1 00:00:03,240 --> 00:00:06,360 Speaker 1: Welcome to Stuff to Blow your Mind somehow stuff Works 2 00:00:06,400 --> 00:00:15,080 Speaker 1: dot Com. Hey, welcome to Stuff to Blow your Mind. 3 00:00:15,080 --> 00:00:17,560 Speaker 1: My name is Robert Lamb and I'm Julie Douglas. And 4 00:00:17,600 --> 00:00:23,320 Speaker 1: since this is the Halloween season and we're talking about creepy, uncanny, scary, 5 00:00:23,440 --> 00:00:28,319 Speaker 1: frightening sonic experiences, let's kick this episode off with just 6 00:00:28,640 --> 00:00:45,920 Speaker 1: a little bit of the uncanny from the Weirding Module. Oh, 7 00:00:53,680 --> 00:00:57,080 Speaker 1: we should talk about this weird module. Yes, yeah, just yeah, 8 00:00:57,160 --> 00:00:58,800 Speaker 1: real quick, this is the Weirding Module. This is a 9 00:00:58,840 --> 00:01:02,720 Speaker 1: solo project from musician Christopher Gladwin. Uh some of you 10 00:01:02,760 --> 00:01:05,440 Speaker 1: may name him. Is one half of Team do Yobi 11 00:01:06,200 --> 00:01:09,679 Speaker 1: and very accomplished musician has hands in into a number 12 00:01:09,680 --> 00:01:13,240 Speaker 1: of different projects, but this one is all about the uncanny, 13 00:01:13,319 --> 00:01:18,800 Speaker 1: about times, the frightening, the unsettling. This particular track was 14 00:01:18,920 --> 00:01:23,840 Speaker 1: titled Chapter one, Abysmal Cathedrals Arise from mel flurious I 15 00:01:23,959 --> 00:01:27,399 Speaker 1: Corps from some less Regions. And right there, that gives 16 00:01:27,400 --> 00:01:29,440 Speaker 1: you a clue. Yeah, it gives you a clue. And 17 00:01:29,600 --> 00:01:32,160 Speaker 1: uh and if you recognize the tune, and that's because 18 00:01:32,360 --> 00:01:38,080 Speaker 1: he's utilizing Symphony Fantastic from Hector Berlioz. And you may 19 00:01:38,120 --> 00:01:41,479 Speaker 1: also recognize it because Wendy Carlos used it in the 20 00:01:41,480 --> 00:01:45,440 Speaker 1: theme to The Shining. So what we are introducing to 21 00:01:45,480 --> 00:01:49,400 Speaker 1: you guys today is this idea that a scary movie 22 00:01:49,960 --> 00:01:53,800 Speaker 1: could perhaps be less scary or not even scary without 23 00:01:53,880 --> 00:01:56,760 Speaker 1: the sort of soundtrack that goes along with it, really 24 00:01:56,840 --> 00:02:00,919 Speaker 1: amping up our experiences while we're watching something on the screen. 25 00:02:01,480 --> 00:02:04,800 Speaker 1: And when you listen to something like the Weirding Module, 26 00:02:04,920 --> 00:02:07,680 Speaker 1: you can already start just sense that dis ease, that 27 00:02:07,680 --> 00:02:11,160 Speaker 1: that sort of decentering that that music makes you feel 28 00:02:11,200 --> 00:02:13,280 Speaker 1: with some of the chords and some of the ways 29 00:02:13,320 --> 00:02:16,519 Speaker 1: that it's arranged. Yeah, So it it raises the question, 30 00:02:16,520 --> 00:02:17,920 Speaker 1: and this is the question we're gonna explore in this 31 00:02:17,960 --> 00:02:22,960 Speaker 1: episode to what extent is there something just innately creepy, uncanny, scary, 32 00:02:23,040 --> 00:02:27,640 Speaker 1: frightening about music like this or is it all cultural? 33 00:02:27,720 --> 00:02:30,320 Speaker 1: Is it all contextual? So we're gonna unravel that. But 34 00:02:30,320 --> 00:02:33,280 Speaker 1: but first, just to to to rehash, we did an 35 00:02:33,320 --> 00:02:35,320 Speaker 1: episode of a while back called music on the Brain 36 00:02:35,320 --> 00:02:37,680 Speaker 1: where we talked about the various ways that didn't music 37 00:02:38,120 --> 00:02:41,280 Speaker 1: Uh speaks to us on a conscious and subconscious level. Uh, 38 00:02:41,360 --> 00:02:43,280 Speaker 1: And we have to think about music and stuff. What 39 00:02:43,440 --> 00:02:45,600 Speaker 1: is music? You know, it's obviously it's a deep part 40 00:02:45,639 --> 00:02:48,480 Speaker 1: of our cognitive architecture. It changes our mood, it heightens 41 00:02:48,480 --> 00:02:51,720 Speaker 1: our emotions. Uh, and we'd have to find a culture 42 00:02:51,880 --> 00:02:55,480 Speaker 1: that didn't or doesn't have it. And some evidence even 43 00:02:55,480 --> 00:02:59,160 Speaker 1: suggests that the Neanderthals, in absence of language, may have 44 00:02:59,320 --> 00:03:03,160 Speaker 1: used music as a means of communication. Um. Indeed, there 45 00:03:03,160 --> 00:03:05,200 Speaker 1: are also parts of the brain that respond to music. 46 00:03:05,240 --> 00:03:07,959 Speaker 1: They don't respond to language. Separate parts of the brain 47 00:03:08,000 --> 00:03:10,640 Speaker 1: that respond to the melody of language differ from the 48 00:03:10,639 --> 00:03:14,440 Speaker 1: parts that respond to the melody of music. So music 49 00:03:14,680 --> 00:03:18,040 Speaker 1: is really kind of this uncanny thing in and of itself. Yeah. 50 00:03:18,080 --> 00:03:20,520 Speaker 1: I like to bring up cognitive psychologists and ling with 51 00:03:20,600 --> 00:03:24,000 Speaker 1: Stephen Pinker because he's the guy who he's probably pretty 52 00:03:24,040 --> 00:03:27,959 Speaker 1: brilliant guy, But he did say music is just auditory cheesecake, 53 00:03:28,520 --> 00:03:32,799 Speaker 1: an accident of evolution. But when we look at music 54 00:03:32,919 --> 00:03:35,560 Speaker 1: a little bit deeper than we really begin to see 55 00:03:35,600 --> 00:03:38,360 Speaker 1: that the case that was made in the documentary The 56 00:03:38,440 --> 00:03:42,560 Speaker 1: Music Instinct with Bobby McPherrin, that music actually maybe a 57 00:03:42,600 --> 00:03:46,240 Speaker 1: precursor to language. As you had said, Um, is there 58 00:03:46,280 --> 00:03:49,320 Speaker 1: because you think about music and there's no one music 59 00:03:49,440 --> 00:03:51,839 Speaker 1: center in our brains and as you had said, their 60 00:03:52,320 --> 00:03:55,800 Speaker 1: music uses certain parts of our brain that language doesn't um. 61 00:03:55,880 --> 00:03:58,800 Speaker 1: One of the parts that music recruits, and I think 62 00:03:58,800 --> 00:04:01,800 Speaker 1: this is so interesting is the visual cortext And it's 63 00:04:01,840 --> 00:04:04,800 Speaker 1: thought that the visual cortex actually maps a visual of 64 00:04:04,840 --> 00:04:08,400 Speaker 1: how the pitch and tone are changing, and in turn, 65 00:04:08,520 --> 00:04:11,880 Speaker 1: music moves us, literally moves us. We danced to it 66 00:04:11,920 --> 00:04:15,680 Speaker 1: because we envision the movement in it. So keep that 67 00:04:15,720 --> 00:04:17,840 Speaker 1: in mind as we continue to talk a little bit 68 00:04:17,880 --> 00:04:21,400 Speaker 1: more about music and how it manipulates us um and 69 00:04:21,560 --> 00:04:25,080 Speaker 1: particularly spooky music, how that might motivate us. The manipulation 70 00:04:25,160 --> 00:04:28,320 Speaker 1: is key here because when when music psychologists talk about 71 00:04:28,520 --> 00:04:33,039 Speaker 1: music and emotion, they often distinguished between emotion perception, which 72 00:04:33,040 --> 00:04:36,040 Speaker 1: refers to the perception of emotions expressed by the music. 73 00:04:36,120 --> 00:04:40,200 Speaker 1: Like oh, um, the sprint of the Boss is singing 74 00:04:40,200 --> 00:04:43,599 Speaker 1: about some sort of sad working class story and run 75 00:04:43,600 --> 00:04:46,000 Speaker 1: in with the law. That's a sad story. The song 76 00:04:46,120 --> 00:04:48,720 Speaker 1: is sad. I'm interpreting the sadness of it. Can you 77 00:04:48,760 --> 00:04:51,039 Speaker 1: say the boss you're talking about? Of course, of course 78 00:04:51,600 --> 00:04:53,240 Speaker 1: he's still the boss. I don't. I don't think he's 79 00:04:53,279 --> 00:04:56,360 Speaker 1: that that position has has not been vacated yet. Uh 80 00:04:56,400 --> 00:04:58,800 Speaker 1: And then there, But then there's emotion induction and this 81 00:04:58,920 --> 00:05:02,120 Speaker 1: refers to the list there's effective response to the music. 82 00:05:02,480 --> 00:05:04,280 Speaker 1: But I think it's interesting about this. It's not just 83 00:05:04,320 --> 00:05:07,599 Speaker 1: the emotional arousal, it's that we actually will show a 84 00:05:07,640 --> 00:05:11,440 Speaker 1: physical demonstration of that emotion. And there's a two thousand 85 00:05:11,520 --> 00:05:15,240 Speaker 1: and nine study of twenty six people who it turns out, 86 00:05:15,360 --> 00:05:19,400 Speaker 1: for a strong correlation between subjective emotional response and objective 87 00:05:19,400 --> 00:05:23,120 Speaker 1: physical response to music. The paper is called the Rewarding 88 00:05:23,160 --> 00:05:26,040 Speaker 1: Aspects of Music listening are related to a degree of 89 00:05:26,040 --> 00:05:30,640 Speaker 1: emotional arousal and details the chills that someone can feel 90 00:05:30,680 --> 00:05:34,560 Speaker 1: when they're listening to something flesh, whatever you want to 91 00:05:34,560 --> 00:05:37,200 Speaker 1: call it. And have you you yourself experienced this when 92 00:05:37,200 --> 00:05:41,000 Speaker 1: you listen to any music. Um, I think the one 93 00:05:41,000 --> 00:05:46,200 Speaker 1: that comes to mind is um Centerman by Nana Simone, 94 00:05:46,240 --> 00:05:48,039 Speaker 1: and I'm talking about the live version. It's like a 95 00:05:48,080 --> 00:05:53,920 Speaker 1: ten minute long song. It is also actually you don't 96 00:05:53,920 --> 00:05:55,279 Speaker 1: want me to do that, because I would do that 97 00:05:55,279 --> 00:05:57,840 Speaker 1: for ten minutes gonna be insane. But if you listen 98 00:05:57,839 --> 00:06:00,560 Speaker 1: to that piece of music, it's a all looking right 99 00:06:00,640 --> 00:06:04,560 Speaker 1: of emotions and the piano just gets crazy at some points, 100 00:06:04,720 --> 00:06:08,599 Speaker 1: and it's a it's a very emotional song and there's 101 00:06:09,200 --> 00:06:12,200 Speaker 1: a lot of syncopated rhythm with the clapping, which is 102 00:06:12,240 --> 00:06:15,279 Speaker 1: a stand in for the percussion in it. Very nice. Well, 103 00:06:15,320 --> 00:06:17,000 Speaker 1: I was trying to think of songs that have the 104 00:06:17,000 --> 00:06:20,560 Speaker 1: similar effect on me and for my own part, Radioheads 105 00:06:20,600 --> 00:06:23,520 Speaker 1: Everything in its right place. Every time I listened to that, 106 00:06:23,560 --> 00:06:26,920 Speaker 1: particularly just the first few seconds of it, when with 107 00:06:26,960 --> 00:06:31,800 Speaker 1: this kind of cascade of notes, sort of finding synchronicity 108 00:06:32,000 --> 00:06:34,320 Speaker 1: like that always gives me chill bumps. Again, I think 109 00:06:34,520 --> 00:06:37,320 Speaker 1: you stay cascading and there's that movement. Yeah, it's definitely 110 00:06:37,360 --> 00:06:40,160 Speaker 1: the movement of the music, and and my body moves 111 00:06:40,160 --> 00:06:41,880 Speaker 1: with it. I just get get the chills every time. 112 00:06:42,400 --> 00:06:45,960 Speaker 1: These twenty six people who underwent this experiment, well machines 113 00:06:46,040 --> 00:06:49,920 Speaker 1: measured their heart rate, respiration rate, body temperature, and galvanic 114 00:06:50,000 --> 00:06:52,719 Speaker 1: skin response. This is how much basically they were sweating 115 00:06:52,839 --> 00:06:56,080 Speaker 1: in response to the music and their blood volume pulse 116 00:06:56,720 --> 00:07:00,840 Speaker 1: and uh. They were asked to clear a button every 117 00:07:00,880 --> 00:07:04,040 Speaker 1: time that they felt really aroused, and so number four, 118 00:07:04,960 --> 00:07:08,400 Speaker 1: they're the four clicking button was a button that correlated 119 00:07:08,440 --> 00:07:11,680 Speaker 1: with chills, and so they found that the chills occurred 120 00:07:11,680 --> 00:07:14,640 Speaker 1: at the highest moment of pleasure reported. I think that's 121 00:07:14,680 --> 00:07:18,200 Speaker 1: interesting that it's a pleasurable response and yet chills is 122 00:07:18,240 --> 00:07:21,560 Speaker 1: the expression of a body. Yeah, you're you're intensely satisfied 123 00:07:21,560 --> 00:07:24,720 Speaker 1: by the music, but it's giving giving you chills. Um. 124 00:07:24,760 --> 00:07:26,400 Speaker 1: And there was another study we looked at here from ne' 125 00:07:26,480 --> 00:07:29,840 Speaker 1: allis Jack pack Sip of Bowling Green State University. This 126 00:07:29,840 --> 00:07:32,400 Speaker 1: one's interesting because he found that people listening to music 127 00:07:32,400 --> 00:07:35,920 Speaker 1: often experienced goose bumps because of sad feelings more so 128 00:07:36,040 --> 00:07:38,560 Speaker 1: than happy or excited emotions. But a lot of this 129 00:07:38,640 --> 00:07:43,720 Speaker 1: came down to, um, melancholy associations with the past, which 130 00:07:43,880 --> 00:07:45,760 Speaker 1: which is kind of like, you know, getting into the 131 00:07:45,800 --> 00:07:48,880 Speaker 1: context issue of all of this. For instance, that song 132 00:07:48,960 --> 00:07:51,040 Speaker 1: that you listen to a hundred times in a row 133 00:07:51,120 --> 00:07:54,240 Speaker 1: during a breakup, you listen to it ten years later. 134 00:07:54,760 --> 00:07:57,680 Speaker 1: You don't care the least bit about that individual, but 135 00:07:57,760 --> 00:07:59,800 Speaker 1: that music can still stir something and there's a bit 136 00:07:59,840 --> 00:08:02,080 Speaker 1: of a nostalgian that as well. You know, it sort 137 00:08:02,080 --> 00:08:04,600 Speaker 1: of sucks you back a little bit into that emotional state. 138 00:08:05,240 --> 00:08:08,400 Speaker 1: It wasn't the idea behind that is that the listener 139 00:08:08,560 --> 00:08:12,520 Speaker 1: is filling nostalgic or sad because they and having goose 140 00:08:12,560 --> 00:08:16,600 Speaker 1: bumps as a response because they physically are missing the 141 00:08:16,600 --> 00:08:19,840 Speaker 1: warmth of that person. Yes, the researcher argues that music 142 00:08:19,880 --> 00:08:22,600 Speaker 1: and news chills are tied into the chemicals released in 143 00:08:22,600 --> 00:08:25,920 Speaker 1: our brain to deal with social loss. So the idea 144 00:08:26,000 --> 00:08:29,040 Speaker 1: is that our ancient ancestors might have experienced as if 145 00:08:29,080 --> 00:08:31,760 Speaker 1: they are separated from a family member. All right, you 146 00:08:31,760 --> 00:08:34,560 Speaker 1: you wander off, and then the cries you hear in 147 00:08:34,559 --> 00:08:38,080 Speaker 1: the air of of of lost family members, that that 148 00:08:38,160 --> 00:08:41,000 Speaker 1: will call it cause a chill inside you and cause 149 00:08:41,080 --> 00:08:43,040 Speaker 1: you to have this desire to reach out to the 150 00:08:43,080 --> 00:08:45,720 Speaker 1: warmth of others. And I thought it was interesting that 151 00:08:45,760 --> 00:08:49,320 Speaker 1: this was the response, that these chill bumps, even for 152 00:08:49,400 --> 00:08:52,040 Speaker 1: someone who would be singing or listening to the Star 153 00:08:52,080 --> 00:08:55,600 Speaker 1: Spangled Banner. And I thought, okay, that's a little bit odd. 154 00:08:55,600 --> 00:08:57,760 Speaker 1: But when you and a little cheesy no, it's fine, 155 00:08:57,800 --> 00:09:01,480 Speaker 1: it's fine, it's nice. But if you peel that back 156 00:09:01,480 --> 00:09:03,960 Speaker 1: a little bit, and then you can say, okay, well 157 00:09:04,000 --> 00:09:07,839 Speaker 1: what is it to be to be moved by that song? 158 00:09:07,960 --> 00:09:11,840 Speaker 1: You feel united with your countrymen and country women. So 159 00:09:11,920 --> 00:09:15,199 Speaker 1: in a sense, there there's that community based longing. Well, 160 00:09:15,200 --> 00:09:17,720 Speaker 1: it's like with with with so many issues we've discussed. 161 00:09:17,840 --> 00:09:20,520 Speaker 1: You can find the sort of core of like ancestral 162 00:09:20,559 --> 00:09:23,920 Speaker 1: animal organism sense to what happens, but then you pile 163 00:09:24,080 --> 00:09:28,320 Speaker 1: enough layers of human complexity and human cognition and it 164 00:09:28,440 --> 00:09:30,800 Speaker 1: just turns it into a maze. Yeah. And just to 165 00:09:30,920 --> 00:09:33,080 Speaker 1: further compound that the amaze too, of course, we're going 166 00:09:33,120 --> 00:09:35,120 Speaker 1: to have to look back at the brain because I 167 00:09:35,160 --> 00:09:37,560 Speaker 1: want to look at the amgdala for a moment, in 168 00:09:37,600 --> 00:09:42,160 Speaker 1: particular when we talk about scary music, because the amingdalas 169 00:09:42,200 --> 00:09:46,439 Speaker 1: we know, processes emotion, memory, fear, and to test out 170 00:09:46,480 --> 00:09:49,080 Speaker 1: the theory that certain strains of music can ramp up 171 00:09:49,200 --> 00:09:53,120 Speaker 1: or dial down the fear response, researchers in Oxford, England 172 00:09:53,160 --> 00:09:57,160 Speaker 1: played different kinds of music for people's who who'se Amingdoala's 173 00:09:57,280 --> 00:10:00,439 Speaker 1: had been removed because of an illness or an act stents, 174 00:10:00,920 --> 00:10:02,959 Speaker 1: and then people without this part of the brain the 175 00:10:03,000 --> 00:10:07,200 Speaker 1: actually had trouble recognizing scary music, whereas people with their 176 00:10:07,200 --> 00:10:12,400 Speaker 1: amigdela is intact had a definite response when scary music 177 00:10:12,480 --> 00:10:15,679 Speaker 1: was played, as shown by the brain scanners. So again 178 00:10:15,720 --> 00:10:17,800 Speaker 1: there's an idea that there's so many different parts from 179 00:10:17,840 --> 00:10:20,720 Speaker 1: your brain that are weighing in on the notes that 180 00:10:20,760 --> 00:10:23,480 Speaker 1: you hear, now, I know what an overviewer probably wanted, well, 181 00:10:23,480 --> 00:10:26,280 Speaker 1: to what extent is it contextual? Is it cultural? Um 182 00:10:26,880 --> 00:10:28,439 Speaker 1: for instance, that the music we heard at the top 183 00:10:28,559 --> 00:10:32,160 Speaker 1: of the the program um A, it's by an act 184 00:10:32,200 --> 00:10:34,040 Speaker 1: known as the weirding module. So some of you would 185 00:10:34,240 --> 00:10:37,480 Speaker 1: if you hear that, you interpret this kind of strange 186 00:10:37,559 --> 00:10:39,800 Speaker 1: sounding name. You're bringing that into the game, or you're 187 00:10:39,840 --> 00:10:43,480 Speaker 1: recognizing the piece of music, example in the work as 188 00:10:43,600 --> 00:10:46,160 Speaker 1: as being familiar to something in the shining. We're bringing 189 00:10:46,160 --> 00:10:48,240 Speaker 1: all this context, we're bringing all this culture, and so 190 00:10:48,360 --> 00:10:51,400 Speaker 1: of course we interpret it as creepy. So if you 191 00:10:51,480 --> 00:10:54,600 Speaker 1: were to play creepy music for someone who had zero 192 00:10:54,679 --> 00:10:57,120 Speaker 1: experience with any of that, would they still find it scary. 193 00:10:57,720 --> 00:11:00,240 Speaker 1: You're talking about the study of the MafA people in 194 00:11:00,480 --> 00:11:04,640 Speaker 1: Cameroon who had never ever heard any sort of strains 195 00:11:04,960 --> 00:11:09,079 Speaker 1: of Western music, and they were introduced to three Western 196 00:11:09,320 --> 00:11:12,560 Speaker 1: musical clips. One that is typically thought to be sad, 197 00:11:13,200 --> 00:11:16,960 Speaker 1: one that's happy, and one that's spooky. All three examples. 198 00:11:17,040 --> 00:11:18,640 Speaker 1: By the way, it sounds like something that would play 199 00:11:18,720 --> 00:11:21,960 Speaker 1: during like a um an old silent film that would 200 00:11:21,960 --> 00:11:25,040 Speaker 1: be played on the piano, you know, classifying somebody to 201 00:11:25,160 --> 00:11:27,719 Speaker 1: the railroad tracks kind of a thing right in the 202 00:11:27,880 --> 00:11:32,600 Speaker 1: music speeds up. Um, all right. These Cameroonians were also 203 00:11:33,320 --> 00:11:36,520 Speaker 1: shown something called Ekman faces, and these e Men faces 204 00:11:36,559 --> 00:11:40,360 Speaker 1: are photos of standardized expressions of emotions. So in this 205 00:11:40,520 --> 00:11:44,480 Speaker 1: case they had a happy, sad, and scared face to 206 00:11:44,600 --> 00:11:48,120 Speaker 1: look at while they listened to music. And just like Westerners, 207 00:11:48,200 --> 00:11:52,559 Speaker 1: the Cameroonians correlated the music type with the same facial expressions. 208 00:11:52,640 --> 00:11:56,439 Speaker 1: So that would tell you that there's some universality to it. 209 00:11:56,600 --> 00:11:59,640 Speaker 1: Now that's not There are other studies that say no, 210 00:12:00,040 --> 00:12:02,480 Speaker 1: the second you know, some that negate this because there 211 00:12:02,520 --> 00:12:06,080 Speaker 1: are other cultures that might hear certain notes and interpret 212 00:12:06,160 --> 00:12:08,360 Speaker 1: in different ways. Yeah, when you get in deep and 213 00:12:08,400 --> 00:12:12,079 Speaker 1: to say the differences between Eastern and Western music trends 214 00:12:12,320 --> 00:12:15,880 Speaker 1: in Middle Eastern music versus Western music, then things get 215 00:12:15,880 --> 00:12:17,760 Speaker 1: a little more complicated. Well, I was just thinking about 216 00:12:17,800 --> 00:12:22,440 Speaker 1: Chinese opera, which the tones in the Chinese opera might 217 00:12:22,559 --> 00:12:26,839 Speaker 1: sound very um, harsh or dissonant to the Western year, 218 00:12:27,160 --> 00:12:31,080 Speaker 1: but very pleasant to Eastern year. Yeah, there's a fabulous 219 00:12:31,120 --> 00:12:32,920 Speaker 1: I think in b our Peace in the past year 220 00:12:33,000 --> 00:12:37,280 Speaker 1: about western Western musician, a Western opera singer traveling to 221 00:12:37,400 --> 00:12:40,240 Speaker 1: China and engaging in Chinese opera and sort of dealing 222 00:12:40,320 --> 00:12:43,520 Speaker 1: with the the the contrast between Western opera and Chinese opera, 223 00:12:44,040 --> 00:12:46,600 Speaker 1: some of the overlap of the performers, and it's it's 224 00:12:46,640 --> 00:12:51,320 Speaker 1: interesting because they are such different animals well, and even 225 00:12:51,559 --> 00:12:54,080 Speaker 1: in language. And Alison and I had kind of talked 226 00:12:54,080 --> 00:12:56,880 Speaker 1: about this a little bit. There's a musicality tell language 227 00:12:57,120 --> 00:13:00,880 Speaker 1: and if you look at something like Vietnamese, one word 228 00:13:01,280 --> 00:13:04,480 Speaker 1: can be said in five different tones, I mean five 229 00:13:04,720 --> 00:13:08,160 Speaker 1: entirely different things. So similar thing in Mandarin. Yeah, yeah, 230 00:13:08,240 --> 00:13:10,640 Speaker 1: so it's much more nuanced and it has to be 231 00:13:10,720 --> 00:13:14,839 Speaker 1: taken into account. But Christopher Gladwin, the man behind the 232 00:13:14,960 --> 00:13:20,040 Speaker 1: Weirding module, had some very interesting thoughts on this universality. Yeah. 233 00:13:20,080 --> 00:13:22,800 Speaker 1: It was exchanged some emails, uh with Chris, and he 234 00:13:22,880 --> 00:13:24,839 Speaker 1: had a lot of great in photo to share and 235 00:13:25,520 --> 00:13:27,319 Speaker 1: sadly between the two of us, we didn't have time 236 00:13:27,360 --> 00:13:29,920 Speaker 1: to do an audio interview, but I'll hopefully be sharing 237 00:13:29,960 --> 00:13:32,400 Speaker 1: some stuff on the blog from him in the weeks 238 00:13:32,440 --> 00:13:34,839 Speaker 1: they had. He said, quote, there are sounds which almost 239 00:13:34,920 --> 00:13:37,840 Speaker 1: universally caused revulsion or fight or flight responses. The sound 240 00:13:37,880 --> 00:13:41,280 Speaker 1: of vomiting came out is the most obnoxious auditory experience 241 00:13:41,480 --> 00:13:44,679 Speaker 1: in a worldwide Internet survey conducted by Professor Trevor Cox. 242 00:13:45,080 --> 00:13:47,600 Speaker 1: The reason for this UH is that we're it's hardware 243 00:13:47,640 --> 00:13:51,319 Speaker 1: tor biology. Avoid those that are disgorging the contents of 244 00:13:51,360 --> 00:13:53,520 Speaker 1: their stomachs unless you want the same to happen to you. 245 00:13:54,160 --> 00:13:56,679 Speaker 1: Other sounds that came out on top where babies crying 246 00:13:56,760 --> 00:13:59,120 Speaker 1: and nails down at blackboard. Both of these sounds have 247 00:13:59,480 --> 00:14:03,480 Speaker 1: relatively complex, high frequency tones that we are evolutionarily designed 248 00:14:03,559 --> 00:14:05,760 Speaker 1: to respond to. Having a year old daughter, I can 249 00:14:05,800 --> 00:14:10,000 Speaker 1: appreciate this. Many industrial bands have used such casual tactics 250 00:14:10,200 --> 00:14:13,240 Speaker 1: throbbing gristle and their use of recordings of dogs are 251 00:14:13,280 --> 00:14:16,679 Speaker 1: tappicking of dummy, etcetera. And he goes on to UH 252 00:14:16,960 --> 00:14:19,920 Speaker 1: to discuss this in further depth, and I will hopefully 253 00:14:19,920 --> 00:14:22,480 Speaker 1: share that with everyone later on. But but yeah, there 254 00:14:22,480 --> 00:14:25,840 Speaker 1: are certain things that just as an organism, we UH 255 00:14:26,000 --> 00:14:29,400 Speaker 1: feel this either discussed with or this aversion to or 256 00:14:29,480 --> 00:14:31,320 Speaker 1: it just sets up all our alarms. I mean the 257 00:14:31,560 --> 00:14:34,480 Speaker 1: baby crying. I I to him experiencing that one with 258 00:14:34,600 --> 00:14:37,960 Speaker 1: the toddler that time my wife and I have have 259 00:14:38,040 --> 00:14:41,240 Speaker 1: adopted and he will he'll start, you know, crying or 260 00:14:41,240 --> 00:14:42,800 Speaker 1: tuning up a little bit in the middle of the night, 261 00:14:43,160 --> 00:14:46,320 Speaker 1: and it just has this intense effect on me, uh 262 00:14:46,560 --> 00:14:49,320 Speaker 1: to where even after I put him back to sleep, 263 00:14:49,680 --> 00:14:51,840 Speaker 1: my heart is just still beating like crazy, Like it's 264 00:14:51,880 --> 00:14:55,240 Speaker 1: just it's reaching behind my brain and uh and you know, 265 00:14:55,360 --> 00:14:58,440 Speaker 1: grabbing hold of the reptilian portion there right now is 266 00:14:58,440 --> 00:15:03,240 Speaker 1: your cap biscuit mimick the cries of a newborn. Yeah, well, 267 00:15:03,480 --> 00:15:05,320 Speaker 1: you know there's that argument that that's what cats are 268 00:15:05,320 --> 00:15:09,640 Speaker 1: doing anyway, and they're they're perverse means of manipulating their humans, 269 00:15:09,840 --> 00:15:12,320 Speaker 1: And so yeah, we'll have they'll be situations where the 270 00:15:12,640 --> 00:15:15,360 Speaker 1: child is authentically crying and then the cat is also 271 00:15:15,720 --> 00:15:19,040 Speaker 1: crying and it's mock human voice, and it's it's you 272 00:15:19,120 --> 00:15:21,640 Speaker 1: know what this is like, it's frustrating. It becomes a 273 00:15:21,760 --> 00:15:25,840 Speaker 1: loud household at three am. Y yeah um. Christopher Gladwin 274 00:15:25,920 --> 00:15:28,160 Speaker 1: also mentioned there was a sound that he found difficult 275 00:15:28,160 --> 00:15:30,400 Speaker 1: to describe. Michael Geret of the Swans, he said, put 276 00:15:30,440 --> 00:15:33,760 Speaker 1: it best that sex death sound that comes from somewhere 277 00:15:33,840 --> 00:15:37,240 Speaker 1: deep inside. There are some experiences of sound that you 278 00:15:37,400 --> 00:15:42,360 Speaker 1: just get that you tried to spell out. That's the 279 00:15:42,400 --> 00:15:44,920 Speaker 1: best I can do. Feeling from and some sort of 280 00:15:45,040 --> 00:15:48,560 Speaker 1: possession occurs. I believe that this connects with some subterranean 281 00:15:48,720 --> 00:15:52,680 Speaker 1: evolutionary memory, something in our ancestral reptilian fish brain. We 282 00:15:52,840 --> 00:15:56,360 Speaker 1: still have this the sigil fish ears, you know, And 283 00:15:56,440 --> 00:15:59,000 Speaker 1: I thought, you know what that sound. Let me tell 284 00:15:59,000 --> 00:16:00,960 Speaker 1: you this, and it's I'm to give you the context. 285 00:16:01,040 --> 00:16:03,200 Speaker 1: It was not a sexual context, so you don't have 286 00:16:03,320 --> 00:16:05,600 Speaker 1: to put your hands up to your ear to say no, no, 287 00:16:05,680 --> 00:16:08,520 Speaker 1: no no. I did something called the seven minute workout. 288 00:16:08,880 --> 00:16:11,920 Speaker 1: Do you know about this? It's awful. It is like 289 00:16:12,080 --> 00:16:15,960 Speaker 1: this ramped up, high density crazy workout you do for 290 00:16:16,040 --> 00:16:20,840 Speaker 1: seven minutes, just the best and highest rate that you can. Okay, 291 00:16:21,000 --> 00:16:24,880 Speaker 1: And I heard these noises coming out of myself that 292 00:16:25,040 --> 00:16:28,920 Speaker 1: I was a little bit ashamed of. I felt a 293 00:16:28,960 --> 00:16:31,800 Speaker 1: little bit like freaked out that they were actually coming out. 294 00:16:31,840 --> 00:16:34,040 Speaker 1: But I understand what he's saying. There's like guttural like, 295 00:16:34,160 --> 00:16:37,320 Speaker 1: oh my god, I'm dying inside noise that I had 296 00:16:37,440 --> 00:16:40,960 Speaker 1: never heard come out of myself before. And so there 297 00:16:41,080 --> 00:16:44,960 Speaker 1: is something too that this evolutionary like, oh there's something wrong. Yeah. 298 00:16:45,480 --> 00:16:49,160 Speaker 1: An example of that, I was driving my child around 299 00:16:49,400 --> 00:16:50,800 Speaker 1: in the middle of the night trying to get him 300 00:16:50,800 --> 00:16:53,280 Speaker 1: to sleep. Immediately after returning home, and he was super 301 00:16:53,360 --> 00:16:55,760 Speaker 1: jet lagged down his jet lag And so I was 302 00:16:55,800 --> 00:16:58,960 Speaker 1: listening to Radio lab catching up in some Radio Lavish episodes, 303 00:16:59,000 --> 00:17:01,160 Speaker 1: and there's an excellent one they did recently on rabies. 304 00:17:01,880 --> 00:17:05,200 Speaker 1: And in that episode they play some audio of humans 305 00:17:05,480 --> 00:17:08,960 Speaker 1: who have rabies and are experiencing that rage and that 306 00:17:09,200 --> 00:17:12,680 Speaker 1: just you know, the mindless rage that is associated with 307 00:17:12,720 --> 00:17:15,879 Speaker 1: the later stages of rabies. And it was extremely unsettling 308 00:17:15,960 --> 00:17:18,160 Speaker 1: to hear those sounds like and it's and I wonder 309 00:17:18,240 --> 00:17:19,920 Speaker 1: to what extent that's going to cross over, that this 310 00:17:20,080 --> 00:17:22,560 Speaker 1: this idea, that that that is on some level human, 311 00:17:22,600 --> 00:17:25,840 Speaker 1: but it must be bodily possessioned by some outside force 312 00:17:25,920 --> 00:17:28,240 Speaker 1: that is making that kind of noise. And you're right, 313 00:17:28,359 --> 00:17:31,440 Speaker 1: that bodily possession, as if you are outside of yourself 314 00:17:31,680 --> 00:17:34,800 Speaker 1: or something was outside of itself. All right, we should 315 00:17:34,840 --> 00:17:37,320 Speaker 1: probably take a quick break, and when we get back, 316 00:17:37,520 --> 00:17:41,000 Speaker 1: we you and I, Robert Lamb, are going to actually 317 00:17:41,160 --> 00:17:45,040 Speaker 1: sing some of the strains of music classics, not because 318 00:17:45,080 --> 00:17:47,680 Speaker 1: we necessarily want to do that to your ears, but 319 00:17:47,760 --> 00:17:50,560 Speaker 1: because we have no budget. Correct, right, So stand by, 320 00:17:58,359 --> 00:18:02,280 Speaker 1: all right, we're back, Robert. Did you know that in 321 00:18:02,400 --> 00:18:06,760 Speaker 1: the original cut of Psycho that Hitchcock did not want 322 00:18:07,359 --> 00:18:12,720 Speaker 1: those high pitched violin screams to accompany the shower scene 323 00:18:12,960 --> 00:18:20,080 Speaker 1: famous iconomy. Sorry about that again, we have no budgets, 324 00:18:20,080 --> 00:18:22,280 Speaker 1: so that's what you guys are getting. Um. It was 325 00:18:22,320 --> 00:18:26,400 Speaker 1: actually his wife, Alma Revel, who was a script writer 326 00:18:26,800 --> 00:18:30,760 Speaker 1: and actually a director of her own right and an 327 00:18:30,920 --> 00:18:32,880 Speaker 1: editor who said, no, no, no, you need to check 328 00:18:32,960 --> 00:18:37,200 Speaker 1: out Bernard Herman's score that he's created for this. It's amazing. 329 00:18:37,320 --> 00:18:39,640 Speaker 1: It's going to do its thing. And they actually tested 330 00:18:39,720 --> 00:18:43,119 Speaker 1: two versions, one with the with the violins and one without, 331 00:18:43,800 --> 00:18:47,560 Speaker 1: and apparently when they showed the audience when without they 332 00:18:47,600 --> 00:18:50,000 Speaker 1: were a little like, okay, so that this one is 333 00:18:50,040 --> 00:18:52,080 Speaker 1: getting hacked to death in a shower. But when they 334 00:18:52,240 --> 00:18:56,040 Speaker 1: accompanied the violence strains of Bernard Herman, people freaked out. 335 00:18:57,080 --> 00:19:00,240 Speaker 1: It's interesting to think of having not glops in the 336 00:19:00,320 --> 00:19:04,160 Speaker 1: scene without the music, and it's hard to imagine because 337 00:19:04,160 --> 00:19:06,640 Speaker 1: it's such an iconic scene and you go together so well, 338 00:19:07,200 --> 00:19:09,399 Speaker 1: and when I imagine the scene in my mind and 339 00:19:09,520 --> 00:19:11,800 Speaker 1: I think that's a really horrific scene, you know, even 340 00:19:12,280 --> 00:19:16,119 Speaker 1: even though it it doesn't show as much um in 341 00:19:16,240 --> 00:19:19,119 Speaker 1: way in the way of nudity or bloodshed that you 342 00:19:19,200 --> 00:19:20,720 Speaker 1: might you know that, I'm sure you can get away 343 00:19:20,760 --> 00:19:25,080 Speaker 1: with today. Uh. It's so effective and so disturbing, and 344 00:19:25,240 --> 00:19:29,639 Speaker 1: yet the music is what seems to make it so effective, 345 00:19:29,760 --> 00:19:31,920 Speaker 1: like in in a sense we can't feel or even 346 00:19:32,000 --> 00:19:35,760 Speaker 1: imagine what those the stabs feel like physically, because most 347 00:19:35,800 --> 00:19:38,000 Speaker 1: of us have not been brutally stabbed with a butcher 348 00:19:38,080 --> 00:19:41,240 Speaker 1: knife before, but the music kind of fills that place. 349 00:19:42,200 --> 00:19:44,960 Speaker 1: It's interesting that you say that it's it's not that 350 00:19:45,119 --> 00:19:48,040 Speaker 1: much nudity and it's not that much violence, because they 351 00:19:48,080 --> 00:19:49,720 Speaker 1: mean what you saw it. Because a lot of people 352 00:19:50,040 --> 00:19:52,439 Speaker 1: when they when they ask people, you know, about that scene, 353 00:19:53,000 --> 00:19:55,520 Speaker 1: they tend to envision much more violence and nudity than 354 00:19:55,520 --> 00:19:59,760 Speaker 1: there actually is because of that heightened emotionality there. I think. Um, 355 00:20:00,080 --> 00:20:02,479 Speaker 1: and of course it's that high pitch sound and we'll 356 00:20:02,520 --> 00:20:04,639 Speaker 1: get a little bit more into that in terms of 357 00:20:04,720 --> 00:20:07,720 Speaker 1: the animal world, but I wanted to mention that in 358 00:20:07,880 --> 00:20:12,280 Speaker 1: terms of pitch. Daniel Blumstein Uh he scrutinized one and 359 00:20:12,320 --> 00:20:15,800 Speaker 1: two films and found that horror films had a higher 360 00:20:15,880 --> 00:20:19,320 Speaker 1: than expected number of abrupt shifts up and down and pitch, 361 00:20:19,440 --> 00:20:23,080 Speaker 1: which he reported in The Royal Society Journal Biology Letters, 362 00:20:23,480 --> 00:20:26,720 Speaker 1: So already you can see that there are very different 363 00:20:26,760 --> 00:20:29,000 Speaker 1: ways that UM, that filmmaker