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

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Speaker 1: of Dear Daily is eight guys for February two th eighteen.

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Speaker 1: My name is Jack O'Brien. A K. I wish you

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Speaker 1: would step back, even in I wish you would step

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Speaker 1: Jack from that ledge, my friend under stand, all right?

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Speaker 1: Problematic and I am joined as always by my co host,

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Speaker 1: Mr Miles Gray. Yes, and this is a little bit

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Speaker 1: of an esoteric a K. But as many of you know,

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Speaker 1: I like Adam Sandler comedy movies, probably anything after Big

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Speaker 1: or No. Okay, let's just cut this part out. Okay,

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Speaker 1: so my funk up leaves. I guess we're just eating

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Speaker 1: time anyway. Long story short, as your boy, Miles, a K.

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Speaker 1: A is Nudy Magazine. Great, Nudy magazine. Great. That's from

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Speaker 1: one of my favorite snilon movies, Billy Madison, and that

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Speaker 1: a K comes from Andy Sculling. Sculling, you did your

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Speaker 1: due diligence and noticed that I'm a fan of the

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Speaker 1: Seamle Flick, So kudos to you, and we are thrilled

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Speaker 1: to be joined in our third seats by the hilarious

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Speaker 1: performer and comic artist. I guess it would be a

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Speaker 1: way to say that on a sealinas I'm so excited

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Speaker 1: to be here, We're so excited to have you. I

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Speaker 1: was told to plug my comic when I say hello,

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Speaker 1: So it's bad comics. What do we do that at

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Speaker 1: the end? But yes, no, yes, we love your back.

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Speaker 1: Comics go on, go on and on, but they exist

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Speaker 1: on Instagram and that's it, their web comics. Bad comics

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Speaker 1: by on it very funny. Yeah, when did you start that?

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Speaker 1: I drew my first comic I think four years ago,

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Speaker 1: after I got out of a relationship. I like doodled

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Speaker 1: a stick figure on a piece of printer paper and

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Speaker 1: she's like flying through the cloud of anxiety and depression

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Speaker 1: and remorse since madness and general shittiness, and then she

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Speaker 1: flies out and she's like puff. And then I posted

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Speaker 1: that on Instagram, and apparently my ex boyfriend saw it,

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Speaker 1: felt deeply hurt by it, and was deeply hurt by

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Speaker 1: it for like a year, no for longer, and then

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Speaker 1: he called me like a year later it was like,

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Speaker 1: you know, when you posted that, it's just really hurt Okay,

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Speaker 1: but yeah, yeah, because I guess it was implying that

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Speaker 1: I was unhappy in the relationship. But like da did

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Speaker 1: you write up with him? Uh? Well no, so if

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Speaker 1: he can't like your cartoon, really yeah, it was one

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Speaker 1: of those things were like, we weren't doing well and

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Speaker 1: I should have ended things well. At least you know,

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Speaker 1: Tom Cruise is doing well now. So what is something

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Speaker 1: from your search history that revealing about who you are? Okay?

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Speaker 1: So one of the big things that I have googled

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Speaker 1: recently is Rachel McAdams because someone named Edgar mom pleas

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Speaker 1: here made the claim that Rachel McAdams left being a

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Speaker 1: rom com star to go be an action star. M

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Speaker 1: Egar mom plas Here, who we know here on this podcast,

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Speaker 1: has some hot tapes, always stand up to scrutiny. He

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Speaker 1: has one third of the culture Kings and on can

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Speaker 1: we can we tell people that you you you are

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Speaker 1: familiar with Edgar as well? We are dating? You're dating? Okay? Yeah,

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Speaker 1: so that's out there? Exclusive? Exclusive? Is that exclusive? So? Wait? Wait?

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Speaker 1: What's his evidence to say that one movie Red Eye?

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Speaker 1: Red Eye? The movie Red Red Eye with Killey and Murphy,

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Speaker 1: And I was like, first of all, fair, you know

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Speaker 1: that's an action movie. She did do it the same

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Speaker 1: year that she did wedding Crashers Okay, but that's insane,

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Speaker 1: and she was sort of like a damsel in distress.

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Speaker 1: I mean she did like some bad stuff in that,

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Speaker 1: but it wasn't necessarily like she was Bruce Willison die

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Speaker 1: Hard or anything. She stabbed him with a pen like, okay, wow,

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Speaker 1: a big deal. I mean I would have been more

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Speaker 1: open to him saying true Detective Season two would have

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Speaker 1: been like her turn as a badass action star because

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Speaker 1: there she was a badass and could like take do that.

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Speaker 1: She was and fair. She has done badass things, but

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Speaker 1: I think she just was like I want to be

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Speaker 1: a serious actress or to claim that it's like and

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Speaker 1: you know she left she Angelina Jolie. No. Alright, So

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Speaker 1: what is underrated besides your boyfriends? Takes? Okay for tatas, Okay,

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Speaker 1: here me out. I don't disagree with a lot of

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Speaker 1: people when they have a lot of eggs, makes scrambled

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Speaker 1: eggs or omelets. But I recently got into making for tatas.

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Speaker 1: They're very simple, they're very good. It's a great ac

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Speaker 1: It's like a keish but less work. So number one

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Speaker 1: underrated for tattis and they're good for you. You don't

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Speaker 1: have to use the yokes. Oh, I could go on forever,

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Speaker 1: but they're very good. Please Okay. Another thing is Sweden's Twitter,

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Speaker 1: really Swedish Twitter sweet well, specifically the Twitter of the

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Speaker 1: country of Sweden. Oh, like they have a different thing

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Speaker 1: that isn't called Twitter. No no, no, it is their

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Speaker 1: Twitter account. It is the most delightful Twitter you will

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Speaker 1: ever see. It's like, I guess, loosely associated with their

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Speaker 1: tourism board. So it's all like super happy but the

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Speaker 1: worst stuff can be going on in the world, as

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Speaker 1: it always is. And their Twitter is like in Swedish

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Speaker 1: when you have coffee and a pastry it's called fica.

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Speaker 1: Go on a fica today, and it's all pictures of

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Speaker 1: the woods and beautiful people smiling. It's just it makes

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Speaker 1: you feel better. And I guess you could read into

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Speaker 1: it and think this is bad because they're not addressing

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Speaker 1: the bad things in the world. Is that at Sweden? Sweden?

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Speaker 1: That's exactly okay, got you hedge? Welcome to Sweden's official

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Speaker 1: account on Twitter. Hedges apparently how they spell hey where

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Speaker 1: they're just type of written and not even trying. No,

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Speaker 1: it's it's okay. So I'm half Swedish, so I speak Swedish. Okay, yeah,

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Speaker 1: why did the pronunciation there, not even remotely. It's just

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Speaker 1: me Sweden. It's they don't actually speak Swedish, they spake

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Speaker 1: with heavy Swedish occasionally become the Swedish chef On says

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Speaker 1: yes for the Muppets. That's the one, the Muppets. What

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Speaker 1: what's something you think is overrated? Besides my boyfriend's take,

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Speaker 1: this is a really hot take. Oh ship, Okay, let

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Speaker 1: me open the window, but I please do. It's going

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Speaker 1: to heat up. Bruno Mars, oh ship, that's take. That's

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Speaker 1: pretty standard year. Okay, here's my take on Brunal Mars.

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Speaker 1: He's a copy. Yeah, there's nothing new about what he's doing.

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Speaker 1: All of his sounds have been done. Yeah. See, I

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Speaker 1: feel like this is you think this is a hot

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Speaker 1: you take it is because you spend so much time

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Speaker 1: with Edgar, who believes that Bruno Mars is the next

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Speaker 1: Michael Jack Right. That's stretched for me. Yeah, yeah, you've

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Speaker 1: just been gas lit by Edgar's weird as. Yeah. The

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Speaker 1: best take on that was after the Grammy's I think

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Speaker 1: one of the dudes of the Fleet Foxes called him

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Speaker 1: the toys rs Gap band, which was that is a

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Speaker 1: fire take off. I love that though. But yeah, I

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Speaker 1: mean you can't deny that he's a great performer. He

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Speaker 1: can sing, his songs are catchy, but he's not liked

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Speaker 1: Jones put him in there is one of the good

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Speaker 1: songwriters that's out here. Yeah, Kendrick uh Bruno, mars people.

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Speaker 1: He's a great great answer. Yeah, yeah, yeah, But is

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Speaker 1: he the next Michael Like, he's not. He's not an originator,

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Speaker 1: He's just doing he just does what he does very well.

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Speaker 1: That would you have been a better choice for that

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Speaker 1: super Bowl halftime? Yeah, of course he's like Tim duncan

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Speaker 1: you know what I mean? He did put on a

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Speaker 1: fun super Bowl halftime show. He did. Yeah, and uh

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Speaker 1: justin Timberlake did not. I don't know. It seems like

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Speaker 1: people are having fun in the room. You were at

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Speaker 1: my house as well. We had fun. People had fun

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Speaker 1: because we were just kind of vibing to the music

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Speaker 1: that I was playing out loud, and just I think

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Speaker 1: we're all just in a good mood. I think if

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Speaker 1: I were actually just sitting watching it, like as an

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Speaker 1: audience member, and I was just excited because I thought

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Speaker 1: he was wearing my Jordan's but he was not very different. Yeah,

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Speaker 1: all right, let's get into format. We are trying to

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Speaker 1: take a sample of what people are thinking and talking

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Speaker 1: about right now, and the way we like to open

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Speaker 1: that up is by asking you on a what is

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

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Speaker 1: you based on your personal experience? No, not to be true? Okay.

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Speaker 1: My two myths are a little political. The first one

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Speaker 1: is I know a lot of people who went to

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Speaker 1: Cuba recently uh as a vacation, and I keep hearing

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Speaker 1: this thing that like, Cuba is this untouched paradise and

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Speaker 1: people want to go to Cuba while it's still undisturbed

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Speaker 1: and untouched. And I think that's a trash thing to say.

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Speaker 1: I am half Cuban and Cuba is riddled by poverty

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Speaker 1: and corruption, and to say you want to get there

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Speaker 1: before America destroys it is crazy, right, Like it's already

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Speaker 1: being destroyed. Like travel hipsters in America are people who

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Speaker 1: are like, you have to go there before like all

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Speaker 1: the tourists go or whatever, and like, yeah, and it's true,

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Speaker 1: like you, I have a friend who is very much

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Speaker 1: into Cuban drumming and does like all the arishas and

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Speaker 1: things like that. He's like, and he's going to Cuban

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Speaker 1: many times, and his takeaway was, yeah, like in the

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Speaker 1: certain areas like that, But of course there's an entire country,

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Speaker 1: and I think most people just focus on like Havanna

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Speaker 1: or things like that. Yeah, like, oh, it's great they

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Speaker 1: drive old cars. And if I have to see another

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Speaker 1: person posing in front of an old car, granted I

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Speaker 1: did do when I was there. I just want to

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Speaker 1: qualify that because it's on the internet. But those hipster photos. Now,

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Speaker 1: I think I don't have to go to Cuba because

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Speaker 1: I saw The Last Fast and the Furious accurate. Okay,

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Speaker 1: you know everything about the culture based on that movie.

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Speaker 1: I did not see it. Uh, there's my Cuban card.

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Speaker 1: You can take it back. Yeah, I gained it when

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Speaker 1: I went to Cuba and I just lost. You gained

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Speaker 1: it when you took the photo in front of it.

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Speaker 1: Wait a minute, that's Cuban. Here you go. You are

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Speaker 1: wanted to present Cuban. Yeah, all right. We have so

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Speaker 1: many stories to get it into, like the fact that

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Speaker 1: Apple employees keep running into the glass walls at their

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Speaker 1: new headquarters. Uh, there's really nothing to say about that

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Speaker 1: other than that that's just a good thing to know

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Speaker 1: and like have in your mind. The new Spaceship, Yeah,

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Speaker 1: the new Spaceship is apparently like as you would expect

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Speaker 1: of an Apple designed Steve Job design. It's like seamless. Yeah,

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Speaker 1: there's literally no creases, no nothing. So people are just

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Speaker 1: like walking into glass walls constantly because you can't see them,

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Speaker 1: Like I think, I think it's an indication that Apple

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Speaker 1: has gone too far Banana, you know what I mean? Like,

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Speaker 1: is that new iPhone with the no button? Is that great? Yeah,

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Speaker 1: it's fine. Miles went out and got it, chased the herd,

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Speaker 1: chase the dragon. Yeah, a bunch of sheeple. Yeah. It

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Speaker 1: is kind of crazy though, because it was apparently like

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Speaker 1: a failed phone in terms of like sales numbers. But

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Speaker 1: Apple then was like, but we had our most successful

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Speaker 1: quarter ever because we just you know, charged people a

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Speaker 1: thousand dollars for it and we made so so much money.

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Speaker 1: So yeah, they deserved those stupid walls. I hope every

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Speaker 1: employee there is running into them, as if those people

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Speaker 1: aren't stressed out enough. Like I have friends who like

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Speaker 1: know people that work at Apple, like in engineering, and

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Speaker 1: it's like the most stressful environment. To couple that with

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Speaker 1: invisible walls, like their head is always down they're reading something.

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Speaker 1: Oh that sounds terrible. Yeah, I've heard. I've heard the

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Speaker 1: same thing. Amazon is like a brutal place to work. Yeah.

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Speaker 1: People out at each other and start cryingorious being like

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Speaker 1: I need the phone to be this big, and engineers

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Speaker 1: to be like that's impossible, and he's like, do it,

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Speaker 1: or I will find people that can. First, the first iPhone,

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Speaker 1: he announced it and like showed people it. It could

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Speaker 1: only do the three things that he showed them doing.

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Speaker 1: It was like stuffed with newspaper basically, like it did

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Speaker 1: not work. He was just like, and that's what it's

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Speaker 1: going to happen, literally that Silicon Valley. Yeah, exactly, that's

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Speaker 1: what happens. So that's terrifying. All right, down to uh

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Speaker 1: kind of the big news stories. We're still talking about

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Speaker 1: the Florida shooting. Um, and there are two kind of

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Speaker 1: big stories. One uh that FBI was like yeah, our bad. Um.

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Speaker 1: So we were talking yesterday about how there was a

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Speaker 1: YouTube comment apparently about this guy or by this guy,

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Speaker 1: and somebody reported it and was like he should look

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Speaker 1: into him because the comment was I'm going to be

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Speaker 1: a professional. Uh school shooter. Uh, And I thought that's

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Speaker 1: what this was about them saying our bad but no,

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Speaker 1: somebody had contacted the FBI in January and specifically said,

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Speaker 1: I think he's planning a school shooting, like he is

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Speaker 1: going to shoot up the place, and the FBI just

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Speaker 1: didn't pass it on to the field officers in in

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Speaker 1: the Miami area. So that's a fucking bummer. Yeah, it's

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Speaker 1: an spectacular failure to follow through will on protocol on

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Speaker 1: that thing, because it was like their open tip line

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Speaker 1: where people can just concern people can contact that FBI

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Speaker 1: with tips like that. And I mean clearly the FBI

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Speaker 1: has some you know, internal investigating to do to sort

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Speaker 1: how this happened. But still you think now more than ever,

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Speaker 1: they would be following up on school shooting tips because

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Speaker 1: it's like, right, they're definitely gonna keep happening. Who knows

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Speaker 1: what the process is, how many things like this they get,

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Speaker 1: and how they have to do right. Yeah, like I said,

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Speaker 1: it's a spectacular failure. My biggest concern is that people

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Speaker 1: on the right are going to weaponize this decree because

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Speaker 1: to be like, well, you were too focused on Russia

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Speaker 1: and Trump to blah bah blah and who knows. I

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Speaker 1: mean that could be you know, that's that's possible, but

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Speaker 1: it could also be, like anything humans are capable of

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Speaker 1: sucking up, and this would be so I don't know.

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Speaker 1: I mean, I'm not here to like cape for the

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Speaker 1: FBI or anything, but a lot of the coverage after

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Speaker 1: nine eleven was about, you know, how the FBI and

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Speaker 1: the CIA did a bad job of communicating to one another.

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Speaker 1: And one of the big things that they hadn't figured out,

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Speaker 1: and it seems like they probably still haven't figured it out,

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Speaker 1: is like during the Cold War, it was all about

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Speaker 1: getting like this one piece of information from this like

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Speaker 1: Russian operative or something, and now in this new world,

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Speaker 1: it's all about sworting through massive all the chatter piles

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Speaker 1: of data and figuring out what's actually important to you know,

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Speaker 1: pay attention to. And I think this is just another

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Speaker 1: case of you know, one of our agencies not being

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Speaker 1: able to you know, pick up the signal in the noise, right,

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Speaker 1: And you know, the FBI is the goalie in this

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Speaker 1: soccer team, like there is the rest of the team,

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Speaker 1: which is policy, and our total failed policy on like

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Speaker 1: selling this guy a gun when he had like demonstrated

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Speaker 1: mental health issues. And I'm from Florida and I'm from

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Speaker 1: kind of close to Broward, so I do have a

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Speaker 1: sense of like nothing will change because Floridians are so

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Speaker 1: strong into their guns. Like there's a guy on my

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Speaker 1: street back home in Florida who walks his dog on

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Speaker 1: my street, my chill ass retirement street, because a lot

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Speaker 1: of people on my street of retirees with a gun

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Speaker 1: just like yeah, just like exercising his right to bear arms.

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Speaker 1: But it's like, what, Yeah, I'm guessing that your street

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Speaker 1: is not active, as people would say, crown it out. Literally,

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Speaker 1: I live in uh I don't live there anymore, but

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Speaker 1: my parents I grew up in a bit of a

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Speaker 1: retirement subdivision, right, right, hey man, you never know. I mean, yeah,

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Speaker 1: it's well, like clearly people are afraid, and like that's

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Speaker 1: what motivates people to carry guns like that. And clearly

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Speaker 1: they're also afraid because they even look at something like

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Speaker 1: this and still can't imagine like let it go of

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Speaker 1: some modicum of control over what weapons they can have

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Speaker 1: in things like right, it's like indignant. It's like I'm

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Speaker 1: doing this because I can because I and I think

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Speaker 1: that comes from a feeling of powerlessness Yeah, so one

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Speaker 1: silver lining we talked yesterday about how, you know, we're

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Speaker 1: hoping that this is something that we're just moving, like

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Speaker 1: progress will move beyond this period where guns were just everywhere,

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Speaker 1: and you know, most other or westernized countries and you know, uh,

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Speaker 1: developed countries have moved beyond that. America's like the only

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Speaker 1: one that has not, and is also the only one

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Speaker 1: with all these mass shootings. But uh so the kids

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Speaker 1: are kind of giving us hope in the way that

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Speaker 1: they've responded to this, the actual kids who were in

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Speaker 1: the school as sort of the next generation who might

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Speaker 1: give us some indication of where we're headed. Um, and

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Speaker 1: uh there there were kids who were actually like covering this,

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Speaker 1: like straight up on the scene journalists during the shooting,

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Speaker 1: like inside classrooms. One kid was rolling on his phone

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Speaker 1: in a closet that all the kids were hiding in

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Speaker 1: like waiting for either the FBI or the police to

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Speaker 1: come by or for the shooter to come by, and

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Speaker 1: he was like asking his fellow classmates what they thought

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Speaker 1: about gun policy. And I think we actually have a

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Speaker 1: have a clip of that. So what's your message. Um,

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Speaker 1: I really don't think there's anything you say, but they

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Speaker 1: shouldn't have to be because if you looked around const

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Speaker 1: so everyone just hiding together, and you wouldn't know that

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Speaker 1: this shouldn't be happening anymore, and that it doesn't deserve

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Speaker 1: to happen to anyone, and that no amount of money

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Speaker 1: should make it more easily accessible to get guns. UM.

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Speaker 1: And that's that I personally have rallied for UM. You know,

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Speaker 1: gun rights and how less control not necessarily less control.

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Speaker 1: But this experience has definitely changed my viewpoints. I wanted

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Speaker 1: to be a June nr A member. I wanted to

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Speaker 1: learn how to hunt. I was always fascinated by guns

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Speaker 1: as a young girl, but this experience was so traumatizing,

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Speaker 1: to the point where now I can't even fathom the

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Speaker 1: idea of a gun in my house or on my bodice. UM.

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Speaker 1: I did have plants for my eighteenth birthday to go

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Speaker 1: to Nexus gun range and learn how to shoot, but

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Speaker 1: at this point I don't even want to be behind

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Speaker 1: a gun. I don't want to be the person behind

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Speaker 1: a bullet because I don't want to be the person

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Speaker 1: who point a bullet at someone and to have the

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Speaker 1: bullet at me, my school, my classmates, my teachers, my mentors,

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Speaker 1: it's it's just it's definitely I opening to the fact

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Speaker 1: that we need more gun control than our country because

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Speaker 1: for this to happen and for people to be so

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Speaker 1: neutralized to it. I even texted my sisters shooting at

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Speaker 1: my school, I am safe. They both responded with, OMG

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Speaker 1: l L you're funny. Now, that's a problem in society,

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Speaker 1: and it's a bigger problem in America and it needs

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Speaker 1: to be fixed. And I believe the most definite way

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Speaker 1: to fix it is by changing our laws when it

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Speaker 1: comes to gun ownership. Yeah. Um, that's while he was

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Speaker 1: doing that interview, while they were locked down, they were

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Speaker 1: hiding in a closet from the Yeah, there's other footage

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Speaker 1: and you see this. This is more common, just footage

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Speaker 1: from inside classrooms where you know, all of a sudden

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Speaker 1: you hear the shooting like it sounds like it's coming

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Speaker 1: from inside the room. It's so loud because assault rifles,

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Speaker 1: it turns out, are loud, but it Yeah, I guess

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Speaker 1: to your point on us, she was talking about how

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Speaker 1: she wanted to be a junior n R. Like that

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Speaker 1: is that is some deep cultural it is and you're right,

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Speaker 1: hearing those kids does give me hope, because I think

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Speaker 1: many people who live in Broward specifically, because when it

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Speaker 1: hits that close to home, it becomes undeniable and it

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Speaker 1: stops being, um a talking point. Yeah, and I think

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Speaker 1: for so many gun owners it is still a bit

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Speaker 1: I guess this is like debatable, but I think it

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Speaker 1: is a bit of an abstract point because they only

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Speaker 1: have experience with this, like responsible gun ownership. Yeah. Um,

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Speaker 1: but yeah, that was really heartbreaking. Yeah. And there's also

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Speaker 1: just people clapping back on Twitter. You know, this is

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Speaker 1: a thing, a talking point that the right tends to

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Speaker 1: be able to get away with where they will come

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Speaker 1: in and accuse the left of politicized saying the tragedy.

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Speaker 1: And so Tommy Lauren came in and said, can the

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Speaker 1: left let the families grieve for even twenty four hours

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Speaker 1: before they pushed their anti gun and anti gun owner agenda.

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Speaker 1: My goodness, this isn't about a gun, It's about another

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Speaker 1: lunatic hashtag Florida shooting. And one of the students, UH responded,

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Speaker 1: A gun is killed seventeen of my fellow classmates. A

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Speaker 1: gun has traumatized my friends, my entire school traumatized from

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Speaker 1: this tragedy. This could have been prevented. Please shut the

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Speaker 1: funk up, Tommy. That's great, yeah, um, yeah, And it's

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Speaker 1: good to know. I mean, like, I'm not that it's

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Speaker 1: good to know, but it's unfortunate that to get a

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Speaker 1: generation of people to sort of begin to call us

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Speaker 1: around something like this. It's tragedies like this, that's sort

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Speaker 1: of right, But these kids, I mean, man like, there

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Speaker 1: were so many interviews with students in the aftermath that

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Speaker 1: were so articulate in what their viewpoints were on guns

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Speaker 1: and things like that, and they're the ones affected. Yeah,

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Speaker 1: I mean, right now, it's school shootings and we did

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Speaker 1: not have this degree of school shootings twenty years ago

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Speaker 1: or even ten years ago. And this is a war weapon,

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Speaker 1: the a R fifteen, like was first deployed on Mascal

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Speaker 1: in Vietnam. Why is this for sale for personal use?

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Speaker 1: They had to rebrand it to get people to buy it,

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Speaker 1: called the Sporter. I think we talked about that yesterday.

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Speaker 1: But yeah, just shows you how, you know, gun culture

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Speaker 1: is just deeply intertwined with our society and just another

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Speaker 1: sort of silver lining type story that we wanted to

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Speaker 1: hit before we go to our first ad break. Is uh,

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Speaker 1: this criminal in Brazil rights. Yeah, this drug dealer or

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Speaker 1: you know, gang member what everyone would call him. His

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Speaker 1: name is Thomas Vieta Golmez. He went and kidnapped a

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Speaker 1: bunch of nurses so he could get his neighborhood vaccinated

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Speaker 1: for yellow fever, because apparently there's been an outbreak. People

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Speaker 1: have been dying and the government has had a lot

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Speaker 1: of trouble getting vaccines to people, especially poor residents. So

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Speaker 1: this guy took it upon him. So if he pulled

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Speaker 1: up on a vaccination clinic and kidnapped two nurses and said,

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Speaker 1: you're about to vaccinate the whole hood and brought him

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Speaker 1: up there, and like, according to the people that were kidnapped,

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Speaker 1: there were these two nurses. They said, you know, the

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Speaker 1: people that took them, they were not aggressive or threatening.

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Speaker 1: They did not hurt them, uh, and they like they

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Speaker 1: just said, hey, you're going, and I think they got

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Speaker 1: what the message was. They vaccinated everybody, like incident free

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Speaker 1: and then they brought him back to their to their clinic,

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Speaker 1: and we're like, thank you, but it's just yeah, it's

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Speaker 1: it's crazy that it's taking you know, that there are

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Speaker 1: people in these situations that they're having to you know,

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Speaker 1: for their communities. I mean, that's what's happening in Puerto Rico.

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Speaker 1: Government failed, so Brazil. Yeah, it's interesting because even like

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Speaker 1: former politicians are like, hey, good on you man for

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Speaker 1: like doing that. So I'm not sure exactly what this

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Speaker 1: guy's rep is as a drugs here. I mean, yeah,

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Speaker 1: I mean, let's be real, like, you don't you don't

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Speaker 1: become the number one gangster because you're the nicest dude

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Speaker 1: who was very understanding, so knowles. But anyway, at least

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Speaker 1: people are getting vaccinated. We're gonna take a quick break.

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Speaker 1: We'll be right back, and we're back, and we wanted

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Speaker 1: to talk about late breaking news here. The Mueller team

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Speaker 1: has indicted thirteen Russians it looks like, and three Russian organizations, uh,

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Speaker 1: and basically said that these people and organizations were engaged

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Speaker 1: in operations primarily intended to communicate derogatory information about Hillary Clinton,

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Speaker 1: to denigrate other candidates such as Ted Cruise and Marco

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Speaker 1: Rubio port Marco, and to support Bernie Sanders and then

424
00:24:49,000 --> 00:24:54,119
Speaker 1: candidate Donald Trump. So that's interesting. It puts on paper,

425
00:24:54,560 --> 00:24:58,480
Speaker 1: you know, for a fact that well, not that we

426
00:24:58,560 --> 00:25:01,439
Speaker 1: didn't believe that there was resident interference but now they

427
00:25:01,480 --> 00:25:04,400
Speaker 1: found people to hold their feet to the fire here. Uh.

428
00:25:04,440 --> 00:25:07,480
Speaker 1: And also it hints that there were probably US Americans

429
00:25:08,320 --> 00:25:11,880
Speaker 1: that they were communicating with, two which they didn't name explicitly.

430
00:25:11,960 --> 00:25:14,560
Speaker 1: So I'm sure that is a reveal that is yet

431
00:25:14,600 --> 00:25:17,000
Speaker 1: to come. I feel like the showrunners of the show

432
00:25:17,359 --> 00:25:20,399
Speaker 1: the Americans are like, yeah, oh man, this is a

433
00:25:20,400 --> 00:25:26,080
Speaker 1: great pr R right now. Yeah, now, can somebody explain

434
00:25:26,200 --> 00:25:30,120
Speaker 1: to me? So this is like front page Drudge report,

435
00:25:30,400 --> 00:25:34,920
Speaker 1: like did the spinning siren or spinning police light? Uh

436
00:25:35,119 --> 00:25:39,479
Speaker 1: thing with the announcement that he indicts thirteen Russians? Did

437
00:25:39,560 --> 00:25:44,400
Speaker 1: they not think that Russians interfered? Were they not the right?

438
00:25:45,240 --> 00:25:47,840
Speaker 1: Like the right like Fox News and the people who

439
00:25:47,840 --> 00:25:50,520
Speaker 1: are kind of surprised by this, Well, I don't know

440
00:25:50,600 --> 00:25:53,720
Speaker 1: they do know, because clearly, like with the way Congress

441
00:25:53,800 --> 00:25:58,360
Speaker 1: voted for sanctions overwhelmingly against Russia for their role in

442
00:25:58,359 --> 00:26:02,400
Speaker 1: interfering with the Congress, I don't know that the right

443
00:26:02,600 --> 00:26:06,240
Speaker 1: outside of politicians right, And I think the weird disconnect

444
00:26:06,320 --> 00:26:08,679
Speaker 1: happens is when they acknowledge in the form of voting

445
00:26:08,720 --> 00:26:11,000
Speaker 1: for these sanctions, but then say, well, you know, they

446
00:26:11,040 --> 00:26:14,120
Speaker 1: weren't helping Donald Trump or whatever. That's when they sort

447
00:26:14,160 --> 00:26:17,200
Speaker 1: of are trying to play like a weird, murky form

448
00:26:17,240 --> 00:26:21,200
Speaker 1: of logic. But yeah, I don't know. I guess maybe

449
00:26:21,359 --> 00:26:24,879
Speaker 1: because it's so undeniable that their indictments for actual people

450
00:26:24,960 --> 00:26:28,040
Speaker 1: rather than like the nebulous boogeymanaged saying like, well, Russia,

451
00:26:28,440 --> 00:26:30,840
Speaker 1: you're saying like, no, it's you have Guinny and its

452
00:26:31,200 --> 00:26:34,080
Speaker 1: Alexandra or whatever these people who were named in it, right.

453
00:26:34,440 --> 00:26:38,320
Speaker 1: I Mean, the main pushback that I've heard about the

454
00:26:38,359 --> 00:26:42,720
Speaker 1: investigation is the idea that it just didn't affect people,

455
00:26:42,880 --> 00:26:45,760
Speaker 1: that it didn't have an effect that Russia tried. Uh,

456
00:26:45,960 --> 00:26:49,080
Speaker 1: they put out you know, like one percent of all

457
00:26:49,119 --> 00:26:52,880
Speaker 1: the tweets or Facebook posts about the election, But some

458
00:26:52,920 --> 00:26:56,040
Speaker 1: people are saying it didn't have as much of an

459
00:26:56,040 --> 00:27:00,119
Speaker 1: effect as people, because I mean, effect is intangible, Like

460
00:27:00,760 --> 00:27:03,520
Speaker 1: how can you know if like how can you really

461
00:27:03,560 --> 00:27:08,960
Speaker 1: measure if those bots and if collusion was impacting like

462
00:27:09,960 --> 00:27:13,160
Speaker 1: opinions and minds, How can you measure that? That's personally

463
00:27:13,160 --> 00:27:16,040
Speaker 1: how I feel, especially because a lot of the most

464
00:27:16,240 --> 00:27:20,520
Speaker 1: shared stories were specifically fake news stories, like they were

465
00:27:20,720 --> 00:27:25,159
Speaker 1: stories that the pope had endorsed Donald Trump. And you

466
00:27:25,200 --> 00:27:28,119
Speaker 1: know the reason that you write these fake news stories

467
00:27:28,200 --> 00:27:31,679
Speaker 1: is because they are what you know, people want to believe,

468
00:27:31,880 --> 00:27:34,840
Speaker 1: and they become incredibly successful. So even if they were

469
00:27:34,880 --> 00:27:38,080
Speaker 1: only like one out of every five stories that people

470
00:27:38,119 --> 00:27:42,120
Speaker 1: read and shared about the election, they're still potent or

471
00:27:42,160 --> 00:27:44,879
Speaker 1: even more potent than the true stories that they were reading,

472
00:27:44,920 --> 00:27:47,600
Speaker 1: because they are wish fulfillment straight up, right, And that

473
00:27:47,720 --> 00:27:51,080
Speaker 1: happened with this shooting. I mean the whole uh fake

474
00:27:51,160 --> 00:27:54,320
Speaker 1: news story that the shooter was a dreamer that was

475
00:27:54,359 --> 00:27:56,800
Speaker 1: from a Russian bot, and then there was a Republican

476
00:27:56,840 --> 00:28:00,200
Speaker 1: I want to say rap or in the very to

477
00:28:00,240 --> 00:28:06,439
Speaker 1: Republican congressman who then repeated that information and said the

478
00:28:06,440 --> 00:28:10,800
Speaker 1: shooter was a dreamer was not aware of that on Twitter.

479
00:28:12,040 --> 00:28:15,679
Speaker 1: So it is I think it's the most just I

480
00:28:15,720 --> 00:28:20,240
Speaker 1: think the box specifically the fake news, Russian fake news

481
00:28:20,440 --> 00:28:24,920
Speaker 1: is the most destructive thing to our democracy right now

482
00:28:24,960 --> 00:28:28,320
Speaker 1: because it's true. Here we have these names indicted. But

483
00:28:28,960 --> 00:28:31,240
Speaker 1: that's not the spin on Breitbart. And if your only

484
00:28:31,240 --> 00:28:34,919
Speaker 1: source of information is um, not even the Dread Report,

485
00:28:35,160 --> 00:28:39,360
Speaker 1: if it's Breitbart and maybe Alex Jones like great, that

486
00:28:39,480 --> 00:28:41,680
Speaker 1: story is not going to hit you, right. Yeah, it's

487
00:28:41,680 --> 00:28:44,040
Speaker 1: hard to ever know what the effect is because these

488
00:28:44,120 --> 00:28:46,480
Speaker 1: news stories to sort of act more on a subconscious level.

489
00:28:46,480 --> 00:28:48,600
Speaker 1: Even if you disregard it, you may read the headline

490
00:28:48,640 --> 00:28:52,160
Speaker 1: and that may inform your to extent where be like, oh,

491
00:28:52,200 --> 00:28:53,840
Speaker 1: I guess some people believe that, oh, that might be

492
00:28:53,840 --> 00:28:57,440
Speaker 1: a thing, and that has already entered your mind, and

493
00:28:57,480 --> 00:28:59,920
Speaker 1: it's hard to Yeah, how can you sort of quantified

494
00:29:00,000 --> 00:29:02,960
Speaker 1: effects of something that probably works most effectively on a

495
00:29:02,960 --> 00:29:05,640
Speaker 1: subconscious level. And you look at people who are sort

496
00:29:05,640 --> 00:29:08,680
Speaker 1: of still in denial about you know that thirty percent

497
00:29:08,800 --> 00:29:10,760
Speaker 1: who sort of looked at Trump can do no wrong.

498
00:29:11,480 --> 00:29:14,240
Speaker 1: There's I think there's a lot that they don't realize

499
00:29:14,520 --> 00:29:16,720
Speaker 1: has affected them on a subconscious level, that they haven't

500
00:29:16,720 --> 00:29:21,560
Speaker 1: truly confronted. I mean, look, yeah, actually, and like Rick

501
00:29:21,600 --> 00:29:24,960
Speaker 1: Gates also looks like he's making a plea deal with

502
00:29:25,040 --> 00:29:28,480
Speaker 1: Mueller because the bills are too much. If you don't

503
00:29:28,520 --> 00:29:31,120
Speaker 1: have that money to go through an indictment, Yeah, you're

504
00:29:31,160 --> 00:29:34,120
Speaker 1: probably gonna play out. Yeah that's good. That's another that's

505
00:29:34,120 --> 00:29:37,960
Speaker 1: another person, uh cooperating. But again, I'm truly not really

506
00:29:37,960 --> 00:29:41,240
Speaker 1: holding my breath because as we've seen time and again,

507
00:29:41,400 --> 00:29:45,120
Speaker 1: there isn't much that can actually get people to you know,

508
00:29:45,320 --> 00:29:47,400
Speaker 1: I don't know wake up to what's going on, or

509
00:29:47,440 --> 00:29:50,960
Speaker 1: that Congress will take action so we will see. I

510
00:29:51,040 --> 00:29:54,560
Speaker 1: can just I know I have such temperate expectations about

511
00:29:55,280 --> 00:29:59,000
Speaker 1: all national politics right now, like, uh, you know, we

512
00:29:59,120 --> 00:30:01,600
Speaker 1: just have to be prepared for a fight. Well you

513
00:30:01,640 --> 00:30:03,840
Speaker 1: know what if this nation doesn't work out, I want

514
00:30:03,880 --> 00:30:06,600
Speaker 1: to tell you about a nation we can't believe. Oh

515
00:30:06,680 --> 00:30:13,080
Speaker 1: that is a wonderful transition, bro, Just real quick. I

516
00:30:13,360 --> 00:30:19,240
Speaker 1: did want to read how bright part is Third team

517
00:30:19,280 --> 00:30:22,360
Speaker 1: Russians indicted for election interference is the big headline and

518
00:30:22,440 --> 00:30:26,440
Speaker 1: bright part, but then underneath that still no collusion quotes

519
00:30:26,600 --> 00:30:31,840
Speaker 1: Trump team, unwitting quotes, conspirators held rallies against President elect

520
00:30:32,520 --> 00:30:36,160
Speaker 1: which they have cherry picked the only details from uh

521
00:30:36,440 --> 00:30:40,560
Speaker 1: these indictments. Uh you know they have pulled the words

522
00:30:40,680 --> 00:30:43,360
Speaker 1: that when the tape comes out, they're gonna be like

523
00:30:43,400 --> 00:30:46,400
Speaker 1: and see Trump helped those ladies they needed a restroom.

524
00:30:47,040 --> 00:30:51,560
Speaker 1: And also I think you know what Premier can do

525
00:30:54,720 --> 00:30:56,840
Speaker 1: when you actually read the article, because this is what

526
00:30:56,880 --> 00:30:59,880
Speaker 1: bright Part does. They write like articles that are accurate

527
00:31:00,080 --> 00:31:02,680
Speaker 1: and then they just like cherry pick little pieces and

528
00:31:02,720 --> 00:31:05,360
Speaker 1: put it in quotes and put it in the headline,

529
00:31:05,400 --> 00:31:09,880
Speaker 1: but have a very leading headline, but they say that

530
00:31:09,920 --> 00:31:13,920
Speaker 1: there is yet to be any evidence that there was collusion.

531
00:31:14,120 --> 00:31:18,000
Speaker 1: So the headline seems to suggest that there was no collusion,

532
00:31:18,120 --> 00:31:21,640
Speaker 1: and we now have proof, still no collusion because there's

533
00:31:21,680 --> 00:31:25,320
Speaker 1: these Russians we dated who I'm so hopeless. I read

534
00:31:25,360 --> 00:31:29,040
Speaker 1: Breitbart maybe a few times a week. I know, I

535
00:31:29,040 --> 00:31:31,400
Speaker 1: don't read it. I just I'm like, let me just

536
00:31:31,400 --> 00:31:33,840
Speaker 1: see what's going on. And now Facebook is like a

537
00:31:33,840 --> 00:31:36,960
Speaker 1: little confused about who I am advertising. Oh yeah, no

538
00:31:37,160 --> 00:31:40,160
Speaker 1: drudges the first story or the first website I check

539
00:31:40,240 --> 00:31:43,920
Speaker 1: every morning because I'm always worried because I'm always seeking

540
00:31:43,920 --> 00:31:47,400
Speaker 1: the truth. Yet and a lot of like Nacho cheese

541
00:31:47,520 --> 00:31:52,280
Speaker 1: advertisements because I talk about cheese a lot. You um,

542
00:31:52,400 --> 00:31:55,680
Speaker 1: but myles, he were saying something about another nation, Dude.

543
00:31:55,680 --> 00:31:56,920
Speaker 1: The whole time I was trying to think of how

544
00:31:56,960 --> 00:31:58,760
Speaker 1: he's going to spin on this. When you guys said,

545
00:31:58,800 --> 00:31:59,960
Speaker 1: I was about to be like, well, let me tell

546
00:32:00,040 --> 00:32:04,760
Speaker 1: it was nacho prop Yes, bottom line, I saw a

547
00:32:04,800 --> 00:32:10,400
Speaker 1: Black Panther last night. Yeah, we're cheering you having seen Panther.

548
00:32:10,640 --> 00:32:16,040
Speaker 1: Let me tell you, guys, it is a fucking great movie. Uh.

549
00:32:16,080 --> 00:32:17,920
Speaker 1: There are so many good things that I want to

550
00:32:17,920 --> 00:32:19,120
Speaker 1: say about it, and I don't want to get it

551
00:32:19,160 --> 00:32:21,160
Speaker 1: too specific because I want people to just watch it.

552
00:32:21,320 --> 00:32:23,840
Speaker 1: All i'm gonna say is the hype is real. Uh,

553
00:32:23,880 --> 00:32:28,320
Speaker 1: and it's too. It's too It is the wildest movie

554
00:32:28,360 --> 00:32:32,680
Speaker 1: out there. Um, it was just great. I was so Blade.

555
00:32:32,840 --> 00:32:35,160
Speaker 1: I actually kind of identified Blake because Blade is like

556
00:32:35,160 --> 00:32:38,800
Speaker 1: a half vampire, half human and also a black man.

557
00:32:39,080 --> 00:32:41,040
Speaker 1: And I was like, yo, I feel like I'm kind

558
00:32:41,080 --> 00:32:45,280
Speaker 1: of straggling different. Yeah, I don't sleep exactly and I

559
00:32:45,280 --> 00:32:47,880
Speaker 1: had to file down my canines to look like a human. Um.

560
00:32:47,920 --> 00:32:51,040
Speaker 1: But like, watching this movie Man with like so much

561
00:32:51,240 --> 00:32:54,120
Speaker 1: representation is really it's something that really doesn't hit you

562
00:32:54,160 --> 00:32:56,400
Speaker 1: till you actually see it and you're like, wow, all

563
00:32:56,440 --> 00:32:59,959
Speaker 1: these characters are dope. The fucking his like bodyguards are

564
00:33:00,000 --> 00:33:01,960
Speaker 1: bad ass. I'm not gonna like just go over like

565
00:33:02,120 --> 00:33:04,760
Speaker 1: point by point, but suffice it to say the movie

566
00:33:04,840 --> 00:33:08,040
Speaker 1: is great. There are really great characters in it. They're

567
00:33:08,080 --> 00:33:11,680
Speaker 1: strong female characters in it there, Uh, you know Andy

568
00:33:11,760 --> 00:33:14,560
Speaker 1: Serkus Like luckily the white people in it who have

569
00:33:14,600 --> 00:33:17,320
Speaker 1: speaking roles typically are like the bad guys. Uh. And

570
00:33:17,480 --> 00:33:19,920
Speaker 1: it's funny. I know. The Twitter was clearly up in

571
00:33:20,000 --> 00:33:23,680
Speaker 1: arms about that. Yeah, but Andy serkis also shout out

572
00:33:23,680 --> 00:33:26,959
Speaker 1: to Andy serkis pretty like, well, I know him as

573
00:33:26,960 --> 00:33:29,120
Speaker 1: a motion capture did, but when you see him kind

574
00:33:29,120 --> 00:33:30,760
Speaker 1: of play this other character, like, oh, you've got some

575
00:33:30,840 --> 00:33:34,400
Speaker 1: you've got some good chops character actor. He's a good actor, yeah, exactly.

576
00:33:35,240 --> 00:33:37,200
Speaker 1: And I haven't checked for like the movies that like,

577
00:33:37,280 --> 00:33:39,160
Speaker 1: I think he's in thirteen going on thirty or something

578
00:33:39,200 --> 00:33:42,720
Speaker 1: like that, and I'm like, yeah, that's different than seeing this.

579
00:33:43,000 --> 00:33:45,520
Speaker 1: And he was dope. Chadwick Boseman is amazing, Lupete and

580
00:33:45,560 --> 00:33:48,680
Speaker 1: Niago is amazing. Uh, It's just it's just a good movie.

581
00:33:48,720 --> 00:33:51,440
Speaker 1: And the music was good, the score was great. Um,

582
00:33:51,600 --> 00:33:54,880
Speaker 1: I'm going to go watch it again because the wa

583
00:33:54,960 --> 00:33:58,360
Speaker 1: kind of bug infected me and I'm like all about it.

584
00:33:58,600 --> 00:34:01,280
Speaker 1: I definitely want to see it again. That's good thing.

585
00:34:01,520 --> 00:34:03,600
Speaker 1: I mean the hype. I just I jumped on the

586
00:34:03,640 --> 00:34:05,960
Speaker 1: hype train. I was. I was right with the conductor.

587
00:34:06,840 --> 00:34:09,719
Speaker 1: But yes, you guys have to check it out. I

588
00:34:09,719 --> 00:34:12,200
Speaker 1: have some questions. Yes, I am seeing it today. I

589
00:34:12,280 --> 00:34:16,239
Speaker 1: have my ticket. I did not love Wonder Woman, but

590
00:34:16,320 --> 00:34:18,759
Speaker 1: I think it's a different movie in terms of representation

591
00:34:18,800 --> 00:34:21,279
Speaker 1: because like it was kind of representation, but a man

592
00:34:21,360 --> 00:34:24,239
Speaker 1: still wrote the story. Well, what was good here is

593
00:34:24,280 --> 00:34:26,200
Speaker 1: like there were jokes that were relevant to black people

594
00:34:26,320 --> 00:34:29,520
Speaker 1: that didn't sound like him fisted jokes by a white

595
00:34:29,560 --> 00:34:31,480
Speaker 1: guy who like listened to a ton of hip hop,

596
00:34:31,520 --> 00:34:35,880
Speaker 1: so he feels like, whoa, that is how wonder Woman felt.

597
00:34:36,040 --> 00:34:38,160
Speaker 1: Can you give an example of like one of those jokes?

598
00:34:39,320 --> 00:34:42,880
Speaker 1: And I don't even want to because they're really just

599
00:34:42,960 --> 00:34:45,279
Speaker 1: want there's such good comic relief in this film too,

600
00:34:45,320 --> 00:34:48,280
Speaker 1: I don't even want to spoil that, Like what about narrative?

601
00:34:48,400 --> 00:34:50,920
Speaker 1: Like did it feel like a superhero movie? Or was

602
00:34:50,960 --> 00:34:53,279
Speaker 1: it like did it has all the hallmarks and trappings

603
00:34:53,280 --> 00:34:56,920
Speaker 1: of a superhero movie? Us? Sometimes it may have you know,

604
00:34:57,440 --> 00:34:59,880
Speaker 1: veered into well worn territory for things like that, but

605
00:35:00,040 --> 00:35:03,640
Speaker 1: it's okay superhero story. That's why I can't really give

606
00:35:03,680 --> 00:35:06,759
Speaker 1: a critique of it as a film as a experience

607
00:35:07,200 --> 00:35:09,799
Speaker 1: right now, because I went and experienced it. I I'll

608
00:35:09,800 --> 00:35:12,440
Speaker 1: go again to actually watch it because I was just

609
00:35:12,480 --> 00:35:17,799
Speaker 1: like the whole time, I was just like, just man,

610
00:35:17,920 --> 00:35:21,319
Speaker 1: I have my black excellence glasses on, so I look

611
00:35:21,360 --> 00:35:23,480
Speaker 1: at it as a regular person might look at it,

612
00:35:23,520 --> 00:35:26,520
Speaker 1: but man, it is you're gonna love it. Okay, well

613
00:35:26,560 --> 00:35:29,520
Speaker 1: I'm excited to see it. Edgar dressed up as Black

614
00:35:29,520 --> 00:35:33,799
Speaker 1: Panther Black Panther for Halloween. Do you understand what I'm saying, Like, like,

615
00:35:33,960 --> 00:35:36,560
Speaker 1: was he like a Black Panther, but was the hero

616
00:35:36,680 --> 00:35:39,480
Speaker 1: Black Panther as a member as a member of the

617
00:35:39,480 --> 00:35:44,439
Speaker 1: Black Panther and no one got the costume, So they're

618
00:35:44,440 --> 00:35:46,720
Speaker 1: gonna get it this year because Edgar looks like Chadwick

619
00:35:46,719 --> 00:35:50,319
Speaker 1: bo I was watching and I was like, in my mind,

620
00:35:50,360 --> 00:35:52,440
Speaker 1: I don't know. I was like, damn, man, Edgar has

621
00:35:52,480 --> 00:35:58,000
Speaker 1: a good Halloween costume this year. The mask. There you go,

622
00:35:58,239 --> 00:36:00,560
Speaker 1: I would man, the mask, just go because you are

623
00:36:01,719 --> 00:36:04,759
Speaker 1: you can go do kids parties or whatever. H and anyway,

624
00:36:04,800 --> 00:36:08,600
Speaker 1: but yes, also got to say that again because white

625
00:36:08,640 --> 00:36:11,759
Speaker 1: people don't like black people having ship. There was like

626
00:36:11,840 --> 00:36:14,640
Speaker 1: even ship going on Twitter yesterday where there were people

627
00:36:14,719 --> 00:36:19,040
Speaker 1: pretending that they were assaulted at the Black Panther screenings,

628
00:36:19,200 --> 00:36:22,520
Speaker 1: like uploading, yeah, like uploading like I got a bottle

629
00:36:22,560 --> 00:36:24,760
Speaker 1: smashed on my head and it was like a photo

630
00:36:24,840 --> 00:36:28,000
Speaker 1: that was used from actually coincidentally a Swedish woman from

631
00:36:28,000 --> 00:36:29,920
Speaker 1: like a year ago or something. But they use that

632
00:36:30,200 --> 00:36:32,520
Speaker 1: to sort of like push their narrative of like, oh,

633
00:36:32,560 --> 00:36:34,399
Speaker 1: these black people, if you go there, they're gonna they're

634
00:36:34,400 --> 00:36:39,359
Speaker 1: gonna suck you up. Oh yeah. Also, no, don't weaponized.

635
00:36:39,400 --> 00:36:43,359
Speaker 1: Sweet Yeah, white people, you have plenty of things that

636
00:36:43,480 --> 00:36:46,799
Speaker 1: will be all yours, you know that. Yeah, like you'll

637
00:36:46,800 --> 00:36:49,239
Speaker 1: continue to get all the roses on The Bachelor and things.

638
00:36:49,239 --> 00:36:51,800
Speaker 1: But it's crazy is that they've planned those movies until

639
00:36:51,840 --> 00:36:57,920
Speaker 1: two years something. Yeah, So like I wonder someone probably

640
00:36:57,920 --> 00:37:01,160
Speaker 1: knows answer. It's making money because I think far other spinoffs. Yeah,

641
00:37:01,200 --> 00:37:05,080
Speaker 1: they're gonna make on opening day, so that's they're on

642
00:37:05,160 --> 00:37:07,760
Speaker 1: track to do very well, right, and this is good

643
00:37:07,800 --> 00:37:10,719
Speaker 1: for other movies. Like I'm not a big fan of

644
00:37:10,719 --> 00:37:14,000
Speaker 1: all the superhero movie stuff, like the fact that the

645
00:37:14,000 --> 00:37:17,560
Speaker 1: movies and theaters are superhero movies, but this will trickle down,

646
00:37:17,600 --> 00:37:20,120
Speaker 1: I think into the kinds of movie. Yeah, regardless of

647
00:37:20,160 --> 00:37:24,240
Speaker 1: like the film, I think what makes everyone really hyped

648
00:37:24,280 --> 00:37:27,000
Speaker 1: for it is a fact that it's it's finally like

649
00:37:27,040 --> 00:37:29,920
Speaker 1: an accurate representation or not accurate, but it's it's a

650
00:37:30,000 --> 00:37:33,560
Speaker 1: it's a cast that's majority black, and it's not trying

651
00:37:33,600 --> 00:37:36,400
Speaker 1: to push like some tired ass like you know, Tyler

652
00:37:36,440 --> 00:37:40,000
Speaker 1: Perry type stuff or whatever. It's just like representation here

653
00:37:40,040 --> 00:37:41,879
Speaker 1: is like a great that's one of the great feats

654
00:37:41,880 --> 00:37:43,040
Speaker 1: of it. And on top of you, you have a

655
00:37:43,120 --> 00:37:47,239
Speaker 1: very solid, entertaining superhero film, right that doesn't have any

656
00:37:47,239 --> 00:37:48,719
Speaker 1: of like the methos of other things. You have to

657
00:37:48,760 --> 00:37:50,799
Speaker 1: go into it knowing anything about it. You can go

658
00:37:50,840 --> 00:37:53,200
Speaker 1: in cold and you will enjoy it. But there's still

659
00:37:53,239 --> 00:37:56,120
Speaker 1: a lot of intricate mythos going on, right Because I

660
00:37:56,160 --> 00:38:00,640
Speaker 1: watched video essay about the trailer and all the east

661
00:38:00,680 --> 00:38:04,399
Speaker 1: drags and the trailer. Yeah, so look, you can look

662
00:38:04,440 --> 00:38:06,120
Speaker 1: as closely as you want to find the details that

663
00:38:06,200 --> 00:38:09,279
Speaker 1: you need, Yeah, exactly. One detail that was kind of

664
00:38:09,320 --> 00:38:11,879
Speaker 1: that people were pointing out our writer Jam McNab did

665
00:38:12,360 --> 00:38:15,239
Speaker 1: was that there was like in the post credit scene

666
00:38:15,239 --> 00:38:16,960
Speaker 1: because you know, all these Marvel films have like a

667
00:38:16,960 --> 00:38:19,520
Speaker 1: post credits thing and I'm not gonna spoil anything, but

668
00:38:19,600 --> 00:38:23,799
Speaker 1: there's a scene where they're at a governmental function, uh

669
00:38:23,840 --> 00:38:26,359
Speaker 1: the u N specifically, and there's a Welsh flag in it,

670
00:38:26,680 --> 00:38:28,400
Speaker 1: and a lot of people were like, yo, wait, hold on,

671
00:38:28,440 --> 00:38:30,920
Speaker 1: what's going on here, because if this was the u N,

672
00:38:31,320 --> 00:38:34,399
Speaker 1: like the like the Welsh people would be represented by

673
00:38:34,480 --> 00:38:37,959
Speaker 1: the flag of Britain. Yeah. Um, so people were picking

674
00:38:38,040 --> 00:38:40,479
Speaker 1: up on their like, you know, wondering what's like, what's

675
00:38:40,520 --> 00:38:43,799
Speaker 1: going on here, like is there like a message in here? Uh?

676
00:38:43,880 --> 00:38:46,279
Speaker 1: Some people like said that, you know, it could just

677
00:38:46,320 --> 00:38:48,279
Speaker 1: be that the set decorator just had what was in

678
00:38:48,320 --> 00:38:50,319
Speaker 1: the trunk of the car and they had that red

679
00:38:50,400 --> 00:38:53,080
Speaker 1: dragon baby and then had to just Now. Then there's

680
00:38:53,120 --> 00:38:56,160
Speaker 1: also people what's interesting to me is that some people

681
00:38:56,160 --> 00:38:58,680
Speaker 1: were theorizing that the flag was actually a shout out

682
00:38:58,719 --> 00:39:01,960
Speaker 1: to the Welsh independence movement, because in the sixties a

683
00:39:01,960 --> 00:39:04,440
Speaker 1: lot of these Welsh nationalists saw a kinship with the

684
00:39:04,440 --> 00:39:07,279
Speaker 1: American civil rights struggle, and that could have been like, uh,

685
00:39:07,600 --> 00:39:13,560
Speaker 1: we see you uh put. And then there are other

686
00:39:13,600 --> 00:39:16,480
Speaker 1: people that think someone who works at Industrial Light and

687
00:39:16,520 --> 00:39:20,040
Speaker 1: Magic who did the c g I, that they may

688
00:39:20,080 --> 00:39:22,040
Speaker 1: have just put that in as a shout out to

689
00:39:22,120 --> 00:39:27,600
Speaker 1: the general manager who is Welsh, damn it. But again

690
00:39:27,680 --> 00:39:30,120
Speaker 1: it's interesting that again this movie is people are looking

691
00:39:30,160 --> 00:39:32,080
Speaker 1: at the details, like you're saying so much that even

692
00:39:32,080 --> 00:39:33,719
Speaker 1: picking up like that, they're like, okay, well what would

693
00:39:33,719 --> 00:39:35,719
Speaker 1: be saying about Welsh independence here? But I do think

694
00:39:35,760 --> 00:39:39,280
Speaker 1: there's merit to looking into things that much. Absolutely, Yeah,

695
00:39:39,440 --> 00:39:41,799
Speaker 1: I like the alternate, like, that's going to be the

696
00:39:41,880 --> 00:39:45,880
Speaker 1: Rosetta stone of the whole Marvel universes that in this universe,

697
00:39:46,680 --> 00:39:51,040
Speaker 1: Wales became independent in the sixties, right, exactly right, that's right.

698
00:39:51,600 --> 00:39:53,960
Speaker 1: That's what other people are saying, like, wow, in this universe,

699
00:39:54,040 --> 00:39:56,960
Speaker 1: well right, what does it mean? How does that ripple out?

700
00:39:57,160 --> 00:39:59,879
Speaker 1: If they had just become independent, we would have superheroes.

701
00:40:00,080 --> 00:40:05,600
Speaker 1: So they have the most beautiful national anthem? Do they harmonize? Yeah,

702
00:40:05,640 --> 00:40:10,480
Speaker 1: because apparently they used to teach kids. I'm like, Whales. Yeah, people,

703
00:40:13,280 --> 00:40:15,799
Speaker 1: I watched rugby. I watch rugby highlights from time to time,

704
00:40:15,880 --> 00:40:17,879
Speaker 1: and they were doing they were singing their national anthem.

705
00:40:17,920 --> 00:40:19,560
Speaker 1: I think they're playing England or something, so they were

706
00:40:19,600 --> 00:40:23,720
Speaker 1: like they were there to represent that. So many national

707
00:40:23,719 --> 00:40:26,759
Speaker 1: anthems are not pretty. Yeah, well this one they teach

708
00:40:26,840 --> 00:40:29,520
Speaker 1: kids in school like, Okay, you're probably gonna sing this

709
00:40:29,560 --> 00:40:31,879
Speaker 1: octave or you might sing this harmony. So then when

710
00:40:31,880 --> 00:40:34,319
Speaker 1: you get a stadium full of people, they already grew

711
00:40:34,400 --> 00:40:36,960
Speaker 1: up harmonizing. So if you can, if you have a

712
00:40:36,960 --> 00:40:38,960
Speaker 1: good quality of it, hearing sung by a large up

713
00:40:39,000 --> 00:40:41,239
Speaker 1: of people, it's really moving because you're like, damn, they're

714
00:40:41,280 --> 00:40:45,479
Speaker 1: like people harmonizing the other team is like weeping. Yeah,

715
00:40:45,520 --> 00:40:50,040
Speaker 1: no I was, that's me weeping over my laptop. Yeah,

716
00:40:50,080 --> 00:40:54,360
Speaker 1: that's how it should be. Alright. So my takeaway is that,

717
00:40:55,000 --> 00:40:59,279
Speaker 1: uh Andy Circus is good and that's really all I

718
00:40:59,320 --> 00:41:02,719
Speaker 1: got from Black. Yeah. My review is the white guy

719
00:41:02,840 --> 00:41:07,000
Speaker 1: was the best part. I'm going to get beat up.

720
00:41:07,120 --> 00:41:11,239
Speaker 1: Yeah right, Hey, if you're, if you're, if you're, if

721
00:41:11,239 --> 00:41:13,480
Speaker 1: you're a closeted racist, you know, just go in with

722
00:41:13,520 --> 00:41:17,200
Speaker 1: that in your heart. And it is funny how desperate,

723
00:41:17,640 --> 00:41:21,040
Speaker 1: you know, racist people are to make this movie not succeed,

724
00:41:21,160 --> 00:41:24,520
Speaker 1: and how bad that is going to go for them,

725
00:41:24,680 --> 00:41:28,640
Speaker 1: because after opening night, it had the best opening night

726
00:41:28,640 --> 00:41:31,479
Speaker 1: of any Marvel movie with the exception of the first

727
00:41:31,520 --> 00:41:34,239
Speaker 1: sequel to The Avengers. Uh and that movie didn't have

728
00:41:34,320 --> 00:41:38,160
Speaker 1: great word of mouth, so it might even And what

729
00:41:38,200 --> 00:41:41,160
Speaker 1: about internationally? Said something about internationally? Yeah, so there's this

730
00:41:41,360 --> 00:41:45,799
Speaker 1: myth in Hollywood that quote black doesn't travel, that you

731
00:41:45,840 --> 00:41:50,640
Speaker 1: can't show movies starring black actors overseas because people in

732
00:41:50,680 --> 00:41:56,919
Speaker 1: Europe are racist, not us here in America. No. Yeah,

733
00:41:56,960 --> 00:41:59,680
Speaker 1: And this was this was something that in those leaked

734
00:41:59,719 --> 00:42:04,960
Speaker 1: demon else where, the Sony executives we're talking about whether

735
00:42:05,080 --> 00:42:09,480
Speaker 1: or not too green light equalizer to the Denzel Washington movie. Uh.

736
00:42:09,640 --> 00:42:13,080
Speaker 1: That was one of the just you know, rules of

737
00:42:13,160 --> 00:42:15,719
Speaker 1: thumb that the one of the producers brought up. He

738
00:42:15,760 --> 00:42:18,320
Speaker 1: was like, look, Denzel is my favorite actor, but you

739
00:42:18,360 --> 00:42:21,640
Speaker 1: guys can't do this because black doesn't travel. And it

740
00:42:21,800 --> 00:42:26,520
Speaker 1: is black panthers crushing overseas in in the U. K.

741
00:42:26,920 --> 00:42:30,440
Speaker 1: And and all sorts of overseas markets. So I like

742
00:42:30,480 --> 00:42:34,000
Speaker 1: that rule of thumb is going to Yeah, so it's good,

743
00:42:34,120 --> 00:42:37,640
Speaker 1: good for Hollywood, good for the movie business in general.

744
00:42:37,680 --> 00:42:40,440
Speaker 1: All the industry trade to the trade magazines next week

745
00:42:40,480 --> 00:42:44,080
Speaker 1: can be like, I guess black people can go see stuff.

746
00:42:44,160 --> 00:42:48,759
Speaker 1: Oh yeah, yeah, baby, Hey we're ready. I'm ready for

747
00:42:48,840 --> 00:42:52,799
Speaker 1: the next Latino superhero movie. It's not coming, but um,

748
00:42:53,000 --> 00:42:56,200
Speaker 1: alright it yeah. Maybe there is a character you mean

749
00:42:56,239 --> 00:43:05,000
Speaker 1: besides much. First of all, Machette exists in the Spy

750
00:43:05,120 --> 00:43:09,719
Speaker 1: Kids universe. You guys know that Robert Rodriguez is like,

751
00:43:09,920 --> 00:43:13,880
Speaker 1: does he directed vote and he deliberately put Machete in

752
00:43:14,000 --> 00:43:17,360
Speaker 1: spy Kits and hit Machete's tool shop. Danny Tree's toolshop

753
00:43:17,440 --> 00:43:20,120
Speaker 1: is called Machete, and the two kind of link up together.

754
00:43:20,280 --> 00:43:22,960
Speaker 1: Which is crazy because Machete is like a very rated

755
00:43:23,040 --> 00:43:25,520
Speaker 1: art character who, oh my god, sleeps with women and

756
00:43:25,640 --> 00:43:31,319
Speaker 1: kills people. And Robert Rodriguez is just like, hey, he's

757
00:43:31,360 --> 00:43:34,080
Speaker 1: here in Spy Kids. He's not just in Spike Kids.

758
00:43:34,200 --> 00:43:38,560
Speaker 1: He's in Spike Kids one, two, three, and four. I

759
00:43:38,600 --> 00:43:41,920
Speaker 1: guess what he's got Taco shops and donor shop. He

760
00:43:42,080 --> 00:43:44,680
Speaker 1: cannot you cannot escape trail. Oh god, I would kill

761
00:43:44,719 --> 00:43:49,040
Speaker 1: for Danny Trejo's career, right. He has beautiful hair too,

762
00:43:49,200 --> 00:43:52,640
Speaker 1: he does. I met him once and he was doing appearance.

763
00:43:52,760 --> 00:43:54,919
Speaker 1: He straight up had to blow dry his hair before

764
00:43:54,960 --> 00:43:59,279
Speaker 1: he came into the studio and like brushed his ship

765
00:43:59,400 --> 00:44:02,960
Speaker 1: out and like had that ship so on point walked in.

766
00:44:03,000 --> 00:44:05,359
Speaker 1: I was like, Yo, people don't know this about you,

767
00:44:05,560 --> 00:44:09,480
Speaker 1: but that's tight here. You like, hold on, motherfucker, I

768
00:44:09,520 --> 00:44:13,000
Speaker 1: gotta get my hair right. And then oh yeah, the

769
00:44:13,000 --> 00:44:15,359
Speaker 1: man's a movie star. You know. He may look tough

770
00:44:15,400 --> 00:44:17,400
Speaker 1: on the screen, but he doesn't work around with his

771
00:44:17,400 --> 00:44:20,040
Speaker 1: hair carecter all right, we are going to take a

772
00:44:20,160 --> 00:44:23,480
Speaker 1: quick break. We'll be right back with Olympics and Bloyd

773
00:44:23,560 --> 00:44:37,880
Speaker 1: watch and we're back and we have air special Olympics

774
00:44:37,920 --> 00:44:47,240
Speaker 1: correspondent Bed for that, Please welcome Sophie Lichterman. Olympic Watch

775
00:44:47,320 --> 00:44:49,360
Speaker 1: with Sophie. Okay, do you want the good news of

776
00:44:49,360 --> 00:44:52,400
Speaker 1: the bad news, let's do the bad news bad news. Okay,

777
00:44:52,560 --> 00:44:55,960
Speaker 1: the USA sucked last night, like it was. It was

778
00:44:56,040 --> 00:44:59,520
Speaker 1: like brutal and like as an American, I was like, wow,

779
00:45:00,160 --> 00:45:03,400
Speaker 1: like we suck like we we are not we It

780
00:45:03,480 --> 00:45:06,560
Speaker 1: was bad. So like I'll give you three, I'll give

781
00:45:06,600 --> 00:45:11,480
Speaker 1: you three examples of us just sucking. Um. So, Mikayla

782
00:45:11,480 --> 00:45:15,040
Speaker 1: Schiffern was in the slam event last night, and she

783
00:45:15,200 --> 00:45:18,080
Speaker 1: was supposed to be the best. But even though Jack

784
00:45:18,160 --> 00:45:22,000
Speaker 1: talked about her yesterday and her interviewing skills, she's just

785
00:45:22,120 --> 00:45:26,879
Speaker 1: got no personality. She's a robot. She's a singularly focused human.

786
00:45:27,080 --> 00:45:30,799
Speaker 1: Yeah personality on you know about she kind of like

787
00:45:31,600 --> 00:45:35,239
Speaker 1: thank you, yes, like you know yeah. But like also

788
00:45:35,239 --> 00:45:37,200
Speaker 1: I lean like some really cool stuff about yesterday, like

789
00:45:37,200 --> 00:45:39,480
Speaker 1: she's the Queen of naps, Like that's pretty cool. Like

790
00:45:39,840 --> 00:45:44,600
Speaker 1: she's like that. I'm like all about that. And the

791
00:45:44,600 --> 00:45:52,279
Speaker 1: sign of a robot definitely point to robots herself, point

792
00:45:52,360 --> 00:45:55,400
Speaker 1: to Jack of the robot things. So but but okay,

793
00:45:55,440 --> 00:45:57,120
Speaker 1: so they were something they were calling it they're like,

794
00:45:57,120 --> 00:45:59,720
Speaker 1: oh and her first one apparently she's like really nervous.

795
00:45:59,719 --> 00:46:01,880
Speaker 1: Normally she doesn't get nervous, but she just like puked

796
00:46:02,600 --> 00:46:06,839
Speaker 1: and like right before she went listen to this podcast. Yeah,

797
00:46:06,880 --> 00:46:10,160
Speaker 1: she was like Jack O'Brien said, I'm lackluster, like this is. Yeah,

798
00:46:11,960 --> 00:46:15,200
Speaker 1: she is extremely telegenic and a great athlete. He was

799
00:46:15,280 --> 00:46:20,200
Speaker 1: just very Tiger Woods like, she's like one, Yeah, I

800
00:46:20,200 --> 00:46:31,840
Speaker 1: don't like a Woods do. Alright, alright, alright, that ship down.

801
00:46:32,360 --> 00:46:35,879
Speaker 1: So she she wasn't second after the first run, but

802
00:46:35,960 --> 00:46:37,919
Speaker 1: and she didn't interview. She basically said that she felt

803
00:46:37,960 --> 00:46:39,440
Speaker 1: like she had a virus and that's why she was

804
00:46:39,440 --> 00:46:43,279
Speaker 1: throwing up and not because she was nervous. But I

805
00:46:43,320 --> 00:46:45,759
Speaker 1: don't know, you're not allowed to admit you're nervous. You're

806
00:46:45,760 --> 00:46:48,200
Speaker 1: not allowed to make But also like Jordan's flu like symptoms,

807
00:46:48,200 --> 00:46:51,600
Speaker 1: I don't I don't care. Yeah, Jordan's flu game. But

808
00:46:51,640 --> 00:46:54,480
Speaker 1: then she didn't have a game she came forth. Yeah, yeah,

809
00:46:54,560 --> 00:46:59,080
Speaker 1: Kobe didn't have a game like that. Jack, No, I

810
00:46:59,080 --> 00:47:01,719
Speaker 1: know that he was like us through like having the flu.

811
00:47:01,960 --> 00:47:03,640
Speaker 1: I'm sure he probably sure he would, Yeah, I mean

812
00:47:03,640 --> 00:47:07,200
Speaker 1: he took those three throws with a bust of Killers. Anyways, Anyways,

813
00:47:07,960 --> 00:47:12,360
Speaker 1: Jack a she uh she plays fourth, Well, yeah, what

814
00:47:12,400 --> 00:47:16,560
Speaker 1: about Jacobellis. Oh my god, jacob Ellis. I want to

815
00:47:16,640 --> 00:47:20,800
Speaker 1: hug her so bad. You guys like forth to to

816
00:47:21,040 --> 00:47:23,319
Speaker 1: And she didn't meddle like I mean, if you listen

817
00:47:23,320 --> 00:47:25,560
Speaker 1: to yesterday's episode, Jack went in and gave the whole

818
00:47:25,600 --> 00:47:30,799
Speaker 1: sad story about her just just like in her first

819
00:47:30,840 --> 00:47:34,399
Speaker 1: Olympics and like did a trick because she was just

820
00:47:34,840 --> 00:47:36,560
Speaker 1: it was it would be like somebody trying to like

821
00:47:36,640 --> 00:47:41,400
Speaker 1: finish the hundred meter running backwards and then tripping and

822
00:47:41,440 --> 00:47:43,680
Speaker 1: falling on their s and that's kind of what she did.

823
00:47:44,160 --> 00:47:47,400
Speaker 1: And like NBC put out this thing like on Wednesday

824
00:47:47,480 --> 00:47:50,319
Speaker 1: that was like this little like oh I'm chill now,

825
00:47:50,480 --> 00:47:53,120
Speaker 1: I don't think about that. I surf and live in

826
00:47:53,200 --> 00:47:56,279
Speaker 1: so Caill. I'm gonna be great. And then she got

827
00:47:56,360 --> 00:47:59,799
Speaker 1: fourth and like she didn't fall or anything, she didn't

828
00:47:59,840 --> 00:48:02,520
Speaker 1: do dumb tricks. She just lost what these girls need

829
00:48:02,560 --> 00:48:05,840
Speaker 1: to or humans need to be, Like I am nervous

830
00:48:05,840 --> 00:48:08,880
Speaker 1: because it's human to be nervous, and that nervousness is

831
00:48:08,920 --> 00:48:12,560
Speaker 1: going to propel me forward. I need the nervous energy. Stop.

832
00:48:12,920 --> 00:48:14,719
Speaker 1: It's all about looking at your energy, right, And it's

833
00:48:14,760 --> 00:48:16,440
Speaker 1: all about how you define it, because you can you

834
00:48:16,480 --> 00:48:18,600
Speaker 1: can take your nervous energy, say that's fear, or you

835
00:48:18,640 --> 00:48:20,840
Speaker 1: can say this is excitement, and you can channel it

836
00:48:20,880 --> 00:48:23,440
Speaker 1: that way. Y'all have to contextualize your energy, right. But

837
00:48:23,520 --> 00:48:27,400
Speaker 1: Jacob Ellis was like, Okay, I'm totally the chill person.

838
00:48:28,840 --> 00:48:32,600
Speaker 1: In the little left corner of her eyes, she was

839
00:48:32,680 --> 00:48:37,560
Speaker 1: just like, I'm chill. And then she was like fourth place,

840
00:48:38,880 --> 00:48:42,919
Speaker 1: fourth places and is the worst place it is. I'd

841
00:48:42,960 --> 00:48:45,920
Speaker 1: rather her have like fallen, had an excuse, but literally,

842
00:48:46,920 --> 00:48:49,120
Speaker 1: I'm glad she didn't fall Maybe she can come back

843
00:48:49,200 --> 00:48:51,200
Speaker 1: from this because if she had fallen, she would have

844
00:48:51,239 --> 00:48:54,640
Speaker 1: been totally on her own head and just like mentally broken. Yeah,

845
00:48:54,680 --> 00:48:56,239
Speaker 1: I mean, she's kicked it off when she tried to

846
00:48:56,239 --> 00:48:59,239
Speaker 1: do the leon let, but now she doesn't know. Now

847
00:48:59,280 --> 00:49:01,000
Speaker 1: she just knows she is not good enough, which is

848
00:49:01,080 --> 00:49:05,040
Speaker 1: even sadder. No, she's still good en. So moving on

849
00:49:05,080 --> 00:49:12,960
Speaker 1: to my favorite event in the Olympics. Okay, you were

850
00:49:13,000 --> 00:49:15,680
Speaker 1: saying this at work yesterday that yes, you were trying

851
00:49:15,719 --> 00:49:19,560
Speaker 1: to get everybody excited about it. Well, okay, I die

852
00:49:19,600 --> 00:49:23,080
Speaker 1: it's amazing, Like stop, Okay, let's just cut the ship

853
00:49:23,160 --> 00:49:25,040
Speaker 1: and get the bad part over with. Nathan Chen And

854
00:49:25,160 --> 00:49:27,920
Speaker 1: I am not emotionally invested in you anymore. I was

855
00:49:28,000 --> 00:49:32,919
Speaker 1: all about you. They hyped you up so hard, bro,

856
00:49:33,360 --> 00:49:35,239
Speaker 1: Like I also want to hug you, but at the

857
00:49:35,239 --> 00:49:39,000
Speaker 1: same time, I'm like, you fell into sevente place. Yeah,

858
00:49:39,040 --> 00:49:43,479
Speaker 1: that's it's um. Yeah. It really did seem in his case,

859
00:49:43,520 --> 00:49:46,399
Speaker 1: to be a situation where he, yeah, he just didn't

860
00:49:46,440 --> 00:49:49,200
Speaker 1: know how to perform with like ice skaters fault and

861
00:49:49,320 --> 00:49:52,040
Speaker 1: nerves more than any others. But he had been falless

862
00:49:52,160 --> 00:49:55,239
Speaker 1: and like when World Championships and like other competition, it's

863
00:49:55,320 --> 00:49:58,080
Speaker 1: just like the Olympics, like he did that. Yeah, I'm

864
00:49:58,120 --> 00:50:01,840
Speaker 1: gonna be the next level. Cent of my quote unquote

865
00:50:01,840 --> 00:50:04,520
Speaker 1: knowledge about ice skating comes from the movie and the

866
00:50:04,560 --> 00:50:09,319
Speaker 1: subsequent Wikipedia research I did. But you know, nerves matter

867
00:50:09,440 --> 00:50:13,320
Speaker 1: because it makes your ankles swell up. Yeah, and that

868
00:50:13,400 --> 00:50:15,040
Speaker 1: I also I also think a lot of it had

869
00:50:15,080 --> 00:50:16,680
Speaker 1: to do with the fact that, like you know, he's

870
00:50:16,719 --> 00:50:19,759
Speaker 1: eighteen and he had to go after zero Hanu from

871
00:50:19,840 --> 00:50:25,400
Speaker 1: Japan who was literally everything, and like they threw like

872
00:50:25,800 --> 00:50:29,719
Speaker 1: three hundred Winnie the poos after he finished his flawless

873
00:50:29,719 --> 00:50:32,520
Speaker 1: performance and wait what Okay, So he's like, that is

874
00:50:32,560 --> 00:50:36,240
Speaker 1: what you do in figure skating to a great performance.

875
00:50:36,239 --> 00:50:40,960
Speaker 1: All right. So I mean if you watch your skiing,

876
00:50:40,960 --> 00:50:43,120
Speaker 1: you know that they throw like steppings or whatever, but apparent.

877
00:50:43,360 --> 00:50:46,560
Speaker 1: So he's like very superstitious. And so during competition he

878
00:50:46,600 --> 00:50:48,960
Speaker 1: has a tissue box that's covered with like a fuzzy

879
00:50:49,000 --> 00:50:50,759
Speaker 1: Winnie the Pooh and it's like his thing, Like he'll

880
00:50:50,760 --> 00:50:53,600
Speaker 1: have it in interviews, like it's his thing. And the

881
00:50:53,640 --> 00:50:57,960
Speaker 1: ice was covered in Winnie the Poo's and then it

882
00:50:58,000 --> 00:51:00,759
Speaker 1: was Nathan Channon. It was right, I would screw with me.

883
00:51:00,920 --> 00:51:02,759
Speaker 1: But let's let's talk about what I really wanted to

884
00:51:02,760 --> 00:51:07,160
Speaker 1: talk about, which is Adam Rupon's outfit. Okay, and like

885
00:51:07,239 --> 00:51:09,839
Speaker 1: not a lot of men can pull off the leather

886
00:51:10,239 --> 00:51:14,400
Speaker 1: sequence and sheer fabric look and like you did, and

887
00:51:14,400 --> 00:51:16,520
Speaker 1: like America is very thirsty for him. If you've been

888
00:51:16,520 --> 00:51:19,879
Speaker 1: on the New York Times today, there's literally the thirstiest

889
00:51:20,160 --> 00:51:22,759
Speaker 1: article I've every single in my life, called for clicks

890
00:51:22,760 --> 00:51:26,080
Speaker 1: and thirsty for I mean, I'm just gonna show the

891
00:51:26,120 --> 00:51:28,760
Speaker 1: secret behind Adam Ruepon's Olympic abs. And it's like zoom

892
00:51:28,840 --> 00:51:35,600
Speaker 1: that is at the New York Times yes, doesn't every

893
00:51:35,640 --> 00:51:42,800
Speaker 1: Olympic athlete have a great body, Yeah, but terrible body.

894
00:51:42,880 --> 00:51:46,959
Speaker 1: But it's like not always like Adam Rupon, where like

895
00:51:47,280 --> 00:51:54,839
Speaker 1: he's just everything, like I love him, reciprocate. You know.

896
00:51:55,080 --> 00:52:00,560
Speaker 1: That's for anybody who's reading that article hope in their

897
00:52:00,600 --> 00:52:02,759
Speaker 1: heart that they would get Adam Rippon. As we were

898
00:52:02,800 --> 00:52:05,839
Speaker 1: just talking yesterday about how like he was complaining that

899
00:52:06,040 --> 00:52:09,920
Speaker 1: figure skaters have eating disorders and how he felt bad

900
00:52:09,960 --> 00:52:13,000
Speaker 1: when he ate a salad with salmon on it because

901
00:52:13,160 --> 00:52:18,760
Speaker 1: it had like creamy dressing. Two pieces of his diet

902
00:52:19,080 --> 00:52:21,600
Speaker 1: prior to he's he's had an eating story where he

903
00:52:21,640 --> 00:52:23,880
Speaker 1: was literally eating Is that in that article about how

904
00:52:23,920 --> 00:52:28,799
Speaker 1: you get Adam? But it's just because this is not

905
00:52:28,880 --> 00:52:32,160
Speaker 1: within this last year, so like he was eating three

906
00:52:32,160 --> 00:52:35,319
Speaker 1: pieces of wheat toasts with I can't believe it's not

907
00:52:35,360 --> 00:52:39,239
Speaker 1: butter and subsequenting meals with coffee, Like that's really we

908
00:52:39,320 --> 00:52:43,080
Speaker 1: need we Okay, we should not have articles like yeah,

909
00:52:43,440 --> 00:52:47,040
Speaker 1: and all the women have such tiny, little sinewy bodies.

910
00:52:47,520 --> 00:52:50,200
Speaker 1: But also like yesterday, like there was also something really

911
00:52:50,200 --> 00:52:53,560
Speaker 1: weird but cool shit happening, Like Olympic ethics are really quirky,

912
00:52:53,600 --> 00:52:58,160
Speaker 1: you guys, We had this Yeah. Well, speaking of robots,

913
00:52:58,160 --> 00:53:01,399
Speaker 1: we had this really cool South Korean and who won

914
00:53:02,239 --> 00:53:05,200
Speaker 1: the skeleton with a fucking iron man helmet on and

915
00:53:05,280 --> 00:53:09,160
Speaker 1: he was amazing. Yeah, that's so into it. It was,

916
00:53:09,360 --> 00:53:12,120
Speaker 1: you know, like Olympic ethics are quirky. We had an

917
00:53:12,120 --> 00:53:15,239
Speaker 1: Olympic athlete in the women's snow cross wearing like she

918
00:53:15,320 --> 00:53:18,800
Speaker 1: draws on a mustache for good luck, Like Olympic athletes

919
00:53:18,840 --> 00:53:24,080
Speaker 1: are here for the shenanigans, and right, I mean a

920
00:53:24,160 --> 00:53:30,600
Speaker 1: mustache drawn. She just into it. You are going on here, guys,

921
00:53:30,719 --> 00:53:33,640
Speaker 1: and there's a lot more to come, all right, there's

922
00:53:33,680 --> 00:53:39,080
Speaker 1: a lot more comfortable Olympic both review and preview. Review

923
00:53:39,120 --> 00:53:43,120
Speaker 1: and preview preview. Uh, it is time for Floyd watch.

924
00:53:44,400 --> 00:53:46,600
Speaker 1: And we had two stories that we wanted to highlight.

925
00:53:47,360 --> 00:53:50,040
Speaker 1: The one story that is kind of all over the

926
00:53:50,080 --> 00:53:55,879
Speaker 1: most covers right now is Sarah Jessica Parker versus Kim Cotrell. Uh.

927
00:53:56,400 --> 00:53:59,640
Speaker 1: These two are in a feud. Yes, I don't know

928
00:53:59,800 --> 00:54:03,080
Speaker 1: much about them. From what I understand, Kim controls sibling

929
00:54:03,080 --> 00:54:06,720
Speaker 1: passed away, very tragic, and then Sarah Jessica Parker offered

930
00:54:06,719 --> 00:54:09,759
Speaker 1: her condolences in public in public, and Kim coatroll was

931
00:54:09,800 --> 00:54:13,000
Speaker 1: like funk out of here, which is a very strong

932
00:54:13,160 --> 00:54:16,040
Speaker 1: message to stend like maybe just be like okay, that's fine.

933
00:54:16,520 --> 00:54:19,680
Speaker 1: But yes, I guess they're they have beef extending back

934
00:54:19,719 --> 00:54:22,680
Speaker 1: to like just since time and Memorial, which Sarah Jessica

935
00:54:22,719 --> 00:54:25,600
Speaker 1: Parker was not aware of. She was like, yeah, I

936
00:54:25,640 --> 00:54:28,880
Speaker 1: thought we were friends, but did she though? Yeah, I

937
00:54:28,920 --> 00:54:31,640
Speaker 1: don't know. I always believe sp I mean, I mean

938
00:54:31,680 --> 00:54:34,280
Speaker 1: in her defense, Kim Coatrall, you know, she's an interesting character.

939
00:54:34,600 --> 00:54:37,759
Speaker 1: So we our favorite clip here at the Daily Zychist

940
00:54:38,160 --> 00:54:40,879
Speaker 1: that I don't think we've shared with our listeners yet

941
00:54:41,160 --> 00:54:44,840
Speaker 1: is something that Miles found and showed us. Uh, Miles,

942
00:54:44,840 --> 00:54:46,440
Speaker 1: do you want to set us up? Yes, it was

943
00:54:46,520 --> 00:54:48,759
Speaker 1: like a puff piece I think ABC or something did

944
00:54:48,760 --> 00:54:50,200
Speaker 1: on her when she's like at the height of her

945
00:54:50,440 --> 00:54:52,799
Speaker 1: sex in the city powers and like, you know, it's

946
00:54:52,800 --> 00:54:55,040
Speaker 1: like what's a day like for Kim Caltrall. And so

947
00:54:55,080 --> 00:54:57,200
Speaker 1: this is her and her husband at the time. He

948
00:54:57,239 --> 00:55:00,680
Speaker 1: plays upright bass and it's pretty good. Yeah, he's like

949
00:55:00,719 --> 00:55:03,200
Speaker 1: he's decent. It's her husband at the time, Mark Levinson

950
00:55:03,280 --> 00:55:05,840
Speaker 1: doing okay on the upright bass and she's scats. Apparently

951
00:55:05,840 --> 00:55:09,640
Speaker 1: she's a jazz singer. So check out this mind blowing

952
00:55:09,719 --> 00:55:14,520
Speaker 1: scats session from Kim C. Kim Catrell, I read poetry

953
00:55:15,000 --> 00:55:21,960
Speaker 1: and sonnets and he plays the upright bass wind dog

954
00:55:22,080 --> 00:55:32,640
Speaker 1: latinly quoth u J sound feeling. Yes, he bit all

955
00:55:32,680 --> 00:55:34,760
Speaker 1: the he dogs and twinked at all the sheet dogs.

956
00:55:34,800 --> 00:55:37,960
Speaker 1: The town never been such a hullabaloo with that little

957
00:55:38,000 --> 00:55:44,320
Speaker 1: dog raised till the end of the end. Oh yeah,

958
00:55:44,440 --> 00:55:48,279
Speaker 1: now we're cooking with gats. The crazy thing is she

959
00:55:48,280 --> 00:55:51,240
Speaker 1: has a music stand in front of her like she's reading.

960
00:55:52,840 --> 00:55:55,520
Speaker 1: She set it up. She scats her poems, but she scattered.

961
00:55:55,960 --> 00:56:00,239
Speaker 1: I was about free style. Come fine, she was making

962
00:56:00,239 --> 00:56:02,520
Speaker 1: a new farm. Don't come into the cipher with written's

963
00:56:03,880 --> 00:56:05,640
Speaker 1: fresh off the top of the dome. Don't come in

964
00:56:05,640 --> 00:56:08,520
Speaker 1: with spitting written's in here. Yeah, you set it up

965
00:56:08,880 --> 00:56:12,000
Speaker 1: like it was going to be very good. I don't

966
00:56:12,040 --> 00:56:15,520
Speaker 1: think scatting can be good like I think Mr Scatman.

967
00:56:16,440 --> 00:56:20,799
Speaker 1: Yeah you know, yeah, I mean again, it's it's a

968
00:56:20,840 --> 00:56:23,120
Speaker 1: it's an old it's a dated musical form. So clear.

969
00:56:24,040 --> 00:56:27,080
Speaker 1: But I'm team Sarah Jessica Parker. Now, thank you one

970
00:56:27,120 --> 00:56:31,960
Speaker 1: single clip. Kim Control was definitely a crazy person on set.

971
00:56:32,760 --> 00:56:35,279
Speaker 1: I'm with you. Sarah Jessica Parker. I waited on the

972
00:56:35,320 --> 00:56:38,040
Speaker 1: whole cast back in my first job as a pool

973
00:56:38,080 --> 00:56:40,480
Speaker 1: boy slash butler at the Soho House in New York,

974
00:56:40,760 --> 00:56:45,160
Speaker 1: and I am aggressively team s JP based on just that.

975
00:56:45,200 --> 00:56:48,200
Speaker 1: Interr waited on the whole cast. So how is Kim control?

976
00:56:49,160 --> 00:56:54,320
Speaker 1: She just was not interesting, not not interested in dealing

977
00:56:54,320 --> 00:56:58,040
Speaker 1: with anybody or anything like mean or anything. She's just like,

978
00:56:58,640 --> 00:57:01,520
Speaker 1: you know, didn't look at anybody. This is your chance

979
00:57:01,560 --> 00:57:08,200
Speaker 1: because is just magnetic. She walks into a room and

980
00:57:08,360 --> 00:57:10,719
Speaker 1: you feel it in love with her. I did a

981
00:57:10,760 --> 00:57:13,560
Speaker 1: little bit. Yeah, no, I get it now, I get

982
00:57:13,560 --> 00:57:18,160
Speaker 1: the strong defense. I'm gonna be Switzerland in this one.

983
00:57:18,280 --> 00:57:23,600
Speaker 1: Yeah you do? You are? Is that? Isn't there a

984
00:57:23,640 --> 00:57:25,560
Speaker 1: part of that clip where she's like do you believe it?

985
00:57:25,600 --> 00:57:27,720
Speaker 1: I like didn't have any lessons or like I never

986
00:57:27,800 --> 00:57:30,280
Speaker 1: knew how to scaut before, Like she she was like,

987
00:57:30,320 --> 00:57:32,200
Speaker 1: it just came to me here she says it like

988
00:57:32,280 --> 00:57:36,520
Speaker 1: later on, Yeah, it's amazing. She thinks she's good because

989
00:57:36,640 --> 00:57:40,400
Speaker 1: people probably were like, wow, it was amazing, because that's

990
00:57:40,440 --> 00:57:41,640
Speaker 1: what happens to have a bunch of sick of fans

991
00:57:41,640 --> 00:57:44,960
Speaker 1: around like they're awkwardly being like, oh, he's like what

992
00:57:45,000 --> 00:57:47,800
Speaker 1: do you think? Like that was great? Yeah? Mark? You

993
00:57:47,920 --> 00:57:51,160
Speaker 1: see Mark? Do you see? And he's just burning up

994
00:57:51,240 --> 00:57:54,880
Speaker 1: and because he's probably I went to the Berkeley College

995
00:57:54,880 --> 00:57:58,760
Speaker 1: of Music to p I knew about here just Bush

996
00:57:58,920 --> 00:58:01,000
Speaker 1: this is is like one thing he does to be

997
00:58:01,200 --> 00:58:03,600
Speaker 1: like by himself and like have some alone time in

998
00:58:03,640 --> 00:58:08,280
Speaker 1: his life. Like, Hey, I'm gonna come and over play

999
00:58:08,320 --> 00:58:12,080
Speaker 1: one of those songs. Okay, here we go. Scot was

1000
00:58:12,120 --> 00:58:16,760
Speaker 1: one of the lyrics, big Horse, big Donkey, free Donkey.

1001
00:58:16,960 --> 00:58:20,520
Speaker 1: I think she was just making noises at first. Yeah.

1002
00:58:20,680 --> 00:58:24,400
Speaker 1: Well that's the magic of her is that everybody here's

1003
00:58:24,400 --> 00:58:27,000
Speaker 1: a different thing. And then, Uh, the other thing that

1004
00:58:27,080 --> 00:58:30,600
Speaker 1: we knew going way back, because we were paying attention

1005
00:58:30,640 --> 00:58:36,479
Speaker 1: to the uh tabloids, is that they are like lead

1006
00:58:36,480 --> 00:58:40,720
Speaker 1: blockers for Donald Trump. Uh. There an Harvey Weinsey right.

1007
00:58:40,800 --> 00:58:45,000
Speaker 1: They are owned by American Media, Inc. Which is run

1008
00:58:45,080 --> 00:58:49,600
Speaker 1: by one of Donald Trump's homies, and he apparently bought

1009
00:58:49,720 --> 00:58:52,800
Speaker 1: the story from Karen McDougall. So there's a story coming

1010
00:58:52,800 --> 00:58:55,680
Speaker 1: out right now another porn star who Donald Trump had

1011
00:58:55,680 --> 00:58:59,200
Speaker 1: an affair with ten years ago. Uh, and you know

1012
00:58:59,480 --> 00:59:02,760
Speaker 1: she is now like talking to Ronan Pharaoh in The

1013
00:59:02,760 --> 00:59:06,240
Speaker 1: New Yorker. But a year ago, right before the election,

1014
00:59:06,560 --> 00:59:10,520
Speaker 1: she sold her story to American Media, Inc. And they

1015
00:59:10,600 --> 00:59:13,400
Speaker 1: just sat on it. They just killed it. It's basically

1016
00:59:13,400 --> 00:59:17,960
Speaker 1: a it's a thing they do called buy and kill

1017
00:59:18,160 --> 00:59:22,280
Speaker 1: or something like that, where they so he just bought

1018
00:59:22,360 --> 00:59:25,560
Speaker 1: the story to block it from coming out. So Trump

1019
00:59:25,600 --> 00:59:28,960
Speaker 1: had all sorts of buddies, Like you know, his lawyer

1020
00:59:29,080 --> 00:59:30,800
Speaker 1: was just out of the kindness of his own heart,

1021
00:59:30,920 --> 00:59:34,320
Speaker 1: paying off Stormy Daniels and something. The wording of his

1022
00:59:34,360 --> 00:59:37,920
Speaker 1: ship is weird though, too, because he's like, I facilitated

1023
00:59:38,080 --> 00:59:41,480
Speaker 1: a payment. You're like, oh, okay, okay, he signed a

1024
00:59:41,600 --> 00:59:43,600
Speaker 1: check or like you know, in the home, he just

1025
00:59:43,600 --> 00:59:47,520
Speaker 1: gave you the cash on the side, but wouldn't really

1026
00:59:47,520 --> 00:59:51,480
Speaker 1: have affected anything. Who knows, Who knows? Anna, It has

1027
00:59:51,520 --> 00:59:54,560
Speaker 1: been a pleasure having you. It's been a pleasure meeting here.

1028
00:59:54,600 --> 00:59:57,840
Speaker 1: Where can people find you? On the internet. You can

1029
00:59:57,880 --> 01:00:01,920
Speaker 1: find me on Instagram at add comics with an X

1030
01:00:02,320 --> 01:00:07,000
Speaker 1: by Anna A N N A. I do uh somewhat

1031
01:00:07,120 --> 01:00:12,560
Speaker 1: daily web comic about depression and anxiety and cheese lactose

1032
01:00:12,600 --> 01:00:15,160
Speaker 1: intolerant and do you do it from the perspective like

1033
01:00:15,200 --> 01:00:18,160
Speaker 1: you wish like, are you like aerial and Little Mermaid

1034
01:00:18,240 --> 01:00:19,800
Speaker 1: like you won't be part of their world. I have

1035
01:00:19,880 --> 01:00:23,160
Speaker 1: not gone a day without eating cheese for the last

1036
01:00:23,600 --> 01:00:27,480
Speaker 1: so you're just fighting through this ship. Yeah. I think

1037
01:00:27,480 --> 01:00:30,480
Speaker 1: about it every day. I'm deeply lactose intolerant, and every

1038
01:00:30,520 --> 01:00:32,480
Speaker 1: day I wake up, I'm like, I'm not gonna have cheese,

1039
01:00:32,680 --> 01:00:37,160
Speaker 1: and literally every day I break and I'm like, oh,

1040
01:00:37,200 --> 01:00:39,800
Speaker 1: but it's just it's right there, or like I just

1041
01:00:39,880 --> 01:00:42,440
Speaker 1: feel like pizza and I pay for it every day.

1042
01:00:43,720 --> 01:00:46,480
Speaker 1: Carry around lactat in his pocket. That's what a good

1043
01:00:46,480 --> 01:00:49,040
Speaker 1: boyfriend does. It is right, he should all eat. My

1044
01:00:49,040 --> 01:00:52,640
Speaker 1: wife is lactose intolerant and I'm just like, dude, you better.

1045
01:00:55,240 --> 01:00:57,760
Speaker 1: But then he's like he's too much of a pushover.

1046
01:00:57,840 --> 01:01:01,000
Speaker 1: He'll be like okay, well yeah, and I'm like, what

1047
01:01:01,040 --> 01:01:02,760
Speaker 1: you need is like a candy necklace, like you can

1048
01:01:02,760 --> 01:01:04,160
Speaker 1: get in the crack in the day. But all that

1049
01:01:05,720 --> 01:01:10,080
Speaker 1: just that I always forget to carry it around. Miles

1050
01:01:10,080 --> 01:01:11,800
Speaker 1: Where can people find you? You can find me on

1051
01:01:11,800 --> 01:01:15,040
Speaker 1: Twitter and Instagram at Miles of Great. You can follow

1052
01:01:15,080 --> 01:01:17,720
Speaker 1: me at Jack Underscore ol Brian on Twitter. You can

1053
01:01:17,720 --> 01:01:20,600
Speaker 1: follow us at daily Zeitgeist. We are at the Daily

1054
01:01:20,680 --> 01:01:24,280
Speaker 1: Zeitgeist on Instagram. We have Facebook fan page just search

1055
01:01:24,400 --> 01:01:27,240
Speaker 1: Daily Zeitgeist, and we have a website Daily zeitgeist dot

1056
01:01:27,280 --> 01:01:29,640
Speaker 1: com where we post our episodes under our foot nope,

1057
01:01:30,800 --> 01:01:35,320
Speaker 1: where we post the articles and sources for the information

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01:01:35,560 --> 01:01:39,720
Speaker 1: that we talked about to day. Uh. And that's gonna

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01:01:39,760 --> 01:01:43,120
Speaker 1: do it for today's episode. Please rate and review the

1060
01:01:43,120 --> 01:01:47,880
Speaker 1: show on Apple Podcasts or don't whatever. I'm being told

1061
01:01:47,880 --> 01:01:51,360
Speaker 1: I was too desperate, So whatever, We're not desperate. But

1062
01:01:51,840 --> 01:01:55,560
Speaker 1: you know, if you do and you screencap your review,

1063
01:01:56,000 --> 01:01:59,480
Speaker 1: I will read it here on the podcast, uh lovingly,

1064
01:01:59,800 --> 01:02:03,720
Speaker 1: but it I don't care. Whatever. So anyways, that's gonna

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Speaker 1: do it for this week. Another season in the books,

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01:02:06,880 --> 01:02:10,800
Speaker 1: you guys, Season eight team, what a season. Uh. We

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Speaker 1: will be back on Monday. Uh, and we'll be back

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Speaker 1: with a special episode because we are off Monday, but

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01:02:16,200 --> 01:02:20,479
Speaker 1: we are doing a special uh reading should we should

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01:02:20,520 --> 01:02:22,880
Speaker 1: we let's just tease it. No, let's just let them know.

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Speaker 1: Apparently you guys really liked when we read thee Quincy

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01:02:26,640 --> 01:02:29,760
Speaker 1: Jones interview. Uh. You know, so we're gonna we're gonna

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01:02:29,800 --> 01:02:32,680
Speaker 1: make good on our promises that I tease. We will

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01:02:32,720 --> 01:02:35,360
Speaker 1: actually be doing a full reading of a few different

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01:02:35,400 --> 01:02:38,760
Speaker 1: Quincy Jones interviews that I think will be up entertaining

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01:02:38,880 --> 01:02:41,520
Speaker 1: for the masses. So we're doing that so we can

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01:02:41,560 --> 01:02:44,200
Speaker 1: take a day off and you know, respect forty four

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01:02:44,200 --> 01:02:47,440
Speaker 1: out of forty five presidents and uh, you know, I

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01:02:47,440 --> 01:02:49,720
Speaker 1: hope you'll have a good weekend. Yeah, we'll be back

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01:02:49,720 --> 01:02:52,880
Speaker 1: on Tuesday with news guys. Back Monday with that special

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01:02:52,920 --> 01:03:01,680
Speaker 1: episode talk to You Guys. Then by that part of