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Speaker 1: Hello the Internet, and welcome to season one, Episode one

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Speaker 1: after Daily's like guys to production of Heart Radio. Wow Uh.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into America's shared consciousness. And it is Monday, July. My

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Speaker 1: name is Jack O'Brien a k. Jack Butt is white,

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Speaker 1: and I cannot lie. Ah, you volleyballers can't deny that

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Speaker 1: when Jack digs for the ball with his little sweaty

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Speaker 1: hands and that white things in your face, you go blind.

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Speaker 1: That is courtesy of official Dickhead imagining the world, as

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Speaker 1: we did on recent episode where I am forced to

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Speaker 1: adhere to the beach Volleyball shorts guidelines and how bad

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Speaker 1: that would be for everyone, just everyone. That's an intense

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Speaker 1: fan fix. That's nice. Yeah, yeah, I kind of enjoyed it. Well, Hey,

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Speaker 1: who's that? Who's that voice? I'm thrilled to be joined

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Speaker 1: by today's special guest co host, a hilarious comedian, Emmy

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Speaker 1: nominative writer, all around brilliant artist who co hosts The

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Speaker 1: Bechdel Cast and created the podcast My Year in Mensa

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Speaker 1: Lolita Podcast and at Cast, which is in Act four.

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Speaker 1: I think Act five might be dropping pretty soon. Just

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Speaker 1: digging into the cultural history of the Kathy Comics. She

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Speaker 1: is Jamie laft k Live lofed Love, a k eat

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Speaker 1: pray Love. How are you, Jamie? I'm good. I'm in

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Speaker 1: a basement in Wisconsin. I have never been better. Good

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Speaker 1: is that you? You went out there for the Milwaukee

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Speaker 1: Bucks championship just to celebrate. Yeah, I was. I went

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Speaker 1: out into the middle of Milwaukee and begged someone to

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Speaker 1: sneeze into my mouth. I've never seen a more a

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Speaker 1: less COVID safe looking environment than so sinister. Yeah. Very

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Speaker 1: it was far away from that. Watching the game, the game,

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Speaker 1: which also I begin the Big Game, I didn't even

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Speaker 1: realize it was the big game. When they won, I

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Speaker 1: was like, oh, when is the next game? And then

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Speaker 1: they brought the trophy out. I was like, oh, that

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Speaker 1: was the game. Well that's very exciting and humiliated myself. Yeah,

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Speaker 1: the world is revolving around Wisconsin these days. Jamie Loftus

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Speaker 1: is there and the Bucks are the world champs. Well, Jamie.

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

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Speaker 1: by the extremely talented digital activist and podcast host of

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Speaker 1: the brilliant podcast There Are No Girls on the Internet,

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Speaker 1: which did a special mini series on disinformation in our

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Speaker 1: modern disinformation age called disinformed. That want to shorty and

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Speaker 1: that is especially timely right now as disinformation is killing us. Literally,

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Speaker 1: Please welcome brit I love the airhorn introduction. P. How

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Speaker 1: are you? I am doing well. I'm not lucky enough

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Speaker 1: to be in a basement in Wisconsin. I am in

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Speaker 1: a kitchen in Washington, d C. I am in recovery

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Speaker 1: for a broken ankle, which but other than that, I

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Speaker 1: am good. I wish it was like a good story.

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Speaker 1: I was on a three night canoe trip on the

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Speaker 1: Delaware Water Reserve, and that's a good story, a good story. Well,

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Speaker 1: you know what's funny is that like I was like, oh,

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Speaker 1: this is gonna be kind of a test of my

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Speaker 1: outdoor skills. And then first night I was like so

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Speaker 1: so overconfident on the river. We'll just say this. It

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Speaker 1: was a combination of stormy weather, over confidence, and alcohol.

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Speaker 1: I mean, like, I that's story is great, being drunk

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Speaker 1: in a storm on a like on a canoe trip.

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Speaker 1: The last time I was like, my life was like

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Speaker 1: suspended by an injury. I think it was from like

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Speaker 1: a sneeze like throughout my back. Yeah, that's what sucks

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Speaker 1: about getting older, it's like you get injured. It it's like,

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Speaker 1: oh I just like got up too fast or I

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Speaker 1: just like sat down weird, and now my back is

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Speaker 1: a out. I have a hip, like I always thought

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Speaker 1: like knees. It was like a bad old person thing,

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Speaker 1: but like my hip is starting to hurt. When I after,

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Speaker 1: I like go for a run and that that makes

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Speaker 1: you feel real, real fucking old man. God, I hurt

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Speaker 1: my I hurt my neck comforting my brother on a

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Speaker 1: roller coaster. My brother's twenty four years old, but he

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Speaker 1: was really scared. What coaster was it? Do you remember? Yeah?

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Speaker 1: It was in um it was at six Flags, New

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Speaker 1: England and it was the Wicked Cyclone. We went on

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Speaker 1: the most New England roller core it was, and it

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Speaker 1: was awesome. It was so good. But I forgot. My

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Speaker 1: brother is like has historically for his entire life been

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Speaker 1: terrified of roller coasters and was kind of going on

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Speaker 1: to appease me, and yeah, he was upset. Roller coasters

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Speaker 1: are so fun, they're so good. I was like, your

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Speaker 1: coaster head, I'm starting to be a coaster had I

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Speaker 1: was when I was a kid, And then I just

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Speaker 1: did a bunch of roller coasters recently and that they

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Speaker 1: were really fun. All right, I really missed him and

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Speaker 1: didn't realize it. Yeah, same cool. Well, Bridget, we are

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Speaker 1: going to get to know you a little bit better

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Speaker 1: in a moment. First, a couple of things we're talking about.

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Speaker 1: A legal expert has asked and answered the question, can

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Speaker 1: Fox News be sued for killing all these people with

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Speaker 1: their anti vax coverage? Turns out they can. So that's exciting.

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Speaker 1: So apparently Trump had to file his earnings are explained

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Speaker 1: what he did with all the money he raised during

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Speaker 1: the Stop the Steel thing in late July, So we're

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Speaker 1: gonna find out what he spent that money on. God, Yeah,

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Speaker 1: it's good. It's good. It's good stuff, good stuff. Yeah,

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Speaker 1: it's really fun stuff. We're gonna talk about things that

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Speaker 1: we love that will be ruined by wildfires or at

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Speaker 1: least affected negatively by them. We'll look at what we

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Speaker 1: are have to look forward to with music festival season

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Speaker 1: right around the corner and COVID not going anywhere. We

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Speaker 1: will check in with the Tokyo Ship Show. We will

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Speaker 1: look at streaming numbers, all of that plenty more. But first, Bridget,

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

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Speaker 1: your search history. This is a little bit of a

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Speaker 1: weird one if you kind of grew up around the

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Speaker 1: time that I did. Do you remember the show Barney

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Speaker 1: the Kids Show? Yeah, it was my favorite show right up?

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Speaker 1: Do you guys remember this? Like very specific kind of

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Speaker 1: humor are like anti Barney humor where people will make

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Speaker 1: up songs to the in the vein of the Barney

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Speaker 1: theme song, but it will be like I love I

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Speaker 1: love me. Let's all go and kill Barney. Let's all

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Speaker 1: go and kill Barney. I mean that just came off

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Speaker 1: the dome right there. But really, okay, yeah, I'm talented.

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Speaker 1: That is talent. I was like, wow, fitting absolute fire

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Speaker 1: over there. New Verse, just drop, new Verse, just drop.

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Speaker 1: I'm gonna sell out an arena in Atlanta and people

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Speaker 1: can watch me. Just kind of vibe to my Barney tracks,

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Speaker 1: my Barney riffs. So what are you? Are you? What's

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Speaker 1: going on with Barney? So my last my last thing

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Speaker 1: I had Google searched was the Wikipedia page for anti

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Speaker 1: Barney humor because I got to thinking I saw this

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Speaker 1: thing on TikTok. I was like, I used to we

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Speaker 1: used to sing that anti Barney song when I was

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Speaker 1: growing up and it turns out that kids all over

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Speaker 1: the country were and this you know, in the comments

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Speaker 1: people of this TikTok video, people were like, how did

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Speaker 1: we all know the same niche? Like anti Barney song.

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Speaker 1: Somebody in the comments speaking of like feeling old was

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Speaker 1: like obviously YouTube, Well that was like many many, many,

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Speaker 1: many many years before YouTube. Yeah, I felt very humbled

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Speaker 1: and old. But it really got me thinking, like those

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Speaker 1: kind of things where every middle school or no matter

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Speaker 1: where you grew up, he knows about them, Like that

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Speaker 1: rum where that Marilyn Manson removed his rib to to

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Speaker 1: give himself blow jobs, Like how did we all? How

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Speaker 1: did we all kind of like latched onto that when

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Speaker 1: there wasn't the internet? Like where did that all come from?

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Speaker 1: Are interesting because it's always like a mad lib, just

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Speaker 1: depending on where you were, because I heard Prince removed

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Speaker 1: his rib to suck his own dick. There's also the

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Speaker 1: one where various celebrities had to have their stomach pumped

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Speaker 1: because it was so full of semen. I've heard those

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Speaker 1: and like that one it like started as Rod Stewart

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Speaker 1: for some reason, where did you go to school? Who? University? Wait?

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Speaker 1: You had you not heard that one? Jamie the stomach

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Speaker 1: pump thing, I'd never heard. I'd heard there, I'd heard

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Speaker 1: about different celebrities removing their ribs to suck their own dicks.

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Speaker 1: I hadn't heard about the semen pump. This is I

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Speaker 1: think that one. Maybe like people just got too smart

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Speaker 1: to believe that one, because it's just like an ungodly

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Speaker 1: amount of semen that that would require. But it was

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Speaker 1: like Rod Stewart New Kids on the Block, Britney spears

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Speaker 1: Little Kim and like it's just weird. They don't have

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Speaker 1: anything in common, but the song one is really good.

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Speaker 1: I actually had that thought around Christmas with the jingle

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Speaker 1: bells Batman smells Robins. Do you guys know that one? Yeah?

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Speaker 1: Of course, yeah yeah. But like how did they spread

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Speaker 1: like such? What? Like were people just like calling their

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Speaker 1: cousin on the other side of the country being like, yo,

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Speaker 1: you're looking for yea to this? How is it that

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Speaker 1: like you growing up in you grew up in Wisconsin? Right?

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Speaker 1: Who did? I thought you did? Maybe not? I grew

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Speaker 1: up like all over but Ohio. I never lived in Wisconsin, Okay,

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Speaker 1: I said, Ohio and Wisconsin are the same in my head. Yeah, yeah,

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Speaker 1: it's like how are we all like like singing the

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Speaker 1: same niche dirty songs like me and Virginia as a

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Speaker 1: middle schooler you in Ohio, Like how where are we

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Speaker 1: getting this? Like I'm just so curious, Like how this

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Speaker 1: particular niche kind of cultural thing spread like wildfire when

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Speaker 1: we were kids. My theory is cousins from out of town. Yeah, yeah,

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Speaker 1: because we are around our cousins around the holidays. So

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Speaker 1: maybe that's why that one is like universal. I remember

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Speaker 1: my cousin from Baltimore, like who I thought? She was

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Speaker 1: like so cool and sophisticated because she was just from

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Speaker 1: somewhere that I wasn't from. And she showed me what

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Speaker 1: smash Mouth was when I when we went down to

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Speaker 1: meet her, and I was like, what is this. This

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Speaker 1: is amazing and she's like, yeah, it's more than just Shrek,

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Speaker 1: And it was really more than just Shrek. It's like

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Speaker 1: she was the peak of sophistication from Baltimore. Like everything

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Speaker 1: being from Baltimore is the sophistication. Because my older cousins

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Speaker 1: were from Newark, and I remember we didn't have Nintendo

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Speaker 1: in our house and my the first time that we

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Speaker 1: played Nintendo was visiting my my older cousins in Newark,

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Speaker 1: and it was the best thing I'd ever seen. I'd

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Speaker 1: never seen anything so cool in my life. Cousin pilgrimages

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Speaker 1: are exciting. Yeah. I was just thinking about my cousin's

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Speaker 1: bullying me when I was like nine years old, Like

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Speaker 1: something they made fun of me about when I was nine,

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Speaker 1: just like recurred in my head just this morning. So

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Speaker 1: oh wow, isn't that just on a loop? Yeah, we

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Speaker 1: get them, where are they and I'll be I'll be

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Speaker 1: seeing them very soon. So Tim and Mike A yeah,

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Speaker 1: but the power of the pre internet meme is is

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Speaker 1: no joke. That's a good one. What is something you

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Speaker 1: think is overrated? Something that I think is overrated is

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Speaker 1: something that I think a lot of folks can maybe

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Speaker 1: identify with, which is just general fashion. I feel like

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Speaker 1: with COVID, you know, all of us staying home, I

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Speaker 1: know that I have kind of leaned into, leaned away from,

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Speaker 1: like any kind of fashion trend that I'm just I

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Speaker 1: feel like we're all just dressing like the way that

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Speaker 1: we wanted to when we were fourteen, and that's cool. Um.

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Speaker 1: The other day, I was out, you know, at a

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Speaker 1: bar or something, and I was like, Wow, I'm wearing

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Speaker 1: a Duran Duran T shirt over denim overalls that I

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Speaker 1: have cut into shorts and like clogs, and I think

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Speaker 1: I look great. I think everybody given up on fashion advice.

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Speaker 1: We're just doing our thing, and I think it's great.

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Speaker 1: Hard agree. I haven't like, I don't know. I just

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Speaker 1: visited home and found a bunch of like old like

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Speaker 1: oversight is closed from high school. And I'm like, yeah,

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Speaker 1: I think we're just gonna We're just gonna bring them back,

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Speaker 1: and I have no interest in involving. I feel like

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Speaker 1: there is like a good fashion regression trend going on

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Speaker 1: that I'm very very here for. Yeah. So I've been

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Speaker 1: recording from the studio recently because of some technical issues

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Speaker 1: at my home studio, and there are people here and

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Speaker 1: I've found that I like, for the first time in

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Speaker 1: two years, I was like, oh, maybe I shouldn't wear

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Speaker 1: shorts every day, Like this is like uh, super producer

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Speaker 1: soph he was here. She was like, you look like

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Speaker 1: such a dead right now. I have like shorts on

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Speaker 1: a fucking Fannie peck. Did you have your phone clipped

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Speaker 1: on a holster? There's like reflective sunglasses, polarized please. Yeah,

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Speaker 1: I just got off book. You've reached, You've reached your

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Speaker 1: final form. It's a good thing. This is what I

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Speaker 1: was meant to be. Yeah, what is something you think

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Speaker 1: is underrated? Bridge? Something I think is underrated is trashy books,

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Speaker 1: like trashy novels, trashy thrillers. Since I've been injured, I've

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Speaker 1: had a lot of time on my hands, and so

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Speaker 1: I've been trying to get back into reading. And I

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Speaker 1: sort of had this weird relationship with reading where I

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Speaker 1: always felt like I should be reading more, but I

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Speaker 1: wasn't really a big reader, and I felt like I

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Speaker 1: wanted to be the kind of person that like read

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Speaker 1: like very serious nonfiction books. And I mentioned The Beach

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Speaker 1: not that long ago on vacation, and the two books

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Speaker 1: that I brought with me were The Body Keeps Score,

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Speaker 1: which is just like very good but like very heavy

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Speaker 1: book about trauma, and I think it was the New

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Speaker 1: Gym Crows of the book about like Yeah. And then

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Speaker 1: on this vacation, I did not crack either of these books,

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Speaker 1: and they took up a lot of space in my bag.

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Speaker 1: It's almost like, wait, people don't want to read like

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Speaker 1: heavy dense stuff on vacation. You want to read like

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Speaker 1: a beach read, something that's you know, just a page turner.

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Speaker 1: So recently I've been reading a lot of kind of

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Speaker 1: trashy books and they're the best. It's so much fun.

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Speaker 1: I will never I will never struggle through another like

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Speaker 1: dense nonfiction read because I feel like I have to

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Speaker 1: when I could be demolishing, you know, trashy romance novels

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Speaker 1: or Tom Clancy thrillers, things that maybe aren't you know, highbrow,

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Speaker 1: but they're good, right, They're very good. They're page turners. Yeah,

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Speaker 1: that's what I read. What like when I loved reading

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Speaker 1: when I was you know, twelve thirteen, I was like

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Speaker 1: a Michael Creighton like extra like that sort of thing

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Speaker 1: that I was like really into and I didn't I

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Speaker 1: didn't give a shit if like, yeah, reading doesn't need

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Speaker 1: to be good for you like reading reading. I remember reading, yeah,

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Speaker 1: the the what is it called the Prey in like

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Speaker 1: the bathtub over a period of months about the tiny

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Speaker 1: little computers, Yeah, the nan know, the nano butt. Yeah,

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Speaker 1: it was actually post post Creighton for me that I

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Speaker 1: didn't read that one. That was like I was more

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Speaker 1: the Spear era. Oh you think Jurassic Park is good

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Speaker 1: you got. Oh, what's the best Michael Crichton book? Like,

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Speaker 1: where should I start? I've ever read The Lost World.

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Speaker 1: It's been a long time. The Lost World, Well, Jurassic

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Speaker 1: Park is better than the Lost World. And Spear, I

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Speaker 1: think is probably the best of his novels. Was like

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Speaker 1: a big time climate change denier, wasn't him? Star? I

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Speaker 1: just wouldn't. I don't know why I wouldn't expect that

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Speaker 1: of him, but I wouldn't. I was very surprised because

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Speaker 1: he went to medical school, Like yeah, I was like, oh,

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Speaker 1: because I thought of him as Mr. Smart guy. Yeah,

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Speaker 1: but nothing, uh, nothing can trump being a rich white

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Speaker 1: guy for like twenty years than you fus you up.

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Speaker 1: It's true. I remember having an argument with a like

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Speaker 1: a friend of a friend about climate change and hit

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Speaker 1: me with the well the Michael Crichton school of thought

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Speaker 1: is and I was like, oh my there, like all right, wait,

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Speaker 1: what have you been reading? Bridget? Okay, So I just

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Speaker 1: finished the this is Please don't make fun of me.

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Speaker 1: The novel version of the Netflix show you Oh my God.

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Speaker 1: The show based on the novel, or so it was

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Speaker 1: a novel for It's actually three novels. It's called The

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Speaker 1: first one is You, the second one is Hidden Bodies.

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Speaker 1: The third one I have not read. I forget what

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Speaker 1: it's called, but so like, the show is not very good,

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Speaker 1: but I watched it all in two days, right, So,

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Speaker 1: like you tell me the novel is the same way.

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Speaker 1: I'm not going to say it's a good book. But

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Speaker 1: did I finish it in one day? Yes? I did?

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Speaker 1: Did Did I stay up every night reading it? Yes?

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Speaker 1: I did? What That phenomenon is always so interesting to me,

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Speaker 1: where it's like it can take you months to get

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Speaker 1: through something that you know is good, but then something

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Speaker 1: that is, like You're like, this is bad for me,

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Speaker 1: and I don't even know if I'm fully enjoying it,

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Speaker 1: but I need to consume it as quickly as possible.

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Speaker 1: And honestly, that's totally changed my relationship with reading, because

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Speaker 1: books that I feel like I quote should read, I

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Speaker 1: will be reading it. It'll hit me a month to

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Speaker 1: get through, and when I'm finally done with it, I'm

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Speaker 1: like citing it every day like a goddamn egg time

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Speaker 1: because I'm just so happy that I finished a book.

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Speaker 1: To make it worthwhile, yeah, I gotta bring it up

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Speaker 1: every party, every reference. I gotta bring it up if

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Speaker 1: my money is worth Oh yeah, of course. I will

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Speaker 1: never throw out a book that I've actually read. I'm like,

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Speaker 1: that is a trophy that someone comes over and you

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Speaker 1: need to be like, yeah, read it, definitely read. Oh

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Speaker 1: ever heard of books? I definitely read. The first book

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Speaker 1: I read all the way through was the novelization of

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Speaker 1: Jaws Too. Not the novel Jaws is based on the

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Speaker 1: novelization of Joe's Too. So I respect a novelization. Yeah,

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Speaker 1: that's aassic literature and I still have it on my bookshelf.

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Speaker 1: Nobody will take that away from me. I don't, but

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Speaker 1: I wish I did. All right, let's take a quick

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Speaker 1: break and we'll come back and talk about the news.

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Speaker 1: And we're back and Fox News. Let's talk about Fox News.

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Speaker 1: We've been speculating for the past Like last week there

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Speaker 1: was this turn right where suddenly Sean Hannity fucked with

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Speaker 1: a vaccine. Like some of the people on the Fox

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Speaker 1: Morning Show. We're talking about how the vaccine works, which

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Speaker 1: was new, you know, like their party line had been

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Speaker 1: like we're just asking questions here, but who's to say

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Speaker 1: if the vaccine works, are not like just real like

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Speaker 1: the same the same ship you hear from anti baxers.

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Speaker 1: It's just a difference of opinion. What you you guys

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Speaker 1: are gonna thought control. Ben Shapiro, Oh, thanks, I was

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Speaker 1: trying to do Tucker Carlson sore for Charlie Kirk, whoa okay,

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Speaker 1: like open to interpretation. They share a voice. So anyways,

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Speaker 1: we were wondering, like, did somebody threaten them with a lawsuit,

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Speaker 1: because that's like what made them change their tune when

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Speaker 1: it came to the big lie and like but whether

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Speaker 1: the voting machines had like stolen votes from Trump and

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Speaker 1: then you know that they were open to that story

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Speaker 1: until the voting machine company was like, hey, we're suing

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Speaker 1: you for two billion dollars and then suddenly they were

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Speaker 1: just like reading statements on air. So we were wondering

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Speaker 1: if that happened with COVID and with vaccinations. We still

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Speaker 1: don't know the answer to that, but we do know

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Speaker 1: that they can be sued. A legal expert for Slate

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Speaker 1: it was basically explaining that they're open to a lawsuit

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Speaker 1: if somebody dies from COVID because they didn't get vaccinated

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Speaker 1: after watching Tucker Carlson's show, they can be sued under

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Speaker 1: the common law theory of fraud. So basically you just

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Speaker 1: have to prove that the defendant made a misstatement of

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Speaker 1: fact knowing that it was false, or with reckless disregard

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Speaker 1: as to whether it was true or false. Okay, So

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Speaker 1: that so it's like contingent on them being too being

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Speaker 1: able to prove that Fox News knew it was bullshit

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Speaker 1: when they were saying it, yeah, or just didn't do

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Speaker 1: the work to find it out, like reckless disregard the

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Speaker 1: defendant did no investigation at all, but just put the

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Speaker 1: statement out there. Yeah, And I mean we in addition

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Speaker 1: to you know, being obvious that they like the information

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Speaker 1: is just everywhere and they're supposed to be a journalistic institution.

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Speaker 1: We talked last week about how they have a clear

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Speaker 1: pass that they are using behind the scenes at Fox

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Speaker 1: News that like shows that like you can you can

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Speaker 1: only work if you have had the vaccine, so they know,

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Speaker 1: like they're operating on a day to day basis and

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Speaker 1: in a world where the vaccine works, and then coming

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Speaker 1: on the air and uh saying things like just a

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Speaker 1: list of a couple of the things we have Tucker

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Speaker 1: Carlson saying that COVID is really about social control and

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Speaker 1: questioning whether the vaccine works. Since those who are vaccinated

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Speaker 1: are still urged to take precautions, maybe it doesn't work

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Speaker 1: and they're simply not telling you that. So, yeah, that

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Speaker 1: man needs to be put through a shredder, just like

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Speaker 1: the industrial shredder. Very midwest of you to go far.

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Speaker 1: It's everyone, it's weird and everyone everyone's backyard here there's

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Speaker 1: a gigantic shredder. So it's just saying on my mind

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Speaker 1: with a leg hanging out of it in case you sin? Yeah,

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Speaker 1: how what is the kind of COVID masking vibe where

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Speaker 1: you guys are? And California, it seems like people have

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Speaker 1: gotten the message. They've also like changed the law in

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Speaker 1: southern California or in l A County saying that you

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Speaker 1: have to wear a mask? Are you is? Are people

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Speaker 1: still wearing masks? And Wisconsin and d C? No, it

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Speaker 1: as demonstrated by the Bucks game the other night, no

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Speaker 1: one is wearing a mask. You can't like I have

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Speaker 1: seen people choosing to wear masks, like at the gas

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Speaker 1: station and stuff. And unlike the last time I was here,

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Speaker 1: people are no longer making fun of you if you

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Speaker 1: are wearing a mask In public, So I view that

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Speaker 1: as um as progress. That's pretty cool. Yeah, I get

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Speaker 1: relentlessly bullied. Jesus Christ, that's so like who cares if

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Speaker 1: if you if you're a stranger is wearing a mask,

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Speaker 1: who cares? And also, even way before COVID, people who

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Speaker 1: had like, um, you know, like who are you know compromised?

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Speaker 1: Were mask My dad were masks to travel way before COVID,

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Speaker 1: Like who cares? Like, what is it your business? Somebody

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Speaker 1: you got to bully them or have have an opinion

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Speaker 1: about it? What do you care if someone that you

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Speaker 1: don't know in public is wearing a mask? How does

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Speaker 1: it impact your life? It's very bizarre. Yeah, there was

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Speaker 1: like a remember a guy giving me just a minute long,

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Speaker 1: little little song and dance about like are you going

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Speaker 1: to rob my business? Because bandits wear masks? And I

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Speaker 1: was like, do you want me to buy a diapepsi

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Speaker 1: here or not? They're like, I don't know what your

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Speaker 1: end game is. I mean that is when there's a

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Speaker 1: One of our listeners said that their favorite wing place

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Speaker 1: now prohibits masks because of the risk of robbery, which

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Speaker 1: is there. There's just very It seems like things have

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Speaker 1: turned to the anti vaccing and anti masking people now

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Speaker 1: like going on the offensive, like being like you can't

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Speaker 1: you you can't stay at our Airbnb if you are vaccinated,

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Speaker 1: and like being aggressively against mask because I think Tucker

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Speaker 1: Carlson another thing where he was like, if you see

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Speaker 1: somebody wearing a mask around your child, you should call

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Speaker 1: the police. Sure. Yeah, it's responsibly advocating for the misuse

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Speaker 1: of public services. Totally very responsible. Great. How is DC?

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Speaker 1: DC is interesting? I will say DC like we are

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Speaker 1: by and large a city of people who just want

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Speaker 1: to follow the rules. We're like, fine, whatever it is

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Speaker 1: we're supposed to do. Fine. I do think with the masking,

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Speaker 1: I think people are confused, right, Like I don't. DC

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Speaker 1: is not a place where people are gonna where most people,

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Speaker 1: I should say, are gonna be anti mask or for

425
00:25:39,720 --> 00:25:42,240
Speaker 1: the sake of being anti masker. I think that when

426
00:25:42,240 --> 00:25:44,960
Speaker 1: we got that federal guidance that you didn't have to

427
00:25:45,000 --> 00:25:48,359
Speaker 1: wear masks indoors if you were vaccinated, I think that

428
00:25:48,359 --> 00:25:51,040
Speaker 1: that frankly, I mean, I'm no medical professional, but I

429
00:25:51,040 --> 00:25:54,240
Speaker 1: think that that probably confused a lot of people. So mean,

430
00:25:54,440 --> 00:25:56,359
Speaker 1: like when you go to Target and stores. In my

431
00:25:56,400 --> 00:25:59,320
Speaker 1: neighborhood in d C and Columbia Heights, they still have

432
00:25:59,400 --> 00:26:02,080
Speaker 1: the signs like please wear a mask. I don't think

433
00:26:02,080 --> 00:26:05,120
Speaker 1: that people are trying to pooh pooh, you know that

434
00:26:05,119 --> 00:26:07,560
Speaker 1: that guidance. But I just think the federal guidance be

435
00:26:07,720 --> 00:26:09,479
Speaker 1: or the federal messaging being that oh, you don't need

436
00:26:09,520 --> 00:26:11,720
Speaker 1: to wear a masks has just confused everybody. So I

437
00:26:11,760 --> 00:26:13,680
Speaker 1: would say, when I go into the grocery store in

438
00:26:13,760 --> 00:26:17,359
Speaker 1: DC now, it's probably half people wearing masks and have

439
00:26:17,520 --> 00:26:19,399
Speaker 1: people not. I don't think the people who are not

440
00:26:19,480 --> 00:26:21,560
Speaker 1: wearing masks, I don't think they're trying to be like

441
00:26:21,920 --> 00:26:26,720
Speaker 1: anti mask whatever, because that's not really a prevalent thing,

442
00:26:26,880 --> 00:26:29,520
Speaker 1: particularly in my area of DC. I just think people

443
00:26:29,560 --> 00:26:32,399
Speaker 1: are confused, and we've got too much conflicting guidance and

444
00:26:32,440 --> 00:26:34,120
Speaker 1: people don't know what to do. Like we we don't

445
00:26:34,160 --> 00:26:38,840
Speaker 1: really have one unifying message, even though our local guidance

446
00:26:38,840 --> 00:26:40,919
Speaker 1: still is like wear a mask inside. It's just I

447
00:26:40,920 --> 00:26:44,119
Speaker 1: think people are confused. Yeah, no, for sure, I I

448
00:26:44,119 --> 00:26:46,800
Speaker 1: think that's totally fair about it about the masking. But

449
00:26:46,920 --> 00:26:51,720
Speaker 1: the the vaccine stuff seems pretty it seems like now

450
00:26:51,880 --> 00:26:55,480
Speaker 1: everybody is being pretty clear about that, even Alabama Governor

451
00:26:55,680 --> 00:26:58,639
Speaker 1: k i Vy is saying, folks are supposed to have

452
00:26:58,680 --> 00:27:02,399
Speaker 1: common sense, but it's time to start blaming the unvaccinated folks,

453
00:27:02,440 --> 00:27:05,560
Speaker 1: not the regular folks. It's the unvaccinated folks that are

454
00:27:05,800 --> 00:27:09,520
Speaker 1: letting us down. You know, she's somebody who ended the

455
00:27:09,520 --> 00:27:12,200
Speaker 1: state's mask mandate early and it's chosen not to spend

456
00:27:12,200 --> 00:27:16,239
Speaker 1: the state emergency COVID funds on like incentive programs. So like,

457
00:27:16,560 --> 00:27:21,000
Speaker 1: this is definitely another situation where like Republicans are coming

458
00:27:21,040 --> 00:27:24,280
Speaker 1: around on something that like should not have required any

459
00:27:24,520 --> 00:27:29,679
Speaker 1: convincing but oh yeah, and to that point, this is

460
00:27:29,680 --> 00:27:32,720
Speaker 1: the same person who in you know, not too long ago,

461
00:27:32,880 --> 00:27:37,920
Speaker 1: was spreading unfounded fears about things like vaccine passports. Right, Like,

462
00:27:38,320 --> 00:27:40,760
Speaker 1: let's not pretend like k Ivy did not spend a

463
00:27:40,800 --> 00:27:45,199
Speaker 1: good portion of the year politicizing vaccines and you know,

464
00:27:45,400 --> 00:27:49,760
Speaker 1: downplaying the need to get them and really spreading irresponsible hysteria,

465
00:27:50,080 --> 00:27:55,480
Speaker 1: putting her own constituents at risk by spreading unfounded claims

466
00:27:55,480 --> 00:27:57,560
Speaker 1: about vaccines and how they were going to be administered.

467
00:27:57,600 --> 00:27:59,480
Speaker 1: And so, you know, I'm happy to see that she's

468
00:27:59,520 --> 00:28:02,000
Speaker 1: come around to the side of common sense. But instead

469
00:28:02,000 --> 00:28:05,000
Speaker 1: of blaming her unvaccinated constituents. She might want to look

470
00:28:05,000 --> 00:28:07,440
Speaker 1: in the mirror and wonder where folks are getting kind

471
00:28:07,480 --> 00:28:09,800
Speaker 1: of panic and hysteria from and what maybe did she

472
00:28:09,880 --> 00:28:13,359
Speaker 1: do that that actually caused that. And you know, Jack,

473
00:28:13,400 --> 00:28:16,000
Speaker 1: earlier you were talking about Fox News and you use

474
00:28:16,080 --> 00:28:19,040
Speaker 1: the word fraud. I think that more and more we

475
00:28:19,080 --> 00:28:22,520
Speaker 1: need to see people that push nonsense about our public health,

476
00:28:22,560 --> 00:28:25,639
Speaker 1: about our elections as the fraudsters and the scammers that

477
00:28:25,680 --> 00:28:29,160
Speaker 1: they are. Tuckra Carausson, he knows that vaccines are safe.

478
00:28:29,560 --> 00:28:33,119
Speaker 1: If that if the vaccine guidance from you know, Fox

479
00:28:33,160 --> 00:28:36,160
Speaker 1: News as an organization to work for is correct, he

480
00:28:36,560 --> 00:28:39,280
Speaker 1: probably has been vaccinated himself. I saw him doing a

481
00:28:39,360 --> 00:28:41,440
Speaker 1: whole song and dance abo how it was the most

482
00:28:41,480 --> 00:28:44,840
Speaker 1: offensive question to ask he was vaccinated. But the bottom

483
00:28:44,840 --> 00:28:48,400
Speaker 1: line is people like Tucker Carlson are making money by

484
00:28:48,400 --> 00:28:50,960
Speaker 1: pushing dangerous lies. And we have a word for that.

485
00:28:51,000 --> 00:28:53,400
Speaker 1: It's a scammer. It's a fraudster. And so this is

486
00:28:53,440 --> 00:28:56,520
Speaker 1: not a you know, a debate or two sides issue.

487
00:28:56,520 --> 00:28:59,400
Speaker 1: These people are scammers and fraudsters and they're making money

488
00:28:59,520 --> 00:29:03,960
Speaker 1: off of pushing people dangerous, dangerous anti science ideas to

489
00:29:04,000 --> 00:29:06,280
Speaker 1: people that can get people killed, and I really am

490
00:29:06,280 --> 00:29:09,600
Speaker 1: happy to see people using language like fraud and scam

491
00:29:09,640 --> 00:29:15,240
Speaker 1: to call out these obvious scammers and fraudsters. Yeah, yeah,

492
00:29:15,280 --> 00:29:17,840
Speaker 1: I mean this thing with k Ivy is it's I mean,

493
00:29:17,880 --> 00:29:20,120
Speaker 1: it's not the world, but it's it's way too late

494
00:29:20,160 --> 00:29:22,200
Speaker 1: for her to try to do, you know, like a

495
00:29:22,200 --> 00:29:25,800
Speaker 1: face turn at this point in the way she's handled

496
00:29:25,800 --> 00:29:30,760
Speaker 1: this where there's an absolutely I mean, it's ridiculous to

497
00:29:30,840 --> 00:29:33,880
Speaker 1: expect a public official to take accountability for anything, but yeah,

498
00:29:33,880 --> 00:29:37,320
Speaker 1: just to act like the reason that people are unvaccinated

499
00:29:37,320 --> 00:29:40,120
Speaker 1: in her state exists entirely in a void that has

500
00:29:40,120 --> 00:29:43,800
Speaker 1: nothing to do with her. It's just nothing ridiculous, Like

501
00:29:43,880 --> 00:29:47,400
Speaker 1: it's yeah, I mean, it's the Republican ideal of everything

502
00:29:47,520 --> 00:29:51,440
Speaker 1: is like personal accountability and like personal like and nothing

503
00:29:51,520 --> 00:29:55,120
Speaker 1: has to do with any sort of group based or

504
00:29:55,200 --> 00:29:58,840
Speaker 1: like public Uh, it's such a double like it's like

505
00:29:58,880 --> 00:30:03,680
Speaker 1: you have to trust Republican leadership implicitly or leadership implicitly

506
00:30:03,680 --> 00:30:06,920
Speaker 1: in general, but if you are misguided by leadership, it's

507
00:30:06,960 --> 00:30:10,440
Speaker 1: your fault whatever happens to Like, yeah, it seems unfair.

508
00:30:10,480 --> 00:30:13,760
Speaker 1: It's probably better that she is doing this than her

509
00:30:14,200 --> 00:30:17,200
Speaker 1: you know, staying on the same path she was on before,

510
00:30:17,240 --> 00:30:22,080
Speaker 1: but obviously not somebody who belongs in a position making

511
00:30:22,120 --> 00:30:28,680
Speaker 1: public policy. One other story, Um, so I guess Lallapaluza

512
00:30:29,240 --> 00:30:32,240
Speaker 1: is still a thing, first of all, like that is

513
00:30:32,280 --> 00:30:37,040
Speaker 1: still a music festival that happens on a regular basis.

514
00:30:37,400 --> 00:30:42,080
Speaker 1: A hundred thousand attendees are expected in Chicago every day

515
00:30:42,120 --> 00:30:47,320
Speaker 1: for Lallapaluza starting this week. I think, oh no, yeah,

516
00:30:47,480 --> 00:30:52,680
Speaker 1: And so people are pointing to this Dutch music festival

517
00:30:53,040 --> 00:30:56,320
Speaker 1: verke nipped. I can't believe. I can't imagine that's how

518
00:30:56,360 --> 00:31:00,600
Speaker 1: it's actually pronounced. But so they basically did a music

519
00:31:00,680 --> 00:31:04,840
Speaker 1: festival in the Netherlands required a vaccination card or proof

520
00:31:04,880 --> 00:31:07,600
Speaker 1: of a negative test result it I think it was

521
00:31:07,880 --> 00:31:14,280
Speaker 1: twenty people, uh total at the festival, and now they're

522
00:31:14,280 --> 00:31:17,760
Speaker 1: reporting over a thousand people who attended the festival have

523
00:31:17,880 --> 00:31:21,960
Speaker 1: now tested positive for COVID. And I mean I read

524
00:31:22,000 --> 00:31:26,360
Speaker 1: something like that the delta variant can like have ten

525
00:31:26,480 --> 00:31:30,440
Speaker 1: thousand times or one thousand times as much virus in

526
00:31:30,640 --> 00:31:35,600
Speaker 1: like the nasal passageway than the previous version. So it

527
00:31:35,640 --> 00:31:39,680
Speaker 1: just seems like it's so much more communicable. And so

528
00:31:39,800 --> 00:31:43,160
Speaker 1: I think the big thing that they're trying to. Like,

529
00:31:43,240 --> 00:31:48,280
Speaker 1: the takeaway from that is that the negative test within

530
00:31:48,440 --> 00:31:53,200
Speaker 1: forty hours is like the loophole that people are using

531
00:31:53,240 --> 00:31:56,080
Speaker 1: to get in and like still spread the disease. Basically

532
00:31:56,640 --> 00:31:59,320
Speaker 1: that like forty hours is not enough, like it it

533
00:31:59,320 --> 00:32:01,760
Speaker 1: should be twenty four hours, or you should just force

534
00:32:01,800 --> 00:32:06,880
Speaker 1: people to have been vaccinated. Yeah, and Lallapaluza as of

535
00:32:07,000 --> 00:32:09,920
Speaker 1: right now hasn't learned anything from that, and their window

536
00:32:10,000 --> 00:32:15,040
Speaker 1: is seventy two hours, so yeah, probably not great. The

537
00:32:15,040 --> 00:32:19,200
Speaker 1: first thing that happens when you google Lallapalooza is people

538
00:32:19,280 --> 00:32:25,920
Speaker 1: also ask how could Lollapalooza one happen, which is a

539
00:32:26,000 --> 00:32:29,560
Speaker 1: valid question. Yeah, you're in the Midwest right now? Are

540
00:32:29,600 --> 00:32:32,320
Speaker 1: you planning on going? I mean, yeah, of course I'm

541
00:32:32,360 --> 00:32:35,200
Speaker 1: gonna go. Must Like I was begging someone to sneeze

542
00:32:35,200 --> 00:32:36,640
Speaker 1: in my mouth at the Bucks game, I will be

543
00:32:36,680 --> 00:32:41,920
Speaker 1: doing the same at Lallapaluza. Can't even imagine, like who

544
00:32:42,040 --> 00:32:46,960
Speaker 1: is playing Lallapaluza, like smashed mouth? Probably right, do you

545
00:32:46,960 --> 00:32:51,680
Speaker 1: remember that? I mean, it's it's I I still feel like,

546
00:32:51,720 --> 00:32:54,920
Speaker 1: I mean, it stresses me out looking at packed sports

547
00:32:55,080 --> 00:32:59,800
Speaker 1: games still as well, Like it's just a stressful thing

548
00:33:00,480 --> 00:33:03,040
Speaker 1: to see. Well, well, it still feels like information is

549
00:33:03,080 --> 00:33:07,760
Speaker 1: like no, there's no you know, through line of information whatsoever.

550
00:33:07,960 --> 00:33:13,120
Speaker 1: It freaks me out in general. Yeah, I mean I

551
00:33:13,440 --> 00:33:15,320
Speaker 1: actually have a question this is we're not even really

552
00:33:15,360 --> 00:33:20,280
Speaker 1: a questions, sort of a philosophical issue I've been wrestling with,

553
00:33:20,400 --> 00:33:23,000
Speaker 1: which is that, like, you know, how in the beginning,

554
00:33:23,000 --> 00:33:25,040
Speaker 1: there was a time during COVID where if you were

555
00:33:25,040 --> 00:33:26,640
Speaker 1: still going out to the bar and if you were

556
00:33:26,680 --> 00:33:29,000
Speaker 1: still going out to like events, you were an asshole.

557
00:33:29,520 --> 00:33:31,520
Speaker 1: And then the messaging was well, as long as you're

558
00:33:31,520 --> 00:33:33,480
Speaker 1: fully vaccinated, you can do whatever you want. And so

559
00:33:33,920 --> 00:33:36,320
Speaker 1: I feel like we all were like whoa, parties are back,

560
00:33:36,480 --> 00:33:39,760
Speaker 1: things are back, So are we? So are we now

561
00:33:39,880 --> 00:33:43,280
Speaker 1: to the point where today if you if you go

562
00:33:43,400 --> 00:33:45,880
Speaker 1: to a concert or go out, you're an asshole the

563
00:33:45,920 --> 00:33:48,360
Speaker 1: same way that it was, like like where are we?

564
00:33:48,560 --> 00:33:52,760
Speaker 1: Because I just feel I feel so personally confused by

565
00:33:52,840 --> 00:33:55,600
Speaker 1: the messaging, and I also feel like we cannot count

566
00:33:55,640 --> 00:33:58,320
Speaker 1: on our our leaders to give us clear guidance, and

567
00:33:58,320 --> 00:34:00,360
Speaker 1: so there's always going to be a contention folks who

568
00:34:00,360 --> 00:34:01,720
Speaker 1: are just gonna do what they want. But if you're

569
00:34:01,760 --> 00:34:04,680
Speaker 1: someone who is trying to make responsible choices. I feel

570
00:34:04,680 --> 00:34:07,520
Speaker 1: like we're largely being left up to our own consciousnes

571
00:34:07,680 --> 00:34:11,279
Speaker 1: and like our own understanding of the guidance and the

572
00:34:11,440 --> 00:34:13,399
Speaker 1: and the science and the cases and all of that,

573
00:34:13,480 --> 00:34:15,239
Speaker 1: which is not a good place to be if you're

574
00:34:15,239 --> 00:34:16,960
Speaker 1: just trying to have a hawk girl summer after your

575
00:34:16,960 --> 00:34:22,719
Speaker 1: ankle heels. You know, yeah that, I mean, that's an

576
00:34:22,719 --> 00:34:26,239
Speaker 1: incredibly good question. I I feel conflicted about it all

577
00:34:26,560 --> 00:34:28,520
Speaker 1: the time because it's like, I, you know, I've I've

578
00:34:28,520 --> 00:34:34,000
Speaker 1: been out and doing stuff and trying to I mean

579
00:34:34,040 --> 00:34:37,719
Speaker 1: not even split the difference, but you know, just be

580
00:34:37,840 --> 00:34:40,680
Speaker 1: out and wearing a mask, and if you know, I'm

581
00:34:40,680 --> 00:34:43,400
Speaker 1: trying to stick to things that have that, I know

582
00:34:43,480 --> 00:34:46,040
Speaker 1: that they're that the people there will be vaccinated or like,

583
00:34:46,480 --> 00:34:48,839
Speaker 1: I don't know, there there are still at sports games

584
00:34:48,880 --> 00:34:51,640
Speaker 1: right now. They're still like vaccinated sections that you can

585
00:34:51,680 --> 00:34:53,759
Speaker 1: sit in, which doesn't I mean, which I feel like

586
00:34:53,760 --> 00:34:55,360
Speaker 1: it's almost a band aid because it's like you're going

587
00:34:55,440 --> 00:34:58,920
Speaker 1: to be sharing bathrooms with there's not vaccinated. I don't know.

588
00:34:59,200 --> 00:35:04,640
Speaker 1: I on actually have no fucking clue. I very the

589
00:35:05,080 --> 00:35:09,280
Speaker 1: it just really it really seems like there is a

590
00:35:09,280 --> 00:35:13,280
Speaker 1: a level of like to answer your question, like I

591
00:35:13,280 --> 00:35:16,760
Speaker 1: I am equally confused, so not to not answer your question,

592
00:35:16,800 --> 00:35:19,160
Speaker 1: I'm equally confused. I don't have an answer for how

593
00:35:19,200 --> 00:35:21,799
Speaker 1: we're supposed to judge people because we don't know if

594
00:35:21,840 --> 00:35:25,440
Speaker 1: they've been vaccinated. I do. I'm just like the fact

595
00:35:25,600 --> 00:35:29,040
Speaker 1: the fact that sporting that would have a vaccinated versus

596
00:35:29,040 --> 00:35:33,760
Speaker 1: not vaccinated section, Like why the fact that like they're

597
00:35:33,800 --> 00:35:36,560
Speaker 1: making do at these music festivals for people who haven't

598
00:35:36,560 --> 00:35:40,520
Speaker 1: been vaccinated, like the especially in America, where like I

599
00:35:40,560 --> 00:35:44,040
Speaker 1: feel like there's been the time to be vaccinated and

600
00:35:44,360 --> 00:35:46,200
Speaker 1: like this is the one that blows my mind. At

601
00:35:46,280 --> 00:35:51,120
Speaker 1: least one hundred US Olympic athletes are unvaccinated, Like how

602
00:35:51,280 --> 00:35:56,839
Speaker 1: is that allowed? Like that? Ah? But like what how? Yeah,

603
00:35:56,920 --> 00:36:01,040
Speaker 1: I don't understand how we're Like the health lead for

604
00:36:01,160 --> 00:36:04,239
Speaker 1: the U. S Olympic Committee was like, we're actually pretty

605
00:36:04,280 --> 00:36:06,879
Speaker 1: happy with that number because it's like a pretty small

606
00:36:06,920 --> 00:36:11,800
Speaker 1: percentage of of our athletes. But I just don't understand.

607
00:36:11,880 --> 00:36:14,960
Speaker 1: I feel like there is you know, we talked last

608
00:36:15,000 --> 00:36:20,080
Speaker 1: week about how to make this to kind of shift

609
00:36:20,239 --> 00:36:23,600
Speaker 1: the direction we're going with all the disinformation that's out there,

610
00:36:24,040 --> 00:36:26,840
Speaker 1: we need to make it the hard choice to remain

611
00:36:26,880 --> 00:36:29,560
Speaker 1: on vaccinated rather than the easy choice, which seems like

612
00:36:29,600 --> 00:36:32,200
Speaker 1: what it is now, and it just feels like we're

613
00:36:32,280 --> 00:36:35,360
Speaker 1: we're not doing that. We're still just like being like yeah, no, okay,

614
00:36:35,480 --> 00:36:37,879
Speaker 1: up to you, up to you, guys. It feels kind

615
00:36:37,880 --> 00:36:39,760
Speaker 1: of bizarre too, because I feel like now that everyone

616
00:36:39,920 --> 00:36:46,000
Speaker 1: is kind of back out vaccinated or unvaccinated largely, there

617
00:36:46,160 --> 00:36:49,960
Speaker 1: was once this really public push for like we need someone,

618
00:36:50,360 --> 00:36:52,600
Speaker 1: you know, we need leadership here, Like what the funk

619
00:36:52,719 --> 00:36:55,799
Speaker 1: is going on? What is like, is there some standard

620
00:36:56,239 --> 00:36:59,239
Speaker 1: to how we can keep each other safe? And now

621
00:36:59,280 --> 00:37:01,840
Speaker 1: it's like we're in a different version of the same situation,

622
00:37:01,840 --> 00:37:04,000
Speaker 1: but it doesn't even feel like there's really that same

623
00:37:04,760 --> 00:37:08,640
Speaker 1: demand for leadership and it's still not happening, but it

624
00:37:08,680 --> 00:37:11,120
Speaker 1: doesn't seem like people are as I don't know, it's

625
00:37:11,160 --> 00:37:14,319
Speaker 1: not as top of mind because everyone's just out and

626
00:37:14,400 --> 00:37:17,520
Speaker 1: like relieved that they can be out it. I don't know,

627
00:37:18,200 --> 00:37:20,239
Speaker 1: saying it out loud like well, this sounds like a

628
00:37:20,280 --> 00:37:24,600
Speaker 1: recipe for a disaster, which if you look at the

629
00:37:24,680 --> 00:37:27,439
Speaker 1: like way that COVID cases are going in some parts

630
00:37:27,480 --> 00:37:31,680
Speaker 1: of the United States, that's exactly where we're headed. And Jack,

631
00:37:31,760 --> 00:37:34,040
Speaker 1: what's so interesting about what you said about the Olympics,

632
00:37:34,360 --> 00:37:37,560
Speaker 1: about how there's still a hundred or so Olympians who

633
00:37:37,560 --> 00:37:41,759
Speaker 1: have not been vaccinated. The Olympics can police so many

634
00:37:41,840 --> 00:37:44,520
Speaker 1: aspects of what the athletes do and don't do, from

635
00:37:44,560 --> 00:37:47,480
Speaker 1: the hormones and their body, from their hair, whether or

636
00:37:47,520 --> 00:37:50,919
Speaker 1: not they were shorty shorts or bikins or whatever, and

637
00:37:51,400 --> 00:37:53,960
Speaker 1: yet when it comes to vaccination, they're like, whatever you'll

638
00:37:53,960 --> 00:37:57,640
Speaker 1: want to do, you know, like it just that so interesting,

639
00:37:57,880 --> 00:38:00,839
Speaker 1: the fact that you can't smoke weed but you can

640
00:38:00,960 --> 00:38:07,040
Speaker 1: be unvaccinated. It's like, what, what make it makes sense? Yeah, yeah,

641
00:38:07,480 --> 00:38:11,399
Speaker 1: it truly does not. All right, let's take a quick

642
00:38:11,400 --> 00:38:24,560
Speaker 1: break and we'll be right back. And we're back, and

643
00:38:24,640 --> 00:38:28,120
Speaker 1: just a real quick check in with Donald Trump. So

644
00:38:28,239 --> 00:38:32,320
Speaker 1: he and his associated packs, you know, used breathless appeals

645
00:38:32,360 --> 00:38:35,719
Speaker 1: about stopping the steel and like the urgency of preserving

646
00:38:36,200 --> 00:38:39,120
Speaker 1: American democracy while he was trying to like steal the

647
00:38:39,160 --> 00:38:43,080
Speaker 1: election and the aftermath of like he's losing the election,

648
00:38:43,480 --> 00:38:46,960
Speaker 1: but he, you know, successfully use these email please to

649
00:38:47,080 --> 00:38:50,960
Speaker 1: raise hundreds of millions of dollars from just like small

650
00:38:51,000 --> 00:38:56,160
Speaker 1: donations from Americans, and apparently at the end of this

651
00:38:56,280 --> 00:38:59,279
Speaker 1: month he has to like do a filing where he

652
00:38:59,320 --> 00:39:03,000
Speaker 1: shows what he spent the money on, and it turns

653
00:39:03,000 --> 00:39:09,640
Speaker 1: out he didn't spend any of it, like yeah, yeah.

654
00:39:09,719 --> 00:39:14,120
Speaker 1: So the Washington Post reports that Trump's Save America Leadership pack,

655
00:39:14,360 --> 00:39:17,839
Speaker 1: which raised some seventy five million dollars on the back

656
00:39:17,920 --> 00:39:21,240
Speaker 1: of like his barrage of lies, has yet to spend

657
00:39:21,360 --> 00:39:24,680
Speaker 1: any of that money in support of the recounts. And

658
00:39:25,120 --> 00:39:28,240
Speaker 1: he's just which suggests he's just going to keep it

659
00:39:28,320 --> 00:39:31,680
Speaker 1: for himself. He just has the money now. But it

660
00:39:31,760 --> 00:39:35,279
Speaker 1: was like explicitly he was asking people explicitly to give

661
00:39:35,360 --> 00:39:38,400
Speaker 1: him money so he could like pursue like recounts and

662
00:39:38,480 --> 00:39:41,440
Speaker 1: like do all these things. And it's just like we

663
00:39:41,440 --> 00:39:45,000
Speaker 1: we already know that was a lie. Like we we

664
00:39:45,080 --> 00:39:49,000
Speaker 1: can just like point to this information that it's a lie.

665
00:39:49,040 --> 00:39:53,680
Speaker 1: I don't know that it's gonna change literally a single mind,

666
00:39:54,080 --> 00:39:58,160
Speaker 1: but I don't know. It's just so fucking transparent. It's frustrating.

667
00:39:59,000 --> 00:40:01,320
Speaker 1: I mean, at this point, if you give money to Trump,

668
00:40:02,080 --> 00:40:03,560
Speaker 1: I mean, on the one hand, I feel bad for

669
00:40:03,600 --> 00:40:06,560
Speaker 1: these people because I know that he prays on his

670
00:40:06,680 --> 00:40:10,000
Speaker 1: supporters who are elderly or you know, working class who

671
00:40:10,040 --> 00:40:11,759
Speaker 1: like don't really have a ton of money. So I

672
00:40:11,760 --> 00:40:14,200
Speaker 1: feel for them in that way. But he's a scammer.

673
00:40:14,280 --> 00:40:18,040
Speaker 1: Like he he has a whole long history of not

674
00:40:18,160 --> 00:40:21,600
Speaker 1: paying people, running out on bills, and stealing money from

675
00:40:21,640 --> 00:40:24,799
Speaker 1: his own supporters, and so this is not surprising to me.

676
00:40:24,920 --> 00:40:27,359
Speaker 1: He's definitely he was going to keep that money for

677
00:40:27,480 --> 00:40:31,760
Speaker 1: personal enrichment, you know, And I'm not It's not surprising.

678
00:40:31,760 --> 00:40:34,680
Speaker 1: This is what he does. This is his thing. Yeah,

679
00:40:34,760 --> 00:40:39,680
Speaker 1: he's going to turn Barren into a transformer with it.

680
00:40:41,440 --> 00:40:45,360
Speaker 1: Baron is tall man. That's the word on the street.

681
00:40:45,680 --> 00:40:49,239
Speaker 1: Everyone's talking about the tallest son who no longer lives

682
00:40:49,239 --> 00:40:53,840
Speaker 1: in the White House. All right, let's talk about the

683
00:40:54,040 --> 00:40:57,880
Speaker 1: consequences of wildfires. You know, as fun as it is

684
00:40:57,960 --> 00:41:00,040
Speaker 1: to walk through Times Square and have it smell like

685
00:41:00,120 --> 00:41:03,360
Speaker 1: a camp fire because of fires that are happening in

686
00:41:04,040 --> 00:41:07,640
Speaker 1: ore Agaon and like all the smoke just blowing across

687
00:41:07,680 --> 00:41:10,960
Speaker 1: the country, there are some less cool things that are

688
00:41:10,960 --> 00:41:13,719
Speaker 1: gonna be happening because of the fact that we now

689
00:41:13,800 --> 00:41:18,719
Speaker 1: have like a global fire season. So we've got so

690
00:41:18,880 --> 00:41:20,160
Speaker 1: here are some of the things that are going to

691
00:41:20,239 --> 00:41:23,799
Speaker 1: be ruined. We'll start with the very basic. Going outside.

692
00:41:24,480 --> 00:41:28,080
Speaker 1: We have a little more experience in California with what

693
00:41:28,239 --> 00:41:32,440
Speaker 1: that future looks like. Like I took a trip with

694
00:41:32,480 --> 00:41:36,880
Speaker 1: my kids into like California Wilderness last year during fire season,

695
00:41:37,320 --> 00:41:40,880
Speaker 1: and like it's, you know, some days you can't go outside.

696
00:41:41,000 --> 00:41:43,920
Speaker 1: It's it's like going somewhere during rainy season, where like

697
00:41:43,960 --> 00:41:46,440
Speaker 1: half the days you can't go outside. You just have

698
00:41:46,560 --> 00:41:49,839
Speaker 1: to like bring puzzles and board games because it's gonna

699
00:41:49,880 --> 00:41:53,879
Speaker 1: be too smoky and like to breathe basically, and then

700
00:41:53,960 --> 00:41:56,160
Speaker 1: like on the good days, the sky will be pale gray,

701
00:41:57,880 --> 00:42:04,400
Speaker 1: but the sunsets, though really cool sunsets, makes it all

702
00:42:04,440 --> 00:42:08,040
Speaker 1: worth it. They're saying, even as far north as Minnesota's

703
00:42:08,040 --> 00:42:13,320
Speaker 1: Boundary Waters Canoe area, the air quality is it's considered

704
00:42:13,400 --> 00:42:16,759
Speaker 1: safe to be thirty or below and on Tuesday it

705
00:42:16,840 --> 00:42:21,239
Speaker 1: was fifty in Minneapolis and two nine further north. So

706
00:42:23,760 --> 00:42:28,120
Speaker 1: weed is going to be affected. So apparently they're seeing fire,

707
00:42:28,200 --> 00:42:32,239
Speaker 1: tornadoes and what's known as the Emerald Triangle, which is

708
00:42:32,440 --> 00:42:36,720
Speaker 1: like where most of the weed in California has grown.

709
00:42:37,239 --> 00:42:40,600
Speaker 1: And it's not just that like the fire and drought

710
00:42:40,719 --> 00:42:44,840
Speaker 1: might burn the crop up. The stuff actually like makes

711
00:42:44,880 --> 00:42:48,759
Speaker 1: it so you're going to the the flower is going

712
00:42:48,840 --> 00:42:52,160
Speaker 1: to be like very smoky and sooty like flavored, and

713
00:42:52,480 --> 00:42:56,880
Speaker 1: who knows like what that is actually doing too. Everything

714
00:42:57,239 --> 00:43:00,279
Speaker 1: like a thing that you're putting into your body is

715
00:43:00,440 --> 00:43:03,320
Speaker 1: covered with like a fine dusting of just like whatever

716
00:43:03,440 --> 00:43:10,240
Speaker 1: happens to catch on fire. Awesome. So basically everything good,

717
00:43:10,360 --> 00:43:16,680
Speaker 1: the outgoing outside and being high. Forget about it. Wine also, uh,

718
00:43:17,440 --> 00:43:19,719
Speaker 1: like you know a lot of that comes from the

719
00:43:19,760 --> 00:43:24,359
Speaker 1: northern California area, and you'll you'll be getting a rich

720
00:43:24,560 --> 00:43:28,359
Speaker 1: like stone fruit with hints of chocolate behind the overpowering

721
00:43:28,360 --> 00:43:32,520
Speaker 1: taste of bong water because it's gonna just it's gonna

722
00:43:32,560 --> 00:43:36,719
Speaker 1: taste ashy. It's gonna taste like an ashtray because the

723
00:43:36,800 --> 00:43:42,439
Speaker 1: grapes are gonna have smoke kind of infused throughout them. God,

724
00:43:42,480 --> 00:43:46,400
Speaker 1: I honestly had I mean, the big picture stuff is

725
00:43:46,600 --> 00:43:50,359
Speaker 1: so horrifying that I hadn't even thought about how that's gonna,

726
00:43:50,520 --> 00:43:53,680
Speaker 1: you know, trickle down to two crops and consumer products

727
00:43:53,719 --> 00:43:57,960
Speaker 1: and and and stuff like that. Yeah, Like seafood, they're

728
00:43:57,960 --> 00:44:00,960
Speaker 1: saying the clams are literally cooking and their shells and

729
00:44:01,280 --> 00:44:04,839
Speaker 1: the Pacific they're surfacing with their shells popped open like

730
00:44:04,880 --> 00:44:07,640
Speaker 1: they've been steamed. That sounds like a page from the

731
00:44:07,680 --> 00:44:12,799
Speaker 1: Lower Ax that sounds terrible. Coffee is just because of

732
00:44:12,960 --> 00:44:17,480
Speaker 1: the drought conditions hurting Brazil, their coffee is gonna be

733
00:44:17,480 --> 00:44:21,960
Speaker 1: more expensive this this fall. And also apparently like it

734
00:44:22,120 --> 00:44:26,120
Speaker 1: just makes COVID nineteen like worse, Like you're more likely

735
00:44:26,239 --> 00:44:30,320
Speaker 1: to die from COVID in an area with worse air quality.

736
00:44:30,640 --> 00:44:34,040
Speaker 1: Oh that makes sense. Yeah, that's I mean, there have

737
00:44:34,160 --> 00:44:36,160
Speaker 1: been a number of pieces coming out in the past

738
00:44:36,160 --> 00:44:39,400
Speaker 1: couple of weeks about, yeah, like that the class and

739
00:44:39,480 --> 00:44:42,719
Speaker 1: racial implications of climate change and how how it's going

740
00:44:42,800 --> 00:44:47,040
Speaker 1: to you know, disproportionately affect working class and black and

741
00:44:47,040 --> 00:44:49,840
Speaker 1: brown communities, and it's it's just I don't know. I

742
00:44:49,840 --> 00:44:52,920
Speaker 1: I wish that that angle as well, we're a more

743
00:44:53,000 --> 00:44:56,160
Speaker 1: common talking point with climate change, because I feel like

744
00:44:56,520 --> 00:44:59,640
Speaker 1: it comes up but not with the amount of Like

745
00:44:59,680 --> 00:45:03,399
Speaker 1: I don't think that my parents have heard of that

746
00:45:03,480 --> 00:45:06,160
Speaker 1: angle of climate change, and it seems like it's still

747
00:45:06,200 --> 00:45:10,279
Speaker 1: a pretty under discussed thing. But you know, if I

748
00:45:10,320 --> 00:45:13,279
Speaker 1: told my aunts their wine would be affected, maybe they

749
00:45:13,320 --> 00:45:18,440
Speaker 1: would care. It's just it's just awful. Yeah, I think

750
00:45:18,480 --> 00:45:21,319
Speaker 1: that's a good point, like the the who of it,

751
00:45:21,480 --> 00:45:25,080
Speaker 1: like rather than like the because the abstract science clearly

752
00:45:25,160 --> 00:45:29,279
Speaker 1: isn't like convincing anybody, but the who of it? Like who,

753
00:45:29,400 --> 00:45:32,480
Speaker 1: first of all, who is doing the polluting that is

754
00:45:32,560 --> 00:45:36,520
Speaker 1: changing the climate? Is like, you know, majority of it

755
00:45:36,600 --> 00:45:39,440
Speaker 1: has been done by massive corporations, by like a handful

756
00:45:39,480 --> 00:45:42,439
Speaker 1: of very rich people. And then like who is going

757
00:45:42,600 --> 00:45:46,560
Speaker 1: to be hurt by it? Like is yeah, majority like

758
00:45:46,680 --> 00:45:52,000
Speaker 1: poor and persons of color and nations that don't have

759
00:45:52,080 --> 00:45:55,400
Speaker 1: the ability to like make changes and adapt on the

760
00:45:55,400 --> 00:45:59,040
Speaker 1: fly are going to be hurt. Like I I really

761
00:45:59,040 --> 00:46:02,880
Speaker 1: do feel like like emphasizing the who of it is

762
00:46:03,280 --> 00:46:08,680
Speaker 1: probably a better strategy or underused strategy completely. And I

763
00:46:08,719 --> 00:46:10,840
Speaker 1: think another way to say that that really helps me

764
00:46:10,920 --> 00:46:14,880
Speaker 1: conceptualize it is the people who did the most to

765
00:46:14,920 --> 00:46:17,759
Speaker 1: cause the problem are being the least impacted by it,

766
00:46:17,960 --> 00:46:20,719
Speaker 1: and the people who are most directly impacted by it

767
00:46:20,800 --> 00:46:23,560
Speaker 1: did the least to cause the problem. And I think,

768
00:46:23,880 --> 00:46:25,960
Speaker 1: really think and and so when people will use the

769
00:46:26,000 --> 00:46:28,759
Speaker 1: word in like climate injustice, that's really how I think

770
00:46:28,760 --> 00:46:30,839
Speaker 1: of it, because it is an injustice, you know, that's

771
00:46:31,600 --> 00:46:36,080
Speaker 1: you know, like billionaire like largely white lead billionaire corporations

772
00:46:36,480 --> 00:46:38,360
Speaker 1: are the ones causing the problem and are doing the

773
00:46:38,440 --> 00:46:42,719
Speaker 1: least to solve that problem, all while trying to distract

774
00:46:42,800 --> 00:46:47,399
Speaker 1: us by over emphasizing individual choices like you know, whether

775
00:46:47,520 --> 00:46:51,040
Speaker 1: or not you recycle as part of the a as

776
00:46:51,280 --> 00:46:53,560
Speaker 1: as part of the problem, and obviously everybody should be

777
00:46:53,560 --> 00:46:56,120
Speaker 1: making responsible choices. I'm not saying those those things don't matter.

778
00:46:56,160 --> 00:46:59,120
Speaker 1: But it's so interesting to me how corporations will stamp

779
00:46:59,160 --> 00:47:01,400
Speaker 1: like please recite go on their bottle. But it's like,

780
00:47:01,760 --> 00:47:03,799
Speaker 1: y'all are the corporations. You'all can change us if you

781
00:47:03,800 --> 00:47:05,480
Speaker 1: want to worry, why are you Why are you bringing

782
00:47:05,480 --> 00:47:07,400
Speaker 1: me into it? Like why don't y'all look in the

783
00:47:07,440 --> 00:47:09,800
Speaker 1: mirror and do something? You know? And so it really

784
00:47:10,760 --> 00:47:12,480
Speaker 1: it's one of those issues that I just think is

785
00:47:13,719 --> 00:47:17,200
Speaker 1: the way the way we talk about it is perhaps misleading.

786
00:47:17,239 --> 00:47:19,319
Speaker 1: The way we think about it is perhaps misleading. And

787
00:47:19,480 --> 00:47:23,080
Speaker 1: it's a real problem because it's it's not coming. It's here,

788
00:47:23,080 --> 00:47:26,560
Speaker 1: like climate climate collapse is like I think we're in it.

789
00:47:26,600 --> 00:47:28,960
Speaker 1: I don't think it's like five years, ten years, a

790
00:47:29,040 --> 00:47:31,680
Speaker 1: hundred years. I think what we are experiencing now, the

791
00:47:31,760 --> 00:47:35,320
Speaker 1: kinds of intense heats and droughts and things of that nature,

792
00:47:35,719 --> 00:47:38,200
Speaker 1: I think it's here. It does kind of remind me.

793
00:47:38,239 --> 00:47:41,480
Speaker 1: I mean just of how we were talking about the

794
00:47:41,480 --> 00:47:46,120
Speaker 1: the vaccination versus unvaccination conversation early of you know, making

795
00:47:46,160 --> 00:47:50,239
Speaker 1: it an individual failure and not really you know, the

796
00:47:50,280 --> 00:47:54,520
Speaker 1: governor of Alabama just avoiding the possibility that it was

797
00:47:54,560 --> 00:47:57,880
Speaker 1: a systemic failure that she was like a really big

798
00:47:57,960 --> 00:48:00,320
Speaker 1: part of it. Feels like there's kind of a different

799
00:48:00,360 --> 00:48:03,160
Speaker 1: version of that going on when we're talking about climate

800
00:48:03,200 --> 00:48:06,840
Speaker 1: where you know, it's you you see that the crisis

801
00:48:06,880 --> 00:48:10,640
Speaker 1: is getting worse with each year that passes, and it's like,

802
00:48:10,680 --> 00:48:13,680
Speaker 1: I mean, I it is humbling, Like the first time

803
00:48:13,719 --> 00:48:17,160
Speaker 1: I learned that even if every single person in the

804
00:48:17,200 --> 00:48:21,200
Speaker 1: world was doing what they could to reduce their carbon footprint,

805
00:48:21,360 --> 00:48:24,359
Speaker 1: it wouldn't move the needle as much as if there

806
00:48:24,480 --> 00:48:28,800
Speaker 1: was some sort of regulation put on these billion dollar companies.

807
00:48:28,880 --> 00:48:32,160
Speaker 1: Like it's just and but but they don't give a

808
00:48:32,160 --> 00:48:36,240
Speaker 1: ship because they're just going to go to space or whatever. Yeah,

809
00:48:37,480 --> 00:48:41,600
Speaker 1: it's part of it, Like America is addicted to individualism

810
00:48:41,920 --> 00:48:46,280
Speaker 1: and and like you know, whether it's the the origin

811
00:48:46,360 --> 00:48:48,480
Speaker 1: story of a company like giving all the credit to

812
00:48:48,520 --> 00:48:52,560
Speaker 1: like one person just like gritting their way through it

813
00:48:52,640 --> 00:48:55,799
Speaker 1: instead of like the hundreds of people who like work

814
00:48:55,880 --> 00:48:58,879
Speaker 1: together and helped that person. Like that. We we love

815
00:48:59,000 --> 00:49:03,600
Speaker 1: just writing the the other people out of a success story,

816
00:49:03,880 --> 00:49:06,760
Speaker 1: and like the same goes for like casting the blame.

817
00:49:06,840 --> 00:49:09,680
Speaker 1: We we just want to it all to be about

818
00:49:09,719 --> 00:49:13,200
Speaker 1: individual choices and like we are all the heroes of

819
00:49:13,239 --> 00:49:15,600
Speaker 1: our own narrative and we can we can fix this

820
00:49:15,840 --> 00:49:19,440
Speaker 1: because movies told us we could. That said, though I

821
00:49:19,480 --> 00:49:23,360
Speaker 1: will be bummed if my Francis starts tasting like an

822
00:49:23,400 --> 00:49:28,640
Speaker 1: ash tray. That is also something to keep in mind. Alright,

823
00:49:28,719 --> 00:49:32,640
Speaker 1: let's talk about streaming. So there's this new study out

824
00:49:32,680 --> 00:49:38,480
Speaker 1: from Nielsen now that Nielsen is actually like measuring streaming

825
00:49:38,680 --> 00:49:42,399
Speaker 1: they like via people's servers, so it's not just like

826
00:49:42,480 --> 00:49:45,919
Speaker 1: a only if you stream stuff on your computer, which

827
00:49:45,960 --> 00:49:47,439
Speaker 1: is what it was at the beginning of the year.

828
00:49:47,840 --> 00:49:52,880
Speaker 1: They've recently unveiled a thing that actually checks through servers

829
00:49:52,920 --> 00:49:55,800
Speaker 1: like how much data is being downloaded and like matches

830
00:49:55,840 --> 00:49:59,479
Speaker 1: that up to the streaming so that they know how

831
00:49:59,680 --> 00:50:03,560
Speaker 1: much content is actually being streamed. I know it's very invasive,

832
00:50:04,160 --> 00:50:07,520
Speaker 1: but it's I was. I was surprised. So they kind

833
00:50:07,560 --> 00:50:11,439
Speaker 1: of released like just total amount of like how people

834
00:50:11,480 --> 00:50:18,439
Speaker 1: are consuming entertainment at home, and it's cable still broadcast,

835
00:50:18,920 --> 00:50:23,920
Speaker 1: so like it's still sixt like traditional like TV ship

836
00:50:24,280 --> 00:50:31,600
Speaker 1: and then all streaming like that's like that files, YouTube, Hulu, Prime,

837
00:50:31,800 --> 00:50:35,560
Speaker 1: Disney Plus, like all of those add up to I'm

838
00:50:35,680 --> 00:50:38,840
Speaker 1: very interested in the streaming. There's like something labeled eight

839
00:50:38,880 --> 00:50:43,960
Speaker 1: percent other streaming, Like is that what? Like twitch? Like

840
00:50:44,000 --> 00:50:48,319
Speaker 1: what is that? Yeah? Yeah, I'm not sure, but like

841
00:50:48,600 --> 00:50:50,920
Speaker 1: maybe it's just like kind of the long tail of

842
00:50:51,000 --> 00:50:55,480
Speaker 1: like all the other like Peacock and HBO Max other

843
00:50:55,560 --> 00:51:00,520
Speaker 1: ones that aren't on here. But yeah, and there also

844
00:51:00,560 --> 00:51:05,760
Speaker 1: as a chunk of other other that's people like staring

845
00:51:05,840 --> 00:51:12,040
Speaker 1: at like roadkill. Maybe it's people who read books, Jamie

846
00:51:12,080 --> 00:51:16,320
Speaker 1: everything about that. I just totally I told them myself.

847
00:51:16,520 --> 00:51:19,120
Speaker 1: I'm more likely to stare at road killman rate a book.

848
00:51:21,080 --> 00:51:23,080
Speaker 1: Where do you all get? Like do you do you

849
00:51:23,120 --> 00:51:25,279
Speaker 1: have cable? Do you streaming? Like what's going on in

850
00:51:25,320 --> 00:51:28,560
Speaker 1: your house? Is like the only time we have non

851
00:51:28,640 --> 00:51:34,359
Speaker 1: streaming stuff on is if it's live sports. That's that's it. Yeah,

852
00:51:34,400 --> 00:51:36,960
Speaker 1: we we don't have we don't have cable. We just

853
00:51:37,040 --> 00:51:41,600
Speaker 1: have streaming. I'm like, yeah, just watching roller coaster videos

854
00:51:41,640 --> 00:51:45,239
Speaker 1: on YouTube most of the time. Are those p o

855
00:51:45,320 --> 00:51:48,440
Speaker 1: V roller coaster videos where you get to experience. Then

856
00:51:48,640 --> 00:51:56,719
Speaker 1: they're roller coaster documentaries. Yeah, there's uh yeah, defunct Land.

857
00:51:56,760 --> 00:51:58,880
Speaker 1: If you want to watch a bunch of like forty

858
00:51:58,920 --> 00:52:02,000
Speaker 1: five minute doc memories about the history of roller coasters

859
00:52:02,040 --> 00:52:04,920
Speaker 1: that no longer exist. It's niche, but there's millions of

860
00:52:05,000 --> 00:52:09,279
Speaker 1: us watching. Yeah, you ask for what the other streaming is,

861
00:52:09,360 --> 00:52:14,759
Speaker 1: it's a roller coaster documents. What about you, bridget do

862
00:52:14,760 --> 00:52:17,319
Speaker 1: you have do you have cable? We have cable, which

863
00:52:17,600 --> 00:52:20,840
Speaker 1: it's so silly because we really don't need to have cable.

864
00:52:20,920 --> 00:52:24,800
Speaker 1: I guess I feel that flipping channels, just mindlessly flipping

865
00:52:24,840 --> 00:52:27,040
Speaker 1: channels is such a big part of my life and

866
00:52:27,080 --> 00:52:28,799
Speaker 1: I love it so much. It brings me so much

867
00:52:28,800 --> 00:52:31,279
Speaker 1: comfort and joy that I and I have yet to

868
00:52:31,360 --> 00:52:35,240
Speaker 1: find a streaming experience that like can mimic the feeling

869
00:52:35,400 --> 00:52:39,920
Speaker 1: of just mindly mindlessly flipping panels and then being like, Oh,

870
00:52:40,000 --> 00:52:43,040
Speaker 1: this random movie that I like swim fans on. I

871
00:52:43,040 --> 00:52:45,080
Speaker 1: haven't thought about that movie in years. I'm gonna watch

872
00:52:45,120 --> 00:52:49,279
Speaker 1: it right like that feeling of random discovery. If I

873
00:52:49,280 --> 00:52:51,759
Speaker 1: could find a streaming platform that could mimic that, I

874
00:52:51,760 --> 00:52:55,200
Speaker 1: will be in business. But that's what I'm wondering is

875
00:52:55,280 --> 00:53:01,600
Speaker 1: if this, like if streaming platforms will use the two

876
00:53:01,760 --> 00:53:04,000
Speaker 1: as like an indication that they should go harder on

877
00:53:04,080 --> 00:53:07,600
Speaker 1: that like always on model, or if they should even

878
00:53:07,880 --> 00:53:11,879
Speaker 1: like I don't know, like if Netflix had a bunch

879
00:53:11,920 --> 00:53:15,320
Speaker 1: of channels that were like, okay, here, all movies curated

880
00:53:15,440 --> 00:53:18,839
Speaker 1: by like your favorite director here like that are just

881
00:53:19,400 --> 00:53:22,359
Speaker 1: you just turn it on and there's something playing and

882
00:53:22,880 --> 00:53:28,160
Speaker 1: you know, you just can kind of like Pluto TV Model. Yeah,

883
00:53:28,320 --> 00:53:31,200
Speaker 1: I guess I don't have Pluto TV, but got to

884
00:53:31,239 --> 00:53:35,319
Speaker 1: get Pluto TV. They have a Degrassi channel. Oh well,

885
00:53:35,360 --> 00:53:39,200
Speaker 1: there you go. Yeah, Like what would people be more

886
00:53:39,280 --> 00:53:43,520
Speaker 1: likely to like stream if they just like didn't have

887
00:53:43,600 --> 00:53:47,440
Speaker 1: to make any decisions at all? Well, Netflix does have

888
00:53:47,480 --> 00:53:50,360
Speaker 1: that thing now just like watch something now where I

889
00:53:50,400 --> 00:53:52,680
Speaker 1: think they it's like I'm aggregate of the things that

890
00:53:52,719 --> 00:53:54,880
Speaker 1: you watch or that you like, and then you just

891
00:53:54,920 --> 00:53:56,720
Speaker 1: hit the button and they just pick for you. Which

892
00:53:57,040 --> 00:53:59,239
Speaker 1: I don't know how you all feel, but I when

893
00:53:59,239 --> 00:54:01,279
Speaker 1: I'm trying to start for something to watch, I can

894
00:54:01,360 --> 00:54:05,239
Speaker 1: just watch documentary trailers for hours and I'm kind of

895
00:54:05,280 --> 00:54:07,560
Speaker 1: stressed out about what to pick and so so I

896
00:54:07,600 --> 00:54:09,320
Speaker 1: can see it. I don't use that feature, but I

897
00:54:09,360 --> 00:54:11,440
Speaker 1: can see it being useful for folks who have just

898
00:54:11,520 --> 00:54:15,560
Speaker 1: like have decision paralysis and don't know what to watch.

899
00:54:16,200 --> 00:54:18,359
Speaker 1: I've felt some luck with that feature. But then I

900
00:54:18,400 --> 00:54:21,880
Speaker 1: also I think they're also just being like they also

901
00:54:22,000 --> 00:54:25,000
Speaker 1: pump into that feature, like movies that they have just

902
00:54:25,120 --> 00:54:27,120
Speaker 1: released that aren't doing as well as they want them

903
00:54:27,160 --> 00:54:29,640
Speaker 1: to do. Because I kept getting the Zack Snyder movie

904
00:54:29,719 --> 00:54:31,880
Speaker 1: that I was like, there's nothing in my viewing history

905
00:54:31,920 --> 00:54:34,680
Speaker 1: that would indicate I want this, but they're like, but

906
00:54:34,800 --> 00:54:38,520
Speaker 1: you you want this, it's fun up and you want it. Yeah,

907
00:54:38,840 --> 00:54:46,080
Speaker 1: I'm interested. I'm always so interested in like there algorithms

908
00:54:46,200 --> 00:54:47,799
Speaker 1: when they when you go on the Netflix and it's

909
00:54:47,840 --> 00:54:51,840
Speaker 1: like the top ten trending things versus the like the

910
00:54:51,880 --> 00:54:55,240
Speaker 1: popular I'm so curious, like how they've come to surface

911
00:54:55,320 --> 00:54:58,160
Speaker 1: these these titles. Sometimes I think there they really are

912
00:54:58,200 --> 00:55:01,400
Speaker 1: playing fast and loose, like they're just their new releases.

913
00:55:02,040 --> 00:55:04,480
Speaker 1: They are pushing the boundary of what you could consider

914
00:55:04,520 --> 00:55:06,480
Speaker 1: a new release. Every time I go on there, I'm like,

915
00:55:06,520 --> 00:55:08,200
Speaker 1: this has been out for a year, how are you

916
00:55:08,200 --> 00:55:12,319
Speaker 1: calling it releases? And why is coco melon always in

917
00:55:12,360 --> 00:55:15,520
Speaker 1: the top ten? What does cocoa melon? I'm not gonna

918
00:55:15,560 --> 00:55:18,680
Speaker 1: I'm not a baby, And isn't Coco melon? Jack? You

919
00:55:18,680 --> 00:55:21,680
Speaker 1: you have kids, do they don't watch Coco Melon? Right?

920
00:55:22,080 --> 00:55:26,320
Speaker 1: We There is a Coco Melon video on YouTube about

921
00:55:26,360 --> 00:55:30,719
Speaker 1: potty training that they really enjoy. Is it the same

922
00:55:30,760 --> 00:55:34,520
Speaker 1: company that does Johnny Johnny, Yes, Papa or am I? Oh?

923
00:55:34,560 --> 00:55:37,560
Speaker 1: I have no idea that that sounds like you're just

924
00:55:37,600 --> 00:55:42,520
Speaker 1: having a stroke. I know Johnny Johnny. My my little

925
00:55:42,560 --> 00:55:47,239
Speaker 1: nephew loves it. Really yes, I just I mean I

926
00:55:47,840 --> 00:55:50,440
Speaker 1: Netflix claims to know me, and yet it keeps trying

927
00:55:50,440 --> 00:55:54,480
Speaker 1: to get me to watch Coco Melon at all. You

928
00:55:54,480 --> 00:55:57,920
Speaker 1: know what you're gonna like Cocoa melon, Like I know

929
00:55:58,000 --> 00:56:00,360
Speaker 1: you just finished watching The Circle again, Like you know

930
00:56:00,400 --> 00:56:05,680
Speaker 1: what's coming on next, Zack Snyder. Cocoa Melon. Yeah, Coco

931
00:56:05,760 --> 00:56:09,279
Speaker 1: Melon is just like one of those things. Like I

932
00:56:09,320 --> 00:56:13,560
Speaker 1: feel like a lot of children's entertainment online is just

933
00:56:13,719 --> 00:56:17,960
Speaker 1: like there were a million people on computers trying to

934
00:56:17,960 --> 00:56:21,480
Speaker 1: make like computer animated children's entertainment at the same time

935
00:56:21,600 --> 00:56:25,520
Speaker 1: and then like just through like a natural like survival

936
00:56:25,520 --> 00:56:29,400
Speaker 1: of the fittest like darwin like YouTube Darwinism, Like a

937
00:56:29,480 --> 00:56:33,640
Speaker 1: handful of them were just like randomly like fired really

938
00:56:33,680 --> 00:56:36,240
Speaker 1: well in kids brains. And that's like how Coco Melon

939
00:56:36,320 --> 00:56:38,600
Speaker 1: came about. It's just like people were like, oh ship,

940
00:56:39,360 --> 00:56:43,520
Speaker 1: they really like this shape of a baby and like

941
00:56:43,640 --> 00:56:46,920
Speaker 1: this type of music combined with it, and that's the

942
00:56:46,960 --> 00:56:50,480
Speaker 1: same thing. Like there's there's other like pink Fong, which

943
00:56:50,520 --> 00:56:54,879
Speaker 1: is the baby shark. People like it's just randomly hit

944
00:56:54,920 --> 00:56:58,160
Speaker 1: on one thing and then they're just like more more

945
00:56:58,160 --> 00:57:01,759
Speaker 1: of that. Um. But it's that like it's really like

946
00:57:01,840 --> 00:57:05,160
Speaker 1: as a parent, you have to like I were very

947
00:57:05,200 --> 00:57:09,480
Speaker 1: careful about like YouTube, because YouTube is just sure, it's

948
00:57:09,520 --> 00:57:15,000
Speaker 1: not there's nothing being There's no like person who is

949
00:57:15,120 --> 00:57:18,480
Speaker 1: making sure that if I turn around, like my kids

950
00:57:18,480 --> 00:57:23,000
Speaker 1: not watching a fucking Ben Shapiro. Yeah, I mean, don't

951
00:57:23,040 --> 00:57:25,880
Speaker 1: let algorithms raise your kids, right and right. And for

952
00:57:25,920 --> 00:57:27,720
Speaker 1: a while there was that thing where I think there

953
00:57:27,760 --> 00:57:29,400
Speaker 1: was an expose in the New York Times, and then

954
00:57:29,920 --> 00:57:32,240
Speaker 1: YouTube try to take some measures to fix it. But

955
00:57:32,440 --> 00:57:36,320
Speaker 1: particularly with children's programming, where you would be watching your kid,

956
00:57:36,400 --> 00:57:38,600
Speaker 1: you would watching your kid would be watching a totally

957
00:57:38,640 --> 00:57:41,880
Speaker 1: normal video, and then a few videos later the videos

958
00:57:41,880 --> 00:57:44,400
Speaker 1: would seem like kids videos, but just would be very

959
00:57:44,600 --> 00:57:47,640
Speaker 1: weird and dark and demented and then where it's like

960
00:57:47,680 --> 00:57:50,280
Speaker 1: Spider Man got hit by a car or something. There

961
00:57:50,320 --> 00:57:54,959
Speaker 1: were some like really dark ones. Oh that's so sorry

962
00:57:55,000 --> 00:58:01,160
Speaker 1: to worry. Sorry, don't worry, wait Spider Man, that's oh man,

963
00:58:01,280 --> 00:58:04,480
Speaker 1: I really wanted to just open up Netflix and like

964
00:58:04,600 --> 00:58:08,439
Speaker 1: do the play random thing and see what I got.

965
00:58:08,560 --> 00:58:11,400
Speaker 1: But it's not. It's not given it to me right now,

966
00:58:11,960 --> 00:58:15,520
Speaker 1: it's not. But yeah, I feel like that, Like, isn't

967
00:58:15,560 --> 00:58:18,720
Speaker 1: that just a like shuffle icon, Like it's just the

968
00:58:18,760 --> 00:58:22,000
Speaker 1: shuffle icon? And then yeah, I feel like, yeah, they

969
00:58:22,040 --> 00:58:24,960
Speaker 1: they're not putting a ton into that, like sort of

970
00:58:25,000 --> 00:58:28,360
Speaker 1: always on the algorithm will choose for you type thing.

971
00:58:28,360 --> 00:58:31,800
Speaker 1: And I think I think eventually they'll probably have like

972
00:58:32,320 --> 00:58:36,960
Speaker 1: some Pluto TV style offering. But do you think you'd

973
00:58:36,960 --> 00:58:40,760
Speaker 1: be like more likely to like watch a channel that

974
00:58:40,920 --> 00:58:45,720
Speaker 1: was like all all of the teen dramas that are

975
00:58:45,760 --> 00:58:50,200
Speaker 1: on Netflix, just like kind of always playing one or

976
00:58:50,240 --> 00:58:53,280
Speaker 1: the other. That's a kind of question. I don't like.

977
00:58:53,400 --> 00:58:56,760
Speaker 1: My instinct is no. But when you say it like that,

978
00:58:56,840 --> 00:58:59,840
Speaker 1: like just oh, this is a genre the algorithm knows

979
00:58:59,880 --> 00:59:02,880
Speaker 1: I like, and they're just going to randomize stuff, I

980
00:59:02,920 --> 00:59:06,240
Speaker 1: would I would try it. Yeah, Yeah, I feel like

981
00:59:06,240 --> 00:59:09,440
Speaker 1: I would too. If they had it always on channel

982
00:59:09,520 --> 00:59:12,640
Speaker 1: for like fucked up documentary or like niche documentary, I

983
00:59:12,680 --> 00:59:14,280
Speaker 1: would I would have it on all the time. I

984
00:59:14,280 --> 00:59:16,440
Speaker 1: would like it would always be on in my home

985
00:59:16,480 --> 00:59:20,600
Speaker 1: if that existed. Yeah, nature, nature documentaries like for me,

986
00:59:20,800 --> 00:59:23,400
Speaker 1: like that's such great like background stuff to have on

987
00:59:23,560 --> 00:59:29,680
Speaker 1: and like it doesn't damage your children. I hate that

988
00:59:29,680 --> 00:59:31,920
Speaker 1: that's something you need to be like absolutely sure of

989
00:59:32,000 --> 00:59:35,360
Speaker 1: in a streaming platform. But it makes sense nails to

990
00:59:35,440 --> 00:59:37,240
Speaker 1: get bored by it so they don't just sit there

991
00:59:37,360 --> 00:59:43,920
Speaker 1: like with their mouth agapem Well, Bridget and Jamie, it's

992
00:59:43,960 --> 00:59:47,480
Speaker 1: been so fun having you guys on t DZ today. Bridget,

993
00:59:47,480 --> 00:59:50,160
Speaker 1: where can people find you and follow you? You can

994
00:59:50,240 --> 00:59:52,840
Speaker 1: find me on the I Heart Radio podcast. There are

995
00:59:52,840 --> 00:59:55,200
Speaker 1: no girls on the internet where we would be happy

996
00:59:55,240 --> 00:59:59,040
Speaker 1: to have you. We talked about all things Internet culture, technology,

997
00:59:59,360 --> 01:00:02,760
Speaker 1: underrepresented voices, feminism, all that fun stuff. You can follow

998
01:00:02,800 --> 01:00:05,280
Speaker 1: me on Instagram at Bridget Marie in d C or

999
01:00:05,320 --> 01:00:08,600
Speaker 1: on Twitter at Bridget Marie. Yeah. Yeah. And is there

1000
01:00:08,640 --> 01:00:10,920
Speaker 1: a tweet or some of the work of social media

1001
01:00:11,000 --> 01:00:14,480
Speaker 1: you've been enjoying? So I have a tweet from Morning

1002
01:00:14,480 --> 01:00:18,560
Speaker 1: Gloria Aaron Ryan. She says, I'm such a carry me

1003
01:00:18,800 --> 01:00:26,320
Speaker 1: every time I get revenge using my telekinesis. That's awesome, Jamie.

1004
01:00:26,760 --> 01:00:29,920
Speaker 1: Where can people find you? Follow you? And what's tweet

1005
01:00:29,920 --> 01:00:34,040
Speaker 1: you've been enjoying? You can find me on Twitter at

1006
01:00:34,160 --> 01:00:38,480
Speaker 1: Jamie loft as help Instagram, Jamie christ Superstar. Listen to

1007
01:00:38,680 --> 01:00:43,280
Speaker 1: ac cast. It's we're halfway done with the series right now,

1008
01:00:43,360 --> 01:00:47,200
Speaker 1: and it's all about the Kathy comics, and this coming

1009
01:00:47,200 --> 01:00:50,880
Speaker 1: week we're gonna be talking about how she's very reflective

1010
01:00:50,920 --> 01:00:53,560
Speaker 1: of all of the frustrating qualities of boomers. And I

1011
01:00:53,600 --> 01:00:56,600
Speaker 1: interviewed my mom for a long time the whole thing.

1012
01:00:57,240 --> 01:01:00,080
Speaker 1: So listen to that. And then the tweet I've and

1013
01:01:00,200 --> 01:01:04,720
Speaker 1: enjoying is from meg Zie at by Meg and it's

1014
01:01:05,080 --> 01:01:08,080
Speaker 1: can't talk right now. I'm doing hot girl shit asterisk

1015
01:01:08,480 --> 01:01:10,720
Speaker 1: eating salt and vinegar chips to the point of causing

1016
01:01:10,760 --> 01:01:12,840
Speaker 1: dozens of cuts along the roof of my mouth, and go,

1017
01:01:16,320 --> 01:01:18,120
Speaker 1: maybe I have to tell you. When I was preparing

1018
01:01:18,160 --> 01:01:21,760
Speaker 1: for this interview, my initial underrated was gonna be Kathy

1019
01:01:22,000 --> 01:01:25,000
Speaker 1: because I feel like, listening to act Cast, I feel

1020
01:01:25,000 --> 01:01:27,280
Speaker 1: like I feel like Kathy got a real bad rap.

1021
01:01:27,400 --> 01:01:30,520
Speaker 1: But Kathy fucking slaps and I feel like we all

1022
01:01:30,960 --> 01:01:35,640
Speaker 1: we I'm happy that you're unearthing how awesome Kathy actually

1023
01:01:35,720 --> 01:01:38,280
Speaker 1: is and her cultural impact because I feel like we

1024
01:01:38,680 --> 01:01:40,320
Speaker 1: kind of let that one slide. We didn't really we

1025
01:01:40,360 --> 01:01:43,680
Speaker 1: didn't really celebrate Kathy for the icon that she is.

1026
01:01:43,800 --> 01:01:46,120
Speaker 1: So I almost was going to use that, but then

1027
01:01:46,120 --> 01:01:47,720
Speaker 1: I was like, oh, that might be I don't know,

1028
01:01:47,720 --> 01:01:49,600
Speaker 1: you were gonna be the guest host, so like that

1029
01:01:49,680 --> 01:01:53,560
Speaker 1: might be like putting around the spot. Thank you. I'm

1030
01:01:53,600 --> 01:01:56,800
Speaker 1: so I'm so excited Kathy has been um. She was

1031
01:01:56,920 --> 01:01:58,960
Speaker 1: very nervous to listen to the show, but so far,

1032
01:01:59,480 --> 01:02:03,800
Speaker 1: so good. The creator of Kathy, oh yeah, not like

1033
01:02:05,920 --> 01:02:09,200
Speaker 1: I was like, Wow, Jamie's really and people are gonna

1034
01:02:09,200 --> 01:02:12,000
Speaker 1: be like, James really in the creation of this show.

1035
01:02:12,080 --> 01:02:21,280
Speaker 1: She's like, yeah, Kathy the is in deep. She's finally

1036
01:02:21,920 --> 01:02:25,640
Speaker 1: she's finally left her body. No, yeah, Kathy's a real

1037
01:02:25,720 --> 01:02:28,960
Speaker 1: person who lives in l A. You know, she's local.

1038
01:02:29,440 --> 01:02:33,480
Speaker 1: M alright tweet. I've been enjoying Luke Moans tweet. If

1039
01:02:33,480 --> 01:02:36,960
Speaker 1: you go forty five minutes outside of any city, Everyone's like,

1040
01:02:37,160 --> 01:02:43,960
Speaker 1: let's all pretend us this out And Sarah Hog tweeted,

1041
01:02:44,040 --> 01:02:46,440
Speaker 1: I want to drink from the hair salon French press

1042
01:02:46,680 --> 01:02:51,120
Speaker 1: and showed you know those barb side things they are

1043
01:02:51,360 --> 01:02:56,480
Speaker 1: why are they French presses? But yeah, that makes it

1044
01:02:56,520 --> 01:02:59,560
Speaker 1: look extra delicious. I've always wanted to drink from that thing.

1045
01:03:00,480 --> 01:03:02,720
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien.

1046
01:03:02,720 --> 01:03:05,400
Speaker 1: You can find us on Twitter at Daily zeit Geist.

1047
01:03:05,480 --> 01:03:08,200
Speaker 1: We're at the Daily Zeitgeist on Instagram, we have Facebook

1048
01:03:08,200 --> 01:03:11,440
Speaker 1: fan page and a website, Daily zeit guys dot com,

1049
01:03:11,440 --> 01:03:15,920
Speaker 1: where we posted our episodes and our foot notes where

1050
01:03:15,960 --> 01:03:19,120
Speaker 1: we link off to the information that we talked about

1051
01:03:19,400 --> 01:03:22,439
Speaker 1: in today's episode, as well as a song we think

1052
01:03:22,480 --> 01:03:25,000
Speaker 1: you should go check out. And Miles is not here

1053
01:03:25,040 --> 01:03:29,280
Speaker 1: to recommend a song, but Bridget, you're telling us about

1054
01:03:29,320 --> 01:03:31,640
Speaker 1: a band that a friend of yours is in that

1055
01:03:31,720 --> 01:03:35,520
Speaker 1: has both a very great band name and is also

1056
01:03:35,560 --> 01:03:38,920
Speaker 1: going on tourist Japanese breakfast. Yes, they're awesome. They're called

1057
01:03:38,960 --> 01:03:41,720
Speaker 1: Full Bush. You could use the song raise. I think

1058
01:03:41,760 --> 01:03:44,240
Speaker 1: that's one of our best song and it's about Philadelphia,

1059
01:03:44,320 --> 01:03:47,400
Speaker 1: so we can write after that, all right, Yeah, yeah, yeah,

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Speaker 1: so go check that out. The Daily zeit Geist is

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Speaker 1: the production of I Heart Radio. For more podcasts from

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Speaker 1: my Heart Radio, visit the I Heart Radio app, Apple podcast,

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Speaker 1: or wherever you listen to your favorite shows. That is

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Speaker 1: going to do it for us this morning, for as

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Speaker 1: this afternoon to tell you what is trending, and we

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Speaker 1: will talk to y'all then Night m