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Speaker 1: Hello the Internet will welcome to season seventy three, episode fourth,

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Speaker 1: The Daily night Geist, the podcast where we take a

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Speaker 1: deep dive into America's share consciousness. It's Thursday, March fourteen,

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Speaker 1: two thousand nine. Team and names Jack O'Brien AK Jackie

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Speaker 1: is a friend. O'Brien has been a good friend of mine,

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Speaker 1: but lately something's changed. It ain't hard to define. Jack

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Speaker 1: has got himself to take on the Daily sight Geist. Yeah,

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Speaker 1: and he's launching them with his Miles All right, Oh

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Speaker 1: that's all, of course, No, no, of course that's where

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Speaker 1: we cut it off. That's where Steve Millerson cut it off.

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Speaker 1: Podcast like that, and I'm thrilled to be joined as

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Speaker 1: always by my co host, Mr Miles Greg. I'm sorry,

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Speaker 1: just Jackson. I was not real, never meant to come

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Speaker 1: to court and lie and Jelly is where I don't

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Speaker 1: want to die. And that was miss Jackson from the

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Speaker 1: perspective Paul Man of four because he got sent his

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Speaker 1: totally seven and a half years with all when all

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Speaker 1: said and done, which Trump could pardon him for, but

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Speaker 1: the Stay in New York decided to get real petty

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Speaker 1: and immediately hit him with a sixteen count indictment on

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Speaker 1: stage charges. So did they have a bad day? Did

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Speaker 1: they have to wait to hit him with that? Like,

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Speaker 1: was there something about the timing or they just like

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Speaker 1: wanted to do it. I don't know, you think you're

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Speaker 1: I'm sure some legal expert might tell me that there

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Speaker 1: could be some statute against that. But they were just like,

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Speaker 1: we want to kick you at your lower Yeah, yeah, exactly. Well,

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Speaker 1: we're thrilled to be joined by the senior film and

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Speaker 1: culture writer from up Rocks, founder of film Drunk and

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Speaker 1: the Frockcast. Uh. He also read g Q and The

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Speaker 1: Ringer Please love them. Vince Mancini. Hey, guys, I don't

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Speaker 1: have a I don't have a cool song to say. Hey,

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Speaker 1: that's alright. Got a nickname, I mean my nickname games fancy.

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Speaker 1: That's good. Now. I got Linguini, I got I got

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Speaker 1: dance machiney. Oh, I wish game Genie. But oh d

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Speaker 1: n A Oh that was a good one. Why DNA?

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Speaker 1: Because I have hair that's curly on the front and

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Speaker 1: straight in the back. And one of the guys I

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Speaker 1: played basketball with said is because I had messed up

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Speaker 1: DNA and they just keep you, Oh, that's DNA over

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Speaker 1: the appreciate it. I mean, if it burn is good enough,

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Speaker 1: like enough, one stick with that. Oh that's amazing straight

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Speaker 1: in the back. Wow. Do you ever figure out why

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Speaker 1: that is? Why? Just toxic gene cocktail? All right, man,

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

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Speaker 1: in a moment. First, we're going to tell our listeners

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Speaker 1: a few of the things we're talking about today. We're

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Speaker 1: talking about where American cities came in on the list

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Speaker 1: of the best places is around the world to live. Hint,

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Speaker 1: they did not crack the top twenty. There were five

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Speaker 1: I believe five Canadian cities before the first US city.

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Speaker 1: We're also gonna talk about how Budweiser just does not

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Speaker 1: understand their brand at all. We talk about Biden being

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Speaker 1: close to announcing. We're gonna talk about Facebook and how

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Speaker 1: it might tie into the election, And we're gonna talk

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Speaker 1: about the president's right before he decided to run for office,

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Speaker 1: what he was up to. He was trying to buy

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Speaker 1: the Buffalo Bills via a fake uprising in the city

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Speaker 1: of Buffalo. So we're gonna talk about that. It's an

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Speaker 1: amazing story. And also uh conservative victimhood and how how

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Speaker 1: conservatives they are dealing with the fact that they are

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Speaker 1: the most persecuted people in these United States history the world. Actually, yeah,

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Speaker 1: that's true. But first, Vince, what is something from your

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

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Speaker 1: I did more searches, Like, I don't think there's anything

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Speaker 1: revealing about me. The last thing I searched on Twitter

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Speaker 1: was pelosi impeachment because I was trying to figure out

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Speaker 1: you know, when you get like the crumbs of a

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Speaker 1: news story and I got to figure out what everybody's

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Speaker 1: making jokes about. So I was kind of doing that.

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Speaker 1: I was trying to trace the steps internet. Would you

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Speaker 1: find out who she is? A lady that's in Congress?

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Speaker 1: I think she used to be my congress Um? Okay?

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Speaker 1: Was it? Was it? The story of her saying she

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Speaker 1: doesn't want to impeach, that he's not worth it. Yeah.

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Speaker 1: She does this thing that all really inspiring political leaders

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Speaker 1: do is what is that They tell you what's not

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Speaker 1: feasible before they ask for anything. It's like they start

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Speaker 1: off they're like, hey, I think you guys, she did

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Speaker 1: not expect too much from me, right, Yes, of course, yeah,

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Speaker 1: we know who Pelosi is. What's appeachment? Appeachment is like

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Speaker 1: it's a type of gum that combines both the peach

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Speaker 1: flavors and well, I got a lot of learning to do. Uh,

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Speaker 1: what is something you think is underrated? Underrated? I think

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Speaker 1: audio books are underrated to audio books and podcasts. You know.

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Speaker 1: I like to I like to be doing chores while

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Speaker 1: I'm experiencing my content. Yeah, yeah, you're getting done. What

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Speaker 1: do you use for your audio books? Um? I use

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Speaker 1: Audible And I know there's a library program that I

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Speaker 1: that supposedly you can get all the audio books from

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Speaker 1: the library for free, but I haven't gone down to

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Speaker 1: the library. Yeah. The last time I was at a

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Speaker 1: public library, they just had like a big audio book

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Speaker 1: c D, like like library you had no but you

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Speaker 1: had to like rip the CD in order to listen

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Speaker 1: to it on it And he's sort of listening too.

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Speaker 1: It wasn't that long ago. Yeah. I used to check

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Speaker 1: out the CDs and listen Tom listen to of them

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Speaker 1: on my six CD changer in my car that I

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Speaker 1: had time in the trunk, which was oh man, yeah,

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Speaker 1: and put it on shuffle. So it's like a real

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Speaker 1: naked lunch type of thing where you just chapters are

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Speaker 1: going to be. I don't know, Uh what kind of

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Speaker 1: books you listen to? Um? I listen. I mean as

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Speaker 1: far as audio books, I find just a lot of

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Speaker 1: like non like facty nonfiction I find. Yeah that's my yeah, yeah,

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Speaker 1: my thing too. What's the best factory nonfiction book you've

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Speaker 1: read in the past year or listen? Um, it's reading

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Speaker 1: with your ears, I got My mom wouldn't agree. I

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Speaker 1: remember one time I tried to get an audio book

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Speaker 1: of like to Kill a mocking Bird or something when

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Speaker 1: I was in school, and she's like, what what is

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Speaker 1: this for? And I was like, so I can I

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Speaker 1: know that I can read the books like you're not reading. Yeah,

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Speaker 1: that's when you're still trying to train yourself. Yeah. No,

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Speaker 1: And I was very early on trying to cut them corners.

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Speaker 1: If I was better at reading while mowing the lawn,

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Speaker 1: I would definitely do that. But it's it's hard. Okay.

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Speaker 1: But back to you, Yes, what is the best non

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Speaker 1: factory books or facty book? Um? I will okay. So

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Speaker 1: new one I read this year was Boomtown. I think

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Speaker 1: it's sort of new. It was like the one about

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Speaker 1: Oklahoma City. Uh, and it's a lot more interesting than

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Speaker 1: you would think than you know, just a book about

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Speaker 1: a city. But it was really good and I think

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Speaker 1: it's gonna come up later in one of the stories

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Speaker 1: you're talking about today. And then uh, an older one

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Speaker 1: I read or listen to, you feel like, can you

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Speaker 1: say red read? I mean, semantically speaking, I mean, by definition,

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Speaker 1: what does read to read mean? It means to take

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Speaker 1: information from a source into your brain. Okay, so it

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Speaker 1: doesn't have to be visually. Yeah, man, I'm reading your

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Speaker 1: face right now, and it's that you don't know. That's

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Speaker 1: that's drag queen slaying. That's a different kind of reading.

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Speaker 1: If you look by a webster, look at and comprehend

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Speaker 1: the meaning of written or printed matter by mentally interpreting

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Speaker 1: the characters are simples of which it is composed. World

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Speaker 1: has changed a lot. I mean, I still call it read.

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Speaker 1: I don't know why I'm getting I'm debating it because

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Speaker 1: I think it's still the same ship. So I read

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Speaker 1: cover to cover every single word, the pages in your fingers.

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Speaker 1: There's a new version of the right Stuff and it

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Speaker 1: has Dennis Quaid reading it, and that's just a good,

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Speaker 1: strong audio book. I'm very picky about my audio book readers.

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Speaker 1: I don't like it when they get an actor and

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Speaker 1: the actor thinks that he's doing a monologue where he

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Speaker 1: has to like pretend that he's coming up with the

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Speaker 1: words on the fly, and it's like, no, dude, this

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Speaker 1: is a book. Just read it to me a script,

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Speaker 1: Like do the character's voices. But your narration should not

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Speaker 1: be like a thing that you have to emote during.

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Speaker 1: Don't make it about yourself. Just you are supposed to

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Speaker 1: disappear as soon as possible, and it should just be

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Speaker 1: us in the book. Uh, what is something you think

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Speaker 1: is overrated? On the flip side of that point, I

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Speaker 1: think TV and movies are overrated. Okay, Yeah, this is

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Speaker 1: the part of the year. I mean, I'm a film critic, uh,

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Speaker 1: and I feel like this is the time of the

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Speaker 1: year every year where I wonder, like if I'm ever

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Speaker 1: going to see a good movie ever again? You know,

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Speaker 1: it's like always the bad movies in January, February and

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Speaker 1: right after awards seasons over there, Like all right, well

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Speaker 1: now you get the crap trough gonna shift into your eyes.

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Speaker 1: Get ready? Is there anything looking forward to? Um? I

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Speaker 1: am looking forward to that Triple Frontier that just hiting

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Speaker 1: Netflix today. I don't know if I'm smart for looking

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Speaker 1: forward to that Ben Affleck one more job, one more

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Speaker 1: Oh it came out. Oh, I gotta get on that.

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Speaker 1: It looks to me like this video game Tom Clancy's

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Speaker 1: Ghost recon Wild Lens as a movie because it's like

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Speaker 1: it's like special Forces dudes stealing drug money, just doing wildly,

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Speaker 1: wildly illegal ship in Central America. Yeah, you know history.

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Speaker 1: I like Ben Affleck because he doesn't look good in

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Speaker 1: costumes anymore. Like, no matter what he puts on, he

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Speaker 1: just looks like a dad at a costume part. And

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Speaker 1: I feel that I I recognize that a little puffy.

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

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Speaker 1: You know to be false? Um? Well, you know, I

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Speaker 1: was watching that new version of Queer Eye for the

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Speaker 1: Straight Guy, and he's always telling people the hair guy,

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Speaker 1: he's always telling people to put the gel on or

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Speaker 1: put product in back to front, back front, Yeah, and

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Speaker 1: I feel like that's just wrong, Like you could you

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Speaker 1: put in front to back because you know people you

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Speaker 1: want to see people to see the front of you.

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Speaker 1: That's like, what do you mean back to I don't

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Speaker 1: have hair product in the back? And then you move

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Speaker 1: in the forwards and you concentrate in the back and

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Speaker 1: then just begin shifting it to the front. Yeah. I

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Speaker 1: think so that's that's what I got from the show.

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Speaker 1: But I've tried it a few times. It doesn't work

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Speaker 1: for me. I think maybe the idea is that they

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Speaker 1: don't want people to go all the product in the

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Speaker 1: like front, the front quarter of their head, and then

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Speaker 1: it's just yeah, okay, I get really about even distribution

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Speaker 1: of product that's concentrated the glamour hairs kind of like

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Speaker 1: the hair version of when you're writing an article and

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Speaker 1: you just rewrite the first paragraph over over seventeen times,

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Speaker 1: and then the rest of it is just like a

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Speaker 1: brutal rough draft. Yeah yeah, alright, man, well, I think

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Speaker 1: we know you. Now, uh, let's get into the best

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Speaker 1: places in this world to live. I guess it's a

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Speaker 1: HR company mercer that ranks all the different cities around

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Speaker 1: the world in terms of livability, and they you know,

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Speaker 1: people usually pay attention to the top twenty, and you

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Speaker 1: will not find a US city in that top twenty.

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Speaker 1: What was the top US city? The top US city

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Speaker 1: with San Francisco and came in at a cool thirty four.

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Speaker 1: It's a great city to live in if you have

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Speaker 1: thirty four minions. Yeah, exactly. It's a it's a weird

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Speaker 1: list in Boston, I guess. If it's US cities, then Boston, Honolulu,

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Speaker 1: New York, Seattle, Chicago, d C, Philly, in Pittsburgh. Yeah,

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Speaker 1: I do think they are assuming a certain amount of

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Speaker 1: disposable income on the behalf of the people who they're

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Speaker 1: talking to, because they are like placing professionals in these cities,

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Speaker 1: like that's what they do, and so that's kind of

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Speaker 1: what who they're speaking to, who they're thinking about. I mean,

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Speaker 1: but the things they are ranking based on our recreation, housing, uh,

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Speaker 1: you know, medical and health consideration, school and education, public services,

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Speaker 1: and transport, so they are all things that we look for. Well,

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Speaker 1: I mean, you know, Geneva is you know, you know,

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Speaker 1: famously known for being very affordable place to live, as

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Speaker 1: Zurich and Basil. Like there's three Swiss cities. I mean,

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Speaker 1: I would love to go shout out to Vancouver at

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Speaker 1: number three. Vancouver is number three. Yeah, you see, ze Gang,

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Speaker 1: It's pretty wild because natural environment is also one of

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Speaker 1: the things that they take into consideration, and there are

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Speaker 1: five Canadian cities on the list. Before you get to

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Speaker 1: a single US city. Got Montreal, Toronto, Vancouver, Ottawa, and Calgary,

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Speaker 1: which are all frigid nightmares with a bullet. Yeah, Ottawa, baby,

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Speaker 1: where they skate to work. Yeah, you know Ottawa, because

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Speaker 1: you can't say it without a Canadian accent, like it

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Speaker 1: sort of forces you into from ottawaway. I really, U Look,

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Speaker 1: I'm glad Sydney's on there next to Amsterdam. Uh, Wellington,

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Speaker 1: New Zealand sounds great too. Yeah, yeah, what was the

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Speaker 1: top two? The top two are Vienna and Zurich, other

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Speaker 1: top US cities, and you know, the US cities start

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Speaker 1: coming pretty fast and furious. After thirty four. You got

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Speaker 1: Boston at thirty six, Honolulu at thirty seven. You don't

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Speaker 1: say New York is at forty four. New York is

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Speaker 1: the only city that has moved up in the rankings.

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Speaker 1: All other US cities have gone down. And they credit

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Speaker 1: that with just the rise of I think they said populism.

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Speaker 1: I was going to say the machines, right, the rise

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Speaker 1: of the I think they said machines. I'm just glad

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Speaker 1: La is not on there. You know, people don't need

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Speaker 1: to come out here. The traffics fucked l A is

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Speaker 1: on there. There were sixty six. Right, we're tied with

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Speaker 1: Houston and me. I like Houston, I like Popods, Yeah,

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Speaker 1: I like Poncha Train Sauce, right behind Atlanta. Yeah. So

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Speaker 1: I don't know. It does seem like a suspiciously white

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Speaker 1: group of cities that have scored high on the on

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Speaker 1: this ranking, but not a lot of color. And Zurich

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Speaker 1: kind of imagine, yeah, I don't think. So let's talk

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Speaker 1: about a corporation that does not understand what we see

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Speaker 1: in them. Uh, and that is the Budweiser Corporation. They

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Speaker 1: have released a product. They've released a line on dut

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Speaker 1: Uh that Okay, they they've just announced them, so you

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Speaker 1: probably these probably will never hit your shelves. But they

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Speaker 1: have announced with with confidence that they will be releasing

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Speaker 1: a line of meat products. And one of those meat

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Speaker 1: products is Budweiser pulled pork. It's everything. No, it's a

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Speaker 1: whole line of Budweiser. Man, but Budweiser pulled pork is

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Speaker 1: so gross to me? Does but Dweiser? Is there Budweiser

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Speaker 1: in the pulled pork? Like? Do they use it as

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Speaker 1: a braise at all? I think that's just I think

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Speaker 1: that must be what it is. They say, it's using

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Speaker 1: like brew Master sauce with whatever the funk that is.

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Speaker 1: I mean to be honest, like beer does help in

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Speaker 1: the cooking of these kinds of things. I think it's

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Speaker 1: funny that they have, Like their whole ad campaign now

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Speaker 1: is to position themselves as like anti foodie and like

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Speaker 1: anti anti connoisseur basically, and they're like, well, now, but

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Speaker 1: check out our line of artists and meats. What are

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Speaker 1: you talking about? This is for the many, not the few.

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Speaker 1: They're trying to capture millennials. Like in the press release,

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Speaker 1: it says Budweiser is an iconic brand that is recognized

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Speaker 1: throughout the US with impressive advertising and marketing, and it's

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Speaker 1: there teaming up with this group. Coleman Natural Foods, who

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Speaker 1: was actually making the meat anyway, says the Coleman and

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Speaker 1: Budweiser partnership will help create awareness for the millennial consumers

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Speaker 1: to stop and shop in the processed meat case. Now

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Speaker 1: this smacks again of old motherfucker's thinking, like how do

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Speaker 1: we get these millennials because if they know, if they knew,

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Speaker 1: this generation, yeah, you know, we love Budweiser and processed meats. Like,

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Speaker 1: come the funk on. I already know we're killing the

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Speaker 1: beer industry, and they say very health conscious people, you

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Speaker 1: know that. I think that the sort of snarky perception

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Speaker 1: is like all millennials like, oh, they like they only

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Speaker 1: eat like grass and things that don't cast shadows. But yeah,

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Speaker 1: I don't know. It's just it's just funny to me,

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Speaker 1: and it's just smacks of like some pitch guy really

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Speaker 1: being like, this is the next way for you guys, realiser.

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Speaker 1: This reminds me of that that leaked document from the

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Speaker 1: Pepsi logo design. It's just somebody selling complete rubes who

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Speaker 1: are running a company like something that is just bullshit,

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Speaker 1: but they get away with it by being like, no, man,

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Speaker 1: it's like what the kids are into, right Yeah, Being

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Speaker 1: like the the ambassador to youth culture is always like

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Speaker 1: a lucrative position because you can just convince like business

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Speaker 1: people of anything, right, well, which is what's funny about

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Speaker 1: this last one. The one of the founders of this

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Speaker 1: family ranch, the Coleman's the way this line is in

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Speaker 1: the in the press release, it just smacks of like

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Speaker 1: the thing the advertise the marketing people told him, because

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Speaker 1: he says this is a quote from him. Introducing classic

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Speaker 1: Coleman natural Budweiser products to a new, younger audience will

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Speaker 1: bring generations of consumers from the beer aisle to the

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Speaker 1: prepared meat case. Are great tasting products and recipes will

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Speaker 1: continue to bring them back time and time again from

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Speaker 1: the funk they will. I'm sorry Coleman, but you know,

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Speaker 1: does your grocery have a prepared meat case? Like I

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Speaker 1: just think of it as that weird part of the

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Speaker 1: meat case, where like the Johnsonville Bronzar it's like Oscar

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Speaker 1: Meyer and ship. Right, Well, I don't know about the

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Speaker 1: at the grocery stores I go to. The hot dogs

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Speaker 1: are in a different area than like the Lloyd's pre

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Speaker 1: made you know, sloppy Joe ship or whatever stuff is. Anyway,

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Speaker 1: the one thing I will give them those they're pretty

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Speaker 1: actually this the foods themselves. They're trying to be pretty

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Speaker 1: health conscious because saying it's slow roasted on actual Coleman pork,

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Speaker 1: which contains no antibiotics ever, no added hormones, crate free

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Speaker 1: pork raised by Coleman farmers, fed all vegetarian diet, no

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Speaker 1: animal byproducts. So I feel like they're they knew like

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Speaker 1: that part like I would be like, Okay, I see

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Speaker 1: what's going on, and then I'm like, wait, Budweiser spare ribs. Yeah,

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Speaker 1: they well, Budweiser is doing the whole no corn syrup things.

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Speaker 1: So now they're they're trying to position themselves as a

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Speaker 1: as a health food also right exactly, yes, the healthiest.

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Speaker 1: You know, if they were smart, I would I would

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Speaker 1: be drinking bud Light pulled pork. Yeah, that could be grosser.

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Speaker 1: I feel like they are very confused, where like the

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Speaker 1: whereas cores Light has been selling the idea that their

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Speaker 1: beer is colder right like thirty five years at least,

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Speaker 1: and that's I mean, if you just find that and

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Speaker 1: you stick with it, this just smacks of them grasping

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Speaker 1: at straws. You know. It really is an amazing campaign,

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Speaker 1: the cores Light one, because it's basically, look, you don't

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Speaker 1: want to taste air beer. You want to just experience

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Speaker 1: it like a shard of ice going down your throats

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Speaker 1: esphagus right where you don't realize you've drank it because

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Speaker 1: you're just too distracted by it's temperature. Our beer evokes

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Speaker 1: the image of five foot tall gen xers playing football

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Speaker 1: in the mountains. Remember those commercials like just gigantic humans

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Speaker 1: sucking around the rockies. I'm like, I guess this is

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Speaker 1: a wave. I on even one, it would just start

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Speaker 1: snowing and everything got awesome, right because someone would like open,

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Speaker 1: crackling open, and then suddenly like everybody's tops coming up.

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Speaker 1: It's weird because it was like the snow would come down,

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Speaker 1: but then people would take clothes off somehow. But yeah, yeah,

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Speaker 1: because that's how we get down, and core's light down.

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Speaker 1: That's what I mean. Alright, we're gonna take a quick break.

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

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Speaker 1: be Joseph Biden. He is so close, you guys. He's

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Speaker 1: he hasn't been shy that he's been going through this process,

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Speaker 1: but it seems now we're getting closer and closer. The

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Speaker 1: buzzes getting louder and louder. Biden will soon be entering

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Speaker 1: the contest. I mean, he's got a lot writing for him,

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Speaker 1: you know. Yes, he's pulling well against Trump. Yes he

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Speaker 1: has good name recognition. Yes he's the only one with

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Speaker 1: functional foreign policy experience. Yes he can gain the trust

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Speaker 1: of maybe some of these blue collar Democrats that voted

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Speaker 1: for Trump. Yes, he has said some wild racist, super

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Speaker 1: predator type shit. Yes, he looked like a disgusting besides

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Speaker 1: in his when he questioned Anita Hill. Yes he's too

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Speaker 1: much of a centrist to energize this progressive base. Yes,

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Speaker 1: he opposed school integration in the seventies. Yes, he supported

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Speaker 1: the Iraq War. I look, I don't know, I don't

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Speaker 1: know what. I don't know what's gonna happen. Look, the

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Speaker 1: nation is a clamor for a used car salesman with

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Speaker 1: a bad fake tan, right, so clearly you fight fire

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Speaker 1: with fire. Yeah, skill orange on orange. Yeah, it's a

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Speaker 1: It's just one of those things where it's funny, like

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Speaker 1: the Yes, he's is obviously pulling the highest out of anyone,

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Speaker 1: even though he hasn't actually entered the race. But it's like,

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Speaker 1: I feel like the establishment Democrats just really want him

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Speaker 1: because they're like, look, we can kind of maybe get

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Speaker 1: a hold of this thing, and maybe if we force

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Speaker 1: him through, progressives aren't gonna not vote for him if

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Speaker 1: he's the nominee, you know what I mean, Because like

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Speaker 1: they know, like it'll be easier to convince progressives that well,

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Speaker 1: if it's a binary choice between Trump and Biden, what

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Speaker 1: are you gonna do? But little does he know that

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Speaker 1: is not the like or the d n C realized

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Speaker 1: that is not where the momentum is going in the base,

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Speaker 1: like back to the middle. So yeah, I mean, at

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Speaker 1: the same time, it could be a thing where all

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Speaker 1: of the progressive candidates split all of the energized bass

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Speaker 1: and then Biden just gets all those standard run of

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Speaker 1: the mill centrist Democrats. I think people people are like, well, Bernie,

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Speaker 1: he's too old and white, you know who he needs

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Speaker 1: and my older get him back. Yeah. Well, you know,

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Speaker 1: I think the other thing would be interesting is they're

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Speaker 1: just you know, like Hillary had a discuss her super

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Speaker 1: predator comments. Joe Biden was a lover of mass incarceration,

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Speaker 1: so he's got some splaining to do. But I just

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Speaker 1: feel like, you know, because this country already has a

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Speaker 1: you know, very little enthusiasm for reconciling our history of racism.

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Speaker 1: I don't know that Biden will actually be meant to,

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Speaker 1: like held to meaningfully account for his past views. But

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Speaker 1: you know, especially also the establishment apologist would be like,

402
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Speaker 1: but he was the black guy's best friend for eight years,

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Speaker 1: So I mean, I mean, in a perfect world, he

404
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Speaker 1: would be the Republican candidate. He would be like the

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Speaker 1: one where it's like if he wins, like we live

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Speaker 1: with that. Oh yeah, I love that, but yeah, we're

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Speaker 1: in a different time now. Yeah, so we'll see. I

408
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Speaker 1: think there was a point where people were like, well,

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Speaker 1: he's probably got the best chance to beat Trump, and

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Speaker 1: so that's why I would tolerate him. But I don't

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Speaker 1: even know that that's true, or that he even has

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Speaker 1: a legit claim to It's just thrown at this point.

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Speaker 1: It's just that whole thing, Like up top I was saying,

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Speaker 1: it's just pulling great by though, but you know, we

415
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Speaker 1: saw we're pulling out us last time around. And then

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Speaker 1: also like the idea that he really does appeal to

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Speaker 1: these like rush belt democrats that the d n C

418
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Speaker 1: totally forgot about in and overlooked. But even then, I

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Speaker 1: feel like there are plenty I'm sure there are plenty

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Speaker 1: of candidates who are really great speakers, have a lot

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Speaker 1: of energy, some charisma that could probably bring those people in.

422
00:23:28,520 --> 00:23:32,879
Speaker 1: But yeah, yeah, and electability is such a you know,

423
00:23:33,040 --> 00:23:35,639
Speaker 1: it's a vague term that the media can use to

424
00:23:36,440 --> 00:23:39,840
Speaker 1: just be racist and sexist, basically, to just be like, well,

425
00:23:39,840 --> 00:23:42,679
Speaker 1: he's the most electable because yeah, and everyone's so just

426
00:23:42,800 --> 00:23:46,120
Speaker 1: nostalgic for the Obama era that anyone that reminds them

427
00:23:46,119 --> 00:23:49,159
Speaker 1: of that, Right, It's like a beautiful nostalgic dream that

428
00:23:49,200 --> 00:23:51,320
Speaker 1: they get to have for a while, right, alha omar,

429
00:23:51,520 --> 00:23:54,360
Speaker 1: she's not nostalgic for that, She's not. She came for him.

430
00:23:54,359 --> 00:23:57,479
Speaker 1: And and but you can tell there's all these like,

431
00:23:57,600 --> 00:24:00,280
Speaker 1: you know, establishments, sycophants in his here, like yeah, man,

432
00:24:00,280 --> 00:24:03,240
Speaker 1: the people fucking they're they're dying for you. It's like, yo,

433
00:24:03,400 --> 00:24:05,800
Speaker 1: no they're not. They're actually not. I mean there are

434
00:24:05,840 --> 00:24:08,080
Speaker 1: people that are, but there's a lot. I mean when

435
00:24:08,080 --> 00:24:12,560
Speaker 1: you look at like all the young voters consultants with lanyards, right,

436
00:24:12,760 --> 00:24:15,000
Speaker 1: and I think when you see the crop of young

437
00:24:15,080 --> 00:24:17,280
Speaker 1: voters that are going to be up for grabs in

438
00:24:18,400 --> 00:24:20,160
Speaker 1: a lot of them aren't going to be as nostalgic

439
00:24:20,200 --> 00:24:22,440
Speaker 1: for Joe Biden. But you know, I just want let's

440
00:24:22,440 --> 00:24:24,920
Speaker 1: just let's just have these debates. Let's get messy. Let's

441
00:24:24,920 --> 00:24:27,719
Speaker 1: see somebody drag out Joe Biden's old comments, see how

442
00:24:27,720 --> 00:24:32,959
Speaker 1: he handles that. We'll see what happens. Yeah, just depends

443
00:24:32,960 --> 00:24:35,520
Speaker 1: if you see the Obama era as like a simpler

444
00:24:35,560 --> 00:24:40,520
Speaker 1: bygone time or like the time that handed Trump a

445
00:24:40,600 --> 00:24:45,719
Speaker 1: drone program, right right exactly, Let's talk about the election,

446
00:24:45,840 --> 00:24:50,680
Speaker 1: because Elizabeth Warren uh last week announced that she wants

447
00:24:50,720 --> 00:24:54,440
Speaker 1: to regulate Facebook, Google, and Amazon basically out of existence.

448
00:24:54,440 --> 00:24:57,520
Speaker 1: She wants to break up the monopolies. I think the

449
00:24:57,560 --> 00:25:01,320
Speaker 1: only complaint there would be people being but Amazon brings

450
00:25:01,359 --> 00:25:04,080
Speaker 1: me shit, and other than that, I think everybody be

451
00:25:04,320 --> 00:25:06,560
Speaker 1: good with that. Break it up, you know, give everybody

452
00:25:06,600 --> 00:25:09,560
Speaker 1: like their reasonable Amazon or something you haven't running. I

453
00:25:09,600 --> 00:25:11,639
Speaker 1: don't know how that works. I don't, but they have

454
00:25:11,680 --> 00:25:15,919
Speaker 1: too much power, yes, Amazon, Bell, and they also get

455
00:25:15,960 --> 00:25:19,520
Speaker 1: those products to your doorstep in record time via just

456
00:25:20,040 --> 00:25:23,960
Speaker 1: treating people like ship behind the scenes, in warehouses, various

457
00:25:23,960 --> 00:25:28,119
Speaker 1: places that you can't see. But anyways, the fact that

458
00:25:28,160 --> 00:25:32,120
Speaker 1: she's angling to, you know, do this against the guy

459
00:25:32,320 --> 00:25:38,280
Speaker 1: who Facebook supposedly accidentally helped elect sets us up for

460
00:25:38,359 --> 00:25:42,359
Speaker 1: Facebook to like drag their feet in fixing some of

461
00:25:42,400 --> 00:25:46,760
Speaker 1: the problems that helped him win In t and The

462
00:25:46,800 --> 00:25:50,680
Speaker 1: New York Times pointed out the Trump administration, despite him

463
00:25:50,720 --> 00:25:55,040
Speaker 1: being real anti tech in front of the media, is

464
00:25:55,080 --> 00:25:59,200
Speaker 1: actually extremely favorable to tech monopolies like Google and Facebook.

465
00:25:59,720 --> 00:26:04,240
Speaker 1: They they have like a guy in charge of regulating

466
00:26:04,280 --> 00:26:07,639
Speaker 1: them who is basically the most His name is Mcon

467
00:26:07,800 --> 00:26:12,280
Speaker 1: del Rahim. He is the most friendly to those companies

468
00:26:12,400 --> 00:26:15,439
Speaker 1: that any that he could have possibly put in charge

469
00:26:15,480 --> 00:26:19,320
Speaker 1: of the antitrust division of the Department of Justice. Uh

470
00:26:19,359 --> 00:26:23,800
Speaker 1: so they're good. Yeah, they basically put my Space Tom

471
00:26:23,800 --> 00:26:28,800
Speaker 1: in it in that position. Um and yeah. I mean

472
00:26:29,280 --> 00:26:32,320
Speaker 1: the scary thing about Facebook is, you know, even though

473
00:26:32,400 --> 00:26:36,280
Speaker 1: we are now onto them, it's still impossible to track

474
00:26:36,400 --> 00:26:39,480
Speaker 1: for the most part. Like I've heard it described as uh,

475
00:26:39,560 --> 00:26:43,040
Speaker 1: propaganda megaphone in your ear that I can't here, And

476
00:26:43,359 --> 00:26:45,439
Speaker 1: you know, I think that's pretty accurate. That's why I

477
00:26:45,440 --> 00:26:49,399
Speaker 1: think it was easy for everyone to be blindsided by

478
00:26:49,400 --> 00:26:52,800
Speaker 1: the results of the election is we weren't aware of

479
00:26:53,040 --> 00:26:57,280
Speaker 1: what was happening in millions and millions of people's news feeds,

480
00:26:58,560 --> 00:27:01,720
Speaker 1: you know, or just on social media in general. I

481
00:27:01,720 --> 00:27:04,000
Speaker 1: think we need to have a campaign to like, for

482
00:27:04,000 --> 00:27:08,159
Speaker 1: people to commandeer their parents Facebook feeds and just like

483
00:27:08,720 --> 00:27:12,679
Speaker 1: you start to start liking stuff that's not weird Fox

484
00:27:12,720 --> 00:27:16,200
Speaker 1: News Dad memes. Because I feel like that is because

485
00:27:16,600 --> 00:27:19,880
Speaker 1: younger people younger than like forty five, I don't think

486
00:27:20,000 --> 00:27:23,520
Speaker 1: are out there getting their news from their Facebook speed.

487
00:27:23,840 --> 00:27:26,119
Speaker 1: But then like my people on my parents age, you know,

488
00:27:26,240 --> 00:27:28,239
Speaker 1: they'll just spout a meme like it was came from

489
00:27:28,240 --> 00:27:30,600
Speaker 1: the New York Times. Yeah, see, we need we need

490
00:27:30,640 --> 00:27:34,680
Speaker 1: a new form of parental controls, yes, where we parents,

491
00:27:34,760 --> 00:27:38,480
Speaker 1: like we're gonna change the meaning of the parental advisory exactly. Wait,

492
00:27:38,520 --> 00:27:41,240
Speaker 1: so she's just trying. She's just saying like break them up. Yeah,

493
00:27:41,359 --> 00:27:44,200
Speaker 1: and she I mean she no, she's not just saying

494
00:27:44,240 --> 00:27:47,919
Speaker 1: break them up. She has a very detailed, uh you

495
00:27:47,960 --> 00:27:51,119
Speaker 1: know plan as. Like a lot of the stuff she

496
00:27:51,160 --> 00:27:54,439
Speaker 1: comes out with is like really thoroughly thought out. But

497
00:27:54,560 --> 00:27:57,400
Speaker 1: she has a lot of just you know, ex saying

498
00:27:57,400 --> 00:28:01,119
Speaker 1: he's Native American, right, but like when it comes to

499
00:28:01,280 --> 00:28:07,560
Speaker 1: actual things of substance that aren't just silly, really what

500
00:28:09,160 --> 00:28:12,639
Speaker 1: she's a Okay, my bad, bad. I mean I know

501
00:28:12,680 --> 00:28:15,040
Speaker 1: what you're saying. I just want to call that out.

502
00:28:15,400 --> 00:28:18,840
Speaker 1: That's I think that's substantives that you would go around

503
00:28:18,880 --> 00:28:21,000
Speaker 1: for years telling people like, oh, yeah i'm Native American.

504
00:28:21,080 --> 00:28:24,800
Speaker 1: Yeah that's will help me get into school for your

505
00:28:24,800 --> 00:28:28,680
Speaker 1: diversity numbers. But she atoned, I guess. But yeah, she's

506
00:28:28,720 --> 00:28:30,640
Speaker 1: one of the people totally behind her, and it will

507
00:28:30,680 --> 00:28:34,640
Speaker 1: never she wins the nomination. She's one of the she's

508
00:28:34,680 --> 00:28:37,560
Speaker 1: one of the candidates. I really really like. Yeah, I

509
00:28:37,600 --> 00:28:39,520
Speaker 1: just hope a lot of people can tell that her

510
00:28:39,560 --> 00:28:41,880
Speaker 1: ideas are actually very good. Yeah, I mean, I don't

511
00:28:41,920 --> 00:28:45,280
Speaker 1: know what's more racist, just being like her saying that

512
00:28:45,320 --> 00:28:48,200
Speaker 1: she's Native American or everybody immediately being like, oh, look

513
00:28:48,240 --> 00:28:51,000
Speaker 1: at her, she's so white, right, Well, how do you

514
00:28:51,040 --> 00:28:54,040
Speaker 1: know she's not Native American? Like, I don't know, Yeah,

515
00:28:54,320 --> 00:28:57,560
Speaker 1: I'm not. I'm not doing her genealogy, you know. That

516
00:28:57,640 --> 00:29:02,920
Speaker 1: whole story though, seems like it's all like playground schoolyard ship.

517
00:29:03,080 --> 00:29:06,080
Speaker 1: It's just like he called her a name and then

518
00:29:06,160 --> 00:29:09,640
Speaker 1: she responded and everyone's like, oh shit, and like she

519
00:29:09,800 --> 00:29:13,960
Speaker 1: ended up looking stupid. But her plan calls for legislation

520
00:29:14,040 --> 00:29:17,840
Speaker 1: that would feature a new business category for companies with

521
00:29:17,880 --> 00:29:21,800
Speaker 1: more than twenty five billion dollars of global revenue. Yeah,

522
00:29:21,840 --> 00:29:25,040
Speaker 1: that's they should maybe be in a different, different category

523
00:29:25,440 --> 00:29:29,560
Speaker 1: UM And they would basically be called platform utilities and

524
00:29:29,720 --> 00:29:33,200
Speaker 1: they would be regulated almost like utility companies UM, which

525
00:29:33,240 --> 00:29:35,840
Speaker 1: is an interesting idea. They would have to meet a

526
00:29:35,920 --> 00:29:40,600
Speaker 1: standard of fair, reasonable and nondiscriminatory dealings with users. They

527
00:29:40,600 --> 00:29:44,080
Speaker 1: would also not be allowed to share data with other companies,

528
00:29:44,800 --> 00:29:51,040
Speaker 1: which both ideas Yeah, and Facebook loves this, right. Yeah.

529
00:29:51,080 --> 00:29:54,960
Speaker 1: Her campaign or people who support her put up eds

530
00:29:55,000 --> 00:29:59,160
Speaker 1: saying break up Facebook, Uh courtesy of Elizabeth Warren or whatever,

531
00:29:59,680 --> 00:30:03,840
Speaker 1: and Facebook took those ads down. Well, I mean, are

532
00:30:03,880 --> 00:30:07,560
Speaker 1: we surprised? Then they immediately came out and we're like,

533
00:30:07,840 --> 00:30:10,080
Speaker 1: we're sorry, we don't know, we're actually gonna Yeah, I

534
00:30:10,080 --> 00:30:14,600
Speaker 1: think they're they're stand Facebook rhythm of uh we doing

535
00:30:14,680 --> 00:30:19,400
Speaker 1: something just completely reprehensible and then apologizing for right, Like

536
00:30:19,400 --> 00:30:22,320
Speaker 1: if you post about like a hate crime, the Facebook

537
00:30:22,360 --> 00:30:24,000
Speaker 1: will be like, oh I don't we don't see, we

538
00:30:24,040 --> 00:30:26,040
Speaker 1: didn't see that, Like we don't have enough people to

539
00:30:26,080 --> 00:30:28,040
Speaker 1: regulate that. But then if you put up an ad

540
00:30:28,080 --> 00:30:31,640
Speaker 1: that says stop Facebook, where we're gonna delete that right away?

541
00:30:31,640 --> 00:30:35,320
Speaker 1: What person is gone? But then once political they reported

542
00:30:35,360 --> 00:30:37,800
Speaker 1: that they had to backtrack and they were like, oh, well,

543
00:30:37,960 --> 00:30:39,560
Speaker 1: we actually took it down because it had a logo

544
00:30:39,640 --> 00:30:42,240
Speaker 1: in it. Oh well, we're gonna put them back up

545
00:30:42,320 --> 00:30:44,880
Speaker 1: because we're all about real bust debate was the word

546
00:30:44,920 --> 00:30:49,479
Speaker 1: they used. So yeah, it's just definitely worth keeping an

547
00:30:49,520 --> 00:30:52,560
Speaker 1: eye on if they get so messy, and they're like,

548
00:30:52,640 --> 00:30:54,240
Speaker 1: all right, you know what, we're gonna have to help

549
00:30:54,280 --> 00:30:57,120
Speaker 1: Trump out again. We can't let this happen. She's gonna

550
00:30:57,160 --> 00:31:01,080
Speaker 1: break up our money. Bro. Yeah, I mean they definitely

551
00:31:01,160 --> 00:31:04,240
Speaker 1: helped Trump out in like the standard narrative that came

552
00:31:04,280 --> 00:31:07,560
Speaker 1: out was, oh, well, we offered like people. We we

553
00:31:07,640 --> 00:31:11,280
Speaker 1: offered internal Facebook consultants to the Trump campaign and the

554
00:31:11,280 --> 00:31:14,840
Speaker 1: Clinton campaign, and Clinton just said no. And that may

555
00:31:15,160 --> 00:31:18,120
Speaker 1: well be the case, but it's still Facebook was a

556
00:31:18,240 --> 00:31:22,680
Speaker 1: huge part of Trump you know, shocking world. The only

557
00:31:22,680 --> 00:31:26,760
Speaker 1: time that campaign ever said no to more consultants. That's right,

558
00:31:27,760 --> 00:31:31,240
Speaker 1: All right, Let's talk about the president's attempt to buy

559
00:31:31,320 --> 00:31:35,960
Speaker 1: the Buffalo Bills back before he decided to run for president.

560
00:31:36,640 --> 00:31:40,040
Speaker 1: This is just a wild story. Yeah, who would have

561
00:31:40,040 --> 00:31:45,040
Speaker 1: thought that Trump always likes to use shady stuff, no

562
00:31:45,120 --> 00:31:48,520
Speaker 1: matter what it is, whether it's real estate or covering

563
00:31:48,600 --> 00:31:51,680
Speaker 1: up affairs, or even something that seems as straightforward as

564
00:31:51,720 --> 00:31:54,560
Speaker 1: simply just buying a NFL team. I mean, this has

565
00:31:54,560 --> 00:31:56,960
Speaker 1: been his white whale since like the eighties, right, right,

566
00:31:56,960 --> 00:31:59,840
Speaker 1: he was like he had the he had a USFL team,

567
00:32:00,280 --> 00:32:02,440
Speaker 1: and he was trying to leverage that he got the

568
00:32:02,480 --> 00:32:05,600
Speaker 1: USFL team because they wouldn't let him buy an NFL team,

569
00:32:05,880 --> 00:32:09,320
Speaker 1: and then he tried to leverage the USFL team into

570
00:32:09,360 --> 00:32:13,560
Speaker 1: an NFL team and ended up killing the entire league. Right, Yeah,

571
00:32:13,640 --> 00:32:16,960
Speaker 1: he wanted to like a b a thing where they

572
00:32:17,000 --> 00:32:18,800
Speaker 1: merged with the league. So he was like, yeah, we're

573
00:32:18,800 --> 00:32:21,560
Speaker 1: gonna take the USFL and put it at the same

574
00:32:21,720 --> 00:32:25,720
Speaker 1: time as the NFL, and they're going to be so sorry. Yeah,

575
00:32:25,800 --> 00:32:29,000
Speaker 1: they're gonna be so creditive. And then just nobody ever

576
00:32:29,080 --> 00:32:33,160
Speaker 1: watched the USFL ever again, and yeah, he's a he's

577
00:32:33,160 --> 00:32:36,080
Speaker 1: a brilliant business person. Yeah. Well, I think the reason

578
00:32:36,160 --> 00:32:38,320
Speaker 1: this story came back up is because when Michael Cohen

579
00:32:38,400 --> 00:32:40,920
Speaker 1: was testifying, he talked about, oh, you know, Trump also

580
00:32:41,120 --> 00:32:43,480
Speaker 1: like inflated his assets by four billions, so you get

581
00:32:43,480 --> 00:32:45,840
Speaker 1: a loan from Deutsche Bank to buy the bills. And

582
00:32:47,040 --> 00:32:50,400
Speaker 1: what we're figuring out now, as you know, our writer

583
00:32:50,520 --> 00:32:53,040
Speaker 1: JM was pointing out from old articles that were written

584
00:32:53,040 --> 00:32:55,720
Speaker 1: about this time, it was down to like a three

585
00:32:55,880 --> 00:32:58,920
Speaker 1: person war over like bidding war over the bills. It

586
00:32:59,080 --> 00:33:03,040
Speaker 1: was the guy who owns the Buffalo Sabers, Donald Trump,

587
00:33:03,360 --> 00:33:06,400
Speaker 1: and then Jon bon Jovi and like a consortium of

588
00:33:06,520 --> 00:33:09,760
Speaker 1: rich guys from Toronto or Canada basically who are going

589
00:33:09,800 --> 00:33:13,120
Speaker 1: to buy it? And Trump tried he figured out a

590
00:33:13,120 --> 00:33:16,720
Speaker 1: way to basically poison the well for John bon Jovi. Yeah,

591
00:33:16,880 --> 00:33:21,840
Speaker 1: so he created a false flag group of Bills fans. Basically,

592
00:33:21,840 --> 00:33:24,880
Speaker 1: this group of Bills fans called themselves twelfth Man Thunder,

593
00:33:25,400 --> 00:33:30,240
Speaker 1: and they started doing protests like establishing bon Jovi free

594
00:33:30,360 --> 00:33:34,040
Speaker 1: zones and local bars and like one time a cover

595
00:33:34,080 --> 00:33:36,320
Speaker 1: band tried to play some bon Jovi music and they

596
00:33:36,360 --> 00:33:39,000
Speaker 1: got like booed off the stage and I kind of

597
00:33:39,040 --> 00:33:41,800
Speaker 1: like these guys so far. Yeah, So it turns out

598
00:33:41,880 --> 00:33:45,320
Speaker 1: there was nothing organic about this crassroots movement. It was

599
00:33:45,320 --> 00:33:51,600
Speaker 1: astro turfed. Uh. Donald Trumph fronted affair just to basically

600
00:33:52,080 --> 00:33:54,640
Speaker 1: make people. The idea that he was trying to get

601
00:33:54,640 --> 00:33:58,720
Speaker 1: out was that bon Jovi and his Canadian business partners

602
00:33:58,760 --> 00:34:02,280
Speaker 1: were going to move the bills to Toronto, yeah and

603
00:34:02,360 --> 00:34:06,560
Speaker 1: take away your precious bulls or bills bills. Yeah. Yeah.

604
00:34:06,680 --> 00:34:08,799
Speaker 1: And I think it was just you know, it's it's

605
00:34:09,040 --> 00:34:12,960
Speaker 1: right on track, babe, just xenophobia, like these Canadians are

606
00:34:12,960 --> 00:34:15,440
Speaker 1: gonna up the bills, I mean, the border war are

607
00:34:15,480 --> 00:34:19,000
Speaker 1: the buffalo bills? Like the root of all white nationalism.

608
00:34:19,040 --> 00:34:22,320
Speaker 1: I mean like, so if, right, if Trump buys the Bills,

609
00:34:22,800 --> 00:34:27,320
Speaker 1: maybe he doesn't run for president. Um. Also, like Timothy

610
00:34:27,400 --> 00:34:31,200
Speaker 1: McVeigh bet a thousand dollars on the Bills in the

611
00:34:31,640 --> 00:34:35,400
Speaker 1: fourth super Bowl that they're in and lost it, and

612
00:34:35,440 --> 00:34:37,319
Speaker 1: then it was yeah, this was the story. Actually it's

613
00:34:37,440 --> 00:34:40,040
Speaker 1: from Boomtown that book I mentioned earlier. But yeah, so

614
00:34:40,080 --> 00:34:43,520
Speaker 1: Timothy McVeigh was like this lifelong Buffalo Bills fan and

615
00:34:43,560 --> 00:34:46,680
Speaker 1: he bet a thousand dollars supposedly like the last money

616
00:34:46,719 --> 00:34:48,399
Speaker 1: he had because he's like, there's no way they're gonna

617
00:34:48,440 --> 00:34:51,480
Speaker 1: lose another time. And then he like lost it all,

618
00:34:51,560 --> 00:34:54,680
Speaker 1: and supposedly that like helped him over the roll down

619
00:34:54,840 --> 00:35:00,480
Speaker 1: into you know, a crazy Turner Diaries obsessive guy. Yeah,

620
00:35:00,480 --> 00:35:02,640
Speaker 1: because I think right after he lost, Trump lost his

621
00:35:02,719 --> 00:35:05,799
Speaker 1: bid for the Bills. He launched his presidential campaign nine

622
00:35:05,800 --> 00:35:07,719
Speaker 1: months later. Yeah, Like, if we would have just given

623
00:35:07,800 --> 00:35:09,799
Speaker 1: him an NFL team, I feel like the country if

624
00:35:09,840 --> 00:35:11,640
Speaker 1: it was like, all right, so Trump, you can either

625
00:35:11,680 --> 00:35:13,960
Speaker 1: have Trump as president or as an NFL owner, we

626
00:35:14,000 --> 00:35:16,040
Speaker 1: would have been like, well, sure, may give him an

627
00:35:16,120 --> 00:35:18,880
Speaker 1: NFL team. I mean, he's perfect as an NFL owner, right,

628
00:35:18,960 --> 00:35:22,520
Speaker 1: isn't it really Don Beebe's fault, you know what I mean?

629
00:35:22,600 --> 00:35:24,680
Speaker 1: Because wasn't he the one holding the football up? And

630
00:35:24,680 --> 00:35:26,880
Speaker 1: then Leon Letting just fucking bashed that ship out on

631
00:35:26,920 --> 00:35:29,120
Speaker 1: the one yard line when he was like feeling himself

632
00:35:29,120 --> 00:35:30,960
Speaker 1: too much. I mean, that's really what we need to

633
00:35:31,000 --> 00:35:33,520
Speaker 1: be looking at him or Scott Norwood right to see

634
00:35:33,560 --> 00:35:36,600
Speaker 1: the kicker who missed the kick was Don Beebe in

635
00:35:36,640 --> 00:35:38,719
Speaker 1: the second Super Bowl. That was the second time. I

636
00:35:38,760 --> 00:35:41,280
Speaker 1: don't remember. I just remember my Sports Illustrated for Kids.

637
00:35:41,400 --> 00:35:44,799
Speaker 1: It was in my worst moment ever Illustrated part and

638
00:35:44,840 --> 00:35:48,160
Speaker 1: I was like, damn, dom Beebe, I've never let that

639
00:35:48,239 --> 00:35:50,399
Speaker 1: go as a kid. Thank you to Sports Illustrated for Kids.

640
00:35:50,520 --> 00:35:53,120
Speaker 1: The perforated trading cards in the middle, we're kind of shitty.

641
00:35:53,280 --> 00:35:55,640
Speaker 1: They were terrible. Yeah, and I loved cards. I love

642
00:35:55,680 --> 00:35:57,479
Speaker 1: trading cards, so I was like, oh, it comes with cards,

643
00:35:57,480 --> 00:36:00,480
Speaker 1: and I'm like, what the funk is this perforated bullsh

644
00:36:00,760 --> 00:36:03,680
Speaker 1: my upper deckcad. But anyway, so this group, right, the

645
00:36:03,680 --> 00:36:06,320
Speaker 1: crazy thing is this the Trump hired this guy Michael Caputo,

646
00:36:06,400 --> 00:36:10,400
Speaker 1: who like like helped Oliver North out during the all

647
00:36:10,440 --> 00:36:13,560
Speaker 1: the Iran Constra stuff. He was like boosting the careers

648
00:36:13,560 --> 00:36:17,640
Speaker 1: of Boris Yeltson and fucking Putin. So then he's like, oh, perfect,

649
00:36:17,719 --> 00:36:21,440
Speaker 1: I need you to fucking destroy bon Jovi. And yeah,

650
00:36:21,920 --> 00:36:24,560
Speaker 1: it's just amazing, like, you know, using political operatives who

651
00:36:24,560 --> 00:36:26,719
Speaker 1: are like real good friends with Roger Stone and ship.

652
00:36:27,120 --> 00:36:29,759
Speaker 1: I just love the idea of the AstroTurf anti bon

653
00:36:29,960 --> 00:36:33,040
Speaker 1: Jovi group, right, yeah, especially like how are you going

654
00:36:33,040 --> 00:36:35,439
Speaker 1: to get a bar to be a bon Jovi free zone?

655
00:36:36,239 --> 00:36:40,040
Speaker 1: Like that's imp living on a prayer comes with that

656
00:36:40,120 --> 00:36:44,520
Speaker 1: cannot be done? Sorry, Yeah, people love bon Jovi, right,

657
00:36:45,040 --> 00:36:48,839
Speaker 1: and then the the wild part the the guy who

658
00:36:48,880 --> 00:36:52,920
Speaker 1: fronted this organization, this guy Caputo, he found a double

659
00:36:53,000 --> 00:36:56,480
Speaker 1: amputee cancer survivor to be the face of the organization

660
00:36:56,840 --> 00:36:58,759
Speaker 1: because he was basically saying, like, you know, if he's

661
00:36:58,800 --> 00:37:01,479
Speaker 1: at the front, who's gonna criticize you? You're a double

662
00:37:01,520 --> 00:37:04,880
Speaker 1: ampt cancer survivor. And the thing was the university was

663
00:37:04,920 --> 00:37:09,160
Speaker 1: the University of Texas. I have no legs Texas or Texas.

664
00:37:09,239 --> 00:37:12,400
Speaker 1: And yeah, they sued. They hit him with a season

665
00:37:12,480 --> 00:37:15,320
Speaker 1: desist because they're like, we actually trademark the phrase of

666
00:37:15,360 --> 00:37:17,880
Speaker 1: the twelfth Man, so we're gonna hit you with the

667
00:37:17,920 --> 00:37:21,319
Speaker 1: season desist and Caputo immediately march the guy out there

668
00:37:21,320 --> 00:37:23,799
Speaker 1: and he's like, look what they're doing Texas and him

669
00:37:23,880 --> 00:37:27,320
Speaker 1: suing a fan who's a double ampt cancer survivor. They're sick.

670
00:37:27,440 --> 00:37:29,600
Speaker 1: Keith Oberman even hopped on. He's like, they're the most

671
00:37:29,640 --> 00:37:34,960
Speaker 1: they're the worst people. Well, and then to make it up,

672
00:37:35,239 --> 00:37:39,640
Speaker 1: they get Texas A and M to donate twenty five thousand, uh,

673
00:37:39,680 --> 00:37:42,879
Speaker 1: you know, to help this organizations quote stop the Canadians

674
00:37:42,880 --> 00:37:46,080
Speaker 1: from buying their team. Uh. And then as an As

675
00:37:46,120 --> 00:37:47,920
Speaker 1: like a sort of like, look, we'll settle. We'll just

676
00:37:48,000 --> 00:37:51,359
Speaker 1: change our name to Bill's Fan Thunder uh. And you know,

677
00:37:51,680 --> 00:37:55,440
Speaker 1: still again circulating petitions around the city keep the team

678
00:37:55,480 --> 00:37:58,600
Speaker 1: in Buffalo again. Something that was never uttered by bon

679
00:37:58,680 --> 00:38:01,439
Speaker 1: Jovi or these the Canadian business people that are interested

680
00:38:01,440 --> 00:38:03,840
Speaker 1: in buying the team. They never for once said we

681
00:38:03,880 --> 00:38:05,879
Speaker 1: have any interests, like, no, we just want to buy

682
00:38:05,920 --> 00:38:09,400
Speaker 1: the Buffalo Bills and own this team, like Joey was

683
00:38:09,440 --> 00:38:13,640
Speaker 1: talking about moving to Buffalo, right. The only thing that

684
00:38:13,800 --> 00:38:17,319
Speaker 1: was that's Canadian about I know exactly the only thing

685
00:38:17,320 --> 00:38:20,520
Speaker 1: that was Canadian about the entire thing was that his

686
00:38:20,560 --> 00:38:24,839
Speaker 1: business partners were from Toronto and then Trump was like, oh,

687
00:38:24,880 --> 00:38:30,520
Speaker 1: we're gonna use that. Yeah, their foreigners. Yeah, he's he's

688
00:38:30,600 --> 00:38:33,000
Speaker 1: got a gift. This does kind of make me think

689
00:38:33,080 --> 00:38:35,960
Speaker 1: of him as more of an evil genius than I

690
00:38:36,000 --> 00:38:38,359
Speaker 1: did going into this story. Well, he's just I think

691
00:38:38,440 --> 00:38:40,120
Speaker 1: that's just always his tactic, you know what I mean.

692
00:38:40,160 --> 00:38:41,879
Speaker 1: If I don't like someone, let me create some fake

693
00:38:41,920 --> 00:38:44,360
Speaker 1: outrage about him. And it's also kind of the US

694
00:38:44,480 --> 00:38:47,680
Speaker 1: is playbook in general when they want to topple foreign governments.

695
00:38:47,719 --> 00:38:49,840
Speaker 1: It's like, how do I how do I AstroTurf some

696
00:38:49,920 --> 00:38:55,520
Speaker 1: outrage in this country or whatever? Most of dick anyway. So, yeah,

697
00:38:55,800 --> 00:38:59,080
Speaker 1: is the Buffalo Bills the node that all the evil

698
00:38:59,200 --> 00:39:02,600
Speaker 1: energy travels? I think, yeah, it has to be. It's

699
00:39:02,600 --> 00:39:05,560
Speaker 1: so weird to actually think about like these little things,

700
00:39:05,640 --> 00:39:08,680
Speaker 1: right of, like the Buffalo Bills winning the Super Bowl

701
00:39:08,719 --> 00:39:12,000
Speaker 1: and that connection to Timothy McVeigh. If Trump owned it,

702
00:39:12,040 --> 00:39:14,640
Speaker 1: would he have been too distracted to try and run

703
00:39:14,640 --> 00:39:17,840
Speaker 1: for president? Oh yeah, definitely he would. And he probably

704
00:39:17,880 --> 00:39:20,600
Speaker 1: would have put the bills like the Bills wouldn't exist

705
00:39:20,640 --> 00:39:24,400
Speaker 1: anymore we can all agree on some barely exists now. Yeah,

706
00:39:24,480 --> 00:39:27,080
Speaker 1: he would have driven that franchise into the ground. The

707
00:39:27,160 --> 00:39:31,680
Speaker 1: first NFL franchise to go out of business modern era,

708
00:39:31,960 --> 00:39:34,839
Speaker 1: Like nobody wanted the Golden seat package with seats were

709
00:39:34,880 --> 00:39:38,560
Speaker 1: made of gold. It was either he got to experiment

710
00:39:39,080 --> 00:39:43,640
Speaker 1: as the like an experiment in failure as the owner

711
00:39:43,680 --> 00:39:46,600
Speaker 1: of the Bills, or as the president of the United States.

712
00:39:47,320 --> 00:39:51,120
Speaker 1: And we got the ship end of that stick. Hey.

713
00:39:51,120 --> 00:39:52,920
Speaker 1: Well look, you know, shout out to the Bills backers,

714
00:39:53,040 --> 00:39:56,839
Speaker 1: you know what I mean, at least congratulations to the Bills. Yeah. Hey,

715
00:39:56,880 --> 00:40:00,680
Speaker 1: and then thank you for the Buffalo Wings too, yeah. Absolutely. Uh.

716
00:40:00,760 --> 00:40:05,160
Speaker 1: And salt potatoes and white nationalism. What are salt potatoes?

717
00:40:05,200 --> 00:40:08,759
Speaker 1: Actually that's Syracuse. What's a salt potato. It's just you

718
00:40:08,800 --> 00:40:13,360
Speaker 1: boil potatoes in water that is basically saturated with salt,

719
00:40:13,680 --> 00:40:16,920
Speaker 1: and they're really good. Really yeah, it's just a boiled

720
00:40:17,239 --> 00:40:21,759
Speaker 1: salty potato. Yeah, and then you butter them there incredible,

721
00:40:22,480 --> 00:40:26,080
Speaker 1: highly recommend Alright, salt Dinosaur Barbecue in New York is

722
00:40:26,080 --> 00:40:30,080
Speaker 1: like a Syracuse barbecue joint. Oh yeah them right, you

723
00:40:30,080 --> 00:40:32,360
Speaker 1: can get that on that website that moves. I'm not

724
00:40:32,440 --> 00:40:35,520
Speaker 1: doing that. I thought that's just how you boiled all vegetables. Well,

725
00:40:35,520 --> 00:40:39,600
Speaker 1: this is like apparently it's a lot of salt. It's

726
00:40:39,719 --> 00:40:42,600
Speaker 1: you like the amount of salt that you would usually

727
00:40:42,640 --> 00:40:46,120
Speaker 1: see used during a snowstorm. I think, in fact, that's

728
00:40:46,120 --> 00:40:48,480
Speaker 1: how it came to be in Buffalo. Is just they

729
00:40:48,480 --> 00:40:51,560
Speaker 1: had a little extra, uh they were they had been

730
00:40:51,560 --> 00:40:54,200
Speaker 1: spreading on. They're served in the summer when the young

731
00:40:54,239 --> 00:40:57,520
Speaker 1: potatoes are first harvested. M m m m m. Yes,

732
00:40:58,280 --> 00:41:00,439
Speaker 1: well I would I would love to have some salt

733
00:41:00,440 --> 00:41:03,560
Speaker 1: potatoes for dinner tonight. I think we're settled all learning

734
00:41:03,600 --> 00:41:08,080
Speaker 1: a little bit about Buffalo. All right, we're gonna take

735
00:41:08,120 --> 00:41:20,440
Speaker 1: a quick break. We'll be right back, and we're back.

736
00:41:21,440 --> 00:41:27,080
Speaker 1: And so conservatives desperately, desperately want to be victims. This

737
00:41:27,160 --> 00:41:30,760
Speaker 1: is this has been true in America for a long time.

738
00:41:31,120 --> 00:41:35,040
Speaker 1: They just want people to hate them. They want they

739
00:41:35,080 --> 00:41:41,440
Speaker 1: want to feel persecuted. And uh so right now, the

740
00:41:41,800 --> 00:41:45,680
Speaker 1: fact that some people have yelled at famous conservatives in

741
00:41:45,880 --> 00:41:49,920
Speaker 1: public at restaurants or asked them to leave restaurants. So

742
00:41:50,200 --> 00:41:53,520
Speaker 1: somebody saw that and was like, I smell money. Yeah,

743
00:41:53,719 --> 00:41:56,880
Speaker 1: I mean, we need a green book for Republicans. Yeah.

744
00:41:57,160 --> 00:42:03,080
Speaker 1: So that's basically what they have created, mean for scared conservatives, right,

745
00:42:03,160 --> 00:42:06,359
Speaker 1: and they love to pretend that they're African American or

746
00:42:06,400 --> 00:42:09,160
Speaker 1: in the LGBTQ community, or Muslims or some things. They

747
00:42:09,160 --> 00:42:10,359
Speaker 1: can be like, oh, let me look at look at

748
00:42:10,360 --> 00:42:12,719
Speaker 1: what we're going through though, right I can't. I wear

749
00:42:12,760 --> 00:42:17,799
Speaker 1: a maga hat and I'm racist. Wow? Okay, Well, yes,

750
00:42:18,080 --> 00:42:22,480
Speaker 1: there is a thing called sixty three Red Safe, which

751
00:42:22,520 --> 00:42:24,960
Speaker 1: is a terrible fucking name. I have no idea what

752
00:42:25,000 --> 00:42:26,759
Speaker 1: the funk that means. It sounds like some ship that

753
00:42:27,680 --> 00:42:34,120
Speaker 1: NFL quarterback would yell out lightning, lightning. But so it's

754
00:42:34,160 --> 00:42:36,640
Speaker 1: an apple. Like you said, you can basically assess a

755
00:42:36,680 --> 00:42:40,200
Speaker 1: business over how likely you are to be genocided by

756
00:42:40,239 --> 00:42:44,000
Speaker 1: socialist antifa if you go there. Um, And this is

757
00:42:44,040 --> 00:42:46,280
Speaker 1: just this is a clip where you can hear the

758
00:42:46,360 --> 00:42:49,359
Speaker 1: creator talk about it first and we let's let's talk

759
00:42:49,400 --> 00:42:52,040
Speaker 1: about on the other side. I've seen this described as

760
00:42:52,760 --> 00:42:56,400
Speaker 1: yelped for conservatives, but Scott on the location set are

761
00:42:56,520 --> 00:42:59,640
Speaker 1: deemed unsafe, and that one right there is safe. What

762
00:43:00,120 --> 00:43:04,440
Speaker 1: into saying they're not safe? Sure? Well, you know users

763
00:43:04,480 --> 00:43:08,080
Speaker 1: can review the local businesses and restaurants. It's just four

764
00:43:08,160 --> 00:43:11,719
Speaker 1: quick questions, yes or no questions. Uh Number one, does

765
00:43:11,800 --> 00:43:16,879
Speaker 1: this uh location serve all customers regardless of political beliefs. Uh,

766
00:43:17,080 --> 00:43:20,120
Speaker 1: will they protect their customers if they're under attacked by

767
00:43:20,239 --> 00:43:23,839
Speaker 1: others in the restaurant, there's a concealed carry question? And

768
00:43:23,960 --> 00:43:28,359
Speaker 1: does the location uh have a political presence in their

769
00:43:28,360 --> 00:43:31,480
Speaker 1: social media? Again, we're trying to get politics out of

770
00:43:31,520 --> 00:43:35,520
Speaker 1: these businesses. We we want business to understand that there's

771
00:43:35,600 --> 00:43:38,840
Speaker 1: no money in politics. That were and we're working to

772
00:43:39,080 --> 00:43:41,600
Speaker 1: call them out on it. People just want to go

773
00:43:41,600 --> 00:43:43,560
Speaker 1: out and eat. They just want to go out and shop.

774
00:43:43,880 --> 00:43:46,880
Speaker 1: Let's not make too there's sort of a general unease

775
00:43:46,920 --> 00:43:50,400
Speaker 1: among conservatives, and we want to make sure everything everyone's

776
00:43:50,400 --> 00:43:53,560
Speaker 1: safe out there. I mean those four questions can actually

777
00:43:53,560 --> 00:43:57,440
Speaker 1: be distilled down to one do they bang the racists?

778
00:43:58,000 --> 00:44:01,160
Speaker 1: Yes or no? Okay? To will they intervene if you're

779
00:44:01,160 --> 00:44:04,240
Speaker 1: attacked for screaming? Ship like? Speak English? We speak English

780
00:44:04,280 --> 00:44:08,280
Speaker 1: in America. Three can you bring a strap? He really

781
00:44:08,480 --> 00:44:13,080
Speaker 1: glossed over that one? Ye, keep that thing on you?

782
00:44:13,960 --> 00:44:16,840
Speaker 1: And does the business are they? Are they? Cux is

783
00:44:16,960 --> 00:44:20,759
Speaker 1: number four? Basically Yeah, I mean, wow, do we do they?

784
00:44:21,800 --> 00:44:26,520
Speaker 1: I can carry my gun? Yeah? Right? I Well, you know,

785
00:44:27,120 --> 00:44:30,520
Speaker 1: I hope this leads more people to not go places

786
00:44:30,560 --> 00:44:33,320
Speaker 1: where people are going to stand up to racism and

787
00:44:33,560 --> 00:44:36,440
Speaker 1: take a treat. Yeah, essentially, I mean, I like the

788
00:44:36,480 --> 00:44:38,640
Speaker 1: world where they can only eat at like the olive

789
00:44:38,680 --> 00:44:42,840
Speaker 1: garden and uh, the cheesecake factory, right, and then the

790
00:44:42,840 --> 00:44:45,759
Speaker 1: rest of us get the good restaurants. Yeah, I mean

791
00:44:45,800 --> 00:44:48,799
Speaker 1: olive Garden though sold and breadstick stay out of the

792
00:44:48,800 --> 00:44:55,239
Speaker 1: olive Garden magash. I wonder if they I mean, look,

793
00:44:55,280 --> 00:44:58,680
Speaker 1: everybody loves a cheesecake factory. But yeah, I don't know, Uh,

794
00:44:58,960 --> 00:45:01,680
Speaker 1: I don't know how opping this app is, especially when

795
00:45:01,680 --> 00:45:05,040
Speaker 1: you consider like the history of how terribly these apps

796
00:45:05,160 --> 00:45:08,160
Speaker 1: end up being. Like every conservative app we've talked about

797
00:45:08,200 --> 00:45:11,239
Speaker 1: has had either like crazy malware ship going on or

798
00:45:11,320 --> 00:45:13,680
Speaker 1: was like just a straight up scam or fraud. Well,

799
00:45:13,680 --> 00:45:15,880
Speaker 1: you don't actually have to get people to use it.

800
00:45:16,040 --> 00:45:19,400
Speaker 1: You just have to tell them that the that buying

801
00:45:19,480 --> 00:45:22,120
Speaker 1: the app will own the libs and so, you know,

802
00:45:22,200 --> 00:45:23,959
Speaker 1: you just get all the people that cut the Nike

803
00:45:24,040 --> 00:45:26,520
Speaker 1: swooshes off of their socks, you get them all the

804
00:45:26,520 --> 00:45:30,640
Speaker 1: download of app. Boom, there you go. I mean, at

805
00:45:30,680 --> 00:45:34,640
Speaker 1: this point, conservatism basically is like its own drifting scheme.

806
00:45:34,800 --> 00:45:38,239
Speaker 1: So right, yeah, this is just part and parcel with

807
00:45:38,400 --> 00:45:41,880
Speaker 1: everything else, right, Yeah, I mean I hope there. I

808
00:45:41,920 --> 00:45:43,960
Speaker 1: hope it all works out. And I mean if it's

809
00:45:44,000 --> 00:45:47,719
Speaker 1: anything like what was the Trump dating one, Oh yeah,

810
00:45:47,760 --> 00:45:50,960
Speaker 1: that'll it'll it'll flame out in about three minutes. Yeah.

811
00:45:51,080 --> 00:45:54,360
Speaker 1: That's been responsible for at least five common law marriages,

812
00:45:54,640 --> 00:46:01,719
Speaker 1: and so in the drive to be the victims of persecution,

813
00:46:02,360 --> 00:46:06,960
Speaker 1: one conservative has taken it the furthest that you possibly

814
00:46:07,040 --> 00:46:12,880
Speaker 1: can by threatening his own life. Yeah, Jacob, Yeah, the

815
00:46:12,880 --> 00:46:16,680
Speaker 1: man who gave us the boy the beautiful Twitter meme

816
00:46:16,800 --> 00:46:20,840
Speaker 1: of overhearing hipsters in a coffee shop talking whatever the

817
00:46:20,880 --> 00:46:24,680
Speaker 1: weird literal liberal scuttle butt was like, just overheard some

818
00:46:24,760 --> 00:46:27,359
Speaker 1: hipsters in the coffee shops table. It's like, okay, thank

819
00:46:27,400 --> 00:46:30,200
Speaker 1: you for that construction of a joke tweet. Uh. You know,

820
00:46:30,239 --> 00:46:33,239
Speaker 1: he was banned off Twitter basically because he's just the

821
00:46:33,320 --> 00:46:40,640
Speaker 1: dumbest liar ever really high level comedy or yeah exactly.

822
00:46:40,920 --> 00:46:42,480
Speaker 1: We don't know which one it is quite yet. We

823
00:46:42,760 --> 00:46:44,960
Speaker 1: might look back and be like, was this Andy Kaufman.

824
00:46:45,400 --> 00:46:48,800
Speaker 1: I don't know, but anyway, he had like a really

825
00:46:48,920 --> 00:46:51,440
Speaker 1: cool trip he went on to Minnesota to try and

826
00:46:51,440 --> 00:46:53,160
Speaker 1: be like I'm going to the belly of the beast

827
00:46:53,239 --> 00:46:56,520
Speaker 1: and like Ilhan Omar's district, and he was like really

828
00:46:56,520 --> 00:46:58,759
Speaker 1: trying to play up how unsafe. It was like he

829
00:46:58,800 --> 00:47:01,240
Speaker 1: was wearing a bulletproof us like, you know, like I got,

830
00:47:01,440 --> 00:47:03,360
Speaker 1: I gotta, I have to wear this for my own protection.

831
00:47:03,840 --> 00:47:05,120
Speaker 1: Then he got to the point it was like it

832
00:47:05,160 --> 00:47:08,960
Speaker 1: was so scary for me there. I was getting death

833
00:47:09,000 --> 00:47:11,520
Speaker 1: threats and he's like, look at this d M I

834
00:47:11,560 --> 00:47:15,120
Speaker 1: got from at Drake Holmes six one two is a

835
00:47:15,160 --> 00:47:19,160
Speaker 1: self described diversity coordinator, So you know where he's what

836
00:47:19,280 --> 00:47:21,640
Speaker 1: side this guy's on. He's probably works at a hipster

837
00:47:21,680 --> 00:47:24,960
Speaker 1: coffee shop. And the d M was, I hope you

838
00:47:25,040 --> 00:47:27,640
Speaker 1: fucking know that if I bump into you in dinky

839
00:47:27,640 --> 00:47:29,880
Speaker 1: Town or anywhere else in my city, I'm going to

840
00:47:30,000 --> 00:47:34,080
Speaker 1: shoot you and ship on your fucking bodies. Uh oh wow,

841
00:47:34,400 --> 00:47:35,799
Speaker 1: And then he said get the funk out of my city,

842
00:47:35,840 --> 00:47:39,040
Speaker 1: you piece of ship. Now. Now, when he first saw this,

843
00:47:39,120 --> 00:47:41,279
Speaker 1: he was like, I guess he was trying to say

844
00:47:41,280 --> 00:47:42,480
Speaker 1: that he was going to go to the police with

845
00:47:42,560 --> 00:47:44,920
Speaker 1: this because like, oh, this is a clear this is

846
00:47:44,960 --> 00:47:48,240
Speaker 1: someone who's putting my life in danger. Come to find

847
00:47:48,239 --> 00:47:51,719
Speaker 1: out that this is an account that was run by

848
00:47:51,840 --> 00:47:57,920
Speaker 1: Jacob wool and I mean he's just sending himself faked

849
00:47:58,000 --> 00:47:59,759
Speaker 1: death threats. What were the ones that he did a

850
00:47:59,800 --> 00:48:02,560
Speaker 1: while back where he did like women for Howard Schultz

851
00:48:02,680 --> 00:48:05,640
Speaker 1: or something like this is not his like first fake

852
00:48:05,680 --> 00:48:08,759
Speaker 1: Twitter account, Rodeo, No, I mean I don't. God, I

853
00:48:08,800 --> 00:48:11,040
Speaker 1: can't even keep track of all the scams he's had.

854
00:48:11,440 --> 00:48:13,680
Speaker 1: I need like a list, I mean he has, Yes,

855
00:48:13,880 --> 00:48:16,680
Speaker 1: this man is known for doing all the fake ship Oh,

856
00:48:16,920 --> 00:48:18,719
Speaker 1: the last one was when he was trying to say

857
00:48:18,800 --> 00:48:20,440
Speaker 1: he had like a woman who was going to accuse

858
00:48:20,560 --> 00:48:23,680
Speaker 1: Robert Mueller of ra Yeah, and then it like ended

859
00:48:23,760 --> 00:48:26,840
Speaker 1: up being his mom's phone number and ship. Yeah, the

860
00:48:27,640 --> 00:48:31,480
Speaker 1: website was registered to his mom's house. And then yeah,

861
00:48:31,520 --> 00:48:34,439
Speaker 1: he hooked up with that other conservative guy who would

862
00:48:34,520 --> 00:48:39,960
Speaker 1: like shot himself in uh in some sort of back

863
00:48:39,960 --> 00:48:43,520
Speaker 1: alley meeting where they were supposed to exchange like opposition

864
00:48:43,680 --> 00:48:46,960
Speaker 1: research or something, and then they partnered together on trying

865
00:48:47,000 --> 00:48:50,360
Speaker 1: to uh to frame Mueller. And then there was a

866
00:48:50,400 --> 00:48:54,000
Speaker 1: press conference where his lawyer had his fly down the

867
00:48:54,160 --> 00:48:58,040
Speaker 1: entire time. Oh, I think that's Jack Berkeman, right, yeah, yeah, yeah,

868
00:48:58,160 --> 00:49:01,799
Speaker 1: that though, like that quote unquote press conference was the

869
00:49:01,840 --> 00:49:05,000
Speaker 1: most awful thing to watch, and but it was also

870
00:49:05,080 --> 00:49:08,120
Speaker 1: fitting where it's like the guys talking so authoritatively, his

871
00:49:08,160 --> 00:49:10,239
Speaker 1: flies down the whole time. He said that Jacob Bowl

872
00:49:10,400 --> 00:49:14,840
Speaker 1: was like a Mozart or or Beethoven. He's one of

873
00:49:14,840 --> 00:49:18,480
Speaker 1: our great geniuses. Yes, yes, yeah, oh and that that

874
00:49:18,520 --> 00:49:21,600
Speaker 1: reminds me that sure fire intelligence thing. Remember all the

875
00:49:21,719 --> 00:49:23,680
Speaker 1: when they talked about the people that worked for the company.

876
00:49:23,760 --> 00:49:26,919
Speaker 1: One's just a picture of Christoph Vaults and they're like, yeah,

877
00:49:26,920 --> 00:49:28,640
Speaker 1: it's one of our the guys that works at this company.

878
00:49:28,760 --> 00:49:32,640
Speaker 1: This this stock photo of a model. Yeah. What this

879
00:49:32,719 --> 00:49:36,279
Speaker 1: makes me wonder whatever happened to James O'Keefe. Is there

880
00:49:36,320 --> 00:49:39,240
Speaker 1: now going to be a spot for him again, because

881
00:49:39,880 --> 00:49:42,520
Speaker 1: I mean I don't know what his latest grift is.

882
00:49:42,600 --> 00:49:46,360
Speaker 1: I mean when his Project Veritas things started falling apart.

883
00:49:46,719 --> 00:49:48,680
Speaker 1: He seems too subtle for the Trump and I know

884
00:49:48,800 --> 00:49:50,960
Speaker 1: that's what I'm wondering, Like it seems like he's not

885
00:49:51,080 --> 00:49:53,520
Speaker 1: dumb enough. Maybe yeah, like you have to be like

886
00:49:53,560 --> 00:49:58,640
Speaker 1: a professional wrestler slash used car salesman in today's environment,

887
00:49:58,719 --> 00:50:01,760
Speaker 1: but like Wildly and Upton or else, it doesn't match

888
00:50:01,960 --> 00:50:06,400
Speaker 1: the sort of tone that the Conservative Party is Because yeah,

889
00:50:06,400 --> 00:50:08,840
Speaker 1: but O'Keeffe also got owned pretty bad too when you

890
00:50:08,840 --> 00:50:11,480
Speaker 1: try to get the Washington Post with like a fake

891
00:50:11,520 --> 00:50:15,200
Speaker 1: accuser of yeah, is that what having is that where

892
00:50:15,239 --> 00:50:17,640
Speaker 1: he went? What do you mean that that was the

893
00:50:17,719 --> 00:50:20,880
Speaker 1: last time he made really big news? Was because then

894
00:50:20,880 --> 00:50:23,120
Speaker 1: the Washington Post smelled it from a mile away and

895
00:50:23,120 --> 00:50:25,440
Speaker 1: started looking up this woman they were like, supposedly was

896
00:50:25,440 --> 00:50:27,480
Speaker 1: giving them a tip, and then they pulled up with it.

897
00:50:27,480 --> 00:50:30,520
Speaker 1: It was a roy More accuser. It was back in there,

898
00:50:31,160 --> 00:50:33,000
Speaker 1: and then they had the camera. They're like, well, that's

899
00:50:33,040 --> 00:50:35,319
Speaker 1: weird because we saw you respond to an ad about

900
00:50:35,320 --> 00:50:37,520
Speaker 1: how you're gonna work for conservative media. Now you don't

901
00:50:37,520 --> 00:50:38,840
Speaker 1: have anything to do with James O'Keefe to you, And

902
00:50:38,880 --> 00:50:42,719
Speaker 1: she was like, I gotta go. So yeah, I mean, look,

903
00:50:42,800 --> 00:50:46,319
Speaker 1: learn how to cheat, right. That's all well, speaking of

904
00:50:46,400 --> 00:50:49,560
Speaker 1: learning to cheat, right, the transitions have really just written

905
00:50:49,600 --> 00:50:53,000
Speaker 1: themselves today. Thanks Paul Man of Fort now faces seven

906
00:50:53,000 --> 00:50:56,000
Speaker 1: and a half years in prison. He was finally sentenced

907
00:50:56,120 --> 00:51:01,320
Speaker 1: by Judge Amy Berman Jackson and shouldn't seemed that charmed

908
00:51:01,360 --> 00:51:05,560
Speaker 1: by him. She seemed like she was not into him. Yeah,

909
00:51:05,600 --> 00:51:07,279
Speaker 1: she didn't throw the book at him, but she was

910
00:51:07,360 --> 00:51:09,440
Speaker 1: just like, but she let him know. I think in

911
00:51:09,480 --> 00:51:12,160
Speaker 1: case if you ever tried to appeal. Her statements are

912
00:51:12,160 --> 00:51:14,160
Speaker 1: pretty clear to say, like this is why I gave

913
00:51:14,200 --> 00:51:18,000
Speaker 1: this sentence. The like was like you squandered your chance

914
00:51:18,040 --> 00:51:20,560
Speaker 1: at leniency, Like they're using those words and like and

915
00:51:20,719 --> 00:51:23,360
Speaker 1: you know, contrary to what you may think, facts matter

916
00:51:23,400 --> 00:51:26,400
Speaker 1: in my courtroom. And you know, it was one of

917
00:51:26,440 --> 00:51:27,759
Speaker 1: those things a lot of people like, oh, give him

918
00:51:27,760 --> 00:51:29,719
Speaker 1: ten years, give him ten years. It ended up being

919
00:51:29,760 --> 00:51:33,160
Speaker 1: seven and a half total fine, definitely within the guidelines,

920
00:51:33,280 --> 00:51:36,239
Speaker 1: unlike Judge Elliott, who was like, oh, I'm sorry, bro,

921
00:51:36,560 --> 00:51:38,320
Speaker 1: let me let me give you like a couple of

922
00:51:38,400 --> 00:51:40,880
Speaker 1: years with time served. Yeah, he seems to be like

923
00:51:40,960 --> 00:51:45,239
Speaker 1: really good about giving people late sentences. I mean they're black, Congressman,

924
00:51:45,800 --> 00:51:49,359
Speaker 1: when they're you set the record for the longest sentence ever.

925
00:51:49,560 --> 00:51:51,239
Speaker 1: The question is he gonna do it like at a

926
00:51:51,280 --> 00:51:53,040
Speaker 1: real prison or is he gonna get to go to

927
00:51:53,120 --> 00:51:55,839
Speaker 1: some like cushy federal minimum security thing where he gets

928
00:51:55,840 --> 00:51:57,560
Speaker 1: to play softball. Ever it is, I mean, it's gonna

929
00:51:57,560 --> 00:52:00,359
Speaker 1: be cushy because the nature of his crimes don't puts

930
00:52:00,440 --> 00:52:02,359
Speaker 1: him already in that kind of a prison. She wasn't

931
00:52:02,480 --> 00:52:05,120
Speaker 1: in solitary a big portion of the time that he

932
00:52:05,160 --> 00:52:08,440
Speaker 1: was being held for because he was witness tampering because

933
00:52:08,440 --> 00:52:10,279
Speaker 1: he was on bail, and when he started sucking around,

934
00:52:10,320 --> 00:52:13,120
Speaker 1: she's like, oh, no, you're not sucking around, and like

935
00:52:13,320 --> 00:52:18,000
Speaker 1: coaching witnesses go to you know, solitary and you know,

936
00:52:18,080 --> 00:52:21,760
Speaker 1: she was also very very clear upfront said this trial

937
00:52:21,880 --> 00:52:25,279
Speaker 1: has nothing to do with collusion. I'm looking at financial

938
00:52:25,320 --> 00:52:28,239
Speaker 1: crimes and these have been proven. This has this is

939
00:52:28,239 --> 00:52:30,759
Speaker 1: not anything to do with collusion. So this sentence has

940
00:52:30,800 --> 00:52:33,640
Speaker 1: nothing to do with collusion. And of course the first

941
00:52:33,719 --> 00:52:36,600
Speaker 1: thing manaforts lawyer comes out and says right after saying,

942
00:52:36,600 --> 00:52:41,360
Speaker 1: it's like there was proven, there's no collusion, and it's like, yo, okay,

943
00:52:41,480 --> 00:52:44,759
Speaker 1: we already know the pardon is getting cooked up right now.

944
00:52:45,080 --> 00:52:48,319
Speaker 1: They they have no reason to say that other than

945
00:52:48,360 --> 00:52:50,719
Speaker 1: that they're kissing the president's asset. And I know that's

946
00:52:50,760 --> 00:52:53,000
Speaker 1: what he wants to hear, of course, because he's the

947
00:52:53,120 --> 00:52:56,600
Speaker 1: guy who can pardon them, and there's nothing anyone can

948
00:52:56,640 --> 00:53:00,759
Speaker 1: do about that, right well, oh unless you're the state

949
00:53:00,800 --> 00:53:03,520
Speaker 1: of New York. So we all know the president can

950
00:53:03,520 --> 00:53:05,680
Speaker 1: only pardon you for you know, crimes, even charge at

951
00:53:05,680 --> 00:53:08,400
Speaker 1: the federal level, but at the state level, his hands

952
00:53:08,440 --> 00:53:12,880
Speaker 1: are fucking tiny and useless and tied behind his back. Uh.

953
00:53:12,920 --> 00:53:16,799
Speaker 1: And right after his sentencing in this federal case, the

954
00:53:16,800 --> 00:53:19,000
Speaker 1: state of New York hits him with like a sixteen

955
00:53:19,000 --> 00:53:21,719
Speaker 1: count indictment for crimes in the state of New York.

956
00:53:22,040 --> 00:53:25,640
Speaker 1: So yeah, it's it's not a great day for him.

957
00:53:25,760 --> 00:53:27,560
Speaker 1: Um So I'm not sure what he'll do now. I mean,

958
00:53:27,560 --> 00:53:30,279
Speaker 1: like does that make him want to change his tune? Right,

959
00:53:30,280 --> 00:53:34,120
Speaker 1: because now they're like, now you're unpardonable, Paul. It would

960
00:53:34,120 --> 00:53:36,440
Speaker 1: make sense if everything he's done up to this point

961
00:53:36,520 --> 00:53:38,759
Speaker 1: is just with the knowledge that he thinks he can

962
00:53:38,800 --> 00:53:42,600
Speaker 1: just get out of this pretty easily with a pardon, right, yeah,

963
00:53:42,719 --> 00:53:46,239
Speaker 1: we should. Is there a running tally between how many

964
00:53:46,280 --> 00:53:50,160
Speaker 1: people are going to prison from the Trump campaign versus

965
00:53:50,600 --> 00:53:53,839
Speaker 1: how many friends of Nixon went to went to jail.

966
00:53:53,880 --> 00:53:55,759
Speaker 1: I feel like at this point, like Trump has to

967
00:53:55,840 --> 00:53:59,919
Speaker 1: have eclipsed him, right, like he only had a couple Yeah,

968
00:54:00,000 --> 00:54:05,120
Speaker 1: the number of indictments and yeah, not now convictions probably

969
00:54:05,239 --> 00:54:10,279
Speaker 1: has to be I mean that's Cohen Manafort. Uh that

970
00:54:10,520 --> 00:54:15,000
Speaker 1: what was the other guy, Papadopolis Nader? There's that Nader guy.

971
00:54:15,760 --> 00:54:18,720
Speaker 1: We would we say Michael Flynn. Yet note Michael Flynn.

972
00:54:19,440 --> 00:54:23,160
Speaker 1: So many people about Demi roger Stone imminently. Boy, he's

973
00:54:23,160 --> 00:54:26,800
Speaker 1: already been indicted. I feel like Eric Prince is probably

974
00:54:26,800 --> 00:54:31,400
Speaker 1: coming up soon. He still not in prison. Yeah again,

975
00:54:31,480 --> 00:54:34,160
Speaker 1: anyone who has not seen the Al Jazeera Medi Hassan

976
00:54:34,400 --> 00:54:39,360
Speaker 1: versus Eric Prince showdown and we talked about, yeah, I

977
00:54:39,400 --> 00:54:41,439
Speaker 1: mean maybe had to check that out because they had

978
00:54:41,560 --> 00:54:46,040
Speaker 1: him on a Al Jazeera talk show where he just

979
00:54:47,000 --> 00:54:50,560
Speaker 1: it was really refreshing to see somebody not like let

980
00:54:50,640 --> 00:54:53,560
Speaker 1: him squirm out of it. Like they weren't worried about

981
00:54:53,600 --> 00:54:56,719
Speaker 1: how uncomfortable it was for audiences to watch. They weren't

982
00:54:56,719 --> 00:54:59,680
Speaker 1: worried about like losing audience or I don't know whatever.

983
00:54:59,680 --> 00:55:04,839
Speaker 1: The fun keeps mainstream media American journalists from like just

984
00:55:05,160 --> 00:55:08,600
Speaker 1: staying with an awkward moment and calling somebody on their bullshit.

985
00:55:08,719 --> 00:55:12,319
Speaker 1: But yeah, they were like, here, I have the transcript here,

986
00:55:12,480 --> 00:55:15,600
Speaker 1: like I'm holding it in my hand. You said this,

987
00:55:15,920 --> 00:55:20,000
Speaker 1: which now you're acknowledging is a lie. No, Na, look

988
00:55:20,680 --> 00:55:25,280
Speaker 1: smoke bomb. Right? Was his family the one that Betsy

989
00:55:25,320 --> 00:55:28,160
Speaker 1: Divos was born into or the one that she married into.

990
00:55:28,880 --> 00:55:34,520
Speaker 1: That's his sister. So she married into the imagine imagine

991
00:55:34,560 --> 00:55:37,279
Speaker 1: like being born rich and then like the thing that

992
00:55:37,320 --> 00:55:39,759
Speaker 1: your two kids say that they're going into. One is like,

993
00:55:39,960 --> 00:55:43,040
Speaker 1: I'm gonna take all this money and start a mercenary company,

994
00:55:43,160 --> 00:55:44,920
Speaker 1: and the other one is like, I'm going to dedicate

995
00:55:44,960 --> 00:55:48,560
Speaker 1: my life to defunding public school. It's like, wow, great

996
00:55:48,640 --> 00:55:51,440
Speaker 1: kids he raised there that like all having all the

997
00:55:51,440 --> 00:55:53,440
Speaker 1: money in the world, and those are the things that

998
00:55:53,520 --> 00:55:56,640
Speaker 1: you've if you became like a sneaker head, it would

999
00:55:56,640 --> 00:55:59,759
Speaker 1: have been a win for But then he would have

1000
00:55:59,800 --> 00:56:03,359
Speaker 1: been he had I've weaponized this Nike pressto to be

1001
00:56:03,400 --> 00:56:08,640
Speaker 1: a stealth bomber. Uh Watergate, Let's see forty government officials

1002
00:56:08,640 --> 00:56:14,280
Speaker 1: indicted or jailed. Yeah, I mean I think thirty five

1003
00:56:14,360 --> 00:56:19,080
Speaker 1: people so far, or yeah, thirty five for Muller, so

1004
00:56:19,160 --> 00:56:22,359
Speaker 1: he's creeping up, but twenty six Russian nationals. But it's

1005
00:56:22,440 --> 00:56:27,320
Speaker 1: Rick Gates. Flann Papadopo was Alexander's wan that the lawyer

1006
00:56:27,680 --> 00:56:30,719
Speaker 1: from Scott and Arps I think, right, or one of

1007
00:56:30,760 --> 00:56:32,680
Speaker 1: the law firms who lied and then like had to

1008
00:56:32,680 --> 00:56:35,280
Speaker 1: like be like, oh no, I actually I did, like sorry, sorry, sorry,

1009
00:56:35,400 --> 00:56:38,840
Speaker 1: I'm sorry, I'm sorry. So, yeah, like the counts running

1010
00:56:38,880 --> 00:56:41,080
Speaker 1: up and there's plenty of people too. You're still on

1011
00:56:41,120 --> 00:56:44,080
Speaker 1: the hook. So he's still got that weird team of

1012
00:56:44,120 --> 00:56:48,840
Speaker 1: like Civil War reenactors like Ty Cobb and the Shady Doctor.

1013
00:56:49,160 --> 00:56:51,440
Speaker 1: He's got a whole team of people with like weird mustache, oh,

1014
00:56:51,560 --> 00:56:54,080
Speaker 1: John Bolton, a lot of weird mustaches, and there he

1015
00:56:54,160 --> 00:56:57,120
Speaker 1: doesn't like the mustaches though, he's always said that. He's like,

1016
00:56:57,120 --> 00:56:59,640
Speaker 1: he didn't like John Bolton's mustache, Like initially, I think

1017
00:56:59,680 --> 00:57:01,879
Speaker 1: when they were talking about John Bolton even having any

1018
00:57:01,960 --> 00:57:04,120
Speaker 1: kind of affiliation with the administration that he I think

1019
00:57:04,120 --> 00:57:05,960
Speaker 1: he's pointed out something about his must Yeah. I think

1020
00:57:05,960 --> 00:57:09,200
Speaker 1: that's one of Trump's only good instincts is that he

1021
00:57:09,239 --> 00:57:12,000
Speaker 1: didn't like John Bolton's mustache, Like, yeah, that is a

1022
00:57:12,120 --> 00:57:15,279
Speaker 1: sociopath's mustache. That and also gotta gotta give it to him.

1023
00:57:15,320 --> 00:57:18,760
Speaker 1: He did finally ground those Boeing seven thirty seven Max

1024
00:57:18,840 --> 00:57:21,880
Speaker 1: eight planes after everyone else is like, Hi, are you

1025
00:57:21,920 --> 00:57:25,439
Speaker 1: the only country on earth like letting this happen? Wait,

1026
00:57:25,440 --> 00:57:27,840
Speaker 1: do you think Trump's zeke gang? Do you think he listens?

1027
00:57:27,560 --> 00:57:30,240
Speaker 1: Oh he's gang, Yeah for sure, absolutely, he's got it

1028
00:57:30,320 --> 00:57:33,680
Speaker 1: tatted all right. Well thence it's been a pleasure having

1029
00:57:33,680 --> 00:57:35,640
Speaker 1: you man. Oh yeah, thanks for having me on. I

1030
00:57:35,960 --> 00:57:38,920
Speaker 1: very much enjoyed it. Where can people find you? Um?

1031
00:57:38,960 --> 00:57:41,680
Speaker 1: I right for up rocks And I have two podcasts.

1032
00:57:42,040 --> 00:57:44,360
Speaker 1: We have the film Drunk Fradcast f r O T

1033
00:57:44,880 --> 00:57:47,919
Speaker 1: Cast that's about you know, comedy and movies. And then

1034
00:57:48,080 --> 00:57:50,800
Speaker 1: we just started a new one where we're watching the

1035
00:57:50,880 --> 00:57:55,720
Speaker 1: Sopranos and that's called Pod Yourself a Gun. Yeah, Sopranos

1036
00:57:55,760 --> 00:57:59,840
Speaker 1: podcast the Sopranos. Uh. And is there a tweet you've

1037
00:58:00,000 --> 00:58:02,479
Speaker 1: and enjoy it? There is? I wrote a couple down

1038
00:58:02,520 --> 00:58:07,240
Speaker 1: actually at one or two. Uh, okay, so the first one, uh,

1039
00:58:07,240 --> 00:58:09,760
Speaker 1: this one comes from Henry Hook, who I wasn't following,

1040
00:58:09,760 --> 00:58:12,760
Speaker 1: but someone retweeted it into my timeline on we Perkins

1041
00:58:12,800 --> 00:58:16,240
Speaker 1: at on We Perkins. Why couldn't Huffman and Laughlin just

1042
00:58:16,280 --> 00:58:18,240
Speaker 1: do what my mother did to get me into college?

1043
00:58:18,640 --> 00:58:21,720
Speaker 1: She brought a ricotta pie with pineapples, the Genie Kusamanos

1044
00:58:21,720 --> 00:58:23,920
Speaker 1: sister and told her to write that fucking letter of

1045
00:58:23,960 --> 00:58:30,360
Speaker 1: recommendation or get murdered, which, you know, combining the Sopranos

1046
00:58:30,480 --> 00:58:34,640
Speaker 1: and the events, the scam to get you know, rich

1047
00:58:34,680 --> 00:58:37,960
Speaker 1: people into college. Yeah, we story. We're taking the day

1048
00:58:38,000 --> 00:58:40,600
Speaker 1: off from talking about that story. But it'll be back soon.

1049
00:58:40,720 --> 00:58:43,640
Speaker 1: Gets it's overwhelmed those there's too many pages. There's so

1050
00:58:43,720 --> 00:58:47,600
Speaker 1: much good ship, it's amazing. Uh and I go one

1051
00:58:47,600 --> 00:58:50,960
Speaker 1: more so. This one is from pixelated Boat, who I

1052
00:58:51,000 --> 00:58:53,480
Speaker 1: am a follower of. Uh. It's also about the same

1053
00:58:53,520 --> 00:58:57,280
Speaker 1: subject weird um bribing an administrator to enroll my hated

1054
00:58:57,360 --> 00:59:06,480
Speaker 1: human son Clermis in dog school Clar. Someone named their

1055
00:59:06,520 --> 00:59:10,400
Speaker 1: dog Clare, Miss please Uh miles where people find you

1056
00:59:10,480 --> 00:59:13,320
Speaker 1: find me on Twitter and Instagram at Miles of Gray

1057
00:59:13,920 --> 00:59:16,200
Speaker 1: tweet I like also having to do with the college

1058
00:59:16,200 --> 00:59:20,240
Speaker 1: admission scam by Hannah Dickinson at Hands Dicky, He says,

1059
00:59:20,320 --> 00:59:23,120
Speaker 1: imagine being so stupid you send your parents to jail.

1060
00:59:27,040 --> 00:59:30,080
Speaker 1: A couple tweets I've been enjoying a couple about that

1061
00:59:30,520 --> 00:59:35,280
Speaker 1: scandal in particular. Andrew t said it's probably worth noting that,

1062
00:59:35,400 --> 00:59:38,600
Speaker 1: statistically speaking, not a single white person deserves to go

1063
00:59:38,640 --> 00:59:45,120
Speaker 1: to college. Uh. And James Vanderbyek tweeted, uh so. ABC

1064
00:59:45,280 --> 00:59:49,160
Speaker 1: News tweeted FBI special Agents It basically tweeted the story

1065
00:59:49,560 --> 00:59:54,520
Speaker 1: about the arrests and that it was named Operation Varsity Blues. Uh.

1066
00:59:54,520 --> 00:59:57,400
Speaker 1: And James vanderbyk tweeted, if only there was a succinct

1067
00:59:57,520 --> 00:59:59,960
Speaker 1: turn of phrase these kids could have used to inform

1068
01:00:00,080 --> 01:00:04,960
Speaker 1: their parents they were not desirous of their life. Pattt

1069
01:00:05,120 --> 01:00:09,320
Speaker 1: won't you anyways? You can find me on Twitter at

1070
01:00:09,360 --> 01:00:12,400
Speaker 1: Jack Underscore O'Brien. You can find us on Twitter at

1071
01:00:12,480 --> 01:00:15,720
Speaker 1: Daily Zeitgeist. We're at the Daily Zychgeist on Instagram. We

1072
01:00:15,760 --> 01:00:19,120
Speaker 1: have a Facebook fan page and a website Daily zegeis

1073
01:00:19,160 --> 01:00:21,600
Speaker 1: dot com where we post our episodes and are putting

1074
01:00:22,320 --> 01:00:24,360
Speaker 1: where we link off to the information that we talked

1075
01:00:24,400 --> 01:00:27,200
Speaker 1: about in today's episode, as well as the song we

1076
01:00:27,240 --> 01:00:32,200
Speaker 1: round album. This is a song by sax player Donnie McCastle.

1077
01:00:32,280 --> 01:00:34,120
Speaker 1: And oh sorry, I forgot to say my personal Twitter

1078
01:00:34,200 --> 01:00:37,600
Speaker 1: account at Vince Mancini. Yeah fans, sorry, no, no, no,

1079
01:00:37,800 --> 01:00:41,520
Speaker 1: grinding the show to a hall follow Vince please please

1080
01:00:41,560 --> 01:00:45,360
Speaker 1: do it. It's a good follow. Yeah mccastland. Donnie McCaslin

1081
01:00:45,560 --> 01:00:48,400
Speaker 1: got an album called blow Out. But this is a track.

1082
01:00:48,720 --> 01:00:51,880
Speaker 1: It's called the Opener featuring Sunkill Moon Uh and it's

1083
01:00:51,920 --> 01:00:55,760
Speaker 1: just the weird, it's funky mash up. I really enjoyed it.

1084
01:00:55,840 --> 01:00:59,440
Speaker 1: So yeah, this is the Opener by Donnie mccastin. Alright,

1085
01:00:59,480 --> 01:01:01,919
Speaker 1: we're gonna and at them that we will be back

1086
01:01:02,000 --> 01:01:07,120
Speaker 1: tomorrow because it is a daily podcast t H. I

1087
01:01:07,200 --> 01:01:09,520
Speaker 1: got off the plane at the Tampa Airport and walked

1088
01:01:09,560 --> 01:01:14,360
Speaker 1: outside into the Florida sunshine, and I was met by

1089
01:01:14,360 --> 01:01:19,080
Speaker 1: a tall, grungy, red headed promoter and a shaved headed

1090
01:01:19,200 --> 01:01:24,120
Speaker 1: friend who was along for the rhine. In my line

1091
01:01:24,120 --> 01:01:26,760
Speaker 1: of work, friend was a long for the ride means

1092
01:01:27,120 --> 01:01:31,000
Speaker 1: fan who wants to eavesdrop on my life. Over the

1093
01:01:31,120 --> 01:01:36,200
Speaker 1: years of found ways of blocking out the noise. A

1094
01:01:36,200 --> 01:01:39,280
Speaker 1: found ways to didge, to whisk you, to divert to

1095
01:01:39,480 --> 01:01:40,000
Speaker 1: avoid