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Speaker 1: Hello the Internet, and welcome to season fifty six, Episode

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Speaker 1: two of dir Daily eight Geist, the podcast where we

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Speaker 1: take a deep dive into america shared consciousness and unconscious

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Speaker 1: using the headlines, box office reports, TV ratings, what's trending

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Speaker 1: on Google and social media. It's Tuesday, Election Day, November six,

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Speaker 1: two thou eight teen. My name is Jack O'Brien. A KA.

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Speaker 1: I tried miles of gray, and I choke. Try to

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Speaker 1: Jack O'Brien and I stumble, so I try to hide it.

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Speaker 1: It's clear my world crumbles when Daily Z's not here.

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Speaker 1: A little fell apart, a little bit at the end

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Speaker 1: that was courtesy of Vader for press. How appropriate. Well,

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Speaker 1: he's already voted, guys. Do you guys need to get

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Speaker 1: out there and do it yourselves? And I'm thrilled to

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

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Speaker 1: grass I walked to the valley of the Trump writer ricks.

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Speaker 1: I'll take a look at the month and realize we

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Speaker 1: gotta vote, because I've been miles of grave for so

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Speaker 1: long that even Jack O'Brien thinks my mind is gone.

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Speaker 1: But I never voted for a chump didn't deserve it.

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Speaker 1: I just added that but anyway, that is from Jay Copra.

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Speaker 1: Thank you for that Gangster's Paradise a K. And guys, yes,

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Speaker 1: to vote today if you have not already, if you're

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Speaker 1: listening right now, it's the morning, please remember to vote.

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Speaker 1: To vote is too Yeah, you sounded like a You're

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Speaker 1: going to be very profound to vote today. I've not

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Speaker 1: had any I can hear Nick. Nick's eyes rolling in

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Speaker 1: his sockets as we do these a K s. He's like, yeah,

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Speaker 1: you know how you guys used to try to find

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Speaker 1: songs that sounded like you they had your name in it.

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Speaker 1: But that's not gonna stop. That's not gonna stop us

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Speaker 1: at all. Well, we are thrilled to be joined by

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Speaker 1: the most famous person we've ever had in our third seats,

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Speaker 1: embarrassing for us, right exactly the stars some of my

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Speaker 1: favorite movies of all time. He has a new podcast

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Speaker 1: on this very network. Please join me and welcoming Kevin Pollock.

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Speaker 1: Thank you, please be seated. Thank you you You failed

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Speaker 1: to mention the recent collection of many Emmy awards. Yes,

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Speaker 1: oh that's right, that stream. I almost called it a

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Speaker 1: television show, which I assumes how most people watch it.

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Speaker 1: But on the TV, what's that show called The Marvelous

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Speaker 1: Mrs May's own that's right, and heard of it frequent. Yeah,

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Speaker 1: he's a writer on the show. Yeah yeah, Yeah, Well, Kevin,

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Speaker 1: we're going to get to know you a little bit better.

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Speaker 1: But first we're gonna take our listeners through what we're

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Speaker 1: talking about today. We're going to talk about Bohemian Rhapsody

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Speaker 1: just dominating at the box office yesterday, did you wonderful? Perfect?

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Speaker 1: We have somebody to tell us firsthand, what what the deal?

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Speaker 1: We're gonna talk about just mid term stuff and the

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Speaker 1: second block, and then we're gonna talk about death metal

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Speaker 1: music and we're going to talk about Tetris in the

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Speaker 1: third act. But first, Kevin, what is something from your

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Speaker 1: search history that is revealing about who you are? What

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Speaker 1: is in my church history that reveals? Okay? Sorry, I

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Speaker 1: always like backload the significance and it's not really fair.

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Speaker 1: I apologize. Where to vote early. I looked up that

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Speaker 1: over the weekend a couple of actresses because I'm castling

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Speaker 1: this movie I'm directing, so I had to look them up.

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Speaker 1: And you can't say who they are, certainly can't. I

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Speaker 1: don't want to jinx it. What the hell else is

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Speaker 1: in here. Are you allowed to talk about what the

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Speaker 1: movies about or anything like that? The film that I'm

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Speaker 1: allegedly directing, Uh, well, I can talk about it because

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Speaker 1: the big splashy thing was in the so called trades.

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Speaker 1: The trades, yeah, phobio. I'll let you explain that to

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Speaker 1: your listeners if you feel. And Hollywood Reporter, and they

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Speaker 1: use fun slang like bafo bio and ankle to New York, yes,

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Speaker 1: or Gotham. They call New York Gotham. Um, yeah, so

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Speaker 1: uh I wrote this sort of twisting turning who done.

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Speaker 1: It's a contemporary set, but it's an are sort of

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Speaker 1: classic and storytelling styles and um, you know in Fatalite

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Speaker 1: Detective that sort of thing, twist and turn surprises, period piece. No,

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Speaker 1: it's contemporary set, but uh, I'm very excited that it'll

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Speaker 1: have a sort of a driving indie rock sound. Bad

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Speaker 1: to spend spend the genre on. It's here a little bit,

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Speaker 1: and we're in the casting process now, allegedly shooting in

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Speaker 1: New Orleans in January. I only say allegedly because it's

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Speaker 1: been financed and fallowing apart a few times already, so

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Speaker 1: I'm not going to count on this. Yeah, son of

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Speaker 1: a bitch happening until I'm not the premiere. I used

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Speaker 1: to saying, till I'm on the set saying action. Nope,

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Speaker 1: it's got to be the premiere real till I see

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Speaker 1: it with an audience. Right, what is something you think

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Speaker 1: is overrated? Oh? Golly um? People's opinions? Yeah, fuck them?

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Speaker 1: But well, I just think, you know, there was a

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Speaker 1: time when there were a few people who had very

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Speaker 1: important opinions, and maybe arguably the we'st seeing to come

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Speaker 1: out of the entire internet is, uh, everyone is in

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Speaker 1: a very loud opinion and they seemingly matter right, matter

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Speaker 1: to them, and yeah, but their opinions stated as fact

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Speaker 1: has become a big problem. Yeah, yeah, yeah, no, for sure.

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Speaker 1: And it's also harder to gauge what sort of information

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Speaker 1: people are getting and what what is influencing people because

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Speaker 1: opinion is just on the same level as fact, as

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Speaker 1: they stated as such. So, you know, there was a

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Speaker 1: time when you would believe people who had the facts

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Speaker 1: right and there was a certain delivery which they shared

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Speaker 1: these facts, and that same exact delivery with confidence and

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Speaker 1: poise is being used with with opinion and it's fucking

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Speaker 1: everything up pretty bad. Man. Yeah, yeah, it is, so

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Speaker 1: that's over it. It used to be we only had

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Speaker 1: Andy Rooney, and that was Andy Rooney at the end.

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Speaker 1: You're too young, remember that, but it's true. But now

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Speaker 1: everyone is Andy Roony. Twitter has found a way where

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Speaker 1: even if you have a like a thousand people who

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Speaker 1: agree with you, that elevates your voice and sudden people

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Speaker 1: like and this person is the leader of some other

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Speaker 1: thing you like, I don't know, you have an overlap

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Speaker 1: of a thousand idiots or unfortunately their opinions are about

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Speaker 1: stuff besides, lines are too long. You hate it when

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Speaker 1: when migrant caravans come up with lepers and like lepers,

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Speaker 1: where did you get lepers? Andy Rooney? What the hell

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Speaker 1: are you talking about? What is something you think is underrated? Underrated? Yes, sir,

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Speaker 1: M five guys. French fries al right, great stuff. Yes,

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Speaker 1: style don't even need catchup. Yeah you really don't. They're

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Speaker 1: badass motherfucker's. It's one of those fries to where when

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Speaker 1: I first got it, I didn't realize it was just

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Speaker 1: coming in a bag. And that's my favorite type of

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Speaker 1: fried delivery, when they're just like just here, paper bag,

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Speaker 1: yeah really just paper. But yeah, because when you say bag,

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Speaker 1: it could be the little white paper bag that most

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Speaker 1: fries come in, So I wanted to back you up

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Speaker 1: with the clear visual or they or they'll put the

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Speaker 1: cup in the bag and then just over fill the

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Speaker 1: entire thing where mixed in with your change. It's arguably well,

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Speaker 1: First of all, it is absolutely the best fast food

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Speaker 1: French fry okay on the planet, and it's arguably one

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Speaker 1: of the best French fries you can get. Now, are

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Speaker 1: these the ones that are twice fried? They fry them twice,

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Speaker 1: so they're a little bit extra crisp. I actually don't.

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Speaker 1: I can't call them to mind, so I must not

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Speaker 1: have had them. They're not necessarily extra crisp, but they

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Speaker 1: are twice fried. Yeah, they're still uh, I'm gonna say

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Speaker 1: lucy goosey body shape. Yeah, I think crisp. I think stiff.

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Speaker 1: Definitely not that they don't snap man. Yeah, underrated under

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Speaker 1: good texture. I suppose I should have talked a lot

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Speaker 1: of reading. No, no, no is underrated. You nailed it.

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Speaker 1: Awareness of your surroundings also underrated. I find that to

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Speaker 1: be a real fucking problem. Almost every day, people walking around, Yeah,

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Speaker 1: just completely oblivious to their surrounding. Like, am I the

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Speaker 1: only one who's watching where they're going? Yeah, either in

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Speaker 1: my car or on foot. It's astonishing. I see a

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Speaker 1: lot of people reading and walking a lot more now,

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Speaker 1: not even on their phone, like full on books. Like guys, Yeah,

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Speaker 1: just listen to podcasts for God's an audio books the

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Speaker 1: very least. Yeah, well, you had multiple, underrated, but they

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Speaker 1: were all good. What is a myth? Finally? What is

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Speaker 1: something people think is true that you know to be false? Um? Well,

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Speaker 1: I get asked this every now and then, and it

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Speaker 1: won't seem to go away no matter how many times

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Speaker 1: on a wildly popular podcast, I straightened the record, so

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Speaker 1: I'll try once more. Um, those of us who were

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Speaker 1: in and called the usual suspects never received a script

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Speaker 1: where it wasn't clear to us who kaiser, so I

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Speaker 1: was by the end. That's a myth that people really

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Speaker 1: invested in and think it's true. There was a time

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Speaker 1: when you guys didn't know either write who CAUs while

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Speaker 1: you were shooting? Yeah, well we read the script knuckle ahead,

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Speaker 1: and the screenplay that went on the win the Academy

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Speaker 1: would did in fact include the ending, right, Yeah, so

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Speaker 1: we always knew and the amazing nous of the script

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Speaker 1: had something maybe to do with the fact that you

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Speaker 1: guys wanted to do the movie in the first place. Exactly. Yeah,

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Speaker 1: you kind of need to know what that ending is. Yes,

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Speaker 1: maybe what a movie. So those are just like fans

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Speaker 1: trying to like sort of project their fantasies and be like,

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Speaker 1: it's a legitimate urban legend that I've been I've been

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Speaker 1: asked by allegedly intelligent people like, what was it like

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Speaker 1: when you actually found out exactly, Well, I was reading

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Speaker 1: the premier or something. Yeah, we went to can Exactly.

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Speaker 1: There is some like if you do actual research, you

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Speaker 1: can find movies where that's true, where they like didn't

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Speaker 1: tell people on set, even like the sometimes they shoot

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Speaker 1: two endings right and then you definitely don't. The act

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Speaker 1: on set in the Darth Vader costume said, I didn't say, Luke,

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Speaker 1: I am your father. That was added obviously when James

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Speaker 1: Earl Jones added it, But that was like a thing

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Speaker 1: that they like kept super under wraps. I want to

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Speaker 1: say Powers. His last name is Powers, the physical actor

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Speaker 1: inside the Darth Vader. Yeah, can somebody look that up

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Speaker 1: out there and get back to it. Where would they

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Speaker 1: write to us peel Box, David Prowse, There we go,

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Speaker 1: David Prowse, Prowse powers. I had a lot of the

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Speaker 1: same letters and order. He was a bodybuilder, so let's

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Speaker 1: not forget that. Have you seen the cut of the

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Speaker 1: first Star Wars when it's just him delivering the lines

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Speaker 1: before they add James James Earl Jones. It's amazing because

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Speaker 1: he kind of like has a like sort of pretty

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Speaker 1: angry delivery, and and it just it just changes everything.

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Speaker 1: It's just so clear how much every single aspect of

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Speaker 1: that movie like contributed to it being great, because it's

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Speaker 1: just you know, and I mean it's obviously they didn't

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Speaker 1: think they were going to do that. It was just

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Speaker 1: you know, a placeholder, but it was just interesting to

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Speaker 1: see that's what the actors were responding to. PRIs intensity, right,

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Speaker 1: Priss Intensity. I would point you towards a wonderful YouTube

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Speaker 1: channel that a great comedian and comic actor, British guy

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Speaker 1: Peter Sara Finnowitz, does a thing called Sassy Trump where

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Speaker 1: he takes video Trump speaking and replaces the audio with

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Speaker 1: you know, there's drunk version and there's slowed down version,

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Speaker 1: but he does one where it's just slightly sassy, slightly

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Speaker 1: sassy Trump. Oh yeah, he did like illegal space aliens, right,

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Speaker 1: was like the one over the summer. D Yeah, it's

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Speaker 1: funny because both Darth Vader and Trump are both kind

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Speaker 1: of like messy bitches a little bit sometimes like they

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Speaker 1: are like very likely he's kind of constantly having a

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Speaker 1: tantrum sort of thing. That's right. It does make a

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Speaker 1: sort of sense both the original Darth It her actors

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Speaker 1: performance and Peter Sarafinwitz is YouTube channel. Guys, let's talk

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Speaker 1: about Bohemian Rhapsody. I feel like this is one of

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Speaker 1: those stories that was in the Zeke, just like in

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Speaker 1: the Firmament. I didn't see it this weekend, but I

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Speaker 1: took my two year old to Chipotle and we had

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Speaker 1: just been listening to the song Bohemian Rhapsody in the

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Speaker 1: and the person Apole was like, oh, did you see

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Speaker 1: the movie, and like it was just like one of

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Speaker 1: those like organic conversations that just struck up. And she

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Speaker 1: was like a twenty two year old and she was like, oh,

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Speaker 1: Queen's my favorite band, Like I can't wait to see it,

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Speaker 1: and she was like so excited two year old would

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Speaker 1: have Queeners their face, well, since at all. I love

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Speaker 1: just great singing, like if you're like a rock opera

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Speaker 1: kind of you know. But I think that's what we're

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Speaker 1: finding out because it dominated at the box office. I

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Speaker 1: think we're finding out that their reach is and I

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Speaker 1: kind of found it like it's the band that most

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Speaker 1: connects with my two year old son, like they're song.

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Speaker 1: There was a second coming, don't forget, and it was

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Speaker 1: possibly even bigger than the first. That's when I first

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Speaker 1: found out exactly it was that Bohemian Rhapsody in Wayne's

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Speaker 1: World and then on my tape player for the next

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Speaker 1: five years, just constantly, and that was still not I

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Speaker 1: remember because when I demanded my mom take me to

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Speaker 1: Music Plus when that was still a place to buy

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Speaker 1: music in l A, to buy the tape of the

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Speaker 1: Waynes Rold soundtrack for that song, she was like, you're

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Speaker 1: listening to Queen And she was like I used to

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Speaker 1: tour with them. As her translator, I was like, well, yeah,

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Speaker 1: it's backmoun but just some classic great pop songs that

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Speaker 1: we're finding out are even more timeless than maybe was

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Speaker 1: widely agreed on. But this it seems like, based on

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Speaker 1: what people have told me and Kevin, I'm interested to

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Speaker 1: hear your take that it is sort of Queen's greatest hits.

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Speaker 1: The movie sort of thing. Well, they show how a

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Speaker 1: lot of their biggest, most successful songs came to be,

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Speaker 1: you know, how, how they were either written or rehearsed

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Speaker 1: or recorded or performed in various stages, which is one

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Speaker 1: of the better storytelling devices to tell the story of

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Speaker 1: a famous band is to actually show how the fund

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Speaker 1: did you get to this song or this moment and

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Speaker 1: even in the high note, you know that craziness. There's

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Speaker 1: a moment the film where they show the recording of

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Speaker 1: the song and in that that one singer who was

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Speaker 1: the drummer according to the movie, is in the booth

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Speaker 1: trying to hit that higher note. And uh, it was

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Speaker 1: just spectacular. How Freddie Mercury just kept saying higher, amazingly

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Speaker 1: high higher. Yeah, the movie was spectacular. I assumed that

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Speaker 1: those vocals were like affected or like tuned up or

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Speaker 1: sped up or something, possibly by chemicals, but I don't think. Yeah,

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Speaker 1: this movie has an interesting backstory because so at first

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Speaker 1: Sasha Baron Cohen was connected to play Freddie Mercury, he

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Speaker 1: actually looks more like him if you think, yeah, he

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Speaker 1: looks a lot like him. Yeah, totally. And he ended

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Speaker 1: up having some issues, some clashes with the surviving band members.

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Speaker 1: He really wanted to go like full you know, just

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Speaker 1: hard our version of the story where you know, you

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Speaker 1: see all of the debauchery that like there. He had

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Speaker 1: a scene in his vision for the movie where little

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Speaker 1: people were walking around with plates of cocaine on their head,

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Speaker 1: because that was apparently a party that Freddie Mercury once attended.

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Speaker 1: Um but he said the uh he said this on

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Speaker 1: I think the Howard Stern Show that the moment he

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Speaker 1: realized he couldn't move forward was a member of the band.

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Speaker 1: This is a quote a member of the band. I

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Speaker 1: won't say who said, you know, this is such a

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Speaker 1: great movie because it's got such an amazing thing that

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Speaker 1: happens in the middle. And I go, what happens in

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Speaker 1: the middle of the movie, and he goes, you know,

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Speaker 1: Freddie dies, and I go, what happens in the second

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Speaker 1: half of the movie, and he goes, we see how

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Speaker 1: the band carries on from strength to strength. And I said, listen,

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Speaker 1: not one person is going to see a movie where

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Speaker 1: the lead character dies from aids and then you see

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Speaker 1: how the band carries on. Uh, and that isn't what

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Speaker 1: happens in the movie. Is that correct? That's not at

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Speaker 1: all what happened. That's not all so somebody So that's

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Speaker 1: what Sasha Baron Cohen was saying when he was going

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Speaker 1: back and forth with the band. The band member, one

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Speaker 1: of the band members was like, then it's about us

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Speaker 1: for the second half, and we move on from Freddie

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Speaker 1: and our attempt to find a singer who can replace

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Speaker 1: him and failing to do that. He was like, I

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Speaker 1: don't think that's gonna work so well. But somebody got

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Speaker 1: to the band, and that's not at all how the

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Speaker 1: movie is structured. One of the criticisms that's coming out

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Speaker 1: because this, despite being, you know, a big commercial success,

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Speaker 1: critics are kind of mixed on it, and the treatment

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Speaker 1: of Mercury's sexuality has been kind of panned a little bit,

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Speaker 1: for like, his first homosexual encounter comes when they're manager,

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Speaker 1: who is sort of the movie's villain, suddenly kisses him

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Speaker 1: and then the manager drags him quote unquote into a

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Speaker 1: world of drugs and gay sex parties. And that's kind

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Speaker 1: of part of Mercury's demise. Do you see that kind

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Speaker 1: of criticism, Um, I would say that's a pedestrian review.

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Speaker 1: A pedestrian review in the sense that the story ultimately

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Speaker 1: reveals when the love of his life, a woman he

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Speaker 1: was married to, I gave her a ring. I don't

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Speaker 1: think they showed an actual wedding common law wife. Yeah,

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Speaker 1: it was always referred to you had the love of

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Speaker 1: my life all the way through the film story. And

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Speaker 1: then at one point when he says to her in

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Speaker 1: a private moment, I think I might be bisexual, she says,

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Speaker 1: without hesitation, Freddie, you're gay. So is this? So that

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Speaker 1: helps us to understand that she always knew what was

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Speaker 1: fairly clear from the first time you meet him. In

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Speaker 1: the film, he's played I wouldn't say completely effeminine, but

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Speaker 1: but with a flair. And that flair is not just

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Speaker 1: dramatic or even melodramatic. It's camp the way that a

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Speaker 1: gay person who's out and open behaves in public. Right.

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Speaker 1: So Freddie in the film anyways, is portrayed as someone

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Speaker 1: who's sort of lived his life that way from the beginning. Interesting,

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Speaker 1: and then it's kind of clear to everyone that he's gay.

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Speaker 1: And then when but when he when it is shown

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Speaker 1: in the story of the film of having that kiss,

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Speaker 1: I think there was a moment before that actually where

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Speaker 1: he gets eyed up by a man and they exchange

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Speaker 1: expressions and Freddie doesn't act on it. Got it okay?

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Speaker 1: So I would I would say that's a very myopic

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Speaker 1: review of maybe for someone who's looking for something to

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Speaker 1: not like you have to remember, well you don't have

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Speaker 1: to remember, please consider that. Um Again my issue with

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Speaker 1: everyone having an opinion on the internet. It also is,

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Speaker 1: you know, film review used to be people who wrote

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Speaker 1: essays and they were learned individuals on the matter of storytelling.

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Speaker 1: So now that everyone has a blog or a or

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Speaker 1: an opinion on film, you're going to get fairly pedestrian

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Speaker 1: points of view or very personalized points of view. I

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Speaker 1: find like, like, I don't want to jump into that

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Speaker 1: person's life, but if a if a gay person saw

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Speaker 1: the film and felt like his homosexuality wasn't represented strong enough,

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Speaker 1: then they would take it as a personal affront because

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Speaker 1: they would say, have an invested interest, if you know

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Speaker 1: what I'm so, while I want to appreciate and empathize

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Speaker 1: with what that person experienced when they saw it, you know,

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Speaker 1: I think the film represents a larger picture. Yeah, I mean,

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Speaker 1: And the good thing about sites like Metacritic is that

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Speaker 1: it's sort of a democratization where you can see like

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Speaker 1: a whole spectrum of voices and choose the cure that

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Speaker 1: maybe you identify with. And I did hear that reviews

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Speaker 1: were mixed, totally mixed, And you know, it's it is

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Speaker 1: a film that elicits a great deal of excitement and emotion,

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Speaker 1: and um, you get caught up in the swirl of

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Speaker 1: what the band went through from total unknowns Cretti was

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Speaker 1: working baggage at the airport unloading off of a plane,

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Speaker 1: rise up through uh, you know, the formation of the band.

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Speaker 1: You really get caught up in their whirlwind lives and ultimately,

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Speaker 1: you know, the demise of happiness that comes with over

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Speaker 1: the top success. Totally yeah. Yeah. One other just a

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Speaker 1: thing that people pointed out about it that we probably

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Speaker 1: don't have too much time to get into, but they

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Speaker 1: were saying that his wife, his common law wife, Mary,

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Speaker 1: is somebody who he remained with like through his death

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Speaker 1: and who like nursed him, and he left most of

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Speaker 1: his things, most of his belongings and wealth to her,

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Speaker 1: and they were saying that he was more he identified

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Speaker 1: as bisexual, And so the whole like gay versus bisexual

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Speaker 1: thing is that that is something that I feel like

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Speaker 1: is in in the future or in other cultures will

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Speaker 1: look back at the idea that you're either gay or

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Speaker 1: straight as somewhat missing the mark in terms of how

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Speaker 1: people's sexuality actually operate. It seems like a very individual choice. Yeah, totally.

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Speaker 1: The rest of us need to put a title on

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Speaker 1: it so we feel better about our Exactly what box

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Speaker 1: are you in? Right? I don't like this fluidity of

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Speaker 1: a spectrum, which if it's a train, look are you

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Speaker 1: that's right? Uh, we are going to take a quick break.

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Speaker 1: We'll be right back and we're back. And as we

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Speaker 1: mentioned it as election day, get out there and vote.

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Speaker 1: Please vote, Please vote, please vote, whatever your viewpoint is,

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Speaker 1: just let's take back the country from these maniacs. Whatever

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Speaker 1: your viewpoint, or if you're one of the maniacs, there's

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Speaker 1: your chance to solidify your footing. Yeah, but you can

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Speaker 1: say at home, that's right, Yeah, you're one of the maniacs.

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Speaker 1: Make sure you're passed in front of a reflecting device

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Speaker 1: before you vote. So Trump has been closing out his

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Speaker 1: sort of roving pep rally for Donald Trump Trump tour

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Speaker 1: with some you know, usually the party in power will

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Speaker 1: point to, you know, the things that are working well

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Speaker 1: about their position. It'll be you know, look how good

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Speaker 1: things are going because we are we have all the power,

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Speaker 1: we have all the pets continue, let's continue having the power.

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Speaker 1: But that's not how Trump generally rolls, so he has

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Speaker 1: continued to sort of, you know, fight against people. Well, yeah,

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Speaker 1: I mean, I think the thing is though everyone was saying,

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Speaker 1: you know, the one thing that Republicans have a really

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Speaker 1: good economy, even though it's inherited from the past administration,

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Speaker 1: but the economy, and normally, you know, he's out there

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Speaker 1: saying I created the strongest economy or whatever, and they

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Speaker 1: like that because it's a thing people can kind of

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Speaker 1: latch onto. But Trump, again, he's in Steen mode where

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Speaker 1: he just is trying to get the base fired up,

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Speaker 1: which means xenophobia and racism. So it's been constant migrant

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Speaker 1: caravan talk at like really bizarre TV ads that are

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Speaker 1: so aggressively racist, like even Fox News had to say,

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Speaker 1: We've actually reconsidered airing this because it's too racist for

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Speaker 1: even Fox News, which should be telling you something. And

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Speaker 1: you know, the thing is that works for your base

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Speaker 1: because you know they're there, and if you're just trying

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Speaker 1: to turn them out, that's a good strategy. But this

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Speaker 1: is an election where a lot of people who may

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Speaker 1: have voted for Trump in or having second thoughts, or

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Speaker 1: other people who may be encouraged to vote might not

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Speaker 1: be convinced. And a lot of Republican congressmen or people

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Speaker 1: who are running for office right now don't like that

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Speaker 1: messaging because when you just hit the racism button over

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Speaker 1: and over when they go out to campaign, then people

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Speaker 1: come up to them and say, well, what do you think?

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Speaker 1: Is this your position too? And that puts them in

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Speaker 1: a very very awkward place because they don't want to

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Speaker 1: speak against the president, but they also might not actually

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Speaker 1: be that racist, so they don't want to. You know,

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Speaker 1: it's it just puts them in a bad place. So

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Speaker 1: Paul Ryan, I guess on Sunday called to beg the

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00:24:52,480 --> 00:24:56,639
Speaker 1: president to just focus on the economy because that is

425
00:24:56,760 --> 00:25:00,520
Speaker 1: just less divisive. You already have a slew of incidents

426
00:25:00,560 --> 00:25:03,760
Speaker 1: that have occurred, whether it's the says our say ok

427
00:25:03,880 --> 00:25:08,480
Speaker 1: bomber or the shooting in Pittsburgh. There are numerous things

428
00:25:08,600 --> 00:25:10,639
Speaker 1: like this rhetoric is just not good. It's it's it

429
00:25:10,760 --> 00:25:12,440
Speaker 1: reminds me of all these other things. And he was

430
00:25:12,560 --> 00:25:15,800
Speaker 1: begged and Trump just said no because I really like

431
00:25:15,920 --> 00:25:17,840
Speaker 1: he's like, this works with the base. And I'm sorry

432
00:25:17,920 --> 00:25:20,680
Speaker 1: he said that, but this works with the base. All

433
00:25:20,760 --> 00:25:23,760
Speaker 1: he knows how to do is pander. Yeah. Yeah, it's

434
00:25:24,280 --> 00:25:27,399
Speaker 1: to use the sports metaphor for our sports fans. There's

435
00:25:27,440 --> 00:25:30,800
Speaker 1: like the multitool athlete who can do, who's versatile and

436
00:25:30,960 --> 00:25:34,080
Speaker 1: can be put in lots of different positions, and he's

437
00:25:34,520 --> 00:25:38,200
Speaker 1: just very he's not he's like got one. He's a

438
00:25:38,240 --> 00:25:41,240
Speaker 1: home run hit, power hitter, power hitter who strikes out

439
00:25:41,280 --> 00:25:46,119
Speaker 1: a lot, and he just seems very valuable in the

440
00:25:46,280 --> 00:25:49,240
Speaker 1: right circumstances, which it seems now that two thousand six

441
00:25:49,320 --> 00:25:52,960
Speaker 1: team was. I think this is going to be a

442
00:25:53,320 --> 00:25:59,520
Speaker 1: referendum on whether his sort of anger and divisive campaigning

443
00:25:59,680 --> 00:26:04,120
Speaker 1: work across different situations. It seems like it it shouldn't

444
00:26:04,280 --> 00:26:08,640
Speaker 1: by traditional political logic, it should not be uh something

445
00:26:08,720 --> 00:26:13,040
Speaker 1: that translates. But he's also a one of a kind

446
00:26:13,600 --> 00:26:17,120
Speaker 1: hate monger who is very good at that thing. So well,

447
00:26:17,240 --> 00:26:20,440
Speaker 1: we'll see how it translates. Yeah, I mean, it's a

448
00:26:20,520 --> 00:26:23,000
Speaker 1: lot of like GOOP operatives in this political article. They

449
00:26:23,040 --> 00:26:24,640
Speaker 1: were just sort of resigned to the fact that they're

450
00:26:24,640 --> 00:26:27,560
Speaker 1: just saying, well, he hijacked the election, and all the

451
00:26:27,640 --> 00:26:30,600
Speaker 1: work we've done to try and shape messaging to avoid this,

452
00:26:30,880 --> 00:26:32,840
Speaker 1: it's like, we can't, we can't do anything. His voice

453
00:26:32,920 --> 00:26:36,879
Speaker 1: rounds everything out, so fingers crossed. But I mean, I

454
00:26:36,920 --> 00:26:40,160
Speaker 1: mean he subtly had even hinted even Trump didn't wasn't

455
00:26:40,240 --> 00:26:42,960
Speaker 1: fully confident that they the Republicans, could keep the House.

456
00:26:43,240 --> 00:26:44,719
Speaker 1: And he's like, who knows, we might lose that there

457
00:26:44,720 --> 00:26:46,200
Speaker 1: are a lot of houses, There are a lot of

458
00:26:46,280 --> 00:26:48,399
Speaker 1: there are a lot of seats the housing crisis, So

459
00:26:49,160 --> 00:26:51,560
Speaker 1: that's right. But yeah, it's yeah, this it's it's just

460
00:26:51,960 --> 00:26:54,520
Speaker 1: that's you know, the closing argument for the GOP is

461
00:26:54,640 --> 00:26:59,760
Speaker 1: a racism. So I guess vote accordingly all Yeah. Um,

462
00:27:00,040 --> 00:27:04,400
Speaker 1: Brian Kemp, who this has kind of become the marquee

463
00:27:04,480 --> 00:27:10,040
Speaker 1: matchup between Brian Kemp and Stacy Abrams in Georgia. So

464
00:27:10,119 --> 00:27:13,920
Speaker 1: Stacey Abrams has been pulling really well lately and Brian

465
00:27:14,040 --> 00:27:16,920
Speaker 1: Kemp has been pulling out all the stops of voter

466
00:27:17,040 --> 00:27:20,600
Speaker 1: suppression uh, he is the Secretary of State, so he's

467
00:27:20,600 --> 00:27:22,440
Speaker 1: in charge of a lot of the laws that make

468
00:27:22,520 --> 00:27:25,520
Speaker 1: it possible for him to suppress the vote. And he

469
00:27:25,800 --> 00:27:29,240
Speaker 1: has come out and accused the Georgia Democrats of hacking

470
00:27:29,680 --> 00:27:34,040
Speaker 1: the Republican Party. Can you explain what I actually happened, Well,

471
00:27:34,119 --> 00:27:36,560
Speaker 1: it's just weird. They're Okay, you can get into all

472
00:27:36,560 --> 00:27:38,760
Speaker 1: the moving parts, but you can boil it down to

473
00:27:38,840 --> 00:27:42,240
Speaker 1: a very simple narrative. A volunteer on the Democratic side

474
00:27:42,280 --> 00:27:44,760
Speaker 1: received an email from someone who had just done a

475
00:27:44,840 --> 00:27:48,040
Speaker 1: simple analysis of the information systems for the Georgia voting

476
00:27:48,080 --> 00:27:51,320
Speaker 1: system and found vulnerabilities and sent it to this volunteer

477
00:27:51,359 --> 00:27:53,600
Speaker 1: and said, uh, you know, some of the most basic

478
00:27:53,720 --> 00:27:57,080
Speaker 1: computer knowledge could probably begin stealing data from here, and

479
00:27:57,160 --> 00:27:59,040
Speaker 1: this is how it could be done. Just just so

480
00:27:59,200 --> 00:28:02,439
Speaker 1: you know. That person took it to their superior who

481
00:28:02,560 --> 00:28:05,400
Speaker 1: then took it to cybersecurity experts that they had employed,

482
00:28:05,480 --> 00:28:07,480
Speaker 1: just to be like, can you assess this threat of

483
00:28:07,600 --> 00:28:11,119
Speaker 1: like how vulnerable the Georgia voting system is from hacking?

484
00:28:11,680 --> 00:28:15,040
Speaker 1: And there they said, oh, yeah, it's actually very vulnerable.

485
00:28:15,359 --> 00:28:18,440
Speaker 1: So then that those cybersecurity people reached out to Brian Kemp,

486
00:28:18,520 --> 00:28:21,640
Speaker 1: who as Secretary of State that would be pretty relevant

487
00:28:21,720 --> 00:28:24,080
Speaker 1: to him since he has to watch over elections in

488
00:28:24,119 --> 00:28:27,879
Speaker 1: the State of Georgia. And he then basically took that

489
00:28:28,080 --> 00:28:31,520
Speaker 1: information to then say that the Democrats had information on

490
00:28:31,640 --> 00:28:35,080
Speaker 1: how to hack the systems and they may have been

491
00:28:35,160 --> 00:28:37,560
Speaker 1: trying to hack the system because they had noticed some

492
00:28:37,720 --> 00:28:40,520
Speaker 1: attempt to breach the system. So he used this very

493
00:28:40,640 --> 00:28:43,360
Speaker 1: weird logic of the fact that they pointed out to

494
00:28:43,680 --> 00:28:46,560
Speaker 1: him how vulnerable system was, that there are probably a

495
00:28:46,600 --> 00:28:49,680
Speaker 1: suspect in possible hack, because that's what thieves do. They

496
00:28:49,760 --> 00:28:52,640
Speaker 1: go to the police and say, just so you know,

497
00:28:53,120 --> 00:28:56,360
Speaker 1: here's our tools that we use to break into that house,

498
00:28:56,600 --> 00:29:02,120
Speaker 1: right exactly what any good ahead of the big heist,

499
00:29:02,240 --> 00:29:09,640
Speaker 1: by the way, ahead of exactly how lnerability. Yeah, just

500
00:29:09,720 --> 00:29:12,160
Speaker 1: so you know there's a vulnerability at the safe we're

501
00:29:12,200 --> 00:29:13,920
Speaker 1: trying to break into. We thought we'd share with you

502
00:29:14,000 --> 00:29:16,280
Speaker 1: all the information we gathered about the safe just in

503
00:29:16,320 --> 00:29:18,120
Speaker 1: case something I wouldn't want this to be. And this

504
00:29:18,280 --> 00:29:19,800
Speaker 1: is the thing is that this isn't They aren't the

505
00:29:19,880 --> 00:29:22,360
Speaker 1: first or the only group to warn Brian Kemp or

506
00:29:22,400 --> 00:29:25,120
Speaker 1: the State of Georgia that there are so many ways

507
00:29:25,280 --> 00:29:28,440
Speaker 1: that the voter information or voter files could be tampered

508
00:29:28,520 --> 00:29:30,720
Speaker 1: with or accessed, and a lot of people with their

509
00:29:30,760 --> 00:29:32,520
Speaker 1: hair on if I've been screaming at him and this

510
00:29:32,640 --> 00:29:34,760
Speaker 1: whole time too. His response to those people initially has

511
00:29:34,800 --> 00:29:38,280
Speaker 1: always been, Oh, that's impossible. The system is safe, it's impenetrable.

512
00:29:38,320 --> 00:29:40,640
Speaker 1: We don't have to worry about these things. Yet in

513
00:29:40,800 --> 00:29:43,320
Speaker 1: this instance, he's saying, Oh, the people who even brought

514
00:29:43,360 --> 00:29:46,120
Speaker 1: this up are probably suspect number one. The really, the

515
00:29:46,200 --> 00:29:48,440
Speaker 1: wild thing about this entire story is the fact that

516
00:29:48,560 --> 00:29:51,960
Speaker 1: his team went out and then parades this as a victory,

517
00:29:52,280 --> 00:29:54,880
Speaker 1: like they stopped like the second nine eleven from happening.

518
00:29:55,200 --> 00:29:58,840
Speaker 1: So his spokesperson for his campaign said in a statement

519
00:29:59,000 --> 00:30:02,600
Speaker 1: that they threw an effort to expose vulnerabilities in this

520
00:30:02,920 --> 00:30:07,480
Speaker 1: voter system. That was an act of desperation by Democrats. Quote.

521
00:30:07,600 --> 00:30:09,960
Speaker 1: This was a fourth quarter Hail Mary pass that was

522
00:30:10,040 --> 00:30:13,120
Speaker 1: intercepted in the end zone. Thanks to the systems and

523
00:30:13,200 --> 00:30:16,360
Speaker 1: protocols established by the Secretary of State Brian Kemp, no

524
00:30:16,520 --> 00:30:20,120
Speaker 1: personal information was breezed. These power hungry radicals should be

525
00:30:20,240 --> 00:30:28,000
Speaker 1: held accountable for their criminal behavior. That is some banana republic. Really,

526
00:30:28,160 --> 00:30:31,400
Speaker 1: this is it's I mean it's a that just shows

527
00:30:31,440 --> 00:30:33,440
Speaker 1: you how I mean if we're getting that desperate, because

528
00:30:33,440 --> 00:30:35,280
Speaker 1: I mean if when you look at the amount of

529
00:30:35,680 --> 00:30:38,560
Speaker 1: registrations or like mail in ballots that they've been trying

530
00:30:38,600 --> 00:30:40,520
Speaker 1: to put on ice to try and keep from going

531
00:30:40,600 --> 00:30:43,440
Speaker 1: Stacy Abrams, where it's likely that those votes would go

532
00:30:43,440 --> 00:30:47,560
Speaker 1: to Stacy Abrams. I mean, if he wins, you would

533
00:30:47,600 --> 00:30:49,920
Speaker 1: think that there would be massive cries for some kind

534
00:30:49,960 --> 00:30:52,720
Speaker 1: of investigation because they've pulled out all the stops, and

535
00:30:52,840 --> 00:30:55,959
Speaker 1: not just in Georgia, like all over the country, like Kansas,

536
00:30:56,000 --> 00:30:58,440
Speaker 1: North Dakota. There's been all kinds of really horrific stories.

537
00:30:58,680 --> 00:31:02,040
Speaker 1: It's too easy, um that it should be the takeaway

538
00:31:02,160 --> 00:31:05,520
Speaker 1: from the two thousand sixteen election that we need to

539
00:31:05,560 --> 00:31:08,760
Speaker 1: go back to the most archaic forms of voting. It

540
00:31:08,880 --> 00:31:10,920
Speaker 1: all needs to be physical. It all needs to take

541
00:31:10,960 --> 00:31:14,120
Speaker 1: a couple of days to count. No computers can be used.

542
00:31:14,360 --> 00:31:16,960
Speaker 1: I mean, it really does need to grind to a

543
00:31:17,080 --> 00:31:21,000
Speaker 1: halt in terms of technology to make it not vulnerable

544
00:31:21,360 --> 00:31:25,680
Speaker 1: other than human air, which you can I think police

545
00:31:25,760 --> 00:31:31,520
Speaker 1: even better by having a multitude of counting physical bodies. Right,

546
00:31:31,800 --> 00:31:35,440
Speaker 1: this person counts and then that person recounts those and

547
00:31:35,560 --> 00:31:37,880
Speaker 1: so on yeah, I mean computers. Yet it's just so

548
00:31:38,000 --> 00:31:40,560
Speaker 1: easy to either misdirect voters. But I will never be

549
00:31:40,640 --> 00:31:44,720
Speaker 1: the same. Right, the Russian Guard Service has started using

550
00:31:44,760 --> 00:31:47,520
Speaker 1: typewriters again just to go to what you're saying. Right,

551
00:31:47,600 --> 00:31:51,000
Speaker 1: They're just like, yeah, funk all that everything is vulnerable,

552
00:31:51,080 --> 00:31:53,960
Speaker 1: you dummies. Well even it's funny. And what was it

553
00:31:54,080 --> 00:31:57,120
Speaker 1: when their elections happened in Russia recently and there was

554
00:31:57,160 --> 00:31:59,480
Speaker 1: like that footage of one of the counting sites and

555
00:31:59,560 --> 00:32:04,000
Speaker 1: they were just like throwing votes. I think those are

556
00:32:04,000 --> 00:32:07,000
Speaker 1: for Putin probably just like yeah, it's all good. Yeah,

557
00:32:07,240 --> 00:32:11,320
Speaker 1: I mean I do wonder how I think it would

558
00:32:11,360 --> 00:32:14,880
Speaker 1: be extremely difficult for if the Democrats, you know, have

559
00:32:15,080 --> 00:32:18,000
Speaker 1: a bad election day to day. I think it's going

560
00:32:18,080 --> 00:32:20,440
Speaker 1: to be very difficult for them to then say, well

561
00:32:20,880 --> 00:32:23,520
Speaker 1: there were security issues, because I mean, look how difficult

562
00:32:23,560 --> 00:32:25,360
Speaker 1: it's been for them to say that about two thousand

563
00:32:25,360 --> 00:32:28,320
Speaker 1: and sixteen. Well, and that's but in the Republicans have

564
00:32:28,400 --> 00:32:31,040
Speaker 1: done a good job to put their people in positions

565
00:32:31,080 --> 00:32:34,480
Speaker 1: like this as secretaries of state or attorney generals or judges,

566
00:32:34,920 --> 00:32:37,720
Speaker 1: so they have a way to ensure minority rule no

567
00:32:37,840 --> 00:32:40,080
Speaker 1: matter what happens. And I think That's the other thing

568
00:32:40,160 --> 00:32:42,560
Speaker 1: is they've they took a queue when Obama became president,

569
00:32:42,640 --> 00:32:44,640
Speaker 1: like Okay, we're gonna have to load this deck on

570
00:32:44,800 --> 00:32:47,160
Speaker 1: whatever way possible. And now this is what's happening, Like

571
00:32:47,240 --> 00:32:50,600
Speaker 1: you're seeing the product of that. All right, So what

572
00:32:50,800 --> 00:32:53,680
Speaker 1: races are we watching tonight? Guys? What are you keeping

573
00:32:53,680 --> 00:32:56,760
Speaker 1: your eye on. We've got bet oh obviously, and that's

574
00:32:57,440 --> 00:33:00,880
Speaker 1: you know, leaning crews. It would be a huge upset

575
00:33:01,040 --> 00:33:03,840
Speaker 1: if better were to pull it off. And then you've

576
00:33:03,840 --> 00:33:09,600
Speaker 1: got Gill him Abraham's both looking good ish for democ Yeah,

577
00:33:09,840 --> 00:33:12,400
Speaker 1: I mean very Hey, these are the kinds of races

578
00:33:12,480 --> 00:33:15,600
Speaker 1: that I think will really help people understand what direction

579
00:33:15,680 --> 00:33:17,880
Speaker 1: a wave is moving. If there's a wave, if there's

580
00:33:17,920 --> 00:33:20,360
Speaker 1: a I don't know, what's a smaller wave, a bit

581
00:33:20,400 --> 00:33:23,440
Speaker 1: of a ripple, ripple. Yeah, And then I know John

582
00:33:23,480 --> 00:33:25,920
Speaker 1: Tester and Montana's one Republicans are we're looking at to

583
00:33:25,960 --> 00:33:30,000
Speaker 1: try and turn red. Claire mccaskell is barely hanging on

584
00:33:30,240 --> 00:33:35,680
Speaker 1: in Missouri. Uh, Heidi height camp might Uh that's yeah.

585
00:33:35,760 --> 00:33:39,280
Speaker 1: That one's basically a loss. Ye. But one one that's

586
00:33:39,320 --> 00:33:44,320
Speaker 1: really interesting is Abigail Spamburger, who is in Virginia's seventh district,

587
00:33:44,360 --> 00:33:48,479
Speaker 1: which is Eric Cantor's old seat, who was unseated by

588
00:33:48,560 --> 00:33:51,000
Speaker 1: this guy, Dave Bratt. And this has been a pretty

589
00:33:51,120 --> 00:33:53,800
Speaker 1: solid red district for a long time. But she is

590
00:33:53,880 --> 00:33:57,800
Speaker 1: a very interesting candidate. She has like an insanely like

591
00:33:58,360 --> 00:34:03,520
Speaker 1: credible national security background. She's a CIA operative, so she's

592
00:34:03,560 --> 00:34:06,280
Speaker 1: not she's not any novice when it comes to national security,

593
00:34:06,760 --> 00:34:09,560
Speaker 1: and she has really been closing in on this seat too.

594
00:34:09,640 --> 00:34:11,480
Speaker 1: And it's the kind of race that I think is

595
00:34:11,520 --> 00:34:14,160
Speaker 1: indicative of like you have a solidly red seat, but

596
00:34:14,320 --> 00:34:18,799
Speaker 1: you're seeing a democratic challenge or really performed like overperformed

597
00:34:18,840 --> 00:34:22,160
Speaker 1: really in the district. Uh, And we'll see how a

598
00:34:22,280 --> 00:34:25,680
Speaker 1: lot of these suburban like excurb voters go. But I

599
00:34:25,719 --> 00:34:27,520
Speaker 1: think that's when to look out for and could be

600
00:34:27,800 --> 00:34:30,440
Speaker 1: an indicator of other things to come. But I mean

601
00:34:30,480 --> 00:34:32,720
Speaker 1: it's tense, and I think just like over the weekend,

602
00:34:32,920 --> 00:34:35,120
Speaker 1: SNL kind of summed it up with that like fake

603
00:34:35,440 --> 00:34:37,600
Speaker 1: video about the blue wave coming and everyone is like

604
00:34:37,680 --> 00:34:41,080
Speaker 1: through Clent's teeth like smiling, like super nervous. Yeah. I mean,

605
00:34:41,120 --> 00:34:44,560
Speaker 1: because you know, traditional wisdom failed us last time, or

606
00:34:44,680 --> 00:34:46,680
Speaker 1: what we were relying on to try and indicate with

607
00:34:46,719 --> 00:34:51,400
Speaker 1: the six Team, we were complacent. Yeah, exactly. So I

608
00:34:51,560 --> 00:34:55,080
Speaker 1: like the idea that we're nervous, yeah and doing trying

609
00:34:55,160 --> 00:34:57,920
Speaker 1: to do something about it. Um, this seems like a

610
00:34:58,000 --> 00:35:01,799
Speaker 1: perfect time to mention I have an all new comedy podcast. Yes,

611
00:35:02,280 --> 00:35:04,880
Speaker 1: it has a relief It's called comic Relief for a

612
00:35:04,960 --> 00:35:10,600
Speaker 1: for a reason. Uh, the general terminology. Uh, I'm getting it.

613
00:35:11,239 --> 00:35:13,600
Speaker 1: We'll get to it whenever you guys want to talk about. Yes,

614
00:35:13,920 --> 00:35:17,000
Speaker 1: and then Steve King very funny coming off of comedy

615
00:35:17,520 --> 00:35:22,640
Speaker 1: Steve King Open White Supremacists is you know, has been

616
00:35:22,719 --> 00:35:25,239
Speaker 1: slated to win. But the guy who's running against him,

617
00:35:25,239 --> 00:35:29,920
Speaker 1: who's a complete political newcomer, J D. Scholton, former professional pitcher,

618
00:35:30,760 --> 00:35:34,359
Speaker 1: He's making a run at Steve King's I was fourth

619
00:35:34,400 --> 00:35:37,520
Speaker 1: congressional district and you know the Cook. This is one

620
00:35:37,560 --> 00:35:40,320
Speaker 1: of those ones where the Cook Political Report, which you know,

621
00:35:40,480 --> 00:35:43,280
Speaker 1: as Miles has shared back in his political days, that's

622
00:35:43,560 --> 00:35:46,320
Speaker 1: the report that you checked every morning, even to the

623
00:35:46,360 --> 00:35:48,000
Speaker 1: point that I was like, what's going on with Cook

624
00:35:48,040 --> 00:35:49,960
Speaker 1: Political Report? And he was like, oh, it's always there's

625
00:35:49,960 --> 00:35:53,400
Speaker 1: always long lag time because all the political consultants are

626
00:35:53,480 --> 00:35:56,839
Speaker 1: checking it that are just their servers right, yeah, well

627
00:35:57,040 --> 00:35:58,920
Speaker 1: a little bit of both, I think right now, especially

628
00:35:59,000 --> 00:36:01,200
Speaker 1: though because it's getting so tight, everyone looks to Charlie

629
00:36:01,239 --> 00:36:04,600
Speaker 1: Cook too. Yeah, look at the read the tea leaves. Yeah,

630
00:36:04,680 --> 00:36:07,000
Speaker 1: and they do a good job. And this is the

631
00:36:07,600 --> 00:36:11,960
Speaker 1: King Chulton race is one where it's going from you know,

632
00:36:12,120 --> 00:36:16,960
Speaker 1: solid our solid Republican to likely Republican to now just

633
00:36:17,160 --> 00:36:20,879
Speaker 1: a lean Republican. So it's moving to the left. It's

634
00:36:20,960 --> 00:36:23,919
Speaker 1: moving democratic, but it's just a question of whether it's

635
00:36:24,000 --> 00:36:26,840
Speaker 1: going to move yeah far enough. Well, there's always so

636
00:36:26,960 --> 00:36:29,480
Speaker 1: many ways to look at polling, and it truly is

637
00:36:29,600 --> 00:36:31,600
Speaker 1: I've noticed like a lot of the reporting on poles

638
00:36:31,680 --> 00:36:34,000
Speaker 1: comes out really it is sort of if you are

639
00:36:34,040 --> 00:36:36,880
Speaker 1: a half empty or half full kind of person, because

640
00:36:37,000 --> 00:36:41,200
Speaker 1: for example, like the Democrat lead in the generic ballot

641
00:36:41,440 --> 00:36:44,080
Speaker 1: is something people go, well, it's tightening or it's widening.

642
00:36:44,280 --> 00:36:46,080
Speaker 1: And you can look at it in a few ways,

643
00:36:46,160 --> 00:36:48,280
Speaker 1: like if you look on an arc right from June

644
00:36:48,360 --> 00:36:51,640
Speaker 1: to September, the lead that the Democrats took on a

645
00:36:51,719 --> 00:36:54,600
Speaker 1: generic ballot just like shoots up, so it's searched, and

646
00:36:54,680 --> 00:36:58,719
Speaker 1: then in September it like dropped slightly. So depending on

647
00:36:59,120 --> 00:37:02,000
Speaker 1: who you are, you could say that the Democrat has

648
00:37:02,040 --> 00:37:06,520
Speaker 1: grown substantially, like over time in the summer months, or

649
00:37:07,080 --> 00:37:10,200
Speaker 1: you can say that since September it's waned a little bit,

650
00:37:10,520 --> 00:37:12,359
Speaker 1: but the fact of the matter remains like it's been

651
00:37:12,360 --> 00:37:15,080
Speaker 1: a pretty consistent upward trajectory and then sort of a

652
00:37:15,200 --> 00:37:17,880
Speaker 1: leveling off. And yeah, but I think it's a lot

653
00:37:17,920 --> 00:37:19,680
Speaker 1: of people who write on this stuff they don't want

654
00:37:19,719 --> 00:37:23,720
Speaker 1: to fall into the same sort of mistake of be like, oh, yeah, solid,

655
00:37:24,000 --> 00:37:26,479
Speaker 1: it's moving the right way, Everything's going to be fine.

656
00:37:26,640 --> 00:37:28,120
Speaker 1: But I think in the end, there's the only way

657
00:37:28,160 --> 00:37:30,200
Speaker 1: to guarantee that is everyone gets their ass to the

658
00:37:30,320 --> 00:37:34,120
Speaker 1: polls if you haven't already. Now there's no excuse to

659
00:37:34,239 --> 00:37:36,640
Speaker 1: vote if you're if you're allowed to have an opinion,

660
00:37:36,920 --> 00:37:39,520
Speaker 1: which we've been talking about how everyone is forced now

661
00:37:40,320 --> 00:37:44,520
Speaker 1: to listen to all the fucking opinions, then that would

662
00:37:44,520 --> 00:37:46,800
Speaker 1: be a good law, right. You can't can Twitter account

663
00:37:46,880 --> 00:37:49,760
Speaker 1: unless you fucking vote and we can verify that vote

664
00:37:49,840 --> 00:37:53,399
Speaker 1: or shut your Yeah, and there is So we talked

665
00:37:53,480 --> 00:37:56,719
Speaker 1: last week about how millennials are becoming the largest contingent

666
00:37:56,960 --> 00:38:01,600
Speaker 1: of adults in the United States and how their voting

667
00:38:01,719 --> 00:38:05,680
Speaker 1: records has suggested that they are just not politically engaged,

668
00:38:05,800 --> 00:38:09,120
Speaker 1: not interested. While they may be the most opinionated of

669
00:38:09,800 --> 00:38:14,600
Speaker 1: members of the internet, they are not the most politically motivated.

670
00:38:15,080 --> 00:38:19,480
Speaker 1: There are some early indicators that suggests that maybe that

671
00:38:19,680 --> 00:38:24,360
Speaker 1: is changing in this election, because millennial turnout for early

672
00:38:24,480 --> 00:38:28,160
Speaker 1: voting compared to two thousand fourteen is up to a

673
00:38:28,280 --> 00:38:34,279
Speaker 1: pretty ridiculous degree across the country, especially in states that matter, Yeah, Arizona, Georgia. Well,

674
00:38:34,320 --> 00:38:38,960
Speaker 1: when those high school kids across the country protested and

675
00:38:39,040 --> 00:38:43,520
Speaker 1: had marchers on, they couldn't seem more motivated. And that

676
00:38:43,719 --> 00:38:46,680
Speaker 1: they're all coming of age to vote is one of

677
00:38:46,760 --> 00:38:50,480
Speaker 1: the more exciting things for the Democrats. Absolutely, and that's

678
00:38:50,480 --> 00:38:53,239
Speaker 1: could be the thing that the polls don't can't measure too.

679
00:38:53,280 --> 00:38:54,440
Speaker 1: And I think that's what a lot of people on

680
00:38:54,480 --> 00:38:56,480
Speaker 1: the betto or rock side are saying. It's like it's

681
00:38:56,520 --> 00:38:58,360
Speaker 1: in the same way how Trump was sort of this

682
00:38:58,440 --> 00:39:02,480
Speaker 1: insurgent campaign that it's hard to sort of quantify. That's

683
00:39:02,560 --> 00:39:03,960
Speaker 1: that's sort of the same feeling because when you look

684
00:39:03,960 --> 00:39:06,680
Speaker 1: at some of the numbers right in Georgia, for example,

685
00:39:06,960 --> 00:39:10,560
Speaker 1: it's four hundred and fifteen percent higher than the last

686
00:39:10,640 --> 00:39:16,800
Speaker 1: mid terms. Tennessee, that's just a ridiculous, astounding. Yeah, Tennessee,

687
00:39:16,880 --> 00:39:20,720
Speaker 1: it's seven hundred and sixty seven percent higher, which people

688
00:39:21,080 --> 00:39:24,200
Speaker 1: Republicans have been like, Okay, we don't care what Taylor

689
00:39:24,280 --> 00:39:26,879
Speaker 1: Swift says. She can shut her mouth. It's like, well,

690
00:39:27,080 --> 00:39:30,080
Speaker 1: Taylor Swift might have driven a little bit. And I

691
00:39:30,160 --> 00:39:32,480
Speaker 1: know there's just but again, there's been so much grassroots

692
00:39:32,520 --> 00:39:35,040
Speaker 1: and an organizing effort from at every level to do this,

693
00:39:35,120 --> 00:39:36,560
Speaker 1: so it's hard to pin it on any one thing.

694
00:39:36,640 --> 00:39:42,359
Speaker 1: But yeah, Texas fo percent increased, Virginia increase. It's it's

695
00:39:42,400 --> 00:39:44,920
Speaker 1: just skyrocketing. And when you look at the amount of

696
00:39:45,080 --> 00:39:46,560
Speaker 1: you know, we were saying last week, I think something

697
00:39:46,960 --> 00:39:51,160
Speaker 1: close to of millennials will definitely vote or we're saying

698
00:39:51,200 --> 00:39:54,480
Speaker 1: they're very close to voting, right, they look at now

699
00:39:54,560 --> 00:39:56,520
Speaker 1: like sort of the kinds of things that they care about,

700
00:39:56,680 --> 00:39:59,959
Speaker 1: and percent of these people surveyed was saying they supp

701
00:40:00,080 --> 00:40:02,919
Speaker 1: or to federal jobs guarantee with fifteen dollar an hour

702
00:40:03,000 --> 00:40:06,040
Speaker 1: minimum wage and family and paid you know, sick leave,

703
00:40:06,520 --> 00:40:09,680
Speaker 1: and you know, increasing support for Medicare for all and

704
00:40:09,960 --> 00:40:12,560
Speaker 1: more public university tuition funding and things like that. So

705
00:40:13,120 --> 00:40:14,640
Speaker 1: these are like, you know, you're starting to see what

706
00:40:14,719 --> 00:40:17,040
Speaker 1: the values are of this generation. It's more about you know,

707
00:40:17,239 --> 00:40:20,600
Speaker 1: being able to have a decent wage, have access to healthcare,

708
00:40:20,640 --> 00:40:23,400
Speaker 1: have access to education, and it's not like, hey, we

709
00:40:23,520 --> 00:40:26,640
Speaker 1: need to gut social Security or something some other stuff

710
00:40:26,680 --> 00:40:30,400
Speaker 1: like that, which is more the existing establishment conservative ideology

711
00:40:30,680 --> 00:40:34,440
Speaker 1: that's in the White House in Congress. Yeah, and you

712
00:40:34,480 --> 00:40:38,520
Speaker 1: are a Shahiti, the actress from Blackish who just turned

713
00:40:38,760 --> 00:40:43,479
Speaker 1: eighteen in February and has been out there registering people.

714
00:40:43,560 --> 00:40:46,640
Speaker 1: Her age to vote is another kind of inspiring story.

715
00:40:46,840 --> 00:40:49,799
Speaker 1: So maybe it's just like the people younger than millennials

716
00:40:49,840 --> 00:40:51,600
Speaker 1: are about. Yeah, we've got to come up with a

717
00:40:51,640 --> 00:40:55,800
Speaker 1: new name because gen Zah. Yeah. Yeah. And when I

718
00:40:55,840 --> 00:40:57,680
Speaker 1: would saying come up with I mean, tell me what

719
00:40:57,800 --> 00:41:03,120
Speaker 1: the name or just stop calling them millennials because they

720
00:41:03,200 --> 00:41:05,759
Speaker 1: aren't the millennials seem to be the ones we made

721
00:41:05,800 --> 00:41:12,879
Speaker 1: fun of five eight years ago being lazy. No good, Yeah,

722
00:41:13,560 --> 00:41:19,200
Speaker 1: well not you, because you're clearly not representing the generalization

723
00:41:19,239 --> 00:41:23,360
Speaker 1: I'm talking about. But this gen z Um is exciting

724
00:41:23,400 --> 00:41:26,399
Speaker 1: as hell quite frankly. Yeah, no, absolutely, all right, we're

725
00:41:26,400 --> 00:41:29,160
Speaker 1: gonna take another quick break and we didn't talk about it,

726
00:41:29,239 --> 00:41:44,560
Speaker 1: and then we'll talk about and we're back and miles.

727
00:41:45,560 --> 00:41:51,480
Speaker 1: We're talking black metal music for metal, not metal for dark. Yes,

728
00:41:52,400 --> 00:41:55,359
Speaker 1: have you ever been to a UK record store where

729
00:41:55,719 --> 00:41:58,240
Speaker 1: just like Rapp and R and B are just titled

730
00:41:58,360 --> 00:42:01,800
Speaker 1: black music no swear to go, I mean back in

731
00:42:02,160 --> 00:42:05,360
Speaker 1: two thousand, oh cool, but the entire section of record

732
00:42:05,400 --> 00:42:09,200
Speaker 1: store was called over at the h MV. Yeah, well no,

733
00:42:09,360 --> 00:42:11,640
Speaker 1: there was a researcher who was trying to figure out

734
00:42:11,719 --> 00:42:14,239
Speaker 1: like what the appeal was of black metal music because

735
00:42:14,320 --> 00:42:16,200
Speaker 1: it's sort of the same thinking of like how violent

736
00:42:16,320 --> 00:42:18,920
Speaker 1: video games people like, well, these are gonna make people violent, right,

737
00:42:18,960 --> 00:42:20,719
Speaker 1: so if you're listening to black metal, you're probably an

738
00:42:20,800 --> 00:42:24,160
Speaker 1: agro murderer because that's what the thematically, what the music

739
00:42:24,280 --> 00:42:26,759
Speaker 1: is around. So you know, he decided to kind of

740
00:42:26,880 --> 00:42:31,120
Speaker 1: do a not the most scientifically sound study because it's

741
00:42:31,120 --> 00:42:32,799
Speaker 1: a lot of self reporting, but he got a group

742
00:42:32,880 --> 00:42:34,879
Speaker 1: of non black metal fans in a group of black

743
00:42:34,960 --> 00:42:38,440
Speaker 1: metal fans, uh self described black metal fans to take

744
00:42:38,440 --> 00:42:41,120
Speaker 1: a listen to some tracks and see how they felt after.

745
00:42:41,239 --> 00:42:42,880
Speaker 1: And some of the tracks that they were listening to

746
00:42:43,000 --> 00:42:47,040
Speaker 1: where songs like Slowly We Wrought by Obituary, Waiting for

747
00:42:47,160 --> 00:42:52,320
Speaker 1: the Screams by Autopsy and obviously the cannibal corpse fucking

748
00:42:52,400 --> 00:42:55,920
Speaker 1: classic hammer smashed face. If you remember in ace Ventura,

749
00:42:56,280 --> 00:42:58,239
Speaker 1: the first movie, when he goes to a concert when

750
00:42:58,280 --> 00:42:59,960
Speaker 1: he's meeting the dude where he has to do with

751
00:43:00,000 --> 00:43:02,560
Speaker 1: a New England clam chowder code. He's at a he's

752
00:43:02,560 --> 00:43:06,200
Speaker 1: at a metal show. That's cannibal corpse plan. Yeah. Anyway,

753
00:43:06,280 --> 00:43:08,640
Speaker 1: so he found that after these people listen to the

754
00:43:08,719 --> 00:43:10,960
Speaker 1: music that you know, the non fans are like, it

755
00:43:11,080 --> 00:43:14,040
Speaker 1: just sounds like people screaming because they're whiny and hate

756
00:43:14,080 --> 00:43:15,920
Speaker 1: their parents, sort of like they were put off by

757
00:43:15,960 --> 00:43:19,600
Speaker 1: the music, where the actual fans they report experiencing feelings

758
00:43:19,680 --> 00:43:24,040
Speaker 1: of empowerment, joy, peace, and transcendence. Uh. And so he

759
00:43:24,200 --> 00:43:26,200
Speaker 1: was and it wasn't like it had nothing to do

760
00:43:26,280 --> 00:43:28,279
Speaker 1: with anger attention. They never felt like that at all.

761
00:43:28,640 --> 00:43:31,160
Speaker 1: And he was sort of scratching his head and was wondering, Okay, then,

762
00:43:31,560 --> 00:43:33,440
Speaker 1: like the appeal of it must be sort of that

763
00:43:34,120 --> 00:43:37,400
Speaker 1: the fact that the lyrics are so aggressive and pronounced

764
00:43:37,480 --> 00:43:40,200
Speaker 1: that it's very divisive, so you're either going to love

765
00:43:40,280 --> 00:43:42,120
Speaker 1: it or you're gonna hate it. And he found that

766
00:43:42,120 --> 00:43:44,880
Speaker 1: a lot of the fans of black metal already nonconformists,

767
00:43:45,239 --> 00:43:47,960
Speaker 1: so the fact that people who like it helped sort

768
00:43:48,000 --> 00:43:50,040
Speaker 1: of self define them a bit more like they can

769
00:43:50,120 --> 00:43:51,960
Speaker 1: wear it as a badge of honor. It's like, yeah,

770
00:43:52,000 --> 00:43:53,920
Speaker 1: this music appeals to me, and I'm not interested in

771
00:43:54,000 --> 00:43:56,640
Speaker 1: that music. And to him, that's what he thought the

772
00:43:56,719 --> 00:43:59,960
Speaker 1: appeal was of metal. I mean, it's just just heavy music,

773
00:44:00,200 --> 00:44:02,840
Speaker 1: you know, wants your head to explore, something about a

774
00:44:02,960 --> 00:44:07,440
Speaker 1: numbing effect that might bring on a peaceful feeling. That

775
00:44:07,640 --> 00:44:10,680
Speaker 1: the music is more aggressive, loud, and angry than you

776
00:44:10,960 --> 00:44:14,200
Speaker 1: could ever be. So therefore it sort of calms you

777
00:44:14,920 --> 00:44:17,799
Speaker 1: because you thought you were aggressive and angry and now

778
00:44:17,960 --> 00:44:21,160
Speaker 1: you don't feel as much because this music, yeah, way

779
00:44:21,280 --> 00:44:24,200
Speaker 1: more intense than I'm feeling. Really just like sludge like metal,

780
00:44:24,320 --> 00:44:27,520
Speaker 1: Like that's slower and wigh, heavier. And those people at

781
00:44:27,560 --> 00:44:31,200
Speaker 1: those shows aren't like violently washing, they're more just intensely

782
00:44:31,400 --> 00:44:34,880
Speaker 1: just head binged, so you know it. And again, these

783
00:44:34,920 --> 00:44:38,839
Speaker 1: are like sounds that people are like custom making instruments

784
00:44:38,920 --> 00:44:42,359
Speaker 1: to hit frequencies that are just so low, so heavy

785
00:44:42,480 --> 00:44:45,080
Speaker 1: that they'll just make your chest cave in yeah show,

786
00:44:45,280 --> 00:44:48,360
Speaker 1: and I mean they're hearing, they're legitimately the sound is

787
00:44:48,440 --> 00:44:51,279
Speaker 1: hitting their brain in a different it might as well

788
00:44:51,320 --> 00:44:53,439
Speaker 1: be a different sound than the sound hitting our brand

789
00:44:53,480 --> 00:44:57,080
Speaker 1: as non fans, and like it's just they're processing it

790
00:44:57,120 --> 00:45:00,040
Speaker 1: differently because they have so much context and then know

791
00:45:00,239 --> 00:45:03,400
Speaker 1: all the different like they know where each note fits

792
00:45:03,480 --> 00:45:07,640
Speaker 1: within the context of all the other black metal they've heard. So, uh,

793
00:45:08,080 --> 00:45:10,520
Speaker 1: you have the same debate though about Cardi B. In

794
00:45:10,600 --> 00:45:14,080
Speaker 1: my opinion, yeah, well Cardi B. We we happen to

795
00:45:14,160 --> 00:45:17,040
Speaker 1: be fans of Cardi B. But my brain I think

796
00:45:17,160 --> 00:45:20,920
Speaker 1: that's so the it falls on either side. Yeah, I

797
00:45:20,920 --> 00:45:23,359
Speaker 1: think some people are like, what, Yes, I think it's

798
00:45:23,400 --> 00:45:27,080
Speaker 1: a very devisive, Yeah, very divided. I mean, how heavy

799
00:45:27,160 --> 00:45:29,480
Speaker 1: do you get Jack with your what's the heaviest ship

800
00:45:29,560 --> 00:45:32,919
Speaker 1: you listened to? I don't know. I guess like Guns

801
00:45:32,960 --> 00:45:37,040
Speaker 1: and Roses and some Metallica would probably, which is like

802
00:45:37,320 --> 00:45:40,839
Speaker 1: every fan of black metal, just like scoffed yea, Kevin,

803
00:45:40,880 --> 00:45:45,600
Speaker 1: what's the heaviest music you listen to? The heaviest you go, Yeah,

804
00:45:45,680 --> 00:45:51,359
Speaker 1: it doesn't really register on the playlist in any way,

805
00:45:51,400 --> 00:45:55,560
Speaker 1: shape or form. I much preferred, you know, new wave

806
00:45:56,200 --> 00:45:59,319
Speaker 1: from the eighties than the long haired metal band there. Yeah,

807
00:45:59,520 --> 00:46:02,200
Speaker 1: way a way more. I'll listen to some torch, you know,

808
00:46:02,480 --> 00:46:05,680
Speaker 1: some tar pit carnivore. I don't know, are you making

809
00:46:05,719 --> 00:46:08,759
Speaker 1: that up? No? They basically up that kind of says

810
00:46:08,760 --> 00:46:12,799
Speaker 1: it all. You're making a carnivore. Yeah, it's amazing song

811
00:46:13,280 --> 00:46:16,279
Speaker 1: like the Bassis has a just called the bomb note.

812
00:46:16,360 --> 00:46:22,480
Speaker 1: I mean that's evocative tar pit carnivores. I would I

813
00:46:22,560 --> 00:46:24,960
Speaker 1: would write out on it, but if you had headphones

814
00:46:25,080 --> 00:46:28,320
Speaker 1: it would. You can't even listen to this properly. And

815
00:46:28,440 --> 00:46:31,680
Speaker 1: it is what I like it all music. But I

816
00:46:31,840 --> 00:46:35,760
Speaker 1: just feel like before you talk about any music negatively,

817
00:46:35,880 --> 00:46:39,400
Speaker 1: just realized that everybody says the music they don't like

818
00:46:39,600 --> 00:46:44,000
Speaker 1: all sounds the same. Like basically all negative music criticism

819
00:46:44,080 --> 00:46:45,960
Speaker 1: all sounds the same. You're all saying the same ship

820
00:46:46,040 --> 00:46:48,759
Speaker 1: and it's not true in any objective sense. So like,

821
00:46:49,280 --> 00:46:52,080
Speaker 1: just well none of its objective, the exact the thing

822
00:46:52,160 --> 00:46:56,840
Speaker 1: about any art form, the most subjective thing. Frankly, Yeah, absolutely,

823
00:46:56,880 --> 00:46:59,640
Speaker 1: I don't think less of someone who loves a certain

824
00:46:59,719 --> 00:47:03,040
Speaker 1: music that I can't listen to a second of yeah

825
00:47:03,200 --> 00:47:05,719
Speaker 1: it's just not for me. Well you're not a shitty person,

826
00:47:05,760 --> 00:47:07,680
Speaker 1: because I think a shitty person has the attitude of like,

827
00:47:07,760 --> 00:47:09,120
Speaker 1: well you like this and you're an idiot. So fun.

828
00:47:09,400 --> 00:47:11,279
Speaker 1: I mean, I feel that way about Dodger fans, but

829
00:47:11,360 --> 00:47:14,399
Speaker 1: I don't know. It's nice to be Giants fan. It's

830
00:47:14,440 --> 00:47:18,080
Speaker 1: nice of you guys to suit up, yeah, and at

831
00:47:18,160 --> 00:47:20,839
Speaker 1: least go to the World Series, unlike your fans who

832
00:47:21,000 --> 00:47:24,359
Speaker 1: left in the seventh inning. But anyways, are you Giants fan?

833
00:47:24,760 --> 00:47:26,960
Speaker 1: I went to high school with Dave Righetti. We can

834
00:47:27,000 --> 00:47:31,000
Speaker 1: finish talking about my my lifelong fanship of San Francisco,

835
00:47:31,120 --> 00:47:33,279
Speaker 1: my hometown. Yeah right right, that's what I had, the

836
00:47:33,320 --> 00:47:35,600
Speaker 1: starting lineup of Dave Righetti when I was a kid,

837
00:47:35,880 --> 00:47:38,160
Speaker 1: because he pushed. He pitched for the Yankees at one point,

838
00:47:38,520 --> 00:47:41,399
Speaker 1: you know, hit a rookie year fourth of July. Yeah,

839
00:47:41,719 --> 00:47:44,680
Speaker 1: that's true. I had his little these little figurines that

840
00:47:44,840 --> 00:47:48,000
Speaker 1: was that popular in the eighties, the sort of photo

841
00:47:48,080 --> 00:47:51,879
Speaker 1: realistic ones in the statue, I mean kind of yeah. Yeah,

842
00:47:51,920 --> 00:47:53,919
Speaker 1: my Jerry Rice one looks like a fucking I don't

843
00:47:53,920 --> 00:48:00,480
Speaker 1: even know. Yeah, he had one huge eye really serving

844
00:48:00,920 --> 00:48:04,120
Speaker 1: not not real life, not real life. But the poses

845
00:48:04,160 --> 00:48:08,040
Speaker 1: were cool. Yeah. Willie Randolph like fielding a grounder, which

846
00:48:08,120 --> 00:48:11,040
Speaker 1: was cool. Yeah. Uh, these are the eighties Yankees that

847
00:48:11,080 --> 00:48:13,439
Speaker 1: I liked when I was six years old. Alright, let's

848
00:48:13,480 --> 00:48:17,000
Speaker 1: talk about tetris real quick, because this is something that

849
00:48:17,280 --> 00:48:21,000
Speaker 1: has It's definitely something I have gotten into to a

850
00:48:21,160 --> 00:48:24,120
Speaker 1: point at various points in my life where I closed

851
00:48:24,160 --> 00:48:26,600
Speaker 1: my eyes at night and see tetris, like you know

852
00:48:26,719 --> 00:48:29,640
Speaker 1: that feeling you get when you ever like on skiing,

853
00:48:29,840 --> 00:48:32,360
Speaker 1: or like a bunch of mushrooms. Yeah, we're done a

854
00:48:32,400 --> 00:48:35,880
Speaker 1: bunch of mushrooms and they start seeing a boat mushrooms,

855
00:48:37,160 --> 00:48:41,279
Speaker 1: the things where you then once you like, you feel

856
00:48:41,320 --> 00:48:43,360
Speaker 1: like you're still doing the thing. When I've had that

857
00:48:43,440 --> 00:48:46,040
Speaker 1: with tetris, when I play like Guitar Hero or something

858
00:48:46,120 --> 00:48:47,920
Speaker 1: like that too, or I'm looking at an old piano

859
00:48:48,000 --> 00:48:50,719
Speaker 1: players here in the matrix. Yeah, but this one is

860
00:48:50,719 --> 00:48:53,319
Speaker 1: about flow states, and I don't we've talked about flow

861
00:48:53,400 --> 00:48:57,000
Speaker 1: states before about just sort of generally activities that take

862
00:48:57,040 --> 00:48:59,440
Speaker 1: a little bit of skill require a lot of concentration,

863
00:48:59,560 --> 00:49:01,960
Speaker 1: and when you engage in it, sort of time seems

864
00:49:02,000 --> 00:49:04,200
Speaker 1: to melt because you're so engrossed in the activity. And

865
00:49:04,280 --> 00:49:06,399
Speaker 1: like they call this a flow state, because your mind

866
00:49:06,520 --> 00:49:08,600
Speaker 1: is just so in the zone and working on this

867
00:49:08,760 --> 00:49:12,480
Speaker 1: task that your anxieties melts away, time melts away. And

868
00:49:12,600 --> 00:49:14,840
Speaker 1: so they did a study where they were trying to

869
00:49:14,880 --> 00:49:17,759
Speaker 1: see if Tetris could have some sort of effect or

870
00:49:17,800 --> 00:49:19,839
Speaker 1: if that flow state had an effect on people who

871
00:49:19,880 --> 00:49:22,160
Speaker 1: were in like sort of a state of anxiety. So

872
00:49:22,280 --> 00:49:23,719
Speaker 1: the way they sort of did this study was they

873
00:49:23,760 --> 00:49:27,200
Speaker 1: got like three college students and said that, uh, they

874
00:49:27,280 --> 00:49:30,080
Speaker 1: were going to get like assessed on their attractiveness. Uh.

875
00:49:30,160 --> 00:49:31,839
Speaker 1: So they'd go in and they're like, okay, we're gonna

876
00:49:31,840 --> 00:49:34,880
Speaker 1: assess your attractiveness. And then while they waited for their results,

877
00:49:35,080 --> 00:49:37,319
Speaker 1: they had them play Tetris because they wanted to put

878
00:49:37,360 --> 00:49:39,719
Speaker 1: these people in sort of an anxious state to see

879
00:49:39,760 --> 00:49:42,279
Speaker 1: how it felt. And then they found that as these

880
00:49:42,280 --> 00:49:45,480
Speaker 1: people who were waiting for uncertain or potentially life altering news,

881
00:49:46,040 --> 00:49:48,680
Speaker 1: that this flow inducing game could help them cope. Now,

882
00:49:48,719 --> 00:49:51,200
Speaker 1: it wasn't like that every single person was like, oh

883
00:49:51,280 --> 00:49:53,640
Speaker 1: my god, I'm I'm I feel amazing, but they did

884
00:49:53,760 --> 00:49:56,239
Speaker 1: find like that the group that was playing Tetris in

885
00:49:56,280 --> 00:49:58,640
Speaker 1: a way that put them in the flow state, they

886
00:49:58,680 --> 00:50:01,319
Speaker 1: scored like a measure a few points higher than everyone

887
00:50:01,400 --> 00:50:05,000
Speaker 1: else in terms of positive feelings. Afterwards, and after they

888
00:50:05,080 --> 00:50:07,440
Speaker 1: told them they were ugly or what did they what

889
00:50:07,680 --> 00:50:11,720
Speaker 1: was they could have just asked me through all that trouble,

890
00:50:11,800 --> 00:50:13,759
Speaker 1: and I would have said the average brain does not

891
00:50:13,960 --> 00:50:18,160
Speaker 1: like chaos that could be and then so I think

892
00:50:18,239 --> 00:50:20,719
Speaker 1: this is sort of part of a larger study about

893
00:50:20,840 --> 00:50:24,000
Speaker 1: flow states sort of contributing to wellness. And they realized

894
00:50:24,040 --> 00:50:26,799
Speaker 1: too that you know, like people who sort of regularly

895
00:50:27,719 --> 00:50:31,160
Speaker 1: engage in any kind of flow activity just sort of overtime,

896
00:50:31,239 --> 00:50:35,200
Speaker 1: had better stress management skills, had more feelings of positivity,

897
00:50:35,680 --> 00:50:37,239
Speaker 1: and they just felt that like tetris was like an

898
00:50:37,280 --> 00:50:39,440
Speaker 1: easy way to kind of achieve that. And there's a

899
00:50:39,480 --> 00:50:42,160
Speaker 1: book The me Hi Chick Sent Me High is the

900
00:50:42,239 --> 00:50:45,439
Speaker 1: name of the neurologist, Yes, who wrote the book Flow

901
00:50:45,560 --> 00:50:48,359
Speaker 1: and Finding Flow, which are really great books about flow

902
00:50:48,400 --> 00:50:50,640
Speaker 1: state and you realize how you can get it from anything,

903
00:50:50,719 --> 00:50:52,680
Speaker 1: like he was sort of going around talking to many

904
00:50:52,719 --> 00:50:54,759
Speaker 1: people who had flow states. So some people can get

905
00:50:54,800 --> 00:50:57,040
Speaker 1: it from just driving, like some people love going for

906
00:50:57,200 --> 00:51:00,000
Speaker 1: drives and it helps clear their minds. Another person would

907
00:51:00,080 --> 00:51:02,800
Speaker 1: someone who like at a canary, like just sort of

908
00:51:02,880 --> 00:51:04,839
Speaker 1: testing the tops of lids to see if things were

909
00:51:04,840 --> 00:51:06,720
Speaker 1: properly in there, and could just tell from the tone,

910
00:51:07,200 --> 00:51:09,120
Speaker 1: like what if you had to pull a can off

911
00:51:09,120 --> 00:51:11,200
Speaker 1: a line and that was like a flow state where

912
00:51:11,239 --> 00:51:13,719
Speaker 1: this person was in it and his sort of his

913
00:51:13,880 --> 00:51:16,239
Speaker 1: or overall sense of well being was super high because

914
00:51:16,280 --> 00:51:18,520
Speaker 1: every day he was just in this highly engaged state.

915
00:51:19,040 --> 00:51:21,160
Speaker 1: And they show that it's different for all people, and

916
00:51:21,200 --> 00:51:23,320
Speaker 1: the sort of point was for everyone to sort of

917
00:51:23,400 --> 00:51:25,320
Speaker 1: beging to identify what that could be for you, like

918
00:51:25,400 --> 00:51:27,959
Speaker 1: it could be rock climbing or anything, or playing video games,

919
00:51:28,040 --> 00:51:30,200
Speaker 1: but that it's important to sort of keep your head

920
00:51:30,239 --> 00:51:33,000
Speaker 1: in that space. I got a good one. Clean your

921
00:51:33,040 --> 00:51:37,480
Speaker 1: fucking house, yeah, yeah, do the dishes, clean the counters, yeah,

922
00:51:38,200 --> 00:51:42,640
Speaker 1: re uh, structure your closet space. You will find nirvana. Right.

923
00:51:43,160 --> 00:51:45,440
Speaker 1: There's nothing like that moment when you sit down though,

924
00:51:45,520 --> 00:51:47,120
Speaker 1: after you clean a bunch of ship and you're like,

925
00:51:47,280 --> 00:51:51,440
Speaker 1: holy ship. Yeah yeah. I feel like a sense of

926
00:51:51,520 --> 00:51:56,759
Speaker 1: accomplishment and removing clutter and chaos is ultimately what all

927
00:51:56,840 --> 00:52:00,200
Speaker 1: humans are searching for but too fucking lazy to to

928
00:52:00,360 --> 00:52:03,840
Speaker 1: actually incorporate into their daily lots. Do you kind of

929
00:52:03,920 --> 00:52:06,640
Speaker 1: yo yo with your tidiness or you sort of always

930
00:52:06,719 --> 00:52:09,080
Speaker 1: on the ball. I love a clean counter, yeah yeah,

931
00:52:09,160 --> 00:52:12,520
Speaker 1: and I don't you don't hate the studio. I don't know.

932
00:52:12,600 --> 00:52:16,279
Speaker 1: I'm okay around other people's non clean and it's not

933
00:52:16,360 --> 00:52:18,360
Speaker 1: really no CD thing because I don't feel it in

934
00:52:18,400 --> 00:52:20,839
Speaker 1: any other place in life. Like when I come in here,

935
00:52:21,080 --> 00:52:23,879
Speaker 1: I hadn't even noticed the clutter until you said something.

936
00:52:23,960 --> 00:52:28,640
Speaker 1: And I still don't really see serious clutter, you know

937
00:52:28,640 --> 00:52:30,920
Speaker 1: what I mean. So in my own house, I just

938
00:52:31,680 --> 00:52:36,160
Speaker 1: I really do find myself regularly, you know, like it's

939
00:52:36,200 --> 00:52:40,120
Speaker 1: a daily thing that I'm I like to remove chaos

940
00:52:40,239 --> 00:52:42,120
Speaker 1: there you go. Yeah, and not just in the house,

941
00:52:42,239 --> 00:52:45,719
Speaker 1: but just in life, whether it's cutting friends that are

942
00:52:46,160 --> 00:52:52,120
Speaker 1: quicksand you know, it's another form of removing chaos. Yeah.

943
00:52:53,440 --> 00:52:55,600
Speaker 1: And puzzles are another thing that I know is making

944
00:52:55,640 --> 00:52:59,560
Speaker 1: a big comeback. And coloring books. Coloring books so much

945
00:52:59,600 --> 00:53:01,840
Speaker 1: that just mentioned it, I think on SNL or something

946
00:53:02,120 --> 00:53:05,560
Speaker 1: inside the lines and just just and but I think,

947
00:53:06,840 --> 00:53:10,120
Speaker 1: I guess, yeah, Kevin, you were talking about order like

948
00:53:10,280 --> 00:53:13,040
Speaker 1: being and you know those are literally puzzles or like

949
00:53:13,120 --> 00:53:17,439
Speaker 1: putting a picture in order from from chaos into order.

950
00:53:18,000 --> 00:53:21,600
Speaker 1: And I agree. So like I've had these moments where

951
00:53:21,800 --> 00:53:25,960
Speaker 1: I've played even iPhone games that where I've been like, well,

952
00:53:26,080 --> 00:53:28,759
Speaker 1: I just like three hours just disappeared like that, like

953
00:53:28,880 --> 00:53:31,680
Speaker 1: I had no idea where it went, and believe it, Yeah,

954
00:53:32,000 --> 00:53:35,040
Speaker 1: where my kids Sarah's left, She's left the note that

955
00:53:35,280 --> 00:53:39,360
Speaker 1: she's gone to her years. Yeah, but I don't know.

956
00:53:39,520 --> 00:53:43,680
Speaker 1: I I do feel better after I've done that with

957
00:53:43,960 --> 00:53:47,040
Speaker 1: something productive, like cleaning your head, Like I feel bad

958
00:53:47,200 --> 00:53:49,400
Speaker 1: after I've spent a bunch of time just playing a

959
00:53:49,520 --> 00:53:53,200
Speaker 1: game that hasn't done anything other than like just made

960
00:53:53,280 --> 00:53:55,359
Speaker 1: time melt away. You might have felt better during those

961
00:53:55,400 --> 00:53:57,839
Speaker 1: three hours when your brain drifted away, but you're saying

962
00:53:57,880 --> 00:54:02,560
Speaker 1: when you finished, ye sense, yeah, guilt and yeah, well

963
00:54:02,560 --> 00:54:04,440
Speaker 1: then you got to find something, you know, either real,

964
00:54:04,600 --> 00:54:07,560
Speaker 1: you know, re contextualized relationship with that game, or find

965
00:54:07,640 --> 00:54:11,680
Speaker 1: a thing that doesn't feel like empty calories right clean. Yeah, No,

966
00:54:11,880 --> 00:54:13,600
Speaker 1: I think I think cleaning is a great one. Get

967
00:54:13,640 --> 00:54:16,680
Speaker 1: yourself a swift or wet chet. Yeah, you know, feel

968
00:54:16,680 --> 00:54:20,000
Speaker 1: a little bit like click that the all time great

969
00:54:20,000 --> 00:54:23,480
Speaker 1: Adam Sandler comedy where by the way, we'll we'll talk

970
00:54:23,560 --> 00:54:25,759
Speaker 1: tomorrow about the Adam Sandler we we didn't have time

971
00:54:25,760 --> 00:54:27,920
Speaker 1: to get to it today, but the Adam Sandler Netflix

972
00:54:27,960 --> 00:54:30,719
Speaker 1: special is wonderful. Something else. I was there for some

973
00:54:30,840 --> 00:54:34,040
Speaker 1: of the rep because we took Tic Friends Theater. The

974
00:54:34,320 --> 00:54:38,440
Speaker 1: Donasty Typewriter he recorded I think four nights there and

975
00:54:38,760 --> 00:54:41,319
Speaker 1: we were there one night and oh man, it was magical. Yeah,

976
00:54:41,360 --> 00:54:45,279
Speaker 1: it really It's like going back twenty years and just

977
00:54:46,160 --> 00:54:48,840
Speaker 1: I felt like I was in high school again. But

978
00:54:49,040 --> 00:54:50,759
Speaker 1: all right, we'll talk about a little bit more about

979
00:54:50,760 --> 00:54:53,000
Speaker 1: that tomorrow. But Kevin, while we're on the subject, You're funny.

980
00:54:53,360 --> 00:54:56,520
Speaker 1: While we're on the subject of funny, h thank you

981
00:54:56,640 --> 00:54:59,520
Speaker 1: first of all for being with this and what can

982
00:54:59,600 --> 00:55:02,880
Speaker 1: you tell our listeners. Usually we ask our guests for

983
00:55:02,920 --> 00:55:05,520
Speaker 1: a tweet that they've been enjoying, but I want to

984
00:55:05,600 --> 00:55:08,560
Speaker 1: ask you to talk a little bit about your new

985
00:55:08,840 --> 00:55:12,960
Speaker 1: comedy podcast on the How Stuff Works Network, Executive produced

986
00:55:13,000 --> 00:55:16,520
Speaker 1: by one Chuck Bryant, who I know our audience loves.

987
00:55:16,880 --> 00:55:20,319
Speaker 1: Tell us about it. What what it is? Well, if

988
00:55:20,360 --> 00:55:23,359
Speaker 1: you've ever been to a great improv show, I say

989
00:55:23,480 --> 00:55:28,040
Speaker 1: great because they're arguably very few things worse than bad

990
00:55:28,080 --> 00:55:32,560
Speaker 1: and bad improv show. So I've been around the improv

991
00:55:32,640 --> 00:55:34,840
Speaker 1: and sketch world a long time. I started at as

992
00:55:34,840 --> 00:55:38,800
Speaker 1: a stand up comedian, and so I've always been I

993
00:55:38,880 --> 00:55:43,400
Speaker 1: have found more alive in a comedy situation and laughing

994
00:55:43,719 --> 00:55:50,000
Speaker 1: involuntarily and uncontrollably when people were fast, uh and and

995
00:55:50,520 --> 00:55:54,320
Speaker 1: fearless while improvising. I mean I shared the stage in

996
00:55:54,400 --> 00:55:57,200
Speaker 1: my early days with Robin Williams and doing that very

997
00:55:57,280 --> 00:55:59,759
Speaker 1: thing he I and Rick Overton. Rick Overton I were

998
00:55:59,800 --> 00:56:05,560
Speaker 1: the two Brownies and Willow. Um so when we were

999
00:56:05,560 --> 00:56:08,520
Speaker 1: shooting that we were up in northern California, we would,

1000
00:56:08,600 --> 00:56:11,439
Speaker 1: you know, get on stage with Robin and improviser stuff.

1001
00:56:11,440 --> 00:56:14,440
Speaker 1: And I always found myself sort of drifting up stage

1002
00:56:14,480 --> 00:56:17,600
Speaker 1: while Rick and Robin soared through the universe, and I

1003
00:56:17,760 --> 00:56:20,640
Speaker 1: was more witnessed than participant because they were both just

1004
00:56:20,920 --> 00:56:24,359
Speaker 1: so fucking fast. So there's this place where near where

1005
00:56:24,360 --> 00:56:27,000
Speaker 1: I lived, the West Side Comedy Theater on the third

1006
00:56:27,040 --> 00:56:29,960
Speaker 1: three Promenade, and there's great improvince sketch shows there and

1007
00:56:30,040 --> 00:56:32,680
Speaker 1: some stand up shows as well, and um so I

1008
00:56:32,760 --> 00:56:36,320
Speaker 1: started sort of collecting in my mind four or five

1009
00:56:36,760 --> 00:56:40,279
Speaker 1: of these brilliant improvisers and thinking when what in terms

1010
00:56:40,320 --> 00:56:43,840
Speaker 1: I might do with them, And after experimenting in a

1011
00:56:43,960 --> 00:56:48,200
Speaker 1: couple of ways, I decided finally to be the puppet

1012
00:56:48,280 --> 00:56:51,600
Speaker 1: master of a podcast wherein the five of them and

1013
00:56:51,719 --> 00:56:55,279
Speaker 1: I would sit around this very table and I would

1014
00:56:55,360 --> 00:57:01,040
Speaker 1: have created twisted, weird scenarios, previously written them down, hand

1015
00:57:01,080 --> 00:57:04,040
Speaker 1: them out at the last second before we set out

1016
00:57:04,120 --> 00:57:09,960
Speaker 1: to bring these scenarios to life. And they're just uh

1017
00:57:10,719 --> 00:57:17,080
Speaker 1: thoroughbred phenomens at fast, fearless, improvising. And it's some I

1018
00:57:17,800 --> 00:57:21,520
Speaker 1: you know, challenge or beg depending on the situation. Just

1019
00:57:22,320 --> 00:57:25,280
Speaker 1: give it a listen, give give like twenty minutes of

1020
00:57:25,320 --> 00:57:28,280
Speaker 1: your life to one episode. And and I you know,

1021
00:57:28,600 --> 00:57:32,800
Speaker 1: I'm very, very opinionated about what's funny and what isn't,

1022
00:57:32,880 --> 00:57:36,760
Speaker 1: having spent my entire life since age ten performing in

1023
00:57:36,840 --> 00:57:41,040
Speaker 1: front of people to elicit laughter. I directed a documentary

1024
00:57:41,520 --> 00:57:45,440
Speaker 1: um that premiered Sundance a few years ago called Misery

1025
00:57:45,520 --> 00:57:50,000
Speaker 1: Loved Comedy, wherein I interviewed sixty annoyingly famous funny people

1026
00:57:50,320 --> 00:57:52,200
Speaker 1: with the thesis, do you have to be miserable to

1027
00:57:52,280 --> 00:57:55,520
Speaker 1: be funny? What do you find out you don't? You

1028
00:57:55,800 --> 00:57:59,840
Speaker 1: you have to have experienced any art painter or writer,

1029
00:58:00,440 --> 00:58:04,520
Speaker 1: a novelist, you know, a musician, a poet. You have

1030
00:58:04,600 --> 00:58:06,960
Speaker 1: to experience a misery. But then you have to figure

1031
00:58:06,960 --> 00:58:09,600
Speaker 1: out a way to articulate it so that it's so

1032
00:58:09,880 --> 00:58:14,280
Speaker 1: personal the audience is filled with empathy, or it's so universal.

1033
00:58:14,520 --> 00:58:17,000
Speaker 1: Even when Jerry Seinfeld talks about a sock missing from

1034
00:58:17,040 --> 00:58:20,280
Speaker 1: his dryer. That is a form of misery in that case,

1035
00:58:20,400 --> 00:58:24,520
Speaker 1: so universal literacy and goes whole ship too. So anyways,

1036
00:58:25,000 --> 00:58:29,360
Speaker 1: but really the bigger overview is I'm a really hard laugh.

1037
00:58:29,520 --> 00:58:33,520
Speaker 1: It's very very difficult. I've just seen too much. So

1038
00:58:33,720 --> 00:58:36,040
Speaker 1: when I'm I guess I'm just trying to lend a

1039
00:58:36,120 --> 00:58:42,680
Speaker 1: little more credibility to these five performers are insanely funny,

1040
00:58:42,840 --> 00:58:46,200
Speaker 1: fast and fearless. So it's called Alchemy this. It's only

1041
00:58:46,280 --> 00:58:49,520
Speaker 1: been around for I think our third or fourth episode

1042
00:58:50,080 --> 00:58:53,960
Speaker 1: just drop its every Thursday and fourth episode. We just

1043
00:58:54,440 --> 00:58:56,720
Speaker 1: broke the top two hundred, which first show that's only

1044
00:58:56,760 --> 00:58:59,720
Speaker 1: been around four weeks with just starting to get out

1045
00:58:59,800 --> 00:59:02,600
Speaker 1: and promoted, you know, initially it's just promoted on Twitter,

1046
00:59:02,800 --> 00:59:05,680
Speaker 1: Twitter and whatnot, and um just now getting around to

1047
00:59:06,040 --> 00:59:09,200
Speaker 1: uh to talk about it on other podcasts like yours

1048
00:59:09,240 --> 00:59:12,400
Speaker 1: and thanks for having me. But Alchemy this again. I

1049
00:59:12,480 --> 00:59:16,080
Speaker 1: set up these scenarios and these insanely talented people make

1050
00:59:16,160 --> 00:59:22,200
Speaker 1: funny shit up as in the moment and it's it is, uh, dark, weird,

1051
00:59:22,320 --> 00:59:26,160
Speaker 1: funny stuff totally. Alright. Well, so what we're gonna do

1052
00:59:26,240 --> 00:59:29,200
Speaker 1: is we're gonna drop a trailer for the show at

1053
00:59:29,240 --> 00:59:31,960
Speaker 1: the end of this episode, So guys stick around to

1054
00:59:32,400 --> 00:59:34,400
Speaker 1: listen to the trailer for Alchemy this. I think one

1055
00:59:34,440 --> 00:59:39,160
Speaker 1: of them is the the Where's Jesus? And it also

1056
00:59:39,240 --> 00:59:43,040
Speaker 1: involves the third Thanksgiving. I thought it would be fun

1057
00:59:43,880 --> 00:59:47,720
Speaker 1: second just to go back to the second or third

1058
00:59:48,120 --> 00:59:53,800
Speaker 1: where you know the Native Americans or Indigenous people were,

1059
00:59:54,440 --> 00:59:57,080
Speaker 1: you know, they're just starting to Oh man, these people

1060
00:59:57,080 --> 01:00:00,800
Speaker 1: aren't going right. They really think we want to yeah? Uh?

1061
01:00:00,960 --> 01:00:03,320
Speaker 1: And where can people find you other than Alchemy this?

1062
01:00:03,640 --> 01:00:05,800
Speaker 1: Do you have a Twitter hand? Oh? So? Uh? You

1063
01:00:05,880 --> 01:00:09,440
Speaker 1: know at Kevin Pollock on Twitter? Uh? Super lame name

1064
01:00:09,520 --> 01:00:13,320
Speaker 1: for Instagram. Kevin Pollock won to three and second season

1065
01:00:13,360 --> 01:00:18,000
Speaker 1: and Marvelous Mrs masal drops in December five. We just

1066
01:00:18,160 --> 01:00:20,560
Speaker 1: as I said at the top, one a bunch of Emmy's,

1067
01:00:20,600 --> 01:00:25,320
Speaker 1: including best Show first time at the big contest show

1068
01:00:25,480 --> 01:00:31,000
Speaker 1: called the Emmy's and yeah one Golden Gloves and Peabody

1069
01:00:31,040 --> 01:00:36,439
Speaker 1: Awards and all that. It's the creators and show owners

1070
01:00:36,480 --> 01:00:39,240
Speaker 1: and writers from Gilmore Girls and they just write brilliant

1071
01:00:39,560 --> 01:00:41,960
Speaker 1: dialogue and characters and there's no way to fund this

1072
01:00:42,080 --> 01:00:45,880
Speaker 1: one up. And people we used the word that you

1073
01:00:45,960 --> 01:00:50,040
Speaker 1: guys are named for um and if you can tap

1074
01:00:50,160 --> 01:00:54,320
Speaker 1: into the zeitgeist of what people are watching these days

1075
01:00:54,760 --> 01:00:58,680
Speaker 1: with I think six hundred scripted shows now between all

1076
01:00:58,720 --> 01:01:02,960
Speaker 1: the various portals and dreaming. I know, yes, the fact

1077
01:01:03,000 --> 01:01:05,080
Speaker 1: that you can get anyone to talk about a show

1078
01:01:05,160 --> 01:01:08,120
Speaker 1: you're on is a mirror. You know. I'm doing another

1079
01:01:08,160 --> 01:01:10,320
Speaker 1: episode of my chat show of this other podcast I've

1080
01:01:10,320 --> 01:01:13,320
Speaker 1: been doing night March will be ten years old, and

1081
01:01:14,680 --> 01:01:19,640
Speaker 1: I have Benley, this great Australian musician who has a

1082
01:01:19,720 --> 01:01:23,680
Speaker 1: couple of songs, and Lena Dunham's new show Camping. And

1083
01:01:23,760 --> 01:01:25,680
Speaker 1: I was thinking as I was prepping for that, because

1084
01:01:25,680 --> 01:01:27,520
Speaker 1: I'm on my way to do that after this. Um,

1085
01:01:28,680 --> 01:01:31,200
Speaker 1: how many people are talking about Lena Dunham's new show,

1086
01:01:31,560 --> 01:01:34,600
Speaker 1: you know what I mean? That's how loud the noises

1087
01:01:34,680 --> 01:01:36,960
Speaker 1: Now that every new show is trying to break through,

1088
01:01:38,360 --> 01:01:40,720
Speaker 1: there's no way to catch up. But people are super

1089
01:01:40,800 --> 01:01:42,600
Speaker 1: excited about a show. They can't wait for it to

1090
01:01:42,640 --> 01:01:47,640
Speaker 1: come back. Another show on Amazon. I'm insane fan of it. Drops.

1091
01:01:47,960 --> 01:01:53,920
Speaker 1: I think this weekend is called Patriot. Oh yeah, we've heard.

1092
01:01:56,720 --> 01:01:59,280
Speaker 1: It's like Wes Anderson and the Cohen Brothers got together

1093
01:01:59,320 --> 01:02:03,880
Speaker 1: and decided to do a dark, weird espie it's hilarious.

1094
01:02:03,960 --> 01:02:06,560
Speaker 1: But yeah, I think a c a like just hit

1095
01:02:06,680 --> 01:02:10,200
Speaker 1: man who like loves folk seeking. Well, he's super depressed

1096
01:02:10,640 --> 01:02:13,880
Speaker 1: it starts writing songs about his missions and they have

1097
01:02:14,000 --> 01:02:16,880
Speaker 1: to break it and stop him, and he right and

1098
01:02:17,000 --> 01:02:19,000
Speaker 1: like it has to Anyway, It's amazing because you're also

1099
01:02:19,040 --> 01:02:21,400
Speaker 1: seeing him having to navigate, like lying about having an

1100
01:02:21,480 --> 01:02:24,240
Speaker 1: expertise in a field where that he clearly knows nothing about,

1101
01:02:24,800 --> 01:02:27,320
Speaker 1: just struggling with I had Courtwood Smith on the Chat show,

1102
01:02:27,400 --> 01:02:30,600
Speaker 1: the guy that plays basically the villain from the corporation

1103
01:02:30,720 --> 01:02:34,840
Speaker 1: that makes the piping and talking about it. That was

1104
01:02:34,880 --> 01:02:37,320
Speaker 1: a good episode of the Chat show recently. Anyway, those

1105
01:02:37,360 --> 01:02:39,640
Speaker 1: are the things I guess I would play. All right, Well,

1106
01:02:39,720 --> 01:02:41,800
Speaker 1: thank you for being with us, Miles. Where can people

1107
01:02:41,840 --> 01:02:43,960
Speaker 1: find you? Follow you? You can find me on Twitter

1108
01:02:44,160 --> 01:02:48,560
Speaker 1: and Instagram at Miles of Gray, g r a Y

1109
01:02:48,920 --> 01:02:51,760
Speaker 1: And a tweet that I like comes from at Rain

1110
01:02:51,840 --> 01:02:55,520
Speaker 1: Guardians Lizzie McGuire. Hate account is the explain name uh

1111
01:02:55,600 --> 01:02:57,360
Speaker 1: and it's just basically a screen grab of like a

1112
01:02:57,440 --> 01:03:00,280
Speaker 1: YouTube thumbnail for like it has a one in in

1113
01:03:00,440 --> 01:03:04,760
Speaker 1: a nun's habit uh and it says thirteen hundreds a

1114
01:03:04,920 --> 01:03:07,480
Speaker 1: D A s m R. None takes care of you

1115
01:03:07,600 --> 01:03:10,760
Speaker 1: in bed, and then in parentheses, you have the plague.

1116
01:03:13,520 --> 01:03:22,320
Speaker 1: That's so great, you have the plague, but it makes

1117
01:03:22,360 --> 01:03:28,439
Speaker 1: your spine tingled. Yeah, uh tweet I enjoyed. Jensen Carp

1118
01:03:28,640 --> 01:03:32,200
Speaker 1: retweeted Tommy Lauren, who tweeted, let's be clear, I'm not

1119
01:03:32,360 --> 01:03:34,880
Speaker 1: with Taylor and I'm not with Kan yet. I'm not

1120
01:03:35,040 --> 01:03:38,640
Speaker 1: for celebrities that pop off of ship they don't understand period,

1121
01:03:38,840 --> 01:03:40,840
Speaker 1: and Jensen Carp tweeted, I have bad news for you

1122
01:03:40,920 --> 01:03:44,800
Speaker 1: regarding the presidents, which it's just so I mean, he

1123
01:03:44,840 --> 01:03:47,160
Speaker 1: didn't even need to tweet that. It's just crazy that

1124
01:03:47,280 --> 01:03:49,560
Speaker 1: she tweeted that, and then a partner on Charlotte tweeted,

1125
01:03:49,560 --> 01:03:52,760
Speaker 1: I wish you could mark obsessing negative thoughts as spam,

1126
01:03:53,000 --> 01:03:56,840
Speaker 1: which I liked and identified with. You can call me

1127
01:03:56,880 --> 01:03:59,120
Speaker 1: on Twitter at Jack Underscore Brian. You can follow us

1128
01:03:59,200 --> 01:04:01,960
Speaker 1: on Twitter at daily Zeitgeis. Were at the Daily Zeitgeis

1129
01:04:02,200 --> 01:04:05,080
Speaker 1: on Instagram. We have Facebook fanpage and a website, Daily's

1130
01:04:05,080 --> 01:04:07,320
Speaker 1: i guess dot Com, where we post our episodes and

1131
01:04:07,400 --> 01:04:10,000
Speaker 1: our foot note. We link off to the information that

1132
01:04:10,040 --> 01:04:12,680
Speaker 1: we talked about today's episode, as well as the song

1133
01:04:12,800 --> 01:04:15,440
Speaker 1: we ride out on my Old Blue Song. This is

1134
01:04:15,480 --> 01:04:19,200
Speaker 1: a track from Sudan Archives, which is actually an l

1135
01:04:19,240 --> 01:04:23,720
Speaker 1: A based us like a violinist vocalist on Stone's Throw

1136
01:04:24,200 --> 01:04:27,120
Speaker 1: and her music just really interesting, has all kinds of

1137
01:04:27,280 --> 01:04:31,600
Speaker 1: like African influence and just from her experience as a

1138
01:04:31,680 --> 01:04:35,280
Speaker 1: violin is vocalist. This track is called non for Sale

1139
01:04:35,440 --> 01:04:39,080
Speaker 1: n O nt for Sale and again it's just great vocals,

1140
01:04:39,240 --> 01:04:43,680
Speaker 1: great style. Uh and yeah, just enjoy this from Student Archives.

1141
01:04:44,120 --> 01:04:46,400
Speaker 1: All right, we're gonna write out on that and then

1142
01:04:46,440 --> 01:04:53,880
Speaker 1: we'll have a special preview of the alchemy this trailer. Uh.

1143
01:04:54,160 --> 01:04:56,520
Speaker 1: We will be back tomorrow because it is a daily podcast.

1144
01:04:56,600 --> 01:05:05,560
Speaker 1: We'll talk to you guys then about you only call

1145
01:05:05,680 --> 01:05:12,840
Speaker 1: me when your knee something. I need to be free.

1146
01:05:15,120 --> 01:05:19,720
Speaker 1: Time to spread out means I don't like lee. Just

1147
01:05:21,560 --> 01:05:25,600
Speaker 1: all that time since gonna get back with you, don't

1148
01:05:25,640 --> 01:05:30,000
Speaker 1: get time for snitches. You're pulling me down. About you

1149
01:05:30,240 --> 01:05:35,000
Speaker 1: as my sister. My strings propagate through space and time

1150
01:05:35,280 --> 01:05:37,440
Speaker 1: here and there at the same time. And the men

1151
01:05:37,560 --> 01:05:40,480
Speaker 1: just in base crime, you ain't gotta be man like

1152
01:05:40,720 --> 01:05:43,600
Speaker 1: deep go Hio when you climb to stay out of

1153
01:05:43,680 --> 01:05:50,640
Speaker 1: my bed, stay out of my flame. Welcome back, to alchemy.

1154
01:05:50,720 --> 01:05:54,160
Speaker 1: This on your host, Kevin poll Yes that Kevin Pollock,

1155
01:05:54,200 --> 01:05:56,919
Speaker 1: what's that? Yes? I know, I said, I was ready

1156
01:05:56,960 --> 01:05:59,520
Speaker 1: to buy the car. I'm just not sweet listeners. Over

1157
01:05:59,560 --> 01:06:02,000
Speaker 1: the years, I've been crazy lucky to see my fair

1158
01:06:02,040 --> 01:06:05,240
Speaker 1: share of true alchemy. By definition, alchemy is quote when

1159
01:06:05,280 --> 01:06:09,200
Speaker 1: a person creates something through a seemingly magical process and

1160
01:06:09,360 --> 01:06:12,400
Speaker 1: you lovely dingleberries. Like I said, I've been witnessed to

1161
01:06:12,440 --> 01:06:15,080
Speaker 1: the stuff on several occasions. An example, you asked, okay

1162
01:06:15,920 --> 01:06:20,280
Speaker 1: when separated, only fifty of Sonny and Share had undeniable

1163
01:06:20,360 --> 01:06:23,400
Speaker 1: tell speaking of which, not too long ago, while having

1164
01:06:23,480 --> 01:06:26,720
Speaker 1: my conscious scraped and rinsed, the idea hit me. What

1165
01:06:26,840 --> 01:06:29,440
Speaker 1: if I brought together the right creative people and asked

1166
01:06:29,480 --> 01:06:31,400
Speaker 1: them to make shut up based on my own twisted,

1167
01:06:31,440 --> 01:06:35,960
Speaker 1: demented ideas, then offered a podcast of this seemingly magical

1168
01:06:36,080 --> 01:06:38,960
Speaker 1: process and I could call it alchemy? Why can't you

1169
01:06:39,040 --> 01:06:41,160
Speaker 1: be more like your brother? Well, after a bit of

1170
01:06:41,400 --> 01:06:44,080
Speaker 1: title tinkering, I'm so very proud to welcome you, dear friends,

1171
01:06:44,120 --> 01:06:48,040
Speaker 1: to another episode of alchemy. This take a photo. I'm

1172
01:06:48,040 --> 01:06:49,960
Speaker 1: gonna get a photo of this. Hey, get away from

1173
01:06:49,960 --> 01:06:53,680
Speaker 1: get back away, Please to see the tape. Photos? No photos? Okay,

1174
01:06:54,800 --> 01:06:56,160
Speaker 1: what do you what do you see? What do you like?

1175
01:06:56,280 --> 01:06:57,920
Speaker 1: What do you don't like about this? I don't like

1176
01:06:58,000 --> 01:07:01,000
Speaker 1: anything about it? All right, Well i'll tell you what

1177
01:07:01,080 --> 01:07:06,120
Speaker 1: I noticed right away. Cigarettes still lit? Yeah, that's strange, Peterson,

1178
01:07:06,160 --> 01:07:10,439
Speaker 1: you've got you've got a holmesy and I for detail. Well,

1179
01:07:10,520 --> 01:07:15,280
Speaker 1: I studied under the grade Sherlock Holmes. No you that

1180
01:07:15,440 --> 01:07:18,600
Speaker 1: was my cigarette? Can I have that back? I misunderstood.

1181
01:07:18,760 --> 01:07:22,240
Speaker 1: I thought it was in Oh no, I left it there.

1182
01:07:22,440 --> 01:07:26,000
Speaker 1: Oh yeah, like a holder. He thought the dead guy's

1183
01:07:26,040 --> 01:07:29,160
Speaker 1: two fingers would help hold your I was taken aback

1184
01:07:29,360 --> 01:07:31,840
Speaker 1: by the whole thing. I wasn't thinking clearly. Tell us

1185
01:07:31,840 --> 01:07:37,200
Speaker 1: your name again, your waitress, Well, I'm also the floor manager.

1186
01:07:37,320 --> 01:07:39,320
Speaker 1: But yes, Turla, how do you how do you spell

1187
01:07:39,360 --> 01:07:44,600
Speaker 1: it tu r l A H the traditional? Yes? Correct?

1188
01:07:44,680 --> 01:07:50,280
Speaker 1: I'm very shaken. And do you remember this particular patron

1189
01:07:50,720 --> 01:07:53,640
Speaker 1: from inside at dinner earlier? You know I do remember

1190
01:07:53,720 --> 01:07:57,240
Speaker 1: that because I as a floor manager, I'm very adapted.

1191
01:07:57,360 --> 01:08:01,120
Speaker 1: I remembering people's faces, remembering I interact is he wanted

1192
01:08:01,160 --> 01:08:03,240
Speaker 1: his eggs over easy? I said, that's not gonna be

1193
01:08:03,280 --> 01:08:06,000
Speaker 1: a problem. Unfortunately, was the problem. He's having eggs late

1194
01:08:06,040 --> 01:08:09,480
Speaker 1: at night. That's correct. We start breakfast all days. A

1195
01:08:09,560 --> 01:08:13,080
Speaker 1: great men. You um probabteen is good for you. You know,

1196
01:08:14,080 --> 01:08:16,160
Speaker 1: uh you said it would ended up being a problem

1197
01:08:16,200 --> 01:08:19,840
Speaker 1: the eggs. Well, yes, not on my problem. But Frank

1198
01:08:20,200 --> 01:08:23,600
Speaker 1: in the kitchen he doesn't fucking understand things. So I

1199
01:08:23,640 --> 01:08:26,400
Speaker 1: said over easy, and he fuked it up. Frankie, want

1200
01:08:26,400 --> 01:08:29,760
Speaker 1: to answer to that? You know it's oh my god,

1201
01:08:30,680 --> 01:08:33,639
Speaker 1: I speaking for myself. Okay, No, you can speak for yourself.

1202
01:08:33,680 --> 01:08:35,240
Speaker 1: I just want to warn them they have made the

1203
01:08:35,280 --> 01:08:38,040
Speaker 1: biggest mistake of their lives. Do not get your notepads

1204
01:08:38,080 --> 01:08:40,000
Speaker 1: out for this attection. You're gonna want to take show

1205
01:08:40,080 --> 01:08:42,960
Speaker 1: his nose down. All right. First off, if you guys

1206
01:08:43,080 --> 01:08:45,040
Speaker 1: have a hungry late night, come over to my house.

1207
01:08:45,400 --> 01:08:51,080
Speaker 1: When to your house? Have alight? Alright, alright, alright? Over

1208
01:08:51,200 --> 01:08:55,240
Speaker 1: statement kind of kind of move like move around, you

1209
01:08:55,320 --> 01:08:57,400
Speaker 1: know what I mean? Between situations, right, A little bit

1210
01:08:57,560 --> 01:08:59,280
Speaker 1: between a lot of situations, you know what I mean.

1211
01:08:59,320 --> 01:09:01,479
Speaker 1: I don't feel we're getting straight answer from me, Frank

1212
01:09:01,640 --> 01:09:03,479
Speaker 1: Come on, man, let me just tell you. What are

1213
01:09:03,520 --> 01:09:05,560
Speaker 1: you the cook here? Yeah? Okay? And so when the

1214
01:09:06,040 --> 01:09:09,439
Speaker 1: eggs ordered, what was the problem one is very interested

1215
01:09:09,520 --> 01:09:11,680
Speaker 1: to hear this. Thank you, Detective. I've been asking him

1216
01:09:11,720 --> 01:09:13,840
Speaker 1: that as well. My question is always like, oval, what

1217
01:09:14,160 --> 01:09:16,000
Speaker 1: you know what I'm saying? It's like over easy. He's like,

1218
01:09:16,160 --> 01:09:18,559
Speaker 1: all right, but over what you know? What I mean?

1219
01:09:18,920 --> 01:09:20,760
Speaker 1: You're easy? Is the answer to Peterson. Can I talk

1220
01:09:20,760 --> 01:09:26,120
Speaker 1: to you by the dumpster? For sure? I like Frank

1221
01:09:26,200 --> 01:09:30,000
Speaker 1: for this? Do you like Frank for this? So far? Okay?

1222
01:09:30,160 --> 01:09:33,160
Speaker 1: I feel so little early. I feel like, look, I

1223
01:09:33,240 --> 01:09:36,040
Speaker 1: know it's early, but I get hunches. You know me

1224
01:09:36,120 --> 01:09:39,880
Speaker 1: and my hunches. You you learned under me, My friend,

1225
01:09:39,920 --> 01:09:42,599
Speaker 1: you're trained done to me. There's a couple of other

1226
01:09:42,880 --> 01:09:44,439
Speaker 1: fellas out there that I'd like to ask, a couple

1227
01:09:44,479 --> 01:09:46,880
Speaker 1: of how many times of my hunches probably write down

1228
01:09:46,920 --> 01:09:49,160
Speaker 1: it's Frank? Or how many times have we at least

1229
01:09:49,240 --> 01:09:51,640
Speaker 1: frame someone based on a hunch that I have. I

1230
01:09:52,240 --> 01:09:57,839
Speaker 1: want to say that sold excuse me, excuse me, officers, Yes, detective,

1231
01:09:59,360 --> 01:10:01,160
Speaker 1: we're both detect My name is Bobby. This is my

1232
01:10:01,200 --> 01:10:06,519
Speaker 1: twin brother, Robbie. Um, we saw some things, but we're

1233
01:10:06,560 --> 01:10:09,479
Speaker 1: not supposed to not here. We can't be here. Bobby

1234
01:10:09,479 --> 01:10:11,960
Speaker 1: and Robbie, though both derivative of the name Roberts. So

1235
01:10:12,000 --> 01:10:15,559
Speaker 1: we're both named Robert. Well I was, I was. They

1236
01:10:15,560 --> 01:10:18,600
Speaker 1: weren't expecting twins, so they only had one name preparative

1237
01:10:19,280 --> 01:10:22,800
Speaker 1: but things, but we can't um really tell you because

1238
01:10:22,840 --> 01:10:25,600
Speaker 1: we're not supposed to be outso late. No, this is

1239
01:10:25,720 --> 01:10:28,400
Speaker 1: way pastor or curfew. Yeah. I got the time of

1240
01:10:28,479 --> 01:10:31,640
Speaker 1: death at four am. So my first question would be

1241
01:10:31,720 --> 01:10:35,400
Speaker 1: what were you two kids doing? Eating? Eating eating, only eating,

1242
01:10:35,520 --> 01:10:41,200
Speaker 1: just eating food in a round in the diner, outside

1243
01:10:41,240 --> 01:10:46,160
Speaker 1: the diner. But it was which one is Bobby? I'm Robbie. Okay,

1244
01:10:46,320 --> 01:10:51,759
Speaker 1: I'm Bobby. Sure problems excuse me? Are they giving you problems?

1245
01:10:51,840 --> 01:10:55,519
Speaker 1: These kids? Turler? Do you remember these two? Oh? Yes,

1246
01:10:55,600 --> 01:10:59,880
Speaker 1: I remember them? Hello Robert. Uh yeah, they've been out

1247
01:11:00,040 --> 01:11:03,760
Speaker 1: side scrounging. They're always scrounding. By that, of course you

1248
01:11:03,800 --> 01:11:08,960
Speaker 1: mean scrounging. You know there's grounding grounges. We got a

1249
01:11:08,960 --> 01:11:13,560
Speaker 1: good home life? Oh well, I'm very very sad to

1250
01:11:13,640 --> 01:11:15,599
Speaker 1: hear that none of us have a good home life.

1251
01:11:15,680 --> 01:11:17,560
Speaker 1: Can we all agree? Peterson? Can I talk to you

1252
01:11:17,560 --> 01:11:22,280
Speaker 1: about excuse excuse us? Absolutely? I like Robbie for this.

1253
01:11:22,640 --> 01:11:27,960
Speaker 1: What do you think I'm writing it down? Okay, write

1254
01:11:28,000 --> 01:11:30,519
Speaker 1: it down? I'm not sure which one is Robbie to

1255
01:11:30,720 --> 01:11:32,880
Speaker 1: be like Robbie for this. It's definitely not Bobby. We

1256
01:11:32,920 --> 01:11:33,599
Speaker 1: can rule him out.