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Speaker 1: Hello the Internet, and welcome to season sixty five, Episode

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Speaker 1: five of The Daily's Night Guys, the podcast where we

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Speaker 1: take a deep dive into America's share consciencele's he's in

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Speaker 1: the headlines, box office, sports, TV ratings, what's trending on Google?

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Speaker 1: And so she means It's Friday, January eighteen, two thousand nineteen.

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Speaker 1: My name is Jack O'Brien, a K Jack Bird singing

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Speaker 1: in the Dead O'Brien courtesy of Randy Travis Scott at

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Speaker 1: Christie Mean Donut, He'll always be CHRISTI Yamabuchian in my

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Speaker 1: heart and I'm thrilled to be joined as always by

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Speaker 1: my co host, Mr Miles Greg. Keeping a very low

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Speaker 1: key today, just please, I'm going back to my usual

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Speaker 1: a K experimental Japanese black and these artist give boy Kusama,

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Speaker 1: thank you so much. All right, well, my copy hasn't

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Speaker 1: kicked in. I was gonna sing Whitney Houston, but I

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Speaker 1: was not ready and I didn't want to embarrass myself

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Speaker 1: or we I get so emotional, Brady, Yeah, okay, Now

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Speaker 1: I was gonna do a bodyguard and uh and my

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Speaker 1: uh we don't just get me right, sorry, get something

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Speaker 1: for the people okay, well we are thrilled to be

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Speaker 1: doing in our thirty feed by the hilarious comedians day

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Speaker 1: Nab Johnson, I feel like I need a k a um.

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Speaker 1: What you got say? Nabs of steel, Nabs and Steel Johnson.

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Speaker 1: I'll take what's your favorite song to do with car

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Speaker 1: uh oh? I always choose either Fergy t S anybody

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Speaker 1: that's not there great of a singer. I do that

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Speaker 1: like it was Springsteen and like Johnny Cash and like

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Speaker 1: those dudes who just like they're just doing a voice,

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Speaker 1: they're not really singing. Or if you want to do

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Speaker 1: like a really good song, a big song, like I'll

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Speaker 1: do like a Whitney Houston, like I want to dance

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Speaker 1: with somebody. Now. Of course there's no way that I

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Speaker 1: can ever do that song justice, but people love it

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Speaker 1: so much they'll sing along. It's not even your carrioke, right,

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Speaker 1: you just blend in. That is kind of the hack

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Speaker 1: of picking those songs that people like. We'll have to

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Speaker 1: just start like screaming out loud along with you. My friend,

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Speaker 1: put me onto a new song that will always win.

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Speaker 1: I had a tiger. It will never fail. Yeah, alright,

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Speaker 1: well guys, uh, everybody's heard us by now. But this

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Speaker 1: Saturday night tomorrow stay up Late Night with Miles, Mr,

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Speaker 1: Andrew Lot and I at s F Sketch Fest. We

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Speaker 1: are doing the Saturday Spot. It's basically like SNL with

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Speaker 1: better cast. Get Yeah, get at us. Yeah, how about that.

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Speaker 1: I really am the Colin Jost of this podcast. I've

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Speaker 1: always I've always wanted to say that your hair don't

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Speaker 1: look that good? All right, Zay. Now we're gonna get

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Speaker 1: to know you a little bit better in a moment. First,

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Speaker 1: we're gonna tell our listeners a couple of the things

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Speaker 1: we're talking about. We're gonna talk about Dick Run Claire,

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Speaker 1: the woman who draws dicks with her running apps like

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Speaker 1: she does long runs and when you look at them

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Speaker 1: on a topographical map, they draw dis uh, so shout

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Speaker 1: out to her. We're gonna talk about an upcoming Netflix

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Speaker 1: comedy about Trump, Space Force, uh, the comeback of the

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Speaker 1: motor Roll of Razor. Just some of the biggest, most

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Speaker 1: easily refuted lies that we've ever seen in this Trump

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Speaker 1: administration have just dropped in the past three to four days.

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Speaker 1: So we're gonna talk about two of those. Michael Cohen

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Speaker 1: trying to get the world to believe that he is

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Speaker 1: a snack. And we're gonna talk about the fact check

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Speaker 1: culture around the left, how fact checkers sometimes have a

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Speaker 1: right leaning bias. But first today, Now, what is something

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Speaker 1: from your search history that's revealing about who you are? Oh?

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Speaker 1: Probably food? Food, just the word food. Okay, So right

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Speaker 1: now in my search history is Julie and Julia Brischetta. Yeah.

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Speaker 1: I was on a plane and I watched that movie.

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Speaker 1: You know some movies I'll only see on planes, um,

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Speaker 1: and that one was one of them. And she made

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Speaker 1: a bruschetta. I don't even like bruschetta. Bruschetta is like

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Speaker 1: the most unappetising thing usually at a restaurant, saggy bread,

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Speaker 1: which is like flavorless tomatoes. It's just like you know

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Speaker 1: about it. Yeah, by the time, yeah, by the time

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Speaker 1: you put it to your mouth, the tomatoes have already

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Speaker 1: fall off the bread. It's just like, why why didn't

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Speaker 1: pay nineteen dollars for this? Um? But in this film

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Speaker 1: she made a bruschetta I've never seen before in the way.

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Speaker 1: Her love interest, I can't remember his name, but he

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Speaker 1: was on a minty project. Um. He ate the bruschetta

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Speaker 1: like it was I can't even it was like an orgasm,

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Speaker 1: and yeah it was. It was fantastic. Her performance was

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Speaker 1: like an orgasm or just I'm eating at the bike. Yeah,

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Speaker 1: so much so that when I put I didn't even

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Speaker 1: have to finish it. I put Ju in my search

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Speaker 1: history and it finished it for me. It finished the

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Speaker 1: entire thing. And like thousands of rest that these came up,

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Speaker 1: what's the difference in it? Then there's probably no difference

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Speaker 1: except that that movie managed to make it look like

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Speaker 1: the most appetizing bruschetta there ever is possible. Like with Madmen,

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Speaker 1: everybody got John Ham to be the voiceover for their brand,

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Speaker 1: like this, they need to get the Mindy Project dude

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Speaker 1: to just eat their food onto. It was like like

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Speaker 1: that looks like if like I hope that I wasn't

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Speaker 1: making too much noise on the plane because I had

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Speaker 1: my headphones in, but I was like the air marshals

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Speaker 1: like being like I need to see it's like yeah,

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Speaker 1: him and any commercials selling like oh god about like

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Speaker 1: uh and then after that it's probably like my search

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Speaker 1: engine probably has like um uh web MD, Like I

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Speaker 1: mean I'm always like what you know, like what what

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Speaker 1: is it? When your finger hurt, like I can go

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Speaker 1: everything you know can too many eyelashes fall out? Like

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Speaker 1: it's just really yeah, stop using exactly was weird man?

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Speaker 1: They started like giving people weird never actually changed the

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Speaker 1: color of your eyes, like people's pigment in the like

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Speaker 1: color part of your eye which iris iris would like

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Speaker 1: get black in it from Latiste. It was real weird

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Speaker 1: what you look like West Borland. Yeah, I mean you

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Speaker 1: don't think these lashes come naturally, do you know? I

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Speaker 1: don't know they know? What is something you think is underrated? Underrated?

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Speaker 1: I think teachers are underrated? Yah, yeah, I think teachers

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Speaker 1: are underrated. Um, it's just a shame because it's like

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Speaker 1: that's a good teacher. Let's say a good teacher is

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Speaker 1: underrated because I mean, wherever you end up in life,

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Speaker 1: like your foundation is is a teachers, Like it's it's

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Speaker 1: a necessity. And we they're so neglected and they're so

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Speaker 1: undeserved and it's just it's really bad. I don't mean

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Speaker 1: to be serious, No, No, we're just talking about the

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Speaker 1: strike earlier. Yeah, I mean and they're out there striking

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Speaker 1: and like the rain and I mean not that that's

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Speaker 1: you know, there's worse things that can happen. But I

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Speaker 1: just think it's it's just ridiculous. I used to be

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Speaker 1: a teacher and it's awful. I taught math, I taught science,

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Speaker 1: I taught and then when I moved to l A,

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Speaker 1: I taught uh sort of like improv and theater. Yeah, yeah, yeah,

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Speaker 1: it's just weird. It's it's a shame though too, because people,

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Speaker 1: you know, from the state or the administrators side, they

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Speaker 1: act like what teachers are asking for is yes, and

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Speaker 1: this time around, like usually teachers are asking for a

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Speaker 1: higher pay, they're asking for something that like directly sort

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Speaker 1: of kind of services them. But this strike is totally

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Speaker 1: like resources for the students, like like you know, the

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Speaker 1: basic needs for the students. You're shipping all this money

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Speaker 1: to charter schools, and it's like you're neglecting these public

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Speaker 1: schools right now, you know, like we have classes that

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Speaker 1: are too big, right, And then you want to act like,

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Speaker 1: oh's just gonna bankrupt the district. Yeah come on now. Yeah.

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Speaker 1: Somebody once suggested to me that I spend money for

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Speaker 1: a work thing and then get reimbursed for it like

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Speaker 1: a while later, and I was like, I thought that

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Speaker 1: was the most absurd thing I had ever, Like you

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Speaker 1: have expenses, but like it was like a lot, like

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Speaker 1: I would have to like pay with a check and

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Speaker 1: then like it was like a very like putting you

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Speaker 1: out for like having a lot of money taken out

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Speaker 1: of your bank account for a big chunk of time.

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Speaker 1: And like I was like, that is the most insane thing.

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Speaker 1: Teachers spend their own money. They don't get reimbursed. They're

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Speaker 1: constantly spending their own money just to make their classroom

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Speaker 1: a better place to learn. But also this is how

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Speaker 1: underrated they are, especially in the society. I watched the

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Speaker 1: news conference last week on CNN. They went off like

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Speaker 1: forty minutes about a little girl they had been found

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Speaker 1: and like Wisconsin or Minnesota or something like that. And

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Speaker 1: it's like, not that I'm not happy that that little

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Speaker 1: girl was found. All I'm saying is a little girl

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Speaker 1: emerging and was content. Is not forty minutes national news

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Speaker 1: coverage a teacher strut. It's like I'm seeing nothing right

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Speaker 1: and I'm not even seeing it on local news. Really,

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Speaker 1: do you know? That's how underrated And I think that's

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Speaker 1: where the mainstream media plays. It's part to not sort

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Speaker 1: of upset the status quo of certain things, right, because

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Speaker 1: it's suddenly like that would make you know, that would

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Speaker 1: make more people aware of the fact that the legislature,

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Speaker 1: the legislatures and state legislators are not doing their jobs

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Speaker 1: correctly and things like that, and it up ends like

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Speaker 1: there's so much money being spent, like lobbying on behalf

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Speaker 1: of charter schools and things like that, and that's where

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Speaker 1: you kind of see how the coverage kind of dictates, well,

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Speaker 1: let's look, this is a feel good story. We don't

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Speaker 1: want to get people to like up in arms about

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Speaker 1: the state of the education system because I don't know,

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Speaker 1: like I guess people have been ignoring that it's just

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Speaker 1: been on a decline exactly thirty years, and I think

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Speaker 1: I think it's just easier. They're like, well people don't no, no,

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Speaker 1: but they just the media is like, well, people don't

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Speaker 1: care about that. They care about the girl who's missing

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Speaker 1: in the woods. But like it's like, well, that's your job,

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Speaker 1: your story making the care. Cardi B Is on Instagram

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Speaker 1: being like, you know what I mean, I was impressed too.

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Speaker 1: She's made a point. Yeah, hell yeah, Cardi man, see

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Speaker 1: she gets it. And that's that's one of the reason

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Speaker 1: why I think she's so likable was like, she uses

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Speaker 1: her platform and like says stuff she doesn't like. She's

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Speaker 1: not out here acting like she's an expert or anything,

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Speaker 1: but she does. She can look at what the situation

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Speaker 1: is and say this is not acceptable. What are we doing?

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Speaker 1: She was like, I don't know the solution, but yeah,

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Speaker 1: this ship is crazy. What is something you think is overrated?

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Speaker 1: A lot of subscribers on social media, followers like having

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Speaker 1: a following. Yeah, yeah, I think I think it's I

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Speaker 1: think it's overrated. Then that's not to take away anything

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Speaker 1: for me anybody that has a lot of followers. My

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Speaker 1: following keeps growing and I aspired for it to do so.

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Speaker 1: But I still know it's underrated. I don't I mean overrated.

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Speaker 1: I don't think that. First of all, your the quantity

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Speaker 1: of followers that you have does not make your lives

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Speaker 1: on social media anymore true. Um Also, it doesn't make

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Speaker 1: you any more talented, It doesn't make you anymore nice.

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Speaker 1: I just think that, And we've also seen with television

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Speaker 1: and movie executives and things that it doesn't always most

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Speaker 1: times doesn't even translate into the dollars and cents or

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Speaker 1: the success on another platform or another you know platform, Yeah, yeah,

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Speaker 1: another medium. Yeah, it just doesn't even translate a lot

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Speaker 1: of times the way that they think it is. So

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Speaker 1: it's it's it's totally overrated. Yeah yeah. Well, and also

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Speaker 1: like there are people who put a lot of stock

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Speaker 1: in they're like puffing their chests up, being like why

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Speaker 1: have one million followers? And it's like sure, but that's

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Speaker 1: just such a not a very concrete method of trying

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Speaker 1: to measure your influence or your morality or your talent,

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Speaker 1: because I mean, you can be the guy who was saying,

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Speaker 1: like why do I have to appollis for being white?

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Speaker 1: You know, and then he got a ton of followers,

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Speaker 1: but that's just because you were the culture war topic

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Speaker 1: Jo and that's how you got there. And a lot

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Speaker 1: of people it's like it's like it's the person that

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Speaker 1: has the followers. And it's also the behavior of people

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Speaker 1: who have judgments on people who have or don't have followers.

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Speaker 1: Like I've heard plenty of people say I'm not listening

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Speaker 1: to where you have two hundred followers, I'm not listening

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Speaker 1: to you. It's like that doesn't make that's that's not

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Speaker 1: the marker of if what they're saying is valid or not.

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Speaker 1: You hear what they're saying and then decide to your

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Speaker 1: own intelligence and experience if what they're saying is valid.

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Speaker 1: I'm sure you could go right back to that person

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Speaker 1: be like, well, what about when you didn't have anything.

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Speaker 1: I'm sure you thought everybody owed you their time. With

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Speaker 1: that said, followed me on what's your follow what's your

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Speaker 1: following account at uh seventeen point five thousands? Okay, wow,

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Speaker 1: I didn't know we had realty by the little you can,

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Speaker 1: but I love every single one of it. You can

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Speaker 1: buy a thousand Twitter followers for fourteen dollars. You can

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Speaker 1: buy four bucks fourteen bucks. You can buy a million

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Speaker 1: for one tho. Wow. Should we just go flagrant on

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Speaker 1: the day account and be like, yo, this thing has

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Speaker 1: I mean they're they're ways, like there are ways that

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Speaker 1: it will be the obvious that those are bought. But

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Speaker 1: at the same time, like Netflix just had that bird

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Speaker 1: box thing where they had all these like bot accounts

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Speaker 1: that were like the bird box meme and it started

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Speaker 1: a thing. So, I mean, Twitter is very easy to manipulate.

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Speaker 1: Social media is very easy to manipulate, which is why

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Speaker 1: you should not put your true any true valuing right

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Speaker 1: right right, and also like exactly when you want to

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Speaker 1: be like I think I need to buy followers, Like no,

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Speaker 1: you've already lost the game because it doesn't matter. Your

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Speaker 1: life exists outside of the phone or laptop screen you're

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Speaker 1: looking at. Exactly now, I'm going to go buy some followers. Actually,

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Speaker 1: remember when Instagram pursed all those people and like, like

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Speaker 1: we found out a lot of celebrities were into some

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Speaker 1: like like I think mace lust, like a mace All right,

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Speaker 1: you were buying those? Uh huh. Finally, what is a myth?

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Speaker 1: What's something people think it is true? You know to

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Speaker 1: be false. I don't know it to be false. But

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Speaker 1: I think that there is a cure for cancer. Okay,

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Speaker 1: what was that? Why were you looked at me like,

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Speaker 1: oh no, no, I was that? Just not what I

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Speaker 1: was expecting. But you think there's a cure for cancer

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Speaker 1: that we just have not. So here's so, so here's okay,

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Speaker 1: So do you guys watch Family Guy. There's this amazing

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Speaker 1: episode on Family Guy where peuter Schmidt, which is which

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Speaker 1: is a rich guy on the show. Um, it's like

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Speaker 1: has this safe and he's guarding this thing and then

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Speaker 1: Brian and Stewie break in and they're like, what are

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Speaker 1: you hiding in here? And it turns out that it's

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Speaker 1: the cure for cancer, and they're like, oh, you have

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Speaker 1: the cure for cancer. Why don't you just releasing He's like, no,

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Speaker 1: there's so much more money in treating it versus the cure.

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Speaker 1: And so it was a very little It was a

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Speaker 1: very funny statement that the team at Family Guy made.

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Speaker 1: But I was just like, that makes a lot of

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Speaker 1: sense to me. I can get on board with that

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Speaker 1: how big Farma operates. Yet it's more profitable to have

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Speaker 1: people who need medication. You can sell medication, which is

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Speaker 1: why you sell food also pumped with things that only

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Speaker 1: cause can't like it's like a cycle, you know. I

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Speaker 1: feel like I'm supposed to be funny on his podcast,

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Speaker 1: and every single thing I said, no, no, no, no,

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Speaker 1: this is the most mild take. Also, I learned from anywhere,

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Speaker 1: So if I quote things like Family Guy or or those,

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Speaker 1: every everything is a recently we are the daily That

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Speaker 1: is perfectly in line with Because aren't there like a

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Speaker 1: lot of cancer treatments that they won't allow in the US. Yeah,

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Speaker 1: what's the reason for that? I think it's it's none.

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Speaker 1: They don't they don't make money off of it. Also

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Speaker 1: think some of it is like trying to be protective

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Speaker 1: and like just not wanting to well they only wanted

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Speaker 1: or not open themselves up to lawsuits or something. Yeah. Yeah,

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Speaker 1: but I mean the reality is you can do chemo

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Speaker 1: and you can still die chemo, but still but still

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Speaker 1: chemo is by law what doctors have have to recommend

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Speaker 1: when you have certain illnesses, cancer being one of them.

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Speaker 1: Do you get what I'm saying, But probably most doctors

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Speaker 1: would not if they were diagnosed with cancer, would not

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Speaker 1: give themselves chemo because they know how dangerous did it?

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Speaker 1: They know how depleting it. Well, yeah, and I mean

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Speaker 1: back in the day too, Like I've had family friends

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Speaker 1: who had like chemo, like in the seventies and the

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Speaker 1: chemo was so strong it caused cancers. Yeah, because because

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Speaker 1: that's the thing that people don't really talk that much about.

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Speaker 1: But when you have chemo, it opens you up to

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Speaker 1: a risk of cancer because it is a cancer causing thing.

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Speaker 1: It's just basically zapping the cancer cells so hard that

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Speaker 1: they die. But it's just basically like yeah, but you're

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Speaker 1: only going to be around for another twenty years, so

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Speaker 1: you might just miss the train on that one, right. Yeah, well,

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Speaker 1: I mean we read like I feel like every month

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Speaker 1: there's always some kind of breakthrough, So I I you

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Speaker 1: would think that at the very least there will be

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Speaker 1: some kind of true breakthrough that is like very very

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Speaker 1: readily available to people. Yeah. I've read something about the

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Speaker 1: kind of hunt for a cure for cancer, and it's

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Speaker 1: a lot of there's so many different types of cancer

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Speaker 1: that the cures, like some cancer has been cured and

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Speaker 1: some cancer you know, it's just like the protocol. There's

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Speaker 1: there's a lot of different But yeah, I've also read

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Speaker 1: doctor saying that chemo is like in thirty years, people

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Speaker 1: are gonna be like, wait, you just irradiated people and

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Speaker 1: like poisoned them to kill the cancer. That that's going

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Speaker 1: to seem crazy Like down the road, Hey, well, so

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Speaker 1: is Donald Trump's president? Right, Well, let let's talk about

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Speaker 1: important news. I mean, so, I'm so sorry to cut

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Speaker 1: you off, but I mean, listen, we can look back

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Speaker 1: and see that like people were dying from diarrhea that

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Speaker 1: doesn't happen today, you know. So it's like I think

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Speaker 1: as we advanced, we'll look back at a lot of

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Speaker 1: things like yeah, no, sucking through your teeth. Yeah, I

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Speaker 1: see what you guys are doing. Yeah. This past episode

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Speaker 1: of This American Life, I were Glasses talking about how

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Speaker 1: his grandmother suffered from like her face was basically like

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Speaker 1: had holes in it the whole time he knew her.

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Speaker 1: And it was because when she was a teenager, her

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Speaker 1: acne treatment was they just zapped her acne with an

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Speaker 1: X rays. Oh my god, and it actually worked, like

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Speaker 1: she had great skin for her twenties, but then she

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Speaker 1: like had huge what are called rodent ulcers on her

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Speaker 1: face because it looks like a rodent is like eating

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Speaker 1: away at your face. First of all, what yes. Second

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Speaker 1: of all, the nickname rodent because it looks like a rat. Bitch.

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Speaker 1: Doctors used to be so mean and be like, hey,

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Speaker 1: you know what you kind of look like man like

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Speaker 1: man your face. Oh, that's what we call it rat face,

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Speaker 1: which means you have had to see a face that

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Speaker 1: was eating bar rats even no, Like, well, I grew

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Speaker 1: up in New Orleans, so alright, like I was saying,

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Speaker 1: we do need to get two important stories. The world

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Speaker 1: has been introduced to Dick run Claire. She's a woman

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Speaker 1: who draws dicks. On the largest scale possible with her

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Speaker 1: run paths. Her running paths, Uh, these vary from you know,

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Speaker 1: kind of curvey dicks to three fingered hands holding dicks,

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Speaker 1: but they're Yeah. The one that looks like someone is masturbating, Yeah,

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Speaker 1: that was pretty good. Uh you know, look it looks

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Speaker 1: like an art It looks like a Simpson's character is

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Speaker 1: masturbating because they only have three fingers. Yeah, you're na

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Speaker 1: okay as soon as that four. Yeah. But the producer

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Speaker 1: Anna Josie, he brought us to our attention right before

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Speaker 1: we started recording, and I just you know, it's breaking

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Speaker 1: news because there was like, I feel like there was

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Speaker 1: another one years ago. There's like a guy I who

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Speaker 1: would like like right out, I love you to his

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Speaker 1: wife or something. Yeah. We've seen like versions of this

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Speaker 1: where people are using like those, but this is no

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Speaker 1: I'm serious. I mean, look more weird. One looks like

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Speaker 1: what's that gooey duck? Right? Yeah, there's a there's varied,

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Speaker 1: varied shapes and forms. So but she she claims that

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Speaker 1: through years of experience, she has now been able to,

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Speaker 1: like when she's mapping out her run, she can like

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Speaker 1: spot a penis in like the shape of streets and

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Speaker 1: be like, oh, that's perfect. I can carve out the

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Speaker 1: matrix and carve dick out of that thing, no problem.

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Speaker 1: Also the good like does she have to do ways

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Speaker 1: or she just knows, like because some of these are

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Speaker 1: pretty elaborate, that she'd be like, okay, left here. There

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Speaker 1: are apps like I think she's using the Nike Running

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Speaker 1: app and that like ingests pretty detailed maps from aw

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Speaker 1: you can just carve out what you're Yeah, you can

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Speaker 1: figure out what you're gonna do, and I might start running,

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Speaker 1: but you you can also be checking as you not

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Speaker 1: have time. Man, I'm out here trying to run these dicks.

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Speaker 1: I thought she would have to run feel really far

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Speaker 1: to carve out a dick. But yes, some of these

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Speaker 1: are some of them are just like a mile. Yeah,

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Speaker 1: I bet. Yeah, I'm gonna try this actually on my

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Speaker 1: running kind of like Florida too, right, Yeah, that's true.

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Speaker 1: Handhandle for that is. One of the weirdest things about

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Speaker 1: nature is how many things look like dicks all over

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Speaker 1: the place, and a lot of the stuff that looks

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Speaker 1: like dicks are things that man has sort of genetically modified,

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Speaker 1: like corn on the cob. When we first got corn,

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Speaker 1: it was just like two kernels at the end of

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Speaker 1: like a long stem. But then man like genetically modified

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Speaker 1: it to look like a giant dick with corn all

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Speaker 1: over it. That's man doing that. There you go. Yeah, yeah,

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Speaker 1: a lot of these look like Oklahoma too, you know

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Speaker 1: what I mean. Yeah, I guess you can start just

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Speaker 1: calling the panhandle like the cock shaft, Yes, the Oklahoma

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Speaker 1: cock shaft. Yeah, Oklahoma would be a very strangely shaped cock. Yeah.

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Speaker 1: That would be like there would be some kind of

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Speaker 1: gigantism or something happened in the scrotum. Yes, but anyway,

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Speaker 1: we're not doctors. How many Dick Run Claire have? She

401
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Speaker 1: needs more? I think if she doesn't have as many

402
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Speaker 1: as the president, that's proof of your thesis that social

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Speaker 1: media doesn't matter. Uh. So, there is a movie coming

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00:22:20,440 --> 00:22:26,679
Speaker 1: from Netflix, speaking of the President about series series A series. Yes, okay,

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Speaker 1: my bad, I'm sorry, just just to hop in really quick,

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Speaker 1: Dick Run Claire has, Actually you have more followers than

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Speaker 1: sixteen point five. Get your numbers up, Claire. I don't

408
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Speaker 1: even know what we're talking about her. Okay, anyway, Sorry,

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Speaker 1: So there is Speaking of the President. There is a

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Speaker 1: comedy series coming about his Space Force. Yeah, from Greg

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Speaker 1: Daniels and Steve Carrell. Now they were the show, well

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Speaker 1: Greg Daniels was the main show runner and then Steve Carrell.

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Speaker 1: Eventually they became head hancho there too. But these are

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Speaker 1: the people really behind the US Office are now giving

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Speaker 1: us a show which Netflix describes it as a workplace

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Speaker 1: comedy centered around the people tasked with creating a sixth

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Speaker 1: branch of the Armed Forces. Uh so this sounds like

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Speaker 1: something that's in their wheelhouse, a workplace comedy, like with

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Speaker 1: some kind of really bumbling task that feels like what's

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Speaker 1: the point of it all? Like a company Yeah, just

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Speaker 1: shipped coming down from on High and the on High

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Speaker 1: is just governed by somebody with a adult toddler's brain

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Speaker 1: on adderall like that is going to be crazy anything

424
00:23:34,600 --> 00:23:37,040
Speaker 1: Greg Daniels and Steve Carrell. I am on BO. I

425
00:23:37,119 --> 00:23:39,880
Speaker 1: think that they are a dynamic team. Yeah. I think

426
00:23:39,880 --> 00:23:41,520
Speaker 1: that I'm trying to be content. I don't want to

427
00:23:41,560 --> 00:23:43,440
Speaker 1: seem like I'm secking up because I'm on a Greg

428
00:23:43,480 --> 00:23:48,160
Speaker 1: Daniels show, right, are you go? She's on the show, Well,

429
00:23:48,440 --> 00:23:51,679
Speaker 1: not this show, but show. But no, I think that

430
00:23:51,760 --> 00:23:54,479
Speaker 1: they're so smart comedically. I think that they're great. I

431
00:23:54,520 --> 00:23:57,760
Speaker 1: think that to find fun and what is the dysfunction

432
00:23:57,960 --> 00:24:00,760
Speaker 1: of our political lives right now is I think that

433
00:24:00,800 --> 00:24:02,240
Speaker 1: this is a great team to do it. Not to

434
00:24:02,240 --> 00:24:05,160
Speaker 1: mention there's so much talk about like, oh, people buying

435
00:24:05,200 --> 00:24:07,800
Speaker 1: property on Mars now and you know, and going into

436
00:24:07,880 --> 00:24:09,960
Speaker 1: space and all that type of stuff. I just feel

437
00:24:10,000 --> 00:24:14,280
Speaker 1: like it makes sense. Yeah, totally, And I think it's underrated.

438
00:24:14,359 --> 00:24:16,840
Speaker 1: Like for a show that talks about the zeitgeist, we

439
00:24:16,920 --> 00:24:20,040
Speaker 1: probably don't talk enough about the American Office because that

440
00:24:20,040 --> 00:24:23,399
Speaker 1: show is just for an entire generation that is like

441
00:24:23,520 --> 00:24:25,640
Speaker 1: the show. I feel like that I'm one of those

442
00:24:25,640 --> 00:24:28,320
Speaker 1: people who will watch it on loop. I'll watch it

443
00:24:28,359 --> 00:24:31,120
Speaker 1: on a loop all the time. And I still I'm

444
00:24:31,119 --> 00:24:35,600
Speaker 1: still emotionally affected by what's emotional in the show, Like

445
00:24:35,640 --> 00:24:37,159
Speaker 1: I've never seen it, Like I don't know what's going

446
00:24:37,200 --> 00:24:41,959
Speaker 1: to happen. It's a phenomenal show. Yeah most what second

447
00:24:41,960 --> 00:24:45,600
Speaker 1: most watched on Netflix? I think so? But behind Friends? Yeah,

448
00:24:47,600 --> 00:24:51,280
Speaker 1: Get five TV Serius. Oh yeah, when NBC Universal gets

449
00:24:51,320 --> 00:24:53,960
Speaker 1: there's ye that it's apparently going to have ads on

450
00:24:54,000 --> 00:24:58,359
Speaker 1: it though, so maybe they'll uh didn't they raise the

451
00:24:58,359 --> 00:25:02,320
Speaker 1: price recently for Netflix? Like it's maybe. I know they

452
00:25:02,400 --> 00:25:04,400
Speaker 1: raised it two bucks every time a little bit. It's

453
00:25:04,440 --> 00:25:10,080
Speaker 1: like two years and I'm like, oh, she wemin thirty hone. Yeah,

454
00:25:10,280 --> 00:25:14,160
Speaker 1: we're all frogs in the boiling Netflix put. Yeah, yeah,

455
00:25:14,359 --> 00:25:16,440
Speaker 1: all right, we are going to take a quick break.

456
00:25:16,480 --> 00:25:30,800
Speaker 1: We'll be right back, and we're back. And so we

457
00:25:31,000 --> 00:25:36,439
Speaker 1: have goblin king Rudy Giuliani talking today about so his

458
00:25:36,520 --> 00:25:38,959
Speaker 1: catchphrase for most of this year was there's no collusion,

459
00:25:39,080 --> 00:25:45,159
Speaker 1: zero collusion. There's nothing. We're working with the Russians. Yeah, yeah,

460
00:25:45,280 --> 00:25:50,400
Speaker 1: obstruction of justice, whatever, but there's no collusion. And yesterday

461
00:25:50,720 --> 00:25:53,720
Speaker 1: he came out and said there may have been collusion,

462
00:25:54,840 --> 00:25:57,600
Speaker 1: but it wasn't the president. The president didn't know about

463
00:25:57,600 --> 00:26:01,560
Speaker 1: it specifically. Yeah. Well, I mean again him doing his

464
00:26:02,000 --> 00:26:04,840
Speaker 1: or yeah, demonstrating his greatest skill, which is just admitting

465
00:26:04,880 --> 00:26:07,400
Speaker 1: to crimes to get ahead of things. Yeah, so I guess.

466
00:26:07,880 --> 00:26:12,040
Speaker 1: I mean Chris Cuomo was equally gobsmacked when he tried

467
00:26:12,080 --> 00:26:14,480
Speaker 1: to put out this new line of defense. I never

468
00:26:14,480 --> 00:26:17,880
Speaker 1: said there was no collusion between the campaign or between

469
00:26:17,920 --> 00:26:22,600
Speaker 1: people in the campaign. I have no idea. I have not. Okay, wait,

470
00:26:22,880 --> 00:26:24,919
Speaker 1: because first he's like, yeah, there's probably collusion, but then

471
00:26:24,920 --> 00:26:26,760
Speaker 1: he said but then again, I never said there was.

472
00:26:27,240 --> 00:26:31,000
Speaker 1: Miles was conducting a really interesting experiment earlier where he

473
00:26:31,080 --> 00:26:35,280
Speaker 1: was pausing that appearance by Rudy Giuliani, and it's impossible

474
00:26:35,400 --> 00:26:37,760
Speaker 1: to pause it and not have a hilarious image of

475
00:26:38,080 --> 00:26:42,960
Speaker 1: Rudy Giuliani. Like his facial expressions are wise dynamic to

476
00:26:42,960 --> 00:26:45,399
Speaker 1: say the least. But again to his claim that he

477
00:26:45,440 --> 00:26:49,080
Speaker 1: never said this, might I show you a clip from

478
00:26:49,119 --> 00:26:52,080
Speaker 1: when he was on Hannity. You know, just last year.

479
00:26:52,480 --> 00:26:57,560
Speaker 1: Russian collusion is a total fake news. Is a total

480
00:26:57,600 --> 00:27:01,000
Speaker 1: fake Unfortunately, it has become the base of of the investigation,

481
00:27:01,760 --> 00:27:05,440
Speaker 1: and Mueller owes us a report saying the Russian collusion

482
00:27:06,240 --> 00:27:09,200
Speaker 1: means nothing, it didn't happen. I never said there was

483
00:27:09,240 --> 00:27:13,120
Speaker 1: no collusion between the camp or between people in the campaign.

484
00:27:14,119 --> 00:27:19,680
Speaker 1: Uh wow, yeah, you know, this is the thing he does.

485
00:27:19,880 --> 00:27:22,720
Speaker 1: Collusion is a fake news. It is a fake news.

486
00:27:22,960 --> 00:27:25,600
Speaker 1: We all know that it is a fake news. But

487
00:27:25,840 --> 00:27:27,840
Speaker 1: this is the thing that he's been doing over the

488
00:27:27,920 --> 00:27:31,440
Speaker 1: last year and a half, roughly, like just to get

489
00:27:31,440 --> 00:27:33,119
Speaker 1: out in front of stuff. Like suddenly he was like,

490
00:27:33,160 --> 00:27:35,560
Speaker 1: oh yeah, we paid Stormy Daniels, right. I was like, wait,

491
00:27:35,600 --> 00:27:39,240
Speaker 1: what the fun Just a second ago you said there wasn't.

492
00:27:39,480 --> 00:27:41,200
Speaker 1: And I think this is a tactic that is done

493
00:27:41,240 --> 00:27:44,520
Speaker 1: to move the goalposts a little bit and make it

494
00:27:44,640 --> 00:27:47,800
Speaker 1: so that it takes the sting off when these revelations dropped.

495
00:27:47,800 --> 00:27:49,959
Speaker 1: So I don't know if this, like, does that mean

496
00:27:50,080 --> 00:27:53,560
Speaker 1: Robert Mueller is about to indicte somebody soon very close

497
00:27:53,800 --> 00:27:55,760
Speaker 1: because he's trying to say, well, well, the president didn't

498
00:27:55,760 --> 00:27:57,920
Speaker 1: do it, or he didn't know, but maybe his son did,

499
00:27:58,480 --> 00:28:01,320
Speaker 1: or maybe people who were it did, maybe whoever the

500
00:28:01,320 --> 00:28:06,240
Speaker 1: fuck right? And they have been willing to throw lower

501
00:28:06,359 --> 00:28:08,800
Speaker 1: level people under the bus for a while, like saying

502
00:28:08,800 --> 00:28:12,280
Speaker 1: that is just a coffee Aaron boy. But the fact

503
00:28:12,320 --> 00:28:15,600
Speaker 1: that he's like everybody except the president is involved in

504
00:28:15,640 --> 00:28:18,600
Speaker 1: the statement seems to suggest that if he's doing this

505
00:28:18,680 --> 00:28:23,840
Speaker 1: to protect against some impending announcement from the Mueller investigation indictment,

506
00:28:24,359 --> 00:28:27,560
Speaker 1: it could be Yeah, people on the level of Donald

507
00:28:27,560 --> 00:28:30,800
Speaker 1: Trump Junior or Kushner. So but I mean even Giuliani

508
00:28:30,880 --> 00:28:33,640
Speaker 1: what his response was so idiotic. He was like, um,

509
00:28:33,840 --> 00:28:36,840
Speaker 1: presidential nominees, they don't worry about what's happening in their campaign.

510
00:28:36,840 --> 00:28:41,120
Speaker 1: They just worry about their acceptance s The very thing

511
00:28:41,280 --> 00:28:43,720
Speaker 1: is the campaign. Yeah, well, maybe that's why you were

512
00:28:43,760 --> 00:28:48,280
Speaker 1: so successful at running for president. That's crazy. He went

513
00:28:48,320 --> 00:28:51,360
Speaker 1: into that two thousand and eight election as like the

514
00:28:51,400 --> 00:28:54,920
Speaker 1: prohibitive Republican favorite because he was like Mr. Led the

515
00:28:54,920 --> 00:28:58,160
Speaker 1: country out at nine eleven and man, he just went

516
00:28:58,240 --> 00:29:00,320
Speaker 1: up and smoked real quick. Yeah. But you know what

517
00:29:00,400 --> 00:29:03,120
Speaker 1: also to he is, I mean a liar in the

518
00:29:03,160 --> 00:29:04,720
Speaker 1: same way that Trump is. You know how Trump takes

519
00:29:04,720 --> 00:29:06,760
Speaker 1: credit for a I think like, oh, you know, unemployment

520
00:29:06,760 --> 00:29:09,560
Speaker 1: has been dawn, and it's like, first of all, you're

521
00:29:09,560 --> 00:29:12,920
Speaker 1: speaking about numbers that have that are now reflective of

522
00:29:13,080 --> 00:29:15,800
Speaker 1: somebody else's job that are just coming in. And I

523
00:29:15,840 --> 00:29:18,960
Speaker 1: was way too young to be aware of this when

524
00:29:18,960 --> 00:29:20,920
Speaker 1: Giuliani was mayor of New York. But I grew up

525
00:29:20,920 --> 00:29:24,040
Speaker 1: in New York, and he took a lot of credit

526
00:29:24,160 --> 00:29:27,360
Speaker 1: for like certain crime things like crime being down and yeah,

527
00:29:27,400 --> 00:29:29,720
Speaker 1: but it was just like, you know, he was responsible

528
00:29:29,720 --> 00:29:33,480
Speaker 1: for like three strikes, right, that was Giuliani. But I

529
00:29:33,480 --> 00:29:35,240
Speaker 1: mean stupid stuff like your third strike could be like

530
00:29:35,280 --> 00:29:37,720
Speaker 1: jumping the turnstyle or something like that. But even he

531
00:29:37,760 --> 00:29:40,600
Speaker 1: took credit for crime, for the crime drop, but that

532
00:29:40,640 --> 00:29:43,640
Speaker 1: was as a result of the previous Nit mayor, which

533
00:29:43,680 --> 00:29:46,280
Speaker 1: I believe was Mayor Dinkins. So it's like him, him

534
00:29:46,320 --> 00:29:49,880
Speaker 1: and Trump, they're right in line with what's coming out

535
00:29:49,880 --> 00:29:52,360
Speaker 1: of their mouth is trash, right. I think that. I

536
00:29:52,360 --> 00:29:55,640
Speaker 1: think that's why they're perfect befellows, perfect partners in this,

537
00:29:55,720 --> 00:29:59,080
Speaker 1: because they they're so slippery. You can never nail them

538
00:29:59,080 --> 00:30:01,560
Speaker 1: down what they say. And even when they do say,

539
00:30:01,680 --> 00:30:03,960
Speaker 1: like when they're like I have you on wax right here,

540
00:30:04,120 --> 00:30:06,480
Speaker 1: like yeah, but that's that was different. It's like, what

541
00:30:06,520 --> 00:30:09,560
Speaker 1: the yeah? How was that different? You you just said

542
00:30:09,600 --> 00:30:11,760
Speaker 1: you've never verbally said this out loud. This is you

543
00:30:11,840 --> 00:30:14,080
Speaker 1: saying it verbally out loud. But it's different. I mean,

544
00:30:14,120 --> 00:30:17,720
Speaker 1: it's hard to break onto the list of Trump Administration

545
00:30:17,920 --> 00:30:21,480
Speaker 1: Hall of most easily refuted lies, but I think they

546
00:30:21,640 --> 00:30:26,360
Speaker 1: both added new chapters to that list because Giuliani with

547
00:30:26,440 --> 00:30:29,720
Speaker 1: his I never said collusion, but I always said no collusion.

548
00:30:30,400 --> 00:30:33,080
Speaker 1: And then Trump with his I never said Mexico would

549
00:30:33,120 --> 00:30:36,560
Speaker 1: pay for the wall. Uh, and like polit Effect just

550
00:30:36,680 --> 00:30:40,880
Speaker 1: had basically like a twenty page article that was just

551
00:30:40,960 --> 00:30:43,280
Speaker 1: like here all the times he said Mexico would pay

552
00:30:43,280 --> 00:30:45,840
Speaker 1: for the wall with like a one time lump some

553
00:30:46,040 --> 00:30:49,120
Speaker 1: payment of five to ten billion dollars like that is

554
00:30:49,200 --> 00:30:51,040
Speaker 1: what all he was saying. That was one of the

555
00:30:51,080 --> 00:30:54,160
Speaker 1: first things you said, Yeah, that was to which Mexico

556
00:30:54,280 --> 00:30:58,360
Speaker 1: applied nah, yeah, and then to which he replied, they

557
00:30:58,360 --> 00:31:01,120
Speaker 1: said the president Mexico said they will out under any circumstances,

558
00:31:01,120 --> 00:31:02,840
Speaker 1: pay for the wall. What is your comment, I said,

559
00:31:02,880 --> 00:31:06,760
Speaker 1: the wall just got ten feet higher. Yes, higher, folks.

560
00:31:07,040 --> 00:31:09,320
Speaker 1: It reminds me there is another family Guy reference, you know,

561
00:31:09,480 --> 00:31:12,000
Speaker 1: the Spanish lady and family guy. Every time Peter asked him,

562
00:31:12,080 --> 00:31:17,600
Speaker 1: she's like, no, no, no, I know. I feel like

563
00:31:17,600 --> 00:31:19,600
Speaker 1: Trump is like Mexico is going to pay for the

564
00:31:19,640 --> 00:31:26,800
Speaker 1: wall in Mexico, just like no, all right, that that's it. Well.

565
00:31:26,880 --> 00:31:31,560
Speaker 1: Also in the Trump orbit, Michael Cohen paid a firm

566
00:31:31,920 --> 00:31:36,520
Speaker 1: to rig online polls for the president back before he

567
00:31:36,560 --> 00:31:39,760
Speaker 1: was president in two thousand fifteen, and kept paying that

568
00:31:39,840 --> 00:31:44,120
Speaker 1: firm it seems like to help kind of bump up

569
00:31:44,280 --> 00:31:49,920
Speaker 1: his numbers in terms of being just like a hot dude. Yeah,

570
00:31:49,960 --> 00:31:53,320
Speaker 1: well so first, yeah, this company. First, he's like, look, man,

571
00:31:53,480 --> 00:31:56,040
Speaker 1: the president, he's really trying to help out his optics

572
00:31:56,080 --> 00:31:59,640
Speaker 1: going into this election. It was prior to actually running,

573
00:31:59,680 --> 00:32:03,080
Speaker 1: but in the build up, like in those fifteen first

574
00:32:03,080 --> 00:32:05,960
Speaker 1: he's like Hey, can you create an algorithm to rig

575
00:32:06,040 --> 00:32:09,680
Speaker 1: this CNBC pool of America's top business people top rank

576
00:32:09,720 --> 00:32:13,240
Speaker 1: business top in America. And he's and and also will

577
00:32:13,240 --> 00:32:17,360
Speaker 1: pay for another gig for Drudge when they're ranking taking

578
00:32:17,360 --> 00:32:19,960
Speaker 1: a poll of Republican presidential candidates, can you goose those

579
00:32:20,040 --> 00:32:21,960
Speaker 1: numbers two to make it look like there's really good

580
00:32:21,960 --> 00:32:25,440
Speaker 1: favorability for him? Cut to the results, right, he paid

581
00:32:25,440 --> 00:32:28,040
Speaker 1: fifty grand for this ship. The CNBC poel, he didn't

582
00:32:28,040 --> 00:32:31,600
Speaker 1: even break the top one hundred business people despite having

583
00:32:31,640 --> 00:32:35,800
Speaker 1: like full on fucory full on he engaged in the poll.

584
00:32:36,120 --> 00:32:38,160
Speaker 1: And then for the Drudge one, I think he only

585
00:32:38,160 --> 00:32:42,720
Speaker 1: got like barely broke five of the share of popular candidates.

586
00:32:42,800 --> 00:32:45,520
Speaker 1: So a, in true Trump fashion, they found a person

587
00:32:45,560 --> 00:32:49,600
Speaker 1: who was terrible at their job, even cheating at fixing polls,

588
00:32:49,760 --> 00:32:52,080
Speaker 1: cheating at cheating. Yeah, and then, like he said, he

589
00:32:52,080 --> 00:32:55,000
Speaker 1: asked them to start an account for himself. Michael Cohen

590
00:32:55,200 --> 00:32:59,000
Speaker 1: on Twitter called at Women for Cohen, and the bio

591
00:32:59,160 --> 00:33:00,920
Speaker 1: is amazing. It has, first of all, a photo of

592
00:33:01,000 --> 00:33:03,040
Speaker 1: Michael Cohen that is not very flattering to begin with,

593
00:33:03,360 --> 00:33:05,960
Speaker 1: and it says women who love and support Michael Cohen

594
00:33:06,320 --> 00:33:11,080
Speaker 1: strong pit bull sex symbol, no nonsense, business oriented and

595
00:33:11,080 --> 00:33:15,920
Speaker 1: ready to make a difference. What the pit bull sex

596
00:33:15,960 --> 00:33:20,400
Speaker 1: symbol sex? I mean that reason just say that. I

597
00:33:20,480 --> 00:33:24,800
Speaker 1: wonder Michael Cohen secretly wants to be Mr three five

598
00:33:24,840 --> 00:33:27,680
Speaker 1: worldwide pit bull, right, And he's like, yeah, I feel

599
00:33:27,680 --> 00:33:29,720
Speaker 1: like I think of myself as like the lawyer version

600
00:33:29,760 --> 00:33:33,880
Speaker 1: of pit bull. I'm a sex symbol, sex symbol. I

601
00:33:33,920 --> 00:33:36,480
Speaker 1: don't know. And the tweets are so painful. There's like

602
00:33:36,800 --> 00:33:38,680
Speaker 1: their ship in there. It's like, oh, it's never too

603
00:33:38,720 --> 00:33:42,840
Speaker 1: late for mcm selfie. Look at this photo that they posted.

604
00:33:42,960 --> 00:33:46,520
Speaker 1: What is mcma oh okay, okay, it looks like he

605
00:33:46,640 --> 00:33:49,680
Speaker 1: just got out of prison. Yeah, or like it's or

606
00:33:49,760 --> 00:33:53,200
Speaker 1: like like the unibomb or caught on surveillance cameras, like

607
00:33:52,760 --> 00:33:58,000
Speaker 1: looking really the thing women like and a man is jowls,

608
00:33:58,040 --> 00:34:01,040
Speaker 1: just like some nice fluffy Jael But you know, you

609
00:34:01,120 --> 00:34:04,400
Speaker 1: know how awful that has to feel to pay to

610
00:34:04,520 --> 00:34:08,279
Speaker 1: appear to be light. But it's still really just like

611
00:34:08,360 --> 00:34:11,319
Speaker 1: like that that has to be an awful thing to

612
00:34:11,400 --> 00:34:13,760
Speaker 1: go to sleep at night with. Yeah, and and also

613
00:34:13,840 --> 00:34:17,120
Speaker 1: like the hellscape that is inside of his mind where

614
00:34:17,160 --> 00:34:19,520
Speaker 1: he's like, well, they don't like me, so the solution

615
00:34:19,760 --> 00:34:22,560
Speaker 1: is to create a Twitter account that only has twelve

616
00:34:22,719 --> 00:34:27,000
Speaker 1: hundred followers, so to help out with your optics. He

617
00:34:27,040 --> 00:34:28,840
Speaker 1: did this all back when he was still working for

618
00:34:28,920 --> 00:34:31,839
Speaker 1: Trump yea at the direction of Trump, because then Michael

619
00:34:31,880 --> 00:34:33,600
Speaker 1: Cohen tweeted today He's like, yeah, it's true, which were

620
00:34:33,600 --> 00:34:35,239
Speaker 1: in the Wall Street Journal because the reason this even

621
00:34:35,239 --> 00:34:37,759
Speaker 1: came out is that the guy was like, again in

622
00:34:37,880 --> 00:34:40,680
Speaker 1: true Trump world fashion, didn't get all his money that

623
00:34:40,719 --> 00:34:44,719
Speaker 1: he was promised. And they say the first payment came,

624
00:34:44,800 --> 00:34:48,239
Speaker 1: and this guy, John Gager says in his Trump organization office.

625
00:34:48,320 --> 00:34:50,480
Speaker 1: Mr Cohen surprised the man John gage Or by giving

626
00:34:50,560 --> 00:34:53,160
Speaker 1: him a blue Walmart bag containing between twelve and thirteen

627
00:34:53,200 --> 00:34:56,400
Speaker 1: thousand dollars in cash and randomly a boxing glove that

628
00:34:56,520 --> 00:34:58,720
Speaker 1: Mr Cohen said had been worn by a Brazilian mixed

629
00:34:58,719 --> 00:35:03,400
Speaker 1: martial arts fighter. Wow. So he's like, hey, man, here's

630
00:35:03,440 --> 00:35:07,000
Speaker 1: a Anderson Silva one Anderson Silva glove and thirteen dollars

631
00:35:07,000 --> 00:35:10,160
Speaker 1: straight cash. Do we have a deal? Like? Is this

632
00:35:10,280 --> 00:35:15,319
Speaker 1: good for a down payment? Um? Walmart bag? Now you

633
00:35:15,320 --> 00:35:17,200
Speaker 1: can't even put in the Louis bag or something. Make

634
00:35:17,200 --> 00:35:20,960
Speaker 1: it like feel like as you know, but yeah, I

635
00:35:21,360 --> 00:35:23,399
Speaker 1: do feel bad for him now, I mean not even

636
00:35:24,320 --> 00:35:27,239
Speaker 1: not even yeah, Like I mean, I don't feel I

637
00:35:27,320 --> 00:35:30,959
Speaker 1: feel bad for the human being, but I can't. Yeah,

638
00:35:31,000 --> 00:35:33,759
Speaker 1: ignore if I took all the details out about who

639
00:35:33,760 --> 00:35:36,200
Speaker 1: this person is and who's who he's affiliated. The thought

640
00:35:36,280 --> 00:35:38,839
Speaker 1: of a person who is so desperate to change how

641
00:35:38,880 --> 00:35:41,719
Speaker 1: people perceive them that they paid somebody to create a

642
00:35:41,719 --> 00:35:44,840
Speaker 1: fake Twitter account that loves them and then still failed

643
00:35:44,880 --> 00:35:47,600
Speaker 1: at that. It's just it's like levels of failure and

644
00:35:47,640 --> 00:35:50,759
Speaker 1: then and then it's revealed that you did that and

645
00:35:50,800 --> 00:35:53,160
Speaker 1: you failed it. It's just like level it's it's like

646
00:35:53,200 --> 00:35:56,759
Speaker 1: the inception of right. And then you still think back

647
00:35:56,800 --> 00:36:00,400
Speaker 1: though to his appearances like during the Republican National Mentioned

648
00:36:00,440 --> 00:36:02,759
Speaker 1: when he would just go on news channels and just

649
00:36:02,800 --> 00:36:06,759
Speaker 1: be like so brutal and be like like physically intimidating

650
00:36:06,800 --> 00:36:08,839
Speaker 1: to people like Michael Cohen. I'm just like, I don't.

651
00:36:08,840 --> 00:36:11,520
Speaker 1: I don't feel sorry for this dude. He's no, he's bad.

652
00:36:11,680 --> 00:36:14,160
Speaker 1: I don't feel bad for him. I just imagine if

653
00:36:14,200 --> 00:36:16,520
Speaker 1: this was someone who was your friend and you found

654
00:36:16,560 --> 00:36:20,239
Speaker 1: out you're like, damn, did you hear about about Eric? Right?

655
00:36:20,760 --> 00:36:25,400
Speaker 1: She fucking hede just made a bunch of Instagram accounts

656
00:36:25,480 --> 00:36:27,680
Speaker 1: of like be a fan club, right, and all he

657
00:36:27,760 --> 00:36:33,439
Speaker 1: does is bartend at the Kibbitts Room. Damn to any

658
00:36:33,480 --> 00:36:37,920
Speaker 1: bartenders at the Hibbitts Room. Yeah, I have beef with

659
00:36:37,960 --> 00:36:39,839
Speaker 1: the Kidbots Room. I used to play there a lot

660
00:36:39,920 --> 00:36:42,839
Speaker 1: with my band and then you know, look, there was misunderstanding.

661
00:36:43,120 --> 00:36:45,160
Speaker 1: So I do want to talk one quick thing about

662
00:36:45,560 --> 00:36:49,440
Speaker 1: Alexandria Casio Cortez because so there was this story a

663
00:36:49,520 --> 00:36:52,239
Speaker 1: couple of weeks back where it kind of broke through

664
00:36:52,320 --> 00:36:54,680
Speaker 1: to the mainstream that she had made a claim about

665
00:36:54,719 --> 00:36:59,600
Speaker 1: healthcare costs that was inaccurate, and the fact checking media

666
00:36:59,760 --> 00:37:03,279
Speaker 1: was all over her. And so New York Meg had

667
00:37:03,320 --> 00:37:06,080
Speaker 1: this article on their intelligence or blog where they just

668
00:37:06,160 --> 00:37:09,120
Speaker 1: kind of looked at the fact checking process and how

669
00:37:09,280 --> 00:37:13,520
Speaker 1: the mainstream media is treating the claims that Alexandria Occasio

670
00:37:13,640 --> 00:37:16,960
Speaker 1: Cortes is making versus how they treat things that are

671
00:37:17,000 --> 00:37:19,839
Speaker 1: being said by people on the right. So for fact

672
00:37:19,960 --> 00:37:23,920
Speaker 1: checking her, he looks at something that Max Boot was

673
00:37:24,040 --> 00:37:27,520
Speaker 1: calling her out on in Max Boot is a real person. Yes,

674
00:37:27,640 --> 00:37:30,560
Speaker 1: he's a He's like the New York Post centrist guy

675
00:37:30,680 --> 00:37:36,400
Speaker 1: who's like anti Trump but also anti Democrats and saying Party,

676
00:37:36,840 --> 00:37:43,840
Speaker 1: So right, So she rhetorically said that we need to

677
00:37:43,880 --> 00:37:46,320
Speaker 1: take into account the costs of funerals and our healthcare

678
00:37:46,400 --> 00:37:49,719
Speaker 1: costs when we're taking in when we're doing accounting for

679
00:37:49,880 --> 00:37:53,560
Speaker 1: current healthcare costs, and people like went into that and

680
00:37:53,600 --> 00:37:57,839
Speaker 1: we're like, well, funerals still cost stuff with Medicare for all,

681
00:37:58,040 --> 00:38:00,680
Speaker 1: and like really dug in on that point, and then

682
00:38:01,080 --> 00:38:03,920
Speaker 1: there was also Jake Tapper, So she was saying that

683
00:38:04,080 --> 00:38:07,520
Speaker 1: like it's like now that like we have to think

684
00:38:07,520 --> 00:38:11,040
Speaker 1: about our funeral costs and even how we're even She

685
00:38:11,120 --> 00:38:13,200
Speaker 1: was also kind of making a comment about like how

686
00:38:13,840 --> 00:38:17,560
Speaker 1: cynical this accounting is that you're just like, Okay, well,

687
00:38:17,640 --> 00:38:21,160
Speaker 1: what's what's a human life cost? And this there'll still

688
00:38:21,160 --> 00:38:24,439
Speaker 1: be funerals. So that that's what a lot of people

689
00:38:24,480 --> 00:38:26,840
Speaker 1: on Twitter were doing and Max boot was doing, and

690
00:38:27,520 --> 00:38:30,879
Speaker 1: that he only took that part of her quote, which

691
00:38:31,000 --> 00:38:33,160
Speaker 1: was a longer statement that made a lot of really

692
00:38:33,200 --> 00:38:35,400
Speaker 1: good points. And one of the points she made was

693
00:38:35,560 --> 00:38:38,480
Speaker 1: that so there was a study by this Koch brother

694
00:38:39,000 --> 00:38:43,240
Speaker 1: funded libertarian think tank that put together all these numbers

695
00:38:43,560 --> 00:38:47,120
Speaker 1: estimates about healthcare costs over the next twenty years, and

696
00:38:47,400 --> 00:38:51,440
Speaker 1: if you apply universally agreed upon costs to all the

697
00:38:51,520 --> 00:38:55,120
Speaker 1: different things that they were assuming. It found like people

698
00:38:55,280 --> 00:38:58,360
Speaker 1: when they did the math to their model, found the

699
00:38:58,480 --> 00:39:01,600
Speaker 1: current health care system costing Erican people two trillion dollars

700
00:39:01,719 --> 00:39:05,560
Speaker 1: more than it would under Bernie's Medicare for All. And

701
00:39:05,680 --> 00:39:09,560
Speaker 1: so this right, and as the Koch Brothers funding study,

702
00:39:09,719 --> 00:39:12,640
Speaker 1: so Bernie and AOC kind of jumped on that more like,

703
00:39:12,760 --> 00:39:15,600
Speaker 1: thank you so much for like making this point for us,

704
00:39:15,680 --> 00:39:20,600
Speaker 1: Koke Brothers. So Jake Tapper, Mr centrist media, who's willing

705
00:39:20,680 --> 00:39:23,080
Speaker 1: to tell it like it is, callballs and strikes on

706
00:39:23,160 --> 00:39:26,879
Speaker 1: both sides, went to the author of the libertarian think

707
00:39:26,920 --> 00:39:30,680
Speaker 1: tank study and basically got their opinion on it, and

708
00:39:30,800 --> 00:39:34,600
Speaker 1: then used their opinion to basically be like, AOC is lying,

709
00:39:35,040 --> 00:39:38,560
Speaker 1: she's not taking it under the like the way that

710
00:39:38,680 --> 00:39:40,840
Speaker 1: it was meant to. He basically fact checked her and

711
00:39:40,920 --> 00:39:45,680
Speaker 1: said she was wrong about this. Jake Tapper. Wait, he

712
00:39:45,840 --> 00:39:48,200
Speaker 1: went to the author of the study and this and

713
00:39:48,320 --> 00:39:51,440
Speaker 1: the study that came to the conclusion that medica So

714
00:39:51,560 --> 00:39:55,520
Speaker 1: you had to do additional math to their assumptions to

715
00:39:55,680 --> 00:39:59,520
Speaker 1: then come to that conclusion, Oh, that Medicare all, Medicare

716
00:39:59,600 --> 00:40:03,040
Speaker 1: for all would be cheaper and so he was basically

717
00:40:03,080 --> 00:40:05,520
Speaker 1: fact checked her. He fact checked her, but in a

718
00:40:05,640 --> 00:40:08,440
Speaker 1: way that was actually inaccurate, and he just took the

719
00:40:08,520 --> 00:40:13,000
Speaker 1: libertarians at their word. And it's because there is this

720
00:40:13,400 --> 00:40:16,440
Speaker 1: it's like called reporting from nowhere, Like we're not on

721
00:40:16,520 --> 00:40:18,160
Speaker 1: the left, we're not on the right. We just called

722
00:40:18,200 --> 00:40:20,759
Speaker 1: balls and strikes, And you got a real knack for

723
00:40:20,800 --> 00:40:23,200
Speaker 1: con strikes suddenly for this person, right, because if you

724
00:40:23,360 --> 00:40:26,359
Speaker 1: agree with AOC and what she's saying about Medicare for all,

725
00:40:26,480 --> 00:40:28,880
Speaker 1: if you agree that our current health care system is

726
00:40:28,960 --> 00:40:32,279
Speaker 1: completely fucked and that there are other countries that are

727
00:40:32,760 --> 00:40:35,600
Speaker 1: doing it much better than we are, with like adding

728
00:40:35,800 --> 00:40:39,360
Speaker 1: some socialized medicine into it, then you're on the left.

729
00:40:39,440 --> 00:40:42,480
Speaker 1: And so they have a bias against the truth if

730
00:40:42,560 --> 00:40:45,640
Speaker 1: the truth is being stated by somebody who's seen as leftist,

731
00:40:46,239 --> 00:40:49,279
Speaker 1: and so he is going out of his way to

732
00:40:49,760 --> 00:40:52,759
Speaker 1: make up facts to fact check someone because they're on

733
00:40:52,840 --> 00:40:55,600
Speaker 1: the left. And the point this person is making is

734
00:40:55,719 --> 00:40:59,480
Speaker 1: that sometimes the truth has a leftist bias, like that,

735
00:40:59,800 --> 00:41:01,960
Speaker 1: you know the truth is on the left. And he

736
00:41:02,080 --> 00:41:06,840
Speaker 1: pointed out centrist reporting from nowhere from the journalism industrial

737
00:41:06,960 --> 00:41:09,360
Speaker 1: complex that was unwilling to believe the left and the

738
00:41:09,400 --> 00:41:11,160
Speaker 1: run up to the Iraq War, when we were like,

739
00:41:11,480 --> 00:41:13,680
Speaker 1: you know, there are no weapons of mass destruction. They

740
00:41:13,719 --> 00:41:16,200
Speaker 1: built this case out of nothing. They knew they wanted

741
00:41:16,239 --> 00:41:18,680
Speaker 1: to go to war with rock. Like the New York Times,

742
00:41:18,760 --> 00:41:21,040
Speaker 1: everybody was like, well, that's what the left is saying.

743
00:41:21,160 --> 00:41:23,759
Speaker 1: But then Bush is saying this thing, and it's like, no,

744
00:41:24,160 --> 00:41:26,960
Speaker 1: like one side is using empiricism, guys, and the other

745
00:41:27,040 --> 00:41:29,960
Speaker 1: side is just using bullshit, And like you guys have

746
00:41:30,120 --> 00:41:34,960
Speaker 1: to actually like what is your biases your bias towards

747
00:41:35,160 --> 00:41:37,240
Speaker 1: just always being in the middle of the two sides,

748
00:41:37,480 --> 00:41:41,480
Speaker 1: or is it towards trying to report? Yeah, what's like then,

749
00:41:41,600 --> 00:41:43,080
Speaker 1: but then we would always be saying the left is

750
00:41:43,239 --> 00:41:45,440
Speaker 1: right right exactly, and then we're gonna look like it's like,

751
00:41:45,520 --> 00:41:48,520
Speaker 1: well then it is what it is, right, well, you

752
00:41:48,600 --> 00:41:50,879
Speaker 1: know it. It just sort of underlines that the fact

753
00:41:50,960 --> 00:41:54,920
Speaker 1: that the ideas that AOC has our direct threat to

754
00:41:55,000 --> 00:41:57,560
Speaker 1: the status quo, and you have shipped like this because

755
00:41:57,640 --> 00:42:01,000
Speaker 1: she's she has ideas that are fun and good and

756
00:42:01,360 --> 00:42:05,080
Speaker 1: that are disruptive to the health care industry and many

757
00:42:05,160 --> 00:42:08,319
Speaker 1: other industries, to the the energy sector, and so yeah,

758
00:42:08,360 --> 00:42:11,400
Speaker 1: it's it's funny to always see like, especially like centrist

759
00:42:11,480 --> 00:42:15,239
Speaker 1: democrat type people be like very nervous. I mean, these

760
00:42:15,280 --> 00:42:18,200
Speaker 1: are good ideas, but you know, I mean young people

761
00:42:18,320 --> 00:42:20,879
Speaker 1: really not want to be saddled with death their whole

762
00:42:20,960 --> 00:42:23,439
Speaker 1: lives for health costs. Really, I mean, I don't believe

763
00:42:23,480 --> 00:42:26,360
Speaker 1: that it sounds like some socialism stuff, right, And by

764
00:42:26,400 --> 00:42:28,480
Speaker 1: the way, to kind of prove the oppiosite point that

765
00:42:28,719 --> 00:42:31,720
Speaker 1: you can get things done with these sort of ideas

766
00:42:31,760 --> 00:42:34,560
Speaker 1: that are outside the mainstream, I mean, now medicare for

767
00:42:34,640 --> 00:42:37,800
Speaker 1: all is like a mainstream point of view, democratic belief

768
00:42:37,920 --> 00:42:40,360
Speaker 1: that was seen as like far to the left a

769
00:42:40,400 --> 00:42:42,399
Speaker 1: long time ago. So that's the thing about the truth. Man,

770
00:42:42,600 --> 00:42:45,120
Speaker 1: it will touch everybody at some point. And even if

771
00:42:45,160 --> 00:42:46,920
Speaker 1: you thought, oh, well this is this sounds like a

772
00:42:47,000 --> 00:42:49,759
Speaker 1: socialist idea, there are people on the entire spectrum of

773
00:42:49,840 --> 00:42:53,319
Speaker 1: political ideologies who are looking objectively at their situation when

774
00:42:53,360 --> 00:42:56,279
Speaker 1: it comes to healthcare and go, this is fucked up. Yeah,

775
00:42:56,520 --> 00:42:59,520
Speaker 1: Like how the funk? Like how might a situation where

776
00:42:59,840 --> 00:43:04,360
Speaker 1: you have to say can I afford to live? Right? Yeah, exactly,

777
00:43:04,400 --> 00:43:07,160
Speaker 1: that's the thing. And I tweeted this article out about

778
00:43:07,280 --> 00:43:10,160
Speaker 1: the AOC like the fact checking bias and her so

779
00:43:10,360 --> 00:43:12,839
Speaker 1: she then went on to be like, you know, fact

780
00:43:12,920 --> 00:43:16,520
Speaker 1: checking sometimes is more focused on like numbers than the

781
00:43:16,560 --> 00:43:18,360
Speaker 1: big picture, and this is the force for the treason.

782
00:43:18,400 --> 00:43:20,680
Speaker 1: People like, oh, she doesn't like facts now, And so

783
00:43:20,840 --> 00:43:23,480
Speaker 1: I tweeted out this article that was kind of making

784
00:43:23,480 --> 00:43:26,160
Speaker 1: the argument I just made and pointing out, and somebody

785
00:43:26,280 --> 00:43:29,040
Speaker 1: was like, oh, yeah, because funeral costs are going to

786
00:43:29,160 --> 00:43:32,319
Speaker 1: be better when aocas in powers like they just took

787
00:43:33,000 --> 00:43:36,120
Speaker 1: the thing that was not the point. No one saying

788
00:43:36,160 --> 00:43:40,600
Speaker 1: that medicare fall isn't a fucking invincibility serum for everybody

789
00:43:40,600 --> 00:43:43,880
Speaker 1: to live forever. Yeah, anyways, it's an interesting time, what

790
00:43:44,040 --> 00:43:46,000
Speaker 1: a time to be alive. But I mean if people

791
00:43:46,040 --> 00:43:48,000
Speaker 1: didn't take things out of context and make it what

792
00:43:48,080 --> 00:43:51,760
Speaker 1: they wanted to, then would we even have news media

793
00:43:51,840 --> 00:43:54,799
Speaker 1: like that, would there even be a conversation or debate? Yeah,

794
00:43:55,080 --> 00:43:56,640
Speaker 1: well yeah, then now the news is more of like

795
00:43:56,719 --> 00:43:59,080
Speaker 1: trying to act as like a corrective like sort of

796
00:43:59,200 --> 00:44:03,120
Speaker 1: measure against people with like terrible ideas. But that's yeah,

797
00:44:03,200 --> 00:44:05,560
Speaker 1: I'm gonna need history, man, You need history to like

798
00:44:05,640 --> 00:44:08,680
Speaker 1: even recent history. Just looking at like the run up

799
00:44:08,719 --> 00:44:10,600
Speaker 1: to the Iraq War, the run up to the First

800
00:44:10,640 --> 00:44:14,719
Speaker 1: Iraq War, Like how the right manipulated facts to do

801
00:44:14,960 --> 00:44:17,520
Speaker 1: these things that ended up killing lots of people, and

802
00:44:17,760 --> 00:44:20,759
Speaker 1: how the mainstream media fucked it up, and like let

803
00:44:20,840 --> 00:44:24,560
Speaker 1: it happen, because that's that's where you'll find a model

804
00:44:24,719 --> 00:44:28,080
Speaker 1: for like how this thing actually works. But yeah, journalism

805
00:44:28,160 --> 00:44:29,759
Speaker 1: in the moment does not seem to be up to

806
00:44:29,840 --> 00:44:32,160
Speaker 1: the task for the most part. All right, let's take

807
00:44:32,160 --> 00:44:34,160
Speaker 1: a quick break and we'll come back to talk about

808
00:44:34,160 --> 00:44:48,200
Speaker 1: beer and Girl Scott Cookies. And we're back and there

809
00:44:48,360 --> 00:44:51,960
Speaker 1: is a craft beer and Girl scot Cookies festival. Miles,

810
00:44:52,040 --> 00:44:54,279
Speaker 1: what the funk is happening? I don't know, just the

811
00:44:54,400 --> 00:44:59,360
Speaker 1: combination of wars though, I'm happy. Yeah, uh yeah, this

812
00:44:59,520 --> 00:45:01,839
Speaker 1: is a it's the thing that's actually happening like all

813
00:45:01,920 --> 00:45:03,759
Speaker 1: over the country. But there was an article on the

814
00:45:03,800 --> 00:45:05,759
Speaker 1: takeout that I read that I guess there's one on

815
00:45:05,840 --> 00:45:10,360
Speaker 1: the twenty four in Indianapolis where it's basically pairing like

816
00:45:10,520 --> 00:45:14,440
Speaker 1: ten craft breweries with a specific Girl Scout cookie, So

817
00:45:14,840 --> 00:45:17,279
Speaker 1: so things like you know. This is an excerpt from

818
00:45:17,360 --> 00:45:21,600
Speaker 1: an article Cocoa Nibs, vanilla bean and mince Briggs flavor

819
00:45:21,960 --> 00:45:25,480
Speaker 1: Fields Choco mint stout, a natural within mints with peanut

820
00:45:25,520 --> 00:45:28,640
Speaker 1: butter and jelly sandwiches in mind Field Beer Partner a

821
00:45:28,760 --> 00:45:32,520
Speaker 1: mixed berry infused pilsner with peanut butter, chocolate and short

822
00:45:32,560 --> 00:45:35,680
Speaker 1: bread tag alongs. The delicate sweetness of the fresh berries

823
00:45:35,880 --> 00:45:39,480
Speaker 1: contrast the subtle saltiness of the peanut butter cookie, while

824
00:45:39,480 --> 00:45:42,279
Speaker 1: the chrispness of the pilsner cuts through the chocolate. I mean,

825
00:45:42,400 --> 00:45:44,680
Speaker 1: this is just like they're really trying to take our

826
00:45:44,960 --> 00:45:47,600
Speaker 1: snacks to the next level with beer. That's interesting though,

827
00:45:47,640 --> 00:45:50,480
Speaker 1: because like you always hear about wines being paired with

828
00:45:50,600 --> 00:45:52,920
Speaker 1: savory food, but like you can't pair a wine with

829
00:45:53,080 --> 00:45:57,840
Speaker 1: sucking a sweet snack. I don't know, Like it seems

830
00:45:57,880 --> 00:46:00,000
Speaker 1: like it's like when you eat a bunch of eminem

831
00:46:00,160 --> 00:46:03,040
Speaker 1: and then drink a coke and it tastes like water. Yeah,

832
00:46:03,760 --> 00:46:08,520
Speaker 1: like sugar bar has beens, but with beer, like it's

833
00:46:08,640 --> 00:46:13,319
Speaker 1: not sweet, so it might just still work together. I'm

834
00:46:13,360 --> 00:46:16,799
Speaker 1: more surprised that this was sanctioned an official event by

835
00:46:16,880 --> 00:46:20,640
Speaker 1: Girls America. That's what I was gonna so I actually

836
00:46:20,680 --> 00:46:22,160
Speaker 1: don't have a problem with that. I've never had beer

837
00:46:22,200 --> 00:46:25,000
Speaker 1: before in my life because I hear that it tastes

838
00:46:25,080 --> 00:46:26,879
Speaker 1: nasty and I don't even want to try it. If

839
00:46:27,520 --> 00:46:29,600
Speaker 1: everybody thinks that it's it's not a thing you're gonna drink,

840
00:46:29,640 --> 00:46:33,960
Speaker 1: go where the funk have? I also too, is there's

841
00:46:34,000 --> 00:46:35,800
Speaker 1: so many things. It's like there's a thing called a

842
00:46:35,880 --> 00:46:38,080
Speaker 1: beer belly. It's so many things I don't want, and

843
00:46:38,160 --> 00:46:41,120
Speaker 1: so why even try it? Girl Scout cookies are good

844
00:46:41,160 --> 00:46:43,520
Speaker 1: as ship regardless of what age you are, and so

845
00:46:43,719 --> 00:46:46,719
Speaker 1: tom pair something that people really like, like beer, with

846
00:46:46,880 --> 00:46:49,000
Speaker 1: something else that people really like makes sense. But it

847
00:46:49,200 --> 00:46:52,480
Speaker 1: sounds a bit like taboo e because Girl Scouts are

848
00:46:52,560 --> 00:46:55,080
Speaker 1: like young, and beer you have to be twenty one

849
00:46:55,120 --> 00:46:58,520
Speaker 1: and over, so it seems really like like naughty, but

850
00:46:58,719 --> 00:47:01,680
Speaker 1: it's not. It's like the Girl Scouts sell their cookies

851
00:47:01,719 --> 00:47:04,320
Speaker 1: in front of the supermarket. Who goes shopping for groceries?

852
00:47:04,400 --> 00:47:08,080
Speaker 1: Older people like, it's it's not buying beer at Routs

853
00:47:08,760 --> 00:47:10,640
Speaker 1: and they pick up a box of cookies on their

854
00:47:10,680 --> 00:47:13,640
Speaker 1: way out to the parking. I've been saying the Girl

855
00:47:13,680 --> 00:47:16,319
Speaker 1: Scouts should go down to spring Break on Daytona Beach

856
00:47:16,360 --> 00:47:21,040
Speaker 1: and sell it killing like, well, the best was I

857
00:47:21,080 --> 00:47:23,400
Speaker 1: saw like on four twenty, Like when the Girl Scouts

858
00:47:23,520 --> 00:47:27,000
Speaker 1: be like, we know what's up? Yeah, I saw the

859
00:47:27,200 --> 00:47:30,799
Speaker 1: valley They were like some cheeky parent was like, let's

860
00:47:30,840 --> 00:47:32,680
Speaker 1: do a sign that's like we know what day it is.

861
00:47:32,760 --> 00:47:34,920
Speaker 1: Someone had a thing out there's like we know what

862
00:47:35,080 --> 00:47:37,400
Speaker 1: day it is, and they're Girl Scout cookies and I

863
00:47:37,480 --> 00:47:41,239
Speaker 1: was like, I would buy it. I mean, as long

864
00:47:41,360 --> 00:47:44,680
Speaker 1: as long as the Girl Scouts aren't in these actual No.

865
00:47:44,800 --> 00:47:47,200
Speaker 1: I think it's just that they're sanctioned by being like, yeah,

866
00:47:47,320 --> 00:47:49,480
Speaker 1: you can use our cookies or whatever. We like that

867
00:47:49,560 --> 00:47:51,040
Speaker 1: you're trying to take it to the next leng yeah,

868
00:47:51,040 --> 00:47:52,879
Speaker 1: because I mean girl Scouts the reason why they sell

869
00:47:52,920 --> 00:47:56,920
Speaker 1: their cookies is to get money for some sort of organism.

870
00:47:57,160 --> 00:47:58,920
Speaker 1: I know that they're an organism. No, no, no, no,

871
00:47:59,080 --> 00:48:01,879
Speaker 1: I know that, but I mean it's for something. It's

872
00:48:01,920 --> 00:48:03,800
Speaker 1: not just like to pocket it, like hey girls, we

873
00:48:03,880 --> 00:48:08,040
Speaker 1: got money now, it's to go towards whatever they're learning whatever.

874
00:48:08,440 --> 00:48:12,360
Speaker 1: You're right, Yeah, you're purposeful. And so if this allows

875
00:48:12,440 --> 00:48:16,479
Speaker 1: their profit to go up to contribute to their I don't.

876
00:48:16,520 --> 00:48:19,839
Speaker 1: I don't see like bars aren't going to close, right

877
00:48:20,280 --> 00:48:24,160
Speaker 1: and Girl Scouts need money, so what's the issue. I

878
00:48:24,360 --> 00:48:26,360
Speaker 1: much prefer giving money to the Girl Scouts than like

879
00:48:26,600 --> 00:48:31,360
Speaker 1: Nabisco or yeah, right, unless Nibisco starts advertising on our podcast.

880
00:48:31,400 --> 00:48:33,759
Speaker 1: It's like twofold though two because they wanted to help

881
00:48:33,880 --> 00:48:36,799
Speaker 1: empower these girls to be like they can socialize, they

882
00:48:36,840 --> 00:48:39,640
Speaker 1: can they'll learn about planning and like having some sort

883
00:48:39,640 --> 00:48:42,560
Speaker 1: of a business like a little bit of business acumen

884
00:48:42,560 --> 00:48:44,480
Speaker 1: because you're selling a product and things like that. But yeah,

885
00:48:44,480 --> 00:48:46,440
Speaker 1: it goes to a lot of their programs for like

886
00:48:46,520 --> 00:48:49,120
Speaker 1: different experience like you know, camps and things like that

887
00:48:49,239 --> 00:48:51,320
Speaker 1: and STEM program. Yeah. I think this is also just

888
00:48:51,560 --> 00:48:54,520
Speaker 1: like when it has made it into the conversation because

889
00:48:54,680 --> 00:48:57,800
Speaker 1: we're in the like me two times up. You know,

890
00:48:57,960 --> 00:49:03,160
Speaker 1: we're we're exploring a lot of underage over like you know,

891
00:49:03,680 --> 00:49:06,719
Speaker 1: abuse since and stuff like and so I think this

892
00:49:06,960 --> 00:49:09,440
Speaker 1: is like one of those like really niche ways to

893
00:49:09,760 --> 00:49:12,239
Speaker 1: enter into a conversation. But I just don't even think

894
00:49:12,280 --> 00:49:14,880
Speaker 1: it's a big deal. Yeah No, I mean I think personally,

895
00:49:15,120 --> 00:49:18,120
Speaker 1: I love grol Scout cookies. I like beer too, So

896
00:49:18,239 --> 00:49:20,960
Speaker 1: I feel like, yes, this sounds like a thing I

897
00:49:21,040 --> 00:49:24,000
Speaker 1: will go to. Yeah, if you say, hey, they't never

898
00:49:24,080 --> 00:49:26,640
Speaker 1: come with me to like a bar crawl, I'll say, uh,

899
00:49:27,640 --> 00:49:29,279
Speaker 1: or like a beer function, And I'm like, well, I

900
00:49:29,280 --> 00:49:31,200
Speaker 1: don't drink beer, so I won't go they got thin

901
00:49:31,320 --> 00:49:35,040
Speaker 1: mint too. I'm there. It's like you've just like you

902
00:49:35,160 --> 00:49:37,680
Speaker 1: sold me with it. Yeah, yeah, coming me to this thing.

903
00:49:37,800 --> 00:49:41,040
Speaker 1: I don't know. We're climbing a mountain. Oh with thin

904
00:49:41,120 --> 00:49:44,640
Speaker 1: mints though, Okay, yeah, exactly this. Wait, what's your favorite?

905
00:49:44,640 --> 00:49:47,359
Speaker 1: What's everyone's favorite Girl Scout cookie? My favorite Girl Scout

906
00:49:47,440 --> 00:49:57,759
Speaker 1: cookie is simone or the chocolate. Yeah, well, what's yours?

907
00:49:58,000 --> 00:50:01,600
Speaker 1: Sounds like you're a fan. Mine is definitely thin mint,

908
00:50:01,960 --> 00:50:04,640
Speaker 1: but I also yes, but I also like the there's

909
00:50:04,640 --> 00:50:06,799
Speaker 1: like a short bread one that they have, right, It's

910
00:50:06,840 --> 00:50:10,040
Speaker 1: like I love that one. Mint is definitely my favorite.

911
00:50:10,080 --> 00:50:12,759
Speaker 1: I like whatever the peanut butter one is. Yeah, are good,

912
00:50:13,400 --> 00:50:18,880
Speaker 1: and you know what that's like? Last year I was like, wait,

913
00:50:19,400 --> 00:50:22,400
Speaker 1: they're so chemically they flavored, but I was like this,

914
00:50:23,000 --> 00:50:27,399
Speaker 1: I think basically the smore cookie figured out a new

915
00:50:27,640 --> 00:50:32,360
Speaker 1: like chemical way to fit more sugar into a cookie

916
00:50:32,480 --> 00:50:35,080
Speaker 1: form and that because it is just so fucking sweet,

917
00:50:35,160 --> 00:50:39,520
Speaker 1: but it's so good. Yeah, did you have no new flavor? No?

918
00:50:39,640 --> 00:50:43,799
Speaker 1: But I don't do smores. I don't do marshmallows. Okay, Well,

919
00:50:44,080 --> 00:50:48,000
Speaker 1: let's talk about some equally big news, or not quite

920
00:50:48,000 --> 00:50:51,080
Speaker 1: as big as the Girl scout craft beer festivals, but

921
00:50:51,640 --> 00:50:54,799
Speaker 1: we might have discovered life on other planets. So there

922
00:50:54,920 --> 00:51:00,759
Speaker 1: was the story about the big oblong object that was

923
00:51:00,800 --> 00:51:04,000
Speaker 1: flying through space that scientists were like, that doesn't make sense.

924
00:51:04,480 --> 00:51:08,239
Speaker 1: And there were the Harvard scientists who speculated that it

925
00:51:08,440 --> 00:51:12,400
Speaker 1: might be from a another civilization, like it was a

926
00:51:12,480 --> 00:51:15,600
Speaker 1: probe or something like a probe that ship, Yeah, it

927
00:51:15,680 --> 00:51:19,240
Speaker 1: did not come from a natural source, Like it didn't

928
00:51:19,280 --> 00:51:22,360
Speaker 1: make sense from from that. And then there was like

929
00:51:22,480 --> 00:51:24,560
Speaker 1: water thrown on that argument, Like you saw a lot

930
00:51:24,600 --> 00:51:28,040
Speaker 1: of scientists come out and be like, well, that's one possibility,

931
00:51:28,120 --> 00:51:30,760
Speaker 1: but it's not the most likely. Just because it's possible

932
00:51:30,800 --> 00:51:32,840
Speaker 1: doesn't mean that that's what it is, right. So the

933
00:51:32,920 --> 00:51:35,520
Speaker 1: New Yorker interviewed one of the guys behind that who

934
00:51:35,600 --> 00:51:39,640
Speaker 1: was like one of the chairs of his department at Harvard,

935
00:51:39,880 --> 00:51:42,960
Speaker 1: and he's still like he's like, yeah, man, like this

936
00:51:43,120 --> 00:51:46,520
Speaker 1: still seems weird to me. It doesn't make sense, and

937
00:51:46,640 --> 00:51:48,600
Speaker 1: he kind of lists all the things about it that

938
00:51:48,640 --> 00:51:51,160
Speaker 1: don't make sense. The shape is the one thing I

939
00:51:51,239 --> 00:51:53,680
Speaker 1: had heard. But he also says that the rate at

940
00:51:53,719 --> 00:51:56,719
Speaker 1: which it's traveling, like we can calculate at what rate

941
00:51:57,000 --> 00:52:02,240
Speaker 1: rock is ejected, like from around fund the universe based

942
00:52:02,320 --> 00:52:05,520
Speaker 1: on like history, and nothing that we've seen has ever

943
00:52:05,640 --> 00:52:09,920
Speaker 1: traveled like this or the direction that it's going faster.

944
00:52:10,360 --> 00:52:13,040
Speaker 1: It's weird. It's not moving relative to our Sun, which

945
00:52:13,160 --> 00:52:15,200
Speaker 1: it's one of the only things they've ever seen that

946
00:52:15,560 --> 00:52:18,400
Speaker 1: isn't moving relative to our Sun. So it's like actually

947
00:52:18,480 --> 00:52:22,120
Speaker 1: moving slower, which suggests that it's like not from like

948
00:52:22,200 --> 00:52:24,799
Speaker 1: so it's not even fucking with the Sun's gravitational pull.

949
00:52:24,960 --> 00:52:27,080
Speaker 1: Well not even the Sun's gravitational pull. It's like the

950
00:52:27,200 --> 00:52:29,640
Speaker 1: Sun and all the stars are moving kind of in

951
00:52:29,680 --> 00:52:32,719
Speaker 1: the same direction, like they're expanding, you know, in the

952
00:52:32,760 --> 00:52:36,000
Speaker 1: same direction. So everything's moving in this direction, and then

953
00:52:36,360 --> 00:52:38,680
Speaker 1: this motherfucker comes in from like out of nowhere, and

954
00:52:38,719 --> 00:52:41,000
Speaker 1: it's not going in the same direct it's actually moving slower,

955
00:52:41,040 --> 00:52:43,879
Speaker 1: I think they said, than the Sun. And they don't

956
00:52:44,000 --> 00:52:46,560
Speaker 1: know why. They can't figure out there like that, this

957
00:52:46,680 --> 00:52:49,600
Speaker 1: doesn't make sense, and then he explains, He says, the

958
00:52:49,920 --> 00:52:52,880
Speaker 1: shape that we've all seen, the cigar shaped thing, is

959
00:52:53,040 --> 00:52:56,040
Speaker 1: based on like one possibility. All we know is it's

960
00:52:56,080 --> 00:53:00,759
Speaker 1: spinning and changing color like reflecting light at a rate

961
00:53:00,960 --> 00:53:05,080
Speaker 1: that would suggest that it's ten times longer than it

962
00:53:05,280 --> 00:53:09,879
Speaker 1: is wide, but he says that the more likely explanation

963
00:53:10,080 --> 00:53:13,640
Speaker 1: is that it's like one millimeter thin, Like it's so

964
00:53:13,760 --> 00:53:16,440
Speaker 1: it's very long and very wide, but also one millimeter

965
00:53:16,640 --> 00:53:20,520
Speaker 1: thin because of like some aspect of like how it's

966
00:53:20,719 --> 00:53:24,320
Speaker 1: reflecting light back. And that's why he suggested light sale

967
00:53:24,520 --> 00:53:27,560
Speaker 1: because he thinks that pancake shaped is the most likely

968
00:53:28,040 --> 00:53:30,960
Speaker 1: explanation for it. And he's like, that's that shape just

969
00:53:31,000 --> 00:53:35,400
Speaker 1: wouldn't like naturally exist. So, uh so some alien sailors

970
00:53:35,480 --> 00:53:38,000
Speaker 1: just coming through. Yeah, they basically they compare it to

971
00:53:38,360 --> 00:53:40,759
Speaker 1: you know, a wind sale, but it's using the light

972
00:53:40,920 --> 00:53:44,719
Speaker 1: of the sun to uh propel it. And that's like

973
00:53:44,840 --> 00:53:48,000
Speaker 1: one of the ways they were able to explain how

974
00:53:48,320 --> 00:53:51,000
Speaker 1: it would exist and how long do we have before

975
00:53:51,000 --> 00:53:54,680
Speaker 1: it gets to us? It actually like shot through the

976
00:53:54,760 --> 00:54:01,080
Speaker 1: Solar system. It's already gone. I think, yeah, they already saw. Well,

977
00:54:01,239 --> 00:54:03,600
Speaker 1: well you're like, don't tell them back home, man, we don't. Yeah,

978
00:54:04,719 --> 00:54:07,200
Speaker 1: don't fun with them. Yeah yeah. Yeah. What we did

979
00:54:07,239 --> 00:54:10,239
Speaker 1: talk about the other possibility that this is one part

980
00:54:10,360 --> 00:54:13,160
Speaker 1: of an alien spacecraft that is slowing down on its

981
00:54:13,200 --> 00:54:15,960
Speaker 1: way to us, and you know the first thing that

982
00:54:16,080 --> 00:54:19,840
Speaker 1: it discards would obviously go flying by first because that

983
00:54:19,960 --> 00:54:23,359
Speaker 1: part's not slowing down. But oh right, that it's their

984
00:54:23,400 --> 00:54:26,840
Speaker 1: booster rockets that they've just jettisoned. Yeah, this would be

985
00:54:26,880 --> 00:54:29,680
Speaker 1: the first thing you saw in the movie Independence Day

986
00:54:29,880 --> 00:54:33,000
Speaker 1: before the spaceship showed up. Yeah, yeah, what do wait,

987
00:54:33,080 --> 00:54:34,960
Speaker 1: what do we see? First? Didn't well, and that one

988
00:54:35,000 --> 00:54:36,839
Speaker 1: it was just like a bunch of clouds and then

989
00:54:36,880 --> 00:54:39,399
Speaker 1: they were huge and then it just came out the clouds. Yeah,

990
00:54:39,520 --> 00:54:45,160
Speaker 1: they're like, what's up to fucking hover over ship? Yeah? Yeah,

991
00:54:45,320 --> 00:54:48,560
Speaker 1: that movie. I still think about that. Yeah, like what

992
00:54:48,719 --> 00:54:51,000
Speaker 1: if though? You know, now I think we're good though,

993
00:54:51,040 --> 00:54:55,120
Speaker 1: because we we just have to upload uh virus via

994
00:54:55,200 --> 00:54:58,880
Speaker 1: MacBook via MacBook they have the MacBook connection. Yeah. Perfect,

995
00:54:58,920 --> 00:55:03,120
Speaker 1: and they they're like, oh ship, it's USBC man, I

996
00:55:03,200 --> 00:55:05,839
Speaker 1: have lightning. But so that seems like a plot hole,

997
00:55:06,000 --> 00:55:09,160
Speaker 1: but they explain it because all of our computer technology

998
00:55:09,239 --> 00:55:11,359
Speaker 1: is based off their ship when one of their people

999
00:55:11,480 --> 00:55:17,080
Speaker 1: crash landed and Roswell engineered everything. So that's why we're

1000
00:55:17,120 --> 00:55:20,920
Speaker 1: able to upload it. Uh So Independence Day Truthers, I

1001
00:55:21,040 --> 00:55:24,280
Speaker 1: hear you. I'm out here for you all right. Lastly,

1002
00:55:24,600 --> 00:55:27,439
Speaker 1: the motor role a Razor is apparently coming back. Yeah,

1003
00:55:27,719 --> 00:55:30,520
Speaker 1: it's coming back in a big way. Okay, so what

1004
00:55:30,600 --> 00:55:32,800
Speaker 1: does that mean. First of all, we all just everybody

1005
00:55:32,840 --> 00:55:37,080
Speaker 1: remembers the motor Role, a razor flip phone. Remember Paris

1006
00:55:37,160 --> 00:55:40,399
Speaker 1: Hilton's favorite phone, right, So it is coming back because

1007
00:55:40,400 --> 00:55:42,719
Speaker 1: I think motor Role is now owned by Lenovo, and

1008
00:55:43,239 --> 00:55:45,800
Speaker 1: like this company has been talking about like a foldable

1009
00:55:45,880 --> 00:55:49,160
Speaker 1: smartphone for a while, and what people seem to believe

1010
00:55:49,200 --> 00:55:50,960
Speaker 1: is that this new Razor is going to be a

1011
00:55:51,040 --> 00:55:55,720
Speaker 1: straight up foldable smartphone where like there's like a heated

1012
00:55:55,880 --> 00:55:59,160
Speaker 1: hinge in it, so like it'll correct heated. Yeah, so

1013
00:55:59,239 --> 00:56:01,640
Speaker 1: like whatever you lows it like, it'll help I guess

1014
00:56:02,239 --> 00:56:05,120
Speaker 1: like iron out any of the wrinkles made from actually

1015
00:56:05,239 --> 00:56:08,120
Speaker 1: folding the screen in half. But anyway, it's gonna be

1016
00:56:08,160 --> 00:56:11,480
Speaker 1: a foldable fucking smartphone for the very affordable price of

1017
00:56:12,080 --> 00:56:15,480
Speaker 1: d dollars. That seems like too much. I mean when

1018
00:56:15,480 --> 00:56:17,600
Speaker 1: you consider most of these iPhones and our costumes, like

1019
00:56:17,719 --> 00:56:21,439
Speaker 1: eight hundred bucks a thousand bucks. So it'll just be smaller. Yeah,

1020
00:56:22,640 --> 00:56:24,640
Speaker 1: I think if it's really the size of a razor,

1021
00:56:24,960 --> 00:56:27,879
Speaker 1: that ship was like like in half, like the size

1022
00:56:27,880 --> 00:56:29,800
Speaker 1: of a credit card, or roughly around the size of

1023
00:56:29,840 --> 00:56:31,839
Speaker 1: a credit card. Yeah, I mean that would be dope.

1024
00:56:32,560 --> 00:56:35,640
Speaker 1: All right, Well let's are we throwing our Apple phones away? Yeah? Okay, great,

1025
00:56:36,080 --> 00:56:40,560
Speaker 1: Hey Lenovo, holler at us because I would love aldable smartphone.

1026
00:56:40,680 --> 00:56:42,800
Speaker 1: Although that feels like, well, what's the park of it,

1027
00:56:43,160 --> 00:56:45,319
Speaker 1: like just I mean besides you feeling like like when

1028
00:56:45,360 --> 00:56:49,759
Speaker 1: you hang up on somebody like yeah, you can give

1029
00:56:49,880 --> 00:56:53,359
Speaker 1: with the dude constantly flipping clothes that yeah, I think

1030
00:56:53,480 --> 00:56:55,680
Speaker 1: that's a selling point for me. Well and fitting in

1031
00:56:55,760 --> 00:56:58,840
Speaker 1: your pocket so you don't have to like yeah, and

1032
00:57:00,160 --> 00:57:02,919
Speaker 1: but it's gonna don't like Android or some ship. Yeah,

1033
00:57:03,200 --> 00:57:06,120
Speaker 1: and I don't know how like you can never exchange

1034
00:57:06,239 --> 00:57:09,759
Speaker 1: good videos of somebody on Android over text. I do

1035
00:57:09,920 --> 00:57:12,360
Speaker 1: not want to. I don't want to a screen that

1036
00:57:12,440 --> 00:57:15,560
Speaker 1: can fold. I mean I probably sound like an old

1037
00:57:15,600 --> 00:57:19,640
Speaker 1: dad lady who was like I don't want telephone. Yeah.

1038
00:57:20,720 --> 00:57:22,880
Speaker 1: Well we're the we're all of us people, because we're

1039
00:57:23,120 --> 00:57:25,040
Speaker 1: the only reason for this to come back. Is just

1040
00:57:27,280 --> 00:57:29,600
Speaker 1: it's just being like I remember that. I mean even

1041
00:57:29,680 --> 00:57:32,840
Speaker 1: still the razor didn't flip on the screen. You're describing

1042
00:57:33,520 --> 00:57:37,080
Speaker 1: the actual decrease being imagine like I think it would

1043
00:57:37,080 --> 00:57:42,520
Speaker 1: be like fold of magazine. That's great, right, now that

1044
00:57:43,200 --> 00:57:45,760
Speaker 1: means there might be a scene in whatever screen that

1045
00:57:45,840 --> 00:57:48,960
Speaker 1: you're looking at. It just sounds a bit dysfunctional to me,

1046
00:57:49,160 --> 00:57:52,800
Speaker 1: but you know they're probably happy that it sounds dysfunctional

1047
00:57:52,840 --> 00:57:55,400
Speaker 1: and won't make her believe. Yeah, well, you know, fold

1048
00:57:55,480 --> 00:57:57,880
Speaker 1: up your smartphones, you know, do that flex on people.

1049
00:57:58,000 --> 00:58:01,040
Speaker 1: But I guess, you know, I just hope they sort

1050
00:58:01,080 --> 00:58:03,440
Speaker 1: the ring tones out. What what ring tone are you

1051
00:58:03,520 --> 00:58:05,200
Speaker 1: hoping for? Well, you know, because like on the old

1052
00:58:05,240 --> 00:58:07,040
Speaker 1: motor ro met back back in the day, like you

1053
00:58:07,160 --> 00:58:08,919
Speaker 1: you could get ring tones, but they were like weird

1054
00:58:09,000 --> 00:58:12,200
Speaker 1: old midi files of like you'll have the fabulous Hall

1055
00:58:12,280 --> 00:58:18,880
Speaker 1: of back young and ring tone it's like versus not

1056
00:58:19,040 --> 00:58:22,360
Speaker 1: like you have actual audio files playing. You used to

1057
00:58:22,360 --> 00:58:24,640
Speaker 1: have to just settle for like some you know person

1058
00:58:24,840 --> 00:58:27,760
Speaker 1: just like like hand drawing the notes and some kind

1059
00:58:27,800 --> 00:58:33,400
Speaker 1: of company like yeah, compositions. Yeah, it would definitely generate

1060
00:58:33,440 --> 00:58:35,480
Speaker 1: another income in terms of publishing. Like you know, there

1061
00:58:35,520 --> 00:58:37,720
Speaker 1: were a lot of acts, especially hip hop acts, that

1062
00:58:38,160 --> 00:58:39,800
Speaker 1: they didn't know that ring tones were going to be

1063
00:58:39,840 --> 00:58:42,520
Speaker 1: a thing, and so it wasn't built in their contract

1064
00:58:42,640 --> 00:58:45,720
Speaker 1: to protect that, and so a lot of whoever owned

1065
00:58:46,040 --> 00:58:48,160
Speaker 1: their music or whatever made so much money off of

1066
00:58:48,240 --> 00:58:51,720
Speaker 1: the ring tone phenomenon, and they didn't because who knew. Yeah,

1067
00:58:51,960 --> 00:58:53,920
Speaker 1: because I remember they had Team Mobile on the sidekick.

1068
00:58:54,000 --> 00:58:55,760
Speaker 1: That was I think the first time, or at least

1069
00:58:55,800 --> 00:58:57,840
Speaker 1: I remember being so stoked because I was like, oh,

1070
00:58:57,880 --> 00:59:03,280
Speaker 1: look at this, I got Mike Jones tipping or Cassidy.

1071
00:59:03,480 --> 00:59:06,360
Speaker 1: I'm a hustler. The music industry knew, That's who knew.

1072
00:59:06,520 --> 00:59:09,360
Speaker 1: The music industry has been making more money over the

1073
00:59:09,440 --> 00:59:11,760
Speaker 1: past ten years than I think it ever has. They're

1074
00:59:11,800 --> 00:59:15,320
Speaker 1: just despite the woe was me in, despite all that ship,

1075
00:59:15,440 --> 00:59:18,840
Speaker 1: they just they figured out a way to make artists

1076
00:59:19,200 --> 00:59:23,360
Speaker 1: get screwed over while they continued to make all the money. Fantastic. Yeah,

1077
00:59:23,560 --> 00:59:26,240
Speaker 1: so good for them, because that's really who is making

1078
00:59:26,280 --> 00:59:29,480
Speaker 1: the music, is the people behind the industry. Yeah, just

1079
00:59:29,520 --> 00:59:32,720
Speaker 1: stay independent, guys. You know it's it's pretty easy to say.

1080
00:59:33,160 --> 00:59:35,720
Speaker 1: I think just we we brushed over the fact that

1081
00:59:35,960 --> 00:59:39,320
Speaker 1: Apple like makes it impossible to trade videos with people

1082
00:59:39,400 --> 00:59:41,920
Speaker 1: on Android. I think, like of the over tin window

1083
00:59:42,000 --> 00:59:44,440
Speaker 1: things that we ignore the fact that Apple is basically

1084
00:59:44,560 --> 00:59:47,760
Speaker 1: openly just admitting, like the way we made money for

1085
00:59:48,000 --> 00:59:52,680
Speaker 1: all these years was forced obsolescence, Like we know that now,

1086
00:59:53,000 --> 00:59:55,960
Speaker 1: Like we they were breaking our phones on purpose so

1087
00:59:56,000 --> 00:59:59,520
Speaker 1: that we would buy new phones, and we're just like, yeah, yeah, well,

1088
01:00:00,040 --> 01:00:01,480
Speaker 1: I mean it makes sense. I mean this new one

1089
01:00:01,560 --> 01:00:05,520
Speaker 1: is pretty cool. Exactly. Yeah. I spent like thirt in

1090
01:00:05,520 --> 01:00:08,160
Speaker 1: the last couple of years on the ship, but right, exactly, man,

1091
01:00:08,680 --> 01:00:12,160
Speaker 1: and their sales completely plummeted when they started letting us

1092
01:00:12,240 --> 01:00:16,120
Speaker 1: replace their batteries. Anyways, Anav, it's been so fun having you.

1093
01:00:16,280 --> 01:00:19,400
Speaker 1: Thanks for having me. Where can people find you again? Um?

1094
01:00:19,480 --> 01:00:21,880
Speaker 1: They can own every social media platform. I'm Zane A.

1095
01:00:22,040 --> 01:00:24,320
Speaker 1: Johnson z A I N A B. Johnson. I would

1096
01:00:24,360 --> 01:00:26,560
Speaker 1: really love for your listeners to check out my podcast.

1097
01:00:26,640 --> 01:00:29,480
Speaker 1: It's called Honest T with Z. It's h O n

1098
01:00:29,520 --> 01:00:33,160
Speaker 1: E S T E A with Z. That's on iTunes,

1099
01:00:33,200 --> 01:00:35,720
Speaker 1: So check that out. And I have a website, UM,

1100
01:00:35,800 --> 01:00:38,680
Speaker 1: Zane Johnson dot com, the AI N A B. Johnson

1101
01:00:38,920 --> 01:00:40,960
Speaker 1: dot com. Now, do you have any legal issues with

1102
01:00:41,160 --> 01:00:44,960
Speaker 1: the T Honest T. No, you should get them to

1103
01:00:45,000 --> 01:00:50,040
Speaker 1: sponsor you. So I would love t iced tea company also, Yeah,

1104
01:00:50,280 --> 01:00:52,160
Speaker 1: because I'm really high in seven eleven a lot of

1105
01:00:52,160 --> 01:00:56,800
Speaker 1: the time. That's funny. Honest T. Yeah, yeah, they do

1106
01:00:56,960 --> 01:01:01,400
Speaker 1: honest and the word to right Yeah yeah, yeah, yeah,

1107
01:01:01,560 --> 01:01:03,160
Speaker 1: what do you talk about on the show. I talk

1108
01:01:03,200 --> 01:01:06,920
Speaker 1: about anything and everything. Um, yeah, anything and everything. Sometimes

1109
01:01:06,960 --> 01:01:09,120
Speaker 1: it's sometimes it's like pop culture. Sometimes it's like what's

1110
01:01:09,120 --> 01:01:11,800
Speaker 1: in the news cycle. Sometimes it's just whatever is going

1111
01:01:11,840 --> 01:01:13,560
Speaker 1: on in my life. Like it could be as simple

1112
01:01:13,680 --> 01:01:16,680
Speaker 1: as one day I did an episode on me, like

1113
01:01:16,880 --> 01:01:19,040
Speaker 1: I was asking my listeners to help me be more

1114
01:01:19,760 --> 01:01:23,160
Speaker 1: empathetic in life, because I noticed that when a homeless

1115
01:01:23,200 --> 01:01:25,840
Speaker 1: person was coming towards my car one day, the first

1116
01:01:25,880 --> 01:01:28,480
Speaker 1: thing I did was locked the door, and he had

1117
01:01:28,560 --> 01:01:30,160
Speaker 1: no arms, and I was like, well, I mean, what

1118
01:01:30,240 --> 01:01:31,960
Speaker 1: could he even do to me? And and so I

1119
01:01:32,000 --> 01:01:34,400
Speaker 1: think that episode was called better Safe than Sorry, And

1120
01:01:34,480 --> 01:01:36,520
Speaker 1: I was just trying to find, like, within my own

1121
01:01:36,560 --> 01:01:39,840
Speaker 1: self a happy medium, you know, to like protect myself

1122
01:01:39,920 --> 01:01:42,960
Speaker 1: but also be way more empathetic to people who are

1123
01:01:43,640 --> 01:01:46,960
Speaker 1: suffering in the world. Um. But what's fun about my show,

1124
01:01:47,080 --> 01:01:49,240
Speaker 1: which is that I include a bunch of like sound

1125
01:01:49,280 --> 01:01:52,360
Speaker 1: bites to get you through it. Like if I mentioned anybody,

1126
01:01:52,920 --> 01:01:55,320
Speaker 1: then I'm gonna play whatever is their most popular SoundBite

1127
01:01:55,360 --> 01:01:57,680
Speaker 1: to get you to understand who I'm talking about, or

1128
01:01:58,000 --> 01:02:00,120
Speaker 1: you know, whatever, whatever clips help me make it as

1129
01:02:00,120 --> 01:02:03,320
Speaker 1: fun as possible. So check it out. And is there

1130
01:02:03,320 --> 01:02:07,080
Speaker 1: a tweet you've been enjoying a tweet? Yeah, but the

1131
01:02:07,160 --> 01:02:17,280
Speaker 1: way I said a tweet right, Um, No, Brake, I

1132
01:02:17,360 --> 01:02:20,160
Speaker 1: was thinking at that Soldier boy clip. Yes, you can

1133
01:02:20,200 --> 01:02:23,760
Speaker 1: follow me on Instagram and Twitter at miles of Gray.

1134
01:02:24,440 --> 01:02:26,600
Speaker 1: What's funny when you talk about it? Just reminded me

1135
01:02:26,720 --> 01:02:32,600
Speaker 1: that in l A on January is the like official

1136
01:02:32,680 --> 01:02:36,400
Speaker 1: homeless count where I'm gonna volunteer for it, but basically

1137
01:02:36,440 --> 01:02:38,320
Speaker 1: going around the county to try and do the largest

1138
01:02:38,800 --> 01:02:41,760
Speaker 1: like like head count to understand like how big are

1139
01:02:41,840 --> 01:02:44,360
Speaker 1: homeless community is in l A. So if you live

1140
01:02:44,400 --> 01:02:46,960
Speaker 1: in l A, please look into that and look up

1141
01:02:46,960 --> 01:02:48,880
Speaker 1: the Greater of Los Angeles Homeless Count, because that is

1142
01:02:48,960 --> 01:02:52,120
Speaker 1: they need as many volunteers as possible because we're cavasing

1143
01:02:52,160 --> 01:02:54,560
Speaker 1: like four thousand square miles to be able to count

1144
01:02:54,640 --> 01:02:57,120
Speaker 1: all of our neighbors who are living in the street.

1145
01:02:57,360 --> 01:02:59,360
Speaker 1: And I'm so sorry. I used to think that it

1146
01:02:59,480 --> 01:03:00,880
Speaker 1: was like l A was the if you if you

1147
01:03:00,960 --> 01:03:03,040
Speaker 1: had to be homeless. L A was a better place

1148
01:03:03,120 --> 01:03:05,360
Speaker 1: to be homeless because of the weather. But as you

1149
01:03:05,440 --> 01:03:09,680
Speaker 1: can see, it's getting colder and it's raining, and I

1150
01:03:09,760 --> 01:03:13,320
Speaker 1: can only imagine sometimes it's uncomfortable inside my house because

1151
01:03:13,360 --> 01:03:16,240
Speaker 1: of the way l A properties they're not really built

1152
01:03:16,280 --> 01:03:19,520
Speaker 1: with insulation, you know, and so I can only imagine

1153
01:03:19,560 --> 01:03:22,720
Speaker 1: now just being on the street. Ye awful. And it's

1154
01:03:22,720 --> 01:03:25,160
Speaker 1: good to just have to to get an understanding of

1155
01:03:25,280 --> 01:03:27,320
Speaker 1: like what the community looks like in l A too,

1156
01:03:27,360 --> 01:03:30,040
Speaker 1: because that will help hopefully, you know, like we're trying

1157
01:03:30,080 --> 01:03:32,919
Speaker 1: to build more support housing for these people. But it's

1158
01:03:33,080 --> 01:03:37,680
Speaker 1: a fight that will continue. Yes, So uh tweet I

1159
01:03:37,800 --> 01:03:41,120
Speaker 1: like comes from you know, the goddess Mariah carry Uh.

1160
01:03:41,480 --> 01:03:43,840
Speaker 1: She just on her account everybody was doing the tenure

1161
01:03:43,920 --> 01:03:47,640
Speaker 1: challenge and she just posted a picture the same picture

1162
01:03:47,680 --> 01:03:50,080
Speaker 1: twice side by side, and she goes, I don't get

1163
01:03:50,160 --> 01:03:54,320
Speaker 1: this tenure challenge time is not something I acknowledge. And

1164
01:03:54,400 --> 01:03:57,840
Speaker 1: then with the asterisk asterisk picture taken at some point

1165
01:03:57,960 --> 01:04:01,880
Speaker 1: prior to today. Okay, well you do you queen? And

1166
01:04:01,960 --> 01:04:05,200
Speaker 1: did anybody respond with like a performance from hers ten

1167
01:04:05,280 --> 01:04:10,640
Speaker 1: years ago and her phoning it in like yeah an acknowledgment.

1168
01:04:11,480 --> 01:04:16,520
Speaker 1: Come on, we already know her with her non dancing. Yes.

1169
01:04:17,080 --> 01:04:22,360
Speaker 1: But also another one is so Chris Hansen from The

1170
01:04:22,400 --> 01:04:25,479
Speaker 1: Catcher Predator he got arrested, Yeah, because he was writing

1171
01:04:25,840 --> 01:04:30,680
Speaker 1: bad checks, so someone quote tweets the TMZ thing that

1172
01:04:30,720 --> 01:04:33,160
Speaker 1: says to catch a predator. Host Chris Hansen arrested over

1173
01:04:33,240 --> 01:04:37,280
Speaker 1: bounced checks, and then Mark Norman at Mark norm in

1174
01:04:37,400 --> 01:04:40,160
Speaker 1: Quotes says do you remember me? Why don't you have

1175
01:04:40,240 --> 01:04:47,360
Speaker 1: a seat Chris Hansen cell mate? All right? Uh, you

1176
01:04:47,440 --> 01:04:50,200
Speaker 1: can find me on Twitter at Jack Undersquirrel Brian a

1177
01:04:50,280 --> 01:04:53,800
Speaker 1: couple of tweets. I liked Rachel's s y m E

1178
01:04:54,400 --> 01:04:56,600
Speaker 1: at rachel s y m E tweeter r I p

1179
01:04:56,760 --> 01:04:59,600
Speaker 1: Mary Oliver your words will live on and tweeted a

1180
01:04:59,680 --> 01:05:03,080
Speaker 1: screen cap of a poem for Mary Oliver that I

1181
01:05:03,160 --> 01:05:06,760
Speaker 1: won't read here, but it's real good, so I suggest

1182
01:05:06,800 --> 01:05:10,880
Speaker 1: people check it out. At MFC, Ericsson pointed out the

1183
01:05:11,040 --> 01:05:14,320
Speaker 1: big wheel is like an important person or a higher up,

1184
01:05:14,680 --> 01:05:17,240
Speaker 1: and then he said remember the Simpsons when Milhouse said

1185
01:05:17,280 --> 01:05:19,960
Speaker 1: his dad was quote a pretty big wheel down at

1186
01:05:20,000 --> 01:05:23,240
Speaker 1: the cracker factory. And then he said, so pretty solid

1187
01:05:23,360 --> 01:05:28,240
Speaker 1: joke by Mike is not true. Uh. And then just

1188
01:05:28,360 --> 01:05:32,200
Speaker 1: a fun tweet I liked from Britt at its Burl's

1189
01:05:32,560 --> 01:05:37,240
Speaker 1: tweeted hits blunt, blunt hits back me whoa blunt? Yeah?

1190
01:05:37,400 --> 01:05:42,800
Speaker 1: Be careful time it's you can find us on Twitter

1191
01:05:42,880 --> 01:05:45,480
Speaker 1: at Daily z Eguys for at the Daily Zeygeist on Instagram.

1192
01:05:45,520 --> 01:05:47,480
Speaker 1: We have a Facebook and page on a website, Daily

1193
01:05:47,640 --> 01:05:51,040
Speaker 1: zigeys dot com. We post our episodes and our foot Nope,

1194
01:05:51,640 --> 01:05:53,480
Speaker 1: we link off to the information that we talked about

1195
01:05:53,520 --> 01:05:56,959
Speaker 1: in today's episode, as well as the song we've write

1196
01:05:56,960 --> 01:05:59,600
Speaker 1: out on miles. What song were we writing? This is

1197
01:05:59,680 --> 01:06:02,800
Speaker 1: a tracked by Jumanji, j O, m A and j I,

1198
01:06:03,080 --> 01:06:06,600
Speaker 1: not the actual the version that's copy written. Uh. And

1199
01:06:06,720 --> 01:06:11,000
Speaker 1: this song is called Chason Rhymes featuring Sorrow. Maria. Get

1200
01:06:11,120 --> 01:06:17,120
Speaker 1: into that little low fi beat in action. You'll like it. Enjoy.

1201
01:06:17,320 --> 01:06:18,960
Speaker 1: I want to see how long you can keep that going.

1202
01:06:19,960 --> 01:06:22,520
Speaker 1: Luca steve very quickly when I begin a sentence without

1203
01:06:22,560 --> 01:06:25,880
Speaker 1: knowing how it's gonna all right, We're gonna ride out

1204
01:06:26,080 --> 01:06:29,360
Speaker 1: on that. We will be back on Tuesday. We are

1205
01:06:29,480 --> 01:06:32,960
Speaker 1: taking Monday off, yes for Martin Luther King Day. Yes, sir,

1206
01:06:33,120 --> 01:06:36,000
Speaker 1: so you know sorry, won't be there Monday, but we

1207
01:06:36,040 --> 01:06:38,680
Speaker 1: will be back Tuesday. Yes, we will to honor some

1208
01:06:38,840 --> 01:06:42,040
Speaker 1: holidays and we will see some of you this Saturday

1209
01:06:42,680 --> 01:06:44,760
Speaker 1: up in San Francisco. Okay, you already said that it's

1210
01:06:44,760 --> 01:06:47,480
Speaker 1: having a great weekend, but also please say come hang

1211
01:06:47,520 --> 01:06:50,880
Speaker 1: out with them? Yes please, we're very lowly. Uh, we're

1212
01:06:50,920 --> 01:06:58,000
Speaker 1: standing up late Saturday night, come hang out? What else?

1213
01:07:00,040 --> 01:07:09,160
Speaker 1: All right, guys, talk to you a little side mm

1214
01:07:09,320 --> 01:07:33,560
Speaker 1: hmm picking up the piece o bone Jonna Fan the

1215
01:07:33,840 --> 01:07:35,280
Speaker 1: meaning of that song