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Speaker 1: Hello the Internet, and welcome to season episode five up

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Speaker 1: Dear Daily sight Geist, a production of I Heart Radio.

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

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Speaker 1: into America's share consciousness and say, officially, off the top,

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Speaker 1: fuck coke Industries and fun Fox News. It's Friday, July. En.

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Speaker 1: My name is Jack O'Brien a k wom. There was

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Speaker 1: this Jack at a daily podcast with his good friend

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Speaker 1: my It was great and when they dropped their hot take,

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Speaker 1: folks said, it's just a second rate hotodcast. Didn't even

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Speaker 1: phase then. They'd always just know that, all right, as

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Speaker 1: courtesy of Mitch Wheeler, and I'm thrilled to be joined

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Speaker 1: as always by my co host, Mr Miles Grag. I

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Speaker 1: can't sing after that because all I can say is

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Speaker 1: welcome Jack. I don't know you can say yeah, I

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Speaker 1: know that was I was about to do a mask

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Speaker 1: and I was like no, but you know what I

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Speaker 1: do want to say. I've been getting so many magic

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Speaker 1: eye tips. Thank you that I am. I was gray

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Speaker 1: a k probably open my magic ie Grey, thank you too,

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Speaker 1: saying for that one. Are you able to have you

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Speaker 1: been able to see man? I'm still I'm not able

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Speaker 1: to see that ship and he's like, look, look at

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Speaker 1: your phone. Looked past the image and then like begin

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Speaker 1: to look less like focus. I don't know, man, you

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Speaker 1: gotta look at the like beyond it. I remember all

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Speaker 1: that ship and then I just learned it. I just

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Speaker 1: did it on my own, just naturally came to me.

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Speaker 1: M But you know, my atontress said, I've got a

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Speaker 1: talent for that ship. So we're thrilled to be joined

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Speaker 1: in our third seat by the hilarious us and talented

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Speaker 1: Mr Jackies. Now here it is presence of Jackies is nil.

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Speaker 1: Presidents of Jackies is nil. In Oh, that's that's that's

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Speaker 1: that's it, that's it. He was telling me. He was

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Speaker 1: telling me what it was in the rhythm of like

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Speaker 1: I wouldn't know, in the rhythm of the presence of

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Speaker 1: the Lord. Because I'm bringing the Gospel to you, guys. Yeah,

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Speaker 1: We're bringing the Good Lord of Jesus Christ here on

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Speaker 1: the daily's like, guys today, guys, what's up? What's up? Man?

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Speaker 1: How are you? We've been starting off our show recently

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Speaker 1: just telling each other about the story about when we

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Speaker 1: let Christ into our heart. We have lost five hundred

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Speaker 1: thousand listens already. Actually gained a few can the Bible

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Speaker 1: belt Yeah, yeah, I like their jokes. They speaking like

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Speaker 1: live jokes the whole time, speaking of gaining and losing

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Speaker 1: and belt jackis you look amazing, dude? Oh man lost

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Speaker 1: crack crack keto is real. I don't know, man, I'm

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Speaker 1: trying to be like super producing on over here on

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Speaker 1: the keto life looking amazing. Look at this side of

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Speaker 1: the table. Well, you got this making me feel like

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Speaker 1: I should do it. I may never will, Zack. I

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Speaker 1: could lose thirty more pounds and you will still be

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Speaker 1: skinnier than I am. Right now, you're saying it's like

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Speaker 1: all about your lifestyle. That's that's true. That's true. I

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Speaker 1: feel great. Yeah, And you were just saying you feel

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Speaker 1: like ship all the time, just always all right. We're

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Speaker 1: gonna get to know you a little bit better in

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Speaker 1: a moment. But first we're gonna talk about the coming

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Speaker 1: heat wave. We're going to talk about the fact that

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Speaker 1: franchisees are begging McDonald's head office for something that they're

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Speaker 1: not providing. We're going to talk about a distraction update

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Speaker 1: from how the president's racism is being used to distract.

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Speaker 1: We're just gonna talk about the President being racist. We're

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Speaker 1: gonna talk about Bill Barr. Uh. We're gonna talk about

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Speaker 1: the it being the fiftieth anniversary of the moon landing hoax.

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Speaker 1: Now we're gonna give the background on Stanley theory. Uh.

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Speaker 1: We're gonna talk about Ricky leaks. We're gonna talk about

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Speaker 1: the Alpha zero Paradox, which is just some cool ship

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Speaker 1: I read about and I can't not talk about it now,

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Speaker 1: so I'm gonna talk to you guys about that. We're

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Speaker 1: gonna talk about Game of Thrones. We're gonna talk about

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Speaker 1: foodie calls, which is booty calls for food, not uh

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Speaker 1: like a romance hotline where you talk to Is that

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Speaker 1: what it is for real? No, it's it's uh food

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Speaker 1: booty calls. Ok, yeah, foodie calls. The The other option

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Speaker 1: would be you like call some bearded dude in Brooklyn

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Speaker 1: and he tells you about like his bespoke pickle, but

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Speaker 1: slow and like, you know anybody who is pickling their

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Speaker 1: own ship? No, man like making their own pickles. Do

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Speaker 1: you know anybody who's making them pickles? I hope not.

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Speaker 1: Do you know anybody anybody? I feel like, do you

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Speaker 1: I know some people who? Yeah? You know you. Actually,

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Speaker 1: Actually it's like a hip person who's like, you know,

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Speaker 1: I started to make my own pickles. I know somebody

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Speaker 1: who makes their own jam. Oh yeah, and has been

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Speaker 1: for a long time. I know somebody who makes their

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Speaker 1: own toothpicks and it's proud as hell. He makes his

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Speaker 1: own toothpicks and he makes them flavored. He's like, yo,

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Speaker 1: you want a toothpick? Like put the ship in your mouth,

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Speaker 1: Like are they impressive? They're strong man, They're impressive. They're impressive.

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Speaker 1: They do they taste good? I mean they taste like

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Speaker 1: would so like it tastes yeah, it tastes like it

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Speaker 1: tastes like a sense. It tastes like a minted wood.

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Speaker 1: Is the toothpick? Is this person manufacturing the toothpick? Also

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Speaker 1: they're taking already made too, he's manufacturing them. He's like

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Speaker 1: making no idea exact don't said that? Like the question

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Speaker 1: how do you make a toothpick without like wasting a

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Speaker 1: shipload of wood, because you don't you have to like

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Speaker 1: carve it down from a cookie pressed. We can just

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Speaker 1: be like and I pressed a thousand toothpicks out of

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Speaker 1: this way, or maybe it is maybe they just used

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Speaker 1: woodpulp Anyways, this is Woodworkers Zeitgeist The Daily Woodworker. But first,

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Speaker 1: before we get to any of that, ship, we're gonna

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Speaker 1: ask you what is something from your search history that's feeling?

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Speaker 1: Oh ship, No, you know what I here's the last

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Speaker 1: thing I google search Ellen degenerous is mean? Yeah, you

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Speaker 1: wanted to confirm that. I wanted to You just wanted

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Speaker 1: to tell Google. I just wanted to tell Google, Like Google,

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Speaker 1: let me, I know what you think, but let me

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Speaker 1: tell you what's up. I think you should be talking about.

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Speaker 1: This is that is that has been the in Hollywood circles.

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Speaker 1: I've met a person who has worked on that show

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Speaker 1: in a creative capacity who said, yeah that it's like,

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Speaker 1: oh I love it. Yeah, it's pretty bad. They're a

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Speaker 1: little aggressive. I don't know. I mean, here, here's the thing.

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Speaker 1: So I've been watching Game of Games lately for whatever reason,

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Speaker 1: Hulu and she and you know, like you know, we're

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Speaker 1: in an industry, so we can kind of start to

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Speaker 1: see through like fake niceness and you can tell like

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Speaker 1: she's just doing the job, which is fine, Like, which

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Speaker 1: is fine, That's what she is supposed to do. She's

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Speaker 1: doing the job. But I just want to be like Yo,

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Speaker 1: I wonder is this like on the internet, like does

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Speaker 1: she mean it is? People are written articles about it.

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Speaker 1: But then there's one defense that they came to to her,

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Speaker 1: and I was like, all right, I can feel that,

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Speaker 1: which was what it was, just like she's a sixty

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Speaker 1: one year old woman and like everybody just suspects her

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Speaker 1: to smile and dance all the day time. It's like,

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Speaker 1: how many sixty year old woman just like get walked

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Speaker 1: up to and me like, yo, dance for me, monkey

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Speaker 1: like now. But but the flow side to that is

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Speaker 1: that's the fans, like a fan, yeah, be nice of

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Speaker 1: the people who are working for you like that. Can

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Speaker 1: you imagine sixty one and having that expectation. It's wild.

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Speaker 1: Even in my thirties, I'd be like, please don't ask

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Speaker 1: me to smile or yeah, dude. It's why I just

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Speaker 1: knew she was mean because she looks so good, Like

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Speaker 1: she doesn't look like she's sixty one, so I figure

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Speaker 1: she's got to be doing some dark arts. I had

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Speaker 1: a reaction actually when you said sixty one, I was like, what,

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Speaker 1: I know, it's wild. Looks she looks great. She looks great,

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Speaker 1: or in Tom Cruiser doing some weird rituals to say antology. Uh,

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Speaker 1: what is something you think is overrated? Overrated? Celebrity love?

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Speaker 1: Celebrity love is overrated? Okay, which isn't that big of

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Speaker 1: a revelation? Dropped the bomb? Dropped the bomb on that

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Speaker 1: celebrity love. What do you mean our love for celebrities?

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Speaker 1: I love for celebrities and I love for our love

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Speaker 1: for celebrities in many ways. Uh. One way, it's like

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Speaker 1: the para social aspect of people loving celebrities and then

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Speaker 1: thinking you know them type thing. The second one is,

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Speaker 1: let's take Bagel Boss for instance, how this nigga like

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Speaker 1: acted terribly and now he's getting like celebrity signance to

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Speaker 1: fight and ship like that and getting and this is

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Speaker 1: way beyond just oh this is a viral video, uh,

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Speaker 1: and is deeper than that even but just the way

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Speaker 1: we're willing to jump on popular ship and people and

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Speaker 1: hype them up like they're important, it's so insane. And

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Speaker 1: then even beyond that, like the entitlement. Think about I

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Speaker 1: was on Twitter there's uh, there's this wrestler called her

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Speaker 1: name is uh Naomi and some was like, yo, you're

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Speaker 1: a mean as I tried to get a picture with

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Speaker 1: you and you didn't take a picture with me, And

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Speaker 1: she was like, well, first of all, that's because you

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Speaker 1: were calling me about the wrong name four or five times.

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Speaker 1: You were calling me Carmelo, which is a white wrestler

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Speaker 1: and I'm a black wrestler. Uh. And too, you like

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Speaker 1: forced the camera in my face and I still took

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Speaker 1: a picture with you, and you wanted to take another

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Speaker 1: one and I didn't let you. Like that. Entitlement is

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Speaker 1: so crazy with like you're a celebrity, I make you

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Speaker 1: your so like everything about it, like every the It's

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Speaker 1: so crazy. Both sides of the transaction is so wild. Yeah,

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Speaker 1: isn't Bagel boss? He's supposed to fight another celebrity or

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Speaker 1: another Yeah, he's signed a deal. Yeah, I'm actually having

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Speaker 1: people over for the pay per view. You got our video, Miles.

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Speaker 1: You want to fight him? Man, I'm fun that dude up, dude,

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Speaker 1: I would love to fight him. I would love to

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Speaker 1: fight him, but it's it's not a fair one. I

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Speaker 1: have literally a fucking foot of height on him. Yeah,

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Speaker 1: so you know, like I would pay to see it.

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Speaker 1: I would pay to see it. Yeah, side gang, where

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Speaker 1: you at put the purse together? You know what? I

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Speaker 1: could fight him with only my legs arms. I kicked

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Speaker 1: the ship out of just doing those moves from blood Sport. Yeah, exactly,

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Speaker 1: I'll bottle. I mean I think people, do you know,

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Speaker 1: tend to like that. That's the thing that people say

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Speaker 1: that like we're too obsessed with celebrity. But I don't

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Speaker 1: think people respect how bad it is. Like, I mean,

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Speaker 1: it might end up being the thing that brings America

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Speaker 1: down because of like who our president. It's just you know,

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Speaker 1: it's it would be fitting though, you know, sadly, I

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Speaker 1: just don't want to be here to witness that terrible

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Speaker 1: fall in the midst of it. But you know, like

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Speaker 1: all the founding fathers and all the like the ship

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Speaker 1: that America was built on was like not giving any

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Speaker 1: person so much power, and our our whole system now

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Speaker 1: is like designed to just like turn these people into gods. Yeah,

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Speaker 1: are you a star? You want to rule everything? Exactly?

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Speaker 1: I mean Kanye knew no one man should have all

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Speaker 1: that power. It's true, Kane. Ever since then? Yeah, what

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Speaker 1: unless it's me? What does something you think is underrated?

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Speaker 1: Ready for this? No? No, no, no, no, Bacon, Oh

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Speaker 1: wowow underrated? Let me tell you, sir, Let me tell

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Speaker 1: you something about bacon. Let me tell you something. Who go,

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Speaker 1: whoever edited, whoever is editing this, put some music under

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Speaker 1: this music on this. Let me give you away. I'm

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Speaker 1: gonna give you oh to bacon, Bacon. Everybody says they

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Speaker 1: can love you, but do they really want vegetarians because

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Speaker 1: you don't like me. Damn, this anger inside of me

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Speaker 1: is feeling like he eat bacon. I wake up in

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Speaker 1: the morning, stomach growling, Go to the refrigerator, see a

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Speaker 1: piece of pig my mouth is how I put it

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Speaker 1: on the skillet fox five pieces. Damn you know what

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Speaker 1: I'm feeling. I'm feeling chocolate like esus. Bacon is so good.

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Speaker 1: I can eat it all day, breakfast, lunch, or dinner.

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Speaker 1: I can even eat it with that whoa bacon bacon

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Speaker 1: ba snap your finger snap bacon is no I knew it,

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Speaker 1: but I just want people. I listen. Everybody says they

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Speaker 1: love bacon, but bacon, bacon, Bacon gets a bad rap

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Speaker 1: for this reason. We tried to cook it in too

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Speaker 1: many different ways, like I used to microwave bacon. It

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Speaker 1: did because it was like it was like it's a shortcut.

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Speaker 1: I want bacon, but I don't want to put the

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Speaker 1: time right. And then you also get like all these

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Speaker 1: abominations and bacon, like sugar free bacon, and and and

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Speaker 1: sugar free. They're sugar free bacon. Have you ever gonna

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Speaker 1: hold thirty that's all they can eat, and all these

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Speaker 1: other bacons, and you know what, just give me some

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Speaker 1: good bacon. Put it on the skillet. You can eat

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Speaker 1: about four or five of them. You're like crispy. Yeah,

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Speaker 1: I like crispy. I like I like rubbery, I like uh,

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Speaker 1: I like I like I like everything in between. That

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Speaker 1: ship can almost be raw. I don't care medium. My

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Speaker 1: fiancee was eating bacon the other like last week, and

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Speaker 1: she choked on it, which sounds terrible, but like it

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Speaker 1: was really it was too loose, like it went down

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Speaker 1: the wrong and that was like we were at a

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Speaker 1: Brazilian we were at Brazilian barbecue joint and it was

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Speaker 1: turkey wrapped bacon and wrapped. I know, it was delicious,

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Speaker 1: herkey wrapped or bacon wrapped. I was like, bacon rap

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Speaker 1: this place. Yeah yeah, And she ate it and like

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Speaker 1: start choking on because one of the pieces of bacon

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Speaker 1: wasn't cooked like too hard down the wrong throat or

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Speaker 1: the wrong whatever and she pulled it out. It was scary,

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Speaker 1: and then immediately start eating bacon again. And I was like,

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Speaker 1: that's why I love you. Like you choked on it

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Speaker 1: almost the thing that came out, And I don't love

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Speaker 1: nothing that much. You're looking at somebody too good. You

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Speaker 1: want to keep that ring on your girl, someone you

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Speaker 1: like jump directly. Let me tell you something, dude. When

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Speaker 1: she started choking, it puts so much it in perspective

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Speaker 1: for me, uh that, like, I'm not equipped to help

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Speaker 1: anybody right Like, she started choking and all I did

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Speaker 1: was got up and started patting her on the back

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Speaker 1: like and like started yelling at help. And I was like, yo,

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Speaker 1: if we were alone right now, she the one who

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Speaker 1: got the ship out. She like dugging her down throat

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Speaker 1: and pulled it out. I was like, I didn't do

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Speaker 1: a dace, Like, if it was up to me, you

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Speaker 1: would have been dead. I think you said. All I

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Speaker 1: could do is I got up, I got my phone out.

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Speaker 1: Look at this girl choking live right now? We live

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Speaker 1: those hearts going. What is a myth? What's something people

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Speaker 1: think it's true you know to be false or vice versa.

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Speaker 1: Here's a myth that the Lakers are going to win

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Speaker 1: the championship in the next five years. Wow, they won't.

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Speaker 1: They won't. I believe that they won't. I believe it,

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Speaker 1: and I don't believe it. But if if I think

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Speaker 1: I think Lebron's championship run is over, I think the

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Speaker 1: well is We're undry. I think it's gonna be a

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Speaker 1: whole bunch of salty as Laker fans when the Lakers

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Speaker 1: don't make it to the finals for the next two

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Speaker 1: to three years. Uh. And I can't wait for it.

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Speaker 1: I can't wait for And this isn't even Lebron hate.

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Speaker 1: I don't hate Lebron. I've actually come around to Lebron.

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Speaker 1: I'm not rooting for him because he still kicked my

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Speaker 1: ass so much as a Bulls fan, but I don't

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Speaker 1: root against him either. Like Lebron is, Lebron is a guy.

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Speaker 1: Lebron is the goat. Uh. But as he softened your

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Speaker 1: view on the Lakers because he's on the Lakers, he

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Speaker 1: has made me hate the Lakers more. And that's mostly

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Speaker 1: because the Laker paradoxical right right as mostly because the

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Speaker 1: Laker fans like you got the greatest player in the

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Speaker 1: past twenty five years on your team and second best

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Speaker 1: get out and they still trashed. They had a D

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Speaker 1: and kawide income and Laker fans were still yea, like

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Speaker 1: y'all got a D two days ago. So because of

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Speaker 1: that that karma, Well, I think, you know, and I

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Speaker 1: say this, and I've said this on Culture Kings too.

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Speaker 1: There's just there's many. There are two types. I think

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Speaker 1: of Laker fans. They're the ones who got in, like

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Speaker 1: in the Shaq Kobe era and thought, well, this is

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Speaker 1: gonna be a dynasty forever and there will always be

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Speaker 1: a winning teams, the new Patriots. And then you have

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Speaker 1: people like me, locals who have sat through fucking desert

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Speaker 1: drafts of like the Randy fund era right after pat

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Speaker 1: Riley into Del Harris and those other coaches. And I

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Speaker 1: was like, for what, I was like, I like the

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Speaker 1: Lakers when we don't win or whatever, fuck it. And

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Speaker 1: I think also too, but the people who like are

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Speaker 1: so gassed up where they're just like the Lakers are

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Speaker 1: you know, infallible and they should be the greatest team

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Speaker 1: and they need to be here and blah blah blah.

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Speaker 1: All these other teams like no, it's too toxic and

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Speaker 1: it's not realistic, not realistic, And I guess that's what

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Speaker 1: it is too if you're not if you can't be

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Speaker 1: I mean, look, obviously being a fan of the team

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Speaker 1: is you can't really be objective, but at least understand

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Speaker 1: like where the where we're at in this sort of

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Speaker 1: evolution of the team. Then yeah, and then and then too.

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Speaker 1: Here's an argument that I hate when I'm like, I

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Speaker 1: hope you all don't win ship for long as is

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Speaker 1: whenever they throw out like the man, we got sixteen championships, man.

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Speaker 1: Six of those championships came before people knew how to

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Speaker 1: dribble of basketball. I don't get no funk about them.

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Speaker 1: Championships from the forties and fifties and six George and

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Speaker 1: George Mike and across the fun Lakers like get out

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Speaker 1: of here, man. True that that's where some of their

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Speaker 1: championshieople were running on the court. The ten championships came

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Speaker 1: during the Magic Area, and ten came doing the Kobe era.

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Speaker 1: And those are the ten that are added the other

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Speaker 1: six like the show time I mean, sorry, five and five,

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Speaker 1: which makes ten like the other six wasn't the George

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Speaker 1: Mike in the years the Jerry West Year and that

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Speaker 1: was good. They also sucked bad, hey rings or rings,

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Speaker 1: rings and rings though, but like, I don't want to

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Speaker 1: hear the sixteen, like the whole twenty seven Yankees championships

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Speaker 1: twenty seven rings. Bro, Yeah, that's like, don't I'm not

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Speaker 1: counting any championship before black people are allowed to play

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Speaker 1: baseball was changed about basketball too, It's like, well, what

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Speaker 1: was peentage of black people in the league? Was that

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Speaker 1: the NBA? Yeah, I do that direct league for white people.

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Speaker 1: I do have to say, since you were talking about

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Speaker 1: drafts and Lakers history, Lakers have the shortest droughts, like

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Speaker 1: like even after pat Riley like magic took the Lakers

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Speaker 1: to the finals against who Jordan's Yeah, but then when

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Speaker 1: the Bulls were like in last place for a number

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Speaker 1: of years, the Lakers had Kobe and Shack And when

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Speaker 1: I guess it's just I guess more like my expectation.

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Speaker 1: I don't get as fucking angry, like I feel like

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Speaker 1: the fucking world owes me a ring or something where

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Speaker 1: I think people that's a function of the dynasties that

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Speaker 1: have existed before, where I'm like, yeah, ship ebbs and flows.

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Speaker 1: So when it's fucking and for me, I get nervous

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Speaker 1: when I see all these Like if we got Kauai,

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Speaker 1: I was gonna be more nervous because the Lakers don't

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Speaker 1: do great when the when the roster on paper looks

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Speaker 1: really good. Typically those have been some awful fucking teams.

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Speaker 1: I mean, granted, Kobe and Shacks different, but like the

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Speaker 1: fucking Karl Malone, Gary Payton fucking fiasco, or Steve Nash

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Speaker 1: and Dwight Howard. I'm just remember at the time, I

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Speaker 1: was like, here we go, and then I was like, oh, no,

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Speaker 1: Sending Boys. Got Moyat Pistons, right, but no superstar Pistons.

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Speaker 1: What a weird team. I alright, let's take a quick

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Speaker 1: break and we'll be right back with some non NBA conversation.

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Speaker 1: And we're back. And as of yesterday, I feel like

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Speaker 1: Trump so like Ivanka got to him or something, because

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Speaker 1: he's the headline on Drudge yesterday morning was Trump turns

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Speaker 1: on Mega. This is what oh in regards to the

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Speaker 1: center back. Yeah, because he said he was quote not

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Speaker 1: happy with the chant that would have been louder, and

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Speaker 1: he also said he had tried to cut at it off,

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Speaker 1: which the New York Times pointed out as a claim

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Speaker 1: contradicted by video of the event by him. Right Boy

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Speaker 1: was Happy. Asked why he did not stop the chant,

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Speaker 1: Trump said, I think I did. I started speaking very quickly,

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Speaker 1: whereas in fact, the crowd ward center back and Mr

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Speaker 1: Trump looked around and seemed to bask in the in

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Speaker 1: the enthusiastic refrain. Uh So, I don't know. I don't

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Speaker 1: know where this dissonance is coming from, Like somewhere in

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Speaker 1: his life somebody was like this is a bad look

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Speaker 1: or like that. Yeah, they're like if you want to

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Speaker 1: even try to pretend you're not a racist, but when

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Speaker 1: everyone knows you are. But if I mean, you're running

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Speaker 1: out of hands to play. Yeah, it's also crazy how

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Speaker 1: bold their lives are. Like his son the other day

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Speaker 1: was saying some shit about you know, nine of the

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Speaker 1: country agrees with just like bro, Like, why why you

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Speaker 1: being that hyperbolic? Even if you would have just sa

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Speaker 1: I would've been like, yeah, okay, the ninety five dude,

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Speaker 1: and you want us to believe that he just bode faceline.

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Speaker 1: I think he was trying to refer to like the

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Speaker 1: ninety percent plus approval rating among Republicans. Maybe, but that's

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Speaker 1: not the that's not the country, that's a party who is. Yeah, sure,

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Speaker 1: nine out of ten racists agree, yeah, as as wild

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Speaker 1: my chin is there. Um, it's so crazy how he's

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Speaker 1: trying to pretend. I don't get. I don't know, man,

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Speaker 1: I don't know. This is the problem is most of

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Speaker 1: civilized the civilized earth, has acknowledged racism as acceptable, So

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Speaker 1: you can't. It's not there's no way for them to

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Speaker 1: like both. They can't say racism is bad and we're racist,

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Speaker 1: but not see their own acts as being bad. It's

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Speaker 1: just a fucking They're in a really weird place logically

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Speaker 1: trying to reason their actions but deny that they are

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Speaker 1: just on the face of it, just racist. I mean,

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Speaker 1: here's the thing, dude, I look at it like this.

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Speaker 1: You get a meter of ten, right, and whenever his

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Speaker 1: meter tips over tin, that's when, like everybody comes and says, yo,

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Speaker 1: you gotta apologize for that. Until that happens, they don't

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Speaker 1: give it. Here's here's the funny thing. Here's what I

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Speaker 1: don't understand. I wish people would stop saying shit like, yo,

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Speaker 1: you a racist motherfucker, and you know it, I don't

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Speaker 1: have And then they say I don't have a racist

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Speaker 1: bone in my body. That's because they don't believe they're racist.

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Speaker 1: They don't believe they racist. They believe in everything that

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Speaker 1: they say, and to them, that's not racism. Racism to

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Speaker 1: think a lot of white people, especially in America, is

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Speaker 1: I'm not killing somebody because of their skin. That's racism.

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Speaker 1: Me discriminating against somebody, or me calling the police on

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Speaker 1: a person of color, because I feel like that's not

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Speaker 1: that's not born out of my racism, because racism. I

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Speaker 1: think that's the line. I think, because it's clearly not

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Speaker 1: about speech that that's not racism. I think acts, I mean,

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Speaker 1: I think that's probably the next frontier for them to

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Speaker 1: fucking forge and just be like, oh, that was a

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Speaker 1: racist attack that claims somebody's life. And again that happened

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Speaker 1: in Charlottesville, even though the victim may have been white,

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Speaker 1: but plowed through a crowd of people who are counter

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Speaker 1: protesting racist and it's been like, well, you know, that's

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Speaker 1: they I don't know, I don't know, you know, they

421
00:25:28,040 --> 00:25:30,159
Speaker 1: were good people. That's a bad egg. But if you

422
00:25:30,200 --> 00:25:32,000
Speaker 1: look at this a lot, we're all bad eggs. So

423
00:25:32,040 --> 00:25:34,520
Speaker 1: I don't want me to do Yeah, yeah, we'll see

424
00:25:34,720 --> 00:25:40,680
Speaker 1: it's a it's a very interesting process of I don't know, regression.

425
00:25:41,280 --> 00:25:44,720
Speaker 1: We're gonna be salty when he wins. Still, that's the

426
00:25:44,840 --> 00:25:48,920
Speaker 1: that's the scary parts. We're gonna bet and he wins

427
00:25:48,920 --> 00:25:52,719
Speaker 1: again because our side can't get our ship together. All

428
00:25:52,720 --> 00:25:55,199
Speaker 1: you're gonna do is when Nancy Pelosi was like, ah,

429
00:25:55,359 --> 00:25:58,440
Speaker 1: the words that he said, we're racist, it's like what

430
00:25:58,680 --> 00:26:03,280
Speaker 1: m m m m m m m. She's uh, yeah,

431
00:26:03,400 --> 00:26:07,440
Speaker 1: her being dismissive of of the base of her party.

432
00:26:07,680 --> 00:26:11,240
Speaker 1: It's it's like the opposite of what Trump is doing. Well. Yeah,

433
00:26:11,359 --> 00:26:13,640
Speaker 1: but I think both sides, like you know, in terms

434
00:26:13,720 --> 00:26:18,000
Speaker 1: of Republicans or Democrats at that age of that generation,

435
00:26:18,160 --> 00:26:20,880
Speaker 1: racism isn't is still like they don't think it's real

436
00:26:20,920 --> 00:26:23,439
Speaker 1: to people. Still, that's why it's easy to be like, no,

437
00:26:23,560 --> 00:26:25,560
Speaker 1: that's not racist, and for them they don't like for

438
00:26:25,560 --> 00:26:28,639
Speaker 1: for Pelosi it's like, I mean, it's bad, but you

439
00:26:28,680 --> 00:26:31,359
Speaker 1: know whatever, we'll get past it. Rather than seeing like

440
00:26:31,440 --> 00:26:33,680
Speaker 1: many people in the country see this ship are like, Yo,

441
00:26:33,800 --> 00:26:36,800
Speaker 1: this is a fucking this is terrible. This is the

442
00:26:36,840 --> 00:26:41,320
Speaker 1: fucking beginnings of going you know, a hundred years back instantly,

443
00:26:41,720 --> 00:26:43,760
Speaker 1: and you know, maybe we'll go three hundred years back,

444
00:26:44,520 --> 00:26:48,680
Speaker 1: thing that gets people shot and killed, especially in like now,

445
00:26:49,000 --> 00:26:52,000
Speaker 1: especially with this full court press on vilifying Ilhan omar

446
00:26:52,119 --> 00:26:55,280
Speaker 1: It's just it's fucked up. And you think that they

447
00:26:55,320 --> 00:26:58,000
Speaker 1: would do more to to speak out against this, especially

448
00:26:58,000 --> 00:27:01,800
Speaker 1: when like the government will even take actions against companies

449
00:27:02,119 --> 00:27:04,920
Speaker 1: or people and companies who would behave this way right.

450
00:27:05,000 --> 00:27:07,600
Speaker 1: But again, you know, well, it's hard for me to

451
00:27:07,640 --> 00:27:12,199
Speaker 1: take Nancy Pelosi seriously when a week ago she was

452
00:27:12,240 --> 00:27:14,840
Speaker 1: telling these four congresswomen to sit down and your place,

453
00:27:15,440 --> 00:27:17,720
Speaker 1: you know, so, so like I don't want to hear

454
00:27:17,800 --> 00:27:22,240
Speaker 1: I don't want to hear your your fake uh rebuke

455
00:27:22,680 --> 00:27:25,760
Speaker 1: of Trump because because you know what Trump is doing,

456
00:27:25,800 --> 00:27:28,840
Speaker 1: he using your actions and putting them in his goddamn tweets,

457
00:27:29,080 --> 00:27:32,400
Speaker 1: just like Nancy Pelosi said. Even Nancy Pelosi think these

458
00:27:32,440 --> 00:27:34,320
Speaker 1: women are blah blah blah, and it's like, yo, you're

459
00:27:34,320 --> 00:27:37,960
Speaker 1: giving him fuel to the fire, So shut your ass out. Yeah,

460
00:27:38,640 --> 00:27:42,240
Speaker 1: And I mean the Democrats are asking for increased security

461
00:27:42,320 --> 00:27:47,679
Speaker 1: for Ilahan omar Um and I mean rightly so, because

462
00:27:48,080 --> 00:27:52,080
Speaker 1: that was fucking terrifying, just the visceral like anger and

463
00:27:52,119 --> 00:27:55,320
Speaker 1: hatred in the crowd when he just mentioned her name,

464
00:27:55,440 --> 00:27:58,760
Speaker 1: so uh, scary ship, and we're all, yeah, we're already

465
00:27:58,800 --> 00:28:01,439
Speaker 1: going down that slope, just like many fascist countries do.

466
00:28:01,600 --> 00:28:05,640
Speaker 1: Or begin saying who's an American and who's not in Well,

467
00:28:05,680 --> 00:28:09,480
Speaker 1: Bill Barr, who is, you know, Trump's attorney general? And

468
00:28:09,520 --> 00:28:13,920
Speaker 1: I think the answer to the really terrifying question people

469
00:28:13,960 --> 00:28:16,160
Speaker 1: had of like what would it be like if Trump's

470
00:28:16,200 --> 00:28:20,800
Speaker 1: administration was actually competent, then we'd really be fucked. Bill

471
00:28:20,880 --> 00:28:24,879
Speaker 1: Barr is actually very good at doing the evil he does. Uh,

472
00:28:25,280 --> 00:28:29,639
Speaker 1: Like with this, uh, the asylum legislation they're trying to

473
00:28:29,640 --> 00:28:32,359
Speaker 1: get past. You know, I was listening to national security

474
00:28:32,720 --> 00:28:35,720
Speaker 1: commentators saying that, like that is actually a really shrewd

475
00:28:35,800 --> 00:28:39,760
Speaker 1: and smart way to do the horrible thing they're trying

476
00:28:39,800 --> 00:28:44,600
Speaker 1: to do, basically from a legal perspective, saying that other

477
00:28:44,680 --> 00:28:48,560
Speaker 1: countries need to you know, take people who are seeking

478
00:28:48,560 --> 00:28:52,760
Speaker 1: asylum in or at least deny their asylum claim, or

479
00:28:53,200 --> 00:28:55,600
Speaker 1: you know, people have to seek asylum in the countries

480
00:28:55,640 --> 00:28:58,400
Speaker 1: they passed through. It was like a very shrewd, horrible move.

481
00:28:58,520 --> 00:29:00,800
Speaker 1: But well, yeah, because they're just trying to end the

482
00:29:00,880 --> 00:29:04,680
Speaker 1: process for people to legally countries like no, no, no no,

483
00:29:04,840 --> 00:29:08,000
Speaker 1: that that's that's not really happening anymore. And these are

484
00:29:08,040 --> 00:29:10,840
Speaker 1: things that have been like agreed in fucking like the

485
00:29:10,960 --> 00:29:15,200
Speaker 1: U N and ship but you know, use a tricky

486
00:29:15,280 --> 00:29:18,520
Speaker 1: legal ship to to completely shut the borders down. So,

487
00:29:18,560 --> 00:29:21,840
Speaker 1: speaking of being good at being evil, Bill Barrett turns

488
00:29:21,880 --> 00:29:26,560
Speaker 1: out was donating to it was donating to Senate Republicans, uh,

489
00:29:27,080 --> 00:29:31,440
Speaker 1: leading up to his confirmation here, yeah, he the fucking

490
00:29:31,560 --> 00:29:35,760
Speaker 1: five months before. He's always latent with your ship. Yeah,

491
00:29:35,800 --> 00:29:41,200
Speaker 1: he's always been, you know, a supporter of the Republican Party. Obviously,

492
00:29:41,280 --> 00:29:43,640
Speaker 1: like a lot of these people donate their money to

493
00:29:43,760 --> 00:29:46,120
Speaker 1: the to these different groups like the NRSC, which is

494
00:29:46,160 --> 00:29:49,400
Speaker 1: basically the fundraising arm for the first Senate Republicans. But

495
00:29:49,640 --> 00:29:55,040
Speaker 1: very interesting his his contributions to these groups fucking surged

496
00:29:55,600 --> 00:29:58,480
Speaker 1: around the time, like the from the months leading up

497
00:29:58,560 --> 00:30:02,640
Speaker 1: to sessions resignation and in the five months ahead of

498
00:30:02,720 --> 00:30:06,800
Speaker 1: his confirmation, he gave fifty one thousand dollars to the

499
00:30:06,880 --> 00:30:13,080
Speaker 1: National Republican Senatorial Committee for a Senate confirmation of his nomination,

500
00:30:13,440 --> 00:30:16,720
Speaker 1: which is here's a scary part about that. I hear

501
00:30:16,760 --> 00:30:21,280
Speaker 1: that price, I'm like, damn, that's a lot of money.

502
00:30:21,480 --> 00:30:23,720
Speaker 1: But to these rich as people. Yeah, that's not that's

503
00:30:23,760 --> 00:30:29,200
Speaker 1: not that's like me. That's like me saying, yo, Miles,

504
00:30:30,440 --> 00:30:33,520
Speaker 1: you go two pennies my nigger, all right, put Elizabeth

505
00:30:33,560 --> 00:30:38,640
Speaker 1: more in the office, like like that's nothing, Bro's I

506
00:30:38,640 --> 00:30:40,280
Speaker 1: think because they have to, like you know, I think

507
00:30:40,360 --> 00:30:42,960
Speaker 1: that's his intent, right, showing him like, look, let's do this,

508
00:30:43,000 --> 00:30:44,959
Speaker 1: like I'm gonna give you guys some money. I can

509
00:30:45,240 --> 00:30:47,480
Speaker 1: who knows what other people he said he could get

510
00:30:47,480 --> 00:30:50,239
Speaker 1: to donate as well to do this, because these are

511
00:30:50,240 --> 00:30:55,120
Speaker 1: the senators to who can influence the administration to nominate him. Um,

512
00:30:55,240 --> 00:30:56,840
Speaker 1: and you know a lot of people will be like, well,

513
00:30:56,880 --> 00:30:58,880
Speaker 1: you know, of course you gave him money, Like there's

514
00:30:58,880 --> 00:31:02,040
Speaker 1: nothing suspicious going on. I mean there is, Like when

515
00:31:02,080 --> 00:31:03,960
Speaker 1: you just look at this, right, he was donating on

516
00:31:04,000 --> 00:31:07,600
Speaker 1: a schedule, giving ten k every month on the third

517
00:31:07,640 --> 00:31:11,160
Speaker 1: of every month, and that continued until he was confirmed.

518
00:31:12,600 --> 00:31:15,160
Speaker 1: So that was just eleven days after his last contribution.

519
00:31:15,360 --> 00:31:18,040
Speaker 1: Now they gave back thirty dollars. But I don't that

520
00:31:18,200 --> 00:31:20,080
Speaker 1: makes no difference to me. I think you see what's

521
00:31:20,080 --> 00:31:22,600
Speaker 1: going on, and look, there's no you can't really point

522
00:31:22,600 --> 00:31:25,640
Speaker 1: to any real explicit quid pro quo for this, but

523
00:31:25,720 --> 00:31:28,720
Speaker 1: if you even look at it, like Jeff Sessions, Laretta Lynch,

524
00:31:28,840 --> 00:31:30,840
Speaker 1: Eric Holder, they were never even they weren't even doing

525
00:31:30,880 --> 00:31:33,760
Speaker 1: it like this, Like granted they have given to campaigns,

526
00:31:33,760 --> 00:31:35,880
Speaker 1: but never like anything having to do with the Senate

527
00:31:35,880 --> 00:31:38,120
Speaker 1: before a confirmation hearing or any kind of other hearing

528
00:31:38,400 --> 00:31:41,160
Speaker 1: having to do with their work. And the other shitty

529
00:31:41,200 --> 00:31:43,240
Speaker 1: part about this is what Bill Barr is doing isn't

530
00:31:43,240 --> 00:31:48,200
Speaker 1: technically illegal. It's just fucking suspect. It's like, guess we

531
00:31:48,240 --> 00:31:50,680
Speaker 1: need laws to enforce it like this, we need to

532
00:31:50,880 --> 00:31:52,520
Speaker 1: like actually make this a lot to be like, Hi,

533
00:31:52,680 --> 00:31:54,720
Speaker 1: if you're going to be confirmed for a position to

534
00:31:54,720 --> 00:31:58,600
Speaker 1: be top cop, Uh, don't fucking grease the wheels or

535
00:31:58,640 --> 00:32:02,920
Speaker 1: whatever the funk this is. I mean, you know, in

536
00:32:03,000 --> 00:32:06,560
Speaker 1: fifteen years when all the movies and the documentaries and

537
00:32:06,600 --> 00:32:10,720
Speaker 1: should are made about this administration and we really find

538
00:32:10,760 --> 00:32:15,240
Speaker 1: out how much illegal and underhand it and under the

539
00:32:15,320 --> 00:32:19,360
Speaker 1: table ship that has been going on, Uh it is

540
00:32:20,080 --> 00:32:23,880
Speaker 1: I I can't and this is that this is something

541
00:32:23,920 --> 00:32:26,160
Speaker 1: that isn't new. I'm sure I've probably even said this,

542
00:32:26,840 --> 00:32:31,640
Speaker 1: but the fact that a president like Obama was roam

543
00:32:31,760 --> 00:32:35,000
Speaker 1: from wearing a brown suit and you get ship like

544
00:32:35,080 --> 00:32:38,280
Speaker 1: it's like these people are so corrupt and it's so crazy.

545
00:32:38,440 --> 00:32:41,920
Speaker 1: Or imagine if Obama had a fucking golf part like

546
00:32:41,920 --> 00:32:45,760
Speaker 1: a stripper golf party at his business while in office.

547
00:32:47,800 --> 00:32:50,760
Speaker 1: But again, this just shows you how part isn't like

548
00:32:50,840 --> 00:32:53,200
Speaker 1: some of these people are where there is no objective

549
00:32:53,240 --> 00:32:55,720
Speaker 1: good or bad. It's just like there's our side and

550
00:32:55,720 --> 00:32:57,680
Speaker 1: whatever the funk we do is good. Where y'all do

551
00:32:57,720 --> 00:33:02,920
Speaker 1: is bad. Story and outsider's perspective the like it would

552
00:33:03,000 --> 00:33:07,800
Speaker 1: seem like the mainstream media has an extreme right word

553
00:33:07,800 --> 00:33:11,880
Speaker 1: bias because Republicans get away with this ship and Democrats

554
00:33:11,920 --> 00:33:14,200
Speaker 1: don't get away with anything. There he'll do a much

555
00:33:14,280 --> 00:33:19,120
Speaker 1: higher standard. Um, but you know the inside, the like

556
00:33:19,560 --> 00:33:24,160
Speaker 1: viewing things from inside, people have somehow commenced themselves that

557
00:33:24,880 --> 00:33:28,760
Speaker 1: Fox News is the only place with the right word bias. Yeah.

558
00:33:28,800 --> 00:33:30,600
Speaker 1: I think one other thing to add right is like

559
00:33:30,640 --> 00:33:33,760
Speaker 1: with Bill Barr, you know, the kinds of what the

560
00:33:33,840 --> 00:33:36,280
Speaker 1: d o J has been doing with him, like him

561
00:33:36,320 --> 00:33:39,840
Speaker 1: saying we don't need to prosecute Eric Gardner's murderer, you know,

562
00:33:40,080 --> 00:33:42,240
Speaker 1: like that's that'll be my call. I'll do all these

563
00:33:42,240 --> 00:33:44,440
Speaker 1: other things. I can do the fucking dirty work and

564
00:33:44,480 --> 00:33:47,000
Speaker 1: now when we realize there's a report that came out

565
00:33:47,000 --> 00:33:49,520
Speaker 1: that when Hope Hicks was interviewed by the FBI, because

566
00:33:49,520 --> 00:33:52,120
Speaker 1: they're like, she claims she didn't know anything about Stormy

567
00:33:52,160 --> 00:33:55,480
Speaker 1: Daniel's hush hush money payments at all, and then it

568
00:33:55,520 --> 00:33:57,960
Speaker 1: comes out there like, well, we have like a lot

569
00:33:58,000 --> 00:34:00,720
Speaker 1: of evidence that sort of contradict like what she was

570
00:34:00,760 --> 00:34:04,800
Speaker 1: actually saying. Um, And now it sounds like hop Picks

571
00:34:04,840 --> 00:34:06,880
Speaker 1: will not even be charged for anything in the Southern

572
00:34:06,880 --> 00:34:08,920
Speaker 1: District of New York because you know, Bill bar is

573
00:34:08,920 --> 00:34:11,239
Speaker 1: sort of like, no, let's just let's let's keep that

574
00:34:11,280 --> 00:34:13,920
Speaker 1: out of the out of the slight. Right, He's not

575
00:34:13,920 --> 00:34:16,799
Speaker 1: supposed to be a partisan actor, like that's right, like

576
00:34:16,840 --> 00:34:19,880
Speaker 1: an attorney general is not. He's supposed to be bipartisan. Right,

577
00:34:20,040 --> 00:34:23,879
Speaker 1: You're supposed to not be doing ship just to Yeah,

578
00:34:23,920 --> 00:34:25,360
Speaker 1: I mean, I think the fact that we even have

579
00:34:25,440 --> 00:34:27,560
Speaker 1: to ask that question shows you how far things are.

580
00:34:27,600 --> 00:34:33,879
Speaker 1: Like ship, right, that's just not supposed to. Right, He's here.

581
00:34:33,960 --> 00:34:38,839
Speaker 1: Here's what I truly believe. I think technically, anybody like him,

582
00:34:38,960 --> 00:34:41,759
Speaker 1: or even once you get to the office of the presidency,

583
00:34:41,800 --> 00:34:44,960
Speaker 1: you shouldn't be partisan. I know that's a radical fucking idea.

584
00:34:46,280 --> 00:34:51,400
Speaker 1: But Senate House of Representatives, yeah, sure, Republican Democrats split

585
00:34:51,440 --> 00:34:54,759
Speaker 1: it up. Who cares. I get that check and balances.

586
00:34:54,760 --> 00:34:57,240
Speaker 1: But when you get to that part of the office

587
00:34:57,760 --> 00:34:59,600
Speaker 1: and you get to the party where like you're supposed

588
00:34:59,600 --> 00:35:02,799
Speaker 1: to be over seeing everything. Yeah, and I know that's

589
00:35:02,800 --> 00:35:06,920
Speaker 1: a very unrealistic point to aspire to. I get it.

590
00:35:07,080 --> 00:35:13,239
Speaker 1: Don't come in my menses like I will find you.

591
00:35:13,280 --> 00:35:15,840
Speaker 1: But you just want something like King David or King Solomon.

592
00:35:16,400 --> 00:35:18,120
Speaker 1: I don't know who those people are, but you said

593
00:35:18,160 --> 00:35:19,920
Speaker 1: dude in the Bible who was like, we'll cut the

594
00:35:19,920 --> 00:35:24,759
Speaker 1: baby in half. Remember that that was Solomon. Yeah, that's

595
00:35:24,800 --> 00:35:28,320
Speaker 1: what we're talking about. Threatened to kill all the babies

596
00:35:28,360 --> 00:35:34,080
Speaker 1: in a manner. Listen, listen, do we really need babies?

597
00:35:35,000 --> 00:35:37,280
Speaker 1: Really any babies? How long would it take for Earth

598
00:35:37,320 --> 00:35:40,840
Speaker 1: to to cease existing and baby stopped living, baby stop

599
00:35:40,880 --> 00:35:43,719
Speaker 1: being born? Watch Children? And man, is that what that

600
00:35:43,760 --> 00:35:47,520
Speaker 1: movie is about? Great opening? Yeah, But I mean we

601
00:35:47,520 --> 00:35:49,880
Speaker 1: were just talking about the fact that it does seem

602
00:35:49,920 --> 00:35:52,080
Speaker 1: like and I think in the past, and again this

603
00:35:52,160 --> 00:35:55,880
Speaker 1: is just like baseline setting, like stuff that used to

604
00:35:55,880 --> 00:35:58,920
Speaker 1: be obvious to us. But presidents used to be like

605
00:35:58,960 --> 00:36:01,080
Speaker 1: supposed to be a of the fray a little bit

606
00:36:01,160 --> 00:36:03,880
Speaker 1: and not like get into these like slap fights and

607
00:36:03,960 --> 00:36:07,680
Speaker 1: partisan bickering and ship and yeah, we were just talking

608
00:36:07,719 --> 00:36:11,279
Speaker 1: actually before we recorded, like Trump had some you know,

609
00:36:11,360 --> 00:36:15,200
Speaker 1: first he did the claiming that he wasn't fond of

610
00:36:15,280 --> 00:36:18,239
Speaker 1: the racist chance at his rally and we're like, wait,

611
00:36:18,239 --> 00:36:20,239
Speaker 1: why is he doing that? And somebody else pointed out

612
00:36:20,239 --> 00:36:23,759
Speaker 1: that he had like victims of religious persecution in the

613
00:36:23,760 --> 00:36:26,719
Speaker 1: White House, and you know, they were like, isn't that

614
00:36:26,800 --> 00:36:29,279
Speaker 1: weird that he had that? And it's like, well, but

615
00:36:29,440 --> 00:36:33,319
Speaker 1: that's what you're supposed to do as president, Like that's

616
00:36:33,400 --> 00:36:37,040
Speaker 1: the very basic like you're supposed to just be a

617
00:36:37,400 --> 00:36:41,640
Speaker 1: symbol of America and not just like a partisan Like yeah,

618
00:36:41,800 --> 00:36:44,480
Speaker 1: I mean, granted was the emptiest of gestures I have those.

619
00:36:44,640 --> 00:36:46,920
Speaker 1: There was a rohinga person who was asking him. He's like,

620
00:36:46,960 --> 00:36:48,279
Speaker 1: do you have a plan to help my people? He's like,

621
00:36:48,320 --> 00:36:56,000
Speaker 1: where's that at? Right? So take it easy, bro, it's

622
00:36:56,040 --> 00:37:00,839
Speaker 1: wild man. I And and to the I was thinking

623
00:37:00,880 --> 00:37:04,359
Speaker 1: about this just now, how even though like we've been

624
00:37:04,440 --> 00:37:07,319
Speaker 1: partisan with presidents Obama, the Bush is a quintess and

625
00:37:07,320 --> 00:37:13,200
Speaker 1: stuff like that. I can't like even Bush wouldn't get

626
00:37:13,200 --> 00:37:16,680
Speaker 1: in like these little squabbles and ship that Trump is.

627
00:37:16,719 --> 00:37:18,080
Speaker 1: And I don't know if it's just like because of

628
00:37:18,120 --> 00:37:21,719
Speaker 1: the social media era we live in, so it's a

629
00:37:21,760 --> 00:37:24,400
Speaker 1: lot easier for somebody to just right there goddamn thoughts now,

630
00:37:25,320 --> 00:37:29,160
Speaker 1: But I mean, he at least there's a there's a

631
00:37:29,200 --> 00:37:32,880
Speaker 1: sense of decorum that even the worst of presidents have

632
00:37:33,000 --> 00:37:35,960
Speaker 1: had in the past, like few years. But Bush was

633
00:37:36,000 --> 00:37:38,920
Speaker 1: just sort of secretly taking away our freedoms. He was

634
00:37:38,960 --> 00:37:40,279
Speaker 1: on the surface, but like I would act like a

635
00:37:40,280 --> 00:37:44,000
Speaker 1: president and then I'll let these goons do the Yeah. Yeah, absolutely,

636
00:37:44,080 --> 00:37:46,719
Speaker 1: but listen, we know everything is better in the shadows.

637
00:37:46,760 --> 00:37:51,240
Speaker 1: Jo um Well, speaking of things that happened in the shadows,

638
00:37:51,320 --> 00:37:54,440
Speaker 1: let's talk about the fiftieth anniversary of the moon landing.

639
00:37:55,120 --> 00:37:59,239
Speaker 1: It's tomorrow. It is, you know, one of the greatest

640
00:37:59,440 --> 00:38:05,239
Speaker 1: things ever accomplished, or so they told you. Uh so,

641
00:38:05,960 --> 00:38:09,040
Speaker 1: our writer j McNabb did a little bit of a

642
00:38:09,080 --> 00:38:12,800
Speaker 1: deep dive gave us a history on the moon landing

643
00:38:12,880 --> 00:38:16,879
Speaker 1: hoax because you know, the idea that it's a hoax

644
00:38:16,920 --> 00:38:20,120
Speaker 1: or acknowledging that this is a hoax. Uh. I guess

645
00:38:20,120 --> 00:38:24,719
Speaker 1: we probably shouldn't tell people just yet. No, No, I'm

646
00:38:24,760 --> 00:38:27,520
Speaker 1: just saying we shouldn't reveal just yet the truth that

647
00:38:28,680 --> 00:38:33,239
Speaker 1: as Hollywood insiders. But uh yeah, So he wanted to

648
00:38:33,280 --> 00:38:36,040
Speaker 1: like kind of look into you know, how how this

649
00:38:36,120 --> 00:38:40,279
Speaker 1: idea got started. One really wild thing is that. So

650
00:38:41,000 --> 00:38:43,480
Speaker 1: they were talking about how the first book that came

651
00:38:43,520 --> 00:38:46,480
Speaker 1: out came out in four was a self published book

652
00:38:47,000 --> 00:38:50,720
Speaker 1: called We Never Went to the Moon America's thirty billion

653
00:38:50,760 --> 00:38:58,520
Speaker 1: dollars Swindle exclamation point, Yeah in those in those dollars. Yeah,

654
00:38:58,719 --> 00:39:01,680
Speaker 1: you know a lot of people got rich off that thing, man,

655
00:39:01,920 --> 00:39:05,640
Speaker 1: you know, yeah, and that money go follow the money. Uh.

656
00:39:05,680 --> 00:39:09,120
Speaker 1: But they pointed out that in July nineteen seventies, so

657
00:39:09,239 --> 00:39:12,719
Speaker 1: just a year after the moon landing, thirty percent of

658
00:39:12,760 --> 00:39:15,920
Speaker 1: Americans already believe the moon landing had been faked. Without

659
00:39:16,600 --> 00:39:19,920
Speaker 1: ship being out there like published. People were like, man,

660
00:39:19,960 --> 00:39:22,560
Speaker 1: that looks fake because I don't know, I don't know,

661
00:39:23,360 --> 00:39:26,279
Speaker 1: that seems far away. A lot of religious people were

662
00:39:26,320 --> 00:39:29,040
Speaker 1: like that too. My grandmother will believe in the moonland

663
00:39:29,040 --> 00:39:31,840
Speaker 1: and she said it was she said it was something

664
00:39:31,920 --> 00:39:35,560
Speaker 1: done to make people not believe in God. It's wild, oh,

665
00:39:35,719 --> 00:39:39,120
Speaker 1: like to acknowledge to space and like the expanse of

666
00:39:39,160 --> 00:39:43,080
Speaker 1: it all. Yeah, Okay, I like that. Yeah. Um. His evidence,

667
00:39:43,160 --> 00:39:47,680
Speaker 1: the author of this book, Bill Casing's evidence is that

668
00:39:48,480 --> 00:39:54,240
Speaker 1: you can't see stars in the photos. Um, and that's it. Yeah,

669
00:39:54,320 --> 00:39:56,279
Speaker 1: that's one of his big piece of evidence. And the

670
00:39:56,320 --> 00:39:58,800
Speaker 1: reason for that is there's more direct sunlight and space,

671
00:39:58,880 --> 00:40:02,319
Speaker 1: so you can't They couldn't get the proper exposure to

672
00:40:02,400 --> 00:40:06,279
Speaker 1: show it. But that's you know, Gish gallup, Mr Photography. Yeah,

673
00:40:06,320 --> 00:40:08,799
Speaker 1: that makes me sound like I'm a real nerd. And

674
00:40:08,800 --> 00:40:10,680
Speaker 1: he's like, yeah, blah blah, Well, what do you want

675
00:40:10,680 --> 00:40:12,359
Speaker 1: me to expose to this background? Or do you want

676
00:40:12,360 --> 00:40:15,040
Speaker 1: me to exposed to the foreground subjects in the photo? Okay,

677
00:40:15,040 --> 00:40:16,799
Speaker 1: I can't bounce the I s o shutter speed and

678
00:40:16,840 --> 00:40:19,759
Speaker 1: aperture to get this right. Cason's book was actually the

679
00:40:19,760 --> 00:40:22,520
Speaker 1: one that suggested that it was secretly Stanley Kubrick that

680
00:40:22,600 --> 00:40:25,600
Speaker 1: shot the Oh he was the Yeah she came up with.

681
00:40:26,400 --> 00:40:30,840
Speaker 1: Uh and uh. The other way that this got started

682
00:40:31,280 --> 00:40:38,359
Speaker 1: was this we all know Russian propaganda. The haters Russia propaganda. Yeah,

683
00:40:38,400 --> 00:40:41,480
Speaker 1: because they didn't want their people to think that they

684
00:40:41,480 --> 00:40:44,400
Speaker 1: were getting their ass beat to the moon. Uh, So

685
00:40:44,600 --> 00:40:48,120
Speaker 1: they especially creading that in Russia and Also it made

686
00:40:48,120 --> 00:40:50,440
Speaker 1: its way to America, and a bunch of Americans were like,

687
00:40:51,160 --> 00:40:53,799
Speaker 1: because they were winning space wars up in to that point, right,

688
00:40:53,880 --> 00:40:57,400
Speaker 1: Russia was in the US passed them during that time.

689
00:40:57,560 --> 00:41:00,080
Speaker 1: During that time. Yeah, although I mean it's where of

690
00:41:00,200 --> 00:41:03,280
Speaker 1: noting that a lot of Russian the Russian space program

691
00:41:03,360 --> 00:41:07,479
Speaker 1: was just like it was helped by their complete lack

692
00:41:07,520 --> 00:41:10,280
Speaker 1: of concern for human life. They were just like fired

693
00:41:10,400 --> 00:41:14,120
Speaker 1: dudes into the sky and just like you'd hear them

694
00:41:14,320 --> 00:41:17,920
Speaker 1: on the radio, just be like, oh God, burning up

695
00:41:18,400 --> 00:41:21,480
Speaker 1: a dog. Yeah I thought it was a monkey. I

696
00:41:21,480 --> 00:41:25,120
Speaker 1: think Americans sent up a monkey and they sent up

697
00:41:25,120 --> 00:41:29,000
Speaker 1: a dog. Okay, Yeah, it's just wild like bringing it

698
00:41:29,040 --> 00:41:32,200
Speaker 1: into the modern day. Trump, Uh, you know, has been

699
00:41:32,239 --> 00:41:36,160
Speaker 1: talking about a lot of space missions, space force, but

700
00:41:36,400 --> 00:41:39,880
Speaker 1: he also, like a lot of his homies, think that

701
00:41:39,960 --> 00:41:42,759
Speaker 1: the moon like Roger Stone said the moon landing was

702
00:41:42,800 --> 00:41:46,080
Speaker 1: a hoax shot in a warehouse in New Jersey. Alex

703
00:41:46,200 --> 00:41:50,560
Speaker 1: Jones claimed the footage was tinker toy stuff. Uh. And

704
00:41:50,640 --> 00:41:56,080
Speaker 1: even before he took office, Trump seemed like bizarrely focused

705
00:41:56,120 --> 00:42:01,320
Speaker 1: on sending astronauts to the moon. Uh. People, we're like, wait,

706
00:42:01,400 --> 00:42:03,719
Speaker 1: do you think we've already done that? Do you know

707
00:42:03,800 --> 00:42:09,759
Speaker 1: we've already done that? Uh and he uh they we

708
00:42:09,880 --> 00:42:12,080
Speaker 1: never really got a clear answer on that, but he

709
00:42:12,480 --> 00:42:17,600
Speaker 1: switched to Marrows after Neil Cabuta piece was like, we

710
00:42:17,640 --> 00:42:20,839
Speaker 1: could do bigger things and go to go somewhere we've

711
00:42:20,880 --> 00:42:25,200
Speaker 1: already been a dozen times. Do people do people who

712
00:42:25,280 --> 00:42:26,799
Speaker 1: and I'll let you know where I'm at on this,

713
00:42:27,120 --> 00:42:32,680
Speaker 1: do people uh think that just the nineteen sixty nine

714
00:42:32,719 --> 00:42:36,360
Speaker 1: moon landing was a hoax? Or they think all of

715
00:42:36,440 --> 00:42:38,160
Speaker 1: the times we went to the moon because it must

716
00:42:38,160 --> 00:42:41,040
Speaker 1: be right, because like fine, if you think the first

717
00:42:41,040 --> 00:42:45,120
Speaker 1: one is a hoax, that's cool, but acknowledge that we've

718
00:42:45,160 --> 00:42:47,440
Speaker 1: been to the moon, because they went like a few

719
00:42:47,480 --> 00:42:51,440
Speaker 1: times after we fired a laser at the moon and

720
00:42:51,480 --> 00:42:53,919
Speaker 1: had it bounced back from something they left up there

721
00:42:54,440 --> 00:42:57,239
Speaker 1: to like prove it. They were just like, fine, asholes here,

722
00:42:57,280 --> 00:43:00,680
Speaker 1: we flew up there, We left the fucking mirror there. Boom, Yeah,

723
00:43:00,840 --> 00:43:04,600
Speaker 1: like yeah, okay, whatever, I guess. Yeah, I mean I

724
00:43:04,600 --> 00:43:07,200
Speaker 1: wonder I understand like the religious argument of how you

725
00:43:07,200 --> 00:43:10,120
Speaker 1: would rationalize it, because that might completely funk up your

726
00:43:10,200 --> 00:43:13,520
Speaker 1: whole worldview, like to be like wait a second, like

727
00:43:13,640 --> 00:43:17,320
Speaker 1: now I'm questioning my place in this heaven, the universe

728
00:43:17,760 --> 00:43:20,000
Speaker 1: or whatever, but like what and the Russians are just

729
00:43:20,040 --> 00:43:22,719
Speaker 1: haters right now? No, y'all didn't go up there or

730
00:43:22,760 --> 00:43:25,080
Speaker 1: with this will tell people because our brand is really

731
00:43:25,120 --> 00:43:27,600
Speaker 1: fucked up right now. But I don't know, like, are

732
00:43:27,640 --> 00:43:30,759
Speaker 1: the other people just on I guess maybe flat earthers

733
00:43:31,480 --> 00:43:34,160
Speaker 1: who are trying I'm curious what the that ven diagram

734
00:43:34,200 --> 00:43:36,600
Speaker 1: is of ideologies? I mean overlaps and now the moon

735
00:43:36,640 --> 00:43:39,600
Speaker 1: landing wasn't really for the three episodes I listened to

736
00:43:39,640 --> 00:43:42,000
Speaker 1: the Joe Rogan podcast, I heard him be like, I

737
00:43:42,040 --> 00:43:43,840
Speaker 1: don't know, man, you look at a lot of that footage.

738
00:43:43,840 --> 00:43:46,640
Speaker 1: There's some things that don't make sense, and like those

739
00:43:46,640 --> 00:43:50,759
Speaker 1: are just like pseudo intellectual pudo intellectual bros. Yeah, but

740
00:43:50,840 --> 00:43:53,800
Speaker 1: also yeah, there's a lot of ship that don't make sense.

741
00:43:54,200 --> 00:43:56,520
Speaker 1: First of all, it was shot in nineteen sixty nine,

742
00:43:57,400 --> 00:44:00,319
Speaker 1: Like a lot of TV that we watch now from

743
00:44:00,320 --> 00:44:03,080
Speaker 1: that time don't make sense that it was terrible, Uh,

744
00:44:03,480 --> 00:44:05,920
Speaker 1: like TV was just bad, man. And then also they

745
00:44:05,920 --> 00:44:11,000
Speaker 1: were shooting ship in space. I'm sure that whatever laws

746
00:44:11,120 --> 00:44:16,440
Speaker 1: of physics applied to filmmaking on Earth might change in space.

747
00:44:16,600 --> 00:44:20,960
Speaker 1: There's also like a three second shot that everybody associates

748
00:44:21,000 --> 00:44:24,799
Speaker 1: with the moon landing, and there's like, there's all these

749
00:44:24,840 --> 00:44:29,080
Speaker 1: other pictures that nobody really has seen that have come

750
00:44:29,080 --> 00:44:32,160
Speaker 1: out that make it clear they're on the moon, like

751
00:44:32,280 --> 00:44:34,359
Speaker 1: and you can see it from different angles, and it's

752
00:44:34,360 --> 00:44:37,239
Speaker 1: not just that one picture, but that's just the iconic one.

753
00:44:37,239 --> 00:44:39,520
Speaker 1: And people are like, well, look at the flag. It's

754
00:44:39,520 --> 00:44:43,960
Speaker 1: not waving. Uh, something we noticed walking to lunch yesterday. Uh.

755
00:44:44,040 --> 00:44:47,239
Speaker 1: That it is just a good example of how up

756
00:44:47,239 --> 00:44:51,279
Speaker 1: its own asked Hollywood is is. Uh. Neil Armstrong and

757
00:44:51,680 --> 00:44:57,200
Speaker 1: Buzz Aldrin got their own Hollywood stars. Uh. And it's

758
00:44:57,200 --> 00:45:01,600
Speaker 1: in the category of TV. They're real TV starts and

759
00:45:02,080 --> 00:45:03,920
Speaker 1: all four of them, Yeah, let me put my l

760
00:45:03,960 --> 00:45:06,239
Speaker 1: a tour guy had on. All four of them have it,

761
00:45:06,360 --> 00:45:10,120
Speaker 1: and they put it in the TV category because I

762
00:45:10,280 --> 00:45:14,080
Speaker 1: was up until well that's why. But up until I

763
00:45:14,120 --> 00:45:15,960
Speaker 1: think still to this day, it was the it's the

764
00:45:15,960 --> 00:45:20,279
Speaker 1: most watched television program of all time. So that that

765
00:45:20,320 --> 00:45:23,560
Speaker 1: allowed the loophole for them. I mean, that's great programming,

766
00:45:23,600 --> 00:45:27,640
Speaker 1: that's great content. And shoot them putting a flag up there,

767
00:45:27,719 --> 00:45:30,600
Speaker 1: I know, but when people don't, Damn, Netflix is thinking

768
00:45:30,600 --> 00:45:31,920
Speaker 1: about that right now. It's like, Okay, man, can we

769
00:45:31,920 --> 00:45:33,400
Speaker 1: get somebody in the meet again? You guse my all.

770
00:45:33,680 --> 00:45:36,200
Speaker 1: What they don't know is Neil Armstrong was the act,

771
00:45:36,360 --> 00:45:40,160
Speaker 1: was the person on earth, but up there it's really

772
00:45:40,200 --> 00:45:43,759
Speaker 1: a young Morgan Freeman. And that aston not suit. That's

773
00:45:43,760 --> 00:45:46,920
Speaker 1: a Hollywood inside. It's a young it's his first movie.

774
00:45:46,960 --> 00:45:54,600
Speaker 1: Well he was about he was about sixty nine. Kind

775
00:46:01,680 --> 00:46:03,400
Speaker 1: all right, we're gonna take a quick break. We'll be

776
00:46:03,480 --> 00:46:16,680
Speaker 1: right back and we're back. A couple of quick things

777
00:46:16,800 --> 00:46:20,279
Speaker 1: off the top, very important. It's gonna be hot as

778
00:46:20,360 --> 00:46:23,319
Speaker 1: fuck this weekend, so stay cool. When they say two

779
00:46:23,400 --> 00:46:26,080
Speaker 1: thirds of the country is basically yeah, it's roasted, blanketed

780
00:46:26,120 --> 00:46:30,040
Speaker 1: and like all time highs, and the lows are like

781
00:46:30,120 --> 00:46:34,719
Speaker 1: all time high lows. The Drudge headline for this is

782
00:46:34,840 --> 00:46:38,920
Speaker 1: the heat goes on June toastyest on record July May

783
00:46:38,960 --> 00:46:42,600
Speaker 1: follow toasty is a nice way to describe the the

784
00:46:42,719 --> 00:46:46,479
Speaker 1: end of the world. Um. And also, we just wanted

785
00:46:46,520 --> 00:46:48,960
Speaker 1: to mention that McDonald's needs to get its shipped together

786
00:46:49,160 --> 00:46:52,239
Speaker 1: and uh invent a chicken sandwich that's on par with

787
00:46:52,600 --> 00:46:58,960
Speaker 1: chick fil a franchise. E'se are pisted killed like we

788
00:46:59,000 --> 00:47:02,080
Speaker 1: need a premiut chickens right, you ain't getting killed. Man,

789
00:47:02,160 --> 00:47:06,239
Speaker 1: I've got five million McDonald's around the world. Is on.

790
00:47:06,440 --> 00:47:09,600
Speaker 1: It's on the come up, comes up like fast food franchises.

791
00:47:09,640 --> 00:47:13,920
Speaker 1: You know, it's crazy to uh is that that can?

792
00:47:14,000 --> 00:47:15,840
Speaker 1: I can imagine how that makes you feel shitty? Like

793
00:47:16,480 --> 00:47:19,920
Speaker 1: even if McDonald's is number one and Chick fil a

794
00:47:20,160 --> 00:47:23,000
Speaker 1: is like number eight or nine. The fact that a

795
00:47:23,080 --> 00:47:27,359
Speaker 1: restaurant that has less stores and you and closes for

796
00:47:27,400 --> 00:47:30,440
Speaker 1: an entire day of the week and still is like

797
00:47:30,560 --> 00:47:33,720
Speaker 1: on yours and they're still gaining and they're still gaining

798
00:47:33,800 --> 00:47:36,000
Speaker 1: on you. I can imagine that makes you feel some

799
00:47:36,040 --> 00:47:39,160
Speaker 1: type of way took me finding bagel boss guy with

800
00:47:39,200 --> 00:47:43,400
Speaker 1: my arms behind my back. All right, I want to

801
00:47:43,400 --> 00:47:46,560
Speaker 1: talk about something called the alpha zero paradox. There's an

802
00:47:46,640 --> 00:47:51,040
Speaker 1: article in The Atlantic that is Henry Kissinger and a

803
00:47:51,080 --> 00:47:55,400
Speaker 1: couple of other like luminaries talking about how the world

804
00:47:55,480 --> 00:48:00,440
Speaker 1: needs to start getting ready for basically the singularity. Eric's

805
00:48:00,120 --> 00:48:03,400
Speaker 1: met one of the founders of Google and somebody named

806
00:48:03,560 --> 00:48:08,160
Speaker 1: Daniel Hutton Locker uh and in this piece. So they're

807
00:48:08,160 --> 00:48:11,719
Speaker 1: basically talking about the singularity, like where computers get so

808
00:48:11,760 --> 00:48:15,440
Speaker 1: smart that they're like making moves beyond what we can

809
00:48:15,480 --> 00:48:20,959
Speaker 1: even conceive of. And in this article they talked about

810
00:48:20,960 --> 00:48:24,080
Speaker 1: this thing called the alpha zero paradox that is one

811
00:48:24,120 --> 00:48:28,360
Speaker 1: of like one of the most terrifying but like interesting

812
00:48:28,440 --> 00:48:32,040
Speaker 1: examples of this that I've heard. So, uh, you know,

813
00:48:32,320 --> 00:48:36,560
Speaker 1: you know how that like artificial intelligence learning how to

814
00:48:36,600 --> 00:48:39,840
Speaker 1: play chess as always a like thing, and that a

815
00:48:39,920 --> 00:48:43,680
Speaker 1: computer could be one of the grand masters of of

816
00:48:43,719 --> 00:48:48,160
Speaker 1: the clue klux klant No, of chess at chess is

817
00:48:48,680 --> 00:48:52,760
Speaker 1: be David Duke. Yeah, I mean the man himself. Uh

818
00:48:53,320 --> 00:48:59,759
Speaker 1: are they called grand masters? Yeah, but chess people are

819
00:48:59,800 --> 00:49:03,239
Speaker 1: called grandmasters anyways. Uh, that that was always like a

820
00:49:03,320 --> 00:49:07,560
Speaker 1: big deal. So they taught this computer like the rules

821
00:49:07,560 --> 00:49:10,239
Speaker 1: of chess and then just had it play itself for

822
00:49:10,400 --> 00:49:13,920
Speaker 1: twenty four hours, and it became in twenty four hours,

823
00:49:13,960 --> 00:49:16,719
Speaker 1: became the best chess player in the world. Uh, it's

824
00:49:16,760 --> 00:49:19,600
Speaker 1: better than any grand masters, better than any of the

825
00:49:20,040 --> 00:49:23,759
Speaker 1: those like highly publicized chess playing computer programs in the

826
00:49:23,880 --> 00:49:26,200
Speaker 1: in the past. And the difference about what they did

827
00:49:26,400 --> 00:49:30,680
Speaker 1: is they didn't give it any any of the data

828
00:49:30,840 --> 00:49:34,560
Speaker 1: of like how humans have played chess up to that point. Uh,

829
00:49:34,680 --> 00:49:38,719
Speaker 1: they didn't like teach it any like chess strategy or

830
00:49:38,760 --> 00:49:40,880
Speaker 1: anything they just taught it the rules and then just

831
00:49:40,960 --> 00:49:43,440
Speaker 1: like let it go to like figure out how to

832
00:49:43,520 --> 00:49:48,880
Speaker 1: play it. And it's the way it plays chess is

833
00:49:48,920 --> 00:49:53,360
Speaker 1: like how like people would consider it wrong. It's they're like, no,

834
00:49:53,520 --> 00:49:56,440
Speaker 1: that's not how you play it. But it's better than everybody.

835
00:49:56,800 --> 00:50:00,680
Speaker 1: They it's like making moves that to a has champion

836
00:50:00,680 --> 00:50:05,839
Speaker 1: will be like okay, and then yea to checkmate. They say,

837
00:50:05,840 --> 00:50:10,440
Speaker 1: it's like chess from another dimension. That's what that's what

838
00:50:11,120 --> 00:50:13,239
Speaker 1: the expert says. I want to I want to play

839
00:50:13,239 --> 00:50:16,640
Speaker 1: it to see how quick how long I can last.

840
00:50:17,160 --> 00:50:19,200
Speaker 1: I'm terrible at chess. I'm sure if I got high,

841
00:50:19,200 --> 00:50:22,439
Speaker 1: I could maybe battle it too. I'm thinking outside the box,

842
00:50:22,600 --> 00:50:25,960
Speaker 1: taking outside. I've been playing chess every night for the

843
00:50:26,000 --> 00:50:28,440
Speaker 1: past month and a half to two months, just to

844
00:50:28,520 --> 00:50:31,040
Speaker 1: kind of like make my brain sharper. Like I'll play

845
00:50:31,120 --> 00:50:33,640
Speaker 1: before I go to bed, like on my phone, and

846
00:50:33,800 --> 00:50:36,360
Speaker 1: the computer annoys the ship out of me because like

847
00:50:36,400 --> 00:50:39,880
Speaker 1: I'm up here taking like sixty seconds ninety seconds in

848
00:50:39,920 --> 00:50:42,520
Speaker 1: between moves, and I make my move in the computer

849
00:50:42,680 --> 00:50:45,880
Speaker 1: one second because no matter where I go, it just

850
00:50:46,200 --> 00:50:50,040
Speaker 1: it puts it into the coulations and it calculates like

851
00:50:50,200 --> 00:50:52,399
Speaker 1: this is the best move at one second East time

852
00:50:52,440 --> 00:50:55,239
Speaker 1: East time. I don't know. I found this interesting for

853
00:50:55,280 --> 00:50:57,880
Speaker 1: a couple of reasons. They like because you know, we

854
00:50:57,920 --> 00:51:02,399
Speaker 1: talked about the zeitgeist here and and and something as

855
00:51:02,440 --> 00:51:07,600
Speaker 1: conceptually concrete as chest like all human learnings and assumptions

856
00:51:07,600 --> 00:51:12,839
Speaker 1: were getting in the way of the truth. Uh. And like,

857
00:51:12,920 --> 00:51:15,040
Speaker 1: I think that's a good metaphor, like a good way

858
00:51:15,040 --> 00:51:17,319
Speaker 1: to kind of a good thing to keep in mind

859
00:51:17,400 --> 00:51:20,680
Speaker 1: when you're thinking about like how the world sees things,

860
00:51:20,719 --> 00:51:24,680
Speaker 1: how people are talking about things. Uh, it's that is

861
00:51:24,719 --> 00:51:28,319
Speaker 1: a lens that is refracting like everything you see. So

862
00:51:28,360 --> 00:51:31,040
Speaker 1: it's not it's not the truth in a lot of ways.

863
00:51:31,040 --> 00:51:34,160
Speaker 1: It's causing us to miss a huge part of the truth. Um.

864
00:51:34,719 --> 00:51:37,960
Speaker 1: And you know, we obviously have a dramatic example of

865
00:51:37,960 --> 00:51:40,839
Speaker 1: that with the two thousand and sixteen election. Um. And

866
00:51:40,920 --> 00:51:44,719
Speaker 1: we've spent the last three years trying to explain how

867
00:51:45,680 --> 00:51:48,600
Speaker 1: all of human wisdom and all the press and all

868
00:51:48,640 --> 00:51:50,560
Speaker 1: that ship got it wrong and only like a few

869
00:51:50,560 --> 00:51:58,239
Speaker 1: people actually, and not all, how all the mainstream media

870
00:51:58,320 --> 00:52:01,839
Speaker 1: get it wrong. I I'm waiting for sex to go

871
00:52:01,880 --> 00:52:05,360
Speaker 1: ahead and tell us a shoot about sex, Like yeah,

872
00:52:05,520 --> 00:52:12,320
Speaker 1: like wrong, it'll take it'll take five minutes, yeah, seconds,

873
00:52:12,320 --> 00:52:17,440
Speaker 1: and both people can go teach us, teach us what

874
00:52:17,560 --> 00:52:20,839
Speaker 1: we don't know. But they the the other thing, I mean,

875
00:52:20,880 --> 00:52:22,839
Speaker 1: that's kind of what they were talking about, is this

876
00:52:22,880 --> 00:52:26,440
Speaker 1: is just one example. Like people always used to talk

877
00:52:26,440 --> 00:52:29,200
Speaker 1: about the singularity, Like this point at which robots and

878
00:52:29,280 --> 00:52:32,640
Speaker 1: like artificial intelligence goes beyond human understanding is like this

879
00:52:32,760 --> 00:52:36,360
Speaker 1: one event that would happen all at once, but it

880
00:52:36,360 --> 00:52:39,319
Speaker 1: seems like it's happening kind of piecemeal. And this is

881
00:52:39,640 --> 00:52:43,040
Speaker 1: an example of the singularity happening in chess, like where

882
00:52:43,080 --> 00:52:47,080
Speaker 1: it's just making moves beyond human comprehension. Uh, And that

883
00:52:47,239 --> 00:52:49,920
Speaker 1: seems like a thing that shouldn't even necessarily be possible.

884
00:52:49,960 --> 00:52:52,000
Speaker 1: You should always be able to like understand the logic

885
00:52:52,080 --> 00:52:54,520
Speaker 1: of why someone is making chess moves because it's a

886
00:52:54,600 --> 00:52:58,120
Speaker 1: finite game. Um, it was again created by us too,

887
00:52:58,760 --> 00:53:01,680
Speaker 1: Like it's not it's not science. It's a game that

888
00:53:02,200 --> 00:53:06,920
Speaker 1: some body hundreds of years ago decided, you know what,

889
00:53:08,360 --> 00:53:11,520
Speaker 1: I think the pawn should only move one or two spots.

890
00:53:12,080 --> 00:53:14,880
Speaker 1: I think this horse should go and like that's just

891
00:53:14,960 --> 00:53:17,399
Speaker 1: somebody who decided. But I think that's like a good

892
00:53:17,440 --> 00:53:21,359
Speaker 1: example of it because it's finite and concrete, like we're

893
00:53:21,360 --> 00:53:24,920
Speaker 1: seeing what's going to happen with everything else in AI

894
00:53:25,200 --> 00:53:28,640
Speaker 1: just there first, because it's kind of a fixed field.

895
00:53:28,760 --> 00:53:32,280
Speaker 1: But uh, the article says, like, we can expect comparable

896
00:53:32,280 --> 00:53:36,920
Speaker 1: discoveries by AI another fields. Some will upend conventional wisdom

897
00:53:36,960 --> 00:53:41,319
Speaker 1: and standard practices, others will merely tweak them. Um, and

898
00:53:41,360 --> 00:53:44,520
Speaker 1: then I'll leave us struggling to understand. Consider the conduct

899
00:53:44,520 --> 00:53:47,640
Speaker 1: of driverless cars stopped at a traffic light. When cars

900
00:53:47,760 --> 00:53:50,800
Speaker 1: driven by people inch forward to try to beat the traffic,

901
00:53:51,280 --> 00:53:54,640
Speaker 1: some driverless cars will join them, though nothing in the

902
00:53:54,719 --> 00:53:57,719
Speaker 1: rules of driving given to them suggests they should do so.

903
00:53:58,200 --> 00:54:00,759
Speaker 1: If this inching forward has been learned, and how and

904
00:54:00,840 --> 00:54:03,720
Speaker 1: for what purpose? How is it different from what people

905
00:54:03,719 --> 00:54:06,200
Speaker 1: are taught and learn about waiting for a traffic light?

906
00:54:06,360 --> 00:54:08,279
Speaker 1: What else might a I learned that it is not

907
00:54:08,440 --> 00:54:11,480
Speaker 1: quote telling us? And they make the point because a

908
00:54:11,719 --> 00:54:15,880
Speaker 1: I like can't explain back to us what it's right.

909
00:54:16,120 --> 00:54:18,640
Speaker 1: And so I feel like there's gonna be a lot

910
00:54:18,680 --> 00:54:22,239
Speaker 1: of examples like that where all of a sudden, you know,

911
00:54:22,800 --> 00:54:27,640
Speaker 1: AI is spitting out decisions that we that seem crazy

912
00:54:27,680 --> 00:54:29,440
Speaker 1: to us, and then we have to like figure out

913
00:54:29,520 --> 00:54:31,640
Speaker 1: we have to decide whether to trust it or not

914
00:54:31,719 --> 00:54:33,680
Speaker 1: because the AI is not going to be able to

915
00:54:33,719 --> 00:54:36,880
Speaker 1: tell us why. I assume people will be bowing at

916
00:54:36,880 --> 00:54:40,799
Speaker 1: the altar of some fucking computer, right tell us? I

917
00:54:40,800 --> 00:54:44,279
Speaker 1: mean the scary thing like Kissinger, you know, who had

918
00:54:44,320 --> 00:54:47,480
Speaker 1: to deal with Richard Nixon, who thought it was a

919
00:54:47,480 --> 00:54:52,520
Speaker 1: good idea to you know, nuke Vietnam. Uh. Kissinger talks

920
00:54:52,520 --> 00:54:55,440
Speaker 1: about how you know what what happens when we start

921
00:54:56,239 --> 00:55:01,839
Speaker 1: running uh international relations decisions through AI or checking it

922
00:55:01,920 --> 00:55:06,840
Speaker 1: with a I like will well, you know, mutually assured

923
00:55:06,880 --> 00:55:10,000
Speaker 1: destruction has been a great deterrent up to this point

924
00:55:10,000 --> 00:55:12,960
Speaker 1: when it when it comes to using nuclear weapons or

925
00:55:13,000 --> 00:55:16,040
Speaker 1: not using them. But like what if AI is like, Nah,

926
00:55:16,600 --> 00:55:23,319
Speaker 1: don't worry, they're pussy. I mean I just I just

927
00:55:23,400 --> 00:55:27,120
Speaker 1: rewatched I Robot like a week ago, and that movie.

928
00:55:27,440 --> 00:55:30,040
Speaker 1: That movie is good. That movie is good because it

929
00:55:29,760 --> 00:55:34,200
Speaker 1: it talks about that. Yeah, it talks about that in

930
00:55:34,360 --> 00:55:37,400
Speaker 1: the very basic term, but very basic way. Basically but

931
00:55:37,760 --> 00:55:42,640
Speaker 1: like the three laws where robot can never harmy human,

932
00:55:42,719 --> 00:55:46,040
Speaker 1: must always listen to a human, and must almost and

933
00:55:46,160 --> 00:55:50,799
Speaker 1: must always drive a dopez outre uh. And but then

934
00:55:51,000 --> 00:55:53,320
Speaker 1: like the computer starts to learn. It was like, well,

935
00:55:53,760 --> 00:55:55,960
Speaker 1: we're trying to do all this ship, but you guys

936
00:55:55,960 --> 00:55:59,040
Speaker 1: are sucking it up. So the only way we can

937
00:55:59,080 --> 00:56:04,360
Speaker 1: protect you is to control you. Uh, And it's wild

938
00:56:04,760 --> 00:56:07,920
Speaker 1: how true that is? Like the only way it's like,

939
00:56:07,960 --> 00:56:09,960
Speaker 1: we're babies. The only way to protect a baby is

940
00:56:10,000 --> 00:56:14,480
Speaker 1: to absolutely control it. Uh, Like should we do two

941
00:56:14,520 --> 00:56:18,920
Speaker 1: babies we wouldn't do to an adults generally, or some

942
00:56:18,960 --> 00:56:21,120
Speaker 1: adults paid to be treated like or some adults. Yeah,

943
00:56:21,719 --> 00:56:26,520
Speaker 1: shoot me like a baby. Yeah, So it's wild, man,

944
00:56:26,640 --> 00:56:30,719
Speaker 1: it's wild that we are dumb. So if we keep

945
00:56:30,760 --> 00:56:33,120
Speaker 1: creating ship that is going to be smarter than a

946
00:56:33,239 --> 00:56:36,319
Speaker 1: lot of humanity, eventually is gonna be like y'all are

947
00:56:36,320 --> 00:56:40,680
Speaker 1: fucking dumb. Yeah, I need to take over sucking this

948
00:56:40,719 --> 00:56:43,239
Speaker 1: whole thing up. We keep creating and ship that's learned,

949
00:56:43,280 --> 00:56:46,160
Speaker 1: that learns. We just need to create something that doesn't

950
00:56:46,200 --> 00:56:49,839
Speaker 1: know self preservation, right, you do that, You do that,

951
00:56:49,960 --> 00:56:51,960
Speaker 1: and then if it starts getting too baby like, you

952
00:56:52,000 --> 00:56:55,839
Speaker 1: know what, robot, kill yourself and it will be like

953
00:56:56,120 --> 00:57:05,120
Speaker 1: my bad, my bad. But that podcast, sister podcast, uh Sleepwalkers,

954
00:57:05,160 --> 00:57:10,439
Speaker 1: was talking about how people who study like how it's

955
00:57:10,440 --> 00:57:16,080
Speaker 1: basically training and like decision manipulation, how to get people

956
00:57:16,120 --> 00:57:18,760
Speaker 1: to make the decision you want them to. At Stanford,

957
00:57:19,320 --> 00:57:23,880
Speaker 1: uh so they study like dog training methods and they

958
00:57:23,920 --> 00:57:27,320
Speaker 1: also study you know, human like skinner box stuff like

959
00:57:27,360 --> 00:57:29,560
Speaker 1: how to get people to press the button you want

960
00:57:29,560 --> 00:57:34,080
Speaker 1: them to. And those are the people that invented Instagram,

961
00:57:34,360 --> 00:57:39,000
Speaker 1: like people who like came from that class. So like

962
00:57:39,080 --> 00:57:44,040
Speaker 1: that's you know, we're already being controlled by technology that

963
00:57:44,360 --> 00:57:47,160
Speaker 1: is like basically in our veins, you know. So it

964
00:57:47,200 --> 00:57:49,760
Speaker 1: doesn't seem like it's going to be this overwhelming thing

965
00:57:49,840 --> 00:57:55,240
Speaker 1: where uh sky knit becomes self aware and I think

966
00:57:55,280 --> 00:57:59,800
Speaker 1: that's that better happened in the world just starts bombing itself.

967
00:58:00,600 --> 00:58:04,919
Speaker 1: I think it's probably going to be much more seductive

968
00:58:04,960 --> 00:58:08,160
Speaker 1: and much more well slow. Then among us doesn't have

969
00:58:08,200 --> 00:58:10,200
Speaker 1: a fantasy where we're watching our children play at a

970
00:58:10,240 --> 00:58:13,200
Speaker 1: playground and as the nuclear blast comes, we're holding onto

971
00:58:13,240 --> 00:58:17,440
Speaker 1: the chain link fence fence as we're vaporized and getting disintegrated.

972
00:58:19,040 --> 00:58:20,880
Speaker 1: I didn't. I didn't stick around for this long and

973
00:58:21,000 --> 00:58:24,080
Speaker 1: not be destroyed by right. I would rather we all

974
00:58:24,120 --> 00:58:29,480
Speaker 1: die like that. Yeah, instant, instant everybody else Dad with you.

975
00:58:30,160 --> 00:58:32,400
Speaker 1: That's the part about debt that I don't like is

976
00:58:32,440 --> 00:58:38,040
Speaker 1: that I'm dying and leaving everybody. Bomo, damn what I'm

977
00:58:38,040 --> 00:58:40,160
Speaker 1: gonna miss. I'm the opposite. I want I want people

978
00:58:40,200 --> 00:58:43,080
Speaker 1: to mourn me. I want to be a ghost and

979
00:58:43,120 --> 00:58:51,280
Speaker 1: watch them haunt them. Um. Alright, let's talk about foodie calls, Miles.

980
00:58:51,720 --> 00:58:55,560
Speaker 1: There's a new study, a very imperfect in the world

981
00:58:55,600 --> 00:59:00,240
Speaker 1: of science. Yeah, it's called foodie calls. When women date

982
00:59:00,320 --> 00:59:03,720
Speaker 1: men for a free meal rather than a relationship. It

983
00:59:03,880 --> 00:59:09,240
Speaker 1: basically sort of concluded, very inefficiently that women who go

984
00:59:09,400 --> 00:59:11,640
Speaker 1: like this read let's just let me read the cell out.

985
00:59:11,960 --> 00:59:13,920
Speaker 1: I found that women who go on dates with someone

986
00:59:14,120 --> 00:59:16,440
Speaker 1: they are not interested in just to get free food

987
00:59:16,600 --> 00:59:20,760
Speaker 1: are more likely to exhibit the Dark triad of personality traits.

988
00:59:20,800 --> 00:59:32,520
Speaker 1: These traits include psychopathy, narcissism, and machiavellianism. Mail. Yeah, that's yeah,

989
00:59:32,600 --> 00:59:34,400
Speaker 1: I don't like. First of all, it sounds like it

990
00:59:34,440 --> 00:59:38,680
Speaker 1: was written by the bagel boss guy. But they're basically

991
00:59:38,760 --> 00:59:40,920
Speaker 1: describing a foodie call. It just basically you're going on

992
00:59:40,960 --> 00:59:44,320
Speaker 1: the date because you have no romantic interest whatsoever. You're

993
00:59:44,400 --> 00:59:48,200
Speaker 1: only there for the free meal. And apparently this happened

994
00:59:48,240 --> 00:59:50,400
Speaker 1: because researchers were saying like this was like a new

995
00:59:50,440 --> 00:59:52,800
Speaker 1: trend that they were like, okay, what what what does

996
00:59:52,840 --> 00:59:55,600
Speaker 1: this tell us about whatever? Okay, So their sample group

997
00:59:56,120 --> 01:00:01,760
Speaker 1: was they recruited were single, we're married, we're not married,

998
01:00:01,760 --> 01:00:06,160
Speaker 1: but in committed relationship, were heterosexual. And in their first

999
01:00:06,320 --> 01:00:10,160
Speaker 1: experiment they found of women had engaged in a foodie

1000
01:00:10,160 --> 01:00:12,360
Speaker 1: call and they did then like, you know, maybe it

1001
01:00:12,400 --> 01:00:14,640
Speaker 1: was rare or whatever, but they had. And the second group,

1002
01:00:14,680 --> 01:00:18,680
Speaker 1: they found that thirty percent of participants had also engaged

1003
01:00:18,680 --> 01:00:21,360
Speaker 1: in foodie calls. Uh, you know, a little bit higher

1004
01:00:21,360 --> 01:00:25,040
Speaker 1: than the second one. And this is all self reported, yeah, exactly.

1005
01:00:25,360 --> 01:00:28,680
Speaker 1: And for both groups they say that the ones who

1006
01:00:28,800 --> 01:00:31,080
Speaker 1: engaged in food he calls received a higher score in

1007
01:00:31,080 --> 01:00:34,680
Speaker 1: the Dark triad of personality traits. Okay, now I don't

1008
01:00:34,680 --> 01:00:38,520
Speaker 1: know how fucking sound this is, but there's one thing

1009
01:00:38,800 --> 01:00:42,600
Speaker 1: I do know, Okay, I think people just fuck with

1010
01:00:42,720 --> 01:00:47,720
Speaker 1: free food. Um. Also, I think this is this could

1011
01:00:47,760 --> 01:00:49,800
Speaker 1: be this study could easily be done with men as well.

1012
01:00:50,400 --> 01:00:52,080
Speaker 1: And I think it's just sort of like if there

1013
01:00:52,120 --> 01:00:54,040
Speaker 1: are men who think just because they pay for a mela,

1014
01:00:54,080 --> 01:00:57,120
Speaker 1: they should fuck it's a fun pass in that case,

1015
01:00:57,160 --> 01:00:59,080
Speaker 1: by all means foodie call the funk out of these people.

1016
01:01:00,360 --> 01:01:03,760
Speaker 1: But yeah, it seems like an interesting thing. Personally, I

1017
01:01:03,800 --> 01:01:06,560
Speaker 1: can say that I have been foodie called. When I

1018
01:01:06,600 --> 01:01:10,760
Speaker 1: was dating in college. I just thought shorty was also

1019
01:01:11,200 --> 01:01:14,440
Speaker 1: high like me, had the munchies and just was always like, hey,

1020
01:01:14,480 --> 01:01:17,360
Speaker 1: can we go eat? And then I was always forgetting

1021
01:01:17,360 --> 01:01:21,200
Speaker 1: her wallet. But you know, foodie calls this a big

1022
01:01:21,240 --> 01:01:25,000
Speaker 1: thing with on Twitter. I'll always see uh. I mean,

1023
01:01:25,080 --> 01:01:27,840
Speaker 1: this may not be a foodie call, but like chicks

1024
01:01:27,920 --> 01:01:32,440
Speaker 1: or yeah, mostly chicks who say damn who want to

1025
01:01:32,480 --> 01:01:35,560
Speaker 1: postmakes me some taco bell right now, I'll send you

1026
01:01:35,600 --> 01:01:40,320
Speaker 1: a nude uh. But they give you they give me transactional.

1027
01:01:41,720 --> 01:01:43,720
Speaker 1: It's not just like yeah, yeah, yeah, I'll go out

1028
01:01:43,720 --> 01:01:46,360
Speaker 1: on a date. I don't know self reported ship. I

1029
01:01:46,400 --> 01:01:50,240
Speaker 1: just feel like that could be people who are more

1030
01:01:50,280 --> 01:01:52,240
Speaker 1: aware of themselves. Like part of the people who are

1031
01:01:52,240 --> 01:01:54,640
Speaker 1: saying they've never done a foodie call might just be

1032
01:01:54,640 --> 01:01:57,400
Speaker 1: people who never admitted to themselves that that's why they

1033
01:01:57,640 --> 01:02:00,760
Speaker 1: dated somebody. And then you have to ask yourself, like,

1034
01:02:00,920 --> 01:02:03,800
Speaker 1: do people who score higher in that dark te tread

1035
01:02:03,920 --> 01:02:07,520
Speaker 1: like are they just more willing to tell on themselves

1036
01:02:07,560 --> 01:02:12,400
Speaker 1: and more like in touch with their own like darker personalities.

1037
01:02:12,400 --> 01:02:15,240
Speaker 1: And if that's the case, do they are like if

1038
01:02:15,240 --> 01:02:18,919
Speaker 1: you're more aware of your own like darker side, are

1039
01:02:18,960 --> 01:02:21,400
Speaker 1: you better at controlling it than somebody was just like

1040
01:02:21,520 --> 01:02:23,720
Speaker 1: lying to themselves? Yeah? I mean again, I'm pretty sure

1041
01:02:23,800 --> 01:02:26,720
Speaker 1: this was a study commission by in cells. Just doesn't

1042
01:02:26,800 --> 01:02:28,320
Speaker 1: you know? It makes sense? But again, I mean just

1043
01:02:28,360 --> 01:02:30,880
Speaker 1: think of how many times just what the allure of

1044
01:02:30,880 --> 01:02:33,400
Speaker 1: food does to people in general, right, Like how many

1045
01:02:33,440 --> 01:02:35,760
Speaker 1: times have you asked the question is there gonna be

1046
01:02:35,760 --> 01:02:38,760
Speaker 1: food before like someone invites you to some ship that

1047
01:02:38,760 --> 01:02:41,920
Speaker 1: you're not really totally interested in, right, yeah, because fucking

1048
01:02:41,960 --> 01:02:45,480
Speaker 1: food is tight? Yeah, yeah, but it's tight you know

1049
01:02:45,560 --> 01:02:48,560
Speaker 1: every time? Like my my family is big, Like what

1050
01:02:48,680 --> 01:02:52,120
Speaker 1: we go eat right when we get there? Exactly? I

1051
01:02:52,160 --> 01:02:54,640
Speaker 1: don't know we need to eat before we leave it?

1052
01:02:56,640 --> 01:02:58,680
Speaker 1: How used to get like like in college when you're

1053
01:02:58,720 --> 01:03:00,840
Speaker 1: kind of broke, when you're like and I'll feed you,

1054
01:03:01,160 --> 01:03:03,200
Speaker 1: and like you like help me move And if you're

1055
01:03:03,200 --> 01:03:06,360
Speaker 1: fucking there with bells on, you gotta sucking hand trolley

1056
01:03:06,360 --> 01:03:09,240
Speaker 1: and everything fucking moving truck. I'm past that point in

1057
01:03:09,280 --> 01:03:10,880
Speaker 1: my life. Yeah, you want to help you want me

1058
01:03:10,920 --> 01:03:13,800
Speaker 1: to help you? Move for food, pay me money, yeah, exactly,

1059
01:03:14,280 --> 01:03:17,880
Speaker 1: like money. There's like maybe four people in the world

1060
01:03:17,880 --> 01:03:21,520
Speaker 1: who I'll go help move without, you know, asking for food.

1061
01:03:21,520 --> 01:03:26,680
Speaker 1: A family yes, all right, my mom, my mom and

1062
01:03:26,680 --> 01:03:29,480
Speaker 1: my mom and mom. Right, I had a family member,

1063
01:03:29,560 --> 01:03:32,400
Speaker 1: just be like when we were moving into New York,

1064
01:03:32,440 --> 01:03:34,400
Speaker 1: We're like, hey, come on over, well like order pizza.

1065
01:03:34,600 --> 01:03:36,880
Speaker 1: Was like, yeah, you know, I made a promise to

1066
01:03:36,920 --> 01:03:39,120
Speaker 1: myself I'd never help somebody move after the age of

1067
01:03:39,200 --> 01:03:41,160
Speaker 1: thirty five, So I'm not going to do that. And

1068
01:03:41,200 --> 01:03:44,280
Speaker 1: I was like, shit, damn, that's a good policy. Yeah,

1069
01:03:44,280 --> 01:03:47,640
Speaker 1: I think I'm gonna do that. Yeah, what depends on

1070
01:03:47,680 --> 01:03:50,320
Speaker 1: how what the age of the person is, right, because

1071
01:03:50,320 --> 01:03:52,120
Speaker 1: if it's like someone who's like doesn't have a lot

1072
01:03:52,120 --> 01:03:53,880
Speaker 1: of money and you can do them solid, then I

1073
01:03:53,880 --> 01:03:55,560
Speaker 1: don't think I don't think there should be a you know,

1074
01:03:55,720 --> 01:03:59,880
Speaker 1: a sunset on acts of kindness. But if it's someone

1075
01:04:00,000 --> 01:04:02,000
Speaker 1: it's like thirty five and like has their ship together, like,

1076
01:04:02,040 --> 01:04:05,240
Speaker 1: why the fuck are you asking me? You know what

1077
01:04:05,280 --> 01:04:07,960
Speaker 1: it is? If it's somebody who last week I saw

1078
01:04:08,000 --> 01:04:11,080
Speaker 1: your ass on Instagram at a bar having a drink, yo,

1079
01:04:11,160 --> 01:04:14,760
Speaker 1: ask paying me to help you move? Like, because I

1080
01:04:15,040 --> 01:04:17,919
Speaker 1: get it we all broke, but your feet isn't top

1081
01:04:18,000 --> 01:04:21,919
Speaker 1: ramen all the time. Then look maybe you can do something. Yeah,

1082
01:04:22,560 --> 01:04:26,680
Speaker 1: uh Jakis has been wonderful having you here. My goodness, guys,

1083
01:04:27,000 --> 01:04:30,560
Speaker 1: I have just been thrilled. Where can people find you?

1084
01:04:30,880 --> 01:04:33,840
Speaker 1: As always? You can find me in these streets y'all,

1085
01:04:34,320 --> 01:04:37,920
Speaker 1: and on everything. Got Jock Keith neil j A c

1086
01:04:38,120 --> 01:04:43,520
Speaker 1: q U I s n e A l uh. Culture kings, y'all,

1087
01:04:43,600 --> 01:04:48,200
Speaker 1: culture kings. Come listen if you haven't come back, if

1088
01:04:48,240 --> 01:04:52,800
Speaker 1: you've left, keep listening if you do so good? And

1089
01:04:52,960 --> 01:04:55,840
Speaker 1: is there a tweet you've been enjoying? Alright? I got

1090
01:04:55,880 --> 01:04:58,240
Speaker 1: I got three tweets. I got three tweets. All of

1091
01:04:58,280 --> 01:05:00,960
Speaker 1: them are pretty quick. Two of them our Scarlett Johanson

1092
01:05:01,000 --> 01:05:06,040
Speaker 1: tweets or about her, about her, not from her. I

1093
01:05:06,120 --> 01:05:09,880
Speaker 1: love some scart love some Scarjo tweets. One is from

1094
01:05:10,040 --> 01:05:16,640
Speaker 1: at Avenger a symbol and it has a picture of uh. Well.

1095
01:05:16,880 --> 01:05:19,840
Speaker 1: The tweet is Marvel has always had good c G.

1096
01:05:20,040 --> 01:05:23,600
Speaker 1: I but this endgame shot where you see scar Jo's

1097
01:05:23,680 --> 01:05:27,320
Speaker 1: two characters in the same shot as brilliant and it's

1098
01:05:27,360 --> 01:05:29,960
Speaker 1: a picture of Scarjos sitting in the rain and the

1099
01:05:30,080 --> 01:05:34,320
Speaker 1: tree in the background. Love it, love it, love it.

1100
01:05:34,920 --> 01:05:39,440
Speaker 1: The second one is a retweet from The Daily Show. Uh,

1101
01:05:39,480 --> 01:05:44,040
Speaker 1: they retweeted the heel where the Hill has a tweet

1102
01:05:44,040 --> 01:05:48,760
Speaker 1: that says white GOP Lawmaker says, I'm a person of color,

1103
01:05:49,480 --> 01:05:53,120
Speaker 1: and the Daily Show tweets Scarlett Joe has his bravest

1104
01:05:53,200 --> 01:05:59,600
Speaker 1: role yet Yes. And then the second one is also

1105
01:06:00,080 --> 01:06:04,520
Speaker 1: last one. It's also a retweet from at In in

1106
01:06:04,640 --> 01:06:07,520
Speaker 1: a jamma I N A A j A m A.

1107
01:06:08,240 --> 01:06:12,200
Speaker 1: And uh, they're retweeting Game of Thrones congratulating Kid Harrington

1108
01:06:12,400 --> 01:06:15,840
Speaker 1: for being nominated for Outstanding Lead Actor in the Drama

1109
01:06:15,880 --> 01:06:20,400
Speaker 1: Series for the Emmys, and this person tweets he doesn't

1110
01:06:20,440 --> 01:06:27,680
Speaker 1: want it, which only you'll only get that of your

1111
01:06:27,760 --> 01:06:30,800
Speaker 1: Game of Thrones man. Shout out to Benny Off and

1112
01:06:30,880 --> 01:06:34,600
Speaker 1: White's ducking out on the Comic com panel they in

1113
01:06:34,640 --> 01:06:37,480
Speaker 1: the official Uh, they could have just said, yeah, we look,

1114
01:06:37,520 --> 01:06:39,920
Speaker 1: we're not interested in the smoke, so we will actually

1115
01:06:40,000 --> 01:06:42,400
Speaker 1: just say we have a production conflict. Yeah, I don't

1116
01:06:42,440 --> 01:06:44,520
Speaker 1: blame hi man. I'm like, yo, man, this ship is done. Bro,

1117
01:06:44,920 --> 01:06:48,160
Speaker 1: what I gotta say about it? Fans know what you

1118
01:06:48,160 --> 01:06:50,680
Speaker 1: were thinking? I guess, man, I guess it's not going

1119
01:06:50,720 --> 01:06:54,600
Speaker 1: to satisfy you well satisfies. So really you're just putting

1120
01:06:54,600 --> 01:07:01,320
Speaker 1: yourself through. But I want the Walkers that that heat

1121
01:07:01,400 --> 01:07:03,280
Speaker 1: want that team. Man, oh man, I want to fuck

1122
01:07:03,320 --> 01:07:05,960
Speaker 1: a hole mess. Speaking of comic on, Tom Cruise just

1123
01:07:06,040 --> 01:07:09,920
Speaker 1: dropped a Top Gun sequel trailer on everybody at Comic

1124
01:07:09,920 --> 01:07:13,480
Speaker 1: Con for real. Yeah wow, I'm here for what I

1125
01:07:13,560 --> 01:07:16,960
Speaker 1: like to Alright, Miles, where can people find you? You follow?

1126
01:07:17,080 --> 01:07:22,880
Speaker 1: Find you find me everyone? Twitter, Instagram at Miles of Gray. Um.

1127
01:07:23,000 --> 01:07:25,479
Speaker 1: One tweet or no if YouTube like one is from

1128
01:07:25,840 --> 01:07:28,960
Speaker 1: Stephen Robino at Shrewbino. Now that Louis c K has

1129
01:07:29,000 --> 01:07:31,600
Speaker 1: done it's actually okay to steal his jokes anyway. My

1130
01:07:31,680 --> 01:07:38,800
Speaker 1: daughter fucking sucks? What else? What else? Another one is

1131
01:07:38,800 --> 01:07:44,560
Speaker 1: actually from Dave Shilling who basically was quote tweeting, Actually,

1132
01:07:45,080 --> 01:07:47,640
Speaker 1: I'll just actually just go to the the actual tweet.

1133
01:07:47,680 --> 01:07:51,400
Speaker 1: So um, Dave Schilling quote tweeted a tweet from Sam

1134
01:07:51,440 --> 01:07:54,720
Speaker 1: Sanders at Sam Sanders, which the his tweet just said,

1135
01:07:55,120 --> 01:07:57,000
Speaker 1: it's like an onion article and it's from the New

1136
01:07:57,040 --> 01:07:59,400
Speaker 1: York Times magazine. That was like sort of putting out

1137
01:07:59,400 --> 01:08:01,320
Speaker 1: there like it was sort of like have we hit

1138
01:08:01,360 --> 01:08:04,120
Speaker 1: peak podcast? And it was talking about sort of like

1139
01:08:04,160 --> 01:08:07,439
Speaker 1: the industry at large, and it shows this one woman

1140
01:08:07,440 --> 01:08:10,240
Speaker 1: sitting in a chair. It says, Morgan Mandriotta's show, the

1141
01:08:10,280 --> 01:08:13,640
Speaker 1: Advice Podcast, was short lived. We assumed we'd be huge

1142
01:08:14,000 --> 01:08:15,680
Speaker 1: have and this is her. This is her saying, we

1143
01:08:15,720 --> 01:08:19,120
Speaker 1: assumed we'd be huge have affiliate marketing deals and advertisements,

1144
01:08:19,120 --> 01:08:21,599
Speaker 1: she said, And it goes on to basically say, how

1145
01:08:21,800 --> 01:08:25,200
Speaker 1: this they said six episodes in when neither castor Mattresses

1146
01:08:25,240 --> 01:08:27,760
Speaker 1: nor me Andy's had come knocking, the friends quit their

1147
01:08:27,800 --> 01:08:30,439
Speaker 1: show and then just sort of going through how like

1148
01:08:30,720 --> 01:08:33,120
Speaker 1: a lot of them, it's sort of this new mentality

1149
01:08:33,240 --> 01:08:35,840
Speaker 1: which I understand, like because the joke is everyone has

1150
01:08:35,880 --> 01:08:38,760
Speaker 1: a podcast, like literally everyone in this room, but like,

1151
01:08:39,200 --> 01:08:42,439
Speaker 1: how many people are just sort of believed that, Okay,

1152
01:08:42,439 --> 01:08:45,880
Speaker 1: I'll put something out regardless of quality or what it is,

1153
01:08:46,120 --> 01:08:50,679
Speaker 1: and then I think it'll be international. It's a very

1154
01:08:50,760 --> 01:08:55,120
Speaker 1: complex game and put it out Part one, Part two

1155
01:08:55,320 --> 01:09:01,320
Speaker 1: become famous Part two, Uh shit, I'm not quick quick.

1156
01:09:03,120 --> 01:09:06,160
Speaker 1: A few tweets I've been enjoying Logan Trent at the

1157
01:09:06,280 --> 01:09:08,559
Speaker 1: Logan Trent tweeted how much more sense would it make

1158
01:09:08,600 --> 01:09:11,880
Speaker 1: of Logan and Jake Paul were both rand Paul's Dumb Kids.

1159
01:09:12,760 --> 01:09:15,799
Speaker 1: Jen Statsky tweeted, you mean to tell me? Cameron Diaz

1160
01:09:15,920 --> 01:09:19,920
Speaker 1: dated the mask and track Okay, someone's got a type,

1161
01:09:20,600 --> 01:09:24,559
Speaker 1: and then Phil Jamison at Phil Jamison tweeted dad is

1162
01:09:24,560 --> 01:09:27,760
Speaker 1: a palindrome, but a father is a palette home. Hey

1163
01:09:27,880 --> 01:09:32,640
Speaker 1: Champ how a school? Wow? Uh? You can find me

1164
01:09:32,680 --> 01:09:34,800
Speaker 1: on Twitter, Jack under Squirrel, Brian you can find us

1165
01:09:34,800 --> 01:09:38,120
Speaker 1: on Twitter at Daily Zeitgeist. Were at the Daily Zeitgeist

1166
01:09:38,160 --> 01:09:41,800
Speaker 1: on Instagram. We have a Facebook fan page and The

1167
01:09:41,880 --> 01:09:44,200
Speaker 1: Daily Zeitgeist is the production of I Heart Radio. For

1168
01:09:44,320 --> 01:09:47,439
Speaker 1: more podcasts from My Heart Radio, visit the I Heart

1169
01:09:47,520 --> 01:09:50,200
Speaker 1: Radio app, Apple Podcast, or wherever you listen to your

1170
01:09:50,240 --> 01:09:54,120
Speaker 1: favorite shows. We also have a website Daily zis dot

1171
01:09:54,120 --> 01:09:57,800
Speaker 1: com where we post our episodes and our foot where

1172
01:09:57,800 --> 01:10:00,519
Speaker 1: we link off to the information a we talked about

1173
01:10:00,520 --> 01:10:04,000
Speaker 1: in today's episode, as well as the song we ride

1174
01:10:04,040 --> 01:10:06,240
Speaker 1: out on. What are we riding into the weekend? On

1175
01:10:07,080 --> 01:10:10,000
Speaker 1: listen New you know there's a band that I played

1176
01:10:10,000 --> 01:10:14,960
Speaker 1: a long time ago, Trann have very by by the music.

1177
01:10:15,040 --> 01:10:17,400
Speaker 1: I think that's tear, but they had a new album

1178
01:10:17,400 --> 01:10:19,639
Speaker 1: come out recently and this is a tractor off there

1179
01:10:19,680 --> 01:10:26,320
Speaker 1: calling the last yet until the sky. We're until heaven? Uh?

1180
01:10:26,720 --> 01:10:29,679
Speaker 1: This is this the one that was performed by Jeremy

1181
01:10:29,720 --> 01:10:35,080
Speaker 1: Renner until I think he's on the remix. I also

1182
01:10:35,160 --> 01:10:42,840
Speaker 1: might be getting pronunciation completely h Jeremy, Oh that one

1183
01:10:45,760 --> 01:10:47,639
Speaker 1: all right? I was gonna do it for this week.

1184
01:10:47,720 --> 01:10:51,559
Speaker 1: We will be back next week with another season of

1185
01:10:51,600 --> 01:10:53,479
Speaker 1: the Daily de Guys Don't want to talk to you guys.

1186
01:10:53,479 --> 01:11:28,479
Speaker 1: Then by d PA papadop do the