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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.

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Speaker 2: Production of iHeart Radio.

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

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Speaker 1: into American share consciousness. And it is Friday February eleventh. Nope,

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Speaker 1: and it is Friday February sixteenth, twenty twenty four. Not

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Speaker 1: a good start, guys, fucking up the date. That's when

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Speaker 1: you know you're in for it. When I'm can't even

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Speaker 1: read numbers most the most.

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Speaker 2: Basic thing to read.

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Speaker 1: I think I think I learned that before reading numbers,

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Speaker 1: before reading words.

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Speaker 2: Anyways, my name.

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Speaker 1: Is Jack O'Brien aka den and Na No not inspector,

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Speaker 1: Judget no no no no woo Dona no no no

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Speaker 1: inspector Judget dena no no no go. Sorry Joe, Judget Joe.

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Speaker 1: That is courtesy of Rezik on the Discord, in reference

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Speaker 1: to the fact that I pronounced inspector gadget with two

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Speaker 1: soft GE's and then tried to pretend that I'd done

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Speaker 1: it on purpose on yesterday's show, and just like believed

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Speaker 1: that more words should be pronounced with a soft g.

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Speaker 1: I'm not proud. It just seemed like a good idea

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Speaker 1: at the time. I am thrilled to be joined in

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Speaker 1: the second seat by today's just co host, A brilliant

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Speaker 1: now I'm not gonna keep doing it, A brilliant comedian, writer, actor,

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Speaker 1: the hilarious, the chaotic, the riding a recumbent bike. In

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Speaker 1: short short, it's Blake Wexland.

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Speaker 2: Hey everyone, this is Blake Wexler aka Happy girth daya

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Speaker 2: my legs. Happy girth Day to my legs. Happy girth Day,

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Speaker 2: dear plumpers, Happy girth daya my legs. Today is my birthday,

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Speaker 2: and I have a very exciting announcement that really calf yeah,

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Speaker 2: oh yeah, yeah. I would never joke about that. I

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Speaker 2: would never I joke about a lot of things. I

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Speaker 2: would never birth that day. Very serious about my birthday,

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Speaker 2: very serious. Equally a serious announcement. My calf muscles have

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Speaker 2: gotten so big and strong they are no longer considered

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Speaker 2: to be calfs but cows. I now have cow muscles.

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Speaker 2: That sucks. It's good, It's really very good, 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: Birthday to your plumpers is every day. But happy, happy,

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Speaker 1: Birthday to your plumpers and happy birthday to you, Blake Wesler.

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Speaker 2: What a treat, Thank you. I know I came up

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Speaker 2: with this bit, but it still is. It's starting to

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Speaker 2: make me feel sick to my stomach hearing these words. Carmen,

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Speaker 2: I'm so sorry, and you don't even know.

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Speaker 3: Who say one more time?

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Speaker 2: I see, but.

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Speaker 1: I would never Is that weird? Is that a good combination?

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Speaker 1: Happy jurisday to Yeah, weird word that has been paired

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Speaker 1: with plumpers and also very weird?

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Speaker 2: Which is that's fine? Both like and I used to describe.

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Speaker 3: Add to that, I could add another word, I'm not adding.

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Speaker 3: I'm not adding.

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Speaker 2: You don't have to. Who are you? Though?

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Speaker 3: Who am I?

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Speaker 2: Who are you?

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Speaker 1: We are thrilled to be joined in our third seat

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Speaker 1: by a brilliant writer, producer, vice columns, journalists, podcast host,

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Speaker 1: just all all of the jobs, just had them. It's

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

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Speaker 1: Why Don't You Tell Me? Was called propulsive and explosive

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

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

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Speaker 2: I don't know if you've ever heard of them.

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Speaker 1: Please welcome to the show, the brilliant, the talented Carmen.

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Speaker 2: Rito, what.

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Speaker 3: Listen does carme san Diego have a song? I don't

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Speaker 3: remember you did?

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Speaker 2: Inspect again?

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Speaker 3: San Diego is like, where in the world is.

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Speaker 2: The place my brain is at?

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Speaker 1: Is that I couldn't even change the second word to

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Speaker 1: san Diego, I said, Carmen Inspector.

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Speaker 2: So Jesus Christ, guys, what is going on?

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Speaker 1: I don't know.

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Speaker 2: Is everybody doing good? Yeah?

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Speaker 3: 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, Yeah, birthday?

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Speaker 3: Man?

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Speaker 2: Oh, thank you, thank you so much. Yeah, it's uh,

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Speaker 2: it is Friday, February sixteenth, which is today is my birthday. Yeah.

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Speaker 2: So I'm I feel good. I feel young again in

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Speaker 2: a way I've don't want I don't want eighty. The

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Speaker 2: earlier part of my thirties has been it has been

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Speaker 2: a slog. But now you know, I've had some serums

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Speaker 2: and experimental medication and metal surgery, not even plastic sur

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Speaker 2: and yeah, I feel I feel pretty good. Yeah, where

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Speaker 2: are you at?

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Speaker 3: I'm I'm in a closet. No, there's construction in my

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Speaker 3: building all of a sudden, So I'm like yeah in

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Speaker 3: the class. No, no, no, listen, I've had I just

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Speaker 3: had surgery like three months ago. So there you go,

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Speaker 3: speaking of surgeries. But they're taking things out, not putting

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Speaker 3: things in. So it's all good.

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Speaker 2: It is good.

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

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Speaker 3: Things as you get older. Yes, things start, you know,

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Speaker 3: disappearing for good reasons.

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Speaker 2: A minimalist body is I think what we all want.

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Speaker 3: Yes, with youthful blood transferring, you know, the blood of

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Speaker 3: the youth into yourselves, as certain billionaires do.

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Speaker 2: I'm glad someone said it.

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Speaker 1: Or can we just stop acting like having young people

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Speaker 1: as blood bags is only for billionaires. I mean, it's

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

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

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Speaker 1: right now, I was just a 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 how people respond to it. Well, Oh my god, Carmen,

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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 2: In a moment.

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Speaker 1: First, we're gonna tell our listeners a couple of things

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Speaker 1: we're talking about today. You may have seen headlines that

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Speaker 1: Russia space nuke something like that. The Russia is gonna

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Speaker 1: nucas from space was kind of the vibes I was

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Speaker 1: getting from the headlines Russian nuclear space weapons, and yeah,

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Speaker 1: watching it.

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Speaker 2: You should read the rest of the article before you

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Speaker 2: add it into the show run.

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

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

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

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Speaker 1: those words together is like, well, 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.

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Speaker 2: Think we're going to talk about what it's.

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Speaker 1: Like to apply for a job at McDonald's these days. Hint,

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Speaker 1: it involves an ai blue space creature that you have

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Speaker 1: to like answer existential questions about it.

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Speaker 2: Very confused, positive story. Yeah, that's going to be uplifting

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Speaker 2: in a lot of ways.

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Speaker 1: And then we're going 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 Like fans.

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Speaker 2: He's so smart and rich.

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Speaker 1: God stop, you 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.

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Speaker 2: He Tesla is having.

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Speaker 1: A worse quarter, a worse year so far than Boeing.

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Speaker 1: But yeah, no, literally than Boeing. They're Tesla is performing

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Speaker 1: the worst 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 our bad. That one's on us, guys, and we

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Speaker 1: kind of knew it was a problem, but you know,

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

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Speaker 2: Well, the cyber trucks can't fly is the problem. That's

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Speaker 2: why we promised that cyber trucks could fly, and they can't.

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Speaker 2: 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.

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Speaker 2: Go like we got the.

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Speaker 1: Owner's manual, and the owner's manual was like you, if

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

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

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

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Speaker 1: your cyber truck if like just a if it gets

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Speaker 1: like dirt on it.

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Speaker 3: Yeah, it's made of a luminium foil.

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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. By the way, it

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Speaker 1: turns out, that doesn't mean it can't be stayed. And

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Speaker 1: in fact, it's like just just drinking in everything that

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Speaker 1: you put on it, like a sponge. So we'll talk

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Speaker 1: about all that plenty more. But before we get to

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Speaker 1: any of that, Carmen, we do like to ask our guest,

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Speaker 1: what is something from your search history?

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Speaker 3: Oh God, you're gonna start with that one, all right,

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Speaker 3: so we can get out of the serious stuff. So

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Speaker 3: on my search history, you're catching me right after lunch

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Speaker 3: and once a week. It's my little routine because I

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Speaker 3: need a little treat. Once a week with my lunch,

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Speaker 3: I watch all the new movie previews. So my search

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Speaker 3: was Godzillan Calm?

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Speaker 2: Is that.

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Speaker 3: For god Zillan Cam?

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Speaker 2: You can laugh at me.

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Speaker 3: It's listen, Godzilla was is my girl? All right, let's

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Speaker 3: be real. I can be a very very serious person

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Speaker 3: and intellect. However, when it comes to giant reptiles who

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Speaker 3: may be female trying to protect their territory and they

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Speaker 3: can shoot blue lasers out of their mouths, I am

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Speaker 3: on board so hard.

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Speaker 1: So the thing my pause was not just being staggered

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Speaker 1: at your low brow taste. I wasn't like God. It

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

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Speaker 1: from my eye.

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Speaker 4: When you said, Dodd say Godzillan Cam.

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Speaker 1: I thought they made this one already they did.

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Speaker 3: But it's the trailer. It's the new trailers.

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Speaker 2: It's a trailer for the new sequel. So they got.

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Speaker 3: Godzilla and Kong are teaming up.

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

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Speaker 3: This is Godzilla x Kong, which means multi sequel.

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Speaker 2: Is there's an x. It's a collabse it's a collabo.

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Speaker 3: Yes man, yes man.

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Speaker 2: So I was not up on this.

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Speaker 3: And Kong has a metal glove.

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Speaker 1: Why this.

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Speaker 2: Is so ridiculous.

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Speaker 3: You know, I'm gonna end up seeing this in like

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Speaker 3: four D. Right, I'm gonna go to the theater where

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Speaker 3: the seats move and it sprays water on you, and

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Speaker 3: I'm just gonna laugh my ass off. It'snna be wonderful.

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Speaker 1: Did you watch the first the v Godzilla v.

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Speaker 5: Kong?

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Speaker 1: Yes?

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Speaker 3: And did you see Godzilla Minus one, which was a masterpiece.

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Speaker 1: I mean, these mass 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 2: You had a no, no, no, no, it's okay, No

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Speaker 2: I didn't. It's so hard for me to watch these

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Speaker 2: when I'm you know, reading about Alexander Fleming and you know,

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Speaker 2: like dis like the guy discovered penicillin. It's just that's

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Speaker 2: the type of stuff that I like. But I have

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Speaker 2: heard that, see I see. I have you seen the

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Speaker 2: Apple Plus show Monarch Legacy of Monsters a couple of episodes. Yeah,

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Speaker 2: I liked it, I like really liked it. And of

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Speaker 2: course the two Kurt Russell's were it's it's Kurt Russell

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Speaker 2: and his son Quiet Russell. I believe both play the

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Speaker 2: same person in different ages obviously super similar. Yeah, yeah

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Speaker 2: it works. They have the U the Russell jawline, and yeah,

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Speaker 2: I thought it was cool. I liked it. It wasn't perfect,

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Speaker 2: but I was I was into it.

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Speaker 3: I ended up I watched a couple of episodes, but

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Speaker 3: it was it was okay, it was okay cool. But yeah,

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Speaker 3: when it comes to the movies, I'm old school. This

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Speaker 3: was my old you know when I was like when

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Speaker 3: I was.

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Speaker 1: A kid, Yeah, you fell with big monster movies like big, Yeah,

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Speaker 1: what is your top?

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Speaker 2: What's your number? One? Like that?

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Speaker 1: So my original introduction to movies, and it 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. I

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Speaker 1: then instead just like got excited about Steven Spielberg movies

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

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

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

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

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Speaker 3: And so my first girl crushed by the way, just.

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

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Speaker 3: Yeah, LORDI I was like, I'm confused.

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

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Speaker 3: Listen? My first which, by the way, I watch all

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Speaker 3: kinds of like I'm a movie freak, so I'll watch

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Speaker 3: anything and quite obsessive, but Alien was everything. Yeah for me,

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Speaker 3: that movie I will watch over and over and over

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Speaker 3: and over again, like the whole concept of all of it. Alien, Predator,

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Speaker 3: big monster movie, Like I just I love them.

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Speaker 2: They're cool, they're blast.

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Speaker 3: Terminator is a monster, I think.

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Speaker 2: So he is. The man is is.

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Speaker 1: You know you've seen that video of him traveling to

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Speaker 1: uh Brazil for a carnival, but he's no, it's wild.

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Speaker 1: It's like he was the host of a travel show

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Speaker 1: in the seventies and he is out of control.

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Speaker 2: He talks about you like sasses and things like that.

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Speaker 1: Things of this nature picks up a dancer one time,

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Speaker 1: and it's like you're worried that somebody is going to

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Speaker 1: be ripped to shreds. Yeah so alien, Yeah, aliens. Twister

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Speaker 1: twisters thoughts you excited?

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Speaker 2: I mean, I think it's too many. I could barely

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Speaker 2: handle one, and yeah there's multiple. Now there's multiple twisters.

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Speaker 2: Do you did you ever go to the Universal the

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Speaker 2: Universal studios in in La where sorry studio studio where

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Speaker 2: they would have the King Kong, the massive King Kong,

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Speaker 2: but they would give him banana breath, like they would

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Speaker 2: have a scent of bananas, and I just looked it up.

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Speaker 2: It turns out this is I'm not this isn't the

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Speaker 2: beginning of my brain decaying.

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Speaker 3: Would vomit.

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Speaker 2: It was disgusting.

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Speaker 3: You would be like I would instantly throw up.

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Speaker 2: The potassium.

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

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Speaker 1: go with the massive King Kong.

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Speaker 2: Otherwise he would.

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Speaker 1: Just have to be eating bushels right, true, which is

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Speaker 1: not sustainable, not sustainable, not sustainable.

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Speaker 3: King Kong does not need food.

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Speaker 2: No, I mean a monster.

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Speaker 3: His food is excitement. I don't know, I have no fear.

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Speaker 3: I don't about my monsters. Like eating and pooping, like

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Speaker 3: I just really 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 food is our adulation and applause. King Kong's food

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Speaker 1: is our fear and terror.

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Speaker 2: Yes, yes, yes, yes.

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Speaker 1: What is something you think is overrated?

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Speaker 2: You know what?

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Speaker 3: Okay, let's bring it back down to I think you

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Speaker 3: said something. You said that you know the markets are bullshit,

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Speaker 3: right Jack?

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Speaker 2: You just said that.

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Speaker 3: All right, So let's let's bring ourselves back there for

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Speaker 3: a second. Because I was thinking a lot about this

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Speaker 3: because some sports star just started some nonprofit about financial literacy.

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Speaker 3: I covered financial literacy for twenty plus years. I gave

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Speaker 3: financial advice. I was an editor at Money Fortune, I

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Speaker 3: had a TV show all this stuff, and I can

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Speaker 3: tell you I retired from it, I want to say,

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Speaker 3: seventy years ago, and I'm so glad I did. Because

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Speaker 3: one of the things is the realization that you cannot

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Speaker 3: financially literate yourself out of a real fed up economy

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Speaker 3: doesn't pay you, right, you can't the system. When I

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Speaker 3: found out in covering the business for so long, covering

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Speaker 3: the banks, covering how everything has made the government, the laws,

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Speaker 3: the rules, you are up against. Of course, you need

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Speaker 3: to know the basics, especially women and marginalized people. You

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Speaker 3: have to know the basics and how to protect yourself

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Speaker 3: and how to be on timeable. But the idea that

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Speaker 3: so many of these things are set in motion or

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Speaker 3: beyond your control, like credit scores or like you know, overdrafts,

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Speaker 3: or like the market where by the way, most of

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Speaker 3: the market is only fifteen percent of American people have

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Speaker 3: access to the stock market. Right, So how can you now?

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Speaker 3: When I started back in financial literacy, it was it

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Speaker 3: was a different ballgame. And now it's like you can't

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Speaker 3: sit there and teach people out of the fact that,

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Speaker 3: for example, my first apartment. Let's see, my first job,

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Speaker 3: I was making thirty five thousand dollars a year, New

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Speaker 3: York City, Manhattan. Yeah, I could afford a studio apartment

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Speaker 3: walking distance from my job.

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Speaker 2: Wow, oh my god.

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Speaker 3: Yeah, it was seven hundred and fifty dollars. Now, and

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Speaker 3: thank you, by the way for having the geriatric on

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Speaker 3: your show. Now, age is good. I'm alive. I'm alive.

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Speaker 3: Age is good. But goil may give you a perspective.

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Speaker 3: Now I've got young people telling me that they're starting

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Speaker 3: at thirty five thousand dollars a year and a studio

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Speaker 3: apartment in Midtown is going for three thousand plus. Stop.

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Speaker 3: How can you possibly be literal enough to get yourself

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Speaker 3: out of the fact that they were just not paying

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Speaker 3: people what we should be paid.

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Speaker 1: Just learn more from Yeah, well, one thing I recently footstraps,

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Speaker 1: no boots.

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Speaker 3: Let me say it, ain't no bootstraps, they're gonna get

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00:19:59,000 --> 00:20:00,440
Speaker 3: your out of there. Say no boot you can put

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Speaker 3: on your feet and get you out of this. Yes,

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00:20:01,960 --> 00:20:05,359
Speaker 3: you can all sit there and grind. But the fact

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Speaker 3: of the matter is that if the system is set

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Speaker 3: up so badly against us that I just hope it's

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Speaker 3: so overrated. When you see financial literacy, when you see experts. Now,

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Speaker 3: back when I started, there were very few experts because

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Speaker 3: you actually had to be an expert. Yeah, okay, Now

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Speaker 3: it's about selling things, it's about selling information, it's about

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Speaker 3: selling you a program, it's about all of this. Would

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00:20:30,160 --> 00:20:33,359
Speaker 3: just be very very careful. Yeah, and then we've got

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Speaker 3: to get some 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, Yeah, like there because 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: willing to help you with that if you just like

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Speaker 1: pay us for these financial literacy programs.

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Speaker 3: Yeah, it's the whole Like you're also bad because you

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Speaker 3: use straws, but we are just gonna suck all the

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00:21:30,560 --> 00:21:32,720
Speaker 3: oil out of you know what I mean. It's all

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Speaker 3: personal responsibility bs because they want to distract you from

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Speaker 3: the fact that it's all happening upstairs.

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Speaker 2: Yeah, it's really indicative and fucked up of how bad

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Speaker 2: the system is. That like beyond to your point basic understanding.

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00:21:44,880 --> 00:21:46,719
Speaker 2: It's you're supposed to be like you know what, Actually

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Speaker 2: you probably should be ignorant to what's going on because

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Speaker 2: it's going to make you way more upset. You actually

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Speaker 2: know how fucked up the system is and 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 they're doing.

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Speaker 2: Fuck you over there there.

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Speaker 1: Financial literacy is like all these financial products that we

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Speaker 1: can offer you to which is why.

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Speaker 3: We need Elizabeth Warren to stay where she is and

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Speaker 3: do more because because of her that that things have

401
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Speaker 3: changed and are continuing to change, and we got to

402
00:22:17,600 --> 00:22:19,159
Speaker 3: change it. So you don't change the rules. They're just

403
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Speaker 3: going to do whatever they can, right, whatever they can.

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Speaker 1: Like it seems like it's 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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00:22:32,920 --> 00:22:36,600
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 to

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Speaker 1: make it complicated.

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Speaker 3: It's the government knows how much you owen taxes, all right.

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Speaker 2: Yeah they can.

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Speaker 3: You don't need a company to pay a company. So anyway,

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Speaker 3: that's another one of the fights that's happening on Washington

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Speaker 3: now to kind of outlaw the whole tax prep stuff

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Speaker 3: and have people why are we paying? Why is everybody

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Speaker 3: paying for this stuff?

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Speaker 1: Yeah, it does seem like people are kind of catching

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Speaker 1: on to that one. Yes, Carmen, what is something you

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Speaker 1: think is underrated? Oh?

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Speaker 3: This is more fun?

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Speaker 2: Do you know what?

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Speaker 1: I love?

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Speaker 3: Love, love love.

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Speaker 2: Let's go back capital punishment.

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Speaker 3: And they hold meet up. Don't get me mad? Now?

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Speaker 4: Oh wow, this is thatcher Moss fun.

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Speaker 3: Okay, so on shows I love because of course I'm

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Speaker 3: a writer too, But I love mash up words. I

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Speaker 3: don't like I'm not talking about those TikTok kind of

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Speaker 3: stuff like Risen, So I'm talking about mash upboards. Because

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Speaker 3: right now, the word that I can get out of

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Speaker 3: my head, which I love so much is corpsicle. Is

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Speaker 3: anyone watching.

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Speaker 1: It?

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00:24:06,840 --> 00:24:09,720
Speaker 3: Is the idea? And I've I come across a couple

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00:24:09,720 --> 00:24:11,359
Speaker 3: more of these words, and I just love they make

441
00:24:11,440 --> 00:24:18,040
Speaker 3: me so happy. Yeah, Corpsicle like the power to be

442
00:24:18,080 --> 00:24:22,320
Speaker 3: able to create a word that instantly makes your brain

443
00:24:22,400 --> 00:24:23,120
Speaker 3: go corpse.

444
00:24:23,400 --> 00:24:25,320
Speaker 1: Know exactly what that is, and you.

445
00:24:25,359 --> 00:24:28,920
Speaker 3: Know exactly what it is, and it's a nonsense word can't.

446
00:24:29,440 --> 00:24:30,480
Speaker 3: By the way, I love the show.

447
00:24:31,280 --> 00:24:34,040
Speaker 2: Yeah, you love true That's a great underrated That's that's

448
00:24:34,080 --> 00:24:36,520
Speaker 2: one of honestly my favorite underrated. It's that's such a

449
00:24:36,560 --> 00:24:39,399
Speaker 2: good one because it's something that you appreciate subconsciously. But

450
00:24:39,440 --> 00:24:41,640
Speaker 2: then hearing you say that, I want to I want

451
00:24:41,680 --> 00:24:44,439
Speaker 2: to keep an eye out for more more corpsicle type words.

452
00:24:44,640 --> 00:24:46,680
Speaker 3: It's so fun. And then every time I hear corpsicle,

453
00:24:46,720 --> 00:24:49,360
Speaker 3: I'm like, oh, I just love it.

454
00:24:51,960 --> 00:24:54,240
Speaker 1: By the way, So so that you know where I'm at,

455
00:24:54,320 --> 00:24:57,000
Speaker 1: I tried to write corpsicle. I wasn't quite sure how

456
00:24:57,040 --> 00:25:00,440
Speaker 1: to pronounce how to spell it, and my autocorrect change

457
00:25:00,440 --> 00:25:01,480
Speaker 1: it to crop circle.

458
00:25:02,080 --> 00:25:04,480
Speaker 3: So you know, what's another fantastical thing?

459
00:25:05,240 --> 00:25:05,919
Speaker 2: You love science?

460
00:25:06,000 --> 00:25:06,760
Speaker 3: So there you go.

461
00:25:07,480 --> 00:25:09,639
Speaker 2: I love science. Is that what you said? Yes? I

462
00:25:09,680 --> 00:25:18,040
Speaker 2: love science. Science signs the M Night Shamalin movie signs.

463
00:25:15,920 --> 00:25:20,760
Speaker 1: That and the class that's I think that's in another

464
00:25:21,000 --> 00:25:25,000
Speaker 1: M Night Shyamalan movie where Mark Wahlberg is a science

465
00:25:25,040 --> 00:25:29,000
Speaker 1: teacher and he's like where just written on the board

466
00:25:29,080 --> 00:25:31,280
Speaker 1: is like, where did the bees go? Oh?

467
00:25:33,440 --> 00:25:33,840
Speaker 2: Wasn't that?

468
00:25:33,840 --> 00:25:35,520
Speaker 3: That wasn't science? Which one was that one?

469
00:25:35,760 --> 00:25:37,280
Speaker 2: That that is happening?

470
00:25:38,040 --> 00:25:38,359
Speaker 3: Oh?

471
00:25:38,440 --> 00:25:42,399
Speaker 2: My god, what about the bees though, bro, don't spoil it.

472
00:25:42,440 --> 00:25:45,600
Speaker 2: Don't spoil it, don't tell us where the huge plot point.

473
00:25:46,040 --> 00:25:48,200
Speaker 3: Oh my god, good one.

474
00:25:48,720 --> 00:25:49,680
Speaker 2: Yeah, that is a good one.

475
00:25:50,040 --> 00:25:54,120
Speaker 1: True Detective Season four or yeah, season four has one

476
00:25:54,160 --> 00:26:00,200
Speaker 1: of the most That corpsycle is the corpsicle that into

477
00:26:00,240 --> 00:26:01,120
Speaker 1: all corpsicles.

478
00:26:01,200 --> 00:26:03,680
Speaker 2: By the way, it's a bunch of Yeah, it's a

479
00:26:03,800 --> 00:26:05,080
Speaker 2: real question.

480
00:26:05,080 --> 00:26:07,520
Speaker 3: And if you like this season, look at me. I'm

481
00:26:07,560 --> 00:26:09,879
Speaker 3: not doing promo for her, but I do adore her.

482
00:26:10,040 --> 00:26:13,640
Speaker 3: The director of Isa Lopez right chic from Mexico. She

483
00:26:13,880 --> 00:26:19,320
Speaker 3: has her horror movie Tigers Are Not Afraid was beautiful

484
00:26:20,359 --> 00:26:22,479
Speaker 3: and fresh. You know, when you see a movie, it's

485
00:26:22,520 --> 00:26:24,720
Speaker 3: not like you're not like, wow, that was so great

486
00:26:24,720 --> 00:26:26,600
Speaker 3: and epicab but but when you see it and you go, okay,

487
00:26:26,600 --> 00:26:29,480
Speaker 3: that's new. Yeah, Like how hard is it to see

488
00:26:29,600 --> 00:26:32,120
Speaker 3: to watch something today and be like, Okay, that's that's new.

489
00:26:32,600 --> 00:26:36,160
Speaker 3: I haven't seen that. That's her and it is brilliant.

490
00:26:36,200 --> 00:26:41,200
Speaker 3: So I'm not surprised that she produced a corpsicle. Yeah,

491
00:26:41,280 --> 00:26:43,880
Speaker 3: if you watch that movie, you're like, this lady's brain

492
00:26:43,960 --> 00:26:44,439
Speaker 3: is different.

493
00:26:44,960 --> 00:26:49,159
Speaker 2: Yeah, Meliki Oh that only has a ninety seven percent

494
00:26:49,280 --> 00:26:50,639
Speaker 2: on Rotten tomatoes. That's all.

495
00:26:50,640 --> 00:26:52,280
Speaker 3: It's not afraid.

496
00:26:52,920 --> 00:26:58,960
Speaker 2: Yeah, so happy for her. My movies to watch list

497
00:26:59,400 --> 00:26:59,720
Speaker 2: me too.

498
00:27:00,160 --> 00:27:03,160
Speaker 3: Mm hmmm, so good, so good, by the way Etha

499
00:27:03,200 --> 00:27:05,000
Speaker 3: Lovio Loaveo. Okay, moving on.

500
00:27:05,880 --> 00:27:10,399
Speaker 1: She's a big fan, as are all great, brilliant you know,

501
00:27:10,480 --> 00:27:13,000
Speaker 1: directors who think different. They are huge fans of the day.

502
00:27:13,040 --> 00:27:18,040
Speaker 1: He's ichists, All right, let's take a quick break and

503
00:27:18,160 --> 00:27:20,080
Speaker 1: come back and we'll run through some news stories.

504
00:27:20,119 --> 00:27:20,760
Speaker 2: We'll be right back.

505
00:27:20,920 --> 00:27:33,399
Speaker 5: Okay, and we're back.

506
00:27:34,240 --> 00:27:37,040
Speaker 1: And I do like to every once in a while

507
00:27:37,119 --> 00:27:40,560
Speaker 1: check in with my good friend at the Dread Report.

508
00:27:41,240 --> 00:27:43,200
Speaker 2: Every once in a while. There's just you do.

509
00:27:43,359 --> 00:27:47,879
Speaker 1: The Drudgs Report is like gets more traffic than the

510
00:27:47,920 --> 00:27:51,679
Speaker 1: New York Times, and it is only one page. It

511
00:27:51,720 --> 00:27:54,359
Speaker 1: has like as many page views as the New York Times.

512
00:27:54,440 --> 00:27:57,720
Speaker 1: And it's just a bunch of links that this strange

513
00:27:57,760 --> 00:28:02,480
Speaker 1: man puts up on his weird conservative website. And yesterday

514
00:28:03,200 --> 00:28:09,399
Speaker 1: it was all about Russia space nukes and how you know,

515
00:28:10,320 --> 00:28:13,640
Speaker 1: just in like big font red lettering. That's usually when

516
00:28:13,680 --> 00:28:16,439
Speaker 1: he's like, this is the one that everybody should be

517
00:28:16,440 --> 00:28:21,560
Speaker 1: paying attention to. So I have to assume that this anxiety,

518
00:28:21,720 --> 00:28:27,320
Speaker 1: the anxiety over Russian space nuclear weapons has entered the

519
00:28:28,080 --> 00:28:29,360
Speaker 1: American bloodstream.

520
00:28:29,840 --> 00:28:31,080
Speaker 2: So I just wanted to kind.

521
00:28:30,920 --> 00:28:34,480
Speaker 1: Of take a quick look at how this came about.

522
00:28:34,560 --> 00:28:40,680
Speaker 1: It started with a person in the US House Intelligence

523
00:28:40,680 --> 00:28:44,840
Speaker 1: Committee who Mike Turner, some name that is just like

524
00:28:44,920 --> 00:28:50,360
Speaker 1: two very common names sandwich together, very plain. But he's

525
00:28:50,760 --> 00:28:54,080
Speaker 1: he's someone who, like when I mentioned him to people

526
00:28:54,120 --> 00:28:56,840
Speaker 1: who I don't think are even that politically active, they're like, oh, yeah,

527
00:28:56,960 --> 00:29:00,480
Speaker 1: I'm Mike Turner. So I just might not be totally

528
00:29:00,560 --> 00:29:02,920
Speaker 1: up on this person. But he got briefed on something

529
00:29:03,120 --> 00:29:06,080
Speaker 1: and was immediately like, oh my god, like you need

530
00:29:06,160 --> 00:29:08,720
Speaker 1: to like let us know what is happening here, you

531
00:29:08,800 --> 00:29:11,560
Speaker 1: need to let it like declassify this whole thing, and

532
00:29:12,360 --> 00:29:16,360
Speaker 1: like dropped hints that it was involved Russia and nuclear

533
00:29:16,440 --> 00:29:20,920
Speaker 1: weapons and space, and that's a scary combination. I can

534
00:29:20,960 --> 00:29:25,520
Speaker 1: see how that is a scary combination. Jackpot. So the

535
00:29:25,640 --> 00:29:30,320
Speaker 1: reality of the situation is that I will just read

536
00:29:30,640 --> 00:29:34,720
Speaker 1: directly from the article that like people were able to

537
00:29:34,760 --> 00:29:40,160
Speaker 1: put together using actual sourcing, US intelligence shows that Russia

538
00:29:40,320 --> 00:29:45,360
Speaker 1: is discussing the possibility of basing a nuclear weapon in space.

539
00:29:45,840 --> 00:29:49,080
Speaker 1: So they're discussing the possibility. But we did not discover

540
00:29:49,640 --> 00:29:55,200
Speaker 1: that Russia has a nuclear missile in orbit pointing at

541
00:29:55,240 --> 00:29:59,560
Speaker 1: our head? Are we are reporting on a conversation that

542
00:29:59,680 --> 00:30:05,800
Speaker 1: we think might be happening in Russia? And why would

543
00:30:05,840 --> 00:30:08,640
Speaker 1: they have a nuclear weapon in space? Because it could

544
00:30:08,640 --> 00:30:14,840
Speaker 1: be used to threaten our satellite communication. So another detail

545
00:30:15,800 --> 00:30:19,280
Speaker 1: that made me less stressed out about this, like thinking

546
00:30:19,320 --> 00:30:23,320
Speaker 1: about basing a weapon in space that could fuck with

547
00:30:23,560 --> 00:30:26,880
Speaker 1: my Wi Fi and cellular signal.

548
00:30:26,960 --> 00:30:30,640
Speaker 2: Like, now I'm freaked out. Now I'm sorry.

549
00:30:31,600 --> 00:30:36,680
Speaker 3: I think that's absolutely horrifying. Yeah, that is a nightmare scenario.

550
00:30:37,000 --> 00:30:39,440
Speaker 3: That is truly nightmare. Truly.

551
00:30:40,120 --> 00:30:43,960
Speaker 1: It also feels like not the way you would attack

552
00:30:44,080 --> 00:30:47,560
Speaker 1: someone's communication is to just blow all of the satellites

553
00:30:47,600 --> 00:30:49,440
Speaker 1: out of the sky with a nuclear weapon.

554
00:30:49,760 --> 00:30:52,360
Speaker 2: Like that's where you're wrong. That's where you're wrong. It's

555
00:30:52,400 --> 00:30:54,560
Speaker 2: not going to blow it. They're actually going to just

556
00:30:54,680 --> 00:30:57,520
Speaker 2: have it ram into the satellites and break them. So

557
00:30:57,800 --> 00:31:00,640
Speaker 2: no explosives, It's going to orbit around, bumping in satellites.

558
00:31:00,800 --> 00:31:04,120
Speaker 2: I believe it's what Mike, Mike Turner or whoever this

559
00:31:05,200 --> 00:31:06,640
Speaker 2: for you in the room, What the hell?

560
00:31:07,120 --> 00:31:09,480
Speaker 3: You know A lot of a lot of circles, you know,

561
00:31:09,560 --> 00:31:10,560
Speaker 3: a lot of details.

562
00:31:11,280 --> 00:31:14,560
Speaker 2: It's a bumper car, nuclear power, bumps, bumper nuke.

563
00:31:15,840 --> 00:31:16,000
Speaker 1: Yeah.

564
00:31:16,080 --> 00:31:17,960
Speaker 2: Yeah, it's terrifying.

565
00:31:18,840 --> 00:31:21,480
Speaker 3: Look, I mean it's a conversation, but with the idea

566
00:31:21,640 --> 00:31:27,720
Speaker 3: of knocking out communication is terrifying. Yeah, because everything runs

567
00:31:27,800 --> 00:31:29,400
Speaker 3: on everything runs.

568
00:31:29,240 --> 00:31:37,840
Speaker 2: On it now, Yeah, for sure, I guess yeah, trains, automobiles. Yeah.

569
00:31:42,880 --> 00:31:46,080
Speaker 2: I just saw all the water come out of Jack's

570
00:31:46,120 --> 00:31:49,400
Speaker 2: body when he had to say automobiles. Yeah, like you're

571
00:31:49,440 --> 00:31:50,560
Speaker 2: all skin and teeth.

572
00:31:51,960 --> 00:31:52,960
Speaker 3: We had to say it.

573
00:31:53,760 --> 00:31:56,760
Speaker 2: Yeah, I'm sorry I put you in that position. I

574
00:31:56,920 --> 00:31:59,560
Speaker 2: thought this was already happening. I just figured they were

575
00:31:59,560 --> 00:32:03,280
Speaker 2: already in space, that we had them. Yeah.

576
00:32:03,680 --> 00:32:06,200
Speaker 1: Yeah, I feel like there's going to be lots of

577
00:32:07,280 --> 00:32:12,240
Speaker 1: satellite based warfare happening in the near future. It just

578
00:32:12,400 --> 00:32:15,520
Speaker 1: it feels less scary than the idea of that. The

579
00:32:15,680 --> 00:32:19,200
Speaker 1: headline was communicating to me that a nuclear weapon was

580
00:32:19,280 --> 00:32:22,200
Speaker 1: going to be shot from space at us and we

581
00:32:22,240 --> 00:32:25,560
Speaker 1: wouldn't have any warning and everything go boom. People are

582
00:32:25,600 --> 00:32:29,240
Speaker 1: pointing out like so, everyone was like, so why did

583
00:32:29,320 --> 00:32:32,120
Speaker 1: he just like leak the scariest possible version of this

584
00:32:32,320 --> 00:32:37,040
Speaker 1: story that we've known about for many years that has

585
00:32:37,160 --> 00:32:40,800
Speaker 1: been like an ongoing, you know, piece of information that

586
00:32:40,960 --> 00:32:45,920
Speaker 1: the intelligence committees were aware of, and people think it's possible.

587
00:32:46,000 --> 00:32:50,320
Speaker 1: Reasons have to do with trying to make people more

588
00:32:50,360 --> 00:32:54,360
Speaker 1: scared of Russia to get the Ukraine Israel funding bill

589
00:32:54,800 --> 00:32:58,440
Speaker 1: through the House where it is currently stalled out. There's

590
00:32:58,520 --> 00:33:03,680
Speaker 1: also a bill coming up that affects the government's ability

591
00:33:03,760 --> 00:33:07,479
Speaker 1: to spy on us, and so if they can get

592
00:33:07,560 --> 00:33:11,120
Speaker 1: people scared enough, they feel like, maybe, you know, they

593
00:33:11,200 --> 00:33:13,960
Speaker 1: need a good scare around. Every time that thing is

594
00:33:14,040 --> 00:33:17,240
Speaker 1: getting ratified or re ratified.

595
00:33:16,960 --> 00:33:20,320
Speaker 3: Feels very smoke bomby. Yes, yeah, yeah, you know, it's

596
00:33:20,400 --> 00:33:23,400
Speaker 3: just very much like just throwing out smoke bomb. H

597
00:33:23,440 --> 00:33:25,840
Speaker 3: don't look over here, look over there. All the fires

598
00:33:25,880 --> 00:33:28,800
Speaker 3: over there, Wait, the fires over there. Yeah, my ex

599
00:33:28,880 --> 00:33:29,520
Speaker 3: husband's used.

600
00:33:29,440 --> 00:33:34,560
Speaker 1: To do that, right with literal smoke you've mainly been

601
00:33:35,080 --> 00:33:35,440
Speaker 1: married to.

602
00:33:35,880 --> 00:33:36,960
Speaker 4: I would be like, I would be.

603
00:33:37,040 --> 00:33:39,560
Speaker 3: Like, there's a smoke bomb. You're like look over there,

604
00:33:39,720 --> 00:33:41,920
Speaker 3: and I'm like, I'm still right here. I'm not moving

605
00:33:42,000 --> 00:33:44,960
Speaker 3: my gaze, man, my daze stays right here where it

606
00:33:45,000 --> 00:33:48,400
Speaker 3: should be. But is that that's the tactic and it's

607
00:33:48,560 --> 00:33:53,480
Speaker 3: just really stupidly tried and true type of typical tact.

608
00:33:54,000 --> 00:33:54,200
Speaker 2: Yeah.

609
00:33:54,320 --> 00:33:58,440
Speaker 1: Even Representative Andy Ogels, which that can't be a real name,

610
00:33:58,480 --> 00:34:00,880
Speaker 1: but we'll go with it. On Thursday, Ques Turner of

611
00:34:00,960 --> 00:34:04,400
Speaker 1: having ulterior motives, citing the battle over both funding for

612
00:34:04,560 --> 00:34:07,840
Speaker 1: Ukraine and a bill to reauthorize the nation's warrant less

613
00:34:07,920 --> 00:34:12,560
Speaker 1: by powers, each of which has raised some opposition. By

614
00:34:12,560 --> 00:34:17,239
Speaker 1: the way, Andy Ogles is a Republican from Tennessee. So

615
00:34:17,360 --> 00:34:20,080
Speaker 1: he's like in this guy's party and he's like, guys,

616
00:34:20,719 --> 00:34:22,359
Speaker 1: this is for real.

617
00:34:22,640 --> 00:34:25,440
Speaker 2: This is dumb. And they said, yes, for real, this

618
00:34:25,640 --> 00:34:28,319
Speaker 2: is dumb. And that's really You.

619
00:34:28,360 --> 00:34:30,359
Speaker 3: Gotta assume that there's always some truth in these things.

620
00:34:31,200 --> 00:34:33,600
Speaker 2: Yeah, I mean the intelligence.

621
00:34:33,040 --> 00:34:35,680
Speaker 3: It's still smoke, like there's still something happening.

622
00:34:36,200 --> 00:34:36,760
Speaker 2: It definitely.

623
00:34:37,719 --> 00:34:43,040
Speaker 1: It created a new action movie in my mind, Oh boy,

624
00:34:43,560 --> 00:34:46,560
Speaker 1: where we're like blowing each other's satellites out of the

625
00:34:46,640 --> 00:34:50,000
Speaker 1: sky and it's like satellite Wars and.

626
00:34:50,480 --> 00:34:54,520
Speaker 2: It is Tyreese and ludicrous in a car that.

627
00:34:54,640 --> 00:34:55,320
Speaker 3: Has been.

628
00:34:58,440 --> 00:35:01,399
Speaker 1: Yes, like something similar happens in one of the Fast

629
00:35:01,440 --> 00:35:05,760
Speaker 1: and Furious movies, but they instead of blowing a satellite

630
00:35:05,840 --> 00:35:10,680
Speaker 1: up with uh nuke, they drive into space in a car.

631
00:35:11,040 --> 00:35:13,960
Speaker 2: Yes, and yes it is still a car. It's important

632
00:35:14,000 --> 00:35:16,480
Speaker 2: to note it's not a plane. It's not a satellite,

633
00:35:16,520 --> 00:35:19,239
Speaker 2: it is a car, so it still fits in vital. Yeah,

634
00:35:19,239 --> 00:35:23,960
Speaker 2: it is vital. There's a there's a show on by

635
00:35:23,960 --> 00:35:25,480
Speaker 2: the way. I love that, Like you have me as

636
00:35:25,480 --> 00:35:27,640
Speaker 2: a co host and all my expertise is from someone

637
00:35:27,680 --> 00:35:32,000
Speaker 2: who just got an Apple Plus subscription. But show on

638
00:35:32,520 --> 00:35:36,640
Speaker 2: Apple Plus season two where it's called for All Mankind

639
00:35:37,239 --> 00:35:43,160
Speaker 2: and the premise is if the Soviets won the space race. Yeah,

640
00:35:43,239 --> 00:35:46,160
Speaker 2: and we've had already on the show before. Yeah. I

641
00:35:46,400 --> 00:35:48,680
Speaker 2: really really like it and it's kind of a vehicle

642
00:35:48,880 --> 00:35:52,760
Speaker 2: to There are some like corny parts where like Ted

643
00:35:52,880 --> 00:35:56,560
Speaker 2: Kennedy becomes president because chap equittic doesn't happen because of

644
00:35:56,640 --> 00:36:00,880
Speaker 2: like a scheduling issue. Yeah, but uh, it is a

645
00:36:01,000 --> 00:36:03,879
Speaker 2: similar premise. I think like later in the show there

646
00:36:03,960 --> 00:36:08,239
Speaker 2: might be uh nuke nukean space situation or whatever. But

647
00:36:08,600 --> 00:36:10,520
Speaker 2: it is a good show. It sounds like a total

648
00:36:10,600 --> 00:36:14,839
Speaker 2: bullshit boring premise, like, okay, but it's good.

649
00:36:15,440 --> 00:36:17,160
Speaker 3: Did you see what you leave the world behind?

650
00:36:18,080 --> 00:36:20,480
Speaker 2: Yeah, no, but we talked about.

651
00:36:21,840 --> 00:36:24,239
Speaker 3: I'm sorry, I actually had to look up the name

652
00:36:24,280 --> 00:36:27,279
Speaker 3: because I just know iticed the the Amahasharat Ali, that

653
00:36:27,400 --> 00:36:30,480
Speaker 3: beautiful man and the Obama movie, and I was that's

654
00:36:30,560 --> 00:36:32,919
Speaker 3: exactly the promise. The satellites are out and it throws

655
00:36:32,960 --> 00:36:35,080
Speaker 3: the world into complete chaos and planes fall out of

656
00:36:35,120 --> 00:36:37,719
Speaker 3: the sky and it's it's horrifying.

657
00:36:38,360 --> 00:36:41,160
Speaker 2: Yeah, what plan is that? What would happen if the

658
00:36:41,200 --> 00:36:44,319
Speaker 2: satellites went out? They would just be like, well, there

659
00:36:44,440 --> 00:36:47,720
Speaker 2: goes that. Guys.

660
00:36:47,760 --> 00:36:50,120
Speaker 1: We were really dependent on the satellite up here in

661
00:36:50,200 --> 00:36:54,200
Speaker 1: the flight deck, so we're just gonna take her down rapidly.

662
00:36:54,440 --> 00:36:55,960
Speaker 3: We don't know how to fly this thing.

663
00:36:57,480 --> 00:36:58,480
Speaker 1: We're just here for.

664
00:37:00,200 --> 00:37:01,000
Speaker 3: Y'all. Feel better.

665
00:37:01,719 --> 00:37:04,960
Speaker 2: Yeah, I don't know. The satellites are magnets that keep

666
00:37:05,040 --> 00:37:06,279
Speaker 2: the plane up in the air.

667
00:37:07,680 --> 00:37:10,319
Speaker 1: That movie seems like it was very full of shit

668
00:37:10,400 --> 00:37:12,560
Speaker 1: to me, but maybe, well, yeah.

669
00:37:12,560 --> 00:37:19,600
Speaker 3: It's still scary. Still scary, all right.

670
00:37:19,800 --> 00:37:22,440
Speaker 1: So, being of the difference between like real fears and

671
00:37:22,600 --> 00:37:28,240
Speaker 1: bullshit fears, we got this new glimpse of the future

672
00:37:28,320 --> 00:37:33,520
Speaker 1: with AI where America is using AI to continue to

673
00:37:33,680 --> 00:37:38,800
Speaker 1: innovate new and exciting ways to make life miserable for

674
00:37:39,000 --> 00:37:43,080
Speaker 1: the most vulnerable people in our country, and that in

675
00:37:43,200 --> 00:37:46,920
Speaker 1: the in this instance, that means soul crushing hurdles for

676
00:37:47,080 --> 00:37:50,400
Speaker 1: people to jump through in order to simply apply to

677
00:37:50,560 --> 00:37:55,320
Speaker 1: work for McDonald's. So companies like FedEx, McDonald's and Darden,

678
00:37:55,880 --> 00:37:59,279
Speaker 1: who is the company the restaurant group that you know

679
00:37:59,400 --> 00:38:02,640
Speaker 1: has all of Garden, et cetera, are all clients of

680
00:38:03,239 --> 00:38:08,000
Speaker 1: Paradox dot Ai, a tech startup that helps them out

681
00:38:08,120 --> 00:38:13,680
Speaker 1: with the hiring process. And it's got so it asks

682
00:38:14,239 --> 00:38:19,239
Speaker 1: applicants to go through a lengthy and completely baffling personality

683
00:38:19,360 --> 00:38:25,920
Speaker 1: test starring a blue humanoid alien named Ash, and, as

684
00:38:26,000 --> 00:38:30,000
Speaker 1: one applicant complained on Reddit, quote man, I just want

685
00:38:30,040 --> 00:38:31,040
Speaker 1: a dishwasher job.

686
00:38:32,560 --> 00:38:36,440
Speaker 2: Why this shit?

687
00:38:37,560 --> 00:38:37,600
Speaker 3: So?

688
00:38:37,920 --> 00:38:39,960
Speaker 1: As outlined in an article I'm for for media, the

689
00:38:40,080 --> 00:38:44,000
Speaker 1: test consists of images featuring Ash in a variety of

690
00:38:44,120 --> 00:38:48,040
Speaker 1: situations and you have to click on one of two boxes,

691
00:38:48,480 --> 00:38:53,120
Speaker 1: either me or not me. And some of the images

692
00:38:54,040 --> 00:38:56,840
Speaker 1: like make sense within the context of a job application,

693
00:38:57,360 --> 00:38:59,680
Speaker 1: like there's one in which Ash is being yelled at

694
00:38:59,760 --> 00:39:03,160
Speaker 1: by customer. Also, a blue humanoid alien kind of looks

695
00:39:03,239 --> 00:39:07,520
Speaker 1: like if Pixar made an Avatar movie set entirely inside

696
00:39:07,520 --> 00:39:10,640
Speaker 1: an olive garden and it was like the year nineteen

697
00:39:10,719 --> 00:39:14,680
Speaker 1: ninety one, because the you know, humanoid aliens, aren't.

698
00:39:14,560 --> 00:39:16,959
Speaker 2: I agree like that a second what you just said,

699
00:39:17,560 --> 00:39:18,560
Speaker 2: I would I would watch that.

700
00:39:19,080 --> 00:39:24,560
Speaker 1: Yeah, yeah, there you go, Jos. But so you have

701
00:39:24,680 --> 00:39:27,399
Speaker 1: to answer it's like, what does this say not much

702
00:39:27,560 --> 00:39:30,520
Speaker 1: bothers me me or not me? I think we know

703
00:39:30,600 --> 00:39:33,480
Speaker 1: the answer to that one, right, Like that's yes. If

704
00:39:33,520 --> 00:39:36,040
Speaker 1: you've if you've had to just like ace a personality

705
00:39:36,160 --> 00:39:39,080
Speaker 1: test for a job interview before, Yeah, no, that's me.

706
00:39:39,239 --> 00:39:43,960
Speaker 1: Nothing bothers me. I like, actually, people screaming in my face.

707
00:39:43,920 --> 00:39:47,160
Speaker 2: That's my food. That's actually how I you know, how.

708
00:39:47,120 --> 00:39:49,759
Speaker 1: Can kong off our screams?

709
00:39:50,440 --> 00:39:53,719
Speaker 3: And yeah, so you have no bananas?

710
00:39:54,680 --> 00:39:58,320
Speaker 1: Yeah right, no need for gigantic bananas because you just

711
00:39:58,440 --> 00:40:02,200
Speaker 1: feed me your customer. There is derision and that is

712
00:40:02,280 --> 00:40:03,480
Speaker 1: what gets me through the day.

713
00:40:06,560 --> 00:40:12,480
Speaker 2: Yeah. Third option, yes, endless, but you have bottomless karens.

714
00:40:20,800 --> 00:40:28,320
Speaker 1: Yes. Other images are like kind of existential and just

715
00:40:28,400 --> 00:40:31,040
Speaker 1: like kind of random feeling, like one where Ash has

716
00:40:31,120 --> 00:40:35,760
Speaker 1: fallen off a bicycle that is like a sci fi bicycle,

717
00:40:36,000 --> 00:40:38,400
Speaker 1: like one of the wheels doesn't have spokes on it,

718
00:40:38,840 --> 00:40:41,920
Speaker 1: it seems like and hurt his knee, accompanied by the

719
00:40:42,000 --> 00:40:48,879
Speaker 1: caption things happen to me me not me. I mean,

720
00:40:50,000 --> 00:40:53,520
Speaker 1: I don't know how you could possibly take an answer

721
00:40:54,680 --> 00:40:58,719
Speaker 1: to that question and hold it either against someone or

722
00:40:58,880 --> 00:41:01,799
Speaker 1: like for them like I can.

723
00:41:02,280 --> 00:41:05,480
Speaker 2: It's very clear. So if you you don't want to

724
00:41:05,600 --> 00:41:09,480
Speaker 2: hire someone who just shit happens to them all the time,

725
00:41:09,640 --> 00:41:12,759
Speaker 2: like it's a liability. People can fall off bikes, Like

726
00:41:12,880 --> 00:41:17,480
Speaker 2: when something happens to you, Jack, it's your fault. Does

727
00:41:17,520 --> 00:41:19,680
Speaker 2: that make sense? So things don't happen to me.

728
00:41:20,239 --> 00:41:24,080
Speaker 1: I go through the world dominating everything I see, and

729
00:41:24,440 --> 00:41:27,000
Speaker 1: that is what's going to make me a good dishwasher

730
00:41:27,280 --> 00:41:28,640
Speaker 1: at Olive Garden.

731
00:41:28,920 --> 00:41:32,080
Speaker 3: And you're not gonna you fell off your bike.

732
00:41:32,600 --> 00:41:34,600
Speaker 2: That's correct, that's correct.

733
00:41:34,719 --> 00:41:35,120
Speaker 3: Bikes.

734
00:41:35,600 --> 00:41:38,080
Speaker 2: Things happen to me. Things happen.

735
00:41:38,160 --> 00:41:40,520
Speaker 1: It's like such a philosophical question.

736
00:41:41,040 --> 00:41:44,359
Speaker 3: It's really personality tests them.

737
00:41:44,719 --> 00:41:48,759
Speaker 1: Absolutely, we will get to that. It is complete guard Yeah,

738
00:41:49,080 --> 00:41:51,000
Speaker 1: but it's just like I'm just trying to put myself

739
00:41:51,040 --> 00:41:54,680
Speaker 1: in the position of like the poor fucking people. And

740
00:41:54,840 --> 00:41:57,520
Speaker 1: also like you're going to a website that says like

741
00:41:57,680 --> 00:42:00,160
Speaker 1: dot ai, so you're like, oh, this is like some

742
00:42:00,280 --> 00:42:05,000
Speaker 1: next level like computer mind shit where it's like judging

743
00:42:05,120 --> 00:42:08,720
Speaker 1: me and telling me like I'm worthy or not worthy,

744
00:42:09,239 --> 00:42:13,080
Speaker 1: and like somehow there's a blue humanoid alien involved. It's

745
00:42:13,239 --> 00:42:17,839
Speaker 1: just it's like this extra little mind fuck to make

746
00:42:17,920 --> 00:42:20,600
Speaker 1: the thing seem impressive.

747
00:42:20,920 --> 00:42:24,960
Speaker 2: I guess dot I mean smart. Yeah, Like that's that's

748
00:42:25,000 --> 00:42:27,200
Speaker 2: what it's Oh, so I'm actually done. It makes you

749
00:42:27,239 --> 00:42:30,279
Speaker 2: feel even more inadequate, probably because there's also in you know,

750
00:42:30,640 --> 00:42:34,960
Speaker 2: it's being like financial literacy also internet literacy and these

751
00:42:35,080 --> 00:42:38,520
Speaker 2: questions where the these poor applicants are going to get

752
00:42:38,880 --> 00:42:40,759
Speaker 2: just so in their head, and not only is it

753
00:42:40,840 --> 00:42:43,120
Speaker 2: going to be a nightmare experience to get the end

754
00:42:43,719 --> 00:42:46,719
Speaker 2: goal of getting a job, they also are gonna not

755
00:42:47,000 --> 00:42:49,560
Speaker 2: feel as good about themselves and it's going to cause

756
00:42:49,600 --> 00:42:52,960
Speaker 2: more stress in an already stressful situation. This is a bomber.

757
00:42:54,440 --> 00:42:58,000
Speaker 3: That's what they're trying to do. Yeah, there's always watching you.

758
00:42:58,120 --> 00:43:00,759
Speaker 1: That's what they're trying to make you feel like you

759
00:43:00,880 --> 00:43:03,480
Speaker 1: just made big brother sound cool though you called him,

760
00:43:05,960 --> 00:43:12,840
Speaker 1: yeah brother a brother. The the images are probably AI

761
00:43:13,000 --> 00:43:16,839
Speaker 1: generated and that's basically all is that is AI about

762
00:43:16,880 --> 00:43:18,879
Speaker 1: this because the test seems to be just a good

763
00:43:18,880 --> 00:43:23,120
Speaker 1: old fashioned personality test, relying on the Ocean model, which

764
00:43:23,239 --> 00:43:27,080
Speaker 1: was created back in the eighties, and the big five

765
00:43:27,200 --> 00:43:32,800
Speaker 1: categories they say matter like why it's called ocean is openness, conscientiousness,

766
00:43:33,200 --> 00:43:36,600
Speaker 1: extra version, agreeableness, and neuroticism.

767
00:43:37,320 --> 00:43:39,880
Speaker 2: You don't want to score big on the neuroticism scale.

768
00:43:40,000 --> 00:43:42,480
Speaker 3: I'll tell you that detailer job.

769
00:43:42,880 --> 00:43:43,200
Speaker 2: Oh you do?

770
00:43:43,600 --> 00:43:48,440
Speaker 1: Oh shit, yeah, I've just that. No wonder, I have need,

771
00:43:49,840 --> 00:43:52,839
Speaker 1: no wonder. I was the worst waiter of all time.

772
00:43:53,239 --> 00:43:55,279
Speaker 1: I was actually a pretty good dishwasher though, and a

773
00:43:55,320 --> 00:44:00,640
Speaker 1: pretty good butler, but could not Yeah, fucking at being

774
00:44:00,680 --> 00:44:01,080
Speaker 1: a waiter.

775
00:44:02,360 --> 00:44:04,440
Speaker 2: You've been too hard on yourself. I'm sure you were fine. You.

776
00:44:04,560 --> 00:44:05,719
Speaker 3: I was going to say, if you could be a

777
00:44:05,800 --> 00:44:09,560
Speaker 3: good butler, you had have to have been a good server.

778
00:44:10,320 --> 00:44:12,640
Speaker 1: Better than I was a better butler than a waiter,

779
00:44:13,200 --> 00:44:16,120
Speaker 1: but not a very good not very good at that either.

780
00:44:16,320 --> 00:44:20,160
Speaker 1: There was one time where a woman was like, all right,

781
00:44:20,280 --> 00:44:22,719
Speaker 1: we have a wedding, like I need you to iron

782
00:44:22,840 --> 00:44:25,120
Speaker 1: this for me, and I brought it back and she

783
00:44:25,280 --> 00:44:29,440
Speaker 1: was like, could you bring me the iron and just

784
00:44:30,040 --> 00:44:32,440
Speaker 1: and then let me watch her do it. She was like,

785
00:44:32,920 --> 00:44:35,040
Speaker 1: you should watch. They say you're being better at this.

786
00:44:35,719 --> 00:44:39,640
Speaker 2: Yeah, you suck at this. You were a butler, because

787
00:44:39,640 --> 00:44:41,759
Speaker 2: I just accepted that as a normal answer, that you

788
00:44:41,840 --> 00:44:42,400
Speaker 2: were a butler.

789
00:44:42,480 --> 00:44:42,799
Speaker 5: And then.

790
00:44:45,080 --> 00:44:47,640
Speaker 1: At a British hotel it was a butler, of course.

791
00:44:48,040 --> 00:44:53,160
Speaker 2: Yeah. It's like a bel at a British hotel. Yeah,

792
00:44:53,880 --> 00:44:56,720
Speaker 2: the butler, I do have butler face.

793
00:44:58,160 --> 00:45:01,800
Speaker 1: My mouth is always like a little a quosity.

794
00:45:02,360 --> 00:45:06,080
Speaker 3: It's a different RBF and he's got it correct.

795
00:45:06,200 --> 00:45:09,680
Speaker 1: But yeah, So the actual AI offered by the company

796
00:45:10,280 --> 00:45:13,680
Speaker 1: is actually a chat bot named other than the cool

797
00:45:14,040 --> 00:45:17,279
Speaker 1: ash pictures that accompany the test, a chat bot named

798
00:45:17,320 --> 00:45:22,160
Speaker 1: Olivia who takes applicants through the application process, helps hiring

799
00:45:22,239 --> 00:45:26,759
Speaker 1: managers filter through applicants and schedule interviews and is and

800
00:45:26,840 --> 00:45:28,839
Speaker 1: you're going to be shocked to hear this if you've

801
00:45:28,880 --> 00:45:33,240
Speaker 1: ever used like a non human assistant is fucking terrible

802
00:45:33,320 --> 00:45:34,000
Speaker 1: at their job.

803
00:45:36,960 --> 00:45:39,759
Speaker 2: Yeah, I'm sorry. I didn't understand that. I'm sorry. I

804
00:45:39,800 --> 00:45:42,239
Speaker 2: didn't understand that. I'm sorry. I didn't understand that. It's

805
00:45:42,280 --> 00:45:44,160
Speaker 2: just the same message you get over and over and

806
00:45:44,239 --> 00:45:46,879
Speaker 2: over again. God forbid, you have a person a job? Yeah,

807
00:45:47,600 --> 00:45:48,000
Speaker 2: to do it.

808
00:45:48,840 --> 00:45:51,160
Speaker 1: I'll start believing in this technology when I'm on a

809
00:45:51,239 --> 00:45:55,279
Speaker 1: phone tree and like my brain doesn't immediately be like

810
00:45:55,520 --> 00:45:59,080
Speaker 1: operator operator, let me speak to a human please, could

811
00:45:59,120 --> 00:45:59,600
Speaker 1: I speak?

812
00:46:00,080 --> 00:46:03,439
Speaker 2: Yeah, I've just never things are happening to me. These

813
00:46:03,480 --> 00:46:06,520
Speaker 2: things are happening to me right now. This is what

814
00:46:06,560 --> 00:46:10,880
Speaker 2: I'm talking about Yes, I listen, it's all this.

815
00:46:11,160 --> 00:46:15,239
Speaker 3: Two things psych it's it's biah in this. This is

816
00:46:15,320 --> 00:46:18,000
Speaker 3: not smart. This is not smart stuff. Come on people,

817
00:46:18,320 --> 00:46:21,680
Speaker 3: come on. Look, there's a sales guy from the tech

818
00:46:21,760 --> 00:46:25,520
Speaker 3: company who goes to Mickeyd's headquarters and goes, guys, I

819
00:46:25,560 --> 00:46:27,360
Speaker 3: got this new technology and you really need to and

820
00:46:27,440 --> 00:46:29,120
Speaker 3: I really help you with your bottom blah blah blah,

821
00:46:29,120 --> 00:46:31,080
Speaker 3: And it's all a bunch of BS numbers and they're like, well,

822
00:46:31,160 --> 00:46:32,440
Speaker 3: that's cool, sign us up.

823
00:46:32,880 --> 00:46:34,120
Speaker 1: This is this is all it is.

824
00:46:34,520 --> 00:46:38,840
Speaker 2: Yeah, it's amusing but sad to that point.

825
00:46:40,080 --> 00:46:44,200
Speaker 1: Paradox is valued at one point five billion dollars, and

826
00:46:44,360 --> 00:46:46,960
Speaker 1: yet most of these hiring chatbots are not even as

827
00:46:47,040 --> 00:46:51,920
Speaker 1: advanced or elaborate as chad GPT. They are rudimentary and

828
00:46:52,040 --> 00:46:56,800
Speaker 1: can only ask basic questions, so brutal. Yeah, it's just

829
00:46:56,880 --> 00:47:02,319
Speaker 1: a blue humanoid alien gloss on the same shit that's

830
00:47:02,320 --> 00:47:06,280
Speaker 1: been happening. And everybody has recognized if you throw AI

831
00:47:06,520 --> 00:47:10,600
Speaker 1: on it, it's gonna it's going to sell your salespeople

832
00:47:10,600 --> 00:47:13,560
Speaker 1: are going to have a much easier time selling it

833
00:47:13,640 --> 00:47:16,480
Speaker 1: because everybody's just like, wow, if you want me to.

834
00:47:16,520 --> 00:47:19,800
Speaker 3: Not like you right away, do one of the same Oh,

835
00:47:19,880 --> 00:47:23,120
Speaker 3: what's your what's your personality test or what's your what's

836
00:47:23,160 --> 00:47:25,759
Speaker 3: your your ocean or what's your blah blah blah. That's

837
00:47:25,840 --> 00:47:29,120
Speaker 3: actually happened, actually had people do that. Yeah, I'd rather

838
00:47:29,239 --> 00:47:33,000
Speaker 3: you ask me my goddamn sign. Yeah, like just don't

839
00:47:33,880 --> 00:47:36,400
Speaker 3: Yeah bad, I'm sorry.

840
00:47:36,719 --> 00:47:39,080
Speaker 1: Yeah no, it's it's all bullshit. And there is like

841
00:47:39,280 --> 00:47:44,160
Speaker 1: interesting stuff being done in AI, Like I think right

842
00:47:44,239 --> 00:47:47,120
Speaker 1: now they're trying to like, you know, they figured out

843
00:47:47,239 --> 00:47:50,040
Speaker 1: the folding of like how proteins are folded. That is

844
00:47:50,200 --> 00:47:53,719
Speaker 1: still the thing that I'm going to like AI. It

845
00:47:53,960 --> 00:47:58,680
Speaker 1: has solved a scientific medical issue that is going to

846
00:47:59,520 --> 00:48:03,360
Speaker 1: help into cure disease. So great, it was all worth it.

847
00:48:04,000 --> 00:48:06,640
Speaker 1: But it's just once it gets into the level of

848
00:48:07,080 --> 00:48:10,960
Speaker 1: if a salesperson is trying to sell it, then you're

849
00:48:11,120 --> 00:48:14,800
Speaker 1: probably fucked in some way. It's not like trying to

850
00:48:14,960 --> 00:48:19,680
Speaker 1: solve a existing problem like I don't know, death, Yeah,

851
00:48:19,920 --> 00:48:23,040
Speaker 1: it's not gonna be good. There's also a new one

852
00:48:23,080 --> 00:48:26,040
Speaker 1: that I just read about where they're trying an AI

853
00:48:26,200 --> 00:48:30,480
Speaker 1: is trying to figure out how to translate smell like

854
00:48:31,040 --> 00:48:35,080
Speaker 1: a so a computer can like evaluate a smell of bananas,

855
00:48:35,200 --> 00:48:38,280
Speaker 1: so they can create more realistic banana breath for kinj

856
00:48:38,400 --> 00:48:44,200
Speaker 1: kanj for kim. Yeah, but like that smell is actually

857
00:48:45,080 --> 00:48:47,080
Speaker 1: like if you've ever seen dogs who can like smell

858
00:48:47,200 --> 00:48:52,680
Speaker 1: cancer and like like various diseases have sense, and so

859
00:48:53,360 --> 00:48:56,400
Speaker 1: it would be like an amazing breakthrough. It would be

860
00:48:56,520 --> 00:48:59,719
Speaker 1: like basically what Farahnose was promising with like just a

861
00:48:59,800 --> 00:49:01,399
Speaker 1: time I need a bit of blanks. If you don't

862
00:49:01,400 --> 00:49:03,160
Speaker 1: need any blood, it just like comes up and kind

863
00:49:03,200 --> 00:49:09,080
Speaker 1: of you get sniffed by a robot. So it seems

864
00:49:09,080 --> 00:49:13,359
Speaker 1: a little unnerving, but I like it. Where Yeah, that's

865
00:49:13,400 --> 00:49:13,879
Speaker 1: a good point.

866
00:49:14,239 --> 00:49:15,879
Speaker 2: Yeah, that's it's a good point.

867
00:49:16,239 --> 00:49:17,960
Speaker 3: That's an excellent I take it back as long as

868
00:49:18,000 --> 00:49:20,600
Speaker 3: it's not ANTHROPOMORPHI.

869
00:49:19,760 --> 00:49:24,680
Speaker 1: Rob Yeah, yeah, come here, come here, let me let

870
00:49:24,760 --> 00:49:25,440
Speaker 1: me get a whiff of you.

871
00:49:26,760 --> 00:49:31,080
Speaker 2: Give just if this is a thing is an object,

872
00:49:31,320 --> 00:49:34,680
Speaker 2: why'd you make it a person? Get over here, let

873
00:49:34,719 --> 00:49:37,640
Speaker 2: me get a good whiff of you. Why is its

874
00:49:37,680 --> 00:49:38,359
Speaker 2: voice so low?

875
00:49:39,840 --> 00:49:44,000
Speaker 1: The smelly gets smoked cigarettes. Yeah all right, Uh, let's

876
00:49:44,040 --> 00:49:45,120
Speaker 1: take a quick break and.

877
00:49:45,320 --> 00:49:48,640
Speaker 2: We'll come back and talk about Tesla will be right back.

878
00:49:48,880 --> 00:50:04,480
Speaker 1: We'll be right back, and we're back, and so cyber

879
00:50:04,600 --> 00:50:08,320
Speaker 1: trucks are already you know, they finally shipped about a

880
00:50:08,400 --> 00:50:11,120
Speaker 1: month and a half ago, started selling to a lot

881
00:50:11,160 --> 00:50:15,440
Speaker 1: of Lumfaan boys, started selling above sticker being traded on

882
00:50:15,600 --> 00:50:18,640
Speaker 1: stock x like they were a pair of sneakers. But

883
00:50:18,760 --> 00:50:21,160
Speaker 1: now people are pointing out, like now they've had a

884
00:50:21,200 --> 00:50:25,360
Speaker 1: little time to spend with them, that this machine that

885
00:50:25,520 --> 00:50:28,160
Speaker 1: was supposed to be able to handle torrents of gunfire

886
00:50:29,080 --> 00:50:33,160
Speaker 1: cannot stand up to a little bit of rain. Unfortunately,

887
00:50:33,800 --> 00:50:38,160
Speaker 1: they've been complaining on forums about small orange flex appearing

888
00:50:38,200 --> 00:50:40,560
Speaker 1: on the car after driving it in the rain for

889
00:50:41,280 --> 00:50:43,640
Speaker 1: Oh but this is I mean, how how is a

890
00:50:43,719 --> 00:50:45,640
Speaker 1: car supposed to be able to stand out for they

891
00:50:45,680 --> 00:50:47,920
Speaker 1: were driving on the rain for two days. I mean,

892
00:50:48,080 --> 00:50:51,719
Speaker 1: come on, guys, cars can't hold Oh wait no, I

893
00:50:51,800 --> 00:50:55,560
Speaker 1: was thinking that's a that's a tissue box. Can't stand

894
00:50:55,719 --> 00:50:57,080
Speaker 1: to be outside for two days?

895
00:50:57,120 --> 00:51:00,479
Speaker 2: You make that mistake? Yeah all the time? God crying

896
00:51:00,520 --> 00:51:01,240
Speaker 2: on our friendship.

897
00:51:01,560 --> 00:51:04,080
Speaker 1: Yeah, I need to get the need to put the

898
00:51:04,120 --> 00:51:06,680
Speaker 1: poster backup that has car tissue box.

899
00:51:07,000 --> 00:51:10,680
Speaker 2: But yeah, so this is as a result of.

900
00:51:10,680 --> 00:51:15,840
Speaker 1: Its unusual stainless steel exoskeleton, which it also has a

901
00:51:15,880 --> 00:51:20,800
Speaker 1: trouble with stains. The owner's manual mentions the possibility of

902
00:51:20,880 --> 00:51:25,759
Speaker 1: corrosion with a surprisingly quote fussy maintenance guide for a

903
00:51:25,840 --> 00:51:29,719
Speaker 1: car that looks like it belongs to RoboCop, requiring drivers

904
00:51:29,800 --> 00:51:37,000
Speaker 1: to immediately remove corrosive substances like grease, oil, bird droppings,

905
00:51:37,280 --> 00:51:44,600
Speaker 1: tree resin, dead insects, tar spots, road salt, industrial fallout,

906
00:51:45,200 --> 00:51:45,680
Speaker 1: et cetera.

907
00:51:46,800 --> 00:51:48,000
Speaker 3: So never leave the garage.

908
00:51:48,360 --> 00:51:52,480
Speaker 1: Yes, this is like this feels like have you ever

909
00:51:52,640 --> 00:51:56,080
Speaker 1: like gotten a really expensive pair of shoes or like

910
00:51:56,960 --> 00:51:59,320
Speaker 1: like a really nice shirt and then you're just like

911
00:51:59,520 --> 00:52:02,680
Speaker 1: terrified to wear it like that. It's that if you

912
00:52:02,760 --> 00:52:06,000
Speaker 1: were like driving that shirt, driving around with that shirt

913
00:52:06,080 --> 00:52:10,440
Speaker 1: on the outside of your car, like you really well done.

914
00:52:10,480 --> 00:52:13,360
Speaker 3: It's supposed to be well made. It to lass you forever.

915
00:52:14,000 --> 00:52:18,160
Speaker 1: Yeah, that's the whole point, right. There's this substance on

916
00:52:18,239 --> 00:52:22,200
Speaker 1: the exterior of cars that's called the orange peel. That

917
00:52:22,440 --> 00:52:26,600
Speaker 1: is like this thick layer of wax and plastic that

918
00:52:27,040 --> 00:52:30,440
Speaker 1: is the thing that makes your car glossy, and it's

919
00:52:30,520 --> 00:52:34,120
Speaker 1: the thing that keeps your you know, the metal on

920
00:52:34,239 --> 00:52:39,719
Speaker 1: your car separated from the elements. And it's one of

921
00:52:39,760 --> 00:52:43,360
Speaker 1: those things that I'm sure Elon Musk didn't fuck with

922
00:52:43,440 --> 00:52:45,640
Speaker 1: because he wanted the car to look like it was

923
00:52:45,680 --> 00:52:50,120
Speaker 1: from the future, but it existed all these years for

924
00:52:50,200 --> 00:52:53,880
Speaker 1: a reason. It turns out like that. You can't just

925
00:52:54,000 --> 00:52:57,560
Speaker 1: have the metal that's inside the car just on the

926
00:52:57,640 --> 00:52:59,560
Speaker 1: outside of the car. It's going to look like a

927
00:52:59,640 --> 00:53:03,960
Speaker 1: rust it out piece of ship pretty soon, you know,

928
00:53:04,360 --> 00:53:06,279
Speaker 1: I mean, is that what it is?

929
00:53:06,640 --> 00:53:07,600
Speaker 3: Maybe you know?

930
00:53:08,120 --> 00:53:12,160
Speaker 2: Yeah, some some may say, some may say.

931
00:53:12,520 --> 00:53:15,160
Speaker 1: It says you have to like remove the like remove

932
00:53:15,400 --> 00:53:18,160
Speaker 1: a dead bug immediately from your car.

933
00:53:18,520 --> 00:53:22,560
Speaker 2: Is like so stressful. I can't imagine having pull over.

934
00:53:25,880 --> 00:53:31,480
Speaker 3: Bank has sat listen. Nobody looks cool.

935
00:53:31,280 --> 00:53:35,880
Speaker 2: In that thing. I think they look no, no, no no.

936
00:53:37,640 --> 00:53:41,440
Speaker 2: If I get a couple of I think if I

937
00:53:41,760 --> 00:53:44,319
Speaker 2: drove it shirtless, I could probably pull it off.

938
00:53:44,800 --> 00:53:46,680
Speaker 3: If you listen. If you're going to get a car

939
00:53:46,880 --> 00:53:49,840
Speaker 3: like that, you had better be full on looking like

940
00:53:50,000 --> 00:53:54,600
Speaker 3: freaking matrix. Okay, please.

941
00:53:56,360 --> 00:53:56,600
Speaker 1: Going to.

942
00:53:58,600 --> 00:54:03,160
Speaker 3: Have a car that falls apart in the rain, but yeah,

943
00:54:03,360 --> 00:54:09,000
Speaker 3: something about bullets. Just dress for the occasion. Please entertain us,

944
00:54:09,160 --> 00:54:11,280
Speaker 3: please with the full picture.

945
00:54:12,320 --> 00:54:15,759
Speaker 2: That is funny that it can repel bullets but not water.

946
00:54:16,760 --> 00:54:21,200
Speaker 1: It is a very Yeah, it is like the aliens

947
00:54:21,239 --> 00:54:25,000
Speaker 1: and signs poop. There you go.

948
00:54:25,520 --> 00:54:26,920
Speaker 3: Everything has a weakness.

949
00:54:27,320 --> 00:54:29,640
Speaker 1: Yeah, that would be a good that that should have

950
00:54:29,680 --> 00:54:31,919
Speaker 1: been the aliens and signs weakness not water.

951
00:54:33,680 --> 00:54:35,040
Speaker 2: I thought you're gonna say they should have all been

952
00:54:35,120 --> 00:54:35,920
Speaker 2: cyber trucks.

953
00:54:36,719 --> 00:54:39,080
Speaker 1: They should have all been driving around in cyber trucks.

954
00:54:39,120 --> 00:54:42,839
Speaker 2: That would have been Yeah, that would have been crazy. Yeah.

955
00:54:42,920 --> 00:54:45,719
Speaker 1: Now that the cyber truck owners are having to take

956
00:54:45,840 --> 00:54:51,880
Speaker 1: maintenance tips from people who owned another doomed stainless steel

957
00:54:52,280 --> 00:54:56,560
Speaker 1: vanity car, the DeLorean, and it's like, no, Actually, if

958
00:54:56,600 --> 00:54:58,400
Speaker 1: you like do wind decks like the second after you

959
00:54:58,480 --> 00:55:01,120
Speaker 1: drive it for five minutes, you can actually keep it

960
00:55:01,239 --> 00:55:03,960
Speaker 1: looking pretty good. But you have to like keep windex

961
00:55:04,040 --> 00:55:06,240
Speaker 1: with you and stop every two miles.

962
00:55:06,400 --> 00:55:07,120
Speaker 5: Oh my god.

963
00:55:07,760 --> 00:55:11,640
Speaker 2: Yeah, there's no passenger seats in it because it's the

964
00:55:11,760 --> 00:55:18,200
Speaker 2: loneliest people in the world. No need.

965
00:55:20,840 --> 00:55:23,759
Speaker 3: It's all right, but also too, you know, you want

966
00:55:23,800 --> 00:55:26,640
Speaker 3: to see some badass bulletproof cars, all you got to

967
00:55:26,680 --> 00:55:29,440
Speaker 3: do is go to South America. Man, they are everywhere

968
00:55:30,080 --> 00:55:34,560
Speaker 3: I've seen them. They look fire, and trust me, they're gorgeous.

969
00:55:34,640 --> 00:55:38,000
Speaker 3: The leather is fabulous, and the drivers like buff and

970
00:55:38,120 --> 00:55:40,839
Speaker 3: everyone looks fly. So that's all you need.

971
00:55:41,280 --> 00:55:43,840
Speaker 2: Like that, Yeah, I'm in con me in.

972
00:55:45,920 --> 00:55:48,960
Speaker 1: Worth, noting Tesla had the worst performance of any S

973
00:55:49,040 --> 00:55:51,680
Speaker 1: and P five hundred stock this year, So you know,

974
00:55:52,600 --> 00:55:55,440
Speaker 1: I don't know. It just feels like he's like the

975
00:55:56,000 --> 00:55:59,960
Speaker 1: stuff that has been evident to a lot of out

976
00:56:00,000 --> 00:56:02,319
Speaker 1: who are paying attention for a long time. Like even

977
00:56:03,000 --> 00:56:06,799
Speaker 1: the fanboys in the financial industry are starting to be like, wait,

978
00:56:06,880 --> 00:56:09,000
Speaker 1: but like, what if he doesn't know what the fuck

979
00:56:09,040 --> 00:56:14,040
Speaker 1: he's talking about? What if it's all Yeah, So anyways,

980
00:56:14,840 --> 00:56:15,640
Speaker 1: we'll keep.

981
00:56:15,520 --> 00:56:16,120
Speaker 2: Our eye on it.

982
00:56:16,400 --> 00:56:17,399
Speaker 3: Have nothing good to say.

983
00:56:17,680 --> 00:56:22,200
Speaker 1: This is market watch and uhket watch.

984
00:56:22,680 --> 00:56:26,799
Speaker 2: Yeh, finally the podcast has made this pivot, the pivot that.

985
00:56:28,680 --> 00:56:29,759
Speaker 3: That's what I'm talking about.

986
00:56:30,719 --> 00:56:34,000
Speaker 2: Let's do it. We're gonna have someone reading a ticker

987
00:56:34,480 --> 00:56:35,719
Speaker 2: throughout the entire Oh.

988
00:56:35,840 --> 00:56:37,759
Speaker 3: I would have so much fun, you don't even know.

989
00:56:38,000 --> 00:56:41,799
Speaker 3: I would give you the backstory of every CEO. It's

990
00:56:41,840 --> 00:56:43,200
Speaker 3: some one of my favorite pastimes.

991
00:56:43,640 --> 00:56:49,760
Speaker 2: CEO jur that's too interesting, too interesting? Yeah, just numbers.

992
00:56:50,320 --> 00:56:53,759
Speaker 1: You give us the craziest or most interesting story about

993
00:56:53,840 --> 00:56:56,239
Speaker 1: an anonymous US CEO that.

994
00:56:56,360 --> 00:56:59,360
Speaker 3: You well, there's no anon because everybody knows if I

995
00:56:59,400 --> 00:57:03,239
Speaker 3: say anything, but it's all playing out. Look look at

996
00:57:03,320 --> 00:57:05,000
Speaker 3: go look at who was on the cover of Forbes

997
00:57:05,040 --> 00:57:07,000
Speaker 3: Forbes even has its own thing about how many people

998
00:57:07,000 --> 00:57:10,880
Speaker 3: were on the cover of Forbes that are that were criminals. Wow, right,

999
00:57:11,840 --> 00:57:17,360
Speaker 3: criminals bitcoin three us right. Uh, we work like we've

1000
00:57:17,440 --> 00:57:20,280
Speaker 3: seen all this stuff. And one of the biggest signs

1001
00:57:20,320 --> 00:57:23,480
Speaker 3: is when somebody comes in like mister you know who

1002
00:57:23,920 --> 00:57:29,840
Speaker 3: and says they founded a company that they that's right

1003
00:57:29,880 --> 00:57:30,480
Speaker 3: off the bat.

1004
00:57:30,400 --> 00:57:32,720
Speaker 2: You know this this trashy interesting, right.

1005
00:57:33,280 --> 00:57:36,920
Speaker 3: Trash because anybody with a personality, let's go back to personalities,

1006
00:57:37,040 --> 00:57:39,000
Speaker 3: anybody in the personality that says something like that is

1007
00:57:39,040 --> 00:57:41,720
Speaker 3: a dangerous person meaning dangerous like they'll take your money

1008
00:57:41,840 --> 00:57:42,720
Speaker 3: and they won't give a shit.

1009
00:57:43,880 --> 00:57:46,080
Speaker 1: So be careful, people, keep your head on a swivel

1010
00:57:46,120 --> 00:57:48,520
Speaker 1: out there people, while you're out there in this market,

1011
00:57:49,040 --> 00:57:52,880
Speaker 1: in this market world of ours. Carmen Rita Wong. What

1012
00:57:53,040 --> 00:57:55,720
Speaker 1: a pleasure having you on the daily Zeitgeist?

1013
00:57:55,800 --> 00:57:56,480
Speaker 2: As always?

1014
00:57:56,880 --> 00:58:00,000
Speaker 1: Where can people find you? Follow you all that good stuff.

1015
00:58:00,280 --> 00:58:02,760
Speaker 3: Always happy to be with you, guys, Blake, so nice

1016
00:58:02,800 --> 00:58:07,560
Speaker 3: to be with you. Yeah, you can get me at Instagram,

1017
00:58:07,720 --> 00:58:12,320
Speaker 3: off social aw that Carmen Rita Wongo dot com.

1018
00:58:13,000 --> 00:58:15,640
Speaker 2: And is there a work of media that you've been enjoying.

1019
00:58:16,360 --> 00:58:17,240
Speaker 3: That I've been enjoying.

1020
00:58:18,080 --> 00:58:21,040
Speaker 2: Yeah, let's talk about something about more media.

1021
00:58:21,160 --> 00:58:24,320
Speaker 3: Okay, this is this is my wheelhouse. I am a

1022
00:58:24,480 --> 00:58:30,440
Speaker 3: dune freak since the book, I will absorb anything Dune related.

1023
00:58:31,400 --> 00:58:34,720
Speaker 1: Wow, So should people where should people are?

1024
00:58:35,120 --> 00:58:35,360
Speaker 2: Book?

1025
00:58:36,560 --> 00:58:38,040
Speaker 1: It was my brother, my big brother and I.

1026
00:58:38,160 --> 00:58:40,360
Speaker 3: It's a real tattoo. My big brother and I were.

1027
00:58:41,160 --> 00:58:44,600
Speaker 3: We were the biggest duneheads when we were kids. So yeah,

1028
00:58:44,960 --> 00:58:49,520
Speaker 3: that's for him, not for Denny Villanuev the director, or

1029
00:58:49,560 --> 00:58:52,320
Speaker 3: the bad movie from the eighties. But it's just great stuff.

1030
00:58:52,640 --> 00:58:53,480
Speaker 2: Do you like part one?

1031
00:58:54,120 --> 00:58:58,360
Speaker 3: I did like it a lot. Yeah, I like anything

1032
00:58:58,880 --> 00:59:02,000
Speaker 3: the director does, be ann but this one. The buzz

1033
00:59:02,040 --> 00:59:06,320
Speaker 3: on the number two is that is insane, like way

1034
00:59:06,480 --> 00:59:07,280
Speaker 3: above number one.

1035
00:59:08,280 --> 00:59:11,600
Speaker 1: Number one was like cool, but it felt like I

1036
00:59:11,680 --> 00:59:13,960
Speaker 1: think I think. I also didn't know how much of it,

1037
00:59:14,280 --> 00:59:18,600
Speaker 1: like how to what degree it was like the first

1038
00:59:18,680 --> 00:59:22,400
Speaker 1: half of a movie. You know, Yeah, yeah it was,

1039
00:59:22,680 --> 00:59:23,040
Speaker 1: it was.

1040
00:59:23,320 --> 00:59:26,560
Speaker 3: But the second one is supposed to be bonkers. So

1041
00:59:26,680 --> 00:59:28,919
Speaker 3: I've got seats on the first night. I cannot wait.

1042
00:59:29,520 --> 00:59:29,680
Speaker 1: Yea.

1043
00:59:31,520 --> 00:59:32,920
Speaker 3: And if you want to laugh a lot and have

1044
00:59:33,320 --> 00:59:37,040
Speaker 3: some fun, do it while you're inebriated. Watch the first

1045
00:59:37,280 --> 00:59:42,720
Speaker 3: movie done with sting in a tiny little metal bikini pants.

1046
00:59:43,200 --> 00:59:48,600
Speaker 1: It's oh yeah, David Lynch, great bad, yeah, good good

1047
00:59:48,680 --> 00:59:50,880
Speaker 1: good bed Blake.

1048
00:59:50,680 --> 00:59:56,360
Speaker 2: Wexler, Happy birthday to Blake, Happy birthday, birthday to you.

1049
00:59:56,640 --> 00:59:57,040
Speaker 2: You both.

1050
00:59:57,160 --> 01:00:00,400
Speaker 1: Where can people find you? Follow you, wish you happy birthday,

1051
01:00:00,560 --> 01:00:01,360
Speaker 1: all that good stuff.

1052
01:00:01,920 --> 01:00:04,080
Speaker 2: People can wish me happy birthday for the rest of

1053
01:00:04,160 --> 01:00:09,080
Speaker 2: the year until my next day, completely honest at Blake Wexler,

1054
01:00:09,840 --> 01:00:15,160
Speaker 2: this is my food. Nourish me with your birth, with

1055
01:00:15,320 --> 01:00:17,720
Speaker 2: my own birth. I don't know what that and milk

1056
01:00:17,960 --> 01:00:23,040
Speaker 2: me so. Also some stand up dates. March fifteenth, I'll

1057
01:00:23,080 --> 01:00:27,480
Speaker 2: be at a Strong Rope Brewery in Brooklyn, New York. Goannas.

1058
01:00:27,800 --> 01:00:31,520
Speaker 2: April will be in Cincinnati, Bristol, Tennessee, and Pittsburgh. In

1059
01:00:31,680 --> 01:00:34,920
Speaker 2: May and June, I'll be in Austin, Texas.

1060
01:00:35,640 --> 01:00:38,320
Speaker 1: Austin, Texas, the capital of stand.

1061
01:00:38,200 --> 01:00:42,160
Speaker 2: Up, the capital of conservative.

1062
01:00:42,760 --> 01:00:46,720
Speaker 3: No, not Austin. Austin's Blue, Austin's Blue.

1063
01:00:47,280 --> 01:00:50,000
Speaker 2: Austin food is great. I love it.

1064
01:00:50,120 --> 01:00:50,520
Speaker 3: I do.

1065
01:00:50,720 --> 01:00:51,680
Speaker 2: I do like coming to Austin.

1066
01:00:52,240 --> 01:00:55,640
Speaker 1: Yeah, is there workimedia you've been enjoying?

1067
01:00:56,720 --> 01:01:03,800
Speaker 2: Yes, Apple plus No so the Whole Cattle seven ninety

1068
01:01:03,880 --> 01:01:09,080
Speaker 2: nine a month sponsored by Dave Ross, who's a very

1069
01:01:09,240 --> 01:01:13,360
Speaker 2: funny stand up comedian. His Instagram handle is Dave to

1070
01:01:13,480 --> 01:01:16,440
Speaker 2: the Ross. He's been doing this thing where he takes

1071
01:01:17,000 --> 01:01:20,360
Speaker 2: stock like sports team logos that you would see like

1072
01:01:20,440 --> 01:01:23,440
Speaker 2: a high school use or like a beer league or something,

1073
01:01:23,760 --> 01:01:26,240
Speaker 2: and then instead of the team name, he edits it

1074
01:01:26,400 --> 01:01:29,040
Speaker 2: to like these very like these very funny lines. So

1075
01:01:29,440 --> 01:01:31,800
Speaker 2: there'll be one with like a like a guy about

1076
01:01:31,800 --> 01:01:33,520
Speaker 2: to hike a football and it just says, do you

1077
01:01:33,720 --> 01:01:36,760
Speaker 2: know a good therapist? But in a team, you know,

1078
01:01:36,920 --> 01:01:39,560
Speaker 2: in the team fun. And there's another one where it's

1079
01:01:39,600 --> 01:01:42,680
Speaker 2: like a guy like a skull wearing a football helmet,

1080
01:01:42,720 --> 01:01:44,360
Speaker 2: you know, kind of like a Raiders logo but a

1081
01:01:44,400 --> 01:01:47,600
Speaker 2: little bit Halloween, and it just said I died playing football,

1082
01:01:48,160 --> 01:01:52,560
Speaker 2: and an angry ball saying I'm always afraid. Like it's

1083
01:01:52,680 --> 01:01:57,760
Speaker 2: it's very very I'm describing an image based work of media,

1084
01:01:57,760 --> 01:01:59,560
Speaker 2: which I probably shouldn't have done. But if you go

1085
01:01:59,640 --> 01:02:02,800
Speaker 2: to Dave to the Ross, it's very very very funny, silly.

1086
01:02:03,720 --> 01:02:06,000
Speaker 2: That's great, smart too, Yeah, yeah, it's great. I love it.

1087
01:02:06,600 --> 01:02:12,040
Speaker 1: You can find me on Twitter a Jack Underscore O'Brien tweet.

1088
01:02:12,080 --> 01:02:18,880
Speaker 1: I've been enjoying. I just saw Dopey the Dumbfuck on

1089
01:02:19,080 --> 01:02:23,280
Speaker 1: Twitter at Pete Underscore irons eight seven to two O six.

1090
01:02:23,640 --> 01:02:25,040
Speaker 2: Usually I'll just do the at.

1091
01:02:25,160 --> 01:02:27,640
Speaker 1: But his was so long convoluted, I just had to

1092
01:02:27,760 --> 01:02:29,880
Speaker 1: use what he wrote his name as Dopey the dumbfuck

1093
01:02:30,400 --> 01:02:34,160
Speaker 1: tweeted getting a question wrong at trivia and faking a

1094
01:02:34,240 --> 01:02:35,720
Speaker 1: hamstring pool and.

1095
01:02:37,920 --> 01:02:42,120
Speaker 2: Oh shit, damn it just rolling around on the ground.

1096
01:02:42,600 --> 01:02:46,680
Speaker 1: And then Austin Heimer tweeted, what if instead of the sixties,

1097
01:02:46,800 --> 01:02:49,440
Speaker 1: the New Fantastic Four took place in the seventies and

1098
01:02:49,560 --> 01:02:53,360
Speaker 1: instead of Pedro Pascal, it started Ryan Gosling and Russell

1099
01:02:53,400 --> 01:02:57,000
Speaker 1: Crowe and instead of being superheroes, they were both private detectives.

1100
01:02:57,240 --> 01:02:59,760
Speaker 2: Oh I love that movie.

1101
01:02:59,880 --> 01:03:00,320
Speaker 1: Was fun.

1102
01:03:01,040 --> 01:03:03,240
Speaker 2: That movie was fun.

1103
01:03:04,200 --> 01:03:07,640
Speaker 1: You can find us on Twitter at daily Zeikeeist. We're

1104
01:03:07,640 --> 01:03:10,080
Speaker 1: at the Daily Zeichgeist on Instagram. We have a Facebook

1105
01:03:10,120 --> 01:03:12,680
Speaker 1: fan page and a website daily zeikeis dot com, where

1106
01:03:12,680 --> 01:03:16,800
Speaker 1: we post our episodes and our footnotes. We like off

1107
01:03:16,840 --> 01:03:18,800
Speaker 1: to the information that we talked about in today's episode,

1108
01:03:18,840 --> 01:03:22,520
Speaker 1: as well as a song that we think you might enjoy.

1109
01:03:23,200 --> 01:03:27,560
Speaker 1: Super producer Justin Connor, is there a song that you

1110
01:03:27,640 --> 01:03:28,640
Speaker 1: think people might enjoy?

1111
01:03:29,320 --> 01:03:33,800
Speaker 6: Yeah, So this track has a vintage smoky jazz club

1112
01:03:34,000 --> 01:03:38,240
Speaker 6: vibe to it. It's from a Brazilian Norwegian singer songwriter,

1113
01:03:38,760 --> 01:03:42,560
Speaker 6: Charlotte Do Santos. There's some gorgeous falsetto and vocal work

1114
01:03:42,640 --> 01:03:46,240
Speaker 6: going on here. It's really chilling viby. So check out

1115
01:03:46,320 --> 01:03:49,840
Speaker 6: this song. It's called Watching You by Charlotte Do Santos

1116
01:03:49,880 --> 01:03:52,560
Speaker 6: and you can find that song in the footnotes footnotes.

1117
01:03:53,360 --> 01:03:54,640
Speaker 2: All right, we will look off to that.

1118
01:03:54,760 --> 01:03:56,960
Speaker 1: The Daily Zeich is the production of iHeartRadio. For more

1119
01:03:57,000 --> 01:03:59,840
Speaker 1: podcasts from my Heart Radio, the iHeartRadio Wrap Apple podcast

1120
01:04:00,280 --> 01:04:02,400
Speaker 1: wherever you listen to your favorite shows, that is going

1121
01:04:02,480 --> 01:04:05,080
Speaker 1: to do it for us this morning. We are back

1122
01:04:05,520 --> 01:04:09,200
Speaker 1: on Tuesday to tell you what was trending over the

1123
01:04:09,320 --> 01:04:14,960
Speaker 1: long weekend, and then with an episode after that later

1124
01:04:15,080 --> 01:04:15,439
Speaker 1: that day.

1125
01:04:15,640 --> 01:04:18,720
Speaker 2: I believe, so we will talk to you all then bye,