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Speaker 1: Hello the Internet, and welcome to season two, seventy nine,

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Speaker 1: Episode five of Daly's Guys Stay production of iHeartRadio. 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 share consciousness. And it is Friday in March seventeenth,

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Speaker 1: twenty twenty three. My name's Jack O'Brien aka Pop Pop, Pop, Potatoes,

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Speaker 1: Potatoes o'brium. That is courtesy of at least with the

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Speaker 1: hot takes and the O'Reilly's auto parts jingle, which I

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Speaker 1: was just listening to a version this morning where it's

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Speaker 1: clear that like one of the one of the musicians,

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Speaker 1: one of the vocalists really like got like either got

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Speaker 1: high for the recording session or they just really like

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Speaker 1: through their entire body and spirit into adding the O'Reilly

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Speaker 1: that last O'Riley before the autopart. So congratulations to that artist.

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Speaker 1: We are thrilled to be joined by a co host

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Speaker 1: you know from guesting on this show. Of course you

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Speaker 1: know I'm from stuff they don't want you to know,

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Speaker 1: ridiculous history, the new limited series. Let's start a cool

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Speaker 1: Please welcome the brilliant and talented Ben Bow. Yeah a

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Speaker 1: kaas asked Twitter, and they said aka Casa Della Killa

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Speaker 1: ak bb cool J aka Doctor Awkward aka mister bring

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Speaker 1: the Bags, which I don't get, but I support mister

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Speaker 1: bring the bags. You always bring those bags of knowledge

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Speaker 1: to people. My A I am screen name in college

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Speaker 1: and high school was ob cool Ja, So shout out

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Speaker 1: my friend you. Yeah, that was a creation of my

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Speaker 1: friend Chris, the legendary Chris, who I talked about a

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Speaker 1: lot on this show. Well, Ben, wonderful to have you

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Speaker 1: co hosting. You already dropped some knowledge on us that

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Speaker 1: I want to talk about a moment. But first let's

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Speaker 1: introduce our guests, shall we? Another Consummate podcast professional, one

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Speaker 1: of the best in the business digital activists. You can

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Speaker 1: hear her on her brilliant podcasts. There are no girls

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Speaker 1: on the internet Internet hate machine. With cool Zone Media,

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Speaker 1: it's bridget time. Oh my god, I love every time

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Speaker 1: I come here, you all give me the best introductions.

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Speaker 1: It was my heart, I mean. And we do offer

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Speaker 1: that because we're as we're going to get into with

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Speaker 1: Sesame Street, we are running into money difficulties. I will

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Speaker 1: offer to do an intro for you that you can

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Speaker 1: bring around with you. That is an NFT for the

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Speaker 1: low low price of five thousand dollars, so just let

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Speaker 1: me know after the recording. But Bridget so wonderful having you.

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Speaker 1: The intro is always more than well deserved. How are

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Speaker 1: you doing? You have new glasses that look fantastic. First,

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Speaker 1: I just got new glasses, So I'm in that phase

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Speaker 1: of getting a new item where you're just expecting compliments

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Speaker 1: and when you get that and they're like thank you,

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Speaker 1: I know, and that is correct and that is appropriate. Yeah, yeah,

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Speaker 1: they're great. Yeah. I was saying, I need I have

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Speaker 1: five pieces of clothing that I wear on a regular

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Speaker 1: basis because I need so many compliments to just have

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Speaker 1: the confidence to wear anything. Otherwise it's just a white

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Speaker 1: T shirt. Ben, you were saying before, because we were

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Speaker 1: talking about the naming of dogs, and you were saying

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Speaker 1: that studies have been conducted that suggests that dogs respond

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Speaker 1: better to names that end in S or why yeah

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Speaker 1: or I E. Yeah, it's right. Yeah, it's a weird thing,

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Speaker 1: and it's you know, we talk about names pretty often, right,

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Speaker 1: because names do have power. If it apparently, I don't

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Speaker 1: look up the study and send you all, but apparently

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Speaker 1: side shows that dogs will tend to be more more

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Speaker 1: receptive to their their human roommates, parents, whatever however you

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Speaker 1: want to answer primorifies. Uh, they'll be more receptive when

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Speaker 1: their name ends in that I e. Or y sound

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Speaker 1: or like a plural, which which is nuts to me

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Speaker 1: because it explains so much. Right, It's like, why does

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Speaker 1: every dog person we know, why do they inevitably have

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Speaker 1: all these nicknames? Right? Yeah, you gotta find Finny boy. Yeah. Yeah,

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Speaker 1: he did not respond to Finn. He ignored this shit

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Speaker 1: on me. I was like, he can't hear very clearly. Yeah,

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Speaker 1: there's nothing cuter than asking a pet owner like, what

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Speaker 1: is your pet's name? And then give me the laundry

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Speaker 1: list of other names doctor, like doctor Finnancy like yeah

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Speaker 1: for sure, yeah, and then yeah and then like what

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Speaker 1: I was thinking about common dog names. It's like Max,

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Speaker 1: which has an ass on the end spot does not

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Speaker 1: pass the test. Lassie though, you know these standard names

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Speaker 1: and throwing a y on the end always a good idea.

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Speaker 1: So I had a kid growing up with me had

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Speaker 1: a wonderful, wonderful guy living with him named Buster. And

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Speaker 1: Buster was a Golden Retriever who always seemed like very

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Speaker 1: good energy, very affable, but didn't quite like didn't quite

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Speaker 1: get what was going on, ye or Buster, And I

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Speaker 1: think it's because I think it's this poor guy spent

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Speaker 1: you know, over a decade not fucking knowing when people

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Speaker 1: were talking to him. Yeah, that would be difficult. I

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Speaker 1: think in my experience that's hard. All right, well, Bridget,

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Speaker 1: we're going to get to know you a little bit

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Speaker 1: better in a moment. First, we're gonna tell our listeners

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Speaker 1: about the plate of just hot garbage news that we

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Speaker 1: have for them today. Today's news cycle seems to have

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Speaker 1: been it seems like all all the news outlets were

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Speaker 1: just like turn it over to chat GPT. We're just

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Speaker 1: gonna and tell them about like all the all the

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Speaker 1: buzzwords from the last year. So we have we have

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Speaker 1: the Taco Bell metaverse wedding what too? We have a

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Speaker 1: review of the Taco Bell Metaverse wedding, officiated by Cal Penn.

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Speaker 1: Of course it really can get mixed up in that.

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Speaker 1: How did he get looped in? Definitely guy, it's you

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Speaker 1: know that sweet sweet marketing money. The Tiger King is

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Speaker 1: running for president from jail. There is a Sesame Street

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Speaker 1: NFT that just got dropped. They're a little little behind

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Speaker 1: the curve on that one. Admire that they're sticking to it.

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Speaker 1: They're still just like, no, we think people are gonna

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Speaker 1: want an NFT of cookie Monster leaning kind of seductively

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Speaker 1: on an oven. He like seems like he's it seems

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Speaker 1: like a dating profile pick of Monster, which is interesting choice.

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Speaker 1: He owns the means of production. Man, He's showing people

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Speaker 1: that he can make his own. That's power, right. Yeah,

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Speaker 1: So we'll talk about that and also the history of

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Speaker 1: why Sesame Street needs to resort to selling NFTs and

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Speaker 1: tickle Me's Elmo and all that shit. Before we get

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Speaker 1: to any of that stuff, Bridget, we do like to

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Speaker 1: ask our guests, what is something from your search history

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Speaker 1: that is revealing about who you are? Something from my

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Speaker 1: search history that is revealing about who I am is

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Speaker 1: the phrase sexy boy. I'm recording a podcast about the

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Speaker 1: rivalry between Brett Harry Art and Shawn Michaels, and in

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Speaker 1: the script they were like, oh, Shaun Michaels, his walk

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Speaker 1: on song at the time was a song called sexy Boy.

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Speaker 1: It's all like, oh, I have to hear this song.

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Speaker 1: So that was one of the last things I googled

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Speaker 1: was to hear Sean Michaels is walk on song sexy Boy, which,

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Speaker 1: by the way, if you, if you, I recommend googling

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Speaker 1: it and listening to it because it's pretty good. But yeah,

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Speaker 1: so that was what he walked out onto the stage too,

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Speaker 1: is it bo I? They? No, this was the nineties,

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Speaker 1: this was boy. We didn't know. Only Big Boy from

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Speaker 1: Outcasts knew that you could spell your name spell the

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Speaker 1: word boy that way. Yeah, that's right. Wow, so sexy boy.

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Speaker 1: The first Google result when you just put the words

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Speaker 1: sexy boy into Google is the Shawn Michaels intro music.

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Speaker 1: But it's not the first image result. I'll tell you

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Speaker 1: that much, folks. Is it a sexy boy? It's a

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Speaker 1: lot of sexy boys, a lot of ripped six pack abs,

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Speaker 1: one in which yeah, I don't even want to describe

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Speaker 1: what's happening, and that one. Since we're an audio show,

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Speaker 1: I think it's I think it's necessary to tell the

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Speaker 1: Zeit gang that Bridget and I can see Jack's furrowed brow.

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Speaker 1: What do you do it? Are you like trying to

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Speaker 1: count apps? What's going on? How many apps are supposed

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Speaker 1: to be on a Sexy Boy? Yeah? A lot. It's

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Speaker 1: a lot to take in this this search history, but

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Speaker 1: that thank you so much for sharing with it. I

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Speaker 1: actually don't know that song. I never got into the

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Speaker 1: whole ww FW. Like I was super into it for

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Speaker 1: a couple months when I was like five, when like

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Speaker 1: whole Coogan Andre the Giant, and then just like fell

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Speaker 1: out of love with it. I think I discovered like

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Speaker 1: playing guns instead of playing wrestling, and like just moved

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Speaker 1: on to some other toxic little boy bullshit. I think ramp.

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Speaker 1: My dad saw Rambo and described it to me, and

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Speaker 1: I was like, well, this is my new personality. Yeah.

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Speaker 1: I was so influenced by Sylvester Stallone and like his

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Speaker 1: whole thing is like haunted, scarred, damaged, like you know,

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Speaker 1: can barely communicate because he's like holding in so much

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Speaker 1: pain and just like so thoroughly toxic with his inability

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Speaker 1: to talk about his pain, to access his own pain.

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Speaker 1: As identified with this as a child. Was a child

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Speaker 1: because Rocky and Rambo, Like, for whatever reason, I was like, yes,

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Speaker 1: take me more. Yeah, Like I fantasized about getting beat

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Speaker 1: up instead of beating people up because Rocky. That was

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Speaker 1: like the majority of what Rocky was was him just

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Speaker 1: getting the shit beat out of him. I was like, man,

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Speaker 1: that guy can take a punch. I wish I could

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Speaker 1: take a punch like that. I thought, look like Bridget.

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Speaker 1: When you said sexy boy, I immediately thought of the

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Speaker 1: song by the French Air Air. Yeah. I was like,

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Speaker 1: that's it. I'm still relevant. I got my finger on

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Speaker 1: a pulse or whatever. How weird would it be if

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Speaker 1: a wrestler in the nineties his walk on song was

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Speaker 1: air going by air like. He's a real, like high brow.

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Speaker 1: He's cultivating a vibe here. Okay, okay, playing Moon Safari.

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Speaker 1: It's a great idea. Somebody should just have be avant

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Speaker 1: garde wrestler just the most hate it. They really wanted

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Speaker 1: to create a villain that America would hate. Super metrosexual. Yeah,

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Speaker 1: just just Artie, just Artie. You know what is something

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Speaker 1: Bridget that you think is overrated? Something that I think

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Speaker 1: is overrated is it's very specific and perhaps a little

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Speaker 1: bit niche. I was in Vegas. I just came back

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Speaker 1: from Vegas for podcast Movement Evolutions, and while I was there,

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Speaker 1: I learned that I didn't know that. I don't know

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Speaker 1: how I didn't know this, But did you know that

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Speaker 1: Elon Musk's boring company has hollowed out part of the

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Speaker 1: ground under Las Vegas to make what it's called the

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Speaker 1: Vegas Loops like hyperloop. So this is this is where

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Speaker 1: the confusion came from. On my part. I was thinking

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Speaker 1: hyper loop, like that super fast underground thing, which like

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Speaker 1: you know, like I'm no expert, but it sounded I

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Speaker 1: was interested to see it. So we've been sold on

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Speaker 1: hyper loop, which does sound kind of cool. This what

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Speaker 1: actually exists is Vegas Loop, which is so much fucking worse.

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Speaker 1: It is whatever you're thinking. It is so much less cool,

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Speaker 1: and it's underground and it's just this underground road under

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Speaker 1: part of Las Vegas where Tesla's drives and so it's

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Speaker 1: essentially just like a fleet of a fleet of Tesla's

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Speaker 1: driven by humans that drives underground goes about thirty to

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Speaker 1: forty miles an hour. It doesn't go it doesn't go

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Speaker 1: wildly fast. And that's the whole thing. When you go down,

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Speaker 1: you think it's gonna be cool, because it's kind of

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Speaker 1: like when do you to board those Version America flights

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Speaker 1: where they'd have the lights, they have the lights, they

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Speaker 1: have the lights, they've got some lights, they've got some music,

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Speaker 1: and you think like, oh, I'm back to be whisked

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Speaker 1: away on this like futuristic loop. It's just a dude

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Speaker 1: driving a Tesla. Like that's the whole thing. Subway system

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Speaker 1: with tesla's instead of trains. Uh yeah, pretty much, pretty much.

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Speaker 1: And the whole time I was just like, this was

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Speaker 1: this is the whole thing. It's essentially the same thing

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Speaker 1: that happens above ground, but underground for some reason, Like

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Speaker 1: I can't understand why it's supposed to be better to

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Speaker 1: be underground. I can't. I can't get it. Anyway, very

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Speaker 1: overrated it was. It just was really whacked, Like it

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Speaker 1: just wasn't cool because they talked about this a lot.

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Speaker 1: I remember him talking a big game and then I

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Speaker 1: had lumped this into yet another one of the things

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Speaker 1: that he talked a lot about, and it sucked and

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Speaker 1: it turns out that he did or actually didn't happen,

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Speaker 1: And it turns out it did happen, and it sucked,

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Speaker 1: So that that is actually news to me. Wait, do

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Speaker 1: a lot of people use it? I don't think so.

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Speaker 1: Everybody who I saw was like interested in the novelty

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Speaker 1: as I was. I don't think it's something that people

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Speaker 1: are using for their general transportation means in Vegas. I

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Speaker 1: could be wrong, so don't trust it, Like I don't

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Speaker 1: yea that he is doing the work to make sure

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Speaker 1: it is safe and not going to collapse in on itself. Personally, Yeah,

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Speaker 1: I did have a couple of questions because like if

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Speaker 1: you were if you had a disability and you had

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Speaker 1: a wheelchair or a mobility device, it's not clear to me,

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Speaker 1: like like you can't really stop, but the people are

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Speaker 1: really the people driving are very invested in like keeping

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Speaker 1: keeping it going. So if you had a luggage or something,

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Speaker 1: it wasn't clear to me what would happen. So certainly

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Speaker 1: it's the kind I'm to say it worked about as

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Speaker 1: well as an underground driving sits stem designed by Elon Musk,

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Speaker 1: exactly what you think it would be. It is, like, yeah,

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Speaker 1: it's designed as about as well as Elon Musk as

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Speaker 1: you would imagine Elon must have four to thirty pm

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Speaker 1: on a Friday energy, right, yes, exactly? What is something

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Speaker 1: you think is underrated? Something I think it's underrated? Is

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Speaker 1: this is going to be controversial? Checking your luggage when

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Speaker 1: you're flying, I usually carry on. I checked had a

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Speaker 1: bunch of bags, so I checked them all and I

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Speaker 1: don't know what, I've been avoiding this whole time. Like

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Speaker 1: it it went fine. It was nice to not have

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Speaker 1: to I had a connection, so it was nice to

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Speaker 1: not have to schlept bags from here to there. This

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Speaker 1: whole time, I've been crapping on people who aren't able

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Speaker 1: to get their stuff into a carry on. I think

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Speaker 1: I'm I think I'm check bags for life. Now. It's

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Speaker 1: it's really hit or miss. It's when when it doesn't

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Speaker 1: go well, that's like they lose the bag, the bag

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Speaker 1: takes an hour to arrive, as it did on my

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Speaker 1: last flight that I took where we checked a bag.

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Speaker 1: It's it's a bummer. It's real. It's really tough to

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Speaker 1: just be like kind of waiting there with everybody that

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Speaker 1: you were just on the plane with and never wanted

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Speaker 1: to see again. One yeah, right, right right, You're like,

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Speaker 1: I'm standing next to this this guy who is a

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Speaker 1: way too open with his feet as well, take my

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Speaker 1: shoes off again? Yeah, let me learn more about you, bro.

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Speaker 1: What kind of bag do you store your socks in?

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Speaker 1: Because I think you just have the one pair. But also,

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Speaker 1: like I gotta say I'm with bridget on this some

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Speaker 1: team bridget On on the checking bags when it works out,

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Speaker 1: because I'm I'm a sucker, and I love that moment.

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Speaker 1: For me, it always feels like the climactic moment of

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Speaker 1: a rom com, you know, when I see my bag

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Speaker 1: again and I'm like, oh, we've been you know, we've

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Speaker 1: been hundreds of miles away and here you are coming

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Speaker 1: towards me, and I know it's you. I knew from

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Speaker 1: the first, you know what I mean, Like, you know,

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Speaker 1: I'm like hugging the bag and yeah, yeah, I don't

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Speaker 1: know anthropomorphizing. Maybe I don't think my bag cares about

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Speaker 1: me the way I care about Don't be so hard

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Speaker 1: on yourself. Don't say that then you do you do

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Speaker 1: you guys? Tie a little ribbon? Do you have? What's

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Speaker 1: your How do you know it at first sight? Because

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Speaker 1: bags are I do feel like bags have evolved, like

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Speaker 1: the way that nature keeps evolving into crabs, like animals

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Speaker 1: keep evolving into crabs. I feel like all bags have

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Speaker 1: evolved into the same, like black, gray, hard bodied, rectangular

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Speaker 1: suitcase that looks like it could have been made by

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Speaker 1: you know, one of the three internet bag companies. Do

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Speaker 1: you guys have a little little piece of spirit, little

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Speaker 1: piece of as on there I do. I have very

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Speaker 1: distinctive stickers, So I usually travel with two bags. One

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Speaker 1: is like very distinctive, no one whatever mistake it for theirs.

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Speaker 1: It's like bright orange, definitely mine. The other is the

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Speaker 1: classic black Oway bag, which I think I did get

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Speaker 1: for free from for like making a podcast. Add like

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Speaker 1: everybody has, well, everybody who had a podcast got that bag.

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Speaker 1: We all had podcasts, So everybody has that bag now.

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Speaker 1: And it's a good bag. It's durable. I've had it

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Speaker 1: for years and like, like truly it is like the

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Speaker 1: day you start a podcast that shows up at your

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Speaker 1: house with your microphone. But so I have to have

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Speaker 1: all kinds of distinctive stickers on it, right because there

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Speaker 1: are so many of those bags. And I also to

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Speaker 1: that question, I I like to have, like I have

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Speaker 1: no stickers on a car because I feel like that's

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Speaker 1: uh presumptuous. Somehow people are already driving. They don't want

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Speaker 1: to have to learn more about me. I'll just use

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Speaker 1: my turn signals and be quiet. But but like, like

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Speaker 1: with the bag, especially because they're relatively ubiquitous and I'm

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Speaker 1: partially colored blind, I have a bunch of like just

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Speaker 1: travel stickers, the ones they do from when you check

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Speaker 1: a bag and I just haven't haven't cleaned it, So

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Speaker 1: I'm always thinking, oh, yeah, there's the one, the beat up,

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Speaker 1: shitty one. I knew you from the first Welcome back.

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Speaker 1: But you know, but I think it is smart when

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Speaker 1: people have you know, sometimes people make a statement. Everybody

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Speaker 1: makes a statement right at different times. And I kind

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Speaker 1: of love seeing weird bags in the baggage claim. You know,

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Speaker 1: I'm like, oh, this guy either is super into snowboarding

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Speaker 1: or maybe it's a cello right. One thing I do

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Speaker 1: know is he has very specific views on you know,

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Speaker 1: to bet back in the nineties. Sure from is like

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Speaker 1: free to bet thing. I think that's cool. I think

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Speaker 1: that's cool. And if you check a bag, like to

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Speaker 1: your point, Bridget, you can especially if you have a

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Speaker 1: connecting flight. It's like the logistics is just sort of magical.

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Speaker 1: I can never do that. I could never figure out

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Speaker 1: how to follow every you know, watch every falling sparrow

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Speaker 1: from like one airplane to the next. But it's oppressive. Yeah, Ben,

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Speaker 1: to your point about that you don't put stickers on

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Speaker 1: your cars, do you ever see one of those cars

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Speaker 1: that just has way too many stickers on it? Where

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Speaker 1: it's like you are trying to tell out way too

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Speaker 1: many things, even if there are things that I like

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Speaker 1: or agree with. At a certain point, it's like it

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Speaker 1: makes you're advertising too much to the world, even if

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Speaker 1: it's things that I'm aligned with us too much. Yeah, yeah,

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Speaker 1: it's too much. And they're always like usually include get

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Speaker 1: off my ass, And it's like, will you clearly want

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Speaker 1: me somewhere close to you so that I can read

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Speaker 1: the dissertation that you've put together. Those stickers, the bumper

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Speaker 1: stickers are like, so, I don't know. They do not

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Speaker 1: have affect industry wide fact checker, I will say, because

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Speaker 1: there are quotes attributed to Einstein that I'm pretty sure

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Speaker 1: are like van Halen lyrics or something. You know, what,

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Speaker 1: what do you guys think about vanity plates? Oh? I

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Speaker 1: used to have one. What you're saying said love This

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00:21:18,920 --> 00:21:21,280
Speaker 1: is so cheesy. It said love to teach, because I

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Speaker 1: was a teacher at the time and I really did

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Speaker 1: love to teach. I think, yeah, that's a good one.

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Speaker 1: That's a good I like the ones where you know,

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Speaker 1: I'm I'm never going to condone being high in traffic.

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Speaker 1: So for the purposes of this story, I was writing shotgun,

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Speaker 1: and I got to the point where I thought regular

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Speaker 1: license plates were vanity plates that I just smart enough

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Speaker 1: to understand. Yeah, I was like, H four, no, no, no,

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Speaker 1: keep following that guy. I gotta write this down. Follow

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Speaker 1: that man. Decode. Also, there was a stunt that I

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Speaker 1: don't know if it's been replicated widely, but it's an

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Speaker 1: interesting thought, is that there was a study that the

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Speaker 1: people who were most likely to engage in road rage

359
00:22:10,960 --> 00:22:16,760
Speaker 1: incidents were It had nothing to do with like, you know,

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Speaker 1: so some of the things that you might have liked

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Speaker 1: with whether they were in a pickup truck or like

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Speaker 1: a different kind of truck, which would have been my

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Speaker 1: first guess. It was actually people who had bumper stickers

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Speaker 1: were like that was the only statistically significant differentiator between

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Speaker 1: like how likely they were to get into a road

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Speaker 1: rage incident, and like, I think the theory was that

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Speaker 1: if you have bumper stickers, you view your car as

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Speaker 1: like an extension of your personhood more than anything else,

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Speaker 1: and so like you view it as a personal insult

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Speaker 1: if you're cut off, as opposed to just a thing

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Speaker 1: that happens to everyone. You know, Wow, this is like

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Speaker 1: one of the reasons why I don't drive is because

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Speaker 1: I feel like I would be a road rage person.

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Speaker 1: Like I drive a little bit, but I really don't

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Speaker 1: drive a lot. Uh when I'm behind the wheel, Like

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Speaker 1: if somebody is trying to murder, like kind of box

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Speaker 1: me out to merge, I will kill us both, Like

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Speaker 1: I don't care, like we will die in this car. Yeah,

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Speaker 1: I get. I believe that I believe the bumper sticker

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00:23:21,960 --> 00:23:25,520
Speaker 1: to road rage correlation. Yeah, it's like you probably feel

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Speaker 1: much more like this is my this car is my

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Speaker 1: property and an extension of me, and I will protect it,

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Speaker 1: which I hate to say. It's like an instinct that

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Speaker 1: I get. And I wonder if they I've never had

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Speaker 1: a bumper sticker, but I do wonder if when you

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Speaker 1: have a bumper sticker, you start assuming people are driving

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00:23:42,440 --> 00:23:47,560
Speaker 1: a certain way around you based on You're defensive. You're like, oh,

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00:23:47,640 --> 00:23:50,840
Speaker 1: you don't like Einstein. You don't believe that I ran

389
00:23:50,920 --> 00:23:54,920
Speaker 1: a half marathon, like I'm gonna take this to the death.

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00:23:55,600 --> 00:23:58,880
Speaker 1: You're you're you're like laying on your horn and to yourself,

391
00:23:58,960 --> 00:24:02,719
Speaker 1: you're just muttering, Well, this guy doesn't fucking coexist. That's right,

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00:24:03,320 --> 00:24:08,639
Speaker 1: you know. I h I see it and this is

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Speaker 1: just further cementing my no bumper stickers on my car situation.

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Speaker 1: You know, it's it's great, You're right, though, it's it's

395
00:24:18,040 --> 00:24:20,879
Speaker 1: a lot. I think people always want to sort of

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00:24:20,960 --> 00:24:23,280
Speaker 1: tell a story, right, because we are the stories we

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00:24:23,400 --> 00:24:28,359
Speaker 1: tell ourselves. But to you guys, point how many should

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00:24:28,400 --> 00:24:32,040
Speaker 1: there be a limit? Should somebody like right right to

399
00:24:32,160 --> 00:24:34,840
Speaker 1: our local representatives and say, hey, I know there's a

400
00:24:34,880 --> 00:24:38,320
Speaker 1: lot of stuff going on, but like three bumper stickers, max,

401
00:24:38,600 --> 00:24:41,280
Speaker 1: you know, like let's bring people together. I don't know,

402
00:24:41,720 --> 00:24:44,080
Speaker 1: I don't know. I believe there should be a limit

403
00:24:44,160 --> 00:24:48,800
Speaker 1: on bumper stickers. And also signs in your yard. Like again,

404
00:24:49,280 --> 00:24:51,720
Speaker 1: even even if it signs of things that I agree with,

405
00:24:51,800 --> 00:24:54,840
Speaker 1: it's like, we get it. Three is plenty three. You

406
00:24:54,880 --> 00:24:57,160
Speaker 1: don't need you need, you don't need to like, let's

407
00:24:57,200 --> 00:25:00,960
Speaker 1: just keep it reasonable. Three. It's a diminishing return exactly.

408
00:25:01,920 --> 00:25:05,240
Speaker 1: And some people like try to build, Like there's houses

409
00:25:05,280 --> 00:25:07,600
Speaker 1: that are like we do this this week and we're

410
00:25:07,640 --> 00:25:09,920
Speaker 1: gonna like, I don't know, it's it reminds me of

411
00:25:10,000 --> 00:25:14,080
Speaker 1: like those like mini library things that I think are cool.

412
00:25:14,160 --> 00:25:15,760
Speaker 1: But I think a lot of people are like this

413
00:25:16,040 --> 00:25:18,359
Speaker 1: is how we build community. And it's like, well, you're

414
00:25:18,400 --> 00:25:22,920
Speaker 1: not really interacting with anyone. Feels like yeah, yeah, I

415
00:25:23,000 --> 00:25:25,440
Speaker 1: don't know. I'm glad those exist. I just don't know

416
00:25:25,560 --> 00:25:30,280
Speaker 1: that they're the answer. This just a Jack o'bride library hater.

417
00:25:31,240 --> 00:25:35,400
Speaker 1: I told you that was an offline thought. I'm still workshopping,

418
00:25:35,640 --> 00:25:38,000
Speaker 1: so I mean, Jack, it's not like you ever see

419
00:25:38,119 --> 00:25:41,600
Speaker 1: like crowds of people hanging around a free little library,

420
00:25:42,000 --> 00:25:44,480
Speaker 1: you know, talking about the buck We have one like

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00:25:44,760 --> 00:25:47,680
Speaker 1: right next like in between our neighbor's house and our house,

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00:25:47,800 --> 00:25:50,920
Speaker 1: and it's yeah, you don't you don't see people like

423
00:25:51,640 --> 00:25:53,800
Speaker 1: hang out there, but you see people like walk up

424
00:25:53,840 --> 00:25:56,280
Speaker 1: by themselves. It gets a lot more traffic than I

425
00:25:56,320 --> 00:26:00,720
Speaker 1: would have expected. It's pretty, it's definitely useful. It's just, yeah,

426
00:26:00,760 --> 00:26:05,400
Speaker 1: people don't hang together at the at the free yard library.

427
00:26:05,880 --> 00:26:08,080
Speaker 1: It's a free yard library we got. I do want

428
00:26:08,119 --> 00:26:10,880
Speaker 1: to give a quick shout out not to Durellis here

429
00:26:11,080 --> 00:26:15,240
Speaker 1: in Atlanta and activists. Artist friend of mine named Aileen

430
00:26:15,400 --> 00:26:19,280
Speaker 1: Lloyd has created on the heels of the book banning

431
00:26:19,400 --> 00:26:22,840
Speaker 1: stuff that's happening around the country, has created a what

432
00:26:23,200 --> 00:26:27,440
Speaker 1: what she's calling a little contentious free library, which is

433
00:26:27,480 --> 00:26:32,639
Speaker 1: all banned books like that. Yeah, yeah, she's way cooler

434
00:26:32,720 --> 00:26:36,320
Speaker 1: than me. But but yeah, it's like, you know, it's

435
00:26:36,440 --> 00:26:40,440
Speaker 1: it's a real problem. If you're preventing people from being

436
00:26:40,680 --> 00:26:44,760
Speaker 1: able to encounter knowledge, you know, at a at a

437
00:26:44,880 --> 00:26:47,760
Speaker 1: formative age, then that, I don't know, Yeah, different might

438
00:26:47,880 --> 00:26:50,640
Speaker 1: different in the future. That might be the like we'll

439
00:26:50,680 --> 00:26:52,679
Speaker 1: all have to have little libraries where we give out

440
00:26:52,760 --> 00:26:57,440
Speaker 1: books that are banned elsewhere because yeah, their schools aren't

441
00:26:57,480 --> 00:27:00,760
Speaker 1: doing it in some states. So all right, let's take

442
00:27:00,800 --> 00:27:03,520
Speaker 1: a quick break and we'll come back and get into

443
00:27:03,800 --> 00:27:19,480
Speaker 1: the Taco Bell metaverse wedding. And we're back, and Taco

444
00:27:19,560 --> 00:27:24,000
Speaker 1: Bell is in the metaverse. I don't know this. So

445
00:27:24,480 --> 00:27:29,920
Speaker 1: Taco Bell held a contest where the winner, yes, the winner,

446
00:27:30,800 --> 00:27:33,520
Speaker 1: got to have their wedding in a digital Taco Bell

447
00:27:33,680 --> 00:27:36,879
Speaker 1: in the metaverse. That was what you want. That feels

448
00:27:36,920 --> 00:27:41,560
Speaker 1: like a punishment to me. But the ceremony happened at

449
00:27:41,600 --> 00:27:45,240
Speaker 1: the end of last March. But people who attended, just

450
00:27:45,800 --> 00:27:49,320
Speaker 1: I don't know, broke their media embargo. I don't know.

451
00:27:49,760 --> 00:27:54,960
Speaker 1: And it's just truly, I don't know that this story

452
00:27:55,200 --> 00:27:59,200
Speaker 1: made me feel as empty as any story we've covered

453
00:27:59,280 --> 00:28:01,320
Speaker 1: in a long time. But I did have to talk

454
00:28:01,359 --> 00:28:05,120
Speaker 1: about it. So the bride and grooms avatars faced each

455
00:28:05,160 --> 00:28:09,719
Speaker 1: other across a sacred fire. It was so the wedding

456
00:28:09,840 --> 00:28:12,800
Speaker 1: was a traditional Indian ceremony other than the fact that

457
00:28:12,840 --> 00:28:15,359
Speaker 1: it was in a taco bell In the metaverse, it

458
00:28:15,480 --> 00:28:19,359
Speaker 1: was hosted by Calpen. The bride and grooms avatars faced

459
00:28:19,400 --> 00:28:24,240
Speaker 1: each other across a sacred fire made of taco bells

460
00:28:24,320 --> 00:28:30,080
Speaker 1: signature fire sauce. See, okay, okay, all right, you're on board. No,

461
00:28:30,280 --> 00:28:33,560
Speaker 1: I look, I get it. Wait a second, I feel like, yeah,

462
00:28:33,720 --> 00:28:36,120
Speaker 1: I'm like, oh, okay, now I'm back in. I didn't

463
00:28:36,160 --> 00:28:40,560
Speaker 1: know it was Signature fire sauce. But I gotta be honest.

464
00:28:40,680 --> 00:28:45,680
Speaker 1: This um is gross, and I wish everybody like marriage

465
00:28:45,800 --> 00:28:48,120
Speaker 1: is tough, you know what I mean, Like, I wish

466
00:28:48,520 --> 00:28:52,920
Speaker 1: everybody the best of success finding your person. You know,

467
00:28:53,040 --> 00:28:56,200
Speaker 1: it's like even better than that roten Com moment with

468
00:28:56,320 --> 00:28:59,440
Speaker 1: your bag at baggage Claim, right, It's like that forever

469
00:28:59,760 --> 00:29:03,040
Speaker 1: and that's really noble and cool, and that is, for

470
00:29:03,160 --> 00:29:05,600
Speaker 1: most people, the height of romantic luck. So you're saying

471
00:29:05,640 --> 00:29:11,640
Speaker 1: this is even more than seeing your bag. Yeah, yeah, yeah, okay, yeah, okay, okay,

472
00:29:11,960 --> 00:29:15,239
Speaker 1: we're we're very statement. But okay, Bridget and I are

473
00:29:15,280 --> 00:29:24,240
Speaker 1: being paid by big checked bag, I guess right. But okay,

474
00:29:24,320 --> 00:29:27,400
Speaker 1: there's like again, you know, a good friend of mine,

475
00:29:27,680 --> 00:29:31,800
Speaker 1: actually my best friend, uh is, he's getting married pretty soon,

476
00:29:32,040 --> 00:29:36,040
Speaker 1: and he was telling me all all like how stressful

477
00:29:36,080 --> 00:29:39,640
Speaker 1: it is and how messed up in crazy planning this

478
00:29:39,840 --> 00:29:43,800
Speaker 1: thing gets. And so he and his partner they have

479
00:29:43,960 --> 00:29:46,960
Speaker 1: decided to elope, which I think is cool, you know,

480
00:29:47,120 --> 00:29:50,240
Speaker 1: cut past the nonsense and then make it their own.

481
00:29:50,360 --> 00:29:54,240
Speaker 1: So maybe for this couple it's their dreaming thing. Maybe

482
00:29:54,320 --> 00:29:58,160
Speaker 1: they were like, hey, we met it a Taco bell

483
00:29:58,400 --> 00:30:03,600
Speaker 1: or like you know the metaverse. Yeah, yeah, Gordon front

484
00:30:03,640 --> 00:30:06,400
Speaker 1: wraps are really the glue of our partnership. My problem

485
00:30:06,560 --> 00:30:09,680
Speaker 1: here is not the Taco bell theming I will say

486
00:30:09,760 --> 00:30:15,240
Speaker 1: that they but the official Taco bell, theming, the fact

487
00:30:15,320 --> 00:30:17,720
Speaker 1: that it is. I don't know, I just feel bad

488
00:30:17,920 --> 00:30:22,240
Speaker 1: for like, if you want to diminish the amount of

489
00:30:22,320 --> 00:30:27,239
Speaker 1: stress associated with an event, adding a corporate sponsor who

490
00:30:27,360 --> 00:30:33,480
Speaker 1: has notes on everything, like, it just seems like not

491
00:30:34,000 --> 00:30:36,360
Speaker 1: the not the way to go. I mean, I think

492
00:30:36,720 --> 00:30:40,920
Speaker 1: like the idea idealized version that like they pitched when

493
00:30:41,120 --> 00:30:45,360
Speaker 1: Taco Bell, you know, signed onto this idea and contest

494
00:30:46,000 --> 00:30:48,440
Speaker 1: is probably that it's like, Yeah, they just start expressing

495
00:30:48,480 --> 00:30:51,479
Speaker 1: their love and they're two couple weirdos who just love

496
00:30:51,560 --> 00:30:55,440
Speaker 1: Taco Bell. But in practice, for anyone who has been

497
00:30:55,520 --> 00:31:00,400
Speaker 1: involved with sponsored content and trying to get any amount

498
00:31:00,440 --> 00:31:07,320
Speaker 1: of art through past past corporate sponsors who have notes,

499
00:31:07,640 --> 00:31:11,880
Speaker 1: I just like, I don't know, it seems seems difficult.

500
00:31:12,040 --> 00:31:14,040
Speaker 1: I also like the fact that they keep saying that

501
00:31:14,200 --> 00:31:17,440
Speaker 1: they want a contest to become the first people married

502
00:31:17,520 --> 00:31:20,160
Speaker 1: at a Taco Bell in the metaverse, as though this

503
00:31:20,400 --> 00:31:23,920
Speaker 1: is going to be an ongoing thing that we'll be

504
00:31:24,400 --> 00:31:28,560
Speaker 1: looking back on them as the fucking George Washington's of

505
00:31:28,680 --> 00:31:31,920
Speaker 1: this thing that we all then went on to do

506
00:31:32,320 --> 00:31:36,240
Speaker 1: as a people. Yeah, I mean people do have like

507
00:31:36,560 --> 00:31:39,360
Speaker 1: really strong feelings about Taco Bell. Like I have no

508
00:31:39,480 --> 00:31:41,600
Speaker 1: trouble believing that this couple maybe met in a Taco

509
00:31:41,680 --> 00:31:44,240
Speaker 1: Bell and Taco Bell was a big part of their relationship.

510
00:31:44,600 --> 00:31:46,360
Speaker 1: And I didn't have Taco Bell for the first time

511
00:31:46,400 --> 00:31:48,720
Speaker 1: until like five years ago, so I am not in

512
00:31:48,840 --> 00:31:51,720
Speaker 1: that particular group. But yeah, we weren't allowed to eat

513
00:31:51,720 --> 00:31:53,600
Speaker 1: it when I was growing up like a weird a

514
00:31:53,680 --> 00:31:56,480
Speaker 1: weird role my mom had no Taco Bell, no mountain dew,

515
00:31:57,520 --> 00:32:00,280
Speaker 1: but all the other stuff was fine. Yeah, all fine.

516
00:32:00,760 --> 00:32:02,360
Speaker 1: I don't know why she just like had a thing

517
00:32:02,560 --> 00:32:04,680
Speaker 1: well for mountain dew. She said it was because this

518
00:32:04,880 --> 00:32:07,200
Speaker 1: is this is her words, not mine. It was quote

519
00:32:07,280 --> 00:32:11,680
Speaker 1: for white trash. We weren't allowed to drink. I think

520
00:32:11,760 --> 00:32:13,520
Speaker 1: Taco Bell might have been in the mix as well.

521
00:32:14,560 --> 00:32:18,080
Speaker 1: My family didn't encourage it. I will say that I

522
00:32:18,240 --> 00:32:21,040
Speaker 1: never went out to dinner with my family to Taco

523
00:32:21,120 --> 00:32:24,680
Speaker 1: Bell necessarily, but you know, I got it like after

524
00:32:25,280 --> 00:32:28,440
Speaker 1: you know, a game or something like if I you know,

525
00:32:28,680 --> 00:32:30,840
Speaker 1: we we just it was the thing that was open

526
00:32:30,960 --> 00:32:34,320
Speaker 1: that we could like scarf down in the fifteen minutes

527
00:32:34,600 --> 00:32:40,200
Speaker 1: we had and yeah, it's such perfect point, just like

528
00:32:40,440 --> 00:32:44,320
Speaker 1: so delicious. I don't know. They lit up something in

529
00:32:44,400 --> 00:32:48,720
Speaker 1: my brain that I have been unable to increase from there.

530
00:32:48,920 --> 00:32:51,000
Speaker 1: And the same is true of mountain dew. When I

531
00:32:51,080 --> 00:32:55,360
Speaker 1: lived in Kentucky, I became addicted to mountain dew and

532
00:32:55,680 --> 00:32:58,040
Speaker 1: have never been able to fully like I don't I

533
00:32:58,120 --> 00:33:02,160
Speaker 1: don't go frequently because of or like drink mountain dew

534
00:33:02,280 --> 00:33:07,000
Speaker 1: frequently because for self care reasons, because like if I

535
00:33:07,080 --> 00:33:08,920
Speaker 1: have a twelfth pack of mountain dew at my house.

536
00:33:09,520 --> 00:33:11,600
Speaker 1: I'm not going to be able to not drink at all,

537
00:33:12,120 --> 00:33:14,040
Speaker 1: But what if you could do it in the metaverse?

538
00:33:14,160 --> 00:33:19,320
Speaker 1: Brow Now we're talking be thank you. No, that's mountain

539
00:33:19,360 --> 00:33:23,720
Speaker 1: dew was originally slang for moonshine. That's the etymology of it. Yeah,

540
00:33:23,840 --> 00:33:26,160
Speaker 1: I haven't tried it, but I do agree with your

541
00:33:26,200 --> 00:33:31,240
Speaker 1: mom Bridget. Oh my god, actually onto something but that like, wow,

542
00:33:33,200 --> 00:33:36,280
Speaker 1: you've never tried I've never tried it. I've tried the

543
00:33:36,400 --> 00:33:41,920
Speaker 1: red kind, but I've never had regular mountain deergular, you

544
00:33:42,040 --> 00:33:45,880
Speaker 1: get the you get the overall. Yeah, wait, Ben, have

545
00:33:45,960 --> 00:33:49,560
Speaker 1: you did you say you've never tried it? M I've

546
00:33:49,640 --> 00:33:52,800
Speaker 1: never tried mountain dew. I probably this is like asking

547
00:33:52,880 --> 00:33:55,720
Speaker 1: someone if they've always been vegan. There was probably something

548
00:33:55,920 --> 00:33:59,320
Speaker 1: in the drinks. But anytime there was a mountain dew

549
00:33:59,520 --> 00:34:04,640
Speaker 1: situation Asian available, there was some other soda or something

550
00:34:04,800 --> 00:34:07,440
Speaker 1: to drink. So I would end up I would end

551
00:34:07,560 --> 00:34:10,279
Speaker 1: up going with that. And also growing up, some of

552
00:34:10,360 --> 00:34:14,040
Speaker 1: my relatives I didn't care for we're into mountain dew.

553
00:34:14,239 --> 00:34:16,600
Speaker 1: There was super into mountain dew, and I would look

554
00:34:16,640 --> 00:34:19,960
Speaker 1: at them and I would be like, better you than

555
00:34:20,040 --> 00:34:23,720
Speaker 1: me my friends. You know, so like, okay, but Taco

556
00:34:23,840 --> 00:34:26,880
Speaker 1: Bell though the appeal, the late night appeal back in

557
00:34:26,960 --> 00:34:31,520
Speaker 1: the day, you know, you got like twelve eighteen bucks.

558
00:34:32,000 --> 00:34:34,480
Speaker 1: You're high in a car following another car because you

559
00:34:34,520 --> 00:34:36,680
Speaker 1: think it's a vanity license flight. They grow into a

560
00:34:36,760 --> 00:34:40,600
Speaker 1: Taco Bell. Yeah, and then you're like, I'm living like

561
00:34:40,800 --> 00:34:44,120
Speaker 1: I am the fucking emperor of bad decisions. You know

562
00:34:44,200 --> 00:34:48,960
Speaker 1: what two case ideas grow into euros yo, you know yeah,

563
00:34:50,040 --> 00:34:53,800
Speaker 1: oh man, cheesy Gordia crunch I just discussed like Miles,

564
00:34:53,840 --> 00:34:56,280
Speaker 1: I think turned me onto it. Like I loved Taco

565
00:34:56,360 --> 00:34:59,680
Speaker 1: Bell and I wasn't even getting the best stuff growing up.

566
00:35:00,000 --> 00:35:05,040
Speaker 1: What's the good order? I mean, cheesy gord ud casady

567
00:35:05,120 --> 00:35:06,719
Speaker 1: I've always had. And then I like to get a

568
00:35:07,400 --> 00:35:10,640
Speaker 1: grilled stuffed chicken burrito with That's the healthy part of

569
00:35:10,800 --> 00:35:14,480
Speaker 1: my order. Grilled stuff chicken burrito extra grill, like put

570
00:35:14,520 --> 00:35:16,279
Speaker 1: it on the grill for a little extra time if

571
00:35:16,320 --> 00:35:18,960
Speaker 1: we don't mind. But something you could ask for that, yeah,

572
00:35:19,080 --> 00:35:23,840
Speaker 1: well done, Yeah you brito, well done. But then I'll

573
00:35:23,920 --> 00:35:27,040
Speaker 1: freelance and then of course with the biggest Baja blast

574
00:35:27,239 --> 00:35:30,759
Speaker 1: that they will allow me to carry out. You're in

575
00:35:30,880 --> 00:35:34,040
Speaker 1: deep water my friends, Like, like, I had no idea

576
00:35:34,320 --> 00:35:36,800
Speaker 1: this was a thing. So wait though, I get like

577
00:35:36,920 --> 00:35:39,759
Speaker 1: once a year at this point. But and I don't

578
00:35:39,800 --> 00:35:44,680
Speaker 1: tell my kids or my wife. Yeah, it's just like

579
00:35:44,760 --> 00:35:49,000
Speaker 1: a dark trip to under start of the night. I

580
00:35:49,160 --> 00:35:53,160
Speaker 1: turn my headlights off, dark night of the soul. Oh,

581
00:35:53,200 --> 00:35:55,480
Speaker 1: I got bridgie. He's got like a fake mustache on.

582
00:35:58,760 --> 00:36:03,239
Speaker 1: So wait though, wait though a wedding in the metaverse,

583
00:36:03,560 --> 00:36:07,520
Speaker 1: you gotta tell us these uh, these folks get married.

584
00:36:08,520 --> 00:36:11,600
Speaker 1: They were in person, right, This wasn't like a remote

585
00:36:12,040 --> 00:36:16,760
Speaker 1: like they were together. They kissed, They kissed each other's

586
00:36:16,840 --> 00:36:20,520
Speaker 1: faces like real people in love and all that stuff,

587
00:36:20,840 --> 00:36:24,680
Speaker 1: which is all like that almost makes it because then

588
00:36:24,760 --> 00:36:28,359
Speaker 1: you're like, oh, so they are really like married now,

589
00:36:28,520 --> 00:36:31,840
Speaker 1: like this was really their wedding, because like the picture

590
00:36:31,920 --> 00:36:34,720
Speaker 1: that you see of it is like two people deeply

591
00:36:34,800 --> 00:36:37,600
Speaker 1: in love kissing one another and then they're like weird

592
00:36:37,680 --> 00:36:41,400
Speaker 1: avatars and a purple like on a purple throne, like

593
00:36:41,800 --> 00:36:46,160
Speaker 1: kissing each other above. But so the vows were written

594
00:36:46,160 --> 00:36:49,440
Speaker 1: by chat GPT, so like the story seems like it's

595
00:36:49,440 --> 00:36:52,239
Speaker 1: being written by chat GPT because just like all the

596
00:36:52,360 --> 00:36:56,040
Speaker 1: stupidest buzzwords coming together here the vows were written by

597
00:36:56,120 --> 00:36:58,920
Speaker 1: chat GPT. It was within a video game, so it

598
00:36:58,960 --> 00:37:01,120
Speaker 1: wasn't even really the metaverse. But like, I don't know

599
00:37:01,160 --> 00:37:03,040
Speaker 1: how to feel about that, Like I'm not I'm no

600
00:37:03,200 --> 00:37:05,440
Speaker 1: metaverse snobs. So if they want to do it in

601
00:37:06,120 --> 00:37:09,200
Speaker 1: de CenTra Land the video game, it just seems like

602
00:37:09,239 --> 00:37:13,239
Speaker 1: it was a poorly orchestrated publicity stunt by Taco Bell,

603
00:37:13,440 --> 00:37:17,160
Speaker 1: which has to hurt a little bit when like the

604
00:37:17,280 --> 00:37:21,440
Speaker 1: big viral marketing campaign that is sponsoring your wedding, like

605
00:37:21,520 --> 00:37:23,640
Speaker 1: doesn't even put it in the real metaverse. But I don't,

606
00:37:23,640 --> 00:37:25,360
Speaker 1: I don't give a shit. But if they pay for

607
00:37:25,440 --> 00:37:27,640
Speaker 1: the wedding though, I mean, at that point, it's just

608
00:37:27,800 --> 00:37:31,520
Speaker 1: like yeah, absolutely, like that's that's great. However, but like

609
00:37:31,760 --> 00:37:34,440
Speaker 1: also the wedding in the metaverse, so like not really

610
00:37:35,000 --> 00:37:37,759
Speaker 1: sure did they I guess this is like I'm sort

611
00:37:37,800 --> 00:37:40,320
Speaker 1: of sort of breaking my brain. Did they pay for

612
00:37:40,480 --> 00:37:44,239
Speaker 1: a ceremony? I RL? Or only within the metaverse? Also

613
00:37:44,320 --> 00:37:46,800
Speaker 1: does a Taco Bell within the metaverse have employees? Like

614
00:37:47,080 --> 00:37:50,600
Speaker 1: I have a lot of questions, Yeah, yeah, I think

615
00:37:50,600 --> 00:37:53,719
Speaker 1: they have employees. One thing that we do know for

616
00:37:53,920 --> 00:37:57,280
Speaker 1: sure is that and this is my favorite point because

617
00:37:57,280 --> 00:38:00,600
Speaker 1: it's like you suspect, Okay, the core brand is going

618
00:38:00,680 --> 00:38:02,839
Speaker 1: to have some notes and ideas that they're gonna want

619
00:38:02,840 --> 00:38:05,640
Speaker 1: to implemented. The one place we got to see this

620
00:38:05,920 --> 00:38:09,760
Speaker 1: is that in addition to having cal Penn host their wedding,

621
00:38:10,360 --> 00:38:15,520
Speaker 1: they also had a twitch streamer like he who was

622
00:38:15,800 --> 00:38:18,280
Speaker 1: narrating the whole thing to the point that the guests

623
00:38:18,320 --> 00:38:22,320
Speaker 1: of the wedding couldn't hear what was happening. He a

624
00:38:22,480 --> 00:38:25,279
Speaker 1: play by play, yes, like a play by play, but

625
00:38:25,440 --> 00:38:28,160
Speaker 1: not even like he was just a twitch streamer. They

626
00:38:28,200 --> 00:38:32,400
Speaker 1: were like, here, do your thing, like had no relation

627
00:38:32,480 --> 00:38:35,359
Speaker 1: to the couple. So he's just like over the top,

628
00:38:35,920 --> 00:38:38,839
Speaker 1: keeps singing. No one so this is no one could

629
00:38:38,920 --> 00:38:41,359
Speaker 1: hear what was going on because the twitch streamer Taco

630
00:38:41,440 --> 00:38:44,799
Speaker 1: Bell hired kept singing about Taco Bell throughout the ceremony.

631
00:38:45,480 --> 00:38:50,160
Speaker 1: Legion except the O in legion is a que for

632
00:38:51,080 --> 00:38:53,399
Speaker 1: probably Q and on reasons but I have no idea

633
00:38:53,800 --> 00:38:56,759
Speaker 1: spoke through every minute of the ceremony. He shouted out

634
00:38:56,880 --> 00:39:00,400
Speaker 1: his followers and made up little songs proclaim his love

635
00:39:00,480 --> 00:39:03,520
Speaker 1: for Taco Bell as he showed off his avatar's various

636
00:39:03,680 --> 00:39:09,560
Speaker 1: outfits during the wedding. Wow he sounds like a rowdy wedding.

637
00:39:09,600 --> 00:39:11,759
Speaker 1: Guess that you have to throw out of your wedding

638
00:39:11,760 --> 00:39:15,480
Speaker 1: because they've had one too many. But like during the ceremony,

639
00:39:15,880 --> 00:39:19,160
Speaker 1: it's like, how at the ceremony? How can I make

640
00:39:19,239 --> 00:39:23,279
Speaker 1: this wedding about me? He said, you know which that

641
00:39:23,480 --> 00:39:28,400
Speaker 1: happens that he heard war stories. I you know what,

642
00:39:28,560 --> 00:39:31,600
Speaker 1: I don't want to I've never met these folks. Wish

643
00:39:31,640 --> 00:39:35,640
Speaker 1: them the best again. Yeah, at the top them, it's

644
00:39:35,719 --> 00:39:38,719
Speaker 1: just we live in Hell, all of us, and this

645
00:39:38,960 --> 00:39:43,520
Speaker 1: is amazing. And Hell is a combination Taco Bell, the

646
00:39:43,640 --> 00:39:48,560
Speaker 1: metaverse wedding chapel. Yeah, oh my gosh, what other things

647
00:39:48,600 --> 00:39:51,080
Speaker 1: you're going to happen in the metaverse? What other is

648
00:39:51,120 --> 00:39:55,960
Speaker 1: Taco Bell gonna have a funeral contest next? Like? Are

649
00:39:56,000 --> 00:39:59,560
Speaker 1: they gonna have a kincinera? Like, what's what's going on?

650
00:39:59,719 --> 00:40:02,120
Speaker 1: Who would? Who would think this is a good idea?

651
00:40:02,760 --> 00:40:04,400
Speaker 1: I want to meet the couple that steps up and

652
00:40:04,440 --> 00:40:07,520
Speaker 1: has their divorce in the metaverse. Yeah, like if you're

653
00:40:07,880 --> 00:40:11,680
Speaker 1: to be about that life, Yeah, Like they didn't look

654
00:40:11,719 --> 00:40:14,080
Speaker 1: at the by laws in the entirety of their wedding,

655
00:40:14,239 --> 00:40:18,440
Speaker 1: including like the consummation. Everything has to happen in the metaverse,

656
00:40:18,920 --> 00:40:25,400
Speaker 1: Oh my god, what if they kill Bell present narrating

657
00:40:25,520 --> 00:40:28,200
Speaker 1: all of the whole thing. Wait wait, wait though, wait

658
00:40:28,360 --> 00:40:31,080
Speaker 1: less less less question. What if what if there is

659
00:40:31,160 --> 00:40:33,200
Speaker 1: something I think you're onto someone with the fine print?

660
00:40:33,480 --> 00:40:36,840
Speaker 1: What if there is something where they cannot get divorced?

661
00:40:36,880 --> 00:40:40,239
Speaker 1: And less Taco Bell signs off right, Taco Bell like,

662
00:40:40,280 --> 00:40:44,640
Speaker 1: we don't love this for our Yeah, I wouldn't be

663
00:40:44,680 --> 00:40:47,120
Speaker 1: surprised if it was in the contract. I'd be surprised

664
00:40:47,160 --> 00:40:50,640
Speaker 1: if they upheld it if, like, I'm sure they put

665
00:40:50,680 --> 00:40:52,840
Speaker 1: it in the contract, being like, because now this is

666
00:40:52,880 --> 00:40:56,240
Speaker 1: gonna be America's sweethearts. Everyone's going to be paying attention

667
00:40:56,239 --> 00:40:58,640
Speaker 1: to the the first couple to get married in a

668
00:40:58,840 --> 00:41:02,320
Speaker 1: metaverse Taco Bell. And then now that it has happened,

669
00:41:02,360 --> 00:41:04,759
Speaker 1: and everyone's just like, oh my god, we live in hell,

670
00:41:04,840 --> 00:41:07,399
Speaker 1: they're probably like, never mind, you guys, do your thing.

671
00:41:07,800 --> 00:41:11,280
Speaker 1: But yeah, I'm sure the contract gives gives them rights

672
00:41:11,400 --> 00:41:16,000
Speaker 1: to the first two offspring from the children, you know,

673
00:41:17,200 --> 00:41:20,040
Speaker 1: or front from the wet from the marriage. All right,

674
00:41:20,600 --> 00:41:23,640
Speaker 1: so let's take a quick break and then we'll talk

675
00:41:23,640 --> 00:41:38,680
Speaker 1: about more insane news. All right, Big news, Uh, we're back,

676
00:41:38,880 --> 00:41:43,080
Speaker 1: Big News. Tiger King Joe exotic guy is running for

677
00:41:43,200 --> 00:41:47,000
Speaker 1: president from jail to remind you if you didn't watch

678
00:41:47,080 --> 00:41:51,560
Speaker 1: the whole thing or manage to like strategically forget that

679
00:41:51,680 --> 00:41:55,120
Speaker 1: you watched it, that part of the pandemic. Currently serving

680
00:41:55,160 --> 00:41:59,000
Speaker 1: twenty one year federal sentence for taking out a hit

681
00:41:59,560 --> 00:42:04,520
Speaker 1: on his rival and also for unlawfully killing at least

682
00:42:04,600 --> 00:42:09,759
Speaker 1: five tigers because he's a bad person. Yeah, I don't know.

683
00:42:10,120 --> 00:42:13,800
Speaker 1: The story is just that we talked about fractals yesterday

684
00:42:13,880 --> 00:42:17,640
Speaker 1: with our guest Baritunde Thurston, and like the idea of

685
00:42:17,800 --> 00:42:22,319
Speaker 1: like small patterns that like explode and like turn your

686
00:42:22,360 --> 00:42:25,680
Speaker 1: whole society into the thing that is happening at the

687
00:42:25,760 --> 00:42:30,000
Speaker 1: smaller level. And like this way in which I and

688
00:42:30,080 --> 00:42:34,359
Speaker 1: I don't know which came first, but like toxic narcissism,

689
00:42:34,680 --> 00:42:40,800
Speaker 1: like debilitating narcissism, like people just have their mind and

690
00:42:41,200 --> 00:42:46,120
Speaker 1: life taken over by a narcissistic personality disorder being the

691
00:42:46,360 --> 00:42:50,480
Speaker 1: cheat code to get famous. This just seems to be

692
00:42:50,640 --> 00:42:55,600
Speaker 1: like another example of that replicating itself. And I don't

693
00:42:55,640 --> 00:42:59,120
Speaker 1: know if it's just the overall conditions of social media

694
00:42:59,480 --> 00:43:04,280
Speaker 1: and the attention economy and all of that just leading

695
00:43:04,360 --> 00:43:08,120
Speaker 1: to that but it does seem like this overall sickness

696
00:43:08,239 --> 00:43:12,440
Speaker 1: we have as a civilization. It's like results in a

697
00:43:12,480 --> 00:43:16,760
Speaker 1: world where Joe Exotic is still a celebrity. Hey, George

698
00:43:16,800 --> 00:43:19,480
Speaker 1: Santos is running too, You know what I mean, they

699
00:43:19,600 --> 00:43:22,920
Speaker 1: look at me. Casino of social media is in full effect.

700
00:43:23,800 --> 00:43:28,000
Speaker 1: I imagine, I imagine Jack, that you are very divided.

701
00:43:28,920 --> 00:43:32,319
Speaker 1: Which of these two candidates most deserves your vote? Wait,

702
00:43:32,360 --> 00:43:35,560
Speaker 1: George Santos is running for president? Well, I mean unless

703
00:43:35,560 --> 00:43:41,719
Speaker 1: he's lying about it. Yeah, I mean that's such a

704
00:43:41,760 --> 00:43:44,640
Speaker 1: non sequitor. But the weirdest lie that he told is

705
00:43:44,680 --> 00:43:47,840
Speaker 1: that he was one of the producers on the Broadway

706
00:43:47,880 --> 00:43:52,080
Speaker 1: adaptation of Spider Man Turn Out the Dark. Yeah, so

707
00:43:52,600 --> 00:43:55,239
Speaker 1: it also was like what like, yeah, that production was

708
00:43:55,320 --> 00:43:57,879
Speaker 1: like a disaster. People got hurt. I think somebody got,

709
00:43:57,920 --> 00:44:00,359
Speaker 1: like one of the actors got very hurt. Why wout

710
00:44:00,360 --> 00:44:01,920
Speaker 1: you want to Why would you want to be like, Oh, yeah,

711
00:44:01,920 --> 00:44:04,000
Speaker 1: I was part of that production. I produced that Actually,

712
00:44:04,120 --> 00:44:07,120
Speaker 1: Like what, like, what a weird thing to lie about? Yeah? Oh,

713
00:44:07,239 --> 00:44:11,759
Speaker 1: I'm sorry. That's his genius. Yeah, he picks very specific

714
00:44:11,960 --> 00:44:15,320
Speaker 1: things that nobody else would lie about. Like he didn't

715
00:44:15,400 --> 00:44:19,520
Speaker 1: say he was on he said he was on Burut

716
00:44:19,600 --> 00:44:23,560
Speaker 1: College's volleyball team, which they don't have a volleyball team,

717
00:44:23,960 --> 00:44:27,120
Speaker 1: and like New York is not known for its volleyball.

718
00:44:27,239 --> 00:44:30,960
Speaker 1: So he like gets in these like little like you know,

719
00:44:31,200 --> 00:44:35,600
Speaker 1: corners where nobody would even think to look, and lies

720
00:44:35,640 --> 00:44:41,200
Speaker 1: about that. I apologize. Accuracy is important he has he's

721
00:44:41,400 --> 00:44:44,760
Speaker 1: running for reelection. I don't know if he's quite president,

722
00:44:45,360 --> 00:44:50,120
Speaker 1: just get elections. Well, you know, he knows how to

723
00:44:50,200 --> 00:44:53,480
Speaker 1: say in the new campaign. Yeah, but I I mean,

724
00:44:53,560 --> 00:44:56,560
Speaker 1: but he's no, he's no tiger king. I saw tiger

725
00:44:56,680 --> 00:45:00,640
Speaker 1: kings like most of us during the pandemic, right, and uh,

726
00:45:01,000 --> 00:45:05,279
Speaker 1: And I don't understand a lot of quote unquote reality television,

727
00:45:06,040 --> 00:45:09,000
Speaker 1: but I fucking love tigers, you know, I love animals

728
00:45:09,080 --> 00:45:11,560
Speaker 1: like that. So I'm like, oh, let's see what's happening.

729
00:45:11,920 --> 00:45:15,600
Speaker 1: I was thoroughly unprepared. It was like a later season

730
00:45:15,719 --> 00:45:19,560
Speaker 1: of Walking Dead where zombies occasionally show up and it's

731
00:45:19,640 --> 00:45:23,600
Speaker 1: mostly just regular people who are bad at communicating. And

732
00:45:23,920 --> 00:45:26,440
Speaker 1: I'm like, why don't you change the title of this

733
00:45:27,040 --> 00:45:30,799
Speaker 1: to like a guy? There are also, hey, Ben, there

734
00:45:30,840 --> 00:45:34,600
Speaker 1: are also some tigers in here occasionally, right, Like, yeah,

735
00:45:35,200 --> 00:45:39,279
Speaker 1: tiger content severely lacking and he's still locked up for

736
00:45:39,400 --> 00:45:43,719
Speaker 1: how long this guy Joe twenty something years, twenty one years,

737
00:45:43,920 --> 00:45:47,520
Speaker 1: so like well passed to the end of his first term.

738
00:45:47,840 --> 00:45:51,720
Speaker 1: I will say, yeah, he's playing to ask Liz Cheney

739
00:45:51,880 --> 00:45:54,520
Speaker 1: to be his running mate. He's also like running on

740
00:45:54,600 --> 00:45:57,799
Speaker 1: the like he's saying that, like one of his big

741
00:45:57,880 --> 00:46:03,080
Speaker 1: platforms is corruption in the Partment of Justice, which is real,

742
00:46:03,719 --> 00:46:06,200
Speaker 1: like and Trump is hitting on that too. The Department

743
00:46:06,239 --> 00:46:09,040
Speaker 1: of Justice is a complete shit show and like one

744
00:46:09,080 --> 00:46:11,480
Speaker 1: of the most toxic, like just all the FBI, like

745
00:46:11,600 --> 00:46:14,800
Speaker 1: all these things that Trump gets to be the person

746
00:46:14,920 --> 00:46:19,440
Speaker 1: who like points out it's very frustrating, but he at

747
00:46:19,520 --> 00:46:24,080
Speaker 1: least knows how to imitate the parts of I think

748
00:46:24,120 --> 00:46:27,279
Speaker 1: he kind of got forced into focusing on Department of

749
00:46:27,360 --> 00:46:31,759
Speaker 1: Justice because he is in jail and convicted of attempted murder.

750
00:46:31,920 --> 00:46:34,880
Speaker 1: But can you do that? Can you? Can you become

751
00:46:36,239 --> 00:46:41,640
Speaker 1: when you're yeah, yeah, I believe it's constitutionally permitted. I'm

752
00:46:41,640 --> 00:46:46,040
Speaker 1: going to write that down in my nose. Wasn't he

753
00:46:46,160 --> 00:46:48,600
Speaker 1: angling to get a pardon from Trump? Like he was

754
00:46:48,680 --> 00:46:50,920
Speaker 1: like yeah, he was like waiting waiting on the call

755
00:46:51,040 --> 00:46:53,279
Speaker 1: before Trump left office. I think that was like a

756
00:46:53,360 --> 00:46:55,719
Speaker 1: big part of season two or for some reason, I

757
00:46:55,840 --> 00:46:59,640
Speaker 1: have like some memory of him like waiting on a

758
00:47:00,160 --> 00:47:03,520
Speaker 1: pardon from Trump. I don't think I watched season two.

759
00:47:03,560 --> 00:47:06,839
Speaker 1: If I did, I'm very disappointed in myself. But yeah,

760
00:47:06,920 --> 00:47:08,759
Speaker 1: I remember there being like a big thing where he

761
00:47:08,880 --> 00:47:11,400
Speaker 1: was like putting all his chips on Trump was going

762
00:47:11,440 --> 00:47:14,160
Speaker 1: to pardon him, and then it didn't happen. Yeah, the

763
00:47:14,280 --> 00:47:16,879
Speaker 1: Tiger King part of the pandemic was really weird when

764
00:47:16,920 --> 00:47:20,239
Speaker 1: we were all just like glued to it. Yeah, our

765
00:47:20,360 --> 00:47:26,680
Speaker 1: collective fever dream, you know, when when everybody was incredibly

766
00:47:27,080 --> 00:47:31,319
Speaker 1: afraid with good reason. But then also, yeah, you're right,

767
00:47:31,880 --> 00:47:35,640
Speaker 1: because you're right. I remember these conversations I would have

768
00:47:35,760 --> 00:47:38,200
Speaker 1: was strangers, you know, we're all like, we're all like

769
00:47:38,400 --> 00:47:41,759
Speaker 1: massed up, so everything has like this tension because they're

770
00:47:41,800 --> 00:47:44,759
Speaker 1: looking at each other's eyes, you know. Yeah, and uh,

771
00:47:45,440 --> 00:47:48,520
Speaker 1: and then you would have these covers and Tiger King

772
00:47:48,640 --> 00:47:53,319
Speaker 1: got mentioned, yeah in in these just very short right. Well,

773
00:47:53,360 --> 00:47:56,160
Speaker 1: I mean I'm from Atlanta. We all talking to each

774
00:47:56,160 --> 00:47:59,160
Speaker 1: other constantly, you know, in any line or elevator. But

775
00:48:00,080 --> 00:48:03,920
Speaker 1: yet Tiger King and you would pointed out off air

776
00:48:04,080 --> 00:48:09,000
Speaker 1: Jack he's running as a libertarian. Yeah, libertarian with a

777
00:48:09,080 --> 00:48:13,479
Speaker 1: campaign of shutting down the IRS, assassinating Putin, and making

778
00:48:13,640 --> 00:48:17,279
Speaker 1: undocumented migrants pay fifty dollars of months to avoid deportation,

779
00:48:17,800 --> 00:48:19,880
Speaker 1: which is an idea he says he got from Billy's.

780
00:48:20,160 --> 00:48:25,560
Speaker 1: But real winner, this guy assassinating Putin. It's funny. They're like, so,

781
00:48:25,760 --> 00:48:27,680
Speaker 1: but you're you're saying you're gonna kill He's like, yep,

782
00:48:27,920 --> 00:48:32,120
Speaker 1: you quote that wherever you want. Well, does he think

783
00:48:32,200 --> 00:48:35,000
Speaker 1: this CIA is going to read that and go, oh shit,

784
00:48:35,280 --> 00:48:41,919
Speaker 1: lightbulb moment will all right, let's talk about Sesame Street

785
00:48:42,040 --> 00:48:45,480
Speaker 1: NFT is because the NFT market is exploding right now,

786
00:48:45,640 --> 00:48:49,839
Speaker 1: and we this is another edition of stock Corner Jack

787
00:48:49,920 --> 00:48:56,920
Speaker 1: stock Corner. So the NFT market is. I'm shocked that

788
00:48:57,080 --> 00:49:00,319
Speaker 1: there are still NFTs, but uh, you know, I guess

789
00:49:00,400 --> 00:49:03,120
Speaker 1: these things take a while to develop. And there is

790
00:49:03,160 --> 00:49:06,800
Speaker 1: a new sixty dollars cookie Monster NFT, the first of

791
00:49:06,840 --> 00:49:10,279
Speaker 1: a series of official Sesame Street team to NFTs, brought

792
00:49:10,320 --> 00:49:17,560
Speaker 1: to you by the letters W, T and F. These

793
00:49:17,600 --> 00:49:22,239
Speaker 1: are just hitty JPEGs, like they are just Yeah, I

794
00:49:22,360 --> 00:49:26,080
Speaker 1: don't know, I don't even know what to say about this.

795
00:49:27,280 --> 00:49:30,600
Speaker 1: Did they just announced this? Yeah, they just announced this.

796
00:49:31,160 --> 00:49:33,600
Speaker 1: I feel like, if they'd announced this last year, I

797
00:49:33,680 --> 00:49:36,040
Speaker 1: might be like, perfect sense, we wouldn't have had to

798
00:49:36,120 --> 00:49:38,279
Speaker 1: talk about it at all. I would say that, but

799
00:49:38,320 --> 00:49:40,640
Speaker 1: I would be at least like, Okay, it's kind of

800
00:49:40,719 --> 00:49:46,640
Speaker 1: in the zeguy. Sure, yeah. But so people are disappointed

801
00:49:47,040 --> 00:49:49,759
Speaker 1: in this and they're they're like, but Sesame Street is

802
00:49:50,160 --> 00:49:55,640
Speaker 1: the educational show for everyone. Why would you be charging

803
00:49:56,120 --> 00:49:58,960
Speaker 1: money for a jpeg? Like, why would you be making

804
00:49:58,960 --> 00:50:03,120
Speaker 1: a product that is the equivalent of like seventy dollars

805
00:50:03,200 --> 00:50:07,120
Speaker 1: bottled water? You know, it's just like dumb. Nobody needs

806
00:50:07,160 --> 00:50:10,279
Speaker 1: it and what what are you doing? So our writer

807
00:50:10,440 --> 00:50:13,200
Speaker 1: Jam did kind of a deep dive into the history

808
00:50:13,400 --> 00:50:17,719
Speaker 1: of funding Sesame Street, because when it was created, it

809
00:50:18,120 --> 00:50:23,480
Speaker 1: was that this idea that like we will publicly fund PBS,

810
00:50:23,800 --> 00:50:28,120
Speaker 1: Sesame Street will air on PBS and be like get

811
00:50:28,160 --> 00:50:31,800
Speaker 1: half of its budget from public funding. And then Nixon

812
00:50:31,920 --> 00:50:36,600
Speaker 1: came into the White House and was immediately he was like,

813
00:50:37,200 --> 00:50:40,520
Speaker 1: I love Sesame Street, but I can't stomach the government

814
00:50:40,719 --> 00:50:45,520
Speaker 1: funding a single dollar of this, and you know, just

815
00:50:45,640 --> 00:50:50,800
Speaker 1: attacked public PBS essentially, and they've just been having to

816
00:50:52,080 --> 00:50:57,560
Speaker 1: like struggle and grind to just get fund enough money

817
00:50:57,760 --> 00:51:01,120
Speaker 1: to keep the show afloat all of the years, you know,

818
00:51:01,200 --> 00:51:03,759
Speaker 1: they've had to like lobby, they've had to like do

819
00:51:04,160 --> 00:51:07,520
Speaker 1: DoorDash commercials. There was a Sesame Street door Dash commercial

820
00:51:07,680 --> 00:51:10,879
Speaker 1: in the Super Bowl a couple years ago that people

821
00:51:10,920 --> 00:51:15,920
Speaker 1: were like, guys, door Dash is not a good company

822
00:51:16,160 --> 00:51:19,440
Speaker 1: for you to be hanging out with, watching watching your

823
00:51:19,880 --> 00:51:23,520
Speaker 1: kids hang out with like bad I don't know, like

824
00:51:23,680 --> 00:51:26,560
Speaker 1: smoke cigarettes or something. It's like, why is Big Bird

825
00:51:27,080 --> 00:51:32,239
Speaker 1: doing hanging out with DoorDash executives. But it's been Yeah,

826
00:51:32,280 --> 00:51:36,960
Speaker 1: it's just been violating its ethical ideals for since the start,

827
00:51:37,120 --> 00:51:41,480
Speaker 1: because the Republican Party, like starting with Nixon, just has

828
00:51:41,560 --> 00:51:46,000
Speaker 1: had its crosshairs on Sesame Street because not just because

829
00:51:46,239 --> 00:51:49,160
Speaker 1: like it's not you know, the when it started, the

830
00:51:49,360 --> 00:51:52,200
Speaker 1: show's budget was eight million dollars, so it's not like

831
00:51:52,320 --> 00:51:56,320
Speaker 1: this massive government expenditure. But I think what it represents

832
00:51:56,600 --> 00:52:00,800
Speaker 1: to the Republican Party is like something and great that

833
00:52:01,080 --> 00:52:05,560
Speaker 1: was openly created from public funding and like a great

834
00:52:05,680 --> 00:52:09,239
Speaker 1: work of art that was like openly you know, it's

835
00:52:09,280 --> 00:52:12,000
Speaker 1: just like too much of a success. And so ever

836
00:52:12,160 --> 00:52:14,600
Speaker 1: since an extent, like Nuke Game, Rich also like got

837
00:52:14,640 --> 00:52:17,279
Speaker 1: in on it, and like in the nineties, was like,

838
00:52:17,320 --> 00:52:19,800
Speaker 1: we shouldn't be giving them any money because they sold

839
00:52:19,880 --> 00:52:23,799
Speaker 1: tickle me elmos so they can fund their budget as

840
00:52:23,880 --> 00:52:28,520
Speaker 1: much as they want, which just yeah, it's completely misguided.

841
00:52:28,800 --> 00:52:32,320
Speaker 1: And but but I think they're afraid of what Sesame

842
00:52:32,440 --> 00:52:37,400
Speaker 1: Street represents. And in this country, like just any beacon

843
00:52:37,760 --> 00:52:42,520
Speaker 1: of socialism is, you know, the country is allergic too

844
00:52:42,920 --> 00:52:47,280
Speaker 1: coming for libraries. Yeahs have been. Yeah, libraries and Sesame

845
00:52:47,400 --> 00:52:52,520
Speaker 1: Street the number one evils that are the threat America. Yeah. Sure,

846
00:52:52,719 --> 00:52:57,359
Speaker 1: somebody called the Tiger Gang. Let them know the real enemy, right, Uh,

847
00:52:57,680 --> 00:53:00,800
Speaker 1: But I like, Okay, so this is the thing. Sesame

848
00:53:00,960 --> 00:53:06,600
Speaker 1: Street is a wholesome kind of connecting point for a

849
00:53:06,760 --> 00:53:10,320
Speaker 1: lot of people. It's difficult to look at something like

850
00:53:10,440 --> 00:53:13,640
Speaker 1: that and vilify it. And I will say, this is

851
00:53:13,640 --> 00:53:19,440
Speaker 1: an opportunity for me to reference a weird Nixon fact

852
00:53:20,440 --> 00:53:29,800
Speaker 1: bridget Jack Psyching. I recently learned that Richard Nixon genuinely said,

853
00:53:30,360 --> 00:53:32,320
Speaker 1: I woten thought that if they're a bit of a

854
00:53:32,400 --> 00:53:35,080
Speaker 1: good rap group around in those days, I might have

855
00:53:35,200 --> 00:53:39,719
Speaker 1: chosen a career in music instead of politics. What. Yes,

856
00:53:40,239 --> 00:53:45,800
Speaker 1: he was a rap fan. He said that, you know,

857
00:53:45,920 --> 00:53:50,280
Speaker 1: he almost he heavily implies that he would have gone

858
00:53:50,320 --> 00:53:53,200
Speaker 1: into music instead of politics. I don't know what he

859
00:53:53,320 --> 00:53:56,520
Speaker 1: was listening to, but this was found in a nineteen

860
00:53:56,640 --> 00:54:02,800
Speaker 1: ninety seven tour through the Nixon Presidential Library. So was

861
00:54:02,840 --> 00:54:05,160
Speaker 1: it like something he said at the end when like

862
00:54:05,360 --> 00:54:09,160
Speaker 1: just random neurons were firing off in his dying brain.

863
00:54:09,320 --> 00:54:13,279
Speaker 1: Because it feels like he lasted long like that, we

864
00:54:13,440 --> 00:54:16,440
Speaker 1: just kind of decided that he wasn't going to be

865
00:54:16,520 --> 00:54:18,680
Speaker 1: an ex president that people paid attention to. But like

866
00:54:18,760 --> 00:54:21,880
Speaker 1: there's a photograph that always blows my mind of Nixon

867
00:54:21,960 --> 00:54:26,120
Speaker 1: and RoboCop like at the same event. Yeah, because they

868
00:54:26,200 --> 00:54:30,320
Speaker 1: were at like some boys and girls club event together,

869
00:54:30,880 --> 00:54:34,040
Speaker 1: Like it just somebody dressed as RoboCop, not the real

870
00:54:34,160 --> 00:54:37,840
Speaker 1: RoboCop everyone from the documentary. But like it seems like,

871
00:54:38,120 --> 00:54:42,520
Speaker 1: well that can't be because those like RoboCop is from

872
00:54:42,560 --> 00:54:45,439
Speaker 1: a different time period than Nixon. But he was still

873
00:54:45,480 --> 00:54:47,640
Speaker 1: around and out there and just being like I didn't

874
00:54:47,680 --> 00:54:52,279
Speaker 1: do anything wrong. I got screwed, Like yeah, yeah, it

875
00:54:52,360 --> 00:54:56,520
Speaker 1: was definitely in a big former president energy, you say,

876
00:54:57,280 --> 00:54:59,680
Speaker 1: you know I, oh, yeah, well I could have also

877
00:55:00,040 --> 00:55:03,120
Speaker 1: in awesome music. But you know, just you know, it's

878
00:55:03,160 --> 00:55:06,480
Speaker 1: not my fault. It's the world's fault. So I am

879
00:55:06,560 --> 00:55:09,800
Speaker 1: not a fan of Nixon. To be absolutely transparent about it,

880
00:55:10,120 --> 00:55:12,560
Speaker 1: it does not surprise me that he and his ilk

881
00:55:13,360 --> 00:55:19,480
Speaker 1: object to free education an inequitable, wholesome way. But also

882
00:55:19,840 --> 00:55:23,920
Speaker 1: NFTs are stupid. Can I say that one show? Okay,

883
00:55:24,160 --> 00:55:27,640
Speaker 1: absolutely not, because zeke cooin is still coming. We're still

884
00:55:27,760 --> 00:55:32,760
Speaker 1: developing it. It will be released. We're targeting a Spring

885
00:55:32,920 --> 00:55:35,960
Speaker 1: twenty twenty six launch for ze coin. It just takes

886
00:55:35,960 --> 00:55:37,719
Speaker 1: a lot. We just have a lot of notes on

887
00:55:37,840 --> 00:55:41,560
Speaker 1: the design of the JPEG, the pixel placements. Yeah, no,

888
00:55:41,680 --> 00:55:44,000
Speaker 1: of course, I mean Bridge, you know more about this

889
00:55:44,120 --> 00:55:47,880
Speaker 1: than I do. So, like, what's our NFTs? Are they

890
00:55:47,920 --> 00:55:52,800
Speaker 1: a GRIFFT? Is this something? Total scam? Yeah, total complete scam.

891
00:55:53,320 --> 00:55:56,279
Speaker 1: It's funny. I was at south By Southwest this time

892
00:55:56,400 --> 00:55:59,719
Speaker 1: last year and everything was an FT, this crypto that

893
00:56:00,480 --> 00:56:03,120
Speaker 1: that was the thing. And I'm not at south By

894
00:56:03,400 --> 00:56:05,800
Speaker 1: right now, but I've lots of friends who are and

895
00:56:06,160 --> 00:56:09,239
Speaker 1: I'm hearing that that this is like NFTs who we

896
00:56:09,280 --> 00:56:13,120
Speaker 1: don't know her, Like the quickly everybody was like maybe

897
00:56:13,200 --> 00:56:16,120
Speaker 1: not and how like it was people had like gone

898
00:56:16,239 --> 00:56:19,080
Speaker 1: all in on it just a year ago and today

899
00:56:19,120 --> 00:56:22,120
Speaker 1: it's like not a thing. Anymore a total scam. It

900
00:56:22,440 --> 00:56:24,840
Speaker 1: breaks my heart that Sesame Street has to resort to

901
00:56:25,440 --> 00:56:27,440
Speaker 1: and also resort to it and get there kind of late.

902
00:56:27,560 --> 00:56:29,920
Speaker 1: Like again, like if this has been announced last year,

903
00:56:29,960 --> 00:56:32,560
Speaker 1: I might have been like, all right, but yeah, been

904
00:56:32,640 --> 00:56:36,680
Speaker 1: to your point about the way that public television, particularly

905
00:56:36,760 --> 00:56:40,960
Speaker 1: for children, has been like scrutinized and attacked. You know,

906
00:56:41,080 --> 00:56:43,319
Speaker 1: you were like, oh, it's very wholesome. You know, they

907
00:56:43,400 --> 00:56:46,800
Speaker 1: really what could they find to be upset about the

908
00:56:47,000 --> 00:56:50,440
Speaker 1: way that folks on the right are trying to politicize

909
00:56:50,480 --> 00:56:52,560
Speaker 1: Sesame Street, to target it, to be like this is

910
00:56:52,600 --> 00:56:55,000
Speaker 1: why we need to defund it. I remember when Big

911
00:56:55,080 --> 00:56:58,600
Speaker 1: Bird got quote unquote got the COVID shot and they

912
00:56:58,640 --> 00:57:01,040
Speaker 1: were like, oh, like this is so political, and I

913
00:57:01,160 --> 00:57:04,000
Speaker 1: have to say I respected sesame Streets a stance of

914
00:57:04,120 --> 00:57:07,480
Speaker 1: being like, nope, we're just you know, amplifying what the

915
00:57:07,560 --> 00:57:10,439
Speaker 1: American Association of Pediatrics has said. It's good for kids,

916
00:57:10,480 --> 00:57:12,360
Speaker 1: and so that's what we're gonna do. The way that

917
00:57:12,480 --> 00:57:16,280
Speaker 1: Republicans continue to try to target and scrutinize and weaponize

918
00:57:16,640 --> 00:57:20,120
Speaker 1: Sesame Street precisely because it is a source of kind

919
00:57:20,160 --> 00:57:24,800
Speaker 1: of wholesome often like identity based education, for children. I

920
00:57:24,920 --> 00:57:27,240
Speaker 1: think it's really disgusting and it's sad then that they

921
00:57:27,320 --> 00:57:30,000
Speaker 1: have to resort to what is just a scam Like

922
00:57:30,200 --> 00:57:32,440
Speaker 1: NFTs are not a good investment, It is not a

923
00:57:32,480 --> 00:57:34,800
Speaker 1: good use of anyone's money. It just makes me, it

924
00:57:34,840 --> 00:57:37,320
Speaker 1: breaks my heart, and I think it really is a

925
00:57:37,440 --> 00:57:39,120
Speaker 1: testament to the fact that we do live in this

926
00:57:39,320 --> 00:57:43,480
Speaker 1: like new tech hell I guess, like like a tech

927
00:57:43,560 --> 00:57:48,240
Speaker 1: hellscape where even Sesame Street has to go the NFT route,

928
00:57:48,360 --> 00:57:51,120
Speaker 1: you know. Yeah, but Cookie Monster does look like he

929
00:57:51,200 --> 00:57:53,320
Speaker 1: wants to fuck me, right, Like that's what's happening, and

930
00:57:53,400 --> 00:57:58,360
Speaker 1: that's like, that's yeah, clearly they're like, maybe you're interested

931
00:57:58,440 --> 00:58:05,680
Speaker 1: in NFTs now. Button isn't like an NFT of Cookie

932
00:58:05,720 --> 00:58:11,400
Speaker 1: Monsters hinge profile exactly either way, Jack, you're not gonna

933
00:58:11,440 --> 00:58:13,919
Speaker 1: get all the way through, Like you're not even gonna

934
00:58:13,960 --> 00:58:15,960
Speaker 1: get through the first thirty minutes. So whatever, you guys

935
00:58:16,040 --> 00:58:20,200
Speaker 1: watch on Netflix because Cookie Monsters got a vibe there,

936
00:58:20,600 --> 00:58:23,360
Speaker 1: Oh yeah, yeah, yeah, yeah, have Flix and it's not

937
00:58:23,480 --> 00:58:26,480
Speaker 1: gonna be very chill. That's a cool timely reference, right, yeah,

938
00:58:26,520 --> 00:58:30,120
Speaker 1: Bridget very figure on the pulse, Yeah, Bridget, such a

939
00:58:30,160 --> 00:58:33,080
Speaker 1: pleasure having you as always Where can people find you,

940
00:58:33,240 --> 00:58:35,720
Speaker 1: follow you all that good stuff. Oh well, it's always

941
00:58:35,720 --> 00:58:38,760
Speaker 1: a pleasure to join the Viking. People can find me

942
00:58:38,920 --> 00:58:42,560
Speaker 1: on Instagram at bridget Marine DC, on Twitter at bridget Marine,

943
00:58:42,760 --> 00:58:46,160
Speaker 1: on TikTok at bridget pod makes pods. I think that's

944
00:58:46,160 --> 00:58:49,160
Speaker 1: what it is. Hey, I just started it, so forgive

945
00:58:49,240 --> 00:58:51,200
Speaker 1: me for how bad it is. You can listen to

946
00:58:51,600 --> 00:58:54,120
Speaker 1: my podcast There Are No Girls on the Internet, or

947
00:58:54,280 --> 00:58:56,680
Speaker 1: you can listen to my brand new podcast with next

948
00:58:56,760 --> 00:58:59,760
Speaker 1: chapter podcast called Beef, where we are getting into the

949
00:59:00,040 --> 00:59:03,200
Speaker 1: juiciest rivalries you've never heard of. Bret Hart or Bret

950
00:59:03,360 --> 00:59:07,360
Speaker 1: Hart and Shawn Michaels, Sylvester Stallone and John John Claude

951
00:59:07,440 --> 00:59:09,680
Speaker 1: van dam had a very interesting rivalry. If you're interested

952
00:59:09,720 --> 00:59:13,080
Speaker 1: in historical rivalries, check us out put on John Club

953
00:59:13,160 --> 00:59:16,360
Speaker 1: Van Damon who Stephen Sagal? Wait, No, I'm sorry, Wait

954
00:59:16,440 --> 00:59:19,680
Speaker 1: is it Stevens? Yeah? I think that's right. Step makes sense. Yeah,

955
00:59:19,720 --> 00:59:22,800
Speaker 1: they hated each other. Oh, that's right. And is there

956
00:59:22,880 --> 00:59:25,880
Speaker 1: a work of media that you've been enjoying? There is

957
00:59:26,080 --> 00:59:27,560
Speaker 1: a work of I guess I'll call it a work

958
00:59:27,600 --> 00:59:30,280
Speaker 1: of media. It's a little niche, but I had never

959
00:59:30,480 --> 00:59:35,720
Speaker 1: seen this video of Azalea Banks doing an impression of Ti.

960
00:59:36,600 --> 00:59:39,280
Speaker 1: It's so mean, but it's also the funniest thing I've

961
00:59:39,320 --> 00:59:42,840
Speaker 1: ever seen. Please look it up. Like I was dying

962
00:59:43,040 --> 00:59:47,200
Speaker 1: laughing at Azzalia Banks doing an impression of Tea Ben.

963
00:59:47,320 --> 00:59:49,080
Speaker 1: Where can people find you? Is there a work of

964
00:59:49,160 --> 00:59:52,280
Speaker 1: media you've been enjoying? Yeah, you can find me at

965
00:59:52,400 --> 00:59:56,240
Speaker 1: Ben Bulling Bowl I in on Instagram. You can find

966
00:59:56,280 --> 01:00:00,800
Speaker 1: me at Ben Bolling hsw on Twitter. Work of media

967
01:00:01,240 --> 01:00:05,280
Speaker 1: unrelated that I've been really enjoying. I got I got

968
01:00:05,480 --> 01:00:13,200
Speaker 1: super into just very low fi pov walking chilled music

969
01:00:13,280 --> 01:00:16,959
Speaker 1: tours on YouTube. So my my YouTube history is probably

970
01:00:17,040 --> 01:00:20,600
Speaker 1: quite boring right now because it's just the perfect eye

971
01:00:20,680 --> 01:00:24,960
Speaker 1: bleach of someone walking with very chilled music late at

972
01:00:25,040 --> 01:00:28,840
Speaker 1: night through very nice cities. It's delightful. I'll send it,

973
01:00:28,880 --> 01:00:31,200
Speaker 1: I'll send it. I'll send it to you guys. Yeah. Yeah,

974
01:00:31,760 --> 01:00:35,240
Speaker 1: you can find me on Twitter at Jack Underscore O'Brien

975
01:00:36,640 --> 01:00:42,160
Speaker 1: tweet I've been enjoying Sana at Fruit Lover tweeted I'm

976
01:00:42,160 --> 01:00:44,560
Speaker 1: watching Nathan for you with my mom and she keeps

977
01:00:44,560 --> 01:00:48,080
Speaker 1: asking me what's wrong with this guy? It just feels

978
01:00:48,120 --> 01:00:54,479
Speaker 1: like exactly right parent response to Nathan. You can find

979
01:00:54,680 --> 01:00:57,200
Speaker 1: us on Twitter at Daily Zeitgeist. We're at the Daily

980
01:00:57,280 --> 01:01:00,400
Speaker 1: Zeitgeist on Instagram. We have Facebook fan page and website

981
01:01:00,480 --> 01:01:03,560
Speaker 1: Daily zey Guys dot com where we post our episode's done,

982
01:01:03,600 --> 01:01:06,320
Speaker 1: our foot notes where we link off to the information

983
01:01:06,360 --> 01:01:08,920
Speaker 1: that we talked about in today's episode as well. It's

984
01:01:08,960 --> 01:01:12,320
Speaker 1: a song that we think you might enjoy. Hey, super

985
01:01:12,360 --> 01:01:15,640
Speaker 1: producer Justin is there a song that you think people

986
01:01:15,720 --> 01:01:20,080
Speaker 1: might enjoy? Yeah? The only way I can describe this

987
01:01:20,320 --> 01:01:24,960
Speaker 1: song is that it sounds like if someone smoked angel

988
01:01:25,080 --> 01:01:29,960
Speaker 1: dust and then freestyled over the Rugrats or Sesame Street.

989
01:01:30,000 --> 01:01:33,360
Speaker 1: I guess theme song in a traphouse basement. Okay, you

990
01:01:33,480 --> 01:01:36,600
Speaker 1: get in situations. Yeah, yeah, Yeah, it's very specific. But

991
01:01:36,720 --> 01:01:38,520
Speaker 1: I'm just calling it how I see it, full sits.

992
01:01:39,120 --> 01:01:41,400
Speaker 1: I think you'll agree with me. So this song is

993
01:01:41,440 --> 01:01:43,800
Speaker 1: called Jig a Dame by Maxe Cream and you can

994
01:01:43,880 --> 01:01:46,400
Speaker 1: find that song in the foot foot notes. So the

995
01:01:46,520 --> 01:01:48,720
Speaker 1: Daily Zey Guys is a production of iHeartRadio. For more

996
01:01:48,760 --> 01:01:51,040
Speaker 1: podcasts from my Heart Radio is the iHeart Radio app,

997
01:01:51,080 --> 01:01:53,360
Speaker 1: Apple podcast or wherever you list your favorite shows that

998
01:01:53,440 --> 01:01:54,959
Speaker 1: it is going to do it for us this morning,

999
01:01:55,440 --> 01:01:57,600
Speaker 1: back this afternoon to tell you what it is trending,

1000
01:01:57,760 --> 01:01:59,720
Speaker 1: and we'll talk to you all then by