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Speaker 1: Hello the Internet, and welcome to season fifty two, Episode

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Speaker 1: two of Daily's Night Guy Yeah or two October nine,

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Speaker 1: two thousand eight. Team, my name's Jack O'Brian a k

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Speaker 1: fair Jack uh fair Jack oh brian o brian Yah.

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Speaker 1: That aks courtesy of at Miles of Gray. Thank you

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Speaker 1: who I said? Oh man, I didn't come up with

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Speaker 1: an AKA today and he was like, I don't know

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Speaker 1: Sproducer Nick was like, just jam any old word and anything.

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Speaker 1: Someone doesn't matter. You guys aren't even trying anymore. And

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Speaker 1: Miles came up with that on the spot boom very

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Speaker 1: talented and also yes, our standards tab drops in air.

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Speaker 1: One year on air, and I'm thrilled to be joined

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Speaker 1: as always by my co host, Mr Miles Bray. Birthday

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Speaker 1: to us, Happy birthday to us, Happy birthday to the

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Speaker 1: Daily's Akays because now we are one years old. Drop

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Speaker 1: the fucking bomb. Yes, it has been one year and

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Speaker 1: we realized that where I realized that as I was

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Speaker 1: recording the introduction, just you're not good with must I

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Speaker 1: am not good with milestone and hand, I asked my wife,

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Speaker 1: am I writing wow? Okay? And we are thrilled to

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Speaker 1: be joined that night blurred seat by a hilarious comedian, performer, writer, producer,

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Speaker 1: creative executive and host of the Kind of Dating podcast,

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Speaker 1: Natasha Chandel. Happy, thanks, thank you so much. Don't look

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Speaker 1: at day over eight. Thank you, thanks than or sounded.

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Speaker 1: Just look a little bit closer, watch me smile. The

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Speaker 1: lines will come out. Um, what did you get us

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Speaker 1: for our birthday? I gave I gave you love. Thank you.

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Speaker 1: That's right, Okay, that is what we ask. Um. My

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Speaker 1: love language is gifts. So anyway we can talk about that. Yeah,

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Speaker 1: I'll get I just didn't want to, you know, Ruin.

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Speaker 1: I'll take it if you have, even if you have

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Speaker 1: like a half new Starbucks gift card in your wallet,

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Speaker 1: and I'll take that. Give up my starbreck are not kind.

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Speaker 1: But I have some lip glass. That is it lip glass?

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Speaker 1: Because that's the only thing I like. It's strawberry, isn't

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Speaker 1: that mac Remember that lip glass? Anybody anybody else? It's

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Speaker 1: not really good. But then when you ate it, it it

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Speaker 1: wasn't all that was juicy tubes. Okay, juicy tubes had

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Speaker 1: the fucking flavors I remember lip glass. Just look anyway,

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Speaker 1: don't worry about me. Anyways, Today's episode is going to

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Speaker 1: be just a retrospective of the last year. No, that's

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Speaker 1: not the case, because I had no idea it was

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Speaker 1: our one year anniversary. So instead, Uh, Natasha, We're going

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Speaker 1: to get to know you even better in a moment.

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Speaker 1: But first, we're gonna tell our listeners what we're talking about,

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Speaker 1: and it's just an average, everyday, ordinary show. We're gonna

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Speaker 1: talk about the latest traffic rankings on the entire Internet.

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Speaker 1: We're gonna talk about Kanye what he's up to, So

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Speaker 1: it is kind of a retrospective because that's what we've

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Speaker 1: been talking about all year. We're gonna talk about the

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Speaker 1: weekend box office, Big weekend at the boh Bafo b

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Speaker 1: oh as Uh the kids say. We're gonna talk about

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Speaker 1: dogs the cats. There is a new scientific study on this.

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Speaker 1: We're gonna talk about Taylor Swift, she has finally chosen

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Speaker 1: a side. We're gonna talk about the gender gap when

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Speaker 1: it comes to party support in the latest polls. We're

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Speaker 1: gonna talk about banks E going full Banksy on a

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Speaker 1: Banksy Uh good headline for Miles there and all of

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Speaker 1: that and more. But first, Natasha, what is something from

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

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Speaker 1: Uh So, I actually just looked yesterday night to prep

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Speaker 1: for today, but it was, um, it was breast pain, guys.

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Speaker 1: And this is not because I have anything, but I

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Speaker 1: was like, this is a common female issue and I

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Speaker 1: know that you guys are so interested in it, but

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Speaker 1: but people's like breasts are asymmetrical, and it makes me

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Speaker 1: really really paranoid, even though I know nothing is wrong,

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Speaker 1: but I'm constantly freaking out about it. And so and

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Speaker 1: it's like not much, it's just like a tiny, tiny amount,

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Speaker 1: but it freaks me out. Yeah, Like like one day

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Speaker 1: I'll wake up and it feels like one looks slightly bigger,

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Speaker 1: and then I just get like psycho about it and

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Speaker 1: I google it and and like every doctor is like

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Speaker 1: of women have asymmetrical breast but it just it just

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Speaker 1: no matter what, you get paranoid because of breast cancer,

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Speaker 1: fears a breast cancer, and it's always like, well one

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Speaker 1: will look off and you're like, funk is that what

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Speaker 1: this means? As right? Yeah, but but I think I'm safe.

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Speaker 1: So that was think it's very normal, and especially once

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Speaker 1: breastfeeding comes into the picture. Man, those things go on

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Speaker 1: there you crazy directions I know you're not there there,

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Speaker 1: but I'm just saying it's a has happened to you.

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Speaker 1: I am expressing right now through my shirt. I have

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Speaker 1: to let down, Yeah, let down the thing? Are you

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Speaker 1: about even numbers in general? Like? Do you like even

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Speaker 1: numbers over odd numbers? Are you just about symmetry and

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Speaker 1: balance in every dimension of your life? A balance for sure,

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Speaker 1: Maybe not symmetry, but but balance. But I guess I

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Speaker 1: would prefer an even number. I haven't really overthought that.

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Speaker 1: I overthink that as a kid. I was like one

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Speaker 1: of my O C D things like staying away from

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Speaker 1: I was like, oh, you know what, I like things

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Speaker 1: that go right down the middle. I will reveal something

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Speaker 1: extremely weird. Guys, I don't know why I'm doing this place,

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Speaker 1: Like you know when you walk on cracks in the street,

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Speaker 1: Like if my right yeah, but if my right foot

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Speaker 1: steps on a crack, I have to on the next

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Speaker 1: one be my left it so will you symmetry? Will

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Speaker 1: your gate chanck? Yeah? Yeah? It does. Like I slowed

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Speaker 1: down my pace to be like the left. Now. I

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Speaker 1: do weird stuff like that with sidewalks too, Like in

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Speaker 1: terms of I usually like to hit the same foot

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Speaker 1: with the thing. But okay, so at least we'll go

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Speaker 1: get lunch and Jack will be like, we'll get to

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Speaker 1: our building and he'll be like, hey, I'll be right

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Speaker 1: back and redo the path. And I'm right, I have

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Speaker 1: to walk around the black three times. Get off the block, right, Miles,

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Speaker 1: Are you asymmetrical at all? Because I've talked before about

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Speaker 1: how I kept my backpack on my right shoulder when

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Speaker 1: I was a kid and then like one day looked

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Speaker 1: in the mirror and like I had muscles of my

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Speaker 1: body like I'm very right side dominant, very much so

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Speaker 1: like basketball man, if you want to defend me, force

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Speaker 1: me to my left, Yeah, I mean, I'll do it.

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Speaker 1: Do not tell the Kavanaugh girls we are nat We're

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Speaker 1: playing the Kavanaugh girls in a game of two on two.

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Speaker 1: Hopefully get her father to resign. He'll see how that

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Speaker 1: ship about how good a basketball coach he is. But

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Speaker 1: to show them what's what? How do you define a crack? Though?

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Speaker 1: Are you talking about like can it be like we're

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Speaker 1: too cement pavers have men? What mean? Yeah, I don't

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Speaker 1: mean like a random crack. But if you're like on

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Speaker 1: some like old European cobblestone street, are you like sea walking.

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Speaker 1: I'm okay with like just too much. But but if

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Speaker 1: it's just like regular pavement and they're just those regular

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Speaker 1: cracks and then organic cracks from the heat or whatever

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Speaker 1: do not count. No, No, those don't count. I don't know.

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Speaker 1: Something makes you feel that my foot and then I

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Speaker 1: feel off. I don't know. There's something about the human

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Speaker 1: mind that I think just craves that sort of I

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Speaker 1: don't know, like because we see patterns and then we

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Speaker 1: want to engage in them. Yeah, but yeah, I look

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Speaker 1: like I'm running tires when I'm walking down the street.

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Speaker 1: I'm just like, uh, never have him get coffee. It's

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Speaker 1: a mess. I just come back drenched in coffee. Natasha,

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Speaker 1: what is something you think is overrated? Marriage? Hey, sorry

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Speaker 1: to the married one. Here's my thing. I don't believe

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Speaker 1: that other people shouldn't get married. I find it overrated

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Speaker 1: form my like then for people to define their life

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Speaker 1: out of marriage or to say that that, like, especially

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Speaker 1: for girls. You know, we're trained when we're young it's

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Speaker 1: like I'm gonna get married and I'm gonna have kids,

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Speaker 1: And I'm like, what does that even mean? So now

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Speaker 1: I tell people, I'm like, I'll get married if I

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Speaker 1: find the right person, I'll have kids if I feel

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Speaker 1: like it's the right partner. But I'm not going to

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Speaker 1: like just go out there on a track to get

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Speaker 1: get married. But my dad always held me every time

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Speaker 1: I go home. He like, last time I went back

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Speaker 1: to Torontomy, stat me down to say, okay, I think

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Speaker 1: it's time you need to get Maddie. And I'm like,

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Speaker 1: what does that mean? He's like, just get Maddie looking

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Speaker 1: out the windows. Let's see. How about did I just

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Speaker 1: completely misunderstand? How does that one older brother who's married,

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Speaker 1: he's like, the right, he did everything he did all right?

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Speaker 1: Yeah he's married, had a baby engineer. Yeah she's a

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Speaker 1: physical therapist. They did it in their twenties, right right,

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Speaker 1: right now, just somebody that your dad picked off the

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Speaker 1: street for him. And he was he was like, hey,

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Speaker 1: get married or you know what, you know what I

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Speaker 1: do point out the window. Whoever this figure is the

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Speaker 1: right one for him? Did you have a Was there

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Speaker 1: a lot of pressure to achieve in your family? Like

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Speaker 1: is there like you know, do your parents say like, oh,

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Speaker 1: you know, Natasha is out there in l A doing whatever.

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Speaker 1: I Meanwhile, our good son was married yea, you know,

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Speaker 1: you know it's funny. It's like, academically, I was the overachiever.

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Speaker 1: I was always like the honors kid. I started school

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Speaker 1: at three instead of four. I was a year ahead.

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Speaker 1: I was like academically, but then in life, I think

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Speaker 1: I'm their child that they wish achieved. And by that

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Speaker 1: I just mean like the milestones of like, right, fine,

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Speaker 1: you know you can be happy now now that's funny.

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Speaker 1: Yeah that's true. But now my mom is also like

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Speaker 1: because we just had I had my first nephew, and

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Speaker 1: so they're just on. My mom called me the other

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Speaker 1: day to just say, I think you should have a kid, right, yeah,

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Speaker 1: my mom. For the first I think I think that

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Speaker 1: your parents and yeah, I think your parents are probably

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Speaker 1: just more honest about how they feel because my parents

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Speaker 1: were just like whatever you want, like we don't care.

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Speaker 1: But once we had kids, like the look on their face,

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Speaker 1: like they just I was like, oh, I didn't know

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Speaker 1: you guys went this happy, Like I didn't know you

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Speaker 1: were just constantly over exactly it's totally true. Like I

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Speaker 1: was like, oh, so it was really stressful when we

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Speaker 1: weren't having kids, like right away, yeah, damn, wait, so

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Speaker 1: did you're both your parents just like melt down, really

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Speaker 1: so happy. They do they do get that. My parents

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Speaker 1: are so elated now, yeah, I get it all right. Kids. Man,

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Speaker 1: we're sucking up, you know because guess what, I'm happy?

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Speaker 1: You know what I mean about self care? Like I

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Speaker 1: did this weekend, Miles, what did you do? What did

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Speaker 1: you do for self care? Because we were talking ahead

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Speaker 1: of the weekend, we were like, man, we need to

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Speaker 1: just like decompress. Yeah, the the Kavanat thing for us,

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Speaker 1: you know, the ze gang. They get to digest the

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Speaker 1: finished product of us just being so engaged with the

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Speaker 1: news and then having a good time with it, going

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Speaker 1: through everything from that hearing to just watching just the

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Speaker 1: whole democracy, representative democracy just crumbled kind of in front

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Speaker 1: of our faces. Was a little trying. So guess what

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Speaker 1: this weekend, I ate so much just to feel good

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Speaker 1: because that's that's how I take care of myself. That's

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Speaker 1: how I treat myself. Some people like shop, others lift weights.

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Speaker 1: I eat garlic bread, okay, and I ate a whole

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Speaker 1: loaf of garlic bread from the smoke house in Burbank.

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Speaker 1: What's up? If you're listening to this, you probably don't

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Speaker 1: because everybody works there is eighty three years old. But

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Speaker 1: I made a whole loaf of garlic bread, French tip sandwich,

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Speaker 1: mashed potatoes and gravy for my dinner Friday. Then Saturday

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Speaker 1: I had basically an entire French baguette worth of sandwich,

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Speaker 1: but tuna and turkey on armed croissant. Uh. Then I

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Speaker 1: had some more fungo, you know, shout out to all

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Speaker 1: the bodique out there, all the Puerto Rican people have

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Speaker 1: some mofungo, has some pa had two slice of threads,

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Speaker 1: that's just cake, two cans of one thing like passion

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Speaker 1: fruit juice. You sound like my whole week. Yo. Then

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Speaker 1: yet then on Sunday, Uh, I had to have so

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Speaker 1: many hot wings. Shout out to wingstop holding it down,

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Speaker 1: forty pieces all flat, lemon pepper, voodoo fries. Let's go.

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Speaker 1: And now I'm back to That's how I feel. And

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Speaker 1: now I'm a little bit more re energized and did

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Speaker 1: the right thing. That was a very carb heavy thing. Yeah,

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Speaker 1: there has to be some connection between that and like

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Speaker 1: our brain chemistry, right, I think it is. I think

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Speaker 1: it's like carbs are sugar and so spikes your sugar.

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Speaker 1: But if I'm trying to change my fuel source taketo.

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Speaker 1: You know, I don't know anyway, You're sorry, I digress back.

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Speaker 1: You sounded like Keenan Thompson doing his David Ortiz character

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Speaker 1: there for a minute, just like yeah, yeah, uh, Nataa,

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Speaker 1: What is something you think is underrated? Oh? You know,

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Speaker 1: I don't know if this counts. I think directness is underrated.

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Speaker 1: Oh yeah, that's valid. I'm a very direct person, and uh,

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Speaker 1: at least I'm always like, hey, you get exactly. I

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Speaker 1: don't think that means being rude, and I think people

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Speaker 1: a lot of people are scared of being direct, but

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Speaker 1: I'm like, at least, like you know where the person

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Speaker 1: is standing at all times. It's not you know, you're

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Speaker 1: not having to like read between the lines and ship.

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Speaker 1: And I just wish more people we're just a little

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Speaker 1: bit more direct, and that does not mean being rude

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Speaker 1: or being arrogant or tactless. Yeah, but you know, just

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Speaker 1: be honest, like even when you're dating, Like we talked

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Speaker 1: about this on my podcast a lot, where it's like,

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Speaker 1: you know, you don't have to lead somebody on, but

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Speaker 1: you could be kind and just let them down and

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Speaker 1: let go so that they're not like hanging around forever.

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Speaker 1: You could just be like, hey, you know, I had

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Speaker 1: a really great date, but um, I didn't feel a chemistry.

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Speaker 1: Good luck, good good luck. Here's a hack new Starbucks car.

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Speaker 1: And finally, what's a myth? What's something people think is

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Speaker 1: true that you know to be false? Guys, Because I'm

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Speaker 1: you know, I'm in the dating world. So I'm just

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Speaker 1: going to keep it to that. Like, the myth is

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Speaker 1: that love conquers all, um, and that's and that's not

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Speaker 1: a negative thing. That's not like being a Debbie downer.

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Speaker 1: If you talk to any therapists in the world, they

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Speaker 1: will tell you that the number one myth that people

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Speaker 1: come in with is that love conquers all. It's like

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Speaker 1: you could be with an addict and you could be like, oh,

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Speaker 1: I'm just going to love them to death, and they

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Speaker 1: love doesn't fix problems. You can love them to death.

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Speaker 1: But like real love is like self love, so like

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Speaker 1: self love can conquer all guys. No, yes, no, I'm

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Speaker 1: just think self love can conquer so like if again,

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Speaker 1: if let's use the addict example, if you're an addict,

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Speaker 1: then love for yourself and true love for yourself can

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Speaker 1: help you to like push you to hopefully make the

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Speaker 1: right decision to get the help, but not somebody else.

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Speaker 1: Support can be good, but not like unconditional love to

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Speaker 1: the point that the person is just like, well, I

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Speaker 1: know they're going to be there because the addicts mind

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Speaker 1: can get And when you have more self love or

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Speaker 1: you know your own worth, you will be less susceptible

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Speaker 1: to people taking advantage of you, or you'll probably be

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Speaker 1: able to create better boundaries to when you know, when

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Speaker 1: you have an idea of who I am or what

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Speaker 1: I love about myself, and you say, wait, is this jibing, Well, nope,

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Speaker 1: I need to I need to have some boundaries. Yeah,

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Speaker 1: you're not seeking on the outside exactly. You got to

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Speaker 1: live from inside out. Don't let these outside factors inform

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Speaker 1: you're feeling on the inside. That doesn't make sense because

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Speaker 1: you live from the inside. Child. Somebody on Twitter was saying,

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Speaker 1: what what episode of the Cracked podcast, a podcast I hosted,

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Speaker 1: like starting four years ago, five years ago, what episode

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Speaker 1: to the Crack podcast was it where you said love

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Speaker 1: is modern America's Like I was like, yeah, I don't

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Speaker 1: even remember saying that period. I don't remember. I'm married. Yeah,

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Speaker 1: but that's pretty funny. That could have happened a lot

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Speaker 1: to write. Like you say things and you're like, holy

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Speaker 1: sh it, that I dropped that wisdom. Oh yeah, that's

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Speaker 1: I love Twitter, And I'm like, yeah, that's right, I

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Speaker 1: do say, but I do think that that, Yeah, it's

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Speaker 1: exactly what you're talking about, that we are just counting

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Speaker 1: on this external form of like entire spiritual validation to

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Speaker 1: like come in and just make everything we got the

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Speaker 1: circuitry completely backwards. That's right. Alright, let's talk about traffic rankings. Alright,

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Speaker 1: l A, the most traffic the most next, Actually probably

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Speaker 1: not true anymore. No, I think I think we talked

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Speaker 1: about this. If you're I think Nashville is the worst

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Speaker 1: these days. It's all all these cities that are like

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Speaker 1: really cool places to live that everybody heard they're cool

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Speaker 1: places to live, and now like entire like new cities

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Speaker 1: worth the people have moved into infrastructure that was not

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Speaker 1: built for that many people. But we're talking about a

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Speaker 1: different We're talking about web traffic. That's how fluid traffic.

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Speaker 1: What do you think how's Toronto's? Uh So, I always

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Speaker 1: find it interesting just to check in every once in

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Speaker 1: a while with what people what websites people are visiting

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Speaker 1: on the internet, because they do release that similar web

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Speaker 1: on a regular I think monthly basis puts out their rankings.

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Speaker 1: There's a website called google dot com that is apparently

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Speaker 1: number one Facebook. You know, all the usual you wouldn't

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Speaker 1: be it wouldn't be too interesting to just go through

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Speaker 1: all of the top fifty, but there are some interesting

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Speaker 1: things if you check, like what's up and what's down.

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Speaker 1: So in America, Zillo is down seven spots. Uh, I

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Speaker 1: think because that's another sign that the housing market isn't

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Speaker 1: doing great, and that's something that you hear from people

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Speaker 1: in real estate that the housing market has kind of

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Speaker 1: stalled out a little bit. ESPN is up ten spots.

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Speaker 1: I think partially because football season and Major League Baseball

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Speaker 1: postseason kind of coincide, and NBA off season is kind

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Speaker 1: of heating up towards preseason. And I just said seasons

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Speaker 1: so many times in a single sentence that it might

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Speaker 1: be a world record. But I also think it might

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Speaker 1: be the fact that people need something too, They need

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Speaker 1: relief from the news cycle, and sports is is almost

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Speaker 1: like modern America's religion. The October nine episode, that's just

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Speaker 1: what I call everything whether what's overused and honestly, guys,

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Speaker 1: I think I think weather dot com is America's religion.

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Speaker 1: Eleven spots. I think because the hurricane season and probably

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Speaker 1: changing weather, you know, but so it's it seems like

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Speaker 1: seasonal rank. Yeah. Yeah, but CNN gained five spots and

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Speaker 1: Fox News dropped four spots, and those are like these

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Speaker 1: are all the biggest movers in the top fifty, Like

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Speaker 1: nobody else is really moving. Like the top ten is

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Speaker 1: almost completely identical to last month's top ten because at

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Speaker 1: this point you're talking about like hundreds of millions of

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Speaker 1: people like going from one site to another if you're

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Speaker 1: gonna like move from to the top three. The top

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Speaker 1: three are Google, Facebook, and number three is YouTube, Amazon

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Speaker 1: number four, but I guess what number five is Yahoo

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Speaker 1: dot com because there because the elderly still use Yahoo.

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Speaker 1: They get everything from Yahoo. When I used to make videos,

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Speaker 1: digital videos that were just mass syndicated for the event,

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Speaker 1: Yahoo and MSN would buy videos. You're like, yo, who

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Speaker 1: goes there? And you can make something like desi arnez

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Speaker 1: is Beauty Secrets and like it would do like five

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Speaker 1: million views and you did like three things to know

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Speaker 1: about John Legend or whatever, and it gets like like

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Speaker 1: a hundred thousand, So a lot of people like can

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Speaker 1: just be on Yahoo and get everything they need. Like

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Speaker 1: so it's like an older Yeah, it's like a sure. Yeah.

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Speaker 1: It's basically they syndicate stuff like it's a newspaper, so that,

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Speaker 1: you know, old people who are used to newspapers can

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Speaker 1: just find it's all here. And I saw a video.

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Speaker 1: Have you seen the new Halloween costumes for pugs? Other

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Speaker 1: kinds of videos that you very well, but old people

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Speaker 1: and other people using Yahoo dot com. The rest of

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Speaker 1: the Internet is way better than you who dot com.

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Speaker 1: The stuff you're getting is watered down garbage. Yeah, y'all

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Speaker 1: start watching other still watching real video clips on check

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Speaker 1: out the front page of Reddit. That is going to

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Speaker 1: old persons. If you if you throttle them off of

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Speaker 1: Yahoo to the front page of Reddit, they would someone

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Speaker 1: would have some kind of like breakdown. Yeah. I feel

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Speaker 1: like I'm I have a breakdown every time I look

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Speaker 1: out Reddit because like I can't get it. Yeah, it's

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Speaker 1: other people who will have a mount out mentally healthy people. Yeah, yeah,

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Speaker 1: so that you know of uh huh, yeah exactly. You're

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Speaker 1: you seem very direct so I'm going to give you

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Speaker 1: the best you know Reddit. It's really it's really also

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Speaker 1: about curating for what you like. You know, if you

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Speaker 1: just go to our all and you see everything, then

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Speaker 1: you're gonna see kind of all dimensions of Reddit and

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Speaker 1: it's great and worst forms, but then you can find

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Speaker 1: things I've just like for me, I got my arsenal ship,

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Speaker 1: got you know, things about making music, other ones, and

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Speaker 1: then you have like their real communities like that. Then

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Speaker 1: you have like the maga like subreddits where I love

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Speaker 1: to go to because it's always oh, it's always fun

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Speaker 1: to see how uh, like the die hard Maga people

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Speaker 1: are making sense of news that we're looking at and

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Speaker 1: how it's being spun to sort of keep the narrative

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Speaker 1: in check of like everything is actually fine, right, and

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Speaker 1: that's really what it is. What that what that subreddit

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Speaker 1: offers people. Yeah, it's interesting. CNN game five spots and

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Speaker 1: Fox News dropped for I guess that's kind of interesting.

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Speaker 1: There's just more terror on the middle two left and

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Speaker 1: so everybody's just constantly refreshing. Maybe yeah, but if it

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Speaker 1: dropped forward, that would you think that maybe from that

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Speaker 1: movement that some Fox people have ditched Fox for CNN

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Speaker 1: maybe or maybe they're that entire population is just checking

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Speaker 1: the site less this month, and CNN people are checking

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Speaker 1: the site more. Yeah, I mean there was there were

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Speaker 1: a lot of reasons to want that coverage CNN coverage, right, yeah,

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Speaker 1: I agree. And Drudge Report is went up one spot,

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Speaker 1: so Matt, yeah, good for Matt Old Maddie still beating

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Speaker 1: New York Times. Is the Drudge Report spots different? Is

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Speaker 1: Drudge Report from New York Times. It's pretty significant. Drudge

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Speaker 1: Report is number thirty nine. New York Times is not

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Speaker 1: in the top fifty. Well. New York Times also now

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Speaker 1: has a block, right you can only get like yeah, yeah,

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Speaker 1: I mean a lot of these sites are just about

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Speaker 1: curation when you when you think about it, like redd

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Speaker 1: it is curation. Yeahoo, we were talking about is curation

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Speaker 1: and Drudge is pure curation, so I mean gradation. And

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Speaker 1: it's it's hard to be the New York Times and

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Speaker 1: actually have to pay to create real content, like based

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Speaker 1: on what is actually happening. Uh yeah, alright, We're gonna

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Speaker 1: take a quick break, will be right back and we're back.

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Speaker 1: And something we like to do every once in a

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Speaker 1: while is checking with the box office uh to see

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Speaker 1: you know, Hollywood's our dream factory. Guys, you can always

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Speaker 1: say Hollywood is America's. So this weekend, Venom and A

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Speaker 1: Star Is Born both crushed at the American box office

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Speaker 1: and global box office heading into the weekend. My guilty

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Speaker 1: pleasure is sadly that I pay attention to box office prognostications,

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Speaker 1: and they were saying that it was going to make

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Speaker 1: like they were wondering if it could break Gravity's record

423
00:23:59,840 --> 00:24:03,240
Speaker 1: for biggest October box office ever, which is fifty five million,

424
00:24:03,720 --> 00:24:08,480
Speaker 1: And usually they're like within five million with Venom. Venom, Yeah,

425
00:24:08,680 --> 00:24:12,959
Speaker 1: Venom made eighty million this week in America? And what

426
00:24:13,040 --> 00:24:16,760
Speaker 1: is Star Is Born? Make? Like forty three? Something like that?

427
00:24:16,880 --> 00:24:19,920
Speaker 1: Really did really well though, I mean, which is crazy.

428
00:24:19,960 --> 00:24:22,560
Speaker 1: And it's also the type of movie they usually look

429
00:24:22,600 --> 00:24:26,520
Speaker 1: at a cinema score, like how what people said about

430
00:24:26,520 --> 00:24:30,160
Speaker 1: it on exit polling? And it got an A which

431
00:24:30,200 --> 00:24:32,720
Speaker 1: is usually a sign that it's going to hold really well.

432
00:24:33,080 --> 00:24:36,119
Speaker 1: What did Venom get? Because it's reviews weren't B plus?

433
00:24:36,640 --> 00:24:41,200
Speaker 1: So about what like poorly reviewed uh, comic book movies

434
00:24:41,280 --> 00:24:44,040
Speaker 1: generally gets like a B plus. It's like fans are

435
00:24:44,119 --> 00:24:49,080
Speaker 1: like not willing to admit they completely hate they're still like, yeah, man,

436
00:24:49,119 --> 00:24:52,480
Speaker 1: it was awesome. Uh. And then on the car ride home,

437
00:24:52,520 --> 00:24:55,560
Speaker 1: that's when you go, man, that's just sucks, right right,

438
00:24:59,359 --> 00:25:01,280
Speaker 1: or you don't have to get over that denial that

439
00:25:01,320 --> 00:25:03,600
Speaker 1: you're like, damn, that was a fucking l I just

440
00:25:03,880 --> 00:25:05,840
Speaker 1: in the theater, and then you have to be like, no, wait,

441
00:25:05,960 --> 00:25:09,560
Speaker 1: that was bullshit. Yeah, but um yeah, I guess too.

442
00:25:09,640 --> 00:25:12,560
Speaker 1: Totally different movies. I was. I was a little surprised

443
00:25:12,560 --> 00:25:16,520
Speaker 1: by Venom's success, just because it is sort of a

444
00:25:16,640 --> 00:25:22,200
Speaker 1: niche comic book. I thought, like a sort of anti goodness. Yeah,

445
00:25:22,280 --> 00:25:24,760
Speaker 1: I mean when you think about the real tent pole

446
00:25:25,080 --> 00:25:27,320
Speaker 1: sort of films. I mean, but the Venom was I

447
00:25:27,320 --> 00:25:30,679
Speaker 1: think inevitable, Like the Venom character was one of the

448
00:25:31,200 --> 00:25:35,440
Speaker 1: best villains, right right. I mean I'm crazy looking forward

449
00:25:35,440 --> 00:25:38,840
Speaker 1: to that movie because I mean I hated Venom, but

450
00:25:38,920 --> 00:25:40,560
Speaker 1: as a character, but that is the thing. You hated

451
00:25:40,600 --> 00:25:42,960
Speaker 1: him so much, You're like, wow, it's so fascinating. So

452
00:25:43,720 --> 00:25:48,160
Speaker 1: I like, I likes, um, were you are you interested

453
00:25:48,440 --> 00:25:49,919
Speaker 1: in Venom? I know a lot of people that are

454
00:25:49,960 --> 00:25:52,480
Speaker 1: just interested because Tom Hardy Right, No, No, I'm super

455
00:25:52,520 --> 00:25:55,879
Speaker 1: into I like it could have been anybody. Yeah, so,

456
00:25:56,840 --> 00:25:58,719
Speaker 1: but I was super into Spider Man growing up, and

457
00:25:58,760 --> 00:26:03,520
Speaker 1: so I'm going to see because it's Tom Hardy, Tom Hardy.

458
00:26:03,560 --> 00:26:05,359
Speaker 1: I'm a Tom Hardy head. I'm a hard I'm a

459
00:26:05,359 --> 00:26:07,640
Speaker 1: Hardy boy. The fact that he was playing it made

460
00:26:07,680 --> 00:26:10,000
Speaker 1: it better. Yeah, we have the same birthday, so that

461
00:26:10,280 --> 00:26:12,760
Speaker 1: I support everybody with this basically the same person. That's

462
00:26:12,760 --> 00:26:14,239
Speaker 1: what I like to think. I also have the same

463
00:26:14,240 --> 00:26:17,240
Speaker 1: birthdays Prince Harry. But I'm not even come on, don't

464
00:26:17,240 --> 00:26:19,240
Speaker 1: say your thank you, thank you man. I appreciate that.

465
00:26:19,760 --> 00:26:24,000
Speaker 1: Marino and Dan Marino, and I think Agatha Christie one

466
00:26:24,000 --> 00:26:28,120
Speaker 1: of the great performances in comedy history. Dan Marino and yes,

467
00:26:28,359 --> 00:26:33,280
Speaker 1: one of the great transphobic for trails that film. That's

468
00:26:33,280 --> 00:26:35,800
Speaker 1: another film. You look back, You're like, damn they really

469
00:26:36,840 --> 00:26:39,800
Speaker 1: uh huh. I saw A Star was Born. It was

470
00:26:40,119 --> 00:26:43,359
Speaker 1: very good. The thing I have to ask every person

471
00:26:43,400 --> 00:26:45,760
Speaker 1: who sees the film, what's it like when Lady Gaga

472
00:26:45,800 --> 00:26:50,600
Speaker 1: finally goes okay? Because in my mind that's the climax

473
00:26:50,600 --> 00:26:52,520
Speaker 1: of the film, and the credits come up, it is

474
00:26:52,680 --> 00:26:55,240
Speaker 1: and it happens early in the movie. Was sort of

475
00:26:55,240 --> 00:26:58,160
Speaker 1: a problem, but not not that big of a problem.

476
00:26:58,240 --> 00:27:00,440
Speaker 1: Like the best part happens pretty early in the movie.

477
00:27:00,800 --> 00:27:05,119
Speaker 1: That scene fucking rules her performance and that song is

478
00:27:05,160 --> 00:27:08,400
Speaker 1: better than I expected it to be. That moment, however,

479
00:27:08,760 --> 00:27:13,159
Speaker 1: it was like this weird existential experience because I was

480
00:27:13,240 --> 00:27:15,840
Speaker 1: just hearing that song for maybe the second or third

481
00:27:15,920 --> 00:27:17,919
Speaker 1: time during the course of the movie, but I was

482
00:27:18,000 --> 00:27:22,159
Speaker 1: hearing that clip for the three thousands and so it

483
00:27:22,200 --> 00:27:25,639
Speaker 1: almost sounded like they just inserted a clip like in

484
00:27:25,680 --> 00:27:30,000
Speaker 1: the middle of it. Because my brain was like, like, right,

485
00:27:31,040 --> 00:27:34,560
Speaker 1: it was weird, but uh yeah, I was actually, you know,

486
00:27:34,680 --> 00:27:36,880
Speaker 1: she was amazing. I was expecting her to be amazing.

487
00:27:36,960 --> 00:27:40,399
Speaker 1: He was really good. He like did this voice that

488
00:27:40,600 --> 00:27:43,200
Speaker 1: like it didn't seem like he was doing a voice

489
00:27:43,240 --> 00:27:47,120
Speaker 1: like yeah. But because you know how Bradley normally talks,

490
00:27:47,359 --> 00:27:49,480
Speaker 1: because h An Scott when he was here, he was like, no,

491
00:27:49,560 --> 00:27:53,040
Speaker 1: I'm not fucking Bradley Cooper. But I thought it was.

492
00:27:53,320 --> 00:27:55,320
Speaker 1: I thought it was pretty good. And again he also

493
00:27:55,320 --> 00:28:01,000
Speaker 1: plays raccoon Yeah, I mean really me. His role in

494
00:28:01,160 --> 00:28:03,359
Speaker 1: Wet Hot American Summer to me is probably his greatest,

495
00:28:03,920 --> 00:28:06,920
Speaker 1: the peak, the beginning and peak of his career, much

496
00:28:06,960 --> 00:28:10,280
Speaker 1: like this movie started out too high. So there's a

497
00:28:10,320 --> 00:28:12,960
Speaker 1: scientific study out that is going to throw a little

498
00:28:12,960 --> 00:28:16,879
Speaker 1: more gasoline on the fire of an ongoone conversation of like,

499
00:28:16,920 --> 00:28:20,520
Speaker 1: our dogs smarter than cats? And I don't know, this

500
00:28:20,600 --> 00:28:23,840
Speaker 1: is a debate we sort of track here. We it's like, well,

501
00:28:23,960 --> 00:28:26,600
Speaker 1: it is very much a cultural thing, like that's just

502
00:28:26,800 --> 00:28:29,479
Speaker 1: you know, it's like coker pepsi. People go dogs murder

503
00:28:29,600 --> 00:28:32,440
Speaker 1: fucking cats smarter. And I think most of the time

504
00:28:32,720 --> 00:28:35,200
Speaker 1: people are like, well it's different. You know, they're cats

505
00:28:35,200 --> 00:28:37,760
Speaker 1: are just aloof and dogs blah blah blah. But this

506
00:28:37,760 --> 00:28:39,360
Speaker 1: this one was really trying to get at the real

507
00:28:39,680 --> 00:28:43,080
Speaker 1: issue of like, are there like differences in their cognitive abilities?

508
00:28:43,200 --> 00:28:46,840
Speaker 1: Is their cognition exceptional? And that's what they looked at.

509
00:28:46,880 --> 00:28:49,880
Speaker 1: So they compared dog cognition with members of three similar

510
00:28:49,880 --> 00:28:53,840
Speaker 1: groups carnivals, carnivores, social hunters, domestic animals, and carneys and

511
00:28:53,920 --> 00:28:59,360
Speaker 1: carneys uh. And they found like they studied wolves, cats, chimpanzees, dolphins, horses, pigeons,

512
00:28:59,480 --> 00:29:03,280
Speaker 1: and they found dogs not necessarily exceptional. And they say, look,

513
00:29:03,480 --> 00:29:08,680
Speaker 1: they can't use tools like crows can or like chimpanzees. Um.

514
00:29:08,840 --> 00:29:11,000
Speaker 1: And but they also say that they're one of their

515
00:29:11,000 --> 00:29:14,000
Speaker 1: biggest skills is that dogs actually like to be trained,

516
00:29:14,200 --> 00:29:18,080
Speaker 1: so it's easier to actually add skills by because they're

517
00:29:18,120 --> 00:29:20,040
Speaker 1: more open to training. So that's why you have those dogs,

518
00:29:20,040 --> 00:29:21,880
Speaker 1: I know, like a thousand verbs like when you're just

519
00:29:21,880 --> 00:29:25,360
Speaker 1: showing flash cards or whatever. So that that's sort of

520
00:29:25,360 --> 00:29:27,520
Speaker 1: what it got to, is like the thing that we're

521
00:29:27,560 --> 00:29:30,480
Speaker 1: realizing is that dogs just like to be trained, Hence

522
00:29:30,600 --> 00:29:33,680
Speaker 1: they can there's more visible confirmation that maybe they have

523
00:29:33,920 --> 00:29:38,000
Speaker 1: a capacity to learn or above average intelligence. And really

524
00:29:38,200 --> 00:29:41,239
Speaker 1: they're very affectionate animals too, and like they have that

525
00:29:41,280 --> 00:29:43,240
Speaker 1: more so than other animals, which get us more like,

526
00:29:43,240 --> 00:29:45,400
Speaker 1: oh yeah, we in the dog moved in the dogs zone.

527
00:29:45,680 --> 00:29:49,200
Speaker 1: So dogs are the smartest animal when it comes to

528
00:29:49,360 --> 00:29:53,120
Speaker 1: interacting with humans. That is specifically like how they were

529
00:29:53,160 --> 00:29:58,040
Speaker 1: designed by evolution. Their species like started out by being

530
00:29:58,120 --> 00:30:01,200
Speaker 1: wolves who started coming near human to get scraps and

531
00:30:01,320 --> 00:30:04,040
Speaker 1: leftovers from hunting camps. And the dogs that were best

532
00:30:04,080 --> 00:30:07,160
Speaker 1: at reading and befriending humans were the ones that survived

533
00:30:07,200 --> 00:30:10,080
Speaker 1: and ate the best and procreated the most. And that's

534
00:30:10,080 --> 00:30:14,280
Speaker 1: how dogs happened. And almost all clever seeming behavior that

535
00:30:14,360 --> 00:30:17,160
Speaker 1: dogs engage in, it's like they're reading us. They're like

536
00:30:17,200 --> 00:30:20,280
Speaker 1: looking at almost like clues that might be imperceptible to

537
00:30:20,360 --> 00:30:22,600
Speaker 1: us or that we don't know we're giving off. But

538
00:30:23,080 --> 00:30:27,280
Speaker 1: dogs are like a hybrid tool companion animal that was

539
00:30:27,400 --> 00:30:33,120
Speaker 1: designed for human companionship, and cats are like their relationship

540
00:30:33,160 --> 00:30:35,600
Speaker 1: to humans is much different. They're a hunting tool and

541
00:30:35,640 --> 00:30:39,400
Speaker 1: they became domesticated to perform the service of basically like

542
00:30:39,480 --> 00:30:43,680
Speaker 1: a smart rodent trap. Yeah, they were the first rodent trap,

543
00:30:43,960 --> 00:30:48,880
Speaker 1: the first exterminators, and so they inherently like because of

544
00:30:49,000 --> 00:30:52,440
Speaker 1: the way they came to exist, they have less of

545
00:30:52,480 --> 00:30:56,360
Speaker 1: a dependence on humans for food because their role in

546
00:30:56,400 --> 00:30:58,760
Speaker 1: a human household was to trap the food that we

547
00:30:58,800 --> 00:31:00,960
Speaker 1: couldn't get to. So of us, they're gonna be like, man,

548
00:31:01,000 --> 00:31:06,400
Speaker 1: fuck you, Like I don't want to, I'll be no exactly.

549
00:31:06,480 --> 00:31:10,120
Speaker 1: They say that like having an outdoor cat in your

550
00:31:10,160 --> 00:31:14,440
Speaker 1: neighborhood actually affects the bird population, Like it's an actual

551
00:31:14,760 --> 00:31:18,160
Speaker 1: environmental issue for birds in my mom's house. The for

552
00:31:18,360 --> 00:31:22,320
Speaker 1: fucking cats, they bring so many birds in, it's real wild.

553
00:31:22,440 --> 00:31:25,520
Speaker 1: So you have an animal in your house that you're

554
00:31:25,560 --> 00:31:29,280
Speaker 1: just keeping in from like going out and just killing everything.

555
00:31:29,480 --> 00:31:31,720
Speaker 1: So like, of course it's attitude towards you is going

556
00:31:31,760 --> 00:31:35,240
Speaker 1: to be different dogs are trained, and like their full

557
00:31:35,240 --> 00:31:39,200
Speaker 1: existence is just dependent on reading your emotions. That's like

558
00:31:39,440 --> 00:31:42,400
Speaker 1: how they have always existed. So I don't know, this

559
00:31:42,440 --> 00:31:45,440
Speaker 1: whole conversation just seems like it's this issue that I

560
00:31:45,480 --> 00:31:48,160
Speaker 1: see like bleeding over into everything, like when people are

561
00:31:48,160 --> 00:31:51,040
Speaker 1: talking about whether Kanye is a genius or not, and

562
00:31:51,080 --> 00:31:53,440
Speaker 1: it's like, well, he's a musical genius, but he's a

563
00:31:53,440 --> 00:31:56,640
Speaker 1: political moron, or like the you know, the i Q

564
00:31:56,880 --> 00:31:59,560
Speaker 1: debate and like mensa. We've been talking about mens A

565
00:31:59,560 --> 00:32:02,680
Speaker 1: lot later, and how these fucking idiots end up like

566
00:32:03,040 --> 00:32:06,360
Speaker 1: scoring well in i Q tests. And I was like, Yo,

567
00:32:06,560 --> 00:32:10,960
Speaker 1: the idea of an objective intelligence that just exists across

568
00:32:11,000 --> 00:32:14,080
Speaker 1: all things like that doesn't exist. They're just various and

569
00:32:14,120 --> 00:32:15,800
Speaker 1: like you would you kind of, I think we all

570
00:32:15,840 --> 00:32:18,240
Speaker 1: inherently know that, and the idea of like an i

571
00:32:18,360 --> 00:32:21,520
Speaker 1: Q test is like a myth that we just like

572
00:32:21,520 --> 00:32:24,520
Speaker 1: like to believe in what helps it helps organize things

573
00:32:24,520 --> 00:32:28,680
Speaker 1: better exactly. Yeah, but it sounds like you really got

574
00:32:28,680 --> 00:32:33,640
Speaker 1: hot of it over that when I said, ye, dogs,

575
00:32:33,720 --> 00:32:35,680
Speaker 1: but it's true. Yeah, I think, yeah, like you say, dogs,

576
00:32:35,720 --> 00:32:38,880
Speaker 1: they really are their companions most of these other animals,

577
00:32:38,880 --> 00:32:40,840
Speaker 1: And I think that's why they're always saying, even as

578
00:32:40,880 --> 00:32:43,200
Speaker 1: they wrote it to like, look, we know that their

579
00:32:43,360 --> 00:32:45,800
Speaker 1: x factors that make them more appealing to human beings,

580
00:32:45,920 --> 00:32:48,320
Speaker 1: and that's why they're saying, we're just testing if their

581
00:32:48,360 --> 00:32:51,400
Speaker 1: brains can handle more information, if they have cognitive abilities

582
00:32:51,400 --> 00:32:54,400
Speaker 1: that are beyond other animals, and that they're simply saying

583
00:32:54,880 --> 00:32:57,680
Speaker 1: it's not exceptional. But again, but they have all these

584
00:32:57,680 --> 00:33:00,360
Speaker 1: other skills that make them quite exceptional to us as

585
00:33:00,400 --> 00:33:03,600
Speaker 1: human beings. Yeah, because you know, horses do like like

586
00:33:03,840 --> 00:33:07,200
Speaker 1: sort of step based tasks too, and things like that.

587
00:33:07,280 --> 00:33:09,840
Speaker 1: So it's not yet. But what makes the world go

588
00:33:09,920 --> 00:33:13,640
Speaker 1: around is that everything is different. All have different strengths

589
00:33:13,640 --> 00:33:16,280
Speaker 1: and weaknesses. I love cats and dogs, you know what

590
00:33:16,280 --> 00:33:21,040
Speaker 1: I mean, dog, But I'm like, I'm a dog person.

591
00:33:21,200 --> 00:33:25,040
Speaker 1: I don't I don't hate cats. You ambivalent? Are you ambivalent?

592
00:33:25,080 --> 00:33:27,840
Speaker 1: Are you just not? No? Yeah, I'm pretty whatever. Yeah

593
00:33:28,760 --> 00:33:30,960
Speaker 1: I admire cats, but I'm a dog person, Like, I

594
00:33:31,000 --> 00:33:34,880
Speaker 1: just mean, you admire them. Actually, I hope aspire to

595
00:33:34,920 --> 00:33:37,960
Speaker 1: be like that amazing, Like I think they're amazing creatures

596
00:33:37,960 --> 00:33:40,120
Speaker 1: and like I admire the fact that they are like

597
00:33:40,520 --> 00:33:46,160
Speaker 1: still existing as apex predators in like a suburban environment.

598
00:33:46,200 --> 00:33:49,240
Speaker 1: I think that's what was that cat documentary the Predator

599
00:33:49,320 --> 00:33:52,280
Speaker 1: in Your House or something? Doesn't like man, my mom went,

600
00:33:52,680 --> 00:33:54,240
Speaker 1: I don't know when my mom keeps coming up. When

601
00:33:54,240 --> 00:33:56,120
Speaker 1: that came on, she's like, you have to watch this, right,

602
00:33:56,600 --> 00:33:59,200
Speaker 1: I don't know why she's talking like the captain and

603
00:34:00,160 --> 00:34:04,720
Speaker 1: enough she's Japanese's like, you have to watch a documentary

604
00:34:04,920 --> 00:34:11,239
Speaker 1: about cut Yeah. I think my personality is more of

605
00:34:11,280 --> 00:34:14,800
Speaker 1: a cat, but I love dogs, like as in because

606
00:34:14,800 --> 00:34:17,759
Speaker 1: there they are so The one thing I love about

607
00:34:17,760 --> 00:34:21,960
Speaker 1: a cat is they are so independent that they're like,

608
00:34:22,239 --> 00:34:24,920
Speaker 1: fuck you, I will not let you pet me, even

609
00:34:24,920 --> 00:34:26,879
Speaker 1: though like I just want to. I think I would

610
00:34:26,880 --> 00:34:28,799
Speaker 1: have like a cat more if they let me pet them,

611
00:34:29,120 --> 00:34:31,239
Speaker 1: because they want to cute and fury and they're like,

612
00:34:31,400 --> 00:34:34,600
Speaker 1: you know what, I'm beyond this cute and furry exterior,

613
00:34:34,960 --> 00:34:37,520
Speaker 1: so fuck you in your knee. I think it's important

614
00:34:37,520 --> 00:34:39,319
Speaker 1: to when you have them, especially when they're younger, like

615
00:34:39,360 --> 00:34:41,520
Speaker 1: you just got to get them used to being held

616
00:34:41,560 --> 00:34:44,160
Speaker 1: by humans, are interacting with humans, because like, if you know,

617
00:34:44,200 --> 00:34:46,200
Speaker 1: if you adopt a cat, especially one that's been on

618
00:34:46,200 --> 00:34:48,400
Speaker 1: the street and stuff, much harder for them to be

619
00:34:48,440 --> 00:34:52,480
Speaker 1: acclimated to human and also Natasha, when you came in

620
00:34:52,520 --> 00:34:56,120
Speaker 1: this morning, you had two birds that you had killed

621
00:34:56,160 --> 00:34:58,480
Speaker 1: in your mouth and you dropped them in front of

622
00:34:58,520 --> 00:35:01,919
Speaker 1: me and Miles as gift off. So that was the birthday. Yeah,

623
00:35:04,600 --> 00:35:07,920
Speaker 1: and you were disappointed in us when we didn't like,

624
00:35:07,920 --> 00:35:11,960
Speaker 1: like like a cat, you don't want the rabies infested.

625
00:35:13,560 --> 00:35:15,640
Speaker 1: I think you're right that you're more of a cat personally.

626
00:35:16,000 --> 00:35:19,239
Speaker 1: All right, let's talk about Taylor Swift, guess, because I mean,

627
00:35:19,280 --> 00:35:22,480
Speaker 1: look what y'all made her do. She had to go

628
00:35:22,560 --> 00:35:26,200
Speaker 1: and get political, so she has. We we've talked a

629
00:35:26,239 --> 00:35:28,880
Speaker 1: little bit before about how she didn't think it was

630
00:35:29,120 --> 00:35:32,760
Speaker 1: her place to step out and take a political stance

631
00:35:32,800 --> 00:35:35,400
Speaker 1: in the two thousand sixteen election. We were like, motherfucker,

632
00:35:35,480 --> 00:35:40,880
Speaker 1: what were you waiting for? But apparently this because after

633
00:35:41,480 --> 00:35:46,279
Speaker 1: last week's events and the over the weekend Kavanaugh getting confirmed,

634
00:35:46,880 --> 00:35:49,319
Speaker 1: h Taylor Swift came out and was like, all right,

635
00:35:49,400 --> 00:35:53,160
Speaker 1: so here's what I think and full, full on post

636
00:35:53,280 --> 00:35:55,840
Speaker 1: on the Graham. Let everybody know. We can read a

637
00:35:55,880 --> 00:35:57,480
Speaker 1: little bit. She says, I'm writing this post about the

638
00:35:57,520 --> 00:35:59,800
Speaker 1: upcoming midterm elections on November six and which I'll be

639
00:36:00,040 --> 00:36:01,920
Speaker 1: voting in the state of Tennessee. In the past, I've

640
00:36:01,960 --> 00:36:04,759
Speaker 1: been reluctant to publicly voice my political opinions, but due

641
00:36:04,760 --> 00:36:06,719
Speaker 1: to several events in my life and in the world

642
00:36:06,800 --> 00:36:08,840
Speaker 1: in the past two years, I think one is code

643
00:36:08,840 --> 00:36:11,800
Speaker 1: for when that DJ groped her and she won that lawsuit,

644
00:36:12,200 --> 00:36:13,960
Speaker 1: and then the past two years, I think that's her

645
00:36:13,960 --> 00:36:17,000
Speaker 1: saying Trump without saying Trump. I feel very differently about

646
00:36:17,000 --> 00:36:19,200
Speaker 1: that now. I always have and always will cast my

647
00:36:19,239 --> 00:36:21,040
Speaker 1: vote based on which Candida will protect and fight for

648
00:36:21,080 --> 00:36:23,320
Speaker 1: the human rights I believe we all deserve in this country.

649
00:36:23,360 --> 00:36:25,960
Speaker 1: I believe in the fight for LGBTQ rights and that

650
00:36:26,040 --> 00:36:28,760
Speaker 1: any form of discrimination based on sexual orientation or gender

651
00:36:28,800 --> 00:36:31,239
Speaker 1: is wrong. I believe that hold on now that the

652
00:36:31,280 --> 00:36:34,560
Speaker 1: systemic racism we still see in this country towards people

653
00:36:34,600 --> 00:36:37,879
Speaker 1: of color is terrifying, sickening, and prevalent. I cannot vote

654
00:36:37,920 --> 00:36:39,520
Speaker 1: for someone who will not be willing to fight for

655
00:36:39,560 --> 00:36:42,320
Speaker 1: dignity for all Americans, no matter their skin, color, gender,

656
00:36:42,440 --> 00:36:44,359
Speaker 1: or who they love. Running for Senate in the state

657
00:36:44,360 --> 00:36:47,040
Speaker 1: of Tennessee is a woman named Marcia Blackburn Oh calling

658
00:36:47,040 --> 00:36:49,439
Speaker 1: out names now as much as I have in the past,

659
00:36:49,480 --> 00:36:51,360
Speaker 1: and would like to continue voting for a woman in office.

660
00:36:51,360 --> 00:36:53,920
Speaker 1: I cannot support Marcia Blackburn her voting record in Congress

661
00:36:54,040 --> 00:36:56,520
Speaker 1: appause and terrifies me. So, I mean then she goes on,

662
00:36:56,600 --> 00:36:58,880
Speaker 1: pulls out receipts about how she didn't vote for equal

663
00:36:58,920 --> 00:37:01,360
Speaker 1: pay for women, for it against the re authorization of

664
00:37:01,440 --> 00:37:04,920
Speaker 1: Violence against Women acts, like really lays it all. Yeah. So,

665
00:37:04,960 --> 00:37:08,920
Speaker 1: I mean, this is like vanilla statement that couldn't possibly.

666
00:37:08,960 --> 00:37:12,000
Speaker 1: It's not like she's taking a side because everything she

667
00:37:12,040 --> 00:37:15,319
Speaker 1: said was like she says, I'm voting for Phil Redicon. Yeah.

668
00:37:15,360 --> 00:37:18,360
Speaker 1: But she also says in it that she she chooses

669
00:37:18,400 --> 00:37:20,560
Speaker 1: the people that she believes as right at the time,

670
00:37:20,840 --> 00:37:23,160
Speaker 1: which is I think a good way of you know,

671
00:37:23,200 --> 00:37:26,640
Speaker 1: telling people. How could anyone object to what she was

672
00:37:26,640 --> 00:37:28,840
Speaker 1: saying there? Oh wait, sorry, if we have a Fox

673
00:37:28,880 --> 00:37:33,120
Speaker 1: News clip, I'm told let's listen. Yeah. So again, clearly

674
00:37:33,120 --> 00:37:35,359
Speaker 1: this wasn't gonna go overwhelm with the culture wars, so

675
00:37:35,680 --> 00:37:38,040
Speaker 1: again we're hearing it. This is a juxtaposition that The

676
00:37:38,080 --> 00:37:41,080
Speaker 1: Daily Best put together of them talking about how brave

677
00:37:41,160 --> 00:37:43,600
Speaker 1: Kanye is and how you know, Taylors needs to shut

678
00:37:43,600 --> 00:37:45,719
Speaker 1: the funk up. What I love about Kanye West is

679
00:37:45,760 --> 00:37:47,759
Speaker 1: he has been blazing this Trail, saying it's okay to

680
00:37:47,800 --> 00:37:50,920
Speaker 1: think freely, it's okay to oppose the status quo, and

681
00:37:50,960 --> 00:37:53,640
Speaker 1: in fact, what makes America the greatest country history of

682
00:37:53,640 --> 00:37:55,680
Speaker 1: the world is free thinking. This is what I used

683
00:37:55,680 --> 00:37:58,120
Speaker 1: to love about Taylor Swift that she stayed away from politics.

684
00:37:58,239 --> 00:38:00,520
Speaker 1: Thank you, Kanye West for standing up for what is right.

685
00:38:00,760 --> 00:38:03,359
Speaker 1: I just wish there would have been some some form

686
00:38:03,400 --> 00:38:05,440
Speaker 1: of neutrality when she went about this, where she said,

687
00:38:05,480 --> 00:38:07,959
Speaker 1: just registered to vote, make an informed decision. That would

688
00:38:07,960 --> 00:38:09,640
Speaker 1: have been the proper way to go about this and

689
00:38:09,680 --> 00:38:11,359
Speaker 1: to have that kind of courage to where the make

690
00:38:11,400 --> 00:38:13,440
Speaker 1: American greater get had He said it best. He said,

691
00:38:13,440 --> 00:38:15,279
Speaker 1: they're trying to tell me I can't wear this. They're

692
00:38:15,280 --> 00:38:18,200
Speaker 1: trying to tell me I can't support this president. Wow.

693
00:38:18,840 --> 00:38:21,120
Speaker 1: See the culture Wars got people high. Well. I always

694
00:38:21,160 --> 00:38:25,320
Speaker 1: I always just find it very hilarious because Republicans also

695
00:38:25,520 --> 00:38:28,040
Speaker 1: go on the grounds that celebrities should shut the funk

696
00:38:28,120 --> 00:38:31,920
Speaker 1: up and no, no celebrity. Their whole thing is like, oh,

697
00:38:32,080 --> 00:38:36,320
Speaker 1: these lefty liberal celebrities want to share their opinions, except

698
00:38:36,320 --> 00:38:40,680
Speaker 1: that they voted the biggest want to be celebrity in

699
00:38:40,680 --> 00:38:43,520
Speaker 1: the world as president. And I'm like you just negated

700
00:38:43,560 --> 00:38:47,160
Speaker 1: your entire argument. But then they'll support Kanye if it's

701
00:38:47,160 --> 00:38:49,440
Speaker 1: a celebrity who wants to speak that's on him side.

702
00:38:49,680 --> 00:38:54,760
Speaker 1: So famous people, they're so thirsty. They do not have anything.

703
00:38:54,840 --> 00:38:59,680
Speaker 1: They have Tim Allen and they and Rosane kind of

704
00:39:00,520 --> 00:39:04,160
Speaker 1: Joe Piscopo, Scott right, Piscopo has like a crazy right

705
00:39:04,160 --> 00:39:07,560
Speaker 1: wing right one of the other eighties like action hero

706
00:39:07,760 --> 00:39:13,600
Speaker 1: do Lorenzo Lamas, I think Victoria Jackson from SNL okay.

707
00:39:13,640 --> 00:39:16,960
Speaker 1: So yeah, So like when you look at when you

708
00:39:17,000 --> 00:39:19,600
Speaker 1: look at that, when you look at that culture War scoreboard,

709
00:39:19,920 --> 00:39:22,040
Speaker 1: Taylor was a piece on that board. They weren't sure

710
00:39:22,080 --> 00:39:24,080
Speaker 1: what side she was on. You know, for the longest time,

711
00:39:24,120 --> 00:39:26,600
Speaker 1: people are like, you know, she's actually an Arian goddess

712
00:39:26,640 --> 00:39:29,640
Speaker 1: and like like straight up neo Nazis were thirsting for

713
00:39:29,680 --> 00:39:32,719
Speaker 1: her because because she didn't let her political views known,

714
00:39:33,000 --> 00:39:36,160
Speaker 1: that allowed those people to claim her as their arian goddess.

715
00:39:36,200 --> 00:39:39,200
Speaker 1: And now with this coming out there like shit right, okay,

716
00:39:39,440 --> 00:39:42,440
Speaker 1: fuck it, she sucked the whole time anyway, and we

717
00:39:42,520 --> 00:39:45,080
Speaker 1: love Kanye even though when remember when Jane came out,

718
00:39:45,400 --> 00:39:47,399
Speaker 1: when her when she won that v m A, they

719
00:39:47,400 --> 00:39:50,319
Speaker 1: were like, who is this nasty black man exactly. They

720
00:39:50,360 --> 00:39:52,879
Speaker 1: were about to say that this is the only time

721
00:39:53,120 --> 00:39:55,480
Speaker 1: we can document the Fox News is praised like a

722
00:39:55,520 --> 00:39:59,680
Speaker 1: black manly They're like, yeah, you've got Well that's the formula.

723
00:39:59,800 --> 00:40:03,719
Speaker 1: If you sort of reverse course and embrace fully like

724
00:40:03,800 --> 00:40:06,600
Speaker 1: the racism of the Republican Party, you will be number

725
00:40:06,640 --> 00:40:10,960
Speaker 1: one on their list. Yeah. Hey, welcome to the team, Taylor.

726
00:40:11,120 --> 00:40:14,560
Speaker 1: Welcome to the team of believing in human rights. You

727
00:40:14,600 --> 00:40:19,160
Speaker 1: know that's that's cool. I'm gonna go the prodigal son

728
00:40:19,239 --> 00:40:21,680
Speaker 1: here and just be like, yeah, the more the merrier.

729
00:40:21,840 --> 00:40:23,560
Speaker 1: You know, you took a little while to get here,

730
00:40:23,600 --> 00:40:26,680
Speaker 1: but I don't know what you were waiting for. But

731
00:40:27,440 --> 00:40:29,799
Speaker 1: you know, one thing she did point out is that

732
00:40:29,840 --> 00:40:33,799
Speaker 1: the deadline to register to vote is today, the day

733
00:40:33,880 --> 00:40:37,120
Speaker 1: that this episode drops in. Like a bunch of states

734
00:40:37,160 --> 00:40:40,040
Speaker 1: like Arkansas, like a lot of states are like you

735
00:40:40,360 --> 00:40:43,440
Speaker 1: have to register in person or over mail by today

736
00:40:43,640 --> 00:40:47,160
Speaker 1: or online in the next couple of weeks. Arkansas, no

737
00:40:47,360 --> 00:40:53,279
Speaker 1: online registration. Yeah, Arizona, the online registration is today. As

738
00:40:53,320 --> 00:40:55,920
Speaker 1: you'll see, I just got through the AI's of the

739
00:40:56,000 --> 00:40:59,680
Speaker 1: alphabetical list. But yeah, just check when you're deadline to

740
00:40:59,719 --> 00:41:01,680
Speaker 1: register her to vote because if if you're young, and

741
00:41:03,040 --> 00:41:06,200
Speaker 1: because that's only whatever your beliefs are Canadian and I

742
00:41:06,239 --> 00:41:09,440
Speaker 1: cannot vote, and I all I can to do is

743
00:41:09,480 --> 00:41:15,440
Speaker 1: tell anybody whatever you're voting for, come on man a

744
00:41:15,440 --> 00:41:18,960
Speaker 1: few years. Yeah, hit up George Soros at gmail dot com,

745
00:41:19,040 --> 00:41:20,920
Speaker 1: say I need a fake ide to vote and he'll

746
00:41:20,920 --> 00:41:24,279
Speaker 1: look at Uh yeah, I think again, it's good. And

747
00:41:24,320 --> 00:41:27,560
Speaker 1: like you said, I mean, well, I guess clearly she

748
00:41:27,600 --> 00:41:30,239
Speaker 1: said I'm I'm picking the Democrats in this race. She

749
00:41:30,280 --> 00:41:32,399
Speaker 1: didn't use the word Trump, she didn't use the words

750
00:41:32,400 --> 00:41:35,560
Speaker 1: Republican or Democrat, and yet at the end of it

751
00:41:35,640 --> 00:41:38,120
Speaker 1: she still said, no, yeah, I agree, And I think

752
00:41:38,120 --> 00:41:42,320
Speaker 1: that's actually, like you said, better because that doesn't fully

753
00:41:42,560 --> 00:41:44,759
Speaker 1: allow people to be like, oh you see she says

754
00:41:44,760 --> 00:41:46,680
Speaker 1: I support the Democrats or something like that. She's like,

755
00:41:47,120 --> 00:41:49,800
Speaker 1: I'm a woman, I think this, these are my values.

756
00:41:49,880 --> 00:41:52,759
Speaker 1: This person does not aligned with that. Therefore it's enough

757
00:41:52,800 --> 00:41:54,960
Speaker 1: for me to Natasa. By the way, your father and

758
00:41:54,960 --> 00:41:57,640
Speaker 1: I were talking, and one way you could vote America

759
00:41:58,160 --> 00:42:01,799
Speaker 1: get married. I am. I have a green card. I

760
00:42:01,880 --> 00:42:07,799
Speaker 1: just all right, we're gonna take another quick break. We'll

761
00:42:07,840 --> 00:42:21,239
Speaker 1: be right back, and we're back. And we've had this

762
00:42:21,400 --> 00:42:24,280
Speaker 1: story on our dock for the past I guess week

763
00:42:24,400 --> 00:42:27,239
Speaker 1: now that I don't know if there's a fun way

764
00:42:27,280 --> 00:42:31,520
Speaker 1: to talk about it, but Kanye is clearly off his

765
00:42:31,719 --> 00:42:36,080
Speaker 1: meds in public, and it's just gone from being like,

766
00:42:36,440 --> 00:42:39,080
Speaker 1: oh man, what is this fucking dude talking about two

767
00:42:39,120 --> 00:42:42,640
Speaker 1: now just being one of the darker spectacles like an

768
00:42:42,640 --> 00:42:47,640
Speaker 1: ongoing car crash slow motion. Well, yeah, when I think

769
00:42:47,640 --> 00:42:49,400
Speaker 1: he was in Detroit and he was at the design

770
00:42:49,400 --> 00:42:51,799
Speaker 1: school and just hopped up on the table and was like,

771
00:42:52,000 --> 00:42:54,400
Speaker 1: gave some rant about Elon Musk, and then there was

772
00:42:54,400 --> 00:42:56,360
Speaker 1: like another thing where TMZ guy in the street was

773
00:42:56,400 --> 00:42:58,600
Speaker 1: talking to him and he was saying something about how

774
00:42:58,640 --> 00:43:01,799
Speaker 1: Abraham Lincoln was black, and that clip is the one

775
00:43:01,840 --> 00:43:04,560
Speaker 1: where I was like, Yo, they're like his look like

776
00:43:06,120 --> 00:43:09,839
Speaker 1: eyes look that you know. I don't know if you're

777
00:43:09,880 --> 00:43:14,640
Speaker 1: seeing people who need help, you know, I and I

778
00:43:14,680 --> 00:43:17,919
Speaker 1: think we're I was just mentioning, is that as much

779
00:43:17,960 --> 00:43:21,600
Speaker 1: as what he's saying can be frustrating for us to

780
00:43:21,680 --> 00:43:26,120
Speaker 1: hear as somebody who has a lot of experience working

781
00:43:26,160 --> 00:43:28,680
Speaker 1: with and I've had, you know, my my aunt was

782
00:43:28,800 --> 00:43:31,680
Speaker 1: very close to a schizophrenic and um, I'm a big

783
00:43:31,719 --> 00:43:36,280
Speaker 1: advocate for mental health issues and showing compassion to people

784
00:43:36,280 --> 00:43:41,400
Speaker 1: who have it, and clearly he is I'm for me personally,

785
00:43:41,520 --> 00:43:44,319
Speaker 1: I don't even think he's bipolar. I actually think he's

786
00:43:44,360 --> 00:43:48,239
Speaker 1: borderline schizophrenic, or he is or he's transitioning into that

787
00:43:48,800 --> 00:43:51,879
Speaker 1: as having watched my aunt go through these things and

788
00:43:52,360 --> 00:43:55,400
Speaker 1: um and doing like they do have these manning episodes

789
00:43:55,400 --> 00:43:58,680
Speaker 1: and then they make up these like crazy correlations to

790
00:43:58,800 --> 00:44:02,719
Speaker 1: things where mania tends to be like for for bipolar

791
00:44:02,840 --> 00:44:05,279
Speaker 1: is like still speaking a lot of the truth. They're

792
00:44:05,320 --> 00:44:08,400
Speaker 1: not necessarily coming up with these radical ideas, but if

793
00:44:08,440 --> 00:44:11,040
Speaker 1: you hear, like if you've watched a Beautiful Mind or

794
00:44:11,080 --> 00:44:13,040
Speaker 1: something like that, that's like more in the pop culture

795
00:44:13,080 --> 00:44:17,239
Speaker 1: realm of what um, what that can do. I just, yeah,

796
00:44:17,280 --> 00:44:20,360
Speaker 1: I wish that his his family and friends would protect

797
00:44:20,440 --> 00:44:23,880
Speaker 1: him a little bit more because I think that even

798
00:44:24,000 --> 00:44:26,960
Speaker 1: us all going out on Twitter and bashing him is like,

799
00:44:27,520 --> 00:44:30,400
Speaker 1: let's again find the humanity in the situation that we

800
00:44:30,440 --> 00:44:34,560
Speaker 1: are now bashing person with mental health issues. Um, and

801
00:44:34,600 --> 00:44:36,880
Speaker 1: maybe we all just need to chill out and maybe

802
00:44:36,920 --> 00:44:41,040
Speaker 1: he needs help because that will continue to make him spiral. Yeah,

803
00:44:41,040 --> 00:44:44,600
Speaker 1: because he's kind of going up against like having people

804
00:44:44,680 --> 00:44:48,160
Speaker 1: still perceive him as being having a full deck, and

805
00:44:48,200 --> 00:44:50,920
Speaker 1: I think that's why he's basically come up against like

806
00:44:50,960 --> 00:44:54,080
Speaker 1: cancel culture on the Internet, where they're like, Yep, this

807
00:44:54,120 --> 00:44:56,320
Speaker 1: dude is a fucking idiot, fun this guy blah blah blah.

808
00:44:56,360 --> 00:44:59,520
Speaker 1: Because everyone is still operating on the thing of like, see,

809
00:44:59,520 --> 00:45:01,680
Speaker 1: he's just one of these problematic black people or whatever,

810
00:45:01,920 --> 00:45:03,919
Speaker 1: and that could be true. There's a lot to look

811
00:45:03,960 --> 00:45:07,360
Speaker 1: at and say, man, he is really really like something's

812
00:45:07,400 --> 00:45:10,600
Speaker 1: just not right and this looks nothing like the Kanye

813
00:45:10,600 --> 00:45:14,000
Speaker 1: West we've seen before, aside from his political takes and

814
00:45:14,040 --> 00:45:16,720
Speaker 1: things like that. And I think, yeah, with the internet

815
00:45:16,800 --> 00:45:20,400
Speaker 1: very much just like just ready to fucking pitchfork the

816
00:45:20,440 --> 00:45:22,759
Speaker 1: ship out of somebody. This is like one of those

817
00:45:22,800 --> 00:45:26,160
Speaker 1: moments where we've yet to kind of really look. Before

818
00:45:26,160 --> 00:45:28,120
Speaker 1: it was easy to say he's just doing this for attention,

819
00:45:28,440 --> 00:45:30,520
Speaker 1: he loves Trump. Of course he loves Trump. He's a

820
00:45:30,600 --> 00:45:32,680
Speaker 1: narcist or whatever. You're like, well, now we're now we're

821
00:45:32,680 --> 00:45:35,560
Speaker 1: looking at something like really different and it's getting just

822
00:45:35,680 --> 00:45:37,920
Speaker 1: more sad. Like I used to be really angry at him,

823
00:45:38,080 --> 00:45:40,040
Speaker 1: but that was when I really thought, you're just doing

824
00:45:40,040 --> 00:45:42,440
Speaker 1: this because you're trying to promote your shitty albums that

825
00:45:42,440 --> 00:45:45,480
Speaker 1: aren't good right now, and you're doing whatever to regain relevance.

826
00:45:45,760 --> 00:45:48,360
Speaker 1: And now it's like now seeing video of him, like

827
00:45:48,480 --> 00:45:51,680
Speaker 1: try and engage someone on a really like logical level

828
00:45:51,680 --> 00:45:54,640
Speaker 1: and failing to do that becauset me start looking at like, oh,

829
00:45:54,760 --> 00:45:57,160
Speaker 1: come on, like and weren't some of these artists who

830
00:45:57,160 --> 00:45:59,120
Speaker 1: were out there with him. I mean, I know you

831
00:45:59,120 --> 00:46:00,960
Speaker 1: can only say so much as to an adult, like,

832
00:46:01,239 --> 00:46:04,200
Speaker 1: but at some point you think someone is going to

833
00:46:04,280 --> 00:46:07,920
Speaker 1: really help him take control of himself. I don't know

834
00:46:07,960 --> 00:46:10,440
Speaker 1: if going to Africa to finish the album is going

835
00:46:10,480 --> 00:46:13,400
Speaker 1: to help. I don't think it will. But you need's serious,

836
00:46:13,480 --> 00:46:16,880
Speaker 1: it's it's yeah, it's get yeah, it's getting dark posing

837
00:46:16,960 --> 00:46:21,600
Speaker 1: on the actual health issues. And you know, to your point,

838
00:46:22,600 --> 00:46:28,520
Speaker 1: the the thing like A Beautiful Mind portrays this version

839
00:46:28,560 --> 00:46:31,680
Speaker 1: of schizophrenia where you just see people who aren't there,

840
00:46:31,920 --> 00:46:36,240
Speaker 1: and uh, like it's actually like the real John Nash,

841
00:46:36,320 --> 00:46:39,239
Speaker 1: the dude who A Beautiful Mind is about. Like one

842
00:46:39,280 --> 00:46:41,640
Speaker 1: of the things that got him in trouble was he

843
00:46:42,080 --> 00:46:45,520
Speaker 1: had all these anti Semitic like rants that he would

844
00:46:45,560 --> 00:46:48,200
Speaker 1: like unleash in public and like so a lot of

845
00:46:48,200 --> 00:46:53,239
Speaker 1: times it's just like having crazy, like weird political beliefs

846
00:46:53,280 --> 00:46:56,120
Speaker 1: that like, you know, it doesn't it's not just like

847
00:46:56,160 --> 00:46:58,920
Speaker 1: a fun thing where you think you're in a chase

848
00:46:59,000 --> 00:47:02,560
Speaker 1: film or like a spy movie and you're actually just

849
00:47:02,840 --> 00:47:05,560
Speaker 1: in love with your wife and your wife's loves you.

850
00:47:05,600 --> 00:47:08,600
Speaker 1: Through schizophrenia, it's like it can be a lot more

851
00:47:08,640 --> 00:47:11,040
Speaker 1: messy than that. And for him it might just be

852
00:47:11,120 --> 00:47:14,759
Speaker 1: like a processing issue, you know, where again, a lot

853
00:47:14,760 --> 00:47:17,840
Speaker 1: of people with schizophrenia might not even believe what they're saying,

854
00:47:18,280 --> 00:47:21,879
Speaker 1: but some hallucination has given them a thought and they

855
00:47:21,920 --> 00:47:24,920
Speaker 1: don't have the process these to stop that thought like

856
00:47:24,960 --> 00:47:27,160
Speaker 1: we do um, and so it just comes out of

857
00:47:27,160 --> 00:47:29,600
Speaker 1: their mouth and they roll with it. And I think

858
00:47:29,640 --> 00:47:31,160
Speaker 1: Conye is a good example. When you saw him in

859
00:47:31,200 --> 00:47:34,560
Speaker 1: that TMZ interview, the first one where he went on

860
00:47:34,600 --> 00:47:36,319
Speaker 1: that really long like what was it like a two

861
00:47:36,320 --> 00:47:39,080
Speaker 1: hour or something, He just kept going and when when

862
00:47:39,120 --> 00:47:41,879
Speaker 1: somebody stopped him and gave him logic, you saw him

863
00:47:41,920 --> 00:47:45,279
Speaker 1: stop on camera. And that's what happens with people with

864
00:47:45,320 --> 00:47:47,080
Speaker 1: like a lot of these mentals. Like if I used

865
00:47:47,080 --> 00:47:49,200
Speaker 1: to talk to my aunt and I could give her logic,

866
00:47:49,320 --> 00:47:51,240
Speaker 1: she would like snap out of it. For a second

867
00:47:51,280 --> 00:47:54,800
Speaker 1: she'd be like, oh right, and so I just yeah,

868
00:47:54,880 --> 00:47:58,279
Speaker 1: I think he But it's odd too because now you

869
00:47:58,320 --> 00:48:00,239
Speaker 1: feel like TMZ, you know they do like a I've

870
00:48:00,280 --> 00:48:04,919
Speaker 1: interview with him, like they're kind of cashing you want

871
00:48:05,000 --> 00:48:09,040
Speaker 1: live crash footage, like come to TMZ and we'll just

872
00:48:09,120 --> 00:48:11,719
Speaker 1: like have this dude on and we know everyone's gonna

873
00:48:11,719 --> 00:48:15,000
Speaker 1: watch or whatever. But yeah, now again it's forcing at

874
00:48:15,080 --> 00:48:17,279
Speaker 1: least us to like kind of re evaluate how we

875
00:48:17,640 --> 00:48:19,400
Speaker 1: like want to talk about it, because again, it was

876
00:48:19,520 --> 00:48:21,480
Speaker 1: very easy to just go off the anger off of

877
00:48:21,880 --> 00:48:24,640
Speaker 1: thinking this person was one way, and now it's yeah,

878
00:48:24,640 --> 00:48:27,719
Speaker 1: it's it's very clearly just gone into other territory, much

879
00:48:27,760 --> 00:48:34,440
Speaker 1: darker territory. Yeah, Kim, come on. So there's some new polling.

880
00:48:34,480 --> 00:48:36,760
Speaker 1: We don't want to get too deep into the political weeds,

881
00:48:36,800 --> 00:48:40,040
Speaker 1: but just a new poll came out that was somewhat

882
00:48:40,080 --> 00:48:43,600
Speaker 1: interesting that just measured the gender gap between like, who

883
00:48:43,680 --> 00:48:48,520
Speaker 1: is supporting Republicans and Democrats in the upcoming mid terms. Yeah,

884
00:48:48,640 --> 00:48:51,239
Speaker 1: so Republicans have a five point edge with men. So

885
00:48:51,600 --> 00:48:56,200
Speaker 1: between likely voters, they pulled scent they would support Democrats.

886
00:48:56,239 --> 00:49:00,200
Speaker 1: Fifty one said they would support Republicans, but with win men.

887
00:49:00,280 --> 00:49:02,960
Speaker 1: It was much much larger, and a lot of this

888
00:49:03,080 --> 00:49:05,120
Speaker 1: polling took place over the last two weeks. So like

889
00:49:05,200 --> 00:49:07,960
Speaker 1: at the height of all this KAV and not BS.

890
00:49:08,080 --> 00:49:10,600
Speaker 1: And when you look at the polling, Democrats have a

891
00:49:10,640 --> 00:49:14,480
Speaker 1: fourteen point edge, so I only of women support Republican

892
00:49:14,520 --> 00:49:19,080
Speaker 1: candidate a Democratic candidate. Now, you know, we've seen where

893
00:49:19,080 --> 00:49:21,480
Speaker 1: polls have gotten us in the past, but I think

894
00:49:21,520 --> 00:49:25,120
Speaker 1: it is important to realize that clearly, like this whole

895
00:49:25,160 --> 00:49:28,960
Speaker 1: process has invigorated a group of people, and it's you know,

896
00:49:29,120 --> 00:49:31,719
Speaker 1: now we have to actually make sure that this manifests

897
00:49:31,719 --> 00:49:36,200
Speaker 1: into people. Today is the day to the register, yes,

898
00:49:36,239 --> 00:49:37,799
Speaker 1: and if you haven't. And I think also another thing

899
00:49:38,000 --> 00:49:39,799
Speaker 1: to be that's important too is I know a lot

900
00:49:39,840 --> 00:49:42,560
Speaker 1: of people go I'm taking every person I know to

901
00:49:42,760 --> 00:49:45,160
Speaker 1: the to the polls. Now, that could be good, But

902
00:49:45,239 --> 00:49:47,560
Speaker 1: what about the people whose contact numbers you still have

903
00:49:47,640 --> 00:49:49,399
Speaker 1: on your phone that you don't talk to all the time.

904
00:49:49,600 --> 00:49:51,880
Speaker 1: You should also call them too, Because of course the

905
00:49:51,880 --> 00:49:54,320
Speaker 1: people who are in your immediate circle you are gonna

906
00:49:54,600 --> 00:49:57,799
Speaker 1: probably be riding the same wavelength in terms of your

907
00:49:57,800 --> 00:50:00,960
Speaker 1: political activism. But what about that old coal worker that

908
00:50:01,000 --> 00:50:02,719
Speaker 1: you text from time and again? You know, you don't

909
00:50:02,719 --> 00:50:05,839
Speaker 1: really not sure about their politics, Engage them. Engage like,

910
00:50:05,880 --> 00:50:07,279
Speaker 1: I mean, you have a phone, You have a phone

911
00:50:07,320 --> 00:50:09,880
Speaker 1: list of people already who are probably likely voters. You

912
00:50:09,880 --> 00:50:12,359
Speaker 1: can engage those people doing I realize there are many

913
00:50:12,400 --> 00:50:14,560
Speaker 1: people who I think of like, oh yeah, I'm good

914
00:50:14,600 --> 00:50:16,600
Speaker 1: everybody I know is voting. But then there are also

915
00:50:16,600 --> 00:50:19,640
Speaker 1: people I know who I communicate with, who I think

916
00:50:19,680 --> 00:50:23,120
Speaker 1: about them, like I wonder if that motherfucker actually votes. Yeah,

917
00:50:23,200 --> 00:50:25,160
Speaker 1: that's a good point. I actually never thought of that too,

918
00:50:25,320 --> 00:50:27,399
Speaker 1: just like going through your phone and being like, hey,

919
00:50:27,800 --> 00:50:30,000
Speaker 1: did you, like are you voting? Vote? Hey, I don't

920
00:50:30,000 --> 00:50:32,440
Speaker 1: have talking to what rested to vote? You're not one

921
00:50:32,440 --> 00:50:36,439
Speaker 1: of these non voting motherfucker's right vote? Um? Yeah? I mean,

922
00:50:36,960 --> 00:50:39,480
Speaker 1: like the question I keep asking is like, what's going

923
00:50:39,520 --> 00:50:42,520
Speaker 1: to be different this time? Because last time, you know,

924
00:50:42,560 --> 00:50:46,000
Speaker 1: people felt pretty confident on the Democratic side heading into

925
00:50:46,040 --> 00:50:50,920
Speaker 1: the election, and it was just all that disaster. So

926
00:50:51,000 --> 00:50:54,960
Speaker 1: what's gonna be different? Are people? Is people's enthusiasm going

927
00:50:55,000 --> 00:50:57,200
Speaker 1: to be different? And I feel like the only thing

928
00:50:57,239 --> 00:50:59,239
Speaker 1: you can guarantee is going to be different is what

929
00:50:59,320 --> 00:51:02,279
Speaker 1: you do. So I mean, if you're you know, try

930
00:51:02,440 --> 00:51:04,959
Speaker 1: try doing a phone bank for the first time. Yeah,

931
00:51:05,160 --> 00:51:06,840
Speaker 1: you know, I was telling you guys that I have

932
00:51:06,920 --> 00:51:11,360
Speaker 1: a lot of Republican friends. Um, even though Eileen left,

933
00:51:11,400 --> 00:51:16,359
Speaker 1: I have no I'm very that's I like everybody. But

934
00:51:16,680 --> 00:51:19,680
Speaker 1: they would always tell me. They were really proud after

935
00:51:19,719 --> 00:51:22,400
Speaker 1: the last election to tell me that they are the

936
00:51:22,440 --> 00:51:24,919
Speaker 1: type of people that will not talk about it out loud,

937
00:51:24,960 --> 00:51:27,439
Speaker 1: but they'll show up at the pools. Um. So those

938
00:51:27,440 --> 00:51:30,640
Speaker 1: are the things that we need to people with shame.

939
00:51:32,320 --> 00:51:34,480
Speaker 1: They're just like, you know what, we don't need to

940
00:51:34,480 --> 00:51:36,640
Speaker 1: tell anybody. We're just going to show you. And so

941
00:51:36,680 --> 00:51:39,000
Speaker 1: I think, like I hope, I hope everybody feels that

942
00:51:39,040 --> 00:51:43,879
Speaker 1: way with whatever way you're leaning. Just talk about all

943
00:51:43,920 --> 00:51:47,400
Speaker 1: this talk about a blue wave is making Republicans laugh.

944
00:51:47,680 --> 00:51:50,040
Speaker 1: They're laughing at his folks. Yeah, there no, But I

945
00:51:50,080 --> 00:51:53,680
Speaker 1: mean honestly, they're like Democrats are very emotional, but they

946
00:51:53,719 --> 00:51:55,799
Speaker 1: don't actually back it up. I think the difference is

947
00:51:55,800 --> 00:51:59,200
Speaker 1: we felt are people who were progressive felt that when

948
00:51:59,200 --> 00:52:01,560
Speaker 1: it came down to the binary choice between Donald Trump

949
00:52:01,560 --> 00:52:03,400
Speaker 1: and Hilly Clint, it was clear and it was just

950
00:52:03,440 --> 00:52:06,640
Speaker 1: like complacency. Basically, you're like, oh, it's fine, and now

951
00:52:06,800 --> 00:52:08,680
Speaker 1: you have many more people who are angry and have

952
00:52:08,719 --> 00:52:13,160
Speaker 1: a purpose and hopefully that people can actually make sure

953
00:52:13,440 --> 00:52:18,239
Speaker 1: we but it has che they don't count on it.

954
00:52:18,880 --> 00:52:20,719
Speaker 1: I feel angry too, and that's why I'm like looking

955
00:52:20,760 --> 00:52:22,719
Speaker 1: at my phone and I'm like, wait, what about you

956
00:52:22,960 --> 00:52:26,040
Speaker 1: person I don't really talk to about politics? Are you voting?

957
00:52:26,120 --> 00:52:28,560
Speaker 1: Because I can? I'm I can be pretty persuasive with

958
00:52:28,600 --> 00:52:31,680
Speaker 1: people I know. Uh, And that's definitely just step one

959
00:52:31,719 --> 00:52:33,960
Speaker 1: of many steps you can take to participate in this.

960
00:52:34,040 --> 00:52:37,000
Speaker 1: Even my mom she's like, what do I do again?

961
00:52:37,040 --> 00:52:39,000
Speaker 1: I don't know why's telling like subs heirent African person,

962
00:52:39,200 --> 00:52:41,200
Speaker 1: But I was like make sure. I was like, talk

963
00:52:41,280 --> 00:52:42,960
Speaker 1: to all the Japanese people, you know, because I know

964
00:52:43,040 --> 00:52:46,160
Speaker 1: you can. You know, you're very tapped into the Japanese community.

965
00:52:46,320 --> 00:52:49,200
Speaker 1: You can call other states that have Japanese populations and

966
00:52:49,239 --> 00:52:51,480
Speaker 1: make sure you you can use your same level of

967
00:52:51,760 --> 00:52:53,799
Speaker 1: you know, she's she's a very good speaker and things

968
00:52:53,840 --> 00:52:56,920
Speaker 1: like that to convince people or motivate them to vote.

969
00:52:57,680 --> 00:52:59,440
Speaker 1: There's many things you can do. It's not just about

970
00:52:59,640 --> 00:53:02,160
Speaker 1: what do I do to literally reverse all the wrongs

971
00:53:02,200 --> 00:53:06,040
Speaker 1: of Republicans And that is overwhelming. That is start, But

972
00:53:06,080 --> 00:53:08,399
Speaker 1: I think maybe that's why Taylor Swift took so long too,

973
00:53:08,440 --> 00:53:11,200
Speaker 1: because like in the first time, I really think everybody

974
00:53:11,239 --> 00:53:13,200
Speaker 1: thought that it was going to go one way, and

975
00:53:13,560 --> 00:53:16,040
Speaker 1: she saw what Nike did. She saw a Nike just

976
00:53:16,120 --> 00:53:18,840
Speaker 1: like I think it's good for a brand. At the

977
00:53:18,880 --> 00:53:21,360
Speaker 1: same time, I do think I think she's going to

978
00:53:21,440 --> 00:53:23,279
Speaker 1: lose fans over this, so I don't think this is

979
00:53:23,320 --> 00:53:26,080
Speaker 1: totally like she will, but I think she'll gain again.

980
00:53:26,200 --> 00:53:28,640
Speaker 1: She's what like the in the Top ten Most Powerful

981
00:53:28,680 --> 00:53:31,000
Speaker 1: Women on Earth or some ship like in those lists.

982
00:53:31,400 --> 00:53:34,640
Speaker 1: I have a feeling just for her alienating a subset

983
00:53:34,640 --> 00:53:37,480
Speaker 1: of people in one country, or maybe it was all

984
00:53:37,520 --> 00:53:40,680
Speaker 1: over the beef with Katy Perry because Katy Perry was

985
00:53:40,719 --> 00:53:43,120
Speaker 1: so vocally supportive of Hillary and she's like, you know what,

986
00:53:43,200 --> 00:53:49,960
Speaker 1: you know you shared a stage with her, Nope, NOPEU

987
00:53:50,239 --> 00:53:52,520
Speaker 1: with her. Yeah, you know that they had long beef

988
00:53:53,640 --> 00:53:56,040
Speaker 1: and Katie to give her like a legit olive tree

989
00:53:56,160 --> 00:54:02,000
Speaker 1: or something like to apologize you, and she's like an

990
00:54:02,120 --> 00:54:06,160
Speaker 1: entire tree because you're with Katie. So the last story

991
00:54:06,160 --> 00:54:10,520
Speaker 1: we wanted to talk about today is that Banksy had

992
00:54:10,560 --> 00:54:14,440
Speaker 1: a piece of art, the Girl with Balloon, that was

993
00:54:14,520 --> 00:54:17,800
Speaker 1: sold this weekend and an auction at Sotheby's and it

994
00:54:17,960 --> 00:54:20,799
Speaker 1: sold for just over one point three million dollars. And

995
00:54:21,040 --> 00:54:24,080
Speaker 1: right as the gavel was struck to end the bidding,

996
00:54:24,560 --> 00:54:28,360
Speaker 1: the piece started shredding itself. There was a shredder hidden

997
00:54:28,600 --> 00:54:32,759
Speaker 1: in the frame. It was pretty crazy if it is

998
00:54:33,120 --> 00:54:34,920
Speaker 1: what they say it is, which is just that he

999
00:54:35,000 --> 00:54:38,279
Speaker 1: hid it in there like years ago. Some people are skeptical,

1000
00:54:38,760 --> 00:54:43,760
Speaker 1: namely superproducer Nick Stump. Nick thinks this is too cute

1001
00:54:43,800 --> 00:54:47,640
Speaker 1: to be like real. He was saying, it's like the

1002
00:54:47,680 --> 00:54:50,360
Speaker 1: painting will now be worth more money. It is, and

1003
00:54:50,440 --> 00:54:53,520
Speaker 1: it is because of the spectacle, and I think you

1004
00:54:53,600 --> 00:54:56,880
Speaker 1: know again, Nick says he's on the super cynical side,

1005
00:54:56,880 --> 00:54:59,720
Speaker 1: which I understand because you look at it. The painting

1006
00:55:00,040 --> 00:55:03,680
Speaker 1: only half shredded, it can still be displayed. The value

1007
00:55:03,719 --> 00:55:07,239
Speaker 1: has gone up, So from that side, it's like this

1008
00:55:07,360 --> 00:55:10,560
Speaker 1: was a win in every dimension. On one side, I

1009
00:55:10,600 --> 00:55:15,000
Speaker 1: can also see if you look at supposedly what banks

1010
00:55:15,000 --> 00:55:17,120
Speaker 1: He's ethos was like, you know a lot of most

1011
00:55:17,120 --> 00:55:19,480
Speaker 1: of his pieces are on the street and people have

1012
00:55:19,560 --> 00:55:22,080
Speaker 1: to like cut shit out of walls and things to

1013
00:55:22,200 --> 00:55:24,759
Speaker 1: sell it. It's never really like he's making a piece

1014
00:55:24,800 --> 00:55:26,640
Speaker 1: and does a gallery show and everything's on sale, like

1015
00:55:26,680 --> 00:55:28,759
Speaker 1: it's just it's out in the world and people have

1016
00:55:28,840 --> 00:55:30,880
Speaker 1: to take it down to to sell it. Who's getting

1017
00:55:30,880 --> 00:55:33,520
Speaker 1: that money? Like, who where did this work come from?

1018
00:55:34,480 --> 00:55:36,200
Speaker 1: I'm not sure what the origins are. I mean, clearly,

1019
00:55:36,360 --> 00:55:38,880
Speaker 1: I think he mounted it in the frame because he

1020
00:55:38,960 --> 00:55:41,600
Speaker 1: knew that would most likely lead to it being sold

1021
00:55:41,719 --> 00:55:44,319
Speaker 1: in an auction, because most of the other things are

1022
00:55:44,360 --> 00:55:47,000
Speaker 1: not framed already. So by doing that, it was like

1023
00:55:47,080 --> 00:55:49,480
Speaker 1: he was baiting the art world to then take it

1024
00:55:49,600 --> 00:55:52,239
Speaker 1: and be like, oh, it's a framed Banksy piece, we

1025
00:55:52,280 --> 00:55:55,759
Speaker 1: can sell this. And on one side, I think, you know,

1026
00:55:56,560 --> 00:55:58,840
Speaker 1: because of his idea of like that his art is

1027
00:55:58,840 --> 00:56:00,719
Speaker 1: supposed to be just out there and it's at work

1028
00:56:00,719 --> 00:56:02,960
Speaker 1: of protest or vandalism, however you want to look at it.

1029
00:56:03,320 --> 00:56:06,680
Speaker 1: He's not really into the whole auction thing. And like

1030
00:56:06,840 --> 00:56:09,400
Speaker 1: some people say, like this is his act of protest

1031
00:56:09,480 --> 00:56:11,680
Speaker 1: by shredding his work, it's saying like, you know, you're

1032
00:56:11,719 --> 00:56:15,120
Speaker 1: taking works of protests or people's manifestations of their personal

1033
00:56:15,160 --> 00:56:19,560
Speaker 1: history or trauma, and it's becoming like decor for the wealthy,

1034
00:56:19,640 --> 00:56:23,080
Speaker 1: and the moment that it's sold, it becomes destroyed. And

1035
00:56:23,160 --> 00:56:25,960
Speaker 1: that's him saying this art isn't force, it's this in

1036
00:56:26,040 --> 00:56:28,520
Speaker 1: a commodity for you to buy in trade and things

1037
00:56:28,600 --> 00:56:30,520
Speaker 1: like that. This is just a work of art itself

1038
00:56:30,560 --> 00:56:32,600
Speaker 1: and trying to do that because the art world is

1039
00:56:32,800 --> 00:56:35,280
Speaker 1: wacky with money right now, Like it's the way people

1040
00:56:35,360 --> 00:56:38,520
Speaker 1: just invest in art now use it to hide shield

1041
00:56:38,520 --> 00:56:41,040
Speaker 1: themselves from taxes and shipped like that. It has all

1042
00:56:41,080 --> 00:56:43,520
Speaker 1: these other benefits for people, And I think there is

1043
00:56:43,520 --> 00:56:45,520
Speaker 1: an idea like in the art world, like yeah, like

1044
00:56:45,680 --> 00:56:48,040
Speaker 1: what's going on, Like it's kind of becoming a runaway train.

1045
00:56:48,360 --> 00:56:51,120
Speaker 1: But I can also see like if you're super cynical, yeah,

1046
00:56:51,160 --> 00:56:53,440
Speaker 1: maybe you do that. It ups the value. You can

1047
00:56:53,480 --> 00:56:55,359
Speaker 1: make a little money off the side. But I think

1048
00:56:55,360 --> 00:56:57,320
Speaker 1: at the very least, even if you like, you know,

1049
00:56:57,400 --> 00:56:59,320
Speaker 1: let's say he really was trying to do that to

1050
00:56:59,680 --> 00:57:02,520
Speaker 1: Van lies it. It's the irony though, is that even

1051
00:57:02,520 --> 00:57:06,040
Speaker 1: in his active protests, it actually exacerbates the very thing

1052
00:57:06,080 --> 00:57:10,040
Speaker 1: he was trying to fight. Is also just twisted. Do

1053
00:57:10,080 --> 00:57:12,560
Speaker 1: you think he was in the room he was or

1054
00:57:12,600 --> 00:57:17,000
Speaker 1: someone was because right and then somebody just like I

1055
00:57:17,120 --> 00:57:20,280
Speaker 1: had to press go and because I didn't watch it,

1056
00:57:20,360 --> 00:57:22,080
Speaker 1: but then it was like so curious, I was like,

1057
00:57:22,680 --> 00:57:26,400
Speaker 1: was there like an electronic pieces? Did these people not inspect? Well,

1058
00:57:26,440 --> 00:57:28,200
Speaker 1: they just look at it like what. I don't think

1059
00:57:28,200 --> 00:57:30,560
Speaker 1: they were going to ever dismantle it from the frame,

1060
00:57:30,640 --> 00:57:32,680
Speaker 1: like they just knew they had a thing that was framed.

1061
00:57:32,720 --> 00:57:35,720
Speaker 1: And then he uploaded a video of himself like before

1062
00:57:35,760 --> 00:57:38,240
Speaker 1: he put the piece up, installing the shredder in the frame.

1063
00:57:38,600 --> 00:57:41,320
Speaker 1: So he booby trapped it from the beginning like the

1064
00:57:41,360 --> 00:57:43,600
Speaker 1: second because it was like they try and do it,

1065
00:57:43,600 --> 00:57:45,920
Speaker 1: I'll shredded. And then so is it worth more for

1066
00:57:45,960 --> 00:57:48,480
Speaker 1: the person who bought it now? Well, that person now

1067
00:57:48,600 --> 00:57:50,360
Speaker 1: is holding a piece of art which is now the

1068
00:57:50,440 --> 00:57:54,840
Speaker 1: shredded banks, so that person it's worth more for them.

1069
00:57:55,240 --> 00:57:57,280
Speaker 1: So they bought it from one point eight right, And

1070
00:57:57,280 --> 00:57:59,560
Speaker 1: if then you say, like if it is as cynical

1071
00:57:59,600 --> 00:58:02,600
Speaker 1: as Nick's, that would be the wildest thing that he knew.

1072
00:58:02,600 --> 00:58:04,880
Speaker 1: The person that's like, you'll just buy it because as

1073
00:58:04,920 --> 00:58:06,680
Speaker 1: soon as I sad this ship is going up six,

1074
00:58:08,080 --> 00:58:10,800
Speaker 1: you imagine I want to see a movie about him.

1075
00:58:10,840 --> 00:58:13,760
Speaker 1: Is there a movie about him yet? Are you joking?

1076
00:58:14,280 --> 00:58:17,360
Speaker 1: It's called Exit through the Gift Shop? Really no idea,

1077
00:58:17,480 --> 00:58:19,440
Speaker 1: And it's made by him. It's made by him and

1078
00:58:19,480 --> 00:58:21,720
Speaker 1: that's why. That's the other thing too, is who the funk.

1079
00:58:21,920 --> 00:58:24,040
Speaker 1: We don't know who this motherfucker is. It could be

1080
00:58:24,080 --> 00:58:26,760
Speaker 1: a collective of artists. Other people think it's someone in

1081
00:58:26,840 --> 00:58:30,080
Speaker 1: massive attack because they've like mapped out their touring schedule

1082
00:58:30,160 --> 00:58:32,919
Speaker 1: with like places things have showed up and him being

1083
00:58:32,960 --> 00:58:36,600
Speaker 1: from or starting out in Bristol. But you know, I

1084
00:58:36,600 --> 00:58:42,000
Speaker 1: think it's funny. It's fun, but some people more cynical. Yeah,

1085
00:58:42,080 --> 00:58:44,160
Speaker 1: that's a that's a good movie. They'll check it out. Yeah,

1086
00:58:44,240 --> 00:58:47,240
Speaker 1: well I clearly don't. I'm not up on my there's

1087
00:58:47,280 --> 00:58:50,400
Speaker 1: also apparently super producer Nextump says there's another film called Banks.

1088
00:58:50,440 --> 00:58:53,760
Speaker 1: He's coming for dinner. Okay, Well, Natasha, it's been a

1089
00:58:53,760 --> 00:58:58,760
Speaker 1: pleasure having you one year and every episode. Thank you

1090
00:58:58,800 --> 00:59:00,920
Speaker 1: so much for the birds. Thank you so much. With

1091
00:59:01,000 --> 00:59:06,000
Speaker 1: a little sparrow delicious. Where can people find you? Follow you?

1092
00:59:06,000 --> 00:59:09,680
Speaker 1: You can check out the Kind of Dating podcast wherever

1093
00:59:09,720 --> 00:59:12,520
Speaker 1: you find your podcasts um And we're on social media

1094
00:59:12,560 --> 00:59:15,200
Speaker 1: at kind of Dating across the Board and I am

1095
00:59:15,280 --> 00:59:20,880
Speaker 1: at Natasha Chandel on Facebook and Instagram, Natasha Underscore Chandel

1096
00:59:21,040 --> 00:59:23,720
Speaker 1: on Twitter. All right, and is there a tweet that

1097
00:59:23,760 --> 00:59:28,280
Speaker 1: you've been enjoying a tweet one specific tweet that's what

1098
00:59:28,360 --> 00:59:31,680
Speaker 1: we are, um that I have been enjoying. Oh I

1099
00:59:31,720 --> 00:59:36,360
Speaker 1: know this one. I love this. There's sort of two related.

1100
00:59:36,360 --> 00:59:38,680
Speaker 1: One was a response, but it was Ken Jong saying

1101
00:59:38,720 --> 00:59:42,200
Speaker 1: thank you Aquafina for kicking that door wide open because

1102
00:59:42,240 --> 00:59:46,200
Speaker 1: she hosted SNL And then she tweeted him back saying

1103
00:59:46,200 --> 00:59:49,400
Speaker 1: love you, Papa Fina. You inspire me every day and

1104
00:59:49,480 --> 00:59:53,480
Speaker 1: just melted my heart because they're both fucking amazing. Yeah

1105
00:59:53,520 --> 00:59:56,520
Speaker 1: they really are, and that was a great moment. Hell

1106
00:59:56,640 --> 01:00:00,680
Speaker 1: yeah he's a good guy. Yeah, I really real. I

1107
01:00:00,720 --> 01:00:04,800
Speaker 1: want to kick it with Aquafina. Yeah real doctor? Yeah, yes,

1108
01:00:04,800 --> 01:00:06,360
Speaker 1: where can people find you so you can find me?

1109
01:00:06,400 --> 01:00:09,680
Speaker 1: You can follow me, you can, you know, just support

1110
01:00:09,760 --> 01:00:12,480
Speaker 1: me emotionally and my journey to eat garlic bread at

1111
01:00:12,560 --> 01:00:15,720
Speaker 1: miles of Gray. And a tweet that I like now

1112
01:00:15,760 --> 01:00:18,200
Speaker 1: that you're here because you you talk about relationships. Uh.

1113
01:00:18,280 --> 01:00:20,760
Speaker 1: This this one resonated with me as anyone who has

1114
01:00:21,240 --> 01:00:23,840
Speaker 1: met someone one of your friends is dating and immediately

1115
01:00:23,920 --> 01:00:26,479
Speaker 1: had an opinion about this person. Uh. This is from

1116
01:00:26,720 --> 01:00:29,480
Speaker 1: at Rax King is Dead. Uh. It says, once I

1117
01:00:29,520 --> 01:00:32,160
Speaker 1: hate your boyfriend for you, there's no going back. I

1118
01:00:32,160 --> 01:00:34,560
Speaker 1: don't care that he apologized. I did this for you

1119
01:00:35,800 --> 01:00:38,480
Speaker 1: and that goes in any direction. I think anybody can

1120
01:00:38,600 --> 01:00:41,720
Speaker 1: identify with that. All right, you can follow me on Twitter,

1121
01:00:41,920 --> 01:00:51,360
Speaker 1: Jack and out loudly loud agreement. Uh, okay, Uh, you

1122
01:00:51,360 --> 01:00:54,520
Speaker 1: can follow me on Twitter, Jack underscore. Oh, Brian tweet

1123
01:00:54,520 --> 01:00:57,960
Speaker 1: I've been enjoying is from j Dweck at the Dwek.

1124
01:00:58,440 --> 01:01:02,280
Speaker 1: She tweeted a picture of Brett Kavanaugh being sworn in

1125
01:01:03,000 --> 01:01:05,080
Speaker 1: with his hand on the Bible and she said he's

1126
01:01:05,080 --> 01:01:09,520
Speaker 1: holding down the Bible so it won't scream. Uh. A

1127
01:01:09,600 --> 01:01:13,280
Speaker 1: great tweet. And yeah, you can follow us on Twitter

1128
01:01:13,360 --> 01:01:16,480
Speaker 1: at Daily Zeitgeist. We're at the Daily Zeitgeist on Instagram,

1129
01:01:16,840 --> 01:01:19,520
Speaker 1: we have Facebook fan page and a website, Daily zigeist

1130
01:01:19,560 --> 01:01:21,680
Speaker 1: dot com, where we post our episodes on our footes.

1131
01:01:22,000 --> 01:01:23,919
Speaker 1: We link off to the information that we talked about

1132
01:01:23,920 --> 01:01:26,040
Speaker 1: in today's episode, as well as the songs we write

1133
01:01:26,040 --> 01:01:29,400
Speaker 1: out on You can also find that information in the

1134
01:01:29,640 --> 01:01:34,400
Speaker 1: episode notes. Also, of course, big shout out to super

1135
01:01:34,440 --> 01:01:38,920
Speaker 1: producers on a HOSIEA and super producing Nick Stump, who

1136
01:01:39,240 --> 01:01:41,520
Speaker 1: I said that as though on a Hosniea is two people,

1137
01:01:41,680 --> 01:01:45,560
Speaker 1: she has just one for making this podcast possible for

1138
01:01:45,880 --> 01:01:49,400
Speaker 1: a year making this thing running, making it sound good. Uh,

1139
01:01:49,480 --> 01:01:53,120
Speaker 1: super producer on a Hosnia, bringing all these wonderful talented

1140
01:01:53,160 --> 01:01:57,560
Speaker 1: people like Natasha into our studio. Yet the show I

1141
01:01:57,600 --> 01:02:01,480
Speaker 1: couldn't run without you. Guys. All right, Miles, what song

1142
01:02:01,520 --> 01:02:04,640
Speaker 1: are we going to ride out on today? Oh? Wow?

1143
01:02:04,960 --> 01:02:07,520
Speaker 1: Right out on year one into year two, one out

1144
01:02:07,880 --> 01:02:11,160
Speaker 1: year one, going in the year to the whole tone. Well,

1145
01:02:11,960 --> 01:02:14,880
Speaker 1: count on this to be So this isn't a real message,

1146
01:02:14,920 --> 01:02:18,200
Speaker 1: but this is a song from Wayne Snow, who is

1147
01:02:18,240 --> 01:02:22,560
Speaker 1: just holding down the fibe of just that. I don't

1148
01:02:22,560 --> 01:02:25,680
Speaker 1: know that like now Roger. She produced type in you

1149
01:02:25,680 --> 01:02:27,960
Speaker 1: know style that I love so much. Uh. And this

1150
01:02:28,000 --> 01:02:30,760
Speaker 1: is a track called nothing Wrong by Wayne Snow. And

1151
01:02:30,920 --> 01:02:32,919
Speaker 1: you know, guys, I dare you to listen to this.

1152
01:02:33,280 --> 01:02:36,240
Speaker 1: And if honey doesn't enter your hips immediately and your

1153
01:02:36,240 --> 01:02:38,680
Speaker 1: big toe just does not shoot up in your boot,

1154
01:02:39,440 --> 01:02:41,480
Speaker 1: check your pulse because you might be dead. Have we

1155
01:02:41,520 --> 01:02:44,160
Speaker 1: ever played that clip saying nah? But if come to

1156
01:02:44,160 --> 01:02:46,640
Speaker 1: the live show, you will watch I will do a

1157
01:02:46,640 --> 01:02:49,520
Speaker 1: play by play breakdown of the origin of make my

1158
01:02:49,560 --> 01:02:52,240
Speaker 1: big toe shoot up in my boots and you can

1159
01:02:52,240 --> 01:02:55,440
Speaker 1: see that. December one in Chicago, look for tickets that

1160
01:02:55,520 --> 01:02:58,560
Speaker 1: will be at the Chicago Podcast Fest. Your mouth pleasing

1161
01:02:58,560 --> 01:03:01,439
Speaker 1: sport Alright, we're gonna write out on that. We will

1162
01:03:01,480 --> 01:03:04,480
Speaker 1: be back tomorrow because it is a daily podcast. We'll

1163
01:03:04,480 --> 01:03:40,400
Speaker 1: talk to you then. Nothing at all, Nothing at all,

1164
01:03:42,400 --> 01:03:54,040
Speaker 1: Her brother, don't you worry, thinks we'll be fine. No, no,

1165
01:03:55,800 --> 01:04:05,000
Speaker 1: it's nothing wrong in our struggle, She wearing of the book.

1166
01:04:06,720 --> 01:04:24,880
Speaker 1: Shut it along, stopper, all not all, nothing all nothing,

1167
01:04:25,040 --> 01:05:08,840
Speaker 1: all the e. We've come so far. Bread of ashes,

1168
01:05:11,680 --> 01:05:24,120
Speaker 1: who stays up over a We can't be free. I

1169
01:05:24,240 --> 01:05:29,120
Speaker 1: don't want a thing. It will be real