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Speaker 1: Hello the Internet, and welcome to Season one, seventy nine,

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Speaker 1: Episode three of Nice, the production of My Heart Radio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into America's chair consciousness. It's Wednesday, April seventh one. My

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Speaker 1: name is Jack O'Brien, a K. The British Cold Gas Buddy,

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Speaker 1: a K. My pillow, my pillow. Wherever Trump goes, he's

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Speaker 1: gotta go, My pillow, My pillow. White's Up Premacy. That's

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Speaker 1: courtesy of Christie. I'm a Gucci mane both the nickname

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Speaker 1: and uh the my Pillows song, and I'm thrilled to

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

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Speaker 1: grag Y'll been eating long enough, now stop being greedy,

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Speaker 1: just keep a real partner, give to the needy rims.

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Speaker 1: Just touching, so don't make me wait. Funk around and

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Speaker 1: I will bite you snatch the plate. Okay. So that's

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Speaker 1: just a straight up d m X lyric where he's

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Speaker 1: just addressing we all know that song. You know what

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Speaker 1: I mean, he could get that flow, you know he's

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Speaker 1: with that yo. And you know that was Christie saying

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Speaker 1: I was going to try and write a d m

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Speaker 1: X A K A and then I just looked at

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Speaker 1: the lyrics and it already fits the show. So yeah,

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Speaker 1: they have been eating long enough. Now stop being Greek.

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Speaker 1: Give to the need alright. It also like kind of

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Speaker 1: sounds like a weird ol like version of a d

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Speaker 1: m X song because it's about food ribs touching. It

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Speaker 1: will make you wait, Yeah, I mean yeah, whatever, Hey, whatever,

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Speaker 1: h miles. We're thrilled to be joined in our third

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Speaker 1: seat by the hilarious, the talented Carolyn BA what's up here?

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Speaker 1: Just got off my motorcycle as Yeah you did. Yeah

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Speaker 1: that was wild. You just like pulled into the pulled

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Speaker 1: into the frame, tire smoking, Yeah, pulled up in the

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Speaker 1: Suzuki street bike. You know what I mean? Like like

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Speaker 1: a rough rider video. We love it. Yeah, that was

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Speaker 1: me in the video. You're just doing an endo in

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Speaker 1: a chrome hat, chrome helmet. There we go. The atmosphere

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Speaker 1: and some of those early rough Riders videos were so wild,

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Speaker 1: like just forty shirtless dudes, like just like goons, like

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Speaker 1: lifting a TV over their head as a workout. Just

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Speaker 1: there's if you follow that. Um photographer mel Coole meld

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Speaker 1: cole um I was a brilliant photographer and he was

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Speaker 1: he was at the White Plains Hospital the other day

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Speaker 1: where d MX is and he was just like sending

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Speaker 1: up stories. But of all the rough riders that have

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Speaker 1: just like inundated the street, like doing all kinds, just

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Speaker 1: took over and playing his music. But yeah, it's a

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Speaker 1: whole whole thing. Sherilyn. We were going to say what's new,

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Speaker 1: but we this is your first time on the show, so,

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Speaker 1: uh what what's your life story? Give it to us? Right, okay, okay.

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Speaker 1: Born and raised in Orlando, Florida, currently now live in

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Speaker 1: Lost Angeles, California. Um, I like documentaries. I like comedy.

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Speaker 1: There is that's about five seconds. There's an airplane flying

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Speaker 1: over my apartment. Yeah, so you live underneath the flight path. Yeah,

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Speaker 1: it didn't like documentaries. I think we've figured it out. Yeah,

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Speaker 1: so that's what you worked with one of our favorite,

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Speaker 1: one of one of the very phases more Lazy Mo. Yeah.

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Speaker 1: I have been researching on scam Goddess for the past

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Speaker 1: two years, since since the inception of the More Than

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Speaker 1: That and also for people for the Laura the show.

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Speaker 1: You also used to work with her Majesty, our partner,

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Speaker 1: and so you know, that's a very interesting The world

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Speaker 1: is small you know, the world is gets smaller and smaller.

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Speaker 1: It's a little little itty beauty placed. What's up. We

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Speaker 1: were just in Orlando in nineteen in the summer for

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Speaker 1: podcast movement. We unfortunately didn't get to really do much

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Speaker 1: outside of like doing the convention. But I was as

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Speaker 1: a local, like someone who grew up there. What's a

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Speaker 1: thing that you feel that is only in Orlando? Okay,

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Speaker 1: there's this place and there's like a theme and there

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Speaker 1: this guy, well he's not a guy, he's a mouse,

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Speaker 1: and it's so crazy. He has like the biggest hands. Yeah, okay,

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Speaker 1: keep some gloves so you don't have to see it.

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Speaker 1: Keep some gloves, fingernails, fingernails badly burned, super COVID conscious. Okay,

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Speaker 1: something in Orlando that's only in Orlando. Also something that

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Speaker 1: I realized, Like I never had Florida shame until I

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Speaker 1: moved to l A. And I was like, oh Florida,

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Speaker 1: And I'm like, yeah, what's wrong with And you know,

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Speaker 1: you don't realize it's a crazy place until you leave.

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Speaker 1: But it's like but then it's like a bunch of

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Speaker 1: other people who came from other states who think that

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Speaker 1: because they where are you from? Milwaukee? Sorry Montana and

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Speaker 1: you're like white fish Antana. You're like the we're all

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Speaker 1: the white Supremases. Have you ever seen someone eat someone

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Speaker 1: else's face? I don't think so. Yeah, that's true. Was

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Speaker 1: that a Milwaukee reference or a Florida Florida the Zombie? Yeah?

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Speaker 1: There's so many bad sault. But then there was also

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Speaker 1: also Jeffrey Dahmer, who ate a lot of people's faces. Right,

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Speaker 1: Oh yeah, where is he from? Milwaukeehead? Yeah? Yeah, you

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Speaker 1: just nailed going head to head with Milwaukee. That's a

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Speaker 1: battle versus Milwaukee also, Um, but more to say, like

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Speaker 1: what's a food? Because that's the thing. I love food

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Speaker 1: and I always like to hear from people from a locality,

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Speaker 1: like they're like, oh yeah, yeah, when I go home,

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Speaker 1: I have to have this. Okay, there's so much Puerto Rican.

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Speaker 1: I'm Puerto Rican, and there's so much good Puerto Rican

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Speaker 1: and just Caribbean food in general. There it's very hard

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Speaker 1: to find. Um. I'm on like a hunt for good

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Speaker 1: and panadas out here in l A. I recently found

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Speaker 1: a good like Filipino and Panada that was pretty good,

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Speaker 1: but I want like an authentic Puerto Rican and Panada.

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Speaker 1: What about like how's the I know, my fungo place

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Speaker 1: that I go to out here. I'd be curious to

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Speaker 1: get your take on that. Oh yeah, there's like one

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Speaker 1: male fungo place or maybe two in all of l A.

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Speaker 1: And have you had them? How do they? How do

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Speaker 1: they rate? I haven't had one of the place and

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Speaker 1: so embarrassing. I haven't been to my fungos. I think

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Speaker 1: that's it's called the right. And then there's one food

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Speaker 1: truck just called the Rico. I think it's the Ricans

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Speaker 1: Food something like that. Yeah, can I look it up

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Speaker 1: real quick? I want to give them as the first

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Speaker 1: Google result Ricans Food. Yeah, yeah, the Rican's Food. And

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Speaker 1: they have they have really really good like what is

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Speaker 1: my fungo? For the listeners who don't know? Now, you Jack,

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Speaker 1: you know you got the tattoo on your back, You

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Speaker 1: know what I mean? We know? Well for miles then yeah,

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Speaker 1: go is fried plantain kind of like mashed together in

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Speaker 1: this like put like not as not the feeling of

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Speaker 1: a potato. I don't know why I said feeling not

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Speaker 1: the same like density of a like a little denser

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Speaker 1: of than a potato. And it's got like it's formed

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Speaker 1: like a bowl plate thing, I'm not doing it justice.

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Speaker 1: And then it's got like different meats in it, so

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Speaker 1: you can do it. I'm a fungo with pork, I'm

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Speaker 1: a fungo with shrimp. I'm a fungo with just veggies.

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Speaker 1: It's like it's like a mash. It's fried, so it's

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Speaker 1: like not very healthy, but it's so good. And then

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Speaker 1: sometimes you get it with the stew and then the

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Speaker 1: stew will absorb the plantain and it's delicious. Yeah, last

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Speaker 1: time I went to Florida, there was I just forget

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Speaker 1: how many Puerto Ricans are there, and I was shocked

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Speaker 1: to just see all the different options for food. Also,

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Speaker 1: like last time I went to Florida, was um a

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Speaker 1: ship ton of Puerto Ricans have like immigrated to Florida.

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Speaker 1: So it's evolving, right, So we'll bring that love out

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Speaker 1: here because we only have two places. Apparently in one

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Speaker 1: truck is by default the greatest by default. Yeah that's

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Speaker 1: what that's on theirs only, And you can't argue with that. Yeah,

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Speaker 1: nobody can argue or we'll fight you, all right, Sherylyn.

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

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

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Speaker 1: couple of the things we're talking about. We're going to

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Speaker 1: dive into piss bottle nation. That's what we're that's what

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Speaker 1: we are as a as a nation. We're just gonna

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Speaker 1: catch up with the Amazon publicity campaign. They're they're nailing it.

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Speaker 1: As their employees think about unionizing, they are trying to

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Speaker 1: They're they're just kind of panicking a little bit. Yeah,

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Speaker 1: so we'll talk about that. We'll talk about Matt Gets.

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Speaker 1: We'll talk is it Gets or gate Gates? But I

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Speaker 1: don't know. It's weird because there was a triple jumper

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Speaker 1: at my high school with the last name it spelled

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Speaker 1: like that, and everyone hear her name was Gets, but

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Speaker 1: everyone says Gates on the news. Whatever. Yeah, we don't.

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Speaker 1: He doesn't deserve the proper pronunciation. Record. Yeah, we'll talk

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Speaker 1: about something the CDC is calling vaccine theater. We'll talk

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Speaker 1: about what fueled those capital rioters. You're never gonna believe it.

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Speaker 1: The sociologist was surprised, so I guess we should be too. Um,

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Speaker 1: we'll talk about crowds at these Major League Baseball games.

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Speaker 1: We'll say R I, P D. Who answers? We'll talk

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Speaker 1: about Greg Guttfeld's new show on Fox. All of that

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Speaker 1: plenty Moore, But first, Sherylyn, we like to ask our guests,

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Speaker 1: what is something from your search history that's revealing about

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Speaker 1: who you are? My search history? Okay, So honestly, I

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Speaker 1: ever since I started, like a year in working on

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Speaker 1: Scam Goddess, I started using a different web browser and

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Speaker 1: not leaving my search history because I was like, I'm

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Speaker 1: looking up some sketchy stuff all the time. I'm on

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Speaker 1: like all these like FBI just searching the sketchiest things.

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Speaker 1: So but I just got a new phone, so I

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Speaker 1: do have my search history on the phone, and I've

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Speaker 1: been looking into northern Italy, specifically the Piedmont region, because

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Speaker 1: apparently you can buy a house there for like U

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Speaker 1: S dollars and it's like a dope house, Like it's

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Speaker 1: like a call me by your name house. You can

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Speaker 1: get like thirty two hundred square feet. I don't know

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Speaker 1: if it's square feet, I don't know. You can get

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Speaker 1: a big, nice house, and I don't know. I'm just

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Speaker 1: kind of curious. I really love Italy and I'm like

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Speaker 1: I could buy maybe not right now, but at some

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Speaker 1: point if I play my cards, right, I can be

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Speaker 1: a homeowner in Italy. Yeah, whimsical homeowner in you know,

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Speaker 1: what I would say is one of the most magical

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Speaker 1: places on earth. I would have to agree to this day.

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Speaker 1: I long for, you know, to walk the streets of

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Speaker 1: theo in my hand. Uh maybe Porquetta. I don't know,

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Speaker 1: but I long for those days much like many others do.

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Speaker 1: What part of what's the se hair? Miles has been

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Speaker 1: to Italy once. I have been once, and I will

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Speaker 1: make and I am fucked up off of it, still

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Speaker 1: Italian the way you said that, I just like to respect.

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Speaker 1: I like to respect, you know. If I can, if

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Speaker 1: I can put some effort into a pronunciation, I'm gonna

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Speaker 1: do it, you know. Yeah, I appreciate that. I'm not

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Speaker 1: a talent him, but I appreciate it. Yeah. And when

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Speaker 1: I say that, people are like, okay, sir, please, here's

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Speaker 1: your sandwich. Now leave respect. Like, uh, the northern Italy

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Speaker 1: is like very mountainous. It feels like because it's like

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Speaker 1: right next to Switzerland. It feels it feels like you're

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Speaker 1: in Switzerland. Yeah, helps, you got southern France right there.

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Speaker 1: I've never been to well, I've been to like Milan once,

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Speaker 1: but I didn't really get to explore the region. So, m, well,

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Speaker 1: are you going to tell her what how? It's normally

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Speaker 1: said no, no, no no. After after I was mil

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Speaker 1: oh you've been yes? My favorite? Uh the Nero ROSSI

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Speaker 1: A C. Milan team, I love them. I thought you're

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Speaker 1: gonna say your favorite Petrid Pepperidge Farm cookie. Also facts

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Speaker 1: though of my favor are good. That was like the

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Speaker 1: step up from Oreo that my mom wouldn't let me

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Speaker 1: because she liked to eat that with like her coffee,

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Speaker 1: and so I could never touch those. She was like,

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Speaker 1: you can't. Yeah, And when she would like go out,

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Speaker 1: like if she left for a couple of days or something,

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Speaker 1: or even for work, I would eat three and then

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Speaker 1: it would be a whole thing. And for whatever reason,

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Speaker 1: how do you stop at three? Man? Because you know

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Speaker 1: it would be a problem if you could be scared.

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Speaker 1: It was like going into like someone's like weed satchel

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Speaker 1: and they're like, yo, yo, this is a little light.

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Speaker 1: What the funk happened? It's because it comes like don't

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Speaker 1: they come in a little pack of you eat all

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Speaker 1: three and then it's just like one layer disappeared. But

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Speaker 1: it's like maybe she won't notice. I'm trying to eat

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Speaker 1: around the edges of a bag full of Reese's Easter

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Speaker 1: eggs right now without like it being obvious that the

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Speaker 1: bag is entirely gone to my kids. Very sad. What

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Speaker 1: is something you think is overrated? Those mirrors that you

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Speaker 1: can see like every stupid little poor on your stupid

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Speaker 1: little face. I don't think that those are necessary. Who

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Speaker 1: made that? Oh? Like the ones Like it's like one

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Speaker 1: mirror on one side and then you could flip it

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Speaker 1: and it's like, exactly, I don't like that ship it

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Speaker 1: makes me. It makes me. I think it encourages another

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Speaker 1: level of self like superficial analysis or yeah, I'll trying

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Speaker 1: to keep it, you know, neutrals for the moment, and

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Speaker 1: then yes, from there you could be like my poor

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Speaker 1: so big, I might I could dump my Melano cookies

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Speaker 1: and my pores if I wanted to. Exactly, Yeah, my

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Speaker 1: nose is an adventure. There's there's a lot going on

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Speaker 1: there that I had no idea, and it's yeah, and

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Speaker 1: I guess you know, it's interesting. We don't get to

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Speaker 1: see ourselves that close. But maybe it's for a reason.

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Speaker 1: You know, that mirror specifically is you know, and almost

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Speaker 1: mirrors in general. But you know, some mirrors are great

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Speaker 1: for decor and like magic tricks and stuff. But yes,

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Speaker 1: that's the only reason. Yeah. Look, if you're a you know,

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Speaker 1: esthetician or dermatologist, do we need that much fucking zoom

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Speaker 1: on the mirror? I don't. It can just I'm good

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Speaker 1: enough just seeing what. Maybe they should have those. Yeah,

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Speaker 1: if you're doing extractions or whatever and you're doing a facial,

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Speaker 1: didn't like you have toss on the loop or whatever

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Speaker 1: so you can get in there. But I don't, damn sure.

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Speaker 1: Don't need that level of clarity on my own. Yeah,

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Speaker 1: I don't need it. Yeah, it's it's helpful for contouring

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Speaker 1: I've found. Yeah, looks great. Yeah, but thank you. What

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Speaker 1: about the blending by the next, what about the blending?

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Speaker 1: That's why I just said it doesn't. It defeats a

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Speaker 1: purpose if you're not blending properly. Jack, Yeah, okay, and

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Speaker 1: doing a turtlenext seed that's the cheap move because we

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Speaker 1: see it. It It gets all over your white turtle. Next,

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Speaker 1: that's the thing. My masks. You always know it's my mask.

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Speaker 1: It's just like your sacks mask. Because he still thinks

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Speaker 1: he's that shade of fenty that he is not. What

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Speaker 1: is something that you think is underrated? Um? Underrated? It is? Okay,

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Speaker 1: so you already know that I'm into looking at property

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Speaker 1: on Italy. I'm not rich, by the way. That sounds

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Speaker 1: like a rich person thing. I'm just trying to find

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Speaker 1: a way. Yeah, okay, So Pimseler, have you heard of it?

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Speaker 1: It's a language learning thing. Yeah, this is so nerdy,

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Speaker 1: but I'm into language learning. And a lot of people

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Speaker 1: liked a lingo and I liked a lingo. It's fun.

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Speaker 1: I love the owl. It's quirky. However, it's it's just

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Speaker 1: good for vocab. Pimsler is. It's gonna teach you how

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Speaker 1: to say the right things and you'll learn in a

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Speaker 1: better way. And uh yeah, I feel like they should

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Speaker 1: maybe give you money because I'm talking, what do you language?

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Speaker 1: I mean, officially, I think we've done a I think

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Speaker 1: babble in the past um, which is like definitely a

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Speaker 1: step up from duo lingo because that one just feels Yeah,

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Speaker 1: it's like I'm on the toilet and I learned how

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Speaker 1: to say the boy is running and that's back on

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Speaker 1: the help. But like, yeah, I think it all depends

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Speaker 1: on how robust the program is. But what are you

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Speaker 1: learning on Pimseler. I'm learning Italian and then I speak Spanish,

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Speaker 1: but sometimes I don't. I don't like I grew up

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Speaker 1: in Florida, my parents speak Spanish and and I grew

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Speaker 1: up speaking Spanish first, but now I'm like forgetting it

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Speaker 1: and I don't get that much time to practice. So

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Speaker 1: I do need to brush up on my Spanish too,

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Speaker 1: And I don't know eventually, like I want to learn.

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Speaker 1: I might be going to Japan later this year, and

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Speaker 1: I gotta pick up some phrases I got, I got you.

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Speaker 1: You know, I'll trade if you teach me Spanish, I'll

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Speaker 1: teach Japanese. Oh my god, I'm so down. I would

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Speaker 1: love that. So yeah, Italy Italian overlaps a little bit

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Speaker 1: with Spanish, right ye Are there efficiencies that you're finding

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Speaker 1: as you're trying to learn? Um? Yeah? So the god damn. Now,

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Speaker 1: I can't think of a single word. Um. Words are hard.

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Speaker 1: Words are hard. I don't know learning any of these languages.

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Speaker 1: I'll tell you something about like the accent real quick.

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Speaker 1: So like mother and in Spanish is madre, and mother

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Speaker 1: in Italian is also madre, but in Italian you really

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Speaker 1: have to pronounce the d, so it's like madre instead

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Speaker 1: of when in Spanish you're like a little looser. You're like,

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Speaker 1: it's almost like a thh sound. So let hit that,

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Speaker 1: hit it hard at the hard d hard. Okay? That

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Speaker 1: was um hms are the ones that the state Department used?

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Speaker 1: What was the one that everyone's saying, like the government

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Speaker 1: used it people, And I'm like, well, fuck it. I

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Speaker 1: mean did a pretty good job. It's like an open

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Speaker 1: source thing that people were using and they were like using,

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Speaker 1: but the method is like, you know, blessed. Yeah, it's

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Speaker 1: a blessed method. All right, let's take a quick break

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Speaker 1: and we will be right back to talk about Amazon

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Speaker 1: and we're back. And as you were mentioning that that

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Speaker 1: house that's available in northern Italy, I was just thinking,

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Speaker 1: are you guys like feeling less and less happy about

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Speaker 1: living in l A as of late? I've I've been like,

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Speaker 1: I don't know, man, the I camp hearing stories of

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Speaker 1: the l A p D being like, well, you guys

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Speaker 1: defunded us and like not responding to like armed robberies. Yeah,

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Speaker 1: somebody got murdered in their backyard. The other day because

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Speaker 1: the l A p D wouldn't send somebody even though

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Speaker 1: people were like, ah, they're they're there's somebody trespassing there,

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Speaker 1: like is it your yard or are they in your house?

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Speaker 1: Then sorry, like on the problem, the l A p

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Speaker 1: D has become an existential threat to like all people

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Speaker 1: who live in l A. It's a pretty wild story.

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Speaker 1: I'm sure that's the same apartments, but I think in

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Speaker 1: l A too. I mean it's like a lot of

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Speaker 1: people fled big cities in general, you know. I think

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Speaker 1: when they had the ability to say, like, oh, I'm

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Speaker 1: not tethered. I was only tethered to this geography for

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Speaker 1: my job. And when that sort of vanished, I think

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Speaker 1: a lot of people got more in touch with like,

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Speaker 1: you know what, I'd rather be able to throw a

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Speaker 1: ball as far as I can and not hit something. Right.

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Speaker 1: I go on like my little daily walks, and I

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Speaker 1: realized yesterday I was like I haven't. I'm like kind

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Speaker 1: of on edge every time I go on a walk,

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Speaker 1: like I'm just like looking down making sure I'm not

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Speaker 1: stepping on dog poo, and then I'm like looking around

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Speaker 1: making sure likes about you, yeah, and then I'm sure

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Speaker 1: no one's gonna throw dog pooh exactly. That's why I

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Speaker 1: take nature. You don't take a nature walks just to

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Speaker 1: watch your back. Ye alright, let's talk about speaking of Pooh.

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Speaker 1: I want to talk about Amazon. This has sort of

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Speaker 1: been in the ether for the past like week and

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Speaker 1: a half, but just to sort of officially get up

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Speaker 1: to speed on where we're at in uh, the whole

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Speaker 1: Amazon publicity campaign trying to defend how they treat their employees,

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Speaker 1: trying to be like unions. Why why would you unionize?

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Speaker 1: I don't we people are happy. Look at these people

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Speaker 1: we paid a tweet on our behalf. We've got one

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Speaker 1: tweet that I thought was pretty interesting from them. Wednesday

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Speaker 1: last week, at Amazon News twitter account tweeted the following.

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Speaker 1: So this representative, Mark Pokan tweeted, paying workers fifteen dollars

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Speaker 1: per hour doesn't make you a progressive workplace when you

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Speaker 1: and bust and make workers urinate and water bottles, and

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Speaker 1: Amazon replied, you don't really believe the peeing in bottles thing,

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Speaker 1: do you? If that were true, nobody would work for us.

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Speaker 1: The truth is that we have over a million incredible

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Speaker 1: employees around the world who are proud of what they

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Speaker 1: do and have a great wages and healthcare from day one,

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Speaker 1: And they eventually had to apologize for that tweet. They said,

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Speaker 1: this was an own goal, We're unhappy about it, and

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Speaker 1: we owe an apology to Representative Poken. So I really

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Speaker 1: like that they are apologizing to the person that they

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Speaker 1: corrected about it, like creating abusive work conditions for their

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Speaker 1: employees and not apologizing to their employees. It's just a

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Speaker 1: very don't admit, like gets a slippery slope. What are

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Speaker 1: they gonna do admit that was true? You know what

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Speaker 1: I mean? So like the easy they did this weird

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Speaker 1: splitting the difference thing of just being like, uh, say

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Speaker 1: that was a goof, but not what part because we're

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Speaker 1: not don't say we're the goof is that we're exploiting

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Speaker 1: the workers. Say the goof was that we questioned Representative

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Speaker 1: poke Can and then we're like sorry about that. Like

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Speaker 1: it's so fucking It's just a weird line they're walking. Also,

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Speaker 1: that tweet sounds like who let Amazon tweet that? It

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Speaker 1: sounds like a twelve year old tweeted it, Like you

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Speaker 1: don't actually believe this rumor? Do you write terrible defense

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Speaker 1: from a guilty person. You don't really believe that we're

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Speaker 1: locking up weagers in concentration camps, do you? From this

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Speaker 1: satellite imagery. Really there's a whole like level of attitude

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Speaker 1: that has come along with this Amazon like offensive, and

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Speaker 1: it's like confidence. It's also like sort of it reminds

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Speaker 1: me of a lot of like, I don't know, big

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00:24:01,640 --> 00:24:05,320
Speaker 1: d democrat like type people like how they which makes

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Speaker 1: sense because, uh, the dude who is in charge of

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Speaker 1: Amazon's publicity is the dude from the Obama administration, Jake

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Speaker 1: Karney I think his name is. And it's just all

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Speaker 1: it's like, got this smugness to it that for some

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Speaker 1: reason that being like this was an own goal, we're

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Speaker 1: unhappy about it, and we owe an apology to representative pokes.

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Speaker 1: So that means they are just reaming out whoever tweeted that,

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Speaker 1: even though it was probably approved at the highest level,

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Speaker 1: like it had to have been, they probably there fired

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Speaker 1: that one person apparently, like when it no matter what

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Speaker 1: level you're at, Amazon is a terrifying place to work.

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Speaker 1: I've heard stories of people who are like at the

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Speaker 1: executive level being like, yeah, everybody cries at least once

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Speaker 1: a day. It's brutal. Everyone is like, so mean, the

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00:24:58,200 --> 00:25:03,400
Speaker 1: expectations are so high, and so the answer, uh, it

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Speaker 1: turns out is that all of their employees have to

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Speaker 1: pee in bottles. Uh. Their their apology was like, yes,

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Speaker 1: some of our drivers when they're out in the country

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Speaker 1: and can't find a place to use the restroom, UH,

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Speaker 1: they might pe in a bottle, but that the others

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Speaker 1: are probably just real creepy. But it turns out that

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Speaker 1: like this is a constant point of like something that

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Speaker 1: they have to monitor all the time is uh drivers

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Speaker 1: having to pee and not having the time to do it.

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Speaker 1: And the same with people at fulfillment centers. There's a

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Speaker 1: quote from Motherboard where they interviewed one of their and

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Speaker 1: one of the Amazon employees who said, you're sitting there

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Speaker 1: and you have to take a piss, but you don't

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Speaker 1: want to rack up time off task, so off task

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Speaker 1: that's the that's how they monitor, uh you like how

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Speaker 1: much time on task for off task And they're basically

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Speaker 1: treating you like a robot. That's who you're competing with.

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Speaker 1: And anytime you have to take care of natural human

421
00:26:15,880 --> 00:26:21,439
Speaker 1: bodily functions such as going to the bathroom or God forbid, resting. Uh,

422
00:26:21,520 --> 00:26:25,640
Speaker 1: you are deemed off task, and they track every second

423
00:26:25,840 --> 00:26:29,439
Speaker 1: that you spend off task. It's like being inside the

424
00:26:29,480 --> 00:26:33,880
Speaker 1: head of like just somebody who has crippling anxiety. They're

425
00:26:33,960 --> 00:26:41,040
Speaker 1: creating the the conditions of just being in being wildly unhappy,

426
00:26:41,080 --> 00:26:44,040
Speaker 1: Like I mean, it's a machine that's built to exploit

427
00:26:44,200 --> 00:26:47,760
Speaker 1: human beings for every ounce of human energy they have,

428
00:26:48,160 --> 00:26:51,200
Speaker 1: but not considering that they're humans. It's like, oh yeah,

429
00:26:51,200 --> 00:26:53,879
Speaker 1: these like organisms. They'll drive the trucks and throw the

430
00:26:53,920 --> 00:26:57,240
Speaker 1: boxes and fill the boxes, but stuff like p eat

431
00:26:57,600 --> 00:27:00,200
Speaker 1: rust No no, no no, no no that. So what we've

432
00:27:00,200 --> 00:27:02,240
Speaker 1: done is we've had an algorithm where we can say

433
00:27:02,280 --> 00:27:06,360
Speaker 1: a driver can, if they don't stop at all, hit

434
00:27:06,440 --> 00:27:08,840
Speaker 1: all of these homes and we can still say we

435
00:27:08,920 --> 00:27:11,280
Speaker 1: will probab, We'll get you this ship into twenty seconds

436
00:27:11,800 --> 00:27:14,440
Speaker 1: and there and all of these drivers and and fulfillment

437
00:27:14,480 --> 00:27:17,040
Speaker 1: center workers are also saying you have to at the

438
00:27:17,200 --> 00:27:20,479
Speaker 1: very least begin to build in like the humanity of

439
00:27:20,520 --> 00:27:23,679
Speaker 1: your workers into these schedules, because you're asking people to

440
00:27:23,760 --> 00:27:27,280
Speaker 1: perform at a level that is not humane and now

441
00:27:27,359 --> 00:27:31,080
Speaker 1: leads to relieving yourself in a bottle. To then have

442
00:27:31,119 --> 00:27:33,760
Speaker 1: the attitude of like that's an own goal. It's just

443
00:27:33,800 --> 00:27:36,879
Speaker 1: so insidious on top of it, because they're already treating

444
00:27:36,920 --> 00:27:40,600
Speaker 1: this whole situation as a thing that is like the

445
00:27:40,640 --> 00:27:45,200
Speaker 1: fucking Kylie Jenner Pepsi commercial. It's not it's you're being

446
00:27:45,520 --> 00:27:48,359
Speaker 1: People are putting the fucking lens on you because of

447
00:27:48,400 --> 00:27:53,360
Speaker 1: your pattern of exploitation and just obscene profits. And there

448
00:27:53,520 --> 00:27:56,320
Speaker 1: seems to be no any any sort of inkling to

449
00:27:56,359 --> 00:28:00,760
Speaker 1: begin paying back the workers who was, you know, off

450
00:28:00,760 --> 00:28:05,120
Speaker 1: their backs. You're making these massive, massive profits off of Yeah,

451
00:28:05,160 --> 00:28:08,639
Speaker 1: they think they can just optimize anything, right, and so

452
00:28:08,680 --> 00:28:12,200
Speaker 1: they're like, uh, that that isn't like us dealing with

453
00:28:12,240 --> 00:28:16,679
Speaker 1: a fundamental flaw in our approach to existing as a

454
00:28:16,720 --> 00:28:21,760
Speaker 1: company that is a less than optimal response to this situation.

455
00:28:22,240 --> 00:28:24,359
Speaker 1: There was a way we could have responded that would

456
00:28:24,359 --> 00:28:27,280
Speaker 1: have been better, and we have fired that employee who

457
00:28:27,320 --> 00:28:31,320
Speaker 1: took the less than optimal approach. And it's just so

458
00:28:31,680 --> 00:28:35,960
Speaker 1: like at every level, it's just so thoroughly built into

459
00:28:36,000 --> 00:28:40,400
Speaker 1: the DNA that it just reminds you that there's no

460
00:28:40,800 --> 00:28:44,840
Speaker 1: version of this where they regulate themselves. It has to

461
00:28:44,880 --> 00:28:48,040
Speaker 1: come from outside for this to end up as anything

462
00:28:48,040 --> 00:28:52,640
Speaker 1: other than completely dystopian so yeah, it's worth keeping an

463
00:28:52,640 --> 00:28:54,760
Speaker 1: eye on because they're so they're One of the reasons

464
00:28:54,760 --> 00:28:59,240
Speaker 1: they're so freaked out is because this fulfillment center in

465
00:29:00,560 --> 00:29:04,360
Speaker 1: Alabama is in a in an area that is typically,

466
00:29:04,600 --> 00:29:07,800
Speaker 1: you know, very right wing, would not be expected to

467
00:29:07,880 --> 00:29:11,880
Speaker 1: be very sympathetic to unionizing, and they're making a lot

468
00:29:11,920 --> 00:29:16,600
Speaker 1: of progress towards unionizing there. And so they are like

469
00:29:16,680 --> 00:29:19,720
Speaker 1: Amazon's approach that has basically like the US government's approach

470
00:29:19,880 --> 00:29:23,840
Speaker 1: to Vietnam. They're like, well, if this domino falls, then

471
00:29:23,920 --> 00:29:31,600
Speaker 1: what's next, Right, So they're going after Bernie Sanders. They're like, actually,

472
00:29:31,640 --> 00:29:34,080
Speaker 1: the only difference between you and US is we actually

473
00:29:34,280 --> 00:29:37,840
Speaker 1: got people paid fifteen dollars an hour. You didn't. It's

474
00:29:37,880 --> 00:29:42,560
Speaker 1: like you guys have you guys make more money than

475
00:29:42,920 --> 00:29:47,280
Speaker 1: most countries. He is a single politician. I can think

476
00:29:47,280 --> 00:29:50,320
Speaker 1: of like a million different ways that Amazon can make

477
00:29:50,320 --> 00:29:56,120
Speaker 1: this situation slightly better, like just giving them a longer break.

478
00:29:56,720 --> 00:30:00,280
Speaker 1: Amazon has so much money, they could build bathrooms. They

479
00:30:00,280 --> 00:30:04,360
Speaker 1: can build luxury bathrooms in every corner, or like make

480
00:30:04,400 --> 00:30:08,440
Speaker 1: deals with like coffee shops, and or how about this

481
00:30:08,680 --> 00:30:11,959
Speaker 1: just reduce the hours one person has to work and

482
00:30:12,000 --> 00:30:15,000
Speaker 1: you can create more jobs by hiring more people who

483
00:30:15,080 --> 00:30:17,920
Speaker 1: work less, you know what I mean, Like if the

484
00:30:17,960 --> 00:30:20,200
Speaker 1: whole thing is about optimized, like, well, this person has

485
00:30:20,200 --> 00:30:22,200
Speaker 1: to be able to do process this many packages in

486
00:30:22,200 --> 00:30:25,880
Speaker 1: in eight hours, then say okay, then make that ship

487
00:30:25,960 --> 00:30:28,880
Speaker 1: in six and a half. And whatever you're missing, like

488
00:30:28,920 --> 00:30:31,480
Speaker 1: whatever you need to fill in, hire other people, but

489
00:30:31,560 --> 00:30:34,800
Speaker 1: don't don't make it like alright, fine, you still need

490
00:30:34,840 --> 00:30:36,920
Speaker 1: the most out of you. But this is what That's

491
00:30:36,920 --> 00:30:39,080
Speaker 1: why I like this union. But is so important because

492
00:30:39,080 --> 00:30:42,400
Speaker 1: it's gonna set at least some like guardrails about what

493
00:30:42,600 --> 00:30:45,320
Speaker 1: can be expected from a human being in a workday.

494
00:30:45,600 --> 00:30:48,880
Speaker 1: There's um, there's this book called Good Degrede that's about

495
00:30:48,920 --> 00:30:54,320
Speaker 1: like how businesses stay successful, like even after they are

496
00:30:55,080 --> 00:30:59,640
Speaker 1: like change leadership, they stay successful in the marketplace. I'm

497
00:30:59,680 --> 00:31:02,760
Speaker 1: like one of the like May. It's the book is

498
00:31:02,840 --> 00:31:05,680
Speaker 1: kind of full of ship and it gives these companies

499
00:31:05,760 --> 00:31:09,640
Speaker 1: credits for doing things that you know are just luck

500
00:31:09,680 --> 00:31:11,560
Speaker 1: at the draw, like one of the companies that they

501
00:31:11,560 --> 00:31:13,440
Speaker 1: give a lot of credit to aus Fannie May, like

502
00:31:13,560 --> 00:31:18,800
Speaker 1: right before the financial crash. But they they do have

503
00:31:18,960 --> 00:31:21,680
Speaker 1: this idea that like so the idea is that like

504
00:31:21,720 --> 00:31:24,280
Speaker 1: every every company has this one thing that they're better

505
00:31:24,320 --> 00:31:27,040
Speaker 1: at than any other company in the world. And that's

506
00:31:27,040 --> 00:31:29,000
Speaker 1: how you like you just like find a way to

507
00:31:29,120 --> 00:31:32,440
Speaker 1: keep doing that and keep uh making money off of

508
00:31:32,520 --> 00:31:35,120
Speaker 1: that one thing. And I really think that the reason

509
00:31:35,160 --> 00:31:39,040
Speaker 1: Amazon can't fix this is because they're one thing is

510
00:31:39,200 --> 00:31:43,280
Speaker 1: exploiting employees getting the most value out of that. That

511
00:31:43,400 --> 00:31:48,160
Speaker 1: is their secret sauce is exploiting and abusing employees, like

512
00:31:48,280 --> 00:31:54,400
Speaker 1: getting like the the thing about the like downtime or

513
00:31:54,400 --> 00:31:58,240
Speaker 1: whatever time off task like that. I think I believe

514
00:31:58,320 --> 00:32:02,120
Speaker 1: if you like looked at their internal documents, they would say, like,

515
00:32:02,600 --> 00:32:05,960
Speaker 1: that is like our d n A. That is the

516
00:32:06,000 --> 00:32:08,520
Speaker 1: thing that makes us better than other companies. And that's

517
00:32:08,520 --> 00:32:11,600
Speaker 1: why they would never change it on their own. They

518
00:32:11,600 --> 00:32:14,960
Speaker 1: would never decide to like give people extra time to

519
00:32:14,960 --> 00:32:17,480
Speaker 1: go to the bathroom because they think, well, the one

520
00:32:17,560 --> 00:32:21,360
Speaker 1: thing that keeps us like better than ups is that

521
00:32:21,400 --> 00:32:24,800
Speaker 1: we have this like cameras on our employees and we

522
00:32:24,840 --> 00:32:29,200
Speaker 1: don't account for humanity in our projections. That's the secret.

523
00:32:30,000 --> 00:32:32,080
Speaker 1: It's also wild that I don't know if you guys

524
00:32:32,080 --> 00:32:36,240
Speaker 1: saw nomad Land, but like nomad Land has these scenes

525
00:32:36,320 --> 00:32:39,479
Speaker 1: that take place in Amazon Fulfillment Center where it's like

526
00:32:39,760 --> 00:32:43,880
Speaker 1: very surreal and there's like robots rushing around and it is,

527
00:32:44,200 --> 00:32:47,880
Speaker 1: you know, kind of dystopian. But like, it turns out

528
00:32:48,120 --> 00:32:53,800
Speaker 1: that is way too generous a depiction of Amazon because

529
00:32:53,840 --> 00:32:57,360
Speaker 1: they like get time off and there is like camaraderie there,

530
00:32:57,400 --> 00:33:00,800
Speaker 1: Like Amazon might have paid them for that, like top gun,

531
00:33:00,880 --> 00:33:03,040
Speaker 1: Like how the Department of Defense is like, yeah, yeah,

532
00:33:03,040 --> 00:33:05,280
Speaker 1: you want to use a battleship here, let's pretend this

533
00:33:05,320 --> 00:33:08,520
Speaker 1: is what the Air Force looks like. Yeah. Also, I

534
00:33:08,560 --> 00:33:11,800
Speaker 1: can't stop thinking about like what if you're a person

535
00:33:11,880 --> 00:33:15,760
Speaker 1: with a vagina and you are delivering Amazon packages and

536
00:33:15,960 --> 00:33:19,240
Speaker 1: you have to take a piss. It's not easy to

537
00:33:19,320 --> 00:33:25,600
Speaker 1: piss in a bottle. There's also a bag pooping that

538
00:33:25,640 --> 00:33:29,680
Speaker 1: takes place. I might have skipped over that detail. I'm

539
00:33:29,760 --> 00:33:32,760
Speaker 1: familiar with that. There's a four year old. But yeah,

540
00:33:33,440 --> 00:33:36,640
Speaker 1: we hope you know, I know the results of the

541
00:33:36,880 --> 00:33:40,440
Speaker 1: vote are still being tabulated, uh and could take a

542
00:33:40,480 --> 00:33:42,400
Speaker 1: little bit longer because a lot were mailed in, But

543
00:33:42,760 --> 00:33:44,920
Speaker 1: you know, I think we we wait to see what

544
00:33:45,000 --> 00:33:49,280
Speaker 1: happens with that vote. But the rules around the unionization

545
00:33:49,320 --> 00:33:53,560
Speaker 1: in America is like they're absurd. Can't say anything pro union,

546
00:33:53,680 --> 00:33:56,160
Speaker 1: but you can be like Uh so, yeah, you can

547
00:33:56,360 --> 00:33:59,360
Speaker 1: unionize if you want to like join the mafia and

548
00:33:59,400 --> 00:34:05,200
Speaker 1: get paid less. Like it's yeah, let's talk about Matt Gates.

549
00:34:05,360 --> 00:34:13,239
Speaker 1: There is fellow Floridian. Oh my god, so proud one

550
00:34:13,239 --> 00:34:15,239
Speaker 1: of one of the great We talked about, you know,

551
00:34:15,360 --> 00:34:19,439
Speaker 1: last week, just as this scandal was taking all kinds

552
00:34:19,480 --> 00:34:24,719
Speaker 1: of weird forms and distractions and offshoots and tangents um

553
00:34:24,800 --> 00:34:28,239
Speaker 1: that he was like the soul no vote in an

554
00:34:28,280 --> 00:34:31,040
Speaker 1: anti revenge porn video. Actually it was it was one

555
00:34:31,040 --> 00:34:34,080
Speaker 1: other person who turned out to be his roommate who

556
00:34:34,160 --> 00:34:36,279
Speaker 1: like he shared a condo with, who was also in

557
00:34:36,320 --> 00:34:39,680
Speaker 1: the state legislature. So two people, but they were buddies

558
00:34:40,120 --> 00:34:42,960
Speaker 1: when he was in the Florida llege. And now we're

559
00:34:43,000 --> 00:34:45,279
Speaker 1: like kind of hearing why as like some of the

560
00:34:45,320 --> 00:34:48,480
Speaker 1: people who were the sponsors of the bill are recalling

561
00:34:48,560 --> 00:34:52,080
Speaker 1: like what the discussions were around like his opposition to this.

562
00:34:52,800 --> 00:34:55,680
Speaker 1: So just for some context, there's already stories about how

563
00:34:55,760 --> 00:34:59,440
Speaker 1: Gates has been showing other members of Congress nude photos

564
00:34:59,520 --> 00:35:03,719
Speaker 1: on his phone to them on the house floor at

565
00:35:03,719 --> 00:35:07,440
Speaker 1: the Capitol. That's that that's where his depravity. It's like

566
00:35:07,520 --> 00:35:11,640
Speaker 1: everything is, uh, the frat house and how he would

567
00:35:11,640 --> 00:35:13,680
Speaker 1: basically just be like, oh, like, isn't like look at

568
00:35:13,680 --> 00:35:15,600
Speaker 1: this one. This is like sick, and people like, what

569
00:35:15,640 --> 00:35:17,600
Speaker 1: the fund is this guy going on about. I'm sure

570
00:35:17,640 --> 00:35:19,440
Speaker 1: other people were like in it in the moment and

571
00:35:19,480 --> 00:35:21,440
Speaker 1: found time to be like, actually, yeah, I remember when

572
00:35:21,440 --> 00:35:23,920
Speaker 1: he showed me that. It was really disgusting. But the

573
00:35:24,000 --> 00:35:26,759
Speaker 1: revenge porn thing. So when he was in the Florida legislature,

574
00:35:26,920 --> 00:35:29,640
Speaker 1: he opposed this bill that was basically saying it's gonna

575
00:35:29,760 --> 00:35:35,239
Speaker 1: you know, attached punishment, make punitive damages for people who

576
00:35:35,239 --> 00:35:38,640
Speaker 1: are sharing sexually explicit images of ex lovers. Um. But

577
00:35:38,840 --> 00:35:41,960
Speaker 1: his like sort of rationale was that he believed that

578
00:35:42,000 --> 00:35:45,800
Speaker 1: the recipients of those images had a right to share them.

579
00:35:45,920 --> 00:35:49,759
Speaker 1: That's why he was against them. Wait, the recipients. So

580
00:35:49,840 --> 00:35:52,920
Speaker 1: the person who saw the image, who sent you sent

581
00:35:53,000 --> 00:35:55,920
Speaker 1: me this picture this is mine? Now, this is my

582
00:35:56,120 --> 00:36:01,440
Speaker 1: this was art right now? What as I please with it?

583
00:36:01,440 --> 00:36:03,799
Speaker 1: Because I am now the owner of this image. Um.

584
00:36:03,960 --> 00:36:07,719
Speaker 1: The one of the sponsors of the bill, Reped Tom Goodson,

585
00:36:08,360 --> 00:36:11,120
Speaker 1: elaborated on that and said, quote, Matt was absolutely against it.

586
00:36:11,160 --> 00:36:13,359
Speaker 1: He thought the picture was his to do with what

587
00:36:13,440 --> 00:36:16,440
Speaker 1: he wanted. He thought that any picture was his to

588
00:36:16,600 --> 00:36:20,240
Speaker 1: use as he wanted to as an expression of his rights.

589
00:36:21,280 --> 00:36:26,439
Speaker 1: This is where that rights ship comes up again. It's yeah,

590
00:36:26,560 --> 00:36:30,200
Speaker 1: what's just like this toxic word that's bandied about to

591
00:36:30,280 --> 00:36:34,319
Speaker 1: just justify your utter lack of consideration for anything under

592
00:36:34,360 --> 00:36:37,560
Speaker 1: the guys of it's my right. It's my right to

593
00:36:37,640 --> 00:36:41,480
Speaker 1: fucking kill someone, it's my right to fucking exploit someone.

594
00:36:41,520 --> 00:36:44,640
Speaker 1: It's my right to violate somebody Like no, it isn't

595
00:36:44,880 --> 00:36:48,919
Speaker 1: it is not and um. Unfortunately, this is only one

596
00:36:48,960 --> 00:36:52,279
Speaker 1: of many such stories where Gates, like whether it's been

597
00:36:52,320 --> 00:36:55,239
Speaker 1: in the United States Congress or in the state legislature

598
00:36:55,239 --> 00:36:58,280
Speaker 1: of Florida, where he has been hanging around and showing

599
00:36:58,320 --> 00:37:01,480
Speaker 1: other men like all the naked women that he hangs

600
00:37:01,520 --> 00:37:03,480
Speaker 1: out with, and then like talking about, oh this, look

601
00:37:03,480 --> 00:37:05,520
Speaker 1: at this one, like I got and and he'll say

602
00:37:06,280 --> 00:37:08,080
Speaker 1: that other guy who we talked about who got who

603
00:37:08,160 --> 00:37:11,719
Speaker 1: was the Seminole County tax collector whose investigation is the

604
00:37:11,760 --> 00:37:14,560
Speaker 1: one that brought the attention on Gates, is he would

605
00:37:14,600 --> 00:37:16,040
Speaker 1: say like, oh, yeah, he hooked me up with like

606
00:37:16,080 --> 00:37:19,080
Speaker 1: these three or whatever. So it's just part and parcel

607
00:37:19,080 --> 00:37:22,160
Speaker 1: of this pattern of behavior where he clearly has no

608
00:37:22,239 --> 00:37:27,359
Speaker 1: idea what consent or laws or decency are, Like at

609
00:37:27,400 --> 00:37:30,759
Speaker 1: every turn, like we're just getting more and more information

610
00:37:31,280 --> 00:37:34,560
Speaker 1: about this consent is a violation of his rights. So

611
00:37:34,719 --> 00:37:38,640
Speaker 1: you have to understand, I mean, that's where that would

612
00:37:38,680 --> 00:37:41,560
Speaker 1: go on some point. He's like, well, at a certain

613
00:37:41,600 --> 00:37:43,719
Speaker 1: point you have to understand that, like to even get

614
00:37:43,760 --> 00:37:47,239
Speaker 1: to like a certain point of like a physical interaction

615
00:37:47,560 --> 00:37:49,839
Speaker 1: there was there would be consent. So at that point, like,

616
00:37:49,960 --> 00:37:53,600
Speaker 1: that's my right to explore that. Again, he sounds like

617
00:37:53,640 --> 00:37:58,640
Speaker 1: a teenager, like debating, like in a shitty debate. Also,

618
00:37:59,120 --> 00:38:03,920
Speaker 1: why why do like legislators have roommates. It's not that

619
00:38:04,040 --> 00:38:07,120
Speaker 1: expensive to live in Florida. Why are you living with

620
00:38:07,280 --> 00:38:10,239
Speaker 1: so many dudes? I mean, I get it. If I

621
00:38:10,280 --> 00:38:12,880
Speaker 1: don't know, I don't gross fucking you know, they're just

622
00:38:12,920 --> 00:38:17,120
Speaker 1: a bunch of gross fucking dudes. It's not you know,

623
00:38:17,160 --> 00:38:20,960
Speaker 1: it's like we'll do fucking blow and trade nude photos

624
00:38:21,000 --> 00:38:24,480
Speaker 1: and play guitar hero and then we'll go stop stomp

625
00:38:24,520 --> 00:38:27,759
Speaker 1: all over people's rights because our daddies are rich enough

626
00:38:27,800 --> 00:38:29,680
Speaker 1: to buy us by, you know, by our seat in

627
00:38:29,719 --> 00:38:33,839
Speaker 1: the legislature. Yeah. I just picture Bradley Cooper's character from

628
00:38:33,840 --> 00:38:38,000
Speaker 1: Wedding Crashers, Like that is everybody in that household right

629
00:38:38,040 --> 00:38:40,480
Speaker 1: exactly where Like he's like like he has a private

630
00:38:40,520 --> 00:38:43,640
Speaker 1: investigator that he calls all the time to deploy to

631
00:38:43,719 --> 00:38:47,080
Speaker 1: dig out like yeah, truly like Bradley Cooper and Wedding Crashers,

632
00:38:48,640 --> 00:38:54,280
Speaker 1: um uh cool and also a timely reference Wedding Crashers,

633
00:38:54,440 --> 00:39:00,319
Speaker 1: a new movie that everybody's thinking it is fifteen years

634
00:39:00,400 --> 00:39:03,680
Speaker 1: so fucking old. Uh and doesn't hold up either, So

635
00:39:03,800 --> 00:39:07,560
Speaker 1: I'm glad that I'm reference. I mean Vince Vaughn. He

636
00:39:07,880 --> 00:39:10,839
Speaker 1: hasn't held up really well either, as he Yeah, how

637
00:39:10,880 --> 00:39:14,000
Speaker 1: about that. Let's talk about kind of a related topic.

638
00:39:14,200 --> 00:39:20,800
Speaker 1: So this sociologist, Robert Paper has looked into the people

639
00:39:20,800 --> 00:39:24,040
Speaker 1: who have been arrested for storming the capital in January

640
00:39:24,080 --> 00:39:27,880
Speaker 1: six and he wanted to find out, like what was

641
00:39:28,040 --> 00:39:32,600
Speaker 1: unique about these people he assumed. He he has kind

642
00:39:32,600 --> 00:39:35,040
Speaker 1: of admitted that going in he thought he was going

643
00:39:35,120 --> 00:39:38,239
Speaker 1: to see lingering effects of the two thousand and eight

644
00:39:38,320 --> 00:39:42,000
Speaker 1: Great Recession, like that sort of New York Times Washington

645
00:39:42,040 --> 00:39:48,520
Speaker 1: Post narrative that this is like economic anxiety. Oh, Robert Peep,

646
00:39:49,000 --> 00:39:51,600
Speaker 1: my hypothes is going into this, It's probably something to

647
00:39:51,640 --> 00:39:56,439
Speaker 1: do the Great Recession from to the Okay, yes, but

648
00:39:56,600 --> 00:40:00,440
Speaker 1: instead he found something very different. Most of the people

649
00:40:00,480 --> 00:40:02,920
Speaker 1: who took part in the assault came from places as

650
00:40:02,960 --> 00:40:06,280
Speaker 1: pulling in demographic data showed that were a washing fears

651
00:40:06,360 --> 00:40:09,799
Speaker 1: that the rights of minorities and immigrants were crowding out

652
00:40:09,840 --> 00:40:12,880
Speaker 1: the rights of white people in American politics and culture.

653
00:40:13,480 --> 00:40:19,120
Speaker 1: I'm so sure shocking, it is shy. Everyone saw that

654
00:40:19,400 --> 00:40:23,040
Speaker 1: the from I don't know, for many years now, and

655
00:40:23,320 --> 00:40:26,240
Speaker 1: before this year, we knew what was that. The underneath

656
00:40:26,239 --> 00:40:28,920
Speaker 1: all of this, it was all middle class, topper middle

657
00:40:28,960 --> 00:40:33,040
Speaker 1: class whites who are worried that as social changes occur

658
00:40:33,120 --> 00:40:36,000
Speaker 1: around them, they will see a decline in their status

659
00:40:36,000 --> 00:40:40,040
Speaker 1: in the future. This is exactly what they wanted them

660
00:40:40,080 --> 00:40:44,520
Speaker 1: to think, that giving people of color a little bit

661
00:40:44,520 --> 00:40:50,040
Speaker 1: of equality is going to make their lives less important.

662
00:40:50,719 --> 00:40:52,479
Speaker 1: Um oh yeah, I mean, you know, you can't blame

663
00:40:52,520 --> 00:40:54,600
Speaker 1: them because they have a pretty good example to see

664
00:40:54,640 --> 00:40:58,200
Speaker 1: how this country treats people of color. So they're like, oh,

665
00:40:58,239 --> 00:41:01,239
Speaker 1: I don't want that for myself at all. Is that

666
00:41:01,280 --> 00:41:03,719
Speaker 1: what's gonna happen is the thing we're doing to them?

667
00:41:03,920 --> 00:41:05,600
Speaker 1: Is it going to happen to us? Now? Like on

668
00:41:05,640 --> 00:41:08,919
Speaker 1: some level, there's a that's that's registering. And we talked

669
00:41:08,920 --> 00:41:12,120
Speaker 1: sort of about this even over the summer with all

670
00:41:12,160 --> 00:41:16,319
Speaker 1: the you know, the people understanding what white supremacy is,

671
00:41:16,520 --> 00:41:19,680
Speaker 1: that the whole thing is just it tricks you into

672
00:41:19,719 --> 00:41:22,520
Speaker 1: thinking that you somehow have this superiority that you do not,

673
00:41:22,880 --> 00:41:26,200
Speaker 1: and on some level you begin to come into contact

674
00:41:26,239 --> 00:41:30,279
Speaker 1: with the reality that you've just been huffing fucking paint

675
00:41:30,320 --> 00:41:32,799
Speaker 1: this whole time, and it's and then you look in

676
00:41:32,840 --> 00:41:35,719
Speaker 1: your fucking bag filled with metallic spray paint. You're like, Ship,

677
00:41:35,840 --> 00:41:39,480
Speaker 1: this wasn't real the whole time. A fuck. But that's why,

678
00:41:39,640 --> 00:41:41,920
Speaker 1: you know, and I think that's why it's so convenient

679
00:41:41,960 --> 00:41:44,000
Speaker 1: for many people to just continue to bury their head

680
00:41:44,040 --> 00:41:46,560
Speaker 1: in a world where like they don't have to consider

681
00:41:46,600 --> 00:41:49,080
Speaker 1: these things, because the other side of it is to

682
00:41:49,120 --> 00:41:52,120
Speaker 1: have to really examine some ship and if your whole

683
00:41:52,160 --> 00:41:55,840
Speaker 1: thing is built on I'm superior to brown, black, whatever,

684
00:41:55,960 --> 00:41:59,319
Speaker 1: non white people or whatever the group is, then over

685
00:41:59,440 --> 00:42:02,920
Speaker 1: eventually it is gonna you know, consume you. Yeah, at

686
00:42:02,960 --> 00:42:06,840
Speaker 1: some level, they recognize that they have an unfair advantage,

687
00:42:06,880 --> 00:42:09,640
Speaker 1: have had an unfair advantage because the things that they're

688
00:42:09,640 --> 00:42:14,080
Speaker 1: seeing are just people being able to exist at the

689
00:42:14,160 --> 00:42:20,120
Speaker 1: same level as them. Like, I don't think they're stupid.

690
00:42:20,280 --> 00:42:23,839
Speaker 1: I think they recognize what is happening. They recognize that

691
00:42:23,880 --> 00:42:27,640
Speaker 1: they're living a lie, and that is what terrifies them.

692
00:42:27,680 --> 00:42:30,919
Speaker 1: That's what that's what the white supremacy is is the

693
00:42:30,920 --> 00:42:35,439
Speaker 1: the threat, uh, Like their knowledge that they that white

694
00:42:35,440 --> 00:42:38,319
Speaker 1: supremacy is a lie and so like that that's what

695
00:42:38,520 --> 00:42:42,480
Speaker 1: terrifies them. And seeing that happen around them when it's not,

696
00:42:42,680 --> 00:42:46,560
Speaker 1: when the unfair advantage isn't just hitting other people over

697
00:42:46,640 --> 00:42:50,480
Speaker 1: the head every day, Like that terrifies them because they

698
00:42:50,520 --> 00:42:53,960
Speaker 1: know that they're they've gotten to live a lie. And also,

699
00:42:54,040 --> 00:42:56,520
Speaker 1: like even people of color internalize that too, And we

700
00:42:56,560 --> 00:42:59,680
Speaker 1: live a lie to a certain extent of getting this

701
00:42:59,800 --> 00:43:04,080
Speaker 1: feedback society that we are less than and internalizing this,

702
00:43:04,280 --> 00:43:06,920
Speaker 1: and it takes a lot of time to fucking even

703
00:43:07,040 --> 00:43:10,520
Speaker 1: within yourself to try and decolonize your own fucking mind

704
00:43:11,080 --> 00:43:13,319
Speaker 1: to realize, like you're like, oh, ship, I was fed

705
00:43:13,360 --> 00:43:16,879
Speaker 1: a steady diet of white supremacist bullshit, and even though

706
00:43:16,920 --> 00:43:19,640
Speaker 1: I'm not white, to think that that's not affecting me

707
00:43:19,680 --> 00:43:22,600
Speaker 1: on some level is an absolutely that's just a total misstep.

708
00:43:22,680 --> 00:43:24,600
Speaker 1: Like you have to also be aware of what that

709
00:43:24,640 --> 00:43:29,200
Speaker 1: does to every single person, because that just culturally, foundationally,

710
00:43:29,360 --> 00:43:33,680
Speaker 1: it's all on built on this stupid house the toothpicks

711
00:43:33,680 --> 00:43:39,799
Speaker 1: called white supremacy so stupid, he said. In the shorter term,

712
00:43:39,960 --> 00:43:43,080
Speaker 1: he added, the study would appear to connect January six

713
00:43:43,400 --> 00:43:46,319
Speaker 1: not only to the once fringed right wing theory called

714
00:43:46,360 --> 00:43:50,560
Speaker 1: the Great Replacement, which holds up minorities and and immigrants

715
00:43:50,640 --> 00:43:53,480
Speaker 1: are seeking to take over the country, but also to

716
00:43:53,680 --> 00:43:56,000
Speaker 1: events and hold onto your seats, guys, this is gonna

717
00:43:56,040 --> 00:43:58,560
Speaker 1: surprise you, but also to events like the far right

718
00:43:58,640 --> 00:44:04,680
Speaker 1: rally and Charlotte phil Ridge in two thou that those

719
00:44:04,719 --> 00:44:11,120
Speaker 1: two Roberts please just eat a fucking just a bucket

720
00:44:11,120 --> 00:44:16,279
Speaker 1: of ship? What the fun? Like? I mean whatever? Wait?

721
00:44:16,320 --> 00:44:22,959
Speaker 1: What like? Because you could have asked any person who

722
00:44:22,960 --> 00:44:26,319
Speaker 1: has a little bit of lived experience with white supremacy

723
00:44:26,440 --> 00:44:29,120
Speaker 1: or racism and be like, oh, yeah, you know exactly

724
00:44:29,120 --> 00:44:32,080
Speaker 1: what it is. They're afraid that they are going to

725
00:44:32,120 --> 00:44:35,160
Speaker 1: become the people that they were oppressing, or that that

726
00:44:35,239 --> 00:44:38,360
Speaker 1: no longer works anymore for them, that they can't conveniently

727
00:44:38,440 --> 00:44:41,520
Speaker 1: cry you know, they're white tears to a police officer

728
00:44:41,560 --> 00:44:44,319
Speaker 1: to get someone arrested or killed and that they will

729
00:44:44,360 --> 00:44:50,080
Speaker 1: have to just exist with everyone else normally. Um. He

730
00:44:50,160 --> 00:44:53,960
Speaker 1: also says, and this is I think helpful for people

731
00:44:54,160 --> 00:44:56,240
Speaker 1: to read the New York Times in the Washington Post,

732
00:44:56,320 --> 00:45:01,160
Speaker 1: that the remaining of the itters, so not the ones

733
00:45:01,200 --> 00:45:04,080
Speaker 1: who were already members of oath Keepers, are the proud Boys,

734
00:45:04,080 --> 00:45:06,480
Speaker 1: which is about ten percent of the people have been arrested.

735
00:45:06,520 --> 00:45:11,640
Speaker 1: But what people have termed the ordinary rioters are part

736
00:45:11,840 --> 00:45:14,719
Speaker 1: of a still congealing mass movement on the right that

737
00:45:14,760 --> 00:45:17,759
Speaker 1: has shown itself willing to put violence as its core.

738
00:45:18,440 --> 00:45:23,040
Speaker 1: I think a lot of people assume that this investigation

739
00:45:23,440 --> 00:45:27,319
Speaker 1: is like dealing with the problem, and I think that

740
00:45:27,520 --> 00:45:30,319
Speaker 1: is I think we're going to see this frequently pop up.

741
00:45:30,520 --> 00:45:33,239
Speaker 1: Oh yeah, there's an interesting article and Wired I was

742
00:45:33,280 --> 00:45:35,120
Speaker 1: reading that. I I was just talking about how we have

743
00:45:35,239 --> 00:45:40,480
Speaker 1: such a misplaced emphasis on polarization, you know, like the

744
00:45:40,520 --> 00:45:43,600
Speaker 1: technical like what about the polarization that's happening is part

745
00:45:43,680 --> 00:45:48,239
Speaker 1: is input and it's really just inequality. It's all that is.

746
00:45:48,680 --> 00:45:52,640
Speaker 1: And they're like to not actually put the weight of

747
00:45:52,680 --> 00:45:55,920
Speaker 1: like the social media companies or whatever. We're like, whoops,

748
00:45:56,000 --> 00:45:59,360
Speaker 1: because you know, team sort of like polarization, what do

749
00:45:59,400 --> 00:46:01,759
Speaker 1: we do here, it's really that they need to be

750
00:46:01,800 --> 00:46:05,760
Speaker 1: putting their energy into how to fix racial inequality, racial justice,

751
00:46:05,840 --> 00:46:09,000
Speaker 1: income inequality, because those are the things that are truly

752
00:46:09,040 --> 00:46:12,359
Speaker 1: at the root of all of this. Hopefully we'll begin

753
00:46:12,400 --> 00:46:15,040
Speaker 1: to pivot to that discussion as well, because there's a

754
00:46:15,120 --> 00:46:18,240
Speaker 1: lot too to really think about that as well, because

755
00:46:18,320 --> 00:46:21,040
Speaker 1: it's easy for someone who is lacking to look at

756
00:46:21,120 --> 00:46:23,400
Speaker 1: another group that might be doing well and immediately be like,

757
00:46:23,560 --> 00:46:25,960
Speaker 1: I hate them because the reason they have is because

758
00:46:26,000 --> 00:46:31,440
Speaker 1: I don't have, rather than everybody being supported to eliminate

759
00:46:31,520 --> 00:46:34,680
Speaker 1: that kind of lack within them and to be able

760
00:46:34,719 --> 00:46:37,040
Speaker 1: to focus on other things, because right now, the utter

761
00:46:37,200 --> 00:46:40,440
Speaker 1: lack that people experience is able to be manipulated in

762
00:46:40,560 --> 00:46:44,279
Speaker 1: so many different ways. Um that to just focus on

763
00:46:44,320 --> 00:46:47,279
Speaker 1: like I don't know, like you hate you love McConnell,

764
00:46:47,320 --> 00:46:51,200
Speaker 1: but you hate Pelosi. It's no. People are broke, people

765
00:46:51,239 --> 00:46:53,560
Speaker 1: are not being taken care of, and they're becoming very

766
00:46:53,800 --> 00:46:58,760
Speaker 1: cynical and nihilistic. Yeah, it's a lot deeper than polarization.

767
00:46:59,080 --> 00:47:03,440
Speaker 1: Like people need to understand that the foundations of this

768
00:47:03,560 --> 00:47:08,680
Speaker 1: country and the world, we're built on slavery, and like

769
00:47:08,760 --> 00:47:12,960
Speaker 1: that's how you that's how we started our society, so

770
00:47:13,000 --> 00:47:17,080
Speaker 1: it's pretty fucking rotten as the foundation, and we just

771
00:47:17,160 --> 00:47:21,360
Speaker 1: need to start with understanding that and move forward. I

772
00:47:21,400 --> 00:47:23,279
Speaker 1: don't want to understand that, though, and that's my right.

773
00:47:23,560 --> 00:47:26,600
Speaker 1: There's where we're at in this. I don't want to

774
00:47:26,640 --> 00:47:30,520
Speaker 1: think about it. Why are you so we're asking me

775
00:47:30,640 --> 00:47:32,960
Speaker 1: to think about that? Well, here come the woke police,

776
00:47:33,040 --> 00:47:36,759
Speaker 1: because they're gonna make me actually have to address or

777
00:47:36,800 --> 00:47:40,080
Speaker 1: have a reckoning with even if it's personally with what

778
00:47:40,160 --> 00:47:44,400
Speaker 1: this country is and is not. Shout out to Robert

779
00:47:44,440 --> 00:47:47,640
Speaker 1: Pape though. Yeah, I mean, like you're being and stuff

780
00:47:47,680 --> 00:47:49,480
Speaker 1: like that. But you know, you could ask you a

781
00:47:49,520 --> 00:47:51,680
Speaker 1: personal color. They could have They could have saved you

782
00:47:51,719 --> 00:47:56,799
Speaker 1: some paper. Yeah, I mean, like some of academias obviously

783
00:47:57,120 --> 00:48:00,799
Speaker 1: like making the saying the obvious thing out loud and

784
00:48:00,880 --> 00:48:03,799
Speaker 1: like finding the data to prove it. But it's it's

785
00:48:03,800 --> 00:48:06,000
Speaker 1: funny the way the New York Times is covering this

786
00:48:06,120 --> 00:48:10,239
Speaker 1: as a surprising finding. Yeah, maybe that's just what he

787
00:48:10,360 --> 00:48:14,560
Speaker 1: needed to be able to process that information and maybe

788
00:48:14,600 --> 00:48:17,200
Speaker 1: a bunch of people learned something he was. Yeah, he

789
00:48:17,280 --> 00:48:19,080
Speaker 1: was like he's one of those people. He was like,

790
00:48:19,160 --> 00:48:22,160
Speaker 1: I just have to scientifically prove its racism. For me

791
00:48:22,200 --> 00:48:25,840
Speaker 1: to accept this and then I will. Okay, I guess

792
00:48:25,880 --> 00:48:29,480
Speaker 1: that's what it is. Everyone, all right, let's take a

793
00:48:29,560 --> 00:48:31,640
Speaker 1: quick break and we'll come back and talk about some bullshit.

794
00:48:42,280 --> 00:48:47,040
Speaker 1: And we're back and take me up to the i

795
00:48:47,600 --> 00:48:54,680
Speaker 1: CEU America's pastime is back baby and pull cap not

796
00:48:54,800 --> 00:48:58,319
Speaker 1: even though it's full capacity in text at least a

797
00:48:58,360 --> 00:49:04,400
Speaker 1: global life field for the Rangers open day. The photos photos,

798
00:49:04,400 --> 00:49:09,200
Speaker 1: you thought this ship was taken? You know, uh, because

799
00:49:09,239 --> 00:49:11,400
Speaker 1: like barely, Like you gotta really squint your eyes, like

800
00:49:11,480 --> 00:49:14,440
Speaker 1: who's got a mask on a lot of people with

801
00:49:14,480 --> 00:49:16,560
Speaker 1: some chin masks. You got a couple of people with

802
00:49:16,680 --> 00:49:18,640
Speaker 1: mask other people who are like, I'm off this ship.

803
00:49:19,239 --> 00:49:22,160
Speaker 1: And you know, apparently at the at the field they

804
00:49:22,160 --> 00:49:24,520
Speaker 1: were saying like no, like obviously we're telling fans to

805
00:49:24,560 --> 00:49:27,880
Speaker 1: wear masks to keep it safe. We're not going and

806
00:49:28,320 --> 00:49:31,520
Speaker 1: we're going to go the fun. We'll pack thirty eight

807
00:49:31,520 --> 00:49:34,160
Speaker 1: thousand people in here. And some of them were well masks.

808
00:49:34,200 --> 00:49:36,120
Speaker 1: I don't know, some won't. But what does it matter.

809
00:49:36,280 --> 00:49:39,879
Speaker 1: Governor Abbot said, it's all g honey, So come through

810
00:49:39,920 --> 00:49:42,640
Speaker 1: to the Rangers game. Right now, the state is about

811
00:49:42,800 --> 00:49:47,880
Speaker 1: sixteen seventeen percent fully vaccinated, and over a quarter have

812
00:49:48,200 --> 00:49:51,960
Speaker 1: a little just over have gotten their first shot. But

813
00:49:52,160 --> 00:49:54,359
Speaker 1: these are not the kinds of numbers that would make

814
00:49:54,400 --> 00:49:58,080
Speaker 1: an EPIDEMIOLOGI just say, play ball, uh, because at this

815
00:49:58,120 --> 00:50:00,000
Speaker 1: point I don't know like what it is. I think

816
00:50:00,000 --> 00:50:03,400
Speaker 1: people are just desensitized to the risk as because if

817
00:50:03,400 --> 00:50:05,279
Speaker 1: they've gotten this far in your mind, you're like, I

818
00:50:05,320 --> 00:50:06,960
Speaker 1: don't know if I go, if I was gonna get it,

819
00:50:06,960 --> 00:50:09,680
Speaker 1: I probably would have got it him. I'm probably good anyway.

820
00:50:09,800 --> 00:50:13,960
Speaker 1: And also I think just many people have just like

821
00:50:14,000 --> 00:50:18,200
Speaker 1: even if they acknowledge the pandemic, they've just personally prioritized

822
00:50:18,280 --> 00:50:23,680
Speaker 1: this feeling of getting back to like normal. And as look,

823
00:50:23,719 --> 00:50:26,760
Speaker 1: I'll say this, it's definitely safer than an indoor arena.

824
00:50:27,280 --> 00:50:29,600
Speaker 1: But when you consider a lot of other ballparks have

825
00:50:29,640 --> 00:50:32,360
Speaker 1: been operating and not even close to full capac like

826
00:50:32,440 --> 00:50:36,520
Speaker 1: forty or fifty, this is like it's a little eerie

827
00:50:36,640 --> 00:50:39,200
Speaker 1: to think about because we look at countries in Europe,

828
00:50:39,239 --> 00:50:41,680
Speaker 1: they've started to reopen and we're starting to see it

829
00:50:41,920 --> 00:50:47,760
Speaker 1: trend upward again. So you know, money though got sponsors,

830
00:50:47,880 --> 00:50:52,640
Speaker 1: money sponsors, but also as in the seats, and also

831
00:50:52,680 --> 00:50:56,960
Speaker 1: there seems to be a cultural like a certain cultural milieu,

832
00:50:57,080 --> 00:51:01,000
Speaker 1: were like being the first to reopen is like, hell, yeah,

833
00:51:01,040 --> 00:51:04,640
Speaker 1: that's what I'm talking about, brother type thing. It would

834
00:51:04,640 --> 00:51:08,120
Speaker 1: be so shitty to get COVID, like after you know,

835
00:51:08,280 --> 00:51:12,040
Speaker 1: there's the vaccines available, people are getting vaccinated, like now

836
00:51:12,120 --> 00:51:14,560
Speaker 1: would be a horrible I mean, it's always a horrible

837
00:51:14,600 --> 00:51:19,640
Speaker 1: time to lose somebody, but it's just how we're more likely,

838
00:51:20,040 --> 00:51:23,360
Speaker 1: you know, catch a baseball game, be asymptomatic, bring it

839
00:51:23,400 --> 00:51:26,799
Speaker 1: home to your elderly relative who you know only has

840
00:51:26,840 --> 00:51:29,560
Speaker 1: their first dose and killed them, or get them right,

841
00:51:29,640 --> 00:51:34,080
Speaker 1: or has their first dose the day the next day, right. Yeah.

842
00:51:34,120 --> 00:51:36,719
Speaker 1: I started getting a little confident after my first shot.

843
00:51:36,800 --> 00:51:40,240
Speaker 1: I was like, Okay, I might go to a coffee shop,

844
00:51:41,400 --> 00:51:43,839
Speaker 1: take coffee to go. You're like, I might eat at

845
00:51:43,840 --> 00:51:48,160
Speaker 1: this hometown buffet, demand that they open. Yeah. When I

846
00:51:48,239 --> 00:51:51,120
Speaker 1: was on spring break on Miami Beach the other day

847
00:51:51,160 --> 00:51:56,200
Speaker 1: with my family, uh, I took my kids on vacation

848
00:51:56,800 --> 00:51:59,600
Speaker 1: for spring break, and we I witnessed a thing that

849
00:52:00,080 --> 00:52:05,240
Speaker 1: made me like really feel for any parents of teenage kids,

850
00:52:05,320 --> 00:52:08,360
Speaker 1: where like this teenager was like wearing his mask around

851
00:52:08,400 --> 00:52:11,960
Speaker 1: his neck and his mom was like, what are you doing? Like, stop,

852
00:52:12,040 --> 00:52:14,800
Speaker 1: do you want to kill us? And he was just like, yeah,

853
00:52:14,280 --> 00:52:17,920
Speaker 1: I want to kill Grandma. I want to kill It

854
00:52:18,000 --> 00:52:27,239
Speaker 1: was just like oh like entitled teenage white kid, like

855
00:52:27,760 --> 00:52:36,239
Speaker 1: just like teen ship head. Yeah, okay, I'm sorry the dad.

856
00:52:36,320 --> 00:52:38,680
Speaker 1: The dad was like just stop both of you because

857
00:52:38,680 --> 00:52:41,600
Speaker 1: the mom was like really taking it there, and like,

858
00:52:41,880 --> 00:52:44,400
Speaker 1: you know, there were people around. It was it was

859
00:52:44,440 --> 00:52:48,160
Speaker 1: pretty wild. It was It was like getting a front

860
00:52:48,239 --> 00:52:51,480
Speaker 1: row seat to a live action familial meltdown on poor

861
00:52:51,640 --> 00:52:54,719
Speaker 1: on par with a force made. I'm telling you, the

862
00:52:55,520 --> 00:53:00,960
Speaker 1: YouTube clips are gonna be popping when we enter society again.

863
00:53:01,160 --> 00:53:04,200
Speaker 1: Motherfucker's don't know how to act. And a lot of

864
00:53:04,239 --> 00:53:07,239
Speaker 1: people are stressed and a lot of you know, it's

865
00:53:07,239 --> 00:53:09,319
Speaker 1: the same thing, that's the same phenomenon. Why so many

866
00:53:09,360 --> 00:53:11,920
Speaker 1: fights happened at Chucky Cheese and ship at kid's birthday

867
00:53:11,920 --> 00:53:14,640
Speaker 1: places Like oh I didn't know that, Oh yeah, Because

868
00:53:14,640 --> 00:53:17,279
Speaker 1: it's like a combination of like stressed parents who want

869
00:53:17,360 --> 00:53:19,279
Speaker 1: to do well for their kids. But it's sort of

870
00:53:19,320 --> 00:53:22,440
Speaker 1: like but also like you might yeah, but so like it,

871
00:53:22,680 --> 00:53:25,360
Speaker 1: and like some places have alcohol so tensions like boil

872
00:53:25,480 --> 00:53:27,680
Speaker 1: over because like a ton of group parties on top

873
00:53:27,680 --> 00:53:30,800
Speaker 1: of it, like the energy can just be weird anxious,

874
00:53:30,920 --> 00:53:34,040
Speaker 1: especially like if people have weird family situations, is another

875
00:53:34,160 --> 00:53:37,040
Speaker 1: layer of complexity that you're bringing into them. If one

876
00:53:37,080 --> 00:53:41,439
Speaker 1: person errently bumps into you, it's like what now. So yeah,

877
00:53:41,800 --> 00:53:44,880
Speaker 1: I've imagined I will see a lot of like couples fights,

878
00:53:45,280 --> 00:53:49,840
Speaker 1: family fights. I've been telling myself, like for the opening

879
00:53:50,120 --> 00:53:52,840
Speaker 1: reopening of the world, I keep like telling myself in

880
00:53:52,880 --> 00:53:54,759
Speaker 1: my head, I'm like, it's gonna be okay, Like you

881
00:53:54,800 --> 00:53:59,600
Speaker 1: don't have to go anywhere right away, don't worry about fomo, like,

882
00:53:59,680 --> 00:54:02,239
Speaker 1: just take your time, e's your way, and like I

883
00:54:02,280 --> 00:54:06,080
Speaker 1: am just telling myself that over and over because you

884
00:54:06,120 --> 00:54:08,120
Speaker 1: think that will be that will be a big like

885
00:54:08,160 --> 00:54:11,279
Speaker 1: you'll be fighting your fear of missing out alongside like

886
00:54:11,400 --> 00:54:16,320
Speaker 1: re entry anxiety. I mean, I'm comfortable, like I'm fine

887
00:54:16,440 --> 00:54:19,400
Speaker 1: in my house right right, right, But but yeah, I

888
00:54:19,400 --> 00:54:21,319
Speaker 1: think part of me is like I don't want to

889
00:54:21,320 --> 00:54:24,359
Speaker 1: miss the roaring twenties. But also part of me is like,

890
00:54:24,800 --> 00:54:29,080
Speaker 1: it's fine, We're safe in here. Yeah, worried you eventually

891
00:54:29,120 --> 00:54:32,000
Speaker 1: have to switch gears at some point, but yeah, ye

892
00:54:33,080 --> 00:54:36,440
Speaker 1: all at our own pace. Exactly that part of my

893
00:54:36,480 --> 00:54:40,920
Speaker 1: brain I think never formed the FOMO part like I

894
00:54:40,960 --> 00:54:47,879
Speaker 1: think I'm like, that's I got phobo fear of going out.

895
00:54:49,680 --> 00:54:54,759
Speaker 1: I think that's just called social exact. That's weird. I

896
00:54:54,800 --> 00:54:57,000
Speaker 1: don't know why I don't have POMO. It's like, oh,

897
00:54:57,040 --> 00:55:01,279
Speaker 1: because I get nervous and uncomfortable. I'm as as like

898
00:55:01,680 --> 00:55:05,839
Speaker 1: out spoken and gregarious and you know, uh, you know,

899
00:55:06,040 --> 00:55:09,240
Speaker 1: energetic as I am. Certain times I'm really not working,

900
00:55:09,440 --> 00:55:12,319
Speaker 1: Like before the pandemic, there are situations where I don't

901
00:55:12,320 --> 00:55:15,279
Speaker 1: want to blindly go to just some like some random

902
00:55:15,320 --> 00:55:18,680
Speaker 1: get together of people like her will be like, oh,

903
00:55:18,760 --> 00:55:21,200
Speaker 1: so and So's birthday. I'm like, I don't know who's that. Like, Oh,

904
00:55:21,280 --> 00:55:23,399
Speaker 1: I used to work on this project with them. I'm like, well,

905
00:55:23,440 --> 00:55:25,640
Speaker 1: I know anybody there. She's like no, but it'll be fun.

906
00:55:25,760 --> 00:55:29,280
Speaker 1: And I'm like ship cut to me in the corner

907
00:55:29,400 --> 00:55:32,160
Speaker 1: like hi, and being like do you smoke? No? All right,

908
00:55:32,200 --> 00:55:42,600
Speaker 1: I'm like, nobody smokes here. It's a brick. We want

909
00:55:42,600 --> 00:55:47,239
Speaker 1: to say a quick A dude to Yahoo answers what

910
00:55:47,280 --> 00:55:50,560
Speaker 1: one of the greatest to ever do it? How is

911
00:55:50,600 --> 00:55:56,000
Speaker 1: Babby forms? Yeah? Maybe the best thing that anybody ever

912
00:55:56,040 --> 00:55:59,240
Speaker 1: found on the internet. Apparently that was found by uh

913
00:55:59,560 --> 00:56:04,239
Speaker 1: at on Twitter John Hedron Wow for an article that

914
00:56:04,320 --> 00:56:09,120
Speaker 1: he was writing for something Awful, which Katie Natopolis from

915
00:56:10,120 --> 00:56:13,960
Speaker 1: BuzzFeed pointed that out in her article h in her

916
00:56:14,000 --> 00:56:18,000
Speaker 1: oh bit on Yahoo answers. But that's just I feel

917
00:56:18,040 --> 00:56:20,680
Speaker 1: like we should do more internet sourcing of like people

918
00:56:20,680 --> 00:56:23,680
Speaker 1: who started memes and like the fact that that was

919
00:56:24,239 --> 00:56:26,440
Speaker 1: I don't know, he should win a Peabody for finding

920
00:56:26,440 --> 00:56:30,760
Speaker 1: that Yahoo answers. Yeah, it's vital to our our modern

921
00:56:30,840 --> 00:56:34,480
Speaker 1: day internet vocabulary. Yeah. Wait, so does that mean it

922
00:56:34,680 --> 00:56:36,840
Speaker 1: is also was Gregnant from that or was that from Cora?

923
00:56:37,719 --> 00:56:40,839
Speaker 1: I think it might have been. But the so all

924
00:56:40,920 --> 00:56:43,400
Speaker 1: of Yahoo is going to be wiped, All of Yahoo

925
00:56:43,440 --> 00:56:46,479
Speaker 1: Answers is gonna be wiped from the Internet. Come on,

926
00:56:47,120 --> 00:56:53,200
Speaker 1: somebody turned it into something quick. Somebody preserve it. The

927
00:56:53,239 --> 00:56:58,080
Speaker 1: Library of Congress has like every tweet ever. No, you know, no,

928
00:56:58,320 --> 00:57:01,160
Speaker 1: am I gregnant? It out out to the realist one

929
00:57:01,880 --> 00:57:07,239
Speaker 1: is yah who answers? Help? You know? Is there a

930
00:57:07,239 --> 00:57:16,520
Speaker 1: possibility that I'm pegrant? Yeah, there's some. There's some great ones,

931
00:57:16,840 --> 00:57:20,640
Speaker 1: you know, just looking through I can't see myself on

932
00:57:20,720 --> 00:57:25,880
Speaker 1: Google Earth question mark on them. Oh no really, they

933
00:57:26,000 --> 00:57:30,200
Speaker 1: thought it's a there's that. Okay, I like that. I

934
00:57:30,280 --> 00:57:33,360
Speaker 1: really like the I like what this person thought Google

935
00:57:33,400 --> 00:57:38,800
Speaker 1: Earth was and I appreciate them. That's like go outside

936
00:57:38,840 --> 00:57:41,360
Speaker 1: and anywhere. Okay, I'm gonna tell my cousin to go

937
00:57:41,400 --> 00:57:47,600
Speaker 1: outside right now. In France. Uh yeah, there there's just

938
00:57:47,640 --> 00:57:51,600
Speaker 1: a lot of great ones out there. But unfortunately we

939
00:57:51,680 --> 00:57:54,960
Speaker 1: have to move on to Uh. I think a coming

940
00:57:55,000 --> 00:57:57,560
Speaker 1: attraction that a lot of people have on their calendar.

941
00:57:58,360 --> 00:58:01,480
Speaker 1: The Late night Game is a out to fucking change

942
00:58:01,680 --> 00:58:06,680
Speaker 1: you guys. Fox has entered the game. Greg gutt felt,

943
00:58:06,720 --> 00:58:10,520
Speaker 1: in fact, uh one of the great wits of Air,

944
00:58:10,960 --> 00:58:14,040
Speaker 1: shittiest guy from the five, the guy from the five.

945
00:58:14,680 --> 00:58:18,800
Speaker 1: It was, you know, I hate music? What happened to

946
00:58:19,360 --> 00:58:22,800
Speaker 1: I like? Radio Head is garbage? What are you gonna do?

947
00:58:23,000 --> 00:58:26,520
Speaker 1: I think? I think four Non Blondes is also trash.

948
00:58:26,720 --> 00:58:32,320
Speaker 1: Linda Perry is a terrible songwriter. Okay, um really, but

949
00:58:32,400 --> 00:58:35,200
Speaker 1: that's like how that's where his takes are. Says something

950
00:58:35,200 --> 00:58:38,439
Speaker 1: that is so like just like like you're like your

951
00:58:38,480 --> 00:58:41,160
Speaker 1: take actually indicates you don't know anything about what you're

952
00:58:41,160 --> 00:58:43,680
Speaker 1: talking about. You just decided to go just to be

953
00:58:43,720 --> 00:58:48,440
Speaker 1: contrarian and then just like dig in. But yes, he

954
00:58:48,640 --> 00:58:52,960
Speaker 1: is getting actually, in fact, his show has already premiered.

955
00:58:53,040 --> 00:58:57,959
Speaker 1: It it premiered Monday. The Greg Gutfeld Show is going

956
00:58:58,000 --> 00:59:01,160
Speaker 1: to be I guess, his own fucking late night show

957
00:59:01,360 --> 00:59:05,000
Speaker 1: to go toe to toe with like actual fucking late

958
00:59:05,120 --> 00:59:07,000
Speaker 1: night shows, you know, the ones that have like fucking

959
00:59:07,240 --> 00:59:12,040
Speaker 1: writer's rooms filled with like talented comedians and ship um.

960
00:59:12,120 --> 00:59:14,920
Speaker 1: And so this is as he's saying, it's a it's

961
00:59:14,920 --> 00:59:16,760
Speaker 1: a talk show on a cable news network, and it's

962
00:59:16,840 --> 00:59:19,160
Speaker 1: run by somebody who's not a typical newscaster. I'm not

963
00:59:19,200 --> 00:59:21,360
Speaker 1: like any of the competing hosts. I'm not a comedian

964
00:59:21,560 --> 00:59:23,800
Speaker 1: who just so you know, he's a bestselling author who

965
00:59:23,800 --> 00:59:25,600
Speaker 1: came from to Fox in two thousand seven after a

966
00:59:25,600 --> 00:59:28,120
Speaker 1: career as a writer and editor, including the UK edition

967
00:59:28,120 --> 00:59:32,960
Speaker 1: of Maxim and his billboard is awesome. It's actually, if

968
00:59:33,000 --> 00:59:35,320
Speaker 1: you know, l a like on Hollywood Boulevard, that's where

969
00:59:35,400 --> 00:59:39,680
Speaker 1: Jimmy Kimmel uh has record tapes his show. And right

970
00:59:39,720 --> 00:59:42,360
Speaker 1: there on Hollywood Boulevard they put up their billboard behind

971
00:59:42,400 --> 00:59:46,960
Speaker 1: the Roosevelt and it says canceled. Culture just got canceled.

972
00:59:47,360 --> 00:59:52,480
Speaker 1: Gutfeld week nights at eight gut failed exclamation point. It

973
00:59:52,560 --> 00:59:56,760
Speaker 1: is good that his show title is gut Felt exclamation point. Uh.

974
00:59:56,800 --> 01:00:00,200
Speaker 1: It's also written in Garfield fund for some reason. No,

975
01:00:01,320 --> 01:00:04,160
Speaker 1: I think that's because that is the most influential comedian

976
01:00:04,320 --> 01:00:08,200
Speaker 1: in the I mean, considering how many letters it shares,

977
01:00:08,320 --> 01:00:11,760
Speaker 1: Garfield and Gutfeld. Like maybe it was a very easy

978
01:00:11,880 --> 01:00:16,800
Speaker 1: decision for a very unimaginative, like graphic person who's unfortunately

979
01:00:17,000 --> 01:00:19,640
Speaker 1: to work there. They were just like they just took

980
01:00:19,640 --> 01:00:25,320
Speaker 1: it and just like copied and pasted it around. It's done. Yeah,

981
01:00:26,280 --> 01:00:28,320
Speaker 1: Like this person is a genius man. They always come

982
01:00:28,360 --> 01:00:31,640
Speaker 1: through the sickest graphics and like they're fucking dumb um.

983
01:00:31,680 --> 01:00:34,120
Speaker 1: So what kind of racism and vitriol can we expect

984
01:00:34,400 --> 01:00:36,280
Speaker 1: on the show? Well, I just want to just looking

985
01:00:36,280 --> 01:00:37,480
Speaker 1: back at some of the things he talked about in

986
01:00:37,480 --> 01:00:39,800
Speaker 1: the last month on the five. This is what they're saying.

987
01:00:39,800 --> 01:00:43,040
Speaker 1: Recent topics have included former President Bill Clinton participating in

988
01:00:43,080 --> 01:00:45,720
Speaker 1: a women's empowerment talk, and he said, like having Woody

989
01:00:45,760 --> 01:00:50,919
Speaker 1: Allen directed Teen Choice Awards, the quote quoke implosion at

990
01:00:50,960 --> 01:00:54,160
Speaker 1: teen Vogue. I think that was from the Alexeie mccammond

991
01:00:54,320 --> 01:00:57,240
Speaker 1: fallout from her racist tweets. He said, A magazine and

992
01:00:57,280 --> 01:01:00,440
Speaker 1: a planet are being run by people with a lesson

993
01:01:00,680 --> 01:01:05,080
Speaker 1: mentalities and the race related controversies on The Bachelor and

994
01:01:05,160 --> 01:01:08,160
Speaker 1: the talk in which he said quote one can only

995
01:01:08,200 --> 01:01:12,240
Speaker 1: move forward if another is canceled. It seems wow. So

996
01:01:12,280 --> 01:01:14,040
Speaker 1: I want to play a couple of quick clips. So

997
01:01:14,320 --> 01:01:17,680
Speaker 1: those are all just uh like saying the exact same thing,

998
01:01:17,800 --> 01:01:20,080
Speaker 1: Like he has one take that he's just yeah, yeah,

999
01:01:20,080 --> 01:01:22,320
Speaker 1: it's just to be like, oh, this person is bad

1000
01:01:22,480 --> 01:01:24,640
Speaker 1: and so what they say is stupid. And also like,

1001
01:01:24,680 --> 01:01:27,480
Speaker 1: we're not racist, guys, Let's remember that. Let's all keep

1002
01:01:27,480 --> 01:01:29,600
Speaker 1: saying that we're not racist even though we are, because

1003
01:01:29,600 --> 01:01:31,280
Speaker 1: if we said we are, that has its own set

1004
01:01:31,280 --> 01:01:33,760
Speaker 1: of consequences that we're not willing to deal with by

1005
01:01:33,760 --> 01:01:37,000
Speaker 1: being chest out racists. So when he was promoting the show,

1006
01:01:37,000 --> 01:01:38,800
Speaker 1: I'll play two clips. This one is when he was

1007
01:01:38,840 --> 01:01:43,640
Speaker 1: promoting the show and comic genius former congress Person Trey

1008
01:01:43,680 --> 01:01:47,400
Speaker 1: Goudy from the Benghazi hearings has to just get his take,

1009
01:01:47,480 --> 01:01:50,440
Speaker 1: you know, as a comedian or non comedian wants to

1010
01:01:50,480 --> 01:01:52,200
Speaker 1: see like what's the show going to be like? So

1011
01:01:52,320 --> 01:01:54,400
Speaker 1: just to get an idea of how he was talking

1012
01:01:54,400 --> 01:02:00,680
Speaker 1: about the show. Yeah, Well, Greg, just once you're a question.

1013
01:02:00,720 --> 01:02:03,440
Speaker 1: The funniest people I know were often introverts, and it's

1014
01:02:03,520 --> 01:02:06,680
Speaker 1: much harder to be funny than people think. Is that

1015
01:02:06,720 --> 01:02:09,040
Speaker 1: true in your own life? I mean, it's hard to

1016
01:02:09,040 --> 01:02:12,960
Speaker 1: be funny. All that I don't. All I do is

1017
01:02:12,960 --> 01:02:16,880
Speaker 1: I just speak what's running through my brain. So oftentimes

1018
01:02:16,920 --> 01:02:19,960
Speaker 1: it's not funny. But it's the whole point of comedy

1019
01:02:20,240 --> 01:02:22,720
Speaker 1: is taking risks. So every time you open your mouth,

1020
01:02:22,760 --> 01:02:24,800
Speaker 1: you're basically jumping off a cliff and you never know

1021
01:02:24,800 --> 01:02:27,320
Speaker 1: where it's gonna go. That's why cancel culture is so

1022
01:02:27,400 --> 01:02:30,160
Speaker 1: damaging to people who are comedians, people who go out

1023
01:02:30,200 --> 01:02:32,200
Speaker 1: on stage. I'm not one of those people. I've never

1024
01:02:32,240 --> 01:02:34,640
Speaker 1: done stand up. I've always been okay to shut up.

1025
01:02:34,840 --> 01:02:39,280
Speaker 1: Just just shut up, shut up. If anyone out there

1026
01:02:39,480 --> 01:02:42,880
Speaker 1: is slightly smarter than him, just go out there, follow

1027
01:02:42,960 --> 01:02:45,720
Speaker 1: your dreams, because they're letting anyone do whatever they would

1028
01:02:46,080 --> 01:02:48,760
Speaker 1: and there's a chance that you can get your own.

1029
01:02:48,760 --> 01:02:51,360
Speaker 1: She Also, please do not look at comedy as just

1030
01:02:51,520 --> 01:02:54,640
Speaker 1: I'm gonna take the filter off and yell ship on stage,

1031
01:02:54,640 --> 01:02:56,560
Speaker 1: and that's and you know, he he's like jumping out

1032
01:02:56,560 --> 01:03:00,640
Speaker 1: of a plane. No, saying garbage ship on stage is

1033
01:03:00,720 --> 01:03:03,880
Speaker 1: jumping out of a plane because there are risks involved,

1034
01:03:03,920 --> 01:03:06,000
Speaker 1: but if you're actually a comedian, you will make people

1035
01:03:06,080 --> 01:03:09,040
Speaker 1: laugh and it might feel quite comfortable. You may feel

1036
01:03:09,120 --> 01:03:13,360
Speaker 1: good about it at the end. But anyway, so this

1037
01:03:13,440 --> 01:03:16,080
Speaker 1: is I was just googling trying to find out what

1038
01:03:16,080 --> 01:03:18,840
Speaker 1: the ratings have been like so far, and I found

1039
01:03:19,080 --> 01:03:23,080
Speaker 1: Fox's Greg Gutfeld Show tops Colbert Fallon Kimmel in late

1040
01:03:23,200 --> 01:03:26,800
Speaker 1: night ratings race. But that is from that is a

1041
01:03:26,840 --> 01:03:30,560
Speaker 1: different show that they tried to launch, hosted by Greg Gutfeld.

1042
01:03:30,640 --> 01:03:32,560
Speaker 1: So this is that they were like, you know, what

1043
01:03:32,640 --> 01:03:36,640
Speaker 1: the problem was with the Greg Gutfeld Show was the

1044
01:03:36,680 --> 01:03:40,000
Speaker 1: Greg and the show and the lack of exclamation point.

1045
01:03:40,840 --> 01:03:43,640
Speaker 1: So we're gonna give it another shot, as gut felled

1046
01:03:44,000 --> 01:03:51,440
Speaker 1: screaming alright. So then Monday he had the debut, and

1047
01:03:52,000 --> 01:03:55,040
Speaker 1: I look, we like comedy here. We've all worked with

1048
01:03:55,200 --> 01:03:58,680
Speaker 1: very hilarious people and do that for a living. Um.

1049
01:03:58,760 --> 01:04:03,440
Speaker 1: Let's check out our man's opening monolog just to just

1050
01:04:03,480 --> 01:04:06,240
Speaker 1: to get a sense of how how he's coming out swinging.

1051
01:04:06,720 --> 01:04:09,280
Speaker 1: All right, here we are again, a brand new show

1052
01:04:09,640 --> 01:04:12,240
Speaker 1: and a brand new Greg. I'm as giddy as Kamala

1053
01:04:12,280 --> 01:04:16,920
Speaker 1: Harris explaining kids in cages or Woody Allen hearing about

1054
01:04:17,040 --> 01:04:20,080
Speaker 1: kids in cages. If you've been watching the g G

1055
01:04:20,240 --> 01:04:23,200
Speaker 1: Show on Saturday's welcome, If you love the five and

1056
01:04:23,240 --> 01:04:26,080
Speaker 1: felt the need for more g G, that's awesome. If

1057
01:04:26,120 --> 01:04:28,520
Speaker 1: you ended up here because you thought your TV was

1058
01:04:28,560 --> 01:04:31,400
Speaker 1: the microwave oven, It's good to see you, Mr President.

1059
01:04:33,480 --> 01:04:36,440
Speaker 1: Your pizza will be warm in two minutes. And Hunter

1060
01:04:36,720 --> 01:04:45,000
Speaker 1: he brought the extra cheese. Uh yeah. How many people

1061
01:04:45,040 --> 01:04:48,840
Speaker 1: were in the audience? Was there like three? Who knows

1062
01:04:49,200 --> 01:04:53,440
Speaker 1: are they doing? Are they doing? Uh? Like the soup

1063
01:04:53,800 --> 01:04:57,280
Speaker 1: type thing where the like the studio audience is just

1064
01:04:57,440 --> 01:05:00,840
Speaker 1: the camera guy. Know, we're that whole thing. It was

1065
01:05:00,880 --> 01:05:03,440
Speaker 1: just him sitting on his backdrop and the sick of

1066
01:05:03,520 --> 01:05:09,960
Speaker 1: fans just giggled off camera. It's identical the every single time,

1067
01:05:10,120 --> 01:05:14,520
Speaker 1: Like you know, they had to reverse the laughter too. Yeah,

1068
01:05:15,480 --> 01:05:20,160
Speaker 1: and they're not even jokes. What are these jokes? I mean,

1069
01:05:20,200 --> 01:05:22,439
Speaker 1: the Bishop President one was the closest thing to a joke.

1070
01:05:22,640 --> 01:05:26,120
Speaker 1: I'll give him that. Yeah, and I think, yeah, that

1071
01:05:26,120 --> 01:05:30,160
Speaker 1: that's definitely like been used. It's because they only say

1072
01:05:30,200 --> 01:05:35,080
Speaker 1: the same ship and unfortunately, like you need a bit

1073
01:05:35,120 --> 01:05:39,240
Speaker 1: of empathy to be humorous on some level, like you

1074
01:05:39,400 --> 01:05:41,360
Speaker 1: kind of need to be able to be a little

1075
01:05:41,360 --> 01:05:43,560
Speaker 1: bit more open about what it means to be human,

1076
01:05:43,800 --> 01:05:48,000
Speaker 1: or like like what a mistake is or understanding irony

1077
01:05:48,440 --> 01:05:50,720
Speaker 1: takes a little bit more self awareness than some guys,

1078
01:05:50,760 --> 01:05:54,880
Speaker 1: like if you want more because who refers to himself

1079
01:05:54,880 --> 01:05:58,360
Speaker 1: by his own initials in the third person? Yeah? Do

1080
01:05:58,440 --> 01:06:01,919
Speaker 1: you ever watch really bad comedy and it just makes

1081
01:06:01,920 --> 01:06:05,160
Speaker 1: you sad because you're like, wow, not only did he

1082
01:06:05,240 --> 01:06:07,680
Speaker 1: find he think that this was good and funny, but

1083
01:06:07,760 --> 01:06:10,520
Speaker 1: like a few people were laughing at this too, and

1084
01:06:10,560 --> 01:06:14,439
Speaker 1: that means that they all have no empathy? Is well,

1085
01:06:15,120 --> 01:06:17,600
Speaker 1: that just made made a little a little sad. I

1086
01:06:17,640 --> 01:06:20,160
Speaker 1: just want to play um one. There's like a character

1087
01:06:20,240 --> 01:06:22,520
Speaker 1: bit they did where they brought in like a fake,

1088
01:06:23,440 --> 01:06:26,840
Speaker 1: hold on a fake like, I don't know what this

1089
01:06:26,960 --> 01:06:31,360
Speaker 1: is supposed to be, Just you, sir, all a race

1090
01:06:35,960 --> 01:06:43,880
Speaker 1: male Race to Kimmel is depulture, a crowdsourced version of

1091
01:06:43,880 --> 01:06:46,160
Speaker 1: a hit piece. I don't know. I mean, I I

1092
01:06:46,280 --> 01:06:49,040
Speaker 1: it's it's it's it's really hard to hear. But my

1093
01:06:49,160 --> 01:06:52,400
Speaker 1: favorite is underneath this one tweet that The Gutfeld Show

1094
01:06:52,440 --> 01:06:55,560
Speaker 1: tweeted out. Many of our past guests have just been

1095
01:06:55,680 --> 01:07:01,240
Speaker 1: Dunking in the tweet replies Cody Johnson, G job, great points,

1096
01:07:01,320 --> 01:07:03,560
Speaker 1: very funny, and well executed. I also appreciate that this

1097
01:07:03,640 --> 01:07:05,920
Speaker 1: Fox News show wants to stand up to people in

1098
01:07:05,960 --> 01:07:08,200
Speaker 1: the media who are trying to scare us. Look forward,

1099
01:07:08,200 --> 01:07:11,960
Speaker 1: looking forward to more, Alex Edelman, ll L, this is

1100
01:07:11,960 --> 01:07:15,360
Speaker 1: the worst monologue I've ever seen. It's actually kind of sublime. Greg,

1101
01:07:15,440 --> 01:07:17,880
Speaker 1: you hosted a show that had on two comedians a

1102
01:07:18,000 --> 01:07:20,560
Speaker 1: night for ten years. You couldn't hire one of them

1103
01:07:20,600 --> 01:07:22,920
Speaker 1: to write a monologue. Joe Splash teach you how to

1104
01:07:22,960 --> 01:07:31,640
Speaker 1: deliver one. Yeah, it's damn. It's so. It's really bad.

1105
01:07:31,680 --> 01:07:33,960
Speaker 1: It was actually worse than I expect. Honestly, I think

1106
01:07:34,040 --> 01:07:37,280
Speaker 1: Huckabee is expected to be very bad. Yeah, Huckabee is

1107
01:07:37,280 --> 01:07:42,080
Speaker 1: definitely better because Huckabee has a very specific voice that

1108
01:07:42,480 --> 01:07:45,840
Speaker 1: it doesn't make sense, but it's almost like poetry because

1109
01:07:45,880 --> 01:07:49,280
Speaker 1: it's a character of like a like an old boomer

1110
01:07:49,320 --> 01:07:51,520
Speaker 1: who has no idea what he looks like to the

1111
01:07:51,600 --> 01:07:53,720
Speaker 1: artrest of the world, and he's just living in a

1112
01:07:53,800 --> 01:07:55,919
Speaker 1: theater of his own mind where he is the star

1113
01:07:56,080 --> 01:07:59,320
Speaker 1: and like the funniest person. So it has this like curtain,

1114
01:07:59,360 --> 01:08:04,240
Speaker 1: real energy, like absurdist humor to his delivery. Gottfeld, Yeah,

1115
01:08:04,360 --> 01:08:07,640
Speaker 1: very surreal because you're inside the mind of somebody who

1116
01:08:07,680 --> 01:08:11,800
Speaker 1: like doesn't know how jokes work, but like you start

1117
01:08:11,880 --> 01:08:15,320
Speaker 1: to get a sense of like how they think jokes work,

1118
01:08:15,360 --> 01:08:17,680
Speaker 1: and so you're like, really, it's like a very a

1119
01:08:17,760 --> 01:08:22,360
Speaker 1: much more specific experience than than asshole like at your

1120
01:08:22,439 --> 01:08:25,679
Speaker 1: college coffee shop who's eventually was about to get coffee

1121
01:08:25,680 --> 01:08:32,360
Speaker 1: thrown on them, or even he's just searching for his voice. Yeah,

1122
01:08:32,439 --> 01:08:35,639
Speaker 1: he's only had twenty years at Fox, and you have

1123
01:08:35,840 --> 01:08:39,400
Speaker 1: people who are encouraging him. This one user in the

1124
01:08:39,439 --> 01:08:43,120
Speaker 1: street said, first episode, you get a pass, get better writers,

1125
01:08:43,200 --> 01:08:45,200
Speaker 1: and learn how to actually deliver jokes, and you may

1126
01:08:45,200 --> 01:08:48,240
Speaker 1: be onto something. I'm curious to see. I'm curious to

1127
01:08:48,240 --> 01:08:50,920
Speaker 1: see someone from the right actually be funny. But I

1128
01:08:50,960 --> 01:08:56,120
Speaker 1: think you can do it like a half jabby, like

1129
01:08:56,439 --> 01:08:59,160
Speaker 1: someone who I think kind of realizes the stakes here.

1130
01:08:59,160 --> 01:09:01,479
Speaker 1: It's like we're getting owned in the comedy stuff. Man,

1131
01:09:02,160 --> 01:09:04,640
Speaker 1: it's like someone who like, all right, man, so all right,

1132
01:09:04,800 --> 01:09:08,760
Speaker 1: let's you know that that was you know, shooters don't

1133
01:09:08,800 --> 01:09:10,920
Speaker 1: even think about their misses. So we're just gonna move

1134
01:09:11,040 --> 01:09:14,760
Speaker 1: right on from that comedy writers would be good. Uh,

1135
01:09:15,040 --> 01:09:17,840
Speaker 1: learning to deliver a joke would be well, we can

1136
01:09:17,840 --> 01:09:19,120
Speaker 1: do what we can do. These guys, we can do this.

1137
01:09:19,160 --> 01:09:21,320
Speaker 1: It's like someone who like really loves like their college

1138
01:09:21,320 --> 01:09:23,360
Speaker 1: team and they know, like, we just need a new coach, man,

1139
01:09:23,680 --> 01:09:25,479
Speaker 1: we just need a new coach and we'll be able

1140
01:09:25,520 --> 01:09:28,680
Speaker 1: to bang with the other schools because they're like, you're

1141
01:09:28,720 --> 01:09:31,200
Speaker 1: objective enough to know we're not doing it, So we

1142
01:09:31,240 --> 01:09:33,160
Speaker 1: need a new coach. But I know we can do it.

1143
01:09:33,200 --> 01:09:35,800
Speaker 1: That's how like conservative feel like when they're trying to

1144
01:09:35,880 --> 01:09:39,160
Speaker 1: cheer on their own. Commuy's like, yeah, yeah, bad show,

1145
01:09:39,240 --> 01:09:42,920
Speaker 1: bad writing, bad performance, but you know, just keep at it.

1146
01:09:43,520 --> 01:09:48,519
Speaker 1: But the idea I don't is there? Right, So rather

1147
01:09:48,520 --> 01:09:51,640
Speaker 1: than being like so nobody has ever been funny and

1148
01:09:51,720 --> 01:09:56,439
Speaker 1: conservative at the same time, and you are already bad

1149
01:09:56,520 --> 01:10:00,880
Speaker 1: at being a comedian, like so you would be uniquely

1150
01:10:00,920 --> 01:10:04,559
Speaker 1: ill suited to approach that. There's like someone's got to

1151
01:10:04,560 --> 01:10:07,559
Speaker 1: do it, Like, it's probably gonna be you. You're probably

1152
01:10:07,600 --> 01:10:11,840
Speaker 1: gonna get to get there. Sheroylyn. It has been such

1153
01:10:11,880 --> 01:10:15,280
Speaker 1: a pleasure having you on the show. Where can people

1154
01:10:15,600 --> 01:10:18,360
Speaker 1: find you and follow you? Thank you? I've had a

1155
01:10:18,400 --> 01:10:22,760
Speaker 1: great time. Uh, people can find me on the internet. Uh,

1156
01:10:23,000 --> 01:10:30,600
Speaker 1: Sherylyn underscore vera on Instagram and on Twitter without the underscore. Hey,

1157
01:10:30,640 --> 01:10:35,559
Speaker 1: I got an extra underscore in my my Instagram. Uh yeah,

1158
01:10:35,800 --> 01:10:39,479
Speaker 1: so you know same. Uh. Where is there a tweeter

1159
01:10:39,560 --> 01:10:43,439
Speaker 1: or some of the work of social media you've been enjoying? Yes,

1160
01:10:43,479 --> 01:10:47,400
Speaker 1: I found a tweet that I liked by Roy Wood Jr.

1161
01:10:48,000 --> 01:10:50,840
Speaker 1: He said, you posted that vaccine card. Now all of

1162
01:10:50,840 --> 01:10:53,240
Speaker 1: them vaccinated people you don't really want to hang with

1163
01:10:53,400 --> 01:10:55,559
Speaker 1: or hitting you up to go out. Should have kept

1164
01:10:55,560 --> 01:10:58,360
Speaker 1: your mouth closed. Now you had a socially distanced bowling

1165
01:10:58,400 --> 01:11:07,040
Speaker 1: on Wednesday night. You know, it's relatable content. Relatable content

1166
01:11:07,560 --> 01:11:10,960
Speaker 1: is what we love here. We recently launched a show

1167
01:11:11,000 --> 01:11:16,120
Speaker 1: with him, Roy's Job There, produced by Nick Stump, and

1168
01:11:16,320 --> 01:11:19,320
Speaker 1: it's a It's a winner, folks, go check it out.

1169
01:11:19,720 --> 01:11:26,759
Speaker 1: But he's like one of just genuinely NonStop funny human beings. Miles.

1170
01:11:26,760 --> 01:11:29,000
Speaker 1: Where can people find you? Follow you? Oh? You can

1171
01:11:29,040 --> 01:11:32,479
Speaker 1: find me on Twitter, Instagram at Miles of Gray. Also

1172
01:11:32,560 --> 01:11:36,920
Speaker 1: on the other podcast for twenty Day Fiancee UM and

1173
01:11:37,080 --> 01:11:40,759
Speaker 1: some of tweets that I like UM actually both related

1174
01:11:40,800 --> 01:11:43,600
Speaker 1: to stories we talked about today. Heno at j r

1175
01:11:43,680 --> 01:11:47,040
Speaker 1: Hennessy did a quote tweet that basically said, y'allho answers

1176
01:11:47,040 --> 01:11:49,400
Speaker 1: will be shut down forever on May fourth, and he

1177
01:11:49,479 --> 01:11:53,920
Speaker 1: tweets the burning of the Library of Alexandria. Uh and

1178
01:11:53,960 --> 01:11:56,040
Speaker 1: it feels like that. And then one more from Andrew

1179
01:11:56,080 --> 01:12:00,920
Speaker 1: T at Andrew t I uh says conservative comedy is

1180
01:12:01,040 --> 01:12:05,559
Speaker 1: about being principled and that principle is conserving the same

1181
01:12:05,680 --> 01:12:09,800
Speaker 1: like eight jokes to reuse for decades. And that's what

1182
01:12:09,840 --> 01:12:11,880
Speaker 1: we saw right there. Yep, it couldn't be more true.

1183
01:12:12,680 --> 01:12:18,639
Speaker 1: I want to read a little thread, oh Riffin from

1184
01:12:18,680 --> 01:12:23,120
Speaker 1: this person who. So it starts with a it's basically

1185
01:12:23,240 --> 01:12:27,120
Speaker 1: lyrics from the song I'm a Bit, uh, mixed with

1186
01:12:27,240 --> 01:12:31,880
Speaker 1: movie posters. Um. So it's I'm a bit, I'm a

1187
01:12:32,040 --> 01:12:36,600
Speaker 1: lover Robin Williams Disney's Flubber and from you responded to

1188
01:12:36,640 --> 01:12:40,799
Speaker 1: that with I'm a sinner, I'm a saint, what's eating

1189
01:12:40,920 --> 01:12:46,600
Speaker 1: Gilbert Gray? Uh? And then I'm your Hell, I'm your dream,

1190
01:12:46,640 --> 01:12:52,040
Speaker 1: I'm Hubie Halloween and they used the actual posters for it,

1191
01:12:52,600 --> 01:12:55,639
Speaker 1: and it's great. The first one is Chauncey Sugar Sweets,

1192
01:12:55,640 --> 01:13:00,839
Speaker 1: the second is Brad Carter, and the third is taran Ariana, Yeah,

1193
01:13:01,760 --> 01:13:04,479
Speaker 1: great tweets. Shout out to a year of the ant

1194
01:13:04,640 --> 01:13:09,080
Speaker 1: MFC Ericson for reporting that one to me. You can

1195
01:13:09,080 --> 01:13:12,439
Speaker 1: find me on Twitter at Jack Underscore O'Brien. You can

1196
01:13:12,439 --> 01:13:14,560
Speaker 1: find us on Twitter at Daily Zeitgeist r at The

1197
01:13:14,680 --> 01:13:18,280
Speaker 1: Daily Zeitgeist on Instagram. We have Facebook fan page and

1198
01:13:18,320 --> 01:13:21,439
Speaker 1: a website, Daily Zeitgeist dot com where we post our

1199
01:13:21,479 --> 01:13:25,080
Speaker 1: episodes and our footnotes or we link off to the

1200
01:13:25,160 --> 01:13:28,200
Speaker 1: information that we talked about in today's episode, as well

1201
01:13:28,240 --> 01:13:32,080
Speaker 1: as a song that we think you should go check

1202
01:13:32,080 --> 01:13:35,400
Speaker 1: out right now, Miles, what's the song that you think

1203
01:13:35,439 --> 01:13:38,439
Speaker 1: people should go to check out? The song to ride

1204
01:13:38,439 --> 01:13:41,560
Speaker 1: out on today? It looks just just just more remixery,

1205
01:13:41,600 --> 01:13:44,000
Speaker 1: but actually not remixery, more stuff they can only find

1206
01:13:44,000 --> 01:13:46,040
Speaker 1: on SoundCloud. Because I was just thinking the other day

1207
01:13:46,080 --> 01:13:50,519
Speaker 1: about concerts and going back and live music, and there's

1208
01:13:50,560 --> 01:13:53,120
Speaker 1: a song that Flying Lotus used to always play like

1209
01:13:53,320 --> 01:13:55,240
Speaker 1: or not always like if if you saw him live

1210
01:13:55,360 --> 01:13:58,599
Speaker 1: around two thousand nine ten, there was this track called

1211
01:13:58,720 --> 01:14:01,160
Speaker 1: King Midas that you would play in his sets, and

1212
01:14:01,200 --> 01:14:03,160
Speaker 1: I found on SoundCloud and I was just I had

1213
01:14:03,200 --> 01:14:07,360
Speaker 1: so many just like Sweaty Festival flashbacks, um and it made,

1214
01:14:07,479 --> 01:14:09,960
Speaker 1: gave me great joy and look and if y'all aren't

1215
01:14:09,960 --> 01:14:12,400
Speaker 1: really growned up on flying Lotus to get into it.

1216
01:14:12,800 --> 01:14:16,600
Speaker 1: So this is called King Midas Lost Remix Instrumental and

1217
01:14:16,680 --> 01:14:19,040
Speaker 1: it will be in the footnotes you can only get

1218
01:14:19,080 --> 01:14:25,439
Speaker 1: on SoundCloud. All right, Well, go listen to that The

1219
01:14:25,560 --> 01:14:28,880
Speaker 1: daily zeitgeys the production of I Heart Radio. From more

1220
01:14:28,920 --> 01:14:31,800
Speaker 1: podcasts from my heart Radio, visit the I Heart Radio app,

1221
01:14:31,840 --> 01:14:34,080
Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

1222
01:14:34,080 --> 01:14:36,719
Speaker 1: That's gonna do it for this morning. We are back

1223
01:14:36,760 --> 01:14:38,960
Speaker 1: this afternoon to tell you what's trending and we'll talk

1224
01:14:38,960 --> 01:14:40,400
Speaker 1: to you all time. Bye. By