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Speaker 1: Yo, yo, I feel like I have to drop my

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Speaker 1: voice when when you co sleeper deep voice, you got

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Speaker 1: that baritone as low.

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Speaker 2: As you can. Right now, let me go, what's like

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Speaker 2: the lowest if you did a character voice with the

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Speaker 2: lowest baritone?

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Speaker 3: Let me hear okay, cool?

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Speaker 4: Let me.

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Speaker 3: That was my normal speaking?

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Speaker 2: Cool cool?

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Speaker 3: Uh yo?

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Speaker 2: Whoas god?

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Speaker 5: Damn?

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Speaker 6: Yeah?

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Speaker 5: Yeah.

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Speaker 3: And the thing is is this is how my voices

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Speaker 3: sounded since I was fourteen.

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Speaker 2: Really yeah.

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Speaker 3: It was like and it was like literally like over

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Speaker 3: spring break, like my voice sounded like this, and then

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Speaker 3: like the over the course of spring break, it just

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Speaker 3: like balls dropped and immediately like when it came back,

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Speaker 3: you know, after a Wee Calls.

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Speaker 2: Show, it dropped so far.

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Speaker 3: In the center of the earth, all the way.

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Speaker 2: To the other side of the globe. You sounded like

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Speaker 2: you like you're in that band Yellow Timely reference.

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Speaker 5: Oh yeah, okay, this is Joe. That was yeah, I

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Speaker 5: thought that was whoever did Joe? Here?

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Speaker 2: Joe Joe?

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Speaker 5: Hello the Internet and welcome to season three fifty six,

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Speaker 5: Episode three of Dear Dally's Guys.

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Speaker 6: Production of iHeartRadio. This is a podcast where we take

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Speaker 6: a deep dive into America's shared consciousness and we are

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Speaker 6: America's only undecided podcast. We're all undecided voters on this

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Speaker 6: podcast New York.

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Speaker 2: I don't know if I'm going to go for Trump.

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Speaker 5: I don't know. I just need to know more about

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Speaker 5: his position.

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Speaker 3: There needs to be another few debates for me to

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Speaker 3: like really understand both sides of the issues.

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Speaker 2: I still don't know what the steaks aren't really clear.

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Speaker 5: And if there is no more debates, I'm just gonna

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Speaker 5: have to vote for Trump. And I'm sorry, It's just

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Speaker 5: that's it. Guys like you knows he hasn't won me over. Yeah, well,

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Speaker 5: I just like the letter T.

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Speaker 2: Just I think his that's it. Yeah, that's.

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Speaker 5: It's Wednesday, September eighteenth, twenty twenty four.

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Speaker 2: Wow, what a day. It's Air Force Birthday, National HIV

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Speaker 2: AIDS and Aging Awareness Day. That feels apt consider I

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Speaker 2: just turned forty over the weekend and National Cheeseburger Day.

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Speaker 2: Shout out the Noble Cheeseburger.

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Speaker 5: We love you, one of the greats. My name is

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Speaker 5: Jack O'Brien aka Rolling down the street, Crack the windows

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Speaker 5: slashing in whale brain juice a whack, says my kids

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Speaker 5: in the backseat, and the brain warm. In my mind,

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Speaker 5: that is collaboration between how see on salad and you

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Speaker 5: kurrent do that on television.

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Speaker 2: Yeah yeah, that's fucking good. That's a good one.

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Speaker 5: That's a bar took two minds. A few people know this,

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Speaker 5: but the green slime on you carn't do that on

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Speaker 5: television whale brain juice. A lot of people don't realize that. Yeah,

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Speaker 5: do you ever eat the green brain sludge from lobster?

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Speaker 5: You're getting there?

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Speaker 2: Nah? No, are you supposed to?

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Speaker 5: Some people do well when I grab I have Okay, yeah,

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Speaker 5: it's same, same premise.

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Speaker 2: Okay.

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Speaker 5: I lived with the Spanish family for a month in

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Speaker 5: high school and the dad ate the green brain juice

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Speaker 5: and was like, it's so delicious, so I had to

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Speaker 5: try it. It kind of tastes good. I don't like

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Speaker 5: the idea of it, but it kind of tastes good.

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Speaker 2: If it was in a shot glass, you could probably

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Speaker 2: down it easier than being like, oh, you have to scoop.

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Speaker 5: And scoop it out of a thing that still has

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Speaker 5: eyeballs that are yeah yeah, yeah, yeah yeah judging. Anyways,

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Speaker 5: I'm thrilled to be joined as always by my co

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Speaker 5: host mister Miles Grass Miles Gray.

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Speaker 2: Since my body suddenly turned forty, I've been coughing like politicians.

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Speaker 7: I know.

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Speaker 2: It's my mind off, perhaps some subway tune about my

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Speaker 2: buddies not now less poison.

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Speaker 5: I couldn't butterstand.

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Speaker 2: How to work it out. Shout out to Halsey and

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Speaker 2: Salad and everybody with their well wishes. Thank you. Yes,

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Speaker 2: I have been coughing like a politician, but that's because

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Speaker 2: I have a child in daycare, and that means I

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Speaker 2: get to sample all of the illnesses that are happening

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Speaker 2: in my community, and you know, you just dabble them

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Speaker 2: over days later. Time. Yeah, exactly, literally and literally a time.

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Speaker 5: Wait, how do politicians cough? They like cough heart.

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Speaker 2: I'm what are you referencing there, I'm just guessing because

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Speaker 2: they're elderly.

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Speaker 5: Yeah, yeah, yeah, Okay, That's what I'm gonna go with you. Anyways, Miles,

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Speaker 5: We're thrilled to be joined in our third seat by

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Speaker 5: a brilliant TV writer, performed enrolled member of the calat

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Speaker 5: Indian tribe who's written on shows for Nickelodeon, Cartoon Network, Dreamwork,

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Speaker 5: and the Netflix animated series Spirit Rangers. He's the creator

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Speaker 5: of the brilliant web series Gone Native. Please welcome back

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Speaker 5: to the show. The Hilarious, the Talented Joey.

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Speaker 3: Clear Joey Cleft aka my zight Gang. Can't sid enough

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Speaker 3: of your cast, baby zight Gang. I don't know, I

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Speaker 3: do know why I'm on the zaly Z Cast. Baby,

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Speaker 3: Wow dep Okay, let me see Okay, let me see it,

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Speaker 3: sang oh ship can't sign enough of your guys, Babe

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Speaker 3: zight Gang. I do know, I do know. Wow, I'm on.

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Speaker 2: The daily z Cast.

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Speaker 1: Baby.

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Speaker 3: Shout out to myself that it happens when I'm on

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Speaker 3: the show. Is that I realized, Oh, I've got to

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Speaker 3: come up with a parody song about my name.

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Speaker 5: What can I sing?

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Speaker 3: Are you why that's like in my vocal register?

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Speaker 2: Okay, great, yep.

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Speaker 3: You mentioned I did work in Nickelodeons, and I can

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Speaker 3: confirm that the green Slime from you Can't do That

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Speaker 3: on television is well rang juice, well, rang juice? Yeah, yeah, Okay,

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Speaker 3: there's a big whale hanging from the ceiling and yeah, okay, yeah,

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Speaker 3: it's it's been a live it's been alive for decades.

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Speaker 2: It's tortured, really fucked up Nickelodeon. Yeah, yeah, the producer

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Speaker 2: is there. It's only half the story.

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Speaker 5: Have you ever gone with the cliff bar? I was,

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Speaker 5: I'm gonna need to see some I D because you

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Speaker 5: are entering the cliff bar.

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Speaker 3: Uh. Oh, it's the cliff bar and not the bar

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Speaker 3: edible bar like the place that you just I'm just

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Speaker 3: I'm just.

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Speaker 5: Riffing here, just connecting a c you know.

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Speaker 6: Yeah.

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Speaker 3: I feel like I feel like people have told me

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Speaker 3: that I should go by like DJ Cliffhanger if I

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Speaker 3: become a DJ, which hate you know.

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Speaker 2: You know, uh, you know esteemed actor Montgomery Cliff.

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Speaker 3: You know, Okay, So I hear that we're distantly related, Like, yeah.

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Speaker 2: We're okay.

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Speaker 3: So like I've heard from some family members that were

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Speaker 3: distant related. I've heard from other family members that were

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Speaker 3: not related at all. But he's buried somewhere in I

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Speaker 3: want to say, New York and only family members can

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Speaker 3: visit his grave. And part of me has been like

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Speaker 3: could I just go and like show my idea and

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Speaker 3: like visit his grave because like I could be like, yeah,

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Speaker 3: we're cousins or whatever.

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Speaker 2: Yeah, do you have any I think he's from like

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Speaker 2: Omahon originally or something like that.

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Speaker 3: I don't know if I have Omaha family.

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Speaker 2: He might be he might be fucking They might be

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Speaker 2: trying to hide the truth from you. Man. Yeah, you're right.

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Speaker 3: Conspiracy we're going to talk about today.

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Speaker 2: I wonder if you could pull up, just on the

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Speaker 2: strength of your last name, be like, are you kidding me?

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Speaker 2: It's me Joey.

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Speaker 3: You know Joey Cliffiff.

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Speaker 2: You know that new sound you were looking for?

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Speaker 3: Oh yeah, hey Monty, Yeah, hey Manty know that new

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Speaker 3: Cliff you've been looking for. You're looking at it.

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Speaker 5: Well, it's great to have you back, Joey. We're going

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Speaker 5: to get to know you a little bit better.

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Speaker 2: In a moment.

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Speaker 5: First, a couple of the things we're talking about. We

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Speaker 5: are having a national moment of reckoning. It's time to

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Speaker 5: change the rhetoric, lower the temperature a little bit on

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Speaker 5: the rhetoric when it comes to describing Donald Trump as

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Speaker 5: dangerous in any way according to the right. And I

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Speaker 5: feel like the mainstream media usually falls for this. We'll see,

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Speaker 5: but usually they're like, we've got to do better, guys.

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Speaker 2: It's our fault, you know what. I agree with the

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Speaker 2: right wing outrage mob. It is on us, specifically this podcast.

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Speaker 5: Yeah, we are here to learn. We're here to listen,

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Speaker 5: and we're going to try and do better.

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Speaker 2: We won't. Yeah, we can use new words, that's true,

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Speaker 2: we can use better words.

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Speaker 5: But we are not. And because we're going to use

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Speaker 5: new words, we're not able to mention the fact that

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Speaker 5: they are saying the wildest, most violent shit possible.

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Speaker 2: Actively.

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Speaker 3: You know, they should be allowed to do that.

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Speaker 5: And they should be because they're the ones who getting

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Speaker 5: shot at and we're not the ones getting shot at.

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Speaker 5: And if you want to be able to use violent words,

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Speaker 5: need to get shot at. Sorry, those are the rules.

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Speaker 5: Those are the rules of engagement.

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Speaker 2: Those are the rules I just made up to benefit me.

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Speaker 5: Nobody's even shooting them. It's like not fair. Anyways, we'll

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Speaker 5: talk about that, and then we'll talk about the other

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Speaker 5: thing that we're doing to make amends for the fact

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Speaker 5: that we did say Trump is a danger to democracy

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Speaker 5: and that led directly to that Elmer Fudds assassination attempt.

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Speaker 5: We are going to be investing in a new his

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Speaker 5: new cryptogrift even bigger this time. Yeah, it's it's huge

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Speaker 5: this time. Guys. You can tell he believes in it

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Speaker 5: because it's the one thing he's ever done that he

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Speaker 5: didn't put his name on.

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Speaker 3: Yeah, does that mean he's not excited about us?

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Speaker 5: Like I can't quite figure out like what it would

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Speaker 5: take for him to launch something that's not called like

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Speaker 5: Trump Trumpy Coin or whatever. This one's just called World

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Speaker 5: Liberty Financial.

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Speaker 2: That's which makes it scarier.

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Speaker 5: Oh yeah, yeah.

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Speaker 3: If it was called like Trump Bucks or something like that,

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Speaker 3: I would at least get the grift, whereas this feels like, oh,

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Speaker 3: you're trying to be legit, which makes it seem even sketchier.

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Speaker 2: Yeah. Yeah, he's trying to win the affections of his

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Speaker 2: son Baron, you know. Yeah.

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Speaker 3: Yeah.

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Speaker 5: It also has the name of a shell company, like

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Speaker 5: a name that seems designed to leave your brain the

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Speaker 5: second you hear it.

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Speaker 2: Oh yeah, yeah yeah, World Liberty. It's like, yo, how

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Speaker 2: did who did your car loan? World Liberty Financial? I

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Speaker 2: think what was your APR in that? Like, I think

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Speaker 2: sixty four percent?

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Speaker 5: Is that bad?

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Speaker 2: Is that good? Yeah? I don't know numbers, it's less

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Speaker 2: than one hundred. Yeah, yeah, we'll talk about all that

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Speaker 2: plenty more. But first, Joey, we do like to ask

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Speaker 2: our guest, what is something from your search history that's

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Speaker 2: revealing about who you are.

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Speaker 3: So one thing for my search history that's revealing about

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Speaker 3: who I am is I googled how to buy food

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Speaker 3: from a ghost kitchen if any of you know what

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Speaker 3: a ghost kitchen is. If you go on like grub

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Speaker 3: Hub or something like that and you're trying to order food,

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Speaker 3: it's like a second restaurant that's not a real restaurant

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Speaker 3: that like is also making food out of the back

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Speaker 3: of a Chuck E Cheese or something like that. So like,

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Speaker 3: you're probably not gonna want to, you know, grub hubut

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Speaker 3: Chuck E Cheese pizza, but you might want to grub

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Speaker 3: hub like you know l pastor mister Pepperino's Pizzaia, and

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Speaker 3: it's just like Chuck E Cheese Pizza but with a

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Speaker 3: different name that makes it seem slightly fast. Year, So

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Speaker 3: mister Beast had a ghost kitchen while we were all

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Speaker 3: pandemic ing. Yeah, So I googled this while I was

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Speaker 3: standing in the lobby of an ihop that I thought

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Speaker 3: was a Philly Cheese steak restaurant, because I was like,

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Speaker 3: I was just I just really wanted to Philly Cheese

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Speaker 3: take a couple of days ago. So I just googled,

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Speaker 3: like you know Philly cheesecak restaurant near me. There was

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Speaker 3: an I Hoop a few blocks away. I walked over

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Speaker 3: there being like, okay, is this a Philly cheese steak

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Speaker 3: restaurant and they were like, no, you have to order

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Speaker 3: it online and from the app. So I had to

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Speaker 3: like stand outside and download an app for this Philly

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Speaker 3: cheese restaurant, Philly cheesecak restaurant for the I Hop to

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Speaker 3: like make the Philly cheese steak in the back of

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Speaker 3: the eye hop and then give it to me. It

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Speaker 3: was just truly one of those things.

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Speaker 5: It's just like a Sioux chef's like side hustle or

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Speaker 5: something that there.

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Speaker 3: Wasn't signage, so it does definitely feels like it's somebody's

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Speaker 3: side hustle. And I would say the quality of the

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Speaker 3: ie Hop Philly cheese steak, you know kind of man, yeah,

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Speaker 3: get hit.

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Speaker 2: I look, I ate the whole thing, but it wasso

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Speaker 2: roll or not.

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Speaker 3: I mean it was wrapped in a pancake.

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Speaker 2: Yes, yeah, you gotta go to I mean, like, what's

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Speaker 2: the I like Booze Booze Philly is probably like one

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Speaker 2: of the better Philly cheese steaks in La.

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Speaker 5: Alcohol like sometimes that just has that non sequitor and

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Speaker 5: we just have that's like a Philly cheese seak.

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Speaker 3: You're sweating a lot right now.

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Speaker 2: Cheese say Grease Goop is.

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Speaker 5: A ghost kitchen, right, Goop kitchen or whatever the fuck?

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Speaker 2: Like yeah, but I mean like there's a ton too

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Speaker 2: where like a bunch of restaurants will take over a

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Speaker 2: larger facility and they'll they'll serve like six different restaurants

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Speaker 2: out of one kitchen. Yeah, there's a spot on Sunset

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Speaker 2: that is like a yeah ghost kitchen that is just

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Speaker 2: like you see all these brands and it's all just.

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Speaker 3: Coming out of the same place. What I think it's

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Speaker 3: like called me old fashioned, but it's like this was

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Speaker 3: definitely a situation where I was like, Okay, I just

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Speaker 3: want to like walk and get a Philly cheese steak

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Speaker 3: and leave. And it was just so like I totally

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Speaker 3: get it, you know, like having store friends expensive, but

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Speaker 3: it was just like going to an ie hop and

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Speaker 3: like not being able to find a Philly cheese steak

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Speaker 3: place was so disheartening and then finding out that was

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Speaker 3: the Philly cheese stick, yes, right, and I couldn't order

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Speaker 3: it from the eye hop. I had to like download

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Speaker 3: an app was like so annoying. Yeah, a lot of

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Speaker 3: adding insult to injury. Oh yeah, yeah, Like fine.

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Speaker 2: Not only is this? Not only is this I hop

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Speaker 2: your Philly cheese steak is gonna come from. We can't

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Speaker 2: even take your order like a normal.

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Speaker 3: Not in Philly.

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Speaker 5: It's and when you come in you say I would

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Speaker 5: like a seat at your International House of Pancakes please,

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Speaker 5: and we will know that that means.

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Speaker 2: Philly to drop.

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Speaker 5: Like how did you pick up your order? Was it

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Speaker 5: just there at the front, like at the hostess stand.

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Speaker 3: Yeah, so it's like so I went to the front

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Speaker 3: and I was just like, is this like I think

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Speaker 3: it's called like, oh my cheese steak or something like

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Speaker 3: that's what the restaurants come And you said it with

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Speaker 3: the proper I did say. My voice did go up

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Speaker 3: when I said it. Yes, yeah, so you know, I

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Speaker 3: was like, is this is not my cheese steak? And

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Speaker 3: they were like yes, but like also no, And I

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Speaker 3: was like yeah, you give me and they were like

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Speaker 3: and they were like, you got to order it from

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Speaker 3: the app outside, okay. I like just sat down in

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Speaker 3: his eye off and waited for like ten minutes and

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Speaker 3: then they're like very discreetly gave me a Philly cheese steak.

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Speaker 3: They didn't like calm my name. It just like on

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Speaker 3: the side, which is the Cury go get out.

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Speaker 2: Don't even I like. I like that. They're like, yeah,

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Speaker 2: you got to order it outside though, Yeah, all right.

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Speaker 5: Jesus so judgy. What is What's something you think is underrated?

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Speaker 3: Something I think is underrated? So this is gonna be

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Speaker 3: a hot take. I recently ate at waffle House for

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Speaker 3: the first time, and waffle house so underrated, Like probably

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Speaker 3: one of the best places I've ever eaten in my life, truely,

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Speaker 3: Like I mean, like, so I spent a lot of

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Speaker 3: time because it's there's not a waffle house in southern California.

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Speaker 3: I was in like Atlanta for a thing, and I

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Speaker 3: think I just got sort of the classic like pecan

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Speaker 3: waffle and then I like and then I got like

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Speaker 3: basically what all my friends suggested, which was like hash

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Speaker 3: browns with a bunch of different stuff on it, and

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Speaker 3: like there's a specific way that you order it. Order

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Speaker 3: a waffle house, you say, like my hash bounds like smothered, chunk, spicy,

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Speaker 3: smothered or whatever. I did not know that, so I

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Speaker 3: went to the front counter, and I was like, hello,

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Speaker 3: I would like hash browns with Jalapino's, a little bit

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Speaker 3: cheese and some ham please, you know.

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Speaker 2: Yeah, kitchen, They're like, yo, the fens are here.

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Speaker 3: Yeah. It was also it was perfect first waffle house

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Speaker 3: experience of like I walked in the door. Immediately the

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Speaker 3: person working the counter said like, chef ain't here, like

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Speaker 3: and it's like food won't be ready for thirty minutes,

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Speaker 3: so like sit down and wait. So we like sat down,

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00:16:20,240 --> 00:16:23,240
Speaker 3: waited for thirty minutes, and then like the chef walked

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Speaker 3: in for sure, like with a sick in their mouth

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Speaker 3: that they like flicked into a trash can and immediately

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Speaker 3: started making the best waffles I've ever seen in my life.

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Speaker 2: You know, it's that sausage gravy. Whenever I go.

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Speaker 3: Sausage gravy, just syrup butter. It's like like it's truly

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Speaker 3: like it's just if you've never eaten a waffle house before,

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Speaker 3: like treat yourself. And it's also like ten bucks, it's

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Speaker 3: very cheap.

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Speaker 5: So you went peppered, you went chunk.

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Speaker 3: Yeah yeah, so I think I went pepper chunked, smothered.

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Speaker 3: Yeah that sounds very It was like halpino.

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Speaker 5: Yeah, smothered is sauted onions. Covered is melted America onions

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Speaker 5: into Yeah, chunked, which is my favorite. It's just the best.

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Speaker 5: You don't get to say chunked in any other context.

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Speaker 2: Unless I chunk my pants.

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Speaker 5: Chunk some grilled hickory smoked hand. That's the context about

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Speaker 5: four hours later, And that's being generous. Dice some green

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Speaker 5: grilled tomatoes for juice. I like that they say that specifically,

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Speaker 5: it's grilled tomatoes for juice, peppered with the helpeo peppers,

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Speaker 5: capped shrooms. That's one of my favorites. And then topped

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Speaker 5: with Bird's chili. Goddamn hungry right now, country with sausage

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00:17:34,119 --> 00:17:37,040
Speaker 5: gravy port to top. Could you imagine putting getting a

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Speaker 5: covered topped country?

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Speaker 2: Hell?

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Speaker 3: Yeah, man, I mean I think that, Like that's the

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00:17:41,200 --> 00:17:43,520
Speaker 3: thing whenever I'm in a place with a waffle house now,

364
00:17:43,600 --> 00:17:44,960
Speaker 3: like my girlfriend and I make it a habit of

365
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Speaker 3: just or just like saying random words at the hashpin

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Speaker 3: order and be like, yeah.

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Speaker 2: Let's get it, let's go something the old waffle house

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00:17:52,000 --> 00:17:52,680
Speaker 2: roulette here.

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Speaker 3: Yeah. Another thing that I think is underrated is voting.

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Speaker 3: Maybe that's the thing that people should do.

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Speaker 5: You actually threatened the presence. Yeah, you're on a Yeah,

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00:18:04,400 --> 00:18:08,720
Speaker 5: you're voting for who. You turned the temperature down with

373
00:18:08,760 --> 00:18:12,600
Speaker 5: that voting ship. You are threatening his political career and

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00:18:12,760 --> 00:18:16,960
Speaker 5: by extension, his life. What is something you think is overrated?

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Speaker 3: Something that I think is overrated? Actually, I'm gonna say

376
00:18:20,240 --> 00:18:22,800
Speaker 3: semi related to that. I was in Dallas a couple

377
00:18:22,800 --> 00:18:25,720
Speaker 3: of days ago, and I was at the place where

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00:18:25,760 --> 00:18:29,119
Speaker 3: JFK got assassinated, like the depository or whatever.

379
00:18:30,000 --> 00:18:31,399
Speaker 5: Love the smiling your voice.

380
00:18:31,720 --> 00:18:33,760
Speaker 3: Yeah, yeah, yeah, Well it was like I was in

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00:18:33,760 --> 00:18:35,879
Speaker 3: there for like for a separate trip, but I was like, oh, well,

382
00:18:35,880 --> 00:18:38,040
Speaker 3: I'm a Dallas you know, I'll see the sites and

383
00:18:38,640 --> 00:18:42,320
Speaker 3: it's it's just very it's very interesting how much it

384
00:18:42,359 --> 00:18:46,040
Speaker 3: has turned into like a tourist location. Like literally the place,

385
00:18:46,240 --> 00:18:49,000
Speaker 3: like the location that his car was where he was shot,

386
00:18:49,359 --> 00:18:52,440
Speaker 3: there's just an X spray painted on the ground, and

387
00:18:52,480 --> 00:18:54,399
Speaker 3: like for sure there were tourists, like and it's like

388
00:18:54,840 --> 00:18:58,800
Speaker 3: it's a street. It is a busy road that goes street. Yeah,

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00:18:58,840 --> 00:19:00,879
Speaker 3: so there are people that were like running from the

390
00:19:00,880 --> 00:19:03,840
Speaker 3: street to jump onto the X where JFK got shot

391
00:19:03,960 --> 00:19:06,800
Speaker 3: so they could snap the selfie and then run back

392
00:19:06,800 --> 00:19:08,640
Speaker 3: to the sidewink before you get by a car.

393
00:19:09,320 --> 00:19:12,120
Speaker 5: Oh shit, I wonder how many people have been hit

394
00:19:12,200 --> 00:19:13,000
Speaker 5: by cars there.

395
00:19:13,600 --> 00:19:16,000
Speaker 3: I mean like in the twenty minutes I was there,

396
00:19:16,080 --> 00:19:18,919
Speaker 3: I saw like six close cars, so we're thinking at

397
00:19:19,000 --> 00:19:21,760
Speaker 3: least one. Yeah, yeah, for sure, for sure.

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00:19:22,280 --> 00:19:22,480
Speaker 4: Yeah.

399
00:19:22,480 --> 00:19:25,880
Speaker 5: I remember going there when I was a kid, and

400
00:19:26,680 --> 00:19:30,440
Speaker 5: there was it was you know, there's the official museum

401
00:19:30,880 --> 00:19:32,320
Speaker 5: like up at the Book Depository.

402
00:19:32,480 --> 00:19:33,560
Speaker 2: Yeah, yeah, that's about it.

403
00:19:33,520 --> 00:19:35,679
Speaker 5: And then there's like an When I went there, there

404
00:19:35,760 --> 00:19:37,840
Speaker 5: was like an unofficial thing that kind of seemed like

405
00:19:37,840 --> 00:19:40,120
Speaker 5: it was like a news stand and it was like

406
00:19:40,440 --> 00:19:45,360
Speaker 5: people selling their own conspiracy theory like zines.

407
00:19:45,560 --> 00:19:46,960
Speaker 3: Oh yeah, I sure that was still there.

408
00:19:47,000 --> 00:19:49,680
Speaker 2: That was still there, still there, that's amazing. Wow.

409
00:19:49,760 --> 00:19:50,680
Speaker 5: Yeah.

410
00:19:50,760 --> 00:19:52,639
Speaker 3: And it is so interesting being there seeing how like

411
00:19:52,720 --> 00:19:55,040
Speaker 3: close together everything is, because I feel like you've never

412
00:19:55,119 --> 00:19:57,240
Speaker 3: been there. It's like you don't get a sense of like, oh,

413
00:19:57,320 --> 00:19:59,800
Speaker 3: Zach Rutter when he shot the footage was like maybe

414
00:20:00,080 --> 00:20:03,040
Speaker 3: like ten feet from like where JFK was. You know,

415
00:20:03,080 --> 00:20:05,800
Speaker 3: like the grassy knoll was like half a basketball, Like

416
00:20:05,800 --> 00:20:08,920
Speaker 3: it's like a basketball half court length away. You know, like, yeah,

417
00:20:08,920 --> 00:20:11,879
Speaker 3: you're just very it's like it's a very like contained area,

418
00:20:12,000 --> 00:20:14,320
Speaker 3: but it is just funny. It's like I feel like

419
00:20:14,359 --> 00:20:17,040
Speaker 3: people look at like the like the Titanic, how you

420
00:20:17,080 --> 00:20:20,600
Speaker 3: can get like giant inflatable slides of the Titanic now

421
00:20:20,680 --> 00:20:22,600
Speaker 3: that you can like set up its theme parks and stuff.

422
00:20:22,920 --> 00:20:24,800
Speaker 3: People are like, people are like, oh, that was like

423
00:20:24,840 --> 00:20:27,760
Speaker 3: a tragedy where thousands of people died. That's like weird

424
00:20:27,800 --> 00:20:29,560
Speaker 3: that that's like a thing kids play on now. And

425
00:20:29,560 --> 00:20:31,879
Speaker 3: it's like you go to the JFK assassination site and

426
00:20:31,880 --> 00:20:33,920
Speaker 3: you're like, oh, it's like ninety percent of the way

427
00:20:33,920 --> 00:20:35,040
Speaker 3: there right right.

428
00:20:35,160 --> 00:20:38,640
Speaker 5: Yeah. I wonder how long it will be until there

429
00:20:38,680 --> 00:20:44,120
Speaker 5: are like nine to eleven themed rides like where it's

430
00:20:44,240 --> 00:20:48,080
Speaker 5: like the towers are falling like everybody, you know what

431
00:20:48,080 --> 00:20:52,520
Speaker 5: I mean, like everybody else? Can you get out of

432
00:20:52,560 --> 00:20:57,320
Speaker 5: the building like before I think in our like seventies, Yeah,

433
00:20:57,320 --> 00:20:59,479
Speaker 5: I think it'll be like when we're dead. Probably.

434
00:20:59,560 --> 00:21:01,159
Speaker 3: It's like you go to like you go to like

435
00:21:01,280 --> 00:21:03,720
Speaker 3: Fort's Theater in Washington, d C. Where like Abraham Lincoln

436
00:21:03,720 --> 00:21:06,440
Speaker 3: got assassinated, and straight up across the street there's like

437
00:21:06,480 --> 00:21:10,320
Speaker 3: a pancake house themed after Abraham Lincoln. Yeah, it's just like, oh,

438
00:21:10,359 --> 00:21:12,359
Speaker 3: the tragedy has been raised from this now it's just

439
00:21:12,440 --> 00:21:14,240
Speaker 3: like I don't know, like a place to buy like

440
00:21:14,280 --> 00:21:15,360
Speaker 3: T shirts.

441
00:21:15,440 --> 00:21:18,240
Speaker 2: Right, yeah, right, yeah. I think just like I remember

442
00:21:18,359 --> 00:21:20,120
Speaker 2: I said a tweet a few weeks ago or someone

443
00:21:20,200 --> 00:21:21,879
Speaker 2: was something like I think we're far enough away or

444
00:21:21,920 --> 00:21:24,560
Speaker 2: they'll be like nine to eleven sales, Like it's yeah,

445
00:21:24,720 --> 00:21:27,439
Speaker 2: I feel like that that's probably the first that's our

446
00:21:27,520 --> 00:21:30,680
Speaker 2: first step on our way to full on inflatable twin.

447
00:21:30,480 --> 00:21:35,000
Speaker 5: Towers naturals sales, and then inflatable twin towers like bounce

448
00:21:35,080 --> 00:21:38,359
Speaker 5: houses that have like giant inflatable twin towers that you

449
00:21:38,359 --> 00:21:39,239
Speaker 5: can like jump off of.

450
00:21:39,359 --> 00:21:43,000
Speaker 2: Yeah. The yeah, hey, I get on it.

451
00:21:43,880 --> 00:21:48,040
Speaker 3: Yeah, we're just pitching ideas, you know, somebody wants to invest.

452
00:21:47,840 --> 00:21:49,040
Speaker 2: Yeah yeah yeah.

453
00:21:49,119 --> 00:21:53,240
Speaker 5: The how close everything is is truely is pretty staggering,

454
00:21:53,359 --> 00:21:57,600
Speaker 5: and it does drive home something about that assassination that

455
00:21:58,119 --> 00:22:01,560
Speaker 5: I think is relevant to the asassination attempts that we're

456
00:22:01,560 --> 00:22:07,119
Speaker 5: seeing today with Trump, where like he JFK they wanted

457
00:22:07,119 --> 00:22:09,720
Speaker 5: to put a top on the car because they're like,

458
00:22:09,760 --> 00:22:13,760
Speaker 5: you're going through an area that's gonna be like incredibly dangerous.

459
00:22:14,040 --> 00:22:15,600
Speaker 5: There was like somebody who took out an ad that

460
00:22:15,720 --> 00:22:18,600
Speaker 5: was like kill like basically saying you're an enemy to

461
00:22:18,640 --> 00:22:21,080
Speaker 5: the nation and like it would be treason as not

462
00:22:21,200 --> 00:22:25,560
Speaker 5: to kill you, essentially, and he was just like nah,

463
00:22:25,920 --> 00:22:28,000
Speaker 5: and basically they like.

464
00:22:28,040 --> 00:22:28,760
Speaker 3: He want to live.

465
00:22:30,440 --> 00:22:32,040
Speaker 5: Yeah. It was like the first stop on his re

466
00:22:32,160 --> 00:22:36,399
Speaker 5: election campaign, and so he was higher status than the

467
00:22:36,440 --> 00:22:39,760
Speaker 5: Secret Service in a way that I don't think is

468
00:22:39,960 --> 00:22:42,960
Speaker 5: usually true of presidents. Like he was both president and

469
00:22:43,200 --> 00:22:47,560
Speaker 5: like cool celebrity, and so they're just like, oh, damn JFK,

470
00:22:47,640 --> 00:22:50,119
Speaker 5: you're the man, you know whatever, Like they all like

471
00:22:50,119 --> 00:22:55,080
Speaker 5: went out. He said, he said, he's crazy.

472
00:22:55,119 --> 00:22:57,040
Speaker 2: You know what he said. He said, like Maryland, you

473
00:22:57,040 --> 00:22:58,920
Speaker 2: know what that means? Topless baby.

474
00:23:00,240 --> 00:23:03,720
Speaker 5: But it was so wild, like the shot was not

475
00:23:03,880 --> 00:23:06,000
Speaker 5: that difficult of a shot. Yeah, It's like it's like

476
00:23:06,040 --> 00:23:07,639
Speaker 5: you fucking there. Well, it's like you.

477
00:23:07,640 --> 00:23:09,720
Speaker 3: Yeah, you go, you go to the Like this is

478
00:23:09,720 --> 00:23:11,439
Speaker 3: why like I'm a I don't know, like I'm kind

479
00:23:11,440 --> 00:23:12,960
Speaker 3: of a history buff. It's like I like kind of

480
00:23:13,000 --> 00:23:15,000
Speaker 3: whenever I travel, I like like check out places like this,

481
00:23:15,080 --> 00:23:17,040
Speaker 3: and it's like, yeah, you go there, and you really

482
00:23:17,040 --> 00:23:18,639
Speaker 3: do get a sense of like, yeah, that's not that

483
00:23:18,840 --> 00:23:23,360
Speaker 3: hard of a shot. It's like it's like people, look,

484
00:23:23,400 --> 00:23:25,800
Speaker 3: I played counter Strike, Like I don't know, it's just

485
00:23:25,880 --> 00:23:29,440
Speaker 3: it's yeah, yeah, yeah, you know, Like so it's it

486
00:23:29,560 --> 00:23:30,840
Speaker 3: just kind of feels like, oh yeah, it's like an

487
00:23:31,040 --> 00:23:33,440
Speaker 3: it's like six floors up. It's like a pretty much

488
00:23:33,440 --> 00:23:35,520
Speaker 3: straight shot. And it's like the way the road is

489
00:23:35,520 --> 00:23:37,320
Speaker 3: set up is it's like, oh, it's like it's like

490
00:23:37,359 --> 00:23:40,119
Speaker 3: a straight he's driving like straight from the background to

491
00:23:40,160 --> 00:23:42,359
Speaker 3: the foreground, if that makes sense. It's like it's like

492
00:23:42,440 --> 00:23:44,400
Speaker 3: he's driving in a lot. So it's like, I don't

493
00:23:44,400 --> 00:23:46,520
Speaker 3: know anybody that's a conspiracy theorist. It's like if you

494
00:23:46,600 --> 00:23:49,119
Speaker 3: go to that place, it's like, yeah, it's like probably

495
00:23:49,800 --> 00:23:51,000
Speaker 3: not a conspiracy there.

496
00:23:51,119 --> 00:23:53,560
Speaker 5: Literally said that day, like, man, if someone wanted to

497
00:23:53,560 --> 00:23:55,760
Speaker 5: shoot us from a window, we'd be sitting ducks.

498
00:23:55,960 --> 00:23:59,760
Speaker 2: Like JFK said that. Yeah, yeah, yeah his last thing,

499
00:24:00,119 --> 00:24:00,840
Speaker 2: last quote. Yeah.

500
00:24:00,880 --> 00:24:03,360
Speaker 5: I think the same with like Trump, Like he likes

501
00:24:03,440 --> 00:24:06,440
Speaker 5: to golf and he's this larger than life personality who

502
00:24:06,560 --> 00:24:09,919
Speaker 5: just like always wants to be out and not you know,

503
00:24:10,040 --> 00:24:13,239
Speaker 5: I'm sure he's a very difficult person to like argue with.

504
00:24:13,680 --> 00:24:13,879
Speaker 5: You know.

505
00:24:14,520 --> 00:24:16,639
Speaker 2: Yeah, I mean like so that basically sounds like it's

506
00:24:16,680 --> 00:24:18,320
Speaker 2: to the point where you have to put hands on

507
00:24:18,440 --> 00:24:20,439
Speaker 2: him if you want to stop him, Like just like

508
00:24:20,440 --> 00:24:22,560
Speaker 2: with January sixth, when he tried to hop over and

509
00:24:22,600 --> 00:24:26,800
Speaker 2: take the wheel of like the suburban. Oh right, Like, yo, bro,

510
00:24:27,520 --> 00:24:30,399
Speaker 2: we let you cook enough. Bro, Now I have told you.

511
00:24:30,440 --> 00:24:32,280
Speaker 2: I'm sorry, dude, I don't mean to put hands on you.

512
00:24:32,320 --> 00:24:35,040
Speaker 5: But no, yeah, so I don't. Yeah. I just think

513
00:24:35,400 --> 00:24:39,560
Speaker 5: the Secret Service is both very limited compared to like

514
00:24:39,600 --> 00:24:42,640
Speaker 5: what we've seen in movies. They're not this like fully

515
00:24:42,720 --> 00:24:46,919
Speaker 5: buttoned up team of like you know, experts. And also

516
00:24:47,760 --> 00:24:52,120
Speaker 5: sometimes they just like will be persuaded by the thing

517
00:24:52,200 --> 00:24:54,359
Speaker 5: that the like big personality that they're supposed to be

518
00:24:54,359 --> 00:24:56,040
Speaker 5: guarding is like telling them, you know.

519
00:24:56,600 --> 00:24:59,760
Speaker 3: Because ultimately it's like JFK and Trump and Pop like

520
00:24:59,800 --> 00:25:02,240
Speaker 3: they're the Secret Services boss. So it's like if it

521
00:25:02,359 --> 00:25:05,360
Speaker 3: is kind of a like if JFK says like, oh,

522
00:25:05,359 --> 00:25:09,160
Speaker 3: I want to have a convertible, they can't say like sorry, sir.

523
00:25:09,320 --> 00:25:11,199
Speaker 3: I mean they could say, hey, that's dangerous, but they

524
00:25:11,200 --> 00:25:12,120
Speaker 3: can't stop him.

525
00:25:12,200 --> 00:25:16,440
Speaker 5: You know, Hey that's dangerous. Here's why. And he's just like, hey, honey,

526
00:25:16,880 --> 00:25:19,480
Speaker 5: I'm not sitting duck here. Anybody could shoot me from

527
00:25:19,520 --> 00:25:24,359
Speaker 5: the hotel windows. Yeah, moving on, Jesus, all right, let's

528
00:25:24,359 --> 00:25:27,040
Speaker 5: take a quick break and we'll come back and talk

529
00:25:27,080 --> 00:25:29,919
Speaker 5: about the new rules for talking about politics.

530
00:25:29,920 --> 00:25:47,520
Speaker 4: We'll be right back, and we're back and new rules. Well, Jesus,

531
00:25:47,560 --> 00:25:51,120
Speaker 4: my favorite shelt Sorry, I don't mean to rip off

532
00:25:51,200 --> 00:25:56,160
Speaker 4: my favorite comedian, Bill Maher, but there's some new rules.

533
00:25:56,359 --> 00:25:57,040
Speaker 2: Hell yeah, do.

534
00:25:57,520 --> 00:25:58,840
Speaker 3: You want me to do a deep voice drop? And

535
00:25:58,880 --> 00:26:00,480
Speaker 3: you say that, you say new rules, and I say,

536
00:26:00,520 --> 00:26:03,080
Speaker 3: like new rules, the new rules.

537
00:26:06,440 --> 00:26:08,920
Speaker 2: But yeah, I think rather than calling for like actual

538
00:26:08,960 --> 00:26:12,280
Speaker 2: reforms that would make the country safer and by extension,

539
00:26:12,400 --> 00:26:16,160
Speaker 2: donald Trump himself even safer, the right is now just using,

540
00:26:16,280 --> 00:26:19,800
Speaker 2: like take the thwarting of another would be assassin to

541
00:26:19,840 --> 00:26:23,440
Speaker 2: say that it's the Democrats are actually totally at fault here.

542
00:26:23,560 --> 00:26:27,399
Speaker 2: This is all on them. They keep saying Trump is

543
00:26:27,440 --> 00:26:32,639
Speaker 2: a danger and a threat to our democracy. That's just

544
00:26:32,680 --> 00:26:35,040
Speaker 2: how these things happen. You keep saying words like that,

545
00:26:35,080 --> 00:26:37,440
Speaker 2: and people will try and do bad things to Donald

546
00:26:37,480 --> 00:26:41,159
Speaker 2: Trump the campaign. The campaign even released like a long

547
00:26:41,440 --> 00:26:45,240
Speaker 2: list of receipts to prove it. They're like Kamala Harris quote,

548
00:26:45,320 --> 00:26:48,080
Speaker 2: Trump is a threat to our democracy and fundamental freedoms

549
00:26:48,240 --> 00:26:51,399
Speaker 2: Joe Biden, it's time to put Trump in a bull's eye.

550
00:26:51,520 --> 00:26:53,480
Speaker 2: I mean this from the bottom of my heart. Trump

551
00:26:53,560 --> 00:26:55,800
Speaker 2: is a threat to this nation. Then they have just

552
00:26:55,880 --> 00:27:00,159
Speaker 2: everyone Tim Walls, Gwen Walls, Nancy Pelosi. It goes on

553
00:27:00,240 --> 00:27:02,760
Speaker 2: and on and on, and everyone's just talking about like, yeah,

554
00:27:02,760 --> 00:27:05,439
Speaker 2: he's a destructive force to our democracy and you know,

555
00:27:05,560 --> 00:27:08,040
Speaker 2: like we cannot with this man should not be near

556
00:27:08,080 --> 00:27:08,920
Speaker 2: office at all.

557
00:27:09,400 --> 00:27:12,720
Speaker 5: And so Gwen, they have Gwen Walls saying bye bye

558
00:27:12,800 --> 00:27:15,160
Speaker 5: Donald Trump. Yep, yeah, and by.

559
00:27:15,119 --> 00:27:19,040
Speaker 2: The threat heard just didn't bleep that because I don't

560
00:27:19,080 --> 00:27:27,040
Speaker 2: want to show bye bye bye bye by Donald old

561
00:27:27,359 --> 00:27:31,600
Speaker 2: David bye Jesus by Yeah, bye bye bye bye.

562
00:27:31,640 --> 00:27:36,040
Speaker 5: Now what that is? That is truly wild that they're

563
00:27:36,080 --> 00:27:40,879
Speaker 5: like And she said that immediately after firing the shot,

564
00:27:41,160 --> 00:27:42,280
Speaker 5: like that's the only.

565
00:27:42,080 --> 00:27:44,000
Speaker 2: Way that that would be.

566
00:27:44,280 --> 00:27:48,120
Speaker 3: She was holding an AK forty. She was saying yeah, yeah.

567
00:27:48,200 --> 00:27:52,520
Speaker 2: Immediately before lit up a twelve pack of Trump beer cans. Right.

568
00:27:54,080 --> 00:27:56,280
Speaker 2: But then they have like other stuff and they put

569
00:27:56,280 --> 00:27:59,760
Speaker 2: like disgraced Harris Stafford, like they're putting modifiers in front

570
00:27:59,760 --> 00:28:02,160
Speaker 2: of people's names, just like in front of a quote.

571
00:28:02,359 --> 00:28:05,240
Speaker 2: But anyway, this is them proving look how many times

572
00:28:05,240 --> 00:28:09,120
Speaker 2: people accurately described how Donald Trump at a destructive force

573
00:28:09,200 --> 00:28:10,240
Speaker 2: to political.

574
00:28:09,760 --> 00:28:12,239
Speaker 5: Norms in the United States, So they did slide one

575
00:28:12,320 --> 00:28:16,000
Speaker 5: in there. Representative Dan Goldman did say he is destructive

576
00:28:16,040 --> 00:28:18,760
Speaker 5: to our democracy and dot dot dot. I don't know

577
00:28:18,800 --> 00:28:22,040
Speaker 5: what they removed there. He has to be eliminated, which

578
00:28:22,320 --> 00:28:25,840
Speaker 5: does feel rhetorically like the sort of thing that you

579
00:28:25,840 --> 00:28:28,640
Speaker 5: would get called out on in the Democratic Party as

580
00:28:28,720 --> 00:28:31,119
Speaker 5: like being, I don't know, that seems over the line, man,

581
00:28:31,160 --> 00:28:33,960
Speaker 5: what are you the fucking terminator. We're just like trying

582
00:28:34,000 --> 00:28:39,080
Speaker 5: to win an election here, And they like I've seen

583
00:28:39,120 --> 00:28:42,520
Speaker 5: this quoted on social media, people being like he said

584
00:28:42,520 --> 00:28:46,880
Speaker 5: this right after the assassination attempts. In fact, he said

585
00:28:46,880 --> 00:28:52,400
Speaker 5: this back in twenty twenty three and immediately got in hot,

586
00:28:52,520 --> 00:28:56,080
Speaker 5: got in shit, and like had to apologize like right away.

587
00:28:56,080 --> 00:28:58,960
Speaker 5: It was like, oh, he's like, no, no, no, I misspoke.

588
00:28:59,000 --> 00:29:01,200
Speaker 5: I didn't mean that. But that is the bait and

589
00:29:01,200 --> 00:29:02,680
Speaker 5: switch they're doing, like.

590
00:29:02,640 --> 00:29:05,360
Speaker 2: Oh yeah, yeah, yeah, many things like this, And that's

591
00:29:05,400 --> 00:29:08,680
Speaker 2: also here from JD. Vance, who has a warning for

592
00:29:08,760 --> 00:29:10,719
Speaker 2: all of us about our words and the power of

593
00:29:10,760 --> 00:29:11,360
Speaker 2: our words.

594
00:29:11,560 --> 00:29:14,920
Speaker 5: Is this the quote where he calls Trump America's Hitler.

595
00:29:15,080 --> 00:29:18,280
Speaker 2: Oh no, no, that was earlier. That was not his own,

596
00:29:18,520 --> 00:29:22,720
Speaker 2: or that his own rhetoric that compares him to actual

597
00:29:22,760 --> 00:29:25,600
Speaker 2: despotic leaders. But anyway, not to say that Trump isn't.

598
00:29:25,640 --> 00:29:26,840
Speaker 2: But here's Senator JD.

599
00:29:27,000 --> 00:29:30,200
Speaker 7: Vance and I know it's popular on a lot of

600
00:29:30,280 --> 00:29:31,080
Speaker 7: corners of the left.

601
00:29:31,200 --> 00:29:34,160
Speaker 2: I think this sound. It just fucked me up so bad.

602
00:29:34,200 --> 00:29:36,080
Speaker 2: It was like a bunch of mosquitoes. It's just a

603
00:29:36,560 --> 00:29:39,520
Speaker 2: lot of humming. Sorry to my audio engineers out there.

604
00:29:39,560 --> 00:29:42,800
Speaker 3: The main audience for JD. Vance speeches is swarms of bugs.

605
00:29:42,840 --> 00:29:46,720
Speaker 2: Yeah, yeah, exactly. It's like Jesus, It's like, what's going on, dude.

606
00:29:46,720 --> 00:29:48,480
Speaker 2: It's like I only see this when there's a dead

607
00:29:48,520 --> 00:29:49,200
Speaker 2: body around.

608
00:29:49,480 --> 00:29:52,960
Speaker 5: They use that high pitched wine that like scares teenagers away.

609
00:29:54,640 --> 00:29:57,920
Speaker 5: There's yeah, don't there should be no genum with it here.

610
00:29:58,000 --> 00:30:01,480
Speaker 2: No, No, okay, go on, JD that we have a we.

611
00:30:01,480 --> 00:30:04,040
Speaker 7: Have a both sides problem. And I'm not gonna say

612
00:30:04,080 --> 00:30:07,280
Speaker 7: we're always perfect. I'm not gonna say that conservatives always

613
00:30:07,280 --> 00:30:10,160
Speaker 7: get things exactly right. But you know the big difference

614
00:30:10,240 --> 00:30:14,040
Speaker 7: between conservatives and liberals is that we have no one

615
00:30:14,120 --> 00:30:16,640
Speaker 7: has tried to kill Kamala Harris and.

616
00:30:16,880 --> 00:30:18,800
Speaker 2: Was he going to say, we haven't tried to kill

617
00:30:19,960 --> 00:30:22,880
Speaker 2: we haven't tried to turn that bone on mister. Let's

618
00:30:22,920 --> 00:30:25,120
Speaker 2: see that Freudian slip one more time. Is that we

619
00:30:25,240 --> 00:30:26,880
Speaker 2: have no one has oh.

620
00:30:26,840 --> 00:30:27,920
Speaker 3: Jesus, yeah, you're right.

621
00:30:27,960 --> 00:30:31,320
Speaker 8: Yeah, a couple of months and two people now have

622
00:30:31,400 --> 00:30:33,680
Speaker 8: tried to kill Donald Trump in the last couple of months.

623
00:30:33,800 --> 00:30:36,840
Speaker 8: I'd say that's pretty strong evidence that the left needs

624
00:30:36,880 --> 00:30:39,360
Speaker 8: to tone down the rhetoric and needs to cut this

625
00:30:39,440 --> 00:30:39,960
Speaker 8: crap out.

626
00:30:40,320 --> 00:30:42,800
Speaker 2: I think what's really funny too, is like just because

627
00:30:42,840 --> 00:30:47,120
Speaker 2: someone obviously this these people had a lot of issues,

628
00:30:47,480 --> 00:30:49,600
Speaker 2: but it just really was like, well, if they're against Trump,

629
00:30:49,640 --> 00:30:51,200
Speaker 2: then they're a liberal, Like.

630
00:30:51,280 --> 00:30:54,840
Speaker 3: Oh, like both people like vote for Trump.

631
00:30:54,840 --> 00:30:57,520
Speaker 2: Yes, yeah, and you know the latest guy like you know,

632
00:30:57,520 --> 00:30:59,840
Speaker 2: he gave donations to like Act Blue. So they're like, yeah,

633
00:30:59,840 --> 00:31:02,480
Speaker 2: there's just guys definitely like a Democrat or whatever. But

634
00:31:02,520 --> 00:31:04,800
Speaker 2: when you look at sort of like the totality of

635
00:31:04,880 --> 00:31:06,920
Speaker 2: what he has said and his actions are like, I

636
00:31:06,960 --> 00:31:09,000
Speaker 2: don't even know what bucket you put this guy in

637
00:31:09,080 --> 00:31:09,400
Speaker 2: at all.

638
00:31:09,840 --> 00:31:14,560
Speaker 5: He was just all time dipshit. This guy Ryan whatever,

639
00:31:14,960 --> 00:31:19,719
Speaker 5: Ruth Ralph, Yeah, Ryan Ralph, worst assassin name of all time. Sorry,

640
00:31:19,880 --> 00:31:21,840
Speaker 5: I just it sucks. Ryan.

641
00:31:22,440 --> 00:31:27,240
Speaker 3: You hear John Wilkes Booth, Yeah, exactly like John Wilkes

642
00:31:27,240 --> 00:31:29,200
Speaker 3: Booth like born for it.

643
00:31:29,360 --> 00:31:32,719
Speaker 5: You know what a name for an assassin? Ryan Ralph,

644
00:31:33,160 --> 00:31:37,040
Speaker 5: Like you should be a D three quarterback or something

645
00:31:37,080 --> 00:31:41,560
Speaker 5: like yeah, yeah, but it's not too late. How many

646
00:31:41,600 --> 00:31:46,760
Speaker 5: years eligibility you got? Man, He's like militaristic in his

647
00:31:46,920 --> 00:31:50,960
Speaker 5: pro Ukrainian stance, like in the in Going There, Yeah,

648
00:31:51,040 --> 00:31:54,480
Speaker 5: Going He went there and was like, now, I recognize

649
00:31:54,520 --> 00:31:57,760
Speaker 5: you might not want me as a fighter because I

650
00:31:57,840 --> 00:32:02,040
Speaker 5: have no military expertise or experience. And they were like, yeah,

651
00:32:02,120 --> 00:32:03,760
Speaker 5: let me cut you off there, No, we don't want you.

652
00:32:04,800 --> 00:32:08,400
Speaker 2: And I think they were even like talk tried to

653
00:32:08,400 --> 00:32:10,840
Speaker 2: talk to law enforcement because they were so put off

654
00:32:10,880 --> 00:32:11,440
Speaker 2: by this guy.

655
00:32:11,480 --> 00:32:14,960
Speaker 5: Everyone that this guy deals with like just got the

656
00:32:15,040 --> 00:32:19,720
Speaker 5: wildest Like they were just like he's scary. What an

657
00:32:19,840 --> 00:32:23,000
Speaker 5: arresting officer who like arrested him for having a weapon

658
00:32:23,000 --> 00:32:26,160
Speaker 5: of mass destruction a gun that he had modified to

659
00:32:26,280 --> 00:32:28,239
Speaker 5: be a full automatic.

660
00:32:28,640 --> 00:32:34,720
Speaker 3: Gun that he welded together to make five guys.

661
00:32:32,640 --> 00:32:37,880
Speaker 5: Like Barrel winted in all directions made super gun, pulled

662
00:32:37,920 --> 00:32:40,560
Speaker 5: him over and he like tried to scramble to hide

663
00:32:40,600 --> 00:32:42,160
Speaker 5: it because he like had it in the front seat

664
00:32:42,200 --> 00:32:43,280
Speaker 5: with him for something with.

665
00:32:43,200 --> 00:32:48,320
Speaker 2: A wig on it. Yeah, she's fine, She's just a

666
00:32:48,360 --> 00:32:49,000
Speaker 2: little tired.

667
00:32:49,280 --> 00:32:54,520
Speaker 5: Yeah, but the arresting officer said she thought he would

668
00:32:54,560 --> 00:32:57,240
Speaker 5: be either dead or in prison by now. She added,

669
00:32:57,320 --> 00:32:59,440
Speaker 5: I had no clue that he had moved on and

670
00:32:59,560 --> 00:33:03,120
Speaker 5: was continued doing his escapades. And then somebody who worked

671
00:33:03,160 --> 00:33:06,240
Speaker 5: for him at his roofing business told The Independent that

672
00:33:06,320 --> 00:33:10,000
Speaker 5: her former boss had quote a local reputation for doing

673
00:33:10,120 --> 00:33:10,880
Speaker 5: stupid shit.

674
00:33:12,680 --> 00:33:14,840
Speaker 3: I mean, I wanted to see a bullet list of

675
00:33:14,880 --> 00:33:16,040
Speaker 3: what that stupid shit is.

676
00:33:16,280 --> 00:33:19,720
Speaker 5: I mean, like we know, on the international stage, like

677
00:33:19,760 --> 00:33:23,600
Speaker 5: once he contacted Kim Jong un and invited him to

678
00:33:23,680 --> 00:33:26,520
Speaker 5: go to Hawaii on a vacation and offered to be

679
00:33:26,680 --> 00:33:30,440
Speaker 5: his like liaison there with like no context.

680
00:33:30,520 --> 00:33:32,960
Speaker 2: Dude, you are not Dennis Rodman. You are not Kim

681
00:33:33,040 --> 00:33:35,960
Speaker 2: Jong Un. A'm pulling up for you. Yes, only only

682
00:33:36,000 --> 00:33:36,440
Speaker 2: the worm.

683
00:33:36,880 --> 00:33:41,120
Speaker 5: But yeah, I mean he's just the exact sort of

684
00:33:42,080 --> 00:33:46,600
Speaker 5: impressionable dummy that makes the ability to get a gun

685
00:33:46,640 --> 00:33:50,520
Speaker 5: at at any time in the United States so dangerous.

686
00:33:51,080 --> 00:33:55,200
Speaker 3: Sure, but I also feel like this is I mean, like, yeah,

687
00:33:55,320 --> 00:33:59,040
Speaker 3: like the rhetoric's hot for sure for both sides, you

688
00:33:59,080 --> 00:34:01,440
Speaker 3: know you but it's like yeah, yeah, it's hot. But

689
00:34:01,480 --> 00:34:03,840
Speaker 3: it's like I feel like part of it is that

690
00:34:04,360 --> 00:34:09,040
Speaker 3: Trump is so like usually I feel like when presidents travel,

691
00:34:09,360 --> 00:34:12,200
Speaker 3: they're very careful, right, It's like there's a level of

692
00:34:12,239 --> 00:34:14,720
Speaker 3: like allowing secret Service, like knowing where you're going, allowing

693
00:34:14,719 --> 00:34:17,200
Speaker 3: for Secret Service to like, you know, scope applications, and

694
00:34:17,239 --> 00:34:19,319
Speaker 3: it's just a very It's like it's just like a

695
00:34:19,360 --> 00:34:21,680
Speaker 3: process for a president to visit a place. And I

696
00:34:21,719 --> 00:34:23,319
Speaker 3: feel like Trump is just a guy that kind of

697
00:34:23,360 --> 00:34:26,439
Speaker 3: does whatever he wants in such a way that it's like, yeah,

698
00:34:26,480 --> 00:34:28,640
Speaker 3: he probably just five minutes before golfing was like I

699
00:34:28,640 --> 00:34:30,680
Speaker 3: want a golf that that you know, that golf courus

700
00:34:30,800 --> 00:34:33,040
Speaker 3: and that's what happened. Yeah, And then it's like there

701
00:34:33,080 --> 00:34:35,680
Speaker 3: wasn't really time for the proper procedures of Secret Service

702
00:34:35,719 --> 00:34:36,439
Speaker 3: like checking the place.

703
00:34:36,520 --> 00:34:38,720
Speaker 2: And even though I mean like they but they caught

704
00:34:38,800 --> 00:34:41,719
Speaker 2: him five hundred yards away from Trump. He wasn't even

705
00:34:41,760 --> 00:34:43,480
Speaker 2: in the line of sight, Like Trump wasn't even the

706
00:34:43,520 --> 00:34:45,520
Speaker 2: line of sight of this guy. And did the guy

707
00:34:45,680 --> 00:34:47,880
Speaker 2: fire shots? No, he didn't fire one. No, I think

708
00:34:47,920 --> 00:34:50,160
Speaker 2: secret Service fired at him. Yeah, but this guy.

709
00:34:50,560 --> 00:34:53,759
Speaker 5: That's interesting because the way it's being reported, even in

710
00:34:53,840 --> 00:34:57,719
Speaker 5: the watch is that there were shots fired and like

711
00:34:58,040 --> 00:35:01,719
Speaker 5: the secret and yeah, it's exactly the same as the

712
00:35:01,880 --> 00:35:05,920
Speaker 5: fucking NYPD thing on the subway, where they're like there

713
00:35:06,000 --> 00:35:10,000
Speaker 5: was an officer involved like shooting, and two officers were

714
00:35:10,040 --> 00:35:13,680
Speaker 5: wounded by an armed fair jumper and it was like

715
00:35:13,719 --> 00:35:17,719
Speaker 5: a disturbed person who didn't pay their fare and had

716
00:35:17,719 --> 00:35:20,560
Speaker 5: a knife, and then the NYPD showed up and like

717
00:35:20,600 --> 00:35:23,840
Speaker 5: started shooting each other, and they're like they make it

718
00:35:23,880 --> 00:35:26,600
Speaker 5: sound like it was a person, an armed person shooting

719
00:35:26,600 --> 00:35:29,120
Speaker 5: on the subway, and only shooting on the subway was

720
00:35:29,160 --> 00:35:29,720
Speaker 5: the NYPD.

721
00:35:30,239 --> 00:35:34,040
Speaker 2: I think I just by definition, Trump is a threat,

722
00:35:34,400 --> 00:35:37,800
Speaker 2: meaning a person that has the potential to cause harm.

723
00:35:38,080 --> 00:35:41,080
Speaker 2: Like that's just by the very definition of it. I

724
00:35:41,120 --> 00:35:44,720
Speaker 2: don't think again, taking lessons from this group on rhetoric

725
00:35:44,960 --> 00:35:46,759
Speaker 2: is like useful at all. And I don't think, yeah,

726
00:35:46,760 --> 00:35:49,719
Speaker 2: for me to run down like a lot of people

727
00:35:49,760 --> 00:35:52,160
Speaker 2: are obviously gonna run down all the time, Trump had

728
00:35:52,200 --> 00:35:55,839
Speaker 2: like truly violent and dehumanizing rhetoric that he uses. So

729
00:35:56,320 --> 00:35:59,399
Speaker 2: my response to this is like, Okay, yeah, like try

730
00:35:59,440 --> 00:36:01,880
Speaker 2: something like a new fucking angle, Like I think the

731
00:36:01,880 --> 00:36:04,520
Speaker 2: people on the right actually in visional world where like

732
00:36:04,600 --> 00:36:08,160
Speaker 2: those who don't conform to their definitions of American or

733
00:36:08,239 --> 00:36:11,759
Speaker 2: normal would have some kind of violent repercussions, so they

734
00:36:11,760 --> 00:36:15,279
Speaker 2: don't understand anything like nuance or whatever, because again, it's

735
00:36:15,320 --> 00:36:17,319
Speaker 2: not even about what they know or don't know. They

736
00:36:17,400 --> 00:36:20,200
Speaker 2: just found a moment where suddenly the scales are kind

737
00:36:20,239 --> 00:36:23,839
Speaker 2: of tipping in their favor because there's someone it was like,

738
00:36:23,960 --> 00:36:25,640
Speaker 2: aiming to try and do harm to Trump that they

739
00:36:25,640 --> 00:36:27,400
Speaker 2: can go, Okay, now we can use this to be like,

740
00:36:27,400 --> 00:36:28,600
Speaker 2: oh my god, you guys are so bad. You guys

741
00:36:28,600 --> 00:36:29,800
Speaker 2: are so bad. It's not about us anymore.

742
00:36:29,880 --> 00:36:32,400
Speaker 3: Yeah, it feels like it's like such a political gotcha

743
00:36:32,520 --> 00:36:35,640
Speaker 3: kind of thing where it's just like it's like not productive,

744
00:36:35,920 --> 00:36:38,160
Speaker 3: you know. And it also does oline like how have

745
00:36:38,320 --> 00:36:39,920
Speaker 3: you have a threat? Like, you know, Trump is too

746
00:36:40,520 --> 00:36:42,520
Speaker 3: a lot of this stuff. So, you know, I think

747
00:36:42,520 --> 00:36:44,360
Speaker 3: that my two cents on this are gonna be summed

748
00:36:44,440 --> 00:36:50,520
Speaker 3: up in a little quote from Gwen Walls. But bye, Donald, Sorry,

749
00:36:50,520 --> 00:36:52,040
Speaker 3: I didn't mean to say hate speech like that.

750
00:36:52,200 --> 00:36:52,520
Speaker 5: Sorry.

751
00:36:52,640 --> 00:36:55,480
Speaker 3: Sorry, by at the voting booth, Bye bye.

752
00:36:55,520 --> 00:36:57,240
Speaker 2: We're gonna tell him bye bye. Huh.

753
00:36:57,560 --> 00:37:03,719
Speaker 5: Yeah, I do think it's probably worth acknowledging the violence

754
00:37:03,880 --> 00:37:07,520
Speaker 5: of his rhetoric in response to the assassination attempts and

755
00:37:07,560 --> 00:37:11,520
Speaker 5: the fact that he is making it like blaming it

756
00:37:11,680 --> 00:37:15,359
Speaker 5: on the Democrats, which takes it into this context of

757
00:37:15,480 --> 00:37:18,919
Speaker 5: like there's already essentially a civil war happening, and they're

758
00:37:18,960 --> 00:37:20,920
Speaker 5: like trying to kill me.

759
00:37:21,760 --> 00:37:23,200
Speaker 2: It dot dot dot.

760
00:37:23,400 --> 00:37:26,239
Speaker 5: It just feels like we've, like what led heard, a

761
00:37:26,320 --> 00:37:29,160
Speaker 5: new very dangerous situation because.

762
00:37:28,800 --> 00:37:32,279
Speaker 2: Of that, rather than we don't have like firearms Lucy's

763
00:37:32,320 --> 00:37:33,959
Speaker 2: hanging all around the country for people.

764
00:37:34,040 --> 00:37:36,080
Speaker 3: Yeah, it's like you look at there was that like

765
00:37:36,120 --> 00:37:38,160
Speaker 3: Elon Musk tweet like, I want to say a couple

766
00:37:38,200 --> 00:37:40,520
Speaker 3: of days ago, who like Elon Musk, clearly want of

767
00:37:40,560 --> 00:37:43,600
Speaker 3: Trump's advisors, you know, where he essentially said something the

768
00:37:43,600 --> 00:37:46,080
Speaker 3: effect of like people should start assassinate trying to assasinate

769
00:37:46,440 --> 00:37:47,399
Speaker 3: Kamala or something.

770
00:37:47,880 --> 00:37:51,960
Speaker 5: Did not Joey, Joey not fair. He didn't say that.

771
00:37:52,000 --> 00:37:55,560
Speaker 5: He was like, gosh, nobody's even trying to assassinate them.

772
00:37:56,560 --> 00:37:59,200
Speaker 5: You're right, saying no, he didn't sing.

773
00:38:00,120 --> 00:38:02,600
Speaker 3: You, yeah, you're right, I'm sorry. He was being blew

774
00:38:02,600 --> 00:38:05,239
Speaker 3: off the handle there. You should say bye bye to me.

775
00:38:05,880 --> 00:38:07,239
Speaker 5: Joey bye bye on that way.

776
00:38:07,320 --> 00:38:13,120
Speaker 2: Oh no, let's bring in our next guest since Joey. No, sorry,

777
00:38:13,120 --> 00:38:14,560
Speaker 2: we're going what we're saying about the Elon thing.

778
00:38:15,200 --> 00:38:18,360
Speaker 3: Yeah, I don't know, it's just it's just a dangerous

779
00:38:18,360 --> 00:38:21,200
Speaker 3: as ship. Well, I mean, but they're just you know.

780
00:38:21,760 --> 00:38:24,560
Speaker 2: If we're talking about words that end up in violent outcomes,

781
00:38:24,640 --> 00:38:27,520
Speaker 2: look at the people in Aurora, in Springfield, OHI you

782
00:38:27,520 --> 00:38:29,239
Speaker 2: know what I mean, Like there are people talking about

783
00:38:29,280 --> 00:38:32,120
Speaker 2: how like they're getting harassed, they're getting their shit vandalized

784
00:38:32,160 --> 00:38:35,840
Speaker 2: by people because people are so there's a poll. Again,

785
00:38:35,920 --> 00:38:37,960
Speaker 2: polls are like whatever, but a lot of the respond

786
00:38:38,040 --> 00:38:41,799
Speaker 2: the Republican respondents over fifty percent, were like, yeah, I

787
00:38:41,880 --> 00:38:45,560
Speaker 2: probably believe that these immigrants are eating pets, and you're

788
00:38:45,600 --> 00:38:49,080
Speaker 2: like right, and then that which said that they made

789
00:38:49,160 --> 00:38:53,600
Speaker 2: up Yeah, right exactly. But again it's like so just

790
00:38:53,640 --> 00:38:56,400
Speaker 2: like miss me with this, someone is gonna get hurt. Bullshit,

791
00:38:56,520 --> 00:39:00,440
Speaker 2: Like these things are already happening and we're already ignoring them, like,

792
00:39:00,920 --> 00:39:03,719
Speaker 2: you know, pretty consistently. So like think about even that

793
00:39:04,080 --> 00:39:07,600
Speaker 2: mass shooting that was in El Paso during the Trump administration, right,

794
00:39:07,800 --> 00:39:10,640
Speaker 2: and he was talking about we got an immigrant invasion

795
00:39:10,760 --> 00:39:12,880
Speaker 2: coming and all this stuff and all this like like

796
00:39:12,920 --> 00:39:16,840
Speaker 2: fear mongering that that killer was like echoing that immigrant

797
00:39:16,840 --> 00:39:20,359
Speaker 2: invasion rhetoric like in his own communication, So what like

798
00:39:20,520 --> 00:39:23,040
Speaker 2: what what are you actually talking about it? This is

799
00:39:23,080 --> 00:39:27,080
Speaker 2: just an embarrassingly weak attempt to appeal to people's decency

800
00:39:27,360 --> 00:39:29,600
Speaker 2: from a group of people that have never extended that

801
00:39:29,719 --> 00:39:33,520
Speaker 2: kind of grace to fucking anyone. So it reaks a desperation.

802
00:39:33,880 --> 00:39:36,640
Speaker 2: And when like the when the people whose whole brand

803
00:39:36,719 --> 00:39:39,160
Speaker 2: is we don't give a fuck if what we say

804
00:39:39,320 --> 00:39:41,200
Speaker 2: is true or not, and if it actually gets people

805
00:39:41,320 --> 00:39:44,840
Speaker 2: hurt to suddenly cry about it, like to cry about

806
00:39:44,880 --> 00:39:47,880
Speaker 2: out of control rhetoric, come on, like this is just

807
00:39:47,960 --> 00:39:51,000
Speaker 2: you tried this in July. Also, and people have the

808
00:39:51,040 --> 00:39:53,120
Speaker 2: same feeling where they're like, this is really rich coming

809
00:39:53,160 --> 00:39:53,400
Speaker 2: from you.

810
00:39:53,840 --> 00:39:56,600
Speaker 3: Well yeah, and it's also it's just it's it's rough

811
00:39:56,600 --> 00:39:59,200
Speaker 3: to hear this kind of response from the same group

812
00:39:59,239 --> 00:40:01,560
Speaker 3: of people who saying stuff like, oh, school shootings are

813
00:40:01,560 --> 00:40:02,879
Speaker 3: just a fact of life, you know, you just got

814
00:40:02,960 --> 00:40:05,160
Speaker 3: used to them, Like it just feels like, oh, you're

815
00:40:05,160 --> 00:40:08,000
Speaker 3: not enraged about that, Like you're only enragement affects to you,

816
00:40:08,120 --> 00:40:09,239
Speaker 3: or when you feel like you can use it for

817
00:40:09,320 --> 00:40:11,000
Speaker 3: political when right.

818
00:40:11,320 --> 00:40:13,520
Speaker 2: I mean, look, if the media wants to cave to

819
00:40:14,000 --> 00:40:16,480
Speaker 2: this fake outrage, I think we can come up with

820
00:40:16,560 --> 00:40:20,000
Speaker 2: a whole list of alternatives to threat or danger that

821
00:40:20,040 --> 00:40:28,319
Speaker 2: would also work, like legit criminal, sexual predator, has mushroom dick, racist,

822
00:40:28,920 --> 00:40:33,319
Speaker 2: creepiest father in America? Oh yes, yeah yeah, no no

823
00:40:33,400 --> 00:40:37,680
Speaker 2: cap no cap some some cap mostly cap. But you

824
00:40:37,760 --> 00:40:40,680
Speaker 2: know what I mean, Like, well, we'll see like where

825
00:40:40,719 --> 00:40:44,480
Speaker 2: this goes. I know there everyone's looking to maybe Thursday

826
00:40:44,640 --> 00:40:47,839
Speaker 2: when Kamala does a sit down with Oprah to see

827
00:40:48,120 --> 00:40:51,360
Speaker 2: how if there'll be any like direct response. But again,

828
00:40:51,920 --> 00:40:54,239
Speaker 2: like this just feels like when the way JD. Van's like,

829
00:40:54,320 --> 00:40:56,719
Speaker 2: we got to knock this stuff off, like quit quit

830
00:40:56,800 --> 00:41:00,319
Speaker 2: describing how bad he is for this country, because gonna

831
00:41:00,320 --> 00:41:01,919
Speaker 2: get someone hurt. Your basically saying like can you guys

832
00:41:01,960 --> 00:41:06,960
Speaker 2: like stop your like campaigning, stop did you stop talking?

833
00:41:07,080 --> 00:41:08,719
Speaker 2: Can you just let us tell people how much our

834
00:41:08,760 --> 00:41:09,560
Speaker 2: candidate sucks?

835
00:41:09,880 --> 00:41:12,399
Speaker 5: Yeah, it's not just like it's not right, like why

836
00:41:12,760 --> 00:41:17,840
Speaker 5: you'll pass I Matt shooting is really unbelievable thing that happened,

837
00:41:17,880 --> 00:41:21,719
Speaker 5: and nobody really stopped to be like that he said

838
00:41:21,920 --> 00:41:25,000
Speaker 5: those things. This person listened and went and killed twenty

839
00:41:25,000 --> 00:41:28,759
Speaker 5: two people like it. It's amazing that it didn't cause

840
00:41:28,800 --> 00:41:31,920
Speaker 5: the mainstream media to even like really blink or like

841
00:41:32,000 --> 00:41:33,439
Speaker 5: change how they talked about this shit.

842
00:41:33,560 --> 00:41:36,040
Speaker 2: There's just like, yeah, that's it. I'd say the media

843
00:41:36,040 --> 00:41:38,960
Speaker 2: does a really good job of ignoring terrible rhetoric from

844
00:41:38,960 --> 00:41:42,400
Speaker 2: every from every angle. So it's like, again, JD Vance,

845
00:41:42,440 --> 00:41:44,719
Speaker 2: I know things are hard right now, Dude, he just

846
00:41:44,800 --> 00:41:47,920
Speaker 2: did it. He's he's speaking right now as we record this.

847
00:41:48,440 --> 00:41:51,040
Speaker 2: He is saying already, I'm just let me just play

848
00:41:51,080 --> 00:41:54,280
Speaker 2: a couple just gems already that he's saying, he's doubling

849
00:41:54,360 --> 00:41:57,719
Speaker 2: down on Haitian migrants. Look at this guy, I think

850
00:41:57,719 --> 00:42:01,040
Speaker 2: he needs a geography lesson. Listen to where Haitian immigrants

851
00:42:01,080 --> 00:42:01,560
Speaker 2: come from.

852
00:42:01,480 --> 00:42:06,120
Speaker 7: Because over the last few years, twenty thousand migrants, primarily

853
00:42:06,160 --> 00:42:08,400
Speaker 7: from Haitia have been dropped into Springfield.

854
00:42:09,120 --> 00:42:12,960
Speaker 3: I'm sorry, hey, that was gonna be my joke answer

855
00:42:13,000 --> 00:42:14,560
Speaker 3: of where I thought he was going to say.

856
00:42:14,560 --> 00:42:18,520
Speaker 2: There, wow, JD One more.

857
00:42:18,480 --> 00:42:20,880
Speaker 7: Just for the kids and merrily from Haitia have been

858
00:42:20,960 --> 00:42:22,359
Speaker 7: dropped into Springfield or Highs.

859
00:42:22,440 --> 00:42:26,000
Speaker 2: Okay, yeah, so shout out all my back in Haitia.

860
00:42:27,000 --> 00:42:30,959
Speaker 2: And then then he also said this, he's talking about

861
00:42:31,080 --> 00:42:33,880
Speaker 2: RFK Junior. And then just as another slip, just doesn't

862
00:42:33,920 --> 00:42:36,240
Speaker 2: know who he's talking about. Here's him talking about RFK Junior.

863
00:42:36,320 --> 00:42:38,239
Speaker 7: I mean, we're very proud on our side to have

864
00:42:38,280 --> 00:42:39,720
Speaker 7: the support of Bobby Kennedy Junior.

865
00:42:39,920 --> 00:42:40,759
Speaker 2: And he's a great guy.

866
00:42:40,800 --> 00:42:42,840
Speaker 7: I've gotten known very well over the last few weeks.

867
00:42:48,680 --> 00:42:52,360
Speaker 7: But I think in many ways, this country never healed

868
00:42:52,400 --> 00:42:54,560
Speaker 7: from the assassination of Robert F. Kennedy Junior.

869
00:42:56,960 --> 00:43:01,320
Speaker 2: All right, K no, that I don't even know about

870
00:43:01,320 --> 00:43:01,719
Speaker 2: that ship.

871
00:43:01,800 --> 00:43:01,960
Speaker 5: Bro.

872
00:43:02,120 --> 00:43:04,880
Speaker 2: Hey, we're the pre cogs from Minority Report at right now.

873
00:43:04,960 --> 00:43:07,320
Speaker 3: Yeah, really fast news cycle that that wasn't covered.

874
00:43:07,640 --> 00:43:11,000
Speaker 2: Holy shit. But anyway, so just very I.

875
00:43:11,000 --> 00:43:12,239
Speaker 3: Think the Bear did it. I think it was the

876
00:43:12,239 --> 00:43:12,600
Speaker 3: Bear of the.

877
00:43:14,120 --> 00:43:18,640
Speaker 5: Absolutely came back from the grave. All right, let's take

878
00:43:18,640 --> 00:43:20,839
Speaker 5: a quick break and we'll come back and talk about

879
00:43:20,880 --> 00:43:35,680
Speaker 5: an exciting investment opportunity. We'll be right back, and we're back.

880
00:43:35,920 --> 00:43:36,480
Speaker 2: We're back.

881
00:43:36,960 --> 00:43:40,359
Speaker 5: And just when you thought the Trump campaign couldn't get

882
00:43:40,400 --> 00:43:44,000
Speaker 5: any class, here, he has launched a new crypto project.

883
00:43:44,200 --> 00:43:47,840
Speaker 5: Yes he so. First he did a state of Crypto

884
00:43:48,000 --> 00:43:51,680
Speaker 5: address on Twitter. Oh it's so good, which you know,

885
00:43:51,719 --> 00:43:54,719
Speaker 5: we would have also accepted Tales from the Crypto or

886
00:43:54,880 --> 00:43:57,719
Speaker 5: the cryptos Burg address, but oh the State of the

887
00:43:57,760 --> 00:44:05,000
Speaker 5: Crypto address. The project is called World Liberty Financial, which

888
00:44:05,080 --> 00:44:09,160
Speaker 5: is for your lives, yes, truly run for your lives,

889
00:44:09,160 --> 00:44:13,680
Speaker 5: like designed not to be able to be remembered by

890
00:44:13,719 --> 00:44:17,879
Speaker 5: anybody who hears that word combination. It will be a

891
00:44:18,040 --> 00:44:22,000
Speaker 5: crypto banking platform where the general public will be encouraged

892
00:44:22,000 --> 00:44:24,200
Speaker 5: to borrow, lend, and invest in crypto.

893
00:44:24,360 --> 00:44:27,640
Speaker 3: Well, World Liberty Financial. That feels like you we would

894
00:44:27,680 --> 00:44:29,920
Speaker 3: go into an AI platform and you just type like

895
00:44:30,560 --> 00:44:36,160
Speaker 3: real sounding bank, yeah, the fourth one, or.

896
00:44:36,160 --> 00:44:40,320
Speaker 2: They're like what gives me the best like seo protection

897
00:44:40,800 --> 00:44:43,600
Speaker 2: and that is so nebulous that if you searched World

898
00:44:43,760 --> 00:44:46,759
Speaker 2: Liberty Financial and be like, you can't fucking nail it.

899
00:44:46,719 --> 00:44:50,200
Speaker 5: Down, baby, sounds like a bank from like an eighties

900
00:44:50,800 --> 00:44:56,160
Speaker 5: action movie that has like the guitar music is just

901
00:44:56,719 --> 00:44:59,880
Speaker 5: like ripped from like you know, like the most generic

902
00:45:00,520 --> 00:45:05,080
Speaker 5: right right right, yeah, yeah exactly, just like anyways. When

903
00:45:05,120 --> 00:45:08,160
Speaker 5: asked the so, Trump promoted the endeavor on the far

904
00:45:08,239 --> 00:45:12,879
Speaker 5: right YouTube channel Real America's Voice Yeah, and it kind

905
00:45:12,960 --> 00:45:15,680
Speaker 5: of seemed like he has no clue what the fuck

906
00:45:15,719 --> 00:45:19,160
Speaker 5: crypto even is because he was asked the question why

907
00:45:19,200 --> 00:45:22,320
Speaker 5: is it so important for Americans to lead in cryptocurrency

908
00:45:22,360 --> 00:45:29,640
Speaker 5: adoption and innovation? And he responded with a lot of sentences. Yeah,

909
00:45:29,680 --> 00:45:31,440
Speaker 5: so we'll give him that. You know, he gets a

910
00:45:31,440 --> 00:45:35,799
Speaker 5: point for number of sentences and words that he responded with.

911
00:45:36,440 --> 00:45:40,399
Speaker 2: And it's wild because the question is an absolute softball

912
00:45:41,520 --> 00:45:44,160
Speaker 2: that you can prepare for for the launching of your

913
00:45:44,280 --> 00:45:48,520
Speaker 2: grifty crypto trading space. And here, let's just hear because

914
00:45:48,840 --> 00:45:51,040
Speaker 2: hearing him, you're like, oh, this fucking guy. You can

915
00:45:51,080 --> 00:45:52,800
Speaker 2: almost kind of see on the reactions of the guy's

916
00:45:52,800 --> 00:45:55,439
Speaker 2: faces who know about crypto, they're like, what the fuck

917
00:45:55,560 --> 00:45:55,919
Speaker 2: is this?

918
00:45:56,480 --> 00:45:58,000
Speaker 1: The question I have for you, following up on what

919
00:45:58,120 --> 00:46:02,200
Speaker 1: was asking earlier, is why it's so important for America

920
00:46:02,239 --> 00:46:05,240
Speaker 1: to lead in cryptocrency adoption and innovation?

921
00:46:05,600 --> 00:46:07,920
Speaker 2: Oh, come on now, it's AI.

922
00:46:08,239 --> 00:46:09,839
Speaker 5: It's so many other things, you know.

923
00:46:10,239 --> 00:46:17,880
Speaker 2: AI speaking of an interesting future. It needs tremendous electricity

924
00:46:17,960 --> 00:46:19,480
Speaker 2: capability beyond.

925
00:46:19,239 --> 00:46:21,719
Speaker 5: Anything I've ever heard. It never made sense to me,

926
00:46:21,800 --> 00:46:23,279
Speaker 5: but this is what it needs.

927
00:46:23,640 --> 00:46:26,239
Speaker 2: If you take all of the electricity, doesn't even matter

928
00:46:26,280 --> 00:46:28,480
Speaker 2: because he just started talking about AI and energy. Immediately,

929
00:46:28,520 --> 00:46:30,080
Speaker 2: I'm saying, let him cook.

930
00:46:30,560 --> 00:46:34,759
Speaker 5: Thank you. Now, Okay, that sounded stupid, but if you

931
00:46:34,840 --> 00:46:36,200
Speaker 5: played the won't.

932
00:46:35,960 --> 00:46:41,399
Speaker 2: Won't oh oh under that answer, it would probably work

933
00:46:41,440 --> 00:46:42,040
Speaker 2: a lot better.

934
00:46:42,440 --> 00:46:44,560
Speaker 5: He went on to say, they want to build them

935
00:46:44,560 --> 00:46:47,080
Speaker 5: for the AI and it's very important, but you need

936
00:46:47,160 --> 00:46:50,640
Speaker 5: tremendous electric and in this country because of our strong

937
00:46:50,719 --> 00:46:53,960
Speaker 5: environmental impact statement problems that we have, you know, China

938
00:46:54,000 --> 00:46:55,280
Speaker 5: doesn't have those problems.

939
00:46:55,440 --> 00:46:56,040
Speaker 2: So just a.

940
00:46:56,080 --> 00:47:00,480
Speaker 5: Coherent statement that let them know they are are in

941
00:47:00,600 --> 00:47:02,280
Speaker 5: good hands with his.

942
00:47:02,600 --> 00:47:05,799
Speaker 2: Cryptom Sorry, sir, the question was is this your handwriting?

943
00:47:07,840 --> 00:47:10,040
Speaker 2: He said When he said, it's funny because the question

944
00:47:10,120 --> 00:47:12,480
Speaker 2: was why is it so important, he just goes, it's crypto,

945
00:47:12,840 --> 00:47:13,400
Speaker 2: it's a I.

946
00:47:14,400 --> 00:47:17,640
Speaker 5: What wait No, that's.

947
00:47:16,719 --> 00:47:19,760
Speaker 2: Actually the beginning of his response, why is this important?

948
00:47:20,120 --> 00:47:22,840
Speaker 5: Ai? Ai?

949
00:47:23,480 --> 00:47:23,560
Speaker 4: No?

950
00:47:23,640 --> 00:47:24,920
Speaker 5: Almost speaking of AI.

951
00:47:25,320 --> 00:47:27,480
Speaker 3: There was this really great, like I think Nate Silver

952
00:47:27,600 --> 00:47:31,279
Speaker 3: quote after the debate last week that was something of

953
00:47:31,280 --> 00:47:33,840
Speaker 3: the effect of, like the day after the debate, the

954
00:47:33,920 --> 00:47:37,000
Speaker 3: cost of the price of bitcoin went down, which tells

955
00:47:37,080 --> 00:47:39,360
Speaker 3: me that Trump probably lost the debate.

956
00:47:39,960 --> 00:47:41,239
Speaker 2: Right yeah, just.

957
00:47:41,200 --> 00:47:43,560
Speaker 3: Literally he's like said, he's like so in bed with

958
00:47:43,600 --> 00:47:45,839
Speaker 3: crypto right now that it's just like if he does

959
00:47:45,920 --> 00:47:49,200
Speaker 3: badly or says something dumb prices go down, right.

960
00:47:49,239 --> 00:47:51,360
Speaker 2: Yeah, it sounds like they're very sensitive. A lot of

961
00:47:51,400 --> 00:47:54,120
Speaker 2: the people that he was talking to another crypto Trump

962
00:47:54,160 --> 00:47:57,240
Speaker 2: fans are like, oh shit, what is he doing right.

963
00:47:57,120 --> 00:47:58,800
Speaker 3: Now with this whole thing. Yeah.

964
00:47:58,840 --> 00:48:03,000
Speaker 5: So it's so sketchy that even Trump supporters and crypto

965
00:48:03,080 --> 00:48:06,640
Speaker 5: guys have called it a quote huge mistake. That is

966
00:48:06,760 --> 00:48:11,000
Speaker 5: quote of the goodwill that's been built with the industry

967
00:48:11,080 --> 00:48:14,279
Speaker 5: so far. Okay, okay, okay, again, amazing that he's not

968
00:48:14,280 --> 00:48:16,200
Speaker 5: putting his name on the product, the first product I've

969
00:48:16,239 --> 00:48:19,000
Speaker 5: ever heard of him being like in any way affiliated

970
00:48:19,360 --> 00:48:19,839
Speaker 5: with that.

971
00:48:19,880 --> 00:48:23,480
Speaker 3: He didn't like this was a group effort, right, truly, truly,

972
00:48:23,640 --> 00:48:24,920
Speaker 3: it's a Trump Boys.

973
00:48:24,960 --> 00:48:25,920
Speaker 2: It's the Trump Boys.

974
00:48:25,960 --> 00:48:30,200
Speaker 5: Baby them Trump Boys there, godam Trump Boys, Donald Junior,

975
00:48:30,560 --> 00:48:37,640
Speaker 5: Eric Trump and introducing Baron Trump are all he they're

976
00:48:37,680 --> 00:48:40,560
Speaker 5: saying like he was the brain trust behind it or

977
00:48:40,840 --> 00:48:44,799
Speaker 5: it was like his idea. He's an actual teenager.

978
00:48:45,239 --> 00:48:47,839
Speaker 2: Yeah. I think he's been watching too much like red

979
00:48:47,920 --> 00:48:51,120
Speaker 2: pill YouTube videos that he's like, Dad, we gotta do crypto,

980
00:48:51,600 --> 00:48:56,120
Speaker 2: please please. He's like you you spoke to me. He's like, no,

981
00:48:58,840 --> 00:49:01,880
Speaker 2: let's make a crypto a trading platform for us.

982
00:49:02,600 --> 00:49:05,440
Speaker 5: This is a huge mistake. Nick Carter, a Trump supporter

983
00:49:05,520 --> 00:49:08,720
Speaker 5: and founding partner of the Crypto focus venture capital firm

984
00:49:09,000 --> 00:49:12,959
Speaker 5: Castle Island Ventures, told Politico it looks like Trump's inner

985
00:49:13,000 --> 00:49:16,160
Speaker 5: circle is just cashing in on his recent embrace of

986
00:49:16,200 --> 00:49:19,960
Speaker 5: crypto in a kind of naive way. Yeah.

987
00:49:20,200 --> 00:49:22,040
Speaker 3: Great, Yeah, it turns out.

988
00:49:22,360 --> 00:49:25,399
Speaker 5: And then so they've like been talking about this and

989
00:49:25,480 --> 00:49:29,440
Speaker 5: like kind of fumbling the rollout of it, and so

990
00:49:29,880 --> 00:49:32,719
Speaker 5: that has allowed scammers to kind of come in and

991
00:49:33,360 --> 00:49:37,120
Speaker 5: invade the platform before it's ready. And so it's just

992
00:49:37,640 --> 00:49:41,840
Speaker 5: rife with people scamming, Like Laura Trump and Tiffany Trump's

993
00:49:41,880 --> 00:49:43,360
Speaker 5: accounts have been targeted.

994
00:49:43,480 --> 00:49:46,920
Speaker 2: Yeah, and people are just making just fakeass accounts on Telegram,

995
00:49:46,960 --> 00:49:49,880
Speaker 2: acting like this is the official World Liberty Financial Telegram

996
00:49:49,960 --> 00:49:51,839
Speaker 2: channel or whatever, and they're just gonna fun.

997
00:49:52,200 --> 00:49:54,520
Speaker 5: Well, if you would just listen to the Trump brothers

998
00:49:54,520 --> 00:50:00,239
Speaker 5: who have warned their followers to quote avoid scams, I mean,

999
00:50:00,360 --> 00:50:03,680
Speaker 5: good advice in this large scam that we've.

1000
00:50:05,000 --> 00:50:07,200
Speaker 3: Like most scams, some scams are good.

1001
00:50:07,400 --> 00:50:08,280
Speaker 5: Not our scam.

1002
00:50:08,400 --> 00:50:10,840
Speaker 2: Don't avoid that one no, no, no embrace hours.

1003
00:50:10,880 --> 00:50:13,240
Speaker 3: The other's aid scams that don't give us money.

1004
00:50:13,360 --> 00:50:17,320
Speaker 5: Yeah, we we have two new characters. So they're working

1005
00:50:17,360 --> 00:50:21,080
Speaker 5: with two guys named Chase Harrow or a hero h

1006
00:50:21,360 --> 00:50:23,640
Speaker 5: R ro o. It's Jachery.

1007
00:50:23,840 --> 00:50:25,920
Speaker 2: I've seen his name spelled two ways because like this

1008
00:50:25,960 --> 00:50:29,280
Speaker 2: guy related to Tyler, but yeah, I've seen it spelled

1009
00:50:29,480 --> 00:50:31,920
Speaker 2: h e r O. And then some of the reporting

1010
00:50:32,000 --> 00:50:34,239
Speaker 2: had put the double R because maybe they're like heat

1011
00:50:34,280 --> 00:50:36,520
Speaker 2: fans and like they're just like heroes. Not a last name,

1012
00:50:36,520 --> 00:50:38,880
Speaker 2: I know, Harrow, but anyway.

1013
00:50:38,719 --> 00:50:41,840
Speaker 5: And then Chase Hero comes alone.

1014
00:50:42,320 --> 00:50:45,279
Speaker 3: I just love that. Chase Arrow offers a onety nine

1015
00:50:45,320 --> 00:50:47,640
Speaker 3: dollars a month get Rich Quick class. That's like a

1016
00:50:47,680 --> 00:50:49,280
Speaker 3: good deal for a get rich Quick class.

1017
00:50:49,280 --> 00:50:52,920
Speaker 5: I mean, like the amount you're gonna be making after this.

1018
00:50:53,000 --> 00:50:55,160
Speaker 3: Dude, you're gonna be gonna get rich.

1019
00:50:55,360 --> 00:50:58,320
Speaker 5: You're gonna be driving home from the last class in Lambeau,

1020
00:50:58,560 --> 00:51:02,960
Speaker 5: So why don't you stop naive? So he sold weed

1021
00:51:03,080 --> 00:51:07,600
Speaker 5: weight loss colon cleanses, uh, the aforementioned get Rich Quick class,

1022
00:51:08,000 --> 00:51:12,839
Speaker 5: and you can kind of see why Trump likes this guy.

1023
00:51:13,280 --> 00:51:15,720
Speaker 5: He claims to be a billionaire with a track record

1024
00:51:15,760 --> 00:51:19,359
Speaker 5: of crypto success while having been involved with just one

1025
00:51:19,480 --> 00:51:23,759
Speaker 5: crypto project called do Finance, which at least that's memorable.

1026
00:51:24,400 --> 00:51:28,360
Speaker 5: That attracted three point two million dollars in total activity

1027
00:51:28,400 --> 00:51:31,880
Speaker 5: and was immediately like just like taken down by massive

1028
00:51:31,920 --> 00:51:34,239
Speaker 5: scams that it got hacked.

1029
00:51:33,920 --> 00:51:37,440
Speaker 2: For about two million. Oh that project.

1030
00:51:37,680 --> 00:51:40,799
Speaker 3: Look that's still a one point two million dollar profit. Yeah, yeah,

1031
00:51:41,040 --> 00:51:41,680
Speaker 3: million losses.

1032
00:51:42,080 --> 00:51:44,640
Speaker 5: I'm sure it was hacked by him, Like, yeah, yeah,

1033
00:51:45,000 --> 00:51:47,239
Speaker 5: I don't know what happened. He's described himself as the

1034
00:51:47,280 --> 00:51:50,120
Speaker 5: dirt bag of the Internet and claimed that regulators should

1035
00:51:50,360 --> 00:51:57,880
Speaker 5: kick shit heads like me out. Great eighteen video about

1036
00:51:57,880 --> 00:52:01,120
Speaker 5: crypto he bragged that you can literally sell shit in

1037
00:52:01,160 --> 00:52:05,640
Speaker 5: a can, wrapped in piss covered in human skin for

1038
00:52:05,719 --> 00:52:08,759
Speaker 5: a billion dollars if the story's right, because people will

1039
00:52:08,760 --> 00:52:11,719
Speaker 5: buy it, which might be the best description of the

1040
00:52:11,719 --> 00:52:15,680
Speaker 5: crypto industry I've ever heard. He's very honest. It's wild

1041
00:52:15,880 --> 00:52:19,359
Speaker 5: that he is still involved in the crypto industry after

1042
00:52:19,520 --> 00:52:21,719
Speaker 5: being on the record saying that I wonder if he

1043
00:52:21,760 --> 00:52:23,960
Speaker 5: does this though too, to like avoid legal liability.

1044
00:52:23,960 --> 00:52:26,279
Speaker 2: How some scammers be Like, well, I said, I I

1045
00:52:26,400 --> 00:52:29,440
Speaker 2: tell people I'm a sac I said, I said, I'm

1046
00:52:29,719 --> 00:52:32,560
Speaker 2: the dirt bag of the Internet. I said regulators should

1047
00:52:32,640 --> 00:52:37,839
Speaker 2: kick shit heads like me out. Yea, so defense.

1048
00:52:38,120 --> 00:52:40,480
Speaker 5: The last quote that I read about that you can

1049
00:52:40,760 --> 00:52:44,440
Speaker 5: sell any bullshit shit in a cam wrapped in piss,

1050
00:52:44,520 --> 00:52:46,440
Speaker 5: covered in why, covered in human skin?

1051
00:52:46,640 --> 00:52:48,880
Speaker 3: I guess I'm curious about how would it be because

1052
00:52:48,880 --> 00:52:50,960
Speaker 3: you don't you can't wrap something in piss.

1053
00:52:51,239 --> 00:52:54,520
Speaker 5: Yeah, he's I don't think that it was that well

1054
00:52:54,600 --> 00:52:57,920
Speaker 5: thought through and to wit. He did say that in

1055
00:52:57,960 --> 00:53:02,080
Speaker 5: a video recorded as he drove in a rice. So right,

1056
00:53:02,960 --> 00:53:04,880
Speaker 5: he said, I'm not I'm not going to question the

1057
00:53:04,960 --> 00:53:08,719
Speaker 5: right and wrong on all that. The other guy, Frokman,

1058
00:53:09,040 --> 00:53:15,239
Speaker 5: registered Quote Date Hotter Girls, LLC, which is a website

1059
00:53:15,320 --> 00:53:19,279
Speaker 5: that's home to insightful articles such as fourteen reasons your

1060
00:53:19,360 --> 00:53:23,880
Speaker 5: shirt is cock blocking you and also five hobbies that

1061
00:53:23,960 --> 00:53:31,160
Speaker 5: get girls, including quote, music and sports. I just love that.

1062
00:53:31,200 --> 00:53:33,279
Speaker 3: This guy's like, if you were to come up with

1063
00:53:33,360 --> 00:53:37,560
Speaker 3: just like the perfect like stereotype of like two thousands

1064
00:53:37,719 --> 00:53:41,400
Speaker 3: hustle quote culture, bro, it's like this guy, you know,

1065
00:53:41,920 --> 00:53:42,720
Speaker 3: little dipshit.

1066
00:53:43,000 --> 00:53:43,360
Speaker 2: What it's like?

1067
00:53:43,400 --> 00:53:45,840
Speaker 3: What like I guess it's like Trump is. If Trump

1068
00:53:45,880 --> 00:53:50,279
Speaker 3: is the stereotype of sleazy nineteen eighties millionaire, this guy

1069
00:53:50,320 --> 00:53:54,000
Speaker 3: is the stereotype of like two thousand and eight sleezy millionaire.

1070
00:53:54,000 --> 00:53:55,640
Speaker 3: In a way that's like no kind of fun.

1071
00:53:55,960 --> 00:53:56,360
Speaker 5: What do you do?

1072
00:53:56,440 --> 00:53:58,560
Speaker 2: It's like I just like rather than like hawking my

1073
00:53:58,600 --> 00:54:00,799
Speaker 2: wares to like desperate people are trying to get out

1074
00:54:00,800 --> 00:54:03,239
Speaker 2: of poverty. I sell it to like men who have

1075
00:54:03,320 --> 00:54:07,160
Speaker 2: been on a wayward journey of like self actualization seeking companionship,

1076
00:54:07,280 --> 00:54:09,120
Speaker 2: and I just milk them for a lot. This one

1077
00:54:09,200 --> 00:54:12,400
Speaker 2: article three tips to dating women in your social circle,

1078
00:54:12,480 --> 00:54:16,160
Speaker 2: which is like a fucking red flag City are Right,

1079
00:54:16,840 --> 00:54:19,920
Speaker 2: says casual is key. Being casual and nonchalant is always

1080
00:54:19,960 --> 00:54:23,040
Speaker 2: important when trying to get hook up with girl. What

1081
00:54:23,120 --> 00:54:26,480
Speaker 2: with when trying to get hooked up with girl? Yo,

1082
00:54:27,400 --> 00:54:30,600
Speaker 2: AI wouldn't even do this shit. However, it is even

1083
00:54:30,600 --> 00:54:33,400
Speaker 2: more important when dealing with girls in your social circles too.

1084
00:54:33,680 --> 00:54:35,799
Speaker 2: Show don't tell when interacting with a woman you just

1085
00:54:35,840 --> 00:54:38,160
Speaker 2: met at a bar type Wait, is this your social circle?

1086
00:54:38,200 --> 00:54:39,680
Speaker 2: If it's someone you just met.

1087
00:54:39,960 --> 00:54:42,280
Speaker 3: Does this guy have friends? I'm not sure this guy's friends.

1088
00:54:42,960 --> 00:54:45,360
Speaker 5: Yeah, And then he has a number of interactions with

1089
00:54:45,440 --> 00:54:50,799
Speaker 5: people who he impresses with some various matrices that are

1090
00:54:51,280 --> 00:54:56,200
Speaker 5: have been deemed appealing, such as doing music and doing sports.

1091
00:54:57,320 --> 00:55:00,120
Speaker 3: Wow, I really want to google is fourteen reasons your

1092
00:55:00,200 --> 00:55:02,040
Speaker 3: shirt is cock blocking you lists?

1093
00:55:02,320 --> 00:55:06,200
Speaker 2: Yeah, I mean it's like one, it's not Dan flashes too,

1094
00:55:06,320 --> 00:55:08,880
Speaker 2: it's not Dan Flash. Three, it's not Look, it's just

1095
00:55:08,920 --> 00:55:10,040
Speaker 2: it's not Dan Flashes.

1096
00:55:10,320 --> 00:55:12,120
Speaker 3: Okay, I'm going to look at what is number? What

1097
00:55:12,200 --> 00:55:14,360
Speaker 3: is number six? I'm just gonna pick a random one.

1098
00:55:14,960 --> 00:55:18,799
Speaker 3: Tucking in a T shirt. Never, under any circumstances tuck

1099
00:55:18,880 --> 00:55:23,080
Speaker 3: your T shirt into your pants. Women do not want

1100
00:55:23,120 --> 00:55:25,200
Speaker 3: to date a ninety sitcom star.

1101
00:55:25,520 --> 00:55:28,160
Speaker 2: I don't know. People love Jeremy Allen White wearing a

1102
00:55:28,239 --> 00:55:30,719
Speaker 2: nice tucked in Calvin Klein T shirt right now, So

1103
00:55:30,880 --> 00:55:31,320
Speaker 2: I don't.

1104
00:55:31,120 --> 00:55:31,360
Speaker 5: I don't know.

1105
00:55:31,400 --> 00:55:32,239
Speaker 2: I don't know where you got that.

1106
00:55:32,200 --> 00:55:33,279
Speaker 5: One's working out for him.

1107
00:55:33,480 --> 00:55:36,160
Speaker 3: Number twelve too busy, keep it simple?

1108
00:55:36,440 --> 00:55:41,000
Speaker 5: Ah, no you need this guy doesn't understand Dan Flashes clearly.

1109
00:55:41,040 --> 00:55:42,319
Speaker 3: Yeah yeah yeah.

1110
00:55:42,520 --> 00:55:47,200
Speaker 5: Number four graphics. Wait what T shirt? Do they want

1111
00:55:47,239 --> 00:55:49,040
Speaker 5: you to wear? Just white T shirt?

1112
00:55:49,200 --> 00:55:51,719
Speaker 2: It says, okay if one one is too big, two

1113
00:55:51,840 --> 00:55:56,600
Speaker 2: too small, three wrong color, four graphics, five wrong setting, six,

1114
00:55:56,760 --> 00:56:00,560
Speaker 2: wrinkly seven tucking in a T shirt? Eight tucking in jeans?

1115
00:56:00,880 --> 00:56:03,000
Speaker 2: Does that that feels completely redundant?

1116
00:56:03,200 --> 00:56:06,160
Speaker 5: No, there they were just like the number fourteen is

1117
00:56:06,200 --> 00:56:08,800
Speaker 5: our target for the story.

1118
00:56:08,920 --> 00:56:14,480
Speaker 3: Number Number fourteen is just the word neck. Yeah you

1119
00:56:14,560 --> 00:56:16,920
Speaker 3: got a neck, say goodbye to sex.

1120
00:56:17,400 --> 00:56:22,320
Speaker 2: Holy shit. Then nine is just stains. Yeah sures.

1121
00:56:22,360 --> 00:56:26,400
Speaker 5: Wait what I'm not supposed to wear a stained T shirt?

1122
00:56:26,719 --> 00:56:29,919
Speaker 2: Sweat, mud, or mustard. A stained shirt isn't gonna get

1123
00:56:29,960 --> 00:56:33,360
Speaker 2: you laid. This tells her that your life's too chaotic

1124
00:56:33,480 --> 00:56:35,960
Speaker 2: to even take care of your clothing. Not not an

1125
00:56:35,960 --> 00:56:39,279
Speaker 2: attractive trait to display. Go buy a stain remover pin

1126
00:56:39,520 --> 00:56:41,840
Speaker 2: or throw the shirt out.

1127
00:56:41,480 --> 00:56:43,759
Speaker 3: My favorite part of this article is if you scroll

1128
00:56:43,760 --> 00:56:45,880
Speaker 3: on the bottom zero likes, zero comments.

1129
00:56:46,160 --> 00:56:49,360
Speaker 5: Yeah damn. It seems like these guys did their research.

1130
00:56:50,920 --> 00:56:54,439
Speaker 5: These are the things that make my T shirt cock

1131
00:56:54,520 --> 00:56:54,960
Speaker 5: block me.

1132
00:56:55,400 --> 00:56:57,560
Speaker 2: Yeah, yeah, oh yeah, Well Joey.

1133
00:56:57,560 --> 00:56:59,920
Speaker 5: Uh, it's been a pleasure having you on the day.

1134
00:57:00,040 --> 00:57:03,000
Speaker 5: These geist as always. Where can people find you and

1135
00:57:03,160 --> 00:57:04,279
Speaker 5: follow you? Yeah?

1136
00:57:04,360 --> 00:57:05,920
Speaker 3: Thanks so much for having me. This is so fun.

1137
00:57:06,320 --> 00:57:09,479
Speaker 3: You'll find me on Twitter and I Believe Blue Sky

1138
00:57:09,520 --> 00:57:13,000
Speaker 3: at Joey Tainment, and you'll find me on Instagram and

1139
00:57:13,120 --> 00:57:16,480
Speaker 3: threads at Joey Cliff with five or six eyes. And

1140
00:57:16,520 --> 00:57:18,240
Speaker 3: then something I wanted to talk about is kind of

1141
00:57:18,280 --> 00:57:20,120
Speaker 3: part of that things to check out. I'm a member

1142
00:57:20,160 --> 00:57:22,720
Speaker 3: of the Animation Guild. We're in the process of negotiating

1143
00:57:22,720 --> 00:57:25,920
Speaker 3: our next contract with the studios. And you know, it's

1144
00:57:25,960 --> 00:57:28,560
Speaker 3: like it's a fight. Like animation workers. We you know,

1145
00:57:28,560 --> 00:57:30,240
Speaker 3: make a ton of people a ton of money, and

1146
00:57:30,280 --> 00:57:31,960
Speaker 3: a lot of that doesn't really trickle down to us.

1147
00:57:32,600 --> 00:57:34,800
Speaker 3: And you know, we're just fighting for a fair deal

1148
00:57:34,920 --> 00:57:36,720
Speaker 3: that you know we deserve. So if you want to

1149
00:57:36,720 --> 00:57:39,240
Speaker 3: know more information about the plight of animation workers, I

1150
00:57:39,320 --> 00:57:43,400
Speaker 3: definitely suggest following the social media accounts Animation Workers Ignited

1151
00:57:43,880 --> 00:57:46,200
Speaker 3: as well as the Animation Guild for you know, updates

1152
00:57:46,200 --> 00:57:47,720
Speaker 3: and things you can do to kind of support our fight.

1153
00:57:47,760 --> 00:57:50,400
Speaker 3: And definitely use the hashtag stand with animation and no

1154
00:57:50,520 --> 00:57:52,920
Speaker 3: contract cartoons and you know, tweet about how much you

1155
00:57:52,920 --> 00:57:55,240
Speaker 3: love cartoons, how much you feel like people like me

1156
00:57:55,360 --> 00:57:57,360
Speaker 3: that make cartoons that you love deserve to make a

1157
00:57:57,360 --> 00:58:01,040
Speaker 3: fair wage. Absolutely, so I can afford a T shirt

1158
00:58:01,120 --> 00:58:02,680
Speaker 3: that doesn't cock block me.

1159
00:58:05,200 --> 00:58:08,040
Speaker 2: Haigarfield, but it will be our neck t shirts.

1160
00:58:09,880 --> 00:58:13,640
Speaker 5: Man, amazing. Is there a work of media that you've

1161
00:58:13,640 --> 00:58:14,240
Speaker 5: been enjoying?

1162
00:58:15,480 --> 00:58:19,000
Speaker 3: Honestly, so work in media. I'm just gonna talk about

1163
00:58:19,040 --> 00:58:21,760
Speaker 3: animation labor a bit more. There's this really great tweet

1164
00:58:21,960 --> 00:58:24,840
Speaker 3: that I believe's tweeted by the Animation Guild showing like it.

1165
00:58:25,000 --> 00:58:27,400
Speaker 3: Basically it says in twenty twenty four, there will be

1166
00:58:27,400 --> 00:58:30,360
Speaker 3: four hundred and thirty movies released. Seven point four percent

1167
00:58:30,400 --> 00:58:32,800
Speaker 3: of those movies are animated, but twenty five point one

1168
00:58:32,840 --> 00:58:36,200
Speaker 3: percent of those But those seven point four percent of

1169
00:58:36,240 --> 00:58:38,680
Speaker 3: movies make up twenty five point one percent of total

1170
00:58:38,720 --> 00:58:41,040
Speaker 3: box office gross. So you know, I think that like

1171
00:58:41,040 --> 00:58:42,160
Speaker 3: this is this is the kind of thing you can

1172
00:58:42,200 --> 00:58:44,360
Speaker 3: see on animation workers ignited in the animation guild is

1173
00:58:44,440 --> 00:58:47,280
Speaker 3: just like how how much money we make for these

1174
00:58:47,320 --> 00:58:51,959
Speaker 3: studios and how little they pay us in return? So yep,

1175
00:58:52,400 --> 00:58:56,520
Speaker 3: just a media media look at pro animation union labor stuff.

1176
00:58:56,600 --> 00:58:56,960
Speaker 5: Check that out.

1177
00:58:56,960 --> 00:58:59,040
Speaker 2: So there's like a word to describe like this will

1178
00:58:59,160 --> 00:59:01,280
Speaker 2: like fucked up thing that keeps happening to people that

1179
00:59:01,360 --> 00:59:05,120
Speaker 2: do jobs, Like, yeah, they're making a bunch of money

1180
00:59:05,160 --> 00:59:06,960
Speaker 2: for like other people and they don't get nothing of it.

1181
00:59:07,040 --> 00:59:10,120
Speaker 2: What's the state of like the negotiations? Like how how

1182
00:59:10,160 --> 00:59:11,800
Speaker 2: fucked up are the studios.

1183
00:59:11,360 --> 00:59:11,919
Speaker 3: Being right now?

1184
00:59:12,280 --> 00:59:12,680
Speaker 5: Yeah?

1185
00:59:12,720 --> 00:59:15,080
Speaker 3: So like you know, I guess that I like I

1186
00:59:15,080 --> 00:59:18,360
Speaker 3: can't go into like super specific details, but like give

1187
00:59:18,440 --> 00:59:22,920
Speaker 3: names yeah, but okay, names and addresses of CEOs here, Yeah, well,

1188
00:59:23,120 --> 00:59:25,240
Speaker 3: so one of the things that I think, and this

1189
00:59:25,320 --> 00:59:26,439
Speaker 3: kind of has to do with what we were talking

1190
00:59:26,440 --> 00:59:30,720
Speaker 3: about earlier about like AI. Jeff Katzenberg, who's the founder

1191
00:59:30,760 --> 00:59:34,320
Speaker 3: of DreamWorks, said in an interview last year that he's

1192
00:59:34,360 --> 00:59:37,680
Speaker 3: really excited about AI because with the use of AI,

1193
00:59:38,280 --> 00:59:41,960
Speaker 3: animated films and TV shows will be ninety percent faster

1194
00:59:42,160 --> 00:59:45,040
Speaker 3: and more efficient to make, which to me says that

1195
00:59:45,120 --> 00:59:48,040
Speaker 3: you're going to erase ninety percent of jobs that people

1196
00:59:48,040 --> 00:59:50,080
Speaker 3: in animation work, and like you're going to use our

1197
00:59:50,200 --> 00:59:53,400
Speaker 3: art to train that AI to replace us. So like,

1198
00:59:54,040 --> 00:59:56,400
Speaker 3: you know, something that we're really you know, I think

1199
00:59:56,400 --> 00:59:58,880
Speaker 3: that our membership is very passionate about is like getting

1200
00:59:58,880 --> 01:00:02,760
Speaker 3: strong AI protection because like you know, it's like if

1201
01:00:02,800 --> 01:00:05,520
Speaker 3: the studios had their way one like AI is like

1202
01:00:05,560 --> 01:00:07,960
Speaker 3: half cooked and not ready to like make good stuff.

1203
01:00:08,080 --> 01:00:12,240
Speaker 3: So basically like the nightmare future that we could have

1204
01:00:12,520 --> 01:00:14,960
Speaker 3: is like, you know, they just ask us to do

1205
01:00:15,000 --> 01:00:17,600
Speaker 3: punch ups on like AI written scripts and pay us

1206
01:00:17,640 --> 01:00:19,400
Speaker 3: a fraction of the time to do it. And the

1207
01:00:19,400 --> 01:00:21,920
Speaker 3: ascripts are bad because a I wrote it, not a human,

1208
01:00:22,000 --> 01:00:24,000
Speaker 3: you know. So it's like so yeah, it's it is

1209
01:00:24,080 --> 01:00:26,200
Speaker 3: just it's it is a big fight that we're going

1210
01:00:26,200 --> 01:00:27,840
Speaker 3: through right now, and this really feels like it's like

1211
01:00:27,880 --> 01:00:31,360
Speaker 3: a generational like you know, a generational fight that's like

1212
01:00:31,440 --> 01:00:34,040
Speaker 3: going to dictate the future of if animation is something

1213
01:00:34,080 --> 01:00:37,040
Speaker 3: that you can do as a career. And you know,

1214
01:00:37,080 --> 01:00:39,000
Speaker 3: but I do think that something that's really cool to

1215
01:00:39,000 --> 01:00:41,360
Speaker 3: see is like we're so engaged as a membership right now.

1216
01:00:41,440 --> 01:00:43,920
Speaker 3: We had like twenty five hundred people show up to

1217
01:00:43,960 --> 01:00:45,960
Speaker 3: a parking lot in Burbank last month to like an

1218
01:00:45,960 --> 01:00:48,120
Speaker 3: animation rally that we put on. Like there's a lot

1219
01:00:48,120 --> 01:00:50,400
Speaker 3: of like I think that we've we've been like pro

1220
01:00:50,480 --> 01:00:53,800
Speaker 3: animation worker hashtags have been like the number one hashtags

1221
01:00:53,800 --> 01:00:56,440
Speaker 3: on Twitter multiple times over the past like you know,

1222
01:00:56,440 --> 01:00:58,640
Speaker 3: a couple of months. So it's like I think we're

1223
01:00:58,960 --> 01:01:00,480
Speaker 3: we're in it for the long haul, run it for

1224
01:01:00,480 --> 01:01:03,520
Speaker 3: the fight. But you know, it's as all negotiations go,

1225
01:01:03,640 --> 01:01:06,440
Speaker 3: it's like it's yeah, you know, it's like it's just

1226
01:01:06,600 --> 01:01:09,439
Speaker 3: it's a push and pull, and but it does feel

1227
01:01:09,480 --> 01:01:11,760
Speaker 3: like if we don't get a good deal, we won't

1228
01:01:11,760 --> 01:01:13,360
Speaker 3: be able to do this as a career anymore. You know.

1229
01:01:13,480 --> 01:01:15,960
Speaker 5: Yeah, right, so it will be bad for you the

1230
01:01:16,040 --> 01:01:20,120
Speaker 5: viewer if you're not an animator, but you just enjoy animation.

1231
01:01:20,480 --> 01:01:22,720
Speaker 3: Yeah, it's like we'll want to watch like slop if

1232
01:01:22,760 --> 01:01:25,480
Speaker 3: you want to watch like slop made by AI, like

1233
01:01:25,640 --> 01:01:27,720
Speaker 3: by all means, But if you want like actual good

1234
01:01:27,720 --> 01:01:30,520
Speaker 3: shows that your fans have made by humans, like support

1235
01:01:30,600 --> 01:01:31,880
Speaker 3: us in our fight, you know right?

1236
01:01:32,000 --> 01:01:34,800
Speaker 5: Yeah? Do it? Miles? Where can people find you as

1237
01:01:34,840 --> 01:01:37,680
Speaker 5: their work and media you've been enjoying? Find me at

1238
01:01:37,720 --> 01:01:40,280
Speaker 5: Miles of Gray on Twitter and Instagram. Hell, even on

1239
01:01:40,360 --> 01:01:44,040
Speaker 5: PlayStation Network where I'm actually really liking Star Wars Outlaws

1240
01:01:44,120 --> 01:01:46,040
Speaker 5: despite what all the haters say.

1241
01:01:47,080 --> 01:01:50,320
Speaker 2: What else? Fine Jacket on the basketball podcast man Jack

1242
01:01:50,360 --> 01:01:53,160
Speaker 2: on Mans. Find me on the ninety Day Fiance podcast

1243
01:01:53,240 --> 01:01:56,919
Speaker 2: for twenty Day Fiance. Some tweets I like. First one

1244
01:01:57,200 --> 01:02:01,080
Speaker 2: is pretty wild. It's from at Abby o Selsey. It's

1245
01:02:01,120 --> 01:02:04,280
Speaker 2: a photo She's at an airport bar and it says

1246
01:02:04,360 --> 01:02:07,360
Speaker 2: I'm sitting next to a Lincoln impersonator at the bar.

1247
01:02:07,760 --> 01:02:12,080
Speaker 2: He's watching MSNBC reporting on yesterday's assassination attempt. This is

1248
01:02:12,160 --> 01:02:15,440
Speaker 2: easily the most surreal thing I've ever witnessed. This dude

1249
01:02:15,600 --> 01:02:18,320
Speaker 2: is truly an Abraham Lincoln looking motherfucker.

1250
01:02:18,680 --> 01:02:21,880
Speaker 5: Lincoln free on the right.

1251
01:02:23,000 --> 01:02:25,960
Speaker 3: The look on his face is did I cause this?

1252
01:02:26,080 --> 01:02:26,360
Speaker 5: Yeah?

1253
01:02:26,720 --> 01:02:29,920
Speaker 2: He was like almost like, am I in danger? Like

1254
01:02:29,960 --> 01:02:34,320
Speaker 2: it's really I totally one. I agree, that is very surreal.

1255
01:02:34,360 --> 01:02:36,440
Speaker 2: And then the next one, Uh, it's a it's a

1256
01:02:36,520 --> 01:02:39,080
Speaker 2: quote tweet from the state of New Jersey. First person

1257
01:02:39,200 --> 01:02:43,320
Speaker 2: asked at sork Ince tweeted, I respect that Virginia is

1258
01:02:43,320 --> 01:02:45,240
Speaker 2: for lovers, but we need a state for haters. And

1259
01:02:45,280 --> 01:02:52,040
Speaker 2: then New Jersey said, you called out New Jersey. Uh tweet.

1260
01:02:52,040 --> 01:02:56,040
Speaker 5: I've been enjoying disgraced congressman at M three three three

1261
01:02:56,120 --> 01:03:00,320
Speaker 5: three three G four n the sequel to again.

1262
01:03:00,360 --> 01:03:01,560
Speaker 2: I guess ah.

1263
01:03:01,640 --> 01:03:03,600
Speaker 5: When I watch Emily in Paris, I feel like a

1264
01:03:03,640 --> 01:03:06,000
Speaker 5: dog whose owner left the TV on for them while

1265
01:03:06,000 --> 01:03:10,920
Speaker 5: they go run errands. I think that is the experience.

1266
01:03:11,880 --> 01:03:14,000
Speaker 5: You can find me on Twitter at Jack Underscore o Brian.

1267
01:03:14,040 --> 01:03:16,280
Speaker 5: You can find us on Twitter at daily Zeitgeist. We're

1268
01:03:16,320 --> 01:03:18,920
Speaker 5: at v Daily Zeikeeist on Instagram. We have a Facebook

1269
01:03:18,960 --> 01:03:21,880
Speaker 5: fan page and a website Daily zeikeist dot com, where

1270
01:03:21,880 --> 01:03:25,600
Speaker 5: we post our episodes and our foot Nope. We link

1271
01:03:25,680 --> 01:03:28,000
Speaker 5: off to the information that we talked about in today's episode,

1272
01:03:28,040 --> 01:03:30,160
Speaker 5: as well as a song that we think you might enjoy.

1273
01:03:31,080 --> 01:03:33,360
Speaker 5: Miles what song do we think people might enjoy?

1274
01:03:33,960 --> 01:03:38,920
Speaker 2: Really dope band, just really just real groovy, funky band,

1275
01:03:39,360 --> 01:03:42,440
Speaker 2: the South Hill Experiment with a track called Little Monk

1276
01:03:42,680 --> 01:03:46,880
Speaker 2: featuring one of my favorite up drummers, Kareem Riggins. Uh,

1277
01:03:47,120 --> 01:03:50,080
Speaker 2: this is just a nice head bopper, chin to chest

1278
01:03:50,240 --> 01:03:52,720
Speaker 2: neck bouncer, you know what I mean. So check this

1279
01:03:52,760 --> 01:03:57,280
Speaker 2: one out Little Monk Featuringam Riggins by the South Hill Experiment.

1280
01:03:57,600 --> 01:03:59,440
Speaker 5: All right, we will link off to that in the

1281
01:03:59,480 --> 01:04:02,640
Speaker 5: foot note. Todaily Zeikest is the production of iHeartRadio. For

1282
01:04:02,680 --> 01:04:05,960
Speaker 5: more podcasts from iHeartRadio, visit the iHeartRadio app, Apple podcast,

1283
01:04:06,040 --> 01:04:07,720
Speaker 5: or wherever you listen to your favorite shows. That is

1284
01:04:07,760 --> 01:04:10,080
Speaker 5: going to do it for us this morning, back this

1285
01:04:10,160 --> 01:04:12,800
Speaker 5: afternoon to tell you what is trending, and we will

1286
01:04:12,840 --> 01:04:13,480
Speaker 5: talk to you all then.

1287
01:04:13,680 --> 01:04:17,800
Speaker 2: Bye bye bye