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Speaker 1: It is killing someone their sex is on fire. A

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Speaker 1: cool thing to tell someone.

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Speaker 2: One way of saying my sex is on my sex

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Speaker 2: is on fire, just saying that's right.

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Speaker 3: That's the colloquial version.

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Speaker 4: I'm gonna say that felt intentional, Jack, I thought you

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Speaker 4: were setting him up right.

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Speaker 1: It was the name of the the song that by

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Speaker 1: ak was too Yeah right, right, Yeah, we know.

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Speaker 2: Don't you heard that song Kings of Justin.

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Speaker 1: There is a song called Kings of Leon, Kings of Leon,

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Speaker 1: Kings of Leon.

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Speaker 5: Oh, Hello the Internet, and welcome to season three, sixty three,

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Speaker 5: Episode five of Darnley's Like guyst It's.

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Speaker 2: A production of iHeart Radio.

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Speaker 1: It's America's Only Undecided Podcast. I can started to return

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Speaker 1: that retire that joke where marriage is only undecided podcasts

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Speaker 1: we were because we liked them both so much. Anyway,

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Speaker 1: it is a podcast where we take a deep dive

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Speaker 1: into America's shared consciousness of It is Friday, November eighth,

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Speaker 1: twenty twenty four.

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Speaker 2: All right, made it to the end of the week.

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Speaker 2: It's National Stem and Steam Day.

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Speaker 6: It's National Parents as Teachers Day, although I'm hopefully that's

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Speaker 6: more of a shout out to parents that have had

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Speaker 6: to be their kids teachers because the shout out teachers,

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Speaker 6: because I think that's those teaching education professionals I think

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Speaker 6: are the best method of it.

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Speaker 2: Dude, what's your problem with homeschooling? Oh man, I played

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Speaker 2: in a few bands.

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Speaker 7: I played in a youth orchestra with two other guys

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Speaker 7: who played trumpet that were homeschooled.

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Speaker 2: And I had to answer a lot of questions. They're

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Speaker 2: always so interesting. So it's just like it all depends.

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Speaker 3: You know, Super was homeschold and she is at like it.

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Speaker 2: Can go in so many wildly different directions. It's it's

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Speaker 2: a mixed bag. And I guess so crazy people. But

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Speaker 2: I would say you like to be so you like

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Speaker 2: to be around the other kids and their stuff. Anyway.

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Speaker 2: It's also National Harvey Wallbanger Day if you drink that cocktail,

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Speaker 2: and National Capuccino Day cappuccin Yes, remember the Bruce Willis

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Speaker 2: movie Hudson Hawk. Yeah.

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Speaker 1: Danny Ayella repeatedly makes fun of him for drinking cappuccinos

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Speaker 1: as like being like not cool, yeah, like not masculine.

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Speaker 1: He's like, let you drink those European coffees, not Tommy

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Speaker 1: five tone.

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Speaker 3: Everyone knows delicious things are not for boys.

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Speaker 2: That's right.

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Speaker 1: That was during my the phase of my life where

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Speaker 1: my favorite Genres movie was Bruce Willis.

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Speaker 2: It was Danny I Yellow Side Characters. I only listen

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Speaker 2: to what Tommy.

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Speaker 1: Hudson hawk for my favorite films. I know they might

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Speaker 1: seem different to you. Would you like to swing on

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Speaker 1: a star?

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Speaker 2: All right?

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Speaker 1: Well, my name is Jack O'Brien aka Yeah we Rah

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Speaker 1: dumpster Fire. That one courtesy of Kings of Leon and

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Speaker 1: Christy I'magucci Mane on the disc board. Yes, Christy, I

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Speaker 1: don't know what you're talking about, but yeah, no, couldn't

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Speaker 1: couldn't be further from I'm actually like having trouble driving

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Speaker 1: around the city of Los Angeles, which overwhelmingly like did

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Speaker 1: not vote for Trump.

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Speaker 2: But just everybody I see, I'm like, are you one

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Speaker 2: of them? Did you vote for this? Mother?

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Speaker 1: Yeah? Yeah, Like I just kind of assume they did

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Speaker 1: now everywhere I look, and I think I feel like

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Speaker 1: that's partially what's going on with the mainstream media is

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Speaker 1: like they're just like, I guess he was right about everything.

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Speaker 1: We're just gonna write actually yes and get in line now.

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Speaker 2: Fuck wit no, no, no, no, don't don't. Let's not

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Speaker 2: do that now, Let's not do that just yet.

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Speaker 1: No, I'm thrilled to be joined as always by my

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Speaker 1: co host mister Miles Gray.

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Speaker 2: Miles Gray, your boy high off that copium high off

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Speaker 2: that co Paine aka sniff sniff in No, some sniff

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Speaker 2: sniff in No, some Selser sniff sniffin some sniff sniff

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Speaker 2: in No, some Selser. Shout out to less than zero,

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Speaker 2: because yeah, I was saying, yeah, I was sniffing on

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Speaker 2: that Selzer pole, a little bit of try and keep

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Speaker 2: the demons at bay. I guess what deeply off that

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Speaker 2: they were in bed with me, those demons the whole

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Speaker 2: time anyway, But shout out you lesson zero. Here we are, here,

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Speaker 2: we are and here dusting ourselves off.

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Speaker 1: Yes, yes we are trying to And Miles, we are

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Speaker 1: thrilled to be joined in our third seap by one

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Speaker 1: of our very favorite guests, very talented writer, stand up comedian,

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Speaker 1: currently on tour in the Midwest.

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Speaker 2: What a fun time to be on tour in the Midwest.

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Speaker 1: I bet her advice on sex and travel has been

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Speaker 1: future in men's health. The strategist betches anywhere men need

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Speaker 1: help fingering as Yeah, Likes also co hosts The Great

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Speaker 1: ninety Day Fiance podcast for twenty Day Fiance with some

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Speaker 1: guy named Miles. Welcome to the show, the hilarious and

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Speaker 1: talented Sophia Alexandra.

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Speaker 3: I'm so glad to be here with you. And a

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Speaker 3: little island in the in the Midwest. That yeah, I

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Speaker 3: don't know if you've ever seen someone just for fun

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Speaker 3: layout things that spelled Trump. But the letters are so

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Speaker 3: big on their lawn.

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Speaker 1: Oh, it's a message, like an SOS message on island something.

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Speaker 3: Like they're trying to get like airlifted out by FEMA.

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Speaker 2: Right, that's just happened.

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Speaker 3: Yeah.

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Speaker 2: Yeah.

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Speaker 1: Our country is like it does feel a little like

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Speaker 1: the end of us right now, like where you like

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Speaker 1: pull out and like there's just like wild ship like

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Speaker 1: there's the you know, human chain going across the country

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Speaker 1: and like bad things, like a weird death cult has

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Speaker 1: overtaken the nation. That's kind of how it feels a

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Speaker 1: little bit.

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Speaker 2: Yeah, yeah, yeah, yeah, yeah, yeah, yeah.

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Speaker 1: I didn't know about the that's a that's a wild visual.

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Speaker 1: They just spelled Trump out on their lawn.

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Speaker 2: What if he followed? What if he flies over our house?

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Speaker 3: He needs to know I love him the most.

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Speaker 2: It was on your side, Sheriff.

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Speaker 3: Don't look at Gary's house, He's stupid. Look at my house.

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Speaker 3: My flag is bigger, and I wrote your name big,

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Speaker 3: like really real big.

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Speaker 2: And I don't even talk to my daughter anymore, notice me, Sempi. Well, Sophia,

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Speaker 2: thank you for joining us on this horrible week. We

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Speaker 2: appreciate you doing the emotional labor of talking about the

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Speaker 2: news with us as we all kind of work our

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Speaker 2: way through this world of shit.

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Speaker 1: So, uh, we're gonna get to know you a little

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Speaker 1: bit better in a moment. First, we're gonna tell the

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Speaker 1: listeners a couple of things we're talking about. We're gonna

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Speaker 1: look at who did well financially off that Trump win.

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Speaker 2: Was it the working class who overwhelmingly went in Trump's direction?

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Speaker 1: I think maybe, I mean, I think it's got to

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Speaker 1: I think it must be.

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Speaker 2: We're gonna look at.

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Speaker 1: The mainstream media misreading the election with a quickness and

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Speaker 1: and just yeah, it's almost impressive.

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Speaker 2: It's like, I bet.

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Speaker 1: Their take is going to be this, and sure is,

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Speaker 1: they went right to it. We're gonna look at who

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Speaker 1: else had a good night besides billionaires, meditation apps had

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Speaker 1: a good night.

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Speaker 3: It was like a horrible day to be an alcohol.

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Speaker 2: To be an alcohol, yeah, to be a bottle of alcohol.

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Speaker 3: Yes, to be any spirit that this has been a

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Speaker 3: rough week for my dogs.

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Speaker 2: Yeah, well, look at the Internet.

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Speaker 1: One of the Internet's biggest mysteries has finally been solved.

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Speaker 1: Will take a step outside of the world of shit

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Speaker 1: to just look at a standard Internet sallies. Yeah, that

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Speaker 1: got solved all that plenty more. But for SOFIA, we

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Speaker 1: do like to ask our guests, what is something from

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Speaker 1: your search history that's revealing about who you are?

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Speaker 3: So, because I'm in the Midwest, I'm also traveling around

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Speaker 3: with my best friend Jeff, and he and I were

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Speaker 3: ordering food and I was like, oh, do you want

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Speaker 3: potato skins? And he's like, oh, fry like fries. Yeah.

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Speaker 3: And I was like, no potato skins and he's like, yeah,

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Speaker 3: like like French fries. I was like no, again, no

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Speaker 3: potato skins, and and then he goes, what are potato skins?

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Speaker 3: Jeff and I could not think of work the word

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Speaker 3: how to describe them, so I just kept doing this

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Speaker 3: with my hand.

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Speaker 2: Yeah, potato. He did a little cup of potato.

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Speaker 3: And then I literally had to look up like how

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Speaker 3: to explain what because like I can't google the copy,

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Speaker 3: you know.

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Speaker 2: Yeah, He's like, well, how can you just show a picture?

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Speaker 3: Well, that's the thing. It did not occur to me.

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Speaker 2: To be an alcohol I'm saying.

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Speaker 3: I'm saying it was a rough day. I was like,

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Speaker 3: I have to have words to describe a potato skin.

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Speaker 3: And I was like, well, there's toppings on it, and

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Speaker 3: he's like, oh, like chili fries. I was like, I'm

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Speaker 3: going to kill myself.

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Speaker 1: I feel like potato skin is ready for its moment.

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Speaker 1: It's ready to go mainstream, to break through to the

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Speaker 1: jets of the world, because I feel, yeah, I feel

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Speaker 1: like it hasn't really like nobody has nailed it on

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Speaker 1: a giant, chain wide scale.

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Speaker 2: And I could I could be wrong about that.

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Speaker 3: Yeah, it hasn't had its like cauliflower moment yet. Yeah,

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Speaker 3: it hasn't had it like broccolini moment, if you want.

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Speaker 2: I mean, yeah, I guess because we just we just

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Speaker 2: gave up on it. I mean because I feel like

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Speaker 2: every American knows about the potato skin. That's what I might.

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Speaker 1: It's like they could be I think they have a

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Speaker 1: lower basement than most potatoes, Like I think a bad

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Speaker 1: potato skin is worse.

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Speaker 2: No, No, but they're so ubiquitous in terms of like

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Speaker 2: American cuisine, like I don't know, yeah, Like I feel

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Speaker 2: like if you go to any sort of like like

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Speaker 2: normcore American restaurant kind of chain, like potato skins are

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Speaker 2: like Chili's or TGI Fridays.

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Speaker 3: How would you How did Jeff think that you could

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Speaker 3: shovel just bits of bacon, melted cheese, and sour cream

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Speaker 3: in your mouth without the little puppy? So don't have

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Speaker 3: the little cuppy. It just makes sense.

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Speaker 2: I'm not Well, here's the thing. I'm not calling bullshit

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Speaker 2: on your story. I just I refuse to believe that

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Speaker 2: Jeff Foxworthy doesn't know what.

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Speaker 3: Oh no, I'm sorry. You totally.

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Speaker 1: The other your other best friend he doesn't puppet does. Yeah,

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Speaker 1: it's like it's been married for a long time and

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Speaker 1: like information is in his hand about.

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Speaker 2: That's why when you did the cup thing, He's like,

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Speaker 2: what the what are you showing off? Yeah? I can

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Speaker 2: with all of them though, especially that like weird terrorist

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Speaker 2: one that he still tours with.

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Speaker 3: Yeah, the one with the booths, yeah, weirder, Yeah, who

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Speaker 3: makes his puppets.

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Speaker 2: He's not a puppet maker, is is he? That would

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Speaker 2: be so funny. He's like, I also love to make puppets.

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Speaker 1: I wonder does he listen to Metallica's Master of Puppets

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Speaker 1: to get psyched up? Like does he see himself?

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Speaker 3: Like that probably is a puppet playlist that he like

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Speaker 3: pumps before he.

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Speaker 2: Goes he builds his own puppets, yo, Like he yeah,

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Speaker 2: he's different. I didn't think so.

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Speaker 3: I think he outsourced it. I'll be honest with you.

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Speaker 2: No, I'm I just I'm just looking it up right now.

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Speaker 2: He uh, he fucks his puppets right, Like we can

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Speaker 2: all agree.

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Speaker 3: Oh yeah, why why else would you?

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Speaker 2: What is something that you think is moving on? Underrated?

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Speaker 2: I just want to puppets? Right, Okay, moving on?

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Speaker 3: What do I think is underrated?

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Speaker 2: Sorry?

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Speaker 3: I'm like, I'm like deep in my thoughts of like

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Speaker 3: traveling across the country, and I'm like, well, you know

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Speaker 3: what's underrated is people being nice do each other. But

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Speaker 3: it's yeah, the moments that I've had on the road

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Speaker 3: that are so nice and kind where people share about

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Speaker 3: themselves and are just very friendly and lovely, and then

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Speaker 3: the other times where someone's just like literally trying to

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Speaker 3: attack you and talk to you about ship that you're like,

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Speaker 3: I have no idea what why you would even engage me.

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Speaker 3: You see what I look like, and you know what

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Speaker 3: you're trying. I know what you're trying to do. So

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Speaker 3: I just feel like the assumption that like, just because

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Speaker 3: I'm a liberal and I'm sitting across or next to

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Speaker 3: a conservative, that I'm there to like battle them over

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Speaker 3: potato skins. Yeah right, that's not really the vibe. And also,

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Speaker 3: if you want to have a conversation, have a conversation.

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Speaker 2: Yeah, most I think most people are so hopped up

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Speaker 2: on internet content that isn't conversations. Everything is a debate

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Speaker 2: or scream fest. And that's like the fuel that people

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Speaker 2: are like really taking in there. That Yeah, I can

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Speaker 2: totally see how they're like, oh yeah, when I when

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Speaker 2: I get to be near liberal, I'm gonna fucking do

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Speaker 2: the things for my favorite Instagram reels on them.

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Speaker 1: Yeah, YouTube pranks that I saw that trigger libs and

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Speaker 1: then they they're very rarely have much stamina on that

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Speaker 1: in my experience, like you just need to be like

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Speaker 1: what and.

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Speaker 2: They say that again, but but really stand on it.

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Speaker 1: This day, I'm looking at you no.

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Speaker 3: But I mean, yeah, like I was telling you guys

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Speaker 3: before the before we started, it's like I was having

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Speaker 3: a conversation with someone Indian in Indiana and they were like,

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Speaker 3: you know, I'm really concerned with the legal immigrants and

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Speaker 3: dead people voting. I think that's like the biggest problem.

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Speaker 3: And you know, I just was like, oh, that's interesting.

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Speaker 3: I don't think statistically that is actually true, but I

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Speaker 3: would love to see like a link. And the person

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Speaker 3: like literally got mad at me and said that they

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Speaker 3: knew a dead person that that voted because their friend

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Speaker 3: was at the polls and saw their dead friend's name

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Speaker 3: written down there. I'm like, your story does not make

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Speaker 3: any sense. This is not how any of this works.

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Speaker 3: This is so wild. But uh yeah, if you're gonna

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Speaker 3: have a conversation like that's an exchange of ideas, it's

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Speaker 3: not well I'm here with mine.

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Speaker 2: Yeah, But if a level of like openness and malleability,

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Speaker 2: which I think for some people just impossible at this

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Speaker 2: point where it's like I'm just here, I just want

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Speaker 2: you to say the thing that I predict I think

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Speaker 2: you're gonna say, so I can rebut it in the

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Speaker 2: way I've been trained to and if not, I'm just

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Speaker 2: gonna get angry. And then we can just have potato

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Speaker 2: skins in separate parts of the restaurant.

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Speaker 3: And here's the thing, Like I think it's tempting. And

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Speaker 3: everybody puts up these statuses where they're like fuck you

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Speaker 3: if you've ever you know, when you voted for him,

284
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Speaker 3: like you've ruined everything, and like I'll never talk to

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Speaker 3: you again. I don't know who that's for, you know

286
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Speaker 3: what I mean, Like, I know we're mad, but that's

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Speaker 3: not I don't know who that's for because they're not

288
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Speaker 3: reading that, Like that's not You're not You're not gonna

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Speaker 3: get or whatever it's for you.

290
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Speaker 2: You feels frustrated and you could.

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Speaker 3: Absolutely do that, but I guess when I'm saying overall,

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Speaker 3: you're still gonna end up sitting next to somebody like

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Speaker 3: that eating potato skins. And you need to be able

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Speaker 3: to have a conversation that gives knowledge because, like I said, yeah,

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Speaker 3: telling somebody that, hey, people who are here, if they're undocumented,

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Speaker 3: the last thing they would do is go vote because

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Speaker 3: they don't want to get on the voting because they're

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Speaker 3: like I love Kamala. I'm like, that's not how it works,

299
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Speaker 3: and watching the person's face change in front of me

300
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Speaker 3: literally and say, I have never thought of that. Yeah,

301
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Speaker 3: Like that's you have to have the conversations because there.

302
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Speaker 2: Bring through there.

303
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Speaker 3: Yeah, it's the tiniest thing, but I'm like, I think

304
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Speaker 3: if you start off at least with some sort of

305
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Speaker 3: and again it's no one's job to teach other people.

306
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Speaker 3: But we're also never gonna get away from other people.

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Speaker 2: Yeah, we're stuck with them.

308
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Speaker 1: Yeah, but yeah, it feels like it's very easy to

309
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Speaker 1: do harm and be angry and hateful and dismissive of

310
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Speaker 1: people when they're an abstraction, and then the second may

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Speaker 1: become real people. It usually get gets a lot trickier,

312
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Speaker 1: but yeah, it's it feels good sometimes to like, you know,

313
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Speaker 1: type something so hard that your keyboard starts to smoke.

314
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Speaker 1: But it's also like, not not that I feel like

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Speaker 1: I don't feel better after something like that.

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Speaker 3: That's what my issue is too. It's not that I

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Speaker 3: have a problem with people expressing themselves. Dude, I'm also

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Speaker 3: devastated and mad and fucking sad and all that shit.

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Speaker 3: I just feel like telling them, like, fuck you, that's

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Speaker 3: not improving elections. Four years from now.

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Speaker 2: Yeah, yeah, elections, elections four years from now.

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Speaker 3: I mean that's adorable that I think that there's even

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Speaker 3: going to be one pretty cute you know.

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Speaker 1: Yeah, yeah, yeah, I mean that let the Democrats run again,

325
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Speaker 1: because the Democrats will run somebody like Pete Boodh Judge

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Speaker 1: or something.

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Speaker 2: They'll run. They'll prior this run like a book of

328
00:17:32,720 --> 00:17:35,679
Speaker 2: coupons or something. Right, right, there's free.

329
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Speaker 3: Value pack of coupons that comes to your house that you.

330
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Speaker 2: Never have d dollars worth of value inside.

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Speaker 3: And you've opened it and it's just for like a

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Speaker 3: million versions of like new windows or window treatment, Like

333
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Speaker 3: how many windows do people have? That you have a

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Speaker 3: book of these coupons that you send out to everyone everyone.

335
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Speaker 3: So yeah, like we're kind of probably going to be

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Speaker 3: it's going to be Value Pack twenty twenty Value.

337
00:18:01,520 --> 00:18:03,439
Speaker 1: It's been a pretty interesting couple of months. We've been

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Speaker 1: experimenting with a lot of different window treatments.

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Speaker 2: Don't know what, Sophia is something you think is overrated,

340
00:18:13,320 --> 00:18:16,880
Speaker 2: underrated or overrated overrated?

341
00:18:17,440 --> 00:18:20,760
Speaker 3: Your underrated was being I know, I know, being nice.

342
00:18:21,240 --> 00:18:32,840
Speaker 2: I have gone. Was this this guy on the show

343
00:18:33,000 --> 00:18:35,560
Speaker 2: just like trying to explain to his girlfriend he has

344
00:18:35,560 --> 00:18:37,000
Speaker 2: gone like he's been cheating on her and he has

345
00:18:37,040 --> 00:18:38,520
Speaker 2: gone a and he just says it like that.

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Speaker 3: He also can't stop saying to everybody and to her

347
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Speaker 3: it's the most.

348
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Speaker 2: Then they take a beach trip.

349
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Speaker 8: I don't think gon aria are gonna spread on the beach.

350
00:18:50,119 --> 00:18:53,399
Speaker 3: Do you understand there's a collection of leaking.

351
00:18:53,840 --> 00:18:55,160
Speaker 8: I think the pills there is no leaking.

352
00:18:56,000 --> 00:18:58,640
Speaker 2: I think the pills is no leaking. Yeah, because he's

353
00:18:58,680 --> 00:19:01,240
Speaker 2: like being doing the patron i thing to his Filipino

354
00:19:01,320 --> 00:19:05,199
Speaker 2: girlfriend where he's speaking like, oh he's yes, he's a

355
00:19:05,240 --> 00:19:07,080
Speaker 2: white guy, and he's like, I think we take the beat,

356
00:19:07,240 --> 00:19:09,520
Speaker 2: go to no spread on the beach. I take the pills.

357
00:19:09,520 --> 00:19:13,680
Speaker 2: There's no leaking. My god, Yeah.

358
00:19:13,480 --> 00:19:15,680
Speaker 8: I think the pills is no leaking, no more sludge.

359
00:19:15,760 --> 00:19:16,760
Speaker 2: Okay, did you find it.

360
00:19:20,680 --> 00:19:26,080
Speaker 3: Just right overrated? Is you know, not telling people that

361
00:19:26,119 --> 00:19:33,600
Speaker 3: you have gone repeated the context? If you watch ninety

362
00:19:34,400 --> 00:19:35,600
Speaker 3: you will know what this is about.

363
00:19:35,680 --> 00:19:37,840
Speaker 1: And then we have to leave the whole break and

364
00:19:38,200 --> 00:19:41,720
Speaker 1: oh my god, uh what the fuck?

365
00:19:42,560 --> 00:19:44,040
Speaker 2: Yeah does that work?

366
00:19:44,080 --> 00:19:46,240
Speaker 3: Wait till you see him, dude, Wait till you see him.

367
00:19:46,600 --> 00:19:47,880
Speaker 2: Yeah, it's it's bad.

368
00:19:47,920 --> 00:19:48,959
Speaker 3: It's gonna make it worse.

369
00:19:49,520 --> 00:19:53,200
Speaker 2: Yeah, but sorry, that was your overrated was not casually

370
00:19:53,240 --> 00:19:56,639
Speaker 2: bringing up or bringing up casually.

371
00:19:56,680 --> 00:19:59,959
Speaker 1: Casually bringing up and then trying to guesslate your fiance

372
00:20:00,320 --> 00:20:02,560
Speaker 1: into having sex with you on the beach.

373
00:20:03,760 --> 00:20:06,160
Speaker 2: Yeah, I mean at this point, Luckily, I mean, for again,

374
00:20:06,480 --> 00:20:08,280
Speaker 2: we're bringing a bit of fourtuny day fiance into the

375
00:20:08,280 --> 00:20:12,400
Speaker 2: show here. But there's a guy who has he's like Polly,

376
00:20:12,640 --> 00:20:14,840
Speaker 2: but he wants to be like. He has this trans

377
00:20:14,880 --> 00:20:18,840
Speaker 2: girlfriend in the Philippines, and he has been acting like

378
00:20:18,920 --> 00:20:22,000
Speaker 2: he doesn't want to have like an open relationship and

379
00:20:22,119 --> 00:20:24,120
Speaker 2: acting like he wants to be monogamous. But the whole

380
00:20:24,119 --> 00:20:26,440
Speaker 2: time they've been away, he's been having sex with whoever.

381
00:20:26,560 --> 00:20:32,720
Speaker 2: And then when he got to the Philippines. Oh yeah, yeah,

382
00:20:33,680 --> 00:20:34,240
Speaker 2: put in his work.

383
00:20:34,320 --> 00:20:36,600
Speaker 8: I don't think anoreea gonna spread on the beach.

384
00:20:37,520 --> 00:20:40,440
Speaker 2: That was him doing the offensive thing that American people

385
00:20:40,480 --> 00:20:42,320
Speaker 2: do when they speak to someone who's English is the

386
00:20:42,359 --> 00:20:46,560
Speaker 2: second language, where they start chopping up the sentences like this.

387
00:20:46,480 --> 00:20:50,320
Speaker 1: Will make it easier, I'll speak incorrect English to you.

388
00:20:50,520 --> 00:20:54,800
Speaker 3: Yeah, that's exactly how Yeah. There's no leaking though, so

389
00:20:54,920 --> 00:20:58,440
Speaker 3: that's cool. Also, I think I think it's really good

390
00:20:58,480 --> 00:21:01,360
Speaker 3: to know that in poll Mury both people.

391
00:21:01,160 --> 00:21:10,480
Speaker 9: Know is not you doing it? And your partner being like,

392
00:21:10,600 --> 00:21:12,200
Speaker 9: I'm so glad, I'm monog.

393
00:21:12,800 --> 00:21:21,359
Speaker 2: Secret very it's not a thing even sludge.

394
00:21:21,640 --> 00:21:28,919
Speaker 7: Yeah, I said all the time. All he does is

395
00:21:28,960 --> 00:21:33,360
Speaker 7: talk about and then he's like, hey, when I when

396
00:21:33,359 --> 00:21:35,080
Speaker 7: you introduced me to your family, you're not going to

397
00:21:35,119 --> 00:21:39,480
Speaker 7: tell him about the you know, the whole And it's like, dude,

398
00:21:39,600 --> 00:21:40,560
Speaker 7: what are you doing.

399
00:21:41,359 --> 00:21:45,320
Speaker 3: There's also another quote where he goes, I hope Godria

400
00:21:45,440 --> 00:21:51,400
Speaker 3: doesn't ruin this whole day anyway.

401
00:21:51,520 --> 00:21:53,439
Speaker 2: He's like, I'm just gonna own it. I'm just going

402
00:21:53,520 --> 00:21:55,240
Speaker 2: to own it, you know. No, that is kind of

403
00:21:55,240 --> 00:22:03,439
Speaker 2: his like strategy and.

404
00:22:00,119 --> 00:22:03,080
Speaker 1: Oh wow, he's not what I expected him to look like.

405
00:22:03,760 --> 00:22:05,639
Speaker 3: Yeah, I know. Isn't it so much worse now that

406
00:22:05,680 --> 00:22:09,879
Speaker 3: you see? Also his plan he left an apartment that

407
00:22:09,920 --> 00:22:12,840
Speaker 3: he can't pay for in America, and his secret plan,

408
00:22:13,240 --> 00:22:17,080
Speaker 3: in addition to being secretly poly right, was also to

409
00:22:17,200 --> 00:22:19,879
Speaker 3: secretly move in with his girlfriend, who was expecting to

410
00:22:19,920 --> 00:22:20,760
Speaker 3: move to America.

411
00:22:21,240 --> 00:22:23,000
Speaker 2: Yeah, He's like, I could live in the Philippines. It

412
00:22:23,040 --> 00:22:23,879
Speaker 2: seems way cheaper.

413
00:22:24,040 --> 00:22:27,640
Speaker 3: Actually, wait, my entire plant plan was hinges on. He's

414
00:22:27,640 --> 00:22:30,400
Speaker 3: saying yes but not knowing.

415
00:22:30,320 --> 00:22:32,520
Speaker 2: Me at all. Wait a second, I just got the

416
00:22:32,560 --> 00:22:33,359
Speaker 2: craziest idea.

417
00:22:33,400 --> 00:22:37,840
Speaker 1: He says he like drops his suitcases pretty much pretty.

418
00:22:37,600 --> 00:22:41,280
Speaker 2: Much, he's liked ps.

419
00:22:41,320 --> 00:22:43,680
Speaker 3: I only have twenty dollars, but let's ball out.

420
00:22:44,080 --> 00:22:49,159
Speaker 2: Oh and also, oh, okay, don't forget about it that yet. No,

421
00:22:49,720 --> 00:22:50,520
Speaker 2: it's kind of my way.

422
00:22:50,520 --> 00:22:52,760
Speaker 3: I'm worried about that beach trip miles though. What's going

423
00:22:52,840 --> 00:22:53,240
Speaker 3: to happen?

424
00:22:53,480 --> 00:22:53,720
Speaker 2: Why?

425
00:22:54,080 --> 00:22:56,720
Speaker 8: I don't think gon Ariea gonna spread on the beach.

426
00:22:56,680 --> 00:23:00,720
Speaker 2: No it? Oh my good. And you know why because upills.

427
00:23:00,480 --> 00:23:01,000
Speaker 8: Is no leaking.

428
00:23:01,480 --> 00:23:04,040
Speaker 3: Oh you take the pills, Okay, take.

429
00:23:03,920 --> 00:23:09,720
Speaker 2: The pills is no leaking? Yeah, yeah, anyway, guys, oh.

430
00:23:10,400 --> 00:23:12,400
Speaker 1: Oh my god, I'm trying to think like who he

431
00:23:12,480 --> 00:23:13,000
Speaker 1: looks like?

432
00:23:13,440 --> 00:23:18,200
Speaker 3: So someone who from from four one of the k ones,

433
00:23:18,240 --> 00:23:20,439
Speaker 3: said that he kind of looks like breck and Meyer,

434
00:23:20,560 --> 00:23:22,800
Speaker 3: and I said, oh my god, that's so mean to

435
00:23:22,880 --> 00:23:25,680
Speaker 3: Breckon Meyer. Then the person replied, Reckon.

436
00:23:25,520 --> 00:23:29,919
Speaker 2: Briar, Reckon Briar, Yeah.

437
00:23:29,280 --> 00:23:34,040
Speaker 3: Sorry, Rick, you get it Meyer, Yeah, yeah, fix the

438
00:23:34,080 --> 00:23:38,000
Speaker 3: fix it in post, guys, fix it.

439
00:23:38,080 --> 00:23:41,000
Speaker 1: All right, Let's take a quick break and we'll be

440
00:23:41,119 --> 00:23:41,600
Speaker 1: right back.

441
00:23:52,240 --> 00:23:57,280
Speaker 2: And we're back. We're back, and uh, Donald Trump won election. Uh,

442
00:23:57,320 --> 00:24:03,800
Speaker 2: we're fucked, YadA YadA. Skip forward for this part how.

443
00:24:03,720 --> 00:24:09,479
Speaker 1: The economy is doing okay, how uh so stock market

444
00:24:09,880 --> 00:24:13,680
Speaker 1: was And this is gonna surprise people because the stock

445
00:24:13,720 --> 00:24:16,240
Speaker 1: market is usually so cool and full of like cool

446
00:24:16,240 --> 00:24:18,400
Speaker 1: people have good ideas about what's good for America.

447
00:24:18,520 --> 00:24:20,119
Speaker 3: Yeah, there's a lot of really cool movies about it

448
00:24:20,119 --> 00:24:21,920
Speaker 3: where you're like, I feel good about hell.

449
00:24:22,040 --> 00:24:27,640
Speaker 1: These guys seem like they have it together and.

450
00:24:25,280 --> 00:24:28,800
Speaker 3: I like them almost as much as they like cocaine.

451
00:24:30,040 --> 00:24:34,200
Speaker 2: They they were pumped that he won. Actually, the stock

452
00:24:34,240 --> 00:24:39,000
Speaker 2: market surged. We got a Trump surge, baby. Yeah.

453
00:24:39,000 --> 00:24:43,879
Speaker 1: And yeah, billionaires who invested in him, whether it be

454
00:24:43,960 --> 00:24:47,119
Speaker 1: through a bent knee in the form of a like

455
00:24:47,160 --> 00:24:53,439
Speaker 1: with withholding their newspapers, endorsement of his opponent, or just

456
00:24:53,480 --> 00:24:58,080
Speaker 1: like totally funding his campaign, they got a nice little

457
00:24:58,119 --> 00:25:00,560
Speaker 1: return on their good returned.

458
00:25:00,880 --> 00:25:03,840
Speaker 2: Yeah, like you know, like we are set up top.

459
00:25:04,480 --> 00:25:09,240
Speaker 2: You know, working class voters definitely broke a lot further

460
00:25:09,359 --> 00:25:12,440
Speaker 2: to the right than expected, But unfortunately they're not the

461
00:25:12,480 --> 00:25:14,720
Speaker 2: ones reaping the immediate benefits of this win because in

462
00:25:14,800 --> 00:25:17,919
Speaker 2: terms just like broadly right, if we look at billionaire

463
00:25:18,000 --> 00:25:20,800
Speaker 2: spend and just what happened in this election. We were

464
00:25:21,720 --> 00:25:26,680
Speaker 2: sixteen billion dollars was spent on this election. Sixteen billion

465
00:25:26,760 --> 00:25:30,359
Speaker 2: dollars was spent on. And that's in terms of the election. Yes,

466
00:25:30,400 --> 00:25:32,720
Speaker 2: that's in terms of what you can actually track.

467
00:25:32,600 --> 00:25:35,200
Speaker 3: In America with that much money.

468
00:25:35,320 --> 00:25:38,000
Speaker 2: This is yes, oh you could. I mean you you

469
00:25:38,040 --> 00:25:41,000
Speaker 2: could end multiple crises in the United States with sixteen

470
00:25:41,000 --> 00:25:44,600
Speaker 2: billion dollars. And so dark money spent a billion dollars,

471
00:25:44,640 --> 00:25:47,600
Speaker 2: which is last cycle they spent around one hundred million dollars.

472
00:25:47,640 --> 00:25:50,320
Speaker 2: So big money was a huge part of this election.

473
00:25:50,400 --> 00:25:52,920
Speaker 2: And Trump was telling billionaires, look, He's like, and their

474
00:25:52,920 --> 00:25:56,000
Speaker 2: corporate entities, give me some cash. I'm going to give

475
00:25:56,000 --> 00:25:57,520
Speaker 2: you some favorable treatment.

476
00:25:58,000 --> 00:26:00,240
Speaker 1: How do you know that that dark money wasn't just

477
00:26:00,480 --> 00:26:05,120
Speaker 1: like workaday plumbers and stuff, just pulling their resources to, yeah,

478
00:26:05,200 --> 00:26:08,040
Speaker 1: fund a candidate that they felt strongly about and then

479
00:26:08,160 --> 00:26:10,360
Speaker 1: just completely take their name off it so nobody could

480
00:26:10,400 --> 00:26:10,960
Speaker 1: ever find out.

481
00:26:11,080 --> 00:26:12,760
Speaker 2: Yeah, I mean, just based on the number of people

482
00:26:12,760 --> 00:26:15,119
Speaker 2: that searts. If Joe Biden was on the ballot on

483
00:26:15,200 --> 00:26:18,040
Speaker 2: election day, I feel like that may be a few

484
00:26:18,119 --> 00:26:20,280
Speaker 2: levels up in terms of wonky stuff.

485
00:26:20,680 --> 00:26:22,479
Speaker 3: But I mean I also want to say, you guys

486
00:26:22,600 --> 00:26:26,680
Speaker 3: that you know, the educational levels of the people that

487
00:26:26,720 --> 00:26:30,520
Speaker 3: I meet on the road, I think, tell me great

488
00:26:30,520 --> 00:26:32,920
Speaker 3: stuff about our focus and where the money goes, and

489
00:26:33,000 --> 00:26:36,520
Speaker 3: how much everyone in dance what the fuck is going on?

490
00:26:37,080 --> 00:26:39,080
Speaker 3: Turns out people do not know what the fuck is

491
00:26:39,119 --> 00:26:43,400
Speaker 3: going on. They don't read, and they don't know what

492
00:26:43,920 --> 00:26:44,840
Speaker 3: critical thinking is.

493
00:26:45,520 --> 00:26:50,000
Speaker 2: Sure, so Trump obviously getting billionaire money. Kamala also getting

494
00:26:50,040 --> 00:26:53,560
Speaker 2: billionaire money, got huge swaths of cash being dumped on

495
00:26:53,640 --> 00:26:56,439
Speaker 2: her campaign from Silicon Valley and Wall Street super packs.

496
00:26:56,800 --> 00:27:00,320
Speaker 2: And also in this election cycle, Kamala Harris came the

497
00:27:00,320 --> 00:27:03,840
Speaker 2: first presidential campaign or candidate in history whose biggest source

498
00:27:03,840 --> 00:27:06,879
Speaker 2: of funding was anonymous dark money. So this was like

499
00:27:06,960 --> 00:27:10,080
Speaker 2: the billionaire's election no matter what way you look at it,

500
00:27:10,320 --> 00:27:12,560
Speaker 2: which I think explains a lot in terms of like

501
00:27:12,760 --> 00:27:16,080
Speaker 2: what kind of policy prescriptions were even being said out loud.

502
00:27:16,520 --> 00:27:19,800
Speaker 2: And again, if you go person by person, right, the

503
00:27:19,840 --> 00:27:23,399
Speaker 2: total gains for billionaires was sixty three point five billion

504
00:27:23,480 --> 00:27:25,960
Speaker 2: dollars from the just the bump from the Trump win.

505
00:27:26,320 --> 00:27:29,440
Speaker 2: That's what happened. Just in the twenty four to thirty

506
00:27:29,480 --> 00:27:33,879
Speaker 2: six hours since the election night victory, Bezos had an

507
00:27:33,880 --> 00:27:37,119
Speaker 2: increase of seven billion dollars to his fortune, Bill Gates.

508
00:27:37,160 --> 00:27:40,480
Speaker 2: Somehow it got these two billion dollars richer Elon made

509
00:27:40,520 --> 00:27:45,119
Speaker 2: twenty six point five billion dollars and like Crypto also

510
00:27:45,720 --> 00:27:49,520
Speaker 2: one of the big the biggest industry to donate to campaigns,

511
00:27:49,880 --> 00:27:53,840
Speaker 2: they made gains in the billions also, so it yeah,

512
00:27:53,880 --> 00:27:54,760
Speaker 2: they got.

513
00:27:55,080 --> 00:27:56,919
Speaker 1: I mean, you know, we said there would be some

514
00:27:57,040 --> 00:28:00,280
Speaker 1: silver linings to this election, and there it is. We

515
00:28:00,760 --> 00:28:03,600
Speaker 1: you love to see it. You love to see some

516
00:28:03,600 --> 00:28:08,959
Speaker 1: some underdog wins for America's worst fucking people.

517
00:28:09,240 --> 00:28:11,760
Speaker 2: I forgot Bill Gates was a billionaire.

518
00:28:12,000 --> 00:28:15,919
Speaker 3: So and yeah and again, and like the critical thinking

519
00:28:15,960 --> 00:28:18,359
Speaker 3: thing where the people who voted for Trump are like,

520
00:28:19,080 --> 00:28:22,560
Speaker 3: hell yeah, like things are going to improve, while literally

521
00:28:22,640 --> 00:28:26,600
Speaker 3: looking at the billions going towards the richest people.

522
00:28:26,480 --> 00:28:28,080
Speaker 2: Just getting sucked right up there who.

523
00:28:27,920 --> 00:28:30,919
Speaker 3: Never gave a fuck about them and never will.

524
00:28:31,800 --> 00:28:34,240
Speaker 2: This guy like in Twisters, Like in Twister just sent

525
00:28:34,440 --> 00:28:37,400
Speaker 2: off into the sky immediately you're not seeing that shit again.

526
00:28:37,520 --> 00:28:38,959
Speaker 2: I think that's the other part you have to understand.

527
00:28:39,000 --> 00:28:41,000
Speaker 2: It's like, that's sick that he made that money. He's like,

528
00:28:41,040 --> 00:28:43,200
Speaker 2: that's money that you will never be able to touch.

529
00:28:43,360 --> 00:28:47,480
Speaker 2: That's what I'm saying. That's but Okay, sure, Yeah, you're

530
00:28:47,520 --> 00:28:49,120
Speaker 2: just jealous. So like why you bring it up?

531
00:28:49,160 --> 00:28:51,200
Speaker 1: Is it because you're like jealous and a hater and

532
00:28:51,240 --> 00:28:53,320
Speaker 1: you're like you don't want to have lambeau?

533
00:28:53,600 --> 00:28:56,640
Speaker 2: Is that it? No, Because if there's less money out

534
00:28:56,640 --> 00:28:58,520
Speaker 2: there for people to be earning, that means their quality

535
00:28:58,520 --> 00:29:01,080
Speaker 2: of life goes. You know what, Yeah, I just can

536
00:29:01,160 --> 00:29:06,480
Speaker 2: I get the potato skins? Man U s U s A.

537
00:29:09,080 --> 00:29:12,000
Speaker 3: I drove by a store that was called Black Friday

538
00:29:12,080 --> 00:29:12,680
Speaker 3: the Store.

539
00:29:13,400 --> 00:29:14,840
Speaker 2: Black Friday Store.

540
00:29:17,080 --> 00:29:19,360
Speaker 3: The store. I was like, oh, so you can just

541
00:29:19,400 --> 00:29:22,600
Speaker 3: get like trample year round. People are like, we want.

542
00:29:22,440 --> 00:29:24,920
Speaker 2: This on demand every morning? Is a doorbuster?

543
00:29:25,840 --> 00:29:27,840
Speaker 3: Is that not the craziest thing you've ever heard? Black

544
00:29:27,840 --> 00:29:29,240
Speaker 3: Friday the Store?

545
00:29:29,880 --> 00:29:32,960
Speaker 1: That actually makes so much sense to me, Like, because

546
00:29:33,280 --> 00:29:35,840
Speaker 1: the Black Friday thing is kind of a myth for

547
00:29:35,880 --> 00:29:38,960
Speaker 1: the most part. It's just a media story like they

548
00:29:39,560 --> 00:29:42,720
Speaker 1: set up and will make the bad things that happened

549
00:29:42,800 --> 00:29:45,120
Speaker 1: on that day seem worse because it's just a story

550
00:29:45,160 --> 00:29:47,600
Speaker 1: that they really want to tell and like that people

551
00:29:47,680 --> 00:29:51,600
Speaker 1: believe in. So why not just like make it like

552
00:29:51,680 --> 00:29:55,400
Speaker 1: a Civil War reenactment of those you know, of those

553
00:29:55,520 --> 00:29:58,600
Speaker 1: media stories that don't actually happen, but people want to

554
00:29:58,720 --> 00:29:59,959
Speaker 1: exist so badly.

555
00:30:00,920 --> 00:30:03,600
Speaker 3: Yeah, it's like it's like the same way they want

556
00:30:03,600 --> 00:30:07,920
Speaker 3: to believe that people are trying to give kids drugs. Yeah,

557
00:30:07,960 --> 00:30:08,360
Speaker 3: it's like.

558
00:30:08,360 --> 00:30:09,280
Speaker 2: Yeah, it is.

559
00:30:09,320 --> 00:30:12,400
Speaker 1: It's one of those urban legends that every year the

560
00:30:12,400 --> 00:30:17,200
Speaker 1: mainstream media falls for. Also, shortages of Christmas trees and

561
00:30:17,840 --> 00:30:20,840
Speaker 1: candy canes, candy canes and good cheers.

562
00:30:21,000 --> 00:30:23,480
Speaker 3: I heard good cheers and an ultimate low guys.

563
00:30:23,720 --> 00:30:26,120
Speaker 2: Oh yeah, but my good. That's why I buy good,

564
00:30:26,520 --> 00:30:27,520
Speaker 2: good cheer futures.

565
00:30:28,440 --> 00:30:30,800
Speaker 3: That's smart. That's smart because I lost so much money

566
00:30:30,840 --> 00:30:34,080
Speaker 3: on Frankinson's last year that I can't even I.

567
00:30:34,040 --> 00:30:37,960
Speaker 2: Told you over a barrel, I told you so, but

568
00:30:38,040 --> 00:30:39,400
Speaker 2: didn't I Yeah.

569
00:30:39,240 --> 00:30:42,160
Speaker 3: You fucking did you. I'm sorry. Sometimes you got to

570
00:30:42,240 --> 00:30:48,680
Speaker 3: go with your heart and guts. But Mer fucked me up.

571
00:30:49,520 --> 00:30:51,960
Speaker 3: And I shouldn't have tied them together, you know, put

572
00:30:52,000 --> 00:30:52,520
Speaker 3: them separate.

573
00:30:52,560 --> 00:30:55,160
Speaker 2: That was on me. You did a two things, two

574
00:30:55,200 --> 00:30:57,440
Speaker 2: item parley.

575
00:30:56,440 --> 00:30:56,880
Speaker 1: Yeah, I.

576
00:30:58,560 --> 00:31:00,000
Speaker 3: Double fisted and I should not have.

577
00:31:00,160 --> 00:31:03,760
Speaker 2: And did a rum on my rump pump.

578
00:31:03,840 --> 00:31:04,040
Speaker 6: Yeah.

579
00:31:04,120 --> 00:31:09,440
Speaker 3: I'm gonna I'm gonna call my nutcrackers and be like, you'll.

580
00:31:09,400 --> 00:31:11,720
Speaker 1: This is what the show is for for now. Until

581
00:31:11,920 --> 00:31:15,720
Speaker 1: we keep spiraling, We're just you know.

582
00:31:16,280 --> 00:31:20,640
Speaker 3: Uh, there's I just don't really know what we're doing

583
00:31:21,000 --> 00:31:23,800
Speaker 3: because everything about everything is so absurd right now.

584
00:31:24,200 --> 00:31:27,280
Speaker 1: Yeah, again, not going to dig in too deep on

585
00:31:27,360 --> 00:31:30,320
Speaker 1: the headline or the details of how people are reading things.

586
00:31:30,320 --> 00:31:33,440
Speaker 1: I do just keeping a one eye on how the

587
00:31:33,480 --> 00:31:38,720
Speaker 1: mainstream media is taking the election that they had wrong.

588
00:31:39,240 --> 00:31:41,760
Speaker 1: But you know, they were actually like kind of closer

589
00:31:41,800 --> 00:31:44,600
Speaker 1: than a lot of the poll watchers. And there's been

590
00:31:44,600 --> 00:31:49,400
Speaker 1: a couple isolated moments of like circumspect self reflection from

591
00:31:49,440 --> 00:31:52,320
Speaker 1: the likes of David Brooks. Believe it or not, is

592
00:31:52,360 --> 00:31:54,680
Speaker 1: that the rest of us need to look at this

593
00:31:54,840 --> 00:31:58,760
Speaker 1: result with humility. The American voters are not always wise,

594
00:31:58,880 --> 00:32:02,040
Speaker 1: but they're generally sent and they have something to teach us.

595
00:32:02,120 --> 00:32:04,680
Speaker 1: My initial thought is that I have to re examine

596
00:32:04,680 --> 00:32:06,880
Speaker 1: my own priors, and you know, it's David Brooks and

597
00:32:07,080 --> 00:32:10,120
Speaker 1: one of these like pull fucks, you get my priors.

598
00:32:10,840 --> 00:32:11,600
Speaker 2: I'm a moderate.

599
00:32:11,800 --> 00:32:14,520
Speaker 1: I like it when Democratic candidates run to the center,

600
00:32:14,800 --> 00:32:17,440
Speaker 1: but I have to confess that Harris did that pretty

601
00:32:17,440 --> 00:32:21,960
Speaker 1: effectively and it didn't work. Maybe the Democrats have to

602
00:32:22,080 --> 00:32:26,360
Speaker 1: embrace a Bernie Sanders style disruption, something that will make

603
00:32:26,480 --> 00:32:31,440
Speaker 1: people like me feel uncomfortable. He a statement that he

604
00:32:31,520 --> 00:32:37,760
Speaker 1: will probably get three thousand emails about making and immediately

605
00:32:37,960 --> 00:32:40,640
Speaker 1: try to bury and pretend he never fucking said that.

606
00:32:40,880 --> 00:32:45,000
Speaker 1: But that is I think the narrative like that is

607
00:32:45,040 --> 00:32:48,680
Speaker 1: going to be the historical narrative of twenty sixteen through

608
00:32:48,720 --> 00:32:53,200
Speaker 1: the present moment. Is the Democrats ran away from their

609
00:32:53,440 --> 00:32:56,800
Speaker 1: person who is critical of how the system actually operates,

610
00:32:57,280 --> 00:33:02,200
Speaker 1: and like you know, killed his candidates twice, and the

611
00:33:02,240 --> 00:33:07,840
Speaker 1: Republicans went with theirs. Their's is fascism, and that is

612
00:33:08,040 --> 00:33:10,960
Speaker 1: where we are now, right. Yeah, that is, of course

613
00:33:11,040 --> 00:33:14,120
Speaker 1: not the narrative that we're getting from the mainstream media.

614
00:33:14,400 --> 00:33:17,520
Speaker 1: The overall read on the election seems to be to

615
00:33:17,640 --> 00:33:22,600
Speaker 1: treat Trump's victory as a broad rejection of the values

616
00:33:22,680 --> 00:33:27,400
Speaker 1: that the Democrats didn't run on. Like the Apple News

617
00:33:27,440 --> 00:33:31,840
Speaker 1: podcast this morning is like talking about how new groups

618
00:33:31,840 --> 00:33:35,520
Speaker 1: of Americans like embraced Trump. The New York Times headline

619
00:33:35,920 --> 00:33:39,040
Speaker 1: parsing through the numbers calls it a says, early results

620
00:33:39,080 --> 00:33:43,840
Speaker 1: show a red shift across the US, And yeah.

621
00:33:43,680 --> 00:33:45,680
Speaker 3: I can't tell you how much I hate the phrasing

622
00:33:45,840 --> 00:33:48,920
Speaker 3: of like the the blue wall is crumbling and the

623
00:33:48,960 --> 00:33:51,360
Speaker 3: red wave and whatever. I'm like why do we need

624
00:33:51,400 --> 00:33:53,760
Speaker 3: to make this into like some sort of like a

625
00:33:53,880 --> 00:33:57,080
Speaker 3: D and D situation, Like can we just can be.

626
00:33:57,080 --> 00:34:00,240
Speaker 2: Like, hey, the policies aren't popular with these people, gure

627
00:34:00,240 --> 00:34:04,640
Speaker 2: it out. Yeah, I'm like, I'm sorry, are we are we.

628
00:34:05,040 --> 00:34:07,240
Speaker 3: Game of Thrones? Like what are we doing?

629
00:34:07,880 --> 00:34:10,360
Speaker 2: Is this minace taris? Is this Lord of the Rings

630
00:34:10,480 --> 00:34:12,879
Speaker 2: or some ship? But what are we doing here? Yeah?

631
00:34:12,960 --> 00:34:15,839
Speaker 2: I not pass, thank you.

632
00:34:16,160 --> 00:34:20,920
Speaker 1: There we go, And now I understand. I don't think

633
00:34:21,040 --> 00:34:25,200
Speaker 1: there's like any one answer to what went wrong for

634
00:34:25,280 --> 00:34:29,000
Speaker 1: the Democrats here. I think there are a lot of them,

635
00:34:29,239 --> 00:34:31,200
Speaker 1: which is part of the problem. They also gave a

636
00:34:31,200 --> 00:34:34,480
Speaker 1: lot of answers and like didn't have a coherent message

637
00:34:34,800 --> 00:34:39,440
Speaker 1: at all during the campaign, but yeah, they they had

638
00:34:39,480 --> 00:34:42,760
Speaker 1: a lot of answers. I definitely think America is racist

639
00:34:42,800 --> 00:34:46,920
Speaker 1: and misogynistic, So I think that factors in people who

640
00:34:46,920 --> 00:34:49,399
Speaker 1: are saying like that, let's ignore that.

641
00:34:49,800 --> 00:34:52,600
Speaker 2: I don't know why you would, yeah, because that's like

642
00:34:52,680 --> 00:34:56,040
Speaker 2: the biggest thing we have we will not reckon with

643
00:34:56,160 --> 00:34:58,760
Speaker 2: as a nation. So it's just we're like, yeah, dude,

644
00:34:58,800 --> 00:35:02,880
Speaker 2: obviously like displaced, it's women and not white people, Like obviously, dude,

645
00:35:02,880 --> 00:35:04,759
Speaker 2: but like let's go to the other part, was it

646
00:35:04,880 --> 00:35:10,520
Speaker 2: like because of latinos or something those people. No, no, no,

647
00:35:10,680 --> 00:35:14,040
Speaker 2: there's a there's an original sin that has not been

648
00:35:14,120 --> 00:35:16,960
Speaker 2: reckoned with. So whenever you're ignoring all of that, like

649
00:35:17,000 --> 00:35:20,319
Speaker 2: all this stuff misses the mark too. But I think it,

650
00:35:20,600 --> 00:35:24,080
Speaker 2: like i'd say, most of his supporters are bought into

651
00:35:24,080 --> 00:35:27,320
Speaker 2: the cruelty that Donald Trump represents. That's like, without a question.

652
00:35:27,760 --> 00:35:30,400
Speaker 2: I think the difference is then there are other people,

653
00:35:30,760 --> 00:35:33,319
Speaker 2: like he got it over the line with people that

654
00:35:33,360 --> 00:35:36,799
Speaker 2: were simply too tired and ill informed about like what's

655
00:35:36,840 --> 00:35:38,919
Speaker 2: going on, and they were tired of the status quo

656
00:35:39,400 --> 00:35:43,000
Speaker 2: that the only option they were presented with was this

657
00:35:43,160 --> 00:35:45,360
Speaker 2: person because they're like, I don't know, the government isn't

658
00:35:45,360 --> 00:35:47,520
Speaker 2: delivering for me in the way that I needed to

659
00:35:47,560 --> 00:35:52,120
Speaker 2: in terms of like affordable housing or income equality or

660
00:35:52,160 --> 00:35:55,880
Speaker 2: healthcare things like that. So then when the other guy's like, yeah,

661
00:35:55,920 --> 00:35:58,960
Speaker 2: fuck all this thing, then then it's like I guess

662
00:35:59,040 --> 00:36:02,839
Speaker 2: that then, yeah, without understanding what the ramifications are. But yeah,

663
00:36:02,880 --> 00:36:05,640
Speaker 2: I would say, because like the biggest expansion of his

664
00:36:05,800 --> 00:36:07,320
Speaker 2: base was with white voters.

665
00:36:08,080 --> 00:36:12,120
Speaker 3: Wait, can I say something? I want to say that also,

666
00:36:13,400 --> 00:36:15,759
Speaker 3: I think it's a mistake to look at the way

667
00:36:15,800 --> 00:36:21,360
Speaker 3: that if we don't notice that right wing voters vote

668
00:36:21,800 --> 00:36:27,480
Speaker 3: against something, that's what motivates them, and like, you know,

669
00:36:27,719 --> 00:36:31,279
Speaker 3: the other sides trying to vote for something, And I

670
00:36:31,280 --> 00:36:34,640
Speaker 3: think those are two fundamentally like opposed ideologies. If you're

671
00:36:34,680 --> 00:36:38,120
Speaker 3: going because you're trying to prevent illegal or dead people

672
00:36:38,160 --> 00:36:40,880
Speaker 3: from voting. If you're going because you're like, ah, I

673
00:36:40,960 --> 00:36:44,000
Speaker 3: need to stop blah blah blah. If you're that, you know,

674
00:36:44,440 --> 00:36:46,719
Speaker 3: I feel like that makes you come out to the

675
00:36:46,719 --> 00:36:49,239
Speaker 3: polls in a way that people who are voting for

676
00:36:49,360 --> 00:36:52,839
Speaker 3: something don't necessarily you know, well, they were, Oh, it's

677
00:36:52,840 --> 00:36:55,600
Speaker 3: not as exciting to be like I'm for healthcare, I'm

678
00:36:55,640 --> 00:36:58,279
Speaker 3: for whatever. It is exciting to be like, I'm gonna

679
00:36:58,320 --> 00:37:02,239
Speaker 3: put these motherfuckers in their place because I'm against this right.

680
00:37:02,320 --> 00:37:04,160
Speaker 2: But I think also at the same time that is

681
00:37:04,280 --> 00:37:06,360
Speaker 2: that was the message from Democrats too, was like we

682
00:37:06,440 --> 00:37:09,240
Speaker 2: have to come out against Donald Trump because most people

683
00:37:09,280 --> 00:37:11,960
Speaker 2: were not voting. Like the messaging was more like we

684
00:37:12,080 --> 00:37:15,080
Speaker 2: have to stop Donald Trump. Also, that's pure that was

685
00:37:15,280 --> 00:37:17,080
Speaker 2: so much of it was like the last things are

686
00:37:17,120 --> 00:37:20,560
Speaker 2: about fascism and the threat to democracy was something that

687
00:37:20,680 --> 00:37:23,560
Speaker 2: was talked about a lot and I think, yeah, there

688
00:37:23,600 --> 00:37:27,600
Speaker 2: there definitely could have been more to vote for. I

689
00:37:27,600 --> 00:37:30,359
Speaker 2: think it just it's they were deployed in different ways.

690
00:37:30,400 --> 00:37:33,319
Speaker 2: I think the biggest issue is generally, right, if things

691
00:37:33,320 --> 00:37:36,200
Speaker 2: aren't going well, you kind of like sometimes people like, hey,

692
00:37:36,200 --> 00:37:38,799
Speaker 2: you don't like what's going on, Well I'm different. And

693
00:37:38,880 --> 00:37:41,360
Speaker 2: when you have another candidate, like when you had Kamalis

694
00:37:41,440 --> 00:37:43,800
Speaker 2: say on the view that like, oh, like I don't

695
00:37:43,880 --> 00:37:45,600
Speaker 2: I don't see what I would do much different from

696
00:37:45,640 --> 00:37:48,840
Speaker 2: Joe Biden. Yeah, that's a single thing. That's that's it.

697
00:37:49,120 --> 00:37:52,040
Speaker 2: That's like, that's kind of like a really bad message

698
00:37:52,040 --> 00:37:55,040
Speaker 2: to send when at the very least like the Democrats

699
00:37:55,040 --> 00:37:58,240
Speaker 2: would have been open to a change candidate obviously, because

700
00:37:58,280 --> 00:38:00,640
Speaker 2: the whole point of the Biden of voting for Biden

701
00:38:00,760 --> 00:38:03,640
Speaker 2: and even has he articulated in twenty twenty, was I'm

702
00:38:03,680 --> 00:38:05,680
Speaker 2: going to be the bridge to this new whatever, this

703
00:38:05,840 --> 00:38:08,719
Speaker 2: new whatever this era is going to be, and that

704
00:38:08,840 --> 00:38:12,400
Speaker 2: just didn't happen. So like just the there was a

705
00:38:12,400 --> 00:38:15,480
Speaker 2: lot of just deflated people. And I don't know, I'm

706
00:38:15,520 --> 00:38:17,400
Speaker 2: sure I'm part of it. Could be that people just

707
00:38:17,480 --> 00:38:20,080
Speaker 2: also thought, oh, you know what, Donald Trump's not going

708
00:38:20,160 --> 00:38:21,680
Speaker 2: to win. Maybe I don't have to vote. But I

709
00:38:21,719 --> 00:38:23,279
Speaker 2: think there are also a lot of people who were

710
00:38:23,320 --> 00:38:27,400
Speaker 2: just completely like what where, where does the relief come from?

711
00:38:27,440 --> 00:38:31,520
Speaker 2: And that's also a huge knock on like enthusiasm that

712
00:38:31,760 --> 00:38:32,840
Speaker 2: I guess.

713
00:38:32,680 --> 00:38:35,759
Speaker 3: Well, no, I also think that, like I agree with that,

714
00:38:35,800 --> 00:38:37,640
Speaker 3: and I also think that it does kind of tie

715
00:38:37,719 --> 00:38:39,400
Speaker 3: in a little bit into what I was saying about,

716
00:38:39,440 --> 00:38:43,160
Speaker 3: like voting for against something. It's like, if you don't

717
00:38:43,160 --> 00:38:47,960
Speaker 3: have a compelling candidate, you don't have somebody that goes

718
00:38:47,960 --> 00:38:50,520
Speaker 3: along with people having that hope and change message, right,

719
00:38:50,920 --> 00:38:53,200
Speaker 3: Like that's what gets people out if they're like, oh,

720
00:38:53,239 --> 00:38:55,439
Speaker 3: this is going to get better. I'm looking at this

721
00:38:55,640 --> 00:38:58,280
Speaker 3: as like this is the version they're selling me. Changes

722
00:38:58,360 --> 00:39:02,279
Speaker 3: happening great, Like when you don't have that and it's

723
00:39:02,320 --> 00:39:05,960
Speaker 3: like Biden and Kamala and it's kind of scattered and

724
00:39:06,000 --> 00:39:09,279
Speaker 3: no one is actually presenting a position or whatever that

725
00:39:09,320 --> 00:39:11,799
Speaker 3: you could be like, oh shit, like this is a change,

726
00:39:11,800 --> 00:39:13,080
Speaker 3: We're going to vote for some shit.

727
00:39:13,320 --> 00:39:13,799
Speaker 2: Yeah shit.

728
00:39:14,280 --> 00:39:17,040
Speaker 3: So it's like it goes along with not having a

729
00:39:17,080 --> 00:39:19,480
Speaker 3: candidate that is compelling in anyway.

730
00:39:20,000 --> 00:39:20,200
Speaker 2: Yeah.

731
00:39:20,280 --> 00:39:23,640
Speaker 1: Yeah, Well, I feel like since the financial crisis of

732
00:39:23,680 --> 00:39:28,360
Speaker 1: two thousand and eight, America has basically been like fuck

733
00:39:28,840 --> 00:39:33,000
Speaker 1: this free market system like we we had for for

734
00:39:33,040 --> 00:39:38,000
Speaker 1: a long time, this world like where the economy was

735
00:39:38,080 --> 00:39:41,840
Speaker 1: treated as synonymous with Wall Street, and like two thousand

736
00:39:41,880 --> 00:39:44,719
Speaker 1: and eight, around that time, people are like, well fuck that,

737
00:39:44,840 --> 00:39:47,919
Speaker 1: like that obviously doesn't work, like the Wall Street making

738
00:39:47,960 --> 00:39:49,240
Speaker 1: money doesn't make me money.

739
00:39:49,280 --> 00:39:50,880
Speaker 2: In fact, they like victimize us.

740
00:39:50,920 --> 00:39:55,160
Speaker 1: So like this current system that is like what the

741
00:39:55,200 --> 00:39:58,759
Speaker 1: mainstream media and the mainstream Democratic party, and at that time,

742
00:39:58,800 --> 00:40:02,360
Speaker 1: the mainstream Republican Party you're talking about is not like

743
00:40:02,520 --> 00:40:05,360
Speaker 1: what it is, not what I want to keep going.

744
00:40:05,400 --> 00:40:07,799
Speaker 1: So you had Obama talking about hope and change, and

745
00:40:07,840 --> 00:40:11,719
Speaker 1: like people voted for him in twenty twelve. He was

746
00:40:11,880 --> 00:40:14,640
Speaker 1: the establishment, but he was going against somebody who was

747
00:40:14,760 --> 00:40:18,040
Speaker 1: like a fucking wall Street like he looked like he

748
00:40:18,080 --> 00:40:20,800
Speaker 1: could have been in the movie Wall Street met Rodney

749
00:40:20,880 --> 00:40:23,799
Speaker 1: like he he was like that was his background. And

750
00:40:23,840 --> 00:40:28,879
Speaker 1: then ever since twenty sixteen, it's just been voting against

751
00:40:29,120 --> 00:40:34,160
Speaker 1: whoever is currently like the person who's operating the machine

752
00:40:34,560 --> 00:40:38,360
Speaker 1: that people fucking hate, Like people don't like the system

753
00:40:38,520 --> 00:40:42,319
Speaker 1: as it currently operates. And if you're the person who's

754
00:40:42,400 --> 00:40:46,280
Speaker 1: operating the machine, you're going to be at a huge disadvantage.

755
00:40:46,320 --> 00:40:48,920
Speaker 1: So when Trump had just spent the last four years

756
00:40:49,160 --> 00:40:53,040
Speaker 1: as the person operating the machine, people voted against him,

757
00:40:53,320 --> 00:40:57,000
Speaker 1: and now that it was Biden, like that Biden was

758
00:40:57,040 --> 00:41:00,759
Speaker 1: going to get crushed way worse. But then Kamala came

759
00:41:00,800 --> 00:41:04,200
Speaker 1: in and wouldn't like distance herself from that, and so

760
00:41:05,239 --> 00:41:09,000
Speaker 1: she got crushed. She got connected to the person who

761
00:41:09,120 --> 00:41:12,680
Speaker 1: was the person operating the machine. So yeah, it's yeah,

762
00:41:12,719 --> 00:41:15,680
Speaker 1: it seems pretty like I don't know, that does seem

763
00:41:15,719 --> 00:41:18,040
Speaker 1: to be the one central thing that you can take away.

764
00:41:18,080 --> 00:41:20,680
Speaker 1: And like Bernie Sanders came out and was, like, you know,

765
00:41:21,040 --> 00:41:24,759
Speaker 1: said that it's not surprising that this happened from the

766
00:41:24,800 --> 00:41:27,240
Speaker 1: perspective of like the movement that he built in twenty

767
00:41:27,280 --> 00:41:32,399
Speaker 1: sixteen was based on this messaging around like working class people,

768
00:41:32,440 --> 00:41:34,960
Speaker 1: and I think a lot of like mainstream democrats are angry.

769
00:41:34,960 --> 00:41:36,400
Speaker 2: But I think like when.

770
00:41:36,239 --> 00:41:38,600
Speaker 1: You think of it as like this core idea of

771
00:41:38,680 --> 00:41:41,400
Speaker 1: like you have to have message, discipline and also like

772
00:41:41,440 --> 00:41:45,640
Speaker 1: a plan to change this system that currently isn't working

773
00:41:45,680 --> 00:41:48,759
Speaker 1: for people, if you don't have that, you're going to

774
00:41:48,800 --> 00:41:51,880
Speaker 1: be fucked, Like you're just going to be Like when.

775
00:41:51,719 --> 00:41:54,960
Speaker 2: I think that, like David Brooks quote kind of sort

776
00:41:55,000 --> 00:41:58,399
Speaker 2: of encapsulates just the how people who are at those

777
00:41:58,400 --> 00:42:02,560
Speaker 2: sort of top layers of of thinking within political parties,

778
00:42:02,600 --> 00:42:06,239
Speaker 2: like in the democratic consultant class, are where he's like,

779
00:42:06,320 --> 00:42:08,440
Speaker 2: he's like, you know, I'm a moderate. I like it

780
00:42:08,480 --> 00:42:11,000
Speaker 2: when they move to run to the center. And then

781
00:42:11,040 --> 00:42:13,160
Speaker 2: when it makes me feel good, I get a little

782
00:42:13,200 --> 00:42:16,520
Speaker 2: to me feel good because again, right, because this is

783
00:42:16,520 --> 00:42:19,560
Speaker 2: someone else, because this is a guy who one hundred

784
00:42:19,560 --> 00:42:22,520
Speaker 2: percent benefits from the status quo at every level, Like

785
00:42:22,560 --> 00:42:26,040
Speaker 2: there's nothing that is why he says, oh, something that

786
00:42:26,080 --> 00:42:28,680
Speaker 2: makes me uncomfortable is a form of some kind of

787
00:42:28,760 --> 00:42:31,040
Speaker 2: equity that again it's like, well, I don't need that.

788
00:42:31,160 --> 00:42:33,319
Speaker 2: That sounds like wealth readers. So I don't know how

789
00:42:33,320 --> 00:42:37,520
Speaker 2: I feel about that, because I'm doing fine. I'm doing fine. Yeah,

790
00:42:37,560 --> 00:42:40,320
Speaker 2: and all and all of the talk of biden Omics

791
00:42:40,400 --> 00:42:42,799
Speaker 2: was so fucking patronizing, and we talk about this all

792
00:42:42,840 --> 00:42:45,279
Speaker 2: the time when the media kept going like, but the

793
00:42:45,320 --> 00:42:47,960
Speaker 2: economy is so good. How come Biden's getting hit on

794
00:42:48,040 --> 00:42:51,960
Speaker 2: the economy when inflation is coming down, the jobs numbers

795
00:42:52,000 --> 00:42:55,720
Speaker 2: are great, and we're like, you don't understand. People aren't normal.

796
00:42:55,760 --> 00:42:58,240
Speaker 2: People don't go oh, man, did you see the inflation

797
00:42:58,360 --> 00:43:03,319
Speaker 2: came down another half percentage point rather than rather than

798
00:43:03,680 --> 00:43:07,920
Speaker 2: I have to work three fucking jobs to support my family.

799
00:43:08,040 --> 00:43:11,200
Speaker 2: I have kids with medical conditions, or I've kids that

800
00:43:11,360 --> 00:43:14,280
Speaker 2: are LGBTQ, and I'm worried about, like what their living

801
00:43:14,320 --> 00:43:16,480
Speaker 2: situation is going to be, Like how do I afford

802
00:43:16,520 --> 00:43:19,880
Speaker 2: a home? When you do all this fucking seven thirty

803
00:43:19,960 --> 00:43:24,480
Speaker 2: thousand foot elevation takes on the economy, you help peoples, Yeah,

804
00:43:24,560 --> 00:43:27,000
Speaker 2: and saying you don't, how come they don't appreciate that

805
00:43:27,200 --> 00:43:30,279
Speaker 2: because they're not the ones who are actually benefiting from

806
00:43:30,360 --> 00:43:33,239
Speaker 2: any of this, not in a tangible way, and I

807
00:43:33,320 --> 00:43:37,040
Speaker 2: get that. Comparatively, the data is like, well, inflation has

808
00:43:37,080 --> 00:43:40,880
Speaker 2: come down. However, if if you offered people an opportunity

809
00:43:40,880 --> 00:43:43,480
Speaker 2: to say, what if you just had one job and

810
00:43:43,520 --> 00:43:46,759
Speaker 2: you could support yourself one job, and that if you

811
00:43:46,800 --> 00:43:47,279
Speaker 2: didn't have.

812
00:43:47,280 --> 00:43:50,799
Speaker 3: To fear that you if you lose health, well, if

813
00:43:51,400 --> 00:43:53,239
Speaker 3: you don't have to fear about being sick at all,

814
00:43:53,280 --> 00:43:56,359
Speaker 3: because hopefully you will be able to get medical care

815
00:43:56,400 --> 00:44:00,320
Speaker 3: that does not depend on because there's so many times,

816
00:44:00,320 --> 00:44:03,240
Speaker 3: every doubt I know in Los Angeles right now has

817
00:44:03,280 --> 00:44:09,520
Speaker 3: like three to five gigs, hustles, and everyone is fucking struggling,

818
00:44:09,960 --> 00:44:15,760
Speaker 3: and there's no there's no hope because no one's coming

819
00:44:15,840 --> 00:44:18,600
Speaker 3: through saying yeah, I know, it looks like this part

820
00:44:18,600 --> 00:44:22,120
Speaker 3: of the economy is doing well, but single actual individual

821
00:44:22,160 --> 00:44:25,319
Speaker 3: families are suffering, and you should pay attention. There's a

822
00:44:25,400 --> 00:44:27,680
Speaker 3: reason people are super fucking pissed working.

823
00:44:28,000 --> 00:44:30,120
Speaker 2: The thing is the poorest person I know is my

824
00:44:30,200 --> 00:44:34,040
Speaker 2: assistant and they're doing fine. Yeah, And they asked me

825
00:44:34,080 --> 00:44:36,359
Speaker 2: for a reason. I said no, And I said no.

826
00:44:36,560 --> 00:44:38,520
Speaker 2: I mean, good lord, you should be happy with your

827
00:44:38,560 --> 00:44:41,239
Speaker 2: studio apartment in Queens. But like this is the thing

828
00:44:42,000 --> 00:44:44,240
Speaker 2: that's like why it's just so frustrating when the answers

829
00:44:44,239 --> 00:44:46,560
Speaker 2: are so simple but everything is still looked at through

830
00:44:46,560 --> 00:44:50,800
Speaker 2: this like this, like the people live in Elysium, completely

831
00:44:50,800 --> 00:44:53,120
Speaker 2: detached from what happens on the ground, and they us

832
00:44:53,880 --> 00:44:56,839
Speaker 2: of this bullshit. Yeah, yeah, they completely missed the mark.

833
00:44:57,000 --> 00:44:59,920
Speaker 1: This ties into the first story, like the she raise

834
00:45:00,400 --> 00:45:04,239
Speaker 1: more a higher percentage of her campaign was funded by

835
00:45:04,360 --> 00:45:07,200
Speaker 1: dark money. As we talked about in a recent episode

836
00:45:07,280 --> 00:45:09,719
Speaker 1: with like an expert on the subject, dark money is

837
00:45:09,760 --> 00:45:12,600
Speaker 1: not dark because the candidate doesn't know where the money

838
00:45:12,640 --> 00:45:14,759
Speaker 1: came from. The candidate knows where the money came from.

839
00:45:14,960 --> 00:45:17,839
Speaker 1: It's dark because they hide who it came from so

840
00:45:17,880 --> 00:45:21,040
Speaker 1: that other people so that we don't know where it

841
00:45:21,080 --> 00:45:25,799
Speaker 1: came from. It's so any hope that you might have

842
00:45:25,960 --> 00:45:28,520
Speaker 1: that they're gonna deliver, any of the messaging that we

843
00:45:28,520 --> 00:45:33,279
Speaker 1: were just talking about, is removed because of that dark

844
00:45:33,320 --> 00:45:36,480
Speaker 1: money thing. Whoever was funding that dark money, they're not

845
00:45:36,640 --> 00:45:39,880
Speaker 1: going to be people who want to hear about, you know,

846
00:45:40,160 --> 00:45:43,920
Speaker 1: policies that are going to help the voter. But it

847
00:45:44,280 --> 00:45:47,480
Speaker 1: like it didn't fucking matter. It didn't like they raised

848
00:45:47,520 --> 00:45:50,320
Speaker 1: so much more money than Trump. It didn't fucking matter.

849
00:45:50,080 --> 00:45:51,839
Speaker 2: Because at the end of the day, it was all

850
00:45:51,880 --> 00:45:55,120
Speaker 2: about people did not for better or worse. They just

851
00:45:55,160 --> 00:45:58,600
Speaker 2: wanted to reject the status quo. And unfortunately they were

852
00:45:59,000 --> 00:46:04,000
Speaker 2: like I said, any people are racist or vile, racist women,

853
00:46:04,120 --> 00:46:07,760
Speaker 2: hating people, Yeah, and completely voted against their own interests.

854
00:46:07,960 --> 00:46:10,040
Speaker 2: Then there there is a subset because when you look

855
00:46:10,040 --> 00:46:12,880
Speaker 2: at the pieces that moved away from the Democrats too

856
00:46:13,000 --> 00:46:16,200
Speaker 2: that have been eroding, it's working class people and they

857
00:46:16,239 --> 00:46:19,680
Speaker 2: only picked up with like, wealthier educated people in the suburbs.

858
00:46:20,040 --> 00:46:22,640
Speaker 2: And so when you lose that, there's no fucking way

859
00:46:22,680 --> 00:46:24,120
Speaker 2: you can be like, yo, we need to do. We

860
00:46:24,160 --> 00:46:26,360
Speaker 2: need to do a weight with all kinds of corporate

861
00:46:26,360 --> 00:46:28,799
Speaker 2: housing when some of that super pac money coming in

862
00:46:29,040 --> 00:46:31,879
Speaker 2: is from like black Rock, and you know that, how

863
00:46:31,920 --> 00:46:34,640
Speaker 2: are you supposed to we build.

864
00:46:34,400 --> 00:46:42,560
Speaker 3: The city on fucking the bones of fucking it's yeah,

865
00:46:42,840 --> 00:46:44,680
Speaker 3: I'm just thinking of how to redo the quota.

866
00:46:47,880 --> 00:46:52,839
Speaker 2: We built this city on the bones of fucking Yeah,

867
00:46:52,880 --> 00:46:53,880
Speaker 2: I'm just sorry, I.

868
00:46:55,640 --> 00:46:58,680
Speaker 3: Got I got too sad in my head. Yeah, literally,

869
00:46:58,920 --> 00:47:02,759
Speaker 3: like like like literally, I just feel I feel like

870
00:47:02,840 --> 00:47:07,080
Speaker 3: it's devastating to know that information is so available and

871
00:47:07,120 --> 00:47:12,040
Speaker 3: people don't use it, yeah, and that people don't educate themselves,

872
00:47:12,040 --> 00:47:13,399
Speaker 3: people don't care enough.

873
00:47:13,600 --> 00:47:15,600
Speaker 2: And then I mean, and I think this is where

874
00:47:15,640 --> 00:47:20,319
Speaker 2: like teachers have been ringing the alarm forever forever. They said,

875
00:47:20,320 --> 00:47:23,200
Speaker 2: we were so underfunded, we don't have all the tools

876
00:47:23,200 --> 00:47:25,719
Speaker 2: to teach these kids. A lot of these a lot

877
00:47:25,760 --> 00:47:28,520
Speaker 2: of these kids, their their situations at home aren't the

878
00:47:28,600 --> 00:47:31,000
Speaker 2: kinds of place that are helping to enable like a

879
00:47:31,040 --> 00:47:33,280
Speaker 2: continuation of like learning in the home.

880
00:47:33,320 --> 00:47:36,799
Speaker 3: Because sometimes we're supposed to be the first first world

881
00:47:36,880 --> 00:47:40,480
Speaker 3: quote unquote country, whatever the fuck that means. And teachers

882
00:47:40,560 --> 00:47:45,960
Speaker 3: have websites where you fund them them them buying pencils,

883
00:47:46,000 --> 00:47:49,760
Speaker 3: pens and books for their fucking classes. Like right now,

884
00:47:50,040 --> 00:47:55,040
Speaker 3: the burden of kids actually having an education is somehow

885
00:47:55,160 --> 00:47:58,120
Speaker 3: nightmarishly in the hands of like a GoFundMe system in

886
00:47:58,160 --> 00:48:01,600
Speaker 3: the same way that like, you know, the healthcare thing

887
00:48:01,680 --> 00:48:04,680
Speaker 3: is right right, and it's like that's that's a huge

888
00:48:04,719 --> 00:48:10,040
Speaker 3: alarm that we basically have outsourced health care and outsourced

889
00:48:10,239 --> 00:48:15,040
Speaker 3: education to we don't care about it. We have to

890
00:48:15,080 --> 00:48:18,560
Speaker 3: pay for it ourselves instead, these billions are being wasted

891
00:48:18,600 --> 00:48:22,360
Speaker 3: on this bullshit and like yeah, they're like, go ahead

892
00:48:22,360 --> 00:48:24,080
Speaker 3: and take care of your own cancer bills. We're not

893
00:48:24,120 --> 00:48:26,839
Speaker 3: going to help you there, Yeah, go ahead, figure that out.

894
00:48:28,000 --> 00:48:30,840
Speaker 2: So go ahead. No, I was just saying, like Democrats

895
00:48:30,840 --> 00:48:32,880
Speaker 2: the whole thing, they've been promising a better tomorrow or

896
00:48:32,920 --> 00:48:38,000
Speaker 2: a better tomorrow, better tomorrow, better tomorrow, so for so right,

897
00:48:38,200 --> 00:48:40,960
Speaker 2: and but and I think this is where people and

898
00:48:41,239 --> 00:48:43,600
Speaker 2: understanding like sort of what the forces at work are.

899
00:48:44,440 --> 00:48:47,040
Speaker 2: That's all they can do is to promise it, but

900
00:48:47,120 --> 00:48:49,560
Speaker 2: they cannot follow through because that would mean to go

901
00:48:49,640 --> 00:48:52,560
Speaker 2: against the very system that empowers them. And so to

902
00:48:52,760 --> 00:48:55,960
Speaker 2: think that it's that kind of change can happen from

903
00:48:56,000 --> 00:48:59,640
Speaker 2: like within big d democratic politics is just it's not

904
00:48:59,680 --> 00:49:02,040
Speaker 2: going on, and this is like this is just kind

905
00:49:02,040 --> 00:49:04,759
Speaker 2: of the logical endpoint for that kind of strategy is

906
00:49:04,800 --> 00:49:06,719
Speaker 2: like it got to a point where everyone's like, what

907
00:49:06,760 --> 00:49:09,000
Speaker 2: the fuck man, Like, why am I struggling so bad?

908
00:49:09,040 --> 00:49:11,319
Speaker 2: And they keep talking about how everything can be better

909
00:49:11,520 --> 00:49:14,600
Speaker 2: but nothing's being delivered, And then that just means someone else,

910
00:49:14,960 --> 00:49:17,440
Speaker 2: just by comparison, can come in and be like, Noah, no,

911
00:49:17,520 --> 00:49:20,160
Speaker 2: I'm not doing any of that. I know I'm taking

912
00:49:20,200 --> 00:49:22,920
Speaker 2: care of y'all. Yeah, And spoiler alert, that won't happen

913
00:49:22,960 --> 00:49:24,640
Speaker 2: too because at the end of the day, they're both

914
00:49:25,200 --> 00:49:28,680
Speaker 2: just different operators of the same wealth extracting machine.

915
00:49:28,960 --> 00:49:31,440
Speaker 1: But they but he is the one who's willing to

916
00:49:31,480 --> 00:49:35,240
Speaker 1: say the system, like this current version of the system sucks.

917
00:49:35,440 --> 00:49:39,000
Speaker 1: He's saying it because racism. You know, he's saying, yea,

918
00:49:39,080 --> 00:49:41,560
Speaker 1: because they're brown people here. Yeah, but at least it

919
00:49:41,719 --> 00:49:46,879
Speaker 1: resonates with the where whereas like the big d democratic

920
00:49:47,160 --> 00:49:49,080
Speaker 1: like talking points has to like always come back to

921
00:49:49,200 --> 00:49:51,799
Speaker 1: like this is the greatest country on earth, and it's

922
00:49:51,840 --> 00:49:54,680
Speaker 1: like not moving in the same direction that the people

923
00:49:54,719 --> 00:49:57,920
Speaker 1: are who are frustrated with the system as a Currently.

924
00:49:57,880 --> 00:50:00,759
Speaker 2: The Democrats could have done that. Catherine Han meme to

925
00:50:00,760 --> 00:50:02,960
Speaker 2: have been like, we got to take down these companies.

926
00:50:04,000 --> 00:50:06,200
Speaker 2: Don't worry y'all, don't worry y'all. I gotcha, I got

927
00:50:06,200 --> 00:50:09,080
Speaker 2: you and you know, and I know there are some

928
00:50:09,120 --> 00:50:11,879
Speaker 2: people who do the fake populism shit like that, but yeah,

929
00:50:11,920 --> 00:50:14,080
Speaker 2: I mean they're because the GOP is just willing to

930
00:50:14,120 --> 00:50:18,640
Speaker 2: lie about every single thing. It's it's truly just completely

931
00:50:18,640 --> 00:50:21,160
Speaker 2: different strategies. And yeah, I think that's why we keep

932
00:50:21,160 --> 00:50:24,640
Speaker 2: talking about like what it what it's going to take

933
00:50:24,760 --> 00:50:28,480
Speaker 2: to to win people back. But I think if anything, Yeah,

934
00:50:28,480 --> 00:50:31,400
Speaker 2: the Democrats have just complete they They've just they've ran

935
00:50:31,480 --> 00:50:33,399
Speaker 2: the same playbook over and over and over.

936
00:50:33,680 --> 00:50:35,120
Speaker 3: Have not listened, not hard.

937
00:50:35,480 --> 00:50:37,480
Speaker 2: Yeah, and like the anger I see a lot of

938
00:50:37,520 --> 00:50:39,120
Speaker 2: people are there like you were never going to vote

939
00:50:39,120 --> 00:50:41,040
Speaker 2: for a Democrat. Not me personally, but I hear people

940
00:50:41,120 --> 00:50:44,480
Speaker 2: say things about like when people are expressing their ire

941
00:50:44,520 --> 00:50:46,479
Speaker 2: at the situation, like well you would never vote anyway,

942
00:50:46,520 --> 00:50:48,080
Speaker 2: It's like, no, that's not true. Like this was the

943
00:50:48,600 --> 00:50:51,040
Speaker 2: between the two parties. They had something that was a

944
00:50:51,080 --> 00:50:54,000
Speaker 2: little more akin to something that had empathy and moving

945
00:50:54,000 --> 00:50:59,160
Speaker 2: towards that direction. However, because of the sort of intractable

946
00:50:59,200 --> 00:51:03,960
Speaker 2: influence of corporate donors in the billionaire class. It's just

947
00:51:04,360 --> 00:51:08,640
Speaker 2: not possible. Yeah, unless they completely turn their backs on it,

948
00:51:08,640 --> 00:51:11,160
Speaker 2: because it's not like you know that, it's like there's

949
00:51:11,680 --> 00:51:14,799
Speaker 2: a huge super pack for public educators that are going

950
00:51:14,880 --> 00:51:18,080
Speaker 2: to be like funding their filling their coffers. Yeah, and

951
00:51:18,120 --> 00:51:21,799
Speaker 2: then these are the big school teacher you.

952
00:51:21,760 --> 00:51:24,040
Speaker 3: Know, yeah, notorious.

953
00:51:24,640 --> 00:51:28,080
Speaker 2: Right, let's take a quick break. We'll come back. We'll

954
00:51:28,080 --> 00:51:41,520
Speaker 2: talk about something that's not the election. Hm. And we're back.

955
00:51:41,760 --> 00:51:45,759
Speaker 1: We're back, and in some good news, one of the

956
00:51:45,760 --> 00:51:51,640
Speaker 1: Internet's biggest mysteries has chosen the worst time possible to

957
00:51:51,800 --> 00:51:55,560
Speaker 1: have been solved if it wanted people to pay any attention.

958
00:51:56,120 --> 00:51:58,040
Speaker 3: Is it that we figured out what color the dresses?

959
00:51:59,400 --> 00:52:04,120
Speaker 2: Working on that? We still have scientists I think and gold?

960
00:52:04,200 --> 00:52:08,000
Speaker 3: Okay, yeah, okay, cool. You know I'll just keep that

961
00:52:08,040 --> 00:52:09,240
Speaker 3: mystery box closed.

962
00:52:09,480 --> 00:52:11,799
Speaker 2: Yeah yeah, yeah, yeah, yeah, that's for Christmas.

963
00:52:12,000 --> 00:52:14,279
Speaker 1: This is a mystery that goes back decades that I

964
00:52:14,360 --> 00:52:17,719
Speaker 1: wasn't aware of, but a writer jam was all over it.

965
00:52:17,719 --> 00:52:19,920
Speaker 2: It's very read it, very ready read it.

966
00:52:20,080 --> 00:52:22,120
Speaker 3: It's very freaking love reddit. Is it like when we

967
00:52:22,200 --> 00:52:24,640
Speaker 3: tried to find that whose celebrity face.

968
00:52:24,480 --> 00:52:27,640
Speaker 2: Numbers it and then we finally figured it out, figured

969
00:52:27,640 --> 00:52:31,920
Speaker 2: it was an obscure model from like Spain or Italy.

970
00:52:31,960 --> 00:52:34,560
Speaker 3: I think, yeah, it really didn't move the needle anyway,

971
00:52:34,680 --> 00:52:36,400
Speaker 3: It was way more fun when we still didn't.

972
00:52:36,840 --> 00:52:38,840
Speaker 2: It was like for years because someone had it was

973
00:52:38,880 --> 00:52:41,840
Speaker 2: like a fabric pattern that had all these celebrity faces

974
00:52:41,880 --> 00:52:44,839
Speaker 2: on it, and everyone over the years slowly picked away

975
00:52:44,880 --> 00:52:47,560
Speaker 2: at all the faces. And there's number six. No one

976
00:52:47,560 --> 00:52:49,440
Speaker 2: could figure out whose face it was.

977
00:52:49,560 --> 00:52:52,640
Speaker 3: Celebrity number six is the subreddit and you see people

978
00:52:52,760 --> 00:52:55,520
Speaker 3: trying to be like, I think it's this I photoshopped

979
00:52:56,120 --> 00:52:59,680
Speaker 3: you know this image? Yeah, yeah, yeah, And then if

980
00:52:59,680 --> 00:53:01,520
Speaker 3: you over related next to it like this, you can

981
00:53:01,560 --> 00:53:04,279
Speaker 3: see the features are almost identical because it's it's just

982
00:53:04,320 --> 00:53:09,000
Speaker 3: a black line drawing on like white fabric, So the

983
00:53:09,080 --> 00:53:12,479
Speaker 3: faces are all a little bit off. That's why it's

984
00:53:12,560 --> 00:53:13,920
Speaker 3: like a mystery. And it could have been.

985
00:53:16,239 --> 00:53:21,680
Speaker 1: So like no, and it was Rodney Dangerfield, right, yeah, exactly,

986
00:53:21,719 --> 00:53:23,280
Speaker 1: it's so this is very similar.

987
00:53:23,360 --> 00:53:27,640
Speaker 2: That's David Beckham. So this is actually when that goes

988
00:53:27,640 --> 00:53:28,400
Speaker 2: back decades.

989
00:53:28,640 --> 00:53:30,840
Speaker 1: A guy taped a bunch of songs off of a

990
00:53:30,920 --> 00:53:35,120
Speaker 1: European radio station in the eighties, This was something I

991
00:53:35,160 --> 00:53:38,160
Speaker 1: did in the eighties as a child, when I was

992
00:53:38,160 --> 00:53:39,320
Speaker 1: first getting into music.

993
00:53:39,520 --> 00:53:41,279
Speaker 2: I did that in the nineties. Yeah.

994
00:53:41,320 --> 00:53:44,680
Speaker 1: I would record, like use blank tapes to just record

995
00:53:44,760 --> 00:53:47,200
Speaker 1: the radio, like like, oh I like the song, and

996
00:53:47,239 --> 00:53:49,840
Speaker 1: like run over to it and hit record and like

997
00:53:49,960 --> 00:53:51,840
Speaker 1: catch maybe the second half.

998
00:53:51,719 --> 00:53:53,319
Speaker 3: Yeah, exactly. It would never be a full song.

999
00:53:53,440 --> 00:53:58,080
Speaker 2: Yeah. For the longest time. When Aliyah's Try Again came out,

1000
00:53:58,440 --> 00:54:00,360
Speaker 2: I recorded that shit off the radio but had the

1001
00:54:00,440 --> 00:54:02,040
Speaker 2: last two thirds of it. Yeah.

1002
00:54:02,080 --> 00:54:03,680
Speaker 3: He kept trying to get it.

1003
00:54:03,680 --> 00:54:09,000
Speaker 2: And every time I remember, yeah, and I dusted myself

1004
00:54:09,040 --> 00:54:13,759
Speaker 2: and tried it again. I even tell I even called

1005
00:54:13,760 --> 00:54:15,439
Speaker 2: the radio. I was like, what's that sound that goes?

1006
00:54:20,560 --> 00:54:24,800
Speaker 2: You're like, what the fuck? Never mind, You're.

1007
00:54:24,160 --> 00:54:25,759
Speaker 3: Like bringing a friend for the other room to do

1008
00:54:25,800 --> 00:54:31,360
Speaker 3: other instrumentation like no, no, no, hold on coming on bass.

1009
00:54:32,840 --> 00:54:34,640
Speaker 1: As good as the time when you called and asked

1010
00:54:34,640 --> 00:54:37,400
Speaker 1: what the song was some rebox or some nikes.

1011
00:54:37,680 --> 00:54:43,279
Speaker 2: Oh I love that night, all right.

1012
00:54:43,400 --> 00:54:45,680
Speaker 1: So kipped a bunch of songs off of the station.

1013
00:54:45,800 --> 00:54:49,399
Speaker 1: Couldn't figure out the name or artist of one synthpop

1014
00:54:49,880 --> 00:54:53,880
Speaker 1: song that he recorded, so it was eventually uploaded to

1015
00:54:53,920 --> 00:54:57,319
Speaker 1: the internet. In the early two thousands, no one was

1016
00:54:57,360 --> 00:54:59,719
Speaker 1: able to identify it. Even once he turned it over

1017
00:54:59,719 --> 00:55:02,799
Speaker 1: to the end Internet. It became the subject of the

1018
00:55:02,880 --> 00:55:07,080
Speaker 1: YouTube series Tales from the Internet, a Reddit, a discord,

1019
00:55:07,760 --> 00:55:11,000
Speaker 1: and people were just pouring over it, even going so

1020
00:55:11,120 --> 00:55:13,840
Speaker 1: far as to try and decipher the singer specific accent

1021
00:55:14,120 --> 00:55:18,200
Speaker 1: and gleam possible lyrical meanings and like work their way

1022
00:55:18,400 --> 00:55:21,400
Speaker 1: back from that, like, Okay, so eighty four, what nation

1023
00:55:21,560 --> 00:55:26,680
Speaker 1: would have been having thoughts that meant this thing? Like,

1024
00:55:26,680 --> 00:55:29,719
Speaker 1: like some of the lyrics are so funny, they're just

1025
00:55:29,760 --> 00:55:34,200
Speaker 1: like such just eighties music, vague bullshit.

1026
00:55:33,920 --> 00:55:36,640
Speaker 2: Like are they saying here the young and Restless dreaming?

1027
00:55:37,040 --> 00:55:42,080
Speaker 2: Or here You're under arrest for screaming? Is the song

1028
00:55:42,160 --> 00:55:47,440
Speaker 2: called like the Wind? Or locked Away?

1029
00:55:48,360 --> 00:55:52,719
Speaker 3: It's like, I'm I'm actually pretty sure it's a screaming one.

1030
00:55:52,960 --> 00:55:54,840
Speaker 2: Let's hear the track though, because I think it's important

1031
00:55:54,840 --> 00:55:56,160
Speaker 2: just to kind of hear it, just to give us

1032
00:55:56,200 --> 00:55:58,520
Speaker 2: an idea of what everyone was going crazy for.

1033
00:56:02,600 --> 00:56:12,799
Speaker 4: Uh huh, Okay, this semi goes, oh, I I just

1034
00:56:13,400 --> 00:56:15,360
Speaker 4: died in your arms to night.

1035
00:56:17,880 --> 00:56:19,040
Speaker 2: You're under arrest.

1036
00:56:25,800 --> 00:56:27,399
Speaker 3: Kind of sounds like a Gregorian chance.

1037
00:56:28,560 --> 00:56:30,520
Speaker 2: Yeah, Like it kind of reminds me of the Soviet

1038
00:56:30,520 --> 00:56:31,480
Speaker 2: that Soviet.

1039
00:56:31,160 --> 00:56:34,080
Speaker 10: Union thought, that's that's one of my favorite that videos

1040
00:56:34,080 --> 00:56:36,000
Speaker 10: that yo yo yo yo yo yo yo yo yo

1041
00:56:36,160 --> 00:56:38,640
Speaker 10: yoh y'all yo yo yo yo ya yooa the yo

1042
00:56:38,719 --> 00:56:41,000
Speaker 10: yo yo guy where it's just like yo, they have

1043
00:56:41,200 --> 00:56:43,000
Speaker 10: like a complete man.

1044
00:56:43,080 --> 00:56:43,560
Speaker 2: I think.

1045
00:56:45,920 --> 00:56:47,960
Speaker 1: It was like they just had a different, a whole

1046
00:56:48,000 --> 00:56:51,879
Speaker 1: different world going on behind the curtain there.

1047
00:56:52,360 --> 00:56:53,840
Speaker 2: Anyways, Uh they.

1048
00:56:54,560 --> 00:56:59,000
Speaker 3: Well, when I saw American ship, I was like what

1049
00:56:59,600 --> 00:57:02,680
Speaker 3: it was? People are like Strawberry Shortcake?

1050
00:57:04,719 --> 00:57:06,480
Speaker 2: What why?

1051
00:57:06,560 --> 00:57:09,320
Speaker 3: They're like I'm wearing her shirt and you can scratch

1052
00:57:09,400 --> 00:57:11,680
Speaker 3: it in its mouths. I'm like, what is happening in them?

1053
00:57:12,760 --> 00:57:15,279
Speaker 2: I want to go. Didn't make that for you at home?

1054
00:57:16,320 --> 00:57:17,800
Speaker 2: At Target?

1055
00:57:17,880 --> 00:57:19,000
Speaker 3: The fuck is Target?

1056
00:57:20,280 --> 00:57:23,600
Speaker 1: Uh So they even talked to the DJ who likely

1057
00:57:23,640 --> 00:57:26,280
Speaker 1: first played the song on the radio. They like went

1058
00:57:26,320 --> 00:57:29,920
Speaker 1: back and looked, and we think a editor finally found

1059
00:57:30,000 --> 00:57:30,440
Speaker 1: the song.

1060
00:57:31,040 --> 00:57:37,640
Speaker 2: It's called Subways of the Mind. That is the best, Yo.

1061
00:57:37,800 --> 00:57:41,080
Speaker 1: It's like I got subways like going through my mind,

1062
00:57:41,320 --> 00:57:42,120
Speaker 1: just telling.

1063
00:57:42,640 --> 00:57:45,320
Speaker 3: You ever feel like you got some like I don't know,

1064
00:57:45,480 --> 00:57:48,600
Speaker 3: maybe their thoughts. They're like coming and going and like

1065
00:57:49,080 --> 00:57:52,920
Speaker 3: into more directions and just like you're like, whoa just

1066
00:57:52,960 --> 00:57:57,920
Speaker 3: like a Subway.

1067
00:57:56,000 --> 00:58:01,440
Speaker 2: Was featuring like Jared Fobal Subway. Oh, multiple specific.

1068
00:58:04,000 --> 00:58:07,120
Speaker 3: Artists six inch tune into it.

1069
00:58:07,200 --> 00:58:11,280
Speaker 1: I'll hear you out which artists.

1070
00:58:13,480 --> 00:58:24,000
Speaker 2: I want anyway? They are underrated, You're like what they.

1071
00:58:22,440 --> 00:58:25,400
Speaker 1: Found it by just like pouring through archives of a

1072
00:58:25,440 --> 00:58:29,680
Speaker 1: Hamburg music festival eventually found a band with rock with

1073
00:58:29,880 --> 00:58:33,960
Speaker 1: wave and pop influences. Uh So they then contacted one

1074
00:58:34,000 --> 00:58:37,720
Speaker 1: of the band's members who sent over their old demos

1075
00:58:38,320 --> 00:58:43,040
Speaker 1: and somehow one of them was Subways of the Mind.

1076
00:58:43,440 --> 00:58:47,120
Speaker 2: Yeah. Wow, I had absolutely no idea.

1077
00:58:47,560 --> 00:58:51,680
Speaker 1: What so once they contacted obviously fex f e X

1078
00:58:52,520 --> 00:58:55,600
Speaker 1: whatever the fun that was supposed to mean, and the

1079
00:58:55,640 --> 00:58:58,320
Speaker 1: guy had absolutely no idea that his old band had

1080
00:58:58,360 --> 00:59:03,600
Speaker 1: taken on mythic status online and they are You know,

1081
00:59:03,720 --> 00:59:06,800
Speaker 1: some people are still skeptical and have been like scrutinizing

1082
00:59:06,960 --> 00:59:08,280
Speaker 1: the new information.

1083
00:59:07,960 --> 00:59:10,440
Speaker 3: To why would you lie? Why would you lie about

1084
00:59:10,440 --> 00:59:13,320
Speaker 3: something like that, to claim and obscure thing that you

1085
00:59:13,360 --> 00:59:14,840
Speaker 3: didn't even give a fuck about because you.

1086
00:59:16,720 --> 00:59:18,360
Speaker 2: Don't want that. You don't because you don't want them

1087
00:59:18,360 --> 00:59:21,920
Speaker 2: to win. That's why. You know, what I means is

1088
00:59:21,960 --> 00:59:23,280
Speaker 2: seven years trying to figure that out.

1089
00:59:24,440 --> 00:59:27,720
Speaker 3: Yeah, that's literally like the voting against somebody.

1090
00:59:27,840 --> 00:59:29,600
Speaker 2: I'm going I'm.

1091
00:59:29,440 --> 00:59:33,960
Speaker 3: Gonna fucking spike do this. Watch the claim this band.

1092
00:59:34,200 --> 00:59:37,640
Speaker 1: I think people would lie because they are part of

1093
00:59:37,680 --> 00:59:41,000
Speaker 1: a vast conspiracy that doesn't want to admit that we

1094
00:59:41,160 --> 00:59:45,840
Speaker 1: have made contact with other dimensions. And somehow some of

1095
00:59:45,920 --> 00:59:50,400
Speaker 1: the music leaks via the subway, via subways the mind,

1096
00:59:51,040 --> 00:59:54,640
Speaker 1: thank you so much. Yeah, they were tunneling subways beneath

1097
00:59:55,000 --> 00:59:59,640
Speaker 1: Humburg and broke through to an alternate dimension, alternate version

1098
00:59:59,640 --> 01:00:04,320
Speaker 1: of the eighties where JFK was never assassinated. Stay with me.

1099
01:00:04,880 --> 01:00:07,880
Speaker 3: And I can't. I have a tiny woman and it's

1100
01:00:08,000 --> 01:00:10,760
Speaker 3: very sooth. I can't absorb here.

1101
01:00:10,880 --> 01:00:14,320
Speaker 2: Why did you take a seat? You got forty five minutes.

1102
01:00:15,280 --> 01:00:18,040
Speaker 3: You don't have to go anywhere, right anywhere?

1103
01:00:18,360 --> 01:00:21,720
Speaker 2: You know what? I sit with you? Actually, all right,

1104
01:00:21,720 --> 01:00:23,760
Speaker 2: I'm gonna bring my hand. I'm gonna eat with you. Actually,

1105
01:00:24,120 --> 01:00:25,600
Speaker 2: I'm gonna have my Salisbury steak with you.

1106
01:00:25,720 --> 01:00:29,440
Speaker 3: Hey, you look real nice. So anyways, I was chilly.

1107
01:00:30,000 --> 01:00:32,200
Speaker 2: Hey, can have one of your potato skins. Anyways, the

1108
01:00:32,240 --> 01:00:33,920
Speaker 2: band has reunited.

1109
01:00:34,640 --> 01:00:38,200
Speaker 1: They look like a combination of like some guy my

1110
01:00:38,280 --> 01:00:41,760
Speaker 1: dad would go golfing with Tom York if he had

1111
01:00:41,800 --> 01:00:47,200
Speaker 1: been underground for the past forty years and fleas accountant

1112
01:00:47,560 --> 01:00:48,320
Speaker 1: brother in law.

1113
01:00:48,360 --> 01:00:52,280
Speaker 2: Wow, killing it, but it was good broeling.

1114
01:00:52,360 --> 01:00:54,880
Speaker 3: The guy on the left looks like he's like a

1115
01:00:54,880 --> 01:00:55,920
Speaker 3: Sopranos extra.

1116
01:00:56,400 --> 01:01:00,400
Speaker 2: Yeah yeah, yeah, in the back, so.

1117
01:01:00,360 --> 01:01:04,680
Speaker 3: What so we wrote the song, so what what you know?

1118
01:01:04,760 --> 01:01:06,760
Speaker 2: The guy in the middle so wavy too, He got

1119
01:01:06,800 --> 01:01:08,920
Speaker 2: that long white hair in his eyes his.

1120
01:01:09,040 --> 01:01:10,280
Speaker 3: Highest fuck you could tell.

1121
01:01:10,600 --> 01:01:14,960
Speaker 2: Yeah, he's probably I knew this day would come. People

1122
01:01:15,040 --> 01:01:17,600
Speaker 2: wanted to fucking make fun of our pop band with

1123
01:01:17,760 --> 01:01:21,920
Speaker 2: wave and rock influences, But look at us now they

1124
01:01:21,960 --> 01:01:22,840
Speaker 2: love a song. Ready.

1125
01:01:23,600 --> 01:01:26,640
Speaker 3: I'm just saying that that man also probably like grows

1126
01:01:26,640 --> 01:01:29,320
Speaker 3: his own mushrooms. Like, there's no way he hasn't been

1127
01:01:29,360 --> 01:01:30,480
Speaker 3: tripping since that.

1128
01:01:30,400 --> 01:01:31,640
Speaker 2: Song was pobably right.

1129
01:01:31,760 --> 01:01:35,640
Speaker 1: I mean, all the pros I mean, and if you're

1130
01:01:35,680 --> 01:01:38,800
Speaker 1: having a thought that like there might be subways.

1131
01:01:38,280 --> 01:01:42,320
Speaker 2: In my mind in the year nineteen eighty four, your yo.

1132
01:01:44,560 --> 01:01:46,960
Speaker 3: Anyways, you can't buy that kind of insight, you.

1133
01:01:46,880 --> 01:01:49,840
Speaker 2: Know, you can't definitely not care not for any.

1134
01:01:49,760 --> 01:01:51,640
Speaker 3: Number of potatoes skins in the world.

1135
01:01:53,360 --> 01:01:55,400
Speaker 2: Anyway. Shout out jam Shout out.

1136
01:01:55,200 --> 01:01:58,760
Speaker 1: A four or four media good good website that still

1137
01:01:58,840 --> 01:02:04,160
Speaker 1: does journalism that wrote this wrote a nice background or

1138
01:02:04,320 --> 01:02:04,960
Speaker 1: on this one.

1139
01:02:04,760 --> 01:02:06,480
Speaker 3: Who did you guys picture in your head when you

1140
01:02:06,480 --> 01:02:09,200
Speaker 3: heard the story? What did you think the band was

1141
01:02:09,200 --> 01:02:09,720
Speaker 3: going to look like?

1142
01:02:10,720 --> 01:02:13,080
Speaker 2: It's some I don't know. I I thought it was

1143
01:02:13,120 --> 01:02:15,600
Speaker 2: either going to be like dudes who just recorded like

1144
01:02:15,680 --> 01:02:18,760
Speaker 2: three songs and then like stopped making music pretty quickly,

1145
01:02:19,360 --> 01:02:22,840
Speaker 2: or like some like a one man show kind of person,

1146
01:02:23,480 --> 01:02:26,160
Speaker 2: one person show sort of thing who's like I did

1147
01:02:26,160 --> 01:02:28,840
Speaker 2: everything since a keyboard and a guitar.

1148
01:02:29,400 --> 01:02:31,360
Speaker 3: It man, that's fucking plausible.

1149
01:02:32,320 --> 01:02:35,280
Speaker 2: Sways in my mind, they're like yeah, yeah, yeah.

1150
01:02:35,160 --> 01:02:39,520
Speaker 3: Yeah, La.

1151
01:02:42,320 --> 01:02:45,360
Speaker 2: With like a listening horn to pictured.

1152
01:02:45,040 --> 01:02:50,080
Speaker 3: Like old Johnny Rotten, who's like, you know, kind of

1153
01:02:50,280 --> 01:02:52,440
Speaker 3: a piece of ship, and so I pictured like kind

1154
01:02:52,480 --> 01:02:54,640
Speaker 3: of three versions of that guy for some reason.

1155
01:02:55,080 --> 01:02:56,560
Speaker 2: Yeah no, this is the kind of thing where like

1156
01:02:56,600 --> 01:02:58,640
Speaker 2: those three guys are going to go back to their jobs,

1157
01:02:58,680 --> 01:03:00,000
Speaker 2: like I bet one of them is like a teach,

1158
01:03:00,360 --> 01:03:03,520
Speaker 2: and they're like, you know, I'm kind of famous on Reddit.

1159
01:03:04,040 --> 01:03:07,120
Speaker 2: Shut the fuck up, mister Spiegel, Shut the fuck up.

1160
01:03:07,280 --> 01:03:10,120
Speaker 2: Just get on with this potato skins class.

1161
01:03:12,280 --> 01:03:14,920
Speaker 1: Sophia, what a pleasure having you on the Daily Zeitgeist.

1162
01:03:15,000 --> 01:03:17,040
Speaker 1: As always, Where can people find you?

1163
01:03:17,120 --> 01:03:18,760
Speaker 2: Follow? You all that good stuff.

1164
01:03:19,720 --> 01:03:24,600
Speaker 3: So I am doing shows featuring for my friend Laura

1165
01:03:24,680 --> 01:03:30,480
Speaker 3: Peek at the Laughing Tap in Milwaukee this Friday and Saturday,

1166
01:03:30,960 --> 01:03:34,400
Speaker 3: two shows each night. Come through. I will hug you

1167
01:03:34,720 --> 01:03:37,120
Speaker 3: and we can cry a little bit if you want later,

1168
01:03:37,160 --> 01:03:39,720
Speaker 3: but mostly I'll just be doing really funny comedy. So

1169
01:03:39,800 --> 01:03:41,800
Speaker 3: come through and if you want to check for more dates,

1170
01:03:41,920 --> 01:03:47,160
Speaker 3: I'm at the Sofia on Instagram and everywhere Sophia spelled

1171
01:03:47,240 --> 01:03:48,120
Speaker 3: sofiy a.

1172
01:03:48,760 --> 01:03:50,919
Speaker 1: Wonderful And is there a work of media that you've

1173
01:03:50,920 --> 01:03:51,880
Speaker 1: been enjoying.

1174
01:03:52,200 --> 01:03:55,360
Speaker 3: Other than the podcast where I have to listen to

1175
01:03:55,360 --> 01:03:57,800
Speaker 3: a grown man say that he has gone to rear repeatedly.

1176
01:03:58,400 --> 01:04:00,320
Speaker 2: Oh, I've never heard of that.

1177
01:04:00,160 --> 01:04:04,400
Speaker 3: Don Rena. Anyway, a work in media I've been enjoying

1178
01:04:04,520 --> 01:04:09,960
Speaker 3: is I got trolled by two amazing Slavic women that

1179
01:04:10,080 --> 01:04:12,120
Speaker 3: drove to see me in Chicago. They asked to take

1180
01:04:12,120 --> 01:04:14,840
Speaker 3: a photo with me after we hung out. They're like, hey,

1181
01:04:14,920 --> 01:04:17,040
Speaker 3: follow us, so we can you know, send you the photo.

1182
01:04:17,320 --> 01:04:19,960
Speaker 3: They post the photo. It's you know, it's a selfie

1183
01:04:19,960 --> 01:04:23,080
Speaker 3: of the three of us and the caption is this

1184
01:04:23,200 --> 01:04:24,760
Speaker 3: woman ask us for a picture?

1185
01:04:28,440 --> 01:04:29,960
Speaker 2: Is that not the.

1186
01:04:29,760 --> 01:04:33,560
Speaker 3: Best, funniest troll of all time got you. Of course

1187
01:04:33,600 --> 01:04:37,280
Speaker 3: I've fucking reposted it immediately, so yeah, anyway, shout out

1188
01:04:37,280 --> 01:04:38,400
Speaker 3: to them, thank you for that.

1189
01:04:39,160 --> 01:04:41,520
Speaker 2: Miles Gray, where can people find you as their working media?

1190
01:04:41,560 --> 01:04:47,720
Speaker 2: You've been enjoying? No, God, where am I at Miles

1191
01:04:47,760 --> 01:04:51,080
Speaker 2: of Gray? Where they got at symbols? Obviously I'm with

1192
01:04:51,160 --> 01:04:53,560
Speaker 2: Sophia on four twenty fiance check us out over there

1193
01:04:53,800 --> 01:04:56,640
Speaker 2: and with Jack talking basketball on Miles and Jack got

1194
01:04:56,640 --> 01:05:00,880
Speaker 2: mad boost. A tweet I like is from Lacey Mosley.

1195
01:05:00,880 --> 01:05:03,960
Speaker 2: We love you at Diva. Lacey, she's curly in Ireland

1196
01:05:05,120 --> 01:05:09,320
Speaker 2: on shooting at a new show. But she treated quote, I

1197
01:05:09,360 --> 01:05:11,920
Speaker 2: went on a great date in Ireland yesterday, No seriously,

1198
01:05:11,920 --> 01:05:13,760
Speaker 2: and I got a fast track this to a wedding

1199
01:05:13,800 --> 01:05:17,160
Speaker 2: in two weeks. Y'all mail me them honey packs, Sierra's

1200
01:05:17,160 --> 01:05:21,080
Speaker 2: Prayer and some new because me and Liam got thirty minutes.

1201
01:05:25,000 --> 01:05:30,120
Speaker 3: Not Liam Liam, it's Liam Pacific. I love it.

1202
01:05:30,840 --> 01:05:34,280
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien

1203
01:05:35,000 --> 01:05:35,680
Speaker 1: work media.

1204
01:05:35,720 --> 01:05:36,680
Speaker 2: I've been enjoying.

1205
01:05:37,000 --> 01:05:39,800
Speaker 1: Go check out our fucking YouTube channel we were doing.

1206
01:05:39,840 --> 01:05:42,760
Speaker 1: We're putting YouTube versions up. You can see what we

1207
01:05:42,800 --> 01:05:45,240
Speaker 1: look like. You can see some of the videos that

1208
01:05:45,280 --> 01:05:49,000
Speaker 1: were making fun of It's a lot of fun. YouTube

1209
01:05:49,040 --> 01:05:52,360
Speaker 1: dot com, slash at The Daily zeke I pod go

1210
01:05:52,480 --> 01:05:53,080
Speaker 1: check it out.

1211
01:05:53,360 --> 01:05:53,920
Speaker 2: It's fun.

1212
01:05:54,440 --> 01:05:57,040
Speaker 1: You can find me on Twitter at Jack Underscore o Brian.

1213
01:05:57,120 --> 01:05:59,360
Speaker 1: You can find us on Twitter at Daily Zekesprad, The

1214
01:05:59,440 --> 01:06:02,040
Speaker 1: Daily es Ica on Instagram. We have a Facebook fan

1215
01:06:02,080 --> 01:06:04,040
Speaker 1: page and a website Daily It's like guys dot Tom

1216
01:06:04,040 --> 01:06:06,440
Speaker 1: where we post our episode in our foot notes or

1217
01:06:06,520 --> 01:06:08,680
Speaker 1: look off to the information that we talked about in

1218
01:06:08,760 --> 01:06:11,520
Speaker 1: today's episode, as well as a song that we think

1219
01:06:11,560 --> 01:06:12,480
Speaker 1: you might enjoy.

1220
01:06:13,080 --> 01:06:17,320
Speaker 2: Miles, what song do you think people might enjoy? I

1221
01:06:17,360 --> 01:06:20,440
Speaker 2: think just some good instrumental music but like takes you

1222
01:06:20,520 --> 01:06:24,240
Speaker 2: to like a time before our modern times. I think

1223
01:06:24,280 --> 01:06:27,360
Speaker 2: that's always it's nice because there's no lyrics here, so

1224
01:06:27,480 --> 01:06:29,240
Speaker 2: like all the textures will kind of put you in

1225
01:06:29,280 --> 01:06:31,640
Speaker 2: a different mental state because it doesn't sound like modern music.

1226
01:06:31,640 --> 01:06:35,120
Speaker 2: But guess what. This was made recently by really talented

1227
01:06:35,200 --> 01:06:38,480
Speaker 2: producer artist guys called John Carol Kirby, and he's like

1228
01:06:38,520 --> 01:06:44,480
Speaker 2: produced stuff for you know, Solange and Frank Ocean Conon Moccason.

1229
01:06:44,560 --> 01:06:47,640
Speaker 2: If you know, Connon maccason also did something on Steve

1230
01:06:47,680 --> 01:06:48,840
Speaker 2: Lacy's last album.

1231
01:06:48,920 --> 01:06:54,240
Speaker 7: So he's like, you know, your favorite artists, probably favorite collaborator,

1232
01:06:54,320 --> 01:06:55,360
Speaker 7: kind of like one of those people.

1233
01:06:55,200 --> 01:06:56,760
Speaker 2: Who's like up in a lot of different stuff. But

1234
01:06:56,840 --> 01:06:59,000
Speaker 2: this track is really cool. It sounds like it's from

1235
01:06:59,400 --> 01:07:02,960
Speaker 2: I don't know, like a lost like yach rock B side,

1236
01:07:03,000 --> 01:07:06,480
Speaker 2: like instrumental take and it's called Mates and it's by

1237
01:07:06,880 --> 01:07:10,040
Speaker 2: John Carrol Kirby to ours two l's than Carol.

1238
01:07:10,600 --> 01:07:12,200
Speaker 1: All right, we will link off to that in the

1239
01:07:12,280 --> 01:07:13,680
Speaker 1: foot notes today.

1240
01:07:13,680 --> 01:07:15,080
Speaker 2: This is a production of iHeartRadio.

1241
01:07:15,120 --> 01:07:17,360
Speaker 1: For more podcasts from my heart Radio, visit the heart

1242
01:07:17,440 --> 01:07:21,720
Speaker 1: Radio ap Apple podcast or wherever you find your favorite shows.

1243
01:07:21,720 --> 01:07:24,240
Speaker 1: That's gonna do it for us this week. We fucking

1244
01:07:24,320 --> 01:07:27,720
Speaker 1: made it. At the end of the week, we hope

1245
01:07:27,720 --> 01:07:30,560
Speaker 1: you have a good weekend. Yep, go here, do something, Yeah,

1246
01:07:30,640 --> 01:07:35,960
Speaker 1: give yourself, Go hang with people who you find restorative.

1247
01:07:36,120 --> 01:07:39,880
Speaker 3: Yeah. And yes, well community community.

1248
01:07:39,480 --> 01:07:42,320
Speaker 1: Yeah, go go find a little community and go bowling

1249
01:07:42,400 --> 01:07:46,160
Speaker 1: with them. We'll be back on Monday morning to tell

1250
01:07:46,200 --> 01:07:48,520
Speaker 1: you some of the things that happened over the weekend,

1251
01:07:49,120 --> 01:07:49,480
Speaker 1: and we.

1252
01:07:49,480 --> 01:07:53,200
Speaker 2: Will talk to you all then. Bye bye.