1 00:00:01,480 --> 00:00:04,280 Speaker 1: Welcome to Stuff you Should Know, a production of I 2 00:00:04,360 --> 00:00:13,760 Speaker 1: Heart Radio. Hey, and welcome to the podcast. I'm Josh Clark, 3 00:00:13,800 --> 00:00:16,599 Speaker 1: and there's Charles W Chuck Bryant, and there's Jerry over there, 4 00:00:16,600 --> 00:00:21,120 Speaker 1: and this is stuff you should know. Can I tell 5 00:00:21,120 --> 00:00:26,880 Speaker 1: people what just happened? Sure? After what going on? Fourteen 6 00:00:26,960 --> 00:00:30,120 Speaker 1: years coming up? Yeah? And I guess in April Jerry 7 00:00:30,160 --> 00:00:36,159 Speaker 1: hit record and you went, hey, everybody, Wait, I've been 8 00:00:36,200 --> 00:00:38,599 Speaker 1: having a lot of trouble with my brain lately. I 9 00:00:38,640 --> 00:00:41,280 Speaker 1: think I'm just hey, I think you're doing great. I 10 00:00:41,280 --> 00:00:43,199 Speaker 1: don't know if I told you, thank you. I think 11 00:00:43,240 --> 00:00:45,839 Speaker 1: you're doing great too. Um, I don't know if I 12 00:00:45,920 --> 00:00:49,480 Speaker 1: told you that I had trouble remembering how to um 13 00:00:49,520 --> 00:00:53,800 Speaker 1: what six plus seven added together to the other day? 14 00:00:53,840 --> 00:00:58,720 Speaker 1: That sounds familiar? That really bother? Yeah, and that's like 15 00:00:58,800 --> 00:01:02,000 Speaker 1: my favorite number, and it's like I just couldn't do it. 16 00:01:02,680 --> 00:01:04,440 Speaker 1: I was putting my daughter to bed the other night, 17 00:01:04,480 --> 00:01:09,319 Speaker 1: and as she was going to sleep, literally falling asleep, daddy, 18 00:01:09,560 --> 00:01:14,240 Speaker 1: what's four plus four? Eight? Was six plus two? It's 19 00:01:14,240 --> 00:01:19,959 Speaker 1: also eight? Okay. She's learning math, and you know that 20 00:01:20,040 --> 00:01:23,280 Speaker 1: first stuff you learn is literally just that simple addition, 21 00:01:23,880 --> 00:01:25,800 Speaker 1: and it's just funny to think about, like, wow, that's 22 00:01:25,800 --> 00:01:28,360 Speaker 1: what's on her mind right now. Yeah, but also she's 23 00:01:28,440 --> 00:01:34,720 Speaker 1: learning acceptance too, just unquestioning. Can I tell people how 24 00:01:34,760 --> 00:01:38,120 Speaker 1: you spelled this document that you sent my way for 25 00:01:38,200 --> 00:01:41,959 Speaker 1: this noise pollution episode? Sure? Boy, you're just playing it 26 00:01:42,000 --> 00:01:44,959 Speaker 1: all out there, aren't you. It was fun because it 27 00:01:45,000 --> 00:01:48,000 Speaker 1: looked like a heavy metal band. It was n O 28 00:01:48,280 --> 00:01:52,040 Speaker 1: I Z E p O I think it was p 29 00:01:52,160 --> 00:01:57,520 Speaker 1: O L l U s h U n Y and 30 00:01:57,640 --> 00:01:59,120 Speaker 1: looking at him and pay for I was like, oh, man, 31 00:01:59,240 --> 00:02:02,720 Speaker 1: that's that's a good bad band name. It is, like 32 00:02:02,920 --> 00:02:04,640 Speaker 1: that's a that's a good name for a made up 33 00:02:04,640 --> 00:02:09,560 Speaker 1: band in a movie like Wild Stallions. Yes, and yeah, 34 00:02:09,600 --> 00:02:13,760 Speaker 1: although that's tough to compete with, you know it is. Um. 35 00:02:13,919 --> 00:02:16,360 Speaker 1: I also think we should, uh, we should give a 36 00:02:16,360 --> 00:02:21,480 Speaker 1: little c o ay here. I think it's impossible for 37 00:02:21,520 --> 00:02:25,240 Speaker 1: you and I not to turn into old man complaining 38 00:02:25,280 --> 00:02:28,560 Speaker 1: about like loud music and loud mufflers and stuff in 39 00:02:28,560 --> 00:02:31,600 Speaker 1: this episode. So it's gonna happen. I think everybody who 40 00:02:31,639 --> 00:02:33,639 Speaker 1: knows us and saw the title of this one knew 41 00:02:33,639 --> 00:02:35,480 Speaker 1: it was going to happen. But let's just put it 42 00:02:35,520 --> 00:02:38,480 Speaker 1: on the table now. Well and It's also funny you 43 00:02:38,480 --> 00:02:41,280 Speaker 1: mentioned this because I did mention noise pollution. I introduced 44 00:02:41,280 --> 00:02:44,560 Speaker 1: that concept to my daughter the other day and said, 45 00:02:45,200 --> 00:02:46,960 Speaker 1: you know, she was like, well, what's that and I said, well, 46 00:02:47,000 --> 00:02:49,920 Speaker 1: it's it's as bad as trash on the road, but 47 00:02:50,480 --> 00:02:53,560 Speaker 1: it's noise that's doing it and you should be aware. 48 00:02:53,639 --> 00:02:57,680 Speaker 1: And she was like, okay, um. And I guess it 49 00:02:57,720 --> 00:03:00,440 Speaker 1: never occurred to me that like loud noises for kids, 50 00:03:00,520 --> 00:03:03,440 Speaker 1: unless it's something that really bothers them, it's just part 51 00:03:03,440 --> 00:03:08,080 Speaker 1: of life. Sure, it definitely seems to become more bothersome 52 00:03:08,120 --> 00:03:12,000 Speaker 1: the older you get. Absolutely. I think I don't know why, 53 00:03:12,080 --> 00:03:15,120 Speaker 1: but I'm going to hypothesize that it's because you grow 54 00:03:15,240 --> 00:03:18,600 Speaker 1: to learn that it doesn't have to be that way, 55 00:03:18,919 --> 00:03:21,960 Speaker 1: and if you come to really resent the things and 56 00:03:22,000 --> 00:03:25,840 Speaker 1: the people who are making it. So yeah, and I 57 00:03:25,880 --> 00:03:30,160 Speaker 1: think that's why people One reason people retire to the 58 00:03:30,200 --> 00:03:32,480 Speaker 1: country or something like that, if they've lived in the city, 59 00:03:32,520 --> 00:03:37,000 Speaker 1: their whole life just a little more tranquil, perhaps even 60 00:03:37,160 --> 00:03:42,680 Speaker 1: bucolic lifestyle quieter. And there's a lot of science behind 61 00:03:42,720 --> 00:03:44,320 Speaker 1: It's not just like oh, I don't want to hear 62 00:03:44,360 --> 00:03:47,520 Speaker 1: those noises. As you will see throughout this episode it 63 00:03:47,640 --> 00:03:50,560 Speaker 1: is it's bad for your health. Hey, speaking of retirement, 64 00:03:50,600 --> 00:03:57,360 Speaker 1: have you seen that documentary on the Villages? It is bonkers. Yeah, 65 00:03:57,440 --> 00:03:59,960 Speaker 1: I saw it um actually when I had COVID when 66 00:04:00,000 --> 00:04:02,600 Speaker 1: on a documentary binge, and that was one of them. Man, 67 00:04:02,720 --> 00:04:05,280 Speaker 1: it was like one of the most disturbing documentaries I've 68 00:04:05,280 --> 00:04:07,800 Speaker 1: ever seen, and I've seen like dear Zachary, and somehow 69 00:04:07,840 --> 00:04:10,400 Speaker 1: it was like up there with it. It was good 70 00:04:10,440 --> 00:04:12,320 Speaker 1: man that I mean, I don't want to give anything, 71 00:04:12,520 --> 00:04:16,000 Speaker 1: but the one guy that was you know, this sort 72 00:04:16,040 --> 00:04:21,200 Speaker 1: of discosta that was It's kind of funny at first, 73 00:04:21,240 --> 00:04:22,960 Speaker 1: but then that got really sad to a lot of 74 00:04:22,960 --> 00:04:25,159 Speaker 1: a lot of layers and all of it was incredibly 75 00:04:25,200 --> 00:04:29,200 Speaker 1: sad that it was highly recommended. Yeah, just bizarre, man. 76 00:04:29,320 --> 00:04:31,360 Speaker 1: And then I was watching the credits and I saw 77 00:04:31,440 --> 00:04:34,640 Speaker 1: Darren aaron Oski was an executive producer. I'm like, okay, 78 00:04:35,240 --> 00:04:38,479 Speaker 1: you go. Now, thing suddenly clicked a little more. I 79 00:04:38,520 --> 00:04:40,560 Speaker 1: thought a great idea for a movie would be a 80 00:04:40,600 --> 00:04:42,960 Speaker 1: setting like that. You couldn't call it that because it's 81 00:04:42,960 --> 00:04:46,599 Speaker 1: I'm sure proprietary, but the town said, yeah, a setting 82 00:04:46,680 --> 00:04:49,200 Speaker 1: just like that where they wake up one day and 83 00:04:49,200 --> 00:04:52,599 Speaker 1: there's been a murder and then like you know, col McLaughlin, 84 00:04:52,640 --> 00:04:54,080 Speaker 1: it's kind of a twin peaksy thing, you know, the 85 00:04:54,560 --> 00:04:56,880 Speaker 1: stranger from a strange land comes in to investigate a 86 00:04:56,920 --> 00:04:59,760 Speaker 1: murder in a very unlikely place and all the sort 87 00:04:59,800 --> 00:05:01,040 Speaker 1: of or does there I think that would be a 88 00:05:01,080 --> 00:05:04,320 Speaker 1: cool movie or TV show. Well, I mean that is 89 00:05:04,360 --> 00:05:07,680 Speaker 1: Twin Peaks basically, right, But you could if you said 90 00:05:07,680 --> 00:05:11,120 Speaker 1: it in a retirement community in Florida, people, you could 91 00:05:11,120 --> 00:05:14,040 Speaker 1: just walk away dust in your hands off, like job. Well, 92 00:05:14,680 --> 00:05:16,080 Speaker 1: there's plenty of things that have done this. It's not 93 00:05:16,120 --> 00:05:18,440 Speaker 1: just Twin Peaks, sure, I know, just nobody did it 94 00:05:18,440 --> 00:05:22,320 Speaker 1: better than Twin Peaks. I A um, alright, so noise pollution. 95 00:05:23,400 --> 00:05:25,520 Speaker 1: I think the fact of the podcast to me came 96 00:05:25,600 --> 00:05:27,760 Speaker 1: right up front, and that I never thought of the 97 00:05:27,800 --> 00:05:32,200 Speaker 1: fact that a decibel was a tenth of a bull 98 00:05:33,320 --> 00:05:36,479 Speaker 1: or a bell, which his name is DECI right there. Yeah, 99 00:05:36,640 --> 00:05:38,560 Speaker 1: I know, I've never thought of it either, because you 100 00:05:38,640 --> 00:05:41,760 Speaker 1: never hear of any other variation. It's like one decibel, 101 00:05:41,800 --> 00:05:45,120 Speaker 1: ten decibles, a hundred decibles, you know. Um. And apparently 102 00:05:45,160 --> 00:05:48,479 Speaker 1: a bowl or bell b E L is named after 103 00:05:48,520 --> 00:05:51,560 Speaker 1: Alexander Graham Bell too. I didn't know that either. And 104 00:05:51,600 --> 00:05:54,760 Speaker 1: the reason why we why a decibel is used, which 105 00:05:54,800 --> 00:06:01,000 Speaker 1: is one tenth of a bell um, is because a decibel, 106 00:06:01,080 --> 00:06:04,080 Speaker 1: a one tenth of a bell difference in sound is 107 00:06:04,160 --> 00:06:10,480 Speaker 1: the lowest, the smallest difference that humans can detect. So 108 00:06:10,600 --> 00:06:14,719 Speaker 1: we trade in decibles here on, and we trade in 109 00:06:15,320 --> 00:06:18,600 Speaker 1: an algorithm when we talked decibles, because it's one of 110 00:06:18,640 --> 00:06:22,479 Speaker 1: those weird things where it's not like a hundred decibles, 111 00:06:22,560 --> 00:06:25,640 Speaker 1: is it twice as loud as fifty decibles. It's spit 112 00:06:25,680 --> 00:06:29,880 Speaker 1: into an equation that's actually one dred thousand times as loud. Yeah, 113 00:06:29,920 --> 00:06:35,320 Speaker 1: So so like ten decibles, the difference between ten decibles 114 00:06:35,320 --> 00:06:39,000 Speaker 1: and twenty decibles is twenty decibles is ten times louder. 115 00:06:39,200 --> 00:06:42,600 Speaker 1: The difference between ten decibles and thirty decibles, thirty decibles 116 00:06:42,600 --> 00:06:46,640 Speaker 1: is a hundred times louder. It's logarithms and zero dbs 117 00:06:46,960 --> 00:06:50,039 Speaker 1: as we'll call them. That is the threshold of human 118 00:06:50,080 --> 00:06:54,760 Speaker 1: hearing period. And a hundred and forty decibels is about 119 00:06:54,800 --> 00:06:58,760 Speaker 1: where you can start to experience literal physical pain from 120 00:06:58,800 --> 00:07:01,080 Speaker 1: a sound. Yeah, I saw between a hundred and twenty 121 00:07:01,080 --> 00:07:05,640 Speaker 1: and a hundred and forty. Yeah, it ranges like uh, 122 00:07:05,680 --> 00:07:10,120 Speaker 1: I mean I've been to some loud concerts and small venues. Yeah, 123 00:07:10,200 --> 00:07:13,240 Speaker 1: Dinosaur Junior at Variety Theater was it for me. I 124 00:07:13,280 --> 00:07:15,160 Speaker 1: was just about to say, Dinosaur Junior, they're one of 125 00:07:15,160 --> 00:07:19,400 Speaker 1: the legendary loud bands. It was insane. It is super loud, 126 00:07:19,440 --> 00:07:21,840 Speaker 1: but it's not like I don't remember feeling pain, but 127 00:07:21,880 --> 00:07:24,280 Speaker 1: I do remember feeling discomforted a couple of these where 128 00:07:24,320 --> 00:07:26,480 Speaker 1: I was like, jeez, this is like I like my 129 00:07:26,560 --> 00:07:28,760 Speaker 1: music loud, but this is a little much. Dude. Yeah, 130 00:07:28,800 --> 00:07:31,400 Speaker 1: like I don't wear your plugs. I wore your plugs 131 00:07:31,400 --> 00:07:33,640 Speaker 1: in that. And I was like, I'm saving myself right now. 132 00:07:33,720 --> 00:07:35,960 Speaker 1: It was so loud, and I meant to say Variety 133 00:07:35,960 --> 00:07:39,080 Speaker 1: Playhouse is not Variety Theater. Yeah, because we played there before. 134 00:07:39,080 --> 00:07:41,480 Speaker 1: We don't want a dis no, I know you know that. 135 00:07:42,960 --> 00:07:46,880 Speaker 1: But all of this to say, um god bless Jay Mascus. Yeah, no, 136 00:07:46,960 --> 00:07:49,720 Speaker 1: it was great, but it was really loud. What about 137 00:07:49,720 --> 00:07:52,080 Speaker 1: this conversation that we're having. What is that? Well, it 138 00:07:52,160 --> 00:07:57,400 Speaker 1: depends a normal conversation something around sixty decibls. And I 139 00:07:57,440 --> 00:08:01,080 Speaker 1: saw that that's people standing about a meter apart um 140 00:08:01,120 --> 00:08:04,600 Speaker 1: speaking without raising their voices. That's sixty decibles right there. 141 00:08:04,600 --> 00:08:08,120 Speaker 1: For a reference, What about a car. Cars are about 142 00:08:08,120 --> 00:08:11,920 Speaker 1: ten times louder to ten hundred to a thousand times 143 00:08:11,920 --> 00:08:14,920 Speaker 1: louder than normal conversation, depending on the car of the truck, 144 00:08:15,600 --> 00:08:20,560 Speaker 1: between seventy and ninety deciples. What about an airplane, So 145 00:08:20,760 --> 00:08:23,640 Speaker 1: you would think, okay, a normal conversation is sixty decibles, 146 00:08:24,160 --> 00:08:26,920 Speaker 1: airplane being a hundred twenty desciples is twice as loud. No, 147 00:08:27,040 --> 00:08:36,560 Speaker 1: my friend, it's it's a hundred thousand times louder. An 148 00:08:36,600 --> 00:08:39,800 Speaker 1: airplane is a hundred thousand times louder than a normal 149 00:08:39,840 --> 00:08:43,320 Speaker 1: conversation if it reaches a hundred and twenty decibles. All right, 150 00:08:43,440 --> 00:08:46,640 Speaker 1: If you've ever been on a tarmac, uh like a 151 00:08:46,679 --> 00:08:49,480 Speaker 1: live tarmac and heard a plane kind of landing or 152 00:08:49,520 --> 00:08:52,920 Speaker 1: taking off, you that's just some loud stuff. Yes, and 153 00:08:52,920 --> 00:08:54,920 Speaker 1: that's why they wear those cans on their ears. Yeah, 154 00:08:55,000 --> 00:08:57,920 Speaker 1: they and they definitely should because we're starting to realize 155 00:08:57,920 --> 00:09:00,520 Speaker 1: that there's all sorts of hearing loss, sides of the 156 00:09:00,559 --> 00:09:03,160 Speaker 1: traditional ones that you can pick up on a regular 157 00:09:03,200 --> 00:09:05,959 Speaker 1: hearing test. There's something called hidden hearing loss that we're 158 00:09:05,960 --> 00:09:10,240 Speaker 1: just starting to get our mind around, where the structure 159 00:09:10,760 --> 00:09:14,800 Speaker 1: of your hearing apparatus in your ear, the little sillia 160 00:09:14,920 --> 00:09:17,160 Speaker 1: that's almost like a venus fly trap trigger hair, but 161 00:09:17,320 --> 00:09:21,280 Speaker 1: for sound instead. Um like, those things can be intact, 162 00:09:21,960 --> 00:09:24,960 Speaker 1: but the neurons that form the chain between your ear 163 00:09:25,080 --> 00:09:28,599 Speaker 1: and your brain can be permanently damaged so that the 164 00:09:29,040 --> 00:09:32,640 Speaker 1: sound that gets to your brain is garbled or or 165 00:09:33,000 --> 00:09:35,960 Speaker 1: partially missing. And that's a huge thing that can happen 166 00:09:36,000 --> 00:09:39,679 Speaker 1: at much lower intensity than than we understood before. And 167 00:09:39,840 --> 00:09:41,800 Speaker 1: speaking of intensity, I think we should say real quick, 168 00:09:42,000 --> 00:09:45,440 Speaker 1: a decibel to us humans, we we basically talk in 169 00:09:45,480 --> 00:09:49,240 Speaker 1: decibels as like a measure of volume, because that's what 170 00:09:49,360 --> 00:09:52,559 Speaker 1: it appears to like us, like an increase in decibels 171 00:09:52,640 --> 00:09:54,800 Speaker 1: is an increase in the volume of the sound. But 172 00:09:54,920 --> 00:09:58,800 Speaker 1: really what a decibels measuring is the intensity of the 173 00:09:58,880 --> 00:10:03,240 Speaker 1: disturbance of an air of the air that's something has made. 174 00:10:03,440 --> 00:10:05,560 Speaker 1: So if you're really close to that disturbance, it's going 175 00:10:05,559 --> 00:10:08,760 Speaker 1: to be a very intense exposure to your ear. If 176 00:10:08,760 --> 00:10:10,959 Speaker 1: you're further away, it's going to be a much less 177 00:10:11,000 --> 00:10:14,320 Speaker 1: intense intense exposure because it kind of dissipates over distances. 178 00:10:15,200 --> 00:10:18,400 Speaker 1: But to you, it's just registering is a difference in volume, 179 00:10:18,400 --> 00:10:21,079 Speaker 1: where really it's a difference in the intensity of the 180 00:10:21,120 --> 00:10:25,560 Speaker 1: wave that's being produced that's traveling through the air. That's right. 181 00:10:25,840 --> 00:10:29,840 Speaker 1: And uh, this is all sound. Yes, that's not noise. 182 00:10:29,960 --> 00:10:32,520 Speaker 1: Noise is different. Noise is what we're talking about. Mainly. 183 00:10:33,040 --> 00:10:38,240 Speaker 1: A noise is classified as unwanted sound. Yeah, that can 184 00:10:38,360 --> 00:10:42,240 Speaker 1: vary depending on who you are, obviously. Uh, you know, 185 00:10:42,440 --> 00:10:47,040 Speaker 1: the sound of your significant other's voice after forty years, 186 00:10:47,080 --> 00:10:51,560 Speaker 1: maybe noise to you asking for some tea. The sound 187 00:10:51,600 --> 00:10:54,960 Speaker 1: of a Harley Davidson motorcycle being rebbed up in front 188 00:10:55,000 --> 00:10:58,200 Speaker 1: of your house might be noise. Or those uh, those 189 00:10:58,240 --> 00:11:02,120 Speaker 1: blowers that used to hay until you love and use. 190 00:11:02,440 --> 00:11:04,480 Speaker 1: I still don't love it, and I went battery powered, 191 00:11:04,520 --> 00:11:06,640 Speaker 1: but it's still even while I'm using, I'm like, I'm 192 00:11:06,640 --> 00:11:10,000 Speaker 1: a terrible person. But you get it done quickly, probably right, 193 00:11:10,080 --> 00:11:13,040 Speaker 1: so quick, so quick. I'm like mincing and prancing, just 194 00:11:13,040 --> 00:11:16,160 Speaker 1: getting in ton Uh. And there's a lot of kinds 195 00:11:16,160 --> 00:11:21,000 Speaker 1: of different noise. Um. Sometimes, like let's say you work 196 00:11:21,000 --> 00:11:25,000 Speaker 1: in a in a machine shop or something and you 197 00:11:25,120 --> 00:11:28,920 Speaker 1: use a machine, like the the sound the machine makes 198 00:11:29,880 --> 00:11:34,480 Speaker 1: is like it's not necessary, but it's it's a byproduct. Uh, 199 00:11:34,480 --> 00:11:37,920 Speaker 1: it's a result of the machine. Working correctly. It's not like, well, 200 00:11:38,000 --> 00:11:39,560 Speaker 1: let's just make this thing loud. It's like, well, I'm 201 00:11:39,600 --> 00:11:42,520 Speaker 1: sorry that Jackammer is going to be loud, because that's 202 00:11:42,520 --> 00:11:44,960 Speaker 1: just the way it goes. My friends are are Jackammer. 203 00:11:44,960 --> 00:11:50,120 Speaker 1: Episode is fantastic. Um. So that sound isn't necessarily noise, 204 00:11:50,240 --> 00:11:53,360 Speaker 1: but the intensity and repetition of that sound makes it 205 00:11:53,400 --> 00:11:57,240 Speaker 1: becomes noise. Yeah. Yeah, it's an unwanted intensity, or it 206 00:11:57,360 --> 00:12:00,840 Speaker 1: can just the sound existing itself, like you're saying, like 207 00:12:00,840 --> 00:12:05,640 Speaker 1: a leafblower, just an unwanted existence of sound. So either way, 208 00:12:05,679 --> 00:12:11,120 Speaker 1: the operative thing is it's unwanted sound. That's the key, right. Yeah. 209 00:12:11,160 --> 00:12:13,559 Speaker 1: And and this is another cool fact of the episode 210 00:12:13,559 --> 00:12:16,280 Speaker 1: I think is that, uh they they think that as 211 00:12:16,360 --> 00:12:20,080 Speaker 1: late as through the nineteen forties and into nineteen fifty, 212 00:12:20,320 --> 00:12:23,240 Speaker 1: natural sounds were still the dominant sounds that you heard, 213 00:12:24,440 --> 00:12:28,000 Speaker 1: um and then things really changed. Yeah, because there's a 214 00:12:28,080 --> 00:12:30,640 Speaker 1: there's a big qualifier that a lot of researchers make 215 00:12:30,720 --> 00:12:34,719 Speaker 1: that and not everybody does, But that noise is by 216 00:12:34,800 --> 00:12:39,920 Speaker 1: definition human caused, like either we're yelling or whatever, um 217 00:12:40,080 --> 00:12:43,439 Speaker 1: or one of the machines that we've created is making noise. 218 00:12:43,520 --> 00:12:46,000 Speaker 1: But that you wouldn't say, like the sound of that 219 00:12:46,040 --> 00:12:49,679 Speaker 1: waterfall is noise. Like we don't think of like natural 220 00:12:49,760 --> 00:12:53,800 Speaker 1: sounds typically as noise. It's just sounds. And as we'll see, 221 00:12:53,960 --> 00:12:58,040 Speaker 1: it's probably because we have been living, like our species 222 00:12:58,080 --> 00:13:02,079 Speaker 1: has been living around those sounds and has definitively excluded 223 00:13:02,120 --> 00:13:05,679 Speaker 1: them as threatening, so that there they don't They don't 224 00:13:05,800 --> 00:13:10,200 Speaker 1: produce like an irritation in us. They just are sound, 225 00:13:10,720 --> 00:13:14,920 Speaker 1: almost regardless of how intense they are, right and that 226 00:13:15,080 --> 00:13:19,000 Speaker 1: and again that irritation is subjective because that rock concert 227 00:13:19,080 --> 00:13:23,320 Speaker 1: that I enjoy, someone else might call that noise. That uh, 228 00:13:23,400 --> 00:13:26,960 Speaker 1: that Space Shuttle launch that is super loud might be 229 00:13:27,040 --> 00:13:30,000 Speaker 1: noise to some people, but to others, you know, it's 230 00:13:30,040 --> 00:13:33,200 Speaker 1: the same sound, but they they don't think of it 231 00:13:33,200 --> 00:13:36,640 Speaker 1: as noise because they're excited and exhilarated in the moment 232 00:13:36,720 --> 00:13:39,440 Speaker 1: to see and hear that thing. Yeah. So you know 233 00:13:39,520 --> 00:13:44,280 Speaker 1: the other night, Uh, the inspiration for um crew came 234 00:13:44,320 --> 00:13:47,200 Speaker 1: back on the Dragon Capsule. Did you watch that? No? 235 00:13:47,360 --> 00:13:49,760 Speaker 1: Did you? Did you see it live? Uh? We didn't 236 00:13:49,800 --> 00:13:51,920 Speaker 1: see it because they splashed down in the Atlantic, but 237 00:13:52,000 --> 00:13:54,040 Speaker 1: we heard the sonic boom it made when it came 238 00:13:54,120 --> 00:13:57,239 Speaker 1: back into the atmosphere over Florida. It was a stounding 239 00:13:58,280 --> 00:14:01,520 Speaker 1: Did you see that sonic boom? No? I didn't. Oh, 240 00:14:01,559 --> 00:14:04,559 Speaker 1: it's really good. It starts off like, oh god, this 241 00:14:04,640 --> 00:14:07,560 Speaker 1: is not good. This is like a terrible corporate ad, 242 00:14:08,240 --> 00:14:10,920 Speaker 1: and then it really starts to find its feet. It's 243 00:14:11,160 --> 00:14:13,880 Speaker 1: it's crazy how it evolves over like just the first 244 00:14:13,920 --> 00:14:17,200 Speaker 1: couple episodes. I gotta see it. It's good. It's definitely 245 00:14:17,240 --> 00:14:20,760 Speaker 1: worth seeing. Um what other kinds of noise. You've got 246 00:14:20,760 --> 00:14:24,840 Speaker 1: industrial noise, which that's classified as kind of from the 247 00:14:24,880 --> 00:14:27,800 Speaker 1: beginning of the process all the way to the end 248 00:14:27,840 --> 00:14:31,560 Speaker 1: of any kind of industrial process, and that's basically called 249 00:14:31,600 --> 00:14:35,520 Speaker 1: continuous noise. Uh, from you know, raw materials all the 250 00:14:35,560 --> 00:14:38,880 Speaker 1: way to the to the end disposal of whatever byproducts 251 00:14:38,880 --> 00:14:41,000 Speaker 1: can usually cause a lot of racket. Yeah. So like 252 00:14:41,040 --> 00:14:44,200 Speaker 1: you know, like um, like a generator humming or something 253 00:14:44,240 --> 00:14:46,840 Speaker 1: like that. There's not a lot of variation in intensity. 254 00:14:46,920 --> 00:14:52,720 Speaker 1: It's basically this um or steam being released or even 255 00:14:52,760 --> 00:14:56,920 Speaker 1: like a rhythmic like um, like a like something being 256 00:14:57,040 --> 00:15:00,880 Speaker 1: like hammered, no, not hammered. That a difference that's called 257 00:15:00,920 --> 00:15:04,920 Speaker 1: the impulsive noise. But um, just something that doesn't really vary. 258 00:15:04,960 --> 00:15:08,040 Speaker 1: It's just kind of a monotonous sound. That's that's this 259 00:15:08,240 --> 00:15:11,160 Speaker 1: kind of a subcategory called continuous sound. And it just 260 00:15:11,200 --> 00:15:17,280 Speaker 1: so happens that most industrial processes are continuous in nature, right, 261 00:15:17,360 --> 00:15:20,320 Speaker 1: whereas a train going by your house, or a plane 262 00:15:20,320 --> 00:15:23,920 Speaker 1: flying or a car going by or a siren is intermittent. Yeah. 263 00:15:23,960 --> 00:15:26,280 Speaker 1: And then also you could probably say, like if you 264 00:15:26,440 --> 00:15:30,680 Speaker 1: held the trigger down on a backpack leafblower, um, which 265 00:15:30,720 --> 00:15:34,000 Speaker 1: again is the worst thing that anyone's ever invented, but 266 00:15:34,080 --> 00:15:36,720 Speaker 1: if you held it down, that would be a continuous 267 00:15:36,760 --> 00:15:39,280 Speaker 1: sound for the whole time it was going. But no 268 00:15:39,360 --> 00:15:43,840 Speaker 1: one does that ever. They just rev in this rhythmic 269 00:15:44,400 --> 00:15:48,320 Speaker 1: pattern that your brain is just just giving. It's all 270 00:15:48,400 --> 00:15:51,480 Speaker 1: to trying to try to find a pattern in. And 271 00:15:51,560 --> 00:15:54,240 Speaker 1: so you get worn out and irritated so quickly because 272 00:15:54,240 --> 00:15:56,120 Speaker 1: of those things, because they don't follow rhyme or reason. 273 00:15:56,360 --> 00:16:00,840 Speaker 1: And in conjunction with that, it's an intermittent sound, so, 274 00:16:01,040 --> 00:16:02,800 Speaker 1: which is, from what I can tell, one of the 275 00:16:02,800 --> 00:16:05,680 Speaker 1: worst sounds for us. Right. And then you've also got 276 00:16:05,720 --> 00:16:09,080 Speaker 1: community noise, which is just people noise. I think the 277 00:16:09,160 --> 00:16:14,720 Speaker 1: leafblowers are thrown into that lawnmowers. Uh. You know, if 278 00:16:14,720 --> 00:16:18,320 Speaker 1: you've got a festival in your neighborhood, or fireworks on 279 00:16:18,360 --> 00:16:20,600 Speaker 1: the Fourth of July, or people playing their music in 280 00:16:20,640 --> 00:16:23,120 Speaker 1: their cards and their houses. This is all just sort 281 00:16:23,160 --> 00:16:28,040 Speaker 1: of people generated, generated community sound. So those are basically 282 00:16:28,080 --> 00:16:32,440 Speaker 1: the three categories that I saw, industrial trafficking community. Should 283 00:16:32,440 --> 00:16:34,760 Speaker 1: we take a break? I think we should. All right, 284 00:16:34,840 --> 00:16:37,040 Speaker 1: We'll be right back. I'm gonna go quiet down that 285 00:16:37,120 --> 00:17:04,040 Speaker 1: racket outside. I'll be right back. Okay, do you finish 286 00:17:04,080 --> 00:17:07,920 Speaker 1: shaking your fist at those teenagers on your lawn. I'm 287 00:17:07,960 --> 00:17:10,560 Speaker 1: lucky because we don't have loud We don't have one 288 00:17:10,560 --> 00:17:13,000 Speaker 1: neighbor on one side, and our neighbor beside us is 289 00:17:13,000 --> 00:17:15,440 Speaker 1: pretty quiet. But I do live near and I've talked 290 00:17:15,480 --> 00:17:19,399 Speaker 1: about it before, a pretty main road, and you you 291 00:17:19,480 --> 00:17:21,359 Speaker 1: kind of get used to it. But I also yearn 292 00:17:21,600 --> 00:17:24,320 Speaker 1: you know, to be a few blocks in. But you know, 293 00:17:24,440 --> 00:17:26,480 Speaker 1: you can't pick up your house and move it. So 294 00:17:26,520 --> 00:17:27,800 Speaker 1: what are you gonna do? You get used to it? 295 00:17:28,160 --> 00:17:31,560 Speaker 1: You can, but it's really expensive. Well, no, that is true. 296 00:17:31,600 --> 00:17:33,679 Speaker 1: You can move a house sometimes. Didn't we do an 297 00:17:33,680 --> 00:17:36,560 Speaker 1: episode on that once? How to Move a House? Yeah? 298 00:17:36,800 --> 00:17:38,679 Speaker 1: I think I don't know if we did one just 299 00:17:38,760 --> 00:17:41,360 Speaker 1: on that. It may been like historic districts or something. 300 00:17:41,400 --> 00:17:43,600 Speaker 1: I don't know. And by the way, that episode we 301 00:17:43,600 --> 00:17:47,240 Speaker 1: couldn't think of the other day was crumple zones. Oh boys, 302 00:17:47,240 --> 00:17:49,639 Speaker 1: So we did do a whole episode on crumple zones. 303 00:17:49,920 --> 00:17:52,560 Speaker 1: We did. Boy, we were scraping the bottom of the 304 00:17:52,560 --> 00:17:56,160 Speaker 1: barrel there. But I remember that being an interesting episode though. 305 00:17:56,160 --> 00:17:59,040 Speaker 1: It was totally interesting. Well that's the stuff you should know, way, 306 00:17:59,160 --> 00:18:02,280 Speaker 1: isn't it, Chuck? Uh? It is? Indeed, should we talk 307 00:18:02,320 --> 00:18:06,400 Speaker 1: about hearing damage? Yeah, So, like I was saying, there's 308 00:18:06,440 --> 00:18:08,879 Speaker 1: that the kind of new type of hearing damage that 309 00:18:08,920 --> 00:18:11,840 Speaker 1: we're wrapping our minds around. That is like the death 310 00:18:11,920 --> 00:18:14,879 Speaker 1: of the neurons that are supposed to transmit the electrical 311 00:18:14,880 --> 00:18:18,480 Speaker 1: impulse to the brain, and so we don't hear very well. 312 00:18:18,720 --> 00:18:21,760 Speaker 1: Our our communication is garbled, and yet you can pass 313 00:18:21,960 --> 00:18:26,920 Speaker 1: a traditional hearing tests no problem. Um. But other research 314 00:18:27,000 --> 00:18:32,560 Speaker 1: is really starting to unfold, like less um less predictable 315 00:18:32,600 --> 00:18:36,160 Speaker 1: ways that that noise and noise pollution actually affects our health. 316 00:18:36,200 --> 00:18:40,120 Speaker 1: And it's like our entire system is negatively affected by 317 00:18:40,160 --> 00:18:44,399 Speaker 1: noise and noise exposure. It is, and it it basically 318 00:18:44,560 --> 00:18:48,280 Speaker 1: at the beginning of the whole process is triggering the 319 00:18:48,320 --> 00:18:51,960 Speaker 1: same exact thing that triggers your fight or flight response. Uh, 320 00:18:52,000 --> 00:18:55,320 Speaker 1: Like you're gonna have the same reaction to you know, 321 00:18:55,440 --> 00:18:58,920 Speaker 1: if you hear uh a siren go by, the same 322 00:18:58,960 --> 00:19:01,480 Speaker 1: thing is happening in your as far as your brain knows. 323 00:19:01,920 --> 00:19:04,960 Speaker 1: Then what happens if like a bear walks up to 324 00:19:05,000 --> 00:19:09,400 Speaker 1: you and roarers. Yeah, So, like our our hearing is 325 00:19:09,480 --> 00:19:13,560 Speaker 1: always on and it's always on the lookout for, um, 326 00:19:13,880 --> 00:19:16,080 Speaker 1: a potential threat. And one of the ways that a 327 00:19:16,119 --> 00:19:19,240 Speaker 1: potential threat can give itself away is by making a sound. Right. 328 00:19:19,480 --> 00:19:21,680 Speaker 1: It was, like I was saying earlier, Like we've been 329 00:19:21,680 --> 00:19:24,800 Speaker 1: around waterfalls and the sound of waves in our evolutionary 330 00:19:24,880 --> 00:19:27,840 Speaker 1: history for so long that basically it seems like when 331 00:19:27,840 --> 00:19:31,119 Speaker 1: you're born, you come equipped with this. Don't worry about 332 00:19:31,119 --> 00:19:33,760 Speaker 1: that sound. Actually you can be soothed by it. It's 333 00:19:33,800 --> 00:19:36,600 Speaker 1: not something that should stimulate your fight or flight response. 334 00:19:37,000 --> 00:19:41,280 Speaker 1: But we've lived around industrial machinery and the sound of 335 00:19:41,359 --> 00:19:45,320 Speaker 1: a text message or a leaf blower, the stupid leaf 336 00:19:45,359 --> 00:19:49,000 Speaker 1: blowers for such a little amount of our evolutionary history 337 00:19:49,040 --> 00:19:51,960 Speaker 1: that our minds are not at all attuned to those 338 00:19:52,000 --> 00:19:56,480 Speaker 1: things or um, we haven't kind of adopted this idea 339 00:19:56,520 --> 00:19:59,600 Speaker 1: that a leafblower is non threatening and so it stimulates 340 00:19:59,640 --> 00:20:01,600 Speaker 1: the fight flight response and is when we hear it. 341 00:20:02,760 --> 00:20:06,399 Speaker 1: That's right, So you're gonna hear that sound, you're amygdala, 342 00:20:06,480 --> 00:20:11,040 Speaker 1: which we've talked about plenty uh contributes to emotional processing, 343 00:20:11,160 --> 00:20:15,160 Speaker 1: is going to send that same distress signal to the hypothalamus. Again, 344 00:20:15,600 --> 00:20:17,920 Speaker 1: that gets if you are in a fight or flight response, 345 00:20:18,400 --> 00:20:20,600 Speaker 1: which is why you probably want to run screaming if 346 00:20:20,640 --> 00:20:23,760 Speaker 1: you here too many sirens, you're here too many leaf blowers, 347 00:20:24,600 --> 00:20:28,360 Speaker 1: and then that's gonna signal your adrenal glands to get 348 00:20:28,400 --> 00:20:32,960 Speaker 1: your adrenaline going. And I believe cortisol gets going as well. 349 00:20:33,920 --> 00:20:36,600 Speaker 1: It's like literally mimicking fight or flight. Yeah, And so 350 00:20:36,640 --> 00:20:40,160 Speaker 1: they figured out that like people who are continuously chronically 351 00:20:40,280 --> 00:20:42,800 Speaker 1: exposed to sound, like say people who live like really 352 00:20:42,800 --> 00:20:46,080 Speaker 1: close to an airport, really close to the subway tracks, 353 00:20:46,320 --> 00:20:51,040 Speaker 1: or um, people who work in a really noisy factory, 354 00:20:51,080 --> 00:20:55,080 Speaker 1: they have all sorts of crazy random health problems, like 355 00:20:55,320 --> 00:20:59,040 Speaker 1: their kids sometimes have low birth weight. Obviously, they can 356 00:20:59,080 --> 00:21:04,960 Speaker 1: develop tonitus um heart disease, obesity, diabetes, UH. There, their 357 00:21:05,040 --> 00:21:08,440 Speaker 1: children who are exposed to to chronic noise can have 358 00:21:08,600 --> 00:21:12,600 Speaker 1: UM cognitive impairments, um, high blood pressure, like all sorts 359 00:21:12,600 --> 00:21:15,880 Speaker 1: of crazy stuff. And so you think, well, okay, that's 360 00:21:16,000 --> 00:21:19,240 Speaker 1: that's like, that's terrible anybody who has to live near 361 00:21:19,280 --> 00:21:21,440 Speaker 1: noise or work near noise, like we should do something 362 00:21:21,440 --> 00:21:24,160 Speaker 1: about that. But it's even worse than that, Like, noise 363 00:21:24,160 --> 00:21:27,720 Speaker 1: pollution is even more insidious than that, because you don't 364 00:21:27,760 --> 00:21:30,000 Speaker 1: have to be chronically exposed to it. You don't have 365 00:21:30,080 --> 00:21:32,280 Speaker 1: to live in a place where you're like, this is 366 00:21:32,320 --> 00:21:35,080 Speaker 1: an objectively noisy place that I live or work in 367 00:21:35,560 --> 00:21:40,800 Speaker 1: to still suffer from the effects of noise pollution. Yeah, 368 00:21:40,920 --> 00:21:43,040 Speaker 1: I mean it can affect you when you're sleep because, 369 00:21:43,080 --> 00:21:44,840 Speaker 1: like you said, your ears are always on. It's not 370 00:21:44,880 --> 00:21:46,960 Speaker 1: like you go to sleep and the ears say, well, 371 00:21:46,960 --> 00:21:49,080 Speaker 1: I'm gonna take a nice break. That would be a 372 00:21:49,119 --> 00:21:54,600 Speaker 1: fantastic evolutionary addaptation. Actually, well, actually it would these days. 373 00:21:55,000 --> 00:21:58,680 Speaker 1: It wouldn't be the mountains, the mountain lions, saber tooth 374 00:21:58,680 --> 00:22:01,000 Speaker 1: tiger days. Yeah. Nice. If there was a switch and 375 00:22:01,040 --> 00:22:03,240 Speaker 1: you could kind of control that, it would be so nice. 376 00:22:03,280 --> 00:22:06,760 Speaker 1: I think the switches, the white noise wave machine is 377 00:22:06,880 --> 00:22:10,760 Speaker 1: that switch, Yeah, which I've gotten addicted to such that 378 00:22:11,280 --> 00:22:14,080 Speaker 1: I have to travel with him now. Yeah, everywhere I 379 00:22:14,119 --> 00:22:16,280 Speaker 1: go I've heard that. Yeah. Basically, once you start, you 380 00:22:16,320 --> 00:22:18,439 Speaker 1: can't go back. Yeah, I like it, though, I do. 381 00:22:18,520 --> 00:22:21,600 Speaker 1: Brown noise is my drug of choice. It sounds so 382 00:22:21,680 --> 00:22:27,680 Speaker 1: gross though brown. Yeah. I make a brown noise every morning, 383 00:22:27,720 --> 00:22:31,040 Speaker 1: you know what I mean? Wow, I was not expecting 384 00:22:31,119 --> 00:22:34,719 Speaker 1: danger Field to make an appearance. Well that's what you meant, right, 385 00:22:34,720 --> 00:22:37,240 Speaker 1: poop or no? Yeah, I mean I guess anytime I 386 00:22:37,280 --> 00:22:41,160 Speaker 1: hear brown, I think it's poop. You know, you think 387 00:22:41,160 --> 00:22:43,480 Speaker 1: of that or you think of ween the band, did 388 00:22:43,480 --> 00:22:46,320 Speaker 1: they have a brown song or album? They talk about 389 00:22:46,480 --> 00:22:50,199 Speaker 1: the brown thing, the brown sound, and brown is just 390 00:22:50,240 --> 00:22:51,880 Speaker 1: sort of their color and how they used to talk 391 00:22:51,880 --> 00:22:54,320 Speaker 1: about sound. And I've heard other groups talk about brown sounds. 392 00:22:54,320 --> 00:22:57,199 Speaker 1: So what does brown sound sound like? Well, brown noise, 393 00:22:57,320 --> 00:23:06,320 Speaker 1: you know if white noises, brown noises o middle. Yeah, 394 00:23:06,320 --> 00:23:08,399 Speaker 1: it's sort of a lower lower end. And if you 395 00:23:08,400 --> 00:23:10,720 Speaker 1: actually play it through a speaker, like if you put 396 00:23:10,720 --> 00:23:12,360 Speaker 1: it on your phone and play it through a little bluetooth, 397 00:23:12,640 --> 00:23:14,720 Speaker 1: you can get some good base and it just it 398 00:23:14,760 --> 00:23:17,320 Speaker 1: really works. Wonders for me. I should try brown noise 399 00:23:17,440 --> 00:23:20,719 Speaker 1: or even white noise. I've been using um chrome noise 400 00:23:21,320 --> 00:23:24,119 Speaker 1: where it's like, kid, do do do do do, And 401 00:23:24,200 --> 00:23:27,439 Speaker 1: it's really not helping me sleep at all. You're like, 402 00:23:28,400 --> 00:23:31,480 Speaker 1: you're like, I have the sound of a early Internet 403 00:23:31,480 --> 00:23:38,159 Speaker 1: connection being made a constant um. Did they ever name that? 404 00:23:38,160 --> 00:23:41,119 Speaker 1: They should have named that great? Yeah, I don't know. 405 00:23:41,359 --> 00:23:43,879 Speaker 1: I just call it whatever it was. They called it 406 00:23:43,960 --> 00:23:50,159 Speaker 1: the ticket wichet um. Interrupted sleep, though, that's that's the 407 00:23:50,200 --> 00:23:52,320 Speaker 1: big problem, or one of the big problems, because your 408 00:23:52,320 --> 00:23:55,879 Speaker 1: ears are always on. If you have uninterrupted sleep or 409 00:23:56,240 --> 00:23:59,840 Speaker 1: poor sleep overall, you're gonna be tired. Obviously, your creativity, 410 00:24:00,119 --> 00:24:02,840 Speaker 1: memory can get impaired. Your creativity is going to be low. 411 00:24:03,400 --> 00:24:08,080 Speaker 1: You're gonna have impaired judgment, your psychomotor skills might be impacted. 412 00:24:08,720 --> 00:24:10,960 Speaker 1: You might have more headaches. They've done studies. If you 413 00:24:11,040 --> 00:24:14,320 Speaker 1: live near airports and stuff like that, or uh, you know, 414 00:24:14,359 --> 00:24:16,640 Speaker 1: next to like a rail yard, you're gonna have more headaches. 415 00:24:16,640 --> 00:24:19,960 Speaker 1: You might take more sleeping pills as a result. Um, 416 00:24:20,160 --> 00:24:23,399 Speaker 1: you might be more prone to minor accidents, and you 417 00:24:23,400 --> 00:24:26,560 Speaker 1: are going to be more prone to seek uh psychiatric 418 00:24:26,560 --> 00:24:29,760 Speaker 1: treatment in your life. They like studies have shown this. Yeah, 419 00:24:29,760 --> 00:24:34,359 Speaker 1: there's a study of people living near European airports. They 420 00:24:34,359 --> 00:24:38,240 Speaker 1: found a tendestible increase in aircraft noise was associated with 421 00:24:38,280 --> 00:24:42,159 Speaker 1: a twenty eight percent increase in anxiety medication, and that 422 00:24:42,240 --> 00:24:46,600 Speaker 1: people um were also likelier to have more likely to 423 00:24:46,640 --> 00:24:50,359 Speaker 1: have symptoms of depression. So again all this is just 424 00:24:50,440 --> 00:24:53,520 Speaker 1: from like having not good sleep, which is bad enough, 425 00:24:54,160 --> 00:24:57,160 Speaker 1: but apparently Chuck it even gets worse because even if 426 00:24:57,240 --> 00:25:00,560 Speaker 1: your sleep isn't disturbed where you're waking up and not 427 00:25:00,720 --> 00:25:04,080 Speaker 1: getting sleep because of noise, like you get used to it, 428 00:25:05,359 --> 00:25:08,919 Speaker 1: the noise is still affecting you while you're sleeping because again, 429 00:25:09,119 --> 00:25:12,119 Speaker 1: your ear never turns off. It's always on the listen 430 00:25:12,200 --> 00:25:15,080 Speaker 1: out for some sort of threat creeping up on you. 431 00:25:15,440 --> 00:25:18,040 Speaker 1: And so if you're exposed to noise while you're sleeping, 432 00:25:18,520 --> 00:25:22,320 Speaker 1: it's still has that stress effect on you. And what 433 00:25:22,359 --> 00:25:25,040 Speaker 1: they've figured out is that one of the problems of 434 00:25:25,200 --> 00:25:28,240 Speaker 1: just being chronically stressed through something like noise and I 435 00:25:28,240 --> 00:25:32,440 Speaker 1: think stress in general, is that UM it affects I 436 00:25:32,440 --> 00:25:35,720 Speaker 1: think it's called the end athelium, which is the lining 437 00:25:35,760 --> 00:25:39,639 Speaker 1: of your blood vessels, and they respond to chemicals that 438 00:25:39,720 --> 00:25:43,480 Speaker 1: tell them to constrict to relax UM, and they get 439 00:25:43,520 --> 00:25:47,119 Speaker 1: constricted when they get stressed, when they're exposed to stress 440 00:25:47,160 --> 00:25:50,240 Speaker 1: like cortisol or something like that comes along and says constrict. 441 00:25:50,680 --> 00:25:52,840 Speaker 1: And when they do that, you get high blood pressure. 442 00:25:53,040 --> 00:25:55,119 Speaker 1: You can end up with heart disease, you can end 443 00:25:55,200 --> 00:25:58,719 Speaker 1: up suffering from heart attacks. And what's insane is they 444 00:25:58,800 --> 00:26:03,800 Speaker 1: figured out that after one night of being exposed while 445 00:26:03,840 --> 00:26:09,440 Speaker 1: you're sleeping to something like train sounds um your endothelium 446 00:26:10,040 --> 00:26:13,960 Speaker 1: it starts suffering, like it doesn't function as well after 447 00:26:14,119 --> 00:26:17,800 Speaker 1: just one night of that. Right, Like, isn't the idea 448 00:26:18,280 --> 00:26:21,760 Speaker 1: that you can have no other sort of poor health 449 00:26:21,840 --> 00:26:24,439 Speaker 1: markers and it can actually be brought on because of 450 00:26:24,480 --> 00:26:27,439 Speaker 1: this noise. Right, Yes, while you're sleeping, you're still getting sleep, 451 00:26:27,480 --> 00:26:29,760 Speaker 1: but it's still happening to you while you're sleeping. And 452 00:26:29,800 --> 00:26:34,280 Speaker 1: not only like high blood pressure um or um like 453 00:26:34,320 --> 00:26:36,680 Speaker 1: a heart attack or something like that coming down the road, 454 00:26:36,920 --> 00:26:40,240 Speaker 1: but also like diabetes, obesity. There's a lot of things 455 00:26:40,320 --> 00:26:44,240 Speaker 1: that we're figuring out are are tied to the lining 456 00:26:44,280 --> 00:26:46,679 Speaker 1: of the blood vessels and whether they're healthy or not. 457 00:26:47,040 --> 00:26:49,840 Speaker 1: It's a huge predictor of a whole range of diseases. 458 00:26:50,119 --> 00:26:55,880 Speaker 1: And when you hear noise, that's your stressors trigger your 459 00:26:56,040 --> 00:26:59,080 Speaker 1: endothelium to constrict, and that is a really bad thing. 460 00:27:00,280 --> 00:27:03,439 Speaker 1: It is um here in the United States. We kind 461 00:27:03,440 --> 00:27:07,000 Speaker 1: of started studying the stuff in earnest in the seventies. 462 00:27:08,040 --> 00:27:11,240 Speaker 1: That was when uh pollution was a big deal just 463 00:27:11,320 --> 00:27:14,000 Speaker 1: all around in the United States, and we started to 464 00:27:14,000 --> 00:27:16,879 Speaker 1: say things like, hey, maybe you shouldn't just um have 465 00:27:16,960 --> 00:27:20,159 Speaker 1: a family picnic and then just uh pick up your 466 00:27:20,160 --> 00:27:22,639 Speaker 1: blanket and dump all the trash on the ground like 467 00:27:22,680 --> 00:27:25,840 Speaker 1: they did on that episode of Madmen and on Anchorman 468 00:27:25,920 --> 00:27:30,400 Speaker 1: where they're all eating McDonald's And I saw a guy 469 00:27:30,480 --> 00:27:35,600 Speaker 1: throw a fully like McDonald's thing out the window day 470 00:27:35,640 --> 00:27:37,720 Speaker 1: the day and smashed on the sidewalk. Oh my god, 471 00:27:37,800 --> 00:27:40,760 Speaker 1: And I was just like, who who does that? Still, Yeah, 472 00:27:40,920 --> 00:27:44,320 Speaker 1: that's the problem is is we're at a place in 473 00:27:44,320 --> 00:27:47,879 Speaker 1: in our country's history where if you confront people like that, 474 00:27:47,960 --> 00:27:50,600 Speaker 1: there's a chance you're gonna get shot for confronting someone 475 00:27:50,640 --> 00:27:53,119 Speaker 1: like that. But I don't confront But that's like, that 476 00:27:53,280 --> 00:27:56,360 Speaker 1: isn't the kind of behavior you should under normal circumstances, 477 00:27:56,400 --> 00:28:00,280 Speaker 1: non shooting circumstances, feel perfectly fine confronting somebody about like 478 00:28:00,359 --> 00:28:02,640 Speaker 1: what what is wrong with you? Like we're so far 479 00:28:02,720 --> 00:28:06,200 Speaker 1: beyond that, Like everyone knows you shouldn't do that. It's 480 00:28:06,240 --> 00:28:10,640 Speaker 1: just insane. I got into a good fight with him 481 00:28:10,640 --> 00:28:13,879 Speaker 1: in my brain. Yes, I know, Like what, like, where's 482 00:28:13,920 --> 00:28:17,080 Speaker 1: the solution, where's the answer? I don't know, man. I 483 00:28:17,080 --> 00:28:18,879 Speaker 1: think the zen path is you go pick up that 484 00:28:18,960 --> 00:28:21,879 Speaker 1: McDonald's cup and throw it away and and say a 485 00:28:22,720 --> 00:28:26,760 Speaker 1: prayer for that person good luck. Uh So. Yeah. New 486 00:28:26,880 --> 00:28:30,000 Speaker 1: York uh is where they started studying this stuff in 487 00:28:30,000 --> 00:28:32,480 Speaker 1: the seventies because it was kind of wrapped up, like 488 00:28:32,520 --> 00:28:35,640 Speaker 1: I said, folded into larger pollution studies. They're like, well, 489 00:28:35,680 --> 00:28:38,120 Speaker 1: we might as well talk about noise pollution. New York 490 00:28:38,200 --> 00:28:40,480 Speaker 1: is a place to do it, and they did. There 491 00:28:40,480 --> 00:28:42,800 Speaker 1: were a couple of studies in the nineteen seventies about 492 00:28:42,800 --> 00:28:47,320 Speaker 1: subway noise that really sort of gave put the whole 493 00:28:47,320 --> 00:28:50,280 Speaker 1: thing on some terra firma as far as the health 494 00:28:50,280 --> 00:28:53,560 Speaker 1: effects and and and learning effects. In the case of 495 00:28:53,640 --> 00:28:56,880 Speaker 1: kids at PS ninety eight in Manhattan, it was very 496 00:28:56,920 --> 00:29:01,160 Speaker 1: close to the train tracks there, the subway train track close. Yeah, 497 00:29:01,200 --> 00:29:05,120 Speaker 1: like two twenty feet away. And they found and this 498 00:29:05,160 --> 00:29:07,920 Speaker 1: is this is pretty startling. They found that the kids 499 00:29:07,960 --> 00:29:11,640 Speaker 1: that were closest to the train tracks were eleven months 500 00:29:12,280 --> 00:29:14,640 Speaker 1: behind their classmates. That were on the other side of 501 00:29:14,640 --> 00:29:17,719 Speaker 1: the school. Yeah, on like not in another school, just 502 00:29:17,800 --> 00:29:20,440 Speaker 1: on the other side of the school. Yeah, almost a 503 00:29:20,480 --> 00:29:24,480 Speaker 1: full well, I mean that is basically a full school year, 504 00:29:25,640 --> 00:29:28,080 Speaker 1: because you know with summer's often stuff, that's an academic 505 00:29:28,240 --> 00:29:32,560 Speaker 1: year plus that they were behind. And they installed acoustic 506 00:29:32,600 --> 00:29:37,760 Speaker 1: tiles in the classroom and some dampening devices, and they 507 00:29:37,800 --> 00:29:41,080 Speaker 1: did a follow up study and the gap had closed basically, 508 00:29:41,120 --> 00:29:43,280 Speaker 1: So I mean there's proof right there, like your kids 509 00:29:43,280 --> 00:29:46,000 Speaker 1: are not learning as well if they're near that subway noise. 510 00:29:46,640 --> 00:29:49,800 Speaker 1: There's another kind of landmark study in the seventies in 511 00:29:49,840 --> 00:29:53,280 Speaker 1: New York that established the concept of noise pollution at 512 00:29:53,280 --> 00:29:56,800 Speaker 1: a place called the Bridges Apartment high rise or a 513 00:29:56,800 --> 00:30:00,840 Speaker 1: cluster of them in Manhattan that I believe I've maybe 514 00:30:00,920 --> 00:30:08,200 Speaker 1: drives under or really really close, um. And the traffic 515 00:30:08,280 --> 00:30:10,760 Speaker 1: noise is so bad that even as high up as 516 00:30:10,840 --> 00:30:14,880 Speaker 1: the eighth floor, the traffic sound is about the level 517 00:30:14,920 --> 00:30:17,320 Speaker 1: of a vacuum cleaner. And like just sitting in your 518 00:30:17,360 --> 00:30:21,280 Speaker 1: apartment you have to raise your voice to be heard, um, 519 00:30:21,840 --> 00:30:25,800 Speaker 1: which I mean, just the stress of that I can't imagine, 520 00:30:26,320 --> 00:30:30,480 Speaker 1: Like that's an inhabitable, uninhabitable place. I believe people are 521 00:30:30,480 --> 00:30:33,880 Speaker 1: still living there as well. UM. But the the this 522 00:30:34,000 --> 00:30:38,440 Speaker 1: this study found that children living there were far behind 523 00:30:38,520 --> 00:30:42,880 Speaker 1: it reading comprehension at listening comprehension uh, and just weren't 524 00:30:42,960 --> 00:30:45,960 Speaker 1: learning as as quickly as other kids their age who 525 00:30:46,040 --> 00:30:49,160 Speaker 1: did not live in the bridges. So those two studies 526 00:30:49,200 --> 00:30:53,640 Speaker 1: together from New York kind of established this idea like, Okay, 527 00:30:53,720 --> 00:30:57,080 Speaker 1: there's a there's a real problem with noise pollution UM. 528 00:30:57,280 --> 00:31:00,000 Speaker 1: And then it just went away for many, many years, 529 00:31:00,040 --> 00:31:04,800 Speaker 1: is until about two thousand eleven when the WHO. There's 530 00:31:04,840 --> 00:31:06,280 Speaker 1: a bunch of other studies, a lot of the other 531 00:31:06,280 --> 00:31:08,560 Speaker 1: ones that we've restaurant so far came out around two 532 00:31:08,600 --> 00:31:11,400 Speaker 1: thousand ten, two thousand eleven two. I'm not sure what 533 00:31:11,520 --> 00:31:13,600 Speaker 1: exactly kicked it off, but there was a big spade 534 00:31:13,600 --> 00:31:16,320 Speaker 1: of them. But then the WHO released a really big report, 535 00:31:16,920 --> 00:31:19,520 Speaker 1: not the WHO, the band, the World Health Organization. They're 536 00:31:19,520 --> 00:31:23,360 Speaker 1: another loud band actually, and UM, yeah, they felt terribly 537 00:31:23,400 --> 00:31:26,840 Speaker 1: guilty about causing hearing loss in their their fans, so 538 00:31:26,920 --> 00:31:31,800 Speaker 1: they launched the study of UM uh basically all of 539 00:31:31,840 --> 00:31:36,480 Speaker 1: Western Europe. UM. They looked at UM I think something 540 00:31:36,560 --> 00:31:39,520 Speaker 1: like five hundred different studies and did a meta analysis 541 00:31:39,600 --> 00:31:43,240 Speaker 1: of them to calculate what's called the disability adjusted life 542 00:31:43,280 --> 00:31:46,480 Speaker 1: years or dailies that were lost in Europe every year 543 00:31:46,880 --> 00:31:50,959 Speaker 1: two noise pollution. Yeah, And the idea of a daily 544 00:31:51,400 --> 00:31:54,520 Speaker 1: is they can't. They basically say, it's like the healthy 545 00:31:54,640 --> 00:31:58,479 Speaker 1: years of your life that are end up being lost 546 00:31:59,160 --> 00:32:03,720 Speaker 1: to this human made noise that you're living with. And 547 00:32:04,040 --> 00:32:06,520 Speaker 1: it's kind of a sort of an esoteric way to 548 00:32:06,520 --> 00:32:09,160 Speaker 1: think about it, but once you wrap your head around 549 00:32:09,160 --> 00:32:11,520 Speaker 1: it, it it makes a little bit more sense. But they 550 00:32:11,560 --> 00:32:15,840 Speaker 1: found that at least one million healthy years of life 551 00:32:15,840 --> 00:32:20,160 Speaker 1: are lost every single year only just in Europe due 552 00:32:20,200 --> 00:32:25,480 Speaker 1: to noise pollution. A million healthy years of people's lives annually. Yeah, 553 00:32:25,520 --> 00:32:28,200 Speaker 1: And that that means because of all of the disease 554 00:32:28,240 --> 00:32:32,640 Speaker 1: burden that noise pollution produces in humans, that that's how 555 00:32:32,720 --> 00:32:36,720 Speaker 1: much of our our healthy lifespan is shaved off every 556 00:32:36,800 --> 00:32:39,920 Speaker 1: year collectively, or how much Europe's is. And they did 557 00:32:39,920 --> 00:32:41,960 Speaker 1: a follow up study in two thousand and eighteen, Chuck, 558 00:32:42,400 --> 00:32:44,840 Speaker 1: and found that actually, no, we got it wrong. It's 559 00:32:45,080 --> 00:32:49,080 Speaker 1: one point eight million dailies are lost in Western Europe 560 00:32:49,080 --> 00:32:52,960 Speaker 1: alone each year. So they definitely established through these this 561 00:32:53,200 --> 00:32:57,120 Speaker 1: these couple of who studies like, no, noise pollution is 562 00:32:57,160 --> 00:32:59,920 Speaker 1: still a thing and we should probably do something about 563 00:33:00,000 --> 00:33:02,240 Speaker 1: on it. And there was another study that was released 564 00:33:02,240 --> 00:33:06,840 Speaker 1: this past year that said, yes, dailies are significant, but 565 00:33:07,040 --> 00:33:09,720 Speaker 1: we may have found a link that shows that noise 566 00:33:09,760 --> 00:33:16,920 Speaker 1: pollution can actually straight up kill you under some circumstances potentially. Yeah, 567 00:33:16,960 --> 00:33:19,800 Speaker 1: And this one was this is pretty startling because they 568 00:33:19,840 --> 00:33:22,640 Speaker 1: looked at herd Uh, well, not necessarily heart attack, but 569 00:33:22,760 --> 00:33:25,840 Speaker 1: nighttime deaths. No, I guess it was heart attacks. But 570 00:33:25,880 --> 00:33:29,000 Speaker 1: if you die overnight, die in your sleep quote unquote 571 00:33:29,320 --> 00:33:33,880 Speaker 1: from heart attacks. Uh, and the link to commercial aircraft 572 00:33:34,080 --> 00:33:37,280 Speaker 1: flying over your house, and I guess they had a 573 00:33:37,280 --> 00:33:39,680 Speaker 1: way to sort of cancel out all the other factors. 574 00:33:40,400 --> 00:33:43,200 Speaker 1: And they got down to the nitty gritty that three 575 00:33:44,080 --> 00:33:47,880 Speaker 1: of all nighttime deaths from heart attacks can be attributed 576 00:33:47,920 --> 00:33:51,280 Speaker 1: to the sound of aircraft flying overhead while you're sleeping. 577 00:33:51,840 --> 00:33:54,360 Speaker 1: That's just like that was it. That was the last 578 00:33:54,560 --> 00:33:57,080 Speaker 1: stress response that your body could handle, and you had 579 00:33:57,120 --> 00:34:00,840 Speaker 1: a heart attack and died from that sound. They said, like, Okay, 580 00:34:00,880 --> 00:34:04,640 Speaker 1: we found a definite correlation, but if there is causation here, 581 00:34:04,680 --> 00:34:07,160 Speaker 1: then we can chalk up about three percent of those 582 00:34:07,360 --> 00:34:11,320 Speaker 1: that's astounding. It is astounding. We're gonna take a break. 583 00:34:11,840 --> 00:34:15,800 Speaker 1: That's the human grossness, and we'll talk about the awful 584 00:34:15,840 --> 00:34:18,680 Speaker 1: things that we're doing to our animal friends in nature 585 00:34:18,800 --> 00:34:45,719 Speaker 1: right after this, all right, Uh, we talked about a 586 00:34:45,719 --> 00:34:49,800 Speaker 1: lot of studies that basically all added up to noise 587 00:34:49,840 --> 00:34:53,719 Speaker 1: pollution very bad for human beings, like literally bad for 588 00:34:53,760 --> 00:34:57,080 Speaker 1: their health. And and I know we've talked about a 589 00:34:57,120 --> 00:34:59,360 Speaker 1: few of these before over the years, especially when it 590 00:34:59,360 --> 00:35:04,240 Speaker 1: comes to whale. Uh, but all manner of mother nature 591 00:35:04,280 --> 00:35:07,239 Speaker 1: are impacted by this noise. They did a study in 592 00:35:07,280 --> 00:35:12,000 Speaker 1: the early two thousands about stress hormones um for what 593 00:35:12,040 --> 00:35:14,800 Speaker 1: kind of whales were they right whales? The right whales 594 00:35:14,840 --> 00:35:17,879 Speaker 1: in the Bay of Fundy, And they saw and this 595 00:35:17,960 --> 00:35:21,880 Speaker 1: was remarkable. They saw a really weird, unexplained declined in 596 00:35:21,920 --> 00:35:25,520 Speaker 1: the stress hormone concentrations that went away and then came 597 00:35:25,560 --> 00:35:29,960 Speaker 1: back up again. And they eventually realized it was a 598 00:35:29,960 --> 00:35:34,560 Speaker 1: halt in the shipping in the bay after eleven happened. Yeah, 599 00:35:34,600 --> 00:35:39,920 Speaker 1: because shipping is probably humans noisiest marine endeavor that we 600 00:35:40,000 --> 00:35:44,279 Speaker 1: do all the time constantly. And the idea of a 601 00:35:44,400 --> 00:35:48,160 Speaker 1: break and that having being connected to a huge decline 602 00:35:48,160 --> 00:35:51,920 Speaker 1: in stress hormones in whale poop. That's that's significant. But 603 00:35:51,960 --> 00:35:54,480 Speaker 1: it was an accidental discovery, and I think it led 604 00:35:54,520 --> 00:35:56,480 Speaker 1: other people to start studying stuff like that, like the 605 00:35:56,520 --> 00:36:00,279 Speaker 1: effects of noise on wildlife. And there was US I 606 00:36:00,280 --> 00:36:04,080 Speaker 1: think University of Idaho. I'm sorry. If it's Idaho State, 607 00:36:04,120 --> 00:36:07,719 Speaker 1: please don't be mad. I think it's okay. UM a 608 00:36:07,800 --> 00:36:10,960 Speaker 1: study from two thousand twelve where researchers set up like 609 00:36:11,280 --> 00:36:14,160 Speaker 1: what they call the Phantom Road, which is basically they 610 00:36:14,200 --> 00:36:17,480 Speaker 1: have fixed a line of loudspeakers to some trees out 611 00:36:17,520 --> 00:36:19,919 Speaker 1: in the wilderness that stretched about a half a mile 612 00:36:20,000 --> 00:36:25,160 Speaker 1: in length, and um, they just played road and traffic 613 00:36:25,200 --> 00:36:27,520 Speaker 1: noise and not like city stuff, just like the kind 614 00:36:27,560 --> 00:36:31,840 Speaker 1: of stuff that possibly a remote road through the wilderness 615 00:36:31,960 --> 00:36:34,800 Speaker 1: would sound like. Because they recorded it in Glacier National 616 00:36:34,840 --> 00:36:38,279 Speaker 1: Park on a road there, and just from that, just 617 00:36:38,360 --> 00:36:42,600 Speaker 1: from like this rural Glacier National Park road noise, something 618 00:36:42,640 --> 00:36:44,719 Speaker 1: like more than a quarter of all the birds in 619 00:36:44,719 --> 00:36:48,520 Speaker 1: the area just left. They were like, we're moving, We're 620 00:36:48,520 --> 00:36:53,600 Speaker 1: going to Canada. So everybody in the United States, Yeah, 621 00:36:53,640 --> 00:36:56,359 Speaker 1: you know, I think I definitely noticed, and I heard 622 00:36:56,360 --> 00:37:01,160 Speaker 1: other people talk about UM in like April of last 623 00:37:01,239 --> 00:37:05,520 Speaker 1: year when things really slowed down commuter and traffic wise 624 00:37:05,600 --> 00:37:08,520 Speaker 1: due to the pandemic. And I don't think it was 625 00:37:08,600 --> 00:37:12,719 Speaker 1: just um our our imaginations, but there were there was 626 00:37:12,760 --> 00:37:15,880 Speaker 1: a lot more bird activity going on. Uh. And I 627 00:37:15,880 --> 00:37:18,400 Speaker 1: remember I think I remember us even talking about it. 628 00:37:19,320 --> 00:37:22,400 Speaker 1: Um or maybe it was just quieter for us, so 629 00:37:22,440 --> 00:37:24,839 Speaker 1: we noticed the more or maybe a combination of both, 630 00:37:24,880 --> 00:37:27,880 Speaker 1: but there was there was a difference. And when you know, 631 00:37:27,920 --> 00:37:31,880 Speaker 1: when shipping stops after nine eleven or when um traffic stops, 632 00:37:32,160 --> 00:37:37,320 Speaker 1: nature says, oh uh, the the human a holes are gone. 633 00:37:38,280 --> 00:37:41,520 Speaker 1: Now we can start behaving normally again. Yeah, like things 634 00:37:41,560 --> 00:37:44,439 Speaker 1: are back to normal. Um. And that's I mean, that's 635 00:37:44,480 --> 00:37:47,279 Speaker 1: just on land. Also, they found that Idaho study found 636 00:37:47,280 --> 00:37:49,359 Speaker 1: that the birds that stuck around lost a bunch of 637 00:37:49,360 --> 00:37:52,000 Speaker 1: weight which they would have needed to migrate, so maybe 638 00:37:52,000 --> 00:37:55,160 Speaker 1: they couldn't leave even if they wanted to. But those 639 00:37:55,280 --> 00:37:57,439 Speaker 1: that was the land study. There's been other studies on land. 640 00:37:57,480 --> 00:38:01,279 Speaker 1: But it seems like the the we're doing a lot 641 00:38:01,360 --> 00:38:04,880 Speaker 1: of damage to marine ecosystems as well, like probably even 642 00:38:04,920 --> 00:38:07,919 Speaker 1: more because sound waves travel and water a lot better 643 00:38:07,920 --> 00:38:10,040 Speaker 1: than light, which means that most of the animals that 644 00:38:10,080 --> 00:38:13,360 Speaker 1: live in the water have really sensitive hearing. That's what 645 00:38:13,400 --> 00:38:16,560 Speaker 1: they've evolved to use to communicate and listen out for, right, 646 00:38:16,880 --> 00:38:22,080 Speaker 1: So when we make noise, it's really problematic and marine ecosystems, Yeah, 647 00:38:22,080 --> 00:38:23,759 Speaker 1: and we make a lot of noise. I mean that 648 00:38:23,800 --> 00:38:29,080 Speaker 1: shipping activity we talked about is super disruptive to anything underwater. 649 00:38:30,239 --> 00:38:32,960 Speaker 1: When they search for mineral deposits on the sea floor 650 00:38:33,120 --> 00:38:35,919 Speaker 1: or under the sea floor, they use these seismic air 651 00:38:35,960 --> 00:38:38,920 Speaker 1: guns that are you can hear those things like a 652 00:38:38,960 --> 00:38:41,759 Speaker 1: fish can hear that a thousand, thousands of miles away. 653 00:38:42,360 --> 00:38:45,440 Speaker 1: Very disruptive. Um, sonar and no We talked about sonar 654 00:38:46,600 --> 00:38:49,560 Speaker 1: in in an episode years ago and how that affected 655 00:38:50,000 --> 00:38:52,279 Speaker 1: marine life. I can't remember what it was. Did we 656 00:38:52,360 --> 00:38:54,799 Speaker 1: do an entire episode on the time they blew up 657 00:38:54,840 --> 00:38:56,319 Speaker 1: the beach to whale? Like what to do with the 658 00:38:56,360 --> 00:38:59,759 Speaker 1: beach whale? Maybe? I think, but they basically kind of 659 00:39:00,280 --> 00:39:03,759 Speaker 1: say now, like they think the reasons Wales beach themselves 660 00:39:04,280 --> 00:39:08,560 Speaker 1: is because of these noises and sonar as a big culprit, right, Um, 661 00:39:08,719 --> 00:39:10,480 Speaker 1: like it just drives him out of the water, which 662 00:39:10,520 --> 00:39:13,880 Speaker 1: sounds bonkers, But if you ever think about how humans 663 00:39:13,880 --> 00:39:18,080 Speaker 1: sometimes jump from tall buildings rather than being burned by 664 00:39:18,080 --> 00:39:20,239 Speaker 1: the intensity of a fire. I think it's virtually the 665 00:39:20,320 --> 00:39:24,440 Speaker 1: same principle. Sure, so we are we have become aware 666 00:39:24,840 --> 00:39:29,040 Speaker 1: of just how much noise pollution affects, not just us, 667 00:39:29,080 --> 00:39:31,480 Speaker 1: but the environment as well. Like it's it is a 668 00:39:31,560 --> 00:39:34,520 Speaker 1: form of pollution. Um. And it seems like you know, 669 00:39:34,560 --> 00:39:36,520 Speaker 1: it started to accumulate in the last few years, but 670 00:39:36,560 --> 00:39:40,480 Speaker 1: really we've known for a good fifty years that noise 671 00:39:40,520 --> 00:39:44,759 Speaker 1: pollution is really bad for everybody. Uh, and yet we've 672 00:39:44,800 --> 00:39:47,880 Speaker 1: done almost nothing about it. But we had the start, Chuck, 673 00:39:48,040 --> 00:39:50,400 Speaker 1: We started out like we were going to like almost 674 00:39:50,440 --> 00:39:54,040 Speaker 1: immediately when we realized how bad noise pollution was in 675 00:39:54,040 --> 00:39:58,000 Speaker 1: the seventies, we started to do something about it um 676 00:39:58,080 --> 00:40:00,759 Speaker 1: and the federal government passed like th and actually I 677 00:40:00,800 --> 00:40:04,120 Speaker 1: saw a fourth one um huge acts that had to 678 00:40:04,120 --> 00:40:08,319 Speaker 1: do with basically controlling noise pollution. Yeah, either controlling noise 679 00:40:08,360 --> 00:40:12,439 Speaker 1: pollution for people in general, or through OSHA, making sure 680 00:40:12,440 --> 00:40:15,520 Speaker 1: people were working in safe conditions or at least had 681 00:40:15,600 --> 00:40:17,360 Speaker 1: you know, the ear cans and things they needed to 682 00:40:17,400 --> 00:40:19,680 Speaker 1: work safely. And it was, like you said, it was 683 00:40:19,680 --> 00:40:22,240 Speaker 1: headed in the right direction. We knew it was bad 684 00:40:22,400 --> 00:40:24,480 Speaker 1: and we were trying to stop it. And then the 685 00:40:24,520 --> 00:40:28,080 Speaker 1: Reagan administration came along and said, nuts to that, that's 686 00:40:28,120 --> 00:40:31,640 Speaker 1: federal regulation. Let's just leave it to the states, because 687 00:40:32,080 --> 00:40:34,120 Speaker 1: you ask any governor of any state and they'll tell 688 00:40:34,160 --> 00:40:36,239 Speaker 1: you their citizens know to do the right thing, and 689 00:40:36,239 --> 00:40:40,279 Speaker 1: they'll do that right thing. And uh so we'll just 690 00:40:40,360 --> 00:40:42,600 Speaker 1: leave it up to the states and let them. Uh 691 00:40:42,640 --> 00:40:45,200 Speaker 1: they volunteered to face itself out. The Office of Noise 692 00:40:45,239 --> 00:40:50,000 Speaker 1: and Abatement Control, uh on paper still exists, but Congress said, 693 00:40:50,000 --> 00:40:52,439 Speaker 1: you know, let's just not fund them anymore and let's 694 00:40:52,520 --> 00:40:54,279 Speaker 1: keep these laws on the books, but really not worry 695 00:40:54,280 --> 00:40:56,319 Speaker 1: about it too much because the states will take care 696 00:40:56,320 --> 00:40:58,439 Speaker 1: of it, right, because states always do the right thing. Yeah, 697 00:40:58,480 --> 00:41:00,799 Speaker 1: And the states, of course, did absolutely nothing, and it's 698 00:41:01,040 --> 00:41:04,680 Speaker 1: partially because they can't do a lot about it. A 699 00:41:04,719 --> 00:41:09,360 Speaker 1: lot of noise is really best understood, studied, and regulated 700 00:41:09,400 --> 00:41:13,080 Speaker 1: by the federal government. Like what like Georgia has a 701 00:41:13,120 --> 00:41:16,680 Speaker 1: bunch of money reserve to study the effects of noise 702 00:41:16,760 --> 00:41:19,400 Speaker 1: on humans. Like, no, that's totally a federal kind of 703 00:41:19,400 --> 00:41:21,319 Speaker 1: thing to do, you know. And that's what some of 704 00:41:21,320 --> 00:41:24,480 Speaker 1: those seventies acts set up, like that, that Office of 705 00:41:24,520 --> 00:41:27,440 Speaker 1: Noise Abatement and Control or noise control in abatement, like 706 00:41:27,680 --> 00:41:30,040 Speaker 1: it's purpose was to study that kind of stuff. That's 707 00:41:30,080 --> 00:41:33,080 Speaker 1: not what states do. So the states have, well not 708 00:41:33,160 --> 00:41:36,799 Speaker 1: the states, but usually more municipalities and counties have. They 709 00:41:36,840 --> 00:41:40,640 Speaker 1: have taken steps to kind of mitigate sound pollution. Like 710 00:41:40,920 --> 00:41:45,280 Speaker 1: there's your noise pollution. There's usually regulations on how early 711 00:41:45,520 --> 00:41:48,960 Speaker 1: or late a landscaping crew can work within the city limits, 712 00:41:49,520 --> 00:41:52,040 Speaker 1: or some of them say like you can't boom your 713 00:41:52,040 --> 00:41:55,120 Speaker 1: stereo or you're not allowed to have that broken glass 714 00:41:55,200 --> 00:41:58,640 Speaker 1: muffler on your Harley. Um, like, there's some stuff like that. 715 00:41:58,920 --> 00:42:01,440 Speaker 1: But then like if you live kind of under a 716 00:42:01,480 --> 00:42:04,480 Speaker 1: flight path, if your town wanted to say, you know what, 717 00:42:04,600 --> 00:42:07,480 Speaker 1: you can't fly over our town and wake everybody up 718 00:42:07,520 --> 00:42:11,680 Speaker 1: between you know, twelve at night and seven in the morning, 719 00:42:11,719 --> 00:42:14,560 Speaker 1: you can't fly an airplane over it. The airplanes would 720 00:42:14,560 --> 00:42:17,120 Speaker 1: just be like like, I didn't hear you. Sorry, I 721 00:42:17,160 --> 00:42:19,680 Speaker 1: was listening to the Feds who say you can't make 722 00:42:19,800 --> 00:42:22,920 Speaker 1: laws like that. Yeah, And you know, I get the feeling. 723 00:42:22,920 --> 00:42:27,200 Speaker 1: With municipalities. It is more like complaints from neighbors kind 724 00:42:27,200 --> 00:42:30,520 Speaker 1: of noise or the lawn cruise in construction like you 725 00:42:30,560 --> 00:42:34,920 Speaker 1: were saying, and less like stuff with big teeth um recently, 726 00:42:35,280 --> 00:42:37,960 Speaker 1: Uh weird reason I won't get into, but I was 727 00:42:37,960 --> 00:42:41,879 Speaker 1: looking up noise ordinances and Athens, Georgia, and they're kind 728 00:42:41,880 --> 00:42:44,239 Speaker 1: of funny when you look at these noise ordinances. It's 729 00:42:44,280 --> 00:42:48,279 Speaker 1: like it literally said, like you know, walking down the 730 00:42:48,320 --> 00:42:52,160 Speaker 1: sidewalk um yelling at one another, talking about basically drunk kids, 731 00:42:52,680 --> 00:42:55,200 Speaker 1: you know, like the French quarter kind of thing. Uh. 732 00:42:55,239 --> 00:42:58,719 Speaker 1: It said, you know, this includes hooting and hollering, and 733 00:42:58,760 --> 00:43:01,000 Speaker 1: it was something about being able to hear you from 734 00:43:01,000 --> 00:43:05,520 Speaker 1: like three feet away, but or noise from your apartment. 735 00:43:05,520 --> 00:43:07,640 Speaker 1: But it's you know, it's like good luck with that. 736 00:43:07,719 --> 00:43:10,640 Speaker 1: Like you can call the cops on someone maybe, but 737 00:43:10,719 --> 00:43:15,120 Speaker 1: there's no teeth or or or what do you call 738 00:43:15,160 --> 00:43:18,160 Speaker 1: it when you or enforcement kind of with a lot 739 00:43:18,200 --> 00:43:21,480 Speaker 1: of this stuff, aside from singling out people when it 740 00:43:21,520 --> 00:43:23,640 Speaker 1: happens in the moment, and you may get a cop 741 00:43:23,680 --> 00:43:25,680 Speaker 1: come by and say turn it down. But even if 742 00:43:25,719 --> 00:43:28,839 Speaker 1: there's a will to do something, it depends on if 743 00:43:28,880 --> 00:43:32,359 Speaker 1: it's like rail traffic or air traffic, like the federal um, 744 00:43:32,600 --> 00:43:36,840 Speaker 1: the federal government ties local local towns and counties hands 745 00:43:36,840 --> 00:43:39,920 Speaker 1: like they can't do anything about it, and there's um 746 00:43:39,960 --> 00:43:41,840 Speaker 1: as a result, there's a lot of noise pollution that 747 00:43:41,840 --> 00:43:44,840 Speaker 1: people can't do anything about. There's a um. There's a 748 00:43:44,920 --> 00:43:47,240 Speaker 1: town in Canada. I can't remember the name of it, 749 00:43:47,280 --> 00:43:50,279 Speaker 1: but it is um. It's got really like a rail 750 00:43:50,320 --> 00:43:53,520 Speaker 1: system that goes through it, and it doesn't have like 751 00:43:53,680 --> 00:43:57,200 Speaker 1: alarms or like the arms that come down. So trains 752 00:43:57,280 --> 00:44:00,799 Speaker 1: have to hank their horns at least three times as 753 00:44:00,840 --> 00:44:02,840 Speaker 1: they crossed through this town. And there's a bunch of 754 00:44:02,880 --> 00:44:08,840 Speaker 1: different crossings, and they calculated that train horns blair twelve 755 00:44:09,120 --> 00:44:13,719 Speaker 1: hundred times a day in this little tiny town. And like, 756 00:44:13,840 --> 00:44:16,799 Speaker 1: obviously everybody's going nuts, but they can't do anything about 757 00:44:16,840 --> 00:44:20,080 Speaker 1: it because the federal government of Canada is in charge 758 00:44:20,080 --> 00:44:25,600 Speaker 1: of regulating rail travel like every other developed or industrialized country. Yeah, 759 00:44:25,640 --> 00:44:27,799 Speaker 1: and even if it's something like Osha and like you, 760 00:44:27,800 --> 00:44:31,080 Speaker 1: you work in allowed factory and they're trying to regulate that, 761 00:44:31,200 --> 00:44:34,560 Speaker 1: they say that a they don't cover all industries they 762 00:44:34,560 --> 00:44:38,640 Speaker 1: should cover, and when when they do, it's very inconsistently applied. 763 00:44:39,480 --> 00:44:43,839 Speaker 1: And even when they do apply it inconsistently. Um, they 764 00:44:43,880 --> 00:44:46,600 Speaker 1: say that these limits aren't even low enough to protect 765 00:44:46,640 --> 00:44:50,759 Speaker 1: all the workers anyway from hearing loss said, OSHA regulations 766 00:44:50,760 --> 00:44:54,960 Speaker 1: allow workers to be exposed to ninety five decibels for 767 00:44:55,040 --> 00:44:57,000 Speaker 1: four hours a day, five days a week, for your 768 00:44:57,120 --> 00:45:01,919 Speaker 1: entire forty year career, and that that that's like you're 769 00:45:01,960 --> 00:45:04,319 Speaker 1: going to suffer from hearing loss if that's the case. Yeah, 770 00:45:04,320 --> 00:45:07,719 Speaker 1: that's like holding a leafblower right right next to you 771 00:45:07,800 --> 00:45:09,680 Speaker 1: for four hours a day, five days a week for 772 00:45:09,680 --> 00:45:12,680 Speaker 1: forty years. Like of course you're going to lose you're hearing. Like, 773 00:45:12,719 --> 00:45:15,520 Speaker 1: that's that's crazy. Well, and then fact you're in the 774 00:45:15,880 --> 00:45:17,840 Speaker 1: other health effects that no one ever talks about that 775 00:45:17,840 --> 00:45:19,680 Speaker 1: we mentioned in the whole first half of this thing. 776 00:45:20,360 --> 00:45:22,840 Speaker 1: And you have an unhealthy population if you're stuck in 777 00:45:22,880 --> 00:45:25,080 Speaker 1: one of those places. So we can sit here and 778 00:45:25,120 --> 00:45:27,719 Speaker 1: corvetch all day, which we we would love to do. 779 00:45:28,320 --> 00:45:30,640 Speaker 1: But there are solutions to this, but we I want 780 00:45:30,680 --> 00:45:33,080 Speaker 1: to point out one more time, all these solutions are 781 00:45:33,400 --> 00:45:38,319 Speaker 1: zero thanks to the Reagan administration. Um. Instead, there's some 782 00:45:38,400 --> 00:45:40,719 Speaker 1: simple stuff you can do to help us humans, Like 783 00:45:40,760 --> 00:45:44,320 Speaker 1: you can change aircraft routes, you can build barriers along 784 00:45:44,440 --> 00:45:47,680 Speaker 1: roadways and railways. UM. You can even green it up, 785 00:45:47,719 --> 00:45:50,080 Speaker 1: like they found that if you use shrubbery and trees 786 00:45:50,239 --> 00:45:53,440 Speaker 1: mixed together so that they basically produce a fence, and 787 00:45:53,560 --> 00:45:56,319 Speaker 1: you plant them close to the road or close to 788 00:45:56,320 --> 00:45:58,600 Speaker 1: the railway rather than close to the place that you're 789 00:45:58,600 --> 00:46:02,400 Speaker 1: trying to protect. They do pretty good at reducing the 790 00:46:02,800 --> 00:46:07,800 Speaker 1: decibels of the sound the noise pollution coming from the traffic. Um, 791 00:46:07,840 --> 00:46:09,680 Speaker 1: that's some easy stuff you can do. And then on 792 00:46:09,760 --> 00:46:12,840 Speaker 1: the user end, on the individuals, and there's all sorts 793 00:46:12,840 --> 00:46:16,120 Speaker 1: of like acoustic insulation and paneling you can add to 794 00:46:16,160 --> 00:46:20,440 Speaker 1: your house to make it a little more soundproof and quieter. Um, 795 00:46:20,520 --> 00:46:25,560 Speaker 1: what about those mufflers chuck car mufflers. Yeah, so apparently 796 00:46:25,600 --> 00:46:28,319 Speaker 1: the ones that make the sound or not not they're 797 00:46:28,360 --> 00:46:33,279 Speaker 1: not good. Yeah, I mean that they could they could 798 00:46:33,360 --> 00:46:35,520 Speaker 1: change that. The e p A could get involved and say, 799 00:46:35,600 --> 00:46:37,480 Speaker 1: you know what, you can't have those kind of mufflers anymore. 800 00:46:38,320 --> 00:46:41,960 Speaker 1: Thank god if they did. As far as the shipping go, 801 00:46:42,120 --> 00:46:44,080 Speaker 1: and know, it's always like a Honda Civic or something 802 00:46:44,080 --> 00:46:46,200 Speaker 1: that it's like tricked out, like it's some kind of 803 00:46:46,280 --> 00:46:49,920 Speaker 1: race car um. As far as the water goes in 804 00:46:49,960 --> 00:46:52,560 Speaker 1: the shipping stuff like that. Those big ships, Uh, they 805 00:46:52,560 --> 00:46:57,000 Speaker 1: found that if they separate the ship's engine from the hull. Uh, 806 00:46:57,040 --> 00:47:00,080 Speaker 1: they are quieter, much quieter, and they even found that 807 00:47:00,160 --> 00:47:03,040 Speaker 1: there is uh. I think there's a se reduction in 808 00:47:03,160 --> 00:47:08,640 Speaker 1: acoustic energy um six to eight decibels, which is significant. Uh. 809 00:47:08,680 --> 00:47:12,080 Speaker 1: And they also found that it is less fuel efficient. 810 00:47:12,120 --> 00:47:14,440 Speaker 1: And if they like retrofitted or kind of change the 811 00:47:14,440 --> 00:47:16,279 Speaker 1: way they built these ships, I don't know if you can, well, 812 00:47:16,320 --> 00:47:18,440 Speaker 1: I guess you can retrofit something. Well, yeah, the propellers 813 00:47:18,480 --> 00:47:20,680 Speaker 1: are what's making them less fuel efficient, so you can 814 00:47:20,680 --> 00:47:22,680 Speaker 1: easy not easily, but you can take off the old 815 00:47:22,680 --> 00:47:25,840 Speaker 1: propellers and put on new ones. Right, But it costs 816 00:47:25,840 --> 00:47:27,399 Speaker 1: a lot of money up front, like they will save 817 00:47:27,400 --> 00:47:30,400 Speaker 1: in the long run. And I think uh is it 818 00:47:30,440 --> 00:47:34,800 Speaker 1: pronounced Marsk, the big shipping company. They spent a hundred 819 00:47:34,880 --> 00:47:38,160 Speaker 1: million bucks to do just eleven of its ships, So 820 00:47:38,239 --> 00:47:41,560 Speaker 1: that gives you the idea of how much it costs. Uh. 821 00:47:41,600 --> 00:47:43,960 Speaker 1: There may be seen some efficiencies if they did more 822 00:47:44,160 --> 00:47:47,040 Speaker 1: or something, but it's not cheap. And they have seven 823 00:47:47,520 --> 00:47:50,360 Speaker 1: forty ships they've done eleven, so well, I did see 824 00:47:50,400 --> 00:47:53,440 Speaker 1: that is actually a very small fraction of all of 825 00:47:53,480 --> 00:47:56,360 Speaker 1: the ships involved in shipping that are responsible for the 826 00:47:56,440 --> 00:47:59,400 Speaker 1: vast majority of the noise. So if you did just 827 00:47:59,480 --> 00:48:04,600 Speaker 1: focus on the worst offenders that would have a significant impact. Yeah, 828 00:48:04,680 --> 00:48:07,800 Speaker 1: there's also a huge amount of noise, apparently underwater noise 829 00:48:07,800 --> 00:48:11,280 Speaker 1: that comes from offshore wind farms because of the pile 830 00:48:11,360 --> 00:48:15,160 Speaker 1: driver that is moved by up and down by the 831 00:48:15,200 --> 00:48:19,840 Speaker 1: blades to help produce the electricity to move the turbine right, 832 00:48:20,080 --> 00:48:22,480 Speaker 1: And they found that if you just put a perforated 833 00:48:22,560 --> 00:48:25,640 Speaker 1: pipe around the pile driver, the pile driver is going 834 00:48:25,640 --> 00:48:29,400 Speaker 1: to produce bubbles and those bubbles will dissipate the noise. 835 00:48:29,440 --> 00:48:32,600 Speaker 1: Almost all the noise I think like of the noise 836 00:48:32,680 --> 00:48:35,400 Speaker 1: coming from those offshore wind farms. That's a really simple, 837 00:48:35,440 --> 00:48:38,520 Speaker 1: easy solution. Just do it people. Yeah, and there's one 838 00:48:38,560 --> 00:48:40,399 Speaker 1: other thing that I hadn't thought about, but I saw 839 00:48:40,400 --> 00:48:42,440 Speaker 1: a couple of places and it really makes sense, is 840 00:48:42,480 --> 00:48:46,600 Speaker 1: that the noise pollution we're contributing to marine ecosystems in 841 00:48:46,600 --> 00:48:52,200 Speaker 1: particular is just such low hanging fruit that there's no 842 00:48:52,239 --> 00:48:55,000 Speaker 1: reason we shouldn't do this. There's some really easy stuff 843 00:48:55,000 --> 00:48:57,560 Speaker 1: we can do, like even rerouting shipping lanes is one 844 00:48:57,600 --> 00:49:00,080 Speaker 1: thing we can do, and that by doing that it 845 00:49:00,120 --> 00:49:05,239 Speaker 1: will actually stabilize marine ecosystems in marine life so that 846 00:49:05,480 --> 00:49:07,560 Speaker 1: it will buy us a little time while we're figuring 847 00:49:07,560 --> 00:49:11,279 Speaker 1: out much trickier stuff like ocean acidification and things that 848 00:49:11,320 --> 00:49:13,840 Speaker 1: are also threats to it. So it's like, just removing 849 00:49:13,840 --> 00:49:17,520 Speaker 1: noise pollution would really go a long way toward extending 850 00:49:17,920 --> 00:49:21,520 Speaker 1: the UM. I guess the health and vitality of the 851 00:49:21,560 --> 00:49:25,400 Speaker 1: oceans while there, you know, while we're combating climate change. 852 00:49:26,400 --> 00:49:28,520 Speaker 1: I love it. Let's get all these things going. Our 853 00:49:28,560 --> 00:49:32,680 Speaker 1: health is suffering. Let's start with the mufflers. Yeah, that's 854 00:49:32,680 --> 00:49:37,360 Speaker 1: just annoyance. Uh. Well, since Chuck said that's just annoyance, 855 00:49:37,400 --> 00:49:43,080 Speaker 1: of course, everybody, that means it's time for listener mail. Uh. 856 00:49:43,120 --> 00:49:45,279 Speaker 1: This one's pretty short and sweet. I just love it 857 00:49:45,280 --> 00:49:47,880 Speaker 1: when we get an answer about something. I think I 858 00:49:47,960 --> 00:49:50,080 Speaker 1: might have known this at some point, but we talked 859 00:49:50,080 --> 00:49:55,160 Speaker 1: about shrinking as humans. And this is from uh Steve 860 00:49:56,000 --> 00:49:58,280 Speaker 1: and Roscoe, Illinois. He says, I've been a long time listener, 861 00:49:58,680 --> 00:50:00,200 Speaker 1: never had a reason to reach out, but you my 862 00:50:00,239 --> 00:50:03,120 Speaker 1: Arab expertise. I'm a physical therapist, and while listening to 863 00:50:03,120 --> 00:50:05,840 Speaker 1: episode about crash testing, you ask why do we shrink 864 00:50:06,120 --> 00:50:08,960 Speaker 1: when we get older? What happens is we age, guys, 865 00:50:09,040 --> 00:50:13,400 Speaker 1: is the intervertebral discs in our back lose hydration and 866 00:50:13,440 --> 00:50:16,840 Speaker 1: as a result, we shrink. Uh. There are six discs 867 00:50:16,840 --> 00:50:20,640 Speaker 1: in the cervical spine, twelve discs in the thoracic spine, 868 00:50:20,680 --> 00:50:24,960 Speaker 1: and five discs in the lumbar. If each disc were 869 00:50:24,960 --> 00:50:26,880 Speaker 1: to lose a minimum of one six of an inch 870 00:50:26,960 --> 00:50:29,239 Speaker 1: in height, that adds up pretty quickly, and you can 871 00:50:29,320 --> 00:50:32,600 Speaker 1: easily lose an inch plus in your lifetime. The other 872 00:50:32,640 --> 00:50:34,400 Speaker 1: thing to consider as we age is our muscles and 873 00:50:34,400 --> 00:50:38,560 Speaker 1: tissues get tighter, pulls us into positions of poor posture. 874 00:50:39,480 --> 00:50:43,160 Speaker 1: That's right, and this restricts our ability to stand up straight. 875 00:50:43,239 --> 00:50:45,360 Speaker 1: You can bind all these things together and all of 876 00:50:45,400 --> 00:50:47,480 Speaker 1: a sudden, Josh isn't going to hit his goal height 877 00:50:47,560 --> 00:50:50,120 Speaker 1: of six ft. I have to stay on my tippy toes. 878 00:50:50,239 --> 00:50:52,279 Speaker 1: New thanks for all the good work. I hope it 879 00:50:52,320 --> 00:50:54,360 Speaker 1: didn't step on the toes of a future short stuff. 880 00:50:54,880 --> 00:50:57,840 Speaker 1: I think we just did it. Steve. That's Steve Marima 881 00:50:58,080 --> 00:51:02,080 Speaker 1: or Marima from Rusco in a way. Thanks a lot, Steve, 882 00:51:02,440 --> 00:51:04,920 Speaker 1: that was a good email. We appreciate that big time. 883 00:51:04,960 --> 00:51:07,560 Speaker 1: And if you haven't stumbled upon it yet, you should 884 00:51:07,600 --> 00:51:11,040 Speaker 1: check out our episode Encarcopania. It is old, but it 885 00:51:11,120 --> 00:51:14,239 Speaker 1: was interesting. Yeah, if you have any ethysical therapy needs 886 00:51:14,239 --> 00:51:17,160 Speaker 1: in Illinois. Give Steve a cal sounds good guy, Yeah, 887 00:51:17,840 --> 00:51:22,879 Speaker 1: head to beautiful Roscoe, Illinois. Come on, if you want 888 00:51:22,920 --> 00:51:26,440 Speaker 1: to be like Steve from Roscoe and uh give us 889 00:51:26,480 --> 00:51:29,000 Speaker 1: some more info that we were asking for. We love 890 00:51:29,080 --> 00:51:31,239 Speaker 1: that kind of stuff. You can send it to his 891 00:51:31,400 --> 00:51:38,000 Speaker 1: via email to stuff Podcasts at iHeart radio dot com. 892 00:51:38,080 --> 00:51:40,400 Speaker 1: Stuff you Should Know is a production of I heart Radio. 893 00:51:40,880 --> 00:51:43,399 Speaker 1: For more podcasts my heart Radio, visit the i heart 894 00:51:43,480 --> 00:51:46,400 Speaker 1: Radio app, Apple Podcasts, or wherever you listen to your 895 00:51:46,400 --> 00:51:47,160 Speaker 1: favorite shows.