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Speaker 1: Hello the Internet, and welcome to this episode of The

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Speaker 1: Weekly Zeitgeist. These are some of our favorite segments from

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Speaker 1: this week, all edited together into one NonStop infotainment last stravaganza.

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Speaker 1: Uh yeah, So, without further ado, here is the Weekly Zeitgeist. Really,

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Speaker 1: we are thrilled to be joined by a real dick,

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Speaker 1: real real jerk who we're not gonna take it from,

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Speaker 1: probably the most hated his small New Zealand shit. He

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Speaker 1: is the hilarious, the talent to the legendary guy Montgomery

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Speaker 1: wanted to be. Here is a man on the ground

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Speaker 1: chicken into heaven like Mike and shut my mad lads

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Speaker 1: are doing okay, the mad lads. I cannot I just

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Speaker 1: cannot believe how, just as a you know, binary, looking

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Speaker 1: at the US and New Zealand, how different things are going.

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Speaker 1: Because the latest the news story I woke up to

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Speaker 1: yesterday this morning was that, yeah, New Zealand's economy has

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Speaker 1: bounced back in the third quarter, surges out of recession

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Speaker 1: in V shaped recovery. Like it's all happening, it's all come,

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Speaker 1: everything's coming up kiwi right now. That's right, And I

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Speaker 1: would like to exceed me a huge amount of responsibility

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Speaker 1: for that injecting what limited disposed by income I have

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Speaker 1: to your local cafes, occasional flights to different cities, you know,

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Speaker 1: domestic tourism if you will. Yeah, it is life as

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Speaker 1: usual in New Zealand. And I will say I'm honored

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Speaker 1: and flatted that you guys checking in with news really

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Speaker 1: has America bothered to keep their finger on the thrumbing

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Speaker 1: posts of the things of alter on New Zealand. And

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Speaker 1: then now you guys are schooled up, and you know

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Speaker 1: this is maybe a first in um transnational relations. But

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Speaker 1: I barely know what's going on over there, fellas. I

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Speaker 1: gotta tell you the amount of American like pretty much

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Speaker 1: since your election, remember that really efficient little piece of

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Speaker 1: democracy you guys exercised over there, But since the outcome

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Speaker 1: of that, it's just been like, it's like the entire

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Speaker 1: nation has just been slowly turning the dial down on

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Speaker 1: the US to the point that like if I skim

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Speaker 1: read the local newspapers or generally the news, you guys,

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Speaker 1: it's like it's it's really odd. I hadn't actually thought

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Speaker 1: about it, but there, I mean, and I think part

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Speaker 1: of it is that Trump's not been given the oxygen.

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Speaker 1: He once was sort of like this low level throumming

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Speaker 1: anxiety even from down here, has just has just been

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Speaker 1: shown the door. Yeah, I think it's coming east. Being

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Speaker 1: too much of a bummer to tell people about, Like, yeah,

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Speaker 1: you know that that thing, that dumpster fire. Still somehow

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Speaker 1: the flames are getting bigger. I thought, yeah, how there

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Speaker 1: was Yeah, there was the analogy. I thought during your

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Speaker 1: election it was like America was voting between a massive

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Speaker 1: kerasene fire and a bucket of water. You guys voted

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Speaker 1: for the bucket of water, but it's not a big

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Speaker 1: enough bucket. But yeah, I'm talented New Zealand for sure.

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Speaker 1: Is this a return to what things were like before

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Speaker 1: the Trump administration? Or is this even quiet for New

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Speaker 1: Zealand's honestly, the way that the way that we are,

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Speaker 1: the way that people consume using information now, I cannot

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Speaker 1: cast my mind back that far from relevant comparison before.

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Speaker 1: It feels um. I haven't spoken to people in America

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Speaker 1: for or actually been on a zoom call with people

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Speaker 1: in America for a while, and it is a It

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Speaker 1: is um because it's hard to not sound like a

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Speaker 1: total ass. I've been talking about life in New Zealand.

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Speaker 1: But it's just like, yeah, you're just you're just doing

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Speaker 1: your You're doing your business. You know, you're out and

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Speaker 1: about your doing your business, and you don't have the

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Speaker 1: same volume of time in which you're just looking at

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Speaker 1: a computer for new information about what's happening, and so

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Speaker 1: I feel less informed. And honestly, that was it was

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Speaker 1: really good. It was really good. Fuck you man, do

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Speaker 1: we do we look a little more dead behind the

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Speaker 1: eyes than the people you've been interacting with on a

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Speaker 1: daily basis over there. Yeah, the energy is a little different. Yeah,

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Speaker 1: but it's it's it's it's great to be here, and

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Speaker 1: you know, like it's it's a it's a process. But

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Speaker 1: surely you've gotta be you gotta feel as though you're

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Speaker 1: turning some some sort of corner. The numbers are hard

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Speaker 1: and you're going into winter. Yeah, but we're turning the

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Speaker 1: corner in the wrong direction. But it's like you've got

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Speaker 1: the knowledge this must be the worst corner. And then

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Speaker 1: you think we'll once we around this corner, surely, well

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Speaker 1: mild corner. And then we realized we're in a maze

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Speaker 1: of brutality. We're like, wait, they're just it's just all

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Speaker 1: corners and each one worse than they let last. And

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Speaker 1: then you wake up the next morning and you're Jack

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Speaker 1: Nicholson from from the Shining just frozen solid exactly. Yeah, well, guy,

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Speaker 1: we you're giving us life. We appreciate you giving us

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Speaker 1: a little beam of sunshine from my New Washington. Yes. Uh,

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Speaker 1: you know they'll be they'll be overwhelmed to hear that.

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Speaker 1: I know. It took me. Took me a while for

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Speaker 1: to build the courage to say that on Mike, but

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Speaker 1: I did. Yeah, what is something from your search history

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Speaker 1: that's revealing about who you are? Um? I searched recently

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Speaker 1: U for pregnant woman hormones UM, which that is Uh,

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Speaker 1: it's something that my wife is going through right now.

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Speaker 1: So we were we're do in April. So I just

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Speaker 1: wanted to, you know, search that and see what kind

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Speaker 1: of things go on with that, if it's a normal thing,

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Speaker 1: how to deal with. But the stuff that's in Google

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Speaker 1: is not very helpful. It's just like be funny, be caring.

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Speaker 1: It's just like al right, well you know I try

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Speaker 1: to do that like right before I can do yeah, Like,

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Speaker 1: do you have any direct line connections to improve the mood? Right?

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Speaker 1: So you did the crude dude Google search version of

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Speaker 1: what to expect when you're expecting. When you're like, yeah,

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Speaker 1: pregnant woman hormones? What do I deal with my wife's hormones?

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Speaker 1: I don't get it. I'm just a simple man. I

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Speaker 1: don't know what you're doing yet. We're five months out.

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Speaker 1: I guess I'll acknowledge what's going on here here we go.

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Speaker 1: I guess I should like a book or something, but

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Speaker 1: I don't know. Yeah, congrats man on your thank you. Yeah,

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Speaker 1: first first kid? Was that? Was that a thing? A

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Speaker 1: planned pregnancy within quarantine? I knew people who were like

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Speaker 1: looking at it, like, well, this is a sustained period

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Speaker 1: where I might be able to be around for a

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Speaker 1: long time, So should we have a child? Did that

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Speaker 1: enter the thing or was this something that you were

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Speaker 1: just always always happening or did pandemic ha anything to

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Speaker 1: do well? We I mean definitely the pandemic had a

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Speaker 1: factor in the timing of it, for sure, because we

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Speaker 1: we did planned, because we were like I'm usually out

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Speaker 1: touring and on the road like a lot of weekends

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Speaker 1: of the month, and right now I've been home more

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Speaker 1: than I ever have, and I probably will be going

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Speaker 1: into you know, the new year and stuff like that

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Speaker 1: more than usual. And we were like, okay, I'll be

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Speaker 1: here more like this is one of those things where

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Speaker 1: if I was on the road all the time, like

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Speaker 1: that's just that's kind of hard for her while she's

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Speaker 1: pregnant and experiencing that, you know what I mean. So

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Speaker 1: we kind of figured if we did it when we

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Speaker 1: did it and uh, that it would be beneficial for

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Speaker 1: for us both um and be the most helpful for

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Speaker 1: her like along the way, so that way I'm not

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Speaker 1: just like gone and then she's just like dealing with

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Speaker 1: like everything while being pregnant. So yeah, but she's been

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Speaker 1: She's been great through the process. Even though I'm googling

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Speaker 1: hormones and stuff. It's it's more just like it's it's

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Speaker 1: a foreign thing to me because like we're both pretty

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Speaker 1: even keel people. So it's just like an adjustment, like Okay,

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Speaker 1: this is like a this is like part of it.

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Speaker 1: It's like a thing. Yeah, nice. Yeah, it's good to

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Speaker 1: just know what what to expect throughout. I should have

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Speaker 1: got that book. I should have got to expect when

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Speaker 1: you're expecting comfortable for for women towards the end of

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Speaker 1: the Yeah, that's what I've been reading and hearing about

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Speaker 1: sleeping gets difficult. M Yeah, get that body pillow. I

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Speaker 1: mean yeah, I do highly recommend the body pillow. Yeah,

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Speaker 1: me too. I just I'm a side sleeper and I

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Speaker 1: learned that tip from my home girl that was pregnant. Yeah,

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Speaker 1: she was like, you might want to dry body phil

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Speaker 1: because I remember it's like, hey, what's that thing. She's like,

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Speaker 1: it's because I'm pregnant and it helps me sleep more

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Speaker 1: comfortably because my body is all growing in different directions.

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Speaker 1: I was like, huh. I was like, how do you

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Speaker 1: think that work for me? Yeah? You're like you done

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Speaker 1: with that thing? Or can I buy that all? Yeah?

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Speaker 1: Exactly the second the child was born, I'm like, hey, man,

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Speaker 1: I'm coming to get that body pillow really quick. Yeah.

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Speaker 1: She's like, you don't want to say hi to the child? No,

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Speaker 1: no, no no, no kid, give me the pillow during this pregnancy.

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Speaker 1: Are you are your families based in l A Or

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Speaker 1: do you have is your are your family is like

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Speaker 1: on completely other parts of the country, because I know

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Speaker 1: that's another thing a lot of people have been sorting through. Yeah,

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Speaker 1: so her family's in northern California. It's about five six

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Speaker 1: hour drive away, so if they need to come into town,

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Speaker 1: it's not crazy, but it's still you know, a bit.

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Speaker 1: But my family is back in Kansas, so that's either

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Speaker 1: a very very long drive it's like a twenty five

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Speaker 1: hour drive, or it's you know, a flight home. So yeah, yeah,

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Speaker 1: we're gonna try once the baby is born to stagger

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Speaker 1: their visits and stuff. Hopefully this stuff with covides chilled

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Speaker 1: out a little bit and everybody's a little bit more healthy,

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Speaker 1: and you know, we got four or five months away,

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Speaker 1: so we'll see. I'm hopeful we'll see. And I like

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Speaker 1: that we just needed till covid to chill out. Yeah,

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Speaker 1: it's like take it, take a chill pill covid. Come on, bro,

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Speaker 1: fuck we get it. Okay, we get its point made.

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Speaker 1: Now you're just rubbing it in at this point. You're

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Speaker 1: a sore loser at this point. Yeah, God, what is

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Speaker 1: something you think? It is? Overrated? Billionaires donating money? I

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Speaker 1: think they get so much credit and nobody ever donates

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Speaker 1: more than they have like increased their wealth. I just

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Speaker 1: saw that UM story today about Mackenzie what's your faces? Yeah,

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Speaker 1: so she had given six billion dollars this year to charity,

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Speaker 1: and they're like, isn't this incredible? And in Forbes she

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Speaker 1: was listed in July as um having thirty billion dollars,

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Speaker 1: and then in September this is this year. In September

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Speaker 1: she had sixty sixty eight billion dollars um and then

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Speaker 1: so she gave away four billion in that time. It's like,

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Speaker 1: thank you. And she said her goal was to give

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Speaker 1: away half of her money, which is hilarious for a

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Speaker 1: person with sixty eight billion dollars to say that she

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Speaker 1: only wants to give away half of it. And also,

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Speaker 1: how can you say that and then give away such

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Speaker 1: a smaller percentage of what you made, half of what

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Speaker 1: half of your future earnings. It's just not money, Nick,

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Speaker 1: you got four billion dollars laying around, That's what I thought.

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Speaker 1: So you know, it is a lot of money. And

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Speaker 1: she does this for literally no work. She owns four

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Speaker 1: percent of Amazon on and just that she gets in

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Speaker 1: this time, she's gotten a billion dollars every three days.

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Speaker 1: I mean she I would say she probably did it

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Speaker 1: for more work in terms of more work than Jeff Bezos,

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Speaker 1: because she had to be married to that motherfucker for

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Speaker 1: that many years, but uh I do like these yes,

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Speaker 1: totally certain point. You're kind of like, let me look

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Speaker 1: at that flock man, if I run this out a

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Speaker 1: few more years, I can get half this bit. Literally

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Speaker 1: everyone else in the world didn't marry him, so I'm

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Speaker 1: not we all managed to do that. But the two

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Speaker 1: things that they love doing is getting credit for giving

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Speaker 1: away their money and sheltering the funk out of their

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Speaker 1: money from from the government, from any like having to

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Speaker 1: pay taxes, which is where it should actually be going. Like, yeah,

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Speaker 1: the government will gladly take half of your money. They

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Speaker 1: take half of a lot of people's money. Uh, who

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Speaker 1: can't afford to fucking like put it in a tax

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Speaker 1: shelter off off of offshore or whatever. Um So at

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Speaker 1: the very least I wanna, um, I submit to the

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Speaker 1: zeit gang. Let's uh, let's let's stop using Amazon. Boycott Amazon.

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Speaker 1: Nick Turner said it, and when they kill me, look

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Speaker 1: back to this episode of TDZ. Amazon is really the worst.

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Speaker 1: It's bad. I've I've I started boycotting last year and

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Speaker 1: it's incredibly difficult. Yeah, I think that's probably boycotting this

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Speaker 1: year and having to pay like thirty dollar shipping on something. Um,

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Speaker 1: but you know what probably stopped ads to then now audible.

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Speaker 1: On the other hand, yeah, I love the Washington Post

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Speaker 1: to look, it's not all terrible. Anyways, we do want

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Speaker 1: to get to Kirk Cameron real quick because he's uh,

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Speaker 1: he's part of the you know, let's do something for

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Speaker 1: the holidays and own the libs a situation. Yeah, why,

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Speaker 1: you know, why why do this? This the Growing Pains

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Speaker 1: guy that I only remembers, the Growing Pains guy. Uh,

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Speaker 1: he is attempting relevance yet again, but this time it's

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Speaker 1: specifically to troll Governor Gavin Newsom. Now, look, well, I

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Speaker 1: love to troll the funk out of like Gavin Newsom. Also,

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Speaker 1: you know, please let me have Kamala Harris's Senate seat

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Speaker 1: or Diane Feinstein's Gavin Newsom, let's talk. Um. This is

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Speaker 1: a very specific take that they're they're going down this

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Speaker 1: battle with him that they want to do, which is

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Speaker 1: about you know, why are they stopping you know, the

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Speaker 1: congregations of people just because there's a pandemic that's transmitted

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Speaker 1: through the air and enclosed spaces and could lead to death.

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Speaker 1: I don't understand why they would ask us to do that. Nay,

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Speaker 1: why would they make this a law or say that

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Speaker 1: we have to do this. So this dude has been

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Speaker 1: doing some outdoor caroling. Uh, just like full on meet

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Speaker 1: me out a parking lot. I'm gonna set up some

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Speaker 1: p a s and we'll just yell into each other's

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Speaker 1: mouths in the cold. And he did the like he's

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Speaker 1: I think the second one happened recently in Thousand Oaks

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Speaker 1: at the Oaks Mall parking lot, and they were just

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Speaker 1: the photos were like yo, this is interesting, like no

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Speaker 1: masks and and and singing. Um. Sure the police were

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Speaker 1: called in which they just came up, didn't give any

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Speaker 1: citations and just sort of like you guys should wear

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Speaker 1: masks and they're like boo and then they left. So uh,

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Speaker 1: this is all again so camera or Kirk Cameron control

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Speaker 1: the governor and like like not even giving a funk

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Speaker 1: about these people. Like sure, he's gonna bait these people

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Speaker 1: in with the promises of like hey, get your holiday,

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Speaker 1: jolly's off with everybody, and like we can sing like

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Speaker 1: you know, falla la la la and all that ship.

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Speaker 1: But really he's just doing that behind the scenes. He's like,

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Speaker 1: oh yeah, man, this is just fun. Yeah, right. Oh, yeah,

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Speaker 1: I wear a mask and I will be seventy feet

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Speaker 1: away looking through binoculars. That's how camera was experiencing. Yeah,

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Speaker 1: but try and explain bananas without agreeing with Kirk Cameron's worldview.

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Speaker 1: Have you ever seen that video of him being like, oh,

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Speaker 1: you don't think God exists? And then he holds up

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Speaker 1: a bananas like explain this. It's like, uh wait, so

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Speaker 1: the logic being like, wait, what is that mean? It's

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Speaker 1: too perfect of a creation for a man to have

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Speaker 1: created it, even though like basically all fruits that we

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Speaker 1: consume these days have just been genetically modified and like

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Speaker 1: by man, Yeah, by man. Bananas were the size of

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Speaker 1: your pinky finger before humanity started, just like breeding all

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Speaker 1: the biggest ones together. And now we don't even have

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Speaker 1: like bananas that like our our elders used to. Yeah,

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Speaker 1: like we've got like we have like one banana on

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Speaker 1: earth now, Thanks Kirk Cara, Thanks God or God Santo

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Speaker 1: or mon Santo wherever funk you are, Uh, shout out

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Speaker 1: to that one banana doing all that work? Though, great,

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Speaker 1: great food? How well? I mean do you think Kirk

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Speaker 1: Camera smokes weed that feels like a but that is

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Speaker 1: look at this banana, like, I feel like he smoked

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Speaker 1: weed once and saw God a guy who smoked weed

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Speaker 1: on I feel like coming from Oh yeah, yeah, he

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Speaker 1: met a white dude, a white pastor with dreadlocks who's

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Speaker 1: like a Christian like pastor, and he was just like,

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Speaker 1: I don't know if you thought about a banana, Kirk, Like,

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Speaker 1: it's it seems like chaos on the outside and it

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Speaker 1: doesn't make sense, but when you peel it, it has

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Speaker 1: the vital essences of things we need, like potassium and

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Speaker 1: vitamins and and and the fibers we need for our bodies,

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Speaker 1: sort of like Christ's love and salvation. From the outside,

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Speaker 1: it may look like this one thing, but you really

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Speaker 1: have to engage of that to understand it's nourishment. Kirk. Alright,

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Speaker 1: I'm in Actually, I'm gonna be at the that was

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Speaker 1: actually good. Yeah, I'll be that. I'll be a Hillsong

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Speaker 1: with Justin Bieberrow this Sunday. Where am I white outfit? Yeah?

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Speaker 1: Oh yeah, because that dude was He said God was

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Speaker 1: like making him cheat on his wife or some ship

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Speaker 1: at tempted him and he fell down on the job. Yeah,

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Speaker 1: it was cool. Glasses. All right, let's take a quick

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Speaker 1: break and we'll be right back, and we're back. A

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Speaker 1: story that was kind of unimaginable, probably even a couple

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Speaker 1: of years ago, is now. I don't know, hopefully this

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Speaker 1: isn't the new normal, But there is a former police

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Speaker 1: captain who deputed was deputest, was funded with a quarter

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Speaker 1: million dollars to try to track down the imaginary scheme

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Speaker 1: that stole the election from Trumpact of this man is

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Speaker 1: a fucking patriot, thank you doing round the clock surveillance

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Speaker 1: on the kingpin mastermind of a seven hundred fifty thousand

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Speaker 1: fake absentee ballots scheme. Okay, and he tried to fucking

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Speaker 1: tell everyone this man it's like Mark, Mark Anthony, and

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Speaker 1: Geary he was he's like sixty three. He was watching

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Speaker 1: this person who he believed with others in this group

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Speaker 1: of patriots to figure out if this was the kingpin

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Speaker 1: of this fake ballot scheme. They one day, this man

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Speaker 1: leaves for work, Geary follows him, like crashes into his

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Speaker 1: car to force the guy to pull over. When the

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Speaker 1: man comes out, pulls a fucking gun out and holds

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Speaker 1: him at gunpoint, gets him on the ground, puts a

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Speaker 1: knee to his back, and while some other goons hopped

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Speaker 1: out take the guy's work van and take off with it.

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Speaker 1: When the cops come, all to find out this guy

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Speaker 1: is just a air conditioning repair technician, nothing more. He

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Speaker 1: is just a man who lived in a like a

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Speaker 1: like a mobile home park or something where this guy

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Speaker 1: was tailing him. And they decided this was the guy

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Speaker 1: who had a bunch of ballots in his van, which

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Speaker 1: is why they tried to get him when he was

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Speaker 1: in his work van, only to find the normal things

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Speaker 1: that a fucking a c repair tech would have in

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Speaker 1: their van. And when the cops came, they were like, Yo,

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Speaker 1: what the funk are you doing? And the this guy

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Speaker 1: a geary told the officer that arrives like, look, man,

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Speaker 1: you can be on the right side of history of

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Speaker 1: the wrong side, man, but I'm telling you this guy's

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Speaker 1: blah blah blah blah blah. And they're like, okay, sir,

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Speaker 1: like you're under arrest, Like what the funk is this?

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Speaker 1: This is like false imprisonment, like all kinds of ship

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Speaker 1: you're coming with us, And and the thing that you're

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Speaker 1: talking about jack the quarter million dollars. Yes, this guy

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Speaker 1: was fucking funded to do this work. To the tune

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Speaker 1: of over two hundred sixty thousand dollars. He got a

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Speaker 1: two hundred eleven thousand dollar payment the day after this

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Speaker 1: confrontation took place, just directly wired into his kind of

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Speaker 1: like what the Everyone's like, what the fund is this money? Uh.

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Speaker 1: It turns out he's saying, I'm working for the Liberty Center. Uh,

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Speaker 1: and this is a thing that's funded by this guy,

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Speaker 1: Steve Hoates, who was a huge mega donor to the

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Speaker 1: GOP and he was basically you know how before the

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Speaker 1: election we were talking about how they were a hundred

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Speaker 1: and twenty seven thousand ballots in Harris County that were

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Speaker 1: like the Republicans are trying to sue to get invalidated

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Speaker 1: because this drive through Vote center he was. He was

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Speaker 1: funding that legal battle, amongst many others. He was going

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Speaker 1: all out to try and you know, funck the election

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Speaker 1: up and also find evidence of fraud. This was his

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Speaker 1: big thing. The Liberty Center's Facebook group was all about

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Speaker 1: We're gonna find this fraud. They were asking people on

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Speaker 1: their website being like, you please give us money. We

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Speaker 1: have all these investigations going. They cost like two hundred

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Speaker 1: thousand dollars, a very specific number per investigation. We need

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Speaker 1: this money, and this is where we're at. And you know,

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Speaker 1: apparently this man a Geary was telling law enforcement at

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Speaker 1: every level. He asked the attorney general of the state,

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Speaker 1: he like, the heads of police departments, the Texas Rangers, saying,

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Speaker 1: this guy's got ballance. Man, I'm watching them, you gotta

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Speaker 1: help me out with this. And they're all like, please

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Speaker 1: stop calling here, Like you can't just call in a

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Speaker 1: fake crime and expect us to fucking go do something

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Speaker 1: about it. And he was pleading with them, which kind

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Speaker 1: of brings me to an interesting point, which is what

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Speaker 1: happens when you if you're in law enforcement and someone

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Speaker 1: is so insistent that a crime is occurring, and them

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Speaker 1: saying that they are also investigating, Like, at what point

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Speaker 1: is their responsibility to try and figure out? Wait, hold on,

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Speaker 1: are you just gonna harass somebody who's not doing a

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Speaker 1: fucking thing because you're hopped up on like news Max

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Speaker 1: and o A n conspiracy bullshit. So yes, that is

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Speaker 1: a weird thing, and I hope this is not the

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Speaker 1: new normal, but it feels like some ship as we

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Speaker 1: get closer to January twenty and these people like on

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Speaker 1: the full Trump Mago World Train are like, oh man,

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Speaker 1: he's really gonna pull a switcher ru on him on

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Speaker 1: January nineteenth, Like, come on, bro, Dad went to get

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Speaker 1: cigarettes and is not coming back. It's it's truly wild

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Speaker 1: how much just you know, Republican donors are able to

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Speaker 1: manipulate the reality of of people who are in the

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Speaker 1: thrall of of that party like that. This reminds me

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Speaker 1: for some reason of the whole Tea Party movement and

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Speaker 1: just uh, you know, five ten years on reading what

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Speaker 1: was actually going on with the Tea Party movement being

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Speaker 1: you know, billionaires funding the whole thing and like doing

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Speaker 1: grassroots organizing to get these people to do their bidding.

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Speaker 1: It's also this is the charities that they are donating to.

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Speaker 1: This is when they say, I didn't know donated five

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Speaker 1: billion dollars. It's to and to Liberty, the Liberty Center. Yeah,

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Speaker 1: liberty has had such a bad run, just like from

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Speaker 1: a PR perspective, the word liberty yeah fuck, I mean

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Speaker 1: even the yeah, ever since Rebecca Lobo left, I mean,

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Speaker 1: the Liberty ain't been right. Um, but yeah, I don't

405
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Speaker 1: know you know where this goes, how this evolves. But

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Speaker 1: it's truly like this weird, Like you know, these mega donors,

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Speaker 1: they get off on just being like, I think I

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Speaker 1: can get a bunch of like poor, useful stooges to

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Speaker 1: like so chaos and I can kind of be like, yeah,

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Speaker 1: watch me do that ship with money or other people's money,

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Speaker 1: rather than like substantively trying to actually like winning election,

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Speaker 1: like you know, get more people out there to try

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Speaker 1: and do some you know, door knocking or whatever. It's like, na, na,

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Speaker 1: I'm gonna get a guy who is a cop to

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Speaker 1: basically act like a fucking Steven Seagal character and maybe

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Speaker 1: he'll manufacture some evidence of fraud and I don't care,

417
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Speaker 1: but fuck it, Like, let's just do that. That's fun.

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Speaker 1: I can do that with my money. America just needs

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Speaker 1: the very the slightest stuff pushes to become violent, like

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Speaker 1: you know, um right wing idealized like that. That's you're

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Speaker 1: just helping them do what they already want to do

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Speaker 1: in this and a lot of experts are saying this

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Speaker 1: whole rejection of the election results is basically like they're

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Speaker 1: just saying, Oh, this is what they're doing, is they're

425
00:25:34,680 --> 00:25:39,080
Speaker 1: accelerating radicalization of the party by doing that. It's not

426
00:25:39,160 --> 00:25:42,080
Speaker 1: just oh wow, they're they're not giving us like no, no, no,

427
00:25:42,119 --> 00:25:44,080
Speaker 1: like even whether or not they know it or if

428
00:25:44,119 --> 00:25:46,960
Speaker 1: it's intentionals, like the fact that the party line is

429
00:25:47,000 --> 00:25:50,639
Speaker 1: now saying we're against reality is the one of the

430
00:25:50,800 --> 00:25:54,120
Speaker 1: you know, it's a huge step towards fully radicalizing everything.

431
00:25:54,119 --> 00:25:55,879
Speaker 1: And it's not like trump Ism, it's more just like

432
00:25:55,920 --> 00:25:58,399
Speaker 1: GOP is just going like mask off with it, because

433
00:25:58,400 --> 00:26:02,320
Speaker 1: the Trump is Um narrative is kind of like more

434
00:26:02,359 --> 00:26:04,840
Speaker 1: than like I think he was just the dude at

435
00:26:04,840 --> 00:26:06,880
Speaker 1: the concert, the first dude at the concert to smoke

436
00:26:06,920 --> 00:26:08,879
Speaker 1: a blunt inside when the security is like a no

437
00:26:09,000 --> 00:26:11,920
Speaker 1: smoking inside, and everyone's like, oh, we can smoke in here, okay, Yeah,

438
00:26:12,160 --> 00:26:14,840
Speaker 1: because I was on that ship anyway too. That's basically

439
00:26:14,880 --> 00:26:16,960
Speaker 1: what's happened. Not that Trump is anything new, it's just

440
00:26:17,000 --> 00:26:19,640
Speaker 1: like he's just he's sparked up if before everybody else did,

441
00:26:19,680 --> 00:26:23,080
Speaker 1: and everybody else knew what time it was, Yeah, it

442
00:26:23,160 --> 00:26:27,600
Speaker 1: was remarkable. Way after even after Mitch McConnell acknowledged Biden

443
00:26:27,600 --> 00:26:32,720
Speaker 1: as president elect, there's still two stors and congressmen, uh,

444
00:26:32,760 --> 00:26:36,480
Speaker 1: congress people, excuse me, Republican who have yet to acknowledge it.

445
00:26:36,840 --> 00:26:41,560
Speaker 1: Um and I just wonder what would people be doing

446
00:26:42,119 --> 00:26:45,760
Speaker 1: if there wasn't like just these people whose lives are

447
00:26:45,840 --> 00:26:48,960
Speaker 1: spent doing Q and on Proud Boy bullshit, Like what

448
00:26:49,320 --> 00:26:52,000
Speaker 1: if that was not there and no one had tricked

449
00:26:52,040 --> 00:26:54,240
Speaker 1: them and going up to a fun party once where

450
00:26:54,240 --> 00:26:57,320
Speaker 1: it turned into ruin their lives, Like, uh, it's just

451
00:26:57,359 --> 00:27:02,160
Speaker 1: such a fucking waste of time and energy and lives,

452
00:27:02,200 --> 00:27:06,240
Speaker 1: Like it's just a waste of lives, a ruiner of

453
00:27:06,320 --> 00:27:11,520
Speaker 1: family relationships, and yeah, when you're so much unseen damage

454
00:27:11,520 --> 00:27:13,919
Speaker 1: being done, it's hard. I get it just as a

455
00:27:13,960 --> 00:27:16,960
Speaker 1: sports fan, right, Like one of my team's arsenal is

456
00:27:17,200 --> 00:27:21,640
Speaker 1: fucking up right now. They are comically bad. But like,

457
00:27:21,920 --> 00:27:25,040
Speaker 1: rather than read the posts that are like analyzing why

458
00:27:25,119 --> 00:27:28,280
Speaker 1: it's so bad, even though they're objective analyzes of like

459
00:27:28,359 --> 00:27:31,399
Speaker 1: what's going wrong, I'd rather read the article where the

460
00:27:31,760 --> 00:27:34,200
Speaker 1: staff at the club are saying, yeah, we're actually we're

461
00:27:34,240 --> 00:27:37,000
Speaker 1: we expected all of this turbulence right now, and it's

462
00:27:37,040 --> 00:27:38,960
Speaker 1: all part of the plan because you've gotta we gotta

463
00:27:38,960 --> 00:27:41,040
Speaker 1: get through this to reach the next evolution. Like it's

464
00:27:41,160 --> 00:27:42,840
Speaker 1: it's like an equivalent where it's like I don't want

465
00:27:42,880 --> 00:27:46,000
Speaker 1: the objective or like just make me feel good or

466
00:27:46,480 --> 00:27:48,920
Speaker 1: like less bad about the thing that I'm so attached

467
00:27:48,960 --> 00:27:52,440
Speaker 1: to being bullshit or at least on some like very

468
00:27:52,560 --> 00:27:55,000
Speaker 1: humanistic you know, like that's just our need to never

469
00:27:55,080 --> 00:27:58,080
Speaker 1: feel like we're fully losing or you know, because we

470
00:27:58,080 --> 00:28:00,080
Speaker 1: we have this like sort of binary of winning are

471
00:28:00,160 --> 00:28:03,000
Speaker 1: losing in our minds, especially with politics, that it just

472
00:28:03,040 --> 00:28:05,199
Speaker 1: turns into this thing was like whine fucking losing. So

473
00:28:05,280 --> 00:28:08,480
Speaker 1: if I'm not losing, then I'm choosing to follow que

474
00:28:10,200 --> 00:28:12,800
Speaker 1: truck Nuts are not the only thing that's in short supply.

475
00:28:13,520 --> 00:28:19,959
Speaker 1: Bregsit has people across the pond as the as the

476
00:28:20,000 --> 00:28:25,879
Speaker 1: media cliche goes, people in England are concerned about you know,

477
00:28:25,960 --> 00:28:30,520
Speaker 1: they're they're going to have shortages. Um, yeah, because they

478
00:28:30,560 --> 00:28:32,159
Speaker 1: want to break up with the EU. They want to

479
00:28:32,560 --> 00:28:35,040
Speaker 1: around and now they're like, well we still need to

480
00:28:35,080 --> 00:28:37,520
Speaker 1: they still need to sort out a trade deal because

481
00:28:37,560 --> 00:28:40,840
Speaker 1: they're like, okay, maybe politically we're not aligned, but like

482
00:28:40,960 --> 00:28:43,800
Speaker 1: trades a huge thing and like we need stuff from y'all,

483
00:28:43,840 --> 00:28:47,360
Speaker 1: and like we're an island, So what's going on right

484
00:28:47,360 --> 00:28:50,080
Speaker 1: now that has not been figured out? And if there's

485
00:28:50,080 --> 00:28:52,720
Speaker 1: like a straight up no deal BREGSIT on that it's

486
00:28:52,760 --> 00:28:55,720
Speaker 1: going it could be. It could lead to shortages, price

487
00:28:55,800 --> 00:28:59,080
Speaker 1: hikes on certain things. But it kind of really underlines

488
00:28:59,320 --> 00:29:02,760
Speaker 1: just how my to you know, the global economy, you know,

489
00:29:03,320 --> 00:29:05,920
Speaker 1: and how much we rely on other countries for certain

490
00:29:05,920 --> 00:29:08,840
Speaker 1: imports and things like that. Because if they don't have

491
00:29:09,000 --> 00:29:10,680
Speaker 1: a deal in place with the EAR, they're gonna have

492
00:29:10,720 --> 00:29:13,440
Speaker 1: to like revert to like World Trade Organization norms or

493
00:29:13,480 --> 00:29:16,040
Speaker 1: there's like certain tariffs on things, and that could really

494
00:29:16,120 --> 00:29:19,720
Speaker 1: change things for people in the UK. Things that okay,

495
00:29:19,720 --> 00:29:21,600
Speaker 1: so if they don't figure out a deal, these are

496
00:29:21,640 --> 00:29:23,400
Speaker 1: some of the things that people in the UK will

497
00:29:23,440 --> 00:29:24,880
Speaker 1: have a lot of trouble and not a lot of

498
00:29:24,880 --> 00:29:28,480
Speaker 1: trouble getting, but pay more. Yeah, it could be a

499
00:29:28,520 --> 00:29:33,360
Speaker 1: little pricey. For example, pizza dough is made from wheat,

500
00:29:33,440 --> 00:29:36,920
Speaker 1: very varieties that they have to get from other places,

501
00:29:37,240 --> 00:29:41,880
Speaker 1: avocados and bananas. Most of that ship is imported. So

502
00:29:42,000 --> 00:29:46,400
Speaker 1: that's another thing that ever happy millennials will starve to death.

503
00:29:46,560 --> 00:29:48,520
Speaker 1: I mean, let's be real, if there is no avocado,

504
00:29:48,600 --> 00:29:51,480
Speaker 1: toast or diamond industries for them to ruin and so

505
00:29:51,640 --> 00:29:54,520
Speaker 1: you're messed with my pizza. Now this is getting seriously

506
00:29:55,400 --> 00:29:59,360
Speaker 1: what about ham? You can't get ham if you're in

507
00:29:59,440 --> 00:30:01,520
Speaker 1: the UK because a lot of the good ham like

508
00:30:01,560 --> 00:30:04,000
Speaker 1: the loins and things like that are coming from across

509
00:30:04,080 --> 00:30:08,240
Speaker 1: the like from the EU. Broccoli. Tomatoes, that's another thing.

510
00:30:08,400 --> 00:30:11,440
Speaker 1: Like you know, apparently the UK only produces a fifth

511
00:30:11,480 --> 00:30:15,040
Speaker 1: of the tomatoes that they actually sell within the country. Um,

512
00:30:15,560 --> 00:30:20,840
Speaker 1: I'm sorry tomatoes tomato. Um, come on, UK, say potatoes.

513
00:30:21,080 --> 00:30:25,320
Speaker 1: I say tomato, right, I think that's potato. How do

514
00:30:25,400 --> 00:30:31,440
Speaker 1: you say it? Oh? Also potato, that's an elevator. But

515
00:30:33,320 --> 00:30:35,719
Speaker 1: so they also wine will be tough to get. But

516
00:30:35,760 --> 00:30:38,560
Speaker 1: the things that they can get, so don't worry, you

517
00:30:38,560 --> 00:30:45,240
Speaker 1: get plenty of mutton because that's all being grown. Carrots, Yeah,

518
00:30:45,400 --> 00:30:48,480
Speaker 1: keep peas, carrots and beats. Don't worry, UK, You're good.

519
00:30:49,160 --> 00:30:52,880
Speaker 1: Plenty of those. They have this listed like it's a

520
00:30:52,920 --> 00:30:56,880
Speaker 1: combination or that beat root, peas, carrots and beat root,

521
00:30:57,560 --> 00:31:01,400
Speaker 1: like those are core staples of Is that just more

522
00:31:01,440 --> 00:31:04,320
Speaker 1: popular in the UK than um? I mean you could.

523
00:31:04,400 --> 00:31:06,400
Speaker 1: I mean beats are kind of having a I mean

524
00:31:06,400 --> 00:31:12,480
Speaker 1: their renaissance. J stands are popping in the UK. Right yeah, yeah, okay, okay,

525
00:31:12,560 --> 00:31:14,480
Speaker 1: I think maybe because it's probably one of the things

526
00:31:14,520 --> 00:31:16,720
Speaker 1: that they have a ton of. That's where they're just

527
00:31:16,760 --> 00:31:19,360
Speaker 1: pointing out like, look, we're good in the UK when

528
00:31:19,360 --> 00:31:22,640
Speaker 1: it comes to beats, carrots and peas or bread. Uh,

529
00:31:22,640 --> 00:31:25,400
Speaker 1: they say, toast and chips. Don't worry about that because

530
00:31:25,400 --> 00:31:29,360
Speaker 1: we got enough potatoes. Uh you know, we have Scotch whiskey. Uh,

531
00:31:29,480 --> 00:31:31,960
Speaker 1: so we don't we need to worry about wine. But

532
00:31:32,040 --> 00:31:36,680
Speaker 1: this adding is chips. Yeah. Well yeah, unfortunately with cod

533
00:31:36,720 --> 00:31:39,440
Speaker 1: for fish and chips that's coming from Norway and Iceland,

534
00:31:39,680 --> 00:31:41,640
Speaker 1: so that's going to be a bit of a hit.

535
00:31:42,400 --> 00:31:45,720
Speaker 1: Lobster they got that. They have toast and chips, lobster

536
00:31:45,800 --> 00:31:48,360
Speaker 1: and chips, which as far as I know, aren't like

537
00:31:48,400 --> 00:31:50,560
Speaker 1: the only thing I've ever heard of his fish and

538
00:31:50,640 --> 00:31:53,560
Speaker 1: chips are cotton chips. So it feels like they're trying

539
00:31:53,600 --> 00:31:57,240
Speaker 1: to start something here with toast and chips. Yeah, it

540
00:31:57,280 --> 00:32:00,240
Speaker 1: seems don't worry, you can get this thing we just

541
00:32:00,320 --> 00:32:02,920
Speaker 1: made up. Yeah, we we totally have lots of it.

542
00:32:03,000 --> 00:32:05,720
Speaker 1: It's it's not a problem. Plenty of that when that

543
00:32:05,760 --> 00:32:08,600
Speaker 1: came from. Don't worry, you won't want the fish and

544
00:32:08,680 --> 00:32:12,080
Speaker 1: chips anymore. That's that's the thing. In the past. We

545
00:32:12,120 --> 00:32:16,040
Speaker 1: do have um uh well, um, we have a peanut

546
00:32:16,080 --> 00:32:21,080
Speaker 1: butter and chips and oh yeah, lots of new things.

547
00:32:21,280 --> 00:32:24,160
Speaker 1: They exciting. You gotta try it. I think I'm just

548
00:32:24,200 --> 00:32:28,640
Speaker 1: gonna go to Nando's. Thanks anyway. Oh yeah, but lobster,

549
00:32:28,760 --> 00:32:31,320
Speaker 1: I mean they I didn't realize they have an abundance,

550
00:32:31,360 --> 00:32:34,000
Speaker 1: as they say in this Daily Mail article of crab,

551
00:32:34,320 --> 00:32:39,880
Speaker 1: prawns and lobster. So you're good on the Yeah, living

552
00:32:39,920 --> 00:32:42,640
Speaker 1: that good life. I guess. I guess they'll be fine.

553
00:32:42,720 --> 00:32:45,960
Speaker 1: After all, this would be enough to change my politics.

554
00:32:46,000 --> 00:32:51,760
Speaker 1: I have traditionally been pro bregs. But yeah, which was

555
00:32:51,920 --> 00:32:56,120
Speaker 1: the hammer? Pizza? Pizza? A course, you don't mess with

556
00:32:56,160 --> 00:33:00,440
Speaker 1: my pizza. Okay, you've always said that. Uh, as long

557
00:33:00,480 --> 00:33:03,400
Speaker 1: as I know for the past, you don't do that. Alright,

558
00:33:03,440 --> 00:33:06,480
Speaker 1: that's a crossing the line where I'm from. That was right,

559
00:33:08,560 --> 00:33:11,400
Speaker 1: I have miles. You were talking about having a little

560
00:33:11,440 --> 00:33:13,520
Speaker 1: bit of a history with St. Louis. I lived in

561
00:33:13,600 --> 00:33:17,960
Speaker 1: Columbia for the first three years of my marriage. Um,

562
00:33:18,520 --> 00:33:23,120
Speaker 1: many many, many miles from any airport. So did a

563
00:33:23,160 --> 00:33:26,280
Speaker 1: lot of spend a lot of time driving driving in Missouri.

564
00:33:26,480 --> 00:33:30,120
Speaker 1: Why were you there for three years of school? Uh?

565
00:33:30,160 --> 00:33:35,320
Speaker 1: My wife was going through medical school. Yes, Columbia is

566
00:33:35,320 --> 00:33:38,200
Speaker 1: not bad Columbia is a nice little college town. It

567
00:33:38,320 --> 00:33:42,760
Speaker 1: is the definition of college. Yeah. We were like within

568
00:33:42,880 --> 00:33:46,160
Speaker 1: earshot of the football stadium, so you could just like

569
00:33:46,800 --> 00:33:51,160
Speaker 1: ambiently get the the vibes that I never had, uh

570
00:33:51,520 --> 00:33:53,520
Speaker 1: in my college time because we didn't have like a

571
00:33:53,560 --> 00:33:59,800
Speaker 1: big college football team. But y umcents. Yeah, yeah, decent.

572
00:34:00,040 --> 00:34:03,640
Speaker 1: Wait what's the college of that missoo missoo? Yes, yeah, yeah, yeah,

573
00:34:03,760 --> 00:34:05,760
Speaker 1: my cousin went there. Yeah. I didn't know that was

574
00:34:05,800 --> 00:34:09,759
Speaker 1: in Colombia journalism school. Brad Pitt went there, didn't he.

575
00:34:10,160 --> 00:34:14,279
Speaker 1: I believe that's correct. That is on the on the

576
00:34:14,320 --> 00:34:17,600
Speaker 1: sign when you're entering the university. Red Pitt one here,

577
00:34:18,440 --> 00:34:22,160
Speaker 1: it's a statue of him like eating an apple, eating

578
00:34:22,200 --> 00:34:25,719
Speaker 1: nacho because he's always eating so good at eating. Man,

579
00:34:25,880 --> 00:34:31,200
Speaker 1: that guy he is. He photographed eating a lot. He

580
00:34:31,280 --> 00:34:34,920
Speaker 1: think of any movies, Oh yeah, I guess you're right,

581
00:34:35,000 --> 00:34:38,520
Speaker 1: any Oceans film fight clubs, now, like you can. I

582
00:34:38,520 --> 00:34:40,560
Speaker 1: can always picture a moment where he's eating or taking

583
00:34:40,600 --> 00:34:42,759
Speaker 1: a bite of something. Yeah, he's got to work that

584
00:34:42,920 --> 00:34:47,520
Speaker 1: that chisel jaw actually draws attention to the chisel jaw.

585
00:34:48,719 --> 00:34:50,759
Speaker 1: I noticed it in the Oceans and then I like

586
00:34:50,880 --> 00:34:54,760
Speaker 1: went back and like in Eat Eat Joe Black, Fruitian

587
00:34:54,800 --> 00:34:58,040
Speaker 1: Flip but Meet Joe Black, he like there's a thing

588
00:34:58,040 --> 00:35:01,040
Speaker 1: where he tries peanut butter of the first time. Like

589
00:35:01,120 --> 00:35:03,520
Speaker 1: I I feel like there are certain people who just

590
00:35:03,640 --> 00:35:07,040
Speaker 1: have things written into their contract that they have to do,

591
00:35:07,120 --> 00:35:11,200
Speaker 1: and eating is like, you know, show off the Tom Hanks. Yeah,

592
00:35:11,400 --> 00:35:16,240
Speaker 1: Tom Hanks, we do. We do like talking about Yeah,

593
00:35:16,560 --> 00:35:21,280
Speaker 1: John Cusack likes to be stuck in the rain. Um. Yeah,

594
00:35:21,480 --> 00:35:24,879
Speaker 1: there's all sorts of Some people say they like Tom

595
00:35:24,920 --> 00:35:26,840
Speaker 1: Hanks has had a career in acting just for easy

596
00:35:26,880 --> 00:35:31,400
Speaker 1: access to doing pecenes for large cruise one way or another.

597
00:35:31,440 --> 00:35:33,320
Speaker 1: If he hadn't broken into Hollywood, he was going to

598
00:35:33,440 --> 00:35:36,000
Speaker 1: get into the porn game. Because have you guys heard

599
00:35:36,000 --> 00:35:40,239
Speaker 1: about that podcast where he fired a guy on on

600
00:35:40,280 --> 00:35:42,520
Speaker 1: the set of Band of Brothers because he had dead

601
00:35:42,560 --> 00:35:45,279
Speaker 1: eyes And this guy goes back to the podcast is

602
00:35:45,320 --> 00:35:48,239
Speaker 1: called dead Eyes. I just started listening to it. It's hilarious.

603
00:35:48,640 --> 00:35:51,160
Speaker 1: This guy. It was like, you know, listen as like

604
00:35:51,160 --> 00:35:53,000
Speaker 1: a podcast of the year, and I just heard the

605
00:35:53,000 --> 00:35:54,879
Speaker 1: first episode the other night. But it's called dead Eyes.

606
00:35:54,920 --> 00:35:57,800
Speaker 1: And this guy was like got his first acting gig

607
00:35:58,400 --> 00:36:01,120
Speaker 1: um in Band of Brothers and he was he's American.

608
00:36:01,239 --> 00:36:04,840
Speaker 1: He was over in London studying theater and and acting.

609
00:36:04,920 --> 00:36:07,000
Speaker 1: He was really struggling to get a job over there,

610
00:36:07,040 --> 00:36:09,680
Speaker 1: and like out of nowhere, a band of brothers starts

611
00:36:09,719 --> 00:36:12,080
Speaker 1: casting and it's like he has a chance as an

612
00:36:12,120 --> 00:36:14,560
Speaker 1: American to get get a role, and he gets it

613
00:36:14,920 --> 00:36:17,600
Speaker 1: and then they take it. He calls everybody knows he's

614
00:36:17,640 --> 00:36:19,839
Speaker 1: so excited to speaking role. Like it's not he has

615
00:36:19,880 --> 00:36:23,040
Speaker 1: like ten lines, but it's just huge, you know. And

616
00:36:23,040 --> 00:36:25,120
Speaker 1: and then he gets a call from the casting director

617
00:36:25,160 --> 00:36:27,919
Speaker 1: that says, you have to re audition because Tom thinks

618
00:36:27,960 --> 00:36:30,240
Speaker 1: you have dead eyes and they're not. He wasn't supposed

619
00:36:30,239 --> 00:36:31,480
Speaker 1: to find out he had dead eyes. That was a

620
00:36:31,520 --> 00:36:34,200
Speaker 1: note from like the assistant that told him that. And

621
00:36:34,239 --> 00:36:36,880
Speaker 1: he goes in and he has a re audition and

622
00:36:36,880 --> 00:36:40,239
Speaker 1: then he gets fired by Tom Hanks spreading dead eyes.

623
00:36:40,280 --> 00:36:43,440
Speaker 1: So he's going back and like investigating it and finding

624
00:36:43,440 --> 00:36:46,560
Speaker 1: out like what happened, and um, yeah, and it's it's

625
00:36:46,600 --> 00:36:50,080
Speaker 1: it's really fascinating. That's a whole new level of rejection

626
00:36:50,160 --> 00:36:54,800
Speaker 1: because like that's because that's you're being rejected by America's dead.

627
00:36:55,560 --> 00:36:57,719
Speaker 1: Here is one thing to get her rejected by your

628
00:36:57,760 --> 00:37:02,440
Speaker 1: own dad, but by the entire tree the world's I

629
00:37:02,440 --> 00:37:05,359
Speaker 1: don't know if I'm like what I'm feeling right now,

630
00:37:05,400 --> 00:37:07,960
Speaker 1: whether it's at like, wait, Tom Hanks is capable of

631
00:37:08,040 --> 00:37:11,080
Speaker 1: bad or also am I putting myself in dead eyes position?

632
00:37:11,080 --> 00:37:13,320
Speaker 1: And I'm like what? But I can't help my eyes?

633
00:37:14,400 --> 00:37:16,640
Speaker 1: How can I undead them? Like? Did he come in

634
00:37:16,719 --> 00:37:19,600
Speaker 1: wild extra for the audition was like, oh my gosh,

635
00:37:19,600 --> 00:37:22,279
Speaker 1: Sergeant Baker, Captain Winter's we got it. We have to

636
00:37:22,320 --> 00:37:25,560
Speaker 1: take that hill. That was the curious part I was.

637
00:37:25,680 --> 00:37:27,799
Speaker 1: I was confused as to why he didn't talk about

638
00:37:27,920 --> 00:37:29,640
Speaker 1: his re audition and how he tried to make his

639
00:37:29,680 --> 00:37:31,920
Speaker 1: eyes more lively. I would think that that would be

640
00:37:31,960 --> 00:37:34,399
Speaker 1: something you would move him more, but he didn't mention that.

641
00:37:34,680 --> 00:37:36,960
Speaker 1: And then I googled him, which when I was going

642
00:37:37,040 --> 00:37:39,520
Speaker 1: through my Google searches for you guys, I saw his

643
00:37:39,600 --> 00:37:41,439
Speaker 1: name and I go who is that? And I was like, oh,

644
00:37:41,560 --> 00:37:43,239
Speaker 1: I I google to see if he had dead eyes

645
00:37:43,680 --> 00:37:50,200
Speaker 1: and he kind of does, like they're a little bit sociopathic,

646
00:37:50,280 --> 00:37:53,080
Speaker 1: a little bit like just like looking through you, which

647
00:37:53,120 --> 00:37:55,080
Speaker 1: is not a bad thing. He's actually a really great actor,

648
00:37:55,239 --> 00:37:58,440
Speaker 1: communic actor, and uh, he's like a UCB guy and

649
00:37:58,640 --> 00:38:01,719
Speaker 1: really accomplished. But um he he. In fact, I did

650
00:38:01,760 --> 00:38:05,400
Speaker 1: see what Tom was talking about. But I do think

651
00:38:05,520 --> 00:38:09,839
Speaker 1: that maybe Tom has a bad side, you know, Like

652
00:38:10,640 --> 00:38:17,800
Speaker 1: I mean, we could have never guessed. Yes, Connor Ratliffe,

653
00:38:18,560 --> 00:38:22,640
Speaker 1: is it okay? I mean Tom Hanks is a producer

654
00:38:22,800 --> 00:38:27,439
Speaker 1: on that show, and it's like, on the one hand,

655
00:38:27,480 --> 00:38:29,760
Speaker 1: it's not great that it got back to him because

656
00:38:29,840 --> 00:38:33,200
Speaker 1: that's very personally insulting and something that he can do

657
00:38:33,280 --> 00:38:37,120
Speaker 1: nothing about. It would sound like, but that is kind

658
00:38:37,120 --> 00:38:39,880
Speaker 1: of his job, is if somebody has miscast or like

659
00:38:40,000 --> 00:38:44,719
Speaker 1: doesn't isn't like reading on the screen. Like, I kind

660
00:38:44,719 --> 00:38:47,720
Speaker 1: of don't big grudge Tom Hanks the ability to fire

661
00:38:47,760 --> 00:38:52,319
Speaker 1: people for having dead eyes, especially because as we as

662
00:38:52,360 --> 00:38:56,440
Speaker 1: we've discussed, I've always said that actually Tom Hanks, but

663
00:38:56,719 --> 00:39:01,479
Speaker 1: he might have had that specifically duck in his head

664
00:39:01,600 --> 00:39:06,240
Speaker 1: because he was coming off of Polar Express, where the

665
00:39:06,360 --> 00:39:11,400
Speaker 1: mo cap is specifically known for like giving Tom Hanks

666
00:39:11,440 --> 00:39:16,879
Speaker 1: the deadest eyes that any movie character has ever had.

667
00:39:17,880 --> 00:39:22,399
Speaker 1: On the show. Seriously, that, I mean, that's a really

668
00:39:22,400 --> 00:39:24,600
Speaker 1: good point. He said. He walked into the re audition

669
00:39:24,680 --> 00:39:28,760
Speaker 1: and um he and Tom's in there, and he didn't

670
00:39:28,760 --> 00:39:30,920
Speaker 1: recognize him because he looked like ship. He said, he was,

671
00:39:30,960 --> 00:39:33,279
Speaker 1: like he looked terrible and he has just gotten done

672
00:39:33,280 --> 00:39:36,680
Speaker 1: filming cast Away and so he lost all this weight

673
00:39:36,680 --> 00:39:39,319
Speaker 1: and you know he didn't know what he was all

674
00:39:39,360 --> 00:39:43,120
Speaker 1: skinny and like just like looked homeless for and um

675
00:39:43,480 --> 00:39:46,359
Speaker 1: it just like I have you guys ever found out

676
00:39:46,480 --> 00:39:49,040
Speaker 1: something about yourself that you weren't supposed to know like that,

677
00:39:49,200 --> 00:39:52,960
Speaker 1: Like I try not to hear. I would never I'm

678
00:39:52,960 --> 00:39:55,000
Speaker 1: not one of those people that wants to know what

679
00:39:55,080 --> 00:39:57,439
Speaker 1: people really think about me. I would like to live

680
00:39:57,600 --> 00:39:59,720
Speaker 1: in in the world where you know, like I talked

681
00:39:59,719 --> 00:40:03,000
Speaker 1: ship it about people, so I assume ever people talk

682
00:40:03,280 --> 00:40:05,520
Speaker 1: about me, and it's like it's there, right, I don't.

683
00:40:05,600 --> 00:40:07,680
Speaker 1: It's that whole phrase of like it's none of your

684
00:40:07,680 --> 00:40:09,600
Speaker 1: business what other people think about you. I try to

685
00:40:09,680 --> 00:40:12,120
Speaker 1: like I would. I wouldn't be one of those people

686
00:40:12,160 --> 00:40:14,359
Speaker 1: that's like, if you could be invisible for the day,

687
00:40:14,440 --> 00:40:17,200
Speaker 1: what would you do? And I wouldn't like go to

688
00:40:17,239 --> 00:40:21,600
Speaker 1: hear people talking about me. Ever. Yeah, not necessarily not

689
00:40:22,280 --> 00:40:25,279
Speaker 1: a good idea, but people like that. It's like a

690
00:40:25,360 --> 00:40:27,440
Speaker 1: thing where like you're not I mean, like when you're

691
00:40:27,440 --> 00:40:29,839
Speaker 1: susceptible to that, like it shows that you're very like

692
00:40:29,920 --> 00:40:32,279
Speaker 1: you can't live from your inside out, you know, like

693
00:40:32,360 --> 00:40:35,400
Speaker 1: you're living from the outside in. Everything that's happening outside

694
00:40:35,440 --> 00:40:38,239
Speaker 1: of you is actually determining your internal space rather than

695
00:40:38,440 --> 00:40:40,279
Speaker 1: coming from a place like yeah, I don't know, Yeah,

696
00:40:40,320 --> 00:40:43,319
Speaker 1: maybe my mouth is crooked, which is and I'm like,

697
00:40:43,360 --> 00:40:45,319
Speaker 1: but I don't give a funk. That's just that's what

698
00:40:45,360 --> 00:40:47,279
Speaker 1: it is. Uh, And I don't care. But at the

699
00:40:47,320 --> 00:40:48,759
Speaker 1: end of the day, like, I can't see my own

700
00:40:48,800 --> 00:40:52,080
Speaker 1: fucking mouth, so gives a ship. Yeah, that's a good point.

701
00:40:52,120 --> 00:40:56,399
Speaker 1: You can't meant to see our reflections. Like ever, what

702
00:40:57,080 --> 00:40:59,840
Speaker 1: I was just gonna says is a great mouth, not crooking.

703
00:40:59,880 --> 00:41:05,680
Speaker 1: It has si our performance review that you wrote up

704
00:41:05,719 --> 00:41:11,400
Speaker 1: of meine one bro he wrote, bro your mouth dog

705
00:41:13,360 --> 00:41:19,640
Speaker 1: dog Yeah, like what I've done the roasts, you know,

706
00:41:19,840 --> 00:41:24,919
Speaker 1: Like that's when you are subject to those those things

707
00:41:24,960 --> 00:41:26,880
Speaker 1: that you're like, oh, I didn't even know that about myself.

708
00:41:26,880 --> 00:41:30,080
Speaker 1: But people, just the writer's room for those they just

709
00:41:30,520 --> 00:41:32,480
Speaker 1: sit and stare at a picture of you all day

710
00:41:32,520 --> 00:41:34,440
Speaker 1: and take it a heart and say like the worst

711
00:41:34,480 --> 00:41:39,400
Speaker 1: things possible. And it's really led me to be deeply

712
00:41:39,440 --> 00:41:41,760
Speaker 1: insecure about things that I didn't, you know, I already

713
00:41:41,760 --> 00:41:45,520
Speaker 1: have insecurities, and then they find new things and um yeah,

714
00:41:45,640 --> 00:41:48,040
Speaker 1: like and one that comes back to haunt me all

715
00:41:48,040 --> 00:41:50,360
Speaker 1: the time is like people said I look like Owen Wilson,

716
00:41:50,400 --> 00:41:53,000
Speaker 1: which is I kind of didn't like I guess it.

717
00:41:53,200 --> 00:41:56,520
Speaker 1: And the way you guys just laughed just confirmed it.

718
00:42:00,000 --> 00:42:02,000
Speaker 1: To pull up a photo and really give it a gander,

719
00:42:02,640 --> 00:42:07,200
Speaker 1: like we totally like yeah, we oh, yeah, I gotta

720
00:42:07,200 --> 00:42:08,960
Speaker 1: work on an impression of him that would be killer.

721
00:42:09,239 --> 00:42:12,080
Speaker 1: But he has a he's like a feminine looking man,

722
00:42:12,160 --> 00:42:14,600
Speaker 1: so I'll take it. Um, but that one's come back

723
00:42:14,600 --> 00:42:16,640
Speaker 1: to hurt me a lot. And I definitely did see it,

724
00:42:16,719 --> 00:42:19,319
Speaker 1: and I was like, oh, you know, I gotta I

725
00:42:19,440 --> 00:42:24,719
Speaker 1: like booked a m an appointment with a plastic surgeny

726
00:42:24,800 --> 00:42:28,880
Speaker 1: person after the roast to like go like fix some stuff.

727
00:42:28,920 --> 00:42:33,240
Speaker 1: It was wild. I spent so much money different dumb stuff, uh,

728
00:42:33,280 --> 00:42:36,479
Speaker 1: just to like you know, and then and then they'll

729
00:42:36,480 --> 00:42:38,719
Speaker 1: make fun of you for looking plastic, so it's like

730
00:42:38,760 --> 00:42:40,719
Speaker 1: you can't win. But I did have dead eyes for

731
00:42:40,760 --> 00:42:44,799
Speaker 1: a while. Um when I I got like botox, that

732
00:42:44,960 --> 00:42:48,919
Speaker 1: really does kill your Like that's that's talk about dead eyes.

733
00:42:49,480 --> 00:42:52,480
Speaker 1: And now it's all gone. It's like it's with COVID.

734
00:42:52,640 --> 00:42:54,919
Speaker 1: You can't have any more touch ups. So I feel

735
00:42:54,960 --> 00:42:57,520
Speaker 1: so good like having my face just like being able

736
00:42:57,560 --> 00:43:01,480
Speaker 1: to move again and back to normal. Because I did

737
00:43:01,480 --> 00:43:07,040
Speaker 1: you feel like there was any diminished, uh, feeling like emotions.

738
00:43:07,200 --> 00:43:10,439
Speaker 1: I've read that that's something that happens where when your

739
00:43:10,440 --> 00:43:13,120
Speaker 1: face is frozen, you're less able to even feel the

740
00:43:13,120 --> 00:43:17,960
Speaker 1: emotions because it's the two way street. Did you that, No,

741
00:43:18,400 --> 00:43:21,200
Speaker 1: you know, I already have a hard time feeling my feelings,

742
00:43:21,239 --> 00:43:24,000
Speaker 1: so I think that I was already just like it

743
00:43:24,080 --> 00:43:27,880
Speaker 1: was probably just felt pretty good on top of that. Yeah,

744
00:43:28,000 --> 00:43:29,920
Speaker 1: but I did cry. I was on Who Wants to

745
00:43:29,920 --> 00:43:32,000
Speaker 1: Be a Millionaire right before the pandemic, like right when

746
00:43:32,040 --> 00:43:34,239
Speaker 1: it happened that week. It was like the one of

747
00:43:34,239 --> 00:43:37,320
Speaker 1: the last things that filmed before everything shut down, and

748
00:43:37,480 --> 00:43:39,440
Speaker 1: I had a lot of botox in my face, and

749
00:43:39,480 --> 00:43:42,120
Speaker 1: I cried on that show, Like it's so weird that

750
00:43:42,160 --> 00:43:45,719
Speaker 1: I don't cry, but when the camera was in front

751
00:43:45,719 --> 00:43:47,240
Speaker 1: of me, and it was a real cry. It wasn't

752
00:43:47,280 --> 00:43:49,720
Speaker 1: for the camera, like I accidentally said the wrong answer

753
00:43:50,440 --> 00:43:52,960
Speaker 1: and like I locked in the wrong answer. You know,

754
00:43:52,960 --> 00:43:55,040
Speaker 1: it was between two things and I was like, it's

755
00:43:55,080 --> 00:43:57,600
Speaker 1: not this. I know it's not this. And then I said,

756
00:43:58,200 --> 00:44:00,719
Speaker 1: you know, be final answer, and it was what I

757
00:44:00,800 --> 00:44:04,200
Speaker 1: was saying was not so everyone knew, like I just

758
00:44:04,200 --> 00:44:07,400
Speaker 1: funked up. And I go and I'm screaming and I

759
00:44:07,480 --> 00:44:10,960
Speaker 1: cry because it's like it was just because I just

760
00:44:11,600 --> 00:44:14,760
Speaker 1: didn't take my time and I just gotten done telling

761
00:44:15,160 --> 00:44:17,680
Speaker 1: Jimmy Kimmel, the host, that I really want to be

762
00:44:17,760 --> 00:44:21,880
Speaker 1: patient and and think and um, and I was just

763
00:44:21,920 --> 00:44:24,160
Speaker 1: so disappointed myself. So I started crying. And it looks

764
00:44:24,160 --> 00:44:26,680
Speaker 1: like I'm fake crying because my face can't move. It's

765
00:44:26,719 --> 00:44:28,920
Speaker 1: just like a tear falling out of a frozen face.

766
00:44:29,600 --> 00:44:31,359
Speaker 1: And uh. And that's when I was like, you gotta

767
00:44:31,400 --> 00:44:34,840
Speaker 1: get that stuff out of you until until the next roast.

768
00:44:34,920 --> 00:44:38,120
Speaker 1: And that someone makes you feel bad again. By the way,

769
00:44:38,280 --> 00:44:41,680
Speaker 1: Polar expressed two thousand four, Band of Brothers two thousand one,

770
00:44:41,960 --> 00:44:44,680
Speaker 1: So maybe Tom Hanks should have worried about his own

771
00:44:44,719 --> 00:44:50,640
Speaker 1: dead eyes. All right, let's take another quick break and

772
00:44:50,680 --> 00:45:03,600
Speaker 1: we'll be right back. And we're back. One thing I

773
00:45:03,960 --> 00:45:06,480
Speaker 1: was looking at it was interestingly enough, is The New

774
00:45:06,560 --> 00:45:11,480
Speaker 1: York Times devoted a bit of page space to the

775
00:45:11,520 --> 00:45:17,240
Speaker 1: trend the pandemic trend of squirrel tables, Um, the squirrel

776
00:45:17,280 --> 00:45:20,799
Speaker 1: table sort of stuff like the squirrel tables. You haven't

777
00:45:20,840 --> 00:45:22,799
Speaker 1: seen these kinds of memes are like not memes, Like,

778
00:45:22,840 --> 00:45:25,000
Speaker 1: but I felt like at the very beginning of Lockdown,

779
00:45:25,040 --> 00:45:27,640
Speaker 1: I was definitely seeing these like videos and images of

780
00:45:27,680 --> 00:45:32,000
Speaker 1: people creating like picnic benches for squirrels that they would

781
00:45:32,000 --> 00:45:35,480
Speaker 1: put on trees or fences and like just be like,

782
00:45:35,480 --> 00:45:37,720
Speaker 1: oh my god, look the squirrels eating at this table

783
00:45:37,760 --> 00:45:40,120
Speaker 1: I made, and it's eating sunflower seeds, and people just

784
00:45:40,120 --> 00:45:43,239
Speaker 1: getting giddy by being like I made a cool restaurant

785
00:45:43,280 --> 00:45:46,400
Speaker 1: for a squirrel. Um, okay, that's kind of cute. This

786
00:45:46,520 --> 00:45:48,600
Speaker 1: isn't I'm really the only one that was tapped into

787
00:45:48,600 --> 00:45:50,960
Speaker 1: the world. Was like this does not ring any kind

788
00:45:50,960 --> 00:45:54,439
Speaker 1: of bells for me. You were, what, what's your algorithm?

789
00:45:54,760 --> 00:45:57,080
Speaker 1: I don't know, man, I think it's like it's it's

790
00:45:57,120 --> 00:46:01,520
Speaker 1: it like modulates between like Europeans saw Sucker, NBA weed

791
00:46:02,040 --> 00:46:04,839
Speaker 1: like hip hop beats and then like moments that will

792
00:46:04,840 --> 00:46:08,239
Speaker 1: make you cry because you skipped therapy this week. Um,

793
00:46:08,360 --> 00:46:11,479
Speaker 1: but this one the trend. And so as they're saying,

794
00:46:11,480 --> 00:46:14,560
Speaker 1: they really tried to dial like dial in where the

795
00:46:14,600 --> 00:46:16,400
Speaker 1: origin of this trend was. They said the trend seemed

796
00:46:16,400 --> 00:46:19,120
Speaker 1: to have started in March quote when Rick Kalinowski, an

797
00:46:19,200 --> 00:46:21,920
Speaker 1: unemployed plumber in brent More, Pennsylvania, posted a series of

798
00:46:21,960 --> 00:46:24,480
Speaker 1: pictures of a squirrel feeder in the Facebook group all

799
00:46:24,520 --> 00:46:27,600
Speaker 1: about squirrels. In one widely shared picture, a squirrel sits

800
00:46:27,640 --> 00:46:30,240
Speaker 1: at the table attached to a fence and grasps peanuts

801
00:46:30,239 --> 00:46:33,600
Speaker 1: in its little hands. Um, Now, just a quick history

802
00:46:33,640 --> 00:46:36,040
Speaker 1: about squirrels, which I didn't know. I just thought there

803
00:46:36,040 --> 00:46:39,600
Speaker 1: were things we have lived with a long time. Apparently

804
00:46:39,600 --> 00:46:43,440
Speaker 1: like we got very close to like eradicating squirrels from

805
00:46:43,520 --> 00:46:46,640
Speaker 1: cities because people are just like, oh, these are crop pests,

806
00:46:46,640 --> 00:46:50,200
Speaker 1: are like their game, Like they're not for fucking hopping

807
00:46:50,239 --> 00:46:53,600
Speaker 1: around our our neighborhoods and things like that. But they

808
00:46:53,640 --> 00:46:57,200
Speaker 1: had a nice rehabilitation in the mid eighteen hundreds, UH,

809
00:46:57,239 --> 00:47:01,600
Speaker 1: in places like Philly and Boston, they began reintroducing squirrels

810
00:47:01,600 --> 00:47:05,200
Speaker 1: to like the urban environments to quote beautify and enliven

811
00:47:05,239 --> 00:47:08,000
Speaker 1: the urban landscape at a time when American cities were

812
00:47:08,040 --> 00:47:13,160
Speaker 1: growing in geographic extent, uh, population density, and cultural diversity.

813
00:47:13,440 --> 00:47:17,000
Speaker 1: And then once the urban park came along, it was

814
00:47:17,120 --> 00:47:22,000
Speaker 1: Frederick bestowed upon us. Yeah, I mean we all know.

815
00:47:22,040 --> 00:47:24,759
Speaker 1: I mean we all have the tattoo. Um squirrel is

816
00:47:24,840 --> 00:47:28,000
Speaker 1: basically once like we have more parks, they really began

817
00:47:28,040 --> 00:47:30,839
Speaker 1: finding their place and like trees and in suburbs and

818
00:47:30,840 --> 00:47:35,160
Speaker 1: in cities. So now cut to like us living vicariously

819
00:47:35,320 --> 00:47:40,080
Speaker 1: through these tiny animals. It sounds like something that my

820
00:47:40,080 --> 00:47:42,719
Speaker 1: my like aunt would post a Facebook and be like, Now,

821
00:47:42,800 --> 00:47:46,279
Speaker 1: this is true bipartisanship. There are some things we can

822
00:47:46,320 --> 00:47:48,440
Speaker 1: all agree on. And it's at a squirrel on the

823
00:47:48,520 --> 00:47:51,640
Speaker 1: table makes me laugh and look at him eating. Today

824
00:47:51,680 --> 00:47:55,799
Speaker 1: my best customer the Loneous Chipmunk, which I think is

825
00:47:55,840 --> 00:47:59,839
Speaker 1: the name of a famous squirrel. This is much hie

826
00:48:00,040 --> 00:48:04,480
Speaker 1: under to the squirrel than some of the YouTube squirrel

827
00:48:04,560 --> 00:48:08,600
Speaker 1: clicks I've gone after, which are people who are unhappy

828
00:48:08,680 --> 00:48:12,799
Speaker 1: with squirrels taking the bird their bird seed. Oh yeah, no,

829
00:48:12,960 --> 00:48:17,760
Speaker 1: this is a and there are some true hilarious depending

830
00:48:17,800 --> 00:48:23,360
Speaker 1: on what you know, mean um obstacle course aficionados that

831
00:48:23,440 --> 00:48:26,360
Speaker 1: have like really taken it two squirrels because as anyone

832
00:48:26,560 --> 00:48:29,319
Speaker 1: from the Midwest like myself knows, they will get that

833
00:48:29,400 --> 00:48:33,800
Speaker 1: bird seed right, well, they will get the bird seed

834
00:48:34,080 --> 00:48:35,840
Speaker 1: well going going off this. I want to make a

835
00:48:35,920 --> 00:48:40,239
Speaker 1: quick YouTube recommendation. There's a channel I learned about recently

836
00:48:40,880 --> 00:48:44,719
Speaker 1: called James Blackwood, the Raccoon Whisperer. He's a guy that

837
00:48:44,800 --> 00:48:49,719
Speaker 1: lives in Novaca, Nova Scotia, and it's just truly thousands

838
00:48:49,719 --> 00:48:53,600
Speaker 1: of videos of him feeding raccoons peanut butter sandwiches every

839
00:48:53,640 --> 00:48:57,520
Speaker 1: single night. The raccoons are gigantic and they love him

840
00:48:57,600 --> 00:49:00,440
Speaker 1: and he has them on the schedule, and it's just

841
00:49:00,560 --> 00:49:05,040
Speaker 1: if you want to see a retiree feed, like thirty raccoons,

842
00:49:05,239 --> 00:49:10,360
Speaker 1: is this how Grizzly Man DoD It's so, it's the

843
00:49:10,480 --> 00:49:13,600
Speaker 1: raccoons are so because they have fingers and hands and

844
00:49:13,680 --> 00:49:19,120
Speaker 1: it's cute and so that's yeah, there's a whole He

845
00:49:19,120 --> 00:49:22,960
Speaker 1: has four hundred thousand subscribers. Is Werner Hurtz not gonna

846
00:49:23,120 --> 00:49:29,160
Speaker 1: narrate that too. It's like Raccoon Man came to the

847
00:49:29,320 --> 00:49:33,200
Speaker 1: hung Old. He uploads twice a day. It's just like

848
00:49:33,239 --> 00:49:37,000
Speaker 1: and all the videos are called like Mobbed by Raccoons Tuesday,

849
00:49:37,120 --> 00:49:44,240
Speaker 1: November three day. This guy is a content machine. Yeah,

850
00:49:44,600 --> 00:49:47,360
Speaker 1: we think we release a lot. Well, he's going twice

851
00:49:47,360 --> 00:49:51,680
Speaker 1: a day, no days off with the raccoon content. I

852
00:49:51,680 --> 00:49:53,879
Speaker 1: will say this, like people are I mean, it's nice

853
00:49:53,920 --> 00:49:57,279
Speaker 1: to see people product like be productive in their time

854
00:49:57,320 --> 00:49:59,000
Speaker 1: off at least like they're being like, I'm dedicate my

855
00:49:59,040 --> 00:50:01,640
Speaker 1: time at least feed some animals and like poisoning the

856
00:50:01,760 --> 00:50:05,880
Speaker 1: raccoons or like that. But I posted one of the

857
00:50:05,880 --> 00:50:08,560
Speaker 1: pictures from this article. People are making like full on

858
00:50:08,920 --> 00:50:13,400
Speaker 1: charcouterie boards for squirrels, and that's where I'm like, look,

859
00:50:13,440 --> 00:50:15,439
Speaker 1: I get it if it's a hobby and helps pass

860
00:50:15,480 --> 00:50:16,920
Speaker 1: the time, Like I'm not gonna judge you, but like

861
00:50:17,000 --> 00:50:18,800
Speaker 1: I'm looking at that, I'm like, yeah, I'm too greedy

862
00:50:18,800 --> 00:50:20,719
Speaker 1: with my food to ever put a platter out for

863
00:50:20,760 --> 00:50:23,160
Speaker 1: an animal who won't give a funk about the presentation.

864
00:50:23,640 --> 00:50:25,719
Speaker 1: I mean, honestly, for at that point, I feel like

865
00:50:25,760 --> 00:50:29,200
Speaker 1: that's people doing it more for content than for the animals,

866
00:50:29,360 --> 00:50:32,840
Speaker 1: which is annoying. They're like, oh, isn't this funny, and

867
00:50:32,840 --> 00:50:37,799
Speaker 1: you're like, I guess whatever, More like you're no raccoon whisperer,

868
00:50:39,040 --> 00:50:44,200
Speaker 1: more like shark CUTI that has to be a fucking

869
00:50:44,239 --> 00:50:48,400
Speaker 1: Instagram page. I'm sure showing the best of people to

870
00:50:48,480 --> 00:50:53,439
Speaker 1: step on. I didn't want to step on Jamie's raccoon mention. Sorry, yeah,

871
00:50:53,520 --> 00:50:56,080
Speaker 1: don't interrupt me when I'm talking about the raccoon whisper.

872
00:50:57,840 --> 00:51:00,120
Speaker 1: But yeah, I mean credit to all these people. I mean,

873
00:51:00,480 --> 00:51:02,719
Speaker 1: look if if just because we can't dine out, it

874
00:51:02,800 --> 00:51:08,160
Speaker 1: doesn't mean we can create that experience for our squirrel friends. Guy,

875
00:51:08,200 --> 00:51:11,640
Speaker 1: I'm actually curious, what is the like, what what are

876
00:51:11,880 --> 00:51:15,680
Speaker 1: what would you say? The national consensus in New Zealand

877
00:51:15,800 --> 00:51:21,759
Speaker 1: is around UFOs aliens like as compared to what you've

878
00:51:21,800 --> 00:51:27,719
Speaker 1: experienced in America, Um, we we just we struggled to

879
00:51:27,760 --> 00:51:36,080
Speaker 1: do anything on the same scale as you guys. It's

880
00:51:36,120 --> 00:51:40,319
Speaker 1: such a nice way of putting it. We don't have

881
00:51:40,640 --> 00:51:45,840
Speaker 1: a Roswell rom this time last year, actually I visited

882
00:51:46,400 --> 00:51:48,520
Speaker 1: I was in ros. I visited Roswell in New Mexico,

883
00:51:49,000 --> 00:51:53,160
Speaker 1: and it was like, you know that they're sort of like, ah,

884
00:51:53,440 --> 00:51:56,839
Speaker 1: people said they saw something that got heavily debunked here

885
00:51:57,000 --> 00:51:59,239
Speaker 1: sixty years ago. Why don't we brand our entire town

886
00:51:59,239 --> 00:52:03,480
Speaker 1: around it? But here it's like it's it's probably just, um,

887
00:52:03,520 --> 00:52:06,279
Speaker 1: there's nothing, there's nothing in the mainstream. You know. You

888
00:52:06,360 --> 00:52:08,640
Speaker 1: talked to a few people who are hobbyists who sort

889
00:52:08,640 --> 00:52:13,280
Speaker 1: of very like low level fringe conspiracy theorists to get excited.

890
00:52:13,320 --> 00:52:18,440
Speaker 1: But it's it's not really a feature of discourse, right

891
00:52:19,200 --> 00:52:26,560
Speaker 1: what about over there were I dabble a little bit

892
00:52:26,560 --> 00:52:31,920
Speaker 1: and there's something there's there's some wild sightings off the

893
00:52:31,960 --> 00:52:36,040
Speaker 1: coast of Australia, and now it'shere. It's it's almost like

894
00:52:36,080 --> 00:52:44,879
Speaker 1: an exit strategy for you guys like I need. It's

895
00:52:44,960 --> 00:52:51,080
Speaker 1: only fucking explanation. Um, well, just an update that John O.

896
00:52:51,719 --> 00:52:58,200
Speaker 1: Brennan very close to having my same name was but

897
00:52:58,239 --> 00:53:01,200
Speaker 1: the oh was a middle initial. Um he was CIA

898
00:53:01,280 --> 00:53:06,239
Speaker 1: director under Obama. Uh so completely you know, evil and

899
00:53:06,320 --> 00:53:10,320
Speaker 1: manipulative monster, but someone with the highest security clearance, like

900
00:53:10,360 --> 00:53:14,319
Speaker 1: he probably knows who killed Kennedy and all the where

901
00:53:14,320 --> 00:53:17,759
Speaker 1: all the bodies are buried, all that good stuff. But

902
00:53:18,320 --> 00:53:20,600
Speaker 1: the surprising thing here is not just that he's like

903
00:53:20,719 --> 00:53:24,440
Speaker 1: open to the possibility that UFOs are the result of

904
00:53:24,480 --> 00:53:30,200
Speaker 1: intelligent life, but also like how mysterious and completely wide open.

905
00:53:30,480 --> 00:53:34,560
Speaker 1: The whole thing seems to him like there's at one

906
00:53:34,560 --> 00:53:39,680
Speaker 1: point he says, uh, life besides what's in the States,

907
00:53:40,320 --> 00:53:44,160
Speaker 1: meaning like that other it seems to apply that other

908
00:53:45,120 --> 00:53:50,759
Speaker 1: countries might be aware of different life forms that we're

909
00:53:50,800 --> 00:53:53,319
Speaker 1: not aware of. And then he says that there might

910
00:53:53,360 --> 00:53:57,720
Speaker 1: be life defined in many different ways, uh, and something

911
00:53:57,719 --> 00:54:00,400
Speaker 1: that we don't yet understand that could involve of some

912
00:54:00,480 --> 00:54:04,200
Speaker 1: type of activity that some might say constitute a different

913
00:54:04,239 --> 00:54:07,520
Speaker 1: form of life. So it's like he's opening the door too.

914
00:54:08,520 --> 00:54:11,560
Speaker 1: I don't know. I don't know if it's robots or what.

915
00:54:11,840 --> 00:54:20,839
Speaker 1: Like Ted talk at Burning Man director, but he just

916
00:54:20,840 --> 00:54:24,759
Speaker 1: sounds like a great classroom. He sounds like us when

917
00:54:24,800 --> 00:54:27,640
Speaker 1: we first saw those videos. He's like, you know, I

918
00:54:27,680 --> 00:54:29,960
Speaker 1: think we should be open to everything. Those videos are

919
00:54:29,960 --> 00:54:33,759
Speaker 1: fucking wild man right right. Essentially, he's like, I don't know.

920
00:54:33,800 --> 00:54:36,800
Speaker 1: When people talk about it, is there other life besides

921
00:54:36,840 --> 00:54:39,919
Speaker 1: what's in the States, in the world, the globe, life

922
00:54:40,000 --> 00:54:42,480
Speaker 1: is defined in many different ways. I think it's a

923
00:54:42,480 --> 00:54:45,080
Speaker 1: bit presumptuous and arrogant for us to believe that there's

924
00:54:45,120 --> 00:54:47,840
Speaker 1: no other form of life anywhere in the entire universe.

925
00:54:48,280 --> 00:54:50,319
Speaker 1: What that might be is subject to a lot of

926
00:54:50,320 --> 00:54:53,560
Speaker 1: different views. But I think some of the phenomenon we're

927
00:54:53,600 --> 00:54:56,560
Speaker 1: going to be seeing continues to be unexplained and might

928
00:54:56,760 --> 00:55:00,319
Speaker 1: in fact be some type of phenomenon that is the

929
00:55:00,360 --> 00:55:03,480
Speaker 1: result of something that we don't yet understand. And that

930
00:55:03,520 --> 00:55:06,920
Speaker 1: could involve some type of activity that some might say

931
00:55:07,000 --> 00:55:11,840
Speaker 1: constitutes a different form of life. Okay, your cryptic fuck

932
00:55:12,160 --> 00:55:14,200
Speaker 1: as if being the head of the CIA wasn't enough,

933
00:55:14,239 --> 00:55:16,759
Speaker 1: You're like it might be. Could it? Wouldn't it be

934
00:55:16,840 --> 00:55:20,080
Speaker 1: hilarious if like we were just so wrong scientifically that

935
00:55:20,160 --> 00:55:26,160
Speaker 1: like something like oh, yeah, waters aliens what they're like? Yeah?

936
00:55:26,360 --> 00:55:28,720
Speaker 1: What then do you think like that's the whole reason

937
00:55:28,760 --> 00:55:32,200
Speaker 1: ships popping here is because of water. That ship is aliens.

938
00:55:32,239 --> 00:55:37,360
Speaker 1: That's the aliens, the water drinking aliens. Yeah, my body

939
00:55:37,440 --> 00:55:40,879
Speaker 1: is aliens alien. Yeah, yeah, I don't know, Like I mean,

940
00:55:40,920 --> 00:55:43,040
Speaker 1: I don't that the way he's speaking, and it's almost

941
00:55:43,080 --> 00:55:46,279
Speaker 1: like his mind's been fucked, Like he's totally at his

942
00:55:46,360 --> 00:55:49,640
Speaker 1: mind blown, like someone who's like just has like the

943
00:55:49,719 --> 00:55:53,080
Speaker 1: calm of like seeing like zooming out to a point

944
00:55:53,080 --> 00:55:56,680
Speaker 1: where you're like, honestly, man like, clothes don't even fucking matter, dude.

945
00:55:56,760 --> 00:56:00,239
Speaker 1: After the ship, it's real high plane of consciousness sort

946
00:56:00,280 --> 00:56:04,719
Speaker 1: of galaxy brain stuff. Right. It's like hearing anyone who

947
00:56:04,760 --> 00:56:07,719
Speaker 1: is a very specific expert at a thing try and

948
00:56:07,800 --> 00:56:10,560
Speaker 1: explain it to you in layman's terms, and you're like

949
00:56:10,600 --> 00:56:12,719
Speaker 1: that you can see that their brain is working over

950
00:56:12,760 --> 00:56:15,200
Speaker 1: time to try and articulate it in a way that's accessible.

951
00:56:15,280 --> 00:56:18,719
Speaker 1: But what comes out and just completely fails, Like there's

952
00:56:18,719 --> 00:56:23,440
Speaker 1: no there's no forced salads going out sides a word

953
00:56:23,520 --> 00:56:28,040
Speaker 1: salad where the cruton is the word phenomenon. Use the

954
00:56:28,080 --> 00:56:33,560
Speaker 1: word phenomenon, Like every couple bites that phenomenon. If you

955
00:56:33,600 --> 00:56:36,399
Speaker 1: take the phenomenon out, it would just be a wit myss.

956
00:56:38,600 --> 00:56:42,279
Speaker 1: The CIA, did you know, during the Cold War, have

957
00:56:42,400 --> 00:56:46,120
Speaker 1: a habit of dosing each other with lsd uh for

958
00:56:46,600 --> 00:56:49,920
Speaker 1: you know, as a bit kind of uh and also

959
00:56:50,040 --> 00:56:56,480
Speaker 1: because they thought it a way to control people's mind. Yeah,

960
00:56:56,600 --> 00:57:01,040
Speaker 1: but yeah, maybe maybe maybe he's appled. It sounds a

961
00:57:01,040 --> 00:57:04,000
Speaker 1: little bit like somebody here does. Yeah, like you said,

962
00:57:04,040 --> 00:57:06,319
Speaker 1: had their third eye opened a little bit, right, it's

963
00:57:06,320 --> 00:57:08,480
Speaker 1: a guy who came back from a shroom trip for

964
00:57:08,520 --> 00:57:12,480
Speaker 1: the first time. Yeah, but like really just even decided

965
00:57:12,520 --> 00:57:15,560
Speaker 1: to like look at a problem with this set, like

966
00:57:15,600 --> 00:57:18,520
Speaker 1: with this vocabulary of just being like, you know, when

967
00:57:18,520 --> 00:57:20,600
Speaker 1: someone goes like, I don't know, it's weird, like some

968
00:57:20,640 --> 00:57:23,920
Speaker 1: people call it pain, and I realized if you zoom

969
00:57:23,960 --> 00:57:26,919
Speaker 1: out a bit, it's a sensation. And then from there

970
00:57:27,000 --> 00:57:29,560
Speaker 1: we fork off to say whether or not that sensation

971
00:57:29,720 --> 00:57:33,040
Speaker 1: is pleasure or pain. So I take a view even

972
00:57:33,160 --> 00:57:36,280
Speaker 1: further back that that sensation not pain. And this guy's like,

973
00:57:36,720 --> 00:57:39,040
Speaker 1: you know this first line that he says, I think

974
00:57:39,040 --> 00:57:42,400
Speaker 1: it's important for analysts to do. The important thing for

975
00:57:42,440 --> 00:57:45,400
Speaker 1: analysts to do is not go uh into this type

976
00:57:45,400 --> 00:57:49,080
Speaker 1: of challenge, either discounting certain types of possibilities or believing

977
00:57:49,080 --> 00:57:53,520
Speaker 1: in advance that is likely X, Y or Z. It's

978
00:57:54,000 --> 00:57:56,760
Speaker 1: it's such a good articulation of hallucinogens. It's just like

979
00:57:56,800 --> 00:57:59,840
Speaker 1: it's just a person pushing zoom out on the opispicitive

980
00:57:59,880 --> 00:58:02,240
Speaker 1: of life, and some people just get they think it

981
00:58:02,320 --> 00:58:06,960
Speaker 1: caught on the zoom out button. They're like, get your

982
00:58:07,320 --> 00:58:09,720
Speaker 1: the command minus key. You know you text is too

983
00:58:09,760 --> 00:58:13,720
Speaker 1: small now, if anyone wants to I think one thing

984
00:58:13,760 --> 00:58:17,120
Speaker 1: we're learning here is that if anyone wants to immobilize

985
00:58:17,400 --> 00:58:21,600
Speaker 1: John O'Brennan or render him moot for like seven months,

986
00:58:21,640 --> 00:58:24,720
Speaker 1: they just have to introduce him to the Joe Rogan podcast,

987
00:58:24,760 --> 00:58:29,240
Speaker 1: because this motherfucker would love the Joe Rogan or he's

988
00:58:29,280 --> 00:58:31,760
Speaker 1: like too hard for Rogan. He goes on, there goes dude,

989
00:58:31,760 --> 00:58:35,000
Speaker 1: you're full of ship. Dude, you don't even you fucking no,

990
00:58:35,160 --> 00:58:37,760
Speaker 1: you're out here with your fucking Navy seals who run marathons.

991
00:58:37,760 --> 00:58:41,440
Speaker 1: You're fucking stupid. Man, what's this podcast even? You? Fuck?

992
00:58:41,960 --> 00:58:44,840
Speaker 1: I can't be here, man, I can't even be here

993
00:58:44,920 --> 00:58:47,080
Speaker 1: right now with the ship, I know, like, oh my god,

994
00:58:47,560 --> 00:58:51,120
Speaker 1: I talked to this journalist who I want to He's

995
00:58:51,160 --> 00:58:55,320
Speaker 1: like a historian journalist who I wanna develop a podcast with,

996
00:58:55,960 --> 00:58:59,160
Speaker 1: and ahead of our call, he had like clearly just

997
00:58:59,200 --> 00:59:01,440
Speaker 1: like tried listening to podcasts a couple of times for

998
00:59:01,480 --> 00:59:04,400
Speaker 1: the first time, and that was his exact vibe. He's like, Joe,

999
00:59:04,800 --> 00:59:07,440
Speaker 1: listen to Joe Rogan, what the fund is that? Like,

1000
00:59:07,760 --> 00:59:10,600
Speaker 1: it's just so unimpressed. I was like, yeah, well we

1001
00:59:10,600 --> 00:59:14,920
Speaker 1: wouldn't we wouldn't do that necessarily. But he's like, what

1002
00:59:14,960 --> 00:59:19,680
Speaker 1: the fund is that? Man? That's the future exactly. Ship.

1003
00:59:20,200 --> 00:59:27,320
Speaker 1: Elon Musk smoked a blunt on their dog. All right,

1004
00:59:27,600 --> 00:59:31,960
Speaker 1: that's gonna do it for this week's weekly zeitguys, please

1005
00:59:32,120 --> 00:59:35,440
Speaker 1: like and review the show. If you like the show,

1006
00:59:36,000 --> 00:59:40,440
Speaker 1: uh means the world to Miles. He needs your validation, folks.

1007
00:59:41,000 --> 00:59:44,080
Speaker 1: I hope you're having a great weekend, and I will

1008
00:59:44,120 --> 01:00:04,280
Speaker 1: talk to him Monday by SA