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Speaker 1: Oh hey, there, it's me Jack. You've caught me unwinding,

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Speaker 1: enjoying a large goblet of delicious eggnog, untangling my brain,

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Speaker 1: gaining five to fifteen pounds of eggnog while we unwind.

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Speaker 1: Here at Daily Zeitgeist, in addition to publishing our normal

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Speaker 1: year end episodes and Santa's University, etc. We've decided to

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Speaker 1: take the opportunity to count down the top ten episodes

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Speaker 1: of the year published over the next ten days, the

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Speaker 1: ten days that we'll be off Monday through Friday, two

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Speaker 1: weeks in a row. How Jack, how did you guys

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Speaker 1: determine the top ten episodes? They were all equally incredible. Well,

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Speaker 1: we used a little something called democracy. Ever heard of it?

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Speaker 1: Depending on when you listen to this episode, that might

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Speaker 1: not be such a rhetorical question. But anyways, we let

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Speaker 1: you vote on the most listened to episodes of the

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Speaker 1: year to see what you liked best. And you're about

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Speaker 1: to hear your answers. Just ten bangers right in a row.

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Speaker 1: We've got a trending episode in the mix. We got

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Speaker 1: a lot of good ones and at number one, well,

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Speaker 1: let's just say you'll find out, especially if this is

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Speaker 1: the number one episode. We're putting this same bumper at

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Speaker 1: the start of all ten, so we hope you enjoy it.

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Speaker 2: We hope you enjoyed.

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Speaker 1: Listening to this year of TDZ as much as we

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Speaker 1: enjoyed making it, and we will see you all in

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Speaker 1: twenty twenty five. We hope you have a RESTful holiday.

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Speaker 1: Hello the Internet, and welcome to season three, twenty five,

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Speaker 1: Episode five of Dear Daily's I Guys Stay, a production

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Speaker 1: of iHeart Radio. This is a podcast where we take

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Speaker 1: a deep dive into america shared consciousness. And it is

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Speaker 1: Friday February eleven. Nope, and it is Friday February sixteenth,

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Speaker 1: twenty twenty four. Not a good start, guys, I'm fucking

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Speaker 1: up the date. That's when you know you're in for it.

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Speaker 1: When I'm can't even read numbers, the most the most

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Speaker 1: basic thing to read. I think I think I learned

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Speaker 1: that before reading numbers, before reading words. Anyways, my name

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Speaker 1: is Jack O'Brien aka Dan and Na, not inspector jadget Na.

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Speaker 1: No no, no Inspector jadget Na, no go. Sorry, Joe,

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Speaker 1: judget Joe. That is courtesy of Rezik on the Discord,

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Speaker 1: in reference to the fact that I pronounced inspector gadget

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Speaker 1: with two soft g's, and then tried to pretend that

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Speaker 1: I'd done it on purpose on yesterday's show and just

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Speaker 1: like believed that more words should be pronounced with the

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Speaker 1: soft G. I'm not proud. It just seemed like a

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Speaker 1: good idea at the time. I am thrilled to be

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Speaker 1: joined in the second by today's just co host, a

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Speaker 1: brilliant now I'm not gonna keep doing it, a brilliant

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Speaker 1: comedian writer, actor, the hilarious, the chaotic, the riding a

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Speaker 1: recumbent bike in short shorts. It's Blake Waxland.

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Speaker 3: Hey everyone, this is Blake Wexler aka Happy girth daya

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Speaker 3: my legs, Happy girth Day of my legs. Happy girth

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Speaker 3: Day dear plumpers, Happy girth day of my legs. Today

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Speaker 3: is my birthday, and I have a very exciting announcement.

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Speaker 4: Is that really calf?

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Speaker 1: Yeah?

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Speaker 3: Oh yeah, oh yeah. I would never joke about that.

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Speaker 3: I would never I joke about a lot of things.

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Speaker 3: I would never ever buy a birthday.

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Speaker 1: Very serious about my birthday.

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Speaker 3: Very serious. Equally a serious announcement. My calf muscles have

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Speaker 3: gotten so big and strong they are no longer considered

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Speaker 3: to be caps but cows now cow muscles.

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Speaker 1: That sucks.

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Speaker 4: It's good, It's really that is very good, very very good.

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Speaker 1: I just thought you were commenting on the fact that

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Speaker 1: every day's leg day for you, and you know, happy

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Speaker 1: girth Day to your plumpers is every day, but happy

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Speaker 1: happy birthday to your plumpers, and happy birthday to you,

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Speaker 1: Blake Wesler. What a treat.

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Speaker 4: Thank you.

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Speaker 3: I know I came up with this bit, but it

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Speaker 3: still is. It's starting to make me feel sick to

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Speaker 3: my stomach hearing these words. Garm, I'm so sorry, and

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Speaker 3: don't you.

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Speaker 5: Going to say one more time?

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Speaker 4: But I would never Is that weird?

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Speaker 1: Is that a good combination to yeah, weird word that

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Speaker 1: has been paired with plumpers and also very weird, which

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Speaker 1: is that's fine? Both like and I used to describe that.

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Speaker 5: I could add another word, I'm not adding. I'm not adding.

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Speaker 1: You don't have to. Who are you? Though?

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Speaker 5: Who am I?

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Speaker 4: Who are you?

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Speaker 1: We are thrilled to be jo ooined in our third

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Speaker 1: seat by a brilliant writer, producer, vice columnus journalists, podcast

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Speaker 1: host just all all of the jobs, just had them.

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Speaker 1: It's been good at them. She's done them amazingly. Her

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Speaker 1: memoir Why Don't You Tell Me was called propulsive and

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Speaker 1: explosive by Publishers Weekly, and she was called a master

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Speaker 1: storyteller by a regional paper, The New York Times. I

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Speaker 1: don't know if you've ever heard of them. Please welcome

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Speaker 1: to the show, the brilliant, the talented. Carmen Rita.

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Speaker 5: What listen does Carmel san Diego have a song? I

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Speaker 5: don't remember you did?

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Speaker 6: Inspect san Diego is like, where in the world is.

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Speaker 1: The place my brain is at? Is that? I couldn't

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Speaker 1: even change the second word to san Diego, I said, Carmen,

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Speaker 1: Inspector Jesus Christ, Guys, what is going on? I don't know? Fight?

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Speaker 1: Is everybody doing good? Yeah?

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Speaker 5: Right?

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Speaker 1: I mean is it really your birthday? Blake? I still

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Speaker 1: don't know, Blake?

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Speaker 4: Yeahday, birthday?

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Speaker 5: Man?

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Speaker 4: Oh, thank you, thank you so much. Yeah, it's uh.

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Speaker 3: It is Friday, February sixteenth, which is today is my birthday.

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Speaker 4: Yeah. So I'm uh. I feel good. I feel young

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Speaker 4: again in a way.

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Speaker 3: I've done one. I've don't want eighty. The earlier part

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Speaker 3: of my thirties has been it has been a slog.

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Speaker 3: But now you know, I've had some serums and experimental

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Speaker 3: medication and metal surgery, not even plastic surgery, and yeah,

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Speaker 3: I feel I feel pretty good.

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Speaker 4: Yeah where are you at.

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Speaker 5: I'm I'm at home in a closet. No, there's construction

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Speaker 5: in my building all of a sudden, so I'm like, yeah,

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Speaker 5: in the class. No, no, no, listen, I've had I

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Speaker 5: just had surgery like three months ago. So there you go,

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Speaker 5: speaking of surgeries. But they're taking things out, not putting

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Speaker 5: things in, so.

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Speaker 4: It is good.

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Speaker 1: Yeah, fewer things as we get older.

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Speaker 5: Fewer things as you get older. Yes, things start, you know,

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Speaker 5: disappearing for a good reason.

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Speaker 4: A minimalist body is I think what we all want.

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Speaker 6: Yes, with youthful blood transferring, you know, the blood of

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Speaker 6: the youth into yourselves, as certain billionaires do.

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Speaker 1: I'm glad someone said it. Or can we just stop

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Speaker 1: acting like having young people as blood bags is only

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Speaker 1: for billionaires?

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Speaker 4: I mean, thank you.

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Speaker 1: It's a it's a fun, earthy alternative to your morning coffee.

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Speaker 1: You know, just get you do it. Don't do it

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Speaker 1: all right? No, I was just trial balloon. It was

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Speaker 1: a trial balloon. It didn't go over well. So we're

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Speaker 1: just gonna kind of put that, put that back, and

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Speaker 1: and I'll bring it out in a couple more years.

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Speaker 1: See help people respond to it.

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Speaker 4: Well, oh my god, car.

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Speaker 1: We're gonna get you well, well, well look who it is. Yes,

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Speaker 1: we're gonna get to know you a little bit better

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Speaker 1: in a moment. First, we're gonna tell our listeners a

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Speaker 1: couple of things we're talking about today. You may have

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Speaker 1: seen headlines that Russia space NUK something like that. The

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Speaker 1: Russia is gonna nucus from space was kind of the

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Speaker 1: vibes I was getting from the headlines Russian nuclear space

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Speaker 1: weapons and yeah, washing it was.

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Speaker 3: You should read the rest of the article before you

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Speaker 3: add it into the show.

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Speaker 1: Run. You may have seen Russian nuclear The words aren't

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Speaker 1: even in order in my head space, but that's my

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Speaker 1: impressionistic version of what it was like for me to

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Speaker 1: see those words together. Is like, that's bad, right, Like

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Speaker 1: that combination of words is bad. The truth of the

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Speaker 1: story a little less scary. So we're just gonna talk

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Speaker 1: about that turned the temperature down a little bit on

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Speaker 1: the Russian nuclear space laser bombs thing. We're gonna talk

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Speaker 1: about what it's like to apply for a job at

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Speaker 1: McDonald's these days. Hint, it involves an ai blue space

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Speaker 1: creature that you have to like answer existential questions about it.

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Speaker 3: Very confused positive story. Yeah, that's gonna be uplifting in

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Speaker 3: a lot of ways.

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Speaker 1: And then we're gonna talk about Tesla troubles because yeah,

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Speaker 1: we I mean we are an Elon Musk fan podcast.

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Speaker 1: We we love him and we feel like he can

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Speaker 1: do no wrong. But god damn guy keeps sucking up

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Speaker 1: Tesla is Tesla is having a worse quarter.

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Speaker 3: Likes he's so smart and rich's place.

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Speaker 1: God stop, we were smarter and why don't you have

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Speaker 1: fifty billion dollars? Bro? But he uh, Tesla, I didn't.

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Speaker 1: I didn't realize this. I don't normally pay attention to

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Speaker 1: the markets because I think it's like all bullshit, but

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Speaker 1: it is just interesting. Like the thing that he's famous

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Speaker 1: for is like making a lot of money for Tesla,

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Speaker 1: Like with Tesla stock, he Tesla is having a worse quarter,

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Speaker 1: a worse year so far than Boeing. Wh Yeah no,

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Speaker 1: literally them Boeing there performed. Tesla is performing the worst

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Speaker 1: out of any SMP five hundred stock Boeing has, Like

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Speaker 1: just to put that in perspective, Boeing had a window

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Speaker 1: explode off of the plane they built. A door explode

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Speaker 1: off of a plane they built, and we're like, yeah,

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Speaker 1: that's that's our bad. That one's on us, guys, and

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Speaker 1: we know it was a problem, but you know you sorry,

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Speaker 1: And Tesla's doing worse than that.

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Speaker 3: Well, the cyber trucks can't fly is the problem. That's

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Speaker 3: why he promised that cyber trucks could fly, and they can't.

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Speaker 3: So that's going to hurt your stock.

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Speaker 1: That is the tenor of the conversation of the cyber

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Speaker 1: truck heading in is like, you literally can't be shot

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Speaker 1: in this thing. Nothing can happen to it. And then

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Speaker 1: the people who ordered their cyber trucks, the same people

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Speaker 1: who are anxiously awaiting the latest email from Donald Trump,

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Speaker 1: I have to assume go like got the owner's manual,

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Speaker 1: And the owner's manual was like you, if a bird

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Speaker 1: shits on this car, sell it or take it, or

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Speaker 1: get like alcohol, like industrial strength alcohol wipes and clean

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Speaker 1: that shit off immediately, because it's it's bad for your

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Speaker 1: cyber truck. If like just a if it gets like

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Speaker 1: dirt on.

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Speaker 5: It, Yeah, it's made of a dowinoil.

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Speaker 1: Yeah, it's amazing. It's made of stainless steel, and they

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Speaker 1: were like, oh the stainless thing. Die. Wait, turns out

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Speaker 1: that doesn't mean it can't be staying, and in fact,

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Speaker 1: it's like just just drinking in everything that you put

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Speaker 1: on it like a sponge. So we'll talk about all

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Speaker 1: that plenty more. But before we get to any of that, Carmen,

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Speaker 1: we do like to ask our guest, what is something

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Speaker 1: from your search history?

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Speaker 5: Oh God, we're gonna start with that one, all right,

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Speaker 5: so we can get out of the serious stuff. So

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Speaker 5: on my search history, you're catching me right after lunch

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Speaker 5: and once a week. It's my little routine because I

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Speaker 5: need a little treat. Once a week with my lunch,

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Speaker 5: I watch all the new movie previews. So my search

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Speaker 5: was Godzillan Calm. Is that it's fair for godzill In Calm.

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Speaker 5: You can laugh at me. It's listen, Godzilla is my girl,

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Speaker 5: all right, let's be real. I can be a very

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Speaker 5: very serious person and intellect. However, when it comes to

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Speaker 5: giant reptiles who may be female trying to protect their

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Speaker 5: territory and they can shoot blue lasers out of their mouths,

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Speaker 5: I am on board so hard so.

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Speaker 1: The thing my pause was not just being staggered at

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Speaker 1: your low brow tasee. I wasn't like god. It was

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Speaker 1: not me picking up the monocle that had fallen from

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Speaker 1: my eye when you said Doddzian Kong. I thought they

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Speaker 1: made this one already.

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Speaker 5: They did, But it's the trailer. It's the new trailers.

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Speaker 1: It's a trailer for the new sequel. So they got.

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Speaker 5: Godzillaan Kong are teaming up.

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Speaker 1: So the first one was Godzilla Jodzilla verse con.

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Speaker 5: This is Godzilla x Kong, which means multi sequel.

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Speaker 1: There's an x.

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Speaker 4: It's a collect it's a collabo.

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Speaker 1: Yes, mate, yes, man, So I was not up on this.

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Speaker 5: And Kong has a metal glove.

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Speaker 2: Why this.

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Speaker 4: Is so ridiculous.

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Speaker 6: You know, I'm gonna end up seeing this in like

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Speaker 6: four D. Right, I'm gonna go to the theater where

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Speaker 6: the seats move and it sprays water on you, and

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Speaker 6: I'm just gonna laugh my ass off.

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Speaker 5: It's gonna be wonderful.

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Speaker 1: Did you watch the first the v Godzilla v. Kong? Yes?

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Speaker 5: And did you see Godzilla Minus one, which was a masterpiece.

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Speaker 1: I mean, these math equations too much for masterpiece. I

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Speaker 1: didn't know there's gonna be math here. Oh yeah, sorry

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Speaker 1: I cut you off.

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Speaker 3: You had a no, no, no, no, it's okay, No

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Speaker 3: I didn't. It's so hard for me to watch these

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Speaker 3: when I'm you know, reading about Alexander Fleming and you know,

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Speaker 3: like disco, like the guy discovered penicillin. It's just that's

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Speaker 3: the type of stuff that I.

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Speaker 5: Like, I have heard that, I see, I see.

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Speaker 3: I have you seen the Apple Plus show monarch As.

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Speaker 5: I watched a couple of episodes.

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Speaker 3: Yeah, I liked it, I like, really liked it. And

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Speaker 3: of course the two Kurt Russell's were It's it's Kurt

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Speaker 3: Russell and his son Quyet Russell. I believe both play

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Speaker 3: the same person in different ages obviously super similar. Yeah,

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Speaker 3: yeah it works. They have the Russell raw jaw line.

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Speaker 3: And yeah, I thought it was cool. I liked it.

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Speaker 3: It wasn't perfect, but I was. I was into it.

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Speaker 5: I watched a couple of episodes, but it was it

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Speaker 5: was okay, it was okay. But yeah, when it comes

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Speaker 5: to the movies, I'm old school. This was my old

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Speaker 5: you know when I was like when I was a kid.

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Speaker 1: Yeah, you fuk with big monster movies like big Yeah,

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Speaker 1: what is your top, what's your number one?

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Speaker 5: Like that?

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Speaker 1: So my original introduction to movies and remains. You know,

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Speaker 1: my favorite movie was Jaws, which is a big monster movie,

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Speaker 1: but like I didn't take it in that direction then.

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Speaker 1: Instead just like got excited about Steven Spielberg movies and

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Speaker 1: like didn't like I because I saw I think the

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Speaker 1: thing that I followed up with was like a like

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Speaker 1: seventies King Kong and its just like as a kid,

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Speaker 1: like wasn't really doing it for me.

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Speaker 5: And so my first girl crushed by the way.

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Speaker 1: Just Klang, Yeah she's pretty, my lord.

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Speaker 5: Yeah, LORDI I was like, I'm confused.

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Speaker 1: Yeah, what's your number one big monster movie?

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Speaker 5: Listen? My first which, by the way, I watch all

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Speaker 5: kinds of like I'm a movie freak, so I'll watch

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Speaker 5: anything and quite obsessive. But Alien was everything. Yeah for me,

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Speaker 5: that movie I will watch over and over and over

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Speaker 5: and over again, like the whole concept of all of it. Alien, Predator,

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Speaker 5: big monster movie, Like I just I love them.

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Speaker 1: They're cool.

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Speaker 5: Terminator is he a monster?

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Speaker 1: I think so?

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Speaker 4: He is? The man is You've.

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Speaker 1: Seen that video of him traveling to uh Brazil for

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Speaker 1: a carnival, but he's no it's wild. It's like he

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Speaker 1: was the host of a travel show in the seventies

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Speaker 1: and he is out of control. He talks about you

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Speaker 1: like sasses and things like that, things of this nature.

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Speaker 1: Picks up a dancer one time, and it's like, uh,

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Speaker 1: you're worried that somebody is going to be ripped to shreds. Yeah,

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Speaker 1: so alien, Yeah, aliens. Twister twisters? Thoughts you excited?

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Speaker 3: I mean, I think it's too many. I could barely

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Speaker 3: handle one, and now there's multiple. Now there's multiple twisters.

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Speaker 3: Do you did you ever go to the Universal the

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Speaker 3: Universal Studios in in La where sorry studio studio where

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Speaker 3: they would have the King Kong, the massive King Kong,

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Speaker 3: but they would give him banana breath, like they would

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Speaker 3: have a scent of bananas.

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Speaker 4: And I just looked it up.

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Speaker 3: It turns out this is I'm not this isn't the

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Speaker 3: beginning of my brain decaying.

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Speaker 5: I would vomit.

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Speaker 4: It was disgusting, you would be so.

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Speaker 5: I would instantly throw up the.

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Speaker 1: Fic. The cinematic universe of King Kong's contains massive bananas

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Speaker 1: to go with the massive King Kong. Otherwise he would.

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Speaker 4: Just have to be eating bushels, right, true, which is

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Speaker 4: not sustainable.

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Speaker 1: Not sustainable sustainable.

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Speaker 5: King Kong does not need food.

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Speaker 1: No, I mean a monster.

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Speaker 5: His food is excitement. I don't know.

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Speaker 4: I have no fear.

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Speaker 5: My monsters like eating and pooping like I just really

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Speaker 5: destroys the image in my head.

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Speaker 1: His food like a you know, late night talk show

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Speaker 1: hosts fit food is our adulation and applause. King Kong's

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Speaker 1: food is our fear and terror. Yes, yes, yes, What

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Speaker 1: is something you think is over range? You know what?

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Speaker 5: Okay, let's bring your back down to I think you

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Speaker 5: said something. You said that you know the markets are bullshit,

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Speaker 5: right Jack?

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Speaker 1: You just said that?

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Speaker 5: All right, So let's let's let's bring ourselves back there

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Speaker 5: for a second. Because I'm thinking a lot about this

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Speaker 5: because some sports star just started some nonprofit about financial literacy.

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Speaker 5: I covered financial literacy for twenty plus years. I gave

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Speaker 5: financial advice. I was an editor at Money Fortune, I

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Speaker 5: had a TV show all this stuff, and I can

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Speaker 5: tell you I retired from it, I want to say,

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Speaker 5: seventy years ago, and I'm so glad I did. Because

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Speaker 5: one of the things is the realization that you cannot

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Speaker 5: financially literate yourself out of a real fed up economy

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Speaker 5: doesn't pay you, right, you can't the system when I

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Speaker 5: found out in covering the business for so long, covering

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Speaker 5: the banks, covering how everything has made, the government, the laws,

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Speaker 5: the rules you are up against. Of course, you need

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Speaker 5: to know the basics, especially women and marginalized people. You

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Speaker 5: have to know the basics and how to protect yourself

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Speaker 5: and how to be on timeable. But the idea that

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Speaker 5: so many of these things are set in motion or

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Speaker 5: beyond your control, like credit scores or like you know, overdrafts,

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Speaker 5: or like the market where, by the way, most of

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Speaker 5: the market is only fifteen percent of American people have

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Speaker 5: access to the stock market, right, So how can you now?

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Speaker 5: When I started back in financial literacy, it was it

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Speaker 5: was a different ballgame. And now it's like you can't

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Speaker 5: sit there and teach people out of the fact that,

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Speaker 5: for example, my first apartment. Let's see, my first job,

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Speaker 5: I was making thirty five thousand dollars a year, New

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Speaker 5: York City, Manhattan. Yeah, I could afford a studio apartment

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Speaker 5: walking distance from my job.

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Speaker 4: Wow, oh my god.

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Speaker 1: Yeah it was.

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Speaker 5: Seven hundred and fifty dollars. Now, and thank you, by

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Speaker 5: the way for having the geriatric on your show.

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Speaker 6: Now it's age is good.

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Speaker 5: I'm alive. I'm alive.

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Speaker 4: Age is good.

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Speaker 5: But they'll give you a perspective. Now, I've got young

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Speaker 5: people telling me that they're starting at thirty five thousand

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Speaker 5: dollars a year and a studio apartment in Midtown is

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Speaker 5: going for three thousand plus. Stop. How can you possibly

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Speaker 5: be literal enough to get yourself out of the fact

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Speaker 5: that they were just not paying people what we should

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Speaker 5: be paid.

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Speaker 1: Learn more from. Yeah, well, one thing I recently bootstraps,

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Speaker 1: no boots.

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Speaker 6: Let me say it ain't no bootstraps. They're gonna get

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Speaker 6: you out of this. Saying no boots, you can put

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Speaker 6: on your feet and get you out of this. Yes,

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Speaker 6: you can all sit there and grind. But the fact

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Speaker 6: of the matter is that if the system is set

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Speaker 6: up so badly against us that I just hope it's

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Speaker 6: so overrated. When you see financial literacy, when you see experts. Now,

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Speaker 6: back when I started, there were very few experts because

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Speaker 6: you actually had to be an expert. Yeah, okay, Now,

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Speaker 6: it's about selling things, it's about selling information, it's about

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Speaker 6: selling you a program, it's about all this.

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Speaker 5: Just be very very careful. Yeah, and then we've got

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Speaker 5: to get we've got to make some changes period.

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Speaker 1: The I mean, there's definitely like a real time almost

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Speaker 1: food chain like proliferation of scams that are like aiming

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Speaker 1: at you, and like that's definitely good to familiarize yourself with.

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Speaker 1: But yeah, when I learned that financial literacy was like

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Speaker 1: a pet project of big banks, yeah, I was like,

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Speaker 1: oh wait a second year. Yeah, like there because it

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Speaker 1: helps their narrative that like, no, the problem, the reason

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Speaker 1: there's inequality has it's not systemic. It's not this system

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Speaker 1: that is like just funneling massive amounts of money our way.

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Speaker 1: It's actually, uh, you guys are too dumb, and we're

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Speaker 1: we're willing to help you with that if you just

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Speaker 1: like pay us for these financial literacy programs.

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Speaker 6: Yeah, it's the whole Like you're also bad because you

402
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Speaker 6: use straws, but we are just gonna suck all the

403
00:23:05,840 --> 00:23:08,000
Speaker 6: oil out of you know what I mean. It's all

404
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Speaker 6: personal responsibility bs because they want to distract you from

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Speaker 6: the fact that it's all happening upstairs.

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Speaker 3: Yeah, it's really indicative and fucked up of how bad

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Speaker 3: the system is. That like beyond to your point basic understanding,

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Speaker 3: it's you're supposed to be like, you know what, Actually

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Speaker 3: you probably should be ignorant to what's going on because

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Speaker 3: it's going to make you way more upset. You actually

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Speaker 3: know how fucked up the system is, how it's upsetting.

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Speaker 1: That is not what the begs consider. Financial literacy is

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Speaker 1: like knowing what what they're doing to fuck you over.

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Speaker 1: The financial literacy is like all these financial products that

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Speaker 1: we can offer you to which is why.

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Speaker 5: We need Elizabeth Wren to stay where she is and

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Speaker 5: do more because because of her that that things have

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Speaker 5: changed and our continue to change and and we got

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Speaker 5: to change it. So you don't change the rules. They're

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Speaker 5: just going to do whatever they can, right, whatever they can.

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Speaker 4: Like it.

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Speaker 1: It seems like it's simple similar. I don't know if

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Speaker 1: it's exactly the same mechanism, but the reason that taxes

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Speaker 1: are so complicated in the US, like doing your own

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Speaker 1: taxes is not like I feel like if you talk

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Speaker 1: to people in other countries about financial literacy, they'll be like,

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Speaker 1: what the fuck are you talking about? Like I just like,

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Speaker 1: I know how much money I have and I try

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Speaker 1: not to like spend more than that and like that.

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Speaker 1: But it's so complicated because it's profitable for corporations.

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Speaker 5: To make it complicated, it's the government knows how much

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Speaker 5: you own taxes, all right, they can. You don't need

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Speaker 5: a company to pay a company. So anyway, that's another

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Speaker 5: one of the fights that's happening on Washington now to

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Speaker 5: kind of outlaw the whole tax prep stuff and have

436
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Speaker 5: people why are we paying? Why is everybody paying for

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Speaker 5: this stuff?

438
00:24:48,480 --> 00:24:50,600
Speaker 1: Yeah, it does seem like people are kind of catching

439
00:24:50,640 --> 00:24:53,440
Speaker 1: on to that one. Yes, Carmen, what is something you

440
00:24:53,440 --> 00:24:54,399
Speaker 1: think is underrated?

441
00:24:54,520 --> 00:24:54,639
Speaker 3: Oh?

442
00:24:54,720 --> 00:24:55,440
Speaker 5: This is more fun?

443
00:24:56,119 --> 00:24:56,960
Speaker 1: Do you know what? I love?

444
00:24:57,280 --> 00:24:57,920
Speaker 5: Love, love love.

445
00:24:58,000 --> 00:25:03,320
Speaker 4: Let's go about capital punishment? No, kidd and.

446
00:25:03,480 --> 00:25:05,200
Speaker 5: They hold me up, don't get me mad?

447
00:25:05,280 --> 00:25:18,439
Speaker 1: Now? Oh wow, you know this is.

448
00:25:18,320 --> 00:25:19,800
Speaker 5: That mout your moss fun?

449
00:25:20,000 --> 00:25:25,840
Speaker 6: Okay, So on shows I love because of course I'm

450
00:25:25,840 --> 00:25:28,680
Speaker 6: a writer too, But I love mash up words.

451
00:25:29,119 --> 00:25:31,600
Speaker 5: I don't like. I'm not talking about those TikTok kind

452
00:25:31,640 --> 00:25:33,639
Speaker 5: of stuff like Risen, So I'm talking about mash up

453
00:25:33,680 --> 00:25:35,400
Speaker 5: boards because right now, the word that I can't get

454
00:25:35,400 --> 00:25:37,600
Speaker 5: out of my head, which I love so much is corpsical.

455
00:25:39,240 --> 00:25:43,600
Speaker 5: Is anyone watching Detective? It is the idea and I've

456
00:25:43,680 --> 00:25:45,600
Speaker 5: and I come across a couple more of these words,

457
00:25:45,640 --> 00:25:49,520
Speaker 5: and I just love they make me so happy. H

458
00:25:50,080 --> 00:25:54,480
Speaker 5: Corpsical like the power to be able to create a

459
00:25:54,560 --> 00:25:57,840
Speaker 5: word that instantly makes your brain.

460
00:25:57,680 --> 00:26:00,600
Speaker 1: Go corpse know exactly what that is, and you.

461
00:26:00,600 --> 00:26:02,920
Speaker 5: Know exactly what it is, and it's a nonsense word.

462
00:26:03,640 --> 00:26:05,720
Speaker 5: I can't. By the way, I love the show.

463
00:26:06,560 --> 00:26:07,240
Speaker 1: Yeah, you love true.

464
00:26:07,760 --> 00:26:10,119
Speaker 3: That's a great underrated That's that's one of honestly my

465
00:26:10,160 --> 00:26:12,560
Speaker 3: favorite underrated. It's that's such a good one because it's

466
00:26:12,560 --> 00:26:16,159
Speaker 3: something that you appreciate subconsciously. But then hearing you say that,

467
00:26:16,280 --> 00:26:17,640
Speaker 3: I want to I want to keep an eye out

468
00:26:17,680 --> 00:26:19,719
Speaker 3: for more more corpsicle type words.

469
00:26:19,880 --> 00:26:21,960
Speaker 5: It's so fun. And then every time I hear corpsicle,

470
00:26:22,000 --> 00:26:24,080
Speaker 5: I'm like, oh, I just love it.

471
00:26:27,200 --> 00:26:29,520
Speaker 1: By the way, so so that you know where I'm at,

472
00:26:29,600 --> 00:26:32,280
Speaker 1: I tried to write corpsicle. I wasn't quite sure how

473
00:26:32,320 --> 00:26:35,800
Speaker 1: to how to spell it, and my autocorrect change it

474
00:26:35,840 --> 00:26:36,760
Speaker 1: to crop circle.

475
00:26:37,359 --> 00:26:40,840
Speaker 5: So you know what, it's another fantastical thing you love

476
00:26:40,880 --> 00:26:42,040
Speaker 5: sign So there you go.

477
00:26:42,760 --> 00:26:44,919
Speaker 1: I love science. Is that what you said? Yes? I

478
00:26:44,960 --> 00:26:45,640
Speaker 1: love science.

479
00:26:45,680 --> 00:26:51,280
Speaker 3: Science signs the M Night Shamalin movie signs that.

480
00:26:52,760 --> 00:26:56,320
Speaker 1: And see class that's I think that's in another M

481
00:26:56,400 --> 00:27:01,919
Speaker 1: Night Shyamalan movie where Mark Wahlberg is acience teacher and

482
00:27:01,960 --> 00:27:04,520
Speaker 1: he's like where just written on the board is like,

483
00:27:04,560 --> 00:27:06,560
Speaker 1: where'd the bees go? Oh?

484
00:27:08,680 --> 00:27:10,800
Speaker 5: Wasn't that? That wasn't signs? Which one was that one?

485
00:27:11,040 --> 00:27:15,600
Speaker 1: That that? Oh my god, what about the bees?

486
00:27:15,640 --> 00:27:17,679
Speaker 4: Though, bro, don't spoil it.

487
00:27:17,720 --> 00:27:20,879
Speaker 3: Don't spoil it, don't tell us where the pot?

488
00:27:21,320 --> 00:27:24,520
Speaker 5: Oh my god, that's a good Oneah, that is a

489
00:27:24,520 --> 00:27:24,960
Speaker 5: good one.

490
00:27:25,320 --> 00:27:29,400
Speaker 1: True Detective Season four or yeah, season four has one

491
00:27:29,440 --> 00:27:35,159
Speaker 1: of the most That corpsicle is the corp cycle to

492
00:27:35,280 --> 00:27:36,400
Speaker 1: end all corpsicles.

493
00:27:36,480 --> 00:27:38,960
Speaker 4: By the way, it's a bunch of Yeah, it's a

494
00:27:39,040 --> 00:27:41,040
Speaker 4: real and if you like.

495
00:27:41,080 --> 00:27:43,800
Speaker 5: This season, look at me. I'm not doing promo for her,

496
00:27:43,880 --> 00:27:46,640
Speaker 5: but I do adore her. The director of Isa Lopez

497
00:27:46,880 --> 00:27:52,000
Speaker 5: right from Mexico. She has her horror movie Tigers Are

498
00:27:52,040 --> 00:27:56,560
Speaker 5: Not Afraid. It was beautiful and fresh.

499
00:27:56,720 --> 00:27:58,080
Speaker 6: You know, when you see a movie, it's not like

500
00:27:58,800 --> 00:28:00,520
Speaker 6: you're not like, wow, that was so great in epicable,

501
00:28:00,560 --> 00:28:02,200
Speaker 6: but but when you see it and you go, okay.

502
00:28:01,880 --> 00:28:04,720
Speaker 5: That's new. Yeah, Like how hard is it to see

503
00:28:04,840 --> 00:28:07,400
Speaker 5: to watch something today and be like, Okay, that's that's new.

504
00:28:07,880 --> 00:28:11,440
Speaker 5: I haven't seen that. That's her and it is brilliant,

505
00:28:11,440 --> 00:28:14,480
Speaker 5: so I'm not surprised that she produced a corpsicle.

506
00:28:16,240 --> 00:28:16,520
Speaker 1: Yeah.

507
00:28:16,560 --> 00:28:19,160
Speaker 5: If you watch that movie, you're like, this lady's brain

508
00:28:19,240 --> 00:28:21,560
Speaker 5: is different. Yeah, Miliki.

509
00:28:22,560 --> 00:28:25,640
Speaker 4: Oh that only has a ninety seven percent on Rotten Tomatoes.

510
00:28:25,680 --> 00:28:27,760
Speaker 5: That's all it happens.

511
00:28:28,200 --> 00:28:33,880
Speaker 1: Yeah, so high happy for herting my movies to watch

512
00:28:33,960 --> 00:28:37,000
Speaker 1: list me too, mm hmm so good.

513
00:28:37,119 --> 00:28:40,240
Speaker 5: So good by the way, ethel LOVEO LOVEO. Okay, moving on.

514
00:28:41,120 --> 00:28:45,640
Speaker 1: She's a big fan, as are all great brilliant you know,

515
00:28:45,760 --> 00:28:48,080
Speaker 1: directors who think different. They are huge fans of the

516
00:28:48,120 --> 00:28:52,400
Speaker 1: days iist. And we'll get fits fits All right, let's

517
00:28:52,400 --> 00:28:54,520
Speaker 1: take a quick break and come back, and we'll run

518
00:28:54,560 --> 00:28:56,040
Speaker 1: through some news stories. We'll be right back.

519
00:28:56,160 --> 00:29:08,680
Speaker 2: Okay, and we're back.

520
00:29:09,520 --> 00:29:12,280
Speaker 1: And I do like to every once in a while

521
00:29:12,400 --> 00:29:15,840
Speaker 1: check in with my good friend at the dreadg Report.

522
00:29:16,480 --> 00:29:18,680
Speaker 1: Every once in a while. It's just you do. The

523
00:29:18,760 --> 00:29:23,360
Speaker 1: Drug Report is like gets more traffic than the New

524
00:29:23,480 --> 00:29:27,240
Speaker 1: York Times and it is only one page. It has

525
00:29:27,280 --> 00:29:29,560
Speaker 1: like as many page views as the New York Times.

526
00:29:29,720 --> 00:29:33,000
Speaker 1: And it's just a bunch of links that this strange

527
00:29:33,040 --> 00:29:37,920
Speaker 1: man puts up on his weird conservative website. And yesterday

528
00:29:38,440 --> 00:29:44,640
Speaker 1: it was all about Russia space, nukes and how you know,

529
00:29:45,560 --> 00:29:48,920
Speaker 1: just in like big font red lettering. That's usually when

530
00:29:48,920 --> 00:29:51,680
Speaker 1: he's like, this is the one that everybody should be

531
00:29:51,680 --> 00:29:56,760
Speaker 1: paying attention to. So I have to assume that this anxiety,

532
00:29:57,000 --> 00:30:02,200
Speaker 1: the anxiety over Russian space new clear weapons, has entered

533
00:30:02,440 --> 00:30:06,240
Speaker 1: the American bloodstream. So I just wanted to kind of

534
00:30:06,280 --> 00:30:09,920
Speaker 1: take a quick look at how this came about. It

535
00:30:10,080 --> 00:30:16,440
Speaker 1: started with a person in the US House Intelligence Committee

536
00:30:16,880 --> 00:30:20,440
Speaker 1: who Mike Turner, some name that is just like two

537
00:30:21,240 --> 00:30:26,240
Speaker 1: very common names sandwich together, very plain, but he's he's

538
00:30:26,240 --> 00:30:29,560
Speaker 1: someone who, like when I mentioned him to people who

539
00:30:29,600 --> 00:30:32,120
Speaker 1: I don't think are even that politically active, they're like, oh, yeah,

540
00:30:32,200 --> 00:30:35,720
Speaker 1: I'm Mike turn So I just might not be totally

541
00:30:35,800 --> 00:30:38,240
Speaker 1: up on this person. But he got briefed on something

542
00:30:38,400 --> 00:30:41,400
Speaker 1: and was immediately like, oh my god, like you need

543
00:30:41,440 --> 00:30:44,040
Speaker 1: to like let us know what is happening here, you

544
00:30:44,080 --> 00:30:47,000
Speaker 1: need to let it like declassify this whole thing, and

545
00:30:47,600 --> 00:30:51,680
Speaker 1: like dropped hints that it was involved Russia and nuclear

546
00:30:51,720 --> 00:30:56,200
Speaker 1: weapons and space and that's a scary combination. I can

547
00:30:56,240 --> 00:31:00,880
Speaker 1: see how that is a scary combination. Jackpot. So the

548
00:31:00,920 --> 00:31:05,760
Speaker 1: reality of the situation is that I will just read

549
00:31:05,920 --> 00:31:10,200
Speaker 1: directly from the article that people were able to put

550
00:31:10,200 --> 00:31:15,680
Speaker 1: together using actual sourcing. US intelligence shows that Russia is

551
00:31:15,760 --> 00:31:20,680
Speaker 1: discussing the possibility of basing a nuclear weapon in space.

552
00:31:21,120 --> 00:31:24,400
Speaker 1: So they're discussing the possibility, but we did not discover

553
00:31:24,880 --> 00:31:30,520
Speaker 1: that Russia has a nuclear missile in orbit pointing at

554
00:31:30,520 --> 00:31:35,080
Speaker 1: our head. We are reporting on a conversation that we

555
00:31:35,120 --> 00:31:41,280
Speaker 1: think might be happening in Russia. And why would they

556
00:31:41,400 --> 00:31:44,000
Speaker 1: have a nuclear weapon in space because it could be

557
00:31:44,080 --> 00:31:51,160
Speaker 1: used to threaten our satellite communication. So another detail that

558
00:31:51,320 --> 00:31:54,920
Speaker 1: made me less stressed out about this, like thinking about

559
00:31:55,520 --> 00:31:58,920
Speaker 1: basing a weapon in space that could fuck with my

560
00:31:59,080 --> 00:32:02,520
Speaker 1: Wi Fi and cellular signal, Like.

561
00:32:02,920 --> 00:32:05,880
Speaker 4: Now I'm freaked out. No, now I'm sorry.

562
00:32:06,880 --> 00:32:12,000
Speaker 5: I think that's absolutely horrifying. Yeah, that is a nightmare scenario.

563
00:32:12,280 --> 00:32:14,760
Speaker 5: That is truly nightmare. Truly.

564
00:32:15,400 --> 00:32:19,240
Speaker 1: It also feels like not the way you would attack

565
00:32:19,320 --> 00:32:22,800
Speaker 1: someone's communication is to just blow all of the satellites

566
00:32:22,840 --> 00:32:25,720
Speaker 1: out of the sky with a nuclear weapon, Like that's

567
00:32:25,720 --> 00:32:26,320
Speaker 1: where you're wrong.

568
00:32:26,640 --> 00:32:28,520
Speaker 3: That's where you're wrong. It's not going to blow it.

569
00:32:28,560 --> 00:32:31,440
Speaker 3: They're actually going to just have it ram into the

570
00:32:31,520 --> 00:32:34,240
Speaker 3: satellites and break them. So no explosives it's going to

571
00:32:34,360 --> 00:32:37,280
Speaker 3: orbit around, bumping into satellites. I believe it's what Mike,

572
00:32:37,640 --> 00:32:41,480
Speaker 3: Mike Turner or whoever this in the room.

573
00:32:41,360 --> 00:32:41,920
Speaker 5: What the hell?

574
00:32:42,400 --> 00:32:44,760
Speaker 4: You know, A lot of a lot of circles, you.

575
00:32:44,720 --> 00:32:46,400
Speaker 5: Know, a lot of details.

576
00:32:46,400 --> 00:32:51,280
Speaker 1: So it's a bumper car, nuclear power bumps, bumper nuke. Yeah.

577
00:32:51,360 --> 00:32:53,280
Speaker 4: Yeah, it's terrifying.

578
00:32:54,120 --> 00:32:56,800
Speaker 5: Look, I mean it's a conversation, but with the idea

579
00:32:56,920 --> 00:32:57,920
Speaker 5: of knocking.

580
00:32:57,520 --> 00:33:01,000
Speaker 6: Out communications terrifying.

581
00:33:01,440 --> 00:33:04,760
Speaker 5: Yeah, because everything runs on everything runs.

582
00:33:04,480 --> 00:33:08,200
Speaker 1: On it now, Yeah, for sure, I guess.

583
00:33:09,760 --> 00:33:12,800
Speaker 4: Yeah, trains, automobiles.

584
00:33:12,880 --> 00:33:20,920
Speaker 3: Yeah, I just saw all the water come out of

585
00:33:21,040 --> 00:33:23,320
Speaker 3: Jack's body when he had to say automobiles.

586
00:33:24,040 --> 00:33:25,880
Speaker 4: Yeah, like you're all skin and teeth.

587
00:33:27,240 --> 00:33:28,280
Speaker 5: We had to say it.

588
00:33:29,040 --> 00:33:32,120
Speaker 3: Yeah, I'm sorry I put you in that position. I

589
00:33:32,160 --> 00:33:34,840
Speaker 3: thought this was already happening. I just figured there were

590
00:33:34,880 --> 00:33:37,440
Speaker 3: already were news in space that we have that they

591
00:33:37,480 --> 00:33:38,280
Speaker 3: had them same.

592
00:33:38,360 --> 00:33:38,840
Speaker 4: Yeah.

593
00:33:38,960 --> 00:33:41,520
Speaker 1: Yeah, I feel like there's going to be lots of

594
00:33:42,560 --> 00:33:47,560
Speaker 1: satellite based warfare happening in the near future. It just

595
00:33:47,680 --> 00:33:50,920
Speaker 1: it feels less scary than the idea of that. The

596
00:33:50,960 --> 00:33:54,520
Speaker 1: headline was communicating to me that a nuclear weapon was

597
00:33:54,520 --> 00:33:57,480
Speaker 1: going to be shot from space at us, and we

598
00:33:57,480 --> 00:34:00,840
Speaker 1: wouldn't have any warning and everything go boom. People are

599
00:34:00,880 --> 00:34:04,560
Speaker 1: pointing out, like so, everyone was like, so, why did

600
00:34:04,600 --> 00:34:07,400
Speaker 1: he just like leak the scariest possible version of this

601
00:34:07,600 --> 00:34:12,359
Speaker 1: story that we've known about for many years that has

602
00:34:12,400 --> 00:34:16,120
Speaker 1: been like an ongoing, you know, piece of information that

603
00:34:16,239 --> 00:34:21,240
Speaker 1: the intelligence committees were aware of, and people think it's possible.

604
00:34:21,280 --> 00:34:25,600
Speaker 1: Reasons have to do with trying to make people more

605
00:34:25,640 --> 00:34:29,680
Speaker 1: scared of Russia to get the Ukraine Israel funding bill

606
00:34:30,040 --> 00:34:33,759
Speaker 1: through the House where it is currently stalled out. There's

607
00:34:33,800 --> 00:34:39,000
Speaker 1: also a bill coming up that affects the government's ability

608
00:34:39,040 --> 00:34:42,799
Speaker 1: to spy on us, and so if they can get

609
00:34:42,840 --> 00:34:46,360
Speaker 1: people scared enough, they feel like maybe, you know, they

610
00:34:46,480 --> 00:34:49,279
Speaker 1: need a good scare around. Every time that thing is

611
00:34:49,320 --> 00:34:52,600
Speaker 1: getting ratified or re ratified.

612
00:34:52,239 --> 00:34:53,520
Speaker 5: Feels very smoke Bomby.

613
00:34:54,000 --> 00:34:56,560
Speaker 6: Yes, yeah, yeah, you know, it's just very much like

614
00:34:57,040 --> 00:34:59,399
Speaker 6: just throwing out smoke. Bu up, don't look over here,

615
00:34:59,480 --> 00:35:01,879
Speaker 6: look over there. Yeah, all the fires over there, Wait,

616
00:35:01,920 --> 00:35:02,880
Speaker 6: the fires over there.

617
00:35:03,360 --> 00:35:03,600
Speaker 1: Yeah.

618
00:35:03,840 --> 00:35:04,799
Speaker 5: My ex husbands used.

619
00:35:04,719 --> 00:35:09,879
Speaker 1: To do that, right with literal smoke you've mainly been

620
00:35:10,320 --> 00:35:12,360
Speaker 1: married to I would be like, I would.

621
00:35:12,200 --> 00:35:14,839
Speaker 5: Be like, there's a smoke bomb. You're like, look over there,

622
00:35:15,000 --> 00:35:16,239
Speaker 5: and I'm like, I'm still right here.

623
00:35:16,280 --> 00:35:19,839
Speaker 6: I'm not moving my gaze. Man, my days stays right

624
00:35:19,840 --> 00:35:22,319
Speaker 6: here where it should be. But is that that's the

625
00:35:22,400 --> 00:35:27,080
Speaker 6: tactic and it's just really stupidly tried and true type.

626
00:35:26,880 --> 00:35:32,960
Speaker 1: Of typical tact. Yeah. Even Representative Andy Ogles, which that

627
00:35:33,000 --> 00:35:34,400
Speaker 1: can't be a real name, but we'll go with it.

628
00:35:34,440 --> 00:35:38,319
Speaker 1: On Thursday, accused Turner of having ulterior motives, citing the

629
00:35:38,320 --> 00:35:41,200
Speaker 1: battle over both funding for Ukraine and a bill to

630
00:35:41,320 --> 00:35:44,879
Speaker 1: reauthorize the nation's warrant less spy powers, each of which

631
00:35:45,160 --> 00:35:49,719
Speaker 1: has raised some opposition. By the way, Andy Ogles is

632
00:35:49,800 --> 00:35:54,080
Speaker 1: a Republican from Tennessee, so he's like in this guy's

633
00:35:54,120 --> 00:35:58,080
Speaker 1: party and he's like, guys, this is for real. This

634
00:35:58,160 --> 00:36:01,319
Speaker 1: is dumb. And they said, yeah, for real, this is dumb.

635
00:36:01,920 --> 00:36:03,600
Speaker 1: But that's really you.

636
00:36:03,600 --> 00:36:05,880
Speaker 5: Gotta assume that there's always some truth in these things.

637
00:36:06,440 --> 00:36:08,879
Speaker 1: Yeah, I mean the intelligence.

638
00:36:08,320 --> 00:36:11,000
Speaker 5: It's still smoke, like there's still something happening.

639
00:36:11,480 --> 00:36:17,120
Speaker 1: It definitely. It created a new action movie in my

640
00:36:17,239 --> 00:36:21,759
Speaker 1: mind where we're like blowing each other's satellites out of

641
00:36:21,800 --> 00:36:26,160
Speaker 1: the sky and it's like satellite wars and it is

642
00:36:27,200 --> 00:36:33,919
Speaker 1: tyrese and ludicrous. In a car that has been Yes,

643
00:36:34,600 --> 00:36:36,839
Speaker 1: like something similar happens in one of the Fast and

644
00:36:36,880 --> 00:36:41,239
Speaker 1: Furious movies, but they instead of blowing a satellite up

645
00:36:41,239 --> 00:36:46,960
Speaker 1: with uh nuke, they drive into space in a car and.

646
00:36:47,640 --> 00:36:48,439
Speaker 4: It is still a car.

647
00:36:48,600 --> 00:36:51,160
Speaker 3: It's important to note it's not a plane, it's not

648
00:36:51,239 --> 00:36:53,560
Speaker 3: a satellite. It is a car, so it still fits

649
00:36:53,560 --> 00:36:59,480
Speaker 3: in vital There's a there's a show on by the way.

650
00:36:59,600 --> 00:37:00,960
Speaker 3: I love that, Like you have me as a co

651
00:37:01,000 --> 00:37:03,239
Speaker 3: host and all my expertise is from someone who just

652
00:37:03,280 --> 00:37:04,640
Speaker 3: got an Apple Plus subscription.

653
00:37:05,040 --> 00:37:07,719
Speaker 1: But on.

654
00:37:09,560 --> 00:37:13,080
Speaker 3: Season two where it's called for All Mankind and the

655
00:37:13,120 --> 00:37:17,919
Speaker 3: premise is if the Soviets won the space race.

656
00:37:18,239 --> 00:37:21,320
Speaker 1: Yeah, and we've had already on the show before. Yeah.

657
00:37:21,400 --> 00:37:23,480
Speaker 3: I really really like it. And it's kind of a

658
00:37:23,600 --> 00:37:27,080
Speaker 3: vehicle to There are some like corny parts where like

659
00:37:27,200 --> 00:37:31,799
Speaker 3: Ted Kennedy becomes president because chap equittic doesn't happen because

660
00:37:31,800 --> 00:37:33,320
Speaker 3: of like a scheduling issue.

661
00:37:33,200 --> 00:37:37,360
Speaker 4: Yeah, but uh, it is a similar premise.

662
00:37:37,440 --> 00:37:39,600
Speaker 3: I think like later in the show there might be

663
00:37:40,040 --> 00:37:43,320
Speaker 3: uh nuke nukean space situation or whatever.

664
00:37:43,440 --> 00:37:44,640
Speaker 4: But it is a good show.

665
00:37:44,680 --> 00:37:48,600
Speaker 3: It sounds like a total bullshit boring premise like okay,

666
00:37:49,600 --> 00:37:50,400
Speaker 3: but it's good.

667
00:37:50,680 --> 00:37:52,480
Speaker 5: Did you see what you leave the world behind?

668
00:37:53,360 --> 00:37:55,840
Speaker 4: Yeah, no, but we talked about.

669
00:37:57,120 --> 00:37:59,520
Speaker 5: I'm sorry, I actually had to look up the name

670
00:37:59,560 --> 00:38:03,120
Speaker 5: because I just notice the the Amahashar Ali, that Beautiful

671
00:38:03,160 --> 00:38:06,200
Speaker 5: Man and the Obama movie, and I was that's exactly

672
00:38:06,200 --> 00:38:08,319
Speaker 5: the promise. The satellites are out and it throws the

673
00:38:08,320 --> 00:38:10,480
Speaker 5: world into complete chaos and planes fall out of the

674
00:38:10,480 --> 00:38:13,040
Speaker 5: sky and it's it's horrifying.

675
00:38:13,600 --> 00:38:16,440
Speaker 1: Yeah, what plan is that? What would happen if the

676
00:38:16,480 --> 00:38:19,600
Speaker 1: satellites went out? They would just be like, well, there

677
00:38:19,680 --> 00:38:24,960
Speaker 1: goes that. Guys. We were really dependent on the satellite

678
00:38:25,040 --> 00:38:27,200
Speaker 1: up here in the flight decks, so we're just gonna

679
00:38:27,239 --> 00:38:29,520
Speaker 1: take her down rapidly.

680
00:38:29,719 --> 00:38:33,160
Speaker 5: We don't know how to fly this thing. We're just

681
00:38:33,280 --> 00:38:36,360
Speaker 5: here for to make y'all feel better.

682
00:38:36,960 --> 00:38:37,920
Speaker 1: Yeah, I don't know.

683
00:38:37,960 --> 00:38:41,239
Speaker 3: The satellites are magnets that keep the planes up in

684
00:38:41,280 --> 00:38:43,360
Speaker 3: the air, right is that movie?

685
00:38:43,680 --> 00:38:45,840
Speaker 1: Seems like it was very full of shit to me,

686
00:38:45,960 --> 00:38:47,560
Speaker 1: But well.

687
00:38:47,360 --> 00:38:54,360
Speaker 5: Yeah, we're still scary, still scary, don't be little the fears.

688
00:38:54,520 --> 00:38:57,080
Speaker 1: All right, So, speaking of the difference between like real

689
00:38:57,160 --> 00:39:02,840
Speaker 1: fears and bullshit fears, we got but this new glimpse

690
00:39:02,880 --> 00:39:07,760
Speaker 1: of the future with AI, where America is using AI

691
00:39:07,960 --> 00:39:12,640
Speaker 1: to continue to innovate new and exciting ways to make

692
00:39:12,840 --> 00:39:16,760
Speaker 1: life miserable for the most vulnerable people in our country,

693
00:39:17,320 --> 00:39:22,120
Speaker 1: and that in this instance that means soul crushing hurdles

694
00:39:22,160 --> 00:39:25,280
Speaker 1: for people to jump through in order to simply apply

695
00:39:25,640 --> 00:39:30,600
Speaker 1: to work for McDonald's. So companies like FedEx, McDonald's and Darden,

696
00:39:31,160 --> 00:39:34,600
Speaker 1: who is the company the restaurant group that you know

697
00:39:34,680 --> 00:39:39,280
Speaker 1: has olive Garden, et cetera, are all clients of Paradox

698
00:39:39,800 --> 00:39:43,520
Speaker 1: dot ai, a tech startup that helps them out with

699
00:39:43,640 --> 00:39:50,360
Speaker 1: the hiring process. And it's got so it asks applicants

700
00:39:50,640 --> 00:39:54,880
Speaker 1: to go through a lengthy and completely baffling personality test

701
00:39:55,400 --> 00:40:01,439
Speaker 1: starring a blue humanoid alien named Ash, and as one

702
00:40:01,520 --> 00:40:05,360
Speaker 1: applicant complained, I'm Reddit quote man, I just want a

703
00:40:05,400 --> 00:40:08,040
Speaker 1: dishwasher job. Why?

704
00:40:08,760 --> 00:40:11,720
Speaker 4: Why this is this shit?

705
00:40:12,840 --> 00:40:15,160
Speaker 1: So, as outlined in an article I'm for for media,

706
00:40:15,200 --> 00:40:19,240
Speaker 1: the test consists of images featuring Ash in a variety

707
00:40:19,239 --> 00:40:22,520
Speaker 1: of situations and you have to click on one of

708
00:40:22,600 --> 00:40:27,719
Speaker 1: two boxes, either me or not me. And some of

709
00:40:27,760 --> 00:40:31,239
Speaker 1: the images like make sense within the context of a

710
00:40:31,320 --> 00:40:34,560
Speaker 1: job application, like there's one in which Ash is being

711
00:40:34,600 --> 00:40:37,520
Speaker 1: yelled at by a customer. Also a blue humanoid alien

712
00:40:37,920 --> 00:40:40,880
Speaker 1: kind of looks like if Pixar made an Avatar movie

713
00:40:41,320 --> 00:40:45,200
Speaker 1: set entirely inside an olive garden and it was like

714
00:40:45,239 --> 00:40:50,040
Speaker 1: the year nineteen ninety one, because the you know, humanoid aliens, aren't.

715
00:40:49,880 --> 00:40:53,120
Speaker 4: I agree that? Second what you just said, I would

716
00:40:53,160 --> 00:40:53,880
Speaker 4: I would watch that.

717
00:40:54,360 --> 00:40:59,839
Speaker 1: Yeah, yeah, there you go, Jones. But so you have

718
00:40:59,880 --> 00:41:02,719
Speaker 1: to answer it's like, what does this say not much

719
00:41:02,800 --> 00:41:05,840
Speaker 1: bothers me me or not me? I think we know

720
00:41:05,880 --> 00:41:08,759
Speaker 1: the answer to that one, right, Like that's yes. If

721
00:41:08,800 --> 00:41:11,359
Speaker 1: you've if you've had to just like as a personality

722
00:41:11,440 --> 00:41:14,400
Speaker 1: test for a job interview before, Yeah, no, that's me.

723
00:41:14,520 --> 00:41:18,600
Speaker 1: Nothing bothers me. I like, actually people screaming in my

724
00:41:18,680 --> 00:41:22,160
Speaker 1: face that's my food. That's actually how I you know,

725
00:41:22,160 --> 00:41:25,080
Speaker 1: how can kong our screams?

726
00:41:25,719 --> 00:41:30,400
Speaker 4: And yeah, so you have bas yeah.

727
00:41:30,440 --> 00:41:34,000
Speaker 1: Right, no need for gigantic bananas because you just feed

728
00:41:34,040 --> 00:41:38,200
Speaker 1: me your customer's derision and that is what gets me

729
00:41:38,239 --> 00:41:39,680
Speaker 1: through the day.

730
00:41:41,800 --> 00:41:51,480
Speaker 3: Yeah, third option, yes, endless, but you have bottomless Karens.

731
00:41:56,040 --> 00:42:03,640
Speaker 1: Yes. Other images are like kind of existential and just

732
00:42:03,680 --> 00:42:06,319
Speaker 1: like kind of random feeling, like one where Ash has

733
00:42:06,400 --> 00:42:10,239
Speaker 1: fallen off a bicycle that is science like a sci

734
00:42:10,239 --> 00:42:13,440
Speaker 1: fi bicycle like one of the wheels doesn't have spokes

735
00:42:13,480 --> 00:42:17,000
Speaker 1: on it. It seems like and hurt his knee, accompanied

736
00:42:17,000 --> 00:42:22,520
Speaker 1: by the caption things happen to me me not me.

737
00:42:23,880 --> 00:42:28,239
Speaker 1: I mean, I don't know how you could possibly take

738
00:42:28,280 --> 00:42:33,280
Speaker 1: an answer to that question and hold it either against

739
00:42:33,360 --> 00:42:35,800
Speaker 1: someone or like for them.

740
00:42:35,480 --> 00:42:38,360
Speaker 4: Like I can. It's very clear.

741
00:42:39,120 --> 00:42:42,359
Speaker 3: So if you you don't want to hire someone who

742
00:42:42,560 --> 00:42:45,200
Speaker 3: just shit happens to them all the time, like it's

743
00:42:45,200 --> 00:42:48,840
Speaker 3: a liability. People can fall off bikes, like when something

744
00:42:48,920 --> 00:42:53,400
Speaker 3: happens to you, Jack, it's your fault. Does that make sense?

745
00:42:53,480 --> 00:42:56,600
Speaker 1: So things don't happen to me. I go through the

746
00:42:56,640 --> 00:43:00,640
Speaker 1: world dominating everything I see, and that is what's going

747
00:43:00,719 --> 00:43:04,000
Speaker 1: to make me a good dishwasher at Olive Garden.

748
00:43:04,200 --> 00:43:07,080
Speaker 5: And you're not going to call you fell off your bike.

749
00:43:07,880 --> 00:43:10,560
Speaker 3: That's correct, That's correct, bikes.

750
00:43:10,880 --> 00:43:12,120
Speaker 1: Things happened to me.

751
00:43:12,880 --> 00:43:13,399
Speaker 4: Things happen.

752
00:43:13,400 --> 00:43:15,880
Speaker 1: It's like such a philosophical question.

753
00:43:16,320 --> 00:43:20,880
Speaker 5: It's really personality of them.

754
00:43:20,920 --> 00:43:24,280
Speaker 1: We will get to that. It is complete guard Yeah,

755
00:43:24,320 --> 00:43:26,280
Speaker 1: but it's just like I'm just trying to put myself

756
00:43:26,280 --> 00:43:30,000
Speaker 1: in the position of like the poor fucking people. And

757
00:43:30,120 --> 00:43:32,840
Speaker 1: also like you're going to a website that says like

758
00:43:32,920 --> 00:43:35,400
Speaker 1: dot ai so you're like, oh, this is like some

759
00:43:35,560 --> 00:43:39,520
Speaker 1: next level like computer mind ship where I'm it's like

760
00:43:39,880 --> 00:43:44,040
Speaker 1: judging me and telling me like I'm worthy or not worthy,

761
00:43:44,520 --> 00:43:48,359
Speaker 1: and like somehow there's a blue humanoid alien involved. It's

762
00:43:48,480 --> 00:43:53,160
Speaker 1: just it's like this extra little mind fuck to make

763
00:43:53,200 --> 00:43:55,879
Speaker 1: the thing seem impressive.

764
00:43:56,200 --> 00:44:00,760
Speaker 3: I guess I mean smart. Yeah, like that's that's what it's.

765
00:44:00,880 --> 00:44:02,960
Speaker 3: Oh so I'm actually done. It makes you feel even

766
00:44:03,000 --> 00:44:06,400
Speaker 3: more inadequate, probably because there's also you know, it's like

767
00:44:06,440 --> 00:44:12,239
Speaker 3: financial literacy, also internet literacy, and these questions where the

768
00:44:12,239 --> 00:44:14,640
Speaker 3: these poor applicants are going to get just so in

769
00:44:14,680 --> 00:44:16,480
Speaker 3: their head, and not only is it going to be

770
00:44:16,480 --> 00:44:19,760
Speaker 3: a nightmare experience to get the end goal of getting

771
00:44:19,840 --> 00:44:22,839
Speaker 3: a job, they also are going to not feel as

772
00:44:22,960 --> 00:44:25,440
Speaker 3: good about themselves and it's going to cause more stress

773
00:44:25,480 --> 00:44:27,000
Speaker 3: in an already stressful situation.

774
00:44:27,400 --> 00:44:30,200
Speaker 4: This is a bomber, that's what.

775
00:44:30,120 --> 00:44:33,560
Speaker 5: They're trying to do. Yeah, there's always watching you. That's

776
00:44:33,560 --> 00:44:34,760
Speaker 5: what they're trying to make you feel.

777
00:44:34,840 --> 00:44:41,479
Speaker 1: Like, brother sound cool though you call them man's a scion? Yeah,

778
00:44:42,120 --> 00:44:48,120
Speaker 1: brother a brother? The brother. The images are probably AI

779
00:44:48,280 --> 00:44:52,160
Speaker 1: generated and that's basically all is that is AI about

780
00:44:52,160 --> 00:44:54,160
Speaker 1: this Because the test seems to be just a good

781
00:44:54,160 --> 00:44:58,439
Speaker 1: old fashioned personality test, relying on the ocean model, which

782
00:44:58,520 --> 00:45:02,359
Speaker 1: was created back in the eighties, and the big five

783
00:45:02,480 --> 00:45:08,239
Speaker 1: categories they say matter, like why it's called ocean is openness, conscientiousness,

784
00:45:08,480 --> 00:45:13,279
Speaker 1: extra version, agreeableness, and neuroticism. You don't want to score

785
00:45:13,320 --> 00:45:15,960
Speaker 1: big on the neuroticism scale. I'll tell you that.

786
00:45:15,920 --> 00:45:18,640
Speaker 5: If it's a detailer into job, Oh you do?

787
00:45:18,840 --> 00:45:23,080
Speaker 1: Oh shit, yeah, I've just that. No wonder, I have

788
00:45:23,440 --> 00:45:26,600
Speaker 1: I need one failed, No wonder. I was the worst

789
00:45:26,680 --> 00:45:29,440
Speaker 1: waiter of all time. I was actually a pretty good

790
00:45:29,440 --> 00:45:34,200
Speaker 1: dishwasher though, and a pretty good butler, but could not. Yeah,

791
00:45:34,480 --> 00:45:36,360
Speaker 1: fucking sucked at being a waiter.

792
00:45:37,640 --> 00:45:39,600
Speaker 4: You've been too hard on yourself. I'm sure you were fine.

793
00:45:39,680 --> 00:45:39,719
Speaker 3: You.

794
00:45:39,840 --> 00:45:40,920
Speaker 5: I was going to say, if you were could be

795
00:45:40,960 --> 00:45:43,440
Speaker 5: a good butler, you had have to have been a

796
00:45:43,480 --> 00:45:44,840
Speaker 5: good server.

797
00:45:45,600 --> 00:45:47,960
Speaker 1: Better than a I was a better butler than a waiter,

798
00:45:48,440 --> 00:45:51,440
Speaker 1: but not a very good not very good at that either.

799
00:45:51,600 --> 00:45:55,480
Speaker 1: There was one time where a woman was like, all right,

800
00:45:55,560 --> 00:45:58,040
Speaker 1: we have a wedding, Like I need you to iron

801
00:45:58,120 --> 00:46:00,440
Speaker 1: this for me. And I brought it back and she

802
00:46:00,560 --> 00:46:04,799
Speaker 1: was like, could you bring me the iron? And just

803
00:46:05,320 --> 00:46:07,799
Speaker 1: and then let me watch her do it. She was like,

804
00:46:08,200 --> 00:46:11,760
Speaker 1: you should watch this. Say you're being better at this. Yeah,

805
00:46:11,880 --> 00:46:12,520
Speaker 1: you suck at this.

806
00:46:13,640 --> 00:46:16,120
Speaker 3: You are butler, because I just accepted that as a

807
00:46:16,120 --> 00:46:17,840
Speaker 3: normal answer, that you were a butler in.

808
00:46:17,840 --> 00:46:21,520
Speaker 1: The concierge at a British hotel.

809
00:46:21,840 --> 00:46:23,000
Speaker 5: Butler, of course.

810
00:46:23,320 --> 00:46:28,439
Speaker 1: Yeah, it's like a bel at a British hotel. Is Yeah,

811
00:46:29,160 --> 00:46:34,000
Speaker 1: the butler you have resting butler face, my mouth is

812
00:46:34,040 --> 00:46:36,960
Speaker 1: always like a little us.

813
00:46:37,600 --> 00:46:41,400
Speaker 5: It's a different RBF and he's got it correct.

814
00:46:41,480 --> 00:46:45,000
Speaker 1: But yeah. So the actual AI offered by the company

815
00:46:45,560 --> 00:46:48,960
Speaker 1: is actually a chat bot named other than the cool

816
00:46:49,320 --> 00:46:52,560
Speaker 1: ash pictures that accompany the test, a chat bot named

817
00:46:52,560 --> 00:46:57,480
Speaker 1: Olivia who takes applicants through the application process, helps hiring

818
00:46:57,520 --> 00:47:01,880
Speaker 1: managers filter through applicants and schedule inner views and is uh.

819
00:47:01,960 --> 00:47:03,960
Speaker 1: And you're going to be shocked to hear this if

820
00:47:03,960 --> 00:47:08,000
Speaker 1: you've ever used like a non human assistant is fucking

821
00:47:08,120 --> 00:47:09,279
Speaker 1: terrible at their job.

822
00:47:12,239 --> 00:47:15,080
Speaker 3: Yeah, I'm sorry, I didn't understand that. I'm sorry I

823
00:47:15,080 --> 00:47:17,560
Speaker 3: didn't understand that. I'm sorry I didn't understand that. It's

824
00:47:17,560 --> 00:47:19,480
Speaker 3: just the same message you get over and over and

825
00:47:19,520 --> 00:47:21,520
Speaker 3: over again. God forbid, you have a person a job.

826
00:47:21,920 --> 00:47:25,799
Speaker 1: Yeah, to do it. I'll start believing in this technology

827
00:47:25,880 --> 00:47:27,960
Speaker 1: when I'm on a phone tree and like my brain

828
00:47:28,160 --> 00:47:32,680
Speaker 1: doesn't immediately be like operator operator, can I have it?

829
00:47:32,920 --> 00:47:34,920
Speaker 1: Let me speak to a human please? Could I speak?

830
00:47:35,239 --> 00:47:38,719
Speaker 4: Yeah, I've just never things are happening to me. These

831
00:47:38,760 --> 00:47:41,840
Speaker 4: things are happening to me right now. This is what

832
00:47:41,840 --> 00:47:42,600
Speaker 4: I'm talking about.

833
00:47:43,080 --> 00:47:48,600
Speaker 5: Yes, I listen, it's this two things psych it's it's

834
00:47:48,680 --> 00:47:51,719
Speaker 5: biah in this. This is not smart. This is not

835
00:47:51,760 --> 00:47:53,880
Speaker 5: smart stuff. Come on people, come on.

836
00:47:54,560 --> 00:47:54,759
Speaker 1: Look.

837
00:47:54,800 --> 00:47:58,080
Speaker 6: There's a sales guy from the tech company who goes

838
00:47:58,120 --> 00:48:01,279
Speaker 6: to Mickeyd's headquarters and oh, guys, I got this new

839
00:48:01,320 --> 00:48:03,239
Speaker 6: technology and you really need to and it really help

840
00:48:03,280 --> 00:48:04,880
Speaker 6: you with your bottom b BOVA And it's all a

841
00:48:04,880 --> 00:48:06,960
Speaker 6: bunch of BS numbers and they're like, well that's cool,

842
00:48:07,080 --> 00:48:07,799
Speaker 6: sign us up.

843
00:48:08,160 --> 00:48:09,480
Speaker 5: This is this is all it is.

844
00:48:09,800 --> 00:48:16,680
Speaker 1: Yeah, it's amusing but sad to that point, Paradox is

845
00:48:16,800 --> 00:48:20,200
Speaker 1: valued at one point five billion dollars, and yet most

846
00:48:20,200 --> 00:48:23,000
Speaker 1: of these hiring chatbots are not even as advanced or

847
00:48:23,040 --> 00:48:27,719
Speaker 1: elaborate as chat GPT. They are rudimentary and can only

848
00:48:27,760 --> 00:48:29,480
Speaker 1: ask basic questions.

849
00:48:29,400 --> 00:48:30,480
Speaker 4: So brutal.

850
00:48:31,239 --> 00:48:36,799
Speaker 1: Yeah, it's just a blue humanoid alien gloss on the

851
00:48:36,840 --> 00:48:40,879
Speaker 1: same shit that's been happening, and everybody is recognized. If

852
00:48:40,880 --> 00:48:44,799
Speaker 1: you throw AI on it, it's gonna it's gonna sell

853
00:48:45,080 --> 00:48:48,760
Speaker 1: Your salespeople are gonna have a much easier time selling

854
00:48:48,800 --> 00:48:50,359
Speaker 1: it because everybody's just like.

855
00:48:50,400 --> 00:48:53,040
Speaker 5: Wow, if you want me to not like you right away,

856
00:48:53,960 --> 00:48:56,319
Speaker 5: do one of them say, oh, what's your what's your

857
00:48:56,360 --> 00:49:00,239
Speaker 5: personality test? Or what's your what's your your ocean westa

858
00:49:00,280 --> 00:49:03,680
Speaker 5: blah blah blah. That's actually happened, Actually had people do that. Yeah,

859
00:49:03,880 --> 00:49:07,440
Speaker 5: I'd rather you ask me my goddamn sign. Yeah, like

860
00:49:07,680 --> 00:49:11,720
Speaker 5: just don't Yeah bad, I'm sorry.

861
00:49:12,000 --> 00:49:14,400
Speaker 1: Yeah no, It's it's all bullshit, And there is like

862
00:49:14,560 --> 00:49:19,480
Speaker 1: interesting stuff being done in AI, Like I think right

863
00:49:19,520 --> 00:49:22,439
Speaker 1: now they're trying to like, you know, they figured out

864
00:49:22,520 --> 00:49:25,440
Speaker 1: the folding of like how proteins are folded. That is

865
00:49:25,480 --> 00:49:29,160
Speaker 1: still the thing that I'm going to like AI. It

866
00:49:29,200 --> 00:49:34,000
Speaker 1: has solved a scientific medical issue that is going to

867
00:49:34,800 --> 00:49:38,759
Speaker 1: help scientists cure disease. So great, it was all worth it.

868
00:49:39,239 --> 00:49:42,080
Speaker 1: But it's just once it gets into the level of

869
00:49:42,360 --> 00:49:46,279
Speaker 1: if a salesperson is trying to sell it, then you're

870
00:49:46,400 --> 00:49:50,120
Speaker 1: probably fucked in some way. It's not like trying to

871
00:49:50,200 --> 00:49:55,080
Speaker 1: solve a existing problem, like I don't know death. Yeah,

872
00:49:55,160 --> 00:49:58,319
Speaker 1: it's not gonna be good. There's also a new one

873
00:49:58,360 --> 00:50:01,320
Speaker 1: that I just read about where they're trying an AI

874
00:50:01,440 --> 00:50:05,759
Speaker 1: is trying to figure out how to translate smell like

875
00:50:06,320 --> 00:50:09,640
Speaker 1: a so a computer can like evaluate a smell of

876
00:50:09,719 --> 00:50:13,000
Speaker 1: bananas so they can create more realistic banana breath for

877
00:50:13,239 --> 00:50:19,520
Speaker 1: kinch kanj. Yeah, but uh, like that smell is actually

878
00:50:20,320 --> 00:50:22,400
Speaker 1: like if you've ever seen dogs who can like smell

879
00:50:22,440 --> 00:50:28,000
Speaker 1: cancer and like like various diseases have sense and so

880
00:50:28,640 --> 00:50:31,719
Speaker 1: it would be like an amazing breakthrough. It would be

881
00:50:31,800 --> 00:50:35,080
Speaker 1: like basically what Theoryannose was promising with like just a

882
00:50:35,160 --> 00:50:37,280
Speaker 1: tiny bit of blakes if you don't need any blood,

883
00:50:37,320 --> 00:50:39,879
Speaker 1: it just like comes up and kind of you get

884
00:50:39,920 --> 00:50:45,279
Speaker 1: sniffed by a robot. So it seems a little unnerving,

885
00:50:45,440 --> 00:50:49,200
Speaker 1: but where Yeah that's a good point.

886
00:50:49,520 --> 00:50:51,680
Speaker 4: Yeah, that's a good points.

887
00:50:52,239 --> 00:50:55,320
Speaker 5: I take it back as long as it's not anthropomor.

888
00:50:55,719 --> 00:51:00,320
Speaker 1: Yeah, yeah it's kmre comre. Let me me get a

889
00:51:00,320 --> 00:51:02,000
Speaker 1: whiffy you.

890
00:51:03,160 --> 00:51:07,160
Speaker 4: This is a thing is an object. Why'd you make

891
00:51:07,200 --> 00:51:07,760
Speaker 4: it a person?

892
00:51:09,200 --> 00:51:11,000
Speaker 1: Get over here, Let me get a good whiff of you.

893
00:51:12,480 --> 00:51:13,680
Speaker 4: Why is its voice so low?

894
00:51:15,120 --> 00:51:17,080
Speaker 1: The smelly gets smoked cigarettes.

895
00:51:17,360 --> 00:51:20,080
Speaker 4: Yeah, all right, Uh, let's take a quick.

896
00:51:19,840 --> 00:51:23,359
Speaker 1: Break and we'll come back and talk about Tesla. Will

897
00:51:23,400 --> 00:51:23,959
Speaker 1: be right back.

898
00:51:24,160 --> 00:51:39,760
Speaker 7: We'll be right back, and we're back, and so cyber

899
00:51:39,840 --> 00:51:42,160
Speaker 7: trucks are already, you know.

900
00:51:42,200 --> 00:51:44,520
Speaker 1: They finally shipped about a month and a half ago,

901
00:51:45,280 --> 00:51:48,520
Speaker 1: started selling to a lot of Elum fan boys, started

902
00:51:48,520 --> 00:51:51,920
Speaker 1: selling above sticker being traded on stock x like they

903
00:51:51,920 --> 00:51:55,360
Speaker 1: were a pair of sneakers. But now people are pointing out,

904
00:51:55,400 --> 00:51:57,440
Speaker 1: like now now they've had a little time to spend

905
00:51:57,440 --> 00:52:01,400
Speaker 1: with them, that this machine that was supposed to be

906
00:52:01,400 --> 00:52:05,600
Speaker 1: able to handle torrents of gunfire cannot stand up to

907
00:52:06,040 --> 00:52:10,840
Speaker 1: a little bit of rain. Unfortunately, they've been complaining on

908
00:52:10,960 --> 00:52:14,359
Speaker 1: forums about small orange flex appearing on the car after

909
00:52:14,480 --> 00:52:17,239
Speaker 1: driving it in the rain for Oh but this is

910
00:52:17,320 --> 00:52:19,719
Speaker 1: I mean, how how is a car supposed to be

911
00:52:19,719 --> 00:52:21,520
Speaker 1: able to stand up for They were driving on the

912
00:52:21,560 --> 00:52:25,840
Speaker 1: rain for two days. I mean, come on, guys, cars

913
00:52:25,880 --> 00:52:27,759
Speaker 1: can't hold Oh wait no, I was thinking that's a

914
00:52:28,400 --> 00:52:31,920
Speaker 1: that's a tissue box. Can't stand to be outside for

915
00:52:31,960 --> 00:52:32,399
Speaker 1: two days.

916
00:52:32,440 --> 00:52:34,560
Speaker 4: You make that mistake all the time.

917
00:52:34,800 --> 00:52:39,080
Speaker 1: God friendship, Yeah, I need to get the need to

918
00:52:39,120 --> 00:52:41,959
Speaker 1: put the poster back up that has car tissue box.

919
00:52:42,280 --> 00:52:46,160
Speaker 1: But yeah, so this is as a result of its

920
00:52:46,280 --> 00:52:51,480
Speaker 1: unusual stainless steel exoskeleton, which it also has a trouble

921
00:52:51,480 --> 00:52:56,759
Speaker 1: with stains. The owner's manual mentions the possibility of corrosion

922
00:52:57,320 --> 00:53:01,080
Speaker 1: with a surprisingly quote fussy and the skyde for a

923
00:53:01,120 --> 00:53:05,000
Speaker 1: car that looks like it belongs to RoboCop, requiring drivers

924
00:53:05,040 --> 00:53:12,319
Speaker 1: to immediately remove corrosive substances like grease, oil, bird droppings,

925
00:53:12,560 --> 00:53:19,880
Speaker 1: tree resin, dead insects, tar spots, road salt, industrial fallout,

926
00:53:20,480 --> 00:53:20,960
Speaker 1: et cetera.

927
00:53:22,080 --> 00:53:23,280
Speaker 5: So never leave the garage.

928
00:53:23,600 --> 00:53:27,799
Speaker 1: Yes, this is like this feels like have you ever

929
00:53:27,880 --> 00:53:32,240
Speaker 1: like gotten a really expensive pair of shoes or like

930
00:53:32,239 --> 00:53:34,640
Speaker 1: like a really nice shirt and then you're just like

931
00:53:34,800 --> 00:53:37,960
Speaker 1: terrified to wear it like that. It's that if you

932
00:53:38,040 --> 00:53:41,320
Speaker 1: were like driving that shirt, driving around with that shirt

933
00:53:41,360 --> 00:53:45,719
Speaker 1: on the outside of your car, like there really well done.

934
00:53:45,719 --> 00:53:48,719
Speaker 5: It's supposed to be well made. It could lass you forever.

935
00:53:49,280 --> 00:53:53,480
Speaker 1: Yeah, that's the whole point, right. There's this substance on

936
00:53:53,520 --> 00:53:57,520
Speaker 1: the exterior of cars that's called the orange peel. That

937
00:53:57,719 --> 00:54:03,440
Speaker 1: is like this thick layer of plastic that is the

938
00:54:03,520 --> 00:54:06,120
Speaker 1: thing that makes your car glossy, and it's the thing

939
00:54:06,200 --> 00:54:10,000
Speaker 1: that keeps your you know, the metal on your car

940
00:54:10,239 --> 00:54:15,760
Speaker 1: separated from the elements. And it's one of those things

941
00:54:15,800 --> 00:54:19,040
Speaker 1: that I'm sure Elon Musk didn't fuck with because he

942
00:54:19,080 --> 00:54:21,719
Speaker 1: wanted the car to look like it was from the future.

943
00:54:22,239 --> 00:54:26,480
Speaker 1: But it existed all these years for a reason. It

944
00:54:26,520 --> 00:54:31,280
Speaker 1: turns out like that you can't just have the metal

945
00:54:31,360 --> 00:54:33,680
Speaker 1: that's inside the car just on the outside of the car.

946
00:54:33,719 --> 00:54:36,759
Speaker 1: It's going to look like a rusted out piece of

947
00:54:36,760 --> 00:54:38,000
Speaker 1: shit pretty soon.

948
00:54:39,080 --> 00:54:41,680
Speaker 5: You know, I mean, is that what it is?

949
00:54:41,920 --> 00:54:47,480
Speaker 1: Maybe you know, yeah, some some may say, some may say,

950
00:54:47,680 --> 00:54:49,719
Speaker 1: but it says you have to like remove the like

951
00:54:50,040 --> 00:54:54,080
Speaker 1: remove a dead bug immediately from your car. Is like

952
00:54:54,239 --> 00:54:58,160
Speaker 1: so stressful. I can't imagine having pull over, pull over

953
00:54:58,480 --> 00:55:02,000
Speaker 1: over or bankrupt.

954
00:55:02,320 --> 00:55:07,040
Speaker 5: Happens sat listen, nobody looks cool in that thing.

955
00:55:08,760 --> 00:55:10,040
Speaker 1: I think they look.

956
00:55:10,160 --> 00:55:12,880
Speaker 5: No, no, no no.

957
00:55:12,920 --> 00:55:16,239
Speaker 3: If I get a couple of sit ups, I think

958
00:55:16,280 --> 00:55:19,640
Speaker 3: if I drove it shirtless, I could probably pull it off.

959
00:55:20,080 --> 00:55:22,000
Speaker 5: If you listen. If you're going to get a car

960
00:55:22,160 --> 00:55:25,160
Speaker 5: like that, you had better be full on looking like

961
00:55:25,280 --> 00:55:29,960
Speaker 5: freaking matrix. Okay, like please.

962
00:55:31,440 --> 00:55:31,960
Speaker 1: You to be.

963
00:55:33,640 --> 00:55:36,920
Speaker 5: To have a car that falls apart in the rain.

964
00:55:38,000 --> 00:55:42,880
Speaker 5: But something about bullets just dressed for the occasion. Please

965
00:55:43,560 --> 00:55:46,520
Speaker 5: entertain us, please with the full picture.

966
00:55:46,960 --> 00:55:47,560
Speaker 4: That's all I asked.

967
00:55:47,600 --> 00:55:51,120
Speaker 3: That is funny that it can repel bullets but not water.

968
00:55:52,000 --> 00:55:54,560
Speaker 3: It is a very It is.

969
00:55:54,600 --> 00:55:59,239
Speaker 1: Like the aliens and side poop.

970
00:55:59,800 --> 00:56:02,239
Speaker 5: They everything has a weakness.

971
00:56:02,600 --> 00:56:04,960
Speaker 1: Yeah, that would be a good that that should have

972
00:56:04,960 --> 00:56:07,280
Speaker 1: been the aliens and signs weakness, not water.

973
00:56:08,920 --> 00:56:10,359
Speaker 4: I thought you're gonna say they should have all been

974
00:56:10,400 --> 00:56:11,200
Speaker 4: cyber trucks.

975
00:56:12,000 --> 00:56:14,400
Speaker 1: They should have all been driving around in cyber trucks.

976
00:56:14,400 --> 00:56:17,000
Speaker 4: That would have been Yeah, that would have been crazy.

977
00:56:17,840 --> 00:56:20,640
Speaker 1: But yeah, now that the cyber truck owners are having

978
00:56:20,680 --> 00:56:26,200
Speaker 1: to take maintenance tips from people who owned another doomed

979
00:56:26,280 --> 00:56:31,720
Speaker 1: stainless steel vanity car, the DeLorean, and it's like, no, actually,

980
00:56:31,719 --> 00:56:33,560
Speaker 1: if you like do wind decks like the second after

981
00:56:33,640 --> 00:56:36,279
Speaker 1: you drive it for five minutes, you can actually keep

982
00:56:36,360 --> 00:56:38,839
Speaker 1: it looking pretty good. But you have to like keep

983
00:56:38,840 --> 00:56:41,520
Speaker 1: windecks with you and stop every two miles.

984
00:56:41,680 --> 00:56:42,600
Speaker 5: Oh my god.

985
00:56:43,040 --> 00:56:48,960
Speaker 3: Yeah, there's no passenger seats in it because it's the loneliest.

986
00:56:48,040 --> 00:56:50,880
Speaker 4: People in the world.

987
00:56:53,040 --> 00:56:56,440
Speaker 1: No need, It's.

988
00:56:56,840 --> 00:56:59,480
Speaker 6: Right, But also, you know, you want to see some

989
00:56:59,640 --> 00:57:02,319
Speaker 6: bad as bulletproof cars, all you gotta do is go

990
00:57:02,360 --> 00:57:03,080
Speaker 6: to South America.

991
00:57:03,160 --> 00:57:06,879
Speaker 5: Man, I they're everywhere. I mean I've seen them. They

992
00:57:07,040 --> 00:57:11,319
Speaker 5: look fire and trust me, they're gorgeous. The leather's fabulous,

993
00:57:11,360 --> 00:57:15,160
Speaker 5: and the drivers like buff and everyone looks fly. So

994
00:57:15,360 --> 00:57:16,120
Speaker 5: that's all you need.

995
00:57:16,560 --> 00:57:19,200
Speaker 4: Like that, Yeah, I'm in con me in.

996
00:57:21,160 --> 00:57:24,280
Speaker 1: Worth noting Tesla had the worst performance of any S

997
00:57:24,320 --> 00:57:26,960
Speaker 1: and P five hundred stock this year, So you know,

998
00:57:27,920 --> 00:57:31,120
Speaker 1: I don't know. It just feels like he's like the

999
00:57:31,280 --> 00:57:35,240
Speaker 1: stuff that has been evident to a lot of us

1000
00:57:35,280 --> 00:57:37,640
Speaker 1: who are paying attention for a long time. Like even

1001
00:57:38,280 --> 00:57:42,080
Speaker 1: the fanboys in the financial industry are starting to be like, wait,

1002
00:57:42,160 --> 00:57:44,280
Speaker 1: but like what if he doesn't know what the fuck

1003
00:57:44,320 --> 00:57:49,440
Speaker 1: he's talking about? What if this is all? Yeah, So anyways,

1004
00:57:50,120 --> 00:57:51,480
Speaker 1: we'll keep our eye on it.

1005
00:57:51,720 --> 00:57:52,840
Speaker 5: Have nothing good to say.

1006
00:57:52,960 --> 00:57:57,680
Speaker 1: This is market watch and uh market watch.

1007
00:57:57,920 --> 00:58:02,240
Speaker 4: Yeah, finally the podcases has made this pivot. The pivot that.

1008
00:58:03,920 --> 00:58:06,800
Speaker 5: That's what I'm talking about. Let's do it.

1009
00:58:07,600 --> 00:58:11,040
Speaker 3: We're gonna have someone reading a ticker throughout the entire Oh.

1010
00:58:11,080 --> 00:58:13,120
Speaker 5: I would have so much fun, you don't even know.

1011
00:58:13,280 --> 00:58:17,200
Speaker 5: I would give you the backstory of every CEO's some

1012
00:58:17,240 --> 00:58:19,520
Speaker 5: one of my favorite pastimes. CEO Jr.

1013
00:58:19,760 --> 00:58:25,000
Speaker 4: That's too interesting, too interesting, yeah, just numbers.

1014
00:58:25,480 --> 00:58:28,760
Speaker 1: Do you give us the craziest or most interesting story

1015
00:58:28,800 --> 00:58:32,680
Speaker 1: about an anonymous US CEO that you.

1016
00:58:32,200 --> 00:58:34,680
Speaker 5: Well, there's no a noon because everybody knows if I

1017
00:58:34,720 --> 00:58:38,600
Speaker 5: say anything, but it's all playing out. Look, look at

1018
00:58:38,600 --> 00:58:40,280
Speaker 5: go look at who was on the cover of Forbes.

1019
00:58:40,320 --> 00:58:42,240
Speaker 5: Forbes even has its own thing about how many people

1020
00:58:42,280 --> 00:58:45,400
Speaker 5: were on the cover of Forbes that are that were criminals?

1021
00:58:45,800 --> 00:58:46,240
Speaker 1: What right?

1022
00:58:47,120 --> 00:58:47,680
Speaker 4: Criminals?

1023
00:58:47,920 --> 00:58:53,080
Speaker 5: Bitcoin three us right. We work like we've seen all

1024
00:58:53,080 --> 00:58:55,919
Speaker 5: this stuff. And one of the biggest signs is when

1025
00:58:55,960 --> 00:58:59,720
Speaker 5: somebody comes in, like mister you know who and says

1026
00:59:00,240 --> 00:59:05,640
Speaker 5: they founded a company that they that's right off the bat.

1027
00:59:05,680 --> 00:59:08,280
Speaker 4: You know, this is trash, interesting, right.

1028
00:59:08,520 --> 00:59:12,240
Speaker 5: Trash because anybody with a personality, let's go back to personalities,

1029
00:59:12,320 --> 00:59:14,280
Speaker 5: anybody in the personality that says something like that is

1030
00:59:14,320 --> 00:59:17,040
Speaker 5: a dangerous person meaning dangerous like they'll take your money

1031
00:59:17,080 --> 00:59:18,000
Speaker 5: and they won't give a shit.

1032
00:59:19,160 --> 00:59:21,360
Speaker 1: So be careful, people, keep your ad on a swivel

1033
00:59:21,400 --> 00:59:23,840
Speaker 1: out there, people, while you're out there in this market,

1034
00:59:24,320 --> 00:59:28,200
Speaker 1: in this market world of ours. Carmen Rita Wang, what

1035
00:59:28,320 --> 00:59:31,880
Speaker 1: a pleasure having you on the daily zeitgeist? As always?

1036
00:59:32,160 --> 00:59:35,400
Speaker 1: Where can people find you? Follow you? All that good stuff?

1037
00:59:35,560 --> 00:59:38,040
Speaker 5: Always happy to be with you, guys. Blake, so nice

1038
00:59:38,040 --> 00:59:42,880
Speaker 5: to be with you. Yeah, you can get me at Instagram,

1039
00:59:42,960 --> 00:59:47,800
Speaker 5: off social all that. Carmen rita wongo dot com.

1040
00:59:48,280 --> 00:59:51,040
Speaker 1: And is there a work of media that you've been enjoying.

1041
00:59:51,640 --> 00:59:52,520
Speaker 5: That I've been enjoying.

1042
00:59:53,320 --> 00:59:56,320
Speaker 1: Yeah, let's talk about something about more media.

1043
00:59:56,400 --> 00:59:59,600
Speaker 5: Okay, this is this is my wheelhouse. I am a

1044
00:59:59,720 --> 01:00:05,760
Speaker 5: doom freak since the book, I will absorb anything done related.

1045
01:00:06,680 --> 01:00:11,920
Speaker 1: Wow, So should people where should people start book? It

1046
01:00:11,960 --> 01:00:13,360
Speaker 1: was my brother, my big brother and I.

1047
01:00:13,440 --> 01:00:15,760
Speaker 5: It's a real tattoo. My big brother and I were.

1048
01:00:16,440 --> 01:00:18,680
Speaker 5: We were the biggest dune heads when we were kids.

1049
01:00:18,920 --> 01:00:24,080
Speaker 5: So yeah, that's for him, not for Denny Villanuev the

1050
01:00:24,120 --> 01:00:26,840
Speaker 5: director or the bad movie from the eighties. But it's

1051
01:00:26,920 --> 01:00:27,680
Speaker 5: just great stuff.

1052
01:00:27,920 --> 01:00:28,800
Speaker 1: Do you like part one?

1053
01:00:29,400 --> 01:00:33,680
Speaker 5: I did like it a lot. Yeah, I like anything

1054
01:00:34,120 --> 01:00:37,400
Speaker 5: the director does, Bev, but this one. The buzz on

1055
01:00:37,440 --> 01:00:41,680
Speaker 5: the number two is that it is insane, like way

1056
01:00:41,720 --> 01:00:42,560
Speaker 5: above number one.

1057
01:00:43,520 --> 01:00:46,920
Speaker 1: Number one was like cool, but it felt like I

1058
01:00:46,920 --> 01:00:49,280
Speaker 1: think I think I also didn't know how much of it,

1059
01:00:49,520 --> 01:00:53,920
Speaker 1: like how to what degree it was like the first

1060
01:00:53,920 --> 01:00:55,280
Speaker 1: half of a movie, you know.

1061
01:00:55,640 --> 01:00:59,360
Speaker 5: Yeah, yeah it was, it was. But the second one

1062
01:00:59,400 --> 01:01:02,720
Speaker 5: is supposed to be bonkers, so I've got seats on

1063
01:01:02,760 --> 01:01:07,120
Speaker 5: the first night. I cannot wait. Yeah, And if you

1064
01:01:07,160 --> 01:01:09,800
Speaker 5: want to laugh a lot and have some fun, do

1065
01:01:09,840 --> 01:01:14,120
Speaker 5: it while you're inebriated. Watch the first movie done with

1066
01:01:14,280 --> 01:01:18,200
Speaker 5: Sting in a tiny little metal bikini pants.

1067
01:01:18,480 --> 01:01:23,919
Speaker 1: It's oh yeah, David Lynch, great bad, yeah, good good

1068
01:01:23,960 --> 01:01:29,640
Speaker 1: good bed Blake Wexler, Happy birthday to Blake, Happy.

1069
01:01:29,360 --> 01:01:32,360
Speaker 4: Birthday, birthday to you both.

1070
01:01:32,440 --> 01:01:35,720
Speaker 1: Where can people find you? Follow you, wish you happy birthday,

1071
01:01:35,840 --> 01:01:36,680
Speaker 1: all that good stuff.

1072
01:01:37,200 --> 01:01:39,400
Speaker 3: People can wish me happy birthday for the rest of

1073
01:01:39,400 --> 01:01:44,960
Speaker 3: the year until my completely honest at Blake Wexler. This

1074
01:01:45,000 --> 01:01:48,520
Speaker 3: is this food, folks, he this is my food. Nourish

1075
01:01:48,680 --> 01:01:51,600
Speaker 3: me with your birth, with my own birth. I don't

1076
01:01:51,640 --> 01:01:56,120
Speaker 3: know what that and milk me. So also some stand

1077
01:01:56,200 --> 01:01:59,880
Speaker 3: up dates. March fifteenth, I'll be at a Strong Rope

1078
01:02:00,040 --> 01:02:02,120
Speaker 3: Brewery in Brooklyn, New York.

1079
01:02:02,200 --> 01:02:02,760
Speaker 4: Goannas.

1080
01:02:03,040 --> 01:02:06,880
Speaker 3: April will be in Cincinnati, Bristol, Tennessee, and Pittsburgh. In

1081
01:02:06,960 --> 01:02:10,480
Speaker 3: May and June, I'll be in Austin, Texas.

1082
01:02:10,920 --> 01:02:13,680
Speaker 1: Austin, Texas, the capital of stand up.

1083
01:02:14,760 --> 01:02:17,520
Speaker 4: The capital of conservative.

1084
01:02:18,040 --> 01:02:22,840
Speaker 5: No, not Austin Austin's Blue Austin's Blue Austin.

1085
01:02:24,880 --> 01:02:25,320
Speaker 4: I love it.

1086
01:02:25,360 --> 01:02:25,840
Speaker 1: I do.

1087
01:02:26,000 --> 01:02:26,960
Speaker 4: I do like coming to Austin.

1088
01:02:27,480 --> 01:02:30,960
Speaker 1: Yeah, is there workimedia you've been enjoying?

1089
01:02:32,000 --> 01:02:39,680
Speaker 3: Yes, Apple Plus No So Day the Whole Cattle seven months.

1090
01:02:42,880 --> 01:02:46,200
Speaker 3: Dave Ross who's a very funny stand up comedian. His

1091
01:02:46,600 --> 01:02:50,480
Speaker 3: Instagram handle is Dave to the Ross. He's been doing

1092
01:02:50,520 --> 01:02:54,880
Speaker 3: this thing where he takes stock like sports team logos

1093
01:02:54,920 --> 01:02:57,120
Speaker 3: that you would see like a high school use or

1094
01:02:57,160 --> 01:02:59,720
Speaker 3: like a beer league or something, and then instead of

1095
01:02:59,720 --> 01:03:02,600
Speaker 3: the team name, he edits it to like these very

1096
01:03:02,720 --> 01:03:05,520
Speaker 3: like these very funny lines. So there'll be one with

1097
01:03:05,680 --> 01:03:07,920
Speaker 3: like a like a guy about to hike a football

1098
01:03:07,960 --> 01:03:10,240
Speaker 3: and it just says, do you know a good therapist?

1099
01:03:10,480 --> 01:03:11,400
Speaker 4: But in a team?

1100
01:03:11,880 --> 01:03:13,120
Speaker 1: You know, in a team fun.

1101
01:03:13,600 --> 01:03:15,960
Speaker 3: And there's another one where it's like a guy like

1102
01:03:16,080 --> 01:03:18,480
Speaker 3: a skull wearing a football helmet, you know, kind of

1103
01:03:18,480 --> 01:03:20,640
Speaker 3: like a Raiders logo but a little bit Halloween, and

1104
01:03:20,680 --> 01:03:25,200
Speaker 3: it just said I died playing football, and an angry

1105
01:03:25,280 --> 01:03:29,160
Speaker 3: ball saying I'm always afraid. Like it's it's very very

1106
01:03:29,360 --> 01:03:33,240
Speaker 3: I'm I'm describing an image based work of media, which

1107
01:03:33,240 --> 01:03:35,000
Speaker 3: I probably shouldn't have done. But if you go to

1108
01:03:35,280 --> 01:03:37,520
Speaker 3: Dave to the Ross. It's very, very, very funny.

1109
01:03:37,840 --> 01:03:39,880
Speaker 1: So that's great smart too.

1110
01:03:39,960 --> 01:03:41,400
Speaker 4: Yeah, yeah, it's great. I love it.

1111
01:03:41,880 --> 01:03:46,160
Speaker 1: You can find me on Twitter a Jack Underscore O'Brien

1112
01:03:46,960 --> 01:03:52,680
Speaker 1: tweet I've been enjoying. Uh. I just saw dope Be

1113
01:03:52,760 --> 01:03:57,840
Speaker 1: the Dumbfuck on Twitter at Pete Underscore irons eight seven

1114
01:03:57,880 --> 01:04:00,520
Speaker 1: to two h six. Usually I'll just do the but

1115
01:04:00,760 --> 01:04:03,160
Speaker 1: his was so long convoluted, I just had to use

1116
01:04:03,200 --> 01:04:06,160
Speaker 1: what he wrote his name as Dopey the Dumbfunck tweeted

1117
01:04:07,040 --> 01:04:10,040
Speaker 1: getting a question wrong at trivia and faking a hamstring

1118
01:04:10,080 --> 01:04:17,000
Speaker 1: pool and oh shit, damn it just rolling around on

1119
01:04:17,040 --> 01:04:21,200
Speaker 1: the ground. And then Austin Heimer tweeted, what if instead

1120
01:04:21,240 --> 01:04:23,920
Speaker 1: of the Sixties, the New Fantastic Four took place in

1121
01:04:23,920 --> 01:04:27,600
Speaker 1: the seventies and instead of Pedro Pascal, it started Ryan

1122
01:04:27,640 --> 01:04:30,920
Speaker 1: Gosling and Russell Crowe and instead of being superheroes, they

1123
01:04:30,960 --> 01:04:35,640
Speaker 1: were both private detectives. Oh I love that movie. Was fun.

1124
01:04:36,320 --> 01:04:41,760
Speaker 1: That movie was fun. You can find us on Twitter

1125
01:04:41,800 --> 01:04:44,680
Speaker 1: at daily Zeikeeist. We're at the Daily Zeichgeist on Instagram.

1126
01:04:44,680 --> 01:04:46,720
Speaker 1: We have a Facebook fan page and a website Daily

1127
01:04:46,840 --> 01:04:50,600
Speaker 1: Zeikeeist dot com, where we post our episodes and our footnotes.

1128
01:04:51,640 --> 01:04:53,240
Speaker 1: We like off to the information that we talked about

1129
01:04:53,320 --> 01:04:56,640
Speaker 1: today's episode, as well as a song that we think

1130
01:04:56,760 --> 01:05:01,720
Speaker 1: you might enjoy. Super producer just A Connor, is there

1131
01:05:01,840 --> 01:05:03,919
Speaker 1: a song that you think people might enjoy?

1132
01:05:04,600 --> 01:05:09,160
Speaker 8: Yeah, so this track has a vintage smoky jazz club

1133
01:05:09,280 --> 01:05:13,560
Speaker 8: vibe to it. It's from a Brazilian Norwegian singer songwriter,

1134
01:05:14,040 --> 01:05:17,880
Speaker 8: Charlotte Do Santos. There's some gorgeous falsetto and vocal work

1135
01:05:17,920 --> 01:05:21,360
Speaker 8: going on here. It's really chill and viby. So check

1136
01:05:21,360 --> 01:05:24,600
Speaker 8: out this song. It's called Watching You by Charlotte Do

1137
01:05:24,680 --> 01:05:27,840
Speaker 8: Santos and you can find that song in the footnotes footnotes.

1138
01:05:28,640 --> 01:05:30,720
Speaker 1: All right, we will look after that. The Daily Zaika

1139
01:05:30,840 --> 01:05:32,880
Speaker 1: is a production of iHeartRadio for more podcasts from my

1140
01:05:32,920 --> 01:05:36,160
Speaker 1: Heart Radio, the iHeartRadio ap Apple podcast wherever you listen

1141
01:05:36,200 --> 01:05:38,160
Speaker 1: to your favorite shows, that is gonna do it for

1142
01:05:38,320 --> 01:05:43,080
Speaker 1: us this morning. We are back on Tuesday to tell

1143
01:05:43,120 --> 01:05:46,360
Speaker 1: you what was trending over the long weekend, and then

1144
01:05:47,200 --> 01:05:51,360
Speaker 1: with a episode after that later that day. I believe,

1145
01:05:51,800 --> 01:05:54,080
Speaker 1: so we will talk to you all day. Bye,