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Speaker 1: Hello the Internet, and welcome to season episode two of

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Speaker 1: their Daily Night Guys, a production of My Heart Radio.

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

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Speaker 1: into America's share consciousness and say, officially, off the top,

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Speaker 1: fuck Coke Industries and funk Fox News. It's Tuesday, September two, tea.

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Speaker 1: My name is Jack O'Brien a K. I never told

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Speaker 1: you about the cold gas? Did I tell you about that?

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Speaker 1: Donning Krueger chatted catching all this flag? But y'all love

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Speaker 1: me for my second rate podcast. And this is why

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Speaker 1: I always need This is why I always need diet

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Speaker 1: Mountain Dude. This is why I always need Diet Mountain

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Speaker 1: d And that is courtesy of somebody's name who I

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Speaker 1: don't have in front of me. Uh but thank you

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Speaker 1: for that piece spoker Nickelback. OK. I will shut you

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Speaker 1: out at the end of the episode. And I'm thrilled

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Speaker 1: to be joined as always by my co host, Mr

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Speaker 1: Miles greg This is my co host, Jack. I like

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Speaker 1: my Coklan cold rule black. I say yes right off

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Speaker 1: the top, sick to say, I smoke a little pot.

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Speaker 1: Her Majesty is my Queen Mom sold Burberry into my

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Speaker 1: jeans only eading Taco Bill. I hope to that gang

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Speaker 1: is doing well. Give me to the hospital. Serious thank

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Speaker 1: you to Elizabeth ka at Eken's thirties three for that one.

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Speaker 1: Literally safe to say newvies coming out of the would work.

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Speaker 1: People are like listening, you know, weaving in anecdotes about

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Speaker 1: how my mother selflessly after screaming at her as a teenager.

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Speaker 1: So this barberry patch on my jeans and my diet

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Speaker 1: mountain dew. This is why I was courtesy of Guarantee

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Speaker 1: Fairy at the Sore Guarantee Favorite Fairy, Guarantee Fairy. Yeah. Well,

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Speaker 1: we are thrilled to be joined in our third s

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Speaker 1: by the hilarious Jake Keith band Stratton. Do I have

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Speaker 1: to sing? I mean, do I get to sing? Yeah? Oh,

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Speaker 1: I don't know what songs but the Nickelback song that

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Speaker 1: I would know. This is how you remind me. People

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Speaker 1: don't like us. They think we are bad, and I'm

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Speaker 1: the guest there. Yeah, all right, that's what that is.

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Speaker 1: Kind of the only thing that's known about Nickelback. People

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Speaker 1: don't like them until the packet of about fifty pages

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Speaker 1: of prep material that was not on there until today.

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Speaker 1: Because we're going deep on the history of Nickelback Today. Guys.

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Speaker 1: Uh No, We're gonna damn Jake Keith. We're gonna get

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

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Speaker 1: we're going to talk about what's going on in the

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Speaker 1: Varsity Blues scandal with Felicity Huffman, her sentencing, the wild

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Speaker 1: couple of days that the president has been having on Twitter, um,

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Speaker 1: and just general speculation about what is after the presidency

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Speaker 1: for the Trump dynasty. We're gonna talk about the Apple

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Speaker 1: card and the new iPhone. We're gonna talk about Impossible

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Speaker 1: Meat and whether whether people care that it might have

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Speaker 1: the same calories and fat and more salt than the

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Speaker 1: regular burgers it's replacing. We're gonna talk about the fact

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Speaker 1: that the Joker one Goldline at Venice uh and that

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Speaker 1: it chapter two made ninety one million in the US

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Speaker 1: alone over the weekend, and asked the question why do

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Speaker 1: we still love clowns? Um the first j We like

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Speaker 1: to ask our guests, what's something from your search history

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Speaker 1: that's revealing about who you are? I was searching today

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Speaker 1: for I have a date tonight, and dating in l

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Speaker 1: A is mostly about logistics. Once once you match with

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Speaker 1: somebody on an app. It's mostly then about figuring out

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Speaker 1: where you're gonna go and uh and trying to figure

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Speaker 1: out what's fair because you know, if I work, let's

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Speaker 1: I work in Culver City, this is gonna be fascinating

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Speaker 1: people who outside of that l But that's but this

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Speaker 1: is a learning list. Okay, So I work in Culver City,

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Speaker 1: I live in Beverly Fairfax, and this woman that I'm

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Speaker 1: meeting tonight lives in sort of last Felis Silver Lake area.

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Speaker 1: So my home is between my work and where she

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Speaker 1: where she's coming from, So is halfway between my work

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Speaker 1: and where she lives, which would be nine neighborhood, or

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Speaker 1: is halfway between my neighborhood and where she lives. So

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Speaker 1: it's a lot of figuring figuring out there. Also, I

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Speaker 1: know it's not gonna work out, So yeah, there's that

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Speaker 1: there's that kind of optimism that you get to to

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Speaker 1: build this. Make it a Skype call. Yeah, to also look,

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Speaker 1: you know, the metrics are like where can I go?

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Speaker 1: That looks like I'm an interesting person for having selected this,

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Speaker 1: but I don't. I don't have to pay for a cocktail. Yeah,

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Speaker 1: and let them know you were just on a podcast

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Speaker 1: to you to give all the behind the scenes of

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Speaker 1: ladies love that. Yeah, I'm like, where do I go?

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Speaker 1: Does this so cool? Where are you going? You know?

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Speaker 1: I I, well, I propose the Cat and Fiddle, which

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Speaker 1: is Highland Melrose, which is which is sort of like

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Speaker 1: it's it's farther than halfway between my work and her home,

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Speaker 1: but not quite halfway from my home and her home.

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Speaker 1: So hopefully that'll get appreciated. Yeah, I like the place.

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Speaker 1: I liked it when they were right around here on

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Speaker 1: Sunset on Sunset, but now they've moved to Highland there,

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Speaker 1: and I don't know if we'll see we'll see what happens.

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Speaker 1: But that's what I was inside, being on the west

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Speaker 1: side and dating someone on the east side that's like

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Speaker 1: Hatfields McCoy, that is that is Romeo and Juliet's star crusted. Yeah.

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Speaker 1: You know, you have to be my age and so

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Speaker 1: you're as I was aging in dating. Part of my

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Speaker 1: thinking was like, well, I'll expand my my geographic search

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Speaker 1: because you know, there are fewer options I get older,

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Speaker 1: but also as I get older, I want to travel less.

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Speaker 1: Once you once you get once you get oh you're

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Speaker 1: pretty much Yeah, it's pretty much just staying in your neighborhood. Yeah,

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Speaker 1: they were friends or like friends. I haven't been very

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Speaker 1: close with I have like close friends with them on

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Speaker 1: the West Side. I still interact with them people who

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Speaker 1: not so much when they moved to the West Side.

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Speaker 1: That's the true test. And I'm like, they could be

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Speaker 1: dead for all. I mean, I'd like to point out

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Speaker 1: I'm willing to go past Last Sienago for love. I

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Speaker 1: don't think I'm willing to go to Encino. Yeah. Yeah,

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Speaker 1: and Cino is just right over there. It's closer than

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Speaker 1: you think. Man. That I mean, just as a value,

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Speaker 1: you know, advocate for the value, you know, the piece

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Speaker 1: of blessings to all the people have been seen. What

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Speaker 1: is something you think is overrated? Cards against Humanity? I

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Speaker 1: love comedy and I love games. I just hosted a

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Speaker 1: game night at my home last night. You guys did

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Speaker 1: not attend. I realized I also did not invite. You know,

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Speaker 1: would have been amazing on the Graham. I'd be happy

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Speaker 1: to have you in the future. Usually host him every

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Speaker 1: other week. Um, and we would probably be happy to

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Speaker 1: have you back on this podcast once that happens. I

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Speaker 1: mean already, I already had him on my podcast. That's

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Speaker 1: why I'm back. We don't want to reveal the dirty

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Speaker 1: underbelly that we use our podcast in part and should

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Speaker 1: I should? I point out that I would have to

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Speaker 1: let you win. I hate that. I know people that win.

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Speaker 1: So I love games and I love comedy, and I

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Speaker 1: cannot stand cards against humanity and I and even more so,

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Speaker 1: I cannot stand people posting photos of funny combinations that

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Speaker 1: came up cards against humanity because it's pretty much just well,

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Speaker 1: but I love class I play a lot of games

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Speaker 1: from the eighties and the early two thousand's. I have

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Speaker 1: no judgment on that. I just find it completely un

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Speaker 1: creative and unfunny. And then when people post something of like,

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Speaker 1: look at this crazy combination of things, it's like, yeah,

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Speaker 1: that would happen, because those things were already preprinted and

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Speaker 1: pre manufactured, and eventually those combinations would comedians. Yeah, it

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Speaker 1: doesn't mean that you're clever for having selected and and

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Speaker 1: you know it's based on Apples to Apples, which is

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Speaker 1: a great game that you can play with with kids

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Speaker 1: or with with the elderly. Unlike humanity. Yeah, but but

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Speaker 1: at least with Apples to Apples, you're you're you're a

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Speaker 1: you're learning a little something about what the certain topics are,

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Speaker 1: but you also you also get some insight into the

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Speaker 1: people that you're playing with, like, oh, I think that

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Speaker 1: person would choose that combination of things, and for card

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Speaker 1: tigin humanity, there's none of that. It's it's just all

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Speaker 1: random guessing. Well, I will say I agree with manufactured outrage.

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Speaker 1: I think there is something though, like when you're playing cards,

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Speaker 1: you do have to predict, like based on their sense

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Speaker 1: of humor. It's like I could put something that's witty

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Speaker 1: because based on the person who's picking, or something that's

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Speaker 1: just completely absurd. I'm not saying that that's it's more

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Speaker 1: it's more about like outrage, you know, it's being being

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Speaker 1: the craziest, wackiest. I just think it loses its excitement

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Speaker 1: after you play it the first time. Yeah, I think.

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Speaker 1: And the only other times I've enjoyed playing it has

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Speaker 1: been like I've not been sober, and then even then

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Speaker 1: the only good and sauce for arms or whatever that

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Speaker 1: card is love that one. No, it's like play at

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Speaker 1: once be amazed, like, oh my gosh, this thing is

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Speaker 1: so outrageous, and they put it in print. Wow, that's

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Speaker 1: kind of weird to see something so what ragious in

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Speaker 1: print and then and then move on to something. That's

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Speaker 1: how they need all those modifier decks now, because I

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Speaker 1: think people at a certain point it's like, right, you said,

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Speaker 1: the pope likes to jerk off on an old foot

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Speaker 1: or whatever the weird combo is, and wow, I mean

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Speaker 1: I'd rather play categories, but the pope is so holy yeah,

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Speaker 1: exactly why would he? Guys? I mean, let me, let

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Speaker 1: me explain why it's funny. Yeah, I mean Apples and

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Speaker 1: Apples is a fun game, but not enough, pope, what

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Speaker 1: is a good what is a good comedy game? To you? Games?

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Speaker 1: I like regular games where it ends up being funny

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Speaker 1: because people are under pressure and doing something unexpected. So

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Speaker 1: for me, pictionary is always funny. Funny Celebrity Celebrity is

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Speaker 1: one of my favorite games. Balderdash you can at least

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Speaker 1: be witty and clever and how you can get people

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Speaker 1: to guess fake definitions of things. I like those kinds

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Speaker 1: of things. But also I just have fun playing, you know.

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Speaker 1: There's also just not much very conversational about that game. Also,

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Speaker 1: it's like you you're waiting for someone to play something,

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Speaker 1: they play the wacky thing you make a statement about

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Speaker 1: like oh, that's so crazy, and then you move on

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Speaker 1: to the next thing. Like it doesn't it doesn't allow conversation,

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Speaker 1: It doesn't allow other than being amazed at how crazy

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Speaker 1: those combinations are. I'm not very tapped into the game

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Speaker 1: world unless it's on console. But like, there was a

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Speaker 1: version of Charades where it started off as just sort

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Speaker 1: of acting something out, but as each round got harder,

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Speaker 1: there's like the same twenty things people had to act out,

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Speaker 1: but you had less and less ability to actually emote

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Speaker 1: or gesture. So like first you would actually do you know,

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Speaker 1: proper shirt, you don't act it out. Then you could

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Speaker 1: only just use like your face. And then as it

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Speaker 1: got one of the more extreme rounds is you put

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Speaker 1: a sheet over yourself and then you try and act

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Speaker 1: it out with a sheet over you. And that was

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Speaker 1: just kind of got funny because you began to just

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Speaker 1: pick up on micro movements that suggest it was this

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Speaker 1: one answer, but you know, I play that once. It's

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Speaker 1: like some people who are too good at celebrity or

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Speaker 1: too comfortable in a sheet, they just come out from

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Speaker 1: under in their naked Yeah. Yeah, I've never played a

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Speaker 1: game of celebrity that didn't include people like laughing their

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Speaker 1: ass off at each other themselves until I overturned the

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Speaker 1: table and then and you're like, mutch less laughter. What

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Speaker 1: is something you think is underrated? I have been binge

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Speaker 1: listening as a podcast all of the original episodes of

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Speaker 1: Dragnet from the nineties and fifties, and it is some

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Speaker 1: of the best written drama. It's it's it's sort of

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Speaker 1: the original police procedural um and people familiar maybe with

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Speaker 1: the Dan Acroyd Tom Hanks movie, maybe they're familiar with

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Speaker 1: the TV show, but it all started as an old

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Speaker 1: time radio show, and it is fascinating how freaking good

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Speaker 1: it is. Some of the original episodes are lost on them,

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Speaker 1: up to about episode eighty or so out of like

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Speaker 1: two and fifty, and it's just it's it's a really

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Speaker 1: good police procedural. And this thing that's so fascinating about

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Speaker 1: it is what they choose to dramatize and what they

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Speaker 1: choose just to sort of narrate around. And it's really dark,

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Speaker 1: like you would think, you know, even though it's even

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Speaker 1: though it's also wholesome and kind of whitewashed from that era,

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Speaker 1: but there's also murders and rapes, and you know, on

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Speaker 1: one episode they're trying to find someone's lost for coat,

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Speaker 1: and another one there's you know, a triple homicide in

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Speaker 1: the park um And the great thing about it is

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Speaker 1: that it takes place in l A. And so there's

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Speaker 1: references to all these things in l A that, you know,

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Speaker 1: the street names that are still the same and the

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Speaker 1: places that aren't there anymore. You know, they talk about

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Speaker 1: the you know that the Dodgers might be coming to

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Speaker 1: Los Angeles from Brooklyn. Uh. So that so it's it's

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Speaker 1: just really fun and this and uh and and it

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Speaker 1: really keeps you into the story. And even though you know,

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Speaker 1: even though you know that they're just in a studio

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Speaker 1: and and someone is making sound effects and all that,

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Speaker 1: it really feels like they're in their car and they're

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Speaker 1: going out to the valley. And uh. It's just really

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Speaker 1: really really really enjoyable and incredibly well acted, even though

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Speaker 1: some of it's a little silly because you know, basically

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Speaker 1: they're Their procedure is you find the suspect, you ask

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Speaker 1: him three times. In the fourth time you say come on,

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Speaker 1: and they give it up. Yeah, there's a little bit

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Speaker 1: of that and also my my my favorite thing about

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Speaker 1: it also is that um uh, they could be walking

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Speaker 1: down a hallway or on a beach or on a

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Speaker 1: mountaintop and the footsteps sounded the same. It's like sounds

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Speaker 1: like it's like like tap shoes at the beach. Yeah,

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Speaker 1: but it's really really enjoyable and um like I said,

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Speaker 1: I don't let it as a podcast and usually listen

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Speaker 1: to it at night we're going to bed, and it's outstanding.

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Speaker 1: I mean, I hope, I hope I'm not repeating one

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Speaker 1: that's that's come up a lot. I'm sure you get

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Speaker 1: a lot of recommending old time radio. So it was

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Speaker 1: a radio show. Also started started the radio show with

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Speaker 1: Jack Webb as as Joe Friday, and then he also

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Speaker 1: of course played him on on TV as well. Yeah.

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Speaker 1: I think there was a movie also in the sixties

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Speaker 1: as well. The TV show taught me everything I needed

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Speaker 1: to know about l s D. I don't know if

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Speaker 1: you've seen the dragad LSD episode, but it well, there

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Speaker 1: was one episode I've listened to on the radio, on

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Speaker 1: the radio version where there's a suspicion of marijuana being

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Speaker 1: in a high school, and so they asked this. They

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Speaker 1: asked this girl like if she they're trying to find

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Speaker 1: the source of it, and they asked this one high

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Speaker 1: school girl, you know, like did you notice anything strange

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Speaker 1: about It's like, well, there was this strange muskie smell,

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Speaker 1: and it's like and then when I got into his car,

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Speaker 1: there was also that strange musky smell and if he

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Speaker 1: was acting a little weird, yeah, exactly. They uncover l

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Speaker 1: S D use among a group of hippies in this

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Speaker 1: one episode and uh, and it ends with one of

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Speaker 1: the like drug using hippies, Like they show up to

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Speaker 1: his apartment and he's like laying down and one of

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Speaker 1: his friends is like, he said he wanted to get

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Speaker 1: further out and Friday checks his pulse and goes, well

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Speaker 1: he made it. He's dead from LSUM fucking CSI music

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Speaker 1: and have Caruso though sunglasses dio. The radio version is

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Speaker 1: there's like there's action, there's chase, there's car chases and

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Speaker 1: there's shootouts and does it work? It really does. This

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Speaker 1: is interesting to me about you bringing this up because

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Speaker 1: like we live in it. We're sort of re entering

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Speaker 1: this sort of space again with podcasts, right, and then

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Speaker 1: we failed to sort of even see it's like they

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Speaker 1: were fucking perfecting ship when they only had radio. Yeah,

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Speaker 1: I mean some of you know, of course, they have

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Speaker 1: to narrate it a little bit. It's like, yeah, look out, Joe,

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Speaker 1: he's got a gun. He's shooting at you. You know,

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Speaker 1: there's a little bit of that. He's shooting in your

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Speaker 1: general direction. But like if you can pull off a

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Speaker 1: car chase and it's still exciting, I mean that really

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Speaker 1: says something. Look Out, look out, it's a woman with

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Speaker 1: a baby carriage. Do you have your eyes closed? He's

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Speaker 1: telling you, I'm on LSD. What is a myth? What's

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Speaker 1: something people think is true that you know to be false.

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Speaker 1: That Cleveland is um not a good place to visit.

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Speaker 1: I was just in Cleveland a few weekends ago. I

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Speaker 1: spent the weekend there. As I've mentioned on this show before,

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Speaker 1: I travel a lot often to accumulate mileage, and that

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Speaker 1: was there was a total mileage run to go to Cleveland,

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Speaker 1: and I had a great time. It's really really cool.

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Speaker 1: Hall I did. I went to the Rock and Roll

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Speaker 1: Hall of Fame. I stayed downtown. I walked to a

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Speaker 1: baseball game. Yeah, I walked to a baseball game. That

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Speaker 1: for those maybe from in a lot of cities that's normal,

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Speaker 1: but in l A that's unheard of. Uh yeah, and

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Speaker 1: it's great, you know, it's there are a lot of

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Speaker 1: neighborhoods that are being re energized, and unfortunately a lot

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Speaker 1: of those are just like mini Portland's, which because a

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Speaker 1: lot of the same across across the country. Um, but

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Speaker 1: it's still got a lot of great personality and very

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Speaker 1: walkable and gorgeous. Like you're looking over the these bridges

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Speaker 1: at sunset up over the river and off fronto the lake.

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Speaker 1: I got some incredible pictures that you would never believe

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Speaker 1: that was Cleveland, and great people and and super friendly.

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Speaker 1: I've never met a bad person from Cleveland there you go.

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Speaker 1: So yeah, no, it's it's something that even people who

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Speaker 1: I met there were like, really, you came here on

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Speaker 1: purpose for vacation, Drew Carey fan, Yeah exactly. Uh yeah,

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Speaker 1: I know. I had no other reason to go there. Then,

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Speaker 1: Oh it sounds cool. I hadn't been and and I

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Speaker 1: guess as like I said, I had, is a cheap

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Speaker 1: fair in need of the miles, and um yeah, really

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Speaker 1: really great time. As the presidents of the United States

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Speaker 1: of America said Cleveland rocks. Yeah, they did say that.

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Speaker 1: And there's some people who called the Clee and then

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Speaker 1: other people called the called the clean cle or the Cleveland. Interesting.

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Speaker 1: The land sounds a little bit better. Yeah, it's the

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Speaker 1: kind of place where, like I go to a bar

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Speaker 1: and people will actually talk to you. And I met

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Speaker 1: people at the baseball game, like I went there alone

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Speaker 1: and ended up ended up with friends. Love to hear that.

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Speaker 1: And the food is great. I should acknowledge that. The

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Speaker 1: only people I've ever met from Cleveland, or the characters

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Speaker 1: on the Drew Carey Show, I was gonna say, yeah,

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Speaker 1: I mean I do love those Well, all the women

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Speaker 1: wear heavy clown makeup. My friend, she's outrageous. Uh No,

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Speaker 1: shout out to Sean who is a listener of the

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Speaker 1: show and uh one of the smartest dudes I know.

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Speaker 1: And he moved back to Cleveland after college and is

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Speaker 1: had his bachelor party in Cleveland. He had a great time,

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Speaker 1: but walked to a baseball game. H it's great. It's

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Speaker 1: great to leave a place in the field. Oh, I

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Speaker 1: didn't get to do everything I wanted to do. Yeah, yeah,

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Speaker 1: I just want to go to I just I want

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Speaker 1: to go for the food actually, because I've seen so

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Speaker 1: many food specials, like at the West Side Market or something,

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Speaker 1: and all the food that's there and almost just get market.

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Speaker 1: Some of the best ice cream I've had there is

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Speaker 1: at Mitchell's. I went to Michael Simon, who I think

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Speaker 1: is an iron chef, has a barbecue place. There was

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Speaker 1: that that was that rageously good. Alright, so look, Ohio, dude,

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Speaker 1: we're doing the Lord's work for you. Just fly us out.

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Speaker 1: What I mean, was this an option in particular? Yeah,

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Speaker 1: but Cleveland, Cincinnati, I'll check out. You know, I love

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Speaker 1: I love sky language. You need someone to show you around, Yeah, exactly,

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Speaker 1: and any's gang that's there to house us. Alright, guys,

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Speaker 1: let's get into the latest on the Varsity Blues scandal.

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Speaker 1: I think this is the part that we were all

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Speaker 1: waiting for, which is the sentencing the justice pumper don't don't.

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Speaker 1: That's the law and order sound but done terribly. I

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Speaker 1: think we're on I think I mean we should be

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Speaker 1: filed under music podcast at this point. We might get

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Speaker 1: sued for copyright infringement just from my vocal stylings. But

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Speaker 1: Felicity Hoffman, her lawyers are asking that she just served

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Speaker 1: probation and community service and a five. Yeah, but the

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Speaker 1: prosecution is like, we're thinking, you know, embrace herself a

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Speaker 1: month in jail. Um, And you know, I think there

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Speaker 1: are people who are who want more, want less. Clearly

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Speaker 1: her lawyers thinks of community service and twenty dollars is

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Speaker 1: good enough. But I don't. Um. I think I don't

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Speaker 1: necessarily desire for her to be in jail for an

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Speaker 1: extended period of time. Necessarily that's some kind of kind

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Speaker 1: of right, am I am I wrong? Like I think

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Speaker 1: I think there's ways, though to tell these people that

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Speaker 1: you fucked up majorly. That doesn't just because I think

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Speaker 1: when she was on Desperate Housewives, she was making somewhere

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Speaker 1: near like four hundred thousand an episode, was twenty dollars, Like,

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Speaker 1: that's not an effective Well, that's not even close to

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Speaker 1: what she actually paid the guy to help the kid

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Speaker 1: get in. It's fifteen Yeah, she paid fifteen thousand, and

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Speaker 1: that was going to get her kid into pellege. No, No,

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Speaker 1: she only it was fifteen grand just to arrange that

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Speaker 1: fake test score because her kids the Jankie proctor. I

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Speaker 1: thought other people were other people like you know, Lori Laughlin.

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Speaker 1: I think was on the hook for half a million, right, Okay,

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Speaker 1: so that's why she is a little bit of a

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Speaker 1: different case. But anyway, and Lori Laughlin not guilty, as

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Speaker 1: she says, not good luck with that trial. Um, but

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Speaker 1: like you know this, I think, yeah, the fines could

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Speaker 1: be greater or do something that, you know, if you're

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Speaker 1: going to put that money into take the opportunity from

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Speaker 1: someone else, I think you have to make amends in

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Speaker 1: a in a much greater one of scholarship, like a

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Speaker 1: million a very least the sort of people that you

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Speaker 1: whose spot you were taking. But I do think she

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Speaker 1: should have a little jail time. I don't think it

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Speaker 1: needs to be huge or even even a couple of

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Speaker 1: like if she agrees to do the community service and

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Speaker 1: established a scholarship or something, right, I think some jail

402
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Speaker 1: time is because I think at the end of the day,

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Speaker 1: you want these people to be like, oh, maybe we

404
00:21:05,800 --> 00:21:08,320
Speaker 1: should just you know, gallivant to Santro pay on a

405
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Speaker 1: yacht for vacation, be like, oh, that's right, we took

406
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Speaker 1: a three million dollar hit last year. Maybe we need

407
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Speaker 1: to rethink that because we fucked up. Because we're trying

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Speaker 1: to game the college admission system in a in a

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Speaker 1: different way. But now she doesn't do any jail time

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Speaker 1: and just does the probation of that, is she still

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Speaker 1: a felon? She are you still a convicted felon? I

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Speaker 1: don't know if she I want her to be a felon? Yeah,

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Speaker 1: why not? I mean, you know, she could be up there.

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Speaker 1: But yeah, again I think it's it's seemingly a light touch.

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Speaker 1: But again when you but just hear her out, because

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Speaker 1: there are people who her lawyers are like, look, you know,

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Speaker 1: she was in a real tough spot when this guy

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Speaker 1: came up to her and told her that her daughter,

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Speaker 1: based on her own academic merit and ability, was unfit

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Speaker 1: to get into the school she wanted to apply to

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Speaker 1: or enter. She had no choice. Yeah, it's like what

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Speaker 1: And then her whole quote was from Huffman and I

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Speaker 1: think during a deposition or one of these um procedures

424
00:22:03,440 --> 00:22:05,840
Speaker 1: said quote, I felt an urgency which built to a

425
00:22:05,960 --> 00:22:08,879
Speaker 1: sense of panic that there was this huge obstacle in

426
00:22:08,920 --> 00:22:11,560
Speaker 1: the way that needed to be fixed for my daughter's sake.

427
00:22:11,920 --> 00:22:14,760
Speaker 1: As warped as it sounds now, I honestly began to

428
00:22:14,800 --> 00:22:17,560
Speaker 1: feel that maybe I would be a bad mother if

429
00:22:17,640 --> 00:22:20,680
Speaker 1: I didn't do what Mr. Singer was suggesting, which was

430
00:22:20,760 --> 00:22:23,200
Speaker 1: to cheat on her. That is good parenting, to teach

431
00:22:23,240 --> 00:22:25,879
Speaker 1: her kids that anything can be bought and that you

432
00:22:26,000 --> 00:22:28,879
Speaker 1: just you know, I understand where she's coming from, but

433
00:22:28,960 --> 00:22:32,159
Speaker 1: she still made the wrong choice. Yeah, like I have

434
00:22:32,240 --> 00:22:34,639
Speaker 1: I have empathy for her for wanting the best for

435
00:22:34,720 --> 00:22:37,520
Speaker 1: your child exactly. Yeah, you want the best for your child,

436
00:22:37,560 --> 00:22:41,479
Speaker 1: but you also can't like teach them that they can

437
00:22:41,720 --> 00:22:43,600
Speaker 1: buy their way. I felt guilty that that my dad

438
00:22:43,720 --> 00:22:45,720
Speaker 1: was able to afford like an s A T tuotor

439
00:22:45,800 --> 00:22:47,520
Speaker 1: for me, Like, I felt that was you know, that

440
00:22:47,720 --> 00:22:50,000
Speaker 1: that was exposing the privilege that I had, and I

441
00:22:50,080 --> 00:22:51,639
Speaker 1: felt that that was, you know, at the expense of

442
00:22:51,720 --> 00:22:55,200
Speaker 1: of people who, you know, who couldn't and are primed

443
00:22:55,280 --> 00:22:57,520
Speaker 1: to enter that environment of taking. It turned out my

444
00:22:57,560 --> 00:23:00,320
Speaker 1: dad was just being a cheap skate. It it's like

445
00:23:00,880 --> 00:23:05,840
Speaker 1: right for someone else for me, he explored his options. Yeah,

446
00:23:05,880 --> 00:23:11,160
Speaker 1: he's like, kh al right, guys, let's take a quick

447
00:23:11,200 --> 00:23:24,560
Speaker 1: break and we'll be right back. And we're back, and

448
00:23:25,640 --> 00:23:28,520
Speaker 1: just a general check in with the state of mind

449
00:23:28,600 --> 00:23:33,560
Speaker 1: of the president of these United States. You know, after

450
00:23:33,760 --> 00:23:38,040
Speaker 1: having a bad week last week. Over the weekend, the

451
00:23:38,200 --> 00:23:41,600
Speaker 1: President went on Twitter to let his base know who

452
00:23:41,720 --> 00:23:45,560
Speaker 1: the real villains are and see if you can tell

453
00:23:45,640 --> 00:23:48,679
Speaker 1: me if these people have anything in common John Legend,

454
00:23:49,119 --> 00:23:54,080
Speaker 1: Lester Holt, Van Jones, and John Legends filthy mouthed wife

455
00:23:54,760 --> 00:24:00,480
Speaker 1: who didn't mention by name. Um, they are not whitey yeah,

456
00:24:01,400 --> 00:24:05,119
Speaker 1: ding ding ding. He got mad at an MSNBC story

457
00:24:05,600 --> 00:24:10,800
Speaker 1: that didn't give him enough credit for being Rocky basically

458
00:24:11,280 --> 00:24:13,320
Speaker 1: prison or not just a story like an hour long

459
00:24:13,359 --> 00:24:17,479
Speaker 1: special on a Sunday night. Lester whole like went to prison? Right?

460
00:24:17,560 --> 00:24:20,119
Speaker 1: Was the whole thing? Yeah? I think John Legends. The

461
00:24:20,240 --> 00:24:22,840
Speaker 1: legend thing was that we was pretty good, he said.

462
00:24:22,840 --> 00:24:24,919
Speaker 1: Imagine being the president of the whole country and spending

463
00:24:24,920 --> 00:24:29,720
Speaker 1: your Sunday night hate watching MSNBC hoping somebody, anybody will

464
00:24:29,800 --> 00:24:35,160
Speaker 1: praise you the Melania, please praise this man. He needs you. Um.

465
00:24:35,600 --> 00:24:39,120
Speaker 1: I just like how Chrissy tig In as her name

466
00:24:39,240 --> 00:24:41,960
Speaker 1: is actually said and we were shook to our core. No,

467
00:24:42,080 --> 00:24:45,040
Speaker 1: apparently she just got tired of correcting people. She's like,

468
00:24:45,080 --> 00:24:47,000
Speaker 1: it's tige In, but like, honestly, I don't care anymore.

469
00:24:47,280 --> 00:24:50,360
Speaker 1: I was like, WHOA, come on, stand up for your name? Uh?

470
00:24:50,640 --> 00:24:52,760
Speaker 1: Was when she called him a pussy ass bitch. That's

471
00:24:52,760 --> 00:24:56,480
Speaker 1: pretty good. So that's how that was her response. Correct, Yeah,

472
00:24:56,560 --> 00:24:59,520
Speaker 1: I guess to all this. I mean, I knew something happened,

473
00:24:59,560 --> 00:25:02,200
Speaker 1: but when I saw the headline Chrissy Tigen to President

474
00:25:02,280 --> 00:25:04,399
Speaker 1: Trump pussy as a bitch, I was like, that's all

475
00:25:04,400 --> 00:25:06,720
Speaker 1: I need to know. Yeah, she, I mean, that was

476
00:25:06,760 --> 00:25:10,720
Speaker 1: her response to him calling her foul mouth and that

477
00:25:10,840 --> 00:25:15,040
Speaker 1: he wouldn't mention her name or at her because presumably

478
00:25:15,320 --> 00:25:20,040
Speaker 1: he saw that follower account saw the amount of love

479
00:25:20,119 --> 00:25:22,359
Speaker 1: that's out there. Oh boy, I thought he would get

480
00:25:22,400 --> 00:25:27,640
Speaker 1: away with beating up on Van Jones. Um. Just man,

481
00:25:28,080 --> 00:25:30,399
Speaker 1: I wish he'd tried to actually show up for a

482
00:25:30,440 --> 00:25:33,080
Speaker 1: smoke show with Chrissy Tiger because I feel like you

483
00:25:33,080 --> 00:25:35,680
Speaker 1: would have his whole skull ripped off on Twitter and

484
00:25:35,840 --> 00:25:38,240
Speaker 1: it would be an l he could never come back from. Yeah,

485
00:25:38,560 --> 00:25:41,080
Speaker 1: it's but that's why he didn't at her, And she

486
00:25:41,200 --> 00:25:43,879
Speaker 1: was even saying in true Twitter, you know, beef style,

487
00:25:43,960 --> 00:25:47,159
Speaker 1: like you couldn't even at me son. Meanwhile, his Alabama

488
00:25:47,359 --> 00:25:51,280
Speaker 1: hurricane funk up has continued to kind of linger. The

489
00:25:51,400 --> 00:25:54,920
Speaker 1: National Weather Service chief came out on Monday in full

490
00:25:55,000 --> 00:26:01,040
Speaker 1: support of the local meteorologists who contradicted the president's you know, dangerous,

491
00:26:01,119 --> 00:26:05,080
Speaker 1: panic inducing tweet, and the President has continued to suggest

492
00:26:05,160 --> 00:26:09,840
Speaker 1: he was right, and apparently the National Weather Service has

493
00:26:10,440 --> 00:26:14,800
Speaker 1: had been applying like pressure downward for people not to

494
00:26:14,920 --> 00:26:19,159
Speaker 1: come out and like say anything about the controversy or

495
00:26:19,720 --> 00:26:23,520
Speaker 1: you know, contradict the president in any way. A source

496
00:26:23,600 --> 00:26:25,840
Speaker 1: who spoke to Gizmoto said, this is the first time

497
00:26:25,920 --> 00:26:29,280
Speaker 1: I've felt pressure from above to not say what truly

498
00:26:29,440 --> 00:26:31,960
Speaker 1: is the forecast. It's hard for me to wrap my

499
00:26:32,040 --> 00:26:34,359
Speaker 1: head around. One of the things we train on is

500
00:26:34,440 --> 00:26:39,440
Speaker 1: to dispel inaccurate rumors, and ultimately that is what was occurring. Ultimately,

501
00:26:39,560 --> 00:26:42,399
Speaker 1: what the Alabama office did is provide a forecast with

502
00:26:42,480 --> 00:26:44,720
Speaker 1: their tweet. That is what they get paid to do.

503
00:26:45,680 --> 00:26:51,359
Speaker 1: And weather has officially entered the Trump zone where this is.

504
00:26:51,480 --> 00:26:55,520
Speaker 1: But the Chief Scientists of the National Oceanic Atmospheric Administration

505
00:26:55,640 --> 00:26:57,480
Speaker 1: came out. I was like, I'm going to actually investigate

506
00:26:57,560 --> 00:26:59,879
Speaker 1: what the funk happened here because this just smacks of

507
00:27:00,040 --> 00:27:02,520
Speaker 1: a political thing because they had to come out and

508
00:27:02,560 --> 00:27:06,040
Speaker 1: be like, actually, he was right. But then but the

509
00:27:06,119 --> 00:27:09,200
Speaker 1: chief SIGND is like, that's fucking a terrible thing to

510
00:27:09,280 --> 00:27:11,359
Speaker 1: come out and have to say something like that because

511
00:27:11,800 --> 00:27:15,080
Speaker 1: our whole the service we provide is giving people accurate

512
00:27:15,200 --> 00:27:19,240
Speaker 1: information and potentially dangerous situations for people when it comes

513
00:27:19,240 --> 00:27:21,640
Speaker 1: to inclement weather. So it's like to then come out

514
00:27:21,920 --> 00:27:23,720
Speaker 1: and do all this other stuff in service of this

515
00:27:24,080 --> 00:27:26,720
Speaker 1: you know, obsessed president. He was like, it's just a

516
00:27:26,880 --> 00:27:30,040
Speaker 1: danger to public safety. And I mean that's what I

517
00:27:30,080 --> 00:27:31,479
Speaker 1: wanted to say. Also, it's like, I know, it's it's

518
00:27:31,520 --> 00:27:34,320
Speaker 1: easy to make fun of because it's so bizarre. Yeah,

519
00:27:34,320 --> 00:27:36,040
Speaker 1: there sharping all that, but like this is a really

520
00:27:36,160 --> 00:27:39,120
Speaker 1: big step towards a being anti science and anti fact

521
00:27:39,119 --> 00:27:40,959
Speaker 1: and all that. But yeah, just as far as public safety,

522
00:27:41,000 --> 00:27:43,160
Speaker 1: I mean, if there's you know, there's there were people

523
00:27:43,200 --> 00:27:45,720
Speaker 1: in Alabama probably who needed to know should I evacuate

524
00:27:45,800 --> 00:27:47,320
Speaker 1: or not? Should I get my grandmother out of the

525
00:27:47,400 --> 00:27:49,920
Speaker 1: nursing home or not? And he, you know, and because

526
00:27:49,960 --> 00:27:52,240
Speaker 1: of his own ego, we can't get a straight answer

527
00:27:52,320 --> 00:27:53,800
Speaker 1: on all that. I mean, next time, you know, let's

528
00:27:53,800 --> 00:27:56,720
Speaker 1: say this, next time an emergency that isn't predictable and

529
00:27:56,760 --> 00:27:59,000
Speaker 1: we're gonna need reliable facts, and he's gonna say whatever

530
00:27:59,080 --> 00:28:02,120
Speaker 1: is the most convenient for him or safe face. It's

531
00:28:02,200 --> 00:28:05,200
Speaker 1: it's a. It's a real dangerous step, even though it

532
00:28:05,280 --> 00:28:08,560
Speaker 1: also was freaking ridiculous, even though like on paper, you'd

533
00:28:08,560 --> 00:28:10,680
Speaker 1: be like, I'm probably gonna go with whatever the scientists

534
00:28:10,680 --> 00:28:13,200
Speaker 1: are saying versus Trump. The fact that you have two

535
00:28:13,320 --> 00:28:17,160
Speaker 1: competing narratives to somebody who is not as savvy could

536
00:28:17,240 --> 00:28:21,040
Speaker 1: potentially be confused and be like, well, which one do

537
00:28:21,160 --> 00:28:24,159
Speaker 1: I believe? Now? Yeah, And the presidents came first. I

538
00:28:24,200 --> 00:28:27,520
Speaker 1: mean he was like, there, Alabama wasn't in any danger.

539
00:28:27,680 --> 00:28:29,720
Speaker 1: The storm was gonna they knew the storm was gonna

540
00:28:29,720 --> 00:28:33,440
Speaker 1: be too far east to affect Alabama, and he said,

541
00:28:33,680 --> 00:28:38,080
Speaker 1: Alabama is gonna get hit worse than expected. And I

542
00:28:38,200 --> 00:28:39,840
Speaker 1: think of what that means for people there. I mean

543
00:28:39,920 --> 00:28:41,680
Speaker 1: that maybe they leave their job and they'll get paid

544
00:28:41,720 --> 00:28:43,760
Speaker 1: for that day because they've got to go prepare their home,

545
00:28:43,840 --> 00:28:45,080
Speaker 1: or they've got to you know, they've got to go

546
00:28:45,160 --> 00:28:47,000
Speaker 1: buy gas, they've got to go buy supplies. This really

547
00:28:47,000 --> 00:28:50,600
Speaker 1: affects people, uh as you know, and again, think, thank goodness,

548
00:28:50,600 --> 00:28:52,480
Speaker 1: it wasn't the opposite he said. You know, he didn't

549
00:28:52,480 --> 00:28:54,760
Speaker 1: say something wasn't gonna happen, and then you could totally

550
00:28:54,800 --> 00:28:57,280
Speaker 1: see that happening in the exact same way you imagine

551
00:28:57,280 --> 00:28:59,040
Speaker 1: if it was the opposite where where he said, you

552
00:28:59,080 --> 00:29:01,000
Speaker 1: know floor he kept in sisting Florida is not going

553
00:29:01,080 --> 00:29:03,040
Speaker 1: to get hit or Bahamas isn't gonna get hit, and

554
00:29:03,080 --> 00:29:07,360
Speaker 1: then they do. He the tweet that is causing all

555
00:29:07,400 --> 00:29:10,280
Speaker 1: the controversy, not from him, but the one contradicting him,

556
00:29:10,400 --> 00:29:13,840
Speaker 1: was just like, guys, don't wearry. Alabama is safe. Like

557
00:29:14,000 --> 00:29:16,080
Speaker 1: we're not going to get it. It's just like such

558
00:29:16,120 --> 00:29:20,560
Speaker 1: a straightforward thing. It's like, how is this controversial? How

559
00:29:21,080 --> 00:29:23,640
Speaker 1: is this still a thing? I didn't say, I didn't

560
00:29:23,640 --> 00:29:27,520
Speaker 1: say Alabama. How did he not just say sorry about Alabama?

561
00:29:28,440 --> 00:29:31,720
Speaker 1: That it's not Alabama. I saw one theory that that

562
00:29:32,560 --> 00:29:34,880
Speaker 1: he got confused because he read some piece of paper

563
00:29:34,920 --> 00:29:38,720
Speaker 1: that said all Bahamas right. Oh, then that somehow in

564
00:29:38,800 --> 00:29:40,720
Speaker 1: his head that's how we got the idea that Alabama.

565
00:29:41,000 --> 00:29:42,760
Speaker 1: But even then he wouldn't even be able to admit

566
00:29:42,880 --> 00:29:46,400
Speaker 1: that now of course, and it's like, no, you fucking

567
00:29:46,560 --> 00:29:50,320
Speaker 1: pour moron, I mean, they're not poor him. Fuck, there

568
00:29:50,440 --> 00:29:53,720
Speaker 1: is that uh, there is that Samantha b piece that

569
00:29:53,920 --> 00:29:57,320
Speaker 1: is supposed to be a joke about how he can't read. Uh,

570
00:29:57,840 --> 00:30:00,600
Speaker 1: that is wildly convincing. When you look it like all

571
00:30:00,680 --> 00:30:03,440
Speaker 1: the all the different people who have like worked with him,

572
00:30:03,760 --> 00:30:07,200
Speaker 1: and like different depositions where he's like, I don't know

573
00:30:07,320 --> 00:30:09,800
Speaker 1: what you're talking about. I'm not gonna I'm not gonna

574
00:30:09,840 --> 00:30:13,840
Speaker 1: read that sentence, and Pete Davidson saying on SNL he

575
00:30:13,880 --> 00:30:17,760
Speaker 1: couldn't read the cute cards. So, Miles, we have a

576
00:30:17,840 --> 00:30:22,480
Speaker 1: little bit more insight into when the president early what

577
00:30:22,600 --> 00:30:26,040
Speaker 1: seems like decades ago, early in his presidency, kind of

578
00:30:26,360 --> 00:30:31,760
Speaker 1: yuked it up with Russian officials U after the next

579
00:30:31,880 --> 00:30:34,800
Speaker 1: day after firing James, pretty much the next day there

580
00:30:34,920 --> 00:30:38,760
Speaker 1: was that photo of uh, Sergey lav Rov and Sergey

581
00:30:38,880 --> 00:30:43,200
Speaker 1: Kisley act, so the foreign minister and former ambassador respectively,

582
00:30:43,560 --> 00:30:46,400
Speaker 1: We're like in the Oval office fucking yucking it up,

583
00:30:46,440 --> 00:30:48,840
Speaker 1: and people like, what the funk is going on? Right?

584
00:30:49,280 --> 00:30:51,480
Speaker 1: And the story that came out at that time is

585
00:30:51,560 --> 00:30:54,520
Speaker 1: that Trump may have revealed some kind of intelligence gathering

586
00:30:54,600 --> 00:30:58,320
Speaker 1: source because he was sharing information that we had collected

587
00:30:58,360 --> 00:31:01,120
Speaker 1: on like isis in Syria that had come from like

588
00:31:01,200 --> 00:31:04,680
Speaker 1: an Israeli intelligence source or something like that. And at

589
00:31:04,720 --> 00:31:06,120
Speaker 1: the time it was sort of the beginning of like

590
00:31:06,440 --> 00:31:09,240
Speaker 1: what the fuck is this guy doing? Like did he

591
00:31:09,400 --> 00:31:11,640
Speaker 1: literally just have Rush as the Oval Office share some

592
00:31:11,800 --> 00:31:14,600
Speaker 1: kind of like secret intelligence and then just kept it moving.

593
00:31:15,000 --> 00:31:17,040
Speaker 1: And you know, at the time it was just like

594
00:31:17,120 --> 00:31:19,720
Speaker 1: one of the you know, many hundred stories that comes

595
00:31:19,760 --> 00:31:23,120
Speaker 1: out a week about the president. Um. But recently it

596
00:31:23,240 --> 00:31:25,920
Speaker 1: was just sort of it just came out that um,

597
00:31:26,240 --> 00:31:29,680
Speaker 1: they as a result of that exchange, like a lot

598
00:31:29,760 --> 00:31:32,160
Speaker 1: of the intelligence officials in the US got concerned about

599
00:31:32,200 --> 00:31:36,120
Speaker 1: a very deep intelligence asset they had in the Russian

600
00:31:36,200 --> 00:31:39,880
Speaker 1: government and had to extract them, like very quickly because

601
00:31:39,920 --> 00:31:43,320
Speaker 1: they're like, oh fuck, Like even though this specific information

602
00:31:43,440 --> 00:31:45,320
Speaker 1: that was you know, revealed that this meeting didn't have

603
00:31:45,320 --> 00:31:47,360
Speaker 1: anything to do with them, they were like, we don't

604
00:31:47,400 --> 00:31:50,960
Speaker 1: even want them to connect and gentially get them the

605
00:31:51,000 --> 00:31:54,600
Speaker 1: funk out, which is extreme because that's like an extreme remedy.

606
00:31:55,040 --> 00:31:57,320
Speaker 1: Then maybe just summoning them somewhere else, like no, we're

607
00:31:57,360 --> 00:31:59,240
Speaker 1: gonna have to pull this person out to make sure

608
00:31:59,280 --> 00:32:01,920
Speaker 1: nothing terrible happens to them. And that was sort of

609
00:32:02,120 --> 00:32:05,440
Speaker 1: the byproduct of his show and tell party in the

610
00:32:05,520 --> 00:32:09,040
Speaker 1: Oval Office. And it's just sort of like mounting evidence

611
00:32:09,160 --> 00:32:11,320
Speaker 1: or just sort of adding to the narrative that you know,

612
00:32:11,520 --> 00:32:15,280
Speaker 1: the intelligence community has a just deep distrust for him.

613
00:32:15,760 --> 00:32:17,880
Speaker 1: Uh not even that, like when he's sharing like you know,

614
00:32:18,520 --> 00:32:21,200
Speaker 1: missile launched photos, like they're just like, you know, cool

615
00:32:21,280 --> 00:32:22,920
Speaker 1: dm s to share with It kind of weird because

616
00:32:22,920 --> 00:32:24,720
Speaker 1: in a way we kind of need this sort of

617
00:32:24,840 --> 00:32:27,920
Speaker 1: deep state. It happened to happen, but I think it's

618
00:32:28,000 --> 00:32:30,479
Speaker 1: it's it's happening in you know, because of him, rather

619
00:32:30,560 --> 00:32:32,840
Speaker 1: than you know, as a I don't know what I'm

620
00:32:32,840 --> 00:32:34,240
Speaker 1: trying to say. No, I'm trying to I'm trying to

621
00:32:34,280 --> 00:32:36,160
Speaker 1: say that, you know, the conspiracy about the deep state

622
00:32:36,440 --> 00:32:38,360
Speaker 1: was that was that you know, he was part of it,

623
00:32:38,760 --> 00:32:41,600
Speaker 1: and that it was, but really it's becoming an off shoot.

624
00:32:41,640 --> 00:32:45,240
Speaker 1: It's becoming necessary to create one because he's so out

625
00:32:45,240 --> 00:32:49,120
Speaker 1: of control and he's irresponsible with any information and then yeah,

626
00:32:49,240 --> 00:32:51,240
Speaker 1: his temperament then too. On top of it. It's like,

627
00:32:51,320 --> 00:32:54,400
Speaker 1: you don't know how close we are to some disastrous

628
00:32:54,440 --> 00:32:57,040
Speaker 1: dismiss It's so weird though that that that now you know,

629
00:32:57,120 --> 00:32:59,200
Speaker 1: people on the left or like, oh thank god, there's

630
00:32:59,320 --> 00:33:04,320
Speaker 1: rogue to protect us from the present. And the fact

631
00:33:04,400 --> 00:33:07,320
Speaker 1: that James Comy was lionized by the left for a

632
00:33:07,360 --> 00:33:10,720
Speaker 1: little while, it was pretty wild based on everything else.

633
00:33:10,960 --> 00:33:13,680
Speaker 1: Literally everything else that he's ever done, other than be

634
00:33:13,800 --> 00:33:16,000
Speaker 1: fired by Trump and have a feud with him. But

635
00:33:16,080 --> 00:33:18,280
Speaker 1: that was the logic Jared Kushner thought was going to

636
00:33:18,360 --> 00:33:20,560
Speaker 1: be good. He's like, yeah, fire him and then the

637
00:33:20,680 --> 00:33:24,959
Speaker 1: Democrats will like you. He's like, dude, what, Yeah, Okay,

638
00:33:25,440 --> 00:33:27,960
Speaker 1: let's talk about the ship show at the fun Factory month.

639
00:33:28,240 --> 00:33:30,680
Speaker 1: Shout out to Succession, Shout out to success I started

640
00:33:30,720 --> 00:33:34,440
Speaker 1: watching the show. The Atlantic has a new report on

641
00:33:35,000 --> 00:33:39,680
Speaker 1: a sort of mini Cold War that's brewing between Ivanka

642
00:33:40,080 --> 00:33:43,960
Speaker 1: and her brother, Donald Jr. Yeah. It's um, it's a

643
00:33:44,120 --> 00:33:50,640
Speaker 1: fucking wild read. Um. It has so much interesting background.

644
00:33:50,800 --> 00:33:52,920
Speaker 1: It's just it's you know, over the course of many

645
00:33:53,040 --> 00:33:55,960
Speaker 1: interviews with aids and friends and people around it, they

646
00:33:56,000 --> 00:33:59,480
Speaker 1: were sort of kind of understanding this. Their relationship between

647
00:33:59,480 --> 00:34:02,200
Speaker 1: Don Junior his sister was evolving in a becoming more

648
00:34:02,280 --> 00:34:05,959
Speaker 1: and more adversarial as time goes on. Um. And because

649
00:34:06,080 --> 00:34:09,600
Speaker 1: now since he's become president, Trump is now president, the

650
00:34:09,760 --> 00:34:12,919
Speaker 1: two kids are like really desperate to impress their father

651
00:34:13,000 --> 00:34:15,600
Speaker 1: in any way possible. Um. But it seems like there's

652
00:34:15,600 --> 00:34:18,960
Speaker 1: sort of two games happening. There's one with Ivanka and Jared.

653
00:34:19,320 --> 00:34:21,879
Speaker 1: They're doing it they're playing a more like inside game

654
00:34:21,960 --> 00:34:23,800
Speaker 1: where they want to just get as much influence in

655
00:34:23,840 --> 00:34:26,600
Speaker 1: the city and in the administration as possible and from

656
00:34:26,640 --> 00:34:29,080
Speaker 1: their cement to place for their future if they choose

657
00:34:29,160 --> 00:34:31,839
Speaker 1: to move on to a political hustle, if you will.

658
00:34:32,200 --> 00:34:36,080
Speaker 1: And then Don Jr. Just wants Daddy's affection. So it's

659
00:34:36,080 --> 00:34:38,719
Speaker 1: happening in two different ways, but there at the end

660
00:34:38,719 --> 00:34:40,600
Speaker 1: of the day, they both want their fathers of the

661
00:34:40,880 --> 00:34:45,319
Speaker 1: approval um. So the the backdrop that it's all set

662
00:34:45,640 --> 00:34:49,640
Speaker 1: up against is really interesting. Apparently this is um, like

663
00:34:49,840 --> 00:34:52,040
Speaker 1: you know, through these interviews and books and other things,

664
00:34:52,080 --> 00:34:57,879
Speaker 1: they said, uh that essentially Donald Senior cultivated a Darwinian

665
00:34:58,000 --> 00:35:00,400
Speaker 1: dynamic in the family. On Skee tra ups when they

666
00:35:00,440 --> 00:35:02,440
Speaker 1: raced down the mountain, Trump with jab at his children

667
00:35:02,480 --> 00:35:04,920
Speaker 1: with a poll to get ahead of them. His favorite

668
00:35:04,960 --> 00:35:09,040
Speaker 1: fatherly maxim was don't trust anyone, and he liked to

669
00:35:09,080 --> 00:35:12,319
Speaker 1: test his children by asking whether they trusted him. If

670
00:35:12,400 --> 00:35:16,560
Speaker 1: they said yes, they were reprimanded. The weirdest part is

671
00:35:16,600 --> 00:35:19,279
Speaker 1: that none of that seems out of character, and it's

672
00:35:19,320 --> 00:35:21,560
Speaker 1: starting to make sense, right because you're like, oh, of course,

673
00:35:22,040 --> 00:35:24,680
Speaker 1: like if that's what's being put through your head, you'll

674
00:35:24,760 --> 00:35:28,200
Speaker 1: never trust anyone or feel for anyone because everyone is

675
00:35:28,239 --> 00:35:30,200
Speaker 1: out to get you. Right. If everyone's out to get you,

676
00:35:30,280 --> 00:35:32,520
Speaker 1: you should you can never feel bad for anyone. Um.

677
00:35:33,040 --> 00:35:35,879
Speaker 1: And then from there like it got worse. Apparently, when

678
00:35:36,160 --> 00:35:39,840
Speaker 1: Ivanna Trump and Donald split and he left Ivanna for

679
00:35:39,920 --> 00:35:43,239
Speaker 1: Marlin Maples, they both hated their father for basically what

680
00:35:43,440 --> 00:35:45,120
Speaker 1: he had done to their mother and how he treated

681
00:35:45,120 --> 00:35:46,920
Speaker 1: her and how he handled the whole thing. But the

682
00:35:47,040 --> 00:35:50,680
Speaker 1: two kids seated on her in public and then leaked

683
00:35:51,120 --> 00:35:54,600
Speaker 1: stories about how he cheated on her to the page

684
00:35:54,640 --> 00:35:57,480
Speaker 1: six exactly in addition to abusing her. You know, and

685
00:35:57,640 --> 00:35:59,640
Speaker 1: I think all of that. But then the kids handled

686
00:35:59,640 --> 00:36:01,960
Speaker 1: at their separate way. Don who was twelve at the time,

687
00:36:02,360 --> 00:36:05,480
Speaker 1: was angry. He said, this is again through these interviews. Quote,

688
00:36:05,480 --> 00:36:07,600
Speaker 1: how can you say you love us? He reportedly spat

689
00:36:07,719 --> 00:36:09,680
Speaker 1: during an argument and refused to talk to him for

690
00:36:09,719 --> 00:36:11,960
Speaker 1: a year. Eight year old Ivanka was afraid of what

691
00:36:12,080 --> 00:36:14,320
Speaker 1: she might lose in the divorce. Blah blah blah. But

692
00:36:14,440 --> 00:36:16,920
Speaker 1: in the years that followed, Don seemed to define himself

693
00:36:17,000 --> 00:36:19,600
Speaker 1: in opposition to his father. Trump loved golf, so Don

694
00:36:19,680 --> 00:36:22,560
Speaker 1: stayed off the links. Trump was a teetotaler, so Don

695
00:36:22,719 --> 00:36:25,200
Speaker 1: drank heavily. People from his frat and calleg said he

696
00:36:25,239 --> 00:36:28,399
Speaker 1: was drinking heavily. He's drinking himself into a really dark place,

697
00:36:28,480 --> 00:36:31,360
Speaker 1: said one former frat brother who were called Don breaking

698
00:36:31,440 --> 00:36:33,880
Speaker 1: down in tears at a party as he talked about

699
00:36:33,920 --> 00:36:36,319
Speaker 1: his father. He hated what his dad did to his mom.

700
00:36:36,600 --> 00:36:38,200
Speaker 1: For a while, he didn't even want people to know

701
00:36:38,400 --> 00:36:40,600
Speaker 1: his last name. And then Ivonka on the other side,

702
00:36:40,880 --> 00:36:44,160
Speaker 1: got closer during that period and visited him every day

703
00:36:44,200 --> 00:36:46,200
Speaker 1: after school. So she just went to the office and

704
00:36:46,440 --> 00:36:48,959
Speaker 1: began to pride herself by saying, like he will, he'll

705
00:36:49,000 --> 00:36:51,719
Speaker 1: always take my call. He'll he'll interrupt a meeting to

706
00:36:51,880 --> 00:36:53,960
Speaker 1: take my call. And so that was sort of the

707
00:36:54,040 --> 00:36:57,960
Speaker 1: backdrop to of them like starting to compete with each other,

708
00:36:58,080 --> 00:37:02,439
Speaker 1: and it just gets fucking wackier and darker as things

709
00:37:02,520 --> 00:37:05,080
Speaker 1: go on. Because there was a I think around last

710
00:37:05,160 --> 00:37:08,680
Speaker 1: year November, there's a McClatchy report about how someone was

711
00:37:08,760 --> 00:37:12,960
Speaker 1: describing how like Don junr wows as Ivanka disappoints was

712
00:37:13,040 --> 00:37:15,520
Speaker 1: the headline. And they began to be like, oh see,

713
00:37:15,520 --> 00:37:17,400
Speaker 1: they're leaking shit about us, and blah blah blah and

714
00:37:17,400 --> 00:37:19,480
Speaker 1: they had a confrontation where he's like, tell your people

715
00:37:19,840 --> 00:37:25,680
Speaker 1: to stop trashing me to the media, Oh, Ivanka, And

716
00:37:25,760 --> 00:37:28,000
Speaker 1: then this whole time they just talk about Eric, who's

717
00:37:28,040 --> 00:37:30,920
Speaker 1: just like and Eric likes to stay out of it.

718
00:37:31,600 --> 00:37:34,040
Speaker 1: Eric likes to play with socks. Essentially, he's just like

719
00:37:34,200 --> 00:37:36,760
Speaker 1: at the you know, at the at the at maral Lago,

720
00:37:36,880 --> 00:37:39,800
Speaker 1: running the organization and just not really knowing what to do.

721
00:37:40,880 --> 00:37:44,040
Speaker 1: I mean, it doesn't based on you know, whenever you

722
00:37:44,200 --> 00:37:48,400
Speaker 1: read kind of insider like deeply reported insider reports of

723
00:37:49,040 --> 00:37:52,640
Speaker 1: what it's like in the White House, you are always

724
00:37:52,719 --> 00:37:58,920
Speaker 1: hearing about how like surprisingly influential Jared and Ivanka are

725
00:37:59,760 --> 00:38:04,359
Speaker 1: by like surprising because they don't have roles, but they're

726
00:38:04,440 --> 00:38:09,239
Speaker 1: just still yeah, i mean like technically an official advisor, right,

727
00:38:09,560 --> 00:38:12,120
Speaker 1: but that gives them the freedom to just kind of

728
00:38:12,280 --> 00:38:15,600
Speaker 1: roam and like going to different places and just you know,

729
00:38:16,000 --> 00:38:21,400
Speaker 1: have their impact felt. It's like having Yeah, they're like

730
00:38:21,880 --> 00:38:25,320
Speaker 1: an extra, having an extra person and on like a

731
00:38:25,440 --> 00:38:28,120
Speaker 1: basketball court and you're just getting to like run around

732
00:38:28,200 --> 00:38:31,000
Speaker 1: and like block anyone because you don't have a Manda guard,

733
00:38:31,120 --> 00:38:33,839
Speaker 1: like you don't have an official position to just get

734
00:38:33,920 --> 00:38:38,799
Speaker 1: to do what you want. Um and Yeah, you don't

735
00:38:38,880 --> 00:38:42,279
Speaker 1: hear much about Don Jr. Other than stories about the

736
00:38:42,320 --> 00:38:44,680
Speaker 1: president being like, my son's a fucking idiot. There was

737
00:38:44,719 --> 00:38:47,600
Speaker 1: another thing in there in the Atlantic article where they're

738
00:38:47,600 --> 00:38:50,160
Speaker 1: talking about how when he was born or when Ivana

739
00:38:50,239 --> 00:38:53,040
Speaker 1: was pregnant with Don Jr. She told She's like, why

740
00:38:53,040 --> 00:38:55,279
Speaker 1: don't we name him Donald? And He's like, what if

741
00:38:55,320 --> 00:38:59,400
Speaker 1: he's a loser? Right, was his first response to that.

742
00:39:00,160 --> 00:39:02,640
Speaker 1: So he's very and that's just you can tell in

743
00:39:02,719 --> 00:39:06,400
Speaker 1: their relationship and also Don Junior's desperation to impress him.

744
00:39:06,400 --> 00:39:09,759
Speaker 1: That's why apparently during the campaign, Ivanka stayed behind the

745
00:39:09,840 --> 00:39:13,520
Speaker 1: scenes because her dad was even like, she's got an image. Yeah,

746
00:39:13,719 --> 00:39:17,480
Speaker 1: she's been, she's been tending to that image is more

747
00:39:17,520 --> 00:39:20,719
Speaker 1: important than this run for the White House and the

748
00:39:21,239 --> 00:39:24,080
Speaker 1: future of the United States. I mean, that's so. Over

749
00:39:24,760 --> 00:39:32,120
Speaker 1: the weekend, Trump's campaign manager uh predicted a multi decade

750
00:39:32,400 --> 00:39:36,319
Speaker 1: Trump dynasty, saying that like, he and his family are

751
00:39:36,360 --> 00:39:40,880
Speaker 1: all amazing people, and uh so, I mean basically that

752
00:39:41,120 --> 00:39:43,080
Speaker 1: is how they're thinking about, how do they how do

753
00:39:43,200 --> 00:39:46,279
Speaker 1: they define the dynasty exactly that just because he was

754
00:39:46,320 --> 00:39:48,399
Speaker 1: president once, now that name is gonna have so much

755
00:39:48,480 --> 00:39:53,480
Speaker 1: Like cashe everybody probably think everyone but Tiffany's just trying

756
00:39:53,480 --> 00:39:56,040
Speaker 1: to be a lawyer. So they do say that Tiffany

757
00:39:56,200 --> 00:39:59,800
Speaker 1: and Baron are lucky because they had a much different

758
00:40:00,040 --> 00:40:04,600
Speaker 1: upbringing than the Eric, don Ju and Ivanka, like where

759
00:40:04,840 --> 00:40:07,800
Speaker 1: he wasn't like making it like creating this toxic family

760
00:40:07,920 --> 00:40:10,920
Speaker 1: environments like what did you stab your brother? Stuff enough,

761
00:40:11,520 --> 00:40:13,239
Speaker 1: that kind of thing where it's I think maybe he

762
00:40:13,280 --> 00:40:16,680
Speaker 1: was just normal neglect, right, it's more like having a grandparent,

763
00:40:16,880 --> 00:40:19,800
Speaker 1: like being a grandparent at this stage for him, he

764
00:40:19,880 --> 00:40:24,520
Speaker 1: doesn't need to be like overly involved. And I you know,

765
00:40:24,719 --> 00:40:28,200
Speaker 1: you know, I hope Baron can end up a decent human.

766
00:40:28,320 --> 00:40:31,000
Speaker 1: But yeah, good luck to you, sir. All Right, we're

767
00:40:31,000 --> 00:40:43,080
Speaker 1: gonna take another quick break. We'll be right back, and

768
00:40:43,239 --> 00:40:48,000
Speaker 1: we're back and Apple having a big week. The Apple

769
00:40:48,080 --> 00:40:51,800
Speaker 1: Card is newly out, the new iPhone is going to

770
00:40:51,920 --> 00:40:57,800
Speaker 1: be revealed this week. And the coolest thing I've seen

771
00:40:58,040 --> 00:41:01,000
Speaker 1: out of those two news items is that you can

772
00:41:01,080 --> 00:41:03,720
Speaker 1: sharpen your Apple card to turn it into a knife

773
00:41:05,360 --> 00:41:09,200
Speaker 1: pretty wit what, Yeah, you can, because it's like titanium

774
00:41:09,320 --> 00:41:12,320
Speaker 1: or whatever some sort of metal that like works. You

775
00:41:12,400 --> 00:41:15,080
Speaker 1: can just sharpen it like pretty easily. It was a

776
00:41:15,200 --> 00:41:18,560
Speaker 1: guy just filing it like on a proper grading wheel,

777
00:41:18,680 --> 00:41:23,640
Speaker 1: or just like he used sam paper, like wet the

778
00:41:23,680 --> 00:41:27,520
Speaker 1: same paper and then just like kind of sharpened it fair.

779
00:41:27,560 --> 00:41:29,360
Speaker 1: You can make a knife out of anything. I've gone

780
00:41:29,360 --> 00:41:33,480
Speaker 1: into these YouTube black holes where there's this, there's this

781
00:41:33,520 --> 00:41:35,239
Speaker 1: guy in Japan will make a knife out of like

782
00:41:35,440 --> 00:41:37,520
Speaker 1: packing tape or out of like cardboard and all that,

783
00:41:37,600 --> 00:41:41,640
Speaker 1: So I'm not terribly surprised. Yeah, prisoners have done amazing things.

784
00:41:41,760 --> 00:41:44,080
Speaker 1: If you ever want to look up like things people

785
00:41:44,120 --> 00:41:46,279
Speaker 1: have been killed with in prison and like that, please

786
00:41:46,360 --> 00:41:50,480
Speaker 1: stop sending your credit cards to prisoners. Yes, it's it's

787
00:41:50,480 --> 00:41:54,120
Speaker 1: pretty cool. That's because it looks dangerous, like it's kind

788
00:41:54,160 --> 00:41:57,160
Speaker 1: of cool. It sounds already like of you know, thin

789
00:41:57,320 --> 00:42:00,400
Speaker 1: blade and now you can be like Steve A. Sigal

790
00:42:00,520 --> 00:42:02,520
Speaker 1: in The Glimmerman. I don't know if you remember that

791
00:42:02,560 --> 00:42:04,640
Speaker 1: scene he cuts a dude's throat with a credit card.

792
00:42:04,719 --> 00:42:06,719
Speaker 1: Does he? Yeah, like these dudes trying to rob him

793
00:42:06,760 --> 00:42:08,200
Speaker 1: and he's like, oh yeah, here's my credit card and

794
00:42:08,480 --> 00:42:11,359
Speaker 1: straight up splits this dude's throat. I don't know why.

795
00:42:11,440 --> 00:42:13,160
Speaker 1: The first thing I thought of was like, that's Steven

796
00:42:13,239 --> 00:42:18,160
Speaker 1: Seagal seen in the Glimmerman. Well, because it's a ridiculous thing.

797
00:42:18,920 --> 00:42:21,480
Speaker 1: But also I'm more Yeah, I'm just more in my head.

798
00:42:21,480 --> 00:42:24,759
Speaker 1: I'm like, why do I remember from the Glimmerman. I'm

799
00:42:24,880 --> 00:42:26,640
Speaker 1: into the credit card and points in Miles games. So

800
00:42:26,719 --> 00:42:28,320
Speaker 1: I have a lot of different credit cards and so this,

801
00:42:28,520 --> 00:42:31,120
Speaker 1: this the heavy metal credit card, has been a thing

802
00:42:31,200 --> 00:42:32,600
Speaker 1: for I don't know the last five years or so.

803
00:42:32,960 --> 00:42:35,759
Speaker 1: I did not understand what the benefit or advantage of

804
00:42:35,800 --> 00:42:38,839
Speaker 1: it is. It's it's so you can feel like doing

805
00:42:38,920 --> 00:42:41,200
Speaker 1: something important. Yeah, the whole reason to have it is

806
00:42:41,280 --> 00:42:44,960
Speaker 1: so that the waiter the shopkeeper says, oh heavy and

807
00:42:45,040 --> 00:42:49,120
Speaker 1: the heavy ball sack there, sir, exactly right, no small

808
00:42:49,200 --> 00:42:54,200
Speaker 1: penis person, please ring up my viagra. If there's something

809
00:42:54,440 --> 00:42:58,240
Speaker 1: like unconscious about the fact that money is all basically

810
00:42:58,320 --> 00:43:01,000
Speaker 1: imaginary numbers in the system now, so we like want

811
00:43:01,080 --> 00:43:04,680
Speaker 1: them to have sansible, but you have there with something tangible.

812
00:43:04,840 --> 00:43:06,759
Speaker 1: Because you get these metal cards, you can't shred them.

813
00:43:06,800 --> 00:43:08,040
Speaker 1: So if it gets if you need to, you know,

814
00:43:08,040 --> 00:43:09,560
Speaker 1: if you close your account, if it gets to or

815
00:43:09,760 --> 00:43:11,480
Speaker 1: you know, you have to change cards or whatnot, you

816
00:43:11,520 --> 00:43:14,279
Speaker 1: have to send it back in. You just turn into

817
00:43:15,280 --> 00:43:18,400
Speaker 1: you know, what to buy. I've not been repurposing them.

818
00:43:18,520 --> 00:43:21,839
Speaker 1: You said you're heavy into the credit card mileage points. Yes,

819
00:43:22,040 --> 00:43:24,200
Speaker 1: I mean, I know you clearly care about miles. But yes,

820
00:43:24,280 --> 00:43:26,040
Speaker 1: do you have you have a system that you use

821
00:43:26,160 --> 00:43:29,080
Speaker 1: for your purchases to optimize your point So I have

822
00:43:29,160 --> 00:43:31,120
Speaker 1: a but I probably have about twenty different credit cards

823
00:43:31,160 --> 00:43:35,560
Speaker 1: or something. Yeah, yes, that because especially when I was

824
00:43:35,640 --> 00:43:37,359
Speaker 1: very heavy into the game. That I mean, that's nothing

825
00:43:37,400 --> 00:43:39,359
Speaker 1: for people who have in the game the game. I'm

826
00:43:39,400 --> 00:43:41,480
Speaker 1: not into the I'm not the my points guy. I

827
00:43:41,520 --> 00:43:43,320
Speaker 1: don't know that. I'm not some points I have written

828
00:43:43,360 --> 00:43:44,960
Speaker 1: for the points guy, but I'm not the points guys.

829
00:43:45,680 --> 00:43:47,240
Speaker 1: But no, there are people who have a whole system

830
00:43:47,320 --> 00:43:49,400
Speaker 1: with a with a you know, a spreadsheet where they

831
00:43:49,480 --> 00:43:51,279
Speaker 1: know that, Okay, if you apply for this card, then

832
00:43:51,320 --> 00:43:53,080
Speaker 1: you maximize it out to this and then eighteen months

833
00:43:53,120 --> 00:43:54,400
Speaker 1: later you can get this one. There are people who

834
00:43:54,480 --> 00:43:57,759
Speaker 1: really do that. I've I've gotten I've gotten a little

835
00:43:57,800 --> 00:44:00,040
Speaker 1: more sane for myself. So I've got my basics that

836
00:44:00,160 --> 00:44:01,640
Speaker 1: you know, I know I've got to get. I gotta

837
00:44:01,640 --> 00:44:03,080
Speaker 1: spend this much on this card in order to get

838
00:44:03,120 --> 00:44:05,000
Speaker 1: my status on this airline, and then the rest of it.

839
00:44:05,120 --> 00:44:06,960
Speaker 1: I'm going to maximize this because this is you know,

840
00:44:07,000 --> 00:44:09,200
Speaker 1: I get this many points for for restaurants, so I

841
00:44:09,239 --> 00:44:11,120
Speaker 1: was always gonna put my restaurant purchases on this one

842
00:44:11,600 --> 00:44:13,480
Speaker 1: and stuff like that. So yeah, I've got I've got.

843
00:44:13,520 --> 00:44:15,600
Speaker 1: I got a little system. And the Apple card has

844
00:44:15,680 --> 00:44:18,839
Speaker 1: no there's no place in it, no points. So what's

845
00:44:18,880 --> 00:44:20,200
Speaker 1: the point. I think you do get I think you

846
00:44:20,239 --> 00:44:22,359
Speaker 1: do get some percentage cash back on there, but it's

847
00:44:22,400 --> 00:44:24,359
Speaker 1: not a not a great value. But I think it's

848
00:44:24,440 --> 00:44:26,759
Speaker 1: for the you know, my friend got one, a friend

849
00:44:26,800 --> 00:44:28,480
Speaker 1: of mine got one when I think you know, it

850
00:44:28,600 --> 00:44:30,239
Speaker 1: was one of the first to get him, and I

851
00:44:30,280 --> 00:44:32,040
Speaker 1: asked him, whine it is, like, because it's look at

852
00:44:32,160 --> 00:44:36,359
Speaker 1: it's right to this. Yeah. Yeah, that's an empty can,

853
00:44:36,440 --> 00:44:38,160
Speaker 1: which is really which is why it's such a brilliant marketing,

854
00:44:38,200 --> 00:44:40,400
Speaker 1: because they're getting people weren't looking necessarily to get a

855
00:44:40,440 --> 00:44:42,320
Speaker 1: new credit card to to get that. A couple of

856
00:44:42,320 --> 00:44:44,080
Speaker 1: weeks ago, when they first started rolling them out, we

857
00:44:44,320 --> 00:44:47,560
Speaker 1: re wrote up about this, like the Apple support page

858
00:44:47,640 --> 00:44:50,720
Speaker 1: just for the credit card because it stains very easily.

859
00:44:50,840 --> 00:44:53,440
Speaker 1: The like don't put it in contact with leather or denim,

860
00:44:53,960 --> 00:44:58,399
Speaker 1: that's like pockets it out in front of me. You're

861
00:44:58,440 --> 00:45:00,040
Speaker 1: surprised that he used it on the first time. It

862
00:45:00,200 --> 00:45:02,880
Speaker 1: scratched right right exactly, And a lot of people were like,

863
00:45:02,960 --> 00:45:06,200
Speaker 1: what the fuck, because again, when it's Apple, you want

864
00:45:06,280 --> 00:45:10,720
Speaker 1: the shiny new thing, but you wouldn't let it scratch.

865
00:45:11,080 --> 00:45:14,120
Speaker 1: I've never seen the Apple where I've never seen one

866
00:45:14,560 --> 00:45:17,520
Speaker 1: credit card that doesn't look like shit or like begins

867
00:45:17,600 --> 00:45:20,719
Speaker 1: to wear down within three times of being swiped. So like,

868
00:45:20,840 --> 00:45:22,800
Speaker 1: I'm surprised they didn't invest more and like being like,

869
00:45:23,120 --> 00:45:26,319
Speaker 1: and it's gonna look fucking sick the whole time. There's

870
00:45:26,360 --> 00:45:29,839
Speaker 1: no are there no numbers on the Apple card. It's

871
00:45:29,840 --> 00:45:34,160
Speaker 1: not like on the rotating or whatever. Isn't it randomized

872
00:45:34,480 --> 00:45:37,360
Speaker 1: that I'm not sure because yeah, you know, it almost

873
00:45:37,360 --> 00:45:39,960
Speaker 1: seems like the way Steve Jobs was like no buttons,

874
00:45:40,200 --> 00:45:45,640
Speaker 1: right right right, They're like no anything that credit cards

875
00:45:45,680 --> 00:45:50,960
Speaker 1: are used for. Yeah, it's it randomizes the like actual

876
00:45:51,080 --> 00:45:53,520
Speaker 1: card number. So that's when you connect you when you

877
00:45:53,560 --> 00:45:54,640
Speaker 1: use it with the app, I think when you use

878
00:45:54,680 --> 00:45:56,120
Speaker 1: it like with you, Yeah, so like that way you'll

879
00:45:56,200 --> 00:45:57,880
Speaker 1: It's just they just want to make it as difficult

880
00:45:57,920 --> 00:46:00,040
Speaker 1: as possible for somebody to take your fucking card. To

881
00:46:00,040 --> 00:46:02,759
Speaker 1: spend a hundred dollars at a gas station and Northridge right.

882
00:46:03,480 --> 00:46:06,120
Speaker 1: As far as the new iPhone, they're working on a

883
00:46:06,280 --> 00:46:09,600
Speaker 1: folding iPhone, an iPhone with a laser guided three D

884
00:46:09,800 --> 00:46:11,800
Speaker 1: time of flight camera. I don't even know what the

885
00:46:11,880 --> 00:46:15,960
Speaker 1: funk that means. Uh, what's in display fingerprint sensor and

886
00:46:16,239 --> 00:46:19,400
Speaker 1: those are all slated for beyond. This one is just

887
00:46:19,440 --> 00:46:23,759
Speaker 1: gonna have a bigger camera. That's basically damn. I've the

888
00:46:23,920 --> 00:46:28,600
Speaker 1: flights whenever used that combination of words was impressive. Time

889
00:46:28,680 --> 00:46:32,880
Speaker 1: of flight, laser guided and in display fingerprint sensor is

890
00:46:33,040 --> 00:46:36,160
Speaker 1: I have been wondering did a time of like to like?

891
00:46:36,400 --> 00:46:39,000
Speaker 1: I have no idea. I've I've been turning that over

892
00:46:39,080 --> 00:46:40,920
Speaker 1: in my mind for a while. I'd like to help

893
00:46:41,000 --> 00:46:42,640
Speaker 1: the focus of the camera. I think that it may

894
00:46:42,680 --> 00:46:46,200
Speaker 1: be used something in motion or whatever. It's time of flight, Okay,

895
00:46:46,320 --> 00:46:48,000
Speaker 1: that makes more sense. Like I thought it was to

896
00:46:48,080 --> 00:46:50,560
Speaker 1: remember your I think I think it's to capture things

897
00:46:50,600 --> 00:46:52,040
Speaker 1: in motion. So like if you if you want to

898
00:46:52,040 --> 00:46:54,719
Speaker 1: get a still photos thing in motion with laser, using

899
00:46:54,719 --> 00:46:56,160
Speaker 1: a laser to'll figure out where the thing is so

900
00:46:56,160 --> 00:46:58,520
Speaker 1: it won't be blurry. I'm guessing it's that yeah, or

901
00:46:58,760 --> 00:47:01,920
Speaker 1: or it's or it's another way of paying for tacos. Yeah, exactly.

902
00:47:02,080 --> 00:47:05,560
Speaker 1: I mean, the camera seems to be the main thing

903
00:47:05,719 --> 00:47:08,680
Speaker 1: that they can keep making better. Everything else seems like

904
00:47:08,800 --> 00:47:11,960
Speaker 1: it's mean. I have an iPhone ten. I don't really

905
00:47:12,040 --> 00:47:15,520
Speaker 1: see anything that means like, oh, ship okay, because before that,

906
00:47:15,640 --> 00:47:19,240
Speaker 1: I had an Apple iPhone like four that was just rotting.

907
00:47:19,719 --> 00:47:21,800
Speaker 1: We started to smell. Okay, I'm not gonna lie. The

908
00:47:21,880 --> 00:47:23,319
Speaker 1: phone started to smell. I don't know why. I don't

909
00:47:23,320 --> 00:47:25,200
Speaker 1: know if you've noticed this. I have a laptop, a

910
00:47:25,239 --> 00:47:28,319
Speaker 1: old Mac laptop that also has started to smell. Oh yeah,

911
00:47:28,360 --> 00:47:29,840
Speaker 1: if you have any answer on that, please let me know.

912
00:47:30,280 --> 00:47:32,640
Speaker 1: But um, yeah, I think even now, I'm like, I

913
00:47:32,640 --> 00:47:34,800
Speaker 1: don't know how much you can really iterate on this

914
00:47:35,000 --> 00:47:39,080
Speaker 1: where we're like, oh, we've okay, now we're yeah. I

915
00:47:39,160 --> 00:47:41,279
Speaker 1: mean the best I think the thing that would be

916
00:47:41,360 --> 00:47:43,759
Speaker 1: great is if they could like double the battery life

917
00:47:43,840 --> 00:47:47,240
Speaker 1: or something. But that nobody has created a better battery

918
00:47:47,440 --> 00:47:51,680
Speaker 1: since the first iPhone, Like it's all basically the same,

919
00:47:51,960 --> 00:47:55,480
Speaker 1: and the battery makes up most of the body of

920
00:47:55,560 --> 00:48:00,800
Speaker 1: your camera, Like that's why the pluses have longer battery

921
00:48:00,880 --> 00:48:03,799
Speaker 1: life because they just have bigger batteries. I mean, yeah,

922
00:48:04,000 --> 00:48:06,520
Speaker 1: it was. Portrait mode is really the the end end

923
00:48:06,719 --> 00:48:09,160
Speaker 1: end of the road for me. Yeah, like after that,

924
00:48:09,320 --> 00:48:11,200
Speaker 1: after seeing one person used portrait mode, was like, oh,

925
00:48:11,239 --> 00:48:14,520
Speaker 1: this will be cool. Four times. Yeah, portrait mode is great.

926
00:48:14,680 --> 00:48:17,479
Speaker 1: That's one of the great innovations. It probably it helps

927
00:48:17,560 --> 00:48:19,480
Speaker 1: I notice for people with kids, they actually have good

928
00:48:19,560 --> 00:48:22,440
Speaker 1: photos of their kids. Yeah. Before on these other ships,

929
00:48:22,800 --> 00:48:25,720
Speaker 1: it was like, cool, there is not a good picture

930
00:48:25,800 --> 00:48:30,160
Speaker 1: of me before the age of like twenty, I don't think. Yeah,

931
00:48:30,600 --> 00:48:37,040
Speaker 1: so yeah, there's like good like like my son has

932
00:48:37,160 --> 00:48:39,400
Speaker 1: like so many good pictures of them. I know, I

933
00:48:39,520 --> 00:48:41,879
Speaker 1: have to look constantly. That's a double edged sword though,

934
00:48:41,920 --> 00:48:44,680
Speaker 1: you know, like everything's all that history is available now

935
00:48:44,800 --> 00:48:47,840
Speaker 1: for these kids and exists forever. Yeah, I mean ship again.

936
00:48:48,360 --> 00:48:50,120
Speaker 1: Most of my most of my pictures of me as

937
00:48:50,120 --> 00:48:58,160
Speaker 1: a kid are just me squinting like we're Polly knits on. Yeah,

938
00:48:58,280 --> 00:49:01,719
Speaker 1: or it's like me with like my pupil heavily dilated

939
00:49:01,880 --> 00:49:04,360
Speaker 1: at a high school football game or something, wearing a

940
00:49:04,520 --> 00:49:11,080
Speaker 1: candy necklace. Came for that. Hey man, look man, when

941
00:49:11,120 --> 00:49:13,920
Speaker 1: you're partying your party. Actually, I was in banned at

942
00:49:14,040 --> 00:49:15,839
Speaker 1: high school football and I was always in the stands,

943
00:49:16,320 --> 00:49:18,799
Speaker 1: but I would drink in the stands. You would drink well,

944
00:49:18,880 --> 00:49:21,640
Speaker 1: do it well. I remember when our our football team

945
00:49:21,680 --> 00:49:23,800
Speaker 1: got really good my senior year, I got real reckless

946
00:49:23,920 --> 00:49:26,120
Speaker 1: and on trips I had a fake I d that

947
00:49:26,200 --> 00:49:27,839
Speaker 1: I made him on myself on photoshop. I was from

948
00:49:27,880 --> 00:49:30,799
Speaker 1: New Jersey and I would buy Bacardi and I would

949
00:49:30,920 --> 00:49:32,920
Speaker 1: I would take a two leader bottle of coke and

950
00:49:33,000 --> 00:49:35,279
Speaker 1: do rum and coax basically, so I would have this

951
00:49:35,360 --> 00:49:38,680
Speaker 1: two leader just lit tank that would pass around the

952
00:49:38,719 --> 00:49:43,040
Speaker 1: back of the bus. It almost got deep shit when

953
00:49:43,080 --> 00:49:44,759
Speaker 1: a security guard tried to stop me for running on

954
00:49:44,800 --> 00:49:47,920
Speaker 1: the field drunk, and they're like, are you drinking? I'm like, no, man,

955
00:49:47,920 --> 00:49:51,840
Speaker 1: I gotta go, and I ran back in the crowd. Wow. Anyway,

956
00:49:52,200 --> 00:49:55,560
Speaker 1: storytime with Miles. Let's talk about impossible meat. There's like

957
00:49:55,719 --> 00:50:00,839
Speaker 1: sort of a an online backlash brewing sort of thing,

958
00:50:01,040 --> 00:50:04,640
Speaker 1: like people are talking about how impossible meat, uh and

959
00:50:04,760 --> 00:50:08,560
Speaker 1: beyond meat has the same calories and fat and more

960
00:50:08,680 --> 00:50:13,360
Speaker 1: salt than real meat and basically treating it like like

961
00:50:13,480 --> 00:50:17,080
Speaker 1: a health food that people are are being fooled by. Yeah,

962
00:50:17,080 --> 00:50:19,359
Speaker 1: I don't know, if I don't necessarily see it as

963
00:50:19,440 --> 00:50:22,000
Speaker 1: like eating that stuff because it's healthier, I do it,

964
00:50:22,040 --> 00:50:24,239
Speaker 1: but it's not as you know, there's not a much

965
00:50:24,239 --> 00:50:26,560
Speaker 1: of an impact on the environment, and I can still

966
00:50:26,640 --> 00:50:30,800
Speaker 1: pretend I'm eating beef. Yeah, And I also just feel

967
00:50:30,920 --> 00:50:34,239
Speaker 1: better afterwards generally than I do if I like, well,

968
00:50:34,280 --> 00:50:37,640
Speaker 1: that's the difference. Also, there's fiber right these vegan patties

969
00:50:37,680 --> 00:50:39,520
Speaker 1: that isn't in real beef, and it's just not as

970
00:50:39,560 --> 00:50:43,759
Speaker 1: hard to digest as meat, So like that's I don't know.

971
00:50:44,120 --> 00:50:47,239
Speaker 1: I also am skeptical of stories, any story that is

972
00:50:47,560 --> 00:50:49,840
Speaker 1: this seems to be making the rounds of like NBC

973
00:50:50,080 --> 00:50:55,320
Speaker 1: News and Fox News and CNBC where it seems like

974
00:50:55,440 --> 00:50:58,200
Speaker 1: it's like a mainstream media story, and I feel like

975
00:50:58,360 --> 00:51:04,880
Speaker 1: those sorts of outlets of long standing relationships with big advertisers,

976
00:51:05,040 --> 00:51:08,280
Speaker 1: and you know that this is these products are obviously

977
00:51:08,400 --> 00:51:12,200
Speaker 1: threatening a established order of things. This is kind of

978
00:51:12,239 --> 00:51:14,960
Speaker 1: what always happens anytime there's a new dietary wonder. You know.

979
00:51:15,040 --> 00:51:18,160
Speaker 1: It's like when when nutros shite first came out, people

980
00:51:18,280 --> 00:51:19,880
Speaker 1: you know, thought, oh, it has no you know, it

981
00:51:20,120 --> 00:51:24,319
Speaker 1: has no health tops with a benefit risks at all,

982
00:51:24,760 --> 00:51:26,680
Speaker 1: and then you know, therefore you can need a thousand

983
00:51:26,800 --> 00:51:29,279
Speaker 1: candies with this and still not realizing that there's the

984
00:51:29,560 --> 00:51:31,320
Speaker 1: you know, there's the calories in the fat and a

985
00:51:31,400 --> 00:51:34,080
Speaker 1: lot of those are like the nutrous suitet thing was

986
00:51:34,440 --> 00:51:39,839
Speaker 1: um like the cancer risk was actually greatly exaggerated. They

987
00:51:39,880 --> 00:51:43,239
Speaker 1: were feeding like what would be to us bucket loads

988
00:51:43,280 --> 00:51:45,440
Speaker 1: of nutri sweet to the rats to give them the

989
00:51:46,040 --> 00:51:53,200
Speaker 1: cancers sacharin No, no, yes, yes, but you know, or

990
00:51:53,239 --> 00:51:56,080
Speaker 1: even like when like when Baked laz came out, everyone thought, oh,

991
00:51:56,160 --> 00:52:01,640
Speaker 1: this is the problem with the alestra ones. Yeah, jectiles

992
00:52:01,680 --> 00:52:06,120
Speaker 1: ship themselves. Yeah, you're like, oh it's new with olean Yeah. Yeah.

993
00:52:06,120 --> 00:52:08,359
Speaker 1: People always overdo it or don't realize that there's still

994
00:52:08,480 --> 00:52:10,160
Speaker 1: other elements in it that you know, depending on what

995
00:52:10,239 --> 00:52:12,120
Speaker 1: your diet is, work and network. But I've I haven't

996
00:52:12,120 --> 00:52:14,680
Speaker 1: tried one yet because I think also to the attack

997
00:52:14,800 --> 00:52:17,040
Speaker 1: is like, well, what's all this processed food? Man? Like,

998
00:52:17,200 --> 00:52:19,480
Speaker 1: now this is a process music, Well, most food is

999
00:52:19,680 --> 00:52:23,680
Speaker 1: processed on some level. It's the additive and bullshit ingredients

1000
00:52:24,000 --> 00:52:26,920
Speaker 1: that like we're sort of conflating with the quote unquote

1001
00:52:26,920 --> 00:52:29,840
Speaker 1: processed foods that are the bad ones, you know, versus

1002
00:52:30,080 --> 00:52:32,280
Speaker 1: you know, anything that has to go through a process

1003
00:52:32,360 --> 00:52:35,640
Speaker 1: to be made right. Um, but yeah, I mean it's

1004
00:52:35,680 --> 00:52:38,360
Speaker 1: like the dairy farmers being like, can't milk and almond.

1005
00:52:38,840 --> 00:52:41,279
Speaker 1: It's like, we'll watch me. Yeah, but they just did

1006
00:52:41,400 --> 00:52:45,120
Speaker 1: motherfucker find a new angle they have. They're paying the

1007
00:52:45,239 --> 00:52:50,840
Speaker 1: best advertising minds in New York millions and millions of

1008
00:52:50,920 --> 00:52:53,839
Speaker 1: dollars every year to come up with like the best

1009
00:52:53,920 --> 00:52:56,960
Speaker 1: way to ship on these products, and that's where you

1010
00:52:57,120 --> 00:53:00,640
Speaker 1: end up getting like, well, this cancer study, people don't

1011
00:53:00,719 --> 00:53:06,400
Speaker 1: trust uh chemically altered like imitation foods. So let's focus

1012
00:53:06,480 --> 00:53:09,319
Speaker 1: on this one cancer study that says if you feed

1013
00:53:09,680 --> 00:53:13,880
Speaker 1: a rat it's weight and nutri suite on a daily basis,

1014
00:53:13,960 --> 00:53:16,319
Speaker 1: it gets canceled. Like what's the beef Council? How are

1015
00:53:16,360 --> 00:53:19,000
Speaker 1: they even advertising right now? Because I remember used to

1016
00:53:19,040 --> 00:53:21,719
Speaker 1: be like beef It's was for dinner. Like it's been

1017
00:53:21,840 --> 00:53:23,960
Speaker 1: quiet for them like in this new era. So I

1018
00:53:24,000 --> 00:53:25,759
Speaker 1: guess what is their strategy just to like sort of

1019
00:53:25,840 --> 00:53:28,200
Speaker 1: behind the scenes just take a shift on these I

1020
00:53:31,600 --> 00:53:34,000
Speaker 1: should say, I have no evidence to say that these

1021
00:53:34,160 --> 00:53:37,520
Speaker 1: NBC stories are like being planted or anything. No, no, no,

1022
00:53:37,719 --> 00:53:40,720
Speaker 1: but I'm saying as but like any industry, you would

1023
00:53:40,760 --> 00:53:43,280
Speaker 1: have a like some kind of marketing plan to shield

1024
00:53:43,320 --> 00:53:45,520
Speaker 1: yourself from this other product that's coming out, whether you

1025
00:53:45,600 --> 00:53:48,960
Speaker 1: do that very underhandedly or just try and do new

1026
00:53:49,239 --> 00:53:52,799
Speaker 1: advertiser or advertising that's like beef, It's how your kid

1027
00:53:52,880 --> 00:53:56,560
Speaker 1: will get smarter some ship. Yeah. Um, but I think,

1028
00:53:56,640 --> 00:54:00,040
Speaker 1: like anything, you've got to investigate what's in it and

1029
00:54:00,239 --> 00:54:01,759
Speaker 1: how that affects you. Know, the way that you eat

1030
00:54:01,800 --> 00:54:03,799
Speaker 1: and what your health is the same. Isn't the same

1031
00:54:03,840 --> 00:54:06,560
Speaker 1: for everybody? Yeah? I would. I would also like to

1032
00:54:06,600 --> 00:54:09,600
Speaker 1: see like a product by product side by side of

1033
00:54:09,760 --> 00:54:13,600
Speaker 1: like what what the health changes are, just because I

1034
00:54:13,920 --> 00:54:15,800
Speaker 1: could also see this being a thing where like a

1035
00:54:15,920 --> 00:54:18,440
Speaker 1: couple of the products are the same, but most of

1036
00:54:18,520 --> 00:54:22,359
Speaker 1: them are actually better for you. But we shall see.

1037
00:54:22,600 --> 00:54:24,320
Speaker 1: Well yeah, I mean we all know taco about is

1038
00:54:24,320 --> 00:54:27,080
Speaker 1: healthy for you. Yes, talk about find a new angle

1039
00:54:27,360 --> 00:54:32,360
Speaker 1: and their ground beef is a quality. Meat is a quality.

1040
00:54:32,440 --> 00:54:36,680
Speaker 1: Meats not a quality. It's some kind of a it's

1041
00:54:36,680 --> 00:54:41,160
Speaker 1: some kind of a organic flesh compound. They've been making

1042
00:54:41,520 --> 00:54:45,279
Speaker 1: fake meat for years. Full on us. That's like a

1043
00:54:45,440 --> 00:54:51,360
Speaker 1: j LENO. Take us read about this. Let's talk about clowns.

1044
00:54:51,880 --> 00:54:55,800
Speaker 1: Scary clowns. Are you calophobic? No, not at all. I

1045
00:54:55,880 --> 00:54:59,560
Speaker 1: don't really have racist. Yeah, I have been. I have

1046
00:54:59,760 --> 00:55:04,120
Speaker 1: been interested in in looking at old TV from the fifties,

1047
00:55:04,320 --> 00:55:10,000
Speaker 1: Like clowns were Breakfast Cereal mascot. They fucking loved him.

1048
00:55:10,280 --> 00:55:13,120
Speaker 1: It seems very strange to me because they they do

1049
00:55:13,239 --> 00:55:17,080
Speaker 1: seem like scary, like inherently not like a thing that

1050
00:55:17,239 --> 00:55:20,680
Speaker 1: children would like. Well, it's someone who has painted themselves

1051
00:55:20,760 --> 00:55:24,880
Speaker 1: to convey an emotion that they might not be experiencing underneath.

1052
00:55:25,800 --> 00:55:29,040
Speaker 1: Implicit they can't be trusted and they're disgusting, but their

1053
00:55:29,160 --> 00:55:31,440
Speaker 1: danger society, and I mean that kind of is the

1054
00:55:31,920 --> 00:55:36,040
Speaker 1: general take is it seems like people are like fun clowns.

1055
00:55:36,080 --> 00:55:39,800
Speaker 1: Clowns are scary, so it's not super surprising, but it

1056
00:55:39,960 --> 00:55:43,360
Speaker 1: is interesting to me that they're still so salient that

1057
00:55:43,840 --> 00:55:48,280
Speaker 1: It chapter two was set the record for the biggest

1058
00:55:48,320 --> 00:55:53,120
Speaker 1: September opening and biggest horror movie opening, outpaced only by

1059
00:55:53,200 --> 00:55:58,040
Speaker 1: IT Chapter one. Uh. And then also the Venice Film

1060
00:55:58,080 --> 00:56:00,680
Speaker 1: Festival gave out its awards at the end to the festival,

1061
00:56:00,920 --> 00:56:04,320
Speaker 1: and the Golden Lion, which has been given to movies

1062
00:56:04,400 --> 00:56:08,560
Speaker 1: like Raschmann, Broke Back Mountain and Roma, went to the

1063
00:56:08,680 --> 00:56:13,960
Speaker 1: Joker movie Joker, which pretty wild. That's pretty big departure

1064
00:56:14,000 --> 00:56:16,359
Speaker 1: for a comic book movie to get the award um

1065
00:56:16,800 --> 00:56:20,000
Speaker 1: even though this is apparently less comic book movie than

1066
00:56:20,080 --> 00:56:25,080
Speaker 1: like Taxi Driver influenced character study, but clowns are still

1067
00:56:25,120 --> 00:56:28,520
Speaker 1: a powerful symbol apparently. I don't know why. Is it

1068
00:56:28,680 --> 00:56:33,399
Speaker 1: because there's like a generation of us who absolutely did

1069
00:56:33,480 --> 00:56:36,560
Speaker 1: not like clowns, Like I feel like baby boomers, Like

1070
00:56:36,640 --> 00:56:39,680
Speaker 1: my dad, I've seen like photos of like his room

1071
00:56:39,760 --> 00:56:42,160
Speaker 1: as a kid, and there was like clowns shit, Like

1072
00:56:42,200 --> 00:56:44,360
Speaker 1: I remember my grandparents as they would have some clowns

1073
00:56:44,440 --> 00:56:46,320
Speaker 1: shipped up, and I'm like, this is like, yeah, no,

1074
00:56:46,440 --> 00:56:50,000
Speaker 1: my grandma collected clowns, right, And then like maybe maybe

1075
00:56:50,040 --> 00:56:52,640
Speaker 1: then our parents weren't so into the clowns, and then

1076
00:56:52,800 --> 00:56:54,920
Speaker 1: now we're like full on, like your clowns are fucked

1077
00:56:55,000 --> 00:56:57,520
Speaker 1: up and weird. Like I don't know if it's is

1078
00:56:57,560 --> 00:56:59,400
Speaker 1: it Is it a the passage of time. Is it

1079
00:56:59,480 --> 00:57:02,440
Speaker 1: just purely because we or or maybe we're introduced to

1080
00:57:02,520 --> 00:57:05,759
Speaker 1: more examples of clowns being like possibly weird with like

1081
00:57:05,880 --> 00:57:09,080
Speaker 1: John Wayne gaycy Art or like the other Ship. Yeah,

1082
00:57:09,560 --> 00:57:14,240
Speaker 1: it does seem like a it's tapping into maybe something

1083
00:57:15,080 --> 00:57:17,520
Speaker 1: like it's just such a break from the past. Like

1084
00:57:17,640 --> 00:57:21,440
Speaker 1: how I inherently respond to the clown versus how like

1085
00:57:22,040 --> 00:57:24,720
Speaker 1: my grandmother collected them and thought they were like cute,

1086
00:57:24,800 --> 00:57:28,080
Speaker 1: like little ceramic clowns. Maybe the minority. I find clowns

1087
00:57:28,160 --> 00:57:31,560
Speaker 1: neither scary nor entertaining. I just send them kind of there,

1088
00:57:31,560 --> 00:57:34,320
Speaker 1: all right. I'm just I'm ambivalent. I don't necessarily like

1089
00:57:34,640 --> 00:57:38,040
Speaker 1: get upset at the clown, but I'm also like, I'm like, okay, fine.

1090
00:57:38,640 --> 00:57:40,800
Speaker 1: Do you know I've known people who are like coloraphobic,

1091
00:57:41,400 --> 00:57:43,880
Speaker 1: and I fucked up around them because I didn't take

1092
00:57:43,920 --> 00:57:48,280
Speaker 1: it seriously. Try because you showed him like a wild

1093
00:57:48,520 --> 00:57:52,400
Speaker 1: montage with clowns cut into it unexpectedly. Uh, And you know,

1094
00:57:52,480 --> 00:57:54,920
Speaker 1: I'm sorry. You gotta jump scared from a did I

1095
00:57:55,000 --> 00:57:57,440
Speaker 1: did from a coworker, and I had to apologize. I

1096
00:57:57,440 --> 00:58:00,400
Speaker 1: didn't realize what had happened. But like, in a way

1097
00:58:00,480 --> 00:58:02,120
Speaker 1: to me, I didn't take it seriously, like yeah, yeah,

1098
00:58:02,120 --> 00:58:05,000
Speaker 1: you're doing that thing where like culturally you hate clowns.

1099
00:58:05,080 --> 00:58:07,120
Speaker 1: And I was like, oh no, you have a full

1100
00:58:07,200 --> 00:58:11,440
Speaker 1: on yeah, take people's phobia seriously. Wah was you know

1101
00:58:12,440 --> 00:58:15,200
Speaker 1: earlier times? No, I I've done that too. I once

1102
00:58:15,720 --> 00:58:17,960
Speaker 1: I had a friend in college who was had a

1103
00:58:18,160 --> 00:58:21,040
Speaker 1: like this role reaction of the word cotton balls, and

1104
00:58:21,840 --> 00:58:24,360
Speaker 1: uh I was like, oh, yeah right and said it

1105
00:58:24,440 --> 00:58:26,560
Speaker 1: like a bunch of times and she was like like

1106
00:58:26,720 --> 00:58:30,080
Speaker 1: really it really fucked her up. Um anyway, we're just

1107
00:58:30,160 --> 00:58:33,640
Speaker 1: called two horrible people now host a podcast. But it's

1108
00:58:33,680 --> 00:58:38,520
Speaker 1: still like, why is the joker the character that has

1109
00:58:38,600 --> 00:58:41,240
Speaker 1: brought out like some of the best performances in film

1110
00:58:41,360 --> 00:58:44,040
Speaker 1: like the It's just interesting to me that like a

1111
00:58:44,240 --> 00:58:49,439
Speaker 1: clown bad guy would be the character that draws these,

1112
00:58:49,960 --> 00:58:53,640
Speaker 1: you know, iconic performances out when that as a cultural

1113
00:58:54,400 --> 00:58:58,840
Speaker 1: u symbol has become sort of irrelevant or maybe it's

1114
00:58:58,880 --> 00:59:01,440
Speaker 1: just been co opted. I don't know. Symbolically, I think

1115
00:59:01,520 --> 00:59:04,080
Speaker 1: it really sums up like the waning influence of like

1116
00:59:04,160 --> 00:59:08,640
Speaker 1: white men in America just in general, to like a

1117
00:59:08,760 --> 00:59:11,480
Speaker 1: clown right, Like most of the time, this character is

1118
00:59:11,520 --> 00:59:14,800
Speaker 1: an impotent man who isn't achieving at the rate of

1119
00:59:14,880 --> 00:59:17,640
Speaker 1: the other men around him, and then puts on a

1120
00:59:17,840 --> 00:59:22,520
Speaker 1: face to obscure that inner failure and the clown right,

1121
00:59:22,680 --> 00:59:24,920
Speaker 1: and then resorts to again. I talked about this all

1122
00:59:24,960 --> 00:59:27,320
Speaker 1: the time. When you are if you feel powerless, the

1123
00:59:27,480 --> 00:59:30,360
Speaker 1: next if you cannot create, then you will destroy, And

1124
00:59:30,480 --> 00:59:33,560
Speaker 1: that's the next way you can feel potent is by saying, well,

1125
00:59:33,600 --> 00:59:35,320
Speaker 1: if I can't build the things I want, I can

1126
00:59:35,440 --> 00:59:38,880
Speaker 1: destroy the things around me with great effectiveness, which is

1127
00:59:38,920 --> 00:59:41,200
Speaker 1: another thing the Joker does. So I don't know, there's

1128
00:59:41,240 --> 00:59:44,200
Speaker 1: like you know, there's there's many layers I think to

1129
00:59:44,360 --> 00:59:46,800
Speaker 1: just sort of like what the Joker could. Yeah, that

1130
00:59:46,880 --> 00:59:51,640
Speaker 1: was pretty that was great analysis. I just think it's

1131
00:59:51,640 --> 00:59:56,520
Speaker 1: because they're cute. I don't know, he's got a red

1132
00:59:56,640 --> 01:00:00,160
Speaker 1: note but also too, but you know, shout, it's the

1133
01:00:00,160 --> 01:00:02,480
Speaker 1: clowns too. I recently saw like a clowning show, like

1134
01:00:02,560 --> 01:00:05,640
Speaker 1: proper French clowning. That's that's that really is an art form.

1135
01:00:05,680 --> 01:00:07,680
Speaker 1: I think if people got in touch with that style

1136
01:00:07,760 --> 01:00:10,720
Speaker 1: of conning, we would maybe we respect our clowns. Baskets

1137
01:00:10,800 --> 01:00:12,880
Speaker 1: was a good show, is it is? It? Actually? Uh

1138
01:00:13,520 --> 01:00:17,960
Speaker 1: funny the French clowning that you saw it because they

1139
01:00:18,000 --> 01:00:20,480
Speaker 1: all have different emotions, so there are ones. It was

1140
01:00:20,520 --> 01:00:24,080
Speaker 1: more impressive to me as performance, like what the what

1141
01:00:24,240 --> 01:00:26,800
Speaker 1: the clowns can symbolize? And you know, the facets of

1142
01:00:26,840 --> 01:00:33,200
Speaker 1: our humanity? Well, ship man, that sounds pretty weird anyway,

1143
01:00:33,240 --> 01:00:36,600
Speaker 1: it's pretty well, you should go man, j k that's

1144
01:00:36,600 --> 01:00:40,800
Speaker 1: been a pleasure having you on the daily Zeitgeist. You

1145
01:00:40,960 --> 01:00:44,560
Speaker 1: had me on your show Try Too long ago. That's right,

1146
01:00:44,640 --> 01:00:46,640
Speaker 1: you were a guest on Go Fact yourself. That episode

1147
01:00:46,680 --> 01:00:49,080
Speaker 1: is available now if just came out. Yeah, it just

1148
01:00:49,120 --> 01:00:51,120
Speaker 1: came out on Friday. So it was a lot of fun.

1149
01:00:51,200 --> 01:00:53,920
Speaker 1: Wherever wherever you get, you can go to go factor

1150
01:00:54,000 --> 01:00:56,000
Speaker 1: pod dot com wherever we get podcasts. It was you

1151
01:00:56,120 --> 01:00:58,000
Speaker 1: versus Jennif Friedman, and I'm not gonna say who won,

1152
01:00:58,080 --> 01:01:02,800
Speaker 1: but your topic was Jaws too, so yes, you then

1153
01:01:02,840 --> 01:01:04,760
Speaker 1: you must have won. I got I got to meet

1154
01:01:05,160 --> 01:01:08,360
Speaker 1: the writer of Jaws too, less importantly also the writer

1155
01:01:08,440 --> 01:01:12,840
Speaker 1: of Jaws, but mainly he is the writer of Jaws Too.

1156
01:01:12,960 --> 01:01:15,760
Speaker 1: That's gonna be on his tombstone. You know that you

1157
01:01:15,800 --> 01:01:17,760
Speaker 1: were going to meet the writer. No, I had no idea.

1158
01:01:17,800 --> 01:01:19,840
Speaker 1: I didn't even know. So I had given Jaws to

1159
01:01:20,600 --> 01:01:25,680
Speaker 1: uh Wuten clan albums like solo albums between thirty six

1160
01:01:25,760 --> 01:01:32,360
Speaker 1: Chambers and ever and uh yeah, and I didn't know

1161
01:01:32,520 --> 01:01:34,920
Speaker 1: which of those it was going to be, right, right,

1162
01:01:35,080 --> 01:01:37,920
Speaker 1: right right? Uh and they they wouldn't tell me. I

1163
01:01:38,280 --> 01:01:41,720
Speaker 1: tried really hard. I showed up at Jakie's house. Uh

1164
01:01:42,200 --> 01:01:44,280
Speaker 1: you know, banging on the door at three and yeah,

1165
01:01:44,600 --> 01:01:46,760
Speaker 1: we were having game night that we couldn't live. Yeah,

1166
01:01:47,360 --> 01:01:52,640
Speaker 1: steal the topic, but yeah, and then I was I

1167
01:01:52,760 --> 01:01:55,760
Speaker 1: was pretty wild and it was awesome. You get some

1168
01:01:55,880 --> 01:02:00,200
Speaker 1: insight into uh questions all of you have always had

1169
01:02:00,200 --> 01:02:04,080
Speaker 1: about Jaws too. Uh so, uh, where where else can

1170
01:02:04,120 --> 01:02:07,960
Speaker 1: people find you? So go factor pod and uh go

1171
01:02:08,040 --> 01:02:09,960
Speaker 1: factor about dot com and then on Twitter and Instagram

1172
01:02:10,000 --> 01:02:11,960
Speaker 1: and all that. It's at go Factor pod. And then

1173
01:02:12,040 --> 01:02:14,400
Speaker 1: I met j Underscore Keith. And I want to say

1174
01:02:14,400 --> 01:02:16,600
Speaker 1: that every time I've been here, I've mentioned a place

1175
01:02:16,640 --> 01:02:19,720
Speaker 1: that I'm going and have ended up meeting thanking people there.

1176
01:02:19,800 --> 01:02:21,920
Speaker 1: So the first time I uh, I met people in Charlotte,

1177
01:02:21,960 --> 01:02:23,440
Speaker 1: which was awesome. And then last time I was here,

1178
01:02:23,520 --> 01:02:25,320
Speaker 1: I mentioned I was going to Sydney. Ended up with

1179
01:02:25,360 --> 01:02:27,080
Speaker 1: a couple of people at a bar in Sydney were

1180
01:02:27,240 --> 01:02:29,640
Speaker 1: really cool. I wish I had I don't have. My

1181
01:02:29,800 --> 01:02:32,960
Speaker 1: next upcoming trip is Brazil, but not until November, so

1182
01:02:33,160 --> 01:02:38,680
Speaker 1: we have time. All the people in South come out. Yes,

1183
01:02:39,680 --> 01:02:41,360
Speaker 1: it was, It's It's really funny. It's nice. You know,

1184
01:02:41,400 --> 01:02:43,120
Speaker 1: I love meeting people when I travel, and I'm often

1185
01:02:43,160 --> 01:02:45,240
Speaker 1: traveling solo, so it's really really cool to do that.

1186
01:02:45,320 --> 01:02:47,040
Speaker 1: And we just did a couple of live shows of

1187
01:02:47,120 --> 01:02:50,080
Speaker 1: Go Factor yourself in Chicago, UM, and one of the

1188
01:02:50,080 --> 01:02:52,480
Speaker 1: people who shot up was wearing I was like a

1189
01:02:52,560 --> 01:02:56,040
Speaker 1: T shirt so than out here. I appreciate it very much.

1190
01:02:56,080 --> 01:02:58,720
Speaker 1: It's always you say when you're here your family. You

1191
01:02:59,000 --> 01:03:02,200
Speaker 1: said that I get some more breads. Moment also hospital

1192
01:03:02,640 --> 01:03:05,640
Speaker 1: that is there is there a tweet you've been enjoying

1193
01:03:05,640 --> 01:03:09,040
Speaker 1: by any chance? I was, well, I love Daniel Dale's tweets, uh,

1194
01:03:09,440 --> 01:03:12,320
Speaker 1: following him fact check the President, and he had one,

1195
01:03:12,720 --> 01:03:15,000
Speaker 1: Uh that was just so again everyone's in a while

1196
01:03:15,120 --> 01:03:17,680
Speaker 1: realize how crazy crazy it is. So okay. So apparently

1197
01:03:17,720 --> 01:03:20,240
Speaker 1: Trump tweeted this thing about Mark Sanford now is going

1198
01:03:20,280 --> 01:03:22,880
Speaker 1: to run in the primary, UM and all that, and

1199
01:03:22,960 --> 01:03:25,960
Speaker 1: he he made a reference to Mark Sanford how he

1200
01:03:26,080 --> 01:03:29,280
Speaker 1: was found in Argentina with his flaming dancer friend. And

1201
01:03:29,320 --> 01:03:31,160
Speaker 1: I was and I couldn't figure out what flaming danser was.

1202
01:03:31,160 --> 01:03:33,960
Speaker 1: And Daniel Dale says, by flaming dancer, the president means

1203
01:03:34,040 --> 01:03:37,560
Speaker 1: flamingo dancer, so it's flamenco. Though there's no evidence the

1204
01:03:37,600 --> 01:03:39,600
Speaker 1: woman in question, a former journalist, has ever been a

1205
01:03:39,640 --> 01:03:43,200
Speaker 1: Flamenco dancer. So I just love how how cold Stone

1206
01:03:43,280 --> 01:03:45,960
Speaker 1: accurate and journalistic he is and yet also pointing out

1207
01:03:45,960 --> 01:03:48,400
Speaker 1: all this absurdity. And he'll point out like just different

1208
01:03:48,440 --> 01:03:50,640
Speaker 1: things that Trump says that indicates this is about to

1209
01:03:50,680 --> 01:03:52,240
Speaker 1: be a lie. This is the thirty six time he

1210
01:03:52,320 --> 01:03:55,320
Speaker 1: said this. So Daniel Dale Is it's at d Dale eight.

1211
01:03:55,800 --> 01:03:57,800
Speaker 1: He was at the Toronto Star. Now he's at the CNN.

1212
01:03:58,040 --> 01:04:00,080
Speaker 1: It's just a great follow just like just so a

1213
01:04:00,200 --> 01:04:02,440
Speaker 1: matter of fact, and also just makes you realize how

1214
01:04:02,520 --> 01:04:04,960
Speaker 1: crazy all this is, and but also makes me feel

1215
01:04:04,960 --> 01:04:08,000
Speaker 1: a little more sane for for somebody fact checking it

1216
01:04:08,240 --> 01:04:10,160
Speaker 1: and realizing, Okay, I'm not crazy for seeing that this

1217
01:04:10,280 --> 01:04:12,919
Speaker 1: is crazy. Yeah, it's always nice to have that voice. Miles.

1218
01:04:12,960 --> 01:04:15,320
Speaker 1: Where can people find you? Um, It's just a funny

1219
01:04:15,400 --> 01:04:19,360
Speaker 1: thing about Mark Sanford. I remember when he was I

1220
01:04:19,560 --> 01:04:22,280
Speaker 1: think when he was having to resign from being governor

1221
01:04:22,320 --> 01:04:23,920
Speaker 1: of South Carolina. There was some a fair thing going

1222
01:04:23,960 --> 01:04:26,000
Speaker 1: on yea where he referred to some I think it

1223
01:04:26,080 --> 01:04:28,280
Speaker 1: was his basement or friends basement he was hiding out

1224
01:04:28,360 --> 01:04:32,120
Speaker 1: in as Jurassic Park, and we'd call it Jurassic Park.

1225
01:04:32,160 --> 01:04:34,240
Speaker 1: It was just like he said it really out of nowhere,

1226
01:04:34,240 --> 01:04:36,000
Speaker 1: and people like, what the funk are you talking about?

1227
01:04:36,360 --> 01:04:38,480
Speaker 1: Like you're talking about you've been laying low from the

1228
01:04:38,520 --> 01:04:42,120
Speaker 1: press because you've been fucking Jurassic Park, which is someone's basement. Anyway.

1229
01:04:42,160 --> 01:04:44,000
Speaker 1: By the way, my my date for to night just canceled.

1230
01:04:44,520 --> 01:04:49,000
Speaker 1: Oh well, then we can go to loose filas. Let's

1231
01:04:49,040 --> 01:04:52,320
Speaker 1: meet up at alcohols. Let's do it. Okay, I don't

1232
01:04:52,360 --> 01:04:55,280
Speaker 1: know what any of that means, where people like I

1233
01:04:55,320 --> 01:04:59,680
Speaker 1: don't know, a great date spot, huge garden, big portions,

1234
01:05:00,560 --> 01:05:03,680
Speaker 1: baker Man, a slice of cake there will set your

1235
01:05:04,320 --> 01:05:07,360
Speaker 1: blood sugar back. A few whatever things you can set

1236
01:05:07,400 --> 01:05:10,439
Speaker 1: your blood sugar back for me, Yes, miles of gray.

1237
01:05:10,520 --> 01:05:13,960
Speaker 1: On Twitter and Instagram, a tweet that I'm liking is

1238
01:05:13,960 --> 01:05:18,080
Speaker 1: from Michael Tannenbaum at I am Tannenbaum. Uh. This says

1239
01:05:18,360 --> 01:05:24,360
Speaker 1: every mind Hunter episode, holding, did you kill her killer? Nope? Holding,

1240
01:05:24,720 --> 01:05:28,080
Speaker 1: we heard your dick game was weak, sauce killer. I

1241
01:05:28,280 --> 01:05:32,000
Speaker 1: killed her in eight her arm for breakfast that dragon.

1242
01:05:32,000 --> 01:05:36,960
Speaker 1: That technique still works. Yeah, Yeah, it's like creation couple tweets.

1243
01:05:36,960 --> 01:05:40,720
Speaker 1: I've been enjoying a big idiot at w w w

1244
01:05:41,160 --> 01:05:46,160
Speaker 1: v v v v www tweeted vibing so hard to imagine.

1245
01:05:46,240 --> 01:05:49,320
Speaker 1: Dragon's radio active. I take a corner going too fast

1246
01:05:49,400 --> 01:05:53,480
Speaker 1: in my cruiser and roll my car instantly killing my

1247
01:05:53,640 --> 01:05:58,960
Speaker 1: wife and children. I don't know why that maybe laugh

1248
01:05:59,040 --> 01:06:05,080
Speaker 1: out because it's so vivid and somehow you don't have

1249
01:06:05,240 --> 01:06:08,800
Speaker 1: empathy for this character. It's like, yeah, you would fucking

1250
01:06:08,960 --> 01:06:12,400
Speaker 1: roll your fucking and also like that's probably happened. Like

1251
01:06:12,680 --> 01:06:15,760
Speaker 1: who We don't know what causes fatal car accidents, Like

1252
01:06:16,360 --> 01:06:20,800
Speaker 1: maybe maybe someone was too hard to read, and maybe

1253
01:06:20,920 --> 01:06:23,480
Speaker 1: like a song that was just too lit like came

1254
01:06:23,520 --> 01:06:27,920
Speaker 1: out the day before and that's why fatal car accident spiked.

1255
01:06:28,720 --> 01:06:32,120
Speaker 1: We don't know, We don't know. Uh, and Aliens Geared tweeted, sorry,

1256
01:06:32,160 --> 01:06:34,440
Speaker 1: I can't go to the party anymore. I was normally

1257
01:06:34,520 --> 01:06:37,840
Speaker 1: optimistic at the time. Uh, and that is how I

1258
01:06:37,920 --> 01:06:40,560
Speaker 1: feel most of the time. Uh. You can find me

1259
01:06:40,880 --> 01:06:43,240
Speaker 1: on Twitter at Jack underscorel Brian. You can find us

1260
01:06:43,320 --> 01:06:46,480
Speaker 1: on Twitter at Daily Zeitgeist for at the Daily Zeitgeist

1261
01:06:46,560 --> 01:06:48,520
Speaker 1: on Instagram. We have a Facebook fan page on a

1262
01:06:48,560 --> 01:06:52,240
Speaker 1: website daily zi dot com. We post our episodes and

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Speaker 1: our no no where we link off to the information

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Speaker 1: that we talked about in Today's episode, as well as

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Speaker 1: the song we ride out on What's that Gonna be Today?

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01:07:01,160 --> 01:07:03,400
Speaker 1: The track We're gonna write out on us from j

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Speaker 1: Rob J dot R O B B. It's called Dance

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Speaker 1: with Me One Word. I don't know if this is

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Speaker 1: on other platforms. It's on SoundCloud because this is you know,

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Speaker 1: more sort of delay of you know, sample based I

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Speaker 1: pod beat um just to kind of like it's Tuesday.

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Speaker 1: You know, we're just warming up, so just let's loosen

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Speaker 1: our necks and our backs on our shoulders with some

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Speaker 1: head nod music, some headphone music and then you know

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Speaker 1: we'll start to turn it up as a days on alright.

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Speaker 1: The Daily Zutgeis is a productor by heart Radio for

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Speaker 1: more podcasts for my heart Radio, the i Heart Radio app,

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Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

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Speaker 1: That's gonna do it for today. We will be back

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Speaker 1: tomorrow because it is a daily podcast and we'll talk

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Speaker 1: to them. Okay, okay, gave me bas and happy girls

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Speaker 1: in your cotta come. You can meet me in the

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Speaker 1: middle of the Ross and the stick, sell the aster,

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Speaker 1: the left, sail to the right some winter want to

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Speaker 1: pu your la