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Speaker 1: Welcome to Stuff you should know, a production of I

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Speaker 1: Heart Radio. Hey, and welcome to the podcast. I'm Josh,

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Speaker 1: and there's Chuck and Jerry's here, and this is stuff

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Speaker 1: you should know that you already headed right towards something

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Speaker 1: brilliant that it's all you stop yourself. I yeah, I

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Speaker 1: didn't have anything, so I just just let it die

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Speaker 1: right there on the still in front of everybody. Hey,

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Speaker 1: before we get going, we want to plug a couple

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Speaker 1: of podcasts from our colleagues. I had a hand in

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Speaker 1: both of these. Nice congrats. Sure, I think it's probably

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Speaker 1: the last thing I'll have a hand in. Ever. Why

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Speaker 1: is that? Are you dying? No, I mean we're all dying. Uh,

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Speaker 1: nothing imminent, but I don't know. The door, you know,

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Speaker 1: doesn't often knock for voice acting, although you never can tell,

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Speaker 1: but I did a piece of voice acting for Lethal

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Speaker 1: Lit season two premiere. And if you if you don't

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Speaker 1: know what Lethal Lit is, it is, Uh, technically it's

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Speaker 1: called Lethal Lit colin a tig Tours Mystery season two

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Speaker 1: and it just debuted yesterday. Season two did, But it is.

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Speaker 1: It's great. It's like a sort of an old school

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Speaker 1: Nancy Drew Detective Team detective type of thing, but modernized,

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Speaker 1: got a little more punch, but you know, it's still

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Speaker 1: family friendly. A little more punch of seen, a little

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Speaker 1: more bite with the emphasis, Um, it's really great. Yeah,

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Speaker 1: So it is, like it's the kind of thing from

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Speaker 1: what I understand that like adults can enjoy, but it's

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Speaker 1: it's also geared towards like younger listeners to right. Yeah,

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Speaker 1: I mean they say it's like Nancy Drew for scream fans. Uh.

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Speaker 1: But the people who make it are awesome. And Heather

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Speaker 1: iron Horn created it a couple of years ago when

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Speaker 1: I was still doing like development stuff. I met with

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Speaker 1: her and she rang me up a couple of years

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Speaker 1: later and said, hey, how about doing a piece of

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Speaker 1: voice acting for the season premiere season two? And I did,

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Speaker 1: and it was so much fun. I got to like

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Speaker 1: really get a juicy character acting type of things. I

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Speaker 1: can't wait to hear it. Chuck, I'm not just playing me.

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Speaker 1: That's great. Even when you played you, I thought you

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Speaker 1: did a good job. You're a much better actor than

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Speaker 1: you give yourself credit for. This was a lot of fun.

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Speaker 1: Though I wish I could do more of this kind

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Speaker 1: of stuff, but I just I don't like pursue it.

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Speaker 1: But anyway, it was a lot of fun. So you

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Speaker 1: can hear me in season episode one of season two,

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Speaker 1: which is out now on the I Heart Network. And

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Speaker 1: then our buddy Joe Randazzo has a new show that's out.

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Speaker 1: Didn't didn't he tell him the name? Uh? Dr sex Reese.

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Speaker 1: It is not family friendly. No, you could have just

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Speaker 1: said Joe Randazzo and that that would have gotten that across.

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Speaker 1: Not family family guy. He is one of the great

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Speaker 1: comedic geniuses of our time, but he's not family friendly. No, no,

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Speaker 1: So it's it's a blue comedy. It's very, very funny,

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Speaker 1: but you don't want your kids listening. But it is

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Speaker 1: about a Colin show is a sex therapist who has

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Speaker 1: never had intercourse. And that's kind of all you need

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Speaker 1: to say. And it's Joe, so yeah, it's great. I

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Speaker 1: mean you had me at Joe Randazzo, so yeah, And

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Speaker 1: that's out now too, right, Uh, it's already out. And

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Speaker 1: I don't think I ever mentioned in lieu of listener mail.

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Speaker 1: One week, I was going to mention it, but I forgot.

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Speaker 1: Remember when I said I wasn't very into Calvin and

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Speaker 1: Calvin and Hobbs like I never read it. He He

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Speaker 1: left me a voicemail driving with his three children where

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Speaker 1: they sounded like a fire torch wielding angry mob screaming

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Speaker 1: at me about not getting into Calvin and Hobbs. I'm

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Speaker 1: gonna cheer it with you. It's very funny, like his

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Speaker 1: kids sound like. It's like Lord of the Flies level upset.

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Speaker 1: It's awesome. His kids are chuck. It's really funny. But anyway,

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Speaker 1: Dr Sex Race is already out. Uh and then Lethal

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Speaker 1: It It it Tick towards Mystery. Season two dropped yesterday. Well,

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Speaker 1: congratulations to everybody. Congratulations I think most of all to

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Speaker 1: you though for appearing on Lethal Lit. It was fun.

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Speaker 1: I wish I could voice act a lot. I have

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Speaker 1: a feeling you're gonna get a lot more requests starting now.

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Speaker 1: We'll see people be like, who was who was that guy?

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Speaker 1: I'm not going to reveal anything about it, but okay.

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Speaker 1: I did a very small part on squid Billies a

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Speaker 1: few years ago. It was never released with me. Yeah,

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Speaker 1: that's like our kiss of death. When you have us

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Speaker 1: on your talk show, it gets canceled. It within a month. Now,

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Speaker 1: it wasn't canceled. It was I think I think I

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Speaker 1: think our friend Dave willis replace me. I don't think

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Speaker 1: I was very good and that one, at least he

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Speaker 1: did it quietly. I never followed up with him. I

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Speaker 1: should have asked, but I was ready to go in

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Speaker 1: there and do some good like redneck voice, because I

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Speaker 1: do some good ones. And he said, he's like, no,

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Speaker 1: just once, You're just gonna be you. And I went, oh, Dave,

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Speaker 1: you just gave me a soda pop and sent me

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Speaker 1: on my way. Oh you got a free soda pop. Fun.

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Speaker 1: We love Dave and Squidbillizo so no, no shade there. Okay,

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Speaker 1: so welcome to the podcast for everybody. Just fast forwarded

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Speaker 1: through all that and got to the market where we

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Speaker 1: started about littering. How about that? Yeah, And this one

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Speaker 1: was one of my picks, and I very simply thought

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Speaker 1: of it recently because I was driving down the road

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Speaker 1: and two and saw a fully grown adult human throw

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Speaker 1: a bag of trash out their window, followed by a

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Speaker 1: cup of fast food soda filled with dip spit, so

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Speaker 1: two different throws out of the car, and I just thought,

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Speaker 1: my god, who does that? And uh, let's let's see

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Speaker 1: if we can find out. And you ran them off

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Speaker 1: the road. No, I was just so upset though. It's

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Speaker 1: just so weird to see. I'm really really working on

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Speaker 1: letting things trigger or flood me in starting in year finally.

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Speaker 1: And uh, I'm very curious how how well I would

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Speaker 1: deal with actually seeing that, Like I'm doing okay hearing

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Speaker 1: about it right now, Like I'm a little jazzed right now,

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Speaker 1: but I got it under control. Actually seeing it, I

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Speaker 1: don't know how well I could contain myself. I was

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Speaker 1: ticked off, but it's um, I try to let things

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Speaker 1: go quicker, so it's not like hours later, I was

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Speaker 1: still like, Ah, that guy. That's good. You know that's good. Yeah,

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Speaker 1: that's because you know what. You can't change that guy. No,

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Speaker 1: you can't. You can just run him off the road. Yeah,

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Speaker 1: or find them if you're a government sure. I mean,

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Speaker 1: if you had tried to find him, he probably would

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Speaker 1: have laughed in your face. Although I'm saying he it's

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Speaker 1: just as possible. It turns out, Chuck, at least if

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Speaker 1: this had happened in two thousand nine, that it could

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Speaker 1: have been she too. Huh. Yes, statistically speaking, that is true.

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Speaker 1: But I saw this guy's ugly face. I'll bet he

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Speaker 1: was so ugly and stupid. I bet his whole family

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Speaker 1: was so stupid. Yeah, I've been so mad if he

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Speaker 1: was handsome, handsome, smart people don't litter typically unless they're

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Speaker 1: Don Draper. All right, let's do this litter right. Yeah.

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Speaker 1: I think it was a good pick. One of the

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Speaker 1: things that I love about this episode is it's kind

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Speaker 1: of mind bending. Um. One of those bern Asian surprises

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Speaker 1: is firmed wedged firmly inside this episode's topic. M M,

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Speaker 1: don't you think I'm sure? I know what you mean?

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Speaker 1: Oh sure, I do. Okay. I was like, oh god,

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Speaker 1: that's like four pages of this stuff. No, no, no,

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Speaker 1: you may I just I forgot who Bernese was. I

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Speaker 1: was thinking about the sauce. You're like, it sounds good

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Speaker 1: but confusing. Uh should we start with the word yeah,

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Speaker 1: let's I thought that was a good place to also

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Speaker 1: shout out to Dave Ruse for helping us out with

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Speaker 1: us as always as ever, so, the word litter with

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Speaker 1: one T came from old friend to Middle English meant

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Speaker 1: a bed with two teas. It was like a portable

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Speaker 1: bed that if you were like a king or somebody,

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Speaker 1: you could travel around on one of these and I

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Speaker 1: guess that's where a rescue litter comes from. Okay, I thought,

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Speaker 1: because I've always thought that was such a weird word

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Speaker 1: for it. It is very weird. It doesn't really make

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Speaker 1: any sense. But the use of the word bed for

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Speaker 1: litter makes much more sense because it comes from our

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Speaker 1: friends down on the farm. Yeah, our farm, our farmer friends.

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Speaker 1: You mean you're talking about scattering hey. Yeah, Like if

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Speaker 1: you if you scatter hey for an animal to sleep on,

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Speaker 1: particularly like livestock or something like that, you would call

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Speaker 1: that their litter. And there you have it. That's where

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Speaker 1: it comes from, Like littering food out of your car,

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Speaker 1: derived initially from being a kind farmer and scattering hey

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Speaker 1: for your little goats. Yeah. Because along the way, somebody

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Speaker 1: equated like scattering stuff on the ground that you wouldn't

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Speaker 1: normally want on the ground with people throwing their trash

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Speaker 1: on the ground, and so litter became used as litter.

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Speaker 1: What surprised me is that, um that this started way

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Speaker 1: back in the eighteenth century. I would have thought it

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Speaker 1: was a much more recent phenomenon, but no, it isn't. Yeah.

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Speaker 1: Day found a uh something from a novel in reference

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Speaker 1: to the word litter as litter. If she is cutting

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Speaker 1: a piece of gauze or paper, she's sure to make

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Speaker 1: a litter all over the room. Yeah, it's like a mess.

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Speaker 1: It was a literary reference to litter, so that's where

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Speaker 1: the word later came from. And I'd love one. I'd

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Speaker 1: love I like the stories of the etymologies where there's

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Speaker 1: some really great theories because nobody quite knows, but I

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Speaker 1: find those less satisfying than the ones where it's like

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Speaker 1: here it is, here's your answer, fish Bolb. Yeah. Uh,

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Speaker 1: littering was not as big of a deal here in

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Speaker 1: the United States, and I imagine in other parts of

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Speaker 1: the world, but we're talking mainly about the US with

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Speaker 1: these sta uts, but until the fifties and sixties, because

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Speaker 1: we were generally a culture of reusing things and there

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Speaker 1: were not nearly as many disposable things. Uh, a lot

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Speaker 1: of glass and you know, Emily talks about her grandparents

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Speaker 1: in Middle Ohio in the nineteen forties and fifties and

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Speaker 1: they re used a lot of stuff. And it wasn't

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Speaker 1: it wasn't like because of a green movement. It was

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Speaker 1: just like people reuse stuff. Things cost money, and if

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Speaker 1: you weren't like wealthy, you reuse things. Yeah, I mean

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Speaker 1: that was even if you were wealthy, you typically reuse things.

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Speaker 1: Like if you got milk, you would leave your empty

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Speaker 1: milk bottles out and the milkman would come along and

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Speaker 1: replace the empty bottles with filled up bottles, and it

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Speaker 1: would take those other bottles, clean them and reuse them.

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Speaker 1: Like that was just how you got milk. Whether you

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Speaker 1: were wealthy or poverty stricken didn't matter, And that was

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Speaker 1: just the way that society was up until the post

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Speaker 1: World War two economic boom, where um, thanks to a

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Speaker 1: lot of technology that we developed during the war, all

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Speaker 1: of a sudden, we had packaging that we could produce

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Speaker 1: really cheaply and really efficiently, and no way to make

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Speaker 1: a bunch of money off of them off of it

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Speaker 1: until some enterprising I guess beverage companies and and um

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Speaker 1: disposable packaging companies got together and said, we've got to

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Speaker 1: figure this out, because there's a lot of a lot

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Speaker 1: of money being lost by this deeply inefficient reuse economy

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Speaker 1: that we've got. Yeah, and I know I've mentioned this

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Speaker 1: once before, but I'm just fifty years old, and I

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Speaker 1: actually I mean, we could get milk in the store,

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Speaker 1: but we also occasionally would go to a dairy nearby

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Speaker 1: and bring milk bottles. It wasn't in the milkman coming

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Speaker 1: to your house, but we would go to a dairy

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Speaker 1: and pull up and get our milk exchanged. Uh. And

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Speaker 1: the other relic from the seventies that you probably remember too,

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Speaker 1: that you know, younger listeners might be shocked to here

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Speaker 1: is the Charles chips. Dude, Oh that we got canister chips. Yeah.

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Speaker 1: We You would get potato chips Charles Chips delivered and

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Speaker 1: you would give them your big you know, it's like

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Speaker 1: a big metal tin full of potato chips. And it

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Speaker 1: wasn't like, oh it was a tin with a bunch

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Speaker 1: of bags of little chips. No, it was full of

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Speaker 1: potato chips and you would get your potato chips delivery.

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Speaker 1: It's crazy to think about. We we never had that.

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Speaker 1: I remember the Schwann's delivery person. And then prior to

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Speaker 1: if you want to bottle water, it meant that somebody

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Speaker 1: showed up at your house with like a five or

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Speaker 1: ten gallon jug of water and you had a little

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Speaker 1: water dispenser that was bottled water before and those were

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Speaker 1: all reusable. Yeah, we'll probably speak ill of single use

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Speaker 1: of plastic bottles of water. Well, I think you should.

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Speaker 1: I think anybody, any sensible person sees the disposable packaging

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Speaker 1: that that um really kind of drives a lot of

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Speaker 1: our our economy and a lot of the products that

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Speaker 1: we buy as really problematic. And litters just one aspect

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Speaker 1: of it, but it's a pretty big aspect of it.

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Speaker 1: But I think what we're saying here in total to

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Speaker 1: begin is that litters actually a fairly recent phenomenon, starting

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Speaker 1: in maybe the fifties, the nineteen fifties. Yeah. And Dave

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Speaker 1: also points out that not only were we reusing things

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Speaker 1: and just not having as many disposable items, but there

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Speaker 1: weren't trash cans all over the place back then either

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Speaker 1: like there are now. And there weren't signs that say, hey,

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Speaker 1: you know, it's weird to throw stuff just on the

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Speaker 1: ground when you leave. Uh. And he he did reference

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Speaker 1: a Madman episode, which is very funny. I remember when

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Speaker 1: it happened. The drapers are on a picnic, and they

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Speaker 1: got up afterward and done through his spear bottle in

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Speaker 1: the woods, and Betty shook the litter off the blanket

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Speaker 1: onto the grass in the park and then they got

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Speaker 1: in their car it's hysterical and just leave it there. Yeah.

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Speaker 1: The one that always gets me is the anchorman thing

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Speaker 1: where they're all eating McDonald's and walking and they just

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Speaker 1: all throw their track. Yeah, yeah, I mean it was

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Speaker 1: there was a time when that was. I don't know

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Speaker 1: if it was ever acceptable, but it was certainly not

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Speaker 1: like it is now. As far as you know, you

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Speaker 1: were like shunned, not frowned upon. But it didn't take

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Speaker 1: very long for people to say, like this is this

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Speaker 1: is objectively ugly, like even if you you were not

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Speaker 1: taking the environment into account, which they certainly weren't at first,

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Speaker 1: but in like the fifties and sixties, there were still

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Speaker 1: people that were like it, this looks terrible. And they

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Speaker 1: were even like farmers apparently in Vermont were complaining that

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Speaker 1: people are just throwing their glass bottles out the out

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Speaker 1: the window. Because, by the way, even though you could

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Speaker 1: still reuse some of the stuff, the the companies producing

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Speaker 1: these um these um goods that were in like disposable packaging,

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Speaker 1: they were they were encouraging people to just throw this away.

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Speaker 1: Like there were there was um oh, what's the name

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Speaker 1: of that podcast or that MPR show through Line. They

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Speaker 1: did a really great episode on on what we're talking

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Speaker 1: about here, the development of teaching people to throw stuff away.

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Speaker 1: There were actual like ads and commercials and p s.

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Speaker 1: A s that taught people like, Okay, when you're done

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Speaker 1: with this, just throw it away. You don't have to

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Speaker 1: figure out a way to reuse it or wash it out,

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Speaker 1: or you can just throw it away. And like people

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Speaker 1: had to be taught that, which kind of goes to

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Speaker 1: show how unnatural the whole thing is. But but my

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Speaker 1: point is that even at the time, chuck um, there

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Speaker 1: were people who had problems with littering from the outset,

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Speaker 1: even if it wasn't like a massive thing at that point,

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Speaker 1: like a society wide issue. Yeah, and God bless Vermonters. Uh.

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Speaker 1: You mentioned the farmers there with a broken glass for

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Speaker 1: their cows. But they sponsored and got past the first

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Speaker 1: what would be known as bottle bills. Uh when in

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Speaker 1: three they banned throwaway bottles. And this is where you

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Speaker 1: know the writing was on the wall for the beverage

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Speaker 1: industry in particular, was like, oh, you know, Vermont, they're

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Speaker 1: a bunch of hippies. Sure, but we can't let this

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Speaker 1: catch on and get our product band, we'll be in

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Speaker 1: big trouble, and I guess we'll take a break maybe

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Speaker 1: because that's a great cliffhanger and dive into our barn

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Speaker 1: Asian nightmare. Right, let's do it, all right, we'll be

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Speaker 1: right back. Well, now we're on the road, driving in

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Speaker 1: your truck. Want to learn a thing or two from

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Speaker 1: Josh Damp Chuck gets stuff you should know. All right,

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Speaker 1: So we were entering that barn Asian nightmare. Now, Chuck,

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Speaker 1: it's like a giant Goya painting of corporate interests. This

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Speaker 1: one's tricky because it is a Bernasian nightmare and we're

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Speaker 1: talking about the creation of Keep America Beautiful. Uh, but

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Speaker 1: it it all like I have very mixed feelings because

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Speaker 1: the whole thing with Keep America Beautiful is is a

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Speaker 1: lot of big beverage companies got together, Dixie Cup, Coca Cola, Owens,

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Speaker 1: Illinois Glass Company, American Can Company, and they said, all right,

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Speaker 1: we gotta fight these bottle bills. Um. And the way

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Speaker 1: we're gonna do it is through a pr spin to

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Speaker 1: tell everybody that it's their responsibility to not litter. And

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Speaker 1: in a way it's sort of an evil plan, but

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Speaker 1: in another way, I'm like, yeah, you should be individually

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Speaker 1: responsible to not do that. But then also beverage companies

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Speaker 1: also have a responsibility that they completely shirt, So I

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Speaker 1: get it. But I also think people have a personal responsibility,

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Speaker 1: you know what I mean. I I think that's a

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Speaker 1: very sensible way of looking at it, because I agree

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Speaker 1: with it fully, Like, yes, Like, there's nothing wrong with

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Speaker 1: them coming up with keep America beautiful and teaching people

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Speaker 1: to not litter, and then in conjunction with that, actually

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Speaker 1: putting those garbage cans out and putting you know, creating

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Speaker 1: like a public service campaign that taught people like, don't

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Speaker 1: be a litter bug. If you if you litter, your unpatriotic.

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Speaker 1: They basically used every angle they could think of. The

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Speaker 1: problem with it that everybody has an issue with. Once

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Speaker 1: you find out about this is that it was the motivation,

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Speaker 1: the intent behind it. It wasn't too to beautify America.

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Speaker 1: It was to keep the train, this disposable packaging train

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Speaker 1: going right, Like, hey, everybody stopped throwing the stuff on

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Speaker 1: the ground or else we're not going to be able

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Speaker 1: to make this anymore. But even more than that, they

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Speaker 1: took the they took the spotlight off of the question

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Speaker 1: why is there so much disposable packaging to begin with?

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Speaker 1: Why don't we go back to reusable stuff that was working.

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Speaker 1: And these companies are like, no, no, no, we we

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Speaker 1: are make fifty times more money with this disposable stuff

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Speaker 1: because you guys are buying way more and then um,

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Speaker 1: and then it put the spotlight onto the individual person.

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Speaker 1: It said, it's your responsibility stop asking about disposable packaging

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Speaker 1: and just start focusing on your civic duty to not wither. Yeah,

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Speaker 1: and you sent me an article that had an interesting

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Speaker 1: bit that and we'll cover some more stuff in this

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Speaker 1: time period. But by the early seventies, some more of

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Speaker 1: these bottle bills, Uh, we're happening. And they weren't so

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Speaker 1: much banning things, but it was like, hey, let's incentivize

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Speaker 1: people to come back and turn in their knee high

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Speaker 1: grade bottle for five cents, which also remember doing when

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Speaker 1: I was a kid. Uh. And in nineteen seventy four,

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Speaker 1: California was considering a bottle bill, and Keep America Beautiful

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Speaker 1: was like, whoa, this is big time because that's a

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Speaker 1: huge economy out there. And they actually publicly opposed the

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Speaker 1: measure for the first time, and there was a leaked

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Speaker 1: story about the chairman the American can Company, William F. May,

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Speaker 1: called bottle bill supporters communists, And this is when the

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Speaker 1: e p A pulled out and a bunch of environmental

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Speaker 1: groups pulled out of Keep America Beautiful. And we're like, oh,

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Speaker 1: that's like the light was kind of shining on them

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Speaker 1: for the first time. Yeah, that that like, oh, these

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Speaker 1: guys aren't really you know, environmentally conscious. There's this is

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Speaker 1: strictly greenwashing for them. It was the first greenwashing attempt

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Speaker 1: and it was super successful too. Yeah. They spent fourteen

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Speaker 1: million dollars over a five year span in the early

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Speaker 1: nineties to defeat a national bottle bill. So Keep America

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Speaker 1: Beautiful does some great work, but it's you know, you

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Speaker 1: gotta know what goes on behind this stuff. You know.

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Speaker 1: That's absolutely true. And that's good that they are doing

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Speaker 1: good work because they are basically the sole source for

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Speaker 1: data about littering in America at very least, they're the

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Speaker 1: most robust source. But as Dave puts it, um it's

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Speaker 1: bankrolled by corporate interests. But the people conducting these these

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Speaker 1: um these studies are actually like environmental engineers and their

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Speaker 1: disinterested bodies insofar as you know, they're still scientists although

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Speaker 1: they're being paid, like they're not cooking the books. No,

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Speaker 1: And you know, I mean like yeah, it's it's a

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Speaker 1: very like I'm just writhing right here. I can't. I

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Speaker 1: just want this to be clear, like should I hate

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Speaker 1: keep America beautiful or not? But um, but but I

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Speaker 1: don't because they are They have had a huge effect

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Speaker 1: on littering, demonstrably a big effect on on reducing littering

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Speaker 1: and teaching people not to litter. It's just again for

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Speaker 1: their bottom lines, that's the problem. And they are still

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Speaker 1: the number one largest anti litter organization on planet Earth.

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Speaker 1: So there's something to be said for that. Uh. And

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Speaker 1: they've had many ways to get their message out there

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Speaker 1: over the years. I think their first little mascot was

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Speaker 1: Susan Spotless, who talked about who shamed litter bugs early on? Uh.

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Speaker 1: And then you know, we don't remember what episode, but

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Speaker 1: very on and stuff early on and stuff. You should

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Speaker 1: know we talked about the what it was known at

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Speaker 1: the time, the crying Indian p s A. Do you

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Speaker 1: remember why we would have talked about that? M I don't.

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Speaker 1: Years ago, I cannot, I have no idea why that

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Speaker 1: would have come up? Well, what was the deal with that?

387
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Speaker 1: It was sort of fake on many fronts, right, it was.

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Speaker 1: I mean one of the big things was that Ironized Cody,

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Speaker 1: who was known for a while as America's favorite Indian,

390
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Speaker 1: was not Native American by any way, shape or form.

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Speaker 1: He was actually a Sicilian American um actor. Oh, that's

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Speaker 1: a big one that people definitely at the time didn't

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Speaker 1: know um. And that was problematic not just because this

394
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Speaker 1: guy was Sicilian um, but that also the Native American

395
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Speaker 1: that is being used in this ad, the very image

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Speaker 1: of the Native American was was just totally co opted

397
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Speaker 1: by this corporate group to again shame you into not

398
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Speaker 1: littering too, for you to feel bad, not them to

399
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Speaker 1: feel bad, for you to feel bad for littering. Um.

400
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Speaker 1: And it it also the the other thing that I

401
00:23:19,040 --> 00:23:20,960
Speaker 1: saw that was a big critique of is that if

402
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Speaker 1: you'll notice, like the Native American Ironized Cody um or

403
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Speaker 1: the character doesn't speak, he's spoken for by a narrator

404
00:23:30,000 --> 00:23:32,920
Speaker 1: um and so he's he stands mute, which I saw

405
00:23:32,960 --> 00:23:37,200
Speaker 1: as a testament to his powerlessness. Yeah, I mean, if

406
00:23:37,200 --> 00:23:38,720
Speaker 1: you don't know what we mean that you can find

407
00:23:38,760 --> 00:23:42,359
Speaker 1: it on YouTube. Still, it was a minute long commercial

408
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Speaker 1: where it showed this Native American in full you know,

409
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Speaker 1: sort of traditional garb paddling a traditional Native American canoe

410
00:23:51,200 --> 00:23:53,600
Speaker 1: through what looked like the Kyoga River in Ohio. I

411
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Speaker 1: know it wasn't there, but it couldn't have been any

412
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Speaker 1: more industrial with this sort of we're chant kind of

413
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Speaker 1: music playing in the background. It was kind of wrong

414
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Speaker 1: in many levels, you know, through today's lens. But you know,

415
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Speaker 1: he's getting more sad as he sees how poorly the

416
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Speaker 1: water is treated in the shore line. And then he

417
00:24:14,320 --> 00:24:19,159
Speaker 1: finally gets out and a bag of fast food is

418
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Speaker 1: tossed from a car and explodes at his feet with

419
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Speaker 1: seemingly an entire order for like a family of five

420
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Speaker 1: a fast food. It's so much food, it's like did

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Speaker 1: theyn't eat anything out of that back? And then in

422
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Speaker 1: a single tier once you see his face, Yeah, they

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00:24:35,160 --> 00:24:37,640
Speaker 1: pan up and and his face is there and it's

424
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Speaker 1: he's crying, which may have been faked as well, right, Yeah,

425
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Speaker 1: I think it was a glycerin concoction. Yeah, so um, yeah,

426
00:24:45,800 --> 00:24:49,919
Speaker 1: what's what's not great under today's in today's view was

427
00:24:49,960 --> 00:24:53,480
Speaker 1: like award winning and groundbreaking back in nine when the

428
00:24:53,520 --> 00:24:55,239
Speaker 1: ad came out and it had an effect. It had

429
00:24:55,240 --> 00:24:59,879
Speaker 1: a huge effect. The the AGG Council, who I helped

430
00:25:00,000 --> 00:25:02,840
Speaker 1: reduced that p s A apparently had to send out

431
00:25:02,880 --> 00:25:05,600
Speaker 1: replacement reels because the original ones were getting worn out

432
00:25:05,600 --> 00:25:08,919
Speaker 1: because they're being played so often. As the long standing

433
00:25:08,920 --> 00:25:14,560
Speaker 1: anecdote goes, but if you're yeah, yeah, I can't remember

434
00:25:14,600 --> 00:25:16,440
Speaker 1: the last time I saw it, but I definitely saw

435
00:25:16,480 --> 00:25:19,280
Speaker 1: it on TV at some point, as you know, a

436
00:25:19,320 --> 00:25:23,240
Speaker 1: cognizant person, you know, right, And so it was created

437
00:25:23,240 --> 00:25:25,560
Speaker 1: in seventy one, and it was I remember seeing it

438
00:25:25,760 --> 00:25:29,840
Speaker 1: throughout the nineteen seventies. So if and if you're like,

439
00:25:30,000 --> 00:25:32,600
Speaker 1: was it really effective, stop and ask yourself if you

440
00:25:32,640 --> 00:25:35,520
Speaker 1: feel guilty at the thought of littering or at the

441
00:25:35,560 --> 00:25:38,240
Speaker 1: act of littering itself, And if your answers yes, it's

442
00:25:38,280 --> 00:25:42,840
Speaker 1: because the Keep America Beautiful group did a really good

443
00:25:42,920 --> 00:25:48,119
Speaker 1: job putting the personal responsibility of not littering onto us. Yeah,

444
00:25:48,200 --> 00:25:51,920
Speaker 1: which again it does make sense that like, uh, it's

445
00:25:51,960 --> 00:25:53,639
Speaker 1: just a shame it couldn't have been sort of a

446
00:25:53,680 --> 00:25:56,760
Speaker 1: hand in hand type of approach, right. The Park Service

447
00:25:56,800 --> 00:25:59,720
Speaker 1: also got into it too. Chuck with um Woodsy the Owl.

448
00:25:59,760 --> 00:26:02,280
Speaker 1: Did you see that that that clip I sent you

449
00:26:02,320 --> 00:26:05,320
Speaker 1: the ad? Yeah? I used to love Woodsy. Sure, how

450
00:26:05,320 --> 00:26:07,919
Speaker 1: could you not give a hoot? Don't pollut? Yeah, I

451
00:26:07,920 --> 00:26:11,680
Speaker 1: got a wood see sign at my camp. Oh that's cute. Yeah.

452
00:26:11,920 --> 00:26:14,639
Speaker 1: I like the seventies version. Have you seen the updated version?

453
00:26:16,080 --> 00:26:18,240
Speaker 1: I don't think so. He's kind of buff. He looks

454
00:26:18,240 --> 00:26:20,879
Speaker 1: like he could beat you up. He's almost like buff

455
00:26:20,920 --> 00:26:23,760
Speaker 1: in the way that Ned Flanders is buff, like a

456
00:26:23,800 --> 00:26:30,560
Speaker 1: wholesome buffness, that strangely menacing, weird a buff owl. Yeah, yeah, great,

457
00:26:30,600 --> 00:26:33,720
Speaker 1: great point. The other thing that keep America Beautiful was

458
00:26:33,760 --> 00:26:38,160
Speaker 1: successful at was lobbying for litter laws. Uh and so Nino.

459
00:26:38,280 --> 00:26:41,119
Speaker 1: Now there are all kinds of fines for both littering

460
00:26:41,200 --> 00:26:46,360
Speaker 1: and the most reprehensible kind of littering, which is dumping. Um.

461
00:26:46,400 --> 00:26:48,720
Speaker 1: One of my favorite bands of all time, Granddaddy, has

462
00:26:48,760 --> 00:26:54,760
Speaker 1: a song called Broken Household Appliance National Forest, where Jason

463
00:26:54,840 --> 00:26:58,080
Speaker 1: Little is a big outdoorsy guy and he their lyrics

464
00:26:58,080 --> 00:27:01,480
Speaker 1: are about like, you know, a forest just littered with

465
00:27:01,480 --> 00:27:04,800
Speaker 1: with appliances and animals living in them and uh and

466
00:27:04,840 --> 00:27:07,800
Speaker 1: it's not like it is obviously admonishing tongue in cheek,

467
00:27:07,880 --> 00:27:09,480
Speaker 1: but he's sort of like, you know, it's got a

468
00:27:09,560 --> 00:27:11,800
Speaker 1: nice a nice home for a bunny instead of an

469
00:27:11,800 --> 00:27:14,720
Speaker 1: oven door, and you know that kind of thing. But

470
00:27:14,840 --> 00:27:17,760
Speaker 1: dumping is just there. There's a spot in my neighborhood

471
00:27:17,800 --> 00:27:21,160
Speaker 1: where people will still dump stuff. Uh you know, it's

472
00:27:21,200 --> 00:27:22,879
Speaker 1: like if you find a spot of woods with a creek,

473
00:27:22,960 --> 00:27:24,800
Speaker 1: like you might find a couch in there one day.

474
00:27:24,960 --> 00:27:30,000
Speaker 1: It's awful, right, that's dumping. It's usually it's either like

475
00:27:30,080 --> 00:27:33,920
Speaker 1: five pounds is usually the standard, or a certain size

476
00:27:34,040 --> 00:27:36,239
Speaker 1: like so many cubic feet or something like that. But

477
00:27:36,720 --> 00:27:40,720
Speaker 1: it's like trash trash plus basically. And that's the ones

478
00:27:40,800 --> 00:27:43,800
Speaker 1: where like you can get a really big fine or

479
00:27:43,840 --> 00:27:45,960
Speaker 1: even jail time. I think a Tennessee you can get

480
00:27:46,040 --> 00:27:49,800
Speaker 1: up to six years for dumping. Um And in most

481
00:27:49,880 --> 00:27:53,439
Speaker 1: states if you dump for commercial purposes, like you're a

482
00:27:53,560 --> 00:27:56,919
Speaker 1: junk hauler and you go dump in the woods, no

483
00:27:56,960 --> 00:27:59,159
Speaker 1: matter how much or how little you dump, you can

484
00:27:59,200 --> 00:28:01,800
Speaker 1: get jail time for that. And I'm pretty stiff fine.

485
00:28:01,840 --> 00:28:04,600
Speaker 1: I think in Maryland it's like thirty dollars, and of

486
00:28:04,600 --> 00:28:07,639
Speaker 1: course it should be that way. Um. The problem is

487
00:28:07,720 --> 00:28:12,080
Speaker 1: is like the the I think the fine for littering

488
00:28:12,200 --> 00:28:16,560
Speaker 1: is either not enough to deter people who do litter still,

489
00:28:17,480 --> 00:28:21,879
Speaker 1: or it's unevenly applied apparently, like like jaywalking. Remember we

490
00:28:21,880 --> 00:28:24,600
Speaker 1: talked about in the short Stuff episode that jaywalking tickets

491
00:28:24,600 --> 00:28:28,800
Speaker 1: are not not distributed equally among the races in America. Yeah,

492
00:28:28,880 --> 00:28:33,800
Speaker 1: same deal with the littering, right, Yeah, same thing. So, uh,

493
00:28:34,359 --> 00:28:37,240
Speaker 1: they can take your driver's license. If you litter from

494
00:28:37,240 --> 00:28:40,160
Speaker 1: a car in certain states, you can have your vehicle

495
00:28:40,400 --> 00:28:43,600
Speaker 1: taken away. I think that's only for dumping, not like

496
00:28:43,680 --> 00:28:47,680
Speaker 1: throwing your fast food out the window. I don't know, huh,

497
00:28:48,000 --> 00:28:50,040
Speaker 1: but they should take your car. Yeah, I mean, I

498
00:28:50,040 --> 00:28:53,320
Speaker 1: guess if you drove your car to the woods and

499
00:28:53,400 --> 00:28:56,680
Speaker 1: had five hundred pounds of McDonald's packaging in your in

500
00:28:56,720 --> 00:29:00,120
Speaker 1: your car and they could take your car. Uh. We

501
00:29:00,200 --> 00:29:03,480
Speaker 1: do have a lot of statistics though, and Dave gave

502
00:29:03,520 --> 00:29:07,920
Speaker 1: us statistics from two years two thousand nine and then

503
00:29:08,720 --> 00:29:11,720
Speaker 1: and we'll explain why in a second. But in two

504
00:29:11,720 --> 00:29:14,240
Speaker 1: thousand nine, they're big studies said that there were fifty

505
00:29:14,280 --> 00:29:20,080
Speaker 1: one point two billion pieces of litter along America's roadways alone,

506
00:29:20,160 --> 00:29:23,360
Speaker 1: just on the side of the road. That's more than

507
00:29:23,400 --> 00:29:27,720
Speaker 1: sixty seven pieces of litter per mile. Uh and n

508
00:29:28,440 --> 00:29:32,120
Speaker 1: that was less than four inches. Uh and I think

509
00:29:32,360 --> 00:29:36,840
Speaker 1: thirty eight percent of that is is cigarette stuff, cigarette packs,

510
00:29:36,880 --> 00:29:40,800
Speaker 1: cigarette butts, yeah, old dip cans. I think lighters falls

511
00:29:40,880 --> 00:29:45,640
Speaker 1: under that tobacco product category. So tobacco products um are

512
00:29:45,840 --> 00:29:50,440
Speaker 1: far and away the most littered uh thing, but cigarette

513
00:29:50,440 --> 00:29:52,680
Speaker 1: butts are far and away the most littered part of

514
00:29:52,720 --> 00:29:56,240
Speaker 1: tobacco products too. Yeah, and I think litter a cigarette

515
00:29:56,280 --> 00:30:00,880
Speaker 1: butts are the last holdout for people who ordinarily woulden

516
00:30:00,960 --> 00:30:04,920
Speaker 1: litter that that justify it. Like I will see cigarette

517
00:30:04,920 --> 00:30:07,720
Speaker 1: butts flying out of a car with an environmental license plate.

518
00:30:09,000 --> 00:30:11,160
Speaker 1: I've seen it, and I'm just like, what is going

519
00:30:11,240 --> 00:30:16,440
Speaker 1: on here? I think people justify it. They don't want

520
00:30:16,520 --> 00:30:18,040
Speaker 1: a lot well, a lot of cars don't even have

521
00:30:18,040 --> 00:30:21,600
Speaker 1: ash trays anymore, Like I think you have to request one,

522
00:30:22,480 --> 00:30:24,560
Speaker 1: and people don't want him stinking up their car, so

523
00:30:24,640 --> 00:30:29,160
Speaker 1: they'll just throw them outside. It's true, it is true.

524
00:30:29,280 --> 00:30:31,160
Speaker 1: There's just no way around it. I can't tell you

525
00:30:31,160 --> 00:30:34,440
Speaker 1: how many cigarette butts I littered in my lifetime. You

526
00:30:34,520 --> 00:30:38,640
Speaker 1: have major pints, so, my friend, huh, you have paid

527
00:30:38,640 --> 00:30:40,920
Speaker 1: your pennance. I probably threw fast food out the window

528
00:30:40,920 --> 00:30:46,080
Speaker 1: when I was fourteen. You know, it's shameful, we're more evolved. Well,

529
00:30:46,080 --> 00:30:48,600
Speaker 1: thanks for letting me off the hook. I feel great now.

530
00:30:48,960 --> 00:30:52,960
Speaker 1: You're like you threw fast food wretch up, you monster

531
00:30:53,640 --> 00:30:59,200
Speaker 1: in what year? Hundreds of thousands of cigarette butts. We'll

532
00:30:59,200 --> 00:31:02,000
Speaker 1: talk more about the negative effect of tobacco products. But

533
00:31:02,720 --> 00:31:06,960
Speaker 1: the other year dave sentence was and it said, oh, look,

534
00:31:07,000 --> 00:31:11,960
Speaker 1: things have decreased from two thousand nine, and cigarette butts

535
00:31:12,000 --> 00:31:16,080
Speaker 1: even dropped, uh, from eighteen billion to five point seven billion.

536
00:31:16,480 --> 00:31:19,240
Speaker 1: I believe that the cavity, well a lot of people

537
00:31:19,240 --> 00:31:21,520
Speaker 1: not in as many people smoked, so that makes sense.

538
00:31:21,560 --> 00:31:23,640
Speaker 1: But it was also during the pandemic, like the height

539
00:31:23,640 --> 00:31:26,840
Speaker 1: of the pandemic, and nobody was driving. So I don't

540
00:31:26,840 --> 00:31:28,840
Speaker 1: even know why they did a study that year unless

541
00:31:28,840 --> 00:31:31,840
Speaker 1: they wanted to sort of shine the metal on their chest.

542
00:31:32,120 --> 00:31:34,960
Speaker 1: That's what I think. I think so because I think

543
00:31:35,040 --> 00:31:36,800
Speaker 1: if you yeah, I mean like you'd have to be

544
00:31:36,880 --> 00:31:39,040
Speaker 1: silly to to conduct a study like that and not

545
00:31:39,160 --> 00:31:41,240
Speaker 1: think like, oh, these results are going to be skewed.

546
00:31:41,280 --> 00:31:44,880
Speaker 1: Everybody in the middle of any data that came out

547
00:31:44,880 --> 00:31:48,120
Speaker 1: of was going to be unusual, so they would let's

548
00:31:48,120 --> 00:31:51,560
Speaker 1: get out there and count exactly. Let's show everybody that

549
00:31:51,680 --> 00:31:54,720
Speaker 1: this this disposable packaging things not a problem anymore. Because

550
00:31:54,760 --> 00:31:57,120
Speaker 1: I hear that, I hear them getting mad about it. Again,

551
00:31:57,760 --> 00:31:59,960
Speaker 1: I wonder how they do that. Did they just count

552
00:32:00,000 --> 00:32:02,120
Speaker 1: a certain number of miles in different places and then

553
00:32:02,320 --> 00:32:05,720
Speaker 1: extrapolate it, so I know in the two thousand nine methodology,

554
00:32:05,720 --> 00:32:08,800
Speaker 1: I believe they used the same one, but they selected

555
00:32:08,880 --> 00:32:13,400
Speaker 1: two hundred and forty different roadway segments. They did three

556
00:32:13,480 --> 00:32:16,880
Speaker 1: hundred feet by fifteen feet segments, so basically right along

557
00:32:16,880 --> 00:32:19,080
Speaker 1: the shoulder of the road for quite a ways, two

558
00:32:19,520 --> 00:32:21,880
Speaker 1: forty of those in different parts of the country. And

559
00:32:21,920 --> 00:32:26,560
Speaker 1: they literally counted every piece of trash, and they divided

560
00:32:26,640 --> 00:32:30,719
Speaker 1: them up into two sizes four inches and bigger and

561
00:32:30,760 --> 00:32:34,760
Speaker 1: then less than four inches and again in any category

562
00:32:34,840 --> 00:32:37,400
Speaker 1: 'or like overall cigarette buts were far and away the most,

563
00:32:37,440 --> 00:32:40,360
Speaker 1: but if you then go kind of take it down

564
00:32:40,360 --> 00:32:42,840
Speaker 1: to the four inch or less category, it's like all

565
00:32:42,880 --> 00:32:45,880
Speaker 1: cigarette butts basically. But that's that's how they did it.

566
00:32:45,920 --> 00:32:49,160
Speaker 1: And then they um did the math and extrapolated to

567
00:32:49,240 --> 00:32:52,040
Speaker 1: the the amount of roadway in the United States, and

568
00:32:52,080 --> 00:32:54,680
Speaker 1: that's where they came up with those numbers. So any

569
00:32:54,840 --> 00:32:59,040
Speaker 1: stretch of road that you're driving down in America on

570
00:32:59,160 --> 00:33:05,840
Speaker 1: each side has probably about sixty seven hundred pieces of

571
00:33:05,880 --> 00:33:08,520
Speaker 1: trash just sitting there. I mean, I know you already

572
00:33:08,560 --> 00:33:11,760
Speaker 1: said it, but I think it bears repeating. Great. Uh,

573
00:33:12,120 --> 00:33:14,840
Speaker 1: if we wanted to break down percentages more you have.

574
00:33:14,880 --> 00:33:18,680
Speaker 1: Paper litter was about twenty one point nine percent. Uh.

575
00:33:18,880 --> 00:33:21,280
Speaker 1: Part of the big problem. There's what's called instant litter,

576
00:33:21,880 --> 00:33:25,800
Speaker 1: which are those dumb free newspapers and flyers that nobody wants. Yeah,

577
00:33:25,800 --> 00:33:28,480
Speaker 1: but somebody like put some effort into laying it out

578
00:33:28,480 --> 00:33:31,800
Speaker 1: and designing it. You know, even it's just sad for

579
00:33:31,840 --> 00:33:35,040
Speaker 1: them to a certain extent, but it is nobody wants it.

580
00:33:35,040 --> 00:33:39,360
Speaker 1: It's true. I mean, it's a job. Instant litter though.

581
00:33:39,400 --> 00:33:42,600
Speaker 1: If you're that's a good TV character, movie characters like

582
00:33:42,600 --> 00:33:44,200
Speaker 1: what do you do for a living? I'm a copywriter

583
00:33:44,280 --> 00:33:49,800
Speaker 1: for instant litter. I feel great about that. That's like

584
00:33:49,800 --> 00:33:55,080
Speaker 1: a character from reality bites. Yeah. Uh, plastic is another

585
00:33:55,160 --> 00:33:57,920
Speaker 1: obviously big problem. Uh. They come in in third at

586
00:33:58,000 --> 00:34:01,680
Speaker 1: nineteen percent. That's a I think, yeah, I mean that's

587
00:34:01,760 --> 00:34:04,920
Speaker 1: what did it was that much or that little that that? Yeah,

588
00:34:04,920 --> 00:34:06,840
Speaker 1: I thought that percentage was a little low. I thought

589
00:34:06,840 --> 00:34:09,920
Speaker 1: it share would probably be more, wouldn't you. Yeah, because

590
00:34:10,800 --> 00:34:13,560
Speaker 1: plastic isn't just a plastic bottle, like that's an obvious thing.

591
00:34:13,600 --> 00:34:18,279
Speaker 1: But any tiny like plastic gum wrapper, any little piece

592
00:34:18,320 --> 00:34:22,120
Speaker 1: of plastic is counted as plastic. Obviously, Freedo's wrapper, that's

593
00:34:22,160 --> 00:34:29,240
Speaker 1: plastic plastic. M hmm, that's not foil. No, it's shiny

594
00:34:29,320 --> 00:34:33,879
Speaker 1: milar plastic film. Yeah, like a balloon exactly. You can

595
00:34:33,920 --> 00:34:35,840
Speaker 1: blow it up and take it to your kid's birthday

596
00:34:35,840 --> 00:34:39,680
Speaker 1: and say happy birthday. Here's a Freedo balloon chump. Almost

597
00:34:39,680 --> 00:34:42,400
Speaker 1: six percent metal, about four and a half percent glass,

598
00:34:42,960 --> 00:34:47,360
Speaker 1: and then four two percent is organic litter, which we

599
00:34:47,400 --> 00:34:49,719
Speaker 1: should talk about quickly because a lot of people think

600
00:34:50,400 --> 00:34:51,960
Speaker 1: I could just throw my Apple Core and my banana

601
00:34:52,040 --> 00:34:55,400
Speaker 1: peel out the window, and you shouldn't do that. No,

602
00:34:55,719 --> 00:34:59,839
Speaker 1: this is this is something that like I, I could

603
00:34:59,880 --> 00:35:02,560
Speaker 1: have guests, but I would still once in a while

604
00:35:02,840 --> 00:35:06,920
Speaker 1: throw like an Apple Core or something out like that. Well,

605
00:35:06,920 --> 00:35:09,319
Speaker 1: do you want to share why we shouldn't do that? Yeah,

606
00:35:09,400 --> 00:35:12,160
Speaker 1: there's a lot of reasons. One um, and this this

607
00:35:12,239 --> 00:35:15,120
Speaker 1: is why I did it. I thought it was quickly

608
00:35:15,200 --> 00:35:18,319
Speaker 1: and easily biodegradable and compostable, and that at the very

609
00:35:18,400 --> 00:35:21,360
Speaker 1: least if it wasn't eaten, it just went away pretty quickly.

610
00:35:21,400 --> 00:35:24,760
Speaker 1: And there was a study done in Grand Canyon National

611
00:35:24,840 --> 00:35:30,120
Speaker 1: Park um that where the scientists used to hike around

612
00:35:30,120 --> 00:35:33,400
Speaker 1: the park buried like an orange peel, a banana peel.

613
00:35:34,440 --> 00:35:36,359
Speaker 1: What was the other thing, like a kleenex I think

614
00:35:36,600 --> 00:35:40,439
Speaker 1: chewing gum and a kleenex and left them for six

615
00:35:40,520 --> 00:35:43,080
Speaker 1: months and came and dug them back up and nothing

616
00:35:43,320 --> 00:35:46,560
Speaker 1: there was like basically no change like the banana. The

617
00:35:46,560 --> 00:35:49,680
Speaker 1: banana peel turned like dark brown or black. That was

618
00:35:49,680 --> 00:35:52,279
Speaker 1: about it. Like they had not decomposed at all. So

619
00:35:52,400 --> 00:35:54,239
Speaker 1: that kind of like does away with it. And yes,

620
00:35:54,280 --> 00:35:56,239
Speaker 1: it was in the Grand Canyon, so I'm sure in

621
00:35:56,280 --> 00:35:59,840
Speaker 1: like the Florida Everglades it would probably decompose more. But

622
00:36:00,040 --> 00:36:02,719
Speaker 1: the point is it's not. It's not decomposing in any

623
00:36:02,800 --> 00:36:06,759
Speaker 1: really quick manner. And then secondly took apparently if the

624
00:36:06,840 --> 00:36:08,600
Speaker 1: other thought I had where it's like, well, you know,

625
00:36:08,640 --> 00:36:12,680
Speaker 1: an animal would love this apple, or uh, they don't,

626
00:36:12,920 --> 00:36:16,880
Speaker 1: and even if they do, they shouldn't really have it anyway. Right, Yeah,

627
00:36:16,920 --> 00:36:20,120
Speaker 1: And just a quick correction, she didn't actually bury it.

628
00:36:20,160 --> 00:36:23,279
Speaker 1: She left it out in a in a cage, so

629
00:36:23,320 --> 00:36:25,520
Speaker 1: it was exposed to the elements where animals could get

630
00:36:25,560 --> 00:36:27,600
Speaker 1: to it. She did both. There was a second part

631
00:36:27,600 --> 00:36:31,239
Speaker 1: where she buried it. Setting you up for the first part. Okay, well,

632
00:36:31,440 --> 00:36:33,040
Speaker 1: the first part is, yeah, she left it. It was

633
00:36:33,040 --> 00:36:35,080
Speaker 1: an open cage, so it's not like they were trapping animals.

634
00:36:35,120 --> 00:36:38,239
Speaker 1: But I think the point is no animals were eating it,

635
00:36:39,320 --> 00:36:40,960
Speaker 1: or at least not as much as people thought. But

636
00:36:41,000 --> 00:36:43,560
Speaker 1: it's not good for them. It teaches them to hang

637
00:36:43,600 --> 00:36:48,399
Speaker 1: around roadways and near trails and stuff like that. Um,

638
00:36:48,440 --> 00:36:51,839
Speaker 1: instead of you know, getting their regular natural organic diet

639
00:36:51,920 --> 00:36:55,400
Speaker 1: like deep into the woods. Uh. And it looks bad.

640
00:36:56,040 --> 00:36:58,200
Speaker 1: You know that black banana peel is going to be

641
00:36:58,239 --> 00:37:01,040
Speaker 1: there for a while. Yeah. It's one of the other

642
00:37:01,120 --> 00:37:03,840
Speaker 1: problems with litter that the impact that has on wildlife.

643
00:37:03,880 --> 00:37:06,239
Speaker 1: There's an estimate that's kind of bandied about all over

644
00:37:06,239 --> 00:37:09,120
Speaker 1: the place is that about a million animals a year

645
00:37:09,200 --> 00:37:12,080
Speaker 1: die from litter. I believe in the United States alone,

646
00:37:12,880 --> 00:37:16,160
Speaker 1: A lot of them are aquatic animals. We talked about

647
00:37:16,160 --> 00:37:20,040
Speaker 1: like ghost fishing that definitely would qualify as as aquatic litter.

648
00:37:20,680 --> 00:37:22,800
Speaker 1: But also like if you throw a bottle out or

649
00:37:22,840 --> 00:37:25,919
Speaker 1: something an animal might crawl in there and it can't

650
00:37:25,920 --> 00:37:28,080
Speaker 1: get back out. There's a lot of dead animals that

651
00:37:28,120 --> 00:37:30,680
Speaker 1: you'll find, like trapped inside a can or a bottle,

652
00:37:31,280 --> 00:37:34,400
Speaker 1: which is a really direct harm that your litter can

653
00:37:34,560 --> 00:37:37,960
Speaker 1: can leave on wildlife as well. For sure. I think

654
00:37:38,000 --> 00:37:41,319
Speaker 1: the takeaway here in terms of food is just like,

655
00:37:41,480 --> 00:37:45,080
Speaker 1: don't just don't throw anything on your walk or out

656
00:37:45,080 --> 00:37:47,520
Speaker 1: of your car. Nothing. Pack it in, pack it out

657
00:37:47,640 --> 00:37:51,320
Speaker 1: that set You've done everything right. Yeah, it's true. I

658
00:37:51,360 --> 00:37:53,520
Speaker 1: mean I'll never throw an apple core, an orange peel

659
00:37:53,600 --> 00:37:56,320
Speaker 1: or banana peel out anymore. And you know what I

660
00:37:56,360 --> 00:38:01,359
Speaker 1: always say, there is no apple core who I know? Well,

661
00:38:01,400 --> 00:38:03,800
Speaker 1: then I would throw out my uneaten portion of apple

662
00:38:03,880 --> 00:38:09,040
Speaker 1: that I could eat crazy, thew away, the stem in

663
00:38:09,080 --> 00:38:10,920
Speaker 1: the seeds. Maybe a new apple tree will grow in

664
00:38:10,920 --> 00:38:13,879
Speaker 1: its place. Yeah, I would love to grow an apple tree.

665
00:38:13,880 --> 00:38:17,600
Speaker 1: I love apples. Do we take Josh apple seed? Mm? Hm?

666
00:38:18,239 --> 00:38:20,719
Speaker 1: Did we take a break? All right, we'll be right

667
00:38:20,760 --> 00:38:25,640
Speaker 1: back with litter. Well, now we're on the road, driving

668
00:38:25,680 --> 00:38:28,240
Speaker 1: in your truck. Want to learn a thing or two

669
00:38:28,480 --> 00:38:34,799
Speaker 1: from Josh camp Chuck. It's stuff you should know, all right,

670
00:38:53,640 --> 00:38:56,000
Speaker 1: all right? The other thing that keep America beautiful does

671
00:38:56,840 --> 00:38:59,880
Speaker 1: is they try and figure out who these people are. Uh.

672
00:39:00,000 --> 00:39:04,759
Speaker 1: They've done phone surveys. Uh in the nineteen sixties, I

673
00:39:04,760 --> 00:39:07,440
Speaker 1: think sixty eight and the telephone survey, fifty percent of

674
00:39:07,480 --> 00:39:11,440
Speaker 1: Americans said that they littered. Fifteen percent said they did

675
00:39:11,480 --> 00:39:14,040
Speaker 1: in two thousand nine. Take that for what it is.

676
00:39:14,080 --> 00:39:17,200
Speaker 1: It's a phone survey. Uh. And then they also sort

677
00:39:17,200 --> 00:39:20,960
Speaker 1: of scope out areas near convenience stores and fast food

678
00:39:21,000 --> 00:39:24,200
Speaker 1: restaurants and city sidewalks and they just look at behavior

679
00:39:25,160 --> 00:39:27,680
Speaker 1: and uh. This in two thousand nine, that same study,

680
00:39:27,719 --> 00:39:31,760
Speaker 1: they found it was close to ten thousand disposal behaviors

681
00:39:31,800 --> 00:39:34,839
Speaker 1: that they looked at, and seventeen percent of those were

682
00:39:34,920 --> 00:39:41,080
Speaker 1: litter behaviors. And of those litter behaviors were on purpose. Yeah,

683
00:39:41,120 --> 00:39:44,760
Speaker 1: they call them notable intent. I'm throwing it out the window.

684
00:39:44,880 --> 00:39:50,680
Speaker 1: It's not something that flew out of my car by exactly. Um. Uh.

685
00:39:51,040 --> 00:39:53,920
Speaker 1: And the way that they came up with notable intent

686
00:39:54,120 --> 00:39:58,680
Speaker 1: was was there like a garbage can and easy access

687
00:39:58,840 --> 00:40:01,960
Speaker 1: or was there like an ash can and easy access

688
00:40:02,640 --> 00:40:05,359
Speaker 1: that was visible and the people saw it and just

689
00:40:05,440 --> 00:40:09,319
Speaker 1: didn't use it anyway. Um, there's a they in like

690
00:40:09,560 --> 00:40:13,240
Speaker 1: a significant portion of people who litter just just litter.

691
00:40:13,480 --> 00:40:17,400
Speaker 1: They they just do it anyway, even though there's plenty

692
00:40:17,440 --> 00:40:20,879
Speaker 1: of like trash cans or ash cans right there. Um.

693
00:40:21,040 --> 00:40:23,920
Speaker 1: And then the other percentage, the other fift percent of

694
00:40:23,920 --> 00:40:27,160
Speaker 1: people who littered did it in the context of their

695
00:40:27,200 --> 00:40:31,719
Speaker 1: not being a trash can nearby or uh slightly less

696
00:40:31,719 --> 00:40:34,319
Speaker 1: acceptable that, um there was one, but it was really

697
00:40:34,320 --> 00:40:38,000
Speaker 1: far away. It was all the way over there, you know. Well.

698
00:40:38,040 --> 00:40:40,680
Speaker 1: And the other one too is the uh what fell

699
00:40:40,719 --> 00:40:43,600
Speaker 1: into contacts and this is something it fell into context.

700
00:40:43,640 --> 00:40:45,440
Speaker 1: And this is something you sent some other stuff about,

701
00:40:45,840 --> 00:40:47,600
Speaker 1: is that people are more likely to litter when they

702
00:40:47,640 --> 00:40:51,720
Speaker 1: see other litter. Yeah, so like this place is dirty anyway.

703
00:40:52,080 --> 00:40:55,160
Speaker 1: There's people that, um that study this stuff, the psychology

704
00:40:55,160 --> 00:40:57,920
Speaker 1: of littering. There's a that that study I found was

705
00:40:57,960 --> 00:41:02,680
Speaker 1: I think from if I'm not mistaken, and they these

706
00:41:02,719 --> 00:41:09,799
Speaker 1: social psychologists um Cialdini, Reno and cal Green. They they

707
00:41:09,880 --> 00:41:13,040
Speaker 1: basically set people up by taking them to a parking

708
00:41:13,080 --> 00:41:18,359
Speaker 1: deck and the parking deck was either heavily littered or

709
00:41:18,440 --> 00:41:22,440
Speaker 1: it was spotless, right, so those were those are two variables.

710
00:41:23,080 --> 00:41:27,480
Speaker 1: And then in each instance the people saw somebody litter,

711
00:41:27,600 --> 00:41:30,880
Speaker 1: one of those instant litter flyers in either a heavily

712
00:41:30,920 --> 00:41:34,680
Speaker 1: heavily littered parking deck or a non litter parking deck,

713
00:41:35,239 --> 00:41:37,759
Speaker 1: and then they were sent back to their car, and

714
00:41:37,800 --> 00:41:42,080
Speaker 1: their car had that same flyer right, and so um

715
00:41:42,239 --> 00:41:44,600
Speaker 1: they were. They would see whether the people would litter

716
00:41:44,680 --> 00:41:46,719
Speaker 1: based on having seen somebody else do it, and then

717
00:41:46,719 --> 00:41:50,240
Speaker 1: whether it was a clean place or a heavily littered place.

718
00:41:50,480 --> 00:41:55,000
Speaker 1: And they found that seeing somebody litter in a heavily

719
00:41:55,040 --> 00:42:01,000
Speaker 1: littered place made them much much likelier to litter. But

720
00:42:01,080 --> 00:42:03,120
Speaker 1: that the people This is the I think the most

721
00:42:03,200 --> 00:42:07,719
Speaker 1: interesting thing. People who saw this person litter in a

722
00:42:08,239 --> 00:42:12,359
Speaker 1: in a clean parking deck were far less likely to litter.

723
00:42:12,440 --> 00:42:14,880
Speaker 1: They were the least likely to litter. So it's like

724
00:42:14,960 --> 00:42:20,160
Speaker 1: seeing somebody else violate this social norm strengthens an individual

725
00:42:20,280 --> 00:42:23,839
Speaker 1: sense of responsibility to not violate that norm themselves, Like

726
00:42:23,880 --> 00:42:26,960
Speaker 1: it ticks them off and makes them less likely to

727
00:42:26,960 --> 00:42:30,319
Speaker 1: to litter. So interesting. Yeah, so if you if you

728
00:42:30,360 --> 00:42:33,600
Speaker 1: have already littered place, it's it's going to attract more letter.

729
00:42:33,719 --> 00:42:38,080
Speaker 1: Litter begets litter. Yeah, I sort of littered recently in

730
00:42:38,120 --> 00:42:41,799
Speaker 1: a way on my way into the SEC Championship game

731
00:42:42,400 --> 00:42:45,200
Speaker 1: here in Atlanta. We were you know, like everybody was

732
00:42:45,239 --> 00:42:48,000
Speaker 1: walking with their beers towards the stadium and there was

733
00:42:48,040 --> 00:42:50,320
Speaker 1: one part where they funneled you through what I guess

734
00:42:50,440 --> 00:42:55,160
Speaker 1: was um Our Martha our Subway systems property, and so

735
00:42:55,200 --> 00:42:57,040
Speaker 1: there were people there are like, you can't take this

736
00:42:57,120 --> 00:43:00,279
Speaker 1: through there, and everyone was like, oh geez, And they

737
00:43:00,280 --> 00:43:05,680
Speaker 1: were probably beer cans on the sidewalk right there because

738
00:43:05,680 --> 00:43:08,959
Speaker 1: they were saying drop it right here, didn't have cans

739
00:43:09,040 --> 00:43:11,000
Speaker 1: or anything. And then on the way out, every single

740
00:43:11,040 --> 00:43:12,640
Speaker 1: one of those cans was gone. So they cleaned them

741
00:43:12,680 --> 00:43:15,040
Speaker 1: up during the game, and it was I guess part

742
00:43:15,080 --> 00:43:17,040
Speaker 1: of the plan, but it was very strange to just

743
00:43:17,760 --> 00:43:20,000
Speaker 1: throw your beer can on the ground because you're being

744
00:43:20,000 --> 00:43:24,279
Speaker 1: told to do it. Yeah, and also everyone you know,

745
00:43:24,360 --> 00:43:26,440
Speaker 1: power drinking at the end, like a bunch of dopes.

746
00:43:27,600 --> 00:43:30,920
Speaker 1: But but it ways to have a beer. But knowing

747
00:43:31,040 --> 00:43:35,120
Speaker 1: somebody's going to clean it up also influences the likeliness,

748
00:43:35,360 --> 00:43:38,279
Speaker 1: the likelihood that you're going to litter. It makes it.

749
00:43:38,280 --> 00:43:41,520
Speaker 1: It increases the likelihood you'll litter, like a park that

750
00:43:41,560 --> 00:43:44,080
Speaker 1: you know is maintained or whatever. Yeah, for me, it

751
00:43:44,239 --> 00:43:47,480
Speaker 1: was always a movie theater until somebody was finally like,

752
00:43:47,760 --> 00:43:50,280
Speaker 1: you still just don't leave it there, just throw it away,

753
00:43:50,480 --> 00:43:53,759
Speaker 1: like the trash can is right on the way. Yeah, exactly.

754
00:43:54,320 --> 00:43:57,239
Speaker 1: But before they had the big prominent trash cans, like

755
00:43:57,280 --> 00:44:02,160
Speaker 1: they had small, you know, slender, little trash. So you know,

756
00:44:02,320 --> 00:44:06,040
Speaker 1: but yeah, I did that for many, many years. Yeah.

757
00:44:06,080 --> 00:44:10,040
Speaker 1: I wondered about that today, if people would be more

758
00:44:10,080 --> 00:44:12,560
Speaker 1: responsible in movie theaters, if they didn't clean up between

759
00:44:12,640 --> 00:44:15,920
Speaker 1: movies and he walked in and saw a bunch of

760
00:44:16,000 --> 00:44:19,959
Speaker 1: old garbage, and you're like, oh, what's that doing here?

761
00:44:20,239 --> 00:44:21,880
Speaker 1: And if they said like, sorry, we're not clean up

762
00:44:21,880 --> 00:44:27,000
Speaker 1: your We're not your parents. Yeah, there's like a poorly

763
00:44:27,360 --> 00:44:31,840
Speaker 1: handmade sign from somebody that says this, this office is

764
00:44:31,880 --> 00:44:34,080
Speaker 1: not your your parents house. You got to do your

765
00:44:34,080 --> 00:44:36,839
Speaker 1: own dishes. I was always good at movie theaters because

766
00:44:36,880 --> 00:44:40,719
Speaker 1: I've always had a guilt of and Hodgeman talks about

767
00:44:40,719 --> 00:44:42,560
Speaker 1: it a lot is being aware of the work you

768
00:44:42,640 --> 00:44:45,719
Speaker 1: leave for others. Uh, And I know, And I even

769
00:44:45,760 --> 00:44:47,200
Speaker 1: had people to be like, they come in here and

770
00:44:47,239 --> 00:44:49,399
Speaker 1: clean it, and I was like, well, that's one less

771
00:44:49,440 --> 00:44:51,200
Speaker 1: popcorn back that they have to clean up. Then it's

772
00:44:51,239 --> 00:44:53,640
Speaker 1: like it's fine. Yeah, you shoul would argue with me

773
00:44:53,680 --> 00:44:56,480
Speaker 1: for doing it. Yeah, and you should never encourage somebody

774
00:44:56,520 --> 00:45:01,080
Speaker 1: to litter anyway, like you know it's true, Like, yeah,

775
00:45:01,160 --> 00:45:02,920
Speaker 1: I don't think I would have told you to just

776
00:45:02,960 --> 00:45:06,000
Speaker 1: go ahead and litter. Who knows. I don't. Just thought

777
00:45:06,000 --> 00:45:09,760
Speaker 1: it was weird. But the the I think to answer

778
00:45:09,840 --> 00:45:13,719
Speaker 1: your question though, based on the studies I've seen, the

779
00:45:13,840 --> 00:45:16,440
Speaker 1: more litter you found in a in a movie theater,

780
00:45:16,480 --> 00:45:18,560
Speaker 1: the more likely you'd be to just litter on top

781
00:45:18,640 --> 00:45:20,520
Speaker 1: of it. Well, I guess that makes sense, so it

782
00:45:20,560 --> 00:45:24,000
Speaker 1: could be self defeating again, it's you want to make

783
00:45:24,040 --> 00:45:29,680
Speaker 1: a strong social norm against littering, and then you want

784
00:45:29,760 --> 00:45:34,319
Speaker 1: to keep places clean, and then in that context, if

785
00:45:34,360 --> 00:45:37,360
Speaker 1: you see somebody littering, you're far less likely to litter.

786
00:45:37,480 --> 00:45:40,600
Speaker 1: That's the that was. That's like the perfect storm of

787
00:45:40,680 --> 00:45:44,200
Speaker 1: non littering from what I saw. But I have one

788
00:45:44,200 --> 00:45:47,080
Speaker 1: more thing, Chuck about the um that that two thousand

789
00:45:47,160 --> 00:45:49,440
Speaker 1: nine Keep America Beautiful study. You said that they were

790
00:45:49,440 --> 00:45:52,839
Speaker 1: hanging around like convenience stores and stuff like that, so

791
00:45:52,920 --> 00:45:55,719
Speaker 1: they would observe some people littering. I think they observed

792
00:45:55,760 --> 00:46:01,200
Speaker 1: like twenty three people littering. Um or no, they observed

793
00:46:01,239 --> 00:46:03,920
Speaker 1: like almost two thousand. I can't remember what the what

794
00:46:04,080 --> 00:46:06,600
Speaker 1: the point was no, no, okay, I'm sorry, I got this.

795
00:46:06,680 --> 00:46:10,320
Speaker 1: You're ready. So they would actually do these interventions, and

796
00:46:10,320 --> 00:46:12,160
Speaker 1: I think they did about a hundred of them, where

797
00:46:12,239 --> 00:46:15,359
Speaker 1: they would go up to people in the like convenience

798
00:46:15,400 --> 00:46:17,680
Speaker 1: store or in the parking lot or whatever and just

799
00:46:17,719 --> 00:46:20,560
Speaker 1: ask them about littering. And some of those people, I

800
00:46:20,560 --> 00:46:24,800
Speaker 1: think twenty three of them, they had just seen litter,

801
00:46:25,120 --> 00:46:27,399
Speaker 1: and they didn't go confront the people about littering. They

802
00:46:27,440 --> 00:46:30,520
Speaker 1: just went and surveyed them and pretend they hadn't seen it.

803
00:46:31,120 --> 00:46:33,960
Speaker 1: So they would ask everybody, have you littered within the

804
00:46:34,000 --> 00:46:37,400
Speaker 1: last month, And like eight of those twenty three people

805
00:46:37,440 --> 00:46:40,759
Speaker 1: said no, I have not littered in the last last month.

806
00:46:40,920 --> 00:46:43,960
Speaker 1: Even though this the studied person had just seen them litter.

807
00:46:44,080 --> 00:46:46,040
Speaker 1: They lied about it. So it makes you wonder about

808
00:46:46,040 --> 00:46:48,960
Speaker 1: the veracity of that phone survey you mentioned earlier. I

809
00:46:48,960 --> 00:46:51,000
Speaker 1: wonder if they said no, I haven't littered in the

810
00:46:51,000 --> 00:46:54,520
Speaker 1: past month except for just form no no, no, what

811
00:46:54,600 --> 00:46:59,600
Speaker 1: do you say, sir? Uh to button up the cigarette

812
00:46:59,600 --> 00:47:04,560
Speaker 1: butt thinging? Uh? They are plastic as well. They're not biodegradable.

813
00:47:04,880 --> 00:47:08,440
Speaker 1: They're made of cellulose acetate and they take decades to

814
00:47:08,440 --> 00:47:13,600
Speaker 1: break down. And it's also tobacco products which has nicotine

815
00:47:13,680 --> 00:47:17,880
Speaker 1: and arsenic and heavy metals and all kinds of nasty toxins,

816
00:47:17,920 --> 00:47:20,800
Speaker 1: and those get in the soil, those leach into the ground,

817
00:47:20,800 --> 00:47:23,920
Speaker 1: those fall into a waterway, those getting made into a

818
00:47:23,960 --> 00:47:27,600
Speaker 1: bird's nest, and it's poison. Uh. There was a researcher

819
00:47:27,640 --> 00:47:31,239
Speaker 1: that did an experiment where they put one cigarette butt

820
00:47:31,680 --> 00:47:34,200
Speaker 1: in a gallon of water. Uh, and that was enough

821
00:47:34,239 --> 00:47:35,960
Speaker 1: to kill half of the fish in side. Just a

822
00:47:35,960 --> 00:47:38,799
Speaker 1: cigarette butt floating and dissolving in there, right, and not

823
00:47:38,920 --> 00:47:42,120
Speaker 1: just from the plastic from like the nicotine, the heavy metals,

824
00:47:42,120 --> 00:47:44,319
Speaker 1: the arsenic, all the stuff that gets trapped into a

825
00:47:44,400 --> 00:47:47,320
Speaker 1: used cigarette, but once the full cigarette has been smoked

826
00:47:47,360 --> 00:47:53,560
Speaker 1: through it, Yeah, yeah, kills the fish, kills half of them.

827
00:47:53,600 --> 00:47:57,120
Speaker 1: That's uh. So if you hear the person with the

828
00:47:57,920 --> 00:47:59,960
Speaker 1: keep America Beautiful sticker on your car and you're throwing

829
00:48:00,000 --> 00:48:01,680
Speaker 1: your cigarette butts out of the the windows you don't like

830
00:48:01,719 --> 00:48:05,080
Speaker 1: to smell, just do a little soul searching. Um Dave

831
00:48:05,120 --> 00:48:08,680
Speaker 1: turned up a company called Green Butts that has come

832
00:48:08,760 --> 00:48:11,799
Speaker 1: up with um truly compost herbal cigarette butts made of

833
00:48:11,840 --> 00:48:16,280
Speaker 1: like manila, hemp and flax and I think cotton, and

834
00:48:16,360 --> 00:48:19,520
Speaker 1: they have it so ready that tobacco companies would would

835
00:48:19,560 --> 00:48:21,759
Speaker 1: simply have to buy them and put them in their

836
00:48:21,800 --> 00:48:25,440
Speaker 1: assembly lines, make no change whatsoever. And apparently it hasn't

837
00:48:25,480 --> 00:48:29,160
Speaker 1: taken off. I'm guessing because of cost. That would be

838
00:48:29,200 --> 00:48:32,440
Speaker 1: my guest too. Yeah, if you want to fix littering,

839
00:48:33,320 --> 00:48:37,280
Speaker 1: stop littering, that's step one. You can go a step

840
00:48:37,280 --> 00:48:40,319
Speaker 1: further and pick up trash. Yeah. Step We have a

841
00:48:40,320 --> 00:48:43,799
Speaker 1: program in our neighborhood, uh, like an official program where

842
00:48:43,880 --> 00:48:45,880
Speaker 1: neighbors get together like once a month and do it.

843
00:48:46,520 --> 00:48:49,239
Speaker 1: Uh and there and I donate my pickup truck to

844
00:48:49,440 --> 00:48:52,520
Speaker 1: UH to haul the trash away. Uh. And we pick

845
00:48:52,560 --> 00:48:55,040
Speaker 1: stuff up on our walks all the time. And you can.

846
00:48:55,360 --> 00:48:57,880
Speaker 1: The Swedes invented something called plogging, which is where you

847
00:48:57,920 --> 00:49:00,640
Speaker 1: take it back with you when you jog and pick

848
00:49:00,680 --> 00:49:03,640
Speaker 1: stuff up, so you know, pick stuff up if you can.

849
00:49:04,200 --> 00:49:07,239
Speaker 1: I do that sometimes and every time Maggy with you

850
00:49:07,239 --> 00:49:11,280
Speaker 1: want to walk. Yeah, more like a like a grocery bag.

851
00:49:12,520 --> 00:49:15,160
Speaker 1: And I think there's still bottle deposit laws here and

852
00:49:15,160 --> 00:49:17,800
Speaker 1: there too, right, Yeah, there's like ten states that haven't,

853
00:49:17,840 --> 00:49:21,120
Speaker 1: which I mean that's good. That's definitely a start. Ten

854
00:49:21,160 --> 00:49:22,880
Speaker 1: states in Guam. I'm sorry, I didn't mean to leave

855
00:49:22,920 --> 00:49:25,560
Speaker 1: you guys out um and that that I mean, that's

856
00:49:25,560 --> 00:49:27,600
Speaker 1: a good way to go. It's getting back to reusable

857
00:49:27,640 --> 00:49:30,120
Speaker 1: and the fact that that that structure is already there

858
00:49:30,200 --> 00:49:32,840
Speaker 1: means you can easily adopt it in other states. You

859
00:49:32,920 --> 00:49:35,240
Speaker 1: just get it started, and some of those states probably

860
00:49:35,320 --> 00:49:38,560
Speaker 1: used to do it before. But I think the upshot

861
00:49:38,600 --> 00:49:40,680
Speaker 1: of the whole thing is is like until we do

862
00:49:40,840 --> 00:49:47,200
Speaker 1: something about the source of litter, which is actually disposable packaging,

863
00:49:47,680 --> 00:49:50,360
Speaker 1: until we do something about that, we're always going to

864
00:49:50,400 --> 00:49:52,759
Speaker 1: have a problem with it. Like it's just never going

865
00:49:52,800 --> 00:49:56,120
Speaker 1: to go away. Because even if you don't mean to litter,

866
00:49:56,200 --> 00:49:58,960
Speaker 1: sometimes it just happens. Like if you're a garbage trucker,

867
00:49:59,320 --> 00:50:02,360
Speaker 1: you're hauling your your trash in the back of a

868
00:50:02,360 --> 00:50:04,560
Speaker 1: pickup truck and some of it flies out like that

869
00:50:04,560 --> 00:50:06,520
Speaker 1: that counts as litter, and that happens quite a bit.

870
00:50:06,640 --> 00:50:10,440
Speaker 1: So we need to focus start focusing more on the

871
00:50:10,480 --> 00:50:13,960
Speaker 1: supply side, not just the consumer side. I slung a

872
00:50:14,080 --> 00:50:15,759
Speaker 1: Christmas tree out of the back of my truck the

873
00:50:15,800 --> 00:50:18,560
Speaker 1: other day under the middle of memorial truck. That's litter.

874
00:50:19,040 --> 00:50:21,040
Speaker 1: I pulled up to a stoplight and the people were

875
00:50:21,040 --> 00:50:22,279
Speaker 1: honking at me next door, and I was like, what

876
00:50:22,840 --> 00:50:24,919
Speaker 1: he said, you dropped your tree back there? I went, oh,

877
00:50:24,960 --> 00:50:27,759
Speaker 1: thank you. All right, You're like, well, go get it.

878
00:50:28,960 --> 00:50:32,560
Speaker 1: I'll be I'll wait here. Yeah, it was. And Memorial

879
00:50:32,640 --> 00:50:35,239
Speaker 1: drives busy and fast. What a way to go out

880
00:50:35,719 --> 00:50:38,319
Speaker 1: getting hit by a car pulling my old Christmas tree

881
00:50:38,320 --> 00:50:42,920
Speaker 1: out of the very Christmas there's the headline, little known podcaster.

882
00:50:43,360 --> 00:50:46,920
Speaker 1: And I was trying to do the right thing. You

883
00:50:46,920 --> 00:50:50,200
Speaker 1: got anything else? I got nothing else. Don't litter. That's it.

884
00:50:50,480 --> 00:50:52,800
Speaker 1: That's a good one to wrap it up with, Chuck.

885
00:50:53,520 --> 00:50:57,600
Speaker 1: And since Chuck said don't litter, it's time for a listener, ma'am,

886
00:51:01,080 --> 00:51:04,239
Speaker 1: I'm gonna call this uh funny bone follow up. And

887
00:51:04,280 --> 00:51:08,200
Speaker 1: this is from who is this from? A doctor of

888
00:51:08,239 --> 00:51:12,200
Speaker 1: physical therapy? Has answers? Chuck has said when he goes

889
00:51:12,239 --> 00:51:15,160
Speaker 1: to get a massage and the massage therapist rolls something

890
00:51:15,200 --> 00:51:17,680
Speaker 1: up and down, that his hand curls up and and

891
00:51:17,719 --> 00:51:19,279
Speaker 1: you were thinking this head to do with a nerve.

892
00:51:19,600 --> 00:51:23,680
Speaker 1: Actually it's because of a length tension relationship with the

893
00:51:23,800 --> 00:51:27,359
Speaker 1: flex or muscles in your arm. The tendons of your

894
00:51:27,360 --> 00:51:29,240
Speaker 1: forearm muscles are very long and run through the carpal

895
00:51:29,239 --> 00:51:31,880
Speaker 1: tunnel to allow tension to be applied through the tendon

896
00:51:31,920 --> 00:51:34,560
Speaker 1: when you want to bind your wrist. This also means, however,

897
00:51:34,600 --> 00:51:38,200
Speaker 1: that when enough pressure is applied to the muscle belly. Uh,

898
00:51:38,200 --> 00:51:42,400
Speaker 1: I love that term. That's correct, it causes emotion similar

899
00:51:42,440 --> 00:51:44,839
Speaker 1: to a muscle contraction that allows for the wrist to bend.

900
00:51:45,719 --> 00:51:49,040
Speaker 1: You also question why cubital tunnel syndrome and tennis elbow

901
00:51:49,040 --> 00:51:52,160
Speaker 1: weren't called the same thing, because they're very different. Cubital

902
00:51:52,160 --> 00:51:55,560
Speaker 1: tunnel syndrome refers specifically to the ulnar nerving and trapped

903
00:51:55,560 --> 00:51:58,480
Speaker 1: by tissues are swelling within the cubical tunnel, whereas tennis

904
00:51:58,520 --> 00:52:02,600
Speaker 1: elbow is act. An injury to the extensor tendons in

905
00:52:02,600 --> 00:52:06,640
Speaker 1: your forearm is a tendonitis. I see. I would explain

906
00:52:06,680 --> 00:52:11,600
Speaker 1: that Samantha the doctor of physical therapy in Northern Wisconsin.

907
00:52:12,320 --> 00:52:15,960
Speaker 1: Muscle Belly and my dreaming Is that really? What was

908
00:52:16,040 --> 00:52:20,440
Speaker 1: just said? Muscle Belly our new band that's pretty like

909
00:52:20,520 --> 00:52:22,680
Speaker 1: daft punk, just the two of us. That's all right.

910
00:52:22,680 --> 00:52:27,160
Speaker 1: You be muscle, I'd be Belly, or like Sparks. Yeah.

911
00:52:27,280 --> 00:52:29,640
Speaker 1: I love how the Sparks you are now. So yeah,

912
00:52:29,640 --> 00:52:31,920
Speaker 1: I was just listening to number one song and heave

913
00:52:31,880 --> 00:52:35,200
Speaker 1: an album before this clean. I think they're touring now again.

914
00:52:35,920 --> 00:52:37,759
Speaker 1: They are, as a matter of fact, chucking they're coming

915
00:52:37,760 --> 00:52:40,399
Speaker 1: to Atlanta. Are you going? I don't believe we're gonna

916
00:52:40,400 --> 00:52:44,960
Speaker 1: be around to make it, muscle belly. If you want

917
00:52:44,960 --> 00:52:47,280
Speaker 1: to be like Samantha and let us know some great

918
00:52:47,280 --> 00:52:50,480
Speaker 1: new term plus a bunch of other physiological information, we

919
00:52:50,560 --> 00:52:52,719
Speaker 1: love that kind of thing. You can send it to

920
00:52:52,800 --> 00:52:59,279
Speaker 1: us via email at stuff podcast at iHeart radio dot com.

921
00:52:59,320 --> 00:53:01,680
Speaker 1: Stuff you Should Know is a production of I heart Radio.

922
00:53:02,200 --> 00:53:04,719
Speaker 1: For more podcasts my heart Radio, visit the i heart

923
00:53:04,760 --> 00:53:07,680
Speaker 1: Radio app, Apple Podcasts, or wherever you listen to your

924
00:53:07,680 --> 00:53:11,320
Speaker 1: favorite shows. H