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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.

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Speaker 1: Greta something from your search history that is revealing about

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Speaker 1: who you are. But I have a problem where like

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Speaker 1: I can't. I mean, I just I just googled how

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Speaker 1: to take off a boot on a car? Wait, like,

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Speaker 1: as to how to take off a boot? Okay, so

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Speaker 1: are you not paying your parking tickets? What's going on?

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Speaker 1: You just wanted to see my friend. My friend parked

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Speaker 1: her car on my street. She got a boot put

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Speaker 1: on it. She's out of the country. I was like,

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Speaker 1: you have a boot on your car? Yes, they say

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Speaker 1: on the thing it can just jack up, which I

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Speaker 1: think is really fucked up that they can just people

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Speaker 1: who need to be they'll hit you with that anyway,

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Speaker 1: boot on my car because I had too many parking tickets.

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Speaker 1: I've given l A I've given l A d O

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Speaker 1: t between tickets and towing, like I would say around, yeah,

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Speaker 1: I've been towed twelve times. No, that's right. Remember your

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Speaker 1: stores no longer a part of my narrative. Okay, yeah,

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Speaker 1: that's not how I am anymore. I'm a home with

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Speaker 1: parking okay, but but I used to live that life.

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Speaker 1: And also I had a boot. This maybe a myth,

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Speaker 1: but I had a boot, had to pay to get

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Speaker 1: the boot off, then never returned the boot. Eventually I

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Speaker 1: threw the boot away. You can you never turned the

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Speaker 1: boot because now we take off the boot and then

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Speaker 1: it's like they're threatening you. They're like, you need to

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Speaker 1: return this boot in twenty four hours or I have

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Speaker 1: no way of keeping track. That's what I said, Like

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Speaker 1: you can take the boot off yourself. You have to. Okay,

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Speaker 1: so you go to the website, you pay the money,

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Speaker 1: and then they give you a code and put the

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Speaker 1: code in and then you take them and they're like,

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Speaker 1: bring my boot back. Yeah, but they don't know what

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Speaker 1: I boot it and I don't. They can't. They can't

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Speaker 1: know where the boot and I don't think that they're

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Speaker 1: keeping track of like license plate boot, I d number

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Speaker 1: how they are. How can they give you a code

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Speaker 1: to take it off unless because the thing is the

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Speaker 1: code and on the boot, except like okay, so yeah,

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Speaker 1: they know what's going to your car. They know the

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Speaker 1: VIN number, but they're not keeping track of where the

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Speaker 1: boot is. But they know where the boot. They know

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Speaker 1: the boot. They know that the boot, that boot is

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Speaker 1: with that car. Do you know what I'm saying. I'm

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Speaker 1: sure they can't track where your car is. But if

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Speaker 1: you get fucked and you park your car on the

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Speaker 1: street and then a l a you know, parking person

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Speaker 1: sees your car, They're like, oh, you also have a boot,

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Speaker 1: and then they tell your car. Yeah. I think that

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Speaker 1: they have a better tracking system now than maybe when

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Speaker 1: you had your boot on the car, I mean changed

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Speaker 1: it would on someone else's cab and a half. I

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Speaker 1: had a boot on my car in college like years ago, unfortunately,

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Speaker 1: and we didn't have that key pad thing that you have.

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Speaker 1: You had to call the person. They had to give

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Speaker 1: you a window when they would come. I had to

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Speaker 1: sit at my car to wait for this person. But

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Speaker 1: can I tell you something I would did my freshman

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Speaker 1: year of college at the University of Arizona, and we

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Speaker 1: would get college parking to here exactly, bear down, and

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Speaker 1: we would get parking tickets and you could pay them off.

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Speaker 1: I thought with our burser, like our student thing because

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Speaker 1: I'm like a fucking idiot. They would let you buy

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Speaker 1: like I thought, shuffles with it. I was like, why

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Speaker 1: can't I pay my parking tickets with it? Turns out

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Speaker 1: you can't, And I had accumulated I'm not kidding, I

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Speaker 1: think like twenty seven parking tickets and finally they put

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Speaker 1: the choot on my car. One other thing that I

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Speaker 1: recently searched was which way to turn wheels uphill if

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Speaker 1: you're parking a lot of car stuff. For me, you know,

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Speaker 1: I'm just a gearhead. If anything, we know your gear head.

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Speaker 1: I'm just parking somewhere in And also the last time

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Speaker 1: I was here, I also a teeth freak. Lest I

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Speaker 1: was here, I was talking about Millie Bobby Brown's teeth.

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Speaker 1: Another another thing that I typed in Hillary duff Veneers.

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Speaker 1: I mean, yeah, she went a little overboard. Did she

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Speaker 1: go back? I think she had them filed down? Yes

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Speaker 1: she did. I think, yeah, Well, you know she looks great.

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Speaker 1: One thing I just want to bring up really quick

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Speaker 1: is that another scam people are doing. I think is

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Speaker 1: really riding this wave um off the interest of the

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Speaker 1: Chernobyl series from HBO because there's a new vodka out

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Speaker 1: called atomic with a K, and it is being used.

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Speaker 1: It's produced with the grains and water from Chernobyl's exclusion zone.

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Speaker 1: Right now, there's only one bottle in existence, and how

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Speaker 1: much people are like, well, it's because like these people

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Speaker 1: wanted to make it and be like we've done it,

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Speaker 1: We've made the thing. Now it's apparently like a team

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Speaker 1: of like researchers like are are actually the ones making

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Speaker 1: this and this is basically just a huge public to

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Speaker 1: be stun but the ideas, so the whole thing is

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Speaker 1: these researchers they found grain and water that we're in

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Speaker 1: this exclusion zone and the ship was radioactive. The grains

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Speaker 1: they say, we're slightly radioactive. Okay, the amounts were strontium ninety.

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Speaker 1: We're just a smidge above I guess normal safety level.

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Speaker 1: But I guess that's what is the normal safety level.

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Speaker 1: I don't know it's I guess it's barely smidge. Well, look,

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Speaker 1: look do you want to get I'm trying to get radioactive? Yah?

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Speaker 1: You think I've been sucked up before? Why do you

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Speaker 1: see me get radio fucking active? Exactly? Uh? And then

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Speaker 1: but apparently it's different because when they distill the grain

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Speaker 1: it's going to remove all the impurities, so it really

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Speaker 1: it's it's actually perfectly safe to drink. And the water,

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Speaker 1: just so you know, it's from an awkwifford deep in

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Speaker 1: the town of Chernobyl and they say, um, it's free

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Speaker 1: from radio active contamination, similar in chemistry to the groundwater

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Speaker 1: sourced from the Ampagne region of France. Okay, but like

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Speaker 1: here's my thing about that. Then why do we not

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Speaker 1: have Champagne water we have you know what I'm saying,

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Speaker 1: Why do we not have water from that region? Well,

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Speaker 1: that's just because the water is supposed to be that amazing.

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Speaker 1: Then like, where's the bottle water of that apt? I

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Speaker 1: guess for I guess for just for growing the grapes,

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Speaker 1: really for getting into the vineyards. But water chemistry for

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Speaker 1: grape growing is very different than what we needed write

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Speaker 1: I wonder what if you drink? Yeah, Like I'm curious,

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Speaker 1: what's the pH of that water? Like Icelandic glacial shout

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Speaker 1: out to a great pH water? Like if the water

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Speaker 1: in Champagne, France is that dope? Why don't we have

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Speaker 1: Champagne water? Do you have a competing vodka? I do

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Speaker 1: want to? Like, my my goal is when I'm like

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Speaker 1: huge celeb celeb to have exactly. Oh yeah, Pal Mitchell had,

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Speaker 1: Ryan Reynolds has Aviation Gin, which is now like the

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Speaker 1: biggest gin company. Paul Mitchell was behind Patron. Yeah Mitchell Haircare, Yes, Haircare.

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Speaker 1: Why the haircre was green and the patron was green.

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Speaker 1: You know what that's called cross branding. Yeah, but so

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Speaker 1: subtle that she would so subtle. I actually try to

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Speaker 1: drink his hair products. Cos Amigo sold to George Clooney,

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Speaker 1: has nothing to do with that. Yeah, So Grandy Gerber

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Speaker 1: and whoever the third and fourth dude, they sold it

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Speaker 1: for like a billion dollars. Yeah, whoa. So they so

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Speaker 1: it's done, but they still use their likeness because I

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Speaker 1: see that. I'm like paleling around on trucks. You know. Yeah,

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Speaker 1: the branding is still the same, but they got their check,

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Speaker 1: you know what I mean? Yes? Did he isn't. Diddy doesn't. Yeah,

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Speaker 1: it's it's Daione and then uh Diddy had Voda and

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Speaker 1: then it's actually pretty well it's like in everybody's rail

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Speaker 1: like and like that's considered like a high end, really

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Speaker 1: high end. I've got I used to mark to him

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Speaker 1: a lot and a lot of high I was in

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Speaker 1: a focus group for f and vodka once and they

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Speaker 1: were like that happened? How are they? Like? You are

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Speaker 1: our target marketing because like my friend was working at

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Speaker 1: this marketing company in New York and we were like

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Speaker 1: party kids, you know what I'm saying, and like I

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Speaker 1: would we were the people that were drinking. I'm a

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Speaker 1: vodka drinker, and like it was like it was like

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Speaker 1: what would make you try f in? And I was

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Speaker 1: just like the packaging for me, the branding for me

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Speaker 1: is not that's I am more likely to drink SARAQ

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Speaker 1: than I am Ein. Actually, like Sara I do want

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Speaker 1: to say really quickly, rest in peace to a real scammer.

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Speaker 1: One of the more famous sports teeters of all time

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Speaker 1: this when Rosie Ruiz, who in set the Boston Marathon

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Speaker 1: record for a woman with the time of two hours,

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Speaker 1: thirty one minutes and fifty six seconds, and when she

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Speaker 1: took the women's medal, many of the other runners were

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Speaker 1: very suspicious of her. The reason being they say she

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Speaker 1: wasn't sweating enough, she had on a heavy shirt, and

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Speaker 1: she didn't know anything about running, did not even look

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Speaker 1: like somebody who had run over twenty six miles So

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Speaker 1: this is before they were like checking people like where

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Speaker 1: they had like markers and stuff like people would just

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Speaker 1: sort of there would be spotters who was just like

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Speaker 1: write numbers down or whatever. And during this time she

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Speaker 1: was able to take advantage of this system because also

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Speaker 1: all of the folks, the spotters were mostly paying attention

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Speaker 1: to the men's race. So there you go, use fucking

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Speaker 1: patriarchy to your advantage. Mom, she um so. And also

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Speaker 1: she didn't show up on any video, no fucking photographs

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Speaker 1: that were taken on the first twenty five miles. So

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Speaker 1: how did she do it? Did she just run a

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Speaker 1: mile and win? She just showed up like a mile

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Speaker 1: out and hopped in. They say, like two students caught

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Speaker 1: her just jumping into the race um near Kenmore Square,

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Speaker 1: about one mile from the finish line. Shout out to

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Speaker 1: a queen. That's amazing. When they when they were grilling her,

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Speaker 1: they were like, okay, like what about your training methods,

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Speaker 1: like your pace times, what about intervals? She knew nothing,

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Speaker 1: I'll just be running, you know what I'm saying, Like, yeah,

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Speaker 1: I put my shoes on one shot a time like everybody.

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Speaker 1: She couldn't even identify landmarks. It was just it was all.

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Speaker 1: It just fell. Eight days later, they're like, I'm sorry

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Speaker 1: after talking to you, you clearly know nothing about anything.

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Speaker 1: We also came out for her to qualify for the

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Speaker 1: Boston Marathon, cheated in the New York Marathon and took

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Speaker 1: the fucking subway to that. On the subway, I am

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Speaker 1: obsessed with her and that's amazing anyone that's willing to

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Speaker 1: just like, to me, that is the greatest scam that like,

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Speaker 1: it's so for what for what? You know? It's like,

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Speaker 1: it's not like you're scamming like a ton of money.

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Speaker 1: You do win money when you win these a little bit,

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Speaker 1: but like it, I won this marathon record. I was

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Speaker 1: proud of her. I was so proud that the high

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Speaker 1: must have been crazy. Honestly, I think that it's one

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Speaker 1: of those things where you're like, wouldn't this be crazy?

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Speaker 1: If this worked? And it does, then you're kind of like,

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Speaker 1: holy ship, So what are your methods? You know? Uh?

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Speaker 1: It was a little girl. I started walking, you know

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Speaker 1: what I'm saying, Like, at first I started with the crawl,

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Speaker 1: I started walking, and then one were no, no, we're

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Speaker 1: interested in your training methods as an elite marathon right, yeah, absolutely,

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Speaker 1: So would you do interval training? What do you so?

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Speaker 1: I do all the intervals? You know what I'm saying,

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Speaker 1: So I do? I do here and there, and I

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Speaker 1: do it everywhere. You know what about your runners form?

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Speaker 1: Is there anything you have to address? It's very much

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Speaker 1: play one leg in front of the other. You know

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Speaker 1: what I'm saying. You have Really I think we've seen enough.

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Speaker 1: Miss Mosley. Um, you so much for your time. Eight

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Speaker 1: days later, I was set up. They set me up, Miles.

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Speaker 1: When does pumpkin spice seasons start this year? In my mind,

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Speaker 1: this is this is part of the corporation's way of

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Speaker 1: letting us know what season were in ever, Right, so

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Speaker 1: when you see pumpkin, you're like, oh, it must be fall. Yeah. Uh.

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Speaker 1: Some companies are so fucking thirsty to get this ship

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Speaker 1: going already, Like Dunkin Donuts they're declaring August twenty one

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Speaker 1: the beginning of pumpkin spice season because there's nothing like

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Speaker 1: a thick, rich, pumpkin spice hot latte in late August. Right,

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Speaker 1: And you're like, oh man, what We're great. The butt

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Speaker 1: of your pants is sticking to you because you're sweating.

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Speaker 1: Go on, No, I mean I've just heard that that's

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Speaker 1: what happens to people who sweat a lot, that's what

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Speaker 1: other people not. I'm always dry all the time. But yeah,

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Speaker 1: it's very you know, it's like every single thing is

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Speaker 1: getting inched up closer and closer. I don't don't know. Again,

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Speaker 1: we've talked about this in the past, this really bizarre

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Speaker 1: fixation on pumpkin spice in general, like why it's been deified. Uh,

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Speaker 1: like some people we work with, I think it's like

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Speaker 1: the fucking like the god's blood type DJ dan um.

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Speaker 1: But you don't, I mean it. They love it, love it.

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Speaker 1: They're they're do backflips and ship if you just mentioned

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Speaker 1: the is it polarizing because I don't carry care. It

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Speaker 1: tastes good when it's on a lot to it makesure

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Speaker 1: a lot. It tastes like it taste makes your coffee

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Speaker 1: taste more like it's a milkshake, which is never a bad.

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Speaker 1: Dan doesn't eat anything that is not pumpkin spice, Like

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Speaker 1: his cheerios are pumpkin spice. Like everything he has pumpkin

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Speaker 1: spice that he dusts on a steak exactly. Yes, it

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Speaker 1: would take a dries it out the sun and then

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Speaker 1: grinds it up into a fine dust. There's he's got

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Speaker 1: a mental problem. He's like the peppermint milcah is good.

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Speaker 1: I like that, and it's not good. It's like five

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Speaker 1: thousand cows. That's the thing. Of all these things, single

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Speaker 1: one is even close to being my favorite one. A

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Speaker 1: coffee bean and tea leaf, the Winter Dream latte. I mean,

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Speaker 1: I'll put that there. I like the Black Forest. Isn't

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Speaker 1: that just cherries and chocolate and milkshakes? Milk check it is.

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Speaker 1: I just got caffeine in it even better because it's

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Speaker 1: chocolate covered coffee beans in there too. And I remember

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Speaker 1: the first time I had it. I was like working

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Speaker 1: with a one million calories my first adult job, like

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Speaker 1: at an office, and everybody was like, oh, let's go

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Speaker 1: get coffee and coffee bean. I'm like, I don't drink because,

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Speaker 1: like to this day, I cold brew is the only

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Speaker 1: thing I've ever gotten a semblance of a caffeine boost from.

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Speaker 1: So to me, going to coffee was like, I don't

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Speaker 1: know what I'm gonna border here was just bad tasting water. Yeah,

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Speaker 1: I just go. I get the most childish fucking thing

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Speaker 1: on the menu, and it was that black Forest. Basically

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Speaker 1: shake and they're like, whoa, you don't want a coffee.

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Speaker 1: I'm like, na, this is my favorite. Right, it was great,

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Speaker 1: it was delicious. But then I'm like, I look like

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Speaker 1: an idio. Everybody's drinking their hot things. I have like

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Speaker 1: a fucking gigantic couple whipped cream, like yeah, after you

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Speaker 1: smoke weed, Oh my god, that thing. But you're ahead

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Speaker 1: of your time, man, because they just got more and

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Speaker 1: more ridiculous and childish looking. Yeah right, a unicorn chick

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Speaker 1: which was purple, pink and blue. Yeah, I don't look,

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Speaker 1: that's the thing they really like to. They realized if

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Speaker 1: we put cool colors in it, people will buy it.

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Speaker 1: Because there's the unit. What was the other one. I

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Speaker 1: think they're like a casino though, where they're just like

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Speaker 1: it's they're just shining stuff. They're like, hey, remember uh

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Speaker 1: the band Jerry Pie. They're here this weekend and people yeah,

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Speaker 1: and then people come see them, and then they spend

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Speaker 1: a million dollars while they're there. And that's what Starbucks realizes,

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Speaker 1: like if we can get them in that store or

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Speaker 1: this weird thing they can take a photo of, they'll

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Speaker 1: buy three other things. It's just like and I say

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Speaker 1: it and everyone's like, oh yeah, and then we got

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Speaker 1: and they work. Yeah, and you're in there to you

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Speaker 1: and your Instagram stories, but like got three of them

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Speaker 1: fill that whole baby. Um, Well, order just coffee because

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Speaker 1: it I use it when I'm on the road. That

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Speaker 1: apps pretty good and it's like familiar Starbucks. Yeah, like

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Speaker 1: when I'm traveling, Oh Starbucks. Yeah, but I just order

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Speaker 1: coffee there and that always just throws them off, like

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Speaker 1: just some blonde rose in the right drip. They just

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Speaker 1: stare at me like in a cup. Just turn around

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Speaker 1: and give it to me, and I'm gonna get out

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Speaker 1: of you. We can turn into a vapor. You can

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Speaker 1: I see a cup of coffee. Let me see if

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Speaker 1: we if we make those. I do wonder how much

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Speaker 1: of this move is based on them knowing that this

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Speaker 1: is going to be earlier than Starbucks. Right, so this

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Speaker 1: will be the only place that you can go to

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Speaker 1: get pumpkin spice. But then for the month of a

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Speaker 1: some dude in an office did some math. Yeah, and

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Speaker 1: August one, we can have exclusivity for ten days or

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Speaker 1: something before we'll make a hundred and fifty extra thousand dollars. Yeah,

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Speaker 1: but like you get a boat. I just like the

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Speaker 1: inevitable conclusion of all these things, like you know that

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Speaker 1: and basically almost after Halloween were essentially already in Christmas

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Speaker 1: like mixed with Thanksgiving that if Duncan does this, then

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Speaker 1: what Starbucks next year is like, oh, actually August fourteenth

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Speaker 1: and when we're bringing pumpkin spice latte and then pumpkin

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Speaker 1: spice lattes becomes like a dad's and grads thing like graduations,

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Speaker 1: graduation time, you know, pumpkin spice ltd. This justin from

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Speaker 1: resident PSL addict DJ Daniel. He said Starbucks they're starting

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Speaker 1: there is on August, so they're gonna get six days. Wait,

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Speaker 1: I guess that's that hundred fifty extra okay yep. He

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Speaker 1: referred to it as the PSL so casually the way

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Speaker 1: he said it was it was horrifying. I think the

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Speaker 1: part that makes me laugh is the acstatic to it,

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Speaker 1: because it's like it's like the pumpkin color. So people

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Speaker 1: are like, this is the pumpkin season, so I spend

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Speaker 1: my money on the pumpkins. And then like you said,

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Speaker 1: like Halloween is like it's a brighter orange, so and

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Speaker 1: then there's a black to us. You spend your money

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Speaker 1: on the black, and then it's like red and green.

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Speaker 1: That's that's the spend a lot of money green and

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Speaker 1: then he saves him and then he gets red again

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Speaker 1: for Valentine's Day. That what the Christmas colors represent you

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Speaker 1: with blood and money. That's how I was raised to mise. Yeah,

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Speaker 1: that is intent. All right, we're gonna take a quick break.

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Speaker 1: We'll be right back, and we're back, miles. I noticed

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Speaker 1: you guys covered how to how to fight seagulls while

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Speaker 1: I was gone, just how to stare a seagull, to

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Speaker 1: how to stare a seagull down well, where I was,

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Speaker 1: the city of Ocean City, New Jersey was also making

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Speaker 1: news or fighting seagulls in in a unique way. When

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Speaker 1: you asked about it, you're like, oh, yeah, you talked

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Speaker 1: and I was like, no, it was from England. He's like, yeah,

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Speaker 1: but the falconers and stuff, and I'm like, you know,

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Speaker 1: what the fun are you talking about? My thing was

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Speaker 1: purely about like staring out of seagull if they came

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Speaker 1: to your chip back in anyway, like the seagull wars

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Speaker 1: are upon us is what I'm talking about. Thank you.

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Speaker 1: Uh yeah, this is the only time I've ever seen

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Speaker 1: Ocean City make national news. But the Ocean City was

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Speaker 1: not Jersey Shore. It's insane. It's a little different. Oh wow,

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Speaker 1: there's a furious head shaking all around. The room's a

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Speaker 1: little different, a little different, okay anyway, but anyways, and

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Speaker 1: Gatlinburg and Pigeon Forge. So people are making a big

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Speaker 1: deal because, uh, they hired a bunch of falconers and

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Speaker 1: like people who had like trained birds of prey to

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Speaker 1: patrol the boardwalk in Ocean City to scare off the seagulls.

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Speaker 1: Yeah it worked. Using nature to fight nature. Uh yeah,

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Speaker 1: using nature to fight nature. But it's not like they

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Speaker 1: just released a bunch of falcons. They had had them

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Speaker 1: on like a dude's arm with a little funny hats

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Speaker 1: on and ship. Uh and it worked. Man. I was

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Speaker 1: walking down the sidewalk and I was like, what's different

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Speaker 1: about this? I can hear the ocean. That's weird. And

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Speaker 1: then I was like, oh, yeah, there's no seagulls like

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Speaker 1: you can't just it's not just like like somewhere. Yeah,

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Speaker 1: they just went to a different town on the Crazy Shore.

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Speaker 1: Basic they went to a town had a smaller falconer budget,

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Speaker 1: I guess how many falconers did you see? Like I didn't.

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Speaker 1: I didn't see any like in the wild falcons. I've

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Speaker 1: seen one in Orange County actually at a hotel, just

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Speaker 1: like patrolling the hotel pool because to keep the seagulls

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Speaker 1: away and like it's it's apparently and except it way.

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Speaker 1: I just like though that, like they've there's really no

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Speaker 1: technological way to really do away with seagulls. There is

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Speaker 1: a gun. Okay, yeah maybe, but you don't want to

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Speaker 1: be shooting off your pistol by the kids pool. But

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Speaker 1: like the fact that you could just be like, yo,

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Speaker 1: get that guy with the hawk, yeah, and then the

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Speaker 1: seagulls shook gone. Although I feel like, what's the what's

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Speaker 1: the what's your weird cousin? What's his hobby? Falcon? Falconer? Right?

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Speaker 1: See if that will help bring his Falcon's he doing

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Speaker 1: with that thing? I think it dies that. I don't

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Speaker 1: know if that's a good Jersey impression, h some kind

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Speaker 1: of more like a phil accent, which is pretty close.

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Speaker 1: Pretty yeah, well, look at a lot of vacation in there.

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Speaker 1: He's on vacation. The couple. I wonder though, if because

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Speaker 1: you have these birds like they would fly right, or

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Speaker 1: they just the mere presence of them was enough. They

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00:21:49,640 --> 00:21:52,840
Speaker 1: would let the unleash it so inevitably, right, wouldn't there

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Speaker 1: be some some families who are having to explain to

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Speaker 1: their children why a fucking falcon was just just destroying,

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00:21:58,840 --> 00:22:00,840
Speaker 1: devouring a seagull right in front of I don't think

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Speaker 1: they eat them. I think they just scare them away.

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Speaker 1: It's like a territory, aren't they car carnivorous birds? Yeah,

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Speaker 1: I mean, Miles, you and I saw we saw a

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Speaker 1: hawk on Air Street in the streets here in Los Angeles.

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Speaker 1: We saw a hawk eating a pigeon, just like ripping

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Speaker 1: it apart. But it was legit, like alive. It was

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00:22:18,160 --> 00:22:21,840
Speaker 1: keeping it down with its talents and just eating it. Yeah.

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00:22:22,200 --> 00:22:27,160
Speaker 1: I love hawks against uh. But anyways, that ship works

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Speaker 1: fight nature with nature. Uh. I think it's one of

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00:22:29,960 --> 00:22:31,680
Speaker 1: those pigeons is like goes in for a new car,

399
00:22:31,760 --> 00:22:34,520
Speaker 1: like real slow know when you're gonna slow down, Like

400
00:22:34,560 --> 00:22:36,159
Speaker 1: that's what he did to the hawk and the hawks

401
00:22:36,240 --> 00:22:40,320
Speaker 1: like no, dude, I mean eat you in the street,

402
00:22:40,480 --> 00:22:43,600
Speaker 1: so people know. I think you can just I think

403
00:22:43,640 --> 00:22:48,600
Speaker 1: you can find videos hawk eating hot seating hawk kill

404
00:22:48,680 --> 00:22:51,080
Speaker 1: and eat seagull Well, I think they're I think birds

405
00:22:51,160 --> 00:22:55,240
Speaker 1: they because when you drive long periods, especially through the Midwest,

406
00:22:55,240 --> 00:22:59,960
Speaker 1: you'll see a hawk every so just on the line,

407
00:23:00,080 --> 00:23:03,480
Speaker 1: need to see them. So it's like I think they're

408
00:23:03,520 --> 00:23:06,359
Speaker 1: like crows to where they have like a territory, so

409
00:23:06,440 --> 00:23:11,000
Speaker 1: they're not like they may mess one seagull up just so. Yeah,

410
00:23:11,200 --> 00:23:14,199
Speaker 1: that reminds me like I went fishing in the in

411
00:23:14,280 --> 00:23:17,440
Speaker 1: the Atlanta and the Gulf part down in Florida one

412
00:23:17,440 --> 00:23:20,920
Speaker 1: time in the back channels and there's seagulls around because

413
00:23:20,920 --> 00:23:22,480
Speaker 1: we were trying to get bait and all this stuff.

414
00:23:22,800 --> 00:23:24,840
Speaker 1: And our guy was like mad, He's like he's doom

415
00:23:24,880 --> 00:23:26,879
Speaker 1: seagulls blah blah. I wouldn't pay attention. And I was

416
00:23:26,880 --> 00:23:29,400
Speaker 1: just like half stoned at eight thirty in the morning,

417
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Speaker 1: like this is fun. Picked a good job where I

418
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Speaker 1: get to go do this. And I turned around and

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00:23:35,200 --> 00:23:38,720
Speaker 1: the god is he had caught a bird on his

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Speaker 1: line and he was bringing it in and I just

421
00:23:40,800 --> 00:23:43,640
Speaker 1: stopped doing what I'm doing. What's he gonna do here?

422
00:23:44,680 --> 00:23:46,920
Speaker 1: And he grabs the bird, he reels it into the

423
00:23:47,000 --> 00:23:49,600
Speaker 1: to the top of the rod. He grabs it and

424
00:23:49,600 --> 00:23:53,919
Speaker 1: then rips its head off, Yes, and then throws it

425
00:23:53,960 --> 00:23:56,520
Speaker 1: back in the water. And he was like, they'll get

426
00:23:56,560 --> 00:23:59,440
Speaker 1: the message. Let's go somewhere else. I'm technically not supposed

427
00:23:59,480 --> 00:24:02,840
Speaker 1: to do stuff like that. And we're like, what is happening,

428
00:24:02,960 --> 00:24:07,439
Speaker 1: crocodile dundee And you know what? The birds left us

429
00:24:07,520 --> 00:24:11,240
Speaker 1: uh alone. Yeah, They're like, hey, that dude's the one

430
00:24:11,280 --> 00:24:16,080
Speaker 1: that ripped Larry's head off. That's snatched it off. Wow. Yah.

431
00:24:16,400 --> 00:24:20,959
Speaker 1: I like that. He's like, technically not I was legally

432
00:24:26,040 --> 00:24:29,160
Speaker 1: disturbing for others to have just witnessed and also animal

433
00:24:30,160 --> 00:24:33,760
Speaker 1: to Jesus Christ. Yeah. I once got a pelican on

434
00:24:33,760 --> 00:24:37,600
Speaker 1: on the hook and the uh in the gulf because

435
00:24:37,640 --> 00:24:42,000
Speaker 1: I caught a fish and then the pelican I was

436
00:24:42,440 --> 00:24:44,879
Speaker 1: like twelve of them was like scared. I was like

437
00:24:45,200 --> 00:24:47,679
Speaker 1: what do I do? Like people are gathering around. I

438
00:24:47,720 --> 00:24:50,280
Speaker 1: was like reeling in a giant pelican that was and

439
00:24:50,359 --> 00:24:52,200
Speaker 1: this dude just came up and like did a couple

440
00:24:52,200 --> 00:24:56,159
Speaker 1: of times with the with the fishing rod and yanked

441
00:24:56,200 --> 00:24:58,520
Speaker 1: it out. Oh good, I was. I thought maybe we

442
00:24:58,520 --> 00:25:02,040
Speaker 1: were headed for another Billy Wayne type. I didn't do it.

443
00:25:02,080 --> 00:25:04,360
Speaker 1: I was just there. No, I know, I'm saying that

444
00:25:04,520 --> 00:25:06,159
Speaker 1: it was a similar ending, like that's just how they

445
00:25:06,160 --> 00:25:08,440
Speaker 1: handled it on boats. Uh. It was like one of

446
00:25:08,480 --> 00:25:10,760
Speaker 1: those traumatic things where would have happened, like you don't

447
00:25:10,760 --> 00:25:15,679
Speaker 1: even react. I just kept laughing. Was like okay, okay,

448
00:25:16,080 --> 00:25:18,199
Speaker 1: what kind of bird was it? It was a seagull?

449
00:25:18,240 --> 00:25:20,440
Speaker 1: A seagull? Yeah, because they were just messing. We're trying

450
00:25:20,440 --> 00:25:23,119
Speaker 1: to get a bunch of fish for bait. Yeah, just

451
00:25:23,160 --> 00:25:26,640
Speaker 1: the idea though that someone's like, let me just bare hand.

452
00:25:27,640 --> 00:25:31,440
Speaker 1: It was not the first or last time that it was.

453
00:25:31,680 --> 00:25:35,320
Speaker 1: That's his way of doing that. Remember his name, Like

454
00:25:35,320 --> 00:25:36,879
Speaker 1: Billy would love for you to come back out with us.

455
00:25:36,920 --> 00:25:40,600
Speaker 1: You're like, nah, it was a robb. We got a

456
00:25:40,640 --> 00:25:43,520
Speaker 1: lot of fish that day. We did like he's I mean,

457
00:25:43,760 --> 00:25:46,720
Speaker 1: you know, I come from East Tennessee. So it wasn't

458
00:25:46,760 --> 00:25:49,679
Speaker 1: that shocking to me. It was just more like, oh, okay,

459
00:25:49,760 --> 00:25:53,360
Speaker 1: well that's how we're doing it. Swiftness, yeah, like just

460
00:25:53,560 --> 00:25:56,480
Speaker 1: and how clean everything was, like he just knew. I

461
00:25:56,520 --> 00:25:59,600
Speaker 1: was like, oh wow, okay, we're gonna tip him. We're

462
00:25:59,600 --> 00:26:03,159
Speaker 1: gonna tip this guy. What what kind of fish do

463
00:26:03,160 --> 00:26:05,359
Speaker 1: you go off for? It was a red snapper, I

464
00:26:05,359 --> 00:26:07,560
Speaker 1: think is what we're doing. And it was cool because

465
00:26:07,560 --> 00:26:10,760
Speaker 1: the club we're working at. Also, the guy was also

466
00:26:10,800 --> 00:26:13,520
Speaker 1: a guy that owned the club and restaurant. So we

467
00:26:13,560 --> 00:26:15,760
Speaker 1: took the fish, cleaned it, and then he took it

468
00:26:15,800 --> 00:26:19,720
Speaker 1: to so good they dude to rip this eagle's head off. No,

469
00:26:19,880 --> 00:26:22,920
Speaker 1: he handed it to the owner. He had other clients.

470
00:26:23,200 --> 00:26:27,080
Speaker 1: He was comedy club too. Know well that guy is

471
00:26:27,119 --> 00:26:29,600
Speaker 1: also a guy. But he was like, I'm I'm sending

472
00:26:29,600 --> 00:26:35,000
Speaker 1: out with the best guy in town. We're like, he's good.

473
00:26:35,080 --> 00:26:41,040
Speaker 1: Ripper do out there. Ripper was real good. Let's get

474
00:26:41,080 --> 00:26:44,440
Speaker 1: into the first and most important story of the day.

475
00:26:44,720 --> 00:26:50,679
Speaker 1: Chris Cuomo was insulted. He was pissed. Yeah, Cuomo's pissed.

476
00:26:50,720 --> 00:26:53,159
Speaker 1: You get he was at he was on Shelter Island

477
00:26:53,160 --> 00:26:55,280
Speaker 1: with his family and some dude just got in his

478
00:26:55,320 --> 00:26:58,359
Speaker 1: face and apparently did the thing you're never supposed to

479
00:26:58,440 --> 00:27:01,360
Speaker 1: do to an Italian man. I thought, that's what you were.

480
00:27:01,480 --> 00:27:03,840
Speaker 1: No park As Pictures from the right called me Frado.

481
00:27:04,119 --> 00:27:06,200
Speaker 1: My name is Chris Womo. I'm an anchor on C.

482
00:27:06,760 --> 00:27:10,520
Speaker 1: Frado's from the Godfather. It was that weak brother and

483
00:27:10,520 --> 00:27:13,040
Speaker 1: they use it as an Italian dispersion. You need you Italian.

484
00:27:14,119 --> 00:27:17,800
Speaker 1: You're a fucking insult to your people. It's an insult

485
00:27:17,800 --> 00:27:19,959
Speaker 1: to your fucking people. It's like a young word for us.

486
00:27:20,840 --> 00:27:23,239
Speaker 1: It's that a cool fucking thing. You're a much more

487
00:27:23,320 --> 00:27:26,080
Speaker 1: reasonable guy in person than you seem to be on television. Yeah,

488
00:27:26,080 --> 00:27:27,680
Speaker 1: but if you want to play, then we'll fucking play.

489
00:27:27,840 --> 00:27:29,280
Speaker 1: It's got something you want to say about what I

490
00:27:29,400 --> 00:27:31,080
Speaker 1: want television and say if I'm going to fall me

491
00:27:31,119 --> 00:27:33,720
Speaker 1: and say listen what I want? Any problem? You know

492
00:27:33,800 --> 00:27:36,000
Speaker 1: you're gonna have a big fucking bro what's as a

493
00:27:36,000 --> 00:27:38,359
Speaker 1: little different on teasing, Let's go fucking selfing like that

494
00:27:39,119 --> 00:27:40,960
Speaker 1: insult you called me fred It was like I call

495
00:27:41,000 --> 00:27:43,679
Speaker 1: you punk pitch you like that. You want your nickname

496
00:27:43,760 --> 00:27:45,879
Speaker 1: and call you that? I called me Fradough. I love

497
00:27:45,920 --> 00:27:47,960
Speaker 1: my name is not fucking Frado. Your name was. You

498
00:27:48,000 --> 00:27:49,960
Speaker 1: did not think my name was fucking Fredough. I'd be

499
00:27:49,960 --> 00:27:51,359
Speaker 1: a lie. I think I want to be give a

500
00:27:51,400 --> 00:27:53,239
Speaker 1: hand stand up like a man. I'm trading up man.

501
00:27:53,240 --> 00:27:55,960
Speaker 1: I'd be a man sucking own it. Then on what

502
00:27:56,119 --> 00:27:58,440
Speaker 1: you said, Hey, they know what you said. Let's say

503
00:27:59,359 --> 00:28:01,399
Speaker 1: with you. You're to have a fucking from what are

504
00:28:01,400 --> 00:28:05,160
Speaker 1: you all about? Something? I'll throw you down these stairs

505
00:28:05,200 --> 00:28:09,600
Speaker 1: like a pump you know you can, why don't you

506
00:28:09,600 --> 00:28:17,320
Speaker 1: do it? Okay, So Chris Cuomo, clearly he's very strong,

507
00:28:17,320 --> 00:28:21,960
Speaker 1: and his masculinity whatever that video has been suppressing his

508
00:28:22,400 --> 00:28:26,280
Speaker 1: strong like bronx accent. I don't know what that is whatever. Yeah,

509
00:28:26,359 --> 00:28:28,560
Speaker 1: and he's also demonstrating he does not know what a

510
00:28:28,640 --> 00:28:33,040
Speaker 1: racial slur is, right when he goes, you're calling me Fredo. Yeah,

511
00:28:33,080 --> 00:28:36,800
Speaker 1: that's like the N word for Italians coming to the

512
00:28:36,880 --> 00:28:41,200
Speaker 1: N word is you got to really come strong but wrong. Yeah.

513
00:28:41,240 --> 00:28:42,680
Speaker 1: I mean, if you're gonna if you're gonna swing on

514
00:28:42,680 --> 00:28:45,320
Speaker 1: that pitch, it better be a big swing because he

515
00:28:45,360 --> 00:28:48,160
Speaker 1: went for a bunt on that one. I mean, yeah,

516
00:28:48,360 --> 00:28:52,240
Speaker 1: it's just it's all based off of that Michael Corleone's

517
00:28:52,280 --> 00:28:55,520
Speaker 1: brother from The Godfather. Fredo was like, you know, I

518
00:28:55,560 --> 00:28:57,959
Speaker 1: get it he was lame, but for it to have

519
00:28:58,120 --> 00:29:01,880
Speaker 1: that much weight for someone and to actually then shame

520
00:29:01,920 --> 00:29:05,000
Speaker 1: another Italian American, He's like, good, that's a slur against

521
00:29:05,040 --> 00:29:10,239
Speaker 1: our people. Like, yeah, I didn't realize that. I mean

522
00:29:10,280 --> 00:29:13,720
Speaker 1: I guess in a way, Uh, you know, Godfather is Cannon.

523
00:29:14,120 --> 00:29:18,880
Speaker 1: Yeah yeah, um, something tells me that's not the first

524
00:29:18,920 --> 00:29:22,040
Speaker 1: time he's been called but possibly well, he said punk's

525
00:29:22,080 --> 00:29:26,360
Speaker 1: on the right or something right. I mean, like that

526
00:29:26,680 --> 00:29:29,400
Speaker 1: person who walks up to a famous person and like

527
00:29:29,600 --> 00:29:32,640
Speaker 1: insults them, is like, what's wrong with you? Well? This

528
00:29:32,680 --> 00:29:35,920
Speaker 1: person is like, uh, you want to be right wing?

529
00:29:36,000 --> 00:29:41,600
Speaker 1: Got you like who? He seemed like a natural comedian. Yeah,

530
00:29:42,240 --> 00:29:45,200
Speaker 1: it's pretty funny. Yeah, So I mean, you know what's

531
00:29:45,200 --> 00:29:48,120
Speaker 1: funny is Sean Hannity actually was like, you know what,

532
00:29:48,920 --> 00:29:52,160
Speaker 1: Chris Cuomo doesn't have to apologize for anything. This is

533
00:29:52,200 --> 00:29:54,280
Speaker 1: his tweet, he said, I say good for Chris Cuomo.

534
00:29:54,520 --> 00:29:56,000
Speaker 1: He's out with his nine year old daughter and his

535
00:29:56,040 --> 00:29:57,840
Speaker 1: wife and this guy is being a jackass in front

536
00:29:57,880 --> 00:30:00,480
Speaker 1: of his family. In my humble opinion, Chris Cuomo zero

537
00:30:00,880 --> 00:30:03,440
Speaker 1: to apologize for. He deserves you. I'm just really glad.

538
00:30:03,440 --> 00:30:05,800
Speaker 1: That's where Shawan Hannony decide to like the hill he

539
00:30:05,840 --> 00:30:08,720
Speaker 1: decided to die, and he's like, you know what, I'm

540
00:30:08,760 --> 00:30:10,800
Speaker 1: going to break ties with my party for a second.

541
00:30:11,080 --> 00:30:15,080
Speaker 1: Everything else is going great. Everything to say something about this,

542
00:30:15,200 --> 00:30:17,760
Speaker 1: It's like it's like that meme of the two arms

543
00:30:18,320 --> 00:30:20,680
Speaker 1: locking in like a you know from like your son

544
00:30:20,720 --> 00:30:23,720
Speaker 1: of a bit from were on one side and say

545
00:30:23,760 --> 00:30:26,000
Speaker 1: fox News, the other side says CNN and the fist

546
00:30:26,080 --> 00:30:31,360
Speaker 1: grab Fredo is a slur. You know what. We don't

547
00:30:31,360 --> 00:30:34,520
Speaker 1: fucking agree on a lot, but that's fucking disrespectful. There

548
00:30:34,560 --> 00:30:37,280
Speaker 1: was a girl with curly blonde hair like me who

549
00:30:37,400 --> 00:30:41,640
Speaker 1: my friend called a fucking Ramen noodle head, and um,

550
00:30:42,600 --> 00:30:47,120
Speaker 1: I kind of thought it was really funny though. It's

551
00:30:47,240 --> 00:30:50,200
Speaker 1: like he was like that fucking Ramen noodle head and

552
00:30:50,200 --> 00:30:52,880
Speaker 1: I was like, Hey, I have blonde curly hair too.

553
00:30:53,440 --> 00:30:56,720
Speaker 1: That being said, I would never say, hey, does your

554
00:30:56,720 --> 00:31:03,080
Speaker 1: mom have blonde curly hair? Yeah, so you're disrespecting people, right, yeah,

555
00:31:03,600 --> 00:31:06,320
Speaker 1: just insane in any way comparing it to the end

556
00:31:06,320 --> 00:31:09,320
Speaker 1: word would be right insane. Hey, well he's a tough

557
00:31:09,360 --> 00:31:11,960
Speaker 1: guy we found out, and you know, good for him,

558
00:31:12,000 --> 00:31:16,360
Speaker 1: I guess. But the the ram were was that around

559
00:31:16,360 --> 00:31:18,400
Speaker 1: like when Justin Timberlake had his hair that looked like

560
00:31:18,480 --> 00:31:19,920
Speaker 1: Raman noddles. Cause I feel like that was a very

561
00:31:19,920 --> 00:31:24,479
Speaker 1: involgue his hair really yea, because's talking about a wet

562
00:31:24,760 --> 00:31:27,400
Speaker 1: a wetness to it and like the tips were so

563
00:31:27,440 --> 00:31:31,680
Speaker 1: frosted they could only be mistaken for uncooked rama noodles.

564
00:31:31,840 --> 00:31:35,880
Speaker 1: I'm sure that Chris Cuomo's wife and daughter were thrilled

565
00:31:35,920 --> 00:31:39,680
Speaker 1: that he chose to take it to the mats on

566
00:31:39,720 --> 00:31:42,400
Speaker 1: this one and then just like letting it roll off.

567
00:31:42,640 --> 00:31:44,440
Speaker 1: I mean he was doing the thing that like rich

568
00:31:44,480 --> 00:31:46,360
Speaker 1: people who want to act tough do, which is like

569
00:31:46,480 --> 00:31:50,320
Speaker 1: say everything except get violent, or like if you know

570
00:31:50,360 --> 00:31:53,760
Speaker 1: people who are like who are about that ship there

571
00:31:53,800 --> 00:31:56,520
Speaker 1: typically or just like, no, my ego has been damaged

572
00:31:56,560 --> 00:31:58,320
Speaker 1: and I'm just going to react violently, where he's like,

573
00:31:58,640 --> 00:32:01,840
Speaker 1: I'll fucking throw you down the stairs. Is that not enough? Uh?

574
00:32:02,120 --> 00:32:07,760
Speaker 1: Fuck you to eat me? He said he picks chunks

575
00:32:07,800 --> 00:32:10,600
Speaker 1: of people like me out of his stool. No he didn't.

576
00:32:10,680 --> 00:32:13,640
Speaker 1: Yeah he did when I worked at ABC News. He's

577
00:32:13,680 --> 00:32:16,320
Speaker 1: just he's a very friend. He picked chunks out of

578
00:32:16,320 --> 00:32:20,360
Speaker 1: his stool. It's like one of the things that falls

579
00:32:20,360 --> 00:32:28,240
Speaker 1: apart right away for breakfast, so you examine your stool.

580
00:32:29,600 --> 00:32:32,800
Speaker 1: I'm having some some sort of bowel things right now,

581
00:32:32,880 --> 00:32:35,040
Speaker 1: and the doctor says I need to send Look, look,

582
00:32:35,120 --> 00:32:39,320
Speaker 1: fuck you kids. I do think that um like toxic

583
00:32:39,400 --> 00:32:43,440
Speaker 1: masculinity is inherently unattractive, like guys who are going to

584
00:32:43,480 --> 00:32:46,120
Speaker 1: pick a fight with someone I like, just from a

585
00:32:46,160 --> 00:32:49,800
Speaker 1: female standpoint, I think that's actually repulsive, like which I

586
00:32:49,840 --> 00:32:52,200
Speaker 1: don't think you can know, unless you're in that moment,

587
00:32:52,360 --> 00:32:55,280
Speaker 1: we're like, oh my god, no, you're being so pathetic

588
00:32:55,400 --> 00:32:59,080
Speaker 1: right now, Like the strong move is just to walk away. Right.

589
00:32:59,160 --> 00:33:02,320
Speaker 1: Obviously there's like circumstances where that's not the case, but

590
00:33:02,400 --> 00:33:06,320
Speaker 1: for the most part, like fighting someone on vacation, right

591
00:33:06,720 --> 00:33:10,800
Speaker 1: but who knows. His wife was like, oh my gosh,

592
00:33:10,840 --> 00:33:21,120
Speaker 1: it's right now, BRONI down the stairs, Christopher. There's a

593
00:33:21,160 --> 00:33:24,520
Speaker 1: story that echoes something I had heard Trump has done

594
00:33:24,520 --> 00:33:27,040
Speaker 1: for years, that he was using an analog form of

595
00:33:27,080 --> 00:33:31,880
Speaker 1: Twitter before anyone. Yeah. Basically, when the New Yorker profiled

596
00:33:32,040 --> 00:33:36,680
Speaker 1: him and the person who wrote the story, it wasn't flatter.

597
00:33:36,720 --> 00:33:40,280
Speaker 1: I mean, it was just an honest account of spending

598
00:33:40,680 --> 00:33:43,760
Speaker 1: a week with Donald Trump and how he was just

599
00:33:43,840 --> 00:33:47,680
Speaker 1: completely empty and was like, hey, it's a pretty cool life. Huh.

600
00:33:48,000 --> 00:33:50,480
Speaker 1: I said that debate life, don't I How cool is

601
00:33:50,520 --> 00:33:55,360
Speaker 1: my life? Literally like that's all he kept just literally saying. Yeah.

602
00:33:55,360 --> 00:33:57,320
Speaker 1: So the guy wrote the article and then like a

603
00:33:57,360 --> 00:33:59,760
Speaker 1: couple of weeks later, he got in the mail a

604
00:34:00,000 --> 00:34:03,880
Speaker 1: he's of the article with loser written on it from

605
00:34:03,920 --> 00:34:10,600
Speaker 1: Donald Trump. Hey Tom, you are a loser, just scrawled

606
00:34:10,640 --> 00:34:13,279
Speaker 1: across the page because he just like gets mad at

607
00:34:13,320 --> 00:34:16,040
Speaker 1: stuff and writes on it. Yeah, well, this falls perfectly

608
00:34:16,080 --> 00:34:23,120
Speaker 1: in line with there's no way right right, excepts do

609
00:34:23,320 --> 00:34:26,920
Speaker 1: not trust her. He probably has like he's like, what

610
00:34:26,960 --> 00:34:28,759
Speaker 1: you don't know is there's also a copy for his

611
00:34:29,920 --> 00:34:33,279
Speaker 1: together in bed. He's always had a complicated relationship with

612
00:34:33,320 --> 00:34:38,080
Speaker 1: Justin Trudeau. Yeah, well, because Justin Trudeau has you know,

613
00:34:38,320 --> 00:34:40,959
Speaker 1: stood up to him, and he like he always says

614
00:34:41,400 --> 00:34:44,280
Speaker 1: apparently like about him, like when he's not around Trudeau

615
00:34:44,320 --> 00:34:46,600
Speaker 1: or just like you know, casually the people in the cabinet.

616
00:34:46,640 --> 00:34:48,839
Speaker 1: He's like, he always refers him as a tough guy.

617
00:34:49,640 --> 00:34:51,520
Speaker 1: He's like, yeah, he's a tough guy. This guy is

618
00:34:51,520 --> 00:34:53,879
Speaker 1: a tough guy. About Trude Trudeau, he's a tough guy.

619
00:34:54,960 --> 00:34:57,920
Speaker 1: Like that's like the weird nickname for him, that he

620
00:34:57,920 --> 00:34:59,920
Speaker 1: always refers to him as a tough guy, which is

621
00:35:00,360 --> 00:35:02,160
Speaker 1: of course the thing you say when you're like a

622
00:35:02,239 --> 00:35:06,160
Speaker 1: dude trying to like fight guy. Huh okay. I also

623
00:35:06,239 --> 00:35:10,480
Speaker 1: think he must be threatened by Trudeau's good looks like

624
00:35:10,520 --> 00:35:13,480
Speaker 1: that can't for someone who's so obsessed with their appearance

625
00:35:13,520 --> 00:35:15,600
Speaker 1: and the long ties in the tan. You don't even

626
00:35:15,600 --> 00:35:19,600
Speaker 1: talk about his hair. Um it's painted on the grease paint. Yeah,

627
00:35:19,640 --> 00:35:22,560
Speaker 1: it's like it's again, it's just too much of a

628
00:35:22,680 --> 00:35:27,240
Speaker 1: villain situation. Um, but you yeah, just to see someone

629
00:35:27,320 --> 00:35:32,319
Speaker 1: who's so almost jokingly attractive and who your daughter wants

630
00:35:32,360 --> 00:35:40,719
Speaker 1: to fuck, like that picture of just in profile and

631
00:35:40,840 --> 00:35:46,600
Speaker 1: she's looking at his mouth with her pen in her mouth,

632
00:35:49,480 --> 00:35:52,080
Speaker 1: the pen is dangling out of her mouth. I am

633
00:35:52,160 --> 00:35:54,480
Speaker 1: too self conscious to have ever done that in front

634
00:35:54,520 --> 00:35:59,040
Speaker 1: of a crush because it's too overtly secture, right right, right,

635
00:35:59,160 --> 00:36:03,279
Speaker 1: good God is like I'm an age seductress. My husband

636
00:36:03,480 --> 00:36:06,480
Speaker 1: is a giant twelve year old and I will have

637
00:36:06,560 --> 00:36:09,080
Speaker 1: sex with you that. Yeah. I wonder what Jared how

638
00:36:09,160 --> 00:36:12,000
Speaker 1: Jared feels also seeing that photo, because it's like him

639
00:36:12,080 --> 00:36:16,840
Speaker 1: just on like Chad Pills, basically bigger and bulkier and

640
00:36:16,920 --> 00:36:21,880
Speaker 1: more masculine anyway, So with Trudeau, it's the same ship. Right.

641
00:36:21,920 --> 00:36:24,560
Speaker 1: There was an issue of Bloomberg Business Week. This is

642
00:36:24,560 --> 00:36:27,680
Speaker 1: from seventeen in May. There's a picture of Trudeau and

643
00:36:27,680 --> 00:36:32,520
Speaker 1: the headline just said the anti Trump. So our man

644
00:36:32,960 --> 00:36:36,799
Speaker 1: tore the fucking cover off the magazine and wrote on

645
00:36:36,840 --> 00:36:39,720
Speaker 1: it in silver sharpie. And this is according to people

646
00:36:39,880 --> 00:36:42,960
Speaker 1: with direct knowledge, something to the effect of looking good.

647
00:36:43,080 --> 00:36:48,600
Speaker 1: I hope it's not true. Not a well thought out

648
00:36:48,600 --> 00:36:52,759
Speaker 1: response either, just hope it's not true, like that, like

649
00:36:52,880 --> 00:36:54,920
Speaker 1: you want to defeat me that you write down I

650
00:36:54,960 --> 00:36:58,240
Speaker 1: don't know. Um. And then so this was so absurd

651
00:36:58,320 --> 00:37:01,960
Speaker 1: that the Canadian Bassett thought it was prank and immediately

652
00:37:01,960 --> 00:37:04,759
Speaker 1: like reached out to the White House and was like, um, yeah,

653
00:37:04,840 --> 00:37:06,760
Speaker 1: I think we may have gotten some kind of prank

654
00:37:09,440 --> 00:37:13,000
Speaker 1: Like White House male. Yeah, like this is no this

655
00:37:13,160 --> 00:37:16,520
Speaker 1: that was very real, and they're like something totally disturbed person.

656
00:37:17,160 --> 00:37:19,719
Speaker 1: But then it got basically it ramped up a little

657
00:37:19,719 --> 00:37:23,319
Speaker 1: bit even more so. Then in December of Trump told

658
00:37:23,520 --> 00:37:25,600
Speaker 1: a crowd in Penciccola, Florida, that there's like, you know,

659
00:37:25,600 --> 00:37:28,680
Speaker 1: we've got a tremendous trade deficited with Canada and we've

660
00:37:28,719 --> 00:37:30,719
Speaker 1: got to we've got to write that. And you know,

661
00:37:31,200 --> 00:37:34,920
Speaker 1: around this time he mailed Trudeau this document, but of

662
00:37:34,960 --> 00:37:37,240
Speaker 1: course the White House one that only takes into account

663
00:37:37,560 --> 00:37:40,600
Speaker 1: like data that would only support his point very narrowly,

664
00:37:40,880 --> 00:37:43,680
Speaker 1: a document that shows that the US had a trade deficit.

665
00:37:44,040 --> 00:37:49,280
Speaker 1: And then in sharpie wrote not good exclamation point, um,

666
00:37:49,520 --> 00:37:53,880
Speaker 1: but but this whole document they say, all the enda

667
00:37:53,880 --> 00:37:56,759
Speaker 1: lists are like, it's only mentioning the deficit in the

668
00:37:56,760 --> 00:38:00,120
Speaker 1: trade of goods and ignored the surplus in services. So

669
00:38:00,160 --> 00:38:02,279
Speaker 1: when you combine them, it actually gives the US an

670
00:38:02,280 --> 00:38:05,080
Speaker 1: overall surplus. But it's only looking at this one piece.

671
00:38:05,400 --> 00:38:09,880
Speaker 1: So then Trudeau clapped back on his official stationary not

672
00:38:10,080 --> 00:38:13,480
Speaker 1: ripped off documents or whatever um, and wrote, Dear Donald,

673
00:38:13,840 --> 00:38:16,600
Speaker 1: it's been a busy year. Enjoy the Christmas holidays. You

674
00:38:16,640 --> 00:38:19,840
Speaker 1: deserve it. Oh one thing, you gave a great speech

675
00:38:19,840 --> 00:38:22,400
Speaker 1: in Pensacola, but you were slightly off on the balance

676
00:38:22,440 --> 00:38:25,480
Speaker 1: of trade with Canada, the US Treasury Department says, So

677
00:38:25,920 --> 00:38:28,520
Speaker 1: all the best for and justin. And the second page

678
00:38:28,520 --> 00:38:31,319
Speaker 1: of the letter is a print out of this like

679
00:38:31,560 --> 00:38:35,040
Speaker 1: informational page that is from the US Trade like office,

680
00:38:35,280 --> 00:38:38,000
Speaker 1: that shows exactly that there is a trade surplus. And

681
00:38:38,080 --> 00:38:40,520
Speaker 1: it was like, and that's the devil's kiss he gave him,

682
00:38:40,600 --> 00:38:42,600
Speaker 1: So you know, they have a very I just like

683
00:38:42,680 --> 00:38:46,799
Speaker 1: to that's the most insulting. Yeah, that's as far as

684
00:38:46,840 --> 00:38:49,840
Speaker 1: they can go. I will highlight a fact and it

685
00:38:49,880 --> 00:38:52,040
Speaker 1: will be a parent and that's all we will need

686
00:38:52,080 --> 00:38:54,279
Speaker 1: to do about He literally says, you deserve like a

687
00:38:54,320 --> 00:38:56,839
Speaker 1: good holiday, you know, what. I'm not going to say,

688
00:38:56,840 --> 00:38:59,320
Speaker 1: you don't deserve it, because Christmas should be fun for

689
00:38:59,360 --> 00:39:02,320
Speaker 1: everyone exactly. Probably mean to me because you're just exhausted.

690
00:39:03,800 --> 00:39:09,719
Speaker 1: The caveman like, not good, thank you. All right, we're

691
00:39:09,719 --> 00:39:12,839
Speaker 1: gonna take another quick break and we'll be right back.

692
00:39:21,200 --> 00:39:25,000
Speaker 1: And we're back and uh myles I personally don't give

693
00:39:25,000 --> 00:39:30,120
Speaker 1: a shit about spoilers. They kind of enjoyed a little bit.

694
00:39:30,280 --> 00:39:33,480
Speaker 1: Actually same. I'm only the first time. Once upon a

695
00:39:33,520 --> 00:39:36,440
Speaker 1: Time in Hollywood is the first movie that I'm really

696
00:39:36,480 --> 00:39:39,080
Speaker 1: really glad I didn't have spoiled for me. So thank you, sir,

697
00:39:40,200 --> 00:39:43,600
Speaker 1: because you had seen it. Like, I just don't talk

698
00:39:43,640 --> 00:39:47,080
Speaker 1: about anything movie wise sometime, so I'm not like everyone like,

699
00:39:47,080 --> 00:39:49,200
Speaker 1: oh I'm not gonna see anything for other people. I'm

700
00:39:49,239 --> 00:39:52,440
Speaker 1: just like that. Look, I got a lot of going

701
00:39:52,440 --> 00:39:56,320
Speaker 1: I've got a lot of tables. Man. Usually Janine Garofolo

702
00:39:56,400 --> 00:39:59,600
Speaker 1: famously said the cable guy. Yeah, but usually I don't

703
00:39:59,800 --> 00:40:03,400
Speaker 1: care air because movies stress me out right. Well, you like,

704
00:40:03,520 --> 00:40:06,000
Speaker 1: I want to know you're the same with sports too.

705
00:40:07,120 --> 00:40:11,720
Speaker 1: I fucking can't I need it. Like the fucking thrill

706
00:40:11,880 --> 00:40:15,560
Speaker 1: of watching sports for sure is to like live and

707
00:40:15,600 --> 00:40:18,799
Speaker 1: die by that scoreboard and you know, because you know

708
00:40:19,120 --> 00:40:22,800
Speaker 1: obviously the downside is the lowes could be just soul crushing,

709
00:40:22,840 --> 00:40:25,080
Speaker 1: but the highs like when you don't know that the

710
00:40:25,120 --> 00:40:28,480
Speaker 1: outcome and it actually becomes like legendary. Do you need

711
00:40:28,480 --> 00:40:33,359
Speaker 1: those need? That's when you were cool with strangers, right,

712
00:40:33,640 --> 00:40:36,719
Speaker 1: all of a sudden, being like in the space, there's

713
00:40:36,760 --> 00:40:39,120
Speaker 1: a big win and you're both like and you're jumping

714
00:40:39,200 --> 00:40:43,879
Speaker 1: up and down. Your high five just flooded with chemicals. YEA, Well,

715
00:40:43,920 --> 00:40:46,720
Speaker 1: but I guess with yeah, with TV shows and stuff,

716
00:40:46,800 --> 00:40:48,880
Speaker 1: not as bad. I think the only time would be

717
00:40:48,920 --> 00:40:52,000
Speaker 1: like a finale. Maybe I don't want to know. But

718
00:40:52,280 --> 00:40:54,360
Speaker 1: aside from that, like if someone you know, like I

719
00:40:54,440 --> 00:40:57,000
Speaker 1: knew the sixth cents ending before I saw it, and

720
00:40:57,120 --> 00:41:00,719
Speaker 1: I wasn't pissed. Huh, well know someone said it and

721
00:41:01,400 --> 00:41:08,200
Speaker 1: got friends who have seen sixty like one of those

722
00:41:08,200 --> 00:41:10,560
Speaker 1: things are like people you know at that time that

723
00:41:10,640 --> 00:41:15,560
Speaker 1: was considered like the and someone was like, yeah, he's

724
00:41:15,560 --> 00:41:17,279
Speaker 1: like fucking dead at the end, and I was like,

725
00:41:17,600 --> 00:41:20,040
Speaker 1: huh okay, and then I saw it and I was

726
00:41:20,080 --> 00:41:23,520
Speaker 1: still like all right. But to me, the journey wasn't

727
00:41:23,520 --> 00:41:26,200
Speaker 1: so much that twist, like it was everything else around it.

728
00:41:26,640 --> 00:41:29,359
Speaker 1: But anyway, I mean both that and Usual Suspects are

729
00:41:29,400 --> 00:41:32,879
Speaker 1: rewatchable movies, even oh yeah, even though they were big

730
00:41:32,920 --> 00:41:37,160
Speaker 1: twisty twists at the end. But anyways, Kevin Spacey fans

731
00:41:37,200 --> 00:41:43,160
Speaker 1: over here, Yes, yes, AI his maybe the selected Yeah,

732
00:41:43,200 --> 00:41:47,680
Speaker 1: well Alan iverson the answer, maybe the answer as well.

733
00:41:48,360 --> 00:41:52,120
Speaker 1: Uh wow, that's poetic that AI could be the answer

734
00:41:52,280 --> 00:41:55,600
Speaker 1: to creating a spoiler for Internet. Now, there are researchers

735
00:41:55,680 --> 00:41:58,799
Speaker 1: at the university you see, San Diego who have been

736
00:41:58,800 --> 00:42:01,719
Speaker 1: working on like some kind of AI algorithm to try

737
00:42:01,760 --> 00:42:05,239
Speaker 1: and basically detect spoilers and censor them so people can

738
00:42:05,320 --> 00:42:08,800
Speaker 1: like just fearlessly go into an article and make sure

739
00:42:08,880 --> 00:42:12,120
Speaker 1: like anything that could be a spoiler would be redacted. However,

740
00:42:12,719 --> 00:42:15,759
Speaker 1: it's a lot fucking harder than they realized, so they

741
00:42:15,760 --> 00:42:19,600
Speaker 1: call it spoiler net. To train spoiler net, the team

742
00:42:19,600 --> 00:42:22,600
Speaker 1: went looking for large data sets of sentences containing spoilers

743
00:42:23,000 --> 00:42:26,680
Speaker 1: spoiler alert. They found none, so they created their own

744
00:42:26,760 --> 00:42:29,440
Speaker 1: by collecting more than one point three million book reviews

745
00:42:29,480 --> 00:42:32,440
Speaker 1: annotated with spoiler tags by book reviewers. The tags and

746
00:42:32,480 --> 00:42:35,440
Speaker 1: compass sentences that include spoilers and hide them behind a

747
00:42:35,600 --> 00:42:38,440
Speaker 1: quote view spoiler link in the text the reviews were

748
00:42:38,440 --> 00:42:42,520
Speaker 1: collected from good reads blah blah blah. So they really

749
00:42:42,560 --> 00:42:45,480
Speaker 1: found at first there wasn't really an effective way to

750
00:42:45,600 --> 00:42:48,360
Speaker 1: actually do this because there's still a lot of issues,

751
00:42:48,440 --> 00:42:52,000
Speaker 1: especially with like semantic nuances. So they said, in addition,

752
00:42:52,040 --> 00:42:55,000
Speaker 1: the same word may have different semantic meetings in different contexts.

753
00:42:55,040 --> 00:42:57,800
Speaker 1: For example, green is just a color in one book review,

754
00:42:57,960 --> 00:42:59,960
Speaker 1: but it can be the name of an important character

755
00:43:00,200 --> 00:43:03,120
Speaker 1: and a signal for spoilers in another book. Identifying and

756
00:43:03,200 --> 00:43:07,200
Speaker 1: understanding these differences is challenging. So they're sort of saying, like,

757
00:43:07,320 --> 00:43:11,399
Speaker 1: we have something imperfect, but it almost seems that even then,

758
00:43:12,000 --> 00:43:14,560
Speaker 1: the bigger picture here is that it's like, yeah, it

759
00:43:14,640 --> 00:43:16,560
Speaker 1: might be very hard to do this, or you're gonna

760
00:43:16,560 --> 00:43:18,760
Speaker 1: have to feed this thing a lot more data before

761
00:43:18,760 --> 00:43:21,319
Speaker 1: I can start picking out stuff like that. So the

762
00:43:21,360 --> 00:43:24,560
Speaker 1: conclusion of their scientific study is like science is hard.

763
00:43:24,960 --> 00:43:28,960
Speaker 1: Science is hard. This is tough. This is tough, dude. Honestly, like,

764
00:43:29,360 --> 00:43:31,439
Speaker 1: come on, man, don't bust my balls about this, dude.

765
00:43:31,440 --> 00:43:34,360
Speaker 1: It's a good idea when we thought about it, thanks

766
00:43:34,800 --> 00:43:40,200
Speaker 1: to talk Free Snacks outside. Yeah, but they did run

767
00:43:40,200 --> 00:43:43,280
Speaker 1: it on a few single sentence reviews about TV shows

768
00:43:43,440 --> 00:43:45,760
Speaker 1: and it was able to detect spoilers at a seventy

769
00:43:46,920 --> 00:43:49,560
Speaker 1: So it's not like that's not that perfect, but but

770
00:43:49,719 --> 00:43:51,640
Speaker 1: it is getting better and better. But yeah, I think

771
00:43:51,640 --> 00:43:53,759
Speaker 1: that's where they're really realizing. It's like, okay, we've got

772
00:43:53,760 --> 00:43:55,640
Speaker 1: to train this ship. I mean, that's pretty good. I

773
00:43:55,719 --> 00:44:00,440
Speaker 1: only read sentence long reviews for The Red and was

774
00:44:00,560 --> 00:44:03,840
Speaker 1: that they were trying to also have applications for it

775
00:44:03,880 --> 00:44:07,160
Speaker 1: on Twitter, so that way you can, like if you

776
00:44:07,160 --> 00:44:08,840
Speaker 1: you know, if you're doing it through the browser, it

777
00:44:08,840 --> 00:44:11,080
Speaker 1: could be like a browser plug in that could just

778
00:44:11,160 --> 00:44:13,600
Speaker 1: be running as you because the spoiler can sneak up

779
00:44:13,600 --> 00:44:16,680
Speaker 1: on you. Yeah, going through your timeline, you know, in

780
00:44:16,719 --> 00:44:20,120
Speaker 1: between case I da picks. Hey man, spoilerler might come

781
00:44:20,200 --> 00:44:22,640
Speaker 1: up when you're in l A dude, I'll take you

782
00:44:22,640 --> 00:44:25,680
Speaker 1: to the case it is spot you'll cry. No ship, really,

783
00:44:25,800 --> 00:44:31,879
Speaker 1: it's just so loaded. It's loaded, so you're gonna get

784
00:44:31,920 --> 00:44:36,719
Speaker 1: fucking listeria. Dude. Cool. You know that's the way I

785
00:44:36,719 --> 00:44:39,240
Speaker 1: want to go out. No spoilers, No, there's some there's

786
00:44:39,239 --> 00:44:43,440
Speaker 1: some really next level just like clock your whole soul.

787
00:44:43,640 --> 00:44:47,680
Speaker 1: Let's case it is. But but also just personally, do

788
00:44:47,680 --> 00:44:54,040
Speaker 1: you want an AI plus percent uh spoiler a. I

789
00:44:54,320 --> 00:44:56,360
Speaker 1: I feel like it's only improved my life in the

790
00:44:56,360 --> 00:44:59,200
Speaker 1: ways I don't know about, like where it's happening in

791
00:44:59,239 --> 00:45:03,080
Speaker 1: like medical whatever. I'm like, I'm not one who's like, funk,

792
00:45:03,200 --> 00:45:06,000
Speaker 1: I need an AI solution to like my human problem,

793
00:45:06,120 --> 00:45:08,839
Speaker 1: like of my day to day life. I think there

794
00:45:08,840 --> 00:45:14,399
Speaker 1: are probably ways that it's already helping with, like navigation apps. Yeah,

795
00:45:14,400 --> 00:45:16,440
Speaker 1: that sh I'm like fine with. But I've never been

796
00:45:16,480 --> 00:45:25,400
Speaker 1: like the well, because the whole thing is God forbid,

797
00:45:25,480 --> 00:45:27,600
Speaker 1: you don't fucking look at your phone for a few

798
00:45:27,640 --> 00:45:30,200
Speaker 1: hours or just say the funk off Twitter or Facebook,

799
00:45:30,200 --> 00:45:33,160
Speaker 1: where the spoilers normally reside, and I think that speaks

800
00:45:33,160 --> 00:45:36,600
Speaker 1: more to people's inability to get to log the funk off. Right.

801
00:45:36,840 --> 00:45:41,120
Speaker 1: It's also kind of this uh kind of foisting responsibility

802
00:45:41,280 --> 00:45:44,440
Speaker 1: onto everyone who is not me to say, like, I

803
00:45:44,480 --> 00:45:48,160
Speaker 1: haven't seen uh whatever, Like I haven't seen the last

804
00:45:48,200 --> 00:45:51,680
Speaker 1: episode of Lost, so the billions of the rest of

805
00:45:51,680 --> 00:45:55,360
Speaker 1: you shut the funk up until Thursday. Yeah, it's weird.

806
00:45:55,440 --> 00:45:59,759
Speaker 1: It's just like that for you, right, I guess what

807
00:46:00,000 --> 00:46:03,480
Speaker 1: the fucker they were dead the whole time? Wait? What? Yeah?

808
00:46:03,760 --> 00:46:09,560
Speaker 1: Or ory? Okay, So I think the terrible example for that.

809
00:46:09,640 --> 00:46:11,120
Speaker 1: But you guys see what I'm saying. Yeah, of course,

810
00:46:11,120 --> 00:46:13,960
Speaker 1: of course people who like read a lot about a

811
00:46:14,000 --> 00:46:16,000
Speaker 1: movie or a show and then are mad when I

812
00:46:16,040 --> 00:46:20,120
Speaker 1: get spoiled for them. It's like, yeah, what why is that?

813
00:46:20,400 --> 00:46:24,480
Speaker 1: Let me read the wiki on my own. Guy, what

814
00:46:24,600 --> 00:46:28,959
Speaker 1: is something you think is overrated? Overrated? The Internet? Hey?

815
00:46:29,160 --> 00:46:32,600
Speaker 1: Fuck the Internet? Yeah. I just think as a as

816
00:46:32,640 --> 00:46:35,279
Speaker 1: a tool, we're misusing it. I may have said this

817
00:46:35,320 --> 00:46:38,120
Speaker 1: before on here, but I do think like every time

818
00:46:38,120 --> 00:46:40,320
Speaker 1: I get on it, like I'm like, I'm not using

819
00:46:40,360 --> 00:46:44,000
Speaker 1: this correctly. I'm using it to feel worse about something

820
00:46:44,120 --> 00:46:47,080
Speaker 1: it is. Yeah, and then the information I'm getting and

821
00:46:47,080 --> 00:46:50,600
Speaker 1: putting on my brain is pointless. It's like, how much

822
00:46:50,600 --> 00:46:54,879
Speaker 1: does the helicopter cost? You know, just just you doing well? No,

823
00:46:55,040 --> 00:46:57,680
Speaker 1: I'm not That's the thing. I'm not doing helicop I'm

824
00:46:57,719 --> 00:46:59,839
Speaker 1: just curious. And that's why we're like, how much does

825
00:46:59,840 --> 00:47:02,840
Speaker 1: it meg cost? Not that much as far as Meg's go.

826
00:47:04,360 --> 00:47:06,480
Speaker 1: You get one, Yeah, you get one from under a

827
00:47:06,520 --> 00:47:09,680
Speaker 1: million close to million bucks. That's pretty good. What about

828
00:47:09,719 --> 00:47:12,400
Speaker 1: a helicopter depends on the type of helicopter you can get,

829
00:47:12,480 --> 00:47:15,319
Speaker 1: like the pretty affordable ones like a hundred and fifty grand.

830
00:47:15,680 --> 00:47:18,560
Speaker 1: Oh yeah, they're like kids. They're like pretty cool. I

831
00:47:18,560 --> 00:47:20,480
Speaker 1: don't need a kid helicopter. We need one that if

832
00:47:20,480 --> 00:47:22,320
Speaker 1: it ship pops off for like yeo, we gotta we

833
00:47:22,400 --> 00:47:26,879
Speaker 1: might have to dust the helicopter off like a gun chip.

834
00:47:27,160 --> 00:47:31,000
Speaker 1: You want, like a hue from Vietnam? Yeah, or black

835
00:47:31,040 --> 00:47:33,799
Speaker 1: I did see. I was talking to my manager on

836
00:47:33,840 --> 00:47:37,360
Speaker 1: the phone the other day. Uh, and while we were talking,

837
00:47:38,200 --> 00:47:42,080
Speaker 1: the SWAT helicopter circled my neighborhood with the dudes hanging

838
00:47:42,080 --> 00:47:46,840
Speaker 1: out of it with the guns. Yeah, it was that that.

839
00:47:47,160 --> 00:47:50,840
Speaker 1: I did do a mental checklist of all the do

840
00:47:51,080 --> 00:47:53,560
Speaker 1: anything have I piste off anyone that's good at the

841
00:47:53,600 --> 00:47:57,160
Speaker 1: internet right right? And then they just kind of flew away.

842
00:47:57,320 --> 00:47:59,640
Speaker 1: You know what happened. No, that's the fun thing. I

843
00:47:59,760 --> 00:48:03,719
Speaker 1: might at that citizen app that's overrated? How about that? Yes,

844
00:48:03,840 --> 00:48:08,480
Speaker 1: it's overrated. It's it's like a scanner, but use it

845
00:48:08,560 --> 00:48:11,120
Speaker 1: and then they can you know, there's like real time stuff.

846
00:48:11,280 --> 00:48:13,560
Speaker 1: But last night there was a chase down my alley.

847
00:48:13,760 --> 00:48:16,799
Speaker 1: I watched it happen. They were chasing and you find

848
00:48:16,800 --> 00:48:19,880
Speaker 1: out about it like run over. No. I was coming

849
00:48:19,920 --> 00:48:23,200
Speaker 1: home from doing a set and I saw the helicopter

850
00:48:23,360 --> 00:48:25,600
Speaker 1: was like I saw the beam and I was like,

851
00:48:25,680 --> 00:48:29,319
Speaker 1: that's real close to like where I'm going my home. Now,

852
00:48:29,440 --> 00:48:33,799
Speaker 1: pull in and I get out, and the helicopters like

853
00:48:33,920 --> 00:48:37,000
Speaker 1: real low. And then I watched the beam and it's

854
00:48:37,120 --> 00:48:39,319
Speaker 1: going down this alley by my house, and then this

855
00:48:39,440 --> 00:48:43,120
Speaker 1: Kia Soul just flies by. Three cops fly by, and

856
00:48:43,120 --> 00:48:44,880
Speaker 1: I was like, that's pretty cool. It's like the gooony.

857
00:48:44,960 --> 00:48:50,440
Speaker 1: So I felt like, yeah, yeah, great opening scene went

858
00:48:50,520 --> 00:48:53,040
Speaker 1: in and I went in and my wife was like

859
00:48:53,120 --> 00:48:55,839
Speaker 1: that helicopter sounded low, and I was like, hey, there

860
00:48:55,840 --> 00:49:01,359
Speaker 1: were police cars like making stuff up again. Billy wants

861
00:49:01,600 --> 00:49:06,840
Speaker 1: the babies asleep. I think they're chasing a giant hampster

862
00:49:06,960 --> 00:49:13,200
Speaker 1: just amped up. I'm like, I love all right, that's

863
00:49:13,239 --> 00:49:17,160
Speaker 1: gonna do it for this week's weekly Zeite. Guys, please

864
00:49:17,320 --> 00:49:20,600
Speaker 1: like and review the show. If you like the show,

865
00:49:21,200 --> 00:49:25,600
Speaker 1: uh means the world to Miles. He needs your validation. Folks.

866
00:49:26,200 --> 00:49:29,239
Speaker 1: I hope you're having a great weekend and I will

867
00:49:29,280 --> 00:50:11,239
Speaker 1: talk to you Monday. By Si Si