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Speaker 1: Hello, hello, Hello, Hello, Hi, Yes, okay, yep hi, yes,

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Speaker 1: hello y'all. I know you're used to hearing Mr Jack

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Speaker 1: O'Brien tesus class, but I am the substitute and I

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Speaker 1: would like to welcome you the Internet to season one,

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Speaker 1: Episode five of The Daily Night Guys. There's a production

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Speaker 1: of My Heart Radio, and it's the podcast where we

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Speaker 1: take a deep dive into america shared consciousness. It's Friday,

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Speaker 1: Thank you July. My name is Myles Gray, a k A.

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Speaker 1: Fucking with the best. Yes Sama hosts never had a

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Speaker 1: problem making shows. The ride out music's all I know

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Speaker 1: in Hawaii Volcanoes. Shout out to the track I'm a

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Speaker 1: Zoe by Black Data if you remember that from two

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Speaker 1: thousand ten the Haitian rapper and shout out to Christie

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Speaker 1: I'm a Gucci Maine for that wonderful akut. I mean

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Speaker 1: I have I forgot about that song and I was like,

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Speaker 1: how are you referencing this song? But again that's what

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Speaker 1: we do. We hop in the dolore and go back

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Speaker 1: eleven years to bygone Titian rappers. Now it's important that

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Speaker 1: I bring in my guest host, someone who is stood

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Speaker 1: by my side when I've just been left in the

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Speaker 1: lurch by Jackison. I need to help. Somebody's gonna carry

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Speaker 1: the show and I am thrilled and please to be

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Speaker 1: joined by the talented, the brilliant. But you got a

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Speaker 1: new podcast stop and you might want to funk with it.

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Speaker 1: It's about Cathy. It's the at Cast and you know

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Speaker 1: her from the Bechdel Cast. You know her from? Well

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Speaker 1: what don't you know her from? Please welcome our favorite

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Speaker 1: little's Amboni, herself Jamie loftiz he Ky Jamie, Jamie, Jamie

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Speaker 1: Jamie my dog shitty garbage politics. I wrote that one myself. Okay, yeah,

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Speaker 1: I mean I've been in a purple state. So he's

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Speaker 1: been really trotten around the yard, telling people to vote

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Speaker 1: blue no matter who. And I keep and explain to

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Speaker 1: him why that's a flawed mentality. Yeah, there's no nuance

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Speaker 1: and that what state? Or I mean Wisconsin. Oh, I'm

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Speaker 1: eating so much cheese and there's a tornado and that

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Speaker 1: I think that that's all that's happened in Wisconsin. Tornadoes,

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Speaker 1: you know, tornadoes freak me out. Well, let's get to

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Speaker 1: our guests. This is somebody who is you know, just

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Speaker 1: an o g in that Lay area people know him.

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Speaker 1: I mean, look, he's a writer, he's a comedian, he's

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Speaker 1: an improviser. He's everywhere you want to be. He's like

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Speaker 1: Visa or Master Carter American Express. I don't know which

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Speaker 1: one it is, but this man is talented beyond all belief.

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Speaker 1: Please welcome the wonderful and brilliant Carl Tar. Y'adu did it,

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Speaker 1: y'ada did it to him. Y'ada lifted the band. He

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Speaker 1: lifted the band. The band is over. If anybody remembers that,

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Speaker 1: shout out to you for rocking with the show, that loan.

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Speaker 1: But I'm sure that nobody remembers that. Ben. How long

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Speaker 1: did I mean it's been that band has been in

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Speaker 1: place for years? Four or five years? Yeah, more years.

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Speaker 1: I would like to remember, Like, damn, I've been doing

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Speaker 1: this show for that long. Yeah? Man, you still broke? Yeah,

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Speaker 1: and I'm in Yes, I'm moving up there. Like here's

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Speaker 1: a monstor for six months. I'm like, okay, I'll take that.

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Speaker 1: I still don't have a driver's license. Been four years,

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Speaker 1: you know. It has nothing to do with I would

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Speaker 1: like to hold like guys personally accountable for me now

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Speaker 1: having a driver keep feeling the test, you've transcended like

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Speaker 1: I supposed to be real anything at this point, that's

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Speaker 1: on you, Jamie. That's on you and your representatives. Man,

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Speaker 1: we keep it on that written test, and did you

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Speaker 1: do the same. I'm sure Miles you have a similar Jamie.

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Speaker 1: You're from You're not from California. Okay, Well I'll hear

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Speaker 1: they the test, the written test was the same for

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Speaker 1: everybody who's on a long scrip of paper, And all

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Speaker 1: they did was rearranged where the questions were. So when

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Speaker 1: people took their written tests at school and they got

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Speaker 1: the answers right, you just had to memorize the answers

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Speaker 1: and exactly that's how you passed. Yeah, because there's only

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Speaker 1: like three Like if you had three of them, you

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Speaker 1: have basically had every question. My thing was in high

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Speaker 1: school I did I didn't get my license because all

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Speaker 1: my other friends were like so on it, and my

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Speaker 1: parents weren't getting me a car or anything like that,

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Speaker 1: so like I'm do with a license. So I was

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Speaker 1: always getting show furd around, as I like to say,

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Speaker 1: in high school. And then when I actually passed, when

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Speaker 1: I went from my test, I did that thing where

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Speaker 1: every you know, I'm sure every state has that d

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Speaker 1: m V in their area or they're like you can

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Speaker 1: show up drunk and it will still give you a

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Speaker 1: driver's license. Yeah, and that was the our Leader d

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Speaker 1: m V. For me, it was it was a wood

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Speaker 1: for me. Yeah, there's always those V. I failed the

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Speaker 1: angle with d m V. I feel that Glendale d

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Speaker 1: m V. I felt that three different d m vs

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Speaker 1: in the metropolitan Okay, I haven't tried there yet. Yeah,

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Speaker 1: our leader, if if, if things have still held steady

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Speaker 1: since my time out there, our leader, you could, I'm

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Speaker 1: sure you could even show with like fake I d

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Speaker 1: and they're like all right, Mr Reagan and like hit

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Speaker 1: the hit a mailbox and you're good. Oh yeah, yeah, yeah,

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Speaker 1: you're fine. You're fine. Anyway. How's everybody doing doing doing

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Speaker 1: all right? Chilling? Yeah? Yeah, is looking strong back? You're

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Speaker 1: seeing that. Yeah, I don't know people, people don't know.

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Speaker 1: He's got a he's got a shoot haul behind him.

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Speaker 1: They were all on the floor before. And then I

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Speaker 1: moved and I had I got an office space here

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Speaker 1: and I got a second bed room and decided to

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Speaker 1: have a little office space, and so I was I

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Speaker 1: bought some racks off of the evil overlord Amazon. Sorry

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Speaker 1: sorry to those who are woke, but I had to

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Speaker 1: get the rack and I needed hum quake. Also, what

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Speaker 1: do you have a DJ set up back there? Do

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Speaker 1: I see a rain mixer? Yeah? Oh ship, what do you?

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Speaker 1: What are you d J? I might throw someone need

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Speaker 1: a baker own and makes it with a little shot.

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Speaker 1: Wait when do you says? When? How do you? When

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Speaker 1: we have you been spinning? We'll talk about this offs

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Speaker 1: as somebody who who you? Who? DJ? A lot? I

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Speaker 1: saw I was clocking that log on like, yeah, we're

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Speaker 1: getting back. I'm doing clubs yet I'm just doing broadcast.

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Speaker 1: You know, I told you I throw on my I

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Speaker 1: throw on my Herbut but making love in the rain okay, Yes,

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Speaker 1: we love the trumpets at the brunch. That's what you get,

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Speaker 1: you know, the pronet because everybody's talking at the brunch.

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Speaker 1: Everybody's talking. Everybody's you know, stuffing in phases and then

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Speaker 1: they hear their littleroop and go hold hold all this ship?

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Speaker 1: Old on? Is that that old school? Oh yeah, yeah, exactly,

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Speaker 1: I'm throwing that her About the rotation, You're like, okay,

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Speaker 1: I see what's going on, right, I'm glad, I'm the

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Speaker 1: most buddies doing well, and you're in Wisconsin and you

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Speaker 1: got cheese and tornadoes and all kinds of stuff hot dogs.

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Speaker 1: Yeah yeah, Okay, Well, let's let's get into the show

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Speaker 1: a little bit. Let's be let's give people a preview

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Speaker 1: of what we're gonna talk about today. First, we're gonna

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Speaker 1: talk about the Capitol Police. They said they will arrest

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Speaker 1: the maskless if you are in the Capitol because Nancy

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Speaker 1: Pelosi is not laying around and you will get arrested,

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Speaker 1: unless you're a member of Congress, in which case we'll

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Speaker 1: see how far she'll take that. We'll also talk about,

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Speaker 1: you know, just kind of checking in with just the

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Speaker 1: sort of mass exodus from a lot of jobs continues,

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Speaker 1: where like, while a lot of business owners like there's

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Speaker 1: a labor shortage, it seems like more and more than anything,

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Speaker 1: we are starting to see things begin to sort of

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Speaker 1: realign or at least people take you know, the the

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Speaker 1: power into their own hands to decide how they want

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Speaker 1: to work. Uh. Then we'll talk about Trump unfortunately, because

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Speaker 1: you know, he's been he's been saying he's a kingmaker.

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Speaker 1: You know, all the Republicans are like, I mean, what

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Speaker 1: his word is gold, and whatever he says is the

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Speaker 1: truth is the gospel. And he's been picking some losers

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Speaker 1: recently in some special elections. So we'll check in on

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Speaker 1: his kingmaking ability and his decision making ability not great.

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Speaker 1: We'll also to check in with the Tokyo ship show

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Speaker 1: ak the Olympics, and we'll talk about the jewel heights today.

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Speaker 1: Cheese kurds watching badminton. Yeah, look at your little miss

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Speaker 1: Mussett eating your curdsin way. And then we'll talk about

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Speaker 1: a jewel heist in Paris that somehow involves John Claude

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Speaker 1: van Dam and it's it's very silly, but just kind

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Speaker 1: of funny to me because I didn't realize Jean Claude

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Speaker 1: van Dam was just so fucking popular still. But first, Carl,

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Speaker 1: we want to ask you, our guests, what is something

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Speaker 1: from your search history that's you know, like revealing, you know,

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Speaker 1: just reveals something about who you are, where you are,

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Speaker 1: what you're up. All right, looked at my Google and

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Speaker 1: this thing I saw that y'all would like to hear

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Speaker 1: about this chop beef. I Google chopped beef. Why because

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Speaker 1: I was at Denny's last night with a buddy. Uh

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Speaker 1: shout out Chenna do Unaka and and uh, I was

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Speaker 1: at I was at Denny's with Jenna Do and I

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Speaker 1: wanted to get that. I was like, you know, I

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Speaker 1: never ordered chicken fried steak. And then I looked to

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Speaker 1: see how they prepared it, and and they said chopp

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Speaker 1: be I was like chopped beef. I feel like chopped

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Speaker 1: beef when they say it like that, it's just hamburger me.

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Speaker 1: And I'm not trying to need a chicken fried hamburger.

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Speaker 1: And so I google what chopped beef was as opposed

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Speaker 1: to cube steak, which is just really tenderized steak, which

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Speaker 1: which looks like it could be hamburger patty, but it's not.

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Speaker 1: Cubes just smashed the ship exactly. And uh, there were

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Speaker 1: two different things. So I didn't order that. I got

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Speaker 1: the grand slang, which isn't chopped beef like brisket. It

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Speaker 1: could be there. So there is a chopping brisket. Yeah,

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Speaker 1: when you'll see chopp beef, it'll be like a chopped

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Speaker 1: up brisket type situation which you will put in a

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Speaker 1: stew or something like that. But the chopped beef that

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Speaker 1: they had at Denny's was most certainly hamburger meat, ground beef.

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Speaker 1: That's a good. That's a good like scam to just

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Speaker 1: be like chopped beef could be anything and you can't

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Speaker 1: ask for specifics. Yeah, it's like, yeah, what do you say,

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Speaker 1: like its shop beef? Yeah, I know, but it's just

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Speaker 1: can can you tell me what kind of like what

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Speaker 1: part of it is it's chopped? What type of knife

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Speaker 1: did you chop? To ask like what did you chopping? Me? Oh? Man?

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Speaker 1: I was how was it? What was was Denny's packed?

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Speaker 1: How was it in there? Jenny's was not packed? It

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Speaker 1: was pretty empty, so it was safe, you know time, Yeah,

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Speaker 1: it was pretty empty. And my Grand Slam which was

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Speaker 1: kind of cold. My Hash Browns was kind of cold,

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Speaker 1: but I was it was only speaking of labor shortages.

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Speaker 1: There was only one lady working. She was she was

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Speaker 1: in and out, and you know, we didn't we didn't

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Speaker 1: give her those stress. I didn't only ask for two

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Speaker 1: diet cokes, but uh yeah yeah, and it's and it's yeah,

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Speaker 1: well we'll get to that too. The yeah yeah, yeah,

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Speaker 1: yeah I couldn't because I was fading. I was fading

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Speaker 1: for some of that final nine, but uh yeah, I

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Speaker 1: only I only asked for two because I'm like, she's

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Speaker 1: busy even though she only got a couple of takes.

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Speaker 1: It's only a few people in here, but she was

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Speaker 1: the only person working. It felt like a nineteen fifties diner,

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Speaker 1: like pretty help you, but like it was. It was

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Speaker 1: like one person. And I'm like, man, that's crazy. Oh man,

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Speaker 1: what's something that you think is overrated? I'm gonna tell

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Speaker 1: you because I just saw this. I think something that

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Speaker 1: is overrated is people using the word normalized in tweets.

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Speaker 1: I'm sick of that. I just saw one that like

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Speaker 1: normalize buying your plot of land with your friends and

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Speaker 1: raising cattle and raising your kids. And who is who

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Speaker 1: he is saying that that is not normal? Number one?

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Speaker 1: Number two? Why don't you do it? It feels like

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Speaker 1: people say normalize, it'd be stuff that they don't do,

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Speaker 1: like they just want to like not be rid and

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Speaker 1: cure for it. And it's like a leader, don't worry

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Speaker 1: about what other people need to normalize. If you want

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Speaker 1: to buy a plot of land with your friends and

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Speaker 1: raise your families on it like a colt, then do that.

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Speaker 1: Ain't nobody nobody think about you. But it doesn't need

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Speaker 1: to be normal normalize that normalize wearing boot cut jeans

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Speaker 1: with your air max ninety five. Oh my god, no,

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Speaker 1: And that's true, Carl. It sounds like a thing that

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Speaker 1: you get, like people will tease somebody for and then

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Speaker 1: they have to go and be like, we need to

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Speaker 1: normalize picking your nose at Denny's and then putting the

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Speaker 1: boogers all your napkin and then you count them at

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Speaker 1: the end of your meal, just to kind of keep

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Speaker 1: pace with what your booger output is every day. We

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Speaker 1: need a normalize. I'm just saying if I saw it,

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Speaker 1: I wouldn't think it was weird. That's just me. Do

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Speaker 1: you you do? You what other normalizing do we? I

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Speaker 1: always feel like, what are the other ones? You see?

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Speaker 1: It's like normalized, like normalized, like not buying whatever the funk.

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Speaker 1: I don't know, it's just we already we're trying to

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Speaker 1: normalize many things. Or occasionally I feel like it can

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Speaker 1: be used well, but most of the time it's so

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Speaker 1: it's normalized being so sweaty in the summer that people

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Speaker 1: mistake you for gloppy. That's when I didn't support that one, right,

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Speaker 1: I mean yeah, I mean stuff like saying, like, you know,

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Speaker 1: normalize expressing your emotions with your male friends. I get

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Speaker 1: that about mental health, you know, yeah, pushing him back

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Speaker 1: against you know, toxic habits we might have, but like

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Speaker 1: getting into this weird stuff like you know, whatever, normalize

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Speaker 1: filling your hat with beans, going to a show. It's like,

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Speaker 1: I'm just saying, just we shouldn't. We shouldn't really be

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Speaker 1: thumbing our noses at that. Yeah, I guess we'll see

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Speaker 1: any feel He's like, Yeah, let us know if you've

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Speaker 1: seen any good normalization tweets, Like not ones that makes sense,

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Speaker 1: but ones that are like being so sweaty people think

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Speaker 1: you're cloppy? Did Jack tweet that there might be Jack?

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Speaker 1: That might have been the tweet he got canceled over

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Speaker 1: and that's why he's not here today. Yeah. I heard.

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Speaker 1: I'm not on Twitter anymore, but I heard Jack got canceled. Yeah,

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Speaker 1: oh yeah, yeah. Yeah. It's every it's every day. It's

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Speaker 1: every day. He really can't stop talking, you know, I don't.

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Speaker 1: I'm shocked he's still online because he has all those accounts,

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Speaker 1: um own tweets. It's really embarrassing. Yeah, and it's really

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Speaker 1: lame when you see Jack retweeting from the accounts you know,

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Speaker 1: he runs the other ones too, and it's like, come on, Jack,

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Speaker 1: if you ever see Jack tweet and then someone with

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Speaker 1: an egg for an avatar or says, great point Jack,

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Speaker 1: that's also Jack, great, great point great. Yeah. Oh man, Carl,

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Speaker 1: What is something that you think is underrated? Okay? What

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Speaker 1: I think something that I definitely think is underrated is

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Speaker 1: finishing your fries before you get home. We don't talk

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Speaker 1: about it, We don't. We don't talk about it enough.

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Speaker 1: Normalize finishing your fries before you get gonna say it

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Speaker 1: sounds like a good opportunity to normalize something. So what

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Speaker 1: do you mean when you're taking some years, you gotta

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Speaker 1: to go order? Yeah, when you fries to die? Yeah, back, yeah,

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Speaker 1: because they can. Sometimes they hold up, but sometimes they

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Speaker 1: can die. Some fries hold up because it's like I

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Speaker 1: I always like hold a whole, like hold a flame,

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Speaker 1: that my fries are gonna are gonna make it to

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Speaker 1: the next day intact. And it never happened. With the

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Speaker 1: next day you said the next day yeah, no, no, no, no, no, no,

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Speaker 1: fries passed maybe an hour and a half. I take

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Speaker 1: it back here in the choo choo zoned because it's

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Speaker 1: so chewy. But here I'm not gonna liar. I'm also

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Speaker 1: the kind of person who hates wasting food. So if

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Speaker 1: I have a ton of fries, I'll save them and

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Speaker 1: I'll look at him in my refrigerator and I'll say,

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Speaker 1: I'm not gonna eat that. Although sometimes I'll repurpose them

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Speaker 1: in the hash browns, like I put him in the pan.

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Speaker 1: I'll chop them up and then you can yeah, yeah, yeah, yeah,

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Speaker 1: you can use old fries and then you can kind

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Speaker 1: of you can give them new life. Interesting, what is

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Speaker 1: y'all stands on leftovers? Now? This, this, this is what's

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Speaker 1: gonna get me canceled with the with all the food

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Speaker 1: shortages that's going in the world. But I don't do leftovers, man,

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Speaker 1: I can't do them. It's only specific things I can

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Speaker 1: do that. I can eat pizza for three days. Pizza, Yeah,

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Speaker 1: I can do pizza for a long time. Also, the

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Speaker 1: Homie Vivian, she told me how to do pizza, like

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Speaker 1: give pizza new life. Cold pizza's bond. But she told

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Speaker 1: me how to give pizza new life, where you put

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Speaker 1: it in a skillet and put like a spoonful of

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Speaker 1: water in it and then put the top over. And

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Speaker 1: I tried that and I was like, oh damn, that works.

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Speaker 1: It brings it back. It was crazy. Yeah, that's uh.

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Speaker 1: That's a deer leader. Jack's favorite way to bring back

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Speaker 1: his slice too. He's besides the cold guy study in

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Speaker 1: the Havandon syndrome. That's all he talks about is putting

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Speaker 1: a piece of pizza and scale it with a drop

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Speaker 1: of water. Put the lid on for one minute. The

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Speaker 1: bottom is crispy, the top is bubbly, and you're You're

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Speaker 1: right back back in the game. I can't do leftovers.

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Speaker 1: It just pizza. I can do posta too. I could

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Speaker 1: do postive mm hmm. What about Chinese food? Chinese food

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Speaker 1: I can do I guess. I guess I do. Are

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Speaker 1: the ones you don't. I'm gonna do no burger after

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Speaker 1: burgers if I the way I order at a at

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Speaker 1: a restaurant. I also don't like carry if I got

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Speaker 1: somewhere to go after the restaurant, I'm sorry, I'm not

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Speaker 1: gonna carry that ship around. Or I'll take it outside

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Speaker 1: and give it to somebody or something like that. But

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Speaker 1: I'm not gonna take it home. I'm not like, what

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Speaker 1: is it? What is something that I can't do? Anything?

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Speaker 1: Bread involved Honestly, anything bread involved doesn't hold up for me. Yeah. There, yeah,

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Speaker 1: I've definitely normalized bread turning into gloppy gloppy sandwich is

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Speaker 1: for everybody. Uh yeah, I mean I have like the

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Speaker 1: The other version is where I don't like leftover, so

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Speaker 1: I will just kill myself at the table over eating

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Speaker 1: to not leave anything on the plate. Because I also

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Speaker 1: was raised in like a big strong empty plate culture

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Speaker 1: at the end of your meal, even if it was

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Speaker 1: at the cost of like overeating, so I still have

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Speaker 1: that terrible habit to I'm like I can't I'll be like,

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Speaker 1: give me your food too, because we can't disrespect this cook.

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Speaker 1: I'm like dying just eating all this like garnache and parks.

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Speaker 1: I have my first experience eating so much at the

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Speaker 1: at a restaurant that I threw up outside. That's never

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Speaker 1: happened to me before. Like, I was so shocked. I

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Speaker 1: didn't know what to do because it was like, I've

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Speaker 1: never known someone who worked at a restaurant. But but

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Speaker 1: my boyfriend's friend works at a hibachi restaurant in Racing, Wisconsin.

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Speaker 1: So we went and he kept sending out food and

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Speaker 1: it was like I was like, I can't eat anymore.

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Speaker 1: He's like, well, then you're disrespecting my hbachi chef friend.

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Speaker 1: And so we kept eating and then I like when

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Speaker 1: we finished, I like, I just I don't eat that

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Speaker 1: much in a single sitting. And I walked two blocks

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Speaker 1: away by myself and I threw up in a bush.

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Speaker 1: And it was an amazing meal, but it was like

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Speaker 1: it was you out of a bush? Do you normally

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Speaker 1: what you do? Like, what did you say you would

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Speaker 1: quadruple your normal intake for a meal? Quinn toppled it,

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Speaker 1: like how many? How much? How many exponents? What's the

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Speaker 1: exponent on top of you know what you hit? It

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Speaker 1: was like more than twice when I love what I

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Speaker 1: would normally eat at a single meal, And and it

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Speaker 1: was and all the food was good too, So I

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Speaker 1: was like my body was confused because I was eating

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Speaker 1: good stuff but I couldn't have any of more of

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Speaker 1: it in my face. And I was drinking a long

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Speaker 1: Island iced tea and then I just like absolutely spewed

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Speaker 1: into a bush. I love it, Like, don't disrespect the

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Speaker 1: habbacchi chef. He did the little volcano with the onions

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Speaker 1: and everything first he did it was really exciting, but

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Speaker 1: I've never been to Abbai. I gotta go. I gotta

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Speaker 1: go check out Benni Hana. It's the It's was pretty

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Speaker 1: good too. Yeah, I mean it was not bad. I honestly,

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Speaker 1: I get more excited when they do that as stupid

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Speaker 1: as a volcano with the onion and somebody comes a

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Speaker 1: volcano Calif he was like a good one too, so

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Speaker 1: he like he could flip the onion into his hat

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Speaker 1: and then flip it out and then and then did

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Speaker 1: the volcano. It was really exciting. I've noticed on TikTok

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Speaker 1: there's like a huge genre of videos that looks like

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Speaker 1: guys who used to work at Benny Hannah who with

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Speaker 1: like the with many restaurants closing down, they were just

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Speaker 1: making their own habachi content, like in their garage, like

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Speaker 1: they would have a flat top and just show you

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Speaker 1: how to make like fried rice or do different habachi skills.

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Speaker 1: And I don't know that was another form of TikTok spiral.

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Speaker 1: I went down. That's wild. So shout out to all

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Speaker 1: the habbachi chefs out there, We respect you. You gotta

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Speaker 1: get left over habachi. It holds up. I'm gonna go

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Speaker 1: to that bush. Yeah, where was it? A racing again.

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Speaker 1: If you're racing, I'm gonna go to the bar. I'm

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Speaker 1: gonna go to the League of their Own museum and

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Speaker 1: I'm gonna go get some of that. Is there a

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Speaker 1: leg their own museum there? I was thinking the same

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Speaker 1: thing too, like the racing peaches, hold on, is there

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Speaker 1: any League of their Own? Anything in racing? Like acknowledgment?

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Speaker 1: There's people talk about it a lot. I've never seen

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Speaker 1: a public acknowledgement of it, but I'm like, miay, they're

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Speaker 1: still talking about it. They're like, man, remember League of

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Speaker 1: their Own? Like every time I come here, Yeah, my

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Speaker 1: boyfriend's grandma will be like, you know, like League of

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Speaker 1: their Own. I mean, it's like, the thing is great.

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Speaker 1: I don't I'm not. I'm not trying to hate on

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Speaker 1: Racine or their Habaji food. It was my was wrong. Yeah,

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Speaker 1: you you did some kind of MTV the Challenge eating

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Speaker 1: thing and rightfully reached your limit. I was trying to.

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Speaker 1: I was so inspired by I saw Joey Chestnut last

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Speaker 1: month and I was like, I could do that, and

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Speaker 1: then I threw up right away. How many he ate

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Speaker 1: so many seventy six hot dogs miles in ten minutes?

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Speaker 1: No catch up impossible. It was ridiculous. And then I

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00:21:32,760 --> 00:21:34,840
Speaker 1: saw him and then he he It was really exciting.

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Speaker 1: He like kind of like didn't he didn't push past me,

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Speaker 1: but he like moved me aside to go to the

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Speaker 1: bathroom afterwards. It was really exciting. Oh wait, who did

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Speaker 1: Joey Chestnut, Joseph Chestnut, Joseph Christian Chestnut. He pushed my

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Speaker 1: shoulder and said, excuse me, excuse me because he had

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Speaker 1: to go barf out all those hot dogs. Oh my god,

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Speaker 1: you've lived and you've lived quite a life. I know

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Speaker 1: he went to San Jose State University, like where he

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Speaker 1: goes Wikipedia. Those are random facts brought to you by

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00:22:08,400 --> 00:22:11,280
Speaker 1: me googling something right then in there. Okay, let's take

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Speaker 1: a quick break and we'll be back. We'll talk some

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Speaker 1: news after this, and we're back. Let's move on to

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Speaker 1: some news, mostly having to do with Congress. Yes, they

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Speaker 1: might they have some kind of bipartisan deal for the

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Speaker 1: infrastructure that is not going to address any of the

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Speaker 1: you know, pressing climate issues, but we'll get to that

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Speaker 1: at another time. The other thing that's really brewing on

420
00:22:44,640 --> 00:22:47,840
Speaker 1: the hill is COVID. You know, we are still in

421
00:22:47,880 --> 00:22:51,040
Speaker 1: the pandemic despite a lot of you know, a lot

422
00:22:51,080 --> 00:22:53,280
Speaker 1: of the messaging out there that says like everything's fine, nothing,

423
00:22:53,480 --> 00:22:55,560
Speaker 1: nothing's bad, don't worry about it. Just just do whatever

424
00:22:55,560 --> 00:22:57,720
Speaker 1: you gotta do, take your masks off, and just live

425
00:22:57,840 --> 00:23:00,159
Speaker 1: live free. A lot of the guidance has changed over

426
00:23:00,200 --> 00:23:02,879
Speaker 1: the last week as the delta variant is spreading and

427
00:23:03,000 --> 00:23:05,840
Speaker 1: the House, the House of Representatives, they're doing a very

428
00:23:05,960 --> 00:23:09,960
Speaker 1: normal and responsible thing and making everyone mask up indoors

429
00:23:10,040 --> 00:23:13,720
Speaker 1: regardless of vaccination. They say, you know what, man's doesn't

430
00:23:13,720 --> 00:23:15,520
Speaker 1: look like we can we can live that free at

431
00:23:15,560 --> 00:23:18,880
Speaker 1: the moment, So let's actually be safe and responsible. Where

432
00:23:18,920 --> 00:23:21,560
Speaker 1: these masks kicked off a bunch of bs from the right.

433
00:23:22,080 --> 00:23:24,480
Speaker 1: Some we're posting things like this one Congress one was

434
00:23:24,520 --> 00:23:28,600
Speaker 1: like Pelosi is doing a power grab and I follow science,

435
00:23:28,920 --> 00:23:31,440
Speaker 1: not Pelosi. So if you want to do something, come

436
00:23:31,480 --> 00:23:33,920
Speaker 1: and get me and like this like whole menacing like

437
00:23:34,200 --> 00:23:38,520
Speaker 1: look and ship it's so fucking tired. But are they

438
00:23:38,600 --> 00:23:42,679
Speaker 1: like tweeting that or are they like posting menacing up

439
00:23:43,400 --> 00:23:45,760
Speaker 1: angle selfies and saying that, like what do they do?

440
00:23:46,040 --> 00:23:48,160
Speaker 1: It's like, yeah, it's like you know kind of when

441
00:23:48,200 --> 00:23:49,879
Speaker 1: you when you got your eyes low, so you look

442
00:23:49,960 --> 00:23:52,240
Speaker 1: up from your eyebrows and ship you know what I'm

443
00:23:52,280 --> 00:23:55,040
Speaker 1: saying that that's kind of like the the angle they're

444
00:23:55,040 --> 00:23:57,960
Speaker 1: going and they're like do something about it is such

445
00:23:58,080 --> 00:24:02,440
Speaker 1: like you know, steps trying to get attention type tactics

446
00:24:02,600 --> 00:24:05,000
Speaker 1: where it's like I'll break the rules till they noticed me.

447
00:24:06,200 --> 00:24:07,840
Speaker 1: And I think that's kind of what's going on with

448
00:24:08,000 --> 00:24:10,800
Speaker 1: some of these representatives. But the good thing is I

449
00:24:10,880 --> 00:24:14,440
Speaker 1: guess that the Capitol Police are here to you know,

450
00:24:15,200 --> 00:24:17,800
Speaker 1: because we because we love the police. Not They have

451
00:24:17,920 --> 00:24:20,400
Speaker 1: made it clear that they aren't going to tolerate people

452
00:24:20,440 --> 00:24:23,720
Speaker 1: flouting the safety measures just so they can get some headlines.

453
00:24:24,080 --> 00:24:26,680
Speaker 1: They have been instructed. Quote, if a visitor or staff, remember,

454
00:24:26,720 --> 00:24:28,840
Speaker 1: fails to wear a mask after a request is made

455
00:24:28,880 --> 00:24:31,359
Speaker 1: to do so, the visitor or staff shall be denied

456
00:24:31,520 --> 00:24:36,520
Speaker 1: entry and potentially be arrested for unlawful entry if they

457
00:24:36,560 --> 00:24:41,040
Speaker 1: completely refuse. This does not apply to members. So people

458
00:24:41,119 --> 00:24:45,640
Speaker 1: like Lauren bober in Major lea tarnished Gang Green are

459
00:24:45,880 --> 00:24:48,520
Speaker 1: gonna just have to be. They're just gonna do their

460
00:24:48,600 --> 00:24:51,800
Speaker 1: thing and continue to like be He's back and forth

461
00:24:51,880 --> 00:24:55,879
Speaker 1: and in each other's mouths. Can you imagine? I mean

462
00:24:55,920 --> 00:24:58,159
Speaker 1: I feel like that's I'm sure. I feel like it

463
00:24:58,280 --> 00:25:00,639
Speaker 1: might get that petulant, like they're gonna do something like

464
00:25:00,760 --> 00:25:03,560
Speaker 1: they're gonna be like we cough from each other's spaces. Okay,

465
00:25:03,680 --> 00:25:06,200
Speaker 1: this is how I expressed my freedom. I sneeze in

466
00:25:06,280 --> 00:25:10,119
Speaker 1: my colleagues mouth like a like a group on dentist,

467
00:25:10,320 --> 00:25:13,359
Speaker 1: like a group on dentist. Exactly are they getting tested

468
00:25:13,359 --> 00:25:17,800
Speaker 1: at least? I mean, I think some might be, but

469
00:25:17,920 --> 00:25:20,879
Speaker 1: there's right now, there's really no mandate around that. It

470
00:25:21,000 --> 00:25:23,400
Speaker 1: just seems that they were asked people to get vaccinated.

471
00:25:23,440 --> 00:25:26,919
Speaker 1: They're like, then others are like, I have an immune system,

472
00:25:27,000 --> 00:25:28,600
Speaker 1: I don't need to wear a mask. And it's just

473
00:25:28,680 --> 00:25:31,840
Speaker 1: sadly this is where it's going to keep going around

474
00:25:32,000 --> 00:25:35,080
Speaker 1: and around. But the way it's like working is if

475
00:25:35,160 --> 00:25:37,520
Speaker 1: the cops, you know, they see something like a like

476
00:25:37,600 --> 00:25:40,000
Speaker 1: a member not wearing a mask, then what they do

477
00:25:40,119 --> 00:25:42,280
Speaker 1: is they snitched to their superior, who will until the

478
00:25:42,359 --> 00:25:45,560
Speaker 1: sergeant arms and Pelosi and then Nancy Pelosi will then

479
00:25:45,640 --> 00:25:49,400
Speaker 1: figure out what she wants to do. But I don't

480
00:25:49,440 --> 00:25:52,159
Speaker 1: know what. I don't know what she would you know,

481
00:25:52,240 --> 00:25:54,359
Speaker 1: what she's gonna try to do because any again, this

482
00:25:54,520 --> 00:25:57,400
Speaker 1: is just like, the problem with how our Congress works

483
00:25:57,480 --> 00:26:00,119
Speaker 1: is there's just such a fear of the reaction of

484
00:26:00,200 --> 00:26:03,359
Speaker 1: the right that nothing will happen. They do that, then

485
00:26:03,359 --> 00:26:05,520
Speaker 1: they're gonna start saying this is like but then but

486
00:26:05,640 --> 00:26:09,760
Speaker 1: people are still safe, Like what do you care to

487
00:26:10,000 --> 00:26:13,240
Speaker 1: sneeze all over the capital? Cool? Right? Don't act like

488
00:26:13,359 --> 00:26:15,959
Speaker 1: the parent who's afraid of their kids reaction because you're

489
00:26:16,040 --> 00:26:18,159
Speaker 1: you're creating rules like God, but then my kid's not

490
00:26:18,200 --> 00:26:22,400
Speaker 1: gonna like me. They're gonna post about it. Hello, you're

491
00:26:22,440 --> 00:26:26,639
Speaker 1: trying to you're the okay, hey, do what you gotta do,

492
00:26:26,960 --> 00:26:30,440
Speaker 1: do what you gotta do. But yeah, such as the

493
00:26:30,520 --> 00:26:33,800
Speaker 1: state of the pandemic, and yeah, I mean for all

494
00:26:33,920 --> 00:26:37,239
Speaker 1: the talk of Republicans saying like especially in this one

495
00:26:37,320 --> 00:26:39,520
Speaker 1: member who was trying to like be like come and

496
00:26:39,600 --> 00:26:42,280
Speaker 1: get me when she says she believes in science, I'm like,

497
00:26:42,440 --> 00:26:45,399
Speaker 1: what part of science are you believing in exactly? If

498
00:26:45,440 --> 00:26:48,159
Speaker 1: you're saying because the CDC is gonna recommend it, So

499
00:26:48,240 --> 00:26:53,920
Speaker 1: who who is science in this Jesus is science? Yeah?

500
00:26:54,000 --> 00:26:59,560
Speaker 1: Christian science, yea yea yeah Christians. But even feel like

501
00:26:59,640 --> 00:27:03,000
Speaker 1: so just no dinosaurs, no dinosaurs were good. No dinosaurs,

502
00:27:03,040 --> 00:27:08,600
Speaker 1: no doctors. That's it science though I love it then

503
00:27:08,640 --> 00:27:11,280
Speaker 1: like that would make a good T shirt in spite

504
00:27:11,320 --> 00:27:17,040
Speaker 1: of its bad messaging. Doctors, it's a powerful phrase. Or

505
00:27:17,080 --> 00:27:21,200
Speaker 1: it's a dinosaur a dressed as a doctor X to it. Yeah,

506
00:27:21,280 --> 00:27:28,960
Speaker 1: you're like, um, yeah, so again, this is just like

507
00:27:29,080 --> 00:27:32,800
Speaker 1: the biggest pain in the ass to just experience as

508
00:27:32,920 --> 00:27:36,080
Speaker 1: an American when we have so many vaccines that were

509
00:27:36,160 --> 00:27:38,840
Speaker 1: hoarding them and preventing the rest of the world from

510
00:27:38,920 --> 00:27:41,320
Speaker 1: having them, just to try and convince a group of

511
00:27:41,359 --> 00:27:44,600
Speaker 1: people who aren't gonna take it and allow you know,

512
00:27:44,760 --> 00:27:49,240
Speaker 1: these communities that are unvaccinated become like hyper laboratories for

513
00:27:49,400 --> 00:27:54,080
Speaker 1: variant mutation, because shit, I mean, that's another rabbit hole

514
00:27:54,160 --> 00:27:56,320
Speaker 1: we can go down. But I'm not a virologist, so

515
00:27:56,520 --> 00:27:59,480
Speaker 1: I'll just be a podcaster and say it could get scary.

516
00:27:59,640 --> 00:28:02,119
Speaker 1: It's based only think things that mean. I mean, I

517
00:28:02,240 --> 00:28:04,480
Speaker 1: got it. I'm back. I'm back sains March. I got

518
00:28:04,520 --> 00:28:08,520
Speaker 1: it a couple of weeks ago, and I told people like, hey,

519
00:28:09,000 --> 00:28:12,359
Speaker 1: get get the vaccine because I'm over. I'm like, I

520
00:28:12,440 --> 00:28:14,399
Speaker 1: got it. The only thing that hurt was my pocketbook.

521
00:28:15,119 --> 00:28:18,040
Speaker 1: But I'm like, yeah, I lost I lost the job.

522
00:28:18,680 --> 00:28:22,119
Speaker 1: But I was I was shooting something and they had

523
00:28:22,160 --> 00:28:23,920
Speaker 1: to because they said they didn't want vaccinated people on

524
00:28:24,000 --> 00:28:26,240
Speaker 1: that siege. Yeah, yeah, I was shoot, I was shooting

525
00:28:26,280 --> 00:28:32,879
Speaker 1: Christian science movie and uh and when I yeah, I

526
00:28:33,000 --> 00:28:34,560
Speaker 1: told him, I was like, hey, man, I shouldn't come in.

527
00:28:34,640 --> 00:28:36,040
Speaker 1: I have COVID and it was like, oh, you're not

528
00:28:36,080 --> 00:28:40,000
Speaker 1: gonna finish the movie or you're fired. No, no, but no,

529
00:28:40,280 --> 00:28:44,720
Speaker 1: but I uh, I definitely was like, Yo, you should

530
00:28:44,720 --> 00:28:47,840
Speaker 1: get this because I think the fact that I still

531
00:28:47,920 --> 00:28:50,280
Speaker 1: got it after having the vaccine means that this ship

532
00:28:50,400 --> 00:28:53,560
Speaker 1: is strong. Number one, and number two, the fact that

533
00:28:53,680 --> 00:28:58,680
Speaker 1: I'm pretty much like very very very mild symptoms means

534
00:28:58,880 --> 00:29:01,680
Speaker 1: that the vaccine is working at least to ant. But

535
00:29:01,800 --> 00:29:04,640
Speaker 1: they they're there. Takeaway from me getting it was it

536
00:29:05,360 --> 00:29:08,080
Speaker 1: doesn't work, you can still get it. It's like you clown,

537
00:29:08,480 --> 00:29:10,440
Speaker 1: I'm not gonna get it like you get it exactly,

538
00:29:10,800 --> 00:29:13,240
Speaker 1: like you're not in the hospital about it. That's what man.

539
00:29:13,280 --> 00:29:15,600
Speaker 1: I have people in my family like that too, who

540
00:29:15,920 --> 00:29:21,200
Speaker 1: have gotten this ship twice okay and since the beginning

541
00:29:21,240 --> 00:29:25,440
Speaker 1: of and are still on some like not have immunities

542
00:29:25,760 --> 00:29:28,880
Speaker 1: type ship. And I'm like, you are like some people,

543
00:29:28,920 --> 00:29:30,840
Speaker 1: I'm like you are too damn smart for this ship.

544
00:29:31,080 --> 00:29:33,280
Speaker 1: I don't know what the funk you were thinking, but

545
00:29:36,600 --> 00:29:39,080
Speaker 1: this is a familiar refrain I think many people are

546
00:29:39,120 --> 00:29:41,800
Speaker 1: experiencing in the country. We are not alone, no matter

547
00:29:42,520 --> 00:29:46,720
Speaker 1: where you live or what community you're in. So yeah, again,

548
00:29:46,920 --> 00:29:50,200
Speaker 1: this is just the current tug of war on the hill.

549
00:29:50,800 --> 00:29:53,160
Speaker 1: Another thing about COVID, which is interesting because Carl, you're

550
00:29:53,160 --> 00:29:55,160
Speaker 1: talking about how you know your identities and there was

551
00:29:55,200 --> 00:29:58,320
Speaker 1: only one person working. Is this constant sort of screaming

552
00:29:58,320 --> 00:30:03,320
Speaker 1: about a labor shortage. Nobody wants to work because they're

553
00:30:03,400 --> 00:30:08,080
Speaker 1: getting benefits, and they're getting unemployment benefits and they're just

554
00:30:08,400 --> 00:30:12,920
Speaker 1: loafing around. Okay, that's We've all seen the studies that

555
00:30:13,040 --> 00:30:16,320
Speaker 1: say these people are not just collecting a check in

556
00:30:16,440 --> 00:30:20,840
Speaker 1: kicking back. Many people are actually taking advantage of this

557
00:30:21,160 --> 00:30:23,960
Speaker 1: social safety net. The fact that they could have benefits

558
00:30:24,080 --> 00:30:28,040
Speaker 1: means they have they don't have the pressure to take

559
00:30:28,160 --> 00:30:30,680
Speaker 1: just any old job that's going to screw them over

560
00:30:31,080 --> 00:30:34,200
Speaker 1: because they've they're The pandemic has given many people the

561
00:30:34,280 --> 00:30:36,800
Speaker 1: perspective of like what work should look like, or what

562
00:30:36,920 --> 00:30:39,120
Speaker 1: it means to work, or what you deserve to work.

563
00:30:39,640 --> 00:30:43,520
Speaker 1: And because of that, just this trend of people leaving

564
00:30:43,640 --> 00:30:46,880
Speaker 1: their jobs has not stopped, like it's continuing a lot

565
00:30:46,920 --> 00:30:49,160
Speaker 1: of people are just being like, I'm I need to

566
00:30:49,280 --> 00:30:53,440
Speaker 1: find another job, and if and and again, because they

567
00:30:53,520 --> 00:30:57,560
Speaker 1: have the ability, the flexibility with these benefits to just say,

568
00:30:57,680 --> 00:30:59,440
Speaker 1: you know what, you don't need to You don't need

569
00:30:59,440 --> 00:31:01,640
Speaker 1: to actually have a job right now. You can take

570
00:31:01,760 --> 00:31:03,800
Speaker 1: some time to look at what you want to do.

571
00:31:04,560 --> 00:31:07,080
Speaker 1: That is being categorized as a labor shortage. Yeah, I

572
00:31:07,160 --> 00:31:10,280
Speaker 1: think it is like a really it's been interesting to

573
00:31:10,480 --> 00:31:13,680
Speaker 1: kind of watch this developed too, because I feel like

574
00:31:13,720 --> 00:31:15,640
Speaker 1: it kind of like unravels a lot of the like

575
00:31:15,800 --> 00:31:19,480
Speaker 1: bootstrap mentality that most of us are raised with of like,

576
00:31:19,920 --> 00:31:22,520
Speaker 1: well you have to like if you don't have a job,

577
00:31:22,680 --> 00:31:24,960
Speaker 1: even if you hate it, even if you're treated like ship,

578
00:31:25,080 --> 00:31:27,240
Speaker 1: even if you're not given any benefits and you don't

579
00:31:27,400 --> 00:31:30,600
Speaker 1: make enough money to live, like interpreting that as a

580
00:31:30,680 --> 00:31:33,520
Speaker 1: personal failing versus a systemic one. And the past year

581
00:31:33,600 --> 00:31:36,240
Speaker 1: has like just laid that all out if if it

582
00:31:36,400 --> 00:31:39,040
Speaker 1: wasn't something that you had, you know, kind of pieced

583
00:31:39,040 --> 00:31:41,720
Speaker 1: together already that people are just like, well, no, this

584
00:31:41,920 --> 00:31:46,000
Speaker 1: is clearly a systemic failure, and there are already. I mean,

585
00:31:46,120 --> 00:31:48,640
Speaker 1: like there are so few social safety nets as it

586
00:31:48,720 --> 00:31:51,200
Speaker 1: is that it's like, of course people are gonna use

587
00:31:51,320 --> 00:31:55,080
Speaker 1: this like it's that's what it's sucking for. Yeah, I mean,

588
00:31:55,160 --> 00:31:59,640
Speaker 1: anybody you know who has worked retail server job or whatever,

589
00:32:00,040 --> 00:32:04,880
Speaker 1: it's it's bad. The money isn't good. And the sort

590
00:32:04,920 --> 00:32:09,360
Speaker 1: of the constant deferential behavior you have to adopt to

591
00:32:09,440 --> 00:32:12,960
Speaker 1: the customer is will grind your soul down, especially when

592
00:32:12,960 --> 00:32:15,280
Speaker 1: people are screaming in your face about nothing that's not

593
00:32:15,440 --> 00:32:17,520
Speaker 1: your problem and you're just they're trying to do your

594
00:32:17,600 --> 00:32:21,640
Speaker 1: job too, and you know, the we're seeing like this

595
00:32:21,720 --> 00:32:24,360
Speaker 1: sort of there's just two forces, right. There's the business

596
00:32:24,400 --> 00:32:26,840
Speaker 1: owners who are like, where the funk are they at?

597
00:32:26,960 --> 00:32:29,920
Speaker 1: I got my less than fifteen dollars an hour I'm offering,

598
00:32:30,120 --> 00:32:32,720
Speaker 1: and they're not coming back because I'm not I'm not

599
00:32:32,800 --> 00:32:35,760
Speaker 1: going to change my fucking business model and say, oh

600
00:32:35,880 --> 00:32:37,840
Speaker 1: I'm gonna you know what people are asking for a

601
00:32:37,920 --> 00:32:41,720
Speaker 1: living wage, Well that starts to cut down on my profits,

602
00:32:41,760 --> 00:32:44,120
Speaker 1: and I know, and for smaller businesses, that's a that's

603
00:32:44,160 --> 00:32:46,840
Speaker 1: tricky math too, because sometimes you're already dealing with razor

604
00:32:46,880 --> 00:32:50,000
Speaker 1: within margins, which is why I feel like business owners

605
00:32:50,040 --> 00:32:52,880
Speaker 1: too should implore the government to have things like universal

606
00:32:52,960 --> 00:32:55,280
Speaker 1: health care, because that's a cost that would be taken

607
00:32:55,320 --> 00:32:57,920
Speaker 1: off an employer's plate. You know, there's ways that they

608
00:32:57,960 --> 00:33:01,320
Speaker 1: can also participate in, you know, advocating better for everybody.

609
00:33:01,400 --> 00:33:04,360
Speaker 1: But and then on the other side, you have the

610
00:33:04,520 --> 00:33:08,320
Speaker 1: workers who are just saying, like this, we cannot work

611
00:33:08,520 --> 00:33:12,920
Speaker 1: for sub subsistence wages. I can't go to a place

612
00:33:13,000 --> 00:33:15,880
Speaker 1: where this one job isn't going to support me. I

613
00:33:15,960 --> 00:33:18,400
Speaker 1: don't I can't work two and three jobs just to

614
00:33:18,440 --> 00:33:21,240
Speaker 1: be able to have an apartment that's too small and

615
00:33:21,480 --> 00:33:24,880
Speaker 1: barely enough food and have nothing to say. But at

616
00:33:24,880 --> 00:33:26,880
Speaker 1: the end of the day, and really, what this is

617
00:33:26,960 --> 00:33:30,280
Speaker 1: people are just begging for and screaming for is a

618
00:33:30,480 --> 00:33:34,880
Speaker 1: real just like just having a reckoning with what we

619
00:33:35,000 --> 00:33:38,320
Speaker 1: consider like labor, what we consider essential and what that

620
00:33:38,440 --> 00:33:41,000
Speaker 1: means in terms of what you are paid, you know,

621
00:33:41,640 --> 00:33:43,920
Speaker 1: right like if you're if you're working an essential job,

622
00:33:44,000 --> 00:33:46,480
Speaker 1: you should be able to work one job and live

623
00:33:46,680 --> 00:33:49,920
Speaker 1: and have benefits that you can like it that it's

624
00:33:50,040 --> 00:33:54,400
Speaker 1: just it's so obvious, But I really hope that there

625
00:33:54,560 --> 00:33:57,160
Speaker 1: is like some sort of change that's forced here and

626
00:33:57,440 --> 00:34:00,720
Speaker 1: my my fear is that the social safety net will

627
00:34:00,760 --> 00:34:02,800
Speaker 1: just be scaled back so people are forced back in

628
00:34:02,840 --> 00:34:05,520
Speaker 1: their jobs. And they really, really really hope that what

629
00:34:05,680 --> 00:34:09,160
Speaker 1: workers are, you know, organizing or just making individual choices

630
00:34:09,200 --> 00:34:12,280
Speaker 1: to do right now actually does push for better conditions

631
00:34:12,360 --> 00:34:16,600
Speaker 1: and better money. Yeah. Also, Miles, I wanted to, you know,

632
00:34:17,160 --> 00:34:19,560
Speaker 1: give you a shout out because you lost your small business,

633
00:34:19,600 --> 00:34:24,680
Speaker 1: Studio City shoe Buckle Company. Yeah, it was tough. You

634
00:34:24,760 --> 00:34:27,440
Speaker 1: have raised it than Margin's shoe buckles, aren't look I

635
00:34:27,680 --> 00:34:30,719
Speaker 1: Carlin Carls like, it's not gonna work, man, nobody wants

636
00:34:30,719 --> 00:34:32,360
Speaker 1: shoe buckles. And I was like, what then do you know,

637
00:34:32,520 --> 00:34:35,400
Speaker 1: Carl's But listen, it's called Studio City Shoe Buckles. This

638
00:34:35,480 --> 00:34:38,040
Speaker 1: guy SSEs and c has got a literatetive qualities to

639
00:34:38,120 --> 00:34:42,200
Speaker 1: the name. Nobody Nobody, Nobody wears shoe buckles anymore. I

640
00:34:42,239 --> 00:34:44,680
Speaker 1: don't say it wasn't fun to work there. I didn't

641
00:34:44,760 --> 00:34:47,320
Speaker 1: enjoy a second of it. Well, the problem was you

642
00:34:47,400 --> 00:34:50,080
Speaker 1: weren't putting in enough hours to get those our bonuses.

643
00:34:50,120 --> 00:34:51,560
Speaker 1: I told you that would actually get you to that

644
00:34:51,640 --> 00:34:58,279
Speaker 1: fifteen A sort of waves that I promised very easy

645
00:34:58,280 --> 00:35:02,680
Speaker 1: to get, very see to get cod industry. Oh yeah,

646
00:35:02,800 --> 00:35:05,120
Speaker 1: especially when you're trying someone on for shoe buckles, you're

647
00:35:05,280 --> 00:35:08,880
Speaker 1: in coughing trajectory just beneath someone's knees to be like

648
00:35:09,160 --> 00:35:11,120
Speaker 1: what about this and like just talking at you. It

649
00:35:11,160 --> 00:35:14,719
Speaker 1: can be an infection vector. And I apologize that we

650
00:35:14,760 --> 00:35:16,680
Speaker 1: didn't open. We weren't really open for more than a week.

651
00:35:16,760 --> 00:35:20,680
Speaker 1: But yes, Studio Studio City shoe Buckles is no more

652
00:35:21,200 --> 00:35:23,680
Speaker 1: um and I will be back though, worry not, because

653
00:35:23,760 --> 00:35:26,560
Speaker 1: this is America, and I'll find some way to grif

654
00:35:26,760 --> 00:35:29,520
Speaker 1: some money to start another business. But yeah, this like

655
00:35:29,800 --> 00:35:33,839
Speaker 1: essential stuff. It really feels like at a minimum, we could,

656
00:35:33,880 --> 00:35:36,239
Speaker 1: at the very least say, if something is essential, that

657
00:35:36,480 --> 00:35:38,600
Speaker 1: has to be a job, that that can be your

658
00:35:38,640 --> 00:35:42,520
Speaker 1: only job and you can afford to have. You could

659
00:35:42,560 --> 00:35:45,200
Speaker 1: be a single parent and you could have two kids

660
00:35:45,600 --> 00:35:48,440
Speaker 1: and you can still put a roof and mutton food

661
00:35:48,520 --> 00:35:51,879
Speaker 1: and everything and with your one job. But I think

662
00:35:51,920 --> 00:35:54,359
Speaker 1: a lot of it because we've whittled away so many

663
00:35:54,480 --> 00:35:57,239
Speaker 1: social safety nets. It's like, you know, the middle of

664
00:35:57,280 --> 00:35:59,759
Speaker 1: the last century that things that were like used to

665
00:35:59,800 --> 00:36:03,960
Speaker 1: be re like college became cash grabs when like Ronald

666
00:36:04,040 --> 00:36:06,520
Speaker 1: Reagan's like, hey man, like you know, like you can

667
00:36:06,600 --> 00:36:08,840
Speaker 1: kind of start charging people for like you c schools,

668
00:36:09,000 --> 00:36:10,600
Speaker 1: you know what I mean. And that gave all the

669
00:36:10,680 --> 00:36:13,879
Speaker 1: other public schools across the country the idea that, oh, yeah,

670
00:36:13,960 --> 00:36:15,480
Speaker 1: now we can squeeze people for a little bit of

671
00:36:15,520 --> 00:36:17,520
Speaker 1: money here. You know, actually if you cut this part

672
00:36:17,560 --> 00:36:20,279
Speaker 1: back of medical care, you know, they'll pick that up

673
00:36:20,360 --> 00:36:22,400
Speaker 1: and people won't really notice, and you'll actually make a

674
00:36:22,440 --> 00:36:25,040
Speaker 1: lot more money. We've whittled all these things back because

675
00:36:25,040 --> 00:36:27,560
Speaker 1: if you think about it, ask your grandparents if they're

676
00:36:27,560 --> 00:36:31,080
Speaker 1: still with us, or your parents people had you could

677
00:36:31,120 --> 00:36:35,160
Speaker 1: have been a custodian and supported an entire family just

678
00:36:35,239 --> 00:36:37,439
Speaker 1: being a custodian because there were another there were enough

679
00:36:37,560 --> 00:36:41,880
Speaker 1: and had retirement money like yeah, yeah, And it's a

680
00:36:41,960 --> 00:36:44,839
Speaker 1: completely different era now and now we're looking at things

681
00:36:44,920 --> 00:36:47,799
Speaker 1: like that and just saying like oh essential that means

682
00:36:47,920 --> 00:36:50,920
Speaker 1: essentially you're fucked. That's pretty much what it means now.

683
00:36:51,000 --> 00:36:53,839
Speaker 1: And I think maybe someone will clap for you as

684
00:36:53,880 --> 00:36:55,920
Speaker 1: you pass to go to your job where you're not

685
00:36:56,000 --> 00:36:59,640
Speaker 1: paid enough to live. Yeah, Like businesses should be like hey,

686
00:36:59,640 --> 00:37:02,200
Speaker 1: if you through with your like essential worker thing, like

687
00:37:02,360 --> 00:37:05,000
Speaker 1: you drink for free, you know what I mean, Like

688
00:37:05,120 --> 00:37:09,680
Speaker 1: you eat for free, like I feel like, but these

689
00:37:09,719 --> 00:37:13,680
Speaker 1: are these are the the situation or in everybody go

690
00:37:13,800 --> 00:37:17,239
Speaker 1: outside and bang your pots to eight o'clock. Yeah yeah,

691
00:37:18,160 --> 00:37:20,040
Speaker 1: like when well, no, I think these people would just

692
00:37:20,200 --> 00:37:23,279
Speaker 1: rather have like the healthcare paid for and like adequate childcare. No, no,

693
00:37:23,400 --> 00:37:34,040
Speaker 1: I'm gonna like fuck so again this realignment or hopefully

694
00:37:34,120 --> 00:37:36,040
Speaker 1: there'll be some kind of realignment in terms of what

695
00:37:36,160 --> 00:37:39,879
Speaker 1: we're calling labor these days. But you know, as things

696
00:37:39,960 --> 00:37:42,759
Speaker 1: get closer, you know, unemployment benefits are due to be

697
00:37:43,360 --> 00:37:46,480
Speaker 1: cut off fairly soon, and that's gonna put about forty

698
00:37:46,520 --> 00:37:49,200
Speaker 1: million people under some more pressure and we'll see what

699
00:37:49,280 --> 00:37:51,960
Speaker 1: happens then. And you know, I think a lot of organizations,

700
00:37:52,120 --> 00:37:55,000
Speaker 1: especially around labor or talking about like we need real

701
00:37:55,239 --> 00:37:58,799
Speaker 1: organized labor strikes, like we really need to be able

702
00:37:58,840 --> 00:38:01,200
Speaker 1: to organize around that to try and create some pressure

703
00:38:01,600 --> 00:38:04,440
Speaker 1: and put that on the business owning community and our

704
00:38:04,480 --> 00:38:09,719
Speaker 1: representatives and government to realize fuck like it's it's it's yeah,

705
00:38:09,719 --> 00:38:11,560
Speaker 1: I guess it's that bad, but I don't know from

706
00:38:11,600 --> 00:38:14,319
Speaker 1: my perspective as a millionaire in Congress, it's hard to see.

707
00:38:15,080 --> 00:38:17,279
Speaker 1: All right, Well, let's let's pivot off of that and

708
00:38:17,360 --> 00:38:19,239
Speaker 1: go to a break and we'll be right back after

709
00:38:19,360 --> 00:38:32,719
Speaker 1: this to talk about Trump's Kingmaking Street. And we're back.

710
00:38:33,080 --> 00:38:36,400
Speaker 1: So Donald Trump, he he put his weight behind a

711
00:38:36,480 --> 00:38:39,600
Speaker 1: candidate in a special election that was happening in Texas

712
00:38:39,680 --> 00:38:42,560
Speaker 1: earlier this week. This woman Susan Right, who was the

713
00:38:43,160 --> 00:38:45,759
Speaker 1: the widow of the late Ron Right who passed away

714
00:38:45,800 --> 00:38:47,960
Speaker 1: from COVID. So this was like, just it was a

715
00:38:48,040 --> 00:38:51,399
Speaker 1: Republican seat. There was a primary going on and there

716
00:38:51,520 --> 00:38:54,680
Speaker 1: was two candidates, Susan Wright and Jake Elz. Trump was like,

717
00:38:54,800 --> 00:38:58,120
Speaker 1: I'm all for Susan Right. And guess what she lost?

718
00:38:58,800 --> 00:39:02,799
Speaker 1: And guess what Trump said, he actually won that one,

719
00:39:03,000 --> 00:39:05,560
Speaker 1: because he said this is from Axios quote. He also

720
00:39:05,600 --> 00:39:08,880
Speaker 1: said that he actually won because Wright had bested Elsie

721
00:39:08,960 --> 00:39:11,800
Speaker 1: in the initial primary and the runoff came down to

722
00:39:11,960 --> 00:39:15,480
Speaker 1: two Republicans. He liked his quote is I think this

723
00:39:15,560 --> 00:39:18,120
Speaker 1: is the only race we've lost together, Trump said of

724
00:39:18,200 --> 00:39:21,120
Speaker 1: Macintosh and the Club of Club for Growth, before catching

725
00:39:21,200 --> 00:39:24,560
Speaker 1: himself mid sentence on the word lost. This is the

726
00:39:24,600 --> 00:39:27,800
Speaker 1: only race we've This is not a loss. Again, I

727
00:39:27,920 --> 00:39:30,800
Speaker 1: don't want to claim that as a loss. This was

728
00:39:30,840 --> 00:39:32,719
Speaker 1: a win. The big thing is we had two very

729
00:39:32,760 --> 00:39:36,160
Speaker 1: good people running that we're both Republicans. That was the win.

730
00:39:37,120 --> 00:39:42,000
Speaker 1: He if he can seede, if he can seede three

731
00:39:42,080 --> 00:39:45,759
Speaker 1: losses in his lifetime, he does explode. So there is

732
00:39:45,800 --> 00:39:49,279
Speaker 1: a reason that he's not doing. Yeah, his his head

733
00:39:49,320 --> 00:39:52,359
Speaker 1: explode into a cloud of blood. If that happens. God,

734
00:39:54,000 --> 00:39:56,839
Speaker 1: that's so embarrassing. The best part, though, is the Club

735
00:39:56,960 --> 00:39:59,880
Speaker 1: for Growth straight played his ass to get him to

736
00:40:00,040 --> 00:40:02,840
Speaker 1: back this candidate, because they just were like, dude, this

737
00:40:02,920 --> 00:40:05,239
Speaker 1: dude so petty, Like we can just say three things

738
00:40:05,280 --> 00:40:07,839
Speaker 1: about the other person to make him put his weight

739
00:40:07,960 --> 00:40:11,040
Speaker 1: behind this other candidate. They said, oh, you know, uh,

740
00:40:11,160 --> 00:40:14,720
Speaker 1: Bill Elsie, he said he won't join the Freedom Caucus,

741
00:40:15,120 --> 00:40:17,239
Speaker 1: So he's not really that trumpy if if it comes

742
00:40:17,280 --> 00:40:19,560
Speaker 1: down to it. Also, you know Bill Crystal, that Republican

743
00:40:19,600 --> 00:40:21,640
Speaker 1: who's also giving you trouble all the time, who's like

744
00:40:21,680 --> 00:40:24,400
Speaker 1: saying you're not a conservative. He gave him money that

745
00:40:24,520 --> 00:40:26,960
Speaker 1: one time. That's your enemy, right, like talking to him

746
00:40:27,000 --> 00:40:30,439
Speaker 1: like that, and he's like, oh, okay, yeah, so fuck him. Yeah,

747
00:40:30,480 --> 00:40:33,239
Speaker 1: we're going to Susan right. And so he went all

748
00:40:33,360 --> 00:40:37,520
Speaker 1: in on Susan right and lost. Ha ha ha. So

749
00:40:37,640 --> 00:40:40,040
Speaker 1: this is just a very interesting moment for Trump because

750
00:40:40,400 --> 00:40:43,120
Speaker 1: he's looking at all kinds of legal exposure just as

751
00:40:43,160 --> 00:40:45,680
Speaker 1: a private citizen. And he's also you know that came

752
00:40:45,680 --> 00:40:47,600
Speaker 1: out there. He's been using all that money that he

753
00:40:47,680 --> 00:40:50,000
Speaker 1: grifted after the election when he was sending those emails,

754
00:40:50,000 --> 00:40:51,279
Speaker 1: He's like, I need you all to give me your

755
00:40:51,320 --> 00:40:54,240
Speaker 1: money so we can protect this election. He's been spending

756
00:40:54,280 --> 00:40:58,799
Speaker 1: that ship on his own expenses. Huh, taco bowls, even

757
00:40:58,840 --> 00:41:03,720
Speaker 1: spending on tago bows. O. Wait, taco ball Okay, taco

758
00:41:03,840 --> 00:41:11,400
Speaker 1: balls leftovers, yes or no? No, Okay, all right, but

759
00:41:11,480 --> 00:41:13,959
Speaker 1: it's different. Look, it's it's all context for different people.

760
00:41:14,040 --> 00:41:17,560
Speaker 1: Like I would probably dump the context the contents out

761
00:41:17,600 --> 00:41:20,360
Speaker 1: of the taco ball because I'm not gonna lie. You know,

762
00:41:21,040 --> 00:41:23,719
Speaker 1: out in the humidity of a taco shell can just

763
00:41:23,800 --> 00:41:27,480
Speaker 1: turned up like the worst kind of it's true texture. Yeah,

764
00:41:27,800 --> 00:41:30,080
Speaker 1: but you know it's weird. Even though I say that,

765
00:41:30,239 --> 00:41:35,160
Speaker 1: I've had some trash leftover, like scrape together meals, so

766
00:41:35,360 --> 00:41:38,640
Speaker 1: I don't really have Yeah, I'll eat it. I'll eat

767
00:41:38,680 --> 00:41:40,359
Speaker 1: old fries. I don't give a ship. I'll pull fries

768
00:41:40,400 --> 00:41:43,279
Speaker 1: out the trash. I'm enough, I could do it. I

769
00:41:43,360 --> 00:41:46,520
Speaker 1: could do a burrito bowl if I didn't eat the

770
00:41:46,520 --> 00:41:50,120
Speaker 1: whole thing. I will say taco bells, soft tacos after

771
00:41:50,600 --> 00:41:54,680
Speaker 1: after two hours? Can you do that? Yes, I don't

772
00:41:54,719 --> 00:41:56,719
Speaker 1: know if I can't. I feel like I've been on

773
00:41:56,760 --> 00:41:59,080
Speaker 1: a set where there was like old taco bell and

774
00:41:59,400 --> 00:42:02,360
Speaker 1: warm one. Yeah. Yeah, I'm like sucking whatever, let's do it.

775
00:42:02,440 --> 00:42:04,080
Speaker 1: I can't do the crunchy ones, but I can do

776
00:42:04,200 --> 00:42:08,160
Speaker 1: the soft yeah, because again, a soft crunchy show, it's

777
00:42:08,239 --> 00:42:11,520
Speaker 1: just and also like that, and you know, get to

778
00:42:11,600 --> 00:42:15,719
Speaker 1: get back on the leftover thing, like old burrito. Sometimes

779
00:42:16,280 --> 00:42:20,480
Speaker 1: the burrito becomes so saturated with like moisture that it

780
00:42:20,600 --> 00:42:24,480
Speaker 1: becomes a whole other texture. And yeah, it's hard, and

781
00:42:24,640 --> 00:42:26,800
Speaker 1: sometimes I'll just dump the contents out. I just be

782
00:42:26,880 --> 00:42:29,880
Speaker 1: like it. But as Trump says, that's Trump says, for

783
00:42:29,960 --> 00:42:36,040
Speaker 1: a fresh taco, old brito, I gotta come, I've gotta come.

784
00:42:36,920 --> 00:42:39,399
Speaker 1: I get it. You're gonna love it. So this man

785
00:42:39,920 --> 00:42:43,320
Speaker 1: is really slipping in his with it in terms of

786
00:42:43,400 --> 00:42:45,720
Speaker 1: his grip on the party because everyone was so afraid

787
00:42:45,800 --> 00:42:48,360
Speaker 1: of like, well, whoever he picks is gonna win, because

788
00:42:48,480 --> 00:42:50,920
Speaker 1: his word is the thing that will make all of

789
00:42:50,960 --> 00:42:53,800
Speaker 1: the boys come to the yard. It's like Calie's milkshake, Okay,

790
00:42:53,880 --> 00:42:56,120
Speaker 1: and That's what we're all trying to figure out, is

791
00:42:56,239 --> 00:42:59,120
Speaker 1: it's still powerful, and it doesn't seem like it is.

792
00:42:59,520 --> 00:43:01,719
Speaker 1: And his lack of being able to pick winners is

793
00:43:01,760 --> 00:43:04,840
Speaker 1: becoming a problem for Republicans like Mitch McConnell is pissed

794
00:43:04,920 --> 00:43:08,560
Speaker 1: because at the very least this turtle goblin turkey neck

795
00:43:08,640 --> 00:43:12,600
Speaker 1: full is saying like he knows you need candidates that

796
00:43:12,760 --> 00:43:16,840
Speaker 1: are likable, intellectable to get them into the Senate to

797
00:43:17,000 --> 00:43:20,640
Speaker 1: keep your majority. That's just like a basic rule. Whereas Trump,

798
00:43:21,440 --> 00:43:24,080
Speaker 1: he's like he's picking people based off his like fun

799
00:43:24,200 --> 00:43:27,520
Speaker 1: house mirror of a brain and how he thinks election works.

800
00:43:27,680 --> 00:43:32,680
Speaker 1: For example, he wants herschel Walker, the former football player,

801
00:43:33,120 --> 00:43:38,240
Speaker 1: to run first Senate in Georgia against Raphael Warnock. Herschel

802
00:43:38,239 --> 00:43:41,640
Speaker 1: Walker lives in Texas for starters, and he's also facing

803
00:43:41,719 --> 00:43:46,000
Speaker 1: like really dark, grim allegations about spousal abuse, like putting

804
00:43:46,040 --> 00:43:48,200
Speaker 1: guns to like his wife's head and things like that.

805
00:43:48,880 --> 00:43:51,239
Speaker 1: It's yeah, like there's a lot to be like, Oh,

806
00:43:51,600 --> 00:43:54,320
Speaker 1: this is not somebody you want to run. But Trump again,

807
00:43:54,760 --> 00:43:58,800
Speaker 1: his logic is if there's a black man incumbent that

808
00:43:58,920 --> 00:44:01,680
Speaker 1: needs to be defeated, then he wants a big buff

809
00:44:01,800 --> 00:44:04,759
Speaker 1: football black man to go against him. And that's like

810
00:44:04,840 --> 00:44:07,400
Speaker 1: sort of his very superficial logic, like that's how we're

811
00:44:07,400 --> 00:44:10,680
Speaker 1: gonna win. Herschel Walker. He's stronger and like it's not

812
00:44:10,760 --> 00:44:12,800
Speaker 1: a it's not a man didn't go fight. Like what

813
00:44:13,400 --> 00:44:16,080
Speaker 1: he thinks that herschel Walker played football at Georgia, so

814
00:44:16,160 --> 00:44:18,840
Speaker 1: he thinks that he has like a lot of But

815
00:44:19,200 --> 00:44:21,960
Speaker 1: that's been so long ago. The young voters don't know

816
00:44:22,000 --> 00:44:26,600
Speaker 1: who the funk herschel Walker is. Herschel Walker played. Herschel

817
00:44:26,600 --> 00:44:30,120
Speaker 1: Walker played for University Georgian nineteen eighty. We wasn't even born.

818
00:44:31,280 --> 00:44:34,560
Speaker 1: We were like people in their mid thirties were not

819
00:44:34,719 --> 00:44:38,200
Speaker 1: born when herschel Walker was playing football at the University

820
00:44:38,239 --> 00:44:40,680
Speaker 1: of Georgia. But see, you know, Donald Trump and herschel

821
00:44:40,719 --> 00:44:43,920
Speaker 1: Walker go way back to the USFL because he signed

822
00:44:44,200 --> 00:44:48,560
Speaker 1: with the New Jersey New Jersey Generals. That was like

823
00:44:48,640 --> 00:44:50,680
Speaker 1: his first big signing. He got a million dollar contract

824
00:44:50,760 --> 00:44:53,480
Speaker 1: with them, and so that's why they're like friends. And

825
00:44:53,600 --> 00:44:56,600
Speaker 1: then of recent I watched the documentary on hershel Walker.

826
00:44:57,200 --> 00:44:59,080
Speaker 1: If I turned up missing, y'all know herschel did it

827
00:44:59,120 --> 00:45:01,200
Speaker 1: because he'd be listening to this podcast. I heard he's

828
00:45:01,200 --> 00:45:03,120
Speaker 1: a big fan of He gets his shoe buckles done

829
00:45:03,160 --> 00:45:05,680
Speaker 1: that Studio City shoe buck He's a big fan of

830
00:45:05,800 --> 00:45:09,680
Speaker 1: Jack's tweets. He so he probably is listening to this

831
00:45:09,840 --> 00:45:12,520
Speaker 1: right now. And I think young people all they gotta

832
00:45:12,560 --> 00:45:15,120
Speaker 1: do is watch herschel Walker's a football life and they're

833
00:45:15,120 --> 00:45:17,360
Speaker 1: not gonna vote for Do you think he's got like

834
00:45:17,400 --> 00:45:19,640
Speaker 1: a like ct. I think that. I think he's had

835
00:45:19,680 --> 00:45:21,120
Speaker 1: that for a long time. But he also just talked

836
00:45:21,120 --> 00:45:26,000
Speaker 1: about how his whole life he's just had anger problems

837
00:45:26,080 --> 00:45:28,279
Speaker 1: and his securities. I mean, this sounds right because the

838
00:45:28,400 --> 00:45:30,759
Speaker 1: things are that he was putting a gun to his

839
00:45:31,000 --> 00:45:33,480
Speaker 1: ex wife's head. Blow your brains out. The dude was

840
00:45:33,520 --> 00:45:35,640
Speaker 1: like when I was thirteen, I used to do one

841
00:45:35,760 --> 00:45:39,840
Speaker 1: thousand push ups every day and because they called me

842
00:45:40,080 --> 00:45:42,279
Speaker 1: because they called me fat at school and I said,

843
00:45:42,320 --> 00:45:44,080
Speaker 1: oh man, they called me fat at school and all

844
00:45:44,120 --> 00:45:50,439
Speaker 1: I did was get fatter. And then that'll show you, yeah,

845
00:45:51,960 --> 00:45:57,080
Speaker 1: that that's sinister. Yeah, so this sounds I mean. And

846
00:45:57,120 --> 00:46:00,600
Speaker 1: then another another candidate is in Arizona. All the Republicans

847
00:46:00,640 --> 00:46:03,680
Speaker 1: are like, please have Doug Doocey the governor run. He

848
00:46:03,960 --> 00:46:06,640
Speaker 1: is the most electable Republican in the state, and that's

849
00:46:06,680 --> 00:46:09,160
Speaker 1: how we can get this sentence seat. Trump is just

850
00:46:09,320 --> 00:46:11,880
Speaker 1: like he can't get over the fact that you know,

851
00:46:12,200 --> 00:46:15,000
Speaker 1: he needed he wanted Doug Doocy to really overturn the

852
00:46:15,080 --> 00:46:19,000
Speaker 1: election results in Arizona because they were quote unquote close

853
00:46:19,160 --> 00:46:22,640
Speaker 1: spoiler alert third they weren't there not And he just

854
00:46:22,719 --> 00:46:26,320
Speaker 1: won't get over that. So he's like, no, Deucey's Doucey's

855
00:46:26,360 --> 00:46:28,480
Speaker 1: dead to me, It's going to be someone else. And

856
00:46:28,640 --> 00:46:31,960
Speaker 1: everyone's like, fuck, dude, like this this guy doesn't even

857
00:46:32,000 --> 00:46:35,080
Speaker 1: know how to pick like with like properly. He's just

858
00:46:35,239 --> 00:46:38,040
Speaker 1: in his bag all the time. And so now people

859
00:46:38,120 --> 00:46:41,439
Speaker 1: are very very concerned. This is from Politico, just talking

860
00:46:41,480 --> 00:46:44,399
Speaker 1: about like what they see as happening with Trump. They said, quote.

861
00:46:44,400 --> 00:46:47,160
Speaker 1: Some Republicans contend that Tuesday's lass highlights at the trend

862
00:46:47,200 --> 00:46:50,000
Speaker 1: and Trump's post presidency, his endorsement doesn't carry as much

863
00:46:50,080 --> 00:46:52,799
Speaker 1: weight as when he was in office. After being kicked

864
00:46:52,880 --> 00:46:55,680
Speaker 1: off social media platforms like Twitter and Facebook, Trump has

865
00:46:55,719 --> 00:46:59,280
Speaker 1: been forced to promote his endorsement largely through email blasts.

866
00:46:59,360 --> 00:47:01,600
Speaker 1: It is that of the candidates and their allies to

867
00:47:01,640 --> 00:47:06,560
Speaker 1: get the word out about his support. I mean come on,

868
00:47:06,760 --> 00:47:09,720
Speaker 1: why is he on TikTok? Can you go live on TikTok?

869
00:47:10,400 --> 00:47:16,320
Speaker 1: Can you go live on TikTok? Oh? No, I'm I

870
00:47:16,360 --> 00:47:18,680
Speaker 1: watched people fishing live on TikTok a lot of times.

871
00:47:19,200 --> 00:47:21,960
Speaker 1: That sounds nice. These people who have like black light

872
00:47:22,160 --> 00:47:24,360
Speaker 1: fishing rods and then they'll put a black because it

873
00:47:24,400 --> 00:47:26,440
Speaker 1: would be dark. So like their fishing rods are going,

874
00:47:26,520 --> 00:47:32,520
Speaker 1: I don't know, normalize, normalized, normal fishing. Come on now,

875
00:47:33,719 --> 00:47:40,120
Speaker 1: but yeah, so it looks like the d platforming love that, yes,

876
00:47:40,560 --> 00:47:43,760
Speaker 1: really quick. I just want to talk about Tokyo. Simone

877
00:47:43,800 --> 00:47:46,480
Speaker 1: Biles obviously had to take care of number one, and

878
00:47:46,840 --> 00:47:49,600
Speaker 1: I just want to point out that her exiting the

879
00:47:49,760 --> 00:47:52,000
Speaker 1: games because she was taking care of her mental health.

880
00:47:52,120 --> 00:47:54,439
Speaker 1: She's like I was getting the twisties, which at every

881
00:47:54,480 --> 00:47:56,680
Speaker 1: other gymnast like oh no, no, no, you don't want

882
00:47:56,760 --> 00:48:00,400
Speaker 1: that please. I didn't know about the twisties before yesterday,

883
00:48:00,480 --> 00:48:04,320
Speaker 1: and I thought it was a horn sight. Yeah, what

884
00:48:04,480 --> 00:48:07,120
Speaker 1: is it? What is It's? So it's this thing like

885
00:48:07,200 --> 00:48:10,360
Speaker 1: where Simone Biles is saying for the degree of difficulty

886
00:48:10,400 --> 00:48:13,200
Speaker 1: in some of her like vaulting skills and other parts,

887
00:48:13,239 --> 00:48:15,520
Speaker 1: like you're doing all these twists in mid air. She

888
00:48:15,600 --> 00:48:17,560
Speaker 1: said she would do two and a half twist and

889
00:48:17,640 --> 00:48:19,960
Speaker 1: by the first one and a half she would lose

890
00:48:20,120 --> 00:48:22,800
Speaker 1: sense of where she was like in midair and what

891
00:48:22,880 --> 00:48:25,520
Speaker 1: her routine is and for how aggressive she comes at

892
00:48:25,760 --> 00:48:30,280
Speaker 1: these events. The potential for injury is really significant, especially

893
00:48:30,320 --> 00:48:32,520
Speaker 1: if you're you know, you're just flinging your body like

894
00:48:32,680 --> 00:48:34,640
Speaker 1: left and right, you come down on your fucking head

895
00:48:34,719 --> 00:48:37,439
Speaker 1: or something. It's it could be terrible. So she was saying,

896
00:48:37,719 --> 00:48:39,360
Speaker 1: that's what they called the twist. Ees's just sort of

897
00:48:39,440 --> 00:48:41,560
Speaker 1: like this thing that happens to you where you're like,

898
00:48:41,800 --> 00:48:44,440
Speaker 1: it's very dangerous. And again that's why every gymnast was like,

899
00:48:45,560 --> 00:48:48,799
Speaker 1: I I get it, Like that's absolutely the reason, even

900
00:48:48,840 --> 00:48:51,239
Speaker 1: though most it's like something that can like it's like

901
00:48:51,280 --> 00:48:53,920
Speaker 1: a mindset that can like get you can get locked

902
00:48:53,960 --> 00:48:56,200
Speaker 1: in for like weeks and months at a time, which

903
00:48:56,239 --> 00:48:58,799
Speaker 1: I didn't realize is a thing where it's just like, yeah,

904
00:48:58,840 --> 00:49:01,560
Speaker 1: it's a mental block that you really like, I just

905
00:49:01,719 --> 00:49:04,640
Speaker 1: need to take time and take care of yourself and

906
00:49:04,719 --> 00:49:08,279
Speaker 1: push through. Didn't. Yeah, like like Gil Hodges, you know

907
00:49:08,360 --> 00:49:10,600
Speaker 1: in the Brooklyn Dodgers, you know, sometimes you can just

908
00:49:10,680 --> 00:49:13,200
Speaker 1: get get something in you and you're not right anymore

909
00:49:13,560 --> 00:49:15,080
Speaker 1: and you just got to kind of find it again.

910
00:49:15,160 --> 00:49:17,279
Speaker 1: Do you ever get podcast twisties where you're just like,

911
00:49:17,360 --> 00:49:19,600
Speaker 1: wait a second, I don't know what the funk I'm

912
00:49:19,680 --> 00:49:23,040
Speaker 1: talking about right now. Every damn I got him when

913
00:49:23,040 --> 00:49:26,000
Speaker 1: you was talking about politics, I don't know. I got

914
00:49:26,080 --> 00:49:30,719
Speaker 1: the twisty when I started talking about I gotta contribute,

915
00:49:30,760 --> 00:49:35,200
Speaker 1: but about the Tago Bulls. Yeah, but Sunny Lee she

916
00:49:35,360 --> 00:49:37,440
Speaker 1: won the women's All Around, so shout out to her

917
00:49:37,640 --> 00:49:40,560
Speaker 1: was like the fifth time in Americans like one like

918
00:49:40,719 --> 00:49:43,600
Speaker 1: fifth consecutive win by an American um in that event.

919
00:49:43,920 --> 00:49:46,360
Speaker 1: But back to the Simone Biles thing. The second she

920
00:49:46,520 --> 00:49:50,840
Speaker 1: was going to exit the Games. Every trade like industry

921
00:49:50,920 --> 00:49:53,640
Speaker 1: trade magazine, and I say this like in in the

922
00:49:54,440 --> 00:49:58,160
Speaker 1: television industry, like things like Deadline, Variety, the Hollywood Reporter.

923
00:49:58,320 --> 00:50:00,520
Speaker 1: These are like the magazines that p who are like

924
00:50:00,640 --> 00:50:03,239
Speaker 1: working at networks and things read every day. That's their news.

925
00:50:03,880 --> 00:50:07,680
Speaker 1: All the headlines were about Simone Biles potentially exiting the Games,

926
00:50:07,760 --> 00:50:09,600
Speaker 1: And when I saw that, I was like, oh, so

927
00:50:09,880 --> 00:50:11,799
Speaker 1: this is I know how they're looking at it. They're

928
00:50:11,800 --> 00:50:15,560
Speaker 1: like ratings, everyone, the ratings. If Simone Biles is not there,

929
00:50:15,880 --> 00:50:18,239
Speaker 1: what are we gonna do? And that's when I was like,

930
00:50:18,360 --> 00:50:21,640
Speaker 1: this is so fucking like it because I'm like, there's

931
00:50:21,640 --> 00:50:23,600
Speaker 1: a lot of headlines about her taking care of herself,

932
00:50:23,640 --> 00:50:26,200
Speaker 1: and I don't think suddenly Hollywood are the biggest mental

933
00:50:26,280 --> 00:50:30,200
Speaker 1: health advocates, so it's got to be about those sweet

934
00:50:30,239 --> 00:50:32,640
Speaker 1: sweet ad dollars diminishing because we know the ratings have

935
00:50:32,680 --> 00:50:34,840
Speaker 1: been terrible. Yeah, and a basketball team is bad, so

936
00:50:35,000 --> 00:50:37,640
Speaker 1: like between the basketball team being bad and small bibles

937
00:50:37,680 --> 00:50:41,640
Speaker 1: backing out, like man, am I watching this ship? Yeah,

938
00:50:41,680 --> 00:50:43,680
Speaker 1: I mean I think I think in general too, just

939
00:50:43,840 --> 00:50:46,000
Speaker 1: the the wind is out of the sales because most

940
00:50:46,040 --> 00:50:48,239
Speaker 1: people are just bummed by the idea that it's still

941
00:50:48,320 --> 00:50:50,720
Speaker 1: happening in the middle of the pandemic in a country

942
00:50:50,800 --> 00:50:55,239
Speaker 1: that is only like vaccinated, and they're breaking bad records,

943
00:50:55,480 --> 00:50:58,640
Speaker 1: like in terms of daily new infections. So it's all

944
00:50:58,840 --> 00:51:01,360
Speaker 1: from top of like how awful of the Olympics are

945
00:51:01,480 --> 00:51:05,200
Speaker 1: for like any community they enter too, So it's just like, yeah,

946
00:51:05,360 --> 00:51:08,279
Speaker 1: just don't just don't fucking do it anymore. But the

947
00:51:08,360 --> 00:51:11,080
Speaker 1: big thing with all the organizers at the Tokyo Olympics

948
00:51:11,120 --> 00:51:13,440
Speaker 1: and the like the government of Tokyo saying like I

949
00:51:13,520 --> 00:51:16,120
Speaker 1: know we've got record cases, but it has nothing to

950
00:51:16,200 --> 00:51:18,600
Speaker 1: do with the Olympics being here. Okay, So like let's

951
00:51:18,640 --> 00:51:21,759
Speaker 1: just try and keep those separate thoughts and let's continue

952
00:51:22,200 --> 00:51:24,880
Speaker 1: just checking out the Olympics. Even though you see on

953
00:51:25,120 --> 00:51:27,000
Speaker 1: some of these events people are coming out in the

954
00:51:27,040 --> 00:51:29,400
Speaker 1: street to like cheer people on in the cycling or

955
00:51:29,800 --> 00:51:32,520
Speaker 1: whatever stuff that they're able to kind of see. But

956
00:51:33,239 --> 00:51:35,600
Speaker 1: despite all that, a lot of the experts are saying,

957
00:51:35,680 --> 00:51:37,759
Speaker 1: like it's more than just like whether or not you

958
00:51:37,800 --> 00:51:40,239
Speaker 1: can prove if the bubble works. It's the idea that

959
00:51:40,360 --> 00:51:43,120
Speaker 1: it's happening and people are watching it on TV, and

960
00:51:43,200 --> 00:51:46,200
Speaker 1: it's that the coverage seems so normal. It's giving people

961
00:51:46,280 --> 00:51:49,680
Speaker 1: a false sense of comfort, especially in Japan, that they're

962
00:51:49,719 --> 00:51:52,919
Speaker 1: not going through a terrible inflection point when it comes

963
00:51:53,000 --> 00:51:57,960
Speaker 1: to new cases. So, uh, yeah, we keep keep your

964
00:51:58,000 --> 00:52:03,600
Speaker 1: eye on that one. No Olympics. Noalympics. I did just

965
00:52:04,000 --> 00:52:06,120
Speaker 1: in one place that the gear is very tight to

966
00:52:06,200 --> 00:52:10,000
Speaker 1: that Nike gear for light is hard. But no Olympics. No,

967
00:52:10,239 --> 00:52:14,000
Speaker 1: it isn't. Carl, No, that is nice, is nice. The

968
00:52:14,080 --> 00:52:18,000
Speaker 1: marketing gut me. But the Olympics though, don't, don't Carl

969
00:52:18,080 --> 00:52:19,960
Speaker 1: is gonna be rocking that, but still be like, oh,

970
00:52:20,080 --> 00:52:26,960
Speaker 1: it's an olympics'na America, just red ex across it, not

971
00:52:28,000 --> 00:52:32,000
Speaker 1: dinosaur doctors, the same as no dinos, no doctors. Oh yeah, well,

972
00:52:32,120 --> 00:52:41,080
Speaker 1: oh ship damn, I'm leaving. I don't know what the

973
00:52:41,120 --> 00:52:44,000
Speaker 1: funk I'm looking at this one shirt is all blacked out. Um.

974
00:52:44,120 --> 00:52:46,919
Speaker 1: But yes, we shall see what happens. I think there's

975
00:52:46,920 --> 00:52:50,320
Speaker 1: already the pole vaulter tested positive. I think was like

976
00:52:50,440 --> 00:52:52,560
Speaker 1: a heavy favorite for the event. So we're already seeing

977
00:52:52,680 --> 00:52:55,920
Speaker 1: that person exit. So we'll see definitely, not like the

978
00:52:56,040 --> 00:52:59,920
Speaker 1: NBA bubble Bryson D. Shambo, Bryce D Shambo, the gall

979
00:53:00,120 --> 00:53:03,279
Speaker 1: for he also tested positive, had to back out. He's

980
00:53:03,280 --> 00:53:09,440
Speaker 1: a big Trump guy. Really, he's Taco bo oh oh

981
00:53:09,520 --> 00:53:13,719
Speaker 1: my god. So yeah, there, we'll, we'll, we'll, we'll see

982
00:53:13,760 --> 00:53:15,960
Speaker 1: what happens. I hope, you know whatever. I don't be

983
00:53:16,000 --> 00:53:18,280
Speaker 1: able to get more people than have to get injured.

984
00:53:18,360 --> 00:53:21,800
Speaker 1: But that's that's the cynicism of trying to force a

985
00:53:21,920 --> 00:53:24,279
Speaker 1: global event in the middle of a pandemic in that

986
00:53:24,360 --> 00:53:27,600
Speaker 1: place that has doesn't have the vaccination rates and that

987
00:53:27,719 --> 00:53:30,359
Speaker 1: it needs because again a lot of countries are hoarding

988
00:53:30,440 --> 00:53:31,880
Speaker 1: them and you have fives are being like, you might

989
00:53:31,920 --> 00:53:34,200
Speaker 1: need a third shot, you know, or fires there might

990
00:53:34,239 --> 00:53:36,839
Speaker 1: need a third check. But we'll see. There's so many

991
00:53:36,920 --> 00:53:40,960
Speaker 1: things happening, which is why it's in the zeitgeist, as

992
00:53:41,000 --> 00:53:43,480
Speaker 1: it were. Okay, before we go, I just want to

993
00:53:43,520 --> 00:53:46,719
Speaker 1: touch on something, just the power of gen Claude van Damn,

994
00:53:47,560 --> 00:53:51,760
Speaker 1: because earlier this week in Paris, a man got away

995
00:53:51,840 --> 00:53:55,600
Speaker 1: with like a pretty brazen robbery at a very famous

996
00:53:55,680 --> 00:53:58,320
Speaker 1: jewelry store. They see the gray haired man who was

997
00:53:58,360 --> 00:54:00,400
Speaker 1: wearing a great student tie, expensive but of shoes and

998
00:54:00,440 --> 00:54:03,040
Speaker 1: a surgical mass to hide his identity, walks into the

999
00:54:03,239 --> 00:54:12,120
Speaker 1: LVMH Chame Jewelry Shop Jewelry jewelry on Tuesday and asked

1000
00:54:12,120 --> 00:54:14,719
Speaker 1: to see several expensive pieces. Police say he had made

1001
00:54:14,760 --> 00:54:17,040
Speaker 1: the appointment day before under a false name, using false

1002
00:54:17,120 --> 00:54:19,239
Speaker 1: documents that proved that he had the funds to pay

1003
00:54:19,320 --> 00:54:21,800
Speaker 1: for more than one million dollars in jewelry, as is

1004
00:54:21,880 --> 00:54:24,080
Speaker 1: required to make an appointment at a place like that.

1005
00:54:24,480 --> 00:54:28,560
Speaker 1: Once the jewels were on the display table, oh oh,

1006
00:54:29,040 --> 00:54:31,799
Speaker 1: you thought it was you thought it was killing Mike

1007
00:54:32,040 --> 00:54:34,880
Speaker 1: because he said, run those fucking jewels. He pulled a

1008
00:54:34,960 --> 00:54:38,040
Speaker 1: gun out and stuffed the gems. Into a grocery bag

1009
00:54:38,200 --> 00:54:42,040
Speaker 1: before swiping the dealer security badge to leave the locked store.

1010
00:54:42,239 --> 00:54:44,359
Speaker 1: He then made off on an electric scooter he had

1011
00:54:44,440 --> 00:54:48,360
Speaker 1: parked outside, easily melding into traffic to make his escape.

1012
00:54:49,120 --> 00:54:51,719
Speaker 1: What's almost like, what the funk happened? This man just

1013
00:54:51,840 --> 00:54:54,440
Speaker 1: casually got on a fucking scooter and zipped off to

1014
00:54:54,560 --> 00:54:58,560
Speaker 1: like meet his other accomplice with millions in jewelry. Well,

1015
00:54:58,640 --> 00:55:03,200
Speaker 1: what the funk happened? Say quote witnesses that an adjacent cafe,

1016
00:55:03,320 --> 00:55:06,120
Speaker 1: who could have helped identify him, were distracted by the

1017
00:55:06,239 --> 00:55:09,320
Speaker 1: presence of actor Geen Claude van dam who had just

1018
00:55:09,640 --> 00:55:23,640
Speaker 1: entered a local optical shows loss. They're like someone that's like, help,

1019
00:55:24,960 --> 00:55:35,279
Speaker 1: I've just been robbed. This. I can't believe it. It

1020
00:55:35,400 --> 00:55:37,799
Speaker 1: feels like a scene in a Geen Claude van Damn movie,

1021
00:55:37,840 --> 00:55:39,440
Speaker 1: where like he would have done something that created a

1022
00:55:39,480 --> 00:55:42,600
Speaker 1: distraction for like the ice to go off. But I'm

1023
00:55:42,680 --> 00:55:46,360
Speaker 1: just I'm just really surprised that he is really turning

1024
00:55:46,480 --> 00:55:50,000
Speaker 1: heads like that in the midst of a bracing jewelry robbery.

1025
00:55:50,080 --> 00:55:52,839
Speaker 1: That like, everyone's like, I mean, how the fund could

1026
00:55:52,840 --> 00:55:55,040
Speaker 1: we have known j C v D was walking together?

1027
00:55:55,160 --> 00:55:57,480
Speaker 1: I think he was getting new lenses in his sunglasses

1028
00:55:57,520 --> 00:56:00,000
Speaker 1: their prescription. I think I think they're persalts that he's wearing,

1029
00:56:00,360 --> 00:56:05,200
Speaker 1: so he's not messing around. But because Paris has like

1030
00:56:05,440 --> 00:56:08,880
Speaker 1: the wild CCTV system, they were able to just very

1031
00:56:08,960 --> 00:56:11,919
Speaker 1: casually track him and they found him at a rest

1032
00:56:11,960 --> 00:56:13,640
Speaker 1: stop where he was trying to get on a bus

1033
00:56:13,719 --> 00:56:17,160
Speaker 1: to Serbia with another accomplice. And they think that he

1034
00:56:17,320 --> 00:56:20,080
Speaker 1: may have unloaded a lot of the jewels, like already

1035
00:56:20,120 --> 00:56:24,560
Speaker 1: sold them before he got on this bus. So and

1036
00:56:24,800 --> 00:56:29,560
Speaker 1: that's why we need our cities to be heavily surveilled exactly.

1037
00:56:31,280 --> 00:56:33,279
Speaker 1: That's why we need a banned Jean Claude van Dam

1038
00:56:33,520 --> 00:56:38,640
Speaker 1: from our streets. Everyone should just get a cardboard cut

1039
00:56:38,680 --> 00:56:40,360
Speaker 1: out of him in case they're ever like caught in

1040
00:56:40,440 --> 00:56:44,000
Speaker 1: a situation. It's just like throw it. I mean, I

1041
00:56:44,160 --> 00:56:46,719
Speaker 1: get it. He's I believe he's from Belgium, right because

1042
00:56:46,719 --> 00:56:49,359
Speaker 1: they call him the Muscles from Brussels back in the day.

1043
00:56:49,800 --> 00:56:52,239
Speaker 1: So yeah, I don't know much about his life. I

1044
00:56:52,360 --> 00:56:54,920
Speaker 1: just know, Hey, eurozit gang, can you tell me? Is

1045
00:56:55,360 --> 00:56:57,320
Speaker 1: is that really a neck breaker? To see j c

1046
00:56:57,480 --> 00:56:59,440
Speaker 1: v D like that? Because I feel like flippant Lee

1047
00:56:59,560 --> 00:57:03,000
Speaker 1: like was they're like an Amazon show that was made

1048
00:57:03,000 --> 00:57:05,040
Speaker 1: about him called j c v D. Like that was

1049
00:57:05,200 --> 00:57:07,560
Speaker 1: very sort of tongue in cheek about like him just

1050
00:57:07,719 --> 00:57:10,480
Speaker 1: being kind of Jean Claude. Yeah, it was his Curb

1051
00:57:10,560 --> 00:57:14,960
Speaker 1: Your Enthusiasm and they played he played a Thame song

1052
00:57:15,000 --> 00:57:19,280
Speaker 1: on the accordion. Yeah, imagine what does that show look

1053
00:57:19,360 --> 00:57:22,560
Speaker 1: like if there was a curb type show but it

1054
00:57:22,600 --> 00:57:25,000
Speaker 1: was about Jean Claude Van Dam's world, that would be

1055
00:57:25,160 --> 00:57:27,920
Speaker 1: so good. What is he like getting mad at like

1056
00:57:28,040 --> 00:57:31,160
Speaker 1: other martial artists who are doing like splits and he's

1057
00:57:31,200 --> 00:57:38,160
Speaker 1: like pretty pretty pretty derivative that I mean, like okay, sir,

1058
00:57:38,880 --> 00:57:41,600
Speaker 1: But anyway, good luck to him and I'd love to

1059
00:57:41,640 --> 00:57:44,480
Speaker 1: see his career keep going on. Well, Carl, thank you

1060
00:57:44,560 --> 00:57:47,320
Speaker 1: so much for coming on the daily. He's like guys

1061
00:57:47,400 --> 00:57:51,080
Speaker 1: today bringing up Taco bowl rules and leftover rules. Where

1062
00:57:51,120 --> 00:57:53,720
Speaker 1: can people find you and follow you? And what's the

1063
00:57:53,760 --> 00:57:55,760
Speaker 1: tweet that you like? You can follow me on Instagram.

1064
00:57:55,800 --> 00:57:57,680
Speaker 1: I'm not on Twitter anymore, but I still I still

1065
00:57:57,800 --> 00:57:59,720
Speaker 1: look around every now and then. I got me a

1066
00:57:59,760 --> 00:58:02,640
Speaker 1: little earner. You'll never find it, you might find, but

1067
00:58:04,040 --> 00:58:06,439
Speaker 1: I saw a tweet. It's very funny to me. Made

1068
00:58:06,440 --> 00:58:08,440
Speaker 1: me laugh quite a bit. I'm not saying that I

1069
00:58:08,520 --> 00:58:10,720
Speaker 1: agree with the sentiment of the tweet, but it was

1070
00:58:10,840 --> 00:58:15,160
Speaker 1: very funny something to say anyway. Uh, this guy Jazz

1071
00:58:15,280 --> 00:58:18,720
Speaker 1: two X said Jeff Bezos took two men with him

1072
00:58:18,760 --> 00:58:20,520
Speaker 1: the space instead of some bitches. And that's all I

1073
00:58:20,560 --> 00:58:30,240
Speaker 1: needed to know. That made me laugh. It's so stupid.

1074
00:58:32,720 --> 00:58:36,120
Speaker 1: What does that avatar look like? It's it's twenty one

1075
00:58:36,160 --> 00:58:47,200
Speaker 1: savage look funny one oh ship. Jamie, thank you so

1076
00:58:47,320 --> 00:58:50,440
Speaker 1: much for helping me host today. Where can people find

1077
00:58:50,560 --> 00:58:53,880
Speaker 1: you and follow you? Listen to you your new just

1078
00:58:54,040 --> 00:58:56,000
Speaker 1: your new materials and what's the tweet that you like?

1079
00:58:56,680 --> 00:58:59,880
Speaker 1: You can find me on Twitter, Jamie Loft's Help and

1080
00:59:00,000 --> 00:59:03,320
Speaker 1: Instagram Jamie christ Superstar. You can listen to me and

1081
00:59:03,720 --> 00:59:08,160
Speaker 1: Miles on act Cast. It's my new podcast where I

1082
00:59:08,240 --> 00:59:11,880
Speaker 1: read every single Cathy comic strip and talk about it.

1083
00:59:12,400 --> 00:59:15,400
Speaker 1: I promise this fun. Uh and Miles plays Irving. So

1084
00:59:15,760 --> 00:59:19,280
Speaker 1: if that doesn't sell you on it, I don't know what. Well.

1085
00:59:19,880 --> 00:59:22,960
Speaker 1: If you're listening to this on Friday, I'm doing a

1086
00:59:23,360 --> 00:59:26,920
Speaker 1: d s A event tonight with a bunch of people

1087
00:59:27,080 --> 00:59:32,040
Speaker 1: I really like, John early Nicks, Arelli, Brad Evans, Cynthia Nixon,

1088
00:59:32,440 --> 00:59:36,560
Speaker 1: et cetera. That is that's going on at eight pm

1089
00:59:36,840 --> 00:59:41,480
Speaker 1: Eastern five Pacific um reposting it everywhere if if you're

1090
00:59:41,520 --> 00:59:45,080
Speaker 1: interested in checking that out and the tweet, I'm going

1091
00:59:45,120 --> 00:59:47,120
Speaker 1: to shout out the glossy tweet. I feel like we

1092
00:59:47,200 --> 00:59:48,560
Speaker 1: got a lot of mileage out of it, and it

1093
00:59:48,600 --> 00:59:51,880
Speaker 1: would be wrong not to shout out normalize being so

1094
00:59:52,000 --> 00:59:54,960
Speaker 1: sweaty in the summer that people mistake you for gloppy.

1095
00:59:55,800 --> 01:00:02,160
Speaker 1: And that's from at two sadding hit is gloppy from

1096
01:00:02,960 --> 01:00:05,800
Speaker 1: candy Land. I gotta show because I was I don't

1097
01:00:05,920 --> 01:00:10,360
Speaker 1: quite remember. Oh yeah, it looks like it looks like

1098
01:00:10,400 --> 01:00:12,440
Speaker 1: the pile of like check him out. He looks like

1099
01:00:13,640 --> 01:00:19,280
Speaker 1: sentient diarrhea. Is that he does chop? That's chopped beatin

1100
01:00:20,640 --> 01:00:29,000
Speaker 1: for gloppy? Wait, that's that's chop Beef's closing gloppy? Uh yeah,

1101
01:00:29,040 --> 01:00:32,479
Speaker 1: Oh it's from candy Land, I guess. So. Yeah, shout

1102
01:00:32,480 --> 01:00:35,200
Speaker 1: out the gloppies out there in the world. You can

1103
01:00:35,280 --> 01:00:37,720
Speaker 1: find me all over the place. First, let me tell

1104
01:00:37,760 --> 01:00:39,560
Speaker 1: you a tweet that I like. First one is from

1105
01:00:39,680 --> 01:00:42,240
Speaker 1: Blair Saki at Blair Saki a tweeted going on a

1106
01:00:42,360 --> 01:00:46,920
Speaker 1: date tomorrow praying all day he doesn't have Twitter that

1107
01:00:47,600 --> 01:00:50,840
Speaker 1: that that tracks um And another one is from at Kenzie.

1108
01:00:51,280 --> 01:00:55,400
Speaker 1: An idiot tweeted today I said I want somebody to

1109
01:00:55,520 --> 01:00:59,320
Speaker 1: care that I hurt to my therapist and she started crying.

1110
01:00:59,520 --> 01:01:04,560
Speaker 1: Is that a out that one just felt? God felt

1111
01:01:04,640 --> 01:01:06,640
Speaker 1: that ship in my bones. My therapists ever started crying.

1112
01:01:06,680 --> 01:01:09,880
Speaker 1: I beat his as if I was. I always I

1113
01:01:10,000 --> 01:01:11,840
Speaker 1: abide by the rule that if you can make your

1114
01:01:11,920 --> 01:01:17,680
Speaker 1: therapist cry, the session is free. Free. Yeah, yeah that's true. Okay,

1115
01:01:18,160 --> 01:01:21,120
Speaker 1: what kind of cry like it does? An empathetic tear

1116
01:01:22,240 --> 01:01:26,720
Speaker 1: like count They have to up they have to feel

1117
01:01:26,720 --> 01:01:29,240
Speaker 1: straight up bad for you. They have to be like, wow,

1118
01:01:29,400 --> 01:01:33,160
Speaker 1: that your life is garbage, I have nothing, or if

1119
01:01:33,200 --> 01:01:36,160
Speaker 1: you can like stump your therapist where they're just like, yeah,

1120
01:01:36,280 --> 01:01:38,680
Speaker 1: that's just a bad situation. I'm like, I'm not giving

1121
01:01:38,720 --> 01:01:40,920
Speaker 1: you a hundred dollars for telling me it's a bad situation.

1122
01:01:41,000 --> 01:01:44,160
Speaker 1: That's why I showed up, right, That's like that was

1123
01:01:44,200 --> 01:01:47,720
Speaker 1: like sort of in the office space where the fucking

1124
01:01:47,840 --> 01:01:49,520
Speaker 1: where he's like going to that therapist and he's like

1125
01:01:49,600 --> 01:01:52,360
Speaker 1: describing like just how fucked up like his he feels

1126
01:01:52,400 --> 01:01:55,320
Speaker 1: like his existence is. And then the therapist, like God,

1127
01:01:55,400 --> 01:02:01,640
Speaker 1: that's messed up, like almost that's free, I think because

1128
01:02:01,640 --> 01:02:04,120
Speaker 1: I KOed you with my life. You can find me

1129
01:02:04,320 --> 01:02:06,640
Speaker 1: at Miles of Gray on Twitter and Instagram. Also the

1130
01:02:06,680 --> 01:02:08,680
Speaker 1: other show for twenty Day Fiance. If you like we

1131
01:02:08,800 --> 01:02:11,080
Speaker 1: do you like ninety day Fiance, You like ninety day Fiance,

1132
01:02:11,280 --> 01:02:13,880
Speaker 1: or we'd for a combination check out the show. Go

1133
01:02:14,000 --> 01:02:16,440
Speaker 1: to Twitch dot tv slash four two zero day Fiance

1134
01:02:16,680 --> 01:02:19,800
Speaker 1: For that one. You can find us at daily Zeitgeist

1135
01:02:19,880 --> 01:02:22,440
Speaker 1: on Twitter, at the Dailies geis on Instagram. We got

1136
01:02:22,520 --> 01:02:24,560
Speaker 1: a website, we got Facebook fan pages. You can go

1137
01:02:24,680 --> 01:02:27,480
Speaker 1: to www dot dailies at guys dot com where we

1138
01:02:27,560 --> 01:02:31,960
Speaker 1: post the episodes and our footnotes. There it is thank you,

1139
01:02:32,640 --> 01:02:34,520
Speaker 1: and you can check out the song we write out

1140
01:02:34,560 --> 01:02:36,080
Speaker 1: on which I will give it a second. But just

1141
01:02:36,120 --> 01:02:37,760
Speaker 1: to remind you, the Dailies, like Guys, is a production

1142
01:02:37,760 --> 01:02:39,600
Speaker 1: of My Heart Radio. So for more podcasts for My

1143
01:02:39,680 --> 01:02:41,960
Speaker 1: Heart Radio, visit the heart Radio app Apple podcast Or

1144
01:02:42,040 --> 01:02:44,280
Speaker 1: have you listen to your favorite shows? What song are

1145
01:02:44,280 --> 01:02:46,960
Speaker 1: we gonna write on on today? You ask, Well, I'm

1146
01:02:47,000 --> 01:02:50,400
Speaker 1: feeling rather old today and I'm really getting in the

1147
01:02:50,520 --> 01:02:54,040
Speaker 1: spirit of listening to some remixes of j Lo's Get Right,

1148
01:02:55,120 --> 01:02:59,600
Speaker 1: because look, but this isn't that song. It's get Right,

1149
01:02:59,720 --> 01:03:02,320
Speaker 1: but like a very I don't know, it feels like

1150
01:03:02,440 --> 01:03:07,160
Speaker 1: a like a like a sexy dinner version remix of

1151
01:03:07,360 --> 01:03:10,000
Speaker 1: get Right, and it's by the artists Ekanie e k

1152
01:03:10,280 --> 01:03:12,560
Speaker 1: A n Y and I believe this remix is available

1153
01:03:12,640 --> 01:03:16,240
Speaker 1: on Spotify. But the Sea Cannies get Right, So check

1154
01:03:16,280 --> 01:03:18,480
Speaker 1: that out. And that's what we're right off. Check back

1155
01:03:18,480 --> 01:03:19,880
Speaker 1: in with us a little bit later. We'll tell you

1156
01:03:19,920 --> 01:03:23,120
Speaker 1: what's trending, and until next time, which will be as

1157
01:03:23,120 --> 01:03:26,240
Speaker 1: an afternoon, and then maybe after that we'll see again soon.

1158
01:03:26,440 --> 01:03:27,560
Speaker 1: All right, bye,