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Speaker 1: Hello the Internet, and oh leave it and welcome to

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Speaker 1: season three sixty three. I'm drowning in my own body

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Speaker 1: Season three sixty three, Episode four of Dar Dailey's Geist.

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Speaker 1: Remember this, Yeah, that was the Dean screen.

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Speaker 2: Know that that was when someone that was disqualifying.

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Speaker 3: Wait, what's crazy is I actually just pulled that up

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Speaker 3: to have as a like sound clip because I miss

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Speaker 3: I missed that the d scream. I feel like that's

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Speaker 3: actually something that we're missing in politics now, is a

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Speaker 3: rally prime.

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Speaker 1: It was like when the mainstream media had the power

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Speaker 1: to cancel someone on a win, just be like, your

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Speaker 1: campaign is over, asshole, because we got a funny little

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Speaker 1: clip of you sounding wild. Yeah yeah, no more mainstream media.

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Speaker 2: Looks like everybody stopped listening to you, and it's funny.

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Speaker 2: It was also because he was for a single pair healthcare.

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Speaker 1: Shit. Oh yeah, that's why I decided to freaking shit

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Speaker 1: fuck out of there. Yeah yeah, yeah, anyway, sorry, go on.

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Speaker 1: It's a production by Heart Radio.

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Speaker 3: Uh.

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Speaker 1: It is Thursday, November seventh, twenty twenty four. Miles. I

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Speaker 1: can't wait to find out what the national International days

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Speaker 1: are today.

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Speaker 2: I know, I know, I feel so fucking stupid. Saying

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Speaker 2: these right now, given everything that's going on. But it

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Speaker 2: is National retin All Day, so shout out this fucking skincare. Okay,

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Speaker 2: it's also these days, fucking suck dude. National Bittersweet Chocolate

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Speaker 2: with Almonds Day.

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Speaker 1: Huh.

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Speaker 2: National Canine Lymphoma Awareness Day.

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Speaker 1: Yeah, man, that's what I'm aware of today mainly.

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Speaker 2: And also yeah, National men make Dinner Day. Wow.

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Speaker 1: Wow, Hey, you've earned it, fellas, go out there and uh,

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Speaker 1: you know, spend all your political capital. God man, people

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Speaker 1: who like dark chocolate are so proud of that fact.

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Speaker 1: It's like such a weird political cause. But there's why

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Speaker 1: I actually like my chocolate to taste bad.

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Speaker 2: I like I like Hershey's Special Dark because that's the

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Speaker 2: closest I'll get like real dark chocolate.

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Speaker 1: I'm like, I like my candy to be so sweet.

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Speaker 3: What's what's happening with the Hershey's one?

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Speaker 2: Yeah, Yeah, that's the special dark Special Dark I'm okay with.

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Speaker 2: But like if you go to Trader Joe's or some

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Speaker 2: shit and like they're like dark chocolate stuff, there's stuff

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Speaker 2: I'm like.

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Speaker 1: A little too bittersweet for me. Anyway. I just like

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Speaker 1: I'm baby, so I like a little melt in your

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Speaker 1: mouth milk chocolate. And when people like your chocolate lover

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Speaker 1: like yes, oh so you like like bittersweet dark chocolate

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Speaker 1: with no sugar in it, that like makes makes you

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Speaker 1: have a makes your face contort. I'm like no, they're like, oh,

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Speaker 1: then you don't really like fuck with chocolate.

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Speaker 3: Is it? Because they're supposed to be like more of

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Speaker 3: a flavor profile with your yeah, dark chocolate, and it's

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Speaker 3: like yeah, like the finer things and you're.

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Speaker 1: Like probably good.

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Speaker 2: It's like for a wine, I'm drinking a smearanof ice

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Speaker 2: bro that is the.

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Speaker 1: Equivalent of my taste and chocolate is the tannins. Yeah

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Speaker 1: to wine experts, I prefer smearnoff ice. Yeah. Anyways, Uh,

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Speaker 1: my name's Jack O'Brien AKA. I'm not gonna do an AKA.

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Speaker 1: I do just want to shout out all the folks

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Speaker 1: in the Zeit gang who like still brought it this

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Speaker 1: morning just workman like showed up for work halcion salad,

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Speaker 1: dropping a banger in there. I just I don't have

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Speaker 1: it in me to do a super califragilistic xbalidocious AKA

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Speaker 1: about We'll get to it. The Trump existential crisis. I

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Speaker 1: think I will. I just don't have a song in

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Speaker 1: my heart this morning, but I do want to just

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Speaker 1: shout out Zeke Gang who were like, you know, writing

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Speaker 1: through the pain. I love you, Davis, Johnny Zero. Oh,

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Speaker 1: y'all appreciate it less than zero. Thank you all. I'm

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Speaker 1: thrilled to be joined as always by my co host,

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Speaker 1: mister Miles Gray.

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Speaker 2: You think Jack doesn't have the energy, well anyway, I mean, look,

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Speaker 2: we're still we're still recording this right after the election,

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Speaker 2: so we're still we're still reeling a bit. But we

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Speaker 2: had we had to.

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Speaker 1: Get on Mike. It's Wednesday morning.

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Speaker 2: Yeah, we still have to get on Mike because I

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Speaker 2: feel like the only way to really for me, at

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Speaker 2: least personally, to kind of have a just reckoning with

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Speaker 2: the reality is to talk about it as much as

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Speaker 2: I just kind of like, maybe I'll just fucking scroll

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Speaker 2: the internet and ship for you.

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Speaker 1: No, not doing that, but I can't.

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Speaker 2: Yeah, I'm putting it down. But anyway, it's great to

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Speaker 2: be here. It's Miles great. I still am the showgun

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Speaker 2: with no gun Ankersham.

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Speaker 1: Yeah. One thing is that they can't take from you.

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Speaker 2: If I've old guns can't take them from me.

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Speaker 1: That's exactly right. That's called They're gonna, They're gonna come.

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Speaker 1: That's what's gonna be one of their the weird arms

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Speaker 1: of this new fascism. They're gonna force guns into our

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Speaker 1: where your gun. You hadn't got one, they better get one.

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Speaker 1: You can be in trouble Miles. You're thrilled to be

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Speaker 1: joined in our third seat by a very funny comedian

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Speaker 1: and writer debut album. You must go check out. It's

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Speaker 1: accurately called Certified Delight. Please welcome Rachel Freed. Rachel, Wow, Wow,

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Speaker 1: Hey guys, the first time guests still showed up despite

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Speaker 1: what what this morning is.

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Speaker 3: But yeah, and I and I picked this. I got

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Speaker 3: a slew of dates and I said, you know what

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Speaker 3: sounds really good to me after the election, just to

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Speaker 3: see what happens. Huh, let's just really get to know

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Speaker 3: each other in a deep and meaningful way.

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Speaker 1: True truly.

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Speaker 2: Yeah, yeah, yeah, Where did you grow up?

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Speaker 1: Rachel?

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Speaker 3: I grew up in Long Beach, California.

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Speaker 2: Oh, l Beach? Okay, heard of it? Yeah, I have

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Speaker 2: my dad taught at cal State Long Beach.

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Speaker 3: Oh nice, that's my mater.

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Speaker 2: Oh shit, Okay forty what's up?

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Speaker 3: Yeah, yeah, no, I really stayed in Long Beach a

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Speaker 3: long time. But it's a it's a great city.

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Speaker 1: I love it.

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Speaker 3: I feel like as I get older in La more

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Speaker 3: and more people learn about it and they're like, actually,

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Speaker 3: Long Beach is kind of cool, and I'm.

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Speaker 1: Like, yeah, don't. People are like, have you tried to

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Speaker 1: park in Long Beach? It's really hard in some places, Like.

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Speaker 3: Yeah, it's like, well, we are still La County, Thank

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Speaker 3: you so much. That is the one similar tree.

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Speaker 1: Right, shout out super Victor, also from Long Beach or

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Speaker 1: having moved out here as I thought, Victor, Wait, did

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Speaker 1: you go to Long Beach or you're from Long Beach?

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Speaker 1: Victor speak up? Oh, he said me too. I didn't.

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Speaker 2: I thought I thought you were from cal State Long Beach. Baby, Yeah,

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Speaker 2: but you're not right, Victor.

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Speaker 1: No, I'm from Long.

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Speaker 2: Right, That's what I thought. Okay, Okay, see, I let

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Speaker 2: people know. I got to keep gotta keepep it man.

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Speaker 1: I thought Long Beach would be such a like I

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Speaker 1: would be there all the time based on nothing but

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Speaker 1: a g thing. Compton and Long Beach together, I mean

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Speaker 1: that sounds like your first week in California.

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Speaker 2: You're like I'm going to I'm going to go on

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Speaker 2: a Compton and together.

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Speaker 1: Yeah, sounds like a beautiful mixture. Like gin and juice,

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Speaker 1: another thing that I partook in much less as a

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Speaker 1: grown up than I thought I would.

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Speaker 2: Yeah yeah, yeah, well did you at all?

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Speaker 3: Did you ever dabble?

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Speaker 1: Were you? Like, let me see what a bad experience

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Speaker 1: with Are we talking about gin and juice or Long Beach?

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Speaker 3: We're talking about gin and juice first, Long Beach.

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Speaker 1: I had a bad experience with gin as like a

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Speaker 1: sixteen year old where I just drank warm gin for

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Speaker 1: a whole night and like was very sick for a

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Speaker 1: whole week and then never real a week. Yeah, man,

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Speaker 1: I was like alcohol poisoned. Oh no, yeah oh yeah yeah,

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Speaker 1: I was meeting alcohol did not go well together.

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Speaker 2: Yeah yeah, I'm glad you parted ways.

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Speaker 1: Yes, me too.

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Speaker 2: Yeah, I hate I just also I hate Jim. The

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Speaker 2: first time I was like, yeah, give me that Tanger

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Speaker 2: Ray and I was like.

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Speaker 3: Also, shout out what a great brand Tankeray. That is

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Speaker 3: so like that puts you right in our age group

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Speaker 3: of like yeah, we're singing about tank Ray. We're thinking

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Speaker 3: about yeah, like how many ads do I have imprinted

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Speaker 3: in my brain of.

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Speaker 2: Like watching Gang a tanger Ray, right, you know what

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Speaker 2: I mean? It also blew my mind was like it's

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Speaker 2: not with a G, that's a Q, which is.

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Speaker 3: Kind of crazy, dude.

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Speaker 1: Yeah, yeah, why is that? Because Q is the classy

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Speaker 1: version of G. You know, yeah, like a real classy.

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Speaker 2: I thought tanger Ray was like a cocktail with like tang.

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Speaker 1: Yeah, it does have I mean the marketing I once

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Speaker 1: read a magazine article about like the marketing guy behind

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Speaker 1: Gray Goose, and he was also the marketing guy behind

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Speaker 1: what's the what's the thing that the like a parrot

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Speaker 1: or the digestif that like everybody takes.

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Speaker 2: Like a borrow or yeah Fornett.

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Speaker 1: No no, like even a long time ago, the green.

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Speaker 2: Oh oh no no no, the German one with the Jagermeister.

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Speaker 1: Yeah, Like this person was just like made both of

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Speaker 1: those huge and like I feel, I feel like the

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Speaker 1: the smartest brains in America in the late twentieth century.

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Speaker 1: We're just going into marketing liquor, like naming tanger Ray

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Speaker 1: and you know, like.

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Speaker 2: This there like it's fine French wheat or something with

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Speaker 2: gray Goose to set it apart, like oh.

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Speaker 1: Shit, yeah, well goddamn fine French vodkaan in a wine bottle.

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Speaker 1: Don't mind if I do yeah with the cork. All right, Well, Rachel,

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Speaker 1: we do really appreciate you showing up, Yeah, record with

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Speaker 1: us today. It's been lovely getting to meet you. We're

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Speaker 1: going to get to know you a little bit better

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Speaker 1: in moment. First, some of the things we're talking about, well,

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Speaker 1: just look at the overall, like some of the metrics

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Speaker 1: that we do, we're looking at that. Yeah, just a

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Speaker 1: couple of very basic ones. Also Google searches that show

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Speaker 1: us just where the electorate was at in the day

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Speaker 1: leading up to the election. We will peer through the

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Speaker 1: bullshit to try to strain and find a couple of

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Speaker 1: bits of good news and just like an overall, our

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Speaker 1: writer JM actually watched like TV election results coming in.

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Speaker 1: They didn't watch them. I didn't watch it on TV.

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Speaker 2: No, man, fucking killed my brain watching channel.

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Speaker 1: It sounds like it was a real.

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Speaker 2: Dude, the fucking Daily Show thing was so hard to watch.

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Speaker 3: I didn't want I went to a bar last night.

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Speaker 3: It wasn't super crowded. They were also still doing trivia,

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Speaker 3: which I said, love the commitment. Loveday Trivia night, which

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Speaker 3: is beautiful and was kind of a nice distraction to

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Speaker 3: be like we're playing trivia, but also the elections happening.

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Speaker 3: It was so quiet in there. I'm assuming because people

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Speaker 3: learn from twenty sixteen to be like, we're staying, we're

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Speaker 3: doing this in private.

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Speaker 1: Now we're not. We're not.

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Speaker 2: There's a bar by me that was like, yeah, we're

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Speaker 2: not doing anything because we don't want to associate whatever

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Speaker 2: happens tonight with our bar in case it.

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Speaker 1: Goes very fair south and very it's a.

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Speaker 2: Very okay, good, good good. Yeah, don't let this be

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Speaker 2: the scene of absolute disappointment. I know somebody who like

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Speaker 2: was like having a viewing party, and I'm just like.

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Speaker 1: Oh yo, no, no. I couldn't even first, before everything

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Speaker 1: went to shit, I couldn't even look at food because

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Speaker 1: I was too nervous. And then once it started going

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Speaker 1: to shit, I was very glad I hadn't even thought

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Speaker 1: about food because I would not have. Yeah, it was bad,

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Speaker 1: but like to just be there doing like you know,

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Speaker 1: or dirvs Jesus in front of other people, just like

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Speaker 1: choking them down to sport.

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Speaker 3: Up a deviled egg. Yeah, I'm so glad I could

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Speaker 3: be in community.

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Speaker 1: Because I'd swallowed it whole like an aspirin because I

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Speaker 1: forgot to chew it. Anyways, all that plenty more, maybe

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Speaker 1: none of it. I don't know. We'll see what we

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Speaker 1: have the stamina to do.

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Speaker 2: But before we get to that therapy session, we don't

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Speaker 2: need people who are trying to be like, what can

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Speaker 2: we laugh?

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Speaker 1: Give us a week. I don't know, you know.

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Speaker 2: I said psilocybin might take me to the next plane

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Speaker 2: of existence. I think for a little bit, I need

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Speaker 2: to I need something. I need some people to get

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Speaker 2: out in nature, touch grass. I'm gonna ride my bike

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Speaker 2: so fucking hard.

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Speaker 1: Yeah, yeah, before we get to before we get to

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Speaker 1: the news, Rachel. We do like to get to know

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Speaker 1: our guests a little bit better by asking them, what

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Speaker 1: is something from your search history?

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Speaker 3: Okay, so something about me is that I'm a bit

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Speaker 3: of a freaking nerd. Hate to say it, but I

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Speaker 3: always love to google a little something and I will,

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Speaker 3: like currently I have sixty three tabs open on my phone.

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Speaker 3: Just I just hear a word and I go, let

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Speaker 3: me search that really quick, because I will come back

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Speaker 3: and learn so much about this. Do I know have

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Speaker 3: some of these been open since twenty nineteen.

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Speaker 2: Yes, hell yeah, I have one hundred and eighteen tabs open.

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Speaker 3: So okay, all right, I don't like to learn as

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Speaker 3: much as you guys got Oh No, I'm just I'm

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Speaker 3: it's so stupid.

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Speaker 2: I'm bad at following through on shit like cleaning up

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Speaker 2: my tabs. A seventy six or Magic game from last

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Speaker 2: season still open on my tabs, like that's that's that?

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Speaker 1: That could be?

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Speaker 2: This could be a new like segment or like oldest

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Speaker 2: tab on your phone they opened because my oldest one?

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Speaker 1: What is this puppies alternative? I can't imagine what the

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Speaker 1: fuck I was thinking like four years ago? Yeah, mine

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Speaker 1: was something about Trump visiting a black church. Damn I've

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Speaker 1: opened hundred eighteen tab since fucking June. Okay anyway, Wow,

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Speaker 1: I need to sort it out. Sorry to make this

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Speaker 1: all about ust Rachel. It's good. This is good.

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Speaker 3: It's a good jumping off way, and I also get

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Speaker 3: to learn about the booth of you hundreds of tabs.

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Speaker 1: Okay, so what were you? So? What were you looking up?

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Speaker 3: Okay? So, like the first thing that I have, the

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Speaker 3: first tab that I have opened, is a movie called

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Speaker 3: I Remember Mama that my grandma always told me to watch.

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Speaker 3: It's like it's some old movie that She was like,

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Speaker 3: I love this movie. It reminds me of my mom.

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Speaker 3: You have to She would just tell me I have

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Speaker 3: to watch a bunch of movies. I was like, okay.

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Speaker 3: I also have a hard time remembering things, so opening

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Speaker 3: a new tab is a great way for me to

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Speaker 3: remember things when I then remember that I have them

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Speaker 3: open right right, right.

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Speaker 1: Look.

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Speaker 3: I wanted to learn more about Catherine the Great because

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Speaker 3: I was watching The Great on Hulu, which was is

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Speaker 3: an excellent show, and I said, I want to learn

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Speaker 3: more about this broad got a tab open about pretty cool,

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Speaker 3: very very cool, very interesting, very progressive, very horny, very

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Speaker 3: horny lady.

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Speaker 1: And I honey, progressive woman leader.

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Speaker 3: Yeah, and I like that about her, and I think

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Speaker 3: we need more of that. I have a really smart

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Speaker 3: friend who's a philosopher of physics who one time dropped

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Speaker 3: the phrase law of non contradiction and I said, oh,

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Speaker 3: sounds like something I should also know, so I can

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Speaker 3: start saying the law of non contradiction around people and

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Speaker 3: sound very smart. Every time I read the first paragraph

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Speaker 3: of the wiki entry, I'm like, we're already I'm already lost.

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Speaker 1: Yeah, yeah, it's like you're going to.

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Speaker 3: Kind of yeah. I'm like, today's the day I will

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Speaker 3: understand it, and then I don't. But I keep it

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Speaker 3: open because I go, one day you will understand.

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Speaker 1: I believe myself.

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Speaker 3: You know, one day I won't understand. And uh, what

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Speaker 3: else do we have?

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Speaker 1: I believe nothing called the law non contradiction.

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Speaker 3: I was gonna say a lot of songs I want

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Speaker 3: to remember, or like the lyrics a year where I go,

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Speaker 3: how do I how do I get that? How do

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Speaker 3: I get that song?

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Speaker 1: Yeah? And uh, those are I mean, you've nailed it that.

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Speaker 1: I feel like I know you.

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Speaker 3: Thank you so much. The last thing I looked up

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Speaker 3: was the Watts Uprising, because I watched Love and Mercy

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Speaker 3: and then went on a deep dive about learning about

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Speaker 3: the Beach Boys, and then went on a different deep

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Speaker 3: dive about learning about Charles Manson, and somehow the Wats

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Speaker 3: Rides came up in between all that, and I said,

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Speaker 3: something I should know more.

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Speaker 1: About is Love and Mercy. Good?

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Speaker 3: It was good? Yeah, I liked it a lot. Paul

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Speaker 3: d'anno agreed.

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Speaker 2: Was the wait because what was what was Manson's deal

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Speaker 2: with the Beach Boys? Weren't they didn't they cross paths, right, Yeah.

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Speaker 3: He he globbed onto Dennis Wilson, the drummer, drummer and

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Speaker 3: was like he was just trying to get to a

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Speaker 3: record deal. And so through kind of like the free

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Speaker 3: love movement and Dennis Wilson letting a bunch of the

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Speaker 3: Manson family live in his house to the point where

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Speaker 3: he was like, actually, guys, I'm selling my house, so

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Speaker 3: you have to move out. Like he wouldn't kick them out,

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Speaker 3: he was like, I'm actually moving so you gotta go.

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Speaker 1: Oh did that move? He's like, I don't know how

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Speaker 1: to talk directly to them, like.

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Speaker 2: Dude, I don't know, like the house got sold. I

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Speaker 2: guess you guys got.

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Speaker 3: A Truly, it's like, my mom came home. She's so

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Speaker 3: mad that you.

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Speaker 1: Guys are coming home. Everybody everybody out out, murder, family

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Speaker 1: out out.

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Speaker 3: He also like fed them, kept them housed, and then

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Speaker 3: was also paying for all their medical bills because there

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Speaker 3: was a bunch of funereal disease going around because you

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Speaker 3: know they were Yeah, and so yeah, that's how that's

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Speaker 3: how they got connected.

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Speaker 1: That. Yeah, I love that He went to the Tate

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Speaker 1: to the house where Sharon Tate was because he had

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Speaker 1: been there before when a record producer was there and like, yeah,

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Speaker 1: that's he was just a guy with a song and

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Speaker 1: a dream man and.

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Speaker 3: Crazy race war ideas. Yeah it was nuts, but yeah,

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Speaker 3: he you know, he would he stopped at nothing for fame.

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Speaker 1: Yeah. The songs are bad, by the way, they're spooky

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Speaker 1: because they have that like Beach Boys reverb thing going on.

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Speaker 2: Yeah, but it just feels like, honestly, it sounds like

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Speaker 2: a nightmare.

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Speaker 1: Yeah. Yeah, it's like if I mean, if the Beach Boy,

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Speaker 1: if the Beach Boys had started a murder called I

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Speaker 1: guess their their music would also be spooky.

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Speaker 2: That ship would bang, though.

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Speaker 3: For sure they were doing that wall of sound situation.

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Speaker 2: I remember dating someone who earnestly would listen to that

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Speaker 2: Manson ship and I.

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Speaker 3: Was like, Oh, tell us more about that.

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Speaker 1: She was cool.

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Speaker 2: She was cool.

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Speaker 1: I don't know.

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Speaker 2: It was like I was like, oh, you listen to

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Speaker 2: all kinds of music. Have you heard Charles Manson? And

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Speaker 2: I was like what, And that's like that was when

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Speaker 2: I first got put onto it and I heard I

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Speaker 2: was like, Yo, this is fucking weird. Yeah, I don't know.

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Speaker 1: That whole there's that band Cult in the thoughts that

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00:19:07,720 --> 00:19:10,359
Speaker 1: were like pretty good and they had like that same

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Speaker 1: sort of jangly, reverb heavy sound, and like their whole

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Speaker 1: aesthetic was like we're people in a cult and we

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Speaker 1: sing about songs that people in a cult would sing about. Yeah,

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Speaker 1: and that lasted for like a couple of singles. You

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Speaker 1: would think that.

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Speaker 2: Would be like a total maybe grayish flag or reddish

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Speaker 2: flag maybe, but very sweet, person very empathetic. Just like

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Speaker 2: in the beginning, I was like, oh my god, this

385
00:19:36,160 --> 00:19:39,560
Speaker 2: motherfucker gonna kill me. And now they're like, that's so od.

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Speaker 2: They were in healthcare with like unfortunate people. I'm like, Okay,

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Speaker 2: you just got a lot of texture to your musical taste.

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Speaker 3: Texture is a beautiful adjectivity, euphemism.

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Speaker 1: Yeah, weird, very.

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Speaker 3: Kind someone a video I watched recently. If y'all or

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Speaker 3: any of your followers are into like an educational deep

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Speaker 3: dive video, which that is a lot out of my

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Speaker 3: YouTube watch history Sean Munger m U n g e

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Speaker 3: R on YouTube. He does like three there are three

395
00:20:08,440 --> 00:20:12,800
Speaker 3: hour videos villas, but they're so good. They're very educational.

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Speaker 3: He does everything from like a geographic perspective, so like

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Speaker 3: he'll tell a story and kind of drop you into

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Speaker 3: Google Earth places and show you how the story unfolds

399
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Speaker 3: through that as like visuals.

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Speaker 2: It's very interesting.

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00:20:24,800 --> 00:20:28,080
Speaker 3: So I watched his like Charles Manson mini doc I'll

402
00:20:28,080 --> 00:20:32,520
Speaker 3: call it, and he told the story through the geography

403
00:20:32,520 --> 00:20:35,880
Speaker 3: of the Manson family, which was really neat.

404
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Speaker 1: That sounds really cool. Is it a mini doc because

405
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Speaker 1: the screen is small? Or is it three hours long?

406
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Speaker 3: It's two and a half hours long. Okay, so I

407
00:20:44,760 --> 00:20:47,600
Speaker 3: get it's not a mini doc. It's a Maxie Dog.

408
00:20:47,960 --> 00:20:49,920
Speaker 3: It's mini mini screen Maxie time.

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00:20:50,119 --> 00:20:52,360
Speaker 1: There it is, right, Yeah, right, let's take a quick

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Speaker 1: break and we'll come back and talk about your overrated

411
00:20:54,359 --> 00:21:08,600
Speaker 1: and underrated. We'll be right back and we're back, Rachel.

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Speaker 1: We also like to ask our guests what's something you

413
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Speaker 1: think is underrated?

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Speaker 3: I well, honestly, in my heart, the first thing I

415
00:21:14,440 --> 00:21:17,399
Speaker 3: wanted to say was drag. Drag is art, which I

416
00:21:17,440 --> 00:21:20,720
Speaker 3: don't know that it's underrated really because it's it's in

417
00:21:20,800 --> 00:21:24,240
Speaker 3: pop culture in such a significant way, and yet I

418
00:21:24,280 --> 00:21:29,040
Speaker 3: still think there's not enough respect drag is an art.

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00:21:30,560 --> 00:21:32,760
Speaker 3: So that's that's honestly my answer.

420
00:21:33,320 --> 00:21:35,159
Speaker 2: Yeah, everyone should watch Paris is burning.

421
00:21:35,440 --> 00:21:38,920
Speaker 3: You know, everyone should watch Paris is Burning. I also

422
00:21:39,080 --> 00:21:41,760
Speaker 3: brought so many videos of like my favorite drag queen

423
00:21:41,800 --> 00:21:45,200
Speaker 3: moments to share as stuff that I will constantly reference

424
00:21:46,119 --> 00:21:48,199
Speaker 3: in conversation and be like, well, no one knows what

425
00:21:48,200 --> 00:21:49,679
Speaker 3: I'm talking about, so I have to go show you

426
00:21:49,720 --> 00:21:53,080
Speaker 3: this to get the context.

427
00:21:53,160 --> 00:21:54,879
Speaker 2: But that's what most of your tabs are that are

428
00:21:54,880 --> 00:21:57,320
Speaker 2: open ye references you.

429
00:21:58,119 --> 00:22:02,240
Speaker 1: Yeah, please look at Exhibit A. You'll understand the reference

430
00:22:02,280 --> 00:22:04,520
Speaker 1: I just made in conversation.

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00:22:05,040 --> 00:22:08,200
Speaker 3: I think a runner up though, for underrated is many tongs,

432
00:22:09,040 --> 00:22:12,200
Speaker 3: many tongues, Like in many kitchen you don't need a

433
00:22:12,280 --> 00:22:14,560
Speaker 3: long tongue. Sometimes you just need the mini.

434
00:22:14,600 --> 00:22:16,760
Speaker 1: What do you use the mini tongus for? I'm curious,

435
00:22:17,000 --> 00:22:17,800
Speaker 1: Thank you for asking.

436
00:22:18,000 --> 00:22:23,520
Speaker 3: Yeah, if you have just a like potato a hash

437
00:22:23,560 --> 00:22:25,919
Speaker 3: brown right that you're cooking in your oven and you

438
00:22:25,920 --> 00:22:26,640
Speaker 3: want to forget.

439
00:22:26,440 --> 00:22:30,440
Speaker 1: That the size of a McDonald's, you.

440
00:22:30,440 --> 00:22:32,240
Speaker 3: Just get the mini tongue because then you're not dealing

441
00:22:32,240 --> 00:22:34,760
Speaker 3: with the whole spatula in the oven that's wild and loose,

442
00:22:35,040 --> 00:22:38,359
Speaker 3: you know. But yeah, and then you can use it

443
00:22:38,400 --> 00:22:40,040
Speaker 3: if you have a piece of toast that it's like

444
00:22:40,160 --> 00:22:42,439
Speaker 3: lodged in your toaster don't put your knife in there.

445
00:22:42,440 --> 00:22:45,880
Speaker 2: Please, don't put in yeah, don't put metal in there?

446
00:22:46,119 --> 00:22:49,360
Speaker 1: Well like plastic rubber.

447
00:22:49,840 --> 00:22:51,720
Speaker 2: Yeah, wait, you don't have you don't have any man.

448
00:22:52,640 --> 00:22:55,160
Speaker 1: I'm trying to think of like how many were going here,

449
00:22:55,480 --> 00:22:57,040
Speaker 1: Like is it's just the one that just like a

450
00:22:57,119 --> 00:22:59,200
Speaker 1: bent piece of plastic or does it happen?

451
00:22:59,400 --> 00:23:01,879
Speaker 2: So there's your I feel like your typical tongues are

452
00:23:01,920 --> 00:23:05,320
Speaker 2: maybe like eleven inches twelve inches long. Yeah, we're talking like.

453
00:23:06,920 --> 00:23:09,159
Speaker 1: Okay, yeah, yeah, yeah, yeah, yeah, I think yeah, I

454
00:23:09,200 --> 00:23:11,040
Speaker 1: think I know what you're talking about, and they could they.

455
00:23:11,000 --> 00:23:15,000
Speaker 3: Could be just a similar piece. Look in his eyes,

456
00:23:15,000 --> 00:23:15,720
Speaker 3: he knows.

457
00:23:15,720 --> 00:23:18,439
Speaker 1: Yeah, yeah, oh yeah, many many tongues, yep.

458
00:23:18,359 --> 00:23:21,160
Speaker 2: He just for three whiskeys like this.

459
00:23:22,960 --> 00:23:23,720
Speaker 1: With my thumb.

460
00:23:25,240 --> 00:23:30,520
Speaker 2: No, not with your thumb, that's yeah.

461
00:23:30,840 --> 00:23:34,000
Speaker 1: I we have like multiple sides of tongues, and I

462
00:23:34,040 --> 00:23:37,920
Speaker 1: have found myself using the ones for the outdoor grill.

463
00:23:38,240 --> 00:23:42,560
Speaker 1: They're like super long, like to avoid having your eyelashes

464
00:23:42,680 --> 00:23:47,639
Speaker 1: and eyebrows and stuff, smart, like around the kitchen because

465
00:23:48,400 --> 00:23:54,040
Speaker 1: you know, I don't know where you're like your kid, Yeah,

466
00:23:54,200 --> 00:23:56,600
Speaker 1: just stands. I'm gonna need to move this piece of

467
00:23:56,600 --> 00:24:00,080
Speaker 1: furniture to use this. But we're gonna I love it.

468
00:24:00,080 --> 00:24:01,520
Speaker 3: It's it's like your own grabber.

469
00:24:02,080 --> 00:24:08,480
Speaker 1: Yeah, I'll just yeah, everything's with that tongue. If you

470
00:24:08,600 --> 00:24:13,119
Speaker 1: had to like create a like thing that permanently became

471
00:24:13,200 --> 00:24:16,119
Speaker 1: a tool that you could use on your body, like,

472
00:24:16,359 --> 00:24:20,360
Speaker 1: what tool would you use, like you know, like.

473
00:24:20,320 --> 00:24:23,600
Speaker 2: Incorporated as part of your physiology. Yeah, like you know

474
00:24:23,760 --> 00:24:27,960
Speaker 2: a lighter for arm. Oh yeah, lighter is a great answer.

475
00:24:27,359 --> 00:24:29,080
Speaker 3: Yea is a really good answer.

476
00:24:28,920 --> 00:24:31,239
Speaker 2: Because you could that's like you can you you can

477
00:24:31,320 --> 00:24:32,760
Speaker 2: help out and you can be like, yo, I can

478
00:24:32,800 --> 00:24:37,119
Speaker 2: burn this mother down.

479
00:24:36,000 --> 00:24:38,760
Speaker 3: If I brush up against a piece of furniture weird.

480
00:24:39,240 --> 00:24:42,600
Speaker 1: By Yeah, yeah, don't funk with me.

481
00:24:43,920 --> 00:24:46,120
Speaker 3: That's why I was like a knife is too crazy

482
00:24:46,160 --> 00:24:49,000
Speaker 3: because depending on where the appendage is, that's like you're

483
00:24:49,040 --> 00:24:52,560
Speaker 3: hurting people, you're ripping through stuff. I would say, I

484
00:24:52,600 --> 00:24:54,639
Speaker 3: mean a tong would be great because that's an extra arm,

485
00:24:54,680 --> 00:24:55,000
Speaker 3: that's an.

486
00:24:54,960 --> 00:24:58,439
Speaker 2: Extra appendage and resistant too.

487
00:24:58,520 --> 00:25:01,720
Speaker 1: I think we all learned scissor hands or pretty inconvenient, right,

488
00:25:01,760 --> 00:25:03,360
Speaker 1: although you don't want you know, if you get really

489
00:25:03,400 --> 00:25:04,760
Speaker 1: good with those, that could be Yeah.

490
00:25:04,640 --> 00:25:08,080
Speaker 3: Unless you want to be a fierce hairstylist, you would

491
00:25:08,080 --> 00:25:09,440
Speaker 3: blow up on TikTok.

492
00:25:09,200 --> 00:25:12,200
Speaker 2: You know that, Oh yeah, absolutely, any of the ship

493
00:25:12,320 --> 00:25:15,800
Speaker 2: he did, like whether it's like headge trimming or fucking

494
00:25:15,840 --> 00:25:19,520
Speaker 2: hairstyles if you pulled up like with your fucking scissor fingers,

495
00:25:19,520 --> 00:25:22,159
Speaker 2: people like this is and this is the person I

496
00:25:22,200 --> 00:25:26,280
Speaker 2: get my political takes from. And I'm glad I'm on

497
00:25:26,320 --> 00:25:28,160
Speaker 2: the right side of history.

498
00:25:28,560 --> 00:25:30,280
Speaker 1: What uh? What's some of these things over it?

499
00:25:31,960 --> 00:25:37,800
Speaker 3: I think I think food content creators. I've had a

500
00:25:37,840 --> 00:25:41,280
Speaker 3: real beef with food content creators. Do you guys follow

501
00:25:41,840 --> 00:25:44,840
Speaker 3: food content creators this as part of your day day viewing.

502
00:25:45,560 --> 00:25:48,159
Speaker 2: I don't follow them, but I am the content is

503
00:25:48,280 --> 00:25:50,960
Speaker 2: served to me via algorithm a lot on like TikTok

504
00:25:51,080 --> 00:25:53,439
Speaker 2: or Instagram, because I do. I like cooking so like

505
00:25:53,520 --> 00:25:57,000
Speaker 2: I couldn't name like specific influencers in terms of like

506
00:25:57,119 --> 00:25:59,600
Speaker 2: the people that do the cooking, but I mean I

507
00:25:59,800 --> 00:26:02,680
Speaker 2: I do see those sort of like viral recipes or

508
00:26:02,720 --> 00:26:05,160
Speaker 2: like when people are claiming to invent a new thing

509
00:26:05,200 --> 00:26:07,200
Speaker 2: that like people from another country have been doing for.

510
00:26:07,160 --> 00:26:11,600
Speaker 3: Like mosta I would say, even like recipe inventors or

511
00:26:11,640 --> 00:26:15,320
Speaker 3: whatever I can respect, but like people who specifically review

512
00:26:15,560 --> 00:26:18,040
Speaker 3: food or like restaurant reviewers, I would.

513
00:26:17,880 --> 00:26:19,960
Speaker 1: Say they got it.

514
00:26:20,520 --> 00:26:23,320
Speaker 3: Yeah not, I guess, not necessarily, like food content creators

515
00:26:23,320 --> 00:26:25,880
Speaker 3: in general, but specifically people who are like today, I'm

516
00:26:25,880 --> 00:26:28,320
Speaker 3: going to go review this, and then they go review

517
00:26:28,359 --> 00:26:30,440
Speaker 3: the restaurant, they show you the food, they take a bite,

518
00:26:30,440 --> 00:26:31,720
Speaker 3: and they go, wow, it's really good.

519
00:26:33,040 --> 00:26:35,400
Speaker 1: Well I could buy I can go do that.

520
00:26:35,400 --> 00:26:38,560
Speaker 3: That's crazy, not a single adjective insight. You're not going

521
00:26:38,640 --> 00:26:41,040
Speaker 3: to tell me anything about what this food is, where

522
00:26:41,040 --> 00:26:43,760
Speaker 3: it's coming from, who's making it. Who's like zero research,

523
00:26:43,880 --> 00:26:46,200
Speaker 3: just going today, Am I going to try this coffee shop?

524
00:26:46,240 --> 00:26:47,800
Speaker 3: And they take a sip of the macha and they.

525
00:26:47,640 --> 00:26:49,280
Speaker 1: Go, wow, that's nice.

526
00:26:49,800 --> 00:26:54,119
Speaker 3: Yeah, And that's it's I need more from y'all. I

527
00:26:54,119 --> 00:26:56,240
Speaker 3: need you to step your pussies up as it were.

528
00:26:56,440 --> 00:26:59,240
Speaker 1: You know, just give us, give me one more word

529
00:26:59,320 --> 00:27:01,479
Speaker 1: than good, please one more.

530
00:27:08,600 --> 00:27:10,720
Speaker 3: It's the kind of people who would go like, oh,

531
00:27:10,720 --> 00:27:13,600
Speaker 3: the machia tastes like machia, and you're like, well, yeah,

532
00:27:13,840 --> 00:27:14,560
Speaker 3: what's that telling me?

533
00:27:16,400 --> 00:27:22,840
Speaker 1: Yeah? Esque about who wrote that?

534
00:27:22,960 --> 00:27:26,640
Speaker 4: I don't know, man, something, but you see it too,

535
00:27:26,640 --> 00:27:29,280
Speaker 4: like when people always do like the cheese spread, like

536
00:27:29,320 --> 00:27:32,359
Speaker 4: the threading of melted cheese, you know, like this this

537
00:27:32,520 --> 00:27:33,200
Speaker 4: reminds you of one.

538
00:27:33,240 --> 00:27:35,080
Speaker 2: Was like, okay, like look at this worth the spot.

539
00:27:35,080 --> 00:27:36,080
Speaker 2: They're known for their grilled cheese.

540
00:27:36,119 --> 00:27:37,120
Speaker 1: Wow, look at that.

541
00:27:37,200 --> 00:27:40,520
Speaker 2: Look at that and then they eat and they're like, yeah, cheesy, Okay,

542
00:27:40,640 --> 00:27:41,080
Speaker 2: what else?

543
00:27:41,359 --> 00:27:44,000
Speaker 1: Is it? Perfectly toasted?

544
00:27:44,680 --> 00:27:48,560
Speaker 3: Is the chese sharp? Is it? Just like cheese is

545
00:27:48,560 --> 00:27:50,920
Speaker 3: a world of talking about We're talking about flavor profiles earlier,

546
00:27:51,000 --> 00:27:56,919
Speaker 3: right of chocolate. I'm like cheese, wide range vocabulary we

547
00:27:56,920 --> 00:27:59,840
Speaker 3: can use to describe it. And I love cheese, so

548
00:27:59,880 --> 00:28:01,359
Speaker 3: I want to know more about it other than like

549
00:28:01,800 --> 00:28:03,200
Speaker 3: the cheese exists on the bread.

550
00:28:03,760 --> 00:28:06,480
Speaker 2: Yeah, and it is it is. I think it's basically

551
00:28:06,520 --> 00:28:11,000
Speaker 2: at it so grilled to like very like grilled y.

552
00:28:11,800 --> 00:28:13,960
Speaker 2: It's like been exposed to like a lot of heat,

553
00:28:14,040 --> 00:28:16,359
Speaker 2: so it's like kind of more like gooey than like

554
00:28:16,480 --> 00:28:20,240
Speaker 2: hard cheese. So yeah, I would say gooey too.

555
00:28:20,720 --> 00:28:21,240
Speaker 1: Yeah.

556
00:28:21,280 --> 00:28:25,560
Speaker 2: Anyway, step it off, holes, yes, step it up, you

557
00:28:25,640 --> 00:28:26,440
Speaker 2: Boordan fan.

558
00:28:27,040 --> 00:28:29,840
Speaker 1: Is that like the level we're looking for, Jonathan Gold.

559
00:28:31,359 --> 00:28:34,600
Speaker 3: Not even because that's something that I don't need everyone. Yeah,

560
00:28:35,359 --> 00:28:37,960
Speaker 3: at that level, but I just need more than it

561
00:28:38,120 --> 00:28:41,320
Speaker 3: was good. If you're going to brand yourself as a

562
00:28:41,360 --> 00:28:44,400
Speaker 3: food reviewer, I need more than this was good or

563
00:28:44,440 --> 00:28:46,280
Speaker 3: this was bad because I can go do that and

564
00:28:46,320 --> 00:28:48,200
Speaker 3: I do like to go do that, so I don't

565
00:28:48,240 --> 00:28:50,200
Speaker 3: need you're not providing me a service. If you're going

566
00:28:50,280 --> 00:28:53,320
Speaker 3: to provide me a service, one more word about it.

567
00:28:53,440 --> 00:28:55,720
Speaker 2: Yeah, or you just be like it's good but like

568
00:28:55,920 --> 00:28:58,680
Speaker 2: not as good as the pictures looked as the way

569
00:28:58,720 --> 00:29:00,800
Speaker 2: I think I'm great.

570
00:29:00,920 --> 00:29:05,120
Speaker 1: Yeah, yeah, we've sort of level set here, bomb and

571
00:29:05,240 --> 00:29:07,560
Speaker 1: dank as like that was.

572
00:29:07,680 --> 00:29:10,880
Speaker 2: California VA California Food Reviews.

573
00:29:11,160 --> 00:29:14,840
Speaker 1: Damn it, it's really bomb. Actually, dude, this ship is dank,

574
00:29:14,960 --> 00:29:19,480
Speaker 1: Like that's actually below denk. It depends, it depends dank.

575
00:29:19,680 --> 00:29:21,760
Speaker 1: You know that all the dank question mark.

576
00:29:21,920 --> 00:29:24,320
Speaker 3: Yeah, dank depends if like weed is involved or not.

577
00:29:24,920 --> 00:29:28,080
Speaker 2: Yeah, right, right right, yeah, Like anyone who said food

578
00:29:28,160 --> 00:29:31,240
Speaker 2: was dank, ninety eight percent chance they were a weed

579
00:29:31,240 --> 00:29:33,680
Speaker 2: smoker too, And then like the two percent that did it,

580
00:29:33,680 --> 00:29:35,520
Speaker 2: they're like, what you don't call this bank?

581
00:29:35,960 --> 00:29:37,680
Speaker 3: Did you guys both grow up in California?

582
00:29:38,080 --> 00:29:39,560
Speaker 1: I grew up in La Yeah, I grew up in

583
00:29:39,600 --> 00:29:41,920
Speaker 1: the valley. Okay, I grew up all over the place,

584
00:29:42,000 --> 00:29:43,520
Speaker 1: but never in California.

585
00:29:43,680 --> 00:29:46,320
Speaker 3: Okay. That was such a I always ask people who

586
00:29:46,360 --> 00:29:48,760
Speaker 3: like grew up, at least in California, or especially in

587
00:29:48,800 --> 00:29:52,080
Speaker 3: southern California, because in high school, like Bomb and Dank

588
00:29:52,160 --> 00:29:56,000
Speaker 3: were such part of the vernacular of like Bomb, Dank,

589
00:29:56,200 --> 00:29:57,040
Speaker 3: bust a mission.

590
00:29:57,640 --> 00:30:02,320
Speaker 1: Yeah, miss dude, it's a mish. Now, you guys could

591
00:30:02,400 --> 00:30:04,760
Speaker 1: be making this up so to get me to agree

592
00:30:04,800 --> 00:30:05,800
Speaker 1: to it and then be like.

593
00:30:06,040 --> 00:30:10,360
Speaker 2: No, miss dude, go on a fucking miss.

594
00:30:10,880 --> 00:30:11,280
Speaker 1: Yeah.

595
00:30:11,360 --> 00:30:13,960
Speaker 3: Did you ever call like instead of saying that people

596
00:30:13,960 --> 00:30:16,160
Speaker 3: were hot, like girls were hot, they were breezy?

597
00:30:17,200 --> 00:30:20,400
Speaker 1: No, no, this is one thing. Yeah, was that a

598
00:30:20,440 --> 00:30:21,040
Speaker 1: long beast thing?

599
00:30:21,640 --> 00:30:23,680
Speaker 3: I guess I'm trying to figure out if it was

600
00:30:23,720 --> 00:30:26,920
Speaker 3: a long beach thing. But it was like she's breezy.

601
00:30:27,360 --> 00:30:30,080
Speaker 2: Yeah, well it could be aged because like I'm forty,

602
00:30:30,280 --> 00:30:31,760
Speaker 2: so I'm just.

603
00:30:33,040 --> 00:30:34,520
Speaker 1: I know, I'm a man.

604
00:30:36,960 --> 00:30:40,000
Speaker 3: Oh I'll be thirty four in December. So it's like,

605
00:30:40,400 --> 00:30:41,120
Speaker 3: I guess a couple.

606
00:30:41,680 --> 00:30:44,480
Speaker 2: I feel like, yeah, I may I may have just

607
00:30:44,600 --> 00:30:46,480
Speaker 2: missed the breezy movement.

608
00:30:47,440 --> 00:30:49,640
Speaker 3: But if if Bomb and Dank are still in there,

609
00:30:49,880 --> 00:30:50,440
Speaker 3: I feel.

610
00:30:50,200 --> 00:30:52,920
Speaker 2: Like Dank are timeless. Yeah exactly, I would just say

611
00:30:53,640 --> 00:30:57,200
Speaker 2: oh yeah yeah, yeah, like we would also, what else

612
00:30:57,240 --> 00:30:57,800
Speaker 2: did we say?

613
00:30:58,120 --> 00:31:01,800
Speaker 1: What should we say back? Like Breeze making out scamming

614
00:31:01,800 --> 00:31:10,480
Speaker 1: anything like scanning, Yeah, scamming, scamming, scamming, like, yes, scamming.

615
00:31:10,560 --> 00:31:13,760
Speaker 1: I was like a robotic way we scammed. Yeah.

616
00:31:14,520 --> 00:31:18,800
Speaker 3: Sex. At one point, I remember everyone was saying tax

617
00:31:18,920 --> 00:31:19,560
Speaker 3: we taxed.

618
00:31:21,720 --> 00:31:27,080
Speaker 1: Yeah, that really like to me, to my ears, sounds

619
00:31:27,120 --> 00:31:29,800
Speaker 1: like some ship that would like have you ever watched

620
00:31:29,960 --> 00:31:34,760
Speaker 1: the movie Juno and the way they talk. Everyone's like,

621
00:31:34,800 --> 00:31:38,520
Speaker 1: nobody fucking talks like that. It's like, yes, no, actually

622
00:31:38,760 --> 00:31:42,600
Speaker 1: they did for like a year, probably when Diablo Cody

623
00:31:42,800 --> 00:31:47,080
Speaker 1: was in high school, you know, like that everybody else's

624
00:31:47,160 --> 00:31:53,320
Speaker 1: high school slang sounds completely made up and fabricated text.

625
00:31:53,400 --> 00:31:56,680
Speaker 2: Yeah, we would just say hit you know, smash you

626
00:31:56,720 --> 00:31:58,320
Speaker 2: know smash typical.

627
00:31:59,280 --> 00:32:03,200
Speaker 4: Yeah, I actually do no whizz smashing this sand Also,

628
00:32:03,600 --> 00:32:05,440
Speaker 4: we used to say even I remember early on, like

629
00:32:05,480 --> 00:32:06,160
Speaker 4: early high school.

630
00:32:06,160 --> 00:32:07,360
Speaker 1: We will still be like they did it.

631
00:32:09,040 --> 00:32:12,840
Speaker 3: Yeah, we should bring that, we should bring that back.

632
00:32:13,440 --> 00:32:13,720
Speaker 1: Yeah.

633
00:32:13,960 --> 00:32:16,760
Speaker 2: With Project twenty twenty five, I'm sure that we will

634
00:32:16,760 --> 00:32:18,680
Speaker 2: be banned from using real descriptors so that.

635
00:32:18,920 --> 00:32:21,360
Speaker 3: Yeah, no, no, no language, no porn.

636
00:32:21,880 --> 00:32:23,280
Speaker 1: Yeah, under his eye.

637
00:32:24,160 --> 00:32:24,680
Speaker 3: I can't wait.

638
00:32:25,160 --> 00:32:29,200
Speaker 1: Yeah, gonna be so fun. Hey, speaking of that, just

639
00:32:29,280 --> 00:32:33,840
Speaker 1: real quick thing on the election, because this is something

640
00:32:33,880 --> 00:32:38,160
Speaker 1: that is controversial at this moment, at least the question of, hey,

641
00:32:38,200 --> 00:32:42,959
Speaker 1: what happened with election? And with ninety nine percent of

642
00:32:43,040 --> 00:32:48,000
Speaker 1: votes in Donald Trump has seventy one million votes, He's

643
00:32:48,000 --> 00:32:52,360
Speaker 1: gonna win the popular vote. Staggering, depressing, horrifying number that

644
00:32:52,520 --> 00:32:56,360
Speaker 1: is still behind the seventy four million he got when

645
00:32:56,560 --> 00:32:59,960
Speaker 1: he lost as the income in twenty twenty. I'm seeing

646
00:33:00,440 --> 00:33:02,920
Speaker 1: there's this one map that a lot of people are

647
00:33:03,000 --> 00:33:06,240
Speaker 1: liking to point to where it's full of red arrows,

648
00:33:06,480 --> 00:33:10,960
Speaker 1: and it yeah, it's saying, look, look, every America all

649
00:33:11,120 --> 00:33:14,200
Speaker 1: moved to the right. They moved so far to the right,

650
00:33:14,680 --> 00:33:20,880
Speaker 1: and because they're evil everyone around you, And so that

651
00:33:21,160 --> 00:33:24,360
Speaker 1: I think that's just important context that he actually got

652
00:33:24,400 --> 00:33:27,040
Speaker 1: fewer votes this time around than he did last time.

653
00:33:27,520 --> 00:33:31,760
Speaker 1: It is just that the Democrats got far fewer votes

654
00:33:32,000 --> 00:33:33,920
Speaker 1: than they did last time, far fewer.

655
00:33:34,080 --> 00:33:36,120
Speaker 2: Yea more than a right word shift. It feels like

656
00:33:37,320 --> 00:33:42,240
Speaker 2: absolutely just yeah, Democrats creator yeah. So it's also the

657
00:33:42,280 --> 00:33:44,719
Speaker 2: answer to like, how can you think the Democrats problem

658
00:33:44,800 --> 00:33:47,680
Speaker 2: was running far too far to the right, And I

659
00:33:47,680 --> 00:33:50,840
Speaker 2: think that that's your answer. They didn't do anything to

660
00:33:50,960 --> 00:33:54,400
Speaker 2: turn out Democrats right, which tends to be one of

661
00:33:54,600 --> 00:33:59,200
Speaker 2: one of their strategic shortcomings is that they but they

662
00:33:59,240 --> 00:34:02,200
Speaker 2: did convince like forty five people that it was worth

663
00:34:02,200 --> 00:34:04,800
Speaker 2: the Republicans it was worth voting for Kamala is the

664
00:34:05,120 --> 00:34:09,600
Speaker 2: statistically negligible the dad and daughter Cheney show that, Yeah,

665
00:34:09,719 --> 00:34:13,799
Speaker 2: trouncing around towards the home stretch forty Yeah, yeah, if

666
00:34:13,840 --> 00:34:17,080
Speaker 2: they actually got fewer Republican voters than they did last time.

667
00:34:17,080 --> 00:34:19,799
Speaker 1: But yeah, so I don't know that. I think that's

668
00:34:19,960 --> 00:34:27,120
Speaker 1: just relevant context because the Democratic strategist class is going

669
00:34:27,160 --> 00:34:31,560
Speaker 1: to come in and be like, America went so far

670
00:34:31,600 --> 00:34:34,400
Speaker 1: to the right. We just didn't go right hard enough,

671
00:34:34,880 --> 00:34:38,560
Speaker 1: right exactly, and like what we did, what we said

672
00:34:38,880 --> 00:34:42,120
Speaker 1: was the right answer. It's just that you didn't listen

673
00:34:42,200 --> 00:34:45,480
Speaker 1: to us enough. We should have gone. Oh, I don't know.

674
00:34:45,600 --> 00:34:47,400
Speaker 1: I don't know how they could have gone further to

675
00:34:47,440 --> 00:34:52,080
Speaker 1: the right. They had Dick Cheney, like, how the fuck

676
00:34:52,160 --> 00:34:55,680
Speaker 1: could you have possibly done that harder?

677
00:34:55,960 --> 00:34:59,960
Speaker 3: But I feel like the only difference between like Kamala

678
00:35:00,520 --> 00:35:03,520
Speaker 3: and Trump this is we're being hyperbolic here, but is

679
00:35:03,520 --> 00:35:06,200
Speaker 3: that like kamalawood under sentences with Sleigh where I'm like,

680
00:35:06,360 --> 00:35:10,200
Speaker 3: y'all have the exact same platform, but Luckily Charlie x

681
00:35:10,440 --> 00:35:13,160
Speaker 3: X called her brat, so it made it like somewhat

682
00:35:13,200 --> 00:35:15,960
Speaker 3: palatable to young progressive.

683
00:35:16,719 --> 00:35:20,399
Speaker 2: Yes, yeah, I think the biggest difference would have been

684
00:35:20,640 --> 00:35:24,040
Speaker 2: it there. It would have been a much slower de

685
00:35:24,239 --> 00:35:26,839
Speaker 2: evolution towards whatever Trump is going to bring. I think

686
00:35:26,960 --> 00:35:30,040
Speaker 2: is the biggest difference. And Trump is just an absolute accelerant.

687
00:35:30,120 --> 00:35:32,560
Speaker 2: But I think, if anything, what we the biggest fear

688
00:35:32,600 --> 00:35:35,640
Speaker 2: with Biden was he was saying I am the I

689
00:35:35,680 --> 00:35:38,719
Speaker 2: am the bridge. I am merely the bridge to a

690
00:35:38,760 --> 00:35:41,640
Speaker 2: new way of doing things, and like we got on

691
00:35:41,680 --> 00:35:43,040
Speaker 2: that bridge and like he crossed it, and you're like,

692
00:35:43,560 --> 00:35:47,040
Speaker 2: this is this a trick a trick bridge because I

693
00:35:47,040 --> 00:35:48,680
Speaker 2: crossed it and I'm on the other I'm on the

694
00:35:48,719 --> 00:35:50,680
Speaker 2: side I just came from.

695
00:35:50,719 --> 00:35:54,960
Speaker 1: Let me go back drawing of like a bridge, Like

696
00:35:55,000 --> 00:35:57,160
Speaker 1: what fucking bridge is this? Yeah?

697
00:35:57,200 --> 00:35:59,360
Speaker 2: So, I mean, you know, there's still there's also a

698
00:35:59,360 --> 00:36:02,160
Speaker 2: lot of people being like so much there's still votes missing,

699
00:36:02,239 --> 00:36:04,239
Speaker 2: and like, yeah, there are certain places where all the

700
00:36:04,600 --> 00:36:07,200
Speaker 2: votes have not been tabulated yet, but they're in states

701
00:36:07,239 --> 00:36:08,440
Speaker 2: that have already been decided.

702
00:36:08,480 --> 00:36:10,800
Speaker 3: Like it makes me so sad, Like part of me

703
00:36:10,960 --> 00:36:13,360
Speaker 3: was like because I did not no fans did not

704
00:36:13,400 --> 00:36:15,080
Speaker 3: have hope that Kamala was going to win this. Like

705
00:36:15,400 --> 00:36:17,320
Speaker 3: for a long time, I've been like, this is Trump

706
00:36:17,400 --> 00:36:20,360
Speaker 3: is going to win this again, just like statistically speaking,

707
00:36:20,440 --> 00:36:23,279
Speaker 3: and also like if we think about who's if we

708
00:36:23,280 --> 00:36:26,600
Speaker 3: think about donators right to the Republican Party to the

709
00:36:26,600 --> 00:36:29,359
Speaker 3: Democratic Party, it was leaning more Republican the entire time.

710
00:36:29,480 --> 00:36:31,439
Speaker 2: So it's like, yeah, when other billionaires, I'm like, how'd

711
00:36:31,480 --> 00:36:31,799
Speaker 2: y'all know?

712
00:36:32,320 --> 00:36:32,520
Speaker 1: Yeah?

713
00:36:32,600 --> 00:36:35,640
Speaker 3: Yeah, when when when black Rock is dumping money into

714
00:36:35,680 --> 00:36:40,439
Speaker 3: the Republican candidates? Yeah, I think so. But like part

715
00:36:40,440 --> 00:36:41,960
Speaker 3: of me was like, man, the next week is going

716
00:36:42,040 --> 00:36:44,319
Speaker 3: to be crazy for like bluing on conspiracy theory of

717
00:36:44,400 --> 00:36:46,720
Speaker 3: like they're not done counting the votes, and it's like, guys,

718
00:36:47,200 --> 00:36:48,560
Speaker 3: we got it.

719
00:36:48,680 --> 00:36:50,759
Speaker 2: We just I'm sorry that you can hang on to

720
00:36:50,880 --> 00:36:54,560
Speaker 2: this version. But I'm like, I think we've we've seen

721
00:36:55,200 --> 00:36:59,200
Speaker 2: the sort of the full predictable end of how establishment

722
00:36:59,239 --> 00:37:01,279
Speaker 2: of democratic part any politics what's gonna work, and this

723
00:37:01,360 --> 00:37:01,879
Speaker 2: is it.

724
00:37:02,360 --> 00:37:04,480
Speaker 1: I will just say all of these are like placeholder

725
00:37:04,560 --> 00:37:08,200
Speaker 1: takes until like Muller she wrote, hasn't really weighed in

726
00:37:08,440 --> 00:37:10,879
Speaker 1: quite yet, and so I'm just waiting to see where

727
00:37:10,920 --> 00:37:13,960
Speaker 1: we come down on that one. Ye, yeah, we'll see, Yeah,

728
00:37:14,200 --> 00:37:16,600
Speaker 1: that's always But I mean.

729
00:37:16,520 --> 00:37:18,480
Speaker 2: I think the other the other thing too is like,

730
00:37:18,640 --> 00:37:21,920
Speaker 2: aside from our people moving to the right, I also

731
00:37:22,280 --> 00:37:26,600
Speaker 2: just based on again the kinds of voters that have

732
00:37:26,840 --> 00:37:31,440
Speaker 2: emerged in this like in this specific electorate, it feels

733
00:37:31,440 --> 00:37:34,560
Speaker 2: that there are so many people who are just absolutely

734
00:37:35,200 --> 00:37:41,080
Speaker 2: completely disconnected from politics. And I think to couple that

735
00:37:41,239 --> 00:37:45,000
Speaker 2: with also just the systematic dismantling we've seen of public

736
00:37:45,360 --> 00:37:48,560
Speaker 2: education over the last few decades leads us to a

737
00:37:48,560 --> 00:37:51,759
Speaker 2: place where like, yeah, we have we have millions of

738
00:37:51,760 --> 00:37:55,280
Speaker 2: people in this country too who just kind of check headlines,

739
00:37:55,840 --> 00:37:59,080
Speaker 2: maybe see what's pop and on social media, not like

740
00:37:59,280 --> 00:38:02,640
Speaker 2: digging deep. And so when you're presented with a binary

741
00:38:02,760 --> 00:38:05,080
Speaker 2: of the status quo in terms of what you've known

742
00:38:05,120 --> 00:38:07,920
Speaker 2: for the last few years and the other form of

743
00:38:07,920 --> 00:38:09,680
Speaker 2: the status quo, people are just going, well, I think

744
00:38:09,680 --> 00:38:13,560
Speaker 2: that one's different. So maybe that's the case, but I mean, yeah,

745
00:38:13,600 --> 00:38:15,440
Speaker 2: that but we're I mean a lot of these people

746
00:38:15,640 --> 00:38:19,120
Speaker 2: and I mean everyone unfortunately is going to bear the

747
00:38:19,120 --> 00:38:21,319
Speaker 2: brunt of all of this. But like, I think there's

748
00:38:21,360 --> 00:38:23,040
Speaker 2: there's just so much I already see people be like,

749
00:38:23,080 --> 00:38:24,800
Speaker 2: what the fuck is wrong? With all these people and

750
00:38:24,840 --> 00:38:27,879
Speaker 2: it's like, man, this problem is so much bigger than

751
00:38:27,960 --> 00:38:33,400
Speaker 2: like who campaigned on what. It's like the conditions that

752
00:38:33,440 --> 00:38:36,480
Speaker 2: have been created in this country sort of have created

753
00:38:36,520 --> 00:38:39,560
Speaker 2: an electorate like this which are going to be susceptible

754
00:38:39,600 --> 00:38:44,080
Speaker 2: to like disengagement, misinformation and the like.

755
00:38:44,160 --> 00:38:48,440
Speaker 1: So, yeah, the mainstreamia, Like in case anyone was confused

756
00:38:48,440 --> 00:38:50,680
Speaker 1: about like how little people are paying attention to the

757
00:38:50,680 --> 00:38:54,239
Speaker 1: mainstream media. It's been pointed out the Google searches for

758
00:38:54,400 --> 00:38:57,920
Speaker 1: did Joe Biden drop out were like spiking in pennsylvani

759
00:38:58,000 --> 00:39:00,600
Speaker 1: Yah in like the days leading up to the election.

760
00:39:01,360 --> 00:39:03,680
Speaker 1: I like one of my friends, you know, door knocking

761
00:39:03,719 --> 00:39:08,839
Speaker 1: over the weekend in Arizona, and a person they talked

762
00:39:08,880 --> 00:39:11,919
Speaker 1: to is like, oh, yeah, I meant to vote for them,

763
00:39:12,000 --> 00:39:14,879
Speaker 1: And he was like, what what do you mean. She's like, Oh,

764
00:39:14,880 --> 00:39:17,719
Speaker 1: it's over, isn't it. Like they didn't know that the

765
00:39:17,760 --> 00:39:20,040
Speaker 1: election hadn't happened yet, Like I think a lot of

766
00:39:20,080 --> 00:39:25,640
Speaker 1: people have just tuned the fuck out from everything, you know.

767
00:39:26,040 --> 00:39:29,480
Speaker 2: Right, So, which I think, Yeah, that's what makes it

768
00:39:29,520 --> 00:39:33,239
Speaker 2: even more infuriating when then, like the Harris campaign's plan

769
00:39:33,400 --> 00:39:37,680
Speaker 2: is like, oh, Dick Cheney, Liz Cheney. This will break

770
00:39:37,719 --> 00:39:40,400
Speaker 2: through to people when some people are like, Bro, you

771
00:39:40,440 --> 00:39:43,640
Speaker 2: think I don't even know if Joe Biden is running, right,

772
00:39:43,719 --> 00:39:46,799
Speaker 2: you think I'm just telling like, oh, Dick change. Yeah,

773
00:39:47,719 --> 00:39:52,759
Speaker 2: a Bush's VP is oh okay mmmmmm. That's like for

774
00:39:52,800 --> 00:39:55,520
Speaker 2: such a quite a broad tent miles, I think, yeah,

775
00:39:55,560 --> 00:39:58,640
Speaker 2: that's for such a specific voter that only like this

776
00:39:58,719 --> 00:40:01,880
Speaker 2: consultant class. Oh that they're like, this is how like

777
00:40:01,920 --> 00:40:04,560
Speaker 2: I'm talking to people who were like also like semi

778
00:40:04,640 --> 00:40:08,799
Speaker 2: retired millionaires basically, and like this could be a way

779
00:40:08,840 --> 00:40:11,680
Speaker 2: to speak to them and again rather than talking about

780
00:40:11,880 --> 00:40:16,480
Speaker 2: like just meaningful shit like can you deliver on things

781
00:40:16,480 --> 00:40:19,839
Speaker 2: that affect people's again material existence?

782
00:40:20,760 --> 00:40:24,440
Speaker 1: And this wasn't the case. Yeah. Also, beginning on Monday,

783
00:40:24,480 --> 00:40:26,840
Speaker 1: the term who was running for president started trending.

784
00:40:27,120 --> 00:40:29,960
Speaker 3: So that's the people who are like, on my homeworks

785
00:40:30,000 --> 00:40:30,560
Speaker 3: do tomorrow?

786
00:40:31,239 --> 00:40:36,240
Speaker 1: Yeah, which that was me when I had homework. You know, Yeah,

787
00:40:36,280 --> 00:40:41,680
Speaker 1: I don't know if like that homework sucks. Yeah. Other

788
00:40:41,800 --> 00:40:44,279
Speaker 1: terms that were trending is Trump a Republican? Can I

789
00:40:44,360 --> 00:40:47,000
Speaker 1: vote online? Should be able to? By the way that

790
00:40:47,080 --> 00:40:47,760
Speaker 1: last one.

791
00:40:47,760 --> 00:40:50,359
Speaker 2: But yeah, yeah, that's just that's just so I mean,

792
00:40:50,880 --> 00:40:52,840
Speaker 2: because you don't. You don't search those things as like

793
00:40:52,880 --> 00:40:55,000
Speaker 2: a bit you know what I mean, that's that's not

794
00:40:55,040 --> 00:40:56,439
Speaker 2: a journalist.

795
00:40:56,280 --> 00:41:01,640
Speaker 3: No, that's am I am I targeted. Yeah, hurry question.

796
00:41:01,840 --> 00:41:06,800
Speaker 2: Pregnant, Yeah, yes you are pregnant.

797
00:41:08,280 --> 00:41:08,520
Speaker 1: Yeah.

798
00:41:08,560 --> 00:41:10,520
Speaker 2: So I think like that's why I just like again,

799
00:41:10,680 --> 00:41:13,120
Speaker 2: I mean that there's so much more data to come through.

800
00:41:13,200 --> 00:41:15,960
Speaker 2: I'm personally not ready for that phase of talking about

801
00:41:15,960 --> 00:41:19,759
Speaker 2: it because it's still it's still trickling in. But we did,

802
00:41:19,800 --> 00:41:21,880
Speaker 2: we did know these things at the very least coming up.

803
00:41:22,120 --> 00:41:24,440
Speaker 1: Let's take a quick break. We'll come back and we'll

804
00:41:24,480 --> 00:41:26,759
Speaker 1: finish up with some more news. We'll be right back,

805
00:41:37,360 --> 00:41:44,520
Speaker 1: and we're back, and a writer, jam the lovely Canadian

806
00:41:44,600 --> 00:41:49,560
Speaker 1: that he is, was this morning straining as hard as

807
00:41:49,600 --> 00:41:53,640
Speaker 1: possible to find some hope here. And so what we

808
00:41:53,760 --> 00:41:58,640
Speaker 1: have is Mark Robinson lost in North Carolina. I think

809
00:41:58,640 --> 00:41:59,840
Speaker 1: we knew that was going to happen.

810
00:42:00,360 --> 00:42:03,799
Speaker 2: God, I don't know even then, right, Yeah, I don't know.

811
00:42:03,840 --> 00:42:08,040
Speaker 2: He somehow missed porn guy Black Nazi one.

812
00:42:08,080 --> 00:42:09,440
Speaker 1: But no, no, he lost.

813
00:42:09,480 --> 00:42:10,320
Speaker 2: He lost handily.

814
00:42:10,719 --> 00:42:13,960
Speaker 1: Yeah, he lost by a lot. Sarah McBride has become

815
00:42:14,000 --> 00:42:17,480
Speaker 1: the first openly transgender person elected to Congress all right,

816
00:42:17,520 --> 00:42:20,960
Speaker 1: that's a win. That's a win. Ten states had ballot

817
00:42:20,960 --> 00:42:24,160
Speaker 1: measures to protect or expand abortion access, and seven of

818
00:42:24,200 --> 00:42:28,880
Speaker 1: them the measure for abortion rights one. Yeah, including in Missouri,

819
00:42:28,960 --> 00:42:32,520
Speaker 1: as we talked about on yesterday's Trending episode, first state

820
00:42:32,600 --> 00:42:36,719
Speaker 1: to completely ban abortion after the Supreme Court undid row

821
00:42:37,320 --> 00:42:40,600
Speaker 1: and it now become the first state to overturn the ban.

822
00:42:41,320 --> 00:42:44,560
Speaker 2: Yeah, I mean, but except I mean in Florida got close,

823
00:42:44,600 --> 00:42:47,560
Speaker 2: but again they had to reach a sixty percent threshold

824
00:42:47,640 --> 00:42:50,439
Speaker 2: and missed it by like a couple percentage points.

825
00:42:50,480 --> 00:42:52,799
Speaker 3: Which was that was interesting because I have a friend

826
00:42:52,840 --> 00:42:55,279
Speaker 3: who's from Florida, and even she this morning was saying that,

827
00:42:55,360 --> 00:42:57,120
Speaker 3: like it was confusing the way they had to reach

828
00:42:57,160 --> 00:43:00,480
Speaker 3: a certain threshold to overturn it, but a different measure,

829
00:43:00,600 --> 00:43:04,520
Speaker 3: had you read a different percentage threshold to be overturned. Yeah,

830
00:43:05,120 --> 00:43:06,160
Speaker 3: is that how that works?

831
00:43:06,440 --> 00:43:11,239
Speaker 1: I mean they totally that's still totally works everywhere. Yeah. Yeah.

832
00:43:11,320 --> 00:43:14,280
Speaker 1: You have to have multiple thresholds for democracy to work

833
00:43:14,360 --> 00:43:21,799
Speaker 1: and kind of demised so that the people on their toes. Yeah, yeah, exactly,

834
00:43:21,840 --> 00:43:25,759
Speaker 1: a trail mix of thresholds, right right, right, that's an

835
00:43:25,800 --> 00:43:28,279
Speaker 1: elabyrinth thing. That's all you need. But Yeah, that one

836
00:43:28,760 --> 00:43:31,960
Speaker 1: was very depressing because they had raised one hundred million

837
00:43:31,960 --> 00:43:36,600
Speaker 1: dollars to reverse the Florida near total ban on abortion,

838
00:43:36,920 --> 00:43:40,759
Speaker 1: and they came extremely close, but because of arbitrary like

839
00:43:40,880 --> 00:43:45,360
Speaker 1: institutional power in Florida, they were able to say fifty

840
00:43:45,400 --> 00:43:51,520
Speaker 1: seven not enough for this version of democracy, which sucks.

841
00:43:51,640 --> 00:43:54,480
Speaker 1: Florida was, you know, a place that a lot of

842
00:43:54,480 --> 00:43:59,080
Speaker 1: people in the south, like in southern states, were going

843
00:43:59,120 --> 00:44:04,480
Speaker 1: to get reproductive healthcare before it was banned. So yeah,

844
00:44:04,760 --> 00:44:10,080
Speaker 1: that is awful. But there are some small footholds. And

845
00:44:10,120 --> 00:44:16,080
Speaker 1: again we talked yesterday Rashida Talib and ilhan Omar, both

846
00:44:16,440 --> 00:44:19,479
Speaker 1: one with like over seventy percent of the vote in

847
00:44:19,600 --> 00:44:24,759
Speaker 1: their respective elections. Those scary beliefs and convictions they have

848
00:44:24,880 --> 00:44:29,200
Speaker 1: the mainstream media tells us are incredibly unpopular, turned out

849
00:44:29,520 --> 00:44:32,040
Speaker 1: not to be incredibly I mean.

850
00:44:32,160 --> 00:44:36,120
Speaker 2: So much, so much, like like just basic again, stuff

851
00:44:36,160 --> 00:44:40,080
Speaker 2: that helps people, like minimum wage, those kinds of things

852
00:44:40,440 --> 00:44:43,400
Speaker 2: did really well. And then then they're like, ah, but

853
00:44:43,480 --> 00:44:46,400
Speaker 2: maybe Trump for president. And I think that's just that

854
00:44:47,600 --> 00:44:51,520
Speaker 2: it's so revealing about like people can connect the dots

855
00:44:51,640 --> 00:44:55,160
Speaker 2: for that, like oh, should I make more money? Yes,

856
00:44:56,200 --> 00:44:58,480
Speaker 2: but then when but then again when you have like

857
00:44:58,520 --> 00:45:01,000
Speaker 2: all this slick campaigning stuf that just kind of completely

858
00:45:01,000 --> 00:45:03,160
Speaker 2: misses the mark of like connecting people to what you

859
00:45:03,719 --> 00:45:05,319
Speaker 2: can or can't do. I mean, in this case, like

860
00:45:05,400 --> 00:45:11,120
Speaker 2: I you know, even kamala Is like primary candidacy wasn't

861
00:45:11,200 --> 00:45:14,640
Speaker 2: quite as you know, progressive at least for my taste,

862
00:45:15,280 --> 00:45:17,279
Speaker 2: but even like but even to see her shrink from

863
00:45:17,280 --> 00:45:20,120
Speaker 2: that and just listen to whoever was you know, she

864
00:45:20,120 --> 00:45:24,759
Speaker 2: she inherited from the Biden campaign to be like, let's

865
00:45:25,040 --> 00:45:28,120
Speaker 2: fucking pretend you never even said stuff like single payer

866
00:45:28,520 --> 00:45:31,759
Speaker 2: like universal health care. Let's just completely avoid that or

867
00:45:31,840 --> 00:45:35,200
Speaker 2: just be really mum on like transgender people's you know,

868
00:45:35,320 --> 00:45:38,319
Speaker 2: right to have like gender affirming uh like medical care,

869
00:45:38,480 --> 00:45:41,400
Speaker 2: like just just just about that rather.

870
00:45:41,239 --> 00:45:45,480
Speaker 1: Criticized Trump for supporting gender affirming care prisoner.

871
00:45:45,600 --> 00:45:48,120
Speaker 2: Truly, that's what was so sort of fucked up, especially

872
00:45:48,160 --> 00:45:50,160
Speaker 2: to watch, like, you know, during the World series, you

873
00:45:50,200 --> 00:45:53,640
Speaker 2: get these weird Trump ads or just like kamalas for

874
00:45:53,760 --> 00:45:56,200
Speaker 2: the trans people, and you're like, these, this is how

875
00:45:56,239 --> 00:45:58,759
Speaker 2: you're setting up the stakes for people, and like that

876
00:45:58,960 --> 00:46:02,719
Speaker 2: was so uncomfortable to fucking watch. But yeah, I mean

877
00:46:02,800 --> 00:46:09,600
Speaker 2: now yeah this this we're here now and we're here. Yeah,

878
00:46:09,680 --> 00:46:12,120
Speaker 2: it's it's again. It's just so fucking difficult, like this

879
00:46:12,200 --> 00:46:15,800
Speaker 2: is still hasn't even twenty four hours, no, like sitting

880
00:46:15,880 --> 00:46:18,640
Speaker 2: with this like reality. So again, like I apologize on

881
00:46:18,680 --> 00:46:20,680
Speaker 2: the other pisode, I'm sorry if I'm not as articulate

882
00:46:20,719 --> 00:46:22,680
Speaker 2: as I can because I'm just kind of like trying

883
00:46:22,719 --> 00:46:27,160
Speaker 2: to stave off just like being fully like nihilistic about

884
00:46:27,160 --> 00:46:29,440
Speaker 2: everything or like more so than than normal.

885
00:46:29,920 --> 00:46:35,120
Speaker 1: Yeah. Yeah, did either of you watch the election results

886
00:46:35,160 --> 00:46:37,960
Speaker 1: like on TV? Rachel, did you watch on TV? Yeah?

887
00:46:38,080 --> 00:46:41,200
Speaker 3: I went to a bar right watch right, so I

888
00:46:41,320 --> 00:46:46,440
Speaker 3: was there. I'm actually done sorry, Miles. By the ads

889
00:46:46,520 --> 00:46:49,319
Speaker 3: during the World Series, I like and maybe it's because

890
00:46:49,320 --> 00:46:51,239
Speaker 3: I'm not in the sports world, but even like if

891
00:46:51,239 --> 00:46:54,280
Speaker 3: I tune in to watch the Super Bowl and there's

892
00:46:54,680 --> 00:46:58,319
Speaker 3: ads for God, I'm always like, y'all believe it in

893
00:46:58,360 --> 00:47:01,200
Speaker 3: this This is crazy? Like how how how cool that

894
00:47:01,280 --> 00:47:04,840
Speaker 3: you're doing that? That's so nuts. But it's like that

895
00:47:04,840 --> 00:47:09,080
Speaker 3: that is totally the number one fear bongering tactic, right

896
00:47:09,239 --> 00:47:12,080
Speaker 3: is like all your kids are going to be trans now,

897
00:47:12,680 --> 00:47:16,439
Speaker 3: they're also going to go fight in Ukraine, and we're

898
00:47:16,480 --> 00:47:18,719
Speaker 3: fighting for you to feed them raw milk. At home

899
00:47:19,239 --> 00:47:22,040
Speaker 3: on your own educational system.

900
00:47:21,680 --> 00:47:27,759
Speaker 1: Right, yeah, exactly, exactly. Yeah, although Jesus was pretty breezy, yeah,

901
00:47:28,440 --> 00:47:31,839
Speaker 1: so crazy, yeah, breezy for this one. If you met

902
00:47:31,880 --> 00:47:39,719
Speaker 1: this breezy h Rachel on the Daily Geist. Where can

903
00:47:39,760 --> 00:47:44,040
Speaker 1: people find you? Follow you, experience your comedy, all that

904
00:47:44,080 --> 00:47:44,640
Speaker 1: good stuff.

905
00:47:45,120 --> 00:47:48,520
Speaker 3: Yes, I'm at Rachel Friedland r A C H E

906
00:47:48,640 --> 00:47:51,160
Speaker 3: l E. Actually at the end Friedland the words for

907
00:47:51,480 --> 00:47:56,160
Speaker 3: land together on TikTok, Instagram, Twitter, you'll find me a

908
00:47:56,200 --> 00:47:58,920
Speaker 3: love it. I have a comedy album now called Certified Delight,

909
00:47:59,480 --> 00:48:01,840
Speaker 3: which I am in which it is so please go

910
00:48:01,880 --> 00:48:03,680
Speaker 3: stream that where you stream things nice.

911
00:48:04,280 --> 00:48:08,040
Speaker 1: Is there a work of media that you've been enjoying.

912
00:48:09,560 --> 00:48:11,680
Speaker 3: I would just shout out that YouTube channel again, mister

913
00:48:11,760 --> 00:48:16,840
Speaker 3: Sean Munger. He's really been putting out the content that

914
00:48:16,880 --> 00:48:18,600
Speaker 3: I like, the three hour videos that I will sit,

915
00:48:20,160 --> 00:48:21,080
Speaker 3: you know, digest.

916
00:48:21,480 --> 00:48:24,799
Speaker 1: Yeah, I can't wait to check them out. Miles, where

917
00:48:24,800 --> 00:48:28,120
Speaker 1: can people find you as their working media? You've been enjoying? Twitter?

918
00:48:28,239 --> 00:48:32,040
Speaker 2: Instagram at Miles of Gray basketball talk that's Miles and

919
00:48:32,080 --> 00:48:36,600
Speaker 2: Jack mad Boosties. I escape watching ninety Day Fiance. You

920
00:48:36,600 --> 00:48:40,160
Speaker 2: can join me and Sophia Alexandra on our other podcast

921
00:48:40,280 --> 00:48:41,560
Speaker 2: for Twenty Day Fiance.

922
00:48:42,040 --> 00:48:43,040
Speaker 1: You know what I'm saying.

923
00:48:44,680 --> 00:48:51,120
Speaker 2: Tweet I like anything. I don't know, what's the Simpsons assumption? Oh,

924
00:48:51,200 --> 00:48:55,200
Speaker 2: Joey Cliff at Joey Tainment just tweeting. He said in retrospect,

925
00:48:55,239 --> 00:48:57,520
Speaker 2: I chose the worst possible day to go to Disneyland.

926
00:48:58,160 --> 00:49:02,080
Speaker 1: Oh and this is the day after election. Yeah, that's that.

927
00:49:03,120 --> 00:49:03,560
Speaker 1: Who knows.

928
00:49:03,600 --> 00:49:05,680
Speaker 2: I don't know. Maybe maybe the vibes are okay there.

929
00:49:05,719 --> 00:49:08,000
Speaker 2: I don't know, but you can't maybe you can't see

930
00:49:08,040 --> 00:49:09,800
Speaker 2: the people crying through their costumes.

931
00:49:10,360 --> 00:49:10,480
Speaker 3: Uh.

932
00:49:11,120 --> 00:49:15,480
Speaker 1: Tweet I've been enjoying was from at the film Drunk,

933
00:49:15,520 --> 00:49:19,319
Speaker 1: who tweeted, my friend got out of Anora around the

934
00:49:19,520 --> 00:49:23,360
Speaker 1: same time Trump one Pennsylvania. And it's a screencap of

935
00:49:23,400 --> 00:49:26,120
Speaker 1: a tweet that says, oh my god. And they're responding, go,

936
00:49:26,239 --> 00:49:30,160
Speaker 1: I know, and they say Honora was so good. I'm like, wait,

937
00:49:30,200 --> 00:49:36,360
Speaker 1: what I do hear good things about from the filmmaker

938
00:49:36,440 --> 00:49:40,560
Speaker 1: behind Florida project in Tangerine supposed to be a good one.

939
00:49:40,680 --> 00:49:44,680
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien.

940
00:49:45,360 --> 00:49:47,680
Speaker 1: You can find us on Twitter at Daily Zeitgeist. We're

941
00:49:47,680 --> 00:49:50,200
Speaker 1: at the Daily Zeitgeist. On Instagram, we have a Facebook

942
00:49:50,200 --> 00:49:52,440
Speaker 1: fan page on a website daily zeikeist dot com, where

943
00:49:52,440 --> 00:49:55,839
Speaker 1: we post our episodes and our footnotes. We link off

944
00:49:55,840 --> 00:49:58,240
Speaker 1: to the information that we talked about in today's episode,

945
00:49:58,320 --> 00:50:00,759
Speaker 1: as well as a song that we I think you

946
00:50:00,880 --> 00:50:04,239
Speaker 1: might enjoy, Miles, is there a song that you say

947
00:50:04,360 --> 00:50:07,000
Speaker 1: people might enjoy? Good? Yeah, there's this.

948
00:50:07,360 --> 00:50:10,960
Speaker 2: There's this artist from Dublin named It's pronounced Femi, but

949
00:50:11,000 --> 00:50:15,040
Speaker 2: it's spelled F three m III and it's like really cool,

950
00:50:15,080 --> 00:50:19,200
Speaker 2: like you know, electronic, the electro poppy kind of music.

951
00:50:20,120 --> 00:50:23,360
Speaker 2: It's really cool, like has like a musical background like

952
00:50:23,400 --> 00:50:26,239
Speaker 2: in gospel, but this music is really cool. It's called

953
00:50:26,400 --> 00:50:30,040
Speaker 2: That's One Word and it's lost without Maria. So check

954
00:50:30,080 --> 00:50:31,680
Speaker 2: that out by Femi F three.

955
00:50:31,800 --> 00:50:34,719
Speaker 1: M i I. There you go. We will link off

956
00:50:34,760 --> 00:50:36,840
Speaker 1: to that in the footnote. For all these guys is

957
00:50:36,840 --> 00:50:39,600
Speaker 1: a production of iHeartRadio. For more podcasts from My Heart Radio,

958
00:50:39,680 --> 00:50:42,760
Speaker 1: visit the iHeart Radio app, Apple podcast, Yeah, or wherever

959
00:50:43,000 --> 00:50:44,880
Speaker 1: you get your favorite shows. That's gonna do it for

960
00:50:45,040 --> 00:50:47,560
Speaker 1: us this morning. We are back this afternoon to tell

961
00:50:47,600 --> 00:50:49,719
Speaker 1: you what is trending, and we will talk to you

962
00:50:49,760 --> 00:50:52,919
Speaker 1: all then fight bye