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

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Speaker 1: Radio Well ever together everything, So don't don't don't Hello

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Speaker 1: America and other nations on the globe Earth? What is that?

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Speaker 1: How are we we are in the year? It is

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Speaker 1: the worst year, but it's not a great year ever. No,

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Speaker 1: it's not. It's not the greatest year ever. But maybe

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Speaker 1: it is for you personally, if you're listening. And if

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Speaker 1: I hope so, I hope schule like Peter Teal or

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Speaker 1: somebody you know. Well, yeah, why is his name spelled

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Speaker 1: like that? That's your issue with Peter deal. I was

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Speaker 1: reading every time I see his name, I read it wrong,

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Speaker 1: even though I know what his name is. So style

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Speaker 1: feel blood coursing through his veins. Um, hey, hi guys,

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Speaker 1: we just caught up for a while before we started recording.

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Speaker 1: But at this point in the episode, I want to

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Speaker 1: ask you, how are you doing and how is your Thanksgiving?

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Speaker 1: Because our listeners don't know Cody, you're super open about

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Speaker 1: all of your private life. Give them details with the

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Speaker 1: happenings of my personal life. Um, I like there being

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Speaker 1: no dividing line between me recording my thoughts and me

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Speaker 1: living my life. Hello, it was fine. I went to

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Speaker 1: meet some of my girlfriend's family. Um, and uh that

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Speaker 1: was nice and pleasant, and we ate and then eventually

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Speaker 1: we left cool, nice and that is That is the

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Speaker 1: end of my very detailed Robert. Robert got drunk and

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Speaker 1: um cooked an alligator. I did. I did get drunk

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Speaker 1: and cooked cooked gator. Well, I cooked a gator in

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Speaker 1: the proper way to cook that animal, and in the

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Speaker 1: method that I was using, which was a pit fire.

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Speaker 1: Is to drink heavily and measure the passage of time

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Speaker 1: by how many drinks you've had. And by the time

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Speaker 1: you've blacked out and people have to fight you in

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Speaker 1: order to remove the gator from the fire, the gator

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Speaker 1: is probably properly cooked. And in this I think your

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Speaker 1: next book should be like a cookbook. I would have

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Speaker 1: one meal on it and it's thrown in a hole.

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Speaker 1: But like most of the recipe, most of the recipe

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Speaker 1: is your adventure during the day as you're getting drunk.

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Speaker 1: Do you know what I mean. It's not really a cookbook,

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Speaker 1: It's just a story cooking experience. UM, My Thanksgiving was nice,

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Speaker 1: Thank you. I talked about how grateful I was for

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Speaker 1: friends like you. That's nice and yeah, definitely true, definitely

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Speaker 1: a true thing. Um. Should we talk about some news perhaps?

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Speaker 1: I mean, I don't know if Katie, Katie, we should Well,

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Speaker 1: I guess we'll start with the story that you most

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Speaker 1: wanted to talk about this week, because the story I

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Speaker 1: want to talk about very selfish about. Nope, nope, nope. Wait,

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Speaker 1: hold up, this isn't the story that I most wanted

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Speaker 1: to talk about this week. I think that we do

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Speaker 1: need to talk about it. I have another story that

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Speaker 1: I most wanted to talk about and that I actually

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Speaker 1: prepped to talk about. Um, this way I imagined would

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Speaker 1: be a conversation. But Sophie wanted us to talk about

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Speaker 1: this first, and she's probably correct. Okay, well whatever, she

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Speaker 1: is probably correct. Three men were convicted of murder last

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Speaker 1: Wednesday in the killing of Ahmad are very um, and

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Speaker 1: all three of them are facing a mandatory life sentence

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Speaker 1: in prison. Um, although we'll see, uh, you know, they're

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Speaker 1: going to appeal it. Already. Have talked about this, um,

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Speaker 1: and it's good, right, it's good. This is a good thing. Yeah.

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Speaker 1: I mean, it's like the only reason I wasn't. There's

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Speaker 1: not a whole lot to say about it. It's um, Yeah,

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Speaker 1: it's the I think minimum you can expect when a

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Speaker 1: man is lynched. Uh, yeah, that's that's, that's what it is.

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Speaker 1: And I'm glad that they didn't get off because that

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Speaker 1: would have been a much more dangerous precedent, I think

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Speaker 1: than anything that could have come out of the written

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Speaker 1: house case. In a lot of ways. Absolutely, but yeah,

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Speaker 1: I mean it's it's the thing happened that is not

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Speaker 1: the worst thing that could have happened. So good. There

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Speaker 1: are some bigger conversations within it, though, Um. Part of

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Speaker 1: it is the way that the trial went out and

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Speaker 1: the the tactics. So obviously this is a trial about race.

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Speaker 1: There's you appropriately describe it as an ching because that's

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Speaker 1: what it was, but that's not what was on trial

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Speaker 1: necessarily within this and there was a lot of criticism

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Speaker 1: throughout it, um, but ultimately it paid off. You know,

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Speaker 1: I was listening to interviews and reading things, you know,

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Speaker 1: and and it was a majority white jury, and I

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Speaker 1: think there was a case of the prosecution didn't necessarily

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Speaker 1: want to antagonize the mostly white jury, and so you know,

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Speaker 1: that wasn't necessarily the specific angle. I mean, it was,

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Speaker 1: but it was just a bit coded, you know, UM,

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Speaker 1: and it worked, But there's something in me that's like,

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Speaker 1: I you know, and I know that the federal trial

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Speaker 1: will will focus more about the specific specificity of it

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Speaker 1: being a hate crime. So there is that UM treating

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Speaker 1: the delicate jury with their little kid gloves. Yeah, and like,

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Speaker 1: I don't know, you guys see this the d A,

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Speaker 1: the defense closing statements. I believe they described they described

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Speaker 1: him as having dirty feet. Um, you know. And again

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Speaker 1: it's what makes my I mean, there's so so much

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Speaker 1: about this, it's awful, but she literally said that that's

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Speaker 1: unpopular to say, but I'm proud to say it, or

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Speaker 1: something to that effect. It's not like there's stuff to

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Speaker 1: unpack here, but I do feel it's important to address

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Speaker 1: that thing that is happening. That it's happening, it's continues

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Speaker 1: to happen. What what worked, what didn't? How depressing that

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Speaker 1: fucking is like that even in this this this trial

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Speaker 1: of I hate crying, we're not talking about um race.

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Speaker 1: Even in Kyle Rittenhouse's trial, we're not talking about the

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Speaker 1: fact that the why as to why he was there,

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Speaker 1: who he felt needed to be protected, and who didn't.

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Speaker 1: You know, it's just um buildings needed to be yes,

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Speaker 1: what needed to be protected, but yeah, yeah, I mean

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Speaker 1: it's I don't know. I don't know what to say

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Speaker 1: on these cases. I I don't think there's any real

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Speaker 1: solution through the legal system to this kind of thing.

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Speaker 1: Uh So, I don't know. That is the most I

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Speaker 1: can say is that like, yeah, this, this isn't the

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Speaker 1: worst thing that could have happened, so good. Yeah. Um.

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Speaker 1: A lot of these I mean a lot of these

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Speaker 1: trials are sort of like the public like aspects of

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Speaker 1: the public, like making seeing if they have permission, yeah,

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Speaker 1: do things. And I guess it's good that we were like,

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Speaker 1: well not in this case. This is a little much,

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Speaker 1: So okay, adjust your behavior slightly. I guess I would

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Speaker 1: like to be able to call it what it is

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Speaker 1: in the trial that everybody's watching. I would like that.

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Speaker 1: I would like us to be living in a world

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Speaker 1: where you're not treating the white jury with more respect

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Speaker 1: than the person who was murdered. You know, there was

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Speaker 1: this whole thing. I I don't know the specifics of it,

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Speaker 1: but there was this whole piece of evidence that they

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Speaker 1: didn't bring up. It was something to do with their

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Speaker 1: license plate holder um that would help present the case

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Speaker 1: that it was racially motivated. Um, but they didn't because

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Speaker 1: there's a good chance that some of the jurors had

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Speaker 1: that same license plate, you know. Yeah, what was the

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Speaker 1: conferate is a Confederate flag plate. Yeah, that makes sense.

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Speaker 1: It's the kind of thing that like racist habit and

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Speaker 1: people who don't realize that it's racist, so they don't

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Speaker 1: want to bring this up in the trial. But yeah,

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Speaker 1: it's one of those things. We're dancing around it. But

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Speaker 1: why we should be getting We should be at a

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Speaker 1: point here in America where we can point it out

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Speaker 1: and understand what it means and what represents. But we're not.

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Speaker 1: It means States rights and nothing else. So, UM, wait

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Speaker 1: for you all? Sorry, go ahead, No, I just give

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Speaker 1: the FORLORDA Robert if he would rather talk about his thing.

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Speaker 1: I mean, what, what when? Why don't we go on

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Speaker 1: with your thank Katie? I was just being fun. I

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Speaker 1: don't know that we have much more to say. I'm

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Speaker 1: glad it went the way that it did. Then it's

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Speaker 1: time to talk about the thing that I think is

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Speaker 1: the most important issue facing our nation right now, which

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Speaker 1: is the n f T cartoon show. Um that I

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Speaker 1: made you both watch? Yes you did? How dare you first?

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Speaker 1: So for some context, there's n f T s. If

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Speaker 1: you're not aware, you should know the basis if you

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Speaker 1: listen to this show. But the way that it is evolved.

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Speaker 1: Earlier in the year, it was like a bunch of

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Speaker 1: different kind of unique pieces of art, some of which

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Speaker 1: sold for ridiculous amounts of money. Um, and then that

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Speaker 1: bubble kind of collapsed after a while um. And the

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Speaker 1: way to prop up the bubble next turned out to

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Speaker 1: be launching these sets of usually ten thousand procedurally generated

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Speaker 1: animal drawings of like lions holding blunts and ship um,

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Speaker 1: dumb stuff, a lot of apes, and some of these

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Speaker 1: have been very successful. Some of them have sold for

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Speaker 1: millions of dollars. Most of those are are just money laundering,

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Speaker 1: Like the big half billion dollar sale was a guy

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Speaker 1: buying his own n f T and then transferring the

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Speaker 1: money back into his wallet in order to like raise

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Speaker 1: the price to try to con someone else to actually

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Speaker 1: spending that much money on is n f T UM.

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Speaker 1: So you've got all these monkeys, like the board Ape

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Speaker 1: Yacht Club, which just they made a big partnership with

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Speaker 1: it was Rolling Stone. They're like all over the place

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Speaker 1: they've been doing ads in Times Square, like there's a

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Speaker 1: lot of money in these right now. And the basics

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Speaker 1: of it is like you buy one of these n

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Speaker 1: f T s that's drawing of a monkey again like

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Speaker 1: smoking a U or some ship, and they're all the

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Speaker 1: same monkey. All the drawings are nearly identical apes and

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Speaker 1: yeah apes apes. And when you have that, you both

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Speaker 1: have this n f T that you could sell. You

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Speaker 1: also get access to like a chat room that they

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Speaker 1: all hang out in. That's a big part of it.

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Speaker 1: They have like a discord Yeah, and Jimmy Fallon's got one,

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Speaker 1: so Cody, you could you could be chatting with Jimmy

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Speaker 1: Fallon on the reg if you if you get aboard

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Speaker 1: ape come on, man, you you you text me every day?

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Speaker 1: I wonder what Jimmy Fallon's And then you go into

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Speaker 1: a chat room. Yeah, you get access to like a

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Speaker 1: chat room and they have there's like this just a

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Speaker 1: bad avatar kind of yeah. Because there's also there's this

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Speaker 1: a bunch of these different things, so like one thing

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Speaker 1: that exists or long. This is like this kind of

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Speaker 1: second lifestyle MMO where you can like own digital real estate.

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Speaker 1: And so some people are buying n f T s

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Speaker 1: the also unlock like buildings or boats or whatever in

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Speaker 1: this game. Anyway, there's a bunch of dumb ship n

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Speaker 1: f T s are there's there's a ton of there's

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Speaker 1: a ton of dumb ship with n f T s.

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Speaker 1: We don't need to go into it too much. No

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Speaker 1: fucking time, am I. Right? Yeah, so you've got you've

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Speaker 1: got all these stupid monkey clubs that people are joining.

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Speaker 1: And one of the things that n f T s

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Speaker 1: on their own give you nothing but individual n f

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Speaker 1: T s, Like if you buy one of these board ape,

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Speaker 1: yacht club apes or some of the other big n

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Speaker 1: f T kits, you gain the rights to license your

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Speaker 1: character which you were again almost identical generated drawings of monkeys.

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Speaker 1: You could make your own drawing of a monkey and

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Speaker 1: license that. I know you do have that, right, Katie. Um. Unbelievable.

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Speaker 1: So some some guys launched what they're bragging is the

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Speaker 1: first n f T cartoon, and whenever you whenever I've

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Speaker 1: actually gone into the comments, a bunch of n f

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Speaker 1: ten neards have been like, actually there's another one that's

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Speaker 1: much earlier. Yeah, I don't care, it's probably dumb too, um,

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Speaker 1: but they're big selling point that like all of the

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Speaker 1: main characters on the show, we're all like licensed from

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Speaker 1: people who just own n f t s and the

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Speaker 1: background characters are licensing. And this is how everything's gonna

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Speaker 1: work in the future. This is how every like show

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Speaker 1: is going to be funded. Like you'll buy n f

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Speaker 1: t s and then you'll have the licensing rights to

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Speaker 1: that little character in this show except for we'll talk

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Speaker 1: about the show in a bit, but like that's the

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Speaker 1: idea that like, this is how it's going to revolutionize entertainment.

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Speaker 1: Is people will You'll say, hey, I want to do

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Speaker 1: a show about a bunch of monkeys on on Mars,

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Speaker 1: and uh, we'll be using avatars from this set of

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Speaker 1: characters and people will buy them and then that money

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Speaker 1: funds your show, right, Like that's the idea, and it's

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Speaker 1: good for the people funding it because they can license

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Speaker 1: the characters if they I'm sure. The way there's something

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Speaker 1: is like imagine if like you bought Homer Simpson for

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Speaker 1: like fifty dollars to fund the Simpsons, Like how much

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Speaker 1: money would you have now? Um by kind of the

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Speaker 1: sales pitch, right this is I know it's already been

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Speaker 1: pitched and it's happening, and there's nothing to be done about.

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Speaker 1: What a terrible idea, What a terrible, stupid, stupid, anti

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Speaker 1: creative idea. Like I don't we don't need to spend

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Speaker 1: too much time on this, but that is really depressing

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Speaker 1: and just horrific approach to art. It's obviously like not

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Speaker 1: you know every TV shows like differently, that is horrendous. Um,

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Speaker 1: I am so bummed out to know that that is

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Speaker 1: definitely the future of at least a good portion of

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Speaker 1: entertainment and art. Well, I don't know that it is

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Speaker 1: because so we just watched the first Well it's really good,

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Speaker 1: so I think the Ape Family. You can find it

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Speaker 1: on YouTube. It had like a hundred and fifty thousand

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Speaker 1: views when I watched it, most of which I think

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Speaker 1: have come since people started making fun of it online.

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Speaker 1: It was like like forty or fifty thousand views when

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Speaker 1: I watched it and started tweeting about it. Um, so

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Speaker 1: you guys watched it? What what what did you think? Views?

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Speaker 1: It was so bad? Robert, it was so bad. It's

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Speaker 1: really bad. Um. And I don't know if I was

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Speaker 1: just um busy being mad at it or if it

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Speaker 1: doesn't have a plot, but I don't. I don't know

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Speaker 1: what's going on. I don't know. Just when do you

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Speaker 1: want to take a stab at describing the plot of

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Speaker 1: this episode. They are some sort of a highest go

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Speaker 1: to head Cody. There are some apes and the hell

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Speaker 1: have really bad. They're the worst voice actors I've ever heard.

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Speaker 1: The woman sounds like a robot woman, one of those

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Speaker 1: tex when he got their friends to do it. Yeah,

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Speaker 1: and the accents are all over the map. They're all

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Speaker 1: over the place. Mixing is shit. Like. Even beyond the accents,

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Speaker 1: you can tell every character was a voice recorded in

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Speaker 1: a room thousands of miles apart, right, which ideally you

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Speaker 1: shouldn't like even in a good podcast, it should quite

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Speaker 1: sound like that, you know. But they all feel like

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Speaker 1: they are on in their own stories. That's what it

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Speaker 1: felt like. Plot. Yeah, there was no story. Weird things

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Speaker 1: just for sake of being weird. They're not like rooted

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Speaker 1: in some character motivation or you know what I mean,

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Speaker 1: like a well thought out Yeah, some of it, but

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Speaker 1: like you anyway, go ahead, I mean some of the

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Speaker 1: Like the randomness you're talking about is very much like

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Speaker 1: trying to mine uh, like the adults swim uh sort

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Speaker 1: of like tone yeah, but they're not. But but it's like,

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Speaker 1: forgive the phrase they're aping stuff like they're like they're

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Speaker 1: taking a stuff that exists and doing like a shadow

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Speaker 1: of a shadow of a shadow of a shadow of it,

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Speaker 1: so that it doesn't make sense, like like even the

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Speaker 1: like blank months earlier, like two hours earlier, whatever, isn't

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Speaker 1: that just like a SpongeBob thing. Yeah, I mean there's

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Speaker 1: a few. Yeah, it's it's it's funny because in terms

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Speaker 1: of like thinking about not funny, but the situation, the

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Speaker 1: situation in terms of like what their influences are, because

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Speaker 1: I think that's a fascinating thing to discuss. Is like

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Speaker 1: what they're trying to do here. I see bits of

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Speaker 1: like Xavier Renegade Angel. I see like bits of of

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Speaker 1: a couple of things, including like Aquitine hunger Force. But

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Speaker 1: more than anything, I think it's Rick and Morty uh

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Speaker 1: and yeah, and I think the thing that they're trying

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Speaker 1: I think like if I could, if I could go back,

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Speaker 1: if I could guess what the pitch was in whatever

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Speaker 1: fucking discord room for people who own monkey drawings this

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Speaker 1: was dreamed up in um, it would be something like,

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Speaker 1: you know, the cool thing about Rick and Morty is

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Speaker 1: they've got all these kookie characters from all around the

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Speaker 1: universe all the time. Right, Well, there's all these wacky

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Speaker 1: and f T characters. We could make a show like that,

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Speaker 1: but everybody like we license people's in f T s

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Speaker 1: and that'll show people this is a good idea and

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Speaker 1: the problem with that. And if you if you look

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Speaker 1: at the I think the individual who's humor their most

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Speaker 1: again aping here is Justin Royland, right Like that's they're

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Speaker 1: really trying to do a lot of Justin Royland. And

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Speaker 1: if you look at the show that got us Rick

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Speaker 1: and Morty, like the show that was adapted into Rick

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Speaker 1: and Morty was like a series of short animated skets,

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Speaker 1: just sketches Justin did called Doc and Marty, which is

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Speaker 1: like a parody of Back to the Future if the

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Speaker 1: Doc was constantly trying to molest a child. Um, Like

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Speaker 1: that really is the joke. And about eight five eight

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Speaker 1: something like that years ago, whenever it came out, it

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Speaker 1: was funny for the first like fifteen minutes or so,

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Speaker 1: maybe like generously um. And otherwise the main thing you said, oh,

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Speaker 1: Justin Royland is really good at voices, um. And it

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Speaker 1: was not actually funny and missing the mark on the

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Speaker 1: concept here. The thing that became the reason it's whether

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Speaker 1: you like it or not, it's a successful show, right,

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Speaker 1: It's the biggest animated show in the world. The thing

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Speaker 1: that made it a successful animated show, I'm not going

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Speaker 1: to take a value judgment about it, was that they

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Speaker 1: took the things that Justin Royland was good at, which

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Speaker 1: was being occasionally wacky and random in a way that

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Speaker 1: was somewhat creative and good at doing voices, and they

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Speaker 1: married it to a team of really good writers and

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Speaker 1: another guy, Dan Harmon, who is excellent at story structure.

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Speaker 1: And so the thing about Rick and Morty's as random

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Speaker 1: and silly as some of the comedy is like, there's

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Speaker 1: always a really pretty tight structure to the stories because

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Speaker 1: it's made by people who care about telling stories. There's

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Speaker 1: not a story here. There's there's not really jokes because

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Speaker 1: they're too random to even be jokes. Can I interject

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Speaker 1: real quick and say that we need to take an

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Speaker 1: ad break and then come back pick this up, Cody

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Speaker 1: hold that thought. I got it. Behind the curtain, We're

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Speaker 1: really not going anywhere. I just got to say that

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Speaker 1: we are so that we can put the ads into

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Speaker 1: right here, we're right here, everything back a what were

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Speaker 1: you going to say that the apes deserve the Emmy's um?

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Speaker 1: That will just in terms of Robert what you're talking about.

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Speaker 1: The even the thing is like randomness can be funny

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Speaker 1: if you expect a certain thing and then like, oh

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Speaker 1: I'm surprised, so I laugh. But even the the quote

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Speaker 1: randomness on a show like Rick and Morty, there is

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Speaker 1: a Rhymann reason to it. There are expectations that that

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Speaker 1: you are given and then those expectations are subverted, like

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Speaker 1: there is a structure to even just the seemingly unstructured parts. Um.

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Speaker 1: And obviously like they're going to improvise and do like

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Speaker 1: bits and stuff like a bunch of what the two

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Speaker 1: brothers like all that kind of stuff like that is funny, um,

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Speaker 1: but there's nothing here that indicates like thought beyond like, oh,

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Speaker 1: random thing, right, UM. I have one big note for it.

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Speaker 1: And I don't know if this was on purpose or not,

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Speaker 1: but in the episode, the mother Ape refers to her

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Speaker 1: children as these two little monkeys, and when I was

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Speaker 1: watching it, my thought was, they're not monkeys, they're apes.

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Speaker 1: And then later on somebody calls them all monkeys, and

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Speaker 1: the mother's like, we're apes, We're not monkeys. Do you

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Speaker 1: see a tail? And I am not sure they did

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Speaker 1: that on purpose. Yeah, I don't know either. I'm like

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Speaker 1: fifty on whether or not they just overlooked the first part. Yeah,

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Speaker 1: it's just like it's just because it's supposed to be

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Speaker 1: saying something about her as a character, they're missing them.

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Speaker 1: They're not doing it right. I don't know what they're

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Speaker 1: trying to say. Is this like an in joke? I

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Speaker 1: don't know. Yeah, So are spending a lot of time

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Speaker 1: talking about it's the most important story in the world. Well,

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Speaker 1: it is, like because it's not the It's not the

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Speaker 1: only thing that's that's gonna be this. It's not the

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Speaker 1: only like license like weird to Eric avatars turned into

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Speaker 1: a show by people who have no like actually like

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Speaker 1: creative output. Um, this will be a good segue into

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Speaker 1: a thing I want to talk about briefly, which is

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Speaker 1: Mr Beasts squid Game. First, I have one more thing

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Speaker 1: to say about this video, please. One good thing about

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Speaker 1: the video and also embarrassing, is that there are literally

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Speaker 1: two minutes of end credits. Oh yeah, and because they've

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Speaker 1: got to give all the people who'se n F T s.

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Speaker 1: They used credit minutes of end credits out of an

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Speaker 1: eight minute video. What do you Know is produced by

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Speaker 1: two Chains and its music by two Chains. I can't

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Speaker 1: believe that. Man um I like, I likes I like

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Speaker 1: this catchphrase fuck yeah very so many times. It's so

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Speaker 1: it's just such a it's I mean again, swear words

385
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Speaker 1: are the only joke they really have. Uh, it's it's

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Speaker 1: just the lamest thing in the world. The ship they're

387
00:23:07,680 --> 00:23:13,840
Speaker 1: going to Muskville on March embarrassing. Uh, Cody do your transition.

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Speaker 1: And the other thing that I speaking of content that

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Speaker 1: is not creative and the death of art um so

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00:23:22,640 --> 00:23:27,760
Speaker 1: Mr Beast if you're familiar. Uh, he's like gaming YouTuber

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Speaker 1: kind of all those sorts of things that you would

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Speaker 1: think of. He does a lot of events like I

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Speaker 1: paid this sucking person ten tho dollars if they fuck

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Speaker 1: their mother and we're gonna see if they do. Um.

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Speaker 1: Not that that's not exact example, but that kind of thing,

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Speaker 1: like I'm gonna like give him money and see what

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Speaker 1: they fucking do. I think we should do that. But

398
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Speaker 1: for members of Congress and the thing that we have

399
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Speaker 1: them do, should always be having sex with a dead pick. Yeah.

400
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Speaker 1: Just hey, that pig was alive in black, and I

401
00:24:00,280 --> 00:24:02,200
Speaker 1: think we should rule so that that is the only

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Speaker 1: legal form of campaign contribution and it has to be filmed.

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Speaker 1: So if you want to run and you want to

404
00:24:07,400 --> 00:24:09,800
Speaker 1: use money to run, more power to you. You're gonna

405
00:24:10,560 --> 00:24:16,359
Speaker 1: do if you're running a billion dollar president. Yeah, so

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Speaker 1: Iphie wanted us to mention the doctor that doctor Oz

407
00:24:18,840 --> 00:24:22,600
Speaker 1: is running for a future pig fucker, doctor Oz, but

408
00:24:22,640 --> 00:24:26,840
Speaker 1: now possibly current pig. It's the idea that like every

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00:24:26,840 --> 00:24:29,280
Speaker 1: time someone announces like I will I am putting my

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00:24:29,560 --> 00:24:31,720
Speaker 1: hat in the ring for president in the United States,

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Speaker 1: we can call them all future pig fuckers. I am

412
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Speaker 1: putting out I had in the ring, and I am

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Speaker 1: putting my dick in that pigs campaign finance form for you.

414
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Speaker 1: Can we make a hat that's his future big bucks,

415
00:24:45,640 --> 00:24:50,399
Speaker 1: a future pigfucker every president. Yeah, there's something there. Someone

416
00:24:50,520 --> 00:24:53,760
Speaker 1: hit us up with a design for that. Okay, for

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00:24:53,840 --> 00:24:56,119
Speaker 1: all your future pig fuckers out there. Um. Yeah, so

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Speaker 1: Mr PC does this kind of thing and like whatever,

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Speaker 1: not my cup of tea, maybe your cup of tea,

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00:25:01,080 --> 00:25:04,840
Speaker 1: that's cool. Um. But then a show called squid Game

421
00:25:04,960 --> 00:25:09,040
Speaker 1: came out, and that show is about people doing people

422
00:25:09,040 --> 00:25:12,320
Speaker 1: who are desperate for money doing things that maybe they

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00:25:12,320 --> 00:25:15,960
Speaker 1: wouldn't do if they weren't desperate for money, like let

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Speaker 1: each other die or literally kill each other. Um. And

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Speaker 1: I don't know if you've watched the show, it's still

426
00:25:23,440 --> 00:25:28,280
Speaker 1: haven't but at this point I guess I, well, I'll

427
00:25:28,280 --> 00:25:30,360
Speaker 1: try to keep a spoiler free, but more or less,

428
00:25:30,440 --> 00:25:33,879
Speaker 1: it's a game of murder, uh, for money, for the

429
00:25:34,000 --> 00:25:39,000
Speaker 1: entertainment of the wealthy. And uh. So that show is

430
00:25:39,000 --> 00:25:42,480
Speaker 1: a success because it's good. Um, I think it's good.

431
00:25:42,640 --> 00:25:44,919
Speaker 1: Some people don't, and that's fine. Some people don't like

432
00:25:44,960 --> 00:25:49,560
Speaker 1: it because they think it's pro communism or pro capitalism

433
00:25:49,640 --> 00:25:52,360
Speaker 1: or some interpretation. I don't know it is. I mean,

434
00:25:52,400 --> 00:25:55,880
Speaker 1: it's objectively like the most successful thing Netflix has ever

435
00:25:55,920 --> 00:25:58,960
Speaker 1: had on right. I think listeners of the show are

436
00:25:58,960 --> 00:26:02,440
Speaker 1: familiar by now because we have talked about it, definitely

437
00:26:02,440 --> 00:26:09,000
Speaker 1: talked about the shallow pool uh tempooles. I have not

438
00:26:09,119 --> 00:26:12,119
Speaker 1: watched it because watching literally anything would get in the

439
00:26:12,119 --> 00:26:15,520
Speaker 1: way of rewatching King of the Hill for the tenth time.

440
00:26:15,640 --> 00:26:18,199
Speaker 1: I understand that the thing I'm primarily doing, but it

441
00:26:18,200 --> 00:26:21,440
Speaker 1: sounds like it's good. It's good. I like, I like it.

442
00:26:23,920 --> 00:26:28,920
Speaker 1: I'm watching something else. Um, it's very good, I think,

443
00:26:29,160 --> 00:26:32,080
Speaker 1: And it's about that. Mr Beast was like, well, I'm

444
00:26:32,119 --> 00:26:35,600
Speaker 1: gonna do the squid games. I'm gonna build the squid

445
00:26:35,600 --> 00:26:38,360
Speaker 1: games from incredible and he did it, so if I'm

446
00:26:38,359 --> 00:26:42,760
Speaker 1: not mistaken, And the show is about how dystopian and

447
00:26:42,800 --> 00:26:46,120
Speaker 1: horrific it would be if people were forced to compete

448
00:26:46,200 --> 00:26:49,840
Speaker 1: with each other in and and like their loved ones

449
00:26:50,640 --> 00:26:54,960
Speaker 1: in horrible ways in order to make money because they

450
00:26:55,000 --> 00:26:58,840
Speaker 1: desperately need money. And a guy made a show where

451
00:26:58,840 --> 00:27:02,119
Speaker 1: people competed with their ones in order to make money

452
00:27:02,200 --> 00:27:05,800
Speaker 1: and they didn't die, thankfully, But like otherwise it he

453
00:27:05,880 --> 00:27:08,360
Speaker 1: just did the thing. He just it's not like a parody.

454
00:27:08,359 --> 00:27:10,760
Speaker 1: It's not a commentary. He just did the same thing.

455
00:27:11,160 --> 00:27:15,240
Speaker 1: But murder um, Yeah, there's not there's no murder. Nobody dies. Um.

456
00:27:15,359 --> 00:27:20,720
Speaker 1: But it is good. Yeah, it's just the games from

457
00:27:20,960 --> 00:27:25,400
Speaker 1: the thing from the show without the murder um, which again, yes,

458
00:27:25,440 --> 00:27:28,000
Speaker 1: it is good. Um, but there's no you know, I

459
00:27:28,000 --> 00:27:31,240
Speaker 1: I skimmed it. I gave it a little glance. Um,

460
00:27:31,280 --> 00:27:36,000
Speaker 1: there's no like commentary on the thing. There's no drawing

461
00:27:36,560 --> 00:27:41,000
Speaker 1: connections to what they're doing and and the show they're

462
00:27:41,040 --> 00:27:44,639
Speaker 1: like aping. Um, it's not a parody, it's just is

463
00:27:44,680 --> 00:27:48,399
Speaker 1: the thing. Um. And at the very end, instead of

464
00:27:48,400 --> 00:27:52,159
Speaker 1: playing squid game they do musical chairs, which very disappointed

465
00:27:52,200 --> 00:27:56,639
Speaker 1: in them for doing that. Um, but uh, it's mostly

466
00:27:56,640 --> 00:27:59,000
Speaker 1: I mostly just want to talk about this tweet um

467
00:27:59,040 --> 00:28:01,720
Speaker 1: that has since deleted actually on account of how bad

468
00:28:01,760 --> 00:28:05,720
Speaker 1: it was. Mr Best squid game video a hundred and

469
00:28:05,760 --> 00:28:08,399
Speaker 1: three million views in four days. It took seven weeks

470
00:28:08,440 --> 00:28:11,920
Speaker 1: to make Netflix's Squid Game series a hundred eleven million

471
00:28:12,000 --> 00:28:14,720
Speaker 1: views in thirty days. It took ten years to make

472
00:28:15,160 --> 00:28:19,719
Speaker 1: more views, less time, fewer gatekeepers. That's the promise of

473
00:28:19,760 --> 00:28:25,320
Speaker 1: the creator economy. Here with this, this is so depressing,

474
00:28:25,880 --> 00:28:30,040
Speaker 1: it's stupid. It's stupid. Well, and the thing is and

475
00:28:30,359 --> 00:28:33,439
Speaker 1: the thing that maybe more people should be aware of

476
00:28:33,480 --> 00:28:36,320
Speaker 1: this person in particular, And like Mr Beast, I guess

477
00:28:36,359 --> 00:28:41,680
Speaker 1: I don't know. There's content creators and then there's art,

478
00:28:42,720 --> 00:28:46,600
Speaker 1: and they're not the same thing. Sometimes they're the same thing. Yeah,

479
00:28:48,800 --> 00:28:54,040
Speaker 1: his his his thing doesn't exist without the original, without

480
00:28:54,080 --> 00:28:57,959
Speaker 1: the concept, without nobody would you care about it? Otherwise

481
00:28:58,440 --> 00:29:02,760
Speaker 1: you you leached off of something that already existed. You

482
00:29:02,800 --> 00:29:08,280
Speaker 1: didn't create anything, right, or your success is like if

483
00:29:08,320 --> 00:29:10,640
Speaker 1: you're looking if you're trying to develop, like if you're

484
00:29:10,640 --> 00:29:14,880
Speaker 1: trying to like lad your out the achievements of like

485
00:29:15,080 --> 00:29:18,640
Speaker 1: artists or the creator economy, like as as if their

486
00:29:18,720 --> 00:29:22,760
Speaker 1: verses each other. Then your success goes on the ledger

487
00:29:22,960 --> 00:29:25,680
Speaker 1: of the guy who made Squid Game, because there would

488
00:29:25,680 --> 00:29:28,440
Speaker 1: be nothing for you to do exactly. Also probably owe

489
00:29:28,520 --> 00:29:31,400
Speaker 1: him money or something. You may be breaking the law.

490
00:29:31,440 --> 00:29:34,960
Speaker 1: I know people are talking about it. From what I've read,

491
00:29:35,000 --> 00:29:40,640
Speaker 1: doesn't seem like a lawsuit, dude, but no, he he

492
00:29:40,760 --> 00:29:44,400
Speaker 1: recreated the set from the show, which was meticulously designed

493
00:29:44,440 --> 00:29:47,480
Speaker 1: by artists. Uh, it does seem like he broke the

494
00:29:47,560 --> 00:29:51,000
Speaker 1: law a bit right, But like, but no, I think

495
00:29:51,040 --> 00:29:53,000
Speaker 1: you can call a parody or whatever even though it's not.

496
00:29:53,200 --> 00:29:57,520
Speaker 1: It's just doing the thing um transformative about it. It

497
00:29:57,600 --> 00:29:59,800
Speaker 1: took ten years aside from the fact that like people

498
00:29:59,800 --> 00:30:02,520
Speaker 1: do by the show and didn't want to make the show.

499
00:30:03,160 --> 00:30:06,920
Speaker 1: It takes a long time to create art from whole cloth,

500
00:30:07,120 --> 00:30:08,760
Speaker 1: and like what do the sets look like? Oh? What

501
00:30:08,840 --> 00:30:11,080
Speaker 1: if it's this? What if there's some meaning here? Like

502
00:30:11,120 --> 00:30:15,440
Speaker 1: you're infusing meaning into the visuals of your show because

503
00:30:15,440 --> 00:30:18,200
Speaker 1: you're making art, you're not making content in a couple

504
00:30:18,200 --> 00:30:21,080
Speaker 1: of weeks so that you can just like it's it.

505
00:30:22,240 --> 00:30:26,240
Speaker 1: The tweet is accurate, um, And it's depressing that it's accurate,

506
00:30:26,280 --> 00:30:33,280
Speaker 1: because again, like Mr Beast, you're doing this video about

507
00:30:33,320 --> 00:30:37,520
Speaker 1: a show that is kind of about what you do.

508
00:30:38,240 --> 00:30:41,040
Speaker 1: Like obviously you don't like put them in dangerous like

509
00:30:41,400 --> 00:30:44,840
Speaker 1: situations where they have to die, but you're paying people

510
00:30:44,920 --> 00:30:47,680
Speaker 1: lots of money to do things that they don't want

511
00:30:47,720 --> 00:30:52,560
Speaker 1: to do, um because they're desperate for the money. Um.

512
00:30:52,640 --> 00:30:55,440
Speaker 1: So there's just a huge disconnect there that kind of

513
00:30:55,480 --> 00:31:01,800
Speaker 1: bums me out. It's fine, it's successful, and we we

514
00:31:01,880 --> 00:31:06,760
Speaker 1: love it. Actually doesn't sound like but yeah, I just

515
00:31:06,760 --> 00:31:09,400
Speaker 1: saw that and I had to this is this is

516
00:31:09,760 --> 00:31:11,880
Speaker 1: this is apparently the show where I talked about the

517
00:31:11,880 --> 00:31:15,880
Speaker 1: squid game every couple of weeks um. And so we

518
00:31:15,880 --> 00:31:18,760
Speaker 1: don't know like our purview is anymore. So why the

519
00:31:18,760 --> 00:31:24,840
Speaker 1: hell not? Do you guys want to take another quick break? Oh? God,

520
00:31:24,880 --> 00:31:28,120
Speaker 1: I love quick breaks. That's that's the thing that I

521
00:31:28,160 --> 00:31:30,720
Speaker 1: was really wanting. I was just about to text to Sophie,

522
00:31:31,000 --> 00:31:32,960
Speaker 1: you know it would be good Right now, I'm gonna

523
00:31:33,320 --> 00:31:45,920
Speaker 1: quick breaking quick, fucking break quick, his hell, babyget everything,

524
00:31:46,480 --> 00:31:55,800
Speaker 1: don't don't don't and we are back a package. I

525
00:31:55,800 --> 00:31:58,760
Speaker 1: thought more about the Red Ape family. You have more

526
00:31:58,800 --> 00:32:04,160
Speaker 1: to say, No, I mean yes, always do something else

527
00:32:04,160 --> 00:32:08,400
Speaker 1: to talk about, please least I love. I love talking

528
00:32:08,400 --> 00:32:11,000
Speaker 1: about other goods. Is it about the future of content

529
00:32:11,120 --> 00:32:13,960
Speaker 1: and now it's going to be really good? No? Hard

530
00:32:14,000 --> 00:32:18,160
Speaker 1: pivot to the future of COVID. Oh, I'm very I'm

531
00:32:18,280 --> 00:32:20,840
Speaker 1: very excited for the future of COVID. I think I

532
00:32:20,880 --> 00:32:23,520
Speaker 1: think it's gonna be big. It's going to invest in

533
00:32:23,560 --> 00:32:27,560
Speaker 1: cot now. I think it's going to be huge, bigger

534
00:32:27,600 --> 00:32:29,959
Speaker 1: than ever. I would say the smart money is not

535
00:32:30,080 --> 00:32:34,600
Speaker 1: on shorting COVID. COVID bigger than the Beatles, bigger than

536
00:32:34,680 --> 00:32:46,440
Speaker 1: Jesus all Macron Macron, Yeah, that's it. It's It's very funny.

537
00:32:46,440 --> 00:32:52,080
Speaker 1: It's very funny that two cartoons from my my adolescence

538
00:32:52,120 --> 00:32:56,400
Speaker 1: in early adulthood uh later wound up associated directly with

539
00:32:56,440 --> 00:33:00,200
Speaker 1: horrific tragedies because of their names of names in them.

540
00:33:00,200 --> 00:33:11,440
Speaker 1: It's very funny, Archer and isis oh God that so? Yes?

541
00:33:11,600 --> 00:33:18,240
Speaker 1: Of course? Um? Right? Was it on Thanksgiving? Right around then? Um?

542
00:33:19,000 --> 00:33:24,320
Speaker 1: The news comes from South Africa that a new variant

543
00:33:24,560 --> 00:33:29,760
Speaker 1: has been discovered, um. When there's a lot to unpack here.

544
00:33:30,160 --> 00:33:35,560
Speaker 1: But first off is just the reactions uh to it,

545
00:33:35,920 --> 00:33:41,720
Speaker 1: um specifically travel bands. Travel bands are pretty pointless, especially

546
00:33:41,720 --> 00:33:45,840
Speaker 1: since we know that it's already everywhere. It's everywhere. It's

547
00:33:46,000 --> 00:33:48,720
Speaker 1: hasn't been officially discovered here in the United States, but

548
00:33:49,000 --> 00:33:54,400
Speaker 1: it is here. Um, it's been spreading. It's all over Europe. UM.

549
00:33:54,560 --> 00:33:56,400
Speaker 1: I mean, seems like the time for travel bands was

550
00:33:56,480 --> 00:34:00,640
Speaker 1: like a year and like nine months ago. Shut down

551
00:34:00,640 --> 00:34:05,960
Speaker 1: all air traffic in February, like specifically for a couple

552
00:34:05,960 --> 00:34:10,080
Speaker 1: of months. Yeah, maybe, but like also specifically saying okay,

553
00:34:10,120 --> 00:34:13,360
Speaker 1: like there was a big a rapid and lots of

554
00:34:13,360 --> 00:34:18,120
Speaker 1: countries halting travel from South Africa, which is actually shitty.

555
00:34:18,239 --> 00:34:23,080
Speaker 1: South African scientists discovered it and have now been penalized

556
00:34:24,560 --> 00:34:32,960
Speaker 1: for specifically discovering something um vital to everyone. Um. However, Yeah,

557
00:34:33,080 --> 00:34:38,399
Speaker 1: let's talk about Africa real quick, or just in general, um,

558
00:34:38,440 --> 00:34:42,759
Speaker 1: the intellectual property protection that has been in place this

559
00:34:42,800 --> 00:34:47,880
Speaker 1: whole time over the vaccines and the lack of availability

560
00:34:48,000 --> 00:34:49,719
Speaker 1: that we have for the rest of the world. This

561
00:34:50,120 --> 00:34:54,319
Speaker 1: is exactly what we've been talking about. The entire time

562
00:34:54,320 --> 00:34:56,720
Speaker 1: that if you do not get everybody vaccinated, it will mutate.

563
00:34:57,200 --> 00:35:01,719
Speaker 1: And Africa specifically has a low vaccination right and a

564
00:35:01,920 --> 00:35:08,080
Speaker 1: high uh percentage of people with pre existing conditions, um,

565
00:35:08,640 --> 00:35:15,360
Speaker 1: which happens to be the breeding grounds for mutations to

566
00:35:15,440 --> 00:35:19,120
Speaker 1: come about. So and by the way, that's not saying

567
00:35:19,120 --> 00:35:21,200
Speaker 1: anything about Africa. That's saying something about the rest of

568
00:35:21,200 --> 00:35:23,080
Speaker 1: the world in the way that we've treated Africa. Sure,

569
00:35:23,560 --> 00:35:29,160
Speaker 1: but um, it's it's it's really frustrating. I was very

570
00:35:29,239 --> 00:35:32,359
Speaker 1: angry when I saw I mean, yes, asident Biden spoke

571
00:35:32,440 --> 00:35:36,000
Speaker 1: up saying like we need to make the vaccine lifted

572
00:35:36,160 --> 00:35:39,920
Speaker 1: into yeah, and then Maderna was like no, thank you,

573
00:35:40,440 --> 00:35:42,560
Speaker 1: and like, fuck you say that from the beginning, man,

574
00:35:42,640 --> 00:35:46,200
Speaker 1: this is yes, yes, yes, we've been seeing this. Keep

575
00:35:46,280 --> 00:35:49,120
Speaker 1: saying it. Um yeah he pops he pops in every

576
00:35:49,160 --> 00:35:50,399
Speaker 1: like couple of months and be like yeah, I think

577
00:35:50,400 --> 00:35:54,239
Speaker 1: we should do that, and then that's it. Yeah, And

578
00:35:54,320 --> 00:35:59,600
Speaker 1: it's I it's so fucking bleak that South Africa has

579
00:35:59,640 --> 00:36:05,520
Speaker 1: invest did so much money and having like an unparalleled

580
00:36:06,120 --> 00:36:11,759
Speaker 1: like genetic analysis system for virology. Um, like they're they're

581
00:36:11,800 --> 00:36:15,640
Speaker 1: really good at testing and looking for mutations and what

582
00:36:15,800 --> 00:36:17,640
Speaker 1: like that's why they were the first ones to find this.

583
00:36:18,080 --> 00:36:20,000
Speaker 1: It didn't start there, they were just the first ones

584
00:36:20,080 --> 00:36:22,600
Speaker 1: to find it. And as a result, uh, they're just

585
00:36:22,600 --> 00:36:24,880
Speaker 1: getting sucked over, like they're showed on re agents and

586
00:36:24,960 --> 00:36:28,200
Speaker 1: stuff to continue testing because nobody is allowed to fly there.

587
00:36:28,360 --> 00:36:31,839
Speaker 1: And it's look, I'll just say like maybe it started there,

588
00:36:31,840 --> 00:36:35,799
Speaker 1: maybe it didn't, but it's not there's no evidence. But

589
00:36:35,800 --> 00:36:38,399
Speaker 1: there's no evidence, right, that's just what everybody's trying. I'm

590
00:36:38,440 --> 00:36:41,280
Speaker 1: just saying like maybe maybe not. That's not the fucking point,

591
00:36:41,640 --> 00:36:43,879
Speaker 1: and we should have known this. The reason it's called

592
00:36:43,920 --> 00:36:46,520
Speaker 1: the Spanish flu wasn't because it started in Spain. In fact,

593
00:36:46,800 --> 00:36:48,880
Speaker 1: there's good evidence that say that it may have started

594
00:36:48,920 --> 00:36:52,640
Speaker 1: in like Kansas. Um. It's because since Spain was not

595
00:36:52,760 --> 00:36:55,080
Speaker 1: dragged into World War two with their World War One

596
00:36:55,080 --> 00:36:58,200
Speaker 1: with everybody else, they didn't have restrictions on the press

597
00:36:58,440 --> 00:37:00,000
Speaker 1: in the same way that everyone else had, so they

598
00:37:00,040 --> 00:37:03,920
Speaker 1: were able to report on the fucking plague first, and

599
00:37:03,960 --> 00:37:06,920
Speaker 1: as a result, it gets called the Spanish flu um

600
00:37:06,960 --> 00:37:09,239
Speaker 1: And maybe maybe the people whose job it is to

601
00:37:09,360 --> 00:37:13,279
Speaker 1: name these things should have decades ago put in a

602
00:37:13,280 --> 00:37:16,800
Speaker 1: place to like very vigorously fight against identifying a strain

603
00:37:16,880 --> 00:37:19,000
Speaker 1: with the country that it came out in, although some

604
00:37:19,080 --> 00:37:20,320
Speaker 1: of that I don't know how much of that is

605
00:37:20,360 --> 00:37:22,919
Speaker 1: the media. I'm not gonna make to go too much

606
00:37:22,960 --> 00:37:25,200
Speaker 1: on it, but like, it's just it's very frustrating that

607
00:37:25,239 --> 00:37:28,160
Speaker 1: this keeps happening mm hmm, that the people who just

608
00:37:28,560 --> 00:37:30,799
Speaker 1: are on the most on the ball get punished, and

609
00:37:30,920 --> 00:37:34,319
Speaker 1: I I I don't want everybody to freak out immediately.

610
00:37:34,600 --> 00:37:37,080
Speaker 1: You know, we have to wait and see. We have

611
00:37:37,239 --> 00:37:40,920
Speaker 1: to see what conclusions are arrived at once they have

612
00:37:40,960 --> 00:37:44,279
Speaker 1: more information. We don't know that will lead to more

613
00:37:44,320 --> 00:37:50,640
Speaker 1: deaths or hospitalizations, although it seems to be um but

614
00:37:51,600 --> 00:37:54,640
Speaker 1: it is concerning, So I don't know. Delta had like

615
00:37:54,680 --> 00:38:00,399
Speaker 1: what five mutations tend this one has. It has date

616
00:38:00,640 --> 00:38:04,120
Speaker 1: like a lot of affecting this the spike proteins. It

617
00:38:04,160 --> 00:38:07,480
Speaker 1: does not mean that our vaccines are now useless. We

618
00:38:07,520 --> 00:38:11,000
Speaker 1: are we don't know. Scientists seem to think like most

619
00:38:11,040 --> 00:38:15,319
Speaker 1: likely it's still much better than nothing. So it is

620
00:38:15,360 --> 00:38:18,840
Speaker 1: definitely a wait and see. But you know, I do

621
00:38:18,960 --> 00:38:24,839
Speaker 1: notice that this people are governments are reacting quicker to this,

622
00:38:25,000 --> 00:38:28,600
Speaker 1: which is either a sign of that it's worrying or

623
00:38:28,640 --> 00:38:32,160
Speaker 1: that maybe people are learning, but I don't think learning.

624
00:38:32,200 --> 00:38:34,040
Speaker 1: I think we're just used to this at this point.

625
00:38:34,440 --> 00:38:36,800
Speaker 1: And I think they may that we were so close

626
00:38:36,840 --> 00:38:39,600
Speaker 1: to things getting quote unquote normal again that they may

627
00:38:39,640 --> 00:38:42,120
Speaker 1: be scared as ship of the possibility that like this

628
00:38:42,200 --> 00:38:46,120
Speaker 1: is going to disrail that yet again. Like I I

629
00:38:46,200 --> 00:38:52,279
Speaker 1: don't see how you could enforce lockdowns again, Like I mean,

630
00:38:52,719 --> 00:38:55,400
Speaker 1: I don't. I truly don't know. Maybe other countries, but

631
00:38:55,480 --> 00:38:59,279
Speaker 1: here in America, I don't know. We're we have done

632
00:38:59,320 --> 00:39:03,439
Speaker 1: all that we do as a country. We're just again,

633
00:39:03,880 --> 00:39:07,400
Speaker 1: We're we're done. There's no even if the next virus

634
00:39:07,440 --> 00:39:09,800
Speaker 1: that comes around is literally like a you you breathe

635
00:39:09,800 --> 00:39:12,239
Speaker 1: it in and you're dead immediately. Like, we will not

636
00:39:12,600 --> 00:39:16,399
Speaker 1: take any precautions ever again for public safety we have

637
00:39:16,480 --> 00:39:18,920
Speaker 1: we have. We are burnt out on taking care of

638
00:39:18,920 --> 00:39:24,720
Speaker 1: each other. That's bleak. Good country. I don't know, maybe

639
00:39:24,719 --> 00:39:28,719
Speaker 1: it's not that bad, but it certainly feels that way. Um.

640
00:39:28,760 --> 00:39:32,759
Speaker 1: I mean, yeah, well we'll see. Uh. You gotta have

641
00:39:32,920 --> 00:39:36,719
Speaker 1: gotta have hope for humans a little bit, right, Yeah,

642
00:39:36,760 --> 00:39:39,960
Speaker 1: I mean, we could do better. Again, we have all

643
00:39:39,960 --> 00:39:43,120
Speaker 1: of the tools to have locked down effectively and made

644
00:39:43,120 --> 00:39:46,640
Speaker 1: it not be a nightmare or we we we were capable,

645
00:39:46,840 --> 00:39:49,560
Speaker 1: We we could have that a number of things that

646
00:39:49,640 --> 00:39:53,120
Speaker 1: we didn't do. But I don't. I don't know. Yeah,

647
00:39:53,360 --> 00:39:56,279
Speaker 1: I think it is. I don't. It doesn't look like

648
00:39:56,280 --> 00:39:59,200
Speaker 1: there's any real thing for people to change in terms

649
00:39:59,200 --> 00:40:04,640
Speaker 1: of their behavior right now, assuming you were actually being yeah, careful, bore,

650
00:40:05,000 --> 00:40:10,439
Speaker 1: like get your booster, tweeted something like that, don't use

651
00:40:10,520 --> 00:40:14,560
Speaker 1: a macron as an excuse to not get your booster,

652
00:40:14,719 --> 00:40:16,600
Speaker 1: or like to wait to see if there's a different one.

653
00:40:16,680 --> 00:40:19,160
Speaker 1: Get that booster. Shot at your booster better than Yeah,

654
00:40:19,200 --> 00:40:24,160
Speaker 1: I still need I'm working. I need to to this week. Um,

655
00:40:24,200 --> 00:40:27,680
Speaker 1: we got some more time boys, anything else? Jack Dorsey

656
00:40:27,719 --> 00:40:30,319
Speaker 1: again stepping down his CEO. Not sure what to say

657
00:40:30,360 --> 00:40:32,560
Speaker 1: about that. Oh yeah, we can talk about that a

658
00:40:32,600 --> 00:40:36,320
Speaker 1: little bit. So the guy who is replacing him, Oh gosh,

659
00:40:36,320 --> 00:40:40,000
Speaker 1: I'm I've forgotten his name, But to be fair, I'm

660
00:40:40,040 --> 00:40:42,120
Speaker 1: just I'm I will always be angry that I know

661
00:40:42,239 --> 00:40:46,040
Speaker 1: Jack Dorsey's name. So yeah, Um, I don't know that

662
00:40:46,080 --> 00:40:53,680
Speaker 1: I'm pronouncing this right A ball? Yeah yeah. So um.

663
00:40:53,840 --> 00:40:56,000
Speaker 1: Part is he came to the company in two does

664
00:40:56,040 --> 00:40:59,640
Speaker 1: on eleven um. He'd worked at Microsoft and Yahoo and

665
00:40:59,680 --> 00:41:01,600
Speaker 1: probably I think one or two other places before that

666
00:41:01,640 --> 00:41:05,680
Speaker 1: he's an engineer, and he got like big pretty early

667
00:41:05,760 --> 00:41:09,280
Speaker 1: on at pushing some I think mainly AI driven changes

668
00:41:09,400 --> 00:41:13,120
Speaker 1: to try to improve relevance of the tweets that people

669
00:41:13,160 --> 00:41:16,040
Speaker 1: saw in order to increase engagement, and that was met

670
00:41:16,080 --> 00:41:19,320
Speaker 1: with like an unparalleled boost in traffic to the site.

671
00:41:19,360 --> 00:41:21,520
Speaker 1: Like he made changes to try to make the things

672
00:41:21,560 --> 00:41:24,600
Speaker 1: people were seeing more relevant. And I don't entirely know

673
00:41:24,640 --> 00:41:28,000
Speaker 1: what they mean by relevant. Oftentimes relevant means in social

674
00:41:28,000 --> 00:41:30,759
Speaker 1: media terms like makes people angry. So I'm not sure

675
00:41:30,800 --> 00:41:33,520
Speaker 1: this is a good thing. But the changes he made

676
00:41:33,680 --> 00:41:36,480
Speaker 1: significantly drove traffic to Twitter, and so he got like

677
00:41:36,520 --> 00:41:40,000
Speaker 1: a special position. Um, Like, hey, they like made him

678
00:41:40,040 --> 00:41:42,640
Speaker 1: an engineer with like a special title to acknowledge that

679
00:41:42,680 --> 00:41:46,560
Speaker 1: he had some huge impact on traffic, Dorsey says. And

680
00:41:46,560 --> 00:41:49,359
Speaker 1: I don't think Dorsey's lying about this. I think Dorsey

681
00:41:49,719 --> 00:41:53,400
Speaker 1: believes this that that Prague has been kind of behind,

682
00:41:53,480 --> 00:41:56,440
Speaker 1: in a major voice, behind every positive move Twitter has made.

683
00:41:56,480 --> 00:41:59,960
Speaker 1: And again, when Dorsey says positive, it means for Twitter

684
00:42:00,160 --> 00:42:03,400
Speaker 1: being a profitable company and and having lots of engagement

685
00:42:03,400 --> 00:42:05,719
Speaker 1: and members. It does not mean like this this is

686
00:42:05,760 --> 00:42:08,839
Speaker 1: the thing because this has been immediately politicized like everything is,

687
00:42:09,239 --> 00:42:11,759
Speaker 1: and so a lot of people on the right are

688
00:42:11,760 --> 00:42:15,760
Speaker 1: flipping out because number one progue like tweeted a joke,

689
00:42:16,080 --> 00:42:20,000
Speaker 1: like a line from a joke from a Saturday Night Lie. No, no,

690
00:42:20,040 --> 00:42:23,799
Speaker 1: it was a Daily Ship video years like a decade ago,

691
00:42:24,480 --> 00:42:27,120
Speaker 1: um that that was. And the joke was like, if

692
00:42:27,120 --> 00:42:31,399
Speaker 1: you're going to consider all uh Muslims to be potential extremists,

693
00:42:31,440 --> 00:42:33,920
Speaker 1: then like, I why not consider all white people to

694
00:42:33,920 --> 00:42:36,680
Speaker 1: be racist? Or something like that, Like it was not

695
00:42:36,760 --> 00:42:38,680
Speaker 1: even that funked up a line, and he was saying,

696
00:42:38,680 --> 00:42:40,680
Speaker 1: if you're gonna be racist in this way, what why

697
00:42:40,719 --> 00:42:43,759
Speaker 1: not be racist in that way? Like it's perfectly reasonable

698
00:42:44,040 --> 00:42:45,759
Speaker 1: thing to say. But he was also just quoting a

699
00:42:45,840 --> 00:42:48,520
Speaker 1: joke sketch. But people have so now there's this attitude

700
00:42:48,520 --> 00:42:50,520
Speaker 1: that he's hyper woke. And the other thing is there

701
00:42:50,600 --> 00:42:53,839
Speaker 1: was this quote from him in an interview where he says, like,

702
00:42:54,360 --> 00:42:57,120
Speaker 1: we're not concerned with the First Amendment at Twitter, and

703
00:42:57,160 --> 00:42:58,759
Speaker 1: in the context of it, what he's saying is a

704
00:42:58,800 --> 00:43:02,560
Speaker 1: guy's asking him like, hey, when you're talking about moderating discussions,

705
00:43:02,600 --> 00:43:06,080
Speaker 1: stopping disinformation and still supporting free speech, you know how

706
00:43:06,080 --> 00:43:08,160
Speaker 1: do you how do you balance your desire to support

707
00:43:08,239 --> 00:43:10,799
Speaker 1: free speech with you know, your desire to love or

708
00:43:11,120 --> 00:43:14,120
Speaker 1: like keeping the content moderate. And all he said was like,

709
00:43:14,560 --> 00:43:18,440
Speaker 1: we're not the First Amendment. Isn't our job. We're Twitter, right, Like,

710
00:43:18,480 --> 00:43:21,000
Speaker 1: we're not bound by the First Amendment. We don't. This

711
00:43:21,040 --> 00:43:22,839
Speaker 1: is not an issue of freedom of speech. We're going

712
00:43:22,880 --> 00:43:26,280
Speaker 1: to restrict stuff that's in our view bad for discourse,

713
00:43:26,320 --> 00:43:28,640
Speaker 1: stuff like disinformation. Right. That's what he was saying in

714
00:43:28,640 --> 00:43:32,560
Speaker 1: that which is perfectly reasonable and what every single social

715
00:43:32,560 --> 00:43:34,440
Speaker 1: media company says because none of them are bound by

716
00:43:34,480 --> 00:43:38,160
Speaker 1: the First Amendment. It's not a First Amendment issue. Um.

717
00:43:38,200 --> 00:43:40,480
Speaker 1: But people are taking on the right or taking that

718
00:43:40,520 --> 00:43:43,319
Speaker 1: as evidence that he's like hyperwoke. I don't actually think

719
00:43:43,320 --> 00:43:46,440
Speaker 1: there's any evidence that he is. Um. He's tweeted his

720
00:43:46,440 --> 00:43:48,680
Speaker 1: support of like the a c l U a few times,

721
00:43:48,960 --> 00:43:50,799
Speaker 1: but the a c l US like gone to bat

722
00:43:50,840 --> 00:43:53,279
Speaker 1: for the free speech of Nazis. It is very much

723
00:43:53,360 --> 00:43:57,360
Speaker 1: like a free speech absolute dis guide of organization. Um.

724
00:43:57,400 --> 00:43:59,319
Speaker 1: I'm not critiquing them and that I'm just saying, like

725
00:43:59,400 --> 00:44:01,200
Speaker 1: that's a it's it's weird to call the a c

726
00:44:01,400 --> 00:44:03,680
Speaker 1: l U hyper woke when they're really just like we

727
00:44:03,840 --> 00:44:07,640
Speaker 1: defend several of the amendments, not all of them, you know. Yeah,

728
00:44:07,719 --> 00:44:11,320
Speaker 1: I also can't. I just can't think any CEO is hyperwoke.

729
00:44:11,440 --> 00:44:15,640
Speaker 1: I just don't. I don't see evidence the hyperwoke would

730
00:44:15,719 --> 00:44:22,000
Speaker 1: be not being primarily concerned with, you know, your income

731
00:44:22,160 --> 00:44:26,920
Speaker 1: or your growth, like hyper woke would be genuinely caring

732
00:44:27,000 --> 00:44:30,680
Speaker 1: about and I haven't. It's a useless term. What does

733
00:44:30,680 --> 00:44:34,240
Speaker 1: it even mean anymore? Like what do you mean like hyperwoke? Like, yeah,

734
00:44:34,520 --> 00:44:37,439
Speaker 1: police are ship Like what do you like? What is it? Like?

735
00:44:38,160 --> 00:44:40,319
Speaker 1: I don't know, well, you know what it is what

736
00:44:40,360 --> 00:44:44,840
Speaker 1: they're doing trying to say like, oh, this guy is

737
00:44:44,880 --> 00:44:47,120
Speaker 1: going to be just like those people on Worst Year ever.

738
00:44:47,800 --> 00:44:51,279
Speaker 1: I know what hyperwoke? That's depending on who says it.

739
00:44:51,840 --> 00:44:54,560
Speaker 1: That's the thing. Um, it's the same thing with like

740
00:44:55,600 --> 00:44:57,719
Speaker 1: I don't know, it's like s J. W Hipster like

741
00:44:57,800 --> 00:45:04,000
Speaker 1: whatever the word is. It's just useless now, um yeah,

742
00:45:04,040 --> 00:45:06,759
Speaker 1: And that's that's part of the plot because we they

743
00:45:07,480 --> 00:45:10,919
Speaker 1: isn't Like the point the point of this is not

744
00:45:11,400 --> 00:45:13,880
Speaker 1: that anything that this guy has done anything wrong or

745
00:45:13,920 --> 00:45:16,319
Speaker 1: that there's in fact any evidence that he would be

746
00:45:16,440 --> 00:45:20,960
Speaker 1: unfair to conservatives because there's not um. What it is

747
00:45:21,000 --> 00:45:23,920
Speaker 1: about is if you if you accuse him of that

748
00:45:23,960 --> 00:45:26,520
Speaker 1: and attack him for that. Usually the way it works

749
00:45:26,600 --> 00:45:29,319
Speaker 1: on these kinds of people is they then cracked down

750
00:45:29,360 --> 00:45:31,600
Speaker 1: on your opponents in order to make it seem like

751
00:45:31,680 --> 00:45:35,160
Speaker 1: they're being fair and there that maybe what just happened

752
00:45:35,160 --> 00:45:37,560
Speaker 1: to day because because there was a Twitter announced new

753
00:45:37,640 --> 00:45:40,440
Speaker 1: rule today that you'll get banned for posting like what

754
00:45:40,480 --> 00:45:43,400
Speaker 1: they just like pictures of people that they don't consent

755
00:45:43,480 --> 00:45:46,200
Speaker 1: to having up, which, like, depending on how it's interpreted,

756
00:45:46,280 --> 00:45:49,520
Speaker 1: could destroy photojournalism on Twitter. Like it could mean it's

757
00:45:49,520 --> 00:45:52,640
Speaker 1: illegal to take a photo or video of like a

758
00:45:52,680 --> 00:45:56,160
Speaker 1: protest um. It could mean it's illegal to like film

759
00:45:56,200 --> 00:45:58,799
Speaker 1: a guy's shooting into a crowd or something like. We

760
00:45:58,840 --> 00:46:01,640
Speaker 1: don't really know how they would enforce it. It could

761
00:46:01,920 --> 00:46:04,160
Speaker 1: destroy guys like and you know, or it could just

762
00:46:04,280 --> 00:46:06,800
Speaker 1: make it illegal for people to point out when folks

763
00:46:06,800 --> 00:46:09,319
Speaker 1: have neo Nazi ties, and we'll do nothing to harm

764
00:46:09,360 --> 00:46:11,600
Speaker 1: him because they'll decide that him posting people's mug shots

765
00:46:11,640 --> 00:46:13,880
Speaker 1: is in the public interest. We really don't know, Like

766
00:46:13,920 --> 00:46:16,799
Speaker 1: that's the thing. Everybody's like flipping out that this guy

767
00:46:16,920 --> 00:46:19,200
Speaker 1: is clearly so I have we have I have no

768
00:46:19,239 --> 00:46:21,600
Speaker 1: idea where this guys. But also that's part of what

769
00:46:21,640 --> 00:46:24,279
Speaker 1: I mean by like it's preemptive. They start raising a

770
00:46:24,320 --> 00:46:27,880
Speaker 1: stink now then yeah, it's like putting them on guard

771
00:46:27,960 --> 00:46:30,080
Speaker 1: because you know, well, we're going to have to capitulate

772
00:46:30,120 --> 00:46:34,360
Speaker 1: at some point or we can't be seen as being

773
00:46:34,920 --> 00:46:39,160
Speaker 1: uh aligned with progressives. Are you know, not even progressive?

774
00:46:39,840 --> 00:46:44,600
Speaker 1: But you know what I mean the hyper woke? Yeah,

775
00:46:44,640 --> 00:46:49,200
Speaker 1: I mean it's they the most popular like articles every

776
00:46:49,200 --> 00:46:52,600
Speaker 1: single day on Facebook are like the Daily Wire and stuff, um,

777
00:46:52,640 --> 00:46:56,400
Speaker 1: And they let them slip by with their various publication

778
00:46:56,520 --> 00:46:59,160
Speaker 1: rules because they know like it will be yea this,

779
00:46:59,280 --> 00:47:01,440
Speaker 1: then like will complain and then we'll get we'll get

780
00:47:01,440 --> 00:47:03,279
Speaker 1: accused of this, so they have to Yeah, like you're

781
00:47:03,280 --> 00:47:09,400
Speaker 1: saiding like overcorrect um in the other direction, it's cool,

782
00:47:09,760 --> 00:47:16,440
Speaker 1: it's good stuff band. Also like he's like any like

783
00:47:16,640 --> 00:47:20,200
Speaker 1: CEO or like just like oh the CEO hyperwoke? Or

784
00:47:21,520 --> 00:47:26,120
Speaker 1: is he trying to maximize profits and seeing like where

785
00:47:26,200 --> 00:47:29,560
Speaker 1: the wind is blowing, yeah, which which also isn't good,

786
00:47:29,680 --> 00:47:32,040
Speaker 1: but like that's not the same. That's what I mean,

787
00:47:32,080 --> 00:47:34,680
Speaker 1: Like that's the most that's like the best case scenario

788
00:47:34,800 --> 00:47:41,480
Speaker 1: from a CEO best case, it's not. Yeah, I mean, yeah,

789
00:47:41,680 --> 00:47:43,880
Speaker 1: it's just not a thing we know much about, and

790
00:47:43,960 --> 00:47:45,680
Speaker 1: it's not a thing I think one way or the other,

791
00:47:45,719 --> 00:47:47,719
Speaker 1: because yeah, this guy might wind up being horrible and

792
00:47:47,760 --> 00:47:51,719
Speaker 1: a wide variety of reasons. As Jack Dorsey was, Um,

793
00:47:51,800 --> 00:47:54,520
Speaker 1: I just think it's foolish to assume, based on the

794
00:47:54,560 --> 00:47:57,920
Speaker 1: information we have, that this guy has any overarching goals

795
00:47:58,120 --> 00:48:02,759
Speaker 1: other than increasing the engagement and relevance of Twitter. And

796
00:48:03,200 --> 00:48:06,759
Speaker 1: by his definition of those terms, you know, yeah, he

797
00:48:06,800 --> 00:48:09,239
Speaker 1: wants people to stay on the website. Yeah, exactly. That

798
00:48:09,280 --> 00:48:12,560
Speaker 1: means like cracking down on X or Y. He'll do that.

799
00:48:12,600 --> 00:48:15,560
Speaker 1: If it means letting people go hog wild, he'll do that.

800
00:48:15,840 --> 00:48:18,240
Speaker 1: If it means implementing like a rule that people hate

801
00:48:18,680 --> 00:48:20,919
Speaker 1: and then getting rid of it later so that people

802
00:48:20,960 --> 00:48:24,840
Speaker 1: complain on the platform, Like, it's just whatever keeps people

803
00:48:25,239 --> 00:48:30,640
Speaker 1: on ever, keeps people on the website and engaged. Um,

804
00:48:30,680 --> 00:48:33,080
Speaker 1: there is some good news to talk about at the

805
00:48:33,160 --> 00:48:43,360
Speaker 1: end of this. Is it h Maxwell's trial, no Villan's trial.

806
00:48:43,640 --> 00:48:47,759
Speaker 1: But um, there's some some air Wars put out some

807
00:48:47,960 --> 00:48:51,520
Speaker 1: conflict data showing kind of where we are on air

808
00:48:51,560 --> 00:48:56,320
Speaker 1: strikes since like the over the last year that Biden

809
00:48:56,360 --> 00:48:59,239
Speaker 1: has been in office and kind of, um there's here,

810
00:48:59,560 --> 00:49:01,120
Speaker 1: I'll put a linked to the tweet in there so

811
00:49:01,239 --> 00:49:04,719
Speaker 1: you can see it. But um, it's it's good. Uh.

812
00:49:05,480 --> 00:49:09,160
Speaker 1: The like the amount of air strikes being conducted by

813
00:49:09,160 --> 00:49:11,560
Speaker 1: the United States, the event like drone strikes being carried

814
00:49:11,600 --> 00:49:13,520
Speaker 1: out by the United States at the lowest they've been

815
00:49:14,280 --> 00:49:18,920
Speaker 1: like in a very long time. Um since kind of

816
00:49:19,000 --> 00:49:22,520
Speaker 1: unrestricted drone warfare really kicked off. Um Like, if you

817
00:49:22,520 --> 00:49:24,480
Speaker 1: look at where and you know, they dropped, they dropped

818
00:49:24,480 --> 00:49:30,160
Speaker 1: significantly um over the course of yeah, from starting because

819
00:49:30,160 --> 00:49:33,000
Speaker 1: they they escalated massively the first two years that Trump was,

820
00:49:33,440 --> 00:49:35,799
Speaker 1: the first year or so Trump was in office, and

821
00:49:35,840 --> 00:49:39,680
Speaker 1: then started declining after that, and they've dropped down even

822
00:49:39,760 --> 00:49:43,960
Speaker 1: further um since Biden took office. Also, aren't there because

823
00:49:43,960 --> 00:49:50,400
Speaker 1: I thought in U like there were new regulations and

824
00:49:50,480 --> 00:49:54,280
Speaker 1: new rules on how they how drone strikes are reported. Well,

825
00:49:54,320 --> 00:49:57,320
Speaker 1: it was the opposite. It was they they they stopped

826
00:49:57,360 --> 00:50:00,160
Speaker 1: the requirement to report on that. That's what me like,

827
00:50:00,200 --> 00:50:01,759
Speaker 1: I feel like, I feel like that like a lot

828
00:50:01,800 --> 00:50:05,680
Speaker 1: of wars coming from like stuff obviously that the U

829
00:50:05,760 --> 00:50:07,520
Speaker 1: S admits to, but they don't they don't limit like

830
00:50:07,560 --> 00:50:09,920
Speaker 1: air Wars does a pretty good job of like looking

831
00:50:10,080 --> 00:50:12,680
Speaker 1: trying to determine this as best as possible. Okay, so

832
00:50:12,719 --> 00:50:16,000
Speaker 1: it's like not just like these were reported and also

833
00:50:16,160 --> 00:50:20,160
Speaker 1: these and the well actually this chart includes alleged strikes

834
00:50:20,160 --> 00:50:23,600
Speaker 1: and declared strikes, alleged and declared. So air Wars like

835
00:50:23,640 --> 00:50:26,560
Speaker 1: they do a lot of research to attempt to be

836
00:50:26,680 --> 00:50:29,480
Speaker 1: as accurate as possible. Nothing's going to be perfect, but

837
00:50:29,520 --> 00:50:34,600
Speaker 1: this probably is is largely accurate to what's actually happened,

838
00:50:34,640 --> 00:50:37,160
Speaker 1: which is that thing. And some of that's just because

839
00:50:38,280 --> 00:50:41,279
Speaker 1: when when things massively escalated under Trump, um, it was

840
00:50:41,640 --> 00:50:43,560
Speaker 1: we were fighting Isis and Mosel, you know, like that

841
00:50:43,680 --> 00:50:45,480
Speaker 1: was a huge chunk of those and that's part of

842
00:50:45,480 --> 00:50:49,439
Speaker 1: why it started to drop in. Um. There's also been

843
00:50:49,480 --> 00:50:52,680
Speaker 1: you know, we were not in Afghanistan anymore. We've really

844
00:50:52,719 --> 00:50:56,080
Speaker 1: pulled down our presence in Syria. UM. So there's there's

845
00:50:56,080 --> 00:50:58,239
Speaker 1: a number of reasons for this, but it is just

846
00:50:58,320 --> 00:51:02,439
Speaker 1: like we're less people with drones than we were years ago.

847
00:51:02,600 --> 00:51:05,799
Speaker 1: And that's good. That's good. That's something that's good. Good,

848
00:51:06,280 --> 00:51:08,080
Speaker 1: good way to bring it home for us this week,

849
00:51:08,160 --> 00:51:11,360
Speaker 1: Robert Ye, less people are being killed by US drone

850
00:51:11,400 --> 00:51:15,560
Speaker 1: strikes um and that's not the worst news. Take that

851
00:51:15,640 --> 00:51:17,960
Speaker 1: to the bank. Well, don't take that to the bank.

852
00:51:18,000 --> 00:51:20,120
Speaker 1: Don't take that that you have an account here? What

853
00:51:20,120 --> 00:51:21,879
Speaker 1: do you do? What are you telling me this? Where

854
00:51:21,880 --> 00:51:25,439
Speaker 1: did you get this predator drone? Is this some sort

855
00:51:25,480 --> 00:51:29,879
Speaker 1: of n f T How is this? That's the most

856
00:51:29,960 --> 00:51:33,279
Speaker 1: common question. I ask only only go to the bank

857
00:51:33,280 --> 00:51:35,799
Speaker 1: if you have money, Like that's not like I don't

858
00:51:35,840 --> 00:51:39,240
Speaker 1: take this this drone. Don't take this this this conversation.

859
00:51:39,440 --> 00:51:41,800
Speaker 1: Even unless you're going to rob a bank with a drone,

860
00:51:41,840 --> 00:51:46,400
Speaker 1: which I that has to happen. They don't do that. Also,

861
00:51:46,480 --> 00:51:48,759
Speaker 1: don't do that. I'm not telling you to do that.

862
00:51:48,840 --> 00:51:51,640
Speaker 1: But if you did that, it would probably be pretty cool.

863
00:51:53,000 --> 00:51:57,040
Speaker 1: I probably get some would probably be sweet. Look what

864
00:51:57,200 --> 00:51:59,680
Speaker 1: things can be cool? And I'm not endorsing them. I'm

865
00:51:59,719 --> 00:52:02,759
Speaker 1: just saying if somebody robbed a bank with drones, that

866
00:52:02,800 --> 00:52:06,520
Speaker 1: would probably be pretty rad. So you're saying n f

867
00:52:06,560 --> 00:52:08,879
Speaker 1: T s are cool, you just don't endorse them. If

868
00:52:08,880 --> 00:52:12,279
Speaker 1: they funded their drone bank robbery scheme by selling n

869
00:52:12,320 --> 00:52:14,360
Speaker 1: f T s, I guess those n f T s.

870
00:52:14,480 --> 00:52:16,799
Speaker 1: I would think we're cooler than other n f T s.

871
00:52:17,120 --> 00:52:19,879
Speaker 1: Because we got a real world drone bank robbery out

872
00:52:19,880 --> 00:52:21,520
Speaker 1: of and then there will be a show with all

873
00:52:21,560 --> 00:52:26,279
Speaker 1: these little different drone flyte to know. Yeah, there's a

874
00:52:26,320 --> 00:52:31,840
Speaker 1: lot of really exciting cont if the problem. If the

875
00:52:31,920 --> 00:52:34,520
Speaker 1: promise of n f t s was just more creative,

876
00:52:34,520 --> 00:52:37,560
Speaker 1: crowdfunded bank robberies, I think I would probably not be

877
00:52:37,640 --> 00:52:40,000
Speaker 1: critiquing them so hard and we wouldn't have all watched

878
00:52:40,080 --> 00:52:43,719
Speaker 1: that eight minute cartoon. In twenty years from now, n

879
00:52:43,760 --> 00:52:46,480
Speaker 1: f t s are going to fund the revolution somehow.

880
00:52:46,520 --> 00:52:51,000
Speaker 1: It's called content creation and we create it. Yeah, the

881
00:52:51,080 --> 00:52:55,959
Speaker 1: human desire calling it for today no more. This is fun,

882
00:52:56,520 --> 00:53:01,239
Speaker 1: so fun um at Worst Year pod online in you

883
00:53:01,320 --> 00:53:04,799
Speaker 1: know the things you've already followed us, You already know

884
00:53:04,920 --> 00:53:08,680
Speaker 1: it online rate and review. I've been told that's a

885
00:53:08,680 --> 00:53:16,760
Speaker 1: good thing to say everything everything so dull. It's again.

886
00:53:18,920 --> 00:53:23,200
Speaker 1: I tried Dan. Worst Year Ever is a production of

887
00:53:23,239 --> 00:53:25,959
Speaker 1: I Heart Radio. For more podcasts from my heart Radio,

888
00:53:26,080 --> 00:53:29,040
Speaker 1: visit the I heart Radio app, Apple Podcasts, or wherever

889
00:53:29,080 --> 00:53:30,440
Speaker 1: you listen to your favorite shows.