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Speaker 1: Hello the Internet, and welcome to season forty, episode three

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Speaker 1: of The Daily Eight Guys. For July eighteenth, two thousand

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Speaker 1: and eight teen. My name is Jack O'Brien a K

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Speaker 1: big old Jack O'Brian starting out the ZI Gangs day, Oh,

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Speaker 1: big old jack o Bryan because the news is less

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Speaker 1: depressing this way. Oh yeah you courtesy of at Bay

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Speaker 1: of Becca beck A Yard Listen to the Tuna, a

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Speaker 1: big old jet airliner by one Steve Miller Band. Yes, uh,

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Speaker 1: like you didn't know I didn't always rocking out to

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Speaker 1: classic seventies says you know I am. I am thrilled

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

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Speaker 1: Miles Grist, So I'm mouse Gray. Just keep it with

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Speaker 1: the Zight Gang because everybody spoused and now so my

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Speaker 1: mouth ray yeah because they eating and U when I

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Speaker 1: knew anyway, I'm like, I could keep going all day.

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Speaker 1: I love TLC and shout out to Ambergreen at K

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Speaker 1: zero H four Ku or maybe you were supposed to

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Speaker 1: be Kohaku. I don't know, maybe that that's what you're

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Speaker 1: trying to do some cold but yeah, shout out to

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Speaker 1: you for that. TLC inspired a K A fun fact

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Speaker 1: during the after the north Ridge quake, the only TV

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Speaker 1: channel that came in on my TV was the Box,

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Speaker 1: you know, the music music video thing just call in,

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Speaker 1: And for whatever reason to that that video creep came

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Speaker 1: on fucking solid loose. Remember my dad cooking frozen food

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Speaker 1: outside because we had to use a grill because there's

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Speaker 1: no gas, and the struggle was real speaking but not

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Speaker 1: as it was Puerto Rico speaking of quakes, Shout out

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Speaker 1: to London, where they're experiencing what they seemed to think

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Speaker 1: our earthquakes two point something on the Richter scale, but

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Speaker 1: as cute uh. And meanwhile, we in l A are

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Speaker 1: experiencing uh fun the field up to the point that

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Speaker 1: everybody in our building just ran outside and was like

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Speaker 1: looking around to see what just exploded, because you never

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Speaker 1: get thunder and long. The police looks confused, they're pointing

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Speaker 1: their guns in the sky. Our neighbor literally turned me

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Speaker 1: and said what was that? And I said, thundering, NA

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Speaker 1: can't be Anyways, we are thrilled to be joined in

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Speaker 1: our third seat. The co creator and writer of the

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Speaker 1: web comic Harsh Mellow, podcaster with Black Girl Nerds, a

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Speaker 1: proud Hufflepuff and member of the water Tribe. Please welcome

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Speaker 1: Joel Monique. Hey that is a super old bio literally

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Speaker 1: update that hilarious. Hey, I like it. I enjoyed it.

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Speaker 1: I'm glad. What does Hufflepuff me like your intellect? No,

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Speaker 1: Hufflepuff is like they'd be the stoners. They're warmens by

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Speaker 1: the kitchen. They're just like night loving people. Yeah, because

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Speaker 1: I was wondering when people like be like y'ah' more

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Speaker 1: this school because I don't really funk with Harry Potter,

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Speaker 1: so I don't. I just know slyther In Slytherin bad.

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Speaker 1: So they're in awesome, but they are can also be racist.

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Speaker 1: It's just you have to run across the right kinds

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Speaker 1: of Lutherans. There's hope, Okay, so there's good ones and

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Speaker 1: bad ones. Well, Joel, we're about to get to know

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Speaker 1: you in a more up to date fashion, but first

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Speaker 1: we want to take our listeners through what they're about

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Speaker 1: to find out from us. We're gonna talk about Google

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Speaker 1: getting fined five bills by the EU and what what

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Speaker 1: Google like? What what are they doing? What is their

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Speaker 1: end game here? Why do they make so much money?

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Speaker 1: And how it affects you. Guys. We're gonna talk how

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Speaker 1: Russian media responded to the Trump putin, Uh stand up

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Speaker 1: was standing. We're gonna talk about just outright corruption. Couple

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Speaker 1: examples of that real new person who they have nominated

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Speaker 1: to confirm the confirmed to head up the Department of

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Speaker 1: Justice Criminal Division. We're gonna talk about out why you're

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Speaker 1: all of a sudden hearing ship talked about Montenegro from

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Speaker 1: the Trump administration and his state run media like Tucker Carlson.

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Speaker 1: We're gonna ask where Congress is. Uh. We're gonna talk

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Speaker 1: about the Manifort trial, and then we're gonna talk about

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Speaker 1: how MGM resorts are suing one thousand victims around a

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Speaker 1: thousand victims involved in the Vegas shooting, and finally take

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Speaker 1: a look at Elon Musk's weird history with pedophiles and

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Speaker 1: Diarrhea Fest two thousand eighteen. You'll find out what that

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Speaker 1: means at the end of our show. But first, Joel,

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Speaker 1: we like to ask our guests, what is something from

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Speaker 1: your search history that's revealing about who you are? I

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Speaker 1: recently googled where can I pick up my comic con badge?

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Speaker 1: And I feel like that is all I've been googling

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Speaker 1: about it's just badges and train systems and schedules and

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Speaker 1: all of that. It's just Comic Concentral in the brain.

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Speaker 1: You got a media badge's can be on the second floor.

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Speaker 1: I want to say. I want to say I was

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Speaker 1: there last year. Shame I'm not there this year. It's

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Speaker 1: a good time. I'm looking forward to. It's my first

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Speaker 1: official year. I went two years ago. I was able

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Speaker 1: to sneak in twice. And then the guards were like

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Speaker 1: the friend not even like I just wore a lanyard like,

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Speaker 1: and then I was once you're inside, like, they don't

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Speaker 1: really care, well, how did you get through the gate

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Speaker 1: because you normally have to hit your badge through. So

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Speaker 1: they just implemented though, so I like skip. This is

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Speaker 1: when they would just like put a bunch of guards

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Speaker 1: by the front door scanning, so you know, I have

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Speaker 1: a sweet face. I'd just be like, hi, by I

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Speaker 1: gotta go. And it was great. I'm a bunch of

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Speaker 1: my heroes. But yeah, this year, it's official, legit. I'm

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Speaker 1: really excited. What are you most excited about? To see

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Speaker 1: you down there? Party? So many industry party invites for

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Speaker 1: the first time ever, and so I'm like, I'm gonna

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Speaker 1: go hang about my friends. This is where my friends

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Speaker 1: going to be superstars here. So it's amazing. What is

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Speaker 1: something you think is overrated? Overrated? I think unplugging is overrated.

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Speaker 1: I think we've been told a lot, you know, like

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Speaker 1: log off, like let your brain rest. You don't always

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Speaker 1: need to be the world is in chaos, like you

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Speaker 1: should know and be aware of what's going on. And

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Speaker 1: if you don't, I feel like whenever I am plug

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Speaker 1: I'm just thinking about like what's happened now, like I'm

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Speaker 1: clearly I'm and then usually you have missed something and

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Speaker 1: it's important, But do you see any any value too,

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Speaker 1: like because I don't. For me personally, I've I've realized

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Speaker 1: I've slowly become more and more like attentive to other

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Speaker 1: social media like news things just for the show. And

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Speaker 1: I've realized like I'm not creating sort of I'm not

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Speaker 1: cutting out time to allow myself rest. You, I feel

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Speaker 1: like there's a good way to be organized about it.

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Speaker 1: So like I like the Atlantic and BBC, so let's

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Speaker 1: just start there. In the morning, I'll do my Twitter

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Speaker 1: feed and maybe like twenty minutes and no, I try,

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Speaker 1: I really try to limit the time I'm on Instagram

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Speaker 1: stories but they're so addictive, but you know, like and

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Speaker 1: then I feel like, you know, you don't have to

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Speaker 1: read everything. I think there's definitely limits are good and healthy.

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Speaker 1: But I think people who are like I just I

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Speaker 1: can't look at the news like it's just so depressing.

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Speaker 1: What will we do? And I'm like, we can't do anything. No,

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Speaker 1: that's bullshit, Like I definitely do something, and you should

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Speaker 1: definitely be at the very least, like treason is happening,

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Speaker 1: you should know. I can't bury your head in the

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Speaker 1: sad right now, that's for sure, because that's the things

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Speaker 1: are changing very quickly. I definitely get the unplugged, like

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Speaker 1: not paying attention to something, anxiety where you're like, something's happening.

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Speaker 1: I know I need to like get back on that.

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Speaker 1: Like if I just don't check Twitter for too long,

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Speaker 1: I'm like, this is not good something. It's gonna be

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Speaker 1: too much hitting me all at once. My brain is

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Speaker 1: just gonna not know how to react. I want to

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Speaker 1: install like a flat screen like at the YouTube space

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Speaker 1: they have just a running like scroll feed of their Twitter.

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Speaker 1: If I could just do that so I could be

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Speaker 1: like writing and then the up and be like okay,

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Speaker 1: like we're arming ourselves. Good to know, and I go

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Speaker 1: back to doing work. I just I can't do like

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Speaker 1: through seeing and I see it and like the harp

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Speaker 1: on one topic of day and then just like plow

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Speaker 1: through it and I'm like, I can't watch another twelve

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Speaker 1: hours of this. That's yeah, love BBC becase they're like,

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Speaker 1: we're gonna give you a whole ascid global perspective. You're

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Speaker 1: gonna be way informed. It's been kind of my background

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Speaker 1: noise slash check in the world lately. Check out this podcast,

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Speaker 1: The Daily Zy Guys. I love you guys. Where would

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Speaker 1: I get my music recommendations? It is, I mean just

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Speaker 1: a warning, it is a second podcast. What is something

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Speaker 1: you think is underrated? Um? I think the fact that

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Speaker 1: we're living in a world with universal storytelling in other words,

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Speaker 1: storytelling across media platforms is highly highly underrated. Like these

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Speaker 1: are the kind of things I thirsted for as a child.

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Speaker 1: I was like, you know, my cartoons over, but I

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Speaker 1: would love to play like a Doug video game. Where

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Speaker 1: is my chance to explore this universe? Is like Patty Maynet,

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Speaker 1: Like there's just too many opportunities for storytelling and I

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Speaker 1: don't think we've merely tapped into the greatness and the

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Speaker 1: power of it, like Disney is beginning to scratch the

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Speaker 1: surface through Star Wars, like Brogue was a really interesting perspective,

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Speaker 1: but then it was right back to the Dusk Star

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Speaker 1: and we were dealing with thing like we have an

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Speaker 1: entire university show me an alien who just like runs

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Speaker 1: a grow free store on a Disney planet, Like, how

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Speaker 1: is that guy's life affected by the Empire. There's just

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Speaker 1: so like many opportunities for dope storytelling, and especially with

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Speaker 1: the advent of VR happening right now, I think we

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Speaker 1: don't take another advantage of it. I hope kids are

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Speaker 1: out there like getting ready to tell their stories. What's

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Speaker 1: the most exciting medium to you or personally one that

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Speaker 1: you would like to get involved. I feel like television

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Speaker 1: is intriguing and that it can tell so many different

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Speaker 1: people's stories so quickly. Um. I feel like you get

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Speaker 1: like through shows like The Brooklyn nine nine and stuff,

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Speaker 1: you get the first kind of melting pot aspects of storytelling. Um.

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Speaker 1: And that's fun. But it would definitely say the most

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Speaker 1: exciting it's video games because we're just now now that

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Speaker 1: we're freed from a traditional controller. I think we have

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Speaker 1: a lot more ways to be involved and interactive in

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Speaker 1: our stories. Isn't there some story that's being told that's

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Speaker 1: like about a fictional high school where it's being told

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Speaker 1: through like Facebook Live and Instagram stories and ship like

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Speaker 1: that stumbled a process, but it makes sense. Yeah, it's

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Speaker 1: apparently big with the kids. I am hip and Um,

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Speaker 1: I really think like a dating Sims Doug video game

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Speaker 1: universe would be dope that needs to happen. 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 know to be false. I'm gonna go with the

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Speaker 1: idea that you only get one chance. Um, it's the

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Speaker 1: thing I think we often tell, like I heard it

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Speaker 1: a lot in college, which is like you want to

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Speaker 1: be totally prepared because you only have one chance to

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Speaker 1: enter this industry, which you're in this entry, you better

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Speaker 1: lose yourself. There's so many people like just trying to

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Speaker 1: build things or just get things off the ground, and

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Speaker 1: you may not hit it off with one person, but

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Speaker 1: the next person will be like intrigued by your ideas.

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Speaker 1: Like I hate the idea that you know if you

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Speaker 1: missed it, stop because who was ever going to look

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Speaker 1: at you again. It's such a trash idea. Well yeah,

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Speaker 1: and it lends to this like scarcity mentality, where opportunity

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Speaker 1: is scarce, resources are scarce, you're already just going to

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Speaker 1: be stingy about ship or that also leads to hate

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Speaker 1: mentality because if if everything is scarce and finite, then

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Speaker 1: you look at somebody else who gets on that person

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Speaker 1: blah blah blah because maybe they took my spot well.

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Speaker 1: And also I've seeing obsession with the young, like this

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Speaker 1: idea of like, well he struck it at nineteen, so

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Speaker 1: he's got it and he'll always have it, and like

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Speaker 1: like I maybe had a one off, Like really good

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Speaker 1: ideas in Hollywood do with a bunch of directors who

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Speaker 1: have like oh they had their hit at Sundance, and

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Speaker 1: now we should put them in charge of a sixty

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Speaker 1: billion dollar movie, Like that's not the guys still new

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Speaker 1: to the craft, Like he's building, but he'll cave to

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Speaker 1: the studios demands, like you ain't brollic enough when I

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Speaker 1: pushed back and be like this ship, yeah, it's like

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Speaker 1: this is my first movie. Fine, I don't want to

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Speaker 1: blow it. You know, he's not going to take our

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Speaker 1: notes but yeah, I think the idea, especially that idea

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Speaker 1: like oh your ship has sailed, and that that is

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Speaker 1: not good because you have infinite opportunities, you know, there's

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Speaker 1: so many Like I think of how many different careers

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Speaker 1: I could have had and how many boats I got

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Speaker 1: on or whatever, and well, so many boats to get

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Speaker 1: on and just live like that too. I think what's

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Speaker 1: good is to change your mentality about it. If not

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Speaker 1: like that you can miss a boat or there is

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Speaker 1: only one shot that you go, there are always fucking

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Speaker 1: opportunity because there there are there are people who I've

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Speaker 1: completely forgot about it, who we took me up sometimes

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Speaker 1: and they're like, hey, what you're doing or whatever. I'm

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Speaker 1: talking to two dudes who just got into their forties.

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Speaker 1: There are comic book writers, and they were like, Joel, no,

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Speaker 1: you don't understand. Like we've been around the block and

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Speaker 1: now everyone knows we are, so we just get invited places.

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Speaker 1: I don't think I'm any more talented than I was

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Speaker 1: five years ago, but forty and people know me. So

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Speaker 1: I think it walked in. It's like if you could

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Speaker 1: hang and you know, you appreciate, enjoy your craft and

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Speaker 1: you're dedicated to it. Eventually you will have some form

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Speaker 1: of success. Yeah. I think that's a really good point

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Speaker 1: because I mean people are doing everything later in life

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Speaker 1: now too. They're having families later in life there, you know,

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Speaker 1: moving out of their parents houses later in life. Like

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Speaker 1: I think we should be a little more patient with

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Speaker 1: our careers. But I think that's the economy too though. Yeah,

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Speaker 1: no for sure, but you know, give yourself a chance, don't. Well,

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Speaker 1: now I have to be an accountant. Screenplay did not sell.

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Speaker 1: Uh yeah, And there's all sorts of like that get cracked.

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Speaker 1: Like a type of story that we had an article

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Speaker 1: that was like people who you know, had lifetimes of

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Speaker 1: failure and then like succeeded at the end, and like

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Speaker 1: Colonel Sanders was just like a lifetime failure. He tried

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Speaker 1: like eighty different things and like all of them, people

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Speaker 1: were like this sucks, man, you really need to And

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Speaker 1: then he opened up like a you know, roadside gas

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Speaker 1: station towards the end of his life and was like, well,

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Speaker 1: I'm really good at making fried chicken, so I'll sell

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Speaker 1: that here, and like it blew up and he became

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Speaker 1: Colonel Sanders. It was right there the whole time. Yeah,

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Speaker 1: Well there's that that could have been. Yeah, I know,

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Speaker 1: but yeah, I guess give yourself, be patient, don't listen

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Speaker 1: to have Scott Fitzgerald with that American life doesn't have

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Speaker 1: second acts. That just his American life didn't because he

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Speaker 1: was not taking good care of himself. All right, let's

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Speaker 1: get into the stories the news of the day, Miles.

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Speaker 1: Google has been fined five billion dollars. Could you imagine

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Speaker 1: they're a five billion dollar bill? A five billion dollars

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Speaker 1: five bills? Baby? Oh h goodness. Actually, I mean let's

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Speaker 1: take this into account. Last year. You know how long

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Speaker 1: it took them to make five billion dollars? Sixteen days?

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Speaker 1: They made five billion dollars every sixteen days. That's crazy, Okay.

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Speaker 1: I mean still, I'm sure they're not taking this sitting down.

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Speaker 1: I'm sure this is not like something they're gonna shrug off.

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Speaker 1: But they're going they're going to appeal. Yeah, they make

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Speaker 1: because they're they're mining all of our down, Miles, how

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Speaker 1: do they make that money? Though? You are like, why

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Speaker 1: is your Gmail free? Why is that Chrome free? Why

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Speaker 1: is everything that Google's you free? Well, that's how is

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Speaker 1: it free? And then they are like they've made more

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Speaker 1: money in the last fifteen years than any other company,

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Speaker 1: Like you know, you keep I keep hearing you know,

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Speaker 1: you're the product. But I don't think it just like

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Speaker 1: doesn't impact my life in a way that is, you know,

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Speaker 1: cause enough damage for me to care that much. Like

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Speaker 1: it's right now. It just happens to be a freaky ways,

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Speaker 1: like you know, we'll go on stock x to look

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Speaker 1: at a sneaker place and then you go on like

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Speaker 1: the Wall Street Journal, and then on the side there's

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Speaker 1: stock X being like I was just looking at this ship.

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Speaker 1: Because Google's like, hey, we know what you're up to,

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Speaker 1: and we know how to serve ads the best way,

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Speaker 1: and yeah, that's how they make their money because they

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Speaker 1: have all of this data they can they can offer

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Speaker 1: to people and it's not very intrusive. It doesn't put

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Speaker 1: me out in any way yet yet. But here is

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Speaker 1: the twist. Now this isn't directly to do with Google,

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Speaker 1: but this has to do with how our data could

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Speaker 1: possibly be used now to set our insurance rates. So

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Speaker 1: pro Publica just did an uh investigation I think with

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Speaker 1: MPR where they were just sort of tracking this growing

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Speaker 1: trend in the healthcare industry where they're kind of starting

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Speaker 1: to cozy up to data companies and combing through piles

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Speaker 1: of data to assess whether people are sort of quote

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Speaker 1: unquote higher ask customers or be able to understand, Oh,

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Speaker 1: maybe this community is going to cost more to ensure,

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Speaker 1: so maybe we need to stay a little work out

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Speaker 1: of there, uh sort of ship. So it started off

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Speaker 1: one of the reporters went to this healthcare expo in

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Speaker 1: San Diego at the Convention Center where Comic Con is

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Speaker 1: ironically enough, but yeah they were. They were showing off

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Speaker 1: all their new products. But like some of the bigger

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Speaker 1: shiny booths where for companies like Lexus Nexus or IBM,

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Speaker 1: Watson and others that sort of collect this publicly available

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Speaker 1: data and offer healthcare providers with quote analysis is what

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Speaker 1: they call it, on certain communities to quote learn more

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Speaker 1: about the community as they serve inherently racists. Well, yes,

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Speaker 1: enable list and all kinds of is that you can

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Speaker 1: think of. So it's you know, there there is a

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Speaker 1: truth to it, but it's also kind of bullshit as

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Speaker 1: much as they want to deny, like, well, we're not

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Speaker 1: really we're just kind of get an idea of what

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Speaker 1: we're like, get a snapshot of the people, because there's

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Speaker 1: really no pro public scrutiny on this. Um. So these

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Speaker 1: companies um from this from the article, they say they're

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Speaker 1: they're tracking your race, education level, TV habits, marital status,

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Speaker 1: net worth, They're collecting what you post on social media,

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Speaker 1: whether you're behind on your bills, what you order online.

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Speaker 1: Then they feed this information into a complicated computer algorithm,

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Speaker 1: and that spits out predictions about how much your health

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Speaker 1: care could cost them. Um. So, for example, if you

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Speaker 1: are a low income and minority, that means the data

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Speaker 1: brokers say you are more likely to live in a

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Speaker 1: dilapidated and dangerous neighborhood, increasing your health risks. Uh. So

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Speaker 1: this is basically we're getting a step closer to some

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Speaker 1: full on black mirror ship where they're they're like, oh,

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Speaker 1: we just we're gonna assume to know you based on

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Speaker 1: this these little bits of data that we have and

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Speaker 1: begin to dictate what your health care is gonna cost,

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Speaker 1: or discriminate against you, uh just because of this algorithm.

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Speaker 1: Because we live in corporatography and they're trying to save money.

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Speaker 1: So yes, I think it's really important that we sort

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Speaker 1: of know about what's going on because when in this country,

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Speaker 1: the consumers us whether it's through taxes or premiums or

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Speaker 1: payments to the insurance companies. We fund the entire fucking

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Speaker 1: in street. So to know about this kind of potential

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Speaker 1: for discriminatory practice is very very alarming. Um so, yeah,

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Speaker 1: they are. Basically, they're like other data scientists who have

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Speaker 1: been really alarmed by this, who like kind of grew

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Speaker 1: grossed out with the work they were doing or they

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Speaker 1: were like, wait, what's this used for? And they're like

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Speaker 1: they just want to know, like if this neighborhood is

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Speaker 1: probably high, you know, high potential for premature death or

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Speaker 1: something like that, or cancer or whatever she has ever

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Speaker 1: done in insurance screening, like life insurance screening, because she

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Speaker 1: gets real very quick there, you know. They every question

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Speaker 1: they ask you is like trying to judge how soon

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Speaker 1: you're going to die, and like you have to determine

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Speaker 1: if you're gonna be honest. My advice would be, don't

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Speaker 1: be honest, just say whatever you think they want. Well, here,

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Speaker 1: I'm a paint huffing based I do a lot of

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Speaker 1: base jumping, like huff paint. I live in a you know,

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Speaker 1: a garage filled with grease rags, and I cook with

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Speaker 1: a blowtorch. So what's my premiums looks like yeah, so yeah,

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Speaker 1: that's what the funk. Yeah, so this is like right

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Speaker 1: now again, everyone's like, no, there's no way we're going

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Speaker 1: to do this because clearly that would that would lead

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Speaker 1: to people trying to identify pre existing conditions through your

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Speaker 1: data and ship like that. And so far, obviously people

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Speaker 1: like Ted Cruz are trying to kneecap the protections that

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Speaker 1: we have from discriminating against people who have pre existing conditions.

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Speaker 1: But this is just kind of, you know, it's getting

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Speaker 1: a little bit darker, and like I think in the

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Speaker 1: course of this investigation, one of the people went up

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Speaker 1: to someone who is representing one of these data companies

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Speaker 1: and it was like, oh, there's kind of like, you know,

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Speaker 1: their potential for like bad stuff, Like no, not really,

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Speaker 1: I mean like we don't think so it's like but

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Speaker 1: you know, you could live on the wrong side of

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Speaker 1: the street and then you know real bad, real quick.

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Speaker 1: And like, well, what the funk are you just saying

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Speaker 1: right now? You're talking about I'm not in trouble, Like

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Speaker 1: I'm there's no chance that I'm going to fall up

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Speaker 1: because I built the system so where I'm prepared. Yeah, yeah,

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Speaker 1: that seems fair that people who have less money are

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Speaker 1: charged more money for having less money. Essentially, yeah, well

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Speaker 1: that's how they you know, that's how they stay profitable. Yeah,

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Speaker 1: but I mean this is this is just a very

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Speaker 1: clear cut way that living in a corporatocracy is not great.

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Speaker 1: And you know you are not going to see Google

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Speaker 1: find five billion dollars in America or by the American

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Speaker 1: system unless you know, things change and there is like

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Speaker 1: a complete change in the paradigm people are using and

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Speaker 1: to vote. Let them think about this. At the very least,

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Speaker 1: we need our representatives in government to protect our information

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Speaker 1: like they do in Europe, you know what I mean,

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Speaker 1: where your personal data is like off the fucking table.

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Speaker 1: Isn't like no no, no, no no. But we don't

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Speaker 1: have that yet. So how long do you think before

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Speaker 1: we become just a straight up feudal system. But like

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Speaker 1: our overlords are like Google and Amazon and Ali Baba,

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Speaker 1: and I mean, like I think we were at the

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Speaker 1: part where like we don't realize that that's sort of

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Speaker 1: happening yet, because there's still some semblance of I don't

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Speaker 1: know this team, do you get to choose? I feel

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Speaker 1: like I've thought about a lot. I think Amazon is

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Speaker 1: gonna be the way to go. They're gonna have like

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Speaker 1: you know, you can get your food delivered. But also yeah,

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Speaker 1: you know they've got the stock. They're gonna have car soon.

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Speaker 1: I mean, Apple seems like the least inherently evil because

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Speaker 1: they at least are selling a thing, so they don't

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Speaker 1: have to like funk Us over by, And I guess

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Speaker 1: Amazon is too. But Amazon's the way the people who

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Speaker 1: work for them are treated or but yeah, no, I've

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Speaker 1: thought about that too. But yeah, when there are only

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Speaker 1: four companies left where we're all gonna have to pick someone,

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Speaker 1: will each other for the death to my corporate overlord Nike. Yes,

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Speaker 1: because I want to look good when the earth is following,

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Speaker 1: I'm going to be by one of the four big ones. Yeah,

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Speaker 1: oh no, talk about talk about talk about We talked

426
00:21:42,240 --> 00:21:45,320
Speaker 1: about this. They're gonna win the franchise Wars, demolition Man Prophesies,

427
00:21:45,440 --> 00:21:52,200
Speaker 1: this a lot of young brands content here up top. Alright, guys,

428
00:21:52,200 --> 00:21:54,240
Speaker 1: we're gonna take a quick break. We'll be right back,

429
00:22:04,520 --> 00:22:08,000
Speaker 1: and we're back, and we wanted to check in with

430
00:22:08,080 --> 00:22:11,199
Speaker 1: the Russian media. I don't know what I expected, but

431
00:22:11,320 --> 00:22:15,720
Speaker 1: I assumed that maybe the Russian state run like literally

432
00:22:15,720 --> 00:22:20,800
Speaker 1: state run media would have some decorum about, you know

433
00:22:21,080 --> 00:22:24,320
Speaker 1: the fact that Trump was like on team Russia. You

434
00:22:24,320 --> 00:22:26,320
Speaker 1: know that they would just be like what, no, no,

435
00:22:26,400 --> 00:22:28,520
Speaker 1: we don't know what you're talking about, but they just

436
00:22:28,720 --> 00:22:32,800
Speaker 1: full on we're like bah, they couldn't believe what they

437
00:22:32,840 --> 00:22:36,679
Speaker 1: saw at the Helsinki pioce. So Julia Davis, who is

438
00:22:36,720 --> 00:22:39,879
Speaker 1: an analyst of Russian media, was like, like she monitors

439
00:22:40,040 --> 00:22:42,879
Speaker 1: Russian state news and sort of tweet stuff out or

440
00:22:42,960 --> 00:22:45,800
Speaker 1: does analysis on her website I think on her side anyway,

441
00:22:45,840 --> 00:22:47,639
Speaker 1: So she was had a couple of tweets. They are

442
00:22:47,720 --> 00:22:50,000
Speaker 1: very interesting. One was like, it's just like this new

443
00:22:50,119 --> 00:22:51,960
Speaker 1: show where they just go through the news stories and

444
00:22:52,000 --> 00:22:53,719
Speaker 1: they have like, you know, the way they do their

445
00:22:53,720 --> 00:22:56,040
Speaker 1: shows are kind of amazing, like they all should look

446
00:22:56,080 --> 00:22:58,800
Speaker 1: like they take place on the set of Who Wants

447
00:22:58,840 --> 00:23:02,240
Speaker 1: to Be a Millionaire? Yeah, crazy or like crypton. I

448
00:23:02,240 --> 00:23:04,920
Speaker 1: don't know one of the two, but yeah, so one

449
00:23:04,960 --> 00:23:06,680
Speaker 1: of them. They're so they're looking at it. They're looking

450
00:23:06,680 --> 00:23:08,760
Speaker 1: at a like a political article and the host says,

451
00:23:08,840 --> 00:23:11,880
Speaker 1: let's analyze Trump's performance at the presser. At which point

452
00:23:11,880 --> 00:23:16,320
Speaker 1: in time could you say he was licking Putin's boots,

453
00:23:16,400 --> 00:23:19,280
Speaker 1: And then they said, why did Arnold Schwarzenegger describe him

454
00:23:19,280 --> 00:23:22,040
Speaker 1: as a wet noodle? He said nothing about the annexation,

455
00:23:22,200 --> 00:23:26,080
Speaker 1: Russian aggression, or script Paul. They were even like, my man,

456
00:23:26,520 --> 00:23:29,160
Speaker 1: where are you at. He's not even bringing up all

457
00:23:29,200 --> 00:23:31,800
Speaker 1: the evil ship we did, right, And then they went

458
00:23:32,040 --> 00:23:35,399
Speaker 1: very Then another person that later the host says, is

459
00:23:35,480 --> 00:23:38,160
Speaker 1: very bizarre. You can't bash your own country like that,

460
00:23:38,320 --> 00:23:41,040
Speaker 1: especially when you're the president. Then the female host says,

461
00:23:41,160 --> 00:23:43,600
Speaker 1: when Trump says our relations are bad because of American

462
00:23:43,680 --> 00:23:46,840
Speaker 1: foolishness and stupidity, he really smells like an agent of

463
00:23:46,880 --> 00:23:53,000
Speaker 1: the Kremlin. Is amazing. And then elsewhere on the media,

464
00:23:53,040 --> 00:23:55,280
Speaker 1: there's a newspaper headline that says the West attempts to

465
00:23:55,280 --> 00:23:59,000
Speaker 1: isolate Russia failed, and rt their reaction was the Cold

466
00:23:59,040 --> 00:24:02,000
Speaker 1: War is over, saying that the US and Russia are

467
00:24:02,000 --> 00:24:04,920
Speaker 1: now allies. Yeah. So, so they weren't shy about spiking

468
00:24:04,960 --> 00:24:07,240
Speaker 1: the football. They were just like we won, they were,

469
00:24:07,320 --> 00:24:09,800
Speaker 1: but also they were kind of like, yo, stay enough

470
00:24:09,800 --> 00:24:12,240
Speaker 1: for hiself, a little bit bro like the victory wasn't

471
00:24:12,240 --> 00:24:15,560
Speaker 1: as satisfying because he just bent over so easily, just

472
00:24:15,680 --> 00:24:18,280
Speaker 1: capitulated I don't know so, or maybe they're just so

473
00:24:18,440 --> 00:24:21,560
Speaker 1: not afraid of him having any sort of backbone or

474
00:24:21,600 --> 00:24:23,359
Speaker 1: coming back at them that they know they can just

475
00:24:23,600 --> 00:24:26,560
Speaker 1: talk open ship. I mean, when you when they're literally saying,

476
00:24:26,720 --> 00:24:29,080
Speaker 1: at which point in time could you say he was

477
00:24:29,200 --> 00:24:34,120
Speaker 1: licking Putin's books? I was like, Okay, yeah, I feel

478
00:24:34,160 --> 00:24:38,040
Speaker 1: like we've entered a new part of the Trump administration

479
00:24:38,080 --> 00:24:40,600
Speaker 1: where they're not even trying to cover shut up anymore

480
00:24:40,640 --> 00:24:42,480
Speaker 1: because the wheels are starting to come off, so you

481
00:24:42,520 --> 00:24:44,480
Speaker 1: gotta just hit the accelerator. I get to sing over

482
00:24:44,480 --> 00:24:47,320
Speaker 1: the finish line. He's lying about things that are not

483
00:24:47,520 --> 00:24:51,680
Speaker 1: possible given the space time continuum and like the laws

484
00:24:51,720 --> 00:24:57,400
Speaker 1: of physics, like you know, yesterday obviously he said that,

485
00:24:57,920 --> 00:25:01,199
Speaker 1: uh you know, he meant to say he doesn't know

486
00:25:01,280 --> 00:25:06,199
Speaker 1: why it wouldn't be Russia, which actually and and he

487
00:25:06,240 --> 00:25:10,680
Speaker 1: also went into this, uh you know, run things back

488
00:25:11,080 --> 00:25:15,239
Speaker 1: my bad press conference by saying this should have been

489
00:25:15,240 --> 00:25:19,760
Speaker 1: obvious to everybody, but I'm an agent of the Kremlin, right,

490
00:25:20,320 --> 00:25:22,400
Speaker 1: But he was like, this should have been obvious to everybody,

491
00:25:22,400 --> 00:25:26,120
Speaker 1: But I meant, I don't know why it wouldn't be Russia.

492
00:25:26,560 --> 00:25:31,240
Speaker 1: Let's listen to his original statement and take take that

493
00:25:31,359 --> 00:25:35,959
Speaker 1: analysis into account. My people came to me, Dan Coachs

494
00:25:36,080 --> 00:25:38,360
Speaker 1: came to me and some others. They said, they think

495
00:25:38,400 --> 00:25:43,560
Speaker 1: it's Russia. I have president putin. He just said, it's

496
00:25:43,600 --> 00:25:46,440
Speaker 1: not Russia. I will say this. I don't see any

497
00:25:46,440 --> 00:25:48,880
Speaker 1: reason why it would be. But I really do want

498
00:25:48,920 --> 00:25:52,720
Speaker 1: to see the server. Uh. But I have uh, I

499
00:25:52,800 --> 00:25:59,280
Speaker 1: have confidence in both parties. What so that there's no

500
00:25:59,320 --> 00:26:02,119
Speaker 1: way he meant say would not be No contextually, No

501
00:26:02,320 --> 00:26:06,320
Speaker 1: contextually that would have made no sense, no at all.

502
00:26:06,520 --> 00:26:09,720
Speaker 1: But anyways, also, just when he was going into this

503
00:26:09,840 --> 00:26:13,040
Speaker 1: conference where he said I meant to say, wouldn't obviously,

504
00:26:13,480 --> 00:26:16,679
Speaker 1: how did you guys miss that? He had a statement

505
00:26:17,119 --> 00:26:21,400
Speaker 1: written out and there was a part of the statement

506
00:26:22,840 --> 00:26:24,720
Speaker 1: at the end of the statement it said, you know,

507
00:26:24,920 --> 00:26:28,000
Speaker 1: I believe the intelligence and the perpetrators will be brought

508
00:26:28,080 --> 00:26:31,080
Speaker 1: to justice. And he scratched that part out and wrote

509
00:26:31,480 --> 00:26:35,240
Speaker 1: no collusion over it with one L. He doesn't know

510
00:26:35,400 --> 00:26:38,640
Speaker 1: it's about collusion because he took the other L. So

511
00:26:41,080 --> 00:26:45,679
Speaker 1: um so I mean also the other part. We goes

512
00:26:45,760 --> 00:26:48,640
Speaker 1: to Dan Coats and they said they think it's Russia.

513
00:26:48,880 --> 00:26:53,000
Speaker 1: My man, they concluded it was Russia after they they

514
00:26:53,240 --> 00:26:55,600
Speaker 1: had all the information in front and then like this,

515
00:26:56,200 --> 00:26:58,440
Speaker 1: I don't understand how he thinks it works, Like it's

516
00:26:58,480 --> 00:27:01,760
Speaker 1: not like a lost fan theory. Were like, I think

517
00:27:02,160 --> 00:27:04,720
Speaker 1: that it could be this. I don't know, though, you

518
00:27:04,760 --> 00:27:06,480
Speaker 1: do what you want. Trump, he's such a closer boy

519
00:27:06,480 --> 00:27:08,800
Speaker 1: for why growing up Bridge is a terrible idea, like

520
00:27:08,880 --> 00:27:12,880
Speaker 1: this idea that clearly nobody ever held him accountable for anything,

521
00:27:13,400 --> 00:27:16,960
Speaker 1: because like, dude, we see you like it's recorded. I

522
00:27:17,000 --> 00:27:19,720
Speaker 1: can rewind it and watch it again, and he always

523
00:27:19,720 --> 00:27:21,800
Speaker 1: comes out and it's just like, you know, no, not

524
00:27:21,920 --> 00:27:24,200
Speaker 1: what I said. Now, what I met didn't even happen.

525
00:27:24,280 --> 00:27:27,480
Speaker 1: But remember we heard you, Okay, Yeah, he did the

526
00:27:27,520 --> 00:27:30,280
Speaker 1: same thing, and that Theresa May interview where he was

527
00:27:30,359 --> 00:27:34,040
Speaker 1: like he gave a detailed, long interview where he was like,

528
00:27:34,080 --> 00:27:37,280
Speaker 1: she's an idiot. I told her, were done it like this,

529
00:27:37,640 --> 00:27:40,080
Speaker 1: And then somebody asked him about that interview and he

530
00:27:40,119 --> 00:27:44,879
Speaker 1: called it fake news. Motherfucker. We you recorded an interview.

531
00:27:45,000 --> 00:27:49,200
Speaker 1: These are not like opinions, they are direct quotes you

532
00:27:49,800 --> 00:27:54,600
Speaker 1: saying things. Also, like the Stormy Daniels thing still is

533
00:27:54,680 --> 00:27:56,760
Speaker 1: like in the back of my mind, fucking with me,

534
00:27:56,880 --> 00:27:59,359
Speaker 1: because that is just straight up I don't know. I

535
00:27:59,359 --> 00:28:01,000
Speaker 1: don't think it. Don't think he was like, all right,

536
00:28:01,080 --> 00:28:03,840
Speaker 1: arrest her now. But I think like that is his

537
00:28:03,920 --> 00:28:07,760
Speaker 1: supporters and positions of power using their official capacity to

538
00:28:07,840 --> 00:28:13,200
Speaker 1: harass someone for just you know, brownie disagreeing. Yeah, it's

539
00:28:13,240 --> 00:28:16,080
Speaker 1: just symbolic harassment you'd see in a movie like set

540
00:28:16,080 --> 00:28:19,360
Speaker 1: in a small town in Mississippi and like the sets

541
00:28:19,400 --> 00:28:23,000
Speaker 1: a president. That's kind of terrifying, this idea that if

542
00:28:23,040 --> 00:28:26,280
Speaker 1: you rightfully so call a president out on his bullshit,

543
00:28:26,440 --> 00:28:29,320
Speaker 1: like you might just get swept up later. And like,

544
00:28:29,680 --> 00:28:32,000
Speaker 1: especially now as we see arise from a lot of activists,

545
00:28:32,000 --> 00:28:34,840
Speaker 1: particularly the people who are creating this like underground railroad

546
00:28:34,880 --> 00:28:37,880
Speaker 1: of sorts to help reunite like parents and children, like,

547
00:28:38,280 --> 00:28:40,200
Speaker 1: it's important that they remain vocal and then we continue

548
00:28:40,240 --> 00:28:42,560
Speaker 1: to keep eyes on them because I think the reality

549
00:28:42,640 --> 00:28:45,320
Speaker 1: is they could start disappearing very quickly. Well, yeah, there

550
00:28:45,360 --> 00:28:47,400
Speaker 1: was a reporter who said he was specifically targeted by

551
00:28:47,440 --> 00:28:51,200
Speaker 1: ICE because he was out there reporting on everything and

552
00:28:51,240 --> 00:28:53,719
Speaker 1: he you know, I think he was a naturalized citizen,

553
00:28:53,760 --> 00:28:57,360
Speaker 1: but he got harassed and I think I think detained.

554
00:28:58,480 --> 00:29:03,120
Speaker 1: So yeah, and I mean we also have this story

555
00:29:03,240 --> 00:29:07,680
Speaker 1: about the Department of Justice confirming the new head of

556
00:29:07,680 --> 00:29:11,800
Speaker 1: their criminal division. And he is someone with suspicious ties

557
00:29:11,920 --> 00:29:16,959
Speaker 1: to Putin or a Putin controlled bank and literally zero

558
00:29:17,160 --> 00:29:21,960
Speaker 1: prosecutorial experience. Like it's a thing that in a rational

559
00:29:22,000 --> 00:29:25,600
Speaker 1: world nobody would even put him forward as an option

560
00:29:25,680 --> 00:29:27,840
Speaker 1: for this role. But yeah, well, I mean he he

561
00:29:27,880 --> 00:29:31,800
Speaker 1: did have positions under Bush, like doing stuff the d

562
00:29:31,880 --> 00:29:33,760
Speaker 1: o J. I mean, he's been in government, but yeah,

563
00:29:33,760 --> 00:29:36,200
Speaker 1: but not like he was working for that law firm

564
00:29:36,480 --> 00:29:40,520
Speaker 1: Kirkland and Ellis who represents Alpha Bank. And then Alpha

565
00:29:40,520 --> 00:29:43,440
Speaker 1: Bank there was that server and Trump Tower that they

566
00:29:43,440 --> 00:29:45,760
Speaker 1: were like that the New York Times other reporters are like,

567
00:29:45,840 --> 00:29:47,400
Speaker 1: you know, this is like this weird serving the basement

568
00:29:47,440 --> 00:29:50,920
Speaker 1: Trump Tower that communicates with Alpha Bank in Russias. So

569
00:29:50,960 --> 00:29:53,920
Speaker 1: this is something that I had totally missed. But so

570
00:29:53,960 --> 00:29:56,840
Speaker 1: Alpha Bank is one of these you know, Putin doesn't

571
00:29:56,880 --> 00:29:59,920
Speaker 1: actually have the money. He's probably the richest person in

572
00:30:00,040 --> 00:30:02,280
Speaker 1: the world or second to Bezos, depending on what day

573
00:30:02,320 --> 00:30:04,880
Speaker 1: it is, but he has the money and the people

574
00:30:04,920 --> 00:30:08,000
Speaker 1: around him and in banks that are controlled by the government,

575
00:30:08,040 --> 00:30:11,120
Speaker 1: and Alpha Bank is one of these banks. And there

576
00:30:11,360 --> 00:30:17,880
Speaker 1: was a point during the election where computer scientists noticed

577
00:30:18,160 --> 00:30:22,160
Speaker 1: that Alpha Bank was communicating with a Trump server, a

578
00:30:22,280 --> 00:30:25,160
Speaker 1: server that was under the control of like the Trump organization,

579
00:30:25,560 --> 00:30:30,560
Speaker 1: and that the server was communicating with the company of

580
00:30:30,640 --> 00:30:33,200
Speaker 1: Dick Devas, who was the husband of Betsy Devas, who

581
00:30:33,280 --> 00:30:35,440
Speaker 1: was the brother of Eric Prince who runs Blackwater, who

582
00:30:35,480 --> 00:30:37,600
Speaker 1: was in the same sells to meet with agents of Russia.

583
00:30:37,640 --> 00:30:39,520
Speaker 1: I don't know. I mean, maybe I'm crazy. Yeah, it's

584
00:30:39,520 --> 00:30:43,000
Speaker 1: just it does sound crazy, but it's all tied together.

585
00:30:43,600 --> 00:30:46,760
Speaker 1: And the reason the people noticed it in the first

586
00:30:46,800 --> 00:30:50,440
Speaker 1: place is they were worried about Russia tampering with the

587
00:30:50,440 --> 00:30:53,680
Speaker 1: election after the d n C League, So they checked

588
00:30:53,680 --> 00:30:56,480
Speaker 1: to see if the Russians were also trying to communicate

589
00:30:56,520 --> 00:30:59,160
Speaker 1: with Trump computers and you know, try to break in.

590
00:30:59,680 --> 00:31:04,560
Speaker 1: But instead they found evidence of something else, entirely in

591
00:31:04,640 --> 00:31:08,280
Speaker 1: computer logs. And they sent the computer logs over to

592
00:31:08,320 --> 00:31:11,480
Speaker 1: this guy, Paul Vixie, who they say, there's like no

593
00:31:11,800 --> 00:31:14,840
Speaker 1: higher authority when it comes to this sort of thing.

594
00:31:15,240 --> 00:31:17,960
Speaker 1: As a d n S expert. Yeah, he wrote central

595
00:31:18,000 --> 00:31:20,840
Speaker 1: strands of the d NS code that makes the internetwork,

596
00:31:21,160 --> 00:31:24,920
Speaker 1: and yeah, so what does he know? He concluded he

597
00:31:25,000 --> 00:31:28,160
Speaker 1: might be a pedophile. Quote. The parties were communicating in

598
00:31:28,160 --> 00:31:31,800
Speaker 1: a secretive fashion. The operative word is secretive. This is

599
00:31:31,840 --> 00:31:35,200
Speaker 1: more akin to what criminal syndicates do if they're putting

600
00:31:35,240 --> 00:31:41,840
Speaker 1: together a project. So Trump has weird communications with this

601
00:31:41,920 --> 00:31:45,040
Speaker 1: bank that is under control of the Kremlin. U S

602
00:31:45,080 --> 00:31:48,320
Speaker 1: Intelligence had enough evidence to get a FISA warrant on

603
00:31:48,440 --> 00:31:53,320
Speaker 1: October fift to investigate the Russian Bank Trump computer connection.

604
00:31:53,640 --> 00:31:56,440
Speaker 1: Um and people think this is maybe what Trump was

605
00:31:56,480 --> 00:31:59,880
Speaker 1: actually talking about when he claimed Obama had his wires

606
00:31:59,880 --> 00:32:04,160
Speaker 1: to haptain Trump Tower. Um So, and they say that

607
00:32:04,160 --> 00:32:08,280
Speaker 1: that server stopped communicating with Russia after the time started

608
00:32:08,320 --> 00:32:13,400
Speaker 1: asking Alpha Bank in Russia. But they're like, yeah, So

609
00:32:13,720 --> 00:32:17,400
Speaker 1: there were further allegations about Alphabank being involved in Russian

610
00:32:17,440 --> 00:32:21,000
Speaker 1: influence campaign to swing the election to Trump. Alphabank sued

611
00:32:21,080 --> 00:32:26,760
Speaker 1: BuzzFeed for publishing the Steel dossier, and then eventually they

612
00:32:26,960 --> 00:32:30,520
Speaker 1: hired a guy with ties to the Trump organization. The

613
00:32:30,520 --> 00:32:34,960
Speaker 1: man they hired, Brian bez Kowski or ben's Kowski, is

614
00:32:35,200 --> 00:32:38,680
Speaker 1: the guy who was just approved or yeah, just confirmed

615
00:32:38,880 --> 00:32:42,120
Speaker 1: to be the head of the Criminal Division for the

616
00:32:42,160 --> 00:32:45,040
Speaker 1: Department of Justice. Yeah, and he was also the same

617
00:32:45,120 --> 00:32:48,479
Speaker 1: dude with working for that law firm that like basically

618
00:32:48,560 --> 00:32:51,880
Speaker 1: whitewashed the server, like the Alpha Bank Server was like, yeah,

619
00:32:51,880 --> 00:32:53,800
Speaker 1: we had some security experts. Look at it looks all

620
00:32:53,840 --> 00:32:56,800
Speaker 1: good from here, right, And also in mind you that

621
00:32:56,880 --> 00:33:01,200
Speaker 1: this Criminal Justice Division overseasonal investigation, and I'm pretty sure

622
00:33:01,200 --> 00:33:03,800
Speaker 1: he also said that he will not recuse himself from

623
00:33:03,840 --> 00:33:07,000
Speaker 1: anything related to that. I am so sad. I'm so

624
00:33:07,080 --> 00:33:09,640
Speaker 1: sad for our country. What is the happening? He and

625
00:33:09,720 --> 00:33:13,640
Speaker 1: he was confirmed. Thanks Joe Manchin. When do we take

626
00:33:13,720 --> 00:33:17,320
Speaker 1: to the streets, like, because the evidence is just it's

627
00:33:17,320 --> 00:33:20,160
Speaker 1: overwhelming and insurmountable, and the fact that, like our justice

628
00:33:20,160 --> 00:33:24,920
Speaker 1: system hasn't or at least we can't feel kicking in yet, right,

629
00:33:25,480 --> 00:33:30,080
Speaker 1: not seeing heads roll except for reality show star I

630
00:33:30,120 --> 00:33:34,520
Speaker 1: forget her name. You guys have the original whistleblower. Oh

631
00:33:34,560 --> 00:33:39,880
Speaker 1: my gosh, Summers, it's Reality Something. She was like, her name,

632
00:33:40,560 --> 00:33:44,400
Speaker 1: her name is Reality Something. Yeah, she's the only person

633
00:33:44,440 --> 00:33:48,400
Speaker 1: who's been prosecuted so far, right, who gave that stuff

634
00:33:48,400 --> 00:33:53,320
Speaker 1: to intercept Winner? Right? Reality Winner? I think it is

635
00:33:53,360 --> 00:33:56,520
Speaker 1: her name. So other than Reality Winner, we haven't seen

636
00:33:56,560 --> 00:34:00,520
Speaker 1: anyone be prosecuted yet. I mean, we we have some

637
00:34:00,600 --> 00:34:02,960
Speaker 1: trials going on, like their feet are being held to

638
00:34:02,960 --> 00:34:05,480
Speaker 1: the fire, But other than that, it's just so open

639
00:34:05,560 --> 00:34:09,160
Speaker 1: and like, yeah, the whole entire world season and we're

640
00:34:09,200 --> 00:34:11,360
Speaker 1: just like it, just like I'm going to San Diego

641
00:34:11,400 --> 00:34:14,320
Speaker 1: Comic com this weekend. I don't really know. It feels

642
00:34:14,320 --> 00:34:15,920
Speaker 1: like we should just be standing in the street like

643
00:34:16,000 --> 00:34:19,760
Speaker 1: no more of this right here. The dangers keep mounting,

644
00:34:19,960 --> 00:34:24,239
Speaker 1: right like, the changes and the really bizarre actions of

645
00:34:24,239 --> 00:34:28,239
Speaker 1: the President keep mounting, Like in that Tucker Carlson interview

646
00:34:28,600 --> 00:34:32,759
Speaker 1: where he was talking basically about being like, yo, man

647
00:34:32,760 --> 00:34:36,359
Speaker 1: off mona Negro gets tacked. I mean, what we're gonna do? Wait,

648
00:34:36,400 --> 00:34:39,120
Speaker 1: what happened didn't in the Tucker Carlson an interview. So

649
00:34:39,440 --> 00:34:41,800
Speaker 1: you know, so Tucker Carlson had an interview with Trump

650
00:34:41,920 --> 00:34:44,200
Speaker 1: and he didn't hold his feet to the of course,

651
00:34:44,280 --> 00:34:47,080
Speaker 1: not because Carlson was like saying, just basically, why should

652
00:34:47,120 --> 00:34:50,360
Speaker 1: my son go to Montenegro to defend it from attack?

653
00:34:49,560 --> 00:34:54,239
Speaker 1: So there was a plot in two thousand sixteen that

654
00:34:54,360 --> 00:34:57,520
Speaker 1: was foiled, Thank god. We're basically the Russians were behind

655
00:34:57,560 --> 00:34:59,600
Speaker 1: a coup where these dudes are gonna come to the

656
00:34:59,640 --> 00:35:04,400
Speaker 1: parliament just off everyone in parliament, install a new murder them,

657
00:35:04,480 --> 00:35:08,640
Speaker 1: yeah yeah, kill them, shoot them, and put in a

658
00:35:08,680 --> 00:35:12,400
Speaker 1: Serbian nationalists to basically take over parliament and then basically

659
00:35:12,400 --> 00:35:15,839
Speaker 1: be like, hey, we love Russia and begin basically doing

660
00:35:15,920 --> 00:35:17,640
Speaker 1: sort of like this ship that happened in Ukraine and

661
00:35:17,719 --> 00:35:20,760
Speaker 1: basically putting in this pro Russian government and now giving

662
00:35:20,920 --> 00:35:23,480
Speaker 1: Russia access to the Adriatic Sea, which is the thing

663
00:35:23,520 --> 00:35:28,240
Speaker 1: that they're after. So Russia wants Montenegro. Basically, yeah, exactly. Um.

664
00:35:28,360 --> 00:35:30,960
Speaker 1: And again this was like a thing where Trump in

665
00:35:31,000 --> 00:35:33,480
Speaker 1: this interview, so Tucker Carlson said, why should my son

666
00:35:33,560 --> 00:35:37,080
Speaker 1: go to Montenegro defended from attack? And then Trump's answer,

667
00:35:37,120 --> 00:35:40,440
Speaker 1: I understand what you're saying. That's the same question. You know,

668
00:35:40,560 --> 00:35:42,839
Speaker 1: Montenegro is a tiny country with very strong people. They

669
00:35:42,840 --> 00:35:46,399
Speaker 1: are very aggressive people. They may get aggressive, and congratulations,

670
00:35:46,440 --> 00:35:48,080
Speaker 1: yere in World War three, but that's the way it

671
00:35:48,120 --> 00:35:50,080
Speaker 1: was set up. Don't forget. I just got here a

672
00:35:50,120 --> 00:35:52,040
Speaker 1: little more than a year and a half ago. So

673
00:35:52,120 --> 00:35:54,960
Speaker 1: he's basically saying, I'm not gonna step in if Montenegro

674
00:35:55,080 --> 00:35:58,200
Speaker 1: is trying to defend its fucking self and acting like

675
00:35:58,280 --> 00:36:02,240
Speaker 1: they're too aggressive. So we're saying, hey, y know, Russia,

676
00:36:02,360 --> 00:36:04,480
Speaker 1: you got the green light. We might not intervene if

677
00:36:04,480 --> 00:36:07,360
Speaker 1: you pull some ship in Montenegro. No, but a fundamental

678
00:36:07,400 --> 00:36:11,960
Speaker 1: misunderstanding of what caused the world, just like more than

679
00:36:12,000 --> 00:36:15,359
Speaker 1: two countries at war World War three. It's also not

680
00:36:15,440 --> 00:36:19,040
Speaker 1: how NATO works, Like NATO will not back you if

681
00:36:19,080 --> 00:36:22,239
Speaker 1: you start an aggressive war with Russia. They will back

682
00:36:22,320 --> 00:36:26,320
Speaker 1: you if Russia attacks you, and like you haven't done anything.

683
00:36:26,360 --> 00:36:29,719
Speaker 1: And it's a completely defensive They are a defense alliance.

684
00:36:29,760 --> 00:36:33,520
Speaker 1: They help you defend. But it's amazing how coherent the

685
00:36:33,520 --> 00:36:36,279
Speaker 1: strategy is that they just are like, here, Tucker, these

686
00:36:36,280 --> 00:36:38,960
Speaker 1: are your questions. Set me up. Yeah, I'm sure Tucker

687
00:36:39,000 --> 00:36:42,319
Speaker 1: Carlson's son loves being used in like a plot to

688
00:36:42,520 --> 00:36:48,879
Speaker 1: fucking justify treason essentially. But yeah, so Tucker Carlson comes out,

689
00:36:48,880 --> 00:36:51,239
Speaker 1: why should my son go to Montenegro to defend it

690
00:36:51,280 --> 00:36:54,279
Speaker 1: from an attack? Uh? He really likes to lean on

691
00:36:54,320 --> 00:36:56,919
Speaker 1: the fact that he has kids, like almost like he's

692
00:36:56,960 --> 00:36:59,480
Speaker 1: an alien who is like trying to prove that he's

693
00:36:59,520 --> 00:37:03,919
Speaker 1: a human being. Uh. But yeah, So basically they're trying

694
00:37:03,920 --> 00:37:09,160
Speaker 1: to make the case that, uh, Montenegro is this wild power.

695
00:37:09,239 --> 00:37:11,840
Speaker 1: And it's funny that this is happening right after he

696
00:37:11,920 --> 00:37:14,200
Speaker 1: met with Putin because a lot of people on the

697
00:37:14,320 --> 00:37:17,080
Speaker 1: right on the front page of Bright Bart today, they're like, well,

698
00:37:17,200 --> 00:37:20,920
Speaker 1: we're already seeing the victories from Trump because they have

699
00:37:21,000 --> 00:37:23,840
Speaker 1: said that they're going to, you know, keep tabs on

700
00:37:23,920 --> 00:37:28,239
Speaker 1: Iran and Syria. So I mean, he's already showing that,

701
00:37:28,560 --> 00:37:32,120
Speaker 1: like why he had that meeting with Putin. But meanwhile,

702
00:37:32,239 --> 00:37:35,160
Speaker 1: the real results that we're seeing is that he's already

703
00:37:35,280 --> 00:37:39,960
Speaker 1: justifying like basically saying, go ahead, Russia, you can attack Montenegbro,

704
00:37:40,080 --> 00:37:42,840
Speaker 1: These people who you've really wanted to attack for a

705
00:37:42,880 --> 00:37:46,719
Speaker 1: long time, stabilized the region. Yes, yeah, And that's what

706
00:37:47,000 --> 00:37:49,279
Speaker 1: makes it bums you out because you're like, where the

707
00:37:49,320 --> 00:37:53,040
Speaker 1: fuck is Congress at because that really is one of

708
00:37:53,040 --> 00:37:55,799
Speaker 1: our I mean, one of the few checks. Clearly, the

709
00:37:55,840 --> 00:37:58,720
Speaker 1: Justice Department is doing what they can through the Special

710
00:37:58,719 --> 00:38:02,359
Speaker 1: Council and things like that, but Congress, Yo, you guys

711
00:38:02,360 --> 00:38:05,720
Speaker 1: gotta realize you are also a check on the executive branch.

712
00:38:05,960 --> 00:38:08,400
Speaker 1: You don't just have to be deferential to the president

713
00:38:08,640 --> 00:38:11,440
Speaker 1: and just be a rubber stamp for everything. And that's

714
00:38:11,520 --> 00:38:14,399
Speaker 1: where we're in a place, like you're saying, Jack, that's

715
00:38:14,520 --> 00:38:17,400
Speaker 1: very different now, especially after that Helsinki thing, where you

716
00:38:17,440 --> 00:38:21,120
Speaker 1: can look at the president himself being a national security risk.

717
00:38:21,480 --> 00:38:24,600
Speaker 1: The president himself he seems to be acting in the

718
00:38:24,640 --> 00:38:27,600
Speaker 1: interest of Russia more than the interests of the United States,

719
00:38:28,560 --> 00:38:30,279
Speaker 1: and like when you take into the account the ships

720
00:38:30,320 --> 00:38:33,200
Speaker 1: has gone down, like he eliminated the cyber security role

721
00:38:33,239 --> 00:38:35,680
Speaker 1: at the NSC in the National Security Council, like and

722
00:38:35,960 --> 00:38:38,319
Speaker 1: is not going to hire anyone else, like because he

723
00:38:38,360 --> 00:38:40,560
Speaker 1: doesn't give a funk, or just is basically being like,

724
00:38:40,880 --> 00:38:42,680
Speaker 1: you know, you know, we're just gonna turn a blind

725
00:38:42,719 --> 00:38:45,560
Speaker 1: eye to the cyber threats that are being posted this country,

726
00:38:45,719 --> 00:38:48,839
Speaker 1: or you know, just the murky ship. Like the day

727
00:38:48,880 --> 00:38:54,000
Speaker 1: that Maria Boutina gets charged and indicted as basically acting

728
00:38:54,040 --> 00:38:56,880
Speaker 1: as a Russian agent infiltrating the nr and stuff, Suddenly

729
00:38:56,920 --> 00:38:59,239
Speaker 1: the I R S is just like, hey, certain five

730
00:38:59,239 --> 00:39:01,439
Speaker 1: oh one c group that use dark money, like the

731
00:39:01,560 --> 00:39:03,319
Speaker 1: n r A, they don't have to tell us where

732
00:39:03,320 --> 00:39:06,280
Speaker 1: their money comes from even anymore. So that just happened,

733
00:39:06,320 --> 00:39:08,719
Speaker 1: I think on Monday. It was either basically at the

734
00:39:08,719 --> 00:39:10,520
Speaker 1: same time that's like the next thing, it's like all

735
00:39:10,560 --> 00:39:12,160
Speaker 1: the same time, it's revealed that the n r A

736
00:39:12,239 --> 00:39:14,399
Speaker 1: has something to hide there, like uh, and you don't

737
00:39:14,400 --> 00:39:16,560
Speaker 1: have to show us anything and you can hide everything

738
00:39:16,680 --> 00:39:21,200
Speaker 1: right whatever for you. So this is all fucking bad,

739
00:39:21,640 --> 00:39:25,080
Speaker 1: and you know that we should have just opened with

740
00:39:25,160 --> 00:39:30,640
Speaker 1: that this is all and you know, but Congress, at

741
00:39:30,680 --> 00:39:33,920
Speaker 1: some point, right we're past the fucking willful ignorance bullshit

742
00:39:33,960 --> 00:39:36,520
Speaker 1: where you can be like, whoa, you know you're gonna

743
00:39:36,600 --> 00:39:40,520
Speaker 1: look fucking dumb when the action remains of this country

744
00:39:40,640 --> 00:39:43,800
Speaker 1: is found by some archaeologists and looks in the history

745
00:39:43,800 --> 00:39:46,520
Speaker 1: books and says, oh my god, I think the civilization

746
00:39:46,600 --> 00:39:50,080
Speaker 1: crumbled because of these Republicans who sat on their fucking

747
00:39:50,120 --> 00:39:52,719
Speaker 1: hands and did funk all to protect the country. At

748
00:39:52,760 --> 00:39:56,360
Speaker 1: some point, right, they have to realize that they're in

749
00:39:56,440 --> 00:39:59,840
Speaker 1: power and they have to step up at the detriment

750
00:40:00,000 --> 00:40:02,600
Speaker 1: of our democracy. So what are they going to do?

751
00:40:02,800 --> 00:40:05,239
Speaker 1: I don't think they care, Like those checks have to

752
00:40:05,280 --> 00:40:08,880
Speaker 1: be so damn good, like maybe about the number of

753
00:40:09,000 --> 00:40:10,359
Speaker 1: days they get off per years. In fact that most

754
00:40:10,400 --> 00:40:13,800
Speaker 1: of these people don't hold actual jobs or participate within

755
00:40:13,880 --> 00:40:17,040
Speaker 1: their communities, the fact that they like you get to

756
00:40:17,160 --> 00:40:20,880
Speaker 1: coast and you vote essentially along your own financial lines,

757
00:40:20,960 --> 00:40:25,200
Speaker 1: Like I honestly feel like this is a very elaborate

758
00:40:25,239 --> 00:40:27,200
Speaker 1: coue to take over our country. I don't think Trump

759
00:40:27,280 --> 00:40:30,360
Speaker 1: is going to leave office willingly that's what I've been saying.

760
00:40:30,360 --> 00:40:32,640
Speaker 1: I don't I don't see how or why he would

761
00:40:32,680 --> 00:40:35,279
Speaker 1: do that. I feel like it's going to have to

762
00:40:35,280 --> 00:40:39,880
Speaker 1: either come to like revolution or horrible, horrible suffocation by

763
00:40:39,880 --> 00:40:42,919
Speaker 1: our government because at this point they've made clear that

764
00:40:43,640 --> 00:40:45,759
Speaker 1: what they seek is just power and money, and there's

765
00:40:46,360 --> 00:40:48,680
Speaker 1: that's not what our government was designed to support or

766
00:40:48,760 --> 00:40:51,960
Speaker 1: to do right or to fight off. Like that's you know,

767
00:40:52,040 --> 00:40:55,879
Speaker 1: nobody has been this blatant about it. And yeah, I've

768
00:40:55,880 --> 00:40:58,799
Speaker 1: been saying around the office and not saying on the

769
00:40:58,840 --> 00:41:01,120
Speaker 1: podcast because I feel like it makes me sound a

770
00:41:01,120 --> 00:41:04,120
Speaker 1: little crazy. But the way Putin came to power was

771
00:41:04,520 --> 00:41:07,239
Speaker 1: a false flag terror attack where he like blew up

772
00:41:07,280 --> 00:41:10,080
Speaker 1: five buildings and blamed it on like Chechen rebel groups,

773
00:41:10,280 --> 00:41:12,840
Speaker 1: and you know, all the evidence has pointed to the

774
00:41:12,840 --> 00:41:16,359
Speaker 1: fact that it was orchestrated by Putin. And the only

775
00:41:16,400 --> 00:41:19,239
Speaker 1: thing making me feel like Trump wouldn't do that is

776
00:41:19,280 --> 00:41:22,560
Speaker 1: because he does not have the cooperation of intelligence agencies,

777
00:41:22,600 --> 00:41:25,520
Speaker 1: so they fucking fuck him over if he did try

778
00:41:25,560 --> 00:41:28,120
Speaker 1: something like that. But like, he is going to do

779
00:41:28,239 --> 00:41:31,719
Speaker 1: whatever he can too, sees more power, and it's just

780
00:41:31,800 --> 00:41:33,920
Speaker 1: becoming more and more obvious. He's not trying to hide it,

781
00:41:34,000 --> 00:41:36,280
Speaker 1: and especially when he said was it last year or earlier?

782
00:41:36,320 --> 00:41:37,560
Speaker 1: This year was like, well, I mean, look what nine

783
00:41:37,560 --> 00:41:39,399
Speaker 1: eleven did for George Bush in the mid terms. Yes,

784
00:41:39,480 --> 00:41:42,120
Speaker 1: And it was like what, well, I'm sorry what he said?

785
00:41:42,680 --> 00:41:45,319
Speaker 1: What playbook are you looking at? Right? And that's why

786
00:41:45,360 --> 00:41:48,959
Speaker 1: to the translator who was in the little private two hour,

787
00:41:49,080 --> 00:41:52,080
Speaker 1: ten minute meeting between Trump and Putin were just translators,

788
00:41:52,280 --> 00:41:54,839
Speaker 1: Congress could bring this translator and be like, yo, what

789
00:41:54,880 --> 00:41:56,839
Speaker 1: the fund did they say? Because if you think about

790
00:41:56,840 --> 00:42:00,640
Speaker 1: what happened in the Singapore meeting with Kim Jong oone, suddenly,

791
00:42:00,680 --> 00:42:02,759
Speaker 1: without telling anybody, he came out of that meeting saying, Okay,

792
00:42:02,800 --> 00:42:05,200
Speaker 1: we're gonna stop military exercise with South Korea, right, And

793
00:42:05,239 --> 00:42:08,000
Speaker 1: where did that idea come from? Fucking Vladimir Putin? It's

794
00:42:08,040 --> 00:42:12,280
Speaker 1: wildly bizarre. Like Putin doesn't need a translator, right, Putin

795
00:42:12,320 --> 00:42:16,000
Speaker 1: speaks perfect English. So the idea that they needed, like

796
00:42:16,080 --> 00:42:18,640
Speaker 1: they have translators like that and itself is a power

797
00:42:18,719 --> 00:42:22,480
Speaker 1: move on Putin's part, and it's just bizarre. It's uh,

798
00:42:22,640 --> 00:42:25,279
Speaker 1: you known't look, this is why at the very least, right,

799
00:42:25,360 --> 00:42:28,960
Speaker 1: I mean, you know, get your marching shoes ready, because

800
00:42:29,000 --> 00:42:31,200
Speaker 1: I mean, I'm looking at the ships every day like

801
00:42:31,239 --> 00:42:33,640
Speaker 1: I have them. I just got them. They're ready to go.

802
00:42:33,840 --> 00:42:36,360
Speaker 1: They're beautiful, by the way, thank you so much. But

803
00:42:36,960 --> 00:42:42,000
Speaker 1: the thing is, and their crocks by the way, to

804
00:42:42,000 --> 00:42:44,719
Speaker 1: be a surprise, but they are when you well know

805
00:42:44,719 --> 00:42:46,839
Speaker 1: they're not red, white and blue, black, green and red,

806
00:42:47,360 --> 00:42:51,120
Speaker 1: but they The thing is the only one of our

807
00:42:51,239 --> 00:42:54,440
Speaker 1: few options we have right now as just citizens, is

808
00:42:54,520 --> 00:42:57,239
Speaker 1: to get the funk out and vote these motherfucker's out

809
00:42:57,400 --> 00:42:59,520
Speaker 1: as quickly as possible. Now, I don't know if they're

810
00:42:59,560 --> 00:43:03,319
Speaker 1: I don't know how what the actual enthusiasm is going

811
00:43:03,360 --> 00:43:05,560
Speaker 1: to be in November. You'd hope it would be high

812
00:43:05,800 --> 00:43:08,360
Speaker 1: that there can be some kind of some semblance of

813
00:43:08,360 --> 00:43:11,920
Speaker 1: a wave, blue wave. But I think it's very important

814
00:43:11,920 --> 00:43:14,200
Speaker 1: for people to also remember that that is one of

815
00:43:14,200 --> 00:43:16,279
Speaker 1: the few options you have as citizens at least cast

816
00:43:16,320 --> 00:43:18,160
Speaker 1: a vote. And you know, with all due respect to

817
00:43:18,160 --> 00:43:20,520
Speaker 1: other advocacy groups because they're doing good work too, but

818
00:43:20,600 --> 00:43:23,120
Speaker 1: people also need to be aware that there are certain

819
00:43:23,160 --> 00:43:25,480
Speaker 1: people that are in Congress right now, like Devin Noon

820
00:43:25,520 --> 00:43:28,080
Speaker 1: as a traite, like we have to put Democrats in there,

821
00:43:28,120 --> 00:43:30,719
Speaker 1: or at least people who have some semblance of a

822
00:43:30,760 --> 00:43:33,560
Speaker 1: soul or moral scruples. I don't know. Yeah, and the

823
00:43:33,640 --> 00:43:36,960
Speaker 1: GOP has not shown the ability to show that ship.

824
00:43:37,200 --> 00:43:40,160
Speaker 1: All new parties, give me ten of them, and new

825
00:43:40,200 --> 00:43:44,319
Speaker 1: parties with new platforms, diverse and driven for different like

826
00:43:44,520 --> 00:43:45,879
Speaker 1: the fact that we are still on a two party

827
00:43:45,880 --> 00:43:48,120
Speaker 1: system kills me. The fact that like we can only

828
00:43:48,200 --> 00:43:51,879
Speaker 1: drum when like Trump was coming of the youth vote

829
00:43:51,880 --> 00:43:54,200
Speaker 1: to come out and vote is ridiculous. I don't know.

830
00:43:54,520 --> 00:43:56,719
Speaker 1: I honestly don't understand how we haven't carried Trump out

831
00:43:56,760 --> 00:44:01,000
Speaker 1: like America like circa nineties eight. He's like pro just

832
00:44:01,200 --> 00:44:03,439
Speaker 1: like no one asked with our country, like that whole

833
00:44:03,440 --> 00:44:06,640
Speaker 1: mentality that Trump has tried to take on himself. It's

834
00:44:06,760 --> 00:44:08,879
Speaker 1: it's so weird how he can then just be like, oh,

835
00:44:08,880 --> 00:44:10,640
Speaker 1: but that's not me, you know what I mean, This

836
00:44:10,760 --> 00:44:14,040
Speaker 1: idea of like you're just maybe like it's treason, Yeah,

837
00:44:14,080 --> 00:44:16,319
Speaker 1: but it's it's fine because I'm doing it. I don't

838
00:44:16,400 --> 00:44:20,080
Speaker 1: understand how it works in people's heads. Yeah, all new parties.

839
00:44:20,080 --> 00:44:22,839
Speaker 1: I think the moral I'm getting is that you like

840
00:44:23,000 --> 00:44:30,360
Speaker 1: parties is basically options decisions. All right, we are going

841
00:44:30,440 --> 00:44:34,120
Speaker 1: to talk about the one sort of pinprick of light

842
00:44:34,320 --> 00:44:36,560
Speaker 1: possibly at the end of the tunnel when we get

843
00:44:36,560 --> 00:44:51,239
Speaker 1: back and we're back, and yes, I promised pinprick of

844
00:44:51,320 --> 00:44:53,200
Speaker 1: light at the end of the long dark tunnel that

845
00:44:53,239 --> 00:44:56,320
Speaker 1: we're traveling down, but just a little more length and darkness.

846
00:44:56,560 --> 00:45:01,680
Speaker 1: Uh so uh. Maria Boutina super producer Nick Stump pointed

847
00:45:01,719 --> 00:45:07,960
Speaker 1: out that there are correspondences between her and her basically handler,

848
00:45:08,040 --> 00:45:13,640
Speaker 1: her Kremlin bos boss uh tortion, and they're talking to

849
00:45:13,680 --> 00:45:15,959
Speaker 1: each other and he's like, just remember the long game,

850
00:45:16,040 --> 00:45:20,279
Speaker 1: like stay cool, stay cold blooded. Yes, so, like this

851
00:45:20,360 --> 00:45:23,800
Speaker 1: is part of a long play. These are only the

852
00:45:23,880 --> 00:45:26,759
Speaker 1: early steps. If we don't will write something changing the

853
00:45:26,800 --> 00:45:29,520
Speaker 1: world view of the citizens in this country is how

854
00:45:29,640 --> 00:45:33,239
Speaker 1: you can subtly play mental warfare games with the population

855
00:45:33,280 --> 00:45:37,120
Speaker 1: without physically entering the space because you didn't get into

856
00:45:37,120 --> 00:45:39,239
Speaker 1: the minds of them, and you can create people who

857
00:45:39,280 --> 00:45:41,319
Speaker 1: are like, oh, yeah, look we just opened these people

858
00:45:41,400 --> 00:45:43,919
Speaker 1: up to now fucking just turning their head a little

859
00:45:43,920 --> 00:45:48,200
Speaker 1: bit this way, and that's the dangerbles. And also this morning,

860
00:45:48,200 --> 00:45:52,400
Speaker 1: when Trump was coming out of his meeting with Congress,

861
00:45:52,800 --> 00:45:56,400
Speaker 1: he was asked if Russia is still a threat to

862
00:45:56,480 --> 00:46:00,480
Speaker 1: America and he said no, so that's our pinprick of Like, guys,

863
00:46:00,560 --> 00:46:02,960
Speaker 1: no need to worry about it. Um, you know what

864
00:46:03,160 --> 00:46:07,840
Speaker 1: Nick erased the last minutes. Yeah, yeah, we don't. It's sorry,

865
00:46:07,920 --> 00:46:11,520
Speaker 1: sorry guys. No, that is actually more length and darkness

866
00:46:11,560 --> 00:46:14,319
Speaker 1: to the tunnel. But we do want to talk about

867
00:46:14,320 --> 00:46:18,560
Speaker 1: the Manifort trial which is coming our way. Yeah, it

868
00:46:18,640 --> 00:46:21,879
Speaker 1: was actually delayed by a week. We don't know why yet.

869
00:46:21,960 --> 00:46:24,400
Speaker 1: Well it's weird because he's in the Eastern District of

870
00:46:24,480 --> 00:46:27,640
Speaker 1: Virginia and that court is known as the rocket Docket,

871
00:46:27,880 --> 00:46:32,480
Speaker 1: meaning they fucking fly through ship and prosecution even wanted

872
00:46:32,520 --> 00:46:34,279
Speaker 1: more time, and the judges like, Notham, this is the

873
00:46:34,360 --> 00:46:36,799
Speaker 1: rocket docket, get done two weeks, uh, and I think

874
00:46:36,800 --> 00:46:39,120
Speaker 1: you can. So it was a little odd that there

875
00:46:39,239 --> 00:46:41,800
Speaker 1: was a delay, uh. And it could be for very

876
00:46:41,840 --> 00:46:45,600
Speaker 1: innocent reasons, or maybe Manaford is reconsidering his legal strategy,

877
00:46:45,640 --> 00:46:48,640
Speaker 1: maybe to possibly plead guilty and then begin cooperating because

878
00:46:48,920 --> 00:46:51,760
Speaker 1: he doesn't look like he's enjoying his time in prison.

879
00:46:52,440 --> 00:46:55,319
Speaker 1: But we also found out that Robert Mueller asked the

880
00:46:55,400 --> 00:46:58,839
Speaker 1: judge there to grant immunity to five secret witnesses who

881
00:46:58,880 --> 00:47:02,959
Speaker 1: are willing to testify against Manafort. But for immunity. So

882
00:47:03,440 --> 00:47:05,920
Speaker 1: that's interesting because these are people who have been unnamed

883
00:47:05,960 --> 00:47:08,240
Speaker 1: up until now. He just said I have five people

884
00:47:08,280 --> 00:47:10,359
Speaker 1: and if and if, even if it doesn't go to trial,

885
00:47:10,400 --> 00:47:12,040
Speaker 1: they will not be named. It's just sort of like

886
00:47:12,200 --> 00:47:14,160
Speaker 1: I have people on deck who are ready, who have

887
00:47:14,360 --> 00:47:17,239
Speaker 1: the receipts and based on the idea, like, you know,

888
00:47:17,280 --> 00:47:18,440
Speaker 1: this is a lot about this has to do with

889
00:47:18,719 --> 00:47:21,680
Speaker 1: his money laundering, so these could probably be people who

890
00:47:21,719 --> 00:47:27,200
Speaker 1: facilitated the laundering of the money. So yes, pressure, pressure

891
00:47:27,360 --> 00:47:31,239
Speaker 1: for Paul Manafort, and so. Uh. Marcy Wheeler is someone

892
00:47:31,280 --> 00:47:33,520
Speaker 1: we've been talking about around the office for a while

893
00:47:33,600 --> 00:47:37,200
Speaker 1: because she dropped some intriguing blog posts in the past

894
00:47:37,239 --> 00:47:40,759
Speaker 1: couple of weeks, uh, basically saying that she's been cooperating

895
00:47:40,800 --> 00:47:44,160
Speaker 1: with the FBI with regards to the Russia investigation because

896
00:47:44,200 --> 00:47:48,400
Speaker 1: she realized that someone within the Trump administration who was

897
00:47:48,560 --> 00:47:51,640
Speaker 1: a source of hers was basically working with Russia. The

898
00:47:51,719 --> 00:47:54,319
Speaker 1: day after the inauguration, they were like, hey, okay, so

899
00:47:54,760 --> 00:47:58,319
Speaker 1: we need to get things moving, and uh, somebody sent

900
00:47:58,440 --> 00:48:01,280
Speaker 1: her correspondence that indicate hated that they were like basically

901
00:48:01,320 --> 00:48:05,000
Speaker 1: the day after the inauguration starting to do Russia's bidding,

902
00:48:05,520 --> 00:48:08,880
Speaker 1: And she was on Podsha America on Monday, and it

903
00:48:09,000 --> 00:48:12,000
Speaker 1: seems like she can't name names, and she's, you know,

904
00:48:12,520 --> 00:48:18,240
Speaker 1: government witness, so she's still being vague, but she knows

905
00:48:18,280 --> 00:48:20,760
Speaker 1: a lot more than most of us know. And she's

906
00:48:20,800 --> 00:48:23,880
Speaker 1: basically saying the other shoe is going to drop that

907
00:48:23,920 --> 00:48:26,719
Speaker 1: they're like some big, as she put it, plot twists

908
00:48:26,800 --> 00:48:32,120
Speaker 1: that are still coming down the pike in the Muller investigation. Uh,

909
00:48:32,160 --> 00:48:41,200
Speaker 1: and basically just generally hold onto your other shoe, octopus. Yeah,

910
00:48:41,400 --> 00:48:43,680
Speaker 1: She's like, yeah, you're gonna be surprised about a lot

911
00:48:43,680 --> 00:48:47,080
Speaker 1: of what's coming cool cool, cool, So so that that

912
00:48:47,360 --> 00:48:49,440
Speaker 1: trap on your marking for one thing, that's like, oh,

913
00:48:49,560 --> 00:48:52,400
Speaker 1: so there are still people out there who are working

914
00:48:52,440 --> 00:48:55,440
Speaker 1: on this and who aren't you know, Mueller is just

915
00:48:55,520 --> 00:48:59,000
Speaker 1: waiting for the right title to in a good way

916
00:48:59,080 --> 00:49:02,360
Speaker 1: so I can watch the upcoming Lifetime movie about this

917
00:49:02,400 --> 00:49:04,200
Speaker 1: whole time. That will be really fun to I do

918
00:49:04,280 --> 00:49:07,440
Speaker 1: think this is going to take years in years to unpack.

919
00:49:07,600 --> 00:49:10,359
Speaker 1: And you know, all of the people who have been

920
00:49:10,360 --> 00:49:14,000
Speaker 1: claiming Trump is playing fourth dimensional chess or you know,

921
00:49:14,040 --> 00:49:16,520
Speaker 1: all all that ship and going along for the ride,

922
00:49:16,560 --> 00:49:19,440
Speaker 1: Like you guys really need to take a moment and uh,

923
00:49:19,760 --> 00:49:22,200
Speaker 1: think about how you're going to feel in a couple

924
00:49:22,239 --> 00:49:24,400
Speaker 1: of years when this is all being unpacked, if it

925
00:49:24,520 --> 00:49:27,080
Speaker 1: is all being unpacked and we're not doing the bidding

926
00:49:27,080 --> 00:49:31,480
Speaker 1: of a totalitarian dictator. Uh and you know, think about

927
00:49:31,640 --> 00:49:34,920
Speaker 1: how that's gonna look because we are keeping track of

928
00:49:35,200 --> 00:49:39,960
Speaker 1: who's on what side. Uh. So let's talk about just

929
00:49:40,040 --> 00:49:43,880
Speaker 1: more general funk are you guys? Uh MGM resorts? What

930
00:49:43,960 --> 00:49:47,279
Speaker 1: are they up to? Are basically in an attempt to

931
00:49:47,280 --> 00:49:51,399
Speaker 1: avoid liability for the Vegas shooting where Stephen Paddock killed

932
00:49:51,680 --> 00:49:56,160
Speaker 1: fifty eight people and injured eight hundred fifty. Uh, they

933
00:49:56,160 --> 00:49:59,680
Speaker 1: are basically preemptively suing over a thousand victims around just

934
00:49:59,760 --> 00:50:03,160
Speaker 1: a just over a thousand victims. Uh yeah, to get

935
00:50:03,239 --> 00:50:06,560
Speaker 1: themselves off the hook for any legal liability and suing

936
00:50:06,560 --> 00:50:10,319
Speaker 1: them for what exactly. I'm still confused. It's a lot

937
00:50:10,320 --> 00:50:18,160
Speaker 1: of weird legal ease. Yeah, yeah, basically, but because I

938
00:50:18,200 --> 00:50:20,080
Speaker 1: know that their whole thing is that they're leaning on

939
00:50:20,080 --> 00:50:24,000
Speaker 1: this idea that they had proper security there, that like,

940
00:50:24,160 --> 00:50:25,880
Speaker 1: you know, after like nine eleven, they are like certain

941
00:50:25,920 --> 00:50:27,680
Speaker 1: statutes outed to the law that like, oh, we had

942
00:50:27,680 --> 00:50:31,480
Speaker 1: this proper security company there, so therefore we did what

943
00:50:31,520 --> 00:50:35,200
Speaker 1: we had to do legally, So sorry, guys, we can't

944
00:50:35,239 --> 00:50:38,280
Speaker 1: sue us. But a lot of like the lawyers representing

945
00:50:38,320 --> 00:50:40,719
Speaker 1: the victims are basically saying like they're trying to just

946
00:50:40,760 --> 00:50:42,640
Speaker 1: take this out of state court and into federal court,

947
00:50:42,719 --> 00:50:44,440
Speaker 1: and this looks to them like they're just sort of

948
00:50:44,520 --> 00:50:48,120
Speaker 1: judge shopping for a judge who will be more inclined

949
00:50:48,160 --> 00:50:51,600
Speaker 1: to side with them, um and rule on their behalf.

950
00:50:51,680 --> 00:50:54,080
Speaker 1: But what kind of judge is going to side with

951
00:50:54,120 --> 00:50:58,440
Speaker 1: the giant corporation instead of the people, you know, the

952
00:50:58,640 --> 00:51:04,240
Speaker 1: Supreme Court, all the courts, all the courts. Now, yeah, okay, cool,

953
00:51:04,440 --> 00:51:08,320
Speaker 1: moving on. Yeah, so, uh, we wanted to talk about

954
00:51:08,640 --> 00:51:12,080
Speaker 1: Elon Musk real quick, just because he we we talked

955
00:51:12,120 --> 00:51:15,560
Speaker 1: on Monday about the fact that he accused a actual

956
00:51:16,040 --> 00:51:18,960
Speaker 1: hero who saved a bunch of children's lives or was

957
00:51:19,080 --> 00:51:21,879
Speaker 1: instrumental in saving a bunch of children's lives, of being

958
00:51:21,920 --> 00:51:26,239
Speaker 1: a pedophile. Classic right wing attack on something that jack

959
00:51:26,320 --> 00:51:32,120
Speaker 1: pro biotics or whatever the uh and yeah, now, Elon Musk.

960
00:51:32,400 --> 00:51:34,719
Speaker 1: Elon Musk also taking a page out of the right

961
00:51:34,719 --> 00:51:38,400
Speaker 1: wing book by claiming everything is fake news when people

962
00:51:38,440 --> 00:51:42,120
Speaker 1: criticize his His hairline. Uh yeah, also his hairline is

963
00:51:42,160 --> 00:51:45,360
Speaker 1: totally fake. Look at pictures from like five years ago. Honestly,

964
00:51:46,440 --> 00:51:49,000
Speaker 1: he's got a good one futuristic blow up. First, Yeah

965
00:51:49,040 --> 00:51:51,920
Speaker 1: he did get like, yeah that is our future, guys,

966
00:51:51,960 --> 00:51:56,040
Speaker 1: we will be able to get that much more hair miles. Uh,

967
00:51:57,600 --> 00:52:00,880
Speaker 1: they can solve e d first, right, so uh you

968
00:52:00,880 --> 00:52:04,359
Speaker 1: know this diver just to refresh people, this diver who

969
00:52:04,560 --> 00:52:07,880
Speaker 1: helped save these kids was like Elon Musk's child sized

970
00:52:07,880 --> 00:52:12,280
Speaker 1: submarine is stupid because it can't fit in the cave

971
00:52:12,400 --> 00:52:15,000
Speaker 1: that I know very well because I've been swimming through

972
00:52:15,080 --> 00:52:17,400
Speaker 1: and like helping save these kids, it just like wouldn't

973
00:52:17,400 --> 00:52:20,799
Speaker 1: work at all. And he said for Elon Musk to

974
00:52:20,920 --> 00:52:24,400
Speaker 1: shove his submarine up his ass, and Elon Musk responded

975
00:52:24,480 --> 00:52:28,560
Speaker 1: like a nice tripeto guy, and you know, just basically

976
00:52:28,640 --> 00:52:33,720
Speaker 1: like a spoiled child, which is not overly surprising since

977
00:52:33,760 --> 00:52:40,880
Speaker 1: he grew up. His dad owns a emerald mine in Zambia. Uh,

978
00:52:40,960 --> 00:52:45,600
Speaker 1: and African mining has always been you know, class acts,

979
00:52:45,640 --> 00:52:49,640
Speaker 1: not fucking just you know towards that. That's all you

980
00:52:49,680 --> 00:52:52,120
Speaker 1: need to say. Motherfucker had an emerald mind, is Ambi. Yeah,

981
00:52:52,200 --> 00:52:54,920
Speaker 1: he used to walk around as a teenager. There's stories

982
00:52:54,960 --> 00:52:57,440
Speaker 1: of him walking through New York City with emeralds in

983
00:52:57,520 --> 00:53:01,160
Speaker 1: his pockets just you know, just lousy. The emeralds. God,

984
00:53:01,239 --> 00:53:06,839
Speaker 1: emeralds in my bucket. And another interesting thing about him

985
00:53:07,000 --> 00:53:12,719
Speaker 1: and his father is that his dad uh recently had

986
00:53:12,760 --> 00:53:15,799
Speaker 1: a child with a third ye old woman. His dad

987
00:53:15,880 --> 00:53:18,799
Speaker 1: is in his seventies, and that third year old woman

988
00:53:18,920 --> 00:53:22,680
Speaker 1: happened to have been his stepdaughter who he had raised

989
00:53:22,800 --> 00:53:27,400
Speaker 1: from the age of four. Oh my god. Yeah, And

990
00:53:27,680 --> 00:53:31,200
Speaker 1: so it's just interesting that he would be throwing uh

991
00:53:31,520 --> 00:53:37,719
Speaker 1: pedophile stones when his dad house with a third year

992
00:53:37,719 --> 00:53:40,000
Speaker 1: old woman he raised from age four and the child

993
00:53:40,120 --> 00:53:44,840
Speaker 1: they had together. So I don't know, man, the dudes

994
00:53:45,000 --> 00:53:49,640
Speaker 1: just he comes from a very dark place. Remember when

995
00:53:49,719 --> 00:53:52,480
Speaker 1: everyone thought elm must was going to be like um

996
00:53:52,640 --> 00:53:56,800
Speaker 1: Tony Stark, Yes, some of that, but also back before

997
00:53:56,800 --> 00:54:00,080
Speaker 1: we knew like his true evil soul the zion Is

998
00:54:00,200 --> 00:54:02,560
Speaker 1: who wanted to give everybody for electricity. Why don't blanking

999
00:54:02,560 --> 00:54:05,480
Speaker 1: on names. Yes, there was a minute where when Elon

1000
00:54:05,560 --> 00:54:07,080
Speaker 1: Musk first came out where they were like this guy

1001
00:54:07,160 --> 00:54:09,360
Speaker 1: is gonna you know, he's like he's gonna be the

1002
00:54:09,360 --> 00:54:10,880
Speaker 1: great And he named his car like after Tesla and

1003
00:54:10,960 --> 00:54:12,759
Speaker 1: like that that's his vision, Like we're gonna have like

1004
00:54:13,040 --> 00:54:15,640
Speaker 1: science is our future and it's so exciting. Like in

1005
00:54:15,680 --> 00:54:17,440
Speaker 1: the last like maybe a year and a half, just

1006
00:54:17,520 --> 00:54:20,240
Speaker 1: through being on social media, he's completely tanked the idea

1007
00:54:20,280 --> 00:54:22,640
Speaker 1: of any kind of like he's like, I don't take busses.

1008
00:54:22,680 --> 00:54:25,120
Speaker 1: I'm not doing like it's gross and everyone should have

1009
00:54:25,120 --> 00:54:27,160
Speaker 1: their own car. Well, you know, buses and trains could

1010
00:54:27,200 --> 00:54:30,279
Speaker 1: save our planet. You know, public transportation is a really

1011
00:54:30,280 --> 00:54:33,920
Speaker 1: great way. It's a great equalizer amongst class division. You know,

1012
00:54:34,000 --> 00:54:38,000
Speaker 1: interested in any of those things, dope, Ellen, whatever, we

1013
00:54:38,000 --> 00:54:40,640
Speaker 1: should isolate ourselves more. I don't trust that guy and

1014
00:54:40,719 --> 00:54:43,000
Speaker 1: the whole likes of about the way he treats his workers,

1015
00:54:43,040 --> 00:54:46,720
Speaker 1: similar to what Amazon is doing. It's just like not cool.

1016
00:54:46,840 --> 00:54:49,759
Speaker 1: You gotta boy cut everybody. Yeah, it turns out the

1017
00:54:49,800 --> 00:54:54,040
Speaker 1: Tesla comparisons were just good branding. But uh, speaking of

1018
00:54:54,080 --> 00:54:57,000
Speaker 1: good branding, guys, it's time to talk about the Iowa

1019
00:54:57,080 --> 00:55:04,160
Speaker 1: State Fair. Ak what we're branding diet ref So yeah,

1020
00:55:04,239 --> 00:55:07,520
Speaker 1: August nine, it opens up a man. Look, if anybody

1021
00:55:07,520 --> 00:55:09,839
Speaker 1: can fly me out to de Moines, Iowa, the Moine,

1022
00:55:09,840 --> 00:55:13,239
Speaker 1: I'm sorry, whoa boy, I just believe it is. I

1023
00:55:13,280 --> 00:55:15,920
Speaker 1: think it's death one A. That's how I say it.

1024
00:55:16,320 --> 00:55:18,680
Speaker 1: But yes, the Des Moines Register just put out the

1025
00:55:18,760 --> 00:55:20,560
Speaker 1: list of some of the foods that will be out today,

1026
00:55:20,640 --> 00:55:23,760
Speaker 1: and my goodness, the combination of words on that list

1027
00:55:23,920 --> 00:55:27,360
Speaker 1: are mouth watering. And I was prepared, being a Midwesterner,

1028
00:55:27,400 --> 00:55:29,000
Speaker 1: and they dropped some bombs on me, and I was

1029
00:55:29,120 --> 00:55:30,520
Speaker 1: all right, because you've been to a state fair, to

1030
00:55:30,719 --> 00:55:33,839
Speaker 1: so many state fairs, so many local fairs, hown fair,

1031
00:55:33,920 --> 00:55:36,600
Speaker 1: state fairs, and the Iowa so delicious. I have not

1032
00:55:36,680 --> 00:55:41,879
Speaker 1: been to Io. I've done Illinois, I've done Indiana and Michigan. Um,

1033
00:55:41,960 --> 00:55:44,000
Speaker 1: and they're great. You know, you get your deep fried oreos,

1034
00:55:44,040 --> 00:55:46,360
Speaker 1: do you like transcend to a place of bliss for

1035
00:55:46,400 --> 00:55:49,680
Speaker 1: five minutes? It's really wonderful. Uh. Then you guys told

1036
00:55:49,680 --> 00:55:54,000
Speaker 1: me about chocolate cookie dough spaghetti, and yeah, I was

1037
00:55:54,080 --> 00:55:57,160
Speaker 1: on board until that. So here's some highlights. Okay, they

1038
00:55:57,200 --> 00:56:02,840
Speaker 1: got pork belly burnt ends, poutine o bacon pancake dippers

1039
00:56:02,280 --> 00:56:06,080
Speaker 1: for great pickle beer. Not really, but that is a

1040
00:56:06,080 --> 00:56:08,680
Speaker 1: Midwest classic. Man. We like frozen pickles. People like from

1041
00:56:08,680 --> 00:56:10,520
Speaker 1: the pickles. I'm not one of them. That's kind of

1042
00:56:11,040 --> 00:56:13,719
Speaker 1: like salty and frozen. Sound's got a whole slushy of

1043
00:56:13,760 --> 00:56:17,680
Speaker 1: frozen pickles flavor. That's a hard pass for me. They

1044
00:56:17,719 --> 00:56:21,359
Speaker 1: got snickers in a waffle on a stick. Yes, they

1045
00:56:21,400 --> 00:56:26,200
Speaker 1: got chicken in a waffle on a stick, breakfast sausage

1046
00:56:26,360 --> 00:56:31,040
Speaker 1: in a waffle on a stick, honey saracha cheese sticks, yes,

1047
00:56:31,600 --> 00:56:37,879
Speaker 1: h uh. And then the favorite cookie dough spaghetti That

1048
00:56:37,920 --> 00:56:41,719
Speaker 1: looks weird, but I mean unless it's like so in

1049
00:56:41,719 --> 00:56:43,640
Speaker 1: the Midwest, we like to do things where we call

1050
00:56:43,680 --> 00:56:46,200
Speaker 1: food a certain things because it looks similar, you know.

1051
00:56:46,520 --> 00:56:48,640
Speaker 1: So like if you guys had a walking taco before

1052
00:56:48,960 --> 00:56:51,759
Speaker 1: a walking taco, Yeah, they take it to rito's bag

1053
00:56:51,840 --> 00:56:54,440
Speaker 1: like little personal ones. They cut the top off of it,

1054
00:56:54,680 --> 00:56:58,400
Speaker 1: like basic like craft cheese, like some kind of meat

1055
00:56:58,719 --> 00:57:01,600
Speaker 1: over the top of it, like there's actual taco and

1056
00:57:01,600 --> 00:57:06,640
Speaker 1: you're like it's not. But like this cookie dough was

1057
00:57:06,719 --> 00:57:09,920
Speaker 1: like it's I don't know, like a flower noodle with

1058
00:57:10,000 --> 00:57:13,480
Speaker 1: chocolate sauces. They're just taking cookie dough through like a

1059
00:57:13,600 --> 00:57:16,560
Speaker 1: spaghetti press thing and they're just like just breaking out

1060
00:57:16,640 --> 00:57:20,040
Speaker 1: the strand as long as as long as it's Hershey

1061
00:57:20,040 --> 00:57:22,840
Speaker 1: syrup and not marinara sauce. I guess I would. It's

1062
00:57:22,840 --> 00:57:26,560
Speaker 1: actually looking out ragu old World style. Well, then I'm

1063
00:57:26,600 --> 00:57:30,120
Speaker 1: fine because that stuff is basically corn syrup. It's how

1064
00:57:30,120 --> 00:57:34,439
Speaker 1: you're Nona used to make it. Hey, my Nona man

1065
00:57:34,640 --> 00:57:38,280
Speaker 1: gravy on top of the fucking cookie dos spaghetti is

1066
00:57:38,400 --> 00:57:46,240
Speaker 1: so offensive. Hey hey, hey, whoa, I love cookie dough spaghetti.

1067
00:57:46,480 --> 00:57:48,720
Speaker 1: I'm here for it, alright, I'm just to try. Also

1068
00:57:48,800 --> 00:57:51,840
Speaker 1: deep fried pampine and stick I'm all the way in

1069
00:57:51,840 --> 00:57:54,640
Speaker 1: your final heart attack for the night. Yeah, and apple

1070
00:57:54,680 --> 00:57:58,640
Speaker 1: egg rolls, y'all fuck it. So that's just apple pie

1071
00:57:58,640 --> 00:58:00,480
Speaker 1: in the form of egg rolls. Its closed to be

1072
00:58:00,720 --> 00:58:04,800
Speaker 1: like just taking maybe Philo doll or something little, something malleable. Well,

1073
00:58:05,120 --> 00:58:09,000
Speaker 1: we'll get some reviews, hopefully from some I was like, gang, yeah,

1074
00:58:09,040 --> 00:58:10,480
Speaker 1: I know they're out there. Let us know what that

1075
00:58:10,520 --> 00:58:12,760
Speaker 1: cookie dough spaghetti is, like all those people who went

1076
00:58:12,800 --> 00:58:14,320
Speaker 1: to Limar High School, you know, get out there. Let

1077
00:58:14,360 --> 00:58:17,200
Speaker 1: me know what happened. Joel. Yes, it was lovely having

1078
00:58:17,240 --> 00:58:19,120
Speaker 1: you here. It's so great to be here. Where can

1079
00:58:19,160 --> 00:58:22,400
Speaker 1: people find you? Uh? Yeah, you all should check out pagiba.

1080
00:58:22,560 --> 00:58:26,000
Speaker 1: It sounds like vagina because it's spelled similar. It's p A. J.

1081
00:58:26,280 --> 00:58:28,800
Speaker 1: I b a dot com. We are a feminist website.

1082
00:58:28,800 --> 00:58:32,760
Speaker 1: We talk about all things, uh, from you know, facts

1083
00:58:32,760 --> 00:58:35,520
Speaker 1: and news to my corner of the internet pop culture

1084
00:58:35,960 --> 00:58:39,520
Speaker 1: so exciting, also all over the internet atual Monique j

1085
00:58:39,560 --> 00:58:41,680
Speaker 1: O E l E m O n I q u E.

1086
00:58:42,160 --> 00:58:44,880
Speaker 1: And is there a tweet that you have been enjoying

1087
00:58:45,320 --> 00:58:49,600
Speaker 1: as of Twitter? Yes, you need to check out Rebecca

1088
00:58:49,640 --> 00:58:53,080
Speaker 1: Theodore vachan Um and car Shakisha Kent For a full

1089
00:58:53,160 --> 00:58:56,360
Speaker 1: month they have been talking about colorism in film. UM.

1090
00:58:56,400 --> 00:58:59,000
Speaker 1: It started when Clark asked the question, can you name

1091
00:58:59,280 --> 00:59:02,440
Speaker 1: any dark skin female actresses under the age of thirty?

1092
00:59:02,480 --> 00:59:06,600
Speaker 1: And people were like Lapida over at thirty? UM, say

1093
00:59:06,920 --> 00:59:09,560
Speaker 1: over thirty, UM. And we found that there's this large

1094
00:59:09,800 --> 00:59:12,960
Speaker 1: void uh in film. We don't see a lot of

1095
00:59:13,200 --> 00:59:15,560
Speaker 1: dark skinned child actors and why is that? And how

1096
00:59:15,560 --> 00:59:17,800
Speaker 1: do we solve that problem? Um. You can join their

1097
00:59:17,800 --> 00:59:20,360
Speaker 1: continuing conversation. Literally every day they're bringing up new topics,

1098
00:59:20,560 --> 00:59:23,920
Speaker 1: discussing it, talking to casting directors. UM is a fascinating

1099
00:59:24,520 --> 00:59:29,000
Speaker 1: exploration of Hollywood through Twitter. M all right, we will

1100
00:59:29,080 --> 00:59:32,720
Speaker 1: check that out. Java is a great website. Miles where

1101
00:59:32,760 --> 00:59:37,200
Speaker 1: can people find you find me? Follow me, Twitter, Instagram,

1102
00:59:37,240 --> 00:59:40,920
Speaker 1: at miles of gray and a tweet that I like

1103
00:59:41,440 --> 00:59:46,360
Speaker 1: recently came from Jamie Loftus, the hacker herself, and I

1104
00:59:46,440 --> 00:59:48,600
Speaker 1: don't want you guys to fall for her hack or

1105
00:59:48,600 --> 00:59:53,000
Speaker 1: bs because she's out here perpetrating crimes against people. She tweeted,

1106
00:59:53,400 --> 00:59:55,000
Speaker 1: if you look like this, d M me, and it

1107
00:59:55,040 --> 00:59:58,000
Speaker 1: was a photo of her looking like Jamie. But I

1108
00:59:58,040 --> 01:00:00,360
Speaker 1: just want to warn people, do not like the do

1109
01:00:00,440 --> 01:00:03,320
Speaker 1: not d m her. She's a hacker, and she she's

1110
01:00:03,360 --> 01:00:05,720
Speaker 1: out here front like she knows buyineer. She doesn't, you

1111
01:00:05,760 --> 01:00:07,120
Speaker 1: know what I mean? And I may have to start

1112
01:00:07,120 --> 01:00:10,720
Speaker 1: a hackerbef with her. All right, thank you for indulging

1113
01:00:10,760 --> 01:00:17,600
Speaker 1: my nonsense, Fie. My tweet is from Tessa Bahosh on Twitter.

1114
01:00:17,960 --> 01:00:22,560
Speaker 1: She tweeted some screen caps from an article. Uh. The

1115
01:00:22,680 --> 01:00:26,560
Speaker 1: article is called on Refinery twenty nine. The article is

1116
01:00:26,600 --> 01:00:32,640
Speaker 1: called a Week in New York City on t and um.

1117
01:00:32,680 --> 01:00:36,439
Speaker 1: It's the subhead is welcome to money Diaries, where we're

1118
01:00:36,480 --> 01:00:40,920
Speaker 1: tackling what might be the last taboo facing modern working.

1119
01:00:41,440 --> 01:00:45,880
Speaker 1: And then there's like the person's bona fides where they're explaining,

1120
01:00:45,920 --> 01:00:48,880
Speaker 1: like how you know scrappy they are. And one of

1121
01:00:48,920 --> 01:00:52,640
Speaker 1: the categories is additional income, and the writer says, on

1122
01:00:52,680 --> 01:00:55,160
Speaker 1: top of my intern salary, my parents give me eight

1123
01:00:55,280 --> 01:00:58,880
Speaker 1: hundred dollars month allowance and my grandma also wires me

1124
01:00:58,920 --> 01:01:03,480
Speaker 1: three dollars every month hashtag blessed monthly expenses rent. I

1125
01:01:03,560 --> 01:01:05,640
Speaker 1: live in a one bedroom, one day and apartment. The

1126
01:01:05,680 --> 01:01:08,840
Speaker 1: total rent is four thousand dollars. My share is one.

1127
01:01:09,480 --> 01:01:13,600
Speaker 1: My parents pay in parentheses and my roommates uh next

1128
01:01:13,680 --> 01:01:16,640
Speaker 1: up student loan payment zero dollars and still in school

1129
01:01:16,680 --> 01:01:20,360
Speaker 1: and my parents pay for my education health insurance zero dollars.

1130
01:01:20,440 --> 01:01:23,640
Speaker 1: I'm on my parents plan. UH, phone bill zero dollars.

1131
01:01:23,640 --> 01:01:26,880
Speaker 1: I'm on my parents plan, Netflix, Spotify, Amazon zero dollars.

1132
01:01:26,920 --> 01:01:29,520
Speaker 1: I use my parents account. And her tweet is just

1133
01:01:29,680 --> 01:01:35,280
Speaker 1: you should not be writing about money. La la la

1134
01:01:35,400 --> 01:01:39,320
Speaker 1: la la. Have words for her. But nice guys see

1135
01:01:39,280 --> 01:01:41,600
Speaker 1: because we're talking about all the wealth is one up

1136
01:01:41,600 --> 01:01:44,400
Speaker 1: top and where we at. You guys can follow me

1137
01:01:44,600 --> 01:01:47,240
Speaker 1: on Jack Underscore Old Brian on Twitter. You can follow

1138
01:01:47,360 --> 01:01:50,200
Speaker 1: us at Daily Ziegeist on Twitter. We're at the Daily

1139
01:01:50,280 --> 01:01:54,400
Speaker 1: Zeicheist on Instagram. UH. We have a Facebook fan page

1140
01:01:54,440 --> 01:01:57,240
Speaker 1: and a website, Daily zeigeist dot com, where we post

1141
01:01:57,280 --> 01:02:00,960
Speaker 1: our episodes and link off to the information that we

1142
01:02:01,000 --> 01:02:03,919
Speaker 1: talked about on today's episode, as well as the song

1143
01:02:04,040 --> 01:02:07,880
Speaker 1: that we ride out on Miles Today's is real good.

1144
01:02:07,960 --> 01:02:10,520
Speaker 1: What's the kind of it? I just was thinking about

1145
01:02:10,680 --> 01:02:14,480
Speaker 1: the Bantoon Yards, which is Merrill Garbage's project with like

1146
01:02:14,560 --> 01:02:17,160
Speaker 1: her bassist. If you haven't heard of music, it's great.

1147
01:02:17,240 --> 01:02:20,200
Speaker 1: She usually like uses like a looping pedals and just

1148
01:02:20,280 --> 01:02:22,560
Speaker 1: plays ukul lately and like just sort of playing like

1149
01:02:22,720 --> 01:02:24,600
Speaker 1: synth drone. This is really dope. Her live shows are

1150
01:02:24,640 --> 01:02:26,960
Speaker 1: really great too. She has a song called My Country

1151
01:02:27,240 --> 01:02:29,280
Speaker 1: that has a lot of lyrics that are very relevant

1152
01:02:29,360 --> 01:02:32,480
Speaker 1: today and just sort of how I personally about this country.

1153
01:02:32,560 --> 01:02:34,360
Speaker 1: But there's one line in particular that I like that

1154
01:02:34,560 --> 01:02:37,160
Speaker 1: when I'm dedicated to Donald Trump, where there's a sort

1155
01:02:37,200 --> 01:02:39,080
Speaker 1: of a bridge line that she says where the worst

1156
01:02:39,120 --> 01:02:41,800
Speaker 1: thing about living a lie is just wondering when they'll

1157
01:02:41,840 --> 01:02:45,800
Speaker 1: find out. So you know, take that inside, uh and

1158
01:02:46,000 --> 01:02:47,920
Speaker 1: you know one day we will find out. I want

1159
01:02:48,000 --> 01:02:50,360
Speaker 1: to do something unless you have a brain that is

1160
01:02:50,800 --> 01:02:54,760
Speaker 1: incapable of feeling shame. Uh, yes, yes, yes, all good,

1161
01:02:55,840 --> 01:02:57,680
Speaker 1: All right, we're gonna write out on that. We will

1162
01:02:57,720 --> 01:03:00,680
Speaker 1: be back tomorrow because it is a day podcast we'll

1163
01:03:00,680 --> 01:03:31,560
Speaker 1: talk to my country pass let un. Can I feel

1164
01:03:31,600 --> 01:03:35,600
Speaker 1: my feat o yours? You'll let me junt me down

1165
01:03:36,160 --> 01:03:58,760
Speaker 1: into down. I love lovest night. I just stop it

1166
01:03:59,080 --> 01:04:04,800
Speaker 1: on Meerkat and Daddy make up and trying to make up.

1167
01:04:05,240 --> 01:04:15,920
Speaker 1: Mind willows, the trees unch in my lonely, lonely? What

1168
01:04:16,080 --> 01:04:18,800
Speaker 1: am I supposed to say to the little guys? But

1169
01:04:18,920 --> 01:04:22,680
Speaker 1: you want to try to have chance? The movie wake Up?

1170
01:04:23,680 --> 01:04:26,640
Speaker 1: Where are you dripping under your shin? When they have

1171
01:04:26,840 --> 01:04:29,880
Speaker 1: taking way about something when they have nothing? Who was

1172
01:04:29,920 --> 01:04:32,919
Speaker 1: thinking about living a lie? It's just wondering when they'll

1173
01:04:33,000 --> 01:04:45,440
Speaker 1: find out. I've got me what's my lost mothers to?

1174
01:04:45,920 --> 01:04:48,600
Speaker 1: And I'm telling you want to want a little in

1175
01:04:48,760 --> 01:04:54,040
Speaker 1: some bad I've got you? Well like a movie. I'll

1176
01:04:54,080 --> 01:05:01,040
Speaker 1: tell my lone wan I want you want to say

1177
01:05:02,200 --> 01:05:08,040
Speaker 1: oh yes to the blaze with the ladyfitional what I

1178
01:05:08,120 --> 01:05:14,520
Speaker 1: wanted to say. We can be happy. There's nothing of

1179
01:05:14,680 --> 01:06:32,440
Speaker 1: this SSS knowing something's sm thing about living a lie

1180
01:06:32,680 --> 01:06:34,800
Speaker 1: is just wondering when they'll find out