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

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Speaker 1: two of US, a podcast where we take a deep

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Speaker 1: dive into America's share consciousness. It's Tuesday, February twelve, two

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Speaker 1: nine TEA. My name is Jack O'Brien aka Jacko, Brian

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Speaker 1: jack O Bryan, my Osbray, whys Gray Sa good pray

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Speaker 1: oh good. That's courtesy Iss Stewart Thomas, and I'm thrilled

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Speaker 1: to be joined Dad's Always by my co host Mr

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Speaker 1: Miles Yes, Ladies High Miles Gray, also known as Black

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Speaker 1: and Ease, experimental artist your boy Kusama. It is early

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Speaker 1: and I didn't have an instrumental to load up to

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Speaker 1: do a fire eight K, so do hold that, yeah,

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Speaker 1: but we need it from you sometimes to center ourselves. Yeah, yeah,

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Speaker 1: like gang. You know, Lady Gaga also has off nights,

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Speaker 1: know as we saw. Uh. I don't know if you

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Speaker 1: can consider that and all the night that was. She

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Speaker 1: gives a hundred and ten percent every time, and sometimes

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Speaker 1: you can't start at ten percent because you have nowhere

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Speaker 1: to go at the end, starting at an what. We

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

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Speaker 1: the hilarious comedian Kimi at Pornia yes, I thank you, hello,

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Speaker 1: thank you so much for joining us. Of course, did

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Speaker 1: you watch the gram? I watched Jess Gaga, and you're

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Speaker 1: right it went big. Yeah, start big, started big. When

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Speaker 1: you're hair whipping in the first verse, yeah, what'd you

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Speaker 1: do to that microphone? Though she grabbed that standing? What

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Speaker 1: was especially when that part is she was a tornado?

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Speaker 1: I was like, wow, that's what I wanted from that part. Yeah,

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Speaker 1: at that point, but you know, the hair whipping off top,

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Speaker 1: just just give me, give me some space build Yeah,

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Speaker 1: you know, well, and I uh. The critique of people

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Speaker 1: I hate the most is that they try too hard,

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Speaker 1: and so I will never say that. I will never

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Speaker 1: criticize Lady Gaga for trying too hard. But she tries

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Speaker 1: very hard. I don't know if she tried she did too.

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Speaker 1: She does. She does so hard. Patron saint of doing

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Speaker 1: the most. I think I think she's like awkward and

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Speaker 1: I respect it, like because like even her super Bowl performance,

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Speaker 1: everyone's like, it was so amazing and it was, but

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Speaker 1: she also like looks awkward a lot of it. She

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Speaker 1: just moves differently. Yeah you know what I mean, definitely moves.

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Speaker 1: She's not you know, she's not Beyonce is its own thing,

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Speaker 1: you know, j Lo is its own thing, and Lady

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Speaker 1: Gaga is she's a little more you know, stiff, but

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Speaker 1: I love it. I think that's what makes her a

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Speaker 1: little bit more accessible too, because she's not like so

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Speaker 1: fine tuned like in her dancing. Yeah, that's what's great

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Speaker 1: about her and we should never forget it. Yeah, it

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Speaker 1: shout out to Cardi B. Although come on with I

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Speaker 1: like that offset. Seemed like he was like a behind

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Speaker 1: the scenes type dude for most of the day. But anyway, yeah,

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Speaker 1: we digress and all shout out sholdis Gamy, Yeah shoulders

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Speaker 1: childish gambino out to the Grammys. Yes, but it was interesting.

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Speaker 1: I just had the Grammys on the background, no no music,

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Speaker 1: so I couldn't hear what was going on. But I

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Speaker 1: saw the Travis Scott performance where he was like in

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Speaker 1: a cage and then they released like a hundred teenagers

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Speaker 1: who then started climbing up the sides of the cage,

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Speaker 1: and I was like, the Grammys, like, whoever produces the

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Speaker 1: Grammys like really feeling themselves here. They're like, okay, so

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Speaker 1: get this. It's just like just hav them on stage

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Speaker 1: like performing like feeling the energy. But this is what

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Speaker 1: got them in trouble with Ariana Grande. They were like, okay,

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Speaker 1: so we control you do our thing. Yeah, you do

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Speaker 1: our version of a live performance. And she was like, no,

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Speaker 1: fuck you, thank you. Yeah that's uh. You catch my

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Speaker 1: Ariana Grande based set, just all Ariana Grande song puns. Well, Kimmy,

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Speaker 1: we're gonna get to know you a little bit better

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Speaker 1: in a moment. First, we're gonna take our listeners through

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Speaker 1: what we're talking about today. We're gonna check in with

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Speaker 1: the Aladdin trailer. There's a new one out where we

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Speaker 1: finally get to see Will Smith and it is strange.

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Speaker 1: We're gonna talk about the newest coke flavor to be

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Speaker 1: introduced in ten years, Coca Cola Flavor. Uh, and Fox

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Speaker 1: and Friends just a fun joke that they had that

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Speaker 1: grossed our entire office out. So we're gonna talk about that.

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Speaker 1: We're gonna talk about the Denver teacher strike. We're gonna

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Speaker 1: talk about Amy Klobasher, We're gonna talk about the Green

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Speaker 1: New Deal, all of that and plenty more. But first, KIMMYA,

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

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Speaker 1: your search history? That's revealing about who you are. Oh

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Speaker 1: my gosh, let's see. I look up a lot of

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Speaker 1: a lot of birds. I guess a lot of like

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Speaker 1: a type in funny bird. Uh, that's like like bird

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Speaker 1: that learns to say a funny thing that could come across.

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Speaker 1: Mostly it's funny looking birds is what I'm into. Uh.

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Speaker 1: And then um, but I don't really need to search

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Speaker 1: those anymore. I just follow all these bird instagrams. I

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Speaker 1: don't because I've seen them all. Oh yeah, and then that,

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Speaker 1: and I've seen them all. I've seen what you can

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Speaker 1: do birds. How did you get into being really into birds?

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Speaker 1: It's just like a thing like you is a lifelong

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Speaker 1: passion or something in your latter days. Recent I think, uh, yeah,

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Speaker 1: I you really liked pigeons. I like that they are

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Speaker 1: stupid skytrash just there everywhere, and they're hilarious to look

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Speaker 1: at it. So I was just like, oh, pigeons are

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Speaker 1: always my thing. And then I turned noticing other birds,

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Speaker 1: you know, just taking a walk around the street, and

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Speaker 1: then I was like, boy, oh boy, I'm I feel

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Speaker 1: like when I'm seventy, I might turn into a birder.

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Speaker 1: I might be able to tell you what bird flew

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Speaker 1: by by what sounded uh and uh. And I'm not

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Speaker 1: proud of that. But I'm picturing you, like Russell Crowe's

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Speaker 1: character in a beautiful mind, looking at those pigeons, like

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Speaker 1: you're having all these things connecting and in your mind

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Speaker 1: is just like pigeons are fucking hilarious. Oh yeah, that's

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Speaker 1: the outcome instead of game theory. Yeah. Yeah. What is

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Speaker 1: something you think is overrated? Oh? Um or underrated? We

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Speaker 1: can go in either order that you'd prefer. Okay, let's

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Speaker 1: see underrated maybe um, no, is it over it? This

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Speaker 1: is in between seltzer Water. It's both overrated because everybody

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Speaker 1: talks about Lacroix right, and then underrated because people have

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Speaker 1: started to hate it, I guess, and I want them

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Speaker 1: to not. I think seltzer Water should just like always

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Speaker 1: be a baseline good thing. It's like one of those

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Speaker 1: things where it's explosive debut, everyone's hooked and then has

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Speaker 1: to set just settle on its place of yeah, that's

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Speaker 1: now the thing that people will keep, Yes, But then

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Speaker 1: I think they're turning on it. I think people are like,

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Speaker 1: what the fuck what were we doing? Do you have

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Speaker 1: people who are who are like form Lacroix boys, yes,

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Speaker 1: really like why do we like this? And then there

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Speaker 1: was that whole thing come onces ago with the Yeah,

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Speaker 1: I think that's when people turned on it and it's

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Speaker 1: a bullshit myth. But I also don't mind people turning

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Speaker 1: on Lacroix. Fine, go ahead more for me and to bathing.

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Speaker 1: But the idea that there is like some more pure

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Speaker 1: version of Seltzer water out there, people are like, yeah,

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Speaker 1: I don't funk with Lacroix anymore now I'm onto like

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Speaker 1: Sprits the Target brand or yeah, yeah, everybody's on that

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Speaker 1: Polar Seltzer. Yeah, Polar, the Seltzer talking rizz. Yeah, I

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Speaker 1: love the peach one was one of my favorites. Yeah yeah,

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Speaker 1: is that like a is that like a Kirkland brand

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Speaker 1: or something talking? I have no idea. You can get

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Speaker 1: it wherever whatever anyway, but yeah, shout out to all

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Speaker 1: the listeners who when we first talked about the Lacroix

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Speaker 1: cockos like, no, you gotta get on Polar flavors are better. Okay. Also,

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Speaker 1: if somebody, I don't know, do they sell it everywhere

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Speaker 1: in l a Polar I don't know. It is the

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Speaker 1: first time hearing about Polar. See we have a blind spot.

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Speaker 1: Haven't tried Polars? Oh my god, hit with some some

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Speaker 1: flavors that gang that we need to get on, or

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Speaker 1: someone just fucking send us some man, please Polar Lacroix,

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Speaker 1: Oh my god, Polar is so much better than Also, Yes,

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Speaker 1: anyone who works for marketing at Polar, I know you

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Speaker 1: do not listen to this, but maybe someone has somebody

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Speaker 1: that does sponsor the show. You know what I mean?

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Speaker 1: We can will stop saying Lacroix will exclusively refer to

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Speaker 1: this ship as Polar. That's how easily we're bought, very easily.

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Speaker 1: So I don't know if that was your underrated or

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Speaker 1: overrated you know what, I don't either. Do you have

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Speaker 1: anything else you want to talk about the rated nous about? Sure? Well, okay,

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Speaker 1: since we got Gaga on the Brain Stars, warn is overrated. Yeah,

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Speaker 1: you and Sean Penn have a lot not in common.

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Speaker 1: Err he wrote a she wrote some ship in Deadline

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Speaker 1: an open letter to be like Bradley Cooper needs to

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Speaker 1: be recognized for this. Was that the performance or the

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Speaker 1: direction I think it was. I don't know. It was

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Speaker 1: hard to tell because it was like literally taking your

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Speaker 1: trip through like Sean Penn's head, like, and it was

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Speaker 1: all over the map of him just caping for for

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Speaker 1: Bradley Cooper. So he has high praise for ye okay,

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Speaker 1: a journey up Sean Penn's asshole with Sean Penn's head.

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Speaker 1: What did you think? What's what was the overrated party?

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Speaker 1: I don't know. I sort of because, like I saw

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Speaker 1: it maybe three weeks after it had been out, so

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Speaker 1: I had suffered everyone being like you gotta see the

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Speaker 1: stars weren't Oh, it was so good and I cried

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Speaker 1: and blah, and then uh, I went and I watched it,

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Speaker 1: and I was sort of like, gosh, why did we

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Speaker 1: remake this movie for like what a fourth time? Now?

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Speaker 1: Like for what? For what? Yeah, because you had to

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Speaker 1: see what it's like to be a star these days

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Speaker 1: you have to go on SNL and that's annoying to you.

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Speaker 1: Gotta fucking smash up your pills with your boot heel

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Speaker 1: just to snort them, gosh and get a butt injection. Yeah,

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Speaker 1: and then they said, yeah, I mean, I I love

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Speaker 1: Bradley Cooper because I'm O G. Alias fan, Like I

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Speaker 1: love Alias and he was in that, but he was

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Speaker 1: not my favorite part of that, And then just everyone

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Speaker 1: being like, God, he's so hot. I'm like, I don't know, man,

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Speaker 1: he was a slurry. They thought he was hot and

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Speaker 1: the stars worn. I was like, all these things people

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Speaker 1: are thinking about stars born, Ted Bundy is hot, is hot? Yeah, yikes. Anyway,

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Speaker 1: well he was his real dog in that movie, and

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Speaker 1: everyone was like, oh, how cute, but that was his

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Speaker 1: real dog. I guess I'm mad about everything everybody likes

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Speaker 1: about that movie. I bet he was real method about

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Speaker 1: it and made his dog think that he was spoiler.

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Speaker 1: Oh really all right, I don't know, made his dog

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Speaker 1: think he was Kaiser. So yeah, there is like a

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Speaker 1: big I don't know. I feel like I'm being inundated

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Speaker 1: with propaganda, except I know it's not propagandic because it

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Speaker 1: would be super random. But Sean Penn writing that letter

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Speaker 1: and then Jesus from Jesus and marrow that over the weekend,

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Speaker 1: he was like, that's my favorite movie, and like he's

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Speaker 1: paid twenty bucks to rent it. Even though I had

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Speaker 1: the screen, I just couldn't find it, but I had

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Speaker 1: to see it. He's joking, but maybe it resonated. I

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Speaker 1: literally was waiting for the two weeks after the movie

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Speaker 1: where everybody turns on it because there's that first like

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Speaker 1: a moment wherever this is great, and then you get

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Speaker 1: these things pieces that are like, was it great? This

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Speaker 1: is what happened? For real? It didn't happen to this

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Speaker 1: movie because it's the best movie that's been made in

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Speaker 1: America in the past twenty years. God, but that's how

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Speaker 1: Sean Penn was talking about it. It It was like one

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Speaker 1: of those essays that accompanies the criteria and collection. He

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Speaker 1: was like, anyone who didn't vote for Bradley Cooper to

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Speaker 1: be Best Director and Best Picture and Best Actor, like

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Speaker 1: is fooling themselves essentially. Yeah, uh so, I don't know

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Speaker 1: it's weird because Sean Penn doesn't take himself seriously. I mean,

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Speaker 1: there was that one Oscars where he reprimanded Chris Rock

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Speaker 1: for making a joke about Jude Law. It's like, I'll

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Speaker 1: tell you who Jude Laws. He's one of our finest actors.

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Speaker 1: Um Anyway, the last line of that Sean Penn open

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Speaker 1: letter was just a star is Born is simply everything

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Speaker 1: that movies should be. If we honor anything, it should

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Speaker 1: be it, this should be it. Sorry. Well that makes

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Speaker 1: sense to me because it's like there's some empty like

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Speaker 1: Star Warship in what happens with Bradley Cooper's character, Like

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Speaker 1: it feels unearned. But I can see if you yourself

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Speaker 1: are so into celebrity and like, you know, the sanctity

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Speaker 1: of like a star's career. Like I'm sure Sean Penn

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Speaker 1: is that, like he would be like this is the

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Speaker 1: New Testament and he's like this is what it's like

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Speaker 1: being a star. It's tough, dude, get it right? Yeah? Yeah? Uh? Finally,

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Speaker 1: what is a myth? What's something people think is true?

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Speaker 1: You know, to be false? Uh? Personal myth or just

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Speaker 1: any miss any kind up to you? Yikes. Okay, well

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Speaker 1: I'm pop a personal one in there real quick. Hey everybody,

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Speaker 1: I'm not black in there? Yeah, because you guys get

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Speaker 1: Lacy mostly on here and she's like big on telling

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Speaker 1: people that I am black and I'm not. So I

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Speaker 1: gotta just spell that where I go. Yes, yes, like

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Speaker 1: mistakenly or with you not to funk with me. Yeah, yes,

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Speaker 1: Like people think I'm black because like my hair and

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Speaker 1: I guess I don't know what else, but I get

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Speaker 1: that all the time, people like are you biracial? You

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Speaker 1: gotta be at least half. I'm like, no, I'm fully Persian.

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Speaker 1: But at least he's like, nah, no way, just going

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Speaker 1: to deny my identity and then just go around telling

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Speaker 1: people I am actually absolutely not leave that one alone.

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Speaker 1: Thank you. Uh and then let's see you. Oh a myth,

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Speaker 1: A myth. I love that. Lazy. Just always assumed somebody's

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Speaker 1: up to like some broad like scam or something like

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Speaker 1: your life is probably based on a lie. If I

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Speaker 1: had to get she like on Martin Luther king Day

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Speaker 1: or whatever, made a post about me is a black

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Speaker 1: queen and I'm like, please no more. Oh wow, Well

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Speaker 1: that's enough. Yeah, that's that's a great man like that.

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Speaker 1: That's how lazy. She's like, you're not personally I see it.

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Speaker 1: Let's talk Aladdin, you guys. The Aladdin trailer is out

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Speaker 1: and Will Smith looks like he was rendered by the

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Speaker 1: same animators who made Polar Express like fifteen years ago.

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Speaker 1: He looks like dead behind the eyes and him though

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Speaker 1: it is But so that was Tom Hanks in the Valley. Yeah,

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Speaker 1: he looked like weird and dead behind the eyes. I

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Speaker 1: shout out to his shoulders and back muscles. Well, so

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Speaker 1: here's my question, because one of the issues is it

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Speaker 1: feels like his body, his gestures are not matching his face,

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Speaker 1: like the words that his face is. To be fair,

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Speaker 1: we only saw him say like two things, right, but

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Speaker 1: it's like, I'm I went really deep on this, like

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Speaker 1: it's a pruder film style, and it's just I'm wondering

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Speaker 1: if they are just rendering his body like that, that's

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Speaker 1: not his real body and it's like c G I

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Speaker 1: and they there's just a mismatch or something, because it

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Speaker 1: felt to me like they photo shopped a two small

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Speaker 1: version of his face onto a c G. I. Robin

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Speaker 1: Williams character's body from Interesting. I did not look that

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Speaker 1: deeply into it. I was again just impressed by his

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Speaker 1: muscle mass because yeah, that drawing from the original one

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Speaker 1: that that Genie was sucking barrel chested like ye shaped torso.

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Speaker 1: So they came through with that. But yeah, I don't know,

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Speaker 1: we'll we'll see. I mean, guy Richie, I didn't realize

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Speaker 1: he was directing it until the end. I was like, oh, guy, Ritchie,

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Speaker 1: that was the real twist ending Okay, yeah, I'm and

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Speaker 1: we were kind of hard pressed to figure out his

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Speaker 1: last great work as a direct or, and I think

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Speaker 1: it was a Snatch. So it's been a while. I

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Speaker 1: couldn't tell you. Did you like to Sherlock Holmes? Did

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Speaker 1: you watch those movies? I did not. Well, my dad did.

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Speaker 1: That's made for dad's I think, yeah, my dad, cool scenes.

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Speaker 1: But I was never like, yo, that was a good movie.

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Speaker 1: Uh so okay, we'll see guy Ritchie. It was fine.

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Speaker 1: I'm buckling up. I will say that this might not

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Speaker 1: be indicative of the finished product. Like the c g

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Speaker 1: I on Jurassic World, people were up in arms about

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Speaker 1: how bad that was going to be. Really, it just

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Speaker 1: kept getting better with each trailer release because they hadn't

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Speaker 1: finalized it, and so, yeah, it just looked like a

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Speaker 1: video game dinosaur and they're like, yo, that raptor was

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Speaker 1: a guy with a bunch of little white circles on

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Speaker 1: his body. That's the mo cap the yet. Yeah, and

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Speaker 1: then they ended up being pretty good in the movie.

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Speaker 1: So it's possible they've just given us a like partially

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Speaker 1: rendered genie and they're still working on it. Which if

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Speaker 1: they're not still working on it, they need to be

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Speaker 1: because it didn't look great taken. Let's talk about Coke's

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Speaker 1: new flavor, Orange Vanilla. Yeah, what ten years has been

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Speaker 1: ten years since the regular coke has had a new flavor.

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Speaker 1: The last one was vanilla. I think so vanilla and

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Speaker 1: I think vanilla, and yeah, now they're going into orange

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Speaker 1: vanilla coke. So we're talking dreamsickle land. Um. I look

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Speaker 1: last year they did all those wild diet coke flavors

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Speaker 1: uh that we tried on the show, uh, and we

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Speaker 1: were not very impressed with. No one was like, oh,

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Speaker 1: this is my new drink. But it's you know, the

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Speaker 1: whole thing is now that people are, you know, like

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Speaker 1: on this Lacroix Polar Seltzer not fucking with sugar train.

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Speaker 1: Coke has had to figure out a way to try

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Speaker 1: and get people interested again. So this is I guess there.

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Speaker 1: This is the bet they're laying down. Say, yo, we

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Speaker 1: know you like the orange vanilla flavor, can you bring

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Speaker 1: it in weird to release a new flavor, because now

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Speaker 1: every place or like every restaurant has that machine, the

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Speaker 1: sounder machine, where you can pick a soda and add

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Speaker 1: those flavors to it. And I think they're gambling that,

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Speaker 1: like we funk that up and they're like, what we

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Speaker 1: get this balance exactly right right? Yeah? Yeah, that machine

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Speaker 1: I always end up getting some ship that like sounds

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Speaker 1: good in my head, and I'm like, peach ginger ile

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Speaker 1: not the best. Yeah, I always go diet coke with

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Speaker 1: a little cherry um. It's a little something about me, guys.

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Speaker 1: But I do wonder like if they're going in this direction,

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Speaker 1: because there seems to be two directions that food is going.

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Speaker 1: There's on one hand more like healthier and people are

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Speaker 1: eating more consciously, and then on the other just complete

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Speaker 1: like dumping sugar and fat into your body. And so

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Speaker 1: like this is their attempt to like double down. I

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Speaker 1: guess maybe it'll be sweeter than what it sounds like, right,

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Speaker 1: I think coming out at the end of the month.

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Speaker 1: So we'll have to bring it in, yeah, and give

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Speaker 1: it the true judgment. What if we melt to one

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Speaker 1: of those dream sickles into your Coca Cola. That's the

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Speaker 1: part where it's we were like, I could orange vanilla soda.

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Speaker 1: I would be like, okay, yeah, it's that. Then factoring

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Speaker 1: in the coke part, yeah, we shall see, Like if

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Speaker 1: Coke just made an orange vanilla creamsickle soda, that would

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Speaker 1: be well, look, let's let's just let the people of

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Speaker 1: Coca Cola again. Let's talk more about this, get back

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Speaker 1: to their agenda, sucking the earth fucking dry of water. Yes, yes, yes,

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Speaker 1: let's talk about Fox and Friends finally, because host Pete

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Speaker 1: had a moment on the show where he decided it

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Speaker 1: was time to tell the truth to the American people.

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Speaker 1: So check this. Check this moment of clarity out from

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Speaker 1: the host. As I told you, my resolution is to

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Speaker 1: say things on air that I say off air. I

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Speaker 1: don't think I've washed my hands for ten years. Really,

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Speaker 1: I don't. I don't really wash my hands. Tell me, no,

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Speaker 1: I inoculate myself. Are not a real thing. I can't them,

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Speaker 1: Therefore they're not. So you're becoming immune to all of

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Speaker 1: the all the I can't get sick. Now, you know.

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Speaker 1: I don't believe that he has not washed his hands

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Speaker 1: in ten years, because you would be ostracized. I'm sure

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Speaker 1: he has incidentally washed them well in the show. Yeah,

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Speaker 1: although he gives accidentally so he might put on those

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Speaker 1: disc gloves. Certainly has not done dishes. He's a man,

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Speaker 1: that's like, why you do my dishes? Yes? He What

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Speaker 1: I will believe though, is he probably doesn't wash his

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Speaker 1: hands coming out the bathroom. No, I guarantee, because he

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Speaker 1: has that kind of because this is a thing, like

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Speaker 1: you know, at first a lot of people were writing

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Speaker 1: up full on articles about like this fallacy of like

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Speaker 1: germs being invisible or whatever, and then other and then

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Speaker 1: people were like, oh, you triggered the lips, Like yeah, dude,

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Speaker 1: he's like my dead pan humor style is crushing it.

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Speaker 1: But this is a kind of logic that I see

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Speaker 1: being used a lot, which is sort of like he

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Speaker 1: seems the kind of person like I have a strong

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Speaker 1: immune system, so I don't get sick, Therefore it must

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Speaker 1: mean germs are not real. It's the flu shot thing

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Speaker 1: that we've talked about on this show, like that because

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Speaker 1: you don't get the flu, and because you're young and

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Speaker 1: in good health, that you shouldn't get a flu shot.

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Speaker 1: And it's like, well you might be carrying the flu

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Speaker 1: and killing little children and elderly people. And same deal

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Speaker 1: with like not washing your hands like that that might

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Speaker 1: work for you because you're a young, strapping man in

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Speaker 1: his in his peak pete HEGSA but I don't even

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Speaker 1: know what he looks like. But yeah, I mean this

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Speaker 1: is like the height of privilege just being like, yeah,

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Speaker 1: I don't I don't wash my hands, like you're not.

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Speaker 1: There are people who are immunocompromised who could not fucking

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Speaker 1: even entertain the idea of going somewhere that could be

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Speaker 1: dirty or whatever. But you know, you want to read

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Speaker 1: a really infuriating portion of history, read the effort, the

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Speaker 1: effort of the guy who like came up with germ

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Speaker 1: theory to try and get doctors who deliver baby to

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Speaker 1: wash their hands, and they just refused because they thought

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Speaker 1: it was beneath them to wash hands, to wash hands

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Speaker 1: in between delivering one baby and the next, and so

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Speaker 1: women would die in childbirth like unnecessarily for years and years.

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Speaker 1: And then when they finally incorporated it into the routine,

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Speaker 1: like n of these people's lives were saved. Yeah, In

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Speaker 1: the junior year in my high school, we had to

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Speaker 1: write a research paper that was like the thing every

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Speaker 1: junior had to do, and my best friend wrote paper

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Speaker 1: like a liven page paper about hand washing its great

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Speaker 1: yep uh. And apparently to really wash your hands, you're

401
00:22:35,640 --> 00:22:39,520
Speaker 1: supposed to soap and water them for too happy birthdays,

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00:22:39,640 --> 00:22:42,720
Speaker 1: so you're n sing happy birthday twice for it to

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Speaker 1: be clean en and used boiling water just fire. Actually,

404
00:22:49,359 --> 00:22:51,520
Speaker 1: the cleansing power of the flame. But I remember this

405
00:22:51,600 --> 00:22:54,800
Speaker 1: is like a eighties stand up comedy point of view,

406
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Speaker 1: where it's like anti science, being anti science and like

407
00:22:58,920 --> 00:23:03,440
Speaker 1: anti like society is like cool writing, and it's just like,

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Speaker 1: I don't know, you're just bad at humor Fox News.

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Speaker 1: I think it's when you look though, at just sort

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Speaker 1: of the kinds of science takes though people have had

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Speaker 1: on Fox. At first, I can see why some people

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Speaker 1: were like, here they go again, because Bill O'Reilly on

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Speaker 1: want Cat, they put together like a few like in

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Speaker 1: the past they've always reported on weird ship that they say,

415
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Speaker 1: But there was like a time Bill O'Riley like challenged

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Speaker 1: an atheist like over the tides and say like, well

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Speaker 1: that's God and like the eighth us like that that's

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Speaker 1: like the moon and they grab and then o'riley's like,

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Speaker 1: oh yeah, who put the moon there? God? So checkmate.

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Speaker 1: And then other times people were like is the metric

421
00:23:41,320 --> 00:23:45,160
Speaker 1: system why planes are crashing? Like so you know, uh,

422
00:23:45,359 --> 00:23:47,200
Speaker 1: Fox is not the place to get your science takes.

423
00:23:47,320 --> 00:23:50,400
Speaker 1: But you know, you know, I hope Pete at least

424
00:23:50,560 --> 00:23:52,679
Speaker 1: uses some PUREU and do not shake his hand when

425
00:23:52,720 --> 00:23:55,800
Speaker 1: he comes out. The point that's fine. If if he

426
00:23:55,840 --> 00:23:59,400
Speaker 1: wants to kill off the rest of Fox News, uh,

427
00:23:59,840 --> 00:24:01,320
Speaker 1: do it on his own time. But if he is

428
00:24:01,359 --> 00:24:04,320
Speaker 1: serious and you you're acting like you were joking, Pete,

429
00:24:04,359 --> 00:24:06,800
Speaker 1: he said. But if you are serious, goal lick. The

430
00:24:06,800 --> 00:24:08,960
Speaker 1: floors of a hospital of germs are invisible and they

431
00:24:08,960 --> 00:24:11,879
Speaker 1: don't exist. Pull up with that energy. And also stop

432
00:24:11,920 --> 00:24:13,560
Speaker 1: washing your hands when you go to the shower. I

433
00:24:13,600 --> 00:24:16,280
Speaker 1: want to see I want to see literal flies buzzing

434
00:24:16,280 --> 00:24:23,280
Speaker 1: around your hands. Miss someone having to describe someone like yo,

435
00:24:23,359 --> 00:24:29,840
Speaker 1: their hands fucking stink. It's just the weirdest statement. All Right,

436
00:24:29,880 --> 00:24:31,760
Speaker 1: we're gonna take a quick break. We'll be right back,

437
00:24:41,880 --> 00:24:47,040
Speaker 1: and we're back. And so is the teacher unions striking

438
00:24:47,920 --> 00:24:51,639
Speaker 1: across in these United States. Uh this time it is

439
00:24:51,680 --> 00:24:56,920
Speaker 1: in Denver. The teachers there are on strike because they

440
00:24:56,960 --> 00:25:01,520
Speaker 1: want to be paid a reason properly, Yeah, a seventy

441
00:25:01,560 --> 00:25:06,200
Speaker 1: thousand teachers strike or seventy one because it took fifteen

442
00:25:06,240 --> 00:25:08,920
Speaker 1: months of negotiating with the school district and they got

443
00:25:08,960 --> 00:25:11,680
Speaker 1: fucking nowhere and the whole This is kind of a

444
00:25:11,760 --> 00:25:14,560
Speaker 1: unique situation because it's not the usual, Like I mean,

445
00:25:14,560 --> 00:25:17,639
Speaker 1: it is over pay, but the pay structure in Denver

446
00:25:17,760 --> 00:25:20,000
Speaker 1: is really kind of confusing because they use these like

447
00:25:20,080 --> 00:25:24,360
Speaker 1: bonuses that are like incentivized, but they're inconsistent, and teachers

448
00:25:24,359 --> 00:25:26,399
Speaker 1: themselves won't even know when they hit because like sometimes

449
00:25:26,400 --> 00:25:28,360
Speaker 1: they're like, I made four thousand dollars more last year

450
00:25:28,359 --> 00:25:30,920
Speaker 1: because this like weird growth bonus hit, but I didn't

451
00:25:30,920 --> 00:25:33,479
Speaker 1: know when it was coming. So their whole thing is like, yo,

452
00:25:33,560 --> 00:25:35,600
Speaker 1: get rid of the bonuses, use that money that you

453
00:25:35,640 --> 00:25:38,160
Speaker 1: were going to use to give bonuses, and just increase

454
00:25:38,200 --> 00:25:42,160
Speaker 1: our base pay because we cannot financially plan when I'm

455
00:25:42,280 --> 00:25:44,879
Speaker 1: rolling the dice all the time for these inconsistent bonuses.

456
00:25:45,320 --> 00:25:48,479
Speaker 1: So I mean, this seems like a very very easy

457
00:25:48,560 --> 00:25:52,520
Speaker 1: thing to resolve, because you know the money is. They're

458
00:25:52,640 --> 00:25:54,640
Speaker 1: just taking it away from these bonuses that you think

459
00:25:54,640 --> 00:25:57,359
Speaker 1: are working and put them into base bay. But they're

460
00:25:57,400 --> 00:26:00,320
Speaker 1: at a stand still, and the governor doesn't really want

461
00:26:00,359 --> 00:26:02,119
Speaker 1: to get involved yet. I think he was saying, like,

462
00:26:02,200 --> 00:26:04,960
Speaker 1: I think they can resolve this on their own. But

463
00:26:05,480 --> 00:26:08,119
Speaker 1: as I always say, give teachers what the funk they want,

464
00:26:08,520 --> 00:26:12,160
Speaker 1: because they are helping fucking educate people and they are

465
00:26:12,160 --> 00:26:15,240
Speaker 1: the first line of defense against ignorance most of the time.

466
00:26:16,000 --> 00:26:18,720
Speaker 1: Man teachers must. Yeah, teachers really don't make a lot,

467
00:26:18,760 --> 00:26:21,240
Speaker 1: I think, because I remember every elementary school teacher I

468
00:26:21,320 --> 00:26:23,840
Speaker 1: ever had would mention how much they do not make

469
00:26:23,920 --> 00:26:26,719
Speaker 1: money in class. That's the thing they would always talk

470
00:26:26,760 --> 00:26:29,280
Speaker 1: about there, like well, I bought you all pencils. But

471
00:26:29,400 --> 00:26:36,320
Speaker 1: remember I'm just a teacher. Remember my walking cane broke.

472
00:26:36,960 --> 00:26:40,199
Speaker 1: Isn't that a broomstick with a ruler? I couldn't afford to.

473
00:26:40,880 --> 00:26:44,800
Speaker 1: I had to make it. But I remember, Yo, the

474
00:26:44,840 --> 00:26:47,640
Speaker 1: first time I saw I realized that my teacher had

475
00:26:47,640 --> 00:26:50,320
Speaker 1: two jobs. I saw her at Macy's or it was

476
00:26:50,359 --> 00:26:53,520
Speaker 1: the may Company back or no, it was Robinson Robinson's.

477
00:26:54,320 --> 00:26:56,680
Speaker 1: She was working the beauty counter and I walked through

478
00:26:56,720 --> 00:26:59,040
Speaker 1: and I saw her spraying perfume and I was like,

479
00:26:59,400 --> 00:27:02,000
Speaker 1: this is he Cox and she was like, oh hi,

480
00:27:02,080 --> 00:27:04,920
Speaker 1: And I was shook because you know, when you're eight

481
00:27:05,040 --> 00:27:06,920
Speaker 1: nine years old, you just think you have one job

482
00:27:07,480 --> 00:27:10,479
Speaker 1: and then you and you don't realize that their teachers

483
00:27:10,520 --> 00:27:13,800
Speaker 1: are getting paid funk all. And then afterwards like all

484
00:27:13,840 --> 00:27:15,880
Speaker 1: the other kids like oh yeah, like I've seen her

485
00:27:15,880 --> 00:27:18,480
Speaker 1: there too, and she was explaining He's like, yo, uh,

486
00:27:18,520 --> 00:27:20,880
Speaker 1: they're not paying me enough here. So I get down

487
00:27:20,880 --> 00:27:23,640
Speaker 1: with the beauty counter and yeah, and like a lot

488
00:27:23,680 --> 00:27:25,560
Speaker 1: of so many teachers are uber drivers too. I mean,

489
00:27:25,600 --> 00:27:29,520
Speaker 1: so many Uber drivers are also teachers. So just my god,

490
00:27:29,600 --> 00:27:32,240
Speaker 1: don't make it already hard for these people to take

491
00:27:32,280 --> 00:27:35,440
Speaker 1: care of your children and educate them. Also, your kids

492
00:27:35,440 --> 00:27:40,840
Speaker 1: are shitty, kids are mean. Yea, if I get those

493
00:27:40,840 --> 00:27:42,560
Speaker 1: millions of dollars, there are a few teachers I'm gonna

494
00:27:42,680 --> 00:27:44,720
Speaker 1: have to break off with a check or two. Thank

495
00:27:44,760 --> 00:27:48,879
Speaker 1: you for not throwing trying to get me expelled. Yeah,

496
00:27:48,960 --> 00:27:52,960
Speaker 1: I mean this payment method is really diabolical because it's

497
00:27:53,240 --> 00:27:57,040
Speaker 1: it's taking sort of the psychology of American capitalism the

498
00:27:57,080 --> 00:28:00,119
Speaker 1: way you know, some people make it big, even if

499
00:28:00,119 --> 00:28:03,520
Speaker 1: it's one percent of the population. Those people get super rich,

500
00:28:03,840 --> 00:28:06,719
Speaker 1: and so we see them and we assume, oh, we

501
00:28:06,760 --> 00:28:10,320
Speaker 1: can get there too. So, like by putting some of

502
00:28:10,359 --> 00:28:14,600
Speaker 1: the money in bonuses that are kind of given out randomly,

503
00:28:15,240 --> 00:28:19,719
Speaker 1: you are basically messing with people mentally. And it's good that,

504
00:28:20,400 --> 00:28:22,480
Speaker 1: like the only way to fight something like that is

505
00:28:22,520 --> 00:28:27,040
Speaker 1: by organizing collectively and having a big enough power to

506
00:28:27,600 --> 00:28:29,639
Speaker 1: you know, back you up. And then they see that

507
00:28:29,680 --> 00:28:31,640
Speaker 1: one person and you're like, oh, what you don't realize

508
00:28:31,640 --> 00:28:33,760
Speaker 1: is that a lot of that success has been predetermined

509
00:28:33,760 --> 00:28:36,640
Speaker 1: by you know, societal structures. But again we can act

510
00:28:36,680 --> 00:28:39,200
Speaker 1: like it's a fairytale story. That is why we cover

511
00:28:39,320 --> 00:28:43,320
Speaker 1: that up as vigorously as possible in our mass media.

512
00:28:43,720 --> 00:28:47,760
Speaker 1: The role that parents and inherited wealth have to play

513
00:28:47,880 --> 00:28:51,200
Speaker 1: in American success. Let's talk about Amy Club, but she

514
00:28:51,280 --> 00:28:55,959
Speaker 1: has entered the ring. Another challenger for the presidential nomination.

515
00:28:57,960 --> 00:29:01,000
Speaker 1: She announced on Sunday, and you know, the people came

516
00:29:01,000 --> 00:29:04,520
Speaker 1: out in Minnesota. It was a snowing and I don't

517
00:29:04,800 --> 00:29:07,600
Speaker 1: you know, I have that California privilege. It looked cool

518
00:29:07,640 --> 00:29:09,920
Speaker 1: to me. I don't know how it was for the locals,

519
00:29:09,920 --> 00:29:13,720
Speaker 1: but she was out there announced her candidacy. People are

520
00:29:13,760 --> 00:29:16,520
Speaker 1: with it, and you know, last week there are a

521
00:29:16,560 --> 00:29:18,440
Speaker 1: lot of stories coming out about how she was just

522
00:29:18,640 --> 00:29:22,560
Speaker 1: a like horrific person to work for that, like she

523
00:29:22,600 --> 00:29:25,280
Speaker 1: would like chew people out. Uh. They said one time

524
00:29:25,320 --> 00:29:27,920
Speaker 1: she threw a binder of like a report and it

525
00:29:28,040 --> 00:29:30,800
Speaker 1: hit an aid once. But then someone who worked there

526
00:29:30,840 --> 00:29:32,200
Speaker 1: meant like said it is like, well, she threw it,

527
00:29:32,240 --> 00:29:34,640
Speaker 1: but she didn't mean for to hit somebody. She just

528
00:29:34,680 --> 00:29:38,200
Speaker 1: threw it because she's angry. Uh. And someone asked her

529
00:29:38,200 --> 00:29:39,920
Speaker 1: about that point blank, the like what about these stories,

530
00:29:39,960 --> 00:29:42,320
Speaker 1: and she just said, you know. Someone also pointed the

531
00:29:42,360 --> 00:29:44,160
Speaker 1: fact that there's a lot of turnover in her office

532
00:29:44,200 --> 00:29:46,200
Speaker 1: for staff, and she said, yes, I can be tough,

533
00:29:46,240 --> 00:29:48,760
Speaker 1: and yes I can push people. I have high expectations

534
00:29:48,800 --> 00:29:50,720
Speaker 1: for myself. I have high expectations for the people that

535
00:29:50,760 --> 00:29:53,800
Speaker 1: work for me, but I have high expectations for this country.

536
00:29:53,800 --> 00:29:55,600
Speaker 1: In the end, there are so many great stories of

537
00:29:55,600 --> 00:29:57,880
Speaker 1: our staff that have been with me for years, so

538
00:29:58,240 --> 00:30:00,680
Speaker 1: I don't think, uh, this is really that big of

539
00:30:00,720 --> 00:30:03,920
Speaker 1: a deal. I've you know, she's a very achieving, high

540
00:30:03,960 --> 00:30:06,320
Speaker 1: achieving person, and I've had people I work for who

541
00:30:06,400 --> 00:30:08,400
Speaker 1: were very demanding and at first I was like, Yo,

542
00:30:08,400 --> 00:30:11,440
Speaker 1: this person is out there sucking head and then typically

543
00:30:11,600 --> 00:30:13,280
Speaker 1: by the end of it, I was like, damn, I

544
00:30:13,360 --> 00:30:16,160
Speaker 1: was a lot better because of this person's insistence. But

545
00:30:16,280 --> 00:30:19,040
Speaker 1: I don't know if she's really on some like terrifying

546
00:30:19,520 --> 00:30:21,960
Speaker 1: type ship. Because there were rumors that this is a rumor,

547
00:30:22,200 --> 00:30:25,120
Speaker 1: it's not journalism, this is not published anywhere. There's an

548
00:30:25,120 --> 00:30:28,760
Speaker 1: allegation that like a staffers shaved her legs once because

549
00:30:28,760 --> 00:30:31,320
Speaker 1: she was like too busy. So I mean, if we're

550
00:30:31,320 --> 00:30:34,120
Speaker 1: getting into that that territory. That's a little bit weird.

551
00:30:34,400 --> 00:30:36,680
Speaker 1: It depends on if they were willingly they were like,

552
00:30:36,720 --> 00:30:38,640
Speaker 1: oh you're too busy to shave your legs here, I'll

553
00:30:38,640 --> 00:30:43,040
Speaker 1: tap Like if it was she's like rob right, it's

554
00:30:43,080 --> 00:30:45,840
Speaker 1: like the character from Deep who's like her rate head.

555
00:30:46,280 --> 00:30:48,560
Speaker 1: Yeah yeah, but it's like, I'm sure hasn't like a

556
00:30:48,760 --> 00:30:52,120
Speaker 1: busy man had his face shaved. I'm sure you go.

557
00:30:52,280 --> 00:30:55,000
Speaker 1: I mean, look, Mitt Romney, didn't he iron some ship

558
00:30:55,080 --> 00:30:58,560
Speaker 1: with him in the clothes? I think he like ironed

559
00:30:58,600 --> 00:31:01,480
Speaker 1: his own pants while we're them or something. I mean,

560
00:31:01,520 --> 00:31:03,640
Speaker 1: I think maybe more stories will come out, and there

561
00:31:03,640 --> 00:31:05,479
Speaker 1: are many other aids to have been like, look she

562
00:31:05,840 --> 00:31:08,120
Speaker 1: is right, or die for her staff, like once you're

563
00:31:08,120 --> 00:31:10,560
Speaker 1: in there, and I think, like anything, you know, I

564
00:31:10,600 --> 00:31:12,440
Speaker 1: don't know the full extent, but I do know people

565
00:31:12,480 --> 00:31:14,440
Speaker 1: there are some people of a very low threshold for

566
00:31:14,440 --> 00:31:17,680
Speaker 1: adversity in the job and can start to implode very quickly.

567
00:31:17,680 --> 00:31:20,440
Speaker 1: If it's like not kumbay all the time and someone

568
00:31:20,600 --> 00:31:22,600
Speaker 1: is you know, someone might press you if you did

569
00:31:22,600 --> 00:31:25,240
Speaker 1: a bad job. That's not wrong, that's just you know,

570
00:31:25,280 --> 00:31:28,200
Speaker 1: there's there's standards. But yeah, if you're like throwing you

571
00:31:28,280 --> 00:31:30,560
Speaker 1: gotta you gotta cool that sure. At the same time,

572
00:31:30,600 --> 00:31:34,320
Speaker 1: I think we should resolve that whenever covering a woman

573
00:31:34,320 --> 00:31:38,440
Speaker 1: who is running for president in we should just try

574
00:31:38,520 --> 00:31:41,080
Speaker 1: to steer clear of stuff that doesn't have to do

575
00:31:41,160 --> 00:31:44,560
Speaker 1: with how good a president they would be, like I

576
00:31:44,600 --> 00:31:47,160
Speaker 1: don't know, based on their moods, based on their moods

577
00:31:47,280 --> 00:31:51,040
Speaker 1: or like, you know, likability is another way that people,

578
00:31:51,600 --> 00:31:54,240
Speaker 1: you know, hold women to a different standard than men.

579
00:31:54,560 --> 00:31:57,480
Speaker 1: And I don't know if this would be even a

580
00:31:57,680 --> 00:32:01,120
Speaker 1: story if people were like, you know, Chris Christie really

581
00:32:01,160 --> 00:32:04,440
Speaker 1: pushes people hard. Yeah, he threw a folder. See, he

582
00:32:04,600 --> 00:32:07,400
Speaker 1: was passionate, right. I just don't I don't know that

583
00:32:07,400 --> 00:32:09,680
Speaker 1: that would even be a thing. There was one person

584
00:32:09,800 --> 00:32:12,800
Speaker 1: was like I cried every day, right, and I was like, well,

585
00:32:12,840 --> 00:32:16,360
Speaker 1: you know, yeah, it's hard out here working on the hill. Yeah.

586
00:32:16,520 --> 00:32:19,080
Speaker 1: And you hear that stuff all the time about like

587
00:32:19,120 --> 00:32:23,920
Speaker 1: Steve Jobs was worshiped as a saint of American capitalism.

588
00:32:24,480 --> 00:32:27,080
Speaker 1: He was really really hard to work for. It was

589
00:32:27,160 --> 00:32:29,120
Speaker 1: those stories about he would just pull up into like

590
00:32:29,160 --> 00:32:31,400
Speaker 1: the like labs where they were working on technologies, like

591
00:32:31,440 --> 00:32:33,120
Speaker 1: I want this thing to do this, and they're like

592
00:32:33,320 --> 00:32:36,120
Speaker 1: that technology doesn't exist, and he's like, fucking do it,

593
00:32:36,240 --> 00:32:40,160
Speaker 1: or I'll find somebody who will fucking make it work. Okay, Yeah,

594
00:32:42,200 --> 00:32:46,000
Speaker 1: woman is crazy, Yeah, right exactly, that's right. Yeah. So

595
00:32:46,120 --> 00:32:49,720
Speaker 1: I mean let's hold her to the same standard that

596
00:32:49,720 --> 00:32:52,920
Speaker 1: we held Steve Jobs too. And if she goes beyond that,

597
00:32:53,040 --> 00:32:55,920
Speaker 1: if she's like making it so that nobody can work,

598
00:32:56,120 --> 00:32:58,320
Speaker 1: or it's like getting in the way of her ability

599
00:32:58,360 --> 00:33:01,640
Speaker 1: to do her job or the respective job of being president,

600
00:33:01,960 --> 00:33:04,720
Speaker 1: then sure it should be brought up as a you know,

601
00:33:04,840 --> 00:33:08,360
Speaker 1: potential critique. But if it's just a thing of like, well,

602
00:33:08,400 --> 00:33:11,200
Speaker 1: I hear she's a real you know what behind the scenes,

603
00:33:11,480 --> 00:33:14,800
Speaker 1: it's like that at the if you know what I mean, Yeah,

604
00:33:14,840 --> 00:33:18,880
Speaker 1: I think we should have learned from well yeah. And

605
00:33:18,920 --> 00:33:20,440
Speaker 1: I think this is the other thing too, is she

606
00:33:20,800 --> 00:33:23,520
Speaker 1: is a formidable candidate, you know what I mean, Like

607
00:33:23,680 --> 00:33:25,880
Speaker 1: she could pull some votes in the Midwest, like she's

608
00:33:26,040 --> 00:33:28,960
Speaker 1: very popular. Um. And you know, she started off saying

609
00:33:28,960 --> 00:33:31,680
Speaker 1: she's like I might start just in Wisconsin straight up

610
00:33:31,800 --> 00:33:36,760
Speaker 1: top No, everybody was ignoring Wisconsin. Um, so you know,

611
00:33:36,920 --> 00:33:40,360
Speaker 1: I am excited. And and just the way she handled

612
00:33:40,440 --> 00:33:43,160
Speaker 1: the that fucking Brett Kavanaugh back and forth during the

613
00:33:43,160 --> 00:33:46,840
Speaker 1: confirmation when he was asking her if she gets sucked up,

614
00:33:47,200 --> 00:33:49,640
Speaker 1: and she was like, like, just did it the most

615
00:33:49,800 --> 00:33:52,680
Speaker 1: like adult way of like, yeah, she made him seem

616
00:33:52,720 --> 00:33:55,480
Speaker 1: like a child. So what are you trying to say?

617
00:33:55,520 --> 00:33:59,560
Speaker 1: My man? No, I don't black out, do you? Yeah? Ship,

618
00:34:00,960 --> 00:34:09,560
Speaker 1: I wish for real? Okay? Yeah? Is she I actually

619
00:34:09,560 --> 00:34:13,840
Speaker 1: don't know too terribly much about her politics as she

620
00:34:14,120 --> 00:34:18,640
Speaker 1: left center, what where's her? Gee, she's pretty, she's pretty progressive.

621
00:34:18,680 --> 00:34:21,000
Speaker 1: I wouldn't. She's not the most but I think she's

622
00:34:21,120 --> 00:34:23,759
Speaker 1: very you know, I don't. I don't see anything too.

623
00:34:25,440 --> 00:34:28,040
Speaker 1: It'll be interesting how people try to hit her from

624
00:34:28,040 --> 00:34:32,840
Speaker 1: the left, I'm sure. All right, let's talk about the

625
00:34:32,880 --> 00:34:36,759
Speaker 1: Green New Deal. Speaking of the left, So AOC and

626
00:34:36,920 --> 00:34:41,400
Speaker 1: Ed Markey unveiled their Green New Deal plan and it's

627
00:34:41,560 --> 00:34:45,880
Speaker 1: got some you know, really lofty Some people are saying

628
00:34:46,000 --> 00:34:50,839
Speaker 1: unrealistic goals for the next ten years. Um. But you know,

629
00:34:50,920 --> 00:34:53,400
Speaker 1: the the rollout was a bit of a mess, and

630
00:34:54,080 --> 00:34:56,440
Speaker 1: I don't know, it might have opened them up to

631
00:34:56,640 --> 00:35:01,600
Speaker 1: some criticism that might be unwarranted. Give and what is

632
00:35:01,640 --> 00:35:03,600
Speaker 1: actually in the plan right now? Yeah? Well, there are

633
00:35:03,640 --> 00:35:07,800
Speaker 1: some people who are getting really microscopic about picking it apart. Um.

634
00:35:07,840 --> 00:35:11,200
Speaker 1: I think the one criticism that I think is sound

635
00:35:11,320 --> 00:35:14,160
Speaker 1: or at least based in science, is about the fact

636
00:35:14,239 --> 00:35:17,520
Speaker 1: that the Green New Deal doesn't really address one of

637
00:35:17,560 --> 00:35:22,080
Speaker 1: the major problems for greenhouse emissions or carbon emissions is sprawl,

638
00:35:23,000 --> 00:35:26,359
Speaker 1: because like America is built so spread out. It means

639
00:35:26,360 --> 00:35:29,239
Speaker 1: a lot of people travel many miles every day to

640
00:35:29,360 --> 00:35:33,239
Speaker 1: get just to get to work. And the way that

641
00:35:33,520 --> 00:35:36,880
Speaker 1: our cities are planned, like they're only exacerbating those problems.

642
00:35:36,920 --> 00:35:38,719
Speaker 1: So even if there was you know, like the thing

643
00:35:38,719 --> 00:35:40,680
Speaker 1: about saying like, well we should get to like California

644
00:35:40,719 --> 00:35:44,560
Speaker 1: should be a hundred percent electric vehicles. Okay, that's one dimension,

645
00:35:44,920 --> 00:35:48,359
Speaker 1: but to address sprawl, uh there are a few people

646
00:35:48,360 --> 00:35:50,680
Speaker 1: who are like that would really be a way to

647
00:35:50,760 --> 00:35:52,920
Speaker 1: tackle many different things because right now, like it is

648
00:35:52,920 --> 00:35:55,000
Speaker 1: a good jobs bill, I mean that we would put

649
00:35:55,040 --> 00:35:57,479
Speaker 1: people to work, but the issues that it's really trying

650
00:35:57,480 --> 00:36:00,839
Speaker 1: to tackle, they say a lot are sort of born

651
00:36:00,920 --> 00:36:02,719
Speaker 1: out of the idea that everything is so spread apart.

652
00:36:02,760 --> 00:36:06,000
Speaker 1: So you could address the housing crisis and emissions if

653
00:36:06,040 --> 00:36:08,840
Speaker 1: you use money to create a little bit better planned

654
00:36:09,200 --> 00:36:13,560
Speaker 1: like uh more housing dense areas near job centers, because

655
00:36:13,600 --> 00:36:14,840
Speaker 1: right now a lot of people have to commune a

656
00:36:14,920 --> 00:36:17,479
Speaker 1: long time, especially if you are lower income or person

657
00:36:17,520 --> 00:36:20,719
Speaker 1: of color. You're the distance you travel for jobs. You know,

658
00:36:20,760 --> 00:36:23,360
Speaker 1: you see articles about like this man walked forty miles

659
00:36:23,360 --> 00:36:25,120
Speaker 1: a day to his job and then the guy gave

660
00:36:25,200 --> 00:36:27,440
Speaker 1: him a car, and it's like, that's exactly what we're

661
00:36:27,440 --> 00:36:30,120
Speaker 1: talking about. The people who have to that's how they survive.

662
00:36:30,719 --> 00:36:32,640
Speaker 1: Let's try and figure out a way to actually make

663
00:36:32,800 --> 00:36:36,920
Speaker 1: people's living situations less dependent on traveling those long miles. Now,

664
00:36:37,080 --> 00:36:38,640
Speaker 1: rich people are going to take care of that. They're

665
00:36:38,680 --> 00:36:40,839
Speaker 1: just gonna keep giving people cars. I think, I think

666
00:36:40,920 --> 00:36:44,239
Speaker 1: we can feel like, yeah, but electric cars now, yeah,

667
00:36:44,280 --> 00:36:47,960
Speaker 1: look at that startle cars. But that's the thing, Like

668
00:36:48,120 --> 00:36:50,960
Speaker 1: that's we're not even even if we had it right now,

669
00:36:50,960 --> 00:36:53,280
Speaker 1: Like technology isn't fully there to be like yeah, boom

670
00:36:53,280 --> 00:36:56,719
Speaker 1: electric cars, every everything, electronic electric cars right now. I mean,

671
00:36:56,920 --> 00:36:59,960
Speaker 1: so you know, this is at the very least, we're

672
00:37:00,040 --> 00:37:03,200
Speaker 1: moving in a in a direction where it is actually

673
00:37:03,239 --> 00:37:06,040
Speaker 1: trying to give guidance on how we are going to

674
00:37:06,080 --> 00:37:11,240
Speaker 1: address climate change in an actual, you know, feasible way. Um,

675
00:37:11,280 --> 00:37:13,319
Speaker 1: but this is a thing. This is it's it's it's

676
00:37:13,360 --> 00:37:16,880
Speaker 1: a living things. It's always evolving. So there's also this

677
00:37:17,120 --> 00:37:20,280
Speaker 1: f a Q that was put out by AOC's camp

678
00:37:20,320 --> 00:37:23,440
Speaker 1: but not necessarily her with her blessing on the day

679
00:37:23,440 --> 00:37:25,879
Speaker 1: of the release, that it seems to be working off

680
00:37:25,920 --> 00:37:28,960
Speaker 1: some assumptions that aren't actually in the proposal, like that

681
00:37:29,000 --> 00:37:34,359
Speaker 1: they're going to put stricter contingencies on dairy farmers and

682
00:37:34,800 --> 00:37:37,520
Speaker 1: paying people who don't want to work to work, and

683
00:37:37,800 --> 00:37:40,279
Speaker 1: commitment not to go nuclear, and so a lot of

684
00:37:40,320 --> 00:37:45,080
Speaker 1: the criticisms are about things that aren't actually in the bill.

685
00:37:45,160 --> 00:37:48,760
Speaker 1: There in this f a Q that just wasn't handled correctly.

686
00:37:48,840 --> 00:37:51,560
Speaker 1: It was put out and it's probably an earlier version

687
00:37:51,600 --> 00:37:54,920
Speaker 1: of it that doesn't actually reflect like the most up

688
00:37:54,920 --> 00:37:59,440
Speaker 1: to date version of what they were proposing, and a

689
00:37:59,480 --> 00:38:02,040
Speaker 1: lot like if you google Green New Deal, Like a

690
00:38:02,040 --> 00:38:03,799
Speaker 1: lot of the coverage in the past couple of days

691
00:38:03,840 --> 00:38:07,680
Speaker 1: has been about like why they really bungled this rollout.

692
00:38:07,760 --> 00:38:10,239
Speaker 1: It's like that horse race politics ship where they just

693
00:38:10,680 --> 00:38:15,000
Speaker 1: cover politics as if it's theater, and it's just like here,

694
00:38:15,080 --> 00:38:18,520
Speaker 1: they should have presented this better sports game. Yeah, somebody

695
00:38:18,640 --> 00:38:21,480
Speaker 1: was saying, people are trying to take the focus away

696
00:38:21,480 --> 00:38:24,880
Speaker 1: from the big picture and focus on these little typos,

697
00:38:24,920 --> 00:38:30,640
Speaker 1: And I can understand how that is frustrating. The economist

698
00:38:30,840 --> 00:38:34,839
Speaker 1: kind of gave a more thorough critique of the bill,

699
00:38:34,920 --> 00:38:39,440
Speaker 1: basically saying that it, you know, in addition to taking

700
00:38:39,480 --> 00:38:43,320
Speaker 1: on climate change, it also like throws out big goals

701
00:38:43,320 --> 00:38:48,400
Speaker 1: about you know, jobs and universal basic income, and it's

702
00:38:48,440 --> 00:38:52,200
Speaker 1: basically tear down American society and build it back up

703
00:38:52,239 --> 00:38:56,080
Speaker 1: from the ground up, is what you could interpret this

704
00:38:56,160 --> 00:38:59,520
Speaker 1: is taking. But a quote that kind of helped me

705
00:39:00,160 --> 00:39:04,560
Speaker 1: put what this would require into perspective was a guy

706
00:39:04,640 --> 00:39:09,360
Speaker 1: named Ken Caldera who's an atmospheric researcher at Carnegie Institution

707
00:39:09,400 --> 00:39:12,040
Speaker 1: for Science, and he was saying, in my own subjective assessment,

708
00:39:12,080 --> 00:39:14,719
Speaker 1: getting to near zero emissions over the next decade would

709
00:39:14,760 --> 00:39:18,520
Speaker 1: be physically possible, but socio politically infeasible. Then he said,

710
00:39:18,560 --> 00:39:21,440
Speaker 1: during World War Two, up to six of the national

711
00:39:21,520 --> 00:39:24,520
Speaker 1: GDP was directed toward the war effort. If we were

712
00:39:24,560 --> 00:39:27,840
Speaker 1: to mobilize around the climate problem the way we mobilized

713
00:39:27,880 --> 00:39:30,239
Speaker 1: around the fight against Germany and Japan, then we could

714
00:39:30,280 --> 00:39:34,279
Speaker 1: possibly do this. So like, how about this, Uh, this

715
00:39:34,360 --> 00:39:38,600
Speaker 1: is a way greater threat to Germany. Yeah, exactly, But

716
00:39:38,719 --> 00:39:41,880
Speaker 1: that's the sort of change that you would need to see,

717
00:39:41,960 --> 00:39:44,520
Speaker 1: and a lot of it. There was an article in Slate, uh,

718
00:39:44,560 --> 00:39:46,239
Speaker 1: just sort of pointing to the fact that there's like

719
00:39:46,280 --> 00:39:49,319
Speaker 1: this Berkeley bart station where they built up like the

720
00:39:49,360 --> 00:39:53,120
Speaker 1: parking garages, like you know, next level environmentally friendly with

721
00:39:53,360 --> 00:39:56,360
Speaker 1: like you know, has like rainwater capture and water treatment

722
00:39:56,400 --> 00:40:00,360
Speaker 1: features and rooftop solar and the thing costs like nearly

723
00:40:00,400 --> 00:40:03,640
Speaker 1: forty million dollars to build, and they're sort of pointing

724
00:40:03,640 --> 00:40:05,920
Speaker 1: to this is like this is the kind of solution

725
00:40:05,960 --> 00:40:08,320
Speaker 1: people just do, is like, well, let's just pour money

726
00:40:08,320 --> 00:40:11,720
Speaker 1: into this thing to make that better, when they're actually

727
00:40:11,760 --> 00:40:14,560
Speaker 1: like fundamentally greater issues and it's not that the parking

728
00:40:14,640 --> 00:40:17,600
Speaker 1: structure needs to be more environmentally friendly, like we have

729
00:40:17,719 --> 00:40:19,759
Speaker 1: to rethink the way this ship is even laid out.

730
00:40:20,480 --> 00:40:22,600
Speaker 1: Here's something dairy farmers can do. We just got to

731
00:40:22,640 --> 00:40:24,719
Speaker 1: get like a bunch of corks and plug up those

732
00:40:24,760 --> 00:40:29,040
Speaker 1: cow butts because it's cow farts right ruining and from

733
00:40:29,040 --> 00:40:31,400
Speaker 1: the cow farts. Just like Ali g said when he

734
00:40:31,440 --> 00:40:35,359
Speaker 1: interviewed Ralph Nader that one time, he's like, I think

735
00:40:35,360 --> 00:40:37,279
Speaker 1: he posed the question to Ralph Nader about was like,

736
00:40:37,320 --> 00:40:39,080
Speaker 1: well what about these cows, and he's like, well, I

737
00:40:39,120 --> 00:40:41,760
Speaker 1: don't know how you could solve that unless you hooked

738
00:40:41,760 --> 00:40:45,360
Speaker 1: a box up to a cow's asshole, like so deadpanned

739
00:40:45,400 --> 00:40:49,040
Speaker 1: when he said it's a great moment. Yeah, yeah, it's

740
00:40:49,080 --> 00:40:51,640
Speaker 1: at least interesting. Some people are pointing to it as

741
00:40:51,800 --> 00:40:55,759
Speaker 1: like maybe being a Overton window mover, like changing the

742
00:40:55,800 --> 00:40:59,000
Speaker 1: conversation at least so that people are now thinking about

743
00:40:59,440 --> 00:41:04,120
Speaker 1: the problem climate change in terms of changing the entire

744
00:41:04,200 --> 00:41:08,680
Speaker 1: system rather than building a bunch of parking structures. So

745
00:41:08,800 --> 00:41:11,000
Speaker 1: from that perspective, it could be seen as a win

746
00:41:11,239 --> 00:41:13,480
Speaker 1: for the left. And I think, you know, at the

747
00:41:13,520 --> 00:41:15,719
Speaker 1: end of the day, just don't get so myopic and

748
00:41:15,760 --> 00:41:17,840
Speaker 1: how you're looking at this thing right now, Like literally,

749
00:41:17,840 --> 00:41:19,680
Speaker 1: this is like one of the first real kind of

750
00:41:19,719 --> 00:41:21,880
Speaker 1: plans to be like, hey, this is a problem. What

751
00:41:21,920 --> 00:41:23,600
Speaker 1: can we do to fucking even try and look at

752
00:41:23,640 --> 00:41:25,920
Speaker 1: this and see what like fix this? Yeah, And I

753
00:41:25,920 --> 00:41:29,759
Speaker 1: mean the economists piece that was critical of it was

754
00:41:29,800 --> 00:41:33,480
Speaker 1: saying that you know, there's still a chance for it

755
00:41:33,560 --> 00:41:37,880
Speaker 1: to you know, succeed, but that they think it should

756
00:41:37,920 --> 00:41:42,160
Speaker 1: focus on climate change exclusively and not like put in

757
00:41:42,200 --> 00:41:44,960
Speaker 1: all this stuff about universal basic in kind of cree

758
00:41:45,040 --> 00:41:49,360
Speaker 1: new deal. Right, So, yeah, we'll see how it evolves,

759
00:41:49,360 --> 00:41:52,160
Speaker 1: will be keeping an eye on it, but most presidential

760
00:41:52,239 --> 00:41:56,200
Speaker 1: candidates for the Democratic nomination have come out in support

761
00:41:56,239 --> 00:41:58,680
Speaker 1: of it. So it is going to be a you know,

762
00:41:58,840 --> 00:42:01,880
Speaker 1: it's not a non factor, regardless of what people are

763
00:42:01,920 --> 00:42:03,919
Speaker 1: saying at the moment. Yeah, and then when you read

764
00:42:03,920 --> 00:42:05,680
Speaker 1: that study that came out about the I don't know

765
00:42:05,680 --> 00:42:07,319
Speaker 1: if one is to do with the other, but all

766
00:42:07,360 --> 00:42:11,719
Speaker 1: the insect decline, like the insect population is there's more

767
00:42:11,760 --> 00:42:15,560
Speaker 1: than just the beach. Yes, what else? Like all insects,

768
00:42:15,640 --> 00:42:18,800
Speaker 1: they're like decreasing every year. I hate bugs, but I

769
00:42:18,840 --> 00:42:22,120
Speaker 1: know they're important. Well, they say within a century most

770
00:42:22,120 --> 00:42:26,520
Speaker 1: insects could die off and that would be cataclysmic. So

771
00:42:26,800 --> 00:42:30,560
Speaker 1: it's not like we got a lot of problems. Yeah,

772
00:42:30,719 --> 00:42:32,920
Speaker 1: I wonder how much of it is A house flies

773
00:42:32,960 --> 00:42:38,200
Speaker 1: around my house, those things up with your electric racket. Yeah, alright, guys,

774
00:42:38,280 --> 00:42:40,080
Speaker 1: we're gonna take a quick break. We'll be right back

775
00:42:50,320 --> 00:42:58,200
Speaker 1: and we're back. And warning, guys, Valentine's Day is coming up, fellas,

776
00:42:58,320 --> 00:43:06,960
Speaker 1: don't forget it's on Thursday. Well I don't know. Yeah, warning, uh,

777
00:43:07,600 --> 00:43:09,799
Speaker 1: morning zoos. You could have leaned into that a little

778
00:43:09,800 --> 00:43:11,480
Speaker 1: bit harder. Well, it looks like you didn't want to

779
00:43:11,480 --> 00:43:17,720
Speaker 1: do it. You don't want to do the fully problematic version. Yeah,

780
00:43:17,840 --> 00:43:22,480
Speaker 1: your instincts were right, Okay, Uh, well, so we wanted

781
00:43:22,520 --> 00:43:26,120
Speaker 1: to just take a look at the state of Valentine's

782
00:43:26,200 --> 00:43:30,680
Speaker 1: Day in America. Right, first off, let's take a poll.

783
00:43:31,360 --> 00:43:35,880
Speaker 1: Valentine's Day. Do we all celebrate it? Uh? Yeah? Is

784
00:43:35,880 --> 00:43:38,919
Speaker 1: it a thing that you go Is Valentine's Day time

785
00:43:38,960 --> 00:43:43,080
Speaker 1: to do something not really not particular right now? Yes,

786
00:43:43,480 --> 00:43:46,759
Speaker 1: but it's not. It's not It's like, um, just a

787
00:43:46,840 --> 00:43:49,000
Speaker 1: day for all kinds of love. This is what I

788
00:43:49,000 --> 00:43:50,920
Speaker 1: would say in high school. I was like, it's fine.

789
00:43:50,960 --> 00:43:52,520
Speaker 1: You can just tell your friends you love them, tell

790
00:43:52,560 --> 00:43:55,080
Speaker 1: your parents you love them. All that. That's fine. Everybody

791
00:43:55,080 --> 00:43:57,360
Speaker 1: gets too hung up. I'm like, I'm so lonely for

792
00:43:57,560 --> 00:44:01,520
Speaker 1: Valentine's Day, right, yeah, the yeah, broaden it. Don't do

793
00:44:01,680 --> 00:44:04,719
Speaker 1: romantic love, just go up all of Like my mom

794
00:44:04,719 --> 00:44:07,640
Speaker 1: would always get me a present on Valentine's It might

795
00:44:07,719 --> 00:44:11,680
Speaker 1: be weird because yeah, my mom's like Downtine's Day, here's

796
00:44:11,680 --> 00:44:16,680
Speaker 1: your present. Okay, this is what is your mom? From Iran? Yeah? Yeah,

797
00:44:17,719 --> 00:44:20,360
Speaker 1: and they with like these because my mom's and Japan.

798
00:44:20,520 --> 00:44:24,080
Speaker 1: She's like, yeah, here, I think my mom just likes

799
00:44:24,120 --> 00:44:26,080
Speaker 1: the holiday. She likes to go to like home goods

800
00:44:26,120 --> 00:44:28,720
Speaker 1: and find like one thing to get for any reason,

801
00:44:29,600 --> 00:44:32,920
Speaker 1: excuse to go to Michael's. Yeah, how hard do you

802
00:44:32,960 --> 00:44:37,080
Speaker 1: go on Valentine's Day? Jack? Not very I have gone.

803
00:44:37,360 --> 00:44:40,399
Speaker 1: It really depends on where we're at and how big

804
00:44:40,520 --> 00:44:43,200
Speaker 1: you are, because I have two kids right now, we

805
00:44:43,200 --> 00:44:45,399
Speaker 1: have two kids, and we've been married ten years coming

806
00:44:45,480 --> 00:44:47,839
Speaker 1: up on elevens. What was like the first five years

807
00:44:47,840 --> 00:44:52,200
Speaker 1: of marriage? Like, there some gifts and some Lexus is

808
00:44:52,239 --> 00:44:54,799
Speaker 1: with a ribbon on the exactly always Alexis with a

809
00:44:54,840 --> 00:44:57,120
Speaker 1: ribbon on the hood, five in a row. And but

810
00:44:57,160 --> 00:44:59,200
Speaker 1: you just pay somebody with Alexus to pull up put

811
00:44:59,200 --> 00:45:01,080
Speaker 1: a thing on the hood. That's and that's what I

812
00:45:01,080 --> 00:45:03,080
Speaker 1: would give you if I was doing better. Okay, see

813
00:45:03,120 --> 00:45:07,720
Speaker 1: later day and what about you do you do Valentine's Day? Okay?

814
00:45:07,760 --> 00:45:10,359
Speaker 1: That was a shrug. Yeah, I'm I get it when

815
00:45:10,400 --> 00:45:13,000
Speaker 1: I've had when I've been in relationships, I understand, like,

816
00:45:13,040 --> 00:45:15,239
Speaker 1: you know, the time to do a little something. But

817
00:45:15,320 --> 00:45:18,360
Speaker 1: I'm like not very much a holiday person in general,

818
00:45:18,719 --> 00:45:21,160
Speaker 1: So I'm kind of like what I need that day

819
00:45:21,160 --> 00:45:24,000
Speaker 1: to show you? I rub your feet every day when

820
00:45:24,000 --> 00:45:26,600
Speaker 1: I crack your back every time you get home from work. Yeah.

821
00:45:26,960 --> 00:45:30,040
Speaker 1: One thing we have meancifically decided, like a sexual way,

822
00:45:30,080 --> 00:45:33,880
Speaker 1: like somebody's back. Okay. One thing we have specifically decided

823
00:45:33,880 --> 00:45:36,239
Speaker 1: as a couple is that going out to dinner on

824
00:45:36,320 --> 00:45:40,399
Speaker 1: Valentine's Day is usually not worth it because it's so

825
00:45:40,480 --> 00:45:44,799
Speaker 1: hard to get reservations and then you remember that night

826
00:45:45,640 --> 00:45:49,120
Speaker 1: and services like twenty times worse. Like we because we

827
00:45:49,280 --> 00:45:52,600
Speaker 1: figured this out after going like going out on Valentine's Day,

828
00:45:52,640 --> 00:45:55,399
Speaker 1: like the first six years we were together, and now

829
00:45:55,400 --> 00:45:59,480
Speaker 1: it's just like we've had enough bed. Yeah, the services

830
00:45:59,520 --> 00:46:02,399
Speaker 1: too thin. In the kitchen staff is too thin, and

831
00:46:02,760 --> 00:46:04,759
Speaker 1: it just seems like it's, well, that's why I go

832
00:46:04,800 --> 00:46:07,440
Speaker 1: to fast foods, baby, you know what I mean, pick up.

833
00:46:07,440 --> 00:46:09,440
Speaker 1: We'll pick up a hot and ready pizza at Little Caesars,

834
00:46:09,640 --> 00:46:13,160
Speaker 1: or cook a meal with blue apron. Then they don't spot.

835
00:46:14,320 --> 00:46:16,560
Speaker 1: Uh So, what's where are we at? What's the state

836
00:46:16,600 --> 00:46:22,080
Speaker 1: of Valentine's Day now? Uh So people are celebrating it

837
00:46:22,160 --> 00:46:26,839
Speaker 1: less and less, but they're celebrating it more expensively. Apparently,

838
00:46:27,480 --> 00:46:30,360
Speaker 1: between two thousand nine and two thousand nineteen, the amount

839
00:46:30,400 --> 00:46:33,800
Speaker 1: that consumers planned to spend on Valentine's Day gifts increased

840
00:46:33,800 --> 00:46:38,480
Speaker 1: by sixty dollars, which is far more than inflation. But

841
00:46:38,880 --> 00:46:42,480
Speaker 1: the percent of the population in the United States that

842
00:46:42,840 --> 00:46:46,320
Speaker 1: we're planning to celebrate Valentine's Day went from six to

843
00:46:46,480 --> 00:46:50,239
Speaker 1: fifty percent. So I wonder if it's just I think

844
00:46:50,239 --> 00:46:53,160
Speaker 1: it's I think it's millennials. No, but I think but

845
00:46:53,280 --> 00:46:57,000
Speaker 1: the more extravagant ship is because you can flex on people,

846
00:46:57,000 --> 00:46:58,719
Speaker 1: whether they'll be like, look at how I set the

847
00:47:00,080 --> 00:47:02,840
Speaker 1: get where we went on a helicopter rise or whatever.

848
00:47:03,080 --> 00:47:05,160
Speaker 1: I think that it must have something to do if

849
00:47:05,200 --> 00:47:07,680
Speaker 1: there's like the spending is going up, because why I

850
00:47:07,680 --> 00:47:10,160
Speaker 1: get more extravagant. It's not that it's become more important.

851
00:47:10,560 --> 00:47:13,279
Speaker 1: It's just more like, oh, if the prices have gone up,

852
00:47:13,280 --> 00:47:17,680
Speaker 1: that means the stunt has gone up, right, So and

853
00:47:17,960 --> 00:47:20,480
Speaker 1: it would makes sense that there's ten percent of people

854
00:47:20,520 --> 00:47:23,279
Speaker 1: who are like yeah, when when you see what those

855
00:47:23,280 --> 00:47:25,919
Speaker 1: other people are doing for Valentine's Day, it's not worth

856
00:47:25,920 --> 00:47:30,759
Speaker 1: it even like way too much. Uh. There's also a

857
00:47:31,239 --> 00:47:35,680
Speaker 1: online resource I think it's called the Internet or satellite

858
00:47:35,719 --> 00:47:40,000
Speaker 1: Satellite Internet released a map illustrating each state's top Google

859
00:47:40,040 --> 00:47:43,759
Speaker 1: searches on Valentine's Day in the past, couple of Valentine's

860
00:47:43,800 --> 00:47:49,560
Speaker 1: Days and the results are weird. Um yeah, like California,

861
00:47:49,840 --> 00:47:53,120
Speaker 1: we out here, we just search friendship day. Yeah, okay,

862
00:47:53,160 --> 00:47:56,680
Speaker 1: that makes sense to me. Like that, Let's see Nevada

863
00:47:56,800 --> 00:48:01,200
Speaker 1: Brazilian blowout because you want your hair? Can I guess babe? Okay,

864
00:48:01,200 --> 00:48:04,840
Speaker 1: a lot of people want that Brazilian blo, Texas Dirty

865
00:48:04,960 --> 00:48:12,279
Speaker 1: Valentine's Poems Texas or Mississippi quote about love Louisiana has

866
00:48:12,320 --> 00:48:17,120
Speaker 1: to be my favorite because it's Hooters. Yeah, very funny?

867
00:48:17,239 --> 00:48:21,080
Speaker 1: Is that? Also Illinois? To think Illinois's as Hooters? Illinois

868
00:48:21,120 --> 00:48:24,839
Speaker 1: also has Hooters. Okay, I'm trying to see that. Who

869
00:48:24,840 --> 00:48:30,040
Speaker 1: has Oh what about venereal disease in Arizona? Arizona and

870
00:48:30,280 --> 00:48:36,120
Speaker 1: Tennessee have venereal disease? The fun that's so I'm trying

871
00:48:36,160 --> 00:48:38,200
Speaker 1: to think of how what the reality is of a

872
00:48:38,280 --> 00:48:43,080
Speaker 1: person whereas Valentine's Day and you're googling venereal disease, especially

873
00:48:43,120 --> 00:48:48,400
Speaker 1: that phrase unless they lumped all venereal diseases under that category.

874
00:48:49,400 --> 00:48:55,239
Speaker 1: For who would go out to google that? Friend? My

875
00:48:55,360 --> 00:48:58,920
Speaker 1: significant other just told me that they have a disease.

876
00:48:59,200 --> 00:49:02,320
Speaker 1: Also to all my Kansen's. Is that? What is that

877
00:49:02,360 --> 00:49:06,479
Speaker 1: what people from Kansas are called? Yes, Kansens, My heart

878
00:49:06,480 --> 00:49:08,560
Speaker 1: goes out to you because the top sarge in Kansas

879
00:49:08,680 --> 00:49:12,160
Speaker 1: is broken heart syndrome. What is broken hearts? Is that

880
00:49:12,200 --> 00:49:14,960
Speaker 1: a real thing? Yeah? People have died of broken hearts? Yes,

881
00:49:15,600 --> 00:49:21,279
Speaker 1: what becomes of the broken heart? I just told to

882
00:49:21,600 --> 00:49:25,400
Speaker 1: Kansas where they farted? See, and that's how you made

883
00:49:25,560 --> 00:49:29,120
Speaker 1: songs on the go? And also like what is his

884
00:49:29,239 --> 00:49:33,279
Speaker 1: Idaho pick bumble? Yeah? Okay, just you know, trying to

885
00:49:33,320 --> 00:49:37,360
Speaker 1: get Rhode Island got steak in b J day? Wait,

886
00:49:37,400 --> 00:49:40,319
Speaker 1: that's a day a day steak in b J Yeah.

887
00:49:42,000 --> 00:49:44,440
Speaker 1: I wonder if that was that day was created with

888
00:49:44,520 --> 00:49:47,320
Speaker 1: men or women in mind? No, it was, I know exactly.

889
00:49:47,360 --> 00:49:50,280
Speaker 1: It was made by like a San Diego radio DJ,

890
00:49:50,520 --> 00:49:53,120
Speaker 1: of course. And it's like, what about for the guys

891
00:49:53,880 --> 00:49:56,880
Speaker 1: steak in b J D. You know you're here with

892
00:49:57,000 --> 00:50:02,840
Speaker 1: toxic with the community Men's day? Ay? What about White

893
00:50:02,920 --> 00:50:05,200
Speaker 1: History Month? Think that? I think he was the first

894
00:50:05,200 --> 00:50:09,560
Speaker 1: guy to say that they got well. And also Texas

895
00:50:09,680 --> 00:50:12,600
Speaker 1: Roadhouse pops up a lot in different states. What is

896
00:50:12,600 --> 00:50:15,239
Speaker 1: Texas Roadhouse? I think it's a steakhouse and is it

897
00:50:15,320 --> 00:50:17,680
Speaker 1: a is it a classy place? Because out Back is

898
00:50:17,719 --> 00:50:23,239
Speaker 1: also another big out back out back level chain steak restaurant.

899
00:50:23,280 --> 00:50:29,040
Speaker 1: It's like a nice ish play to find place to

900
00:50:29,040 --> 00:50:32,319
Speaker 1: take a date. Okay, well I guess too. Yeah, if

901
00:50:32,360 --> 00:50:34,680
Speaker 1: you're in a in a state where like all your

902
00:50:35,000 --> 00:50:37,440
Speaker 1: restaurants are like clustered around like those big sort of

903
00:50:37,480 --> 00:50:40,880
Speaker 1: commercial shopping centers, you're going to get things like Outbacks

904
00:50:41,440 --> 00:50:48,520
Speaker 1: or Texas Roadhouse or Red Lobster or in Maine the Bachelor. Yeah,

905
00:50:48,560 --> 00:50:51,520
Speaker 1: what's happening up in them? Also Hawaii? This is so funny.

906
00:50:51,600 --> 00:50:57,359
Speaker 1: There's is seafood near me? What a fucking iron? Everywhere?

907
00:50:58,000 --> 00:51:02,160
Speaker 1: Where does one fine seafood? Ah? Man, where do I go?

908
00:51:02,239 --> 00:51:05,239
Speaker 1: Where do I look to find this mythical seafood? Yeah?

909
00:51:05,360 --> 00:51:08,560
Speaker 1: Everma keeps it real. They searched Ben and Jerry's. Yeah.

910
00:51:08,680 --> 00:51:13,120
Speaker 1: There's also a trend of zoos that have like they're

911
00:51:13,200 --> 00:51:18,000
Speaker 1: they're a handful of different places that do like revenge

912
00:51:18,600 --> 00:51:21,839
Speaker 1: spite celebrations. Oh, there's so many more of those. That's

913
00:51:21,880 --> 00:51:23,600
Speaker 1: what I thought you said. You were going to say,

914
00:51:23,640 --> 00:51:28,680
Speaker 1: are up now? Anti Valentine's right, So there's at various zoos.

915
00:51:28,719 --> 00:51:31,640
Speaker 1: You can name a cockroach after your ex and then

916
00:51:31,680 --> 00:51:35,480
Speaker 1: watch it be eaten by a mere cat. Fantastic. Yeah,

917
00:51:35,920 --> 00:51:38,560
Speaker 1: there's a similar thing. You can name a venomous snake

918
00:51:38,680 --> 00:51:43,719
Speaker 1: after your ex. Can you name and then worry? Dramatic?

919
00:51:44,400 --> 00:51:47,080
Speaker 1: Just I don't know, see them in the snake? Yeah,

920
00:51:47,440 --> 00:51:52,520
Speaker 1: I'm like, yeah, hold that one, Tiffany, your fucking snake.

921
00:51:52,960 --> 00:51:56,320
Speaker 1: But then I guess you can post it on the website.

922
00:51:57,200 --> 00:51:59,280
Speaker 1: So there's like some part of you that can believe

923
00:51:59,360 --> 00:52:02,360
Speaker 1: that you're X went. There is that do it to you?

924
00:52:02,600 --> 00:52:05,760
Speaker 1: Is that the millennial thing is that what we're starting

925
00:52:05,800 --> 00:52:07,600
Speaker 1: to do is work, you know what I mean? Like,

926
00:52:07,640 --> 00:52:09,520
Speaker 1: maybe the spending is going up, but are we also

927
00:52:09,600 --> 00:52:13,480
Speaker 1: now hand in hand introducing like just spite based Valentine's

928
00:52:13,520 --> 00:52:17,040
Speaker 1: Day celebrations? Right, Well, millennials are getting married at a

929
00:52:17,080 --> 00:52:22,000
Speaker 1: far lower rate because they're irresponsible, because they're broke, right, Sure,

930
00:52:22,280 --> 00:52:25,839
Speaker 1: it's because they're broke or a fraid of commitment. Yeah,

931
00:52:25,840 --> 00:52:27,960
Speaker 1: they just don't care. I don't know. Yeah, we're not

932
00:52:28,000 --> 00:52:31,319
Speaker 1: pushing marriage anymore. We pushing still, No one's pushing. It's

933
00:52:31,400 --> 00:52:33,560
Speaker 1: up to you. I think that's the thing is you

934
00:52:33,600 --> 00:52:36,160
Speaker 1: just see people because man, I know so many people

935
00:52:36,200 --> 00:52:38,520
Speaker 1: who have parents who have been like, don't get married young,

936
00:52:38,680 --> 00:52:42,000
Speaker 1: that's what. Don't get married young? Like when are you

937
00:52:42,080 --> 00:52:46,360
Speaker 1: going to get married and trying to enjoy it? Yeah? Right.

938
00:52:46,920 --> 00:52:51,680
Speaker 1: There's Chick fil a is selling heart shaped chicken nuggets,

939
00:52:51,880 --> 00:52:53,400
Speaker 1: so I was afraid you were going to say that.

940
00:52:53,600 --> 00:52:58,319
Speaker 1: And KFC is offering a Valentine's contest to win a

941
00:52:58,440 --> 00:53:02,239
Speaker 1: Klonel skin rug, which is a bear skin rug, but

942
00:53:02,480 --> 00:53:06,720
Speaker 1: with the sprawled out corpse of Colonel Sanders like his hands.

943
00:53:07,040 --> 00:53:11,200
Speaker 1: I don't understanding. I don't know you're I'm looking at it. Okay, Yeah,

944
00:53:11,440 --> 00:53:17,640
Speaker 1: it doesn't make any more sense now that I've seen it. Also,

945
00:53:17,680 --> 00:53:20,520
Speaker 1: the way they have this like sexy couple and their

946
00:53:20,960 --> 00:53:25,440
Speaker 1: silk night gowns even on it. It's just the like

947
00:53:25,600 --> 00:53:31,320
Speaker 1: old spice, like weird humorification of all brands. Also, you know,

948
00:53:31,320 --> 00:53:34,360
Speaker 1: shout out to all gardens. They have the breadstick bouquet, yes,

949
00:53:35,000 --> 00:53:37,480
Speaker 1: which I don't know how do you need that or

950
00:53:37,520 --> 00:53:41,719
Speaker 1: want that? Come on, man, there's heart shaped pizzas to right,

951
00:53:41,800 --> 00:53:47,200
Speaker 1: people do the heart shape pizzas. Papa John's heart shape pizza.

952
00:53:48,000 --> 00:53:50,920
Speaker 1: You used to put anymore broken heart shape pizzas. Now

953
00:53:51,640 --> 00:53:54,480
Speaker 1: it's all it's all about broken hearts. Now, are you

954
00:53:54,520 --> 00:53:56,800
Speaker 1: gonna do anything for Valentine's say, this year? I don't

955
00:53:56,880 --> 00:54:00,399
Speaker 1: think so. I'm gonna make I'm gonna make a meal,

956
00:54:00,800 --> 00:54:03,280
Speaker 1: That's what I was trying to say. I told her, Majesty,

957
00:54:03,400 --> 00:54:05,640
Speaker 1: I said I'll cook there you go, And she's like,

958
00:54:05,640 --> 00:54:08,440
Speaker 1: I want to go out. I tell her how crowded

959
00:54:08,440 --> 00:54:10,440
Speaker 1: it'll be. That's what I'm saying. I'm like, yo, I

960
00:54:10,480 --> 00:54:12,480
Speaker 1: could do the butter post lobster tail, you know what

961
00:54:12,480 --> 00:54:14,919
Speaker 1: I mean that? Yeah, or langostino because I'm not gonna

962
00:54:14,920 --> 00:54:19,719
Speaker 1: tell the difference. It's just cheaper from the Caribbean. But yeah,

963
00:54:19,760 --> 00:54:21,680
Speaker 1: I just feel like, you know, I think cooking is

964
00:54:21,719 --> 00:54:23,239
Speaker 1: I think, if anything, it should just be about a

965
00:54:23,280 --> 00:54:25,800
Speaker 1: gesture of love. Doesn't to be spending, you know what

966
00:54:25,840 --> 00:54:29,279
Speaker 1: I mean? Because my love language is acts of service, right,

967
00:54:29,400 --> 00:54:32,320
Speaker 1: you know what I mean? And my wife's love language

968
00:54:32,480 --> 00:54:38,240
Speaker 1: is being prepared months in advance. So yeah, I am

969
00:54:38,239 --> 00:54:41,719
Speaker 1: not great at That's why you have a Valentine's Day

970
00:54:41,719 --> 00:54:46,200
Speaker 1: countdown tattoo der hand. Yeah, it is getting out of control.

971
00:54:47,360 --> 00:54:51,239
Speaker 1: Uh well how about you? Are you uh come here?

972
00:54:51,280 --> 00:54:54,839
Speaker 1: You planning on doing anything? Uh? Not a thing? That's

973
00:54:54,880 --> 00:54:57,680
Speaker 1: like specifically for Valentine's. It's just a Valentine's happen to

974
00:54:57,719 --> 00:54:59,719
Speaker 1: be on a Thursday that I'm free and I've been

975
00:54:59,719 --> 00:55:01,719
Speaker 1: wanting to go to nerd Night. You guys heard about this,

976
00:55:02,200 --> 00:55:04,680
Speaker 1: just like nerd Knight is a thing. Um. I think

977
00:55:04,680 --> 00:55:07,320
Speaker 1: it's at Buzzbyes East. It's like a bar where do

978
00:55:07,360 --> 00:55:10,600
Speaker 1: they just get like people who are experts to volunteer

979
00:55:10,600 --> 00:55:13,120
Speaker 1: and do like a lecture. It's basically school inside of

980
00:55:13,160 --> 00:55:16,799
Speaker 1: a bar. And I love school. Um. So they go

981
00:55:16,960 --> 00:55:21,120
Speaker 1: do like a presentation on three different topics and it

982
00:55:21,120 --> 00:55:23,160
Speaker 1: could be just about anything, and they have like uh

983
00:55:23,280 --> 00:55:26,200
Speaker 1: since down type days. Thursday, they're doing like the Valentine

984
00:55:26,239 --> 00:55:29,080
Speaker 1: love related topics. It's about like ken machines love. It's

985
00:55:29,160 --> 00:55:31,040
Speaker 1: like one of them, and another one is search for

986
00:55:31,120 --> 00:55:33,880
Speaker 1: signs of intelligent life partners and the yeah, and then

987
00:55:33,920 --> 00:55:36,680
Speaker 1: the last one is about I think about consent. It's

988
00:55:36,719 --> 00:55:39,480
Speaker 1: about like erotic touch and if I want to hear

989
00:55:39,480 --> 00:55:44,240
Speaker 1: about that one touch me once? No, not there, yeah, yes,

990
00:55:44,520 --> 00:55:46,319
Speaker 1: it's an erotic touch is a very unique form of

991
00:55:46,320 --> 00:55:48,879
Speaker 1: introversonal touch. They can lead to feelings of disgust when

992
00:55:48,880 --> 00:55:52,000
Speaker 1: the timing or context is inappropriate. Good Yeah, to put

993
00:55:52,000 --> 00:55:55,200
Speaker 1: people on the game who need this knowledge. Sure, but yeah,

994
00:55:55,200 --> 00:55:58,480
Speaker 1: that's we're going to night night. That's an easy one. Yeah,

995
00:55:58,600 --> 00:56:01,040
Speaker 1: what is the first one? Is it going to just

996
00:56:01,080 --> 00:56:03,520
Speaker 1: be like those Super Bowl commercials where they're like Ken

997
00:56:03,560 --> 00:56:08,000
Speaker 1: machines love It's the summary says, what's so special about

998
00:56:08,080 --> 00:56:10,000
Speaker 1: love that a machine couldn't do it? What are the

999
00:56:10,040 --> 00:56:12,720
Speaker 1: limits of artificial intelligence that might keep it from crossing

1000
00:56:12,719 --> 00:56:17,759
Speaker 1: this emotional threshold or keep us from knowing whether it has? Oh,

1001
00:56:17,800 --> 00:56:19,759
Speaker 1: this is going to be taught by a robot, so

1002
00:56:19,880 --> 00:56:22,200
Speaker 1: be prepared for that. Would that be a future we want?

1003
00:56:22,239 --> 00:56:24,160
Speaker 1: With any luck, this top will leave you with more

1004
00:56:24,200 --> 00:56:29,000
Speaker 1: provocative questions than it answers. Yeah, then that's not very informative. No,

1005
00:56:29,960 --> 00:56:32,680
Speaker 1: we'll probably spiral afterwards, and I don't want to touch

1006
00:56:32,760 --> 00:56:35,520
Speaker 1: my phone anymore. The expert is someone who works as

1007
00:56:35,560 --> 00:56:38,759
Speaker 1: a software developer and part time computer science teacher. Part

1008
00:56:38,800 --> 00:56:41,600
Speaker 1: time part time computer science teacher. It sounds like someone

1009
00:56:41,600 --> 00:56:44,560
Speaker 1: who posts to read it a lot. I have a

1010
00:56:44,560 --> 00:56:47,560
Speaker 1: part time computer, that's right. Yeah, Well, Kimmy, it's been

1011
00:56:47,600 --> 00:56:51,160
Speaker 1: a pleasure having you. Where can people find you? You

1012
00:56:51,160 --> 00:56:54,200
Speaker 1: can follow me on Instagram at child clown or Twitter.

1013
00:56:54,360 --> 00:56:59,360
Speaker 1: At child clown underscore because some other freak clown child

1014
00:56:59,400 --> 00:57:02,759
Speaker 1: clown then end with underscore. Yeah, who's the person who's

1015
00:57:02,760 --> 00:57:05,400
Speaker 1: squatting on their O G N I. I is someone

1016
00:57:05,520 --> 00:57:08,680
Speaker 1: named like Chris or Clark something. They have like one

1017
00:57:08,719 --> 00:57:10,759
Speaker 1: follower and their photot stole picture of an egg and

1018
00:57:10,840 --> 00:57:15,439
Speaker 1: like many tweets, see those are nothing. Man. When people

1019
00:57:15,480 --> 00:57:17,560
Speaker 1: have like just the idea like that's a good Twitter

1020
00:57:17,640 --> 00:57:19,520
Speaker 1: name and then they just do it and then they

1021
00:57:19,520 --> 00:57:22,680
Speaker 1: don't use it, you should be able to that's your brand.

1022
00:57:22,720 --> 00:57:26,640
Speaker 1: We gotta talk at jack something and you're named that

1023
00:57:26,760 --> 00:57:28,960
Speaker 1: because you're a birthday party clown right, Yeah, I'm a

1024
00:57:28,960 --> 00:57:32,640
Speaker 1: birthday party you got me? And wait, why are your

1025
00:57:32,680 --> 00:57:35,800
Speaker 1: child clown? Oh it's kind of stupid. I had this

1026
00:57:38,400 --> 00:57:41,760
Speaker 1: stupid it's it's stupid. You know how everybody had like

1027
00:57:41,800 --> 00:57:44,240
Speaker 1: blogs in middle school in high school, well we all

1028
00:57:44,280 --> 00:57:45,800
Speaker 1: had blocks. I had a blog and it was called

1029
00:57:45,960 --> 00:57:48,920
Speaker 1: four year old Teenager, which is so stupid. But my

1030
00:57:49,000 --> 00:57:51,640
Speaker 1: friend was like talking about my blog one and she's like, oh, yeah,

1031
00:57:51,640 --> 00:57:54,120
Speaker 1: you have that blog, right, child clown something? And I

1032
00:57:54,200 --> 00:57:59,160
Speaker 1: was like no, but now that's forever misunderstanding. Yeah yeah, yeah, yeah,

1033
00:57:59,680 --> 00:58:02,240
Speaker 1: because I'll take it. I'll take it. Is there a

1034
00:58:02,240 --> 00:58:06,880
Speaker 1: tweet you've been enjoying or a post on Instagram? Oh?

1035
00:58:06,920 --> 00:58:09,320
Speaker 1: I saw a bird this morning that was very cool.

1036
00:58:10,000 --> 00:58:13,120
Speaker 1: It's got a big mohawk. It's a bird with a

1037
00:58:13,280 --> 00:58:15,960
Speaker 1: black mohawk. Okay, give us more, give us more, and

1038
00:58:16,320 --> 00:58:18,800
Speaker 1: that's about it. You gotta find this bird. Is it

1039
00:58:18,840 --> 00:58:21,120
Speaker 1: eating a piece of bread? What's it doing? No, it's

1040
00:58:21,200 --> 00:58:27,440
Speaker 1: just looking. It's just side profile a bird, sort of

1041
00:58:27,440 --> 00:58:29,640
Speaker 1: like an Elvis bird. And what account is that? This

1042
00:58:29,720 --> 00:58:37,400
Speaker 1: is nuts about birds? Nuts? Yeah? Yeah, yeah, that's what's

1043
00:58:37,440 --> 00:58:41,040
Speaker 1: doing it for me today. Miles, where can people find? You?

1044
00:58:41,200 --> 00:58:45,800
Speaker 1: Find me on Twitter? Let's see where else? Instagram at

1045
00:58:46,040 --> 00:58:51,160
Speaker 1: Miles of Gray Jerry why uh? In a tweet? I like, uh,

1046
00:58:51,200 --> 00:58:54,479
Speaker 1: this is from Ali Israel at dancer Ali. It says

1047
00:58:54,480 --> 00:58:58,320
Speaker 1: white people love putting black face on everything except for Jesus.

1048
00:58:59,000 --> 00:59:01,560
Speaker 1: Uh so true? I mean, did you think he looked

1049
00:59:01,600 --> 00:59:04,920
Speaker 1: like some guy who was in Edward Sharper the Magnetic Zeros? Right?

1050
00:59:05,600 --> 00:59:09,880
Speaker 1: Blue eyes? For sure he was. If he had blue eyes,

1051
00:59:10,040 --> 00:59:13,000
Speaker 1: that would be the very first thing mentioned about, like

1052
00:59:13,120 --> 00:59:16,440
Speaker 1: even even ahead of a virgin birth and him being

1053
00:59:16,480 --> 00:59:18,960
Speaker 1: the son of God. People be like, holy ship, what

1054
00:59:19,000 --> 00:59:24,480
Speaker 1: the hell is where his father resides. Uh. You can

1055
00:59:24,560 --> 00:59:27,680
Speaker 1: find me on Twitter at Jack Underscore O'Brien, a tweet

1056
00:59:27,880 --> 00:59:30,880
Speaker 1: I've been enjoying. Uh. Let's give another shout out to

1057
00:59:30,880 --> 00:59:34,480
Speaker 1: pixelated Boat, who tweeted every time I read The Great Gatsby,

1058
00:59:34,560 --> 00:59:38,720
Speaker 1: the final paragraph brings me to tears. Breathtaking lye powerful writing.

1059
00:59:39,200 --> 00:59:43,120
Speaker 1: And then he tweeted a screen cap of the last

1060
00:59:43,120 --> 00:59:47,040
Speaker 1: paragraph that says, I'm alive, said Gatsby roaring past on

1061
00:59:47,040 --> 00:59:49,760
Speaker 1: a speedboat. He'd faked his own death and gotten away

1062
00:59:49,760 --> 00:59:54,200
Speaker 1: with everything. That's why they called him the Great Gatsby.

1063
00:59:54,240 --> 00:59:56,479
Speaker 1: Out of the way current, he yelled at the water,

1064
00:59:56,560 --> 01:00:02,920
Speaker 1: as this speedboat is bearing me ceaselessly into the future. Uh. Yeah,

1065
01:00:02,960 --> 01:00:06,280
Speaker 1: I like his work. How does it actually end? I'm

1066
01:00:06,280 --> 01:00:09,800
Speaker 1: seeing the light or some ship. Yeah, green light and

1067
01:00:10,160 --> 01:00:16,840
Speaker 1: then something about something or currents beating against the future

1068
01:00:17,440 --> 01:00:24,320
Speaker 1: wave bearing us backwards. Uh. Yeahs nailed it all right.

1069
01:00:24,440 --> 01:00:27,120
Speaker 1: You can find us on Twitter at Daily Zeitgeist. We're

1070
01:00:27,120 --> 01:00:29,760
Speaker 1: at the Daily Zeitgeist on Instagram, we have Facebook fan

1071
01:00:29,840 --> 01:00:32,520
Speaker 1: page and a website Daily zieis dot com, where we

1072
01:00:32,560 --> 01:00:35,720
Speaker 1: post our episodes. In our foot we link off to

1073
01:00:35,720 --> 01:00:37,960
Speaker 1: the information that we talked about in today's episode, as

1074
01:00:38,000 --> 01:00:40,760
Speaker 1: well as the song we write it out on Miles.

1075
01:00:40,760 --> 01:00:42,520
Speaker 1: What's that going to be today? This is from the

1076
01:00:42,520 --> 01:00:45,560
Speaker 1: band show Me the Body. Uh, he wrote out to

1077
01:00:45,640 --> 01:00:47,160
Speaker 1: one of their tracks, like a month or two ago.

1078
01:00:47,200 --> 01:00:50,040
Speaker 1: This is They just dropped a little new album or

1079
01:00:50,040 --> 01:00:52,800
Speaker 1: maybe single. But it's called camp Orchestra or show Me

1080
01:00:52,840 --> 01:00:55,840
Speaker 1: the Body, and it's just some some some some some

1081
01:00:55,920 --> 01:00:59,000
Speaker 1: guitars to get you bumping and pumping through your week.

1082
01:00:59,320 --> 01:01:01,160
Speaker 1: Do you think that's a reference to stand by Me?

1083
01:01:01,480 --> 01:01:04,080
Speaker 1: Or is it like more of a romantic show Me

1084
01:01:04,160 --> 01:01:08,960
Speaker 1: the Body? Um, I don't know. I'm gonna think about that. Okay, cool,

1085
01:01:09,280 --> 01:01:11,040
Speaker 1: get back yeah yeah, let me just have a thing

1086
01:01:11,120 --> 01:01:13,480
Speaker 1: on it. Get back to me re show me the Body?

1087
01:01:13,560 --> 01:01:15,920
Speaker 1: Thank you? But okay with that an email, all right,

1088
01:01:16,160 --> 01:01:18,240
Speaker 1: we're gonna write out on that. We will be back

1089
01:01:18,360 --> 01:01:20,960
Speaker 1: tomorrow because it is a daily podcast. We'll help you.

1090
01:01:21,080 --> 01:01:26,600
Speaker 1: Them banks trying to put that talking me. Thank god,

1091
01:01:26,960 --> 01:01:32,200
Speaker 1: it's talking in front of me, he said, the one

1092
01:01:32,360 --> 01:01:35,880
Speaker 1: I am a cop. I want to say, I'm just

1093
01:01:35,920 --> 01:01:44,760
Speaker 1: saying no words such a what's that? Just say away? Right?

1094
01:01:48,760 --> 01:01:53,360
Speaker 1: He was such a freak. Work was such a settle.

1095
01:01:53,400 --> 01:01:57,240
Speaker 1: What we're set a flake, We're sick a flee