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Speaker 1: Hello the Internet, and welcome to Season one, sixty, episode

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Speaker 1: two of The Daily Guys, 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 share consciousness and say, officially, off the top

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Speaker 1: fund the Cooke brothers go ahead and say it back. Yeah,

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Speaker 1: I gotta back. Yeah, that's not that's not acceptable for

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Speaker 1: Charles to just come in and be like, yeah, sorry

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Speaker 1: about that. I really fucked up. I guess he really

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Speaker 1: that ship like, like, yo, out of here, Charles Coke

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Speaker 1: gets sucking on bro and I see ugly for people

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Speaker 1: who didn't know. He had a interview last week, and

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Speaker 1: I think he has like a memoir coming out where

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Speaker 1: he's like, yeah, I shouldn't have made it so contentious there.

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Speaker 1: Boy did we screw up? I'm pretty sure was the

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Speaker 1: line they extracted from that thing. Boy did we screw okay?

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Speaker 1: Uh huh oh boy howdy. Anyways, it is Tuesday, November

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Speaker 1: sixty four days until January. My name is Jack O'Brien.

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Speaker 1: A K. Miles was working at Conde Nast saving his

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Speaker 1: hot takes for someday and the hose knee. I left

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Speaker 1: a note on the door. It said, funny is dude

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Speaker 1: in the country. You yeah, you should meet this guy.

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Speaker 1: His name is Jack ack tack Tack tack tack Tack.

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Speaker 1: You ought to know, Brian. That is courtesy of Snarls Barkley,

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Speaker 1: and I'm thrilled to be joined as always by my

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Speaker 1: co host, Mr Miles Gray. Look at this ballot jack

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Speaker 1: filled out with the sharpy It's intact. How did my

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Speaker 1: eyes get so red? Oh that's right. I smoked to

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Speaker 1: blood in bed. This is where I screwed up, got

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Speaker 1: distracted when I ripped this ball Now I don't know

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Speaker 1: how to end this song. No, no, nor, I'm not okay.

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Speaker 1: Thank you wonderful photographed nickelback a k keep them coming, Hannah,

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Speaker 1: Thank you, and shout out to Hannah Sultaus that Hannah

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Speaker 1: was responsible for the foret non blondes. Uh yeah yeah, yeah,

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Speaker 1: yeah yeah c k um oh, Brian, Well, we nearly

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Speaker 1: lost our guest that day with our singing. Yeah, almost

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Speaker 1: bounced on us. Yeah. Please please please please please we'll

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Speaker 1: talk regularly. We'll talk regular What on your normal journalism podcast?

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Speaker 1: People don't sing horribly offensively as as they introduce you.

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Speaker 1: How far are we following? Well, we are thrilled to

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Speaker 1: be joined in our third seat by the hilarious, the talented.

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Speaker 1: You do travel. What's going on? Is me? You Dot

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Speaker 1: a a k A young doodoo watches is too much?

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Speaker 1: Hanna a a k A old dude who watches too

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Speaker 1: much anime? Depending when you talk to uh, what's up?

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Speaker 1: Oh man, not much, you know, just how's how's in

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Speaker 1: New York? How's how's what's new over there? Oh it's

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Speaker 1: all right. I just got back. Um, so I've been

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Speaker 1: at I've been at my apartment mostly. Okay, Well, what

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Speaker 1: do you mean you just got back from I was

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Speaker 1: in h York, in the streets of New York. Yeah,

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Speaker 1: I was in. I was on the streets of New York.

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Speaker 1: I was you know, I just got just got back home. Uh, No,

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Speaker 1: I was in. I was in Beaute, Montana, of all places.

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Speaker 1: What were you doing in Montana? I was in. I was, Yeah,

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Speaker 1: I was going to just hanging out with some of

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Speaker 1: my biker friends. Um, just in the middle, like it

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Speaker 1: was kind of a lot of us just kind of

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Speaker 1: you know, packed into a parking lot. Um just you know, shaking,

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Speaker 1: hand hugging, kissing, you know, typical biker fan. Um. Yeah, no,

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Speaker 1: I was I was I was shooting a movie. Oh cool,

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Speaker 1: What was that like on set? Because I know, I

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Speaker 1: mean having friends and family and production, it's it seems

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Speaker 1: like a lot more going there, a lot more work,

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Speaker 1: especially for crew. Yeah, it's um, I've been I've been

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Speaker 1: tested four times in the past week. I think, just

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Speaker 1: make sure I'm not sick. And there was a period

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Speaker 1: where I was not allowed to leave my room and uh.

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Speaker 1: And also the hotel might have been haunted, so that

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Speaker 1: I think that was unrelated to I think that would

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Speaker 1: have been the case. That would have been the case

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Speaker 1: regardless of COVID. But you know, it was just I mean,

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Speaker 1: it's basically the premise of the Shining. It's just that

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Speaker 1: instead of a blizzard keeping you inside the hotel, it

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Speaker 1: is the coronavirus pandemic, but you still coronavirus pandemic. And

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Speaker 1: also a lot of racist people's hold on Jack, we

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Speaker 1: gotta we got a script going there. Were you able

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Speaker 1: to feel the local racism in Beaute? It was weird

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Speaker 1: because I I feel like, um, because of COVID, Asian

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Speaker 1: people are getting it harder than black people right now.

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Speaker 1: And so there was an Asian dude on cast who

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Speaker 1: definitely felt it. I felt like people were being too

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Speaker 1: nice to me, like im Yeah, Like two people asked

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Speaker 1: me for money on the street, and then I went

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Speaker 1: back and talk to the rest of the cast. I

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Speaker 1: was like, people asking you for money, and all of

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Speaker 1: them were like, no, nobody's asked any of us. I

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Speaker 1: was like, it's like this weird thing where they feel

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Speaker 1: like they have to ask me because they're like, oh,

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Speaker 1: he's not like guaranteed to be poor anymore. It's not

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Speaker 1: that it's not like that. B people have money, You're

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Speaker 1: a rich person in my mind, I'm not racist. Yeah. Also,

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Speaker 1: one of them was Australian, which was very weird to me.

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Speaker 1: So they were begging on the street and they were Australia.

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Speaker 1: Was a whole Australian man with blonde dreadlocks. I was

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Speaker 1: just gonna ask if he had dreadlocks. Yes, he absolutely did.

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Speaker 1: He was exactly the type of person you think he was, uh,

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Speaker 1: And it just made me feel sad. It was like,

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Speaker 1: you gave up health insurance to live in a mining

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Speaker 1: town all the time, you know, like you might be

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Speaker 1: safer in Australia with those dreads. Yeah, it's gotta be

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Speaker 1: a rough climate. To be unhoused in. Yeah, yeah, it's

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Speaker 1: probably pretty bad, but I don't I don't know. It

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Speaker 1: was just like it was just a very it was

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Speaker 1: a very weird place. There was also there was also

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Speaker 1: one bar that everybody told me very specifically not to

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Speaker 1: go into because nobody was wearing a mask. And I

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Speaker 1: walked outside one day and there was just one dude

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Speaker 1: standing outside in this haunted ass town, two teeth in

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Speaker 1: his mouth, and he looked at me, and I looked

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Speaker 1: back at him, and he goes, hey, man, you okay.

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Speaker 1: I was like no, and then he just and then

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Speaker 1: he points to the he points to the bar that

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Speaker 1: everybody told me to not go into, and he just goes,

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Speaker 1: have you ever been in here before? And I was

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Speaker 1: like no, and I don't plan to, And I kept moving. Yeah,

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Speaker 1: all right, think about it. I will think about brushing

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Speaker 1: my teeth as soon as they get back. Yeah. Wow, interesting.

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Speaker 1: It's a weird place. Yeah, that's about what I would

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Speaker 1: have expected a weather in New York? Is it? Uh?

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Speaker 1: Are you guys still in shorts? Because we have people

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Speaker 1: dunking on us from Brooklyn being like, oh man, it's

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Speaker 1: it's fantastic. It's not bad it's um especially coming from

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Speaker 1: like nineteen degree weather, is you know, yeah, you must

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Speaker 1: be like you're in a tank top now, oh yeah,

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Speaker 1: reflective panel in a sun chair. Oh yeah, I'm out

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Speaker 1: shirt off, sitting on the roof, just uh tanning, but

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Speaker 1: like as a bit right right, yeah, like it's not

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Speaker 1: it's not doing anything. It's just yeah, just to funk

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Speaker 1: with the Google Earth photographer. Yeah, alright, let's uh tell

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Speaker 1: the people what we're listening to and then we'll get

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Speaker 1: to know you a little bit better in a moment.

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Speaker 1: There is another new vaccine trial that was made public,

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Speaker 1: and that one is ninety four point five effective. The

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Speaker 1: last one that we were all impressed with was ninety

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Speaker 1: So the wow, they're they're nailing these vacs recipes that chefs.

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Speaker 1: Who were they who were they testing? Who are they

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Speaker 1: testing on? I think Americans? Actually, I think, oh yeah,

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Speaker 1: yeah yeah, white Americans, I hope. I think I think anybody.

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Speaker 1: I think, yeah, yeah, okay, just very nervous, always very nervous,

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Speaker 1: you know. Yeah, no, yeah, I'm sure that for all

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Speaker 1: the talk of like the vaccines, now we'll see how

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Speaker 1: racist is it is when they talked about they need

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Speaker 1: to get the vaccines to first. Yeah, who needs the first?

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Speaker 1: The people who can afford to stay inside and not

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Speaker 1: do anything, and people who were actually out there day

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Speaker 1: to day doing essential work that is vital to our

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Speaker 1: you know, lives moving. Has anybody talked about that yet?

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Speaker 1: Like in Contagion the what what is turning out to

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Speaker 1: be a documentary? The way they did it was like

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Speaker 1: by social Security number I think, or something like the

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Speaker 1: dray where they start from one. Yeah, yeah, they start

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Speaker 1: from one. The person who has social Security number is one.

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Speaker 1: Dust off the Brian McKnight memes again if that really

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Speaker 1: is the way they do it, because like how they're

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Speaker 1: given to the vaccine with social Security numbers one and true? Like, oh,

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Speaker 1: I thought we were talking about the other Brian McKnight

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Speaker 1: song where he goes, let me show you how your

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Speaker 1: pussy was. Thanks Dr McKnight. We're gonna talk about we're

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Speaker 1: we're beyond contact tracing, so all we can do right

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Speaker 1: now is kind of speculate as to how people are

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Speaker 1: catching coronavirus because it's kind of going out of control.

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Speaker 1: So we'll talk about that. We'll talk about the weekend

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Speaker 1: that Trump and his supporters had. Uh, We'll talk about

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Speaker 1: how lockdown is affecting our memories. Will check in with Ellen,

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Speaker 1: will check in with a fight club, might even check

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Speaker 1: in with Parlor if we have the time and plenty more.

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Speaker 1: But first, you know, oh yeah, what is something from

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

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Speaker 1: So I was in Montana for the past week and

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Speaker 1: the last two things on my search history are one

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Speaker 1: the count from Sesame Street and to liquor store near me.

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Speaker 1: See how these couple of seconds of each other? Why

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Speaker 1: why the count? You know what? I don't remember? Oh

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Speaker 1: you know what it was. It was. It was when

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Speaker 1: they were talking about stopping the count for the election,

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Speaker 1: and I, yeah, and I and I and I quote

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Speaker 1: tweeted somebody with a picture of the count and said

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Speaker 1: it ain't stopping ship. Yeah. I think actually that is

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Speaker 1: the best way to dump on somebody too. Oh yes,

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Speaker 1: so fake and like it's like it's I've never heard

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Speaker 1: fuck you be more elegant? Two three, um fourteen thousands.

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Speaker 1: Trump is losing by yeah, wait for the recount, wait

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Speaker 1: for the re account. That's all nine. What is something

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Speaker 1: you think is overrated? Overrated? I'm gonna say, uh state socialism,

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Speaker 1: Uh socialism, by governments doesn't is a thing that doesn't

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Speaker 1: really work. You can start at the ground floor, you know,

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Speaker 1: grassroots things. Talk about the d s A do. I

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Speaker 1: do not trust them really, you know, it's very useful

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Speaker 1: things that they can that they have the power to

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Speaker 1: pass if they were to come into power. But that's

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Speaker 1: not it's episocialism that we need in the way. So

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Speaker 1: you're saying because the numerically there's not enough there to

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Speaker 1: actually affect things versus, but like at a community level,

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Speaker 1: like more through like mutual aid networks and things like that,

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Speaker 1: that we're able to have more substantive ways to help

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Speaker 1: each other. Exactly, I'm saying governments are not the way

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Speaker 1: to bring about socialism necessarily. People needs to be thinking

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Speaker 1: about what goes on in their workplace, which is also

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Speaker 1: a dictatorship. Right, That's how billionaires get made. Don't talk

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Speaker 1: spicy to that person. Look that Look that dude, he

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Speaker 1: makes a billion dollars and you've got and they have

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Speaker 1: a food drive for their own employees, right right right that. Yeah,

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Speaker 1: you do identify as a socialist on your Twitter bio.

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Speaker 1: So like you, you're just skeptical of waiting around for

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Speaker 1: it to come top skeptical of you know, just they're

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Speaker 1: not gonna let you vote in socialism, right, They're right,

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Speaker 1: they're not going to do it. Let's a good way

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Speaker 1: to play. Put it a lot of energy into into

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Speaker 1: violently suppressing socialist government. So why are they going to

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Speaker 1: let it happen here? You know? Yo, I'm reading the

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Speaker 1: book about the Bush Family, the Family of Secrets, uh Chop.

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Speaker 1: I was talking about that on their on their podcast,

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Speaker 1: and that really puts the whole how violent they're willing

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Speaker 1: to be in suppressing anything that isn't white supremacy and

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Speaker 1: conservative politics. They're they're they they'll kill you and get

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Speaker 1: away with it too. It's about death. It's like energetically,

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Speaker 1: it's not about growth. It's about death, like because you're

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Speaker 1: you're saying we're fixed now here and funk anything else.

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Speaker 1: So that means anything that's trying to get me to

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Speaker 1: expand I'm fucking destroying because I'm going to stay fixed

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Speaker 1: in this position. I will not experience growth. The energy

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Speaker 1: that I put out is to fun people up who

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Speaker 1: are trying to create growth, and this is life. Change

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Speaker 1: is life, you know what I mean? Good or bad?

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Speaker 1: Shit evolving, that's fucking life. Conservatives not about that. They're

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Speaker 1: about fucking stagnating and just holding onto this fucking thing

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Speaker 1: till it just kills everybody, conserving the existing order which

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Speaker 1: they happened to be at the top of and control.

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Speaker 1: Funny how that works. What is something you think is underrated? Oh,

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Speaker 1: making out without having sex. Sometimes you just gotta kiss

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Speaker 1: in Mike, Sometimes you just gotta get a little kissing.

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Speaker 1: You know what. Yeah, oh, man, hugging and kissing. Man,

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Speaker 1: I remember kissing, kissing and hugging. Yeah, there's something about

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Speaker 1: like when I like when I was single, Like I

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Speaker 1: don't like when you make out and your single is different.

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Speaker 1: It hits different. No shot at my partner or magic.

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Speaker 1: We talked about this all the time. It's like, is

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Speaker 1: it the same or it's like you almost like when

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Speaker 1: you first start dating someone, you make out wild, even

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Speaker 1: even before you have sex, because it's like we're not

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Speaker 1: having sex because we're making out. This is like what

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Speaker 1: it's all the energies and the kissing and you know

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Speaker 1: what I'm about, hugging and kissing, kissing, and we're just

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Speaker 1: hugging and kissing and kissing and hugging. You gotta like,

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Speaker 1: is is there something about kissing specifically that was resonant

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Speaker 1: that you were feeling, like, what happened to someone occurred

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Speaker 1: to you? Did you have a nice encounter? I don't know, man,

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Speaker 1: I was thinking about sometimes you know what you Sometimes

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Speaker 1: you just end up in a position where you're just

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Speaker 1: like I don't necessarily want to have sex right now,

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Speaker 1: but you don't. I like you. Yeah, I'm trying to

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Speaker 1: kiss on you, yeah kind of, you know sometimes sometimes

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Speaker 1: but people then people don't can't kiss good or kiss

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Speaker 1: or like you have to reconcile styles like some people do,

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Speaker 1: like the little turtle tongue or oh yeah like that.

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Speaker 1: It's just like peking out. It's like, look like a

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Speaker 1: turtle in the apple slice and you're like, yeah, I

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Speaker 1: need it. We need to sloppy, yapp passionate. Wow, we're

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Speaker 1: learning things about But that's so wild though. If they

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Speaker 1: give you the little turtle kiss to think the rest

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Speaker 1: is going to be better. Yeah, if at that point

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Speaker 1: it's not good, would be like, hey, you know what,

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Speaker 1: let me just let me just call it uber right now,

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Speaker 1: get out of my house. There was somebody went to

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Speaker 1: a different high school than me, and I'm not going

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Speaker 1: to give any details, but they had they were a

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Speaker 1: turtle kisser, and somebody knew like, yo, they kissed like

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Speaker 1: a turtle and you know you're sixteen, so everybody's wild toxic.

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Speaker 1: And then one of their friends was like, no, like

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Speaker 1: they have like that thing under their tongue is like

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Speaker 1: attached too far ahead of their from like the front

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Speaker 1: of their tongue. Yeah, so yeah, whatever you want called

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Speaker 1: the thing that's making you look like a loser in

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Speaker 1: high school was what we called it. Um but yeah

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Speaker 1: that and then they got a procedure to correct it,

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Speaker 1: and then they were out here fucking like lizard face

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Speaker 1: just like yeah, yeah. It was like so it was

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Speaker 1: a nice It was a nice comeback. You'd love to

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Speaker 1: see it, you know, I mean, yeah, I love to

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Speaker 1: see it. That was when my two year old was born.

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Speaker 1: The there was a doctor who came through. Yeah, yeah,

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Speaker 1: no big deal. I got kids. One of the few

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Speaker 1: people who's able to pull that off. But the doctor

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Speaker 1: came through the delivery room and gave us like this

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Speaker 1: really dark speech about why we should have our sons

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Speaker 1: like fremulum, like clipped about like how like kids are

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Speaker 1: so cruel and like their kid had like a fremulum

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Speaker 1: that was two connected, and then they spoke with a

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Speaker 1: speech and a mint and it was just like, yo,

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Speaker 1: this is this is um dark. Yeah, I want to

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Speaker 1: give I want to set this parental boat off on

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Speaker 1: the right foot and just give you a bunch of

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Speaker 1: things to be in your head about. Yeah. Yeah, just

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Speaker 1: make sure at a young age that your son can

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Speaker 1: kiss good. That's what she also mentioned that, Yeah, and

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Speaker 1: doesn't have a speech impediment. I'm like, what four year

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Speaker 1: old speaks clearly what I mean? Like you the whole time,

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Speaker 1: like funk, we had the freendulum cutting. They're still talking

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Speaker 1: like you don't. I don't know whatever. I don't haven't

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Speaker 1: been around enough kids to remember how kids talk. But yes,

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Speaker 1: kids are cruel. Uh, friend, you lum is apparently any

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Speaker 1: small fold of tissue that secures the motion of a

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Speaker 1: mobile oregan. So the one under the tongue, I guess

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Speaker 1: technically is one of many. You got one in your brain,

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Speaker 1: You got one of your digestive tract. Uh, your oral

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Speaker 1: tissue is the mouth, one, penile tissue and volvular tissue. Yeah. Yeah,

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Speaker 1: I can't kiss me because my friend, you M all right,

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Speaker 1: let's take your let's take a quick freak. We'll be

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Speaker 1: right back and we're back. And uh yeah, not a

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Speaker 1: whole lot other than on the vaccine front, other than

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Speaker 1: to say that's great. Uh it's Maderna is the company

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Speaker 1: and they expect to be able to get about twenty

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Speaker 1: million out this year, so that's super dope. Hopefully, yeah,

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Speaker 1: hopefully we find it. Yeah, hopefully we find a fair

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Speaker 1: way to distribute. Um. I wish there's a way for

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Speaker 1: you to like defer yours to give it to like

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Speaker 1: an essential worker, you know what I mean, because I

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Speaker 1: feel like they're I God, you just hope that that's

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Speaker 1: you know, this administration, you know, I mean if you

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Speaker 1: knowledge the Biden administration, because I don't watch fake Fox

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Speaker 1: News because I'm not gonna stop the steal. But if

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Speaker 1: they come into power and which looks like it will happen,

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Speaker 1: if they are going to have humane policies like or

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Speaker 1: it's just gonna be like or we'll do it so

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Speaker 1: like rich people can front like their essential workers and

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Speaker 1: they can get it real quick. Like there's a way

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Speaker 1: to game it, because there's always a way to game it.

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Speaker 1: And that's what I'm really concerned, because I would want

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Speaker 1: nothing more I would feel very fucked up and guilty

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Speaker 1: knowing I was having access to this ship and knowing

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Speaker 1: I have the privilege just screaming my bedroom all day

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Speaker 1: for work, just thinking about the you compared to the draft,

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Speaker 1: thinking about the fact that college students were able to defer,

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Speaker 1: like you couldn't hopefully you couldn't get away with that ship.

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Speaker 1: Now right now that like we've kind of uncovered the

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Speaker 1: fact that college is just like a training ground for

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Speaker 1: like class classism. Hopefully they're not like, well, we're going

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Speaker 1: to give it to college students first. Yeah, because I

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Speaker 1: know Fauci has been like they say, high risk, high

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Speaker 1: risk population will get it first, and I'm sure that's

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Speaker 1: like with people with like co morbidities, like when they

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Speaker 1: mean like physically, like if you got it, you fucked

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Speaker 1: around and you cannot find out what it will do

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Speaker 1: to you. So yes, right, and then you'd hope after

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Speaker 1: that it's like okay, and then now if you have

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Speaker 1: to go to like you're working alongside people and you're

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Speaker 1: at a higher risk because of the nature of your work,

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Speaker 1: please give that to those people. Um, but just by definition,

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Speaker 1: you could just safely say it's black and brown people

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Speaker 1: just looking at the data that you would want to

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Speaker 1: emphasize where this is going aside from the elderly, but

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Speaker 1: we look at the death the deaths in the hospitalization

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Speaker 1: its disproportionately hitting black and yeah, um, in Chicago it's

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Speaker 1: something wild like one in three Latin X people. The

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Speaker 1: infection rate is like one in three. It's really really yeah.

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Speaker 1: I mean, like if everything that has their version. But

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Speaker 1: like when you look at ship like that, you're like,

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Speaker 1: how can you like, how can any I know how

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Speaker 1: administrations can continue to ignore this ship because it costs

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Speaker 1: money and it me it eats into people's you know,

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Speaker 1: yacht money. But you'd hope, fuck like look at that

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Speaker 1: and say, this is a very easy thing. The problem

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Speaker 1: presented itself to us, and now we can go directly

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Speaker 1: at it and handle it. Yeah. They always have just

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Speaker 1: enough evidence to convince themselves that it's not a race.

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Speaker 1: They always have just enough, you know. And in this

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Speaker 1: case it is also you know, a poverty thing. But

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Speaker 1: that tends to skew heavily black and brown. Uh okay,

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Speaker 1: but ninety four point five that's good efficacy, man, Yeah,

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Speaker 1: that's really good. I mean we were shocked and FDA

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Speaker 1: is well like fifty, right, there will be like, okay,

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Speaker 1: you gotta hit at least fifty yeah, right, and that's

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Speaker 1: something that we'd be willing to distribute. Yeah, because I

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Speaker 1: mean the we'll still do flu flu shots in years

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Speaker 1: when it's like I think they've been as low as right. So, man,

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Speaker 1: I was just listening to like people who you know,

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Speaker 1: I respect, who have politics that like are not you know,

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Speaker 1: they're not like right wing anti actors. But they were like, yeah,

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Speaker 1: I never get flu shots. I would never I would

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Speaker 1: never get flu shots. And that's precious big difference between

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Speaker 1: never get and would never get right right, right, Yeah, Yeah,

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Speaker 1: it's like I just haven't had insurance. Your problem. All right,

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Speaker 1: let's talk about how COVID is currently spreading. You know,

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Speaker 1: we're still ahead of mass distribution of any vaccines, and

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Speaker 1: the numbers are the worst they've ever been, and we're

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Speaker 1: seeing that it's worse in rural counties now than it

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Speaker 1: is in cities, despite the fact that you know, in

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Speaker 1: its natural state, the disease would spread more in cities

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Speaker 1: because there's just more contact between people and more environments

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Speaker 1: where you would be transmissing transmitting the disease from one

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Speaker 1: person to the other, but right now it is raging

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Speaker 1: out of control in places like South Dakota, Montana. Um,

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Speaker 1: you know, so, I don't know. This Time magazine I've

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Speaker 1: always had, Time is currently a garbage publication, and they

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Speaker 1: wrote this article that treated it as a mystery that

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Speaker 1: Trump got the most support in counties where the virus

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Speaker 1: is the worst, as as that they're like, I don't know,

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Speaker 1: I mean maybe you know, they're they're just voters said

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Speaker 1: the coronavirus was the most important fact are in choosing

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Speaker 1: who they voted for. And then the fact that Trump

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Speaker 1: voters like, we're in counties that were where was the worst. Um,

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Speaker 1: it's obviously because Trump has told them not to wear masks,

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Speaker 1: and so it's the causal direction is not that they

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Speaker 1: live in counties where the disease is bad and are

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Speaker 1: therefore Trump supporters. It's that they're Trump supporters and the

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Speaker 1: culture in those counties as such that, uh, it's seen

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Speaker 1: as shameful to wear a mask or like behave as

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Speaker 1: the disease is dangerous. You're not gonna come over and

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Speaker 1: kick it raw with the homies, Okay, I see you,

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Speaker 1: Oh wow you Okay, you will cover up? Okay, what

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Speaker 1: do you a sailor. I don't know what the funk. Yeah,

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Speaker 1: it's it's it's just again, it's all about just like

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Speaker 1: feeling of not wanting to be in touch with your

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Speaker 1: own mortality. I mean, that's like some of them. You know.

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Speaker 1: It just turns out in counties where people love to sin,

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Speaker 1: people also like like the devil a lot people love

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Speaker 1: in these high sin counties. Right right, There's a nurse

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Speaker 1: in South Dakota who was talking about how, like multiple

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Speaker 1: of her patients, it's not just like one off, but

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Speaker 1: like many of her patients in South Dakota who died

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Speaker 1: of COVID insists that COVID isn't real, like with their

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Speaker 1: dying breath. You want me to play that clip? Yeah, yeah, yeah,

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Speaker 1: she's she was actually un CNN here she is. Yeah.

424
00:26:25,359 --> 00:26:27,760
Speaker 1: I think the hardest thing to watch is that people

425
00:26:27,840 --> 00:26:31,000
Speaker 1: are still looking for something else and they want a

426
00:26:31,080 --> 00:26:33,680
Speaker 1: magic answer, and they don't want to believe that COVID

427
00:26:33,800 --> 00:26:36,160
Speaker 1: is real. And the reason I tweeted what I did

428
00:26:36,400 --> 00:26:39,800
Speaker 1: is it wasn't one particular patient. It's just a culmination

429
00:26:39,840 --> 00:26:44,359
Speaker 1: of so many people and their last dying words are

430
00:26:45,160 --> 00:26:47,639
Speaker 1: this can be happening. It's not real. And when they

431
00:26:47,640 --> 00:26:51,800
Speaker 1: should be spending time face timing their families, they're filled

432
00:26:51,800 --> 00:26:59,399
Speaker 1: with anger and hatred. Wow that's fucking dark. Uh. You

433
00:26:59,440 --> 00:27:01,480
Speaker 1: know you on some level you think like at a

434
00:27:01,480 --> 00:27:03,840
Speaker 1: certain point like wow, like this could be happening. But

435
00:27:04,040 --> 00:27:07,760
Speaker 1: when you full like to that point where you're completely

436
00:27:07,800 --> 00:27:10,600
Speaker 1: in denial about what has happened to you, that sounds

437
00:27:11,480 --> 00:27:17,320
Speaker 1: fucking awful. But fuck, yeah, this can't be happening. It's

438
00:27:17,359 --> 00:27:19,720
Speaker 1: not real. It's like you're in this ic you and

439
00:27:20,440 --> 00:27:23,159
Speaker 1: we're telling you and I, oh man, but yeah, that

440
00:27:23,320 --> 00:27:26,640
Speaker 1: being the mortality can fucking just shake people to their core.

441
00:27:26,680 --> 00:27:29,120
Speaker 1: And I think if it's not you know, I think

442
00:27:29,160 --> 00:27:33,040
Speaker 1: it's I don't know, somewhat cultural to like your how

443
00:27:33,119 --> 00:27:36,680
Speaker 1: death is treated in your culture, Like if it's something

444
00:27:36,720 --> 00:27:37,879
Speaker 1: that's like, oh my god, it's the worst thing that

445
00:27:37,920 --> 00:27:40,040
Speaker 1: could ever happen. I never wanted to happen anyone I know. No, No,

446
00:27:40,480 --> 00:27:43,119
Speaker 1: like that can definitely you're setting yourself up to have

447
00:27:43,240 --> 00:27:47,280
Speaker 1: a lot to to push back against. Two other times,

448
00:27:47,320 --> 00:27:49,720
Speaker 1: if death is very normal or like the process of

449
00:27:49,760 --> 00:27:52,040
Speaker 1: it is seen as like part of the pattern of

450
00:27:52,080 --> 00:27:54,359
Speaker 1: how you live and move and how life moves, and

451
00:27:54,440 --> 00:27:57,120
Speaker 1: it may be a little bit different, but I mean

452
00:27:57,320 --> 00:27:59,679
Speaker 1: regardless of you know, what their beliefs are that got

453
00:27:59,680 --> 00:28:02,200
Speaker 1: into that point, just the idea to be so hopeless

454
00:28:02,240 --> 00:28:07,320
Speaker 1: and helpless, um and like be have your physical body

455
00:28:07,400 --> 00:28:10,200
Speaker 1: expiring and you're in total state of disbelief. But it

456
00:28:10,280 --> 00:28:13,760
Speaker 1: sounds like should I think of what I'm like too high? Yeah?

457
00:28:14,480 --> 00:28:17,679
Speaker 1: Being really but that's real, you know, yeah, yeah, a

458
00:28:17,760 --> 00:28:19,520
Speaker 1: little bit of acid. That's when you think about that

459
00:28:19,520 --> 00:28:21,280
Speaker 1: type of stuff. Yeah, you're like, what if you didn't,

460
00:28:21,320 --> 00:28:22,800
Speaker 1: like if you don't want it to happen, but you

461
00:28:22,840 --> 00:28:25,200
Speaker 1: have to die anyway, But it just doesn't seem real.

462
00:28:25,280 --> 00:28:26,719
Speaker 1: And then they're telling you just like oh no, no no,

463
00:28:26,840 --> 00:28:29,680
Speaker 1: please stop, please stop, please stop. Yeah, yeah, I mean

464
00:28:29,720 --> 00:28:31,879
Speaker 1: I think this is also a good indication that for

465
00:28:31,920 --> 00:28:34,240
Speaker 1: anybody who thinks like this ship is going away after

466
00:28:34,359 --> 00:28:37,760
Speaker 1: Trump or that like Trump Trump is um is a

467
00:28:38,440 --> 00:28:42,440
Speaker 1: like small simple like you know he just figured some

468
00:28:42,680 --> 00:28:46,000
Speaker 1: hack out. Uh. These people are like willing to die

469
00:28:46,080 --> 00:28:49,400
Speaker 1: for this ship, Like yeah, stupid And that's just like

470
00:28:49,520 --> 00:28:54,320
Speaker 1: how deep the like American propaganda machine goes like that's

471
00:28:54,360 --> 00:28:58,480
Speaker 1: not just like they didn't just start being susceptible to

472
00:28:58,560 --> 00:29:01,920
Speaker 1: things like that because Truck got elected. You know, got

473
00:29:01,920 --> 00:29:04,760
Speaker 1: elected because they were susceptible to believes like that, you know,

474
00:29:05,320 --> 00:29:08,880
Speaker 1: and it's based on such a fucking strong foundation of

475
00:29:08,960 --> 00:29:11,600
Speaker 1: misinformation where you're just like, okay, you just don't even

476
00:29:11,680 --> 00:29:16,560
Speaker 1: like have a foundation of knowledge to say, like this

477
00:29:16,600 --> 00:29:18,600
Speaker 1: is the reality that I'm seeing right in front of me,

478
00:29:18,640 --> 00:29:20,959
Speaker 1: you know what I'm saying. It's like it's all like

479
00:29:21,000 --> 00:29:24,280
Speaker 1: the reality is completely derived off of like cues they

480
00:29:24,320 --> 00:29:27,080
Speaker 1: get from the TV or their Facebook feed, Like that's

481
00:29:27,120 --> 00:29:30,760
Speaker 1: where they're like, there's no thinking happening inside. It's like, Okay,

482
00:29:30,760 --> 00:29:33,160
Speaker 1: what are they saying today? Okay, that's what's real. Because

483
00:29:33,160 --> 00:29:35,200
Speaker 1: so many times I was watching a lot of clips too,

484
00:29:35,240 --> 00:29:38,120
Speaker 1: and like live streams from the MAGA rally in d

485
00:29:38,280 --> 00:29:43,600
Speaker 1: C and hearing people even try and actually explain what's happening,

486
00:29:43,720 --> 00:29:47,680
Speaker 1: Like there wasn't a single person who could articulate what

487
00:29:47,720 --> 00:29:50,200
Speaker 1: they were pushing back against, what their risks were for

488
00:29:50,240 --> 00:29:53,360
Speaker 1: them personally, that was motivating them in the first place.

489
00:29:53,720 --> 00:29:56,680
Speaker 1: And it was all just boilerplate like Fox News talking

490
00:29:56,720 --> 00:29:59,480
Speaker 1: points of like I love the Constitution and Joe Biden

491
00:29:59,560 --> 00:30:01,280
Speaker 1: is again did and they're like, well what do you mean.

492
00:30:01,320 --> 00:30:04,280
Speaker 1: It's like, oh, well, you know, we're not gonna have freedom,

493
00:30:04,360 --> 00:30:07,160
Speaker 1: and it's like what does but like, but what about

494
00:30:07,160 --> 00:30:09,320
Speaker 1: for you personally? I mean, this is just it's just

495
00:30:09,360 --> 00:30:12,280
Speaker 1: the wrong direction. I don't know Trump's good for us.

496
00:30:12,400 --> 00:30:14,000
Speaker 1: And they're like, women are like, well what happened? Like

497
00:30:14,040 --> 00:30:16,800
Speaker 1: for women? What is is there's anything specific? I mean,

498
00:30:16,840 --> 00:30:19,320
Speaker 1: look what he did for the how many ceilings he

499
00:30:19,360 --> 00:30:22,240
Speaker 1: broke in his cabinet with women And they're like, what

500
00:30:22,240 --> 00:30:25,880
Speaker 1: do you mean? It's like, well, they're through. Yeah, I

501
00:30:25,880 --> 00:30:28,080
Speaker 1: don't know even then, like the concept of like the

502
00:30:28,160 --> 00:30:30,840
Speaker 1: glass ceiling wasn't even it was a thing that they

503
00:30:30,920 --> 00:30:34,040
Speaker 1: heard but hadn't fully like lived or experienced or understood

504
00:30:34,080 --> 00:30:35,800
Speaker 1: to be able to say like that is actually why

505
00:30:35,840 --> 00:30:38,120
Speaker 1: I'm It resonates with me. It's sort of like I

506
00:30:38,160 --> 00:30:40,520
Speaker 1: don't know, man, I'm just taking what I'm just regurgitating

507
00:30:40,560 --> 00:30:43,840
Speaker 1: what I'm hearing, and that's become my belief system. Yeah.

508
00:30:43,880 --> 00:30:45,840
Speaker 1: One of the best clips I saw in the past

509
00:30:45,840 --> 00:30:48,760
Speaker 1: couple of days is a dude like explaining is only

510
00:30:48,760 --> 00:30:52,240
Speaker 1: tangentially connected, but explaining like the causes of the Civil War,

511
00:30:52,320 --> 00:30:54,280
Speaker 1: and he was like, yeah, this slavery was only one

512
00:30:54,280 --> 00:30:56,760
Speaker 1: of the causes. You know, there were several causes, and

513
00:30:56,800 --> 00:31:00,320
Speaker 1: the guys like, okay, we'll name three. He's like, well,

514
00:31:00,040 --> 00:31:04,040
Speaker 1: I'm not a historian. Uh oh yeah, right yeah, and

515
00:31:04,080 --> 00:31:06,560
Speaker 1: then he's lay something yeah and he's like, well, it's

516
00:31:06,600 --> 00:31:09,480
Speaker 1: about tyranny and uh and he's like what is tyranny.

517
00:31:09,520 --> 00:31:12,800
Speaker 1: Tyranny is when you know, you, uh, you you take

518
00:31:12,840 --> 00:31:16,440
Speaker 1: away somebody's liberties too much? Is oh you mean like slaveries,

519
00:31:16,600 --> 00:31:25,640
Speaker 1: like just speechless, yeah, like that's but yeah, but again,

520
00:31:25,680 --> 00:31:28,480
Speaker 1: that's what and that's what's unfortunate is that these people

521
00:31:28,520 --> 00:31:32,040
Speaker 1: are able to hear these messages, they resonate for whatever reason,

522
00:31:32,080 --> 00:31:33,720
Speaker 1: and then they just move forward with that. And it's

523
00:31:33,760 --> 00:31:35,520
Speaker 1: the same way to like, even with the curve, like

524
00:31:35,560 --> 00:31:39,560
Speaker 1: the patterns and voting, Trump was thriving in the places

525
00:31:39,600 --> 00:31:43,920
Speaker 1: that were economically dying. Yeah, and again, and that makes

526
00:31:43,960 --> 00:31:46,760
Speaker 1: total sense because for like, for all the times people

527
00:31:46,760 --> 00:31:48,880
Speaker 1: will be like, I understand how Republicans can just vote

528
00:31:48,880 --> 00:31:51,280
Speaker 1: against their own interests. It's not that they're voting against

529
00:31:51,320 --> 00:31:54,600
Speaker 1: their own interests. They've just been hypnotized into believing that

530
00:31:54,640 --> 00:31:57,360
Speaker 1: they're the state they're in is due to these completely

531
00:31:57,760 --> 00:32:00,400
Speaker 1: bullshit reasons that have nothing to do with why that's

532
00:32:00,400 --> 00:32:03,280
Speaker 1: the situation there on the diet of like xenophobia and

533
00:32:03,360 --> 00:32:07,719
Speaker 1: racism rather than like understanding economics and and agreed that

534
00:32:07,800 --> 00:32:10,440
Speaker 1: exists within you know, the corporate class, and they have

535
00:32:10,560 --> 00:32:14,280
Speaker 1: this belief that voting against their interests now is not

536
00:32:14,320 --> 00:32:16,800
Speaker 1: going to be the case in a few years because

537
00:32:16,920 --> 00:32:19,800
Speaker 1: they're eventually going to be a millionaire or a billionaire,

538
00:32:19,840 --> 00:32:22,640
Speaker 1: and so they do have to worry about Joe Biden's

539
00:32:22,640 --> 00:32:24,840
Speaker 1: tax plan or whatever, when in reality they have the

540
00:32:24,880 --> 00:32:28,840
Speaker 1: fucking uh yeah, you know, there there was there was

541
00:32:28,880 --> 00:32:30,480
Speaker 1: that one meme. I don't know if you saw. It

542
00:32:30,520 --> 00:32:32,760
Speaker 1: was like it looked like a college dorm room that

543
00:32:32,840 --> 00:32:36,280
Speaker 1: was just inundated with like soda, beer cans, pizza boxes,

544
00:32:36,360 --> 00:32:39,240
Speaker 1: like video game remotes and like the guys like playing games.

545
00:32:39,240 --> 00:32:41,800
Speaker 1: He's like, yeah, I'm just worried about Biden's tax and

546
00:32:42,120 --> 00:32:43,920
Speaker 1: that's the only thing for me. And you're like, yeah,

547
00:32:43,960 --> 00:32:48,239
Speaker 1: that that just looks about right. Yeah. Kai Choice on

548
00:32:48,280 --> 00:32:50,880
Speaker 1: Twitter had one of these, uh posted one of those

549
00:32:50,880 --> 00:32:56,000
Speaker 1: like Amazon just like shitty tables, the one you just

550
00:32:56,040 --> 00:32:57,920
Speaker 1: like screw together. She was like, Yeah, if you got

551
00:32:57,920 --> 00:32:59,600
Speaker 1: this table in your living room, you don't gotta worry

552
00:32:59,640 --> 00:33:03,440
Speaker 1: about It's tax plan right right exactly. There are a

553
00:33:03,440 --> 00:33:05,120
Speaker 1: lot of memes like that. It's like if your walls

554
00:33:05,160 --> 00:33:07,760
Speaker 1: look like this, and it was like vertical wood paneling

555
00:33:07,800 --> 00:33:10,320
Speaker 1: from like the eighties and seventies, Like you ain't got

556
00:33:10,400 --> 00:33:13,719
Speaker 1: to worry about the tax plane. Man. I wish Biden

557
00:33:14,120 --> 00:33:16,920
Speaker 1: was as far to the left as those people are

558
00:33:16,920 --> 00:33:20,960
Speaker 1: worried that he is. Yeah, they think it's the start

559
00:33:21,000 --> 00:33:25,200
Speaker 1: second coming up, who knows. My favorite thing about about

560
00:33:25,200 --> 00:33:28,720
Speaker 1: this whole election process is like at every turn the

561
00:33:28,800 --> 00:33:31,720
Speaker 1: Republican talking point is basically like, hey, that dude's a

562
00:33:31,800 --> 00:33:33,920
Speaker 1: good person, and then the Democrats like, no, no, no,

563
00:33:33,960 --> 00:33:38,120
Speaker 1: i am absolutely not. I am not I'm for fracking.

564
00:33:38,160 --> 00:33:42,680
Speaker 1: I am not a socialist. I am right. No, Like, yeah,

565
00:33:42,840 --> 00:33:44,640
Speaker 1: fun the earth. I'm here to funk the earth, just

566
00:33:44,720 --> 00:33:47,040
Speaker 1: like guys, I'm all in on earth fucking. I'll blow

567
00:33:47,040 --> 00:33:51,480
Speaker 1: it up right the fun out. You want to try me, Actually,

568
00:33:51,520 --> 00:33:54,840
Speaker 1: we just changed our campaign, Biden, Harris, frack around and

569
00:33:54,880 --> 00:33:59,800
Speaker 1: find out. I'll this place an indigenous person right now,

570
00:34:00,040 --> 00:34:04,320
Speaker 1: try me right exactly for these votes in small pockets

571
00:34:04,320 --> 00:34:06,000
Speaker 1: of the country. Yeah, it's really something one of the

572
00:34:06,000 --> 00:34:09,000
Speaker 1: people Biden the Biden campaign has announced as part of

573
00:34:09,040 --> 00:34:15,640
Speaker 1: their transition team was somebody who had vocally supported separation

574
00:34:16,120 --> 00:34:20,560
Speaker 1: of uh why to defend it legally in court? Right right? Yeah?

575
00:34:21,160 --> 00:34:27,280
Speaker 1: Legally sorry, legally and vocally h Cecilia Munus Yeah yeah

576
00:34:27,760 --> 00:34:30,400
Speaker 1: uh John. Also if the dude who's running in the

577
00:34:30,480 --> 00:34:34,239
Speaker 1: runoff in Georgia for Senate did an interview where he

578
00:34:34,280 --> 00:34:35,960
Speaker 1: just rattled off a bunch of points where he's like, no,

579
00:34:36,000 --> 00:34:38,040
Speaker 1: I don't support medicare for all. No, I don't support

580
00:34:38,400 --> 00:34:40,520
Speaker 1: free college or whatever and all these things, and just like,

581
00:34:42,160 --> 00:34:46,640
Speaker 1: but you just did like we're doing that over this, Yeah,

582
00:34:46,680 --> 00:34:49,040
Speaker 1: come on. But again it's but that shows you too.

583
00:34:49,040 --> 00:34:50,920
Speaker 1: I don't know who knows what you know, what kind

584
00:34:50,960 --> 00:34:52,920
Speaker 1: of leash pulling is happening at the d n C.

585
00:34:53,200 --> 00:34:54,359
Speaker 1: To be like, you want me to if we can

586
00:34:54,360 --> 00:34:56,719
Speaker 1: cut this money off from over here, will yeah, if

587
00:34:56,760 --> 00:34:59,960
Speaker 1: you want. But also they need to, like democrats need

588
00:35:00,040 --> 00:35:02,480
Speaker 1: to put asses in the seats, So you should just

589
00:35:02,560 --> 00:35:05,080
Speaker 1: be like, Okay, what worked in Georgia. Let's listen to

590
00:35:05,160 --> 00:35:07,359
Speaker 1: the fucking people on the ground that did it with

591
00:35:07,440 --> 00:35:10,480
Speaker 1: barely little money, rather than Bloomberg's of the world that

592
00:35:10,600 --> 00:35:15,160
Speaker 1: farted away a hundred million and all for what all

593
00:35:15,160 --> 00:35:18,279
Speaker 1: that spending in Florida, and you completely miss missed the

594
00:35:18,280 --> 00:35:21,279
Speaker 1: fucking what the actual activity was on the ground. I

595
00:35:21,280 --> 00:35:24,640
Speaker 1: think Bloomberger was just trying to buy his way onto SNL, Right,

596
00:35:27,640 --> 00:35:30,040
Speaker 1: how bad. Yeah, he's just like I really just love

597
00:35:30,120 --> 00:35:33,000
Speaker 1: fred Armison's work, you know, I think, uh, I think

598
00:35:33,000 --> 00:35:37,680
Speaker 1: she's the ideal person to portray me, you know. And

599
00:35:38,040 --> 00:35:40,759
Speaker 1: I'll drop a hundred mill to get it done. I'll

600
00:35:40,760 --> 00:35:43,160
Speaker 1: do it. I'll buy the show. Don't don't test me.

601
00:35:43,320 --> 00:35:45,680
Speaker 1: I'll buy NBC if I have. But but I'll do

602
00:35:45,719 --> 00:35:52,520
Speaker 1: it incredibly indirectly in a way, the most ready way. Yeah.

603
00:35:52,520 --> 00:35:54,440
Speaker 1: And it's not clear what my intent is at all

604
00:35:54,520 --> 00:35:59,160
Speaker 1: with just going back to the out of control spread

605
00:35:59,200 --> 00:36:03,200
Speaker 1: of COVID night teen, Like, it is a situation where

606
00:36:03,320 --> 00:36:06,879
Speaker 1: so the curve is basically the same across America, Right,

607
00:36:06,920 --> 00:36:11,120
Speaker 1: It's just that it's like slightly lower, uh, Like the

608
00:36:11,120 --> 00:36:14,360
Speaker 1: Biden counties are below the Trump counties, but they have

609
00:36:14,480 --> 00:36:17,880
Speaker 1: the same they're drawing the same picture essentially, Yeah, the

610
00:36:17,960 --> 00:36:24,200
Speaker 1: same directionally, they're the same. Um and people in Germany

611
00:36:24,239 --> 00:36:27,920
Speaker 1: are beyond contact tracing, Like basically they they're saying that

612
00:36:28,040 --> 00:36:32,680
Speaker 1: over fifty percent of the new cases in these countries

613
00:36:32,719 --> 00:36:37,960
Speaker 1: including the United States, Germany, France, Uh, the UK, don't know, Spain,

614
00:36:38,200 --> 00:36:41,600
Speaker 1: don't know where these new cases are coming from. Like

615
00:36:42,000 --> 00:36:46,440
Speaker 1: whereas in Asian countries that like did contact tracing from

616
00:36:46,480 --> 00:36:50,680
Speaker 1: the beginning, Uh, they are still able to figure out, okay,

617
00:36:50,719 --> 00:36:53,000
Speaker 1: you got it from this person and like kind of

618
00:36:53,120 --> 00:36:55,720
Speaker 1: keep a like map it out a little bit, whereas

619
00:36:55,719 --> 00:36:59,040
Speaker 1: in the United States is just like we're flying blind essentially.

620
00:36:59,320 --> 00:37:03,040
Speaker 1: And I think it has to do with the individualism

621
00:37:03,080 --> 00:37:07,839
Speaker 1: to death. Were individualism ng ourselves to death? I just

622
00:37:07,880 --> 00:37:11,479
Speaker 1: can't think like that. You know what, when we tried

623
00:37:11,520 --> 00:37:14,439
Speaker 1: to do contact tracing, I think it was we did

624
00:37:14,480 --> 00:37:19,279
Speaker 1: a maximum of like four contacts, and in Korea I

625
00:37:19,280 --> 00:37:23,640
Speaker 1: think it was ten contacts. So they're you know, they're

626
00:37:23,680 --> 00:37:28,480
Speaker 1: able to understand. I think just like conceive of people

627
00:37:28,680 --> 00:37:34,200
Speaker 1: as part of a collective, you know, part of a planet.

628
00:37:34,360 --> 00:37:37,000
Speaker 1: You know that you are a nation in which you

629
00:37:37,000 --> 00:37:44,320
Speaker 1: want to look out for your people and citizens as

630
00:37:45,040 --> 00:37:50,280
Speaker 1: the rest of this country. Yeah. Yeah, speaking of a

631
00:37:51,280 --> 00:37:55,280
Speaker 1: Trump conceded, Wait, no he didn't. He had a tweet

632
00:37:56,200 --> 00:37:59,760
Speaker 1: over the weekend where he was like Biden one because

633
00:37:59,760 --> 00:38:03,760
Speaker 1: the election was rigged. No vote watchers are observers allowed,

634
00:38:05,000 --> 00:38:10,080
Speaker 1: and everyone's like, wait he won because okay, okay, wait

635
00:38:10,120 --> 00:38:15,279
Speaker 1: a second. The seconds later, yeah, he tweets he only

636
00:38:15,320 --> 00:38:16,840
Speaker 1: went in the eyes of the fake news media, I

637
00:38:16,840 --> 00:38:19,239
Speaker 1: can see nothing. We have a long way to go.

638
00:38:19,400 --> 00:38:21,640
Speaker 1: This is a rigged election. It's like someone's been like, yo,

639
00:38:21,680 --> 00:38:24,200
Speaker 1: did you It feels like someone texted him like not

640
00:38:24,320 --> 00:38:25,920
Speaker 1: that this happened, but the kind of ship is like

641
00:38:25,920 --> 00:38:28,359
Speaker 1: he tweeted that, and someone goes, yo, you can see.

642
00:38:28,400 --> 00:38:32,359
Speaker 1: Bro's like like, Yo, your tweet looked like you conceded. Bro,

643
00:38:32,440 --> 00:38:35,800
Speaker 1: I'm not gonna lie. This just looks like some I

644
00:38:35,840 --> 00:38:39,640
Speaker 1: can I can see nothing. Yeah, I've conceded nothing. Yeah,

645
00:38:39,760 --> 00:38:43,920
Speaker 1: He's like, they do I believe in nothing. I'm a nihilist.

646
00:38:43,920 --> 00:38:48,640
Speaker 1: I believe in nothing. Yeah. Really I can see nothing. Okay,

647
00:38:48,800 --> 00:38:51,319
Speaker 1: I get it. I get it. Uh so, yeah, that

648
00:38:51,400 --> 00:38:53,799
Speaker 1: was an interesting back and forth. Mean, when then he's

649
00:38:53,800 --> 00:38:57,560
Speaker 1: just tweeting, firing off all kinds of just chock full

650
00:38:57,600 --> 00:39:01,359
Speaker 1: of bullshit tweets about the election, the results as you

651
00:39:01,440 --> 00:39:04,680
Speaker 1: would believe he would and all that, or during the

652
00:39:05,120 --> 00:39:10,680
Speaker 1: million mega March, which uh they can't they were you know, unfortunately.

653
00:39:11,080 --> 00:39:12,879
Speaker 1: Well I'm just saying in d C they were only

654
00:39:12,880 --> 00:39:16,160
Speaker 1: able to conjure about ten people up, uh to to

655
00:39:16,280 --> 00:39:19,560
Speaker 1: show up for this thing, and you know it's I

656
00:39:19,600 --> 00:39:23,000
Speaker 1: mean it was. However, there were violent clashes between these

657
00:39:23,040 --> 00:39:27,560
Speaker 1: people and you know, counter protesters, but they had so

658
00:39:27,640 --> 00:39:30,160
Speaker 1: much police protection. Some of these clips I was watching,

659
00:39:30,400 --> 00:39:33,880
Speaker 1: I thought I was looking at a like city sanctioned

660
00:39:34,000 --> 00:39:37,720
Speaker 1: parade through this city, like rather than some kind of protest.

661
00:39:37,800 --> 00:39:40,160
Speaker 1: It felt like there were police like on the perimeter

662
00:39:40,239 --> 00:39:42,720
Speaker 1: and be like, yep, just don't you know, keep waving

663
00:39:42,719 --> 00:39:47,320
Speaker 1: your Confederate flags in the streets, no problem. Yeah, yeah, yeah,

664
00:39:47,520 --> 00:39:50,000
Speaker 1: I wish I remembered who said this, but somebody was like,

665
00:39:50,080 --> 00:39:52,719
Speaker 1: what uh When people ask where the police when the

666
00:39:52,800 --> 00:39:54,719
Speaker 1: KKK shows up, he's like, where the fund is Peter

667
00:39:54,800 --> 00:39:59,839
Speaker 1: Parker when Spider Man shows up? Exactly the same dude, exact. Mean,

668
00:40:00,320 --> 00:40:04,440
Speaker 1: that's pretty good. There's this hologram police officer. Yeah. This

669
00:40:04,520 --> 00:40:07,960
Speaker 1: other thing is like they the other screams that are

670
00:40:08,000 --> 00:40:10,200
Speaker 1: going on is all like fuck Fox News, were done

671
00:40:10,200 --> 00:40:13,080
Speaker 1: with Fox. The big thing where there are people being

672
00:40:13,120 --> 00:40:17,799
Speaker 1: like Joe Biden, we reject Joe Biden. He's not our president.

673
00:40:18,120 --> 00:40:20,759
Speaker 1: We will do whatever we have to, and people are like,

674
00:40:20,840 --> 00:40:23,239
Speaker 1: it's funny like even when this dude is screaming until

675
00:40:23,239 --> 00:40:25,400
Speaker 1: it's like juggulars blowing on his neck, like even the

676
00:40:25,400 --> 00:40:28,880
Speaker 1: people around him are like yeah, like and he's like,

677
00:40:29,000 --> 00:40:31,719
Speaker 1: we gotta take our undream back. This is on Fox.

678
00:40:32,719 --> 00:40:34,600
Speaker 1: This is just like random you know, on Twitter looking

679
00:40:34,600 --> 00:40:37,840
Speaker 1: at people do live feeds, other journalists just capturing clips

680
00:40:37,840 --> 00:40:40,440
Speaker 1: of like the you know, pockets of activity throughout the

681
00:40:40,480 --> 00:40:43,400
Speaker 1: million magal March. But it's just interesting because like, it

682
00:40:43,440 --> 00:40:46,319
Speaker 1: really is this energy of I granted there were many

683
00:40:46,320 --> 00:40:48,960
Speaker 1: Democrats whore like not my president or whatever, but not

684
00:40:49,040 --> 00:40:52,280
Speaker 1: in the sense that it was like I'm I'm rebelling

685
00:40:52,320 --> 00:40:56,000
Speaker 1: against the country, like because it's not like those are

686
00:40:56,120 --> 00:40:59,000
Speaker 1: the exact stakes for people. But these people are like

687
00:40:59,320 --> 00:41:02,520
Speaker 1: acting like, oh, Bining is not my new dad and

688
00:41:02,600 --> 00:41:05,000
Speaker 1: they never will be, so I don't ask me to

689
00:41:05,080 --> 00:41:08,040
Speaker 1: call him dad. And it's just like, yo, what what

690
00:41:08,080 --> 00:41:10,000
Speaker 1: do we do with that energy? You know what I mean?

691
00:41:10,040 --> 00:41:12,000
Speaker 1: Like I feel like because in one way, if it

692
00:41:12,040 --> 00:41:14,759
Speaker 1: were the step child or parents situation, like Okay, I'm

693
00:41:14,800 --> 00:41:16,839
Speaker 1: not your dad, Okay, so then you're gonna you're gonna

694
00:41:16,840 --> 00:41:19,200
Speaker 1: start paying these bills, you gonna go to work, you're

695
00:41:19,200 --> 00:41:21,000
Speaker 1: gonna start cooking and cleaning. Like, I don't know if

696
00:41:21,000 --> 00:41:23,880
Speaker 1: there's a way to step dad. Uh, these maga people,

697
00:41:23,920 --> 00:41:28,040
Speaker 1: but that energy is definitely there of just like with

698
00:41:28,160 --> 00:41:31,360
Speaker 1: their body being like, he's not that the president. I

699
00:41:31,360 --> 00:41:34,160
Speaker 1: don't care what anyone says. It's like, oh, I'm not

700
00:41:34,200 --> 00:41:36,120
Speaker 1: the I'm not the president. Okay, how about you gotta

701
00:41:36,200 --> 00:41:40,000
Speaker 1: you gotta order these drone tricks. You gotta, you gotta

702
00:41:40,200 --> 00:41:44,239
Speaker 1: we're gonna do these war crimes. Yeah, who's gonna who's

703
00:41:44,239 --> 00:41:48,919
Speaker 1: gonna install Who's who's war crimes? Who's gonna install neoliberal

704
00:41:49,440 --> 00:41:54,200
Speaker 1: despot in the global South? Huh? You you because it's

705
00:41:54,800 --> 00:41:59,560
Speaker 1: if I'm not the president. Okay, all right, probably you

706
00:41:59,600 --> 00:42:01,520
Speaker 1: don't even You couldn't even point a Yemen on a map.

707
00:42:01,880 --> 00:42:05,600
Speaker 1: That's what I That's what I thought. Yeah, point to

708
00:42:05,600 --> 00:42:08,920
Speaker 1: the oil rich nations on the on the map. Huh exactly.

709
00:42:08,920 --> 00:42:11,080
Speaker 1: You don't even know where the emerging nations are losing

710
00:42:11,480 --> 00:42:13,000
Speaker 1: out of here. Go to your room, clean it up.

711
00:42:13,200 --> 00:42:15,759
Speaker 1: All right, let's take a quick break and we'll be

712
00:42:15,920 --> 00:42:19,520
Speaker 1: right back. All right, great, bit a plus and we're

713
00:42:19,560 --> 00:42:33,560
Speaker 1: going to break and we're back. And before we move

714
00:42:33,600 --> 00:42:37,640
Speaker 1: on from the Trump administration's response to to the election.

715
00:42:38,480 --> 00:42:42,200
Speaker 1: We want to check in with with their legal cases

716
00:42:42,360 --> 00:42:46,120
Speaker 1: because you know, this is the fate of the country

717
00:42:46,120 --> 00:42:49,719
Speaker 1: hangs in the balance. Are they are they going to

718
00:42:49,800 --> 00:42:53,680
Speaker 1: be able to stop that steel? It's um so, I

719
00:42:53,680 --> 00:42:57,440
Speaker 1: mean they do. They took some fucking ass kickings in

720
00:42:57,480 --> 00:43:00,239
Speaker 1: the court over the last few days, Like we're to

721
00:43:00,320 --> 00:43:02,400
Speaker 1: the point where the judge like, probably you're wasting my

722
00:43:02,680 --> 00:43:06,879
Speaker 1: time with this ship. Uh. And you know, on Sunday,

723
00:43:06,920 --> 00:43:10,760
Speaker 1: on the Sunday shows, every like uh, like I believe

724
00:43:10,800 --> 00:43:13,680
Speaker 1: every Republican senator declined to go and meet the press,

725
00:43:13,760 --> 00:43:16,360
Speaker 1: like they no one wanted to talk to anyone about anything.

726
00:43:16,760 --> 00:43:19,000
Speaker 1: So then Fox News kind of became this like weird

727
00:43:19,080 --> 00:43:22,479
Speaker 1: graveyard and that what they did was at a certain point,

728
00:43:22,640 --> 00:43:25,920
Speaker 1: Um Sydney Powell, who was on the legal team for

729
00:43:25,960 --> 00:43:31,000
Speaker 1: Trump's you know, steel stopping squad, uh, came on to

730
00:43:31,040 --> 00:43:34,359
Speaker 1: talk to Maria Barter Romo and just so you know,

731
00:43:34,440 --> 00:43:36,799
Speaker 1: prior to this, over the weekend, Trump was like, I

732
00:43:36,880 --> 00:43:41,200
Speaker 1: now proclaim Rudy Giuliani spearhead of all of my legal efforts,

733
00:43:41,280 --> 00:43:43,840
Speaker 1: and we're like, thank god he followed his worst instincts

734
00:43:43,840 --> 00:43:47,120
Speaker 1: on this and hired this horny old goblin who don't

735
00:43:47,160 --> 00:43:50,520
Speaker 1: know how to wear air pods. So this moment, we

736
00:43:50,560 --> 00:43:53,640
Speaker 1: have Sydney Powell coming on Maria Bardaromo. She's trying, you know,

737
00:43:53,719 --> 00:43:57,000
Speaker 1: like she's definitely all in to try and help the president,

738
00:43:57,320 --> 00:44:00,759
Speaker 1: but even throwing underhanders to his legal team, like they

739
00:44:00,840 --> 00:44:04,440
Speaker 1: can't fucking articulate a single thing, like not even anything

740
00:44:04,480 --> 00:44:07,920
Speaker 1: that resembles a legal argument. So this is Sydney Powell

741
00:44:07,960 --> 00:44:11,240
Speaker 1: with some real low energy scamming about how the president

742
00:44:11,239 --> 00:44:13,320
Speaker 1: actually has millions of votes that need to be counted

743
00:44:13,560 --> 00:44:16,600
Speaker 1: because we're fixing to overturn the results of the election

744
00:44:16,760 --> 00:44:21,839
Speaker 1: and multiple states and President Trump won by not just

745
00:44:22,040 --> 00:44:25,960
Speaker 1: hundreds of thousands of but by millions of votes that

746
00:44:26,000 --> 00:44:29,839
Speaker 1: were shifted by this software that was designed expressly for

747
00:44:29,920 --> 00:44:35,960
Speaker 1: that purpose. So they're talking about the dominion voting machines, which, yeah,

748
00:44:36,000 --> 00:44:38,640
Speaker 1: because it wasn't the other things, it wasn't the poll watchers.

749
00:44:38,640 --> 00:44:41,279
Speaker 1: They're like hot potato, like jumping from rock to rug. No,

750
00:44:41,320 --> 00:44:43,040
Speaker 1: that's not actually about this now, No, okay, that one

751
00:44:43,040 --> 00:44:46,200
Speaker 1: didn't work. Now it's about this. So barter Romo actually

752
00:44:46,200 --> 00:44:49,080
Speaker 1: follows up because you know, like anything, she's like, okay, great,

753
00:44:49,200 --> 00:44:52,319
Speaker 1: like great, millions of votes. How do we do this?

754
00:44:52,520 --> 00:44:54,960
Speaker 1: Like put us on, put me on, get get thee give,

755
00:44:55,080 --> 00:44:57,680
Speaker 1: give us a taste, drop the mixtape. We have so

756
00:44:57,760 --> 00:45:02,480
Speaker 1: much evidence. I feel like it's coming in through a fire. Huse. Wow.

757
00:45:02,560 --> 00:45:05,359
Speaker 1: So Sydney, you feel that you will be able to

758
00:45:05,400 --> 00:45:08,280
Speaker 1: prove this? Do you have the software in your possession?

759
00:45:08,280 --> 00:45:10,399
Speaker 1: Do you have the hardware in your possession? How will

760
00:45:10,440 --> 00:45:14,960
Speaker 1: you prove this, Sydney? Well, I've got lots of ways

761
00:45:15,000 --> 00:45:17,239
Speaker 1: to prove it, Maria, but I'm not gonna tell on

762
00:45:17,480 --> 00:45:24,120
Speaker 1: national TV what all we have. I just can't do that. Okay,

763
00:45:24,120 --> 00:45:32,560
Speaker 1: but you have very Okay. It feels like when you

764
00:45:32,600 --> 00:45:34,960
Speaker 1: ask a kid like who who broke the vase and

765
00:45:35,000 --> 00:45:40,080
Speaker 1: they're like, no, no, uh it was it was, you know,

766
00:45:40,080 --> 00:45:45,040
Speaker 1: because you told me not to. Oh you got Oh

767
00:45:45,080 --> 00:45:47,480
Speaker 1: you got a girlfriend who goes to San Diego State University.

768
00:45:47,480 --> 00:45:49,239
Speaker 1: You in eighth grade? How you got a girlfriend goes

769
00:45:49,280 --> 00:45:53,000
Speaker 1: to college? Prove it? Prove it to you? Yeah? I

770
00:45:53,000 --> 00:45:58,120
Speaker 1: got don't Yeah yeah, no, Just that's my cousin. You

771
00:45:58,120 --> 00:46:00,400
Speaker 1: think I'm I'm not gonna flex in front of everybody

772
00:46:00,520 --> 00:46:05,520
Speaker 1: like that, you know, like that's that's in poor taste.

773
00:46:05,560 --> 00:46:08,560
Speaker 1: I'm not gonna dunk on the Nation on Foxnooze right now.

774
00:46:08,680 --> 00:46:11,560
Speaker 1: But yeah, it really is even everything like it's like

775
00:46:11,600 --> 00:46:15,120
Speaker 1: we've got it in a fire hose and millions of

776
00:46:15,239 --> 00:46:19,200
Speaker 1: like even they're just so much evidence coming in. It's

777
00:46:19,239 --> 00:46:22,200
Speaker 1: not gonna happen the legal route. Any fuckery is going

778
00:46:22,280 --> 00:46:23,840
Speaker 1: to have to happen some other ways. What have I

779
00:46:23,880 --> 00:46:27,000
Speaker 1: just watched walked on stage at a show. It was

780
00:46:27,040 --> 00:46:29,440
Speaker 1: just like, yeah, bro, I got so many fucking jokes

781
00:46:29,480 --> 00:46:34,200
Speaker 1: you don't even know I got. Look, I'm not going

782
00:46:34,239 --> 00:46:36,120
Speaker 1: to do them all right now because I don't want

783
00:46:36,120 --> 00:46:38,680
Speaker 1: to like blow the whole thing. But like I got oh,

784
00:46:38,719 --> 00:46:42,239
Speaker 1: I got jokes per days understand, Like I gotta save

785
00:46:42,280 --> 00:46:49,279
Speaker 1: it for the special. The joke is this, yo, I

786
00:46:49,320 --> 00:46:51,879
Speaker 1: gotta you know, it's gonna go on Netflix. You can

787
00:46:51,880 --> 00:46:54,200
Speaker 1: watch it on Netflix later. But like, right, I can't

788
00:46:54,200 --> 00:46:55,920
Speaker 1: do it all right now. I can't do it all

789
00:46:56,040 --> 00:46:58,759
Speaker 1: right now. I've been like, you know, you know what

790
00:46:58,800 --> 00:47:00,759
Speaker 1: I'm saying. I've just been writing so much. I got

791
00:47:00,760 --> 00:47:02,600
Speaker 1: so many thoughts in my head. It's like it's coming

792
00:47:02,600 --> 00:47:06,600
Speaker 1: out of a fire hose. I can I can tell

793
00:47:06,640 --> 00:47:08,960
Speaker 1: you what a couple of the jokes are about. But

794
00:47:09,000 --> 00:47:13,239
Speaker 1: I can't tell me that actual jokes right here on right,

795
00:47:13,520 --> 00:47:17,160
Speaker 1: it's actually more like a comedian. Yeah, it's actually more

796
00:47:17,239 --> 00:47:23,080
Speaker 1: like you're you're on Netflix doing your specials on national TV,

797
00:47:23,239 --> 00:47:26,000
Speaker 1: and you're like, I can't do these jokes on National

798
00:47:26,120 --> 00:47:32,600
Speaker 1: TV on what if HBO? What if HBO calls huh?

799
00:47:32,640 --> 00:47:37,520
Speaker 1: What if? I won't do it on HBO either ship,

800
00:47:38,000 --> 00:47:42,960
Speaker 1: But believe these jokes are top rate A one. Yeah.

801
00:47:43,120 --> 00:47:46,080
Speaker 1: So and the stop the steel? Did they stop the steel?

802
00:47:46,120 --> 00:47:49,600
Speaker 1: Do we know the people who showed up? They did not.

803
00:47:49,800 --> 00:47:52,560
Speaker 1: Trump did drive by them at one point on his

804
00:47:52,600 --> 00:47:55,560
Speaker 1: way to go golfing, and it was interesting to hear

805
00:47:55,760 --> 00:47:59,560
Speaker 1: the people's response to that, where they were just like

806
00:48:00,080 --> 00:48:04,560
Speaker 1: he drove by. There's like an eyewitnesses um like journalist

807
00:48:04,560 --> 00:48:08,200
Speaker 1: account of like somebody was just like hunched down, like

808
00:48:08,320 --> 00:48:10,960
Speaker 1: rocking back and forth, being like he was right there.

809
00:48:13,400 --> 00:48:18,919
Speaker 1: If he passes away before the mental gymnastics, these people

810
00:48:18,960 --> 00:48:22,239
Speaker 1: are going to do, I can't even imagine what Like

811
00:48:22,320 --> 00:48:25,960
Speaker 1: there's no way on earth where there's not some conspiracy

812
00:48:26,040 --> 00:48:29,879
Speaker 1: tied to what however he physically expires, whether through old

813
00:48:29,920 --> 00:48:32,200
Speaker 1: days or Anything's like, no, man, you see the doctor

814
00:48:32,239 --> 00:48:34,319
Speaker 1: that was working on him, went to this school and

815
00:48:34,360 --> 00:48:37,600
Speaker 1: his professor was this guy who actually knows Van Jones

816
00:48:37,880 --> 00:48:40,920
Speaker 1: and blah blah blah. It's like, yeah, reality, he just

817
00:48:41,000 --> 00:48:46,600
Speaker 1: leaned too far forward. Yeah right, just those lips were

818
00:48:46,600 --> 00:48:48,680
Speaker 1: a little too much on the back. Yeah, he died.

819
00:48:48,719 --> 00:48:51,560
Speaker 1: He died looking like Michael Jackson in the Smooth Criminal video.

820
00:48:53,360 --> 00:48:56,880
Speaker 1: Got got his heels hooked because heels hooked in a

821
00:48:56,960 --> 00:49:00,560
Speaker 1: fucking floorboard and just fell over. Right, he does not

822
00:49:00,680 --> 00:49:03,319
Speaker 1: look stable in his feet. All right, let's talk about

823
00:49:03,440 --> 00:49:07,000
Speaker 1: what this lockdown is doing to our brains. Uh, Miles,

824
00:49:07,080 --> 00:49:11,600
Speaker 1: you brought a article from the BBC about a kind

825
00:49:11,640 --> 00:49:13,799
Speaker 1: of a study or I don't know where were they

826
00:49:13,880 --> 00:49:17,680
Speaker 1: using science or speculation? Well, they are using science, and

827
00:49:17,680 --> 00:49:20,200
Speaker 1: then just what neuro neuroscientists just know to be true

828
00:49:20,200 --> 00:49:23,200
Speaker 1: about how our brains work and like and and a

829
00:49:23,280 --> 00:49:27,640
Speaker 1: lot of people like experts themselves experiencing it too. I've

830
00:49:27,680 --> 00:49:32,799
Speaker 1: not Yeah. Yeah, like my grandfather, he's ninety three, and

831
00:49:32,880 --> 00:49:35,840
Speaker 1: he he used to go to his church social group

832
00:49:36,000 --> 00:49:38,640
Speaker 1: and do ship like that. But it's all old people

833
00:49:38,640 --> 00:49:40,560
Speaker 1: that he hangs out with, so that that's gone down.

834
00:49:40,719 --> 00:49:44,200
Speaker 1: He's like less talkative. I mean, it's very pronounced they say,

835
00:49:44,280 --> 00:49:48,080
Speaker 1: and like especially like convalescent homes and uh like you know,

836
00:49:48,320 --> 00:49:51,240
Speaker 1: old folks homes for lack of a better term. And

837
00:49:51,640 --> 00:49:53,920
Speaker 1: so they're saying, you know, the lack of socializing and

838
00:49:54,000 --> 00:49:57,640
Speaker 1: isolation is definitely a contributing factor to how like our

839
00:49:57,640 --> 00:50:01,719
Speaker 1: memories are even being informed and store ward. So you know,

840
00:50:02,040 --> 00:50:04,440
Speaker 1: the isolation part I think most people can figure out,

841
00:50:04,520 --> 00:50:07,600
Speaker 1: because yeah, like we're just we've completely changed the rhythm

842
00:50:07,600 --> 00:50:10,279
Speaker 1: of our days. But you know a lot of things

843
00:50:10,320 --> 00:50:14,120
Speaker 1: is like it's these smaller conversations where if we don't

844
00:50:14,160 --> 00:50:17,480
Speaker 1: feel you know, like any kind of talk you have

845
00:50:17,560 --> 00:50:20,800
Speaker 1: by the refrigerator, a water cooler, by the elevator, walking

846
00:50:20,840 --> 00:50:24,320
Speaker 1: in somewhere, walking out somewhere, like we're always just like talking,

847
00:50:24,480 --> 00:50:26,480
Speaker 1: like we always just have something to tell, like talk

848
00:50:26,520 --> 00:50:28,520
Speaker 1: about we can talk about what we did last night,

849
00:50:28,560 --> 00:50:31,439
Speaker 1: what we're doing this weekend, what even some dumb ship

850
00:50:31,560 --> 00:50:33,879
Speaker 1: you talked about your friend with on the phone. And

851
00:50:34,320 --> 00:50:37,840
Speaker 1: that repetition of stories, apparently they're saying that helps to

852
00:50:37,880 --> 00:50:41,719
Speaker 1: actually keep our memories sort of consolidated and organized within

853
00:50:41,760 --> 00:50:44,719
Speaker 1: our minds. So like they call them episodic memories. So

854
00:50:44,760 --> 00:50:47,120
Speaker 1: if we don't if we're missing on that socializing aspect,

855
00:50:47,480 --> 00:50:50,080
Speaker 1: it's those things don't crystallize in the same way they

856
00:50:50,120 --> 00:50:52,279
Speaker 1: do and like, oh, I'm I'm telling my weekend story

857
00:50:52,320 --> 00:50:54,520
Speaker 1: three times today, you know, like you it's like you

858
00:50:54,560 --> 00:50:58,920
Speaker 1: know that that momentum helps build our memories. And then

859
00:50:58,960 --> 00:51:01,160
Speaker 1: when we do get the chance to chat, they're saying like,

860
00:51:01,400 --> 00:51:04,799
Speaker 1: because we are isolated and we aren't having we're not

861
00:51:04,840 --> 00:51:06,840
Speaker 1: doing as much as we normally do, we also have

862
00:51:06,920 --> 00:51:10,160
Speaker 1: fewer stories to tell when we see each other, Like

863
00:51:10,239 --> 00:51:12,319
Speaker 1: it's just kind of like we're almost like, yeah, how's

864
00:51:12,360 --> 00:51:14,239
Speaker 1: it been, Like I don't like everyone's kind of in

865
00:51:14,239 --> 00:51:16,520
Speaker 1: the same thing where we we look at the same

866
00:51:16,640 --> 00:51:18,720
Speaker 1: we sit in the same place, like at the same screen,

867
00:51:18,800 --> 00:51:21,520
Speaker 1: do the same thing, and they're because of like this

868
00:51:21,560 --> 00:51:26,360
Speaker 1: sort of cycle of very little change, it slowly works

869
00:51:26,400 --> 00:51:29,160
Speaker 1: its way into, you know, affecting our ability to form

870
00:51:29,160 --> 00:51:31,640
Speaker 1: and recall memories, because even like it's something as simple

871
00:51:31,680 --> 00:51:33,719
Speaker 1: as people feel like holy sh it, Like normally I

872
00:51:33,760 --> 00:51:37,120
Speaker 1: can remember my fucking teachers from kindergarten on I can

873
00:51:37,160 --> 00:51:39,399
Speaker 1: tell you every single fucking teacher I had. And it's

874
00:51:39,440 --> 00:51:41,320
Speaker 1: like the other day it took me fifteen minutes to

875
00:51:41,360 --> 00:51:44,000
Speaker 1: remember who this teacher was or whatever, And that's all

876
00:51:44,080 --> 00:51:47,640
Speaker 1: part of just kind of like we're not fully using

877
00:51:47,680 --> 00:51:49,719
Speaker 1: all of those faculties as much as we can be

878
00:51:49,760 --> 00:51:53,440
Speaker 1: as a result of this lockdown. Yeah, I was, I

879
00:51:53,480 --> 00:51:56,719
Speaker 1: was saying. I think early on, like I had the

880
00:51:56,800 --> 00:52:00,320
Speaker 1: same feeling as when I would always park in the

881
00:52:00,400 --> 00:52:04,160
Speaker 1: same parking garage. And like after it was like six

882
00:52:04,200 --> 00:52:06,799
Speaker 1: months of parking in the same parking garage because like

883
00:52:06,920 --> 00:52:11,000
Speaker 1: all those memories just like kind of collapsed on each other.

884
00:52:11,360 --> 00:52:13,719
Speaker 1: I could never remember where the funk my car was

885
00:52:13,760 --> 00:52:17,160
Speaker 1: because it was just all like one endless expanse of

886
00:52:17,239 --> 00:52:20,920
Speaker 1: memories of that parking garage. I feel like, same deal

887
00:52:21,000 --> 00:52:25,839
Speaker 1: with now. Just like being at home constantly working recording

888
00:52:26,000 --> 00:52:29,759
Speaker 1: from home, you just don't have the those events that

889
00:52:29,880 --> 00:52:31,880
Speaker 1: get your heart rate up a little bit, where you like,

890
00:52:32,400 --> 00:52:35,480
Speaker 1: you know, go somewhere, drive to work, getting mad at

891
00:52:35,680 --> 00:52:38,879
Speaker 1: the person who cut you off, go to work, tell

892
00:52:38,920 --> 00:52:41,160
Speaker 1: people about the person who cut you off. You know,

893
00:52:41,280 --> 00:52:44,319
Speaker 1: just dumb ship that we take for granted. That is

894
00:52:44,520 --> 00:52:47,239
Speaker 1: like what you know, our our brain is meant to

895
00:52:47,320 --> 00:52:51,879
Speaker 1: have that social interaction. Um, I'm loving the hell out

896
00:52:51,880 --> 00:52:54,560
Speaker 1: of not having to, you know, because I have social anxiety.

897
00:52:54,640 --> 00:52:58,359
Speaker 1: Not having to be anxious around people all the time,

898
00:52:58,360 --> 00:53:01,200
Speaker 1: but I don't think overall it's good for my health

899
00:53:01,400 --> 00:53:04,480
Speaker 1: and for my mental health. Yeah, that anxiety is a

900
00:53:04,480 --> 00:53:06,799
Speaker 1: good long term Yeah, I feel like I feel like

901
00:53:06,800 --> 00:53:09,080
Speaker 1: this past week has been like the first maybe like

902
00:53:09,120 --> 00:53:13,000
Speaker 1: one of two times I've left New York and definitely

903
00:53:13,080 --> 00:53:16,280
Speaker 1: the only time I've left my home for an extended period.

904
00:53:16,560 --> 00:53:19,560
Speaker 1: I feel like it's the most granted it was last week,

905
00:53:19,760 --> 00:53:23,240
Speaker 1: but I feel like it's just the most vivid string

906
00:53:23,280 --> 00:53:27,800
Speaker 1: of memories that I've had six months. But yeah, because

907
00:53:27,800 --> 00:53:30,080
Speaker 1: that's what it is when we're just isolated and we've

908
00:53:30,320 --> 00:53:32,640
Speaker 1: especially for people who work from home, you just we

909
00:53:32,680 --> 00:53:36,520
Speaker 1: don't have these cues that we normally have, like even commuting, right,

910
00:53:36,640 --> 00:53:39,920
Speaker 1: Like you use your hippocampus to like navigate the earth

911
00:53:40,040 --> 00:53:43,239
Speaker 1: to get home to your destination. And when you don't

912
00:53:43,280 --> 00:53:47,040
Speaker 1: do that that we're starting to like we're using that less.

913
00:53:47,120 --> 00:53:49,799
Speaker 1: And then also like everyone's on the same we sit

914
00:53:49,840 --> 00:53:51,960
Speaker 1: in the same chair, looking at the same zoom meeting,

915
00:53:52,000 --> 00:53:54,760
Speaker 1: he's talking to the same people. Like that also blends

916
00:53:54,800 --> 00:53:56,799
Speaker 1: around and like this neuroscientists saying, it's like it's like

917
00:53:56,840 --> 00:53:59,000
Speaker 1: playing It's like you need black keys on a piano

918
00:53:59,120 --> 00:54:00,520
Speaker 1: or else. You don't know where the funk you're at

919
00:54:00,600 --> 00:54:03,759
Speaker 1: if it's all white keys. And that's what happens with

920
00:54:03,800 --> 00:54:08,520
Speaker 1: our our memories because we're not punctuating things properly, like yeah,

921
00:54:08,520 --> 00:54:11,840
Speaker 1: they're there, but our way to differentiate is completely lost

922
00:54:11,880 --> 00:54:15,040
Speaker 1: because we don't navigate like the roads like we used to.

923
00:54:15,360 --> 00:54:17,160
Speaker 1: If we do things, it might be the same thing.

924
00:54:17,239 --> 00:54:19,560
Speaker 1: So a way to get around that is something like

925
00:54:19,600 --> 00:54:22,080
Speaker 1: as simple as like if you walk your dogs or

926
00:54:22,080 --> 00:54:25,239
Speaker 1: you go on walks, go a completely fucking different route

927
00:54:25,239 --> 00:54:27,520
Speaker 1: because most of the time we'll walk the same fucking

928
00:54:27,600 --> 00:54:29,560
Speaker 1: route just to be like, oh it's time to do

929
00:54:29,680 --> 00:54:32,279
Speaker 1: my walk or I'm gonna go here. Do just do

930
00:54:32,320 --> 00:54:34,680
Speaker 1: ship like that because the more you're putting yourself in different,

931
00:54:34,800 --> 00:54:37,120
Speaker 1: different space, you're now looking at new ship. You might

932
00:54:37,160 --> 00:54:40,400
Speaker 1: hear different ship. It's just like these subtle changes to

933
00:54:40,600 --> 00:54:43,000
Speaker 1: that can help go a long way. And even if

934
00:54:43,040 --> 00:54:45,560
Speaker 1: you're stuck at home and you really can't go outside,

935
00:54:45,840 --> 00:54:48,400
Speaker 1: like they say, even just try something completely different, like

936
00:54:48,400 --> 00:54:51,359
Speaker 1: if you've never fucked with puzzles, like just fucking like

937
00:54:51,560 --> 00:54:55,000
Speaker 1: give yourself something to try too. Because the more we

938
00:54:55,040 --> 00:54:57,720
Speaker 1: can break up the monotony of it. That's just gonna

939
00:54:57,760 --> 00:55:00,640
Speaker 1: help sort of give our you know, lockdown lifestyle is

940
00:55:00,680 --> 00:55:03,200
Speaker 1: a little more texture that we can you know, still

941
00:55:03,239 --> 00:55:05,320
Speaker 1: remember things because if you said something to me about

942
00:55:05,760 --> 00:55:08,000
Speaker 1: May the month of May, I couldn't tell you a

943
00:55:08,120 --> 00:55:12,239
Speaker 1: fucking thing because we used to be like, oh yeah,

944
00:55:12,239 --> 00:55:13,800
Speaker 1: because I was two months before the trip that I

945
00:55:13,920 --> 00:55:16,239
Speaker 1: normally go on, which is in June. That that that that.

946
00:55:16,520 --> 00:55:18,800
Speaker 1: But because we don't have any of that, it's really

947
00:55:18,840 --> 00:55:23,040
Speaker 1: important that we're giving ourselves like enough things to stimulate

948
00:55:23,080 --> 00:55:25,560
Speaker 1: our minds even though we're comfortable that, but we still

949
00:55:25,600 --> 00:55:28,799
Speaker 1: need that flexibility with our brains. Yeah. I started, uh,

950
00:55:28,840 --> 00:55:31,319
Speaker 1: I started skateboarding at twenty nine. And the last thing

951
00:55:31,320 --> 00:55:37,839
Speaker 1: I remember before that is getting diarrhea in Ghana. It's

952
00:55:38,200 --> 00:55:44,160
Speaker 1: palm oil. Yeah. No, I I I ate beach meat, meat,

953
00:55:44,360 --> 00:55:47,200
Speaker 1: meat on the beach. I'd ate beach meat in Ghana too.

954
00:55:47,320 --> 00:55:51,080
Speaker 1: I had goat on a skewer. Oh yeah, yeah, yeah, yeah, yeah,

955
00:55:52,040 --> 00:55:54,480
Speaker 1: that's what I had. That's what I had. Yeah, And

956
00:55:54,719 --> 00:55:56,120
Speaker 1: I know people are like, you want to do that,

957
00:55:56,320 --> 00:55:58,600
Speaker 1: I don't know they're eating it. I'm good. Yeah, you

958
00:55:58,640 --> 00:56:01,400
Speaker 1: get sick. No. The thing that I got when I

959
00:56:01,440 --> 00:56:03,399
Speaker 1: was in Ghana was just the amount of palm oil.

960
00:56:03,480 --> 00:56:05,960
Speaker 1: Like I wasn't used to palm oil being in a

961
00:56:05,960 --> 00:56:08,200
Speaker 1: lot of food, so that was I think that was

962
00:56:08,239 --> 00:56:09,520
Speaker 1: the one thing I had to get used to, is

963
00:56:09,520 --> 00:56:11,839
Speaker 1: the amount of palm oil that's used in cooking. And yeah,

964
00:56:11,960 --> 00:56:13,759
Speaker 1: that's been my whole life. I think. I just like

965
00:56:13,960 --> 00:56:18,160
Speaker 1: I hadn't been to Africa, but since I was sixteen,

966
00:56:18,160 --> 00:56:20,920
Speaker 1: I went to Nigeria, and I think my body just

967
00:56:20,960 --> 00:56:23,959
Speaker 1: lost all the enzymes or whatever, or maybe we were cooked.

968
00:56:23,960 --> 00:56:27,160
Speaker 1: I don't know. Yeah, either way, it's always funny telling

969
00:56:27,200 --> 00:56:29,120
Speaker 1: people I got a stomach virus and then I say

970
00:56:29,160 --> 00:56:33,000
Speaker 1: it was in Ghana, and they get so much more concerned, like,

971
00:56:33,000 --> 00:56:37,520
Speaker 1: oh God, like, did you did you have visions? Yeah?

972
00:56:38,239 --> 00:56:43,320
Speaker 1: Did you like see visions? Yeah? No, no, not ourselves

973
00:56:43,440 --> 00:56:47,200
Speaker 1: and our body like completely swap out, like within a

974
00:56:47,280 --> 00:56:51,359
Speaker 1: period of six years seven seven, that's wild. We're just

975
00:56:51,400 --> 00:56:56,480
Speaker 1: like completely new organisms seven years, um seven to ten

976
00:56:56,560 --> 00:57:00,560
Speaker 1: years damn. Okay, Yeah, I knew when that happens because

977
00:57:00,600 --> 00:57:01,799
Speaker 1: I could be a little more on top of it.

978
00:57:01,840 --> 00:57:03,359
Speaker 1: You're like, yo, man, I'm about to get my whole

979
00:57:03,360 --> 00:57:05,719
Speaker 1: new cell shaped up in about two months, bro, let's talk.

980
00:57:06,640 --> 00:57:09,480
Speaker 1: You know what it's all reset Like yeah, like, trust me,

981
00:57:09,520 --> 00:57:11,200
Speaker 1: I will get to this project. I just need my

982
00:57:11,239 --> 00:57:16,160
Speaker 1: ship to reset cycle out. That will definitely be a

983
00:57:16,200 --> 00:57:18,920
Speaker 1: SPA treatment in the future where you let go and

984
00:57:18,960 --> 00:57:21,160
Speaker 1: they just like accelerate it so like get all your

985
00:57:21,200 --> 00:57:24,600
Speaker 1: cells switched out. So yeah, yeah, just let me go

986
00:57:24,640 --> 00:57:28,480
Speaker 1: re up right quick? Yeah? Oh ship? I like broccoli now,

987
00:57:28,680 --> 00:57:31,920
Speaker 1: that's wild, Yeah, because I feel like that's the same

988
00:57:32,240 --> 00:57:34,800
Speaker 1: that's the same time period they say your your sense

989
00:57:34,800 --> 00:57:37,520
Speaker 1: of taste like evolves over it's like every seven to

990
00:57:37,600 --> 00:57:41,360
Speaker 1: ten years. You oh right, you starting different foods. By

991
00:57:41,400 --> 00:57:45,280
Speaker 1: twenty I liked mushrooms finally, Yeah, mushrooms, So it was

992
00:57:45,280 --> 00:57:47,120
Speaker 1: twenty and that makes sense around if we're going by

993
00:57:47,160 --> 00:57:49,880
Speaker 1: sevens and tens and damn, that's wild. I started doing

994
00:57:49,960 --> 00:57:56,080
Speaker 1: mushrooms when I was like fifteen. Oh no. But put

995
00:57:56,120 --> 00:58:02,760
Speaker 1: that ship on a pizza. Um, one thing that I'm

996
00:58:02,840 --> 00:58:06,040
Speaker 1: probably not gonna do, but some people are doing. Uh.

997
00:58:06,120 --> 00:58:10,760
Speaker 1: The NYPD busted an illegal fight club over the weekend,

998
00:58:11,680 --> 00:58:14,400
Speaker 1: just just a warehouse of people beating the ship out

999
00:58:14,400 --> 00:58:17,920
Speaker 1: of each other and the Bronx. That's yeah. I think

1000
00:58:17,960 --> 00:58:21,720
Speaker 1: it's just like you know, we've talked before about how

1001
00:58:21,760 --> 00:58:25,640
Speaker 1: like cuddle parties are something that our society evolved to

1002
00:58:25,760 --> 00:58:29,480
Speaker 1: like take the place of you know, being around people

1003
00:58:29,760 --> 00:58:33,600
Speaker 1: and you know, just having far more jis or whatever

1004
00:58:33,680 --> 00:58:35,960
Speaker 1: people used to do. They got written out of the

1005
00:58:36,040 --> 00:58:38,960
Speaker 1: history books. But you say far more gis. I guess,

1006
00:58:39,000 --> 00:58:41,000
Speaker 1: I don't know. I don't know what what we used

1007
00:58:41,040 --> 00:58:44,080
Speaker 1: to do. Probably probably some far moregies. I don't know.

1008
00:58:46,000 --> 00:58:49,560
Speaker 1: But yeah, like we we have ways of evolving huge

1009
00:58:49,720 --> 00:58:52,960
Speaker 1: so that we can like get human contact. And like

1010
00:58:53,040 --> 00:58:56,440
Speaker 1: I feel like fighting people might be like one of

1011
00:58:56,440 --> 00:59:00,280
Speaker 1: those things that people are doing. Just like I don't

1012
00:59:00,320 --> 00:59:02,720
Speaker 1: want a fight club. Yeah you you were in a

1013
00:59:02,760 --> 00:59:05,800
Speaker 1: fight club. I was going a fight club in high school. Yeah, yeah,

1014
00:59:06,000 --> 00:59:15,480
Speaker 1: very in what state? Alabama? Obviously. No, I went to

1015
00:59:15,600 --> 00:59:18,280
Speaker 1: a very weird high school that was kind of in

1016
00:59:18,280 --> 00:59:21,320
Speaker 1: the middle of nowhere, and so I lived on campus.

1017
00:59:21,320 --> 00:59:23,240
Speaker 1: It was a boarding school, and so, like, I don't

1018
00:59:23,280 --> 00:59:26,440
Speaker 1: remember how it evolved. I think somebody just got a

1019
00:59:26,440 --> 00:59:28,920
Speaker 1: pair of boxing gloves from home and it became a

1020
00:59:28,960 --> 00:59:32,000
Speaker 1: thing where we just like we were just like go

1021
00:59:32,080 --> 00:59:35,320
Speaker 1: to the gym like every night for a while and

1022
00:59:35,360 --> 00:59:39,560
Speaker 1: just sucking fight, just beat each other's jack and then

1023
00:59:39,600 --> 00:59:43,560
Speaker 1: like um and then a librarian was there like super

1024
00:59:43,640 --> 00:59:46,240
Speaker 1: late one night and like poked her head into the gym.

1025
00:59:46,600 --> 00:59:49,680
Speaker 1: Didn't say anything. But then the next day they were like,

1026
00:59:49,720 --> 00:59:54,320
Speaker 1: hey 'all can't do that. It's not okay, Like obvious's

1027
00:59:54,320 --> 00:59:56,400
Speaker 1: like she's like, hey, let me hire to you. You're

1028
00:59:56,440 --> 01:00:01,200
Speaker 1: telegraphing your jab man. Yeah, is like you're never gonna

1029
01:00:01,200 --> 01:00:04,280
Speaker 1: make it, just like quit right now? Is Are you

1030
01:00:04,280 --> 01:00:06,080
Speaker 1: sure you're not a south ball? I was watching you.

1031
01:00:07,840 --> 01:00:09,320
Speaker 1: We'll talk about it. Seems like you've got a lot

1032
01:00:09,320 --> 01:00:10,800
Speaker 1: of heart but not a lot of technique. You know

1033
01:00:10,800 --> 01:00:14,280
Speaker 1: what I'm saying. What a weird comedy that would be.

1034
01:00:14,440 --> 01:00:16,520
Speaker 1: You're just getting this boarding school in the fight club

1035
01:00:16,600 --> 01:00:19,760
Speaker 1: and then the librarian is like this this woman boxer

1036
01:00:20,000 --> 01:00:22,080
Speaker 1: tech coach, like work with you? Okay, but I mean

1037
01:00:22,160 --> 01:00:25,400
Speaker 1: she was in she was in the gym, right, who

1038
01:00:25,440 --> 01:00:31,840
Speaker 1: knows right exactly? Yeah, he's just training other young prospects. Yeah,

1039
01:00:32,040 --> 01:00:34,880
Speaker 1: I mean, so was this but was this thing going on?

1040
01:00:35,280 --> 01:00:38,080
Speaker 1: Like was this a product of pandemic or they just

1041
01:00:38,120 --> 01:00:40,400
Speaker 1: finally caught onto the wild fight club that's been probably

1042
01:00:40,440 --> 01:00:42,840
Speaker 1: going on for a minute. I actually don't know. I

1043
01:00:42,840 --> 01:00:46,000
Speaker 1: feel like they had have been going on before. Yeah, probably, Well, yeah,

1044
01:00:46,000 --> 01:00:48,520
Speaker 1: but I can't see how it would. Oh my god,

1045
01:00:48,880 --> 01:00:51,640
Speaker 1: something straight out of anyone who listens to Bodego Boys

1046
01:00:51,760 --> 01:00:54,480
Speaker 1: knows the culture of the Bronx. This one paragraph right here.

1047
01:00:54,480 --> 01:00:56,920
Speaker 1: In New York City, Sheriff Joseph Fucito told gotham Is

1048
01:00:56,960 --> 01:00:59,360
Speaker 1: that his deputies first spotted event organizers with boom v

1049
01:00:59,400 --> 01:01:02,360
Speaker 1: i p events unloading chairs, tables and velvet rope used

1050
01:01:02,400 --> 01:01:05,400
Speaker 1: for crowd control before they went into the location where

1051
01:01:05,440 --> 01:01:10,560
Speaker 1: people were smoking hookah and drinking alcohol. Oh my god,

1052
01:01:10,680 --> 01:01:14,320
Speaker 1: there it is. But I wonder too if because there's

1053
01:01:14,320 --> 01:01:16,480
Speaker 1: no sports too. It's also like, fucking man, I'll go

1054
01:01:16,560 --> 01:01:18,200
Speaker 1: to this fight club, like I just need to see

1055
01:01:20,960 --> 01:01:24,320
Speaker 1: each other, right, Yeah, I'm definitely going to an unsanctioned

1056
01:01:24,320 --> 01:01:28,160
Speaker 1: fight club. Even better, Yeah, exactly, which I have some smokers,

1057
01:01:28,480 --> 01:01:30,680
Speaker 1: go see a smoker. As they say in the article

1058
01:01:30,680 --> 01:01:33,200
Speaker 1: I read on it, they definitely like highlighted that it

1059
01:01:33,240 --> 01:01:37,080
Speaker 1: was unsanctioned. Was there sanctioned fight clubs? Exactly? Yeah? Right,

1060
01:01:37,120 --> 01:01:39,800
Speaker 1: I mean I guess boxing gyms, but yeah, I guess so.

1061
01:01:40,240 --> 01:01:42,520
Speaker 1: But like but even then, like you know, like when

1062
01:01:42,520 --> 01:01:45,000
Speaker 1: it fights, like if you're fighting an unsanctioned fight, out

1063
01:01:45,000 --> 01:01:47,080
Speaker 1: of your like you're like, yeah, it's a smoker, bro,

1064
01:01:47,240 --> 01:01:51,000
Speaker 1: Like just so you know it's not yeah, mhm waites

1065
01:01:51,040 --> 01:01:54,360
Speaker 1: smoker a term for unsanctioned, un sanctioned fight. That's the one.

1066
01:01:54,440 --> 01:01:56,200
Speaker 1: That's the one that I've heard around people who do

1067
01:01:56,280 --> 01:02:00,800
Speaker 1: like muy tai and boxing around me. Wow, oh yeah

1068
01:02:01,160 --> 01:02:07,040
Speaker 1: I do, aggressive young man. Yeah no, I know the

1069
01:02:07,120 --> 01:02:10,760
Speaker 1: unsanctioned fight seeing totally. Yeah. Yeah, but you're you're but

1070
01:02:10,840 --> 01:02:13,120
Speaker 1: you caught you you got your stripes and wheeling West Virginia.

1071
01:02:13,560 --> 01:02:15,640
Speaker 1: It was different. Yeah, so you probably only got involved

1072
01:02:15,680 --> 01:02:19,000
Speaker 1: just because somebody stole like a family trinket or something. Yeah, exactly,

1073
01:02:19,000 --> 01:02:21,080
Speaker 1: Like and you gotta you know, you gotta stay go

1074
01:02:21,160 --> 01:02:23,920
Speaker 1: down to the barn fights and then start around for

1075
01:02:23,960 --> 01:02:29,600
Speaker 1: the farm plot of It's fully the plot of a

1076
01:02:29,640 --> 01:02:34,480
Speaker 1: Tony Job movie, right right, somebody stole your elephant? Yeah yeah,

1077
01:02:34,560 --> 01:02:39,560
Speaker 1: I mean, don't look around bro that I mean, uh,

1078
01:02:39,640 --> 01:02:41,600
Speaker 1: you know, yeah, it's been so fun having you. Man,

1079
01:02:41,600 --> 01:02:44,560
Speaker 1: where can people find you and follow you? Oh? You know,

1080
01:02:44,600 --> 01:02:48,440
Speaker 1: I'm on Instagram at professor do, on Twitter at your

1081
01:02:48,440 --> 01:02:53,320
Speaker 1: dot ot um, I got YouTube channel and all that

1082
01:02:53,840 --> 01:02:56,520
Speaker 1: called Beyond the Butt where I talk about anime um

1083
01:02:58,240 --> 01:03:01,400
Speaker 1: who I'm kind of it. Li'll just Instagram and Twitter.

1084
01:03:01,480 --> 01:03:05,320
Speaker 1: Just do that. That's easy enough. Yeah, yeah, follow him

1085
01:03:05,320 --> 01:03:08,160
Speaker 1: a simple what's a tweet or some of the work

1086
01:03:08,240 --> 01:03:11,960
Speaker 1: of social media you've been enjoying? Um? I have? Can

1087
01:03:12,000 --> 01:03:15,920
Speaker 1: I do too? Yeah? Okay? This one's by at Blonde

1088
01:03:15,960 --> 01:03:19,000
Speaker 1: like Goku and I this one, this is one that

1089
01:03:19,040 --> 01:03:22,000
Speaker 1: I showed to someone else and they hated it, specifically

1090
01:03:22,600 --> 01:03:26,320
Speaker 1: h Harry Harry Melling who played Um Dudley and Harry Potter.

1091
01:03:26,360 --> 01:03:27,920
Speaker 1: I showed it to him and he hated it. The

1092
01:03:27,920 --> 01:03:31,360
Speaker 1: tweet goes, uh call that pussy British the way I'm

1093
01:03:31,360 --> 01:03:41,440
Speaker 1: in it. He was so disappointed in me, and it

1094
01:03:41,560 --> 01:03:47,400
Speaker 1: was everybody else on set like it. But you just

1095
01:03:47,480 --> 01:03:50,320
Speaker 1: named dropped the dude who played Nevill long Bottom. Uh

1096
01:03:50,400 --> 01:03:55,240
Speaker 1: no Dudley Dudley Dudley. Yeah, yes, and uh the other

1097
01:03:55,240 --> 01:03:59,640
Speaker 1: ones by h Niles Abstin at Niles one d On Twitter,

1098
01:04:00,240 --> 01:04:02,280
Speaker 1: he says, I'll never forget this house party in college

1099
01:04:02,280 --> 01:04:04,640
Speaker 1: where this drunk white girl named Leah that I barely knew,

1100
01:04:04,680 --> 01:04:06,520
Speaker 1: grabbed me and asked, now, that was why are all

1101
01:04:06,560 --> 01:04:10,240
Speaker 1: these black people at my birthday party? Um? And it

1102
01:04:10,520 --> 01:04:13,640
Speaker 1: ends it was not her house or her party. Oh

1103
01:04:13,680 --> 01:04:19,520
Speaker 1: my god, what the fuck? Oh no, that's level getting

1104
01:04:19,520 --> 01:04:23,480
Speaker 1: sucked up. Yo. Um, Miles, where can people find you

1105
01:04:23,560 --> 01:04:27,560
Speaker 1: and follow you in with the tweet you've been enjoying? Uh,

1106
01:04:27,640 --> 01:04:31,800
Speaker 1: let's see. I'm on Twitter and Instagram at Miles of Gray. Uh.

1107
01:04:32,200 --> 01:04:35,680
Speaker 1: One two day like is from Lacey Mosley at Diva.

1108
01:04:35,720 --> 01:04:38,240
Speaker 1: Lacey says, my body really be acting shocked every time

1109
01:04:38,280 --> 01:04:40,800
Speaker 1: I don't have a baby every month, and quite frankly,

1110
01:04:40,840 --> 01:04:46,960
Speaker 1: I'm sick of it. Another one is from superducer anas

1111
01:04:47,400 --> 01:04:52,960
Speaker 1: Anajosie says, my new insult is now okay establishment democrat. Yeah,

1112
01:04:53,080 --> 01:04:54,960
Speaker 1: it's been an in soul for a minute, but yes, yeah,

1113
01:04:55,000 --> 01:04:57,320
Speaker 1: let's let's make that. Let's make that the new one. Yeah,

1114
01:04:57,440 --> 01:05:01,520
Speaker 1: normalize that the new okay boomer. You can find me

1115
01:05:01,640 --> 01:05:07,080
Speaker 1: on Twitter at Jack Underscore. O'Brien. I was enjoying Twitter

1116
01:05:07,120 --> 01:05:09,600
Speaker 1: thread this weekend where we were just talking about coming

1117
01:05:09,640 --> 01:05:14,640
Speaker 1: to America. Quotes that still just like pop out of

1118
01:05:14,640 --> 01:05:17,840
Speaker 1: your mouth every once in a while. I had yes, yes,

1119
01:05:17,920 --> 01:05:20,640
Speaker 1: fuck you too, The royal penis is clean, your highness,

1120
01:05:20,680 --> 01:05:24,920
Speaker 1: where's the spoon? A sexual chocolate? Everyone? And then people

1121
01:05:24,960 --> 01:05:28,640
Speaker 1: were responding with ones to me that I was like, oh, yeah,

1122
01:05:28,680 --> 01:05:31,400
Speaker 1: I always say that one too. Like half of my

1123
01:05:32,040 --> 01:05:35,360
Speaker 1: verbal like half of my inner monologue is just coming

1124
01:05:35,400 --> 01:05:39,439
Speaker 1: to America quotes. Um. Apparently the one I always say

1125
01:05:39,520 --> 01:05:43,800
Speaker 1: is whatever you like. That's probably my favorite one from

1126
01:05:43,840 --> 01:05:50,800
Speaker 1: that although they're all class yeah, you'll love it. Now

1127
01:05:50,840 --> 01:05:53,720
Speaker 1: I'm picturing the ha dude, but he's also the count,

1128
01:05:53,720 --> 01:06:03,720
Speaker 1: so he's like, um and then uh h K tweeted,

1129
01:06:03,760 --> 01:06:11,400
Speaker 1: who plays Jeffrey Epstein and the Crown? Um? Uh. You

1130
01:06:11,440 --> 01:06:14,400
Speaker 1: can find us on Twitter at Daily Zeitgeist, where at

1131
01:06:14,400 --> 01:06:17,200
Speaker 1: the Daily Zeitgeist on Instagram, we have a Facebook fan

1132
01:06:17,240 --> 01:06:20,120
Speaker 1: page on a website, Daily zeitgeis dot com. Worry post

1133
01:06:20,240 --> 01:06:23,880
Speaker 1: our episodes and our footnotes where we link off to

1134
01:06:23,920 --> 01:06:26,200
Speaker 1: the information that we talked about in today's episode, as

1135
01:06:26,240 --> 01:06:28,240
Speaker 1: well as the song we read out on miles What

1136
01:06:28,240 --> 01:06:31,280
Speaker 1: are we riding out on? This is Uh. I've played

1137
01:06:31,280 --> 01:06:34,000
Speaker 1: some tracks by Elkin and Nelson before, but there's another

1138
01:06:34,000 --> 01:06:36,480
Speaker 1: one want to play just because we gotta keep energy going. Tuesday,

1139
01:06:36,520 --> 01:06:39,320
Speaker 1: you gotta keep going. It's only sixty and sixty four

1140
01:06:39,360 --> 01:06:44,480
Speaker 1: more days until January. But this track is by Elkin

1141
01:06:44,560 --> 01:06:47,200
Speaker 1: and Nelson. They're like these Colombian brothers who I believe

1142
01:06:47,240 --> 01:06:50,640
Speaker 1: moved to Spain for Italy in the seven they started

1143
01:06:50,640 --> 01:06:53,360
Speaker 1: making disco in Europe. But they're from Columbia, so they've

1144
01:06:53,400 --> 01:06:56,280
Speaker 1: got this weird five and if you liked to sample music,

1145
01:06:56,320 --> 01:06:59,440
Speaker 1: their ship is a fucking treasure crow. But this track

1146
01:06:59,760 --> 01:07:04,160
Speaker 1: is called and it's only twenty nine seconds, but this ship,

1147
01:07:04,360 --> 01:07:06,680
Speaker 1: it's it's going for twenty nine seconds and it actually

1148
01:07:06,760 --> 01:07:09,160
Speaker 1: leads into another song. But if you want to hear that,

1149
01:07:09,240 --> 01:07:11,280
Speaker 1: you should just download their album, or we'll listen to

1150
01:07:11,280 --> 01:07:15,400
Speaker 1: their album called I'm Let's See Demonios because it's it's

1151
01:07:15,440 --> 01:07:19,480
Speaker 1: got it's got all kinds of hit songs. Alright. The

1152
01:07:19,600 --> 01:07:22,080
Speaker 1: Daily ZEI guys, the production of I Heart Radio. For

1153
01:07:22,160 --> 01:07:25,000
Speaker 1: more podcasts for my heart Radio, visit the heart Radio app,

1154
01:07:25,040 --> 01:07:27,560
Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

1155
01:07:28,240 --> 01:07:30,440
Speaker 1: That is going to do it for this morning. We'll

1156
01:07:30,480 --> 01:07:32,480
Speaker 1: be back this afternoon to tell you what's trending and

1157
01:07:32,520 --> 01:08:02,080
Speaker 1: we will talk to you all that. Bye. Met one