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Speaker 1: Hi, friends, It's Josh. For this week's Select I've chosen

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Speaker 1: our October twenty twenty one episode a noise pollution, which

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Speaker 1: is actually an overlooked hazard to our health and it's

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Speaker 1: even been shown to cause death in some cases. Plus

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Speaker 1: it guest stars the worst thing in the world, the

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Speaker 1: gas powered leaf blower, and we get to the bottom

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Speaker 1: of why they're so terrible. Plus there's plenty more amazing,

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Speaker 1: action packed stuff, So kick back and enjoy this episode

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Speaker 1: on noise pollution.

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Speaker 2: Welcome to Stuff You Should Know, a production of iHeartRadio.

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

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Speaker 1: there's Charles W Chuck Bryant, and there's Jerry over there,

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Speaker 1: and this is Stuff you Should Know.

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Speaker 2: The Can I tell people what just happened?

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Speaker 1: Sure?

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Speaker 2: After going on fourteen.

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Speaker 1: Years coming up? Yeah, I guess.

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Speaker 2: In April Jerry hit record and you went, Hey, everybody, Wait,

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Speaker 2: I've been having a.

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Speaker 1: Lot of trouble with my brain lately. I think I'm

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Speaker 1: just Hey, I think you're doing great. I don't know

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Speaker 1: if I told you. Thank you. I think you're doing

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Speaker 1: great too. I don't know if I told you, But

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Speaker 1: I had trouble remembering how to what six plus seven

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Speaker 1: added together to? Did I tell you that the other day?

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Speaker 2: That sounds familiar?

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Speaker 1: That really bothered me. Man, Yeah, and that's like my

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Speaker 1: favorite number, and it's like I just couldn't do it.

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Speaker 2: I was putting my daughter to bed the other night

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Speaker 2: and as she was going to sleep, literally falling asleep, daddy,

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Speaker 2: what's four plus four?

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Speaker 1: Eight?

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Speaker 2: What's six plus two? It's also eight?

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Speaker 1: Okay.

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Speaker 2: She's learning math, and you know that first stuff you

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Speaker 2: learn is literally just that simple addition. Yeah, and it's

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Speaker 2: just funny to think about, like, wow, that's what's on

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Speaker 2: her mind right now.

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Speaker 1: Yeah. But also she's learning acceptance too. It's unquestioning.

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Speaker 2: Can I tell people how you spelled this document that

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Speaker 2: you sent my way for this noise pollution episode?

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Speaker 1: Sure? Boy, you're just laying it all out there, aren't you.

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Speaker 2: It was fun because it looked like a heavy metal band.

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Speaker 2: It was n O I ze p O I think

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Speaker 2: it was p O l l U s h U

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Speaker 2: N Yeah, And looking at it on paper was like, oh, man,

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Speaker 2: that's that's a good bad band.

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Speaker 1: Yeah name it is like that's a that's a good

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Speaker 1: name for a made up band in a movie.

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Speaker 2: Like Wild stallions, Yes, Bill and Ted.

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Speaker 1: Yeah, although that's tough to compete with, you know it is.

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Speaker 1: I also think we should, uh, we should give a

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Speaker 1: little CoA here. I think it's one impossible for you

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Speaker 1: and I not to turn into old men complaining about

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Speaker 1: like loud music and loud mufflers and stuff in this episode.

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Speaker 1: So it's gonna happen. I think everybody who knows us

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Speaker 1: and saw the title this one knew it was gonna happen.

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Speaker 1: But let's just put it on the table now.

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Speaker 2: Well, and it's also funny you mentioned this because I

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Speaker 2: did mention noise pollution. I introduced that concept to my

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Speaker 2: daughter the other day and said, you know. She was like, well,

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Speaker 2: what's that And I said, well, it's as bad as

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Speaker 2: trash on the road, but it's noise that's doing it

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Speaker 2: and you should be aware of it. And she was like,

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Speaker 2: oh okay. And I guess it never occurred to me

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Speaker 2: that like loud noises for kids, unless it's something that

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Speaker 2: really bothers them, is just part of life.

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Speaker 1: Sure, it definitely seems to become more bothersome the older

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Speaker 1: you get.

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Speaker 2: Absolutely.

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Speaker 1: I think I don't know why, but I'm going to

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Speaker 1: hypothesize that it's because you grow to learn that it

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Speaker 1: doesn't have to be that way, and you come to

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Speaker 1: really resent the things and the people who are making

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Speaker 1: it so.

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Speaker 2: Yeah, and I think that's why people One reason people

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Speaker 2: retire to the country or something like that, if they've

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Speaker 2: lived in the city their whole life. M h. Just

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Speaker 2: a little more tranquil, perhaps even bucolic lifestyle. Yeah, quieter,

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Speaker 2: and there's a lot of science behind it. It's not

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Speaker 2: just like, oh, I don't want to hear those noises,

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Speaker 2: as you will see throughout this episode, it is it's bad.

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Speaker 1: For your health. Hey, speaking of retirement, have you seen

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Speaker 1: that documentary on the villages I have? It is bonkers?

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Speaker 2: Yeah, I saw it actually when I had COVID, I

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Speaker 2: went on a documentary binge and that was one of them.

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Speaker 1: Man, it was like one of the most disturbing documentaries

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Speaker 1: I've ever seen, and I've seen like Dear Zachary, and

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Speaker 1: somehow it was like up there with it.

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Speaker 2: It was good man that I mean, I don't want

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Speaker 2: to give anything, but the one guy that was you know,

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Speaker 2: the sort of discos too. Sure, Yeah, that was It's

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Speaker 2: kind of funny at first, but then that got really sad. Too, Yes,

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Speaker 2: a lot of layers.

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Speaker 1: And all of it was incredibly sad.

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Speaker 2: I was highly recommended.

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Speaker 1: Yeah, just bizarre man. And then I was watching the

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Speaker 1: credits and I saw Darren Aronofsky was an executive producer.

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Speaker 1: I'm like, okay, nothing suddenly clicked a little more.

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Speaker 2: I thought a great idea for a movie would be

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Speaker 2: a setting like that. You couldn't call it that because

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Speaker 2: it's sure proprietary, but the town set it. Yeah, a

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Speaker 2: setting just like that where they wake up one day

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Speaker 2: and there's been a murder and then, like you know,

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Speaker 2: Kyle McLaughlin, it's kind of a twin peaksy thing, you know,

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Speaker 2: the stranger from a strange land comes in to investigate

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Speaker 2: a murder in a very unlikely place and all the

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Speaker 2: sort of weirdos there. I think that would be a

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Speaker 2: cool movie, yeah, or TV show.

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Speaker 1: Sure, well, I mean that is twin Peaks basically, right.

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Speaker 2: But you could if you said it in a retirement

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Speaker 2: community in Florida, people wouldn't recognize.

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Speaker 1: You could just walk away, dust in your hands off,

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Speaker 1: like job well done.

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Speaker 2: There's plenty of things that have done that.

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Speaker 1: It's not just twin Peaks, sure, I know, just nobody

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Speaker 1: did it better than twin peaks, I think.

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Speaker 2: Agreed, all right, So noise pollution. I think the fact

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Speaker 2: of the podcast to me came right up front in

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Speaker 2: that I never thought of the fact that a decibel

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Speaker 2: was a tenth of a bull or a bell.

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Speaker 1: Which his name is DESI right there. Yeah, I know,

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Speaker 1: I never thought of it either, because you never hear

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Speaker 1: of any other variation, and it's like one decibel, ten decibels,

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Speaker 1: one hundred decibels, you know, and apparently a bowl or

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Speaker 1: a bell b e l is named after Alexander Graham

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Speaker 1: Bell too.

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Speaker 2: Didn't know that either.

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Speaker 1: And the reason why we why a decibel is used,

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Speaker 1: which is one tenth of a bell, is because a decibel,

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Speaker 1: a one tenth of a bell difference in sound is

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Speaker 1: the lowest, the smallest difference that humans can detect, right,

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Speaker 1: So we trade in decibels here on the level.

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Speaker 2: And we trade in an algorithm when we talk decibels,

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Speaker 2: because it's one of those weird things where it's not

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Speaker 2: like one hundred decibels, is it twice as loud as

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Speaker 2: fifty decibels, it's spit into an equation that's actually one

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Speaker 2: hundred thousand times as loud.

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Speaker 1: Yeah, So like ten decibels. The difference between ten decibels

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Speaker 1: and twenty decibels is twenty decibels is ten times louder.

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Speaker 1: The difference between ten decibels and thirty decibels thirty decibels

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Speaker 1: is one hundred times louder.

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Speaker 2: It's long riz right, and zero dbs as we'll call them.

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Speaker 2: That is the threshold of human hearing period, and one

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Speaker 2: hundred and forty decibels is about where you can start

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Speaker 2: to experience literal physical pain from a sound.

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Speaker 1: Yeah, I saw between one hundred and twenty and one

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Speaker 1: hundred and forty.

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Speaker 2: Yeah, it ranges like I mean, I've been to some

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Speaker 2: loud concerts and small venues.

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Speaker 1: Yeah, Dinosaur Junior at Variety Theater was it for me.

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Speaker 2: I was just about to say, Dinosaur Junior. They're one

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Speaker 2: of the legendary loud bands.

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Speaker 1: It was insane.

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Speaker 2: It is super loud. But it's not like I don't

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Speaker 2: remember feeling pain, but I do remember feeling discomforted. A

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Speaker 2: couple of these where I was like, jeezu, this is like,

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Speaker 2: I like my music loud, but this is a little.

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Speaker 1: Much, dude. Yeah, Like I don't wear earplugs. I wore

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Speaker 1: earplugs in that, and I was like, I'm saving myself

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Speaker 1: right now. It was so loud, and I meant to

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Speaker 1: say Variety Playhouse, not Variety Theater.

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Speaker 2: Yeah, because we played there before. We don't want to disrespect. No,

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Speaker 2: I know, you know they've but all of this to say,

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Speaker 2: God bless j Mascus.

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Speaker 1: Yeah, no, it's great, but it was really loud.

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Speaker 2: What about this conversation that we're having. What is that?

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Speaker 1: Well, it depends a normal conversation something around sixty decibels.

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Speaker 1: And I saw that. That's people standing about a meter

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Speaker 1: apart speaking without raising their voices. That's sixty decibels right there.

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Speaker 1: For a reference.

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Speaker 2: What about a car?

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Speaker 1: Cars are about ten times louder to ten hundred to

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Speaker 1: one thousand times louder than normal conversation, depending on the

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Speaker 1: car of the truck, between seventy and ninety decibels.

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Speaker 2: What about an airplane or cat siren?

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Speaker 1: So you would think, okay, a normal conversation is sixty decibels,

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Speaker 1: an airplane being one hundred and twenty decibels is twice

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Speaker 1: as loud. No, my friend, it's one hundred thousand. It's

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Speaker 1: one hundred thousand times louder. An airplane is one hundred

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Speaker 1: thousand times louder than a normal conversation if it reaches

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Speaker 1: one hundred and twenty decibels.

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Speaker 2: All right, if you've ever been on a tarmac, like

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Speaker 2: a live tarmac and herd a plane kind of landing

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Speaker 2: or taking off, you that's just some loud stuff. Yes,

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Speaker 2: And that's why they wear those cans on their ears.

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Speaker 1: Yeah, they and they definitely should because we're starting to

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Speaker 1: realize that there's all sorts of hearing loss besides the

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Speaker 1: traditional ones that you can pick up on a regular

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Speaker 1: hearing test. There's something called hidden hearing loss that we're

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Speaker 1: just starting to get our eyes or mind around where

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Speaker 1: the structure of your hearing apparatus in your ear, the

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Speaker 1: little cilia that's almost like a venus flytrap trigger hair,

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Speaker 1: but for sound instead, like those things can be intact,

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Speaker 1: but the neurons that form the chain between your ear

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Speaker 1: and your brain can be permanently damaged, so that the

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Speaker 1: sound that gets to your brain is garbled or are

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Speaker 1: partially missing. And that's a huge thing that can happen

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Speaker 1: at much lower intensity than we understood before. And speaking

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Speaker 1: of intensity, I think we should say real quick a

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Speaker 1: decibel to us humans we basically talk in decibels as

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Speaker 1: like a measure of volume, because that's what it appears

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Speaker 1: to like us, like an increase in decibels is an

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Speaker 1: increase in the volume of the sound. But really what

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Speaker 1: a decibel is measuring is the intensity of the disturbance

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Speaker 1: of an air of the air that something has made.

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Speaker 1: So if you're really close to that disturbance, it's going

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Speaker 1: to be a very intense exposure to your ear. If

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Speaker 1: you're further away, it's going to be a much less

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Speaker 1: intense intense exposure because it kind of dissipates over distances.

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Speaker 1: But to you, it's just registering is a difference in volume,

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Speaker 1: where really it's a difference in the intensity of the

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Speaker 1: wave that's being produced that's traveling through the air.

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Speaker 2: That's right, And uh, this is all sound, Yes, that's

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Speaker 2: not noise. Noise is different. Noise is what we're talking

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Speaker 2: about mainly, and noise is classified as unwanted sound and.

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Speaker 1: That simple enough.

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Speaker 2: Yeah, that can vary depending on who you are. Obviously,

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Speaker 2: you know, the sound of your significant other's voice after

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Speaker 2: forty years may be noise to you asking for some tea.

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Speaker 2: The sound of a Harley Davidson motorcycle being rebbed up

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Speaker 2: in front of your house might be noise. Or those

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Speaker 2: those blowers that used to hate and how they give

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Speaker 2: you love and use.

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Speaker 1: I still don't love it, and I went battery powered,

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Speaker 1: but it's still even while I'm using, I'm like, I'm

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Speaker 1: a terrible person.

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Speaker 2: But you get it done quickly, probably right, so quick.

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Speaker 1: So quick. I'm like mincing and prancing, just getting a ton.

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Speaker 2: And there's a lot of kinds of different noise sometimes,

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Speaker 2: Like let's say you work in a in a machine

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Speaker 2: shop or something and you use a machine, Like the

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Speaker 2: sound the machine makes is like it's not necessary, but

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Speaker 2: it's a byproduct. It's a result of the machine working correctly.

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Speaker 2: It's not like, well, let's just make this thing loud.

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Speaker 2: It's like, well, I'm sorry, a jackammer is going to

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Speaker 2: be loud because that's just the way it goes. You

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Speaker 2: can our jackammer episode is fantastic. So that sound isn't

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Speaker 2: necessarily noise, but the intensity and repetition of that sound

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Speaker 2: makes it becomes noise.

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Speaker 1: Yeah, yeah, it's an unwanted intensity, or it can just

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Speaker 1: the sound existing itself, like you're saying, like a leaf

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Speaker 1: blower just an unwanted existence of sound. So either way,

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Speaker 1: the operative thing is it's unwanted sound. That's the key, right, Yeah, And.

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Speaker 2: This is another cool fact of the episode, I think,

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Speaker 2: is that they think that as late as through the

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Speaker 2: nineteen forties and into nineteen fifty, natural sounds were still

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Speaker 2: the dominant sounds that you heard, and then things really changed.

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Speaker 1: Yeah, because there's a there's a big qualifier that a

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Speaker 1: lot of researchers make that and not everybody does, But

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Speaker 1: that noise is by definition human caused, right, like either

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Speaker 1: we're yelling or whatever, or one of the machines that

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Speaker 1: we've created is making noise. But that you wouldn't say,

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Speaker 1: like the sound of that waterfall is noise, Like we

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Speaker 1: don't think of like natural sounds typically as noise. It's

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Speaker 1: just sounds. And as we'll see, it's probably because we

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Speaker 1: have been living, like our species has been living around

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Speaker 1: those sounds and has definitively excluded them as threatening, so

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Speaker 1: that they're they don't they don't produce like an irritation

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Speaker 1: in us. They just are sound, almost regardless of how

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Speaker 1: intense they.

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Speaker 2: Are, right, And that and again that irritation is subjective

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Speaker 2: because that rock concert that I enjoy. Someone else might

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Speaker 2: call that noise that that Space Shuttle launch that is

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Speaker 2: super loudud might be noise to some people, but to others,

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Speaker 2: you know, it's the same sound, but they they don't

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Speaker 2: think of it as noise because they're excited and exhilarated

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Speaker 2: in the moment to see and hear that thing.

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Speaker 1: Yeah. So, you know, the other night, the inspiration for

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Speaker 1: Crew came back on the Dragon capsule. Did you watch that?

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Speaker 2: No? Did you see it live?

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Speaker 1: We didn't see it because they splashed down in the Atlantic,

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Speaker 1: but we heard the sonic boom it made when it

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Speaker 1: came back into the atmosphere over Florida. It was a

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Speaker 1: stounding that's awesome.

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Speaker 2: Did you see that doasonic boom? No? I didn't.

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Speaker 1: Oh, it's really good. It starts off like, oh god,

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Speaker 1: this is not good. This is like a terrible corporate ad,

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Speaker 1: and then it really starts to find its feet. It's

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Speaker 1: crazy how it evolves over like just the first couple episodes.

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Speaker 2: I gotta see it.

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Speaker 1: It's good. It's definitely worth seeing.

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Speaker 2: What other kinds of noise you got? Industrial noise, which

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Speaker 2: that's classified as kind of from the beginning of the

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Speaker 2: p process all the way to the end of any

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Speaker 2: kind of industrial process, and that's basically called continuous noise

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Speaker 2: from you know, raw materials all the way to the

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Speaker 2: to the end disposal of whatever byproducts can usually cause

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Speaker 2: a lot of racket.

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Speaker 1: Yeah. So like you know, like like a generator humming

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Speaker 1: or something like that, there's not a lot of variation

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Speaker 1: and intensity. It's basically this hum or steam being released,

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Speaker 1: or even like a rhythmic like a like something being

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Speaker 1: like hammered, No, not hammered. That's a different that's called

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Speaker 1: the impulsive noise, but just something that doesn't really vary.

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Speaker 1: It's just kind of a monotonous sound. That's that's this

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Speaker 1: kind of a subcategory called continuous sound. And it just

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Speaker 1: so happens that most industrial processes are continuous in nature.

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Speaker 2: Right, whereas a train going by your house, or a

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Speaker 2: plane flying or a car going by or a siren

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Speaker 2: is intermittent.

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Speaker 1: Yeah. And then also you could probably say, like if

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Speaker 1: you held the trigger down on a backpack leaf blower,

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Speaker 1: which again is the worst thing that anyone's ever invented,

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Speaker 1: but if you held it down, that would be a

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Speaker 1: continuous sound for the whole time it was going. But

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Speaker 1: no one does that ever, they just rev in this

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Speaker 1: arrhythmic pattern that your brain is just giving its all

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Speaker 1: to try to try to find a pattern in. And

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Speaker 1: so you get worn out and irritated so quickly because

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Speaker 1: of those things, because they don't follow rhyme a reason.

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Speaker 1: And in conjunction with that, it's an intermittent sound, which is,

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Speaker 1: from what I can tell, one of the worst sounds

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Speaker 1: for us.

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Speaker 2: Right. And then you've also got community noise, which is

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Speaker 2: just people noise. I think the leaf blowers are thrown

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Speaker 2: into that lawnmowers, you know, if you got a festival

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Speaker 2: in your neighborhood, or fireworks on the Fourth of July,

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Speaker 2: or people playing their music in their cards or their houses.

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Speaker 2: This is all just sort of people generated community sound.

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Speaker 1: Yeap. So those are basically the three categories that I saw.

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Speaker 1: Industrial trafficking, community.

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Speaker 2: Should we take a break?

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Speaker 1: I think we should.

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Speaker 2: All right, We'll be right back. I gotta go quiet

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Speaker 2: down that racket outside. I'll be right back.

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Speaker 1: Okay, Do you finished shaking your fist at those teenagers

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Speaker 1: on your lawn.

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Speaker 2: I'm lucky because we don't have loud. We don't have

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Speaker 2: one neighbor on one side, and our neighbor beside us

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Speaker 2: is pretty quiet, but I do live near and I've

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Speaker 2: talked about it before, a pretty main road and you

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Speaker 2: kind of get used to it. But I also yearn

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Speaker 2: you know, to be a few blocks in. But you know,

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Speaker 2: you can't pick up your house and move it. So

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Speaker 2: what are you gonna do? You get used to it.

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Speaker 1: You can, but it's really expensive.

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Speaker 2: Well, no, that is true. You can move a house sometimes.

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Speaker 1: Didn't we do an episode on that once?

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Speaker 2: How to Move a House?

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Speaker 1: Yeah?

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Speaker 2: I think I don't know if we did one just

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Speaker 2: on that. It may have been like historic districts or something.

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Speaker 2: I don't know.

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Speaker 1: Okay.

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Speaker 2: And by the way, that episode we couldn't think of

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Speaker 2: the other day was crumple Zones.

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Speaker 1: Oh boy, so we did do a whole episode on

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Speaker 1: crumple zones.

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Speaker 2: We did.

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Speaker 1: Boy, we were scraping the bottom of the barrel there.

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Speaker 1: But I remember that being an interesting episode though.

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Speaker 2: It was totally interesting.

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Speaker 1: Okay, Well that's the stuff you should know, way, isn't it?

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Speaker 2: Chunk it is? Indeed, should we talk about hearing damage?

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Speaker 1: Yeah, So, like I was saying, there's that kind of

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Speaker 1: new type of hearing damage that we're wrapping our minds

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Speaker 1: around that is like the death of the neurons that

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Speaker 1: are supposed to transmit the electrical impulse to the brain,

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Speaker 1: And so we don't hear very well. Our communication is garbled.

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Speaker 1: And yet you can pass a traditional hearing test no problem.

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Speaker 1: But other research is really starting to unfold like less

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Speaker 1: predictable ways that noise and noise pollution actually affects our health.

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Speaker 1: And it's like our entire system is negatively affected by

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Speaker 1: noise and noise exposure.

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Speaker 2: It is, and it basically at the beginning of the

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Speaker 2: whole process is triggering the same exact thing that triggers

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Speaker 2: your fight or flight response, Like you're gonna have the

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Speaker 2: same reaction to you know, if you hear a siren

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Speaker 2: go by, the same thing is happening in your as

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Speaker 2: far as your brain knows. Then what happens if like

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Speaker 2: a bear walks up to you and roars right?

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Speaker 1: Yeah, So, like our hearing is always on and it's

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Speaker 1: always on the lookout for a potential threat, And one

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Speaker 1: of the ways that a potential threat can give itself

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Speaker 1: away is by making a sound. Right. It was, like

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Speaker 1: I was saying earlier, like we've been around waterfalls and

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Speaker 1: the sound of waves in our evolutionary history for so

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Speaker 1: long that basically it seems like when you're born, you

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Speaker 1: come equipped with this. Don't worry about that sound. Actually

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Speaker 1: you can be soothed by it. It's not something that

382
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Speaker 1: should stimulate your fighter flight response. But we've lived around

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Speaker 1: industrial machinery and the sound of a text message or

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Speaker 1: a leaf blower, the stupid leaf blowers for such a

385
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Speaker 1: little amount of our evolutionary history that our minds are

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Speaker 1: not at all attuned to those things, or we haven't

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Speaker 1: kind of adopted this idea that a leaf blower is

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Speaker 1: non threatening and so it stimulates the fighter flight response

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Speaker 1: and is when we hear it.

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Speaker 2: That's right. So you're going to hear that sound you're amigdalah,

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Speaker 2: which we've talked about plenty, contributes to emotional processing, is

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Speaker 2: going to send that same distress signal to the hypothalamus.

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Speaker 2: And again that gets if you are in a fight

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Speaker 2: or flight response, which is why you probably want to

395
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Speaker 2: run screaming if you hear too many sirens you're here

396
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Speaker 2: too many leaf blowers, sure, and then that's going to

397
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Speaker 2: signal your adrenal glands to get your adrenaline going. And

398
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Speaker 2: I believe cortisol gets going as well. Yes, it's like

399
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Speaker 2: literally mimicking fight or flight.

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Speaker 1: Yeah, And so they figured out that like people who

401
00:21:12,440 --> 00:21:16,399
Speaker 1: are continuously chronically exposed to sound, like say people who

402
00:21:16,480 --> 00:21:19,120
Speaker 1: live like really close to an airport, are really close

403
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Speaker 1: to the subway tracks, or people who work in a

404
00:21:23,600 --> 00:21:28,320
Speaker 1: really noisy factory, they have all sorts of crazy random

405
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Speaker 1: health problems, Like their kids sometimes have low birth weight. Obviously,

406
00:21:33,119 --> 00:21:39,760
Speaker 1: they can develop tonitis, heart disease, obesity, diabetes, Their children

407
00:21:39,800 --> 00:21:44,440
Speaker 1: who are exposed to chronic noise can have cognitive impairments,

408
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Speaker 1: high blood pressure, like all sorts of crazy stuff. And

409
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Speaker 1: so you think, well, okay, that's like, that's terrible anybody

410
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Speaker 1: who has to live near noise or work near noise,

411
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Speaker 1: like we should do something about that. But it's even

412
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Speaker 1: worse than that, Like, noise pollution is even more in

413
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Speaker 1: citia than that because you don't have to be chronically

414
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Speaker 1: exposed to it. You don't have to live in a

415
00:22:05,200 --> 00:22:08,440
Speaker 1: place where you're like, this is an objectively noisy place

416
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Speaker 1: that I live or work in to still suffer from

417
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Speaker 1: the effects of noise pollution.

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Speaker 2: Yeah, I mean it can affect you when you're sleep because,

419
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Speaker 2: like you said, your ears are always on. It's not

420
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Speaker 2: like you go to sleep and the ear say, well,

421
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Speaker 2: I'm going to take a nice break. That would be

422
00:22:22,920 --> 00:22:27,119
Speaker 2: a fantastic evolutionary adaptation. Actually, yeah, well actually it would

423
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Speaker 2: be terrible.

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Speaker 1: It would these days. It wouldn't be days. It would

425
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Speaker 1: be great the Mountain, the Mountain, Lion Sabertooth Tiger days.

426
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Speaker 2: Yeah, it'd be nice if there was a switch and

427
00:22:35,359 --> 00:22:36,359
Speaker 2: you could kind of control that.

428
00:22:36,520 --> 00:22:38,639
Speaker 1: Oh, it'd be so nice. I think the switch is

429
00:22:38,720 --> 00:22:41,880
Speaker 1: the white noise wave machine. Is that switch?

430
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Speaker 2: Yeah, which I've gotten addicted to such that I have

431
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Speaker 2: to travel with them now.

432
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Speaker 1: Yeah, everywhere I go I've heard that. Yeah. Basically, once

433
00:22:50,119 --> 00:22:51,399
Speaker 1: you start, you can't go back.

434
00:22:51,760 --> 00:22:54,159
Speaker 2: Yeah, I like it, though, I do. Brown noise is

435
00:22:54,200 --> 00:22:55,240
Speaker 2: my drug of choice.

436
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Speaker 1: It sounds so gross, though brown.

437
00:23:00,720 --> 00:23:02,240
Speaker 2: I make a brown noise every morning, you know what

438
00:23:02,280 --> 00:23:02,560
Speaker 2: I mean?

439
00:23:04,040 --> 00:23:06,960
Speaker 1: Wow, I was not expecting Dangerfield to make an appearance.

440
00:23:08,080 --> 00:23:09,560
Speaker 2: Well that's what you meant, right, poop or no?

441
00:23:10,119 --> 00:23:12,439
Speaker 1: Yeah? I mean I guess anytime I hear brown, I

442
00:23:12,480 --> 00:23:13,760
Speaker 1: think it's poop.

443
00:23:14,320 --> 00:23:16,159
Speaker 2: You know, you think of that or you think of

444
00:23:16,200 --> 00:23:17,560
Speaker 2: ween the band.

445
00:23:17,640 --> 00:23:19,480
Speaker 1: Did they have a brown song or album?

446
00:23:19,920 --> 00:23:22,720
Speaker 2: They talk about the brown thing, the brown sound and

447
00:23:24,000 --> 00:23:25,760
Speaker 2: brown is just sort of their color and how they

448
00:23:25,840 --> 00:23:27,680
Speaker 2: used to talk about sound. And I've heard other groups

449
00:23:27,680 --> 00:23:28,680
Speaker 2: talk about brown sounds.

450
00:23:28,680 --> 00:23:30,280
Speaker 1: So what does brown sound sound like?

451
00:23:30,560 --> 00:23:36,200
Speaker 2: Well, brown noise, you know if white noises, brown noises.

452
00:23:37,640 --> 00:23:39,680
Speaker 1: Okays middle.

453
00:23:40,480 --> 00:23:42,679
Speaker 2: Yeah, it's sort of a lower lower end. And if

454
00:23:42,680 --> 00:23:44,879
Speaker 2: you actually play it through a speaker, like if you

455
00:23:44,920 --> 00:23:46,000
Speaker 2: put it on your phone and play it through a

456
00:23:46,000 --> 00:23:48,320
Speaker 2: little bluetooth, you can get some good bass and it

457
00:23:48,640 --> 00:23:50,520
Speaker 2: just it really works wonders for me, I.

458
00:23:50,520 --> 00:23:52,840
Speaker 1: Should try brown noise or even white noise. I've been

459
00:23:52,920 --> 00:23:59,600
Speaker 1: using chrome noise where it's like and it's really not

460
00:23:59,720 --> 00:24:01,760
Speaker 1: helping me sleep at all. You like?

461
00:24:02,760 --> 00:24:05,800
Speaker 2: You like I have the sound of an early Internet

462
00:24:05,800 --> 00:24:12,480
Speaker 2: connection being made of a constant. Did they ever name that?

463
00:24:12,520 --> 00:24:14,520
Speaker 2: They should have named that be great.

464
00:24:14,359 --> 00:24:15,520
Speaker 1: To Yeah, I don't know.

465
00:24:15,680 --> 00:24:16,960
Speaker 2: I just call it whatever it was.

466
00:24:17,560 --> 00:24:21,000
Speaker 1: They called it the tickety wichet, right.

467
00:24:22,800 --> 00:24:25,560
Speaker 2: Interrupted sleep though, that's that's the big problem, or one

468
00:24:25,560 --> 00:24:27,520
Speaker 2: of the big problems, because your ears are always on.

469
00:24:28,320 --> 00:24:31,760
Speaker 2: If you have interrupted sleep or poor sleep overall, you're

470
00:24:31,760 --> 00:24:35,760
Speaker 2: gonna be tired. Obviously, your creativity, your memory can get impaired.

471
00:24:35,800 --> 00:24:39,200
Speaker 2: Your creativity is gonna be low. You're gonna have impaired judgment,

472
00:24:40,000 --> 00:24:44,240
Speaker 2: your psychomotor skills might be impacted. You might have more headaches.

473
00:24:44,240 --> 00:24:46,600
Speaker 2: They've done studies. If you live near airports and stuff

474
00:24:46,640 --> 00:24:49,760
Speaker 2: like that, or you know, next to like a rail yard,

475
00:24:50,000 --> 00:24:51,959
Speaker 2: you're gonna have more headaches, you might take more sleeping

476
00:24:52,000 --> 00:24:55,639
Speaker 2: pills as a result, you might be more prone to

477
00:24:55,680 --> 00:24:58,840
Speaker 2: minor accidents, and you are going to be more prone

478
00:24:58,840 --> 00:25:03,080
Speaker 2: to seek psychiatric treatment in your life. They like studies

479
00:25:03,119 --> 00:25:03,600
Speaker 2: have shown this.

480
00:25:03,880 --> 00:25:08,560
Speaker 1: Yeah, there's a study of people living near European airports.

481
00:25:08,600 --> 00:25:11,879
Speaker 1: They found a ten decibel increase in aircraft noise was

482
00:25:11,880 --> 00:25:15,480
Speaker 1: associated with a twenty eight percent increase in anxiety medication,

483
00:25:16,200 --> 00:25:19,600
Speaker 1: and that people were also likelier to have like twenty

484
00:25:19,640 --> 00:25:24,040
Speaker 1: five percent more likely to have symptoms of depression. So again,

485
00:25:24,080 --> 00:25:26,800
Speaker 1: all this is just from like having not good sleep,

486
00:25:26,840 --> 00:25:29,920
Speaker 1: which is bad enough, but apparently Chuck it even gets

487
00:25:29,920 --> 00:25:33,840
Speaker 1: worse because even if your sleep isn't disturbed where you're

488
00:25:33,880 --> 00:25:36,480
Speaker 1: waking up and not getting sleep because.

489
00:25:36,200 --> 00:25:38,800
Speaker 2: Of noise, right, like you get used to it sort of.

490
00:25:38,800 --> 00:25:42,120
Speaker 1: Uh huh, the noise is still affecting you while you're

491
00:25:42,160 --> 00:25:45,480
Speaker 1: sleeping because again, your ear never turns off. It's always

492
00:25:45,560 --> 00:25:48,760
Speaker 1: on the listen out for some sort of threat creeping

493
00:25:48,880 --> 00:25:51,440
Speaker 1: up on you. And so if you're exposed to noise

494
00:25:51,480 --> 00:25:55,679
Speaker 1: while you're sleeping, it still has that stress effect on you.

495
00:25:56,359 --> 00:25:58,560
Speaker 1: And what they've figured out is that one of the

496
00:25:58,640 --> 00:26:02,320
Speaker 1: problems of just being chronically stressed through something like noise

497
00:26:02,359 --> 00:26:06,280
Speaker 1: and I think stress in general, is that it affects

498
00:26:06,520 --> 00:26:09,560
Speaker 1: I think it's called the end of thelium, which is

499
00:26:09,600 --> 00:26:13,000
Speaker 1: the lining of your blood vessels, and they respond to

500
00:26:13,320 --> 00:26:17,480
Speaker 1: chemicals that tell them to constrict to relax, and they

501
00:26:17,600 --> 00:26:21,320
Speaker 1: get constricted when they get stressed, when they're exposed to stress,

502
00:26:21,520 --> 00:26:24,600
Speaker 1: like cortisol or something like that comes along and says constrict.

503
00:26:25,000 --> 00:26:27,160
Speaker 1: And when they do that, you get high blood pressure,

504
00:26:27,359 --> 00:26:29,439
Speaker 1: you can end up with heart disease, you can end

505
00:26:29,520 --> 00:26:33,040
Speaker 1: up suffering from heart attacks. And what's insane is they

506
00:26:33,160 --> 00:26:38,160
Speaker 1: figured out that after one night of being exposed while

507
00:26:38,200 --> 00:26:46,240
Speaker 1: you're sleeping to something like train sounds, your endothelium starts suffering,

508
00:26:46,359 --> 00:26:49,320
Speaker 1: like it doesn't function as well after just one night

509
00:26:49,359 --> 00:26:49,680
Speaker 1: of that.

510
00:26:50,840 --> 00:26:54,800
Speaker 2: Right, Like, isn't the idea that you can have no

511
00:26:54,920 --> 00:26:57,520
Speaker 2: other sort of poor health markers and it can actually

512
00:26:57,640 --> 00:26:59,280
Speaker 2: be brought on because of this noise?

513
00:26:59,359 --> 00:27:01,919
Speaker 1: Right, Yes, while you're sleeping you're still getting sleep, but

514
00:27:01,960 --> 00:27:04,280
Speaker 1: it's still happening to you while you're sleeping. And not

515
00:27:04,359 --> 00:27:09,280
Speaker 1: only like high blood pressure or like a heart attack

516
00:27:09,400 --> 00:27:11,680
Speaker 1: or something like that coming down the road, but also

517
00:27:11,720 --> 00:27:14,960
Speaker 1: like diabetes, obesity. There's a lot of things that we're

518
00:27:14,960 --> 00:27:19,160
Speaker 1: figuring out are tied to the lining of the blood

519
00:27:19,240 --> 00:27:22,040
Speaker 1: vessels and whether they're healthy or not. It's a huge

520
00:27:22,080 --> 00:27:25,000
Speaker 1: predictor of a whole range of diseases. And when you

521
00:27:25,080 --> 00:27:32,000
Speaker 1: hear noise, that's your stressors trigger your endothelium to constrict,

522
00:27:32,040 --> 00:27:33,440
Speaker 1: and that is a really bad thing.

523
00:27:34,640 --> 00:27:37,879
Speaker 2: It is here in the United States. We kind of

524
00:27:37,880 --> 00:27:42,439
Speaker 2: started studying the stuff in earnest in the seventies. That

525
00:27:42,600 --> 00:27:46,159
Speaker 2: was when pollution was a big deal just all around

526
00:27:46,240 --> 00:27:49,120
Speaker 2: in the United States, and we started to say things like, hey,

527
00:27:49,160 --> 00:27:52,720
Speaker 2: maybe you shouldn't just have a family picnic and then

528
00:27:52,800 --> 00:27:55,639
Speaker 2: just pick up your blanket and dump all the trash

529
00:27:55,680 --> 00:27:58,159
Speaker 2: on the ground like they did on that episode of

530
00:27:58,200 --> 00:27:58,760
Speaker 2: Mad Men.

531
00:27:58,840 --> 00:28:01,840
Speaker 1: And Anchor Man when they're all eating McDonald's and they

532
00:28:02,080 --> 00:28:02,960
Speaker 1: throw it on the ground.

533
00:28:04,119 --> 00:28:09,040
Speaker 2: I saw a guy throw a fully like McDonald's thing

534
00:28:09,119 --> 00:28:11,320
Speaker 2: out the window the other day and smashed on the sidewalk.

535
00:28:11,400 --> 00:28:13,760
Speaker 2: Oh my god. And I was just like, who who

536
00:28:13,800 --> 00:28:14,639
Speaker 2: does that? Still?

537
00:28:14,920 --> 00:28:18,440
Speaker 1: Yeah, that's the problem is we're at a place in

538
00:28:18,840 --> 00:28:22,239
Speaker 1: our country's history where if you confront people like that,

539
00:28:22,280 --> 00:28:24,600
Speaker 1: there's a chance you're going to get shot for confronting

540
00:28:24,680 --> 00:28:27,040
Speaker 1: someone like that. But I don't confront But that's like,

541
00:28:27,359 --> 00:28:30,720
Speaker 1: that is the kind of behavior you should, under normal circumstances,

542
00:28:30,720 --> 00:28:34,320
Speaker 1: non shooting circumstances, feel perfectly fine confronting somebody about and

543
00:28:34,320 --> 00:28:36,560
Speaker 1: being like what is wrong with you? Like, we're so

544
00:28:36,760 --> 00:28:39,840
Speaker 1: far beyond that, Like everyone knows you shouldn't do that.

545
00:28:40,320 --> 00:28:42,560
Speaker 1: It's just, Oh, it drove me insane.

546
00:28:43,280 --> 00:28:45,560
Speaker 2: I got to a good fight with him in my brain.

547
00:28:45,840 --> 00:28:49,160
Speaker 1: Yes, I know, Like what, Like, where's the solution, where's

548
00:28:49,200 --> 00:28:49,680
Speaker 1: the answer?

549
00:28:50,680 --> 00:28:52,440
Speaker 2: I don't know, man. I think the zen path is

550
00:28:52,520 --> 00:28:54,400
Speaker 2: you go pick up that McDonald's cup and throw it

551
00:28:54,400 --> 00:28:58,080
Speaker 2: away totally and and say a prayer for that person

552
00:28:58,440 --> 00:29:03,520
Speaker 2: good luck. So yeah, New York is where they started

553
00:29:03,520 --> 00:29:06,040
Speaker 2: studying this stuff in the seventies because it was kind

554
00:29:06,040 --> 00:29:09,360
Speaker 2: of wrapped up, like I said, folded into larger pollution studies.

555
00:29:09,520 --> 00:29:11,360
Speaker 2: They're like, well, we might as well talk about noise pollution.

556
00:29:12,120 --> 00:29:14,360
Speaker 2: New York is a place to do it, and they

557
00:29:14,360 --> 00:29:16,320
Speaker 2: did there were a couple of studies in the nineteen

558
00:29:16,400 --> 00:29:21,320
Speaker 2: seventies about subway noise that really sort of gave put

559
00:29:21,360 --> 00:29:23,960
Speaker 2: the whole thing on some terra firma as far as

560
00:29:24,000 --> 00:29:27,880
Speaker 2: the health effects and learning effects. In the case of

561
00:29:27,960 --> 00:29:31,560
Speaker 2: kids at PS ninety eight Manhattan, it was very close

562
00:29:31,600 --> 00:29:34,120
Speaker 2: to the train tracks there, the subway train tracks, like

563
00:29:34,240 --> 00:29:37,160
Speaker 2: real close, yeah, like two hundred and twenty feet away.

564
00:29:37,920 --> 00:29:41,720
Speaker 2: And they found and this is pretty startling, they found

565
00:29:41,720 --> 00:29:43,920
Speaker 2: that the kids that were closest to the train tracks

566
00:29:44,400 --> 00:29:48,400
Speaker 2: were eleven months behind their classmates that were on the

567
00:29:48,400 --> 00:29:49,479
Speaker 2: other side of the school.

568
00:29:49,640 --> 00:29:52,360
Speaker 1: Yeah, on like not in another school, just on the

569
00:29:52,400 --> 00:29:53,640
Speaker 1: other side of the school.

570
00:29:54,080 --> 00:29:57,960
Speaker 2: Yeah, almost a full well, I mean that is basically

571
00:29:57,960 --> 00:30:01,080
Speaker 2: a full school year, yeah, because you know, with summers

572
00:30:01,080 --> 00:30:04,720
Speaker 2: off and stuff, that's an academic year plus that they

573
00:30:04,720 --> 00:30:08,800
Speaker 2: were behind. And they installed acoustic tiles in the classroom

574
00:30:08,960 --> 00:30:12,800
Speaker 2: and some dampening devices, and they did a follow up

575
00:30:12,840 --> 00:30:16,160
Speaker 2: study and the gap had closed basically, So I mean

576
00:30:16,200 --> 00:30:18,280
Speaker 2: there's proof right there, like your kids are not learning

577
00:30:18,320 --> 00:30:20,360
Speaker 2: as well if they're near that subway noise.

578
00:30:20,960 --> 00:30:24,160
Speaker 1: There's another kind of landmark study in the seventies in

579
00:30:24,200 --> 00:30:27,600
Speaker 1: New York that established the concept of noise pollution at

580
00:30:27,600 --> 00:30:31,120
Speaker 1: a place called the Bridges apartment high rise, or a

581
00:30:31,120 --> 00:30:34,440
Speaker 1: cluster of them in Manhattan that I believe ninety five

582
00:30:34,880 --> 00:30:42,520
Speaker 1: maybe drives under or really really close, and the traffic

583
00:30:42,640 --> 00:30:45,080
Speaker 1: noise is so bad that even as high up as

584
00:30:45,160 --> 00:30:49,240
Speaker 1: the eighth floor, the traffic sound is about the level

585
00:30:49,240 --> 00:30:52,120
Speaker 1: of a vacuum cleaner. And like just sitting in your apartment,

586
00:30:52,160 --> 00:30:56,440
Speaker 1: you have to raise your voice to be heard, which

587
00:30:56,520 --> 00:30:59,960
Speaker 1: I mean, just the stress of that I can't imagine.

588
00:31:00,680 --> 00:31:04,760
Speaker 1: Like that's an inhabitable, uninhabitable place. I believe people are

589
00:31:04,840 --> 00:31:09,280
Speaker 1: still living there as well. But this study found that

590
00:31:09,360 --> 00:31:14,680
Speaker 1: children living there were far behind at reading comprehension, at

591
00:31:14,760 --> 00:31:19,080
Speaker 1: listening comprehension, and just weren't learning as quickly as other

592
00:31:19,200 --> 00:31:21,880
Speaker 1: kids their age who did not live in the Bridges.

593
00:31:22,360 --> 00:31:25,880
Speaker 1: So those two studies together from New York kind of

594
00:31:26,320 --> 00:31:29,440
Speaker 1: established this idea like, Okay, there's a real problem with

595
00:31:29,560 --> 00:31:33,800
Speaker 1: noise pollution, and then it just went away for many,

596
00:31:33,840 --> 00:31:39,040
Speaker 1: many years until about twenty eleven when the who there

597
00:31:39,080 --> 00:31:40,400
Speaker 1: was a bunch of other studies a lot of the

598
00:31:40,440 --> 00:31:42,800
Speaker 1: other ones that we've referenced so far came out around

599
00:31:42,800 --> 00:31:45,760
Speaker 1: twenty ten twenty eleven twenty thirteen. I'm not sure what

600
00:31:45,840 --> 00:31:47,920
Speaker 1: exactly kicked it off, but there was a big spade

601
00:31:47,920 --> 00:31:50,680
Speaker 1: of them. But then the WHO released a really big report.

602
00:31:51,280 --> 00:31:53,520
Speaker 1: Not that Who, the band, the World Health Organization.

603
00:31:53,680 --> 00:31:55,320
Speaker 2: They're another loud band actually, and.

604
00:31:56,560 --> 00:31:59,680
Speaker 1: Yeah, they felt terribly guilty about causing hearing loss in

605
00:31:59,720 --> 00:32:05,760
Speaker 1: their their fans, so they launched this study of basically

606
00:32:05,840 --> 00:32:10,840
Speaker 1: all of Western Europe. They looked at i think something

607
00:32:10,920 --> 00:32:13,920
Speaker 1: like five hundred different studies and did a meta analysis

608
00:32:13,960 --> 00:32:17,520
Speaker 1: of them to calculate what's called the disability adjusted life

609
00:32:17,600 --> 00:32:20,840
Speaker 1: years or dailies that were lost in Europe every year

610
00:32:21,200 --> 00:32:22,680
Speaker 1: to noise pollution.

611
00:32:23,840 --> 00:32:27,520
Speaker 2: Yeah, And the idea of a daily is they basically say,

612
00:32:27,560 --> 00:32:32,000
Speaker 2: it's like the healthy years of your life that end

613
00:32:32,080 --> 00:32:36,000
Speaker 2: up being lost to this human made noise that you're

614
00:32:36,000 --> 00:32:39,880
Speaker 2: living with. Right, And it's kind of a sort of

615
00:32:39,920 --> 00:32:42,720
Speaker 2: an esoteric way to think about it, but once you

616
00:32:42,760 --> 00:32:44,760
Speaker 2: wrap your head around it, it makes a little bit more sense.

617
00:32:45,280 --> 00:32:49,600
Speaker 2: But they found that at least one million healthy years

618
00:32:49,640 --> 00:32:53,840
Speaker 2: of life are lost every single year only just in

619
00:32:53,880 --> 00:32:57,040
Speaker 2: Europe due to noise pollution. A million healthy years of

620
00:32:57,080 --> 00:32:59,240
Speaker 2: people's lives right annually.

621
00:32:59,520 --> 00:33:02,520
Speaker 1: Yeah, and that means because of all of the disease

622
00:33:02,560 --> 00:33:06,959
Speaker 1: burden that noise pollution produces in humans. That that's how

623
00:33:07,040 --> 00:33:11,960
Speaker 1: much of our healthy lifespan is shaved off every year collectively,

624
00:33:12,040 --> 00:33:14,600
Speaker 1: or how much Europe's is. And they did a follow

625
00:33:14,640 --> 00:33:18,200
Speaker 1: up study in twenty eighteen, Chuck, and found that actually, no,

626
00:33:18,240 --> 00:33:21,640
Speaker 1: we got it wrong. It's one point eight million dailies

627
00:33:21,680 --> 00:33:25,240
Speaker 1: are lost in Western Europe alone each year. So they

628
00:33:25,280 --> 00:33:30,920
Speaker 1: definitely established through these couple of who studies, like, noise

629
00:33:30,960 --> 00:33:33,719
Speaker 1: pollution is still a thing and we should probably do

630
00:33:33,800 --> 00:33:36,160
Speaker 1: something about it. And there was another study that was

631
00:33:36,240 --> 00:33:40,480
Speaker 1: released this past year that said, yes, dailies are significant,

632
00:33:40,880 --> 00:33:43,600
Speaker 1: but we may have found a link that shows that

633
00:33:43,760 --> 00:33:48,040
Speaker 1: noise pollution can actually straight up kill you under some

634
00:33:48,120 --> 00:33:49,560
Speaker 1: circumstances potentially.

635
00:33:50,920 --> 00:33:54,000
Speaker 2: Yeah, And this one was this is pretty startling because

636
00:33:54,040 --> 00:33:56,840
Speaker 2: they looked at heart well not necessarily a heart attack,

637
00:33:56,880 --> 00:33:59,840
Speaker 2: but nighttime deaths. No, I guess it was heart attack, yes,

638
00:34:00,120 --> 00:34:02,800
Speaker 2: but if you die overnight, die in your sleep quote

639
00:34:02,840 --> 00:34:08,239
Speaker 2: unquote from heart attacks and the link to commercial aircraft

640
00:34:08,400 --> 00:34:11,600
Speaker 2: flying over your house. And I guess they had a

641
00:34:11,640 --> 00:34:14,040
Speaker 2: way to sort of cancel out all the other factors.

642
00:34:14,719 --> 00:34:17,120
Speaker 2: And they got down to the nitty gritty that three

643
00:34:17,200 --> 00:34:21,399
Speaker 2: percent of all night time deaths from heart attacks can

644
00:34:21,440 --> 00:34:25,040
Speaker 2: be attributed to the sound of aircraft flying overhead while

645
00:34:25,080 --> 00:34:25,640
Speaker 2: you're sleeping.

646
00:34:25,719 --> 00:34:28,120
Speaker 1: Yep, that's just like that was it. That was the

647
00:34:28,239 --> 00:34:31,239
Speaker 1: last stress response that your body could handle, and you

648
00:34:31,280 --> 00:34:35,200
Speaker 1: had a heart attack and died from that sound. They said, like, Okay,

649
00:34:35,200 --> 00:34:39,000
Speaker 1: we found a definite correlation, but if there is causation here,

650
00:34:39,040 --> 00:34:41,399
Speaker 1: then we can talk up about three percent of those.

651
00:34:41,680 --> 00:34:42,560
Speaker 1: That's astounding.

652
00:34:43,360 --> 00:34:46,399
Speaker 2: It is astounding. We're going to take a break. That's

653
00:34:46,520 --> 00:34:50,399
Speaker 2: the human grossness, and we'll talk about the awful things

654
00:34:50,400 --> 00:34:53,239
Speaker 2: that we're doing to our animal friends and nature right

655
00:34:53,280 --> 00:35:20,279
Speaker 2: after this. All right, We talked about a lot of

656
00:35:20,320 --> 00:35:25,080
Speaker 2: studies that basically all added up to noise pollution very

657
00:35:25,120 --> 00:35:28,520
Speaker 2: bad for human beings, like literally bad for their health.

658
00:35:29,360 --> 00:35:31,919
Speaker 2: And I know we've talked about a few of these

659
00:35:31,960 --> 00:35:34,520
Speaker 2: before over the years, especially when it comes to whales,

660
00:35:36,000 --> 00:35:40,000
Speaker 2: but all manner of Mother nature are impacted by this noise.

661
00:35:40,400 --> 00:35:42,839
Speaker 2: They did a study in the early two thousands about

662
00:35:42,880 --> 00:35:44,319
Speaker 2: stress hormones.

663
00:35:45,480 --> 00:35:48,520
Speaker 1: For what kind of whales were they right whales.

664
00:35:48,680 --> 00:35:51,880
Speaker 2: Right whales in the Bay of Fundy, And they saw,

665
00:35:51,920 --> 00:35:55,000
Speaker 2: and this is remarkable, they saw a really weird unexplained

666
00:35:55,520 --> 00:35:59,440
Speaker 2: declined in the stress hormone concentrations that went away and

667
00:35:59,480 --> 00:36:03,080
Speaker 2: then came back up again, and they eventually realized it

668
00:36:03,200 --> 00:36:07,080
Speaker 2: was a halt in the shipping in the bay after

669
00:36:07,400 --> 00:36:08,400
Speaker 2: nine to eleven happened.

670
00:36:08,680 --> 00:36:14,120
Speaker 1: Yeah, because shipping is probably humans' noisiest marine endeavor that

671
00:36:14,160 --> 00:36:18,200
Speaker 1: we do all the time constantly. And the idea of

672
00:36:18,520 --> 00:36:21,960
Speaker 1: a break in that having being connected to a huge

673
00:36:22,000 --> 00:36:26,279
Speaker 1: decline in stress hormones in whale poop, that's significant. But

674
00:36:26,320 --> 00:36:28,799
Speaker 1: it was an accidental discovery, and I think it led

675
00:36:28,840 --> 00:36:30,840
Speaker 1: other people to start studying stuff like that, like the

676
00:36:30,840 --> 00:36:34,560
Speaker 1: effects of noise on wildlife. And there was this I

677
00:36:34,600 --> 00:36:38,439
Speaker 1: think you University of Idaho. I'm sorry if it's Idaho state,

678
00:36:38,440 --> 00:36:42,120
Speaker 1: please don't be mad. I think it's Idaho, okay, a

679
00:36:42,160 --> 00:36:45,759
Speaker 1: study from twenty twelve where researchers set up like what

680
00:36:45,800 --> 00:36:48,600
Speaker 1: they called a phantom road, which is basically they have

681
00:36:48,640 --> 00:36:51,960
Speaker 1: fixed a line of loudspeakers to some trees out in

682
00:36:51,960 --> 00:36:55,719
Speaker 1: the wilderness that stretched about a half a mile in length,

683
00:36:55,800 --> 00:37:00,360
Speaker 1: and they just played road and traffic noise out like

684
00:37:00,400 --> 00:37:03,160
Speaker 1: city stuff, just like the kind of stuff that possibly

685
00:37:03,640 --> 00:37:07,399
Speaker 1: a remote road through the wilderness would sound like. Because

686
00:37:07,440 --> 00:37:10,280
Speaker 1: They recorded it in Glacier National Park on a road there,

687
00:37:11,239 --> 00:37:14,240
Speaker 1: and just from that, just from like this rural Glacier

688
00:37:14,400 --> 00:37:18,040
Speaker 1: National Park road noise, something like more than a quarter

689
00:37:18,200 --> 00:37:20,799
Speaker 1: of all the birds in the area just left. They

690
00:37:20,840 --> 00:37:24,359
Speaker 1: were like, we're moving. Yeah, we're going to Canada. So'd

691
00:37:24,360 --> 00:37:26,200
Speaker 1: everybody in the United States.

692
00:37:27,719 --> 00:37:30,480
Speaker 2: Yeah, you know, I think I definitely noticed, and I

693
00:37:30,520 --> 00:37:35,480
Speaker 2: heard other people talk about in like April of last

694
00:37:35,560 --> 00:37:39,839
Speaker 2: year when things really slowed down commuter and traffic wise

695
00:37:39,920 --> 00:37:42,840
Speaker 2: due to the pandemic. And I don't think it was

696
00:37:43,000 --> 00:37:47,439
Speaker 2: just our imaginations, but there were there was a lot

697
00:37:47,520 --> 00:37:50,960
Speaker 2: more bird activity going on, and I remember, I think

698
00:37:50,960 --> 00:37:54,920
Speaker 2: I remember us even talking about it, or maybe it

699
00:37:54,960 --> 00:37:57,600
Speaker 2: was just quieter for us, so we noticed the more

700
00:37:57,880 --> 00:38:01,000
Speaker 2: or maybe a combination of both, but there was a difference.

701
00:38:01,040 --> 00:38:03,560
Speaker 2: And when you know, when shipping stops after nine to

702
00:38:03,600 --> 00:38:09,360
Speaker 2: eleven or when traffic stops, nature says, oh, well the

703
00:38:09,440 --> 00:38:13,800
Speaker 2: human a holes are gone. Now we can start behaving

704
00:38:13,840 --> 00:38:14,520
Speaker 2: normally again.

705
00:38:14,719 --> 00:38:18,520
Speaker 1: Yeah, like things are back to normal. And that's I mean,

706
00:38:18,560 --> 00:38:21,360
Speaker 1: that's just on land. Also, they found that Idaho study

707
00:38:21,360 --> 00:38:23,560
Speaker 1: found that the birds that stuck around lost a bunch

708
00:38:23,600 --> 00:38:26,000
Speaker 1: of weight, which they would have needed to migrate, so

709
00:38:26,080 --> 00:38:29,239
Speaker 1: maybe they couldn't leave even if they wanted to. But

710
00:38:29,600 --> 00:38:31,759
Speaker 1: that was the land study. There's been other studies on land,

711
00:38:31,800 --> 00:38:35,759
Speaker 1: but it seems like the we're doing a lot of

712
00:38:35,840 --> 00:38:39,520
Speaker 1: damage to marine ecosystems as well, like probably even more

713
00:38:39,600 --> 00:38:42,640
Speaker 1: because sound waves travel in water a lot better than light,

714
00:38:42,680 --> 00:38:44,719
Speaker 1: which means that most of the animals that live in

715
00:38:44,760 --> 00:38:48,360
Speaker 1: the water have really sensitive hearing. That's what they've evolved

716
00:38:48,440 --> 00:38:51,319
Speaker 1: to use to communicate and listen out for, right, So

717
00:38:51,400 --> 00:38:55,360
Speaker 1: when we make noise, it's really problematic in marine ecosystems.

718
00:38:56,160 --> 00:38:58,000
Speaker 2: Yeah, and we make a lot of noise. I mean

719
00:38:58,000 --> 00:39:02,440
Speaker 2: that shipping activity we talked about is super disruptive to

720
00:39:02,520 --> 00:39:06,759
Speaker 2: anything underwater. When they search for mineral deposits on the

721
00:39:06,800 --> 00:39:10,000
Speaker 2: seafloor or under the sea floor, they use these seismic

722
00:39:10,040 --> 00:39:13,160
Speaker 2: air guns that are you can hear those things like

723
00:39:13,160 --> 00:39:15,680
Speaker 2: a fish can hear that a thousands of miles away.

724
00:39:16,719 --> 00:39:21,400
Speaker 2: Very disruptive. Sonar. I know we talked about sonar in

725
00:39:21,400 --> 00:39:24,959
Speaker 2: an episode years ago and how that affected marine life.

726
00:39:24,960 --> 00:39:26,160
Speaker 2: I can't remember what it was.

727
00:39:26,360 --> 00:39:28,560
Speaker 1: Did we do an entire episode on the time they

728
00:39:28,680 --> 00:39:30,400
Speaker 1: blew up the beach to whale? Like what to do

729
00:39:30,480 --> 00:39:31,800
Speaker 1: with the beach whale.

730
00:39:32,160 --> 00:39:36,000
Speaker 2: Maybe, but they basically kind of say now, like they

731
00:39:36,040 --> 00:39:39,640
Speaker 2: think the reasons whales beach themselves is because of these

732
00:39:39,680 --> 00:39:41,919
Speaker 2: noises and sonar is a big culprit.

733
00:39:41,920 --> 00:39:44,560
Speaker 1: Right, Like it just drives them out of the water,

734
00:39:44,600 --> 00:39:47,719
Speaker 1: which sounds bonkers. But if you ever think about how

735
00:39:47,840 --> 00:39:52,320
Speaker 1: humans sometimes jump from tall buildings rather than being burned

736
00:39:52,320 --> 00:39:54,480
Speaker 1: by the intensity of a fire, I think it's virtually

737
00:39:54,480 --> 00:39:58,320
Speaker 1: the same principle. Sure, so we are we have become

738
00:39:58,360 --> 00:40:03,359
Speaker 1: aware of just how much noise pollution affects not just us,

739
00:40:03,400 --> 00:40:06,160
Speaker 1: but the environment as well. Like it is a form

740
00:40:06,200 --> 00:40:09,320
Speaker 1: of pollution, and it seems like, you know, it started

741
00:40:09,360 --> 00:40:11,399
Speaker 1: to accumulate in the last few years, but really we've

742
00:40:11,440 --> 00:40:15,560
Speaker 1: known for a good fifty years that noise pollution is

743
00:40:15,760 --> 00:40:20,000
Speaker 1: really bad for everybody, and yet we've done almost nothing

744
00:40:20,040 --> 00:40:22,960
Speaker 1: about it. But we had the start, Chuck, We started

745
00:40:22,960 --> 00:40:26,040
Speaker 1: out like we were going to like almost immediately when

746
00:40:26,080 --> 00:40:29,080
Speaker 1: we realized how bad noise pollution was. In the seventies,

747
00:40:29,600 --> 00:40:32,960
Speaker 1: we started to do something about it, and the federal

748
00:40:32,960 --> 00:40:35,840
Speaker 1: government passed like three and actually I saw a fourth

749
00:40:35,880 --> 00:40:39,800
Speaker 1: one huge acts that had to do with basically controlling

750
00:40:39,880 --> 00:40:40,520
Speaker 1: noise pollution.

751
00:40:41,360 --> 00:40:44,600
Speaker 2: Yeah, either controlling noise pollution for people in general, or

752
00:40:45,120 --> 00:40:48,680
Speaker 2: through OSHA, making sure people were working in safe conditions,

753
00:40:49,200 --> 00:40:51,120
Speaker 2: or at least had you know, the earcns and things

754
00:40:51,160 --> 00:40:53,839
Speaker 2: they needed to work safely. And it was, like you said,

755
00:40:53,840 --> 00:40:56,120
Speaker 2: it was headed in the right direction. We knew it

756
00:40:56,160 --> 00:40:58,560
Speaker 2: was bad, and we were trying to stop it. And

757
00:40:58,600 --> 00:41:02,200
Speaker 2: then the Reagan administration came along and said, nuts to that,

758
00:41:02,200 --> 00:41:05,560
Speaker 2: that's federal regulation. Let's just leave it to the states.

759
00:41:05,600 --> 00:41:08,319
Speaker 2: Because you ask any governor of any state and they'll

760
00:41:08,320 --> 00:41:10,480
Speaker 2: tell you their citizens know to do the right thing,

761
00:41:10,520 --> 00:41:14,600
Speaker 2: and they'll do that right thing. And so we'll just

762
00:41:14,680 --> 00:41:17,120
Speaker 2: leave it up to the states and let them they

763
00:41:17,200 --> 00:41:19,640
Speaker 2: volunteer to phase itself out. The Office of Noise and

764
00:41:19,680 --> 00:41:24,480
Speaker 2: Abatement Control on paper still exists, but Congress said, you know,

765
00:41:24,600 --> 00:41:27,120
Speaker 2: let's just not fund them anymore, and let's keep these

766
00:41:27,200 --> 00:41:28,920
Speaker 2: laws on the books, but really not worry about it

767
00:41:28,960 --> 00:41:30,960
Speaker 2: too much because the states will take care of it, right,

768
00:41:30,960 --> 00:41:32,239
Speaker 2: because states always do the right thing.

769
00:41:32,560 --> 00:41:34,919
Speaker 1: Yeah, And the states, of course did absolutely nothing, and

770
00:41:34,960 --> 00:41:38,799
Speaker 1: it's partially because they can't do a lot about it.

771
00:41:38,880 --> 00:41:43,040
Speaker 1: A lot of noise is really best understood, studied, and

772
00:41:43,120 --> 00:41:47,279
Speaker 1: regulated by the federal government. Like what, like Georgia has

773
00:41:47,320 --> 00:41:50,600
Speaker 1: a bunch of money reserved to study the effects of

774
00:41:50,719 --> 00:41:53,640
Speaker 1: noise on humans. Like, no, that's totally a federal kind

775
00:41:53,640 --> 00:41:55,480
Speaker 1: of thing to do, you know, And that's what some

776
00:41:55,560 --> 00:41:58,799
Speaker 1: of those seventies acts set up, like that Office of

777
00:41:58,840 --> 00:42:01,799
Speaker 1: Noise Abatement and Control or Noise Controlling the Baby, Like

778
00:42:02,000 --> 00:42:04,359
Speaker 1: its purpose was to study that kind of stuff. That's

779
00:42:04,400 --> 00:42:07,440
Speaker 1: not what states do. So the states have, well not

780
00:42:07,480 --> 00:42:11,160
Speaker 1: the states, but usually more municipalities and counties have. They

781
00:42:11,160 --> 00:42:14,960
Speaker 1: have taken steps to kind of mitigate sound pollution, Like

782
00:42:15,239 --> 00:42:19,640
Speaker 1: there's your noise pollution. There's usually regulations on how early

783
00:42:19,880 --> 00:42:23,320
Speaker 1: or late a landscaping crew can work within the city limits,

784
00:42:23,840 --> 00:42:26,359
Speaker 1: or some of them say like you can't boom your

785
00:42:26,400 --> 00:42:29,480
Speaker 1: stereo or you're not allowed to have that broken glass

786
00:42:29,520 --> 00:42:32,919
Speaker 1: muffler on your Harley. Like there's some stuff like that.

787
00:42:33,239 --> 00:42:35,799
Speaker 1: But then like if you live kind of under a

788
00:42:35,840 --> 00:42:38,839
Speaker 1: flight path, if your town wanted to say, you know what,

789
00:42:38,920 --> 00:42:41,560
Speaker 1: you can't fly over our town and wake everybody up

790
00:42:41,840 --> 00:42:46,000
Speaker 1: between you know, twelve at night and seven in the morning,

791
00:42:46,040 --> 00:42:48,879
Speaker 1: you can't fly an airplane over it. The airplanes would

792
00:42:48,880 --> 00:42:51,400
Speaker 1: just be like like I didn't hear you, Sorry, I

793
00:42:51,520 --> 00:42:54,040
Speaker 1: was listening to the FEDS who say you can't make

794
00:42:54,120 --> 00:42:54,839
Speaker 1: laws like that.

795
00:42:56,000 --> 00:42:58,240
Speaker 2: Yeah, and you know, I get the feeling with municipalities.

796
00:42:58,280 --> 00:43:02,080
Speaker 2: It is more like complaints from neighbors kind of noise

797
00:43:03,080 --> 00:43:05,279
Speaker 2: or the lawn cruise in construction like you were saying,

798
00:43:05,360 --> 00:43:11,560
Speaker 2: unless like stuff with big teeth recently. Weird reason I

799
00:43:11,560 --> 00:43:13,560
Speaker 2: won't get into, but I was looking up noise ordinances

800
00:43:13,640 --> 00:43:16,800
Speaker 2: and Athens, Georgia, and they're kind of funny when you

801
00:43:16,880 --> 00:43:20,040
Speaker 2: look at these noise ordinances. It's like it literally said,

802
00:43:20,120 --> 00:43:24,799
Speaker 2: like you know, walking down the sidewalk yelling at one another,

803
00:43:24,960 --> 00:43:27,719
Speaker 2: talking about basically drunk kids, you know, like the French

804
00:43:27,800 --> 00:43:30,880
Speaker 2: quarter kind of thing. It said, you know, this includes

805
00:43:30,960 --> 00:43:34,400
Speaker 2: hooting and hollering, and it was something about being able

806
00:43:34,440 --> 00:43:38,120
Speaker 2: to hear you from like three hundred feet away, but

807
00:43:38,680 --> 00:43:40,520
Speaker 2: or noise from your apartment. But it's you know, it's

808
00:43:40,520 --> 00:43:42,759
Speaker 2: like good luck with that. Like you can call the

809
00:43:42,800 --> 00:43:46,800
Speaker 2: cops on someone maybe, yeah, but there's no teeth or

810
00:43:47,320 --> 00:43:50,120
Speaker 2: or or what do you call it when you or

811
00:43:50,200 --> 00:43:53,560
Speaker 2: enforcement kind of with a lot of this stuff, aside

812
00:43:53,600 --> 00:43:56,880
Speaker 2: from singling out people when it happens in the moment

813
00:43:57,120 --> 00:43:58,640
Speaker 2: and you may get a cop come by and say,

814
00:43:58,640 --> 00:43:59,239
Speaker 2: turn it down.

815
00:43:59,400 --> 00:44:02,000
Speaker 1: But even if if there's a will to do something,

816
00:44:02,120 --> 00:44:05,080
Speaker 1: it depends on if it's like rail traffic or air traffic.

817
00:44:05,480 --> 00:44:10,360
Speaker 1: Like the federal the federal government ties local towns and

818
00:44:10,400 --> 00:44:13,400
Speaker 1: counties hands like they can't do anything about it, and

819
00:44:13,440 --> 00:44:16,040
Speaker 1: there's as a result, there's a lot of noise pollution

820
00:44:16,120 --> 00:44:19,200
Speaker 1: that people can't do anything about. There's a there's a

821
00:44:19,239 --> 00:44:21,319
Speaker 1: town in Canada. I can't remember the name of it,

822
00:44:21,640 --> 00:44:24,960
Speaker 1: but it is. It's got rail like a rail system

823
00:44:24,960 --> 00:44:28,640
Speaker 1: that goes through it, and it doesn't have like alarms

824
00:44:28,719 --> 00:44:31,719
Speaker 1: or like the arms that come down. So trains have

825
00:44:31,800 --> 00:44:35,359
Speaker 1: to honk their horns at least three times as they

826
00:44:35,400 --> 00:44:38,120
Speaker 1: cross through this town. And there's a bunch of different crossings,

827
00:44:38,400 --> 00:44:44,719
Speaker 1: and they calculated that train horns blair twelve hundred times

828
00:44:44,760 --> 00:44:48,680
Speaker 1: a day in this little tiny town. And like obviously

829
00:44:48,719 --> 00:44:51,239
Speaker 1: everybody's going nuts, but they can't do anything about it

830
00:44:51,280 --> 00:44:54,520
Speaker 1: because the federal government of Canada is in charge of

831
00:44:54,520 --> 00:44:58,760
Speaker 1: regulating rail travel like every other developed or industrialized country.

832
00:44:59,680 --> 00:45:01,880
Speaker 2: Yeah, and even if it's something like Osha and like

833
00:45:01,920 --> 00:45:03,960
Speaker 2: you work in a loud factory and they're trying to

834
00:45:04,680 --> 00:45:08,279
Speaker 2: regulate that, they say that a they don't cover all

835
00:45:08,320 --> 00:45:11,719
Speaker 2: industries they should cover, and when they do, it's very

836
00:45:11,760 --> 00:45:16,840
Speaker 2: inconsistently applied. And even when they do apply it inconsistently,

837
00:45:18,040 --> 00:45:20,120
Speaker 2: they say that these limits aren't even low enough to

838
00:45:20,200 --> 00:45:23,960
Speaker 2: protect all the workers anyway from hearing loss. It said,

839
00:45:24,000 --> 00:45:27,759
Speaker 2: OSHA regulations allow workers to be exposed to ninety five

840
00:45:27,840 --> 00:45:30,960
Speaker 2: decibels for four hours a day, five days a week

841
00:45:31,000 --> 00:45:36,239
Speaker 2: for your entire forty year career. And that's like, you're

842
00:45:36,320 --> 00:45:38,359
Speaker 2: going to suffer from hearing loss if that's the case.

843
00:45:38,440 --> 00:45:41,960
Speaker 1: Yeah, that's like holding a leaf blower right next to

844
00:45:41,960 --> 00:45:43,839
Speaker 1: you for four hours a day, five days a week

845
00:45:43,880 --> 00:45:46,359
Speaker 1: for forty years. Like of course you're yeah to lose

846
00:45:46,400 --> 00:45:48,240
Speaker 1: your hearing. Like that's crazy.

847
00:45:48,440 --> 00:45:51,160
Speaker 2: Well, and then factor in the other health effects that

848
00:45:51,200 --> 00:45:52,920
Speaker 2: no one ever talks about that we mentioned in the

849
00:45:52,920 --> 00:45:55,440
Speaker 2: whole first half of this thing, and you have an

850
00:45:55,520 --> 00:45:57,920
Speaker 2: unhealthy population if you're stuck in one of those places.

851
00:45:58,000 --> 00:46:00,239
Speaker 1: Yeah, so we can sit here and cavetch all day,

852
00:46:00,280 --> 00:46:03,839
Speaker 1: which we would love to do. But there are solutions

853
00:46:03,880 --> 00:46:06,240
Speaker 1: to this. But I want to point out one more time,

854
00:46:06,400 --> 00:46:11,839
Speaker 1: all these solutions are zero thanks to the Reagan administration. Instead,

855
00:46:12,280 --> 00:46:14,960
Speaker 1: there's some simple stuff you can do to help us humans,

856
00:46:15,000 --> 00:46:18,319
Speaker 1: Like you can change aircraft routes, you can build barriers

857
00:46:18,360 --> 00:46:22,000
Speaker 1: along roadways and railways. You can even green it up,

858
00:46:22,080 --> 00:46:24,480
Speaker 1: like they found that if you use shrubbery and trees

859
00:46:24,560 --> 00:46:27,839
Speaker 1: mixed together so that they basically produce a fence and

860
00:46:27,880 --> 00:46:30,640
Speaker 1: you plant them close to the road or close to

861
00:46:30,680 --> 00:46:32,920
Speaker 1: the railway rather than close to the place that you're

862
00:46:32,920 --> 00:46:36,719
Speaker 1: trying to protect, they do pretty good at reducing the

863
00:46:37,120 --> 00:46:41,040
Speaker 1: decibels of the sound the noise pollution coming from the traffic.

864
00:46:42,160 --> 00:46:44,080
Speaker 1: That's some easy stuff you can do. And then on

865
00:46:44,120 --> 00:46:47,160
Speaker 1: the user end, on the individual's end, there's all sorts

866
00:46:47,200 --> 00:46:50,440
Speaker 1: of like acoustic insulation and paneling you can add to

867
00:46:50,520 --> 00:46:53,520
Speaker 1: your house to make it a little more soundproof and quieter.

868
00:46:54,880 --> 00:46:56,440
Speaker 1: What about this mufflers.

869
00:46:56,080 --> 00:46:58,360
Speaker 2: Chuck car mufflers.

870
00:46:58,719 --> 00:47:01,200
Speaker 1: Yeah, so apparently the ones that make the sound or

871
00:47:01,239 --> 00:47:03,080
Speaker 1: not not they're not good.

872
00:47:04,280 --> 00:47:08,120
Speaker 2: Yeah, I mean that they could, they could change that.

873
00:47:08,239 --> 00:47:10,200
Speaker 2: The EPA could get involved and say, you know what,

874
00:47:10,239 --> 00:47:11,800
Speaker 2: you can't have those kind of mufflers anymore.

875
00:47:12,600 --> 00:47:14,160
Speaker 1: Thank god if they did.

876
00:47:15,120 --> 00:47:17,160
Speaker 2: As far as the shipping go, I know, it's always

877
00:47:17,200 --> 00:47:20,000
Speaker 2: like a Honda Civic or something that's like tricked out,

878
00:47:20,000 --> 00:47:23,640
Speaker 2: like it's some kind of race car as far as

879
00:47:23,640 --> 00:47:25,520
Speaker 2: the water goes in the shipping stuff like that. Those

880
00:47:25,520 --> 00:47:28,800
Speaker 2: big ships. They found that if they separate the ship's

881
00:47:28,840 --> 00:47:33,040
Speaker 2: engine from the hull, they are quieter, much quieter, And

882
00:47:33,080 --> 00:47:36,120
Speaker 2: they even found that there is I think there's a

883
00:47:36,160 --> 00:47:40,880
Speaker 2: seventy five percent reduction in acoustic energy six to eight decibels,

884
00:47:40,880 --> 00:47:44,920
Speaker 2: which is significant. And they also found that it is

885
00:47:45,480 --> 00:47:48,359
Speaker 2: less fuel efficient. And if they like retrofitted or kind

886
00:47:48,360 --> 00:47:49,920
Speaker 2: of changed the way they built these ships, I don't

887
00:47:49,920 --> 00:47:51,719
Speaker 2: know if you can. Well, I guess you can retrofit someone.

888
00:47:51,800 --> 00:47:54,600
Speaker 1: Well, yeah, the propellers are what's making them less fuel efficient,

889
00:47:54,640 --> 00:47:56,560
Speaker 1: so you can ease not easily, but you can take

890
00:47:56,560 --> 00:47:58,360
Speaker 1: off the old propellers and put on new ones.

891
00:47:58,960 --> 00:48:01,080
Speaker 2: Right, But it cast a lot of money up front,

892
00:48:01,160 --> 00:48:03,239
Speaker 2: like they will save in the long run. And I

893
00:48:03,280 --> 00:48:08,040
Speaker 2: think is it pronounced Maersk, the big shipping company. Yeah,

894
00:48:08,120 --> 00:48:11,800
Speaker 2: they spend one hundred million bucks to do just eleven

895
00:48:11,840 --> 00:48:13,719
Speaker 2: of its ships, So that gives you the idea of

896
00:48:13,760 --> 00:48:17,560
Speaker 2: how much it costs. There may be see some efficiencies

897
00:48:17,600 --> 00:48:20,360
Speaker 2: if they did more or something, but it's not cheap.

898
00:48:20,719 --> 00:48:23,600
Speaker 2: And they have seven hundred and forty ships. They've done eleven, so.

899
00:48:23,840 --> 00:48:26,680
Speaker 1: Well, I did see that is actually a very small

900
00:48:26,800 --> 00:48:29,640
Speaker 1: fraction of all of the ships involved in shipping that

901
00:48:29,680 --> 00:48:32,480
Speaker 1: are responsible for the vast majority of the noise. So

902
00:48:32,960 --> 00:48:35,560
Speaker 1: if you did just focus on the worst offenders, it

903
00:48:35,600 --> 00:48:37,320
Speaker 1: would have a significant impact.

904
00:48:38,280 --> 00:48:38,720
Speaker 2: Yeah.

905
00:48:39,040 --> 00:48:42,120
Speaker 1: There's also a huge amount of noise, apparently underwater noise

906
00:48:42,120 --> 00:48:45,600
Speaker 1: that comes from offshore wind farms because of the pile

907
00:48:45,719 --> 00:48:49,520
Speaker 1: driver that is moved by up and down by the

908
00:48:49,560 --> 00:48:52,520
Speaker 1: blades to help produce the electricity to move the turbine.

909
00:48:52,600 --> 00:48:54,160
Speaker 2: Right, that's right.

910
00:48:54,400 --> 00:48:56,799
Speaker 1: And they found that if you just put a perforated

911
00:48:56,880 --> 00:49:00,080
Speaker 1: pipe around the pile driver, the pile driver's going to

912
00:49:00,120 --> 00:49:04,160
Speaker 1: produce bubbles and those bubbles will dissipate the noise. Almost

913
00:49:04,200 --> 00:49:06,480
Speaker 1: all the noise I think like ninety five percent of

914
00:49:06,520 --> 00:49:09,120
Speaker 1: the noise coming from those offshore wind farms. That's a

915
00:49:09,160 --> 00:49:10,440
Speaker 1: really simple, easy solution.

916
00:49:11,200 --> 00:49:11,960
Speaker 2: Just do it people.

917
00:49:12,160 --> 00:49:14,319
Speaker 1: Yeah, and there's one other thing that I hadn't thought about,

918
00:49:14,360 --> 00:49:16,600
Speaker 1: but I saw a couple places, and it really makes sense,

919
00:49:16,680 --> 00:49:20,800
Speaker 1: is that the noise pollution we're contributing to marine ecosystems

920
00:49:20,840 --> 00:49:25,919
Speaker 1: in particular is just such low hanging fruit that there's

921
00:49:26,360 --> 00:49:28,960
Speaker 1: no reason we shouldn't do this. There's some really easy

922
00:49:29,000 --> 00:49:31,600
Speaker 1: stuff we can do, Like even re routing shipping lanes

923
00:49:31,640 --> 00:49:33,760
Speaker 1: is one thing we can do, and that by doing

924
00:49:33,800 --> 00:49:38,720
Speaker 1: that it will actually stabilize marine ecosystems and marine life

925
00:49:39,320 --> 00:49:41,279
Speaker 1: so that it will buy us a little time while

926
00:49:41,280 --> 00:49:45,239
Speaker 1: we're figuring out much trickier stuff like ocean acidification and

927
00:49:45,320 --> 00:49:47,239
Speaker 1: things that are also threats to it. So it's like,

928
00:49:47,600 --> 00:49:50,919
Speaker 1: just removing noise pollution would really go a long way

929
00:49:50,920 --> 00:49:55,279
Speaker 1: toward extending the I guess the health and vitality of

930
00:49:55,760 --> 00:50:00,160
Speaker 1: the oceans while they're you know, while we're combating climate change.

931
00:50:00,719 --> 00:50:02,839
Speaker 2: I love it. Let's get all these things going. Our

932
00:50:02,880 --> 00:50:03,640
Speaker 2: health is suffering.

933
00:50:04,239 --> 00:50:05,480
Speaker 1: Let's start with the mufflers.

934
00:50:06,600 --> 00:50:08,280
Speaker 2: Yeah, that's just annoyance and health.

935
00:50:08,360 --> 00:50:12,640
Speaker 1: Yeah. Well, since Chuck said that's just annoyance, of course, everybody,

936
00:50:12,680 --> 00:50:14,160
Speaker 1: that means it's time for listener mail.

937
00:50:17,440 --> 00:50:19,600
Speaker 2: This one's pretty short and sweet. I just love it

938
00:50:19,640 --> 00:50:22,239
Speaker 2: when we get an answer about something. I think I

939
00:50:22,320 --> 00:50:24,399
Speaker 2: might have known this at some point, but we talked

940
00:50:24,400 --> 00:50:31,320
Speaker 2: about shrinking as humans. And this is from Steve in Roscoe, Illinois.

941
00:50:31,360 --> 00:50:33,400
Speaker 2: He says, I've been a longtime listener, never had a

942
00:50:33,440 --> 00:50:35,400
Speaker 2: reason to reach out, but you hit my air of expertise.

943
00:50:35,800 --> 00:50:37,800
Speaker 2: I'm a physical therapist, and while listening to the episode

944
00:50:37,800 --> 00:50:40,600
Speaker 2: about crash testing, you ask why do we shrink when

945
00:50:40,600 --> 00:50:43,480
Speaker 2: we get older. What happens is we age, guys, is

946
00:50:43,520 --> 00:50:47,759
Speaker 2: the enter vertebral disks in our back loose hydration, and

947
00:50:47,800 --> 00:50:51,239
Speaker 2: as a result, we shrink. There are six discs in

948
00:50:51,280 --> 00:50:55,120
Speaker 2: the cervical spine, twelve discs in the thoracic spine, and

949
00:50:55,239 --> 00:50:59,360
Speaker 2: five discs in the lambar. If each disc were to

950
00:50:59,360 --> 00:51:01,600
Speaker 2: lose a minimum one sixteenth of an inch in height,

951
00:51:02,080 --> 00:51:04,200
Speaker 2: that adds up pretty quickly and you can easily lose

952
00:51:04,239 --> 00:51:05,520
Speaker 2: an inch plus in your lifetime.

953
00:51:05,600 --> 00:51:05,839
Speaker 1: Wow.

954
00:51:06,640 --> 00:51:08,279
Speaker 2: The other thing to consider as we age, as our

955
00:51:08,320 --> 00:51:11,160
Speaker 2: muscles and tissues get tighter, pulls us into positions of

956
00:51:11,200 --> 00:51:16,640
Speaker 2: poor posture. That's right, and this restricts our ability to

957
00:51:16,719 --> 00:51:19,400
Speaker 2: stand up straight. You combine all these things together and

958
00:51:19,520 --> 00:51:21,239
Speaker 2: all of a sudden, Josh isn't going to hit his

959
00:51:21,320 --> 00:51:22,520
Speaker 2: goal height of six feet.

960
00:51:23,120 --> 00:51:24,719
Speaker 1: I have to stay on my tippy toes now.

961
00:51:25,560 --> 00:51:26,879
Speaker 2: Thanks for all the good work. I hope it didn't

962
00:51:26,880 --> 00:51:29,279
Speaker 2: step on the toes of a future short stuff. I

963
00:51:29,320 --> 00:51:32,480
Speaker 2: think we just did it. Steve, that's Steve Marima or

964
00:51:32,560 --> 00:51:34,839
Speaker 2: Merima from Roscoe, Illinois.

965
00:51:35,239 --> 00:51:37,960
Speaker 1: Thanks a lot, Steve. That was a good email. We

966
00:51:38,000 --> 00:51:40,879
Speaker 1: appreciate that big time. And if you haven't stumbled upon

967
00:51:40,920 --> 00:51:43,799
Speaker 1: it yet, you should check out our episode on Circopania.

968
00:51:43,880 --> 00:51:46,120
Speaker 1: It is old, but it was interesting.

969
00:51:46,760 --> 00:51:49,120
Speaker 2: Yeah. If you have any ethysical therapy needs in Illinois,

970
00:51:49,440 --> 00:51:51,120
Speaker 2: give Steve a call. Sounds good guy.

971
00:51:51,200 --> 00:51:56,640
Speaker 1: Yeah, head to beautiful Roscoe, Illinois. Come on, if you

972
00:51:57,000 --> 00:52:00,799
Speaker 1: want to be like Steve from Roscoe and give us

973
00:52:00,800 --> 00:52:03,359
Speaker 1: some more info that we were asking for. We love

974
00:52:03,440 --> 00:52:05,640
Speaker 1: that kind of stuff. You can send it to us

975
00:52:05,719 --> 00:52:12,239
Speaker 1: via email to stuff Podcasts at iHeartRadio dot com.

976
00:52:12,400 --> 00:52:15,279
Speaker 2: Stuff you Should Know is a production of iHeartRadio. For

977
00:52:15,360 --> 00:52:19,560
Speaker 2: more podcasts myheart Radio, visit the iHeartRadio app, Apple Podcasts,

978
00:52:19,680 --> 00:52:21,520
Speaker 2: or wherever you listen to your favorite shows.