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

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Speaker 1: three of DIR Daily's Eight Guys, the podcast where we

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Speaker 1: take a deep dive into America's share consciousness using the headlines,

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Speaker 1: box office reports, TV ratings, what's trending on Google and

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Speaker 1: social media. It's Wednesday, Decever twelve, two th team. My

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Speaker 1: name is Jack O'Brien a k. Even the sun goes down,

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Speaker 1: Heroes eventually die, horoscopes often lie, and sometimes why nothing

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Speaker 1: is for sure? Nothing is for certain, nothing last forever,

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Speaker 1: but until they closed the curtain. It's him and on,

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Speaker 1: Jack O'Brien, and I'm thrilled to joined as always by

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Speaker 1: my co host Mr Miles. Yes, thank you. No singing

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Speaker 1: a KA today, I'm just calling myself Mr ten K. Gray,

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Speaker 1: thank you for getting me to ten thousand Twitter followers.

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Speaker 1: I now have a millennial savings account, as that one

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Speaker 1: Twitter said, So if I have bills, I'll reach out

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Speaker 1: to y'all for a quick thing. I know, Sarah, you

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Speaker 1: have like eighty four thousand. Uh, Jack is like thirties

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Speaker 1: something thousands. So it's nice to be in the one

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Speaker 1: comic club or five figure club or followers also a

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Speaker 1: k a a smock weed every days whatever the fund

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Speaker 1: That weird tweet was about, and myka was courtesy at

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Speaker 1: ruth O eight on mine was from Andrew Hillary. We're

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Speaker 1: throwed to be joined in our third seat by the

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Speaker 1: hilarious comedians Sarah Shaper. What's up you know? Welcome back,

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Speaker 1: Thank you, it's great to be back. It's great to

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Speaker 1: have you back. What have you been up? Oh, I've

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Speaker 1: been deep into a writing a book. Whoa, it is

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Speaker 1: ruining my life. What's the book about? If we can,

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Speaker 1: it's a memoir. I don't recommend it doing that going

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Speaker 1: into the recesses. I wrote. Um. I got the book

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Speaker 1: deal like a year ago. I wrote the first draft,

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Speaker 1: turned it in in June, and then two months went

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Speaker 1: by and I got a letter back from the editor.

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Speaker 1: It's called an editorial letter, which basically was like no,

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Speaker 1: I mean, it wasn't like that. I mean, there were

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Speaker 1: things they liked, but it was like, you need to

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Speaker 1: start over. I guess I'm not the gift of a

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Speaker 1: memoir writer that I thought I was. UM, but I

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Speaker 1: was very upset at first, and then I took a

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Speaker 1: few months to dig deeper and really think harder about it,

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Speaker 1: and they were right. I needed it to be a

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Speaker 1: better story instead of just like throwing everything at the wall.

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Speaker 1: That sounds like a terrible a couple of months, the

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Speaker 1: couple of months where you were digging deeper. Oh, I'm

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Speaker 1: still in that mode, like where I'm reading every because

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Speaker 1: I'm I'm someone who collects things from the past, and um,

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Speaker 1: I'm reading every journal entry I've ever had, touching everything

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Speaker 1: and finding, you know, because a lot of the book

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Speaker 1: has to do with my mom, and so I found

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Speaker 1: her journals, reading all of her journals and just really,

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Speaker 1: I mean, I'm just I'm ready to put it all

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Speaker 1: back in metaphorically and physically. I'm ready to put it

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Speaker 1: all back in a box and put it away and

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Speaker 1: not think about the past for so much of my life, right,

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Speaker 1: it sound like getting audited by reality. I feel like

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Speaker 1: I'm this at the end of this process, I'm gonna

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Speaker 1: I mean, I am in therapy, but this is like

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Speaker 1: an intense like examination of my life and most of

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Speaker 1: it won't even end up in the book. But I

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Speaker 1: just I'm looking for all those little details that make

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Speaker 1: a book more vibrant to read, like oh the what

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Speaker 1: was the well? Because I was like, oh, I forgot

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Speaker 1: everything in my life. That's what I felt like at first,

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Speaker 1: and then once you start reading things, you're like, oh, yeah,

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Speaker 1: I remember that whole thing, or like you know, just

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Speaker 1: the color of the wall paper and the kitchen. You know,

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Speaker 1: things like that pop back upies very strong. Imin't even

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Speaker 1: like going back through when I'm like doing taxes at

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Speaker 1: the end of the year, expenses at the end of

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Speaker 1: the year, just going through my credit and I'm just like,

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Speaker 1: whoa that remember that. Yeah, I've been in a box.

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Speaker 1: Spent eight thousand dollars at ari e I. It's very

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Speaker 1: easy to do, very easy to do because fucking long

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Speaker 1: underwears like a hundred bucks. I was fucked up over

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Speaker 1: that anyway. If you see footage of me arguing with

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Speaker 1: somebody at r I, it was because I believe that

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Speaker 1: long John should not be a hundred dollars. Yes, but

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Speaker 1: they when they quick dry material. Patagonia, Yeah, it's nice

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Speaker 1: and get way, but at least they give their like

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Speaker 1: a pretty woke company, so like they even took their

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Speaker 1: tax breaks and I think we're donating it to some

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Speaker 1: environmental fund. I don't know. Yeah, patagon yea, they need

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Speaker 1: more positive publicity. We're gonna get to know you a

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Speaker 1: little bit better in a moment, Sarah. But first we're

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Speaker 1: gonna take our listeners through what we're talking about today.

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Speaker 1: We're gonna talk about how location based tracking is already

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Speaker 1: an enormous business. Your location is already a twenty one

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Speaker 1: billion dollar business. We're gonna talk about St. Nicki Minach

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Speaker 1: patron saint of sex Crims. We're gonna talk about the

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Speaker 1: meeting yesterday between Trump and Nancy Pelosi and Chuck Schumer,

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Speaker 1: how that went, and just about his demands that the

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Speaker 1: world to pay for his border wall. Uh. And we're

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Speaker 1: gonna talk about that Nazi piece of ship getting four

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Speaker 1: d and nineteen years for killing others. Life plus Life

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Speaker 1: and Maria Bettina and other things. But first, Sarah, what

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

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Speaker 1: who you are? Um? So looked checked dead right before

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Speaker 1: I came in here, and Uh, I was like, could

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Speaker 1: it couldn't be more perfect? Tutor dollhouse. So I got

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Speaker 1: my old part of my research into myself as I

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Speaker 1: got a bunch of stuff from my house from growing up,

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Speaker 1: and I brought it to l A. And one of

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Speaker 1: the things was my old dollhouse, which is tutor style

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Speaker 1: in its architecture. It's really beat up. And I was

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Speaker 1: going to give it to a friend and let her

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Speaker 1: fix it up for her daughter. I don't have kids,

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Speaker 1: and she was like, it's too big for our space.

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Speaker 1: I mean, it's like a huge dollhouse. It's like three

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Speaker 1: ft high, it's three floors. It's beautiful. Um, and I

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Speaker 1: decided I'm going to flip this dollhouse. I'm goners, I

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Speaker 1: can't wait. I'm gonna like put it on my Instagram

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Speaker 1: and make it like a series of me flipping this dollhouse.

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Speaker 1: I can't wait. I started looking up paint colors and like, yeah,

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Speaker 1: I'm going to redo the bathroom floor with teeth. Yes,

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Speaker 1: I need to kill a few people first. That part

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Speaker 1: I haven't figured out yet, but I'll get it done. Um.

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Speaker 1: You surprised you got a lot of dentist's office people.

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Speaker 1: That is an industry. Cash for gold. People will take

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Speaker 1: the dentist's teeth, hook it up, get out of are

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Speaker 1: supposed to. That is disgusted. I mean, just teeth are gross,

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Speaker 1: But I would the idea of you doing a dollhouse

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Speaker 1: is one of the greatest things. It's me and if

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Speaker 1: you know me. This is like the most on brand

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Speaker 1: thing that I collect miniatures, anything mini. And I have

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Speaker 1: a little shelf in my several shelves in my apartment

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Speaker 1: of just mini stuff. A lot of it is from

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Speaker 1: my dollhouse growing up, like a little dishes and things

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Speaker 1: from the dollhouse. Also collect like miniature animal figurines and

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Speaker 1: anything tiny. Um and uh yeah, so I have all

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Speaker 1: my dollhouse furniture from growing up, and a lot of

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Speaker 1: it's really nice. It was like a hobby of mine.

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Speaker 1: I would like save my money and then go to

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Speaker 1: this place called the American Store, which is like a

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Speaker 1: hobby store, and I would buy the nice dollhouse furniture

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Speaker 1: from there. You know, are you going to redo the

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Speaker 1: inside the core like mid century maybe a Tutor exterior,

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Speaker 1: but the interiors yea. So I was like, it's not

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Speaker 1: like a trendy architecture, it's not mid century model. Um,

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Speaker 1: but I did look like Tutor, like modern how to

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Speaker 1: modernize the look of the outside that doesn't look so

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Speaker 1: like old English? You know? Um, but it's gonna I know,

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Speaker 1: And there was I was reading a whole website about

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Speaker 1: like just in general about Tutor, Like if you try

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Speaker 1: to modernize and make the colors more like neutral. But

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Speaker 1: it's like against the original plan, dark and light, brown

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Speaker 1: and cream color. Light should enter this house passing through

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Speaker 1: at least. But I'm gonna single window. Yeah, I gotta

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Speaker 1: shingle the roof. It's going to be great. I might

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Speaker 1: put electricity into it. You can like wire it and

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Speaker 1: put lighting. I hope that this ends up you being

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Speaker 1: a full on like construction like flipping real houses. You're like, well,

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Speaker 1: I did the ministure version. Yeah, I can do this.

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Speaker 1: Have you ever been to Gulliver's Gate, the giant like

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Speaker 1: Manhattan scale model. I haven't because it I think it

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Speaker 1: came after I, after you left me. Yeah, but I

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Speaker 1: have been in the Chicago Museum of Art or whatever.

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Speaker 1: They're big. That big museum is for Ferres Bieler and

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Speaker 1: the rent Um in the basement. We walked in and

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Speaker 1: my boyfriend was like, oh my god, Sarah, look it

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Speaker 1: was a sign. It was like miniature collection down the

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Speaker 1: stairs and I was like, and it was all dollhouse

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Speaker 1: rooms up against the wall like you looked in through

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Speaker 1: a window into a perfectly They had light coming in

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Speaker 1: from the I took pictures of them, and you can't

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Speaker 1: tell that their miniature the picture. I mean, they're so

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Speaker 1: it's so beautifully done. I was like I just had

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Speaker 1: like full body goose bumps going through that room. Well,

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Speaker 1: I hope, I hope that this story ends with you

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Speaker 1: looking at it and go, I can't give this up. Well,

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Speaker 1: I know that's the thing. I'm like where I know

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Speaker 1: I'm gonna want to keep it, But where the hell

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Speaker 1: am I? It's really there's no room in my house

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Speaker 1: for it, you know, So you need a reality show

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Speaker 1: about miniatures, because miniatures like totally capture the imagination. Like

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Speaker 1: I haven't seen it. I'm going to a miniature convention next,

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Speaker 1: like decided left Ober. It's weird because even if you

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Speaker 1: say that, I'm I'm just like when I think of

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Speaker 1: about him, like, yeah, I like little versions of stuff. Yeah,

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Speaker 1: I always wanted, Like because I don't have enough money

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Speaker 1: for a proper beams chair, I'm like, we'll get the

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Speaker 1: minute for now. I look at that in then make full,

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Speaker 1: fully functioning, you know, pieces of furniture like a dining

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Speaker 1: room table that stands and puts a leaf in. I mean, yeah,

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Speaker 1: people make stuff. That's just the people who do it

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Speaker 1: are just incredible artists on Instagram that saw the Francis

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Speaker 1: Glessner Lee collection. You know her she basically built all

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Speaker 1: these miniatures of actual murder scenes like like and that

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Speaker 1: was used to train detectives back in the day. Well,

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Speaker 1: you know the movie Hereditary, Um, the New Hormone. Oh

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Speaker 1: my god, it came. I didn't know all. I knew

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Speaker 1: it was a scary movie, and I love scary movies.

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Speaker 1: And the previouws looked really good. And in the first

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Speaker 1: scene she's making a dollhouse and my boyfriend was like,

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Speaker 1: he looked at my face. I was like, like, he

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Speaker 1: was like, this is the best. I mean, it was

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Speaker 1: an incredible doll houses. Shout out to dollhouse having a

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Speaker 1: bigger Yeah, creepy. Yeah. What is something you think is overrated? Okay,

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Speaker 1: regular size? This is really old And maybe this is

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Speaker 1: why I think it's overrated because it took me so

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Speaker 1: long to read it. But the book Eat Pray Love.

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Speaker 1: I finally read it and because a lot of people

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Speaker 1: had told me, like I got divorced and they were like,

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Speaker 1: you have to read Eat Pray Love. It's basically your life.

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Speaker 1: I'm like, I didn't go to Italy or India, like

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Speaker 1: and I listened to the audio book and I was like, gosh,

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Speaker 1: I don't know if this book would play today because

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Speaker 1: it's a little bit of a white lady going on

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Speaker 1: a journey into other cultures and sort of yeah, there's

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Speaker 1: it's a very she I thought it was, you know,

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Speaker 1: it was well written, but it wasn't what I thought

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Speaker 1: it was going to be. And it was like I

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Speaker 1: was like, oh, this is a little too you know,

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Speaker 1: fluff for me. But but there was in the audio

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Speaker 1: book she's like doing void the accents of the characters,

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Speaker 1: like is you must come to see me? And I'm like,

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Speaker 1: I don't know if that would play. She did it

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Speaker 1: very well. Wait was it the author? The author? Yeah? Yeah,

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Speaker 1: And I was a little like, I don't know, I

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Speaker 1: don't know it just it's an interesting book that I

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Speaker 1: don't know how it would be received. The same book

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Speaker 1: just about like you know, white people going on, you know,

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Speaker 1: using other cultures to like find themselves. Yeah. So but she,

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Speaker 1: you know, I thought she offered none of it was egregious,

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Speaker 1: but it was just a little bit like, yeah, I

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Speaker 1: tried to do an infinite jest as an audiobook and

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Speaker 1: I only made it like two and a half months in.

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Speaker 1: But the voices, there's like all these like voices, like

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Speaker 1: ethnic voices that the guy does and it's just really

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Speaker 1: really not Okay, it's weird. Yeah. Yeah. The one thing

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Speaker 1: I like about Elizabeth Gilbert, she gave a Ted talk

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Speaker 1: awhile back. Was really good on the idea of like

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Speaker 1: creative genius and sort of how our definition of a

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Speaker 1: genius has evolved over time. Very interesting, uh discussion for

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Speaker 1: people who are in the creative field. I'll have to

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Speaker 1: check it out, but I've not seen any probably or

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Speaker 1: read it, but it felt like, yeah, one of those

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Speaker 1: books at the time to like this is the this

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Speaker 1: is the Bible. It was very zigeisty. Yeah yeah, what

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Speaker 1: is something you think is underrated? Okay, this was really

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Speaker 1: hard for me. I don't. This is not underrated. It's

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Speaker 1: like one of the top things of the year that

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Speaker 1: everyone agrees is great. What's underrated? This is not. It's

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Speaker 1: not underrated, but it's just something I really love. I

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Speaker 1: guess I can say it's underrated because books in general

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Speaker 1: are underrated, but the book I just also an audio

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Speaker 1: book because I do a lot of travel and I

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Speaker 1: listened to books while I'm d doing long drives and

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Speaker 1: the book Educated m Um underrated in my world forgetting um.

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Speaker 1: The name of the woman who wrote it already? Is

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Speaker 1: it Educated a memoir? Yes by Tara West, Yes, Tastever,

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Speaker 1: it's a bottle woman who grew up in a survivor

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Speaker 1: the List sort of doomsday family um in the in

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Speaker 1: rural Idaho, and she never went to school. She learned

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Speaker 1: how to read and write just rudimentary and then like

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Speaker 1: studied for the A. C. T. I don't want to

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Speaker 1: spoil it too much, but she got herself into college

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Speaker 1: based on a lie essentially and showed up to college

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Speaker 1: not knowing anything, like not having of education aside from like,

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Speaker 1: I know how to whittle ship. She could like pick

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Speaker 1: apart scrap metal with her dad, who believed the end

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Speaker 1: of the world was coming and who believed everything the

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Speaker 1: Illuminati and everything was like, it is so good, It's

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Speaker 1: so beautifully written. It is. She had an actress or

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Speaker 1: a voice of our artists to the audiobook, and the

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Speaker 1: person who did it was just really really good at

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Speaker 1: the different voices and everything, and it was just I'll

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Speaker 1: get I just it's not really giving anythingway. But the

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Speaker 1: one scene that I was like, holy I mean, there's

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Speaker 1: so many holy ship moments in this book. But she's

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Speaker 1: in a class and her first semester of college, and

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Speaker 1: there's it's an art class and there's some picture and

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Speaker 1: she's like, she like, didn't understand something. You asked a

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Speaker 1: question and people were like looking at her, like what

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Speaker 1: are you crazy? And the professor was like very funny,

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Speaker 1: and she she didn't know. She's like, I know that

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Speaker 1: I'm a freak, but I don't know why they know

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Speaker 1: I am. I don't know what I just said. So

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Speaker 1: she finds out the picture or whatever she was referring

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Speaker 1: to was the hollow. She didn't know what the word

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Speaker 1: Holocaust meant. I think that's what it was. She had

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Speaker 1: never heard of the Holocaust, and like people were like

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Speaker 1: thinking she was just being a total I don't know

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Speaker 1: what that know. I I mean, just you know stuff

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Speaker 1: like that, like I and and just the oh man,

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Speaker 1: it's just all of it a relationship with her, there's

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Speaker 1: so much more to it that that's just the tip

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Speaker 1: of the iceberg of this, just the pitch of someone

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Speaker 1: who was raised as Domesday prepper goes to college and

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Speaker 1: lies they have actually no like functional education in that sense.

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Speaker 1: Of like history of these other things that yeah, sort

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Speaker 1: of she ends up going and getting like a full

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Speaker 1: ride to Cambridge for It's I with honors. That's definitely

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Speaker 1: blast from the past, Underground bunker vibe. And finally, what

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Speaker 1: is a myth? What's something people think it is true?

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Speaker 1: You know to be false? Oh, this is when I

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Speaker 1: love telling people because I read something and that it

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Speaker 1: changed my life in a real practical way, which was

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Speaker 1: there was a point where I decided, Oh, I'm just old.

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Speaker 1: Now I have to pee in the middle of the night.

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Speaker 1: Mm hmmm, Um, you don't. Yeah, you don't have to

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Speaker 1: pee in the middle Someone has brought this up before. No, no,

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Speaker 1: but this is something I think about. So you don't

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Speaker 1: have to pee in the middle of the night. You

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Speaker 1: can actually sleep through the night. It's you think you're

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Speaker 1: being woken up by the need to pee, but you

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Speaker 1: probably were just woken up by something else or disrupted

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Speaker 1: sleep in some way. And if you just go back

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Speaker 1: to sleep, you don't have to get up and pee. Um,

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Speaker 1: you can hold it. Your body can hold it till

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Speaker 1: the morning. Now something. I think There are exceptions where

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Speaker 1: it's like when you wait, when you have a dream

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Speaker 1: that you're peeing your pants. You up and you're like,

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Speaker 1: it's like an emergency. But I since I read that,

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Speaker 1: I tried it, and I have not gotten up to

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Speaker 1: pee in the middle of the night for years. Wow,

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Speaker 1: that's I didn't know that because what I started doing

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Speaker 1: was drinking less before I go to sleep. And I

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Speaker 1: was like, I do that. I'm like backloading all my

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Speaker 1: hydration like at the end of the day or like

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Speaker 1: I get home, like I drink a lot of water

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Speaker 1: and stuff. It does. And then I was like, oh,

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Speaker 1: maybe I'm just filling up too soon, which is making

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Speaker 1: me want to relieve myself in the middle of the night. Yeah.

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Speaker 1: I mean I try not to like over drink right

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Speaker 1: before I go to bed because I don't want to

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Speaker 1: even be bothered by that feeling even in the morning. Yeah.

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Speaker 1: But yeah, you don't have to pee, just go back

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Speaker 1: to back because once you get up, now you've disrupted.

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Speaker 1: Now you're really awake and like it's going to take

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Speaker 1: longer to get back to sleep. Now you've really disrupted

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Speaker 1: your sleep in a more significant way, right And if yeah,

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Speaker 1: because I was like, well, man, see if I pee,

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Speaker 1: I'll go back that's right, because I'll use that logical. Yeah,

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00:18:09,119 --> 00:18:11,439
Speaker 1: so if you just tell yourself you don't have to pee,

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Speaker 1: you just woke up, because you just woke up, it's okay,

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00:18:13,480 --> 00:18:15,520
Speaker 1: go back right, go right back, go right back to

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Speaker 1: sleep the bed. It totally fused with my perception. Yeah.

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Speaker 1: I found out that there's like medication you can take

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Speaker 1: that just basically makes it so you don't sense that

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Speaker 1: you have to pee, and like you can just go

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Speaker 1: like they get it, pe your pants. No, you just

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Speaker 1: you can just hold it way longer than you think.

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Speaker 1: It's just yeah, I mean some of it is meant.

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Speaker 1: I mean, I'm obviously I would not recommend this as

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Speaker 1: someone who's like like bladder infection are like a prostate

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Speaker 1: issue or something like where they really do have to

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Speaker 1: pee all the time. I don't want you to pe

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Speaker 1: your bed. Yeah, if you suddenly you've now convinced yourself

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Speaker 1: I have to pee in the middle of the night

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Speaker 1: all the time and you didn't before, maybe that's psychological,

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Speaker 1: like yawning, like I feel like you can psych yourself

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Speaker 1: out of out having to pay too much. Maybe because yeah,

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Speaker 1: like surgeons take that medication. That's how I found it out,

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Speaker 1: was surgeons take it if they have a long surgeony,

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Speaker 1: I don't want to. They just I feel like if

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Speaker 1: you're a surgeon, that's like the one job you can

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Speaker 1: be yourself and no one can give you ship. Yeah

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Speaker 1: you doing open heart surgery. Oh I can't be like, Okay,

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00:19:21,560 --> 00:19:23,680
Speaker 1: well let my patients die on the table, get the

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00:19:23,720 --> 00:19:26,440
Speaker 1: funk out of here. Yeah, maybe I pood to a little.

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Speaker 1: You just really very complex, really put it to use.

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Speaker 1: The excuse farting goes on and operating oh man, yeah,

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Speaker 1: just made me think about that. You know that that's

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Speaker 1: got to happen because are like right laughing right when

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Speaker 1: you can't do a loud one, because then you could

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Speaker 1: the surgical staff could start laughing. Right. Ah See, these

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00:19:48,400 --> 00:19:51,200
Speaker 1: agins investigations, we need to do surgeons of the brows

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Speaker 1: of the medical community. So they're probably are oh yeah

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Speaker 1: really yeah, just because they're like hot ship because they're

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Speaker 1: like they have a specialty or whatever. And it's the

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Speaker 1: one where you actually benefit from like not having too

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Speaker 1: much empathy because you're just like treating the human body

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Speaker 1: like a piece of meat. So it's like really empathetic

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Speaker 1: humanistic people, whereas like people who are just like cocky

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Speaker 1: and like I'm a god, I can do this like

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00:20:18,560 --> 00:20:22,639
Speaker 1: this person like thinking about that, like you're you're under

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Speaker 1: in a season, someone's operating and they're just like shred

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00:20:26,280 --> 00:20:35,200
Speaker 1: this bit right, watch flame order dog? Wait, hold on, kids,

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00:20:36,040 --> 00:20:39,439
Speaker 1: you know the nurses keep that And I'm stereotyping nurses

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00:20:39,520 --> 00:20:42,400
Speaker 1: is being generally female, but I think statistically they are.

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Speaker 1: But like even nurses keep that in check, right, Chad,

382
00:20:45,840 --> 00:20:49,280
Speaker 1: stop it, stop it. Chad Chadwick are like the most

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00:20:49,320 --> 00:20:55,120
Speaker 1: important people at the hospital. Hell yeah, they're content, right yeah, Um,

384
00:20:55,200 --> 00:20:57,400
Speaker 1: we should explain that a little something for to kids

385
00:20:57,480 --> 00:21:00,000
Speaker 1: is something that's super producer Nick Stump's friend used to

386
00:21:00,080 --> 00:21:03,720
Speaker 1: say before far for farting is back in old d c.

387
00:21:05,920 --> 00:21:11,479
Speaker 1: Oh my god, so stupid, and it's become habitual here. Yes, anyway,

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00:21:11,520 --> 00:21:15,120
Speaker 1: no surgeons do that though. No, No, we're gonna take

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00:21:15,160 --> 00:21:27,560
Speaker 1: a quick break. We'll be right back. And we're back,

390
00:21:28,000 --> 00:21:31,080
Speaker 1: and we wanted to start off just checking in with

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00:21:31,400 --> 00:21:37,800
Speaker 1: st Nikki of man, not of sex crimson. Blessed are

392
00:21:37,840 --> 00:21:41,480
Speaker 1: those who commit sex crimes and are dating Nicki Minaj.

393
00:21:41,920 --> 00:21:45,199
Speaker 1: She will keep for you no matter what, so you

394
00:21:45,240 --> 00:21:46,840
Speaker 1: know that she and now she had a new boyfriend,

395
00:21:47,040 --> 00:21:49,480
Speaker 1: this guy Kenneth petty and he looks like a nice

396
00:21:49,480 --> 00:21:51,400
Speaker 1: guys forty years old. They were used to know each

397
00:21:51,400 --> 00:21:53,440
Speaker 1: other in high school. Is a nice build. Oh, he's

398
00:21:53,480 --> 00:21:57,520
Speaker 1: also a convicted sex offender. Okay, and he was charged

399
00:21:57,680 --> 00:22:01,440
Speaker 1: with basically using a sharp object to coerce a six

400
00:22:01,560 --> 00:22:03,119
Speaker 1: year old into having sex with him when he was

401
00:22:03,160 --> 00:22:07,760
Speaker 1: also a minor. But still he is threatening someone with

402
00:22:07,880 --> 00:22:11,119
Speaker 1: a sharp object for sex. And then she was like

403
00:22:11,160 --> 00:22:13,000
Speaker 1: in her comments being like, you guys can try and

404
00:22:13,080 --> 00:22:16,959
Speaker 1: ruin my life, go ahead, but you can't go off internet. Uh.

405
00:22:17,400 --> 00:22:20,080
Speaker 1: And then he also when he got out for that crime,

406
00:22:20,119 --> 00:22:21,680
Speaker 1: he also went back in because he shot a guy

407
00:22:21,720 --> 00:22:24,800
Speaker 1: and was convicted first three manslaughter and it just I

408
00:22:24,840 --> 00:22:26,480
Speaker 1: don't know. It just seemed to be a theme with

409
00:22:26,600 --> 00:22:28,600
Speaker 1: Nicki Minaj because when she was on a track with

410
00:22:28,600 --> 00:22:31,520
Speaker 1: Takashi six nine, people were like, what are you going on?

411
00:22:31,680 --> 00:22:34,720
Speaker 1: This guy was played guilty to using a child in

412
00:22:34,760 --> 00:22:39,159
Speaker 1: a sexual performance. Takashi, Yeah, there was like a he

413
00:22:39,200 --> 00:22:41,320
Speaker 1: was in some video where there was like a minor

414
00:22:41,640 --> 00:22:44,080
Speaker 1: doing some sex actors. I didn't know who that was

415
00:22:44,200 --> 00:22:48,679
Speaker 1: until literally he was at night. I literally had never

416
00:22:48,720 --> 00:22:52,520
Speaker 1: heard it of him, and my boyfriend was like, going off,

417
00:22:52,680 --> 00:22:54,640
Speaker 1: he's like, I don't want to sound like an old man,

418
00:22:55,920 --> 00:22:59,439
Speaker 1: but wrap these days, I mean, there's something wrong. And

419
00:22:59,480 --> 00:23:01,919
Speaker 1: I was like what, and he's like this guy took cash.

420
00:23:02,000 --> 00:23:04,320
Speaker 1: She sticks nine. He shows me this video of him

421
00:23:04,359 --> 00:23:08,840
Speaker 1: freestyling like in an ocean, and I thought it was

422
00:23:08,880 --> 00:23:11,440
Speaker 1: a prank, Like I thought it was the worst. It

423
00:23:11,560 --> 00:23:14,719
Speaker 1: was like it was would be me freestyling, right, Yo.

424
00:23:15,119 --> 00:23:18,040
Speaker 1: He's like a lot of delays like yo, hold on,

425
00:23:18,240 --> 00:23:21,919
Speaker 1: I'm in the ocean, nothing trying to get in motion.

426
00:23:22,160 --> 00:23:29,240
Speaker 1: Ye Like yeah, it's like bros around him are like wisdom,

427
00:23:29,280 --> 00:23:32,479
Speaker 1: you know, like there it's the world. I was like

428
00:23:32,520 --> 00:23:36,600
Speaker 1: this something is going on. The bar is getting lower

429
00:23:36,640 --> 00:23:40,479
Speaker 1: and lower because motherfucker's aren't even clever anymore with rhyming.

430
00:23:40,520 --> 00:23:45,040
Speaker 1: It's just like but there's also yeah, like everything like

431
00:23:45,240 --> 00:23:47,919
Speaker 1: many art forms, as it gets easier to kind of

432
00:23:48,000 --> 00:23:49,919
Speaker 1: jump in, there's a lot of crap. There's a lot

433
00:23:50,000 --> 00:23:52,640
Speaker 1: of garbage too, And yeah, he's really popular. A lot

434
00:23:52,640 --> 00:23:54,760
Speaker 1: of people, like especially in New York radio like EBRO

435
00:23:54,880 --> 00:23:57,000
Speaker 1: on Hot nineties seven, people are like, why are you

436
00:23:56,960 --> 00:23:59,879
Speaker 1: always hating on him? Because, like, dude, the guy's trashys

437
00:23:59,920 --> 00:24:02,800
Speaker 1: like just you already diverge from the topic at him. Yeah,

438
00:24:02,840 --> 00:24:05,720
Speaker 1: I truly was had never even heard of him. Yeah,

439
00:24:05,760 --> 00:24:08,480
Speaker 1: there's a lot of oh my what, But you know,

440
00:24:08,920 --> 00:24:10,560
Speaker 1: I feel the same way. But I'm an old head,

441
00:24:10,760 --> 00:24:13,720
Speaker 1: as they say. But also I don't I don't actually

442
00:24:13,720 --> 00:24:17,000
Speaker 1: see sort of objectively like where the artistry is for him.

443
00:24:17,000 --> 00:24:19,359
Speaker 1: I get his energy. I think might be infectious. And

444
00:24:19,359 --> 00:24:21,359
Speaker 1: if you're an angry teen and you don't know what

445
00:24:21,400 --> 00:24:23,760
Speaker 1: to make sense of the world, then just resonates with you.

446
00:24:23,840 --> 00:24:26,120
Speaker 1: That's what we were talking about, is that now our

447
00:24:26,160 --> 00:24:29,520
Speaker 1: generation grew up with rap, right, so our parents could go,

448
00:24:29,560 --> 00:24:32,120
Speaker 1: that's not music just because it's so different than think

449
00:24:32,160 --> 00:24:34,159
Speaker 1: we've heard. But now we're in a world where older

450
00:24:34,200 --> 00:24:37,520
Speaker 1: people are like, that's not real rap. Rap is from

451
00:24:37,560 --> 00:24:40,160
Speaker 1: when I was, you know. It's like it's this whole

452
00:24:40,160 --> 00:24:43,560
Speaker 1: new world of feeling old. Yeah no. And but then

453
00:24:43,840 --> 00:24:45,600
Speaker 1: to go along with it, you have people like Takaju,

454
00:24:45,680 --> 00:24:49,440
Speaker 1: who's like on paper, have engaged in criminal ship. He's

455
00:24:49,480 --> 00:24:53,320
Speaker 1: facing a possible life sentence on some like reco charges like, yeah,

456
00:24:54,840 --> 00:24:58,119
Speaker 1: not a great guy, and I don't get it music

457
00:24:58,200 --> 00:25:01,440
Speaker 1: was Nikki, what are you doing? And yeah, I feel

458
00:25:01,440 --> 00:25:06,280
Speaker 1: like there's just always a cloud of sexual crime following

459
00:25:06,480 --> 00:25:12,639
Speaker 1: her around her brother had like convictively awful ship. Maybe

460
00:25:12,680 --> 00:25:16,360
Speaker 1: she has like a lower threshold, yeah, because she's been

461
00:25:16,400 --> 00:25:18,920
Speaker 1: around it, so she's like it's not that bad, right,

462
00:25:18,920 --> 00:25:20,840
Speaker 1: It could be, yeah, for sure, but it's just funny

463
00:25:20,840 --> 00:25:22,560
Speaker 1: because like, yeah, those are times when she like butts

464
00:25:22,560 --> 00:25:25,119
Speaker 1: heads with fans, like or the ones who may not

465
00:25:25,200 --> 00:25:28,520
Speaker 1: be total Barbie crew who are willing to overlook everything.

466
00:25:28,560 --> 00:25:31,679
Speaker 1: But right, yeah, who do you think is more loyal

467
00:25:32,080 --> 00:25:37,480
Speaker 1: Barbies or Trump supporters? Trump supporters, Yeah, because at this

468
00:25:37,520 --> 00:25:41,840
Speaker 1: point he's a sex crime, racist, everything, and they're still

469
00:25:41,840 --> 00:25:46,080
Speaker 1: like yeah, yeah, yeah, don't even surprised me, Like he

470
00:25:46,160 --> 00:25:49,199
Speaker 1: could shoot a guy and I'm his sex criminality and

471
00:25:49,480 --> 00:25:55,240
Speaker 1: racism are the like monster verse of like what he does,

472
00:25:55,320 --> 00:26:00,560
Speaker 1: like he that's the thing that made them like, yeah,

473
00:26:00,760 --> 00:26:06,000
Speaker 1: go off the best. I wanted to talk real quick

474
00:26:06,000 --> 00:26:09,080
Speaker 1: about this New York Times story about location based tracking,

475
00:26:09,080 --> 00:26:11,199
Speaker 1: which is something that I was like vaguely aware was

476
00:26:11,200 --> 00:26:15,760
Speaker 1: happening in the background of my smartphone, and it's apparently

477
00:26:15,760 --> 00:26:18,920
Speaker 1: a twenty one billion dollar business. What the idea that

478
00:26:19,160 --> 00:26:21,800
Speaker 1: an app will track you are serving people? What is

479
00:26:21,800 --> 00:26:24,359
Speaker 1: it they're selling the data? They're selling your data? So

480
00:26:24,440 --> 00:26:28,959
Speaker 1: apps that track your location are keeping extremely close tabs

481
00:26:28,960 --> 00:26:32,359
Speaker 1: on where you are. They know where you live. They like, no, okay,

482
00:26:32,440 --> 00:26:35,159
Speaker 1: you're the only person who moves from this house to

483
00:26:35,359 --> 00:26:39,479
Speaker 1: this pace, like on a regular basis. And IBM just

484
00:26:39,520 --> 00:26:42,760
Speaker 1: bought the weather Channels app because the weather Channel is

485
00:26:42,800 --> 00:26:44,919
Speaker 1: like one of those apps that you always leave the

486
00:26:45,040 --> 00:26:48,720
Speaker 1: location service on. Four Square remade itself as a location

487
00:26:48,760 --> 00:26:51,720
Speaker 1: marketing company, but twenty one billion dollars as an industry,

488
00:26:52,080 --> 00:26:55,360
Speaker 1: like to put that in perspective, like billboards and outdoor

489
00:26:55,760 --> 00:26:59,359
Speaker 1: marketing is a seven point one billion dollar industry, and

490
00:26:59,440 --> 00:27:04,880
Speaker 1: that's like the highest it's ever been, So it's like, yeah,

491
00:27:04,920 --> 00:27:07,320
Speaker 1: it's triple that. And that's a thing that we all know.

492
00:27:07,520 --> 00:27:10,359
Speaker 1: We all know we're under the influence of, like billboards

493
00:27:10,440 --> 00:27:13,200
Speaker 1: when we see them, because they're just right there. That's

494
00:27:13,200 --> 00:27:19,480
Speaker 1: why I love altered Carbon right on Netflix. And Netflix

495
00:27:19,560 --> 00:27:24,280
Speaker 1: is a joke. But yeah, there's this completely invisible industry

496
00:27:24,320 --> 00:27:28,800
Speaker 1: that I know. I don't know them well. But it

497
00:27:28,840 --> 00:27:31,080
Speaker 1: was like in a social gathering and this person was

498
00:27:31,119 --> 00:27:37,160
Speaker 1: talking about how she worked briefly for Google and it's

499
00:27:37,200 --> 00:27:40,840
Speaker 1: probably against illegal for her to tell me this story,

500
00:27:41,119 --> 00:27:44,800
Speaker 1: so no one will know who I'm talking about. She

501
00:27:44,920 --> 00:27:48,640
Speaker 1: said that her job was simply to put this device

502
00:27:48,720 --> 00:27:51,800
Speaker 1: in her purse and find a reason to go into

503
00:27:51,880 --> 00:27:55,919
Speaker 1: local business and stay in there long enough until she

504
00:27:56,000 --> 00:27:58,920
Speaker 1: felt it vibrate, and then she would get to leave.

505
00:27:59,240 --> 00:28:03,280
Speaker 1: And she never knew what it was for what, but

506
00:28:03,480 --> 00:28:06,440
Speaker 1: she quit after a short while because it was making

507
00:28:06,440 --> 00:28:09,000
Speaker 1: her so uncomfortable, because she was like she'd have to

508
00:28:09,240 --> 00:28:11,440
Speaker 1: like an optomat, like go in and be like, oh,

509
00:28:11,480 --> 00:28:13,159
Speaker 1: I'm just looking at glasses, you know, and just have

510
00:28:13,280 --> 00:28:14,800
Speaker 1: to like make up a reason to be in there.

511
00:28:14,880 --> 00:28:17,600
Speaker 1: And then mid sentence at beef since she's just like like, oh,

512
00:28:17,760 --> 00:28:23,439
Speaker 1: I'm I don't change my mind. And she said she

513
00:28:23,640 --> 00:28:28,520
Speaker 1: thinks that it was like surveying the space, that it

514
00:28:28,600 --> 00:28:32,239
Speaker 1: was like measuring, like sending out little signals and like

515
00:28:32,560 --> 00:28:36,119
Speaker 1: creating sort of like a map of the store, and

516
00:28:36,160 --> 00:28:38,080
Speaker 1: then that data was going to be sold, So Google

517
00:28:38,160 --> 00:28:40,160
Speaker 1: was going to sell that data back to the businesses

518
00:28:40,200 --> 00:28:42,800
Speaker 1: and go we can track. Because she's like it was

519
00:28:42,840 --> 00:28:45,080
Speaker 1: something to do with what you're talking about, where they

520
00:28:45,120 --> 00:28:47,959
Speaker 1: were mapping the store, and then that data could be

521
00:28:48,080 --> 00:28:50,880
Speaker 1: used in conjunction with people's phones so they could find

522
00:28:50,880 --> 00:28:52,880
Speaker 1: out how long does someone stay at the front of

523
00:28:52,880 --> 00:28:55,680
Speaker 1: the store. How long did they stay in the back

524
00:28:55,720 --> 00:28:58,240
Speaker 1: of the store. I mean, we're talking like splitting bears

525
00:28:58,280 --> 00:29:00,320
Speaker 1: down and that's what this, that's what this is. They

526
00:29:00,320 --> 00:29:03,640
Speaker 1: were looking this rack for five minutes, so that rack

527
00:29:03,760 --> 00:29:08,560
Speaker 1: is very successful. Whereas yeah, that that that display was

528
00:29:08,560 --> 00:29:11,240
Speaker 1: was affect you get high engagement in the left quad

529
00:29:11,280 --> 00:29:14,280
Speaker 1: lower left quadruple. Companies are buying this stuff. I mean,

530
00:29:14,320 --> 00:29:17,000
Speaker 1: it's crazy. Personally, I'm just pissed that I don't have

531
00:29:17,080 --> 00:29:19,920
Speaker 1: access to that information, because I bet it's fascinating. Like

532
00:29:20,080 --> 00:29:22,840
Speaker 1: there's all sorts of interesting ship about like how humans

533
00:29:22,880 --> 00:29:25,200
Speaker 1: move in groups, like the way that they lay out

534
00:29:25,200 --> 00:29:28,600
Speaker 1: grocery stores, like they lay it out this way because

535
00:29:28,640 --> 00:29:31,880
Speaker 1: that's like the direction that humans circle. And also Cal's

536
00:29:31,920 --> 00:29:35,120
Speaker 1: circle in that direction, like we all we prefer to

537
00:29:35,160 --> 00:29:39,120
Speaker 1: go counterclockwise. But then there was a change because Whole Foods,

538
00:29:39,160 --> 00:29:42,520
Speaker 1: to like make themselves seem different, changed it up so

539
00:29:42,560 --> 00:29:45,680
Speaker 1: that their direction was in a different direction. And now

540
00:29:45,800 --> 00:29:47,800
Speaker 1: everybody wants to be like Whole food so they changed

541
00:29:47,840 --> 00:29:53,320
Speaker 1: it to the opposite directions. Just weird. McDonald's they designed mean,

542
00:29:53,360 --> 00:29:55,480
Speaker 1: there's a million examples of this and McDonald's, but they

543
00:29:55,480 --> 00:29:59,840
Speaker 1: designed their their booths to become uncomfortable after twenty minutes, Right,

544
00:30:00,480 --> 00:30:03,040
Speaker 1: you're right, they don't want you to stay in there

545
00:30:03,080 --> 00:30:08,200
Speaker 1: long enough to go. This is disgusting, right, Like read

546
00:30:08,240 --> 00:30:11,000
Speaker 1: and yellow are the proven colors that like make you

547
00:30:11,080 --> 00:30:15,920
Speaker 1: uncomfortable and you want to get out area and their stressors,

548
00:30:15,960 --> 00:30:19,880
Speaker 1: so like, yeah, it's like they researched everything. Red is

549
00:30:19,920 --> 00:30:23,080
Speaker 1: also a stimulant, so it like causes it makes you

550
00:30:23,120 --> 00:30:26,760
Speaker 1: more likely to make impulse decisions. Yeah, but then after

551
00:30:26,800 --> 00:30:29,680
Speaker 1: twenty minutes, you're like, wait, why are the floors so slippery?

552
00:30:29,880 --> 00:30:33,720
Speaker 1: Is that fat just in the air that they don't

553
00:30:33,760 --> 00:30:40,640
Speaker 1: want think? Uh? Alright, let's talk about the president and

554
00:30:41,240 --> 00:30:45,640
Speaker 1: his wall. He's back at it because it's still doing

555
00:30:45,720 --> 00:30:49,000
Speaker 1: well and the only polling that matters, which is when

556
00:30:49,040 --> 00:30:51,719
Speaker 1: he yells it at a rally, people will chant it

557
00:30:51,760 --> 00:30:54,480
Speaker 1: back at him. Um. One of the ways this story

558
00:30:54,520 --> 00:30:57,320
Speaker 1: is getting picked up is that there are several outlets

559
00:30:57,360 --> 00:30:59,760
Speaker 1: saying the fact that he's saying that he's just gonna

560
00:30:59,800 --> 00:31:02,160
Speaker 1: make the military to it if Congress won't give him

561
00:31:02,400 --> 00:31:08,080
Speaker 1: the permission to dedicate five billion dollars to building the wall.

562
00:31:08,480 --> 00:31:12,200
Speaker 1: The Democratic leaders planned to offer Trump one point three

563
00:31:12,240 --> 00:31:16,640
Speaker 1: billion which mathematically is less than five billion, I believe,

564
00:31:17,920 --> 00:31:21,560
Speaker 1: master negotiator. Uh So he's like, fine, I'll just make

565
00:31:21,600 --> 00:31:25,560
Speaker 1: the military do it. But that is illegal unless you

566
00:31:25,680 --> 00:31:33,160
Speaker 1: get approval from Congress declaring war or something. It's more

567
00:31:33,200 --> 00:31:35,400
Speaker 1: like a budgetary thing, like you can't take funds that

568
00:31:35,440 --> 00:31:38,520
Speaker 1: have been designated for military defense and then just begin

569
00:31:38,640 --> 00:31:41,600
Speaker 1: using those for border security. It's like that's money that

570
00:31:41,800 --> 00:31:43,920
Speaker 1: as a Congress we agreed to us for X, Y

571
00:31:43,920 --> 00:31:47,560
Speaker 1: and Z in the d D. First. You can't be like, oh,

572
00:31:47,600 --> 00:31:49,640
Speaker 1: I think, well, since there's money there and they have,

573
00:31:50,000 --> 00:31:51,800
Speaker 1: I can use the Army Corps of Engineers, I think

574
00:31:51,880 --> 00:31:54,840
Speaker 1: is what his logic is. They'll just build that. But

575
00:31:55,080 --> 00:31:58,080
Speaker 1: that isn't gonna work. And Poppy also, do you forget

576
00:31:58,160 --> 00:32:01,920
Speaker 1: you told everybody Mexico was going to pay right, so

577
00:32:02,000 --> 00:32:04,680
Speaker 1: what happened has forgotten about what happened there? My man,

578
00:32:04,840 --> 00:32:07,240
Speaker 1: they love that one too. At the rallies, who's gonna

579
00:32:07,240 --> 00:32:10,320
Speaker 1: pay for it? Mexico cut to them being like each ship.

580
00:32:13,000 --> 00:32:16,640
Speaker 1: Um yeah, So I guess that also fed into today's

581
00:32:16,840 --> 00:32:21,240
Speaker 1: really awesome Oval Office petty fight. Petty showed down between

582
00:32:21,280 --> 00:32:24,320
Speaker 1: Chuck Schumer, Nancy Pelosi, Trump, and Pence who Mike Pence

583
00:32:24,360 --> 00:32:26,960
Speaker 1: credit to him, kept his mouth shut the whole time

584
00:32:27,000 --> 00:32:30,120
Speaker 1: because he was like, oh god, what a fucking mess

585
00:32:30,200 --> 00:32:32,520
Speaker 1: this is? Is there is there like a shift going

586
00:32:32,560 --> 00:32:35,160
Speaker 1: on where Pence is like, all right, I needed to

587
00:32:35,200 --> 00:32:38,000
Speaker 1: start thinking about my job. Yeah, because like, am I

588
00:32:38,040 --> 00:32:40,640
Speaker 1: about to be his chief of staff? Just turned down

589
00:32:40,760 --> 00:32:43,120
Speaker 1: the chief staff job, the first person to ever turn

590
00:32:43,200 --> 00:32:45,960
Speaker 1: that job down like that. I just feel like there

591
00:32:46,120 --> 00:32:49,520
Speaker 1: was a shift maybe over the past week where once

592
00:32:49,560 --> 00:32:52,320
Speaker 1: the Muller stuff started coming out that he was directly

593
00:32:52,680 --> 00:32:55,560
Speaker 1: implicated that people are like, all right, we gotta start

594
00:32:55,560 --> 00:32:59,040
Speaker 1: thinking about what happens this. But yeah, Pence kept his

595
00:32:59,120 --> 00:33:01,440
Speaker 1: mouth shut. It was great because the whole thing it

596
00:33:01,480 --> 00:33:03,280
Speaker 1: was just meant to be one of those photo ops

597
00:33:03,320 --> 00:33:05,400
Speaker 1: where they're in the Oval office and you say, we're

598
00:33:05,480 --> 00:33:09,200
Speaker 1: about to talk about this thing, right, get the photos, Okay,

599
00:33:09,240 --> 00:33:12,520
Speaker 1: everybody clear out, and then we can beget negotiating. But

600
00:33:12,760 --> 00:33:15,480
Speaker 1: Trump was doing he was real fucking messy with it

601
00:33:15,520 --> 00:33:17,080
Speaker 1: from the beginning. He was really trying to paint it

602
00:33:17,120 --> 00:33:19,680
Speaker 1: as like, you know, I take border security very seriously,

603
00:33:19,760 --> 00:33:22,720
Speaker 1: national security is very important to me. Unfortunately Democrats don't agree.

604
00:33:22,720 --> 00:33:24,400
Speaker 1: Blah blah blah. You know, I want the wall, and

605
00:33:24,480 --> 00:33:28,520
Speaker 1: just framing it as if no border equals no national security.

606
00:33:28,600 --> 00:33:32,840
Speaker 1: There for Democrats are bad patriots. And then he petulantly

607
00:33:32,920 --> 00:33:35,280
Speaker 1: goes to Nancy Posy, goes, Nancy, do you want to

608
00:33:35,360 --> 00:33:37,720
Speaker 1: say something? And so she just started truth talking and

609
00:33:37,720 --> 00:33:39,760
Speaker 1: she was like, thank you, Mr President, let me tell

610
00:33:39,760 --> 00:33:42,360
Speaker 1: you why everything you just said was wrong, not even

611
00:33:42,440 --> 00:33:45,479
Speaker 1: that aggressively. I just sort of began saying things that

612
00:33:45,520 --> 00:33:49,000
Speaker 1: we're talking, yeah, exactly. And his first mistake was letting

613
00:33:49,000 --> 00:33:51,360
Speaker 1: a woman speak, because we all know he hates women

614
00:33:51,640 --> 00:33:55,040
Speaker 1: who are smarter than him, which are all women most

615
00:33:55,040 --> 00:33:57,560
Speaker 1: of the time. And so they go on, they start

616
00:33:57,560 --> 00:34:00,720
Speaker 1: going back and forth. He cannot stop interrupting him. But

617
00:34:00,760 --> 00:34:02,440
Speaker 1: there are a few moments that I think we just

618
00:34:02,480 --> 00:34:04,760
Speaker 1: wanted to point out because they were very, very just

619
00:34:04,840 --> 00:34:08,480
Speaker 1: kind of it's telling that uh, Nancy Plosian, Chuck were

620
00:34:08,480 --> 00:34:10,600
Speaker 1: just like just they didn't they didn't care. They didn't

621
00:34:10,640 --> 00:34:12,319
Speaker 1: like the fact that he was doing all of this

622
00:34:12,560 --> 00:34:14,600
Speaker 1: ship in front of the press, so they let it

623
00:34:14,600 --> 00:34:16,960
Speaker 1: be known. So, uh, one of the first clips we're

624
00:34:16,960 --> 00:34:19,960
Speaker 1: gonna play is where Trump is basically incorrectly saying that,

625
00:34:20,160 --> 00:34:21,759
Speaker 1: you know, he could get the wall Bilt but he

626
00:34:21,880 --> 00:34:24,200
Speaker 1: just doesn't have the votes in the Senate, and Chuck

627
00:34:24,239 --> 00:34:26,840
Speaker 1: Schumer's just blocking him. But he could do it in

628
00:34:26,880 --> 00:34:29,319
Speaker 1: the House if you wanted to, because he runs the

629
00:34:29,360 --> 00:34:34,640
Speaker 1: House or whatever. You sure, my guy, so is he?

630
00:34:35,040 --> 00:34:37,319
Speaker 1: They're even Republicans in the House who don't want to

631
00:34:37,320 --> 00:34:39,200
Speaker 1: because there are people who are also like, it's a

632
00:34:39,239 --> 00:34:41,880
Speaker 1: lot of money if you're really like the few deficit

633
00:34:41,920 --> 00:34:43,840
Speaker 1: hawks there are, they don't like the month, the cost

634
00:34:43,880 --> 00:34:46,320
Speaker 1: of it. And also if you are in an area

635
00:34:46,360 --> 00:34:48,880
Speaker 1: where you're not in a solidly red district that is

636
00:34:48,960 --> 00:34:52,200
Speaker 1: wildly unpopular with independent voters or anyone you may have

637
00:34:52,239 --> 00:34:55,000
Speaker 1: to win over, especially have like people of color there

638
00:34:55,000 --> 00:34:57,440
Speaker 1: who are just like this is a fucking just racist monument,

639
00:34:57,719 --> 00:35:00,000
Speaker 1: like this is the House is a little bit trickier play,

640
00:35:00,400 --> 00:35:02,719
Speaker 1: most if not all Democrats are gonna say no. So

641
00:35:02,800 --> 00:35:06,240
Speaker 1: he's dealing with slim margins here. Now that the Senate

642
00:35:06,320 --> 00:35:08,359
Speaker 1: is a difference, I mean, like they have numbers, but

643
00:35:08,400 --> 00:35:11,080
Speaker 1: they also need any more votes than you actually think.

644
00:35:11,160 --> 00:35:14,160
Speaker 1: So anyway, this is Nancy Pelosi telling Trump to pull

645
00:35:14,239 --> 00:35:16,960
Speaker 1: up with that energy. But there are no votes in

646
00:35:17,040 --> 00:35:20,319
Speaker 1: the House a majority vote for a wall, no matter

647
00:35:21,960 --> 00:35:24,120
Speaker 1: if I needed the votes for the wall in the House.

648
00:35:24,239 --> 00:35:27,560
Speaker 1: I would have them in one session. You don't do it,

649
00:35:28,840 --> 00:35:32,160
Speaker 1: do it, they'll do it, please by all the inser. Okay,

650
00:35:33,160 --> 00:35:35,239
Speaker 1: So that was okay, So things were heating up a

651
00:35:35,280 --> 00:35:39,120
Speaker 1: little bit. Uh. And then at that point Trump is

652
00:35:39,160 --> 00:35:40,759
Speaker 1: just basically saying, well, if I don't get the wall,

653
00:35:40,760 --> 00:35:43,040
Speaker 1: then I'll shut down the government. And Schumer e Poia like,

654
00:35:43,120 --> 00:35:46,480
Speaker 1: we don't want to do that. That is bad for people.

655
00:35:46,520 --> 00:35:48,680
Speaker 1: That holds things up, that causes a lot of chaos

656
00:35:48,760 --> 00:35:50,640
Speaker 1: and d C. And for people who out of work. Yeah,

657
00:35:50,680 --> 00:35:52,960
Speaker 1: people who are dependent on government services. It is not

658
00:35:53,040 --> 00:35:55,480
Speaker 1: a good thing. We're telling you. Because he spent the

659
00:35:55,520 --> 00:35:58,600
Speaker 1: beginning part saying it's everything's really great at the border.

660
00:35:58,680 --> 00:36:02,040
Speaker 1: Right now, we're stopped. This like was making up weird

661
00:36:02,080 --> 00:36:04,680
Speaker 1: facts that not even they could follow where these statistics

662
00:36:04,680 --> 00:36:07,080
Speaker 1: were created because he was saying the wall is working

663
00:36:07,520 --> 00:36:11,239
Speaker 1: it we're stopping. Yeah, he said he they caught ten

664
00:36:11,400 --> 00:36:15,879
Speaker 1: terrorists at the southern border, but the wall doesn't exist, right.

665
00:36:15,920 --> 00:36:18,400
Speaker 1: But that's where he's being caught in lying and also

666
00:36:18,440 --> 00:36:20,640
Speaker 1: trying to paint himself as a guy who's doing well.

667
00:36:20,680 --> 00:36:22,640
Speaker 1: So then Chuck Schummers like, well, if it's doing fine,

668
00:36:22,640 --> 00:36:24,360
Speaker 1: then that's what I'm saying. I'm offering the same funding

669
00:36:24,360 --> 00:36:26,080
Speaker 1: I offered you last year, and if he's doing well,

670
00:36:26,120 --> 00:36:28,239
Speaker 1: then what's the problem, Like, we'll only build on that.

671
00:36:28,560 --> 00:36:30,960
Speaker 1: He also said, you've only spent six percent of the

672
00:36:30,960 --> 00:36:33,560
Speaker 1: one point three billion we allocated last year, so why

673
00:36:33,640 --> 00:36:35,239
Speaker 1: do you need even more money now? You haven't even

674
00:36:35,320 --> 00:36:38,360
Speaker 1: used one point three billion, So anyway, So then he

675
00:36:38,400 --> 00:36:40,560
Speaker 1: really puffs his chest down and just sort of saying like,

676
00:36:40,600 --> 00:36:42,200
Speaker 1: I want my fucking wall. I don't care if the

677
00:36:42,239 --> 00:36:45,000
Speaker 1: government shuts down. I'll take the hit because that's how

678
00:36:45,080 --> 00:36:47,480
Speaker 1: down for the wall I am. And I think that

679
00:36:47,560 --> 00:36:49,960
Speaker 1: even confused everyone else, because like, you don't want to

680
00:36:50,000 --> 00:36:53,880
Speaker 1: own this at all. So I am proud to shut

681
00:36:53,920 --> 00:36:57,160
Speaker 1: down the government for border security, Chuck, because the people

682
00:36:57,200 --> 00:37:00,680
Speaker 1: of this country don't want criminals and people that have

683
00:37:00,800 --> 00:37:04,160
Speaker 1: lots of problems and drugs pouring into our country. So

684
00:37:04,480 --> 00:37:06,839
Speaker 1: I will take the mantle. I will be the one

685
00:37:06,960 --> 00:37:08,920
Speaker 1: to shut it down. I'm not gonna blame you for

686
00:37:08,960 --> 00:37:10,919
Speaker 1: the last time you shut it down it didn't work.

687
00:37:11,040 --> 00:37:13,359
Speaker 1: I will take the mantle of shutting down and I'm

688
00:37:13,360 --> 00:37:16,839
Speaker 1: gonna shut it down for border But you shouldn't shut

689
00:37:16,840 --> 00:37:26,200
Speaker 1: it down, Thank you very much everybody. That's how people

690
00:37:25,000 --> 00:37:29,120
Speaker 1: think that you gave up the peat. The one card

691
00:37:29,160 --> 00:37:31,000
Speaker 1: you have to play a shutdown thing is to be

692
00:37:31,080 --> 00:37:32,919
Speaker 1: like it was them and when you're out here being

693
00:37:33,320 --> 00:37:37,840
Speaker 1: I will take the blame. Uh yeah. But one final

694
00:37:37,920 --> 00:37:39,560
Speaker 1: parting gift I just do want to leave with you

695
00:37:39,840 --> 00:37:42,239
Speaker 1: is when Chuck Schumer just counterpunched the ship out of

696
00:37:42,239 --> 00:37:45,320
Speaker 1: Trump because at one point Nancy Pelosi brought up the idea.

697
00:37:45,480 --> 00:37:46,960
Speaker 1: She was like, well, you know, the problem in the

698
00:37:47,000 --> 00:37:49,640
Speaker 1: House is you also have Republicans fifty or so of

699
00:37:49,680 --> 00:37:52,680
Speaker 1: my colleagues who will be leaving office because of the

700
00:37:52,840 --> 00:37:55,840
Speaker 1: unsure direction of this administration, being like you had a

701
00:37:55,880 --> 00:37:59,040
Speaker 1: losing strategy midterms and got torched, and so he started,

702
00:37:59,120 --> 00:38:00,480
Speaker 1: but I want to send it. I don't want to

703
00:38:00,480 --> 00:38:03,120
Speaker 1: send it. And this is him getting really defensive about

704
00:38:03,120 --> 00:38:04,919
Speaker 1: how he won the Senate, and Schumer with a great

705
00:38:04,960 --> 00:38:08,720
Speaker 1: clap back, excuse me, did we win the Senate? The Senate?

706
00:38:09,000 --> 00:38:12,160
Speaker 1: When the President braggs that he won North Dakota and Indiana,

707
00:38:12,280 --> 00:38:19,799
Speaker 1: he's in real trouble. What stop Schumer? Although I do

708
00:38:19,880 --> 00:38:23,160
Speaker 1: not like how you've done things up to this point,

709
00:38:23,200 --> 00:38:26,120
Speaker 1: I did like that clip that was pretty good. So yeah,

710
00:38:26,320 --> 00:38:29,040
Speaker 1: it was you know, this is I think a preview

711
00:38:29,040 --> 00:38:32,480
Speaker 1: of things to come of what could happen with especially

712
00:38:32,560 --> 00:38:36,279
Speaker 1: Nancy Pelosi. Now, I mean I think some commentators were like, oh,

713
00:38:36,320 --> 00:38:38,200
Speaker 1: I don't know if that that's gonna look good for her,

714
00:38:38,320 --> 00:38:40,680
Speaker 1: people who like, you know, want to have her be

715
00:38:40,800 --> 00:38:42,719
Speaker 1: speaker if they want to work with the president. It's like,

716
00:38:42,719 --> 00:38:44,000
Speaker 1: I don't know how many people are really being like,

717
00:38:44,040 --> 00:38:45,760
Speaker 1: we want a Nancy Pelosi because she's going to work

718
00:38:45,840 --> 00:38:48,359
Speaker 1: with the president so much as like someone who's gonna

719
00:38:48,400 --> 00:38:50,839
Speaker 1: stand up for like what Democrats are trying to do

720
00:38:51,280 --> 00:38:55,640
Speaker 1: and not caved and appease this man. So we'll see. Yeah,

721
00:38:55,840 --> 00:38:58,399
Speaker 1: And then just real quick on the president, just going

722
00:38:58,440 --> 00:39:01,080
Speaker 1: with what we were saying earlier about maybe people kind

723
00:39:01,120 --> 00:39:05,799
Speaker 1: of backing away from him. A Judge Napolitano, who has

724
00:39:05,840 --> 00:39:09,839
Speaker 1: always been a source of great frustration on my end

725
00:39:09,840 --> 00:39:12,239
Speaker 1: when I look at Fox News clips of him and

726
00:39:12,320 --> 00:39:15,400
Speaker 1: he's just you know, seems to exist in a different universe.

727
00:39:15,680 --> 00:39:18,319
Speaker 1: He came out and said that Trump may actually be

728
00:39:18,400 --> 00:39:20,239
Speaker 1: in trouble, and it was the first time that he

729
00:39:20,320 --> 00:39:23,879
Speaker 1: seemed to acknowledge that. Yeah, I mean He's always sort

730
00:39:23,920 --> 00:39:26,640
Speaker 1: of flip flopped, like he'll do things like be like, yeah,

731
00:39:26,680 --> 00:39:30,040
Speaker 1: maybe Obama did do some wire tapping to put saying

732
00:39:30,040 --> 00:39:32,040
Speaker 1: that ship in his ear, but then also be like,

733
00:39:32,400 --> 00:39:35,320
Speaker 1: I'm on Jim Acostas side, he didn't Judo chop anyone.

734
00:39:35,400 --> 00:39:38,040
Speaker 1: This is wrong. Uh, And then like but when it

735
00:39:38,040 --> 00:39:40,680
Speaker 1: comes like legal stuff, he typically will put his judge

736
00:39:40,680 --> 00:39:43,400
Speaker 1: hat on and be like, this is not good even

737
00:39:43,440 --> 00:39:46,480
Speaker 1: to me, a sycophan. So yeah, this is a his

738
00:39:46,880 --> 00:39:50,000
Speaker 1: very sane take on the legal jeopardy the president might

739
00:39:50,000 --> 00:39:52,799
Speaker 1: be in. What's your position on what we think we

740
00:39:52,880 --> 00:39:55,560
Speaker 1: know right now is of late Friday, that's the most

741
00:39:55,960 --> 00:40:00,279
Speaker 1: dangerous to the president. Filing last week was the link

742
00:40:00,360 --> 00:40:03,400
Speaker 1: by federal prosecutors here in New York, professional prosecutors, not

743
00:40:03,480 --> 00:40:07,520
Speaker 1: Bob Mueller's team, saying that the president paid Michael Cohen

744
00:40:08,000 --> 00:40:10,000
Speaker 1: to commit a crime. Now, under the law, that would

745
00:40:10,080 --> 00:40:13,319
Speaker 1: make the president as criminally liable as Michael Cohen. So

746
00:40:13,360 --> 00:40:15,640
Speaker 1: if you pay me to shoot somebody and I shoot them,

747
00:40:15,640 --> 00:40:17,720
Speaker 1: you're as liable as if you had pulled the trigger.

748
00:40:17,760 --> 00:40:20,800
Speaker 1: That's the basic principle of law. This is the Southern

749
00:40:20,840 --> 00:40:23,799
Speaker 1: District of New York. This is the oldest and most

750
00:40:23,840 --> 00:40:27,719
Speaker 1: prestigious federal prosecutor's office in the country. They would not

751
00:40:27,840 --> 00:40:29,880
Speaker 1: make an allegation like that if they did not have

752
00:40:30,120 --> 00:40:33,760
Speaker 1: corroborated evidence to support it. And they cannot make an

753
00:40:33,880 --> 00:40:36,439
Speaker 1: allegation like that unless they're gonna do something with it now.

754
00:40:37,280 --> 00:40:40,279
Speaker 1: Director Comey is right. The Justice Department has all kinds

755
00:40:40,320 --> 00:40:43,600
Speaker 1: of rules and regulations. They have three legal opinions and

756
00:40:43,680 --> 00:40:46,799
Speaker 1: whether a sitting president commundited to say no, and one

757
00:40:46,840 --> 00:40:50,320
Speaker 1: says yes, but all three agree that if the Statute

758
00:40:50,320 --> 00:40:54,479
Speaker 1: of Limitations is about to expire, then the government needs

759
00:40:54,480 --> 00:40:57,160
Speaker 1: to do something to stop the running of the Statue limitations,

760
00:40:57,160 --> 00:40:59,800
Speaker 1: which would mean a secret indictment about which the public

761
00:40:59,840 --> 00:41:04,840
Speaker 1: does no. M I don't know how you watch Fox

762
00:41:04,840 --> 00:41:07,399
Speaker 1: in or like He's gonna be fine, no crusion, It's

763
00:41:07,400 --> 00:41:10,880
Speaker 1: all good. Yeah, I saw earlier today a headline and

764
00:41:11,040 --> 00:41:14,160
Speaker 1: click on it. Yet but about that, some you know

765
00:41:14,200 --> 00:41:19,040
Speaker 1: Trumpkin like Maga people are starting to actually go like, oh,

766
00:41:19,160 --> 00:41:21,600
Speaker 1: maybe there is something to work out, like some of

767
00:41:21,719 --> 00:41:24,160
Speaker 1: his hardcore fans. That's the most like the fact that

768
00:41:24,200 --> 00:41:29,440
Speaker 1: you needed this much yeah information to be to be suspicious.

769
00:41:29,520 --> 00:41:32,960
Speaker 1: It's really disappointing, right, it's like he's cheating on you

770
00:41:33,040 --> 00:41:34,920
Speaker 1: just because I found that underwear that's not mine, as

771
00:41:34,920 --> 00:41:36,759
Speaker 1: card as he's cheating him, he's cheating on you. Just

772
00:41:36,760 --> 00:41:39,360
Speaker 1: because you your cousins saw him with that woman. Doesn't

773
00:41:39,360 --> 00:41:41,839
Speaker 1: mean he's cheating on you. Here's a video of him

774
00:41:41,840 --> 00:41:46,920
Speaker 1: fucking this woman. Maybe he's cheating. I don't know, maybe right,

775
00:41:48,320 --> 00:41:51,520
Speaker 1: maybe not. Maybe he's doing Yeah, I don't know how you.

776
00:41:52,080 --> 00:41:56,600
Speaker 1: I don't know what's going to happen. It's so unprecedented. Yeah, so,

777
00:41:56,640 --> 00:41:58,560
Speaker 1: I mean he seemed to be saying that the Mueller

778
00:41:58,680 --> 00:42:03,200
Speaker 1: investigation doesn't worry him for the president, but the whole

779
00:42:03,320 --> 00:42:06,800
Speaker 1: paying off Stormy Daniels, paying off you know, well because

780
00:42:06,840 --> 00:42:09,560
Speaker 1: there's they have actually come out with the connective tissue

781
00:42:09,680 --> 00:42:11,399
Speaker 1: like this is what it is. And also he's just

782
00:42:11,600 --> 00:42:15,319
Speaker 1: that's his partisan shot to be like respected prosecutors, not

783
00:42:15,520 --> 00:42:19,040
Speaker 1: Mueller's people. Like okay, he still had to show you

784
00:42:19,080 --> 00:42:20,680
Speaker 1: he was still Fox. I mean, the thing that you

785
00:42:20,680 --> 00:42:24,200
Speaker 1: always here is that John Edwards did the same thing.

786
00:42:24,280 --> 00:42:28,160
Speaker 1: He paid a woman off for paid sush money, hush

787
00:42:28,239 --> 00:42:32,360
Speaker 1: money to keep a affair quiet, and it didn't his

788
00:42:32,400 --> 00:42:34,880
Speaker 1: wife was dying, well, his wife was dying and it

789
00:42:35,000 --> 00:42:38,120
Speaker 1: wasn't good for his political career, but it did like

790
00:42:38,280 --> 00:42:41,640
Speaker 1: get taken to court, but then it ultimately got you know,

791
00:42:41,760 --> 00:42:43,480
Speaker 1: he he was not found guilty. I think it was

792
00:42:43,520 --> 00:42:45,520
Speaker 1: a hungry right. Well. I think in a lot of

793
00:42:45,520 --> 00:42:47,520
Speaker 1: people they take the misstep of just point of the

794
00:42:47,560 --> 00:42:50,359
Speaker 1: fact that he wasn't convicted as saying these aren't really

795
00:42:50,360 --> 00:42:53,680
Speaker 1: bad things, rather than they clearly found it up as

796
00:42:53,719 --> 00:42:57,879
Speaker 1: a prosecutable offense. Prosecutors believe that the judge thoughts so

797
00:42:58,200 --> 00:43:00,200
Speaker 1: it's just that they didn't have the evidence in their

798
00:43:00,239 --> 00:43:02,640
Speaker 1: case to be like, yeah, this is this is what

799
00:43:02,680 --> 00:43:05,600
Speaker 1: he did, and here's the proof. Whereas now you're looking

800
00:43:05,640 --> 00:43:07,360
Speaker 1: at like you have people like Michael Cohen who have

801
00:43:07,480 --> 00:43:10,760
Speaker 1: who's already like admitted to being guilty to doing this stuff.

802
00:43:11,000 --> 00:43:13,000
Speaker 1: There's a huge difference in those cases. But I think

803
00:43:13,160 --> 00:43:17,000
Speaker 1: as a precedent that does exist in terms of Trump

804
00:43:17,000 --> 00:43:19,000
Speaker 1: being liable for this kind of behavior. Yeah, this Times

805
00:43:19,080 --> 00:43:22,399
Speaker 1: article was saying that Edwards case had little corroboration from

806
00:43:22,400 --> 00:43:26,759
Speaker 1: other key figures in the transaction, whereas Trump's case has

807
00:43:26,800 --> 00:43:29,880
Speaker 1: the guy who had made the transaction like he told

808
00:43:29,880 --> 00:43:32,200
Speaker 1: me to do it. Yeah, And even though as much

809
00:43:32,239 --> 00:43:34,160
Speaker 1: as he tries to dismiss it, and the GOP they've

810
00:43:34,160 --> 00:43:37,840
Speaker 1: also done the well is it really like crime? And

811
00:43:37,920 --> 00:43:40,200
Speaker 1: Kevin McCarthy was like, well, then a lot of people

812
00:43:40,200 --> 00:43:42,680
Speaker 1: if that's campaign finance violation, a lot of us have

813
00:43:42,760 --> 00:43:45,080
Speaker 1: to go, I'm sorry, so all you'll do camp what

814
00:43:45,480 --> 00:43:49,680
Speaker 1: are you saying? So it's a very very strange time

815
00:43:49,719 --> 00:43:52,640
Speaker 1: for them because you can only say crimes are aren't crimes?

816
00:43:52,640 --> 00:43:55,279
Speaker 1: Truth is in truth so much until like you really

817
00:43:55,280 --> 00:43:57,879
Speaker 1: got to pay the piper. And I mean, one thing

818
00:43:58,520 --> 00:44:02,960
Speaker 1: the Judge Napolitano mentioned at the end is the possibility

819
00:44:03,080 --> 00:44:06,560
Speaker 1: that they can actually file because you know, they've said

820
00:44:06,600 --> 00:44:10,480
Speaker 1: that they won't indict a sitting president and people have

821
00:44:10,520 --> 00:44:12,040
Speaker 1: taken that to me and oh, he can just run

822
00:44:12,080 --> 00:44:15,239
Speaker 1: out the clock and you know, if he gets reelected,

823
00:44:15,280 --> 00:44:19,360
Speaker 1: then he'll be past the statute of limitations. And I

824
00:44:19,400 --> 00:44:22,480
Speaker 1: think the judge pointed out that you could actually file

825
00:44:22,719 --> 00:44:28,279
Speaker 1: a secret indictment secrets secrets, so that would actually like

826
00:44:28,520 --> 00:44:32,600
Speaker 1: stop the clock on the Statute of limitations. So that

827
00:44:33,600 --> 00:44:36,560
Speaker 1: but if we never find out about it, well I

828
00:44:36,640 --> 00:44:42,960
Speaker 1: think we would the second he that's assuming we all

829
00:44:43,000 --> 00:44:46,440
Speaker 1: survive to see the end of his administration, which we

830
00:44:46,520 --> 00:44:49,200
Speaker 1: shall see. All right, we're going to take another quick break.

831
00:44:49,200 --> 00:45:03,320
Speaker 1: We'll be right back, and we're back. And we talked

832
00:45:03,520 --> 00:45:08,480
Speaker 1: yesterday on our episode with Paige Weldon about Airbnb, and

833
00:45:09,200 --> 00:45:13,640
Speaker 1: she said that Airbnb is overrated and they reached out

834
00:45:13,680 --> 00:45:17,200
Speaker 1: to us and apparently they're great now, so we love them.

835
00:45:17,280 --> 00:45:22,920
Speaker 1: Use Yeah, so I mentioned a long read yesterday which

836
00:45:23,160 --> 00:45:27,200
Speaker 1: happened to occur because the journalist who reported it was

837
00:45:27,280 --> 00:45:29,879
Speaker 1: the son of the person who was killed by this

838
00:45:29,960 --> 00:45:33,480
Speaker 1: faulty swing at an Airbnb that their family was renting.

839
00:45:34,280 --> 00:45:37,400
Speaker 1: So a faulty swing. Yeah, his dad went out and

840
00:45:37,440 --> 00:45:39,760
Speaker 1: sat on a swing that was hanging from a branch

841
00:45:39,800 --> 00:45:42,920
Speaker 1: of a tree and the tree was dead and the

842
00:45:43,000 --> 00:45:45,839
Speaker 1: branch just tore off and hit him in the head

843
00:45:45,880 --> 00:45:50,000
Speaker 1: and killed him. And yeah, it was just like, it's

844
00:45:50,040 --> 00:45:52,840
Speaker 1: the sort of thing that wouldn't happen at a hotel

845
00:45:53,120 --> 00:45:58,919
Speaker 1: or like any other rental property that had standards for safety, um,

846
00:45:59,000 --> 00:46:02,239
Speaker 1: but at least maintenance of things right. And so that

847
00:46:02,360 --> 00:46:05,520
Speaker 1: that was the point they were making. And because the

848
00:46:05,560 --> 00:46:07,440
Speaker 1: person writing it was the son of the person who

849
00:46:07,480 --> 00:46:09,840
Speaker 1: was killed, he sort of had a lot of interaction

850
00:46:09,960 --> 00:46:13,880
Speaker 1: with Airbnb through the legal process, and they just you know,

851
00:46:14,560 --> 00:46:18,120
Speaker 1: got rid of any obligation to you know, make things

852
00:46:18,239 --> 00:46:21,799
Speaker 1: right and just put all the all the legal reliability

853
00:46:21,840 --> 00:46:24,920
Speaker 1: on the people who owned the house. Um, So that

854
00:46:25,000 --> 00:46:27,640
Speaker 1: was just I was wondering if that was like one

855
00:46:27,800 --> 00:46:30,720
Speaker 1: bizarre one off or a sign that there's a larger

856
00:46:30,760 --> 00:46:33,040
Speaker 1: problem with Airbnb and they've just done a good job

857
00:46:33,080 --> 00:46:35,719
Speaker 1: of keeping a lid on it. And there have been

858
00:46:35,760 --> 00:46:38,840
Speaker 1: a couple other high profile stories. And actually I was

859
00:46:38,920 --> 00:46:41,319
Speaker 1: just looking at the cover of the USA today as

860
00:46:41,360 --> 00:46:44,759
Speaker 1: I do because I'm eighty years old, and um, they

861
00:46:44,800 --> 00:46:47,480
Speaker 1: had an article actually about how Airbnb is sort of

862
00:46:47,520 --> 00:46:50,240
Speaker 1: taking a hit because a lot of these high profile

863
00:46:50,400 --> 00:46:53,960
Speaker 1: deaths that have happened in the past couple months have

864
00:46:54,080 --> 00:46:56,560
Speaker 1: happened at Airbnb. So there was a woman who went

865
00:46:56,600 --> 00:46:59,440
Speaker 1: missing last week in Costa Rica. She had taken a

866
00:46:59,520 --> 00:47:03,759
Speaker 1: vacation there to celebrate her thirty sixth birthday, I think,

867
00:47:04,120 --> 00:47:07,200
Speaker 1: and was murdered by the security guard at the villas

868
00:47:07,280 --> 00:47:12,280
Speaker 1: she was airbnbing. And then a New Orleans couple died

869
00:47:12,360 --> 00:47:15,400
Speaker 1: from a carbon monoxide leak at a home in Mexico

870
00:47:15,480 --> 00:47:18,399
Speaker 1: that they were airbnbing. And a family of four from

871
00:47:18,400 --> 00:47:22,439
Speaker 1: Iowa died into loom in a condo with a propane leak,

872
00:47:23,120 --> 00:47:25,359
Speaker 1: which you can normally smell, but apparently that was just

873
00:47:25,400 --> 00:47:27,880
Speaker 1: like so overpowering it killed them all quick enough that

874
00:47:27,920 --> 00:47:30,239
Speaker 1: they couldn't get out of the house. That last one

875
00:47:30,280 --> 00:47:33,200
Speaker 1: was actually home away. But it's basically the same model

876
00:47:33,360 --> 00:47:37,479
Speaker 1: of this huge new industry of people who are just like, yeah,

877
00:47:37,520 --> 00:47:40,719
Speaker 1: you can come stay at my death trap. And you know,

878
00:47:40,760 --> 00:47:43,200
Speaker 1: the question they asked is could Airbnb have done anything

879
00:47:43,239 --> 00:47:47,120
Speaker 1: to prevent these deaths? And because it's the USA today,

880
00:47:47,160 --> 00:47:49,960
Speaker 1: they're not like going in hard. They just said. In

881
00:47:49,960 --> 00:47:52,880
Speaker 1: the case of the carbon monoxide poisoning, Airbnb says that

882
00:47:52,960 --> 00:47:56,480
Speaker 1: it requires its hosts to follow the laws of the city, state,

883
00:47:56,560 --> 00:47:59,399
Speaker 1: and country in which it is located. It won't list

884
00:47:59,440 --> 00:48:02,399
Speaker 1: property and less hosts agree to do this, so it's

885
00:48:02,480 --> 00:48:04,520
Speaker 1: just like a box you check, like do you agree

886
00:48:04,560 --> 00:48:09,040
Speaker 1: to follow up totally. Mexico does not require smoke or

887
00:48:09,080 --> 00:48:13,320
Speaker 1: carbon monoxide detectors in every household. Airbnb distributes free smoke

888
00:48:13,400 --> 00:48:17,040
Speaker 1: and carbon monoxide detectors to hosts who request it, right

889
00:48:17,239 --> 00:48:19,520
Speaker 1: to people who request it, so they're not even saying,

890
00:48:19,520 --> 00:48:20,719
Speaker 1: if you want to do this, you have to put

891
00:48:20,719 --> 00:48:22,319
Speaker 1: one of these ships up in your house. Right, they're

892
00:48:22,360 --> 00:48:23,960
Speaker 1: just saying, if you want one, will give you one.

893
00:48:24,000 --> 00:48:26,959
Speaker 1: But this is just Airbnb's business model essentially is they've

894
00:48:26,960 --> 00:48:29,400
Speaker 1: taken away the difficult part of you know, all the

895
00:48:29,480 --> 00:48:33,279
Speaker 1: red tape and regulations, that word that has come to

896
00:48:33,360 --> 00:48:35,759
Speaker 1: be like a bad thing in America, even though it's

897
00:48:35,800 --> 00:48:39,319
Speaker 1: like they're to save people's lives, uh, and they get

898
00:48:39,360 --> 00:48:43,320
Speaker 1: to just ingest these rental properties into their company without

899
00:48:43,360 --> 00:48:48,600
Speaker 1: having any actual standards. Yeah, I travel so much, and

900
00:48:48,719 --> 00:48:51,120
Speaker 1: in the beginning I was because I would do a

901
00:48:51,160 --> 00:48:53,200
Speaker 1: lot of colleges and you get paid a flat fee

902
00:48:53,600 --> 00:48:56,040
Speaker 1: and so you're paying for your own travel out of that.

903
00:48:56,200 --> 00:48:57,920
Speaker 1: So I would try to cut corners and save as

904
00:48:57,960 --> 00:48:59,840
Speaker 1: much money as possible. And over time I just realized

905
00:49:00,080 --> 00:49:03,680
Speaker 1: being be in general, I did not feel safe. Just

906
00:49:04,320 --> 00:49:06,920
Speaker 1: you know, you get there and you're like, oh, this

907
00:49:06,960 --> 00:49:08,480
Speaker 1: isn't what I thought it was going to be, and

908
00:49:09,200 --> 00:49:11,560
Speaker 1: this or this is it smells weird in here and

909
00:49:12,440 --> 00:49:15,839
Speaker 1: there was like two dogs fighting, you know, like just

910
00:49:15,920 --> 00:49:25,000
Speaker 1: in the room. So I do hotels normally, I've had

911
00:49:25,239 --> 00:49:26,759
Speaker 1: sometimes I will do an airb and me and I've

912
00:49:26,760 --> 00:49:30,000
Speaker 1: had great experiences, but in general, these types of services

913
00:49:30,040 --> 00:49:33,239
Speaker 1: are like risky and like Uber, I like had a

914
00:49:33,280 --> 00:49:35,640
Speaker 1: traumatic experience and I just don't want to ever take

915
00:49:35,680 --> 00:49:38,359
Speaker 1: a lift or an uber again. And it wasn't that bad,

916
00:49:38,400 --> 00:49:40,640
Speaker 1: but it was enough to scare me enough. Like it

917
00:49:40,719 --> 00:49:43,800
Speaker 1: was me and my boyfriend. We got picked up seven am,

918
00:49:44,040 --> 00:49:46,560
Speaker 1: go to the airport. Um, they know they're taking me

919
00:49:46,600 --> 00:49:50,439
Speaker 1: to the airport, it's not like a surprise, and get

920
00:49:50,440 --> 00:49:55,560
Speaker 1: in and the guy was like blasting tainted love at

921
00:49:55,560 --> 00:49:58,000
Speaker 1: seven am, and he had kind of a crazy look

922
00:49:58,040 --> 00:50:00,600
Speaker 1: to him, like he was like did he just wake

923
00:50:00,680 --> 00:50:04,840
Speaker 1: up or is he coming down? Yeah, And my boyfriend

924
00:50:04,880 --> 00:50:07,799
Speaker 1: was like, hey, the base is really loud back here,

925
00:50:08,040 --> 00:50:10,040
Speaker 1: the levels, Like he was trying to make it so

926
00:50:10,080 --> 00:50:12,040
Speaker 1: it wasn't like it's too loud. He was trying to

927
00:50:12,040 --> 00:50:15,080
Speaker 1: be like, oh, you don't understand how it is. Yeah,

928
00:50:15,120 --> 00:50:17,719
Speaker 1: he was like could you turn the base down? And

929
00:50:19,040 --> 00:50:21,200
Speaker 1: he was like kind of looked confused and started turning

930
00:50:21,200 --> 00:50:23,200
Speaker 1: it down, and I was like trying to lighten the moves.

931
00:50:23,239 --> 00:50:26,440
Speaker 1: I was like, it's bumping back here and uh he

932
00:50:27,440 --> 00:50:33,319
Speaker 1: dramatically his name is Jonathan. Jonathan dramatically in made an

933
00:50:33,360 --> 00:50:36,640
Speaker 1: illegal you turn in like rush hour traffic like near

934
00:50:36,680 --> 00:50:39,040
Speaker 1: our house or maybe two minutes away from our house

935
00:50:39,040 --> 00:50:42,040
Speaker 1: at this point and lambs on the brakes at the

936
00:50:42,080 --> 00:50:44,200
Speaker 1: side of the street and goes, I'm taking you back,

937
00:50:44,760 --> 00:50:47,320
Speaker 1: and I was like what. I was so confused. He

938
00:50:47,400 --> 00:50:49,239
Speaker 1: was like, I'm dropping you off and I was like

939
00:50:49,400 --> 00:50:51,880
Speaker 1: why and he it was like because we asked to

940
00:50:51,920 --> 00:50:53,960
Speaker 1: turn the music down. He was like, just your general

941
00:50:53,960 --> 00:50:58,000
Speaker 1: attitude and he took off, speeding down are like skinny

942
00:50:58,120 --> 00:51:01,040
Speaker 1: scary street, slams on the breaks in front, got our

943
00:51:01,160 --> 00:51:05,640
Speaker 1: luggage out, which I thought was weird, and looked at

944
00:51:05,719 --> 00:51:09,720
Speaker 1: us like, have a nice life and I've got charged

945
00:51:09,760 --> 00:51:11,520
Speaker 1: eight dollars for it. I was like, come on, and

946
00:51:11,560 --> 00:51:14,560
Speaker 1: I decided not to even I gave him one star review,

947
00:51:14,560 --> 00:51:17,759
Speaker 1: but I did not like go after Uber. I just

948
00:51:17,920 --> 00:51:20,200
Speaker 1: was like, I'm not I don't want to deal with this,

949
00:51:20,320 --> 00:51:23,759
Speaker 1: but like it was so like it took enough time

950
00:51:23,760 --> 00:51:25,239
Speaker 1: where we felt like we had to drive, and then

951
00:51:25,239 --> 00:51:26,759
Speaker 1: we had to pay so much for parking at the

952
00:51:26,800 --> 00:51:30,239
Speaker 1: report and it was this whole thing. So anyway, since then,

953
00:51:30,280 --> 00:51:33,800
Speaker 1: I've been really I don't want to take Uber ever again.

954
00:51:35,080 --> 00:51:38,200
Speaker 1: You have one bad experience and it's like I don't

955
00:51:38,360 --> 00:51:40,640
Speaker 1: what am I What have I been doing? I've just

956
00:51:40,719 --> 00:51:44,080
Speaker 1: been getting in the car with these total most of

957
00:51:44,080 --> 00:51:46,520
Speaker 1: them are professional and very people just trying to make it.

958
00:51:46,600 --> 00:51:49,919
Speaker 1: My brother in law drives uber and it's a second job.

959
00:51:50,000 --> 00:51:52,720
Speaker 1: Like you know, they're just trying to make extra money,

960
00:51:52,760 --> 00:51:54,439
Speaker 1: but you just don't know who it is. Well, it's

961
00:51:54,440 --> 00:51:56,640
Speaker 1: hard to regulate too, because like even when people have

962
00:51:56,680 --> 00:51:59,239
Speaker 1: complaints about a driver, you don't know what their methodology

963
00:51:59,280 --> 00:52:01,080
Speaker 1: is for addressing that. It can be like, oh, we

964
00:52:01,120 --> 00:52:04,400
Speaker 1: spoke to them and they're fine because we were almost

965
00:52:04,400 --> 00:52:08,719
Speaker 1: a perfect five star review, like, you know, so we

966
00:52:08,800 --> 00:52:10,960
Speaker 1: got him on a day that he was crazy, I mean,

967
00:52:11,040 --> 00:52:14,239
Speaker 1: like what you know, and my boyfriend like he was

968
00:52:14,320 --> 00:52:17,279
Speaker 1: like stopped talking because he was like I can tell

969
00:52:17,280 --> 00:52:21,759
Speaker 1: this guy's nuts, you know. And so yeah, I mean

970
00:52:21,840 --> 00:52:25,040
Speaker 1: that is somewhere with air you just don't really know

971
00:52:25,600 --> 00:52:27,800
Speaker 1: what you're getting yourself into. I mean, that's the entire

972
00:52:27,840 --> 00:52:31,400
Speaker 1: business model is they've taken away the difficult part and

973
00:52:31,719 --> 00:52:35,239
Speaker 1: they put all the liability on the people who are

974
00:52:35,280 --> 00:52:39,880
Speaker 1: desperate enough to make money that they're renting there or

975
00:52:40,360 --> 00:52:44,640
Speaker 1: who are driving, you know, And it's easy to take

976
00:52:44,680 --> 00:52:48,239
Speaker 1: that risk before anything happens. But yeah, and then the

977
00:52:48,400 --> 00:52:52,480
Speaker 1: risk ends up coming down to the end user. But

978
00:52:52,719 --> 00:52:55,759
Speaker 1: we just kind of click on it because it's convenient. Yeah,

979
00:52:55,920 --> 00:52:58,279
Speaker 1: but yes, somebody's got to pay for safety checks, both

980
00:52:58,320 --> 00:53:02,000
Speaker 1: of like with Uber and training and retrofitting. Yeah, I

981
00:53:02,000 --> 00:53:04,279
Speaker 1: think that's where they're their lobbying money comes into play,

982
00:53:04,320 --> 00:53:06,680
Speaker 1: where they're like, hey, man, can you keep a blind

983
00:53:07,160 --> 00:53:08,960
Speaker 1: for a little bit. Don't make it hard for us

984
00:53:09,000 --> 00:53:12,560
Speaker 1: of the regulations. Yeah, they just assume the homeowner is

985
00:53:12,640 --> 00:53:16,800
Speaker 1: doing like the safety checks, and in certain cases they're

986
00:53:16,840 --> 00:53:20,319
Speaker 1: putting their users lives at risk. And I think they're

987
00:53:20,400 --> 00:53:24,640
Speaker 1: basically saying, you know, the loss of life is worth

988
00:53:25,080 --> 00:53:27,319
Speaker 1: the cost or the risk to us, like this is

989
00:53:27,360 --> 00:53:30,160
Speaker 1: how much we get sued for and this is like

990
00:53:30,280 --> 00:53:33,399
Speaker 1: worth it in the end because doing all that retrofitting,

991
00:53:33,480 --> 00:53:36,479
Speaker 1: doing all that training would cost this much and that's

992
00:53:36,600 --> 00:53:41,239
Speaker 1: just too much. And you know their corporation, Yeah, it's

993
00:53:41,280 --> 00:53:44,760
Speaker 1: sucked up. On Friday, I was going to h someone's birthday,

994
00:53:44,840 --> 00:53:47,960
Speaker 1: coworker's birthday, and my air being or my Uber driver

995
00:53:48,160 --> 00:53:50,839
Speaker 1: almost got me in a fight because he was about

996
00:53:50,840 --> 00:53:54,120
Speaker 1: to fight somebody. Jesus, Like he slammed the brakes because

997
00:53:54,120 --> 00:53:56,760
Speaker 1: someone honked at him and like road range like almost

998
00:53:56,840 --> 00:53:59,000
Speaker 1: topped out of his car and not that I was

999
00:53:59,000 --> 00:54:01,080
Speaker 1: gonna have to get involved with. I'm also a passion

1000
00:54:01,120 --> 00:54:03,640
Speaker 1: I would be like my natural inclination as a human

1001
00:54:03,680 --> 00:54:05,680
Speaker 1: would try and be like, hey, you know what the

1002
00:54:06,840 --> 00:54:10,200
Speaker 1: yeah exactly, but like so, yeah, you know, sometimes people

1003
00:54:10,200 --> 00:54:13,040
Speaker 1: get hot and you never know what to do. Yeah.

1004
00:54:13,200 --> 00:54:16,800
Speaker 1: I have definitely been in ubers that we're being driven

1005
00:54:16,800 --> 00:54:20,399
Speaker 1: by somebody who was just incredibly high on cocaine, like

1006
00:54:20,800 --> 00:54:24,279
Speaker 1: multiple Like just like actors who are like, yeah, I'm

1007
00:54:24,320 --> 00:54:25,960
Speaker 1: making it happen and I'm just doing this for a

1008
00:54:25,960 --> 00:54:27,680
Speaker 1: little extra work, but you know what I'm saying, Like

1009
00:54:28,080 --> 00:54:31,879
Speaker 1: and just like making insane decisions you never want you

1010
00:54:31,920 --> 00:54:34,520
Speaker 1: never want someone where you're like, this person is hot

1011
00:54:35,440 --> 00:54:38,120
Speaker 1: right now, And then a part of me would be like,

1012
00:54:38,200 --> 00:54:42,120
Speaker 1: I'm too polite to be like, sir, are you fucked up? Yeah,

1013
00:54:42,440 --> 00:54:44,919
Speaker 1: He's like, well, I guess it's only a short drive.

1014
00:54:45,400 --> 00:54:47,400
Speaker 1: And he did come up with a pretty cool business

1015
00:54:47,400 --> 00:54:49,560
Speaker 1: model for a sports bar where you had to answer

1016
00:54:49,560 --> 00:54:52,080
Speaker 1: trivia to get in, so only real fans come in,

1017
00:54:52,800 --> 00:54:56,279
Speaker 1: you know, so let me had some good ideas. Yeah, well, Sarah,

1018
00:54:56,320 --> 00:55:01,600
Speaker 1: it's been a pleasure. Where can people find you? Um?

1019
00:55:01,640 --> 00:55:06,960
Speaker 1: Instagram Sarah Say for one, Twitter Sarah for one. My

1020
00:55:07,040 --> 00:55:14,560
Speaker 1: Etsy shop is Bobo's Nook. What no maniatures yet? Um,

1021
00:55:14,600 --> 00:55:16,680
Speaker 1: I can't make those. I'm not that skilled. But I

1022
00:55:16,680 --> 00:55:20,360
Speaker 1: do some embroidery stuff and I have like a little

1023
00:55:20,800 --> 00:55:23,960
Speaker 1: inspirational quote on arrested piece of driftwood and multiple fonts,

1024
00:55:24,080 --> 00:55:28,240
Speaker 1: which is literally what it says. It's like right right, yeah,

1025
00:55:28,560 --> 00:55:32,800
Speaker 1: so yeah, all right, Bobo copy of mine? Yeah? The

1026
00:55:33,400 --> 00:55:36,120
Speaker 1: craft good? And is there a tweet you've been enjoyed?

1027
00:55:36,360 --> 00:55:39,000
Speaker 1: You know, no, because I've been on a Twitter diet

1028
00:55:39,239 --> 00:55:41,279
Speaker 1: and I'm only allowed on Twitter one hour a day.

1029
00:55:41,320 --> 00:55:43,359
Speaker 1: I have an app that limits my time on there,

1030
00:55:43,560 --> 00:55:46,080
Speaker 1: and I don't really read. I'm barely on it now

1031
00:55:46,120 --> 00:55:49,680
Speaker 1: because the diet did the trick you take it anymore

1032
00:55:50,000 --> 00:55:55,120
Speaker 1: that it's It just changed my life, really, I'm serious,

1033
00:55:55,200 --> 00:55:58,040
Speaker 1: Like my life has in this started in three and

1034
00:55:58,040 --> 00:56:01,880
Speaker 1: a half months ago. The change engine my general happiness

1035
00:56:02,160 --> 00:56:05,799
Speaker 1: is noticeable when the amount of stuff I've gotten done

1036
00:56:06,360 --> 00:56:09,960
Speaker 1: is unbelievable. In a dollhouse, y'all. I know you're out here.

1037
00:56:11,000 --> 00:56:14,359
Speaker 1: We're going to make that reality show happen. Miles Where

1038
00:56:14,400 --> 00:56:16,839
Speaker 1: can people find you? Twitter? Instagram at Miles of Gray.

1039
00:56:17,000 --> 00:56:20,880
Speaker 1: Tweet I like is from Blaine cap it says you

1040
00:56:21,000 --> 00:56:28,200
Speaker 1: like dogs. We'll name three of their albums. But that

1041
00:56:28,800 --> 00:56:32,160
Speaker 1: uh tweet, I've been enjoying us from a cash bones

1042
00:56:32,560 --> 00:56:35,239
Speaker 1: with a Z. You tweeted, You're only allowed to call

1043
00:56:35,280 --> 00:56:37,640
Speaker 1: it a Monster Energy drink if it comes from the

1044
00:56:37,880 --> 00:56:42,359
Speaker 1: Monster Energy region of France. You follow me on Twitter

1045
00:56:42,360 --> 00:56:45,239
Speaker 1: at Jack under Square O'Brien. You follow us on Twitter

1046
00:56:45,280 --> 00:56:47,840
Speaker 1: at Daily Zeitgeist. Were at the Daily Zygeist on Instagram.

1047
00:56:47,880 --> 00:56:50,520
Speaker 1: We have Facebook fan page and a website Daily I

1048
00:56:50,520 --> 00:56:53,440
Speaker 1: Guess dot com. Larris post our episodes and our pots

1049
00:56:53,520 --> 00:56:55,319
Speaker 1: were link off to the information that we talked about

1050
00:56:55,400 --> 00:56:58,360
Speaker 1: today's episode as well as song we ride out on

1051
00:56:58,440 --> 00:57:01,960
Speaker 1: months talking. Oh, just some really nice little sample based

1052
00:57:02,080 --> 00:57:05,320
Speaker 1: beats for you, a nice piano, just to you know,

1053
00:57:05,440 --> 00:57:07,680
Speaker 1: keep the week going some day. Uh. And this is

1054
00:57:07,920 --> 00:57:10,960
Speaker 1: by Kiefa theartist name. I always have to think of

1055
00:57:11,000 --> 00:57:13,360
Speaker 1: teen mom when I see the name Kiefer and the

1056
00:57:13,440 --> 00:57:17,120
Speaker 1: title is I think it's just five upper case as,

1057
00:57:17,400 --> 00:57:21,200
Speaker 1: and I'm gonna say the title is by kief So

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Speaker 1: I'll enjoy Alright, We're gonna ride out on that. We

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Speaker 1: will be back tomorrow because it is a daily podcast.

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Speaker 1: We'll talk to you guys then by thanks to to