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Speaker 1: From UFOs to psychic powers and government conspiracies. History is

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Speaker 1: riddled with unexplained events. You can turn back now or

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Speaker 1: learn this stuff they don't want you to know. A

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Speaker 1: production of iHeartRadio.

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Speaker 2: Hello, welcome back to the show. My name is Matt,

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Speaker 2: my name is Noel.

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Speaker 3: They call me Bed. We're joined as always with our

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Speaker 3: super producer Dylan the Tennessee Hal Fagan. Most importantly, you

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Speaker 3: are here. That makes this the stuff they don't want

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Speaker 3: you to know. It's September twenty second as we're publishing this,

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Speaker 3: it's the seventeenth as we're recording it. Welcome to Strange

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Speaker 3: News Now. We wanted to We got so much stuff

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Speaker 3: to get to. This a science heavy expiration. I don't

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Speaker 3: know where we want to start. You guys, you ever

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Speaker 3: get tired of human politicians?

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Speaker 1: Nah?

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Speaker 3: They're great? Ten ten, no notes, big fan.

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Speaker 2: Fully over it. Let's bring on all of the robots.

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Speaker 3: Tight. Yes, uh that is uh, that is our palm.

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Speaker 3: Matt Frederick speaking on behalf of Albania's Tourism Board, which

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Speaker 3: we're all uh, we're all unofficial members of.

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Speaker 4: Yeah.

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Speaker 3: One thing we wanted to open the show with here

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Speaker 3: is that Albania has officially appointed an Ai Bot as

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Speaker 3: a minister to tackle corruption.

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Speaker 5: Wow, mixed feelings, but not entirely negative. Just put that

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Speaker 5: out there.

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Speaker 3: Yeah, maybe cutting past the uh the root of political corruption, which.

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Speaker 5: Is humans humans that is, And that's what I've always

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Speaker 5: kind of thought, like I could see AI being useful

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Speaker 5: in government with if it's just focusing on like dispassionate

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Speaker 5: algorithmically generated policies that are based on the best possible outcome.

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Speaker 5: But we know it's not there yet, is the problem,

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Speaker 5: and people are rolling it out way too willy nilly.

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Speaker 5: But I do see the potential for this. Maybe you know,

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Speaker 5: in the future.

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Speaker 2: It's just gonna gaslight everybody in their parliament or whatever

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Speaker 2: they use in Albania.

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Speaker 5: Right this is or whatever they use in Albabia, or

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Speaker 5: just tell them their ideas are great and they should

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Speaker 5: just make it into a project. That's what I mean.

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Speaker 2: Yeah, oh yes, they're going Bruce Buffer with it, you know.

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Speaker 3: That love bomb. I don't know. Bruce Buffer is not either.

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Speaker 2: He's the UFC dude who always says, oh it's that guy,

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Speaker 2: that's what they decide.

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Speaker 3: That's where that's where Strickling got it from. Uh Yeah,

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Speaker 3: this AI bought is named Delia d I e l

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Speaker 3: l A, which means Sun in Albanian. There's a great

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Speaker 3: article from The Straits Times which talks about this in depth,

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Speaker 3: published on September eleventh. The idea here is that Delia

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Speaker 3: will manage all the public procurement stuff. So like when

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Speaker 3: the Albanian government needs to work with a private company

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Speaker 3: to figure out the best bid for you know, infrastructure

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Speaker 3: like building a road or a bridge or what have you,

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Speaker 3: Delia will be the entity that decides who gets that money.

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Speaker 3: Delia will then if everything works out, will people will

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Speaker 3: avoid all of the the typical right, I know, vulnerability

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Speaker 3: points of of human private industry interactions, which we know

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Speaker 3: are super corrupt throughout the world except for maybe Singapore

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Speaker 3: and Bhutan. No, just Singapore actually, and.

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Speaker 2: They're just they're only not corrupt because you'll get caned.

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Speaker 3: Yeah, they're only they're they're not corrupt the way that

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Speaker 3: doctor Doom's La Turvia is not corrupt, you know what

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Speaker 3: I mean, because they're not really bothering with democracy anyway.

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Speaker 3: We want to hear your thoughts on this idea. Obviously,

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Speaker 3: I think we're all on the same page as Noel said, earlier.

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Speaker 3: There are mixed feelings because maybe the technology isn't as

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Speaker 3: you said, isn't there yet. We also know that AI

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Speaker 3: or whatever is called AI at this point typically is

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Speaker 3: going to carry the imperfections of its human creators, and

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Speaker 3: it doesn't have a moral compass as of yet. So

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Speaker 3: you can totally say the quiet part out loud. You

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Speaker 3: can program corruption.

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Speaker 2: Yeah, well, and you could butter it up like all

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Speaker 2: the other ones, like we've seen you just talk nice

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Speaker 2: to them, tell them amazing things about themselves and then

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Speaker 2: they're like, oh okay, because we're friends.

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Speaker 3: Yeah, and this is tied in by the way. We'll

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Speaker 3: move on, but this is tied into Albania's international reputation

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Speaker 3: for corruption, especially given that so many criminal organizations launder

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Speaker 3: money effectively through there, like kind of like how the

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Speaker 3: MOB does or used to do in New Jersey and

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Speaker 3: construction projects. So we'll see how it goes. Albania is

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Speaker 3: hoping to use this new technology to tighten up a

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Speaker 3: little bit as they attempt to join the European Union.

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Speaker 3: So more to come on that. But while we're talking

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Speaker 3: about technology and science, you guys, what say we take

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Speaker 3: a break for a word from our sponsors and get

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Speaker 3: to a pretty disturbing story and we've returned, so this

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Speaker 3: may not well, this is a story guys, we and

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Speaker 3: our fellow conspiracy realist will probably find disturbing. But for

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Speaker 3: people who hate nerds, this is great news.

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Speaker 5: Oh, dear who hate a nerd. Nerd are the best,

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Speaker 5: right all of the earth people.

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Speaker 3: Yeah, we're a bit biased in that regard, to be fair.

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Speaker 3: The issue is something called a brain drain, and we

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Speaker 3: know what a brain drain is. It occurs in smaller

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Speaker 3: and larger levels. A brain drain is a term for

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Speaker 3: when people who are highly skilled in one industry or

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Speaker 3: line of thought or another leave their original place to

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Speaker 3: go to another place for better opportunities. This happens throughout

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Speaker 3: the world. A lot of people you know, become doctors,

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Speaker 3: for instance, and they move from a rural area to

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Speaker 3: a city, right that has more economic opportunity for them, right,

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Speaker 3: and probably better career propositions as well. Yeah, yeah, yeah,

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Speaker 3: it's a way.

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Speaker 5: It's a term that I hadn't thought about in a

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Speaker 5: long time, but it came up in conversation with a

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Speaker 5: friend the other day. Around smaller towns even where like

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Speaker 5: they can experience brain drain, or even college towns where

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Speaker 5: people you know, graduate and then move on and there's

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Speaker 5: really very little talent pool remaining in those areas.

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Speaker 3: Yeah, and that's that's becoming a crisis here in the

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Speaker 3: just in the medical sphere of the United States, especially

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Speaker 3: in smaller towns or places outside of cities where they

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Speaker 3: need a hospital open, but it's becoming more difficult for

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Speaker 3: that hospital to stay afloat. Very very scary stuff right now.

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Speaker 3: What we're seeing is a macrocosmic version of that. It's

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Speaker 3: getting talked about a little bit in the news, but

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Speaker 3: maybe we maybe we started this way. Technological tensions are

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Speaker 3: rising between China and the unit United States. There's a

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Speaker 3: lot of exciting science happening here. However, a lot of

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Speaker 3: US based academics, oftins, stem types, scientists, and researchers are

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Speaker 3: having a tough time. They're concerned that politics are styming science,

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Speaker 3: what with all the budget cuts, what with all the

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Speaker 3: culture wars regarding various types of research. In a recent

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Speaker 3: poll by Nature magazine just at the end of March

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Speaker 3: this year, seventy five percent of US scientists said they

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Speaker 3: were considering leaving the United States and looking for jobs

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Speaker 3: in Europe or Canada.

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Speaker 5: Well, I mean it's such an anti research, anti science

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Speaker 5: administration right now, and so many of these cuts that

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Speaker 5: have been happening are these doze manipulations are threatening those

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Speaker 5: types of positions. Like I think we all know people

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Speaker 5: who work in research institutions who feel incredibly unsafe in

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Speaker 5: their lively hoods. Why wouldn't you do that if you

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Speaker 5: had the opportunity to do so.

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Speaker 2: This world is a technological superiority game, right. We've talked

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Speaker 2: about that before in most ways, especially when it comes

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Speaker 2: to state craft. Let's say your goal is to get

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Speaker 2: scientists to your country to develop weapons and defense mechanisms

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Speaker 2: for your country, and you wanted to court the top

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Speaker 2: scientists in specific fields. What is one way to get

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Speaker 2: those scientists to say yes to your offer? You know,

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Speaker 2: instead of having a lot of loyalty for whatever country

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Speaker 2: or company that they currently work for.

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Speaker 5: What's not only pay, it's opportunity and the ability to

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Speaker 5: be supported in things that interest them.

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Speaker 3: Yes, yes, exactly exactly.

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Speaker 5: They'll do the other thing if they get to do

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Speaker 5: the thing that they're passionate about.

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Speaker 3: Doing, you know, exactly. Yeah. I was describing it to

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Speaker 3: a friend who has actually relocated to Japan full time

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Speaker 3: as part of this science exodus. And the way we

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Speaker 3: described it is, let's say you're a pretty well known actor.

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Speaker 3: We're all familiar with the term paycheck movies. That's when

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Speaker 3: an actor does an actor, a director, a dop or whatever,

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Speaker 3: they do a project that maybe they're not passionate about

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Speaker 3: because it gives them enough financial support for them to

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Speaker 3: do the smaller things that they do care about.

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Speaker 5: One for them, one for me is something to hear.

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Speaker 3: And that's the bargain that scientists made in World War Two.

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Speaker 3: Are at the close of World War two and we're

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Speaker 3: seeing another wave of that. It is happening now. It's

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Speaker 3: not being widely reported in honesty to the public. But

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Speaker 3: let's go to let's go to a great article by

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Speaker 3: the Association of American Universities. We don't know if they're

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Speaker 3: part of ATLAS network. We haven't checked because they're like

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Speaker 3: six one hundred and something organizations in ATLAS. So on

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Speaker 3: June twenty seven, twenty twenty five, the Association of American

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Speaker 3: Universities summarized some pretty disturbing stuff. If you care about

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Speaker 3: the US being good at science, A lot of it's

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Speaker 3: coming from Europe. On April twenty sixth of this year,

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Speaker 3: the Danish Chamber of Commerce CEO Brian Mickelson went on

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Speaker 3: Instagram and said this to all the brilliant researchers in

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Speaker 3: the US feeling uncertain right now, Denmark is open. We

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Speaker 3: need you Across the Atlantic. We're watching with concern as

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Speaker 3: politics begin to overshadow science. So Denmark's in the race.

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Speaker 3: He also fun cultural note while he say this on

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Speaker 3: social media, do you guys know what song was playing

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Speaker 3: in the background.

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Speaker 5: You can't always get what you want now, I don't

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Speaker 5: know that'd be funny.

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Speaker 3: It's Bruce Springsteen's born in the USA.

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Speaker 2: Okay, Ah, so you're born here. No, Welcome to Denmark.

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Speaker 5: Welcome to denmarkt I love the ex well, the journey

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Speaker 5: is so thick of me because obviously this administration is

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Speaker 5: also quite pro war, you know, renaming the Defense Department

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Speaker 5: Department of War and all of that, and being quite hawkish.

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Speaker 5: And to your point, Ben and Matt, there's technology and

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Speaker 5: technological superiority jockeying that goes into being the best at that,

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Speaker 5: and so when you start to deprioritize all of these

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Speaker 5: other things, then you start to lose that talent pool

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Speaker 5: that could help you win that race. And it's just

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Speaker 5: a little short sighted, if not incredibly short sighted.

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Speaker 3: It's mister McGoo level short sighted, to be quite honest, right,

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Speaker 3: And look, this is not to sound cenophobic or anything

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Speaker 3: like that, but China is going to be the next

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Speaker 3: big dog. The writings on the Wall will talk a

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Speaker 3: little bit more about the science there that is phenomenal

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Speaker 3: in later episodes or strange news or list or mail folks,

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Speaker 3: we want to hear from you if you're a science refugee,

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Speaker 3: conspiracydiheartradio dot com. We also want to share a couple

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Speaker 3: of other stories just to let you know how hungry

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Speaker 3: other nations are for American scientists. The Minister of Science

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Speaker 3: and Innovation over in Spain had, prior to the Danish remarks,

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Speaker 3: had said, look, we're going to expand our program to

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Speaker 3: attract international scientist, whomever you might be, from whatever country

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Speaker 3: you might be happening to hear this in They specifically said,

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Speaker 3: we're looking for researchers who are in the United States

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Speaker 3: and are being scorned by the current administration. Here's where

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Speaker 3: it gets crazy. Spain put their money where their mouth is.

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Speaker 3: They said, we're going to give the equivalent of one

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Speaker 3: million US dollars to each researcher. That's your paycheck movie,

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Speaker 3: and if you are i mean from the United States,

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Speaker 3: will also give you an additional two hundred thousand US

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Speaker 3: dollars for whatever research you want to do.

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Speaker 5: Well, and how soon before the administration starts calling foul

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Speaker 5: on efforts like that. I mean, truly, it would be

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Speaker 5: such a silly, bad look. But you know, that's the

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Speaker 5: kind of thing they get their panties in a bunch

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Speaker 5: abouts because it used to be that we got all

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Speaker 5: of the best researchers from the rest of the world. Yeah,

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Speaker 5: that's what happened. We were the spot.

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Speaker 3: We're also hamstringing because this is kind of breaking news.

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Speaker 3: But the current US administration just said that Chinese nationals

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Speaker 3: legal visa holders can no longer work for NASA.

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Speaker 5: Wow. Yeah, I heard they're pretty good at science over there.

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Speaker 5: It seems like a bit of a cutting off your

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Speaker 5: nose despite your face situation.

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Speaker 3: I mean, it's an espionage protective it's a protective measure

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Speaker 3: against espiones.

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Speaker 5: We're going to talk about that a little later in

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Speaker 5: today as well. So there's okay, fair enough, Devil's advocate.

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Speaker 5: I'm with you on that.

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Speaker 3: I understand that part.

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Speaker 2: Ben, Would you mind if I double down on something

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Speaker 2: really fast?

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Speaker 3: Sure?

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Speaker 2: I'm nervous about this for a whole other reason now,

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Speaker 2: because I was looking at another series of stories about

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Speaker 2: the nation's report card. I don't know if you guys

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Speaker 2: look at that ever. Yes, yeah, just about how low

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Speaker 2: the reading and science and math skills are specifically for

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Speaker 2: twelfth year like twelfth year or high school seniors.

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Speaker 3: Yeah, it's bad.

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Speaker 2: And just imagining the next batch of human beings that

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Speaker 2: would become scientists when only thirty three percent of those

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Speaker 2: tested are actually ready for math at a college level.

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Speaker 2: And I mean I get that you can get theoretical

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Speaker 2: creamly crop or whatever that ends up going to prestigious

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Speaker 2: institutions and become these next high level scientists. It's just yeah,

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Speaker 2: we got less cream.

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Speaker 3: That's reality. There's less cream, more cream.

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Speaker 5: And you know, like as apparent I guess of a

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Speaker 5: gen z kid. Let's also maybe be thoughtful in saying that,

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Speaker 5: maybe that that life isn't for everybody, of course, because

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Speaker 5: you pursue a certain maybe more creative path, or a

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Speaker 5: path that's more online or something. It's it's very valid,

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Speaker 5: and I'm not saying that every kid should have aspirations

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Speaker 5: to be an influencer, but I think there's a certain

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Speaker 5: different kind of smarts that comes with that general person.

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Speaker 3: That's all I'm saying, one hundred percent, and agreed. There's

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Speaker 3: also I was thinking about this while while researching this

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Speaker 3: week's Strange News segment, and the way I like to

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Speaker 3: think of it, guys, is that everyone is a scientist

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Speaker 3: at some level. Right. Everybody becomes good at something right,

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Speaker 3: or has a certain knack or a call or a nobility,

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Speaker 3: and it's you know, I think it's been very damaging

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Speaker 3: in the American education system for generations. People were told

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Speaker 3: that you have to go to college to make it

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Speaker 3: in the United States, which is simply not the case.

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Speaker 3: And shout out to everybody who checked out our student

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Speaker 3: loan conspiracy episode, because that thing is true and damaging,

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Speaker 3: you know, to this point, Matt. One troubling comment I

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Speaker 3: was reading in a couple of different forums from medical

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Speaker 3: experts actually was it was imploring people in the United

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Speaker 3: States to get any medical care they need it done

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Speaker 3: as soon as possible, and it said, you know, we

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Speaker 3: have to consider that the next generation of doctors may

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Speaker 3: well not be as capable in the United States as

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Speaker 3: the current generations due to the shifting nature of education

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Speaker 3: and foisting so much critical thoughts upon large language models. Right,

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Speaker 3: not really right in your own essays. So this this

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Speaker 3: is a concern. It's the same concern that led France,

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Speaker 3: Australia and Norway and several other nations to attract scientists

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Speaker 3: in the United States. But Matt, want to throw back

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Speaker 3: to you, because we were talking a little bit off

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Speaker 3: air about I think we're on the same page. Obviously,

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Speaker 3: everybody has their own talents. Everything is a science, and

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Speaker 3: everyone can be a scientist. But we I think we

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Speaker 3: all share the same agreement that you don't have to

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Speaker 3: go to college if it's not a fit for you.

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Speaker 2: You certainly you don't have to go to college. I

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Speaker 2: would just say that if if you want to have

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Speaker 2: the type of expertise that we're talking about here, scientists

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Speaker 2: who are going to lead fields that end up, you know,

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Speaker 2: producing innovation, you do have to go to college, and

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Speaker 2: you do have to work your ass off, and you

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Speaker 2: have to you know, find a way to navigate all

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Speaker 2: of those systems that we've talked about before. The peer

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Speaker 2: reviewed system, the getting granted all that, and it is

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Speaker 2: and that isn't to speak down in any way to

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Speaker 2: anybody who doesn't go to college. It's just it. I

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Speaker 2: love the sentiment. It's a really good sentiment, and I

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Speaker 2: agree with it. And you know, one day you could

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Speaker 2: become a podcaster.

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Speaker 5: You too, That's true. But if you're really you're not

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Speaker 5: going to learn, keep science on YouTube videos so you

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Speaker 5: can learn some general science explanation and get a broader

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Speaker 5: sense of things. But you need to learn from the

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Speaker 5: best and be in institutions of learning that specialize and

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Speaker 5: that kind of stuff. That's where you want to take

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Speaker 5: your brain and your life. Sorry, didn't mean interrupt magicants. Okay,

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Speaker 5: I think we're.

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Speaker 3: All passionate about this.

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Speaker 2: Yeah, we've talked about the con Academy many times and

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Speaker 2: other resources that exist out there that can teach you things.

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Speaker 2: And you can take classes at Harvard online for free,

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Speaker 2: at least you could a.

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Speaker 3: While back, yes, but you still can't.

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Speaker 2: But if you don't have that interaction with others who

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Speaker 2: are in those same pursuits, in those same fields, and

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Speaker 2: the professors. Honestly, it's the professors in my mind, the

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Speaker 2: people you're going to glean that high level information from

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Speaker 2: It's not the same.

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Speaker 3: Yeah, I agreed. I'd like to add some more to

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Speaker 3: this because it is it is an exodus. It does

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Speaker 3: touch upon conspiracy, which is why we're including it in

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Speaker 3: this week's Strange News segment. In a statement from Australia's

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Speaker 3: Global Talent Attraction Program, they said Australia has an urgent

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Speaker 3: and unparalleled opportunity to attract the smartest minds leaving the

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Speaker 3: United States to seed capability here and to our earlier point,

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Speaker 3: nurture the next generation of scientists and innovators.

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Speaker 5: Right.

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Speaker 3: This is where we learned that knowledge is transmissible, right,

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Speaker 3: and technology is transmissible. This is something that a lot

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Speaker 3: of people don't think about because we don't like to

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Speaker 3: think about it. When you think of a scientist exodus,

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Speaker 3: you're thinking of things like Operation paper Clip in World

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Speaker 3: War Two. Well, the sequel is here. It's exodus Electric boogloo.

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Speaker 3: At this point, I also want to shout out University

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Speaker 3: al Marseille over in France that create a program called

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Speaker 3: Safe Place for Science. As soon as they opened this program,

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Speaker 3: as reported by a lot of whys over at MPR,

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Speaker 3: nearly three hundred scientists applied immediately because they were concerned

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Speaker 3: about cut for funding and they are seeking refugee status.

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Speaker 3: So not not refugee based on one's personal identity or creed,

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Speaker 3: or or ethnicity or anything like that. Based upon one's knowledge,

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Speaker 3: one becomes a refugee as far as the international community

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Speaker 3: is concerned. And that is beat me here, Dylan. That

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Speaker 3: is extremely came worried.

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Speaker 5: Uh, you know, agreed.

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Speaker 3: I don't know where it goes. To your point, Matt,

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Speaker 3: I don't know if we can apply ourselves as podcaster refugees.

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Speaker 3: I think. I don't know if it's to us. I

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Speaker 3: don't know if the skill set is right there.

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Speaker 2: Just we have to do is watch out what we

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Speaker 2: post on our social media. That's all we gotta do.

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Speaker 3: I deleted that off the harder because yeah, that's the thing.

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Speaker 3: M Well, I get that too, Like, let's spend a

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Speaker 3: second on that, because you know, I was thinking about

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Speaker 3: how different positions in the public sphere have different roles

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Speaker 3: and responsibilities. Right if it's if you're a politician, it's

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Speaker 3: your job as you're remit to make political statements. If

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Speaker 3: you are a member of the armed forces, you have

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Speaker 3: to be very careful what you post and we all

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Speaker 3: know that. And if you are a professor, let's think

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Speaker 3: about this, not as the professor. You're the student, okay,

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Speaker 3: and you find out that your professor or your educator

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Speaker 3: is posting a bunch of hate speech. You know, Let's

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Speaker 3: say you're a Welsh transfer student and you stumble across

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Speaker 3: your professor's TikTok and your professor's TikTok is all about

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Speaker 3: how they hate the Welsh and they think they have

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Speaker 3: tiny fingers or something like that. Would you feel safe

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Speaker 3: going to that class?

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Speaker 2: Well?

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Speaker 5: No, And it's an interesting parallel too with a lot

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Speaker 5: of what's going on right now, a lot of talk

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Speaker 5: and the government after the I think we can all

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Speaker 5: agree tragic assassination of Charlie Kirk about prohibiting hate speech.

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Speaker 5: And you know, we know that hate speech technically, of course,

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Speaker 5: is protected speech, but that doesn't mean there aren't consequences

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Speaker 5: for your speech. So if you're in a position like

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Speaker 5: that as a person, an educator or whatever it might

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Speaker 5: be a professional person, and you are seen as spreading

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Speaker 5: this kind of stuff, there will be consequences. People will

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Speaker 5: not want to be around you. You know, not that

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Speaker 5: you can be prosecuted, but social consequences are going to

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Speaker 5: kick in.

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Speaker 3: Yeah, and it's a bag of badgers for sure, because

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Speaker 3: the first amendment is, you know, the first one, so

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Speaker 3: hopefully like people clearly had their priorities in order when

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Speaker 3: they were amending the Constitution. And at this point we

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Speaker 3: want to pause. There's a lot of stuff we're not

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Speaker 3: going to get to. The air strikes on Venezuelan boats,

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Speaker 3: the recent coup of lime Wire acquiring fire Festival. That

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Speaker 3: one's for you, nol.

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Speaker 5: So weird too, like scam based organizations Joining.

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Speaker 3: Forces see their press release is awesome because in their

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Speaker 3: press release, LimeWire literally says what could possibly go wrong?

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Speaker 3: So points to you guys. We want to hear from

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Speaker 3: all scientists, all academics, researchers, and you know what, No,

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Speaker 3: we want to hear from all of you fellow conspiracy

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Speaker 3: realists who are considering relocating from the United States. Tell

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Speaker 3: us if you're doing it, tell us if you have

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00:24:33,920 --> 00:24:38,240
Speaker 3: decided to stay, and tell us and tell us why

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Speaker 3: we want to hear from you conspiracy and iHeartRadio dot com.

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Speaker 3: We're going to pause for a word from our sponsors

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Speaker 3: and will return with more strange news. I am so

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Speaker 3: pumped to hear about emotional support animals.

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Speaker 5: And we've returned. It's going to lead off with the

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Speaker 5: with the most fun story of the bunch of my

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Speaker 5: bunch that I brought. Walmart has banned a gentleman in Pennsylvania,

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Speaker 5: of all places, for bringing his emotional support alligator into

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Speaker 5: the store. Apparently he'd done it numerous times previously and

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Speaker 5: had had no issues, but this time, after customer complaints,

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Speaker 5: Wesley Silva, sixty, of West Brownsville, Pennsylvania, was told that

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Speaker 5: he is no longer allowed to come into the store.

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Speaker 5: A Yahoo news piece about this by Denette Wilford had

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Speaker 5: this to say, despite being harnessed and on a leash,

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Speaker 5: also wearing a dress in photos, Silva was ordered by

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Speaker 5: the store to keep the emotional sport alligator named Jinsai

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Speaker 5: Oshi out. We have been going to that Walmart for

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Speaker 5: about three and a half years, he says, and normally

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Speaker 5: the reaction is that's pretty cool or that is awesome

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Speaker 5: that you have a pet alligator. Man, So Silva had

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Speaker 5: to say to WPXI, a local news organization there in

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Speaker 5: Pennsylvan despite their having not been previous complaints, it just

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Speaker 5: takes one and that's fair unidentified shopper to say that

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Speaker 5: they felt their safety was being threatened, especially in the

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Speaker 5: case of children. I don't want to shop with alligators,

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Speaker 5: she said the shopper. I don't plan on shopping there anymore.

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Speaker 5: This is, you know, has the potential to be a

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Speaker 5: bit of a pr nightmare for for the Walmart Corporation family.

436
00:26:26,720 --> 00:26:29,280
Speaker 3: Yes, of course, the question for the court, do we

437
00:26:29,440 --> 00:26:31,280
Speaker 3: have the size of the gator?

438
00:26:33,440 --> 00:26:36,640
Speaker 5: It would take two big beefy arms to hold it aloft.

439
00:26:36,760 --> 00:26:41,639
Speaker 5: Let's just say so medium, I would say. And it

440
00:26:41,680 --> 00:26:44,840
Speaker 5: does appear that this this this gentleman loves to dress

441
00:26:44,960 --> 00:26:50,440
Speaker 5: his gaior jinsai oshi in fancy couture. There's a picture

442
00:26:50,480 --> 00:26:52,960
Speaker 5: of him holding the gator wearing what looks to be

443
00:26:53,640 --> 00:26:56,719
Speaker 5: like a cable knit sweater with a fur lined collar,

444
00:26:57,800 --> 00:27:00,840
Speaker 5: and that's on top of the dress. The fom mentioned address,

445
00:27:01,760 --> 00:27:05,480
Speaker 5: jinsai Oshi, by the way, is one word, but actually

446
00:27:05,520 --> 00:27:07,679
Speaker 5: when I googled it, this might interest you've been It

447
00:27:07,720 --> 00:27:11,159
Speaker 5: apparently is not on its own in that form a

448
00:27:11,280 --> 00:27:16,760
Speaker 5: thing in Japanese, but the words separately Ginsai means life

449
00:27:16,880 --> 00:27:20,000
Speaker 5: and oshi is sort of a fan term to refer

450
00:27:20,119 --> 00:27:23,439
Speaker 5: to like the object of your fandom. You know, or

451
00:27:23,520 --> 00:27:27,119
Speaker 5: your stanness. So I guess if you put it together

452
00:27:27,160 --> 00:27:29,640
Speaker 5: in that way, it could kind of mean the best one,

453
00:27:30,000 --> 00:27:32,080
Speaker 5: you know, like the best one in life.

454
00:27:32,480 --> 00:27:35,000
Speaker 3: And you can tell he really cares about the gator.

455
00:27:34,840 --> 00:27:36,760
Speaker 5: A million percent. And I fully get that. But I

456
00:27:36,800 --> 00:27:39,840
Speaker 5: do think it's interesting and we'll bring this into the

457
00:27:39,880 --> 00:27:44,480
Speaker 5: conversation the laws surrounding emotional support animals and like what

458
00:27:44,680 --> 00:27:48,240
Speaker 5: constitutes an emotional support animal and how that's different from

459
00:27:48,240 --> 00:27:52,240
Speaker 5: a service animal. It's my understanding that they're both protected

460
00:27:52,480 --> 00:27:56,000
Speaker 5: under the Americans with Disabilities Act. I don't think you

461
00:27:56,040 --> 00:27:58,520
Speaker 5: can just say this is my emotional support animal. I

462
00:27:58,560 --> 00:28:03,160
Speaker 5: believe you have to have some paperwork or prescription or something.

463
00:28:03,280 --> 00:28:08,080
Speaker 3: State by state actually, because some airlines have recently banned

464
00:28:08,320 --> 00:28:12,000
Speaker 3: more quote unquote exotic emotional support animals, like you can't

465
00:28:12,080 --> 00:28:14,520
Speaker 3: just have a peacock with you to take it through

466
00:28:14,520 --> 00:28:15,600
Speaker 3: the TSA. Yeah.

467
00:28:15,640 --> 00:28:19,359
Speaker 5: Well, Walmart's website does say, according to the Yahoo piece,

468
00:28:19,600 --> 00:28:23,280
Speaker 5: that only service animals outlined in the Americans with Disabilities Act,

469
00:28:23,320 --> 00:28:27,480
Speaker 5: which includes dogs and miniature horses, apparently are welcome in

470
00:28:27,520 --> 00:28:30,639
Speaker 5: the department store. However, they plan to reach out to

471
00:28:30,680 --> 00:28:34,359
Speaker 5: the state to your point of Pennsylvania for additional guidance.

472
00:28:34,480 --> 00:28:37,800
Speaker 5: So maybe this is one of those precedent setting cases

473
00:28:37,840 --> 00:28:41,280
Speaker 5: that will lead to some more specificity around what constitutes

474
00:28:41,320 --> 00:28:45,200
Speaker 5: an emotional support animal. Apparently the gator spends a lot

475
00:28:45,200 --> 00:28:47,720
Speaker 5: of their time in a pool outside and in a

476
00:28:47,760 --> 00:28:51,320
Speaker 5: bathtub of water at night. So Silva definitely loves this

477
00:28:51,400 --> 00:28:55,160
Speaker 5: creature and has other similar creatures creepy crawleys in his

478
00:28:55,200 --> 00:28:59,880
Speaker 5: menagerie reptiles, including six snakes, a leopard gecko, a komodo dragon,

479
00:29:00,080 --> 00:29:02,720
Speaker 5: and an additional alligator plus a dog. So you do

480
00:29:02,800 --> 00:29:04,600
Speaker 5: kind of have to wonder why the dog didn't get

481
00:29:04,600 --> 00:29:06,360
Speaker 5: the emotional support designation.

482
00:29:06,560 --> 00:29:13,960
Speaker 3: And it's a callous dog obviously. Matt, can you do

483
00:29:14,040 --> 00:29:17,440
Speaker 3: the final word for Pennsylvania on this? What should Pennsylvania do? Man?

484
00:29:17,680 --> 00:29:19,720
Speaker 2: Well, I don't know about Pennsylvania. I just know when

485
00:29:19,760 --> 00:29:23,280
Speaker 2: you look at somebody's face sometimes you can tell that

486
00:29:23,360 --> 00:29:26,440
Speaker 2: you're gonna like that person. That person seems really cool.

487
00:29:26,560 --> 00:29:27,920
Speaker 5: It's something about friendly.

488
00:29:28,360 --> 00:29:31,520
Speaker 2: The way his eyes open and the way his smile

489
00:29:31,880 --> 00:29:37,040
Speaker 2: is you can just see I like, and whatever his

490
00:29:37,120 --> 00:29:40,320
Speaker 2: alligator is doing, I'm for it, and I think Pennsylvania

491
00:29:40,360 --> 00:29:41,000
Speaker 2: should be for it.

492
00:29:41,560 --> 00:29:44,080
Speaker 3: Oh all right, I like that. I like that, And

493
00:29:44,880 --> 00:29:46,800
Speaker 3: pardon the hubris. For a second, I thought you were

494
00:29:46,840 --> 00:29:49,840
Speaker 3: talking about Noel Dillet and myself. But oh you.

495
00:29:49,760 --> 00:29:52,520
Speaker 2: Guys do sure, sure, but we got to twinkle.

496
00:29:52,680 --> 00:29:53,479
Speaker 5: We got to twinkle.

497
00:29:55,600 --> 00:29:58,920
Speaker 2: It's specifically on the NBC News article. It's just looking

498
00:29:58,960 --> 00:30:02,560
Speaker 2: at his face in the sweaters.

499
00:30:03,520 --> 00:30:04,040
Speaker 5: Yeah, he does.

500
00:30:04,280 --> 00:30:10,200
Speaker 3: He's happy. He's clearly not planning some kind of alligator

501
00:30:10,400 --> 00:30:14,840
Speaker 3: related violence or heist. He just wants everybody to see

502
00:30:14,840 --> 00:30:16,719
Speaker 3: how much he loves his little buddy.

503
00:30:16,840 --> 00:30:18,760
Speaker 5: Sure, and I just wanted to read off a couple

504
00:30:18,800 --> 00:30:22,880
Speaker 5: of tweets. No, actually, these are threads under the heading

505
00:30:23,120 --> 00:30:26,600
Speaker 5: justice for Jinsie Ohshi. People are getting too carried away

506
00:30:26,600 --> 00:30:29,640
Speaker 5: with these emotional support animals. I hate alligators. They are

507
00:30:29,720 --> 00:30:33,160
Speaker 5: vicious creatures. Okay, a little harsh. The most surprising part

508
00:30:33,560 --> 00:30:37,640
Speaker 5: is that this was not in Florida. Let's see emotional support,

509
00:30:37,680 --> 00:30:41,880
Speaker 5: my butt. He will get even more emotional when this

510
00:30:41,960 --> 00:30:44,280
Speaker 5: thing bites his hand off. I do not blame the store.

511
00:30:44,320 --> 00:30:46,080
Speaker 5: I would have banned this thing from entering the store

512
00:30:46,720 --> 00:30:48,720
Speaker 5: as well. I had my own store. Suppose a kid

513
00:30:48,720 --> 00:30:51,120
Speaker 5: walks in, touches the alligator and then gets threatened and

514
00:30:51,160 --> 00:30:54,680
Speaker 5: bites the child this is these are all very reasonable things.

515
00:30:54,960 --> 00:30:58,040
Speaker 5: I don't know that you can fully domesticate an alligator,

516
00:30:58,160 --> 00:31:00,800
Speaker 5: and the fact that the power of those jaws, But

517
00:31:00,840 --> 00:31:05,160
Speaker 5: then dogs have just as powerful jaws and sharp teeth.

518
00:31:05,400 --> 00:31:07,959
Speaker 3: Yeah, but dogs are domesticated. You could tame an in

519
00:31:08,080 --> 00:31:12,040
Speaker 3: stridual gator. Right. And it's funny because you know, we've

520
00:31:12,080 --> 00:31:15,720
Speaker 3: been going through a phase of human animal interaction for

521
00:31:15,720 --> 00:31:17,480
Speaker 3: a while. Oh, I forgot to tell you guys. It

522
00:31:17,480 --> 00:31:19,760
Speaker 3: turns out, by the way, that some whales are trying

523
00:31:19,800 --> 00:31:23,320
Speaker 3: to use air bubbles to communicate with humans, and orcas

524
00:31:23,320 --> 00:31:25,280
Speaker 3: are bringing human streets and no one knows why.

525
00:31:25,520 --> 00:31:27,400
Speaker 5: Sick sort of like the way my cat leaves me

526
00:31:27,520 --> 00:31:31,000
Speaker 5: like a desiccated mouse, exactly like that.

527
00:31:31,160 --> 00:31:34,360
Speaker 3: For some reason. And with that in mind, taking back

528
00:31:34,400 --> 00:31:38,400
Speaker 3: to gators, you know what's fascinating here is that the

529
00:31:38,520 --> 00:31:43,760
Speaker 3: reptilian brain is so different right to the human brains

530
00:31:44,000 --> 00:31:48,240
Speaker 3: as currently understood by science. So an alligator or crocodile

531
00:31:48,800 --> 00:31:54,480
Speaker 3: can be acclimated to human presence right right. Not quite

532
00:31:54,520 --> 00:31:58,600
Speaker 3: the same thing as doctor Vankman wanting to hop in

533
00:31:58,640 --> 00:32:01,640
Speaker 3: my lap, or met wanting to play with Matt or

534
00:32:01,640 --> 00:32:06,880
Speaker 3: Apollo wanting to get the zoomies, but alligate I would

535
00:32:06,960 --> 00:32:11,360
Speaker 3: pause it that alligators are one of the non human

536
00:32:11,440 --> 00:32:14,480
Speaker 3: animals that you can learn to live with.

537
00:32:14,800 --> 00:32:16,560
Speaker 5: I think that's probably true. And the one last point

538
00:32:16,600 --> 00:32:21,200
Speaker 5: I read from the Threads thread, if every animal is accepted,

539
00:32:21,240 --> 00:32:23,480
Speaker 5: then you will see people walking around with elephants and

540
00:32:23,600 --> 00:32:25,880
Speaker 5: lions inside Walmart. I do think it is a bit

541
00:32:25,880 --> 00:32:28,400
Speaker 5: of a slippery slope argument, and maybe the point here

542
00:32:28,440 --> 00:32:31,160
Speaker 5: is that there should be some clarification around size and

543
00:32:31,600 --> 00:32:35,320
Speaker 5: domestic catability stats for some of these types of animals.

544
00:32:36,160 --> 00:32:38,120
Speaker 5: So interesting, but it does appear though that there are

545
00:32:38,240 --> 00:32:42,560
Speaker 5: a list of sort of pre approved animals on the

546
00:32:42,400 --> 00:32:46,360
Speaker 5: in the act the people with disabilities. And last thing,

547
00:32:46,440 --> 00:32:49,719
Speaker 5: someone here on Threads added target and said, here's your

548
00:32:49,800 --> 00:32:54,720
Speaker 5: chance to step up. There we go. So you love

549
00:32:54,760 --> 00:32:57,960
Speaker 5: to see that real quick. A couple of additional ones.

550
00:32:58,000 --> 00:33:01,000
Speaker 5: We've got four folks arrested in the UK for projecting

551
00:33:01,080 --> 00:33:04,840
Speaker 5: Trump Epstein images on Windsor Castle I saw of the

552
00:33:04,880 --> 00:33:10,760
Speaker 5: President's visit. In addition, nearby another group displayed a massive

553
00:33:11,240 --> 00:33:16,479
Speaker 5: crowd sourced tapestry showing the President and his buddy Jeffrey

554
00:33:16,480 --> 00:33:20,760
Speaker 5: Epstein that could be seen from Air Force One near

555
00:33:20,880 --> 00:33:21,719
Speaker 5: Windsor Castle.

556
00:33:21,960 --> 00:33:23,960
Speaker 2: Are they actual images or is it like.

557
00:33:24,000 --> 00:33:26,360
Speaker 3: Yeah, they're really high fidelity.

558
00:33:26,000 --> 00:33:30,320
Speaker 5: High fidelity images the video in question. Actually I hadn't

559
00:33:30,480 --> 00:33:34,440
Speaker 5: seen this part of the image, but man, Jeffrey and

560
00:33:34,600 --> 00:33:36,800
Speaker 5: Trump are boogie and down together.

561
00:33:36,920 --> 00:33:38,240
Speaker 3: They're like doing the twist.

562
00:33:38,360 --> 00:33:40,480
Speaker 5: There is some kind of party and they're just really

563
00:33:40,920 --> 00:33:44,080
Speaker 5: having a grand old time. Reading from Forbes in a

564
00:33:44,120 --> 00:33:49,560
Speaker 5: piece by Siladitya Ray, the British political activist group Led

565
00:33:49,560 --> 00:33:52,239
Speaker 5: by Donkeys. That's the name of the group Led by

566
00:33:52,240 --> 00:33:55,080
Speaker 5: Donkeys appeared to take credit as they shared a photo

567
00:33:55,160 --> 00:33:57,600
Speaker 5: of the projection on the walls of the British Monarch's

568
00:33:57,640 --> 00:34:00,400
Speaker 5: royal residence on Instagram, followed by the caption Hey Donald,

569
00:34:00,400 --> 00:34:03,800
Speaker 5: Welcome to Windsor Castle. The projection showed old videos of

570
00:34:03,800 --> 00:34:07,360
Speaker 5: Trump's interactions with Epstein and photos of an alleged inscription

571
00:34:07,480 --> 00:34:09,600
Speaker 5: signed by the President which read to jeff you are

572
00:34:09,640 --> 00:34:13,560
Speaker 5: the Greatest. In an official statement, Thames Valley Police said

573
00:34:13,600 --> 00:34:16,200
Speaker 5: four people were arrested on suspicion of I love this

574
00:34:16,320 --> 00:34:21,760
Speaker 5: and I want to unpack this guys malicious communications following

575
00:34:21,760 --> 00:34:24,120
Speaker 5: a public stunt in Windsor, and all four were kept

576
00:34:24,160 --> 00:34:26,239
Speaker 5: in custody. Do not feel like they have enough to

577
00:34:26,360 --> 00:34:30,640
Speaker 5: prosecute these people. It is a projection, right, They didn't

578
00:34:30,640 --> 00:34:34,960
Speaker 5: deface anything, and this idea, what's malicious about it? I

579
00:34:34,960 --> 00:34:38,640
Speaker 5: guess it's really touchy being that it's the royal residence

580
00:34:38,840 --> 00:34:42,799
Speaker 5: and that any activity surrounding it, approaching it, what have you,

581
00:34:43,040 --> 00:34:46,120
Speaker 5: would be taken seriously. That's the case here actually, according

582
00:34:46,120 --> 00:34:49,520
Speaker 5: to Chief Superintendent Felicity Parker, who said, we take any

583
00:34:49,560 --> 00:34:53,960
Speaker 5: unauthorized activity around Windsor Castle extremely seriously. Our officers responded

584
00:34:54,000 --> 00:34:58,279
Speaker 5: swiftly to stop the projection. However, like you know, these

585
00:34:58,680 --> 00:35:01,759
Speaker 5: are real images. This stuff happened, you know, Yeah, it's

586
00:35:01,800 --> 00:35:03,080
Speaker 5: not deep fake stuff.

587
00:35:03,120 --> 00:35:07,040
Speaker 3: It's not AI. It's also I mean, the laws around

588
00:35:07,640 --> 00:35:12,040
Speaker 3: libel and defamation in the UK for now are a

589
00:35:12,040 --> 00:35:15,960
Speaker 3: lot tighter than they are here in the States. But

590
00:35:16,080 --> 00:35:21,719
Speaker 3: to your point, Nol, I doubt that. It feels more

591
00:35:21,840 --> 00:35:24,720
Speaker 3: like they're just trying to make an example and arrest

592
00:35:24,800 --> 00:35:30,160
Speaker 3: people more so than carrying through actual convictions in the court.

593
00:35:30,360 --> 00:35:32,440
Speaker 5: Yeah, to show that they're on board with, you know,

594
00:35:32,960 --> 00:35:38,239
Speaker 5: helping out trying to polish Trump's image. Earlier on Tuesday,

595
00:35:38,719 --> 00:35:41,360
Speaker 5: they say in the Forbes peace protesters an unfurled a

596
00:35:41,400 --> 00:35:43,200
Speaker 5: large banner of a photo of Trump and Epstein in

597
00:35:43,200 --> 00:35:45,879
Speaker 5: an area outside Windsor Castle to protest the president's visit.

598
00:35:46,040 --> 00:35:48,440
Speaker 3: A separate activist group not led by donkeys.

599
00:35:48,440 --> 00:35:51,360
Speaker 5: This one's called Everyone Hates Elon, which usually goes after

600
00:35:51,520 --> 00:35:53,960
Speaker 5: you guessed that the billionaire Elon Musk took credit for

601
00:35:54,000 --> 00:35:56,640
Speaker 5: the banner in an Instagram post saying the British public

602
00:35:56,719 --> 00:35:59,960
Speaker 5: welcomed him with this gigantic banner right outside Windsor, Ca

603
00:36:00,000 --> 00:36:02,040
Speaker 5: ca Asho where he's staying with the King this week,

604
00:36:03,360 --> 00:36:05,719
Speaker 5: to the point of it being crowdsourced. Seventeen hundred and

605
00:36:05,719 --> 00:36:08,200
Speaker 5: seventy people paid for it, which couldn't have been cheap.

606
00:36:08,239 --> 00:36:08,920
Speaker 3: It's massive.

607
00:36:09,600 --> 00:36:12,520
Speaker 5: And this post referred to this visit as being about

608
00:36:12,560 --> 00:36:16,960
Speaker 5: polishing Trump's image and then sarcastically urged followers to not

609
00:36:17,080 --> 00:36:20,160
Speaker 5: share the image. Thank you for cooperating at this difficult

610
00:36:20,200 --> 00:36:25,319
Speaker 5: time for the president. Did the slicious communications?

611
00:36:25,880 --> 00:36:26,280
Speaker 3: Yeah?

612
00:36:26,520 --> 00:36:30,240
Speaker 2: Did they include images of Prince Andrew on there? Considering

613
00:36:30,280 --> 00:36:31,839
Speaker 2: don't believe so, don't believe so.

614
00:36:32,000 --> 00:36:34,480
Speaker 5: That's a very interesting point, Matt, because of the libel

615
00:36:34,520 --> 00:36:36,719
Speaker 5: laws in the UK, maybe that was a more hot

616
00:36:36,760 --> 00:36:38,520
Speaker 5: button thing than they wanted to touch.

617
00:36:39,800 --> 00:36:39,840
Speaker 3: It.

618
00:36:39,960 --> 00:36:44,400
Speaker 5: Was specifically Trump and Epstein cutting a rug together.

619
00:36:45,080 --> 00:36:45,360
Speaker 3: Wow.

620
00:36:47,000 --> 00:36:48,960
Speaker 5: Interesting, What do you guys think about this concert? Is

621
00:36:48,960 --> 00:36:51,600
Speaker 5: this a British thing? Malicious communication? I guess I haven't

622
00:36:51,640 --> 00:36:53,400
Speaker 5: heard that thrown around here in the States.

623
00:36:55,080 --> 00:36:59,440
Speaker 3: It's an interesting phrase, yeah, if we are, because you're

624
00:36:59,480 --> 00:37:01,000
Speaker 3: not going to hear or that too much in the

625
00:37:01,080 --> 00:37:07,200
Speaker 3: United States. It's more the idea of communicating or conspiring

626
00:37:07,280 --> 00:37:10,560
Speaker 3: to commit a crime. That kind of communication would be

627
00:37:11,640 --> 00:37:15,160
Speaker 3: not protected under the you know, under the First Amendment.

628
00:37:15,320 --> 00:37:18,600
Speaker 3: You can't say, for instance, hey we should get together

629
00:37:18,920 --> 00:37:23,759
Speaker 3: and kill a fellow podcaster. Who would we go after Jonathan? Right?

630
00:37:24,000 --> 00:37:24,120
Speaker 4: Well?

631
00:37:24,200 --> 00:37:27,000
Speaker 5: Yeah, just for for for the sake of of of example,

632
00:37:27,120 --> 00:37:32,359
Speaker 5: why not? Guys? It is an incredibly UK statute. I'm

633
00:37:32,400 --> 00:37:34,600
Speaker 5: looking at the act was the Act the Community, the

634
00:37:34,640 --> 00:37:37,200
Speaker 5: Malicious Communications Act of nineteen eighty eight, and I would

635
00:37:37,280 --> 00:37:39,080
Speaker 5: argue that the way it's laid out, this does not

636
00:37:39,200 --> 00:37:40,600
Speaker 5: fall under it.

637
00:37:40,600 --> 00:37:42,000
Speaker 3: It's cyber harassment.

638
00:37:42,120 --> 00:37:46,520
Speaker 5: Well, okay, intent to cause distress or anxiety. Okay, could

639
00:37:46,640 --> 00:37:49,400
Speaker 5: argue seeing this, but that, come on, man, are we

640
00:37:49,560 --> 00:37:54,080
Speaker 5: that weak willed that we that's speech is often intended

641
00:37:54,080 --> 00:37:57,200
Speaker 5: to cause distress and anxiety. I mean, whether that's its

642
00:37:57,239 --> 00:38:00,920
Speaker 5: whether that's its exclusive purpose or not. Something like this

643
00:38:01,080 --> 00:38:03,040
Speaker 5: is something that president would love it if people never

644
00:38:03,120 --> 00:38:05,400
Speaker 5: brought up again. And I'm sure it's stressful whenever he

645
00:38:05,480 --> 00:38:07,400
Speaker 5: sees it, but that doesn't mean it didn't happen, and

646
00:38:07,400 --> 00:38:11,600
Speaker 5: that doesn't mean it's not relevant in this discussion of

647
00:38:11,640 --> 00:38:12,760
Speaker 5: releasing these files.

648
00:38:13,040 --> 00:38:17,560
Speaker 3: It's also so conveniently vague by design, you know, because

649
00:38:17,600 --> 00:38:20,840
Speaker 3: that anxiety is probably self reported and malicious.

650
00:38:21,440 --> 00:38:24,279
Speaker 5: Yeah, this is suffering is pretty vague as well, and

651
00:38:24,280 --> 00:38:24,720
Speaker 5: in law.

652
00:38:24,640 --> 00:38:29,840
Speaker 3: Suits this is built to This is built as a

653
00:38:29,960 --> 00:38:33,280
Speaker 3: vehicle to crack down on free speech trusure.

654
00:38:33,280 --> 00:38:37,080
Speaker 5: Read from it to your pointbend it includes sending threats

655
00:38:37,239 --> 00:38:41,239
Speaker 5: makes sense, offensive content, okay, inappropriate images seems like that's

656
00:38:41,280 --> 00:38:45,080
Speaker 5: covered with defensive content or false information. Also get that

657
00:38:45,080 --> 00:38:47,480
Speaker 5: that would fall under slander and libel laws, which are

658
00:38:47,600 --> 00:38:50,160
Speaker 5: to your point, bent tighter over there, and can be

659
00:38:50,320 --> 00:38:53,839
Speaker 5: a criminal offense under laws like the UK's Malicious Communications

660
00:38:53,840 --> 00:38:57,000
Speaker 5: Act to report such an offense. Oh, there's also an

661
00:38:57,000 --> 00:38:59,719
Speaker 5: additional act that might be related, the Online Safety Act

662
00:38:59,760 --> 00:39:04,520
Speaker 5: of only twenty three. But yeah, it does refer to texts, emails,

663
00:39:04,600 --> 00:39:07,239
Speaker 5: or posts sent with the intent to cause distress or

664
00:39:07,239 --> 00:39:11,520
Speaker 5: anxiety to the recipients or others. One could argue the

665
00:39:11,560 --> 00:39:15,239
Speaker 5: internet comments of any kind could be considered this thing.

666
00:39:15,960 --> 00:39:19,520
Speaker 3: But this was a projection projection, right, so it's not

667
00:39:19,640 --> 00:39:22,440
Speaker 3: leaving a physical imprint. That's a building.

668
00:39:22,520 --> 00:39:24,120
Speaker 2: It's also not online.

669
00:39:25,560 --> 00:39:29,360
Speaker 3: It's very interesting. I Highlake Sphere communication. I think I

670
00:39:29,440 --> 00:39:29,960
Speaker 3: would do it.

671
00:39:30,080 --> 00:39:31,960
Speaker 5: Why we probably would all argue that they don't have

672
00:39:32,040 --> 00:39:33,799
Speaker 5: much of the leg to stand on. And to your point, Ben,

673
00:39:33,880 --> 00:39:37,200
Speaker 5: this is more of a symbolic act of solidarity during

674
00:39:37,239 --> 00:39:41,080
Speaker 5: the president's visit than it is any kind of thing

675
00:39:41,160 --> 00:39:41,760
Speaker 5: that will stick.

676
00:39:42,440 --> 00:39:46,800
Speaker 3: Oh yeah, and that reminds me. I almost texted you guys.

677
00:39:48,080 --> 00:39:50,360
Speaker 3: Woody Allen, by the way, went on record and he

678
00:39:50,400 --> 00:39:51,920
Speaker 3: said he had a great time with Epstein.

679
00:39:52,840 --> 00:39:56,440
Speaker 5: Was it on that podcast? He was on Bill Maher's

680
00:39:56,440 --> 00:40:00,319
Speaker 5: podcast recently and apparently said some stuff thing.

681
00:40:00,640 --> 00:40:04,680
Speaker 3: He said he got invited to dinners and they had

682
00:40:04,680 --> 00:40:06,560
Speaker 3: a great time hanging out at the dinners. It was

683
00:40:06,600 --> 00:40:09,319
Speaker 3: like an old school salon. One night would be comedians,

684
00:40:09,360 --> 00:40:11,359
Speaker 3: one night would be magicians.

685
00:40:10,840 --> 00:40:12,080
Speaker 5: One night would be a sex party.

686
00:40:12,960 --> 00:40:15,400
Speaker 3: You know, he didn't get into that part, but magician

687
00:40:15,520 --> 00:40:18,600
Speaker 3: sex party perhaps, I don't you know what, I don't

688
00:40:18,600 --> 00:40:22,120
Speaker 3: even like stage magicians. That's my one great prejudice, and

689
00:40:22,360 --> 00:40:24,360
Speaker 3: I am kind of on board with seeing what a

690
00:40:24,400 --> 00:40:25,960
Speaker 3: magician sex party would look like.

691
00:40:26,040 --> 00:40:29,160
Speaker 5: Yeah, I'm a huge magician nerd. I love it well,

692
00:40:29,280 --> 00:40:31,080
Speaker 5: you guys really quickly. I just wanted to mention one

693
00:40:31,120 --> 00:40:33,239
Speaker 5: last thing. This may be something to look into or

694
00:40:33,360 --> 00:40:37,080
Speaker 5: piggyback into another episode, because it's something that's very relevant

695
00:40:37,120 --> 00:40:40,239
Speaker 5: right now. Chinese dissident who led pro democracy group in

696
00:40:40,280 --> 00:40:44,200
Speaker 5: New York City pleads guilty to spying for Beijing. A

697
00:40:44,239 --> 00:40:47,640
Speaker 5: member of New York City's Chinese dissident community pleaded guilty

698
00:40:47,680 --> 00:40:50,400
Speaker 5: to acting as an agent of the Chinese Communist Party.

699
00:40:51,360 --> 00:40:55,239
Speaker 5: This individual's name is Yong Jun Tang, sixty eight years old,

700
00:40:55,719 --> 00:40:59,839
Speaker 5: long and outspoken critic of the Chinese Communist Party, participating

701
00:40:59,840 --> 00:41:05,880
Speaker 5: in protests around Manhattan, the consulate in particular, and founding

702
00:41:05,960 --> 00:41:09,160
Speaker 5: a pro democracy nonprofit in Flesh and Queens, where he's

703
00:41:09,160 --> 00:41:11,720
Speaker 5: lived since two thousand and two. But just all along

704
00:41:11,760 --> 00:41:13,960
Speaker 5: as he was acting as a voice of dissent against

705
00:41:13,960 --> 00:41:18,520
Speaker 5: his homelands government. ABC News reports Jake autenhearts of the

706
00:41:18,520 --> 00:41:19,239
Speaker 5: Associated Press.

707
00:41:19,360 --> 00:41:21,240
Speaker 3: Rather, that's just a reprint from.

708
00:41:21,080 --> 00:41:26,760
Speaker 5: ABC that he was in fact reporting back activities, reporting

709
00:41:26,760 --> 00:41:31,640
Speaker 5: on fellow Chinese American activists, naming names, etc. So federal

710
00:41:31,680 --> 00:41:35,640
Speaker 5: prosecutors brought charges against Tang last August. They believe that

711
00:41:35,719 --> 00:41:38,279
Speaker 5: he accepted the tasks in order to gain approval to

712
00:41:38,400 --> 00:41:43,279
Speaker 5: visit family members in China. Tang's betrayal, they said, of

713
00:41:43,480 --> 00:41:45,960
Speaker 5: the ideals of the US to help the Chinese government

714
00:41:46,080 --> 00:41:49,600
Speaker 5: repress pro democracy activists goes against the very values he

715
00:41:49,680 --> 00:41:53,680
Speaker 5: claimed to promote. This is rather from FBI Assistant Director

716
00:41:53,719 --> 00:41:57,880
Speaker 5: in charge Christopher g. Raya, who said this in a statement.

717
00:41:58,000 --> 00:42:02,200
Speaker 5: So we're talking a lot about spying, and you know,

718
00:42:02,600 --> 00:42:07,120
Speaker 5: Chinese infiltration and China becoming such a massive superpower, outpacing,

719
00:42:07,480 --> 00:42:10,520
Speaker 5: out ranking, out maneuvering the US in a lot of ways,

720
00:42:11,200 --> 00:42:14,400
Speaker 5: with you know, aid from some of these types of folks.

721
00:42:15,040 --> 00:42:18,040
Speaker 5: He was granted asylum in fact, back in two after

722
00:42:18,200 --> 00:42:21,480
Speaker 5: escaping to Taiwan from a Chinese prison where he was

723
00:42:21,520 --> 00:42:24,319
Speaker 5: held for twelve years for his involvement in student led

724
00:42:24,320 --> 00:42:28,160
Speaker 5: protests in Tianamen Square. So he comes by his activism honestly.

725
00:42:28,840 --> 00:42:31,120
Speaker 5: So you got to wonder how they turned him m

726
00:42:33,440 --> 00:42:36,520
Speaker 5: because that would be a big risk to be a

727
00:42:36,600 --> 00:42:40,399
Speaker 5: protester against the Chinese government in China during those times,

728
00:42:40,440 --> 00:42:43,520
Speaker 5: in particular where we know they were not messing around.

729
00:42:44,719 --> 00:42:50,040
Speaker 2: Yeah, scary stuff, man, It makes you wonder what happened, right,

730
00:42:51,080 --> 00:42:51,680
Speaker 2: it really does.

731
00:42:52,239 --> 00:42:54,239
Speaker 5: So we'll leave it there. The last thing just to

732
00:42:54,280 --> 00:42:57,000
Speaker 5: mention that there is a plane crash where pounds and

733
00:42:57,040 --> 00:43:01,520
Speaker 5: pounds or kilos of cocaine bricks were discovered that were

734
00:43:01,800 --> 00:43:05,720
Speaker 5: branded with the official SpaceX logo. And when I say official,

735
00:43:05,760 --> 00:43:07,759
Speaker 5: ied just mean the graphic. It's not like it was

736
00:43:08,400 --> 00:43:12,120
Speaker 5: SpaceX officially sanctioned cocaine. It would more likely be ketamine

737
00:43:12,120 --> 00:43:12,440
Speaker 5: if that.

738
00:43:12,440 --> 00:43:14,239
Speaker 3: Was the case. Har hor horror.

739
00:43:14,880 --> 00:43:17,279
Speaker 5: But Matt, you sent me that one, and it just

740
00:43:17,480 --> 00:43:19,239
Speaker 5: it got us talking off air a little bit about

741
00:43:19,280 --> 00:43:22,080
Speaker 5: how like in the nineties and two thousands, especially this

742
00:43:22,239 --> 00:43:25,920
Speaker 5: idea of like associating a street drug with a big

743
00:43:25,960 --> 00:43:30,000
Speaker 5: brand like Mitsubishi or whatever BMW in the form of

744
00:43:30,040 --> 00:43:32,759
Speaker 5: these little ecstasy pills that were pressed back in the day.

745
00:43:33,239 --> 00:43:35,319
Speaker 5: This kind of harkened back to that a little bit.

746
00:43:35,920 --> 00:43:38,640
Speaker 5: So nothing much more to it than that certainly wasn't

747
00:43:39,280 --> 00:43:43,560
Speaker 5: actually SpaceX branded. Police puzzled by one hundred and eighty

748
00:43:43,640 --> 00:43:47,160
Speaker 5: kilos of SpaceX branded cocaine found at crash site like

749
00:43:47,200 --> 00:43:50,960
Speaker 5: a starship test flight. It went down, says the article

750
00:43:50,960 --> 00:43:53,520
Speaker 5: from Futurism. A single engine playing crash landed in a

751
00:43:53,520 --> 00:43:56,239
Speaker 5: field of sugarcane in Brazil over the weekend, according to

752
00:43:56,280 --> 00:43:58,799
Speaker 5: local news media, killing the pilot and leaving behind one

753
00:43:58,840 --> 00:44:02,160
Speaker 5: hundred and eighty kilogram or almost four hundred pounds of cocaine,

754
00:44:02,160 --> 00:44:07,600
Speaker 5: probably valued in the half a million dollar range. Wow,

755
00:44:08,280 --> 00:44:10,560
Speaker 5: that's it for me, y'all. Let's take a quick break

756
00:44:10,680 --> 00:44:12,480
Speaker 5: here away from our sponsor, and then we'll come back

757
00:44:12,480 --> 00:44:20,440
Speaker 5: with our last strange news segment of the episode.

758
00:44:21,120 --> 00:44:25,880
Speaker 2: And we are back. Guys, branding your illicit illegal drugs

759
00:44:25,920 --> 00:44:28,120
Speaker 2: like that in that way feels like you would just

760
00:44:28,160 --> 00:44:29,160
Speaker 2: get more eyes on you.

761
00:44:30,400 --> 00:44:32,719
Speaker 5: Am I wrong? Well, but then pointed out too, it

762
00:44:32,800 --> 00:44:36,240
Speaker 5: is like, what is it the blue meth in breaking bad?

763
00:44:36,680 --> 00:44:39,640
Speaker 5: You know, it's this idea of differentiating your product from others,

764
00:44:39,680 --> 00:44:41,640
Speaker 5: and of course the blue myth is what put a

765
00:44:41,680 --> 00:44:45,920
Speaker 5: target on whomever was putting that supply out into the

766
00:44:45,920 --> 00:44:49,239
Speaker 5: the drug world, you know. So that is a good point, Matt,

767
00:44:49,280 --> 00:44:50,920
Speaker 5: But Ben, what do you think is it worth the

768
00:44:51,040 --> 00:44:54,440
Speaker 5: risk of that perhaps to differentiate your product out in

769
00:44:54,480 --> 00:44:54,960
Speaker 5: the market.

770
00:44:55,560 --> 00:44:56,879
Speaker 3: Of course, you want differentiation.

771
00:44:57,239 --> 00:44:59,279
Speaker 2: Well, yeah, of course you do. But I feel like

772
00:44:59,360 --> 00:45:02,319
Speaker 2: you get way more eyes on you if an investigator

773
00:45:02,360 --> 00:45:06,840
Speaker 2: can track down a specific brand or lot.

774
00:45:06,880 --> 00:45:11,640
Speaker 3: That's the Faucian bargain, right It Also, I hate to

775
00:45:11,680 --> 00:45:15,720
Speaker 3: say it, I you know, I exercise empathy for all things,

776
00:45:15,800 --> 00:45:20,600
Speaker 3: but branding illicit substances in this way, Do I get

777
00:45:20,600 --> 00:45:27,120
Speaker 3: the logic? Sometimes the branding choices they take are indicative

778
00:45:27,200 --> 00:45:29,080
Speaker 3: of maybe not being in the best mental state.

779
00:45:29,440 --> 00:45:32,160
Speaker 2: M fair, Yep, that checks out.

780
00:45:32,239 --> 00:45:34,640
Speaker 5: I guess the implication here on the cocaine being that

781
00:45:34,719 --> 00:45:37,359
Speaker 5: our product will zoom you into outer space.

782
00:45:38,960 --> 00:45:41,239
Speaker 3: And somebody on cocaine was like, you know what we

783
00:45:41,280 --> 00:45:44,160
Speaker 3: should do that not just space, we should do space

784
00:45:44,520 --> 00:45:45,480
Speaker 3: x guys.

785
00:45:46,000 --> 00:45:50,960
Speaker 2: Guys speaking of those kinds of thoughts, in those kinds

786
00:45:51,040 --> 00:45:55,800
Speaker 2: of moments and having eyes on, let's jump to somebody

787
00:45:55,880 --> 00:45:58,040
Speaker 2: we should all have our eyes on and our ears

788
00:45:58,080 --> 00:46:01,919
Speaker 2: open to. Because it's some of the coolest, best potential

789
00:46:02,080 --> 00:46:05,080
Speaker 2: news that has come out in a long time coming

790
00:46:05,080 --> 00:46:10,360
Speaker 2: out of New Mexico. When Governor Michelle Grisham announced around

791
00:46:10,400 --> 00:46:13,239
Speaker 2: the time of September eleventh that she and the State

792
00:46:13,280 --> 00:46:17,239
Speaker 2: of New Mexico are going to offer free childcare universally

793
00:46:17,640 --> 00:46:20,960
Speaker 2: to all families of all income levels in the state.

794
00:46:22,120 --> 00:46:26,560
Speaker 2: How incredible is that as a potential idea? Right sitting

795
00:46:26,560 --> 00:46:29,040
Speaker 2: around in blue skying and going, oh man, what could

796
00:46:29,080 --> 00:46:31,080
Speaker 2: we do that would be really great for people? Well,

797
00:46:31,120 --> 00:46:33,680
Speaker 2: we could save people like thousands of dollars a year

798
00:46:33,880 --> 00:46:35,759
Speaker 2: if we figured out a way for the state to

799
00:46:35,800 --> 00:46:36,799
Speaker 2: pay for childcare.

800
00:46:37,200 --> 00:46:37,359
Speaker 3: Hm.

801
00:46:38,160 --> 00:46:39,560
Speaker 2: And they they're doing it.

802
00:46:40,080 --> 00:46:42,440
Speaker 3: That's awesome. Yeah, I was. Let's say, you know, the

803
00:46:42,760 --> 00:46:45,839
Speaker 3: first reaction from the cynical in the United States will

804
00:46:45,840 --> 00:46:52,160
Speaker 3: probably be oh, you mean, like every other developed country, Sure, sure, and.

805
00:46:52,400 --> 00:46:54,360
Speaker 2: We can you can hold that right and that feeling

806
00:46:54,360 --> 00:46:56,680
Speaker 2: And I get that feeling because I feel it very hard.

807
00:46:57,080 --> 00:46:59,759
Speaker 2: But if you can, if we can turn it right

808
00:47:00,400 --> 00:47:03,560
Speaker 2: temperate a little bit to oh, well, somebody is doing it,

809
00:47:03,760 --> 00:47:06,080
Speaker 2: so that means maybe the rest of us could.

810
00:47:06,160 --> 00:47:08,760
Speaker 5: Isn't there an argument too, at least with the early

811
00:47:08,920 --> 00:47:12,399
Speaker 5: discussions around this, that it could be a potential economic boon.

812
00:47:13,160 --> 00:47:16,560
Speaker 4: Yes, yeah, because of support, because of people able to

813
00:47:17,520 --> 00:47:20,440
Speaker 4: work more efficiently and not be stressed all the time.

814
00:47:20,640 --> 00:47:24,280
Speaker 4: And right it enables investment because it frees up everybody

815
00:47:24,320 --> 00:47:30,359
Speaker 4: knows childcare can be so incredibly expensive, right, it can

816
00:47:30,400 --> 00:47:33,960
Speaker 4: be a second mortgage. The rat race begins early for

817
00:47:34,120 --> 00:47:38,600
Speaker 4: particular schools, right and placement. So yeah, this is this

818
00:47:38,680 --> 00:47:42,800
Speaker 4: is an investment in the future that, if implemented correctly,

819
00:47:43,520 --> 00:47:49,640
Speaker 4: has has a wonderful objective inarguable financial boon for the state.

820
00:47:49,920 --> 00:47:53,600
Speaker 2: Absolutely, and they did it without having to charge people

821
00:47:53,600 --> 00:47:56,239
Speaker 2: who live in the state extra taxes or anything. They

822
00:47:56,280 --> 00:48:00,000
Speaker 2: literally took surplus oil money put it into a giant

823
00:48:00,200 --> 00:48:03,480
Speaker 2: trust which is nearing ten billion dollars right.

824
00:48:03,320 --> 00:48:04,960
Speaker 3: Now in Norway style.

825
00:48:05,360 --> 00:48:08,400
Speaker 2: Yes, and they're using that money that continues to grow

826
00:48:08,520 --> 00:48:11,520
Speaker 2: because it's it's an investment. We'll continue until the bottom

827
00:48:11,520 --> 00:48:14,759
Speaker 2: falls out of everything, but it will continue to grow

828
00:48:14,840 --> 00:48:18,040
Speaker 2: as things are doing well and people won't have to

829
00:48:18,080 --> 00:48:21,799
Speaker 2: pay that extra money. It's it's it makes me so happy.

830
00:48:21,520 --> 00:48:24,200
Speaker 5: Doesn't it also make you so angry though, because of

831
00:48:24,239 --> 00:48:27,840
Speaker 5: how possible it seems and really makes you question why

832
00:48:27,960 --> 00:48:30,359
Speaker 5: isn't this a priority and why isn't this being done

833
00:48:30,680 --> 00:48:34,080
Speaker 5: on a federal level. Yeah, we'll have GTA six before

834
00:48:34,120 --> 00:48:36,719
Speaker 5: we have you know, universal childcare. And I think this

835
00:48:36,760 --> 00:48:39,880
Speaker 5: applies to healthcare too, because this type of model could

836
00:48:39,920 --> 00:48:42,840
Speaker 5: be used in a similar way. That's all I'm saying.

837
00:48:43,000 --> 00:48:45,680
Speaker 5: If I was mixing and matching healthcare with childcare. I

838
00:48:45,719 --> 00:48:49,200
Speaker 5: just think the mind sort of jumps to that as like, well,

839
00:48:49,200 --> 00:48:50,440
Speaker 5: if you can do it for this, why can't we

840
00:48:50,440 --> 00:48:50,799
Speaker 5: do it for.

841
00:48:50,760 --> 00:48:52,280
Speaker 2: That, you know, essential things.

842
00:48:52,640 --> 00:48:56,719
Speaker 3: Childcare is healthcare, alright, true, very much so when you're

843
00:48:56,760 --> 00:49:00,439
Speaker 3: considering the psychological development, the formative years, and the need

844
00:49:00,480 --> 00:49:03,919
Speaker 3: for support and interaction, it's deeper than a band aid.

845
00:49:04,040 --> 00:49:07,120
Speaker 3: And one important thing to realize about this kind of

846
00:49:07,239 --> 00:49:11,719
Speaker 3: legislation is that, given the environment and the milieu in

847
00:49:11,800 --> 00:49:17,200
Speaker 3: which it originates, those private entities are still getting paid.

848
00:49:17,320 --> 00:49:21,880
Speaker 3: To be clear, the state is paying right and cutting

849
00:49:21,920 --> 00:49:25,440
Speaker 3: out some middle manning, but it's not as though people

850
00:49:25,560 --> 00:49:29,560
Speaker 3: are technically losing money as an industry. So this is

851
00:49:29,600 --> 00:49:33,400
Speaker 3: not something to knee jerk react in scream socialism was.

852
00:49:34,239 --> 00:49:37,080
Speaker 5: Money that helped start this off, as well, some coronavirus

853
00:49:37,160 --> 00:49:37,960
Speaker 5: relief money.

854
00:49:38,800 --> 00:49:41,719
Speaker 2: H Maybe that's I didn't see that in age.

855
00:49:41,760 --> 00:49:44,640
Speaker 5: It just says here in the AP New Mexico's current

856
00:49:44,719 --> 00:49:48,440
Speaker 5: childcare subsidies among the most expansive in the nation. Sorry, okay,

857
00:49:48,440 --> 00:49:50,160
Speaker 5: but this is still they're already ahead of the curve

858
00:49:50,200 --> 00:49:53,680
Speaker 5: for this. We're initiated with federal coronavirus relief money. So

859
00:49:53,840 --> 00:49:55,880
Speaker 5: just a good example of using some of that stuff

860
00:49:55,880 --> 00:49:57,520
Speaker 5: to help everyone.

861
00:49:58,480 --> 00:50:01,960
Speaker 2: Yeah, that same article. If you want to read this,

862
00:50:02,160 --> 00:50:05,480
Speaker 2: head on over to AP News and read Morgan Lee's article,

863
00:50:05,640 --> 00:50:08,200
Speaker 2: New Mexico is the first state to promise free childcare

864
00:50:08,200 --> 00:50:11,520
Speaker 2: for all families. And in there I was maybe I'm

865
00:50:11,600 --> 00:50:13,960
Speaker 2: just too hyper focused on some of this, but I

866
00:50:14,000 --> 00:50:17,400
Speaker 2: was reading about that surplus foil money as like pumping.

867
00:50:17,239 --> 00:50:19,800
Speaker 5: That's for this. This is just saying that New Mexico

868
00:50:19,840 --> 00:50:22,000
Speaker 5: in general is already miles ahead of a lot of

869
00:50:22,000 --> 00:50:25,720
Speaker 5: the rest of the country in childcare subsidies because smart

870
00:50:26,200 --> 00:50:27,680
Speaker 5: use those federal funds.

871
00:50:27,400 --> 00:50:30,280
Speaker 3: That They've been focused on this for a while. So again,

872
00:50:30,400 --> 00:50:35,080
Speaker 3: this isn't a Thano's finger snap right of ending corruption.

873
00:50:35,360 --> 00:50:39,280
Speaker 3: This is this is something that proves government can work.

874
00:50:39,640 --> 00:50:42,759
Speaker 2: Oh that's so awesome. Well, hey, speaking of proving that

875
00:50:42,880 --> 00:50:46,879
Speaker 2: things can work, guys, there's a hefty weight on one

876
00:50:46,880 --> 00:50:51,239
Speaker 2: man's shoulders to prove that his invention can function. He

877
00:50:51,320 --> 00:50:55,120
Speaker 2: and his team, doctor Charles Buehler. That's right, Buehler.

878
00:50:56,480 --> 00:50:57,279
Speaker 5: Is it his day off?

879
00:50:58,000 --> 00:51:01,319
Speaker 3: No, this guy is not gonna have on WI.

880
00:51:01,719 --> 00:51:04,680
Speaker 2: Yeah, this dude has been on it for a long

881
00:51:05,000 --> 00:51:08,879
Speaker 2: time doctor Charles Bueller, a NASA engineer and the co

882
00:51:08,960 --> 00:51:14,319
Speaker 2: founder of something called Exodus Propulsion Technologies. This dude is

883
00:51:14,360 --> 00:51:18,440
Speaker 2: a veteran of such NASA projects as the Space Shuttle,

884
00:51:18,600 --> 00:51:22,640
Speaker 2: the International Space Station, the Hubble Telescope, and this really

885
00:51:22,719 --> 00:51:27,000
Speaker 2: cool new thing called NASA's Dust program, which is essentially

886
00:51:27,040 --> 00:51:31,560
Speaker 2: a digital replication of the Moon to use for testing

887
00:51:31,600 --> 00:51:33,960
Speaker 2: things in a you know, virtual environment, but testing the

888
00:51:34,000 --> 00:51:37,160
Speaker 2: physical things you're going to build to navigate that environment.

889
00:51:36,840 --> 00:51:40,799
Speaker 3: Which is way less expensive than trying it out live. So,

890
00:51:41,080 --> 00:51:44,040
Speaker 3: by the way, thank you. And we mentioned doctor Bueller

891
00:51:44,480 --> 00:51:46,560
Speaker 3: a couple times in the past as well, because, as

892
00:51:46,560 --> 00:51:49,080
Speaker 3: you said, Matt, he's been at this game for a minute.

893
00:51:49,200 --> 00:51:51,319
Speaker 2: Oh he has been. But the reason what we're talking

894
00:51:51,320 --> 00:51:57,120
Speaker 2: about today is this Exodus Propulsion Technologies company. And uh,

895
00:51:58,040 --> 00:52:00,080
Speaker 2: I'm going to read a quote from doctor Bueller. This

896
00:52:00,120 --> 00:52:03,600
Speaker 2: comes from the debrief written by Christopher Plaine. I will

897
00:52:03,600 --> 00:52:05,880
Speaker 2: tell you the title in a moment. Here's a quote

898
00:52:05,960 --> 00:52:09,000
Speaker 2: from doctor Bueller. The most important message to convey to

899
00:52:09,040 --> 00:52:12,839
Speaker 2: the public is that a major discovery occurred. This discovery

900
00:52:12,880 --> 00:52:16,440
Speaker 2: of a new force is fundamental in that electric fields

901
00:52:16,440 --> 00:52:20,319
Speaker 2: alone can generate a sustainable force onto an object and

902
00:52:20,400 --> 00:52:25,720
Speaker 2: allow center of mass translation of said object without expelling mass.

903
00:52:26,360 --> 00:52:29,600
Speaker 2: There are rules that include conservation of energy, but if

904
00:52:29,600 --> 00:52:33,960
Speaker 2: done correctly, one can generate forces unlike anything humankind has

905
00:52:34,000 --> 00:52:37,279
Speaker 2: done before. It will be this force that we use

906
00:52:37,360 --> 00:52:40,800
Speaker 2: to propel objects for the next one thousand years until

907
00:52:40,800 --> 00:52:45,400
Speaker 2: the next thing comes. What we're talking about here is

908
00:52:45,480 --> 00:52:48,279
Speaker 2: very similar to the M drive, the EM drive that

909
00:52:48,360 --> 00:52:51,960
Speaker 2: we've discussed in the past, to the things that oh,

910
00:52:52,040 --> 00:52:57,400
Speaker 2: what is the name of that company? Ivo Limited? Ivo

911
00:52:57,480 --> 00:52:59,880
Speaker 2: Limited and the group behind the M drive have been

912
00:53:00,120 --> 00:53:05,920
Speaker 2: tempting this kind of electric propulsion system, right, microwave propulsion system,

913
00:53:06,080 --> 00:53:09,000
Speaker 2: something that does not burn fuel or have any kind

914
00:53:09,080 --> 00:53:09,879
Speaker 2: of expellant.

915
00:53:10,400 --> 00:53:10,560
Speaker 3: Right.

916
00:53:10,680 --> 00:53:13,920
Speaker 2: Your physics says that you have an equal and opposite

917
00:53:14,080 --> 00:53:16,319
Speaker 2: reaction to things. Right, So if you're trying to get

918
00:53:16,480 --> 00:53:19,000
Speaker 2: lift or propulsion, you got to push something out the

919
00:53:19,040 --> 00:53:22,760
Speaker 2: back in order for stuff to move, especially in space

920
00:53:22,800 --> 00:53:25,960
Speaker 2: when you don't have gravity working against you. And if

921
00:53:25,960 --> 00:53:28,360
Speaker 2: you do have gravity working against you, you have to

922
00:53:28,440 --> 00:53:31,680
Speaker 2: put enough force out to escape that gravity, to get

923
00:53:31,800 --> 00:53:35,719
Speaker 2: escape velocity and to get out of Earth's orbit. Right,

924
00:53:35,840 --> 00:53:38,880
Speaker 2: this this person, doctor Bueller, if you read through this

925
00:53:39,040 --> 00:53:42,960
Speaker 2: entire article, you will see that they are using essentially

926
00:53:43,640 --> 00:53:49,240
Speaker 2: essentially electricity in this really interesting way of this super

927
00:53:49,360 --> 00:53:55,200
Speaker 2: light substances that can essentially create propulsion without expelling anything.

928
00:53:55,239 --> 00:53:59,040
Speaker 2: It just makes you It makes my mind go a little.

929
00:54:00,560 --> 00:54:03,520
Speaker 5: It's just like whoosh, Like it literally just creates what

930
00:54:03,760 --> 00:54:05,319
Speaker 5: lift it pushes air?

931
00:54:05,560 --> 00:54:05,759
Speaker 2: Like what?

932
00:54:06,000 --> 00:54:07,160
Speaker 3: Yah? I'm just trying to understand.

933
00:54:07,560 --> 00:54:10,759
Speaker 2: Okay, So one thing to know about doctor Bueller. He

934
00:54:11,160 --> 00:54:14,000
Speaker 2: is one of the foremost experts on a thing called

935
00:54:14,120 --> 00:54:20,960
Speaker 2: electrostatics and surface physics, and they've this group Bueller and

936
00:54:21,360 --> 00:54:23,959
Speaker 2: his colleagues have been working on attempting to create things

937
00:54:24,040 --> 00:54:27,920
Speaker 2: that are similar to like the m drive, the microwave drive,

938
00:54:28,280 --> 00:54:30,120
Speaker 2: you know. Looking at other groups of people that are

939
00:54:30,200 --> 00:54:33,000
Speaker 2: trying to find a propellantless drive of some sort, like

940
00:54:33,040 --> 00:54:34,520
Speaker 2: the ion drives and those things.

941
00:54:34,719 --> 00:54:38,440
Speaker 5: I'm picturing magnets like a force generated from static that

942
00:54:38,560 --> 00:54:41,000
Speaker 5: like is maybe that's not quite right, but like, like,

943
00:54:41,200 --> 00:54:43,359
Speaker 5: if I'm thinking of the force of magnets, that would

944
00:54:43,360 --> 00:54:47,160
Speaker 5: be like a force creative that doesn't technically propel expel anything,

945
00:54:47,280 --> 00:54:49,759
Speaker 5: So it must be somewhat along those lines or I'm

946
00:54:49,880 --> 00:54:52,600
Speaker 5: so such a layman. I'm sorry if I'm posting straws.

947
00:54:52,680 --> 00:54:55,400
Speaker 2: You can look at a picture of the type of driver,

948
00:54:55,560 --> 00:54:58,000
Speaker 2: the type of system that they're attempting to build over

949
00:54:58,080 --> 00:55:03,359
Speaker 2: at Exodus Propulsion dot space space, and on the front

950
00:55:03,360 --> 00:55:06,360
Speaker 2: of that website you will see what looks like something

951
00:55:06,400 --> 00:55:09,719
Speaker 2: attached at the very center that can spin right. And

952
00:55:09,760 --> 00:55:12,080
Speaker 2: then at the ends of it you've got whatever this

953
00:55:12,239 --> 00:55:16,359
Speaker 2: thing is, the electrostatic materials, and then you can see

954
00:55:16,360 --> 00:55:19,520
Speaker 2: how if you send energy into this thing via let's

955
00:55:19,520 --> 00:55:23,279
Speaker 2: say a battery or something, you can create propulsion and

956
00:55:23,320 --> 00:55:26,719
Speaker 2: make this thing spin. One quote from Bueller is this,

957
00:55:27,080 --> 00:55:30,200
Speaker 2: our materials are composed of many types of charge carrier

958
00:55:30,360 --> 00:55:34,120
Speaker 2: coatings that have to be supported on a dielectric film.

959
00:55:34,480 --> 00:55:36,800
Speaker 2: Our aim is to make it as lightweight as possible,

960
00:55:36,800 --> 00:55:39,160
Speaker 2: but that is sometimes difficult since the films and their

961
00:55:39,200 --> 00:55:43,600
Speaker 2: coatings have to have a high dielectric breakdown strength.

962
00:55:45,600 --> 00:55:50,920
Speaker 3: This is definitely an episode because look, yeah, Bueller's not

963
00:55:51,040 --> 00:55:55,440
Speaker 3: without his critics for sure. Oh yeah, but the amazing

964
00:55:55,480 --> 00:55:59,920
Speaker 3: thing here is the claim that we haven't just figured

965
00:56:00,160 --> 00:56:05,200
Speaker 3: out how to use existing things in an innovative way,

966
00:56:05,640 --> 00:56:11,120
Speaker 3: but that Bueller and his cohort have literally discovered a

967
00:56:11,280 --> 00:56:12,040
Speaker 3: new force.

968
00:56:12,560 --> 00:56:15,600
Speaker 2: Yes, that's what they're saying, and this guy is again

969
00:56:15,719 --> 00:56:20,960
Speaker 2: not some chunk, not some inventor in a garage saying eureka,

970
00:56:21,000 --> 00:56:24,120
Speaker 2: I've discovered it. And it's not that the inventors of

971
00:56:24,120 --> 00:56:26,480
Speaker 2: the M driver and inventors of the others these other

972
00:56:26,840 --> 00:56:30,960
Speaker 2: you know, potentially revolutionary technologies are kooks or wrong. It's

973
00:56:31,000 --> 00:56:34,520
Speaker 2: just this guy has bonafides and his team has bonafides,

974
00:56:34,800 --> 00:56:37,879
Speaker 2: and they are saying they've discovered something here. I think

975
00:56:37,920 --> 00:56:40,920
Speaker 2: it's at least worth giving them the benefit of the

976
00:56:40,960 --> 00:56:45,040
Speaker 2: doubt until it is at least disproven or it's proven

977
00:56:45,080 --> 00:56:46,400
Speaker 2: that you can't actually gain them.

978
00:56:46,480 --> 00:56:48,040
Speaker 3: Yeah, it is worth investigating.

979
00:56:48,239 --> 00:56:50,759
Speaker 5: Is this what might be referred to as like vaporware

980
00:56:50,840 --> 00:56:53,279
Speaker 5: or something like that, or just sort of like not

981
00:56:53,400 --> 00:56:55,000
Speaker 5: vapor where they mean that's more of like a software

982
00:56:55,040 --> 00:56:58,640
Speaker 5: thing but science. That sounds great conceptually, but maybe isn't

983
00:56:58,640 --> 00:57:00,800
Speaker 5: actually possible, and that we need to see the proof

984
00:57:00,960 --> 00:57:03,080
Speaker 5: before we can get behind it.

985
00:57:02,880 --> 00:57:06,759
Speaker 3: Like AI, that's not far off.

986
00:57:07,320 --> 00:57:09,640
Speaker 2: Well, again, we've seen these kinds of things before for

987
00:57:09,719 --> 00:57:12,120
Speaker 2: a long time, like the perpetual energy devices and.

988
00:57:12,080 --> 00:57:13,960
Speaker 3: These things you mentioned.

989
00:57:14,040 --> 00:57:17,800
Speaker 2: Yeah, and and the M drive was pretty much debunked.

990
00:57:17,840 --> 00:57:20,600
Speaker 2: You can you can read articles about that too. Let

991
00:57:20,600 --> 00:57:24,160
Speaker 2: me send everybody over to this one debrief article. The

992
00:57:24,200 --> 00:57:29,960
Speaker 2: title is NASA veterans propellantless propulsion drive that physics says

993
00:57:30,040 --> 00:57:34,840
Speaker 2: shouldn't work, just produced enough thrust to overcome Earth's gravity,

994
00:57:35,560 --> 00:57:39,240
Speaker 2: which is insane. That the findings, according to doctor Bueller,

995
00:57:39,320 --> 00:57:43,640
Speaker 2: is that if you built this thing in a particular way,

996
00:57:44,200 --> 00:57:47,880
Speaker 2: you could basically make it levitate and then continue to

997
00:57:47,880 --> 00:57:50,840
Speaker 2: float up until it escapes Earth's gravity.

998
00:57:50,920 --> 00:57:52,240
Speaker 5: It's like fizzy lifting drinks.

999
00:57:53,520 --> 00:57:58,919
Speaker 2: So so the big questions are, well, how light would

1000
00:57:58,960 --> 00:58:02,400
Speaker 2: your space it'll have to be to function with this?

1001
00:58:02,560 --> 00:58:05,640
Speaker 3: Right? I see how heavy can your paper airplane become?

1002
00:58:05,960 --> 00:58:08,640
Speaker 2: But exactly. But in the end, it wouldn't matter if

1003
00:58:08,720 --> 00:58:12,160
Speaker 2: you were just using this engine, this drive for propulsion

1004
00:58:12,200 --> 00:58:15,040
Speaker 2: once you're in space, right, because if you could do that,

1005
00:58:15,160 --> 00:58:18,160
Speaker 2: then you only need a tiny bit of propulsion to

1006
00:58:18,200 --> 00:58:21,840
Speaker 2: get up to huge speeds while you're in space to continue.

1007
00:58:21,400 --> 00:58:25,520
Speaker 3: Accelerate and you are you are less burdened by the

1008
00:58:25,520 --> 00:58:26,760
Speaker 3: albatross of fuel.

1009
00:58:27,200 --> 00:58:31,120
Speaker 2: Yes, and you could use solar energy right from any

1010
00:58:31,160 --> 00:58:34,680
Speaker 2: star to fuel up whatever batteries you're using to power

1011
00:58:34,720 --> 00:58:38,200
Speaker 2: the thing. It's super cool stuff. Check it out. We'll

1012
00:58:38,240 --> 00:58:40,120
Speaker 2: probably do a full episode on it and go back

1013
00:58:40,160 --> 00:58:42,800
Speaker 2: through the m drive and through these other propellant lists

1014
00:58:42,920 --> 00:58:44,760
Speaker 2: drives that have been proposed over the years, because some

1015
00:58:44,800 --> 00:58:47,600
Speaker 2: of them have been tested by state governments and study

1016
00:58:47,760 --> 00:58:50,439
Speaker 2: like DARPA is studying some of this stuff as they're

1017
00:58:50,440 --> 00:58:52,360
Speaker 2: the ones that put out the original grants for some

1018
00:58:52,400 --> 00:58:52,840
Speaker 2: of these.

1019
00:58:52,720 --> 00:58:57,640
Speaker 3: Things, right, and this is this is an exciting time.

1020
00:58:57,720 --> 00:58:59,280
Speaker 3: And that's what we're talking about when we say there's

1021
00:58:59,320 --> 00:59:03,360
Speaker 3: this tie in with science in our weekly Strange News

1022
00:59:03,360 --> 00:59:09,160
Speaker 3: segment this week, because we're seeing enormous opportunity, but then

1023
00:59:09,160 --> 00:59:13,480
Speaker 3: we're also seeing an enormous need for supporting people and

1024
00:59:13,720 --> 00:59:16,800
Speaker 3: institutions doing this research, you know what I mean. Like,

1025
00:59:16,920 --> 00:59:20,720
Speaker 3: imagine this turns out to be true and Buehler goes

1026
00:59:20,760 --> 00:59:24,040
Speaker 3: to a completely different country and works on their equivalent

1027
00:59:24,080 --> 00:59:25,040
Speaker 3: of the space program.

1028
00:59:25,160 --> 00:59:27,680
Speaker 5: That sounds familiar, Ben, I almost want to say we

1029
00:59:27,720 --> 00:59:29,320
Speaker 5: did a segment on that at the very top of

1030
00:59:29,360 --> 00:59:32,480
Speaker 5: the show. Yeah, pretty likely to happen.

1031
00:59:32,840 --> 00:59:35,680
Speaker 2: Well, that's it for me, guys, and I guess that

1032
00:59:35,720 --> 00:59:38,520
Speaker 2: concludes our episode of Strange News today.

1033
00:59:38,840 --> 00:59:41,880
Speaker 3: We can't thank you enough, folks for joining us on

1034
00:59:42,080 --> 00:59:46,400
Speaker 3: Strange News this week. We'll be back with more as

1035
00:59:46,440 --> 00:59:49,480
Speaker 3: things develop and we cannot wait to hear from you.

1036
00:59:49,560 --> 00:59:51,800
Speaker 3: So you can drop us a call on a telephone.

1037
00:59:51,960 --> 00:59:54,680
Speaker 3: You can always send us an email, and you can

1038
00:59:54,720 --> 00:59:56,280
Speaker 3: reach us on the lines.

1039
00:59:56,440 --> 00:59:59,240
Speaker 5: Oh, you sure can have a handle Conspiracy Stuff where

1040
00:59:59,240 --> 01:00:01,080
Speaker 5: we exist on faceboo book, we have our Facebook group

1041
01:00:01,120 --> 01:00:04,880
Speaker 5: Here's where it gets crazy, on xfka, Twitter, and on YouTube.

1042
01:00:04,920 --> 01:00:07,960
Speaker 5: We have video content for your perusing enjoyment on Instagram

1043
01:00:07,960 --> 01:00:11,880
Speaker 5: and TikTok. However, we are the handle Conspiracy Stuff Show.

1044
01:00:12,440 --> 01:00:14,840
Speaker 2: We also have a phone number. We can't tell you

1045
01:00:14,920 --> 01:00:17,640
Speaker 2: how much we appreciate you hanging out with us every week,

1046
01:00:17,800 --> 01:00:20,400
Speaker 2: maybe a couple times a week, So why not call us?

1047
01:00:21,240 --> 01:00:22,280
Speaker 3: Just talk to us.

1048
01:00:22,400 --> 01:00:24,840
Speaker 2: It could be about anything, anything we talked about today,

1049
01:00:24,880 --> 01:00:27,280
Speaker 2: anything we've talked about at all, anything we haven't talked

1050
01:00:27,280 --> 01:00:27,840
Speaker 2: about yet.

1051
01:00:28,480 --> 01:00:29,240
Speaker 5: Just give us a call.

1052
01:00:29,520 --> 01:00:33,880
Speaker 2: Our number is one eight three three std WYTK. When

1053
01:00:33,920 --> 01:00:35,720
Speaker 2: you call in, give yourself a cool nickname and let

1054
01:00:35,800 --> 01:00:37,320
Speaker 2: us know within the message if we can use your

1055
01:00:37,400 --> 01:00:39,840
Speaker 2: name and message on the air. If you'd like to

1056
01:00:39,880 --> 01:00:42,000
Speaker 2: instead send us an email, you can do that too.

1057
01:00:42,680 --> 01:00:46,360
Speaker 3: We are the entities that read each piece of correspondence

1058
01:00:46,480 --> 01:00:49,880
Speaker 3: we receive, no matter how long, no matter how short,

1059
01:00:49,960 --> 01:00:52,480
Speaker 3: whatever works for you. Give us the links, give us

1060
01:00:52,480 --> 01:00:55,760
Speaker 3: the image, give us the entrance to the rabbit hole.

1061
01:00:56,040 --> 01:00:59,640
Speaker 3: We will do the rest. And please remember that suggestions

1062
01:01:00,160 --> 01:01:03,240
Speaker 3: are things that inspire you from our strange news segment

1063
01:01:03,320 --> 01:01:06,640
Speaker 3: or listener mail inspire episodes in the future. We can't

1064
01:01:06,640 --> 01:01:09,680
Speaker 3: do this without you. We do have one weird question

1065
01:01:09,800 --> 01:01:13,520
Speaker 3: for you, folks, and this is a surprise for you

1066
01:01:13,560 --> 01:01:19,040
Speaker 3: guys as well. I just read that a scientist has

1067
01:01:19,080 --> 01:01:22,920
Speaker 3: said he figured out the best comeback to an insult.

1068
01:01:24,280 --> 01:01:27,440
Speaker 3: He said, he researched it, and it is true. Do

1069
01:01:27,480 --> 01:01:28,400
Speaker 3: you want to hear what it is?

1070
01:01:28,640 --> 01:01:29,560
Speaker 5: Of course, silence.

1071
01:01:31,640 --> 01:01:35,320
Speaker 3: According to a neuroscientist named doctor Dean Burnett, the best

1072
01:01:35,400 --> 01:01:39,120
Speaker 3: comeback to an insult, if you, unfortunately have to deal

1073
01:01:39,160 --> 01:01:42,040
Speaker 3: with like bullies and rude people, is to simply say,

1074
01:01:42,280 --> 01:01:46,960
Speaker 3: in a calm voice, calm down, Grandma. I don't know

1075
01:01:47,000 --> 01:01:50,280
Speaker 3: if the science is there. What do you guys think? TBD.

1076
01:01:51,320 --> 01:01:53,480
Speaker 2: I like the thumbs down technique that you outlined in

1077
01:01:53,520 --> 01:01:54,720
Speaker 2: a previous episode.

1078
01:01:54,400 --> 01:01:57,800
Speaker 3: Ben Well, I appreciate that beat, and we appreciate you.

1079
01:01:57,840 --> 01:02:00,520
Speaker 3: So find us conspiracy at iHeart radio dot com.

1080
01:02:19,000 --> 01:02:21,040
Speaker 2: Stuff they don't want you to know is a production

1081
01:02:21,160 --> 01:02:25,680
Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app,

1082
01:02:25,760 --> 01:02:28,640
Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows.