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Speaker 1: Hello the Internet, and welcome to season seventy three, Episode

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Speaker 1: three of J Daly's Night Guys, the podcast where we

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Speaker 1: take a deep dive into American share consciousness. It's Wednesday,

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Speaker 1: March two thousand nineteen. My name is Jack O'Brien. Okay,

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Speaker 1: Eve on floor on the road like Jack O'Brien, whoa

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Speaker 1: he don't know well work. That is courtesy at Hannah Saltish,

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Speaker 1: complete with the mumble mumble lyrics. Thank you Hannah for

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Speaker 1: looking into what the lyrics for that? Actually, uh and

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Speaker 1: I'm sure joined as always buy my co host Mr

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Speaker 1: Miles Grass, Mr take Mouse breath of great, don't doom?

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Speaker 1: Do I think that's Berlin right? Yeah, anyway, thank you

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Speaker 1: to Hannah Sultis for that one. Also, wow double I

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Speaker 1: got it once you started doing the since boom boom boom.

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Speaker 1: Yeah that's the only part I remember. But yeah that

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Speaker 1: song man. When I was a kid, I really didn't

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Speaker 1: even know the words of that, but I loved you.

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Speaker 1: Now I'm glad I got to talk about it, So

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Speaker 1: thank you. And assaultist assaultis Hannah you did the double today.

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Speaker 1: I feel like that was like one of the early

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Speaker 1: days of v H one. So the v it takes

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Speaker 1: me back. Well, we're wait, you mean v H one,

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Speaker 1: Like when we were old enough and we were like,

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Speaker 1: that's where the lame ship is at MTV V right,

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Speaker 1: and they those were the videos that my parents watched

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Speaker 1: right right in the head. Yeah, like that's where you

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Speaker 1: watched you where you got to see what John looked

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Speaker 1: like for the first year, and I'm like, what the

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Speaker 1: fucking zz top? Right? Yo? Top was on MTV too. Yeah. Yeah,

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Speaker 1: but then like after but you know what I mean,

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Speaker 1: like when you stopped playing music videos. Yeah, I'm talking

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Speaker 1: to those. I'm talking way back he Lumberjack. Well, we're

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Speaker 1: thrilled to be joined in our third teeth by the

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Speaker 1: very funny comedian joining us all the way from New

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Speaker 1: York and Laws Angeles. Please welcome to Sydney, Washington. Hey guys,

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Speaker 1: what's up? I love that VH one drag. Yeah, I mean,

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Speaker 1: but the funny thing is now now you usually watch

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Speaker 1: exclusively VA reality garbage. Yeah, make that become their late.

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Speaker 1: See how quickly I'm talking about Cartel Crew. Yeah. It's

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Speaker 1: kind of like when you're the nerd in high school, right,

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Speaker 1: and you get older, You're like, I'm going to do

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Speaker 1: the complete, that's what. Yeah, they're over compensating, right, like

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Speaker 1: we're gonna make pulling wigs off and throwing Martini's exactly. Yeah,

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Speaker 1: they're basically trashier MTV if that's possible. Yeah, I mean

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Speaker 1: MTV has like its shows, but I like, you know,

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Speaker 1: they're holding it down for people who want to get messy.

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Speaker 1: You know what's going on in the Atlanta hip hop world?

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Speaker 1: Hip hop world, the scene of basketball spouses black ink,

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Speaker 1: you know, if you want to know about probability, very chaotic,

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Speaker 1: dramatic tattoo studios and also the offspring of drug traffickers,

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Speaker 1: just cartel crew. That show is straight up a range exactly,

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Speaker 1: Bret Michaels see, but that actually was peak VH one.

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Speaker 1: That was when there was Flavor of Love. That was

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Speaker 1: Rock of Love for a very brief moment, they knew

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Speaker 1: exactly what they were. Yeah, there'll never be another show

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Speaker 1: like Flavor of Never That's why I go back on Hulu.

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Speaker 1: Why am I rewatching that ship like it's the office?

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Speaker 1: It was real content, Yeah, it really was. It was art.

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Speaker 1: Yeah it was. I would say it's better than the

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Speaker 1: real world. It out there and you gotta read for people.

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Speaker 1: I was like, you know what, I think Peach is

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Speaker 1: a good person deep down. The real world like the

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Speaker 1: real world is like oatmeal now, Like trying to watch

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Speaker 1: the real world is just like what's on Facebook now? Yeah,

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Speaker 1: and I don't even watch Facebook. Yeah. Alright, Sydney, we're

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Speaker 1: going to get to know you a little bit better

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

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Speaker 1: couple of the things we're talking about today. Uh, it's

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Speaker 1: a big newsday yesterday, a lot of a lot of

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Speaker 1: wild stories going down. We're gonna talk about the fact

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Speaker 1: that Europe cares about their citizens more than us. We're

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Speaker 1: gonna talk about Bibles for millennials, they're super lit. We're

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Speaker 1: gonna talk about how Trump gets down on the golf course.

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Speaker 1: We're gonna talk about the admission scam to end all

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Speaker 1: admission scams. This is so delicious for me. I love it. Uh.

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Speaker 1: We're gonna talk about Biden. We're gonna talk about all

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Speaker 1: sorts of ship today. But first, Sydney, we like task

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Speaker 1: our guests, what is something from your search history that's

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Speaker 1: revealing about who you are? My search history earns. I'm

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Speaker 1: searching for Earns right now. Oh yeah, I'm just that's

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Speaker 1: where I want to see how much they cause if

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Speaker 1: a lot. If I get one like on sale, I'm

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Speaker 1: like Amazon, what's good? If I could get a group

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Speaker 1: on earn, that's what I'm looking at round now, I

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Speaker 1: don't see you as a group on urn type person.

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Speaker 1: Actually that is really yeah yeah, I would want an

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Speaker 1: urn that looks nice, but it's really cheap. I'm actually

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Speaker 1: just trying to get a cocktail shaker and make it

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Speaker 1: as earned. But if you could be dazzle a cocktail shaker,

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Speaker 1: that's that's my brand. Your remains should be uh in

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Speaker 1: turned into a earn that is a cocktail shaker. I

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Speaker 1: used to be a waitress for ten years, so honestly,

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Speaker 1: it's very on brand. Now do you do the shake

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Speaker 1: above the shoulder? Actually that is the corniest bartender ever,

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Speaker 1: So no, I'm more about the like mixologists that like,

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Speaker 1: you know stirs okay, yeah, yeah, yeah, you know, yeah,

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Speaker 1: exactly what's your cocktail of choice drink? I'm sober, okay,

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Speaker 1: that's why that's why I should ask the first part. First,

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Speaker 1: do you drink when you used to? And I used to?

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Speaker 1: My favorite cocktail well was free whatever for it? Alright,

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Speaker 1: I like the cocktail shakers, Like I kind of with

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Speaker 1: cocktail shakers now, even though I'm also sober, because they

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Speaker 1: you put ice in there and you shake that shut up,

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Speaker 1: and it like gets your drink cold in like five seconds.

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Speaker 1: Wait are you drinking other things with the cocktail shaker? Yeah,

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Speaker 1: we still got cocktail. Wait, but what do you if

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Speaker 1: I have to get like a drink cold, Like it

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Speaker 1: doesn't matter like any anything. Soda obviously can't y no,

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Speaker 1: not so I guess water usually just get get the

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Speaker 1: ice water really cold. It's usually for my sun. My

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Speaker 1: sun wants water like cold really quick. I just like

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Speaker 1: and I go over the shoulder. So I'm sorry, I'm sorry.

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Speaker 1: So when they look through the window, you look like

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Speaker 1: your four your kid on Martini. You're like, there you

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Speaker 1: go drinking out of a Martini glass, which is the

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Speaker 1: like literally I couldn't even handle the Martin glass without spilling.

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Speaker 1: Try and give it to a two year old that

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Speaker 1: she wouldn't even make it to us. Now, the more

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Speaker 1: you know, yeah, exactly. Tips. What is something you think

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Speaker 1: is underrated? Underrated? Humidifiers? Yeah? Yeah, you need him. You

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Speaker 1: need them. It's first of all, in the wintertime, I

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Speaker 1: don't know how you'll do in l A. But it

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Speaker 1: gets really really dry in New York and they got

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Speaker 1: the project heat from the radiators and it just sucks

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Speaker 1: out all the moisture and after a certain age, you

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Speaker 1: your skin don't bounce back, don't have the elasticity that

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Speaker 1: you need. So I just want all my base people

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Speaker 1: out there to have humidifiers so they don't age like

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Speaker 1: Steve bullshit me. That's what I'm trying to I'm just

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Speaker 1: trying to help everybody out right, right, man, I should

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Speaker 1: I should use a humidifier more. Yeah, you should. I'm

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Speaker 1: relying on that now, even l A. You need it. Yeah,

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Speaker 1: well it's a desert here. Yeah. Recently though, because of

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Speaker 1: the like all the moisture that's been raining a lot,

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Speaker 1: I haven't felt as dried out. But yeah, there are

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Speaker 1: times when don't skip it. Man. I know you guys

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Speaker 1: are all healthy here and you walk everywhere, your juices anywhere.

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Speaker 1: We're like on some wally sh it like recliners, scutters

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Speaker 1: were invented for Los Angeles. Oh you just lazy, phone.

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Speaker 1: But like people in l A do, where athletes are

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Speaker 1: gear everywhere and like they are about that lifestyle but

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Speaker 1: we we don't walk. And you dabbled, right. I saw

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Speaker 1: on your Twitter you you came out to l A

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Speaker 1: did the l A thing, went to running Canyon? That

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Speaker 1: is overrated. I did it for the photo, but like,

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Speaker 1: honestly it's unnecessary. Who took you? Um, two friends that

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Speaker 1: live here? Again, I had two friends who live in

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Speaker 1: New York who did it, and it really just pushed

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Speaker 1: me to the edge. I was like, I am not

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Speaker 1: an athletic person. This is not for me. I don't

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Speaker 1: want to die on the rock. This is too much, right,

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Speaker 1: But I love the photo. Oh, the photo was perfect.

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Speaker 1: Besides running came what is something you think is overrated?

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Speaker 1: Dragging the Kardashians. It's getting played out now, Okay, Like

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Speaker 1: I get it, they're not construed bidding to society. But

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Speaker 1: the people who are contributing to society. Do we want

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Speaker 1: to talk about them either? No, Like everything is just

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Speaker 1: it's just oversaturated and it's just it's just drawn out now. Yeah,

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Speaker 1: And I've noticed that a lot of people, and this

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Speaker 1: includes us. We're dragging Kylie for you know, claiming to

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Speaker 1: be a self made billionaire, but like, no billionaires are

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Speaker 1: self made, Like none of none of them. Are we're okay?

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Speaker 1: Oprah is self made and a billionaire one of the few. Yeah,

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Speaker 1: that's you really don't get a lot of them, but

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Speaker 1: a lot of people are celebrated, and there's a lot

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Speaker 1: of white dudes in the self help section. Business section

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Speaker 1: are all about, you know, telling their life story and

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Speaker 1: just deleting the fact that they got a billion dollars

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Speaker 1: on there. It always starts after they graduated, exact right,

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Speaker 1: We're gonna talk about how they got into Prince's a

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Speaker 1: little later. And also, just because you're you're going into

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Speaker 1: well wealth doesn't mean you'll invest in do what you

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Speaker 1: need to do. She could have been at the Kardashians

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Speaker 1: and then just be robbed. So let's keep around now. Yeah,

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Speaker 1: Rob is in the same family. What he doing? Where's

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Speaker 1: Brody Jenner? Where Brody Jenner? That's right, wasn't he on

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Speaker 1: the hills? Our first introduction to that family? You know,

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Speaker 1: Brodie's like, I don't need all that. What are you saying?

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Speaker 1: Rob suck company didn't make a billion dollars? He had

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Speaker 1: a sock company. Yeah, that's what. That was the first

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Speaker 1: like thing that I remember one of the Kardashian kids

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Speaker 1: launching something but yeah, is he a DJ? Now? No,

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Speaker 1: feel like that's the next thing. Yeah, unless going on

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Speaker 1: live and being like eating on live as a DJ,

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Speaker 1: then yeah. But you know, I get what you mean,

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Speaker 1: Like there's no value in pointing out how valueless the

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Speaker 1: Kardashians are. For sure. I think it's because like for

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Speaker 1: the reason you say, like the people who are worthwhile,

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Speaker 1: they're sort of not the fodder like the Kardashians are.

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Speaker 1: People are meant to be, Like, what are they up to?

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Speaker 1: What's that? I can't stand him? And then however, when

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Speaker 1: you look at Kim Kardashian, however you want to judge her,

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Speaker 1: she's actually kind of trying to do some ship. But

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Speaker 1: because of her past and anything, it's just honestly, she

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Speaker 1: has the right team around her that's building things for

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Speaker 1: her to push forward and be this multimillionaire slash billionaire.

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Speaker 1: It's hard. Don't give me money because I already know

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Speaker 1: what I'm about to do with it. Oh, I'm going

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Speaker 1: to go in the helicopter from like building the building.

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Speaker 1: I'm just gonna I'm gonna rent out places for our

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Speaker 1: friends just to eat. The whole thing is just like, hey,

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Speaker 1: y'all want to have lunch boom, Let's get this whole mall.

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Speaker 1: Let's get them all. People already have a spending list,

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Speaker 1: like ignorant spending the list that's in the back of

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Speaker 1: their head waiting for that day like when it comes

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Speaker 1: and like just guess who's ready out the whole plane

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Speaker 1: and we're gonna watch soccer game and then come back

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Speaker 1: into our I have work the next day, but I

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Speaker 1: have it like that. The helicopter thing, like that's I

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Speaker 1: almost wanna learn to fly a helicopter because I heard

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Speaker 1: Bill Burr on his Monday Morning podcast talk about how

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Speaker 1: like he's getting his helicopter license and he was just like, yeah,

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Speaker 1: you just because you can land them anywhere, So like

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Speaker 1: you just like take off from somebody's yard and like

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Speaker 1: go down to San Diego and like forty minutes. I

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Speaker 1: definitely want to do that. You hear about accidents, Yeah, no, no,

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Speaker 1: and then you die. Did JFK's he was in a plane,

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Speaker 1: but it was also where he was like it was

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Speaker 1: a small plane where he was trying to fly above

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Speaker 1: his pay grade, like he didn't he had like like

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Speaker 1: too few hours behind in the cockpit to fly in

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Speaker 1: the conditions he was trying to fly? What is a myth? Finally,

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Speaker 1: what something people think is true you know to be false?

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Speaker 1: I think, uh, l A people are happy, Okay, they

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Speaker 1: are not. I've been going to shows and I'm like, oh,

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Speaker 1: this feels like Williamsburg. What's going on? What do you mean?

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Speaker 1: What do you just elaborate for us? Being in New York.

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Speaker 1: There's this perception that's like l A is so happy,

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Speaker 1: go lucky. Everyone is just having backyards and the air

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Speaker 1: is great and everyone's Yeah, it's just y'all be high

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Speaker 1: and that that's it. Yeah, that's all it is. But

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Speaker 1: y'all are sad as well. Yeah, because you're living in

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Speaker 1: your cars and y'all still have roommates. You live in

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Speaker 1: a whole home with roommates and not like an apartment.

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Speaker 1: But y'all y'all tugging it out, slugging it out, slumming

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Speaker 1: it out like the New Yorkers too. Yeah, y'all just

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Speaker 1: don't have rats as big as horses. That's it, right, Yeah,

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Speaker 1: there is something I think I mean, in some senses,

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Speaker 1: l A is probably the saddest city because this is

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Speaker 1: where dreams die. That's a lot of dreams die. Yeah,

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Speaker 1: that's coming of those people you saw running who are

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Speaker 1: actually working in the industry, right and are still up there, like, oh,

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Speaker 1: I gotta go to running because you never know you

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Speaker 1: might see somebody like and what do you do, Like

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Speaker 1: I'm late for my PF chain shift right, Oh my god.

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Speaker 1: But it's like, you know, no shape, it's it's just

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Speaker 1: it's just an industry, you know, like everyone the media

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Speaker 1: has conditioned people to be like, you get to a

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Speaker 1: certain point l A, you come out here, boom, snap

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Speaker 1: the finger, your dreams come true or whatever, and there's

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Speaker 1: there's not People don't realize that's sort of especially with comedy, right,

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Speaker 1: Like I don't understand how how much of an time

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Speaker 1: investment that is and how much of a real grind

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Speaker 1: that is, rather than sort of like, oh yeah, I'll

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Speaker 1: get a couple of viral videos and they saying, you know,

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Speaker 1: my series getting ordered. That happens. But a lot of

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Speaker 1: people put in work, but a lot of people have

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Speaker 1: to put in real, real work. Yes, I feel like

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Speaker 1: I wouldn't moved to l A unless I booked something.

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Speaker 1: I'm not coming here to just wing it. Yeah, dude,

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Speaker 1: New York, you can't make it there. It's a great

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Speaker 1: place to get strung along and without like having anything

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Speaker 1: actually happened. Yeah, Like I know some really talented comedians

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Speaker 1: who just like got development deals here or there and

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Speaker 1: like never had any ship come out. Yeah yeah, and

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Speaker 1: then you then oh man, yeah, way to bring the

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Speaker 1: mood down. Guys, this is my ninth day here. But

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Speaker 1: you're funny and you get it. You. I don't think

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Speaker 1: you're I don't think you have a misconception of the

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Speaker 1: work it puts into succeed. I think a lot of

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Speaker 1: people come here and not a lot of people, but

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Speaker 1: many people do have this idea that it's much easier

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Speaker 1: than it actually is to Absolutely nothing is easy. Everything

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Speaker 1: is very complicated. And if you're making it in New York,

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Speaker 1: trust me, you're You're a part of fraud. You're people over,

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Speaker 1: you probably killed somebody. Like it's not that simple. Uh yeah,

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Speaker 1: and you are making it in New York. So that's

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Speaker 1: good to know. We we just learned something about you.

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Speaker 1: What are you doing? A scam phone car? Just podcasting?

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Speaker 1: All right, let's talk about the fact that the other

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Speaker 1: governments of the advanced world care more about their citizens

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Speaker 1: than Aarris do. And how do what do you mean

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Speaker 1: by this? Okay. So there were two plane crashes over

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Speaker 1: the past I think six months maybe past year, where

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Speaker 1: a very specific Boeing seven thirty seven Max eight I

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Speaker 1: think it's called took off, got about eight minutes into

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Speaker 1: the climb into the skies, the plane started shuddering, smoking,

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Speaker 1: and then just plummeted earth, killing everybody on board. It

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Speaker 1: happened in Ethiopia very recently, and then it happened about

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Speaker 1: a year ago in Indonesia. So horrifying as all plane

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Speaker 1: crashes are, but it seems like there might be something

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Speaker 1: going on with this model of plane. And so China

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Speaker 1: was immediately like, okay, well we're not working with this plane.

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Speaker 1: We're grounding this plane until we figure out what happened.

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Speaker 1: The European Union yesterday or the day before came out

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Speaker 1: and said we're going to do the same, and the

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Speaker 1: f a A and the United States said it's too

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Speaker 1: soon to ground them because they don't have evidence yet.

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Speaker 1: So it's not too soon to fly again until they

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Speaker 1: know what happened. It's too soon to to to jump

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Speaker 1: to conclusions about this plane that makes people a lot

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Speaker 1: of money. And this is this is kind of a pattern.

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Speaker 1: You know, there are a lot of foods that are

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Speaker 1: illegal in Europe and that I put in my body

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Speaker 1: on a very regular basis because they are perfectly legal

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Speaker 1: here in the United States. Mountain dew is one of

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Speaker 1: them that I know is going to kill me at

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Speaker 1: one point. It's illegal out there, Yeah, it's illegal or

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Speaker 1: yellow Die number five. Come on, man, you know you

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Speaker 1: you really like mountain dew? Yeah, who didn't hug you

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Speaker 1: as a child? I lived in Kentucky for three years.

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Speaker 1: Have it by taps that kind of the beverage there. Actually,

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Speaker 1: there's probably a lot of people and cant talking like

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Speaker 1: we don't like it either, man. Just but like a

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Speaker 1: lot of just food additives and are processed like cookies

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Speaker 1: and crackers and ship are carcinogens known carcinogens that are

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Speaker 1: banned in Europe. And yeah, so I mean this is

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Speaker 1: just something like I've known about this ever since I studied,

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Speaker 1: like the f d A, and like the fact that

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Speaker 1: the f d A is just the most overmatched like

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Speaker 1: fraud of an organization because there's a huge, multi multibillion dollar,

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Speaker 1: probably trillion dollar food industry out there that just you know,

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Speaker 1: it's in their interests to make sure that they don't

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Speaker 1: get anything past that's gonna sunk with their money. Yeah, fine, great, Yeah,

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Speaker 1: I feel great. My arm goes down a little bit

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Speaker 1: after I eat chips ahoy, but it is what it is,

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Speaker 1: like three whole packages a day. Um. But the one

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Speaker 1: thing about that plane is the argument from Boeing is like, well,

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Speaker 1: you know, like an Ethiopian into Asia, I don't know

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Speaker 1: what the pilot training is like. None, None of the

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Speaker 1: pilots in the US based airlines have had problems. I

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Speaker 1: think a lot of how to do with this like

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Speaker 1: auto trim feature where they were saying like they were

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Speaker 1: the pilots may have been fighting this like auto trim feature.

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Speaker 1: But then even a lot of the US pilots are like, dude,

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Speaker 1: if I'm if my plane starts doing that ship that

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Speaker 1: early on, I might not have the frame of mind

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Speaker 1: to actually begin to diagnose what could be happening. And

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Speaker 1: I could have just as easily found myself in the

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Speaker 1: same position. But you know, I think even the Flight

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Speaker 1: Attendants Union has been complaining saying they don't like if

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Speaker 1: these planes are going down, they definitely don't want to

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Speaker 1: be on them. So we'll see what happens in surprise

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Speaker 1: around and hosting. It brought to our attention that there

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Speaker 1: is a app or a website where you can go

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Speaker 1: to find out if you are booked on one of

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Speaker 1: these planes. Yeah, that's yeah, just made for that. Yeah,

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Speaker 1: just to be like, are you on the death plane?

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Speaker 1: Oh it's called death plane? Yeah, death plane, I think

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Speaker 1: is what Boeing named it. Uh no, but it's called

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Speaker 1: you can't using Frequent Flyer miles in hell. Yeah, it's

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Speaker 1: on seat Guru, which which is a app I think

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Speaker 1: we've talked about, or a website we've talked about before

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Speaker 1: where you can get in deep on like what kind

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Speaker 1: of seats you have on this particular flight, and they

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Speaker 1: will also let you know ahead of time if you

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Speaker 1: are if you're going to die. It's the ones you

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Speaker 1: can know, like what you're working with, the like the interior, right,

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Speaker 1: so you know exactly got you got you? Well, I

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Speaker 1: just want to let y'all know that's my biggest nightmare,

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Speaker 1: being on a plane and then it crashes. And it's

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Speaker 1: not because you know, I don't want to die, but

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Speaker 1: I just don't want to die with that many people

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Speaker 1: because then it's not special, right, I'm on a list die.

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Speaker 1: I want just me exactly. You want to be the

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Speaker 1: reason for the party, Yes, exactly. That's why acalypse coms

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Speaker 1: me out is because nobody's there to mourn you. Yeah,

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Speaker 1: we all just die, no, thank you. Sometimes I walk

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Speaker 1: on a plane and I look around and I go,

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Speaker 1: if this was a movie, this looks like a tragic

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Speaker 1: grouping of people that we would all die. And then

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Speaker 1: I feed my own ship. While I sit in the plane,

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Speaker 1: I'm like, oh, man, and no one would care. Yeah,

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Speaker 1: and it's weird. And then I'm like, give me my

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Speaker 1: zan X. Right. Do you want to go to a purgat,

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Speaker 1: a desert island purgatory like lost? Whatever? I'm done. I

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Speaker 1: live in the valley. Man, It's already like purgatory, all right.

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Speaker 1: So the superproducer, Nick stump He directed our attention to

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Speaker 1: some tweets from our dear President, who tweeted airplanes are

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Speaker 1: becoming far too complex to fly, Pilots are no longer needed,

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Speaker 1: but rather computer scientists from m I t I see

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Speaker 1: it all the time in many products, always seeking to

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Speaker 1: go one unnecessary step further when often old and simpler

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00:21:39,840 --> 00:21:41,760
Speaker 1: is far better, Like the wall. I just added that

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Speaker 1: um split second decisions are needed and the complexity creates danger.

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Speaker 1: All of this for great cost yet very little gain.

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Speaker 1: I don't know about you, but I don't want Albert

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Speaker 1: Einstein to be my pilot. I want great flying professionals

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Speaker 1: that are allowed to easily and quickly take control of

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Speaker 1: a plane. Albert Einstein, what the fund is he talking about?

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Speaker 1: Because he's basically saying, like, M I T guy, planes

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Speaker 1: are too fucking geeky man, right, I want to due

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Speaker 1: to the huge barrel chest, fucking push broom World War

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Speaker 1: two aviators on. Yes, I'm gonna cigar in the cockpit, right,

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Speaker 1: you know, like every other flight that took off from

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Speaker 1: World War Two just crashed. But that's super producer around

396
00:22:22,200 --> 00:22:24,959
Speaker 1: a Hosny. We're going to have a super producer fest

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Speaker 1: Y because she is flying this Friday and was up

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Speaker 1: all night worrying about this. Yeah. So I went deep

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Speaker 1: last night because I was like, oh damn, I have

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Speaker 1: to fly this weekend and I'm I'm flying abroad in April.

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Speaker 1: So I was like, okay, I am not about to

402
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Speaker 1: be on no Max whatever eight seven Max hates anytime soon.

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Speaker 1: So I got in deep and when I was reading

404
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Speaker 1: about it, so I learned the same thing happened in Indonesia,

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Speaker 1: which they actually had a very experienced pilot in Indonesia

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Speaker 1: and everyone was really losing their mind as to why

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Speaker 1: he didn't, um like read the maintenance things because apparently

408
00:23:04,760 --> 00:23:07,320
Speaker 1: Lion Air also very shady and they don't really it's

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00:23:07,320 --> 00:23:11,000
Speaker 1: a whole thing. But um, basically what happens with this

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00:23:11,160 --> 00:23:14,280
Speaker 1: UH seven thirty seven Boeing Max eight is it has

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Speaker 1: this like automated feature. Because all planes are like completely automated.

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Speaker 1: Now you really have to take control the plane if

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Speaker 1: it's starting to lose its mind. They're so complex, you know.

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Speaker 1: And so what happens is when you're flying in a plane,

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Speaker 1: if you're the nose of the plane is going up

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00:23:28,880 --> 00:23:31,320
Speaker 1: too high, like it's pointed up at an angle that's

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Speaker 1: just too high, and it's wind will hit the sensors

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Speaker 1: which are on the side of the plane. And if

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Speaker 1: the wind is hitting this plane and the nose is

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Speaker 1: too high, that can cause the plane to stall, which

421
00:23:41,200 --> 00:23:43,719
Speaker 1: is very bad. You don't want that happening here. Um

422
00:23:43,840 --> 00:23:47,760
Speaker 1: and terrifying planes that like go up to steep on

423
00:23:47,800 --> 00:23:51,760
Speaker 1: the takeoff and then just fall backwards. That it's usually

424
00:23:51,800 --> 00:23:54,120
Speaker 1: cargo planes that have something too heavy in the back. Yeah,

425
00:23:54,240 --> 00:23:57,480
Speaker 1: was all the weight shifts in back. So basically the

426
00:23:57,520 --> 00:23:59,760
Speaker 1: sensors on the side of the front of the plane

427
00:23:59,800 --> 00:24:02,239
Speaker 1: if they feel this air hitting it and that it's

428
00:24:02,240 --> 00:24:04,880
Speaker 1: going to stall it automatically, the engine in the back

429
00:24:05,440 --> 00:24:09,200
Speaker 1: starts working too basically tip the nose to go down.

430
00:24:09,359 --> 00:24:11,600
Speaker 1: So if you're going up too high, Automa could be like, oh,

431
00:24:11,680 --> 00:24:13,480
Speaker 1: let's try and straighten that out, but then I'll straighten

432
00:24:13,520 --> 00:24:16,919
Speaker 1: too hard and you'll start nose diving. And so you

433
00:24:17,000 --> 00:24:20,240
Speaker 1: basically have about ten seconds to correct this because you're

434
00:24:20,240 --> 00:24:24,200
Speaker 1: going like four miles per hour. So unfortunately, the Ethiopien

435
00:24:24,240 --> 00:24:27,000
Speaker 1: pilots they didn't feel were in that moment, in that

436
00:24:27,080 --> 00:24:29,800
Speaker 1: panicked moment able to do the four step process, which

437
00:24:29,800 --> 00:24:31,040
Speaker 1: is you click a bunch of buttons I don't know

438
00:24:31,040 --> 00:24:33,600
Speaker 1: exactly details, and then it turns off those back engines.

439
00:24:33,680 --> 00:24:36,920
Speaker 1: So then you just like narrow out and not you know,

440
00:24:37,880 --> 00:24:40,320
Speaker 1: hit the ground. It does sound like it should just

441
00:24:40,440 --> 00:24:43,679
Speaker 1: be more automated like that. They shouldn't have to do that,

442
00:24:43,720 --> 00:24:46,560
Speaker 1: should well, it just needs to be updated and and

443
00:24:46,600 --> 00:24:48,600
Speaker 1: Boeing has come out and saying we're updating that and

444
00:24:48,640 --> 00:24:50,600
Speaker 1: coming out and releasing and then I'll fix everything. But

445
00:24:50,680 --> 00:24:55,399
Speaker 1: you know these are They're giant fucking machines that you

446
00:24:55,480 --> 00:24:58,720
Speaker 1: should figure out before you sell. I'm losing my I

447
00:24:58,720 --> 00:25:01,000
Speaker 1: don't know I'm on that. I'm on bow inside. Honestly,

448
00:25:01,800 --> 00:25:04,040
Speaker 1: anything wrong bind me. I've gotten everywhere I need to go.

449
00:25:04,160 --> 00:25:08,960
Speaker 1: This sounds that airline or that air type of airplane

450
00:25:09,000 --> 00:25:11,400
Speaker 1: is so popular because the cabin is quieter, you get

451
00:25:11,400 --> 00:25:13,240
Speaker 1: a little bit more room in your seat. So it's

452
00:25:13,320 --> 00:25:16,199
Speaker 1: probably one of the best selling airlines in Southwest. For

453
00:25:16,240 --> 00:25:19,000
Speaker 1: the most part, flies that airline, So be careful when

454
00:25:19,000 --> 00:25:24,520
Speaker 1: you go on south Southwest. Please give me free Airline

455
00:25:24,560 --> 00:25:26,960
Speaker 1: has like two of them. Delta doesn't fly it at all.

456
00:25:27,080 --> 00:25:29,760
Speaker 1: Air Canada flies a lot of them, So be careful,

457
00:25:29,840 --> 00:25:32,880
Speaker 1: y'all look out for these airlines southwest out here putting

458
00:25:32,880 --> 00:25:34,399
Speaker 1: your life at risk. But you knew that when you

459
00:25:34,440 --> 00:25:37,480
Speaker 1: were flying Southwest. Just Also, what's funny is when Trump

460
00:25:37,560 --> 00:25:41,320
Speaker 1: was in Vietnam, he was caping for these these planes

461
00:25:42,040 --> 00:25:44,879
Speaker 1: despite this last tweet, because Nick just showed me a

462
00:25:44,880 --> 00:25:48,000
Speaker 1: link from Fortune magazine that just says Boeing secures fifteen

463
00:25:48,040 --> 00:25:51,560
Speaker 1: point seven billion dollar Vietnam orders during Trump's Annoi visit

464
00:25:51,680 --> 00:25:57,040
Speaker 1: for these seven thirty seven mas planes. Oh really, so

465
00:25:57,119 --> 00:25:59,440
Speaker 1: good timing on that, like a hundred of them. It's

466
00:25:59,440 --> 00:26:02,720
Speaker 1: a good And if they just figure out this weird malfunction,

467
00:26:02,840 --> 00:26:08,280
Speaker 1: no no, no, no no, then it's not a good plane.

468
00:26:07,880 --> 00:26:10,600
Speaker 1: But anybody who's like, these planes are getting too smart,

469
00:26:10,640 --> 00:26:12,080
Speaker 1: we need to go back to the way it used

470
00:26:12,080 --> 00:26:15,840
Speaker 1: to be. There hasn't been a fatal commercial plane crash

471
00:26:15,880 --> 00:26:19,480
Speaker 1: in the US and ten years, but because US does

472
00:26:19,520 --> 00:26:22,160
Speaker 1: the checks a lot of these other foreign countries. It's

473
00:26:22,200 --> 00:26:26,120
Speaker 1: because it's kind of like you're really strapped for resources,

474
00:26:26,160 --> 00:26:28,840
Speaker 1: Like that lion Air one that crashed in Indonesia. Every

475
00:26:28,880 --> 00:26:31,239
Speaker 1: airport it stopped at, engineers had to work on it.

476
00:26:31,400 --> 00:26:33,560
Speaker 1: So lion Air was responsible. They needed to pull that

477
00:26:33,560 --> 00:26:36,080
Speaker 1: plane off the goddamn but they were like, sorry, tickets

478
00:26:36,080 --> 00:26:39,440
Speaker 1: are so because as soon as you pull that plane off,

479
00:26:39,440 --> 00:26:42,560
Speaker 1: you have to reimburse all those tickets. So I'd rather

480
00:26:42,640 --> 00:26:47,400
Speaker 1: live though, Yeah, it's okay. All the airlines, Hey, let's

481
00:26:47,440 --> 00:26:50,840
Speaker 1: I don't need to take that l just ground me baby.

482
00:26:51,200 --> 00:26:54,560
Speaker 1: But it's it's not the airlines making the responsible decision

483
00:26:54,600 --> 00:26:58,080
Speaker 1: in these other countries. It is the government stepping in

484
00:26:58,160 --> 00:27:01,520
Speaker 1: and saying, hey, corporation funk off. We're gonna make sure

485
00:27:01,560 --> 00:27:04,920
Speaker 1: everything's okay before you take people's lives into your hands.

486
00:27:04,960 --> 00:27:07,280
Speaker 1: But that's just not how the United States works. Out

487
00:27:07,280 --> 00:27:12,320
Speaker 1: of the United States is too worried about the almighty dollars.

488
00:27:12,520 --> 00:27:15,040
Speaker 1: One last thing, the thing that you're supposed to you know,

489
00:27:15,080 --> 00:27:18,040
Speaker 1: the like the wheel thing that holds a plane. That's

490
00:27:18,080 --> 00:27:20,440
Speaker 1: another way to stop a plane from nose diving. Just

491
00:27:20,680 --> 00:27:22,760
Speaker 1: yank it back, that's what they said. No, it's called

492
00:27:22,760 --> 00:27:24,679
Speaker 1: a yank or something like that. It makes no sense,

493
00:27:24,920 --> 00:27:27,040
Speaker 1: but you just literally yank that back. But in your

494
00:27:27,160 --> 00:27:30,679
Speaker 1: absolute panic, you're like, m that's like what they just

495
00:27:30,720 --> 00:27:33,280
Speaker 1: be like the yoke. There you go, the yok stupid

496
00:27:33,400 --> 00:27:39,560
Speaker 1: young Beau. The better yanket. You're supposed to just pull

497
00:27:39,640 --> 00:27:43,560
Speaker 1: that back and the plane goes, oh yeah. So alright,

498
00:27:43,600 --> 00:27:45,640
Speaker 1: if any pilots are listening, if you need to gear

499
00:27:45,680 --> 00:27:48,240
Speaker 1: me up, you can't tweet at me out. There's somebody

500
00:27:48,280 --> 00:27:49,919
Speaker 1: in the Zeke Gang who I think is like an

501
00:27:49,960 --> 00:27:52,880
Speaker 1: aeronautics or aviation expert, because they were my mentions when

502
00:27:52,920 --> 00:27:55,600
Speaker 1: I missed said that the A wing was a bomber

503
00:27:55,600 --> 00:27:58,439
Speaker 1: in Star Wars, and there was a whole aeronautics argument

504
00:27:58,440 --> 00:28:00,960
Speaker 1: in my mentions, So sir you can explain this better,

505
00:28:01,080 --> 00:28:04,600
Speaker 1: or madam whoever that was, please chime in, because I'm sure.

506
00:28:04,640 --> 00:28:05,679
Speaker 1: I mean, I don't know if you know as much

507
00:28:05,720 --> 00:28:07,680
Speaker 1: as Anna does. But now I'm just reading New York

508
00:28:07,680 --> 00:28:11,960
Speaker 1: Times articles at two am and hyperventilation. The thing that

509
00:28:12,000 --> 00:28:14,359
Speaker 1: made me feel so much better about plane crashes, because

510
00:28:14,400 --> 00:28:17,280
Speaker 1: I it is one of my biggest fears is that

511
00:28:17,560 --> 00:28:20,320
Speaker 1: if the engines cut out when you're like in the

512
00:28:20,359 --> 00:28:23,119
Speaker 1: middle of a flight. Your plane is designed so that

513
00:28:23,160 --> 00:28:25,239
Speaker 1: it can just glide to the earth and like that

514
00:28:25,359 --> 00:28:29,120
Speaker 1: happens all the time, not all the time, but glide

515
00:28:29,119 --> 00:28:32,080
Speaker 1: to the earth and like no, no, and just like

516
00:28:32,160 --> 00:28:34,320
Speaker 1: glide down like a hang gladder. Like your plane is

517
00:28:34,359 --> 00:28:37,480
Speaker 1: a hang glidder essentially, right, It's built to just be

518
00:28:37,520 --> 00:28:41,280
Speaker 1: able to glide even without engine propelling it. Right, But

519
00:28:41,320 --> 00:28:46,880
Speaker 1: what about what brings the tires out? Yeah? Yeah, the

520
00:28:46,960 --> 00:28:49,400
Speaker 1: landing gear, Like you can they can manually do that.

521
00:28:49,440 --> 00:28:51,280
Speaker 1: You have plenty of time, Like it can glide for

522
00:28:51,360 --> 00:28:54,920
Speaker 1: like hundreds of miles. Yeah, I remember, like in a

523
00:28:54,960 --> 00:28:58,200
Speaker 1: motherfucking h Dunkirk, you know what I mean? Right, when

524
00:28:58,200 --> 00:29:01,800
Speaker 1: Tom Hard He's like, I'm gliding it. Yeah. Yeah, that's

525
00:29:01,800 --> 00:29:06,320
Speaker 1: where I learned most of my informents. Yeah, that he

526
00:29:06,760 --> 00:29:13,320
Speaker 1: did some wild chip. He did cocaine to bring All right,

527
00:29:13,360 --> 00:29:26,520
Speaker 1: we're gonna take a quick break and we're back, and

528
00:29:26,760 --> 00:29:30,800
Speaker 1: let's talk about Donald Trump's golf game. You guys just

529
00:29:30,920 --> 00:29:33,640
Speaker 1: quickly famous cheater. Yeah, we don't have to get two

530
00:29:33,640 --> 00:29:35,520
Speaker 1: into that. But I just saw a headline. I just

531
00:29:35,560 --> 00:29:38,160
Speaker 1: said Donald Trump won a golf tournament he didn't even

532
00:29:38,160 --> 00:29:40,240
Speaker 1: play in. And I was like, of course he fucking did.

533
00:29:40,520 --> 00:29:43,040
Speaker 1: And what happened was if you go to mar A Lago,

534
00:29:43,040 --> 00:29:46,440
Speaker 1: apparently under like the Donald Trump's like winning tournaments like

535
00:29:46,440 --> 00:29:48,280
Speaker 1: it has all the years, it said that he won

536
00:29:48,360 --> 00:29:53,880
Speaker 1: the eighteen men's golf tournament at mar Lago, was president, Yes,

537
00:29:54,160 --> 00:29:57,400
Speaker 1: did he play in that? No? Then what the funk happened? Well,

538
00:29:58,120 --> 00:30:03,640
Speaker 1: originally a member name Ted Virtue, great name, won the tournament,

539
00:30:03,960 --> 00:30:07,000
Speaker 1: but then Trump found him at the country club and

540
00:30:07,040 --> 00:30:10,160
Speaker 1: basically said this is according to multiple sources, Trump pulled

541
00:30:10,240 --> 00:30:12,400
Speaker 1: up and just said something to the effect of the

542
00:30:12,440 --> 00:30:15,280
Speaker 1: only reason you won is because I couldn't play, and

543
00:30:15,320 --> 00:30:19,720
Speaker 1: then said, here's the deal, Let's do a nine hole challenge.

544
00:30:19,920 --> 00:30:24,480
Speaker 1: Winner takes all and Ted Virtue is like, I wouldn't

545
00:30:24,480 --> 00:30:26,640
Speaker 1: want to say no no to the president. Yeah, and

546
00:30:26,680 --> 00:30:28,719
Speaker 1: he's already like, you know, he's a Maga world if

547
00:30:28,720 --> 00:30:31,880
Speaker 1: he's a member there, so he's probably fucking so excited.

548
00:30:32,360 --> 00:30:35,680
Speaker 1: Played the nine holes lost and so now Trump is

549
00:30:35,720 --> 00:30:38,960
Speaker 1: the co champion of the tournament. And these are nine

550
00:30:39,000 --> 00:30:41,840
Speaker 1: holes that Trump plays all the time, all the time. Yeah,

551
00:30:41,920 --> 00:30:44,800
Speaker 1: it's that's on Ted Virtue. Man, you had a lot

552
00:30:44,920 --> 00:30:47,960
Speaker 1: riding on you. Your name is Ted Virtue, Like you

553
00:30:48,040 --> 00:30:51,360
Speaker 1: should be defeating Donald true virtuous. But yeah, at the

554
00:30:51,400 --> 00:30:53,800
Speaker 1: end of the day, you know he lost. He should

555
00:30:53,800 --> 00:30:55,600
Speaker 1: have just said, look, what's mine is mine. You should

556
00:30:55,600 --> 00:30:57,200
Speaker 1: have been here and you would have won. All right.

557
00:30:57,480 --> 00:31:00,640
Speaker 1: Donald Donald is has the gift of gas, like he

558
00:31:00,840 --> 00:31:04,040
Speaker 1: talks bok shit. And yeah, people are always like, well,

559
00:31:04,080 --> 00:31:07,040
Speaker 1: I'm gonna beat Donald Trump at the thing that he

560
00:31:07,240 --> 00:31:12,080
Speaker 1: is great at. There's no way. Side note though, This guy,

561
00:31:12,160 --> 00:31:15,320
Speaker 1: of course, was part of the production team for the

562
00:31:15,320 --> 00:31:19,160
Speaker 1: movie green Book, and there's a photo of him on

563
00:31:19,280 --> 00:31:21,760
Speaker 1: stage at the Academy Awards. That's him. He was on

564
00:31:21,880 --> 00:31:24,360
Speaker 1: stage at the Academy Awards when Green Book the Best Picture.

565
00:31:24,400 --> 00:31:28,240
Speaker 1: So of course some marrow lago golf tournament winning dude

566
00:31:28,320 --> 00:31:31,800
Speaker 1: was behind the screen book. Also, all right, let's talk

567
00:31:31,800 --> 00:31:36,000
Speaker 1: about people who are worse at cheating, who managed to

568
00:31:36,040 --> 00:31:39,640
Speaker 1: get caught cheating in a way that people I assumed

569
00:31:39,680 --> 00:31:44,600
Speaker 1: everybody was cheating based on my experience getting college of

570
00:31:44,680 --> 00:31:47,880
Speaker 1: the people that I went to college with. So there

571
00:31:48,080 --> 00:31:52,120
Speaker 1: is an emission scam that has been exposed featuring a

572
00:31:52,120 --> 00:31:55,160
Speaker 1: gentleman by the name of Rick Singer. Scam. God man,

573
00:31:55,200 --> 00:31:58,160
Speaker 1: this this guy was really was really doing it. He

574
00:31:58,280 --> 00:32:00,760
Speaker 1: set it up, he said the whole thing. He had

575
00:32:00,800 --> 00:32:03,920
Speaker 1: a nonprofit, phony nonprofit. And you go around to the

576
00:32:03,920 --> 00:32:05,880
Speaker 1: wealthy and be like, look, I can get your kid

577
00:32:05,920 --> 00:32:09,200
Speaker 1: in a fucking any school basically for a price. Now

578
00:32:09,240 --> 00:32:12,680
Speaker 1: what you do. You pay my nonprofit, you know, whatever

579
00:32:12,720 --> 00:32:14,840
Speaker 1: the fee is, and then I use that money to

580
00:32:14,920 --> 00:32:18,800
Speaker 1: then go bribe school officials or proctors of the s

581
00:32:18,840 --> 00:32:21,160
Speaker 1: A T or a c T test to get your

582
00:32:21,200 --> 00:32:24,840
Speaker 1: kid into the college of their dreams. And you get

583
00:32:24,880 --> 00:32:26,360
Speaker 1: to write it off at the end of the year

584
00:32:26,440 --> 00:32:29,040
Speaker 1: because it's a charitable donation. And how long has we

585
00:32:29,040 --> 00:32:31,760
Speaker 1: been doing it? For years? It's been a few years now,

586
00:32:32,520 --> 00:32:34,640
Speaker 1: I mean, but the latest batch that the I R

587
00:32:34,720 --> 00:32:37,200
Speaker 1: S and FBI uncovered is dealing with mostly kids that

588
00:32:37,240 --> 00:32:42,760
Speaker 1: are still in the schools right now. Can you imagine

589
00:32:43,280 --> 00:32:46,520
Speaker 1: there are kids going to class today who have this

590
00:32:46,560 --> 00:32:49,880
Speaker 1: ship on the front page of all the newspapers and

591
00:32:49,920 --> 00:32:53,360
Speaker 1: they're just being exposed. They said they arrested like thirty

592
00:32:53,400 --> 00:32:57,960
Speaker 1: three parents from some school officials, some coaches, uh and

593
00:32:58,080 --> 00:33:01,040
Speaker 1: Becky and Becky at Lori law Flynn from full House

594
00:33:01,320 --> 00:33:04,360
Speaker 1: and her husband Massimo, the guy who started Massimo Clothes.

595
00:33:05,720 --> 00:33:08,800
Speaker 1: Their daughter went to USC fucking bought her way in.

596
00:33:09,040 --> 00:33:13,160
Speaker 1: Felicity Huffman and William h. Macy's daughter bought their way in.

597
00:33:13,360 --> 00:33:16,120
Speaker 1: But my thing is is like, you bribe the school, right,

598
00:33:16,440 --> 00:33:19,200
Speaker 1: but if your school is but if your child is

599
00:33:19,280 --> 00:33:23,720
Speaker 1: not that good at school, how can they maintain we're

600
00:33:23,720 --> 00:33:26,680
Speaker 1: gonna okay? So it worked two ways, right. One was

601
00:33:26,720 --> 00:33:29,200
Speaker 1: the academic scam. So they would be like, look, my

602
00:33:29,240 --> 00:33:30,920
Speaker 1: kids grades aren't gonna I don't know how they're gonna

603
00:33:30,920 --> 00:33:33,320
Speaker 1: get into you. And they said, what you do idiots?

604
00:33:33,520 --> 00:33:37,440
Speaker 1: Have you seen these I have a plan on reck Singer, baby,

605
00:33:37,640 --> 00:33:39,440
Speaker 1: pull your kid out of high school and roll them

606
00:33:39,440 --> 00:33:41,720
Speaker 1: in an online school and I'll have someone else take

607
00:33:41,760 --> 00:33:43,320
Speaker 1: all the course for him. So the kid has straight

608
00:33:43,360 --> 00:33:47,239
Speaker 1: a's going into the application, or if they're if they

609
00:33:47,240 --> 00:33:49,160
Speaker 1: have regular grades but they're A C T R S

610
00:33:49,160 --> 00:33:51,760
Speaker 1: A T scores are sucked up. He says, Okay, what

611
00:33:51,840 --> 00:33:53,320
Speaker 1: you need to do is get your child in a

612
00:33:53,480 --> 00:33:56,360
Speaker 1: d h D diagnosis so they can then take the

613
00:33:56,400 --> 00:33:59,200
Speaker 1: test sort of isolated and for a lot longer time.

614
00:33:59,280 --> 00:34:01,240
Speaker 1: They can take their I'm on it in which I

615
00:34:01,240 --> 00:34:04,440
Speaker 1: already have proctors paid off who do those specific tests,

616
00:34:04,760 --> 00:34:07,160
Speaker 1: who after the kid has done with the test, they

617
00:34:07,200 --> 00:34:10,560
Speaker 1: were just corrected. So they had a T A C

618
00:34:10,760 --> 00:34:14,080
Speaker 1: T proctors on the payroll, on the payroll, and they

619
00:34:14,080 --> 00:34:18,920
Speaker 1: would just correct, would erase the answers dumb rich kid

620
00:34:18,960 --> 00:34:22,279
Speaker 1: put in and put in the right answers, and then

621
00:34:22,520 --> 00:34:24,440
Speaker 1: that kid would get a good score on whateverything. But

622
00:34:24,480 --> 00:34:26,160
Speaker 1: and it was almost like to order. They're like, okay,

623
00:34:26,200 --> 00:34:28,239
Speaker 1: do you want to like near perfect because you don't

624
00:34:28,239 --> 00:34:30,480
Speaker 1: want to get too much scrutiny. Do you want to

625
00:34:30,520 --> 00:34:33,000
Speaker 1: just underneath? So it sounds super smart and they could

626
00:34:33,040 --> 00:34:36,000
Speaker 1: basically pick the score they wanted. Yeah, I just want

627
00:34:36,040 --> 00:34:38,520
Speaker 1: to say shout out to Rick, Okay, because I wouldn't

628
00:34:38,520 --> 00:34:40,400
Speaker 1: even have thought of anything like that. They have to

629
00:34:40,440 --> 00:34:44,759
Speaker 1: be he's low key Billy McFarland. Yo, shout out to

630
00:34:44,840 --> 00:34:48,120
Speaker 1: these dudes just just scamming their way through exactly blue

631
00:34:48,120 --> 00:34:53,359
Speaker 1: collar crimes. Collar right. And And the thing is, it's

632
00:34:53,400 --> 00:34:56,520
Speaker 1: just like school is a scam to let's let's get

633
00:34:56,560 --> 00:35:00,200
Speaker 1: into it. Like college is a sham o wham. It's

634
00:35:00,239 --> 00:35:02,439
Speaker 1: well in the sense that they've made it so hard

635
00:35:02,480 --> 00:35:04,480
Speaker 1: for anyone to get in that it's just become this

636
00:35:04,560 --> 00:35:08,319
Speaker 1: unattainable thing. I think education is a good thing, but yeah,

637
00:35:08,400 --> 00:35:10,360
Speaker 1: in the in the way that they sort of frame

638
00:35:10,400 --> 00:35:12,359
Speaker 1: it as like you need to go into crippling debt

639
00:35:12,400 --> 00:35:15,399
Speaker 1: to achieve this degree. It's the college a good thing

640
00:35:15,640 --> 00:35:19,120
Speaker 1: because yeah, you get all this information. Nine times out

641
00:35:19,160 --> 00:35:21,359
Speaker 1: of ten, you're not gonna whatever your major is when

642
00:35:21,400 --> 00:35:23,200
Speaker 1: you get out of college, you're not going to do that.

643
00:35:23,640 --> 00:35:25,239
Speaker 1: I think it all depends on I think it's not

644
00:35:25,280 --> 00:35:28,000
Speaker 1: for everyone, right right. I think they're very specifically there

645
00:35:28,000 --> 00:35:30,840
Speaker 1: are I I certainly benefited from going to college. I

646
00:35:30,880 --> 00:35:34,920
Speaker 1: wanted to go look at you, but I also know

647
00:35:35,160 --> 00:35:37,000
Speaker 1: I'm I have a degree in history. I'm not using

648
00:35:37,000 --> 00:35:39,520
Speaker 1: that ship aside from dropping weird references on the show.

649
00:35:40,000 --> 00:35:41,480
Speaker 1: In the end, is it worth being in debt your

650
00:35:41,480 --> 00:35:44,040
Speaker 1: whole life. I don't know. I can't argue that this

651
00:35:44,160 --> 00:35:48,920
Speaker 1: is basically a more like bald faced, like fraudulent version

652
00:35:49,160 --> 00:35:51,640
Speaker 1: of the thing that happens all the time. Like people

653
00:35:51,760 --> 00:35:55,279
Speaker 1: get into these schools based on legacy, like based on

654
00:35:55,440 --> 00:35:57,839
Speaker 1: the fact that their parents went there. That doesn't make

655
00:35:57,840 --> 00:36:00,680
Speaker 1: it their grandparents built a building there. Yeah, it's just

656
00:36:02,520 --> 00:36:06,000
Speaker 1: my grandparents put a building in the school. I'm going

657
00:36:06,040 --> 00:36:10,040
Speaker 1: to the mother don't. And that's what it used to be.

658
00:36:10,080 --> 00:36:11,720
Speaker 1: So that's what a lot of these people are saying.

659
00:36:11,800 --> 00:36:13,960
Speaker 1: There's a there's a difference, right a lot of people.

660
00:36:14,160 --> 00:36:16,960
Speaker 1: It used to be like just make an outrageous donation

661
00:36:17,000 --> 00:36:19,200
Speaker 1: to the school and there's a little more quid pro quo.

662
00:36:19,520 --> 00:36:23,000
Speaker 1: It's still like, yeah, of course this is outright fraud

663
00:36:23,080 --> 00:36:27,279
Speaker 1: and bribery. So another way was the athletic track. So

664
00:36:27,440 --> 00:36:30,200
Speaker 1: coaches they have their allotment of people they can recruit

665
00:36:30,239 --> 00:36:33,160
Speaker 1: to bring in this school, and so other times they

666
00:36:33,160 --> 00:36:34,440
Speaker 1: can be like, look, I might be able to get

667
00:36:34,480 --> 00:36:37,560
Speaker 1: your kid on the Yale soccer team as a way

668
00:36:37,600 --> 00:36:40,239
Speaker 1: in because the Grays aren't that good. And then we're like, wait,

669
00:36:40,280 --> 00:36:42,839
Speaker 1: but my kid has never even played soccer. Yeah, that's

670
00:36:42,840 --> 00:36:43,960
Speaker 1: all good because this is what I'm gonna do. I'm

671
00:36:44,000 --> 00:36:50,880
Speaker 1: gonna stage before soccer. So he would stage photo shoots

672
00:36:51,080 --> 00:36:52,759
Speaker 1: to make it look like this kid was a real

673
00:36:52,920 --> 00:36:56,480
Speaker 1: legit recruit, or if the kid was uncoordinated, they would

674
00:36:56,520 --> 00:36:58,879
Speaker 1: just straight photoshop to face on the ship and then

675
00:36:58,960 --> 00:37:01,040
Speaker 1: submit that so and it looked like it looked like

676
00:37:01,080 --> 00:37:04,120
Speaker 1: a legitimate recruit. They're like, look at these accolades and

677
00:37:04,160 --> 00:37:07,319
Speaker 1: committing like that fraud. Then it turns out you can

678
00:37:07,440 --> 00:37:09,920
Speaker 1: bribe the Yale soccer coach with like a payment of

679
00:37:09,960 --> 00:37:13,759
Speaker 1: five dollars, gonna be like, yeah, welcome to Yale. But

680
00:37:13,800 --> 00:37:16,919
Speaker 1: it's but it's Yale, though, Like I feel like half

681
00:37:16,920 --> 00:37:19,839
Speaker 1: of it is our fault in terms of thinking like, oh,

682
00:37:19,920 --> 00:37:24,080
Speaker 1: these prestigious universities is the way to go. You are

683
00:37:24,120 --> 00:37:28,040
Speaker 1: the creme de la creme of When you graduate, you

684
00:37:28,040 --> 00:37:30,480
Speaker 1: should be able to get whatever job you want. And

685
00:37:30,520 --> 00:37:33,359
Speaker 1: it's just like that's not how life is set up, right.

686
00:37:33,400 --> 00:37:35,880
Speaker 1: I think it's just because the culture of these specific

687
00:37:35,920 --> 00:37:37,960
Speaker 1: parent groups are like, well, our kid has to go

688
00:37:38,040 --> 00:37:39,640
Speaker 1: to Yale, you know what I mean, because they live

689
00:37:39,680 --> 00:37:41,160
Speaker 1: in that world where if you don't go to Yale,

690
00:37:41,160 --> 00:37:43,400
Speaker 1: you're not shipped, but that okay, yes we do it

691
00:37:43,440 --> 00:37:47,000
Speaker 1: on the parents, but also society too. Yeah, and we

692
00:37:47,080 --> 00:37:49,359
Speaker 1: get mad at the whole system, but it's just like,

693
00:37:49,800 --> 00:37:53,400
Speaker 1: y'all made the Kardashians hot, So don't be mad when

694
00:37:53,440 --> 00:37:56,719
Speaker 1: the scams get scams. Don't don't be mad. It's it's

695
00:37:56,719 --> 00:37:58,560
Speaker 1: all us, right. Yeah, we've built it up to the

696
00:37:58,600 --> 00:38:02,040
Speaker 1: point where now preparents are like, by any means necessary,

697
00:38:02,080 --> 00:38:04,399
Speaker 1: I have to get this child in right. And Aunt

698
00:38:04,400 --> 00:38:08,080
Speaker 1: Becky's daughter once she got into USC like got on

699
00:38:08,160 --> 00:38:10,839
Speaker 1: her she's she's an influencer, you guys, And she got

700
00:38:10,880 --> 00:38:15,000
Speaker 1: on her thing and on her social media thing and

701
00:38:15,120 --> 00:38:19,280
Speaker 1: was like having a conversation. I don't know what outlet

702
00:38:19,320 --> 00:38:22,040
Speaker 1: it was, but I think it was YouTube and was like,

703
00:38:22,600 --> 00:38:24,799
Speaker 1: you know, I don't like school, guys, but I think

704
00:38:24,840 --> 00:38:26,600
Speaker 1: it's gonna be like fun that I get to go

705
00:38:26,640 --> 00:38:29,920
Speaker 1: to games, but I don't really plan on attending classes.

706
00:38:30,600 --> 00:38:33,480
Speaker 1: So yeah, she's just like, is that a character or

707
00:38:33,520 --> 00:38:36,719
Speaker 1: that she's dead as serious and she's like, I just

708
00:38:36,800 --> 00:38:40,440
Speaker 1: want to be able to Yeah, so of someone who

709
00:38:40,440 --> 00:38:42,040
Speaker 1: went to college, she wants to do the version of

710
00:38:42,040 --> 00:38:45,920
Speaker 1: cause they see on TV. But this is such a

711
00:38:46,080 --> 00:38:50,280
Speaker 1: like I'd say one of the biggest wasted resources in

712
00:38:50,520 --> 00:38:53,560
Speaker 1: all of America. Like we're supposed to have this meritocracy

713
00:38:53,719 --> 00:38:57,880
Speaker 1: and the such. There's so much time and energy being

714
00:38:57,880 --> 00:39:00,239
Speaker 1: spent on rich people trying to get their kids to

715
00:39:00,360 --> 00:39:03,439
Speaker 1: like have good lives, you know, just be like it's

716
00:39:03,480 --> 00:39:06,080
Speaker 1: like your kid just doesn't want to do ship. Like

717
00:39:06,120 --> 00:39:09,439
Speaker 1: there you wasted, You're you're ruined. You're trying to push

718
00:39:09,440 --> 00:39:11,200
Speaker 1: this kid in the direction. It's not gonna it's just

719
00:39:11,239 --> 00:39:15,120
Speaker 1: not gonna happen. Well, I will say this, especially with

720
00:39:15,160 --> 00:39:17,319
Speaker 1: like the S A T. S and just like the

721
00:39:17,360 --> 00:39:20,440
Speaker 1: test and then going to college, like it's not a

722
00:39:20,480 --> 00:39:25,560
Speaker 1: system based on like intelligence at all. Right, it's all

723
00:39:25,560 --> 00:39:28,319
Speaker 1: based on like if you're a good test taker, also

724
00:39:28,480 --> 00:39:31,839
Speaker 1: who your parents are. The system is flawed as it is,

725
00:39:32,000 --> 00:39:35,600
Speaker 1: Like I don't know, I went to college and I'm

726
00:39:35,680 --> 00:39:40,680
Speaker 1: really hard at like memorizing things and just understanding stuff.

727
00:39:40,960 --> 00:39:44,080
Speaker 1: And I didn't do well and it was frustrating because

728
00:39:44,160 --> 00:39:46,720
Speaker 1: I would try to apply myself and then I became

729
00:39:46,760 --> 00:39:49,799
Speaker 1: depressed because it's like am I stupid? Am I not

730
00:39:49,960 --> 00:39:53,080
Speaker 1: worthy of being here? And you know look where I

731
00:39:53,080 --> 00:39:58,280
Speaker 1: am now? A comedian. Yeah, Well, I think it helps

732
00:39:58,320 --> 00:40:01,000
Speaker 1: you sort of realize things too in the process. I

733
00:40:01,000 --> 00:40:03,040
Speaker 1: guess for you even right, you sort of realize you like,

734
00:40:03,080 --> 00:40:06,479
Speaker 1: this whole academia thing I've been sold like for what. Yeah,

735
00:40:06,640 --> 00:40:09,680
Speaker 1: and there's a whole cottage industry that I think Robert

736
00:40:09,680 --> 00:40:11,879
Speaker 1: Evans is going to do a story on. But we

737
00:40:11,960 --> 00:40:14,759
Speaker 1: interviewed a bunch of kids. Uh when when I was

738
00:40:14,800 --> 00:40:16,919
Speaker 1: back at Cracked, there was like a bunch of these

739
00:40:17,000 --> 00:40:22,160
Speaker 1: kids who, uh, we're basically writers for hire. They would

740
00:40:22,160 --> 00:40:24,600
Speaker 1: write your college paper for you, and like, you know,

741
00:40:24,880 --> 00:40:27,640
Speaker 1: like that's that's what these kids do once they get in,

742
00:40:28,120 --> 00:40:31,040
Speaker 1: Like they just pay kids to like do the and

743
00:40:31,040 --> 00:40:34,359
Speaker 1: then and then they become politicians and then have all

744
00:40:34,440 --> 00:40:36,600
Speaker 1: existed in a world where they don't need to do anything,

745
00:40:36,600 --> 00:40:38,320
Speaker 1: they can buy their way out of anything. They're in

746
00:40:38,320 --> 00:40:40,680
Speaker 1: a consequence free world, and then they start robbing the

747
00:40:40,680 --> 00:40:42,600
Speaker 1: working people and then look at where we are. I

748
00:40:42,600 --> 00:40:45,719
Speaker 1: could keep going, yeah, this is the conspiracy. But there

749
00:40:45,719 --> 00:40:48,520
Speaker 1: are there are those moments when you see a politician

750
00:40:48,520 --> 00:40:50,439
Speaker 1: and you're like, wait, this person can't be that dumb.

751
00:40:50,520 --> 00:40:55,520
Speaker 1: They just looked they just they just they just looked

752
00:40:55,600 --> 00:40:59,520
Speaker 1: dumb in that moment. No, No, there there are ways, Yeah,

753
00:40:59,600 --> 00:41:01,399
Speaker 1: and I get also too, so like when you look

754
00:41:01,440 --> 00:41:03,600
Speaker 1: at it, people were paying from anywhere from two hundred

755
00:41:03,640 --> 00:41:06,239
Speaker 1: thousand to six point five million dollars to get these

756
00:41:06,320 --> 00:41:08,440
Speaker 1: kids in and they were they were saying at the

757
00:41:08,440 --> 00:41:10,799
Speaker 1: press conference today, there were some parents who didn't want

758
00:41:10,800 --> 00:41:13,480
Speaker 1: the kids to know that they were sucking, pulling the

759
00:41:13,480 --> 00:41:15,560
Speaker 1: strings behind their back, and they said that they have

760
00:41:15,600 --> 00:41:18,080
Speaker 1: other instances where the kids very much knew what was

761
00:41:18,120 --> 00:41:19,560
Speaker 1: going on and what they had to do to get in.

762
00:41:19,880 --> 00:41:22,680
Speaker 1: Could you imagine if you like found you thought you

763
00:41:22,760 --> 00:41:26,680
Speaker 1: got that score on the S T S thought and

764
00:41:28,640 --> 00:41:31,640
Speaker 1: today there's no way you know, you know, if you're

765
00:41:31,680 --> 00:41:35,200
Speaker 1: good at cast taking. But also I know there are

766
00:41:35,200 --> 00:41:37,840
Speaker 1: people who have been encouraged their whole life to a

767
00:41:37,920 --> 00:41:40,319
Speaker 1: point where they think they are much more capable than

768
00:41:40,360 --> 00:41:42,040
Speaker 1: they are. And I'm sure there's a sliver of people

769
00:41:42,040 --> 00:41:44,120
Speaker 1: who are like, yeah, let's talk about it, white men.

770
00:41:45,200 --> 00:41:50,640
Speaker 1: Let's come on now, wait a second tier. You got

771
00:41:50,640 --> 00:41:55,160
Speaker 1: a bad rap. I have studied really hard on this, right,

772
00:41:55,600 --> 00:41:58,120
Speaker 1: and yeah, all my family went to the same college

773
00:41:58,560 --> 00:42:02,600
Speaker 1: and you and lacrosse is a real sport, right, My god,

774
00:42:04,760 --> 00:42:06,920
Speaker 1: where I went is also tied up in this, and

775
00:42:07,280 --> 00:42:11,800
Speaker 1: you know, and lacrosse is the like cool sport there. Stop.

776
00:42:12,840 --> 00:42:14,400
Speaker 1: I'm glad I went to one of these schools that

777
00:42:14,480 --> 00:42:16,280
Speaker 1: was good enough for people to scam their way into.

778
00:42:16,960 --> 00:42:20,319
Speaker 1: But yeah, it's the USC part doesn't surprise me at

779
00:42:20,320 --> 00:42:23,440
Speaker 1: all because like for rich people in Los Angeles, like

780
00:42:23,480 --> 00:42:25,680
Speaker 1: that's sort of like the of course you just go

781
00:42:25,760 --> 00:42:28,240
Speaker 1: to USC, like if you're not really serious about anything.

782
00:42:28,280 --> 00:42:31,120
Speaker 1: But yeah, of course I'm go to USC. Dude looking sick.

783
00:42:32,160 --> 00:42:34,440
Speaker 1: We're all the other conservative kids in l A. Yeah,

784
00:42:34,560 --> 00:42:38,560
Speaker 1: it's all about titles, it's all about status, and we

785
00:42:38,560 --> 00:42:42,920
Speaker 1: we we drag it. But it's a thing and everybody

786
00:42:42,960 --> 00:42:45,360
Speaker 1: can say what they want because they're in one level.

787
00:42:45,440 --> 00:42:49,040
Speaker 1: But imagine when you get money. Imagine if you're at

788
00:42:49,520 --> 00:42:51,600
Speaker 1: that part in your life where you're like, I could

789
00:42:51,600 --> 00:42:54,239
Speaker 1: pay for my kids to get into the school the

790
00:42:54,320 --> 00:42:57,040
Speaker 1: wrong way, right right. If you're that type of parent,

791
00:42:57,080 --> 00:43:00,279
Speaker 1: you're gonna do it. Yeah, you know, like you never

792
00:43:00,480 --> 00:43:03,480
Speaker 1: your kid never had to sell Girl Scout cookies and

793
00:43:03,520 --> 00:43:06,040
Speaker 1: it was pretty low and you're like, I I'm just

794
00:43:06,040 --> 00:43:09,880
Speaker 1: gonna buy all these boxes of cookie right. Yeah it

795
00:43:10,000 --> 00:43:14,399
Speaker 1: starts there, but it starts there. Yeah, wow, just let

796
00:43:14,400 --> 00:43:18,000
Speaker 1: your kids, Let your kids take the l Yeah, I

797
00:43:18,000 --> 00:43:20,840
Speaker 1: think that's true. Man, Hell yeah, if my parents have

798
00:43:20,920 --> 00:43:22,920
Speaker 1: to doing no fucking wait. My mom wouldn't even turn

799
00:43:22,960 --> 00:43:26,160
Speaker 1: the air conditioning on me and I was sweating in

800
00:43:26,239 --> 00:43:29,400
Speaker 1: the house. I'm like, what anyway, But the thing that

801
00:43:29,520 --> 00:43:31,319
Speaker 1: we still don't know is what the schools are going

802
00:43:31,400 --> 00:43:33,480
Speaker 1: to do with these kids that are still involved. What

803
00:43:33,520 --> 00:43:35,840
Speaker 1: they're gonna do. And then that's where I'm like, you know,

804
00:43:35,880 --> 00:43:39,200
Speaker 1: they're gonna return the money. Hello, that's what I want

805
00:43:39,200 --> 00:43:41,560
Speaker 1: to know. But it's not many of the schools. Even

806
00:43:41,560 --> 00:43:43,839
Speaker 1: the FBI they tried to find make sure that there

807
00:43:43,840 --> 00:43:46,239
Speaker 1: were no administrators involved, and it seemed like it was

808
00:43:46,400 --> 00:43:49,680
Speaker 1: purely just these coaches and these proctors and only at

809
00:43:49,719 --> 00:43:53,600
Speaker 1: one case USC where an administrator was also caught up,

810
00:43:53,920 --> 00:43:59,080
Speaker 1: and those they're still they're still investigating, so we don't

811
00:43:59,080 --> 00:44:01,799
Speaker 1: know the full stanton yet, but there from what they

812
00:44:01,800 --> 00:44:03,920
Speaker 1: have so far in the charges they made, they could

813
00:44:03,960 --> 00:44:07,200
Speaker 1: only find these people culpable. But I am curious though,

814
00:44:07,239 --> 00:44:09,839
Speaker 1: Like I mean, it sucks for the kids, especially if

815
00:44:09,880 --> 00:44:13,400
Speaker 1: they didn't know. But at the same time, it seems

816
00:44:13,400 --> 00:44:16,080
Speaker 1: like you have plenty of resources that this won't funk

817
00:44:16,160 --> 00:44:21,400
Speaker 1: up your your life trajected, Yeah, it's fucking embarrassing and

818
00:44:21,920 --> 00:44:24,520
Speaker 1: at that age, stuff like that is like, it feels

819
00:44:24,560 --> 00:44:27,040
Speaker 1: like the end of the world. How am I gonna

820
00:44:27,800 --> 00:44:31,040
Speaker 1: move forward on this? Because then it's all on social media,

821
00:44:31,400 --> 00:44:35,279
Speaker 1: your name is all up and through the blogs. It's

822
00:44:35,400 --> 00:44:38,440
Speaker 1: rough at least. And Becky's daughter was like that, I

823
00:44:38,440 --> 00:44:41,719
Speaker 1: don't do school, like so she she's owning it already

824
00:44:42,239 --> 00:44:45,440
Speaker 1: even before this happens. I'm going I feel bad for

825
00:44:46,000 --> 00:44:49,799
Speaker 1: William H. Macy's kid, who like, who knows, Maybe they're like, yeah,

826
00:44:49,840 --> 00:44:52,440
Speaker 1: I'm smart, and then I'm going on her. I g

827
00:44:52,760 --> 00:44:55,720
Speaker 1: just just have any what's your stories right now? Nope,

828
00:44:56,480 --> 00:45:03,239
Speaker 1: it's probably no no what private her? Olivia Jade's Instagram

829
00:45:03,320 --> 00:45:05,120
Speaker 1: is wide open, but she hasn't posted since the end

830
00:45:05,120 --> 00:45:09,040
Speaker 1: of February. How many father, she's got one point three

831
00:45:09,120 --> 00:45:14,520
Speaker 1: million and you two can cheat your way through an education?

832
00:45:14,800 --> 00:45:18,560
Speaker 1: Oh my god. Alright, guys, let's take another quick break.

833
00:45:18,560 --> 00:45:33,880
Speaker 1: We'll be right back. And we're back, and they've updated

834
00:45:34,640 --> 00:45:39,880
Speaker 1: the Bible for millennials. Thank god. This is the dumbest

835
00:45:39,920 --> 00:45:43,440
Speaker 1: thing I've ever I think, the dumbest story. Really it

836
00:45:44,160 --> 00:45:47,040
Speaker 1: makes it's it's just in line with everything I see. Right,

837
00:45:47,040 --> 00:45:49,879
Speaker 1: It's just like we gotta update this thing. But for millennials,

838
00:45:50,120 --> 00:45:51,799
Speaker 1: it was only a matter of time that it's like

839
00:45:52,200 --> 00:45:55,880
Speaker 1: the Bible, it's not it's not tight enough for the

840
00:45:56,000 --> 00:45:59,400
Speaker 1: ute them, and we need them to turn up in

841
00:45:59,440 --> 00:46:03,399
Speaker 1: the name of ovation. But these two there's a guy

842
00:46:03,480 --> 00:46:06,560
Speaker 1: named Brian Chung. He teamed up with another guy named

843
00:46:06,560 --> 00:46:09,920
Speaker 1: Brian Chung. He met in college True Stories doing that

844
00:46:10,080 --> 00:46:13,320
Speaker 1: someone is exact same name, um, and they were saying,

845
00:46:13,320 --> 00:46:15,520
Speaker 1: like you know, they they were they were involved in

846
00:46:15,520 --> 00:46:17,640
Speaker 1: like campus ministry, and they saw like when the Bible

847
00:46:17,680 --> 00:46:19,400
Speaker 1: came out, people just kind of like flipped through it

848
00:46:19,440 --> 00:46:21,560
Speaker 1: and it's like the same old tire texts and just

849
00:46:21,719 --> 00:46:23,879
Speaker 1: lay out and they're like, this is not this isn't

850
00:46:23,920 --> 00:46:27,239
Speaker 1: the same it. So Brian Chunk says, we want these

851
00:46:27,239 --> 00:46:30,239
Speaker 1: books to be true and relevant to millennials. We're all

852
00:46:30,280 --> 00:46:32,640
Speaker 1: on our iPhones, but we also resprawned really well to

853
00:46:32,719 --> 00:46:35,279
Speaker 1: visual imagery, and so it has it has to really

854
00:46:35,320 --> 00:46:37,480
Speaker 1: grasp our attention. If it does, it can change the

855
00:46:37,480 --> 00:46:40,000
Speaker 1: way we think. So he applied that to the Good Book,

856
00:46:40,400 --> 00:46:42,319
Speaker 1: and I mean he's not wrong in the sense that

857
00:46:42,400 --> 00:46:45,480
Speaker 1: because the you know, young people's interest in religion is

858
00:46:45,520 --> 00:46:50,160
Speaker 1: just increasingly becoming it's diminishing rapidly. Uh, they said, between

859
00:46:50,560 --> 00:46:53,640
Speaker 1: like there's a few Research Center Religious Landscape study from

860
00:46:54,280 --> 00:46:56,320
Speaker 1: that said young adults born between eighty one and ninety

861
00:46:56,400 --> 00:46:58,720
Speaker 1: six are much less likely than older Americans to attend

862
00:46:58,760 --> 00:47:02,399
Speaker 1: religious services or prey. They also found that last year

863
00:47:03,080 --> 00:47:08,160
Speaker 1: or of Americans consider themselves nuns or eight like nothing,

864
00:47:08,280 --> 00:47:12,160
Speaker 1: n O n s or atheists or an agnostics, and

865
00:47:12,200 --> 00:47:16,600
Speaker 1: almost half of that millennials. So this was in in

866
00:47:16,680 --> 00:47:19,320
Speaker 1: EIGHTI six, there was only ten percent of young adults

867
00:47:19,320 --> 00:47:22,359
Speaker 1: who said they don't affiliate with any religion. So it's

868
00:47:22,400 --> 00:47:24,720
Speaker 1: gonna you know, it's on a rise, and it's all religions,

869
00:47:24,719 --> 00:47:29,120
Speaker 1: it's not just Christianity. But this apparently this book though

870
00:47:29,600 --> 00:47:33,920
Speaker 1: is selling well. You can't get I mean Psalms, you

871
00:47:33,920 --> 00:47:37,160
Speaker 1: can't get that ship right, also the Gospel of John either.

872
00:47:37,320 --> 00:47:39,640
Speaker 1: So each book of the Bible is made to look

873
00:47:39,880 --> 00:47:43,440
Speaker 1: like a like hipster zine. It looks like like hype

874
00:47:43,480 --> 00:47:47,000
Speaker 1: beasts mixed with trying to think of the magazine I've

875
00:47:47,000 --> 00:47:49,239
Speaker 1: seen that looks exactly like this. It's like a lot

876
00:47:49,320 --> 00:47:51,719
Speaker 1: of you know, art magazines are sort of laid out

877
00:47:51,800 --> 00:47:55,399
Speaker 1: very minimally, like really just simple layout it's I mean,

878
00:47:55,440 --> 00:47:57,839
Speaker 1: it looks it's very slick. Look, yeah, I know they

879
00:47:57,880 --> 00:48:00,160
Speaker 1: did a good job. They probably have a future in

880
00:48:00,880 --> 00:48:04,320
Speaker 1: zene design. But yeah, they're good for you. The sales

881
00:48:05,040 --> 00:48:08,879
Speaker 1: they're growing and demand is also growing. They said last

882
00:48:08,920 --> 00:48:12,280
Speaker 1: year they sold ten thousand bibles, made three thousand in sales,

883
00:48:12,640 --> 00:48:14,560
Speaker 1: and they believe they're going to triple their sales in

884
00:48:15,920 --> 00:48:18,520
Speaker 1: We've always said here on the Daily's like, it's the

885
00:48:18,600 --> 00:48:22,880
Speaker 1: Christ is lit. Dude. Yeah, this is so blasphemous. I can't.

886
00:48:22,920 --> 00:48:25,040
Speaker 1: I'm like, I'm not even a religious person, but they

887
00:48:25,160 --> 00:48:28,359
Speaker 1: just it shouldn't be that accessible. It seems weird because

888
00:48:28,360 --> 00:48:31,680
Speaker 1: like to profit off of it to come I mean, yeah,

889
00:48:31,800 --> 00:48:35,160
Speaker 1: that's not God's plan. No, that's He was not handing

890
00:48:35,160 --> 00:48:37,239
Speaker 1: out slick verses of the Bible. No, it was not.

891
00:48:38,400 --> 00:48:41,759
Speaker 1: But you know, I guess if it can help, but

892
00:48:41,880 --> 00:48:44,040
Speaker 1: then you know great. I mean I have, you know,

893
00:48:44,120 --> 00:48:46,839
Speaker 1: religious people in my life who who lived the right way.

894
00:48:46,920 --> 00:48:48,719
Speaker 1: But you know what, they saw the Bible for what

895
00:48:48,800 --> 00:48:51,280
Speaker 1: it was. They didn't need flashy pictures. No they don't.

896
00:48:51,400 --> 00:48:56,080
Speaker 1: And I just feel like, if you want to be religious,

897
00:48:56,160 --> 00:48:58,719
Speaker 1: you have to put in the work. It shouldn't be

898
00:48:59,360 --> 00:49:03,719
Speaker 1: that easy, right, it shouldn't be all glamorous. Yeah, And

899
00:49:03,760 --> 00:49:05,520
Speaker 1: I think their their whole point is that they just

900
00:49:05,640 --> 00:49:07,880
Speaker 1: feel like if as long as the first step is

901
00:49:07,920 --> 00:49:10,120
Speaker 1: to make something that will even get somebody to bother

902
00:49:10,239 --> 00:49:13,680
Speaker 1: to read the scripture itself and then go from there.

903
00:49:13,719 --> 00:49:15,600
Speaker 1: Some of the reviews on Amazon, some guy was like,

904
00:49:15,920 --> 00:49:18,560
Speaker 1: if you like photography, and Jesus, this book is for

905
00:49:18,600 --> 00:49:22,960
Speaker 1: you because it's the photographs are nice. But yeah, you know,

906
00:49:23,320 --> 00:49:25,960
Speaker 1: I think, yeah, that's true. Like to actually have faith

907
00:49:26,080 --> 00:49:27,919
Speaker 1: is a little bit more than just sort of being

908
00:49:28,080 --> 00:49:31,319
Speaker 1: drawn in by you know, a good marketing materials. Yeah,

909
00:49:31,360 --> 00:49:34,759
Speaker 1: but I will say the word is by word of mouth.

910
00:49:34,920 --> 00:49:37,439
Speaker 1: You know, who's really reading the Bible. You hear one

911
00:49:37,440 --> 00:49:40,040
Speaker 1: person says some ship on the scripture, You're like, oh,

912
00:49:40,080 --> 00:49:42,120
Speaker 1: that's what it is. And then you pass it on

913
00:49:42,239 --> 00:49:47,040
Speaker 1: and it's all water down. Yeah, like that's how it is. Yeah, well,

914
00:49:47,080 --> 00:49:49,319
Speaker 1: you know, we'll see what happens. But they do say

915
00:49:49,520 --> 00:49:54,160
Speaker 1: right now their largest customer demographics are in Singapore, Australia, Canada,

916
00:49:54,239 --> 00:49:58,520
Speaker 1: and England International. Yeah, and they say people are just

917
00:49:58,560 --> 00:50:00,839
Speaker 1: kind of buying a coffee table. But so people might

918
00:50:00,880 --> 00:50:05,680
Speaker 1: just actually be like being like right, an ironic, really

919
00:50:05,840 --> 00:50:08,520
Speaker 1: slick version like any leeb of its shot version of

920
00:50:10,880 --> 00:50:13,799
Speaker 1: That's awful by one for the office. Well, from the

921
00:50:13,840 --> 00:50:17,600
Speaker 1: good book to the really good book. Uh, let's talk

922
00:50:17,680 --> 00:50:22,200
Speaker 1: about the Muller Report, you guys, because they're taking pre

923
00:50:22,320 --> 00:50:25,640
Speaker 1: orders on Amazon. We've talked about this that they have

924
00:50:25,760 --> 00:50:30,080
Speaker 1: pages up on Amazon. For one is sky Horse Publishing

925
00:50:30,360 --> 00:50:32,680
Speaker 1: has a page up that looks exactly like the nine

926
00:50:32,680 --> 00:50:36,759
Speaker 1: eleven Report and the Kent Star Report, Like they have

927
00:50:36,800 --> 00:50:39,680
Speaker 1: the design done exactly the same, and it's a best

928
00:50:39,680 --> 00:50:43,879
Speaker 1: seller on Amazon already. Washington Post has their version. So

929
00:50:43,920 --> 00:50:47,680
Speaker 1: the sky Horse Publishing one is Alan Derschwitz is going

930
00:50:47,760 --> 00:50:50,960
Speaker 1: to write the introduction and then they're planning to publish

931
00:50:50,960 --> 00:50:54,560
Speaker 1: the Muller Report. Keeping in mind that we don't even

932
00:50:54,560 --> 00:50:56,960
Speaker 1: know if they're going to be able to publish the

933
00:50:57,000 --> 00:51:00,440
Speaker 1: Muller Report. And what we thought it was a scam

934
00:51:00,760 --> 00:51:03,000
Speaker 1: because they're like what the funk? How is like, there's

935
00:51:03,040 --> 00:51:04,840
Speaker 1: no way the Washington Post is already doing this. But

936
00:51:04,880 --> 00:51:09,160
Speaker 1: I guess the thirst for Trump related books is so

937
00:51:09,239 --> 00:51:12,799
Speaker 1: intense that it like everyone's trying to profit and this

938
00:51:12,880 --> 00:51:15,360
Speaker 1: is like the one way to get a Trump adjacent

939
00:51:15,680 --> 00:51:19,399
Speaker 1: book that's going to be just something that's like publicly distributed,

940
00:51:19,760 --> 00:51:21,920
Speaker 1: so they don't they don't need somebody who like defects

941
00:51:21,920 --> 00:51:23,920
Speaker 1: from like being in the administration to write like a

942
00:51:24,040 --> 00:51:27,359
Speaker 1: you know, teth the t Report. But this is like now,

943
00:51:27,600 --> 00:51:31,280
Speaker 1: so yeah, so it's legitimately the Washington Post just basically

944
00:51:31,280 --> 00:51:33,239
Speaker 1: saying once it comes out, we're putting in a book

945
00:51:33,239 --> 00:51:36,320
Speaker 1: for him, and you're gonna need a copy. But again,

946
00:51:36,400 --> 00:51:39,399
Speaker 1: we don't know when this investigation is ending. We don't

947
00:51:39,400 --> 00:51:41,680
Speaker 1: know when the report is actually gonna be submitted to

948
00:51:41,760 --> 00:51:44,359
Speaker 1: d o J or if it's even gonna be made public. Yeah,

949
00:51:44,400 --> 00:51:48,640
Speaker 1: the mainstream media is continuing to just kind of right

950
00:51:48,920 --> 00:51:53,640
Speaker 1: and report as though it's about to drop like any

951
00:51:53,719 --> 00:51:57,239
Speaker 1: day now, but it's not. I don't know, I I

952
00:51:57,280 --> 00:52:00,280
Speaker 1: guess there have been a couple of little like pieces

953
00:52:00,320 --> 00:52:02,759
Speaker 1: of evidence, like people who work on mother's team saying

954
00:52:02,800 --> 00:52:05,720
Speaker 1: they're going to go back to work. But it's still

955
00:52:05,880 --> 00:52:10,920
Speaker 1: an incredibly short investigation compared to pass Special Council investigations.

956
00:52:10,960 --> 00:52:13,759
Speaker 1: The average length for a Special Council investigation is nine

957
00:52:14,200 --> 00:52:19,080
Speaker 1: four days. White Water, the Clinton Lewinsky uh that became

958
00:52:19,120 --> 00:52:22,880
Speaker 1: the Lewinsky scandal took two thousand, nine hundred and seventy

959
00:52:22,960 --> 00:52:27,160
Speaker 1: eight days, which is eight over eight years. Uh Iran

960
00:52:27,280 --> 00:52:32,160
Speaker 1: Contra took over two thousand days. Uh and we're currently

961
00:52:32,200 --> 00:52:35,080
Speaker 1: at six hundred and sixty three days were under the

962
00:52:35,120 --> 00:52:41,080
Speaker 1: average length of a Special Council investigation, and this would

963
00:52:41,360 --> 00:52:45,800
Speaker 1: There's been way more indictments coming out of this one.

964
00:52:45,880 --> 00:52:49,400
Speaker 1: It's a stupid or scam, Like look at everybody who's involved,

965
00:52:49,440 --> 00:52:52,200
Speaker 1: Like they weren't even slick about like anything they're doing.

966
00:52:52,239 --> 00:52:55,879
Speaker 1: Like Eric Prince got pressed on Al Jazeera by Mehdi

967
00:52:55,960 --> 00:52:58,920
Speaker 1: Hassan and it was like he was so bumbling. He

968
00:52:59,000 --> 00:53:01,440
Speaker 1: was like, my man, I'm looking at the transcript right now.

969
00:53:01,760 --> 00:53:03,640
Speaker 1: You actually lied to Congress and said you had no

970
00:53:03,680 --> 00:53:05,440
Speaker 1: contact with these people. He's like, yet, we know you

971
00:53:05,480 --> 00:53:06,800
Speaker 1: were in the same shows. You just told me you

972
00:53:06,840 --> 00:53:09,879
Speaker 1: were there meeting with the amadis Like, oh, you even

973
00:53:09,920 --> 00:53:13,880
Speaker 1: got the transcript wrong. Yeah. There was like audible groans

974
00:53:14,000 --> 00:53:16,960
Speaker 1: from everywhere in the audience. That happened a little Kim,

975
00:53:17,000 --> 00:53:21,520
Speaker 1: didn't it when like when she went to jail for

976
00:53:21,760 --> 00:53:24,480
Speaker 1: one of her people's they said that she didn't know them,

977
00:53:24,560 --> 00:53:26,360
Speaker 1: but then she was caught on camera with them and

978
00:53:26,360 --> 00:53:29,600
Speaker 1: it was like, oh, come on, a little Kim. This

979
00:53:29,760 --> 00:53:32,040
Speaker 1: is like, this is so long ago, but I remembered.

980
00:53:32,040 --> 00:53:33,719
Speaker 1: I'm like, oh, is that why? Because she went in

981
00:53:33,760 --> 00:53:36,399
Speaker 1: for a little bit. Yeah she I think she went

982
00:53:36,440 --> 00:53:39,320
Speaker 1: in for little cs or something like that. Oh man,

983
00:53:39,719 --> 00:53:46,600
Speaker 1: TBT guys TBT the radio. Um, But I mean, yeah,

984
00:53:46,760 --> 00:53:48,839
Speaker 1: good for you, good for them holding each other down.

985
00:53:49,640 --> 00:53:52,560
Speaker 1: But yeah, I think it's just in New York Times.

986
00:53:52,560 --> 00:53:56,840
Speaker 1: Even like Michael Barbarrow on whatever that podcast is called,

987
00:53:57,719 --> 00:54:02,280
Speaker 1: was talking. He's talking about don't like it's an especially

988
00:54:02,320 --> 00:54:05,520
Speaker 1: long one. He's like, and this investigation has gone on

989
00:54:05,680 --> 00:54:09,480
Speaker 1: for years now, Like what's technically right? It's like, yeah,

990
00:54:09,560 --> 00:54:12,799
Speaker 1: but that's how long these go, man, Like, and you're

991
00:54:12,840 --> 00:54:16,600
Speaker 1: making it seem like that is completely a conservative talking point,

992
00:54:16,680 --> 00:54:21,040
Speaker 1: Like they've been saying this since like month ten, that like, well,

993
00:54:21,080 --> 00:54:22,839
Speaker 1: we gotta wrap this up, we gotta wrap this up.

994
00:54:22,880 --> 00:54:25,640
Speaker 1: And like I just feel like they, like the conservative

995
00:54:25,680 --> 00:54:29,280
Speaker 1: side of the media got everybody like got the tempo

996
00:54:29,440 --> 00:54:32,680
Speaker 1: pick like sped up enough that people are like, yeah,

997
00:54:32,600 --> 00:54:35,280
Speaker 1: when's this report coming, And it's just like it doesn't

998
00:54:35,280 --> 00:54:37,600
Speaker 1: really make sense. Man, There's there's a lot of ship

999
00:54:37,640 --> 00:54:41,280
Speaker 1: to uncover, and we're not even close to the fucking

1000
00:54:41,680 --> 00:54:44,560
Speaker 1: average length of a Special Council's investige and and people's

1001
00:54:44,600 --> 00:54:47,200
Speaker 1: expectations around it. It's like Q and On for liberals,

1002
00:54:47,640 --> 00:54:49,279
Speaker 1: you know what I mean, Like they they're hoping this

1003
00:54:49,320 --> 00:54:52,960
Speaker 1: book is just gonna blow Trump's scalp off. You know

1004
00:54:53,000 --> 00:54:54,439
Speaker 1: what I mean. I mean, I think there's a little

1005
00:54:54,440 --> 00:54:58,480
Speaker 1: bit more to go on than Q and On. Probably, Yeah,

1006
00:54:58,560 --> 00:55:00,640
Speaker 1: but I mean no in the sense that this is

1007
00:55:00,680 --> 00:55:03,800
Speaker 1: like a singular moment that could you know, that change

1008
00:55:03,840 --> 00:55:06,960
Speaker 1: everything and we'll remove Trump from office and then the

1009
00:55:07,080 --> 00:55:10,319
Speaker 1: nightmare will be slightly over. Yes, you know what I mean,

1010
00:55:10,360 --> 00:55:12,399
Speaker 1: And I don't, and I think that's not gonna happen.

1011
00:55:12,400 --> 00:55:15,440
Speaker 1: A lot of this enthusiasm around it, I think it's

1012
00:55:15,640 --> 00:55:17,680
Speaker 1: it's based in that. That's why even for us when

1013
00:55:17,680 --> 00:55:19,480
Speaker 1: we talk about it or like, I'm not really expecting

1014
00:55:19,520 --> 00:55:21,560
Speaker 1: this thing to be the be all end all. I'm

1015
00:55:21,560 --> 00:55:24,520
Speaker 1: sure it's gonna put things out there that we're gonna

1016
00:55:24,560 --> 00:55:28,560
Speaker 1: have to have here explanations about. But I'm not personally

1017
00:55:28,680 --> 00:55:31,239
Speaker 1: putting all my eggs in this basket to be like,

1018
00:55:31,800 --> 00:55:35,319
Speaker 1: please come through with the Muther Report, Yeah, solve all

1019
00:55:35,320 --> 00:55:40,480
Speaker 1: our problems. Both pages have the report at nine and

1020
00:55:40,520 --> 00:55:44,279
Speaker 1: sixty pages, and they both have it dropping on March,

1021
00:55:45,280 --> 00:55:48,239
Speaker 1: so I think they're just copying off of each other.

1022
00:55:48,480 --> 00:55:51,840
Speaker 1: Then they're cheating in school. I think Drink is going

1023
00:55:51,920 --> 00:55:56,160
Speaker 1: to drop an album to Honestly, that would be huge

1024
00:55:56,680 --> 00:56:01,000
Speaker 1: and m oh wow, that's what the Mulla report is.

1025
00:56:01,440 --> 00:56:03,799
Speaker 1: Actually it's it's a Beyonce album. She has that kind

1026
00:56:03,800 --> 00:56:12,120
Speaker 1: of power. Well, Sydney, it's been a pleasure having you.

1027
00:56:12,840 --> 00:56:17,120
Speaker 1: Where can people find you and follow you on line?

1028
00:56:18,800 --> 00:56:21,040
Speaker 1: You know, my my Twitter is a work in progress,

1029
00:56:21,200 --> 00:56:22,719
Speaker 1: but if you you know, you want to see the

1030
00:56:22,760 --> 00:56:28,600
Speaker 1: growth coming along, find me on Twitter at just said NYC.

1031
00:56:29,040 --> 00:56:32,400
Speaker 1: That's j U s T s y d n y C.

1032
00:56:32,800 --> 00:56:36,480
Speaker 1: I'm on the instagrams. That's popping. You know. If you

1033
00:56:36,640 --> 00:56:40,520
Speaker 1: like photos, if you like the New Bible, right, go

1034
00:56:40,640 --> 00:56:43,239
Speaker 1: to my instagram. You should put verses next to your

1035
00:56:43,280 --> 00:56:47,520
Speaker 1: running first. Yea, I should start over. Yeah, okay, I

1036
00:56:47,520 --> 00:56:51,319
Speaker 1: don't start over, you just start reposting right right right.

1037
00:56:51,680 --> 00:56:55,200
Speaker 1: Find me on Instagram at just said b W. So

1038
00:56:55,239 --> 00:56:57,920
Speaker 1: that's today U S T s y d b W.

1039
00:56:58,440 --> 00:57:01,239
Speaker 1: And I have a podcast one Forever Dog called The

1040
00:57:01,320 --> 00:57:05,600
Speaker 1: Unofficial Expert with Marie Boston. It's so fun you should listen,

1041
00:57:05,920 --> 00:57:10,560
Speaker 1: very good. Yeah, it is. It's a delightful and messy

1042
00:57:11,040 --> 00:57:15,120
Speaker 1: and is there a tweet you've been enjoying? Mmm, I'm

1043
00:57:15,200 --> 00:57:17,920
Speaker 1: so narcissistic. So we're just gonna go with one of

1044
00:57:17,920 --> 00:57:21,560
Speaker 1: my TWI to show you what I'm doing with my

1045
00:57:21,680 --> 00:57:26,160
Speaker 1: social media's. It got a lot of heat, but I'm

1046
00:57:26,160 --> 00:57:30,640
Speaker 1: gonna stick to it. It's um. Pete Davidson is a

1047
00:57:30,680 --> 00:57:37,160
Speaker 1: constant reminder to just be yourself if you're a man. Good.

1048
00:57:37,200 --> 00:57:39,360
Speaker 1: It was a good one and it was no, no

1049
00:57:39,400 --> 00:57:42,080
Speaker 1: shade to Pete. I think he's awesome, but it just

1050
00:57:42,120 --> 00:57:45,800
Speaker 1: shows you that like a man can basically say hey,

1051
00:57:45,840 --> 00:57:49,360
Speaker 1: I want to die and like also look tired, and

1052
00:57:49,480 --> 00:57:53,400
Speaker 1: he's still getting bad bitches left and right. He's courtside

1053
00:57:53,640 --> 00:57:57,160
Speaker 1: thriving right now, right yeah, and then yeah if uh yeah,

1054
00:57:57,160 --> 00:57:59,640
Speaker 1: with the women being honest, like oh she's hysterical and

1055
00:57:59,760 --> 00:58:02,440
Speaker 1: come on, what's going on? No? No, no, no, It's

1056
00:58:02,480 --> 00:58:04,640
Speaker 1: like when the last time you've seen a woman have

1057
00:58:04,720 --> 00:58:08,000
Speaker 1: a full on meltdown like on social media and then

1058
00:58:08,080 --> 00:58:10,360
Speaker 1: got get some long dick after that, it's not happening.

1059
00:58:10,360 --> 00:58:14,040
Speaker 1: I mean, Amanda Bindes was asking Drake to murder they're downstairs.

1060
00:58:14,120 --> 00:58:17,160
Speaker 1: Oh my gosh. Yeah, it's yeah, exactly, but no, no, no,

1061
00:58:17,200 --> 00:58:19,160
Speaker 1: but that's precisely yeah, exactly. I know it's exactly what

1062
00:58:19,200 --> 00:58:22,880
Speaker 1: you mean. She definitely didn't. Yeah, she looks good. Yeah,

1063
00:58:22,920 --> 00:58:25,680
Speaker 1: well it took some time. Yeah, it wasn't right after No,

1064
00:58:25,800 --> 00:58:28,200
Speaker 1: it wasn't. It was as soon as she was talking

1065
00:58:28,200 --> 00:58:30,720
Speaker 1: about all she's a little gay now it just got

1066
00:58:30,760 --> 00:58:35,080
Speaker 1: it got reckless with Amanda. Yeah, people were worried. Yeah,

1067
00:58:35,800 --> 00:58:38,960
Speaker 1: it's a tough time for us. All Where can people

1068
00:58:39,000 --> 00:58:42,960
Speaker 1: find you? You You can find me on Twitter and Instagram

1069
00:58:43,000 --> 00:58:46,640
Speaker 1: at Miles of Gray a couple of tweets. I like,

1070
00:58:47,080 --> 00:58:49,880
Speaker 1: let's see, Oh, one is this from Jamie Loftus. She goes,

1071
00:58:49,920 --> 00:58:53,440
Speaker 1: why is this Don cheatles Wikipedia? Pick and I guess

1072
00:58:53,520 --> 00:58:58,360
Speaker 1: this is Don Cheatles Wikipedia? The worst? Don't do don

1073
00:58:58,520 --> 00:59:02,440
Speaker 1: like that? He looks so unsure. That looks his picture

1074
00:59:02,680 --> 00:59:05,919
Speaker 1: for the Wikipedia page. She was like, oh, they need

1075
00:59:05,920 --> 00:59:09,680
Speaker 1: a headshot at me. I have a question. Yes, you're

1076
00:59:09,720 --> 00:59:12,760
Speaker 1: doing pretty well on Twitter, just throw it out there.

1077
00:59:14,320 --> 00:59:19,360
Speaker 1: Have you deleted tweets? No, m Why is your tweets

1078
00:59:19,400 --> 00:59:21,680
Speaker 1: are just so low for the amount of followers. Oh,

1079
00:59:21,720 --> 00:59:23,880
Speaker 1: I don't. I don't tweet a lot. Oh so you're

1080
00:59:23,920 --> 00:59:29,440
Speaker 1: just that's off the strength of this podcast. Yeah, yeah, Hey,

1081
00:59:29,480 --> 00:59:35,760
Speaker 1: are you guys looking for another car? Upa that follow account?

1082
00:59:35,760 --> 00:59:38,560
Speaker 1: Go up? Is that game? Please pull up and follow

1083
00:59:38,600 --> 00:59:41,680
Speaker 1: Sydney on because she's looking at me like I'm buying

1084
00:59:41,720 --> 00:59:49,280
Speaker 1: fucking It's just are you deleting tweets? I do it

1085
00:59:49,280 --> 00:59:53,400
Speaker 1: on your own podcast? I like it. No, I appreciate it,

1086
00:59:53,680 --> 00:59:56,440
Speaker 1: but no, that's just off the strength of this second

1087
00:59:56,480 --> 00:59:59,480
Speaker 1: rate podcast. I love it. I'm gonna just do that

1088
00:59:59,520 --> 01:00:02,120
Speaker 1: one that's out because I just could not the face

1089
01:00:02,120 --> 01:00:04,320
Speaker 1: of Don Cheetle. It really looks like he doesn't even

1090
01:00:04,360 --> 01:00:08,200
Speaker 1: believe he's Don Cheetle. Yeah, he's He's he's going through it.

1091
01:00:08,200 --> 01:00:10,520
Speaker 1: I feel like he's going through something. But also like

1092
01:00:10,960 --> 01:00:14,560
Speaker 1: men age weirdly sometimes like it's either you're like, oh

1093
01:00:14,600 --> 01:00:19,040
Speaker 1: my god, you're George Clooney or you're Stu ste This

1094
01:00:19,120 --> 01:00:23,760
Speaker 1: is the second time you have Dre. He's the nicest

1095
01:00:23,760 --> 01:00:28,120
Speaker 1: guy ever. He's well, he you know, he's kind. Have

1096
01:00:28,200 --> 01:00:30,960
Speaker 1: you have you been on the receiving end of his half?

1097
01:00:30,960 --> 01:00:34,240
Speaker 1: I have not his tip never died, I say that,

1098
01:00:34,520 --> 01:00:36,840
Speaker 1: but I've served him several times, and he's like one

1099
01:00:36,880 --> 01:00:40,640
Speaker 1: of the best celebrities to wait on wow. But I'm

1100
01:00:40,640 --> 01:00:42,880
Speaker 1: not going to say he doesn't look like he's melting.

1101
01:00:43,120 --> 01:00:47,320
Speaker 1: When I see him. He was like a looking dude.

1102
01:00:48,200 --> 01:00:53,560
Speaker 1: But when he was a firefighter, he was no, don't

1103
01:00:53,800 --> 01:00:57,080
Speaker 1: get his teps. Okay, I will, I will, I will

1104
01:00:57,160 --> 01:01:00,360
Speaker 1: check it out. Oh, I mean yeah, there's some cool.

1105
01:01:00,480 --> 01:01:02,760
Speaker 1: He looks like a handsome Steve again, like a young Bush.

1106
01:01:03,320 --> 01:01:05,520
Speaker 1: He was young for a little bit and then all

1107
01:01:05,560 --> 01:01:10,360
Speaker 1: of a sudden, just rapid boom. Yeah. Looks when he

1108
01:01:10,440 --> 01:01:14,160
Speaker 1: was like but that was his wife. Yeah, you just

1109
01:01:14,200 --> 01:01:16,760
Speaker 1: fall off a cliff. It depends sometimes. Yeah, unless you

1110
01:01:16,800 --> 01:01:19,280
Speaker 1: made a deal with the devil right white age badly

1111
01:01:20,480 --> 01:01:24,280
Speaker 1: you said it. That is Jack Underscore O'Brien on Twitter,

1112
01:01:25,160 --> 01:01:29,560
Speaker 1: lets mentioned follow me at that Jack Underscore Olbrian a

1113
01:01:29,560 --> 01:01:34,160
Speaker 1: couple of tweets. I've been enjoying Man nuclear bomb. Manuclear

1114
01:01:34,200 --> 01:01:38,439
Speaker 1: bomb tweeted uh screen caps of a headline that says

1115
01:01:38,560 --> 01:01:42,600
Speaker 1: library cat outlast councilman that wanted him gone and then

1116
01:01:42,760 --> 01:01:45,320
Speaker 1: beloved cat will keep his job at the local library

1117
01:01:45,400 --> 01:01:48,400
Speaker 1: after international backlash. And he said you come with the king,

1118
01:01:48,440 --> 01:01:52,640
Speaker 1: you best not miss h which is true. Don't work

1119
01:01:52,680 --> 01:01:56,360
Speaker 1: with that cat. Wait, can I there's one more tweet?

1120
01:01:56,400 --> 01:01:58,520
Speaker 1: That I want to it's not mine, because I was like,

1121
01:01:58,560 --> 01:02:02,640
Speaker 1: that's kind of rude. Um, okay, So Cole Escola wrote,

1122
01:02:03,040 --> 01:02:06,440
Speaker 1: while my peeps were in college, I was prostituting myself

1123
01:02:06,480 --> 01:02:08,600
Speaker 1: on Craigslist to pay my rent. Well, I had a

1124
01:02:08,600 --> 01:02:12,760
Speaker 1: show on logo why is my caps luck coin? It's funny.

1125
01:02:13,320 --> 01:02:15,560
Speaker 1: I didn't I didn't say it right, but it's so

1126
01:02:15,640 --> 01:02:20,160
Speaker 1: funny because it's like, Okay, we see these people in college,

1127
01:02:20,200 --> 01:02:26,760
Speaker 1: but like there's some of us that we're doing just whatever. Yeah, financially,

1128
01:02:27,120 --> 01:02:30,280
Speaker 1: you have certain options financial Yeah. And at the Hill

1129
01:02:30,360 --> 01:02:33,360
Speaker 1: tweeted about a story we'll probably get into but a

1130
01:02:33,400 --> 01:02:37,160
Speaker 1: new app Let's conservatives label restaurants as quote safe spaces

1131
01:02:37,280 --> 01:02:42,000
Speaker 1: for pro Trump guests, and uh at Silky Jumbo tweeted

1132
01:02:42,160 --> 01:02:48,360
Speaker 1: Green Book the sequel. I love amazing. She's so good.

1133
01:02:48,840 --> 01:02:52,840
Speaker 1: You can find us on Twitter at Daily's. I guys

1134
01:02:52,840 --> 01:02:54,760
Speaker 1: were at the dailys. I guys on Instagram. We have

1135
01:02:54,800 --> 01:02:57,919
Speaker 1: a Facebook campage and a website Dailies like guys dot Com.

1136
01:02:58,320 --> 01:03:01,200
Speaker 1: We post our episodes and our foot No One Girls,

1137
01:03:01,240 --> 01:03:04,040
Speaker 1: where we only call to the information. We talked about

1138
01:03:04,160 --> 01:03:08,000
Speaker 1: today's episode well as the song We've ride out On's

1139
01:03:08,000 --> 01:03:11,000
Speaker 1: what's that going to be here? Uh? This is from

1140
01:03:11,040 --> 01:03:16,960
Speaker 1: a songwriter singer from South London. Uh, I've this is

1141
01:03:17,000 --> 01:03:19,400
Speaker 1: just the first track I've heard from her. Her name

1142
01:03:19,480 --> 01:03:23,440
Speaker 1: is Ego L M A M. And it's just like Yo,

1143
01:03:23,880 --> 01:03:25,880
Speaker 1: she's a great singer. It's like it's on that neo

1144
01:03:25,960 --> 01:03:29,200
Speaker 1: soul vibe. And the band playing with her two is

1145
01:03:30,640 --> 01:03:34,920
Speaker 1: every person, whether it's a personal electric piano based drums

1146
01:03:35,000 --> 01:03:38,040
Speaker 1: like everyone is they're bringing in. So I was very

1147
01:03:38,040 --> 01:03:39,240
Speaker 1: surprised when I heard this, and I was like, I

1148
01:03:39,280 --> 01:03:41,080
Speaker 1: want to hear more about from this artist. Only one

1149
01:03:41,120 --> 01:03:43,920
Speaker 1: song out now and it's this one from Ego L

1150
01:03:44,040 --> 01:03:46,800
Speaker 1: M A and it's called table for one. All right,

1151
01:03:46,880 --> 01:03:49,080
Speaker 1: we're gonna ride out on that. We will be back

1152
01:03:49,080 --> 01:03:51,440
Speaker 1: tomorrow because it is a daily podcast, and we'll talk

1153
01:03:51,440 --> 01:04:05,800
Speaker 1: to you guys. Then I say to the dragons found

1154
01:04:05,920 --> 01:04:13,200
Speaker 1: the last to Night and my down, treat the holding

1155
01:04:13,400 --> 01:04:25,520
Speaker 1: your se down like this day and I'll have a

1156
01:04:25,600 --> 01:04:27,920
Speaker 1: tableful one. I have