1 00:00:03,040 --> 00:00:05,880 Speaker 1: Welcome to Stuff to Blow Your Mind from how Stuff 2 00:00:05,880 --> 00:00:16,040 Speaker 1: Works dot Com. Hey, welcome to Stuff to Blow your Mind. 3 00:00:16,079 --> 00:00:18,799 Speaker 1: My name is Robert Lamb and I'm Joe McCormick and Robert. 4 00:00:18,800 --> 00:00:21,040 Speaker 1: I'd like you to think about something, and that's what 5 00:00:21,079 --> 00:00:23,360 Speaker 1: I'm here for. I want you to think about the 6 00:00:23,440 --> 00:00:27,800 Speaker 1: idea of the substance of absence in our in our 7 00:00:27,840 --> 00:00:30,720 Speaker 1: sensory experience of the world. So we all experience this 8 00:00:30,760 --> 00:00:34,199 Speaker 1: in our lives where there is a stark disconnect between 9 00:00:34,880 --> 00:00:38,839 Speaker 1: everything we know about physics and what are intuitions tell us. 10 00:00:39,240 --> 00:00:42,000 Speaker 1: And one of the examples of this is that there 11 00:00:42,159 --> 00:00:47,280 Speaker 1: is no such substance in physics as cold, right, Cold 12 00:00:47,400 --> 00:00:50,640 Speaker 1: is just the absence of heat energy. And yet if 13 00:00:50,720 --> 00:00:52,959 Speaker 1: you have an experience like mine, when you hold an 14 00:00:52,960 --> 00:00:55,840 Speaker 1: ice cube in your hand, it doesn't just feel like 15 00:00:55,960 --> 00:00:58,240 Speaker 1: heat is leaving your body. It certainly feels like you 16 00:00:58,280 --> 00:01:02,600 Speaker 1: are meeting cold. You are meeting a substance of coldness 17 00:01:02,680 --> 00:01:08,000 Speaker 1: that is an independent material reality in itself, not unlike 18 00:01:08,319 --> 00:01:13,080 Speaker 1: how many people process sight as a beam coming out 19 00:01:13,080 --> 00:01:15,479 Speaker 1: of their eyes, like they think about it in those terms, 20 00:01:15,880 --> 00:01:18,720 Speaker 1: even though most of those people, I think are going 21 00:01:18,760 --> 00:01:21,399 Speaker 1: to realize that that's not how vision works, but we 22 00:01:21,440 --> 00:01:24,679 Speaker 1: can't help it interpret what's happening it as such. Yeah, 23 00:01:24,680 --> 00:01:27,600 Speaker 1: it's almost like people think of sight as an apprehending power. 24 00:01:27,680 --> 00:01:30,120 Speaker 1: It's like you would reach out to pick something up. 25 00:01:30,240 --> 00:01:32,840 Speaker 1: So in order to get visions, you must be reaching 26 00:01:32,880 --> 00:01:35,680 Speaker 1: out with your eyes in some way to pull things in. Yeah. 27 00:01:35,959 --> 00:01:39,560 Speaker 1: Also to mention light, there's no such substance in physics 28 00:01:39,560 --> 00:01:42,600 Speaker 1: as darkness. Of course, darkness is just the absence of light. 29 00:01:43,040 --> 00:01:45,399 Speaker 1: But when a cloud passes in front of the sun 30 00:01:46,120 --> 00:01:48,200 Speaker 1: and it casts a shadow over the earth, and you 31 00:01:48,240 --> 00:01:50,760 Speaker 1: get that little shiver when that happens, it is hard 32 00:01:50,880 --> 00:01:54,120 Speaker 1: not to think of that shadow, the darkness, as a 33 00:01:54,200 --> 00:01:56,880 Speaker 1: substance unto itself, at least if you're like me. Yeah, 34 00:01:56,920 --> 00:02:00,480 Speaker 1: I mean unless an entity is actually stepping out of 35 00:02:00,480 --> 00:02:03,680 Speaker 1: the negative material plane, right, if there's actual actually a 36 00:02:03,720 --> 00:02:08,440 Speaker 1: denizen of the shadow realm uh, breaching your immediate universe. Well, 37 00:02:08,440 --> 00:02:11,000 Speaker 1: of course I speak not of beings of darkness, because 38 00:02:11,040 --> 00:02:13,040 Speaker 1: merely to speak of them is to summon them, and 39 00:02:13,080 --> 00:02:17,799 Speaker 1: now we should be watching our backs. But another substance 40 00:02:18,000 --> 00:02:22,600 Speaker 1: like this is the substance of silence. Right, So silence 41 00:02:22,680 --> 00:02:25,080 Speaker 1: is not a thing, it's merely the absence of the 42 00:02:25,200 --> 00:02:29,400 Speaker 1: vibrational pressure waves of energy that we call sound. But 43 00:02:29,520 --> 00:02:33,359 Speaker 1: in psychological terms, I wonder it is silence a substance 44 00:02:33,600 --> 00:02:36,680 Speaker 1: in the same way as cold and darker to me. 45 00:02:37,560 --> 00:02:39,639 Speaker 1: And if it is, I think we may have come 46 00:02:39,639 --> 00:02:45,000 Speaker 1: across some interesting biological reasons for feeling this way. So Robert, 47 00:02:45,000 --> 00:02:47,960 Speaker 1: back in, you and Julie did an episode of this 48 00:02:48,000 --> 00:02:51,440 Speaker 1: show where you talked about the quietest place in the 49 00:02:51,639 --> 00:02:54,200 Speaker 1: entire world. And I went back and listened to the episode, 50 00:02:54,200 --> 00:02:57,320 Speaker 1: and at this time, Uh, the quietest place in the 51 00:02:57,320 --> 00:02:59,919 Speaker 1: world was a type of room known as an an 52 00:03:00,000 --> 00:03:03,320 Speaker 1: a co wick chamber, meaning a chamber that's echo free 53 00:03:03,360 --> 00:03:07,519 Speaker 1: no echoes, at a facility in Minneapolis, Minnesota called or 54 00:03:07,639 --> 00:03:10,960 Speaker 1: Field Laboratories. You remember doing this episode. I assume no 55 00:03:11,000 --> 00:03:14,560 Speaker 1: one has wiped your memory. It's amazing how much I 56 00:03:14,600 --> 00:03:18,560 Speaker 1: forget about some some old episodes. Um, but I do 57 00:03:18,639 --> 00:03:22,320 Speaker 1: remember this one. Yes, Okay, So if you haven't seen it, 58 00:03:22,840 --> 00:03:25,680 Speaker 1: you should google pictures of this lab facility you out 59 00:03:25,720 --> 00:03:28,720 Speaker 1: there listening. According to Atlas Obscura, it's actually in the 60 00:03:28,720 --> 00:03:31,800 Speaker 1: same building where Bob Dylan recorded Blood on the Tracks, 61 00:03:31,800 --> 00:03:34,720 Speaker 1: not the same room, but the same building. Uh, and 62 00:03:34,880 --> 00:03:38,880 Speaker 1: so this room is used to test appliances and equipment 63 00:03:38,960 --> 00:03:42,880 Speaker 1: for sound production under very very sensitive conditions by creating 64 00:03:42,920 --> 00:03:46,480 Speaker 1: the most the quietest environment we could imagine. And to 65 00:03:46,520 --> 00:03:49,080 Speaker 1: achieve these conditions, the room has been built in a 66 00:03:49,200 --> 00:03:52,440 Speaker 1: very weird way. So it's got double layered steel and 67 00:03:52,560 --> 00:03:55,880 Speaker 1: foot thick concrete walls. It's got this vault type door, 68 00:03:56,680 --> 00:04:00,280 Speaker 1: and then on the walls from floor to see ling, 69 00:04:00,360 --> 00:04:04,480 Speaker 1: they are covered with fiberglass acoustic wedges, which are these 70 00:04:04,520 --> 00:04:08,960 Speaker 1: fuzzy looking three foot long axe blades that stab out 71 00:04:08,960 --> 00:04:11,400 Speaker 1: into the room from the walls. And it looks like 72 00:04:11,440 --> 00:04:14,080 Speaker 1: at any moment the trap is going to spring and 73 00:04:14,160 --> 00:04:16,600 Speaker 1: the walls will begin closing in and these wedges are 74 00:04:16,640 --> 00:04:19,720 Speaker 1: going to become interlocking teeth, you know, to grind your 75 00:04:19,760 --> 00:04:22,479 Speaker 1: bones between them. But as far as we know, it 76 00:04:22,600 --> 00:04:24,520 Speaker 1: is not a trap. People have been to the room 77 00:04:24,520 --> 00:04:28,719 Speaker 1: and survived, uh, though maybe not unscathed. So it's just 78 00:04:28,800 --> 00:04:32,719 Speaker 1: a room with a very powerful thirst for absorbing sound. 79 00:04:32,800 --> 00:04:35,159 Speaker 1: And according to the Guinness Book of World Records account 80 00:04:35,440 --> 00:04:38,680 Speaker 1: the ambient sound levels inside it are about negative thirteen 81 00:04:38,960 --> 00:04:41,760 Speaker 1: decibels or d b a actually, which is just an 82 00:04:41,839 --> 00:04:45,760 Speaker 1: adjusted version of decibel measurement we will horrify the audio 83 00:04:45,800 --> 00:04:49,320 Speaker 1: engineers and just use decibels for simplicity, say going forward. 84 00:04:50,600 --> 00:04:54,120 Speaker 1: But so when you when you hear something like negative 85 00:04:54,240 --> 00:04:58,080 Speaker 1: thirteen decibels, that might sound kind of weird, right, How 86 00:04:58,120 --> 00:05:01,159 Speaker 1: how could you have negative sound, especially since you you 87 00:05:01,200 --> 00:05:05,800 Speaker 1: look at various lists and near total silence is zero 88 00:05:06,279 --> 00:05:11,039 Speaker 1: A whispers fifteen, so it's like a negative whisper. How 89 00:05:11,120 --> 00:05:15,000 Speaker 1: is that possible? Well, zero decipels actually doesn't mean no sound. 90 00:05:15,120 --> 00:05:17,760 Speaker 1: Zero decibels is just taken to be the threshold of 91 00:05:17,920 --> 00:05:22,200 Speaker 1: normal human hearing and birth your best hearing. Infancy hearing 92 00:05:22,520 --> 00:05:28,040 Speaker 1: people can usually detect sounds above zero decibels. Below zero decibels, 93 00:05:28,360 --> 00:05:31,000 Speaker 1: you know, too bad a very human scale. It's a 94 00:05:31,040 --> 00:05:34,480 Speaker 1: scale based on human perception of sound, not sound is 95 00:05:34,560 --> 00:05:39,960 Speaker 1: some sort of um, concrete thing outside of human experience exactly. 96 00:05:40,000 --> 00:05:43,599 Speaker 1: And so going into this space of negative decibels is 97 00:05:43,640 --> 00:05:46,560 Speaker 1: like going into the underverse. It puts you in a 98 00:05:46,680 --> 00:05:49,880 Speaker 1: very bizarre state of mind. People who have gone here 99 00:05:49,960 --> 00:05:52,560 Speaker 1: report that they have a hard time staying in the 100 00:05:52,640 --> 00:05:54,839 Speaker 1: room too long. They used to have this thing. All 101 00:05:54,839 --> 00:05:57,520 Speaker 1: the articles about it mentioned this challenge that the owner 102 00:05:57,560 --> 00:06:00,360 Speaker 1: seems very excited about. Where he would test to people 103 00:06:00,360 --> 00:06:02,039 Speaker 1: to see how long they could stay in there. You 104 00:06:02,040 --> 00:06:04,360 Speaker 1: seem to get some kind of sadistic pleasure out of it. 105 00:06:04,400 --> 00:06:07,880 Speaker 1: But in the under verse with the necromongers from Chronicles 106 00:06:07,880 --> 00:06:10,120 Speaker 1: of Riddick, I do appreciate a good Chronicles of Riddick 107 00:06:10,160 --> 00:06:12,960 Speaker 1: reference to. Actually, I've never seen chronically that's the under 108 00:06:13,040 --> 00:06:15,360 Speaker 1: verse is a big deal in that. Oh, the under 109 00:06:15,440 --> 00:06:18,479 Speaker 1: verse is bigger than than Riddick. Oh well, I don't know, 110 00:06:18,560 --> 00:06:20,920 Speaker 1: ridd it's pretty big. If you've seen his arms, he's 111 00:06:21,080 --> 00:06:23,080 Speaker 1: very very big. I guess you'll. You'll have to show 112 00:06:23,080 --> 00:06:26,640 Speaker 1: it to me someday. But so anyway, supposedly, inside this 113 00:06:26,680 --> 00:06:30,680 Speaker 1: antichote chamber, what happens is people become just hyper aware 114 00:06:30,680 --> 00:06:33,200 Speaker 1: of the sounds produced by their own bodies. You are, 115 00:06:33,360 --> 00:06:35,320 Speaker 1: you start to hear the thump of your own heart, 116 00:06:35,720 --> 00:06:38,960 Speaker 1: and hear the kind of squelching of your digestive system, 117 00:06:39,000 --> 00:06:41,480 Speaker 1: and you hear this hissing and rustling which is your 118 00:06:41,480 --> 00:06:47,240 Speaker 1: own respiration. And media reports also claim that people become dizzy, disoriented, 119 00:06:47,279 --> 00:06:50,840 Speaker 1: sometimes kind of panicky, which suggests that our hearing is 120 00:06:50,880 --> 00:06:54,280 Speaker 1: in some way tied to our body orientation and movement. Right, 121 00:06:54,320 --> 00:06:56,880 Speaker 1: you may have read these stories about blind people using 122 00:06:56,960 --> 00:06:59,560 Speaker 1: forms of echolocation to hear where they are in a room. 123 00:07:00,080 --> 00:07:02,760 Speaker 1: This kind of suggests that even people with normal senses, 124 00:07:02,839 --> 00:07:05,920 Speaker 1: all of their senses functioning normally, might still use some 125 00:07:06,000 --> 00:07:10,720 Speaker 1: kind of echolocation and basic body orientation. My favorite detail 126 00:07:10,800 --> 00:07:13,040 Speaker 1: I heard was I read one story in The Guardian 127 00:07:13,080 --> 00:07:14,960 Speaker 1: about a man who went into this room and he 128 00:07:14,960 --> 00:07:18,120 Speaker 1: claimed that after his ears adjusted, he could hear his 129 00:07:18,280 --> 00:07:24,120 Speaker 1: own scalp moving over his skull when he changed facial expressions. 130 00:07:24,720 --> 00:07:26,760 Speaker 1: You know, one of the important things to keep in 131 00:07:26,800 --> 00:07:29,520 Speaker 1: mind about all this too, is that, of course it 132 00:07:29,520 --> 00:07:34,120 Speaker 1: goes without saying that humans have evolved to thrive in 133 00:07:34,160 --> 00:07:37,240 Speaker 1: a certain sort of environment and with a certain amount 134 00:07:37,240 --> 00:07:40,240 Speaker 1: of sound in their immediate environment. So we're we have 135 00:07:40,360 --> 00:07:44,800 Speaker 1: We did not evolve to to live in in quiet chambers. 136 00:07:44,840 --> 00:07:48,080 Speaker 1: We evolved to live in the world, and so when 137 00:07:48,120 --> 00:07:52,400 Speaker 1: we are deprived of almost like the oxygen of sound, 138 00:07:52,720 --> 00:07:55,240 Speaker 1: so much we have to it's almost like the mind 139 00:07:55,280 --> 00:07:57,559 Speaker 1: has to gulp in more of it. If it doesn't 140 00:07:57,560 --> 00:08:00,000 Speaker 1: have something to chew on, it will start chewing on itself, 141 00:08:00,000 --> 00:08:02,840 Speaker 1: which is certainly a trend that occurs time and time 142 00:08:02,880 --> 00:08:06,760 Speaker 1: again in any kind of experiment looking into sensory deprivation, 143 00:08:06,800 --> 00:08:09,640 Speaker 1: and we are discussing, you know, one major area of 144 00:08:09,640 --> 00:08:12,320 Speaker 1: sensory deprivation here. And this is another thing that gets 145 00:08:12,320 --> 00:08:16,840 Speaker 1: mentioned in in context with these anteco chambers is that 146 00:08:16,960 --> 00:08:20,960 Speaker 1: you might go into there and experience auditory hallucinations just 147 00:08:21,040 --> 00:08:24,960 Speaker 1: because of that sensory deprivation element. But anyway, since that 148 00:08:25,040 --> 00:08:27,640 Speaker 1: podcast that you and Julie recorded, there's a new kid 149 00:08:27,680 --> 00:08:32,200 Speaker 1: in town. Microsoft has built a silent mind flare chamber, 150 00:08:32,320 --> 00:08:35,680 Speaker 1: even more psychedelically quiet than the one at oar Field Labs. 151 00:08:36,000 --> 00:08:38,240 Speaker 1: And much like the other facility, this one is used 152 00:08:38,240 --> 00:08:41,839 Speaker 1: for sort of audio and device testing in very sensitive conditions. 153 00:08:42,080 --> 00:08:46,120 Speaker 1: But it's located at Microsoft's Audio lab in Redmond, Washington, 154 00:08:46,320 --> 00:08:50,400 Speaker 1: and according to Business Wire, Microsoft contracted a company called 155 00:08:50,440 --> 00:08:54,199 Speaker 1: Echo Noise Control Technology I think actually the same company 156 00:08:54,200 --> 00:08:56,880 Speaker 1: that built the oar Field room UH to build this 157 00:08:56,960 --> 00:09:00,360 Speaker 1: new dungeon of lost whisperhaps for them, and it was 158 00:09:00,400 --> 00:09:04,959 Speaker 1: completed in July. But compared to or fields negative thirteen decibles, 159 00:09:04,960 --> 00:09:09,200 Speaker 1: this room gets as quiet as negative twenty point six decibles. 160 00:09:09,280 --> 00:09:11,719 Speaker 1: And this is close to about as quiet as a 161 00:09:11,800 --> 00:09:16,000 Speaker 1: room filled with atmosphere can possibly be. So since sound 162 00:09:16,120 --> 00:09:19,400 Speaker 1: is caused by mechanical pressure waves in a medium such 163 00:09:19,440 --> 00:09:21,800 Speaker 1: as air or water. There is no sound at all 164 00:09:21,840 --> 00:09:23,280 Speaker 1: in a vacuum. If you were to go into the 165 00:09:23,320 --> 00:09:25,880 Speaker 1: vacuum of space, you wouldn't hear anything. But in a 166 00:09:26,000 --> 00:09:29,480 Speaker 1: room filled just screams exactly. But in a room filled 167 00:09:29,480 --> 00:09:32,800 Speaker 1: with normal atmosphere, negative twenty three decibles is about as 168 00:09:32,920 --> 00:09:36,040 Speaker 1: quiet as things can get, because that's the sound level 169 00:09:36,320 --> 00:09:39,720 Speaker 1: of what's known as Brownian motion, which is the random 170 00:09:39,800 --> 00:09:45,000 Speaker 1: movement of air particles rustling against one another. I would 171 00:09:45,040 --> 00:09:47,640 Speaker 1: love to hear what that sounds like. I think Brownian 172 00:09:47,960 --> 00:09:51,320 Speaker 1: motion of air particles. There's actually an email album, yeah yeah, 173 00:09:52,080 --> 00:09:57,400 Speaker 1: like a late seventies a perfect companion to metal machine music. Yea. Anyway, 174 00:09:57,440 --> 00:10:02,000 Speaker 1: so I started thinking about this room and about how 175 00:10:02,320 --> 00:10:06,559 Speaker 1: there are actually plenty of god beings and monsters from 176 00:10:06,600 --> 00:10:10,440 Speaker 1: the history of human imagination who have found themselves in 177 00:10:10,640 --> 00:10:14,200 Speaker 1: a dire quest for a place like this room. I 178 00:10:14,240 --> 00:10:17,320 Speaker 1: think that the quest for peace and quiet is it's 179 00:10:17,520 --> 00:10:19,520 Speaker 1: we think of it as something of the modern age, right, 180 00:10:19,960 --> 00:10:22,319 Speaker 1: you live in the city, or there's the traffic horns, 181 00:10:22,360 --> 00:10:27,080 Speaker 1: honking people, screaming people I don't know, arguing about Pokemon 182 00:10:27,160 --> 00:10:29,320 Speaker 1: go and about whether adults should play it or not 183 00:10:29,520 --> 00:10:32,400 Speaker 1: outside your window at all hours of the night. And 184 00:10:33,080 --> 00:10:37,360 Speaker 1: we come to associate this feeling of of this noisy 185 00:10:37,600 --> 00:10:42,400 Speaker 1: cacaphony with modernity. But but this feeling goes way back. 186 00:10:42,720 --> 00:10:46,280 Speaker 1: Oh yeah, I mean, really, humans haven't changed that much, 187 00:10:46,320 --> 00:10:50,520 Speaker 1: not so much that they've stopped being annoying and obnoxious 188 00:10:50,559 --> 00:10:55,760 Speaker 1: and loud. We've we've had a loud talkers among us. 189 00:10:56,520 --> 00:10:59,880 Speaker 1: We've had we've had individuals who cannot wake up silently. 190 00:11:00,520 --> 00:11:03,680 Speaker 1: Uh since time out of mind. Though, then again, I 191 00:11:03,720 --> 00:11:05,640 Speaker 1: do think it's kind of interesting. We're going to mention 192 00:11:05,679 --> 00:11:08,920 Speaker 1: a few of these that the quest for silence, the 193 00:11:08,960 --> 00:11:12,280 Speaker 1: desire for peace and quiet, is often associated with villains, 194 00:11:12,559 --> 00:11:16,760 Speaker 1: not heroes. Well you do see, Yeah, the I mean, 195 00:11:16,800 --> 00:11:19,640 Speaker 1: I think I think it falls on both sides. I 196 00:11:19,679 --> 00:11:23,720 Speaker 1: guess the heroes that are seeking silence, they tend to 197 00:11:23,720 --> 00:11:27,560 Speaker 1: want to share that path to silence with others. So 198 00:11:27,600 --> 00:11:30,440 Speaker 1: it's more about, hey, everybody, let me show you the 199 00:11:30,440 --> 00:11:33,200 Speaker 1: way to the silence. Let me show you a way 200 00:11:33,200 --> 00:11:35,840 Speaker 1: of silence that will better your life, whereas the monsters 201 00:11:35,840 --> 00:11:38,640 Speaker 1: are a little more selfish. Well, one great example of 202 00:11:38,679 --> 00:11:41,960 Speaker 1: this is the enemy a leash the creation myth of 203 00:11:42,000 --> 00:11:46,120 Speaker 1: ancient Mesopotamia, which you see in ancient Sumerian and Babylonian texts. 204 00:11:46,120 --> 00:11:49,520 Speaker 1: Originally at Sumerian focused on the god in Leal. Later 205 00:11:49,640 --> 00:11:53,280 Speaker 1: the Babylonian version is altered to glorify the Babylonian god 206 00:11:53,400 --> 00:11:56,719 Speaker 1: mar Duke. But the story is pretty much that the 207 00:11:56,760 --> 00:12:01,840 Speaker 1: gods Apsu and Tiamat freshwater and salt water personified. They 208 00:12:01,960 --> 00:12:04,920 Speaker 1: they sort of live in this primordial chaos and they 209 00:12:05,000 --> 00:12:09,200 Speaker 1: create a younger generation of gods who just make a 210 00:12:09,200 --> 00:12:14,240 Speaker 1: great rucus. They cause disorder, irritating noise, and Opsu, in 211 00:12:14,320 --> 00:12:18,120 Speaker 1: reaction to this, plots to destroy his creations in order 212 00:12:18,280 --> 00:12:22,120 Speaker 1: to get some peace and quiet. Quote, by day I 213 00:12:22,200 --> 00:12:25,400 Speaker 1: cannot rest, by night, I cannot lie down in peace, 214 00:12:25,720 --> 00:12:29,359 Speaker 1: but I will destroy their way. Let there be lamentation, 215 00:12:29,440 --> 00:12:33,640 Speaker 1: and let us lie down again in peace. Oh nice. Now, 216 00:12:33,640 --> 00:12:36,640 Speaker 1: of course, later a hero has to come and fight 217 00:12:36,720 --> 00:12:40,480 Speaker 1: these beings. Actually, so Opsu gets destroyed, and then Tiamatt 218 00:12:41,000 --> 00:12:44,840 Speaker 1: his his sort of companion, his female counterpart becomes a 219 00:12:44,880 --> 00:12:48,200 Speaker 1: monster that has to be fought. But so yeah, not 220 00:12:48,280 --> 00:12:51,120 Speaker 1: the heroes of the piece here, But they want some 221 00:12:51,200 --> 00:12:54,280 Speaker 1: peace and quiet, that all all these new created beings 222 00:12:54,280 --> 00:12:57,760 Speaker 1: are just too loud and irritating. It's in it always 223 00:12:57,800 --> 00:13:00,600 Speaker 1: the way. The youth are loud, and they need to 224 00:13:00,920 --> 00:13:03,120 Speaker 1: they need to pipe down because those old people are 225 00:13:03,120 --> 00:13:06,280 Speaker 1: trying to get some sleep. I wonder if that is 226 00:13:06,360 --> 00:13:11,840 Speaker 1: what's behind the idea of Grendel in Beowolf, because he 227 00:13:11,840 --> 00:13:15,320 Speaker 1: he quite famously is not a fan of the noise, 228 00:13:15,520 --> 00:13:19,640 Speaker 1: not a fan of the partying that's coming from the 229 00:13:19,679 --> 00:13:22,240 Speaker 1: mead hall across the way, right. So what's what's the 230 00:13:22,280 --> 00:13:26,200 Speaker 1: basic story of Grendel and Beowulf. It's Beowulf comes to 231 00:13:26,520 --> 00:13:30,520 Speaker 1: Rathgar's mead Hall of hero right in the land of 232 00:13:30,559 --> 00:13:33,800 Speaker 1: the Dane men, and they they party in the hall 233 00:13:33,920 --> 00:13:38,040 Speaker 1: and have their big feasts, and somewhere nearby there's this 234 00:13:38,160 --> 00:13:42,600 Speaker 1: monster called Grendel. Not actually described physically very much. Yeah, 235 00:13:43,000 --> 00:13:48,400 Speaker 1: virtually no physical descriptions um, which means basically any interpretation 236 00:13:48,480 --> 00:13:52,800 Speaker 1: you have is valid. I did read some great translations 237 00:13:53,000 --> 00:13:55,520 Speaker 1: of the description. What they do say about him the 238 00:13:55,559 --> 00:13:58,920 Speaker 1: march Stepper, famous who dwelt in the more fins, the 239 00:13:59,000 --> 00:14:02,520 Speaker 1: marsh and the fast nous, a fiend in hell. This 240 00:14:02,600 --> 00:14:07,120 Speaker 1: ghastly demon was named Grendel, infamous stalker of the marches 241 00:14:07,520 --> 00:14:11,360 Speaker 1: who held the Moor's finn and desolate stronghold, the land 242 00:14:11,400 --> 00:14:15,120 Speaker 1: of the marsh Monsters. Nice. I always liked that the 243 00:14:15,120 --> 00:14:18,880 Speaker 1: way John Gardner described him in his novel A Grendel, 244 00:14:18,920 --> 00:14:21,840 Speaker 1: which is one of my my favorites. He described him 245 00:14:21,880 --> 00:14:26,440 Speaker 1: his quote a shadow shooter, earth rim roamer, walker of 246 00:14:26,480 --> 00:14:29,160 Speaker 1: the world's weird wall. Oh, that's so great, and that 247 00:14:29,240 --> 00:14:31,920 Speaker 1: captures this is a feature of the Anglo Saxon poetry, 248 00:14:31,960 --> 00:14:35,320 Speaker 1: is the alliteration there where you hear the same words 249 00:14:35,320 --> 00:14:39,280 Speaker 1: starting consonants used over and over, and Gardner captures that 250 00:14:39,480 --> 00:14:41,560 Speaker 1: very well. But anyway, so in the story, of course, 251 00:14:41,600 --> 00:14:44,360 Speaker 1: Beowulf has to go and kill Grendel, and the reason 252 00:14:44,400 --> 00:14:47,480 Speaker 1: he does that is because he's a jerk, basically he is. 253 00:14:47,520 --> 00:14:51,880 Speaker 1: But also it's because Grendel comes into Rothgar's mead hall 254 00:14:52,040 --> 00:14:55,240 Speaker 1: and and messes him up. He comes in and kills 255 00:14:55,360 --> 00:14:57,120 Speaker 1: He does kill a lot of a lot of people 256 00:14:57,480 --> 00:15:00,880 Speaker 1: in the uh in the Damon's the sense. Yeah, so 257 00:15:00,960 --> 00:15:02,800 Speaker 1: why does he come into the meat hall and kill 258 00:15:02,840 --> 00:15:04,400 Speaker 1: the Dane men? Well, there are a couple of ways 259 00:15:04,440 --> 00:15:06,800 Speaker 1: you could read this, but the basic way is the 260 00:15:06,840 --> 00:15:09,560 Speaker 1: way it's described in the poem. It's kind of vague, 261 00:15:09,600 --> 00:15:12,600 Speaker 1: but it seems like he's annoyed by the noise they're making. 262 00:15:13,200 --> 00:15:17,680 Speaker 1: So one translation reads quote then the bold spirit impatiently 263 00:15:17,840 --> 00:15:21,640 Speaker 1: endured dreary time, He who dwelt in darkness. He that 264 00:15:21,800 --> 00:15:25,120 Speaker 1: every day heard noise of revelry loud in the hall. 265 00:15:25,560 --> 00:15:28,360 Speaker 1: There was the harmony of the harp, the sweet song 266 00:15:28,480 --> 00:15:31,920 Speaker 1: of the poet. Uh, and he doesn't like this noise. Now, 267 00:15:31,920 --> 00:15:34,240 Speaker 1: it's unclear to me, and I think they're actually differing 268 00:15:34,280 --> 00:15:37,120 Speaker 1: opinions on this. Whether the text means that Grendel was 269 00:15:37,400 --> 00:15:41,119 Speaker 1: actually jealous of the Danes, you know, friendship and happiness, 270 00:15:41,120 --> 00:15:44,000 Speaker 1: their their camaraderie and the party, or merely that he 271 00:15:44,080 --> 00:15:47,480 Speaker 1: just couldn't stand the noise. The sound of it bothered him. 272 00:15:47,560 --> 00:15:50,040 Speaker 1: But is it the same question we ask ourselves when 273 00:15:50,120 --> 00:15:53,040 Speaker 1: whenever we're annoyed by a neighbor having a loud party? 274 00:15:53,360 --> 00:15:56,640 Speaker 1: Am I annoyed because they are loud and I want 275 00:15:56,680 --> 00:15:59,080 Speaker 1: to sleep right now? Where am I loud because I 276 00:15:59,120 --> 00:16:02,120 Speaker 1: was not invited? Or I am not invited to parties 277 00:16:02,120 --> 00:16:04,800 Speaker 1: like this anymore? That that line of questioning, well, it 278 00:16:04,880 --> 00:16:07,560 Speaker 1: might be hard to tell the difference. Yeah, Robert, you 279 00:16:07,640 --> 00:16:12,000 Speaker 1: made a fascinating observation I had never considered before. Oh yeah, 280 00:16:12,320 --> 00:16:15,360 Speaker 1: tell me tell me about Oh well, I've I read 281 00:16:15,360 --> 00:16:17,720 Speaker 1: a lot of Dr SEUs folks these days, and so 282 00:16:17,880 --> 00:16:21,600 Speaker 1: anytime I read or if we end up viewing The Grinch, 283 00:16:21,640 --> 00:16:26,480 Speaker 1: Who's still Christmas, the comparisons are are pretty uh, are 284 00:16:26,520 --> 00:16:30,480 Speaker 1: pretty obvious, because in Grendel you have a monster that 285 00:16:30,640 --> 00:16:33,360 Speaker 1: lives out in the boonies who comes into the center 286 00:16:33,360 --> 00:16:37,680 Speaker 1: of civilization and unleash's havoc when there is too much noise, 287 00:16:38,200 --> 00:16:40,800 Speaker 1: and the same thing happens with the Grinch. The Grinch 288 00:16:41,240 --> 00:16:43,840 Speaker 1: hates the noise of the Christmas season, even the g 289 00:16:44,120 --> 00:16:47,000 Speaker 1: r is there. Yea, it seems like it's got to 290 00:16:47,040 --> 00:16:51,000 Speaker 1: be intentional, right, Oh, the noise, noise, noise, noise, noise. 291 00:16:51,040 --> 00:16:54,600 Speaker 1: There's one thing I hate all the noise, noise, noise, noise. 292 00:16:54,680 --> 00:16:58,040 Speaker 1: It's the who's in Whoville are like the Dane men 293 00:16:58,040 --> 00:17:00,800 Speaker 1: and hero Yeah, except instead of uh, you know, coming 294 00:17:00,800 --> 00:17:03,320 Speaker 1: in and killing who's, he just was gonna he's gonna, 295 00:17:04,160 --> 00:17:07,359 Speaker 1: uh you know, he's gonna surgically remove the cause of 296 00:17:07,359 --> 00:17:10,560 Speaker 1: their joy, uh, and the joy being the cause of 297 00:17:10,600 --> 00:17:12,840 Speaker 1: their noise. But of course that backfires and he has 298 00:17:12,920 --> 00:17:16,800 Speaker 1: to remove Christmas. But then his heart grew three sizes 299 00:17:16,800 --> 00:17:20,479 Speaker 1: that day. Yeah, they're a number of anatomical complications in 300 00:17:20,480 --> 00:17:24,240 Speaker 1: the comparison, but it doesn't happen to Grendel. Grendel, I 301 00:17:24,280 --> 00:17:28,080 Speaker 1: believe his head shrinks many sizes that day. Yeah, but 302 00:17:28,119 --> 00:17:30,160 Speaker 1: well I'm not sure he gets his head cut off. Yeah. 303 00:17:30,200 --> 00:17:33,280 Speaker 1: Also of the arm, yeah, arm to the arm, the 304 00:17:33,359 --> 00:17:35,600 Speaker 1: arm is cut off? First, is that a call going 305 00:17:35,840 --> 00:17:38,960 Speaker 1: got cut off? Because I think blades don't quite cut him, 306 00:17:39,000 --> 00:17:41,439 Speaker 1: like blades melt or something when they when they they 307 00:17:41,520 --> 00:17:45,399 Speaker 1: hit his blood. Description, there's some descriptions that can be 308 00:17:45,440 --> 00:17:49,560 Speaker 1: interpreted that either Grendel's blood is acidic and is eating 309 00:17:49,560 --> 00:17:51,679 Speaker 1: through the blade or it is so hot that it 310 00:17:51,800 --> 00:17:55,399 Speaker 1: is melting the blade. But Beowulf just rips off the 311 00:17:55,520 --> 00:17:58,840 Speaker 1: arm and then Grendel runs away. Wow. So here we've 312 00:17:58,840 --> 00:18:03,480 Speaker 1: got these monsters and god beings, uh, causing mayhem and 313 00:18:03,560 --> 00:18:07,080 Speaker 1: havoc and trouble for the creatures that dwell under their 314 00:18:07,240 --> 00:18:10,639 Speaker 1: level of power by trying to shut them up, just 315 00:18:10,760 --> 00:18:13,359 Speaker 1: wanting silence. And and if we can only find a 316 00:18:13,440 --> 00:18:16,119 Speaker 1: room for Grendel, if we could find an antechoic chamber, 317 00:18:16,160 --> 00:18:18,439 Speaker 1: for him, this never would have happened. But I wondered 318 00:18:18,480 --> 00:18:22,360 Speaker 1: if there are any straight up gods of silence. Well 319 00:18:22,400 --> 00:18:27,080 Speaker 1: there is, um Hippocrates, the Greek god of silence, and 320 00:18:27,080 --> 00:18:30,159 Speaker 1: he's thought to have evolved from a childhood variant of 321 00:18:30,200 --> 00:18:35,480 Speaker 1: the Egyptian god Horace. But ultimately Hippocrates is really more 322 00:18:35,560 --> 00:18:40,160 Speaker 1: about secrets than silence. So it's it's more about yeah, 323 00:18:40,280 --> 00:18:45,600 Speaker 1: you know, occult knowledge in many interpretations, as opposed to 324 00:18:45,960 --> 00:18:48,320 Speaker 1: just oh I need a nice meditative place to think. 325 00:18:48,560 --> 00:18:51,119 Speaker 1: I knew there was a group of monsters in Doctor 326 00:18:51,160 --> 00:18:53,280 Speaker 1: who called the Silence, but I looked at them up 327 00:18:53,280 --> 00:18:55,720 Speaker 1: and found that their name is somewhat misleading. Oh what 328 00:18:55,760 --> 00:18:59,480 Speaker 1: do they do? Uh? They engineer history and cause people 329 00:18:59,520 --> 00:19:03,200 Speaker 1: to have mass forgettings of events and stuff. But as 330 00:19:03,200 --> 00:19:07,119 Speaker 1: far as I know, they're not especially all that quiet. Uh, well, 331 00:19:07,440 --> 00:19:09,800 Speaker 1: one one that is quiet. I have to confess, I'm 332 00:19:09,800 --> 00:19:12,119 Speaker 1: not a doctor expert. I don't know that much. What 333 00:19:12,200 --> 00:19:16,080 Speaker 1: did you ever watch Buffy? No? I actually didn't. Should 334 00:19:16,760 --> 00:19:18,520 Speaker 1: It's a lot of fun. You know, you kind of 335 00:19:18,560 --> 00:19:22,000 Speaker 1: have to plow through that first season, but but it's 336 00:19:22,080 --> 00:19:24,359 Speaker 1: it's all it's all fun after that, As I recall 337 00:19:24,880 --> 00:19:29,280 Speaker 1: but one episode in particular, one of the best episodes UH, 338 00:19:29,440 --> 00:19:33,760 Speaker 1: is titled Hush, and it concerns a group of sort 339 00:19:33,760 --> 00:19:37,720 Speaker 1: of fairy tale ghoulish creatures called the Gentleman, and they 340 00:19:37,960 --> 00:19:41,560 Speaker 1: come to town to steal everyone's voices, leaving them unable 341 00:19:41,600 --> 00:19:45,120 Speaker 1: to scream when they come around and cut everyone's hearts out. 342 00:19:46,040 --> 00:19:48,560 Speaker 1: And then we finally learned that if you the reason 343 00:19:48,640 --> 00:19:51,840 Speaker 1: here is because loud noises such as those caused by 344 00:19:51,840 --> 00:19:55,760 Speaker 1: a screaming human, caused the creatures heads to explode. Now 345 00:19:55,840 --> 00:19:58,000 Speaker 1: that's funny. You should mention it, because one thing we 346 00:19:58,040 --> 00:20:01,960 Speaker 1: do know is that loud no noises can definitely cause 347 00:20:02,040 --> 00:20:04,800 Speaker 1: injury and damage to live in creatures. Oh yeah, I 348 00:20:04,800 --> 00:20:06,920 Speaker 1: mean there's a lot of data out there about about 349 00:20:06,960 --> 00:20:11,480 Speaker 1: noise pollution. UM. You know various uh, various humans, I 350 00:20:11,480 --> 00:20:14,520 Speaker 1: mean humans even, but also playing of non human animals. Uh. 351 00:20:14,640 --> 00:20:17,440 Speaker 1: The distraction alone can put many prey animals at an 352 00:20:17,440 --> 00:20:20,840 Speaker 1: increasing risk of predation. Uh. And the more pronounced effects 353 00:20:20,840 --> 00:20:24,040 Speaker 1: are generally found in marine mammals such as whales and 354 00:20:24,119 --> 00:20:28,440 Speaker 1: also in cephalopods. UH. The giant squid actually offers the 355 00:20:29,600 --> 00:20:32,359 Speaker 1: clearest example of this. Yeah. In the in the early 356 00:20:32,400 --> 00:20:37,080 Speaker 1: two thousand's low frequency sound pulse exercises that I believe 357 00:20:37,119 --> 00:20:41,199 Speaker 1: we're being utilized by the oil industry. Um. It was 358 00:20:41,240 --> 00:20:44,600 Speaker 1: like dynamite fishing for squid, right right, Yeah, essentially, so 359 00:20:44,640 --> 00:20:48,400 Speaker 1: they're they're blasting out these uh, these low frequency pulses 360 00:20:48,440 --> 00:20:51,360 Speaker 1: and then dead squid start up, start just popping up, 361 00:20:51,760 --> 00:20:56,080 Speaker 1: and they seem to have extensive bodily damage. And uh 362 00:20:56,080 --> 00:20:59,359 Speaker 1: when they looked closer, they found that like their mantles 363 00:20:59,359 --> 00:21:03,840 Speaker 1: were reduced pulp, there was bruised muscles, lesions in their statusists, 364 00:21:03,880 --> 00:21:07,040 Speaker 1: which are these fluid filled organs that rest behind the 365 00:21:07,040 --> 00:21:10,320 Speaker 1: creatures eyes that helped them maintain their ballots and position. 366 00:21:10,840 --> 00:21:13,440 Speaker 1: In a few years after this, Spanish marine biologists and 367 00:21:13,520 --> 00:21:18,119 Speaker 1: gal Gara investigated this further and found that low frequency 368 00:21:18,359 --> 00:21:22,080 Speaker 1: sound exposure intensities between a hundred fifty seven hundred seventy 369 00:21:22,119 --> 00:21:27,000 Speaker 1: five decibels and frequency range which is very loud. Should say, Yeah, 370 00:21:27,040 --> 00:21:29,760 Speaker 1: one of the things to drive home and throw some 371 00:21:30,080 --> 00:21:33,600 Speaker 1: throughout some comparisons here in a bit is that, yeah, underwater, uh, 372 00:21:33,760 --> 00:21:36,600 Speaker 1: sounds can really get up there. Some of our loudest 373 00:21:36,920 --> 00:21:42,000 Speaker 1: noises on Earth they're occurring underwater. Um. But but anyway, 374 00:21:42,000 --> 00:21:45,040 Speaker 1: in this experiment, found that that there was a great 375 00:21:45,040 --> 00:21:49,239 Speaker 1: deal of UH statusist tissue damage, including the destruction of 376 00:21:49,320 --> 00:21:52,960 Speaker 1: tiny inverted hair like sensory structures in the cells that 377 00:21:53,080 --> 00:21:56,160 Speaker 1: helped the creatures maintain their balance. So this effectively crippled 378 00:21:56,200 --> 00:22:01,120 Speaker 1: them and even the the the various salivods that they studied, 379 00:22:01,600 --> 00:22:04,560 Speaker 1: the ones that survived the experiment exhibited in some cases 380 00:22:04,720 --> 00:22:08,119 Speaker 1: visible holes in the tissues. So we're talking, you know, 381 00:22:08,720 --> 00:22:13,239 Speaker 1: legitimate kind Yeah, yeah, yeah, I mean the worst. If 382 00:22:13,440 --> 00:22:16,359 Speaker 1: you're comparing places to be next to a bomb um, 383 00:22:16,600 --> 00:22:19,080 Speaker 1: the water is far worse. Like if someone throw If 384 00:22:19,080 --> 00:22:21,720 Speaker 1: you're at if your pool side and someone throws a grenade, 385 00:22:22,359 --> 00:22:25,400 Speaker 1: two grenades into your vicinity, one in the water, one 386 00:22:25,520 --> 00:22:29,160 Speaker 1: on the surface. Definitely stay on the surface, but also 387 00:22:29,240 --> 00:22:32,360 Speaker 1: avoid pool parties where grenades are being thrown around. How 388 00:22:32,359 --> 00:22:35,080 Speaker 1: do you keep getting invited to those I don't know? Um? 389 00:22:35,080 --> 00:22:37,159 Speaker 1: Like when I when I when they stopped inviting me, 390 00:22:37,200 --> 00:22:39,040 Speaker 1: And then I'm gonna I'm gonna feel bad. I'm gonna 391 00:22:39,040 --> 00:22:41,520 Speaker 1: look back on and say, why why don't they invite 392 00:22:41,520 --> 00:22:45,439 Speaker 1: me to these loud, noisy grenade parties? Uh? And I 393 00:22:45,480 --> 00:22:48,119 Speaker 1: wish I could go to sleep now Robert right before 394 00:22:48,119 --> 00:22:50,479 Speaker 1: we get back to the subject of silence. I know 395 00:22:50,560 --> 00:22:52,480 Speaker 1: everybody wants to know how do you make a human 396 00:22:52,480 --> 00:22:55,199 Speaker 1: head explode with sound? All right, so this is a 397 00:22:55,240 --> 00:22:59,000 Speaker 1: pretty cool There was a popular science article by seth 398 00:22:59,119 --> 00:23:01,960 Speaker 1: ET's horror at that came out a few years back, 399 00:23:02,000 --> 00:23:04,199 Speaker 1: and he looked into this. Include but we'll make sure 400 00:23:04,200 --> 00:23:05,600 Speaker 1: we include a link to this on the landing page 401 00:23:05,640 --> 00:23:08,480 Speaker 1: for this episode, because it's worth checking out. But he 402 00:23:08,840 --> 00:23:12,960 Speaker 1: ruled that yes, sufficiently powerful sound waves can make a 403 00:23:13,040 --> 00:23:17,720 Speaker 1: human head explode, much like the the Gentleman on Buffy Um. 404 00:23:17,800 --> 00:23:22,000 Speaker 1: Because uh infrasound is essentially a hell of a thing. 405 00:23:22,440 --> 00:23:25,840 Speaker 1: So if you crank it up to eighteen point ninety 406 00:23:25,880 --> 00:23:29,640 Speaker 1: eight hurts the same resonance of the human eye, and 407 00:23:29,680 --> 00:23:34,840 Speaker 1: the resulting distortions can make you see weird ghostly shapes. However, 408 00:23:34,960 --> 00:23:38,280 Speaker 1: if you crank it up to two hundred and forty decibels, 409 00:23:38,720 --> 00:23:43,120 Speaker 1: you can get the skull to resonate destructively. Especially it's 410 00:23:43,200 --> 00:23:45,439 Speaker 1: especially the case if you're using a debt like a 411 00:23:45,480 --> 00:23:49,080 Speaker 1: cadaver head. But but this could conceivably be the case 412 00:23:49,119 --> 00:23:52,080 Speaker 1: with a living head as well. To put that in perspective, 413 00:23:52,320 --> 00:23:55,600 Speaker 1: low frequency sonar can reach two hundred and thirty five decibels, 414 00:23:56,080 --> 00:23:59,440 Speaker 1: and the nineteen o eight Tunguska event, you know, of 415 00:23:59,520 --> 00:24:02,680 Speaker 1: course they and you earth object colliding with the Earth. 416 00:24:02,840 --> 00:24:06,040 Speaker 1: It's heard around the world, perhaps the loudest single event 417 00:24:06,080 --> 00:24:08,600 Speaker 1: in modern history, and it probably hit three hundred to 418 00:24:08,640 --> 00:24:14,880 Speaker 1: three so loud stuff. So we've never seen anybody's head 419 00:24:14,920 --> 00:24:18,000 Speaker 1: explode from sound. No And I think the way that, 420 00:24:19,560 --> 00:24:22,600 Speaker 1: the way that Horowitz explained it is that if you 421 00:24:22,600 --> 00:24:25,600 Speaker 1: were setting there, you if you had the technology to 422 00:24:25,720 --> 00:24:27,719 Speaker 1: do it, you would still get bored, and you just 423 00:24:27,760 --> 00:24:29,959 Speaker 1: probably want to brain the person in the head with 424 00:24:30,080 --> 00:24:32,399 Speaker 1: the device you're using. Like it's it's not a bit. 425 00:24:32,480 --> 00:24:34,440 Speaker 1: There are far better ways to make a head explode 426 00:24:34,520 --> 00:24:38,520 Speaker 1: than depending on sound. Okay. So we've been talking about 427 00:24:38,560 --> 00:24:42,520 Speaker 1: the idea of silence as a substance and where you 428 00:24:42,560 --> 00:24:45,480 Speaker 1: can find it. And one piece that I came across 429 00:24:45,480 --> 00:24:47,840 Speaker 1: that I thought was pretty interesting was a short article 430 00:24:48,320 --> 00:24:51,320 Speaker 1: in High Country News, which is a very good magazine 431 00:24:51,359 --> 00:24:54,280 Speaker 1: focusing on nature in the American West, uh and it 432 00:24:54,400 --> 00:24:57,640 Speaker 1: was about places of quiet in the American wilderness. Now, 433 00:24:57,720 --> 00:25:00,240 Speaker 1: we often think about human activity is the prime very 434 00:25:00,280 --> 00:25:03,320 Speaker 1: purveyor of noise, which it usually is. But leaving the 435 00:25:03,359 --> 00:25:06,000 Speaker 1: city doesn't always mean heading to a place of quiet. 436 00:25:06,040 --> 00:25:08,560 Speaker 1: Of course. I think about William Butler Yates Lake Isle 437 00:25:08,560 --> 00:25:10,320 Speaker 1: of innist Free. He wants to get away from the 438 00:25:10,359 --> 00:25:13,119 Speaker 1: bustle of the city. But where he's going isn't going 439 00:25:13,160 --> 00:25:14,760 Speaker 1: to be silent, right, because he's going to live in 440 00:25:14,800 --> 00:25:19,240 Speaker 1: the b loud glade. What a great term. But anyway, 441 00:25:19,280 --> 00:25:21,960 Speaker 1: you know nature, you hear the nature sounds, the crickets, 442 00:25:22,000 --> 00:25:25,199 Speaker 1: the wind, wrestling the leaves. But even in nature, some 443 00:25:25,240 --> 00:25:28,280 Speaker 1: places are louder than others. So at uh that they 444 00:25:28,440 --> 00:25:32,080 Speaker 1: talked about Idaho's City of Rocks National Reserve. It's going 445 00:25:32,119 --> 00:25:34,320 Speaker 1: to be very quiet, but you'll still probably hear the 446 00:25:34,359 --> 00:25:39,000 Speaker 1: faint sounds of running water and wrestling leaves. Um and 447 00:25:39,119 --> 00:25:43,080 Speaker 1: it can get quieter. One example is Colorado's Great Sand 448 00:25:43,160 --> 00:25:47,000 Speaker 1: Dunes National Park, which is very quiet. According to research 449 00:25:47,040 --> 00:25:49,639 Speaker 1: by the National Park Service, It's almost as quiet as 450 00:25:49,640 --> 00:25:54,040 Speaker 1: it was before the European colonization of America. But like 451 00:25:54,160 --> 00:25:57,880 Speaker 1: the Antichoic Chamber, this level of silence sort of highlights 452 00:25:57,920 --> 00:26:01,800 Speaker 1: an underlying lack of islands. You go into the chamber 453 00:26:01,880 --> 00:26:04,760 Speaker 1: and you hear your heartbeat, your scalp moving all of 454 00:26:04,800 --> 00:26:08,040 Speaker 1: that creepy stuff. You apparently go to Great Sand Dunes 455 00:26:08,160 --> 00:26:12,240 Speaker 1: National Park and they say that you hear other sounds 456 00:26:12,320 --> 00:26:16,000 Speaker 1: from very far away, for example, the sounds of the 457 00:26:16,040 --> 00:26:19,480 Speaker 1: Denver International Airport. I did a quick Google Maps check 458 00:26:19,560 --> 00:26:21,800 Speaker 1: to see how far away that is, and it's about 459 00:26:21,800 --> 00:26:24,439 Speaker 1: two hundred and fifty miles or a four hour drive. 460 00:26:25,160 --> 00:26:29,119 Speaker 1: So if this is true, you're you're hearing planes taking 461 00:26:29,160 --> 00:26:34,479 Speaker 1: off from two fifty miles away. That's just crazy. They 462 00:26:34,520 --> 00:26:37,399 Speaker 1: also put together, the National Park Service put together a 463 00:26:37,440 --> 00:26:40,840 Speaker 1: map of America with color coding for different levels of noise, 464 00:26:41,040 --> 00:26:44,639 Speaker 1: and so they have these blue regions where it's very quiet, 465 00:26:44,680 --> 00:26:47,439 Speaker 1: in these yellow regions where it's allowed. One thing I 466 00:26:47,520 --> 00:26:51,639 Speaker 1: noticed is that there's a very sharp east west divide. 467 00:26:51,680 --> 00:26:55,560 Speaker 1: The west is much quieter than the east, and I 468 00:26:55,600 --> 00:26:58,760 Speaker 1: would say from experience, I think that's right. Even being 469 00:26:58,800 --> 00:27:01,080 Speaker 1: in the wilderness, if you get out of the City's 470 00:27:01,640 --> 00:27:03,919 Speaker 1: when I noticed. Going to the wilderness in the east, 471 00:27:04,040 --> 00:27:07,800 Speaker 1: it's I don't know, you hear bugs, and you hear wind, 472 00:27:07,880 --> 00:27:11,080 Speaker 1: rustling leaves and stuff like that. Probably the quietest place 473 00:27:11,119 --> 00:27:15,399 Speaker 1: I can ever remember being was the desert in southwest Texas. 474 00:27:15,520 --> 00:27:17,960 Speaker 1: At Big Ben National Park where there was this one 475 00:27:18,000 --> 00:27:21,560 Speaker 1: day where I was riding around in a car with 476 00:27:22,119 --> 00:27:25,240 Speaker 1: my wife Rachel and her cousin Marie, and one day 477 00:27:25,359 --> 00:27:27,800 Speaker 1: we we parked and I went off by myself to 478 00:27:27,880 --> 00:27:31,320 Speaker 1: hike up a short little trail, and by myself. At 479 00:27:31,320 --> 00:27:34,200 Speaker 1: the top of this trail, I can remember just hearing nothing. 480 00:27:34,800 --> 00:27:38,280 Speaker 1: I couldn't hear any water, any insects, any birds, any 481 00:27:38,400 --> 00:27:42,280 Speaker 1: wind or leaves. The air was very still. I just 482 00:27:42,480 --> 00:27:45,920 Speaker 1: heard this kind of vague whir of things, very distant. 483 00:27:46,160 --> 00:27:50,160 Speaker 1: And it's one of the bluest places on the map. Actually, yeah, 484 00:27:50,200 --> 00:27:52,600 Speaker 1: I mean it's it's impressive to look one of these maps. 485 00:27:52,640 --> 00:27:55,040 Speaker 1: You know where not to move if you are a 486 00:27:55,119 --> 00:27:59,800 Speaker 1: Grendel or a granch So like obviously, don't go virtually 487 00:28:00,119 --> 00:28:03,880 Speaker 1: where in New England, stay out of the Midwest. Don't 488 00:28:03,920 --> 00:28:07,160 Speaker 1: go to Florida. Even the sparsely populated Midwest. It looks 489 00:28:07,160 --> 00:28:08,879 Speaker 1: like they're there are a lot of places that are 490 00:28:08,920 --> 00:28:11,119 Speaker 1: kind of yellow, and I wonder if that's because of 491 00:28:12,160 --> 00:28:14,520 Speaker 1: it kind of flat landscape and a lot of highways. 492 00:28:14,600 --> 00:28:17,679 Speaker 1: You can hear traffic from very far away. Yeah, you 493 00:28:17,720 --> 00:28:19,600 Speaker 1: pretty much have to go to the desert okay, but 494 00:28:19,680 --> 00:28:22,560 Speaker 1: I think we should actually talk about some medical research 495 00:28:23,080 --> 00:28:27,240 Speaker 1: with reference to silence and noise. Now everybody knows, of course, 496 00:28:27,280 --> 00:28:30,320 Speaker 1: that noise can be really irritating, but I think we 497 00:28:30,359 --> 00:28:33,000 Speaker 1: don't often realize the extent to which noise takes a 498 00:28:33,119 --> 00:28:37,280 Speaker 1: measurable toll on human on human health, and some people 499 00:28:37,280 --> 00:28:40,400 Speaker 1: have actually tried to measure this. For example, I found 500 00:28:40,480 --> 00:28:45,400 Speaker 1: oneten study in the Lancet that said, quote, Observational and 501 00:28:45,760 --> 00:28:49,680 Speaker 1: experimental studies have shown that noise exposure leads to annoyance, 502 00:28:49,840 --> 00:28:54,600 Speaker 1: disturbed sleep, and causes daytime sleepiness, affects patient outcomes and 503 00:28:54,680 --> 00:28:58,920 Speaker 1: staff performance in hospitals, increases the occurrence of hypertension and 504 00:28:58,960 --> 00:29:03,960 Speaker 1: cardiovascular disease, and impairs cognitive performance in school children. Now, 505 00:29:03,960 --> 00:29:06,120 Speaker 1: if all these things were being caused by some food 506 00:29:06,160 --> 00:29:09,680 Speaker 1: additive or something, we would be freaking out. Yeah, you 507 00:29:09,680 --> 00:29:13,240 Speaker 1: know there. I believe that the childhood front there there 508 00:29:13,240 --> 00:29:15,920 Speaker 1: have been studies in recent years that have looked into 509 00:29:16,120 --> 00:29:18,720 Speaker 1: like the role background music plays and how that can 510 00:29:18,760 --> 00:29:22,360 Speaker 1: actually that has a can have a detrimental effect on 511 00:29:23,320 --> 00:29:26,280 Speaker 1: on On one hand, I'm just communicating with the kid 512 00:29:26,320 --> 00:29:29,120 Speaker 1: and like getting their attention because even though you're cool, 513 00:29:29,520 --> 00:29:32,080 Speaker 1: with some ambient music playing in the background, and that 514 00:29:32,200 --> 00:29:35,600 Speaker 1: enhances your experiences of the scenario. It can be actually 515 00:29:35,640 --> 00:29:38,600 Speaker 1: kind of distracting for them. And I believe that it 516 00:29:39,000 --> 00:29:42,880 Speaker 1: occasionally even has been shown to to bleed over into 517 00:29:43,000 --> 00:29:46,640 Speaker 1: language acquisition to some degree. I don't have the research 518 00:29:46,680 --> 00:29:48,520 Speaker 1: in front of me right now, but it's interesting. But 519 00:29:48,560 --> 00:29:51,120 Speaker 1: even but even then, the noise that we take for granted, 520 00:29:51,160 --> 00:29:53,280 Speaker 1: the stuff that's not noise, the stuff that we the 521 00:29:53,800 --> 00:29:58,440 Speaker 1: adults put on to cancel out the noise, can itself, um, 522 00:29:58,480 --> 00:30:01,720 Speaker 1: you know, have a noisome effect. Yeah, And so when 523 00:30:01,720 --> 00:30:04,120 Speaker 1: you're exposed to a noise, of course, this activates a 524 00:30:04,200 --> 00:30:06,600 Speaker 1: stress response in the brain and goes to the amygdala, 525 00:30:06,680 --> 00:30:10,000 Speaker 1: and that triggers there is the release of stress hormones 526 00:30:10,040 --> 00:30:12,840 Speaker 1: like cortisol. And of course these hormones serve a purpose 527 00:30:12,880 --> 00:30:15,200 Speaker 1: in nature, right if you you've got you've got to 528 00:30:15,200 --> 00:30:16,640 Speaker 1: get ready for a fight, or you've got to be 529 00:30:16,720 --> 00:30:20,320 Speaker 1: able to run. But if you've just got continuously elevated 530 00:30:20,400 --> 00:30:23,680 Speaker 1: levels of stress hormone being triggered by noises that have 531 00:30:23,840 --> 00:30:27,800 Speaker 1: no relevance to you whatsoever, that's not good for your health. 532 00:30:27,880 --> 00:30:30,080 Speaker 1: And there's no good reason for it. Yeah, so we're 533 00:30:30,080 --> 00:30:34,560 Speaker 1: talking like horns, honking um, things out of the ordinary, 534 00:30:34,560 --> 00:30:36,320 Speaker 1: things that your mind hasn't had a chance to sort 535 00:30:36,360 --> 00:30:40,120 Speaker 1: of program into the normal rate of sounds. Jackhammers on 536 00:30:40,160 --> 00:30:44,080 Speaker 1: the floor above you in the office. Yeah, it's weird 537 00:30:44,120 --> 00:30:46,400 Speaker 1: to think about this because I actually live next to 538 00:30:46,480 --> 00:30:50,920 Speaker 1: train tracks and I virtually never hear Like I hear 539 00:30:50,960 --> 00:30:53,720 Speaker 1: them all the time, but I almost never register them, uh, 540 00:30:53,760 --> 00:30:55,920 Speaker 1: And they never interfere with my in my sleep or anything, 541 00:30:55,960 --> 00:30:58,880 Speaker 1: unless there's a sound that that happens that's out of 542 00:30:58,880 --> 00:31:02,760 Speaker 1: the ordinary, some sort of occasionally there's like this huge 543 00:31:02,800 --> 00:31:07,400 Speaker 1: shuddering um stop to a train it's making its way through. 544 00:31:07,760 --> 00:31:12,040 Speaker 1: But other than that, I legitimately haven't really heard the 545 00:31:12,120 --> 00:31:15,040 Speaker 1: train in a distractive manner since the day I moved 546 00:31:15,080 --> 00:31:17,520 Speaker 1: into the house. Well, there's one thing I would say 547 00:31:17,560 --> 00:31:20,080 Speaker 1: is that you might not even be aware of the 548 00:31:20,160 --> 00:31:24,560 Speaker 1: extent to which it is disturbing your sleep, because noise 549 00:31:24,680 --> 00:31:28,720 Speaker 1: disturbance of sleep is a major factor in these health outcomes. 550 00:31:29,160 --> 00:31:31,800 Speaker 1: In fact, in two thousand eleven, the World Health Organization 551 00:31:31,800 --> 00:31:34,040 Speaker 1: they put together this big report and they were collecting 552 00:31:34,080 --> 00:31:36,920 Speaker 1: evidence on the public health risks posed by noise in 553 00:31:37,240 --> 00:31:41,000 Speaker 1: European Union member states, and they actually put numbers on it. 554 00:31:41,040 --> 00:31:43,400 Speaker 1: They tried to take what we know and make some 555 00:31:43,640 --> 00:31:46,600 Speaker 1: estimates of what the total effects are. And of course 556 00:31:46,600 --> 00:31:49,680 Speaker 1: what they were calculating this in was something called dailies 557 00:31:49,800 --> 00:31:54,400 Speaker 1: or disability adjusted life here. So how many healthy years 558 00:31:54,640 --> 00:31:58,280 Speaker 1: is this issue taking off of people's lives? You can 559 00:31:58,320 --> 00:32:01,560 Speaker 1: measure a lot of negative health UH factors that way, 560 00:32:02,560 --> 00:32:05,720 Speaker 1: and they said, quote, with conservative assumptions applied to the 561 00:32:05,720 --> 00:32:10,160 Speaker 1: calculation methods, it's estimated that UH daily is lost from 562 00:32:10,280 --> 00:32:15,000 Speaker 1: environmental noise are sixty one thousand years for heart disease, 563 00:32:15,400 --> 00:32:19,640 Speaker 1: forty five thousand years for cognitive impairment of children, nine 564 00:32:19,760 --> 00:32:23,280 Speaker 1: hundred and three thousand years for sleep disturbance, twenty two 565 00:32:23,320 --> 00:32:27,160 Speaker 1: thousand years for tenadis six hundred and fifty four thousand 566 00:32:27,200 --> 00:32:31,040 Speaker 1: years for annoyance. In the European Union member states, the 567 00:32:31,080 --> 00:32:34,600 Speaker 1: results indicate that at least one million healthy life years 568 00:32:34,640 --> 00:32:37,880 Speaker 1: are lost every year from traffic related noise in the 569 00:32:37,880 --> 00:32:40,720 Speaker 1: western part of Europe. Well, that's a good thing. I 570 00:32:40,760 --> 00:32:43,360 Speaker 1: turned on that white noise in the evening. That does 571 00:32:43,440 --> 00:32:45,760 Speaker 1: bring something up I want to keep thinking about throughout 572 00:32:45,760 --> 00:32:49,080 Speaker 1: this episode. Is white noise the same as silence, Like, 573 00:32:49,480 --> 00:32:53,160 Speaker 1: what really is silence? If we've established this principle where 574 00:32:53,240 --> 00:32:56,760 Speaker 1: you go into the antichotic chamber and there's silence, and 575 00:32:56,800 --> 00:33:00,040 Speaker 1: that just means that you notice your heartbeat, and you 576 00:33:00,200 --> 00:33:03,760 Speaker 1: notice the you know, the creepy scalp. You go to 577 00:33:04,720 --> 00:33:08,040 Speaker 1: a national park in Colorado and you notice planes taking 578 00:33:08,080 --> 00:33:12,800 Speaker 1: off hundreds of miles away. You're always digging deeper into 579 00:33:13,000 --> 00:33:17,040 Speaker 1: the background sound palette. And so if that's the case, 580 00:33:17,160 --> 00:33:22,760 Speaker 1: what is silence? Is there actually such an experience as silence? Well, 581 00:33:23,040 --> 00:33:26,480 Speaker 1: as far as white noise machines go, I feel like 582 00:33:26,920 --> 00:33:28,760 Speaker 1: in a way that the use of colors is kind 583 00:33:28,760 --> 00:33:32,280 Speaker 1: of telling. Now specifically, I use a brown noise. Yes, 584 00:33:32,640 --> 00:33:35,000 Speaker 1: that's my favorite setting. It's a good one. Yeah, And 585 00:33:35,040 --> 00:33:38,360 Speaker 1: it's hard not to think of it in terms of 586 00:33:38,360 --> 00:33:41,120 Speaker 1: of of say wall that was once white. So like, 587 00:33:41,160 --> 00:33:42,960 Speaker 1: all right, it's got some smears on it, it's got 588 00:33:43,000 --> 00:33:46,040 Speaker 1: some scuffs. I could try and clean it down, I 589 00:33:46,040 --> 00:33:48,880 Speaker 1: could try and go back to that that that white level. 590 00:33:48,920 --> 00:33:50,760 Speaker 1: I could try and subscribe everything away and get to 591 00:33:50,840 --> 00:33:53,960 Speaker 1: some level of silence. But I'm better off just putting 592 00:33:54,000 --> 00:33:56,360 Speaker 1: up a wall of sound and just make just painting 593 00:33:56,360 --> 00:33:58,880 Speaker 1: the wall brown. Sorry, I'm mixing my metaphors here, but 594 00:33:58,880 --> 00:34:00,520 Speaker 1: I don't know. I see what you're saying. A new 595 00:34:01,400 --> 00:34:05,680 Speaker 1: um and a new seamless sound. Uh, you know, base 596 00:34:05,800 --> 00:34:09,400 Speaker 1: level of noise that has no no variety. They're not 597 00:34:09,440 --> 00:34:13,000 Speaker 1: going to be any sudden Uh you know, goblin cackles 598 00:34:13,080 --> 00:34:15,879 Speaker 1: or anything. Yeah, quiet, predictable sound you can tune out 599 00:34:15,920 --> 00:34:19,520 Speaker 1: and register is silence. Real silence is hard to tune 600 00:34:19,520 --> 00:34:23,439 Speaker 1: out because you're constantly hearing tiny variations. Yeah, I don't 601 00:34:23,440 --> 00:34:26,600 Speaker 1: want to hear all the little noises that mightn't happen 602 00:34:26,680 --> 00:34:28,879 Speaker 1: during the night. I don't want to. I certainly don't 603 00:34:28,880 --> 00:34:31,360 Speaker 1: want to hear anything the cats up to. So I 604 00:34:31,360 --> 00:34:33,400 Speaker 1: would rather just just go ahead and put up this 605 00:34:33,480 --> 00:34:35,160 Speaker 1: wall of sound you don't want to hear. Your kind 606 00:34:35,200 --> 00:34:39,200 Speaker 1: of research on how to take your soul, it's going 607 00:34:39,280 --> 00:34:41,359 Speaker 1: through those books of the occult you got. You know, 608 00:34:41,480 --> 00:34:43,960 Speaker 1: you shouldn't have bought those, I know, especially the ones 609 00:34:44,000 --> 00:34:48,799 Speaker 1: written in cat So Robert. One of the things that 610 00:34:48,840 --> 00:34:51,440 Speaker 1: actually inspired me to do this episode was it was 611 00:34:51,480 --> 00:34:53,959 Speaker 1: an article I read from Nautilus that was a July 612 00:34:54,880 --> 00:34:57,880 Speaker 1: piece in Nautilus by Daniel A. Gross called this is 613 00:34:57,920 --> 00:35:01,160 Speaker 1: your Brain on silence and This actually turned me onto 614 00:35:01,200 --> 00:35:03,799 Speaker 1: a few more avenues of of inquiry that I want 615 00:35:03,840 --> 00:35:07,520 Speaker 1: to talk about now. So in Gross's piece he mentions 616 00:35:07,560 --> 00:35:10,000 Speaker 1: a few studies, and one of them is this two 617 00:35:10,040 --> 00:35:14,880 Speaker 1: thousand six study in the journal Heart by a scientist 618 00:35:15,000 --> 00:35:20,600 Speaker 1: named Luke Luciano Bernardi and colleagues. And it's called Cardiovascular, 619 00:35:20,719 --> 00:35:24,160 Speaker 1: cerebro vascular and Respiratory changes induced by different types of 620 00:35:24,239 --> 00:35:28,760 Speaker 1: music in musicians and non musicians. The importance of silence 621 00:35:28,880 --> 00:35:32,200 Speaker 1: long name, But the interesting takeaway from this is that 622 00:35:32,239 --> 00:35:36,280 Speaker 1: they were intending to study physiological effects of different types 623 00:35:36,320 --> 00:35:39,000 Speaker 1: of music. This sounds like pretty standard research, right. So 624 00:35:39,000 --> 00:35:41,279 Speaker 1: they hook you up to some machines and they want 625 00:35:41,320 --> 00:35:43,840 Speaker 1: to play I don't know exactly what different music they played, 626 00:35:43,880 --> 00:35:47,080 Speaker 1: probably some probably some metal, probably some classical. They played 627 00:35:47,360 --> 00:35:52,279 Speaker 1: exciting music, arousing music, relaxing music, and they measured things 628 00:35:52,320 --> 00:35:55,880 Speaker 1: about your body respirations, is stelic blood pressure, circulation in 629 00:35:55,920 --> 00:35:58,600 Speaker 1: the brain, and they were trying to figure out, you know, 630 00:35:58,719 --> 00:36:01,480 Speaker 1: do different types of music change these things? Now, of 631 00:36:01,520 --> 00:36:04,000 Speaker 1: course they did. Different types of music did indeed lead 632 00:36:04,040 --> 00:36:07,759 Speaker 1: to different states of arousal and cause physiological changes. But 633 00:36:08,239 --> 00:36:12,359 Speaker 1: Bernardi and colleagues found that the most drastic changes and 634 00:36:12,400 --> 00:36:17,279 Speaker 1: the most interesting changes happened when random two minute intervals 635 00:36:17,320 --> 00:36:21,080 Speaker 1: of silence were introduced as a control to the tests. 636 00:36:21,120 --> 00:36:25,040 Speaker 1: So these periods of silence had a physiologically measurable effect 637 00:36:25,040 --> 00:36:30,040 Speaker 1: of calming and relaxation, more so than the relaxing, calming 638 00:36:30,200 --> 00:36:33,440 Speaker 1: music that they were attempting to test. So this is 639 00:36:33,520 --> 00:36:35,400 Speaker 1: kind of like if you went to a fancy restaurant 640 00:36:35,440 --> 00:36:38,279 Speaker 1: or a wine tasting and the best part of your 641 00:36:38,320 --> 00:36:42,120 Speaker 1: experience was the palate cleanser between courses, you know, the 642 00:36:42,200 --> 00:36:45,120 Speaker 1: crackers or the sorbet or whatever. Is that that actually 643 00:36:45,120 --> 00:36:47,759 Speaker 1: does more for you than anything else. It's like that 644 00:36:47,840 --> 00:36:51,320 Speaker 1: wonderful scene in Putti tang Um Yes, which which I 645 00:36:51,840 --> 00:36:54,200 Speaker 1: always have enjoyed as I think it's I think it's 646 00:36:54,200 --> 00:36:57,000 Speaker 1: a fine movie. It's a great science fiction film. But 647 00:36:57,080 --> 00:37:00,320 Speaker 1: there's a scene where we're Putty tang the the the 648 00:37:00,600 --> 00:37:05,279 Speaker 1: the title character, who is himself an accomplished musician and 649 00:37:05,640 --> 00:37:10,160 Speaker 1: just sort of cultural phenomenon um. He goes around winner. Yeah, 650 00:37:10,200 --> 00:37:12,080 Speaker 1: it's all around Winner. He goes in and he's gonna 651 00:37:12,120 --> 00:37:13,960 Speaker 1: cut this new track. He's gonna drop this new track, 652 00:37:14,280 --> 00:37:17,359 Speaker 1: and he gets the the sound engineer to just bring 653 00:37:17,400 --> 00:37:20,959 Speaker 1: all the levels down, and he passionately performs a track 654 00:37:21,000 --> 00:37:25,720 Speaker 1: of pure silence and and it becomes a sensation. And 655 00:37:25,760 --> 00:37:27,600 Speaker 1: I think it's kind of a beautiful idea that it's 656 00:37:27,600 --> 00:37:29,520 Speaker 1: like in this in in an in an age where 657 00:37:29,560 --> 00:37:32,040 Speaker 1: like it's all about like the noise that the music, 658 00:37:32,200 --> 00:37:35,759 Speaker 1: the constant music on top of all book sounds around us. 659 00:37:35,800 --> 00:37:40,160 Speaker 1: That an actual silence, some force meditation it maybe even 660 00:37:40,160 --> 00:37:43,920 Speaker 1: like essentially a two minute interval of silence enforced on 661 00:37:44,000 --> 00:37:47,400 Speaker 1: everyone would have a profound impact. Well, yeah, it's Putti 662 00:37:47,480 --> 00:37:51,200 Speaker 1: Tang spin on the the original work of the composer 663 00:37:51,280 --> 00:37:54,719 Speaker 1: John Cage, Right, So John Cage would do these experimental 664 00:37:54,920 --> 00:37:57,080 Speaker 1: music things where you know, it might be just like 665 00:37:57,239 --> 00:38:00,960 Speaker 1: random turned on radios or complete silence or something like that. 666 00:38:01,760 --> 00:38:04,880 Speaker 1: And it's it's easy to make jokes about that. You know, 667 00:38:05,160 --> 00:38:07,680 Speaker 1: you go to a classical music concert and sit there 668 00:38:07,680 --> 00:38:10,000 Speaker 1: while a pianist sits in front of a piano and 669 00:38:10,040 --> 00:38:15,080 Speaker 1: she doesn't play anything. That that's funny, but it's also yeah, 670 00:38:15,360 --> 00:38:18,480 Speaker 1: I can see the artistic merit in that causing people 671 00:38:18,480 --> 00:38:21,040 Speaker 1: to notice other sounds in the room, to notice what 672 00:38:21,120 --> 00:38:24,360 Speaker 1: the experience of listening is like by not having anything 673 00:38:24,400 --> 00:38:27,560 Speaker 1: to listen to. But again it's also easy to make 674 00:38:27,600 --> 00:38:32,680 Speaker 1: fun of. But another interesting fact here about the study, 675 00:38:32,880 --> 00:38:35,520 Speaker 1: so found these periods of silence more relaxing than the 676 00:38:35,560 --> 00:38:38,799 Speaker 1: relaxing music. The relaxing effect of the silence was more 677 00:38:38,880 --> 00:38:41,960 Speaker 1: pronounced in these short intervals between music than it was 678 00:38:42,040 --> 00:38:45,520 Speaker 1: in a long period of silence before the test started. So, 679 00:38:45,600 --> 00:38:49,080 Speaker 1: in other words, the most profound effect of silence seemed 680 00:38:49,080 --> 00:38:51,840 Speaker 1: to be when it occurred in contrast, And this is 681 00:38:51,880 --> 00:38:55,120 Speaker 1: a quote from Gross's article that that is quoting Bernardi 682 00:38:55,280 --> 00:38:58,200 Speaker 1: that the author of the study gives to the author 683 00:38:58,200 --> 00:39:01,480 Speaker 1: of the article quote, perhaps the arousal is something that 684 00:39:01,560 --> 00:39:04,799 Speaker 1: concentrates the mind in one direction, so that when there's 685 00:39:04,920 --> 00:39:10,319 Speaker 1: nothing more arousing, then you have deeper relaxation, so you're 686 00:39:10,360 --> 00:39:13,640 Speaker 1: focused on something and then you take a break, which 687 00:39:13,680 --> 00:39:19,040 Speaker 1: is much more relaxing than doing nothing in the first place. Well, certainly, 688 00:39:19,080 --> 00:39:21,399 Speaker 1: I can think. I don't know how closely related this is, 689 00:39:21,440 --> 00:39:25,560 Speaker 1: but you can think of of moments in modern music 690 00:39:25,719 --> 00:39:28,600 Speaker 1: and older music where you have that that full stop. 691 00:39:29,239 --> 00:39:32,080 Speaker 1: Everything goes silent for a second and then the sound 692 00:39:32,160 --> 00:39:34,960 Speaker 1: comes back before they drop the drop, right, Yeah, like 693 00:39:35,080 --> 00:39:38,960 Speaker 1: the drop that the dub step drop or even of course, um, 694 00:39:39,040 --> 00:39:42,680 Speaker 1: what was it that the Beatles song with the famous drop. 695 00:39:44,080 --> 00:39:46,880 Speaker 1: I'm not sure which day in the life, right is 696 00:39:46,880 --> 00:39:49,040 Speaker 1: that the one? Oh? I know what that song, but 697 00:39:49,080 --> 00:39:52,319 Speaker 1: I can't remember if there's a drop in it where 698 00:39:52,320 --> 00:39:55,680 Speaker 1: there's like everything gets very loud and then suddenly just 699 00:39:55,800 --> 00:40:00,600 Speaker 1: like in silence. Our Beatles fans will have to when 700 00:40:00,600 --> 00:40:03,360 Speaker 1: if I'm wrong, But but certainly their example of this 701 00:40:03,640 --> 00:40:08,080 Speaker 1: throughout music the drop totally well, I mean it does 702 00:40:08,160 --> 00:40:10,920 Speaker 1: focus the mind. The rests are as important as the beats. 703 00:40:11,600 --> 00:40:14,320 Speaker 1: But of course the finding that the brain responds mainly 704 00:40:14,360 --> 00:40:18,760 Speaker 1: to contrast and change is borne out by other research 705 00:40:18,800 --> 00:40:21,880 Speaker 1: research in mice. So here's one interesting one that is 706 00:40:21,960 --> 00:40:25,480 Speaker 1: also cited in the Nautilus piece. Back in two thousand 707 00:40:25,560 --> 00:40:28,480 Speaker 1: ten at the University of Oregon, there was this interesting 708 00:40:28,520 --> 00:40:32,600 Speaker 1: finding about how the brain reacts to silence. So the 709 00:40:32,640 --> 00:40:35,920 Speaker 1: interesting fact is that the brain processes silence is a 710 00:40:36,000 --> 00:40:39,920 Speaker 1: distinct type of input apart from sound. Remember we were 711 00:40:39,920 --> 00:40:43,040 Speaker 1: talking about silence as a substance, so the brain sees 712 00:40:43,040 --> 00:40:45,520 Speaker 1: it as such too. Yeah, the brain very much treats 713 00:40:45,560 --> 00:40:48,840 Speaker 1: silence as a substance rather than just the absence of noise. 714 00:40:49,040 --> 00:40:52,680 Speaker 1: So the researchers monitored the brains of rats exposed to 715 00:40:52,760 --> 00:40:55,759 Speaker 1: bursts of sound and charted the brain activity for wind 716 00:40:55,800 --> 00:40:59,080 Speaker 1: sounds began and when sounds ended. And what they found 717 00:40:59,200 --> 00:41:04,640 Speaker 1: was that acts used to completely separate synaptic pathways for 718 00:41:04,719 --> 00:41:08,040 Speaker 1: processing these types of sensation. So you hear a new sound, 719 00:41:08,120 --> 00:41:11,920 Speaker 1: sound comes on, the brain does one thing, sound goes 720 00:41:12,000 --> 00:41:15,279 Speaker 1: off the brains goes a completely different synaptic route to 721 00:41:15,280 --> 00:41:18,480 Speaker 1: the auditory cortex. Something that it's it's doing a different 722 00:41:18,560 --> 00:41:22,560 Speaker 1: kind of processing. And the first thing to notice is, 723 00:41:22,600 --> 00:41:25,120 Speaker 1: of course this is necessary for the understanding of speech. 724 00:41:25,880 --> 00:41:28,520 Speaker 1: When you're listening to somebody talk, how do you tell 725 00:41:28,560 --> 00:41:32,200 Speaker 1: when one word ends and another begins? In spoken communication? 726 00:41:32,280 --> 00:41:35,120 Speaker 1: You have to hear the spaces, and that's not so 727 00:41:35,160 --> 00:41:37,440 Speaker 1: easy to do. It's not easy to get computers to 728 00:41:37,480 --> 00:41:40,719 Speaker 1: do this right, because certainly, if you hear yourself talk, 729 00:41:40,760 --> 00:41:44,360 Speaker 1: you hear other people talk uh to varying degrees depending 730 00:41:44,400 --> 00:41:46,680 Speaker 1: on who's doing the during the talking. Yeah, though, the 731 00:41:46,719 --> 00:41:52,040 Speaker 1: spaces between the words become almost microscopic. Yeah. And then 732 00:41:52,040 --> 00:41:55,360 Speaker 1: of course this is also a survival mechanism. Have you 733 00:41:55,400 --> 00:41:58,640 Speaker 1: ever thought about how unnerving it is to hear a 734 00:41:58,640 --> 00:42:07,840 Speaker 1: sudden silence yes, I have Joe, So yeah, Fear is 735 00:42:07,880 --> 00:42:11,560 Speaker 1: an adaptive mechanism, right. It triggers these survival behaviors. You've 736 00:42:11,600 --> 00:42:15,359 Speaker 1: got a robot assassin coming at you, it's turning on 737 00:42:15,400 --> 00:42:18,560 Speaker 1: its mini gun, wearing up and uh, and it triggers 738 00:42:18,600 --> 00:42:22,280 Speaker 1: these survival behaviors. In dangerous situations, you've got an impulse 739 00:42:22,320 --> 00:42:25,800 Speaker 1: to freeze and be quiet, or the body prepares itself 740 00:42:25,840 --> 00:42:29,439 Speaker 1: to flee or or to fight for survival. Though I mean, 741 00:42:29,480 --> 00:42:31,279 Speaker 1: if it's the robot with a mini gun, you don't 742 00:42:31,280 --> 00:42:34,000 Speaker 1: have much of a good chance. But so, how do 743 00:42:34,120 --> 00:42:39,560 Speaker 1: animals know when to be afraid? Well, decent question, and 744 00:42:39,640 --> 00:42:43,960 Speaker 1: certainly one clue is if something has alerted other animals 745 00:42:43,960 --> 00:42:45,920 Speaker 1: in their presence, right that if something has caused a 746 00:42:46,040 --> 00:42:51,320 Speaker 1: quiet to spread amongst the surrounding organism. Right. And the 747 00:42:51,440 --> 00:42:54,440 Speaker 1: question is is that sort of a universal language, an 748 00:42:54,440 --> 00:42:57,799 Speaker 1: instinctual universal language among animals, And it looks like it 749 00:42:57,880 --> 00:43:00,359 Speaker 1: might be so. One way, of course, and most can 750 00:43:00,400 --> 00:43:03,680 Speaker 1: be afraid is learned fear associations. If every time you 751 00:43:03,719 --> 00:43:06,520 Speaker 1: go to the red food bowl it shocks you, you're 752 00:43:06,560 --> 00:43:08,680 Speaker 1: going to be afraid of the red food bowl. There's 753 00:43:08,719 --> 00:43:13,440 Speaker 1: also instinctual, species specific triggers of fear like audible alarm 754 00:43:13,560 --> 00:43:17,399 Speaker 1: calls or pheromones. But there was a study in two 755 00:43:17,440 --> 00:43:21,520 Speaker 1: thousand twelve in Current Biology called silence resulting from the 756 00:43:21,560 --> 00:43:25,600 Speaker 1: cessation of movement signals danger. And what this study found 757 00:43:25,680 --> 00:43:29,839 Speaker 1: is that the other animal fear trigger is silence, specifically 758 00:43:30,160 --> 00:43:33,680 Speaker 1: the sudden cessation of the sound of movement. You hear walking, 759 00:43:33,800 --> 00:43:36,880 Speaker 1: talking here, moving along through the brush. When whenever that 760 00:43:36,920 --> 00:43:42,200 Speaker 1: goes quiet, animals instinctively become afraid. They know something's wrong. Uh. 761 00:43:42,239 --> 00:43:45,120 Speaker 1: And the author's right in their abstract quote as freezing 762 00:43:45,239 --> 00:43:49,000 Speaker 1: is a pervasive fear response in animals. Silence may constitute 763 00:43:49,000 --> 00:43:53,280 Speaker 1: a truly public queue used by a variety of animals 764 00:43:53,320 --> 00:43:56,880 Speaker 1: in the ecosystem to detect impending danger. So this is 765 00:43:56,920 --> 00:44:00,839 Speaker 1: interesting that it becomes across species language like you're you're not. 766 00:44:01,000 --> 00:44:03,960 Speaker 1: You don't have to listen to your own uh, cod 767 00:44:04,040 --> 00:44:07,040 Speaker 1: species you know calling out, be careful when you hear 768 00:44:07,120 --> 00:44:11,640 Speaker 1: the birds becoming quiet, you know something's up, even if 769 00:44:11,719 --> 00:44:16,040 Speaker 1: you are an escaped monkey from a from a lab, 770 00:44:16,520 --> 00:44:20,799 Speaker 1: even if you are even if you're a wolverine. But 771 00:44:20,880 --> 00:44:23,160 Speaker 1: then to come back on the other side, there is 772 00:44:23,200 --> 00:44:27,000 Speaker 1: another biological role that silence seems to play and it's 773 00:44:27,040 --> 00:44:32,400 Speaker 1: a positive nurturing one toward brain development. So there's study 774 00:44:32,480 --> 00:44:36,880 Speaker 1: by im Key Kirsty in brain structure and function called 775 00:44:37,080 --> 00:44:40,840 Speaker 1: is silence golden effects of auditory stimuli and their absence 776 00:44:40,880 --> 00:44:45,440 Speaker 1: on adult hippocamp ll neurogenesis. So this essentially linked silence 777 00:44:45,640 --> 00:44:50,080 Speaker 1: to brain development. And they tested four different sound conditions, 778 00:44:51,160 --> 00:44:53,880 Speaker 1: which was so they had some mice and they tested 779 00:44:54,360 --> 00:44:57,920 Speaker 1: standard background noise and an animal testing facility that sounds 780 00:44:57,960 --> 00:45:00,640 Speaker 1: like a really pleasant noise. Uh. But then they also 781 00:45:00,680 --> 00:45:03,879 Speaker 1: compared this to white noise that they might have gone 782 00:45:03,880 --> 00:45:06,960 Speaker 1: with brown noise, but they didn't white noise the pup 783 00:45:06,960 --> 00:45:09,839 Speaker 1: calls of mice, so you know, a little little mice 784 00:45:09,920 --> 00:45:13,839 Speaker 1: calling out for the parents and silence. And the hypothesis 785 00:45:13,880 --> 00:45:16,560 Speaker 1: going into this experiment was that the baby mouse calls, 786 00:45:16,600 --> 00:45:19,840 Speaker 1: the pup calls would stimulate the growth of new brain 787 00:45:19,920 --> 00:45:23,320 Speaker 1: cells in adults. And at first, all of the sounds 788 00:45:23,320 --> 00:45:26,600 Speaker 1: except the white noise, did seem to encourage one specific 789 00:45:26,640 --> 00:45:30,239 Speaker 1: type of brain cell growth neuro genesis in the hippocampus. 790 00:45:30,360 --> 00:45:34,839 Speaker 1: But after seven days, only silence was still associated with 791 00:45:34,880 --> 00:45:38,000 Speaker 1: this brain cell growth, and that was a total surprise. 792 00:45:39,200 --> 00:45:42,160 Speaker 1: But the author's right quote. Our results indicate that the 793 00:45:42,239 --> 00:45:46,480 Speaker 1: unnatural absence of auditory inputs, as well as spectro temporally 794 00:45:46,680 --> 00:45:52,880 Speaker 1: rich albeit ethologically irrelevant stimuli, activate precursor cells in the 795 00:45:52,920 --> 00:45:56,160 Speaker 1: case of silence, also leading to greater numbers of newborn 796 00:45:56,239 --> 00:46:01,879 Speaker 1: immature neurons, whereas ambient and unstructured background auditory stimuli do 797 00:46:01,920 --> 00:46:04,920 Speaker 1: not so. In other words, the theory is that artificial 798 00:46:05,000 --> 00:46:08,920 Speaker 1: silence presents a healthy challenge to the brain, which prompts 799 00:46:08,960 --> 00:46:13,759 Speaker 1: the brain to grow new brain cells in adaptation more 800 00:46:13,800 --> 00:46:18,240 Speaker 1: so than any of these other background noises. It's interesting 801 00:46:18,239 --> 00:46:20,560 Speaker 1: when you we need when you take that into account 802 00:46:20,560 --> 00:46:23,960 Speaker 1: thinking about our own uh Like, So you're driving along 803 00:46:24,000 --> 00:46:26,319 Speaker 1: in the car and he might think, oh, I need 804 00:46:26,360 --> 00:46:28,960 Speaker 1: something to occupy my mind. Right, so I'm gonna put 805 00:46:28,960 --> 00:46:31,239 Speaker 1: on some music and put on some podcast or what 806 00:46:31,360 --> 00:46:34,600 Speaker 1: have you. Um but really your mind is gonna be 807 00:46:34,640 --> 00:46:38,040 Speaker 1: able to occupy itself. Maybe, but again, perhaps that's part 808 00:46:38,080 --> 00:46:40,480 Speaker 1: of the problem. You want you it's going to occupy itself. 809 00:46:40,520 --> 00:46:42,759 Speaker 1: But maybe that's part of the problem. Well, it might 810 00:46:42,800 --> 00:46:47,319 Speaker 1: just occupy itself with obsession over your own mortality or 811 00:46:47,360 --> 00:46:50,359 Speaker 1: with other things that you just don't have time for. Yeah, 812 00:46:50,400 --> 00:46:54,960 Speaker 1: the basic default mode network. Right, So this really complex 813 00:46:55,040 --> 00:46:57,560 Speaker 1: picture of silence is emerging. For me, the substance of 814 00:46:57,640 --> 00:47:02,120 Speaker 1: silence is is strange because uh, it's freedom from noise. 815 00:47:02,200 --> 00:47:04,960 Speaker 1: Of course, it seems to promote relaxation, We've seen that. 816 00:47:05,400 --> 00:47:07,880 Speaker 1: But then you go into an intensely quiet room, we 817 00:47:08,000 --> 00:47:11,160 Speaker 1: become aware of deeper and deeper noises, deeper into the 818 00:47:11,239 --> 00:47:14,200 Speaker 1: quiet verse, and you start to go crazy. People lose 819 00:47:14,239 --> 00:47:17,319 Speaker 1: their minds, they can't stand it. And then periods of 820 00:47:17,320 --> 00:47:20,360 Speaker 1: silence seem to promote healthy growth of brain cells, seems 821 00:47:20,400 --> 00:47:23,400 Speaker 1: to be good for at least the brains of mice. Um. 822 00:47:23,440 --> 00:47:26,760 Speaker 1: But then the sudden silence also triggers fear and alarm. 823 00:47:26,840 --> 00:47:29,920 Speaker 1: So it seems our reactions to silence are almost as 824 00:47:29,960 --> 00:47:33,160 Speaker 1: complex as our reactions to sound itself. Which makes me 825 00:47:33,200 --> 00:47:37,319 Speaker 1: wonder is there really such a thing as silence? And 826 00:47:37,400 --> 00:47:40,200 Speaker 1: if so, what is the ideal quiet? What are we 827 00:47:40,239 --> 00:47:43,360 Speaker 1: really going for when we want some peace and quiet? 828 00:47:43,480 --> 00:47:47,799 Speaker 1: What is it we have in mind? M hm, Well, 829 00:47:48,040 --> 00:47:51,000 Speaker 1: I feel like this is um. This is a question 830 00:47:51,040 --> 00:47:56,200 Speaker 1: that is complicated by just the human experience of silence form, 831 00:47:56,239 --> 00:48:00,560 Speaker 1: you know, for for one thing, because what I'm engaging 832 00:48:00,719 --> 00:48:05,120 Speaker 1: with with actual silence. I'm also very engaging to varying 833 00:48:05,120 --> 00:48:09,600 Speaker 1: degrees with inner silence and weighing those two and then 834 00:48:10,400 --> 00:48:13,240 Speaker 1: if that's going to color my memory about how quiet 835 00:48:13,239 --> 00:48:17,160 Speaker 1: a particular setting was, you know, like if I like 836 00:48:17,200 --> 00:48:19,560 Speaker 1: I've gone places before, like when I had to think 837 00:48:19,560 --> 00:48:21,840 Speaker 1: of for this podcast, like what are the quietest places 838 00:48:21,840 --> 00:48:25,480 Speaker 1: I've been to? I can the places that come to 839 00:48:25,520 --> 00:48:30,280 Speaker 1: mind are like wilderness environments. They were not necessarily quiet. 840 00:48:30,360 --> 00:48:32,600 Speaker 1: Like one was like, um, kind of on top of 841 00:48:32,600 --> 00:48:36,960 Speaker 1: the mountain and Yosemite, and there weren't any human noises 842 00:48:37,000 --> 00:48:39,040 Speaker 1: around me other than like I think I was. I 843 00:48:39,120 --> 00:48:42,360 Speaker 1: was pretty worn out by the time I reached the top. Uh, 844 00:48:42,400 --> 00:48:46,160 Speaker 1: but you know that the wind was sweeping through, blowing 845 00:48:46,160 --> 00:48:49,040 Speaker 1: across the trees and the and the rocks. Uh that 846 00:48:49,120 --> 00:48:53,400 Speaker 1: there was a sound of loose rocks underfoot as I ascended. 847 00:48:54,880 --> 00:48:56,759 Speaker 1: But yet, you know, part of part of it was 848 00:48:56,960 --> 00:48:59,799 Speaker 1: probably physical exertion, part of it was just the you know, 849 00:49:00,400 --> 00:49:05,960 Speaker 1: an entirely new physical environment, a slightly different you know, 850 00:49:06,040 --> 00:49:12,200 Speaker 1: sound environment. Like all of that further colored my interpretation 851 00:49:12,280 --> 00:49:14,640 Speaker 1: of it as quiet. You know, So when I look 852 00:49:14,640 --> 00:49:17,319 Speaker 1: back on it now, I'm it's easy for me to say, oh, 853 00:49:17,400 --> 00:49:18,960 Speaker 1: that was one of the quietest places I've been to. 854 00:49:19,320 --> 00:49:21,560 Speaker 1: But in a way it was just loud in different ways, 855 00:49:21,920 --> 00:49:25,400 Speaker 1: both sonically and like just visually loud. I thought of 856 00:49:25,840 --> 00:49:27,839 Speaker 1: the same thing. I mean, I was able to think 857 00:49:27,880 --> 00:49:31,520 Speaker 1: of Big Bend, which was actually I think, relatively quiet. 858 00:49:31,560 --> 00:49:34,759 Speaker 1: But when I when I think of quiet places, I 859 00:49:34,800 --> 00:49:37,239 Speaker 1: just think of like nature and stuff like that. It's 860 00:49:37,280 --> 00:49:40,440 Speaker 1: not quiet at all. There's bugs everywhere. I was up 861 00:49:40,440 --> 00:49:43,960 Speaker 1: in Tennessee last weekend, sitting out on the porch one night, 862 00:49:44,640 --> 00:49:46,920 Speaker 1: and I was thinking, Man, it's so nice and quiet 863 00:49:46,920 --> 00:49:50,000 Speaker 1: out here. It was not even remotely quote. It was 864 00:49:50,160 --> 00:49:53,960 Speaker 1: incredibly loud with different like the uh. It's like a 865 00:49:54,040 --> 00:49:57,560 Speaker 1: it's like a Phil Specter wall of sound, engineered entirely 866 00:49:57,600 --> 00:50:03,600 Speaker 1: by bugs. They're filling in every single conceivable hole where 867 00:50:03,600 --> 00:50:05,920 Speaker 1: there could be a noise. They've all got their niche 868 00:50:05,920 --> 00:50:08,839 Speaker 1: and it's all there. It's like a it's like a 869 00:50:08,880 --> 00:50:11,279 Speaker 1: like a Queen metal song, you know where they it's 870 00:50:11,360 --> 00:50:15,359 Speaker 1: just a floor to ceiling. Oh yeah. I camped in 871 00:50:15,520 --> 00:50:18,920 Speaker 1: okay Finoki swamp here in Georgia several years back, went 872 00:50:18,920 --> 00:50:22,640 Speaker 1: on a canoe trip uh, and it was legitimately hard 873 00:50:22,680 --> 00:50:25,720 Speaker 1: to sleep that night because the insects were so loud 874 00:50:25,800 --> 00:50:29,400 Speaker 1: and the frogs, frogs like actually underneath the platform that 875 00:50:29,440 --> 00:50:31,200 Speaker 1: we had our tents set up on, were just so 876 00:50:31,320 --> 00:50:34,840 Speaker 1: incredibly loud. It was it was worse than trying to 877 00:50:34,880 --> 00:50:37,480 Speaker 1: sleep in a city. But but in my memory I 878 00:50:37,560 --> 00:50:41,960 Speaker 1: interpreted this as peace and quiet. Yeah. Yeah, and in 879 00:50:41,960 --> 00:50:45,040 Speaker 1: a sense it is. But it's but again that that 880 00:50:45,200 --> 00:50:48,319 Speaker 1: kind of that that's why so complicated to try and think, like, well, 881 00:50:48,320 --> 00:50:50,960 Speaker 1: what's what's my ideal level of silence, because you know what, 882 00:50:51,160 --> 00:50:54,239 Speaker 1: a doctor's waiting room can be pretty quiet. But oh 883 00:50:54,320 --> 00:50:56,560 Speaker 1: that's no good at all. Yeah, but it's not good 884 00:50:56,560 --> 00:50:58,319 Speaker 1: because you're about to go and see the doctor. Your 885 00:50:58,360 --> 00:51:01,840 Speaker 1: head is probably more a lot I've with with worry 886 00:51:01,880 --> 00:51:05,000 Speaker 1: and concerns and what ifs than uh than any other time. 887 00:51:05,320 --> 00:51:07,880 Speaker 1: I mean, I'm I wonder what it would be like 888 00:51:08,000 --> 00:51:09,960 Speaker 1: to find it soothing to sit in a silent room 889 00:51:09,960 --> 00:51:13,520 Speaker 1: and hear nothing but the sound of a pencil scraping 890 00:51:13,560 --> 00:51:18,880 Speaker 1: against paper as it describes the shape of a mole. Yeah. Um, 891 00:51:18,920 --> 00:51:21,120 Speaker 1: you know, it also makes me think of airports we mentioned, 892 00:51:21,160 --> 00:51:24,479 Speaker 1: you know earlier in um in jest. But of course 893 00:51:24,480 --> 00:51:28,879 Speaker 1: he created music for airports wonderful ambient album, and every 894 00:51:28,880 --> 00:51:30,839 Speaker 1: time I listened to it, or and or every time 895 00:51:30,880 --> 00:51:33,279 Speaker 1: I'm in an actual airport, I think, why am I 896 00:51:33,360 --> 00:51:38,239 Speaker 1: listening to CNN on several different TVs on top of 897 00:51:38,239 --> 00:51:40,840 Speaker 1: all the noise instead of music for airports? Is is 898 00:51:40,880 --> 00:51:45,240 Speaker 1: there an idea here that actually more distraction? Is is better? 899 00:51:45,280 --> 00:51:48,400 Speaker 1: Like that is the form of silence that works better 900 00:51:48,400 --> 00:51:52,000 Speaker 1: in an airport as opposed to be the the the 901 00:51:52,160 --> 00:51:55,760 Speaker 1: idea of silence, uh in the midst of ambient music. 902 00:51:56,440 --> 00:52:00,400 Speaker 1: I don't know. I don't know either. Or should we 903 00:52:00,480 --> 00:52:03,600 Speaker 1: just all have, you know, our our heads encased in 904 00:52:03,800 --> 00:52:09,640 Speaker 1: some sort of sarcophagus to enforce silence upon us? Well 905 00:52:09,680 --> 00:52:12,920 Speaker 1: that's another. Even even if you put in ear plugs 906 00:52:13,120 --> 00:52:15,000 Speaker 1: and you you know, you're very good ones, and you 907 00:52:15,000 --> 00:52:17,280 Speaker 1: don't hear what's going on around you, there is still 908 00:52:17,320 --> 00:52:19,680 Speaker 1: a sort of connected sense of touch, you know, the 909 00:52:20,200 --> 00:52:23,959 Speaker 1: vibrational energy. There's some sort of blending between our sense 910 00:52:23,960 --> 00:52:25,880 Speaker 1: of touch and our sense of hearing. Yeah, yeah, and 911 00:52:25,920 --> 00:52:29,160 Speaker 1: certainly you're still gonna receive those uh, those waves you're 912 00:52:29,160 --> 00:52:32,840 Speaker 1: certainly gonna hear with your skull uh to a large degree. 913 00:52:32,840 --> 00:52:34,600 Speaker 1: So yeah, you're not gonna be able to to to 914 00:52:34,719 --> 00:52:39,279 Speaker 1: completely silence it out. So Robert, here's something that I 915 00:52:39,440 --> 00:52:42,560 Speaker 1: read about when I was, you know, doing some browsing 916 00:52:42,560 --> 00:52:46,160 Speaker 1: on the subject of silence, the idea of enforced silence. 917 00:52:46,760 --> 00:52:48,600 Speaker 1: That's a hard thing to pull off, right, because you 918 00:52:48,600 --> 00:52:51,759 Speaker 1: can isolate somebody, you can put them in solitary, you 919 00:52:51,800 --> 00:52:54,960 Speaker 1: can go u you know, Cold War John C. Lily 920 00:52:55,160 --> 00:52:58,520 Speaker 1: and drop somebody in an isolation tank. But for the 921 00:52:58,560 --> 00:53:00,719 Speaker 1: most partly people have a right to be loud, and 922 00:53:00,800 --> 00:53:05,000 Speaker 1: people can be loud outwardly and certainly inwardly. You know, 923 00:53:05,040 --> 00:53:08,000 Speaker 1: I don't usually think of a prison as a place 924 00:53:08,080 --> 00:53:11,440 Speaker 1: that's going to be especially a refuge of peace and quiet. 925 00:53:11,920 --> 00:53:15,279 Speaker 1: But in the nineteenth century there was this regime that 926 00:53:15,320 --> 00:53:17,960 Speaker 1: I read about known as the Auburn system. It evolved 927 00:53:18,000 --> 00:53:21,840 Speaker 1: in the Auburn Prison of Auburn, New York. And the 928 00:53:21,880 --> 00:53:24,040 Speaker 1: way this worked is that you had prisoners whould go 929 00:53:24,080 --> 00:53:27,520 Speaker 1: out perform hard labor all day, and then they were 930 00:53:27,560 --> 00:53:31,480 Speaker 1: put in solitary confinement at night, with enforced silence at 931 00:53:31,480 --> 00:53:39,840 Speaker 1: all times, no talking. Well, that sounds absolutely dreadful, absolutely shredful. Well, anyway, 932 00:53:39,920 --> 00:53:42,520 Speaker 1: the idea, I guess is that you know, criminals, they 933 00:53:42,600 --> 00:53:45,600 Speaker 1: learn habits, they learn things from each other, They learn 934 00:53:45,640 --> 00:53:49,879 Speaker 1: and reinforce bad behaviors from other criminals through some sort 935 00:53:49,920 --> 00:53:54,200 Speaker 1: of perverted form of social education. But if the prisoners 936 00:53:54,239 --> 00:53:57,320 Speaker 1: can't make a sound, they can't communicate with one another 937 00:53:57,360 --> 00:54:01,759 Speaker 1: in order to reinforce and instruct. But I'm curious how, 938 00:54:02,239 --> 00:54:04,520 Speaker 1: I mean, not like I think it would be ethical 939 00:54:04,560 --> 00:54:07,840 Speaker 1: to do this in any case, But putting questions of 940 00:54:07,840 --> 00:54:11,480 Speaker 1: ethicality aside, did this work? Did people really find that 941 00:54:11,560 --> 00:54:16,440 Speaker 1: this increased penitence caused people to stop living a criminal lifestyle? 942 00:54:17,440 --> 00:54:20,520 Speaker 1: I I am almost positive that this did not. My 943 00:54:20,880 --> 00:54:23,480 Speaker 1: bet is that this did not work, though it does 944 00:54:23,560 --> 00:54:28,200 Speaker 1: sound like, you know, perfectly deplorable from you know, by 945 00:54:28,280 --> 00:54:31,759 Speaker 1: nineteenth century penal standards. I mean, I think I think 946 00:54:31,800 --> 00:54:34,719 Speaker 1: it sort of fits with the idea of you know what, 947 00:54:34,760 --> 00:54:37,280 Speaker 1: do you need? Nothing? You need? You need your Bible 948 00:54:37,400 --> 00:54:40,440 Speaker 1: and you need quiet reflection, and so they put you 949 00:54:40,480 --> 00:54:43,160 Speaker 1: in a room by yourself, no talking, read your Bible 950 00:54:44,200 --> 00:54:46,360 Speaker 1: and that's it. And I guess it was supposed to 951 00:54:46,440 --> 00:54:50,239 Speaker 1: encourage guilt, you know, guilt and remorse and feelings of 952 00:54:50,520 --> 00:54:53,399 Speaker 1: wanting to reform. But I don't know. I think when 953 00:54:53,440 --> 00:54:57,719 Speaker 1: you force people to be silent, do you also encourage 954 00:54:57,760 --> 00:55:03,879 Speaker 1: them to stew on what bothers them? Well, I yeah, 955 00:55:03,920 --> 00:55:07,719 Speaker 1: I mean it's you're not necessarily making any positive movement there. 956 00:55:07,719 --> 00:55:10,680 Speaker 1: I mean, in researching this episode, it did a lot 957 00:55:10,760 --> 00:55:15,719 Speaker 1: of searches around for silence related UM studies, and silence 958 00:55:15,840 --> 00:55:18,920 Speaker 1: can have many meanings. Of course, as we've already discussed, 959 00:55:18,920 --> 00:55:21,120 Speaker 1: one meaning we haven't really gotten into is silence in 960 00:55:21,239 --> 00:55:24,880 Speaker 1: terms of not talking about your problems, not talking about 961 00:55:24,920 --> 00:55:27,239 Speaker 1: what's botting, You're not talking about an issue. Well, that's 962 00:55:27,239 --> 00:55:30,040 Speaker 1: another You've done an episode of this show before. It 963 00:55:30,160 --> 00:55:33,160 Speaker 1: was also several years ago in the Spiral Silence, which 964 00:55:33,239 --> 00:55:36,400 Speaker 1: is not not so much about sound but just about 965 00:55:36,480 --> 00:55:40,879 Speaker 1: not speaking up, And yeah, that that becomes an echo 966 00:55:41,040 --> 00:55:44,600 Speaker 1: chamber of its own. Um. But I mean on top 967 00:55:44,640 --> 00:55:48,280 Speaker 1: of that, of course, the all of the research indicates 968 00:55:48,320 --> 00:55:52,319 Speaker 1: that solitary confinement is just a brutal tactic to use 969 00:55:52,360 --> 00:55:55,480 Speaker 1: against anybody. So I think it is it is now 970 00:55:55,600 --> 00:55:58,600 Speaker 1: coming to be considered a form of torture, so I'd 971 00:55:58,600 --> 00:56:00,640 Speaker 1: be willing to look into it more. But I my 972 00:56:00,640 --> 00:56:04,680 Speaker 1: my firm suspicion is that this uh, this prison experiment 973 00:56:04,800 --> 00:56:07,520 Speaker 1: like so like pretty much anything you call a prison 974 00:56:07,560 --> 00:56:13,480 Speaker 1: experience probably did not have great, great outcome. Now, of course, 975 00:56:13,960 --> 00:56:17,480 Speaker 1: that's when silence is imposed upon you, inflicted upon you. 976 00:56:17,560 --> 00:56:20,480 Speaker 1: But but certainly they're there are plenty of models for 977 00:56:21,160 --> 00:56:25,520 Speaker 1: embracing silence, taking on vows of silence, certainly. Uh. There 978 00:56:25,600 --> 00:56:29,160 Speaker 1: a number of monastic traditions and the Catholic tradition that 979 00:56:29,200 --> 00:56:32,440 Speaker 1: come to mind. Uh. It Also, silence also plays a 980 00:56:32,520 --> 00:56:37,120 Speaker 1: role in Hindu philosophy, where it is uh mauna. Also, 981 00:56:37,600 --> 00:56:41,640 Speaker 1: even the Greek philosopher of Pythagoras of Samos imposed a 982 00:56:41,719 --> 00:56:45,560 Speaker 1: rule of silence on his uh disciples of Pythagora, in 983 00:56:45,680 --> 00:56:49,200 Speaker 1: silence stints of five years or more, even to prove 984 00:56:49,239 --> 00:56:53,279 Speaker 1: your commitment. Apparently the music of the spheres you can't 985 00:56:53,320 --> 00:56:56,120 Speaker 1: hear it unless you stop talking. Yeah, And then of 986 00:56:56,160 --> 00:56:59,200 Speaker 1: course there's the whole issue of silence. Uh in the world, 987 00:56:59,280 --> 00:57:03,280 Speaker 1: place silence in study, you know here at how stuff works. 988 00:57:03,840 --> 00:57:08,000 Speaker 1: Over over the years, I've seen I've seen this this transformation. 989 00:57:08,400 --> 00:57:11,080 Speaker 1: So like when I first started here, like eight or 990 00:57:11,120 --> 00:57:13,040 Speaker 1: nine years ago, we had these bid and you were 991 00:57:13,040 --> 00:57:16,560 Speaker 1: here at at the time we have these big but 992 00:57:17,080 --> 00:57:19,000 Speaker 1: six years yeah, it was still in the same office. 993 00:57:19,280 --> 00:57:22,360 Speaker 1: So it was like sort of big three sided cubicles, 994 00:57:22,440 --> 00:57:26,919 Speaker 1: really spacious. Uh. You felt like a monk in um 995 00:57:27,920 --> 00:57:29,880 Speaker 1: in the library at times. You know, you're able to 996 00:57:29,920 --> 00:57:32,120 Speaker 1: get your materials, you have your computer, and you were 997 00:57:32,160 --> 00:57:34,880 Speaker 1: working away on your on your own. There were days 998 00:57:35,240 --> 00:57:38,640 Speaker 1: where you didn't you didn't necessarily see anybody that was 999 00:57:38,680 --> 00:57:41,920 Speaker 1: seated on an opposite row from you. And uh, We've 1000 00:57:41,920 --> 00:57:44,040 Speaker 1: had a couple of different offices since then, and things 1001 00:57:44,040 --> 00:57:47,080 Speaker 1: have gotten more open office, as is the trend right 1002 00:57:47,480 --> 00:57:50,920 Speaker 1: where the ideas that oh, we're gonna treat treat everything 1003 00:57:50,960 --> 00:57:54,280 Speaker 1: like it's a newsroom, treat everything, uh in a way 1004 00:57:54,320 --> 00:57:56,840 Speaker 1: so that we're inspiring all sorts of uh, you know, 1005 00:57:57,200 --> 00:58:01,200 Speaker 1: vital and imaginative, creative energy. Easel will just free flow 1006 00:58:01,240 --> 00:58:04,360 Speaker 1: and ricochet around the office. Man, there is nothing more 1007 00:58:04,400 --> 00:58:10,360 Speaker 1: inspiring than overhearing somebody else's work conversation. Yeah, um, you know. 1008 00:58:10,440 --> 00:58:14,919 Speaker 1: And I feel like there are there are professions where 1009 00:58:14,920 --> 00:58:18,480 Speaker 1: an opus opened an office environment work better their individuals 1010 00:58:18,520 --> 00:58:21,600 Speaker 1: for whom it works better. Um. I think the problem 1011 00:58:21,640 --> 00:58:24,520 Speaker 1: is always we need try applying any kind of one 1012 00:58:24,560 --> 00:58:29,040 Speaker 1: size fits all um plan to a workforce. Well, it 1013 00:58:29,040 --> 00:58:31,880 Speaker 1: seems to me from what I've read, everything is open office. 1014 00:58:31,920 --> 00:58:35,479 Speaker 1: Now it's what everybody does. I'm not quite sure why 1015 00:58:35,560 --> 00:58:38,560 Speaker 1: that trend has caught on, but but it's not just 1016 00:58:38,840 --> 00:58:41,400 Speaker 1: it's not just here in the work world. I mean 1017 00:58:41,400 --> 00:58:44,080 Speaker 1: you also see it out in the world of scientific research. 1018 00:58:44,160 --> 00:58:47,160 Speaker 1: In fact, there there have been some papers in recent 1019 00:58:47,200 --> 00:58:49,320 Speaker 1: years so they've brought this up saying that, hey, we 1020 00:58:49,400 --> 00:58:53,840 Speaker 1: have too much enforced interaction in science. Um. In fact, 1021 00:58:54,080 --> 00:58:57,440 Speaker 1: Peter Higgs has stated that the Higgs Boson of the 1022 00:58:57,520 --> 00:59:00,160 Speaker 1: Higgs Boson has stated that the piece and quiet at 1023 00:59:00,600 --> 00:59:03,840 Speaker 1: that he was afforded in the nineteen sixties, which resulted 1024 00:59:03,880 --> 00:59:07,200 Speaker 1: in his Nobel Prize winning work, is no longer possible, 1025 00:59:08,000 --> 00:59:09,480 Speaker 1: you know. So you have you have a number of 1026 00:59:09,520 --> 00:59:12,200 Speaker 1: scientists over the years who have really been um the 1027 00:59:12,240 --> 00:59:17,560 Speaker 1: proponents of silence. Newton, Einstein, just just to name a 1028 00:59:17,640 --> 00:59:21,040 Speaker 1: few here. They've all prized silence and isolation. And if 1029 00:59:21,040 --> 00:59:24,600 Speaker 1: they were working today, would they have it? And if 1030 00:59:24,640 --> 00:59:26,480 Speaker 1: they didn't have it, would they have been able to 1031 00:59:26,920 --> 00:59:30,320 Speaker 1: achieve the ends that they that they achieved in their lives. Well, 1032 00:59:30,360 --> 00:59:32,640 Speaker 1: not to mention how much they'd be required to tweet 1033 00:59:32,640 --> 00:59:36,880 Speaker 1: about their ongoing research and upcoming conferences. I'll do that. 1034 00:59:36,960 --> 00:59:40,840 Speaker 1: Facebook live. Make sure Newton that you do your Facebook life. 1035 00:59:40,880 --> 00:59:43,960 Speaker 1: You gotta understand you're gonna do something with an apple. Um, 1036 00:59:44,000 --> 00:59:46,240 Speaker 1: whether you have a dog, door something. Let's get some 1037 00:59:46,360 --> 00:59:50,000 Speaker 1: let's point some some cameras at that. Facebook wants to 1038 00:59:50,040 --> 00:59:55,360 Speaker 1: know what is this? Yes? Why am I seeing this? Who? 1039 00:59:55,440 --> 00:59:59,439 Speaker 1: Who are you? Uh? Well, it's the world. It's the world. 1040 00:59:59,480 --> 01:00:01,400 Speaker 1: We have the world we have to deal with. Uh, 1041 01:00:01,760 --> 01:00:04,040 Speaker 1: and we'll we'll find a way to work through the noise. 1042 01:00:04,080 --> 01:00:07,320 Speaker 1: I mean that's the scenario at any point, right right, No, 1043 01:00:07,320 --> 01:00:09,760 Speaker 1: no matter how noise do you think the world is. 1044 01:00:09,960 --> 01:00:13,040 Speaker 1: No matter how quiet a slice you've carved out for yourself, 1045 01:00:13,320 --> 01:00:15,320 Speaker 1: you're still going to have to work through the noise. Well, 1046 01:00:15,360 --> 01:00:17,680 Speaker 1: I mean that brings us back to the to the question. 1047 01:00:17,720 --> 01:00:20,520 Speaker 1: I guess the core questions substance of silence? What is it? 1048 01:00:20,600 --> 01:00:24,680 Speaker 1: And why is some silence desirable but other silence is not? 1049 01:00:25,640 --> 01:00:29,960 Speaker 1: So you might put in this loud white noise track 1050 01:00:30,600 --> 01:00:34,440 Speaker 1: at work in order to get some quiet from the 1051 01:00:34,480 --> 01:00:38,040 Speaker 1: conversations that are going on around you. So you're increasing 1052 01:00:38,080 --> 01:00:40,640 Speaker 1: the volume in order to get some peace and quiet. 1053 01:00:41,640 --> 01:00:45,520 Speaker 1: The signals again that that is clearly about something about 1054 01:00:45,560 --> 01:00:48,840 Speaker 1: the the introduction and novelty of sound rather than the 1055 01:00:48,920 --> 01:00:52,320 Speaker 1: volume of sound. I guess I'd be tempted to think 1056 01:00:52,320 --> 01:00:55,880 Speaker 1: of it as oxygen, you know, and like I might 1057 01:00:55,920 --> 01:00:57,960 Speaker 1: want to take a breath of pure oxygen every now 1058 01:00:58,000 --> 01:01:00,280 Speaker 1: and then, but I don't know, for fun, just for fun. 1059 01:01:00,360 --> 01:01:02,920 Speaker 1: But I don't want to necessarily live in an environment 1060 01:01:02,960 --> 01:01:06,320 Speaker 1: of pure oxygen and breathe it all the time. That 1061 01:01:06,760 --> 01:01:09,520 Speaker 1: would kill you. But but but every now and then 1062 01:01:09,520 --> 01:01:14,240 Speaker 1: I'll sleep in my specialized oxygen tent. Uh and uh, 1063 01:01:14,240 --> 01:01:17,440 Speaker 1: and it will revitalize me. But hey, that's uh, that's 1064 01:01:17,440 --> 01:01:20,160 Speaker 1: our take on the topic. We we put it to you, though, 1065 01:01:20,400 --> 01:01:24,720 Speaker 1: what is the quietest place you have ever found yourself in? 1066 01:01:24,800 --> 01:01:27,120 Speaker 1: What what's the quietest place you've visited? What is the 1067 01:01:27,240 --> 01:01:30,160 Speaker 1: quietest place you have created for yourself in your own life? 1068 01:01:30,360 --> 01:01:32,600 Speaker 1: And I guess the question is a dual question, right, 1069 01:01:32,640 --> 01:01:35,320 Speaker 1: what's the place that has felt the most quiet to you, 1070 01:01:35,440 --> 01:01:40,360 Speaker 1: like the ideal mind silence versus what's actually the lowest 1071 01:01:40,440 --> 01:01:44,640 Speaker 1: number of ambient decibels? Be very interested to hear, Hey, 1072 01:01:44,640 --> 01:01:47,040 Speaker 1: maybe you've even been to one of these, uh, these 1073 01:01:47,120 --> 01:01:50,680 Speaker 1: soundless chambers that we've created in the world. I want 1074 01:01:50,680 --> 01:01:52,400 Speaker 1: to hear from the people, and I know they've got 1075 01:01:52,400 --> 01:01:53,920 Speaker 1: to be out there, the people who went in one 1076 01:01:53,960 --> 01:01:56,400 Speaker 1: and did not get all freaked out, because I'm sure 1077 01:01:56,480 --> 01:01:58,840 Speaker 1: there are some people. I'm sure we hear about the 1078 01:01:58,840 --> 01:02:01,160 Speaker 1: ones that get freaked out. Have you been to one 1079 01:02:01,160 --> 01:02:03,520 Speaker 1: of these things and didn't really bother you? I want 1080 01:02:03,520 --> 01:02:05,760 Speaker 1: to hear about that. I mean, there are people who 1081 01:02:06,720 --> 01:02:10,040 Speaker 1: who are noisy enough and or make enough noises just 1082 01:02:10,120 --> 01:02:12,720 Speaker 1: moving around, uh that I think they would they would 1083 01:02:12,760 --> 01:02:14,960 Speaker 1: fare just fine, like they would never notice. They're just 1084 01:02:15,120 --> 01:02:17,760 Speaker 1: if you're just sitting there like groaning to yourself and 1085 01:02:18,320 --> 01:02:21,680 Speaker 1: cracking your knuckles and talking to yourself and groaning some 1086 01:02:21,760 --> 01:02:23,760 Speaker 1: more than you know, you're probably not gonna notice the 1087 01:02:23,800 --> 01:02:30,160 Speaker 1: desk about how we'll show all them, show all there 1088 01:02:30,160 --> 01:02:35,280 Speaker 1: griping about your office environment all that. Let's stop being grumpy, Robert. 1089 01:02:35,320 --> 01:02:37,000 Speaker 1: How can they get in touch with us? Oh? Hey, 1090 01:02:37,040 --> 01:02:39,440 Speaker 1: before we do that, we should also mention that this 1091 01:02:39,480 --> 01:02:42,040 Speaker 1: week we are going to be in New York. That's right, 1092 01:02:42,400 --> 01:02:45,120 Speaker 1: if you were in New York, specifically, if you were 1093 01:02:45,160 --> 01:02:50,360 Speaker 1: attending the The Star Trek Mission New York uh Con 1094 01:02:51,120 --> 01:02:53,760 Speaker 1: in New York City, then you should you should check 1095 01:02:53,800 --> 01:02:55,360 Speaker 1: us out. We're gonna be there, We're gonna be doing 1096 01:02:55,360 --> 01:02:57,960 Speaker 1: a presentation. It's gonna be Star Treky, it's gonna be science, 1097 01:02:58,120 --> 01:02:59,840 Speaker 1: it's gonna be a little cosmic, it's gonna be a 1098 01:03:00,000 --> 01:03:04,040 Speaker 1: will uh psychological. Yeah. So the conference goes from September 1099 01:03:04,080 --> 01:03:06,520 Speaker 1: two to September four. If if you're gonna be there, 1100 01:03:06,560 --> 01:03:10,080 Speaker 1: our panel will be on Friday afternoon in the early afternoon, 1101 01:03:10,560 --> 01:03:13,240 Speaker 1: and you can look us up in the conference materials. 1102 01:03:13,240 --> 01:03:16,480 Speaker 1: But yeah, so if if you're around, come say hi, yeah, yeah, 1103 01:03:16,560 --> 01:03:18,120 Speaker 1: come here what we have to say, and then uh 1104 01:03:18,360 --> 01:03:21,560 Speaker 1: have a little chat with us afterwards. And in the meantime, 1105 01:03:22,080 --> 01:03:23,880 Speaker 1: head on over to stuff to Blow your Mind dot com. 1106 01:03:23,920 --> 01:03:26,560 Speaker 1: That's where you'll find all of the podcast, the videos, 1107 01:03:26,680 --> 01:03:29,800 Speaker 1: blog post links out to our various social media accounts, 1108 01:03:30,160 --> 01:03:33,040 Speaker 1: uh and that Facebook account Blow the Mind. You will 1109 01:03:33,160 --> 01:03:37,560 Speaker 1: definitely find information there about the upcoming Star Trek thing. 1110 01:03:37,920 --> 01:03:39,440 Speaker 1: And if you want to get in touch with us, 1111 01:03:39,480 --> 01:03:41,880 Speaker 1: as always, you can email us and blow the mind 1112 01:03:41,960 --> 01:03:53,760 Speaker 1: at how stuff works dot com for more on this 1113 01:03:53,960 --> 01:03:56,480 Speaker 1: and thousands of other topics. Is it how stuff works 1114 01:03:56,480 --> 01:04:15,560 Speaker 1: dot com. Ayther Ynys starts four starts apart f