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Speaker 1: Hello the Internet, and welcome to season one or seven,

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Speaker 1: episode three of Dirt Daily's eight Guys production of I

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

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Speaker 1: deep dive into America, share consciousness, and say officially off

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Speaker 1: the top buck Coke Industries, as in The Cooke Brothers

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Speaker 1: and fuck Fox News. It's Wednesday, November six, two thousand nine. Team,

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Speaker 1: my name is Jack O'Brien a K. Come O'Brien, Come,

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Speaker 1: come O'Brien. You're a butterfly. Yeah go Brian. Uh. That's

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Speaker 1: courtesy of Trick Gang, and I'm chose to be joined

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Speaker 1: as old by my co host, Mr Miles Miles Gray

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Speaker 1: aka the Dabor door Retriever a K A chill wah

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Speaker 1: Wah aka doo Berman pincher, a K English fat spliff,

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Speaker 1: a ka bought wiler, a K chiba in a K

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Speaker 1: A border wally ak cavalier King Miles Spaniel, a K

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Speaker 1: sat Bangnard a K old English sheeple dog, a K

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Speaker 1: A bull Matt spliff boom. That is a three hander.

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Speaker 1: I see what you did, Christie Meme, Dona Chris Yamabuji

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Speaker 1: Main came with the dog a kys then mostly mutes

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Speaker 1: art came in with Chiba Knew and then while who's

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Speaker 1: that oh water Chestnut? The third, the second junior, came

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Speaker 1: through to finish it off. It's a three man. I

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Speaker 1: had uper cavalier King Charles named Miles. So did that

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Speaker 1: one was? Is that the one that we made fun of? Uh?

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Speaker 1: The one who had anything problems? No? No, that's fin

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Speaker 1: No one, the one kept parting. Oh that was Finn. Yeah,

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Speaker 1: who was the one I remember one time, the one

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Speaker 1: that passed away? When that passed away, like at it's

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Speaker 1: ten months. Oh yeah, Miles, No, that was the Mma.

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Speaker 1: That was another cavalier. Yeah, that was another. We killed

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Speaker 1: them on the regular. Wow, it's like Paris Hill can

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Speaker 1: not keep these things a lot. Yeah yeah. I also

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Speaker 1: I wanted to mention joke that was made yesterday that

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Speaker 1: was saying Pete Budge was a sexual we that we

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Speaker 1: should have caught that. We're not. We're not making fun

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Speaker 1: of anything. No, no, no, And yeah, I hate to

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Speaker 1: take a look. You already know the vibe of the show.

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Speaker 1: We're trying to be as inclusive as possible, but some times, okay, yes,

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Speaker 1: we're working on ourselves and we're thrilled to be joined

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Speaker 1: in our third seat by the legendary Daily's like guist,

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Speaker 1: guest and hilarious comedian Mr. Guy Montgomery. Yeah here I

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Speaker 1: am he welcome back. Thanks for having me back. Gentlemen,

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Speaker 1: We're so happy to have you. For those of you

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Speaker 1: who are new listeners. Uh, Guy Montgomery gave us by

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Speaker 1: far what we consider in the office is here the

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Speaker 1: greatest myth that we've ever had on the show. And

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Speaker 1: I'll just leave that at that. If you don't know,

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Speaker 1: look back at guys first episode because it's a doozy Uh. Well, guy,

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

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

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Speaker 1: few of the things we're talking about. We're talking about

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Speaker 1: the TV event of the decade maybe uh previewing it.

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Speaker 1: We're gonna look at the fact that somebody died over

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Speaker 1: a Popeye's chicken sandwich, which is not okay. We're gonna

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Speaker 1: talk about how the Arens is playing dirty, how Marie

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Speaker 1: Ivanovitch was being like very lightly threatened, soft touched. Yeah,

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Speaker 1: just a peppering of threats to her life. Uh, Rudy's

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Speaker 1: friend maybe about to flip. He was not happy when

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Speaker 1: the President was like, I don't know him. He was like,

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Speaker 1: what don't Mariah carry these people? Exactly? I don't know her.

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Speaker 1: We're gonna look at poles, We're gonna look at the

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Speaker 1: Amazon Echo, Google Home being hackable. We'll tell you how

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Speaker 1: to hack your neighbors Amazon Echo right after the break.

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Speaker 1: But first, guy, we like to task our guests. What

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Speaker 1: is something from your search history that's revealing about who

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Speaker 1: you are? I was recently looking up eggs our, eggs

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Speaker 1: bad Yeah to eat? Yeah, like in general, just as

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Speaker 1: part of your diet, is that. I just feel like

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Speaker 1: everyone's constantly flip flopping on eggs. Yeah. Do you feel

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Speaker 1: like that? Yeah? Well, at first, I feel like it's

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Speaker 1: the most I don't know if I've ever heard, it's

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Speaker 1: the most complete pro No what am I saying? People

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Speaker 1: just said part of a bounce breakfast and way too

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Speaker 1: much cholesterol. Yeah, and then I don't know where. Yeah,

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Speaker 1: everyone saying eggs are great, they they're good, They've got

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Speaker 1: good cholesterol, and they'll reduce you know, your your risk

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Speaker 1: of heart disease. And in the next day someone says,

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Speaker 1: you gonna watch out for those eggs. Yeah, right, So

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Speaker 1: what is the what is what's been the judgment for

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Speaker 1: the most recent judgment. The most recent judgment was it

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Speaker 1: was an article masquerading as having an opinion that was

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Speaker 1: just a very long winded piece of diplomacy. It was

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Speaker 1: someone saying, why not trying thinking about foods instead of

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Speaker 1: as good and bad as maybe just foods and eating

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Speaker 1: everything in moderation, look at eggs as part of a

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Speaker 1: healthy bellance thought like that is generally the truth about

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Speaker 1: most foods though, is that it's like weak, we don't know.

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Speaker 1: Like with some people it works with other people, like

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Speaker 1: it doesn't work. It's very complicated. There's all these chemicals

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Speaker 1: and our body is like, we just don't know, we

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Speaker 1: just don't know. But for how prominent they are, and

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Speaker 1: you know, and a lot of diets, yeah, you'd think

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Speaker 1: that there'd be a hardline sort of. This is the

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Speaker 1: take on eggs. Now, the whites have always been popular

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Speaker 1: with everyone, right, the egg whites. It's just the yolks

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Speaker 1: that kind of go in and out exactly, But I

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Speaker 1: love Yeah, you need the yolks too. That's where that's

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Speaker 1: where the good stuff is, that cholesterol there, right, Yeah,

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Speaker 1: that's when you can't have a deviled egg without the yolks.

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Speaker 1: You know, deviled egg is truly one of the most

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Speaker 1: blessed food forms. I believe that God has bestowed upon

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Speaker 1: us and be a devil and egg. Just take all

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Speaker 1: the yolks out and then mix it up with you know,

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Speaker 1: people use relish or mayonnaise, mustard, it all depends. Everyone's

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Speaker 1: got different. And then you put it in a pan. No,

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Speaker 1: then you pipe, then you have you have you never

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Speaker 1: had a heart? Have you never had a deviled egg?

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Speaker 1: I've had a hard boiled egg. Okay, So what you

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Speaker 1: do is you take a hard boiled egg, you put

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Speaker 1: it in half, and then you have your two halves.

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Speaker 1: You take the yolk out that you put the yolks

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Speaker 1: in another bowl and you mix them separately, and then

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Speaker 1: you have a bunch of halved egg whites that have

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Speaker 1: been boiled. And then you pipette the mixture, the yolk

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Speaker 1: mixture back into the already made eggs form. It's delicious.

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Speaker 1: And then do you put the egg bag to get

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Speaker 1: it so it's like it's they sit open faced, yeah,

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Speaker 1: with like a little like curly queue of when you

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Speaker 1: just put on the eggs because it's because delicacy. When

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Speaker 1: do you think that started like fifties parts. Everyone look

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Speaker 1: at what I did, because I'm sure, I mean, but

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Speaker 1: I guess there is some fun in it, right, because

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Speaker 1: the yolk isn't hard and it's almost like a like

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Speaker 1: a whipped Yeah. But at the end of the day,

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Speaker 1: I'm sure if you just took all the ingredients in

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Speaker 1: a bowl and just fucking pulverized it. Yeah, just drink

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Speaker 1: your milk. You drink your egg milk, chick. Yeah. Yeah,

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Speaker 1: I'd love to see the people high end parties in

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Speaker 1: the forties up in the egg shape a little egg.

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Speaker 1: Well anyway that the jury is still out on eggs? Yea,

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Speaker 1: How do you feel personally? I love them? Yeah, you

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Speaker 1: believe I have one this morning? Just one, yeah, one

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Speaker 1: inside of a sandwich, alongside a moderate number of other ingredients. Fantastic,

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Speaker 1: It's what I'm looking so damn good. Yeah, you're glowing.

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Speaker 1: It's that one egg a day. What is something you

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Speaker 1: think is underrated? Um? Watching movies on planes. I love

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Speaker 1: watching movies on planes. And whenever I tell people I

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Speaker 1: watched the movie on the plane, they go, well, and

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Speaker 1: that little screen, right, yeah, that's the screen they give

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Speaker 1: you on the plane. But I just think it's it's

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Speaker 1: a it's a great it's a great viewing environment because

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Speaker 1: you know, it's one of the few places we are

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Speaker 1: totally untethered from the from the real world, so there's

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Speaker 1: no opportunity for distraction. It's either that or your thoughts.

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Speaker 1: What's going to win out because not though I watched

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Speaker 1: Jupiter Rising, I watched Parasite on the flight over here

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Speaker 1: from New Zealand had already yeah, yeah, I was on

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Speaker 1: the plane and I was like, Holy, this is because

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Speaker 1: everyone I've been talking about I wanted to see it,

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Speaker 1: so you know, he's a pivot opportunity. And I was

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Speaker 1: so pleased. And I told my friend I'm staying with

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Speaker 1: and she said, why would you watch it on the plane?

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Speaker 1: Because it was on the opportunity. The movie was on

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Speaker 1: the plane. So we've talked about the other side of this,

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Speaker 1: where we sort of the side with the directors and

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Speaker 1: the cinephiles, where there's the Netflix watching movies at like

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Speaker 1: one point five speed. That's bullshit. Don't don't do that.

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Speaker 1: But also like people who are like you must see

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Speaker 1: it on a full screen, like it's glory as it

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Speaker 1: was intended, I don't unless it was shot in like

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Speaker 1: large format, and I get that, but it doesn't I

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Speaker 1: don't think it necessarily. If you're only relying on the

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Speaker 1: fact that you shot it in large format, then your

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Speaker 1: movies laughing a little bit, But you know, as I

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Speaker 1: think it's it's like so much in life, it's not binary.

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Speaker 1: If you tell people, do you watch movies on the plane? What?

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Speaker 1: What about screened movie screens? I can still it's like

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Speaker 1: having a kindle or something. And I was like, well,

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Speaker 1: I just could never read on a kindle. I love

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Speaker 1: the feel of a book. No one is stopping you

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Speaker 1: from buying a book. It's not one or the other.

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Speaker 1: And at the end of the day, if we've both

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Speaker 1: read the book, maybe me on the kindle and you

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Speaker 1: in the paperback version, we will still have the exact

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Speaker 1: same conversation, and I will I will have the best takes.

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Speaker 1: Anybody will praise. I think he read the kindle first, right,

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Speaker 1: you can just kind of tell yeah, But I love that.

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Speaker 1: Like on airplanes, though, it feels like the perfect time

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Speaker 1: to get a lot of just cram movies in that

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Speaker 1: you normally wouldn't have time about blessing, and you're I

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Speaker 1: think you're more emotionally invested, Like I find I laugh

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Speaker 1: harder or I'm more susuitable to cry movies on the plane.

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Speaker 1: I think something to do with the altitude. Everything is tightened. Yeah,

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Speaker 1: I remember I got off a plane. I thought, what's

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Speaker 1: the what's it called? Why Him? The Brian Prestons Franco vehicle. Yeah,

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Speaker 1: it's like this is the greatest movie of all time?

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Speaker 1: And I was I was shouted down for that type. Yeah,

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Speaker 1: well it happens. You know. I think the bar is

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Speaker 1: lower and I've never you know, it's funny. A lot

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Speaker 1: of times I'll start something on Netflix and like this

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Speaker 1: is trash. I can't watch this anymore. Never done it

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Speaker 1: on airplane. Yeah, I'll sit all the way through. Absolutely.

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Speaker 1: Maybe the boy car will get with the girl car

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Speaker 1: reference there. Yeah. Have you been able to unsee uh like,

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Speaker 1: your experience with Why Him? Or is it still like

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Speaker 1: one of your five favorite movies. I would never watch

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Speaker 1: it again. I don't think the movie independent of that

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Speaker 1: viewing experience, holds up to scrutiny. I was gonna say,

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Speaker 1: you actually kind of have to see it on a

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Speaker 1: full screen. A lot of the Franco's performance. What is

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Speaker 1: something you think is overrated? Well, it's in the same

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Speaker 1: it's in the same bracket. But WiFi on planes, get

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Speaker 1: it out of there, Get it out of there out.

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Speaker 1: No one's that busy, no one's got that match on

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Speaker 1: who freaking cares take however long the flight is to yourself.

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Speaker 1: I hate it, and people who say, well, just don't

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Speaker 1: use it, obviously are projecting the idea that I have

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Speaker 1: the self control not to use free WiFi onto me.

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Speaker 1: I just I just don't think it's necessary. I'm sure

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Speaker 1: that they're you know, I'm sure. I'm sure that people

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Speaker 1: who would Yeah, sure, it makes sense if you have

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Speaker 1: something going on urgent, But we were surviving before plain

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Speaker 1: WiFi split it into like smoking sections and non you know,

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Speaker 1: WiFi and non WiFi or even entirely independent flights. If

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Speaker 1: your life is so busy, you need to go WiFi,

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Speaker 1: and when you get on a wifili, that's right, but

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Speaker 1: don't don't. I don't want to see people on their

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Speaker 1: laptop sending emails when I'm trying to enjoy hy Him

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Speaker 1: drives me nuts. The thing I don't like is when

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Speaker 1: you start people doing Instagram and Snapchat stories like in

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Speaker 1: the right and I'm like, the thing that bothers. Me

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Speaker 1: is people. There's always a lot of people with spreadsheets open.

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Speaker 1: I'm just like, how the fuck are you like getting

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Speaker 1: that type of work done on a plane? It's always

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Speaker 1: it's maybe anything to do with him, that's always a

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Speaker 1: personal attack on you. Yeah, no, I asked that. Yeah, yeah,

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Speaker 1: like full spreadsheet. I got like seventeen cells on work.

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Speaker 1: I just think planes are pretty much all you know,

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Speaker 1: it's one of the few sharped spaces we have lived.

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Speaker 1: And uh, I don't know. I don't want them to

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Speaker 1: take it away just yet. What would you tell someone

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Speaker 1: who's who Let's let's let me let me play the

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Speaker 1: role of someone who says, but guy, I'm a high

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Speaker 1: powered dot dot dot I need to send emails man

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Speaker 1: or dot x um. What what do you say to me?

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Speaker 1: I could be losing valuable work time up here with

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Speaker 1: thanks to taking the time to talk to me. Yes,

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Speaker 1: I don't really I don't really care about your situations. Okay, problem,

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Speaker 1: I just to me this, Do you have any spare change?

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Speaker 1: I got puckets from the coins right now. One thing,

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Speaker 1: one Devil's advocate there would be Delta is now editing

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Speaker 1: their movies, so uh that what what was the movie

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Speaker 1: directed by Olivia Wilde, this book smart, Book Smart. They

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Speaker 1: edited out like a same sex love scene and the

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Speaker 1: word lesbian from that movie Delta. So that's one thing

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Speaker 1: that that's what it gets weird to beam your propaganda

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Speaker 1: into my brain. If you don't have WiFi, that's crazy. Yeah,

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Speaker 1: because I watched Escape from Dana Mora on the plane

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Speaker 1: and they left all that rosy ship in there. Yeah,

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Speaker 1: and I look like a really unlike a perverted guy

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Speaker 1: on the passenger to due next to me. I'm watching

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Speaker 1: a scene where like whis her name was a Britrici

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Speaker 1: Arquette is just having fucking jail sex with Paul Dano

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Speaker 1: and ship, and the guy next to me was like,

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Speaker 1: is this like it looked like. I was just like, bro,

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Speaker 1: it's a show man. Shouldn't turned and been like, don't

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Speaker 1: tell any body. Yeah, but that would have that would

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Speaker 1: only make things worse if you haven't seen that. That's

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Speaker 1: a moment from Benicio del Toro's performance that is just

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Speaker 1: go google it. I've seen it. I just deliberately acted

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Speaker 1: like I haven't seen it to spare us embarrassment. What

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Speaker 1: is a myth? What's something people think it's true? You

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Speaker 1: know to be false. Well, now, I don't know if

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Speaker 1: you boys have heard this, but there was once a

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Speaker 1: nymph who lived in the woods named Eko. And Eiko

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Speaker 1: was a delightful and she loved to Netta. She was

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Speaker 1: always nettering away. Do you have the word netta? Here?

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Speaker 1: It's like it's like chatter chatter. And one day she

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Speaker 1: was just nettering away and here do you know who?

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Speaker 1: Here is hera h e r A, a queen of

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Speaker 1: the God's wife of Zeus. She was out on the

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Speaker 1: hunt for Zeus in the woods, I believe other self. Yeah, yeah,

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Speaker 1: this all seems to be above board. And she comes

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Speaker 1: across Echo and she says, Echo, have you seen Zeus?

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Speaker 1: And echoes so just so obsessed with naturing as echoes

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Speaker 1: you go and keeps interrupting here and here. It becomes

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Speaker 1: very frustrated and says Echo, I'm really trying to have

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Speaker 1: a conversation with you here, and Echo keeps naturing away.

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Speaker 1: It's so good to see you. Here are you looking delightful?

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Speaker 1: And Here says this is really the bloody final straw

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Speaker 1: for me. As punishment, I curse you. You can no

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Speaker 1: longer speak, you know your own mind freely you have

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Speaker 1: to you you're a life damned to eternity for just

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Speaker 1: parenting back, repeating what has said twur around you. And

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Speaker 1: Echo was obviously devastated by this and took a long

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Speaker 1: walk in the woods. So demoralized was she, but thankfully well.

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Speaker 1: She was walking the woods, she saw it handsome man

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Speaker 1: her Narcissus, and he was taking a stroll. This guy

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Speaker 1: was he was handsome and he was taking a stroll along.

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Speaker 1: And Echo wanted to say something, but couldn't say anything

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Speaker 1: because you know, she can only repeat what I said

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Speaker 1: about her. And she followed Narcissus, who found a body

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Speaker 1: of water, and he looked into the body of water

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Speaker 1: and he saw a reflection of the most beautiful damn

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Speaker 1: face you'd ever seen. And he was looking at it

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Speaker 1: and he said, I love you, and Echo, from her

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Speaker 1: hiding place, repeated back to Narcissus, I love you. And

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Speaker 1: Narcissus was like, oh my god, this beautiful face loves

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Speaker 1: me and and said I wish I could. You know.

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Speaker 1: It sort of starts falling in love with the face

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Speaker 1: and eventually plunges into the body of water and drowns.

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Speaker 1: And Echo was so heartbroken by this turn of events.

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Speaker 1: She stopped eating, she stopped drinking, and eventually she she

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Speaker 1: withered away until only her voice was left. Anyway, Well,

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Speaker 1: the whole time I thought that echoes are caused by

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Speaker 1: reflection off a relatively even sift. It shows you what

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Speaker 1: I know. So you're correcting that echoes are caused reflections

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Speaker 1: off of a Yeah, that's what I've actually seen that documentary.

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Speaker 1: The more you know, Yeah, indeed, talking about echo the dolphins. Yeah,

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Speaker 1: that is Uh. I didn't realize all those myths were

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Speaker 1: so closely tied together, while all those all those stories,

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Speaker 1: all those true stories were so closely tied together. Uh,

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Speaker 1: I kind of get my head in. Can I ask

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Speaker 1: a question? Yeah, can we please talk about the dang news?

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Speaker 1: I think we need that as a drop when we

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Speaker 1: start start the episode every day, fire up the news machine. Uh, well,

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Speaker 1: we have to talk about what is shaping up to

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Speaker 1: be the television event of two thousand nineteen. Maybe uh

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Speaker 1: it is uh dr Phil uh talking to well you

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Speaker 1: we've covered the story before. Well, we'll just play the

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Speaker 1: well for a guy. I don't know if you remember

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Speaker 1: or heard. There was a Ukrainian orphan who was adopted

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Speaker 1: by a family and this family claimed that she was

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Speaker 1: actually at the time much older, wasn't actually an adult

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Speaker 1: posing as a child, and was trying to kill them

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Speaker 1: in their sleep, killing their kids in their sleep, poison

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Speaker 1: their coffee, had like a very advanced vocabulary, like did

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Speaker 1: not want to play with other kids, and they're like,

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Speaker 1: this child is actually a schemer who's trying to kill

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Speaker 1: my whole family. They then abandoned this child, or they said,

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Speaker 1: because this child is an adult, we actually don't have

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Speaker 1: to look after this child anymore. So we're moving to

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Speaker 1: Canada and putting that, putting this putting a six year

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Speaker 1: old up in their own apartment for the time being.

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Speaker 1: Now there's a lot of the reports, you know, there's

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Speaker 1: all kinds of things that say, you know, is she

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Speaker 1: actually twenty two and not this child as she pretends why,

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Speaker 1: you know, they said that she was having her period

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Speaker 1: or had pubic hair and these other things that they

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Speaker 1: were saying, we don't buy that this is a child.

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Speaker 1: So after a lot of searching, obviously the Daily Mail

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Speaker 1: was on top of this, as they normally dug it up.

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Speaker 1: Uh And now Dr Phil has secured a sit down

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Speaker 1: interview with her and her and her new adopted family,

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00:19:22,760 --> 00:19:26,880
Speaker 1: and the teaser for it. I'm I'm I'm beyond show

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Speaker 1: clear your schedules. Yeah, because Dr Phil handles this with

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Speaker 1: the skill and grace and elegance that only an award

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Speaker 1: winning journalist and actual doctor who's not a doctor can

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Speaker 1: uh achieve. I don't know where else how's gonna send

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Speaker 1: that sentence, but check this out? Was this adopted you

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Speaker 1: bring you a norphan? Are you a thirty three year

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Speaker 1: old scam artist and mascarating as a six year old child?

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Speaker 1: I guess it comes down to whether or not you

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Speaker 1: are an evil psychopath and demon child? It's come over

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Speaker 1: here to murder anybody that that question is asked directly

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Speaker 1: to her face, and you get her reaction and it

356
00:20:04,480 --> 00:20:08,359
Speaker 1: is like wait, what like very uh and all this

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Speaker 1: very much like I would react to somebody ask me that.

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Speaker 1: But in the account that's been relied to me, and

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00:20:13,760 --> 00:20:18,640
Speaker 1: even the trailer for this you know television event, we've

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00:20:18,680 --> 00:20:21,840
Speaker 1: not heard a peep out of the you know, the

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Speaker 1: supposed either demon child or just ordinary child. Well she

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Speaker 1: says a couple of things. They weren't as interesting. I'll

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Speaker 1: be honest. We edited that, But does it does? Like

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Speaker 1: what is on the initial charge before her family relocated

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Speaker 1: to Canada. I mean, surely there'd be a canra he said, No,

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Speaker 1: I'm six right, that's what she says. That's what she

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Speaker 1: basically said, A single tier. And they're like, are you

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Speaker 1: trying to kill these kids? Like no, and single here

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Speaker 1: now looks she could be the master finess er scam lord,

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Speaker 1: or she might be a really terribly misundertood child and

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Speaker 1: it gets it a thing where that I didn't hadn't

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Speaker 1: really thought about. But you can't if you don't know

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Speaker 1: a person's birthday, you can't confirm their age. Like their

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00:21:07,320 --> 00:21:10,399
Speaker 1: tests they did about like bone density, but like some

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Speaker 1: of the tests said she was sick, some of the

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00:21:12,240 --> 00:21:15,920
Speaker 1: tests said she was like, so it's just like yeah,

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00:21:16,280 --> 00:21:19,080
Speaker 1: you just can't tell. There's no way to know. But

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Speaker 1: also the real mom from Ukraine also came out, was like, no,

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Speaker 1: she she's a little girl. But we don't know how

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Speaker 1: far this We don't know how deep this thing goes,

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Speaker 1: you know, high up this thing goes. If she is

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Speaker 1: a little girl, it's fucked up that all of this

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00:21:33,440 --> 00:21:36,919
Speaker 1: has happened because she's a child and she can't legally

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Speaker 1: even be shown in newspaper articles, and then you think

385
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Speaker 1: at some point there would have to be serious consequences

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Speaker 1: for that family who are just like, I don't know

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Speaker 1: because at that point, if she is a child, was

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Speaker 1: she actually saying this stuff or were they just trying

389
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Speaker 1: to make up another story so they could be like

390
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Speaker 1: we weren't feeling really feeling this kid. This doesn't feel

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Speaker 1: tied to our reality. I mean even amongst the you know,

392
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Speaker 1: all of the how crazy news cycles generally are. Now

393
00:22:05,520 --> 00:22:09,200
Speaker 1: this entire thing is because if there's no way of

394
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Speaker 1: age testing, were just putting the word of a six

395
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Speaker 1: year old or possibly twenty something, you old scam artist

396
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Speaker 1: against you know, a Ukrainian family who have you know,

397
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Speaker 1: like because the possible outcomes is so different as a

398
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Speaker 1: six year old, then all of your sympathy goes towards

399
00:22:25,119 --> 00:22:27,159
Speaker 1: the six year old. But it is a two year

400
00:22:27,200 --> 00:22:32,800
Speaker 1: old scam artist. This Ukrainian family, American family, yeah right,

401
00:22:32,840 --> 00:22:37,800
Speaker 1: an American family, an American family. Yea, her birth mother

402
00:22:37,880 --> 00:22:40,800
Speaker 1: in Ukraine out and said so they moved, they moved

403
00:22:40,840 --> 00:22:44,280
Speaker 1: from America to Canada. This yes, yeah, yeah, yeah, because

404
00:22:44,320 --> 00:22:46,879
Speaker 1: they have they have another son who's artistic, who's like

405
00:22:46,960 --> 00:22:50,160
Speaker 1: a math genius, so they moved to Canada so their

406
00:22:50,240 --> 00:22:53,800
Speaker 1: kid could be closer to like this institute to keep staying. Yeah,

407
00:22:54,080 --> 00:22:57,320
Speaker 1: they had was it sixty minutes did a story about

408
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Speaker 1: their family in the past already because they had this

409
00:23:01,240 --> 00:23:06,560
Speaker 1: child who suffered or who has I think autism, but

410
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Speaker 1: it is also like a genius level mathematician. And you

411
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Speaker 1: see the Ukrainian orphan is there supporting charac background Not

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Speaker 1: anyone who watched the initiative sixty minutes they thought, well,

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Speaker 1: you know what's going on there. I know exactly the

414
00:23:19,920 --> 00:23:24,480
Speaker 1: narrative here characters, but the train spotters would have said,

415
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Speaker 1: I'd like to hear more from that Ukrainian exactly. Uh, well,

416
00:23:28,400 --> 00:23:33,200
Speaker 1: I think their coffee. Yeah, push pushing the mom into

417
00:23:33,240 --> 00:23:36,440
Speaker 1: an electrified fence, which is there would be fun to

418
00:23:36,520 --> 00:23:39,800
Speaker 1: comb through the that that sixty minutes footage. Yeah, Like

419
00:23:39,920 --> 00:23:44,399
Speaker 1: the footage would be a whole body of it. Like

420
00:23:44,520 --> 00:23:46,920
Speaker 1: what's she doing back? I don't know if she's like, yeah,

421
00:23:47,400 --> 00:23:49,119
Speaker 1: she's like it could be like the gray and the

422
00:23:49,200 --> 00:23:52,120
Speaker 1: pink dress, where to one person just sees a six

423
00:23:52,119 --> 00:23:54,399
Speaker 1: short doing a jigsaw and another person sees them like

424
00:23:54,480 --> 00:23:57,879
Speaker 1: lacing coffee with arsena, right, right, there was another one

425
00:23:57,920 --> 00:24:02,440
Speaker 1: of those, the shoe. It was just as confounding to

426
00:24:02,560 --> 00:24:06,440
Speaker 1: me the dress thing. But we we didn't get into

427
00:24:06,520 --> 00:24:09,400
Speaker 1: it because I guess we're over the shoe. That one

428
00:24:09,600 --> 00:24:12,399
Speaker 1: one like it looked either pink and gray or another

429
00:24:12,440 --> 00:24:14,800
Speaker 1: one of those, right, I don't know. I still find

430
00:24:14,840 --> 00:24:18,080
Speaker 1: that to be they just different pictures, a rip in

431
00:24:18,960 --> 00:24:22,440
Speaker 1: the fabric of reality. But I think one thing, you know,

432
00:24:22,560 --> 00:24:26,040
Speaker 1: like we were saying, the medical tests can't determine, the

433
00:24:26,080 --> 00:24:29,480
Speaker 1: bone density tests can't determine. I think one thing we

434
00:24:29,600 --> 00:24:32,440
Speaker 1: can all agree on is the one way to determine

435
00:24:32,480 --> 00:24:34,760
Speaker 1: this is just to come right out and ask her.

436
00:24:35,760 --> 00:24:39,639
Speaker 1: A psychopath, demon child came here to murder everything. Just

437
00:24:40,080 --> 00:24:43,879
Speaker 1: ask it in a totally open and objective way like that.

438
00:24:44,040 --> 00:24:46,520
Speaker 1: It's a yes or no. It's a yes or no question. Yeah.

439
00:24:46,560 --> 00:24:48,440
Speaker 1: I can't believe Dr Phil has been sitting on the

440
00:24:48,520 --> 00:24:53,520
Speaker 1: answer this whole damn time. All Right, we're gonna take

441
00:24:53,560 --> 00:24:56,800
Speaker 1: a quick break and we'll be back to get into

442
00:24:56,880 --> 00:25:10,280
Speaker 1: some news. Yeah, and we're back, and it's time to

443
00:25:10,400 --> 00:25:13,520
Speaker 1: check in with the impeachment inquiry. I'm talking about impeaching.

444
00:25:14,720 --> 00:25:19,200
Speaker 1: Uh So, the r n C, the Republicans have been

445
00:25:19,280 --> 00:25:23,640
Speaker 1: funding an operation to jam democratic phone lines. Yeah. Real, Look,

446
00:25:23,880 --> 00:25:28,199
Speaker 1: they're pulling out all the stops right now. They got

447
00:25:28,280 --> 00:25:31,880
Speaker 1: they've already spent like over two points some million dollars

448
00:25:32,200 --> 00:25:36,080
Speaker 1: on fighting the impeachment inquiry with you know, television ads,

449
00:25:36,119 --> 00:25:39,280
Speaker 1: print ads, robo calls and things like that. But we've

450
00:25:39,359 --> 00:25:42,840
Speaker 1: just found out that they paid for nearly eleven thousand

451
00:25:42,960 --> 00:25:48,480
Speaker 1: calls to like thirtysome House Democrats basically to like pressure

452
00:25:48,520 --> 00:25:51,560
Speaker 1: them into back off, backing off the impeachment inquiry. Uh,

453
00:25:51,640 --> 00:25:53,600
Speaker 1: and to like clog their phone lines with the high

454
00:25:53,680 --> 00:25:56,399
Speaker 1: volume of calls, so maybe other people can't get to them. Um.

455
00:25:56,440 --> 00:25:57,879
Speaker 1: And a lot of people are like, hold on, what

456
00:25:58,040 --> 00:26:00,359
Speaker 1: the fun are these robo calls? And they are very

457
00:26:00,440 --> 00:26:03,240
Speaker 1: like coy about it, like they're not robot calls, Like

458
00:26:03,400 --> 00:26:05,679
Speaker 1: a robot call would go to someone and then if

459
00:26:05,760 --> 00:26:10,200
Speaker 1: they if they answered, yes, they are against the impeachment inquiry,

460
00:26:10,359 --> 00:26:12,600
Speaker 1: then we would say we will now forward you to

461
00:26:12,720 --> 00:26:15,320
Speaker 1: a House Democrats so you can complain. And they were

462
00:26:15,359 --> 00:26:17,560
Speaker 1: real people that they had reached. That's what they say.

463
00:26:17,640 --> 00:26:21,560
Speaker 1: But it sounds like you know, half astroturfing nonsense though too.

464
00:26:21,680 --> 00:26:23,440
Speaker 1: Oh yeah, But I mean the bottom line is whether

465
00:26:23,520 --> 00:26:25,520
Speaker 1: or not. I mean, I'm sure there's there's clearly eleven

466
00:26:25,560 --> 00:26:27,760
Speaker 1: thousand people out there who are against it, but like

467
00:26:27,920 --> 00:26:30,240
Speaker 1: the idea, it's very cynical to be like, let's do that,

468
00:26:30,400 --> 00:26:33,240
Speaker 1: let's jam up their phone lines and like, you know,

469
00:26:33,359 --> 00:26:37,040
Speaker 1: so as much chaos as possible. Yeah, and I think,

470
00:26:37,760 --> 00:26:40,480
Speaker 1: you know, the when when I hear it's the r

471
00:26:40,600 --> 00:26:43,560
Speaker 1: n C, I assume I'm picturing like Mitch McConnell and

472
00:26:43,640 --> 00:26:47,720
Speaker 1: other like sort of legacy Republicans. But apparently now that

473
00:26:47,840 --> 00:26:53,280
Speaker 1: Trump has all the money and the Republican Party, he's

474
00:26:53,359 --> 00:26:59,480
Speaker 1: just like taken over a complete control of the party. Now, Yeah,

475
00:26:59,720 --> 00:27:04,720
Speaker 1: that's it's it's incredible, and I use incredible. Even though

476
00:27:04,760 --> 00:27:08,280
Speaker 1: it's traditionally has positive connotations, I actually I would like

477
00:27:08,359 --> 00:27:13,879
Speaker 1: it to have negative connotations. Instance, the lengths that this

478
00:27:14,040 --> 00:27:16,160
Speaker 1: guy will go to. I don't know if you guys

479
00:27:16,160 --> 00:27:18,440
Speaker 1: have been keeping your finger on the pulse of the news,

480
00:27:18,560 --> 00:27:20,240
Speaker 1: but I'm staying to get a him with Donald Trump

481
00:27:20,320 --> 00:27:29,520
Speaker 1: goes how's this all play? In New Zealand frustratingly quite loud,

482
00:27:31,640 --> 00:27:34,719
Speaker 1: you know, it's the I mean, not surprisingly, I suppose

483
00:27:34,760 --> 00:27:37,960
Speaker 1: it is internationally probably one of the biggest ongoing news sagas,

484
00:27:38,640 --> 00:27:42,639
Speaker 1: but um, it's just it's it's chaos, like in the

485
00:27:42,760 --> 00:27:47,840
Speaker 1: amount of speculation and noise around the actual proceedings, which

486
00:27:47,920 --> 00:27:52,160
Speaker 1: is so common I think with specifically American politics. It's

487
00:27:52,200 --> 00:27:54,399
Speaker 1: just it's I know it's not modeled off of sport,

488
00:27:54,520 --> 00:27:57,879
Speaker 1: but the outcome if it's only peripher not that the

489
00:27:58,160 --> 00:28:01,000
Speaker 1: impacts are only perifery or for everyone, but you know,

490
00:28:01,160 --> 00:28:04,080
Speaker 1: like if it's not specifically where you are. I've been

491
00:28:04,240 --> 00:28:06,480
Speaker 1: in New Zealand for the last couple of months, but

492
00:28:06,600 --> 00:28:09,320
Speaker 1: you still keep you know, it's still comes into your vision.

493
00:28:09,600 --> 00:28:12,000
Speaker 1: But it's just like the number of it's the same

494
00:28:12,040 --> 00:28:14,560
Speaker 1: with polling and like all of the anticipation around the

495
00:28:14,680 --> 00:28:18,159
Speaker 1: twenty election. So it's just the number of people in

496
00:28:18,240 --> 00:28:23,600
Speaker 1: a variety of suits and dresses clattered around tables talking

497
00:28:23,680 --> 00:28:27,280
Speaker 1: about something without enough information to actually have a firm opinion.

498
00:28:27,680 --> 00:28:31,200
Speaker 1: It makes no sense that our system is as winner

499
00:28:31,320 --> 00:28:34,560
Speaker 1: take all as it is, other than that it creates

500
00:28:34,680 --> 00:28:38,800
Speaker 1: an incredible media spectacle everything. Ye like, it doesn't make

501
00:28:38,920 --> 00:28:42,640
Speaker 1: just like born out of that manifest destiny attitude. There

502
00:28:42,680 --> 00:28:45,120
Speaker 1: are fucking you win or you fucking lose. Yeah, I

503
00:28:45,200 --> 00:28:49,360
Speaker 1: was just talking about how strange it is that the primary,

504
00:28:49,600 --> 00:28:53,080
Speaker 1: Like there's such a huge difference between like you will

505
00:28:53,160 --> 00:28:57,480
Speaker 1: either be remembered as your party's candidate who ran for president,

506
00:28:57,880 --> 00:29:00,760
Speaker 1: or he'll be completely forgotten. Like when you look back

507
00:29:00,800 --> 00:29:04,000
Speaker 1: at people who like who ran in primaries and didn't

508
00:29:04,080 --> 00:29:07,360
Speaker 1: win the nomination, it's like just they just go away.

509
00:29:07,600 --> 00:29:12,040
Speaker 1: Yeah yeah, but that's honestly as it stands, I would

510
00:29:12,080 --> 00:29:17,880
Speaker 1: imagine a more desirable outcome to not win. Yeah, so

511
00:29:18,040 --> 00:29:22,040
Speaker 1: you're not like just pulled out. It's like, oh it

512
00:29:22,160 --> 00:29:26,080
Speaker 1: looks you know, being a multimillionaire who's running to be

513
00:29:26,120 --> 00:29:29,960
Speaker 1: a presidential candidate and even draw from the rice looks

514
00:29:30,000 --> 00:29:33,600
Speaker 1: pretty good. What do you got left? Millions of dollars

515
00:29:33,720 --> 00:29:35,800
Speaker 1: in time on your hand? You can literally do anything

516
00:29:35,920 --> 00:29:40,560
Speaker 1: you want president. But otherwise it's a pretty long list. Right. Well,

517
00:29:40,640 --> 00:29:43,200
Speaker 1: another thing that we're learning this week in the impeachment

518
00:29:43,240 --> 00:29:47,200
Speaker 1: inquiry is, uh, the Democrats are starting to release transcripts

519
00:29:47,320 --> 00:29:51,360
Speaker 1: from the closed door hearings. Right yeah, Well they're doing it,

520
00:29:51,520 --> 00:29:54,760
Speaker 1: you know, very strategically where they're just it's partial bits,

521
00:29:55,200 --> 00:29:58,680
Speaker 1: but each one is like just another damning dimension on

522
00:29:58,840 --> 00:30:01,040
Speaker 1: like what was going going on with the White House,

523
00:30:01,080 --> 00:30:03,400
Speaker 1: what was going on the State Department, and especially with

524
00:30:03,520 --> 00:30:07,640
Speaker 1: Maria Ivanovitch who was the ambassador to Ukraine who Trump

525
00:30:07,800 --> 00:30:11,200
Speaker 1: was like on that twenty ju she's a problem or

526
00:30:11,280 --> 00:30:14,560
Speaker 1: something said something about it, because are going to happen

527
00:30:14,600 --> 00:30:17,920
Speaker 1: to her? Yeah, because she was a career diplomat who

528
00:30:18,040 --> 00:30:20,120
Speaker 1: was like, no, I don't I'm not here, I'm not

529
00:30:20,200 --> 00:30:24,280
Speaker 1: interested in like this like underhanded bullshit, like shadow campaign

530
00:30:24,360 --> 00:30:27,680
Speaker 1: you're trying to run, and was being pretty hard about it,

531
00:30:27,840 --> 00:30:30,880
Speaker 1: like hard, but kept her stand, stood her ground, which

532
00:30:30,960 --> 00:30:33,080
Speaker 1: made her a problem when you're dealing with a bunch

533
00:30:33,120 --> 00:30:36,040
Speaker 1: of snakes. So when the things that we found out,

534
00:30:36,120 --> 00:30:38,640
Speaker 1: obviously we knew there was an intense pressure campaign to

535
00:30:38,640 --> 00:30:40,080
Speaker 1: smear her or try and make her look bad. So

536
00:30:40,200 --> 00:30:43,160
Speaker 1: she didn't inevitably have to leave, but there are these

537
00:30:43,200 --> 00:30:46,000
Speaker 1: other things that have come out. So she asked Gordon Songlond,

538
00:30:46,280 --> 00:30:49,760
Speaker 1: who is the guy who bought his ambassadorship from Trump

539
00:30:49,840 --> 00:30:52,280
Speaker 1: with like with a lot of the donation to the

540
00:30:53,160 --> 00:31:00,440
Speaker 1: completely inconsequential EU. Yeah, exactly that he just bought that. Okay, great, um,

541
00:31:00,800 --> 00:31:02,800
Speaker 1: And she said, you know, what what should I do?

542
00:31:03,040 --> 00:31:04,560
Speaker 1: Like what's going on? And feel like there's a lot

543
00:31:04,600 --> 00:31:06,440
Speaker 1: of pressure on me? This is what he said. Yovanovitch

544
00:31:06,480 --> 00:31:09,200
Speaker 1: testified that Salmon told her she needed to quote go

545
00:31:09,440 --> 00:31:12,520
Speaker 1: big or go home end quote. She added that he said,

546
00:31:12,640 --> 00:31:15,120
Speaker 1: quote you need to, you know, tweet out there that

547
00:31:15,240 --> 00:31:18,200
Speaker 1: you support the president and that all these are lies

548
00:31:18,320 --> 00:31:24,240
Speaker 1: and everything else. End quote. What wait, you need to

549
00:31:24,320 --> 00:31:27,280
Speaker 1: you know, tweet out that there you support the president

550
00:31:27,320 --> 00:31:30,280
Speaker 1: and then all these are lies and everything else. That

551
00:31:30,360 --> 00:31:32,480
Speaker 1: sounds like something someone's drunk his time to try and

552
00:31:32,520 --> 00:31:35,640
Speaker 1: give you some advice to go big or go home.

553
00:31:36,280 --> 00:31:40,640
Speaker 1: So and then they basically threatened her security or they

554
00:31:40,720 --> 00:31:43,520
Speaker 1: threatened her safety right well, it was coming. So then

555
00:31:43,600 --> 00:31:45,800
Speaker 1: more she was finding out weirder stuff that people were

556
00:31:45,840 --> 00:31:47,960
Speaker 1: saying this ship about her, that like other people in

557
00:31:48,120 --> 00:31:51,120
Speaker 1: Ukraine were like something Rudy Julian's bad fucking news, Like

558
00:31:51,160 --> 00:31:52,840
Speaker 1: I don't know what's going on. It's like I don't know.

559
00:31:53,440 --> 00:31:55,560
Speaker 1: I'm the ambassador, but I don't what then this guy's doing.

560
00:31:55,840 --> 00:31:59,120
Speaker 1: So she found out from a Foreign service official UH

561
00:31:59,200 --> 00:32:01,800
Speaker 1: in two different calls, that was like kind of a warning,

562
00:32:01,880 --> 00:32:04,680
Speaker 1: she said. In the first call, this UH foreign Service

563
00:32:04,760 --> 00:32:07,239
Speaker 1: officials said that she was giving me a heads up

564
00:32:07,320 --> 00:32:10,120
Speaker 1: that things were going wrong, quote kind of off the

565
00:32:10,240 --> 00:32:12,160
Speaker 1: track and wanted to give me a heads up. She

566
00:32:12,240 --> 00:32:14,000
Speaker 1: didn't know what was happening, but there was a lot

567
00:32:14,040 --> 00:32:16,720
Speaker 1: of nervousness on the seventh floor and up the street.

568
00:32:17,160 --> 00:32:20,560
Speaker 1: And Ivanovitch clarifies that up the street meant the White House.

569
00:32:20,800 --> 00:32:23,200
Speaker 1: Someone's going on at the White House. And then uh,

570
00:32:23,640 --> 00:32:26,440
Speaker 1: when asked, did you understand what she meant about nervousness,

571
00:32:27,200 --> 00:32:29,960
Speaker 1: she says, those answers eventually came. She called me about

572
00:32:29,960 --> 00:32:32,840
Speaker 1: an hour later, so now it's one am in the Ukraine. Uh.

573
00:32:33,000 --> 00:32:34,600
Speaker 1: And and then I was asked, what did she say

574
00:32:34,640 --> 00:32:36,440
Speaker 1: to you? Then she said that there was a lot

575
00:32:36,520 --> 00:32:38,160
Speaker 1: of concern for me, that I needed to be on

576
00:32:38,240 --> 00:32:40,480
Speaker 1: the next plane home to Washington. And I was like,

577
00:32:40,720 --> 00:32:42,640
Speaker 1: what what happened? And she said, I don't know, but

578
00:32:42,760 --> 00:32:45,720
Speaker 1: this is about your security. You need to come home immediately.

579
00:32:45,760 --> 00:32:47,840
Speaker 1: You need to come home on the next plane. And

580
00:32:48,320 --> 00:32:50,560
Speaker 1: that was their way of getting her out of Ukraine.

581
00:32:50,600 --> 00:32:52,800
Speaker 1: But she did not get on that next plane because

582
00:32:52,840 --> 00:32:55,760
Speaker 1: she was like that. But at the same time, other

583
00:32:55,840 --> 00:32:58,720
Speaker 1: people were getting were like, I don't know, like you

584
00:32:58,800 --> 00:33:01,080
Speaker 1: may want to come back, and was hearing that they

585
00:33:01,120 --> 00:33:03,240
Speaker 1: were still going to try and go after her, whether

586
00:33:03,400 --> 00:33:06,640
Speaker 1: professionally or whatever. But just all this weird ship kept

587
00:33:06,640 --> 00:33:09,200
Speaker 1: popping up, which eventually she was like, okay, I guess,

588
00:33:09,320 --> 00:33:12,120
Speaker 1: and then the President recalled her. You'd be so divis said,

589
00:33:12,320 --> 00:33:14,840
Speaker 1: you know, you finally fulfill your childhood dream of becoming

590
00:33:14,880 --> 00:33:18,280
Speaker 1: the US ambasted it to the Ukraine, right, and then

591
00:33:18,400 --> 00:33:22,000
Speaker 1: this absolute maelstrom of ship explodes around, and you think,

592
00:33:22,240 --> 00:33:23,640
Speaker 1: God damn it, I just wanted to be a down

593
00:33:23,720 --> 00:33:27,720
Speaker 1: the line US ambassador to Ukraine, right. And that the

594
00:33:27,800 --> 00:33:30,440
Speaker 1: unfortunate part is because of all the murky overlap with

595
00:33:30,600 --> 00:33:35,080
Speaker 1: like oligarchs and Russia and Paul Manaforts business dealings in Ukraine,

596
00:33:35,640 --> 00:33:38,360
Speaker 1: it ended up being a focal point for a lot

597
00:33:38,440 --> 00:33:41,080
Speaker 1: of this fucory that's been going on. So another thing

598
00:33:41,160 --> 00:33:44,520
Speaker 1: that she was also talking about is that the president

599
00:33:44,640 --> 00:33:47,360
Speaker 1: also did the same scheme like with the old the

600
00:33:47,600 --> 00:33:53,600
Speaker 1: last um Ukrainian president, UH Petro Porshchenko, basically saying like, hey,

601
00:33:53,680 --> 00:33:56,000
Speaker 1: I know you need these javelin missiles to fight Russians

602
00:33:56,160 --> 00:33:59,880
Speaker 1: on your border. How about you like bury these investigations

603
00:34:00,000 --> 00:34:03,000
Speaker 1: into this black ledger, which is that like that list

604
00:34:03,080 --> 00:34:06,400
Speaker 1: of like two billion dollars that had illicit payments UH

605
00:34:06,480 --> 00:34:09,520
Speaker 1: to the like pro Russia regions and then also Paul Manafort.

606
00:34:09,560 --> 00:34:11,400
Speaker 1: That was the reason why Paul Manaford had to like

607
00:34:11,880 --> 00:34:14,640
Speaker 1: leave his position. They're like, why don't you bury that

608
00:34:15,040 --> 00:34:18,440
Speaker 1: and then maybe we'll get you some Javelin missiles, and

609
00:34:18,560 --> 00:34:22,480
Speaker 1: it happened. It happened. So she she pointed out that

610
00:34:22,640 --> 00:34:26,480
Speaker 1: Ukraine's investigation into those payments and Manafort's role stalled just

611
00:34:26,719 --> 00:34:30,680
Speaker 1: days after Giuliani visited Ukraine in June of and met

612
00:34:30,760 --> 00:34:33,640
Speaker 1: with the Inspector General and the president. At the time,

613
00:34:33,840 --> 00:34:36,760
Speaker 1: the Maniforn investigation was handed off from Ukraine's anti corruption

614
00:34:36,840 --> 00:34:39,799
Speaker 1: unit to Litsenko, and the Kiev Post quoted a former

615
00:34:39,880 --> 00:34:42,440
Speaker 1: Ukrainian officials saying, it is clear for me that somebody

616
00:34:42,520 --> 00:34:45,239
Speaker 1: gave an order to bury the Black Ledger. A little

617
00:34:45,280 --> 00:34:47,279
Speaker 1: over a week later, the US made a sale of

618
00:34:47,360 --> 00:34:52,520
Speaker 1: Javelin anti tank missiles to Ukraine. And I mean combining

619
00:34:52,800 --> 00:34:57,279
Speaker 1: like the fact that her security, her safety was being

620
00:34:57,800 --> 00:35:02,719
Speaker 1: threatened with like what we see on that memo of

621
00:35:03,239 --> 00:35:09,080
Speaker 1: Trump's conversation. He says, like what a person would say

622
00:35:09,239 --> 00:35:12,320
Speaker 1: if they were ordering someone to be killed in like

623
00:35:12,560 --> 00:35:13,799
Speaker 1: in a movie, What did you say that she's going

624
00:35:13,840 --> 00:35:16,520
Speaker 1: to go through something, She's going to go through some things.

625
00:35:17,360 --> 00:35:19,640
Speaker 1: After talking about her, he said, well, you know she's

626
00:35:19,640 --> 00:35:22,239
Speaker 1: going to go through some things. So I mean, but

627
00:35:22,360 --> 00:35:26,160
Speaker 1: there's his whole you know, that's his whole identity or

628
00:35:26,239 --> 00:35:29,200
Speaker 1: his whole operating system is just downloaded from a composite

629
00:35:29,200 --> 00:35:33,000
Speaker 1: of like movie villains. Yeah, it seems like and also

630
00:35:33,120 --> 00:35:36,600
Speaker 1: like paleling around with this mob lawyer Cone back in

631
00:35:36,640 --> 00:35:38,680
Speaker 1: the day, like we kind of learned the ropes from

632
00:35:38,760 --> 00:35:42,759
Speaker 1: like legitimate organized crime people, right, So, and you know,

633
00:35:42,920 --> 00:35:44,520
Speaker 1: just the way he runs it, he really does. He's like,

634
00:35:45,000 --> 00:35:49,000
Speaker 1: that's how you how you run an organization. As he's, yeah, look,

635
00:35:49,120 --> 00:35:51,000
Speaker 1: I'll stand behind what I said earlier. Where and the

636
00:35:51,040 --> 00:35:54,840
Speaker 1: guys he's truly up to no good. It's just crazy

637
00:35:54,880 --> 00:35:56,719
Speaker 1: to get the job on the you know, like it's

638
00:35:56,800 --> 00:35:59,000
Speaker 1: the amount of ignorance. It seems like he ended the

639
00:35:59,080 --> 00:36:01,279
Speaker 1: office with in terms of not just stuff that is

640
00:36:01,360 --> 00:36:03,040
Speaker 1: unfilled since he was in the White House, but the

641
00:36:03,480 --> 00:36:06,560
Speaker 1: number of misdeeds and wrongdoings that have listed his entire

642
00:36:06,680 --> 00:36:09,319
Speaker 1: life the point that you know, they continue to catch

643
00:36:09,400 --> 00:36:12,560
Speaker 1: up and pile up. It's like the messiest escape route

644
00:36:12,600 --> 00:36:15,240
Speaker 1: where he just keeps like papering over these lies until

645
00:36:15,480 --> 00:36:19,520
Speaker 1: it's just it's almost it's almost not untraceable, but it's

646
00:36:19,560 --> 00:36:21,719
Speaker 1: like there's so many there's so many balls in there,

647
00:36:21,719 --> 00:36:26,040
Speaker 1: there's so many distractions from everything. Is there a Fox

648
00:36:26,120 --> 00:36:30,200
Speaker 1: News equivalent in New Zealand where we are not big enough?

649
00:36:31,320 --> 00:36:34,800
Speaker 1: It's just you just get the objective facts. There's a

650
00:36:34,920 --> 00:36:38,480
Speaker 1: there's a couple of like sort of fringe blogs on

651
00:36:38,600 --> 00:36:41,960
Speaker 1: either side. But in terms of a mainstream news outlet, Yeah,

652
00:36:42,960 --> 00:36:45,879
Speaker 1: we've got one and then we've got we've got Channel one,

653
00:36:46,120 --> 00:36:50,279
Speaker 1: and we've also got Channel three. Channel to Channel two

654
00:36:50,360 --> 00:36:53,440
Speaker 1: doesn't broadcast news. It's owned by TVs who also owned

655
00:36:53,480 --> 00:36:58,000
Speaker 1: Channel it's like public broadcaster, and so they they play

656
00:36:58,080 --> 00:37:00,640
Speaker 1: at the same time the news is playing, they'll play

657
00:37:00,680 --> 00:37:05,560
Speaker 1: a soap nice on TV TV three is that and

658
00:37:05,920 --> 00:37:08,080
Speaker 1: as a subsidiary of a company called Media Works, who've

659
00:37:08,120 --> 00:37:11,000
Speaker 1: had a profitable radio branch and a television branch, has

660
00:37:11,040 --> 00:37:14,439
Speaker 1: been hemorrhaging money for years. And right before I left

661
00:37:14,840 --> 00:37:18,439
Speaker 1: the TV three, Media Work said, if TV three doesn't

662
00:37:18,440 --> 00:37:20,440
Speaker 1: find a buy before Christmas, the whole channel is going

663
00:37:20,480 --> 00:37:23,360
Speaker 1: to fold. So we're gonna go down to one news,

664
00:37:24,640 --> 00:37:28,879
Speaker 1: one news. We'll have two channels literally one news. Well,

665
00:37:28,920 --> 00:37:31,960
Speaker 1: the good thing for the president is that the people

666
00:37:32,440 --> 00:37:37,520
Speaker 1: that he has criming for hims are are you know,

667
00:37:37,800 --> 00:37:41,319
Speaker 1: loyal servants who just will go to the mat for him.

668
00:37:41,480 --> 00:37:45,680
Speaker 1: That's the thing about criminals who love crimes of opportunity

669
00:37:46,239 --> 00:37:49,600
Speaker 1: is that they are loyal. They are They stick to

670
00:37:49,680 --> 00:37:52,839
Speaker 1: their guns and then they flip when the pressure gets

671
00:37:52,880 --> 00:37:55,320
Speaker 1: too much to them. Yeah, so this is what's happening

672
00:37:55,800 --> 00:37:58,600
Speaker 1: with Love Partners. Who was one of the two Russian

673
00:37:58,680 --> 00:38:01,040
Speaker 1: linked guys that Rudy Julian he has been running around

674
00:38:01,120 --> 00:38:05,560
Speaker 1: with um him and this other guy, Igor Frewman. Now

675
00:38:05,680 --> 00:38:08,320
Speaker 1: these guys they got a subpoena from the House Impeachment

676
00:38:08,360 --> 00:38:10,400
Speaker 1: Inquiry saying we need you guys to come through and

677
00:38:10,440 --> 00:38:12,759
Speaker 1: talk to us. This is a subpoena. They l O

678
00:38:12,960 --> 00:38:15,160
Speaker 1: L did Away and said, yeah, we'll pass booked one

679
00:38:15,160 --> 00:38:17,839
Speaker 1: way tickets to Vienna, and then the FEDS arrested them

680
00:38:17,920 --> 00:38:20,600
Speaker 1: on the jetway, being like where the fund do you

681
00:38:20,680 --> 00:38:23,760
Speaker 1: think you're going? And so since then they've been allowed

682
00:38:23,800 --> 00:38:25,920
Speaker 1: they don't they haven't been locked up in the meantime,

683
00:38:26,200 --> 00:38:29,279
Speaker 1: but you know they've they're here to the answer to

684
00:38:29,360 --> 00:38:31,040
Speaker 1: for some crimes because if it seems like they were

685
00:38:31,040 --> 00:38:33,880
Speaker 1: funneling money in from foreign sources into into different campaigns

686
00:38:33,920 --> 00:38:35,640
Speaker 1: and things like that. So they're they're they're on the

687
00:38:35,680 --> 00:38:39,520
Speaker 1: hook a bit here. Um. So now love Parnas has said,

688
00:38:39,719 --> 00:38:42,480
Speaker 1: you know what, uh, I see that you were started

689
00:38:42,520 --> 00:38:45,560
Speaker 1: and connect dots between myself and this guy Dmitri fer

690
00:38:45,680 --> 00:38:47,879
Speaker 1: Tash who many people are like, I'm we're pretty sure

691
00:38:47,920 --> 00:38:49,839
Speaker 1: this guy is very high up in the Russian mob.

692
00:38:50,120 --> 00:38:53,680
Speaker 1: And it's also bankrolling. You're an entire operation because people like,

693
00:38:53,719 --> 00:38:55,840
Speaker 1: we don't know where these guys money comes from, but

694
00:38:56,080 --> 00:38:59,120
Speaker 1: they're paying Rudy Giuliani for some reason, like they paid

695
00:38:59,160 --> 00:39:01,960
Speaker 1: him five and dogs, like, what is your business exactly?

696
00:39:02,280 --> 00:39:05,040
Speaker 1: It doesn't matter, you know whatever. It's murky anytime a

697
00:39:05,160 --> 00:39:07,799
Speaker 1: question is asked of Rudy Giuliani, I just picture him

698
00:39:07,800 --> 00:39:13,040
Speaker 1: doing the handcuff dance that one time. That's just his

699
00:39:13,160 --> 00:39:15,560
Speaker 1: answer to everything. So then comes out he got rid

700
00:39:15,600 --> 00:39:18,400
Speaker 1: of his lawyers, got new lawyers because John Dowd was

701
00:39:18,480 --> 00:39:21,200
Speaker 1: his lawyer. The White House lawyer now has a new lawyer.

702
00:39:21,480 --> 00:39:23,239
Speaker 1: The lawyer said, we are willing to comply with the

703
00:39:23,280 --> 00:39:25,399
Speaker 1: subpoena to the extent that it does not violate any

704
00:39:25,440 --> 00:39:29,600
Speaker 1: appropriate privilege that Mr Partners may properly invoke, So maybe

705
00:39:29,640 --> 00:39:32,840
Speaker 1: he's gonna fifth it up up there. But also a

706
00:39:32,960 --> 00:39:34,840
Speaker 1: lot of the speculation is he could be angling for

707
00:39:34,960 --> 00:39:39,480
Speaker 1: immunity right to sort of leverage that against Rudy Giuliani essentially.

708
00:39:39,760 --> 00:39:42,160
Speaker 1: But then it's weird because if he has immunity in

709
00:39:42,239 --> 00:39:43,840
Speaker 1: one place, then what does that mean for the criminal

710
00:39:43,920 --> 00:39:45,560
Speaker 1: charges he faces. It's kind of the same thing with

711
00:39:45,640 --> 00:39:48,600
Speaker 1: all the north So it's there. I mean, obviously there

712
00:39:48,600 --> 00:39:50,799
Speaker 1: will be some legal working, but at the very least

713
00:39:50,880 --> 00:39:53,520
Speaker 1: this man will sit down in front of them. And

714
00:39:54,120 --> 00:39:55,800
Speaker 1: you know what Donald Trump says, if you're invoking the

715
00:39:55,800 --> 00:39:58,080
Speaker 1: fifth Amendment, it means he did something wrong, right, Um,

716
00:39:58,280 --> 00:40:01,439
Speaker 1: So either way it's gonna even if he doesn't say,

717
00:40:01,960 --> 00:40:05,960
Speaker 1: it's going to probably look uh not great. And all

718
00:40:06,040 --> 00:40:10,399
Speaker 1: of this because when he was arrested, there are many

719
00:40:10,480 --> 00:40:13,759
Speaker 1: photos of him of Donald Trump with this guy left

720
00:40:13,760 --> 00:40:18,080
Speaker 1: Parness and the other guy Frewman that the lawyer said Mr.

721
00:40:18,200 --> 00:40:21,960
Speaker 1: Partners was very upset by President Trump's plainly false statement

722
00:40:22,200 --> 00:40:25,920
Speaker 1: that he did not know him. Imagine just the lay

723
00:40:26,000 --> 00:40:27,799
Speaker 1: of the land. You give a bunch of money, You're

724
00:40:27,800 --> 00:40:30,640
Speaker 1: sitting with him at apparently intimate dinners, You've you're seen

725
00:40:30,719 --> 00:40:33,759
Speaker 1: waving at him at fundraisers and him waving back, You're

726
00:40:33,800 --> 00:40:36,440
Speaker 1: somehow recruited by you, Rudy Giuliani. And after all that

727
00:40:36,600 --> 00:40:38,360
Speaker 1: spending a heck of a lot of money on Rudy

728
00:40:38,360 --> 00:40:41,000
Speaker 1: Giuliani traveling or whatever, you're sitting in a prison cell

729
00:40:41,080 --> 00:40:42,640
Speaker 1: waiting to be bailed out, and you learned that the

730
00:40:42,680 --> 00:40:46,040
Speaker 1: president has completely distanced himself from you. Of course you'd

731
00:40:46,040 --> 00:40:52,200
Speaker 1: be upset. I'll have no fury. I mean, that's I

732
00:40:52,320 --> 00:40:55,640
Speaker 1: think that's a media myth that's pretty pervasive. Not as

733
00:40:55,680 --> 00:41:00,440
Speaker 1: pervasive as Guy's myth about echo obviously, but the the

734
00:41:00,600 --> 00:41:04,800
Speaker 1: idea that like there's this honor amongst thieves and that like,

735
00:41:05,440 --> 00:41:08,560
Speaker 1: you know, the whole idea of the crime family being

736
00:41:08,640 --> 00:41:12,279
Speaker 1: this thing about like you know, loyalty and all that ship. Like, Yeah,

737
00:41:12,360 --> 00:41:15,920
Speaker 1: when you ask cops and people who are experts on

738
00:41:16,000 --> 00:41:18,480
Speaker 1: these things, they generally say that a lot of that

739
00:41:18,640 --> 00:41:21,160
Speaker 1: is bullshit. And people just are kind of turning on

740
00:41:21,280 --> 00:41:24,719
Speaker 1: each other because you do crime out of desperation, and

741
00:41:25,120 --> 00:41:28,520
Speaker 1: if you have desperate people, they will you know, they're

742
00:41:28,560 --> 00:41:31,080
Speaker 1: fairly easy to manipulate. I just love that that the

743
00:41:31,200 --> 00:41:34,480
Speaker 1: tipping point might be if you know, a fregile ego.

744
00:41:35,320 --> 00:41:37,600
Speaker 1: It's very satisfying to think that the thing that might

745
00:41:37,760 --> 00:41:41,680
Speaker 1: undo Trump is just is just, you know, the same

746
00:41:41,760 --> 00:41:45,919
Speaker 1: thing that guides him, which is like if history would

747
00:41:45,920 --> 00:41:48,239
Speaker 1: have taken a completely different trajectory, if in that moment

748
00:41:48,320 --> 00:41:50,560
Speaker 1: I said, I think he's a great guy. What they're

749
00:41:50,560 --> 00:41:53,920
Speaker 1: doing to him is it's just a shame, great man. Okay,

750
00:41:54,040 --> 00:41:56,640
Speaker 1: let's keep it moving, and then we never find out.

751
00:41:57,840 --> 00:42:00,239
Speaker 1: All right, we're gonna take a quick break. We'll be

752
00:42:00,360 --> 00:42:14,319
Speaker 1: right back, and we're back. And uh, it turns out

753
00:42:15,120 --> 00:42:19,040
Speaker 1: my Amazon Echo, your Google Home can be hacked with

754
00:42:19,200 --> 00:42:22,759
Speaker 1: laser beams. Yeah, it's it sounds the headline something you

755
00:42:22,800 --> 00:42:26,520
Speaker 1: would say to scare an elderly person, and I would

756
00:42:26,560 --> 00:42:28,160
Speaker 1: bring it. I would bring a laser point with me,

757
00:42:28,280 --> 00:42:31,080
Speaker 1: like you see what I'm doing, Like, don't don't, don't

758
00:42:31,120 --> 00:42:34,319
Speaker 1: hack it. Oh, I'm hacking it. I'm hacking this thing.

759
00:42:34,719 --> 00:42:38,879
Speaker 1: Get back. The headline alone was enough to pique my interest. Um,

760
00:42:39,200 --> 00:42:41,480
Speaker 1: but it's all based on these researchers. They found that

761
00:42:41,600 --> 00:42:45,960
Speaker 1: the microphones and these things, they respond to frequencies of

762
00:42:46,200 --> 00:42:50,400
Speaker 1: light as if they were sound. So you're taking that information.

763
00:42:50,960 --> 00:42:53,440
Speaker 1: They've really figured out how to use like lasers with

764
00:42:53,520 --> 00:42:56,680
Speaker 1: these different frequencies to send these quote light commands from

765
00:42:57,320 --> 00:42:59,239
Speaker 1: outside your fucking home, if you even had to, if

766
00:42:59,239 --> 00:43:00,360
Speaker 1: you could, if you had a clear your line of

767
00:43:00,400 --> 00:43:02,719
Speaker 1: sight to it, and they could do things with it

768
00:43:03,040 --> 00:43:07,120
Speaker 1: based on the frequency, like opening garage doors, making online purchases,

769
00:43:07,560 --> 00:43:10,640
Speaker 1: and nearly like a myriad of other things basically based

770
00:43:10,680 --> 00:43:13,719
Speaker 1: on total use of the device. Essentially, Yeah, with a

771
00:43:13,840 --> 00:43:16,480
Speaker 1: laser beam. I feel like if someone figures out how

772
00:43:16,520 --> 00:43:19,520
Speaker 1: to do that, that is a shared echo or Google Home.

773
00:43:19,600 --> 00:43:21,840
Speaker 1: At that point, that is not your there's someone in

774
00:43:21,920 --> 00:43:28,799
Speaker 1: your neighborhood. He's there with lasers, right, share the damn thing. Yeah,

775
00:43:28,920 --> 00:43:31,080
Speaker 1: you did all this homework and I'm not gonna let

776
00:43:31,160 --> 00:43:35,480
Speaker 1: you use mine. Yeah, Like luckily it's like a lot

777
00:43:35,520 --> 00:43:38,560
Speaker 1: of work. He's just just buy one. You could have mine.

778
00:43:40,000 --> 00:43:41,880
Speaker 1: There's an easy to do this. It's like, are you

779
00:43:41,920 --> 00:43:46,320
Speaker 1: the one who keeps ordering toilet paper with a laser

780
00:43:46,400 --> 00:43:49,200
Speaker 1: beam from three houses down? Like, also, you're not even

781
00:43:49,239 --> 00:43:51,480
Speaker 1: good at it because I've just thought I was auto

782
00:43:51,640 --> 00:43:55,000
Speaker 1: ordering the stuff that I needed it and you were, okay, Well,

783
00:43:55,600 --> 00:43:58,839
Speaker 1: some really sort of good samaritan with a laser he's

784
00:43:58,880 --> 00:44:01,960
Speaker 1: just you know, both the bles that you're dropping looking

785
00:44:02,000 --> 00:44:04,160
Speaker 1: around your house, like, okay, they could use a new home.

786
00:44:04,680 --> 00:44:08,600
Speaker 1: Almost at abruptly a rake, let's just get these and

787
00:44:08,760 --> 00:44:11,480
Speaker 1: we're moving on. But yeah, it was it researchers or

788
00:44:11,520 --> 00:44:13,120
Speaker 1: I think we're looking at the security aspect. I don't

789
00:44:13,120 --> 00:44:15,719
Speaker 1: think it's necessarily quite met. The right reached the level

790
00:44:15,800 --> 00:44:19,440
Speaker 1: of scammers, laser based scamming. Yeah, but hey, if you're

791
00:44:19,440 --> 00:44:22,719
Speaker 1: an enterprising laser enthusiast, you don't look around with your echo,

792
00:44:22,760 --> 00:44:24,720
Speaker 1: so you can get that. Yeah, why don't you stop

793
00:44:25,320 --> 00:44:31,239
Speaker 1: torturing cats? Yeah, stop having some fun fun to torture cat.

794
00:44:31,280 --> 00:44:33,719
Speaker 1: That was laser not even torture. Play, Yeah, just play.

795
00:44:34,040 --> 00:44:35,759
Speaker 1: And also I have I have two cats in my house.

796
00:44:35,840 --> 00:44:37,960
Speaker 1: I'll try and see how high up the wall I

797
00:44:38,000 --> 00:44:39,840
Speaker 1: can get them to run this chance to laser. And

798
00:44:40,000 --> 00:44:43,239
Speaker 1: I've been thoroughly impressed at times how high apple wool

799
00:44:44,800 --> 00:44:48,919
Speaker 1: like maybe no, not two meters, maybe one point six

800
00:44:50,719 --> 00:44:54,080
Speaker 1: that's still high. Yeah, of like just scoring upp a

801
00:44:54,120 --> 00:44:57,480
Speaker 1: wall of chasing a little red dot. We should into

802
00:44:57,640 --> 00:45:01,759
Speaker 1: domestic animals into trek and feel old style of vans, right,

803
00:45:02,320 --> 00:45:05,759
Speaker 1: but do you use lasers to enhance their performance? So? Ye,

804
00:45:06,960 --> 00:45:10,279
Speaker 1: performance enhancing laser at that point, it would be yeah, well,

805
00:45:10,360 --> 00:45:12,239
Speaker 1: I don't know. I think they should also just late

806
00:45:12,480 --> 00:45:15,960
Speaker 1: athletes use steroids. I think they should at least have

807
00:45:16,080 --> 00:45:19,560
Speaker 1: separate Olympics for it, so that it's just like what

808
00:45:19,800 --> 00:45:23,720
Speaker 1: the human body can purely is purely capable of before

809
00:45:24,200 --> 00:45:27,480
Speaker 1: the bones just shadow. I mean, look, this is a

810
00:45:27,520 --> 00:45:30,560
Speaker 1: conversation that happens a lot. In fact, I was having

811
00:45:30,640 --> 00:45:34,640
Speaker 1: this conversation with DJ d Annal yesterday and yeah, I

812
00:45:34,680 --> 00:45:36,640
Speaker 1: would be down to see it. However, you know, so

813
00:45:36,719 --> 00:45:39,759
Speaker 1: many people would fucking die because they would do the

814
00:45:39,880 --> 00:45:43,600
Speaker 1: most experimental, like out of this world ship that without

815
00:45:43,680 --> 00:45:45,840
Speaker 1: knowing what the dangers are to themselves. Like you'd be like,

816
00:45:46,160 --> 00:45:49,280
Speaker 1: holy smokes, this guy ran a four second flat hundred

817
00:45:50,200 --> 00:45:52,920
Speaker 1: and he is hard exploded at the finish line. But

818
00:45:54,560 --> 00:45:57,719
Speaker 1: but that four second hundred meter dash would be like

819
00:45:57,840 --> 00:46:00,880
Speaker 1: watching Captain America in Infinity War or something. Instead, I

820
00:46:00,920 --> 00:46:02,839
Speaker 1: feel like we're just watching a bunch of athletes who

821
00:46:02,920 --> 00:46:05,160
Speaker 1: have a very small amount of the same drugs in

822
00:46:05,200 --> 00:46:08,800
Speaker 1: their body. Like blew the line between what is so

823
00:46:08,960 --> 00:46:12,880
Speaker 1: it's it's it's just administered by the league or something.

824
00:46:12,920 --> 00:46:15,160
Speaker 1: I just think it's the same amount of the No,

825
00:46:15,840 --> 00:46:18,160
Speaker 1: I don't know. I just think it's it's pervisive anyway.

826
00:46:18,239 --> 00:46:21,799
Speaker 1: So why Well, I guess I wonder how many people

827
00:46:21,920 --> 00:46:24,000
Speaker 1: are sort of like, well, if they didn't test, I

828
00:46:24,040 --> 00:46:27,399
Speaker 1: would actually be doing this, you know, because I'm sure

829
00:46:27,680 --> 00:46:30,799
Speaker 1: testing has made people figure out how to like sort

830
00:46:30,840 --> 00:46:32,720
Speaker 1: of cut corners and things like that. But I wonder

831
00:46:33,040 --> 00:46:35,759
Speaker 1: what it's fully stopping them from. It's like, goddamnf I

832
00:46:35,840 --> 00:46:37,800
Speaker 1: figure this thing out. I would be that what's the

833
00:46:38,000 --> 00:46:40,239
Speaker 1: like athletes career is a lasting you know, what's the

834
00:46:40,320 --> 00:46:43,200
Speaker 1: relationship between said tom Brady or even in Tinna's like

835
00:46:43,320 --> 00:46:45,719
Speaker 1: Fitterer and adult these guys were so old and are

836
00:46:45,719 --> 00:46:47,560
Speaker 1: achieving things that has never been done at the age

837
00:46:47,560 --> 00:46:50,520
Speaker 1: within a sport. The relationship between like the whatever the

838
00:46:50,560 --> 00:46:52,759
Speaker 1: technology of the conditioning and all the information you have,

839
00:46:53,080 --> 00:46:56,480
Speaker 1: and you know what if extra stuff is available? Yeah,

840
00:46:56,719 --> 00:47:00,959
Speaker 1: I mean I guess they it's more prolonged stuff. Ring. Yeah,

841
00:47:01,040 --> 00:47:03,680
Speaker 1: it's like what Tom Brady. Tom Brady has just had

842
00:47:03,760 --> 00:47:06,520
Speaker 1: to not have fun for two decades and just like

843
00:47:06,760 --> 00:47:10,919
Speaker 1: eating that seems fine, it doesn't seem fun. Leaves Yeah,

844
00:47:11,000 --> 00:47:13,640
Speaker 1: and get every black ass kisses from his son. Right,

845
00:47:14,200 --> 00:47:16,279
Speaker 1: Maybe he had a mega hat in his loc of

846
00:47:16,400 --> 00:47:19,160
Speaker 1: one time. No one even talks about it anymore. Well,

847
00:47:19,160 --> 00:47:22,919
Speaker 1: because I think most Patriots fans like, I mean, there's yah, yeah,

848
00:47:27,760 --> 00:47:35,839
Speaker 1: fucking Patriots, man. Yeah. Not the fucking neelers, the Oakland neelers. Right. Uh,

849
00:47:36,280 --> 00:47:42,680
Speaker 1: let's talk about Popeye's chicken sandwiches back. Fortunately, that has

850
00:47:42,760 --> 00:47:48,440
Speaker 1: caused a tragedy in Prince George's County in Maryland. Uh,

851
00:47:48,640 --> 00:47:53,000
Speaker 1: somebody there was an altercation at a line, possibly because

852
00:47:53,040 --> 00:47:54,719
Speaker 1: someone cut in front of him. We don't have the

853
00:47:54,960 --> 00:48:00,120
Speaker 1: actual like details, but somebody was stabbed at twenty eight

854
00:48:00,200 --> 00:48:03,480
Speaker 1: year old was stabbed and died at the hospital later. Uh,

855
00:48:03,719 --> 00:48:10,040
Speaker 1: in a line for a Popeye's chicken sandwich. That's we've yes,

856
00:48:10,560 --> 00:48:14,440
Speaker 1: it's wild because this is a whole genre of like, uh,

857
00:48:14,680 --> 00:48:17,719
Speaker 1: societal chaos video. I see a lot on Twitter which

858
00:48:17,760 --> 00:48:22,600
Speaker 1: is people fighting at Popeye's. There's so many people fighting

859
00:48:22,640 --> 00:48:27,839
Speaker 1: at Popeyes over these chicken sandwiches. Uh, what are the ingredients? Um,

860
00:48:28,440 --> 00:48:30,319
Speaker 1: I'm not sure. I think we're gonna have to look

861
00:48:30,320 --> 00:48:32,759
Speaker 1: into that now. What the hell is in there? Yeah?

862
00:48:32,840 --> 00:48:33,960
Speaker 1: I think I don't know. If it's just one of

863
00:48:34,000 --> 00:48:35,960
Speaker 1: those things where it became very popular and it was

864
00:48:36,000 --> 00:48:38,759
Speaker 1: a good thing. And then I don't know if like

865
00:48:39,200 --> 00:48:41,880
Speaker 1: people have just gone to like a hysteric level of

866
00:48:42,320 --> 00:48:45,920
Speaker 1: enthusiasm or what, or it's just sort of another symptom

867
00:48:46,200 --> 00:48:51,480
Speaker 1: of people already being stressed out and that that spilling

868
00:48:51,600 --> 00:48:53,840
Speaker 1: over and it just happens to be at a Popeye's

869
00:48:54,480 --> 00:48:56,480
Speaker 1: because I don't, you know, we as far as we know,

870
00:48:56,600 --> 00:48:59,399
Speaker 1: we don't know fully what happened, if these people knew

871
00:48:59,440 --> 00:49:01,800
Speaker 1: each other, or but the fact that most of the

872
00:49:01,880 --> 00:49:04,759
Speaker 1: partings seems to see be over someone cuts somebody in

873
00:49:04,840 --> 00:49:11,280
Speaker 1: line is just it's hard to fathom. Yeah, I will reserve,

874
00:49:11,920 --> 00:49:16,560
Speaker 1: not not reserve judgment, but just because that seems like

875
00:49:16,719 --> 00:49:18,799
Speaker 1: the sort of story that no matter what the fight

876
00:49:18,960 --> 00:49:20,920
Speaker 1: was about, they would come up with a way to

877
00:49:21,000 --> 00:49:24,200
Speaker 1: tie it into the chicken sand, right know that, like

878
00:49:24,440 --> 00:49:29,759
Speaker 1: the consumer loses it over like trying to get to

879
00:49:29,880 --> 00:49:33,840
Speaker 1: the same product story every Black Friday. They make a

880
00:49:33,880 --> 00:49:37,879
Speaker 1: big deal about that. And it turns out we looked

881
00:49:38,239 --> 00:49:41,040
Speaker 1: into like a bunch of those stories back at Cracked,

882
00:49:41,080 --> 00:49:43,080
Speaker 1: and a lot of them are like it was a

883
00:49:43,160 --> 00:49:46,680
Speaker 1: completely unrelated shooting that happened to happen in the parking

884
00:49:46,760 --> 00:49:49,200
Speaker 1: lot of the toys are us on Black Friday, and

885
00:49:49,360 --> 00:49:52,719
Speaker 1: so they say it was over. It's a great toy,

886
00:49:52,960 --> 00:49:56,480
Speaker 1: great opportunity to put a product name in a news story. Yeah,

887
00:49:56,680 --> 00:50:01,200
Speaker 1: and it's is a story, but really it's a it's

888
00:50:01,200 --> 00:50:04,759
Speaker 1: a pr thing and that. Yeah. Yeah, I'm sure the

889
00:50:04,840 --> 00:50:08,960
Speaker 1: kind of pr popeyees does not want either, right, I mean,

890
00:50:09,560 --> 00:50:11,839
Speaker 1: at the same time, it makes it makes it look

891
00:50:11,920 --> 00:50:16,040
Speaker 1: like they're sandwiches are in great demand. It certainly does

892
00:50:16,600 --> 00:50:19,960
Speaker 1: with with with obviously, you know, as much respect as

893
00:50:20,000 --> 00:50:23,200
Speaker 1: can be reserved for the outcome of the situation. It

894
00:50:23,320 --> 00:50:27,600
Speaker 1: does make the sandwich undeniably categorically look pretty taste, pretty

895
00:50:27,600 --> 00:50:31,279
Speaker 1: taste it well. I verified, We've verified it's delicious. It's

896
00:50:31,320 --> 00:50:34,520
Speaker 1: really good. Were you've eating the sandwich? Ye? Don't? You

897
00:50:34,560 --> 00:50:41,399
Speaker 1: don't know any ingredients? Don't? It's just carbon yeah, mostly carbon. Yeah,

898
00:50:41,400 --> 00:50:44,720
Speaker 1: I think it's a carbon based, carbon based food item.

899
00:50:44,920 --> 00:50:47,920
Speaker 1: Is that cole slore in the sandwich? It's just a

900
00:50:48,000 --> 00:50:52,000
Speaker 1: really well executed fried chicken. Man, this is the stupidest

901
00:50:52,080 --> 00:50:58,600
Speaker 1: fucking country in the world. Facts. Thanks, Yeah, it's just sauce,

902
00:50:58,680 --> 00:51:04,879
Speaker 1: pickle butter. It's the same sandwich that everyone's eating everywhere.

903
00:51:05,600 --> 00:51:10,759
Speaker 1: But it's so good. It's really good. Kind of fried

904
00:51:10,840 --> 00:51:13,799
Speaker 1: chicken you got in New Zealand. I don't know. It's

905
00:51:13,840 --> 00:51:17,920
Speaker 1: fried chicken big New Zealand. Yeah, it's popular everywhere, but

906
00:51:18,040 --> 00:51:21,759
Speaker 1: is there what are you? KFC is big in New

907
00:51:21,880 --> 00:51:24,240
Speaker 1: Zealand in a way that is I almost think unique

908
00:51:24,280 --> 00:51:27,880
Speaker 1: to how it is big here. KFC is uh like

909
00:51:28,000 --> 00:51:31,000
Speaker 1: it's it's we don't have a variety of the smaller

910
00:51:31,320 --> 00:51:34,400
Speaker 1: fried chicken. And so the relationship between New Zealanders and

911
00:51:34,480 --> 00:51:40,520
Speaker 1: KFC is a very stories relationship, right, they're everywhere. So

912
00:51:40,760 --> 00:51:44,200
Speaker 1: KFC is synonymous with fried chicken, like those are kind

913
00:51:44,239 --> 00:51:46,520
Speaker 1: of the same. You don't get fried chicken anywhere else really,

914
00:51:46,880 --> 00:51:49,840
Speaker 1: you go to the corner store, fried chicken at the

915
00:51:49,880 --> 00:51:52,640
Speaker 1: dairy like it's available, you know, fish and chip shops

916
00:51:52,680 --> 00:51:56,000
Speaker 1: and whatnot. But KFC would be if you're thinking about

917
00:51:56,040 --> 00:51:58,680
Speaker 1: fried chicken in New Zealand. But I mean, you know,

918
00:51:58,719 --> 00:52:02,200
Speaker 1: I don't think. I don't know to be feared the

919
00:52:02,280 --> 00:52:04,279
Speaker 1: double down? Did the double down break news here when

920
00:52:04,320 --> 00:52:06,839
Speaker 1: it was? Yeah, so they're having a New Zealand as well.

921
00:52:07,440 --> 00:52:09,359
Speaker 1: And then there was a time about five years ago

922
00:52:09,480 --> 00:52:13,320
Speaker 1: when a very popular chocolate company released chocolate milk, and

923
00:52:13,480 --> 00:52:15,800
Speaker 1: that I mean I make fun of America. But that

924
00:52:15,920 --> 00:52:19,000
Speaker 1: did see New Zealand into a frenzy and it sold out,

925
00:52:19,080 --> 00:52:20,720
Speaker 1: like in all of these stores and there were lines

926
00:52:20,760 --> 00:52:25,160
Speaker 1: out the door to chocolate milk. It was Whittakers and

927
00:52:25,239 --> 00:52:29,360
Speaker 1: it was really good chocolate. To be fair, it was

928
00:52:29,640 --> 00:52:33,040
Speaker 1: chocolate country. Yeah. Absolutely, it was a chocolate company. So

929
00:52:33,280 --> 00:52:36,640
Speaker 1: the quality they was coming from the chocolate, yeah, well

930
00:52:36,719 --> 00:52:39,600
Speaker 1: they they It was like a boutique chocolate company meet

931
00:52:39,640 --> 00:52:43,440
Speaker 1: a high end sort of organic milk company. Got it essentially.

932
00:52:43,480 --> 00:52:45,680
Speaker 1: I think they were melting high quality chocolate the high

933
00:52:45,719 --> 00:52:49,840
Speaker 1: quality of milk, and people couldn't handle that. But you know,

934
00:52:50,280 --> 00:52:52,840
Speaker 1: at the same time, I feel like we are we

935
00:52:53,120 --> 00:52:55,440
Speaker 1: derive a lot of the way that our media landscape

936
00:52:55,480 --> 00:52:59,279
Speaker 1: works from larger media landscapes that we've deferred to from

937
00:52:59,320 --> 00:53:02,680
Speaker 1: the outset. Now you guys in Britain. Yeah, we were

938
00:53:02,719 --> 00:53:06,920
Speaker 1: talking before we started recording about the fact that you guys,

939
00:53:07,320 --> 00:53:12,120
Speaker 1: like even though Christmas is in the summer for you guys,

940
00:53:12,640 --> 00:53:17,120
Speaker 1: the ornaments still have like frosting materials would suggest that

941
00:53:17,200 --> 00:53:20,239
Speaker 1: it's happening in winter. I mean, there's a few we've

942
00:53:20,280 --> 00:53:21,520
Speaker 1: got to we have a bit of fun with it.

943
00:53:21,640 --> 00:53:25,440
Speaker 1: Sometimes you'll see center uh and just some red shorts

944
00:53:25,520 --> 00:53:31,480
Speaker 1: on the white cuff trim Sunny's on. How does he

945
00:53:31,600 --> 00:53:35,160
Speaker 1: look no shirt? It looks good? Yeah, all right, yeah, no,

946
00:53:35,360 --> 00:53:38,480
Speaker 1: but even we have that sometimes like the yeah, like

947
00:53:39,440 --> 00:53:42,320
Speaker 1: tropical vacation or something, right, because there's also parts of

948
00:53:42,400 --> 00:53:45,920
Speaker 1: the country during you know what, quote unquote winter that

949
00:53:46,000 --> 00:53:49,640
Speaker 1: are still warm. So but we yeah, we take we

950
00:53:49,760 --> 00:53:52,279
Speaker 1: take a lot from from other places. It's just what

951
00:53:52,400 --> 00:53:54,840
Speaker 1: happens when you come from a small island nation. And

952
00:53:54,880 --> 00:53:56,799
Speaker 1: even so I come to America is crazy because right

953
00:53:56,880 --> 00:54:01,680
Speaker 1: here an American accent, you know, the wild. Yeah, I

954
00:54:01,800 --> 00:54:06,000
Speaker 1: think that. Yeah, I think that the sole function of

955
00:54:06,000 --> 00:54:11,000
Speaker 1: the pison talking is to make me laugh. If I

956
00:54:11,080 --> 00:54:14,040
Speaker 1: hear British accent in the wild, immediately think they're in charge.

957
00:54:16,239 --> 00:54:19,640
Speaker 1: That's amazing. All right, let's talk. Can we talk about

958
00:54:19,680 --> 00:54:22,680
Speaker 1: dead Spin real quick? I say, R I p to

959
00:54:22,760 --> 00:54:26,800
Speaker 1: dead Spin so basically all of their editors and writers

960
00:54:27,200 --> 00:54:30,920
Speaker 1: left on the same day. Don't know, a huge sports website,

961
00:54:31,360 --> 00:54:35,280
Speaker 1: sports website, I mean basically the ethos of the site

962
00:54:35,560 --> 00:54:40,399
Speaker 1: was this guy will Leach like a decade ago, probably more,

963
00:54:40,880 --> 00:54:45,880
Speaker 1: uh realized that nobody in the sports world was talking

964
00:54:45,960 --> 00:54:49,960
Speaker 1: about the Michael Vick's story about was it Ron Mexico,

965
00:54:50,160 --> 00:54:53,719
Speaker 1: Ron Mexico, how at planned Parenthood? Yeah, and like how

966
00:54:53,840 --> 00:54:57,839
Speaker 1: he had this alter ego that was giving people her

967
00:54:57,960 --> 00:54:59,959
Speaker 1: pies or something. It was just this like really straight

968
00:55:00,000 --> 00:55:04,279
Speaker 1: in story. But he realized that because the media has

969
00:55:04,360 --> 00:55:08,520
Speaker 1: to work with these athletes and these coaches on a

970
00:55:08,640 --> 00:55:11,800
Speaker 1: daily basis, just like anybody you work with, you're not

971
00:55:11,960 --> 00:55:15,359
Speaker 1: going to be fully objective and say something bad about

972
00:55:15,400 --> 00:55:16,800
Speaker 1: them because you have to see them at work the

973
00:55:16,880 --> 00:55:19,560
Speaker 1: next day. And he was like, well, we'll just hire

974
00:55:20,200 --> 00:55:24,439
Speaker 1: really funny, great writers and like kind of have a punk,

975
00:55:24,520 --> 00:55:28,400
Speaker 1: rocky ethos and cover sports. And it was. It was

976
00:55:28,480 --> 00:55:30,400
Speaker 1: just a really great site that had a lot of

977
00:55:30,719 --> 00:55:33,840
Speaker 1: really funny writing on it. And they first started publishing

978
00:55:33,960 --> 00:55:37,200
Speaker 1: Donaghue's book at dead Spin to like showing us excerts

979
00:55:37,280 --> 00:55:39,000
Speaker 1: before it came out or something. I think there was

980
00:55:39,080 --> 00:55:41,759
Speaker 1: something like that. They also had like some really deep

981
00:55:41,800 --> 00:55:46,280
Speaker 1: reporting occasionally just randomly, but anyways, so they were purchased

982
00:55:46,360 --> 00:55:51,440
Speaker 1: by a venture capital company. The venture capital company was

983
00:55:52,320 --> 00:55:57,120
Speaker 1: hired or installed as CEO the guy who was in

984
00:55:57,280 --> 00:56:00,919
Speaker 1: charge of Forbes dot com. When FOURBS went from being

985
00:56:01,040 --> 00:56:05,080
Speaker 1: like a magazine that you kind of assumed was respected

986
00:56:05,520 --> 00:56:09,480
Speaker 1: to being like blog spam and just like top five

987
00:56:09,760 --> 00:56:13,759
Speaker 1: money ways to get money. Yeah, and just like uh

988
00:56:14,040 --> 00:56:18,920
Speaker 1: slide shows, so that the guy who basically diminished Forbes brand,

989
00:56:19,120 --> 00:56:21,399
Speaker 1: they were like he should be the CEO of dead Spin.

990
00:56:21,800 --> 00:56:24,320
Speaker 1: He came in, it was like only sports and like

991
00:56:24,719 --> 00:56:28,880
Speaker 1: articles should be about this and stop talking about politics,

992
00:56:29,000 --> 00:56:33,440
Speaker 1: and uh just tried to basically turn them into ESPN

993
00:56:33,600 --> 00:56:36,640
Speaker 1: dot com. And I was just doing all sorts of

994
00:56:37,160 --> 00:56:41,360
Speaker 1: shitty things to the staff. And it just seems like

995
00:56:41,719 --> 00:56:45,840
Speaker 1: it's the thing that is happening everywhere, Like we lost

996
00:56:46,040 --> 00:56:49,880
Speaker 1: all these newspapers when the Internet became a thing, and

997
00:56:50,640 --> 00:56:55,440
Speaker 1: it's not being replaced by an equally like diverse and

998
00:56:56,120 --> 00:57:01,160
Speaker 1: extensive online ecosystem media ghost system. I think there were

999
00:57:01,239 --> 00:57:05,440
Speaker 1: people who were willing to, you know, have lost leaders

1000
00:57:05,520 --> 00:57:08,759
Speaker 1: in the past, and you know, just because they knew

1001
00:57:08,880 --> 00:57:13,920
Speaker 1: the media was an important institution. Uh. And now we

1002
00:57:14,080 --> 00:57:17,200
Speaker 1: kind of have the opposite where billionaires will put Gawker

1003
00:57:17,320 --> 00:57:20,560
Speaker 1: out of business for being mean to them. Like so

1004
00:57:20,720 --> 00:57:24,240
Speaker 1: they're like act rather than you know, creating their own

1005
00:57:26,200 --> 00:57:30,479
Speaker 1: works of propaganda, they're just like killing websites and they're

1006
00:57:30,480 --> 00:57:33,800
Speaker 1: also creating their own works of propaganda. But it's a bummer.

1007
00:57:34,000 --> 00:57:36,560
Speaker 1: I mean we kind of saw it happen. It cracked,

1008
00:57:37,080 --> 00:57:40,200
Speaker 1: uh when when they were owned by Scripts and Scripts

1009
00:57:40,240 --> 00:57:42,560
Speaker 1: didn't really know what to do with them, and it

1010
00:57:42,920 --> 00:57:45,120
Speaker 1: happens to a lot of hey can you make more

1011
00:57:45,320 --> 00:57:49,360
Speaker 1: videos for less money? Yeah, there's just every every company

1012
00:57:49,480 --> 00:57:52,400
Speaker 1: in their body. It's like, Okay, this looks good on paper.

1013
00:57:52,880 --> 00:57:55,280
Speaker 1: How do we get this same thing and operate it

1014
00:57:55,360 --> 00:57:57,480
Speaker 1: with half the budget? How do you do a scale?

1015
00:57:57,600 --> 00:57:59,560
Speaker 1: How do you do it at scale? Man? That's no,

1016
00:58:00,040 --> 00:58:02,120
Speaker 1: you have it wrong. We're not thinking like that. That's

1017
00:58:02,160 --> 00:58:05,640
Speaker 1: why this is doing well. That's why this is good. Yeah. Yeah,

1018
00:58:05,840 --> 00:58:10,440
Speaker 1: So I don't know. It seems like back in the day.

1019
00:58:11,160 --> 00:58:13,600
Speaker 1: I think we talked on a show last year about

1020
00:58:13,640 --> 00:58:17,080
Speaker 1: how marketing had sort of taken over the Hollywood like

1021
00:58:17,160 --> 00:58:21,840
Speaker 1: story development, and that's kind of what was killing a

1022
00:58:21,960 --> 00:58:25,840
Speaker 1: lot of theater going and the movies kind of being

1023
00:58:26,200 --> 00:58:30,800
Speaker 1: one dimensional. And it seems like marketing and also people

1024
00:58:30,880 --> 00:58:33,680
Speaker 1: who know even less from the finance side are coming

1025
00:58:33,760 --> 00:58:38,240
Speaker 1: into the website industry and the newspaper industry, and it's

1026
00:58:38,320 --> 00:58:41,800
Speaker 1: just it's gonna be. It's really bad already for our society.

1027
00:58:41,960 --> 00:58:45,560
Speaker 1: Like the just the lack of local news, local reporting,

1028
00:58:46,360 --> 00:58:50,520
Speaker 1: like we're counting on uh, you know, local like social

1029
00:58:50,640 --> 00:58:53,960
Speaker 1: media to fill that void right exactly that we're just like,

1030
00:58:54,080 --> 00:58:55,520
Speaker 1: I don't know what's going on in my neighborhood. Let

1031
00:58:55,520 --> 00:58:58,880
Speaker 1: me see if Twitter knows, or like those horrible websites

1032
00:58:59,000 --> 00:59:01,920
Speaker 1: that are all about like the crimes that are going

1033
00:59:03,160 --> 00:59:05,680
Speaker 1: exactly and just like scaring the ship out of you

1034
00:59:05,800 --> 00:59:08,120
Speaker 1: instead of you know, I got hired by one of

1035
00:59:08,160 --> 00:59:14,960
Speaker 1: those sites to do some of the crimes. Yeah, yeah,

1036
00:59:15,120 --> 00:59:19,200
Speaker 1: pace great. Just putting bleach on people's lawns, cuss words.

1037
00:59:19,240 --> 00:59:21,640
Speaker 1: There's one American family I was doing and I set

1038
00:59:21,680 --> 00:59:23,920
Speaker 1: it up so that they looked like it was one

1039
00:59:23,960 --> 00:59:29,800
Speaker 1: of their children, six year olds the whole time, putting

1040
00:59:29,840 --> 00:59:34,440
Speaker 1: bleach in their coffee. God Montgomery, it's been a pleasure

1041
00:59:34,440 --> 00:59:38,000
Speaker 1: of having you, ma'am. People find you. Please find me

1042
00:59:38,120 --> 00:59:42,640
Speaker 1: online at guy under School mont on Twitter and Instagram.

1043
00:59:43,200 --> 00:59:46,680
Speaker 1: And is there a tweet you've been enjoying. Here's a

1044
00:59:46,760 --> 00:59:51,000
Speaker 1: tweet I thought it was pretty funny from this morning,

1045
00:59:51,800 --> 00:59:55,920
Speaker 1: which was I can't believe. Leonardo DiCaprio yelled I'm on

1046
00:59:56,000 --> 00:59:59,280
Speaker 1: top of the world from the Titanic, a ship that

1047
00:59:59,440 --> 01:00:04,240
Speaker 1: was at sea at sea level, the scientifically lowest altitude

1048
01:00:04,280 --> 01:00:07,120
Speaker 1: in the world. He was nowhere near the top. He

1049
01:00:07,280 --> 01:00:11,960
Speaker 1: was literally at the bottom. What a stupid idiot. And

1050
01:00:12,040 --> 01:00:17,240
Speaker 1: that was by at Rudy Underscore Mustang. All right, Uh,

1051
01:00:17,640 --> 01:00:20,280
Speaker 1: do you have anything else you want to plug? Yeah,

1052
01:00:20,320 --> 01:00:25,880
Speaker 1: I'm actually in this Sunday, November ten at five pm

1053
01:00:25,920 --> 01:00:30,440
Speaker 1: at the Lyric HYPERIOND in Los Angeles. I am doing

1054
01:00:30,720 --> 01:00:34,040
Speaker 1: a solo show. It's an improvised hour of stand up

1055
01:00:34,080 --> 01:00:36,640
Speaker 1: comedy called watch Me and my Huge Muscles get super

1056
01:00:36,720 --> 01:00:42,720
Speaker 1: Ripped for Summer and the assal tickets available improvised and

1057
01:00:43,240 --> 01:00:46,480
Speaker 1: you just yeah, so I've the curtain back. I've just

1058
01:00:46,600 --> 01:00:50,880
Speaker 1: finished touring my last hour long show like the Comedy

1059
01:00:50,920 --> 01:00:53,480
Speaker 1: Fist for the Edinburgh Fringing Melbourne Comedy First from Whatnot,

1060
01:00:53,560 --> 01:00:55,880
Speaker 1: and I'm tired of all of the material within it,

1061
01:00:56,360 --> 01:00:58,760
Speaker 1: so you check it away and then this is part

1062
01:00:58,800 --> 01:01:01,120
Speaker 1: of building a new hour. So I've done this show

1063
01:01:01,480 --> 01:01:05,320
Speaker 1: in Sydney and Oakland and Wellington and you get prompts

1064
01:01:05,320 --> 01:01:07,120
Speaker 1: from the audience so they're right down a word or

1065
01:01:07,120 --> 01:01:09,320
Speaker 1: a phrase or something, and then you just pull them

1066
01:01:09,320 --> 01:01:13,280
Speaker 1: out of the bowl and reference and say it's uh,

1067
01:01:13,440 --> 01:01:19,000
Speaker 1: it's it's definitely cheape and potentially outstanding. Hell yeah, uh,

1068
01:01:19,120 --> 01:01:21,720
Speaker 1: that sounds incredible. Miles Where can people find you? You

1069
01:01:21,840 --> 01:01:28,000
Speaker 1: can find me on Twitter and Instagram at Miles of Gray.

1070
01:01:28,240 --> 01:01:31,479
Speaker 1: Tweet I like is from at crulg uh it says

1071
01:01:31,680 --> 01:01:34,000
Speaker 1: I got into leftist politics the same way as any

1072
01:01:34,080 --> 01:01:36,560
Speaker 1: other thirty one year old by listening to Rags against

1073
01:01:36,560 --> 01:01:39,600
Speaker 1: the Machines Guerilla Radio as it appeared in two thousands

1074
01:01:39,680 --> 01:01:43,080
Speaker 1: Tony Hawk pro Skater too, shortly followed by the War

1075
01:01:43,160 --> 01:01:52,040
Speaker 1: in Iraq. Jesus Christ. Uh some tweets. I've been enjoying

1076
01:01:52,760 --> 01:01:57,640
Speaker 1: zorgas borgas I just got hit by the love bat tweeted,

1077
01:01:57,800 --> 01:02:04,120
Speaker 1: and it's driving me that's vote. Sam Wiles tweeted, Fats Domino,

1078
01:02:04,320 --> 01:02:07,120
Speaker 1: Chubby Checker call me when you play a real legend

1079
01:02:07,200 --> 01:02:12,600
Speaker 1: like lard Ass Tiddley winks uh. And Andrew Farmer tweeted

1080
01:02:12,800 --> 01:02:17,000
Speaker 1: from two thousand and one, I cannot properly express just

1081
01:02:17,360 --> 01:02:21,880
Speaker 1: how healthy I thought son Chips were. You can find

1082
01:02:21,960 --> 01:02:23,800
Speaker 1: me on Twitter at Jack under Squirrel Brian. You can

1083
01:02:23,840 --> 01:02:26,440
Speaker 1: find us on Twitter at daily Ze. Guys were at

1084
01:02:26,480 --> 01:02:29,240
Speaker 1: the daily Zeitgeist on Instagram. We have Facebook fan page

1085
01:02:29,280 --> 01:02:31,480
Speaker 1: on a website. Daily zz geys dot com, where we

1086
01:02:31,600 --> 01:02:35,200
Speaker 1: post our episodes and our footnotes where we link off

1087
01:02:35,280 --> 01:02:37,560
Speaker 1: to the information that we talked about in today's episode,

1088
01:02:38,120 --> 01:02:41,040
Speaker 1: as well as the song we write out on miles.

1089
01:02:41,480 --> 01:02:43,440
Speaker 1: Can you come up with a song that's gonna make

1090
01:02:43,520 --> 01:02:47,560
Speaker 1: Anna not yawn? Yeah? Maybe something that'll maybe bring some

1091
01:02:47,800 --> 01:02:51,040
Speaker 1: life into her, her her spirit, her soul. Uh. This

1092
01:02:51,160 --> 01:02:56,920
Speaker 1: is a track from the Avalanches from Australia. Are they back? Uh? Maybe?

1093
01:02:57,080 --> 01:02:58,800
Speaker 1: I think this is a new so I have not

1094
01:02:58,920 --> 01:03:00,680
Speaker 1: checked up on them in a minute, but it's called

1095
01:03:00,760 --> 01:03:04,000
Speaker 1: the Wizard of is uh and and you know like

1096
01:03:04,120 --> 01:03:07,800
Speaker 1: they like their samples. Also, I remember DJ Dexter, who

1097
01:03:07,960 --> 01:03:12,680
Speaker 1: was in the nine Believe DMC World DJ Championships, had

1098
01:03:12,680 --> 01:03:15,040
Speaker 1: a great set, uh. And that's why I first heard

1099
01:03:15,040 --> 01:03:16,440
Speaker 1: about the Avache as any of that's a bit of

1100
01:03:16,600 --> 01:03:20,520
Speaker 1: su Is that one of the members of the Avalanche? Yeah? Yeah, yeah,

1101
01:03:20,760 --> 01:03:24,400
Speaker 1: DJ dex are just Avalanches, not the Avalanches? Are they

1102
01:03:24,480 --> 01:03:28,760
Speaker 1: the Avalanches? Um? The at they're called vatches. Yes. The

1103
01:03:28,800 --> 01:03:31,400
Speaker 1: song Frontier Psychiatry is one of my favorite songs of

1104
01:03:31,400 --> 01:03:33,760
Speaker 1: all time. That board needs therapy and that's where you

1105
01:03:33,760 --> 01:03:37,400
Speaker 1: hear the beginning was the Dexter Dexter There sample is

1106
01:03:37,800 --> 01:03:41,200
Speaker 1: an illusion or the restaurance to DJ Dexter. Yeah, they

1107
01:03:41,680 --> 01:03:44,880
Speaker 1: like built an entire album just out of like old records,

1108
01:03:45,440 --> 01:03:51,000
Speaker 1: like random like open sample like or or open source samples,

1109
01:03:51,280 --> 01:03:54,520
Speaker 1: and it's like a classic. Yeah. So again DJ dex

1110
01:03:54,560 --> 01:03:56,920
Speaker 1: to DMC World. He does this one part where he

1111
01:03:57,440 --> 01:03:59,240
Speaker 1: puts like a bit of tape on the record, so

1112
01:03:59,360 --> 01:04:03,000
Speaker 1: this one section keeps looping basically by resetting the needle

1113
01:04:03,080 --> 01:04:05,040
Speaker 1: on the grooves, and then he uses that to like

1114
01:04:05,160 --> 01:04:06,840
Speaker 1: do this whole of it. I think it's I think

1115
01:04:06,840 --> 01:04:08,320
Speaker 1: it's one of the best ones. I think crazy one

1116
01:04:08,360 --> 01:04:09,960
Speaker 1: that year. But let's be real, I thought dj X

1117
01:04:10,080 --> 01:04:12,760
Speaker 1: was very beautiful in his set. I've always agreed with

1118
01:04:14,400 --> 01:04:17,320
Speaker 1: The Daily Zigeis does a production of I Heart Radio.

1119
01:04:17,480 --> 01:04:20,520
Speaker 1: For more podcasts from I Heart Radio, visit the I

1120
01:04:20,720 --> 01:04:24,080
Speaker 1: heart Radio app, Apple Podcasts, or wherever you listen to

1121
01:04:24,080 --> 01:04:26,840
Speaker 1: your favorite shows. That's gonna do it for today, guys.

1122
01:04:27,280 --> 01:04:30,080
Speaker 1: We will be back tomorrow. It's more podcast and we'll

1123
01:04:30,120 --> 01:05:01,720
Speaker 1: talk to you that hells Well, she black Water Well

1124
01:05:01,840 --> 01:05:03,880
Speaker 1: to hell Iyes, hold ope and stack up and if

1125
01:05:03,920 --> 01:05:06,080
Speaker 1: I ain't Burt for Kills Will Counties that make my

1126
01:05:06,240 --> 01:05:07,480
Speaker 1: Jill bell, like something