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Speaker 1: Oh, hello the Internet, and welcome to season forty two,

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Speaker 1: episode four of the Dailies. Like guys, for what is today?

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Speaker 1: Let's just call it August second, two eighteen, because it is,

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Speaker 1: and my name is I guess Miles Gray today a

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Speaker 1: k A Gray, Babe, take a welcome to Miles side. Oh,

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Speaker 1: lou Reid, love that baseline too, one of the first

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Speaker 1: baselines I learned how to play. Actually, thanks to Will

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Speaker 1: Moran at williem Mo three two three for that A

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Speaker 1: K A. And I am just so delighted to be

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Speaker 1: joined by one of my favorite guests. And you know,

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Speaker 1: maybe one day we should have our own podcast. Please

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Speaker 1: welcome my co host today, comedian writer podcast host of

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Speaker 1: the Crazy Crazy Podcast. Yo is this racist? Mr? Andrew

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Speaker 1: t Oh? What? I finally got an A K and

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Speaker 1: I'm gonna do it now? Everyone ready, Okay, the clocks

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Speaker 1: run out, Tom's over blouse sat back to reality. Oh

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Speaker 1: there goes Andrew t O. And that was it? All right?

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Speaker 1: And you wrote that just now now from from eight

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Speaker 1: miles No, but I mean you just created came up

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Speaker 1: with that idea. You just finessed that because I've never

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Speaker 1: once gotten the A K A right, and so I

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Speaker 1: was so excited when I was like that, almost we

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Speaker 1: should have just took the one I always gave you, Andrew,

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Speaker 1: Andrew le Mommy t t that was that's I don't

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Speaker 1: have the chops. I mean, Jackie out here singing all

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Speaker 1: kinds of operation. I think you can pull off a

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Speaker 1: Nelly a couple of bars Nelly. Uh, and in our

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Speaker 1: third seat are a very special guest today. Uh is

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Speaker 1: someone I literally just met and she seems like a

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Speaker 1: wonderful person comedian and comedy and travel writer, amongst many

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Speaker 1: other things. Please welcome Chelsea Frank Well, what an intro much.

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Speaker 1: To be honest, most people I have just met prior

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Speaker 1: to doing that. But it felt right in this sense

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Speaker 1: I feel. I mean, we have known each other previously,

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Speaker 1: that's true. I know you from something. Yeah, sure, yeah,

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Speaker 1: we can way back another lifetime, like I think five

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Speaker 1: minutes before you mentioned yes, yes, yes, that was me. Yes, okay,

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Speaker 1: good the same page and fucking tasting. Uh. Now, let's

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Speaker 1: get into what we are going to be talking about today,

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Speaker 1: just so you guys stick around, because man, we got

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Speaker 1: all kinds of stuff. We got a little bit of

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Speaker 1: an update on the Facebook pages that were censored Uh.

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Speaker 1: This week. Also, you know, the Trump administration has some

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Speaker 1: ideas on fuel efficiency that will basically keep us all safe,

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Speaker 1: thank you Jesus. Uh. Then we're gonna talk about how

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Speaker 1: standard ground laws have now been proven to only be

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Speaker 1: for white people thanks to some new events in the

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Speaker 1: state of Alabama. Uh. Trump, he's feeling extra confident about

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Speaker 1: maybe sitting down for an interview with Mueller. Finally, I

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Speaker 1: guess he also wants to giveaway maybe another hundred billion

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Speaker 1: dollars to the rich. And you know what that means

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Speaker 1: for us, like regular non billionaire people. Uh, let's see. Oh,

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Speaker 1: Papa John, he won't go away when he should be.

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Speaker 1: And America, we are just drinking too much and we

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Speaker 1: are shopping too much online while we're drunk, and we

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Speaker 1: need to talk about that and we will. And that's

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Speaker 1: the lighter side story. That's the lighter We drink too much, Yes,

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Speaker 1: the light stuff today because you know, we are at

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Speaker 1: the mercy of the zeitgeist. So before we get into that,

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Speaker 1: let's talk to Chelsea. Chelsea, what is something from your

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Speaker 1: search history that is, you know, reveals a little bit

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Speaker 1: about yourself. Um, okay, last night I Google search to

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Speaker 1: see if there was a tumbler on Jews and gym's.

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Speaker 1: I just thought that would be a good tumbler And

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Speaker 1: there's not there. And what were you hoping to see?

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Speaker 1: I don't know. I just every time I see a

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Speaker 1: Jew in the gym, it's just like it's so sparkly

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Speaker 1: to me. It's so I can say this, I'm Jewish.

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Speaker 1: I was starting to sweat radio. I just I ever

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Speaker 1: time I keep seeing like very clear, it's just we

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Speaker 1: can it's the tribal thing. I can just tell you

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Speaker 1: know it's a Jew. But whenever I go to my gym,

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Speaker 1: it's just so fun. It's sparkly to see a little

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Speaker 1: Jewish boys china lift weights um. So I thought maybe

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Speaker 1: it would be fun and to see if there was

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Speaker 1: a tumbler on Jews and gym's. And I'm surprised, like

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Speaker 1: some neo Nazi hasn't covered that yet. It feels like

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Speaker 1: from one end of the spectrum or another, someone should

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Speaker 1: have done that. Yeah, right, it's like tremendous hate. But

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Speaker 1: I did Google search to that, and I thought that

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Speaker 1: what is it about the sparkliness that you're just more

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Speaker 1: like you see a member of your community and you're

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Speaker 1: like it's just it's it's just funny to me. Every

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Speaker 1: single time I just I look ridiculous in a gym.

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Speaker 1: Every single time I work out, I just don't look

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Speaker 1: like like a muscle has ever entered my body. So

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Speaker 1: it's just fun. And I wanted, I don't know, I

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Speaker 1: wanted to google what's your workout? Like? Do you do

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Speaker 1: like you walk on your hands on a treadmill? You

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Speaker 1: call it a workout? That's adorable. Thank you, that's nice.

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Speaker 1: What happens can even elevate me. Allow me to rephrase

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Speaker 1: my question, what size frappuccino are you drinking? I'm literally

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Speaker 1: in the sauna just drinking. I you know, what do

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Speaker 1: I do in the gym? I sort of like sit

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Speaker 1: at the different machines and look online to Someone comes

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Speaker 1: over and says, are you going to use this or what?

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Speaker 1: Like you're gonna you're gonna like work out those thives? Um.

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Speaker 1: I do a lot of squats. A I like squats

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Speaker 1: because I know what to do. All I gotta do

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Speaker 1: is just sit down kind of stand back. It's like

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Speaker 1: a reminder, this is what sitting is about to be. Like,

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Speaker 1: out of this thing, my feeling is I go like

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Speaker 1: at least I go and if I just get in

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Speaker 1: there and I do something good for me, I'm never

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Speaker 1: going to be one of those like Fitzbo people. I'm

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Speaker 1: never going to be jacked. So like my feeling is,

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Speaker 1: I went, I did something. My body sort of feels

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Speaker 1: sore kind of the next day. And there you go.

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Speaker 1: That's a fitspiration in it. And do you are you

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Speaker 1: havenily invested in athletic war or do you kind of

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Speaker 1: go looking like somebody who's never been to the gym,

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Speaker 1: because I know people who like there are people who

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Speaker 1: like buy outfits because they're like watching the gym, and

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Speaker 1: now you're I'm going to look like someone who's active.

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Speaker 1: No I I wear I mean very basic ship fantastic. No,

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Speaker 1: I don't care at us where I'm gonna spend my money.

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Speaker 1: I'm about to literally go to the gym after this

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Speaker 1: in the polo shirt I'm wearing. Damn well, I just

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Speaker 1: forgot to pack a gym shirt. Oh yeah, we might

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Speaker 1: have something for you because just I just threw shorts

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Speaker 1: in the bag and I'm like, I'm good, but I

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Speaker 1: forgot because normally I'm a dirt bag T shirt. Boy,

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Speaker 1: You're not one of those guys that go shirtless because

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Speaker 1: you can do that, I don't. Yeah, and you don't know.

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Speaker 1: I feel like you, muscle be You're a world baby,

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Speaker 1: do whatever you want. I'm definitely not at not as

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Speaker 1: Fitness has a all shirts policy. I wear a rash

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Speaker 1: guard into the shower. So, uh, Chelsea, what is something

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Speaker 1: that is overrated? Um? True love, I'm joking something I overrated?

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Speaker 1: I think fine dining like anything where it's uh tiny portions. Um,

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Speaker 1: but it's like from some guy with a neck tattoo

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Speaker 1: and he's like yeah, Like I'm just like I better

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Speaker 1: be full if I'm going to spend like they charge

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Speaker 1: so much for every little you know, bite, Like, bitch,

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Speaker 1: I better be full when I gave here. If I'm

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Speaker 1: going to drop like bucks on this meal. Like being Japanese,

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Speaker 1: if i see like eight dollar plate of Shishido peppers,

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Speaker 1: I'm like, no, just caused a fucking one dollar and

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Speaker 1: you you throw a little fucking soy sauce on there

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Speaker 1: and assess me seeing like these are blistered surprising amount

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Speaker 1: of sugar. When white people do it, I feel really

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Speaker 1: it's always like like a sweet glaze kind of jam.

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Speaker 1: Oh yeah, And I'm just like what are you doing?

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Speaker 1: I don't you don't see that's where I have to.

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Speaker 1: But yeah, especially with the small plates thing. And at

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Speaker 1: first it was fun because I feel like, man, I

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Speaker 1: can chaste a bunch of ship. But if each plate

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Speaker 1: is like eight to fourteen dollars, that adds well, that

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Speaker 1: is that is Like. I've been to some places here

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Speaker 1: in l A where it's like forty dollars for a

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Speaker 1: side of cauliflower, and I'm like, whoager, where are you

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Speaker 1: going where they got forty dollar college? Like I'm not

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Speaker 1: going to name name because I do write for about food,

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Speaker 1: so I don't want to be but there are some

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Speaker 1: places in here in l A that are so overrated.

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Speaker 1: I'm like, we're going to censor it, all right. There's

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Speaker 1: this place called You're not gonna sensor it. But it's fine.

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Speaker 1: There's this place called and I fucking hate this place

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Speaker 1: so much because everybody, like you know, comes to this place,

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Speaker 1: like they like jazz all over this place. They're just

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Speaker 1: like constantly like it's the best, it's the best. It's

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Speaker 1: so expensive. The food is like fine, it's not great,

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Speaker 1: it's fine. It's so blah, it's so whatever. It's tiny.

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Speaker 1: You can't hear anything. It's just like all hype and

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Speaker 1: that kisses me off because I'm like there's so much good,

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Speaker 1: cheap or affordable food in l A that it's like

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Speaker 1: but also I'm fine with like fine dining if they

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Speaker 1: feed you, like if you you know, I get it.

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Speaker 1: Like some people are top of their field. They're chefs

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Speaker 1: that have been like training forever and they've been like

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Speaker 1: you know, and great. I mean there's there's always going

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Speaker 1: to be like top of your field, more expensive in

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Speaker 1: any field. Fine, but like I don't want to have

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Speaker 1: to go get tacos after after I spent so much

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Speaker 1: money on this tiny, you know, piece of lettuce. So

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Speaker 1: I love a grilled romine lit. But the other thing

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Speaker 1: about fine dining, like especially that place you just mentioned

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Speaker 1: and some others, which is like it is a thing

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Speaker 1: also where it's like taking the food of people of color,

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Speaker 1: charging eight times more than it should cost and selling

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Speaker 1: it to white people. Right, I mean, like I don't

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Speaker 1: find not censoring this, but like that's like basically like

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Speaker 1: David Chang's entire empire, and it's not like he does

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Speaker 1: it bad. Yeah, he does a good job, but he's

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Speaker 1: repackaging for the price, you could go literally ten miles

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Speaker 1: in either direction to kay Town or the Sant Gabriel

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Speaker 1: Valley from his l a restaurant and get the same

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Speaker 1: thing for like a third as much. But he's making

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Speaker 1: it accessible because I think a lot of people if

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Speaker 1: you aren't of that community or of that culture, it

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Speaker 1: can be intimidating. Sometimes you're like, but I don't have

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Speaker 1: the menu do It's like, yo, they're gonna it's all

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Speaker 1: about selling babies. You go in there, they're gonna hook

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Speaker 1: you up either way. Okay, but yeah, I guess that

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Speaker 1: is what it is. What's a very cheap place that

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Speaker 1: you would suggest to people that isn't getting enough love

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Speaker 1: before I go to the underrated unless that's your underrated.

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Speaker 1: There's a taco truck on Fletcher that's one dollar tacos

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Speaker 1: and they're good. Okay, which one? It doesn't even have

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Speaker 1: a name to them, unnamed. I don't even know the

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Speaker 1: name of it, but it's it's honestly for a dollar,

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Speaker 1: it's so good. That's what I love. Yeah, my name.

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Speaker 1: It's this random taco truck on like Fletcher and like

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Speaker 1: near the Red Lion. Here's how you find it. If

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Speaker 1: you're a lay. Just start walking in concentric circles. If

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Speaker 1: you see a taco truck and be like you got

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Speaker 1: a name? Yeah, And if they say yeah, we're this,

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Speaker 1: they're like l froggy. No, I'm gonna find I'm gonna

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Speaker 1: when I when we're done here, I'm gonna Google search

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Speaker 1: it because I've labeled it on my Google Maps that

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Speaker 1: I can't I can't lose it because it's really close

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Speaker 1: to me. And I will let you guys know what

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Speaker 1: is something that is underrated? Chelsea second seeds an of

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Speaker 1: American Grit. You Came, I Came correct? Okay um. John

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Speaker 1: Cena hosts the show. It had two seasons. The first

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Speaker 1: season sucked, the second season was amazing. People in the military, yeah,

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Speaker 1: he had like these the hosts were all these people

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Speaker 1: who are either like it's a reality it's a reality show,

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Speaker 1: and essentially they take like military dudes and women or

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Speaker 1: like people who are trainers or whatever, and they take

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Speaker 1: all these people who are like lazy or unmotivated or

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Speaker 1: like kind of lost in their lives or just like

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Speaker 1: they take you and so like all you know, all

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Speaker 1: these people who basically have no grit, and they put

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Speaker 1: them through a series of like obstacles and um you know,

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Speaker 1: mental and physical uh programs or whatever to help them

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Speaker 1: achieve like higher grit, better grit. And it's hilarious. But

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Speaker 1: it's also like heartwarming because some of these people like

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Speaker 1: really get their to grow. They do grow, but it's

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Speaker 1: so fun. I mean these people. You couldn't like find

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Speaker 1: better people for this season of truly like whiny. It

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Speaker 1: was whiny crying like this one girl, which is every

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Speaker 1: single time like one of the instructors or coaches would

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Speaker 1: yell at her, not yell but do like military voice,

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Speaker 1: she would just cave and start crying immediately. One girl

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Speaker 1: refused to take off her fake nails, so she would

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Speaker 1: just like they would just pop off, like every time

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Speaker 1: she would just like go you know. Uh. One guy

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Speaker 1: kept falling every time. There's like this big bell that

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Speaker 1: when you lose a challenge and you leave, you have

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Speaker 1: to ring this giant bell, and every single time you

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Speaker 1: would try to like hit the belly just slide and

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Speaker 1: fall down. I mean, it's like amazing, it's so so so.

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Speaker 1: I remember when it first they were like advertising photos like, oh,

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Speaker 1: this could be interesting because I like seeing people who

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Speaker 1: are whiny get just fucking run through the ringer. That's

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Speaker 1: another reason why I like a kitchen nightmares. I mean,

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Speaker 1: I watch I'm looking at a promo clip right now,

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Speaker 1: and it does strongly imply these people are about to

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Speaker 1: get water boarded. So wait what it's just called American

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Speaker 1: Grit the dunking Challenge, and it looks like everyone's in

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Speaker 1: a body bag to get turned. Like okay, so that

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Speaker 1: is where yeah, they all are upside down and they're like, yeah,

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Speaker 1: this body bag type thing and then they just every

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Speaker 1: so often get dunc into the water and whoever like

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Speaker 1: lasts the longest wins. But there's drama and there's just

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Speaker 1: like there's so many feelings. It's amazing. I wish that

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Speaker 1: I don't remember, I mean I saw it. I watched

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Speaker 1: on Hula or something, but I wish that I had

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Speaker 1: been on the show before they canceled it. I would

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Speaker 1: have loved to be on the show. Well, you know,

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Speaker 1: maybe there can be a reboot, you know, you can

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Speaker 1: just John bring it back. Just loved it. Joined the military. Yeah,

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Speaker 1: I don't know if I would fit in too. Well, well,

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Speaker 1: that's the whole point of American Grit, right, It's people

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Speaker 1: who wouldn't fit in and then they get that grit.

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Speaker 1: So well, there's an army recruiting office right around the corner.

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Speaker 1: We'll go there after this and we'll see if you

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Speaker 1: have grit not to bring this back, but you don't

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Speaker 1: go to the military. Yeah, well, hey, many trailblazers that

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Speaker 1: I d F tumblers. So yeah, that was finally. Oh

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Speaker 1: I'm saying. Oh, I was just gonna say, like American

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Speaker 1: grit feels like the kind of thing where if someone

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Speaker 1: actually does find grit, it's like the perfect thing for

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Speaker 1: someone to just have a psychotic break. That's like a

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Speaker 1: winey person who all of a sudden gets steely and weird. Right, Uh, Chelsea,

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Speaker 1: what's a myth that you want to tear down? Okay,

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Speaker 1: I'm actually only here to talk about this. Oh fantastic,

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Speaker 1: And then you're leaving right after this, and I'm gone

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Speaker 1: because I don't care about anything else. Um. So, I

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Speaker 1: have heard from many people that uncircumcised penises are unhygienic.

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Speaker 1: This seems to be like some kind of crazy myth

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Speaker 1: that has been you know, floating around the zite geist.

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Speaker 1: Thank you, Okay, cool, And I'm here to say from

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Speaker 1: tons of research that it is just normal. Then we

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Speaker 1: need to stop shaming people for their foreskin. Here's what

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Speaker 1: I will say as a person who looks at the

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Speaker 1: dark underbelly of the internet a lot. Though. Um, the

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Speaker 1: people who are going to take most sucker from that

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Speaker 1: statement is there's like a whole offshoot of men's rights

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Speaker 1: activists who claimed that being circumcised is a form of

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Speaker 1: genital mutilation, and they are that's there the hill they

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Speaker 1: die on. This is the most important thing that ever

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Speaker 1: And it's just like, this was a tragedy. I had

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Speaker 1: no choice up to an including various plastic surgeries or

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Speaker 1: stretchy partners to try to restore the Yeah yeah, yeah.

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Speaker 1: Imagine telling your parents that's what you got out of

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Speaker 1: medical school, right, this is your calf. Okay, that's so. Look,

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Speaker 1: here's my thing. I don't think that getting circumcised is

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Speaker 1: a bad thing. I just think that people will be like, no,

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Speaker 1: if you choose to circumcise your kids, go for it.

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Speaker 1: That's not what I'm talking about. I'm just saying, if

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Speaker 1: you happen to be from a place or a culture

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Speaker 1: or a family or whatever, that there's so many people,

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Speaker 1: even girls, I hear like saying it's so disgusting and

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Speaker 1: it's gross and what it looks weird and whatever, and

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Speaker 1: I'm like, it's fine, it's natural, it's whatever's I prefer.

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Speaker 1: I think I like it better. I'm gonna I'm gonna

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Speaker 1: say that you're Jewish. I'm Jewish, and I prefer it.

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Speaker 1: But I'm just gonna say, if you've got that extra skin,

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Speaker 1: live your best life. I'm here for you. You know,

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Speaker 1: the whole thing, Okay, But people like to say it's

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Speaker 1: like unhygienic and that you know, it's not as easy

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Speaker 1: to clean. It's not like we're living in the Caveman

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Speaker 1: era anymore. I mean, people have soap now. It's not

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Speaker 1: like it's you're junk. You're fine. Yeah, and you have hands,

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Speaker 1: you have you have thumb, you can get in there

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Speaker 1: and you're fine. I mean, I just you know, I

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Speaker 1: hear this a lot, and I'm here to say it's bullshit.

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Speaker 1: Shout out to my friend nurse Brittany who talks about

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Speaker 1: how like they know how to Like you have people

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Speaker 1: who are bedridden, they have to clean them. They have

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Speaker 1: a whole they have whole methods of how to clean

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Speaker 1: the uncircumcised penis. So you know what people are out

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Speaker 1: here surviving? Google it? Yeah, google it if you're uncircumcised

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Speaker 1: and you still seriously don't sure. There are plenty of

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Speaker 1: tutorials on the internet at Starbucks, yes, or your public library. Uh.

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Speaker 1: So let's get into some of the stories. So yesterday

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Speaker 1: we were talking about how Facebook had detected some foreign

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Speaker 1: influence campaigns and had taken down pages that we were

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Speaker 1: kind of like, what's wrong with these pages? One was

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Speaker 1: like about like I think it was from the Resistors

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Speaker 1: that was just sort of like women don't have to

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Speaker 1: and it was just a list of like things pushing

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Speaker 1: back against patriarchy. And I was just sort of like,

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Speaker 1: that's interesting. Why is that something that they're taking down.

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Speaker 1: So we find out that one of the groups, especially

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Speaker 1: one of the Resistors pages, that was organizing a rally

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Speaker 1: to like a counter protest against the Unite the Right

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Speaker 1: rally that's happening in d C was a legitimate, actual

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Speaker 1: campaign put on by actual people, not Russian bots or

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Speaker 1: foreign agents, but merely that because Facebook doesn't have their

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Speaker 1: ship together, they took that a lot of activists try

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Speaker 1: and communicate anonymously through Facebook. That that kind of put

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Speaker 1: them in that bucket of Russian actors who also sort

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Speaker 1: of use this anonymity to communicate or to organize, and

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Speaker 1: so they were wrongly censored, had their event basically sort

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Speaker 1: of delegitimized by people by being like, oh, well, then

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Speaker 1: this is like a foreign influence campaign. So this is

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Speaker 1: just a fucking very weird thing, and again underlines the

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Speaker 1: idea that Facebook still doesn't know what the funk to

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Speaker 1: do when it comes to try and figure out what's

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Speaker 1: free speech, what is you know, malicious of misinformation from

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Speaker 1: a foreign power? And you know, I think it sort

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Speaker 1: of brings up the question of, like how we figure

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Speaker 1: this out because there their vulnerabilities for us, for in

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Speaker 1: terms of getting the misinformation spread, but also like rightly

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Speaker 1: so Facebook can be a powerful tool to organize people

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Speaker 1: for good causes. So yeah, just another thing to throw

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Speaker 1: on the pile of Facebook is the dumpster fires getting

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Speaker 1: bigger and bigger by the day. And it's one of

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Speaker 1: those things where you like, so clearly see how whoever

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Speaker 1: writes their algorithm, even whether it's a computer algorithm or

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Speaker 1: like just like a series of steps that the fucking

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Speaker 1: you know, alleged people that are like reviewing these things

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Speaker 1: have been follow because it's the same ship that you

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Speaker 1: see all the time, where like, you know, if you

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Speaker 1: report something that's like racist or whatever, but in postmodern racism,

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Speaker 1: it's always like couched in something or like something and

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Speaker 1: people are like, oh, we can't tell for sure, and

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Speaker 1: like you're denying the Holocaust, Yeah I think we know,

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Speaker 1: or like oh, I said ghetto, that doesn't mean you

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Speaker 1: know whatever, And it's like that's like I feel like

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Speaker 1: the last thing that will save us from aiyes, is

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Speaker 1: like they're not going to get irony for a long

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Speaker 1: time or how DoD listling really lurks? You robots are

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Speaker 1: stupid as fun. Come at me robots. I'll fight a robot,

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Speaker 1: would you. Yeah, I'll fight a robot. I can knock

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Speaker 1: a robot out, though you I think you have to

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Speaker 1: like ask it a question that has no answer, you

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Speaker 1: know what I'm saying now, I just can't use punch

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Speaker 1: it like the Socrates of ro tickets. Oh wow, So again,

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Speaker 1: let's talk a little bit about Mr. Donald Trump because

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Speaker 1: we can't avoid it. But this time the administration is

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Speaker 1: in the news again. I mean they're always news because

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Speaker 1: this is a hell escape we live in. But they

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Speaker 1: are now trying to move forward with a plan to

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Speaker 1: sort of you know, roll back fuel efficiency standards for

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Speaker 1: new vehicles, including a freeze on the escalating miles per

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Speaker 1: gallon requirements because God knows we hate fuel efficiency as

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Speaker 1: sort of like in an attempt to sort of hamstring

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Speaker 1: California's ability to control emissions in the state, which also

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Speaker 1: kind of dictates what the automaking industry does in the

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Speaker 1: in the country. Um and our boy rest in power.

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Speaker 1: Scott Pruett back in April, uh said that, you know,

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Speaker 1: he was like, I was arguing that, you know, new

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Speaker 1: vehicles could be better for the environment if they weren't

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Speaker 1: held to you know, Obama regulation miles per gallon standards,

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Speaker 1: because that means people could buy cars for cheaper, which

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Speaker 1: would make them more likely to get rid of their

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Speaker 1: old who d s and then they could be in

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Speaker 1: a newer, safer car. And then also the logic was

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Speaker 1: sort of that people will drive less if their cars

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Speaker 1: get fewer miles per gallon, lowering the risk of crashes.

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Speaker 1: So that makes no fucking sense. Just like just like that,

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Speaker 1: John Lovett's like pathological liar character mixed with a captain

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Speaker 1: Planet villain They're just like, well, okay, we want cars

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Speaker 1: to be more inefficient. How do we reach this aim? Right?

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Speaker 1: Just say anything? Right? Sometimes I feel like they are

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Speaker 1: they act like those kids who come in and they're like, oh, shoot,

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Speaker 1: I have a book report do today? Funk? I didn't

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Speaker 1: read any of it and they just get up and

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Speaker 1: do their presentation. They're like, you'll see that on page

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Speaker 1: three something happened and your efficiency is bad. It's bad,

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Speaker 1: so we see that there, Um, you know what I

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Speaker 1: mean by That's how I feel a lot of the

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Speaker 1: times when they come out with this ship, I'm like,

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Speaker 1: did you reading? Did you know? Would you know what's

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Speaker 1: going on? Because it's so transparent that this is just

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Speaker 1: to help the people who sell gasoline basically, or automakers

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Speaker 1: who even they themselves are a little bit like conflicted.

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Speaker 1: They're like, well, you know, yeah, we don't totally need this,

423
00:22:17,880 --> 00:22:20,160
Speaker 1: Like at least the response has been mixed from automakers,

424
00:22:20,200 --> 00:22:22,600
Speaker 1: but yeah, I guess when you're doing something that transparent,

425
00:22:22,680 --> 00:22:25,800
Speaker 1: like there's really no good way to try and obscure

426
00:22:26,280 --> 00:22:28,600
Speaker 1: like what your actual aim is if trying and being like, well,

427
00:22:29,000 --> 00:22:33,480
Speaker 1: if gas more expensive, then you drive less and crash less.

428
00:22:33,520 --> 00:22:36,960
Speaker 1: And you're safer. But that's that this is the type

429
00:22:37,000 --> 00:22:40,480
Speaker 1: of reasoning they've been trying for the last like fifty years.

430
00:22:40,480 --> 00:22:43,480
Speaker 1: I mean, that's what like trickled out economics is. It's like,

431
00:22:43,880 --> 00:22:46,440
Speaker 1: I guess, you know what, what actually help poor people

432
00:22:46,440 --> 00:22:50,480
Speaker 1: more if we give rich people more money because then

433
00:22:50,520 --> 00:22:57,680
Speaker 1: they'll spend it poor people ship. So you got it's

434
00:22:57,880 --> 00:23:01,840
Speaker 1: criminal not to give rich people more money though, because

435
00:23:01,880 --> 00:23:03,600
Speaker 1: they know what to do with it, because they're already rich.

436
00:23:03,880 --> 00:23:06,640
Speaker 1: I mean you feel they're they're smart with it. Yeah,

437
00:23:06,720 --> 00:23:08,679
Speaker 1: I mean, I mean, I guess that makes sense. Like,

438
00:23:08,800 --> 00:23:11,119
Speaker 1: you know, who gives a funk about making housing more

439
00:23:11,160 --> 00:23:14,000
Speaker 1: affordable so people can live closer to their jobs or

440
00:23:14,160 --> 00:23:19,200
Speaker 1: spending it on public transport that like our fucking city.

441
00:23:19,200 --> 00:23:20,640
Speaker 1: You know, we used to have fucking trains in here,

442
00:23:20,880 --> 00:23:23,159
Speaker 1: you know, and now we just have our weird fucking

443
00:23:23,200 --> 00:23:26,480
Speaker 1: subway system that we're trying to incrementally make better and better.

444
00:23:26,560 --> 00:23:29,879
Speaker 1: But it's just no, it's cool. What about scooters you

445
00:23:29,920 --> 00:23:33,399
Speaker 1: can rent right and then fucking leaving the goddamn street

446
00:23:33,480 --> 00:23:35,639
Speaker 1: for me to trip over and ship? Have you guys

447
00:23:35,640 --> 00:23:40,440
Speaker 1: talked about three D printed guns? Yes, the n r

448
00:23:40,520 --> 00:23:43,919
Speaker 1: A like support that I mean they do, and they

449
00:23:43,960 --> 00:23:46,119
Speaker 1: don't like they've kind of just been mum about it.

450
00:23:46,119 --> 00:23:48,399
Speaker 1: But we were talking yesterday about the reason why the

451
00:23:48,480 --> 00:23:50,280
Speaker 1: n r A isn't going to kind of fully be

452
00:23:50,320 --> 00:23:52,320
Speaker 1: like a hell and out of this because people would

453
00:23:52,320 --> 00:23:54,159
Speaker 1: be like, well, isn't that money out the podect like

454
00:23:54,240 --> 00:23:56,920
Speaker 1: the traditional gun. It's because a lot of these Second

455
00:23:56,960 --> 00:23:59,920
Speaker 1: Amendment people their whole idea, they're bit one of their

456
00:24:00,000 --> 00:24:04,720
Speaker 1: biggest fears about registering guns. No. Yeah, so making untraceable

457
00:24:04,720 --> 00:24:07,080
Speaker 1: guns kind of fits in line with like, yeah, but

458
00:24:07,160 --> 00:24:09,280
Speaker 1: we also want people to be like, you know, no,

459
00:24:09,440 --> 00:24:11,919
Speaker 1: but those people are the ones being used by the

460
00:24:12,040 --> 00:24:14,720
Speaker 1: n r A, which is funded by gun manufacturers. I

461
00:24:14,800 --> 00:24:17,600
Speaker 1: just would have assumed this, I mean, this is basically

462
00:24:17,600 --> 00:24:20,080
Speaker 1: three D printed guns is like Napster for guns. Yeah,

463
00:24:20,080 --> 00:24:22,400
Speaker 1: that's what we're saying, yes, and why they wouldn't push back,

464
00:24:22,400 --> 00:24:23,800
Speaker 1: But a lot of it has to do with this.

465
00:24:23,800 --> 00:24:26,760
Speaker 1: This one one of their main tenances, this fear of

466
00:24:26,760 --> 00:24:30,000
Speaker 1: a gun registry, because they always used this weird backwards

467
00:24:30,119 --> 00:24:33,240
Speaker 1: fake lie about how the Jews were disarmed and that's

468
00:24:33,240 --> 00:24:36,800
Speaker 1: why the Holocaust happened, when that's not you mean a

469
00:24:36,920 --> 00:24:40,000
Speaker 1: one time they're on our side about something. Yeah, right,

470
00:24:40,000 --> 00:24:42,400
Speaker 1: suddenly like, well the Jews man, you saw what happened there,

471
00:24:42,400 --> 00:24:45,399
Speaker 1: and mean, well, most of them are holocaust tires. It

472
00:24:45,520 --> 00:24:50,080
Speaker 1: wasn't a holocaust, but if there was, it was, Yeah,

473
00:24:50,240 --> 00:24:53,760
Speaker 1: but it didn't happen. But they should have guns, I

474
00:24:53,760 --> 00:24:59,320
Speaker 1: mean not them, but we should have Therefore, all right,

475
00:24:59,359 --> 00:25:11,480
Speaker 1: let's take a quick break. We'll be right back, and

476
00:25:11,600 --> 00:25:14,800
Speaker 1: we are back, so let's get right into it. Uh.

477
00:25:15,040 --> 00:25:19,440
Speaker 1: There was a story out in from Selma, Alabama, where

478
00:25:19,440 --> 00:25:22,000
Speaker 1: a woman who had filed a restraining order protective order

479
00:25:22,040 --> 00:25:25,000
Speaker 1: against her a strange husband, shot and killed him when

480
00:25:25,040 --> 00:25:27,360
Speaker 1: he suddenly showed up at her house and charged her,

481
00:25:27,720 --> 00:25:31,520
Speaker 1: like just ran at her. Now, Alabama is a state

482
00:25:31,560 --> 00:25:35,119
Speaker 1: with standard ground laws, which is basically meaning it's justified

483
00:25:35,119 --> 00:25:38,640
Speaker 1: to use deadly force against anyone if you, quote unquote

484
00:25:38,640 --> 00:25:42,639
Speaker 1: believe there is an imminent physical threat to yourself and

485
00:25:42,720 --> 00:25:44,520
Speaker 1: you don't have to retreat because you can stand your

486
00:25:44,560 --> 00:25:47,640
Speaker 1: motherfucking ground because you're a cowboy or whatever. And so

487
00:25:48,080 --> 00:25:49,960
Speaker 1: this is a state that has those laws. And you'd

488
00:25:49,960 --> 00:25:53,800
Speaker 1: imagine that by definition, this situation would fall under the

489
00:25:53,800 --> 00:25:56,600
Speaker 1: protection of the standard ground laws. But there's a there's

490
00:25:56,640 --> 00:25:59,600
Speaker 1: a twist right. Those laws typically only protect white people

491
00:25:59,600 --> 00:26:02,399
Speaker 1: who are shooting people of color. Uh. And in this case,

492
00:26:02,560 --> 00:26:07,680
Speaker 1: the woman, her name is Jacqueline Dixon. She is a

493
00:26:07,720 --> 00:26:10,639
Speaker 1: black woman, and so that means she was pretty much

494
00:26:10,680 --> 00:26:13,080
Speaker 1: straight up taking into custody over like you know, a

495
00:26:13,200 --> 00:26:16,359
Speaker 1: murder case, and they set her bond to fuck you

496
00:26:16,560 --> 00:26:20,040
Speaker 1: level out a hundred thousand dollars. And the whole reasoning

497
00:26:20,040 --> 00:26:22,600
Speaker 1: the argument is just so I mean, here, this is

498
00:26:22,640 --> 00:26:26,000
Speaker 1: a quote from one of the Alabama newspapers that says

499
00:26:26,080 --> 00:26:31,679
Speaker 1: Collier in Dallas County District Attorney Michael Jackson UH said, Michael,

500
00:26:32,600 --> 00:26:36,320
Speaker 1: Jacqueline Dixon did have a protection from abuse order against

501
00:26:36,359 --> 00:26:38,879
Speaker 1: her husband. However, it appears she did not seek enforcement

502
00:26:38,920 --> 00:26:42,240
Speaker 1: of the order at times during her marriage. Jacqueline Dixon

503
00:26:42,240 --> 00:26:44,760
Speaker 1: made the request for the protective order in twenty sixteen,

504
00:26:44,800 --> 00:26:47,600
Speaker 1: according to court records, claiming carl Omar Dixon had punched

505
00:26:47,640 --> 00:26:49,560
Speaker 1: her in the face and called her curse words. And

506
00:26:49,560 --> 00:26:53,679
Speaker 1: this happened multiple times, but he always came back. So again,

507
00:26:53,920 --> 00:26:56,160
Speaker 1: I don't know if they're trying to say it would

508
00:26:56,200 --> 00:26:57,639
Speaker 1: and no, they are trying to say that it is

509
00:26:57,680 --> 00:27:03,320
Speaker 1: the victim's fault for not constantly reporting the torment and

510
00:27:03,359 --> 00:27:05,480
Speaker 1: abuse she had to endure at the hands of her husband,

511
00:27:05,480 --> 00:27:08,040
Speaker 1: who she already asked for. I am in fear of

512
00:27:08,080 --> 00:27:11,919
Speaker 1: my life protective order from them. And then the d

513
00:27:12,080 --> 00:27:13,800
Speaker 1: A also went on to say, you know, the couple

514
00:27:13,840 --> 00:27:16,520
Speaker 1: had a history of domestic issues in the past. Uh

515
00:27:16,520 --> 00:27:19,879
Speaker 1: and said Tuesday's argument possibly started after carl More Dixon

516
00:27:19,920 --> 00:27:22,080
Speaker 1: found a condom at his wife's house that did not

517
00:27:22,240 --> 00:27:26,560
Speaker 1: belong to him and he thought she was cheating. So again,

518
00:27:27,040 --> 00:27:30,000
Speaker 1: I'm not sure what the logic being applied to is

519
00:27:30,040 --> 00:27:32,560
Speaker 1: here that like, well, you know, if she was cheating,

520
00:27:32,800 --> 00:27:37,320
Speaker 1: he would be mad and justified. It's a tragedy that

521
00:27:37,359 --> 00:27:40,280
Speaker 1: he was cutting. This man was cut down in his prime. Yeah,

522
00:27:40,320 --> 00:27:44,760
Speaker 1: it's I'm still really trying to understand how this doesn't

523
00:27:45,080 --> 00:27:47,080
Speaker 1: if if you there are truly these stay in your ground.

524
00:27:47,320 --> 00:27:50,440
Speaker 1: Was why this doesn't apply here? I mean because I

525
00:27:50,440 --> 00:27:52,600
Speaker 1: remember remember, I think it was last week or league before,

526
00:27:52,880 --> 00:27:55,720
Speaker 1: an unarmed black man was shot in a parking lot

527
00:27:55,760 --> 00:27:58,640
Speaker 1: because he shoved a guy. Uh, and then that guy

528
00:27:58,720 --> 00:28:00,879
Speaker 1: just went home and think I remember this guy. I

529
00:28:00,920 --> 00:28:04,560
Speaker 1: think his name was George Zimmerman, who also did I

530
00:28:04,560 --> 00:28:06,280
Speaker 1: think he shot a man named Trayvon, a young man

531
00:28:06,359 --> 00:28:09,119
Speaker 1: named Trayvon Martin. Again with the standard ground law, he

532
00:28:09,760 --> 00:28:12,240
Speaker 1: is now out here just acting a fool, and he's

533
00:28:12,240 --> 00:28:15,679
Speaker 1: out here committing more crimes, more crimes. So but like

534
00:28:15,720 --> 00:28:17,919
Speaker 1: even again, there was that woman Rissa Alexander who was

535
00:28:18,320 --> 00:28:21,719
Speaker 1: uh in in Florida, who fired warning shots at her

536
00:28:21,720 --> 00:28:25,960
Speaker 1: abusive husband. It just didn't even near him, just like, yo,

537
00:28:26,000 --> 00:28:27,720
Speaker 1: get the funk away, you're not putting your hands on me.

538
00:28:27,760 --> 00:28:30,840
Speaker 1: And she got sentenced to twenty fucking years uh. And

539
00:28:30,920 --> 00:28:33,120
Speaker 1: I mean that that her sentence was later bumped down

540
00:28:33,119 --> 00:28:35,800
Speaker 1: to something like eleven hundred days after she took a

541
00:28:35,840 --> 00:28:39,600
Speaker 1: plea deal. But again this is more just bizarre. How

542
00:28:39,880 --> 00:28:42,280
Speaker 1: you know, that's still three years in prison for something

543
00:28:42,320 --> 00:28:45,480
Speaker 1: that a white person would go literally free for. Yeah,

544
00:28:45,600 --> 00:28:50,560
Speaker 1: and it's you know, we have apparently those standard ground laws.

545
00:28:50,640 --> 00:28:53,080
Speaker 1: It's more just to protect people who you know, it's

546
00:28:53,120 --> 00:28:56,600
Speaker 1: more state sanctioned murder. But again I don't it's really

547
00:28:56,640 --> 00:28:58,840
Speaker 1: hard to wrap my head around this whole thing because

548
00:28:58,880 --> 00:29:03,040
Speaker 1: already those laws fucking awful. But is this that shocking though?

549
00:29:03,080 --> 00:29:06,160
Speaker 1: I mean, like everything's just for white people? No, I know,

550
00:29:06,280 --> 00:29:08,760
Speaker 1: but I mean I still want to believe that you know,

551
00:29:09,240 --> 00:29:13,000
Speaker 1: I'm not. I'm not in denial of white supremacist capitalist

552
00:29:13,000 --> 00:29:16,120
Speaker 1: patriarchy that we exist in. But at the same time,

553
00:29:16,480 --> 00:29:21,200
Speaker 1: you there, this is so it's just so blatant that

554
00:29:21,560 --> 00:29:23,840
Speaker 1: that it's just clear. It's like, well it doesn't apply

555
00:29:23,960 --> 00:29:27,080
Speaker 1: here because not white. But like standard ground laws have

556
00:29:27,600 --> 00:29:32,160
Speaker 1: it's just like if they were actually applied logically, I like,

557
00:29:32,600 --> 00:29:36,400
Speaker 1: find me the legal justification then that any black person

558
00:29:36,480 --> 00:29:40,120
Speaker 1: can't shoot any given cop literally. I mean, just like

559
00:29:40,160 --> 00:29:42,560
Speaker 1: if you're like I have a reasonable fear that I'm

560
00:29:42,600 --> 00:29:45,040
Speaker 1: in immittent physical threat, if you're a black person to

561
00:29:45,120 --> 00:29:49,280
Speaker 1: cop walks towards you, you can shoot them. Okay, Well,

562
00:29:49,080 --> 00:29:51,880
Speaker 1: well I don't know about that. That's my legal analysis.

563
00:29:51,960 --> 00:29:56,040
Speaker 1: But you think so, I mean, because I mean, clearly,

564
00:29:56,080 --> 00:29:59,160
Speaker 1: police their first instinct when seeing approaching a man of

565
00:29:59,200 --> 00:30:01,720
Speaker 1: color is like, this guy might kill me, so I

566
00:30:01,760 --> 00:30:04,479
Speaker 1: gotta be ready to shoot first. This is just uh.

567
00:30:05,240 --> 00:30:07,800
Speaker 1: I hope that we can figure out a way to

568
00:30:08,000 --> 00:30:10,800
Speaker 1: introduce more common sense into things like this, but you know,

569
00:30:10,920 --> 00:30:13,600
Speaker 1: that's why we have to vote with our conscience. But

570
00:30:13,640 --> 00:30:15,239
Speaker 1: I don't know if that don't even help, you know,

571
00:30:15,720 --> 00:30:18,880
Speaker 1: I I would say this, I would be fine if

572
00:30:19,160 --> 00:30:23,120
Speaker 1: the good people of Alabama as a population voted the

573
00:30:23,120 --> 00:30:28,400
Speaker 1: opposite of their conscience specifically, right right, right, Yeah, well, gosh,

574
00:30:28,520 --> 00:30:32,160
Speaker 1: it's another story that is leaving you know, people of

575
00:30:32,200 --> 00:30:35,120
Speaker 1: color in prison and a person's life ended. I mean again,

576
00:30:35,160 --> 00:30:38,600
Speaker 1: if if the state had just followed through to enforce

577
00:30:38,680 --> 00:30:41,320
Speaker 1: this protective order, they could have kept this man away

578
00:30:41,360 --> 00:30:44,200
Speaker 1: from her. Or like I just this idea that she

579
00:30:44,400 --> 00:30:48,240
Speaker 1: was somehow responsible for documenting every single incident and therefore

580
00:30:48,640 --> 00:30:50,640
Speaker 1: that made them feel like, oh well, maybe it's not

581
00:30:50,720 --> 00:30:52,560
Speaker 1: that big of a deal. It's such a failure on

582
00:30:52,560 --> 00:30:54,400
Speaker 1: their part to protect their own citizens. I mean, it's

583
00:30:54,400 --> 00:30:56,400
Speaker 1: just like a perfect storm of all of the of

584
00:30:56,440 --> 00:30:58,040
Speaker 1: so many issues that we're dealing with. I mean, it's

585
00:30:58,160 --> 00:31:01,480
Speaker 1: completely secast, it's victim shape wing. It's like we don't

586
00:31:01,600 --> 00:31:04,880
Speaker 1: we don't believe women, um, and we put the onus

587
00:31:04,920 --> 00:31:07,720
Speaker 1: on them to report, you know, constantly, even though it's

588
00:31:07,760 --> 00:31:10,360
Speaker 1: like they're not clearly not doing anything, you're still able

589
00:31:10,400 --> 00:31:12,719
Speaker 1: to come, you know, contact her. It's like it's like

590
00:31:12,840 --> 00:31:15,000
Speaker 1: she probably had a reason she wasn't going off you know,

591
00:31:15,160 --> 00:31:18,320
Speaker 1: reporting everything. Probably nothing was getting done um or you

592
00:31:18,360 --> 00:31:20,960
Speaker 1: can forget. I mean, it's like having to renew your

593
00:31:21,400 --> 00:31:25,480
Speaker 1: don't domestically abuse me license is insane. I can't even

594
00:31:25,520 --> 00:31:28,800
Speaker 1: remember to renew my writing license in l A. You know,

595
00:31:28,960 --> 00:31:32,800
Speaker 1: like it's like there's so much shit, you know, there's

596
00:31:32,840 --> 00:31:35,240
Speaker 1: it's like when you're worried for your life, maybe that's

597
00:31:35,280 --> 00:31:37,400
Speaker 1: not the top priority on your list. Yeah, or the

598
00:31:37,640 --> 00:31:40,920
Speaker 1: least you can tell the municipality who's supposed to protect you,

599
00:31:40,960 --> 00:31:43,160
Speaker 1: saying I need this person away from me. I think

600
00:31:43,200 --> 00:31:45,360
Speaker 1: it should really be more on the owners. Should be

601
00:31:45,360 --> 00:31:48,560
Speaker 1: on the person who is the perpetrator of the violence.

602
00:31:48,880 --> 00:31:51,320
Speaker 1: Should prove to the state that they are not around

603
00:31:51,360 --> 00:31:54,120
Speaker 1: this person, that they are not calling this person, Like

604
00:31:54,160 --> 00:31:55,880
Speaker 1: why the funk is it on the victim? And then

605
00:31:55,920 --> 00:31:59,000
Speaker 1: all you're doing is having the victim have to relive

606
00:31:59,040 --> 00:32:00,479
Speaker 1: this over the time being, like, well, now I have

607
00:32:00,520 --> 00:32:03,040
Speaker 1: to obsess over is this person calling me? Is this

608
00:32:03,080 --> 00:32:05,600
Speaker 1: person approaching me that I'm trying I got the refriending

609
00:32:05,640 --> 00:32:07,520
Speaker 1: order if I could keep them away from my life.

610
00:32:07,560 --> 00:32:10,320
Speaker 1: Now there my whole life is centered around them still,

611
00:32:10,720 --> 00:32:13,840
Speaker 1: you know, so it is really insane. Well, yeah, this

612
00:32:14,000 --> 00:32:17,240
Speaker 1: is America, as Donald Glover once said, uh so, now

613
00:32:17,320 --> 00:32:19,760
Speaker 1: let's just talk a little bit about a little more

614
00:32:19,760 --> 00:32:22,239
Speaker 1: about Donald Trump, because you know, he did go on

615
00:32:22,280 --> 00:32:26,640
Speaker 1: a fucking whole twitter ship storm tirade yesterday, and everyone's

616
00:32:26,640 --> 00:32:28,840
Speaker 1: sort of like, Yo, what's what happened with all this?

617
00:32:28,920 --> 00:32:32,880
Speaker 1: Like telling Jeff Sessions to just straight up fire Mueller

618
00:32:32,960 --> 00:32:36,600
Speaker 1: and stop the investigation all the other stuff and the

619
00:32:36,600 --> 00:32:38,480
Speaker 1: the trickling story out of the White House sort of like,

620
00:32:38,520 --> 00:32:39,960
Speaker 1: you know, like he heard a little bit about the

621
00:32:40,120 --> 00:32:42,600
Speaker 1: like Mueller wanting to interview him, and he just started

622
00:32:42,600 --> 00:32:45,280
Speaker 1: tweeting or whatever. But I think it's because there are

623
00:32:45,280 --> 00:32:50,000
Speaker 1: many other forces coming to his doorstep much quicker. But

624
00:32:50,640 --> 00:32:54,680
Speaker 1: what's interesting is that, according to old Maggie Haberman, the

625
00:32:54,960 --> 00:32:58,920
Speaker 1: old Trump whisper, she found out that apparently Trump had

626
00:32:58,920 --> 00:33:01,360
Speaker 1: been telling his advisors that he's eager to meet with

627
00:33:01,480 --> 00:33:05,440
Speaker 1: investigators to clear himself of wrongdoing, and in effect, he

628
00:33:05,520 --> 00:33:08,600
Speaker 1: believes he can quote convinced the investigators for the Special

629
00:33:08,600 --> 00:33:11,960
Speaker 1: Counsel Robert Mueller, of his belief that their own inquiry

630
00:33:12,120 --> 00:33:15,720
Speaker 1: is a witch hunt. So this man is so he thinks, yes,

631
00:33:15,800 --> 00:33:18,160
Speaker 1: please let me talk to Robert Mueller. Because first he

632
00:33:18,240 --> 00:33:20,200
Speaker 1: was like, look, I'd really love to sit down and

633
00:33:20,200 --> 00:33:22,800
Speaker 1: talk with you. We can limit the number of questions

634
00:33:22,800 --> 00:33:25,520
Speaker 1: to the obstruction charges and we can just kind of

635
00:33:25,560 --> 00:33:27,640
Speaker 1: I just need a few questions because you're gonna lie

636
00:33:27,960 --> 00:33:30,959
Speaker 1: the whole time anyway. Um and all of his lawyers like, no, no,

637
00:33:31,000 --> 00:33:33,400
Speaker 1: don't do it. Don't do it, obviously because this man

638
00:33:33,520 --> 00:33:36,920
Speaker 1: cannot stop lying and doesn't know fact from fiction. But

639
00:33:37,880 --> 00:33:41,000
Speaker 1: the idea that he thinks he can sit down tote

640
00:33:40,680 --> 00:33:43,480
Speaker 1: it with Robert Mueller and just be like, fam, you

641
00:33:43,560 --> 00:33:45,920
Speaker 1: get it right. This thing is a witch hunt. I

642
00:33:45,920 --> 00:33:47,680
Speaker 1: think it's even more. I feel like it's on some

643
00:33:47,800 --> 00:33:51,280
Speaker 1: like duck season rabbit season ship where he's like, actually,

644
00:33:51,320 --> 00:33:54,760
Speaker 1: you colluded with Russia. Oh you think he can fucking

645
00:33:54,760 --> 00:33:57,320
Speaker 1: just jedi mind him. I think that is what he

646
00:33:57,400 --> 00:33:59,680
Speaker 1: thinks he can do. Yeah, I think for sure. Doesn't

647
00:33:59,720 --> 00:34:01,400
Speaker 1: it feel like he was just like, oh, this is

648
00:34:01,440 --> 00:34:04,200
Speaker 1: just a witch hunt. You're you're just you're just a

649
00:34:04,240 --> 00:34:08,880
Speaker 1: politically motivated deep stake. Just relax, relax. And he's like,

650
00:34:09,040 --> 00:34:12,160
Speaker 1: I used to run the FBI, and I'm a prosecutor

651
00:34:12,200 --> 00:34:14,719
Speaker 1: and I'm looking at evidence. That's what I'm looking at.

652
00:34:14,760 --> 00:34:16,640
Speaker 1: I'm not just in He's not just in the room

653
00:34:16,680 --> 00:34:19,800
Speaker 1: being like, yeah, let's let's just make up some stuff

654
00:34:19,880 --> 00:34:21,959
Speaker 1: to figure out how we can bring this person down.

655
00:34:22,120 --> 00:34:25,160
Speaker 1: That's again, I hope he does. I hope he does

656
00:34:25,239 --> 00:34:27,239
Speaker 1: talk to him, and I hope he does realize his

657
00:34:27,320 --> 00:34:29,640
Speaker 1: fantasy that I hope that conversations recorded and we can

658
00:34:29,760 --> 00:34:32,000
Speaker 1: listen to it later. I mean, I mean, just so

659
00:34:32,080 --> 00:34:37,640
Speaker 1: juicy and and it will be hilarious. Oh yeah, just

660
00:34:37,680 --> 00:34:40,359
Speaker 1: to hear that. He's like, Okay, Mr Trump, President Trump,

661
00:34:40,400 --> 00:34:42,960
Speaker 1: I'd like to ask, uh, so when did you know

662
00:34:43,000 --> 00:34:47,560
Speaker 1: that Michael Flynn was compromised by the Russians. Probably, I

663
00:34:47,600 --> 00:34:49,400
Speaker 1: don't know, a long time ago before I talked to

664
00:34:49,480 --> 00:34:51,520
Speaker 1: James Commy. Okay, so that's why you asked him to

665
00:34:51,640 --> 00:34:54,040
Speaker 1: relax on him. Oh yeah, yeah, yeah, because you know,

666
00:34:54,040 --> 00:34:55,600
Speaker 1: I didn't want him get in trouble for you know,

667
00:34:55,640 --> 00:34:58,560
Speaker 1: working with the Russians. Thank you. I have to go now.

668
00:34:58,719 --> 00:35:00,960
Speaker 1: I mean, I don't know what the but yeah, oh,

669
00:35:01,000 --> 00:35:04,000
Speaker 1: I think it's it'll be more because he That's that's

670
00:35:04,040 --> 00:35:08,719
Speaker 1: what like. Trump is the kind of dumbass that thinks

671
00:35:08,880 --> 00:35:11,240
Speaker 1: he's going to go into this meeting and be so

672
00:35:11,400 --> 00:35:15,600
Speaker 1: confident and mean that will just will I think that

673
00:35:15,760 --> 00:35:18,040
Speaker 1: is what he thinks he can do. But he can

674
00:35:18,120 --> 00:35:22,160
Speaker 1: intimidate him and it's like alright, man, all right, keep playing.

675
00:35:22,239 --> 00:35:25,759
Speaker 1: That level of narcissism is truly inspiring. Yeah. I didn't

676
00:35:25,760 --> 00:35:28,560
Speaker 1: think it was possible, but yeah, when you think you

677
00:35:28,640 --> 00:35:32,799
Speaker 1: can literally just change reality before someone's eyes, I mean

678
00:35:32,840 --> 00:35:35,960
Speaker 1: he sort of has for so many people, I don't,

679
00:35:35,960 --> 00:35:38,080
Speaker 1: you know, and not to defense, but I mean he

680
00:35:38,160 --> 00:35:41,120
Speaker 1: has made so many Americans and I'll be you know,

681
00:35:41,560 --> 00:35:46,040
Speaker 1: just completely uh you know, retreat on what reality and

682
00:35:46,120 --> 00:35:48,640
Speaker 1: so he has succeeded in the past, it's not like it.

683
00:35:49,560 --> 00:35:51,880
Speaker 1: But then he's like, but Mueller, it will be the

684
00:35:51,880 --> 00:35:54,080
Speaker 1: same thing. Like I got people to believe the birth

685
00:35:54,120 --> 00:35:56,479
Speaker 1: of ship. Yeah, I got people to believe that, people

686
00:35:56,480 --> 00:35:58,759
Speaker 1: to vote for me. Yes, that's like the reality is

687
00:35:58,760 --> 00:36:01,920
Speaker 1: fake news. Yeah, black and I convinced this really intelligent

688
00:36:03,040 --> 00:36:05,800
Speaker 1: does have a track record. But that's that's the danger

689
00:36:05,800 --> 00:36:08,920
Speaker 1: of the rallies is Trump has only been around people

690
00:36:09,000 --> 00:36:13,200
Speaker 1: basically who he has successfully brainwatched and doesn't realize that

691
00:36:13,239 --> 00:36:16,799
Speaker 1: there are other people who he hasn't brainwashed. He's like

692
00:36:16,840 --> 00:36:19,480
Speaker 1: a poet who's only done like poetry readings for his

693
00:36:19,600 --> 00:36:22,560
Speaker 1: like like really supportive aunts and mom, and they've always

694
00:36:22,600 --> 00:36:25,879
Speaker 1: like that was great. That was like an American idol auditioner. Yeah,

695
00:36:25,960 --> 00:36:27,920
Speaker 1: then you pull up and they're like, then you talk

696
00:36:27,960 --> 00:36:31,239
Speaker 1: to some real people, They're like no, what what? But

697
00:36:31,320 --> 00:36:32,640
Speaker 1: this whole time I was like to believe that this

698
00:36:32,719 --> 00:36:35,600
Speaker 1: is okay. No, he's literally been like the beneficiary of

699
00:36:35,800 --> 00:36:40,120
Speaker 1: white affirmative action telling him he's okay because he literally,

700
00:36:40,160 --> 00:36:43,160
Speaker 1: you know, it's like he's the result of the participation

701
00:36:43,239 --> 00:36:48,720
Speaker 1: trophy for billionaires, for millionaires, high thousandaires. Maybe yeah really,

702
00:36:49,080 --> 00:36:52,640
Speaker 1: uh yeah, he's been getting participation trophies his entire life,

703
00:36:52,640 --> 00:36:57,560
Speaker 1: and so now he thinks he could do this. The

704
00:36:57,600 --> 00:36:59,400
Speaker 1: other thing they were saying, I CNN, I think it

705
00:36:59,440 --> 00:37:01,680
Speaker 1: was reporting to you that his like staff like because

706
00:37:01,680 --> 00:37:04,200
Speaker 1: of all these like he's just in a really bad place.

707
00:37:04,239 --> 00:37:07,239
Speaker 1: Apparently they're trying to, like, you know, just plan more

708
00:37:07,320 --> 00:37:09,600
Speaker 1: rallies for him to distract him because they realize, like

709
00:37:09,840 --> 00:37:12,759
Speaker 1: he'll just kind of just be so gone in his

710
00:37:12,800 --> 00:37:14,719
Speaker 1: own world at the rallies, Like that's the one way

711
00:37:14,760 --> 00:37:16,719
Speaker 1: they can try and kind of keep him in line.

712
00:37:16,760 --> 00:37:19,399
Speaker 1: But we all know the second he goes off book

713
00:37:19,400 --> 00:37:22,280
Speaker 1: at those rallies, he then just says some more ship

714
00:37:22,400 --> 00:37:25,799
Speaker 1: that causes problems and that leads to nothing. Yeah, that

715
00:37:25,840 --> 00:37:29,640
Speaker 1: everyone just goes, oh that was bad, I don't do that,

716
00:37:29,680 --> 00:37:32,440
Speaker 1: and then nothing happens. Well, I think the walls are

717
00:37:32,440 --> 00:37:35,520
Speaker 1: closing in a little bit though, especially with the Manifort trial.

718
00:37:35,800 --> 00:37:38,360
Speaker 1: What we need is, like, look, if there's ever going

719
00:37:38,400 --> 00:37:41,200
Speaker 1: to be any sort of tech innovation, it will be

720
00:37:41,840 --> 00:37:46,160
Speaker 1: building just one matrix for Donald Trump to jack into

721
00:37:46,200 --> 00:37:50,759
Speaker 1: where he's constantly at a at a campaign or at

722
00:37:50,800 --> 00:37:54,280
Speaker 1: a not even campaign rally, at a fascist rally exactly,

723
00:37:54,400 --> 00:37:56,839
Speaker 1: and he'll he can just relive that moment over and

724
00:37:56,880 --> 00:37:59,320
Speaker 1: over and over again in his life. That's my black

725
00:37:59,360 --> 00:38:04,080
Speaker 1: mirror episode. Yeah, as a white mirror, white mirror. Uh well,

726
00:38:04,239 --> 00:38:08,200
Speaker 1: speaking of just Trump again, there was Yeah, there was

727
00:38:08,280 --> 00:38:12,239
Speaker 1: this this thing floating around that they've been considering possibly

728
00:38:12,360 --> 00:38:16,640
Speaker 1: giving another hundred billion dollars away to the wealthiest people

729
00:38:16,800 --> 00:38:23,000
Speaker 1: in America because again they deserve it now without getting

730
00:38:23,000 --> 00:38:25,960
Speaker 1: to like wonky about it. It would just basically be

731
00:38:26,160 --> 00:38:30,080
Speaker 1: like not through legislation, but through regulation where the Treasury

732
00:38:30,080 --> 00:38:32,640
Speaker 1: Department could redefine the word cost in terms of what

733
00:38:32,680 --> 00:38:35,200
Speaker 1: their investment profits are, so in a way they would

734
00:38:35,239 --> 00:38:38,000
Speaker 1: just save a lot of money over like you're like, well,

735
00:38:38,040 --> 00:38:39,920
Speaker 1: I just made this win the stock market, so let

736
00:38:39,920 --> 00:38:43,360
Speaker 1: me keep more of it because because the cost of

737
00:38:43,440 --> 00:38:46,160
Speaker 1: it was so much higher, because we can just change

738
00:38:46,160 --> 00:38:49,920
Speaker 1: the accounting terms. This is some enron ship. Yeah, no,

739
00:38:50,040 --> 00:38:52,840
Speaker 1: it really is. It really is. And there's there was

740
00:38:52,880 --> 00:38:56,400
Speaker 1: an analysis earlier this year that found that this proposed

741
00:38:56,400 --> 00:38:58,520
Speaker 1: cut would reduce tax revenue by more than a hundred

742
00:38:58,560 --> 00:39:01,600
Speaker 1: billion dollars over ten years. Sixty three percent of that

743
00:39:01,600 --> 00:39:04,320
Speaker 1: money would flow to the pockets of the top zero

744
00:39:04,520 --> 00:39:09,640
Speaker 1: point one percent of income earners. Sixtent of that goes

745
00:39:09,680 --> 00:39:14,000
Speaker 1: to the top zero point one percent. Now, again, this

746
00:39:14,080 --> 00:39:16,560
Speaker 1: is another thing that Trump has done really well is

747
00:39:16,600 --> 00:39:20,040
Speaker 1: to have people be like, yeah, and billionaires are tight,

748
00:39:20,640 --> 00:39:24,319
Speaker 1: and that's fine, and my life isn't. My lack of

749
00:39:24,320 --> 00:39:28,760
Speaker 1: opportunity or uh, fair wages isn't because of their greed.

750
00:39:28,880 --> 00:39:32,080
Speaker 1: It's because of m. S. Thirteen or whoever the funcket

751
00:39:32,120 --> 00:39:34,960
Speaker 1: is this week? Um, and yeah, the I guess they

752
00:39:34,960 --> 00:39:37,479
Speaker 1: said another twenty three percent would go to the next

753
00:39:37,600 --> 00:39:41,640
Speaker 1: zero point nine percent. So those are people with an

754
00:39:41,680 --> 00:39:44,440
Speaker 1: adjusted annual gross income of more than like around one

755
00:39:44,480 --> 00:39:47,480
Speaker 1: and a half million dollars. So yeah, about so eight

756
00:39:47,560 --> 00:39:50,080
Speaker 1: about eighty six percent that tax cut, or like about

757
00:39:50,080 --> 00:39:52,800
Speaker 1: eighty billion dollars goes to the top one percent of orders.

758
00:39:52,800 --> 00:39:56,560
Speaker 1: So yeah, I think again people need to familiarize with

759
00:39:56,600 --> 00:39:59,720
Speaker 1: themselves with how much of another Like there's another attempt

760
00:39:59,760 --> 00:40:03,120
Speaker 1: at just a violent redistribution of wealth in this country

761
00:40:03,160 --> 00:40:06,719
Speaker 1: that they think that, Like, you know, this is when

762
00:40:06,760 --> 00:40:08,960
Speaker 1: you look at I guess the income share of like

763
00:40:09,040 --> 00:40:12,560
Speaker 1: how it works in Western Europe versus the US, right,

764
00:40:12,880 --> 00:40:17,880
Speaker 1: Like where in I think, what of national income was

765
00:40:17,920 --> 00:40:23,439
Speaker 1: received by the bottom while about ten percent was that

766
00:40:23,719 --> 00:40:26,239
Speaker 1: sat with the top one percent. That's in Europe. In

767
00:40:26,280 --> 00:40:30,799
Speaker 1: the United States, of the national wealth was going to

768
00:40:30,920 --> 00:40:33,560
Speaker 1: the top one percent while the bottom fifty was fighting

769
00:40:33,640 --> 00:40:36,520
Speaker 1: over twelve percent. So like, if you look on a graph, right,

770
00:40:36,800 --> 00:40:40,400
Speaker 1: that's what Western Europe looks like, where the bottom clearly

771
00:40:40,400 --> 00:40:42,720
Speaker 1: holds more of the wealth than the top one percent.

772
00:40:42,960 --> 00:40:45,640
Speaker 1: But if you look at America's it's been basically turning

773
00:40:45,640 --> 00:40:48,919
Speaker 1: into an inversion like an X over time, and then

774
00:40:48,960 --> 00:40:52,359
Speaker 1: around the mid nineties it basically all started flowing up

775
00:40:52,360 --> 00:40:56,120
Speaker 1: to the top, and it's in proportions that are like

776
00:40:56,160 --> 00:40:59,520
Speaker 1: because the thing so so this graph, uh, the thing

777
00:40:59,560 --> 00:41:03,200
Speaker 1: that it's hard to like you know, wrap your brain around,

778
00:41:03,320 --> 00:41:06,120
Speaker 1: is there are fifty times more people in the bottom

779
00:41:06,160 --> 00:41:09,400
Speaker 1: fifty percent than in the top one percent, Like these

780
00:41:09,440 --> 00:41:15,000
Speaker 1: lines shouldn't be comparable, No, not even remotely comparable. Yeah,

781
00:41:15,320 --> 00:41:18,080
Speaker 1: that's the disgusting part. Yeah, I mean they say that

782
00:41:18,320 --> 00:41:20,879
Speaker 1: a lot of the reasons that these like this this

783
00:41:21,040 --> 00:41:23,840
Speaker 1: income gap or this wealth gap created was through a

784
00:41:23,920 --> 00:41:27,240
Speaker 1: lack of access to higher education for low income people.

785
00:41:27,520 --> 00:41:30,360
Speaker 1: And then just these like totally nonprogressive tax cuts that

786
00:41:30,440 --> 00:41:33,160
Speaker 1: we have, while in like Europe they try and sort

787
00:41:33,200 --> 00:41:36,320
Speaker 1: of have more progressive tax laws. There. One thing that

788
00:41:36,360 --> 00:41:39,080
Speaker 1: you said earlier that that it's just like the parlance

789
00:41:39,160 --> 00:41:40,879
Speaker 1: of this is like when you say when you call

790
00:41:40,920 --> 00:41:44,200
Speaker 1: these people the one percent of earners, which is like

791
00:41:44,440 --> 00:41:47,920
Speaker 1: this is literally like people just getting stock money, like

792
00:41:48,200 --> 00:41:52,640
Speaker 1: as far from earning right as humanly possible. I mean

793
00:41:52,800 --> 00:41:54,680
Speaker 1: that you have to say earners because what to call

794
00:41:54,719 --> 00:41:58,520
Speaker 1: them but steelers sitting back and taking. Yeah, these are

795
00:41:58,520 --> 00:42:02,279
Speaker 1: the the taker. These are iron RAN's takers for you.

796
00:42:02,320 --> 00:42:05,960
Speaker 1: These are the leeches on fucking society. Uh. If anyone

797
00:42:06,000 --> 00:42:08,920
Speaker 1: wants to for sure get something into like MoMA or

798
00:42:08,920 --> 00:42:11,760
Speaker 1: an art gallery or something, try maybe a Louis Vuitton

799
00:42:11,920 --> 00:42:16,040
Speaker 1: branded guillotine. I'm pitching art pieces now for people someone

800
00:42:16,080 --> 00:42:18,120
Speaker 1: did that, actually, did they do it already? I feel

801
00:42:18,120 --> 00:42:21,400
Speaker 1: like Tom Sacks has done that. He had a channel guillotine,

802
00:42:21,440 --> 00:42:26,760
Speaker 1: I think, yeah, and that's arch corner with Miles Uh yeah.

803
00:42:26,840 --> 00:42:28,640
Speaker 1: But again, you know, but the economy is doing so great,

804
00:42:28,719 --> 00:42:30,359
Speaker 1: right because Trump's even be like, oh, the economy has

805
00:42:30,400 --> 00:42:34,239
Speaker 1: never been better, Like everybody's winning. But it's these millionaires

806
00:42:34,360 --> 00:42:37,320
Speaker 1: that are winning because you know, and I talk about

807
00:42:37,320 --> 00:42:39,880
Speaker 1: this all the time of just sort of how the

808
00:42:39,920 --> 00:42:43,400
Speaker 1: wages are stagnant and a lot of these tax breaks

809
00:42:43,400 --> 00:42:46,120
Speaker 1: have just been like especially the last one that happened

810
00:42:46,160 --> 00:42:48,160
Speaker 1: at the end of last year, all that money that

811
00:42:48,200 --> 00:42:50,480
Speaker 1: they said, oh, that's just gonna again the trickle down

812
00:42:50,560 --> 00:42:52,919
Speaker 1: ship is like they're saving all this money, it's gonna

813
00:42:52,960 --> 00:42:56,640
Speaker 1: come down to you. But there that's functionally done nothing

814
00:42:56,719 --> 00:43:00,000
Speaker 1: for the actual wages that the employees of these companies

815
00:43:00,080 --> 00:43:03,280
Speaker 1: that are generating all this revenue. It hasn't impacted their

816
00:43:03,360 --> 00:43:06,640
Speaker 1: wages at all because a lot of these savings have

817
00:43:06,760 --> 00:43:08,960
Speaker 1: just come in the form of sort of stock buy

818
00:43:09,000 --> 00:43:12,359
Speaker 1: backs where they're buying just basically up shares to help

819
00:43:12,480 --> 00:43:16,239
Speaker 1: increase the price of the existing shares by taking away

820
00:43:16,239 --> 00:43:18,400
Speaker 1: the supply. So people who have a lot of stock,

821
00:43:18,440 --> 00:43:20,640
Speaker 1: they're like, oh, well, now that that's become more valuable

822
00:43:20,920 --> 00:43:23,960
Speaker 1: or that's basically sort of just sharing some of the uh,

823
00:43:24,400 --> 00:43:27,319
Speaker 1: like rewarding investors by being like, oh, here you go,

824
00:43:27,600 --> 00:43:28,920
Speaker 1: like we'll buy the stock back and now you got

825
00:43:28,920 --> 00:43:30,920
Speaker 1: a little money. There's a return on your investment, Thank

826
00:43:30,960 --> 00:43:33,160
Speaker 1: you very much. But when you look at sort of

827
00:43:33,160 --> 00:43:36,200
Speaker 1: a lot of these companies that are massive employers in

828
00:43:36,239 --> 00:43:39,600
Speaker 1: this country, it's it's just it becomes I don't know,

829
00:43:39,800 --> 00:43:41,680
Speaker 1: it kind of put it all together for me when

830
00:43:41,719 --> 00:43:43,440
Speaker 1: you can kind of look at what it means in

831
00:43:43,560 --> 00:43:46,239
Speaker 1: terms of what they saved through a tax cut and

832
00:43:46,400 --> 00:43:49,960
Speaker 1: how those buy backs work. So like, for example, at McDonald's,

833
00:43:50,000 --> 00:43:52,560
Speaker 1: the media and pay is about like seven thousand dollars

834
00:43:52,600 --> 00:43:56,920
Speaker 1: because most people their their employees are hourly workers a year. Yeah, uh,

835
00:43:56,960 --> 00:44:00,239
Speaker 1: and they they did a buy back of one point

836
00:44:00,360 --> 00:44:03,520
Speaker 1: six billion dollars in stock in the first quarter of

837
00:44:03,560 --> 00:44:06,520
Speaker 1: this year alone. At Walmart, they have two point three

838
00:44:06,560 --> 00:44:10,160
Speaker 1: million workers. Half of those people made less than nineteen

839
00:44:10,200 --> 00:44:13,560
Speaker 1: thousand dollars a year, and Walmart launched the stock buyback

840
00:44:13,600 --> 00:44:16,920
Speaker 1: initiative to the tune of twenty billion dollars so they

841
00:44:16,920 --> 00:44:21,640
Speaker 1: could boost their stock prices. Uh, Chipotle, it's around thirteen thousand,

842
00:44:21,760 --> 00:44:24,640
Speaker 1: five hundred eighty two. Last year offered a hundred million

843
00:44:24,640 --> 00:44:27,000
Speaker 1: dollar stock buyback program, and then they did it again

844
00:44:27,120 --> 00:44:30,120
Speaker 1: this April. Young brands. We talked about Taco Bell a lot.

845
00:44:30,160 --> 00:44:31,480
Speaker 1: You know, I like Taco Bell, but you know, you

846
00:44:31,520 --> 00:44:34,680
Speaker 1: gotta fucking treat these workers right there. Their median yearly

847
00:44:34,719 --> 00:44:37,680
Speaker 1: wage around nine thousand, and then late last year offered

848
00:44:37,680 --> 00:44:40,359
Speaker 1: a one and a half billion dollar stock buyback program

849
00:44:40,400 --> 00:44:43,520
Speaker 1: and recently did another around five hundred million in buybacks

850
00:44:43,560 --> 00:44:46,239
Speaker 1: for the first quarter of this year. So when you

851
00:44:46,239 --> 00:44:48,719
Speaker 1: look at like what's going on, like they're showing a

852
00:44:48,760 --> 00:44:51,640
Speaker 1: lot of studies have shown a lot of these profits

853
00:44:51,719 --> 00:44:54,280
Speaker 1: or the revenue that they're they're they're these money savings

854
00:44:54,280 --> 00:44:56,680
Speaker 1: that they have. The cash on hand is just going

855
00:44:56,840 --> 00:45:00,120
Speaker 1: like six seventy percent is just going into stock buybacks,

856
00:45:00,120 --> 00:45:02,480
Speaker 1: not going into investment in their you know, their own

857
00:45:02,520 --> 00:45:05,799
Speaker 1: their workers to create a cycle of actual growth for

858
00:45:05,840 --> 00:45:09,520
Speaker 1: their company and their employees. So if you do the math,

859
00:45:10,239 --> 00:45:13,680
Speaker 1: for example, McDonald's took their stock buy backs and invested

860
00:45:13,719 --> 00:45:17,120
Speaker 1: it into their actual wages, all one point nine million

861
00:45:17,160 --> 00:45:19,560
Speaker 1: employees could have gotten a raise of at least four

862
00:45:19,600 --> 00:45:23,839
Speaker 1: thousand dollars annually. If Starbucks re allocated the money from

863
00:45:23,920 --> 00:45:28,799
Speaker 1: their repurchases, every worker would get a seven thousand dollar raise.

864
00:45:29,680 --> 00:45:32,879
Speaker 1: How about if Lows, CVS and Home Depot could rather

865
00:45:32,920 --> 00:45:35,040
Speaker 1: than doing buy backs and they put it right back

866
00:45:35,080 --> 00:45:38,400
Speaker 1: into their employees, their workers would get raises of at

867
00:45:38,480 --> 00:45:43,839
Speaker 1: least eighteen thousand dollars a fucking year, which is also like,

868
00:45:44,160 --> 00:45:48,200
Speaker 1: that is meaningful to millions of people in thousand dollars

869
00:45:48,239 --> 00:45:53,920
Speaker 1: a year, whereas a you know, billionaire having one billion

870
00:45:54,080 --> 00:45:59,000
Speaker 1: or one point one billion dollars, that's extremely meaningful to me. Well,

871
00:45:59,040 --> 00:46:01,200
Speaker 1: I know we all love, but it's embarrassing when you're

872
00:46:01,200 --> 00:46:04,880
Speaker 1: just one point zero billion dollars. Yeah. My question is,

873
00:46:05,560 --> 00:46:08,480
Speaker 1: though I agree with everything, how long are these workers

874
00:46:08,640 --> 00:46:11,680
Speaker 1: staying at the Are they there for the whole multiple years,

875
00:46:11,800 --> 00:46:15,040
Speaker 1: or are like, are some people there for two months

876
00:46:15,120 --> 00:46:17,680
Speaker 1: and then they're included in the medium wage for the year.

877
00:46:17,760 --> 00:46:19,279
Speaker 1: Do you know what I'm saying? I think, I mean

878
00:46:19,640 --> 00:46:22,719
Speaker 1: it's probably just based on I think it's probably people

879
00:46:22,719 --> 00:46:25,040
Speaker 1: who are actually working a year, or or if they

880
00:46:25,080 --> 00:46:29,440
Speaker 1: just extrapolate what they're paying then what that would have been. Yeah, Okay, okay,

881
00:46:29,480 --> 00:46:31,520
Speaker 1: and again whatever they would be like if you worked

882
00:46:31,520 --> 00:46:34,160
Speaker 1: at CVS and you've got eighteen tho dollars more year,

883
00:46:34,600 --> 00:46:39,920
Speaker 1: that that's actually that's rehabilitating the middle class or creating creating,

884
00:46:40,760 --> 00:46:44,080
Speaker 1: creating more upward mobility, because what is like the middle class,

885
00:46:44,080 --> 00:46:47,320
Speaker 1: like I mean, it's completely dwindled in these forty years.

886
00:46:47,360 --> 00:46:49,960
Speaker 1: But again half that would be so helpful for people

887
00:46:50,120 --> 00:46:53,440
Speaker 1: like yeah, I mean crazy that that's the difference between

888
00:46:53,480 --> 00:46:56,120
Speaker 1: like you know, especially if you've got children, I mean

889
00:46:56,280 --> 00:47:00,720
Speaker 1: that like kids, Yeah, you don't have kids, sharing bad whatever.

890
00:47:00,800 --> 00:47:03,359
Speaker 1: If you can pay for college, you can do so much,

891
00:47:03,520 --> 00:47:05,480
Speaker 1: you can save, you can get out of debt. I mean,

892
00:47:05,480 --> 00:47:07,640
Speaker 1: there's so much you can do. I mean, I think

893
00:47:07,640 --> 00:47:10,680
Speaker 1: a way to to that as I'm looking at what

894
00:47:10,719 --> 00:47:14,000
Speaker 1: you just like paraphrased on the page right now. It's

895
00:47:14,040 --> 00:47:16,239
Speaker 1: the fact that like when when I when I asked,

896
00:47:16,280 --> 00:47:19,680
Speaker 1: the clarification is like McDonald's medium pay seven thousand dollars,

897
00:47:19,719 --> 00:47:22,120
Speaker 1: and I was like per year because for a moment

898
00:47:22,160 --> 00:47:26,680
Speaker 1: I was like, I wonder, like a CEO makes closer

899
00:47:26,719 --> 00:47:31,080
Speaker 1: to that per hour, right, like that yearly that yearly aggregate,

900
00:47:31,120 --> 00:47:35,840
Speaker 1: your meeting medium wage is closer to that, Like you know,

901
00:47:35,920 --> 00:47:39,400
Speaker 1: three hundred sixty five thousand times or whatever, like it's

902
00:47:39,440 --> 00:47:45,040
Speaker 1: it's bonkers, Like, don't there's no need to do Like

903
00:47:45,320 --> 00:47:47,239
Speaker 1: that's the thing that the short sightedness of all the

904
00:47:47,280 --> 00:47:52,680
Speaker 1: billionaires is like, eventually this has to get evened out.

905
00:47:53,080 --> 00:47:55,560
Speaker 1: And like the you know, the thing that was supposed

906
00:47:55,560 --> 00:47:58,439
Speaker 1: to be good about democracy was that we can work

907
00:47:58,520 --> 00:48:03,000
Speaker 1: this out, you know, at the ballot box, as opposed

908
00:48:03,040 --> 00:48:05,640
Speaker 1: to you know, under the point of you know, at

909
00:48:05,640 --> 00:48:07,279
Speaker 1: the point at the at the down the barrel of

910
00:48:07,280 --> 00:48:12,880
Speaker 1: a gun. And they're really pushing this theory to the limit. Yeah,

911
00:48:12,960 --> 00:48:16,400
Speaker 1: because this is yeah, this is some ship that in

912
00:48:16,520 --> 00:48:20,440
Speaker 1: every other human society has been settled with violence. So yeah,

913
00:48:20,480 --> 00:48:23,160
Speaker 1: good luck dogs. I mean, we hungry, but dem belly full.

914
00:48:23,719 --> 00:48:25,520
Speaker 1: You know. I feel like you could really only go

915
00:48:25,640 --> 00:48:28,880
Speaker 1: so long where these policies people can only delude themselves

916
00:48:28,920 --> 00:48:32,319
Speaker 1: into thinking that they're benefiting from somehow these wealthy people

917
00:48:32,360 --> 00:48:35,400
Speaker 1: getting more tax breaks and giving more money away that

918
00:48:35,640 --> 00:48:39,919
Speaker 1: could go to our to our infrastructure, to anything else.

919
00:48:40,400 --> 00:48:44,000
Speaker 1: Although don't get us wrong, these things, this inequality can

920
00:48:44,000 --> 00:48:47,799
Speaker 1: still go over several human lifetimes. So I think it's

921
00:48:47,800 --> 00:48:49,440
Speaker 1: just that now, I mean, like I think it will

922
00:48:49,480 --> 00:48:51,560
Speaker 1: take a while, because in the US there's still I

923
00:48:51,560 --> 00:48:54,080
Speaker 1: feel like a lot of people do spend to try

924
00:48:54,160 --> 00:48:56,359
Speaker 1: and pretend they're not poor, you know what, I mean,

925
00:48:56,360 --> 00:48:59,400
Speaker 1: to outwardly project an image that they aren't struggling. Many

926
00:48:59,440 --> 00:49:02,640
Speaker 1: people are struggling, and when you look at the math

927
00:49:02,719 --> 00:49:05,160
Speaker 1: of it, the number of people, a lot of us

928
00:49:05,200 --> 00:49:07,880
Speaker 1: are still kind of playing ourselves that things could be

929
00:49:08,120 --> 00:49:11,319
Speaker 1: a lot fucking better. But for whatever reason, we buy

930
00:49:11,360 --> 00:49:13,800
Speaker 1: this sort of like, well, maybe I will be lucky

931
00:49:13,840 --> 00:49:16,560
Speaker 1: and become the next millionaire out of thin air or whatever,

932
00:49:16,640 --> 00:49:19,160
Speaker 1: because that's well, at least my taxes didn't go to

933
00:49:19,280 --> 00:49:22,719
Speaker 1: black people, right exactly. That's the that's the other part

934
00:49:22,800 --> 00:49:26,160
Speaker 1: that day think about it too. Well, guys, put your

935
00:49:26,600 --> 00:49:28,440
Speaker 1: you know, napkins in your shirt because we might have

936
00:49:28,440 --> 00:49:30,360
Speaker 1: to eat the rits pretty soon. Uh. And with that,

937
00:49:30,440 --> 00:49:44,080
Speaker 1: let's take a break and we are back. So let's

938
00:49:44,120 --> 00:49:49,280
Speaker 1: get into Papa John. Motherfucker. You thought he would go away.

939
00:49:49,560 --> 00:49:51,160
Speaker 1: He took the l of the century, he was booted

940
00:49:51,160 --> 00:49:52,680
Speaker 1: out of the company, but still was like trying to

941
00:49:52,719 --> 00:49:54,960
Speaker 1: take him to court and be like, I know I'm

942
00:49:55,000 --> 00:49:57,800
Speaker 1: the one who knows how to right this ship. Uh,

943
00:49:57,920 --> 00:50:00,840
Speaker 1: And he gave an interview with this Asociated Press. I

944
00:50:00,840 --> 00:50:02,520
Speaker 1: don't know why he thought that would be a good idea,

945
00:50:03,200 --> 00:50:06,120
Speaker 1: but he thinks that he can return to TV and

946
00:50:06,200 --> 00:50:10,759
Speaker 1: radio ads once the public understands the context of his comments,

947
00:50:11,239 --> 00:50:14,080
Speaker 1: Like he said, quote my persona resonates with the consumer

948
00:50:14,120 --> 00:50:17,799
Speaker 1: because it's authentic, it's genuine, and it's the truth. Then

949
00:50:17,840 --> 00:50:20,200
Speaker 1: he was just saying like a lot of like the

950
00:50:20,239 --> 00:50:22,880
Speaker 1: company can like blame the poor performance of the company

951
00:50:22,920 --> 00:50:25,600
Speaker 1: on his actions. He said, the company is actually suffering

952
00:50:25,640 --> 00:50:28,480
Speaker 1: because it moved away from its quote roots and made

953
00:50:28,480 --> 00:50:31,400
Speaker 1: too many marketing changes at once, like so he was

954
00:50:31,400 --> 00:50:34,240
Speaker 1: blaming like his disappearance from ads. Uh. He said, Papa

955
00:50:34,280 --> 00:50:37,640
Speaker 1: John stopped focusing on its better ingredients mantra and made

956
00:50:37,680 --> 00:50:40,759
Speaker 1: misguided changes like tweaking the red and green in the

957
00:50:40,840 --> 00:50:44,879
Speaker 1: logo to quote cater to the millennials. I don't know

958
00:50:45,000 --> 00:50:48,880
Speaker 1: why he hasn't just fully gone away. He has his money,

959
00:50:49,280 --> 00:50:51,799
Speaker 1: just leave. You don't realize you fucked this whole thing

960
00:50:51,840 --> 00:50:55,799
Speaker 1: up for yourself and your company is going down as

961
00:50:55,840 --> 00:50:57,840
Speaker 1: a result of your actions. So stop trying to blame

962
00:50:58,080 --> 00:51:00,719
Speaker 1: the color scheme of the pizza boxes. It's your use

963
00:51:00,760 --> 00:51:03,040
Speaker 1: of the word N word on calls and trying to

964
00:51:03,080 --> 00:51:05,600
Speaker 1: blame you know, fucking NFL players for kneeling on your

965
00:51:05,640 --> 00:51:08,319
Speaker 1: poor business. Yeah, well, I don't know. We're like this

966
00:51:08,440 --> 00:51:11,160
Speaker 1: close to an ad where he comes out. I really

967
00:51:11,160 --> 00:51:14,480
Speaker 1: want him to independently fund an ad where he's just

968
00:51:14,600 --> 00:51:17,279
Speaker 1: like says the N word several times and tries to

969
00:51:17,320 --> 00:51:20,520
Speaker 1: explained himself like please keep digging. He probably could, I

970
00:51:20,520 --> 00:51:22,359
Speaker 1: mean the whole thing of He's like, well, they just

971
00:51:22,400 --> 00:51:26,400
Speaker 1: need to understand the context of my comments. What just please?

972
00:51:26,640 --> 00:51:29,160
Speaker 1: I want to hear that please. I mean I'm willing

973
00:51:29,200 --> 00:51:31,799
Speaker 1: to and then you will, you know, send send your

974
00:51:31,840 --> 00:51:34,000
Speaker 1: company deeper down in a death spiral. Next week is

975
00:51:34,040 --> 00:51:38,160
Speaker 1: probably gonna be like Donald Trump endorses Papa John probably yeah,

976
00:51:38,200 --> 00:51:41,120
Speaker 1: I mean he'll probably run or something. I can't wait.

977
00:51:41,120 --> 00:51:44,080
Speaker 1: It makes him like head of food and Beverage or

978
00:51:44,120 --> 00:51:48,920
Speaker 1: something exactly. Yeah. So we're thinking of you to run

979
00:51:48,960 --> 00:51:52,080
Speaker 1: the f d A because your pizza gives people sends

980
00:51:52,120 --> 00:51:55,440
Speaker 1: them in a diabetic shock. I hate. I mean I

981
00:51:55,480 --> 00:51:58,520
Speaker 1: can't say enough how much I don't like the actual pizza.

982
00:51:58,719 --> 00:52:01,040
Speaker 1: It's not good, just not good. That's also another problem too.

983
00:52:01,080 --> 00:52:03,920
Speaker 1: They want to look into racist owner who sucked up

984
00:52:03,920 --> 00:52:06,319
Speaker 1: in public many times, and your pizza is not good.

985
00:52:06,440 --> 00:52:10,799
Speaker 1: It's the racism that makes the tastes extra sweet. That's

986
00:52:10,800 --> 00:52:14,319
Speaker 1: where the sweetness comes from. The racism. Oh well, you

987
00:52:14,360 --> 00:52:16,960
Speaker 1: know that's because you know, I think we're just in

988
00:52:16,960 --> 00:52:19,480
Speaker 1: a bad place in America right now. And that's why

989
00:52:19,480 --> 00:52:21,719
Speaker 1: a lot of studies have shown that American is also

990
00:52:21,880 --> 00:52:25,040
Speaker 1: drinking a lot more than we have been in the

991
00:52:25,080 --> 00:52:29,839
Speaker 1: past years. And consequently, we're also spending about twice as

992
00:52:29,960 --> 00:52:34,719
Speaker 1: much as we did last year on drunken late night purchases,

993
00:52:35,040 --> 00:52:39,240
Speaker 1: to the tune of thirty billion dollars or four fifty

994
00:52:39,239 --> 00:52:42,720
Speaker 1: dollars per person. Uh. This is according to a Finder

995
00:52:42,840 --> 00:52:46,000
Speaker 1: survey of two thousand people, UH, finding that about nearly

996
00:52:46,040 --> 00:52:48,920
Speaker 1: half of American adults who drink alcohol regularly admit to

997
00:52:48,960 --> 00:52:52,439
Speaker 1: making a purchase while under the influence. Do you guys

998
00:52:52,560 --> 00:52:58,120
Speaker 1: drunk shop ever online? Um? I have once accidentally, well

999
00:52:58,200 --> 00:53:02,120
Speaker 1: it wasn't accidentally. I got drunk purchase a bee hive,

1000
00:53:02,800 --> 00:53:05,520
Speaker 1: like a live bee hive. Yeah. But here's the thing,

1001
00:53:06,600 --> 00:53:10,560
Speaker 1: lead right, But what I love about it is the reviews,

1002
00:53:11,480 --> 00:53:14,160
Speaker 1: because I you know, in my sober light of day,

1003
00:53:14,160 --> 00:53:16,480
Speaker 1: I canceled the order. It's fine, Um, but I love

1004
00:53:16,520 --> 00:53:19,839
Speaker 1: I look back and I thought that the it had

1005
00:53:19,880 --> 00:53:22,560
Speaker 1: like three stars, and I want to know who's going

1006
00:53:22,600 --> 00:53:26,200
Speaker 1: on and being like I'm dissatisfied with my be purchased,

1007
00:53:27,080 --> 00:53:35,399
Speaker 1: you know, I mean, what the fuck their bees? Like? Also,

1008
00:53:35,600 --> 00:53:37,200
Speaker 1: what the funk? What the funk are you thinking when

1009
00:53:37,200 --> 00:53:39,839
Speaker 1: you're like I need to be high? I you know,

1010
00:53:40,480 --> 00:53:43,719
Speaker 1: I was living my best, my best. Maybe I wanted

1011
00:53:43,760 --> 00:53:46,920
Speaker 1: to save the bees, I thought in my drunken stupor

1012
00:53:47,040 --> 00:53:50,520
Speaker 1: maybe I will be the one person that can turn

1013
00:53:50,560 --> 00:53:53,440
Speaker 1: this ship around, you know, with my Amazon late night

1014
00:53:53,480 --> 00:53:56,759
Speaker 1: drunken person of a hive. The turnaround starts here. That

1015
00:53:56,920 --> 00:53:59,960
Speaker 1: rules so hard. We should all everyone listening to this

1016
00:54:00,080 --> 00:54:03,080
Speaker 1: right now buy some bees. That's how we don't buy

1017
00:54:03,160 --> 00:54:05,840
Speaker 1: any bees. I have a wild bee hive in my

1018
00:54:05,880 --> 00:54:08,680
Speaker 1: backyard and yeah, like the realtors will be like, yo,

1019
00:54:08,760 --> 00:54:10,040
Speaker 1: you might want to get rid of that or whatever.

1020
00:54:10,080 --> 00:54:12,680
Speaker 1: I'm like, yo, let the bees rock. I'm allergic to bees.

1021
00:54:13,200 --> 00:54:15,319
Speaker 1: Do you have a EpiPen? Like? But I'll like break

1022
00:54:15,320 --> 00:54:17,960
Speaker 1: out and hive then like get all gross. And so

1023
00:54:18,120 --> 00:54:19,680
Speaker 1: that's why I'm like, I don't know what the funk

1024
00:54:19,680 --> 00:54:23,560
Speaker 1: I would Yeah, you have a be allergy and you're like, yeah,

1025
00:54:23,560 --> 00:54:26,399
Speaker 1: I'm gonna embrace the hive. I don't know, I was very,

1026
00:54:26,520 --> 00:54:28,360
Speaker 1: very very I don't even remember doing it. I just

1027
00:54:28,440 --> 00:54:34,960
Speaker 1: saw oh cool, and what were you drinking? Was Jequila?

1028
00:54:35,360 --> 00:54:39,720
Speaker 1: Interesting because there was a i think a rehab institute

1029
00:54:39,760 --> 00:54:41,920
Speaker 1: that also kind of coincided with this study, and they

1030
00:54:42,040 --> 00:54:45,320
Speaker 1: kind of broke down the groups of like what alcohol

1031
00:54:45,400 --> 00:54:47,839
Speaker 1: you drink, like how that sort of coincided with how

1032
00:54:47,920 --> 00:54:52,040
Speaker 1: much you spend? So the most like the people who

1033
00:54:52,120 --> 00:54:56,080
Speaker 1: are real splurgeers are the gin drinkers apparently, who's spending

1034
00:54:56,120 --> 00:54:59,600
Speaker 1: average of more than eighty two dollars. Whiskey drinkers are

1035
00:54:59,680 --> 00:55:02,080
Speaker 1: the actu you, the most frugal group. Somehow they wound

1036
00:55:02,160 --> 00:55:05,560
Speaker 1: up spending only forty uh and beer beer drinkers, I

1037
00:55:05,600 --> 00:55:07,239
Speaker 1: think we're the only other group to spend less than

1038
00:55:07,360 --> 00:55:10,360
Speaker 1: forty where red and white wines about forty two and

1039
00:55:10,400 --> 00:55:13,320
Speaker 1: forty six respective, but everything is around forty except for

1040
00:55:13,680 --> 00:55:18,040
Speaker 1: ducking double. I'm surprised that wine drinkers not higher, because

1041
00:55:18,280 --> 00:55:20,120
Speaker 1: you know, there's many of times where you just like

1042
00:55:20,560 --> 00:55:24,160
Speaker 1: sit down, yeah, and you're like, all right, let's ready

1043
00:55:24,200 --> 00:55:26,239
Speaker 1: to go on this wild ride. Yeah, let's find some

1044
00:55:26,440 --> 00:55:30,520
Speaker 1: fucking I just need to be having some sandals whatever,

1045
00:55:31,440 --> 00:55:33,160
Speaker 1: be have and have a chip to you. Okay, that's

1046
00:55:33,239 --> 00:55:36,520
Speaker 1: oh my god. The house stuff works. Be be high

1047
00:55:36,800 --> 00:55:40,440
Speaker 1: indoor bee hive. But yeah, they're saying that. One of

1048
00:55:40,480 --> 00:55:42,799
Speaker 1: the interesting things was that the study found that people

1049
00:55:42,840 --> 00:55:45,520
Speaker 1: spent thirty percent more when shopping after midnight on a

1050
00:55:45,600 --> 00:55:48,680
Speaker 1: Friday versus on a Monday, and then by one am

1051
00:55:48,760 --> 00:55:53,120
Speaker 1: that jumps to So Friday night purchases of lingerie apparently

1052
00:55:53,800 --> 00:55:58,759
Speaker 1: averaged three hundred eight dollars um and that's a percent

1053
00:55:58,880 --> 00:56:00,719
Speaker 1: higher than they are on Monday night. So you know,

1054
00:56:01,200 --> 00:56:03,960
Speaker 1: sit down with your bottle of gin or whatever and

1055
00:56:04,320 --> 00:56:08,200
Speaker 1: buy you some some long as you're right. Some Asian

1056
00:56:08,280 --> 00:56:11,000
Speaker 1: provocateur or whatever the fuck is that was that high

1057
00:56:11,080 --> 00:56:13,120
Speaker 1: end ship. I wonder if it's just people drunk n

1058
00:56:13,160 --> 00:56:15,160
Speaker 1: off that are like, what if this gets here right now,

1059
00:56:16,000 --> 00:56:18,360
Speaker 1: right right right tight? I think usually that's what you

1060
00:56:18,480 --> 00:56:21,439
Speaker 1: think when you are drunk shopping is like that would

1061
00:56:21,440 --> 00:56:25,839
Speaker 1: be tight right now in this moment. Sunk up some beats? Yeah,

1062
00:56:26,040 --> 00:56:28,200
Speaker 1: are you going to suck them up? Some be I

1063
00:56:28,239 --> 00:56:30,759
Speaker 1: thought you wanted to save them. I don't know, you

1064
00:56:30,840 --> 00:56:34,440
Speaker 1: know what, I'm just going to eat them like, this

1065
00:56:34,640 --> 00:56:38,120
Speaker 1: is my bees, my snack. I'm hungry. Man. What if

1066
00:56:38,120 --> 00:56:41,040
Speaker 1: I had a couple of bees I hate, like I

1067
00:56:41,280 --> 00:56:46,640
Speaker 1: want them to th survive and I want the like

1068
00:56:46,680 --> 00:56:48,440
Speaker 1: all that ship great, but I don't want to be

1069
00:56:48,520 --> 00:56:51,160
Speaker 1: around them. So I was probably in a dark, dark

1070
00:56:51,280 --> 00:56:53,960
Speaker 1: dark clearly, yeah, you wanted to embrace the bee and

1071
00:56:54,360 --> 00:56:56,200
Speaker 1: to your own peril, and maybe it was like a

1072
00:56:56,400 --> 00:57:00,360
Speaker 1: pasive suicide. Oh well, hopefully you'll find some help, you know.

1073
00:57:00,920 --> 00:57:03,200
Speaker 1: Just stay away from the beast, stay away from the Amazon.

1074
00:57:04,040 --> 00:57:05,920
Speaker 1: Have you ever buy anything drunk, Andrew? You don't. You

1075
00:57:05,920 --> 00:57:08,279
Speaker 1: just don't strike me as someone who impulsively buys things

1076
00:57:08,320 --> 00:57:10,920
Speaker 1: on the internet drunk or sober. I impulsively buy stuff

1077
00:57:11,200 --> 00:57:14,400
Speaker 1: only because I am a terrible person and I have,

1078
00:57:15,080 --> 00:57:17,959
Speaker 1: uh my credit cards are I think you could probably

1079
00:57:17,960 --> 00:57:19,600
Speaker 1: figure out a different way to do it, but currently

1080
00:57:19,680 --> 00:57:21,880
Speaker 1: they just give you Amazon my cards, just give me

1081
00:57:21,920 --> 00:57:25,080
Speaker 1: Amazon points, and so you just give your money right

1082
00:57:25,080 --> 00:57:27,960
Speaker 1: back to master. Yeah it's terrible, but what I will

1083
00:57:28,040 --> 00:57:32,880
Speaker 1: do is just however many Amazon points I have spend

1084
00:57:33,000 --> 00:57:35,600
Speaker 1: those when I get like fucked up? So I have

1085
00:57:36,400 --> 00:57:39,120
Speaker 1: actually have my second pair I like, I have a

1086
00:57:39,200 --> 00:57:43,479
Speaker 1: pair of very cheap bluetooth headphones for the gym coming

1087
00:57:43,560 --> 00:57:46,280
Speaker 1: to me because I was like, I'm gonna need these. Wow,

1088
00:57:46,600 --> 00:57:49,320
Speaker 1: I can't remember the last I don't know. When I

1089
00:57:49,360 --> 00:57:51,480
Speaker 1: get drunk, I don't. My impulse isn't to go on

1090
00:57:51,520 --> 00:57:54,880
Speaker 1: the computer and shop really well the phones though, that's

1091
00:57:54,920 --> 00:57:56,960
Speaker 1: why where I do it. I'm like, oh, you know,

1092
00:57:57,040 --> 00:57:59,040
Speaker 1: it's weird. I hate buying ship on my phone, Like,

1093
00:57:59,080 --> 00:58:02,080
Speaker 1: I don't trust it for as I can't see it properly.

1094
00:58:02,320 --> 00:58:04,960
Speaker 1: You need to have a big screen brought out. Yeah,

1095
00:58:05,080 --> 00:58:07,240
Speaker 1: it's weird. That's the one part I can't like. Every time.

1096
00:58:07,280 --> 00:58:08,960
Speaker 1: I'm like, well I see it on here. But I

1097
00:58:09,000 --> 00:58:11,160
Speaker 1: will do it when I get to a traditional computer.

1098
00:58:12,000 --> 00:58:15,120
Speaker 1: And that's how I that's my financial tip for y'all

1099
00:58:15,240 --> 00:58:17,919
Speaker 1: for the day. Put your phone down only don't trust

1100
00:58:17,960 --> 00:58:21,560
Speaker 1: your phone. Yeah, exactly, don't trust your phone. It's not happening. Well,

1101
00:58:21,840 --> 00:58:25,680
Speaker 1: everyone has been a pleasure having you, I mean, Chelsea,

1102
00:58:25,760 --> 00:58:27,680
Speaker 1: Please tell people like where they can find you, where

1103
00:58:27,680 --> 00:58:29,360
Speaker 1: they can embrace your work, where they can you know,

1104
00:58:29,520 --> 00:58:32,000
Speaker 1: follow you on social media. Um, you can find me

1105
00:58:32,080 --> 00:58:34,720
Speaker 1: on Instagram at Chelsea Frank. You can find me on

1106
00:58:35,120 --> 00:58:38,400
Speaker 1: Twitter at Chelsea s as in Sarah Frank and I

1107
00:58:38,480 --> 00:58:41,560
Speaker 1: got all the good ones. Um, and that's about it.

1108
00:58:41,920 --> 00:58:45,360
Speaker 1: You can yeah, hit me up and I'll show you

1109
00:58:45,480 --> 00:58:48,720
Speaker 1: some good hot links to the bees and and good

1110
00:58:48,760 --> 00:58:52,120
Speaker 1: food probably good food, good drinks, all the good stuff,

1111
00:58:52,200 --> 00:58:56,920
Speaker 1: travel stuff ls. Um. I just got back from Canada.

1112
00:58:57,760 --> 00:59:00,320
Speaker 1: Shout out to Canada, Shout out to Canada. I almost

1113
00:59:00,320 --> 00:59:03,040
Speaker 1: stay to flee the Nazis. But you know, how do you? Um?

1114
00:59:03,240 --> 00:59:06,880
Speaker 1: I went to Gimli, Manitoba, which honestly sounds like a

1115
00:59:06,920 --> 00:59:09,520
Speaker 1: Star Wars character. Yes, um, but yeah, it was where

1116
00:59:09,520 --> 00:59:11,400
Speaker 1: the Crown Royal Distillery was and it was super cool.

1117
00:59:12,120 --> 00:59:15,440
Speaker 1: Nice got to the distillery. Um, what did they give

1118
00:59:15,440 --> 00:59:17,840
Speaker 1: you a bag? Like a big velvet bag? Velvet bag?

1119
00:59:18,040 --> 00:59:20,640
Speaker 1: They gave me a duffel bag with my name on it.

1120
00:59:21,240 --> 00:59:23,720
Speaker 1: It was gray and purple. Oh, I love the Crown

1121
00:59:23,800 --> 00:59:27,120
Speaker 1: Royal bag. That's the first bag you stow your drugs in.

1122
00:59:27,160 --> 00:59:30,560
Speaker 1: A Yeah, I feel like Asian people love just keeping

1123
00:59:30,640 --> 00:59:33,000
Speaker 1: it around for dick knacks. Oh yeah, my mom think

1124
00:59:33,040 --> 00:59:35,240
Speaker 1: my mom has like pens in her and like I

1125
00:59:35,320 --> 00:59:36,800
Speaker 1: still and I was like, man, a pipe gonna go

1126
00:59:36,880 --> 00:59:39,440
Speaker 1: here in my grinder and then yeah, I mean I'm

1127
00:59:39,440 --> 00:59:43,280
Speaker 1: heading to Petrone I'm going to Guadalajara. I'm gonna go

1128
00:59:43,400 --> 00:59:46,400
Speaker 1: stip on that patron life and order some more ship online, okay,

1129
00:59:46,800 --> 00:59:50,640
Speaker 1: and then I'm going to bally So another trip. This

1130
00:59:50,760 --> 00:59:53,960
Speaker 1: is just from through through your writing. Man, it's the

1131
00:59:54,440 --> 00:59:57,320
Speaker 1: scam of all time. I know, I like a scam. Yeah,

1132
00:59:57,560 --> 00:59:59,480
Speaker 1: well it's it's really fun. So follow me if you

1133
00:59:59,520 --> 01:00:02,280
Speaker 1: want to see my travel photos. And Chelsea, is there

1134
01:00:02,320 --> 01:00:05,200
Speaker 1: a tweet that you're enjoying that you'd like to some

1135
01:00:05,400 --> 01:00:08,000
Speaker 1: show some love? All right? Gotta plug the boo um

1136
01:00:08,600 --> 01:00:12,440
Speaker 1: because I want to have sex later. The only way

1137
01:00:12,480 --> 01:00:14,840
Speaker 1: that's going to happen. Yeah, he'll he'll be like you

1138
01:00:14,960 --> 01:00:21,480
Speaker 1: plugged me? Okay. Finally Dick authorized Okay. So at premassam

1139
01:00:21,720 --> 01:00:24,640
Speaker 1: on Twitter, Wait, what do you mean Jesus loves me?

1140
01:00:24,800 --> 01:00:26,480
Speaker 1: Did he say something to you? Oh my god, I'm

1141
01:00:26,520 --> 01:00:30,480
Speaker 1: freaking out right now. Tell me his exact words. Jesus

1142
01:00:30,720 --> 01:00:34,120
Speaker 1: loves me? This I know? Uh? Andrew, what about you?

1143
01:00:34,160 --> 01:00:38,080
Speaker 1: Where can people find you? Andrew T? The last name

1144
01:00:38,160 --> 01:00:41,120
Speaker 1: is spelled t. I um, you know? Is this racist?

1145
01:00:41,240 --> 01:00:44,280
Speaker 1: Is my podcast? And if you're a fan and you

1146
01:00:44,440 --> 01:00:49,840
Speaker 1: live in the metro Detroit area. August ten in Ferndale,

1147
01:00:50,200 --> 01:00:53,360
Speaker 1: place called Go Comedy. It's a little early six pm,

1148
01:00:53,440 --> 01:00:57,360
Speaker 1: but we're doing the podcast live part of Detroit Improv Festival,

1149
01:00:57,440 --> 01:01:01,040
Speaker 1: So please please buy some tickets now because trying to

1150
01:01:01,040 --> 01:01:04,040
Speaker 1: saw that shot out. Yeah go Michigan Zigang go support.

1151
01:01:04,240 --> 01:01:06,280
Speaker 1: You know, if you're from the hand and just love

1152
01:01:06,400 --> 01:01:07,959
Speaker 1: or whatever, you'll just go. We know you're not working

1153
01:01:08,000 --> 01:01:10,320
Speaker 1: at six pm out of Friday. Come on, no, I

1154
01:01:10,400 --> 01:01:12,360
Speaker 1: mean you might be, but no, you're not. Not. If

1155
01:01:12,360 --> 01:01:14,640
Speaker 1: you're about to pull up to a live podcasting taping,

1156
01:01:14,760 --> 01:01:16,960
Speaker 1: it'll be good. Well, we got great guests please seriously

1157
01:01:17,200 --> 01:01:20,120
Speaker 1: if you like, can tell Yeah, we got Eugene Cordero,

1158
01:01:20,160 --> 01:01:21,960
Speaker 1: Paul Off Tompkins is going to be there and they're

1159
01:01:21,960 --> 01:01:24,160
Speaker 1: working on a couple more. But because Eugene is from

1160
01:01:24,200 --> 01:01:27,120
Speaker 1: Michigan too, right, yeah, yeah, yeah. He's one of my

1161
01:01:27,160 --> 01:01:30,160
Speaker 1: first improv teachers and he was always like, hey, man,

1162
01:01:30,160 --> 01:01:31,640
Speaker 1: you should really stay in the theater because we need

1163
01:01:31,680 --> 01:01:35,480
Speaker 1: more Asian people like I need a job in provn

1164
01:01:35,520 --> 01:01:38,440
Speaker 1: all day, Andrew, it's a tweet that you're liking. This

1165
01:01:38,640 --> 01:01:42,080
Speaker 1: is uh from previous guest of this show and guests

1166
01:01:42,080 --> 01:01:45,520
Speaker 1: on my podcast, Molly Lambert a couple of days ago

1167
01:01:45,640 --> 01:01:47,800
Speaker 1: wrote I hope I get banned for saying I hope

1168
01:01:47,880 --> 01:01:52,080
Speaker 1: cryptids fuck racists. The death this was this was after

1169
01:01:52,200 --> 01:01:55,120
Speaker 1: that that racist got caught with all that big foot form.

1170
01:01:55,360 --> 01:02:00,440
Speaker 1: Yeah yeah that was weird. Ye the drawings so the

1171
01:02:00,760 --> 01:02:03,680
Speaker 1: you that was fine. Oh, they were like it was

1172
01:02:03,720 --> 01:02:06,920
Speaker 1: like ripped big foot was just a big dangling penis.

1173
01:02:07,360 --> 01:02:10,000
Speaker 1: That's how I imaged. I always MEAs at him having

1174
01:02:10,160 --> 01:02:12,800
Speaker 1: a weird non penis. I guess, like a gorilla or

1175
01:02:12,880 --> 01:02:18,360
Speaker 1: like a shape of water monster penis. She yeah, like yeah,

1176
01:02:18,720 --> 01:02:22,920
Speaker 1: and and like screams a tweet I'm liking comes from Yes,

1177
01:02:22,960 --> 01:02:25,680
Speaker 1: you got a tweet? Oh, thank you so much. Yes,

1178
01:02:26,120 --> 01:02:29,480
Speaker 1: Alyssa Limp paris at Alissa Limp tweet a video. They

1179
01:02:29,520 --> 01:02:32,760
Speaker 1: were like pictures of like a Milania Trump in her

1180
01:02:32,840 --> 01:02:36,000
Speaker 1: like vegetable garden that kind of went viral where she

1181
01:02:36,160 --> 01:02:39,280
Speaker 1: just looks so overly posed or whatever. And there's like

1182
01:02:39,320 --> 01:02:41,160
Speaker 1: this one shot of her with glasses on and a

1183
01:02:41,280 --> 01:02:44,160
Speaker 1: flannel because that's how you know when you're working class. Uh,

1184
01:02:44,480 --> 01:02:47,240
Speaker 1: and she's like she's doing this like contorted pose where

1185
01:02:47,280 --> 01:02:49,400
Speaker 1: she's like looks like she's placing something in a basket,

1186
01:02:49,520 --> 01:02:52,440
Speaker 1: but it's so unnatural of the photo and then her

1187
01:02:52,480 --> 01:02:55,160
Speaker 1: caption is me making sure that Barista sees me put

1188
01:02:55,240 --> 01:02:57,880
Speaker 1: money in the tip jar, because you know that's important,

1189
01:02:58,600 --> 01:03:00,440
Speaker 1: all right. Well, you can find me on Twitter and

1190
01:03:00,560 --> 01:03:04,160
Speaker 1: Instagram at Miles of Gray. You can find us at

1191
01:03:04,280 --> 01:03:07,200
Speaker 1: Daily Seics on Twitter, at the Daily Seis on Instagram.

1192
01:03:07,280 --> 01:03:10,040
Speaker 1: We have a Facebook page if you want to look

1193
01:03:10,080 --> 01:03:11,800
Speaker 1: at that kind of stuff. We also have a website

1194
01:03:11,880 --> 01:03:14,160
Speaker 1: Daily site guys dot com where you can find show

1195
01:03:14,280 --> 01:03:18,560
Speaker 1: links and our footnote there you go, as well as

1196
01:03:18,800 --> 01:03:20,480
Speaker 1: a link to the songs that we're going to write

1197
01:03:20,520 --> 01:03:24,840
Speaker 1: out on today and today I'm feeling like the song

1198
01:03:25,120 --> 01:03:26,840
Speaker 1: I heard on the way in today is by this

1199
01:03:26,960 --> 01:03:29,840
Speaker 1: artist named Shon Doe but it's spelled g A N

1200
01:03:30,240 --> 01:03:32,840
Speaker 1: d e a u X very very European and the

1201
01:03:32,880 --> 01:03:37,200
Speaker 1: song is called Wikipedia. So check for out very dope track. Uh.

1202
01:03:37,280 --> 01:03:39,600
Speaker 1: And with that we will see you guys tomorrow. Why

1203
01:03:39,680 --> 01:04:22,840
Speaker 1: not because it's the Daily Show Later. Every Body looking

1204
01:04:22,960 --> 01:04:26,120
Speaker 1: staying stuff and talking about bin in the north of

1205
01:04:26,680 --> 01:04:30,200
Speaker 1: the steam confect to be a flowing to put the

1206
01:04:30,360 --> 01:04:35,520
Speaker 1: right away up my meeting more competent. If you put

1207
01:04:35,560 --> 01:04:38,240
Speaker 1: it like constance, I can look in my back in

1208
01:04:38,360 --> 01:04:42,720
Speaker 1: the north. If the gonna steam to beat a flowery

1209
01:04:43,440 --> 01:04:49,080
Speaker 1: head up in my media. Tage to my competia, P

1210
01:04:49,360 --> 01:04:57,640
Speaker 1: says not no, it's bad to be like no no

1211
01:04:59,240 --> 01:05:13,200
Speaker 1: day uh huh. They don't know one thing on brother,

1212
01:05:14,120 --> 01:05:17,480
Speaker 1: Oh no, somebody at the joy. You know how she

1213
01:05:17,640 --> 01:05:20,200
Speaker 1: got the colder body because she do the book. I

1214
01:05:20,320 --> 01:05:23,520
Speaker 1: know I've seen him before her through the great spines,

1215
01:05:23,640 --> 01:05:26,760
Speaker 1: but through the phone lines calling for the full time.

1216
01:05:27,320 --> 01:05:29,240
Speaker 1: Know you ain't seen here because I put the door

1217
01:05:29,360 --> 01:05:32,200
Speaker 1: for barter moll she in the wins out. They put

1218
01:05:32,240 --> 01:05:35,320
Speaker 1: it out like through out comes, beIN in fine, being

1219
01:05:35,400 --> 01:05:38,760
Speaker 1: in minds without won't kill the messenger, just put it

1220
01:05:38,840 --> 01:05:42,520
Speaker 1: for you out ever I bought it looking staying stuff

1221
01:05:42,560 --> 01:05:45,000
Speaker 1: and talking about how I did through the north of

1222
01:05:45,600 --> 01:05:49,840
Speaker 1: little Skin. They just bearfouway to put it right away

1223
01:05:50,360 --> 01:05:55,360
Speaker 1: up my meeting. She competing and feel like the stance.

1224
01:05:55,440 --> 01:05:58,400
Speaker 1: I can talking my bag in the north of the

1225
01:05:58,560 --> 01:06:03,640
Speaker 1: color spin to cople to a flou lad away up

1226
01:06:03,680 --> 01:06:23,360
Speaker 1: in my media changing my Wikipedia, m m m m

1227
01:06:26,000 --> 01:06:35,480
Speaker 1: m cat it look as said so I can talk

1228
01:06:35,560 --> 01:06:40,520
Speaker 1: am about into the hold speed makes a pet of

1229
01:06:40,600 --> 01:06:43,960
Speaker 1: flower and to put it right away on my media.

1230
01:06:44,520 --> 01:06:48,000
Speaker 1: My Wikipedia have a long cord it like a stands.

1231
01:06:48,040 --> 01:06:50,760
Speaker 1: I can talk in my back in the ll of

1232
01:06:51,120 --> 01:06:56,240
Speaker 1: coll the spedium, my compet to, data flowering, myday up,

1233
01:06:56,440 --> 01:06:58,720
Speaker 1: my media changing, my Wikipedia