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Speaker 1: Hello the Internet, and welcome to season two sixty two,

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Speaker 1: episode one of dir Day Leys like Guys Day production

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Speaker 1: of I Heart Radio. This is a podcast where we

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Speaker 1: take a deep dive into America's share conscienness. About to

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Speaker 1: get a little bit more difficult to take a deep

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Speaker 1: dive because Twitter is going away. So I don't know

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Speaker 1: we're gonna blame in real research or some ship. Now,

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Speaker 1: I just go to parlor like gay Ones. That's where

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Speaker 1: the un is, right, that's where the real ships. And

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Speaker 1: you know what, listeners, you're gonna love the new sound

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Speaker 1: of this show. Okay, the following weeks we got some

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Speaker 1: we heard a lot of stuff we weren't really thinking about. Wow,

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Speaker 1: just new thoughts coming in completely, you know, ampithetical doll

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Speaker 1: of my movie. Hey Miles, it's Monday, November seven. Yeah,

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Speaker 1: I don't know why I'm saying that, Like Blake Shelton,

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Speaker 1: but what is that the Jews name from the Boys,

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Speaker 1: like yeah, who was like yeah, yeah, yeah, Hey, alright, man,

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Speaker 1: I like that. Uh. November seven International Merlough Day, National

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Speaker 1: Canine Lymphoma Awareness Day, and nationally this is really specific,

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Speaker 1: National Bitter Sweet Chocolate with Almonds Day. Yeah, I do

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Speaker 1: know that. I think that one was created by my mom.

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Speaker 1: Shout out to my mom. Really she she loves a

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Speaker 1: good bitter sweet chocolate. Oh shit, yeah, well I love that.

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Speaker 1: I love there must just be a strong, strong group

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Speaker 1: identity around that week. Yeah, I'm just like canine lymphoma

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Speaker 1: awariness day, like what this is new? Because I feel

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Speaker 1: like what in our parents age, they're just like, yeah,

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Speaker 1: I'm a vet for what? And then animals just like

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Speaker 1: we have like huge growths and they're like, oh, that's

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Speaker 1: Lumpy's bumped beast spine and they're like it's a tumor,

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Speaker 1: you know what I mean. And it's just it's just

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Speaker 1: funny how much with technolog the g and I guess

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Speaker 1: the ease of treatment. Now we're like, oh, because like

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Speaker 1: right now, my dog got a heart murmur. Before I

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Speaker 1: remember growing up, my dog probably had so much wrong

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Speaker 1: with it. But back then it was like God spends

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Speaker 1: right now because it talks. But now I don't know,

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Speaker 1: maybe my heart is bigger. I mean, you won't be

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Speaker 1: surprised to know that he had a heart murmur from

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Speaker 1: day one? Just did he was? He was he was

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Speaker 1: a medical miracle that he lasted. What was he on

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Speaker 1: the scale of six years four to six five out

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Speaker 1: of six. Oh, he would remember all the way, all

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Speaker 1: the oh ship, yeah, okay, anyway, So just it's just

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Speaker 1: interesting to think of, like how much more we think

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Speaker 1: about like our own animal care than like previous generations did,

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Speaker 1: because I'm like, the example I had was just let

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Speaker 1: it ride, But I get that now we have interventions. Yes, yes, yes.

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Speaker 1: We talked about the like really dark period in US

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Speaker 1: history right at the like I think it was when

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Speaker 1: the US first got into World War two where they

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Speaker 1: were like, okay, so what you have to do is

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Speaker 1: ration your dairy ration like other food stuffs, and execute

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Speaker 1: your dogs so they're not taking up any Yeah. There

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Speaker 1: was also a dog rationing like dog execution wave that

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Speaker 1: went around because they were just like they were taking

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Speaker 1: up too much, too much resources. Folks shout out to

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Speaker 1: the people who were like, you know what, let's just

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Speaker 1: wait to see how this goes. Before we start. Would

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Speaker 1: have been hiding my dog away. Anyways. My name is

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Speaker 1: Jack O'Brien, AKA, I'm gonna take a ship. Dumb dun't

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Speaker 1: dunt dunt dune. The Seven Nation Army couldn't hold this crap.

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Speaker 1: They're gonna baghead up. Dun't dun't dun't dun't dun't try

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Speaker 1: to sell it right up behind my back. And I'm

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Speaker 1: talking to myself night because I can't quite grasp if

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Speaker 1: they're selling vagina candles, why not sell some of my

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Speaker 1: mountain dew ass? Oh that was courtesy Alex Lugi, Mr

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Speaker 1: Lugubrious about a story that I wasn't here for. Yeah,

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Speaker 1: the Goop. It was the Goop when it's gift guide,

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Speaker 1: And there was literally a seventy five dollar bag of ship. Yeah,

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Speaker 1: there was spoke manure. Did they did they have like

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Speaker 1: the vintage the No? They said where they like, this

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Speaker 1: is from somebody who eats a vegan diet and it's

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Speaker 1: they said, it was like from like chickens and horses

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Speaker 1: and honkeys and ship like at some fucking ranch or something.

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Speaker 1: And I'm like, what the fuck seventy five dollars for

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Speaker 1: like bespoke ship. It's like and there's like a three

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Speaker 1: joint rolling machine that I just could not get behind

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Speaker 1: because it had like an espresso pods for the weeds,

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Speaker 1: so you couldn't even put your own flower in it.

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Speaker 1: And you were like buying aired fucking midash ship. No no, sorry,

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Speaker 1: I can definitely see a Sharper image style three joint

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Speaker 1: rolling machine, but you could have to source your weed

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Speaker 1: from from Sharper but so whack no no no, And

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Speaker 1: plus like it feels like with like Instagram, like you

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Speaker 1: know apps like or you know wes, technology gets better,

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Speaker 1: we sort of democratize all these skills. It's like, hey,

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Speaker 1: even if you don't have a camera, you can actually

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Speaker 1: take really cool pictures because ship. You know, it's helping

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Speaker 1: ship look better in a lot of ways. And I

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Speaker 1: feel like I developed the skills to twist up fucking

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Speaker 1: any situation inside of a jacket, inside of a backpack.

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Speaker 1: It could be raining. I could gut a blunt and

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Speaker 1: fucking twist something up like gone is sixty seconds maybe

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Speaker 1: actually technically like but so when I see those machines,

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Speaker 1: I feel like a Luddite. Could you just pull your

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Speaker 1: sleeve down over your hand and roll the joint inside

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Speaker 1: the sleeve one handed? Damn? I could. That's that's something

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Speaker 1: I want to see. I probably could, depends on how yeah,

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Speaker 1: how find the grind is Anyway, I'm thrilled to be

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Speaker 1: joined as always by my co ho Yes for Miles

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Speaker 1: when you're not m g K but you still are

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Speaker 1: we When how are you get to lambo speed when

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Speaker 1: you're chilly with her majesty? Podcast not rating first side

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Speaker 1: host makes me boness less broke. Then Alex Jones and

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Speaker 1: co host Jack will drink dude Boom boom boom boom

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Speaker 1: podcast second rate you simply must do Italy. Itst great. Okay,

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Speaker 1: there it is. Thank you to the bro you did it.

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Speaker 1: Fix You by Cold Play fantastic. I don't know. Fix

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Speaker 1: you know? Is that last dream? Dude? That ship was

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Speaker 1: like every promo for like a big event would play

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Speaker 1: fix You because there was like the that was like

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Speaker 1: the beat, like the end part that's like no no

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Speaker 1: no no no no okay no no no no God

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Speaker 1: like that part you don't remember that mm alright, not no,

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Speaker 1: it's not coming to me based off of your your

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Speaker 1: vocal interpretation over Okay, how about this part that coming

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Speaker 1: out of no no no no boom boom and then

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Speaker 1: they come out calm, just piano, Chris Martin, lights will

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Speaker 1: go to home and NA, you don't know this ship,

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Speaker 1: You're all right forget it, probably listen to it. I'll

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Speaker 1: be like I'm playing myself singing this much cold Play.

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Speaker 1: Well done, Jack, You fucking walk me right into the track.

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Speaker 1: You know, I wasn't going to admit to knowing cold

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Speaker 1: Play on brand forgot me makes me look like nice

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Speaker 1: try asshole. Nope, I've never even heard of cold Play. Anyways,

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Speaker 1: we are thrilled to be joined in our third seat

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Speaker 1: by the host of how to Do the Pot podcast

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Speaker 1: Demystifying Cannabis for Women. Please welcome back to the show,

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Speaker 1: Ellen Scandling. Hi, I'm so happy to be here again.

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Speaker 1: Oh yeah, yes, thanks for coming back. Thanks for coming back.

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Speaker 1: What's new? How are you doing? I'm good, I'm good.

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Speaker 1: Do you have the group joint roller? I don't have

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Speaker 1: the group joint roller. I'm sort of a pre roll buyer. Sorry, no,

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Speaker 1: I buy pre rolls too, because there are ones that

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Speaker 1: are that are okay. This is the thing. I usually

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Speaker 1: wouldn't buy pre roles because the flower that was in

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Speaker 1: pre rolls was just like the cast it off shake

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Speaker 1: and like not chicken McNuggets there. Yeah, exactly, Google, Like

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Speaker 1: I'm trying to eat chicken tenders, you know, real meat.

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Speaker 1: So I would always buy the flower and roll my own.

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Speaker 1: But now there's a lot of pre roles that are

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Speaker 1: pretty pretty potent. But also there's some trouble because these

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Speaker 1: dudes in California like suit this company because they're like, yo,

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Speaker 1: you're lying about the percentages on your fucking pre rolls,

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Speaker 1: because that is another are hiding a percentage, You're hiding

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Speaker 1: a less potent pre role behind these numbers. But yeah,

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Speaker 1: and what's your with I feel like a lot of

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Speaker 1: people and they're going to dispensary shorthand is like how

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Speaker 1: high the percentages? But I've also experienced things like that

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Speaker 1: the percentages aren't necessarily indicative of what how I'm gonna

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Speaker 1: you know, take that in what's what's well, how do

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Speaker 1: you determine, you know what what pre rolls right for you? Well?

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Speaker 1: I think the first thing that I learned after being

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Speaker 1: in the industry for a while is that Sativa Indica

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Speaker 1: hybrid is not really going to help you very much.

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Speaker 1: And it's tough because that's kind of what's available and

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Speaker 1: that's the classification and that's usually how people will start.

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Speaker 1: But it's it's more of a signal, I think, like

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Speaker 1: if you say I want an indica, uh, the bud

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Speaker 1: tender is sort of triangulating that to say, like, this

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Speaker 1: person wants to chill out, this person wants to be mellow,

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Speaker 1: Say TVA, you want something energizing, have intrusive thoughts in

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Speaker 1: my case, right, yeah, you know, I tell them how

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Speaker 1: I want to feel. Um, I just go in with

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Speaker 1: a handful of cash and you're like hid like one

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Speaker 1: happy please, a happy giggly day please, no stress and

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Speaker 1: one mild panic attack. That was my order. Damn. I

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Speaker 1: shouldn't have ordered that. That's what sucked me up. Yeah,

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Speaker 1: I think you'd just be chill and not panicked. Oh okay,

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Speaker 1: well they should go to this side of the store.

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Speaker 1: Oh fantastic. So I started there, and then we have

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Speaker 1: we created this list of the twelve essential strains that

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Speaker 1: we think, you know, everyone should have in their stash.

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Speaker 1: And you don't have to have all twelve, but maybe

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Speaker 1: two or three. And so I kind of use that

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Speaker 1: as a guide, like, you know, if you like O, G. Kush,

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Speaker 1: then tell them that if you like. If you like

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Speaker 1: a strain, then usually I say I like that. What

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Speaker 1: else do you have? I have some brands now that

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Speaker 1: I like too, so I get a little brand specific.

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Speaker 1: But it's tough. I mean, walking in It's like you

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Speaker 1: are a kid in a candy store, but there's so

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Speaker 1: much candy and you don't really know what any of

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Speaker 1: it tastes like, and so it's a little bit hard.

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Speaker 1: The shopping part is still evolving. I think for sure,

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Speaker 1: when are we gonna start getting days international days for

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Speaker 1: for a specific strain? The way that what what was

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Speaker 1: the wine that had low day is today? Which like,

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Speaker 1: no matter what kind of wine you drink, the drunk

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Speaker 1: is the same. I know, like alcoholics like to be like, no,

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Speaker 1: actually I was white wine drunk and was feeling very bubbly.

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Speaker 1: I don't. I don't believe any of that ship. But

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Speaker 1: like weed is much more different. It should have more

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Speaker 1: like knowledge of the strains than all the knowledge around

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Speaker 1: different wine types. Yeah, I mean yeah, it's yeah, where

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Speaker 1: is our where is our sucking? O G Cush Holiday?

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Speaker 1: I proclaim August eighteen, eight one eight as O G.

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Speaker 1: Cush Day to celebrate the O. G. Cush growers of

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Speaker 1: the San Fernando Valley. Thank you so much. Yeah, we've

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Speaker 1: been trying to get an international day together. Let's do

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Speaker 1: it day. I won't be here to partake, but you know,

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Speaker 1: you don't have to I'd love to I'd love to

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Speaker 1: give you a candy cigarette. You can have a drink

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Speaker 1: a little grape juice and have a nice candy cigarette,

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Speaker 1: and I'll sit and I'll be sipping lean and smoking

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Speaker 1: up blunts. All right, Ellen, we're gonna get to know

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Speaker 1: you a little bit better in a moment. First, we're

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Speaker 1: gonna tell our listeners a couple of the things we're

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Speaker 1: talking about today. We're talking this Harvard study. It's a

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Speaker 1: study from two Harvard professors that was published in like

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Speaker 1: an m I t outlet. But it just weren't really

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Speaker 1: hard on this idea that there's a path towards a

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Speaker 1: better society through just an all time time doubling down

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Speaker 1: on police, like more five hundred thousand more police force

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Speaker 1: would be do the body good in America? And so

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Speaker 1: Alec Carrick and Sanis you know, just want to took

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Speaker 1: a took a closer look. I think I think it

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Speaker 1: is one of the big pillars of like one of

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Speaker 1: the early things that I learned about like what things

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Speaker 1: having liberal verse conservative bias. One of the big things

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Speaker 1: first things I learned was, well, academia has a very

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Speaker 1: liberal bias, and the media has a very liberal bias,

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Speaker 1: and I think this is a good opportunity for us

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Speaker 1: to just look at that idea that there's a liberal

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Speaker 1: bias to anything. I mean, there might be like a

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Speaker 1: neoliberal bias, but it's definitely not a leftist bias, which

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Speaker 1: I think a lot of people assume that that those

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Speaker 1: two are interchangeable. So well, we'll talk about just academia

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Speaker 1: being a complete shit show. What's talk about Oprah coming

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Speaker 1: through endorsing Fetterman. What we'll ask the question if is

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Speaker 1: that too little, too late? I don't really have anything

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Speaker 1: on this, but is Twitter just like over like is

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Speaker 1: that it? I don't know. I think we're watching it.

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Speaker 1: I think we're just sort of like, yeo, this ship

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Speaker 1: might fucking blow up. You were just I think a

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Speaker 1: lot of people just kind of like waiting like at

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Speaker 1: the threshold to be like okay, alright, alright there, Like yeah,

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Speaker 1: so I'm just curious to hear, like, you know, you guys,

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Speaker 1: thoughts on like where will that energy go? What does

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Speaker 1: the post Twitter world look like? The what now of

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Speaker 1: it all? So we'll get into that plenty more. But first, Allen,

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Speaker 1: we do like to ask our guests, what is something

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Speaker 1: from your search history. This morning, I was searching the

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Speaker 1: Young Museum in San Francisco because I am going this

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Speaker 1: afternoon to see the Faith Wrangled exhibit. During COVID, I

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Speaker 1: really missed being like in the presence of art, and

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Speaker 1: so I have since I've been able to do it,

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Speaker 1: I've been trying to get back there. And since COVID also,

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Speaker 1: all these big museums are finally putting women into their

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Speaker 1: big exhibit. There's been three that I've seen, like in

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Speaker 1: the past year, which is a lot women artists that

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Speaker 1: I've never seen exhibited. So they Wrangled is ninety one

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Speaker 1: years old, which also kind of is the path for

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Speaker 1: some of these women artists, like when they get their

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Speaker 1: big show there. Really really old, but I can't wait

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Speaker 1: to go. She's super cool. I found out about her

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Speaker 1: a few years ago because she did a collaboration with

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Speaker 1: Vans and I bought them from my husband. Then I

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Speaker 1: learned she writes children's books and my son really loves

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Speaker 1: one of her books, and so yeah, that's what I

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Speaker 1: was just working on, what the hours are and see

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Speaker 1: if I can get there. It is so wild, like

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Speaker 1: when you look at the percentages of like arts like

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Speaker 1: art galleries and things, how little like how it's just

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Speaker 1: it's mostly men, Like it's it's absurd how much how

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Speaker 1: like like male dominated, like you know, quote unquote fine

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Speaker 1: art is. But yeah, it's nice to see them trying

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Speaker 1: to put it more interesting. You know, these three exhibits

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Speaker 1: of these women. I saw Joan Mitchell, I saw Judy Chicago.

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Speaker 1: They were all at either the s F MoMA or

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Speaker 1: the De Young, which are the biggest museums in San Francisco,

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Speaker 1: and they were just so different than anything else I'd seen,

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Speaker 1: but they were contemporaries of artists that, you know, So

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Speaker 1: it's kind of looking just creating more context I think

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Speaker 1: around what art was at that time, where it's going,

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Speaker 1: where it can go. So yeah, I'm really excited to

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Speaker 1: go this afternoon. An artist friend of mine she was

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Speaker 1: coming to town and stay with us, and she was like,

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Speaker 1: all right, I'm going. Like she spends hours whenever she

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Speaker 1: gets to a town, just like she like blocks off

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Speaker 1: the whole day to go to the museum. And she's like, yeah,

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Speaker 1: that's like going to church for me, Like that's what

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Speaker 1: what I do, and that that was just like a

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Speaker 1: good thing for me to hear, to be like, yeah,

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Speaker 1: that's like you need to do that for your soul

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Speaker 1: for like you know, to go to go see art

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Speaker 1: being the presence of art. Yeah, the presence of it was.

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Speaker 1: I mean the first time that I went to a

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Speaker 1: museum after COVID, I've literally came out and I felt different,

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Speaker 1: Like I just it's like the first time that you

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Speaker 1: got to see friends after such a long wait. You're

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Speaker 1: with them, and like an hour later when you're by yourself,

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Speaker 1: you're like, whoa, I just feel different. And that's really

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Speaker 1: how I felt after that first museum trips, So it

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Speaker 1: seems like a good thing to keep doing. Yeah, it's

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Speaker 1: also like yeah, it's it's there's really like the moment

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Speaker 1: when you look at an art piece and you begin

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Speaker 1: just thinking at all about it. That's the whole point

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Speaker 1: of going. You know, like when you when you don't

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Speaker 1: give yourself that opportunity, you really miss out on a

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Speaker 1: lot of like introspection or just like trying to see

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Speaker 1: through an artist's size, like what they thought was interesting.

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Speaker 1: So yeah, I definitely every usually when I go any place,

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Speaker 1: I also try and see like at least one museum

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Speaker 1: to see like what the what the what they're working with? Yeah,

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Speaker 1: what they're inspired by. You know, I think that's kind

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Speaker 1: of what's cool about it because if you can walk

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Speaker 1: out and this is what this city has chosen, it

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Speaker 1: kind of has like the vibe of the city and

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Speaker 1: the young museums in Golden Gate Park in San Francisco,

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Speaker 1: so it's like a very magical place. And you know,

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Speaker 1: cannabis can be a pretty good match if you're going

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Speaker 1: to a museum and want to hang out, so you

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Speaker 1: can kind of enhance your experience. I'm a big believer that,

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Speaker 1: you know, matching the weed to what you want to

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Speaker 1: do is like just the chef's kiss of cannabis. So

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Speaker 1: for me, with art is my thing. I don't I'm

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Speaker 1: like to smoke or vape before I got like I

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Speaker 1: prefer to. I need headphones. I need fully charged headphones

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Speaker 1: and a couple of bites of it edible and I'm

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Speaker 1: ready to see some heart. Yeah. What's what's something you

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Speaker 1: think is overrated? Okay? The thing I think is really

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Speaker 1: overrated is prescription sleep aids and Christian sleep medicine. And

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Speaker 1: it I've learned about this not because I have terrible insomnia,

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Speaker 1: but because cannabis is helping so many people sleep and

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Speaker 1: I have talked to people whose doctors give them these

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Speaker 1: very strong medications and then tell them like, it's kind

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Speaker 1: of going to stop working, so you're going to have

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Speaker 1: to take more. And the people are like, excuse me,

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Speaker 1: and medicine that, yeah, I mean that's what that was

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Speaker 1: the opioid issue too, exactly. And so sleep is an

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Speaker 1: issue that you know, I think people of all everyone

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Speaker 1: can relate to having a bad night of sleep, whether

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Speaker 1: it happens to multiple times a week or like once

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Speaker 1: every once in a while, it's brutal. And I talked

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Speaker 1: to a lot of people who say, you know, Ellen,

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Speaker 1: I don't really like weed, but I take an edible

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Speaker 1: every night to sleep and it's changed my life. So

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Speaker 1: I think that it's something that I'm hoping that sort

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Speaker 1: of just like it not being a great medicine, we'll

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Speaker 1: open people up to the idea that maybe another plant

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Speaker 1: could help you out, and that cannabis could be that plant.

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Speaker 1: And it's a little more complicated with cannabis because unlike

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Speaker 1: just taking a pill and kind of your body just

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Speaker 1: goes into some form of rest, whether it's like zombie

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Speaker 1: rest or not. I think it is something we can

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Speaker 1: talk more about but with weed, you have to know

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Speaker 1: whether you have trouble falling asleep or staying asleep. And

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Speaker 1: there are different types of cannabis that you take for

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Speaker 1: those two sleep issues. But once thought to put into it,

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Speaker 1: I just just give me the pill. Just give me

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Speaker 1: the pill. Knocked me out, hit me over the head.

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Speaker 1: You have to know yourself and like a dude, do

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Speaker 1: some thinking about something as important as your as your health.

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Speaker 1: That's interesting though, thank you for saying that. Yeah, the

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Speaker 1: questions aren't that hard, but I bet they are for

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Speaker 1: some people. Yeah, that's funny. People are like shot up

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Speaker 1: because that So there's just a lot, a lot of

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Speaker 1: medicine is moving towards the direction of, like, you know,

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Speaker 1: having a more integrated approach that involves in the patient

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Speaker 1: being treated as a responsible person and human being who

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Speaker 1: is like involved in their own recovery, as opposed to

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Speaker 1: the past where they were treated like a consumer who

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Speaker 1: you were trying to just you know, get get to

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Speaker 1: pay you money and be become a loyal subscriber to

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Speaker 1: your pharmaceutical company. They were under the subscription economy before

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Speaker 1: a lot of us were, you know, for real. It's

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Speaker 1: just wild though, to see like you know to your

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Speaker 1: point now, like because like there's so there's so many

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Speaker 1: medicinal qualities of like cannabis or like psilocybin or like

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Speaker 1: M D M A, and like we're just like because

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Speaker 1: of the fucking drug war. It's like I don't know,

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Speaker 1: first of all, And also I'm sure it's it's the

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Speaker 1: drug wars incentivized because pharmaceutical and he's like, don't like

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Speaker 1: figure out something that's like safer and cheaper, and like

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Speaker 1: let's just not do that, right, But to even see

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Speaker 1: like how like generationally, like I see more of my

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Speaker 1: parents whore like boomers and stuff who or maybe like

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Speaker 1: real straight growing up now are having things like reconstructive

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Speaker 1: hip and knee surgeries and they absolutely don't want to

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Speaker 1: take fucking opiods at all, Like they just can't handle it.

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Speaker 1: And like I had a friend of mine who's like

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Speaker 1: dad was like really hesitant because he had this very

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Speaker 1: like seventies sixties view of like pot for hippies and

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Speaker 1: like I don't need to be an idiot or whatever.

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Speaker 1: Then started taking edibles and he's like, I'm so sorry

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Speaker 1: that I did not like just take try and dissolve

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Speaker 1: that perception to sort of see what the possibility was

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Speaker 1: and and it's not necessarily for everybody, but it's also

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Speaker 1: it's good for that for people to even be open

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Speaker 1: to see, hey, this this could be an option. Yeah.

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Speaker 1: I mean, there's not a lot of of science at

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Speaker 1: about this because cannabis is still still a schedule on

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Speaker 1: drug although this is what Biden just talked about potentially changing.

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Speaker 1: But pain and sleep, there just really is a lot

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Speaker 1: of evidence that cannabis can help with those two things.

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Speaker 1: And so people, especially older people who are taking a

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Speaker 1: lot of medications, dealing with the side effects of like

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Speaker 1: medication A, not like you medication B and all of that.

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Speaker 1: You know, if you can remove even one or two,

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Speaker 1: like maybe it's a topical pain cream instead of a

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Speaker 1: pain killer, maybe it's for sleep, and just limiting the

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Speaker 1: number of pills you're putting in your body. I feel

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Speaker 1: like that that's something that that I have seen just

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Speaker 1: be a major improvement for my own life and a

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Speaker 1: lot of other people's too. And the problem with cannabis

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Speaker 1: is that people can grow it themselves, whereas a pharmaceutical

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Speaker 1: from Merk or Perdue was made in all that and

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Speaker 1: there's a big barrier of entry. And I mean, I

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Speaker 1: gotta lab in my garage, but yeah, you also might

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Speaker 1: blow yourself up or I was one time because I

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Speaker 1: was trying to make but Chane, we're not having this

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Speaker 1: conversation again. Okay, okay, but but the yeah, I mean,

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Speaker 1: so there there's money to be made. It's the whole

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Speaker 1: Just think about America as like one big profitability bias

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Speaker 1: and it suddenly makes complete sense. And yeah, it's just

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Speaker 1: it's also wild too. More and more people I know,

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Speaker 1: like to just micro dose psilocybin now instead of drinking,

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Speaker 1: Like people are just like I don't even like I

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Speaker 1: don't even like no, I can I can have a

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Speaker 1: little bit of psilocybin and I've I'm having like I'm

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Speaker 1: more like social and I have a good time and

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Speaker 1: I don't wake up with like being feeling like shit

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Speaker 1: or anything. In fact, I feel fantastic and like all X,

426
00:24:50,240 --> 00:24:52,240
Speaker 1: Y and Z. So it's just weird how even like

427
00:24:52,320 --> 00:24:55,360
Speaker 1: people are trying to just in their own ways, they're

428
00:24:55,400 --> 00:24:57,480
Speaker 1: discovering like even ship that normally like when you're in

429
00:24:57,520 --> 00:24:59,680
Speaker 1: high school, like I did shrooms once and I lost

430
00:24:59,760 --> 00:25:02,840
Speaker 1: my mind. Are now like yeah, man, like a little

431
00:25:02,920 --> 00:25:06,360
Speaker 1: nibble here like was actually a I enjoyed Jurassic Park,

432
00:25:06,800 --> 00:25:10,200
Speaker 1: yea even more if you took ten tile and all,

433
00:25:10,280 --> 00:25:13,439
Speaker 1: you also might not feel so great, you know, like

434
00:25:14,040 --> 00:25:17,440
Speaker 1: it's actually way more fun to do to macro dose mushrooms.

435
00:25:17,440 --> 00:25:20,560
Speaker 1: But I mean like that's the that there are smaller,

436
00:25:20,960 --> 00:25:24,000
Speaker 1: more responsible doses of these drugs that are actually can

437
00:25:24,080 --> 00:25:27,760
Speaker 1: be very helpful. Ellen, what is something you think is underrated? Okay,

438
00:25:27,760 --> 00:25:30,919
Speaker 1: the thing I think is underrated is how much it

439
00:25:31,000 --> 00:25:35,800
Speaker 1: matters what your state elected officials position is on cannabis.

440
00:25:35,920 --> 00:25:41,160
Speaker 1: So tomorrow is election day, and national polls tell us

441
00:25:41,200 --> 00:25:44,639
Speaker 1: that of Americans believe the cannabis should be legal for

442
00:25:44,800 --> 00:25:48,479
Speaker 1: medical or for adult use, it's about like sixty percent

443
00:25:48,720 --> 00:25:52,480
Speaker 1: on recreational use and on medical. So that's one of

444
00:25:52,600 --> 00:25:56,920
Speaker 1: the most popular issues that exists in our country right now.

445
00:25:57,800 --> 00:26:01,200
Speaker 1: But you really have to pay attention down the ballot,

446
00:26:01,280 --> 00:26:03,720
Speaker 1: like what are your senators, what are your representatives feel

447
00:26:03,720 --> 00:26:07,600
Speaker 1: about weed? Because in California, for examst for instance, where

448
00:26:07,800 --> 00:26:13,639
Speaker 1: cannabis has been legal for adult you since still today

449
00:26:13,680 --> 00:26:16,399
Speaker 1: of California is dry with we there are no retail

450
00:26:16,440 --> 00:26:20,639
Speaker 1: stores because of the decisions of the local officials, and

451
00:26:21,520 --> 00:26:24,720
Speaker 1: so it's it's just it really really matters if you're

452
00:26:24,760 --> 00:26:27,120
Speaker 1: voting to just take two seconds and if you care

453
00:26:27,119 --> 00:26:31,240
Speaker 1: about weed and look and see how your local elected officials,

454
00:26:31,320 --> 00:26:35,480
Speaker 1: state officials what they believe about weed, and if I

455
00:26:35,520 --> 00:26:38,440
Speaker 1: had to guess, the other things that those local officials

456
00:26:38,720 --> 00:26:41,640
Speaker 1: object to are also not going to be people who

457
00:26:41,680 --> 00:26:45,159
Speaker 1: listen to this podcast like favorite or least favorite positions,

458
00:26:45,320 --> 00:26:48,840
Speaker 1: you know, like if I feel like the way that

459
00:26:48,920 --> 00:26:53,199
Speaker 1: you get to actually I'm against weed is by like

460
00:26:53,359 --> 00:26:56,280
Speaker 1: being in league with the local chamber of commerce and

461
00:26:56,320 --> 00:27:00,520
Speaker 1: ship like that that is bad for overall, like like yeah,

462
00:27:00,600 --> 00:27:03,320
Speaker 1: recal real estate where they're like, you don't want a

463
00:27:03,400 --> 00:27:08,040
Speaker 1: weed shop on this blocked heads. It's like I actually do,

464
00:27:09,520 --> 00:27:13,800
Speaker 1: so a point on the profitability bias. If you want

465
00:27:13,840 --> 00:27:17,120
Speaker 1: to know what I think is driving legalization, it's jobs

466
00:27:17,240 --> 00:27:20,600
Speaker 1: and it's tax revenue. So nearly half a million people

467
00:27:20,640 --> 00:27:24,120
Speaker 1: working weed, that's a lot of jobs. There are three

468
00:27:24,119 --> 00:27:27,440
Speaker 1: times more cannabis workers than there are dentists in the US.

469
00:27:27,480 --> 00:27:29,520
Speaker 1: So if you know a dentist, you probably know somebody

470
00:27:29,520 --> 00:27:33,159
Speaker 1: working in weed. You know, Legal states have brought in

471
00:27:33,240 --> 00:27:38,040
Speaker 1: ten billion dollars in tax revenue since realization. The Colorado

472
00:27:38,080 --> 00:27:41,960
Speaker 1: the first state, So like from a profitability by a standpoint,

473
00:27:42,000 --> 00:27:45,119
Speaker 1: if you want jobs, if you want tax revenue, if

474
00:27:45,160 --> 00:27:47,679
Speaker 1: you want money. I think that's what's kind of making

475
00:27:48,680 --> 00:27:53,120
Speaker 1: the cannabis election more interesting for me to watch because

476
00:27:53,640 --> 00:27:55,600
Speaker 1: I would have agreed with you that, like things are

477
00:27:55,600 --> 00:27:58,000
Speaker 1: just straight down the middle, and people who believe in

478
00:27:58,520 --> 00:28:01,760
Speaker 1: civil rights believe in we need but people who like

479
00:28:01,880 --> 00:28:07,200
Speaker 1: money also believe that. When when Mitch McConnell started buying

480
00:28:07,400 --> 00:28:10,919
Speaker 1: on like HEMP, I was like, oh, John Gayner is

481
00:28:11,040 --> 00:28:16,040
Speaker 1: on the al right at this point, I feel like, yeah,

482
00:28:16,080 --> 00:28:19,080
Speaker 1: the cow is out of the barn, right. I think

483
00:28:19,160 --> 00:28:21,879
Speaker 1: I used that right, Like it's that. I think for

484
00:28:21,920 --> 00:28:24,720
Speaker 1: a long time, the profitability thing was what was holding back,

485
00:28:24,720 --> 00:28:26,680
Speaker 1: and they were like, well, it's more profitable for us

486
00:28:26,720 --> 00:28:31,280
Speaker 1: to have this war on drugs. Overall, there's more money

487
00:28:31,320 --> 00:28:34,359
Speaker 1: in the war on drugs than there is which and

488
00:28:34,400 --> 00:28:38,360
Speaker 1: then that was that was proven incorrect. I think with

489
00:28:38,400 --> 00:28:41,239
Speaker 1: the with the explosion of the cannabis industry and like

490
00:28:41,600 --> 00:28:44,960
Speaker 1: people realizing actually, like it's not just going to be

491
00:28:45,640 --> 00:28:48,760
Speaker 1: young people who like to get high who need to

492
00:28:48,840 --> 00:28:51,440
Speaker 1: use this, Like it's going to be very popular with

493
00:28:51,760 --> 00:28:54,880
Speaker 1: everybody because it's actually a very helpful drug. Which you

494
00:28:54,920 --> 00:28:57,840
Speaker 1: would have found out if you have bothered to study it.

495
00:28:57,840 --> 00:29:01,200
Speaker 1: This medicine Jack, I mean, you know, let's let's move

496
00:29:01,240 --> 00:29:03,080
Speaker 1: past that. But I think the other part two is

497
00:29:03,120 --> 00:29:07,760
Speaker 1: like you look at those like conservative politicians, they're probably like, well, yo,

498
00:29:08,320 --> 00:29:10,640
Speaker 1: that's that's money we don't have to put into taxes

499
00:29:10,680 --> 00:29:13,800
Speaker 1: on like our donors. It's like, how about this all

500
00:29:13,880 --> 00:29:15,640
Speaker 1: revenue like, because then you don't have to I'm sure

501
00:29:15,680 --> 00:29:17,720
Speaker 1: for people I don't want to raise taxes. Well how

502
00:29:17,760 --> 00:29:21,320
Speaker 1: about this? How about fifty million in like annual revenues

503
00:29:21,360 --> 00:29:23,880
Speaker 1: for that, Like that's what Hawaii is projecting if they

504
00:29:23,880 --> 00:29:28,440
Speaker 1: were legalizing cannabis there, and like in recently Massachusetts, we'd

505
00:29:28,440 --> 00:29:33,680
Speaker 1: overtook cranberries as the fucking main crop there. I can't

506
00:29:33,680 --> 00:29:37,640
Speaker 1: think of a state that more needs to smoke weed. Well,

507
00:29:37,680 --> 00:29:40,440
Speaker 1: the reason that alcohol prohibition ended is because of the

508
00:29:40,440 --> 00:29:43,920
Speaker 1: Great Depression and all of the states and everyone was like, whoa,

509
00:29:44,040 --> 00:29:45,760
Speaker 1: there's a lot of money that we're not getting here.

510
00:29:45,800 --> 00:29:48,560
Speaker 1: And so I think that there's sort of a playbook

511
00:29:48,640 --> 00:29:52,400
Speaker 1: for this, like the history rhymes concept that you know,

512
00:29:52,520 --> 00:29:55,440
Speaker 1: this recession, the deeper it gets, whatever it turns into.

513
00:29:55,480 --> 00:29:58,840
Speaker 1: With all these challenges, these states are suddenly realizing that

514
00:29:58,960 --> 00:30:02,200
Speaker 1: having an act. You know, I think Washington State, which

515
00:30:02,240 --> 00:30:05,720
Speaker 1: has been legal since brings in four hundred million a year.

516
00:30:06,000 --> 00:30:08,760
Speaker 1: Not a big state, you know, like that's a lot

517
00:30:08,800 --> 00:30:12,120
Speaker 1: of money. Loan though, Hey, great Fries, though shout out

518
00:30:12,160 --> 00:30:16,719
Speaker 1: Dick's driving. You really are taken by those from We're

519
00:30:16,720 --> 00:30:18,960
Speaker 1: gonna do a live show in Seattle, and I think

520
00:30:18,960 --> 00:30:21,000
Speaker 1: we'll just do it from a parking lot of Dick's right,

521
00:30:21,960 --> 00:30:25,160
Speaker 1: and it's just gonna be you with me. Yeah, I'm

522
00:30:25,200 --> 00:30:28,719
Speaker 1: just getting high. I'm like, and that's what I'm saying, Fries,

523
00:30:29,800 --> 00:30:32,320
Speaker 1: this isn't a live show. All right, let's take a

524
00:30:32,440 --> 00:30:48,240
Speaker 1: quick break. We'll be right back, and we're back. And yeah,

525
00:30:48,280 --> 00:30:50,520
Speaker 1: this is just off of Alec Carrick and saying it's

526
00:30:50,520 --> 00:30:52,360
Speaker 1: TWEETE Miles and I. We're like, oh man, we have

527
00:30:52,400 --> 00:30:55,640
Speaker 1: to have this guy back here. We just keep quoting

528
00:30:55,680 --> 00:31:00,480
Speaker 1: his threads, but its wind on the propaganda. He's really

529
00:31:00,520 --> 00:31:02,640
Speaker 1: good at bringing out like some of the things I

530
00:31:02,640 --> 00:31:05,960
Speaker 1: wouldn't have caught, Like I don't I know, I seem

531
00:31:06,040 --> 00:31:09,440
Speaker 1: like super fucking smart, but I don't pay attention to

532
00:31:09,520 --> 00:31:15,720
Speaker 1: every study that Harvard releases, and they're just generally, there's

533
00:31:15,720 --> 00:31:21,160
Speaker 1: a pervasive myth that I bought into for, like, you know,

534
00:31:21,240 --> 00:31:24,320
Speaker 1: when I was young and building my worldview that like,

535
00:31:24,640 --> 00:31:29,880
Speaker 1: higher learning institutions have a liberal bias, and presumably it's

536
00:31:29,920 --> 00:31:32,600
Speaker 1: the same liberal bias that caused mainstream media to remain

537
00:31:32,640 --> 00:31:37,920
Speaker 1: allergic to socialism in any large you know, statewide or

538
00:31:38,120 --> 00:31:41,720
Speaker 1: nationwide races give the benefit of the doubt and frequently

539
00:31:41,760 --> 00:31:44,080
Speaker 1: the benefit of the only source we checked with to

540
00:31:44,160 --> 00:31:49,560
Speaker 1: the police. But yeah, Ivy League institutions in particular, like

541
00:31:49,680 --> 00:31:55,440
Speaker 1: just seems so irrevocably tied to wealth accumulation and wealth protection.

542
00:31:55,640 --> 00:31:58,920
Speaker 1: Harvard has a fifty three billion dollar endowment that they

543
00:31:59,000 --> 00:32:02,560
Speaker 1: just keep growing like it's a fucking hobby, Like it's

544
00:32:03,120 --> 00:32:07,800
Speaker 1: we we talked about earlier last week that when like

545
00:32:07,840 --> 00:32:11,280
Speaker 1: the people are talking about affirmative action and they're saying,

546
00:32:11,320 --> 00:32:16,080
Speaker 1: these Ivy League institutions, like, you know, need to stop

547
00:32:16,160 --> 00:32:21,880
Speaker 1: using affirmative action because now they're discriminating against Asian students,

548
00:32:22,320 --> 00:32:26,600
Speaker 1: and that gives that it ignores that like they give

549
00:32:26,720 --> 00:32:29,880
Speaker 1: so many spots to people who would not get in

550
00:32:30,040 --> 00:32:34,480
Speaker 1: if they weren't related to people who went there or

551
00:32:34,560 --> 00:32:38,440
Speaker 1: the children of extremely wealthy people on the Dean's List

552
00:32:38,520 --> 00:32:40,840
Speaker 1: and you know, hint, you get on the Dean's List

553
00:32:40,840 --> 00:32:44,680
Speaker 1: by giving absurdly huge amounts of money to the school.

554
00:32:45,200 --> 00:32:48,320
Speaker 1: But yeah, I don't know. And then and then like

555
00:32:48,480 --> 00:32:50,640
Speaker 1: on the other end of that, like the smart kids

556
00:32:50,640 --> 00:32:52,479
Speaker 1: I know who went to Ivy League schools like all

557
00:32:52,680 --> 00:32:55,640
Speaker 1: ended up in some sort of like finance job, like

558
00:32:55,760 --> 00:32:59,920
Speaker 1: somehow related to the accumulation of wealth, the growth of wealth.

559
00:33:00,560 --> 00:33:04,800
Speaker 1: And it just feels like they treat like a lot

560
00:33:04,840 --> 00:33:08,360
Speaker 1: of the Ivy League people, I know, treat any skepticism

561
00:33:08,400 --> 00:33:13,560
Speaker 1: towards finance or like not treating finances like the only

562
00:33:14,800 --> 00:33:20,040
Speaker 1: serious thing and like something that just necessarily undergirds like

563
00:33:20,160 --> 00:33:24,440
Speaker 1: how the world works is treated as like a you know,

564
00:33:24,640 --> 00:33:30,120
Speaker 1: as unserious or like childish basically, yeah, I mean the

565
00:33:30,160 --> 00:33:33,120
Speaker 1: whole thing of like liberal or whatever in these Ivy

566
00:33:33,200 --> 00:33:37,280
Speaker 1: League schools. Just look at where senators fucking go to college.

567
00:33:37,640 --> 00:33:40,800
Speaker 1: On either side, You're not going to be like, oh man,

568
00:33:41,000 --> 00:33:44,920
Speaker 1: what Ted Cruz went to Harvard? Oh what, let's put

569
00:33:45,040 --> 00:33:50,160
Speaker 1: kinship hero right, I mean, like it's the the you know,

570
00:33:50,200 --> 00:33:52,160
Speaker 1: like that those places end up just they're just like

571
00:33:52,240 --> 00:33:55,920
Speaker 1: finishing schools for capitalists. They're not like I mean you

572
00:33:55,960 --> 00:33:58,040
Speaker 1: can study other things there, but a lot like the

573
00:33:58,040 --> 00:34:00,200
Speaker 1: pathway that we do see especially as it were, it's

574
00:34:00,280 --> 00:34:03,440
Speaker 1: like especially this article, it's like the most backwards take on,

575
00:34:03,520 --> 00:34:06,160
Speaker 1: like our carstral system. But like, yeah, it's proven that

576
00:34:06,440 --> 00:34:09,799
Speaker 1: cops more cops isn't equal equating to more safety, but

577
00:34:10,080 --> 00:34:12,960
Speaker 1: our suggestion is a half million more. I think also

578
00:34:13,080 --> 00:34:16,719
Speaker 1: demonstrates just how much of you know, the capital is

579
00:34:16,800 --> 00:34:18,600
Speaker 1: finishing school or whatever. It is more just about like

580
00:34:18,760 --> 00:34:22,480
Speaker 1: maintaining status quo and not figuring out how to just

581
00:34:22,640 --> 00:34:29,320
Speaker 1: keep that alive through these like really disingenuous analyzes. Yeah. Yeah,

582
00:34:29,400 --> 00:34:33,640
Speaker 1: So the claims of this paper from to Harvard professors

583
00:34:33,680 --> 00:34:36,239
Speaker 1: that got published by M I T. The U S

584
00:34:36,280 --> 00:34:39,680
Speaker 1: has way more prisoners than any other country. Okay, that's

585
00:34:40,600 --> 00:34:45,920
Speaker 1: undeniably true, good start, and to way fewer cops and

586
00:34:45,960 --> 00:34:50,640
Speaker 1: then three that is bad because prisons bring little benefit

587
00:34:50,760 --> 00:34:54,759
Speaker 1: for their costs and four cops bring big benefits for

588
00:34:54,840 --> 00:34:57,399
Speaker 1: their costs. So I think they have I think they

589
00:34:57,440 --> 00:35:01,239
Speaker 1: have an issue with the or the then numbers there.

590
00:35:01,320 --> 00:35:05,640
Speaker 1: So yes, the US has way more prisoners than other countries.

591
00:35:05,719 --> 00:35:09,360
Speaker 1: And like all the charts in their article like have

592
00:35:10,440 --> 00:35:13,160
Speaker 1: just all of the shocking numbers are on the Yeah,

593
00:35:13,160 --> 00:35:16,880
Speaker 1: the the U s has way too many prisoners and

594
00:35:16,880 --> 00:35:20,759
Speaker 1: they have about the same even by their standards that

595
00:35:20,800 --> 00:35:24,000
Speaker 1: they admit to, and it it's like they're still within

596
00:35:24,400 --> 00:35:27,640
Speaker 1: the normal range of developed countries in terms of numbers

597
00:35:27,680 --> 00:35:32,080
Speaker 1: of number of cops. I think doing their statistical analysis,

598
00:35:32,560 --> 00:35:36,359
Speaker 1: they thought they had arrived at a conclusion that there

599
00:35:36,400 --> 00:35:38,879
Speaker 1: are like they're on the low end. You would think

600
00:35:38,920 --> 00:35:41,320
Speaker 1: the US was on the high end. The US is

601
00:35:41,320 --> 00:35:44,360
Speaker 1: actually on the low end when it comes to number

602
00:35:44,719 --> 00:35:50,560
Speaker 1: of police. So Alec carry kitzanis for former guests, reached

603
00:35:50,560 --> 00:35:53,480
Speaker 1: out to them and was like, hey, like, what what

604
00:35:53,520 --> 00:35:56,960
Speaker 1: are your numbers from here, because this like doesn't match

605
00:35:57,040 --> 00:36:01,840
Speaker 1: up with mine, And the professor admitted privately over email

606
00:36:01,920 --> 00:36:06,200
Speaker 1: that the US census count is actually one point three

607
00:36:06,320 --> 00:36:10,240
Speaker 1: one point to two million police. That's seventy six percent

608
00:36:10,360 --> 00:36:12,560
Speaker 1: higher than the number they chose to use in their

609
00:36:13,200 --> 00:36:16,920
Speaker 1: public article, which would mean that it's over the median

610
00:36:17,080 --> 00:36:21,279
Speaker 1: amount like it actually and that puts America over the media. Yea,

611
00:36:21,560 --> 00:36:25,239
Speaker 1: so now they're there. Two first things are the US

612
00:36:25,280 --> 00:36:29,480
Speaker 1: has way way way more prisoners than any other you know,

613
00:36:29,640 --> 00:36:35,680
Speaker 1: developed or any other nasia period and slightly more police officers.

614
00:36:35,719 --> 00:36:37,520
Speaker 1: So it is what they should have said, rather than

615
00:36:37,560 --> 00:36:41,080
Speaker 1: saying we got more prisoners and we don't have enough cops.

616
00:36:41,239 --> 00:36:44,600
Speaker 1: And like he's even pointing out he's like they admitted, Yeah,

617
00:36:44,680 --> 00:36:49,520
Speaker 1: they even used this like really deflated number to anchor

618
00:36:49,600 --> 00:36:52,080
Speaker 1: their point that there is a gap that needs to

619
00:36:52,120 --> 00:36:55,840
Speaker 1: be filled, and like without even counting things like private police,

620
00:36:56,360 --> 00:36:59,080
Speaker 1: which you'll depending on where you live, you've probably seen it.

621
00:36:59,400 --> 00:37:01,239
Speaker 1: You see him like certain areas like for these like

622
00:37:01,920 --> 00:37:05,120
Speaker 1: very cop looking people who have like weapons and things

623
00:37:05,120 --> 00:37:08,360
Speaker 1: are also like, oh, so this is private law enforcement

624
00:37:08,400 --> 00:37:11,360
Speaker 1: over here too. Those numbers aren't counted. Uh, there's just

625
00:37:11,440 --> 00:37:14,759
Speaker 1: a lot of it. It really just shows also to

626
00:37:14,960 --> 00:37:17,600
Speaker 1: like how breathlessly people will also just say, oh, these

627
00:37:17,600 --> 00:37:21,560
Speaker 1: two Harvard professors did this retreat, retreat, retreat or republish

628
00:37:22,719 --> 00:37:25,719
Speaker 1: and continue to sort of spread that narrative. And they

629
00:37:25,760 --> 00:37:29,720
Speaker 1: are basing their research on like a single study, whereas

630
00:37:29,800 --> 00:37:32,560
Speaker 1: all of the like, so so that they're basing on

631
00:37:32,640 --> 00:37:35,400
Speaker 1: the second part of their thing, which is that and

632
00:37:35,440 --> 00:37:40,359
Speaker 1: the police are a seven self evidently good investment of

633
00:37:40,680 --> 00:37:44,520
Speaker 1: public funds. They're investing or they're resting that on a

634
00:37:44,719 --> 00:37:49,880
Speaker 1: single study that found that there are many like meta

635
00:37:49,960 --> 00:37:53,400
Speaker 1: studies that take all the studies about this and have

636
00:37:53,560 --> 00:37:58,000
Speaker 1: found that actually more police does not equate to more crime.

637
00:37:58,320 --> 00:38:02,000
Speaker 1: And also all of these study's don't take into account

638
00:38:02,040 --> 00:38:08,080
Speaker 1: the crimes committed by police, which which is like a

639
00:38:08,200 --> 00:38:11,239
Speaker 1: shocking amount every time we take a look under that rock,

640
00:38:11,320 --> 00:38:14,080
Speaker 1: there is a shocking amount of crimes being committed by

641
00:38:14,120 --> 00:38:16,680
Speaker 1: the police, right. And we even talked about how like

642
00:38:16,719 --> 00:38:20,400
Speaker 1: in Minneapolis the police are like bankrupting the city because

643
00:38:20,400 --> 00:38:23,040
Speaker 1: of all their like factory and having to settle with

644
00:38:23,080 --> 00:38:26,240
Speaker 1: like citizens for like all their like you know, malfeasance.

645
00:38:26,360 --> 00:38:29,000
Speaker 1: That there's an like what's that cost too? Is that

646
00:38:29,040 --> 00:38:31,960
Speaker 1: in the analysis? He yeah, I mean that That's another

647
00:38:32,000 --> 00:38:34,239
Speaker 1: point that he does a good job of driving home

648
00:38:34,320 --> 00:38:38,759
Speaker 1: is that it's not just that like police are a

649
00:38:39,000 --> 00:38:43,959
Speaker 1: terrible instrument, it's that they are also like they they

650
00:38:44,120 --> 00:38:49,279
Speaker 1: are a very sophisticated apparatus for fighting against any sort

651
00:38:49,320 --> 00:38:52,360
Speaker 1: of social progress that is going to upset the current

652
00:38:52,400 --> 00:38:55,399
Speaker 1: system that we have, which is, as to quote Joe

653
00:38:55,440 --> 00:38:58,280
Speaker 1: Biden when he was trying to like argue for more police,

654
00:38:58,719 --> 00:39:03,160
Speaker 1: they where the police are like your priest, and your

655
00:39:04,200 --> 00:39:07,560
Speaker 1: like what what do you say? He is like counselor psychiatrists,

656
00:39:07,600 --> 00:39:10,319
Speaker 1: like all these different jobs, like the the police are

657
00:39:10,360 --> 00:39:13,120
Speaker 1: the only people that we give money to to do

658
00:39:13,320 --> 00:39:17,759
Speaker 1: any of those things. And the police unions have are

659
00:39:17,920 --> 00:39:22,280
Speaker 1: very sophisticated. The police unions, police lobbies, police pr all

660
00:39:22,320 --> 00:39:26,880
Speaker 1: are very sophisticated at fighting any sort of you know,

661
00:39:27,000 --> 00:39:33,040
Speaker 1: changing of how we invest to support social programs, progressive

662
00:39:33,080 --> 00:39:37,080
Speaker 1: social policy. Like they know that that means that we

663
00:39:37,120 --> 00:39:41,680
Speaker 1: are less reliant on police, and therefore they fight against that.

664
00:39:42,080 --> 00:39:47,440
Speaker 1: They intimidate, physically, intimidate, like pullover family members of politicians

665
00:39:47,440 --> 00:39:50,319
Speaker 1: who support that sort of thing. And they've been doing

666
00:39:50,360 --> 00:39:53,680
Speaker 1: it for a hundred and twenty years at least. I mean,

667
00:39:53,760 --> 00:39:56,200
Speaker 1: they were like the foundation of the police was as

668
00:39:56,239 --> 00:40:02,239
Speaker 1: a runaway slave like hunting force. So so it's not

669
00:40:02,400 --> 00:40:06,160
Speaker 1: just it's not just that more police would lead to

670
00:40:06,360 --> 00:40:08,319
Speaker 1: more arrests than like, what the funk are you even

671
00:40:08,400 --> 00:40:11,759
Speaker 1: talking about with this being the solution to we need

672
00:40:11,760 --> 00:40:16,040
Speaker 1: more arrests? Right? They even they again, they admit it,

673
00:40:16,280 --> 00:40:20,120
Speaker 1: they admit that the this would lead to more arrests,

674
00:40:20,120 --> 00:40:22,480
Speaker 1: and they're like that is a downside. It's like no,

675
00:40:22,640 --> 00:40:24,920
Speaker 1: but the point that you're the problem. You're trying to

676
00:40:24,960 --> 00:40:27,040
Speaker 1: solve is that there are too many arrests and too

677
00:40:27,040 --> 00:40:31,760
Speaker 1: many people in prison. What the fuck are you even

678
00:40:31,840 --> 00:40:37,960
Speaker 1: talking about. It's such a wild, like just misguided, not

679
00:40:38,200 --> 00:40:42,719
Speaker 1: serious argument, but it's put forward. And so that's where

680
00:40:42,800 --> 00:40:45,799
Speaker 1: like my thoughts on like Ivy League institutions and just

681
00:40:45,880 --> 00:40:51,400
Speaker 1: academia like come from, is just that it it's so

682
00:40:52,640 --> 00:40:57,120
Speaker 1: inconceivable that like in like people who subscribe to the

683
00:40:57,160 --> 00:41:01,480
Speaker 1: scientific method would get to a place where this sort

684
00:41:01,520 --> 00:41:06,360
Speaker 1: of idea could even be like put down seriously and

685
00:41:06,520 --> 00:41:09,319
Speaker 1: like put a place where they publish it. And then

686
00:41:09,400 --> 00:41:12,319
Speaker 1: like a person asked like very basic questions, they're like, yeah,

687
00:41:12,360 --> 00:41:14,080
Speaker 1: I mean we hate it. We don't like the study

688
00:41:14,160 --> 00:41:16,640
Speaker 1: and like none of this really makes sense to us either.

689
00:41:16,880 --> 00:41:18,440
Speaker 1: And it's like, well, then, who the funk are you

690
00:41:18,480 --> 00:41:24,360
Speaker 1: working on behalf of? Like yeah, basically, I mean he

691
00:41:24,840 --> 00:41:28,560
Speaker 1: because they'll use this study. I mean, like, municipalities will

692
00:41:28,640 --> 00:41:30,840
Speaker 1: use this study to bolster their argument that this is

693
00:41:30,880 --> 00:41:33,200
Speaker 1: the solution, and they'll be able to pound the table

694
00:41:33,239 --> 00:41:38,400
Speaker 1: and say to Harvard professors in their analysis said even

695
00:41:38,440 --> 00:41:43,000
Speaker 1: at Harvard, Okay, they're saying that the solution is to

696
00:41:43,200 --> 00:41:49,680
Speaker 1: increase the police presence across the country and it's well,

697
00:41:49,680 --> 00:41:51,600
Speaker 1: I mean the one and the one thing that I've

698
00:41:51,640 --> 00:41:55,000
Speaker 1: that's positive. It's like that the story likes somewhat evolved

699
00:41:55,040 --> 00:41:57,200
Speaker 1: to the point where like more people are now like

700
00:41:57,200 --> 00:42:00,640
Speaker 1: like openly questioning these two professors, like even at Harvard

701
00:42:01,120 --> 00:42:05,040
Speaker 1: and what's going on exactly Like this is act because

702
00:42:05,040 --> 00:42:09,480
Speaker 1: apparently this was sent out like to disseminate it to students,

703
00:42:10,200 --> 00:42:16,480
Speaker 1: um like right around the time of George Floyd's murder. Yeah,

704
00:42:16,640 --> 00:42:18,600
Speaker 1: like and they're like, yeah, and we know everyone's hurting.

705
00:42:18,640 --> 00:42:20,799
Speaker 1: You should maybe check this thing out too, Like there's

706
00:42:20,840 --> 00:42:22,719
Speaker 1: a lot of ways we can move forward with this.

707
00:42:22,800 --> 00:42:27,279
Speaker 1: And that is so because that was the that was

708
00:42:27,360 --> 00:42:31,160
Speaker 1: the answer to the black Lives Matter movement that the

709
00:42:31,200 --> 00:42:35,640
Speaker 1: mainstream media wanted to go with and ultimately did go with.

710
00:42:35,840 --> 00:42:38,840
Speaker 1: Is like, yeah, but police are necessary. There are only answer,

711
00:42:39,040 --> 00:42:41,520
Speaker 1: and so we just got to double down on police

712
00:42:41,600 --> 00:42:44,000
Speaker 1: because crime is going to go up if we even

713
00:42:44,239 --> 00:42:48,120
Speaker 1: question or protest against the police. Which, by the way,

714
00:42:48,160 --> 00:42:52,520
Speaker 1: there's new stat new statistics that show there's no rising crime.

715
00:42:53,160 --> 00:42:59,640
Speaker 1: So yeah, they the whole thing, like the liberal and

716
00:42:59,760 --> 00:43:04,320
Speaker 1: quote it's media bias, the liberal bias of mainstream institutions,

717
00:43:04,440 --> 00:43:08,239
Speaker 1: like they are all part of the same thing. They might.

718
00:43:08,280 --> 00:43:12,000
Speaker 1: There are probably a lot of maybe even a majority

719
00:43:12,080 --> 00:43:15,400
Speaker 1: of left leaning people who work at these institutions, but

720
00:43:15,520 --> 00:43:21,440
Speaker 1: the financial incentives, the structures in place, like Harvard's Harvard's

721
00:43:21,520 --> 00:43:26,880
Speaker 1: president for five years was Larry Summers, who is like

722
00:43:26,920 --> 00:43:31,160
Speaker 1: an economist who was like on who while he was

723
00:43:31,200 --> 00:43:34,680
Speaker 1: the Harvard's president, like flew on the Lolita Express and

724
00:43:34,880 --> 00:43:38,640
Speaker 1: is like a you know, just a finance studge who

725
00:43:38,680 --> 00:43:43,120
Speaker 1: like believes everything that like is just a mouthpiece for

726
00:43:43,160 --> 00:43:47,120
Speaker 1: the finance industry and like trickle down economics and ship

727
00:43:47,239 --> 00:43:51,160
Speaker 1: like that. Like he's just the the most you know,

728
00:43:52,200 --> 00:43:56,560
Speaker 1: and Harvard's fucking what's it called Dowry or whatever the

729
00:43:57,239 --> 00:44:01,760
Speaker 1: down is Basically a down is like fifty three billion

730
00:44:01,800 --> 00:44:05,920
Speaker 1: dollars like that. It doesn't like they tell you everything

731
00:44:05,960 --> 00:44:08,279
Speaker 1: you need to know. The only people telling you that

732
00:44:08,320 --> 00:44:12,880
Speaker 1: they have a leftist bias are right leaning people who

733
00:44:13,080 --> 00:44:15,640
Speaker 1: are good at this ship. Like that's what. That's another

734
00:44:15,680 --> 00:44:18,399
Speaker 1: thing that like I'm just tired of like people being like, well,

735
00:44:18,480 --> 00:44:21,120
Speaker 1: the people on the right are idiots. No, they're good

736
00:44:21,320 --> 00:44:24,879
Speaker 1: at the lie that they're telling, and like they're succeeding

737
00:44:25,080 --> 00:44:28,120
Speaker 1: at convincing people and like we need to take it

738
00:44:28,320 --> 00:44:31,280
Speaker 1: seriously and like, well, I mean there's but their strategy

739
00:44:31,320 --> 00:44:34,480
Speaker 1: just to be as cynical as possible and like and

740
00:44:34,480 --> 00:44:37,879
Speaker 1: and very intentionally, I think the issue is the only

741
00:44:37,880 --> 00:44:41,120
Speaker 1: way to combat that isn't to like do the democrat

742
00:44:41,280 --> 00:44:45,480
Speaker 1: version of cynicism. It's to actually begin telling the fucking truth.

743
00:44:46,200 --> 00:44:50,160
Speaker 1: Because that's different than just pointing to all these fucking

744
00:44:50,280 --> 00:44:53,000
Speaker 1: racist myths and ship and you can say, you know

745
00:44:53,160 --> 00:44:56,440
Speaker 1: what is actually going to like help us our X,

746
00:44:56,600 --> 00:44:59,000
Speaker 1: Y and Z that doesn't conform to like what the

747
00:44:59,080 --> 00:45:01,880
Speaker 1: defined platfor form is of you, like the d n

748
00:45:01,960 --> 00:45:05,200
Speaker 1: C or whatever at the moment. Yeah, so, but I

749
00:45:05,280 --> 00:45:07,640
Speaker 1: mean I think the one again, I just I like

750
00:45:07,800 --> 00:45:11,160
Speaker 1: that despite that, right, there are still even like the

751
00:45:11,239 --> 00:45:14,320
Speaker 1: kids that are like at Harvard are also at least

752
00:45:14,360 --> 00:45:16,560
Speaker 1: there's it doesn't seem like all the students like we

753
00:45:16,560 --> 00:45:19,680
Speaker 1: we stand with our professor's analysis, Like the students are

754
00:45:19,719 --> 00:45:23,239
Speaker 1: somewhat starting to begin to be like this is this

755
00:45:23,320 --> 00:45:26,600
Speaker 1: is not good work at all and and other faculty.

756
00:45:26,680 --> 00:45:29,120
Speaker 1: But what that means in terms of like the publication

757
00:45:29,200 --> 00:45:30,920
Speaker 1: and the damage that's been done and who knows what

758
00:45:31,000 --> 00:45:33,200
Speaker 1: many how many decisions have been made based off of that,

759
00:45:34,719 --> 00:45:37,160
Speaker 1: like as someone who you know, just like having been

760
00:45:37,280 --> 00:45:40,360
Speaker 1: in the professional world and met a lot of people

761
00:45:40,600 --> 00:45:48,080
Speaker 1: from like supposedly elite universities, and you know people from

762
00:45:48,120 --> 00:45:51,439
Speaker 1: like not elite universities and some people like I've never

763
00:45:51,600 --> 00:45:54,799
Speaker 1: once checked on a resume like what someone's educational background is.

764
00:45:54,840 --> 00:45:58,200
Speaker 1: I'm like, thank you, I appreciate that you never but

765
00:45:58,200 --> 00:46:00,960
Speaker 1: but like do you do you do you guys ever

766
00:46:01,000 --> 00:46:04,840
Speaker 1: get this like sense of like the more elite the university,

767
00:46:04,880 --> 00:46:07,480
Speaker 1: the more in the bag they are with like the finance,

768
00:46:07,520 --> 00:46:10,160
Speaker 1: the world of finance, and just like that that is

769
00:46:10,200 --> 00:46:15,280
Speaker 1: like this prerequisite understanding of like how the world works.

770
00:46:15,600 --> 00:46:20,680
Speaker 1: Like that it feels like data. There's data that says

771
00:46:20,719 --> 00:46:22,440
Speaker 1: that the so I know a little bit about the

772
00:46:22,480 --> 00:46:26,799
Speaker 1: venture capital industry because that's confund cannabis because you can't

773
00:46:26,800 --> 00:46:29,319
Speaker 1: get a bank loan and you can't get money through

774
00:46:29,360 --> 00:46:34,640
Speaker 1: regular banks. And Julia Boston is a an announcer, one

775
00:46:34,640 --> 00:46:36,960
Speaker 1: of the anchors on CNBC, and she just wrote a

776
00:46:36,960 --> 00:46:39,480
Speaker 1: book called One Women Lead. And in this book it

777
00:46:39,560 --> 00:46:42,480
Speaker 1: talks about how I'm not I'm not going to remember

778
00:46:42,480 --> 00:46:45,120
Speaker 1: the exact numbers, but it's something so stunning. It's like

779
00:46:45,520 --> 00:46:49,000
Speaker 1: sevent of all of the partners who can write checks,

780
00:46:49,040 --> 00:46:50,960
Speaker 1: who have the ability to like write a check out

781
00:46:51,000 --> 00:46:54,719
Speaker 1: a venture capital firm went to Harvard or Stanford, not

782
00:46:54,840 --> 00:46:57,840
Speaker 1: just not just like IVY, like like those two schools

783
00:46:57,960 --> 00:47:01,120
Speaker 1: you are, we're se and they're all white, and they're

784
00:47:01,160 --> 00:47:04,439
Speaker 1: all men, and that's who writes checks and that's why

785
00:47:04,480 --> 00:47:09,520
Speaker 1: women get two of venture capital funding. Of venture capital

786
00:47:09,600 --> 00:47:12,879
Speaker 1: funding goes to men. So I I, you know, just

787
00:47:13,120 --> 00:47:16,560
Speaker 1: an extra added little cherry on top for your theory.

788
00:47:17,040 --> 00:47:19,200
Speaker 1: I mean, like yeah that I wish that stat was

789
00:47:19,280 --> 00:47:23,080
Speaker 1: like you know, you know of billionaire class traders go

790
00:47:23,920 --> 00:47:27,440
Speaker 1: went to Stanford or Harvard, Well that's what we need.

791
00:47:28,680 --> 00:47:31,160
Speaker 1: I don't know, like Ze Gang, any anybody who's like

792
00:47:31,320 --> 00:47:34,399
Speaker 1: from this world, Like I would love to just like

793
00:47:34,880 --> 00:47:37,880
Speaker 1: have a segment on this show that is like, you know,

794
00:47:38,520 --> 00:47:41,680
Speaker 1: just spying on these motherfucker's and like telling the truths

795
00:47:41,719 --> 00:47:44,319
Speaker 1: about what this ship is going on, what is going on,

796
00:47:44,400 --> 00:47:48,680
Speaker 1: because like I have lots of you know, suspicions based

797
00:47:48,719 --> 00:47:51,279
Speaker 1: on like those people that I've met, but like, yeah,

798
00:47:51,440 --> 00:47:55,359
Speaker 1: like just I don't know, like it's a different world view.

799
00:47:55,400 --> 00:47:57,520
Speaker 1: I know, somebody who went to Stanford and went into

800
00:47:57,680 --> 00:48:01,920
Speaker 1: VC ship and you know, like start when Stanford hedge

801
00:48:01,960 --> 00:48:06,759
Speaker 1: funds then startups. Okay, that was their path and they're

802
00:48:06,800 --> 00:48:11,520
Speaker 1: like a sweet person, not like hateful or anything. But

803
00:48:11,600 --> 00:48:13,319
Speaker 1: the way they look at the world is they get

804
00:48:13,320 --> 00:48:15,640
Speaker 1: to work and they start they start making numbers move.

805
00:48:16,040 --> 00:48:19,719
Speaker 1: Yeah that's really I mean, like because I've even asked it,

806
00:48:19,800 --> 00:48:23,440
Speaker 1: I'm like like, like it excites you, and it's like yeah,

807
00:48:23,520 --> 00:48:25,560
Speaker 1: you know. But also just to take something from nothing

808
00:48:25,680 --> 00:48:27,959
Speaker 1: and grow it too. It's also really fun to see

809
00:48:28,120 --> 00:48:30,200
Speaker 1: and to work on something like that too. So there's

810
00:48:30,200 --> 00:48:33,600
Speaker 1: like a I don't know, I mean, like this person

811
00:48:33,640 --> 00:48:36,160
Speaker 1: is not as cynical in saying it, but what they

812
00:48:36,320 --> 00:48:38,440
Speaker 1: what they engage in, is part and parcel of this

813
00:48:38,560 --> 00:48:41,640
Speaker 1: like broader thing but there, but their their worldview is

814
00:48:41,680 --> 00:48:46,239
Speaker 1: a little more, it's less it's less dark to them.

815
00:48:46,239 --> 00:48:48,680
Speaker 1: It's just more benign what they're doing. But I do

816
00:48:48,760 --> 00:48:53,960
Speaker 1: think it's like a capitalist supremacist like wealth supremacist idea

817
00:48:54,480 --> 00:48:56,839
Speaker 1: that is at the heart of this. And like that's

818
00:48:56,880 --> 00:49:00,080
Speaker 1: also where the medium myth comes from. That it's like, yeah, well,

819
00:49:00,080 --> 00:49:02,120
Speaker 1: the people who voted for Trump are fucking idiots, Like

820
00:49:02,160 --> 00:49:04,879
Speaker 1: they're just you know, like we can just dismiss all

821
00:49:04,920 --> 00:49:07,600
Speaker 1: of them as idiots were the only smart ones, and

822
00:49:08,120 --> 00:49:12,760
Speaker 1: therefore we're making decisions on people's behalf. Like you really

823
00:49:12,800 --> 00:49:15,880
Speaker 1: do see some of that, Like I'm randy and thinking

824
00:49:16,120 --> 00:49:18,520
Speaker 1: like kind of creep in when you're talking to these

825
00:49:18,600 --> 00:49:23,840
Speaker 1: like ivy educated people that just I don't know. All

826
00:49:23,880 --> 00:49:27,360
Speaker 1: I'm gonna say is that the people who studied who

827
00:49:27,640 --> 00:49:31,640
Speaker 1: published this bullshit study are to Harvard professors. The meta

828
00:49:31,719 --> 00:49:35,280
Speaker 1: study is from professors of Cincinnati and University of Florida

829
00:49:35,680 --> 00:49:40,600
Speaker 1: and go back. Yeah, I'm fucking trusting the state universities

830
00:49:40,640 --> 00:49:44,080
Speaker 1: and the local universities much more than I am a

831
00:49:44,080 --> 00:49:47,359
Speaker 1: a university that was headed by Larry Summers and has

832
00:49:47,400 --> 00:49:51,320
Speaker 1: a fifty three billion dollar endowment. But yeah, class traders,

833
00:49:51,600 --> 00:49:54,120
Speaker 1: hit us up on Twitter, hit us at the I'll

834
00:49:54,160 --> 00:49:56,520
Speaker 1: open the d M s. Just I want I want

835
00:49:56,520 --> 00:49:59,600
Speaker 1: to hear the stories. Y'all got all right, let's take

836
00:49:59,640 --> 00:50:13,000
Speaker 1: a quick break. Okay, we'll come back, and we're back

837
00:50:13,719 --> 00:50:16,080
Speaker 1: and forward the end of the Toward the end of

838
00:50:16,160 --> 00:50:23,200
Speaker 1: last week, Oprah went from her her initial position New York.

839
00:50:23,320 --> 00:50:26,600
Speaker 1: New York Magazine reached out and we're like, hey, so

840
00:50:26,680 --> 00:50:30,200
Speaker 1: this monster that you helped create is running for Senate

841
00:50:30,480 --> 00:50:34,480
Speaker 1: in Pennsylvania, and her response was, one of the great

842
00:50:34,520 --> 00:50:37,760
Speaker 1: things about our democracy is that every citizen can decide

843
00:50:37,760 --> 00:50:40,919
Speaker 1: to run for public office. Mem at Oz has made

844
00:50:40,960 --> 00:50:43,400
Speaker 1: that decision, and now it's up to the residents of

845
00:50:43,400 --> 00:50:48,120
Speaker 1: Pennsylvania to decide who will represent him. M So not

846
00:50:48,360 --> 00:50:53,440
Speaker 1: not very strong take. But Oprah at the end of

847
00:50:53,520 --> 00:50:57,760
Speaker 1: last week did come out and endorsed Jhon Fetterman, which

848
00:50:58,680 --> 00:51:00,560
Speaker 1: I don't know. I don't know if that's gonna change

849
00:51:00,560 --> 00:51:04,680
Speaker 1: anyone's mind. It does feel like it's like the Fetterman

850
00:51:05,000 --> 00:51:09,120
Speaker 1: side looking for a mainstream media win because the mainstream

851
00:51:09,160 --> 00:51:11,600
Speaker 1: media has just been beating the ship out of them

852
00:51:11,640 --> 00:51:13,880
Speaker 1: as soon as they got their sights on them and

853
00:51:14,080 --> 00:51:17,920
Speaker 1: saw a little bit of weakness. And but I don't know.

854
00:51:18,239 --> 00:51:20,520
Speaker 1: I still think Fetterman is going to do better than

855
00:51:20,840 --> 00:51:25,239
Speaker 1: whatever the mainstream media is assuming because he actually has policies.

856
00:51:26,760 --> 00:51:31,880
Speaker 1: Plenty went up, like demonstrably after the after the debate.

857
00:51:32,080 --> 00:51:34,920
Speaker 1: The debate where everyone was like, oh my yeah, because

858
00:51:34,920 --> 00:51:37,319
Speaker 1: the other thing they when they're asking people about it

859
00:51:37,320 --> 00:51:40,279
Speaker 1: to like seventy of people knew somebody who had been

860
00:51:40,280 --> 00:51:45,319
Speaker 1: through a stroke. Yeah, motherfucker, So they weren't like they're like, yeah, man,

861
00:51:45,640 --> 00:51:49,960
Speaker 1: like that ship happens, and I'm not like that is

862
00:51:50,000 --> 00:51:53,080
Speaker 1: not a foreign concept to me, that you are mortal,

863
00:51:54,000 --> 00:51:57,640
Speaker 1: so and especially something as common as that, So like

864
00:51:57,719 --> 00:52:00,520
Speaker 1: it didn't quite That's what was so bizarre about that.

865
00:52:00,640 --> 00:52:02,680
Speaker 1: Like with Oprah, I don't know, if you know, I

866
00:52:02,680 --> 00:52:04,680
Speaker 1: don't know how much weight it's going to carry, and

867
00:52:04,680 --> 00:52:08,840
Speaker 1: I don't even know honestly, like doing some both sides

868
00:52:09,320 --> 00:52:12,080
Speaker 1: about this, like like to start off, like let the

869
00:52:12,160 --> 00:52:16,040
Speaker 1: people decide. It's like one guy is forced birth. Yes,

870
00:52:16,760 --> 00:52:19,560
Speaker 1: like let's be real, what a woman's right. He's not

871
00:52:19,600 --> 00:52:27,120
Speaker 1: forcing anyone her husband, her doctor, and her local politician.

872
00:52:27,360 --> 00:52:29,759
Speaker 1: That's what it was. That's what it was. And so

873
00:52:29,880 --> 00:52:33,000
Speaker 1: like it is it is a little bit like like

874
00:52:33,000 --> 00:52:34,719
Speaker 1: where the funk were you? But at the same time,

875
00:52:34,840 --> 00:52:38,480
Speaker 1: I'm hoping most people aren't like being like, well, you

876
00:52:38,520 --> 00:52:42,160
Speaker 1: know me, I can't make a decision until Oprah says something,

877
00:52:43,239 --> 00:52:47,520
Speaker 1: you know, so hopefully it's not you know, necessarily going

878
00:52:47,560 --> 00:52:51,360
Speaker 1: to count plus plus or minus in terms of winding sales.

879
00:52:51,400 --> 00:52:53,799
Speaker 1: I think this is more mainstream media just being like

880
00:52:53,840 --> 00:52:57,479
Speaker 1: they're idiots. Man. They'll do whatever Oprah tells them, and

881
00:52:58,200 --> 00:53:00,960
Speaker 1: they'll read a book that she read commends because they

882
00:53:01,040 --> 00:53:03,640
Speaker 1: recognize that other people will probably be reading that book

883
00:53:03,640 --> 00:53:06,319
Speaker 1: and it's fun to read stuff. I don't know that

884
00:53:06,320 --> 00:53:11,759
Speaker 1: they're going to vote because she did sort and her

885
00:53:11,880 --> 00:53:14,759
Speaker 1: her statement of endorsing John Feederman, like the useful thing

886
00:53:14,760 --> 00:53:17,200
Speaker 1: would have been like, look, I've seen some ship. This

887
00:53:17,239 --> 00:53:22,400
Speaker 1: guy's like a bad person, like you shouldn't trust his

888
00:53:22,520 --> 00:53:26,320
Speaker 1: like medical credentials or like his you shouldn't trust him.

889
00:53:26,400 --> 00:53:29,279
Speaker 1: And instead she just like kind of voice support for

890
00:53:29,360 --> 00:53:34,759
Speaker 1: Fetterman so as not to to burn the bridge. But yeah,

891
00:53:35,120 --> 00:53:39,480
Speaker 1: I speaking of like his marijuana policy, culd he's going

892
00:53:39,520 --> 00:53:42,080
Speaker 1: after Federman, remember that ad and like the bomb came

893
00:53:42,120 --> 00:53:45,760
Speaker 1: out of and it's like he wants to legalize marijuana.

894
00:53:46,080 --> 00:53:48,839
Speaker 1: And it's just so funny too, because this is why

895
00:53:49,239 --> 00:53:52,160
Speaker 1: more than like him just being like just terrible on

896
00:53:52,200 --> 00:53:54,200
Speaker 1: all the issues, it's the fact that this guy has

897
00:53:54,320 --> 00:53:57,360
Speaker 1: no like sound beliefs at all dr oz because on

898
00:53:57,440 --> 00:53:59,560
Speaker 1: when one breath, he'll be like, I don't know about

899
00:53:59,640 --> 00:54:02,839
Speaker 1: his lead goalies all drugs policy, while later on being like,

900
00:54:03,160 --> 00:54:06,240
Speaker 1: you know, I'm supportive medical marijuana. This is a quote

901
00:54:06,320 --> 00:54:09,240
Speaker 1: quote I think with the doctor's involvement, especially for seniors

902
00:54:09,239 --> 00:54:10,880
Speaker 1: who have end of life issue suffering from pain. I

903
00:54:10,880 --> 00:54:13,120
Speaker 1: think it's a safer solution than, for example, in narcotics

904
00:54:13,120 --> 00:54:15,960
Speaker 1: in many cases, but it has to be studied. But

905
00:54:16,000 --> 00:54:18,280
Speaker 1: then going right back, now, you want to legalize everything,

906
00:54:18,320 --> 00:54:23,640
Speaker 1: Like he's not a he's a fucking creature. Yeah, like

907
00:54:23,760 --> 00:54:28,560
Speaker 1: an ego creature. But it's but you know he's he's

908
00:54:28,600 --> 00:54:32,000
Speaker 1: good at scoffing at somebody recovering from a stroke on

909
00:54:32,000 --> 00:54:35,560
Speaker 1: a debate stage. So that's I guess counts for something.

910
00:54:35,800 --> 00:54:39,600
Speaker 1: I mean he ran attack ads on the fact that

911
00:54:39,719 --> 00:54:42,840
Speaker 1: he had gone through gone through a stroke anyways. I

912
00:54:42,880 --> 00:54:47,160
Speaker 1: mean there's more stuff, like you could argue that Oprah

913
00:54:47,280 --> 00:54:50,080
Speaker 1: is like a proto Joe Rogan, who would like kind

914
00:54:50,080 --> 00:54:54,280
Speaker 1: of show up and say a bunch of medically dubious,

915
00:54:54,320 --> 00:54:57,080
Speaker 1: Like said, someone would show up, she'd have an expert

916
00:54:57,120 --> 00:54:59,880
Speaker 1: on a Jordan Peterson stand in in this case, Jen

917
00:55:00,120 --> 00:55:02,880
Speaker 1: McCarthy or doctor Oz, and they'd say a bunch of

918
00:55:02,920 --> 00:55:06,680
Speaker 1: like medical medically dubious bullshit about how like there's a

919
00:55:06,719 --> 00:55:11,239
Speaker 1: pill lit'll melt your tummy fat away. And she was

920
00:55:11,320 --> 00:55:16,359
Speaker 1: just kind of smiling nod because that you know, she

921
00:55:16,560 --> 00:55:19,279
Speaker 1: wasn't saying it but she was platforming people who were

922
00:55:19,960 --> 00:55:26,160
Speaker 1: and then which is and like, yeah, she's h to

923
00:55:26,280 --> 00:55:28,520
Speaker 1: mean Dr Phil too, We've seen where that goes. And

924
00:55:28,719 --> 00:55:31,160
Speaker 1: like watching his like later, like every now and then,

925
00:55:31,160 --> 00:55:32,880
Speaker 1: I like to see what Dr Phil is talking about,

926
00:55:32,920 --> 00:55:36,880
Speaker 1: and it's always that's it's not even helpful anymore. Like

927
00:55:36,960 --> 00:55:41,279
Speaker 1: half of it is like is my trans child a problem?

928
00:55:41,320 --> 00:55:43,839
Speaker 1: Like is like the headline and you're like, what the

929
00:55:43,920 --> 00:55:47,560
Speaker 1: fuck is Dr Oz or Dr Phil even doing? Yeah,

930
00:55:47,960 --> 00:55:50,160
Speaker 1: but I don't know what about you, Allen. Do you

931
00:55:50,160 --> 00:55:53,680
Speaker 1: get most of your medical takes just from Google like

932
00:55:53,760 --> 00:55:56,799
Speaker 1: Jenny McCarthy does and then goes on to Oprah and

933
00:55:57,120 --> 00:56:00,560
Speaker 1: talks about being anti backed. No, I go to the actor.

934
00:56:01,320 --> 00:56:06,839
Speaker 1: Oh Phil, it's hard though. I mean I think that

935
00:56:07,640 --> 00:56:09,680
Speaker 1: I am a person that grew up like whatever the

936
00:56:09,719 --> 00:56:12,800
Speaker 1: doctor said, definitely do it. And I had a really

937
00:56:12,840 --> 00:56:15,560
Speaker 1: bad accident. I was down in New Orleans for jazz

938
00:56:15,640 --> 00:56:18,480
Speaker 1: Fest and riding a bike and I fell off. And

939
00:56:19,200 --> 00:56:21,440
Speaker 1: it wasn't a very dramatic accident, but I had a

940
00:56:21,520 --> 00:56:24,480
Speaker 1: lot of really bad injuries. I broke sixteen of my teeth.

941
00:56:24,640 --> 00:56:27,360
Speaker 1: I tore up my shoulder and broke my ribs and

942
00:56:27,440 --> 00:56:30,440
Speaker 1: my wrist and just was having all of these issues

943
00:56:30,680 --> 00:56:33,719
Speaker 1: and the side effects that the medicine we're giving me,

944
00:56:33,800 --> 00:56:37,759
Speaker 1: we're making me sick. I like, I hit my head

945
00:56:37,800 --> 00:56:40,880
Speaker 1: because I fainted after taking painkillers that they've given me

946
00:56:40,920 --> 00:56:44,160
Speaker 1: at the emergency room. And so it just I think

947
00:56:44,200 --> 00:56:47,040
Speaker 1: that when when you have like a medical crisis and

948
00:56:47,080 --> 00:56:49,560
Speaker 1: you're not getting help from the system, I can see

949
00:56:49,600 --> 00:56:54,960
Speaker 1: and understand how people look for other sources and it's

950
00:56:55,000 --> 00:56:58,919
Speaker 1: hard to try to construct a foundation when they're sort

951
00:56:58,920 --> 00:57:03,000
Speaker 1: of some fundamental things that just don't make sense. And yeah,

952
00:57:03,120 --> 00:57:06,600
Speaker 1: so I I understand like the impulse for it, but

953
00:57:06,840 --> 00:57:11,960
Speaker 1: I think that maybe the doctor isn't the best to

954
00:57:12,000 --> 00:57:16,480
Speaker 1: be the senator, but yeah, or someone who I think

955
00:57:16,480 --> 00:57:19,240
Speaker 1: it's like in the process though of seeing like how

956
00:57:19,360 --> 00:57:22,480
Speaker 1: what they say on TV can help bolster like their

957
00:57:22,560 --> 00:57:25,440
Speaker 1: brand and if it's like aligned with something they're like,

958
00:57:25,440 --> 00:57:27,560
Speaker 1: oh wow, that really juices things. If I kind of

959
00:57:27,640 --> 00:57:29,800
Speaker 1: keep going in this direction, I think, which is really

960
00:57:30,320 --> 00:57:35,240
Speaker 1: you know, think the incentive incentivization of like dubious medical

961
00:57:35,280 --> 00:57:37,840
Speaker 1: advice is also just its own issue too. But I

962
00:57:37,840 --> 00:57:39,640
Speaker 1: think that's a really smart point that like we have

963
00:57:39,720 --> 00:57:42,960
Speaker 1: these celebrity doctors at a time when America's health care

964
00:57:43,000 --> 00:57:47,000
Speaker 1: system is like failing American people to such a degree

965
00:57:47,040 --> 00:57:50,120
Speaker 1: that we're just like TV doctor, what do you have

966
00:57:50,200 --> 00:57:53,040
Speaker 1: to say? What do you yeah? Yeah, oh right, or

967
00:57:53,040 --> 00:57:55,360
Speaker 1: a reflection of where we are, where someone is like

968
00:57:55,440 --> 00:57:57,920
Speaker 1: I don't know, because I can't afford to go to

969
00:57:57,960 --> 00:58:01,320
Speaker 1: the actual doctor, I tune into doctor Oz as a

970
00:58:01,360 --> 00:58:03,440
Speaker 1: fucking last resort, and I think that's all. Yeah, I mean,

971
00:58:03,440 --> 00:58:08,240
Speaker 1: that's very bleak reality that we existed. Nobody ever said

972
00:58:08,240 --> 00:58:10,360
Speaker 1: Oprah is not a genius for like figuring out what

973
00:58:10,360 --> 00:58:15,080
Speaker 1: people are going to gravitate towards, you know, and TV doctors.

974
00:58:15,720 --> 00:58:17,680
Speaker 1: She she was right that they were going to gravitate

975
00:58:17,720 --> 00:58:21,200
Speaker 1: towards them, because they're just wrong. And her choice of

976
00:58:21,240 --> 00:58:24,560
Speaker 1: who the TV doctor should be Jenny McCarthy, was a

977
00:58:24,600 --> 00:58:28,400
Speaker 1: bad choice. Yeah, especially like that that interaction where she's

978
00:58:28,400 --> 00:58:31,880
Speaker 1: just like being asking her, uh, well, where did you

979
00:58:31,920 --> 00:58:34,080
Speaker 1: find that research? And Jenny McCarthy says, the first thing

980
00:58:34,120 --> 00:58:36,360
Speaker 1: I did Google, I put an autism and I started

981
00:58:36,400 --> 00:58:41,680
Speaker 1: my research and then replied, thank God for Google. And

982
00:58:41,760 --> 00:58:43,440
Speaker 1: she says, I don't tell him. You don't think she

983
00:58:43,520 --> 00:58:47,200
Speaker 1: was being sarcastic, like you that would be the funny

984
00:58:47,240 --> 00:58:49,320
Speaker 1: thing to say to be like, oh, great, well, thank

985
00:58:49,360 --> 00:58:54,320
Speaker 1: god for Google that started you down to say earnestly, yeah,

986
00:58:54,320 --> 00:58:57,240
Speaker 1: thank god for Google. Right at audience, Wow, give it

987
00:58:57,320 --> 00:59:00,480
Speaker 1: up for Google. Right, and they're killer drones on their way,

988
00:59:00,680 --> 00:59:04,400
Speaker 1: ellen As always, truly a pleasure having you on the

989
00:59:04,480 --> 00:59:07,480
Speaker 1: daily Zeitgeist? Where can people find you? Follow you all

990
00:59:07,480 --> 00:59:10,320
Speaker 1: that good stuff? Thank you for having me. The podcast

991
00:59:10,520 --> 00:59:12,840
Speaker 1: is called how to Do the Pot. It's available where

992
00:59:12,840 --> 00:59:16,080
Speaker 1: ever you listen, and we're at do the Pot dot com.

993
00:59:16,280 --> 00:59:18,160
Speaker 1: You can follow us on all the socials at do

994
00:59:18,240 --> 00:59:22,680
Speaker 1: the Pot. And if you live in Arkansas, Maryland, Missouri,

995
00:59:22,880 --> 00:59:26,560
Speaker 1: North Dakota or South Dakota, cannabis is on the ballot

996
00:59:26,680 --> 00:59:31,120
Speaker 1: for adult ease legalization. Medical is already allowed. So please

997
00:59:31,400 --> 00:59:35,479
Speaker 1: take a look and everybody vote yeah yeah, more money

998
00:59:35,480 --> 00:59:38,840
Speaker 1: in the coffers. And is there a tweet or some

999
00:59:38,880 --> 00:59:42,200
Speaker 1: of the work of social media you've been enjoying? Yes,

1000
00:59:42,480 --> 00:59:45,960
Speaker 1: I found one this morning that I wish that it

1001
00:59:46,040 --> 00:59:48,400
Speaker 1: wasn't the truth for me, but it it was like

1002
00:59:49,440 --> 00:59:53,800
Speaker 1: my waiting uh in Kart at my Amazon cart is

1003
00:59:53,840 --> 00:59:56,560
Speaker 1: like about one point three million dollars right now for

1004
00:59:56,640 --> 01:00:00,320
Speaker 1: all the things that I have put in there, Like

1005
01:00:00,480 --> 01:00:03,040
Speaker 1: when you have a new baby. There's just so much

1006
01:00:03,120 --> 01:00:05,280
Speaker 1: you throw in there, and I still feel like they're

1007
01:00:05,320 --> 01:00:09,200
Speaker 1: probably bottles, you know, for newborns, and it's it's a

1008
01:00:09,240 --> 01:00:11,120
Speaker 1: big number now so I could relate. I need to

1009
01:00:11,120 --> 01:00:15,200
Speaker 1: go in and do some deleting. Miles, where can people

1010
01:00:15,200 --> 01:00:19,040
Speaker 1: find you? What's a tweet you've been enjoying? Uh? I

1011
01:00:19,080 --> 01:00:21,760
Speaker 1: guess Twitter. I mean I'm not really posting anything, just

1012
01:00:21,920 --> 01:00:27,959
Speaker 1: I'm just watching the fire from the side of gray. Yes, yes, yes,

1013
01:00:28,480 --> 01:00:31,040
Speaker 1: check Jack and I out on our basketball podcast. Miles

1014
01:00:31,040 --> 01:00:34,080
Speaker 1: and Jack got mad because we do have Matt Boosty's

1015
01:00:34,080 --> 01:00:36,320
Speaker 1: you want to see us dunk. I gotta pay us.

1016
01:00:36,320 --> 01:00:38,240
Speaker 1: You gotta pay us one million dollars and then we

1017
01:00:38,280 --> 01:00:41,680
Speaker 1: will met. We will let it fly. And also yes,

1018
01:00:41,800 --> 01:00:46,320
Speaker 1: exactly and my weed in reality TV Synergy podcast for

1019
01:00:46,600 --> 01:00:49,600
Speaker 1: twenty day Fiance when we talk about ninety day fiance

1020
01:00:49,760 --> 01:00:53,880
Speaker 1: and all that good trashy ship. Some tweets that I like,

1021
01:00:54,280 --> 01:00:56,040
Speaker 1: really one of the first one, it's it's from Brody

1022
01:00:56,080 --> 01:00:58,400
Speaker 1: Group to at Brody Group to tweet it. Free speech

1023
01:00:58,400 --> 01:01:02,240
Speaker 1: defenders are never like my right to call myself prom

1024
01:01:02,360 --> 01:01:05,560
Speaker 1: queen of the fog. They're always like our men in

1025
01:01:05,600 --> 01:01:08,720
Speaker 1: blue die from Fetaneal Tricker treating every day and we

1026
01:01:08,760 --> 01:01:13,520
Speaker 1: won't let them say the N word, which really feels

1027
01:01:13,600 --> 01:01:16,840
Speaker 1: like this fucking state of things. So yeah, that that's

1028
01:01:16,840 --> 01:01:20,360
Speaker 1: just kind of what to Twitter is at the moment. Yeah, yeah,

1029
01:01:20,360 --> 01:01:24,240
Speaker 1: I'm just like dumb tweets like favorite movie lines. And

1030
01:01:24,640 --> 01:01:29,760
Speaker 1: it's the scene where Roy Scheider first sees Jaws and

1031
01:01:29,960 --> 01:01:34,240
Speaker 1: to frame of that and he's doing the chumming, Jaws

1032
01:01:34,280 --> 01:01:38,560
Speaker 1: comes out of the water and then it's him saying,

1033
01:01:39,040 --> 01:01:42,360
Speaker 1: holy sh it, it's Jaws instead of I think we're

1034
01:01:42,360 --> 01:01:47,480
Speaker 1: gonna need a bigger boat and that is where I'm at.

1035
01:01:49,360 --> 01:01:53,200
Speaker 1: Only ship, it's Jaws. You can find that was the

1036
01:01:53,200 --> 01:01:56,000
Speaker 1: subtext of that line. By the way, you can find

1037
01:01:56,240 --> 01:02:00,000
Speaker 1: me on Twitter at Jack Underscore O'Brien. You can find

1038
01:02:00,160 --> 01:02:02,200
Speaker 1: us on Twitter at daily zeit Guys. We're at the

1039
01:02:02,320 --> 01:02:06,080
Speaker 1: Daily Zeitgeist on Instagram, we have a Facebook fan page

1040
01:02:06,080 --> 01:02:08,280
Speaker 1: on a website, Daily zeit guys dot com, where we

1041
01:02:08,360 --> 01:02:12,320
Speaker 1: post our episodes and our foot note. We link off

1042
01:02:12,400 --> 01:02:14,560
Speaker 1: the information that we talked about today's episode as what

1043
01:02:14,720 --> 01:02:16,640
Speaker 1: was the song that we think you might enjoy? Miles,

1044
01:02:16,680 --> 01:02:19,439
Speaker 1: what song do we think people might enjoy? Uh? This

1045
01:02:19,520 --> 01:02:23,560
Speaker 1: is a track since election day tomorrow and you know

1046
01:02:24,240 --> 01:02:26,600
Speaker 1: we want to avoid as much fuckery as possible. This

1047
01:02:26,640 --> 01:02:30,160
Speaker 1: track called clean Race, you know by Scotty. This is

1048
01:02:30,160 --> 01:02:32,880
Speaker 1: a reggae like Let's run a clean race and we're

1049
01:02:32,920 --> 01:02:35,600
Speaker 1: not talking about racial ship. That's what I said. That's why,

1050
01:02:35,760 --> 01:02:38,440
Speaker 1: that's why I prefaced it with the election is coming up.

1051
01:02:38,640 --> 01:02:41,600
Speaker 1: We don't want fucory. Let's run a clean race. Here.

1052
01:02:42,000 --> 01:02:44,120
Speaker 1: This is by Scotty. This is from the Mighty Trojan

1053
01:02:44,240 --> 01:02:47,920
Speaker 1: sound like Trojan Vaults album. So just some nice reggae,

1054
01:02:48,120 --> 01:02:52,080
Speaker 1: you know, some deep step. Put that on, uh and

1055
01:02:52,160 --> 01:02:54,720
Speaker 1: prepare yourself to vote or turn in your ballot or

1056
01:02:54,760 --> 01:02:58,400
Speaker 1: whatever and maybe how to be confronted by us cost

1057
01:02:58,480 --> 01:03:03,200
Speaker 1: playing is some call dude character. Every participation from the

1058
01:03:03,240 --> 01:03:06,720
Speaker 1: Zeit Geys listeners, you gotta you gotta vote, all right? Well,

1059
01:03:06,720 --> 01:03:09,200
Speaker 1: The Daily Zeit Guys production by Heart Radio. For more

1060
01:03:09,240 --> 01:03:12,160
Speaker 1: podcast for my Heart Radio, visit the I Heart Radio app,

1061
01:03:12,200 --> 01:03:15,160
Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

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Speaker 1: That is going to do it for us this morning,

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Speaker 1: back this afternoon to tell you what is trending and

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Speaker 1: we will talk to you all then. By