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

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

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

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

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Speaker 1: What is something from your search history that is revealing

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Speaker 1: about who you are as a person? Well, this is uh,

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Speaker 1: this is a wormhole. I went down. I had to

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Speaker 1: take a picture because I couldn't remember the title. But

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Speaker 1: I clicked on it and then I couldn't stop. It

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Speaker 1: said gut doctor. I bet Americans to throw out this vegetable.

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Speaker 1: And I clicked on it as I beg sorry, I

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Speaker 1: beg them got it And I was like, what vegetable?

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Speaker 1: Because I eat a lot of vegetables And I was like,

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Speaker 1: what am I eating? That's like ruining my gut? You

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Speaker 1: know when you clicked on these things, and then twenty

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Speaker 1: minutes later I still didn't discover it because it was

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Speaker 1: like watch this guy's forty minute video on gut rot

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Speaker 1: and then like you know how you just get sucked

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Speaker 1: in and keep clicking and you can never get to

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Speaker 1: the Yeah, I was like, oh god, it's three o'clock.

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Speaker 1: I started this at nine am. Is it selary or

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Speaker 1: you never found out? I never okay, so you google

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Speaker 1: to be like, what's just I just kept going and

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Speaker 1: then really it was like twenty it was. It was

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Speaker 1: one of these things where then I think at one

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Speaker 1: point I got it to like then a dollar ninety nine,

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Speaker 1: you know, click, it was just yeah, And so then

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Speaker 1: I just started guessing it was was that clickbait like

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Speaker 1: at the bottom of another article, like one of those things.

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Speaker 1: It was one of those things even doctors are concerned about. Yeah,

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Speaker 1: like these jeans make you look You're like, yeah, yeah,

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Speaker 1: it was one of those things. But it's always a

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Speaker 1: shame full experience. But you sometimes you just have to

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Speaker 1: click on them. They're like, well they got me, No,

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Speaker 1: they this guy definitely got me. Right. It'll be like

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Speaker 1: a person who has like had like clearly photoshopped face

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Speaker 1: and like you'll never guess what celebrity went overboard with plastic.

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Speaker 1: And then you go and it's like, okay, like Muriel Hemingway, right, Yeah,

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Speaker 1: I just have a like a bad stomach and I'm

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Speaker 1: always trying like new things. So I was like, what

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Speaker 1: do you mean what all vegetables are perfect? Isn't that

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Speaker 1: troubling that Google knows you have a bad stomach. Of

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Speaker 1: course it does, because every every time in my computers off,

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Speaker 1: I have a bad stomach, and then I turn it

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Speaker 1: back on and it's like, do you have a bad stomach.

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Speaker 1: We're just gonna guess here. We're gonna throw something out

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Speaker 1: and you can tell us if we're wrong. And so

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Speaker 1: is the teacher unions striking? Yeah, across in these United States? Uh,

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Speaker 1: this time it is in Denver. The teachers there are

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Speaker 1: on strike because they want to be paid a reason properly. Yeah,

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Speaker 1: seventy thousand teachers on strike or seventy one because it

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Speaker 1: took fifteen months of negotiating with the school district and

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Speaker 1: they got fucking nowhere and the whole This is kind

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Speaker 1: of a unique situation because it's not the usual, Like

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Speaker 1: I mean, it is over pay. But the pay structure

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Speaker 1: in Denver is really kind of confusing because they use

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Speaker 1: these like bonuses that are like incentivized, but they're inconsistent,

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Speaker 1: and teachers themselves won't even know when they hit because

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Speaker 1: like sometimes they're like I made four thousand dollars more

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Speaker 1: last year because this like weird growth bonus hit, But

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Speaker 1: I didn't know when it was coming. So their whole

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Speaker 1: thing is like, Yo, get rid of the bonuses, use

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Speaker 1: that money that you were going to use to give bonuses,

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Speaker 1: and just increase our base pay because we cannot financially

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Speaker 1: plan when I'm rolling the dice all the time for

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Speaker 1: these inconsistent bonuses. So I mean, this seems like a

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Speaker 1: very very easy thing to resolve, because you know the

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Speaker 1: money is. They're just taking it away from these bonuses

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Speaker 1: that you think are working and put them in a

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Speaker 1: base bay. But they're at a standstill, and the governor

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Speaker 1: doesn't really want to get involved yet. I think he

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Speaker 1: was saying, like, I think they can resolve this on

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Speaker 1: their own. But as I always say, give teachers what

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Speaker 1: the funk they want, because they are helping fucking educate

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Speaker 1: people and they are the first line of defense against

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Speaker 1: ignorance most of the time. Man, teachers must Yeah, teachers

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Speaker 1: really don't make a lot, I think because I remember

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Speaker 1: every elementary school teacher I ever had would mention how

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Speaker 1: much they do not make money in class. It's the

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Speaker 1: thing they would always talk about. They're like, well, I

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Speaker 1: bought you all pencils, but remember I'm just a teacher.

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Speaker 1: Remember my walking cane broke. Isn't that a broomstick with

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Speaker 1: a ruler? I couldn't afford to. I had to make it.

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Speaker 1: But I remember, Yo, the first time I saw I

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Speaker 1: realized that my teacher had two jobs. I saw her

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Speaker 1: at Macy's or it was the may Company back or no,

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Speaker 1: it was Robinson's. She was working the beauty counter and

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Speaker 1: I walked through and I saw her spraying perfume and

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Speaker 1: I was like, this is he Cox and she was like,

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Speaker 1: oh hi, And I was shook because you know, when

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Speaker 1: you're eight nine years old, you just think you have

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Speaker 1: one job and then you and you don't realize that

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Speaker 1: their teachers are getting paid funk all. And then afterwards

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Speaker 1: like all the other kids like oh yeah, Like I've

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Speaker 1: seen her there too, and she was explaining, He's like, yo, uh,

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Speaker 1: they're not paying me enough here. So I get down

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Speaker 1: at the beauty counter and yeah, and like a lot

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Speaker 1: of so many teachers are Uber drivers too. I mean

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Speaker 1: so many Uber drivers were also teachers. So just my god,

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Speaker 1: don't make it already hard for these people to take

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Speaker 1: care of your children and educate them. Also, your kids

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Speaker 1: are shitty, kids are mean. If I get those millions

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Speaker 1: of dollars. There are a few teachers I'm gonna have

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Speaker 1: to break off with a check or two thank you

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Speaker 1: for not time to get me expelled. Yeah, I mean

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Speaker 1: this payment method is really diabolical because it's it's taking

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Speaker 1: sort of the psychology of American capitalism the way, you know,

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Speaker 1: some people make it big, even if it's one percent

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Speaker 1: of the population. Those people get super rich, and so

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Speaker 1: we see them and we assume, oh, we can get

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Speaker 1: there too. So, like by putting some of the money

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Speaker 1: in bonuses that are kind of given out randomly, you

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Speaker 1: are basically messing with people mentally. And it's good that, like,

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Speaker 1: the only way to fight something like that is by

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Speaker 1: organizing collectively and having a big enough power to you know,

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Speaker 1: back you up. And then they see that one percent

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Speaker 1: and you're like, oh, well, you don't realize is that

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Speaker 1: a lot of that success has been predetermined by you know,

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Speaker 1: societal structures. But again, we can act like it's a

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Speaker 1: fairytale story. That is why we cover that up as

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Speaker 1: vigorously as possible in our mass media. The role that

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Speaker 1: parents and inherited wealth have to play in American success.

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Speaker 1: All right, let's talk about the green New Deal. Speaking

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Speaker 1: of the left, So AOC and Ed Markey unveiled their

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Speaker 1: Green New Deal plan and it's got some you know,

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Speaker 1: really lofty some people are saying unrealistic goals for the

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Speaker 1: next ten years. Um. But you know, the the rollout

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Speaker 1: was a bit of a mess, and I don't know,

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Speaker 1: it might have opened them up to some criticism that

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Speaker 1: might be unwarranted given what is actually in the plan

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Speaker 1: right now. Yeah, well, there are some people who are

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Speaker 1: getting really microscopic about picking it apart. Um. I think

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Speaker 1: the one criticism that I think is sound or at

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Speaker 1: least based in science, is about the fact that the

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Speaker 1: Green New Deal doesn't really address one of the major

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Speaker 1: problems for greenhouse emissions or carbon emissions is sprawl, because

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Speaker 1: like America is built so spread out, it means a

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Speaker 1: lot of people travel many miles every day to get

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Speaker 1: just to get to work. And the way that our

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Speaker 1: cities are planned, like they're only exacerbating those problems. So

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Speaker 1: even if there was you know, like the thing about

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Speaker 1: saying like well we should get to like California should

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Speaker 1: be und percent electric vehicles. Okay, that's one dimension, but

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Speaker 1: to address sprawl, Uh, there are a few people who

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Speaker 1: are like that would really be a way to tackle

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Speaker 1: many different things because right now, like it is a

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Speaker 1: good jobs bill, I mean that we would put people

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Speaker 1: to work. But the issues that it's really trying to tackle,

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Speaker 1: they say a lot are sort of born out of

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Speaker 1: the idea that everything is so spread apart. So you

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Speaker 1: could address the housing crisis and emissions if you use

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Speaker 1: money to create a little bit better planned like uh

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Speaker 1: more housing dense areas near job centers, because right now,

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Speaker 1: a lot of people have community long time, especially if

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Speaker 1: you are lower income or person of color. You're the

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Speaker 1: distance you travel for jobs. You know, you see articles

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Speaker 1: about like this man walked forty miles a day to

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Speaker 1: his job and then the guy gave him a car,

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Speaker 1: and it's like that's exactly what we're talking about. The

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Speaker 1: people who have to that's how they survive. Let's try

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Speaker 1: and figure out a way to actually make people's living

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Speaker 1: situations less dependent on traveling those long miles. Now, rich

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Speaker 1: people are going to take care of that. They're just

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Speaker 1: gonna keep giving people cars. I think I think we

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Speaker 1: can feel like, yeah, but electric cars now, yeah, a

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Speaker 1: start command, but that's a thing like that's we're not

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Speaker 1: even even if we had it right now, like technology

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Speaker 1: isn't fully there to be like yeah, boom electric cars,

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Speaker 1: every everything electronic electric cars right now. I mean, so,

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Speaker 1: you know, this is at the very least, we're moving

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Speaker 1: in a in a direction where it is actually trying

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Speaker 1: to give guidance on how we are going to address

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Speaker 1: climate change in an actual, you know, feasible way. Um.

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Speaker 1: But this is a thing. This is it's it's it's

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Speaker 1: a living things. It's always evolving. So there's also this

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Speaker 1: f a Q that was put out by AOC's camp

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Speaker 1: but not necessarily her with her blessing on the day

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Speaker 1: of the release, that it seems to be working off

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Speaker 1: some assumptions that aren't actually in the proposal, like that

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Speaker 1: they're going to put stricter contingencies on dairy farmers and

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Speaker 1: paying people who don't want to work to work, and

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Speaker 1: commitment not to go nuclear, and so a lot of

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Speaker 1: the criticisms are about things that aren't actually in the bill.

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Speaker 1: There in this f a Q that just wasn't handled correctly.

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Speaker 1: It was put out and it's probably an earlier version

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Speaker 1: of it that doesn't actually reflect like the most up

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Speaker 1: to date version of what they were proposing, and a

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Speaker 1: lot of like if you google Green New Deal, Like

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Speaker 1: a lot of the coverage in the past couple of

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Speaker 1: days has been about like why they really bungled this rollout.

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Speaker 1: It's like that horse race politics ship where they just

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Speaker 1: cover politics as if it's theater, and it's just like here,

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Speaker 1: they should have presented this better sports game. Yeah, somebody

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Speaker 1: was saying, people are trying to take the focus away

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Speaker 1: from the big picture and focus on these little typos,

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Speaker 1: and I can understand how that is frustrating. The economist

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Speaker 1: kind of gave a more thorough critique of the bill,

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Speaker 1: basically saying that it, you know, in addition to taking

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Speaker 1: on climate change, it also like throws out big goals

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Speaker 1: about you know, jobs and universal basic income, and it's

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Speaker 1: basically tear down American society and build it back up

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Speaker 1: from the ground up, is what you could interpret this

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Speaker 1: is taking. But a quote that kind of helped me

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Speaker 1: put what this would require into perspective was a guy

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Speaker 1: named Ken Caldera, who's an atmospheric researcher at Carnegie Institution

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Speaker 1: for Science, and he was saying, in my own subjective assessment,

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Speaker 1: getting to near zero emissions over the next decade would

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Speaker 1: be physically possible, but socio politically infeasible. Then he said,

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Speaker 1: during World War Two, up to six of the national

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Speaker 1: GDP was directed towards the war effort. If we were

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Speaker 1: to mobilize around the climate problem the way we mobilized

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Speaker 1: around the fight against Germany and Japan, then we could

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Speaker 1: possibly do this. So like that, how about this, Uh,

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Speaker 1: this is a way greater threat to Germany. But yeah, exactly,

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Speaker 1: But that's the sort of change that you would need

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Speaker 1: to see, and a lot of it. There was an

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Speaker 1: article in Slate, uh, just sort of pointing to the

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Speaker 1: fact that there's like this Berkeley bart station where they

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Speaker 1: built up like the parking garages, like you know, next

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Speaker 1: level environmentally friendly with like you know, has like rainwater

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Speaker 1: capture and water treatment features and rooftop solar and the

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Speaker 1: thing costs like nearly forty million dollars to build. And

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Speaker 1: they're sort of pointing to this is like, this is

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Speaker 1: the kind of solution people just do, is like, well,

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Speaker 1: let's just pour money into this thing to make that better,

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Speaker 1: when they're actually like fundamentally greater issues And it's not

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Speaker 1: that the parking structure needs to be more environmentally friendly,

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Speaker 1: like we have to rethink the way this ship is

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Speaker 1: even laid out. Here's something dairy farmers can do. We

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Speaker 1: just got to get like a bunch of corks and

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Speaker 1: plug up those cow butts because it's cow farts, right,

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Speaker 1: ruining and from the cow farts. Just like Ali g

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Speaker 1: said when he interviewed Ralph Nader that one time, he's like,

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Speaker 1: I think he posed the question to Ralph nay Or

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Speaker 1: about was like what about these cows? And he's like, well,

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Speaker 1: I don't know how you could solve that unless you've

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Speaker 1: hooked a box up to a cow's asshole, like so

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Speaker 1: deadpanned when it's a great moment. Yeah, it's at least interesting.

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Speaker 1: Some people are pointing to it as like maybe being

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Speaker 1: a Overton window mover, like changing the conversation at least

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Speaker 1: so that people are now thinking about the problem of

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Speaker 1: climate change in terms of changing the entire system rather

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Speaker 1: than building a bunch of parking structures. So from that perspective,

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Speaker 1: it could be seen as a win for the left. Uh.

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Speaker 1: And I think, you know, at the end of the day,

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Speaker 1: just don't get so myopic and how you're looking at

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Speaker 1: this thing right now, Like literally this is like one

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Speaker 1: of the first real kind of plans to be like, hey,

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Speaker 1: this is a problem. What can we do to fucking

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Speaker 1: even try and look at this and see what like

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Speaker 1: fix this? Yeah, And I mean the economists piece that

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Speaker 1: was critical of it was saying that, you know, there's

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Speaker 1: still a chance for it to you know, succeed, but

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Speaker 1: that they think it should focus on climate change exclusively

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Speaker 1: and not like put in all this stuff about universal

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Speaker 1: basic in kind of cream neon deal. Right. So, yeah,

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Speaker 1: we'll see how it evolves, will be keeping an eye

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Speaker 1: on it. But most presidential candidates for the Democratic nomination

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Speaker 1: have come out in support of it, So it is

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Speaker 1: going to be a you know, it's not a non factor,

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Speaker 1: regardless of what people are saying at the moment. Yeah,

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Speaker 1: and then when you read that study that came out

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Speaker 1: about the I don't know if one is to do

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Speaker 1: with the other, but all the insect decline, like the

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Speaker 1: insect population is there's more than just the bees, yes,

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Speaker 1: what else? Like all insects they're like decreasing every year.

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Speaker 1: I hate bugs, but I know they're important. Well, they

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Speaker 1: say within a century most insects could die off and

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Speaker 1: that would be cataclysmic. So it's not like we got

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Speaker 1: a lot of problems. Yeah, I wonder how much of

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Speaker 1: it is. A house flies around my house those things

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Speaker 1: up electric? Get ye might as Let's talk about doubleheader

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Speaker 1: bread bull. Oh my god, yo, so Panera Bread has

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Speaker 1: lost their damn minds. They put out a double barreled

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Speaker 1: bread bull soup fucking loaf nobody on earth asked for

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Speaker 1: what basically is is like a rustic loaf. They cut

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Speaker 1: out two big circles in them, and it's like a

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Speaker 1: dueling bread bull that I guess they wanted to be

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Speaker 1: like if you're sharing a milkshake with somebody, or like

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Speaker 1: a Sunday where you can both scoop out of it.

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Speaker 1: I'm not even sure who this is for. I am

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Speaker 1: absolutely their target demo. Would you now, okay, great Blair,

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Speaker 1: are you going to eat that with someone else? Or

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Speaker 1: you have a spoon in your right hand and spoon

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Speaker 1: your left hand and you're just alternating hands scooping out

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Speaker 1: the bread bull. Honestly, I can't see both scenarios happening

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Speaker 1: very easily. I would love I am the president. I'll

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Speaker 1: sit on the same side as the at the restaurant

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Speaker 1: as my boyfriend. Yeah, I love that. I think it's cute.

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Speaker 1: I think that would be really fun to share. I

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Speaker 1: also love wearing food. I'm Italian. I love to share.

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Speaker 1: I think that's gorgeous. Yeah, you would never do that.

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Speaker 1: Uh No, I don't know, it's just weird. I've just

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Speaker 1: never I've never had a bread bull and been like, damn,

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Speaker 1: you know what. I wish I could have a double

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Speaker 1: barrel bread bull to share with my friend. I feel

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Speaker 1: like bread bulls, and maybe I'm wrong, but I feel

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Speaker 1: like bread bulls are one of the most universally love things.

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Speaker 1: I don't love a bread bull. It's just that, like,

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Speaker 1: I'm like, yo, I think the bread bull was peak

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Speaker 1: bread bull to me, and now we're jumping the shark.

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Speaker 1: I think they're taking it too far, Like when they

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Speaker 1: try to mix chocolate with bacon and you're like, they're

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Speaker 1: they're both perfect separate into t Yeah. Yeah, but I mean,

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Speaker 1: I don't mind. I don't have a problem with this either.

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Speaker 1: I don't have a problem with I'm just sort of like,

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Speaker 1: I don't I don't see how this is going to

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Speaker 1: take off though, you know, I don't see where this

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Speaker 1: is actually feeling like a void in a market where

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Speaker 1: people are like, oh, think okay, great. I'm getting this, Miles.

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Speaker 1: It's a normal indulgence, innovation, find a new slant. Maybe

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Speaker 1: it's a stunt like the mcgrib you saw that took off.

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Speaker 1: I think you know they're dropping it around Valentine's Day,

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Speaker 1: so they want to be like, yo, split a bowl

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Speaker 1: of broccolichio. Super, That's what I can do. And yeah,

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Speaker 1: it looked like the biggest asshole. What did you get? Baby?

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Speaker 1: Close your eyes. I take her to a panera with her, like,

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Speaker 1: I don't your wife, Yeah, she would. She would be like,

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Speaker 1: I'm taking the kids, We're moving to Pittsburgh. Crip. No,

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Speaker 1: she would be happy with anything. She is a great

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Speaker 1: wife because I would be out on the street. All right,

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

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Speaker 1: And we're back. Let's talk about measles comfortable. Yeah, you know,

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Speaker 1: because I thought it was. I thought we declared it

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Speaker 1: eliminated and stuff you missed in history class. Yeah. No,

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Speaker 1: because there is a outbreak of measles in the Pacific Northwest,

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Speaker 1: in a community that has one of the lowest rates

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Speaker 1: of vaccination. Is the vaccination right there versus is not

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Speaker 1: enough for herd immunity and the reason that so few

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Speaker 1: people are being vaccinated there is not because it's like

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Speaker 1: a you know, poor place or like, you know, they

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Speaker 1: don't have the funding. It is a place where parents

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Speaker 1: tend to have beliefs about like vaccination choice is like

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Speaker 1: how how they're terming it. And it's basically this whole

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Speaker 1: anti vax or campaign that has that started with a eighties,

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Speaker 1: nineteen eighties like study funded by a British doctor that

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Speaker 1: has since been retracted, but it was published in like

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Speaker 1: respected papers, Urnal Medicine or something like that, right it was,

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Speaker 1: I think it's called the Lancet or something like that,

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Speaker 1: but they've since retracted it. And it also didn't say

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Speaker 1: that these vaccinations caused autism. It's just associated like one

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Speaker 1: type of vaccination with a stomach problem that coincided with

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Speaker 1: autism in some cases. Uh. And this doctor realized he

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Speaker 1: could make tons and tons of money by guessing parents

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Speaker 1: up who have children with autism, and when he was

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Speaker 1: also I think connected to a vaccine, an alternative vaccine

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Speaker 1: to MMR vaccines that he would have profited off of

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Speaker 1: by tearing that one down. Yeah, because I think it's

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Speaker 1: in Clark County, Washington. But yeah, they're they have like

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Speaker 1: laws where you can just basically say, oh, I'm not

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Speaker 1: vaccine for non religious personal like philosophical beliefs. And I

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Speaker 1: think Oregon and Idaho are also places where you can

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Speaker 1: basically make that decision. It's not a law that your

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Speaker 1: child has to be vaccinated if you have personal beliefs.

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Speaker 1: But in addition to this guy's paper that kind of

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Speaker 1: fucked the country over, it has also been exacerbated this

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Speaker 1: anti bax Or movement by the Internet and specifically Russia,

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Speaker 1: and the Internet Research Agency is specifically like focused on

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Speaker 1: trying to get anti vax or messaging out there because

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Speaker 1: they just want to see the United States burn. Yeah, well,

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Speaker 1: it's a good wedge issue. They love wedge issues. And

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Speaker 1: this has been a thing that slowly has gained traction

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Speaker 1: because the scientifically illiterate are just listening to hot takes

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Speaker 1: or infographics. They see that they're saying, oh, this equals this,

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Speaker 1: and they would love to see nothing more than a

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Speaker 1: once eradicated disease begin to spread in the United States. Again,

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Speaker 1: not that it's just this is all because of Russia,

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Speaker 1: but it's just another element that Russia has identified as

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Speaker 1: like a week point in American societ idea of being like,

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Speaker 1: oh wow, some of these people don't believe sides. Okay,

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Speaker 1: let's let's let's work with that a little bit. Yeah,

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Speaker 1: and you don't have to be like stupid to believe

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Speaker 1: this stuff because there is so much data and information

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Speaker 1: out there for both sides. That's the that's the thing

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Speaker 1: that they've done, is they've both sides it. So they

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Speaker 1: will put out studies that are saying that, you know,

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Speaker 1: vaccines do cause autism, and now they'll be like, but

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Speaker 1: you know, there's other people who claim they don't, and

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Speaker 1: we're open to both sides. When I just put vaccine

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Speaker 1: into YouTube the top videos pro vaccine verse anti vaccine,

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Speaker 1: should your kids get vaccinated? It's not even a question, right, yeah,

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Speaker 1: And it's it's two groups of parents arguing back and forth,

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Speaker 1: and it doesn't come down on one side or the other.

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Speaker 1: It's like, you know, well that's your opinion, but here's

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Speaker 1: our opinion, and like these are two okay sides of

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Speaker 1: a like reasonable debate. Just like that Jabouki tweet. He's like,

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Speaker 1: if my child dies because I didn't want to vaccinate it,

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Speaker 1: that's my opinion, because you know what I mean, And

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Speaker 1: that's the that's what's dangerous is because there's so much

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Speaker 1: information out there, misinformation, it keeps people off level footing

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Speaker 1: about what the science is. When a lot of the

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Speaker 1: websites too, when you look at like Facebook, two of

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Speaker 1: those groups where parents like where a lot of anti

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Speaker 1: factors gather, they're just disseminating like junk science and there's

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Speaker 1: never anything that is from a real, yeah, reputable medical source.

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Speaker 1: And I think because of that one study was that's

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Speaker 1: one that's like sort of the origin myth that they

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Speaker 1: hang on too, despite repeated things be like, Yo, this

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Speaker 1: guy is a quack. We have we had to kick

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Speaker 1: him the funk out. This is not real. Uh, this

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Speaker 1: was a dangerous thing and it caused this, this this

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Speaker 1: little bit of uncertainty among people that allowed this kind

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Speaker 1: of thinking to proliferate. And I think when you look

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Speaker 1: at you know the numbers, right, measles on a continuum

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Speaker 1: is much more dangerous than vaccines are when if you

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Speaker 1: contract the measles versus like the possibility of some kind

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Speaker 1: of vaccine injury. And I think they point to these

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Speaker 1: small cases because millions of people get vaccinated, and you

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Speaker 1: can point because of the number the size of the group.

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Speaker 1: You're like, look at all these injuries, right, or this

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Speaker 1: is our perceived injuries. Yeah, that's like scientology like claims

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Speaker 1: they have like millions of people in their congregation when

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Speaker 1: they actually only have like two hundred thousand. They're like

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Speaker 1: like totally a lie about all the numbers. It's scary though,

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Speaker 1: about vaccination. Like I am from Orange County and when

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Speaker 1: I go back there, you look at this as like

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Speaker 1: something that's a total common sense issue, and like I

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Speaker 1: said something like I was like out of a party

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Speaker 1: and um, a lot of my brothers who are a

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Speaker 1: little older than me, like everyone has babies, and I

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Speaker 1: was like, dude, who would not vaccinated a kid? Like

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Speaker 1: that's the worst thing you could ever do? How could

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Speaker 1: you not know that? And my brother was like, Blair,

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Speaker 1: there's like plenty of here. There's like people here that

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Speaker 1: don't vaccinate their kids. And I was like, how is

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00:23:55,320 --> 00:23:57,879
Speaker 1: that even possible? And now people do it on the

427
00:23:57,960 --> 00:24:01,439
Speaker 1: low to like there's actually like to think like people

428
00:24:01,520 --> 00:24:04,600
Speaker 1: I know but aren't like vaccine their kids in Orange

429
00:24:04,600 --> 00:24:07,280
Speaker 1: County Like that's not like, uh well, it's just like

430
00:24:07,320 --> 00:24:09,600
Speaker 1: I think you know a lot of people because again,

431
00:24:10,000 --> 00:24:12,960
Speaker 1: there are a lot of scary examples that that just

432
00:24:13,000 --> 00:24:15,320
Speaker 1: speak to the fear and people that allows people to

433
00:24:15,359 --> 00:24:17,159
Speaker 1: be like, oh, well, I don't it's the it's the

434
00:24:17,560 --> 00:24:21,639
Speaker 1: perceived potential for form. That is an important thing that

435
00:24:21,680 --> 00:24:24,840
Speaker 1: I didn't really realize until I started doing research on this,

436
00:24:24,960 --> 00:24:29,000
Speaker 1: that you know, there are cases where getting a vaccine

437
00:24:29,440 --> 00:24:33,720
Speaker 1: like has it's like one in two thousand times a

438
00:24:33,800 --> 00:24:36,359
Speaker 1: kid will have a negative reaction to a vaccine. They

439
00:24:36,440 --> 00:24:39,040
Speaker 1: won't like have autism or something like that, but they'll

440
00:24:39,080 --> 00:24:45,160
Speaker 1: have some negative reaction. And so the absolute like safest

441
00:24:45,240 --> 00:24:48,679
Speaker 1: way to go about things for your kid is have

442
00:24:48,840 --> 00:24:51,920
Speaker 1: everybody else be vaccinated and your kid doesn't get vaccinated

443
00:24:51,960 --> 00:24:54,200
Speaker 1: because they're missing out on that one out of two

444
00:24:54,200 --> 00:24:57,880
Speaker 1: thousand chance that they have a negative reaction and everybody

445
00:24:57,880 --> 00:25:00,920
Speaker 1: else is vaccinated, so you don't need to. But that

446
00:25:01,320 --> 00:25:03,719
Speaker 1: is the most selfish fucking thing you can do, because

447
00:25:03,760 --> 00:25:06,800
Speaker 1: then that doesn't work if everybody does that. Yeah, there

448
00:25:06,840 --> 00:25:11,000
Speaker 1: are people posting, like, like secretly pulling posts from Facebook

449
00:25:11,040 --> 00:25:13,479
Speaker 1: of parents who are anti factors who have been like

450
00:25:13,720 --> 00:25:16,800
Speaker 1: have basically ended up getting sick or their kids are

451
00:25:17,040 --> 00:25:19,119
Speaker 1: and there's a lot of people like it's it almost

452
00:25:19,119 --> 00:25:21,840
Speaker 1: seems common sense you're like, like, I didn't vaccinate my

453
00:25:21,920 --> 00:25:25,119
Speaker 1: child and now we both have like protessis it's like,

454
00:25:25,160 --> 00:25:29,119
Speaker 1: I feel so guilty, what do I do? And you

455
00:25:29,119 --> 00:25:31,959
Speaker 1: missed your opportunity to do something about it. But again,

456
00:25:32,359 --> 00:25:34,760
Speaker 1: it's just a really weird thing to me because it

457
00:25:34,880 --> 00:25:38,120
Speaker 1: really takes this distrust of science for you to have

458
00:25:38,160 --> 00:25:40,560
Speaker 1: to take this first step into being like, no, I'm

459
00:25:40,600 --> 00:25:42,840
Speaker 1: working with this right. I feel like a lot of

460
00:25:42,880 --> 00:25:46,439
Speaker 1: those people are just a little nutty too, I'm sorry,

461
00:25:46,560 --> 00:25:49,960
Speaker 1: Like they don't like don't believe in climate change or

462
00:25:50,040 --> 00:25:52,800
Speaker 1: just like wacky ship that's like, but they are the

463
00:25:52,920 --> 00:25:56,000
Speaker 1: type of people who will believe in climate change, but

464
00:25:56,160 --> 00:25:58,880
Speaker 1: they won't. It's it's a weird because it's a lot

465
00:25:58,880 --> 00:26:02,320
Speaker 1: of people to the very far left who don't vaccinate

466
00:26:03,000 --> 00:26:05,160
Speaker 1: and very far to the right, But there's also people

467
00:26:05,160 --> 00:26:08,639
Speaker 1: on the far left who are like, you know, I

468
00:26:08,680 --> 00:26:12,119
Speaker 1: believe in alternative medicine, and I you know, like the

469
00:26:12,200 --> 00:26:15,480
Speaker 1: sorts of people who you encounter in like Venice or

470
00:26:15,520 --> 00:26:18,320
Speaker 1: Santa Monica. When I lived there and I had the

471
00:26:18,359 --> 00:26:21,480
Speaker 1: same issue where I was like talking about antivaxers being

472
00:26:21,520 --> 00:26:25,120
Speaker 1: crazy and this mom was like, well, I'm not an antivaxer.

473
00:26:25,240 --> 00:26:26,800
Speaker 1: But I do believe that we should be able to

474
00:26:26,800 --> 00:26:30,840
Speaker 1: space the vaccinations out, which is like anti vax are light.

475
00:26:32,119 --> 00:26:35,080
Speaker 1: But it's still like because we don't know what doing

476
00:26:35,119 --> 00:26:38,360
Speaker 1: them bundling them all together does. There's like a doctor

477
00:26:38,440 --> 00:26:43,119
Speaker 1: who is in the southern California area who specializes in

478
00:26:43,640 --> 00:26:47,240
Speaker 1: teaching people how to do safe vaccines because he knows

479
00:26:47,280 --> 00:26:50,200
Speaker 1: that there's this fear out there. And so yeah, it's

480
00:26:50,200 --> 00:26:53,680
Speaker 1: like that it gives it's so sad and makes me

481
00:26:54,160 --> 00:26:57,400
Speaker 1: bums me out about humanity to think of like so

482
00:26:57,440 --> 00:27:01,560
Speaker 1: many people in the medical profession like profiting off of

483
00:27:01,640 --> 00:27:06,360
Speaker 1: people's fear concerns. And I mean there's like it can

484
00:27:06,400 --> 00:27:08,920
Speaker 1: be very confusing. There's a lot of information out there.

485
00:27:09,440 --> 00:27:13,200
Speaker 1: If you can watch a video about vaccination, and it'll

486
00:27:13,240 --> 00:27:18,879
Speaker 1: be like scientists from Johns Hopkins University Medical School, and

487
00:27:19,320 --> 00:27:21,080
Speaker 1: you know, they're first of all, the video that I

488
00:27:21,160 --> 00:27:25,119
Speaker 1: found is of them describing it is they're they're not

489
00:27:25,160 --> 00:27:29,359
Speaker 1: good at communicating their message. It's like reading a scientific paper, um,

490
00:27:29,440 --> 00:27:33,800
Speaker 1: but they're talking about this study on vaccination. The comments

491
00:27:33,800 --> 00:27:36,920
Speaker 1: are full of people being like how dare you? Like

492
00:27:37,160 --> 00:27:40,080
Speaker 1: you've sold your soul for profit and stuff. Like that,

493
00:27:40,400 --> 00:27:43,640
Speaker 1: and then one of the up next videos is the

494
00:27:43,880 --> 00:27:48,400
Speaker 1: anti bactor's verse people who believe in vaccines videos. But

495
00:27:48,520 --> 00:27:51,320
Speaker 1: it can be very confusing. There's all the both sides

496
00:27:51,440 --> 00:27:54,880
Speaker 1: is um. But here's just an easy test. Guys, if

497
00:27:54,960 --> 00:28:00,320
Speaker 1: the Internet research agency from Russia is backing your side,

498
00:28:00,560 --> 00:28:03,520
Speaker 1: is lying to people, is seating the internet with your

499
00:28:03,640 --> 00:28:06,560
Speaker 1: point of view, you need to take a deeper look

500
00:28:06,640 --> 00:28:09,960
Speaker 1: at your point of view. It's not it's probably not

501
00:28:10,119 --> 00:28:12,800
Speaker 1: good for the country where Russian spies have been like, oh,

502
00:28:12,840 --> 00:28:15,360
Speaker 1: here's the way to fun with somebody, Like, we're gonna

503
00:28:15,400 --> 00:28:18,800
Speaker 1: take someone's uneven footing on something that most people gree

504
00:28:18,840 --> 00:28:22,600
Speaker 1: our factors has some kind of factual basis and we're unexploited. Right,

505
00:28:23,080 --> 00:28:27,959
Speaker 1: So yeah, good rule of thumb. Let's talk about something

506
00:28:28,040 --> 00:28:37,320
Speaker 1: like like anti semitism accusations to anti Semitism, semitisms, anti Semitisms.

507
00:28:37,680 --> 00:28:43,280
Speaker 1: So there's been a controversy with Representative Ilhan Omar basically

508
00:28:43,360 --> 00:28:46,800
Speaker 1: being taken to task over a tweet where her language

509
00:28:46,920 --> 00:28:51,200
Speaker 1: seemed to call to mind some standard anti Semitic tropes

510
00:28:51,280 --> 00:28:55,280
Speaker 1: when she said that the politicians support for Israel is

511
00:28:55,280 --> 00:28:59,440
Speaker 1: all about the Benjamin's and that kind of ties in

512
00:28:59,480 --> 00:29:06,640
Speaker 1: with a longstanding anti Semitic trope about Zionist controlling government. Yeah. Yeah,

513
00:29:06,680 --> 00:29:08,920
Speaker 1: she's talking about a pack, right, She's talking about a

514
00:29:09,080 --> 00:29:12,960
Speaker 1: pack and the American Israel Public Affairs Committee, right, and

515
00:29:13,080 --> 00:29:16,560
Speaker 1: they are a very powerful lobbying group. Somebody was like,

516
00:29:16,920 --> 00:29:19,800
Speaker 1: I'd like to see who you think is paying these

517
00:29:19,880 --> 00:29:23,280
Speaker 1: politicians and she was like, oh, a pack. Like she

518
00:29:23,480 --> 00:29:25,480
Speaker 1: just straight up was like, this is who I believe.

519
00:29:25,960 --> 00:29:29,720
Speaker 1: But this is a thing that is being like Jeremy

520
00:29:29,760 --> 00:29:32,480
Speaker 1: Corbin has been attacked for being anti Semitic. He's the

521
00:29:32,600 --> 00:29:38,000
Speaker 1: Labor Party leader who won a surprising election in England

522
00:29:38,440 --> 00:29:42,600
Speaker 1: last year. And then because AOC talked to Jeremy Cormandan

523
00:29:42,920 --> 00:29:47,520
Speaker 1: and had like a public forum conversation with him, she's

524
00:29:47,640 --> 00:29:51,600
Speaker 1: being like asked about like whether she should be doing

525
00:29:51,640 --> 00:29:54,640
Speaker 1: that and whether she is anti Semitic. So it's a

526
00:29:54,640 --> 00:29:58,440
Speaker 1: way that people on the right are attacking people on

527
00:29:58,480 --> 00:30:02,239
Speaker 1: the left h center left too, and people on the

528
00:30:02,240 --> 00:30:05,200
Speaker 1: center left are also attacking people on the left because

529
00:30:05,240 --> 00:30:09,240
Speaker 1: we're this whole thing is around conflating criticism of Israel's

530
00:30:09,280 --> 00:30:14,320
Speaker 1: policies with being hatred towards Jewish people, and it's that's

531
00:30:14,400 --> 00:30:18,000
Speaker 1: not the case when you're talking about the actions of

532
00:30:18,120 --> 00:30:21,280
Speaker 1: Israel and the apartheid there and the blockade and Gaza

533
00:30:21,320 --> 00:30:24,520
Speaker 1: and all this other things and the settlements, just those

534
00:30:24,560 --> 00:30:27,440
Speaker 1: policies that are costing people their lives. It's a criticism

535
00:30:27,480 --> 00:30:30,800
Speaker 1: of those policies. Not all Jews are this or that

536
00:30:30,960 --> 00:30:33,800
Speaker 1: some kind of weird, problematic stereotype. UM And I think

537
00:30:33,840 --> 00:30:36,400
Speaker 1: a lot of people don't realize that APAC was born

538
00:30:36,520 --> 00:30:40,080
Speaker 1: out of a a need to begin to spin the

539
00:30:40,120 --> 00:30:43,120
Speaker 1: actions of Israel in the United States because in there,

540
00:30:43,120 --> 00:30:46,240
Speaker 1: in this small town of Kabia, there was a massacre

541
00:30:46,360 --> 00:30:49,640
Speaker 1: that occurred where Israeli soldiers there was a very disproportionate

542
00:30:50,040 --> 00:30:52,920
Speaker 1: what some people descried as a casual mass murder uh

543
00:30:52,960 --> 00:30:55,680
Speaker 1: in response to an Israeli woman and child being killed

544
00:30:55,680 --> 00:30:58,440
Speaker 1: by Palestinian And they realized that the outcry in the

545
00:30:58,480 --> 00:31:00,880
Speaker 1: United States like what is going on? And we're supporting this?

546
00:31:01,880 --> 00:31:03,680
Speaker 1: A few people were like, I think we need to

547
00:31:03,680 --> 00:31:06,479
Speaker 1: figure out a way to begin to create a united

548
00:31:06,480 --> 00:31:10,480
Speaker 1: front the United States and connecting American Jews to support

549
00:31:10,520 --> 00:31:13,600
Speaker 1: the actions of Israel and to kind of basically inoculate

550
00:31:13,640 --> 00:31:16,680
Speaker 1: the United States people to sort of not have a

551
00:31:16,760 --> 00:31:20,160
Speaker 1: negative look at these kinds of actions. Yeah, and Israel

552
00:31:20,520 --> 00:31:24,640
Speaker 1: like for context, Israel is at its most far right

553
00:31:24,720 --> 00:31:28,280
Speaker 1: like it is being right now controlled by its equivalent

554
00:31:28,440 --> 00:31:31,960
Speaker 1: of the Trump administration or you know, the George W.

555
00:31:32,040 --> 00:31:35,640
Speaker 1: Bush administration. It is like has been controlled and is

556
00:31:35,680 --> 00:31:39,640
Speaker 1: being controlled by the like furthest right. So uh, that's

557
00:31:39,640 --> 00:31:41,440
Speaker 1: why you see a lot of people on the right

558
00:31:41,520 --> 00:31:44,600
Speaker 1: now taking up this idea of well, if you criticize them,

559
00:31:44,640 --> 00:31:48,920
Speaker 1: you're anti Semitic, because then you know that allows them

560
00:31:49,040 --> 00:31:52,400
Speaker 1: and their ally to get away with enforcing some very

561
00:31:52,480 --> 00:31:56,880
Speaker 1: very conservative and warlike policies. I think that's why I

562
00:31:56,960 --> 00:31:59,880
Speaker 1: like when you look at this right younger people look

563
00:32:00,080 --> 00:32:04,520
Speaker 1: at the whole issue a little more holistically, because support

564
00:32:04,520 --> 00:32:07,160
Speaker 1: for Israel for young people is I think an economist

565
00:32:07,280 --> 00:32:10,480
Speaker 1: poll from and found people eighteen to twenty nine only

566
00:32:10,520 --> 00:32:15,200
Speaker 1: about a quarter of respond it's considered Israel even an ally.

567
00:32:15,280 --> 00:32:17,240
Speaker 1: And when you go from there to like you said,

568
00:32:17,520 --> 00:32:20,720
Speaker 1: the current government with Ness and Yahoo, it runs in

569
00:32:20,760 --> 00:32:23,600
Speaker 1: conflict with American Jews, who tend to be very liberal

570
00:32:23,840 --> 00:32:27,560
Speaker 1: and secular. So there's also already like even Jews, they said,

571
00:32:27,560 --> 00:32:30,160
Speaker 1: there was another poll about American Jews who are voting

572
00:32:30,160 --> 00:32:32,400
Speaker 1: I think only about four percent said that that factors

573
00:32:32,400 --> 00:32:35,560
Speaker 1: into who they vote for. So there's a we're starting

574
00:32:35,560 --> 00:32:37,840
Speaker 1: to see. I mean, look, ilhan Omar caught a lot

575
00:32:37,880 --> 00:32:40,680
Speaker 1: of heat and all about the Benjamin thing. This this

576
00:32:41,280 --> 00:32:43,080
Speaker 1: like you're you're opening yourself up to somebody to be

577
00:32:43,080 --> 00:32:45,040
Speaker 1: able to mischaracterize what you're trying to say. I think

578
00:32:45,080 --> 00:32:47,080
Speaker 1: that could have been described a little bit better. But

579
00:32:47,240 --> 00:32:49,640
Speaker 1: what this has done, though, it's brought a pack in

580
00:32:49,720 --> 00:32:51,880
Speaker 1: the idea of like we're now having to have a

581
00:32:51,920 --> 00:32:54,840
Speaker 1: conversation of like, is there a way to actually, when

582
00:32:54,880 --> 00:32:58,320
Speaker 1: an open eyed, open hearted way, begin to discuss the

583
00:32:58,360 --> 00:33:00,600
Speaker 1: actions of Israel in a way that isn't immediately going

584
00:33:00,640 --> 00:33:03,800
Speaker 1: to be spun into anti Semitism, right, Yeah, And I

585
00:33:03,800 --> 00:33:07,040
Speaker 1: mean there has to be I think it's a reasonable

586
00:33:07,160 --> 00:33:10,320
Speaker 1: objection to be like, look, we don't want Israel or

587
00:33:10,440 --> 00:33:13,520
Speaker 1: the Israeli people or you know, Jewish people to be

588
00:33:13,560 --> 00:33:17,440
Speaker 1: accused of like having some secret conspiracy where they control

589
00:33:17,480 --> 00:33:20,880
Speaker 1: the media. We don't want it to be like made

590
00:33:21,120 --> 00:33:23,840
Speaker 1: into like you have to be able to acknowledge that

591
00:33:24,040 --> 00:33:27,600
Speaker 1: there's money involved and that lobbying exists, but to just

592
00:33:27,760 --> 00:33:32,080
Speaker 1: like blindly be like, well, we know what it's really motivated, right,

593
00:33:32,120 --> 00:33:34,520
Speaker 1: it can be a little bit you you just can't

594
00:33:34,520 --> 00:33:39,200
Speaker 1: be glib when talking about like Israel and is motivation

595
00:33:39,320 --> 00:33:43,120
Speaker 1: just have to be like detailed and specific. And again

596
00:33:43,200 --> 00:33:45,200
Speaker 1: Trump was like and pens Are like, oh, she should

597
00:33:45,240 --> 00:33:47,000
Speaker 1: resign or Pencil was like, well she should be taken

598
00:33:47,040 --> 00:33:49,440
Speaker 1: off the Foreign Fairs Committee or whatever, and she clapp acts.

599
00:33:49,440 --> 00:33:52,280
Speaker 1: She was like, I'm sorry, President Trump. You deal in

600
00:33:52,360 --> 00:33:54,640
Speaker 1: all kinds of racist bigotry all the time. You even

601
00:33:54,680 --> 00:33:58,280
Speaker 1: say shit about Jewish people that it could be seen

602
00:33:58,480 --> 00:34:02,000
Speaker 1: as dealing with anti Semitic, deeply anti Semitic tropes. He

603
00:34:02,080 --> 00:34:06,240
Speaker 1: has been associated with very He's literally only anti hate

604
00:34:06,280 --> 00:34:11,839
Speaker 1: when it serves his a. Yeah, and he is like,

605
00:34:11,960 --> 00:34:14,640
Speaker 1: on the flip side of that, he is unwilling to

606
00:34:14,760 --> 00:34:19,560
Speaker 1: dissociate himself with like legitimate anti Semis who are like

607
00:34:19,719 --> 00:34:23,279
Speaker 1: think Jewish people should be killed, Like that's that's a

608
00:34:23,320 --> 00:34:26,320
Speaker 1: big chunk of his support. Good people on both sides,

609
00:34:26,440 --> 00:34:30,799
Speaker 1: right exactly, So they're anti Semitism is a real thing.

610
00:34:30,880 --> 00:34:34,840
Speaker 1: It's an incredibly dangerous thing. It exists around the world.

611
00:34:35,440 --> 00:34:39,680
Speaker 1: But using it as like a way to push back

612
00:34:39,719 --> 00:34:45,360
Speaker 1: criticism of aggressively conservative and violent policies by the Israeli

613
00:34:45,440 --> 00:34:49,880
Speaker 1: state is probably that's not good for Jewish people in general,

614
00:34:50,040 --> 00:34:53,719
Speaker 1: and it's not good for you know, the way that

615
00:34:53,760 --> 00:34:56,400
Speaker 1: we have this conversation. I'm curious for the people who

616
00:34:56,480 --> 00:34:59,400
Speaker 1: are immediately jumped to the conclusion that criticism of Israel's

617
00:34:59,440 --> 00:35:03,040
Speaker 1: anti semit Is there anything that they can honestly say

618
00:35:03,239 --> 00:35:06,680
Speaker 1: concede a point that is a real criticism of their policy.

619
00:35:07,600 --> 00:35:09,640
Speaker 1: What those people ever say anything, Because I don't think

620
00:35:09,680 --> 00:35:12,560
Speaker 1: a lot of politicians who immediately jumped to those conclusions

621
00:35:13,000 --> 00:35:15,480
Speaker 1: can say things that would actually be like a you know,

622
00:35:15,840 --> 00:35:19,200
Speaker 1: like I said, an even handed criticism of or objective

623
00:35:19,440 --> 00:35:23,080
Speaker 1: analysis of the foreign policy and with a pack right

624
00:35:23,080 --> 00:35:25,440
Speaker 1: when when they talk about the money, it's not that

625
00:35:25,440 --> 00:35:28,600
Speaker 1: that they're paying politicians to say, you love Israel, here's

626
00:35:28,600 --> 00:35:30,960
Speaker 1: your money, here's your little fee. It's about like any

627
00:35:31,040 --> 00:35:33,960
Speaker 1: lobbying organizations like the n r A or fossil fuels,

628
00:35:34,000 --> 00:35:37,239
Speaker 1: if you're out here talking spicy about their industry, they

629
00:35:37,239 --> 00:35:39,680
Speaker 1: will put money into campaigns that are going to be

630
00:35:39,760 --> 00:35:42,320
Speaker 1: against you, that that will spend money against you, and

631
00:35:42,360 --> 00:35:45,920
Speaker 1: if you're supportive, they will fund operations that will support you.

632
00:35:46,200 --> 00:35:48,080
Speaker 1: So it's not that the money moves and like, let

633
00:35:48,080 --> 00:35:49,840
Speaker 1: me cut you a check for saying this. It's that

634
00:35:49,960 --> 00:35:52,680
Speaker 1: the forces because of a lot how lobbying works, that

635
00:35:52,880 --> 00:35:54,520
Speaker 1: if you stick your head out of the trenches and

636
00:35:54,560 --> 00:35:57,520
Speaker 1: have a hot take criticizing Israel, it's like, oh, well,

637
00:35:57,560 --> 00:36:00,239
Speaker 1: you will notice very quickly that money will be poured

638
00:36:00,320 --> 00:36:02,520
Speaker 1: into an opponent or some kind of other campaign or

639
00:36:02,560 --> 00:36:05,879
Speaker 1: opposition research to try and begin to destabilize your your

640
00:36:05,920 --> 00:36:09,320
Speaker 1: seat in office or whatever. So you know, I think again,

641
00:36:09,520 --> 00:36:12,040
Speaker 1: I'm these are the kinds of conversations that need to

642
00:36:12,080 --> 00:36:16,040
Speaker 1: begin happening, because I think in general, young people have

643
00:36:16,200 --> 00:36:18,720
Speaker 1: a different view on what is happening in the region

644
00:36:19,000 --> 00:36:24,080
Speaker 1: than much older conservatives do, and and even older people

645
00:36:24,120 --> 00:36:27,760
Speaker 1: who are center left. Yeah, exactly. And as we discussed,

646
00:36:27,800 --> 00:36:30,560
Speaker 1: I think it's important to realize that you can't talk

647
00:36:30,640 --> 00:36:33,799
Speaker 1: about a peck and Israel the same way you would

648
00:36:33,800 --> 00:36:35,960
Speaker 1: talk about the n r A. You would want to

649
00:36:36,000 --> 00:36:40,719
Speaker 1: be more careful and think about historic tropes, because, like

650
00:36:40,760 --> 00:36:42,759
Speaker 1: we said, anti Semitism is a real things, So you

651
00:36:42,800 --> 00:36:46,359
Speaker 1: just have to be more specific and more kind of

652
00:36:47,120 --> 00:36:52,439
Speaker 1: cogent of all of the history that exists. Right, Let's

653
00:36:52,440 --> 00:36:56,680
Speaker 1: talk about Amazon, you guys, Amazon bailed the HQ two

654
00:36:56,880 --> 00:36:59,560
Speaker 1: piece out. It's just out Long Island City. Now you

655
00:36:59,600 --> 00:37:02,799
Speaker 1: see what you did? You see, New York, you do

656
00:37:02,880 --> 00:37:06,000
Speaker 1: the nice thing and offer one of the biggest companies

657
00:37:06,000 --> 00:37:09,440
Speaker 1: on Earth three billion dollar giveaway in taxes and ship

658
00:37:10,040 --> 00:37:13,399
Speaker 1: and then misread the room when locals are getting really

659
00:37:13,480 --> 00:37:16,440
Speaker 1: upset about that. Yeah, so I was not able to

660
00:37:16,600 --> 00:37:19,400
Speaker 1: fully catch up on this. How How did like, was

661
00:37:19,440 --> 00:37:22,400
Speaker 1: it actually the protest that that actually well, there was

662
00:37:22,440 --> 00:37:25,920
Speaker 1: like there was a united front of New York politicians

663
00:37:25,960 --> 00:37:28,600
Speaker 1: who were like, this is fucked, and they were pushing

664
00:37:28,600 --> 00:37:30,480
Speaker 1: back a lot. And I think Amazon at one point

665
00:37:30,480 --> 00:37:32,279
Speaker 1: was sort of testing the wine like well we could

666
00:37:32,360 --> 00:37:35,000
Speaker 1: leave all you know you for that to happen, and

667
00:37:35,000 --> 00:37:37,400
Speaker 1: they were like yeah, all right, yeah, then what and

668
00:37:37,400 --> 00:37:39,759
Speaker 1: then they're like, oh, fuck, Like this isn't gonna this

669
00:37:39,800 --> 00:37:42,200
Speaker 1: isn't gonna end. And yes, I think a lot of people,

670
00:37:42,719 --> 00:37:46,080
Speaker 1: especially activists, who were opposed to Amazon coming through and

671
00:37:46,120 --> 00:37:48,520
Speaker 1: wrecking the city. Uh, this is definitely a victory for

672
00:37:48,560 --> 00:37:52,319
Speaker 1: them because I mean, going up against a multinational, gigantic

673
00:37:52,400 --> 00:37:56,200
Speaker 1: behemoth like Amazon, you're like, you think it's a foregone conclusion. Yeah.

674
00:37:56,320 --> 00:37:58,480
Speaker 1: At the same time, the way it's being covered by

675
00:37:58,600 --> 00:38:02,759
Speaker 1: the politicos of the world. Is Amazon to New York

676
00:38:03,200 --> 00:38:06,280
Speaker 1: dropped dead. That's the headline on the front page of Politico.

677
00:38:06,520 --> 00:38:10,480
Speaker 1: So it's like Amazon screws new York, is how it's

678
00:38:10,520 --> 00:38:13,160
Speaker 1: being read in a lot of the mainstream media. Dumped

679
00:38:13,239 --> 00:38:16,880
Speaker 1: New York before they could get dumped. What a fortnite

680
00:38:16,920 --> 00:38:21,960
Speaker 1: for Jeff Bezos, I know exactly what a time? What

681
00:38:22,040 --> 00:38:25,839
Speaker 1: a time to Jeff Bezos. I mean you think, right,

682
00:38:26,080 --> 00:38:28,080
Speaker 1: I don't understand still, like why it ended up in

683
00:38:28,080 --> 00:38:30,560
Speaker 1: New York when again, the whole thing was a little

684
00:38:30,600 --> 00:38:33,400
Speaker 1: weird when it was like, what's what city is gonna

685
00:38:33,600 --> 00:38:36,360
Speaker 1: beg us the hardest for us to come here to

686
00:38:36,440 --> 00:38:39,279
Speaker 1: save their dying town only to go to New York

687
00:38:39,760 --> 00:38:43,440
Speaker 1: like a city that is not in the process of deteriorating.

688
00:38:43,680 --> 00:38:46,120
Speaker 1: They're like many other cities I could have actually benefited

689
00:38:46,160 --> 00:38:49,240
Speaker 1: from it, right. You would think that if their plan

690
00:38:49,560 --> 00:38:53,399
Speaker 1: was to bend the city over a barrel and just

691
00:38:53,719 --> 00:38:56,360
Speaker 1: you know, fuck them for all the money that they

692
00:38:56,400 --> 00:38:59,719
Speaker 1: possibly could, that they would have chosen somebody with less

693
00:38:59,760 --> 00:39:03,880
Speaker 1: of a strong bargaining position in New York City and

694
00:39:03,960 --> 00:39:06,640
Speaker 1: citizens who are very aware of like the effect of it.

695
00:39:06,840 --> 00:39:10,719
Speaker 1: But that. That's what I was gathering from third hand

696
00:39:10,760 --> 00:39:14,480
Speaker 1: pundits on Twitter. Was that like because it was the

697
00:39:14,520 --> 00:39:19,200
Speaker 1: whole bidding process, right was. I mean like all fake

698
00:39:19,280 --> 00:39:22,040
Speaker 1: as bidding wars was just meant to like drive up

699
00:39:22,080 --> 00:39:25,600
Speaker 1: the you know, give them leverage, like invent leverage essentially

700
00:39:25,719 --> 00:39:30,160
Speaker 1: like what consessions because obviously no fucking person who is

701
00:39:30,280 --> 00:39:33,680
Speaker 1: like has any power or money at Amazon wants to

702
00:39:33,719 --> 00:39:37,080
Speaker 1: live anywhere besides one of four cities in the United States.

703
00:39:37,280 --> 00:39:38,920
Speaker 1: It's not like they're going to hold like open this

704
00:39:38,960 --> 00:39:42,000
Speaker 1: place in Wichita or whatever. That's why it's HQ two

705
00:39:42,239 --> 00:39:45,600
Speaker 1: and that main h Q. Right the lesser people work there.

706
00:39:45,600 --> 00:39:47,879
Speaker 1: I don't know what, I don't know. But even then

707
00:39:48,080 --> 00:39:51,120
Speaker 1: right like yeah, like it's like they're they're never going

708
00:39:51,160 --> 00:39:54,719
Speaker 1: to go to like you know, some some right wing

709
00:39:54,800 --> 00:39:57,200
Speaker 1: tax haven or whatever, despite you know, because it's like

710
00:39:57,239 --> 00:39:59,400
Speaker 1: no one fucking wants to live in those like backwards

711
00:39:59,440 --> 00:40:01,320
Speaker 1: as places, so it was always going to be someplace

712
00:40:01,400 --> 00:40:04,440
Speaker 1: like New York. So they had to pretend like we

713
00:40:04,560 --> 00:40:07,120
Speaker 1: might not bring it to New York. Well, I mean, look,

714
00:40:07,160 --> 00:40:09,000
Speaker 1: Bezos could have been the fucking King of New York

715
00:40:09,040 --> 00:40:10,840
Speaker 1: if he had been like I don't need three billion

716
00:40:10,840 --> 00:40:13,160
Speaker 1: dollars from y'all. I'll do this anyway, and guess what,

717
00:40:13,280 --> 00:40:16,359
Speaker 1: I'll bless the m t ae like some ship and

718
00:40:16,400 --> 00:40:18,839
Speaker 1: fix your subway something like that, like and then get

719
00:40:18,840 --> 00:40:20,960
Speaker 1: people more on board, but instead coming in be like

720
00:40:20,960 --> 00:40:22,239
Speaker 1: give me this, give me that, give me that. Oh,

721
00:40:22,280 --> 00:40:26,840
Speaker 1: I might make your housing market even more impossible. Yeah,

722
00:40:27,040 --> 00:40:29,560
Speaker 1: you know weird. It's almost like tech people are just

723
00:40:29,680 --> 00:40:32,040
Speaker 1: people that had like one kind of good idea at

724
00:40:32,040 --> 00:40:35,279
Speaker 1: a time when the barrier for that was very low.

725
00:40:35,360 --> 00:40:37,879
Speaker 1: But actually they're just as shortsighted as any other type

726
00:40:37,880 --> 00:40:40,600
Speaker 1: of business part you become. You don't become a billionaire

727
00:40:40,600 --> 00:40:44,880
Speaker 1: by having empathy for large groups of people and deciding

728
00:40:44,920 --> 00:40:48,480
Speaker 1: to do do right by society. You become a billionaire

729
00:40:48,480 --> 00:40:53,920
Speaker 1: by finding a like huge imbalance and exploiting the ship

730
00:40:54,040 --> 00:40:56,360
Speaker 1: out of it over and over and over again until

731
00:40:56,440 --> 00:40:59,399
Speaker 1: you have all the money. And that's you know, that's

732
00:40:59,400 --> 00:41:01,840
Speaker 1: what he was trying to create with this whole process,

733
00:41:02,200 --> 00:41:05,439
Speaker 1: and he you know, once he had it, people were

734
00:41:05,480 --> 00:41:08,640
Speaker 1: like that doesn't seem okay, and he was like, fine,

735
00:41:08,680 --> 00:41:11,719
Speaker 1: then I'm taking my ball and going home. And you know,

736
00:41:11,840 --> 00:41:14,359
Speaker 1: I'm sure the rich are going to be like this

737
00:41:14,440 --> 00:41:18,120
Speaker 1: is just like Atlas shrugged. Dude, this is like, you know,

738
00:41:18,320 --> 00:41:20,760
Speaker 1: you funk with us. You don't let us do whatever

739
00:41:20,840 --> 00:41:22,640
Speaker 1: we want, And we're going to take our ball and

740
00:41:22,719 --> 00:41:25,560
Speaker 1: go home. And now we'll see how screwed you are.

741
00:41:25,800 --> 00:41:29,560
Speaker 1: By the way, it's like, please, billionaires, fuck off to

742
00:41:29,600 --> 00:41:32,879
Speaker 1: your gulch. Yeah, I love. I would love to see

743
00:41:32,880 --> 00:41:36,680
Speaker 1: you all leave your money behind them. Who cares. But

744
00:41:36,800 --> 00:41:39,960
Speaker 1: there's that group of millionaires and billionaires were like, please

745
00:41:39,960 --> 00:41:43,640
Speaker 1: take taxes because we know you're you'll probably come for

746
00:41:43,760 --> 00:41:49,080
Speaker 1: us with your pitchforks for forty years. Taxes, like the

747
00:41:49,120 --> 00:41:52,720
Speaker 1: top marginal rate of taxes is a like not going

748
00:41:52,760 --> 00:41:55,520
Speaker 1: to the guillotine payment, right right, that's what it is,

749
00:41:55,640 --> 00:41:58,799
Speaker 1: what it's for, right right? Oh, well you know chin

750
00:41:58,920 --> 00:42:02,120
Speaker 1: up bezos. Yeah, you know, hopefully we're covering from this one.

751
00:42:02,160 --> 00:42:06,759
Speaker 1: But yeah, AOC is now calling for the abolition of billionaires,

752
00:42:06,960 --> 00:42:10,359
Speaker 1: which seems like a good I mean, we gotta draw

753
00:42:10,400 --> 00:42:14,359
Speaker 1: a line somewhere. Why not make it a billion llion?

754
00:42:14,400 --> 00:42:17,960
Speaker 1: Seems like too much? Yeah, I think I think billions

755
00:42:17,960 --> 00:42:24,920
Speaker 1: too much. Be hontis too much, I think. But now

756
00:42:24,960 --> 00:42:30,359
Speaker 1: we're negotiating, alright, and now you got me to come

757
00:42:30,400 --> 00:42:33,239
Speaker 1: to the table. All right, we're gonna take a quick break.

758
00:42:33,280 --> 00:42:43,960
Speaker 1: We'll be right back, and we're back. I wanted to

759
00:42:44,080 --> 00:42:46,799
Speaker 1: check in with Newsweek real quick. They need to get

760
00:42:46,840 --> 00:42:51,440
Speaker 1: it fucking together. This is guys, I don't. It's time

761
00:42:51,480 --> 00:42:53,719
Speaker 1: to take a look at yourself. On Twitter, Reddit, this

762
00:42:54,160 --> 00:42:56,719
Speaker 1: just headline went viral because when you clipped it out,

763
00:42:57,280 --> 00:43:01,240
Speaker 1: it was just saying snake bites man, man bites wife

764
00:43:01,400 --> 00:43:07,720
Speaker 1: so they can die together. Wife survives. Soud just off

765
00:43:07,800 --> 00:43:11,960
Speaker 1: the fucking headline. I'm questioning the science of and the

766
00:43:12,000 --> 00:43:15,040
Speaker 1: feasibility of a scenario in which I guess if you

767
00:43:15,080 --> 00:43:19,720
Speaker 1: love the transitive property, I'm bit by snake, I am snake,

768
00:43:20,120 --> 00:43:23,920
Speaker 1: I bite you, you are snake and zombie movie logic

769
00:43:24,320 --> 00:43:28,480
Speaker 1: or you know, right, the transitive property. But this article

770
00:43:28,520 --> 00:43:30,839
Speaker 1: goes on right, Let me just read the because it's

771
00:43:30,920 --> 00:43:33,560
Speaker 1: quick and it's absurd. It says a man in India

772
00:43:33,560 --> 00:43:35,400
Speaker 1: who was attacked by a poison's stake bit his wife's

773
00:43:35,480 --> 00:43:38,239
Speaker 1: risk because his final wish was for them to die together. Shankar, right,

774
00:43:38,320 --> 00:43:41,240
Speaker 1: was sleeping his home around sixty miles north blah blah blah.

775
00:43:41,280 --> 00:43:43,080
Speaker 1: He was attacked by a serpent. By the morning, his

776
00:43:43,120 --> 00:43:45,239
Speaker 1: condition had worse than Fearing he did not have much

777
00:43:45,280 --> 00:43:47,680
Speaker 1: time left, he held his wife's hand and said he

778
00:43:47,719 --> 00:43:49,920
Speaker 1: wanted them to be united in death. He sunk his

779
00:43:49,960 --> 00:43:52,359
Speaker 1: teeth into a risk so the venom would kill them both,

780
00:43:52,520 --> 00:43:56,160
Speaker 1: and they fell unconscious. India Today reported. Witnesses described how

781
00:43:56,160 --> 00:43:58,359
Speaker 1: doctors arrived and arrest of the hospital. Although the venom

782
00:43:58,400 --> 00:44:01,480
Speaker 1: claimed the life of Rye, his wife was rescued in time,

783
00:44:01,719 --> 00:44:06,880
Speaker 1: rescued from what his fucking dirty ass teeth and the

784
00:44:06,920 --> 00:44:09,560
Speaker 1: bacteria on his fucking front teeth. But that's the thing.

785
00:44:09,640 --> 00:44:13,440
Speaker 1: Newsweek does not even question that. They just accept the

786
00:44:13,520 --> 00:44:17,800
Speaker 1: logic of this India Today's story and they're just like, okay. Also,

787
00:44:18,000 --> 00:44:21,640
Speaker 1: I guess snake bites are passed on by bite. Also,

788
00:44:21,920 --> 00:44:24,680
Speaker 1: Human Newsweek had no link to the original articles. I

789
00:44:24,640 --> 00:44:27,799
Speaker 1: had to google that ship. This article is from yes

790
00:44:28,480 --> 00:44:31,840
Speaker 1: and they just published this ship. This is like fifty

791
00:44:31,920 --> 00:44:35,600
Speaker 1: different blog spam since rolled up in one. And there's

792
00:44:35,680 --> 00:44:40,160
Speaker 1: like like literal word for word, verbatim plagiarism happening in

793
00:44:40,160 --> 00:44:42,840
Speaker 1: this Newsweek right up to I don't know what happened.

794
00:44:42,840 --> 00:44:47,160
Speaker 1: Who's the author of the Newsweek? Brendan cole Brendan Cole

795
00:44:47,280 --> 00:44:49,560
Speaker 1: bro we caught you cheating on your homework, or maybe

796
00:44:49,560 --> 00:44:52,399
Speaker 1: you're just an algorithm, because these fucking news sites don't

797
00:44:52,520 --> 00:44:58,359
Speaker 1: hire humans anymore, and they're just like, let's just recycle, right,

798
00:44:59,400 --> 00:45:03,080
Speaker 1: I just I don't. I'm hoping there's maybe a magical

799
00:45:03,120 --> 00:45:07,839
Speaker 1: snake venomous saliva or something, because even the article when

800
00:45:07,880 --> 00:45:10,200
Speaker 1: they go they turn in the article to start talking

801
00:45:10,239 --> 00:45:12,439
Speaker 1: about snakes. I'm like, okay, maybe here's the part where

802
00:45:12,440 --> 00:45:14,319
Speaker 1: they explain how this is possible. They just go, like,

803
00:45:14,440 --> 00:45:16,920
Speaker 1: the World Health Organization says like a majority of venomus

804
00:45:16,920 --> 00:45:20,720
Speaker 1: snakes live in Southeast Asia. Oh okay, well that explain

805
00:45:21,440 --> 00:45:24,200
Speaker 1: what that means. I mean, I guess there's rabies, but

806
00:45:24,920 --> 00:45:28,839
Speaker 1: nobody has ever thought that snake venom is passed on

807
00:45:29,160 --> 00:45:35,359
Speaker 1: like rabies. Know what. It's just weird. It's just weird.

808
00:45:35,400 --> 00:45:37,720
Speaker 1: And I was really mesmerized by the head I laughed

809
00:45:38,200 --> 00:45:39,839
Speaker 1: because in my mind I was like, come on, bro,

810
00:45:40,200 --> 00:45:42,880
Speaker 1: she didn't. She didn't. Also, even the line where it

811
00:45:42,960 --> 00:45:44,840
Speaker 1: says he sunk his teeth into her wrist so the

812
00:45:44,920 --> 00:45:48,440
Speaker 1: venom would kill them and they fell unconscious stated with

813
00:45:48,480 --> 00:45:51,800
Speaker 1: no comments, and all those videos where you see somebody

814
00:45:51,840 --> 00:45:53,400
Speaker 1: in a street fight bite someone on the wrist and

815
00:45:53,400 --> 00:45:57,680
Speaker 1: they're knocked out right. Yeah the fuck? I I assume

816
00:45:57,800 --> 00:46:02,279
Speaker 1: she was just being nice or this story is made

817
00:46:02,400 --> 00:46:05,760
Speaker 1: up by India Today. Well they got it from Gulf News,

818
00:46:05,760 --> 00:46:07,200
Speaker 1: so then I had to take it to the next

819
00:46:07,280 --> 00:46:09,960
Speaker 1: level of the inception dream. And it was from a

820
00:46:10,000 --> 00:46:13,960
Speaker 1: website called Golf News and under their India section. And

821
00:46:14,000 --> 00:46:16,480
Speaker 1: again that was even like you could tell even the

822
00:46:16,480 --> 00:46:19,160
Speaker 1: India Today was ripping this article. So this is clearly

823
00:46:19,160 --> 00:46:21,520
Speaker 1: like viral marketing for scary stories to tell in the

824
00:46:21,560 --> 00:46:27,000
Speaker 1: dog I guess something I don't Andrew. I honestly think

825
00:46:27,360 --> 00:46:30,440
Speaker 1: the logic of this story is too stupid for scary

826
00:46:30,480 --> 00:46:34,160
Speaker 1: stories to tell them. I honestly believe that, like if

827
00:46:34,200 --> 00:46:39,600
Speaker 1: this happened in a children's like spooky story movie, people

828
00:46:39,640 --> 00:46:41,640
Speaker 1: would be like, wait, what the fun like that? But

829
00:46:41,719 --> 00:46:43,600
Speaker 1: that's not how snake bites work, Like this wouldn't work

830
00:46:43,640 --> 00:46:47,080
Speaker 1: in a Disney movie, even even Frozen two, which is

831
00:46:48,200 --> 00:46:51,600
Speaker 1: I think even a kids general curiosity they would They

832
00:46:51,640 --> 00:46:55,560
Speaker 1: would probably flag this after and be like, but how

833
00:46:55,640 --> 00:46:59,240
Speaker 1: did the snake? How did the man become a venom mouth?

834
00:47:00,160 --> 00:47:03,160
Speaker 1: As somebody with kids, I found that offensive. Your impression

835
00:47:03,200 --> 00:47:07,680
Speaker 1: of yeh kids are stupid. Bro. I'm sorry, but any

836
00:47:07,760 --> 00:47:12,040
Speaker 1: kid is smarter than this dumbass algorithm. Seriously. Yeah, we

837
00:47:12,120 --> 00:47:14,239
Speaker 1: try and find Brendon Cole on Twitter and just be like,

838
00:47:14,320 --> 00:47:18,160
Speaker 1: my man, what are you doing? Hire reporters. Zike Gang

839
00:47:18,400 --> 00:47:21,319
Speaker 1: talked to Brendon Cole, find him on Twitter, ask him.

840
00:47:21,520 --> 00:47:24,120
Speaker 1: Let's let's try and get comment from Brendan Cole about

841
00:47:24,160 --> 00:47:26,920
Speaker 1: what he was thinking. I'm sure he's gonna be like,

842
00:47:26,960 --> 00:47:30,200
Speaker 1: obviously we were doing it tongue in cheek, but no, man,

843
00:47:30,440 --> 00:47:32,800
Speaker 1: I also don't get out washed my hands in ten years.

844
00:47:34,360 --> 00:47:37,279
Speaker 1: To add to that super producer nixt stuff. The thing

845
00:47:37,360 --> 00:47:40,360
Speaker 1: he likes is that somehow the timing of the bite

846
00:47:40,400 --> 00:47:43,200
Speaker 1: was so perfect that the venom overcame the man who

847
00:47:43,280 --> 00:47:46,319
Speaker 1: was the original bite and then bit his wife in

848
00:47:46,360 --> 00:47:48,640
Speaker 1: such a way that she passed out at the same time.

849
00:47:48,719 --> 00:47:52,040
Speaker 1: Double knockouts that right, Yeah, yeah, like they bonked heads

850
00:47:52,120 --> 00:47:54,719
Speaker 1: together and both get knocked out or the end of

851
00:47:54,800 --> 00:47:57,840
Speaker 1: Rocky too. Wait what he bit her and they both

852
00:47:57,920 --> 00:48:02,360
Speaker 1: immediately and honestly, you you're gonna bite the ground. Yeah

853
00:48:02,400 --> 00:48:05,400
Speaker 1: that's right. I don't want to. I don't want to.

854
00:48:06,600 --> 00:48:09,320
Speaker 1: I don't want to jump to conclusions and I'm hoping

855
00:48:09,640 --> 00:48:12,160
Speaker 1: that there's some kind of reptile ologists in the Zeke

856
00:48:12,200 --> 00:48:15,600
Speaker 1: Gang who goes, actually there is a snake to make

857
00:48:15,719 --> 00:48:25,680
Speaker 1: your a reptile. I'm calling reptile dysfunction on this story. Okay,

858
00:48:26,040 --> 00:48:33,440
Speaker 1: I hate myself and yeah, ze Gang, the latent bomb

859
00:48:34,080 --> 00:48:37,879
Speaker 1: the latest latent bomb yet and deserved, Lisa. I mean,

860
00:48:37,880 --> 00:48:41,040
Speaker 1: just you know, a past article this this intrepid journalist

861
00:48:41,080 --> 00:48:44,560
Speaker 1: has written was tattoo is illegally split, tongue removed, nipple

862
00:48:44,719 --> 00:48:47,520
Speaker 1: in the ear. So so now we're gonna have to

863
00:48:47,560 --> 00:48:50,319
Speaker 1: call all of his work in question. I was I

864
00:48:50,360 --> 00:48:53,000
Speaker 1: was going around believing that story in my day to

865
00:48:53,040 --> 00:48:57,000
Speaker 1: day life. All right, that's gonna do it for this

866
00:48:57,080 --> 00:49:01,920
Speaker 1: week's weekly Zeitgeist. Please like and review the show. If

867
00:49:01,960 --> 00:49:05,360
Speaker 1: you like the show, uh means the world of Miles.

868
00:49:05,480 --> 00:49:09,880
Speaker 1: He needs your validation, folks. I hope you're having a

869
00:49:09,960 --> 00:49:57,840
Speaker 1: great weekend and I will talk to you Monday by

870
00:50:00,520 --> 00:50:02,200
Speaker 1: fourt