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Speaker 1: Hello the Internet, and welcome to Season one, eight five,

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Speaker 1: Episode three. Guys, the production of I Heart Radio. This

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

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Speaker 1: America's shared consciousness. It is Wednesday, May nine, twenty twenty one.

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Speaker 1: My name is Jack O'Brien, a K Buck, jack Minster Fuller,

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Speaker 1: Mountain dew Uh, and I'm sure to be joined as

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Speaker 1: always buy my co host, Mr Miles Grads, Miles Gray,

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Speaker 1: a K Bone, Choos and Harmony, Choke Pound Gangster Snoop

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Speaker 1: Choogy two, Old Choogie Bastard, Tube Daddy, Choogie, Smalls, Chook

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Speaker 1: Tank Clan, Chook Face Killer, LLL, Choop J and Choop

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Speaker 1: D from Public Enemy O ch on the Brain. Shout

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Speaker 1: out to Ravioli, God on the Discord for that wonderful

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Speaker 1: collection of old school rappers. The God of Ravioli's love

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Speaker 1: that guy, Miles. We are so fortunate, so thrilled to

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Speaker 1: be joined in our third seeded by the host of

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Speaker 1: the Line podcast Running from Cops Missing, Richard Simmons. He

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Speaker 1: is a writer, director, podcast producer Dan Tobers of those Hey, Hey, Yeah,

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Speaker 1: thank you for doing it for me. Hi, Welcome, Welcome,

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Speaker 1: Where are you coming to us from? Dan, I mean

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Speaker 1: what Stock, New York right now? It's a beautiful day. Yeah,

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Speaker 1: super Sonny springs here that's gone? Is it? Is it

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Speaker 1: as picturesque as I imagine that part of the country

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Speaker 1: to be. I mean, only going beyond like my very

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Speaker 1: idyllic idea of it of Woodstock, but I always feel

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Speaker 1: like rolling hills. It's like that kind of thing. It's

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Speaker 1: actually the oldest or second oldest mountain range in the world.

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Speaker 1: The cat Skills are, the Adirondacks are So how do

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Speaker 1: you date that? They just I don't know, they carbon

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Speaker 1: dated or something. They've got some sort of thing where Yeah,

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Speaker 1: I just like that's a claim you could have, Like

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Speaker 1: you see that mountain over there, that's the oldest mount

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Speaker 1: in the world. Totally. Well, I love that. It's such

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Speaker 1: a great claim to fame because they're small. They're not

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Speaker 1: like the Rockies. So you feel a little lame until

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Speaker 1: you realize that the oldest, and then that's looking awesome. Yeah,

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Speaker 1: you lived your whole life with shame of how small

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Speaker 1: the mountains were a little bit with my pathetic little mountains.

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Speaker 1: But they're the oldest, they're the old forgot that, all right, Dan,

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

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Speaker 1: bit better in a moment. First couple of things we're

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Speaker 1: talking about today. We're gonna check in with Ohio's vaccine

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Speaker 1: lottery scheme, a kvaximillion. Is that a play on something

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Speaker 1: like thanks a million? Maybe Maximilian maximillion? Yes, that makes

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Speaker 1: way more sense, but even but as a thing, right,

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Speaker 1: is Maximilian like a good marketing? Hey? Maxim like the

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Speaker 1: name or is there a phrase I'm missing? I could

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Speaker 1: definitely see a lottery named Maximilion. Yeah, our nineties obsession,

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Speaker 1: eighties nineties obsession with the word max and maxima. Uh.

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Speaker 1: We'll talk Roe v Wade. Uh. We'll talk about the

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Speaker 1: Arizona recount. We will talk about Joe Rogan's claim that

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Speaker 1: white men are about to be canceled. We will ask

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Speaker 1: the question why we hate our own voices and just

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Speaker 1: us specifically, Yeah, just us and the three of us? Uh.

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Speaker 1: And also I'm alright with mine? Alright, Well, we've got

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Speaker 1: a healthy podcast. Yeah, what the fuck is this guy? Okay?

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Speaker 1: Sense itself. We might even check with Ariana Grande marrying

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Speaker 1: young Rando himself, whose name I did not write down,

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Speaker 1: but another famous person marrying a non famous person, which

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Speaker 1: I think the Saber metrics on that are actually pretty good.

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Speaker 1: So we'll we'll talk about that all of that plenty Moore.

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Speaker 1: But first Dan, we like to ask our guest, what

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Speaker 1: is something from your search history that is revealing about

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Speaker 1: who you are? Uh, just something there's a lot of addresses.

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Speaker 1: I went back and looked. There's a lot of addresses,

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Speaker 1: and I realized that it's something I read them, like

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Speaker 1: when I, oh, well I got I got. I'm not

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Speaker 1: giving the full I got Clinton Street, got Coloney Island Avenue. Um,

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Speaker 1: I've Kingston, New York, of course, classic, it's a classic.

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Speaker 1: Um I have Willow, New York. Basically, I just whenever

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Speaker 1: I talked to somebody, your any of you with them,

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Speaker 1: I want to see like where they're at, like what

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Speaker 1: their house or their apartments. Like yeah, so that's a

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Speaker 1: weird thing. So when you talk to somebody, you ask

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Speaker 1: them what their addresses and then yeah, usually I don't ask,

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Speaker 1: but like usually you can see it's like on the

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Speaker 1: bottom of their email or like it just takes a Google.

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Speaker 1: It's a little bit of research just to kind of

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Speaker 1: like give yourself a full picture sort of their environment,

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Speaker 1: where they're at, how they're Yeah, I like to see

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Speaker 1: where people are. I think that's interesting. I think it's

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Speaker 1: interesting where people choose to live and then where people,

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Speaker 1: um like, what they're into and if they're like it

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Speaker 1: says a lot about you. Have you ever seen have

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Speaker 1: you ever like while you embark on this fact finding mission,

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Speaker 1: been surprised at what you've found? Like when you search

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Speaker 1: something like oh yeah, somebody recently a friend of mine

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Speaker 1: that I was surprised at how nice their house was,

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Speaker 1: like super super super nice. Um, and they do not

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Speaker 1: present that way? Is that more like like they're kind

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Speaker 1: of a man. Yeah, yes, they look like they live

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Speaker 1: in a ship hole. Yeah. Do you reveal that? Do

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Speaker 1: you tell them as you're having a conversation, like just

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Speaker 1: googled your play? Yeah, it's sort of like sub training knowledge.

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Speaker 1: It's like something keeping the back of my head like

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Speaker 1: to sort of no, no, I don't tell them that

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Speaker 1: I google them because that's weird, Like nobody, nobody wants

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Speaker 1: you to do that. Yeah, well now they know what

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Speaker 1: is something you think is overrated? I have a couple

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Speaker 1: of um that I'll just pick a topo Chico okay, okay, rights,

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Speaker 1: what's too aggressive? Just sick? Of hearing about it. Yeah. Yeah,

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Speaker 1: I'm sick of the name it. I'm having trouble figuring

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Speaker 1: out like, are there like like mineral water, like sparkling water,

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Speaker 1: so elias who can be Like I get some bubbles

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Speaker 1: may have a different mouth feel, but at this point,

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Speaker 1: like especially in l A Topo Chico, people are acting

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Speaker 1: like if you drink anything else, like you're some kind

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Speaker 1: of war criminal or something. I don't know. It's bubbly

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Speaker 1: water and it's I get I get that it's in

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Speaker 1: a glass bottle, but Coca Cola owns it now, So

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Speaker 1: what's the what's what's the difference? Oh? Is that right? Yeah?

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Speaker 1: I think they were bought out by by Coca Cola,

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Speaker 1: Tope Topa Chico, Coca Cola Topa Cola. I mean the

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Speaker 1: mouth feel of the names, yeah, just the five throughout

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Speaker 1: mouth feel, it's pretty incredible. Yeah, what do you have

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Speaker 1: a type of sparkling water or sparkling So I'm already started. Yeah,

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Speaker 1: I'm already starting from just I'm just not interested and

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Speaker 1: now and then I have to hear people talking about

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Speaker 1: something that I'm not interested in. You have you're sick

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Speaker 1: of the Lacroix wave, you're sick of this, all this

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Speaker 1: Seltzer nonsense. Well, I wouldn't say, well I do. It's

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Speaker 1: a total lie. I mean that it is a total lie.

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Speaker 1: I'm drinking the spin spin Drift. Yeah, but that's I

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Speaker 1: don't if it doesn't have it has a flavor in it.

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Speaker 1: It's like pop. It's like, so you're you're in good

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Speaker 1: company because Jack is also drift your doctor. Uh? Is

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Speaker 1: that your favorite flavor of spin Drift? The raspberry line.

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Speaker 1: I wouldn't have picked it right now. I kind of

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Speaker 1: went in the grab bag. I like a grapefruit. I

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Speaker 1: like a grapefruit as well. Grapefruit and pineapple is kind

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Speaker 1: of a new, a new one that I've been enjoying. Oh,

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Speaker 1: I haven't seen that. The orange one is a little

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Speaker 1: it's a little heavy. Yeah. Uh. Strawberry is interesting because

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Speaker 1: they have it's like they captured the the dirtiness of

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Speaker 1: like a strawberry that like, like, I think there's some

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Speaker 1: stem in there, little like that. I think they tried

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Speaker 1: to incorporate the taste of the stem uh into the strawberry.

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Speaker 1: But it definitely is like among the more organic tastes

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Speaker 1: that you will get in a in a canned beverage.

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Speaker 1: But Toplo Chico is definitely for becoming like so popular

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Speaker 1: and dominant in the culture. It's it's very aggressive. It's

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Speaker 1: like at one side of the poll of like the

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Speaker 1: amount you can possibly carbonate anything. It's so many bubbles. Yeah. Last,

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Speaker 1: it'll last for a couple of days if you just

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Speaker 1: leave it out. Yeah. When you drink it, it feels

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Speaker 1: like you have like a mouthful mementos and you're drinking coke. Yeah,

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Speaker 1: like I want, I want to approximate the feeling of

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Speaker 1: tax in my mouth. Hit me up, what is something

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Speaker 1: you think is underrated? Dam The first one was Celery

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Speaker 1: that was making lunch, and then the second one was

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Speaker 1: Ethan Hawk. Oh yeah, I'm equally interested in both of

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Speaker 1: those tapes. But yeah, well Celery, Celery, Ethan Hawk. What's first?

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Speaker 1: Let's do Celery first, Yeah, and then we'll get into this.

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Speaker 1: It's delicious. Hey, it's got negative calorie. It's not that

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Speaker 1: I care, but it's got negative calories, which is always interesting. Right.

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Speaker 1: You lose more calories eating it, right, Um, And you

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Speaker 1: can just do It's just it's just very flavorful. That

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Speaker 1: and Celery and then includes celery root. Um. Which is

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Speaker 1: a delight smashed celery root as instead of like mashed

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Speaker 1: potatoes and you put some apples in there. It's delicious.

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Speaker 1: And then the Bow, the Bow place next door to

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Speaker 1: my apartment. Um, they sell the sautepe celery like they

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Speaker 1: literally treated like brocco, right sautee. Because I've always it's

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Speaker 1: either raw in a crude type context, or I'm using

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Speaker 1: it as like my you know, trinity of bell peppers,

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Speaker 1: onion celery or sofrito if you're doing Italian food, but

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Speaker 1: never like just taking it as an ingredient, being like

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Speaker 1: here is the celery stock. No, it's great, it's really

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Speaker 1: it's I mean it's it's super it's like basically poison

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Speaker 1: because all it is is corn starch and salt and

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Speaker 1: then like celery. But like I think they just cook

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Speaker 1: it for like a second and it's good. You've got

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Speaker 1: a little crunch, yeah celery. Yeah. The meat sauce that

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Speaker 1: I make celery is a key, a key ingredient. It's

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Speaker 1: a little yeah, like a meat uh boling and just

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Speaker 1: chopped celery. I would have said that if I could

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Speaker 1: think of the word for it. Yeah. Yeah. And carrots.

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Speaker 1: There's probably carrots in that right over said that you

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Speaker 1: need your your onion juice, celery a little panchet. Now, look,

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Speaker 1: I don't know how much tomato concentrate you use, because

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Speaker 1: originally in Bologna they don't use a lot of tomatoes

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Speaker 1: in their cooking. But you know that's up to the

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Speaker 1: shift themselves. Yeah, I'm a I love a lot of tomatoes.

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Speaker 1: All right, let's talk about Ethan Hawk. Yeah, let's get

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Speaker 1: first of all, what do I see in him? I

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Speaker 1: just see longevity. I see somebody who isn't touching his face.

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Speaker 1: He looks like he got beat up. Now if you

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Speaker 1: see him, which is great, and I think he's my age,

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Speaker 1: but like he's sort of aging even. I mean, here's

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Speaker 1: a handsome he's in the handsome man club, but like

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Speaker 1: he's sort of like he's he's got big like divots

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Speaker 1: in his face and like he's really letting it go.

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Speaker 1: I just think that's cool. And he does everything right.

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Speaker 1: He writes novels which I haven't read. But he writes

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Speaker 1: novels but he does not. Yeah, so I'm just reading

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Speaker 1: for him. I'm reading he I don't know. I have

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Speaker 1: no idea. I don't think I could ever get myself

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Speaker 1: to read this is it? So I guess there's some

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Speaker 1: complexity to my because I don't think I would ever

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Speaker 1: read an Ethan Hawk novel, but I admire that he

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Speaker 1: does it, and supposedly they're good. Um, I don't know

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Speaker 1: if I'd be able to get past the Ethan Hawk nous,

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Speaker 1: the fact that Ethan hawf is as Hawk is that

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Speaker 1: was typewriter like typing it would I think that would

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Speaker 1: be a bit of a barrier. Um letting myself get

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Speaker 1: into it. And he calls himself an artist. I like

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Speaker 1: people like that, Like I like actors who don't like

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Speaker 1: downplay it. I like actors who are like, no, no, no,

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Speaker 1: I'm an artist, is what I do. Yeah, And I'm

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Speaker 1: appreciative of that. He says. This is his one novel

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Speaker 1: ash Wednesday from two thousand two. Jimmy is a wall

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Speaker 1: from the army, but with characteristic fierceness and terror. He's

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Speaker 1: about to embark on the biggest commitment of his life.

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Speaker 1: Christie is pregnant with Jimmy's child, and she's determined to

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Speaker 1: head home with or without Jimmy, to face up to

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Speaker 1: her past and prepare for the future. Somehow barely across

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Speaker 1: America from Albany to New Orleans to Ohio in Texas.

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Speaker 1: In a souped up Chevy Nova, Christie and Jimmy are

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Speaker 1: transformed from passionate but conflicted lovers into a young family

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Speaker 1: on a magnificent journey. And now he has a new

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Speaker 1: novel that comes out this year and the first line

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Speaker 1: of the description is the blistering story of a young

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Speaker 1: man making his Broadway debut and Henry the fourth just

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Speaker 1: as his marriage implodes, that man with range, no have range. Yeah,

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Speaker 1: he's going towards the writing what you know type situation. Yeah,

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Speaker 1: a lot of floating marriages or strange like what happens

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Speaker 1: is that they're like what happened with Uma Thurman? You know?

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Speaker 1: Oh does she because it's their daughter who's the one

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Speaker 1: that's all famous? Now right? Oh does he have a

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Speaker 1: famous daughter? Yeah? Uma Thurman, isn't it? And Ethan Hawk's daughter.

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Speaker 1: I do not keep up too choogy for that. Oh

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Speaker 1: that's that was the one that was in Uh. Yeah,

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Speaker 1: she was in Stranger Things the second season or the third,

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Speaker 1: the last season Maya Hawk and then she was once

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Speaker 1: upon a time in Hollywood too. Oh, she was like

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Speaker 1: one of the she was like the charismatic Manson kid

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Speaker 1: who like kept hitting on Brad Pitt from like on

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Speaker 1: the corner. That's your kids. Yeah, that's okay. Then she's

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Speaker 1: oh no, she's she's the one who gets shook when

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Speaker 1: they try and kill homegirl in the murder scene up

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Speaker 1: on the Hill. Got it, Okay, that's Maya Hawks someone

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Speaker 1: who gets she's the shook murderer who like leaves. I

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Speaker 1: love that movie. It was a lot of fun. All right,

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Speaker 1: let's talk about Ohio, shall we? They have done something

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Speaker 1: that we were all like, has it really come to this?

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Speaker 1: The Vaximillion, which famously a play on maximilion. They're they're

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Speaker 1: giving out a million dollars to one lucky h dos er,

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Speaker 1: one lucky person who gets the vaccine, and it seems

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Speaker 1: like that might be working. So like, sociologically, they've found

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Speaker 1: that giving out a massive prize to people are giving

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Speaker 1: out the promise of a of a massive prize to

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Speaker 1: people as opposed to giving out like dividing that money

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Speaker 1: out into individuals. The lottery version is obviously much more

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Speaker 1: of a draw. Well will do a better just saying

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Speaker 1: the idea of enter for your chance to hit it big,

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Speaker 1: which is like the reason why, like I would fill

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Speaker 1: out countless things slips of paper at the mall to

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Speaker 1: try and win afford explore for my parents that they

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Speaker 1: wouldn't want. Yeah, yeah, you're like, yeah, we just love

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Speaker 1: that yeah model, Like it's like publishers clearinghouse too. I mean,

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Speaker 1: this is it is essentially America, right, Like that's that's

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Speaker 1: the entire kind of promise of American capitalism. And so

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Speaker 1: they were like, why don't we use that? What about

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Speaker 1: the people who already got it? Like so so did

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Speaker 1: they did? Everybody sort of like alright, like people like

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Speaker 1: me who are like, yeah, I'm first in line, I

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Speaker 1: want it, and then like they were all the sort

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Speaker 1: of lagging people and they're like, all right, we'll give

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Speaker 1: you guys a million dollars if He's like, that is

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Speaker 1: sort of rewarding negative and it's incentivizing people to sort

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Speaker 1: of be skeptics, isn't it. Yeah it does. It does

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Speaker 1: seem to reward the holdouts for sure, but they are

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Speaker 1: seeing results that they've seen. So vaccine rates were dropping

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Speaker 1: in the thirty to seventy year old set a thirty

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Speaker 1: to seventy four and then out of nowhere, I know,

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Speaker 1: the small thirty seventy four demographic most adults. Uh. And

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Speaker 1: then suddenly they spiked by by six percent. It's not

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Speaker 1: like it's everybody's now vaccinated, but it seems like it's

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Speaker 1: starting to starting to move in the right direction. Oh

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Speaker 1: I seen six percent after weeks of decline. That yeah,

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Speaker 1: a lot of people like that. I mean this people

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Speaker 1: like a free deal, a chance to win. But I

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Speaker 1: know like part of it too is they're like racing

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Speaker 1: the clock because like a lot of states are like, hey, June,

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Speaker 1: it's call yourself future because it's mask off time, baby,

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Speaker 1: and we're going back. And I think they're like, let's

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Speaker 1: try and get as many inoculations in when we go

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Speaker 1: when we time travel to nineteen and then see what

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Speaker 1: kind of spread we're dealing with again, and why is

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Speaker 1: the June mask off things seen as immovable. They're just

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Speaker 1: like that's how that's all we got. That's all we

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Speaker 1: got because you do this thing to try and like,

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Speaker 1: you know, tell the constituents like, hey, guys, if you

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Speaker 1: if you, if you stay in line, then June can

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Speaker 1: be a party. And then there in their minds are

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Speaker 1: like that's great because they will have vaccinations and then

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Speaker 1: we'll have like two and a half solid months to

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Speaker 1: get everyone vaccinated. Cut to oh, we're stalling out at

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Speaker 1: ish and we're about to reopen give him a million dollars. Yeah,

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Speaker 1: I mean a lot of people were talking about the

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Speaker 1: tactics to like did it have to be a million?

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Speaker 1: Couldn't you? Because like it was weekly for five weeks,

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Speaker 1: they had five million dollars to give away. They're like,

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Speaker 1: what if you did a half million and you doubled

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Speaker 1: the length of this campaign, Like that's still a significant

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Speaker 1: amount of people? Did it have to be a million dollars?

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Speaker 1: Like is that enough? But then you but then you

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Speaker 1: open up later? Yeah exactly, Yeah, I'm not done with

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Speaker 1: that up later, and you also sacrifice the vaxximillion brand

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Speaker 1: they had already they had this, Yeah exactly. All right,

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Speaker 1: let's take a quick break and we'll be right back.

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Speaker 1: And we're back, and let's check in with the Roe v.

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Speaker 1: Wade Supreme Court story, just because I feel like we've

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Speaker 1: heard a number of times that like this is a possibility,

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Speaker 1: but this you know, pending decision, really seems like it

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Speaker 1: is the the case we've been warned about. The justices

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Speaker 1: specifically chose a case that lower courts UH had mostly

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Speaker 1: upheld precedent on. So it basically means that like they're

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Speaker 1: coming into an argument that seems like it had been

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Speaker 1: settled and they're starting some ship again. So it's clear

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Speaker 1: that they have something to say, like they have they

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Speaker 1: think there's work to be done on what I think

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Speaker 1: most people thought was settled precedent. Yeah, so this people

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Speaker 1: are saying like, they wouldn't have done this unless a

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Speaker 1: major kind of change was coming. And it's probably not

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Speaker 1: going to be a change in the pro choice direction.

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Speaker 1: I don't think Amy Coney Barrett is going to be like, yeah,

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Speaker 1: we're just let's be a little bit more liberal on them.

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Speaker 1: She was famously tight lipped in or you know when

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Speaker 1: people were asking those questions because of this exact moment,

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Speaker 1: you know, because what Trump has put in a third

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Speaker 1: of the Supreme Court now and we are, yeah, we're

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Speaker 1: looking at it. This conservative majority that yeah, is is

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Speaker 1: the the exact thing that people were fearing that of

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Speaker 1: like what a Trump administration looks like or what you

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Speaker 1: know what this conservative conservatives that the wheel gives you

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Speaker 1: all these other justices. Right, But if you're I mean,

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Speaker 1: if you're fearing it, like, don't you want it sooner

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Speaker 1: rather than later? For me, it's just like, all right,

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Speaker 1: this is what's gonna happen if there's all if you

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Speaker 1: put all these people in Supreme Court and we know

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Speaker 1: this is coming down the pike at some point, like

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Speaker 1: let's go because the sooner it happens and the sooner

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Speaker 1: that they curtail Roe v. Wade, than the sooner people

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Speaker 1: are going to realize that the only way to change

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Speaker 1: that is to is to vote. The way that is

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Speaker 1: to is to kick people out of office and like

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Speaker 1: and or or create legislation or create a constitutional amendment

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Speaker 1: like like it. I'd rather do that than just waiting

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Speaker 1: for the other shooter drop. I think, yeah, more than anything.

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Speaker 1: That's just how you know American politics works, Like it

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Speaker 1: has to get to that point for a plurality of

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Speaker 1: people to be like, oh fuck, we gotta do something

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Speaker 1: because before when everyone was like warning like no, this

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Speaker 1: could be bad, like you kind of need to think

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Speaker 1: about this now. Yeah, I think, Dan, that's what's that.

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Speaker 1: I don't know what else could happen for things to

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Speaker 1: actually change, But I mean when you look at all

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Speaker 1: the state houses across the country, I think far too

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Speaker 1: many are willing to you know, restrict access to these

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Speaker 1: kinds of procedures than actually offer them to their to

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Speaker 1: the constituents. So yeah, it's it's a very dark time.

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Speaker 1: And I think already now when you see the amount

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Speaker 1: of people who are having to like navigate their murky

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Speaker 1: laws to go out of state or find other ways

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Speaker 1: to have this kind of access, just how it's just

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Speaker 1: a really bleak picture. But yeah, I mean, I don't

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Speaker 1: know what this does to help force a conversation about like, well,

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Speaker 1: if that's the case, what are we doing about Supreme

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Speaker 1: Court justices and term limits? Are we expanding the courts now?

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Speaker 1: Because I think maybe, you know, if this does happen,

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Speaker 1: that makes all of those other conversations happen with a

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Speaker 1: little more you know. Figure. Yeah, they're saying it would

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Speaker 1: revert at least twenty states to the pre road days

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Speaker 1: when basically rich women could get safe abortions and poor

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Speaker 1: women could not, Right, So I guess my fear would

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Speaker 1: be that, And I think this is born out a

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Speaker 1: lot in the past four years that even with something

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Speaker 1: horrible with legislation or from the Supreme Court, that people

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Speaker 1: still don't do what they need to do to fix things.

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Speaker 1: So then when you really would end up with just

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Speaker 1: like people getting back alley abortions again, I mean unfortunately, Yeah,

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Speaker 1: the three quarters of the population and want to keep

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Speaker 1: her in place, like according to polling. So this is

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Speaker 1: straight up like activists like just out of step with

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Speaker 1: the rest of the country or with the majority of

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Speaker 1: the country, I guess. So it would seem to be

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Speaker 1: like this would be all the reason that the Democratic

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Speaker 1: Party that Joe Biden would need to be like, Okay,

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Speaker 1: this is the break glass in case of an emergency moment.

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Speaker 1: I can I can totally see that being the thing

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Speaker 1: that like they drop a bombshell ruling and then that's

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Speaker 1: when Biden like kind of gets moving on the Supreme

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Speaker 1: Court kind of term limits or you know, expanding the court.

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Speaker 1: But we shall see. Yeah, I mean there's also many

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Speaker 1: states too that have like these trigger laws too, that

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Speaker 1: are saying, like the second the Supreme Court makes a decision, boom,

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Speaker 1: abortions immediately illegal. Yeah, you know, many states are waiting

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Speaker 1: for this. Yeah, there's a few states. Um, I don't

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Speaker 1: on how many, but there's there's a few that have

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Speaker 1: these like trigger laws in place in regards to Row

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Speaker 1: and I think more than anything too, it's going to

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Speaker 1: force us to realize, Okay, we only have each other

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Speaker 1: to help out. And I think that is going to

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Speaker 1: lead to a lot of It's going to take a

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Speaker 1: lot of person like people helping each other because once

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Speaker 1: the states are just shuttering their doors on this, now

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Speaker 1: like we're like these activist groups and charities are going

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Speaker 1: to have to do a lot of the work to

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Speaker 1: be able to give people access to abortions and things

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Speaker 1: like this. So yeah, a lot to come. All right,

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Speaker 1: let's talk about the recount. I mean, we've all been

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Speaker 1: kind of on the edge of our seat. Why when

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Speaker 1: are we gonna finally find out who won that fucking election? Guys?

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Speaker 1: I mean you see the new Ben Garrison cartoon. Oh

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Speaker 1: have wake up every morning. The first thing I check.

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Speaker 1: What is stupid as Ben Garrison cartoon is a it's

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Speaker 1: a the set of dominoes Arizona, Michigan, Wisconsin, New Hampshire, Georgia,

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Speaker 1: and Pennsylvania, with Joe Biden looking scared as the last one,

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Speaker 1: and the Arizona domino is falling first, hopefully triggering the

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Speaker 1: audit as they say, and you have Trump saying, thus

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Speaker 1: Domino Joe. I don't know what that means, but well,

422
00:24:11,680 --> 00:24:15,919
Speaker 1: because Joe in this comic is very literally his body

423
00:24:16,160 --> 00:24:23,960
Speaker 1: is a domino at the end of which is pretty domino. Joe. Yeah,

424
00:24:24,160 --> 00:24:28,040
Speaker 1: like that. Um so in Maricopa County in Arizona, that's

425
00:24:28,040 --> 00:24:30,160
Speaker 1: the scene of the like one of the most absolutely

426
00:24:30,200 --> 00:24:34,400
Speaker 1: nonsensical attempts at overturning the election. Um if you remember,

427
00:24:34,680 --> 00:24:37,040
Speaker 1: this already happened. They did a hand recount. I don't

428
00:24:37,040 --> 00:24:40,000
Speaker 1: know if you remember this, and then like courts were like, yeah,

429
00:24:40,320 --> 00:24:43,400
Speaker 1: these allegations of fraud are like absolutely baseless, like please

430
00:24:43,440 --> 00:24:46,240
Speaker 1: get out of my face, Like it's this election has

431
00:24:46,280 --> 00:24:50,600
Speaker 1: been certified. But since the big lie, the Maga faith

432
00:24:50,680 --> 00:24:52,760
Speaker 1: will have just been very eager to overturn the results.

433
00:24:52,760 --> 00:24:56,720
Speaker 1: So the Republicans in the Arizona Senate subpoenuted the ballots

434
00:24:57,119 --> 00:24:59,400
Speaker 1: and then they handed them over to a group of

435
00:24:59,400 --> 00:25:02,679
Speaker 1: fucking be it conspiracy theorists who are like, yeah, we

436
00:25:02,760 --> 00:25:05,119
Speaker 1: will get to the bottom, we'll find fraud. They're called

437
00:25:05,200 --> 00:25:08,440
Speaker 1: I'm not joking. Their fucking name is the Cyber Ninja's

438
00:25:09,119 --> 00:25:11,120
Speaker 1: and I just want to read a little bit about them.

439
00:25:11,320 --> 00:25:14,200
Speaker 1: The company has no experience in elections and it's CEO

440
00:25:14,320 --> 00:25:17,200
Speaker 1: helped to spread the stop the steel conspiracy theories in

441
00:25:17,240 --> 00:25:19,120
Speaker 1: the run up to the Capitol riot. It is now

442
00:25:19,119 --> 00:25:23,360
Speaker 1: in possession of Maricopa's ballots and voting equipment, so they're

443
00:25:23,359 --> 00:25:25,680
Speaker 1: they're being like, we're going to figure it out. We'll

444
00:25:25,680 --> 00:25:28,399
Speaker 1: get to the bottom of this. Do we have experience, No,

445
00:25:28,800 --> 00:25:32,040
Speaker 1: but we do have experience in baseless conspiracy theories. So

446
00:25:32,600 --> 00:25:36,159
Speaker 1: as you can imagine, because we know what happened and

447
00:25:36,160 --> 00:25:39,560
Speaker 1: there is no fraud, they have found absolutely funk all

448
00:25:39,920 --> 00:25:42,200
Speaker 1: and because it's so poorly run, like they were using

449
00:25:42,240 --> 00:25:45,439
Speaker 1: this like county like convention center to do the audit

450
00:25:45,480 --> 00:25:48,199
Speaker 1: and stuff, they had to pack up their ship and

451
00:25:48,280 --> 00:25:50,879
Speaker 1: pause the operation because it was they were fucking up

452
00:25:50,960 --> 00:25:53,600
Speaker 1: so bad. It was taking way longer than they thought

453
00:25:53,600 --> 00:25:56,600
Speaker 1: it would that it was interfering with the county's high

454
00:25:56,600 --> 00:25:59,520
Speaker 1: school graduations that they helped hold in that building, So

455
00:25:59,560 --> 00:26:01,400
Speaker 1: they're like, you gotta pack this ship up. We got

456
00:26:01,440 --> 00:26:03,560
Speaker 1: some graduations coming in, man, Like, I know this is

457
00:26:03,800 --> 00:26:07,719
Speaker 1: a fun time for you, but we gotta stop. So

458
00:26:07,800 --> 00:26:10,160
Speaker 1: now it's gotten to the point where even the Republicans

459
00:26:10,200 --> 00:26:13,320
Speaker 1: in Arizona are just over it because it's been such

460
00:26:13,359 --> 00:26:16,439
Speaker 1: a clown show that they're like begging them to stop,

461
00:26:16,520 --> 00:26:21,000
Speaker 1: which is kind of odd. So what what is the

462
00:26:21,080 --> 00:26:26,160
Speaker 1: big news that is causing the ben garrison Like why

463
00:26:26,240 --> 00:26:30,479
Speaker 1: why are they so certain that this is a comic

464
00:26:30,760 --> 00:26:32,840
Speaker 1: or is that like I'm pretty sure it's from the

465
00:26:32,920 --> 00:26:36,600
Speaker 1: last few days. It's because he thinks he's because he's

466
00:26:36,640 --> 00:26:38,560
Speaker 1: not in the group that thinks this is stupid or

467
00:26:38,560 --> 00:26:40,840
Speaker 1: a joke. It's that he thinks they have things like

468
00:26:40,880 --> 00:26:44,320
Speaker 1: they were looking for like bamboo fibers to prove like

469
00:26:44,400 --> 00:26:48,200
Speaker 1: things were coming from China and ship and using like

470
00:26:48,600 --> 00:26:51,520
Speaker 1: and using like UV purple lights on ballots and people

471
00:26:51,600 --> 00:26:54,199
Speaker 1: like forensically, what do you are you even doing? And

472
00:26:54,200 --> 00:26:56,920
Speaker 1: they're like, oh, we're checking for stuff. They're like what though,

473
00:26:57,200 --> 00:26:59,960
Speaker 1: Oh you'll you'll find out. It's like, dude, this is

474
00:27:00,119 --> 00:27:04,199
Speaker 1: all just it's all performative. It's all nonsense. So the

475
00:27:04,240 --> 00:27:08,359
Speaker 1: Republicans started, like, you know, asking the Senate President Karen

476
00:27:08,400 --> 00:27:12,600
Speaker 1: fan like to please end this, like you started this ship,

477
00:27:12,760 --> 00:27:15,560
Speaker 1: please end it. And the board of the Board of

478
00:27:15,560 --> 00:27:19,280
Speaker 1: Supervisors in Amricopa County were like really fucking pissed. One

479
00:27:19,920 --> 00:27:22,520
Speaker 1: state Republicans calling the process quote a spectacle that is

480
00:27:22,560 --> 00:27:25,160
Speaker 1: harming all of us. Uh. This is from the Board

481
00:27:25,160 --> 00:27:28,119
Speaker 1: of Supervisors. And mind you, this board of Supervisors is

482
00:27:28,240 --> 00:27:30,840
Speaker 1: for Republicans and the fifth is a Democrat. So this

483
00:27:30,880 --> 00:27:35,680
Speaker 1: is this board of Supervisors Republicans from Arizona. They said

484
00:27:35,720 --> 00:27:37,679
Speaker 1: it's time to make a choice to defend the constitution

485
00:27:37,680 --> 00:27:40,440
Speaker 1: in the republic. We stand together to defend the Constitution

486
00:27:40,480 --> 00:27:42,600
Speaker 1: and the republic in our opposition to the big lie.

487
00:27:42,800 --> 00:27:45,080
Speaker 1: We ask everyone to join us in standing for the truth.

488
00:27:45,400 --> 00:27:48,480
Speaker 1: Our state has become a laughing stock. Worse, this quote

489
00:27:48,520 --> 00:27:52,080
Speaker 1: unquote audit is encouraging our citizens to distrust elections, which

490
00:27:52,119 --> 00:27:55,560
Speaker 1: weakens our democratic republic. You have rented out the once

491
00:27:55,640 --> 00:27:58,439
Speaker 1: good name of the Arizona State Senate to grifters and

492
00:27:58,480 --> 00:28:01,520
Speaker 1: con artists who are fundraised saying hard, hard earned money

493
00:28:01,720 --> 00:28:04,600
Speaker 1: from our fellow citizens. Even as your contractors parade around

494
00:28:04,600 --> 00:28:07,399
Speaker 1: the call of scene. See them hunting for bamboo and

495
00:28:07,480 --> 00:28:11,920
Speaker 1: something they call kinematic artifacts while shining purple lights for effect.

496
00:28:12,320 --> 00:28:14,920
Speaker 1: None of these things are done in a serious audit.

497
00:28:16,680 --> 00:28:23,479
Speaker 1: I'm sorry, curious what kinematic artifacts? Yeah? What? It sounds

498
00:28:23,520 --> 00:28:25,639
Speaker 1: like a good thing, Like you don't want to ask

499
00:28:26,080 --> 00:28:29,680
Speaker 1: to sound stupid, but you're like, what is that something

500
00:28:29,720 --> 00:28:35,359
Speaker 1: to do with actor Joe? Strong refraction of waves in

501
00:28:35,400 --> 00:28:39,640
Speaker 1: the migration velocity model introduces kinematic artifacts coherent events not

502
00:28:39,680 --> 00:28:44,640
Speaker 1: corresponding to actual reflections. Okay, they just wanted to get

503
00:28:44,680 --> 00:28:48,640
Speaker 1: that that UV light on there because that makes them

504
00:28:48,640 --> 00:28:51,000
Speaker 1: feel like they're and they've done this thing where like

505
00:28:51,040 --> 00:28:53,600
Speaker 1: it's so confusing. I've given up trying to understand what

506
00:28:53,600 --> 00:28:57,239
Speaker 1: they're saying. And but it's the bottom line, audit is

507
00:28:57,520 --> 00:29:00,600
Speaker 1: nonsense and what you're doing is nonsense, and it's ran

508
00:29:00,680 --> 00:29:04,280
Speaker 1: by the cyber ninjas. We sound like the fucking bad

509
00:29:04,320 --> 00:29:07,360
Speaker 1: guys from like surf Ninjas or some ship. But other

510
00:29:07,440 --> 00:29:10,240
Speaker 1: than being like kind of kicked out of the building

511
00:29:10,320 --> 00:29:13,880
Speaker 1: because they have because of the high school graduations and

512
00:29:14,760 --> 00:29:18,600
Speaker 1: being like shouted down by their own party, Like is

513
00:29:18,640 --> 00:29:21,840
Speaker 1: there is this progressing in some way? Like what is

514
00:29:21,920 --> 00:29:27,080
Speaker 1: giving the people who are on the side of these

515
00:29:27,120 --> 00:29:30,360
Speaker 1: people like hope and nothing? I mean like their response

516
00:29:30,480 --> 00:29:32,560
Speaker 1: to them, it's just to that is being like, oh,

517
00:29:32,640 --> 00:29:35,320
Speaker 1: here they go. They're afraid of what we might find,

518
00:29:36,080 --> 00:29:38,560
Speaker 1: like that you haven't found anything and you're not going

519
00:29:38,600 --> 00:29:42,120
Speaker 1: to because a you're looking for something that isn't there

520
00:29:42,720 --> 00:29:46,000
Speaker 1: and be you're not even trained to even understand what

521
00:29:46,080 --> 00:29:49,320
Speaker 1: you're looking at. Aside from just like this very narrow

522
00:29:49,560 --> 00:29:53,680
Speaker 1: motivation to be like we're gonna find Chinese bamboo fibers

523
00:29:53,720 --> 00:29:56,680
Speaker 1: on these ballots or some ship. But it's working. They're

524
00:29:56,720 --> 00:30:00,160
Speaker 1: they're making money. Yeah, absolutely, And I think it's only

525
00:30:00,520 --> 00:30:04,200
Speaker 1: it's another indication. I think this like sort of strongly

526
00:30:04,240 --> 00:30:08,160
Speaker 1: worded attempt at stopping it from the Republicans from the

527
00:30:08,200 --> 00:30:12,880
Speaker 1: Board of Supervisors, that how deeply fractured, Like just like

528
00:30:13,160 --> 00:30:15,880
Speaker 1: the Republican Party is now like where some people are like,

529
00:30:15,960 --> 00:30:17,520
Speaker 1: I think we can get a home, They're like, Nope,

530
00:30:17,560 --> 00:30:20,760
Speaker 1: there goes the party off, it goes with the cyber ninjas.

531
00:30:22,360 --> 00:30:25,200
Speaker 1: By the way, Ben Garrison great example of like the

532
00:30:25,240 --> 00:30:30,360
Speaker 1: lower standards of anybody, like for culture that is created

533
00:30:30,400 --> 00:30:32,760
Speaker 1: by anybody who's on the side of this, because they

534
00:30:32,840 --> 00:30:35,440
Speaker 1: just like will take what they can get. The shadow

535
00:30:35,480 --> 00:30:39,520
Speaker 1: work on the on this like when you look at

536
00:30:39,680 --> 00:30:43,240
Speaker 1: so the the idea is that these dominoes are supposed

537
00:30:43,280 --> 00:30:47,240
Speaker 1: to spell out the word audit in shadows, but that

538
00:30:47,560 --> 00:30:51,440
Speaker 1: he has made literally no attempt to make it seem

539
00:30:51,480 --> 00:30:56,280
Speaker 1: like that is even conceivably possible that would have took

540
00:30:56,320 --> 00:31:00,000
Speaker 1: too much time. He just he just wrote audit books.

541
00:31:00,040 --> 00:31:03,200
Speaker 1: Good though Trump always looks good. Yeah, it looks like

542
00:31:03,280 --> 00:31:08,920
Speaker 1: Richie rich he's his U. His suit is like kind

543
00:31:08,920 --> 00:31:13,200
Speaker 1: of straining at the like kind of groin region, which

544
00:31:13,280 --> 00:31:19,720
Speaker 1: I'm assuming is not by accident. Like he's okah of

545
00:31:19,920 --> 00:31:22,600
Speaker 1: what's on the US? What do you see there? Tell

546
00:31:22,680 --> 00:31:28,120
Speaker 1: us more about what do you see there? All right,

547
00:31:28,280 --> 00:31:32,320
Speaker 1: let's talk about the insurrectionists. There's a bipartisan effort to

548
00:31:32,360 --> 00:31:36,560
Speaker 1: look at the January six attack, and it's running into

549
00:31:36,560 --> 00:31:40,360
Speaker 1: opposition from GOP leadership. Basically, who would have thought? Who

550
00:31:40,360 --> 00:31:44,040
Speaker 1: would have thought? Minority leader Kevin McCarthy specifically is out

551
00:31:44,040 --> 00:31:47,200
Speaker 1: here being like, oh, it's it's too shortsighted, and it

552
00:31:47,200 --> 00:31:49,960
Speaker 1: it doesn't look at all of the political violence that

553
00:31:50,000 --> 00:31:53,080
Speaker 1: has occurred in the United States. In other words, they

554
00:31:53,080 --> 00:31:56,000
Speaker 1: don't want an investigation into an event that perhaps some

555
00:31:56,080 --> 00:31:58,600
Speaker 1: of their own members had a hand in. If you remember,

556
00:31:58,840 --> 00:32:01,920
Speaker 1: Kevin McCarthy was on the phone with Donald Trump when

557
00:32:01,920 --> 00:32:05,440
Speaker 1: the attack was happening. So I have a feeling, yeah,

558
00:32:05,560 --> 00:32:08,360
Speaker 1: that guy doesn't want to have to sit in front

559
00:32:08,400 --> 00:32:11,320
Speaker 1: of anything and explain anything to anyone about what was

560
00:32:11,360 --> 00:32:13,960
Speaker 1: said or not said. But he now saying, quote, the

561
00:32:14,040 --> 00:32:17,280
Speaker 1: renewed focus by Democrats to now stand up an additional

562
00:32:18,040 --> 00:32:21,720
Speaker 1: commission ignores the political violence that has struck American cities.

563
00:32:22,000 --> 00:32:26,600
Speaker 1: That's talking about the BLM protests, a Republican congressional baseball practice,

564
00:32:26,680 --> 00:32:29,800
Speaker 1: that was the Steve Scalise thing from and most recently

565
00:32:29,800 --> 00:32:33,000
Speaker 1: the deadly attack on Capitol police in April where that

566
00:32:33,040 --> 00:32:36,880
Speaker 1: guy ran into some of the officers near the Capitol. Now,

567
00:32:37,640 --> 00:32:41,719
Speaker 1: those are not comparable events, and I understand and that

568
00:32:41,800 --> 00:32:45,440
Speaker 1: those we those have been investigated and people understand what

569
00:32:45,520 --> 00:32:47,760
Speaker 1: happened there. This, on the other hand, has a lot

570
00:32:47,800 --> 00:32:52,880
Speaker 1: of moving parts where there's law enforcement, military involvement, even politicians,

571
00:32:52,920 --> 00:32:55,280
Speaker 1: where there's a lot of question marks to like what

572
00:32:55,520 --> 00:32:59,280
Speaker 1: exactly happened and so, and now I think their whole

573
00:32:59,320 --> 00:33:01,400
Speaker 1: thing is they just want to go way back, broaden

574
00:33:01,440 --> 00:33:03,000
Speaker 1: it to the point to be able to raise their

575
00:33:03,000 --> 00:33:06,560
Speaker 1: talking points. Like other proposals from the Republicans are, we

576
00:33:06,640 --> 00:33:09,640
Speaker 1: can we talk about Antifa. We gotta put Antifa in there,

577
00:33:09,880 --> 00:33:12,040
Speaker 1: and we got to put the BLM protests in there

578
00:33:12,440 --> 00:33:14,840
Speaker 1: as well, just to I think create this sort of

579
00:33:15,000 --> 00:33:19,160
Speaker 1: mass spectacle of like, look, everyone's everyone's doing it. Folks,

580
00:33:19,200 --> 00:33:23,720
Speaker 1: So how can we really, you know, consider ourselves safe. So, yes,

581
00:33:24,040 --> 00:33:26,800
Speaker 1: that's that's the current state of this effort to figure

582
00:33:26,800 --> 00:33:31,760
Speaker 1: out what happened. Yeah, and I mean Antifa was involved

583
00:33:31,800 --> 00:33:34,240
Speaker 1: in the in the stormy of the capital, if if

584
00:33:34,280 --> 00:33:39,120
Speaker 1: my sources are are correct, if your favorite parlor, yeah,

585
00:33:39,360 --> 00:33:41,920
Speaker 1: your favorite parlor count to be believed. And he had

586
00:33:41,800 --> 00:33:45,440
Speaker 1: a problem with this effort is John Katco, who is

587
00:33:45,480 --> 00:33:48,640
Speaker 1: the ranking member on the Homeland Security Committee, who's the

588
00:33:48,680 --> 00:33:52,680
Speaker 1: Republican giving it this bipartisan support. He voted to impeach Trump.

589
00:33:53,040 --> 00:33:57,479
Speaker 1: So that's already that's already I think a bad sign

590
00:33:57,640 --> 00:34:00,000
Speaker 1: for how much Republican support it's going to get, because

591
00:34:00,080 --> 00:34:02,640
Speaker 1: this guy was being like, no, no, I don't know,

592
00:34:02,760 --> 00:34:04,880
Speaker 1: I'm voting to impeache I don't know what everyone else

593
00:34:04,960 --> 00:34:08,239
Speaker 1: is talking about. So that's already raising question marks. On

594
00:34:08,320 --> 00:34:10,680
Speaker 1: top of the fact that once it gets out of

595
00:34:10,680 --> 00:34:13,000
Speaker 1: the House, it has to go to the Senate and

596
00:34:13,040 --> 00:34:15,560
Speaker 1: then we'll see what kind of will there is to

597
00:34:15,800 --> 00:34:19,839
Speaker 1: either completely water it down, you know, amend it. So

598
00:34:19,920 --> 00:34:23,000
Speaker 1: it really is like about just whatever they wanted, whatever

599
00:34:23,040 --> 00:34:25,680
Speaker 1: else they needed to be about. But I think such

600
00:34:25,680 --> 00:34:30,359
Speaker 1: as the the all too familiar theme recently. Right, all right,

601
00:34:30,480 --> 00:34:32,799
Speaker 1: let's take one more break and we'll come back and

602
00:34:32,840 --> 00:34:47,480
Speaker 1: talk about some bullshit. And we're back and all right,

603
00:34:47,560 --> 00:34:49,439
Speaker 1: let's check it with Joe Rogan. That's been a couple

604
00:34:49,480 --> 00:34:52,640
Speaker 1: of days, and we we have a quote from one

605
00:34:52,719 --> 00:34:56,080
Speaker 1: of the latest episodes of this podcast. Yeah, I just

606
00:34:56,200 --> 00:34:59,600
Speaker 1: you know, he's it's a warning to all straight white

607
00:34:59,600 --> 00:35:02,319
Speaker 1: men of the world. Uh, he says. He was talking

608
00:35:02,360 --> 00:35:03,919
Speaker 1: to his guests. He said, can you make a good

609
00:35:03,960 --> 00:35:06,960
Speaker 1: comedy movie anymore? Or have they made it so dangerous

610
00:35:07,000 --> 00:35:09,440
Speaker 1: in terms of being canceled that comedy movies are no

611
00:35:09,520 --> 00:35:12,359
Speaker 1: longer something you can do. You can never be woken enough.

612
00:35:12,480 --> 00:35:15,360
Speaker 1: That's the problem. It keeps going, It keeps going further

613
00:35:15,400 --> 00:35:17,239
Speaker 1: and further and further down the line. If you get

614
00:35:17,280 --> 00:35:19,719
Speaker 1: to the point where you capitulate, where you agreed all

615
00:35:19,760 --> 00:35:23,000
Speaker 1: these demands, it will eventually get to straight white men

616
00:35:23,120 --> 00:35:25,920
Speaker 1: are not allowed to talk because it's your privilege to

617
00:35:25,960 --> 00:35:29,200
Speaker 1: express yourself when other people of color have been silenced

618
00:35:29,239 --> 00:35:33,400
Speaker 1: throughout history. M hm, he says. It will become you know,

619
00:35:33,440 --> 00:35:36,160
Speaker 1: you're not allowed to go outside because so many people

620
00:35:36,200 --> 00:35:39,319
Speaker 1: were imprisoned for so man in anyway, it's it's it

621
00:35:39,360 --> 00:35:46,520
Speaker 1: goes in that direction. I mean, that's good, he gets yeah.

622
00:35:46,560 --> 00:35:49,520
Speaker 1: I mean I think he seems to be conflating the

623
00:35:49,640 --> 00:35:53,600
Speaker 1: demographic of you know, straight cys gendered white men with

624
00:35:53,719 --> 00:35:57,520
Speaker 1: the larger idea of like hegemonic masculinity and white supremacy,

625
00:35:57,880 --> 00:36:00,440
Speaker 1: and then you know, turning that into this sort of

626
00:36:00,560 --> 00:36:03,560
Speaker 1: narrative of like victimhood, which most you know, whether it's

627
00:36:03,600 --> 00:36:06,640
Speaker 1: white supremacy or misogynists, like you need that to be

628
00:36:06,719 --> 00:36:10,320
Speaker 1: able to explain why you are transgressing in the other direction,

629
00:36:10,360 --> 00:36:13,080
Speaker 1: because it's, oh well, I mean look at us, like,

630
00:36:13,320 --> 00:36:14,879
Speaker 1: you know, like we're it's it's we're in the middle

631
00:36:14,920 --> 00:36:17,279
Speaker 1: of a fight. So if I'm getting canceled, like this

632
00:36:17,360 --> 00:36:19,120
Speaker 1: is what's going on, these are the stakes for me,

633
00:36:19,360 --> 00:36:22,200
Speaker 1: is I'm being wiped out by not talking. I mean,

634
00:36:22,280 --> 00:36:26,120
Speaker 1: Joe Rogan is one of the most popular podcasters on Earth,

635
00:36:26,640 --> 00:36:29,000
Speaker 1: I don't know where, Like, you know, he's not really

636
00:36:29,280 --> 00:36:32,799
Speaker 1: canceled wible in that sense, Like, but think about it

637
00:36:32,840 --> 00:36:35,000
Speaker 1: this way. I agree with everything you're saying, by the way,

638
00:36:35,080 --> 00:36:36,760
Speaker 1: but I've seen a lot of people go after Rogan

639
00:36:36,840 --> 00:36:39,320
Speaker 1: for saying that. Saying as he says into a microphone,

640
00:36:39,360 --> 00:36:41,440
Speaker 1: as if he's not I agree with he's not cancelable,

641
00:36:41,520 --> 00:36:43,560
Speaker 1: but he is speaking for people. The people who are

642
00:36:43,560 --> 00:36:47,799
Speaker 1: listening to him don't have microphones and they feel that way, right.

643
00:36:47,840 --> 00:36:51,200
Speaker 1: That's and that's the victimhood ideals, the same thing espoused

644
00:36:51,200 --> 00:36:54,000
Speaker 1: by you know, white supremacists in Charlottesville are saying we're

645
00:36:54,000 --> 00:36:57,040
Speaker 1: not going to get replaced or whatever. It's that same

646
00:36:57,200 --> 00:36:59,319
Speaker 1: energy that you need to be able to keep that

647
00:36:59,360 --> 00:37:02,200
Speaker 1: movement going. And that's what makes it a force that's

648
00:37:02,239 --> 00:37:05,080
Speaker 1: really hard to reckon with because people are like, yes,

649
00:37:05,440 --> 00:37:09,680
Speaker 1: I need this sort of rationalization to stay steadfast here

650
00:37:09,719 --> 00:37:13,040
Speaker 1: where I am at um. But yeah, it's a it's

651
00:37:13,120 --> 00:37:15,160
Speaker 1: a I think there is something to say though, Like

652
00:37:15,200 --> 00:37:18,640
Speaker 1: in general, when you have people looking at like, you know,

653
00:37:18,800 --> 00:37:21,120
Speaker 1: on on some level, people are not as interested in

654
00:37:21,120 --> 00:37:23,600
Speaker 1: this term of like canceling someone is just sort of

655
00:37:23,640 --> 00:37:26,160
Speaker 1: like a solution to something when most people are like,

656
00:37:26,280 --> 00:37:29,440
Speaker 1: we need to drive our society forward and we need

657
00:37:29,480 --> 00:37:32,919
Speaker 1: to evolve, and part of that is about being able

658
00:37:32,960 --> 00:37:36,480
Speaker 1: to demonstrate that there are opportunities to grow. And I

659
00:37:36,480 --> 00:37:38,360
Speaker 1: think for people who are so obsessed, like in the

660
00:37:38,480 --> 00:37:41,040
Speaker 1: Joe Rogan camp, it's just a very to zero sum

661
00:37:41,120 --> 00:37:43,879
Speaker 1: game because some people are making it a zero sum game,

662
00:37:44,080 --> 00:37:47,600
Speaker 1: which is like you're canceled. That's it, goodbye, off to

663
00:37:47,640 --> 00:37:51,600
Speaker 1: the desert landscape and and just enjoy your time there

664
00:37:51,600 --> 00:37:54,600
Speaker 1: where On some level, people need to be shown that

665
00:37:55,040 --> 00:37:58,160
Speaker 1: you can funk up, be shitty and find a way

666
00:37:58,200 --> 00:38:02,080
Speaker 1: to grow past that. It's to be completely it's it's

667
00:38:02,120 --> 00:38:04,200
Speaker 1: not a it's not a proposition. People aren't going to

668
00:38:04,239 --> 00:38:06,839
Speaker 1: be interested in. And I think even like you know,

669
00:38:07,600 --> 00:38:09,480
Speaker 1: might like when I talk about my own growth or

670
00:38:09,560 --> 00:38:12,720
Speaker 1: anyone's growth over time, there were times when I felt

671
00:38:12,760 --> 00:38:14,839
Speaker 1: like a Joe Rogan type person was like, man, well,

672
00:38:14,840 --> 00:38:16,960
Speaker 1: look what the fund you can do? What's what's the problem.

673
00:38:17,239 --> 00:38:19,239
Speaker 1: And then it takes a second few to realize, like, well,

674
00:38:19,440 --> 00:38:21,600
Speaker 1: these things can change. And I also need to be

675
00:38:21,640 --> 00:38:25,040
Speaker 1: open enough with myself to understand it's hard to do that. Yeah,

676
00:38:25,040 --> 00:38:28,000
Speaker 1: it's me. You gotta like calm down for a second

677
00:38:28,200 --> 00:38:30,640
Speaker 1: and just like think about it. And it's I also

678
00:38:30,680 --> 00:38:32,360
Speaker 1: think it's funny that he's coming out of it's it

679
00:38:32,440 --> 00:38:33,719
Speaker 1: is funny that he's coming out of from the place

680
00:38:33,719 --> 00:38:36,799
Speaker 1: so there are no good comedies anymore. Hey, it's it's

681
00:38:37,200 --> 00:38:40,160
Speaker 1: it's it's not untrue. I will say it's hard. It's

682
00:38:40,200 --> 00:38:42,279
Speaker 1: hard to find good comedy films these days. But that

683
00:38:42,280 --> 00:38:44,520
Speaker 1: had says more about the film film industry than it

684
00:38:44,560 --> 00:38:49,759
Speaker 1: does about comedy. But it also says something. It's just generationally. Generationally,

685
00:38:50,000 --> 00:38:52,080
Speaker 1: it is a story as oh, this comedy itself, that

686
00:38:52,160 --> 00:38:55,600
Speaker 1: comics always feel like they're getting put out to pasture

687
00:38:55,640 --> 00:38:58,920
Speaker 1: because comedy evolves, Like I've been involved in things that

688
00:38:58,920 --> 00:39:02,280
Speaker 1: were made twenty years ago and like it's not funny anymore.

689
00:39:02,320 --> 00:39:04,319
Speaker 1: And it's not because you need to get canceled. It's

690
00:39:04,320 --> 00:39:06,799
Speaker 1: just not funny anymore. Yeah, we've moved on, we've all

691
00:39:07,640 --> 00:39:09,799
Speaker 1: which is an interesting vibe to feel that, like the

692
00:39:09,800 --> 00:39:12,239
Speaker 1: thing that you've been it must be you know, fuck them.

693
00:39:12,239 --> 00:39:14,440
Speaker 1: I don't care, but like it's his problem, but it is.

694
00:39:14,600 --> 00:39:17,839
Speaker 1: I do get that feeling. He's feeling something. I just

695
00:39:17,880 --> 00:39:20,400
Speaker 1: don't think it's it's the fear of getting canceled. I

696
00:39:20,400 --> 00:39:23,960
Speaker 1: think it's just being irrelevant in some way, right, or like,

697
00:39:24,000 --> 00:39:26,120
Speaker 1: how do you keep up when you're used to just

698
00:39:26,200 --> 00:39:30,040
Speaker 1: making really superficial jokes about people's like masculinity or what

699
00:39:30,200 --> 00:39:33,160
Speaker 1: straightness or whatever, and then like you keep coming back

700
00:39:33,200 --> 00:39:36,759
Speaker 1: to the same old jokes those jokes, right, now years

701
00:39:36,800 --> 00:39:39,239
Speaker 1: they're sort of stupid, and I'm not going to do

702
00:39:39,320 --> 00:39:41,000
Speaker 1: the work to try and like be more and more

703
00:39:41,040 --> 00:39:44,319
Speaker 1: introspective again and find some new analysis and observation I

704
00:39:44,360 --> 00:39:46,480
Speaker 1: can take to the stage to make people laugh. I

705
00:39:46,560 --> 00:39:49,680
Speaker 1: like my old shitty jokes. I will say this. I

706
00:39:49,680 --> 00:39:52,400
Speaker 1: would appreciate it if Joe Rogan could say there are

707
00:39:52,400 --> 00:39:54,319
Speaker 1: no good comedies right now, and then instead of going

708
00:39:54,320 --> 00:39:58,080
Speaker 1: into fucking three paragraphs about about wokeness, tell me something

709
00:39:58,120 --> 00:40:01,000
Speaker 1: funny about wokeness. Like the thing about calm is that

710
00:40:01,080 --> 00:40:03,400
Speaker 1: you can you can you can look at what's around

711
00:40:03,400 --> 00:40:07,279
Speaker 1: you and and makes intelligent jokes that helps you laugh

712
00:40:07,320 --> 00:40:10,200
Speaker 1: at yourself. Like there's ways to sort of react to

713
00:40:10,320 --> 00:40:13,600
Speaker 1: what he says he sees and and not alienate people

714
00:40:13,640 --> 00:40:16,000
Speaker 1: and not complain and stop your feet make a joke

715
00:40:16,000 --> 00:40:17,960
Speaker 1: about it, Like you don't have a joke about that,

716
00:40:18,080 --> 00:40:19,719
Speaker 1: then you don't have a joke about anything that's going

717
00:40:19,719 --> 00:40:22,799
Speaker 1: on now, right A fair point, yeah, because I think

718
00:40:22,800 --> 00:40:24,480
Speaker 1: at the end of the day, like he has to

719
00:40:24,520 --> 00:40:27,920
Speaker 1: put this sort of movement of like sort of diametrically

720
00:40:27,920 --> 00:40:31,279
Speaker 1: opposed to him and that sort of philosophy of comedians

721
00:40:31,320 --> 00:40:33,280
Speaker 1: to be like and this is and these are the stakes,

722
00:40:33,680 --> 00:40:36,600
Speaker 1: and then we that way we can stay fixed and

723
00:40:36,680 --> 00:40:39,839
Speaker 1: fight from here. Yeah, all right, let's talk about this

724
00:40:40,160 --> 00:40:46,000
Speaker 1: Daily Beast article about why we hate the sounds of

725
00:40:46,040 --> 00:40:49,000
Speaker 1: our own voices. From full disclosure, I'll say I don't

726
00:40:49,000 --> 00:40:51,120
Speaker 1: hate the sound of my own voice. I know it

727
00:40:51,239 --> 00:40:53,920
Speaker 1: was suggested. However, I will say I did have a

728
00:40:54,000 --> 00:40:57,080
Speaker 1: reaction to the first time I ever heard my own record. Yeah,

729
00:40:57,160 --> 00:41:00,080
Speaker 1: it's definitely something you need to get used to. We

730
00:41:00,080 --> 00:41:04,239
Speaker 1: we spend hours a day hearing ourselves back, hearing our

731
00:41:04,280 --> 00:41:07,279
Speaker 1: own voices back into our headphones, and it's a It

732
00:41:07,320 --> 00:41:09,839
Speaker 1: starts out as a very horrifying experience. I think a

733
00:41:09,880 --> 00:41:14,480
Speaker 1: lot of the sweating and uncomfortable nous I did in

734
00:41:14,520 --> 00:41:17,760
Speaker 1: the first year this podcast was just my brain trying

735
00:41:17,760 --> 00:41:20,680
Speaker 1: to make sense of the fact that it was it

736
00:41:20,840 --> 00:41:25,400
Speaker 1: was having to hear its own hear my own voice back. Yeah,

737
00:41:25,440 --> 00:41:29,840
Speaker 1: there was. There's this assistant professor of autoaryngeology at the

738
00:41:30,040 --> 00:41:35,000
Speaker 1: University of Washington who like deals with people's voices and

739
00:41:35,000 --> 00:41:38,040
Speaker 1: like surgeries and with your like vocal cords and things

740
00:41:38,080 --> 00:41:40,160
Speaker 1: like that, and he talks about just sort of when

741
00:41:40,200 --> 00:41:42,360
Speaker 1: he hears people talk about their own voice and that

742
00:41:42,440 --> 00:41:45,200
Speaker 1: they want to address it. He has, you know, there's

743
00:41:45,360 --> 00:41:47,040
Speaker 1: been a lot of studies about this, but he brings

744
00:41:47,120 --> 00:41:49,680
Speaker 1: up the fact that this whole phenomenous idea of like

745
00:41:49,719 --> 00:41:53,040
Speaker 1: people not standing their voices is just part physiology, part

746
00:41:53,080 --> 00:41:57,040
Speaker 1: psychology obviously. So like when we're hearing our voices over

747
00:41:57,120 --> 00:42:00,800
Speaker 1: that through our headphones on speakers, it's traveling through the

748
00:42:01,040 --> 00:42:04,200
Speaker 1: sound waves traveled through the air into our into our skulls,

749
00:42:04,560 --> 00:42:06,920
Speaker 1: and it gets to our small earbones and it's like

750
00:42:06,960 --> 00:42:10,399
Speaker 1: a lighter sound versus when what we're used to, which

751
00:42:10,440 --> 00:42:13,640
Speaker 1: is the I'm hearing it straight out of my skull tone,

752
00:42:14,120 --> 00:42:17,040
Speaker 1: which is a little bit smoother, a little bit basier.

753
00:42:17,520 --> 00:42:19,799
Speaker 1: And so when we hear the two next to each other,

754
00:42:19,920 --> 00:42:23,280
Speaker 1: it's just jarring because we're so tied to this voice

755
00:42:23,320 --> 00:42:25,960
Speaker 1: that resonates in our skulls that it's like looking in

756
00:42:26,040 --> 00:42:28,600
Speaker 1: a fun house mirror of yourself and you're like, is

757
00:42:28,680 --> 00:42:34,279
Speaker 1: this me? I mean, like it's specifically with a fun

758
00:42:34,360 --> 00:42:38,520
Speaker 1: house mirror metaphor, like they've found the same but for

759
00:42:38,640 --> 00:42:44,440
Speaker 1: perception of our bodies and reflections, like they put people's

760
00:42:44,480 --> 00:42:48,319
Speaker 1: like showed people pictures of essentially what their body looked like,

761
00:42:48,440 --> 00:42:50,480
Speaker 1: but made it so that they couldn't really tell that

762
00:42:50,560 --> 00:42:54,239
Speaker 1: it was their body, and when it wasn't their own,

763
00:42:54,520 --> 00:42:58,360
Speaker 1: they rated it as like much more attractive and like

764
00:42:58,480 --> 00:43:03,799
Speaker 1: in better healthier then when they were able to recognize

765
00:43:03,800 --> 00:43:09,000
Speaker 1: it as their own, Like yeah, yeah, I would love

766
00:43:09,040 --> 00:43:14,960
Speaker 1: for somebody to do that to me. And like even

767
00:43:15,000 --> 00:43:17,040
Speaker 1: with the voices, they did the same thing. They had

768
00:43:17,120 --> 00:43:20,960
Speaker 1: people like listen to their recorded voices and and rate

769
00:43:21,040 --> 00:43:23,160
Speaker 1: their you know, how nice they thought their voice was.

770
00:43:23,200 --> 00:43:25,800
Speaker 1: And then they had just clinicians also just listen to

771
00:43:25,880 --> 00:43:28,640
Speaker 1: these audio clips and just rate the voices, and you know,

772
00:43:28,719 --> 00:43:31,399
Speaker 1: across the board, it was just clear people were so

773
00:43:31,560 --> 00:43:33,960
Speaker 1: negative about their own voices, and the clinicians that were

774
00:43:34,000 --> 00:43:36,839
Speaker 1: like really positive. You're like, no, nothing's yeah, okay, great,

775
00:43:36,920 --> 00:43:40,239
Speaker 1: great great. So it really is like this, it's not that,

776
00:43:40,280 --> 00:43:42,799
Speaker 1: like you say, for people who hate their own voice,

777
00:43:42,800 --> 00:43:45,480
Speaker 1: not that you sound like a total ship head and

778
00:43:45,520 --> 00:43:47,600
Speaker 1: you want to go full van go on yourself because

779
00:43:47,600 --> 00:43:49,640
Speaker 1: you don't like what you're hearing. It's just that we

780
00:43:50,160 --> 00:43:52,680
Speaker 1: have this, you know, I think, propensity to be very

781
00:43:52,719 --> 00:43:56,280
Speaker 1: self critical and then these sort of moments offer those

782
00:43:56,360 --> 00:43:58,759
Speaker 1: like you know, opportunities to just be like what the

783
00:43:58,960 --> 00:44:02,719
Speaker 1: fun that's me no, but I'm this thing. Have you

784
00:44:02,800 --> 00:44:05,000
Speaker 1: learned to like your voice or or or do you

785
00:44:05,040 --> 00:44:08,839
Speaker 1: just learn to not care? I don't know if I

786
00:44:08,840 --> 00:44:11,600
Speaker 1: definitely don't dislike my voice. I'll say, like, the first

787
00:44:11,640 --> 00:44:13,960
Speaker 1: time I ever heard it, I think it was the

788
00:44:13,960 --> 00:44:15,680
Speaker 1: first time when I was when I was a kid

789
00:44:15,760 --> 00:44:17,800
Speaker 1: and I was making a home movie with a friend

790
00:44:18,320 --> 00:44:20,400
Speaker 1: and then we played it back and I was like,

791
00:44:20,440 --> 00:44:22,920
Speaker 1: what the funk that sound like this? Like? And I

792
00:44:23,000 --> 00:44:26,319
Speaker 1: was like eleven, you know, and that was just enough

793
00:44:26,360 --> 00:44:28,799
Speaker 1: to like whatever. And then my voice got deeper, and

794
00:44:28,800 --> 00:44:31,759
Speaker 1: I remember high school the same thing happened again, and

795
00:44:31,920 --> 00:44:34,760
Speaker 1: it I was a little more secure in my voice.

796
00:44:35,200 --> 00:44:37,479
Speaker 1: But then as time goes on and I think doing

797
00:44:37,520 --> 00:44:40,120
Speaker 1: podcasting more and things like that, I'm like, oh yeah,

798
00:44:40,320 --> 00:44:44,000
Speaker 1: I like what I'm hearing in my headphones. Again, Dan,

799
00:44:44,120 --> 00:44:48,080
Speaker 1: I know you you've hosted many many podcasts. Have you

800
00:44:48,120 --> 00:44:51,800
Speaker 1: ever been through the hell of trying to edit them yourself?

801
00:44:52,880 --> 00:44:56,160
Speaker 1: I have? In the very beginning I was editing something.

802
00:44:56,280 --> 00:44:59,000
Speaker 1: I was at the very beginning too, and I was

803
00:44:59,080 --> 00:45:03,600
Speaker 1: so brutal. I'm myself is that like it was so like,

804
00:45:03,680 --> 00:45:06,080
Speaker 1: cut this whole section. I sound like an idiot? Like

805
00:45:06,360 --> 00:45:09,080
Speaker 1: it was so bad. It's funny. I think I started

806
00:45:09,080 --> 00:45:11,200
Speaker 1: when I was a little more I think I just

807
00:45:11,239 --> 00:45:13,200
Speaker 1: had It wasn't about having competed with my voice. I

808
00:45:13,200 --> 00:45:15,640
Speaker 1: just had a little more confidence period, and so like

809
00:45:16,080 --> 00:45:18,839
Speaker 1: it was like the lie, Like there's so many things

810
00:45:18,880 --> 00:45:21,000
Speaker 1: I could do next, something better. Changing my voice is

811
00:45:21,040 --> 00:45:24,359
Speaker 1: not one of them, right, right, So I just kind

812
00:45:24,360 --> 00:45:26,839
Speaker 1: of like ignore it, not ignore it, but just like

813
00:45:26,920 --> 00:45:29,920
Speaker 1: their ways just to sound less annoying. It's hard to

814
00:45:29,960 --> 00:45:31,839
Speaker 1: sound better. It's hard to sound like the it's hard

815
00:45:31,880 --> 00:45:34,399
Speaker 1: for the tone of your voice to sound better, right right, Yeah,

816
00:45:34,760 --> 00:45:36,640
Speaker 1: I just auto tuned to the whole thing, so it

817
00:45:36,640 --> 00:45:39,919
Speaker 1: sounded like I was singing beautifully. Yeah, it's like, yeah,

818
00:45:39,960 --> 00:45:43,040
Speaker 1: co host t Pain is here, thanks for joining us.

819
00:45:43,719 --> 00:45:49,920
Speaker 1: This weirdly is I think a good advertisement for therapy

820
00:45:50,239 --> 00:45:55,880
Speaker 1: because I just think in basically every uh, every aspect

821
00:45:56,200 --> 00:46:01,000
Speaker 1: of self perception, we are absolutely the worst a judging ourselves.

822
00:46:01,000 --> 00:46:04,680
Speaker 1: Like there's just that lens or fun house mirror, whatever

823
00:46:04,760 --> 00:46:07,680
Speaker 1: you wanna call it. You know that we are the

824
00:46:07,719 --> 00:46:11,440
Speaker 1: most important people in our world, and like there's just

825
00:46:11,560 --> 00:46:17,359
Speaker 1: a lot of memories and values tied up in how

826
00:46:17,400 --> 00:46:20,600
Speaker 1: we perceive ourselves. Like whether it be in the mirror

827
00:46:20,719 --> 00:46:25,840
Speaker 1: or our voice or what what our what our problem

828
00:46:25,920 --> 00:46:29,399
Speaker 1: is on a daily daily basis. Yeah, we're ore, We're

829
00:46:29,440 --> 00:46:32,799
Speaker 1: our greatest critics. And yeah, I think part of like

830
00:46:33,239 --> 00:46:36,160
Speaker 1: part of even just being in therapies like realizing to like, yeah,

831
00:46:36,200 --> 00:46:38,160
Speaker 1: you don't got to listen to that critical voice all

832
00:46:38,160 --> 00:46:40,640
Speaker 1: the time. That's not actually useful, just so you know,

833
00:46:40,920 --> 00:46:42,239
Speaker 1: Like I don't know, I've I've lived in it with

834
00:46:42,280 --> 00:46:44,120
Speaker 1: it for so long and it's it's kind of hard.

835
00:46:44,160 --> 00:46:46,160
Speaker 1: It's kind of like my rotten tomatoes that I love

836
00:46:46,200 --> 00:46:48,760
Speaker 1: to check on all the time and I'm always rated

837
00:46:48,880 --> 00:46:53,440
Speaker 1: hot shit on it. So uh yeah, but I think, yeah,

838
00:46:53,040 --> 00:46:55,279
Speaker 1: it's I think to your point, Dan, when you're asking, like,

839
00:46:55,400 --> 00:46:57,720
Speaker 1: is it that I don't care? I think, over time

840
00:46:57,719 --> 00:47:00,560
Speaker 1: it does become that I don't care because it becomes

841
00:47:00,640 --> 00:47:03,960
Speaker 1: less important in my evaluation of who I am or

842
00:47:04,040 --> 00:47:06,160
Speaker 1: what I am to other people. It's more about like

843
00:47:06,360 --> 00:47:11,280
Speaker 1: what my internal lived experiences rather than how I'm valuing

844
00:47:11,280 --> 00:47:16,160
Speaker 1: that or adjudicating that against external opinions or factors. All right, Uh,

845
00:47:16,320 --> 00:47:21,920
Speaker 1: let's talk really briefly about Ariana Grande. Uh. She is

846
00:47:22,480 --> 00:47:25,520
Speaker 1: no longer just getting engaged to people. She's now married

847
00:47:25,760 --> 00:47:30,600
Speaker 1: to somebody, and it's somebody that named Dalton Gomez, who

848
00:47:30,760 --> 00:47:33,960
Speaker 1: looks like he looks like Pete. He does look a

849
00:47:33,960 --> 00:47:38,839
Speaker 1: little like Pete. I mean he's just a young, good

850
00:47:38,880 --> 00:47:44,520
Speaker 1: looking twenty two I think year old, like little younger, okay,

851
00:47:44,800 --> 00:47:47,520
Speaker 1: looks like an infant. Doesn't he look like a child,

852
00:47:47,800 --> 00:47:50,160
Speaker 1: like a little made like a little we man. I

853
00:47:50,160 --> 00:47:53,080
Speaker 1: don't know. This is after years of her having tragic

854
00:47:53,160 --> 00:47:59,120
Speaker 1: to bad luck with relationships with famous people, she quarantined

855
00:47:59,160 --> 00:48:03,560
Speaker 1: down with a young, not famous real estate agent and

856
00:48:03,800 --> 00:48:06,520
Speaker 1: they got married the other day, And I just wanted to,

857
00:48:06,880 --> 00:48:09,600
Speaker 1: you know, shout, shout out that decision. I feel like

858
00:48:09,640 --> 00:48:15,280
Speaker 1: the saber metrics on celebrity couples is that this generally

859
00:48:15,280 --> 00:48:20,200
Speaker 1: works out. Particularly if a famous person marries someone after

860
00:48:20,360 --> 00:48:22,879
Speaker 1: they're like it seems weird. It seems like it would

861
00:48:22,880 --> 00:48:26,879
Speaker 1: just create the biggest like you know, imbalance of status

862
00:48:26,960 --> 00:48:30,000
Speaker 1: or whatever. But a lot of the time when somebody

863
00:48:30,040 --> 00:48:33,960
Speaker 1: marries someone while they're famous and the person is not

864
00:48:34,040 --> 00:48:36,960
Speaker 1: famous like that, that seems to work better than if

865
00:48:37,000 --> 00:48:40,359
Speaker 1: they're both famous, or if they become famous after they've

866
00:48:40,360 --> 00:48:43,680
Speaker 1: already married somebody who's not famous, like Julia Roberts is

867
00:48:43,680 --> 00:48:46,920
Speaker 1: still married to the you know, hot cameraman that she

868
00:48:47,000 --> 00:48:52,280
Speaker 1: married after a bunch of famous failed relationships with famous people. Yeah,

869
00:48:52,360 --> 00:48:57,440
Speaker 1: Danny just Alba married Cash Warren just based on his

870
00:48:57,520 --> 00:49:01,000
Speaker 1: name alone, I think. But he was a p A

871
00:49:01,160 --> 00:49:05,560
Speaker 1: when they got married, I think, right, yeah, gave hope

872
00:49:05,600 --> 00:49:10,200
Speaker 1: to every young man. To me, Oh my god, I

873
00:49:10,239 --> 00:49:13,040
Speaker 1: have chills because I remember like, oh, the p A

874
00:49:13,080 --> 00:49:14,440
Speaker 1: because I was a p A at the time, and

875
00:49:14,440 --> 00:49:17,520
Speaker 1: I was like, yes, this is this is my this

876
00:49:17,560 --> 00:49:22,000
Speaker 1: is my track to passive stardom. That guy must exude

877
00:49:22,080 --> 00:49:25,319
Speaker 1: confidence if you're a p A and you're like, yeah,

878
00:49:25,440 --> 00:49:28,239
Speaker 1: totally yeah, that guy just must have it rather than

879
00:49:28,280 --> 00:49:32,880
Speaker 1: like nervously stealing snacks from the crafty table like I

880
00:49:32,880 --> 00:49:35,080
Speaker 1: I don't know, I don't know. Fun all these Orioles

881
00:49:35,120 --> 00:49:38,359
Speaker 1: getting my jacket pocket for the ghost reminds me of

882
00:49:38,400 --> 00:49:41,080
Speaker 1: like when there was there's that run I think in

883
00:49:41,120 --> 00:49:44,840
Speaker 1: the nineties in college football where there were a bunch

884
00:49:44,880 --> 00:49:50,040
Speaker 1: of like really great, like Heisman caliber players named Champ

885
00:49:50,600 --> 00:49:52,560
Speaker 1: and it was just like, well, yeah, I mean their

886
00:49:52,600 --> 00:49:54,680
Speaker 1: their parents named them Champ. Of course they were going

887
00:49:54,719 --> 00:49:58,040
Speaker 1: to be fucking awesome. Like just based on the confidence alone,

888
00:49:58,280 --> 00:50:00,719
Speaker 1: I bet just being named Cash were in Like he

889
00:50:00,800 --> 00:50:03,560
Speaker 1: was just like, yeah, no, I obviously I should marry

890
00:50:03,640 --> 00:50:07,000
Speaker 1: Jessica Alba. What what are you gonna do? Champ is

891
00:50:07,000 --> 00:50:10,239
Speaker 1: such a great name. Champ is a cool name. Wait,

892
00:50:10,280 --> 00:50:12,399
Speaker 1: who else is there? I'm just thinking a Champ Bailey.

893
00:50:12,960 --> 00:50:15,120
Speaker 1: Maybe it wasn't all named Champ, but there were a

894
00:50:15,120 --> 00:50:20,120
Speaker 1: lot of like really cool names that were like like

895
00:50:20,239 --> 00:50:24,759
Speaker 1: just basically imbuing that person as like the greatest, And

896
00:50:25,280 --> 00:50:28,759
Speaker 1: it always made an impression that like that that's got

897
00:50:28,760 --> 00:50:31,440
Speaker 1: to be a slight leg up when you were just

898
00:50:31,600 --> 00:50:35,440
Speaker 1: forming your ability to store memories and like the first

899
00:50:35,480 --> 00:50:38,279
Speaker 1: thing you learn is that your name is Champa. There's

900
00:50:38,400 --> 00:50:40,960
Speaker 1: just thinking to who's I mean, who else are you

901
00:50:40,960 --> 00:50:44,359
Speaker 1: thinking that? Were you thinking of Champ Bailey specifically? I

902
00:50:44,400 --> 00:50:47,960
Speaker 1: was thinking a Champ Bailey. Uh, that's the draft class.

903
00:50:48,640 --> 00:50:53,280
Speaker 1: So you got Peter Warwick, the Heisman nominees of Chad Pennington.

904
00:50:53,760 --> 00:50:57,320
Speaker 1: Chad Pennington. It wasn't the same year. I just remember

905
00:50:57,360 --> 00:51:00,480
Speaker 1: there being the era the era, there were like a

906
00:51:00,560 --> 00:51:04,680
Speaker 1: handful of those people. It's really cool names. I like

907
00:51:04,719 --> 00:51:07,600
Speaker 1: how you're like those are really cool names, Like, right,

908
00:51:08,360 --> 00:51:12,719
Speaker 1: it's such a great simple way to look at the world, Right, man,

909
00:51:13,000 --> 00:51:17,040
Speaker 1: that's a great name. Yeah. I'm like asking my mom, like,

910
00:51:17,040 --> 00:51:20,120
Speaker 1: why don't you name me Champ that I feel like

911
00:51:20,160 --> 00:51:22,520
Speaker 1: the cult is a good is a good name for

912
00:51:22,760 --> 00:51:27,000
Speaker 1: football players, for anyone. Yeah, but like that seems to there.

913
00:51:27,040 --> 00:51:30,400
Speaker 1: If you're named Cult, you're gonna be good at football

914
00:51:30,640 --> 00:51:34,200
Speaker 1: in some way. Or on ninety day fiance combination of

915
00:51:34,239 --> 00:51:39,360
Speaker 1: a gun and an athletic animal. Yeah, pretty cool. Alright.

916
00:51:39,800 --> 00:51:44,000
Speaker 1: Uh and finally, uh, we we talked last year. This

917
00:51:44,080 --> 00:51:49,320
Speaker 1: might be a correction. Uh, We're we're gonna yeah. Story.

918
00:51:49,680 --> 00:51:52,680
Speaker 1: So we talked in twenty nineteen about how the story

919
00:51:52,840 --> 00:51:56,400
Speaker 1: of the creation of Flaming Hot Cheetos, the origin story

920
00:51:56,400 --> 00:51:58,960
Speaker 1: of Flaming Hot Cheetos, was being turned into a movie

921
00:51:59,600 --> 00:52:02,760
Speaker 1: about how a man working as a janitor for frieda

922
00:52:02,880 --> 00:52:07,800
Speaker 1: Lay goodwill hunting his way up the corporate ladder thanks

923
00:52:07,840 --> 00:52:12,200
Speaker 1: to his recipe for a new spicy Cheetoh. The movie

924
00:52:12,280 --> 00:52:16,120
Speaker 1: is titled Flame and Hot, and it is being produced

925
00:52:16,440 --> 00:52:22,359
Speaker 1: by Eva Longoria and it is directive that's right by

926
00:52:22,360 --> 00:52:24,680
Speaker 1: Eva Longoria. So I don't I don't know how I

927
00:52:24,719 --> 00:52:27,439
Speaker 1: feel about this. So now the company is coming out

928
00:52:28,080 --> 00:52:31,440
Speaker 1: and basically saying none of this is true, that they

929
00:52:31,480 --> 00:52:37,120
Speaker 1: were test marketing this before Montagna is the supposed in

930
00:52:37,239 --> 00:52:40,200
Speaker 1: ventor was claims to have even invented it. They were

931
00:52:40,200 --> 00:52:44,279
Speaker 1: test marketing it in a completely different market. And that

932
00:52:44,360 --> 00:52:48,880
Speaker 1: who was like this team of very like hot shit, uh,

933
00:52:49,280 --> 00:52:52,280
Speaker 1: you know, food scientists who came up with the idea,

934
00:52:52,800 --> 00:52:57,480
Speaker 1: which it's kind of like the exact average of if

935
00:52:57,520 --> 00:53:01,840
Speaker 1: you asked me to describe the invention of any food product,

936
00:53:01,960 --> 00:53:03,759
Speaker 1: That's what I would guess is that there was a

937
00:53:03,800 --> 00:53:07,480
Speaker 1: team of like marketers and food scientists who got together

938
00:53:07,719 --> 00:53:12,080
Speaker 1: were like, hey, these seem to be popular in a region,

939
00:53:12,480 --> 00:53:16,080
Speaker 1: like I think it was Detroit here, let's develop our own.

940
00:53:16,320 --> 00:53:20,720
Speaker 1: And they made a very popular food as opposed to

941
00:53:21,000 --> 00:53:25,240
Speaker 1: the flame and hot version of events where he literally

942
00:53:25,320 --> 00:53:28,400
Speaker 1: had a shack in his backyard that he like had

943
00:53:28,440 --> 00:53:33,319
Speaker 1: his spices in and would like put spices on like

944
00:53:33,520 --> 00:53:36,720
Speaker 1: Cheetos too. That's the part I don't understand. It's flaming

945
00:53:36,719 --> 00:53:40,319
Speaker 1: hot Cheetos like cheetah. Anything in Cheetos is not like

946
00:53:40,360 --> 00:53:43,600
Speaker 1: you're not putting like paprika. It's all chemicals, right, like

947
00:53:43,920 --> 00:53:47,799
Speaker 1: you need literal test tubes and centrifuges, like how in

948
00:53:47,840 --> 00:53:51,040
Speaker 1: a shock behind his house it's more like the flavor

949
00:53:51,120 --> 00:53:53,960
Speaker 1: profile being of like you know, because it starts being

950
00:53:54,000 --> 00:53:57,440
Speaker 1: based in real world flavors and then synthesized into this

951
00:53:57,480 --> 00:54:01,560
Speaker 1: other thing that canet mash produced. Might have them Oh yeah,

952
00:54:01,560 --> 00:54:03,480
Speaker 1: flame and hot cheet Oh yeah yeah, I love flaming

953
00:54:03,480 --> 00:54:06,600
Speaker 1: hot cheetos. Can't can't stop beating him when you start

954
00:54:06,640 --> 00:54:09,719
Speaker 1: hearting him. That's a hard part about him. But like,

955
00:54:09,760 --> 00:54:12,720
Speaker 1: it's interesting because I've worked in places where an idea

956
00:54:12,840 --> 00:54:15,680
Speaker 1: I had was claimed to be the idea of someone

957
00:54:15,719 --> 00:54:19,400
Speaker 1: above me, and the or and that becomes the story

958
00:54:19,480 --> 00:54:22,160
Speaker 1: of a concept is like, oh no, it's that guy

959
00:54:22,239 --> 00:54:25,439
Speaker 1: that made it, and there's no I mean like, I'm like, well,

960
00:54:25,520 --> 00:54:27,799
Speaker 1: can you get the emails out? Because you know, I

961
00:54:27,840 --> 00:54:29,960
Speaker 1: pitched that thing, and I know it came out of

962
00:54:30,040 --> 00:54:33,080
Speaker 1: this officer, but that actually came for me. And when

963
00:54:33,080 --> 00:54:34,840
Speaker 1: I read like sort of how some of the people like,

964
00:54:34,880 --> 00:54:36,799
Speaker 1: you know, we looked into it and this person wasn't

965
00:54:36,800 --> 00:54:40,319
Speaker 1: connected it. He also feels like it's very a very

966
00:54:40,320 --> 00:54:44,120
Speaker 1: realistic possibility too, is like that maybe this guy really did,

967
00:54:44,719 --> 00:54:46,560
Speaker 1: you know, get these people to say we need to

968
00:54:46,600 --> 00:54:49,239
Speaker 1: consider this. They take his idea and on all the

969
00:54:49,360 --> 00:54:52,040
Speaker 1: documentation it comes out of this office where he may

970
00:54:52,080 --> 00:54:54,680
Speaker 1: have worked, but attributed to someone else because they don't

971
00:54:54,680 --> 00:54:57,080
Speaker 1: want to admit someone who didn't even have anything to

972
00:54:57,120 --> 00:54:59,720
Speaker 1: do with our department actually gave us this like idea

973
00:55:00,239 --> 00:55:02,120
Speaker 1: and we don't want to, you know, we don't want

974
00:55:02,120 --> 00:55:04,160
Speaker 1: to give any credence to this idea. I don't know,

975
00:55:04,480 --> 00:55:05,799
Speaker 1: but that's where I'm just kind of like, I'm a

976
00:55:05,800 --> 00:55:08,239
Speaker 1: little It just seems weird because they were letting this

977
00:55:08,920 --> 00:55:11,000
Speaker 1: be the you know, they were saying that we we

978
00:55:11,000 --> 00:55:13,799
Speaker 1: we allowed the rumor to stand for long enough. It's like, well,

979
00:55:13,840 --> 00:55:17,799
Speaker 1: what so the woman who was like primarily she was

980
00:55:17,840 --> 00:55:22,800
Speaker 1: a recent grad from a the Warton of Food Science,

981
00:55:22,960 --> 00:55:26,880
Speaker 1: I guess, and she, uh, she was the main driver

982
00:55:27,239 --> 00:55:31,400
Speaker 1: of the Flaming Cheetoh flaming hot Cheetoh development process, and

983
00:55:31,480 --> 00:55:34,359
Speaker 1: somebody brought this to her attention. She since retired every

984
00:55:34,480 --> 00:55:37,400
Speaker 1: most people who were involved with the development were retired,

985
00:55:37,440 --> 00:55:40,640
Speaker 1: and so they weren't really paying attention. And then she

986
00:55:41,000 --> 00:55:44,520
Speaker 1: kind of launched an inquiry to be like I'm being

987
00:55:45,120 --> 00:55:48,720
Speaker 1: removed from this story. Uh, and it's just not true.

988
00:55:48,800 --> 00:55:52,560
Speaker 1: And that's now how this is coming out, So you

989
00:55:52,600 --> 00:55:55,200
Speaker 1: don't feel so maybe I mean yeah, if if I

990
00:55:55,280 --> 00:55:59,239
Speaker 1: were her Lynn Greenfield, is that here, I would feel bad.

991
00:55:59,680 --> 00:56:01,920
Speaker 1: I mean, if if I got a raise from the

992
00:56:01,920 --> 00:56:04,480
Speaker 1: Flaming Hot Cheetos story, i'd feel bad too. But once

993
00:56:04,480 --> 00:56:07,160
Speaker 1: you sort of back up as a company the story,

994
00:56:07,719 --> 00:56:10,160
Speaker 1: just give everybody the freaking story. It's a nice story.

995
00:56:10,520 --> 00:56:13,480
Speaker 1: The guy like sort amount of thing, like, everybody, just

996
00:56:13,520 --> 00:56:18,839
Speaker 1: give him the story. Give Lynn some other cheeto flavor, right, yeah,

997
00:56:18,920 --> 00:56:21,839
Speaker 1: I mean one of the kind of ideas is that

998
00:56:21,880 --> 00:56:26,360
Speaker 1: maybe he invented like the hot popcorn flavor, which because

999
00:56:26,400 --> 00:56:30,880
Speaker 1: Flaming hut Cheetos was already being pushed in marketing material

1000
00:56:31,120 --> 00:56:38,080
Speaker 1: in before the ceo who he pitched Flaming hut Cheetos

1001
00:56:38,080 --> 00:56:41,480
Speaker 1: two in his story was even like the CEO of

1002
00:56:41,480 --> 00:56:46,560
Speaker 1: the company. So it's the timeline doesn't really line up. Um,

1003
00:56:47,000 --> 00:56:51,200
Speaker 1: so they think maybe he developed another spicy snack and

1004
00:56:51,239 --> 00:56:58,319
Speaker 1: it's just being tossed together that emerges from like, you know,

1005
00:56:58,480 --> 00:57:01,920
Speaker 1: the provenance of ask me. He should be happy because

1006
00:57:02,000 --> 00:57:04,840
Speaker 1: now his movie actually sounds interesting to me. Before the

1007
00:57:04,880 --> 00:57:07,480
Speaker 1: movie sounded kind of boring. It's like, great, poor guy

1008
00:57:07,480 --> 00:57:09,799
Speaker 1: in Vince Cheeto like, but now it's sort of like

1009
00:57:09,840 --> 00:57:11,520
Speaker 1: there's a tug awar at the end, it's got it's

1010
00:57:11,560 --> 00:57:14,040
Speaker 1: got more twists and turns. We'll see if they acknowledge

1011
00:57:14,080 --> 00:57:16,000
Speaker 1: that part, because I know like on some level they

1012
00:57:16,040 --> 00:57:19,480
Speaker 1: think it could be a Christian film because that's the

1013
00:57:19,520 --> 00:57:22,720
Speaker 1: production it is, like, yeah, and his like he says

1014
00:57:22,800 --> 00:57:27,480
Speaker 1: like like God helped him conceive the idea. Oh no,

1015
00:57:27,840 --> 00:57:32,720
Speaker 1: so the production stories don't have a lot of twists

1016
00:57:32,720 --> 00:57:36,360
Speaker 1: and turns general, they sort of straight ahead. It's going

1017
00:57:36,400 --> 00:57:39,160
Speaker 1: to end with like Lynn Greenfield being like smited by

1018
00:57:39,200 --> 00:57:44,320
Speaker 1: the Lord or something, or just them coming through and

1019
00:57:44,360 --> 00:57:49,400
Speaker 1: being like we had this idea from our science and

1020
00:57:49,760 --> 00:57:55,880
Speaker 1: you know then, But I like that our writer j

1021
00:57:56,160 --> 00:57:58,720
Speaker 1: m is pointing, is pointing out that they could also

1022
00:57:58,760 --> 00:58:01,880
Speaker 1: approach this as like the All the President's Men, where

1023
00:58:02,000 --> 00:58:04,480
Speaker 1: the l A Times is trying to get to the

1024
00:58:04,520 --> 00:58:08,600
Speaker 1: truth of this elaborate conspiracy. So that's another angle you

1025
00:58:08,600 --> 00:58:12,040
Speaker 1: can take on it. Right, Maybe these maybe this is

1026
00:58:12,120 --> 00:58:16,640
Speaker 1: just instead of being one small movie that's made next year,

1027
00:58:17,360 --> 00:58:20,479
Speaker 1: it could be all the movies that are released next year. Yeah.

1028
00:58:20,640 --> 00:58:24,960
Speaker 1: The new podcast. Yeah, yeah, there you go. Dan just

1029
00:58:24,960 --> 00:58:29,360
Speaker 1: pricked up. Yeah, well, hey, I said it first, I

1030
00:58:29,480 --> 00:58:32,840
Speaker 1: send it to yourself. She does mail it to ourselves.

1031
00:58:33,320 --> 00:58:37,000
Speaker 1: Jack mail this episode to ourselves. That's so old school.

1032
00:58:37,040 --> 00:58:39,440
Speaker 1: I used to do that. I used to do we

1033
00:58:39,480 --> 00:58:43,280
Speaker 1: always we love That joke wasn't a joke, it was

1034
00:58:43,360 --> 00:58:46,720
Speaker 1: really you would always mail it to yourself. I've done that.

1035
00:58:47,280 --> 00:58:50,160
Speaker 1: Or you have an idea and and you you you

1036
00:58:50,200 --> 00:58:52,480
Speaker 1: don't have the balls to be like I'm cooperating this,

1037
00:58:52,560 --> 00:58:54,120
Speaker 1: but you mail it to yourself and then you don't

1038
00:58:54,120 --> 00:58:56,760
Speaker 1: open it, and then they have time stamped, then you

1039
00:58:56,760 --> 00:58:59,080
Speaker 1: have time stamp. It was a rough It was a

1040
00:58:59,120 --> 00:59:02,760
Speaker 1: different time, man. Yeah. The number of dumb ideas I've

1041
00:59:02,840 --> 00:59:09,240
Speaker 1: like claimed, yeah, well, like I was, I'd open it,

1042
00:59:09,320 --> 00:59:13,000
Speaker 1: but then it would be null employed But look it's

1043
00:59:13,000 --> 00:59:16,720
Speaker 1: from eight ties into the flame and hut Cheetos thing

1044
00:59:16,800 --> 00:59:19,360
Speaker 1: is my big idea when I was in my twenties.

1045
00:59:19,360 --> 00:59:22,840
Speaker 1: And this is a great indicator of how dumb I was.

1046
00:59:22,840 --> 00:59:28,640
Speaker 1: Was Pretzel Eminem's I was. I was like demanding that

1047
00:59:28,720 --> 00:59:31,640
Speaker 1: people hear me out that Pretzel Eminem's were going to

1048
00:59:31,720 --> 00:59:34,560
Speaker 1: be great, and then like five years later they became

1049
00:59:34,560 --> 00:59:38,120
Speaker 1: a thing and they're not that good. They're like, Okay,

1050
00:59:38,240 --> 00:59:39,840
Speaker 1: they're not as good as I thought they were going

1051
00:59:39,920 --> 00:59:42,680
Speaker 1: to be. So first I was like, oh, they took

1052
00:59:42,720 --> 00:59:45,920
Speaker 1: my idea, which like, that's not how that's not how

1053
00:59:46,000 --> 00:59:49,560
Speaker 1: capitalism works. Man, you don't just say it. Uh. And

1054
00:59:49,600 --> 00:59:54,040
Speaker 1: then right, it's yeah, it's it's always a hard uh,

1055
00:59:54,480 --> 00:59:56,280
Speaker 1: just a hard one to go up against when you're

1056
00:59:56,320 --> 00:59:59,400
Speaker 1: claiming you you were back by a corporation to this

1057
00:59:59,520 --> 01:00:05,600
Speaker 1: massive idea. I thought of Fabreeze first. Anyways, Eva Longoria

1058
01:00:05,760 --> 01:00:12,680
Speaker 1: hit me up. We'll we'll tell my story about Prett's leminom. Uh. Dan,

1059
01:00:12,800 --> 01:00:16,480
Speaker 1: it's been a pleasure having you on the daily Zeitgeist? Man?

1060
01:00:16,520 --> 01:00:21,760
Speaker 1: Where can people find you? Follow you, experience you uh

1061
01:00:22,320 --> 01:00:24,800
Speaker 1: d Toberski on Twitter? And then the line is on

1062
01:00:25,480 --> 01:00:29,760
Speaker 1: is on Apple uh podcasts and wherever podcasts are available.

1063
01:00:30,360 --> 01:00:32,400
Speaker 1: What is the line? For the most part, it's called

1064
01:00:32,400 --> 01:00:35,880
Speaker 1: the line. Yeah about Eddie Gallagher. Yeah, about Eddie Gallagher,

1065
01:00:35,920 --> 01:00:40,080
Speaker 1: War crimes, Navy Seals, Forever Wars. It's pretty intense, but

1066
01:00:40,120 --> 01:00:42,880
Speaker 1: it's it's a it's a good chucking listen. Yeah, I

1067
01:00:42,920 --> 01:00:46,000
Speaker 1: was listening to the first episode. It's it's really a man. Yeah,

1068
01:00:46,080 --> 01:00:49,280
Speaker 1: it's it grabs you, and I think also really challenges

1069
01:00:49,960 --> 01:00:53,160
Speaker 1: the listener in a way to sort of consider the

1070
01:00:53,200 --> 01:00:58,200
Speaker 1: worldview of these people who are like fucking warrior killer

1071
01:00:58,280 --> 01:01:02,200
Speaker 1: types and you're like, there's a there are many like

1072
01:01:02,280 --> 01:01:05,120
Speaker 1: these people are not living a normal in a normal

1073
01:01:05,160 --> 01:01:07,840
Speaker 1: place like you or I are, and it Yeah, it's

1074
01:01:07,880 --> 01:01:12,160
Speaker 1: a really interesting good Uh. And is there a tweet

1075
01:01:12,240 --> 01:01:15,600
Speaker 1: or some of the work of social media you've been enjoying?

1076
01:01:16,560 --> 01:01:23,280
Speaker 1: Oh god, um, no, okay, here you get honest. Uh, Miles,

1077
01:01:23,280 --> 01:01:25,680
Speaker 1: where can people find you? And what's the tweet you've

1078
01:01:25,680 --> 01:01:28,320
Speaker 1: been enjoying? Uh? You can find me on Twitter and

1079
01:01:28,360 --> 01:01:31,880
Speaker 1: Instagram at Miles of Gray. And then also the other

1080
01:01:32,040 --> 01:01:35,600
Speaker 1: podcast four twenty Day Fiance, you know, to talk about

1081
01:01:35,600 --> 01:01:40,800
Speaker 1: the easy goingness of fiance. Some tweets that I like.

1082
01:01:41,360 --> 01:01:46,920
Speaker 1: First one is from Joanna Bournes at Robotics tweeted, Hey, hey,

1083
01:01:46,960 --> 01:01:50,439
Speaker 1: my team at Big Corporation is hiring most depressing job

1084
01:01:50,520 --> 01:01:55,680
Speaker 1: title you've ever heard work with me. Very interesting tweet

1085
01:01:56,120 --> 01:01:58,560
Speaker 1: Jordan Morris, I guess from last week. He also tweeted,

1086
01:01:58,920 --> 01:02:01,400
Speaker 1: there don't from the six the Minutes thing, you know,

1087
01:02:01,480 --> 01:02:04,560
Speaker 1: the one the dude who had the goatee who is talking.

1088
01:02:04,840 --> 01:02:08,000
Speaker 1: I don't know if you remember, there's a very yeah

1089
01:02:08,040 --> 01:02:10,439
Speaker 1: that and he he has an image of this guy

1090
01:02:10,480 --> 01:02:12,280
Speaker 1: and he says the guy in sixty minutes, who told

1091
01:02:12,320 --> 01:02:14,640
Speaker 1: us UFOs are real looks like he'd also a corner

1092
01:02:14,640 --> 01:02:17,320
Speaker 1: you at a party and explain his complicated method for

1093
01:02:17,400 --> 01:02:23,000
Speaker 1: getting out of d U I s but can't can't

1094
01:02:23,040 --> 01:02:24,640
Speaker 1: just be a penny. It's got to be a penny

1095
01:02:24,680 --> 01:02:27,040
Speaker 1: and a dime under your tongue. And then they can't

1096
01:02:28,000 --> 01:02:30,200
Speaker 1: right right right you They won't even know, and then

1097
01:02:30,240 --> 01:02:35,440
Speaker 1: finally a Lauren order at Kim. Laura Dashian tweeted, d

1098
01:02:35,560 --> 01:02:38,280
Speaker 1: c is girl Boss and yc is Gate Keep and

1099
01:02:38,560 --> 01:02:41,600
Speaker 1: l a is Gaslight. This clears things up. I think

1100
01:02:41,640 --> 01:02:44,160
Speaker 1: it does. I think I think we're all wise right now.

1101
01:02:44,800 --> 01:02:50,080
Speaker 1: Uh tweet I've been enjoying. Let's go with April said,

1102
01:02:50,160 --> 01:02:52,760
Speaker 1: I used to think Stockholm syndrome was bad, but now

1103
01:02:52,800 --> 01:02:59,160
Speaker 1: that I have it, I think it's good. Who April

1104
01:02:59,240 --> 01:03:02,960
Speaker 1: at auto guy in files so auto A U t

1105
01:03:03,160 --> 01:03:07,320
Speaker 1: O G y N E f I L E S

1106
01:03:09,120 --> 01:03:13,080
Speaker 1: guy in Aisles. You can find me on Twitter, Jack

1107
01:03:13,160 --> 01:03:16,200
Speaker 1: Underscore O'Brien. You can find us on Twitter at Daily Zeitgeist.

1108
01:03:16,280 --> 01:03:19,120
Speaker 1: Were at the Daily Zeitgeist on Instagram. We have Facebook

1109
01:03:19,120 --> 01:03:22,320
Speaker 1: fan page and a website, Daily zeitgeist dot com, where

1110
01:03:22,360 --> 01:03:25,919
Speaker 1: we post our episodes and our footnotes where we link

1111
01:03:25,960 --> 01:03:29,280
Speaker 1: off to the information that we talked about in today's episode,

1112
01:03:29,360 --> 01:03:33,000
Speaker 1: as well as a song that we think you might enjoy. Miles,

1113
01:03:33,040 --> 01:03:37,160
Speaker 1: what song are we recommending today? This is a track

1114
01:03:37,640 --> 01:03:42,000
Speaker 1: from from a track called Yuinion Why i N y

1115
01:03:42,040 --> 01:03:45,080
Speaker 1: i N And it's called Paw fin h Aw Space

1116
01:03:45,200 --> 01:03:47,560
Speaker 1: p h i N. And it's got a very like

1117
01:03:47,680 --> 01:03:50,680
Speaker 1: psychedelic surf rock kind of vibe to it, Like if

1118
01:03:50,680 --> 01:03:53,800
Speaker 1: you like Krungbin, you'll probably dig this track. But it's

1119
01:03:53,800 --> 01:03:56,680
Speaker 1: also got sort of like these like Asian like melodic

1120
01:03:56,720 --> 01:03:59,720
Speaker 1: scale guitar licks in it as well. It's just a nice,

1121
01:03:59,800 --> 01:04:01,680
Speaker 1: nice listen, you know. It kind of takes you want

1122
01:04:01,720 --> 01:04:04,000
Speaker 1: to like going on a surf tour of Bali or

1123
01:04:04,040 --> 01:04:08,880
Speaker 1: song yeah Union. All right, Well, the Daily Zikes the

1124
01:04:08,960 --> 01:04:11,440
Speaker 1: production of My Heart Radio. For more podcasts for my

1125
01:04:11,520 --> 01:04:14,840
Speaker 1: Heart Radio, visit the heart Radio app, Apple podcast, or

1126
01:04:14,880 --> 01:04:17,520
Speaker 1: wherever you listen to your favorite shows. That is going

1127
01:04:17,560 --> 01:04:19,400
Speaker 1: to do it for us this morning. We are back

1128
01:04:19,440 --> 01:04:21,840
Speaker 1: this afternoon to tell you what's trending, and we'll talk

1129
01:04:21,880 --> 01:04:23,200
Speaker 1: to you all then. Bye bye