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

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

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Speaker 1: from this week, all edited together into one uh NonStop

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Speaker 1: infotainment laugh stravaganza. Uh yeah, So, without further ado, here

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Speaker 1: is the Weekly Zeitgeist. We had a quasi crisis over

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Speaker 1: the weekend in Hawaii and our westernmost state. I guess,

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Speaker 1: I guess Alaska's our westernmost states. I think so, yeah,

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Speaker 1: but Hawaii's way out there and uh, far out, far

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Speaker 1: out man and uh, you know, just surfing, hanging loose.

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Speaker 1: And they got an alert at eight around eight am

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Speaker 1: that said a ballistic missile was incoming and uh oh yeah,

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Speaker 1: see commediate shelter. This is not a drill, which is whoops.

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Speaker 1: Uh yeah, it was a mistake. Um, as people probably

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Speaker 1: know by now, due to the fact that we're not

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Speaker 1: in a thermonuclear war, nuclear war, nuclear nuclear Uh but yeah,

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Speaker 1: it was I don't know. For thirty eight minutes, everybody

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Speaker 1: was miles You said, you know some people who live

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Speaker 1: in Hawaii, and they were just my girlfriend's college roommate

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Speaker 1: is from Hawaii and lives out there, and like she

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Speaker 1: was saying, like it was wild, like they were calling

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Speaker 1: each other being like hey, like if we don't make

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Speaker 1: it like, I love you, Like like really people were

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Speaker 1: forced to examine their mortality like in those thirty eight minutes,

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Speaker 1: and like her friend's sister lives in the mainland and

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Speaker 1: is the only one that is on the mainland right now,

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Speaker 1: so she was out there, her parents were calling her like, hey,

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Speaker 1: the missile might come, and like like someone on her

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Speaker 1: sister was like having a meltdown too, because she thought

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Speaker 1: everybody in her family was just about to be like

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Speaker 1: who knows what was going to happen. It sounds like

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Speaker 1: a very traumatic situation for people who were involved, all

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Speaker 1: because it was a mistake and we have outdated software

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Speaker 1: to you know, sort of moderate all this kind of stuff.

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Speaker 1: And I mean, I guess people could have figured out

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Speaker 1: that it was a mistake when they weren't dead after

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Speaker 1: five minutes, which is apparently how long it would take

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Speaker 1: for the missile too get from North Korea. That's a

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Speaker 1: five minutes. Yeah, yeah, so you have five minutes. So

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Speaker 1: I really use that phone call, that first phone call carefully.

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Speaker 1: Um it's it's a crazy story. Um, this is something

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Speaker 1: that we covered a lot back a Cracked How many

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Speaker 1: times during the Cold War, there were just these near

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Speaker 1: misses where you know, one like glitch would happen. They'd

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Speaker 1: leave a tape in sort of the um no Red

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Speaker 1: like the big defense room that like you've seen in

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Speaker 1: movies where it's like all these screens and stuff. They

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Speaker 1: once left a tape in there that was a drill

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Speaker 1: for a nuclear attack and they actually like had the

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Speaker 1: president like up in the air and everybody was freaking out,

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Speaker 1: like getting ready to launch weapons. Uh. There's this story

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Speaker 1: about stan as La Petrov, this guy in Russia who

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Speaker 1: you know, was the guy who was in charge of

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Speaker 1: if there was a missile incoming. He was too like

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Speaker 1: call the command and say launch launch an attack on

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Speaker 1: the United States. He saw one missile and he was like,

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Speaker 1: all right, that could be a glitch. And then like

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Speaker 1: twelve missiles followed like exactly in the form formation that

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Speaker 1: you would expect coming from the United States. And for

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Speaker 1: whatever reason he just decided like, Okay, we're I'm not

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Speaker 1: going to end the world. I feel like this, this

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Speaker 1: doesn't feel quite right. And he was right. It was

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Speaker 1: like a sun glare or something like that. Um but

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Speaker 1: they what a sunlar looked like twelve missiles. Yeah, it

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Speaker 1: was like fucked with the satellite radar. Yeah, but he

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Speaker 1: basically saved the world by not doing his job. By

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Speaker 1: failing to do his job. Um, and yeah, could you

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Speaker 1: imagine if like we reacted to this then the wrong way.

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Speaker 1: It's like, oh, ship, well, I guess it's going off.

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Speaker 1: And then because it happened in Japan too, like on

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Speaker 1: Sunday or I think, yeah, or maybe two more the timeline,

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Speaker 1: it's it's kind of weird, but anyway, yeah, I think

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Speaker 1: it was Sunday or maybe Monday anyway in Japan that

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Speaker 1: it was another fake warning of like a seek shelter.

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Speaker 1: But they got they got like the just kidding alert

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Speaker 1: out like within a couple of minutes, so it wasn't

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Speaker 1: a full blown, like forty minutes of like existential dread

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Speaker 1: like the poor people in Hawaii did. But yeah, the

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Speaker 1: guy who did it burned me Agi shout out to

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Speaker 1: Mr Miagi. He felt terrible about the mistake, which I'm

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Speaker 1: sure he would because after here, like you could see

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Speaker 1: there's like a photo, he looked like really like I

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Speaker 1: fucked up so bad. I'm so sorry. But yeah, when

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Speaker 1: you look at the interface that he was using, it's

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Speaker 1: just like literally clicking a to send one out. That's

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Speaker 1: like they're not like properly organized. I can see how

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Speaker 1: you if you weren't on your ship, you might accidentally

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Speaker 1: hit that we I mean, yeah, the technology is just

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Speaker 1: crazy out of date, like surrounding all nuclear weapons and

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Speaker 1: uh yeah, it's just the hardware and software. Uh sixty

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Speaker 1: minutes to a story about it, and you look at it,

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Speaker 1: it's like out of an eighties movie. It looks like

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Speaker 1: an eighties movie. A lot of the technology that they

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Speaker 1: have both guarding and controlling nuclear weapons. Was he trying

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Speaker 1: to send anything he was supposed to do? I think

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Speaker 1: a test? A test you're supposed to it says like

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Speaker 1: drill right, you know, oh my god. That's like when

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Speaker 1: you accidentally screenshot a conversation and then send it to

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Speaker 1: the person you're talking to, Right, You're like, damn, yeah,

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Speaker 1: I'm like it was a glitch, It was a mus

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Speaker 1: dark yeah, photoshop. That happens probably hundreds of thousands of

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Speaker 1: times every day, like and yeah, so we shouldn't have

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Speaker 1: technology that makes it possible for people to do that

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Speaker 1: with uh nuclear weapon. I mean, how many people you

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Speaker 1: think involved in that? Like took stock of like their

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Speaker 1: relationships to like, how many breakups do you think happened

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Speaker 1: after this? Like missile warning? It was like, y'all, honestly,

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Speaker 1: like in that thirty eight minutes, I thought like if

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Speaker 1: somebody I was really trying to be dating or like

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Speaker 1: the fact that we're kind of done and I still

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Speaker 1: haven't done anything yet. Sorry, this is I took stock

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Speaker 1: of my life in those curtain minutes and this isn't

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Speaker 1: gonna work out. I feel like there has to be

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Speaker 1: something people just come clean with, like death confessions. Someone

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Speaker 1: needs to option this story already. I mean, it's a

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Speaker 1: it's a rom com for yeah, for sure. Um yeah,

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Speaker 1: and Trump was apparently golfing, so right, and just thank

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Speaker 1: god he's like they knew within minutes, right that it

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Speaker 1: was a fake thing. They told him, and he was

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Speaker 1: kind of all right, you could have tweeted something. A

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Speaker 1: lot of people follow your Twitter, so I'm sure you

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Speaker 1: could have probably put some people at ease, but didn't

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Speaker 1: send out a correction. Right for thirty minutes. It took

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Speaker 1: him to be like, oh, false alarm, my bad. So yeah,

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Speaker 1: they're there now saying that people will know when it's

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Speaker 1: a real one because they'll send a follow up being

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Speaker 1: like and seriously, we didn't funk up this time, that

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Speaker 1: this is an actual then you have to enter a

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Speaker 1: capture code. Yeah right, you're not a bot. Like what

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Speaker 1: you're warning me, Miles. Things aren't going so well for

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Speaker 1: the GOP. Uh the you know liberal strongholds of Iowa, Wisconsin,

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Speaker 1: Western Iowa. Yeah, so Chuck grass Lee and Joni Earns,

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Speaker 1: who are the senators for Iowa, they did their like

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Speaker 1: annual tour where they go to like the ninety nine

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Speaker 1: counties of Iowa and like, so the naturally they stop

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Speaker 1: off in like rural Iowa because it's probably gonna be

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Speaker 1: some you know, town halls, won't be very charged. But yo,

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Speaker 1: did they get a surprise because at Chuck Grassleys they

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Speaker 1: were like the people were sincerely asking this is he

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Speaker 1: was in the county that had the Republican registration the

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Speaker 1: outnumber Democrats two to one, and Trump wanted by thirty

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Speaker 1: five points, so he's in like Trump country, and these

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Speaker 1: older white voters were there to take basically Grassley to

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Speaker 1: task and be like what do you think, like do

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Speaker 1: you think he's mentally stated when he's like, well, it's

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Speaker 1: not my job to know, and they're like, well, you know,

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Speaker 1: like what's going on. We feel like you're obstructing the

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Speaker 1: Russia investigation. Like he was getting questions that were like

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Speaker 1: you thought indivisible was there being like hey, okay, this

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Speaker 1: is I can ask him And this was seemingly completely disorganized,

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Speaker 1: an organic sort of pushed back from voters. Then Joni Ernst,

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Speaker 1: she doesn't do a good job either. She's at a

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Speaker 1: town hall meeting and they are pressing her like it's

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Speaker 1: and these are not these are Trump voters. This one

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Speaker 1: woman asks her like, yo, his xenophobia and racism is

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Speaker 1: like basically making our country look bad and like I

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Speaker 1: feel like other countries we have really bad relationships and

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Speaker 1: he's not sticking up for like other jess are American values.

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Speaker 1: And so this is what Joni Earnest reply is when

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Speaker 1: saying our our standing is tarnished and we're not sticking

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Speaker 1: up for little countries and he is standing up for

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Speaker 1: a lot of the countries that where we have seen, um,

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Speaker 1: you got Norway. Oh boy, just like laugh they laughed

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Speaker 1: at her. I mean for real though really he was saying.

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Speaker 1: She was saying, he's standing up for a lot of

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Speaker 1: countries around the world right, and that her answer was norway,

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Speaker 1: you can just hear the like nervous breakdown creeping up. Yeah,

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Speaker 1: and she knew, like, oh i am this is an

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Speaker 1: indefense the bad answer. Her brain is like hold on,

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Speaker 1: hold on, hold on, I'll take it from here. Right.

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Speaker 1: So that is not a good sign, especially with Democrats

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Speaker 1: trying to take back the House, uh in this year

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Speaker 1: mid terms, Like when you have people in these like

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Speaker 1: really solidly rural areas being like talking like this, or

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Speaker 1: for example, in Wisconsin, a Democrat won a state Senate

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Speaker 1: seat from a really well known Republican, which is another

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Speaker 1: big shock. Like even Scott Walker, the governor was like whoa, whoa,

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Speaker 1: what's going on? Like it's definitely causing a panic. So

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Speaker 1: off of that, right, there's all these like like weird

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Speaker 1: unexpected democratic pickups. There's some momentum going. There's a Washington

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Speaker 1: Post article talking about sort of Trump like looking at

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Speaker 1: eighteen and in discussions about like, you know, are they

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Speaker 1: nervous about the mid terms, he basically like brought up

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Speaker 1: like he's in this in this article, they say quote

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Speaker 1: in private conversations, Trump has told advisors that he doesn't

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Speaker 1: think the election has to be as bad as others

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Speaker 1: are predicting. He has referenced to two thousand two mid terms,

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Speaker 1: when George W. Bush and Republicans fared better after the

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Speaker 1: September eleventh terrorist attacks. These people said, so it's almost

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Speaker 1: as if he's predicting a September eleventh like event will

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Speaker 1: happen between now and those elections. Yeah. So, I mean

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Speaker 1: he's because I don't know that, but the way it's

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Speaker 1: being told, it's like, well, I don't think it's gonna

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Speaker 1: be that bad. I mean, September eleven helped out the

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Speaker 1: Republicans two thousand two. Right, Is he predicting or is

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Speaker 1: he hedging his bets and like hoping for a nine?

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Speaker 1: I don't know either way. That's fucking scary as shit,

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Speaker 1: it really is, because I mean his favorite person is

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Speaker 1: Putin or the Pultin. Uh. He speaks very uh, you know,

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Speaker 1: admiringly of Putin, and Putin you know, swept to power

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Speaker 1: and really consolidated a lot of his power by doing

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Speaker 1: a false flag thing where he you know, bombed a

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Speaker 1: bunch of apartment buildings, killed a bunch of Russians and

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Speaker 1: then blamed it on Czecheny and terrorists even though uh

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Speaker 1: it's it was obviously like journalists have you know, basically

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Speaker 1: proven that it is. It is done by the FSB,

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Speaker 1: which is their CIA essentially. Uh So, yeah, that's always

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Speaker 1: been a big worry of mine, is either what happens

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Speaker 1: if a nine eleven organically happens or uh if he

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Speaker 1: makes one of those things happen, because he seems like

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Speaker 1: the worst person one of those things that happen. Yeah,

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Speaker 1: he's think about even on the campaign, how he was like, oh, Russia,

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Speaker 1: I'd love your help, or like wiki leaks, please show

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Speaker 1: those things, like where you kind of suspect that he

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Speaker 1: knew as he said that stuff, and then when he

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Speaker 1: sort of juxtaposed that with him sort of privately being like, well,

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Speaker 1: you know, nine eleven helped out the Republicans. Like no,

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Speaker 1: people are saying, so it's it's that's a weird. That's

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Speaker 1: a weird, very weird quote. The thing that a lot

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Speaker 1: of people are talking about right now is that the

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Speaker 1: president aced his cognitive exam and uh aced his physical exam.

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Speaker 1: He is the same height and body weight as uh

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Speaker 1: NFL quarterback Jay Cutler. Tall, live athletic Jay Cutler, same

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Speaker 1: same frame. Apparently when you look at them next to

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Speaker 1: one another, that that would seem to be physically impossible. Um. Well,

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Speaker 1: I was worried. But then I saw on the internet

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Speaker 1: that the president is big and strong and smart, so

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Speaker 1: I could just check out, Yeah, there's no problem there. Um.

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Speaker 1: But so uh, the president allegedly requested a cognitive exam

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Speaker 1: so he could, you know, show all those people outing him,

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Speaker 1: the haters, that he is in top notch condition and

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Speaker 1: is in fact very stable genius. Uh. And he got

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Speaker 1: a thirty for thirty. Um, not an ESPN documentary. He

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Speaker 1: got a score of thirty out of thirty. And uh, yeah,

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Speaker 1: I mean he's smart that I was impressed until I

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Speaker 1: saw the exam. It's like got a drawing of a

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Speaker 1: lion and is like, what is this animal? Then he

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Speaker 1: has to name that correctly. There there's one hard question.

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Speaker 1: There's a hard Yeah, there's one hard question where uh

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Speaker 1: you have to remember like a series of five words

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Speaker 1: a couple of minutes after they're said to you. Uh,

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Speaker 1: so you know if it could do that. It's weird

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Speaker 1: because we were saying, like his the weight that he

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Speaker 1: came in for his height, which is like so they're

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Speaker 1: saying he's with six three for a bm I score

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Speaker 1: technically puts you just what one pound below obies, one

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Speaker 1: pound below OBEs What a lucky stroke of damn interesting?

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Speaker 1: So yeah, that was my friend Chris sent me that

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Speaker 1: this morning. He was Liken't that lucky? It isn't not amazing? Wait,

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Speaker 1: but it is even six three. Uh, it still says

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Speaker 1: six ft two, Like that's still what the Internet has

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Speaker 1: decided he is. Google google President Trump's height, it'll say

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Speaker 1: six too. There are lots of pictures of him next

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Speaker 1: to people who are six ft one, and he looks

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Speaker 1: either shorter or exactly the same height as them. Uh.

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Speaker 1: There is a picture of him next to uh Jeb

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Speaker 1: Bush during the debates, and Jeb Bush seems to be

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Speaker 1: at least two inches taller than him. Jet Jeb Bush

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Speaker 1: is six three. So yeah, six three is one of

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Speaker 1: those reach heights like Charles Barkley was six eight was

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Speaker 1: actually like six ft three knock come on. Uh yeah,

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Speaker 1: so um that's why I think there may be a

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Speaker 1: little foolery going on sadly with that doctor. Yeah, it's

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Speaker 1: interesting because the doctor, like we looked into him, he

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Speaker 1: was appointed by President Obama. Um, so it's not like

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Speaker 1: he's Trump's crazy like hack partisan Hall even though his

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Speaker 1: name is what doctor Dr Dr Ronnie Hey Dr Ronny

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Speaker 1: called Dr Ronnie. Uh yeah, that does sound like a

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Speaker 1: Jersey Shore nickname rann And went to high school with

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Speaker 1: her with sam Sammy. No, that's crazy. That was the

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Speaker 1: thing that was like super embarrassing when that show came

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Speaker 1: out and everyone's like, oh is this what? What? Well

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Speaker 1: Sammy Snooky is my friend's cousin. Yeah, yeah what Super

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Speaker 1: producer Ane Hoosie has a look of shock. What happened? Oh?

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Speaker 1: She just didcause I thought that President Trump had resigned

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Speaker 1: or something like that. But based on the look on

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Speaker 1: super ducer Anna Hosnie's face, and it was actually her

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Speaker 1: response to Daniel knowing members of the Jersey shortcast. Uh,

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Speaker 1: there's also Eric Trump was on Fox News talking about

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Speaker 1: his dad. How's dad is color blind? Because he can't

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Speaker 1: be racist? Oh that's not racist. That was not a

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Speaker 1: cognitive thing, got it. Yeah? He said his dad only

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Speaker 1: sees one color and it's green. I don't know, we

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Speaker 1: have a quick would be troubling physically. Yeah, this is

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Speaker 1: on Fox and Friends. I think this morning people in

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Speaker 1: the meeting says some things about race, and that people

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Speaker 1: are calling him a racist for the last five or

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Speaker 1: six days. Um, I know you don't agree with that,

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Speaker 1: but is there anything you could bring to this conversation

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Speaker 1: you think is important? That my father's one color green,

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Speaker 1: that's all he cares about. He cares about the economy, right,

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Speaker 1: he does not see ray. He's the least racist person

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Speaker 1: I've ever met in my entire life. It's totally nonsense.

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Speaker 1: The least racist person. Yeah, that, come on, was the

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Speaker 1: least racist person you've ever met. We were saying that,

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Speaker 1: how can you even give anyone that title? It's ridiculous.

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Speaker 1: I think the only person it makes sense You's be like, well,

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Speaker 1: Martin Luther King Jr. Was the least racist person to live.

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Speaker 1: I know plenty of people that I don't think are racist,

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Speaker 1: but even like, like to give someone that title just

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Speaker 1: seems impossible. Well, Trump loves superlatives, you know what I mean.

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Speaker 1: So you know, I was voted at least racist person

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Speaker 1: in my high school. So, like, I think it's something

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Speaker 1: he would lie about. Also, that that would normally be

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Speaker 1: like a president's child, being like he only sees green

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Speaker 1: would be like an angsty thing that like the way

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Speaker 1: they would criticize that, but and like when you didn't um, yeah.

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Speaker 1: But other other things that he needed to now for

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Speaker 1: the cognitive exam include drawing a clock at eleven? Uh?

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Speaker 1: Was it tenast eleven? H? So that's something uh really

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Speaker 1: like the just looking at this quiz, it really goes

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Speaker 1: downhill quickly. Like the very first category is visuospatial slash executive.

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Speaker 1: It sounds pretty advanced. And then question number two, draw

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Speaker 1: a clock, question three naming what these animal? Al right, right,

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Speaker 1: And what's funny is the guy who created that test,

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Speaker 1: he's like a Lebanese Canadian immigrant and he was like

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Speaker 1: finding it ironic. He's like that he's depending on somebody

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Speaker 1: with all his like Muslim bands and anti immigrant ship

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Speaker 1: that oh, like, I my test bailed you out, or

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Speaker 1: you're trying to act like this test made you seem

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Speaker 1: that you are the most sane and stable person. But

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Speaker 1: he also points out that that test has its flaws,

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Speaker 1: and it's also like it just sort of it's bentman

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Speaker 1: to do a basic just be like, okay, your brain

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Speaker 1: is sort of working, but it doesn't test like anything

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Speaker 1: psychological or judgment or anything like that. That guy who

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Speaker 1: made the quiz uh is maybe the most sweetly naive

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Speaker 1: person I've ever heard in my life, because he was

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Speaker 1: interviewed and he was like, maybe the President will learn

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Speaker 1: from this and soften on his immigration. Oh buddy, you

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Speaker 1: think he's gonna know you made cutbacks to the studio

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Speaker 1: and they're just all like wiping tears from their eyes,

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Speaker 1: laughing so hard. Yeah, yeah, I know that's probably gonna happen. Uh. So,

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Speaker 1: apparently Miles he were saying that Dr Sanjay Gupta also

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Speaker 1: spoke with Dr Ronnie about the President's heart health. Yeah,

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Speaker 1: because apparently, like in two thousand nine, Groupta had heard

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Speaker 1: that Trump had basically started having these quote tests that

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Speaker 1: are actually looking for the presence of calcium and the

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Speaker 1: blood vessels that lead to the heart, and steadily up

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Speaker 1: until this past week when he had to performed again,

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Speaker 1: those numbers have gone up and when they get to

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Speaker 1: a certain age that means you have heart disease. So

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Speaker 1: grouped to followed up with Dr Ronnie uh and was

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Speaker 1: like asking him about these tests and this is what

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Speaker 1: he had to say. Quote. It was interesting when I

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Speaker 1: spoke to Dr Jackson. At first he said he had

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Speaker 1: passed all the tests with flying colors. Groupeda said when

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Speaker 1: I asked him specifically about that test about the calcium,

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Speaker 1: he did then concede that in fact, the president does

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Speaker 1: have heart disease. They're going to be increasing medications including

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Speaker 1: cluster all lower medications, etcetera, etcetera. So basically what they're saying,

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Speaker 1: I mean, one way to look at is that he

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Speaker 1: he's technically within the threshold, a measurable threshold that will

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Speaker 1: put you say technically that you do have heart disease.

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Speaker 1: But the doctor is saying like it's it's manageable or whatever. Yeah,

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Speaker 1: and so I mean, I want to trust this guy

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Speaker 1: because he's a doctor who was appointed by Obama. He's

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Speaker 1: also a military guy, and the people who most benefit

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Speaker 1: from having Trump and power are also the military guys

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Speaker 1: who are actually running our country. Um, but yeah, like

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Speaker 1: that he was specifically asked. People were like, wait, so

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Speaker 1: how is he so healthy if based on the diet

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Speaker 1: that he eats, and Doc Doc Ronnie was like, Oh,

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Speaker 1: he's just got the best genes I've ever seen. He's

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Speaker 1: the perfect genes genetically, He's he's the best. It makes

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Speaker 1: me feel like a crazy person though, because like I

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Speaker 1: also as soon as I hear about this. It makes

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Speaker 1: me start to question is this doctor on the level?

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Speaker 1: And that makes me feel like a conspiracy theorist, because

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Speaker 1: because if he had given me the information that I

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Speaker 1: believe in my heart to be true, I wouldn't be

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Speaker 1: questioning anything, right this doctor who Obama pointed like, no,

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Speaker 1: he's he's he's healthy. Like, I don't know. It's freaking

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Speaker 1: weird to me too, man, Uh yeah, exactly, So I

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Speaker 1: don't know. Let's just keep our eye on it. You know.

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Speaker 1: Obviously we're not hoping for him to uh have bad

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Speaker 1: things happen to him. No, not at all. But I

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Speaker 1: just feel like, you know, is this like, is this

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Speaker 1: is this doctor is really measuring him at six three?

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Speaker 1: I would love to get my stats because then it

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Speaker 1: would probably finally put their bed. Then I am six

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Speaker 1: ft two yeah this morning, only six. I can't believe it. Anyways,

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Speaker 1: all right, we're gonna take a quick break. We'll be

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Speaker 1: right back after these messages and we're back. Um, so

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Speaker 1: we wanted to check in with the world of Trump supporters.

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Speaker 1: I keep bumping into the fact that I live in

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Speaker 1: a different bubble than a entire portion of the US population. Um,

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Speaker 1: there's been the fake news awards that Trump released I

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Speaker 1: think last night as a recording this and uh, people

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Speaker 1: were so eager to see the fake news awards that

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Speaker 1: they crashed the website where they released them. Um. So yeah,

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Speaker 1: it's like their equivalent of Obamacare going live and being like,

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Speaker 1: now you couldn't have healthcare. Uh. It was underwhelming a

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Speaker 1: little bit. I'm surprised because it's just sort of like

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Speaker 1: stories that just had been retracted or edited for like inaccuracies.

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Speaker 1: I thought it was gonna be like and this motherfucker

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Speaker 1: is the worst and blah blah blah. It was kind

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Speaker 1: of like, Okay, well, yeah, it was just a handful

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Speaker 1: of stories that media outlets got wrong and admitted they

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Speaker 1: got wrong about the Trump administration. I've reached a delirium

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Speaker 1: about Trump to where it's so horrible that I actually

401
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Speaker 1: love it now, Like I like, I can't. It's like

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Speaker 1: my body is rejected. It was rejecting more and turning

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Speaker 1: you into laughs. Like I literally I was. I was

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Speaker 1: sitting at jitlot of the other day, which is a

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Speaker 1: nice restaurant time to kill, and I started reading an

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Speaker 1: article about him in North Korea and the leaders calling

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Speaker 1: each other like fat and stupid, and I started crying

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Speaker 1: from laughter that this is our reality and the inevitability

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Speaker 1: of it in America, that it would reach this point.

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Speaker 1: And I can't take it seriously because the thing is

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Speaker 1: every generation is narcissistic and thinks that their generation will

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Speaker 1: be the one that ends the world. And I don't

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Speaker 1: think that's going to happen with us. We are definitely close,

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Speaker 1: and we definitely could. I just don't think it's gonna happen.

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Speaker 1: But it is hilarious the things we talk about every

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Speaker 1: day and the way this super insane narcissist has taken

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Speaker 1: over all of our lives. He's really good at what

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Speaker 1: he does, and we can't do anything about it. There's

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Speaker 1: nothing to do because become so bipartisan and nobody cares

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Speaker 1: about people. Everyone wants to get rich, and um, it's

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Speaker 1: it's it's so horrible that it's the funniest joke of

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Speaker 1: all time. Truly, I cannot get to a real place.

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Speaker 1: So you think your existential dread has just sort of

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Speaker 1: like morphed into just like like like I'm just gonna

425
00:24:06,840 --> 00:24:09,480
Speaker 1: laugh myself crazy. What else is there to do? I mean,

426
00:24:09,520 --> 00:24:12,439
Speaker 1: this is the worst person ever made is in charge

427
00:24:12,480 --> 00:24:15,840
Speaker 1: of the world. How is that not funny? Yeah, I

428
00:24:15,840 --> 00:24:18,160
Speaker 1: mean I think because we have to like read about

429
00:24:18,200 --> 00:24:21,000
Speaker 1: it every day. I don't I've I've noticed that I'm

430
00:24:21,080 --> 00:24:25,080
Speaker 1: in the beginning, I just sucking bawl my fists something

431
00:24:25,240 --> 00:24:27,040
Speaker 1: and now I'm just like, well, look, I have to

432
00:24:27,080 --> 00:24:29,320
Speaker 1: just observe what is happening in the world. I'm trying

433
00:24:29,320 --> 00:24:31,760
Speaker 1: to be removed from it, and also optimistic that like,

434
00:24:31,880 --> 00:24:34,479
Speaker 1: really the only thing that can try and curb this

435
00:24:34,600 --> 00:24:37,280
Speaker 1: is like the midterm elections and like, you know, begin

436
00:24:37,320 --> 00:24:39,919
Speaker 1: to shift Congress. But you know, I think the system

437
00:24:40,000 --> 00:24:42,159
Speaker 1: is broken, and that's a whole other show that we

438
00:24:42,200 --> 00:24:45,360
Speaker 1: can get into. It is broken. And what's funny. It's

439
00:24:45,400 --> 00:24:47,760
Speaker 1: weird because you know, I wanted Hillary to win, but

440
00:24:47,840 --> 00:24:49,399
Speaker 1: even if a Hillary one still would have been a

441
00:24:49,400 --> 00:24:51,920
Speaker 1: broken system, no no question about it. So it's sort

442
00:24:51,960 --> 00:24:54,320
Speaker 1: of like maybe it's good that we're all getting aware

443
00:24:54,359 --> 00:24:58,160
Speaker 1: how broken it is, but it's also like, oh man,

444
00:24:58,200 --> 00:25:01,800
Speaker 1: we're just fucked really fun go follow your dreams, you

445
00:25:01,840 --> 00:25:04,040
Speaker 1: know you might as well. Yeah, and I don't know that.

446
00:25:04,160 --> 00:25:07,200
Speaker 1: I mean, I think narcissism and the fact that we

447
00:25:07,480 --> 00:25:10,640
Speaker 1: elected our biggest narcissists at a point where I think

448
00:25:10,640 --> 00:25:14,760
Speaker 1: our culture is maybe the most narcissistic it's ever been

449
00:25:15,040 --> 00:25:17,680
Speaker 1: with you know that social media was like built to

450
00:25:17,880 --> 00:25:21,879
Speaker 1: sort of echo chamber our narcissism and like make narcissism

451
00:25:21,920 --> 00:25:25,919
Speaker 1: the main value of like a culture, and then we

452
00:25:26,040 --> 00:25:28,879
Speaker 1: elected our biggest narcissists. But I don't feel like that's

453
00:25:29,040 --> 00:25:31,280
Speaker 1: a self correcting thing where we're gonna be like, oh,

454
00:25:31,359 --> 00:25:34,879
Speaker 1: so it's kind of our fault for valuing the stuff

455
00:25:34,920 --> 00:25:36,960
Speaker 1: that he's good at. I think it's just we're going

456
00:25:37,000 --> 00:25:39,600
Speaker 1: to look at the institutions and be like, they're they're

457
00:25:39,600 --> 00:25:42,320
Speaker 1: the ones that broke, not not us. Yeah. Yeah, it's

458
00:25:42,320 --> 00:25:46,480
Speaker 1: like x Mochia, we built the robot that will destroy us. Spoiler.

459
00:25:49,560 --> 00:25:54,160
Speaker 1: Let's move on to a happier story. Uh, some California

460
00:25:54,240 --> 00:25:58,800
Speaker 1: parents were holding thirteen children hostage and a house that

461
00:25:58,840 --> 00:26:01,760
Speaker 1: looks pretty smile. I was just the story is depressing,

462
00:26:02,960 --> 00:26:06,919
Speaker 1: but you must have a good take. Uh, I really don't.

463
00:26:08,200 --> 00:26:13,560
Speaker 1: It is. Yeah, it's horrifying. I spent yesterday afternoon like

464
00:26:13,680 --> 00:26:15,960
Speaker 1: touring the town because I had just never heard of it.

465
00:26:15,960 --> 00:26:20,440
Speaker 1: It's uh when you went up to the town. No, no, sorry,

466
00:26:20,440 --> 00:26:22,760
Speaker 1: I should have finished that sense touring the town on

467
00:26:22,840 --> 00:26:26,560
Speaker 1: Google Maps I'm just kind of getting a feel for

468
00:26:26,680 --> 00:26:28,960
Speaker 1: what what the town looks like from a sky view. Yeah,

469
00:26:28,960 --> 00:26:31,080
Speaker 1: from a sky view, and you know you can do

470
00:26:31,119 --> 00:26:32,560
Speaker 1: the thing where you like go up and down the

471
00:26:32,600 --> 00:26:37,480
Speaker 1: streets and uh, it's just a weird, weird town. Um.

472
00:26:37,920 --> 00:26:39,720
Speaker 1: I obviously you just know the headlines because I was

473
00:26:39,760 --> 00:26:41,600
Speaker 1: too bummed out by the headlines to know much more.

474
00:26:41,720 --> 00:26:46,120
Speaker 1: They had thirteen kids just chained up for for years. Yeah.

475
00:26:46,160 --> 00:26:49,399
Speaker 1: The kids, they're ages two to twenty nine. The kids

476
00:26:49,400 --> 00:26:52,800
Speaker 1: who are adults actually look like children because they've been

477
00:26:52,840 --> 00:26:57,080
Speaker 1: so malnourished. Um. And yeah, it was apparently part of

478
00:26:57,119 --> 00:27:03,000
Speaker 1: some religious thing there. Parents were homeschooling them obviously. Uh.

479
00:27:03,200 --> 00:27:06,959
Speaker 1: And apparently you can get a license to home school

480
00:27:06,960 --> 00:27:11,240
Speaker 1: without getting a visit at the house. But yeah, it's

481
00:27:11,240 --> 00:27:16,160
Speaker 1: a it's a really dark story. The the town is.

482
00:27:16,640 --> 00:27:18,639
Speaker 1: It's weird. Like I, so I did kind of a

483
00:27:18,640 --> 00:27:21,560
Speaker 1: deep dive on the town there. Their biggest job creator

484
00:27:21,640 --> 00:27:23,879
Speaker 1: is like raw stress for Lesser or something like that.

485
00:27:23,920 --> 00:27:26,879
Speaker 1: But their second biggest is a company called Starcrest of

486
00:27:26,920 --> 00:27:31,720
Speaker 1: California Industries. And when you go to Starcrest of California

487
00:27:31,920 --> 00:27:36,040
Speaker 1: or starcrest dot com, the stuff they sell is so weird.

488
00:27:36,400 --> 00:27:38,639
Speaker 1: It's like seems like it's a shell company for some

489
00:27:38,760 --> 00:27:43,479
Speaker 1: like weird religious cult. Uh. There's a family fund page

490
00:27:43,880 --> 00:27:49,119
Speaker 1: and uh the products that they sell our jacks, the

491
00:27:49,160 --> 00:27:54,760
Speaker 1: game with the golden metal things metal Grandpa, damn it.

492
00:27:54,920 --> 00:27:58,480
Speaker 1: This website is ten thoucent and haunted by a baby ghost.

493
00:27:58,520 --> 00:28:04,040
Speaker 1: It's so it's crazy. Uh, a puzzle and one C. D. K.

494
00:28:04,280 --> 00:28:07,359
Speaker 1: Smith Kate Smith, the Bell of the South or something,

495
00:28:07,440 --> 00:28:10,880
Speaker 1: Songbird of the Songbird of the South. Yeah. So it's

496
00:28:10,920 --> 00:28:13,440
Speaker 1: just I don't know, I'm really interested in this town.

497
00:28:13,520 --> 00:28:16,399
Speaker 1: Now that's a guilty pleasure. I I'm definitely not saying

498
00:28:16,440 --> 00:28:20,480
Speaker 1: the town is uh a haunted you know, shell for

499
00:28:20,640 --> 00:28:24,359
Speaker 1: religious cult. Uh that is like Children of the Corn style,

500
00:28:24,800 --> 00:28:27,960
Speaker 1: you know, just people hiding inside their houses waiting for

501
00:28:28,000 --> 00:28:30,280
Speaker 1: you to ring their doorbell so they can like cut

502
00:28:30,320 --> 00:28:33,720
Speaker 1: your throat. But uh, the yeah, it's just interesting. Give

503
00:28:33,720 --> 00:28:37,359
Speaker 1: it a look on Google Maps. There's like no nobody's

504
00:28:37,400 --> 00:28:39,800
Speaker 1: in the streets. There are no cars on the streets,

505
00:28:40,400 --> 00:28:42,760
Speaker 1: which might just be how Google Maps works, but I

506
00:28:42,760 --> 00:28:44,880
Speaker 1: feel like I always when I look at my street,

507
00:28:44,880 --> 00:28:49,000
Speaker 1: there's always cars. Yeah. Sure you can usually catch cars. Yeah,

508
00:28:49,200 --> 00:28:51,480
Speaker 1: but it's just it just looks like an abandoned town,

509
00:28:51,600 --> 00:28:55,360
Speaker 1: like beautiful, there's like lots of beautiful nature and is

510
00:28:56,720 --> 00:28:59,560
Speaker 1: exactly definitely buying this puzzle though. Yeah, yeah, that puzzle

511
00:28:59,560 --> 00:29:02,920
Speaker 1: looks great. And I'm looking on the garden and tool

512
00:29:03,000 --> 00:29:06,600
Speaker 1: section and this handy jack extra hold tape for eight

513
00:29:06,600 --> 00:29:09,320
Speaker 1: dollars looks like quite as steel. They sell battery testers,

514
00:29:09,360 --> 00:29:12,040
Speaker 1: like those old battery testers from like the mid nineties.

515
00:29:12,720 --> 00:29:15,880
Speaker 1: It looks like backs, like old dead stock stuff from

516
00:29:15,920 --> 00:29:18,840
Speaker 1: the eighties that they couldn't sell. I'm I'm obsessed with

517
00:29:18,880 --> 00:29:21,320
Speaker 1: this now because this puzzle that I'm buying free of UH,

518
00:29:21,360 --> 00:29:23,320
Speaker 1: it's called back in the Good Old Days puzzle and

519
00:29:23,320 --> 00:29:25,560
Speaker 1: it's designed to remind you of a simpler time. And

520
00:29:25,600 --> 00:29:27,680
Speaker 1: it's a person whose face you can't see. They're at

521
00:29:27,680 --> 00:29:30,640
Speaker 1: a grocery store where there's no cashier and just like

522
00:29:30,760 --> 00:29:34,080
Speaker 1: animals running around on the floor, you know, you know.

523
00:29:36,480 --> 00:29:39,480
Speaker 1: Um yeah. And this so this company that we're looking

524
00:29:39,520 --> 00:29:42,120
Speaker 1: at that like sells a bunch of products that nobody

525
00:29:42,160 --> 00:29:45,880
Speaker 1: has bought in forty years. UH is the number two

526
00:29:45,920 --> 00:29:49,200
Speaker 1: employered employees a thousand people in this town, Star Crest

527
00:29:49,240 --> 00:29:53,480
Speaker 1: of California. What's going on? Starcrest? Uh? Let's get to

528
00:29:53,480 --> 00:29:55,520
Speaker 1: the bottom of this. I don't know who's buying their

529
00:29:55,600 --> 00:29:59,360
Speaker 1: insane products like the Owl Stretch ring watch or the

530
00:29:59,440 --> 00:30:02,560
Speaker 1: Crystal Expansion watch. It's very odd. Yeah, I would do

531
00:30:02,600 --> 00:30:08,600
Speaker 1: some investigating elsewhere in Washington. Uh, there might be a

532
00:30:08,640 --> 00:30:13,000
Speaker 1: government shutdown and this is all tied up in this

533
00:30:13,240 --> 00:30:18,400
Speaker 1: is sort of how people interact with Trump. Uh so

534
00:30:19,480 --> 00:30:23,400
Speaker 1: what one of the big details is immigration that uh,

535
00:30:23,680 --> 00:30:28,640
Speaker 1: nobody can quite agree on in DACA and John Kelly,

536
00:30:28,760 --> 00:30:35,920
Speaker 1: Trump's chief of staff, just said that he basically evolved

537
00:30:36,080 --> 00:30:39,440
Speaker 1: Trump's thinking on the border wall and he probably did

538
00:30:39,640 --> 00:30:42,840
Speaker 1: and he probably did uh and also talked about how

539
00:30:43,120 --> 00:30:46,200
Speaker 1: it was his idea to give DOCCA like the six

540
00:30:46,280 --> 00:30:49,479
Speaker 1: months to allow Congress to fix it, rather than just

541
00:30:49,520 --> 00:30:52,960
Speaker 1: like saying DOCCA is over like Ice is coming for you.

542
00:30:53,040 --> 00:30:58,920
Speaker 1: Motherfucker's uh and sadly right. So he's taken credit for that,

543
00:30:59,080 --> 00:31:04,000
Speaker 1: And this is like textbook how not to deal with Trump.

544
00:31:04,080 --> 00:31:08,080
Speaker 1: Like for whatever reason, the people who work for Trump

545
00:31:08,600 --> 00:31:13,360
Speaker 1: have not learned that you don't ever ever take credit for,

546
00:31:13,800 --> 00:31:17,040
Speaker 1: you know, telling him what to do because then he

547
00:31:17,120 --> 00:31:22,400
Speaker 1: immediately reacts badly and are engineer and producer Nick Stump

548
00:31:22,600 --> 00:31:25,640
Speaker 1: kind of put together an outline or just how this

549
00:31:25,720 --> 00:31:31,160
Speaker 1: has worked with regards to DACA. So in September, Trump

550
00:31:31,200 --> 00:31:36,560
Speaker 1: has this dinner with Chuck and Nancy that's supposedly very cordial,

551
00:31:36,960 --> 00:31:40,240
Speaker 1: and they outline a deal on DOCCA. Uh, no border

552
00:31:40,240 --> 00:31:44,400
Speaker 1: walls included. Everybody's happy. They take like photo ops and

553
00:31:44,560 --> 00:31:49,240
Speaker 1: there's just mutual love everywhere. And then you know, Chuck

554
00:31:49,400 --> 00:31:53,080
Speaker 1: and Nancy, Chuck Schumer and Nancy Pelosi sort of crip

555
00:31:53,120 --> 00:31:56,360
Speaker 1: walk out of the office and are just like celebrating

556
00:31:56,400 --> 00:31:59,720
Speaker 1: for the cameras, and uh, Trump is like fun that

557
00:31:59,880 --> 00:32:03,120
Speaker 1: the deals off. I didn't agree to anything. Uh. Then

558
00:32:03,960 --> 00:32:08,880
Speaker 1: more recently, uh, Diane Feinstein like owns Trump in this

559
00:32:08,960 --> 00:32:11,200
Speaker 1: January nine meeting in front of the press, gets him

560
00:32:11,200 --> 00:32:15,840
Speaker 1: to agree to a clean DOCCA bill. Uh. January the

561
00:32:15,880 --> 00:32:19,320
Speaker 1: media sort of crowded and made fun of him. Uh.

562
00:32:19,360 --> 00:32:22,360
Speaker 1: And then January eleven, Trump is just fully dug in

563
00:32:22,640 --> 00:32:27,640
Speaker 1: on this like hardline garbage position where you know, he

564
00:32:27,840 --> 00:32:31,959
Speaker 1: starts talking about ship hole countries. Uh. And now we

565
00:32:32,040 --> 00:32:35,840
Speaker 1: have John Kelly sort of taking a victory lap about

566
00:32:35,880 --> 00:32:40,080
Speaker 1: how he influenced Trump on immigration issues and says the

567
00:32:40,120 --> 00:32:44,440
Speaker 1: six month DOCTA extension was something he ordered and you know,

568
00:32:44,600 --> 00:32:47,239
Speaker 1: on on the Wall he says, quote, certain things are

569
00:32:47,280 --> 00:32:52,320
Speaker 1: said during the campaign that are uninformed. Uh yeah, so

570
00:32:52,960 --> 00:32:56,080
Speaker 1: that ship is like he's not going to be happy

571
00:32:56,080 --> 00:32:59,160
Speaker 1: about that. And that's and we're already seeing that Trump

572
00:32:59,480 --> 00:33:03,720
Speaker 1: has like is basically shit canning this bill that was

573
00:33:03,760 --> 00:33:07,280
Speaker 1: going to sort of extend things and uh, you know,

574
00:33:07,400 --> 00:33:10,400
Speaker 1: avoid a government shutdown, right, Like there wasn't there some

575
00:33:10,480 --> 00:33:15,360
Speaker 1: sort of bill to extend it seems like, uh, Dick

576
00:33:15,440 --> 00:33:19,080
Speaker 1: Durban and Lindsey Graham had come to like a bipartisan

577
00:33:19,120 --> 00:33:21,680
Speaker 1: solution of things. And that's when like ship just started

578
00:33:21,720 --> 00:33:24,400
Speaker 1: falling apart and the two like it's become a moving

579
00:33:24,440 --> 00:33:27,240
Speaker 1: target to even know what Trump wants anymore, Like how

580
00:33:27,280 --> 00:33:29,560
Speaker 1: to how to solve this, Like do we avoid the

581
00:33:29,600 --> 00:33:33,680
Speaker 1: shutdown with uh, just like a limited spending bill but

582
00:33:33,760 --> 00:33:36,760
Speaker 1: also add CHIP funding to get Democrats on board. The

583
00:33:36,800 --> 00:33:40,480
Speaker 1: problem is for the a child health insurance program. So yeah,

584
00:33:40,520 --> 00:33:43,960
Speaker 1: basically the I think in October the Republicans just like

585
00:33:44,440 --> 00:33:46,840
Speaker 1: we just let CHIP funding laps. So there are a

586
00:33:46,880 --> 00:33:49,160
Speaker 1: lot of kids who rely on the government for health insurance,

587
00:33:49,440 --> 00:33:52,320
Speaker 1: Like these funds are drying up rapidly and now they'll

588
00:33:52,360 --> 00:33:54,840
Speaker 1: be very vulnerable children who don't have access to healthcare

589
00:33:54,880 --> 00:33:56,880
Speaker 1: that they need um and this seems like a very

590
00:33:56,960 --> 00:33:59,160
Speaker 1: easy thing to agree on. It's like, we want, you know,

591
00:33:59,560 --> 00:34:02,240
Speaker 1: poor kids to be able to have insurance or access

592
00:34:02,240 --> 00:34:05,720
Speaker 1: to healthcare. But it's become like this bargaining tool and

593
00:34:05,760 --> 00:34:08,080
Speaker 1: now like it's become this same game of chicken between

594
00:34:08,120 --> 00:34:11,040
Speaker 1: the Republicans and Democrats of like who's gonna blink and

595
00:34:11,120 --> 00:34:13,319
Speaker 1: let the government shut down or not pass it, you know,

596
00:34:13,640 --> 00:34:17,719
Speaker 1: avoid a government shutdown, and it it's ultimately looks like

597
00:34:17,760 --> 00:34:20,520
Speaker 1: the Democrats are digging in. They're like, look, you have

598
00:34:20,680 --> 00:34:23,480
Speaker 1: the Senate, you have the House, and you have the

599
00:34:23,480 --> 00:34:26,480
Speaker 1: White House, so don't tell us we're obstructing it because

600
00:34:26,960 --> 00:34:28,560
Speaker 1: you know this is clearly you have a ton of

601
00:34:28,560 --> 00:34:31,239
Speaker 1: infighting on your side of things that you haven't sorted out.

602
00:34:31,440 --> 00:34:33,400
Speaker 1: And we're here trying to say like we want you know,

603
00:34:33,480 --> 00:34:36,319
Speaker 1: we want CHIP, we want CHIP funding UH paid in full,

604
00:34:36,480 --> 00:34:39,279
Speaker 1: and we also want to clean Dream Act, so we

605
00:34:39,400 --> 00:34:42,880
Speaker 1: don't want kids to die, and we want people who

606
00:34:43,480 --> 00:34:45,759
Speaker 1: have lived most of their life in America to not

607
00:34:45,840 --> 00:34:48,440
Speaker 1: be deported to countries and people who are contributing to

608
00:34:48,440 --> 00:34:50,520
Speaker 1: the country too. And I think it's crazy too, because

609
00:34:50,520 --> 00:34:53,000
Speaker 1: now you know they're trying to act like these kids

610
00:34:53,040 --> 00:34:56,920
Speaker 1: aren't you know, worthwhile people contributing to American society, and

611
00:34:56,920 --> 00:35:00,800
Speaker 1: that's completely false, right, But because Trump feels like people

612
00:35:00,920 --> 00:35:03,600
Speaker 1: are not giving him a proper respect, he's kind of

613
00:35:04,239 --> 00:35:08,800
Speaker 1: stopped stopped that bill from going through is basically gumming

614
00:35:08,920 --> 00:35:10,879
Speaker 1: up the works. But also it's no surprise that after

615
00:35:10,920 --> 00:35:13,600
Speaker 1: John Kelly is like I evolved, the President's like peace

616
00:35:13,640 --> 00:35:16,120
Speaker 1: there his position on it that this morning he's like,

617
00:35:16,160 --> 00:35:18,480
Speaker 1: oh no, my vision of the board of wall has

618
00:35:18,520 --> 00:35:21,960
Speaker 1: never changed or evolved, So you should have. Nobody would

619
00:35:22,040 --> 00:35:24,360
Speaker 1: love to live with that kind of blind self confidence.

620
00:35:24,400 --> 00:35:26,239
Speaker 1: I mean, that's all all these stories come back to

621
00:35:26,280 --> 00:35:28,279
Speaker 1: the same thing. For me. It's like he can just

622
00:35:28,360 --> 00:35:31,160
Speaker 1: say something and then later say that I didn't say

623
00:35:31,200 --> 00:35:34,200
Speaker 1: that thing. I always said this thing, and enough people

624
00:35:34,280 --> 00:35:37,640
Speaker 1: believe him, and it's like, it's just that's what I'm

625
00:35:37,800 --> 00:35:40,719
Speaker 1: You have to take the positives out of horrible situations.

626
00:35:41,000 --> 00:35:43,920
Speaker 1: And all I'm doing is learning how to be And uh,

627
00:35:44,040 --> 00:35:46,400
Speaker 1: I wish I won't hope I maintained being a good person,

628
00:35:46,440 --> 00:35:48,120
Speaker 1: but it's nice to know that if I'm a bad

629
00:35:48,120 --> 00:35:51,160
Speaker 1: person who consistently lies, it doesn't matter. It's a good

630
00:35:51,160 --> 00:35:53,359
Speaker 1: take away. It's really good. I mean it would be fun,

631
00:35:53,440 --> 00:35:55,080
Speaker 1: like the evil part of me. Just think of like

632
00:35:55,200 --> 00:35:57,920
Speaker 1: if you if the stakes weren't so high, like the

633
00:35:58,000 --> 00:35:59,719
Speaker 1: kind of mind games you'd play with Trump to get

634
00:35:59,760 --> 00:36:01,600
Speaker 1: him to stuff you wanted, and just like funk with

635
00:36:01,600 --> 00:36:03,399
Speaker 1: other people, like dude, watch, I'm gonna get this ship

636
00:36:03,440 --> 00:36:05,319
Speaker 1: done and just go in there and be like, dude,

637
00:36:05,360 --> 00:36:07,480
Speaker 1: that was such a good idea, man, and then get

638
00:36:07,520 --> 00:36:10,799
Speaker 1: him too, like very basic stuff like how you deal

639
00:36:10,840 --> 00:36:13,560
Speaker 1: with the difficult bosses. You get them to think that

640
00:36:13,680 --> 00:36:16,960
Speaker 1: a good idea was there, and you compliment the ship

641
00:36:17,040 --> 00:36:20,200
Speaker 1: out of them about having come up with that idea.

642
00:36:20,520 --> 00:36:23,640
Speaker 1: This is kind of a great insight into how the

643
00:36:23,680 --> 00:36:27,600
Speaker 1: people around Trump are sort of learning about how to

644
00:36:27,640 --> 00:36:33,120
Speaker 1: deal with him. Uh. Lindsay Graham was asked if Trump

645
00:36:33,440 --> 00:36:37,560
Speaker 1: was racist, and his response was pretty telling. I think

646
00:36:37,600 --> 00:36:40,080
Speaker 1: I think we have the clip of that. Why don't

647
00:36:40,120 --> 00:36:42,320
Speaker 1: you ask me is he a racist? That was my

648
00:36:42,400 --> 00:36:44,520
Speaker 1: next question. Okay, why don't you ask me? Do you think?

649
00:36:45,320 --> 00:36:48,080
Speaker 1: Absolutely not? Let me tell you what you could be

650
00:36:48,680 --> 00:36:51,719
Speaker 1: and dark as charcoal and lily white. It doesn't matter

651
00:36:52,080 --> 00:36:54,640
Speaker 1: as long as you're nice to it. You could be

652
00:36:54,719 --> 00:36:57,520
Speaker 1: the pope and criticize him. It doesn't matter. He'll go

653
00:36:57,600 --> 00:37:00,759
Speaker 1: after the pope. You could be putin and say nice

654
00:37:00,800 --> 00:37:03,440
Speaker 1: things and he will like you. Here's what I found.

655
00:37:03,520 --> 00:37:06,200
Speaker 1: He's a street fighter. It's not the color of your

656
00:37:06,239 --> 00:37:08,680
Speaker 1: skin that matters. It's not the content of your character.

657
00:37:09,080 --> 00:37:11,640
Speaker 1: Is whether or not you show him respect and like him.

658
00:37:12,040 --> 00:37:15,960
Speaker 1: And if he feels like we were all script you

659
00:37:16,000 --> 00:37:19,040
Speaker 1: don't like him, he punches back, and as president the

660
00:37:19,120 --> 00:37:21,719
Speaker 1: United States, the only advice I can give you is

661
00:37:21,760 --> 00:37:26,919
Speaker 1: it the street fights over he mentioned, he goes he's

662
00:37:26,920 --> 00:37:30,040
Speaker 1: such a bad person. Lindsay Graham's a bad person because

663
00:37:30,040 --> 00:37:32,640
Speaker 1: he's like pretending to be kind of liberal but deeply

664
00:37:32,680 --> 00:37:38,640
Speaker 1: conservatives when he says woke Shi, Yeah you're talking. Also,

665
00:37:38,719 --> 00:37:40,840
Speaker 1: why are they asking a white person if he's racist?

666
00:37:41,280 --> 00:37:44,879
Speaker 1: It's so stupid. Yeah, he's a street fighter. Man, which

667
00:37:44,880 --> 00:37:48,719
Speaker 1: one do you think he is? I think he's Blanca

668
00:37:47,400 --> 00:37:52,000
Speaker 1: or maybe Guile. Actually guile makes more sense at all. Yeah,

669
00:37:52,120 --> 00:37:55,000
Speaker 1: but did he think that was like defense? I don't

670
00:37:55,040 --> 00:37:58,480
Speaker 1: know what it was likely to defend someone who he

671
00:37:58,520 --> 00:38:01,760
Speaker 1: fights against. Anyone calling him out is not racist because

672
00:38:01,760 --> 00:38:04,399
Speaker 1: he fights against anyone calling him out. Even though most

673
00:38:04,400 --> 00:38:06,560
Speaker 1: people calling him out are not white, right, what are

674
00:38:06,600 --> 00:38:09,520
Speaker 1: we talking about? That's the funny thing about, Like you

675
00:38:09,560 --> 00:38:12,600
Speaker 1: don't get to say you're not racist. Like if people

676
00:38:12,600 --> 00:38:15,120
Speaker 1: are calling you racist, you're racist. That's like it has

677
00:38:15,160 --> 00:38:18,600
Speaker 1: nothing to do with what you think you are. But

678
00:38:18,640 --> 00:38:20,759
Speaker 1: I mean, like the better version of that answer would

679
00:38:20,760 --> 00:38:24,600
Speaker 1: have been like, look, yes he's racist. But also here's

680
00:38:24,640 --> 00:38:27,319
Speaker 1: the thing, even if you're black, he will like you

681
00:38:27,320 --> 00:38:29,400
Speaker 1: if you just kiss his ass, So like there's a

682
00:38:29,440 --> 00:38:32,120
Speaker 1: way to bypass his racism if you're just a sicker

683
00:38:32,120 --> 00:38:35,520
Speaker 1: fan like, which I think is what he was trying

684
00:38:35,520 --> 00:38:38,880
Speaker 1: to say, without like you know, sort of repul like

685
00:38:38,960 --> 00:38:41,600
Speaker 1: having a repulsive effect on his his base of like

686
00:38:41,640 --> 00:38:43,680
Speaker 1: Republican people who don't want to hear anyone in the

687
00:38:43,760 --> 00:38:46,279
Speaker 1: GOP call him racist. So he's like, no, he's not,

688
00:38:46,320 --> 00:38:48,200
Speaker 1: but let me say this other ship that is kind

689
00:38:48,239 --> 00:38:50,640
Speaker 1: of fucked up about his ego but not full you know,

690
00:38:50,719 --> 00:38:52,319
Speaker 1: not a full throat of being like yo, he thinks

691
00:38:52,320 --> 00:38:55,080
Speaker 1: what he was saying is basically yes, but I want

692
00:38:55,120 --> 00:38:57,200
Speaker 1: to keep getting the kickbacks I get as a senator,

693
00:38:57,280 --> 00:38:59,640
Speaker 1: So no, yeah, like he's a piece of ship. And

694
00:38:59,640 --> 00:39:02,480
Speaker 1: then there is an implicit threat against the media there

695
00:39:02,520 --> 00:39:05,080
Speaker 1: at the end, like you're working with the president who

696
00:39:05,120 --> 00:39:08,200
Speaker 1: will destroy you and like wants to destroy you, so

697
00:39:08,320 --> 00:39:11,640
Speaker 1: stop saying things he doesn't like. Was essentially I think,

698
00:39:11,760 --> 00:39:13,880
Speaker 1: like what when he was like, the street fight is

699
00:39:14,000 --> 00:39:16,600
Speaker 1: over and he's the president. I thought he was saying

700
00:39:16,600 --> 00:39:20,080
Speaker 1: that he doesn't have to that street fight mentality is

701
00:39:20,560 --> 00:39:23,719
Speaker 1: no longer needed. Look only speaking outdated nineties video. And

702
00:39:24,719 --> 00:39:27,239
Speaker 1: that's how I was also pretty impressed. Yeah, thank you.

703
00:39:28,760 --> 00:39:31,239
Speaker 1: All right, we're gonna take a quick break. We'll be

704
00:39:31,520 --> 00:39:43,080
Speaker 1: right back, and we're back. Yes, we're back. And you

705
00:39:43,120 --> 00:39:46,320
Speaker 1: know me, I'm all about a big proponent of cannabis,

706
00:39:46,400 --> 00:39:50,280
Speaker 1: adult use, medical use, and otherwise. UH and Prop sixty

707
00:39:50,280 --> 00:39:52,520
Speaker 1: four in California did a great thing, right, It created

708
00:39:52,920 --> 00:39:57,520
Speaker 1: uh a legal adult use marijuana recreational we basically made

709
00:39:57,560 --> 00:40:00,680
Speaker 1: recreational wead legal here. But another great part of Prop.

710
00:40:00,800 --> 00:40:04,080
Speaker 1: Sixty four is that it also allows anyone basically to

711
00:40:04,120 --> 00:40:09,239
Speaker 1: have their past marijuana related offenses crimes reduced or exponged completely,

712
00:40:09,480 --> 00:40:12,520
Speaker 1: which is wild because they're saying, like, look, weed is legal,

713
00:40:12,520 --> 00:40:14,680
Speaker 1: and I guess now that we know that you shouldn't

714
00:40:14,680 --> 00:40:17,640
Speaker 1: have to be completely punished for any kind of crimes

715
00:40:17,800 --> 00:40:20,840
Speaker 1: that you committed in regards to possession, especially because a

716
00:40:20,840 --> 00:40:23,799
Speaker 1: lot of people got like felony possession for weed and

717
00:40:23,920 --> 00:40:26,520
Speaker 1: can't get jobs, can't get loans and things like that.

718
00:40:26,600 --> 00:40:29,960
Speaker 1: So this is like a very great opportunity for for

719
00:40:30,120 --> 00:40:32,600
Speaker 1: you know, society sort of change these kinds of things

720
00:40:32,960 --> 00:40:35,120
Speaker 1: and allow people to kind of start over a new

721
00:40:35,400 --> 00:40:40,120
Speaker 1: especially because like African Americans California were five times is

722
00:40:40,160 --> 00:40:43,360
Speaker 1: likely to get arrested for a marijuana felony the white offenders,

723
00:40:43,560 --> 00:40:48,440
Speaker 1: So these constraints disproportionately affected them, and now we're showing like, hey,

724
00:40:48,480 --> 00:40:50,200
Speaker 1: this is part of the new the new era. We

725
00:40:50,239 --> 00:40:52,360
Speaker 1: also believe that you should ruin your life because of

726
00:40:52,760 --> 00:40:56,200
Speaker 1: some you're you're whole in some wheat. And how many

727
00:40:56,239 --> 00:40:59,560
Speaker 1: people are eligible for this, I think nearly like a

728
00:40:59,640 --> 00:41:03,440
Speaker 1: million people or something. It's pretty it's pretty. Uh, it's

729
00:41:03,480 --> 00:41:06,920
Speaker 1: I think it's roughly one million Californians are are eligible.

730
00:41:06,920 --> 00:41:10,479
Speaker 1: According to the Drug Policy Alliance, there is nothing more

731
00:41:10,600 --> 00:41:14,200
Speaker 1: stupid than the fact that weed was illegal, like alcohol

732
00:41:14,440 --> 00:41:17,440
Speaker 1: is legal, Like, are you fucking kidding me? I think

733
00:41:17,440 --> 00:41:20,120
Speaker 1: we should ban alcohol. I don't like anyone who drinks

734
00:41:20,120 --> 00:41:21,880
Speaker 1: a lot. Obviously, you shouldn't ban anything. You should let

735
00:41:21,920 --> 00:41:23,279
Speaker 1: people do whatever the funk they want and funk up

736
00:41:23,320 --> 00:41:25,279
Speaker 1: their lives and do whatever deal with anxiety the way

737
00:41:25,280 --> 00:41:28,319
Speaker 1: they want. But what are we talking about here, like

738
00:41:28,440 --> 00:41:32,080
Speaker 1: if anything, like we just increases the economy of like

739
00:41:32,440 --> 00:41:36,279
Speaker 1: Amazon downloads and like like food delivery, Like it's just

740
00:41:36,320 --> 00:41:39,799
Speaker 1: like it's just good for the economy and who cares? Like?

741
00:41:40,239 --> 00:41:43,280
Speaker 1: But also I feel like just the idea that drugs

742
00:41:43,320 --> 00:41:45,799
Speaker 1: are illegal is just part of this puritanical myth that

743
00:41:45,920 --> 00:41:49,279
Speaker 1: life has to be this utopia um or people are

744
00:41:49,320 --> 00:41:54,560
Speaker 1: always like struggling to um they're struggling to accept that

745
00:41:54,680 --> 00:41:56,640
Speaker 1: life is not the utopia they wanted to be, whether

746
00:41:56,680 --> 00:42:00,399
Speaker 1: it's like socialist or religious like Christian or something like that.

747
00:42:00,480 --> 00:42:04,319
Speaker 1: It's just so offensive and horrible that people won't talk

748
00:42:04,320 --> 00:42:07,680
Speaker 1: about what adulthood actually is, which is very painful. And

749
00:42:07,760 --> 00:42:12,360
Speaker 1: we need drugs, let's be real, right, So yeah, I

750
00:42:12,360 --> 00:42:15,520
Speaker 1: mean it's good to know that you know that people

751
00:42:15,560 --> 00:42:18,400
Speaker 1: are thinking about this too, because it could have just

752
00:42:18,480 --> 00:42:21,480
Speaker 1: as easily been like hey, weed as legal and not

753
00:42:21,920 --> 00:42:23,600
Speaker 1: thought about like, well, hey, if weed is legal, what

754
00:42:23,640 --> 00:42:26,000
Speaker 1: about these people that are in jail or like have

755
00:42:26,200 --> 00:42:28,680
Speaker 1: completely had their lives fucked over because they can't. They

756
00:42:28,719 --> 00:42:30,239
Speaker 1: have to be like, hey, were you ever convicted of

757
00:42:30,239 --> 00:42:32,480
Speaker 1: a felony and a job ere? Like yeah, it's so stupid.

758
00:42:32,520 --> 00:42:34,840
Speaker 1: It's like in Germany, like if people had felonies for

759
00:42:34,920 --> 00:42:36,680
Speaker 1: being Jewish, you know what I mean. It's like, what

760
00:42:36,760 --> 00:42:38,960
Speaker 1: are we talking about here? Like, of course you should

761
00:42:38,960 --> 00:42:41,040
Speaker 1: expunge it. This should never have been a crime. We

762
00:42:41,080 --> 00:42:43,880
Speaker 1: made a mistake because we're scared of the truth. So

763
00:42:43,920 --> 00:42:46,400
Speaker 1: this is us. Yeah, it's it's the government or at

764
00:42:46,440 --> 00:42:49,359
Speaker 1: least the state of California making good on that. And

765
00:42:49,840 --> 00:42:53,839
Speaker 1: are there law firms that are going to or you know,

766
00:42:54,000 --> 00:42:58,359
Speaker 1: funds or charities that people can look into. I don't.

767
00:42:58,400 --> 00:43:00,360
Speaker 1: I don't know if we we don't have that information,

768
00:43:00,400 --> 00:43:02,640
Speaker 1: I guess right now. But yeah, I'm I'm hoping somebody

769
00:43:02,760 --> 00:43:07,680
Speaker 1: is like dedicating themselves to just helping people get uh

770
00:43:07,719 --> 00:43:11,880
Speaker 1: their marijuana related offenses reduced or expunged, because yeah, well

771
00:43:11,880 --> 00:43:13,640
Speaker 1: I think that's sort of the next step is making

772
00:43:13,680 --> 00:43:16,960
Speaker 1: sure that you know, public defenders offices and legal a

773
00:43:17,080 --> 00:43:19,719
Speaker 1: providers can like actually talk tell people that's like hey,

774
00:43:19,760 --> 00:43:21,680
Speaker 1: just so you know, like I'm looking through the records.

775
00:43:21,680 --> 00:43:24,000
Speaker 1: I heard, Yes, I got a felony like possession thing.

776
00:43:24,520 --> 00:43:27,279
Speaker 1: You can actually petition to get this changed. Yeah, like

777
00:43:27,320 --> 00:43:32,080
Speaker 1: an innocence project for people who got arrested for bullshit

778
00:43:32,480 --> 00:43:34,960
Speaker 1: weed related offenses. I think it's funny because when you

779
00:43:35,000 --> 00:43:36,880
Speaker 1: go get your weed card, all the doctors are like

780
00:43:37,000 --> 00:43:39,319
Speaker 1: doctor for twenty and all that stuff, and now there's

781
00:43:39,320 --> 00:43:45,719
Speaker 1: gonna be a lawyer four twenty esquire. Just everything is

782
00:43:45,880 --> 00:43:50,360
Speaker 1: a chance for branding the Well Network offices of Green

783
00:43:50,640 --> 00:43:57,160
Speaker 1: Bud and some other fucking damn real stone over here. Seriously, guys,

784
00:43:57,880 --> 00:44:02,520
Speaker 1: all right, that's gonna do it for this week's weekly Zeite. Guys,

785
00:44:02,640 --> 00:44:06,440
Speaker 1: please like and review the show. If you like the show,

786
00:44:07,040 --> 00:44:11,440
Speaker 1: uh means the world of Miles. He needs your validation, folks.

787
00:44:12,040 --> 00:44:15,120
Speaker 1: I hope you're having a great weekend and I will

788
00:44:15,120 --> 00:45:03,880
Speaker 1: talk to you Monday. By h has sat up