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Speaker 1: I never I've never had pink Ey, but I mean,

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Speaker 1: I feel like it's just a rite of passage for

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Speaker 1: most children at some point.

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Speaker 2: I don't think i've had pink guy either. Yeah, maybe

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Speaker 2: I did. When I was a kid. I was getting

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Speaker 2: real up in people's asses with my eyes. You know. Look,

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Speaker 2: I never had lice up there. But Miles, you don't

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Speaker 2: have lice exactly, but mice there. You're like, You're like, Jack,

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Speaker 2: I got lice right now, But.

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Speaker 1: Miles, you don't have hair not up here.

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Speaker 2: Actually, oh no, And that's the red band head and

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Speaker 2: shoulder is commercial. But Troy Paula Malu, Yeah, but I

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Speaker 2: don't see flakes. I'm not talking about up here, Honey.

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Speaker 2: I love that Troy pal Malu is still a spokes

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Speaker 2: person the Beautiful. Yeah, he does have just some of

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Speaker 2: the most gorgeous locks. Man, if only I were a Polynesian.

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Speaker 2: I think that every day, my week, but my bald

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Speaker 2: head all solved if I were tongin. Every day we

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Speaker 2: come on here, you know that monologue and Goodwill hunting

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Speaker 2: where he's like every day when I come to pick

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Speaker 2: you up, I fucking hope you're not there, bro. I

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Speaker 2: have the sten to every day we sign onto this podcast.

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Speaker 2: I hope you're Polynesian. Yeah, thank you, thank you, Hello

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Speaker 2: the Internet, and welcome to season three point fifty nine,

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Speaker 2: episode four of Daily's I Guys Say, production of iHeartRadio.

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Speaker 2: This is a podcast where we take a deep dive

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Speaker 2: into America's share consciousness. We are America's only undecided podcast.

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Speaker 2: We're just out here still trying to make up our mind.

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Speaker 2: Which one which side on? Flagrant? On the Flagrant pod. Dude,

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Speaker 2: I'm like, damn, bro, he's so chill. Yeah, what a podcast, guess. Anyways,

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Speaker 2: it's Thursday, Yeah, October tenth ten, two four, good buddy.

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Speaker 2: A lot of cake based things. It's angel Food Cake Day,

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Speaker 2: It's National Cake Decorating Day. And that's about it for cakes.

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Speaker 2: Then you got National metric play first of all, National

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Speaker 2: Metric Day.

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Speaker 1: That can't be for us because we are hostile towards

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Speaker 1: the metric system in this in this household. I mean,

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Speaker 1: I like to pretend I treat the metric system like

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Speaker 1: a book I've never read.

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Speaker 2: And I go, oh yeah, yeah, yeah, oh yeah, about

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Speaker 2: four meters yeah, four km yeah yeah, that's a good

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Speaker 2: size for a car. Wait, this is a good one.

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Speaker 2: National walk to a park day, because you're talking about walking,

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Speaker 2: getting out there, being amongst nature, and we have look

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Speaker 2: in La we have plenty of places you can go

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Speaker 2: to do that kind of thing. And I'm sure just

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Speaker 2: keep your fun can head on a swivel with these

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Speaker 2: drivers is a hey, yeah, as you're walking. As you're walking,

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Speaker 2: keep your eyes, cut off your eyelids. To quote Mike Tomlin,

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Speaker 2: the football coach, cut off your eyelids and keep your

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Speaker 2: head on this. Keep your head on a swivel, exactly.

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Speaker 2: But enjoy, enjoy yourself, enjoy the nature. But it's fucking

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Speaker 2: mad max out there man. Anyways. My name's Jack O'Brien aka.

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Speaker 2: I was down at the cafe with one of my

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Speaker 2: kids when the tune they played had him dancing a jig.

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Speaker 2: I should end the song to see what it was,

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Speaker 2: but I wish I had intended to all because it's

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Speaker 2: neck on yacht. It was the song neck on yacht,

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Speaker 2: not neack on yacht. It's about getting neck on a yacht.

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Speaker 2: It's neck on yacht a lot dirtier than I thought.

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Speaker 2: It's not on a yacht. The first words are I'm

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Speaker 2: getting neck on a yacht. Wow. That one curtisy Van prove.

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Speaker 2: Even then, I kept saying neck on yacht. It's neck

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Speaker 2: on a yacht. I thought it was neck on yacht,

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Speaker 2: which I thought just meant like I'm wearing a cool

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Speaker 2: chain or No, it's neck on a yacht. And the

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Speaker 2: first words are I'm getting neck on a yacht. Yeah,

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Speaker 2: neck on a yacht.

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Speaker 1: Four, my six year old, neck on yacht sounds like

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Speaker 1: the title of like an abstract painting.

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Speaker 2: You're like, this is neck on yacht.

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Speaker 1: It was in nineteen seventy four, and we will start

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Speaker 1: the bidding at four hundred thousand dollars.

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Speaker 2: Twas not that anyways. Shout out to Gunna, I think,

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Speaker 2: and my six year old who likes Gunna in an

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Speaker 2: abstract sense, although I don't think he knows what neck

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Speaker 2: on a yacht means. I'm thrilled to be joined as

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Speaker 2: always by my co host, mister Miles Grass. This Miles

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Speaker 2: Gray aka my podcast Acid. Don't my podcast ascid, don't

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Speaker 2: my podcast ascid, don't have pass? They call me ten

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Speaker 2: din back, Okay.

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Speaker 3: Shout out to el Sion Salad, just talking about you know,

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Speaker 3: this senatory lifestyle of podcasting has caused I would call

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Speaker 3: it gluteo atrophy, perhaps that I'm currently combating with daily

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Speaker 3: bike riding, squats, wall sits and the like.

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Speaker 1: And we did I think Jack, you said it was

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Speaker 1: like I just had a long achilles tend.

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Speaker 2: Just goes from my heel all the way up to

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Speaker 2: your Yeah.

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Speaker 1: Yeah, it's tended back, but it's but it's sending back,

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Speaker 1: but the booty is trending back.

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Speaker 2: So don't worry.

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Speaker 1: I will keep you on when it's when it's photo worthy,

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Speaker 1: I will.

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Speaker 2: I will post, I will post. And I've been talking

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Speaker 2: about this since I went to the louver that I

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Speaker 2: used to people used to have asses. According to sculptures

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Speaker 2: from the ancient Greeks, people had asses, and that we

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Speaker 2: can only dream of Juesdays. Yeah, Juicius Maximus. Anyways, Miles,

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Speaker 2: we are thrilled to be joined once again by a comedian,

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Speaker 2: a New York Times best selling author and relationship expert

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Speaker 2: with a master's in psychology. No big deal. Her new

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Speaker 2: book is I Do I Think Conversations about Modern Marriage?

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Speaker 2: You know her from just between Us. It's the brilliant

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Speaker 2: and talented Alison Erasca. Oh thanks for coming on. I

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Speaker 2: feel like the last couple of times I've missed you

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Speaker 2: when we've had a guest host. Yeah, due to I

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Speaker 2: think maybe my marriage or child.

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Speaker 4: I took it personally either way, I know, I know, yeah,

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Speaker 4: before this it was very contentious.

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Speaker 2: When I said it on, You're like.

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Speaker 5: Oh, well, no Joy, all right, oh you got fired

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Speaker 5: from your shift at the asshole Factory.

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Speaker 2: I was doing stuff, Allison. No, thanks for coming on,

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Speaker 2: and I'm glad we get to do this face to face.

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Speaker 2: And I think since the last time face to face

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Speaker 2: on zoom, I think since the last time you were

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Speaker 2: on the New York Times best selling might be and

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Speaker 2: also the Masters in Psychology, I'm.

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Speaker 4: Writing that, I'm writing the New York Times bestseller. I'm

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Speaker 4: writing that from a while ago. But I'm gonna write

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Speaker 4: it right into my grave because you say it forever.

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Speaker 2: Okay, yeah, but.

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Speaker 4: The masters is you? Yes, I graduated last August.

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Speaker 2: Congratulation, Thank you. What's that you are a master of psychology?

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Speaker 2: What a great thing to be a master of? Well?

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Speaker 4: It isn'tntil people want you to fix all their problems.

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Speaker 2: For you, you know, right, Yeah, a couple of stories.

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Speaker 4: The problem is that I then want to do it,

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Speaker 4: even though in my head I'm going this is not ethical.

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Speaker 4: You're not a licensed therapist.

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Speaker 2: You're supposed to do this.

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Speaker 4: But then I'm like, yeah, here's exactly.

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Speaker 2: What you should do, right, right.

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Speaker 1: I was just talking about like how it's underrated, how

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Speaker 1: people like how the comic book characters that appeal to

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Speaker 1: you just kind of reveal a lot about what's going

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Speaker 1: on inside of you. And I was like, maybe I'll

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Speaker 1: send you a list of comic book characters. You can

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Speaker 1: kind of help me work through those, because.

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Speaker 2: Yeah, they're all toxic masculinity. But yeah, thanks, Yeah, I'm rigid.

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Speaker 1: Yeah that's my problem. Oh man, how long?

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Speaker 2: What's what's that process like of.

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Speaker 1: Being like, you know what, I'm gonna go get my

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Speaker 1: master's in psychology, like after you've had like a career

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Speaker 1: and done so many things.

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Speaker 4: Well, part of it was the panic of being in

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Speaker 4: the entertainment industry, and so I originally went back because

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Speaker 4: I was like, I don't know if this is sustainable.

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Speaker 4: I should get a license to be a therapist, you know,

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Speaker 4: as a backup plan, right. But then during the process

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Speaker 4: of getting the degree, I had a few successes and

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Speaker 4: I felt more secure in my writing career, and I

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Speaker 4: also just realized that being like a licensed therapist didn't

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Speaker 4: really jive with who I am, because you're just supposed

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Speaker 4: to not really you know, reveal every intimate detail about

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Speaker 4: yourself and have hundreds of hours of you talking about

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Speaker 4: everything on the internet for your future clients to be

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Speaker 4: able to watch, right, Right, So I was like, Okay,

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Speaker 4: that doesn't quite make sense for me to do it

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Speaker 4: in that capacity, but I'm still so interested in this,

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Speaker 4: and I still really care a lot about mental health

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Speaker 4: advocacy and about writing about mental health, and so I

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Speaker 4: sort of shifted from the mindset of like one on

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Speaker 4: one work and instead wanting to be able to sort

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Speaker 4: of do it from like a larger perspective, like a

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Speaker 4: you know, like writing and like sharing us as sort

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Speaker 4: of like the funnel from experts who do have that

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Speaker 4: license to people who maybe can't access therapy, don't know

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Speaker 4: about therapy, aren't interested, or just like can't afford it,

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Speaker 4: or just supplemental for people that are already in therapy.

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Speaker 4: And so it took me three and a half years

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Speaker 4: because I did it pretty slowly, and I also switched

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Speaker 4: degrees in the middle from clinical psychology to just psychology, right,

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Speaker 4: So I took a ton of classes, I did not

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Speaker 4: need to take Those are the ones where I actually

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Speaker 4: learned stuff. So I'm like when they say education for

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Speaker 4: the sake of education, in this case, that did work

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Speaker 4: out for me, right, But I can't be happier not

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Speaker 4: to be in school anymore. I don't like it. It's

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Speaker 4: not fun for me.

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Speaker 2: I feel like it's like especially in La right, with

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Speaker 2: a lot of with the industry being cooked in the

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Speaker 2: manner that it is at the moment, I know it's

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Speaker 2: it's dying. Uh yeah.

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Speaker 1: I know a few people who are like, I think

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Speaker 1: we're gonna be a lawyer now.

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Speaker 2: We're starting to have to listen to our parents were

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Speaker 2: like yeah, okay, And.

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Speaker 1: I'm like, well, I guess I did. I guess I

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Speaker 1: did get this degree so I could teach history, so

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Speaker 1: all right, yeah yeah, show up at my old high school.

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Speaker 2: They're like, oh my god, dude, okay.

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Speaker 4: Wild is like, you can't even get the jobs that

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Speaker 4: Like a few years ago, people were like, oh, I

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Speaker 4: guess I'll go do this. Now they're like, no, no,

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Speaker 4: you don't have five years of relevant experience to this

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Speaker 4: exact job, so we're not hiring you.

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Speaker 2: Right, Yeah, all right, Allison, We're going to get to

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Speaker 2: know you a little bit better in a moment. First,

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Speaker 2: a couple of the things we're talking about today. We've

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Speaker 2: got a powerful new pull from out of the Trump

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Speaker 2: world world that involves airplane napkins for some reason. So

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Speaker 2: we'll talk about that because I don't I don't like

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Speaker 2: this news at all. Things are things are looking grim

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Speaker 2: for the wild Yeah, huge, if true. We're gonna talk

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Speaker 2: about the crypto industry and just generally who is funding,

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Speaker 2: who is donating to politics. I feel like it's been

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Speaker 2: a pretty good radar of like what the world is

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Speaker 2: going to look like years into the future if you

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Speaker 2: just look at who is donating hundreds of millions of

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Speaker 2: dollars to politicians. And so we're gon we're gonna look

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Speaker 2: at who's donating in this upcoming to this upcoming election.

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Speaker 2: We'll talk about Wimbledon has now accepted AI. They're accepting

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Speaker 2: the future. They're going to be using the electronic line

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Speaker 2: judges for the Wimbledon tennis tournament Wimbledon and it's property. Yeah,

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Speaker 2: there's like kind of an interesting ultier your motive behind

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Speaker 2: them doing that? That is a little troubling and sinister.

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Speaker 2: All of that plenty more. But first, Alison, We do

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Speaker 2: like to ask our guest what is something from your

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Speaker 2: search history?

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Speaker 4: So I'm currently working on a like a short form

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Speaker 4: piece for Cosmo UK, and so my history right now

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Speaker 4: is just like divorce rates in Wales. Boo, how high

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Speaker 4: is Boomer divorce rates? Just like me, desperately trying to

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Speaker 4: gather information about how frequently people are getting divorced.

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Speaker 2: How the marriages are going in Wales. Yeah, how are

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Speaker 2: the Welsh doing in the marriage?

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Speaker 4: Well, UK and Wales, the overall divorce rate is down,

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Speaker 4: but the divorce rate among people sixty and up is

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Speaker 4: is has increased.

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Speaker 2: Oh okay, that's what I'm hearing, like kind of across

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Speaker 2: the board.

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Speaker 1: Yeah, is that kind of like with people just kind

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Speaker 1: of just being like, I don't need to stick around

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Speaker 1: for this.

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Speaker 4: Well, Boomers have like the highest divorce rate, like of

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Speaker 4: any general and I think it's because a lot of

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Speaker 4: them got married, because I think they had to get married,

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Speaker 4: and now they're like, oh, actually I don't need this

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Speaker 4: anymore and I'm miserable, So right right.

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Speaker 2: Right, They they like stay together for the kids and

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Speaker 2: then are all getting divorced once the kids are in college.

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Speaker 4: Essentially, Is that kind of every couple is different. But

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Speaker 4: I think that that now that society just accepts divorce, right,

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Speaker 4: then it's just like more of a possibility for people

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Speaker 4: without it feeling like, you know, life or death to

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Speaker 4: have to ent.

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Speaker 1: Your marriage right right, And I feel like divorce him

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Speaker 1: is like the thing a reply you see constantly on

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Speaker 1: the internet nowadays too.

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Speaker 4: It's just like often warranted.

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Speaker 6: Yeah, no, of course, of course, yeah, because I think

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Speaker 6: a lot of times people it's weird when you see

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Speaker 6: people asking for advice on the internet and they're describing

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Speaker 6: like such function situation, yeah, and they're like I just

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Speaker 6: don't know what to do, and you're like, oh, oh,

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Speaker 6: please advocate for yourself, and mentioned this.

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Speaker 2: To anyone before. But it's like really particular about like

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Speaker 2: dressing me every morning, right right. It's like Jesus Christ,

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Speaker 2: I can't be trusted with using open flames in our kitchen.

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Speaker 2: It's just very it's very hard.

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Speaker 4: Yeah that that to be fair. My my husband will

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Speaker 4: probably say I couldn't be trusted with that either.

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Speaker 2: Yeah.

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Speaker 4: I set the microwave on fire a bit.

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Speaker 2: And go, wow, that put a chip bag in, like

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Speaker 2: a metallic chip bag in there that actually started on fire.

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Speaker 2: I seen it. I've like fucked up and like left

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Speaker 2: something metallic in there long enough for sparks to start. Yeah,

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Speaker 2: I've never like I've never known it to be like

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Speaker 2: that flammable.

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Speaker 4: Well, my mistake was I got away with it once.

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Speaker 2: Uh huh.

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Speaker 4: I'm pretty sure I like used aluminum oil once or

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Speaker 4: something and it was fine. And then I was like

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Speaker 4: everyone's been lying. I did it the second time and

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Speaker 4: it was a full fire.

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Speaker 2: Oh my god.

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Speaker 4: What's wild about having anxiety, like an anxiety disorder since

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Speaker 4: I was like four years old, is that I'm incredible

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Speaker 4: in a crisis. Like everything has prepared me for that

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Speaker 4: to happen. So like the microwave caught a fire and

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Speaker 4: I was like, ah, yes, and I just like very

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Speaker 4: calmly put it out and had almost no reaction.

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Speaker 1: Yeah, you're like one of those like comic book characters

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Speaker 1: who's like living every single timeline at once. It's like, no,

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Speaker 1: I know this outcome already, I've lived it.

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Speaker 4: But then if I'm running late to a meeting, I

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Speaker 4: like have a heart attack.

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Speaker 2: So right this one. Yeah, that was the thing. As

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Speaker 2: kids we used to do take Rice Krispy treats. Remember

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Speaker 2: the rice Krispy treats are like blue metallic wrapper. Oh yeah,

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Speaker 2: and then you put them in the microwave and then

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Speaker 2: they'd shrink if the yeah, kids don't do this, get warning,

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Speaker 2: do not do this. And this was stupid nineties kids shit.

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Speaker 2: And you could do that with like the little snack

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Speaker 2: chip bags, like the ones you put in your lunch bag,

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Speaker 2: like Dorito's. You could they would shrink down in size

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Speaker 2: for like just the little teensiest bit of microwave energy. Yeah, anyway,

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Speaker 2: to what end smiled.

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Speaker 4: Just to see that happen was exciting.

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Speaker 2: Yeah, and then you'd be like, look, it's all tiny,

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Speaker 2: like it would just shrink up. And then you'd be

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Speaker 2: like it's all hard as a rock and tiny.

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Speaker 1: And then you would, I don't know, just bring it

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Speaker 1: to school and just choke it.

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Speaker 2: But you know, no more snack or you did obviously

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Speaker 2: it's what you did with the trash. You get to

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Speaker 2: have fun with the trag. You don't even think.

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Speaker 1: No, no, no, no, no, that's interesting to me.

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Speaker 2: No, it was just shrinking the wrapper.

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Speaker 4: Now everything got shrunk and you made like.

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Speaker 2: Doll yeah right right right, I'm like rick moranas and

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Speaker 2: honey drunk or some sh and then you can like

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Speaker 2: keep it with you on like long flights or something

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Speaker 2: you have like dehydrated tiny snacks.

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Speaker 1: I've created the most colorically dense snack on your.

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Speaker 2: I mean marshmallows. You put a marshmallow in the microwave,

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Speaker 2: that motherfucker blows up. Like That's the closest I've ever

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Speaker 2: felt to the power of a moranas is like you

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Speaker 2: put you put a marshall and that that thing will

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Speaker 2: get big on you, and that thing will get big

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Speaker 2: on you, that thing will get that thing will blow

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Speaker 2: up like a tick on you. There. Yeah. Yeah, I've

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Speaker 2: been a dad for too long. What is something you

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Speaker 2: think is underrated?

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Speaker 4: I think something that's really underrated is reading a book

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Speaker 4: right before you go to bed. This has been a

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Speaker 4: part of my routine, I think maybe since I could read,

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Speaker 4: and it's really a wonderful way to fall asleep because

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Speaker 4: I think a lot of us are on our phones,

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Speaker 4: and I definitely have my phone time before my kindle time.

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Speaker 4: But something about reading like a book and not be

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Speaker 4: not scrolling it kind of like it sets us time

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Speaker 4: for you every day that you're reading, because I know

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Speaker 4: so many people who like want to read, but then

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Speaker 4: are like, but when do I do it? But if

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Speaker 4: you have, as we call it in my home, reading time,

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Speaker 4: oh or bed everywhere every day?

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Speaker 2: Can I use that?

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Speaker 4: Absolutely?

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Speaker 2: It would mean a lot of such trademark.

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Speaker 4: Yeah, reading time, Yeah.

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Speaker 2: Yeah, reading time? Is it just like is it more

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Speaker 2: like because I get obviously like the the scroll, it

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Speaker 2: just kind of gets your mind active in ways.

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Speaker 1: It's not great before bed. The light cannot be great

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Speaker 1: like in your circadian rhythms, but it is also like

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Speaker 1: it's probably you might do like you're more maybe aware

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Speaker 1: like as you doze when you read, like oh oh

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Speaker 1: I'm dozing.

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Speaker 4: Yeah, like it kind of like I mean, obviously if

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Speaker 4: you're reading something that's like so gripping, but even if

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Speaker 4: you're reading a book you like, it can't kind of

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Speaker 4: like help you fall into sleep and like get tired.

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Speaker 4: And then you also just know that like every day

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Speaker 4: you're reading at least a little bit, which is nice.

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Speaker 2: Yeah, for sure. Falling into sleep is a nice way

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Speaker 2: to describe it as opposed to falling asleep. Falling into sleep,

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Speaker 2: I don't fall asleep. I tread water until I sink

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Speaker 2: to quote, yeah, I think Billy would. So you said

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Speaker 2: you're not scrolling, But how do you get to the

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Speaker 2: next part of the book. It's been a while since

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Speaker 2: I've read a book.

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Speaker 4: But is it okay? It's a.

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Speaker 2: It's a.

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Speaker 4: Were you like it's a it's a left to right

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Speaker 4: instead of it up to down. Oh okay, okay, in

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Speaker 4: a way, I am still scrolling, but the interface of

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Speaker 4: a kindle doesn't have that bad light the same like

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Speaker 4: whatever it's called.

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Speaker 2: Blue written a book to my kid and he kept

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Speaker 2: trying to scroll to the next page. I feel like

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Speaker 2: that's the thing somebody would make up for Twitter kept

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Speaker 2: trying to pinch and zoom in on the word. He

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Speaker 2: couldn't understand. It's not your iPad. What is something that

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Speaker 2: you think is overrated?

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Speaker 4: I think independence is overrated. I'm like really anti being

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Speaker 4: independent these days. I I don't think you should be

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Speaker 4: co dependent, but I think there's a sweet spot called interdependence,

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Speaker 4: where like you let your self depend on other people

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Speaker 4: they depend on you, but you also go out and

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Speaker 4: have your own life. And I think that, like, especially

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Speaker 4: American culture is just like no, you must be able

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Speaker 4: to do everything on your own, and that's just like

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Speaker 4: not not nice and often not feasible. So I'm anti.

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Speaker 2: Independence, sure sure, sure not. According to this little declaration

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Speaker 2: of independence that I keep on me at all times,

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Speaker 2: we need a declaration of interdependence. If interdependence yeah, yeah,

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Speaker 2: belong to a club. Why they have friends? Yeah, you

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Speaker 2: just have.

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Speaker 1: We just have trouble asking for help, you know what

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Speaker 1: I mean. That's like where the independence mindset comes in.

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Speaker 1: It's like I don't need help.

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Speaker 2: I can do this.

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Speaker 1: Where that's to your point, Like, that's the most fulfilling

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Speaker 1: part of having relationships with people is that you can

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Speaker 1: be like I need help, and then you have people

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Speaker 1: like Hi, can I help you? And you're like, wow,

401
00:20:53,840 --> 00:20:56,600
Speaker 1: this is this is cool. I don't have to bootstrap

402
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Speaker 1: my way out of this narrobleson.

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Speaker 2: When that person shows up. I'm just smoking a cigarette

404
00:21:01,080 --> 00:21:02,920
Speaker 2: sand the person next to me. Who's this guy who's

405
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Speaker 2: beat it, beat it, beat it, beat it, creep? I

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Speaker 2: need help, man, I help you get the fuck out

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Speaker 2: the fuck out of here. WHOA look at this creep?

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Speaker 2: What do you think I mean? Like?

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Speaker 1: Are is that sort of like the main like or

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Speaker 1: how how do you sort of make sense of your

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Speaker 1: of embracing interdependence versus independence?

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Speaker 4: I think yeah, it's that balance of like actually accepting

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Speaker 4: the help and then also like being comfortable relying on

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Speaker 4: on somebody. Right, So, as we talked about before we

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Speaker 4: started recording, my mom passed away like two and a

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Speaker 4: half weeks ago, and it was horrible, and she died

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Speaker 4: from a very rare, awful disease called c JD. But

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Speaker 4: like so many people showed up for us and helped,

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Speaker 4: and like my sister's friends were like taking care of

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Speaker 4: her children, like my friends were like doing stuff for

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Speaker 4: me in Los Angeles. Like it was just like a

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Speaker 4: period of time where like we just like actively needed

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Speaker 4: help and then to like realize that people not only

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Speaker 4: could do that, but like wanted to do that. There

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Speaker 4: were even times were like I didn't necessarily need someone

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Speaker 4: to do something, but I could tell that they would

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Speaker 4: just want to do Yeah. Yeah, Like you.

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Speaker 2: Have garbage you need taken out, I'll fucking come throw

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Speaker 2: your garbage out and bring some whatever.

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Speaker 4: Yeah, like literally yeah, And so I think it just

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Speaker 4: like really, I mean, it was something I'd obviously already

432
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Speaker 4: been thinking a lot about, you know, having this whole

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Speaker 4: book on marriage coming out, and been researching, you know,

434
00:22:33,080 --> 00:22:36,080
Speaker 4: marriage for the last few years. But just just like, really,

435
00:22:36,320 --> 00:22:39,280
Speaker 4: you know solidified for me that like, none of this

436
00:22:39,359 --> 00:22:41,359
Speaker 4: is really worth it if we don't have people in

437
00:22:41,400 --> 00:22:43,480
Speaker 4: our lives that we like, care about and connect with

438
00:22:43,600 --> 00:22:44,880
Speaker 4: and show up for.

439
00:22:45,920 --> 00:22:48,800
Speaker 2: Yeah, and at a like Zeitgey's news level, I mean,

440
00:22:48,880 --> 00:22:53,639
Speaker 2: as we're recording this, Hurricane Milton is a few hours

441
00:22:53,680 --> 00:22:55,960
Speaker 2: away from making landfall. But I mean we talked about

442
00:22:56,040 --> 00:23:00,159
Speaker 2: yesterday that Wow, the mainstream media wants to focus on,

443
00:23:00,880 --> 00:23:03,800
Speaker 2: you know, looting and acts of violence that happened in

444
00:23:03,840 --> 00:23:08,200
Speaker 2: the wake of these hurricanes. Like really the overwhelming account

445
00:23:08,240 --> 00:23:11,919
Speaker 2: that you get from these sorts of disasters is like

446
00:23:12,000 --> 00:23:14,879
Speaker 2: other people helping one another. But like you said, like

447
00:23:14,920 --> 00:23:17,399
Speaker 2: we're in a disaster and a really difficult moment, like

448
00:23:17,480 --> 00:23:20,360
Speaker 2: people show up for one another. It's just like when

449
00:23:20,400 --> 00:23:24,600
Speaker 2: it's at this level of like abstraction of you know, institutions,

450
00:23:24,760 --> 00:23:26,919
Speaker 2: that things start to get fucked up.

451
00:23:27,040 --> 00:23:30,399
Speaker 4: But yeah, and just like with the way society is built,

452
00:23:30,440 --> 00:23:33,160
Speaker 4: like you can't just like go get a regular job

453
00:23:33,200 --> 00:23:35,480
Speaker 4: and then buy yourself the house the way that you

454
00:23:35,600 --> 00:23:38,359
Speaker 4: used to and or like that some people were able to,

455
00:23:38,520 --> 00:23:40,480
Speaker 4: and so now there's this like I don't know, there's

456
00:23:40,520 --> 00:23:43,560
Speaker 4: just like this weirdness around like depending on your parents

457
00:23:43,640 --> 00:23:46,760
Speaker 4: or depending on like your extended family, but you have

458
00:23:46,800 --> 00:23:50,040
Speaker 4: to like a lot of times, like that's the best option.

459
00:23:50,160 --> 00:23:52,359
Speaker 4: And I think that like we've built so much guilt

460
00:23:52,440 --> 00:23:55,199
Speaker 4: around that when like, in reality, like it's like a

461
00:23:55,320 --> 00:23:58,360
Speaker 4: privilege to be able to maybe depend on your parents,

462
00:23:58,400 --> 00:24:00,679
Speaker 4: even though you grew up thinking by thirty five, I

463
00:24:00,680 --> 00:24:01,920
Speaker 4: shouldn't have to anymore.

464
00:24:02,080 --> 00:24:06,560
Speaker 2: Right, Yeah, for sure, Yeah, we need the system is fucked.

465
00:24:06,560 --> 00:24:09,360
Speaker 2: We need the help, so take it. Yeah, people want

466
00:24:09,400 --> 00:24:09,639
Speaker 2: to give it.

467
00:24:10,000 --> 00:24:12,400
Speaker 1: If you can to give the help, if you can to, yes,

468
00:24:12,600 --> 00:24:16,120
Speaker 1: if somebody is definitely willing to accept it, usually all right.

469
00:24:16,280 --> 00:24:19,080
Speaker 2: Let's uh, let's take a quick break and we'll come

470
00:24:19,119 --> 00:24:23,160
Speaker 2: back and we'll talk about somebody who took some help

471
00:24:23,480 --> 00:24:36,520
Speaker 2: from her father in law. We'll be right back. And

472
00:24:36,760 --> 00:24:40,800
Speaker 2: we're back. And this is the time of year where

473
00:24:40,840 --> 00:24:43,359
Speaker 2: everybody there's a lot of nervous energy. People want to

474
00:24:43,400 --> 00:24:45,960
Speaker 2: know what's going on with the election. This is when

475
00:24:46,000 --> 00:24:50,320
Speaker 2: you start getting the stories about the store that sells

476
00:24:50,800 --> 00:24:53,000
Speaker 2: merch from both Like I think it was like t

477
00:24:53,160 --> 00:24:56,760
Speaker 2: shirts from both from both campaigns, and every year, whoever

478
00:24:57,119 --> 00:24:59,800
Speaker 2: they sell the most of or like cups they sell,

479
00:25:00,000 --> 00:25:03,080
Speaker 2: whoever they sell the most cups from ends up winning.

480
00:25:03,119 --> 00:25:06,879
Speaker 2: Like people are just looking for any story that will

481
00:25:06,920 --> 00:25:09,879
Speaker 2: tell them who's going to win the election, and the

482
00:25:10,040 --> 00:25:12,760
Speaker 2: reality is absolutely nobody knows.

483
00:25:13,119 --> 00:25:16,280
Speaker 7: Yeah, I mean I think, well, the thing is too

484
00:25:16,320 --> 00:25:18,919
Speaker 7: there's also this thing that the right is doing in

485
00:25:18,920 --> 00:25:21,280
Speaker 7: the build up to this election, right, there's like constant

486
00:25:21,320 --> 00:25:25,879
Speaker 7: alarmism from con conservatives or it's like illegal voting, especially

487
00:25:25,920 --> 00:25:28,119
Speaker 7: when you're looking at things like Mike Rogers, who's running

488
00:25:28,119 --> 00:25:31,760
Speaker 7: for the Senate in Michigan. He may have illegally voted

489
00:25:31,880 --> 00:25:35,480
Speaker 7: by claiming an address of like a place that was uninhabitable.

490
00:25:35,840 --> 00:25:38,520
Speaker 7: That's another news story that you know will probably develop

491
00:25:38,560 --> 00:25:41,000
Speaker 7: over you know, that coming weeks or not. But they're

492
00:25:41,040 --> 00:25:43,960
Speaker 7: also like, you know, it's about seating this idea of

493
00:25:43,960 --> 00:25:47,320
Speaker 7: the narrative that this this election has already been.

494
00:25:47,200 --> 00:25:49,960
Speaker 1: Won by Republicans in their supporter's mind. So if they

495
00:25:50,080 --> 00:25:53,440
Speaker 1: begin to contest things, they sort of the framing is

496
00:25:53,480 --> 00:25:55,240
Speaker 1: there to be like what the fuck they stole it

497
00:25:55,280 --> 00:25:58,400
Speaker 1: from us? But it's the anecdotal stuff that you hear

498
00:25:58,440 --> 00:26:00,320
Speaker 1: a lot of, like like you're saying, Jack, like they'll

499
00:26:00,359 --> 00:26:03,000
Speaker 1: be people like I was just with nine thousand black

500
00:26:03,040 --> 00:26:05,639
Speaker 1: cops and they are all voting for Donald Trump.

501
00:26:05,720 --> 00:26:07,800
Speaker 2: They just told me this is going to be a

502
00:26:07,920 --> 00:26:11,840
Speaker 2: huge win. I was with forty two cricket farmers and

503
00:26:11,880 --> 00:26:15,600
Speaker 2: they said they they went from Biden to Trump. This

504
00:26:15,680 --> 00:26:18,520
Speaker 2: thing's in the bag. Like, okay, I mean I did

505
00:26:18,560 --> 00:26:20,160
Speaker 2: this the other day. I don't know if we ended

506
00:26:20,200 --> 00:26:22,159
Speaker 2: up talking about it on Mike, but I talked to you,

507
00:26:22,240 --> 00:26:24,960
Speaker 2: Miles where I was like, I just saw this TikTok. Oh. Yeah.

508
00:26:25,119 --> 00:26:29,240
Speaker 2: I was interviewing people at an Arizona State Fair and

509
00:26:29,440 --> 00:26:32,280
Speaker 2: everyone was saying Trump, We're fucked.

510
00:26:32,520 --> 00:26:39,439
Speaker 1: I know, like, come on, it's over, men, Oh my god,

511
00:26:39,800 --> 00:26:44,440
Speaker 1: it's fucked. So Laura Trump was recently on Laura Ingram Show,

512
00:26:45,000 --> 00:26:47,080
Speaker 1: and if you know Lara Trump, she is the wife

513
00:26:47,160 --> 00:26:51,200
Speaker 1: of Eric the Lesser, and she also got her hands

514
00:26:51,240 --> 00:26:53,639
Speaker 1: dirty with a bit of anecdotal forecasting. And I just

515
00:26:53,680 --> 00:26:56,240
Speaker 1: want to play this because this is a very this again.

516
00:26:56,960 --> 00:27:01,560
Speaker 1: Oh man, hold on to your butts. If true, it's over.

517
00:27:01,960 --> 00:27:06,080
Speaker 1: If true, pack your bag your escape plan. Yeah, please

518
00:27:06,160 --> 00:27:08,000
Speaker 1: pack your bags up for Canadia.

519
00:27:08,200 --> 00:27:11,200
Speaker 2: If true. So here she is talking about the secret

520
00:27:11,280 --> 00:27:14,800
Speaker 2: sauce and the tea leaves she's been reading out there

521
00:27:14,800 --> 00:27:15,560
Speaker 2: in America.

522
00:27:16,119 --> 00:27:19,439
Speaker 8: No one buys that Kamala Harris has the capability to

523
00:27:19,560 --> 00:27:22,560
Speaker 8: do that job. And polls like that I think are

524
00:27:22,600 --> 00:27:26,199
Speaker 8: absolutely ridiculous. I get slipped beverage napkins every time I

525
00:27:26,200 --> 00:27:28,920
Speaker 8: get on an airplane saying we can't wait to vote

526
00:27:28,960 --> 00:27:31,280
Speaker 8: for Trump. Go Trump Trump twenty twenty four, or people

527
00:27:31,359 --> 00:27:33,840
Speaker 8: just coming up to me these days were everywhere I

528
00:27:33,880 --> 00:27:36,240
Speaker 8: go saying how excited they are to get out and

529
00:27:36,320 --> 00:27:39,439
Speaker 8: vote and vote early when you go vote for Donald Trump?

530
00:27:39,800 --> 00:27:45,040
Speaker 2: Oh wow, wow wow. Every time she boards a plane

531
00:27:46,320 --> 00:27:51,080
Speaker 2: or sliding her airplane napkins just before they put the

532
00:27:51,160 --> 00:27:52,800
Speaker 2: beverage on top of it.

533
00:27:53,080 --> 00:28:00,400
Speaker 4: Here's where the story falls apart. Yeah, nobody carries pens anymore. No,

534
00:28:00,400 --> 00:28:03,040
Speaker 4: no one has the ability to write on your napkin anymore.

535
00:28:03,520 --> 00:28:06,679
Speaker 2: Why are they using the same communication method that people

536
00:28:06,720 --> 00:28:10,399
Speaker 2: who are being held hostage used to alert authorities that

537
00:28:11,760 --> 00:28:17,439
Speaker 2: like a refill? Help me? Also, every every plane you're on,

538
00:28:17,720 --> 00:28:22,520
Speaker 2: like maybe because maybe because you're flying on private planes

539
00:28:22,640 --> 00:28:26,800
Speaker 2: specifically chartered by the fucking campaign, Is that what you're

540
00:28:26,920 --> 00:28:29,639
Speaker 2: Are you flying commercial all the time? I don't know.

541
00:28:29,680 --> 00:28:32,040
Speaker 1: I'm just from what I understand, I believe that they're

542
00:28:32,040 --> 00:28:35,600
Speaker 1: flying on you know, campaign chartered aircraft but that's okay,

543
00:28:35,680 --> 00:28:37,879
Speaker 1: that works too, and it is it is wild to think.

544
00:28:37,920 --> 00:28:40,640
Speaker 1: It's like someone who would recognize you and would even

545
00:28:40,720 --> 00:28:43,400
Speaker 1: want to get near you in public would also be

546
00:28:43,440 --> 00:28:45,840
Speaker 1: a Republican, right, and.

547
00:28:45,760 --> 00:28:48,560
Speaker 4: That you would let anyone get near you in public?

548
00:28:48,600 --> 00:28:50,800
Speaker 2: That I also yeah, yeah, right right right?

549
00:28:51,080 --> 00:28:53,800
Speaker 4: Hell did you ever? Are you guys? Nathan? For you fans?

550
00:28:54,120 --> 00:28:55,160
Speaker 2: Oh, I love it? Love it?

551
00:28:55,520 --> 00:28:59,760
Speaker 4: Can I figured because they like canon? But you know that,

552
00:29:00,080 --> 00:29:02,480
Speaker 4: so we're here engineers that whole story that he can

553
00:29:02,480 --> 00:29:05,120
Speaker 4: tell on late night shows. Yeah, yeah, yeah, so he's

554
00:29:05,160 --> 00:29:07,600
Speaker 4: not lying, Yeah, he's not lying, but he sets up

555
00:29:07,600 --> 00:29:10,720
Speaker 4: this elaborate things so that you can say it. I

556
00:29:10,720 --> 00:29:13,000
Speaker 4: feel like this is what they're doing. They're like hiring

557
00:29:13,080 --> 00:29:16,640
Speaker 4: people to give them napkins saying they're voting for Trump.

558
00:29:16,680 --> 00:29:19,160
Speaker 2: Can you imagine that scenario though too. She's like she

559
00:29:19,240 --> 00:29:21,400
Speaker 2: bored a plane. She's like, do you mind handing me

560
00:29:21,600 --> 00:29:25,880
Speaker 2: these napkins? Take my drink? Order? What? Just please hand

561
00:29:25,880 --> 00:29:28,880
Speaker 2: it to me. I'll give you five hundred bucks. Okay, right,

562
00:29:29,400 --> 00:29:33,040
Speaker 2: here's your napkin? Miss Oh wow? Oh do you see this?

563
00:29:33,160 --> 00:29:35,560
Speaker 2: It says we're voting early for Oh my god, bless

564
00:29:35,560 --> 00:29:41,000
Speaker 2: your heart. So that happened, and I'm not lying. Is

565
00:29:41,000 --> 00:29:44,760
Speaker 2: that a way that people communicate with each other, like sending,

566
00:29:45,040 --> 00:29:47,959
Speaker 2: like in a way that isn't unless they're like in

567
00:29:48,000 --> 00:29:52,600
Speaker 2: trouble of some sort. I mean that's like millennial gen X,

568
00:29:52,760 --> 00:29:57,040
Speaker 2: Like that's school note passing was obviously a thing, like

569
00:29:57,240 --> 00:30:00,360
Speaker 2: you know, you would write a long winded when you

570
00:30:00,360 --> 00:30:03,160
Speaker 2: would just communicate in notes in school and you would

571
00:30:03,200 --> 00:30:05,800
Speaker 2: fill out like a line sheet of paper front to

572
00:30:05,920 --> 00:30:08,000
Speaker 2: back with like the thing is, man like I know

573
00:30:08,040 --> 00:30:10,080
Speaker 2: you as I know you asked for a homecoming, but

574
00:30:10,200 --> 00:30:12,120
Speaker 2: like the thing is like we have something going before

575
00:30:12,120 --> 00:30:13,680
Speaker 2: you ask and like doing all this kind of weird

576
00:30:13,720 --> 00:30:17,200
Speaker 2: shit that feels like that. Do kids do that? Do

577
00:30:17,280 --> 00:30:19,440
Speaker 2: they do y'all? Do y'all pass notes? Still? Is that

578
00:30:19,520 --> 00:30:19,840
Speaker 2: a thing?

579
00:30:20,200 --> 00:30:22,640
Speaker 4: Like I don't know, I mean, are they on their

580
00:30:22,720 --> 00:30:24,120
Speaker 4: laptops and they can just.

581
00:30:24,360 --> 00:30:28,520
Speaker 2: Yeah, they just like electronically text each other. Do Yeah,

582
00:30:28,560 --> 00:30:30,560
Speaker 2: I'm revealing my age? Okay, thank you?

583
00:30:30,560 --> 00:30:34,240
Speaker 1: Pretty super producer Victor said, yeah, we texted, Okay, that's fine.

584
00:30:34,400 --> 00:30:37,640
Speaker 1: I was whatever that eleven Yeah when nine to eleven happened,

585
00:30:37,680 --> 00:30:41,840
Speaker 1: I was a junior in high school. Okay, so hold that, Yeah,

586
00:30:41,880 --> 00:30:43,960
Speaker 1: that that makes sense that makes sense. But yeah, the

587
00:30:44,320 --> 00:30:47,719
Speaker 1: pen thing too, I mean, I guess you might have

588
00:30:47,760 --> 00:30:50,480
Speaker 1: a pen. I'm always like forgetting to pack a pen.

589
00:30:50,880 --> 00:30:52,480
Speaker 1: Whenever I travel, I always try to make sure have

590
00:30:52,560 --> 00:30:52,840
Speaker 1: a pen.

591
00:30:53,120 --> 00:30:56,600
Speaker 2: And it's international flights, I've like not had a pen

592
00:30:56,840 --> 00:31:00,840
Speaker 2: and the flight attendance like don't have pens when you

593
00:31:00,880 --> 00:31:02,720
Speaker 2: have to like fill out that form, Like.

594
00:31:04,200 --> 00:31:06,880
Speaker 1: Right, they probably because they probably get stolen all the time.

595
00:31:06,880 --> 00:31:08,840
Speaker 1: They're like, yeah, man, these motherfuckers stole on my pens.

596
00:31:08,880 --> 00:31:11,240
Speaker 2: What are you gonna do? But again, anyone who recognizes

597
00:31:11,280 --> 00:31:16,680
Speaker 2: her is probably like a fucking mont Blanc wielding Republican

598
00:31:17,160 --> 00:31:20,160
Speaker 2: piece of shit who's you know. I can imagine that

599
00:31:20,280 --> 00:31:25,160
Speaker 2: like one person per flight is on board. It is

600
00:31:25,680 --> 00:31:27,720
Speaker 2: still kind of mind blowing. We'll get into this in

601
00:31:27,800 --> 00:31:31,560
Speaker 2: like the political donations section. Well let's just move on

602
00:31:31,640 --> 00:31:35,400
Speaker 2: to that. But it's wild, like one of the melon

603
00:31:36,000 --> 00:31:40,600
Speaker 2: people is like full boat one hundred million dollar donation

604
00:31:40,800 --> 00:31:44,040
Speaker 2: to Trump like that, it does seem like the rich

605
00:31:44,120 --> 00:31:48,040
Speaker 2: have just openly declared war on all of us at

606
00:31:48,080 --> 00:31:51,080
Speaker 2: this d Yeah, they're really the fucking worst.

607
00:31:51,160 --> 00:31:53,800
Speaker 1: It's because they started moving at light speed during the

608
00:31:53,880 --> 00:31:57,840
Speaker 1: pandemic with all that wealth, accumulation and now they're like, well,

609
00:31:57,920 --> 00:32:00,800
Speaker 1: this party can't do not pump them breaks on this thing.

610
00:32:00,880 --> 00:32:03,520
Speaker 1: I'm sorry, Like, you know what, what was it, like

611
00:32:03,560 --> 00:32:05,560
Speaker 1: it went up eighty eight percent or something?

612
00:32:05,600 --> 00:32:08,240
Speaker 2: Their wealth we talked about some just eighty eight percent.

613
00:32:08,400 --> 00:32:11,200
Speaker 2: The yeah, billionaire wealth went up eighty eight percent in

614
00:32:11,240 --> 00:32:15,920
Speaker 2: the past four years. Like hosts, everybody being like, this

615
00:32:16,000 --> 00:32:19,760
Speaker 2: is this is an unbelievably huge problem. They have way

616
00:32:19,800 --> 00:32:23,120
Speaker 2: too much money. Their wealth has gone up eighty eight percent. Yeah,

617
00:32:23,160 --> 00:32:24,760
Speaker 2: they've just gotten Yeah, but.

618
00:32:25,040 --> 00:32:28,000
Speaker 1: So like along with this, like right, huge amounts of

619
00:32:28,000 --> 00:32:32,680
Speaker 1: money affecting political outcomes. Right now, Senate races are tightening

620
00:32:32,720 --> 00:32:36,120
Speaker 1: in Wisconsin, Michigan, and Ohio. And if things go the

621
00:32:36,160 --> 00:32:39,320
Speaker 1: wrong way, uh, this would potentially give the Republicans a

622
00:32:39,320 --> 00:32:41,760
Speaker 1: majority in the Senate they haven't had since twenty sixteen.

623
00:32:42,200 --> 00:32:44,880
Speaker 1: And if Kamala ends up winning the White House, that

624
00:32:44,920 --> 00:32:48,200
Speaker 1: would be disastrous for any kind of confirmation process of

625
00:32:48,240 --> 00:32:51,520
Speaker 1: cabinet positions or judges, because at that point you don't

626
00:32:51,560 --> 00:32:54,120
Speaker 1: really have control over it in terms of a Republican

627
00:32:54,720 --> 00:32:55,680
Speaker 1: enter cabinet though, So.

628
00:32:56,040 --> 00:32:58,960
Speaker 4: Yeah, say, what do you think about that? I don't

629
00:32:59,000 --> 00:32:59,960
Speaker 4: think anything good.

630
00:33:00,520 --> 00:33:07,200
Speaker 2: I fucking hate it. Blowing it so hard, don't right crazy.

631
00:33:07,680 --> 00:33:10,959
Speaker 4: I was so cocon utpilled like back in the summer,

632
00:33:11,000 --> 00:33:13,080
Speaker 4: and now I'm just like, oh my god, please let

633
00:33:13,160 --> 00:33:14,960
Speaker 4: this be overkilled.

634
00:33:15,080 --> 00:33:16,000
Speaker 2: Look it was.

635
00:33:16,120 --> 00:33:18,240
Speaker 1: It was a brat summer and now we're in the

636
00:33:18,320 --> 00:33:22,680
Speaker 1: hangover fall and we're moving to the right in.

637
00:33:22,640 --> 00:33:25,360
Speaker 4: Every rapidly, rapidly moving to the right.

638
00:33:25,680 --> 00:33:31,160
Speaker 2: Just purely listening to the same Democratic strategists who have

639
00:33:31,520 --> 00:33:37,200
Speaker 2: fucked the Democratic Party for the past, you know, don't

640
00:33:37,200 --> 00:33:37,880
Speaker 2: get progressive.

641
00:33:39,400 --> 00:33:41,560
Speaker 4: And it's interesting because it's like, in the moment she

642
00:33:41,760 --> 00:33:44,600
Speaker 4: chose walls, it was like, and now I shall mess

643
00:33:44,640 --> 00:33:45,200
Speaker 4: everything up.

644
00:33:46,120 --> 00:33:52,640
Speaker 2: Everything else bad way, pretty good rollout, and yeah, I

645
00:33:52,760 --> 00:33:55,640
Speaker 2: will continue to this. So anyway one race, I think

646
00:33:55,640 --> 00:33:57,800
Speaker 2: that should be getting a lot of attention, and it is,

647
00:33:57,840 --> 00:33:59,800
Speaker 2: I think purely because of the Senate math. But the

648
00:34:00,280 --> 00:34:03,720
Speaker 2: I think is important is Shared Brown's reelection campaign in Ohio.

649
00:34:03,800 --> 00:34:06,360
Speaker 2: So he is the chair of the Senate Banking Committee,

650
00:34:06,480 --> 00:34:09,839
Speaker 2: and that's a very very powerful position when it comes

651
00:34:09,880 --> 00:34:12,320
Speaker 2: to the financial sector. And he's been a vocal critic

652
00:34:12,360 --> 00:34:15,279
Speaker 2: of crypto currencies and the need for regulation. And it

653
00:34:15,360 --> 00:34:18,279
Speaker 2: is for this very reason that a crypto pack is

654
00:34:18,320 --> 00:34:23,920
Speaker 2: spending forty million dollars to unseat him. Forty million dollars

655
00:34:23,960 --> 00:34:24,680
Speaker 2: to unseat him.

656
00:34:25,000 --> 00:34:28,239
Speaker 1: Fair shake, which is the industries like Crypto's super pack,

657
00:34:28,640 --> 00:34:32,240
Speaker 1: they have raised just over two hundred million dollars this cycle.

658
00:34:32,760 --> 00:34:38,040
Speaker 1: To put that into perspective, right, the next industry group

659
00:34:38,080 --> 00:34:40,760
Speaker 1: that comes in second place in terms of money raised,

660
00:34:40,840 --> 00:34:44,000
Speaker 1: that's coke industries, you know, we know them, the big government.

661
00:34:44,600 --> 00:34:49,280
Speaker 1: They've raised a paltry twenty six million dollars for this cycle,

662
00:34:49,800 --> 00:34:52,960
Speaker 1: and we're talking one hundred hundred from million from Crypto.

663
00:34:53,440 --> 00:34:56,200
Speaker 1: And it's right now, Crypto is accounting for almost half

664
00:34:56,239 --> 00:34:59,920
Speaker 1: of the corporate spending this election cycle. So they're tactic

665
00:35:00,480 --> 00:35:03,319
Speaker 1: are just to carpet bomb the airwaves with ads. But

666
00:35:03,440 --> 00:35:06,359
Speaker 1: in some races, like in Shared Brown's race, like it's

667
00:35:06,400 --> 00:35:09,960
Speaker 1: just NonStop ads and they have nothing to do with Crypto.

668
00:35:10,040 --> 00:35:13,600
Speaker 1: It's just they're just helping Marino, his opponent. They're just

669
00:35:13,600 --> 00:35:15,520
Speaker 1: trying to help him win as much as possible. So

670
00:35:16,480 --> 00:35:19,200
Speaker 1: aside from the airwaves stuff, sometimes they don't even have

671
00:35:19,280 --> 00:35:22,080
Speaker 1: to spend money to get people to bend to their will.

672
00:35:22,120 --> 00:35:24,799
Speaker 1: They'll just threaten to make it rain on a politician's

673
00:35:24,800 --> 00:35:27,680
Speaker 1: opponent to get them in line. So the earlier this

674
00:35:27,719 --> 00:35:30,160
Speaker 1: is from Slate quote. Earlier this year, Fairshake indicated it

675
00:35:30,160 --> 00:35:33,279
Speaker 1: would enter the spending arena without announcing which candidate it

676
00:35:33,280 --> 00:35:36,000
Speaker 1: would support. Soon after. This is like the in the

677
00:35:36,000 --> 00:35:39,640
Speaker 1: Montana race. Soon after, vulnerable incumbent Democrat John Tester, who

678
00:35:39,680 --> 00:35:42,479
Speaker 1: has criticized the industry in the past, voted to pass

679
00:35:42,560 --> 00:35:46,239
Speaker 1: pro crypto legislation. So their big pet project here is

680
00:35:46,280 --> 00:35:49,440
Speaker 1: to try and get this crypto friendly legislation passed that

681
00:35:49,480 --> 00:35:51,719
Speaker 1: would in order to sort of gain legitimacy as a

682
00:35:51,719 --> 00:35:55,120
Speaker 1: financial product and escape the oversight authority of the SEC.

683
00:35:55,760 --> 00:35:58,640
Speaker 1: And this is again from the same Slight article. In

684
00:35:58,719 --> 00:36:01,400
Speaker 1: forty two of the primary races where crypto backed super

685
00:36:01,440 --> 00:36:04,480
Speaker 1: PACs intervened, the crypto sector one it's preferred outcome in

686
00:36:04,640 --> 00:36:08,960
Speaker 1: thirty six, in just two cycles of spending, crypto corporations

687
00:36:09,000 --> 00:36:12,239
Speaker 1: now ranked second in total election related spending and in

688
00:36:12,280 --> 00:36:15,759
Speaker 1: the over the past fourteen years the entirety of the

689
00:36:15,800 --> 00:36:21,000
Speaker 1: Citizens United Era. Okay, they've be just two cycles. It

690
00:36:21,000 --> 00:36:23,680
Speaker 1: took them to fucking hit like just to get to

691
00:36:23,800 --> 00:36:28,239
Speaker 1: second place. They quote they trail only fossil fuel corporations,

692
00:36:28,280 --> 00:36:30,719
Speaker 1: which have spent one hundred and seventy six million over

693
00:36:30,760 --> 00:36:33,920
Speaker 1: that same period. And it's not just Republicans that are benefiting.

694
00:36:33,960 --> 00:36:37,440
Speaker 2: Democrats are also getting hit with cash in other races.

695
00:36:37,560 --> 00:36:40,960
Speaker 1: If they've been friendly towards these kinds of bills, then

696
00:36:41,080 --> 00:36:44,200
Speaker 1: they are being rewarded with financial support. But it's clear

697
00:36:44,239 --> 00:36:46,560
Speaker 1: that Republicans are much more willing to help here, so

698
00:36:46,640 --> 00:36:49,560
Speaker 1: therefore they're getting a larger share of these dollars.

699
00:36:50,440 --> 00:36:53,040
Speaker 2: Yeah, it's just all the future is so yeah, Like,

700
00:36:53,080 --> 00:36:55,440
Speaker 2: if you want to see what the industry, what industries

701
00:36:55,480 --> 00:36:59,840
Speaker 2: are going to run slash ruin the future, you just

702
00:37:00,080 --> 00:37:02,520
Speaker 2: have to look at who is donating the most across

703
00:37:02,560 --> 00:37:07,240
Speaker 2: the board, and the future is going to be so stupid.

704
00:37:07,560 --> 00:37:12,600
Speaker 4: Like crypto, I just can't understand it. And at times

705
00:37:12,640 --> 00:37:15,880
Speaker 4: I'm like, am I just like too old or or

706
00:37:16,239 --> 00:37:20,480
Speaker 4: are stupid to just understand what the appeal of crypto is?

707
00:37:20,920 --> 00:37:23,200
Speaker 4: But what if maybe I'm not and it just doesn't

708
00:37:23,200 --> 00:37:24,200
Speaker 4: really make much sense.

709
00:37:24,840 --> 00:37:27,120
Speaker 1: Yeah, I mean, I think for those in the beginning,

710
00:37:27,160 --> 00:37:29,239
Speaker 1: it was very idealistic. We're it's sort of like, you know,

711
00:37:29,360 --> 00:37:32,640
Speaker 1: this is a decentralized form of currency that can operate

712
00:37:32,719 --> 00:37:35,160
Speaker 1: outside of these you know, like the World Bank and

713
00:37:35,200 --> 00:37:39,080
Speaker 1: these forces of corruptive forces. And now if they're just

714
00:37:39,120 --> 00:37:43,360
Speaker 1: becoming centralized entities, it's yeah, so that's gone.

715
00:37:43,480 --> 00:37:45,919
Speaker 4: But I think the other they're still being influenced by,

716
00:37:46,040 --> 00:37:49,160
Speaker 4: like the greater markets right right, and go up and

717
00:37:49,200 --> 00:37:50,160
Speaker 4: down and up and down.

718
00:37:50,200 --> 00:37:52,520
Speaker 1: And I think what's interesting here though, too, is because

719
00:37:52,960 --> 00:37:55,919
Speaker 1: a lot of people have made money in cryptocurrencies, it's

720
00:37:56,040 --> 00:37:57,719
Speaker 1: more people are trying to get in on it, and

721
00:37:57,760 --> 00:38:01,080
Speaker 1: now they see it as a way to protect their investor.

722
00:38:01,120 --> 00:38:05,000
Speaker 1: It's an investment. So now they're now motivated to also vote. Like,

723
00:38:05,400 --> 00:38:06,960
Speaker 1: let me just play an ad. There's like a thing

724
00:38:07,000 --> 00:38:10,080
Speaker 1: where they're there. They have like things like I'm a

725
00:38:10,160 --> 00:38:13,799
Speaker 1: crypto voter, and that's kind of I'll just play this

726
00:38:13,920 --> 00:38:16,240
Speaker 1: so you could understand. This is kind of the messaging

727
00:38:16,280 --> 00:38:18,759
Speaker 1: to people to understand, to say, like, we also have

728
00:38:18,880 --> 00:38:21,319
Speaker 1: numbers out there, and this is how we can sort

729
00:38:21,320 --> 00:38:23,640
Speaker 1: of get them. We can turn that into votes in

730
00:38:23,680 --> 00:38:24,120
Speaker 1: an election.

731
00:38:24,840 --> 00:38:27,600
Speaker 9: To be an American is to embrace the innovation. And

732
00:38:27,680 --> 00:38:31,560
Speaker 9: that's where blockchain and crypto come into play. Crypto equals innovation,

733
00:38:31,840 --> 00:38:35,799
Speaker 9: innovation equals jobs. That's why I'm a crypto voter. Don't

734
00:38:35,880 --> 00:38:39,120
Speaker 9: let anyone else decide your future. Make a plan to vote.

735
00:38:39,719 --> 00:38:43,200
Speaker 1: That's from stand with crypto, which is another pack. But

736
00:38:43,320 --> 00:38:45,520
Speaker 1: again and you and you see this with people that

737
00:38:45,560 --> 00:38:49,160
Speaker 1: are invested in cryptocurrencies, to get this sort of legitimacy

738
00:38:49,320 --> 00:38:52,000
Speaker 1: as a financial product would be huge for their investments.

739
00:38:52,080 --> 00:38:54,759
Speaker 1: So now people are incentivized with their own investments to

740
00:38:54,960 --> 00:38:58,200
Speaker 1: voter sor so it's it's a huge thing. That's why

741
00:38:58,280 --> 00:39:01,040
Speaker 1: I think big tech is realizing they have a lot

742
00:39:01,160 --> 00:39:04,359
Speaker 1: of numbers for people that are invested in their platforms

743
00:39:04,440 --> 00:39:06,960
Speaker 1: or use their platforms that then they can you know,

744
00:39:07,120 --> 00:39:10,719
Speaker 1: turn that into a formidable voting block. And yeah, the

745
00:39:10,800 --> 00:39:14,160
Speaker 1: money being spent is just like will cause it would

746
00:39:14,160 --> 00:39:17,600
Speaker 1: cause people's eyes to bleed twenty years ago even because yeah,

747
00:39:17,600 --> 00:39:18,759
Speaker 1: a lot of people are like looking at it, like

748
00:39:18,840 --> 00:39:21,840
Speaker 1: I've never seen people just put this much money towards

749
00:39:21,840 --> 00:39:25,040
Speaker 1: just getting one bill passed. And you know, the like

750
00:39:25,040 --> 00:39:27,280
Speaker 1: to your point, Jack, you can see that other industries

751
00:39:27,320 --> 00:39:29,719
Speaker 1: are looking at im like, oh, you know, we used

752
00:39:29,719 --> 00:39:32,359
Speaker 1: to just keep like friendly politicians there and give them

753
00:39:32,400 --> 00:39:34,560
Speaker 1: sort of bills that they can vote on or whatever.

754
00:39:34,600 --> 00:39:37,040
Speaker 1: But now just to go whole hog to say we

755
00:39:37,080 --> 00:39:39,560
Speaker 1: need to get this one thing done and make everyone

756
00:39:39,600 --> 00:39:42,239
Speaker 1: bend to our will just may become even more so

757
00:39:42,320 --> 00:39:43,719
Speaker 1: than new normal. I think it was just happening at

758
00:39:43,760 --> 00:39:45,360
Speaker 1: a smaller rate than what we're seeing.

759
00:39:45,440 --> 00:39:50,840
Speaker 2: Yeah, and now with Citizens United, it's just open robbery.

760
00:39:50,880 --> 00:39:53,439
Speaker 1: Right, And I think another reason why people are always calling

761
00:39:53,480 --> 00:39:55,520
Speaker 1: for election reforms with this kind of thing, because Yeah,

762
00:39:55,560 --> 00:39:57,480
Speaker 1: it allows someone to just step in and say, I

763
00:39:57,520 --> 00:40:00,880
Speaker 1: will spend forty million dollars to get to scare you.

764
00:40:01,239 --> 00:40:04,200
Speaker 1: Are you ready to now play ball? And yeah, and

765
00:40:04,400 --> 00:40:05,959
Speaker 1: it again seems to work.

766
00:40:06,600 --> 00:40:10,520
Speaker 2: Yeah. Open Secrets did a dive into like who is

767
00:40:10,640 --> 00:40:15,719
Speaker 2: donating to the Republicans and Democrats this time around? And

768
00:40:16,160 --> 00:40:20,440
Speaker 2: like I said, one of the melon psions is donating

769
00:40:20,560 --> 00:40:23,839
Speaker 2: one hundred million dollars to Trump the which, by the way,

770
00:40:23,960 --> 00:40:26,359
Speaker 2: like that that is a great example of like a

771
00:40:26,400 --> 00:40:29,800
Speaker 2: thing where if you look at how money is being spent,

772
00:40:30,000 --> 00:40:33,799
Speaker 2: you can see the future, Like the money that was

773
00:40:33,840 --> 00:40:38,640
Speaker 2: spent by these dynastics, like these families with dynastic fortunes

774
00:40:38,719 --> 00:40:41,960
Speaker 2: like the Melons and the Getty's and all those people.

775
00:40:42,160 --> 00:40:44,680
Speaker 2: Like since the late seventies, they've just been spending, spending,

776
00:40:44,680 --> 00:40:49,839
Speaker 2: spending in politics, and the rate of that those types

777
00:40:49,840 --> 00:40:54,520
Speaker 2: of people have been taxed has gone way way down

778
00:40:54,960 --> 00:40:58,520
Speaker 2: to like now, the average tax rate of the top

779
00:40:58,560 --> 00:41:01,640
Speaker 2: point zero one percent has fallen by more than half

780
00:41:01,800 --> 00:41:05,320
Speaker 2: to about thirty percent, while rates for the bottom ninety

781
00:41:05,360 --> 00:41:11,600
Speaker 2: percent of people have climbed slightly. So they are getting

782
00:41:11,600 --> 00:41:14,280
Speaker 2: better and better deals and the rest of the world

783
00:41:14,600 --> 00:41:19,040
Speaker 2: is getting fucked, and so that it makes sense that

784
00:41:19,040 --> 00:41:23,239
Speaker 2: that these people are continuing to spend and get trying

785
00:41:23,239 --> 00:41:25,640
Speaker 2: to it's an investment that actually gets you in return.

786
00:41:26,440 --> 00:41:29,719
Speaker 4: Yeah, I just I can't even imagine the need for

787
00:41:29,840 --> 00:41:33,840
Speaker 4: like more than one hundred million dollars, right, there is none.

788
00:41:34,280 --> 00:41:37,040
Speaker 4: Like I'm like, I'm not above a hundred million dollars.

789
00:41:37,080 --> 00:41:39,240
Speaker 4: I'd love it, I welcome it, But at that point

790
00:41:39,320 --> 00:41:41,800
Speaker 4: it's like, okay, cool, Yeah.

791
00:41:41,600 --> 00:41:43,400
Speaker 2: You won't hear from me anymore.

792
00:41:43,560 --> 00:41:45,280
Speaker 4: I'm fine, right, I'm chilling.

793
00:41:45,840 --> 00:41:46,560
Speaker 2: Yeah, I will.

794
00:41:46,480 --> 00:41:49,560
Speaker 1: Lay down for a long time. That's that's probably what

795
00:41:49,600 --> 00:41:51,600
Speaker 1: I'll do. Yeah, I mean, I think that's why it's

796
00:41:51,600 --> 00:41:54,279
Speaker 1: always just you know, like when you get like these

797
00:41:54,320 --> 00:41:58,160
Speaker 1: billions of dollars in wealth, you're just like this, there's

798
00:41:58,400 --> 00:42:00,920
Speaker 1: this isn't sustainable because if it's all about this like

799
00:42:01,000 --> 00:42:05,239
Speaker 1: explosive growth that that that comes from somewhere else, that

800
00:42:05,280 --> 00:42:08,040
Speaker 1: comes out of other people's pockets, or rather the inability

801
00:42:08,040 --> 00:42:10,879
Speaker 1: of other people to fill their own, you know, bank

802
00:42:10,880 --> 00:42:12,959
Speaker 1: accounts with actual money that is needed.

803
00:42:13,600 --> 00:42:16,160
Speaker 4: So I feel like that's the disconnect is people are like, well,

804
00:42:16,160 --> 00:42:18,200
Speaker 4: why shouldn't people be allowed to make a lot of money,

805
00:42:18,200 --> 00:42:19,919
Speaker 4: And it's like, well, they are, but there's no way

806
00:42:19,960 --> 00:42:22,680
Speaker 4: to make that much money and have been ethical throughout

807
00:42:22,719 --> 00:42:25,640
Speaker 4: the whole process and have like, had every single person

808
00:42:25,719 --> 00:42:28,000
Speaker 4: working for you been paid fairly and you still have

809
00:42:28,080 --> 00:42:28,800
Speaker 4: that much money.

810
00:42:29,040 --> 00:42:32,440
Speaker 2: Yeah, exactly. And it's just a Lena Gomez and she

811
00:42:32,480 --> 00:42:34,120
Speaker 2: doesn't want to talk about being a billionaire. That's just

812
00:42:34,120 --> 00:42:36,000
Speaker 2: still so funny to me. She's like, I'd rather not

813
00:42:36,040 --> 00:42:38,440
Speaker 2: talk about money and being a billionaire. Please just.

814
00:42:41,480 --> 00:42:43,399
Speaker 4: Give it away and then you won't have to talk

815
00:42:43,400 --> 00:42:43,759
Speaker 4: about it.

816
00:42:44,040 --> 00:42:49,480
Speaker 2: That's the nine hundred million dollars of it, and we'd

817
00:42:49,480 --> 00:42:52,560
Speaker 2: be fine with you. The good will these fuckers would

818
00:42:52,640 --> 00:42:56,360
Speaker 2: generate from just being like, you know what, dude, I

819
00:42:56,440 --> 00:42:59,080
Speaker 2: only need Like I fuck, I don't even mean like

820
00:42:59,080 --> 00:43:01,120
Speaker 2: I think I just need eighty million for the rest

821
00:43:01,120 --> 00:43:01,680
Speaker 2: of my life.

822
00:43:01,719 --> 00:43:04,400
Speaker 1: I'm seventy years old. I think I'll be fine with

823
00:43:04,560 --> 00:43:06,799
Speaker 1: eighty million dollars for the rest of it. I'm giving

824
00:43:06,840 --> 00:43:09,920
Speaker 1: the rest away. The people would be erecting fucking statues,

825
00:43:10,160 --> 00:43:12,359
Speaker 1: yeah for that kind of thing. But no, it's more

826
00:43:12,480 --> 00:43:14,440
Speaker 1: just like how do we protect this, how do we

827
00:43:14,480 --> 00:43:17,440
Speaker 1: create more loopholes to keep our wealth? And how do

828
00:43:17,480 --> 00:43:21,280
Speaker 1: we again cozy up to people that are fine watching

829
00:43:21,280 --> 00:43:23,600
Speaker 1: everything fall apart, but hey, we get to keep our money.

830
00:43:23,800 --> 00:43:27,719
Speaker 2: Like Open Secrets has like the just these industry breakdowns

831
00:43:28,000 --> 00:43:32,440
Speaker 2: and like air transport donated ten point five million dollars

832
00:43:32,520 --> 00:43:35,080
Speaker 2: to Trump, like real estate ten point four million. But

833
00:43:35,400 --> 00:43:38,719
Speaker 2: I just like I can't, I can't believe that it's

834
00:43:38,840 --> 00:43:42,239
Speaker 2: now just like is Delta Airlines? Like I didn't dig

835
00:43:42,280 --> 00:43:45,520
Speaker 2: in deeper, but like, are these like major corporations just

836
00:43:45,520 --> 00:43:47,160
Speaker 2: like donating. Yeah, that's like Boeing.

837
00:43:47,640 --> 00:43:50,680
Speaker 1: Boeing is the large like in that category. Because then

838
00:43:50,920 --> 00:43:54,399
Speaker 1: within transport there's air transport, there's also airlines, which would

839
00:43:54,440 --> 00:43:57,000
Speaker 1: be like the Deltas of it all, but they also

840
00:43:57,120 --> 00:44:01,800
Speaker 1: give money. Yeah, like ups, they they're all I mean, because.

841
00:44:01,560 --> 00:44:02,600
Speaker 2: That's just how it is.

842
00:44:02,680 --> 00:44:05,319
Speaker 1: You have to you have to get in bed so

843
00:44:05,520 --> 00:44:09,040
Speaker 1: you can get favorable looks when it comes to regulation

844
00:44:09,280 --> 00:44:10,040
Speaker 1: or you know, not.

845
00:44:10,120 --> 00:44:13,520
Speaker 2: Regulating, even when one of them one of the options

846
00:44:13,600 --> 00:44:17,280
Speaker 2: is just like Nazis. They're just like, no, well, a delta.

847
00:44:17,400 --> 00:44:21,840
Speaker 2: We believe in everybody gouging. Yeah, yeah, I believe in

848
00:44:21,880 --> 00:44:26,360
Speaker 2: both price gouging and everybody having a free the freedom

849
00:44:26,440 --> 00:44:30,720
Speaker 2: to express their beliefs. Exactly. It's a corporate kleptocracy.

850
00:44:31,120 --> 00:44:34,040
Speaker 4: Yeah, well, what's happening with Milton Like the fact that

851
00:44:34,080 --> 00:44:37,360
Speaker 4: these airlines are literally raising their prices so that people

852
00:44:37,400 --> 00:44:40,280
Speaker 4: cannot die, and like the government is just like, okay,

853
00:44:40,320 --> 00:44:42,319
Speaker 4: no problem, that's capitalism.

854
00:44:41,760 --> 00:44:43,440
Speaker 2: Baby, Yeah, that's capitalism.

855
00:44:43,840 --> 00:44:45,120
Speaker 4: I'm hoping that they have the.

856
00:44:45,080 --> 00:44:49,480
Speaker 2: Freedom to evacuate and we have the freedom to get rich, right, Just.

857
00:44:49,440 --> 00:44:51,160
Speaker 4: Like, at what point will people be like, huh, this

858
00:44:51,200 --> 00:44:53,600
Speaker 4: doesn't make sense, maybe we should change this.

859
00:44:54,160 --> 00:44:56,640
Speaker 1: Well, I think that's where I think people know it

860
00:44:56,680 --> 00:44:59,520
Speaker 1: doesn't make sense. But enough people who have who have

861
00:44:59,640 --> 00:45:02,959
Speaker 1: like the microphones to sort of shape public discourse, they're

862
00:45:03,000 --> 00:45:05,719
Speaker 1: not saying it right. Like the American Prospect I think

863
00:45:05,760 --> 00:45:08,359
Speaker 1: reached out to a couple of the economists who are

864
00:45:08,360 --> 00:45:11,160
Speaker 1: like slamming Kamala Harris because she deigned to say, like,

865
00:45:11,280 --> 00:45:13,840
Speaker 1: it's corporate price gouging that's driving up prices.

866
00:45:13,880 --> 00:45:15,000
Speaker 2: We need to get a handle on that.

867
00:45:15,440 --> 00:45:18,480
Speaker 1: They asked them, like the in light of what's what

868
00:45:18,640 --> 00:45:21,520
Speaker 1: happened in the aftermath of Hellene and with Milton and

869
00:45:21,560 --> 00:45:24,279
Speaker 1: price gouging happening, They're like, do you think that this

870
00:45:24,520 --> 00:45:24,919
Speaker 1: is bad?

871
00:45:25,040 --> 00:45:28,120
Speaker 2: Now? Like is do you think this necessitates some kind

872
00:45:28,120 --> 00:45:30,919
Speaker 2: of intervention? And they kind of were like, well, I mean,

873
00:45:31,040 --> 00:45:32,160
Speaker 2: you know, kind of like.

874
00:45:32,120 --> 00:45:35,880
Speaker 1: They just were not very forceful on it, which, you know,

875
00:45:35,920 --> 00:45:39,640
Speaker 1: I think is pretty revealing because, like the their whole

876
00:45:39,680 --> 00:45:42,799
Speaker 1: perspective is sort of aligning with what a corporation would

877
00:45:42,840 --> 00:45:44,400
Speaker 1: want to do, or you know, what the free market

878
00:45:44,440 --> 00:45:45,040
Speaker 1: should be doing.

879
00:45:45,440 --> 00:45:48,719
Speaker 2: Yeah, all right, let's take a quick break and we'll

880
00:45:48,760 --> 00:45:52,600
Speaker 2: come back and we'll do our we'll do the sports section,

881
00:45:52,800 --> 00:45:55,720
Speaker 2: We'll go to our sports guy for some sports updates.

882
00:45:55,760 --> 00:46:10,799
Speaker 2: We'll be right back, and we'ren't back. We're back, and hey,

883
00:46:10,800 --> 00:46:16,080
Speaker 2: here's a fun story. Wimbledon is announcing that they're breaking

884
00:46:16,120 --> 00:46:18,280
Speaker 2: with one hundred and forty seven years of tradition.

885
00:46:18,600 --> 00:46:22,520
Speaker 1: Stop there. I love that, I love it, I love

886
00:46:23,120 --> 00:46:26,000
Speaker 1: anyone going. We're breaking with one hundred and forty seven

887
00:46:26,080 --> 00:46:28,880
Speaker 1: years of what could it be? No more strawberries and

888
00:46:28,880 --> 00:46:29,560
Speaker 1: cream being.

889
00:46:29,560 --> 00:46:32,520
Speaker 2: No more strawberries and cream. They're now playing on sand

890
00:46:32,600 --> 00:46:39,040
Speaker 2: instead of grass. There they're scrapping the human line judges

891
00:46:39,360 --> 00:46:45,080
Speaker 2: in favor of an electronic system that's powered by artificial intelligence.

892
00:46:45,239 --> 00:46:49,319
Speaker 2: Well yeah, okay, in many ways, I do think this

893
00:46:49,520 --> 00:46:51,279
Speaker 2: is like one of the things that we should be

894
00:46:51,360 --> 00:46:56,200
Speaker 2: using AI for is like a scientific thing that determined

895
00:46:56,320 --> 00:46:59,560
Speaker 2: that just like tells you a piece of information. It's like, yes,

896
00:46:59,600 --> 00:47:03,520
Speaker 2: if meta needs to use AI to like better diagnose

897
00:47:03,920 --> 00:47:08,360
Speaker 2: different maladies, please by all means to decode protein shapes,

898
00:47:08,480 --> 00:47:11,560
Speaker 2: like yes, great, to like tell if a ball went

899
00:47:11,640 --> 00:47:14,960
Speaker 2: in or not? What could go? Fine?

900
00:47:15,440 --> 00:47:19,120
Speaker 1: Fine, yeah, versus some like racist guy who's like I

901
00:47:19,120 --> 00:47:22,320
Speaker 1: don't know if that did that did happen?

902
00:47:22,560 --> 00:47:26,920
Speaker 2: So that whole hawkeye thing, which is like where in

903
00:47:27,520 --> 00:47:32,520
Speaker 2: you know, professional tennis players can basically challenge a call

904
00:47:32,640 --> 00:47:34,880
Speaker 2: made by the line judge and then they go to

905
00:47:34,920 --> 00:47:38,120
Speaker 2: this thing called hawky God. Hawks are having such a

906
00:47:38,120 --> 00:47:42,879
Speaker 2: moment right now, yea to hawk. They're they're killing it the.

907
00:47:42,840 --> 00:47:45,759
Speaker 4: Atlanta Hawks for the Atlanta Hawks this year.

908
00:47:47,000 --> 00:47:53,680
Speaker 2: Yeah. Yeah, those two things are big though. But and

909
00:47:53,719 --> 00:47:55,880
Speaker 2: then like it tells you if it's in or not.

910
00:47:56,400 --> 00:47:59,040
Speaker 2: That that's that's like what that feels like. Okay, that

911
00:47:59,200 --> 00:48:02,600
Speaker 2: is what computers should be used for. Of course, Wimbledon

912
00:48:02,760 --> 00:48:06,640
Speaker 2: has dabbled with AI in other ways in recent years,

913
00:48:06,920 --> 00:48:09,920
Speaker 2: and it hasn't always gone so well. They had an

914
00:48:09,920 --> 00:48:14,120
Speaker 2: AI online feature called catch Me Up that featured player

915
00:48:14,200 --> 00:48:18,000
Speaker 2: profiles that just like weren't correct. They were like this

916
00:48:18,200 --> 00:48:20,560
Speaker 2: young up and comer and it was like a thirty

917
00:48:20,600 --> 00:48:22,680
Speaker 2: six year old person on the like at the end

918
00:48:22,680 --> 00:48:24,799
Speaker 2: of their career and stuff is just you know, the

919
00:48:24,840 --> 00:48:27,719
Speaker 2: shit that AI is terrible at that companies insist on

920
00:48:28,360 --> 00:48:32,480
Speaker 2: using it for right, But yeah, they they first started

921
00:48:32,560 --> 00:48:37,080
Speaker 2: using Hawkey because there was this like controversy where like

922
00:48:37,160 --> 00:48:41,560
Speaker 2: early in Serena Williams's career, she was playing Jennifer Capriotti

923
00:48:41,800 --> 00:48:44,239
Speaker 2: and like this line judge just kept calling all of

924
00:48:44,280 --> 00:48:48,000
Speaker 2: Serena's shots out and people are like, huh, Like even

925
00:48:48,040 --> 00:48:50,560
Speaker 2: the even the TV people were like like, we can

926
00:48:51,200 --> 00:48:54,279
Speaker 2: see like from up here that that was the wrong call.

927
00:48:54,680 --> 00:48:57,960
Speaker 2: So eventually they started using computers. Great, how could this

928
00:48:58,040 --> 00:49:02,200
Speaker 2: go wrong? So The Verge pointed out that these electronic

929
00:49:02,640 --> 00:49:06,600
Speaker 2: these ELC systems don't just capture how the ball lands.

930
00:49:06,880 --> 00:49:11,239
Speaker 2: They record a ton of in depth information, including players movements,

931
00:49:11,600 --> 00:49:16,880
Speaker 2: and that data is incredibly valuable, not just to players,

932
00:49:17,360 --> 00:49:22,200
Speaker 2: but also to sports betting companies, so they actually make

933
00:49:22,440 --> 00:49:27,120
Speaker 2: more selling the data on like where how the ball

934
00:49:27,200 --> 00:49:30,040
Speaker 2: moves and where it lands and like how the players

935
00:49:30,120 --> 00:49:34,040
Speaker 2: move to betting companies. Then they make from TV rights.

936
00:49:34,800 --> 00:49:38,440
Speaker 1: Oh wow, wait, so what are they using the information for?

937
00:49:38,560 --> 00:49:43,840
Speaker 1: Exactly just like better hands? Yeah, to better handicap matches.

938
00:49:44,080 --> 00:49:46,759
Speaker 1: Like I didn't even know tennis betting was a thing,

939
00:49:47,280 --> 00:49:49,080
Speaker 1: but everything.

940
00:49:49,360 --> 00:49:54,320
Speaker 2: Yeah, yeah, I'm like Marble races and the pandemic, the lockdown,

941
00:49:54,320 --> 00:49:59,480
Speaker 2: early lockdowns, remember Russian Russian table tennis? Still Oh yeah,

942
00:49:59,520 --> 00:50:01,719
Speaker 2: this guy, Alison, I don't know if you know, there's

943
00:50:01,760 --> 00:50:03,840
Speaker 2: a player who got banned from the NBA for like

944
00:50:03,880 --> 00:50:07,280
Speaker 2: gambling on his own games, and like, in looking into

945
00:50:07,400 --> 00:50:10,120
Speaker 2: his history, they found that he was like taking huge

946
00:50:10,160 --> 00:50:13,040
Speaker 2: bets during the pandemic on Russian table tennis because it

947
00:50:13,080 --> 00:50:15,840
Speaker 2: was literally the only thing that people were still competing in.

948
00:50:16,040 --> 00:50:20,959
Speaker 4: You gotta get your fix somewhere. Yeah, I mean that's wild. Yeah,

949
00:50:21,000 --> 00:50:22,400
Speaker 4: that makes a lot of sense to me, because I

950
00:50:22,400 --> 00:50:24,960
Speaker 4: feel like Wimbledon in particular is like we do not change,

951
00:50:25,200 --> 00:50:27,960
Speaker 4: We just change. But then as soon as it's like

952
00:50:28,000 --> 00:50:31,239
Speaker 4: but you'll will make money with this specific change, Like absolutely,

953
00:50:31,280 --> 00:50:31,840
Speaker 4: we shall.

954
00:50:31,640 --> 00:50:35,040
Speaker 2: Do it, and yeah, and we will change. And it

955
00:50:35,080 --> 00:50:38,000
Speaker 2: turns out that thing we said before about not changing

956
00:50:38,719 --> 00:50:42,839
Speaker 2: that was like before, yeah, that was part of our change, right,

957
00:50:43,000 --> 00:50:44,399
Speaker 2: because that was like the other thing too.

958
00:50:44,400 --> 00:50:46,880
Speaker 1: It's like you have towards like you must wear white,

959
00:50:47,360 --> 00:50:50,080
Speaker 1: you know, like it was so strict like like there

960
00:50:50,160 --> 00:50:52,640
Speaker 1: is so yeah, there's so much so into like these

961
00:50:53,440 --> 00:50:57,040
Speaker 1: really you know, like just rigid rules and.

962
00:50:57,000 --> 00:50:59,680
Speaker 2: Things like that that they're like, oh, well, fuck it,

963
00:50:59,719 --> 00:51:01,880
Speaker 2: we don't need we don't need people standing that, we

964
00:51:01,880 --> 00:51:05,239
Speaker 2: don't need human line judges anymore, which is fine. I

965
00:51:05,239 --> 00:51:07,640
Speaker 2: guess a certain bit of like you're saying, like that

966
00:51:07,800 --> 00:51:11,120
Speaker 2: helps for when like people are making egregious mistakes in

967
00:51:11,239 --> 00:51:13,520
Speaker 2: calling like a ball in or out. But it's just

968
00:51:13,560 --> 00:51:16,160
Speaker 2: interesting to even like fundamentally change the visuals of a

969
00:51:16,160 --> 00:51:19,880
Speaker 2: tennis match, like you're used to seeing that that official

970
00:51:20,160 --> 00:51:23,239
Speaker 2: sitting in their big beach chair. I think they'll still

971
00:51:23,280 --> 00:51:26,279
Speaker 2: be still be They'll still be yeah. Yeah, it's just

972
00:51:26,360 --> 00:51:28,760
Speaker 2: the line judges who are like in the back looking

973
00:51:28,800 --> 00:51:30,480
Speaker 2: at one line the whole time.

974
00:51:30,960 --> 00:51:34,000
Speaker 1: Oh oh so they took it, took their jobs.

975
00:51:34,480 --> 00:51:38,040
Speaker 2: I think okay, okay, okay. And Wimbledon is the last

976
00:51:38,040 --> 00:51:39,399
Speaker 2: one to make this change.

977
00:51:39,080 --> 00:51:40,799
Speaker 4: So like, yeah, US Open had it.

978
00:51:41,640 --> 00:51:43,160
Speaker 2: Had it this year, I believe. Yeah.

979
00:51:43,440 --> 00:51:46,319
Speaker 4: So I can't think of a more stressful job than

980
00:51:46,360 --> 00:51:50,040
Speaker 4: being a ball person. Yeah, like at a Grand Slam

981
00:51:50,520 --> 00:51:53,040
Speaker 4: like yeah, and a major event like oh my god,

982
00:51:53,239 --> 00:51:57,120
Speaker 4: imagine if you trip, imagine if you missthrow, Like why

983
00:51:57,160 --> 00:51:59,399
Speaker 4: would anyone put themselves in that level of.

984
00:51:59,360 --> 00:52:03,040
Speaker 2: Stress if you sneeze like when they're about to like serve,

985
00:52:03,520 --> 00:52:07,680
Speaker 2: can you imagine? Yeah, I would totally fuck that up.

986
00:52:08,080 --> 00:52:09,600
Speaker 2: Like I already don't know what to do with my

987
00:52:09,680 --> 00:52:12,799
Speaker 2: hands normally, Like it's just like always being on the

988
00:52:12,840 --> 00:52:15,279
Speaker 2: sideline just being like wow, a lot of people are

989
00:52:15,320 --> 00:52:17,600
Speaker 2: looking at me right now and I'm not allowed to move,

990
00:52:18,000 --> 00:52:20,200
Speaker 2: so like you just you would just like freeze with

991
00:52:20,239 --> 00:52:22,680
Speaker 2: like your hands like here, I don't know, like at

992
00:52:22,719 --> 00:52:25,759
Speaker 2: your shoulders just like crazy. Yeah.

993
00:52:25,800 --> 00:52:28,160
Speaker 1: Well, and like I feel like you every turn or

994
00:52:28,200 --> 00:52:30,799
Speaker 1: not every tournament. There's always like those videos you see

995
00:52:30,840 --> 00:52:32,759
Speaker 1: too of like the like the ball kid or ball

996
00:52:32,800 --> 00:52:34,239
Speaker 1: boy or whatever just getting hit with.

997
00:52:34,200 --> 00:52:37,000
Speaker 2: A serf like one hundred and forty mile an hour tennis.

998
00:52:37,040 --> 00:52:40,880
Speaker 2: But I'm like, yeah, I'm twelve. I think they're like

999
00:52:41,040 --> 00:52:44,240
Speaker 2: really good players who will like just like dish them

1000
00:52:44,320 --> 00:52:47,760
Speaker 2: like dimes. No, look dimes to them. Yeah, that's always

1001
00:52:47,800 --> 00:52:50,560
Speaker 2: That's like one of my favorite types of sports highlights

1002
00:52:51,120 --> 00:52:54,520
Speaker 2: is like Roger Feeder, like when when like a ball

1003
00:52:54,560 --> 00:52:56,440
Speaker 2: gets hit to him and he just like will go

1004
00:52:56,520 --> 00:53:00,480
Speaker 2: but behind his back too, like directly to the line person. Yeah,

1005
00:53:00,480 --> 00:53:04,959
Speaker 2: but this just this quote the Association of Tennis Professionals

1006
00:53:04,960 --> 00:53:08,960
Speaker 2: makes as much money from licensing ball and player tracking

1007
00:53:09,080 --> 00:53:13,200
Speaker 2: data as it does selling its broadcast rights, Like that

1008
00:53:13,239 --> 00:53:16,879
Speaker 2: doesn't even make any sense to me, Like that the

1009
00:53:16,920 --> 00:53:20,000
Speaker 2: amount of money that is in sports betting is just

1010
00:53:20,200 --> 00:53:24,719
Speaker 2: so beyond what I can conceive of that just like

1011
00:53:24,760 --> 00:53:28,960
Speaker 2: a slight edge, like whatever this AI is telling them

1012
00:53:29,440 --> 00:53:32,600
Speaker 2: is enough of an edge that they are paying the

1013
00:53:32,640 --> 00:53:37,000
Speaker 2: same amount that like NBC is paying for the rights

1014
00:53:37,000 --> 00:53:41,640
Speaker 2: to broadcast the French Open is Like what how? How

1015
00:53:41,719 --> 00:53:42,840
Speaker 2: is that? I wanted that.

1016
00:53:43,160 --> 00:53:48,120
Speaker 1: Happening across other sports too, because as the sports like

1017
00:53:48,160 --> 00:53:52,600
Speaker 1: sort of data analysis technology improves, you're getting like so

1018
00:53:53,160 --> 00:53:55,799
Speaker 1: much information And I get how it's useful to like

1019
00:53:55,840 --> 00:53:59,400
Speaker 1: a team to understand like the physical like load on

1020
00:53:59,440 --> 00:54:01,759
Speaker 1: a player and be like okay, they can only do

1021
00:54:01,800 --> 00:54:03,480
Speaker 1: this amount of time or like you can tell that

1022
00:54:03,480 --> 00:54:05,239
Speaker 1: they're slowing down just based on these sort of like

1023
00:54:05,239 --> 00:54:08,279
Speaker 1: analytical points. But yeah, like if Tennis is selling it,

1024
00:54:08,280 --> 00:54:11,640
Speaker 1: then like is every has everybody got some form of

1025
00:54:11,680 --> 00:54:12,000
Speaker 1: it too.

1026
00:54:12,520 --> 00:54:15,719
Speaker 4: My dad has been in a fantasy baseball league for

1027
00:54:15,760 --> 00:54:18,800
Speaker 4: like forty years, the same one like write when it started,

1028
00:54:18,840 --> 00:54:22,880
Speaker 4: and now my husband is his partner for better or

1029
00:54:22,960 --> 00:54:26,480
Speaker 4: worse ed. It's so funny because like my dad's roam

1030
00:54:26,520 --> 00:54:29,279
Speaker 4: of reference, like what's available. Like my dad will keep

1031
00:54:29,280 --> 00:54:31,279
Speaker 4: being like to John, He'll be like, Okay, put this

1032
00:54:31,360 --> 00:54:34,360
Speaker 4: player through your system, and like the system is just

1033
00:54:34,400 --> 00:54:41,279
Speaker 4: a free website that johns about. It's just like a

1034
00:54:41,320 --> 00:54:43,799
Speaker 4: website that's available to everybody.

1035
00:54:46,440 --> 00:54:47,759
Speaker 2: What do we know about this guy? What do we

1036
00:54:47,800 --> 00:54:49,080
Speaker 2: know about this guy? What's it saying?

1037
00:54:49,480 --> 00:54:53,040
Speaker 4: But there's just like so many stats and ways to

1038
00:54:53,080 --> 00:54:55,080
Speaker 4: think about it, and like I mean, just like fantasy

1039
00:54:55,120 --> 00:54:58,719
Speaker 4: baseball alone is like its own like powerhouse industry of

1040
00:54:58,719 --> 00:55:00,000
Speaker 4: what people pay to get.

1041
00:55:00,280 --> 00:55:02,960
Speaker 1: Right, Like yeah, wild, because I hold the whole saber

1042
00:55:03,080 --> 00:55:05,560
Speaker 1: metrics thing coming out in baseball has just been like

1043
00:55:05,600 --> 00:55:08,400
Speaker 1: such a huge thing that I feel like that was

1044
00:55:08,400 --> 00:55:10,359
Speaker 1: just sort of like a domino to fault as many

1045
00:55:10,400 --> 00:55:13,600
Speaker 1: other professional sports where now like teams have like just

1046
00:55:13,760 --> 00:55:17,960
Speaker 1: data scientists, Yeah, just crunching all kinds of numbers to be.

1047
00:55:17,960 --> 00:55:19,400
Speaker 2: Like Nope, this is what we need to do this,

1048
00:55:19,520 --> 00:55:21,640
Speaker 2: we need to sign this, we need to rest. I've

1049
00:55:21,680 --> 00:55:26,239
Speaker 2: played fantasy sports before with people who were in like

1050
00:55:26,280 --> 00:55:31,000
Speaker 2: the finance industry, and like one of them admitted, like later, yeah,

1051
00:55:31,000 --> 00:55:32,840
Speaker 2: I had like one of my quants like do the

1052
00:55:32,920 --> 00:55:35,800
Speaker 2: draft for me, like one of my like quantitative people

1053
00:55:36,120 --> 00:55:40,040
Speaker 2: like I just want what's the point, yeah, exactly, well

1054
00:55:40,160 --> 00:55:43,040
Speaker 2: to win and yeah, yeah, they're just they're just outsourcing

1055
00:55:43,080 --> 00:55:48,640
Speaker 2: things better, you know, optimization. It's a yeah, I don't

1056
00:55:48,800 --> 00:55:51,759
Speaker 2: play fantasy sports with them anymore because I don't have

1057
00:55:51,800 --> 00:55:58,880
Speaker 2: a quant Yeah quits, yeah, keeps quitting. Apparently seventeen dollars

1058
00:55:58,920 --> 00:56:05,000
Speaker 2: an hour is not competitive. Yeah. Yeah. Like the so

1059
00:56:05,400 --> 00:56:09,800
Speaker 2: this reporter like went with the Hawkeye people and noticed

1060
00:56:09,960 --> 00:56:14,360
Speaker 2: that their information was being like transmitted live to like

1061
00:56:14,680 --> 00:56:17,200
Speaker 2: not just the chair umpire, but to like a bunch

1062
00:56:17,200 --> 00:56:20,279
Speaker 2: of business partners of ATP, and like figured out that

1063
00:56:20,320 --> 00:56:22,839
Speaker 2: the business partners were like the sports betting companies, And

1064
00:56:22,880 --> 00:56:26,080
Speaker 2: he asked the people who were like high up employees

1065
00:56:26,080 --> 00:56:28,480
Speaker 2: who were like making the system work, and they didn't

1066
00:56:28,520 --> 00:56:31,960
Speaker 2: know that they were like wait really, oh wow, I

1067
00:56:31,960 --> 00:56:35,120
Speaker 2: guess that's good for our like business, right, yeah, so

1068
00:56:35,160 --> 00:56:38,280
Speaker 2: it's more people will hire are the people who actually

1069
00:56:38,320 --> 00:56:41,920
Speaker 2: do things. Yeah, they're the people who do things. And

1070
00:56:41,960 --> 00:56:44,839
Speaker 2: then they're the like higher level people who are just

1071
00:56:45,520 --> 00:56:48,960
Speaker 2: figuring out how to make millions and millions of dollars. Right.

1072
00:56:49,360 --> 00:56:53,080
Speaker 2: It's a weird world. It's a weird world. Weird world

1073
00:56:53,440 --> 00:56:56,400
Speaker 2: spinning off in that direction as long as we're allowed

1074
00:56:56,400 --> 00:56:59,120
Speaker 2: to those people are allowed to pay hundreds of millions

1075
00:56:59,160 --> 00:57:02,799
Speaker 2: of dollars to policy. You know, well, anyway, invest in

1076
00:57:02,800 --> 00:57:05,520
Speaker 2: our technology. We got a competing one coming up. We

1077
00:57:05,600 --> 00:57:07,239
Speaker 2: have a system. We don't want to reveal it, but

1078
00:57:07,280 --> 00:57:10,440
Speaker 2: if you guys are interested in the system, the system,

1079
00:57:10,600 --> 00:57:13,600
Speaker 2: Yeah right, that sounds like a grift. Already, put it

1080
00:57:13,680 --> 00:57:19,960
Speaker 2: through the system, put it through your system. That part too,

1081
00:57:20,560 --> 00:57:22,800
Speaker 2: it is it's like that's so like the sort of

1082
00:57:22,840 --> 00:57:25,840
Speaker 2: purity about like older people too, or like there gets

1083
00:57:25,880 --> 00:57:29,160
Speaker 2: so sort of the distance between like new technological advancements

1084
00:57:29,240 --> 00:57:30,160
Speaker 2: or the internet, and they're.

1085
00:57:30,000 --> 00:57:32,360
Speaker 1: Like, why don't you load them up in that system

1086
00:57:32,400 --> 00:57:36,000
Speaker 1: you got there? Or like yeah, like when my yeah, anyway,

1087
00:57:36,160 --> 00:57:38,720
Speaker 1: just fun, where'd you find it? What's the system that

1088
00:57:38,800 --> 00:57:41,680
Speaker 1: you used to find songs like, it's a Spotify algorithm,

1089
00:57:41,760 --> 00:57:44,360
Speaker 1: but yeah, the system is telling you to listen to

1090
00:57:44,440 --> 00:57:44,840
Speaker 1: this week.

1091
00:57:45,120 --> 00:57:48,640
Speaker 2: That's right. Well, Alison Raskin, what a pleasure having you

1092
00:57:48,880 --> 00:57:52,680
Speaker 2: on the daily Zeitgeist as always? Where can people find you?

1093
00:57:52,840 --> 00:57:55,640
Speaker 2: Follow you by your book all that good stuff.

1094
00:57:56,000 --> 00:57:58,360
Speaker 4: Yeah, so my book I Do I Think is out

1095
00:57:58,520 --> 00:58:02,400
Speaker 4: next Tuesday, October fifteenth. It should be available wherever books

1096
00:58:02,440 --> 00:58:06,400
Speaker 4: are sold. There's also an audible version and a Kindle version,

1097
00:58:07,040 --> 00:58:09,760
Speaker 4: and pre orders matter a lot. So if you're like, huh,

1098
00:58:09,760 --> 00:58:12,520
Speaker 4: maybe I want to read that someday, maybe that someday

1099
00:58:12,560 --> 00:58:15,439
Speaker 4: could be today, because that would really help me out,

1100
00:58:17,160 --> 00:58:21,080
Speaker 4: And then I'm all on the internet at Alison Raskin

1101
00:58:21,240 --> 00:58:23,920
Speaker 4: and I also have a mental health focus substack and

1102
00:58:24,080 --> 00:58:26,200
Speaker 4: Instagram called Emotional Support Lady.

1103
00:58:27,160 --> 00:58:30,920
Speaker 2: There you go, emotional sport. Is there a work of

1104
00:58:31,080 --> 00:58:32,600
Speaker 2: media that you've been enjoying?

1105
00:58:33,080 --> 00:58:35,120
Speaker 4: Well, I just saw I took a photo of this

1106
00:58:35,200 --> 00:58:37,800
Speaker 4: like very cute little comic that I saw on Instagram

1107
00:58:38,240 --> 00:58:41,840
Speaker 4: that was like two little bears, like adorable little bears,

1108
00:58:41,840 --> 00:58:44,400
Speaker 4: and one bearsys the other bear. Why are you in

1109
00:58:44,480 --> 00:58:47,640
Speaker 4: such a silly mood? And then the Purple Bear replies,

1110
00:58:47,760 --> 00:58:51,840
Speaker 4: Without it, darkness would consume me. And that's sort of

1111
00:58:51,880 --> 00:58:52,640
Speaker 4: where I'm at.

1112
00:58:54,680 --> 00:58:58,520
Speaker 2: It's so cute, amazing, Miles, where can people find you?

1113
00:58:58,600 --> 00:59:01,960
Speaker 2: Is there a working media you enjoy? Yeah? Yeah, yeah.

1114
00:59:02,080 --> 00:59:04,520
Speaker 1: Find me on Twitter and Instagram at Miles of Gray.

1115
00:59:04,600 --> 00:59:07,200
Speaker 1: You can find Jack and I on the Wonderful Basketball

1116
00:59:07,200 --> 00:59:09,880
Speaker 1: podcast Miles and jackot Man boosties and if you want

1117
00:59:09,880 --> 00:59:12,240
Speaker 1: to hear me talk about ninety day Fiance, I do

1118
00:59:12,360 --> 00:59:16,480
Speaker 1: that on four twenty day Fiance. A tweet I like

1119
00:59:16,640 --> 00:59:20,080
Speaker 1: is from at Matt the brand who tweeted the best

1120
00:59:20,080 --> 00:59:22,240
Speaker 1: part about driving a twenty ten Honda.

1121
00:59:21,960 --> 00:59:26,439
Speaker 2: Civic is you can just like bump into stuff, which

1122
00:59:26,480 --> 00:59:27,720
Speaker 2: is kind of like, yep, that's weird.

1123
00:59:27,720 --> 00:59:27,800
Speaker 4: Now.

1124
00:59:27,800 --> 00:59:29,040
Speaker 1: We were kind of talking about that on the other

1125
00:59:29,080 --> 00:59:32,520
Speaker 1: episode or earlier episode about just needing a car. Sometimes

1126
00:59:32,520 --> 00:59:35,120
Speaker 1: you teach lessons in when people are driving reckless, be

1127
00:59:35,160 --> 00:59:35,960
Speaker 1: like sorry.

1128
00:59:35,640 --> 00:59:39,160
Speaker 2: Man, I'm you're gonna have to bump into my little car. Sorry. Sorry.

1129
00:59:40,560 --> 00:59:44,240
Speaker 4: I saw a one of those stickers that says like

1130
00:59:44,240 --> 00:59:50,000
Speaker 4: like caution, new driver on a windowless white van. Oh,

1131
00:59:50,600 --> 00:59:53,240
Speaker 4: and I was like, that doesn't feel like what's someone's first,

1132
00:59:53,320 --> 00:59:54,520
Speaker 4: because no.

1133
00:59:54,680 --> 00:59:58,200
Speaker 2: Yeah, that's a very high level of difficulty.

1134
00:59:57,800 --> 01:00:00,440
Speaker 4: Isn't it's just kind of creepy. I don't know.

1135
01:00:00,600 --> 01:00:03,680
Speaker 2: Yeah, right, Like you're like, are you doing dirt in

1136
01:00:03,760 --> 01:00:06,440
Speaker 2: that windowless van? And then you think by putting a

1137
01:00:06,920 --> 01:00:09,760
Speaker 2: like new Driver stick around, people are like, oh, nothing to.

1138
01:00:09,720 --> 01:00:12,760
Speaker 4: See here or you that's why kids are getting into it.

1139
01:00:13,080 --> 01:00:14,680
Speaker 2: Yeah, it's what's the new Drivers.

1140
01:00:14,760 --> 01:00:16,280
Speaker 1: But the other part is just sort of like to

1141
01:00:16,320 --> 01:00:17,720
Speaker 1: your point, you see that and you're like, wait, hold

1142
01:00:17,760 --> 01:00:18,440
Speaker 1: on a second.

1143
01:00:18,240 --> 01:00:23,360
Speaker 2: What the fuck is this? Yeah? All right, tweet I've

1144
01:00:23,360 --> 01:00:29,439
Speaker 2: been enjoying PJ at PJ Evans tweeted meeting a friend's baby. Hey,

1145
01:00:29,480 --> 01:00:34,480
Speaker 2: what's up? Which I just thin thing? A friend's baby?

1146
01:00:34,760 --> 01:00:40,560
Speaker 2: And then Governor Kathy hawk you hock you but what's her?

1147
01:00:40,600 --> 01:00:41,120
Speaker 2: What's her name?

1148
01:00:42,080 --> 01:00:43,200
Speaker 4: What of New York?

1149
01:00:43,440 --> 01:00:47,439
Speaker 2: Yeahcl Yeah, I guess she couldn't fit the whole name

1150
01:00:47,560 --> 01:00:54,040
Speaker 2: because he said, yeah, says Governor Kathy Hocke you. But anyways,

1151
01:00:54,200 --> 01:00:56,720
Speaker 2: she said, my staff is telling me that New York

1152
01:00:56,840 --> 01:01:01,240
Speaker 2: is brat literally twenty hours ago, and Mike Rucker quote

1153
01:01:01,280 --> 01:01:03,840
Speaker 2: tweeted that and said, wait to strike while the iron

1154
01:01:04,000 --> 01:01:04,600
Speaker 2: is cold.

1155
01:01:09,160 --> 01:01:10,360
Speaker 4: I don't like that, lady.

1156
01:01:12,760 --> 01:01:15,960
Speaker 2: You can find me on Twitter at Jack underscore O'Brien.

1157
01:01:16,000 --> 01:01:18,920
Speaker 2: You can find us on Twitter at daily Zeitgeist. We're

1158
01:01:18,920 --> 01:01:21,040
Speaker 2: at d daily Zeitgeist on Instagram.

1159
01:01:21,080 --> 01:01:24,680
Speaker 10: We have a Facebook fan page and a website daily

1160
01:01:24,800 --> 01:01:27,120
Speaker 10: zeikeist dot com, where we post our episodes and our

1161
01:01:27,400 --> 01:01:30,160
Speaker 10: footnotes go off to the information that we talked about

1162
01:01:30,160 --> 01:01:32,560
Speaker 10: in today's episode, as well as a song that we

1163
01:01:32,640 --> 01:01:34,000
Speaker 10: think you might enjoy.

1164
01:01:35,240 --> 01:01:39,880
Speaker 2: Miles Yeah, is there than People. It's called Away. The

1165
01:01:39,920 --> 01:01:44,000
Speaker 2: track is called Away by the Australian band Vacations, And

1166
01:01:44,320 --> 01:01:47,640
Speaker 2: so again, always so much good music coming out of Australia.

1167
01:01:47,680 --> 01:01:51,720
Speaker 2: It's really a sight to behold as an appreciator of music.

1168
01:01:52,120 --> 01:01:55,040
Speaker 2: This is kind of like a dreamy rock pop sort

1169
01:01:55,040 --> 01:01:58,240
Speaker 2: of song. It kind of still feels kind of like summary,

1170
01:01:58,560 --> 01:02:01,760
Speaker 2: but also just just nice music, like if you're playing it,

1171
01:02:01,760 --> 01:02:05,160
Speaker 2: it'll take you somewhere nice. It doesn't feel like dark

1172
01:02:05,280 --> 01:02:07,520
Speaker 2: or aggressive. So I like that for that very reason.

1173
01:02:07,600 --> 01:02:11,160
Speaker 2: So this is a way by Vacations, not a way

1174
01:02:11,200 --> 01:02:14,280
Speaker 2: in a manager. It's just a way just away. No no,

1175
01:02:14,440 --> 01:02:15,720
Speaker 2: But if you want to hear me, I am.

1176
01:02:15,920 --> 01:02:18,880
Speaker 1: I do have a Spotify playlist of me singing all

1177
01:02:18,960 --> 01:02:19,880
Speaker 1: kinds of hoa songs.

1178
01:02:20,200 --> 01:02:23,560
Speaker 2: Yeah, no crib for a bed all right, well. The

1179
01:02:23,680 --> 01:02:26,520
Speaker 2: Daily Zeitgeist is a production of iHeartRadio. For more podcasts

1180
01:02:26,520 --> 01:02:28,600
Speaker 2: from my heart Radio, visit the iHeart Radio ap Apple

1181
01:02:28,640 --> 01:02:30,720
Speaker 2: podcast or wherever you listen to your favorite shows. That

1182
01:02:30,920 --> 01:02:33,240
Speaker 2: is gonna do it for us this morning, back this

1183
01:02:33,320 --> 01:02:35,360
Speaker 2: afternoon to tell you what is trending and we will

1184
01:02:35,560 --> 01:02:36,320
Speaker 2: talk to you all them b