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Speaker 1: Hello the Internet, and welcome to season one, seventeen, episode

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Speaker 1: one of Jo Daly's eight geist production of I 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 the Koch Brothers and fun Fox News them. It's Tuesday, January.

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Speaker 1: My name's Jack O'Brien, a k banging on a trash can,

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Speaker 1: drumming on the street light, playing on my band Joe

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Speaker 1: Brian uh courtesy Hannah Saultis, and I'm thrilled to be

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Speaker 1: joined as always by my co host Mr Miles. Right

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Speaker 1: side gang will be to gather and then I wish

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Speaker 1: the Supreme are back and get all that. But that

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Speaker 1: was freems and SPARTI kave from our man in the street.

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Speaker 1: Christ Christie Yamaguchi main or now Caitlin Bennett ships herself

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Speaker 1: and hates guns is the newest play name for Christy

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Speaker 1: Meme donnut. What does that mean? Caitlyn Bennett is the

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Speaker 1: Kent State gun girl? Oh hell yeah? It was like,

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Speaker 1: who has a website where she writes about herself in

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Speaker 1: third person? Oh words, and she's like, Caitlyn, it's really

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Speaker 1: doing great cause for all Patriots, and I thought you're

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Speaker 1: gonna say she has a website where she does pop stuff. Um, well,

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

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Speaker 1: at one of the very faces with mountains More. She

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Speaker 1: is the hilarious and talented Lacy mostly happening. You love

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Speaker 1: the Hollywood as right now, Okay, don't do what you

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Speaker 1: gotta do. I don't think I've ever worked on glass.

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Speaker 1: I hope, though, next time I see you do have

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Speaker 1: them off, because if you were him again, I'm like, no,

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Speaker 1: that was the day Lacey. She's like, I'm tired. And

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Speaker 1: then you're like, oh, I can't look at you. You

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Speaker 1: will never see my eyes. I'm gonna start being like her.

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Speaker 1: How have you been laying? It's been going really well. Yeah,

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Speaker 1: except for like this morning, it's been really tight. Yeah. Yeah,

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Speaker 1: we're recording this earlier than No, that's not why. That's

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Speaker 1: not why. It's just my ass. It's all good though.

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Speaker 1: And I see you. You're in the gym. Yeah, every

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Speaker 1: day your new addresses the gym. It is there. It's

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Speaker 1: uh And I feel like it's very annoying to put

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Speaker 1: the gym on Instagram every day. But if I have

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Speaker 1: to be there. You have to look at it. You're

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Speaker 1: putting in the work, and I keep it interesting. I

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Speaker 1: actually I thank you because I'm like, by like association,

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Speaker 1: I feel like I am at the gym too, so

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Speaker 1: I don't go looking I got that workout in. Yeah,

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Speaker 1: I'm like, as long as she's sweating, basically been to

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Speaker 1: the gym. Uh saw someone working out. All right, Lacey,

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

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Speaker 1: better in a moment. First, we are going to take

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Speaker 1: our listeners through a couple of things we're talking about.

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Speaker 1: We're gonna check in with our favorite moms. Yes, I

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Speaker 1: like them better than even our moms. You know, the

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Speaker 1: best one million moms. I mean, how can you argue

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Speaker 1: with numbers like that. Uh, they're back in the news

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Speaker 1: protesting dumb ship. Uh the worst. We're gonna check in

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Speaker 1: with Kelly and Conway. Her defense of the President at

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Speaker 1: the end of last week was spirited, impressive. I mean

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Speaker 1: it was. It's one of those things. She was like

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Speaker 1: the human embodiment of somebody who didn't read the book,

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Speaker 1: where you got to ask a question and you just

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Speaker 1: you're like, yeah, that's an interesting question. I'm going to

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Speaker 1: just start saying many other things and not actually that

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Speaker 1: I've read anything, so words are definitely coming out of

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Speaker 1: my mouth, and therefore it seems like I'm answering yes

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Speaker 1: or no question. The thing about a lie is right

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Speaker 1: or is it lay huh? Lay down or lie down?

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Speaker 1: We gotta look at who the president's lawyers might be,

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Speaker 1: his defense team, who they are, be who they are,

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Speaker 1: but yeah, them things could change them. Yeah, they got

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Speaker 1: the meats, especially this gang of weirdo. I mean this

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Speaker 1: is an absolute just like you couldn't. You couldn't pick

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Speaker 1: a team that was more like, yeah, I'm guilty as fun. Yeah,

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Speaker 1: and also like that Trump just picked them too, like

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Speaker 1: when they're like you might want like people who are

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Speaker 1: not fucking let him. Yeah, well we'll talk about it,

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Speaker 1: but there's almost no chance that he didn't. He hasn't

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Speaker 1: at least asked for one fictional character, uh because it's

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Speaker 1: so bad. Lawyer Yeah, yeah, that luck was a lawyer.

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Speaker 1: Who else the guy from Night Court like John Larry

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Speaker 1: in A Night to Kill? Yeah, he had to kill.

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Speaker 1: He was very sweaty. Yeah. Uh, we're gonna check him

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Speaker 1: with Boeing. That document dump was pretty pretty revealing of

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Speaker 1: what their corporate culture isn't just how guilty? That's awful. Yeah,

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Speaker 1: I thought it was a joke. Somebody first brought this article.

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Speaker 1: I thought I didn't think people were talking this dumb

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Speaker 1: when so many lives are at stake. Was speaking of

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Speaker 1: things Anna brought to our chat thread. Did you know?

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Speaker 1: I just I just we're not even going to talk

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Speaker 1: about it. But as we're going through stories of the

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Speaker 1: CNN article that was just last week, Yeah, that was

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Speaker 1: like why we shouldn't stop talking about the Bernie Elizabeth

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Speaker 1: Warren Dude, it was just like so transparent, why we shouldn't. Uh,

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Speaker 1: we're gonna talk about NBC's new streaming platform, Peacock. People

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Speaker 1: are suddenly talking about that. We're going to decide if

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Speaker 1: we give a ship. Uh, Warner Brothers is using robots

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Speaker 1: decide what movies get made. We're gonna look at the

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Speaker 1: movies that are coming out in and uh what they

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Speaker 1: will have any impact on the election. I hope so

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Speaker 1: all of that plenty more. But first, Lacy, we like

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

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Speaker 1: that is revealing about who you are? Okay, it's definitely Um,

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Speaker 1: I've been searching sleeping and sleep patterns and like adults

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Speaker 1: and how much sleep you need? Right now, I was

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Speaker 1: gonna I've never been on a sleep schedule. I'm like

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Speaker 1: really trash about sleep. Like I fall asleep in front

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Speaker 1: of the TV, um and oh, you just go till

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Speaker 1: the battery goes to zero and then I go to

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Speaker 1: my TV. Like I wake up and my TV is

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Speaker 1: like on sleep mode where it's like you haven't been

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Speaker 1: watching this for like it's been watching me. It's literally

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Speaker 1: it's so bad, Like I love TV so much and

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Speaker 1: I don't like just going to sleep in the fucking dark.

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Speaker 1: That ship like it makes me like it's dark at

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Speaker 1: my house except for the TV and I can't turn

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Speaker 1: that shut off. I'm like a dig Yeah you need

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Speaker 1: that warming glow. Yes, I'll be honestly to the goat

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Speaker 1: and girls, I'll be waking like thank you for being

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Speaker 1: a friend. Why that's happening? And now I'm starting to

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Speaker 1: get to a point as an adult where I'm like,

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Speaker 1: I can't continue to do this. So does it take

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Speaker 1: your keep your attention and then keeps you up longer

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Speaker 1: because the TV is sometimes you know the girls they

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Speaker 1: know what I mean. The next thing I know, Rose

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Speaker 1: got into some Shenanigans and four thirty in the morning

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Speaker 1: and that was my night last night. For no fucking reason.

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Speaker 1: Have you. I feel like if this were a TV show,

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Speaker 1: you would then dream that you were a Golden Girl.

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Speaker 1: That's the episode where is one of the new Golden Girls.

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Speaker 1: Always have like weird ancillary dreams, like I'm selling China

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Speaker 1: on the freeway and I'm like, why where did this

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Speaker 1: come from? This wasn't the respect which freeway? Which freeway?

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Speaker 1: I don't feel like that's lucrative. Yeah, I dream like

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Speaker 1: I got to I wish I had better business ideas

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Speaker 1: almost like aren't they going too fast for you to

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Speaker 1: make a sound? Yeah? Yeah, that's something you need with people.

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Speaker 1: It's not like selling oranges sale Today. I feel like

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Speaker 1: a lot of people are going through the same physical maladies,

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Speaker 1: Like a lot of people I got sick earlier this week. Uh,

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Speaker 1: and I just even just listening to podcasts, but like

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Speaker 1: talking to people, everyone like has somebody who's sick or

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Speaker 1: And then I was like, when I got better, I

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Speaker 1: started like having insomnia. I feel like a lot of

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Speaker 1: people are going through the same ship I was having

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Speaker 1: so much to like get back into health, right, are

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Speaker 1: you resting a lot or no, no, it was it

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Speaker 1: was weird. I think, yeah, maybe that was it, or

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Speaker 1: maybe it was like just getting back into things and

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Speaker 1: like being stressed out about like all the ship that

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Speaker 1: I still had to do or something. Oh yeah, that'll

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Speaker 1: keep you away. In my googles, they said stress anxiety,

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Speaker 1: which I was like, Oh, I definitely have anxiety. I've

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Speaker 1: been waking up like you know in the movies they

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Speaker 1: wake up in the coast. Went like, oh, yeah, I

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Speaker 1: used to wake up every day like that from I'm

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Speaker 1: not even playing, like sitting directly up. Yeah. So I

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Speaker 1: was like, damn, I don't to fix what's going on

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Speaker 1: in my life. Well, I have the same thing where

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Speaker 1: I was waking up like on the dot like at

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Speaker 1: four or fifteen, and I was just like tossing and

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Speaker 1: turn and could not go back to sleep. And a

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Speaker 1: lot of it is like in your mind, you either

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Speaker 1: do the thing where you start replaying shipped from the

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Speaker 1: day before and you're like, what the fund did I do? Then? Yes?

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Speaker 1: That or the or you're like, oh, shoot, I got

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Speaker 1: all this other ship I'm about to have to do.

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Speaker 1: And I think one of the biggest things that I

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Speaker 1: had to take up was like, actually like meditating a

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Speaker 1: little bit, like being more mindful, because the more you

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Speaker 1: identify with your anxiety and ship and can't just be

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Speaker 1: like that is happening, but that is not me right now,

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Speaker 1: that's just my my like motivation mechanism going off. Then

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Speaker 1: I was able to sleep a little bit better. You

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Speaker 1: just try meditation. I have now mindful because mindfulness really

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Speaker 1: helps for insomnia. I started really because adult Swim was

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Speaker 1: watching me, and then the calm app has like a

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Speaker 1: fifteen second thing they do. It's like close your eyes

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Speaker 1: and it's just like rain sounds, and I was like, oh,

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Speaker 1: this is not or you should try. There's a really

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Speaker 1: good meditation podcast I'll listen to by Tara Brock t

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Speaker 1: A R A B R A c H. And if

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Speaker 1: you search Tara Brock like anxiety Sleep on Spotify, there's

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Speaker 1: she's like a six minute, twelve minute an eighteen minute

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Speaker 1: version that you listen to and it's just like breathing

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Speaker 1: and like getting mindful and like just helps you like

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Speaker 1: ease into She also selling oh no, no, she's like

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Speaker 1: she's like a like a therapist who's just sort of

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Speaker 1: like I didn't know about podcast until my assistant made

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Speaker 1: me do this or just put us on like slightly

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Speaker 1: slowed down mode. Yeah, yeah, and we become But it's

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Speaker 1: like easy. I realized just from like breathing slowly as

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Speaker 1: I get ready first, like and intentionally being like, okay,

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Speaker 1: breathing for five seconds, breathe out for five seconds, and

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Speaker 1: focus on that half the way through. We just incorporate

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Speaker 1: that into the daily I have a part at the end,

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Speaker 1: just unwined. I feel like maybecast like in the morning,

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Speaker 1: are on their commute though, Yeah, what is something? You

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Speaker 1: think it's overrated? Something that I think is overrated? Honestly,

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Speaker 1: the Democratic primaries overrated. Yes, I'm so tired of this

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Speaker 1: fake drama, this Bernie Warren ship. Like, look, we all

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Speaker 1: know the deal. Nobody's excited about, none of you motherfuckers

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Speaker 1: except for the Bernie Heads, which we tired, y'all. And

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Speaker 1: we've been tired, y'all. We're gonna go into the booth,

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Speaker 1: we're gonna vote, and then whoever comes out on the

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Speaker 1: other side, guess what, we're throwing flash mobs for you

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Speaker 1: for you. You don't you don't like the factioning off

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Speaker 1: of everyone. You're like, let's just get to the point

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Speaker 1: where we gotta go and vote this other motherfucker out.

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Speaker 1: It just seems like the time for that has passed.

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Speaker 1: Like I feel like we should have been doing that

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Speaker 1: ship earlier and now, like, but we weren't because we

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Speaker 1: had so many candidates. So at first it was just like, oh,

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Speaker 1: we have fifteen people on the stage. I don't know why.

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Speaker 1: And now it's like there's less people and obviously we

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Speaker 1: have front runners, but now there's like all these you know,

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Speaker 1: people just trying to drum up, you know, like if

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Speaker 1: Elizabeth Warren and Bernie Sanders have a disagreement they're debating,

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Speaker 1: they're on a stage, it's not a big deal. They've

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Speaker 1: known each other for years, Like, we don't need to

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Speaker 1: hype it up, Like I don't need the news. I'm

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Speaker 1: tired of the news trying to be fun, right, especially

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Speaker 1: CNN trying to make a scene acts like they're run

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Speaker 1: by bossup now, I don't know if Boss was like

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Speaker 1: Black Gossip and they do like the most fun headlines

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Speaker 1: and all handy no coke listen all the time and

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Speaker 1: it's lit, and I feel like seeing this like we

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Speaker 1: need those click sister about to eat the rich. No,

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Speaker 1: Like wait, seeing it is a conglomerate of the shade

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Speaker 1: Room boss and what New York Times does that ship

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Speaker 1: too we come to you for. I think it's just

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Speaker 1: really it's like a smack in the face when there

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Speaker 1: are people who have real fucking like who have been

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Speaker 1: like yo, I really like student debt or Medicare or

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Speaker 1: things like my health insurance. These are things that matter.

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Speaker 1: This other ship that's like, oh my god, can you

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Speaker 1: believe that this is what they're saying, Like no, no, no,

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Speaker 1: see now you're trying to take the focus off of

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Speaker 1: what the real fucking problem woman is by making it

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Speaker 1: like this real housewives of the bet we don't need that.

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Speaker 1: I think that they've severely underestimated their audience. Like I

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Speaker 1: understand that clickbait is very popular. I understand that you

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Speaker 1: can't sell the paper no more, honey, we get it,

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Speaker 1: but we are still the same people that we were,

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Speaker 1: you know, thirty years ago. Like I like to open up.

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Speaker 1: I don't open the newspaper. I do click on news websites,

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Speaker 1: but I'm not going on there, like Sulamani is litis, literally,

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Speaker 1: like I don't want to see ship like that. You'll

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Speaker 1: need to chill, Like this is the news, or they

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Speaker 1: could just steer into the curve and get you to

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Speaker 1: start writing their headlines for them, because that was really good. Actually,

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Speaker 1: they one is gonna hit you up. Ted Turning, Yeah,

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Speaker 1: I think he's still That's how old my brain is

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Speaker 1: in my mind. That's how I'm trying to get. I'm

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Speaker 1: trying to get so old that every time you see

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Speaker 1: my name turning on Twitter, you like get a palpitation

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Speaker 1: in your chest. It's Betty White's for her birthdays on Friday.

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Speaker 1: It was on Friday, So she's turned on Twitter on Friday,

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Speaker 1: and I'm like, it's happened. She's Wow, God, good, good

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Speaker 1: for her. What is something you think is underrated? Underrated?

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Speaker 1: The Circle? I was going to start watching it because

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Speaker 1: it looks like such a fucking It was the first

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Speaker 1: thing I've ever watched, and I love it so much.

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Speaker 1: The premise of The Circle is eight people and they

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Speaker 1: started in London and then they adapted it to the US,

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Speaker 1: but they still shoot it over in the UK. So

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Speaker 1: they flew a bunch of Americans over there. Oh that's

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Speaker 1: shot in the UK. So they're in this apartment building

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Speaker 1: called The Circle and they're they're like little lab brass.

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Speaker 1: They're all on their own little teeny apartment by themselves, honey,

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Speaker 1: and all they can talk to is the Circle, which

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Speaker 1: is an app on the TV, right, Yeah, And so

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Speaker 1: they talk and interact and it's like combinations of different

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Speaker 1: social media profiles, so they can post pics sometimes or

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Speaker 1: change their profile picture. They can like post little status

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Speaker 1: up days, and they can interact with each other, and

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Speaker 1: they have games and challenges and ship and then they

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Speaker 1: have to rate each other each week and two people

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Speaker 1: become influencers and then they block somebody and you're trying

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Speaker 1: to win so you can get a hundred thousand dollars,

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Speaker 1: which after taxes is not a lot of money. Um,

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Speaker 1: but yeah, literally, and people are like crying when they

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Speaker 1: want it's crazy. But they're they're like quarantined in there

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Speaker 1: by themselves for how long? I feel like it can

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Speaker 1: only be a couple of weeks if that, because any

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Speaker 1: longer would be in humane. But in the way they're

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Speaker 1: shooting the episodes, they could be in there for like

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Speaker 1: ten days. Like they shoot pretty quick, and they make

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Speaker 1: you talk, so you can't type out your messages. You

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Speaker 1: have to be like message, Hey, what's up everybody? I'm

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Speaker 1: feeling crazy today at lo L and then they won't

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Speaker 1: be smiling or nothing, and the like send message. Yeah.

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Speaker 1: But the but the like, the game of it is

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Speaker 1: that people can just present themselves however they want. Yes,

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Speaker 1: so there are a few catfishes and there are a

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Speaker 1: few real people, um, and there's some cat there's one

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Speaker 1: catfish who is a man pretending to be a woman

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Speaker 1: and it's crazy because he's like, does not know how

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Speaker 1: to be a woman at all and sounds like a

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Speaker 1: complete psychopath. His strategy is to sound like a woman,

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Speaker 1: but he's just so enough. Yes, he's using his girlfriend's pictures,

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Speaker 1: but I'm not even sure it's his girlfriend. He looks

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Speaker 1: like the kind of guy who owns a fish chank

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Speaker 1: and we know those people are murderers. So wait, how

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Speaker 1: big like like one of those where you could like

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Speaker 1: a yeah, yeah, not a little fish because that's the

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Speaker 1: sociopath pet. You know, what's the way? So is there

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Speaker 1: a threshold from fish bowl to aquarium that I could

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Speaker 1: rock with a fishball because that could have been a

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Speaker 1: gift or it could be for your kids. But if

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Speaker 1: you have an aquarium where you literally got like a

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Speaker 1: little little bitches in a box and you putting food

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Speaker 1: in there and feeding them and looking at him, cause

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Speaker 1: that's all you can do it with a fish. You

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Speaker 1: can't actually pet a fish. I love of fish. A pitch.

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Speaker 1: Don't come to you when you say come, you tap

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Speaker 1: on the glass pet It's like, I got you a

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Speaker 1: little box, bitch. And that's exactly what watching the circle

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Speaker 1: is like. It's like a little fish. Like you're aquatic

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Speaker 1: liberation ideology right right now. I literally like, was gonna

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Speaker 1: go on a date with a guy he took a

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Speaker 1: picture with him next to his fish tank, and I said,

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Speaker 1: hell no. I was like, you know, it's so nice

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Speaker 1: to meet you, but weakens the friends. I'm not about

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Speaker 1: to be chopped up in his freeze? Are you planning?

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Speaker 1: That's what? Do they like? See the camera of the

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Speaker 1: other people, Like, oh so they're just interacting with like

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Speaker 1: a photo via posts and photos just a photo. So

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Speaker 1: when you're looking at this photo, like these people could

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Speaker 1: be who they say they are, they could be somebody else.

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Speaker 1: And there's funny because some real people get mistaken for

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Speaker 1: catfish because they upload a couple of photos that like

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Speaker 1: don't look the same as the other one, Like maybe

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Speaker 1: they changed their look a lot and then that becomes

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Speaker 1: the whole thing. It was. I loved it because it's

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Speaker 1: also nice to watch how people really interact on social

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Speaker 1: media and how they read things and how things are percepted. Um,

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Speaker 1: and also like just watching people a lot, because because

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Speaker 1: like people be like ha ha, I'm dying right now.

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Speaker 1: You are so crazy Stone. That's great um. And it's

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Speaker 1: hosted by Michelle boute Yes. And that's also great because

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Speaker 1: she's so shady stand up. She was in that movie

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Speaker 1: Always be My Maybe as Home Girls. Yeah. Yeah, she's

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00:18:14,800 --> 00:18:17,800
Speaker 1: very funny and she makes commentary all throughout and talks

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Speaker 1: about what they wear, how to act. It's very funny.

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Speaker 1: There's like a guy who this isn't a spoiler, but

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Speaker 1: there's a guy who plays a woman and you know

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Speaker 1: from like Up from Jump, and he gets into a

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Speaker 1: group chat with all women and they started talking about

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Speaker 1: their periods and he's trying to conture he's like, yeah,

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Speaker 1: my flow is popping as well. I wish he was

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Speaker 1: that good, not even that good. He's like, this is

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Speaker 1: not spoiler, but he's like, yeah, y'all, my left side

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Speaker 1: was hurt is so bad, And everybody was like yo,

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Speaker 1: left side. It's just the vague vagueness of the man,

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Speaker 1: just like totally out of out of touch there, Like

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Speaker 1: you should check that out right, my left side so

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Speaker 1: much blood l O L. Period perioded so hard last night.

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Speaker 1: One question I had about that is he assigned that

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Speaker 1: role to he It's a game because they're trying to

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Speaker 1: win the dollars, so people have strategies. Who strategy was

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Speaker 1: I don't think I would ever win as a guy

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Speaker 1: because women do better on social media than men. So

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Speaker 1: he was like, I'm gonna play my girlfriend, but I

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Speaker 1: don't even think that's his damn girlfriend. They showed her

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Speaker 1: and she talked to him, but it just doesn't seem plausim.

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Speaker 1: What do you mean because of the energy. Yes, he

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Speaker 1: has very strange energy, Yes, very bizarre, but I was

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Speaker 1: still into it. Um men out here with very strange

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Speaker 1: energy who have very normal girlfriends in my experience, Well

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Speaker 1: you know what that's because it's so hard. I told

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Speaker 1: you the bars on the floor. I was like, the

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Speaker 1: reason I didn't go out with that guys because I

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Speaker 1: was like, he probably is going to murder me. If

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Speaker 1: he wasn't gonna murder me, then you know I was

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Speaker 1: gonna have to try to give love of a chance.

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Speaker 1: You know, it's rough out here, like sure, anything else

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Speaker 1: not a red flag something people think it's true. So

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Speaker 1: a myth is like when you get a hospital bill,

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Speaker 1: it's not finite, Like that's not like when you get

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00:20:20,359 --> 00:20:24,480
Speaker 1: a build from a hospital, that's a suggestion. Yes, it

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00:20:24,560 --> 00:20:26,399
Speaker 1: surely is. Like I've been doing a lot of research

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Speaker 1: on this because a woman got on Twitter and commented

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Speaker 1: about how she got a build from the hospital and

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Speaker 1: she called them back and asked for an itemized bill

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Speaker 1: and then they took a bunch of charges off. And

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Speaker 1: then I went on a deep dive on this just

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Speaker 1: to see like if this was true. I talked to

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Speaker 1: a lot of people go to the hospital quite often

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Speaker 1: because they have kind of conditions. I got online. I

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00:20:45,760 --> 00:20:47,800
Speaker 1: googled a lot of different sites that are talking about

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Speaker 1: money saving, and y'all, the hospital is scamming. Those bills

389
00:20:52,480 --> 00:20:56,080
Speaker 1: are not real. They charged dollars for a band aid.

390
00:20:56,760 --> 00:20:59,160
Speaker 1: Like I'm not even playing if you call the hospital

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Speaker 1: when you get a bill in the mail, because they'll

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Speaker 1: just send you a bill and be like, hey, sis,

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00:21:02,359 --> 00:21:05,320
Speaker 1: you came in. We gave you a Zanex for your

394
00:21:05,320 --> 00:21:08,960
Speaker 1: panic attack, that'll be and if you call them back,

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00:21:08,960 --> 00:21:10,760
Speaker 1: they'd be like, Okay, so we're gonna take off the

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00:21:10,800 --> 00:21:13,399
Speaker 1: walk into your rown feed. Yeah, we're gonna take off

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00:21:13,440 --> 00:21:17,000
Speaker 1: the light feed. Okay, so we'll call it an even right,

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00:21:17,080 --> 00:21:19,000
Speaker 1: Like we're gonna take out the band aid fee, like

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Speaker 1: we go. You can't do that no more though, that's

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00:21:25,880 --> 00:21:28,439
Speaker 1: what the good old days, all right, what do you

401
00:21:28,480 --> 00:21:31,360
Speaker 1: have on you? What do you have on you? Well?

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00:21:33,440 --> 00:21:36,119
Speaker 1: I mean I I think that is another prime example

403
00:21:36,240 --> 00:21:38,320
Speaker 1: of what the stakes are, right, Like, what are you

404
00:21:38,400 --> 00:21:40,720
Speaker 1: talking about the election that? Yeah, this is also how

405
00:21:40,760 --> 00:21:45,639
Speaker 1: our healthcare system is. Yeah, Like, and people are paying

406
00:21:45,640 --> 00:21:47,879
Speaker 1: it because most of the time we have insurance. But

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00:21:47,960 --> 00:21:50,399
Speaker 1: that's obviously not the case for a lot of our population.

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00:21:50,560 --> 00:21:52,760
Speaker 1: But if you do have insurance, you're just putting your

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00:21:52,760 --> 00:21:55,720
Speaker 1: insurance cards down. They're billing the insurance people just a

410
00:21:55,840 --> 00:21:57,919
Speaker 1: random amount and then they maybe they build you if

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00:21:57,920 --> 00:22:00,160
Speaker 1: there's some overhead, but if you don't call an as,

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00:22:00,400 --> 00:22:02,720
Speaker 1: they are literally in there just adding whatever the funk

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00:22:02,760 --> 00:22:06,240
Speaker 1: they want. It's crazy. So like, guys, if you go

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00:22:06,320 --> 00:22:08,080
Speaker 1: to the hospital, if your kids go to the hospital,

415
00:22:08,080 --> 00:22:10,159
Speaker 1: like when you get that bill, all head and hit

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00:22:10,240 --> 00:22:11,720
Speaker 1: up seater side, and I'd be like, hey, sis, print

417
00:22:11,760 --> 00:22:14,320
Speaker 1: me the itemize, yes, and they will send you the

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00:22:14,359 --> 00:22:19,159
Speaker 1: real amount. And they're like, oh damn, okay, can you

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00:22:19,200 --> 00:22:22,680
Speaker 1: give us some Can you give us some time? Well,

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00:22:22,680 --> 00:22:24,119
Speaker 1: I have to I have to look at some stuff

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00:22:24,119 --> 00:22:27,960
Speaker 1: first and then well there's there's a different items I

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00:22:28,000 --> 00:22:35,399
Speaker 1: have to figure out. Man. I see you. Honestly, I

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Speaker 1: will respect the hospital for It's like the security guard

424
00:22:38,160 --> 00:22:40,159
Speaker 1: when you leave just pulled out the gun. It was like,

425
00:22:40,440 --> 00:22:44,560
Speaker 1: I'm sorry, you have to run your ship. The security

426
00:22:44,560 --> 00:22:48,280
Speaker 1: guard wearing black Air Forces. I'm like, he was wearing black.

427
00:22:48,720 --> 00:22:51,080
Speaker 1: You should never walk if they're wearing black air As

428
00:22:51,359 --> 00:22:53,960
Speaker 1: Jesus Merrow say, a man wearing black Air Forces has

429
00:22:54,000 --> 00:22:59,080
Speaker 1: nothing to loseing, Well, all right, we're gonna take a

430
00:22:59,160 --> 00:23:12,159
Speaker 1: quick break. We'll be right back. And we're back, and

431
00:23:13,160 --> 00:23:15,800
Speaker 1: I believe we have some audio from Kelly and Conway.

432
00:23:16,160 --> 00:23:19,439
Speaker 1: So it's a tough time for the Kelly and Conways,

433
00:23:20,240 --> 00:23:24,320
Speaker 1: the Kelly's and Conway of the world, because there's just

434
00:23:24,400 --> 00:23:26,879
Speaker 1: a lot of a lot of ships, like we already

435
00:23:26,960 --> 00:23:31,399
Speaker 1: knew Trump was guilty of, you know, just all sorts

436
00:23:31,400 --> 00:23:41,840
Speaker 1: of campaign meddling, campaign cheating. Yeah, with war crimes money

437
00:23:41,880 --> 00:23:45,959
Speaker 1: to a ally against Russia, and then the Left partnership hit,

438
00:23:46,200 --> 00:23:52,080
Speaker 1: and then texts started coming out ands and then who

439
00:23:52,119 --> 00:23:57,240
Speaker 1: what's the body that determined that his withholding congressional mandated

440
00:23:57,720 --> 00:24:02,320
Speaker 1: support from Ukraine? Was the Government Accountability Office. They were like,

441
00:24:02,400 --> 00:24:07,920
Speaker 1: that's not okay, that's a crime. Ye do that. It's

442
00:24:07,920 --> 00:24:12,520
Speaker 1: just been all the dumb defenses have just been vaporizing

443
00:24:12,560 --> 00:24:15,000
Speaker 1: before their eyes in terms of like evidence coming out.

444
00:24:15,560 --> 00:24:20,240
Speaker 1: And you know, now that the impeachment trial is starting today,

445
00:24:20,320 --> 00:24:23,320
Speaker 1: basically you know it's begun to put a lot of

446
00:24:23,320 --> 00:24:26,040
Speaker 1: pressure on everybody involved. I mean, we saw Martha McSally

447
00:24:26,320 --> 00:24:29,120
Speaker 1: last week getting pressed by a journalist saying like, hey,

448
00:24:29,119 --> 00:24:31,359
Speaker 1: would you consider this new evidence that comes out? And

449
00:24:31,400 --> 00:24:35,600
Speaker 1: she's like, don't talk to your liberal hack. It's like, wow, okay,

450
00:24:35,680 --> 00:24:38,520
Speaker 1: somebody in their back a little bit. So when Kelley

451
00:24:38,560 --> 00:24:41,240
Speaker 1: and Conway, she went on Fox News, right, which is

452
00:24:41,320 --> 00:24:45,399
Speaker 1: typically you know, the pillow fight, like that's the hardest

453
00:24:45,400 --> 00:24:50,880
Speaker 1: you're gonna get light touch, Like yeah, they were trying

454
00:24:50,920 --> 00:24:53,639
Speaker 1: to get her to answer, basically directly to be like, hey,

455
00:24:53,680 --> 00:24:56,560
Speaker 1: does the White House, you know, are they refuting all

456
00:24:56,600 --> 00:24:58,919
Speaker 1: of this stuff that Left partner said because he's basically

457
00:24:58,920 --> 00:25:04,240
Speaker 1: implicating the President, the Vice President, William Barring, everybody, even

458
00:25:04,240 --> 00:25:08,119
Speaker 1: that R and B group. Pretty ricky. Um, So what

459
00:25:08,240 --> 00:25:11,760
Speaker 1: happened on this like segment on Fox? They gave her

460
00:25:11,760 --> 00:25:14,359
Speaker 1: the opportunity. Hey, left partners said this. What does the

461
00:25:14,359 --> 00:25:16,800
Speaker 1: White House say? So this is their first attempt at

462
00:25:16,920 --> 00:25:19,320
Speaker 1: trying to get her to answer this very straightforward question.

463
00:25:19,440 --> 00:25:21,760
Speaker 1: Is it true or is it false that the president

464
00:25:21,840 --> 00:25:24,600
Speaker 1: knew all about this ship? I saw the statement from

465
00:25:24,800 --> 00:25:27,240
Speaker 1: Stephanie Grisham out late last night. I know he also

466
00:25:27,280 --> 00:25:29,840
Speaker 1: implicated Bill Barr in this, and apparently the d o

467
00:25:29,920 --> 00:25:33,760
Speaker 1: J saw false. What is the White House's position and

468
00:25:33,920 --> 00:25:37,600
Speaker 1: his allegations that are now public? Well, remember people go

469
00:25:37,680 --> 00:25:40,360
Speaker 1: on TV are never under oath. This is someone who

470
00:25:40,400 --> 00:25:42,800
Speaker 1: hadn't come forward in his own volition. He was arrested

471
00:25:42,880 --> 00:25:47,200
Speaker 1: and then indicted on some pretty serious charges. And when

472
00:25:47,240 --> 00:25:49,479
Speaker 1: you have the Vice president chief of Staff, my colleague

473
00:25:49,480 --> 00:25:52,600
Speaker 1: Mark Short this morning saying that, Okay, so that was

474
00:25:52,680 --> 00:25:55,080
Speaker 1: that they tried. They said, Hey, that's a lie, right,

475
00:25:55,119 --> 00:25:58,120
Speaker 1: because that's easy if if it's a lie, normally they're like, yeah,

476
00:25:58,160 --> 00:26:02,560
Speaker 1: that's absolute fabricated nonsense. We stand by that. But that

477
00:26:02,600 --> 00:26:05,200
Speaker 1: wasn't the answer, So Kelly and khn woman and catching

478
00:26:05,280 --> 00:26:07,520
Speaker 1: us up and no more lies. We'll check. So now

479
00:26:08,280 --> 00:26:11,040
Speaker 1: here's take two. The Fox anchors try and ask one

480
00:26:11,040 --> 00:26:14,240
Speaker 1: more time about that that have credibility. And I understand

481
00:26:14,280 --> 00:26:17,119
Speaker 1: what you're saying, But are you Are you saying flat

482
00:26:17,160 --> 00:26:21,200
Speaker 1: out what he alleges is not true? Yes? But what

483
00:26:21,680 --> 00:26:23,960
Speaker 1: when Life Partners says seeking to the court of law

484
00:26:24,000 --> 00:26:26,960
Speaker 1: and he says, the president knew all of my moves,

485
00:26:27,480 --> 00:26:31,480
Speaker 1: he gave consent. Objection. You cannot say what somebody else

486
00:26:31,560 --> 00:26:36,399
Speaker 1: new or thought. Objection, And you're just spinning the wheels again.

487
00:26:37,359 --> 00:26:44,000
Speaker 1: What very easy? You cannot say what somebody knew or thought. Okay,

488
00:26:44,000 --> 00:26:46,159
Speaker 1: So but if I tell you and you are coherent,

489
00:26:46,200 --> 00:26:48,919
Speaker 1: and we make it a contact and we speak, and

490
00:26:48,960 --> 00:26:51,479
Speaker 1: then you we have a conversation, say something about what

491
00:26:51,560 --> 00:26:53,560
Speaker 1: I had just said to you. Yeah, you you repeat

492
00:26:53,560 --> 00:26:57,199
Speaker 1: back information and add information. Objection. I don't have to

493
00:26:57,359 --> 00:26:59,239
Speaker 1: I don't have to ask a question to say this

494
00:26:59,280 --> 00:27:02,000
Speaker 1: statement to be true. Lacey Mosley is on the Daily

495
00:27:02,080 --> 00:27:06,040
Speaker 1: Zeitgeist right now, and she knows she's You don't know

496
00:27:06,240 --> 00:27:11,800
Speaker 1: what she knows. I don't know where I am. I

497
00:27:15,600 --> 00:27:17,480
Speaker 1: wish y'all could see this. It's just a whole other

498
00:27:17,600 --> 00:27:20,480
Speaker 1: energy with this. So again I feel like I have

499
00:27:20,520 --> 00:27:27,200
Speaker 1: to take them. No, I love it, it's not I needed.

500
00:27:27,400 --> 00:27:30,720
Speaker 1: But they literally said yes or no and then into

501
00:27:30,760 --> 00:27:33,760
Speaker 1: an indictment on his credibility. But here's the thing, like, Sis,

502
00:27:33,840 --> 00:27:36,160
Speaker 1: if he's lying, you could just say he's lying, but

503
00:27:36,160 --> 00:27:38,240
Speaker 1: I'm not saying that. So they gave her another chance.

504
00:27:38,240 --> 00:27:45,000
Speaker 1: Here's chance number three, less than one per cent. Is

505
00:27:45,040 --> 00:27:48,520
Speaker 1: he lying or not? Kelly Anne, Well, he's a proven liar.

506
00:27:48,600 --> 00:27:52,360
Speaker 1: He's been indicted, and so I've never looked. I've never

507
00:27:52,400 --> 00:27:55,080
Speaker 1: heard the president mentioned this person to me ever a

508
00:27:55,119 --> 00:27:59,640
Speaker 1: single time, and just as okay. So again, huh, they

509
00:27:59,680 --> 00:28:01,520
Speaker 1: were even getting they were getting tired of it. They're like,

510
00:28:01,760 --> 00:28:05,040
Speaker 1: let's just cut through it. I think, which is the bullshit? Basically,

511
00:28:05,359 --> 00:28:08,040
Speaker 1: I think I think he was probably reacting to the

512
00:28:08,080 --> 00:28:11,719
Speaker 1: producer in his ear being like god damn it, because

513
00:28:11,720 --> 00:28:13,840
Speaker 1: like he's he's not talking to her when he says

514
00:28:13,920 --> 00:28:15,760
Speaker 1: let's just cut through it, I don't. I feel like

515
00:28:15,800 --> 00:28:18,840
Speaker 1: it doesn't make sense. A's more like, alright, let's just

516
00:28:18,880 --> 00:28:22,280
Speaker 1: cut through it, like let's cut through her bullshit. I

517
00:28:22,680 --> 00:28:26,560
Speaker 1: se he literally just kept saying yes or no, and

518
00:28:26,600 --> 00:28:29,120
Speaker 1: then he even just said is he lying? She was like, okay,

519
00:28:29,160 --> 00:28:31,520
Speaker 1: look is he lying. What I can't tell you is

520
00:28:31,560 --> 00:28:37,760
Speaker 1: he has lied in the past. What okay? Easy? And

521
00:28:37,800 --> 00:28:41,480
Speaker 1: I wonder if Fox again thought maybe they would just

522
00:28:41,520 --> 00:28:45,400
Speaker 1: get the neat SoundBite out of her second isn't like that?

523
00:28:45,720 --> 00:28:48,040
Speaker 1: But I guess. But at a certain point, you think

524
00:28:48,080 --> 00:28:50,160
Speaker 1: if they're not, if it's clear by the third time

525
00:28:50,240 --> 00:28:53,200
Speaker 1: she doesn't, she's not interested in answering this question, that

526
00:28:53,240 --> 00:28:56,000
Speaker 1: they would move on, So they try a fourth time.

527
00:28:56,600 --> 00:28:59,480
Speaker 1: I think to just finish on that point. It's yes

528
00:28:59,560 --> 00:29:02,400
Speaker 1: or no. Trump knew exactly what was going on, said

529
00:29:02,480 --> 00:29:06,080
Speaker 1: less part us, and we're asking is that statement true

530
00:29:06,360 --> 00:29:09,360
Speaker 1: or false? Trump knew what was going on? How In

531
00:29:09,400 --> 00:29:12,040
Speaker 1: other words, what is love part is actually saying he's saying,

532
00:29:12,280 --> 00:29:15,160
Speaker 1: the president knew all of my moves. I wouldn't have

533
00:29:15,200 --> 00:29:18,120
Speaker 1: done it without consent of the president. Where did he

534
00:29:18,200 --> 00:29:20,560
Speaker 1: get consent of the president to do that? The president

535
00:29:20,520 --> 00:29:26,760
Speaker 1: of what the president doesn't need? The left partness is

536
00:29:26,760 --> 00:29:32,240
Speaker 1: saying what the president pres I is just appointment. Now

537
00:29:32,440 --> 00:29:34,760
Speaker 1: have you had your clean in the last six months?

538
00:29:35,640 --> 00:29:38,240
Speaker 1: Also using tarder control of tooth baste, Like what the

539
00:29:38,520 --> 00:29:43,880
Speaker 1: If you don't flass, it can lead to gingivis. But like,

540
00:29:45,320 --> 00:29:48,680
Speaker 1: I think it shows again that they know just like

541
00:29:48,760 --> 00:29:51,520
Speaker 1: she doesn't even want to be out here saying that

542
00:29:51,680 --> 00:29:54,480
Speaker 1: like a lie, even though she's normally very comfortable lying

543
00:29:54,720 --> 00:29:57,880
Speaker 1: on behalf of the president. For whatever reason, this really,

544
00:29:58,320 --> 00:30:00,880
Speaker 1: uh is a bit I don't know, making her nervy.

545
00:30:01,040 --> 00:30:03,560
Speaker 1: I feel like they've run out of lies, or at

546
00:30:03,600 --> 00:30:05,840
Speaker 1: least over there they're like, look, we can't have no

547
00:30:05,880 --> 00:30:08,200
Speaker 1: more photos pop up, no more receipts. Just go on

548
00:30:08,240 --> 00:30:10,360
Speaker 1: there and I don't know, talk about the weather. Just

549
00:30:10,440 --> 00:30:13,680
Speaker 1: bring everything back to the weather. And it's funny because

550
00:30:13,960 --> 00:30:15,840
Speaker 1: as she goes, I don't know, I've never heard of

551
00:30:15,920 --> 00:30:19,040
Speaker 1: this Love Partners guy cut to our man Love Partners

552
00:30:19,080 --> 00:30:22,840
Speaker 1: just uploading the selfie with Kelly and Conway. I mean again,

553
00:30:23,680 --> 00:30:27,480
Speaker 1: you can argue because these people are celebrities in Mago world, like, yeah,

554
00:30:27,560 --> 00:30:28,960
Speaker 1: you do probably flick it up with a lot of

555
00:30:28,960 --> 00:30:30,480
Speaker 1: people who are like, Hi, can I get a photo

556
00:30:30,520 --> 00:30:33,760
Speaker 1: with you? Yeah? But here's the thing. As a selfie analyzer,

557
00:30:34,320 --> 00:30:36,320
Speaker 1: as someone who takes a lot of selfies, I can

558
00:30:36,360 --> 00:30:38,520
Speaker 1: always tell because people love doing this something and that

559
00:30:38,560 --> 00:30:40,760
Speaker 1: they love taking a picture with the celebrity that they

560
00:30:40,760 --> 00:30:43,480
Speaker 1: have ambushed at the bathroom. They just shift, they pen

561
00:30:43,560 --> 00:30:45,080
Speaker 1: us off and now you're trying to get a photo.

562
00:30:45,600 --> 00:30:48,520
Speaker 1: And you can always tell in those photos when one

563
00:30:48,560 --> 00:30:54,040
Speaker 1: person is like only slightly a willing participate in the photo. Quick. Yeah,

564
00:30:54,080 --> 00:30:56,240
Speaker 1: so that's so. And that has to do with proximity.

565
00:30:56,240 --> 00:30:58,480
Speaker 1: That has to do with facial expression. That has to

566
00:30:58,480 --> 00:31:01,200
Speaker 1: do with if they're smiling, if they're smiling widely, if

567
00:31:01,200 --> 00:31:03,120
Speaker 1: they're smiling like this is my job to smile, or

568
00:31:03,160 --> 00:31:05,120
Speaker 1: if they're smiling like maybe they were laughing and engaging

569
00:31:05,160 --> 00:31:08,400
Speaker 1: a conversation. Are their eyes smiling along with them exactly?

570
00:31:08,440 --> 00:31:12,000
Speaker 1: Are they smizing? Also, so if you look at they're

571
00:31:12,040 --> 00:31:15,440
Speaker 1: both smiling, it looks like a genuine smile. They're very

572
00:31:15,480 --> 00:31:18,080
Speaker 1: their heads are very close together, they're leaned in. I

573
00:31:18,120 --> 00:31:20,400
Speaker 1: feel like Kelly and is not the baddest So they

574
00:31:20,400 --> 00:31:22,440
Speaker 1: probably had to take a few days before they got

575
00:31:22,480 --> 00:31:24,480
Speaker 1: a good one of her. So this is probably one

576
00:31:24,480 --> 00:31:26,960
Speaker 1: of several photos. It's a good picture of her, and

577
00:31:27,360 --> 00:31:30,200
Speaker 1: let me pick the one because it's also older people

578
00:31:30,240 --> 00:31:32,360
Speaker 1: taking a selfie and we all know they like to

579
00:31:32,360 --> 00:31:34,480
Speaker 1: go under the chin. They like to go like under

580
00:31:34,520 --> 00:31:36,680
Speaker 1: the nose. So I feel like that took a couple

581
00:31:36,680 --> 00:31:39,600
Speaker 1: of tries and she knows it, yeah, she said in

582
00:31:39,640 --> 00:31:43,280
Speaker 1: her angles. Yeah. And their their vibes seems to be

583
00:31:43,360 --> 00:31:47,520
Speaker 1: the same, like they look yeah, yeah, they're both on

584
00:31:47,520 --> 00:31:49,320
Speaker 1: the same page. I'm a selfie sleuth and they know

585
00:31:49,400 --> 00:31:51,840
Speaker 1: each other. That's not just I ran into you outside

586
00:31:51,960 --> 00:31:53,960
Speaker 1: and then the way Nancy Pelosi should have made you

587
00:31:53,960 --> 00:31:56,400
Speaker 1: one of the impeachment managers. This could be like to

588
00:31:56,560 --> 00:31:58,400
Speaker 1: be there for petty ship. This could be a corner

589
00:31:58,400 --> 00:32:01,840
Speaker 1: on CNN. Though I'm serious you you can be like

590
00:32:02,160 --> 00:32:07,240
Speaker 1: and we're bringing in selfie analysts lazy mosy and you

591
00:32:07,320 --> 00:32:11,960
Speaker 1: wear the sunglasses though too. I need one of those

592
00:32:12,040 --> 00:32:13,720
Speaker 1: laser pointers. I want them to bring it up on

593
00:32:13,760 --> 00:32:16,400
Speaker 1: a big weather map behind me and I point out

594
00:32:16,440 --> 00:32:18,760
Speaker 1: all the incongruence. Or it's like an NFL where you

595
00:32:18,800 --> 00:32:21,640
Speaker 1: doing like play analysis mart screen up, Like if you

596
00:32:21,640 --> 00:32:23,280
Speaker 1: look right here, you're the arrows to the eye. Now

597
00:32:23,280 --> 00:32:25,840
Speaker 1: you see the hand here, Now notice the separation. We

598
00:32:25,880 --> 00:32:30,360
Speaker 1: call this the kean. I love the idea, by the way,

599
00:32:30,400 --> 00:32:33,480
Speaker 1: of just ambushing someone after they just shook their penis off,

600
00:32:33,560 --> 00:32:37,080
Speaker 1: because I think that is good advice. Oh you said,

601
00:32:37,360 --> 00:32:41,200
Speaker 1: I heard his ship their penis off though. That was funny.

602
00:32:41,240 --> 00:32:44,240
Speaker 1: It was so wild. I was like, both work. Obviously,

603
00:32:44,240 --> 00:32:46,400
Speaker 1: I don't have a penis, Like y'all shake it off

604
00:32:46,480 --> 00:32:48,800
Speaker 1: right after. Yeah. Yeah, and we also ship it off

605
00:32:48,840 --> 00:32:51,960
Speaker 1: sometimes apparently. I don't know. I just thought that was like, whoa,

606
00:32:52,080 --> 00:32:55,480
Speaker 1: that would be fucked up. Okay, we know you show

607
00:32:55,520 --> 00:33:00,560
Speaker 1: your penis. Thank you, TBD. So, like you said, the

608
00:33:01,000 --> 00:33:07,160
Speaker 1: impeachment is beginning today, I'm talking about impeach in this creed. Uh.

609
00:33:07,240 --> 00:33:10,600
Speaker 1: And let's let's take a look at the two sides,

610
00:33:10,680 --> 00:33:14,120
Speaker 1: shall we. Yeah, So on one side, we have the

611
00:33:14,320 --> 00:33:18,800
Speaker 1: very workman like team of impeachment managers from the House

612
00:33:18,960 --> 00:33:27,080
Speaker 1: Pelosi announced revealed uh last week. And good, look it's good.

613
00:33:27,120 --> 00:33:31,360
Speaker 1: People Adam shift Jerry Nadler grant their respective chairs of

614
00:33:31,400 --> 00:33:35,880
Speaker 1: the entire committee. You got zo Zoe Lofgren, who was

615
00:33:35,920 --> 00:33:39,640
Speaker 1: a staffer for the Judiciary Committee during the Nixon impeachment,

616
00:33:40,280 --> 00:33:42,880
Speaker 1: was a member of the panel during the Clinton impeachment.

617
00:33:44,280 --> 00:33:49,560
Speaker 1: Rand O J doesn't make an appearance. Oh oh, j

618
00:33:49,720 --> 00:33:53,320
Speaker 1: also makes an appearance. Then you have you know, Hakim Jeffries,

619
00:33:53,760 --> 00:33:57,400
Speaker 1: who's been like the caucus leader. You have Valve Demmings,

620
00:33:57,440 --> 00:34:01,560
Speaker 1: who was the Orlando police chief has also sat on

621
00:34:01,720 --> 00:34:05,640
Speaker 1: the UH Intel and Judiciary committees and was pretty good

622
00:34:05,680 --> 00:34:08,600
Speaker 1: with her questions that she asked. Uh, and even Sylvia

623
00:34:08,640 --> 00:34:13,279
Speaker 1: Garcia from Texas who was running like the municipal like

624
00:34:13,400 --> 00:34:16,360
Speaker 1: was a municipal judge in Houston. So like you have

625
00:34:16,400 --> 00:34:20,040
Speaker 1: people who are like have like like legal minds and

626
00:34:20,120 --> 00:34:24,120
Speaker 1: who are very very very aware of all the details

627
00:34:24,840 --> 00:34:27,120
Speaker 1: of this case. So you're like, Okay, this is actually

628
00:34:27,160 --> 00:34:31,680
Speaker 1: a really good assembly and variety of people and expertise

629
00:34:31,680 --> 00:34:36,160
Speaker 1: and backgrounds. Right, but can Nancy Pelosi turn on the

630
00:34:36,200 --> 00:34:40,200
Speaker 1: TV and see all those people breaking down the case

631
00:34:40,320 --> 00:34:45,719
Speaker 1: with just loud takes. That's what's important. Because the president's

632
00:34:45,760 --> 00:34:50,720
Speaker 1: team was announced and it's TV lawyers, It's like, uh,

633
00:34:50,760 --> 00:34:56,399
Speaker 1: you got Derschowitz der Schwitz. Uh. Interesting time to let

634
00:34:56,400 --> 00:34:58,440
Speaker 1: the world know you guys are on the same side

635
00:34:58,600 --> 00:35:02,360
Speaker 1: since he U is implicated and all that Epstein ship,

636
00:35:02,440 --> 00:35:07,600
Speaker 1: and can yes also Cavin for o J just you know,

637
00:35:07,840 --> 00:35:12,880
Speaker 1: world famous I defend guilty people. And also remember recently

638
00:35:12,920 --> 00:35:15,640
Speaker 1: with all the Epstein stuff, how awkwardly he was trying

639
00:35:15,680 --> 00:35:18,880
Speaker 1: to defend himself from any allegations of wrongdoing. He claims

640
00:35:18,920 --> 00:35:21,799
Speaker 1: it was a conspiracy by like some other lawyers. Yeah,

641
00:35:22,400 --> 00:35:25,719
Speaker 1: like I never knew anything about it. You could also

642
00:35:25,760 --> 00:35:28,120
Speaker 1: just directly come out and talk about what they're accusing you.

643
00:35:28,440 --> 00:35:31,879
Speaker 1: But he's doing to Kelly and khn woman, Yes exactly. Yes.

644
00:35:32,360 --> 00:35:38,680
Speaker 1: Uh there's Ken's star which hilarious. It's I don't know,

645
00:35:39,200 --> 00:35:43,640
Speaker 1: are they is that like for scale like that that

646
00:35:43,680 --> 00:35:47,239
Speaker 1: they're just like to to keep it in perspective like

647
00:35:47,320 --> 00:35:52,200
Speaker 1: what a Republican will impeach someone for versus what what

648
00:35:52,239 --> 00:35:55,960
Speaker 1: this is about? I don't. Yeah. I think it's maybe

649
00:35:55,960 --> 00:35:58,680
Speaker 1: because he's been on TV a lot. Yeah, because again,

650
00:35:58,719 --> 00:36:01,480
Speaker 1: you know, he Trump lives through whatever is happening on

651
00:36:01,520 --> 00:36:03,680
Speaker 1: the TV. He's like, Okay, that guy said something good

652
00:36:03,680 --> 00:36:06,719
Speaker 1: on TV. That that's reality to me. So that's who

653
00:36:06,760 --> 00:36:11,400
Speaker 1: I'll appoint to defend me in illegal proceeding. Yeah exactly.

654
00:36:12,080 --> 00:36:15,319
Speaker 1: I judge Joe Mathis and Judge Hatchett. I like her

655
00:36:15,320 --> 00:36:18,680
Speaker 1: short hair, but yeah, I think you know, again, these

656
00:36:18,719 --> 00:36:23,080
Speaker 1: are all people who will make good. I think the

657
00:36:23,320 --> 00:36:27,320
Speaker 1: grandstand in the Senate and it shows. And also Pam Bondi,

658
00:36:27,400 --> 00:36:30,600
Speaker 1: who was the former a g IF Florida and famous

659
00:36:30,719 --> 00:36:33,640
Speaker 1: n R A protector. She's also on that team too,

660
00:36:33,640 --> 00:36:35,200
Speaker 1: So it's a lot of people who like to get

661
00:36:35,560 --> 00:36:39,839
Speaker 1: bad loud long takes off on TV. And you know,

662
00:36:40,200 --> 00:36:42,520
Speaker 1: a lot of people were speculating that maybe some people

663
00:36:42,600 --> 00:36:45,360
Speaker 1: like Jim Jordan's like from the House, or like Doug

664
00:36:45,400 --> 00:36:47,759
Speaker 1: Collins might be part of this team because they were,

665
00:36:47,840 --> 00:36:49,920
Speaker 1: you know, defending the president in the House. But I

666
00:36:49,960 --> 00:36:51,719
Speaker 1: think a lot of Republicans in the Senate were like, no,

667
00:36:51,800 --> 00:36:54,200
Speaker 1: those guys are clowns and they're gonna make it look

668
00:36:54,239 --> 00:36:56,880
Speaker 1: really dumb, because like this has to have some semblance

669
00:36:56,920 --> 00:37:00,479
Speaker 1: of a legitimate trial, because they even know I'm they're

670
00:37:00,520 --> 00:37:02,839
Speaker 1: base don't care about that, of course, but I think

671
00:37:02,840 --> 00:37:05,319
Speaker 1: for the the for people who might go to the

672
00:37:05,360 --> 00:37:07,719
Speaker 1: polls against them or vote against them, like if they're

673
00:37:07,800 --> 00:37:10,200
Speaker 1: especially senators, they want to at least be able to

674
00:37:10,239 --> 00:37:13,239
Speaker 1: pretend it wasn't a sham, even though it is looking

675
00:37:13,239 --> 00:37:16,040
Speaker 1: like a sham at this point. So I felt like, Okay,

676
00:37:16,239 --> 00:37:18,399
Speaker 1: let's not have those loud mouths on. Let's get people

677
00:37:18,400 --> 00:37:20,960
Speaker 1: who will just you know, make some maybe get some

678
00:37:21,000 --> 00:37:23,520
Speaker 1: sound bites and you can score some points on tving.

679
00:37:23,880 --> 00:37:26,480
Speaker 1: But who's going to be left to take Trump's side?

680
00:37:26,640 --> 00:37:31,600
Speaker 1: On Fox News and like cable shows when like dersha

681
00:37:31,640 --> 00:37:35,799
Speaker 1: Witz and Ken Star gone like those were the main guys. Yeah,

682
00:37:35,840 --> 00:37:38,160
Speaker 1: I'm sure they have just like a next man up. Men,

683
00:37:38,200 --> 00:37:40,440
Speaker 1: they do, and I think the people who are going

684
00:37:40,480 --> 00:37:43,640
Speaker 1: to be coming in. One of them is John Schnatter

685
00:37:43,880 --> 00:37:46,920
Speaker 1: up formally Papa John. Yeah, he's gonna be one of

686
00:37:46,960 --> 00:37:52,960
Speaker 1: the legal analysts for Fox. Honestly, they just get to

687
00:37:52,960 --> 00:37:55,319
Speaker 1: a point where they like, Hey, Papa John, what's your

688
00:37:55,320 --> 00:37:57,680
Speaker 1: take on this engagement. He's like, I've had forty pizzas

689
00:37:57,680 --> 00:38:03,360
Speaker 1: in thirty days. Moves along on a snail trail. Yeah, yeah, Um,

690
00:38:03,560 --> 00:38:05,839
Speaker 1: let's talk about Boeing. This is something that came out

691
00:38:06,360 --> 00:38:08,120
Speaker 1: maybe a couple of weeks ago, but it was a

692
00:38:08,280 --> 00:38:11,799
Speaker 1: document dump that I just want to read some of

693
00:38:11,800 --> 00:38:15,880
Speaker 1: these quotes, so, you know, there there was speculation that

694
00:38:16,000 --> 00:38:19,680
Speaker 1: they knew something was wrong with the Max three whatever,

695
00:38:20,600 --> 00:38:28,480
Speaker 1: the Max Max seven seven Max before there were two uh,

696
00:38:28,680 --> 00:38:34,040
Speaker 1: two fatal crashes that happened, uh and that people think

697
00:38:34,080 --> 00:38:36,680
Speaker 1: we're part of. You know. Basically, it's like pilot Air,

698
00:38:36,840 --> 00:38:42,160
Speaker 1: but the pilot air. Yeah, so the plane stopped working

699
00:38:42,200 --> 00:38:46,799
Speaker 1: in the pilot work so well that Pilot Air tell

700
00:38:46,880 --> 00:38:48,800
Speaker 1: him that there was this other ship he hadn't know about.

701
00:38:48,920 --> 00:38:51,440
Speaker 1: And the other thing is that the tone is very

702
00:38:51,520 --> 00:38:55,640
Speaker 1: like BROI, it's like very I don't know Freddy like that.

703
00:38:56,000 --> 00:38:58,960
Speaker 1: So one of the emails this is like from executives within,

704
00:38:59,640 --> 00:39:02,600
Speaker 1: from executives with him bowing. One of the emails is

705
00:39:02,920 --> 00:39:06,080
Speaker 1: a guy saying, I still haven't been forgiven for what

706
00:39:06,600 --> 00:39:09,960
Speaker 1: for the covering up I did last year? Uh when

707
00:39:10,200 --> 00:39:15,760
Speaker 1: when referring to uh their interactions with the f a A. Um,

708
00:39:15,880 --> 00:39:19,480
Speaker 1: so like still, yo, bro, I still haven't been forgiven

709
00:39:19,520 --> 00:39:21,759
Speaker 1: for what I did in Vegas last weekend. You know,

710
00:39:22,960 --> 00:39:26,839
Speaker 1: people die? You know what. I'm on my knees right now. Man,

711
00:39:27,560 --> 00:39:31,560
Speaker 1: Come on, this is annoying. Yeah. Um. But so that's

712
00:39:31,560 --> 00:39:34,560
Speaker 1: how they view their interactions with the f a A

713
00:39:34,800 --> 00:39:37,600
Speaker 1: is just like, oh man, here they get in some

714
00:39:37,640 --> 00:39:41,359
Speaker 1: work on FA on the f A last year. Uh.

715
00:39:41,719 --> 00:39:44,520
Speaker 1: Also there's a pilots and ship involved in some of

716
00:39:44,560 --> 00:39:51,560
Speaker 1: these conversations. Boeing employees pilots. Uh. So what one exchange goes,

717
00:39:51,640 --> 00:39:54,960
Speaker 1: would you put your family on a Max Simulator trained aircraft?

718
00:39:55,200 --> 00:39:59,000
Speaker 1: I wouldn't, one employee said to a colleague before the

719
00:39:59,080 --> 00:40:02,480
Speaker 1: first crash. By the way, this was not. This was

720
00:40:02,520 --> 00:40:05,279
Speaker 1: not after this was They were talking about the thing

721
00:40:05,360 --> 00:40:08,480
Speaker 1: that was going to cause the crashes before the first crash,

722
00:40:08,719 --> 00:40:13,080
Speaker 1: and the colleague responded, no, I would not. My god,

723
00:40:13,480 --> 00:40:16,600
Speaker 1: another set of messages, employees question that the design of

724
00:40:16,680 --> 00:40:20,200
Speaker 1: the Max and denigrated their own colleagues. This airplane is

725
00:40:20,239 --> 00:40:24,400
Speaker 1: designed by clowns who are in turn supervised by monkeys.

726
00:40:25,520 --> 00:40:28,680
Speaker 1: Holy sh it, I mean at that point, like, now,

727
00:40:28,680 --> 00:40:31,440
Speaker 1: that's something that happens in the engineering community. But the

728
00:40:31,520 --> 00:40:35,000
Speaker 1: issue is is like, you guys aren't making like a

729
00:40:35,160 --> 00:40:39,319
Speaker 1: stove machine. You're making something that literally goes into the

730
00:40:39,320 --> 00:40:41,440
Speaker 1: sky and can kill lots of people. And that's so

731
00:40:41,520 --> 00:40:44,560
Speaker 1: scary because when you talk about big companies like that,

732
00:40:44,840 --> 00:40:47,720
Speaker 1: like pharmaceutical companies, for instance, they'll put out a drug

733
00:40:48,040 --> 00:40:50,520
Speaker 1: and then have a safer version of that drug, but

734
00:40:50,640 --> 00:40:53,640
Speaker 1: not sell it until they've sold out on the patent

735
00:40:53,760 --> 00:40:56,279
Speaker 1: of the other drug, and then when people sued because

736
00:40:56,320 --> 00:40:59,000
Speaker 1: they've died, it's almost always cheaper to pay out the

737
00:40:59,040 --> 00:41:01,560
Speaker 1: people who died ensued that it would have been to

738
00:41:01,640 --> 00:41:04,520
Speaker 1: recall the drug and put out the other ones. So

739
00:41:04,560 --> 00:41:06,960
Speaker 1: they're making money, so they don't care about those fatalities.

740
00:41:07,000 --> 00:41:08,799
Speaker 1: They know they happened for them. It's a part of

741
00:41:08,800 --> 00:41:12,400
Speaker 1: the business. But we cannot have the airline company talking

742
00:41:12,440 --> 00:41:14,520
Speaker 1: about Okay, well, a few max is gonna go down,

743
00:41:14,840 --> 00:41:17,120
Speaker 1: you know, a few families gonna die, but we're gonna

744
00:41:17,120 --> 00:41:19,120
Speaker 1: be Gucci in the end. That's not a risk that

745
00:41:19,120 --> 00:41:22,879
Speaker 1: we should be to do. Is designed by clowns supervised

746
00:41:22,920 --> 00:41:24,719
Speaker 1: by monkeys. What the funk? How the funk? Am I

747
00:41:24,760 --> 00:41:28,040
Speaker 1: supposed to help? Another colorful metaphor. So they were talking

748
00:41:28,040 --> 00:41:32,759
Speaker 1: about a presentation they gave the f a A. Uh

749
00:41:32,840 --> 00:41:35,200
Speaker 1: in order to get them to approve this, but they

750
00:41:35,239 --> 00:41:39,280
Speaker 1: made it intentionally complicated, so the f a A wouldn't

751
00:41:39,520 --> 00:41:42,080
Speaker 1: really know what the pick up on the comments, Yeah,

752
00:41:42,080 --> 00:41:44,719
Speaker 1: I just used a bunch of like engineering lingo. And

753
00:41:44,960 --> 00:41:49,440
Speaker 1: the bowling employee said, it was like dogs watching TV. Bro.

754
00:41:50,400 --> 00:41:52,520
Speaker 1: They didn't get it. They didn't know what's going on.

755
00:41:53,200 --> 00:41:56,879
Speaker 1: We're good, We're gooch were it's uh, I mean this

756
00:41:56,960 --> 00:41:59,440
Speaker 1: is this shows you man, like when the when fucking

757
00:41:59,480 --> 00:42:02,520
Speaker 1: like bitalism runs wild, people are just so focused and

758
00:42:02,640 --> 00:42:05,560
Speaker 1: be like, look, we got shareholders. I gotta show profits.

759
00:42:05,600 --> 00:42:09,200
Speaker 1: I don't give a fuck if people die. Yeah, because

760
00:42:09,239 --> 00:42:11,120
Speaker 1: at the end of the day, like what I think

761
00:42:11,160 --> 00:42:15,320
Speaker 1: three six people basically passed away in those two crashes,

762
00:42:16,080 --> 00:42:18,040
Speaker 1: And it's so easy to pass the buck to somebody

763
00:42:18,040 --> 00:42:19,919
Speaker 1: when you're in a large company. It's like, Okay, maybe

764
00:42:19,960 --> 00:42:21,719
Speaker 1: I was one of the monkeys who supervised, maybe I

765
00:42:21,760 --> 00:42:23,640
Speaker 1: was the clowns who made it, but I'm not the

766
00:42:23,640 --> 00:42:26,040
Speaker 1: ball because and everyone has the mentality of like being

767
00:42:26,080 --> 00:42:27,799
Speaker 1: able to pass the buck of sort of like, well,

768
00:42:27,840 --> 00:42:30,759
Speaker 1: I'm not the clown, right, Okay, the clown is who

769
00:42:30,800 --> 00:42:33,960
Speaker 1: designed it. I'm the ringleader with the stool in his

770
00:42:34,040 --> 00:42:37,160
Speaker 1: hand and whip and that's it I'm gonna do. But

771
00:42:37,239 --> 00:42:39,040
Speaker 1: it's exactly like if you're part of any of the

772
00:42:39,080 --> 00:42:41,319
Speaker 1: ship organization, if you're a Nazi, it doesn't matter. If

773
00:42:41,320 --> 00:42:43,480
Speaker 1: you're just the Nazi who refills the toilet paper and

774
00:42:43,520 --> 00:42:46,440
Speaker 1: gets new lightbulbs for the consultation camp, you still a Nazi.

775
00:42:46,680 --> 00:42:51,080
Speaker 1: Like you're all complicit, you're all bad, especially when they know,

776
00:42:51,400 --> 00:42:54,839
Speaker 1: like they're they're actually articulating to each other that this

777
00:42:54,920 --> 00:42:58,560
Speaker 1: is not good, it has problems, and then it's still like, yeah,

778
00:42:58,600 --> 00:43:00,080
Speaker 1: we knew and we do it anyway. And I'm and

779
00:43:00,120 --> 00:43:01,959
Speaker 1: I think this shouldn't be a surprise to anybody, because

780
00:43:02,280 --> 00:43:04,960
Speaker 1: like you're saying in nearly any industry, it happens all

781
00:43:04,960 --> 00:43:07,400
Speaker 1: the time because they have they've done the math on

782
00:43:07,440 --> 00:43:09,640
Speaker 1: what it costs to just do the quick version that

783
00:43:09,680 --> 00:43:12,680
Speaker 1: makes more money, and you know it's all it's all

784
00:43:12,719 --> 00:43:17,239
Speaker 1: been foretold. Thing in particular, just I don't know if

785
00:43:17,280 --> 00:43:20,799
Speaker 1: we should view this as like way worse because of

786
00:43:21,200 --> 00:43:23,960
Speaker 1: like just how awful it would be to die in

787
00:43:23,960 --> 00:43:28,000
Speaker 1: a plane crash, Like that is the worst, the worst

788
00:43:28,360 --> 00:43:32,400
Speaker 1: thing I can imagine happening, Like you're realist fears being confirmed,

789
00:43:32,680 --> 00:43:34,640
Speaker 1: Like you imagine being in the air and you turn

790
00:43:34,760 --> 00:43:38,960
Speaker 1: to the wing and edgepoint is a flame. Right, yes, no,

791
00:43:39,840 --> 00:43:41,960
Speaker 1: I already have to die on the bot. You want

792
00:43:41,960 --> 00:43:44,640
Speaker 1: to blow up? Oh my god. I should be really

793
00:43:44,680 --> 00:43:46,960
Speaker 1: anxious getting on planes. I mean, I fly all it

794
00:43:47,080 --> 00:43:48,880
Speaker 1: a lot, but I was in the back of my

795
00:43:48,920 --> 00:43:51,000
Speaker 1: mind I would like look around and be like, what's

796
00:43:51,040 --> 00:43:54,000
Speaker 1: the story they'll tell about this flight? Right? Like I've

797
00:43:54,000 --> 00:43:55,960
Speaker 1: said that ship in my head, and I'm like, I'm like,

798
00:43:55,960 --> 00:43:57,759
Speaker 1: I need to chill the funk out. I playing with

799
00:43:57,800 --> 00:43:59,520
Speaker 1: me mom with Tina Knowles, and I said, oh, I'm

800
00:43:59,560 --> 00:44:04,200
Speaker 1: good on this flight. I slept real good on that flight.

801
00:44:04,280 --> 00:44:06,560
Speaker 1: I said, ship we're making it to the desigation on

802
00:44:06,600 --> 00:44:09,120
Speaker 1: this bitch, but any other flight, I'm like, damn, I'm

803
00:44:09,120 --> 00:44:12,759
Speaker 1: out here a bunch of randos that Oh god, that's

804
00:44:12,800 --> 00:44:15,920
Speaker 1: so sick. Honestly, I think a lot of this happens

805
00:44:15,960 --> 00:44:18,400
Speaker 1: because there's no real repercussions for the six ship that

806
00:44:18,440 --> 00:44:20,200
Speaker 1: people do anymore. I think that if you really had

807
00:44:20,200 --> 00:44:22,879
Speaker 1: to worry about the bereaved families of three six people

808
00:44:22,880 --> 00:44:25,880
Speaker 1: showing up to your job and whooping your fucking ass

809
00:44:25,920 --> 00:44:28,600
Speaker 1: like it there's a real repercussion for these actions other

810
00:44:28,600 --> 00:44:31,000
Speaker 1: than a law sanction or a fine. Well, I think

811
00:44:31,000 --> 00:44:33,600
Speaker 1: that's where they have to they have to begin holding

812
00:44:33,640 --> 00:44:36,080
Speaker 1: individuals account there, because now it's just sort of like, well,

813
00:44:36,120 --> 00:44:39,520
Speaker 1: I guess we'll find the f A will find bowing,

814
00:44:39,719 --> 00:44:41,280
Speaker 1: And where does the money go? Not to the families

815
00:44:41,400 --> 00:44:43,799
Speaker 1: for like two percent of like what their profits are,

816
00:44:44,160 --> 00:44:45,800
Speaker 1: you know what I mean? Like, it's not it doesn't

817
00:44:45,840 --> 00:44:48,280
Speaker 1: functionally work as a deterrent, And I think that's the issue.

818
00:44:48,360 --> 00:44:51,040
Speaker 1: No jail time and the hood jail. You got to

819
00:44:51,040 --> 00:44:53,120
Speaker 1: go to jail Little County. But I think that's the

820
00:44:53,160 --> 00:44:55,640
Speaker 1: thing if you go, like you know, for these people,

821
00:44:55,680 --> 00:44:58,000
Speaker 1: they know they can just they know even if this

822
00:44:58,120 --> 00:45:00,799
Speaker 1: is bad, it's not it's never gonna f all onto them.

823
00:45:01,160 --> 00:45:03,520
Speaker 1: And I think that's where it you know, not to

824
00:45:03,520 --> 00:45:06,120
Speaker 1: say that these people are the ones that are directly responsible,

825
00:45:06,120 --> 00:45:09,080
Speaker 1: because obviously this is just how it's being communicated internally,

826
00:45:09,400 --> 00:45:11,640
Speaker 1: but like, at some point you have to begin to

827
00:45:11,680 --> 00:45:14,759
Speaker 1: identify where these things happen, where those decisions are made,

828
00:45:15,160 --> 00:45:17,680
Speaker 1: and you know, hold people accountable, because if it's a mistake,

829
00:45:17,719 --> 00:45:19,560
Speaker 1: that's one thing. If there's an accident, but there's a

830
00:45:19,560 --> 00:45:21,600
Speaker 1: different thing. If you all are joking about how you

831
00:45:21,640 --> 00:45:24,279
Speaker 1: would never fly on this plane, then these planes are

832
00:45:24,360 --> 00:45:27,040
Speaker 1: killing and then like tricking the f A A and like, yeah,

833
00:45:27,080 --> 00:45:30,520
Speaker 1: triggering the It just suggests that they knew, like they

834
00:45:31,120 --> 00:45:33,319
Speaker 1: did know what they were doing. They was it wasn't

835
00:45:33,320 --> 00:45:37,080
Speaker 1: a fucking mistake that was like whoops, uh you know,

836
00:45:37,160 --> 00:45:39,920
Speaker 1: we we made a designer. It was they knew they

837
00:45:39,920 --> 00:45:44,160
Speaker 1: were you know, fooling people in order to like get

838
00:45:45,120 --> 00:45:49,480
Speaker 1: uh get them, give them the ability to sell a

839
00:45:49,600 --> 00:45:51,319
Speaker 1: dangerous airplane. Well, then we need to do a hard

840
00:45:51,360 --> 00:45:54,360
Speaker 1: rebrand on bowing. Yeah, I'm gonna get some growing growing

841
00:45:54,560 --> 00:45:58,319
Speaker 1: or with some flames on it, like plane crashing, Like

842
00:45:58,320 --> 00:46:01,279
Speaker 1: we're gonna rebrand your whole ship. All right, we're gonna

843
00:46:01,320 --> 00:46:13,720
Speaker 1: take a quick break. We'll be right back, and we're back.

844
00:46:14,239 --> 00:46:18,360
Speaker 1: And something that people started talking about towards the end

845
00:46:18,400 --> 00:46:22,960
Speaker 1: the last week is NBC has a streaming service called Peacock,

846
00:46:24,000 --> 00:46:25,319
Speaker 1: and we're all like, what is it going to be?

847
00:46:25,520 --> 00:46:29,560
Speaker 1: What is it going to coming out in July? This

848
00:46:29,640 --> 00:46:33,000
Speaker 1: is this is probably the least excited I've been for Well,

849
00:46:33,000 --> 00:46:37,640
Speaker 1: there's too many fucking streaming services, Like it really is.

850
00:46:37,680 --> 00:46:40,240
Speaker 1: A lot of people are saying you're getting you're streaming

851
00:46:40,280 --> 00:46:42,960
Speaker 1: so much it or you're slapping together so many streaming

852
00:46:43,360 --> 00:46:46,200
Speaker 1: plans if you are the one paying for them, let's pretend,

853
00:46:46,239 --> 00:46:48,080
Speaker 1: because I don't know anybody who actually pays for all

854
00:46:48,120 --> 00:46:51,280
Speaker 1: of them. We all takes a village to entertain ourselves.

855
00:46:51,760 --> 00:46:53,960
Speaker 1: Um that you know, if you did that, you might

856
00:46:53,960 --> 00:46:56,240
Speaker 1: as well just get like the most top tier direct

857
00:46:56,239 --> 00:46:59,440
Speaker 1: TV package or whatever, like yeah, you go for you

858
00:46:59,640 --> 00:47:05,359
Speaker 1: like back and then I've got some take and then

859
00:47:05,360 --> 00:47:09,239
Speaker 1: I put I put the cord back together. It was

860
00:47:09,400 --> 00:47:11,799
Speaker 1: much a spark. So I was like, I look like

861
00:47:11,800 --> 00:47:15,560
Speaker 1: I was working for Boeing. No, because it's just it's

862
00:47:15,600 --> 00:47:16,960
Speaker 1: too much. And I think when people are going to

863
00:47:17,000 --> 00:47:19,160
Speaker 1: start to realize our companies is that you're just gonna

864
00:47:19,239 --> 00:47:21,000
Speaker 1: kill off all the money that you spend on whatever

865
00:47:21,080 --> 00:47:23,919
Speaker 1: programming you're putting on these streaming platforms. Because I've gotten

866
00:47:23,920 --> 00:47:26,040
Speaker 1: to a point where I'm like, I'm good, Like you

867
00:47:26,080 --> 00:47:28,239
Speaker 1: could have the best TV show. I don't give a funk,

868
00:47:28,360 --> 00:47:30,200
Speaker 1: Like there's something else on that I can watch it

869
00:47:30,320 --> 00:47:33,000
Speaker 1: on one of these platforms. I already get. Yeah, it's

870
00:47:33,040 --> 00:47:36,160
Speaker 1: reached a certain level of quality that there's just good

871
00:47:36,640 --> 00:47:40,200
Speaker 1: things are good enough on lots of different places because

872
00:47:40,200 --> 00:47:42,520
Speaker 1: they're satisficers and there's maximizers, and I don't think there's

873
00:47:42,560 --> 00:47:46,840
Speaker 1: enough people trying to maximize their entertainment like resources to

874
00:47:46,880 --> 00:47:50,399
Speaker 1: the point where they're going to have like twenty apps. Yeah. Yeah,

875
00:47:50,480 --> 00:47:52,640
Speaker 1: I think we all reach a point where like, I'm good. Yeah,

876
00:47:52,640 --> 00:47:54,600
Speaker 1: at the certain point, I'm like, well, okay, I mean,

877
00:47:55,160 --> 00:47:57,000
Speaker 1: so the thing is they have they're gonna have three tiers.

878
00:47:57,040 --> 00:47:59,480
Speaker 1: There's gonna be a totally free one which has like

879
00:47:59,560 --> 00:48:03,400
Speaker 1: limited programming and it's all adds, so it's like like

880
00:48:03,480 --> 00:48:05,279
Speaker 1: Hulu back in the day when you could use it

881
00:48:05,280 --> 00:48:07,759
Speaker 1: for free. Uh, and then there's like one if you

882
00:48:07,800 --> 00:48:11,520
Speaker 1: have if your Comcast customer. Uh, that's like you get

883
00:48:11,520 --> 00:48:13,239
Speaker 1: a free version for that one. Then there's like a

884
00:48:13,360 --> 00:48:15,960
Speaker 1: five dollars a month version for other people. If you

885
00:48:15,960 --> 00:48:18,000
Speaker 1: just want to get in for five bucks, there's ads

886
00:48:18,280 --> 00:48:24,920
Speaker 1: and then ten bucks a month ad free now right,

887
00:48:25,280 --> 00:48:27,480
Speaker 1: So it's like, but the thing is there's so much crossover,

888
00:48:27,520 --> 00:48:30,120
Speaker 1: right because who also has content from these networks? Now

889
00:48:30,120 --> 00:48:32,399
Speaker 1: are they going to take all their content? So that's

890
00:48:32,440 --> 00:48:34,720
Speaker 1: the thing is that eventually a lot of this stuff.

891
00:48:34,760 --> 00:48:36,680
Speaker 1: The plan is that Peacock is going to begin making

892
00:48:36,719 --> 00:48:40,000
Speaker 1: a lot of stuff exclusive to Peacock to be like, Okay,

893
00:48:40,040 --> 00:48:42,399
Speaker 1: because a lot of people watch Hulu, watch Saturday Night

894
00:48:42,400 --> 00:48:44,239
Speaker 1: Live on Hulu or something, or like you check you

895
00:48:44,320 --> 00:48:46,600
Speaker 1: check it out through Hulu, eventually that will just be

896
00:48:46,640 --> 00:48:49,400
Speaker 1: on Peacock. So I feel like Hulu could end up

897
00:48:49,480 --> 00:48:53,080
Speaker 1: losing a lot of offerings. Um, and then I think,

898
00:48:53,120 --> 00:48:56,040
Speaker 1: I mean the advantages that Peacock has that I see

899
00:48:56,120 --> 00:48:58,640
Speaker 1: is like the TV aspect is like they've had some

900
00:48:58,680 --> 00:49:00,799
Speaker 1: of the top shows of the last twenty years. And

901
00:49:00,840 --> 00:49:04,200
Speaker 1: then also yeah, the office parks and wreck like they

902
00:49:04,239 --> 00:49:07,800
Speaker 1: have they have they have a decent offering. Feel like

903
00:49:07,080 --> 00:49:12,680
Speaker 1: you are like good girls. Yeah, I started watching on Netflix.

904
00:49:12,760 --> 00:49:15,000
Speaker 1: But the thing is, I don't know anymore what anything

905
00:49:15,040 --> 00:49:19,080
Speaker 1: comes from the Netflix's good Girls, really good. I started

906
00:49:19,080 --> 00:49:21,080
Speaker 1: watching the first season and I kept watching. If you

907
00:49:21,080 --> 00:49:24,200
Speaker 1: ever watched Mad Money, it's like that movie Mad Money

908
00:49:24,200 --> 00:49:37,319
Speaker 1: Will Clean the TIFA, very strange buzzers and like okay.

909
00:49:38,800 --> 00:49:40,640
Speaker 1: But the other thing that I think NBC has is

910
00:49:40,680 --> 00:49:43,200
Speaker 1: their sports offerings because this is going to come out

911
00:49:43,200 --> 00:49:45,279
Speaker 1: around the time of the Olympics, so you'll get like

912
00:49:45,320 --> 00:49:49,240
Speaker 1: they'll be like more Olympic content for me personally, because

913
00:49:49,280 --> 00:49:52,000
Speaker 1: they have the rights to the English Premier League. That's

914
00:49:52,040 --> 00:49:54,439
Speaker 1: where my head will start to turn because right now,

915
00:49:55,040 --> 00:49:57,360
Speaker 1: if you want every Premier League match, you have to

916
00:49:57,360 --> 00:49:59,719
Speaker 1: pay for like another package or whatever. So if if

917
00:49:59,719 --> 00:50:01,560
Speaker 1: you pay ten bucks you get all this is this

918
00:50:01,600 --> 00:50:03,360
Speaker 1: is where the office went, is it? It's going to

919
00:50:03,440 --> 00:50:10,560
Speaker 1: be on this not because Netflix. I just don't know what.

920
00:50:10,719 --> 00:50:12,960
Speaker 1: I think we got all this money to give to

921
00:50:13,600 --> 00:50:17,160
Speaker 1: like people don't have health insurance. NBC Like no, that's

922
00:50:17,200 --> 00:50:19,400
Speaker 1: what I think a lot of people who are analyzing

923
00:50:19,400 --> 00:50:21,560
Speaker 1: the markets are looking and be like, I don't know, like,

924
00:50:21,840 --> 00:50:24,319
Speaker 1: is this going to drive people back to cable? It's

925
00:50:24,320 --> 00:50:26,120
Speaker 1: going to reach a point where it's like, if you

926
00:50:26,200 --> 00:50:29,120
Speaker 1: have all of them, you're spending like close to eighty

927
00:50:29,120 --> 00:50:31,440
Speaker 1: bucks a month or some ship, you're spending more like

928
00:50:31,480 --> 00:50:33,560
Speaker 1: you already added up the ones that we have, and

929
00:50:33,640 --> 00:50:37,319
Speaker 1: it's like around dollars if you're paying for all of

930
00:50:37,360 --> 00:50:40,600
Speaker 1: them yourself. Right now, a lot of people are sharing, yeah,

931
00:50:40,640 --> 00:50:41,799
Speaker 1: but my thing was I was like, I just want

932
00:50:41,840 --> 00:50:43,960
Speaker 1: back to cable and I just hit record on whatever

933
00:50:44,000 --> 00:50:46,640
Speaker 1: shows and on my store. I'm like a grandma again

934
00:50:47,080 --> 00:50:49,600
Speaker 1: and I love it. That's my dr no, And I

935
00:50:49,640 --> 00:50:52,920
Speaker 1: think that's what will happen because eventually, right I know,

936
00:50:53,600 --> 00:50:56,720
Speaker 1: Netflix or one of the streaming platforms they're investing heavily

937
00:50:56,719 --> 00:50:59,440
Speaker 1: on trying to figure out how to limit the striminals.

938
00:51:00,200 --> 00:51:03,560
Speaker 1: You know, the real people who share like that. Never

939
00:51:05,640 --> 00:51:09,280
Speaker 1: they'll never stop us. Jail broken, fire sting bitch, probably

940
00:51:09,280 --> 00:51:13,920
Speaker 1: want to get on the VPN. I go, yeah, I

941
00:51:13,960 --> 00:51:16,520
Speaker 1: got that little robot to stop playing with us. Don't

942
00:51:16,800 --> 00:51:20,160
Speaker 1: with us especially. I mean, there's there there will always

943
00:51:20,200 --> 00:51:22,239
Speaker 1: be ways to watch it for free. But I think

944
00:51:22,320 --> 00:51:24,759
Speaker 1: with Netflix though, like they realize you're like, damn, we

945
00:51:24,760 --> 00:51:26,680
Speaker 1: could we could use people for a lot more money

946
00:51:26,840 --> 00:51:28,919
Speaker 1: if we can start being like, oh sorry, this isn't

947
00:51:28,960 --> 00:51:32,600
Speaker 1: in that house. Never will. Sometimes I just steal stuff

948
00:51:32,640 --> 00:51:34,640
Speaker 1: just to steal it. I'd be having the Netflix, I'll

949
00:51:34,640 --> 00:51:36,560
Speaker 1: be having the program. I just still go on my tour.

950
00:51:39,480 --> 00:51:42,960
Speaker 1: You're like, I want to own this MP four. Uh

951
00:51:43,400 --> 00:51:46,920
Speaker 1: real quick. One Million Moms is protesting again, getting in

952
00:51:47,000 --> 00:51:52,000
Speaker 1: the getting those headlines because they are mad that a

953
00:51:52,080 --> 00:51:55,560
Speaker 1: burger King ad is one of the ones where they

954
00:51:55,600 --> 00:51:58,799
Speaker 1: trick people. People think they're eating a whopper. They're eating

955
00:51:58,960 --> 00:52:05,920
Speaker 1: it's impossible. And one guy says, damn that's good, and uh,

956
00:52:05,960 --> 00:52:09,919
Speaker 1: that's what they're up said about. I'm a damn fool. Yeah,

957
00:52:09,960 --> 00:52:12,359
Speaker 1: I mean the fact. So if you remember the last

958
00:52:12,400 --> 00:52:14,200
Speaker 1: time they're in the news is because they were upset

959
00:52:14,280 --> 00:52:17,279
Speaker 1: that the Hallmark channel would dare show a commercial for

960
00:52:17,440 --> 00:52:20,480
Speaker 1: Zola that depicted a lesbian couple being married. They were like,

961
00:52:20,520 --> 00:52:23,360
Speaker 1: what is this? Yeah, and now because they used the

962
00:52:23,440 --> 00:52:27,440
Speaker 1: D word, which is what they call it, the D word,

963
00:52:27,440 --> 00:52:30,160
Speaker 1: they say other D words, it says in this is

964
00:52:30,200 --> 00:52:32,720
Speaker 1: from one Million Moms, their press release. In the burger

965
00:52:32,760 --> 00:52:35,480
Speaker 1: King commercial that is currently airing on TV, customers responses

966
00:52:35,520 --> 00:52:38,240
Speaker 1: are being videoed as a taste test the impossible whopper.

967
00:52:38,480 --> 00:52:41,120
Speaker 1: One man is completely shocked at the burger is not beef,

968
00:52:41,320 --> 00:52:44,319
Speaker 1: so he uses the D word to describe how he

969
00:52:44,360 --> 00:52:48,200
Speaker 1: feels about himself for being deceived by the taste of

970
00:52:48,239 --> 00:52:51,439
Speaker 1: the burger. Huh, well, I had sucked my own dick

971
00:52:55,000 --> 00:52:57,000
Speaker 1: in my mind, Like if I read that on my

972
00:52:57,160 --> 00:53:02,319
Speaker 1: what said, uh, lat me with my own day And

973
00:53:02,360 --> 00:53:05,839
Speaker 1: they said it was quote damaging to impressionable children? Right

974
00:53:06,239 --> 00:53:10,040
Speaker 1: have they seen TikTok? Haven't heard curse words? Also, there

975
00:53:10,080 --> 00:53:12,960
Speaker 1: are children starving, and and I don't like to be

976
00:53:13,040 --> 00:53:14,520
Speaker 1: one of those people who's like, we can't walk and

977
00:53:14,560 --> 00:53:16,640
Speaker 1: chew gum at the same time. But your cause is

978
00:53:16,719 --> 00:53:20,040
Speaker 1: fucking stupid. One million moms go help real children who

979
00:53:20,040 --> 00:53:22,440
Speaker 1: need fucking that's the whole thing. They're not. They're not

980
00:53:22,520 --> 00:53:25,040
Speaker 1: even one million moms. They're aout there like maybe a

981
00:53:25,080 --> 00:53:28,800
Speaker 1: thousand angry conservative white people. Yeah, there are a thousand Karens.

982
00:53:28,920 --> 00:53:32,960
Speaker 1: That's what John need. To Changehall's name to one thousand

983
00:53:33,040 --> 00:53:36,640
Speaker 1: Karen's would actually chill me to my terrified. Could you

984
00:53:36,680 --> 00:53:41,240
Speaker 1: imagine that's way stronger? That actually chills up my spine

985
00:53:41,280 --> 00:53:43,440
Speaker 1: to hear the idea of one thousand cameras. My god,

986
00:53:43,480 --> 00:53:49,279
Speaker 1: everyone's got a blonde short, spiky haircut, like like Kate

987
00:53:49,320 --> 00:53:52,919
Speaker 1: Gosselin back in John plus eight the early days. I'm

988
00:53:53,200 --> 00:53:56,200
Speaker 1: terrified right now. Yeah, could you imagine the one million

989
00:53:56,280 --> 00:54:04,359
Speaker 1: Karen March. That is a nightmare. That's Jordan Peele's next movie.

990
00:54:04,560 --> 00:54:09,320
Speaker 1: That's your next movie. You're welcome one million Karen Jesus,

991
00:54:09,840 --> 00:54:12,520
Speaker 1: that's such a waste of our time and resources, like,

992
00:54:12,640 --> 00:54:16,839
Speaker 1: shut up. Yeah. And they also are huge Trump supporters,

993
00:54:16,880 --> 00:54:20,040
Speaker 1: who says damn all the time, and they don't care

994
00:54:20,080 --> 00:54:23,640
Speaker 1: when he says he said God damn. Yeah, he says damn,

995
00:54:23,800 --> 00:54:27,520
Speaker 1: he curses, he talks about grabbing women by the pussy

996
00:54:27,719 --> 00:54:29,680
Speaker 1: and you don't care about that, but you care about

997
00:54:29,680 --> 00:54:32,480
Speaker 1: the D word in a damn commercial. Yeah, they need something.

998
00:54:32,600 --> 00:54:36,360
Speaker 1: The last time anybody was worried about the word damn

999
00:54:36,520 --> 00:54:42,120
Speaker 1: in pop culture was nine with Gone with the Wind.

1000
00:54:42,600 --> 00:54:45,480
Speaker 1: Oh oh, because he says quite frankly, my dear, I

1001
00:54:45,520 --> 00:54:47,560
Speaker 1: don't give a damn or something. Yeah, they tried to

1002
00:54:47,560 --> 00:54:50,520
Speaker 1: make him say frankly, my dear, I don't care. Oh

1003
00:54:50,760 --> 00:54:55,479
Speaker 1: that's time. That would have the whole movie. Frankly, my dear,

1004
00:54:55,760 --> 00:55:01,759
Speaker 1: I don't care. Yeah. Meanwhile, they're war moms who are

1005
00:55:01,840 --> 00:55:05,920
Speaker 1: occupying a Bay Area house to protest housing the housing

1006
00:55:05,960 --> 00:55:09,719
Speaker 1: crisis there and got arrested and are being you know,

1007
00:55:10,120 --> 00:55:12,839
Speaker 1: real ones. They're there are moms who are actually doing

1008
00:55:12,840 --> 00:55:17,319
Speaker 1: good ships, so let's pay attention to them. And yeah,

1009
00:55:17,840 --> 00:55:22,120
Speaker 1: uh and finally, robots are maybe going to decide what

1010
00:55:22,280 --> 00:55:26,040
Speaker 1: movies get made at Warner Brothers. I think robots already

1011
00:55:26,080 --> 00:55:31,560
Speaker 1: are deciding what movies. Yeah, basically there, Yeah, they're they're

1012
00:55:31,600 --> 00:55:35,640
Speaker 1: teaming up with a company called Sinalytic, which is an

1013
00:55:35,640 --> 00:55:40,680
Speaker 1: AI startup. Okay, and essentially they will help studios sort

1014
00:55:40,719 --> 00:55:44,239
Speaker 1: through pitches and predict what will be profitable and what

1015
00:55:44,360 --> 00:55:48,520
Speaker 1: changes they could make to make existing projects more profitable.

1016
00:55:48,719 --> 00:55:51,080
Speaker 1: This is what happens when you just refuse to allow

1017
00:55:51,160 --> 00:55:55,200
Speaker 1: any diversity and decision making processes. Oh, white men are like, well,

1018
00:55:55,200 --> 00:56:00,000
Speaker 1: clearly we've been doing something wrong. Should we ask the Browns? No, No,

1019
00:56:00,200 --> 00:56:03,279
Speaker 1: robots A robot Literally, if we're at the end of

1020
00:56:03,280 --> 00:56:07,160
Speaker 1: our ladder in our creative industry, we will go get

1021
00:56:07,200 --> 00:56:10,120
Speaker 1: a robot. Like literally they were talking about with the

1022
00:56:10,200 --> 00:56:12,680
Speaker 1: example of Robert Downy Jr. When he first started doing

1023
00:56:12,719 --> 00:56:15,680
Speaker 1: Iron Man, he was like someone who had just fallen off.

1024
00:56:15,680 --> 00:56:17,720
Speaker 1: He had recently been in jail, he hadn't been working,

1025
00:56:17,760 --> 00:56:20,640
Speaker 1: he was an addict, and the robots would not have

1026
00:56:20,719 --> 00:56:22,880
Speaker 1: chosen him to be Tony Star. No exactly. And I

1027
00:56:22,920 --> 00:56:26,160
Speaker 1: think that's the point that our writer Jam was making too.

1028
00:56:26,239 --> 00:56:28,600
Speaker 1: It's like, there's so many flaws to this kind of thinking.

1029
00:56:28,640 --> 00:56:31,000
Speaker 1: I mean, just to give you an example, right, they

1030
00:56:31,719 --> 00:56:35,720
Speaker 1: Synalytic also told people to actually make that Playmobile movie

1031
00:56:36,000 --> 00:56:39,680
Speaker 1: which bombed epically. Synalytics told them to do that. They

1032
00:56:39,680 --> 00:56:43,400
Speaker 1: said that was a winner. Okay, so that shows you, Okay,

1033
00:56:43,520 --> 00:56:45,760
Speaker 1: you want to double down on them, right? It seems

1034
00:56:45,760 --> 00:56:47,839
Speaker 1: like they've got good instincts, like I don't know, man,

1035
00:56:47,880 --> 00:56:49,840
Speaker 1: that Jerome has been putting out really great ideas and

1036
00:56:49,880 --> 00:56:51,680
Speaker 1: a lot of his smaller projects are doing. No, we're

1037
00:56:51,680 --> 00:56:54,239
Speaker 1: not listening to Jerome, but we are too deep to

1038
00:56:54,320 --> 00:56:58,000
Speaker 1: fire up the apps, like what the funk are they doing?

1039
00:56:58,239 --> 00:57:00,000
Speaker 1: And I think you know, so they also would have

1040
00:57:00,000 --> 00:57:01,799
Speaker 1: will do is put things like you know, you could

1041
00:57:01,840 --> 00:57:05,960
Speaker 1: switch out like actors too, so you can say, potentially, Okay,

1042
00:57:06,000 --> 00:57:09,880
Speaker 1: maybe I want to make this movie with Jennifer Lawrence,

1043
00:57:09,920 --> 00:57:12,359
Speaker 1: but what would it look like if I put in

1044
00:57:12,520 --> 00:57:16,680
Speaker 1: maybe Emma Watson? Like what happens? Then? So I mean

1045
00:57:16,720 --> 00:57:20,520
Speaker 1: like any AI thing. It's just it's built on existing data,

1046
00:57:20,560 --> 00:57:23,960
Speaker 1: so it doesn't take into account progress, right, you know

1047
00:57:23,960 --> 00:57:26,560
Speaker 1: what I mean, it's it's it's it's basically using what

1048
00:57:26,720 --> 00:57:29,880
Speaker 1: has happened to predict the future. And for something like

1049
00:57:29,920 --> 00:57:32,960
Speaker 1: this in our shifting like media appetites and as you know,

1050
00:57:33,960 --> 00:57:38,240
Speaker 1: hopefully the uptick of diversity representation and media continues, it's

1051
00:57:38,280 --> 00:57:39,840
Speaker 1: not going to be able to account for that right

1052
00:57:40,000 --> 00:57:42,160
Speaker 1: at all. And also like it doesn't account for the

1053
00:57:42,160 --> 00:57:45,480
Speaker 1: fact that Hollywood has manufactured a lot of our modern

1054
00:57:45,520 --> 00:57:47,720
Speaker 1: day A list celebrities because it doesn't happen like it

1055
00:57:47,920 --> 00:57:49,960
Speaker 1: used to. Like, yeah, it was manufactured in the past,

1056
00:57:50,160 --> 00:57:52,560
Speaker 1: but now I feel like because people have social media

1057
00:57:52,560 --> 00:57:54,440
Speaker 1: and they have their own ways of like reaching out

1058
00:57:54,440 --> 00:57:57,000
Speaker 1: to people, how they would really had to push people

1059
00:57:57,080 --> 00:57:59,800
Speaker 1: on us for us to take to them. Uh So

1060
00:58:00,040 --> 00:58:02,360
Speaker 1: I feel like that it doesn't account for fatigue with

1061
00:58:02,480 --> 00:58:04,960
Speaker 1: people even if they are really famous or have like

1062
00:58:05,120 --> 00:58:08,280
Speaker 1: a lot of star meter points or followers. Like It's

1063
00:58:08,480 --> 00:58:11,919
Speaker 1: that is absolutely assinine, I mean, and like I can

1064
00:58:11,920 --> 00:58:14,640
Speaker 1: only imagine what it'll do to continue the like lack

1065
00:58:14,840 --> 00:58:19,000
Speaker 1: of like uh you know, female directors or female written

1066
00:58:19,080 --> 00:58:21,400
Speaker 1: scripts and things like that it's because again, it's just

1067
00:58:21,640 --> 00:58:24,760
Speaker 1: it's only taking into account the like the misogynistic history

1068
00:58:24,800 --> 00:58:28,080
Speaker 1: of the industry to make decisions. Um. And I think

1069
00:58:28,080 --> 00:58:32,080
Speaker 1: like when you look also to like movies like Shawshank Redemption,

1070
00:58:32,560 --> 00:58:34,960
Speaker 1: that ship did not do well, and I wonder what

1071
00:58:35,000 --> 00:58:37,360
Speaker 1: the AI thing would have thought then. But it's in

1072
00:58:37,400 --> 00:58:40,640
Speaker 1: it's after its release, became one of the biggest films. Yeah,

1073
00:58:40,680 --> 00:58:44,400
Speaker 1: and it's getting like fed into the the algorithm as

1074
00:58:44,520 --> 00:58:47,800
Speaker 1: like a loser probably right right, right right, that's the

1075
00:58:47,880 --> 00:58:51,880
Speaker 1: data that you don't want to I don't think art

1076
00:58:51,880 --> 00:58:55,680
Speaker 1: has ever functioned that way. No, you can only predict

1077
00:58:55,680 --> 00:58:58,480
Speaker 1: things to a certain extent. I think, if anything, it

1078
00:58:58,520 --> 00:59:02,680
Speaker 1: could be that it's probably better at predicting what won't

1079
00:59:02,680 --> 00:59:05,520
Speaker 1: do well. And even then there's obviously flaws in that

1080
00:59:05,880 --> 00:59:08,920
Speaker 1: more than a tool that would help lazy ass development

1081
00:59:08,960 --> 00:59:11,520
Speaker 1: executives read a fucking script, maybe go out in the

1082
00:59:11,560 --> 00:59:14,000
Speaker 1: world and get an idea of what people are into,

1083
00:59:14,720 --> 00:59:16,760
Speaker 1: because I think that's all that's what It just seems

1084
00:59:16,800 --> 00:59:20,880
Speaker 1: so lazy, like like you're saying lazy like rather than

1085
00:59:21,320 --> 00:59:24,880
Speaker 1: you know, high changing the what the look of development

1086
00:59:25,000 --> 00:59:28,240
Speaker 1: departments look like. Yeah, are getting like a accurate representation

1087
00:59:28,400 --> 00:59:31,400
Speaker 1: of the entire country because I sometimes I used to

1088
00:59:31,440 --> 00:59:33,920
Speaker 1: think like network executives were really stupid, But then I

1089
00:59:33,960 --> 00:59:36,479
Speaker 1: also realized that, like they have to be a little

1090
00:59:36,480 --> 00:59:38,960
Speaker 1: bit behind because that's where most of the country is.

1091
00:59:39,040 --> 00:59:41,800
Speaker 1: So l A moves much quicker. New York moves much quicker.

1092
00:59:41,880 --> 00:59:45,080
Speaker 1: So the things that we you know, are on are

1093
00:59:45,080 --> 00:59:47,000
Speaker 1: talking about, or even the language that we use is

1094
00:59:47,000 --> 00:59:49,400
Speaker 1: not necessarily caught up to the general populace. So I

1095
00:59:49,520 --> 00:59:51,720
Speaker 1: understand why they are old and a little out of touch,

1096
00:59:51,760 --> 00:59:54,280
Speaker 1: and it kind of helps us reach everybody, but to

1097
00:59:54,360 --> 00:59:56,920
Speaker 1: a certain extence. Like you guys are out of touch,

1098
00:59:57,000 --> 01:00:00,520
Speaker 1: just hire people who are in touch. Hey, but I mean,

1099
01:00:00,560 --> 01:00:02,960
Speaker 1: I guess if this takes their jobs, then so be it.

1100
01:00:03,040 --> 01:00:05,080
Speaker 1: Right they at a certain point, like you think you

1101
01:00:05,160 --> 01:00:07,920
Speaker 1: do their job better than them. Yeah, I mean, I'm

1102
01:00:07,960 --> 01:00:09,920
Speaker 1: based on the kind of ship you see now, I mean,

1103
01:00:09,960 --> 01:00:18,479
Speaker 1: I guess it will help them office just here, people, Yeah,

1104
01:00:18,720 --> 01:00:21,560
Speaker 1: let go, Sorry you had to find out like this,

1105
01:00:22,800 --> 01:00:26,360
Speaker 1: it's just a laptop and leave us up your badge. Yeah,

1106
01:00:27,120 --> 01:00:31,560
Speaker 1: you get fired by the laptop. They're like, okay, Terry

1107
01:00:31,560 --> 01:00:35,120
Speaker 1: will now escort you off the property. Please do not

1108
01:00:35,200 --> 01:00:41,600
Speaker 1: make a scene. Yeah, Terry. I'm sorry. I didn't want

1109
01:00:41,600 --> 01:00:45,240
Speaker 1: you to find out like this, lazy. It's a bit

1110
01:00:45,280 --> 01:00:49,040
Speaker 1: of pleasure having you. Where can people find you? Follow you? Guys.

1111
01:00:49,120 --> 01:00:50,880
Speaker 1: You can find me a d I V A l

1112
01:00:50,920 --> 01:00:53,560
Speaker 1: A C I DVA Lacey on all platforms. You can

1113
01:00:53,560 --> 01:00:57,200
Speaker 1: listen to my podcast Scam Goddess. Um. Yeah, if you

1114
01:00:57,200 --> 01:00:59,720
Speaker 1: have some scams, you can email us Gmail dot com.

1115
01:01:00,840 --> 01:01:02,800
Speaker 1: I'm on Single Parents right now. I'll be back on

1116
01:01:02,840 --> 01:01:05,480
Speaker 1: Single Parents this season. That's super fun. So watch that

1117
01:01:05,520 --> 01:01:08,680
Speaker 1: show if you like it. Uh. Florida Girls season two, Uh,

1118
01:01:08,720 --> 01:01:10,480
Speaker 1: I know you guys, keep asking. We're going back to

1119
01:01:10,480 --> 01:01:13,400
Speaker 1: shoot in March. So many months after that you will

1120
01:01:13,440 --> 01:01:18,440
Speaker 1: have another seaton. Okay, you guys shoot in Florida. Uh No,

1121
01:01:18,520 --> 01:01:21,800
Speaker 1: we should in Savannah and then March. Better call Saul.

1122
01:01:22,040 --> 01:01:27,240
Speaker 1: I'll be get starting on that episode back before Mary.

1123
01:01:29,480 --> 01:01:32,320
Speaker 1: Is there a tweet or some other act of social

1124
01:01:32,360 --> 01:01:35,880
Speaker 1: media that you've been enjoying? A tweet that I've been enjoying.

1125
01:01:35,880 --> 01:01:37,760
Speaker 1: I'm so sorry to the author of this because I

1126
01:01:37,760 --> 01:01:41,480
Speaker 1: couldn't find it, so I am going to paraphrase. But um, so, guys,

1127
01:01:42,160 --> 01:01:45,480
Speaker 1: if you lost your significant other in another country and

1128
01:01:45,560 --> 01:01:49,120
Speaker 1: you searched for hours with the authorities until they told

1129
01:01:49,160 --> 01:01:51,439
Speaker 1: you to go home for the night. Would you still

1130
01:01:51,480 --> 01:02:06,400
Speaker 1: do your skincare routine? Was like right? I think Like

1131
01:02:06,440 --> 01:02:08,760
Speaker 1: one of the funniest images is like somebody who's like

1132
01:02:09,120 --> 01:02:12,240
Speaker 1: just found out horrible news and it's just like bawling openly,

1133
01:02:12,360 --> 01:02:16,320
Speaker 1: but like they're still eating a meatball sub because she's

1134
01:02:16,320 --> 01:02:20,800
Speaker 1: still gotta eat, but they're like crying and eating a

1135
01:02:20,920 --> 01:02:26,680
Speaker 1: large sandwich. There you go. Studio exacts the whole movie.

1136
01:02:26,960 --> 01:02:30,560
Speaker 1: Uh comeles Where can people find you? On Twitter? Instagram

1137
01:02:30,560 --> 01:02:33,480
Speaker 1: at Miles of Gray. Also on the other podcast for

1138
01:02:33,560 --> 01:02:37,680
Speaker 1: twenty Day Fiance, we're talking about you do fiance. Uh.

1139
01:02:37,720 --> 01:02:42,480
Speaker 1: Some tweets I like, uh to sex based ones? Okay,

1140
01:02:42,560 --> 01:02:45,280
Speaker 1: so look, if you got sensitive ears, plug them or

1141
01:02:45,360 --> 01:02:49,200
Speaker 1: just you know, skip ahead thirty seconds. First one is

1142
01:02:49,320 --> 01:02:52,959
Speaker 1: from uh Harper Rose, who was a guest last week.

1143
01:02:54,040 --> 01:02:56,480
Speaker 1: She tweeted, my favorite part of having sex with my

1144
01:02:56,560 --> 01:02:59,000
Speaker 1: boyfriend is waiting for his seventeen roommates to go to

1145
01:02:59,040 --> 01:03:01,160
Speaker 1: bed so I can march my come drenched body to

1146
01:03:01,240 --> 01:03:04,520
Speaker 1: their shared single bathroom and hover over a pube covered toilet.

1147
01:03:07,680 --> 01:03:12,840
Speaker 1: Oh that was some college ship, Oh my goodness. And

1148
01:03:12,920 --> 01:03:15,760
Speaker 1: also Erica at E R R I I I C

1149
01:03:16,000 --> 01:03:19,560
Speaker 1: A A uh. Um, she said, a guy will never

1150
01:03:19,680 --> 01:03:22,200
Speaker 1: give you an actual massage. It's always two minutes of

1151
01:03:22,280 --> 01:03:24,880
Speaker 1: lightly scratching your back in one small spot and then

1152
01:03:24,920 --> 01:03:32,880
Speaker 1: trying to take your top off. Uh. You can find

1153
01:03:33,040 --> 01:03:38,240
Speaker 1: me on Twitter at Jack Underscore O'Brien alright, keeping in

1154
01:03:38,520 --> 01:03:41,760
Speaker 1: that mode. At ninety seven, Chetty tweeted, imagine tickling your

1155
01:03:41,760 --> 01:03:48,440
Speaker 1: girl and she starts giggling like Seth Rogan. Uh. Uh,

1156
01:03:49,000 --> 01:03:52,400
Speaker 1: that's a little terrified. And then a tweet from Eli

1157
01:03:52,880 --> 01:03:57,080
Speaker 1: uh exclamation three exclamation points tweeted looking forward to Biden

1158
01:03:57,160 --> 01:03:59,240
Speaker 1: care where no matter what's wrong with you, he just

1159
01:03:59,280 --> 01:04:04,320
Speaker 1: sort of rubbed your ankles and smiles. And then Kno

1160
01:04:04,320 --> 01:04:06,760
Speaker 1: O'Brien tweeted, who's asked, do I have to kiss to

1161
01:04:06,920 --> 01:04:11,600
Speaker 1: kiss an ass around here? Uh. You can find us

1162
01:04:11,640 --> 01:04:13,760
Speaker 1: on Twitter at dailies that guys were at d dailies

1163
01:04:13,800 --> 01:04:16,040
Speaker 1: like guys on Instagram. We have a Facebook fan page

1164
01:04:16,080 --> 01:04:18,240
Speaker 1: on a website Daily's like guys dot com, where you

1165
01:04:18,360 --> 01:04:21,840
Speaker 1: post our episodes and our footnote where we link off

1166
01:04:21,840 --> 01:04:25,000
Speaker 1: to the information that we talked about in today's episode,

1167
01:04:25,080 --> 01:04:28,240
Speaker 1: as well as the song we right out on Miles

1168
01:04:28,480 --> 01:04:31,440
Speaker 1: was not going to be. But since the impeachment is beginning,

1169
01:04:31,880 --> 01:04:34,680
Speaker 1: I just want to play a song to dedicated to

1170
01:04:34,720 --> 01:04:37,720
Speaker 1: the President. It's called You Are a Danger. Uh and

1171
01:04:37,760 --> 01:04:41,280
Speaker 1: it's by Hey, that guy Gary Lowe, the fake American

1172
01:04:41,400 --> 01:04:45,080
Speaker 1: artist who was actually Italian Spaniard from Europe doing his

1173
01:04:45,160 --> 01:04:48,360
Speaker 1: like old eighties tracks. Uh. This one is just, you know,

1174
01:04:48,440 --> 01:04:50,760
Speaker 1: just some nostalgia because I have a feeling in the

1175
01:04:50,960 --> 01:04:53,200
Speaker 1: next couple of weeks we're gonna get pretty weird again.

1176
01:04:53,600 --> 01:04:56,200
Speaker 1: So let's just, you know, let's just try and wipe

1177
01:04:56,200 --> 01:04:59,720
Speaker 1: our minds clean with this bit of electronic electro eighties

1178
01:04:59,720 --> 01:05:03,840
Speaker 1: trad Yeah, or eatasy school, as they said, eat a

1179
01:05:03,880 --> 01:05:08,120
Speaker 1: whole bottle of nostalgia. Oh Watchman reference. He's not coming

1180
01:05:08,120 --> 01:05:10,880
Speaker 1: back for a second season, I know, which is great. Yeah.

1181
01:05:10,920 --> 01:05:17,160
Speaker 1: I think a perfect perfect self perfect season perfect. The

1182
01:05:17,400 --> 01:05:19,720
Speaker 1: Daily Zeygeist is a production of My Heart Radio. For

1183
01:05:19,800 --> 01:05:22,600
Speaker 1: more podcasts for my Heart Radio, visit the heart Radio app,

1184
01:05:22,880 --> 01:05:25,840
Speaker 1: Apple Podcasts, or wherever you list your favorite shows. That's

1185
01:05:25,880 --> 01:05:28,120
Speaker 1: going to do it for this morning. We will be

1186
01:05:28,120 --> 01:05:32,640
Speaker 1: back this afternoon with some trending stories, and then tomorrow

1187
01:05:32,640 --> 01:05:37,120
Speaker 1: with more podcasts. We'll talk to you that by thank you. Then,

1188
01:05:38,360 --> 01:05:42,600
Speaker 1: oh you'll think you'll capule me far round while you

1189
01:05:42,800 --> 01:05:49,560
Speaker 1: let you be changing that we shou'll see here time

1190
01:05:50,480 --> 01:06:01,520
Speaker 1: same to be sorry, show no shine adding worry. Be

1191
01:06:01,920 --> 01:06:10,360
Speaker 1: that nation m