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Speaker 1: Hello the Internet, and welcome to Season one, four, Episode

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Speaker 1: four of the Daily Like Guys 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 shared consciousness and say, officially, off the top,

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Speaker 1: fuck the Koch Brothers, fuck Fox New fuck Rush Limbaugh,

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Speaker 1: fuck Ben Shapiro, fuck Tugger Carlson fond it. It's Thursday.

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Speaker 1: I guess we should also add like it's the place

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Speaker 1: where we tracked the president's psychosis over the past couple

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Speaker 1: of weeks. That's where we at with us. It's Thursday,

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Speaker 1: October eight. My name is Jack O'Brien a K. I

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Speaker 1: got it bad, Got it bad, Got it bad. I'm

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Speaker 1: hot for Gene Wilder. That's courtesy of Christie. I'm agochi Man,

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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. Greg Samma once told me she

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Speaker 1: was gonna roll me blunted. I could get really fucked

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Speaker 1: up with She was looking kind of numb with her

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Speaker 1: finger and or at the on I their side of

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Speaker 1: her noses. Okay, so shout out to my other a

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Speaker 1: K when I'm your boy Kusama Experimental black of these

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Speaker 1: artists and shout out to f l Skygeist on the

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Speaker 1: discord with the aka and titles submit. I was like,

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Speaker 1: I'm not really on the Twitter or Instagram, you know,

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Speaker 1: us in self preservation mode and thank you to everyone.

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Speaker 1: Be like, yo, you just check out the discord. There's

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Speaker 1: just people just throw them up there. You don't have

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Speaker 1: to see like, uh all like all right memes and

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Speaker 1: all kinds of weird swoopy ship. So shout out to

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Speaker 1: y'all for that. Do you have all right names in

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Speaker 1: your men cheese? No, not always, but you know you

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Speaker 1: you encounter them on the on social media for creation,

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Speaker 1: you know when you followed, when you followed the right accounts.

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Speaker 1: I've got a very uh itchy mute finger. I mute

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Speaker 1: the hell out of people. So I have a very

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Speaker 1: artific initial environment on Twitter anyway, it looks like so

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Speaker 1: I make it look like it's basically it's cool. Anyways,

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Speaker 1: gain get ready for a frontal lamber to me, because

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Speaker 1: we've got we are joined by the hilarious, the talented

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Speaker 1: Molly Lamber. What's up? What's up? What's up? You guys?

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Speaker 1: Ready to get your faces off? Oh? Fuck yeah, fully

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Speaker 1: face off? Molly? How what's new? I guess oh you know,

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Speaker 1: I was on the sky was on fire and uh,

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Speaker 1: now the air is kind of bad and hanging out inside.

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Speaker 1: Just gotta make podcasts, Yeah, yeah, I gotta make them

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Speaker 1: cast gotta cast them pods. What's the latest going on?

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Speaker 1: On Nightcall Over, on nightcall Over, on Nightcall, we've been

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Speaker 1: talking about the Vowel Lot documentary and uh, we've been

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Speaker 1: taking some great calls about the new age to Q

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Speaker 1: and on pipeline is uh, you know, yoga ladies, yoga

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Speaker 1: and wellness. People start getting into like anti vaxing, and

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Speaker 1: then it's just a hop, skip and a jump to

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Speaker 1: Q and on Wow that makes wow interesting, it's happening.

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Speaker 1: Didn't I didn't realize what a nice pair that was together? Yeah,

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Speaker 1: they pair so nicely together. Okun Oki finish spooky, very

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Speaker 1: spooky spooky. Okay is in Oklahoma and is a tree hugger.

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Speaker 1: They fare well together. All Right, Molly, we're going to

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

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Speaker 1: we are going to tell our listeners a few of

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Speaker 1: the things we're talking about today. We are we just

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Speaker 1: have a section on our dock now called what the

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Speaker 1: funk was? That continued? We're just is gonna check in

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Speaker 1: with what the president is up to. He's apparently still

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Speaker 1: struggling to breathe according to White House aids, not according

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Speaker 1: to his doctors, who say that he has not shown

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Speaker 1: even the slightest symptom of COVID in the past twenty

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Speaker 1: four hours. We are going to check in with some

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Speaker 1: psychiatrists who believe that the president meets the criteria for

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Speaker 1: being locked away. Uh, We're going to check in with

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Speaker 1: the side effects of the steroids, because we were we

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Speaker 1: were even doubting ourselves. We were like, wait, steroids that

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Speaker 1: that sounds like the side effects of the like Arnold

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Speaker 1: Schwarz and like bodybuilders steroids. Didn't take steroids, idiot, that's right,

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Speaker 1: My bad, Arnold. So we did a little bit of

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Speaker 1: a deep dive into the actual side effects of the

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Speaker 1: cortical steroids that the president is on. It is what

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Speaker 1: we thought was, we are going to check in with

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Speaker 1: what the presidents saying about economic relief for the country

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Speaker 1: or not or not saying. We're gonna talk about Martha McSally,

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Speaker 1: We're gonna talk that how qann is interpreting the president's diagnosis.

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Speaker 1: We're gonna talk about dog phase four twenty. Oh that

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Speaker 1: plenty more. But first, Molly, what is something from your

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

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Speaker 1: just be straight with you, guys. I was looking up

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Speaker 1: stuff about the UNI Bomber last night. Watch the documentary.

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Speaker 1: What's the documentary called. It's called the UNI Bomber in

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Speaker 1: his own words? Oh yeah, yeah, right that one. Now

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Speaker 1: it's like, yeah, it is super good and super interesting

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Speaker 1: and uh in a way, very timely about environmental issues.

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Speaker 1: So look at us. Give it a look up. Not endorsed,

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Speaker 1: not endorsing bombing, no, but endorsing documentaries, yes, especially not

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Speaker 1: endorsing those bombings, because I mean, the guy builds a

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Speaker 1: ship bomb but man has manifesto. What a vision for

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Speaker 1: the future. Huh check it out, just going deep on

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Speaker 1: like eco fascism, and it's corollary. It's good corollary. He

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Speaker 1: and and he has the supervillain origin story that is

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Speaker 1: like mind blowing. Um, It's truly his story is one

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Speaker 1: of the most amazing stories. That's I've always been obsessed

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Speaker 1: with Ted Kazinski. That's why at cracked our version of

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Speaker 1: like the Twitter egg, where you don't have where you

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Speaker 1: haven't posted a picture of yourself was the un Bober

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Speaker 1: sketch for most of the history of the site. I

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Speaker 1: think looks like looks like every guy exactly, So I

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Speaker 1: kin think did they do enough like sketches, like sketch

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Speaker 1: comedy about the Uni bomber sketch, Like who that guy was?

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Speaker 1: That feels like it would have like that gave you

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Speaker 1: hours of terrible sketch comedy of like a dude who

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Speaker 1: was like, I'm just a skate I'm just a roller

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Speaker 1: skater man. Uh, and they got me mixed up and

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Speaker 1: like this is yes, my little my my s curl

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Speaker 1: got I don't know how this became the face of terror.

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Speaker 1: I'm just a peace love and roller skater. I don't know.

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Speaker 1: I just want I always get the biggest kick. Looking

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Speaker 1: at that that sketch, I mean it's very like a

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Speaker 1: very blandly handsome man rocking a hoodie well before it's time. Uh,

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Speaker 1: and then like aviators and a mustache, like those are

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Speaker 1: all things that are mostly cool. Now. I just love

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Speaker 1: police sketches in general. Yeah, they're so good. I just

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Speaker 1: want that job. Yeah. Was the person that is there

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Speaker 1: any background on like the person that gave the description

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Speaker 1: that led to that sketch, like how we ended up

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Speaker 1: with that sketch. Yeah, it was somebody who saw one

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Speaker 1: of the bombs being deposited. It was like in the

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Speaker 1: parking lot of electronics store something mostly targeted academics, but

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Speaker 1: some just like people who are making technology. And so

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Speaker 1: it was like not the guy who who picked up

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Speaker 1: the bomb and got sucked up by it, but a

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Speaker 1: different person working at that store or that office or

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Speaker 1: whatever who saw somebody in the parking lot like shortly beforehand. Wow, Okay,

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Speaker 1: I'm just saying, rewatch terminator too. You know the way

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Speaker 1: they're going back and back in time to take out

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Speaker 1: the people who are going to build the destruction of

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Speaker 1: our future. Now, I should not be that sympathetic to

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Speaker 1: the UNI bomber. I'm sorry. I'm sorry, you're like, yo, dude,

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Speaker 1: he's like, he's like a terminator if you really think

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Speaker 1: about it. Bro. All right, I'm gonna stop talking about

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Speaker 1: the UNI bomber because sorry, guys brought that energy in. Yeah,

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Speaker 1: I've been lamburdomized. Is that is that a thing you should?

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Speaker 1: You should maybe trademark you just made it. Yeah, that's

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Speaker 1: my that's gonna be my shock jock show, dude, just

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Speaker 1: sipping Lambrusco. What is something you think is overrated? Molly overrated?

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Speaker 1: Uh god, I should have thought about this more because

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Speaker 1: I knew I was coming on. I thought of my

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Speaker 1: underrated first. Uh, you want to do underrated first, let's

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Speaker 1: do that underrated. I'm gonna say clean air. All I

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Speaker 1: think about right now is uh breathing in some some

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Speaker 1: good old clean air that doesn't hit the a qi

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Speaker 1: in the in the bad zone. Oh my god. I

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Speaker 1: was talking to somebody, uh, and they were talking about

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Speaker 1: where they went. The first thing I said was what

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Speaker 1: was the a Qui over there? What was it like?

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Speaker 1: And they said that ship was a ten? Yeah, And

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Speaker 1: I was like you yeah, no totally. And uh. We

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Speaker 1: got a call from Australia on nightcall that was really

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Speaker 1: great from somebody about a Qui being like, it's a

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Speaker 1: lot of it's bullshit. A lot of the a Qui

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Speaker 1: monitors are averaging things and so they're not accurate. Got it.

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Speaker 1: They said, the one to use his purple air, which

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Speaker 1: is the one I have been using, because it's like,

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Speaker 1: to the minute, tells you what the a q u

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Speaker 1: I is. But it's also great because they were Australian,

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Speaker 1: so they were like pipple, yeah, you know, pep pip.

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Speaker 1: I'm gonna say overrated binge watching. I'm so fucking tired

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Speaker 1: of binge watching. And is that because you've been doing

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Speaker 1: a lot of it or because you've just seen the

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Speaker 1: side effects take over? I'd say both. I think when

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Speaker 1: we first were like, oh, we're going to be inside

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Speaker 1: a lot, it was like, well, fine, we'll just watch

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Speaker 1: lots of stuff, And now I'm just like I just

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Speaker 1: want to go crawl around on the ground and like

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Speaker 1: touch touch the earth, you know, just get back in

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Speaker 1: touch the How how long did it take before did

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Speaker 1: you immediately feel like binge watching wasn't gonna work? Or

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Speaker 1: did you really give it a go? And then you're

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Speaker 1: like I gave it a go. I mean, I'm I'm

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Speaker 1: watching so much stuff still right right, But it's like

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Speaker 1: I'll reach a point where it has no effect anymore.

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Speaker 1: You know, it's like chain smoking. It's just like, oh,

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Speaker 1: it's never going to feel as good as that first one.

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Speaker 1: You're just trying to get something back. Can't catch the dragon?

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Speaker 1: Which have you felt like as a kid, right, Like

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Speaker 1: I remember always being told like you cannot watch all

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Speaker 1: this TV, like you know, as sucking you up, get

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Speaker 1: the funk, Like yeah, and then I feel like that

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Speaker 1: sort of lack of access to want to watch TV

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Speaker 1: when I wanted, however I wanted, gave way probably to

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Speaker 1: like our generation starting to binge watch because almost like, oh, yeah,

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Speaker 1: my mom, I'm not gonna watch an entire fucking season

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Speaker 1: of a show sitting down watch this ship. Mom. Totally,

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Speaker 1: I was not allowed to have a TV in my room. Uh.

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Speaker 1: I like moved into my brother and I shared a room,

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Speaker 1: and then when we split split up rooms, it was

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Speaker 1: like one of us was going to move into a

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Speaker 1: room that had a TV in it, but if it

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Speaker 1: was me, they were going to take it away. But

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Speaker 1: then my brother, he couldn't be trusted, couldn't be trusted.

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Speaker 1: My brother moved in that room and they were like, oh,

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Speaker 1: he can have the TV because he's got self control

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Speaker 1: with it. He's not going to stay up all night

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Speaker 1: watching TV. Uh, they're right. They were totally jokes on them.

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Speaker 1: I mean it's also it's not necessarily like fully our fault.

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Speaker 1: They've also like engineered. I mean, there's just been more

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Speaker 1: opportunities to like create TV shows and see what succeeds.

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Speaker 1: Like when you look back at like eighties TV, it's

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Speaker 1: pretty bad, and now they're making better TV. And they're

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Speaker 1: also they've combined it with the data that technology gives us,

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Speaker 1: So they're going, I'm gonna say TV is always the

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Speaker 1: same ratio of good to bad because I feel like, yeah,

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Speaker 1: like maybe there's slightly more good stuff now, but there's

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Speaker 1: so much more bad stuff too. Yeah. Right, Yeah, that's true.

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Speaker 1: There's still just as many uh grifters who own production

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Speaker 1: companies who are like, it's just like, yeah, like in

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Speaker 1: the eighties, there's only like twelve cokeheads you needed to

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Speaker 1: know to get a TV show, and now there's like

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Speaker 1: three thousand of them. So this is there are many

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Speaker 1: ways the filter has we got. There's not as much

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Speaker 1: fine mesh that we're using to process how ideas anymore. Yeah,

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Speaker 1: but you're still we're better now. We have better technology

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Speaker 1: for finding the really addictive shows and we're like, oh man,

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Speaker 1: it's so addictive, you gotta check it out because we

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Speaker 1: just want time to pass. Yeah, but we're in an

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Speaker 1: existential crisis of late capitalism. I know. But I think

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Speaker 1: what Miles is saying is like you would have had

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Speaker 1: the same experience, just like mainlining a bunch of ALF,

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Speaker 1: you know, right, yeah, if you had the opportunity to

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Speaker 1: watch all of ALF and see how ALF resolves. Right,

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Speaker 1: But I mean like comedies are sitcoms were the most

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Speaker 1: popular thing, and those are inherently like they resolve the

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Speaker 1: conflict and go back reset at the end of every episode,

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Speaker 1: right whereas now two part very special episode okay, okay,

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Speaker 1: fair enough, that would always suck you upen like there's

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Speaker 1: no respect in syndication, and they would play a two

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Speaker 1: parter and only play like part two out of nowhere

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Speaker 1: or part one, but not part two to follow them

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Speaker 1: like what those were invented by Cheers. I found out

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Speaker 1: Cheers invented two part episodes and they were like, sorry,

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Speaker 1: sorry y'all for doing that because of what Miles sat,

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Speaker 1: because they don't go together in syndication usually. Hyeah, yeah,

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Speaker 1: I hate to see it. Mr Burns episodes out of

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Speaker 1: order you never find out, Oh my god, no, you

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Speaker 1: can't do that. It's funny because we were just talking

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Speaker 1: about Mr Burns yesterday. Mr Burns man, he's between the

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Speaker 1: spruce goose reference of Trump trying to get in his

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Speaker 1: suv ride with the Secret Service, or even with his

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Speaker 1: dex of metho zone becoming like Mr Burns longevity shots

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Speaker 1: where they thought he was the alien. Uh there's Big

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Speaker 1: Burns energy right now. Yeah. I mean we have so much,

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Speaker 1: so many fictional characters that those are like Greek gods

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Speaker 1: where they really uh you know, lasting ones are the

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Speaker 1: are the things that really like connect with our collective

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Speaker 1: unconscious And Mr Burns I think is is our Zeus um,

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Speaker 1: you know, just an unkillable, uh uber, greedy billionaire that

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Speaker 1: goes against my theory that I've always had, which is

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Speaker 1: that the Clintons are our juice to Harrah. Okay, yeah,

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Speaker 1: you know how the Greek myths are always like, oh,

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Speaker 1: Zeus is like fucking around and then his wife finds

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Speaker 1: out and turned somebody into a swan. But also like, no,

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Speaker 1: I wasn't. If I was, why would I transform them

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Speaker 1: right now out of anger? It's like that's not a

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Speaker 1: good defense, right, just like playing pranks on people goofs. Finally, Molly,

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

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Speaker 1: You know to be falser vice versa. A myth is

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Speaker 1: that the McDonald's ice cream machine will be working? Do

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Speaker 1: you go there. When you try to go get yeah,

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Speaker 1: when you try to go get the J Balvin meal

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Speaker 1: follow up, Yeah, yeah, you missed that. Trending dude, the

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Speaker 1: Cactus jackmeal, the Trappis Scott meal, which is just a

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Speaker 1: bacon cheeseburger with a sprite and fries. Now you can

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Speaker 1: get the J. Balvin meal, which I believe it like

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Speaker 1: a big mac an Oreo mcflurry and friends you getta

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Speaker 1: you geta Oreo mcflurry instead of the drink for the

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Speaker 1: same price. That's but it's a myth because that ice

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Speaker 1: cream machine is not going to be working with you. Yeah,

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Speaker 1: they're just like theoretically you could, but I just love

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Speaker 1: that instead of doing anything actually interesting or good, they're

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Speaker 1: just like, we're going to get a bunch of famous

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Speaker 1: people to tell us that they're McDonald's order, and then

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Speaker 1: we're just gonna sell that as a celebrity order. I mean,

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Speaker 1: what would you guys, uh, what would the the zeitgeist

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Speaker 1: meal be? So I would say that, all right, it

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Speaker 1: would definitely be a negotiation. Because Miles and I don't

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Speaker 1: have exactly the same taste in things such as fries.

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Speaker 1: He is a he likes a soft mushy fry. I

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Speaker 1: am mush boy. He's a mush boy. I like my

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Speaker 1: fries nice and crispy. So I would I would give

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Speaker 1: you sandwich, Miles if you would allow me to make

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Speaker 1: the fries well done. Yeah, yeah, that's fine. Okay, you

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Speaker 1: that insistent on the fry, but ordering that I care about.

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Speaker 1: And but you can't order fries like a fry wellness

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Speaker 1: at McDonald's, can you. Yeah you can? You can't. Yeah, okay,

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Speaker 1: well I gotta go. I gotta go to McDonald's. Then

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Speaker 1: you can order the new batch of fries too, yeah,

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Speaker 1: you know, Okay, if it was a sandwich, you know,

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Speaker 1: I you know, I'm you know what I mean. I'm nasty.

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Speaker 1: I like fish where I wear this subway fish baby,

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Speaker 1: you know what I mean? So I think or a

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Speaker 1: mcsurfin turf. Actually that's what would be. It would be

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Speaker 1: the double quarter pounder with the filetl fish patty in between. Yeah,

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Speaker 1: and then you can firmly disrupt everybody on your commute.

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Speaker 1: That would be too hard for that. We're we're giving

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Speaker 1: the workers too much work. So maybe okay, then it

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Speaker 1: would just be uh double quarter pounder and the filet

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Speaker 1: of fish and then the people can do it themselves. Yeah.

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Speaker 1: If it is, then it's like me because I'm high.

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Speaker 1: So it's not gonna be one thing. It's gonna be

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Speaker 1: like a filet o fish and tend spicy nuggets boom. Yeah. Yeah,

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Speaker 1: that's what we're hearing and front line. But also the

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Speaker 1: thing where you just get the ice cream, or you

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Speaker 1: just get a mcfleury plain with the apple pie, and

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Speaker 1: sometimes they'll blend that ship in there for you if

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Speaker 1: if you know somebody that works there, because we just

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Speaker 1: have you know, I've been back in the day when

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Speaker 1: your boys were working at the drive through. Yo, blend

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Speaker 1: the apple pie up otherwise if not, just yeah, or

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Speaker 1: just get the mcfleury ship and go home and just

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Speaker 1: fucking stabbed the ship out of it in the cup

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Speaker 1: and eat that ship. Oh put it in the end.

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Speaker 1: I've never gotten to mc fleury without asking for extra

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Speaker 1: of whatever the fixing is. I always because I'm a

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Speaker 1: fancy boy, I'll spend that extra money. I just want

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Speaker 1: a little extra filling. Ain't nothing for the flextras, you

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Speaker 1: know what I mean. That's right, that's right. How about

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Speaker 1: you to h the lamb the Lambert me um just

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Speaker 1: like a hundred McNuggets, right, and replace those fries with

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Speaker 1: more McNuggets. Yeah, maybe like that, maybe like the apple slices,

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Speaker 1: just for like extra chaos energy. That's my favorite form

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Speaker 1: of bargaining. When you go to McDonald's you get the

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Speaker 1: wild ass seven thousand calorie order and like in to

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Speaker 1: drink or like, let me get the saunty water that

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Speaker 1: isn't doing anything. Actually, I will say though, uh, I

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Speaker 1: probably wouldn't pick McDonald's if if this is really like

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Speaker 1: the Molly Lambert fast food endorsement, I would want to

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Speaker 1: like a Del Taco meal taco. I thought you were

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Speaker 1: getting Bell. No Del Taco Taco Bell. And they have

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Speaker 1: the weirdest novelty things that Del Taco lately, just like

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Speaker 1: they add the weirdest extras. I feel like in the

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Speaker 1: arms race of fast food, like Jack in the Box

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Speaker 1: and the other kind of non McDonald's ones at all

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Speaker 1: kinds of weird bonus items. Yeah. But they had this

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Speaker 1: thing at Del Taco that was essentially boba soda boba

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Speaker 1: and it worked. Oh my god. It was called Poppers

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Speaker 1: Relax that it came. It comes in two flavors and

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Speaker 1: one of them is like sprite with cherry boba, so

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Speaker 1: it's like turns into a cherry sprite as you drink

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Speaker 1: the boba and the little cherry bobas pop in the soda.

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Speaker 1: It was so good. Yeah, I mean, if we could

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Speaker 1: go cross platform meals, like, my side would definitely be

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Speaker 1: to Jack in the Box. Tacos might be my favorite

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Speaker 1: fast food item. Oh, I was just gonna say, like

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Speaker 1: it just writes itself, the Jack O'Brien. There you go,

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Speaker 1: you know, Jack Taco jacko the box. If you could

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Speaker 1: go super local, like to the point where it wasn't

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Speaker 1: a fast food chain, we just go, No, this is

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Speaker 1: literally me, this is my order. You've never heard of

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Speaker 1: this place, but this is how the funk I get down.

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Speaker 1: What would that be the I mean mine would be

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Speaker 1: maca Manco's Jersey Shore Pizza, just a cheese slice. Oh yeah,

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Speaker 1: that's too hard of a question, Miles. I mean, this

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Speaker 1: could be an entire podcast. We're just going what would order.

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Speaker 1: We'll just be like like fifty minutes of me and

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Speaker 1: Miles talking about like, what's the ideal Henry's tacos order?

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Speaker 1: Right right? Oh my god, pre move Henry's pre move,

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Speaker 1: Henry's Oh yeah, just what didn't hit the same? Yeah,

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Speaker 1: I think the one thing would be, uh, I would

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Speaker 1: be like something about zanco. You know, I gotta get

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Speaker 1: my chicken. That's that's my Yeah, we'd chriss digress. That's

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Speaker 1: kind of what we do for a living. All right,

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Speaker 1: let's take a quick break and we'll be right back.

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Speaker 1: And we're back and uh, we've just had a exhibit

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Speaker 1: a that the secret works. As we were talking about

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Speaker 1: Henry's tacos. DJ Daniel's roommate was like, yeah, I'm hitting

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Speaker 1: Henry's tacos. Want me to pick you up anything that's wild? Wild?

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Speaker 1: We got the magic. Yeah, so join our cult, won't you?

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Speaker 1: All right, let's do what the funk was that part

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Speaker 1: seven thousand. President Donald Trump is apparently struggling to breathe,

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Speaker 1: but not admitting that. So just like being a big

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Speaker 1: tough guy while not being really able to breathe. His

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Speaker 1: aids are speculated that part of the reason that he

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Speaker 1: immediately removed his face mask was because he doesn't seem

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Speaker 1: like he's breathing so well, and so they he needed

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Speaker 1: to get better oxygen come and do his face that

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Speaker 1: what a well, that's the phaser over now. Like the

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Speaker 1: the leaks are basically them talking shit about him is

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Speaker 1: like bad health. They're like, honestly, that looks like the

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Speaker 1: mask off because he was sucking mad are honestly so whatever?

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Speaker 1: But can you can we do this anonymously? Thanks? Right? Um?

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Speaker 1: There like grave concern for the ability to breath, and

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Speaker 1: I was like, no, dude, he's fooling, He's fucking around,

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Speaker 1: that's all bullshit. Yeah. Um, there's a Yale psychiatrist who

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Speaker 1: thinks that he should be committed. Um. She says that

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Speaker 1: sociopathy is dangerous in part because, out of envy of

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Speaker 1: other human beings for having human characteristics, it actively desires

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Speaker 1: people to suffer and die. Um. And so the idea

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Speaker 1: is that the thing she saw, I think in this

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Speaker 1: latest round of you know, irrational, um terrifying behavior was

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Speaker 1: that he seemed to really get a kick out of

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Speaker 1: putting people's lives in danger when he took off his

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Speaker 1: mask and was like, you know, giving recommendations that are

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Speaker 1: counter the you know, health advice of actual doctors and scientists.

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Speaker 1: He seems to do physically be getting like a charge

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Speaker 1: out of that. The man is a troll. Yeah, has

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Speaker 1: anyone talked about his New accent. Am I the only

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Speaker 1: one that can't get over his like speaking style from

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Speaker 1: that weird balcony video. Is it more accented, like deeper

403
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Speaker 1: New York accent? It's just weird. It's just like it's

404
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Speaker 1: not it's this. It's like he's feels he's playing a character.

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Speaker 1: It feels like he's acting or something. He's he's pronouncing,

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Speaker 1: Like his pronunciation of certain words strikes me as different.

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Speaker 1: He's doing an impression of the alle Baldwin impression of himself,

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Speaker 1: which is the greatest impression. We still agree he Alco

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Speaker 1: Baldwin totally nailing it. Thank you? What do I found, Mike?

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Speaker 1: Oh yeah, Alec Baldwin. Things we know about him is

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Speaker 1: he's never gotten drunk or even had a drink. I think, yeah,

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Speaker 1: really yeah, he's a yeah really yeah, just like w

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Speaker 1: well w was drunk, is a dry drunk or you know,

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Speaker 1: recovered recovered alcoholic. I think Trump was never any like

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Speaker 1: just it never interested him. Do you think that's just

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Speaker 1: because he hates losing control? I think he also saw

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Speaker 1: his brother drink himself to death and was like, I

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Speaker 1: don't want to do that. But then yeah, the I

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Speaker 1: think there's the control aspect of it. And also he's

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Speaker 1: it's not like a moral thing because he also has

421
00:26:57,440 --> 00:27:01,960
Speaker 1: been blowing rails of ad role since the eighties. Yeah.

422
00:27:02,119 --> 00:27:05,560
Speaker 1: I mean that's what I have always thought was he

423
00:27:05,560 --> 00:27:10,040
Speaker 1: he gives off like speed freak vibes and similar to

424
00:27:10,400 --> 00:27:13,960
Speaker 1: the Nazis who were all blowing rails of speed constantly,

425
00:27:14,119 --> 00:27:15,840
Speaker 1: like that is a thing that will make you not

426
00:27:15,920 --> 00:27:23,240
Speaker 1: have empathy. Yeah, exactly. Yeah. Uh. Hitler was also very

427
00:27:23,280 --> 00:27:26,800
Speaker 1: anti intoxicants up until the end when he started getting

428
00:27:26,960 --> 00:27:32,720
Speaker 1: really into uh speed and then heroin combinations. Uh. And

429
00:27:32,840 --> 00:27:35,760
Speaker 1: he was a vegetarian, as people love to point out.

430
00:27:35,800 --> 00:27:38,880
Speaker 1: I mean there's a lot of like animal rights racists

431
00:27:39,600 --> 00:27:44,200
Speaker 1: right right, Yeah, as you talked about the pipeline from Yeah,

432
00:27:44,240 --> 00:27:46,920
Speaker 1: that's a big part of the pipeline. They're like, oh,

433
00:27:46,960 --> 00:27:52,360
Speaker 1: we gotta save the children by killing everyone else. Yeah.

434
00:27:52,440 --> 00:27:55,359
Speaker 1: So I the reason I bring up his teetotaling is

435
00:27:55,480 --> 00:27:58,440
Speaker 1: that I do think that for somebody like that who's

436
00:27:58,440 --> 00:28:03,800
Speaker 1: in their seventies and only has really experience with in toxicans,

437
00:28:03,880 --> 00:28:07,520
Speaker 1: that like take them up a notch. Something like the

438
00:28:07,640 --> 00:28:11,480
Speaker 1: side effects from these steroids might be, you know, hitting

439
00:28:11,480 --> 00:28:16,879
Speaker 1: a little bit different, might be causing accent changes. Do

440
00:28:16,960 --> 00:28:21,240
Speaker 1: you think he's getting loopy? Oh, yeah, he seems loopy.

441
00:28:21,440 --> 00:28:24,480
Speaker 1: He seems slightly loopy to me. And guys, don't don't

442
00:28:24,520 --> 00:28:26,520
Speaker 1: quote me on this, but this guy seems a little

443
00:28:26,520 --> 00:28:28,800
Speaker 1: loopy if you don't know, if you've seen these clips,

444
00:28:28,920 --> 00:28:33,240
Speaker 1: he looks like a dude who has just like maybe

445
00:28:33,600 --> 00:28:35,960
Speaker 1: uh you know, like his star Trek when they beam

446
00:28:36,000 --> 00:28:38,320
Speaker 1: you down or beam you up somewhere from the first

447
00:28:38,520 --> 00:28:40,680
Speaker 1: he looks like a dude who just got beamed down

448
00:28:40,760 --> 00:28:42,560
Speaker 1: for the first time. He's still kind of dealing with

449
00:28:42,600 --> 00:28:45,880
Speaker 1: like the trip. And I was like, whoa, Okay, okay,

450
00:28:45,920 --> 00:28:49,280
Speaker 1: I'm here, that happened. All right, you're still good. Donald,

451
00:28:49,960 --> 00:28:52,560
Speaker 1: that was a little trippy, But do this like he's

452
00:28:52,560 --> 00:28:55,480
Speaker 1: still it feels like a process of finding his feet

453
00:28:55,520 --> 00:28:58,120
Speaker 1: but also trying to assert that his feet are firmly

454
00:28:58,160 --> 00:29:00,720
Speaker 1: on the ground. So it just makes for this very

455
00:29:00,800 --> 00:29:05,840
Speaker 1: like off balanced performance. And yeah, that it quits quite

456
00:29:05,840 --> 00:29:09,160
Speaker 1: a performance. Yeah. We had a listener right in and

457
00:29:09,240 --> 00:29:12,600
Speaker 1: say they thought we were mixing up like the type

458
00:29:12,600 --> 00:29:14,560
Speaker 1: of steroids he was on, and that we were just

459
00:29:14,600 --> 00:29:20,760
Speaker 1: like confusing the cortical steroids with anabolic steroids. And it's

460
00:29:20,760 --> 00:29:24,120
Speaker 1: actually like they that's what I thought too. I was like, wait,

461
00:29:24,200 --> 00:29:28,000
Speaker 1: the like medical steroids don't make you into like a

462
00:29:28,160 --> 00:29:34,880
Speaker 1: roid raging you know, uh person. But he like, apparently

463
00:29:35,040 --> 00:29:38,800
Speaker 1: this specific steroids, Like people have been writing about it.

464
00:29:38,800 --> 00:29:44,080
Speaker 1: It's called Dexa metha zone and like people were writing

465
00:29:44,080 --> 00:29:48,040
Speaker 1: about how they were prescribed it for hearing loss, and

466
00:29:48,480 --> 00:29:50,680
Speaker 1: they're like, I remember feeling just like Trump for the

467
00:29:50,680 --> 00:29:53,240
Speaker 1: first few days, better than I've ever felt in my life.

468
00:29:53,600 --> 00:29:56,520
Speaker 1: But there were several important differences between me and Trump.

469
00:29:56,560 --> 00:29:59,600
Speaker 1: I was not in charge of the free world. My

470
00:29:59,680 --> 00:30:03,480
Speaker 1: worst decision was eating five bowls of cereal in front

471
00:30:03,480 --> 00:30:06,320
Speaker 1: of the refrigerator at three am, which, by the way,

472
00:30:06,360 --> 00:30:09,560
Speaker 1: he did. The One of the things that his doctor

473
00:30:09,800 --> 00:30:13,120
Speaker 1: pointed to to be like he's back, baby, was that

474
00:30:13,160 --> 00:30:16,200
Speaker 1: he ate like five plates of dinner in the hospital.

475
00:30:16,640 --> 00:30:20,120
Speaker 1: They were like, he's a hungry boy. Um, he just

476
00:30:20,160 --> 00:30:24,000
Speaker 1: like housed like five dinners all at once. Are they

477
00:30:24,040 --> 00:30:26,840
Speaker 1: treating him like a fucking newborn panda? Why is that

478
00:30:26,920 --> 00:30:29,960
Speaker 1: like the standard for how well this do? Oh? He

479
00:30:30,240 --> 00:30:34,239
Speaker 1: ate like five Mexi melts and and and and and

480
00:30:34,280 --> 00:30:36,400
Speaker 1: down to two leader of Mountain dew. You should have

481
00:30:36,440 --> 00:30:41,880
Speaker 1: seen him, the boy Clinic, Just real quick before we

482
00:30:41,920 --> 00:30:44,360
Speaker 1: move on from the side effects. The Mayo Clinic says,

483
00:30:44,360 --> 00:30:48,560
Speaker 1: although disturbances of mood, cognition, sleeping behavior, as well as

484
00:30:48,680 --> 00:30:51,880
Speaker 1: frank delirium, they keep calling it frank delirium, which is

485
00:30:52,040 --> 00:30:55,480
Speaker 1: I guess like just straight up and down. Nobody's not

486
00:30:56,160 --> 00:30:58,920
Speaker 1: even even the most sober ied person is like that

487
00:30:59,080 --> 00:31:03,400
Speaker 1: is delirium or even psychosis are possible. The most common

488
00:31:03,440 --> 00:31:09,320
Speaker 1: adverse effects of short term corticos steroid therapy are euphoria

489
00:31:09,520 --> 00:31:14,040
Speaker 1: and hippomania, which is not related to being a hungry,

490
00:31:14,120 --> 00:31:17,720
Speaker 1: hungry hippo, but just it's basically another word for Yeah,

491
00:31:17,720 --> 00:31:22,880
Speaker 1: it's hypomania, and it's just another word for being euphoric. Yeah.

492
00:31:23,080 --> 00:31:26,280
Speaker 1: So that's just all worth keeping in mind as we

493
00:31:26,400 --> 00:31:31,640
Speaker 1: view the president's long tweet storms about how everything is

494
00:31:31,720 --> 00:31:34,000
Speaker 1: love and how he's gonna win, and how none of

495
00:31:34,640 --> 00:31:37,880
Speaker 1: none of the poles are telling the truth right, We're

496
00:31:37,960 --> 00:31:41,600
Speaker 1: just even like how on one hand, right, age are like, yo,

497
00:31:41,640 --> 00:31:46,240
Speaker 1: this dude is a struggling to have breaths, And then

498
00:31:46,280 --> 00:31:48,920
Speaker 1: you get these other reports where they're saying like all

499
00:31:48,960 --> 00:31:53,560
Speaker 1: his vitals are fantastic, it's everything is normal even to

500
00:31:53,720 --> 00:31:57,760
Speaker 1: have this happening, like regardless of what the medications are doing,

501
00:31:57,800 --> 00:32:00,560
Speaker 1: Like this should be just such a large or issue

502
00:32:00,680 --> 00:32:03,520
Speaker 1: rather than being elector shut the funk up, man, he's

503
00:32:03,520 --> 00:32:07,520
Speaker 1: burning up on reentry. But like we can't say anything

504
00:32:07,560 --> 00:32:12,000
Speaker 1: because if he learns that, like it's it's just, it's

505
00:32:12,040 --> 00:32:14,640
Speaker 1: all bad. It's all bad. It's all bad. Like it

506
00:32:14,680 --> 00:32:17,360
Speaker 1: doesn't matter like when you when you're just when you're

507
00:32:17,360 --> 00:32:21,280
Speaker 1: playing secrets like a poker hand with somebody, the state

508
00:32:21,320 --> 00:32:25,320
Speaker 1: of their health because either like it does affect how

509
00:32:25,400 --> 00:32:28,880
Speaker 1: the countries run on some level. Uh, it's yeah, it's

510
00:32:28,920 --> 00:32:33,120
Speaker 1: He's just it's super spooky. October America is gonna ship

511
00:32:33,240 --> 00:32:36,480
Speaker 1: itself to death on the toilet like Elvis, because we're

512
00:32:36,520 --> 00:32:39,360
Speaker 1: gonna die from v I P syndrome of like doctors

513
00:32:39,400 --> 00:32:43,960
Speaker 1: not being able to tell famous big awesome person the

514
00:32:44,040 --> 00:32:48,560
Speaker 1: truth about their own health. So uh, with regards to

515
00:32:48,600 --> 00:32:53,360
Speaker 1: the consequences of his you know, state of mind, he

516
00:32:53,400 --> 00:32:56,480
Speaker 1: had some kind of He gave the world a little

517
00:32:56,480 --> 00:33:02,040
Speaker 1: bit of whiplash yesterday with his take on debt relief

518
00:33:02,120 --> 00:33:06,840
Speaker 1: and economic aid for people who are suffering through the

519
00:33:06,960 --> 00:33:11,880
Speaker 1: depression caused by his handling of the coronavirus. Yeah, and

520
00:33:11,920 --> 00:33:14,400
Speaker 1: even you have people saying, hey, you need to stimulate

521
00:33:14,440 --> 00:33:18,560
Speaker 1: the economy because you know, for all of so much

522
00:33:18,560 --> 00:33:21,760
Speaker 1: of it is dependent on consumer spending. I don't know

523
00:33:21,840 --> 00:33:23,720
Speaker 1: how you think this thing works. It's sort of built

524
00:33:23,760 --> 00:33:26,000
Speaker 1: this way and it shouldn't be a surprise that it's

525
00:33:26,040 --> 00:33:29,880
Speaker 1: all happening like this. And he's even from the beginning

526
00:33:29,960 --> 00:33:32,080
Speaker 1: he wanted to help. He didn't want to help thence

527
00:33:32,400 --> 00:33:35,200
Speaker 1: yesterday or on on Tuesday, just straight up just saying

528
00:33:35,960 --> 00:33:37,840
Speaker 1: to you know, Nancy Pelosi is asking for a two

529
00:33:37,840 --> 00:33:40,480
Speaker 1: point trillion dollars to bail out poorly run high crime

530
00:33:40,520 --> 00:33:43,120
Speaker 1: democrats States, money that is in no way related to

531
00:33:43,160 --> 00:33:46,040
Speaker 1: COVID nineteen. Goes on and on saying I am rejecting

532
00:33:46,080 --> 00:33:48,520
Speaker 1: their request and looking to the future of our country.

533
00:33:48,520 --> 00:33:52,240
Speaker 1: I've instructed my representatives to stop negotiating until after the election,

534
00:33:52,280 --> 00:33:55,600
Speaker 1: when immediately after I win, we will pass a major

535
00:33:55,640 --> 00:33:58,760
Speaker 1: stimulus bill that focuses on hard working Americans and small

536
00:33:58,760 --> 00:34:02,600
Speaker 1: business I have asked and just left this ellipsis And

537
00:34:02,640 --> 00:34:07,040
Speaker 1: then the stock market crashed four points because they're like, oh,

538
00:34:07,120 --> 00:34:09,920
Speaker 1: this motherfucker really does not know how any of this works.

539
00:34:10,280 --> 00:34:13,000
Speaker 1: Is that what happened. That's why he came back with

540
00:34:13,040 --> 00:34:15,680
Speaker 1: the with the follow up, you should have seen the

541
00:34:15,760 --> 00:34:20,399
Speaker 1: graph of the tweet, like and you know, obviously, uh

542
00:34:21,160 --> 00:34:23,640
Speaker 1: would would be cool to know anything to be in

543
00:34:23,680 --> 00:34:25,960
Speaker 1: the high stakes game of the stock market, but like

544
00:34:26,320 --> 00:34:29,239
Speaker 1: anyone could watch the timeline of when the tweet went

545
00:34:29,320 --> 00:34:33,640
Speaker 1: and it just go and say, oh, that's right. That's

546
00:34:33,680 --> 00:34:36,000
Speaker 1: how that works. Sometimes when the president says I AM

547
00:34:36,040 --> 00:34:39,720
Speaker 1: going to let this thing burn, that doesn't actually help,

548
00:34:40,080 --> 00:34:42,560
Speaker 1: so the doll crash, and then hours later he's like

549
00:34:43,160 --> 00:34:45,879
Speaker 1: the House and sent it should immediately approve twenty five

550
00:34:45,880 --> 00:34:48,600
Speaker 1: billion dollars for airline pay roll support and a d

551
00:34:49,120 --> 00:34:52,440
Speaker 1: billion dollars for paycheck protection for small business. I am

552
00:34:52,680 --> 00:34:56,400
Speaker 1: vide also said, uh, if I AM sent a standalone

553
00:34:56,440 --> 00:34:59,960
Speaker 1: bill for stimulus checks, they will go out for our

554
00:35:00,080 --> 00:35:03,399
Speaker 1: great people immediately. I am ready to sign right now.

555
00:35:03,520 --> 00:35:06,680
Speaker 1: Are you listening, Nancy, and then starts tagging adding all

556
00:35:06,719 --> 00:35:09,800
Speaker 1: these people like Chuck Schumer, Nancy Pelosi in his tweet,

557
00:35:10,440 --> 00:35:13,280
Speaker 1: so you know, everyone's like, bro, this is the only

558
00:35:13,560 --> 00:35:18,560
Speaker 1: thing that was only not like only eight percent fucked up,

559
00:35:18,560 --> 00:35:21,720
Speaker 1: like the economy like percent at least, but every other

560
00:35:21,760 --> 00:35:23,400
Speaker 1: thing he could try and hang his hand was like

561
00:35:23,480 --> 00:35:27,120
Speaker 1: one billion percent fucked. So to even go this route,

562
00:35:27,160 --> 00:35:32,120
Speaker 1: there was so confounding of saying like why at first

563
00:35:32,120 --> 00:35:33,520
Speaker 1: you were trying to play it like it was the

564
00:35:33,560 --> 00:35:35,719
Speaker 1: Democrats that were holding it up. But then you come

565
00:35:35,760 --> 00:35:37,879
Speaker 1: out right and saying no, man, I'm done with this ship.

566
00:35:38,520 --> 00:35:42,279
Speaker 1: And then you come back just a mirror. It's I

567
00:35:42,280 --> 00:35:43,839
Speaker 1: don't know, like I don't I feel like he would

568
00:35:43,880 --> 00:35:46,279
Speaker 1: even do this before the COVID too, Like it's just

569
00:35:46,320 --> 00:35:50,319
Speaker 1: a very you know, he's so shortsighted with ship. Yeah,

570
00:35:50,360 --> 00:35:53,160
Speaker 1: everybody was being like always being so crazy after the COVID.

571
00:35:53,200 --> 00:35:57,279
Speaker 1: It's like he was being so crazy the whole time, right,

572
00:35:57,719 --> 00:35:59,760
Speaker 1: It's never been a time when he was like stable

573
00:36:00,280 --> 00:36:04,759
Speaker 1: theme stable. He just did go from zero to like

574
00:36:04,880 --> 00:36:07,840
Speaker 1: zero tweets for a couple of days and being in

575
00:36:08,960 --> 00:36:15,400
Speaker 1: you know, like Kanye again right to just he's probably

576
00:36:16,400 --> 00:36:19,759
Speaker 1: you know, he will start like tweeting out pages of

577
00:36:19,800 --> 00:36:23,880
Speaker 1: like top secret documents like fucking Kanye and his record contract.

578
00:36:23,920 --> 00:36:26,480
Speaker 1: He's like, you want to see check this out. This

579
00:36:26,560 --> 00:36:28,319
Speaker 1: is from the c i A. This is the top ship.

580
00:36:28,400 --> 00:36:31,040
Speaker 1: You ain't gonna see the ship anywhere else. Okay, look

581
00:36:31,200 --> 00:36:34,840
Speaker 1: putin you see like it's I actually could see that

582
00:36:34,880 --> 00:36:38,120
Speaker 1: even happening as well. But you know, nothing is off

583
00:36:38,120 --> 00:36:41,160
Speaker 1: the table, as it seems, because whether it's like just

584
00:36:41,239 --> 00:36:44,440
Speaker 1: the rampant voter suppression or them saying like we're just

585
00:36:44,440 --> 00:36:47,360
Speaker 1: gonna pick our own electors to just just decide what

586
00:36:47,440 --> 00:36:53,240
Speaker 1: the election is, there's clearly just the desperation and the

587
00:36:53,360 --> 00:36:56,920
Speaker 1: willingness to just tear it all down is only becoming

588
00:36:56,960 --> 00:36:58,920
Speaker 1: more and more and more apparent. I think it's apparent

589
00:36:58,960 --> 00:37:02,080
Speaker 1: to many people years ago. But if like at this point,

590
00:37:02,080 --> 00:37:09,719
Speaker 1: you're not seeing it, like my god, yeah, god, oh god.

591
00:37:10,200 --> 00:37:14,480
Speaker 1: I do feel like it's reaching a new level of

592
00:37:14,520 --> 00:37:18,400
Speaker 1: like people like, for instance, Facebook finally banning Q and

593
00:37:18,520 --> 00:37:22,879
Speaker 1: on like for no real really, like you know, they

594
00:37:22,920 --> 00:37:27,040
Speaker 1: should have banned them fourteen months ago, you know, or

595
00:37:27,160 --> 00:37:31,080
Speaker 1: more like two years ago, but they just did it yesterday.

596
00:37:31,080 --> 00:37:34,520
Speaker 1: I'm wondering if that is them, Like there just seems

597
00:37:34,560 --> 00:37:40,040
Speaker 1: to be this like general uh you know, consensus that

598
00:37:40,200 --> 00:37:44,000
Speaker 1: things are moving in the direction of like the Democrats winning.

599
00:37:45,760 --> 00:37:49,880
Speaker 1: Come on, can't can't fall for that narrative again, I

600
00:37:49,920 --> 00:37:53,760
Speaker 1: know too many times it seems it seems like that's

601
00:37:53,840 --> 00:37:57,200
Speaker 1: the general consensus. But you know, as people have pointed out,

602
00:37:57,440 --> 00:38:00,560
Speaker 1: they like Hillary was winning a lot of these states

603
00:38:00,640 --> 00:38:06,000
Speaker 1: by more than Biden's winning them at this point. And also,

604
00:38:06,680 --> 00:38:10,440
Speaker 1: as I keep saying, we've never had a presidential election

605
00:38:10,520 --> 00:38:16,200
Speaker 1: where the incumbent was openly willing to cheat and do

606
00:38:16,360 --> 00:38:19,839
Speaker 1: voter suppression, Like on the what about what about nick Son?

607
00:38:20,600 --> 00:38:23,200
Speaker 1: He wasn't willing to openly cheat, he was trying to

608
00:38:23,239 --> 00:38:27,480
Speaker 1: cover it up. This is somebody who got impeached for

609
00:38:27,760 --> 00:38:32,200
Speaker 1: openly who got caught cheating, and they were like, oh, yeah,

610
00:38:32,239 --> 00:38:35,319
Speaker 1: I guess you're impeached. Who gives a ship? Um, So

611
00:38:35,400 --> 00:38:38,719
Speaker 1: it's just a new level where like they they can

612
00:38:38,760 --> 00:38:41,319
Speaker 1: be masked off and just trying to cheat. Wait, what

613
00:38:41,400 --> 00:38:49,560
Speaker 1: about Bush? Which which Bush w with the first election? Yeah,

614
00:38:50,480 --> 00:38:55,040
Speaker 1: stop stop counting. Yeah, he wasn't incumbent, Molly, come on,

615
00:38:56,360 --> 00:39:00,080
Speaker 1: but trying to lambertomize me. Here, you've been lambert it

616
00:39:00,239 --> 00:39:06,319
Speaker 1: bron the embtomized. But I just I think we're in

617
00:39:06,520 --> 00:39:11,600
Speaker 1: more danger than if people are thinking. If Facebook is thinking, wow,

618
00:39:12,160 --> 00:39:14,480
Speaker 1: you know, it seems like Biden's gonna gonna win now,

619
00:39:14,520 --> 00:39:21,080
Speaker 1: so we better start appeasing people and banning que and on, like, uh,

620
00:39:21,200 --> 00:39:24,239
Speaker 1: we we have we're not out of the woods. They're

621
00:39:24,239 --> 00:39:28,040
Speaker 1: afraid they're going to get broken up, right, Yeah, which

622
00:39:28,560 --> 00:39:32,000
Speaker 1: should absolutely they should be everybody. You should be able

623
00:39:32,040 --> 00:39:34,359
Speaker 1: to stop by and just with a pick axe take

624
00:39:34,400 --> 00:39:36,840
Speaker 1: a little bit of the headquarters home with you. Yeah,

625
00:39:37,120 --> 00:39:41,160
Speaker 1: like like the wall, to bring the wall down. Let's

626
00:39:41,160 --> 00:39:44,640
Speaker 1: go pick axes, be like, yo, man, I got some

627
00:39:44,680 --> 00:39:46,560
Speaker 1: of the I've got some Twitter servers in my garage.

628
00:39:48,800 --> 00:39:52,000
Speaker 1: That's a great idea. Let's talk Martha McSally really quick,

629
00:39:52,000 --> 00:39:57,920
Speaker 1: because it's an interesting look into how normally ride or

630
00:39:57,960 --> 00:40:02,800
Speaker 1: die Trump supporters are dealing with the lack of popularity

631
00:40:02,880 --> 00:40:06,680
Speaker 1: he's seen right now. Yeah, I mean, to be a

632
00:40:06,800 --> 00:40:12,040
Speaker 1: GOP senator or congress person in any kind of contested district,

633
00:40:12,320 --> 00:40:18,120
Speaker 1: you're trying to appeal to trumpers and like non homicidal

634
00:40:18,719 --> 00:40:22,480
Speaker 1: undecided voters you are going to It's just it's just

635
00:40:22,520 --> 00:40:25,360
Speaker 1: the hardest act to do because you have to, like,

636
00:40:25,480 --> 00:40:29,120
Speaker 1: on one hand, not openly say you dislike the president

637
00:40:29,200 --> 00:40:31,920
Speaker 1: or disagree, but also have to kind of be like,

638
00:40:32,000 --> 00:40:36,279
Speaker 1: I'm proud. So in her debate, you know she is

639
00:40:36,360 --> 00:40:39,239
Speaker 1: running a technically in a special election. So Mark Kelly,

640
00:40:39,320 --> 00:40:43,600
Speaker 1: who looks like very quite possibly will be defeating her. Uh,

641
00:40:43,640 --> 00:40:46,880
Speaker 1: he could actually be seated. Um. Before January, they had

642
00:40:46,880 --> 00:40:50,160
Speaker 1: a debate. He's much popular than her. She's been just

643
00:40:50,560 --> 00:40:53,520
Speaker 1: doing almost everything she can to like tank her numbers.

644
00:40:53,560 --> 00:40:57,160
Speaker 1: It's really it's quite amazing. And in their debate, the

645
00:40:57,200 --> 00:41:01,400
Speaker 1: moderator asked very clearly, basically saying like, Hey, Martha McK sally,

646
00:41:01,600 --> 00:41:05,800
Speaker 1: are you proud of your support for President Trump? Okay,

647
00:41:05,800 --> 00:41:07,520
Speaker 1: because you come out here all the time being like

648
00:41:08,040 --> 00:41:11,120
Speaker 1: we're looking at the receipts, you say you're you're proud

649
00:41:11,120 --> 00:41:14,480
Speaker 1: to support this president. Okay, Now with everything here right

650
00:41:14,520 --> 00:41:17,000
Speaker 1: now at this point, how do you answer this question? Now?

651
00:41:17,239 --> 00:41:20,080
Speaker 1: The senator to the question was, are you proud of

652
00:41:20,200 --> 00:41:23,600
Speaker 1: your support for President Trump? I'm proud to be fighting

653
00:41:23,640 --> 00:41:28,479
Speaker 1: for Arizona every single day, legislation on President Trump's tests,

654
00:41:28,560 --> 00:41:30,400
Speaker 1: So you're proud of your support. You look at the

655
00:41:30,480 --> 00:41:33,520
Speaker 1: legislation we put on his desk is to cut Arizona tacks.

656
00:41:33,520 --> 00:41:36,600
Speaker 1: It sounds like she is proud of her support. So

657
00:41:36,640 --> 00:41:38,799
Speaker 1: a couple of takes about this cliff. First of all,

658
00:41:38,880 --> 00:41:42,279
Speaker 1: it's taking place in the early nineties based on the

659
00:41:42,360 --> 00:41:45,560
Speaker 1: video quality, but that's not something people can see. But

660
00:41:45,600 --> 00:41:49,160
Speaker 1: it's very strange that it's taken place in the early nineties,

661
00:41:49,880 --> 00:41:53,960
Speaker 1: but that is I mean, it's yet another political clip

662
00:41:54,000 --> 00:41:58,839
Speaker 1: that is just veep quality. Uh just bad. We're like,

663
00:41:59,239 --> 00:42:02,480
Speaker 1: you cut in and she's like talking about taxes, and

664
00:42:02,480 --> 00:42:05,959
Speaker 1: then he's like, the question, ma'am was are you proud

665
00:42:06,000 --> 00:42:10,760
Speaker 1: of your support for Donald Trump? Uh? Oh, yeah, I'm proud,

666
00:42:11,520 --> 00:42:15,279
Speaker 1: proud to be an American? Uh no, that was not

667
00:42:15,360 --> 00:42:17,279
Speaker 1: the question. Are you proud I'm proud to fight for

668
00:42:17,320 --> 00:42:19,680
Speaker 1: Arizona every day? Are you proud to President Trump? But

669
00:42:19,800 --> 00:42:23,319
Speaker 1: about putting proud to put legislation on President Trump? It's

670
00:42:23,560 --> 00:42:26,520
Speaker 1: uh wow. It's like, I don't know how you feel,

671
00:42:26,560 --> 00:42:28,319
Speaker 1: like even when you're in the midst of it, like

672
00:42:28,520 --> 00:42:31,200
Speaker 1: when they finally like the moderator relents like okay, well

673
00:42:31,239 --> 00:42:33,280
Speaker 1: it sounds like you're proud then because you can't even answer,

674
00:42:33,840 --> 00:42:36,920
Speaker 1: uh like that in her mind, she goes, you fucking

675
00:42:37,040 --> 00:42:40,560
Speaker 1: killed him, Martha. You never missed baby. They can't nail

676
00:42:40,560 --> 00:42:42,879
Speaker 1: you down. They got you too slick with it, like

677
00:42:43,000 --> 00:42:46,359
Speaker 1: it's it was the worst ship I've ever whatever. It's

678
00:42:47,440 --> 00:42:51,440
Speaker 1: so she is trailing in polls right like it's not

679
00:42:51,520 --> 00:42:55,040
Speaker 1: looking good. No, it isn't and then she like even

680
00:42:55,040 --> 00:42:56,799
Speaker 1: in the other debate, she was trying to say that

681
00:42:56,840 --> 00:43:01,880
Speaker 1: like Mark Kelly was attached to this like extreme group,

682
00:43:02,040 --> 00:43:06,520
Speaker 1: like like far left extremism, but it's really like, you know,

683
00:43:06,600 --> 00:43:09,200
Speaker 1: his wife is Gabby Gifford's who is a congress person

684
00:43:09,239 --> 00:43:13,440
Speaker 1: who is shot uh and in the head. Uh and

685
00:43:13,800 --> 00:43:16,920
Speaker 1: she was like attacked at an event and this is

686
00:43:17,239 --> 00:43:20,440
Speaker 1: it's a fucking gun control group that she started. And

687
00:43:20,480 --> 00:43:23,560
Speaker 1: Martha McSally is like saying that when everyone in Arizona

688
00:43:23,600 --> 00:43:26,319
Speaker 1: knows Gabby Giffords, like, it's not that it's like some

689
00:43:26,400 --> 00:43:29,279
Speaker 1: obscure thing like so on top of it, it's like

690
00:43:29,360 --> 00:43:35,800
Speaker 1: well known. So it just continued her just bad Basket's wife,

691
00:43:35,800 --> 00:43:46,080
Speaker 1: Bernice Sanders, is starting Um, Bernice Anders. Uh, yeah, that's

692
00:43:46,200 --> 00:43:50,520
Speaker 1: that's pretty wild. Um it's I I've seen it just

693
00:43:51,239 --> 00:43:56,400
Speaker 1: like an ambient political ads around California, like there's a

694
00:43:56,400 --> 00:44:02,520
Speaker 1: a representative in I think it's like the Orange County area.

695
00:44:03,040 --> 00:44:07,480
Speaker 1: But uh, she's like be the attack ads against her

696
00:44:07,840 --> 00:44:11,239
Speaker 1: are showing her like with Donald Trump, but it's like

697
00:44:11,360 --> 00:44:15,200
Speaker 1: she funneled money to Trump and uh it's you know,

698
00:44:16,000 --> 00:44:20,560
Speaker 1: his unpopularity is being used against the the entire party,

699
00:44:20,760 --> 00:44:22,880
Speaker 1: which I don't know. I don't know if I can

700
00:44:22,920 --> 00:44:27,279
Speaker 1: feel confident in that being the prognosis, but that that

701
00:44:27,680 --> 00:44:30,839
Speaker 1: should have been what has been happening all along. Yeah,

702
00:44:30,880 --> 00:44:32,840
Speaker 1: I mean, I don't know if it's same because obviously

703
00:44:32,880 --> 00:44:35,960
Speaker 1: none of these people are jumping ship on a moral tip.

704
00:44:36,760 --> 00:44:40,040
Speaker 1: They just don't want to be stuck on the losing team,

705
00:44:40,560 --> 00:44:43,200
Speaker 1: right right, right? Do you think, like who's going to

706
00:44:43,280 --> 00:44:46,000
Speaker 1: be the first one to really take the l publicly

707
00:44:46,320 --> 00:44:48,440
Speaker 1: and really do it, like try and do it the

708
00:44:48,560 --> 00:44:53,000
Speaker 1: right way? Where they're like, you know, I fucked up, y'all,

709
00:44:53,040 --> 00:44:55,759
Speaker 1: I should not have been saying all this ship. I

710
00:44:56,920 --> 00:45:00,080
Speaker 1: it was a mistake. He was a terrible leader, and

711
00:45:00,120 --> 00:45:05,200
Speaker 1: I really picked party over the country. Everybody. Sorry, but

712
00:45:05,280 --> 00:45:09,400
Speaker 1: I'm still racist, but I'm just not a trumper anymore. Right,

713
00:45:09,760 --> 00:45:12,120
Speaker 1: That's what they've been like already though too. They'll never

714
00:45:12,200 --> 00:45:15,040
Speaker 1: trumper people who are like, hey, I'm still a racist

715
00:45:15,080 --> 00:45:20,480
Speaker 1: who's against abortion, but I hate the TACKI decor. Those

716
00:45:20,520 --> 00:45:23,399
Speaker 1: are the opportunistic like lurkers who got out early, who

717
00:45:23,400 --> 00:45:25,200
Speaker 1: are like, oh no, this this this is like they

718
00:45:25,200 --> 00:45:27,520
Speaker 1: were smart enough to know what it was gonna do, Like, oh,

719
00:45:27,600 --> 00:45:29,160
Speaker 1: it's gonna be hard to keep a job if you

720
00:45:29,200 --> 00:45:30,719
Speaker 1: just did on this one too long. So let me

721
00:45:31,040 --> 00:45:33,239
Speaker 1: let me be opportunistic now. But I'm curious, like, do

722
00:45:33,320 --> 00:45:35,160
Speaker 1: you see like Matt Gates, you know what I mean,

723
00:45:35,200 --> 00:45:37,839
Speaker 1: like someone like that, like seeing the right That would

724
00:45:37,880 --> 00:45:40,040
Speaker 1: be so amazing to see it. But then even be like, dude,

725
00:45:40,080 --> 00:45:42,200
Speaker 1: shut up, well we are we saw right through this.

726
00:45:42,280 --> 00:45:45,560
Speaker 1: Come on, now, don't do all that. I think some

727
00:45:45,640 --> 00:45:49,160
Speaker 1: of them, aham, probably since he's already been that like

728
00:45:49,440 --> 00:45:52,040
Speaker 1: at various points. Yeah, and then I think some of

729
00:45:52,080 --> 00:45:56,040
Speaker 1: them will like hang around for when they you know,

730
00:45:56,560 --> 00:45:59,680
Speaker 1: clean up his reputation after he's not president anymore and

731
00:45:59,719 --> 00:46:04,800
Speaker 1: give the old w give him the old Remember how

732
00:46:04,840 --> 00:46:09,600
Speaker 1: silly this man was. He's so silly he killed a

733
00:46:09,600 --> 00:46:13,560
Speaker 1: ton of people, right, I gotta admit he was entertaining.

734
00:46:13,719 --> 00:46:17,360
Speaker 1: That'll be like a take that gonna be what happens.

735
00:46:17,400 --> 00:46:19,919
Speaker 1: They're gonna be like, well, now we can talk about

736
00:46:19,960 --> 00:46:22,640
Speaker 1: how funny he was now that it's not scary anymore.

737
00:46:22,880 --> 00:46:25,879
Speaker 1: Let's think of the laughs though, you know, let's think

738
00:46:25,880 --> 00:46:29,319
Speaker 1: of all the horrific things we laughed through. All right,

739
00:46:29,400 --> 00:46:31,239
Speaker 1: Let's take a quick break and we'll come back and

740
00:46:31,280 --> 00:46:45,600
Speaker 1: talk about Q and on and we're back. And I

741
00:46:45,640 --> 00:46:47,360
Speaker 1: did want to just check in with Q and on

742
00:46:47,520 --> 00:46:52,200
Speaker 1: see how they're dealing with the news of Trump's illness,

743
00:46:52,680 --> 00:46:55,880
Speaker 1: and the way they're dealing with it is the way

744
00:46:55,920 --> 00:46:58,959
Speaker 1: they deal with everything, which is just using it as

745
00:46:59,120 --> 00:47:04,080
Speaker 1: more comfort, ormation, bias, more confirmation of their original theory.

746
00:47:04,160 --> 00:47:09,040
Speaker 1: So they actually celebrated Trump's illness because of course it's

747
00:47:09,080 --> 00:47:12,640
Speaker 1: not true. When he was first airlifted to the hospital,

748
00:47:13,239 --> 00:47:16,719
Speaker 1: they saw that as evidence of the coming storm where

749
00:47:16,719 --> 00:47:19,880
Speaker 1: Trump like separates himself from the people who work in

750
00:47:19,920 --> 00:47:22,320
Speaker 1: his White House so they can all be like arrested,

751
00:47:22,480 --> 00:47:27,640
Speaker 1: rounded up, execute. So that was you know, they only

752
00:47:27,840 --> 00:47:31,040
Speaker 1: they met a actim to the hospital because she's about

753
00:47:31,040 --> 00:47:34,120
Speaker 1: to go down and he has to be protected there. Yeah,

754
00:47:34,239 --> 00:47:38,280
Speaker 1: that's right. Oh, that's that's flexibility. It's all just mans

755
00:47:38,360 --> 00:47:43,480
Speaker 1: arrests of deep state enemies. Some of the evidence for

756
00:47:43,560 --> 00:47:47,840
Speaker 1: this included a September Q post featuring a Mickey Mouse

757
00:47:47,840 --> 00:47:50,080
Speaker 1: clock with a little hand on ten and the big

758
00:47:50,120 --> 00:47:53,960
Speaker 1: hand on two, which tend to was the date that

759
00:47:54,000 --> 00:47:58,879
Speaker 1: Trump revealed that he uh he had test positive for COVID. Uh,

760
00:47:58,960 --> 00:48:01,880
Speaker 1: So he was letting no, this is when things are

761
00:48:01,880 --> 00:48:08,080
Speaker 1: going to start to unfold um and yeah, also, I

762
00:48:08,120 --> 00:48:12,160
Speaker 1: mean this is the dead giveaway. Of course, he announced

763
00:48:12,200 --> 00:48:16,680
Speaker 1: that we will get through this together, which Q and

764
00:48:16,719 --> 00:48:21,000
Speaker 1: Honors obviously noticed can be broken up into the words

765
00:48:21,120 --> 00:48:27,960
Speaker 1: to get her meaning of course Hillary Clinton, So duh.

766
00:48:29,360 --> 00:48:32,680
Speaker 1: Once you once they explain it, it just feels like

767
00:48:32,719 --> 00:48:36,120
Speaker 1: I feel so dumb for not having seen it. It

768
00:48:36,239 --> 00:48:41,800
Speaker 1: just makes so much sense. And he couldn't obviously really

769
00:48:41,840 --> 00:48:45,680
Speaker 1: be sick because as everybody in QUNN knows, he had

770
00:48:45,719 --> 00:48:49,879
Speaker 1: already found the cure for COVID, which is hydroxychloroquinn, so

771
00:48:50,080 --> 00:48:54,560
Speaker 1: his illness must have been a smoke screen. And they

772
00:48:54,719 --> 00:48:58,400
Speaker 1: also think that he never went to Walter Read and

773
00:48:58,520 --> 00:49:02,040
Speaker 1: used a body double at work clone, which some people

774
00:49:02,080 --> 00:49:05,000
Speaker 1: think is actually his dead brother Robert. This is like

775
00:49:05,040 --> 00:49:10,680
Speaker 1: soap opera logic. Yeah, but it's that it is basically

776
00:49:11,040 --> 00:49:15,200
Speaker 1: like people who aren't great writers working together in a

777
00:49:15,239 --> 00:49:19,240
Speaker 1: writer's room coming up with uh, you know, plot turns

778
00:49:19,280 --> 00:49:23,600
Speaker 1: and twists to wrap around whatever is needed to keep

779
00:49:23,640 --> 00:49:29,000
Speaker 1: the story going. So especially they got the West World

780
00:49:29,080 --> 00:49:32,879
Speaker 1: people working on it, right, I didn't see season three

781
00:49:32,920 --> 00:49:35,840
Speaker 1: with season three pretty bad. Yeah, it's pretty bad, But

782
00:49:35,840 --> 00:49:38,880
Speaker 1: I've been talking about there's a sequel to the movie

783
00:49:38,920 --> 00:49:42,759
Speaker 1: West World called Future World that I really like. I

784
00:49:42,800 --> 00:49:45,040
Speaker 1: think it's like Peter Fonda stars in it. It's like

785
00:49:45,480 --> 00:49:49,200
Speaker 1: early seventies, but in future World, the plot is that

786
00:49:49,280 --> 00:49:53,080
Speaker 1: they replace all of the politicians on Earth with animatronic doubles.

787
00:49:53,800 --> 00:49:57,480
Speaker 1: Uh huh yeah, you know clearly we're in a future

788
00:49:57,480 --> 00:50:04,160
Speaker 1: world scenario. This is so weird to me, Like there again,

789
00:50:04,200 --> 00:50:06,279
Speaker 1: and you know, I get it. It's like the whole

790
00:50:06,360 --> 00:50:08,400
Speaker 1: qu and on things like if you just fed a

791
00:50:08,440 --> 00:50:11,400
Speaker 1: bunch of like conspiracies and bad writing to like a

792
00:50:11,440 --> 00:50:13,680
Speaker 1: machine learning thing and you're like, write a script about

793
00:50:13,719 --> 00:50:16,239
Speaker 1: this year, that's where you come up with, right, Like

794
00:50:16,320 --> 00:50:18,960
Speaker 1: it's a clone and his dead brother that is what

795
00:50:19,160 --> 00:50:23,040
Speaker 1: reanimated to move around to look like him. How is no,

796
00:50:23,200 --> 00:50:27,000
Speaker 1: he never died, Miles obviously he was. That his death

797
00:50:27,120 --> 00:50:32,799
Speaker 1: was fabricated to shield some sort of undercover Now it

798
00:50:32,840 --> 00:50:35,680
Speaker 1: all makes sense because at the time they were like, well,

799
00:50:35,719 --> 00:50:39,440
Speaker 1: why would his brother be dead. He's obviously invincible, and

800
00:50:39,920 --> 00:50:42,279
Speaker 1: they're being very secretive about his death. It can't be

801
00:50:42,280 --> 00:50:47,080
Speaker 1: because his death was indirectly caused by Trump. Uh fucking

802
00:50:47,160 --> 00:50:52,239
Speaker 1: up COVID nineteen response. Uh, it must be because uh,

803
00:50:52,280 --> 00:50:55,040
Speaker 1: there's some some way that it ties in with the

804
00:50:55,120 --> 00:50:59,760
Speaker 1: coming storm. Okay, and what about the clones? If there's clones,

805
00:51:00,000 --> 00:51:05,040
Speaker 1: then conceivably there's like like really good oregan transplant technology

806
00:51:05,080 --> 00:51:07,800
Speaker 1: as well, because if we're whole scale cloning human beings,

807
00:51:07,800 --> 00:51:10,279
Speaker 1: then we all we must we might also have these

808
00:51:10,280 --> 00:51:12,600
Speaker 1: other things that could like does that fit into the

809
00:51:12,640 --> 00:51:15,719
Speaker 1: lower two the scientific lore of Q and Hunt. I mean,

810
00:51:16,000 --> 00:51:19,959
Speaker 1: the clones are more used to own the libs, which

811
00:51:20,040 --> 00:51:23,600
Speaker 1: is the top priority of UH, which is the top

812
00:51:23,600 --> 00:51:26,520
Speaker 1: priority of any government, would be that that would be

813
00:51:26,520 --> 00:51:30,080
Speaker 1: the outcome. Yeah. And so people have obviously pointed out

814
00:51:30,120 --> 00:51:35,360
Speaker 1: that Trump's isolation didn't in turn lead to the Q

815
00:51:35,560 --> 00:51:37,920
Speaker 1: and On storm where he arrests, where there's just like

816
00:51:37,920 --> 00:51:41,759
Speaker 1: a blood letting and Obama and Hillary Clinton and all

817
00:51:41,800 --> 00:51:47,000
Speaker 1: the deep staters inside the White House are arrested. Um.

818
00:51:47,080 --> 00:51:52,080
Speaker 1: But they just kind of awkwardly shoehorn his predictions, the

819
00:51:52,160 --> 00:51:57,239
Speaker 1: past predictions into future events. Um. So it's not that

820
00:51:57,320 --> 00:52:04,080
Speaker 1: he's just refusing to um. Yeah. And so he's refusing

821
00:52:04,120 --> 00:52:06,600
Speaker 1: to denounce the people who think he's pulling a Dave

822
00:52:06,960 --> 00:52:10,799
Speaker 1: with his deceased sibling. He's actively courting their support. The

823
00:52:10,800 --> 00:52:14,040
Speaker 1: Trump campaign just released a new online ad in late

824
00:52:14,080 --> 00:52:20,960
Speaker 1: September claiming that Biden wants to quote cancel conspiracy theorists um,

825
00:52:21,000 --> 00:52:25,080
Speaker 1: and then connians and then jobs and then music. So

826
00:52:25,920 --> 00:52:29,640
Speaker 1: I think, you know, so it just gives you stuff

827
00:52:29,680 --> 00:52:32,200
Speaker 1: to think about, gives you stuff to think about. Do

828
00:52:32,239 --> 00:52:35,560
Speaker 1: you think they self identify as conspiracy theorists or they're like,

829
00:52:35,600 --> 00:52:38,279
Speaker 1: we're paying you know what I mean? You know what

830
00:52:38,320 --> 00:52:40,839
Speaker 1: I mean. That's why it's like it would be so

831
00:52:40,880 --> 00:52:43,920
Speaker 1: funny anything like they're trying to cancel you the conspiracy theorists,

832
00:52:43,960 --> 00:52:48,840
Speaker 1: and they're like, hey, we're not conspiracy. It's it's true. Whatever.

833
00:52:49,360 --> 00:52:52,600
Speaker 1: They don't like your bad ideas. It's just the the

834
00:52:52,600 --> 00:52:57,359
Speaker 1: the persuasive logic of that is interesting. Yeah, all right,

835
00:52:57,440 --> 00:53:02,240
Speaker 1: let's do a little bit of brain bleach um about

836
00:53:02,360 --> 00:53:08,520
Speaker 1: Nathan Apodaca a K Dog Phase four. I think this

837
00:53:08,600 --> 00:53:11,640
Speaker 1: is the man on the long board with the ocean

838
00:53:11,719 --> 00:53:16,680
Speaker 1: spray vibes listening to Dreams by Fleetwood mac Uh. Again,

839
00:53:16,719 --> 00:53:20,200
Speaker 1: we said it's the the vibe of it was the

840
00:53:20,280 --> 00:53:25,520
Speaker 1: whole vibe. Everyone needed it. And they talked about how

841
00:53:25,520 --> 00:53:27,480
Speaker 1: he was like struggling that he was on his longboard

842
00:53:27,480 --> 00:53:29,080
Speaker 1: because he needed to get his new car. He was,

843
00:53:29,200 --> 00:53:31,920
Speaker 1: you know, struggling with like where he was living, and

844
00:53:32,320 --> 00:53:34,680
Speaker 1: I think everybody was like, yo, Ocean Spray needs to

845
00:53:34,719 --> 00:53:37,840
Speaker 1: fucking do something here. And they did the bare minimum,

846
00:53:37,840 --> 00:53:39,880
Speaker 1: which is like, here's a car and juice and a

847
00:53:39,880 --> 00:53:42,399
Speaker 1: new long board and then we'll take photos and then

848
00:53:42,480 --> 00:53:44,919
Speaker 1: we look good and it only cost us about, let's

849
00:53:44,960 --> 00:53:49,480
Speaker 1: be real, for probably two million dollars worth of organic

850
00:53:49,520 --> 00:53:52,919
Speaker 1: advertising or whatever that should ended up being. But uh,

851
00:53:53,000 --> 00:53:55,080
Speaker 1: yeah it was. You know, it was nice to see

852
00:53:55,120 --> 00:53:57,840
Speaker 1: him very like stoked because he has like a branded

853
00:53:58,200 --> 00:54:04,920
Speaker 1: board and that's just a shiploaded Jeers Cranberry juice. Did

854
00:54:04,960 --> 00:54:07,600
Speaker 1: anybody end up getting Cranberry juice after that? I was

855
00:54:07,640 --> 00:54:11,640
Speaker 1: already drinking. No. I was like glad to see a

856
00:54:11,719 --> 00:54:16,440
Speaker 1: fellow traveler in the Cranberry juice. I also was like,

857
00:54:16,520 --> 00:54:18,080
Speaker 1: as soon as I saw that video, I was like,

858
00:54:18,120 --> 00:54:21,560
Speaker 1: this is in California. I thought it was too so

859
00:54:21,560 --> 00:54:26,560
Speaker 1: I was surprised when it wasn't mean too Yeah, just wait,

860
00:54:26,680 --> 00:54:29,240
Speaker 1: you are on the Grand Train already, Like just straight

861
00:54:29,320 --> 00:54:31,040
Speaker 1: up is it a cocktails and mix it a cran

862
00:54:31,120 --> 00:54:35,920
Speaker 1: grape cran drink? That that Cranberry cocktail? Yeah, sh it,

863
00:54:36,000 --> 00:54:40,640
Speaker 1: Okay you go straight from the container. No, I put

864
00:54:40,640 --> 00:54:42,600
Speaker 1: it in a cup, but I should. I would go

865
00:54:42,680 --> 00:54:48,520
Speaker 1: straight from the container, drinking straight from the container. Yeah,

866
00:54:48,520 --> 00:54:52,719
Speaker 1: I don't know the styrofoam double cup. Yeah exactly. Cranberry

867
00:54:52,760 --> 00:54:57,360
Speaker 1: juice is good, yeah, possibly underrated. Maybe I'll change my

868
00:54:57,440 --> 00:55:03,640
Speaker 1: answer with that. Ladies gotta drink it sometimes. Yeah, I

869
00:55:03,680 --> 00:55:07,440
Speaker 1: mean anybody with the U T I all right, well, Molly,

870
00:55:07,680 --> 00:55:11,640
Speaker 1: it has been a pleasure having you as always. Where

871
00:55:11,640 --> 00:55:14,920
Speaker 1: can people find you? Follow you here? You thanks for

872
00:55:14,960 --> 00:55:17,000
Speaker 1: having me. Guys. You can find me at the Night

873
00:55:17,040 --> 00:55:21,600
Speaker 1: Call podcast on I Heart Radio along with the site gang.

874
00:55:22,040 --> 00:55:26,759
Speaker 1: You can find me on Molly Lambert on Twitter, and

875
00:55:27,280 --> 00:55:32,879
Speaker 1: you can find me trying to hang out outside, hopefully

876
00:55:33,320 --> 00:55:38,120
Speaker 1: palming a cranberry juice. Maybe I'll learned a longboard. There's

877
00:55:38,160 --> 00:55:40,279
Speaker 1: their I G stories are like the few that bring

878
00:55:40,360 --> 00:55:44,520
Speaker 1: me no anxiety. I'm like, like Molly outside, I'm like, oh,

879
00:55:44,520 --> 00:55:47,320
Speaker 1: she's somewhere in the city, Okay. I like that. I

880
00:55:47,360 --> 00:55:49,120
Speaker 1: like to think you're out there just kind of vibing

881
00:55:49,160 --> 00:55:50,960
Speaker 1: with the city all the time. I kind of am

882
00:55:51,040 --> 00:55:54,120
Speaker 1: like the cranberry juice longboard guy. I just like driving

883
00:55:54,160 --> 00:55:57,920
Speaker 1: around to kind of vibe sometimes I'm listening to Fleetwood

884
00:55:57,960 --> 00:56:01,360
Speaker 1: Mac mhm love it. Uh. And is there a tweeter

885
00:56:01,520 --> 00:56:06,200
Speaker 1: some other work of social media you've been enjoying? Um,

886
00:56:06,239 --> 00:56:11,800
Speaker 1: I've been enjoying the fake Disneyland Twitter. Yeah, that's like, um,

887
00:56:12,120 --> 00:56:14,920
Speaker 1: the Pirates of the Caribbean or dead stuff like that.

888
00:56:16,640 --> 00:56:18,600
Speaker 1: I think is it the same people who do the

889
00:56:18,760 --> 00:56:22,839
Speaker 1: Jurassic Park one? I don't know. I enjoy a lot

890
00:56:22,880 --> 00:56:25,400
Speaker 1: of parody twitters. I also really enjoyed the L A p.

891
00:56:25,520 --> 00:56:31,240
Speaker 1: D parody Twitter before. I think it gotta got got miles.

892
00:56:31,239 --> 00:56:33,600
Speaker 1: Where can people find you? What's tweet you've been enjoying?

893
00:56:34,840 --> 00:56:38,960
Speaker 1: You can find me on Twitter and Instagram at Miles

894
00:56:38,960 --> 00:56:41,640
Speaker 1: of Gray on occasion, and also the other podcast for

895
00:56:41,680 --> 00:56:45,600
Speaker 1: twenty Day Fiance. You know someone any Day Fiance getting

896
00:56:45,640 --> 00:56:49,360
Speaker 1: gett into goods on that show. Uh, let's see. Is

897
00:56:49,360 --> 00:56:54,680
Speaker 1: there a tweet I like? Have I been on there? Um? Yes,

898
00:56:55,160 --> 00:56:57,800
Speaker 1: I'll just go to Reductress and see what they're tweeting

899
00:56:57,800 --> 00:56:59,600
Speaker 1: about over there, because I like this one straight off

900
00:56:59,640 --> 00:57:03,400
Speaker 1: the rip. I see at Reductress existential crisis now factored

901
00:57:03,440 --> 00:57:10,439
Speaker 1: into morning routine. Uh, in some way that's so true.

902
00:57:10,440 --> 00:57:12,040
Speaker 1: Whether I'm like trying to feel it's like, no, I

903
00:57:12,040 --> 00:57:14,960
Speaker 1: will meditate, but I do that to pass through the

904
00:57:15,000 --> 00:57:18,360
Speaker 1: thoughts of the day. Some tweets I've been enjoying. Uh.

905
00:57:18,560 --> 00:57:23,200
Speaker 1: Scarecrow tweeted Muppets front facing eyes er there for Predators,

906
00:57:23,880 --> 00:57:28,280
Speaker 1: and Eli Jazz and my Pants tweeted the song you

907
00:57:28,400 --> 00:57:31,479
Speaker 1: Had a Bad Day was so ahead of its time. Um.

908
00:57:32,440 --> 00:57:35,800
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien.

909
00:57:35,800 --> 00:57:38,240
Speaker 1: You can find us on Twitter at Daily Zeitgeist. Were

910
00:57:38,240 --> 00:57:41,720
Speaker 1: at the Daily Zeitgeist on Instagram. We have a Facebook

911
00:57:41,760 --> 00:57:44,439
Speaker 1: fan page on a website, Daily Zeitgeist dot com, where

912
00:57:44,440 --> 00:57:47,880
Speaker 1: we post our episodes and our foot notes or we

913
00:57:47,960 --> 00:57:49,720
Speaker 1: link off to the information that we talked about in

914
00:57:49,720 --> 00:57:53,040
Speaker 1: today's episode, as well as the song we ride out

915
00:57:53,040 --> 00:57:55,800
Speaker 1: on mild What are we read? This is a track

916
00:57:55,920 --> 00:57:59,240
Speaker 1: by Collard like ce L L A r D. And

917
00:57:59,320 --> 00:58:02,440
Speaker 1: the track is called Greyhound, and it's just got that

918
00:58:02,480 --> 00:58:06,959
Speaker 1: like future funky vibe I like with like nice falsetto singing.

919
00:58:07,000 --> 00:58:09,280
Speaker 1: It's kind of you, like Steve Lacey. You'll probably dig

920
00:58:09,320 --> 00:58:12,440
Speaker 1: this track because it's it's just upbeat and that's what

921
00:58:12,520 --> 00:58:15,080
Speaker 1: you need. So you know, if you got your longboard

922
00:58:15,200 --> 00:58:18,400
Speaker 1: or your Uni wheel or your bird, scooter or whatever.

923
00:58:18,520 --> 00:58:21,080
Speaker 1: Go grab you some fruit juice cocktail and vibe out

924
00:58:21,080 --> 00:58:24,720
Speaker 1: to this one. Alright, we're gonna ride out on that.

925
00:58:24,880 --> 00:58:27,160
Speaker 1: The Daily Zey guys, the production of I Heart Radio.

926
00:58:27,280 --> 00:58:29,760
Speaker 1: For more podcast from my Heart Radio, visit the I

927
00:58:29,880 --> 00:58:32,920
Speaker 1: Heart Radio app, Apple podcast, or wherever you listen to

928
00:58:32,960 --> 00:58:36,240
Speaker 1: your favorite shows. That is gonna do it for this morning.

929
00:58:36,600 --> 00:58:39,160
Speaker 1: We'll be back this afternoon to tell you what is

930
00:58:39,200 --> 00:59:06,600
Speaker 1: trending and we'll talk to you all. Do care a

931
00:59:06,840 --> 00:59:10,760
Speaker 1: fall and time and takes for this to work. Time