 1: to the company. And it's kind of an evolution of

502
00:27:47,200 --> 00:27:50,800
Speaker 1: like indentured servitude, but with among the group of people

503
00:27:50,920 --> 00:27:54,920
Speaker 1: that have less sympathy in the American main in yeah,

504
00:27:55,119 --> 00:27:58,280
Speaker 1: the Western mainstream, right yeah. And when when the British

505
00:27:58,320 --> 00:28:01,359
Speaker 1: are importing this, they're InCred doably explicity. They just straight

506
00:28:01,440 --> 00:28:03,159
Speaker 1: up say this is we are importing the people as

507
00:28:03,160 --> 00:28:06,320
Speaker 1: a buffer class. I mean they literally say this, you know,

508
00:28:06,400 --> 00:28:08,760
Speaker 1: and you get very similar things when when the US

509
00:28:08,760 --> 00:28:12,920
Speaker 1: starts importing Chinese labor, particularly build of rail road in

510
00:28:12,960 --> 00:28:16,520
Speaker 1: eighteen sixties and the eighteen seventies. But one of the

511
00:28:16,560 --> 00:28:19,240
Speaker 1: things that starts happening in the eighteen seventies, there's this

512
00:28:19,480 --> 00:28:24,160
Speaker 1: enormous economic collapse and you know that's some rare road speculations.

513
00:28:24,160 --> 00:28:27,479
Speaker 1: It's like, this is what is one of the great depressions? Um.

514
00:28:28,560 --> 00:28:31,800
Speaker 1: And what you start seeing immediately is everyone goes, who

515
00:28:31,840 --> 00:28:34,000
Speaker 1: do we blame for this? Oh? Wait, it's Chinese people,

516
00:28:34,960 --> 00:28:38,360
Speaker 1: because you know, there's like seventy thousand Chinese workers in California,

517
00:28:38,600 --> 00:28:43,920
Speaker 1: and so you know, people know about the It's okay,

518
00:28:43,960 --> 00:28:45,880
Speaker 1: I'm not gonna say all people. You know, some people

519
00:28:45,880 --> 00:28:47,480
Speaker 1: are a lot of people are familiar with the Chinese

520
00:28:47,520 --> 00:28:51,280
Speaker 1: Exclusion Act, which is in uh yeah, yeah, in two

521
00:28:51,360 --> 00:28:53,360
Speaker 1: the it bans all Chinese people from entering the country

522
00:28:53,360 --> 00:28:57,680
Speaker 1: you're holding citizenship. Um. And I always I always bring

523
00:28:57,800 --> 00:29:01,240
Speaker 1: this up. It came what thirty years after the United

524
00:29:01,280 --> 00:29:04,040
Speaker 1: States government because we were trying to bring in Chinese workers,

525
00:29:04,120 --> 00:29:07,120
Speaker 1: complained to the Chinese government that human beings had an

526
00:29:07,160 --> 00:29:10,120
Speaker 1: inherent right to change the nation of origin at any time.

527
00:29:12,240 --> 00:29:15,479
Speaker 1: It's actually, it's actually worse than that, because so one

528
00:29:15,520 --> 00:29:17,520
Speaker 1: of the A lot of people talked about how that

529
00:29:17,600 --> 00:29:19,560
Speaker 1: was that was the first U S immigration path. It

530
00:29:19,600 --> 00:29:21,880
Speaker 1: turns out it actually was not. And this is something

531
00:29:21,960 --> 00:29:23,840
Speaker 1: that that I found when I was looking through the

532
00:29:24,000 --> 00:29:29,840
Speaker 1: data on the reports of hate crimes um the it

533
00:29:29,960 --> 00:29:32,680
Speaker 1: turned out that so I was expecting that more women

534
00:29:32,720 --> 00:29:34,760
Speaker 1: would be reporting than men because of the way that

535
00:29:34,960 --> 00:29:40,400
Speaker 1: sort of sexual violence works in like forming like Asian

536
00:29:40,480 --> 00:29:44,840
Speaker 1: racecraft stuff. Um yeah, but okay, it turns out that

537
00:29:45,240 --> 00:29:47,480
Speaker 1: seventy percent of the people who reported stuff for women

538
00:29:48,360 --> 00:29:50,920
Speaker 1: were men. They didn't get responsive to non binding people

539
00:29:50,960 --> 00:29:53,200
Speaker 1: or people who marked it down. But you know, this

540
00:29:53,320 --> 00:29:57,680
Speaker 1: is an unbelievably lopsided ratios. It's it's the vast majority

541
00:29:57,760 --> 00:29:59,640
Speaker 1: of people who are, you know, having these crimes against

542
00:29:59,640 --> 00:30:02,160
Speaker 1: somehere men. And you know, it turns out this this

543
00:30:02,240 --> 00:30:05,719
Speaker 1: has an historical precedence. So in eighteen seventy there's something

544
00:30:05,760 --> 00:30:09,240
Speaker 1: called Anti Prostitution Act um and in seventy five is

545
00:30:09,280 --> 00:30:11,160
Speaker 1: another bolic called the Page Act. And these these are

546
00:30:11,160 --> 00:30:12,920
Speaker 1: you know, these are bills are supposed to be a prostitution.

547
00:30:13,560 --> 00:30:16,280
Speaker 1: It turns out what they're actually about is that the

548
00:30:16,360 --> 00:30:20,120
Speaker 1: white people have decided that every single Asian women like

549
00:30:20,560 --> 00:30:23,800
Speaker 1: every single Asian woman in in the United States is

550
00:30:23,840 --> 00:30:26,880
Speaker 1: a prostitute, like all of them. They've decided that like

551
00:30:26,960 --> 00:30:30,960
Speaker 1: Asian marriage isn't real and that all these people are prostitutes,

552
00:30:30,960 --> 00:30:33,080
Speaker 1: and because they're all prostitutes, they have to deport literally

553
00:30:33,160 --> 00:30:34,840
Speaker 1: all of them, and so they did. And then in

554
00:30:34,880 --> 00:30:38,200
Speaker 1: between between five and the Page Act, they ban all

555
00:30:38,320 --> 00:30:41,080
Speaker 1: Chinese women from coming to the U s. Which is

556
00:30:41,080 --> 00:30:43,840
Speaker 1: which is the actual first immigration Okay, so they say

557
00:30:43,960 --> 00:30:47,960
Speaker 1: that there's this is uh, it's between this happens between

558
00:30:47,960 --> 00:30:52,160
Speaker 1: eighteen seventy and seventy five. Um. They you know, they

559
00:30:52,200 --> 00:30:55,080
Speaker 1: say it's like women coming for immoral reasons, but you know,

560
00:30:55,280 --> 00:30:57,920
Speaker 1: they all they think, literally all Chinese women are immoral.

561
00:30:58,640 --> 00:31:00,840
Speaker 1: And yeah, so they banned trying woman for coming country

562
00:31:00,840 --> 00:31:03,960
Speaker 1: and then they deport like everyone who's here. It's just

563
00:31:04,000 --> 00:31:07,440
Speaker 1: like you know, they do ethnic cleansing. They're banning prostitutes

564
00:31:07,520 --> 00:31:11,080
Speaker 1: but also legally defining every Asian woman a prostitute. Yeah,

565
00:31:11,400 --> 00:31:14,240
Speaker 1: that's really interesting to think about in context of our

566
00:31:14,320 --> 00:31:20,840
Speaker 1: current fetization of Asian women. And this ties into something

567
00:31:20,920 --> 00:31:23,920
Speaker 1: that people aren't talking about but I think really should

568
00:31:23,920 --> 00:31:25,360
Speaker 1: be because I don't think you can understand and the

569
00:31:25,440 --> 00:31:29,280
Speaker 1: Asian Finals without it, which is this unbelievable wave. Even

570
00:31:29,400 --> 00:31:31,400
Speaker 1: in the last ten years, this has been happening like

571
00:31:31,520 --> 00:31:34,120
Speaker 1: worse than before this, this incredible wave of violence by

572
00:31:34,160 --> 00:31:38,680
Speaker 1: the police against Asian sex workers. Um, there's anything about that.

573
00:31:38,800 --> 00:31:43,440
Speaker 1: I mean, this is you keep really blowing my mind

574
00:31:43,520 --> 00:31:47,040
Speaker 1: here on on your ability to report things to us

575
00:31:47,120 --> 00:31:49,360
Speaker 1: that I think most of us have not seen in

576
00:31:49,440 --> 00:31:52,200
Speaker 1: the mainstream media. I mean, just thinking about the work

577
00:31:52,240 --> 00:31:55,120
Speaker 1: that you've done this year, digging into it. But that

578
00:31:55,520 --> 00:31:57,600
Speaker 1: sounds traumatic to me that the fact that other people

579
00:31:57,640 --> 00:31:59,440
Speaker 1: aren't doing this word well, I mean I would say

580
00:32:01,160 --> 00:32:03,000
Speaker 1: there are people who are doing this, it's just that

581
00:32:03,640 --> 00:32:06,480
Speaker 1: nobody talks to them. Like a lot of the stuff

582
00:32:06,480 --> 00:32:09,800
Speaker 1: I'm drawing from information that's been drawn from an Asian

583
00:32:09,840 --> 00:32:15,720
Speaker 1: sex workers collective called Red Canary Song who were they

584
00:32:15,760 --> 00:32:17,880
Speaker 1: were formed in response to INCID I'm about to talk about,

585
00:32:18,040 --> 00:32:21,240
Speaker 1: which is like one of the most horrific things I've

586
00:32:21,240 --> 00:32:28,080
Speaker 1: ever read about. Uh strong like sexual violence content warning. So,

587
00:32:28,440 --> 00:32:32,200
Speaker 1: in two thousand and sixteen, a sex worker and immigrant

588
00:32:32,280 --> 00:32:35,720
Speaker 1: name Yang Song is raped at gunpoint by a undercover cop.

589
00:32:37,000 --> 00:32:40,200
Speaker 1: Um she goes to the police to report this. Uh,

590
00:32:40,480 --> 00:32:42,760
Speaker 1: the police, you know, I wish I could say the

591
00:32:42,760 --> 00:32:44,640
Speaker 1: police didn't do anything, because that would have been better

592
00:32:44,680 --> 00:32:46,720
Speaker 1: than what they actually did, which was attempt to coerce

593
00:32:46,760 --> 00:32:49,960
Speaker 1: her into becoming an informant. She refuses. And when she

594
00:32:50,040 --> 00:32:53,320
Speaker 1: refuses to become an informant, uh, they repeatedly set up

595
00:32:53,360 --> 00:32:56,920
Speaker 1: sting operations to like like on on her work, to

596
00:32:57,040 --> 00:33:00,160
Speaker 1: like drag her out and humiliate her. And I mean

597
00:33:00,200 --> 00:33:03,000
Speaker 1: this goes on for this goes on for ages, and eventually,

598
00:33:03,120 --> 00:33:06,240
Speaker 1: in they do another one of these sting operations, the

599
00:33:06,280 --> 00:33:09,240
Speaker 1: police shows up and trying to escape and she jumps

600
00:33:09,240 --> 00:33:14,480
Speaker 1: out of window and dies. And you know, yeah, you know,

601
00:33:14,720 --> 00:33:18,760
Speaker 1: like the police like very directly drove her to her death,

602
00:33:19,880 --> 00:33:24,120
Speaker 1: like after they raped her rect gunpoint, and nothing there

603
00:33:24,200 --> 00:33:26,720
Speaker 1: is investigation into this whole thing by the New Ork

604
00:33:26,720 --> 00:33:29,840
Speaker 1: Place a department to investigation. They cleared everyone, like the

605
00:33:29,920 --> 00:33:32,200
Speaker 1: undercover comp who waved her a gunpoint. Nothing happened to you,

606
00:33:32,240 --> 00:33:33,760
Speaker 1: nothing happened to any of the police involved in any

607
00:33:33,760 --> 00:33:35,960
Speaker 1: of the raids. Sure, of course why I mean all

608
00:33:36,000 --> 00:33:38,920
Speaker 1: the rape and murder, but yeah, you know, and and

609
00:33:39,200 --> 00:33:42,800
Speaker 1: this this has been happening, This is this, this kind

610
00:33:42,840 --> 00:33:44,880
Speaker 1: of stuff has been happening for ages. And in the

611
00:33:45,000 --> 00:33:48,000
Speaker 1: last I think in the last like eight years, there's

612
00:33:48,040 --> 00:33:52,240
Speaker 1: been a one thousand increase in like raids and arrests

613
00:33:52,240 --> 00:33:55,560
Speaker 1: on Asian sex workers. And one of the things that

614
00:33:55,600 --> 00:33:57,840
Speaker 1: they've been using this to do is collaborating with ICE

615
00:33:57,880 --> 00:34:00,080
Speaker 1: and doing and using this to do mass deportations and

616
00:34:00,120 --> 00:34:02,400
Speaker 1: the guys sort of fighting traffic beal, they're not fighting

617
00:34:02,440 --> 00:34:05,040
Speaker 1: trafficing like like these are the people who are abusing

618
00:34:05,080 --> 00:34:08,000
Speaker 1: the sex workers. It's the cops. You know. This ties

619
00:34:08,040 --> 00:34:10,759
Speaker 1: into a lot of there's there's been, especially from sort

620
00:34:10,760 --> 00:34:16,360
Speaker 1: of mainstream liberal Asian Americans, this call for these you know,

621
00:34:16,480 --> 00:34:18,600
Speaker 1: they want every single police to I might have a

622
00:34:18,640 --> 00:34:21,120
Speaker 1: hate crimes union, and they want increased police presence. And

623
00:34:22,040 --> 00:34:27,400
Speaker 1: you know, um Louvy Sha chef am I liking on uh,

624
00:34:28,280 --> 00:34:30,200
Speaker 1: the mayor of Oakland, gave this speech after one of

625
00:34:30,239 --> 00:34:32,000
Speaker 1: the attacks where she said, oh, this is this is

626
00:34:32,040 --> 00:34:36,800
Speaker 1: why we can't defund the police. That's not an example

627
00:34:36,880 --> 00:34:39,160
Speaker 1: of why we shouldn't defund the police, you know, And

628
00:34:39,480 --> 00:34:40,840
Speaker 1: there's a lot of ways look at this. One of

629
00:34:40,880 --> 00:34:44,000
Speaker 1: it is like the Oakland Police Department, like they're funding

630
00:34:44,920 --> 00:34:47,520
Speaker 1: is the science of like a medium sized military budget

631
00:34:47,600 --> 00:34:50,719
Speaker 1: for like any other country. Yeah, and you know, and

632
00:34:50,840 --> 00:34:52,040
Speaker 1: you know this, this is one of the most police

633
00:34:52,040 --> 00:34:53,840
Speaker 1: cities in the world. And guess what, people are getting

634
00:34:53,840 --> 00:34:55,719
Speaker 1: shot in the face with a flair gun in the streets, right,

635
00:34:55,760 --> 00:34:57,960
Speaker 1: it doesn't doesn't do any of the comps don't care. Yeah,

636
00:34:58,000 --> 00:34:59,840
Speaker 1: if you're spending all this money but you're not protecting

637
00:34:59,880 --> 00:35:02,719
Speaker 1: your citizens, yeah, well, you know, it's it's it's it's

638
00:35:02,760 --> 00:35:05,080
Speaker 1: it's it's it's almost like as as you know, has

639
00:35:05,120 --> 00:35:07,520
Speaker 1: has been demonstrated over the summer that the point of

640
00:35:07,600 --> 00:35:11,640
Speaker 1: the police is to kill, enslave black people and protect property, right,

641
00:35:11,719 --> 00:35:13,800
Speaker 1: and you know, and occasionally on the side they do

642
00:35:13,880 --> 00:35:16,880
Speaker 1: anti Asian violence and you know, yeah, I mean we

643
00:35:16,960 --> 00:35:19,799
Speaker 1: all like everybody's got a side hustle, you know, yeah, yeah,

644
00:35:20,719 --> 00:35:22,719
Speaker 1: just and and you know, one of there there's there's

645
00:35:22,719 --> 00:35:25,680
Speaker 1: another case of this that got also like somewhat not

646
00:35:26,000 --> 00:35:30,520
Speaker 1: that much coverage. Last year. There was a nineteen year

647
00:35:30,520 --> 00:35:33,759
Speaker 1: old in Christian Hall who and I want to put

648
00:35:33,800 --> 00:35:36,440
Speaker 1: something fourth years kind of important to talk about. He's

649
00:35:36,440 --> 00:35:38,680
Speaker 1: an adoptee. A lot of people seem to think that

650
00:35:38,719 --> 00:35:41,600
Speaker 1: adoptees get less racism or something because they're more assimilated.

651
00:35:42,480 --> 00:35:46,319
Speaker 1: So he called the Pennsylvania police in December while having

652
00:35:46,360 --> 00:35:49,360
Speaker 1: a mental health crisis. Um, the police showed up, shot

653
00:35:49,440 --> 00:35:50,960
Speaker 1: him and then published a thing about how he had

654
00:35:50,960 --> 00:35:53,040
Speaker 1: a gun and was pointing out there's no gun. They

655
00:35:53,120 --> 00:35:56,480
Speaker 1: just murdered him and called blood. Right. You know, none

656
00:35:56,480 --> 00:35:58,360
Speaker 1: of the none of the stuff protected him. And you know,

657
00:35:58,560 --> 00:36:01,480
Speaker 1: these are the people who all of like you know

658
00:36:01,600 --> 00:36:04,759
Speaker 1: who people who Asian American labels are saying should protect us.

659
00:36:05,760 --> 00:36:07,480
Speaker 1: It was like, no, no, these are the same. These

660
00:36:07,520 --> 00:36:10,360
Speaker 1: are the same people who are killing us. Right. You

661
00:36:10,440 --> 00:36:25,960
Speaker 1: can't like this together everything. I'm curious. There are a

662
00:36:26,080 --> 00:36:30,000
Speaker 1: lot it's the Asian American community. I know, I have

663
00:36:30,080 --> 00:36:32,840
Speaker 1: to work on that label. It's so comprehensive, big, but

664
00:36:33,680 --> 00:36:38,360
Speaker 1: um reporting of crimes. Is there a tendency to report

665
00:36:38,440 --> 00:36:40,840
Speaker 1: crimes or is there is that all packed in with

666
00:36:41,080 --> 00:36:44,440
Speaker 1: part of this myth the model minority of being a

667
00:36:44,600 --> 00:36:47,480
Speaker 1: citizens and stuff like that, because I I from what

668
00:36:47,560 --> 00:36:50,080
Speaker 1: I understand, there might be some cultural reticence to rock

669
00:36:50,200 --> 00:36:54,040
Speaker 1: the boat. I don't know if I'm putting fair words

670
00:36:54,080 --> 00:36:57,439
Speaker 1: on this or whatever, but I think there's there's there's

671
00:36:57,600 --> 00:37:01,800
Speaker 1: two sort of conflicting tendencies here because the modern minority

672
00:37:01,960 --> 00:37:06,600
Speaker 1: thing is about like it's it's one specific group of

673
00:37:06,640 --> 00:37:09,200
Speaker 1: Asian Americans who sort of get held up as like

674
00:37:09,320 --> 00:37:10,839
Speaker 1: this thing. And you know, they were able to enter

675
00:37:10,880 --> 00:37:13,879
Speaker 1: the middle class and to the professional class. And yeah,

676
00:37:13,920 --> 00:37:15,440
Speaker 1: those people you could argue, Oh, they don't want to

677
00:37:15,480 --> 00:37:17,879
Speaker 1: rock the boat the report stuff. The reason most people

678
00:37:17,960 --> 00:37:20,880
Speaker 1: don't most Asian people don't report crimes the police is

679
00:37:20,880 --> 00:37:23,600
Speaker 1: because the police hate them. So you know, like this

680
00:37:23,760 --> 00:37:25,200
Speaker 1: this was the big thing in New York, Like there's

681
00:37:25,239 --> 00:37:26,960
Speaker 1: there's a bunch of Asian street vendors that the police

682
00:37:27,040 --> 00:37:29,719
Speaker 1: tack constantly. I'm just like, beat the crap out of them,

683
00:37:29,760 --> 00:37:31,799
Speaker 1: and it's horrible stuff. And you know, those people don't

684
00:37:31,800 --> 00:37:33,560
Speaker 1: talk to the cops when hate crames happen because the

685
00:37:33,640 --> 00:37:36,600
Speaker 1: cops are doing hate crames against them. And you know,

686
00:37:36,760 --> 00:37:39,359
Speaker 1: and this and this sort of this this is where

687
00:37:39,800 --> 00:37:42,840
Speaker 1: you know, one of one of the one of the

688
00:37:43,040 --> 00:37:47,479
Speaker 1: really sinister effects of of the the sort of model

689
00:37:47,480 --> 00:37:54,000
Speaker 1: minority myth is everyone you know, it erases the fact

690
00:37:54,080 --> 00:37:57,839
Speaker 1: that extremely large number of Asian Americans are poor, um,

691
00:37:59,000 --> 00:38:03,080
Speaker 1: and that those people, you know, they have no they

692
00:38:03,160 --> 00:38:05,600
Speaker 1: they basically every anytime they do any kind of political

693
00:38:05,680 --> 00:38:07,920
Speaker 1: or I think everyone just ignores them, and everyone just

694
00:38:07,960 --> 00:38:10,360
Speaker 1: sort of assumes that, oh, like whatever they're they're secretly

695
00:38:10,400 --> 00:38:12,839
Speaker 1: wealthy or something or that you know, or or it's

696
00:38:12,880 --> 00:38:14,960
Speaker 1: just the sort of like the rising Asian middle class

697
00:38:15,160 --> 00:38:16,920
Speaker 1: or you know, Asian actors who get all of the

698
00:38:17,000 --> 00:38:21,040
Speaker 1: sort of attention, and you know, and and and a

699
00:38:21,120 --> 00:38:23,320
Speaker 1: lot of and this has been a sort of I

700
00:38:23,360 --> 00:38:25,239
Speaker 1: think it's one of the sort of crisis in Asian

701
00:38:25,239 --> 00:38:29,719
Speaker 1: American community because you know, that generation of professionals like

702
00:38:30,080 --> 00:38:34,080
Speaker 1: genuinely believed that they could be assimilated into American society,

703
00:38:34,320 --> 00:38:36,399
Speaker 1: right that you know, if if they if they paid

704
00:38:36,440 --> 00:38:39,799
Speaker 1: their dues, if they you know, if they worked hard,

705
00:38:40,960 --> 00:38:44,319
Speaker 1: right that and you know, and the other grim part

706
00:38:44,360 --> 00:38:46,719
Speaker 1: about this is you know, if they engage in anti

707
00:38:46,760 --> 00:38:51,279
Speaker 1: black violence, that that they would be protected. But you know,

708
00:38:51,960 --> 00:38:54,680
Speaker 1: the problem with this is that the minority myth essentially

709
00:38:54,719 --> 00:38:57,320
Speaker 1: turns Asian Americans into a stick, right and you the

710
00:38:57,560 --> 00:38:59,480
Speaker 1: white people use that stick to beat Black people with.

711
00:38:59,560 --> 00:39:00,920
Speaker 1: It's like, oh, if you just worked harder, if you

712
00:39:00,960 --> 00:39:04,160
Speaker 1: had the culture of Asian Americans, like if you two

713
00:39:04,280 --> 00:39:08,000
Speaker 1: had an unbelievable amount of capital from when you know,

714
00:39:08,160 --> 00:39:12,120
Speaker 1: people fled the right, like the Communist Party in China,

715
00:39:12,160 --> 00:39:13,680
Speaker 1: Like if if you two had all of this like

716
00:39:13,880 --> 00:39:16,719
Speaker 1: sort of like you know, they don't talk about that part, right,

717
00:39:16,719 --> 00:39:18,719
Speaker 1: but it's like, you know, if you two like worked

718
00:39:18,719 --> 00:39:20,680
Speaker 1: as hard as the Asians did, like you wouldn't be poor.

719
00:39:20,719 --> 00:39:22,719
Speaker 1: And it's like no, but you know, they're they're using

720
00:39:22,800 --> 00:39:26,520
Speaker 1: us as a stick, right, But fundamentally, a stick is

721
00:39:26,560 --> 00:39:30,040
Speaker 1: still a stick. It's not a person. And even if

722
00:39:30,040 --> 00:39:31,920
Speaker 1: you're being held with the heads of black people, like

723
00:39:32,360 --> 00:39:34,120
Speaker 1: the moment the stick is inconvenient, they're gonna throw it

724
00:39:34,120 --> 00:39:38,200
Speaker 1: away under a bus and you're gonna snap and yeah, yeah, yeah,

725
00:39:38,239 --> 00:39:40,240
Speaker 1: You're not a person. And a lot of people haven't

726
00:39:40,400 --> 00:39:44,880
Speaker 1: realized this, and you know, and I think there's another

727
00:39:45,239 --> 00:39:49,200
Speaker 1: very grim tendency of you get you get kinds of

728
00:39:49,280 --> 00:39:53,000
Speaker 1: Asian nationalism that are based on this where like if

729
00:39:53,200 --> 00:39:56,200
Speaker 1: you remember like the riots in ninety two, right, one

730
00:39:56,239 --> 00:39:59,000
Speaker 1: of the things you see Asian shopkeepers forming these like

731
00:39:59,520 --> 00:40:03,520
Speaker 1: like basic proto facist paramilitaries. And you will see among

732
00:40:03,600 --> 00:40:06,879
Speaker 1: the far right um boogaloo boys and Nazis the term

733
00:40:06,960 --> 00:40:09,840
Speaker 1: rooftop Koreans and often with like an image of like

734
00:40:10,440 --> 00:40:13,680
Speaker 1: Asian business owners in Los Angeles on their roofs with rifles. Yeah,

735
00:40:13,680 --> 00:40:17,040
Speaker 1: it's it's a big um, a very common term that

736
00:40:17,200 --> 00:40:19,920
Speaker 1: kind of unites the kind of libertarian far right with

737
00:40:20,000 --> 00:40:24,000
Speaker 1: the explicitly nazi far right. Yeah. Absolutely. And And one

738
00:40:24,040 --> 00:40:26,000
Speaker 1: of the things that's scary, but there's a lot of

739
00:40:26,000 --> 00:40:28,239
Speaker 1: things they're scary about this. One is that there are

740
00:40:28,320 --> 00:40:30,560
Speaker 1: people who still want that right, Like there there are

741
00:40:30,600 --> 00:40:34,839
Speaker 1: business owners whose thing is like they're racist, and they

742
00:40:34,920 --> 00:40:36,760
Speaker 1: look at this and go, our ticket, like our ticket

743
00:40:36,840 --> 00:40:39,600
Speaker 1: into the American project, right is we're going to help

744
00:40:39,640 --> 00:40:42,959
Speaker 1: the white people, like keep keep black people in line.

745
00:40:43,280 --> 00:40:45,600
Speaker 1: We're gonna murder them, We're gonna we're gonna become para militaries,

746
00:40:45,600 --> 00:40:47,120
Speaker 1: We're gonna do all of this stuff. Again, we're gonna

747
00:40:47,160 --> 00:40:49,120
Speaker 1: frame it in the terms the sort of community self defense,

748
00:40:49,160 --> 00:40:50,560
Speaker 1: blah blah blah blah blah. But you know, they're just

749
00:40:51,239 --> 00:40:54,040
Speaker 1: these these these are just the racist nationalists who want

750
00:40:54,040 --> 00:40:56,560
Speaker 1: to race war, right, They're not they're not really fundamentally

751
00:40:56,640 --> 00:41:00,799
Speaker 1: different than the white nationalists. And the second thing that's

752
00:41:00,840 --> 00:41:03,000
Speaker 1: heared about this is you see a lot of people

753
00:41:03,120 --> 00:41:08,719
Speaker 1: in this moment attempting to use so attempting to use

754
00:41:09,239 --> 00:41:10,640
Speaker 1: there's there's always been a sort of there's like a

755
00:41:11,120 --> 00:41:13,600
Speaker 1: you know, the Asian American community is like any other community.

756
00:41:13,600 --> 00:41:15,640
Speaker 1: There's always right wing currentries, left wing currents in it.

757
00:41:15,840 --> 00:41:18,200
Speaker 1: They're just you know, we're people. We have different politics.

758
00:41:19,000 --> 00:41:21,840
Speaker 1: Um there. The Asian American has its own men's rights movement.

759
00:41:22,600 --> 00:41:25,680
Speaker 1: Who are Yeah? Who are who are you? They're exactly

760
00:41:25,680 --> 00:41:27,160
Speaker 1: what you expect from a men's rights movement, But they

761
00:41:27,160 --> 00:41:29,320
Speaker 1: also have this They're obsessed with the fact that like

762
00:41:30,000 --> 00:41:31,400
Speaker 1: it's not just that women won't date them, as that

763
00:41:31,440 --> 00:41:35,279
Speaker 1: Asian women won't date them either. Awful, Um, they suck.

764
00:41:35,880 --> 00:41:38,200
Speaker 1: Do not give anyone you're doing this time of day.

765
00:41:38,719 --> 00:41:42,000
Speaker 1: And but you know, like the Nazi right is recruiting

766
00:41:42,040 --> 00:41:44,279
Speaker 1: from these people as as the sort of attacks come on.

767
00:41:44,320 --> 00:41:47,239
Speaker 1: They're doing it incredibly very I've seen like sort of

768
00:41:47,360 --> 00:41:51,160
Speaker 1: screencapts that they're doing this in very sophisticated ways, because

769
00:41:51,719 --> 00:41:54,600
Speaker 1: you know that what we're seeing right now is is

770
00:41:54,719 --> 00:41:57,800
Speaker 1: the failure of the sort of like of of the

771
00:41:57,800 --> 00:41:59,960
Speaker 1: people who genuinely believe the model I know, whady myth

772
00:42:00,080 --> 00:42:02,279
Speaker 1: of the sort of I guess you call it the

773
00:42:02,320 --> 00:42:06,560
Speaker 1: assimilationist tendency or the tendency of you know, we we

774
00:42:06,640 --> 00:42:09,760
Speaker 1: can integrate with the American state, we can become wealthy together.

775
00:42:10,640 --> 00:42:13,640
Speaker 1: That that's collapsing, and it is wake you're seeing, you know,

776
00:42:13,719 --> 00:42:15,479
Speaker 1: the amounts of the far right, and you're also seeing

777
00:42:18,080 --> 00:42:20,280
Speaker 1: like I get you know, like you can call them tankies,

778
00:42:20,280 --> 00:42:22,880
Speaker 1: but that's sort of not what's going on with some

779
00:42:22,960 --> 00:42:24,200
Speaker 1: of these people. They're like there's a lot of people

780
00:42:24,200 --> 00:42:27,239
Speaker 1: who've been driven basically the Chinese nationalism in response to

781
00:42:28,520 --> 00:42:30,840
Speaker 1: just you know, the absolute horror at the fact that

782
00:42:30,880 --> 00:42:34,640
Speaker 1: we were bring murdered in the streets, right, and that's

783
00:42:34,680 --> 00:42:36,920
Speaker 1: grim in its own way, because you know, the CCP

784
00:42:37,040 --> 00:42:39,960
Speaker 1: doesn't they don't care about us, Like like the the

785
00:42:40,120 --> 00:42:42,239
Speaker 1: U S could kill every single Asian American and as

786
00:42:42,320 --> 00:42:43,759
Speaker 1: and as long as and as long as the rate

787
00:42:43,800 --> 00:42:46,319
Speaker 1: of returns, as as as long as rat it turns

788
00:42:46,719 --> 00:42:49,160
Speaker 1: were maintained, as long as long as American capital flowing

789
00:42:49,160 --> 00:42:52,440
Speaker 1: into China, the CCP wouldn't care. But there's a lot

790
00:42:52,440 --> 00:42:55,160
Speaker 1: of people who genuinely believe that that if they defend

791
00:42:55,200 --> 00:42:57,719
Speaker 1: the CCP, if the you know, because they're they're also

792
00:42:57,800 --> 00:43:00,560
Speaker 1: buying in fundamentally to the sort of the inflation of

793
00:43:00,680 --> 00:43:03,800
Speaker 1: race nation state, right, and like people that that the

794
00:43:03,920 --> 00:43:06,000
Speaker 1: national and stuff based on and they believe that if

795
00:43:06,040 --> 00:43:08,200
Speaker 1: they can convince Americans that the CCP is good, that

796
00:43:08,239 --> 00:43:13,000
Speaker 1: people won't be racist against them anymore, and it won't work.

797
00:43:13,239 --> 00:43:15,400
Speaker 1: And it's like I feel for them, like I really do,

798
00:43:15,719 --> 00:43:19,000
Speaker 1: but that that's not gonna work, that that that is

799
00:43:19,080 --> 00:43:21,440
Speaker 1: not the act. The actual racism is sort of baked

800
00:43:21,480 --> 00:43:25,160
Speaker 1: into just the core of the American project is it's

801
00:43:25,160 --> 00:43:27,120
Speaker 1: not something that can be changed by geopolitics. It's not

802
00:43:27,200 --> 00:43:30,279
Speaker 1: something that can you know, it's the sell something you

803
00:43:30,280 --> 00:43:32,400
Speaker 1: can change with that. And the CCP isn't coming to

804
00:43:32,480 --> 00:43:36,960
Speaker 1: save you, right, No one is. And that's that's an

805
00:43:37,000 --> 00:43:42,520
Speaker 1: incredibly grim thing to realize, right that, you know, sort

806
00:43:42,520 --> 00:43:45,839
Speaker 1: of liberal norms aren't going to protect us, like there's

807
00:43:45,880 --> 00:43:47,960
Speaker 1: no there's no one outside sort of coming to save us.

808
00:43:48,000 --> 00:43:52,880
Speaker 1: It's just us. You can drive people to these different

809
00:43:52,960 --> 00:43:57,880
Speaker 1: corners because it's so ineffective in doing that well. And

810
00:43:57,960 --> 00:44:01,799
Speaker 1: that's I think a lot of the and that we're

811
00:44:01,920 --> 00:44:05,440
Speaker 1: we're getting well off the topic of of violencing and

812
00:44:05,480 --> 00:44:07,200
Speaker 1: st Asian Americans we get into this, but I think

813
00:44:07,239 --> 00:44:08,840
Speaker 1: one of the things that is the biggest problem on

814
00:44:08,880 --> 00:44:13,320
Speaker 1: the left right now is you have this tremendous amount

815
00:44:13,440 --> 00:44:17,120
Speaker 1: of division that's based you know, there's a lot that

816
00:44:17,239 --> 00:44:19,480
Speaker 1: goes into it, including disinformation, but a lot of it

817
00:44:19,560 --> 00:44:22,920
Speaker 1: comes down to a lot of leftists want to believe

818
00:44:23,000 --> 00:44:26,600
Speaker 1: that there's someone out there who's either coming to save

819
00:44:26,719 --> 00:44:29,920
Speaker 1: them or who if they emulate that nation, whatever that

820
00:44:30,080 --> 00:44:34,680
Speaker 1: party effectively enough, it will save them. And like it's

821
00:44:34,840 --> 00:44:38,480
Speaker 1: it's I understand the desire, right, I understand the desire

822
00:44:38,520 --> 00:44:39,680
Speaker 1: to want to think that, look, if we just do

823
00:44:39,800 --> 00:44:41,680
Speaker 1: what the Soviets did, right, this will fix all of

824
00:44:41,719 --> 00:44:44,719
Speaker 1: our problems. And it's like, no, there's they murdered the

825
00:44:44,760 --> 00:44:50,000
Speaker 1: biggest freshwater lake uh in continental Europe, making bombs too,

826
00:44:50,200 --> 00:44:53,160
Speaker 1: like they like, it didn't it didn't save anyone. There's

827
00:44:53,200 --> 00:44:57,960
Speaker 1: no one coming to save us with that. This is

828
00:44:58,000 --> 00:45:00,759
Speaker 1: what's so depressing about the sort of training nationalist turn

829
00:45:00,880 --> 00:45:03,840
Speaker 1: is that we tried this. There there were two different

830
00:45:03,960 --> 00:45:06,759
Speaker 1: left wing nationalist parties in China, but one of them,

831
00:45:06,800 --> 00:45:09,239
Speaker 1: you knows, the Nationalist Party, the Glooming Dong run by

832
00:45:09,480 --> 00:45:12,560
Speaker 1: Schenkai check right, and you know he was like the

833
00:45:12,840 --> 00:45:18,400
Speaker 1: model of the left wing national liberation person until like

834
00:45:18,840 --> 00:45:20,640
Speaker 1: there's a revolution in Shanghai and you know, the workers

835
00:45:20,680 --> 00:45:24,160
Speaker 1: take the city and Shankai Check goes, wait, oh god,

836
00:45:24,960 --> 00:45:26,320
Speaker 1: what do what do you what do you mean? Like

837
00:45:26,520 --> 00:45:28,759
Speaker 1: Chinese workers want their like want wants to be able

838
00:45:28,760 --> 00:45:30,960
Speaker 1: to like run their own country, by their own unions,

839
00:45:31,040 --> 00:45:33,400
Speaker 1: by their own factory councils, and he just murders them all.

840
00:45:33,760 --> 00:45:36,239
Speaker 1: There's a huge massacre and then you know, yeah, and

841
00:45:36,280 --> 00:45:37,800
Speaker 1: then then you know, bye bye, bye bye. By the

842
00:45:37,920 --> 00:45:39,879
Speaker 1: end of the thirties, Schenkai Check is calling himself General

843
00:45:40,000 --> 00:45:43,200
Speaker 1: Lesimo and his allied was Alan with Hitler, right, and

844
00:45:43,239 --> 00:45:45,319
Speaker 1: they have the CCP, and the CCP does a very

845
00:45:45,360 --> 00:45:47,359
Speaker 1: similar thing is oh wait, their left wing group, their

846
00:45:47,400 --> 00:45:48,640
Speaker 1: left wing group to the left and group, and they

847
00:45:48,640 --> 00:45:50,840
Speaker 1: pivot they ally with the U S. They invade Vietnam,

848
00:45:51,600 --> 00:45:53,799
Speaker 1: and you know, by the time he hit now right,

849
00:45:54,320 --> 00:45:58,319
Speaker 1: there's you know, you read these reports about I mean

850
00:45:58,600 --> 00:46:02,120
Speaker 1: what you know, what's what our Chinese workers going through? Um,

851
00:46:02,520 --> 00:46:04,040
Speaker 1: you know I'm talking. I was talking to my family

852
00:46:04,400 --> 00:46:09,759
Speaker 1: yesterday and there there's an old Chinese greeting that is,

853
00:46:10,600 --> 00:46:12,799
Speaker 1: when you greet someone, you asked them have they eaten yet?

854
00:46:13,680 --> 00:46:15,080
Speaker 1: And you know, you're sure you're kind of supposed to

855
00:46:15,120 --> 00:46:16,640
Speaker 1: say it like yeah, I've eaten, but like you know,

856
00:46:16,719 --> 00:46:18,719
Speaker 1: if you say no, like you said, you haven't eaten,

857
00:46:18,800 --> 00:46:21,799
Speaker 1: like they will, you will be fed kick it out.

858
00:46:22,239 --> 00:46:24,200
Speaker 1: Yeah right, So so in like the I think in

859
00:46:24,320 --> 00:46:25,800
Speaker 1: like the sixties and malice, trying to change is to

860
00:46:25,840 --> 00:46:27,880
Speaker 1: have you worked yet? And this was like a fiasco

861
00:46:28,400 --> 00:46:30,120
Speaker 1: that it didn't work. No, no one, no one was

862
00:46:30,160 --> 00:46:32,080
Speaker 1: going to walk up someone to say have you worked yet? Right,

863
00:46:32,280 --> 00:46:34,960
Speaker 1: you don't just change something like that. Yeah. Well, but

864
00:46:35,080 --> 00:46:37,880
Speaker 1: but the grim thing is that there has been a

865
00:46:37,960 --> 00:46:39,880
Speaker 1: sort of and some of it's kind of ironic, but

866
00:46:40,040 --> 00:46:43,719
Speaker 1: like people now asking each other have you slept yet?

867
00:46:44,760 --> 00:46:48,840
Speaker 1: Because China has no it's grim what you're doing. This

868
00:46:49,000 --> 00:46:55,279
Speaker 1: is because China called, which is it's it's the worst

869
00:46:55,280 --> 00:46:57,160
Speaker 1: schedule where you work from nine am to nine pm,

870
00:46:57,200 --> 00:47:00,760
Speaker 1: six days a week. Jesus Christ. Yeah, this is what's happening.

871
00:47:00,840 --> 00:47:03,440
Speaker 1: And you know this, and that's that's not even the

872
00:47:03,560 --> 00:47:06,480
Speaker 1: worst of it. There's a bunch of reports about Chinese

873
00:47:06,520 --> 00:47:09,359
Speaker 1: delivery drivers, right and these people are working fourteen hours

874
00:47:09,440 --> 00:47:12,719
Speaker 1: a day, they're making basically nothing, and it's got to

875
00:47:12,760 --> 00:47:14,480
Speaker 1: the point where these people sort of letting themselves on

876
00:47:14,560 --> 00:47:17,719
Speaker 1: fire because they literally couldn't take it anymore. Because you know,

877
00:47:17,840 --> 00:47:19,799
Speaker 1: you you work fourteen hours a day, you can't keep

878
00:47:19,840 --> 00:47:23,920
Speaker 1: your family alive, and and then the company steals from you. Yeah, right,

879
00:47:24,080 --> 00:47:26,160
Speaker 1: And but you know, if you if you look at this, right,

880
00:47:26,320 --> 00:47:29,400
Speaker 1: this is this is incredibly similar to what American delivery

881
00:47:29,480 --> 00:47:32,279
Speaker 1: drivers are going through now, many of whom are also Asian. Right,

882
00:47:32,320 --> 00:47:33,800
Speaker 1: It's like, you know, they're they're being there. You know,

883
00:47:33,880 --> 00:47:38,600
Speaker 1: our government has decided to feed them into a pandemic rights. Yeah,

884
00:47:38,760 --> 00:47:41,960
Speaker 1: I mean, it's not entirely dissimilar from farmers in the

885
00:47:42,040 --> 00:47:45,920
Speaker 1: Indian subcontinent drinking pesticides, you know, as as a protesting

886
00:47:45,960 --> 00:47:48,759
Speaker 1: it like it's this, it's yeah, these are all the

887
00:47:48,880 --> 00:47:54,640
Speaker 1: results of inhuman systems forcing people into misery for profit,

888
00:47:55,280 --> 00:47:59,480
Speaker 1: forcing people to live in an unhumane, inhumane capacent like

889
00:47:59,680 --> 00:48:08,400
Speaker 1: that's a sustainable endeavor. No, it's you know this, this

890
00:48:08,640 --> 00:48:11,680
Speaker 1: is one of the most depressing things about about anti

891
00:48:11,760 --> 00:48:15,640
Speaker 1: Chinese racism, anti Asian racism, and he's also anti Japanese

892
00:48:15,760 --> 00:48:19,200
Speaker 1: racism in the eighties where you know, when when when

893
00:48:19,239 --> 00:48:21,360
Speaker 1: the American economy falls apart, you can you know, you

894
00:48:21,400 --> 00:48:23,960
Speaker 1: can blame you can blame the Japanese economy, right, I mean,

895
00:48:24,000 --> 00:48:26,120
Speaker 1: in the eighties, like Okay, the thing that the short

896
00:48:26,160 --> 00:48:28,440
Speaker 1: the American economy in the eighties was that Reagan decided

897
00:48:28,480 --> 00:48:31,120
Speaker 1: he was going to raise interest rates and specifically attempting

898
00:48:31,120 --> 00:48:36,360
Speaker 1: to raise unemployment. Right, Reagan gutted the country. But you know,

899
00:48:36,560 --> 00:48:39,040
Speaker 1: the the U a W and a lot a lot

900
00:48:39,080 --> 00:48:41,319
Speaker 1: of the auto workers in the Troy who are seeing,

901
00:48:41,440 --> 00:48:43,880
Speaker 1: you know that they're getting blown out by serve by

902
00:48:43,960 --> 00:48:48,560
Speaker 1: the Japanese imports. Like people, people blame japan and there's

903
00:48:48,560 --> 00:48:52,560
Speaker 1: the attacks on Japanese people. Eventually, this is one of

904
00:48:52,600 --> 00:48:54,600
Speaker 1: the starts of the Asian civil rights movement. They murder

905
00:48:54,680 --> 00:48:57,800
Speaker 1: this dude named Vincent Chinn, who's not Japanese. He's just

906
00:48:57,960 --> 00:49:03,520
Speaker 1: a guy. And you know when when when the when

907
00:49:03,560 --> 00:49:07,560
Speaker 1: the sort of the nascent Asian American civil rights movement

908
00:49:07,640 --> 00:49:10,200
Speaker 1: goes to talk to the U a W. The the

909
00:49:10,360 --> 00:49:12,279
Speaker 1: head of the U a W local says, yeah, well,

910
00:49:12,320 --> 00:49:15,120
Speaker 1: we'll back you because he's not he's not Japanese. But

911
00:49:15,440 --> 00:49:20,319
Speaker 1: with Japanese it would be understandable. And it's it's it's

912
00:49:20,480 --> 00:49:23,800
Speaker 1: it's so depressing. It's how cynical this is, right, like

913
00:49:24,000 --> 00:49:27,040
Speaker 1: like this this this this is a it's a completely

914
00:49:27,080 --> 00:49:29,200
Speaker 1: cynical thing by the American ruling class. It is, it

915
00:49:29,360 --> 00:49:32,560
Speaker 1: is at its core, like it is the most pure

916
00:49:32,640 --> 00:49:35,719
Speaker 1: example of we can get these workers who are unemployed

917
00:49:35,760 --> 00:49:38,000
Speaker 1: because the government has screwed them, because capitalism is screwed

918
00:49:38,000 --> 00:49:39,279
Speaker 1: that we can get them to blame agtions. We can

919
00:49:39,320 --> 00:49:41,000
Speaker 1: get them to blame the Japanese people. Right now, you

920
00:49:41,200 --> 00:49:43,680
Speaker 1: see this with China. It's like we we can blame

921
00:49:43,800 --> 00:49:45,920
Speaker 1: China for the pandemic right when you were in reality

922
00:49:46,040 --> 00:49:49,239
Speaker 1: was the American government fed half a million people to

923
00:49:49,400 --> 00:49:52,560
Speaker 1: a plague, But you know, we can blame the Chinese

924
00:49:52,600 --> 00:49:56,040
Speaker 1: for it. And but it's like and you know, Chinese

925
00:49:56,120 --> 00:49:59,360
Speaker 1: workers are suffering under exactly exactly the same but you

926
00:49:59,400 --> 00:50:01,360
Speaker 1: know a lot of ways worse like conditions that American

927
00:50:01,400 --> 00:50:05,160
Speaker 1: workers are. But you can't get people to understand this

928
00:50:05,400 --> 00:50:07,480
Speaker 1: because you know this this, this is this is one

929
00:50:07,480 --> 00:50:09,560
Speaker 1: of the purposes of sort of anti ation. Racism is

930
00:50:09,640 --> 00:50:14,239
Speaker 1: too obscure the fact that fundamentally, you know, and I

931
00:50:14,280 --> 00:50:16,239
Speaker 1: don't want to get sort of too much into the

932
00:50:16,280 --> 00:50:19,080
Speaker 1: world and this together because you know, like there there, there, there,

933
00:50:19,160 --> 00:50:20,759
Speaker 1: there's a lot of there's lots of violence going on

934
00:50:20,880 --> 00:50:23,440
Speaker 1: here in a lot of different ways. But like like

935
00:50:23,880 --> 00:50:27,600
Speaker 1: you know, the factory workers who are dying in China

936
00:50:27,760 --> 00:50:30,840
Speaker 1: are there's basically no difference between them and the factory

937
00:50:30,880 --> 00:50:32,919
Speaker 1: workers who are dying of plagues in the US, people

938
00:50:32,960 --> 00:50:35,279
Speaker 1: who are dying in neat factories, right, there's no there's

939
00:50:35,280 --> 00:50:39,799
Speaker 1: no difference see them. It's just you know, like we're

940
00:50:39,800 --> 00:50:43,239
Speaker 1: all We're all just workers getting just absolutely stamped on

941
00:50:44,000 --> 00:50:46,319
Speaker 1: by a bunch of people who you know, by by

942
00:50:46,400 --> 00:50:47,919
Speaker 1: by by the parts of the U. S and China

943
00:50:47,960 --> 00:50:49,360
Speaker 1: who are having a race to see who can hit

944
00:50:49,400 --> 00:50:56,200
Speaker 1: the most billionaires. Yeah, and it's you know, and you know,

945
00:50:56,360 --> 00:50:58,840
Speaker 1: and the you know, the way that they sort of

946
00:50:59,200 --> 00:51:01,719
Speaker 1: call them economic traditions are resolved is instead of doing

947
00:51:01,719 --> 00:51:13,839
Speaker 1: anything about them, we kill Asian Americans well together, everything down, down, down.

948
00:51:15,200 --> 00:51:19,600
Speaker 1: So I'm not going to ask how do we solve

949
00:51:20,000 --> 00:51:24,240
Speaker 1: the broader problem of you know, how atomized the working

950
00:51:24,320 --> 00:51:29,120
Speaker 1: classes globally? Um, I will ask what what can be done,

951
00:51:30,160 --> 00:51:34,800
Speaker 1: like in the face of this very immediate problem of

952
00:51:34,840 --> 00:51:38,239
Speaker 1: a surge of violence in the United States against Asian Americans,

953
00:51:38,360 --> 00:51:43,640
Speaker 1: Like what what can people listening or should like is

954
00:51:43,719 --> 00:51:47,320
Speaker 1: there any Yeah, I don't know that that that's my question,

955
00:51:47,440 --> 00:51:50,080
Speaker 1: Like what do we I guess you have any advice.

956
00:51:51,760 --> 00:51:53,960
Speaker 1: So the first thing I would say is anyone who's

957
00:51:54,000 --> 00:51:55,880
Speaker 1: offering you a magic here is trying to sell you

958
00:51:56,000 --> 00:51:59,400
Speaker 1: something like there there's a lot of people, you know,

959
00:51:59,719 --> 00:52:02,000
Speaker 1: the every time one of these things happens, right, there's

960
00:52:02,120 --> 00:52:04,560
Speaker 1: you know, there's all these lists of organizations and stuff,

961
00:52:04,600 --> 00:52:08,000
Speaker 1: and they'll be like, oh, donate to this place. I mean,

962
00:52:08,080 --> 00:52:09,600
Speaker 1: I'm not saying like, you know, there there are people

963
00:52:09,600 --> 00:52:11,560
Speaker 1: who need your money, right, but like you know that

964
00:52:11,680 --> 00:52:14,080
Speaker 1: that's not going to actually solve this. Like one of

965
00:52:14,120 --> 00:52:16,680
Speaker 1: the common ones is like order from Chinese restaurants, and

966
00:52:16,719 --> 00:52:20,239
Speaker 1: it's like, Okay, that's not that's that's not gonna right.

967
00:52:20,840 --> 00:52:25,640
Speaker 1: You know, I would argue there's some of the street violence.

968
00:52:25,800 --> 00:52:29,320
Speaker 1: You know, there were solutions that were easier back in

969
00:52:29,520 --> 00:52:32,799
Speaker 1: like February of last year, right, things could have been

970
00:52:32,880 --> 00:52:35,839
Speaker 1: you know, if people had just like like whenever someone

971
00:52:35,920 --> 00:52:37,719
Speaker 1: on Fox News talk about a bat or like the

972
00:52:37,800 --> 00:52:41,880
Speaker 1: Wuhan people had just like destroyed buried Tucker Carlson's career

973
00:52:42,200 --> 00:52:45,960
Speaker 1: for it, right, Like if people had like, yeah, you know,

974
00:52:46,280 --> 00:52:51,280
Speaker 1: but but now now that like this this is probably

975
00:52:51,320 --> 00:52:56,480
Speaker 1: going to continue for a while, and you know, I

976
00:52:56,560 --> 00:52:58,319
Speaker 1: mean I can say that there have been a few

977
00:52:58,840 --> 00:53:01,799
Speaker 1: sort of inspiring things that are grim in their own ways,

978
00:53:01,960 --> 00:53:06,360
Speaker 1: where you know, people have been being attacked and like

979
00:53:06,480 --> 00:53:08,440
Speaker 1: whole communities have gotten together to like show up to

980
00:53:08,480 --> 00:53:11,840
Speaker 1: defend their houses, right, and that kind of like the

981
00:53:11,960 --> 00:53:15,400
Speaker 1: the only actual way out of this. And this is

982
00:53:15,440 --> 00:53:17,680
Speaker 1: also something that the Asian the Asian American community has

983
00:53:17,719 --> 00:53:21,680
Speaker 1: to do, which is incredibly grim. But you know, we

984
00:53:21,960 --> 00:53:26,080
Speaker 1: have to actually organize ourselves. And we have to I mean,

985
00:53:26,320 --> 00:53:27,960
Speaker 1: you know, when when I say organizing our communities, we

986
00:53:28,000 --> 00:53:30,680
Speaker 1: have to organize every one of our communities, right. And

987
00:53:31,800 --> 00:53:37,120
Speaker 1: and you know, this is what's hard about it because

988
00:53:37,160 --> 00:53:42,919
Speaker 1: a lot of the stuff that needs to be done

989
00:53:47,520 --> 00:53:49,600
Speaker 1: sort of well, it's a lot of it. You know,

990
00:53:49,680 --> 00:53:52,160
Speaker 1: if you want to deal with like police violence, right,

991
00:53:52,200 --> 00:53:55,280
Speaker 1: like police violin tunization Americans, which is a very serious problem,

992
00:53:56,080 --> 00:53:59,279
Speaker 1: you know that that that that requires actual structural change

993
00:53:59,320 --> 00:54:00,520
Speaker 1: in a way that you can just sort of snap

994
00:54:00,640 --> 00:54:03,200
Speaker 1: your fingers and do, like you know, like the like

995
00:54:03,239 --> 00:54:05,160
Speaker 1: the best you can do on that front is do

996
00:54:05,280 --> 00:54:09,120
Speaker 1: what happened over the summer again, But even that didn't happen,

997
00:54:09,160 --> 00:54:11,279
Speaker 1: So I guess I guess really what I'm getting at

998
00:54:11,400 --> 00:54:15,200
Speaker 1: is there's no easy solutions to this were like, it's

999
00:54:15,239 --> 00:54:21,160
Speaker 1: probably going to involve things like like finding out who

1000
00:54:21,239 --> 00:54:24,000
Speaker 1: in your local community actually needs help and you know,

1001
00:54:24,680 --> 00:54:29,600
Speaker 1: ask like doing escorts for like adaly Asian American people. Um,

1002
00:54:30,840 --> 00:54:34,279
Speaker 1: it's it's it's it's gonna mean, it's gonna mean having

1003
00:54:35,120 --> 00:54:37,120
Speaker 1: you know, doing doing mutual aid is going to mean

1004
00:54:37,400 --> 00:54:42,399
Speaker 1: having response networks that are independent of the state because again,

1005
00:54:42,440 --> 00:54:44,279
Speaker 1: and I kind of emphasize this enough, the police don't

1006
00:54:44,320 --> 00:54:48,560
Speaker 1: care or you know, it's best when they don't care,

1007
00:54:48,680 --> 00:54:53,719
Speaker 1: because most of the time they just make everything worse. Yeah. Yeah,

1008
00:54:53,800 --> 00:54:56,319
Speaker 1: And I know that's not like the answers people are

1009
00:54:56,360 --> 00:55:00,719
Speaker 1: looking for, but well it's something though, but and it's

1010
00:55:00,800 --> 00:55:09,840
Speaker 1: the answer. And I'll just say, for my part, I feel, uh,

1011
00:55:11,440 --> 00:55:14,080
Speaker 1: thank you for this conversation, thank you so much, because

1012
00:55:14,080 --> 00:55:16,839
Speaker 1: I know that this is a lot of responsibility. You're

1013
00:55:16,840 --> 00:55:19,319
Speaker 1: talking to a bunch of white people about stuff. It's

1014
00:55:19,400 --> 00:55:24,040
Speaker 1: very personal. We're learning and I feel really acutely aware

1015
00:55:24,080 --> 00:55:26,560
Speaker 1: of that and that I need. I want to be

1016
00:55:26,680 --> 00:55:29,960
Speaker 1: doing better on my part, to be doing my research

1017
00:55:30,360 --> 00:55:33,480
Speaker 1: on my own independently, and I encourage all of our

1018
00:55:33,560 --> 00:55:36,239
Speaker 1: listeners to be doing that, to be including this perspective

1019
00:55:36,440 --> 00:55:41,480
Speaker 1: in our anti racist work, because it's all connected. And

1020
00:55:41,920 --> 00:55:45,920
Speaker 1: I think that for a long time, like why doesn't

1021
00:55:45,960 --> 00:55:50,479
Speaker 1: this stuff break the surface? Well, you know, we don't.

1022
00:55:50,560 --> 00:55:52,879
Speaker 1: We haven't considered I mean, like I know that there's

1023
00:55:52,920 --> 00:55:56,720
Speaker 1: been anti Asian racism and violence and all this stuff

1024
00:55:56,719 --> 00:56:00,880
Speaker 1: for a long time. But you know, as we're talking

1025
00:56:00,960 --> 00:56:04,600
Speaker 1: about all of these race conversations, this just has to

1026
00:56:04,680 --> 00:56:07,879
Speaker 1: be a forefront, especially right now. UM. So I really

1027
00:56:07,960 --> 00:56:11,919
Speaker 1: do appreciate your time chatting with us about it. Um yeah,

1028
00:56:12,640 --> 00:56:14,440
Speaker 1: and thank you, thank thank you for thank you for

1029
00:56:14,520 --> 00:56:17,239
Speaker 1: giving me a place to speak about this. It's you know,

1030
00:56:17,560 --> 00:56:20,280
Speaker 1: one of the things that was the most isolating, especially

1031
00:56:20,360 --> 00:56:25,480
Speaker 1: like in you know, February, was that you couldn't even

1032
00:56:25,600 --> 00:56:29,600
Speaker 1: talk about the racism because anytime you tried, everyone immediately

1033
00:56:29,680 --> 00:56:32,200
Speaker 1: pulled out a loyalty testiom was like are you pro RANTICCP?

1034
00:56:32,320 --> 00:56:34,920
Speaker 1: And it was like that, no, like we're getting killed,

1035
00:56:35,080 --> 00:56:39,439
Speaker 1: Like please stop this. And I'm you know, as grim

1036
00:56:39,480 --> 00:56:41,920
Speaker 1: as everything else is, I'm glad we're finally getting to

1037
00:56:41,960 --> 00:56:47,280
Speaker 1: a place where you know, we we we can actually

1038
00:56:47,320 --> 00:56:50,320
Speaker 1: talk about this in a way that's not sort of

1039
00:56:51,480 --> 00:56:53,319
Speaker 1: you know that that in a way that's actually about

1040
00:56:53,320 --> 00:56:57,759
Speaker 1: Asian Americans and not about sort of whatever we're geopolitical

1041
00:56:57,800 --> 00:57:00,239
Speaker 1: alignment stuff sort of going on in the back rounds.

1042
00:57:00,719 --> 00:57:08,120
Speaker 1: Absolutely well, thank you. Um, I wish I wish there

1043
00:57:08,239 --> 00:57:12,040
Speaker 1: was like I don't know, something upbeat. Well, we'll figure

1044
00:57:12,080 --> 00:57:14,719
Speaker 1: out an upbeat. An upbeat you can. I can tell

1045
00:57:14,840 --> 00:57:19,360
Speaker 1: one story that was upbeat, like very okay. So it's

1046
00:57:19,440 --> 00:57:23,400
Speaker 1: it's in the eighteenies. All of organized labor absolutely hates

1047
00:57:23,520 --> 00:57:27,280
Speaker 1: Chinese people, like just despises them. Um. But by time

1048
00:57:27,320 --> 00:57:32,160
Speaker 1: at there is one group, exactly one union who will

1049
00:57:32,200 --> 00:57:35,200
Speaker 1: actually who will organize Chinese workers, and is the Industrial

1050
00:57:35,280 --> 00:57:38,760
Speaker 1: Workers of the World Wobblies. Yeah, they're the only ones.

1051
00:57:38,880 --> 00:57:41,640
Speaker 1: Everyone else is just like scutines people. But the Wobblies

1052
00:57:41,720 --> 00:57:45,480
Speaker 1: and the Wamblies are interesting because they they'll they're there again,

1053
00:57:45,520 --> 00:57:48,520
Speaker 1: you know, they're they're the only union who genuinely believes in,

1054
00:57:48,720 --> 00:57:51,640
Speaker 1: you know, like the principles of the working class, the

1055
00:57:51,680 --> 00:57:53,840
Speaker 1: principles of things like Workers of the World unite like

1056
00:57:53,920 --> 00:57:56,800
Speaker 1: they you know, so they organized white workers, organized black workers,

1057
00:57:56,880 --> 00:57:59,360
Speaker 1: they organize a lot of Mexican workers at the point

1058
00:57:59,400 --> 00:58:02,640
Speaker 1: where like you know, there they briefly take over like

1059
00:58:02,880 --> 00:58:07,120
Speaker 1: a bunch of cities in Texas and in like northern

1060
00:58:07,240 --> 00:58:10,520
Speaker 1: northern Mexico at the beginning of mex And Revolution, and

1061
00:58:10,760 --> 00:58:13,840
Speaker 1: you know that that sort of like that that kind

1062
00:58:13,920 --> 00:58:16,440
Speaker 1: of stuff that you know, that that kind of politics

1063
00:58:17,120 --> 00:58:21,160
Speaker 1: of sort of really radical unionism with direct democracy of

1064
00:58:21,640 --> 00:58:27,720
Speaker 1: you know, interracial organizing. That was scary enough that the

1065
00:58:27,920 --> 00:58:32,360
Speaker 1: US just turned its giant to radicate or cannon on.

1066
00:58:32,480 --> 00:58:34,840
Speaker 1: It was like, we need to destroy these people. M hm.

1067
00:58:35,800 --> 00:58:39,480
Speaker 1: You know, yeah, you know, you know eventually they do this. Yeah,

1068
00:58:39,520 --> 00:58:43,040
Speaker 1: but like you know, the IWW gets credit for they're

1069
00:58:43,080 --> 00:58:46,000
Speaker 1: the only people who even tried. And you know, if

1070
00:58:46,040 --> 00:58:47,680
Speaker 1: if if there if there have been more people now,

1071
00:58:47,840 --> 00:58:50,000
Speaker 1: if there're more people then who who had been wobblies,

1072
00:58:50,000 --> 00:58:52,400
Speaker 1: who had been you know, willing to do that kind

1073
00:58:52,440 --> 00:58:56,480
Speaker 1: of work, like we wouldn't be in this mess. But

1074
00:58:56,600 --> 00:58:58,840
Speaker 1: you know, it is like this kind of solidity is

1075
00:58:58,880 --> 00:59:02,520
Speaker 1: something that's possible to build. It's just extremely difficult. It

1076
00:59:02,600 --> 00:59:05,800
Speaker 1: requires you know a lot of community organizing, a lot

1077
00:59:05,880 --> 00:59:10,000
Speaker 1: of people, a lot of people pulling out shares from

1078
00:59:10,040 --> 00:59:14,600
Speaker 1: meetings and writing lists and stuff like. Yeah, a lot

1079
00:59:14,640 --> 00:59:22,320
Speaker 1: of grim doll painful work. Positive out there, do some

1080
00:59:22,440 --> 00:59:28,320
Speaker 1: grim doll painful work um and uh, I don't know.

1081
00:59:29,840 --> 00:59:32,160
Speaker 1: I think in general we can sign these episodes off

1082
00:59:32,240 --> 00:59:38,640
Speaker 1: by saying the cops, Um, well yeah, discussing most social issues.

1083
00:59:39,000 --> 00:59:41,640
Speaker 1: Tell people where they can find you online. One more time.

1084
00:59:41,880 --> 00:59:45,480
Speaker 1: Yeah yeah, so I'm my ad is at me c

1085
00:59:45,720 --> 00:59:49,080
Speaker 1: HR three. But it's also it's just ice must be destroyed. Yeah.

1086
00:59:50,640 --> 00:59:52,720
Speaker 1: I have a substect that I write on sometimes. It's

1087
00:59:52,720 --> 00:59:56,240
Speaker 1: called a Long twenty one century. And I also do

1088
00:59:56,360 --> 00:59:59,240
Speaker 1: I want to thank my friend Jack for helping with this. Jack.

1089
00:59:59,320 --> 01:00:02,240
Speaker 1: You know who you are. You're great. Thank you, Thank

1090
01:00:02,280 --> 01:00:07,120
Speaker 1: you Jack, Jack, Thank you Jack. All Right, that's gonna

1091
01:00:07,280 --> 01:00:11,400
Speaker 1: bring us to an end for this episode. Um so please,

1092
01:00:12,880 --> 01:00:15,840
Speaker 1: I don't know, think about think about some ship. Just

1093
01:00:16,440 --> 01:00:25,200
Speaker 1: keep thinking about ship, doing things too, everything everything, So

1094
01:00:29,000 --> 01:00:33,360
Speaker 1: I tried. Worst Year Ever is a production of I

1095
01:00:33,480 --> 01:00:36,360
Speaker 1: Heart Radio. For more podcasts from my heart Radio, visit

1096
01:00:36,400 --> 01:00:39,200
Speaker 1: the I heart Radio app, Apple Podcasts, or wherever you

1097
01:00:39,280 --> 01:00:40,480
Speaker 1: listen to your favorite shows.