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Speaker 1: Hey, everybody, Robert Evans here, and I wanted to let

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Speaker 1: you know this is a compilation episode. So every episode

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Speaker 1: of the week that just happened is here in one

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Speaker 1: convenient and with somewhat less ads package for you to

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Speaker 1: listen to in a long stretch if you want. If

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Speaker 1: you've been listening to the episodes every day this week,

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Speaker 1: there's gonna be nothing new here for you, but you

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Speaker 1: can make your own decisions. Sacred twenty three extremely extremely exciting.

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Speaker 1: It's finally, finally two thousand twenty three. That means only

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Speaker 1: funny things can happen this year. That's your intro to

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Speaker 1: the That's right. Welcome, Welcome to Christ, buddy. I want

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Speaker 1: to hear any criticism welcome to happen here? Well, I

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Speaker 1: don't know if I'm gonna say they're welcome, but it

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Speaker 1: is good, good work. Enjoy your year of discord um

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Speaker 1: as if any year of the last, like ten, has

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Speaker 1: not been a year every every year previously was totally

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Speaker 1: normal and not chaotic. Downhill from here. First off, welcome,

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Speaker 1: welcome back. We we love some of you. Probably presumably

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Speaker 1: I haven't met you any of the ones that I love,

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Speaker 1: but I assume that you're out there, how's everybody doing?

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Speaker 1: How's everyone's New year? Absolute slap in the face to

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Speaker 1: anyone you've met on any of your live events. That's

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Speaker 1: a fair so nice to meet you. Thank you for

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Speaker 1: coming in person. Also, fuck you that this whole episode

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Speaker 1: is a series of slaps to the face, because it's

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Speaker 1: not for us. We're lying. We're all lying to them.

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Speaker 1: Who knows if we make it that far today we're

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Speaker 1: recording this on December two? And what is it? What

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Speaker 1: has happened today? Friends? Also? Who are you? Who was

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Speaker 1: on this episode? Garrison's here? As I've already spoken into

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Speaker 1: the microphone. Who else has spoken into the microphone? Sreen?

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Speaker 1: Question Mark? Now you have Sophie? Sophie? Yeah, James? Oh?

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Speaker 1: Any one left? Oh? No, Mia, I don't. I don't

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Speaker 1: think I've actually spoken into this episode yet. So now

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Speaker 1: I have. You've started the day? Didn't So that's how

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Speaker 1: you introduced a post. Incredibly awkward. It was perfect, magnificent,

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Speaker 1: as if we had never done a podcast. But before

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Speaker 1: we get to this, to some of the que days

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Speaker 1: of what has happened today when we're recording it? Oh, well,

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Speaker 1: today is the day? Is the one day anniversary? Of

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Speaker 1: me showing Garrison. The movie Strange Days written by James Cameron.

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Speaker 1: Um a New Year's classic. Such a good movie. Not

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Speaker 1: seen it? Oh you gotta you gotta watch it? It

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Speaker 1: is Robert got alert on his phone. That was just

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Speaker 1: like Memory is one year, a lot of day one day,

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Speaker 1: a lot of violence against the l A p D

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Speaker 1: in that film. Today, that's what's happened has happened? Yeah,

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Speaker 1: definitely not a pro l a p D movie. Also,

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Speaker 1: you you get to repeatedly see a couple of now

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Speaker 1: prominent actors, oh faces um, which is which is great

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Speaker 1: in a slightly problematic context, deeply problematic context, but a

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Speaker 1: good movie anyway. What actors are in this movie? What's his?

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Speaker 1: What's his? Ralph Find? Yeah, Ralph find is the main character,

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Speaker 1: and he looks exactly like ten years ago Bradley Cooper.

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Speaker 1: Bradley Cooper in this movie. So don't insult Ralph. Don't

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Speaker 1: do that. They both that's what? Okay, Well that's Crol

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Speaker 1: he's great. And Angela Bassett is fucking incredible in it. Queen. Yeah.

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Speaker 1: Tom Sizemore is present in the movie. Alright, Well, my

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Speaker 1: favorite is Vincent din Afrio. Looks exactly like Tim Heidecker's character,

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Speaker 1: and that I think you should leave sketch where they're

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Speaker 1: at the UFO themed restaurant. It's it's uncanny, um, know

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Speaker 1: that you're still doing uh. I think you should leave

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Speaker 1: references in the Lord's act. I showed my family before

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Speaker 1: before they left to go see other family for Christmas.

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Speaker 1: I sat, I set my family down to watch the

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Speaker 1: second half of season two and magnificent. Yeah, it's designed.

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Speaker 1: And that that leads into my only prediction for the

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Speaker 1: next year, which is, oh, God, come on, all right,

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Speaker 1: who's what's the first question? Then? Well, so the bitches

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Speaker 1: want to know, Um, in an alternate universe where it

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Speaker 1: could happen here, has a corporate office, does the staff

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Speaker 1: get a Robert Evans book for holiday presence or a

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Speaker 1: gift card? And we can we can actually answer this

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Speaker 1: because despite not having a corporate office, there's still there

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Speaker 1: still was a holiday gift which I have not actually

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Speaker 1: received mine yet, so I can't say what mine is,

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Speaker 1: but I know other people have received There's I don't know, Sophie,

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Speaker 1: I ordered yours for well, well, Sophie, you know, sometimes

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Speaker 1: it would be like that. Tracking Its probably gonna be yes,

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Speaker 1: so if you're about to ruin some ups drives day?

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Speaker 1: But what did what did everyone else receive for their

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Speaker 1: will be delivered by pm? Today? Out for today? There

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Speaker 1: there you go. It's okay, Garrison. I didn't get shipped either.

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Speaker 1: Oh oh, did buy you something that hasn't come yet? Devastatingly?

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Speaker 1: What did? What did? What did everyone else get for

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Speaker 1: for their holiday? Was it a Robert Evans book? No,

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Speaker 1: it wasn't. God, oh my god, imagine you're that fucked up,

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Speaker 1: that unhanged that you're like I should by The second

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Speaker 1: job I ever had, which was our third job, I guess,

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Speaker 1: which was working for this accountant guy that's like like that.

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Speaker 1: He was like right, He was a retirement like an

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Speaker 1: advisor guy. He would help old people get their money

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Speaker 1: in order to retire. It was mostly like helping him

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Speaker 1: host events at like a Texas roadhouse where we would

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Speaker 1: try to get old people to buy annuities. But um,

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Speaker 1: so I worked for this guy. In the day I

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Speaker 1: started the job, he gave me a copy of his

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Speaker 1: self published novel Operation night Watch, which was about a

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Speaker 1: group of Navy seals going rogue to stop drug dealers

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Speaker 1: and is one of the worst things I've ever read

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Speaker 1: read it. I mean I attempted to someone when I

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Speaker 1: mentioned did it once on the show. Somebody found and

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Speaker 1: bought a copy and give that money to someone else. Oh,

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Speaker 1: he can't be alive anymore. There's no way he said

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Speaker 1: it was. It was probably all eBay or something. Yeah, yeah,

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Speaker 1: yeah that that man has been dead for years. I'm

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Speaker 1: sure we still we still have ant, we still have

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Speaker 1: answer here. We've got tiny cans mace to to a

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Speaker 1: little personal maces on for the left hand one for

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Speaker 1: the right hand wield. I really like it. It's very compact.

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Speaker 1: New pepper spray has been on my tabiles for like

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Speaker 1: months because mine was expired like a year ago. But

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Speaker 1: I've never actually bought in one, and so it was

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Speaker 1: perfect and that was just so tiny. I can put

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Speaker 1: it in like my Fannie pack and just continue on

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Speaker 1: my days. How do you know it won't work if

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Speaker 1: it's expired. I just poked it up. I looked it

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Speaker 1: up and I was just like, I don't want to like,

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Speaker 1: I don't know, I just it was on my tables.

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Speaker 1: I obviously didn't buy it, and it wasn't like you

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Speaker 1: don't want to hurt somebody with expired pepper spray. It's

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Speaker 1: a propellant that expires. Yeah, can itself gets like make yourself? Yeah,

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Speaker 1: got it? Yeah, yeah, well there you go, there you go. Um,

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Speaker 1: let's see, so we're going to be going through some

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Speaker 1: of the questions that we got for the previous Sorry,

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Speaker 1: my cats are making as I do like a that.

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Speaker 1: But that person really thought that. Robert was that person

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Speaker 1: that was like, hey, happy holidays, here's my book. I

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Speaker 1: do get the royalties. You're welcome. We should we should

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Speaker 1: use the corporate cards to buy more copies of my book.

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Speaker 1: That's a good idea. Before we could just ship them

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Speaker 1: to the sea. Though it doesn't matter where they go.

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Speaker 1: For the next question, and we're using the questions from

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Speaker 1: the previous it could happen in your livestream for this,

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Speaker 1: by the way, So if we didn't get to your question,

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Speaker 1: we're getting to some more of them right now. Unless

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Speaker 1: your questions sucked, Yeah, yeah, very personal. Yes, that's that's

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Speaker 1: that's what I meant by sucked. So do you know

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Speaker 1: of a way to get involved in mutual aid without

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Speaker 1: using social media? I don't really use it for mental

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Speaker 1: health reasons. Good decision there to not use social media.

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Speaker 1: Social media yea. Um, a lot of mutual aid organizing

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Speaker 1: or you know, like requests happen on social media. UM.

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Speaker 1: But I mean there's I guess it depends on how

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Speaker 1: you use social media. I suppose like it might be

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Speaker 1: useful to have a friend that follows some of the

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Speaker 1: some of the social media stuff in your local area,

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Speaker 1: whether that be on Twitter or mastered on or Instagram. Um,

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Speaker 1: and then you can like relay relate to you if

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Speaker 1: there's local events um, or you can just like section

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Speaker 1: off like once a week you check on just a

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Speaker 1: few of those things, and then you then you delete

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Speaker 1: the app from from your phone again. UM. Because once

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Speaker 1: you are like plugged into a local community, then people

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Speaker 1: can just like directly send you flyers and stuff. UM.

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Speaker 1: But you have to have those connections there in the

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Speaker 1: first is. And those connections are really best made by

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Speaker 1: going to things on the ground, whether it be you know,

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Speaker 1: a food not bombs type thing, whether it be you know,

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Speaker 1: like a clothing swap. Um. Lots of local events do

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Speaker 1: happen in in in people's cities, and once you actually

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Speaker 1: go there in person, that's where real community actually gets built.

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Speaker 1: So it's it's just it's just it's kind of just

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Speaker 1: breaking the ice to actually get to actually go to

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Speaker 1: a few in person things and then and then people

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Speaker 1: can send you, you know, direct fires and stuff. If

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Speaker 1: you don't want to be doom scrolling well looking for things,

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Speaker 1: you don't have to even have an account if you

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Speaker 1: don't decide not to. You can like view profiles on

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Speaker 1: Twitter and Instagram without an account. That you can't like

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Speaker 1: see the comments or whatever. But if you just want

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Speaker 1: to see their profile every once in a while and

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Speaker 1: check in on what they're doing, you can do that

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Speaker 1: online with no account. Yeah, often as well, like and well,

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Speaker 1: we're doing mutulate things here. It tends to focus on

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Speaker 1: the border a lot or on the house people, and

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Speaker 1: like in both cases you can just show up and

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Speaker 1: you'll meet someone who's helping get in most instances, and

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Speaker 1: then they can direct you and they can text you

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Speaker 1: or signal you whatever. Like, there were tons of people

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Speaker 1: when the migrant caravan arrived who were like much older,

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Speaker 1: not on social media, often with church groups, and they

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Speaker 1: didn't hugely like have um I would say, a lot

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Speaker 1: of experience in that kind of area, but they deeply

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Speaker 1: wanted to help and they showed up and people were like, hey,

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Speaker 1: can you go to costco and get this and they

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Speaker 1: want to Yeah, absolutely, and yeah and we use what's happened?

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Speaker 1: It was fine, and like check around. Another option to

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Speaker 1: be obviously if if you if you have like like

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Speaker 1: a radical meeting space in your city, you can check their. Um.

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Speaker 1: If you don't have those, you can even check see

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Speaker 1: if there's any like radical coffee shops or cafes that

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Speaker 1: maybe have like a bulletin board. People will often put

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Speaker 1: up flyers for stuff there. Um, just you really have

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Speaker 1: to do start start trying to be like plugged into

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Speaker 1: your actual like I r L local community and that's

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Speaker 1: generally how that goes. Um, you have to be more

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Speaker 1: proactive than if you had social media is the main thing.

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Speaker 1: You still have to show up either way, right, Like yeah,

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Speaker 1: and do you know who else wants you to show

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Speaker 1: up online? Robert Evans, I don't these products and services

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Speaker 1: that want you to. We're now exclusively only sponsored by

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Speaker 1: Robert's books. Yes, and here's an excerpt. All right, and

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Speaker 1: we're back speaking of the Internet. Robert or anyone I suppose,

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Speaker 1: do you think there's a way to get back to

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Speaker 1: fulfilling the promise of the early Internet Uh No, Um,

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Speaker 1: I don't. I think the early Internet was a thing

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Speaker 1: that happened that in part was the way that it

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Speaker 1: was because our brains did not have any kind of

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Speaker 1: tolerance or or or like we're not like prepared for it, um,

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Speaker 1: and it it kind of grew up as we became

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Speaker 1: capable of like I don't know, like the the the

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Speaker 1: Internet grew more social as we got used to it.

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Speaker 1: And I don't think that can ever happen again, like

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Speaker 1: those those weird little moments where I don't know. Yeah,

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Speaker 1: my my answer is no, I don't think it will

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Speaker 1: ever happen again, in the same way that like you're

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Speaker 1: never going to get those weird little moments that you

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Speaker 1: you had, like the birth of you know, the printing

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Speaker 1: press or whatever. Like you know, it's a unique moment

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Speaker 1: in history and it's never going to come again. Which

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Speaker 1: doesn't mean that something else won't happen. Um, But the

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Speaker 1: Internet is not Like the fact that we've all lived

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Speaker 1: through the social media area means even once all these

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Speaker 1: companies go bust, our brains have still been changed by

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Speaker 1: them too much to ever go back to posting the

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Speaker 1: way we once did. No, we're too far gone. I

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Speaker 1: think on a kind of similar note, in a few

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Speaker 1: days we have an episode from Andrew on digital commons

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Speaker 1: and this that kind of involves around this same kind

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Speaker 1: of question. So in a few days will have will

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Speaker 1: have an episode kind of about this topic ran by

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Speaker 1: Andrew Um. But James, you had you had something? Yeah,

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Speaker 1: Sometimes like obviously, like the Internet is terrible in many ways,

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Speaker 1: but like when we talk about like what happened in Myanma,

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Speaker 1: that series Robert and I did, like that seems to

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Speaker 1: me like it's delivering on some of the promises of

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Speaker 1: the early Internet. Like it's it's mad that you know,

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Speaker 1: a young person like who is facing a coup and

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Speaker 1: wants democracy in this part of Asia can go online

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Speaker 1: speak to some dude in these aren't real place like

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Speaker 1: people are spoken to about like some some guy in

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Speaker 1: his garage in Ohio who's three ly printing guns, and

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Speaker 1: that person can help the other person on themselves and

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Speaker 1: defend their right to choose who governs them or if

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Speaker 1: they're governed at all, Like that is really fucking cool,

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Speaker 1: and that doesn't happen without the Internet, And so yeah,

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Speaker 1: there's also yeah, it's it's not that there's not going

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Speaker 1: to be good things done with the Internet, or that

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Speaker 1: it can't be made better but it's never going to

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Speaker 1: be what it was. Yeah, we we simply know too much. Um,

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Speaker 1: let's see what are some inspiring recent examples of cooperation

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Speaker 1: increasing survival odds to show the type that thinks they

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Speaker 1: just need AMMO to survive. Another good touchstone with for

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Speaker 1: this would be the movie trimmers Um, which which shows unfortunately,

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Speaker 1: actually he's survival player. Nobody lives with that community unfortunately unfortunately.

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Speaker 1: I think Rabbit actually is correct here. More broadly, this

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Speaker 1: person is like and couch sleep paraphrasing kokin right, but

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Speaker 1: like we have all just lived through a pandemic and

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Speaker 1: me are stilling through a pandemic I guess which has

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Speaker 1: changed the world killed hundreds of thousands, millions of people.

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Speaker 1: And like the reason a lot of people got through that,

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Speaker 1: A lot of people who didn't weren't able to work

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Speaker 1: or were immuno compromised, you can got as much is

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Speaker 1: because other people helped them. Like no one shot COVID

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Speaker 1: and no one fed themselves in the lockdown because they

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Speaker 1: had tons of five five six talked away like a

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Speaker 1: ton of mutual aide. Happened a lot of a terrible

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Speaker 1: ship happened as well, but that's a bigger example. I think,

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Speaker 1: mm hmm, what genres of music have each of you

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Speaker 1: been listening to lately? M I'm a big classical head.

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Speaker 1: I don't care if it's like I. I also listened

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Speaker 1: to a lot of classical the best. When you're driving,

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Speaker 1: everything becomes like cinematic and it's calming, and sometimes words

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Speaker 1: distract me. So my go too is classical to what

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Speaker 1: I would consider classical music, which is second and third

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Speaker 1: wave SCAH basic basically the only classical music in my opinion.

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Speaker 1: I listened to the Clash Suade and the Manics, Ree

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Speaker 1: Preacher is more or less exclusively. Yeah, they're the only

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Speaker 1: bands that matter. Yeah, I think if it's not classical,

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Speaker 1: I'm trying to like the I don't know, I'm like

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Speaker 1: dancing around. So it's either like it's like two extremes

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Speaker 1: for me, either classical and I'm like chill, going to sleep,

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Speaker 1: or I'm getting ready and I want to feel something.

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Speaker 1: What about you, man? I have the most absolutely dogship

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Speaker 1: music case Brave, but the music that I listened to

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Speaker 1: it I think it's legitimately good. That's not like power

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Speaker 1: metal or like weird ship is I've I've been going

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Speaker 1: back to like my Youth and my Youth is a

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Speaker 1: combination of like surf rock. I was like, this is

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Speaker 1: a safe space, like what okay, like Pat Pat Benatar

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Speaker 1: sort of like that that there's a sort of era

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Speaker 1: of like I don't know what you care like lesbian

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Speaker 1: glam rock, I don't know yourself. This is a safe space.

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Speaker 1: You keep saying that. I don't think we ever agreed

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Speaker 1: to this. I usually listened to a lot of music, well,

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Speaker 1: writing and researching. I just finished up to two pretty

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Speaker 1: big writing projects. I've been listening to a lot of music. Um,

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Speaker 1: most of it's like ambient electronica. Uh, some classicals thrown

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Speaker 1: in there if I need to get a little bit

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Speaker 1: more like energy, but listening to some Trent Resiner kind

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Speaker 1: of ambient stuff, um and like a lot of I

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Speaker 1: also listened to a lot of remixes of the Mario

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Speaker 1: Galaxy soundtrack. Okay, okay, s O, I like that. Wait, okay, okay, okay,

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Speaker 1: all right, I need to I need I need to

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Speaker 1: plug a truly awful song. Don't no, no, no no,

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Speaker 1: we got it. Okay, look, Donkey Kong has to slam

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Speaker 1: this way, it has to be this way, X space

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Speaker 1: Jam x d k Rap. I need I need to

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Speaker 1: know that this exists, is there's there's is incredible. It

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Speaker 1: is another worldly experience that's also a version of it.

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Speaker 1: That's also what mean angel? Okay, I think this Garrison.

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Speaker 1: Do you listen to Max Richter? I think he was

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Speaker 1: like Max Richter, He's like he has a lot of

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Speaker 1: soundtracks for shows, so his stuff is kind of like

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Speaker 1: melancholic and piano ee, but I think you might like it.

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Speaker 1: I will look him up. Good name, Yeah it spelt Richer. Yeah, okay, great, Yeah,

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Speaker 1: you should also listen to the Mighty Mighty Boss Towns,

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Speaker 1: who did a wonderful album. No, No, don't don't speak

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Speaker 1: out The album That George Floyd song is incredibly appropriate,

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Speaker 1: deeply appropriate. Yet speak of listening to things, speaking speaking

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Speaker 1: of things that are problems? What is what is the

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Speaker 1: most troubling thing that isn't being reported on or isn't

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Speaker 1: taken seriously by the wider public. The fact that none

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Speaker 1: of you said you listened to any rap music or

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Speaker 1: any type of music that wasn't just I thought Tupac

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Speaker 1: wasn't given Okay, Okay, trachical question I listened to. I

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Speaker 1: listened to a little bit of Biggie every now and again,

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Speaker 1: and I got my most deaf always loaded up, especially

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Speaker 1: around the new Year. I love listening to Life and

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Speaker 1: Marvelous Times Sides as a hell of an album. I've

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Speaker 1: always been more Biggie. There's a guy code and Christian

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Speaker 1: Parish takes a gun. He rapped by Superman. He's like

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Speaker 1: from the Coronation. I think it. Stuff is cool. The

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Speaker 1: most troubling thing that isn't that isn't being reported on

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Speaker 1: are taken seriously enough by the wider public besides our

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Speaker 1: musical tastes. Well, I'm going to be and always say

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Speaker 1: like at least your news and Palestine and like cair

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Speaker 1: and balance reporting and even like Syria and uh, Yemen

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Speaker 1: and all of that stuff, I think none of that

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Speaker 1: gets enough attention. Absolutely, I'm gonna say, fucking scams um Like,

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Speaker 1: just on a daily basis, I feel like my phone

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Speaker 1: gets uh six to eight scam calls scam calls at least,

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Speaker 1: and like it's uh And And someone was making a

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Speaker 1: note of this earlier because like a bunch of scams

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Speaker 1: stories have been people have been sharing them. This year.

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Speaker 1: But like there's all sorts of fucked up things like

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Speaker 1: if a relative gets arrested as soon as the police

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Speaker 1: post um the like the they're the fact that like

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Speaker 1: like publicly posted they've been arrested, like the family if

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Speaker 1: they have numbers that scammers can find, will start getting

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Speaker 1: auto dialed by like accounts claiming to be the police

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Speaker 1: saying that, like you need to put money in their account.

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Speaker 1: Now where they're going into general population and it's all

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Speaker 1: these are all like low hanging fruit things like they're

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Speaker 1: they're they're not They're targeting people who are not very

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Speaker 1: savvy UM often people who have some sort of like

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Speaker 1: mental disability, right, so folks who are kind of living

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Speaker 1: a marginal existence in a lot of ways as it

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Speaker 1: is UM and they are like it. It's making it

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Speaker 1: incredibly difficult for and and folks who have like are

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Speaker 1: cognitively impaired for whatever reason, including the fact that they're

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Speaker 1: they're elderly. There's just like this. It's never been like

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Speaker 1: this before, the sheer density of scams that people have

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Speaker 1: to wade through. And again, most of you, we've all

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Speaker 1: kind of noticed it getting more common, but you may

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Speaker 1: not have noticed how kind of brutal. It's gotten because

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Speaker 1: you're not the target demographic for this stuff, right, That's

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Speaker 1: why they all have like filters in them to try

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Speaker 1: and weed out the people who are savvy enough to

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Speaker 1: know that they're being scammed. But it's there's a number

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Speaker 1: of things. This is the result of decisions that the

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Speaker 1: the FTC made, um like like in order to like

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Speaker 1: make it a lot easier for people to use ship

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Speaker 1: like auto dialers and to carry out like phone based scams.

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Speaker 1: But it's it's just been punt on by every presidential

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Speaker 1: administration in our lifetime. As the Internet has made it

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Speaker 1: easier to automate this stuff, and the the explosion of

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Speaker 1: machine learning tools that are widely available, these kind of

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Speaker 1: AI s that people are joking about right now, like

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Speaker 1: it's all going to create the capacity to more effectively

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Speaker 1: automate scams. I had one that could have gotten me

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Speaker 1: the other day where I got a call from my

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Speaker 1: bank that was listed as from my bank is and

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Speaker 1: like on it like it was my bank's phone number,

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Speaker 1: like it was. It came up as them on the

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Speaker 1: and they were like, hey, you know, someone has there's

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Speaker 1: some some charges. Can we run them by you? We

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Speaker 1: want to make sure, and they were like charge things

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Speaker 1: I had not bought. They were like wire transfers and

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Speaker 1: ship and they're like, oh, it looks like, you know,

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Speaker 1: somebody's gotten access to your account. And the call dropped

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Speaker 1: before I could finish it, so I called them back,

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Speaker 1: and when I called my bank back, they were like, oh, yeah,

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Speaker 1: that was someone spoofing our number. They were trying to

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Speaker 1: get personal information out of you. Um, this ship is

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Speaker 1: so fucking endemic and no one is doing a goddamn

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Speaker 1: thing about it. There's like one anemic attempt in Congress

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Speaker 1: to slightly address it, primarily through like education, but it

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Speaker 1: is a massive problem. It's part of what's breaking society,

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Speaker 1: the fact that like everyone is constantly flooded by this

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Speaker 1: low level cloud of people trying to destroy their financial lives. Um,

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Speaker 1: it's it's real bad. Do you know what else is

404
00:24:24,960 --> 00:24:28,480
Speaker 1: trying to destroy your financial lives? The products and services

405
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Speaker 1: that support this podcast, Garrison and Robert's books, and we

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Speaker 1: are back for one final time for this episode. This

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Speaker 1: is this is actually a question that I feel is

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Speaker 1: pretty important that I wish people thought about a bit more,

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Speaker 1: at least within like, you know, our our general sphere

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Speaker 1: where do you draw the line between fascist politics and

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Speaker 1: non fascist conservative politics. Well, at the moment in the

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Speaker 1: United States, I don't think there's a line to be

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Speaker 1: drawn because the mainstream of the Republican Party has completely

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Speaker 1: thrown themselves in behind one of or both of two fascists. Um.

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Speaker 1: In terms of like personally, I guess it depends on

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Speaker 1: whether or not people support their being like things like

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Speaker 1: penalties on on on it do people like does somebody

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Speaker 1: support banning books to somebody support arresting folks for expressing

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Speaker 1: political opinions that differ from there's does somebody support, um,

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Speaker 1: you know, expanding the penalties for petty crimes to include

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Speaker 1: like violence, Like those are all things that can suggest

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Speaker 1: that somebody is a fascist. But at the end of

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Speaker 1: the day, anybody who supports the Republican Party right now

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Speaker 1: is supporting a fascist movement. So I don't feel there's

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Speaker 1: any sort of I don't draw a line in my

426
00:25:52,200 --> 00:25:56,840
Speaker 1: head anymore, to be entirely honest, because they they alighted

427
00:25:56,880 --> 00:26:01,120
Speaker 1: the line. I try to be very specific when I

428
00:26:01,160 --> 00:26:04,800
Speaker 1: say fascist versus just like a regular conservative. In my reporting,

429
00:26:04,840 --> 00:26:07,399
Speaker 1: like when we were inside Colorado, we talked to people

430
00:26:07,400 --> 00:26:12,439
Speaker 1: who were conservatives who were who were against fascists, and

431
00:26:12,520 --> 00:26:15,880
Speaker 1: I against local fascists in their community and actually doing

432
00:26:15,920 --> 00:26:19,119
Speaker 1: things to help stop fascists from gaining power within their

433
00:26:19,160 --> 00:26:22,200
Speaker 1: local community. UM. I think if you look at a

434
00:26:22,240 --> 00:26:25,160
Speaker 1: lot of the rhetoric around queer people right now, whether

435
00:26:25,200 --> 00:26:27,600
Speaker 1: it be like drag shows or trans people, that's a

436
00:26:27,640 --> 00:26:32,080
Speaker 1: specific style of rhetoric that is like innately fascist. UM

437
00:26:32,200 --> 00:26:34,680
Speaker 1: like talking about like there was there was there was

438
00:26:34,720 --> 00:26:38,840
Speaker 1: a tweet from um is his name? Like lindsay, James,

439
00:26:38,840 --> 00:26:44,560
Speaker 1: what's that? What's what's that guy? Yeahs he put out

440
00:26:44,840 --> 00:26:47,120
Speaker 1: He put out this little like meme being like, don't

441
00:26:47,119 --> 00:26:50,480
Speaker 1: call them drag queens, call them um like like it

442
00:26:50,640 --> 00:26:54,399
Speaker 1: was some some bullshit groomer thing, Like I forget the

443
00:26:54,400 --> 00:26:57,960
Speaker 1: exact thing, but like that that specific style of rhetorical

444
00:26:58,000 --> 00:27:02,440
Speaker 1: framing is is is like a pretext to extermination and

445
00:27:02,520 --> 00:27:05,760
Speaker 1: genocide like that that is what that is what they're doing,

446
00:27:06,240 --> 00:27:08,879
Speaker 1: and I think that is right now is what it

447
00:27:08,920 --> 00:27:11,840
Speaker 1: crosses the line is when when they're creating these scapegoat

448
00:27:12,560 --> 00:27:16,560
Speaker 1: groups that that are going to be targeted and posing

449
00:27:16,600 --> 00:27:20,080
Speaker 1: these groups as like a threat to civilization. UM, That's

450
00:27:20,200 --> 00:27:24,600
Speaker 1: where I kind of use that word it's like fashions

451
00:27:24,680 --> 00:27:27,920
Speaker 1: like that that is generally in in my research where

452
00:27:27,920 --> 00:27:31,720
Speaker 1: I start employing that versus you know, some random guy

453
00:27:31,720 --> 00:27:34,680
Speaker 1: who I'm talking to, who you know wants there to

454
00:27:34,720 --> 00:27:40,000
Speaker 1: be lower taxes and less regulation. Because yeah, that that position,

455
00:27:40,080 --> 00:27:43,280
Speaker 1: as we've seen now, can eventually lead to the type

456
00:27:43,320 --> 00:27:46,960
Speaker 1: of fascist policies. But I think that there is when

457
00:27:46,960 --> 00:27:49,359
Speaker 1: it comes to like people in your personal life, and

458
00:27:49,400 --> 00:27:52,160
Speaker 1: when it comes to like regular people who are not politicians.

459
00:27:52,359 --> 00:27:55,479
Speaker 1: I think having a little bit more discretion is useful

460
00:27:55,520 --> 00:27:57,320
Speaker 1: because I think there's still a chance that some people

461
00:27:57,320 --> 00:28:02,680
Speaker 1: who are currently conservative can not become fascists. Yeah, I

462
00:28:03,440 --> 00:28:06,040
Speaker 1: would agree. I think in the US context one sort

463
00:28:06,040 --> 00:28:08,760
Speaker 1: of useful litmus test for people on the right. It's like,

464
00:28:09,400 --> 00:28:11,040
Speaker 1: are the rules of the game more important than the

465
00:28:11,080 --> 00:28:14,600
Speaker 1: outcome of the game? Like, so when you look at

466
00:28:14,640 --> 00:28:17,600
Speaker 1: like the sort of fascism we saw around Donald Trump, right,

467
00:28:17,600 --> 00:28:20,280
Speaker 1: like there was a point where the outcome of the game,

468
00:28:20,960 --> 00:28:24,480
Speaker 1: the maintenance of power, right became more important than the

469
00:28:24,560 --> 00:28:27,800
Speaker 1: rules of the game. I like basic human rights, and

470
00:28:28,560 --> 00:28:31,600
Speaker 1: I think that that's a useful definitely a useful sort

471
00:28:31,640 --> 00:28:34,520
Speaker 1: of it's this person dangerous, it might like I like

472
00:28:34,600 --> 00:28:38,360
Speaker 1: Paxton's definition of fascism generally, it's not great, but it's

473
00:28:38,400 --> 00:28:42,160
Speaker 1: which has elements useful. Yeah, it's useful. And I think

474
00:28:42,400 --> 00:28:44,680
Speaker 1: your scapegoat group group one is really key. When people

475
00:28:44,680 --> 00:28:46,600
Speaker 1: a scapegroading people and they don't really give a funk

476
00:28:46,600 --> 00:28:50,640
Speaker 1: about how they eliminate those people or stop quote unquote right.

477
00:28:50,800 --> 00:28:53,480
Speaker 1: When when people are seeking to use the machinery of

478
00:28:53,560 --> 00:28:58,400
Speaker 1: state to eliminate people and ideas that they find uncomfortable

479
00:28:58,800 --> 00:29:02,680
Speaker 1: by using the force of law against them, um, they're fascists.

480
00:29:02,720 --> 00:29:08,040
Speaker 1: And when people are supportive of ending democratic like ending

481
00:29:08,040 --> 00:29:11,080
Speaker 1: the democratic transfer of power in order to support an

482
00:29:11,080 --> 00:29:15,040
Speaker 1: individual that they think embodies their conception of like what

483
00:29:15,080 --> 00:29:19,360
Speaker 1: their country is, those people are fascists. Um. And I

484
00:29:19,720 --> 00:29:22,560
Speaker 1: think that it's one thing, and I don't think it's

485
00:29:22,640 --> 00:29:26,440
Speaker 1: usually useful if you're having a conversation with an individual

486
00:29:26,520 --> 00:29:30,040
Speaker 1: to call them a fascist, even if they're behaving in

487
00:29:30,080 --> 00:29:32,240
Speaker 1: ways that are kind of fashy, if you think that

488
00:29:32,280 --> 00:29:35,960
Speaker 1: a productive conversation can be had, Um, that might move

489
00:29:35,960 --> 00:29:37,840
Speaker 1: them in one direction or the other. But at the

490
00:29:37,920 --> 00:29:41,320
Speaker 1: end of the day, if somebody is supportive, for example,

491
00:29:41,400 --> 00:29:44,760
Speaker 1: of a third term for Donald Trump, um, that person

492
00:29:44,880 --> 00:29:48,640
Speaker 1: is supporting a fascist movement, and I don't think that

493
00:29:48,720 --> 00:29:51,440
Speaker 1: there's a I don't think I don't think it matters that.

494
00:29:51,560 --> 00:29:55,680
Speaker 1: Like their individual reasons for doing it maybe less fascy

495
00:29:55,760 --> 00:29:57,600
Speaker 1: than someone else's, Like at the end of the day,

496
00:29:57,680 --> 00:30:00,760
Speaker 1: they are supporting that, and that's that's kind of what

497
00:30:00,880 --> 00:30:03,840
Speaker 1: matters to me. I think. I think it's also worth

498
00:30:04,720 --> 00:30:06,640
Speaker 1: taking a little bit of a look at what happened

499
00:30:06,640 --> 00:30:09,080
Speaker 1: to your conservatism in order to sort of understand what's

500
00:30:09,120 --> 00:30:10,920
Speaker 1: going on here, because I think there was an important

501
00:30:10,960 --> 00:30:14,120
Speaker 1: sort of fracture a in terms of the fact that

502
00:30:14,200 --> 00:30:20,560
Speaker 1: George Bush like basically orchestrated like yeah like bait bait,

503
00:30:20,880 --> 00:30:23,240
Speaker 1: Like he didn't technically create a coupe, but he like

504
00:30:23,400 --> 00:30:25,840
Speaker 1: he he he rigged an elections such as to put

505
00:30:25,880 --> 00:30:28,160
Speaker 1: it it's like, so as to put him in power, right,

506
00:30:28,200 --> 00:30:30,160
Speaker 1: Like that's what the Brookes Brothers riot was. That's what

507
00:30:30,280 --> 00:30:32,120
Speaker 1: that's that's sort of the process that gets us the

508
00:30:32,160 --> 00:30:36,120
Speaker 1: Bush wouldn't shot in two thousand's and there you know

509
00:30:36,160 --> 00:30:38,920
Speaker 1: that this is this is an interesting moment because if

510
00:30:38,920 --> 00:30:42,680
Speaker 1: you look at what happens to conservatism over the sort

511
00:30:42,680 --> 00:30:46,400
Speaker 1: of like the I don't know, the last twenty five

512
00:30:46,600 --> 00:30:50,120
Speaker 1: years of the twentieth century, there's this interesting pivot where

513
00:30:50,080 --> 00:30:52,720
Speaker 1: they make where in order to you know, if you

514
00:30:52,760 --> 00:30:55,680
Speaker 1: look at like what what is the conservative response to

515
00:30:55,680 --> 00:30:59,600
Speaker 1: communism in nineteen like thirty nine, right, it's just like

516
00:30:59,720 --> 00:31:02,160
Speaker 1: we're going to be fascists. Right, It's like literally we

517
00:31:02,200 --> 00:31:04,400
Speaker 1: are going to be the Nazis. But you know, by

518
00:31:04,520 --> 00:31:06,800
Speaker 1: by by the time you get to like post wor wartching,

519
00:31:06,800 --> 00:31:08,520
Speaker 1: and by time it gets really to like the seventies

520
00:31:09,000 --> 00:31:13,120
Speaker 1: and eighties, they start realizing that, like people don't generally

521
00:31:13,160 --> 00:31:16,520
Speaker 1: like fascism that much, and so the form of anti

522
00:31:16,520 --> 00:31:18,440
Speaker 1: communism that they take starts to be this sort of

523
00:31:18,440 --> 00:31:23,760
Speaker 1: like rights based like weird supports like freedom and human

524
00:31:23,840 --> 00:31:27,920
Speaker 1: rights and like free markets and democracy and there there

525
00:31:27,960 --> 00:31:32,480
Speaker 1: there's this point where that stuff meets with like another

526
00:31:32,600 --> 00:31:35,360
Speaker 1: kind of fascist politics, which is sort of like the

527
00:31:35,400 --> 00:31:37,640
Speaker 1: two one era state of exception stuff that happened after

528
00:31:39,040 --> 00:31:40,800
Speaker 1: where you know, like people are talking about the gloves

529
00:31:40,840 --> 00:31:42,440
Speaker 1: coming off and this is this is this is getting

530
00:31:42,440 --> 00:31:46,000
Speaker 1: into your sort of like like looking at like multa

531
00:31:46,040 --> 00:31:49,360
Speaker 1: benjam means like conception of what fascism is or my

532
00:31:49,480 --> 00:31:53,280
Speaker 1: blanking on the guy's name like Carl Schmidt's stuff right

533
00:31:53,320 --> 00:31:55,480
Speaker 1: where it's like, here is a part of the state

534
00:31:55,520 --> 00:31:57,560
Speaker 1: that can just like destroy like they have, that has

535
00:31:57,640 --> 00:31:59,440
Speaker 1: sovereign power and can just sort of trample over the

536
00:31:59,520 --> 00:32:01,560
Speaker 1: entire legal order in order to perpetuate it. Right, So

537
00:32:01,600 --> 00:32:04,480
Speaker 1: this is like, okay, suddenly after two thousand one, like

538
00:32:05,120 --> 00:32:07,400
Speaker 1: after nine eleven, they were just like people disappearing into

539
00:32:07,400 --> 00:32:11,200
Speaker 1: torture dungeons, right, and you get this moment where on

540
00:32:11,240 --> 00:32:13,160
Speaker 1: the one hand, yeah, like because Georgia w. Bush is

541
00:32:13,200 --> 00:32:14,640
Speaker 1: one of these people who's like the sort of like

542
00:32:14,640 --> 00:32:18,560
Speaker 1: freedom democracy people, but then beneath him is you know,

543
00:32:18,840 --> 00:32:23,880
Speaker 1: it collapses very quickly into this we are the torture

544
00:32:23,960 --> 00:32:27,560
Speaker 1: dungeon stuff, and this willing is literally to rig elections.

545
00:32:28,360 --> 00:32:30,280
Speaker 1: And I think that's the sort of important because like

546
00:32:30,360 --> 00:32:32,560
Speaker 1: because like there are sort of normal conservatives right who

547
00:32:32,640 --> 00:32:35,920
Speaker 1: still have that kind of like freedom and liberal democracy

548
00:32:36,200 --> 00:32:42,040
Speaker 1: whatever thing, and they're not really that fascist kind of

549
00:32:42,040 --> 00:32:43,840
Speaker 1: but in some sense it doesn't it doesn't matter that

550
00:32:43,920 --> 00:32:46,000
Speaker 1: much institutionally because the part of the Republican Party that

551
00:32:46,040 --> 00:32:49,280
Speaker 1: survived was a combination of the torture dungeon, which is

552
00:32:49,320 --> 00:32:52,880
Speaker 1: like Gina Hospital like and then Trump, who is this

553
00:32:53,000 --> 00:32:55,960
Speaker 1: the sort of emblem of this like like the sort

554
00:32:56,000 --> 00:32:57,600
Speaker 1: of sort of like we're gonna we're gonna take the election,

555
00:32:57,640 --> 00:32:59,720
Speaker 1: We're gonna take power, We're gonna use the power of

556
00:32:59,720 --> 00:33:02,240
Speaker 1: the state to just like murder everyone we don't like.

557
00:33:03,000 --> 00:33:06,080
Speaker 1: And I don't know like I think I I think

558
00:33:06,160 --> 00:33:10,479
Speaker 1: like you can find individual people who are conservatives who

559
00:33:10,520 --> 00:33:15,840
Speaker 1: I guess like art Nazis, but the the way that

560
00:33:15,920 --> 00:33:19,800
Speaker 1: neo conservatives and fragmented and the way that that kind

561
00:33:19,800 --> 00:33:22,720
Speaker 1: of state of exception politics and that politics have sort

562
00:33:22,760 --> 00:33:26,960
Speaker 1: of just like mass torture, and then also the willingness

563
00:33:27,040 --> 00:33:30,000
Speaker 1: to just steal elections like that. I don't know that

564
00:33:30,080 --> 00:33:33,360
Speaker 1: stuff I think forms is this another sort of core

565
00:33:33,520 --> 00:33:37,680
Speaker 1: fascism that's they're alongside the sort of queer extermination of

566
00:33:37,720 --> 00:33:40,680
Speaker 1: stuff and there I don't know, these things fused together

567
00:33:40,720 --> 00:33:44,960
Speaker 1: in ways. And Yeah, I've rambled for long enough. We're

568
00:33:45,000 --> 00:33:47,840
Speaker 1: gonna do one more question. And I think we cover

569
00:33:47,920 --> 00:33:51,240
Speaker 1: a lot of upsetting things on the show, some things

570
00:33:51,280 --> 00:33:54,800
Speaker 1: that maybe are not you know, super fun to think about, um,

571
00:33:54,840 --> 00:33:57,200
Speaker 1: but we also cover some like hopeful stuff as well.

572
00:33:57,600 --> 00:34:01,480
Speaker 1: But what's what's one thing at the crew who works

573
00:34:01,480 --> 00:34:05,800
Speaker 1: in the show. Due to decompress and clear our minds after,

574
00:34:06,160 --> 00:34:11,160
Speaker 1: you know, wading through the trenches of the digital hellscape.

575
00:34:12,480 --> 00:34:16,280
Speaker 1: Uh pass, I feel like we might have answered something

576
00:34:16,320 --> 00:34:19,080
Speaker 1: similar to this on the line. I saw Robert playing

577
00:34:19,080 --> 00:34:23,640
Speaker 1: cyberplunk last night, so I know there's at least one thing.

578
00:34:23,880 --> 00:34:26,160
Speaker 1: It does allow me to pretend that Keanu Reeves is

579
00:34:26,200 --> 00:34:33,360
Speaker 1: my friend, which is nice to meet him. First. I

580
00:34:33,440 --> 00:34:35,600
Speaker 1: like to go camping. I like to go outside, like

581
00:34:35,680 --> 00:34:38,359
Speaker 1: I like to swim in the ocean and raban bike

582
00:34:38,400 --> 00:34:42,640
Speaker 1: and hike and camping. Yeah, yeah, I second that I

583
00:34:42,880 --> 00:34:45,560
Speaker 1: need to go outside and just even like a simple

584
00:34:45,600 --> 00:34:48,880
Speaker 1: walk with trees and hiking. I think it really helps

585
00:34:48,920 --> 00:34:54,880
Speaker 1: me just decompressed and be present again, hanging out with

586
00:34:54,920 --> 00:34:59,960
Speaker 1: queer people's not and intentionally not talking about Twitter bullshit.

587
00:35:00,040 --> 00:35:04,600
Speaker 1: It just like going and doing something, just like varying

588
00:35:04,640 --> 00:35:09,200
Speaker 1: around in the grass and just like talking about gay ship.

589
00:35:09,480 --> 00:35:17,680
Speaker 1: It rules. It's the self that heals the heart. Absolutely well. Uh,

590
00:35:17,960 --> 00:35:22,200
Speaker 1: thank thank you everybody. Me. Oh see, I was gonna

591
00:35:22,239 --> 00:35:24,960
Speaker 1: try to just like no, just just just like Google

592
00:35:25,640 --> 00:35:28,279
Speaker 1: that wrap up the episode in a nice little bow.

593
00:35:28,840 --> 00:35:30,799
Speaker 1: I don't know. I've I've been trying to get back

594
00:35:30,800 --> 00:35:34,440
Speaker 1: into doing more kind of art stuff with my camera,

595
00:35:34,520 --> 00:35:37,799
Speaker 1: and whether that be photography or filmmaking. Um, in like

596
00:35:37,960 --> 00:35:41,319
Speaker 1: short form stuff. Uh, what else I've been doing? Yeah,

597
00:35:41,360 --> 00:35:47,800
Speaker 1: I don't know. Taking drugs? Sure, there it is. Shrooms

598
00:35:47,800 --> 00:35:52,960
Speaker 1: are healing, shocking, shocking. Yeah, incredible start on the podcast now,

599
00:35:53,120 --> 00:35:55,280
Speaker 1: now you can wrap it up if you want to. Well,

600
00:35:55,280 --> 00:35:59,279
Speaker 1: thank you everyone for listening to ours. That's what I

601
00:35:59,320 --> 00:36:03,880
Speaker 1: do to relaxe. Thank you. See, that's the thing to do. Actually, actually,

602
00:36:05,200 --> 00:36:08,320
Speaker 1: actually there's one person who has tried to skirt past

603
00:36:08,440 --> 00:36:14,680
Speaker 1: this this question. Sophie. Yes, Sophie, what the hell she looks?

604
00:36:16,239 --> 00:36:18,799
Speaker 1: What do you want? Sophie, You not only have to

605
00:36:18,800 --> 00:36:20,960
Speaker 1: deal with, you know, all of the bad stuff that

606
00:36:20,960 --> 00:36:22,600
Speaker 1: we talked about, but you also have to also have

607
00:36:22,640 --> 00:36:25,680
Speaker 1: to deal with us. Um So what what do you

608
00:36:25,719 --> 00:36:29,279
Speaker 1: do to compress? And clear? Clear, clear, compress? Well, first

609
00:36:29,280 --> 00:36:31,880
Speaker 1: of each and every one of you are the best,

610
00:36:32,080 --> 00:36:38,080
Speaker 1: So let's let's start there. Uh. I really like uh

611
00:36:38,280 --> 00:36:42,640
Speaker 1: making food for my friends, and uh like meeting a

612
00:36:42,680 --> 00:36:46,960
Speaker 1: friend for coffee and just like walking outside or like

613
00:36:47,000 --> 00:36:49,279
Speaker 1: finding like a little place that's like a local place

614
00:36:49,320 --> 00:36:51,759
Speaker 1: and just when and when you go in there's like

615
00:36:51,840 --> 00:36:54,399
Speaker 1: barely anyone in there. But then you get to talk

616
00:36:54,400 --> 00:36:57,080
Speaker 1: to the people that work there and then order a

617
00:36:57,160 --> 00:37:02,400
Speaker 1: nice little dessert or something. It's that kind of thing. Um.

618
00:37:02,480 --> 00:37:05,040
Speaker 1: I'm like, I'm like, I have friends. That's literally what

619
00:37:05,120 --> 00:37:07,920
Speaker 1: I read it. I said it and sounded horrible. Um.

620
00:37:07,960 --> 00:37:11,400
Speaker 1: And then like all guys obviously like having pets and

621
00:37:11,440 --> 00:37:16,839
Speaker 1: being around animals is really solid. But um, it's also

622
00:37:16,880 --> 00:37:19,520
Speaker 1: just like having a healthy balance of you know, focusing

623
00:37:19,560 --> 00:37:21,800
Speaker 1: on a lot of the negative stuff but really also

624
00:37:22,080 --> 00:37:24,360
Speaker 1: putting your energy into a lot of the positive stories.

625
00:37:24,640 --> 00:37:25,960
Speaker 1: I know that a lot of people feel like it

626
00:37:26,000 --> 00:37:28,760
Speaker 1: could happen here is tends to lean towards the negative,

627
00:37:28,840 --> 00:37:31,040
Speaker 1: but I really feel like we're a hopeful show, and

628
00:37:31,080 --> 00:37:33,600
Speaker 1: I feel like as as a network cools, the media

629
00:37:33,640 --> 00:37:36,440
Speaker 1: tries to to to lean lean towards the hope and

630
00:37:36,480 --> 00:37:39,680
Speaker 1: find you know, the good and the bad. And you know,

631
00:37:39,719 --> 00:37:42,200
Speaker 1: that's what we have shows like cool People did cool stuff,

632
00:37:42,239 --> 00:37:46,480
Speaker 1: which is with Margaret Killjoy that that really helps balance

633
00:37:46,520 --> 00:37:49,799
Speaker 1: out a lot of the other things. So yeah, I

634
00:37:49,800 --> 00:37:53,040
Speaker 1: think finding the good in the bad, uh, eating yummy

635
00:37:53,080 --> 00:37:55,439
Speaker 1: food with your friends and petting all the you can.

636
00:37:56,239 --> 00:37:58,799
Speaker 1: You know. I also think a huge thing for all

637
00:37:58,840 --> 00:38:02,479
Speaker 1: of us is taking plenty of alpha brain supplements. Um,

638
00:38:02,520 --> 00:38:07,560
Speaker 1: I like, all right, people listening to it could happen

639
00:38:07,600 --> 00:38:10,960
Speaker 1: here if you have have have a have a good

640
00:38:11,040 --> 00:38:32,080
Speaker 1: year of discord. Oh, Cricky no, I literally because Garrison

641
00:38:32,160 --> 00:38:34,560
Speaker 1: is so mean about about the UK. I literally almost

642
00:38:34,560 --> 00:38:40,080
Speaker 1: got Garrison all UK thing gifts for so many things.

643
00:38:40,080 --> 00:38:41,600
Speaker 1: When I got to see if there was a tea

644
00:38:41,680 --> 00:38:44,600
Speaker 1: pot with the flag, it was so horrible. I didn't

645
00:38:44,600 --> 00:38:48,799
Speaker 1: do it because I knew, but it was. It could

646
00:38:48,880 --> 00:38:51,000
Speaker 1: happen here a podcast. Do you guys want to hear

647
00:38:51,040 --> 00:38:57,759
Speaker 1: my Boston accent? No, that's it, that's that's that's my

648
00:38:57,880 --> 00:39:01,440
Speaker 1: Boston Interson literally started growling as you did that. That's

649
00:39:01,440 --> 00:39:05,040
Speaker 1: how much he needs everybody. Everybody gets angry at my

650
00:39:05,160 --> 00:39:11,120
Speaker 1: best in Austen Jesus Australian, what do you do it?

651
00:39:11,840 --> 00:39:16,280
Speaker 1: Boston is the Australia of the northeast. So this episode

652
00:39:16,280 --> 00:39:20,839
Speaker 1: we're going to be going through our predictions. Prediction number one,

653
00:39:20,920 --> 00:39:26,640
Speaker 1: Robert might not make it. Oh Sofa, you predict that

654
00:39:26,719 --> 00:39:31,799
Speaker 1: every year and it's barely ever true. Little piece of

655
00:39:31,800 --> 00:39:34,279
Speaker 1: you guys, every year, Robert's gonna get true. Trunk could

656
00:39:34,280 --> 00:39:36,680
Speaker 1: buy a plane ticket to Boston, then get lost and

657
00:39:36,719 --> 00:39:40,759
Speaker 1: never returned. It's Okay, I can. I can blend in,

658
00:39:42,880 --> 00:39:46,640
Speaker 1: blend in with my seamless Boston accent. No, you'll no

659
00:39:46,680 --> 00:39:50,120
Speaker 1: one will be able to understand you in a foreign country,

660
00:39:50,200 --> 00:39:54,960
Speaker 1: just like trying to like, why are you just doing Australia.

661
00:39:56,160 --> 00:39:59,319
Speaker 1: It's it's it's Boston, you know at the Home of

662
00:39:59,360 --> 00:40:02,280
Speaker 1: the Koala be so not my fault that all accents

663
00:40:02,320 --> 00:40:06,239
Speaker 1: of interesting possibly trying to get back on track. So, yeah,

664
00:40:06,440 --> 00:40:08,759
Speaker 1: what are we doing today? What are we doing? Who

665
00:40:08,840 --> 00:40:11,520
Speaker 1: are we trying? We're trying. We'll work it up in here.

666
00:40:11,560 --> 00:40:13,520
Speaker 1: There's the same people on this one this last episode

667
00:40:13,520 --> 00:40:18,520
Speaker 1: as Sharene Me Garrison, James Sophie, our producer Mia and

668
00:40:19,560 --> 00:40:24,399
Speaker 1: Bad Boston impersonator Robert Evans. And we're talking about what

669
00:40:24,520 --> 00:40:29,520
Speaker 1: we think might happen in I feel I don't I

670
00:40:29,520 --> 00:40:32,080
Speaker 1: don't remember all of our predictions for last year, but

671
00:40:32,120 --> 00:40:34,400
Speaker 1: I feel like we got most of them correct. I

672
00:40:34,440 --> 00:40:38,000
Speaker 1: think we were right about everything. Yeah, so to to

673
00:40:38,040 --> 00:40:41,279
Speaker 1: continue that to trend um, what do we think is

674
00:40:41,280 --> 00:40:45,600
Speaker 1: going to happen this year? Um? I think Elon Musk

675
00:40:45,719 --> 00:40:49,319
Speaker 1: might wind up sad to pieces by the saudiast. It's

676
00:40:49,360 --> 00:40:55,560
Speaker 1: like there's like a solid there is a non zero chance,

677
00:40:56,560 --> 00:40:58,680
Speaker 1: you know. Okay, The thing, the thing that's actually the

678
00:40:58,719 --> 00:41:01,120
Speaker 1: most sort of surprising me about that is that the

679
00:41:01,120 --> 00:41:05,480
Speaker 1: SoftBank guy is still alive, like as as as much

680
00:41:05,520 --> 00:41:09,600
Speaker 1: Saudi money as Elon has blown through the SoftBank guy

681
00:41:09,719 --> 00:41:13,600
Speaker 1: like like fucking SoftBank guy lit the GDP of a

682
00:41:13,640 --> 00:41:20,880
Speaker 1: regular country on fire, like the most batship companies in

683
00:41:20,920 --> 00:41:27,960
Speaker 1: the world. It's money by being landlords. Do you know

684
00:41:28,040 --> 00:41:32,840
Speaker 1: how hard it is to lose money with a landlording business.

685
00:41:32,960 --> 00:41:34,759
Speaker 1: It's a German guy who wrote a book about it.

686
00:41:35,640 --> 00:41:38,920
Speaker 1: Oh anyways, I think we'll get a really good leak

687
00:41:39,120 --> 00:41:44,600
Speaker 1: from the British royal family doing something absolutely despicable and

688
00:41:43,280 --> 00:41:48,960
Speaker 1: then but like it really high but high quality audio

689
00:41:49,080 --> 00:41:52,759
Speaker 1: or video hopefully video, and then uh and video of

690
00:41:52,800 --> 00:41:55,279
Speaker 1: what Prince Andrew's doing, and then it will make and

691
00:41:55,320 --> 00:41:57,239
Speaker 1: then it will make UK politics even worse than it

692
00:41:57,239 --> 00:42:01,319
Speaker 1: already is. Not. Yeah, yeah, that that part I disagree with.

693
00:42:01,400 --> 00:42:04,640
Speaker 1: But yes to horrifying leak from the British Royal horrifying league.

694
00:42:04,920 --> 00:42:08,520
Speaker 1: Horrifying leak yeah from like I honestly I don't know

695
00:42:08,560 --> 00:42:12,759
Speaker 1: how British politics could be worse. Starm is going to

696
00:42:12,840 --> 00:42:15,680
Speaker 1: win an election and somehow make it even worse despite

697
00:42:15,680 --> 00:42:18,799
Speaker 1: being notionally the left party in the United Kingdom. I

698
00:42:18,840 --> 00:42:21,360
Speaker 1: gotta say, somebody has to get you people on lockdown

699
00:42:21,360 --> 00:42:24,160
Speaker 1: for the names Keir Starmer, that's not a that's not

700
00:42:24,200 --> 00:42:27,160
Speaker 1: a name you know familiar with, Kiar Starma, the leader

701
00:42:27,160 --> 00:42:31,839
Speaker 1: of the opposition. Unbelievable. I'm livid. M Yeah, well wait

702
00:42:31,920 --> 00:42:33,920
Speaker 1: but no I'm not. We had Boris Johnson and it

703
00:42:34,000 --> 00:42:36,960
Speaker 1: really can't get anywhere. Yeah. I I never forgave you

704
00:42:37,000 --> 00:42:39,399
Speaker 1: guys for letting a Boris into power. Can I get

705
00:42:39,400 --> 00:42:45,359
Speaker 1: my bad please? I think I think Pete Davidson will

706
00:42:45,440 --> 00:42:47,919
Speaker 1: date a high a high profile politician in the next year.

707
00:42:48,120 --> 00:42:55,960
Speaker 1: I think Sophie better that's a that's a free space. Sorry,

708
00:42:56,000 --> 00:42:58,359
Speaker 1: I have, I have, I have, I have A better

709
00:42:58,400 --> 00:43:02,879
Speaker 1: one is Pete Davidson is going to date Grimes. That's

710
00:43:02,960 --> 00:43:08,520
Speaker 1: on everybody's list. That's seven times he's going to impregnate

711
00:43:08,560 --> 00:43:11,879
Speaker 1: some that's take that's boring. Um. I think that we're

712
00:43:11,880 --> 00:43:17,200
Speaker 1: going to find out something juicier all right, well, um,

713
00:43:17,239 --> 00:43:20,080
Speaker 1: you know it's it'd be easy to stick with like

714
00:43:20,200 --> 00:43:22,480
Speaker 1: pretty grim predictions like oh there's going to be a

715
00:43:22,480 --> 00:43:27,000
Speaker 1: mass shooting at a drugs like it happen, because that

716
00:43:27,200 --> 00:43:29,879
Speaker 1: seems that that's let's let less to prediction and more

717
00:43:29,920 --> 00:43:32,640
Speaker 1: just like looking at where the temperature is going. Can

718
00:43:32,680 --> 00:43:34,960
Speaker 1: I do my hack version of that that's situless hack,

719
00:43:35,000 --> 00:43:38,160
Speaker 1: which I think. I think we're going to get an

720
00:43:38,239 --> 00:43:41,200
Speaker 1: actual shootout between armed fascist and armanti fascist in a

721
00:43:41,239 --> 00:43:43,720
Speaker 1: city that the press actually cares about, so not portland'

722
00:43:44,280 --> 00:43:47,960
Speaker 1: that is entirely possible. We haven't. We haven't had a

723
00:43:48,000 --> 00:43:50,600
Speaker 1: shootout in Portland yet. I mean, that's that's kind of

724
00:43:52,160 --> 00:43:55,279
Speaker 1: there's been an exchange of gunfire. Why don't you all

725
00:43:55,360 --> 00:43:58,040
Speaker 1: talk at the same fucking time and make Daniel's life

726
00:43:58,040 --> 00:44:03,120
Speaker 1: hard one of you speak, Daniel, Welcome to d Yeah,

727
00:44:04,560 --> 00:44:07,799
Speaker 1: the year we break Danial. Um, we have had an

728
00:44:07,800 --> 00:44:10,920
Speaker 1: exchange of gunfire though, no, we have not. I think

729
00:44:11,000 --> 00:44:12,879
Speaker 1: she means like, oh my god, it has not gone better.

730
00:44:12,960 --> 00:44:15,960
Speaker 1: It has gotten better. We have had a person shooting

731
00:44:15,960 --> 00:44:19,319
Speaker 1: into a crowd and another person shooting that person. We

732
00:44:19,400 --> 00:44:23,520
Speaker 1: have had people fire at each other, Um, But we

733
00:44:23,560 --> 00:44:27,200
Speaker 1: have not had two different people exchange gunfire with each

734
00:44:27,239 --> 00:44:30,040
Speaker 1: other a group like and neither if we had groups

735
00:44:30,040 --> 00:44:32,319
Speaker 1: of people exchange gunfire with each other, that has not

736
00:44:32,400 --> 00:44:36,279
Speaker 1: occurred yet. Um, I agree. I think there's a real

737
00:44:36,360 --> 00:44:40,360
Speaker 1: good chance it does. Um. I'm I'm more worried about

738
00:44:40,480 --> 00:44:43,120
Speaker 1: the police opening fire on a group of anti fascists

739
00:44:43,120 --> 00:44:45,600
Speaker 1: and the fascists joining them. But like, all of those

740
00:44:45,600 --> 00:44:48,000
Speaker 1: things are on the fucking table, and it gets more

741
00:44:48,040 --> 00:44:52,640
Speaker 1: likely every time we roll the dice on that ship. Yeah.

742
00:44:52,760 --> 00:44:55,480
Speaker 1: One thing that gives me some hope is how the

743
00:44:55,560 --> 00:44:59,680
Speaker 1: recent events in Texas have been going. Um, the size

744
00:44:59,680 --> 00:45:02,040
Speaker 1: of the community that has been showing up at the

745
00:45:02,160 --> 00:45:05,920
Speaker 1: last couple of drag events. Um. And how outnumbered the

746
00:45:06,000 --> 00:45:08,480
Speaker 1: right has been as a general rule, if anything is

747
00:45:08,480 --> 00:45:10,600
Speaker 1: going to make it less likely that either the police

748
00:45:10,719 --> 00:45:16,560
Speaker 1: or the fascists fire, Um, it's being tremendously outnumbered. Um.

749
00:45:16,880 --> 00:45:20,040
Speaker 1: So I don't know. I'm I'm in between a hopeful

750
00:45:20,200 --> 00:45:23,040
Speaker 1: and despairing about like where the future of that's going

751
00:45:23,080 --> 00:45:27,920
Speaker 1: to be. Here's my hopeful prediction, Crypto dot com Arena

752
00:45:28,040 --> 00:45:31,080
Speaker 1: will not be named Crypto dot Com Arena by the

753
00:45:31,200 --> 00:45:36,680
Speaker 1: end of the year. Yeah, that is my hope and dream.

754
00:45:36,840 --> 00:45:40,680
Speaker 1: I do think that crypto dot com is well. I mean,

755
00:45:40,680 --> 00:45:44,960
Speaker 1: it looks like binances on its way to collapsing slightly

756
00:45:45,040 --> 00:45:47,480
Speaker 1: less badly than ft X did, but it looks like

757
00:45:47,520 --> 00:45:51,960
Speaker 1: it's not going to be around much longer. UM in

758
00:45:52,040 --> 00:45:54,520
Speaker 1: Crypto dot Com is kind of in a similar space.

759
00:45:54,640 --> 00:45:56,839
Speaker 1: I think there's actually a real chance that we see

760
00:45:56,880 --> 00:46:01,759
Speaker 1: the functional death of cryptocurrency UM that we've already seen

761
00:46:01,800 --> 00:46:05,239
Speaker 1: it be named a normal thing and not something viciously embarrassing.

762
00:46:05,320 --> 00:46:08,600
Speaker 1: Robert It's it's it's still going to be embarrassing because

763
00:46:08,640 --> 00:46:11,360
Speaker 1: they paid for that. I think it's just like f

764
00:46:11,480 --> 00:46:14,440
Speaker 1: t X paid like a hundred and fifty million dollars

765
00:46:14,520 --> 00:46:16,680
Speaker 1: up front to get their name on that stadium and

766
00:46:16,960 --> 00:46:20,480
Speaker 1: Florida UM. They are trying to change it, but I

767
00:46:20,520 --> 00:46:23,280
Speaker 1: think they're stuck with it for a little while. Stadium

768
00:46:24,400 --> 00:46:31,719
Speaker 1: I'd rather be called scam Stadium literally, Yeah, yeah, the

769
00:46:31,880 --> 00:46:37,440
Speaker 1: Charles Ponzi Memorial Stadium. How you go from here's office

770
00:46:37,480 --> 00:46:42,320
Speaker 1: supplies to that. It's so embarrassing and like it doesn't

771
00:46:42,360 --> 00:46:45,279
Speaker 1: even flow. Okay, I could we're not doing this right now. Yeah,

772
00:46:45,320 --> 00:46:49,560
Speaker 1: I think that we should change the Crypto dot Com stadium.

773
00:46:49,560 --> 00:46:51,960
Speaker 1: We should name it after Bad Dragon, that company that

774
00:46:52,040 --> 00:46:59,160
Speaker 1: makes buildos themed after mythological creatures based Yeah. I this

775
00:46:59,200 --> 00:47:00,880
Speaker 1: isn't like hopeful, but I feel like there's going to

776
00:47:00,920 --> 00:47:03,359
Speaker 1: be another virus because there are some people that are

777
00:47:03,400 --> 00:47:06,680
Speaker 1: going too hard in the other direction. I feel like

778
00:47:07,239 --> 00:47:09,600
Speaker 1: every year there might be a new virus introduced that

779
00:47:09,640 --> 00:47:14,680
Speaker 1: we're going to yeah, and with theories about where it

780
00:47:14,719 --> 00:47:17,120
Speaker 1: came from. Yeah. But then like, but we're like past

781
00:47:17,160 --> 00:47:19,360
Speaker 1: the point of being able to lock down, you know

782
00:47:19,440 --> 00:47:22,160
Speaker 1: what I mean? Like I think, like that's what's gonna

783
00:47:22,200 --> 00:47:26,839
Speaker 1: make it start. Yeah, yeah, I mean yeah. Part of

784
00:47:26,880 --> 00:47:29,719
Speaker 1: one of the scary things about the COVID response is

785
00:47:29,760 --> 00:47:33,840
Speaker 1: that the how politicize the concept of a lockdown or

786
00:47:33,880 --> 00:47:36,640
Speaker 1: mask wearing has gotten means that there's effectively no way

787
00:47:37,239 --> 00:47:43,600
Speaker 1: for US culture to stem the spread of an airborne virus.

788
00:47:43,600 --> 00:47:47,200
Speaker 1: Like it's impossible, there's not even a chance. Um, we've

789
00:47:47,400 --> 00:47:50,439
Speaker 1: done used to parachute and use it again. We we

790
00:47:50,440 --> 00:47:53,839
Speaker 1: we lit the parachute on fire. Yeah, Yeah, to own

791
00:47:53,840 --> 00:47:57,640
Speaker 1: the lips. Yeah. I I've been wanting to do this

792
00:47:57,680 --> 00:47:59,120
Speaker 1: for a long time, but I haven't done because I

793
00:47:59,120 --> 00:48:02,040
Speaker 1: don't think it's fees able for work. But I would love.

794
00:48:02,080 --> 00:48:04,600
Speaker 1: I think people are going to start using flip phones more.

795
00:48:05,280 --> 00:48:08,799
Speaker 1: They think, like people are going to step away to traditions. Yeah,

796
00:48:08,800 --> 00:48:11,200
Speaker 1: because there's even like a psychological study going on right

797
00:48:11,239 --> 00:48:13,239
Speaker 1: now where a bunch of teens did that, and like

798
00:48:13,560 --> 00:48:17,279
Speaker 1: they've reported much better lives or whatever the ship. So

799
00:48:17,440 --> 00:48:19,439
Speaker 1: I would love to myself, but I think more people

800
00:48:19,440 --> 00:48:21,960
Speaker 1: are going to go. I saw a graph the other

801
00:48:22,040 --> 00:48:25,280
Speaker 1: day saying the happiest that American teens have reported themselves

802
00:48:25,360 --> 00:48:28,040
Speaker 1: being was the early two thousands, right around when I

803
00:48:28,080 --> 00:48:31,239
Speaker 1: graduated high school, and all we could do with our

804
00:48:31,280 --> 00:48:34,440
Speaker 1: phones was text each other to buy drugs and play Snake.

805
00:48:34,760 --> 00:48:37,359
Speaker 1: And that's all kids need is the ability to play

806
00:48:37,400 --> 00:48:42,439
Speaker 1: Snake and buy ketamine um happy at the same time. Yep,

807
00:48:43,480 --> 00:48:45,239
Speaker 1: that's what it's going to do. The arena next, it's

808
00:48:45,239 --> 00:48:50,839
Speaker 1: going to be the ktamine arena. Well do you know

809
00:48:51,120 --> 00:48:54,080
Speaker 1: do you know who could buy the arena? Rob Evans,

810
00:48:54,400 --> 00:48:57,560
Speaker 1: any of these products and services that that support this podcast,

811
00:48:59,040 --> 00:49:00,719
Speaker 1: And we're back in this is this is this is

812
00:49:00,960 --> 00:49:06,920
Speaker 1: a section that we're calling death. This is who is

813
00:49:06,960 --> 00:49:11,239
Speaker 1: going to die? Can I start this one? Yeah, it's

814
00:49:11,239 --> 00:49:13,879
Speaker 1: gonna it's gonna be No Chomsky. That's That's that's who

815
00:49:13,880 --> 00:49:17,000
Speaker 1: I'm doing. I think No Chomsky is gonna die. I

816
00:49:17,040 --> 00:49:21,760
Speaker 1: think we're going to have the worst two or three weeks.

817
00:49:22,000 --> 00:49:25,600
Speaker 1: A lot of times the media that we've seen in years.

818
00:49:25,800 --> 00:49:29,520
Speaker 1: It's gonna make it's gonna make it's it's gonna it's

819
00:49:29,520 --> 00:49:33,120
Speaker 1: gonna make pog patrol discourse look like tame, like we're

820
00:49:33,800 --> 00:49:36,120
Speaker 1: like people, people are good, people are on ironically gonna

821
00:49:36,120 --> 00:49:39,640
Speaker 1: be doing Stalin as a POC discourse again. And as

822
00:49:40,480 --> 00:49:43,799
Speaker 1: you have to explain it, you have to. You have

823
00:49:43,880 --> 00:49:46,680
Speaker 1: to pause and explain all of this because nobody reason

824
00:49:46,840 --> 00:49:51,239
Speaker 1: to understanding. We have to. We have to blaze through

825
00:49:51,239 --> 00:49:53,759
Speaker 1: that and pretend it never happens. I don't know what

826
00:49:53,800 --> 00:49:56,320
Speaker 1: pog patrol is. I imagine how you don't. Okay, I

827
00:49:56,680 --> 00:50:00,120
Speaker 1: I legitimately refused to explain that. Um if if if

828
00:50:00,160 --> 00:50:02,200
Speaker 1: you want me to great, you need to pay me

829
00:50:02,239 --> 00:50:06,640
Speaker 1: more that I'm being paid. Okay, alright, I'm sure someone

830
00:50:06,640 --> 00:50:08,640
Speaker 1: will DM me now to explain it. Thank you very

831
00:50:08,760 --> 00:50:11,480
Speaker 1: They're the they're they're the people who are behind all

832
00:50:11,520 --> 00:50:15,719
Speaker 1: of this insufferable left wing discourse that occasionally breaks through.

833
00:50:15,760 --> 00:50:19,720
Speaker 1: They did round two of Ann Frank, white privileged discourse

834
00:50:21,960 --> 00:50:26,040
Speaker 1: that happens. Jump off a bridge anyway, death death, who

835
00:50:27,880 --> 00:50:30,840
Speaker 1: you think is gonna die. It's like I'm making a

836
00:50:30,840 --> 00:50:34,080
Speaker 1: hail Mary Elon Musk. It's gonna be musk drug addiction.

837
00:50:34,320 --> 00:50:40,840
Speaker 1: Maybe maybe he maybe he shoots himself yoga in his

838
00:50:40,920 --> 00:50:42,759
Speaker 1: duffle bag when he shoots himself in the back of

839
00:50:42,760 --> 00:50:47,360
Speaker 1: the head by accident. That's very specific, James. It's almost

840
00:50:47,400 --> 00:50:50,280
Speaker 1: like you planned that out. It's almost like someone already

841
00:50:50,320 --> 00:50:57,120
Speaker 1: did it. What I think, I think Joe Biden's gonna die. Um,

842
00:50:57,160 --> 00:51:03,400
Speaker 1: I think it's just makes sense, busy law like. I

843
00:51:03,440 --> 00:51:06,279
Speaker 1: have that in my head too. I didn't specificly Joe,

844
00:51:06,320 --> 00:51:09,920
Speaker 1: I said, whoever is? I said, one of the two

845
00:51:10,000 --> 00:51:13,640
Speaker 1: people running for president in that are the clear front runners,

846
00:51:13,680 --> 00:51:15,759
Speaker 1: one of the two will die, causing it, causing the

847
00:51:15,800 --> 00:51:18,160
Speaker 1: election to be even more stupid than it already. Is

848
00:51:19,040 --> 00:51:30,200
Speaker 1: My runner round Nancy Pelosi, but that she'll be at Vinyards,

849
00:51:30,360 --> 00:51:33,360
Speaker 1: She's gonna be thriving, and all that will happen. If

850
00:51:33,360 --> 00:51:37,440
Speaker 1: Pelosi said, people will sell out of those weird political

851
00:51:37,800 --> 00:51:40,560
Speaker 1: like action figures, We're just we'll just to sell out

852
00:51:40,560 --> 00:51:42,920
Speaker 1: of all the Nancy Pelosi ones. That that's all that

853
00:51:42,960 --> 00:51:45,239
Speaker 1: will happen. If if if I'm not saying I want

854
00:51:45,280 --> 00:51:46,680
Speaker 1: her to die or not want her to die, I

855
00:51:46,719 --> 00:51:48,600
Speaker 1: just think those are the two people that every time

856
00:51:48,600 --> 00:51:51,880
Speaker 1: I see them. I'm like, how are how you know?

857
00:51:51,960 --> 00:51:54,080
Speaker 1: I thought that with Boris Johnson, I think he like

858
00:51:54,160 --> 00:51:58,799
Speaker 1: that man has lift a rough one. I wouldn't be

859
00:51:58,800 --> 00:52:00,400
Speaker 1: shown to if he you know, what would be the

860
00:52:00,400 --> 00:52:03,719
Speaker 1: funniest terminal gout? You know, would be the funniest thing

861
00:52:03,880 --> 00:52:07,839
Speaker 1: based on what if? What if? What if the king

862
00:52:07,920 --> 00:52:13,080
Speaker 1: does a year after the queen. There's a decent chance

863
00:52:13,120 --> 00:52:16,000
Speaker 1: you've seen his fingers, that man is not healthy. Yeah,

864
00:52:17,800 --> 00:52:20,279
Speaker 1: that would be so funny. It would be pretty funny

865
00:52:20,320 --> 00:52:22,520
Speaker 1: if it ended up with Megan Marckwell being queen after

866
00:52:22,480 --> 00:52:25,880
Speaker 1: you will, just because he has so much mighty funny

867
00:52:26,080 --> 00:52:27,719
Speaker 1: what I what I will throw out there. I think

868
00:52:27,719 --> 00:52:30,600
Speaker 1: there's a decent chance it's Fuintes. I think he's gotten

869
00:52:31,040 --> 00:52:34,480
Speaker 1: Nick Fuintes his his his profile has increased so much

870
00:52:34,520 --> 00:52:37,759
Speaker 1: so quickly, that he gets killed by one of his Yeah,

871
00:52:39,160 --> 00:52:40,719
Speaker 1: I think there's a good chance it's one of the

872
00:52:40,880 --> 00:52:47,600
Speaker 1: fans he's already had. That wasn't Louis Rockwell. Yeah, yeah,

873
00:52:47,680 --> 00:52:49,799
Speaker 1: I mean hack of a fraud. Part of why I

874
00:52:49,840 --> 00:52:52,880
Speaker 1: think that there's a chance of that is the weird

875
00:52:53,000 --> 00:52:56,000
Speaker 1: sex related drama he's had with a number of his followers,

876
00:52:56,080 --> 00:53:01,000
Speaker 1: Like he's already messing in those like wading into those waters. Um,

877
00:53:01,239 --> 00:53:04,080
Speaker 1: he's he's done ship like going over their rooms with

878
00:53:04,120 --> 00:53:09,359
Speaker 1: a black light and stuff like. He's had weird, uncomfortable

879
00:53:09,440 --> 00:53:15,880
Speaker 1: relations like relationships with his followers that are like distressingly personal.

880
00:53:16,160 --> 00:53:18,040
Speaker 1: Um in a way that makes me think that one

881
00:53:18,080 --> 00:53:20,920
Speaker 1: of them might lose it on him. Um, I don't know.

882
00:53:21,040 --> 00:53:26,080
Speaker 1: I think there's a non zero chance it's flintes get Yeah,

883
00:53:26,160 --> 00:53:28,080
Speaker 1: he gets swatted. I'm less worried about that. Yeah, I

884
00:53:28,080 --> 00:53:31,840
Speaker 1: think like murdered by another weirdo, right winger. There's a

885
00:53:31,840 --> 00:53:36,480
Speaker 1: decent chance, said a good thing come out. I think

886
00:53:36,560 --> 00:53:44,240
Speaker 1: Rudy's dying. Oh here's something which Rudy Giuliani. I disagree.

887
00:53:44,360 --> 00:53:49,919
Speaker 1: You think he's gonna forever. Yeah, I think he died

888
00:53:49,960 --> 00:53:51,839
Speaker 1: four years ago. To be fair, that man, he's made

889
00:53:51,840 --> 00:53:55,359
Speaker 1: of wax and melting. He is thriving. Another example of that.

890
00:53:55,400 --> 00:53:57,480
Speaker 1: I just read a great interview with him in Cigara

891
00:53:57,520 --> 00:54:02,440
Speaker 1: Ficionado magazine. Um, my favorite fact about Rudy. So you're

892
00:54:02,440 --> 00:54:05,840
Speaker 1: not supposed to inhale cigars unless you're one of a

893
00:54:05,880 --> 00:54:08,160
Speaker 1: tiny chunk of people who think that that's the right

894
00:54:08,200 --> 00:54:11,000
Speaker 1: way to smoke them and Rudy's in Hailer. Rudy sucks.

895
00:54:13,200 --> 00:54:14,600
Speaker 1: Do you know? Do you know who else is it

896
00:54:14,640 --> 00:54:17,799
Speaker 1: in Hailer is Stephen Crowder and we know that he's

897
00:54:17,840 --> 00:54:21,799
Speaker 1: had a series of pretty significant medical issues. I think

898
00:54:21,840 --> 00:54:25,120
Speaker 1: Stephen Crowder goes back in the hospital and I think

899
00:54:25,239 --> 00:54:27,840
Speaker 1: I think he'll survive, but he will have to like

900
00:54:28,239 --> 00:54:31,160
Speaker 1: live like like he'll have to be like hooked up

901
00:54:31,200 --> 00:54:35,040
Speaker 1: to like machinery to be able to keep going. So

902
00:54:35,080 --> 00:54:37,279
Speaker 1: he's gonna he's gonna be doing his show while hooked

903
00:54:37,320 --> 00:54:39,759
Speaker 1: up to medical equipment. I think that is That is

904
00:54:39,800 --> 00:54:43,479
Speaker 1: another one of my is not healthy right? He still

905
00:54:43,640 --> 00:54:48,719
Speaker 1: he's ever that's gonna happen. There's a Twitter dedicated to

906
00:54:49,320 --> 00:54:51,640
Speaker 1: He's gonna die or not There there is a Twitter

907
00:54:51,680 --> 00:54:53,640
Speaker 1: dedicade into if Twarn Peterson is going to die or

908
00:54:53,680 --> 00:54:59,080
Speaker 1: not good good? Speaking of with Twitter accounts, I do

909
00:54:59,200 --> 00:55:03,719
Speaker 1: think I do think this is the year Kissinger. Yeah, yeah,

910
00:55:03,880 --> 00:55:10,319
Speaker 1: I think I am never kissing always bet against kissing Er. Yeah,

911
00:55:11,000 --> 00:55:15,200
Speaker 1: he's going to stay alive at least to see another

912
00:55:15,239 --> 00:55:18,360
Speaker 1: election rig somewhere in the world or a coup. But

913
00:55:18,480 --> 00:55:20,719
Speaker 1: he's ninety nine, Okay, I think I think he gets

914
00:55:20,760 --> 00:55:23,480
Speaker 1: to a hundred one, he gets he gets to like

915
00:55:23,600 --> 00:55:30,239
Speaker 1: a hundred eight. He carries a longer, way longer than

916
00:55:30,280 --> 00:55:33,279
Speaker 1: what he should a hundred hundred nine. Maybe, how are people,

917
00:55:33,320 --> 00:55:34,800
Speaker 1: because I know several of us have said this in

918
00:55:34,840 --> 00:55:38,480
Speaker 1: the past, how are people feeling about Kanye? I think

919
00:55:38,600 --> 00:55:45,240
Speaker 1: I think there's a decent chance, like, absolutely, seriously, absolutely seriously,

920
00:55:45,280 --> 00:55:47,920
Speaker 1: there there's a decent chance that he dies from a

921
00:55:48,000 --> 00:55:50,240
Speaker 1: number of reasons. Yeah, Garrison and I have talked about

922
00:55:50,239 --> 00:55:52,520
Speaker 1: this a lot, and we both are on that side,

923
00:55:52,560 --> 00:55:54,759
Speaker 1: So we think that's yeah, that's yah. I agree with that.

924
00:55:54,840 --> 00:55:59,120
Speaker 1: I think, yeah, huh, Well, I think the real money

925
00:55:59,200 --> 00:56:02,160
Speaker 1: is on, does con you take anyone with him? Oh

926
00:56:02,239 --> 00:56:07,600
Speaker 1: my gosh, my god, what if he takes what if?

927
00:56:07,880 --> 00:56:15,360
Speaker 1: What if? Together? Garrison, there's not terrible numbers on that

928
00:56:15,360 --> 00:56:21,560
Speaker 1: that's so likely that that is not a zero percent. Oh,

929
00:56:21,920 --> 00:56:24,920
Speaker 1: I just gotta just got a single spark of hope

930
00:56:24,960 --> 00:56:28,480
Speaker 1: in my dead soul. I think I think this is

931
00:56:28,520 --> 00:56:33,920
Speaker 1: a year we lose Ojay. Oh wow. I saw him

932
00:56:33,960 --> 00:56:37,000
Speaker 1: given interview the other day, and I mean it was

933
00:56:37,400 --> 00:56:40,200
Speaker 1: he looked unwell. Oh Jay is just a kissinger. He

934
00:56:41,520 --> 00:56:46,120
Speaker 1: somehow keeps winning even though he shouldn't. Ye, the smart

935
00:56:46,360 --> 00:56:48,880
Speaker 1: the smart money is never on betting against the juice.

936
00:56:49,239 --> 00:56:53,160
Speaker 1: Oh god, alright, well, uh do you do you know

937
00:56:53,239 --> 00:56:58,200
Speaker 1: who else loves betting the products and services that weird,

938
00:56:58,880 --> 00:57:03,640
Speaker 1: things that are autoact Michael Jordan's dad for a while, Robert,

939
00:57:05,200 --> 00:57:13,040
Speaker 1: that man was murdered. Yeah, Cambodian guy. He left betting problem. Alright,

940
00:57:13,120 --> 00:57:15,280
Speaker 1: break or is this all before the break? Okay? Who's

941
00:57:15,360 --> 00:57:18,400
Speaker 1: to say so? Who's to say we have no idea?

942
00:57:19,440 --> 00:57:25,080
Speaker 1: All right, we're bad mentions like any last throws. I'll

943
00:57:25,160 --> 00:57:27,680
Speaker 1: just say I really hope it is in Britney spears.

944
00:57:27,800 --> 00:57:31,960
Speaker 1: Thank you so much. Oh my god. Alright, um, let's see.

945
00:57:32,640 --> 00:57:36,720
Speaker 1: Uh so final predictions. Um, you know there is not

946
00:57:36,920 --> 00:57:39,760
Speaker 1: the mid terms, right, there's no there's no significant kind

947
00:57:39,800 --> 00:57:43,080
Speaker 1: of election this year, at least inside the US. UM.

948
00:57:43,440 --> 00:57:45,680
Speaker 1: I think this is this is a prediction that's that's

949
00:57:45,680 --> 00:57:48,880
Speaker 1: gonna hurt Sophie. I think something really bad comes out

950
00:57:48,880 --> 00:57:53,040
Speaker 1: about Harry Styles, and I'm praying for it. I'm first

951
00:57:53,040 --> 00:57:56,240
Speaker 1: of all that something really damaging is going to come

952
00:57:56,240 --> 00:57:59,560
Speaker 1: out about Harry Styles. I saw that I saw the

953
00:57:59,640 --> 00:58:01,720
Speaker 1: only fictions I saw about hair styles that he was

954
00:58:01,720 --> 00:58:03,600
Speaker 1: going to come out with a vow of celibacy. I

955
00:58:03,720 --> 00:58:07,280
Speaker 1: let's go with that instead that honestly, that that is

956
00:58:08,240 --> 00:58:11,280
Speaker 1: so likely. I think Garrison is on the right track, though.

957
00:58:11,360 --> 00:58:15,520
Speaker 1: I think, whether it be something there or somebody else,

958
00:58:15,560 --> 00:58:17,360
Speaker 1: I think there's going to be a huge, huge pop

959
00:58:17,480 --> 00:58:20,640
Speaker 1: celebrity scandal. Hopefully it's not here. Yeah, well there was one.

960
00:58:20,720 --> 00:58:24,000
Speaker 1: I mean every year there's a celebrity scandal. I mean,

961
00:58:24,560 --> 00:58:29,240
Speaker 1: I don't know. Take card that's right, Sothy, that's right. Yeah,

962
00:58:30,520 --> 00:58:33,160
Speaker 1: I don't know if I think it's I think we're

963
00:58:33,160 --> 00:58:35,560
Speaker 1: going to learn going through some ship with I don't know.

964
00:58:35,760 --> 00:58:38,640
Speaker 1: Sexual assault. Yeah, it was in the early two thousand.

965
00:58:38,840 --> 00:58:43,080
Speaker 1: He assaulted a bunch of people and the main person

966
00:58:43,200 --> 00:58:46,439
Speaker 1: that's yesn't their backstreep brothers who are backstreep? I'm like backs,

967
00:58:46,640 --> 00:58:51,800
Speaker 1: but I'm likely actually who are streams? Isn't That isn't

968
00:58:51,840 --> 00:58:56,520
Speaker 1: that correct? But I think some one more relevant than

969
00:58:56,640 --> 00:59:00,200
Speaker 1: Carter will will be expec another another prediction. It's like

970
00:59:00,360 --> 00:59:02,040
Speaker 1: less of a less of a prediction. Were just like

971
00:59:02,240 --> 00:59:06,720
Speaker 1: looking at current trends and recent reporting, um that there

972
00:59:06,760 --> 00:59:12,000
Speaker 1: will be a big shift away from like a shift

973
00:59:12,040 --> 00:59:16,120
Speaker 1: away from solar towards nuclear fusion. I think that we're gonna,

974
00:59:16,280 --> 00:59:19,240
Speaker 1: we're gonna. I think I think stuff is too far out.

975
00:59:19,680 --> 00:59:22,560
Speaker 1: I but no, no, no, I think on the governmental level,

976
00:59:22,800 --> 00:59:24,520
Speaker 1: whether or not it works or not, there's going to

977
00:59:24,560 --> 00:59:27,800
Speaker 1: be a big shift towards talking about fusion as the

978
00:59:27,920 --> 00:59:32,160
Speaker 1: solution to climate stuff. I think that will particularly be

979
00:59:32,240 --> 00:59:36,640
Speaker 1: influential around people who don't want to support meaningful climate

980
00:59:36,760 --> 00:59:40,360
Speaker 1: change mitigation activities. Now like, yeah, I agree with you.

981
00:59:40,400 --> 00:59:43,560
Speaker 1: There like a shield, I have a chin to take,

982
00:59:43,920 --> 00:59:48,480
Speaker 1: which is yeah, okay, so all right, it's really hard

983
00:59:48,520 --> 00:59:53,240
Speaker 1: to get good information about exactly what so okay. One

984
00:59:53,240 --> 00:59:55,000
Speaker 1: of the things, the thing that's been happening as a

985
00:59:55,040 --> 00:59:58,320
Speaker 1: certain result of the protest is that CCP is done

986
00:59:59,320 --> 01:00:04,520
Speaker 1: like yeah, I don't know. They're doing a traditionally really

987
01:00:04,680 --> 01:00:07,720
Speaker 1: stupid CCP response, which is that they've they've they've they

988
01:00:07,800 --> 01:00:10,400
Speaker 1: basically flip their policy like on its head, on its

989
01:00:10,480 --> 01:00:12,240
Speaker 1: head in a lot of places, there's been a lot

990
01:00:12,320 --> 01:00:16,080
Speaker 1: of like they've they've they've gone very quickly from mobilizing

991
01:00:16,080 --> 01:00:19,040
Speaker 1: state resources to like keep people in lockdowns, to mobilizing

992
01:00:19,120 --> 01:00:21,800
Speaker 1: state resources to forcing people to go to work. And

993
01:00:22,920 --> 01:00:28,000
Speaker 1: it's it's really unclear exactly what like how bad like

994
01:00:28,120 --> 01:00:31,080
Speaker 1: the COVID waves they're going to get is I Actually,

995
01:00:31,080 --> 01:00:33,160
Speaker 1: I don't think it's going to be as bad as

996
01:00:34,080 --> 01:00:37,120
Speaker 1: like the Really there's there's a lot of predictions that

997
01:00:37,160 --> 01:00:39,200
Speaker 1: are like like a like a million people are gonna

998
01:00:39,240 --> 01:00:40,680
Speaker 1: die in like six months, is like, No, I don't

999
01:00:40,720 --> 01:00:45,040
Speaker 1: think that's true. But I think if COVID actually does

1000
01:00:45,200 --> 01:00:49,640
Speaker 1: get into this sort of like China has this very

1001
01:00:49,760 --> 01:00:53,760
Speaker 1: large population of like very like very very not vaxed

1002
01:00:54,720 --> 01:00:58,880
Speaker 1: like old people basically like particularly in rural areas, and

1003
01:00:58,960 --> 01:01:01,480
Speaker 1: if COVID gets into those people and those people start dying,

1004
01:01:02,040 --> 01:01:04,160
Speaker 1: I think we're gonna see ship in China that makes

1005
01:01:04,240 --> 01:01:07,200
Speaker 1: like the current protests look like a fucking joke. Like

1006
01:01:07,360 --> 01:01:09,800
Speaker 1: I think we're gonna see like like people like like

1007
01:01:09,920 --> 01:01:11,920
Speaker 1: party officials are gonna be getting like dragged to the

1008
01:01:12,000 --> 01:01:16,840
Speaker 1: fucking streets like it's I don't know, Like I this

1009
01:01:16,920 --> 01:01:19,160
Speaker 1: has been one of my long running beliefs about Chinese society,

1010
01:01:19,160 --> 01:01:20,680
Speaker 1: which is I don't think you can actually kill a

1011
01:01:20,720 --> 01:01:22,960
Speaker 1: million people in China and not like like even even

1012
01:01:23,040 --> 01:01:25,720
Speaker 1: like a like forty or fifty people. I don't. I

1013
01:01:25,720 --> 01:01:29,400
Speaker 1: don't think you can have the government just straight up

1014
01:01:29,440 --> 01:01:31,560
Speaker 1: to policies that killed that many people without stuff going

1015
01:01:32,120 --> 01:01:36,920
Speaker 1: really really fucking wild really quickly. And I think people

1016
01:01:36,960 --> 01:01:41,200
Speaker 1: are underestimating the extent to which expect, especially in in

1017
01:01:41,440 --> 01:01:44,640
Speaker 1: in these rural areas. If if those people start dying

1018
01:01:44,760 --> 01:01:49,400
Speaker 1: on mass I think it's gonna get fucking wild. Um. Yeah,

1019
01:01:49,600 --> 01:01:53,160
Speaker 1: that's my. That's my that's that's that's that's that's that's

1020
01:01:53,200 --> 01:01:58,120
Speaker 1: my that's my China hot take. Alrighty, already, I bet

1021
01:01:58,520 --> 01:02:01,400
Speaker 1: does something horrific of a three D printed gun of

1022
01:02:01,520 --> 01:02:05,800
Speaker 1: some kind somewhere and there's a whole bunch of panic.

1023
01:02:05,920 --> 01:02:08,400
Speaker 1: And yeah, that was the next thing I was going

1024
01:02:08,480 --> 01:02:11,200
Speaker 1: to say. My prediction was gonna be there was going

1025
01:02:11,240 --> 01:02:14,680
Speaker 1: to be significant pressure on a federal level to ban

1026
01:02:14,800 --> 01:02:19,000
Speaker 1: the production of three D printed guns and on international level, Yeah,

1027
01:02:19,080 --> 01:02:21,520
Speaker 1: because I think there's a really good chance that happens

1028
01:02:21,800 --> 01:02:25,000
Speaker 1: somewhere in Europe in the same way that like you had,

1029
01:02:25,240 --> 01:02:29,400
Speaker 1: you had the bottom Clout massacre kind of done using

1030
01:02:30,360 --> 01:02:34,640
Speaker 1: remilitarized demail like prop guns, and I think there's a

1031
01:02:34,680 --> 01:02:38,680
Speaker 1: good chance that we get something maybe out of Germany, um,

1032
01:02:39,200 --> 01:02:42,320
Speaker 1: with a high body count that that pushes internationally for

1033
01:02:42,640 --> 01:02:46,040
Speaker 1: restrictions and crackdowns anyone to have a prediction on who

1034
01:02:46,080 --> 01:02:50,280
Speaker 1: Trump will pick as is running me Oh, Sarah Payton,

1035
01:02:51,600 --> 01:02:54,560
Speaker 1: I think it could be back. I think I could

1036
01:02:54,640 --> 01:02:58,000
Speaker 1: get honestly, honestly, honestly though, like if you're if you're

1037
01:02:58,000 --> 01:03:00,880
Speaker 1: on the ground in Alaska, like almost every single person

1038
01:03:01,000 --> 01:03:03,280
Speaker 1: that because Jamie was just was working on a story

1039
01:03:03,320 --> 01:03:06,040
Speaker 1: for us, and that's Bassa. They like her. They're they're

1040
01:03:06,080 --> 01:03:10,600
Speaker 1: like she's bad. We don't get it. Literally, she's so popular. Yeah.

1041
01:03:10,840 --> 01:03:15,040
Speaker 1: So I don't know who who Trump's gonna pick. There's

1042
01:03:15,080 --> 01:03:17,960
Speaker 1: so many people he could that feel like too obvious

1043
01:03:18,160 --> 01:03:20,840
Speaker 1: or too much like they're too popular that they could

1044
01:03:21,200 --> 01:03:27,400
Speaker 1: threaten Trump's like like singular brand, because I don't think

1045
01:03:27,480 --> 01:03:30,000
Speaker 1: he wants another big voice. I don't want someone to

1046
01:03:30,080 --> 01:03:32,880
Speaker 1: be slightly passive. I don't think he's not going to

1047
01:03:32,960 --> 01:03:37,160
Speaker 1: pick yeah exactly, I don't know which one, but I

1048
01:03:37,200 --> 01:03:41,200
Speaker 1: think he'll pick a black Republican. I think that's that's

1049
01:03:41,720 --> 01:03:51,760
Speaker 1: who Loud. I don't think he can't shall Walker Garrison

1050
01:03:52,200 --> 01:03:56,600
Speaker 1: crazy don't speak that into being. I don't, but also

1051
01:03:57,000 --> 01:03:59,280
Speaker 1: I can imagine that I think that is That is

1052
01:03:59,320 --> 01:04:02,480
Speaker 1: my prediction. I think Walker lost and he does not.

1053
01:04:03,080 --> 01:04:05,600
Speaker 1: He does not like losers. I think which is why

1054
01:04:05,640 --> 01:04:08,560
Speaker 1: he hated John McCain, who lost Vietnam. I think I'll

1055
01:04:08,600 --> 01:04:12,040
Speaker 1: probably I think I think I see him picking a woman. Oh,

1056
01:04:12,880 --> 01:04:14,840
Speaker 1: I see him picking a woman, which is what it

1057
01:04:14,880 --> 01:04:17,400
Speaker 1: will be good for his optics. I just I just

1058
01:04:17,480 --> 01:04:19,840
Speaker 1: don't know what. I just don't know a woman that's

1059
01:04:20,000 --> 01:04:23,600
Speaker 1: either like high profile enough but still quiet enough that

1060
01:04:28,600 --> 01:04:31,640
Speaker 1: love and Sarah Palin, It doesn't matter what they love.

1061
01:04:31,760 --> 01:04:35,560
Speaker 1: What matters is that Trump doesn't want somebody who could

1062
01:04:35,680 --> 01:04:38,520
Speaker 1: who has the potential of distracting attention from him, And

1063
01:04:38,680 --> 01:04:40,760
Speaker 1: she's been a big enough media figure in her own

1064
01:04:40,880 --> 01:04:42,680
Speaker 1: right that I think he'd be worried about it. I

1065
01:04:42,760 --> 01:04:47,280
Speaker 1: think Kanye, no, they hate each other. Now, I'm just

1066
01:04:47,320 --> 01:04:50,320
Speaker 1: saying that's the vibe I'm getting from what I think

1067
01:04:50,400 --> 01:04:53,000
Speaker 1: he what I think he thinks will help him. Like

1068
01:04:53,280 --> 01:04:56,080
Speaker 1: a black man that can speak kind of the same

1069
01:04:56,120 --> 01:04:58,440
Speaker 1: way Kanye speaks to his audience, like maybe before the

1070
01:04:58,480 --> 01:05:01,640
Speaker 1: antisemitic ship, but a black man Republican, I think is

1071
01:05:01,720 --> 01:05:06,560
Speaker 1: what will happen. I think he has two flanks that

1072
01:05:06,680 --> 01:05:09,640
Speaker 1: he can be hit from the Republican Party, and one

1073
01:05:09,720 --> 01:05:12,400
Speaker 1: flank is just like the anti vax flank, and then

1074
01:05:12,760 --> 01:05:16,680
Speaker 1: his second flank is like someone who tries to like

1075
01:05:16,800 --> 01:05:18,959
Speaker 1: tap into the evangelical voters who were kind of piss

1076
01:05:18,960 --> 01:05:21,240
Speaker 1: off at him, And I think I feel like I

1077
01:05:21,360 --> 01:05:23,840
Speaker 1: think Santist will probably go after that. Yeah, but but

1078
01:05:24,200 --> 01:05:27,120
Speaker 1: but but but I think I think I think he's

1079
01:05:27,160 --> 01:05:29,000
Speaker 1: going to pick someone either to show him up in

1080
01:05:29,040 --> 01:05:31,320
Speaker 1: the anti vax front, or he's going to pick some

1081
01:05:31,560 --> 01:05:36,040
Speaker 1: like like someone who every evangelical knows and who no

1082
01:05:36,120 --> 01:05:38,800
Speaker 1: one else has ever heard of. I think the latter

1083
01:05:39,000 --> 01:05:42,760
Speaker 1: is more likely with those options, or somebody from his family.

1084
01:05:43,120 --> 01:05:45,840
Speaker 1: I think he's I think he's that that would be

1085
01:05:45,960 --> 01:05:53,040
Speaker 1: really funny. Donald Trump and Donald Trump Jr. Yes, it's

1086
01:05:53,040 --> 01:05:54,840
Speaker 1: going to be now it would be Yeah, I think

1087
01:05:54,920 --> 01:05:57,640
Speaker 1: she's too woke. She's like, I think it would absolutely

1088
01:05:57,680 --> 01:06:01,439
Speaker 1: be a Banca because she's on He doesn't even out

1089
01:06:01,520 --> 01:06:05,400
Speaker 1: of respect for the rest of them, but I doesn't

1090
01:06:05,400 --> 01:06:09,040
Speaker 1: want to. That's why that's that's actually not unlikely. Like

1091
01:06:09,520 --> 01:06:11,560
Speaker 1: if he is going to pick a woman, I think

1092
01:06:11,640 --> 01:06:15,080
Speaker 1: that is actually that's who I would predict. I my

1093
01:06:15,160 --> 01:06:18,720
Speaker 1: money is still on herschel Walker. But I think that

1094
01:06:18,920 --> 01:06:21,560
Speaker 1: is that that is not a non zero chance. Or

1095
01:06:22,040 --> 01:06:25,000
Speaker 1: or he goes somebody that's not even remotely in the

1096
01:06:25,120 --> 01:06:29,000
Speaker 1: game at all. Yeah, that's that's likely. That's likable in

1097
01:06:29,280 --> 01:06:33,160
Speaker 1: you know, either a religious community or you know, somebody

1098
01:06:33,200 --> 01:06:35,320
Speaker 1: that's on TV. But it isn't somebody that's on TV

1099
01:06:35,440 --> 01:06:40,320
Speaker 1: and in your face. Um. But yeah, so like he's

1100
01:06:40,360 --> 01:06:42,720
Speaker 1: not picking like a Kimberly Gilfoil or anything like that,

1101
01:06:42,960 --> 01:06:45,840
Speaker 1: which would be so fucking awful. Oh my god, I

1102
01:06:45,920 --> 01:06:48,000
Speaker 1: thought about it. It's really bad for all of our ears.

1103
01:06:48,320 --> 01:06:52,800
Speaker 1: But yeah, so I don't know it's gonna be bad. Okay,

1104
01:06:55,040 --> 01:06:58,160
Speaker 1: Can I ask a slightly like related election take on that?

1105
01:06:58,280 --> 01:07:00,160
Speaker 1: Do do you do? You do you guys think that

1106
01:07:01,120 --> 01:07:03,720
Speaker 1: Mike Pants is going to run against Trump? No? No,

1107
01:07:04,800 --> 01:07:08,280
Speaker 1: he's making a stake about No, of course not. I

1108
01:07:08,360 --> 01:07:11,440
Speaker 1: don't think he'll actually run. I think he'll just, um,

1109
01:07:12,160 --> 01:07:15,120
Speaker 1: if there's somebody that he deems that's like, you know,

1110
01:07:15,440 --> 01:07:20,800
Speaker 1: a true Republican and a true conservative, um, then he will.

1111
01:07:21,640 --> 01:07:24,600
Speaker 1: Pence will back to ship out of that hell back.

1112
01:07:25,280 --> 01:07:26,520
Speaker 1: I feel like it's gonna be I feel like there's

1113
01:07:26,520 --> 01:07:28,960
Speaker 1: gonna be another person who's not the Santist who's gonna learn.

1114
01:07:29,000 --> 01:07:31,840
Speaker 1: I agree, there's gonna be another Prantis like that man

1115
01:07:32,160 --> 01:07:35,520
Speaker 1: on a state he has no career. Robert and I

1116
01:07:35,600 --> 01:07:37,560
Speaker 1: don't think he's going to run. We don't think he's

1117
01:07:37,560 --> 01:07:39,240
Speaker 1: going to run. We think he'll waited out for the

1118
01:07:39,320 --> 01:07:41,720
Speaker 1: next one. I think I don't think he's going to

1119
01:07:41,880 --> 01:07:45,720
Speaker 1: run if Trump is running, in particular, like especially if

1120
01:07:45,800 --> 01:07:49,040
Speaker 1: Kanye is still in the news, like it's too messy,

1121
01:07:49,120 --> 01:07:51,320
Speaker 1: and he's young enough that he doesn't need to win

1122
01:07:51,440 --> 01:07:54,840
Speaker 1: this time, and he's so unfortunately well liked in the

1123
01:07:54,880 --> 01:08:00,320
Speaker 1: state of Florida that like he yeah, he's safe there,

1124
01:08:00,600 --> 01:08:02,640
Speaker 1: but he's smart enough to know that like going up

1125
01:08:02,640 --> 01:08:05,520
Speaker 1: against Trump, even if he wins, could get enough stink

1126
01:08:05,600 --> 01:08:08,200
Speaker 1: on him that it sucks him over in the future

1127
01:08:08,280 --> 01:08:10,800
Speaker 1: as opposed to just holding on. He'll be forty six

1128
01:08:11,040 --> 01:08:15,280
Speaker 1: in which is one of the youngest, would make him

1129
01:08:15,280 --> 01:08:18,240
Speaker 1: still one of our youngest presidents. Yeah, and he can

1130
01:08:18,240 --> 01:08:22,240
Speaker 1: spend four more years just like, you know, sniping at whoever. Yeah,

1131
01:08:22,360 --> 01:08:25,679
Speaker 1: just being a real big old piece of ship murder

1132
01:08:26,000 --> 01:08:29,559
Speaker 1: giant died. Yeah. Well, I hope none of us diet

1133
01:08:29,680 --> 01:08:35,400
Speaker 1: next year. I hope us and anxiety breed works. I

1134
01:08:35,439 --> 01:08:37,240
Speaker 1: had to say it, so it's not true, you know

1135
01:08:37,280 --> 01:08:39,120
Speaker 1: what I mean, that's how my anxiety. I'm sorry I

1136
01:08:39,240 --> 01:08:42,080
Speaker 1: just had to thank you, Thank you, Sharine. I appreciate that.

1137
01:08:42,439 --> 01:08:46,960
Speaker 1: I too, I too wish that. Yeah, we've got some

1138
01:08:47,000 --> 01:08:54,840
Speaker 1: work trips planned. Don't catastrophizes no good, And I think

1139
01:08:54,920 --> 01:08:58,000
Speaker 1: I think that's will die. Twitter dot com will not

1140
01:08:58,080 --> 01:09:01,479
Speaker 1: be a website. That's a very likely in most of

1141
01:09:01,520 --> 01:09:05,120
Speaker 1: my I think there'll be a big shake up with Uh.

1142
01:09:06,000 --> 01:09:10,320
Speaker 1: There'll be a big story about healthcare and how how

1143
01:09:10,439 --> 01:09:13,120
Speaker 1: certain people are not diagnosed over other people, and it's

1144
01:09:13,160 --> 01:09:15,360
Speaker 1: going to become a huge thing, and there's gonna be

1145
01:09:15,360 --> 01:09:20,519
Speaker 1: a huge story about that at some point. There's Yeah,

1146
01:09:20,600 --> 01:09:22,920
Speaker 1: I mean that that would. There's been you know, a little,

1147
01:09:23,000 --> 01:09:25,760
Speaker 1: little little baby stories about about certain things, but I

1148
01:09:25,840 --> 01:09:30,680
Speaker 1: think it's gonna become a a global issue. Yeah, and

1149
01:09:30,840 --> 01:09:37,200
Speaker 1: more we will see more bullshit about migration than we

1150
01:09:37,280 --> 01:09:40,040
Speaker 1: have done a good climate change is getting worse. Everything

1151
01:09:40,120 --> 01:09:44,320
Speaker 1: that drives migration is getting worse, and it will continue

1152
01:09:44,400 --> 01:09:47,600
Speaker 1: to be this fucking strong man that Republicans use. So

1153
01:09:48,840 --> 01:09:51,320
Speaker 1: we're already seeing like Y two k and early two

1154
01:09:51,400 --> 01:09:56,320
Speaker 1: thousand's nostalgia. And the bizarre thing is that there's not

1155
01:09:56,880 --> 01:09:59,519
Speaker 1: much of a culture after that because around that time

1156
01:09:59,600 --> 01:10:01,320
Speaker 1: was when we is when we started to reset into

1157
01:10:01,479 --> 01:10:05,839
Speaker 1: like eighties nostalgia. So I'm wondering what the next nostalgia

1158
01:10:05,880 --> 01:10:10,000
Speaker 1: cycle is going to be. I think like like things

1159
01:10:10,040 --> 01:10:12,439
Speaker 1: like like like in Britain, like there the whole landfill

1160
01:10:12,520 --> 01:10:15,280
Speaker 1: indie culture that came around in like they're like late

1161
01:10:16,439 --> 01:10:18,840
Speaker 1: the first decade of this center. Yeah, yeah, you're right,

1162
01:10:18,920 --> 01:10:23,160
Speaker 1: you're right. Maybe like hippie seventies. I saw a video

1163
01:10:23,560 --> 01:10:30,680
Speaker 1: of of a youth, the youth trying on one of

1164
01:10:30,720 --> 01:10:35,439
Speaker 1: those cursed stretch comb Ahead bands. Stop it. Those things

1165
01:10:35,600 --> 01:10:38,719
Speaker 1: fucking hurt. You're gonna hurt yourself. You're gonna poke something.

1166
01:10:38,840 --> 01:10:44,479
Speaker 1: It's gonna be bad. They're not cute. No brack, we

1167
01:10:44,640 --> 01:10:49,120
Speaker 1: don't read that repense already back. I already keep seeing

1168
01:10:49,160 --> 01:10:58,960
Speaker 1: them and the little the little plastic Bengals back. Yes, yes, yeah, God,

1169
01:10:59,000 --> 01:11:02,599
Speaker 1: please don't bring you back. Hurt Battle New Metals coming back.

1170
01:11:03,320 --> 01:11:04,960
Speaker 1: We're gonna We're gonna do it. We're gonna we're gonna

1171
01:11:05,000 --> 01:11:06,680
Speaker 1: get New Battle, We're gonna get the we're gonna get

1172
01:11:06,720 --> 01:11:10,799
Speaker 1: early two thousand's, like goth bullshit coming back. That's already started.

1173
01:11:10,920 --> 01:11:15,080
Speaker 1: My My prediction, my prediction he's bringing it back is

1174
01:11:15,160 --> 01:11:18,920
Speaker 1: that SKA will continue to be the most relevant genre

1175
01:11:19,040 --> 01:11:23,560
Speaker 1: of music in American culture. Um, a fact unchanged for

1176
01:11:23,720 --> 01:11:30,679
Speaker 1: thirty years. Al Right, well, thanks to our predictions episode everybody, Well,

1177
01:11:30,880 --> 01:11:33,160
Speaker 1: we'll talk about We'll talk to you. We'll be back.

1178
01:11:33,360 --> 01:11:40,000
Speaker 1: You know it's shrines. Stop talking about a death. Yeah, sorry,

1179
01:11:55,200 --> 01:11:58,360
Speaker 1: things fall apart, The center will not hold in. Journalists

1180
01:11:58,400 --> 01:12:00,479
Speaker 1: will make a pretty good living writing about at all.

1181
01:12:01,040 --> 01:12:03,280
Speaker 1: It's a good time to work the dystopia beat. The

1182
01:12:03,320 --> 01:12:06,080
Speaker 1: pillars of our society have been crumbling for most of

1183
01:12:06,200 --> 01:12:10,320
Speaker 1: my adult life and probably yours too. One exception to this,

1184
01:12:10,520 --> 01:12:13,960
Speaker 1: up until recently, has been the tech industry. When the

1185
01:12:14,040 --> 01:12:16,200
Speaker 1: rest of the economy shipped the bed back in two

1186
01:12:16,280 --> 01:12:19,040
Speaker 1: thousand eight, big tech roared into the gap to prop

1187
01:12:19,120 --> 01:12:22,719
Speaker 1: up the groaning timbers of capitalism. Sure, the housing market

1188
01:12:22,800 --> 01:12:24,960
Speaker 1: was in free fall, huge numbers of people were out

1189
01:12:25,000 --> 01:12:27,960
Speaker 1: of work, and American infrastructure was crumbling like a twice

1190
01:12:28,000 --> 01:12:31,240
Speaker 1: baked pot brownie. But then Steve Jobs magicked up the

1191
01:12:31,320 --> 01:12:34,280
Speaker 1: iPhone and the iPad and the app store. Google brought

1192
01:12:34,360 --> 01:12:37,240
Speaker 1: us Android and a dizzying array of smart and connected

1193
01:12:37,280 --> 01:12:41,880
Speaker 1: devices followed. Companies like Uber disrupted massive industries and briefly

1194
01:12:42,160 --> 01:12:45,000
Speaker 1: made hailing a cab the cheapest it's ever been, although

1195
01:12:45,040 --> 01:12:47,960
Speaker 1: they did this by lighting massive piles of VC cash

1196
01:12:48,040 --> 01:12:50,880
Speaker 1: on fire. It was in this period of what would

1197
01:12:50,920 --> 01:12:53,600
Speaker 1: prove to be a rational exuberance that I started my

1198
01:12:53,720 --> 01:12:56,679
Speaker 1: career as a tech journalist. That was the job title

1199
01:12:56,800 --> 01:12:59,320
Speaker 1: my boss gave me, and it's what everybody else in

1200
01:12:59,400 --> 01:13:03,120
Speaker 1: the industry called themselves. In reality, most of us were

1201
01:13:03,200 --> 01:13:06,800
Speaker 1: just extensions of big text pr agencies. All the big

1202
01:13:06,880 --> 01:13:11,559
Speaker 1: tech news websites of that era, Slash gear In, Gadget Boy,

1203
01:13:11,720 --> 01:13:15,120
Speaker 1: Genius Review, and the place I worked for I FORU News,

1204
01:13:15,760 --> 01:13:17,800
Speaker 1: made most of their money off the back of a

1205
01:13:17,960 --> 01:13:21,960
Speaker 1: peculiarity in Google search algorithm. The gist of it was this,

1206
01:13:22,240 --> 01:13:24,720
Speaker 1: if a bunch of websites all published articles that were

1207
01:13:24,720 --> 01:13:28,400
Speaker 1: basically rewritten press releases about say a new gadget, or

1208
01:13:28,479 --> 01:13:31,839
Speaker 1: rewrites of someone else's report on rumors about an Apple product,

1209
01:13:32,320 --> 01:13:34,760
Speaker 1: Google would assume that this was a hot topic and

1210
01:13:34,840 --> 01:13:37,639
Speaker 1: they would bump everybody up on the algorithm. You could

1211
01:13:37,680 --> 01:13:40,360
Speaker 1: make a tidy profit just paying a handful of writers

1212
01:13:40,439 --> 01:13:43,479
Speaker 1: to rewrite press releases or copy reports from some of

1213
01:13:43,560 --> 01:13:46,880
Speaker 1: the few sites doing actual tech journalism. And this is

1214
01:13:46,920 --> 01:13:49,439
Speaker 1: where I got my start. In reporting. I wrote ten

1215
01:13:49,600 --> 01:13:51,960
Speaker 1: articles a day, five days a week for several years

1216
01:13:52,040 --> 01:13:54,840
Speaker 1: until Google fixed their algorithm and wiped my silly little

1217
01:13:54,880 --> 01:13:57,320
Speaker 1: industry out in the blink of an eye. It's fine.

1218
01:13:57,600 --> 01:14:00,120
Speaker 1: In this case, we kind of had it coming. It

1219
01:14:00,280 --> 01:14:02,160
Speaker 1: was nice to get paid to sit home and write,

1220
01:14:02,240 --> 01:14:04,800
Speaker 1: and the experience putting out a shipload of words every

1221
01:14:04,880 --> 01:14:07,439
Speaker 1: single day that were polished enough to print was pretty

1222
01:14:07,479 --> 01:14:10,679
Speaker 1: good for me. But it wasn't journalism, and so while

1223
01:14:10,720 --> 01:14:13,639
Speaker 1: I was doing it, I started seeking opportunities to actually

1224
01:14:13,760 --> 01:14:16,640
Speaker 1: get out into the world and do original reporting. And

1225
01:14:16,760 --> 01:14:19,400
Speaker 1: that's what first brought me to the Consumer Electronics Show

1226
01:14:19,720 --> 01:14:23,160
Speaker 1: in Las Vegas in two thousand ten c s as.

1227
01:14:23,200 --> 01:14:27,280
Speaker 1: It's known as a tech industry insider event for analysts, manufacturers,

1228
01:14:27,320 --> 01:14:30,639
Speaker 1: and media. They come and they show off new products

1229
01:14:30,680 --> 01:14:33,960
Speaker 1: and gadgets and apps, and journalists walk around and look

1230
01:14:34,000 --> 01:14:36,840
Speaker 1: at everything and then write articles about it. Companies spend

1231
01:14:36,960 --> 01:14:40,720
Speaker 1: millions of dollars every year on massive, multi acre show

1232
01:14:40,800 --> 01:14:43,800
Speaker 1: rooms for their products and dream up ludicrous demonstrations of

1233
01:14:43,840 --> 01:14:46,280
Speaker 1: their new tech. One that sticks out to me from

1234
01:14:46,320 --> 01:14:49,640
Speaker 1: again about thirteen years ago, is watching some company or

1235
01:14:49,640 --> 01:14:52,960
Speaker 1: another charge an electric car inductively that means there was

1236
01:14:53,000 --> 01:14:55,320
Speaker 1: nothing actually plugged into the vehicle. They just parked it

1237
01:14:55,680 --> 01:14:57,759
Speaker 1: like you would put your phone on an inductive charger,

1238
01:14:58,040 --> 01:15:00,720
Speaker 1: and they charged it that way. The whole process was

1239
01:15:00,840 --> 01:15:03,320
Speaker 1: so energy intensive that it dimmed the lights in the

1240
01:15:03,439 --> 01:15:06,040
Speaker 1: loss of Vegas Convention Center, which if you've never been

1241
01:15:06,080 --> 01:15:08,599
Speaker 1: inside of it, is about the size of a small city.

1242
01:15:09,439 --> 01:15:12,280
Speaker 1: The spectacle was always the best part of CS and

1243
01:15:12,400 --> 01:15:14,320
Speaker 1: with all the money pouring into big tech, it was

1244
01:15:14,400 --> 01:15:17,080
Speaker 1: a great place to be a reporter. Every big booth

1245
01:15:17,160 --> 01:15:19,960
Speaker 1: had free wet bars and piles of free swag. I

1246
01:15:20,080 --> 01:15:22,439
Speaker 1: left every year with a sack full of USB drives

1247
01:15:22,439 --> 01:15:25,120
Speaker 1: and thousands of dollars in products to test. There was

1248
01:15:25,200 --> 01:15:28,000
Speaker 1: so much goddamn money everywhere that even a dumb kid

1249
01:15:28,120 --> 01:15:32,200
Speaker 1: like me with no real connections could do okay. Collapse

1250
01:15:32,439 --> 01:15:35,320
Speaker 1: was always and has always been present at c s, however,

1251
01:15:35,760 --> 01:15:39,519
Speaker 1: looming in the background overdoomed product categories and vast tottering

1252
01:15:39,600 --> 01:15:43,000
Speaker 1: businesses that didn't realize they were already dead. I'm thinking

1253
01:15:43,080 --> 01:15:45,200
Speaker 1: primarily of r i Am the people he used to

1254
01:15:45,280 --> 01:15:49,479
Speaker 1: make blackberries here. Another good example would be Motorola in

1255
01:15:49,520 --> 01:15:52,080
Speaker 1: two thousand eleven. Their booth was one of the largest

1256
01:15:52,120 --> 01:15:55,360
Speaker 1: at c e S Now. Apple was and still is

1257
01:15:55,439 --> 01:15:57,280
Speaker 1: the biggest name on the block when it comes to

1258
01:15:57,479 --> 01:16:00,680
Speaker 1: making consumer gadgets, but they don't go to c e S,

1259
01:16:00,840 --> 01:16:04,000
Speaker 1: preferring to hold their own annual event to announce new products.

1260
01:16:04,439 --> 01:16:06,599
Speaker 1: This has always irritated the people who run the show,

1261
01:16:06,720 --> 01:16:09,200
Speaker 1: and so in the early two thousand tens, when androids

1262
01:16:09,200 --> 01:16:11,800
Speaker 1: started to blow up as a rival to Apple's iOS,

1263
01:16:12,280 --> 01:16:15,840
Speaker 1: a huge deal was made about Motorola's Droid line of phones.

1264
01:16:16,200 --> 01:16:18,760
Speaker 1: They actually had to license the name from Lucasfilm for

1265
01:16:19,160 --> 01:16:23,080
Speaker 1: obvious reasons. In two thousand ten, Motorola won the Best

1266
01:16:23,160 --> 01:16:25,840
Speaker 1: and Show award for their droid phone, despite the fact

1267
01:16:25,880 --> 01:16:28,439
Speaker 1: that they hadn't actually brought a working example of it

1268
01:16:28,600 --> 01:16:31,000
Speaker 1: to the show, something that kind of pissed me off

1269
01:16:31,080 --> 01:16:35,400
Speaker 1: at the time. Now today, Motorola is basically dead. It's

1270
01:16:35,439 --> 01:16:37,560
Speaker 1: a shadow of its former self. It's been bought and

1271
01:16:37,640 --> 01:16:41,200
Speaker 1: sold several times. His companies like Samsung and HTC beat

1272
01:16:41,200 --> 01:16:43,559
Speaker 1: the piss out of it on the open market. Other

1273
01:16:43,680 --> 01:16:46,360
Speaker 1: famous collapses from c E s has past include the

1274
01:16:46,600 --> 01:16:49,519
Speaker 1: entire three D television market. If you can remember those

1275
01:16:49,560 --> 01:16:52,160
Speaker 1: heady days after the release of the first Avatar movie,

1276
01:16:52,520 --> 01:16:54,880
Speaker 1: the tech industry, blue billions in R and D and

1277
01:16:54,920 --> 01:16:57,719
Speaker 1: ad money, trying to convince everyone that people would actually

1278
01:16:57,920 --> 01:17:00,639
Speaker 1: sit down and their actual ass living rooms and where

1279
01:17:00,680 --> 01:17:04,200
Speaker 1: fucking three D glasses to watch movies or TV. It

1280
01:17:04,360 --> 01:17:07,519
Speaker 1: was preposterous and obviously doomed. I have fond memories of

1281
01:17:07,600 --> 01:17:10,559
Speaker 1: harassing pr hacks on the show floor asking them, isn't

1282
01:17:10,600 --> 01:17:13,160
Speaker 1: this just a big con from the entertainment industry to

1283
01:17:13,240 --> 01:17:15,760
Speaker 1: make it harder for people to pirate media? Are there

1284
01:17:15,800 --> 01:17:18,720
Speaker 1: any actual signs that regular people will pay thousands of

1285
01:17:18,800 --> 01:17:21,200
Speaker 1: dollars for one of these things? At one point, a

1286
01:17:21,240 --> 01:17:23,960
Speaker 1: rep from Samsung I think, tried to show me a

1287
01:17:24,040 --> 01:17:26,880
Speaker 1: glasses free three D TV. It only worked if a

1288
01:17:26,960 --> 01:17:29,960
Speaker 1: trained professional told you precisely where to stand in order

1289
01:17:30,000 --> 01:17:32,679
Speaker 1: to view it. I laughed so hard I snorted whiskey

1290
01:17:32,760 --> 01:17:36,080
Speaker 1: and lukewarm Starbucks onto a stack of glossy product brochures.

1291
01:17:36,600 --> 01:17:39,599
Speaker 1: Despite how obviously doomed it all was, the Internet filled

1292
01:17:39,720 --> 01:17:42,760
Speaker 1: with fawning articles about all of the exciting new three

1293
01:17:42,840 --> 01:17:45,360
Speaker 1: D televisions that we're surely going to be in homes

1294
01:17:45,439 --> 01:17:48,799
Speaker 1: in the very near future. Now, because the Internet moves quickly,

1295
01:17:49,000 --> 01:17:51,400
Speaker 1: most of the websites that did tech news back then

1296
01:17:51,840 --> 01:17:54,120
Speaker 1: are dead, and the ones that remain are filled with

1297
01:17:54,200 --> 01:17:56,920
Speaker 1: busted links. But you can still find monuments to the

1298
01:17:56,960 --> 01:17:59,160
Speaker 1: failure of three D television if you know where to look.

1299
01:17:59,680 --> 01:18:02,320
Speaker 1: Take the excerpt from a PC World article on the

1300
01:18:02,400 --> 01:18:05,479
Speaker 1: best of c E s two thousand ten uh. It's

1301
01:18:05,520 --> 01:18:08,680
Speaker 1: titled the three D Revolution is here, and underneath a

1302
01:18:08,760 --> 01:18:11,160
Speaker 1: broken link to an image that is no longer available,

1303
01:18:11,439 --> 01:18:14,320
Speaker 1: is the line, I don't think it's a false start

1304
01:18:14,439 --> 01:18:16,840
Speaker 1: this time. The three D product plans for the coming

1305
01:18:16,920 --> 01:18:20,120
Speaker 1: year represent the initial salvos of the coming three D revolution.

1306
01:18:20,520 --> 01:18:23,320
Speaker 1: Panasonics three D demos were among the most convincing, but

1307
01:18:23,439 --> 01:18:26,439
Speaker 1: the best implementation I saw, unfortunately, is one that won't

1308
01:18:26,439 --> 01:18:29,400
Speaker 1: be coming to market anytime soon. Sony showed us it's

1309
01:18:29,439 --> 01:18:31,360
Speaker 1: twenty four point five in three D O L E

1310
01:18:31,479 --> 01:18:33,840
Speaker 1: D H D t V is a technology demo only

1311
01:18:35,280 --> 01:18:38,360
Speaker 1: now in retrospect, I think the hilarious failure of three

1312
01:18:38,439 --> 01:18:40,960
Speaker 1: D TV technology is actually what prepared me more than

1313
01:18:41,040 --> 01:18:44,000
Speaker 1: anything for crypto. If you actually just go over that

1314
01:18:44,120 --> 01:18:47,040
Speaker 1: paragraph I read a little earlier, you could replace the

1315
01:18:47,120 --> 01:18:49,519
Speaker 1: words referring specifically to three D t V s with

1316
01:18:49,840 --> 01:18:53,320
Speaker 1: various shit coins or blockchain related tech, and it would

1317
01:18:53,400 --> 01:18:55,920
Speaker 1: more or less work. The thing that set me off

1318
01:18:56,000 --> 01:18:58,439
Speaker 1: with crypto was how similar the claim was that, like,

1319
01:18:58,920 --> 01:19:01,400
Speaker 1: this thing is obvious, Lee legit because look at how

1320
01:19:01,439 --> 01:19:03,680
Speaker 1: many people are talking about it. It's got to be

1321
01:19:03,840 --> 01:19:06,920
Speaker 1: real now, because suddenly it's all over the news. This

1322
01:19:07,080 --> 01:19:09,599
Speaker 1: is why folks like Sam Bankman Freed bought the naming

1323
01:19:09,720 --> 01:19:12,360
Speaker 1: rights to stadiums and stuck f t X and crypto

1324
01:19:12,479 --> 01:19:15,400
Speaker 1: dot com up as publicly as they possibly could. It

1325
01:19:15,520 --> 01:19:17,800
Speaker 1: was all a con to convince casual observers that the

1326
01:19:17,880 --> 01:19:20,720
Speaker 1: crypto market was a serious thing they should invest in.

1327
01:19:21,200 --> 01:19:23,280
Speaker 1: It's one of those things that really made me think

1328
01:19:23,320 --> 01:19:26,720
Speaker 1: a lot about the role journalists play and hyping up

1329
01:19:26,800 --> 01:19:28,680
Speaker 1: nonsense like this, and you can see it in three

1330
01:19:28,760 --> 01:19:30,280
Speaker 1: D t v s and crypto in a bunch of

1331
01:19:30,360 --> 01:19:33,280
Speaker 1: other spaces. A big part of what convinces people that

1332
01:19:33,400 --> 01:19:36,320
Speaker 1: this stuff is real is suddenly they start seeing articles

1333
01:19:36,400 --> 01:19:38,920
Speaker 1: everywhere talking about it. Suddenly the press all over the

1334
01:19:38,960 --> 01:19:41,240
Speaker 1: place is talking about the price of bitcoin or talking

1335
01:19:41,320 --> 01:19:43,920
Speaker 1: about this this new thing is if it's it's going

1336
01:19:44,040 --> 01:19:47,479
Speaker 1: to actually change people's lives, and so folks who maybe

1337
01:19:47,680 --> 01:19:52,479
Speaker 1: are not super high information media consumers just assume that Okay,

1338
01:19:52,560 --> 01:19:55,160
Speaker 1: I guess this is here to stay. Um it's it's

1339
01:19:55,520 --> 01:19:58,840
Speaker 1: a danger that still exists. All of this brings me

1340
01:19:58,920 --> 01:20:02,360
Speaker 1: to c E S ME three collapse looms larger over

1341
01:20:02,400 --> 01:20:04,760
Speaker 1: the proceedings this year than in any other prior event

1342
01:20:04,800 --> 01:20:07,600
Speaker 1: I've attended. Prior to the pandemic. Attendance that c E

1343
01:20:07,800 --> 01:20:10,200
Speaker 1: S had topped out at around two hundred thousand people

1344
01:20:10,760 --> 01:20:14,200
Speaker 1: last year, though only forty thousands showed, which is probably

1345
01:20:14,280 --> 01:20:17,160
Speaker 1: still vastly too many folks to cram into hotel conference

1346
01:20:17,240 --> 01:20:19,839
Speaker 1: rooms and can see an no restaurants during a pandemic.

1347
01:20:19,960 --> 01:20:23,400
Speaker 1: And yes, c E twenty two was a super spreader event.

1348
01:20:23,680 --> 01:20:26,000
Speaker 1: Korea particularly had a problem as a result of it.

1349
01:20:26,680 --> 01:20:28,920
Speaker 1: The show itself for decades, a central event in the

1350
01:20:28,960 --> 01:20:32,040
Speaker 1: global tech industry, seems to be teetering. It is not

1351
01:20:32,200 --> 01:20:35,360
Speaker 1: alone there. The top ten big tech stocks lost a

1352
01:20:35,439 --> 01:20:39,040
Speaker 1: combined four point six trillion dollars in market cap in

1353
01:20:39,080 --> 01:20:43,120
Speaker 1: two that's significantly more than the GDP of the United

1354
01:20:43,200 --> 01:20:45,840
Speaker 1: Kingdom around three point two trillion, or the state of

1355
01:20:45,920 --> 01:20:50,400
Speaker 1: California three point six trillion at CES. The rot is

1356
01:20:50,479 --> 01:20:52,680
Speaker 1: most evident in the utter lack of any kind of

1357
01:20:52,800 --> 01:20:55,760
Speaker 1: hype beast product this year. So far, I've seen a

1358
01:20:55,840 --> 01:20:58,240
Speaker 1: flying hydrogen car, or at least I've seen three d

1359
01:20:58,360 --> 01:21:01,240
Speaker 1: renders of one. Also, it's meant for Formula one style race,

1360
01:21:01,360 --> 01:21:04,040
Speaker 1: is not actual civilian use. The guy at the booths

1361
01:21:04,080 --> 01:21:07,439
Speaker 1: somewhat angrily told me the anticipated retail price was around

1362
01:21:07,520 --> 01:21:11,240
Speaker 1: three million dollars. The MACA flying car was one of

1363
01:21:11,320 --> 01:21:14,559
Speaker 1: many products that I looked into at c S Unveiled,

1364
01:21:14,600 --> 01:21:16,439
Speaker 1: which is one of the headline events of the show.

1365
01:21:16,880 --> 01:21:20,479
Speaker 1: It's basically a bunch of manufacturers and booths showing off

1366
01:21:20,520 --> 01:21:23,200
Speaker 1: their gadgets to an audience of journalists to drink heavily

1367
01:21:23,240 --> 01:21:26,360
Speaker 1: from an open bar, walk around and prod things. In

1368
01:21:26,520 --> 01:21:30,040
Speaker 1: years past, smartphones and tablets and their consumer gadgets tended

1369
01:21:30,080 --> 01:21:32,120
Speaker 1: to be the main focus. But all that kind of

1370
01:21:32,160 --> 01:21:35,920
Speaker 1: stuff is boring as hell now the smartphone market has stabilized.

1371
01:21:36,240 --> 01:21:38,439
Speaker 1: It's just not as exciting as it used to be,

1372
01:21:38,600 --> 01:21:40,800
Speaker 1: and C e S knows it. The big hype it

1373
01:21:40,880 --> 01:21:43,840
Speaker 1: unveiled was around a mix of electronic and autonomous vehicle

1374
01:21:43,920 --> 01:21:47,560
Speaker 1: technology and virtual reality. Now at present, I'm not in

1375
01:21:47,600 --> 01:21:50,800
Speaker 1: a good position to thoroughly analyze the specific promises made

1376
01:21:50,840 --> 01:21:55,120
Speaker 1: by individual autonomous driving companies at CES. I'll just note

1377
01:21:55,200 --> 01:21:57,920
Speaker 1: that tech Crunch, normally all in for hype about this

1378
01:21:58,040 --> 01:22:01,040
Speaker 1: kind of stuff, published an article laugh st October titled

1379
01:22:01,200 --> 01:22:04,200
Speaker 1: it's time to admit self driving cars aren't going to happen.

1380
01:22:04,560 --> 01:22:07,040
Speaker 1: Here's a relevant quote. Ford announced that it would be

1381
01:22:07,040 --> 01:22:09,960
Speaker 1: winding down our Goo AI, the company backed by itself

1382
01:22:10,000 --> 01:22:13,840
Speaker 1: and fellow automaker votes Wagon, focusing on developing full Level

1383
01:22:13,880 --> 01:22:17,720
Speaker 1: four autonomous driving technologies. Ford explained their justification in doing

1384
01:22:17,800 --> 01:22:19,800
Speaker 1: so when they release their Q three earnings a few

1385
01:22:19,880 --> 01:22:22,479
Speaker 1: hours later, noting that not only were they shutting down

1386
01:22:22,520 --> 01:22:25,320
Speaker 1: our Go, but they were also essentially deep prioritizing L

1387
01:22:25,400 --> 01:22:29,360
Speaker 1: four technologies altogether to instead focus on advanced driver assistance

1388
01:22:29,400 --> 01:22:33,360
Speaker 1: systems with internal resources. Ford CEO Jim Farley justified this

1389
01:22:33,439 --> 01:22:36,160
Speaker 1: by saying on the company's earnings call Wednesday evening that

1390
01:22:36,280 --> 01:22:39,360
Speaker 1: profitable fully autonomous vehicles at scale are a long way off,

1391
01:22:39,439 --> 01:22:41,960
Speaker 1: and we won't necessarily have to create that technology for

1392
01:22:42,080 --> 01:22:46,360
Speaker 1: ourselves now. Obviously, autonomous technology will of course have niche

1393
01:22:46,600 --> 01:22:50,519
Speaker 1: applications automating transport of heavy loads at job sites and

1394
01:22:50,600 --> 01:22:53,840
Speaker 1: minds where routes are predictable and controlled, but mass adoption

1395
01:22:53,960 --> 01:22:58,040
Speaker 1: of full level four autonomous driving technologies at present a fantasy.

1396
01:22:58,520 --> 01:23:00,320
Speaker 1: The same is true for one of the other major

1397
01:23:00,400 --> 01:23:06,240
Speaker 1: product categories at CS unveiled, virtual reality metaverse nonsense. The

1398
01:23:06,320 --> 01:23:09,679
Speaker 1: fact that Facebook let fifteen billion dollars on fire last

1399
01:23:09,760 --> 01:23:13,599
Speaker 1: year chasing Mark Zuckerberg's metaverse dreams has convinced some people

1400
01:23:13,680 --> 01:23:16,519
Speaker 1: that the idea is inevitable. This excerpt from a market

1401
01:23:16,560 --> 01:23:19,560
Speaker 1: Watch article published during c e S is representative. You

1402
01:23:19,640 --> 01:23:22,040
Speaker 1: can see the same thought process that led people astray

1403
01:23:22,120 --> 01:23:24,920
Speaker 1: with three D TVs and crypto. In the long run,

1404
01:23:25,000 --> 01:23:27,400
Speaker 1: the metaverse will be a major substitute for in person

1405
01:23:27,479 --> 01:23:31,519
Speaker 1: conventions like c e S, said June Nichigucchi, CEO of Tararu,

1406
01:23:31,640 --> 01:23:35,040
Speaker 1: a Japanese company developing its own metaverse. So one of

1407
01:23:35,120 --> 01:23:37,840
Speaker 1: the barriers to any kind of popular metaverse is the

1408
01:23:37,880 --> 01:23:41,000
Speaker 1: fact that VR is actually not as immersive as it

1409
01:23:41,120 --> 01:23:43,840
Speaker 1: needs to be. The technology does a pretty impressive job

1410
01:23:43,880 --> 01:23:46,840
Speaker 1: of convincing your eyes that you are in fact somewhere else,

1411
01:23:46,920 --> 01:23:49,280
Speaker 1: and this is pretty neat, but the rest of your

1412
01:23:49,320 --> 01:23:52,960
Speaker 1: body is inevitably standing or sitting awkwardly in a room somewhere.

1413
01:23:53,560 --> 01:23:56,519
Speaker 1: This has led to a whole host of products that

1414
01:23:56,600 --> 01:23:59,760
Speaker 1: are in development right now that attempt to engage the

1415
01:24:00,000 --> 01:24:02,679
Speaker 1: most of your body and basically trick it into believing

1416
01:24:02,720 --> 01:24:05,240
Speaker 1: that you're somewhere else. I tried two products at c

1417
01:24:05,320 --> 01:24:07,679
Speaker 1: e S that were meant to do this. The first

1418
01:24:07,880 --> 01:24:11,360
Speaker 1: was the tax Suit X from b Haptics. It uses

1419
01:24:11,400 --> 01:24:14,040
Speaker 1: haptic feedback technology, which is the stuff that makes your

1420
01:24:14,040 --> 01:24:16,320
Speaker 1: phone buzz when you press a button on your touch screen.

1421
01:24:16,880 --> 01:24:19,720
Speaker 1: Companies like b Haptics hope to use advanced versions of

1422
01:24:19,800 --> 01:24:22,880
Speaker 1: the tech to mimic physical sensation. This would make the

1423
01:24:22,920 --> 01:24:26,120
Speaker 1: metaverse feel much less awkward and associated, and also provide

1424
01:24:26,120 --> 01:24:28,800
Speaker 1: a whole new market for online sex workers. There are

1425
01:24:28,920 --> 01:24:30,720
Speaker 1: several of these suits at c S, and all of

1426
01:24:30,800 --> 01:24:33,479
Speaker 1: them seem to have won Innovation Awards, or at least

1427
01:24:33,760 --> 01:24:37,160
Speaker 1: their honorees and the CS Innovation Awards, which is a

1428
01:24:37,280 --> 01:24:40,439
Speaker 1: thing that basically anyone seems to get if they make

1429
01:24:40,520 --> 01:24:42,920
Speaker 1: something expensive enough and bring it to the show. To

1430
01:24:43,040 --> 01:24:46,000
Speaker 1: be frank, I think these suits are bullshit. The one

1431
01:24:46,160 --> 01:24:48,519
Speaker 1: slightly cool thing about the tax suit is that the

1432
01:24:48,640 --> 01:24:51,680
Speaker 1: gloves it had like gloves and a feat component. Um

1433
01:24:51,760 --> 01:24:53,920
Speaker 1: I was able to test the gloves and the actual

1434
01:24:54,040 --> 01:24:57,000
Speaker 1: chest suit thing. The gloves do a pretty okay, job

1435
01:24:57,080 --> 01:25:00,959
Speaker 1: of emulating a physical keyboard, or at least small keyboard

1436
01:25:01,000 --> 01:25:04,040
Speaker 1: on like a smartphone style device. Now that is not

1437
01:25:04,160 --> 01:25:06,200
Speaker 1: a cool enough thing for someone to pay hundreds of

1438
01:25:06,280 --> 01:25:08,799
Speaker 1: dollars and deal with the hassle of wearing heavy battery

1439
01:25:08,840 --> 01:25:12,360
Speaker 1: powered gloves every day. The b haptics folks eagerly showed

1440
01:25:12,400 --> 01:25:15,080
Speaker 1: me how their suit could simulate hugging and touching another

1441
01:25:15,160 --> 01:25:17,240
Speaker 1: human being in VR, and this seemed to be the

1442
01:25:17,360 --> 01:25:19,639
Speaker 1: major selling point they saw for what they were bringing

1443
01:25:19,680 --> 01:25:22,240
Speaker 1: to the table. I actually tried all this and it

1444
01:25:22,400 --> 01:25:26,000
Speaker 1: was among the saddest experiences of my life. Hugging someone

1445
01:25:26,080 --> 01:25:28,600
Speaker 1: in a haptic suit through VR feels like having a

1446
01:25:28,760 --> 01:25:32,040
Speaker 1: dozen or so in sixty four rumble packs activate up

1447
01:25:32,080 --> 01:25:35,679
Speaker 1: your chest in arms. If you touch a virtual person's shoulder,

1448
01:25:35,800 --> 01:25:39,240
Speaker 1: your hand will buzz and vibrate. Now, buzzing and vibrating

1449
01:25:39,360 --> 01:25:42,840
Speaker 1: are not sensations I attribute to physical intimacy with a

1450
01:25:43,000 --> 01:25:46,280
Speaker 1: physical person. I actually found this attempt at mimicking the

1451
01:25:46,360 --> 01:25:49,280
Speaker 1: sensation of human contact much more disturbing than the lack

1452
01:25:49,400 --> 01:25:53,080
Speaker 1: of contact in most VR experiences. The tech industry has

1453
01:25:53,080 --> 01:25:55,640
Speaker 1: also penned a lot of hopes on augmented reality I

1454
01:25:55,680 --> 01:25:58,120
Speaker 1: think this is closer to being realistic, but there are

1455
01:25:58,160 --> 01:26:00,639
Speaker 1: still a metric fun ton of vape are wearing snake

1456
01:26:00,720 --> 01:26:05,240
Speaker 1: oil products often marketed as increasing accessibility. One example would

1457
01:26:05,240 --> 01:26:07,679
Speaker 1: be the Luvic. This is a device you wear around

1458
01:26:07,720 --> 01:26:10,000
Speaker 1: your neck. It's roughly the size of a pair of headphones.

1459
01:26:10,360 --> 01:26:12,400
Speaker 1: It's supposed to buzz on one side or the other

1460
01:26:12,439 --> 01:26:14,320
Speaker 1: of your body to let you know when to turn,

1461
01:26:14,600 --> 01:26:18,400
Speaker 1: all the while delivering audio map directions for you. Luvic's

1462
01:26:18,439 --> 01:26:21,200
Speaker 1: press materials highlight what a win this is for accessibility,

1463
01:26:21,520 --> 01:26:24,679
Speaker 1: saying Luvic is a device designed to solve the challenges

1464
01:26:24,720 --> 01:26:27,240
Speaker 1: of those who have difficulty with spatial cognition. It is

1465
01:26:27,280 --> 01:26:30,000
Speaker 1: an IoT Internet of Things device that is one around

1466
01:26:30,040 --> 01:26:33,040
Speaker 1: your neck and uses tactile notifications and bone conduction voice

1467
01:26:33,080 --> 01:26:36,120
Speaker 1: to guide the user along the way naturally. Now this

1468
01:26:36,280 --> 01:26:38,519
Speaker 1: tech does identify a real need, but I'm sorry to

1469
01:26:38,560 --> 01:26:40,960
Speaker 1: say it does not work at all. I tried this thing.

1470
01:26:41,080 --> 01:26:43,160
Speaker 1: Luvic's people put it on me and ran through a

1471
01:26:43,240 --> 01:26:45,599
Speaker 1: walking root of New York City. I couldn't tell which

1472
01:26:45,640 --> 01:26:48,280
Speaker 1: side of my body was being buzzed, so that was useless.

1473
01:26:48,320 --> 01:26:50,280
Speaker 1: It just felt like a smartphone was ringing on the

1474
01:26:50,320 --> 01:26:52,800
Speaker 1: back of my neck and the speakers weren't loud enough

1475
01:26:52,840 --> 01:26:55,679
Speaker 1: to hear directions. Now, when I mentioned this, the Luvic

1476
01:26:55,720 --> 01:26:57,840
Speaker 1: people told me, well, there's too much noise in the

1477
01:26:57,920 --> 01:27:00,200
Speaker 1: conference room for you to hear it, of course, New

1478
01:27:00,280 --> 01:27:03,439
Speaker 1: York City being famously quiet. And then there's the stuff

1479
01:27:03,479 --> 01:27:05,960
Speaker 1: that I suspect was just outright snake oil rather than

1480
01:27:06,000 --> 01:27:09,280
Speaker 1: being broken like the Luvic. This is probably best embodied

1481
01:27:09,360 --> 01:27:12,320
Speaker 1: by the electric circlet I saw there that's supposed to

1482
01:27:12,400 --> 01:27:15,240
Speaker 1: stimulate your brain to reduce your stress while you sleep.

1483
01:27:15,600 --> 01:27:17,800
Speaker 1: Uh they advertised. I think the number was eight percent

1484
01:27:17,920 --> 01:27:20,840
Speaker 1: reduction and stress while you sleep. This is not a product.

1485
01:27:20,880 --> 01:27:22,840
Speaker 1: I feel the need to review some claims they're not

1486
01:27:22,960 --> 01:27:26,519
Speaker 1: worth taking seriously, and this is one of them. So far,

1487
01:27:26,680 --> 01:27:29,240
Speaker 1: I've seen little at c S that struck me as

1488
01:27:29,320 --> 01:27:32,040
Speaker 1: likely to be a massive financial success. But there were

1489
01:27:32,160 --> 01:27:36,960
Speaker 1: some potentially groundbreaking products on display. Unfortunately, nearly all of

1490
01:27:37,040 --> 01:27:39,320
Speaker 1: these were in the realm of health and medical technology.

1491
01:27:39,920 --> 01:27:42,439
Speaker 1: Let me explain why this is troubling with an example

1492
01:27:42,479 --> 01:27:46,120
Speaker 1: from the show. The most potentially influential device I saw

1493
01:27:46,200 --> 01:27:49,320
Speaker 1: there was called Viral worn by Optive. It is a

1494
01:27:49,400 --> 01:27:52,200
Speaker 1: multiple use breath analyzer self test that will tell you

1495
01:27:52,280 --> 01:27:54,880
Speaker 1: if you are positive for COVID nineteen r s V

1496
01:27:55,320 --> 01:27:58,200
Speaker 1: or influenza. UM. It just lights up if you're positive

1497
01:27:58,240 --> 01:27:59,920
Speaker 1: for one of them. They promised that in the few

1498
01:28:00,000 --> 01:28:01,679
Speaker 1: true it will tell you what you have. But then

1499
01:28:01,800 --> 01:28:03,599
Speaker 1: that's still useful, right, still a hell of a lot

1500
01:28:03,640 --> 01:28:06,240
Speaker 1: better than anything we've got right now. Rather than sticking

1501
01:28:06,280 --> 01:28:08,200
Speaker 1: a thing up your nose, you just blow into this

1502
01:28:08,320 --> 01:28:10,600
Speaker 1: thing like a breathalyzer. It's about the size of a

1503
01:28:10,720 --> 01:28:12,559
Speaker 1: key fob, and you can charge it with a normal

1504
01:28:12,720 --> 01:28:15,679
Speaker 1: USB cable. It can be used dozens of times before

1505
01:28:15,760 --> 01:28:19,679
Speaker 1: being reloaded. Optive's rough price point is around a hundred dollars.

1506
01:28:20,160 --> 01:28:21,880
Speaker 1: If this thing works the way they say it does,

1507
01:28:22,120 --> 01:28:24,280
Speaker 1: I cannot exaggerate what a big deal it would be.

1508
01:28:24,600 --> 01:28:26,920
Speaker 1: Imagine being able to blow into a little device and

1509
01:28:27,000 --> 01:28:29,080
Speaker 1: know in a couple of seconds if you're safe before

1510
01:28:29,120 --> 01:28:31,320
Speaker 1: you go into a store or a bar or a party,

1511
01:28:31,840 --> 01:28:34,240
Speaker 1: go see you know, an elderly relative for a birthday.

1512
01:28:34,600 --> 01:28:37,360
Speaker 1: Lives could be saved by this thing if it works.

1513
01:28:37,920 --> 01:28:40,400
Speaker 1: And to their credit, the good folks Adoptive immediately told

1514
01:28:40,439 --> 01:28:42,320
Speaker 1: me that this was not on sale yet, as it

1515
01:28:42,400 --> 01:28:45,080
Speaker 1: was still waiting for FDA approval. I take this as

1516
01:28:45,120 --> 01:28:47,360
Speaker 1: a good side and I sincerely hope it works as

1517
01:28:47,400 --> 01:28:50,320
Speaker 1: well as advertised. But products like this do present a

1518
01:28:50,400 --> 01:28:52,720
Speaker 1: problem for the tech press. When I'm at a show

1519
01:28:52,800 --> 01:28:55,960
Speaker 1: like ce S, it's generally easy to determine if something

1520
01:28:56,040 --> 01:28:58,200
Speaker 1: has promise. If I step into a booth for a

1521
01:28:58,280 --> 01:29:02,200
Speaker 1: company advertising rugged speaker, well, I can drop those speakers

1522
01:29:02,280 --> 01:29:04,519
Speaker 1: from a height. I can drop stuff onto them, I

1523
01:29:04,600 --> 01:29:07,840
Speaker 1: can throw them. I can test if they're rugged because

1524
01:29:07,880 --> 01:29:09,679
Speaker 1: I can try to break them, and if I can't,

1525
01:29:09,920 --> 01:29:12,439
Speaker 1: then they're rugged. Likewise, I can strap on a VR

1526
01:29:12,520 --> 01:29:13,960
Speaker 1: suit and I can tell you if it makes the

1527
01:29:14,040 --> 01:29:17,479
Speaker 1: experience more immersive. Neither I nor any other members of

1528
01:29:17,560 --> 01:29:20,720
Speaker 1: the press can tell you how well a medical diagnostic

1529
01:29:20,800 --> 01:29:23,920
Speaker 1: device works in the same manner. This isn't anyone's fault,

1530
01:29:23,960 --> 01:29:26,720
Speaker 1: but as connected tech and AI are included in more

1531
01:29:26,800 --> 01:29:30,600
Speaker 1: healthcare devices, the potential for snake oil and for dangerous

1532
01:29:30,640 --> 01:29:35,360
Speaker 1: failures to generate mass hype increases exponentially. I want to

1533
01:29:35,400 --> 01:29:37,240
Speaker 1: be clear that the medical devices I have seen so

1534
01:29:37,360 --> 01:29:39,280
Speaker 1: far at c e S do not strike me as

1535
01:29:39,320 --> 01:29:42,640
Speaker 1: suspicious in any way. Company representatives were extremely good at

1536
01:29:42,680 --> 01:29:45,439
Speaker 1: explaining what stage in the FDA approval process they were

1537
01:29:45,479 --> 01:29:48,559
Speaker 1: at and I saw some really cool shit. My favorite

1538
01:29:48,600 --> 01:29:51,080
Speaker 1: was probably a new streamlined a E D from Life

1539
01:29:51,160 --> 01:29:53,759
Speaker 1: a Z at a thousand dollars or thirty five dollars

1540
01:29:53,800 --> 01:29:55,559
Speaker 1: a month with a four to five years shelf life.

1541
01:29:55,920 --> 01:29:58,840
Speaker 1: This thing makes having a defibrillator on hand affordable for

1542
01:29:59,000 --> 01:30:01,960
Speaker 1: regular people. It's extremely light and small and can be

1543
01:30:02,040 --> 01:30:04,639
Speaker 1: easily carried in a backpack. I do have a little

1544
01:30:04,640 --> 01:30:06,360
Speaker 1: bit of medical training, and I tried this thing out

1545
01:30:06,439 --> 01:30:08,720
Speaker 1: on a dummy and test mode. I can confirm it

1546
01:30:08,800 --> 01:30:11,280
Speaker 1: appears to work like any other more expensive a D.

1547
01:30:11,840 --> 01:30:14,240
Speaker 1: The device is still awaiting FDA approval, but it has

1548
01:30:14,280 --> 01:30:16,519
Speaker 1: been approved and as being sold in France and Germany,

1549
01:30:16,600 --> 01:30:18,920
Speaker 1: so I feel pretty good saying this thing probably works

1550
01:30:18,960 --> 01:30:21,200
Speaker 1: the way Life a Z says it does. And then

1551
01:30:21,240 --> 01:30:23,760
Speaker 1: there's my favorite product from c E s unveiled, the

1552
01:30:23,840 --> 01:30:27,240
Speaker 1: nan she domestic violence app from ath Bash, which is

1553
01:30:27,280 --> 01:30:30,000
Speaker 1: a French company. This was first suggested to me via

1554
01:30:30,080 --> 01:30:32,719
Speaker 1: one of the most awkward pr emails I've ever received.

1555
01:30:33,240 --> 01:30:38,920
Speaker 1: Forward Media Alert Groundbreaking domestic Violence reporting app launching at CREE,

1556
01:30:39,600 --> 01:30:41,800
Speaker 1: and when I got it in my email, it just

1557
01:30:41,920 --> 01:30:47,519
Speaker 1: said forward Media Alert Groundbreaking Domestic Violence which fun thing

1558
01:30:47,560 --> 01:30:49,840
Speaker 1: to get in your inbox. In fairness to their very

1559
01:30:49,960 --> 01:30:52,439
Speaker 1: nice pr lady, there's probably not a non awkward way

1560
01:30:52,479 --> 01:30:54,680
Speaker 1: to title an email about this kind of thing. The

1561
01:30:54,760 --> 01:30:57,479
Speaker 1: app itself is really innovative, though. It provides you with

1562
01:30:57,560 --> 01:31:01,400
Speaker 1: options to record voice or video, to take photos of documents,

1563
01:31:01,520 --> 01:31:05,080
Speaker 1: or to photographically document your own injuries. All the data

1564
01:31:05,160 --> 01:31:07,639
Speaker 1: that you save is stored off site, so you take

1565
01:31:07,680 --> 01:31:10,479
Speaker 1: a picture your record audio and it's immediately off the

1566
01:31:10,560 --> 01:31:13,760
Speaker 1: phone and off the app. You actually can't access it

1567
01:31:13,880 --> 01:31:17,120
Speaker 1: without contacting the company directly to get it. All of

1568
01:31:17,200 --> 01:31:19,360
Speaker 1: it is stored on the cloud, and it's also on

1569
01:31:19,439 --> 01:31:22,920
Speaker 1: the blockchain, which is used to verify data integrity, making

1570
01:31:23,000 --> 01:31:26,040
Speaker 1: this probably the first blockchain related product I've ever heard

1571
01:31:26,080 --> 01:31:29,160
Speaker 1: of with a realistic use case. Nancy seems to be

1572
01:31:29,240 --> 01:31:31,559
Speaker 1: pretty well thought out from the top to bottom. Once

1573
01:31:31,600 --> 01:31:33,840
Speaker 1: you start recording, you can swipe away from the app

1574
01:31:33,920 --> 01:31:36,519
Speaker 1: and it will keep recording without being visible anywhere on

1575
01:31:36,640 --> 01:31:39,240
Speaker 1: your phone. So if you're in a fight with a

1576
01:31:39,280 --> 01:31:41,519
Speaker 1: domestic abuser and they take your phone away, they will

1577
01:31:41,560 --> 01:31:43,799
Speaker 1: not see that you're recording, but it will keep recording.

1578
01:31:44,280 --> 01:31:46,560
Speaker 1: You can also change the logo and name that the

1579
01:31:46,600 --> 01:31:49,280
Speaker 1: app displays itself under on your phone so that it

1580
01:31:49,320 --> 01:31:51,559
Speaker 1: won't say that you have Nancy anywhere. You can make

1581
01:31:51,600 --> 01:31:54,479
Speaker 1: it look like basically anything you want. It really does

1582
01:31:54,560 --> 01:31:56,240
Speaker 1: seem like they've thought this through and it's about the

1583
01:31:56,320 --> 01:31:59,000
Speaker 1: best version of this kind of thing that's possible. There's

1584
01:31:59,040 --> 01:32:02,400
Speaker 1: more oficular note at the show was an unpowered mechanical

1585
01:32:02,479 --> 01:32:05,200
Speaker 1: exoskeleton I got to try on. It doesn't increase your

1586
01:32:05,240 --> 01:32:08,000
Speaker 1: physical strength, but it does allow you to sit while standing.

1587
01:32:08,479 --> 01:32:11,080
Speaker 1: The manufacturer, are Kellis, sees this as a way to

1588
01:32:11,200 --> 01:32:14,160
Speaker 1: let workers stand on factory production lines and in retail

1589
01:32:14,240 --> 01:32:17,919
Speaker 1: stores all day long without straining themselves. I feel profoundly

1590
01:32:18,000 --> 01:32:21,240
Speaker 1: mixed about this product, more so than anything else at CES.

1591
01:32:21,760 --> 01:32:23,840
Speaker 1: On one hand, it it works really well. I got

1592
01:32:23,920 --> 01:32:25,920
Speaker 1: to try it on, and it's kind of a marvel.

1593
01:32:26,000 --> 01:32:28,960
Speaker 1: On the mechanical level, you can still walk perfectly well

1594
01:32:29,040 --> 01:32:31,080
Speaker 1: with it on, but you can just kind of sit

1595
01:32:31,160 --> 01:32:34,360
Speaker 1: at any point going limp and it's actually really comfortable.

1596
01:32:34,720 --> 01:32:37,000
Speaker 1: On the other hand, it costs three thousand dollars, which

1597
01:32:37,080 --> 01:32:39,800
Speaker 1: means very few retail workers are ever going to see one.

1598
01:32:40,280 --> 01:32:42,439
Speaker 1: So far, it's primary use in the real world has

1599
01:32:42,439 --> 01:32:45,000
Speaker 1: been helping to keep auto workers comfortable while they shot

1600
01:32:45,040 --> 01:32:47,000
Speaker 1: gun more cars out into a world with far too

1601
01:32:47,080 --> 01:32:49,599
Speaker 1: many of them. It's all very emblematic of the way

1602
01:32:49,680 --> 01:32:53,120
Speaker 1: CS makes me feel these days. Inside the roiling sea

1603
01:32:53,160 --> 01:32:56,200
Speaker 1: of snake oil and broken ship. Are some really cool ideas,

1604
01:32:56,400 --> 01:32:58,599
Speaker 1: but they're all wedded to an industry that has mostly

1605
01:32:58,760 --> 01:33:01,920
Speaker 1: forgotten how to do any thing new. Over the coming days,

1606
01:33:01,960 --> 01:33:04,360
Speaker 1: I'm going to look at a new smartphone from Samsung.

1607
01:33:04,560 --> 01:33:08,240
Speaker 1: It rolls up, I guess, check out more VR happtick devices,

1608
01:33:08,400 --> 01:33:10,640
Speaker 1: none of which I expect to work very well, and

1609
01:33:10,760 --> 01:33:13,000
Speaker 1: I will hopefully get to lift some heavy weights wearing

1610
01:33:13,040 --> 01:33:16,280
Speaker 1: a powered Exo skeleton. That one I'm actually looking forward to.

1611
01:33:16,840 --> 01:33:19,559
Speaker 1: I am open to the possibility of finding stuff that's

1612
01:33:19,600 --> 01:33:21,960
Speaker 1: cool here, but at the end of the day, nothing

1613
01:33:22,000 --> 01:33:24,280
Speaker 1: I've seen, anything I'm likely to see, has changed my

1614
01:33:24,439 --> 01:33:28,240
Speaker 1: overall impression of where the tech industry is today. It's

1615
01:33:28,240 --> 01:33:35,760
Speaker 1: a big, bloated monster slowly bleeding out before our eyes. Hey,

1616
01:33:35,920 --> 01:33:39,000
Speaker 1: We'll be back Monday with more episodes every week from

1617
01:33:39,040 --> 01:33:41,880
Speaker 1: now until the heat death of the universe. It could happen.

1618
01:33:41,920 --> 01:33:44,240
Speaker 1: Here is a production of cool Zone Media. For more

1619
01:33:44,280 --> 01:33:47,360
Speaker 1: podcasts from cool Zone Media, visit our website cool Zone Media.

1620
01:33:47,439 --> 01:33:49,240
Speaker 1: Dot com or check us out on the I Heart

1621
01:33:49,320 --> 01:33:52,280
Speaker 1: Radio app, Apple podcasts, or wherever you listen to podcasts,

1622
01:33:52,720 --> 01:33:54,839
Speaker 1: you can find sources for It could happen here, Updated

1623
01:33:54,920 --> 01:33:58,360
Speaker 1: monthly at cool Zone media dot com, slash sources. Thanks

1624
01:33:58,400 --> 01:33:58,880
Speaker 1: for listening.