1 00:00:01,480 --> 00:00:04,960 Speaker 1: Welcome to stuff you should know, a production of iHeartRadio. 2 00:00:11,080 --> 00:00:13,440 Speaker 2: Hey, and welcome to the podcast. I'm Josh and there's 3 00:00:13,560 --> 00:00:15,760 Speaker 2: Chuck and I'm not going to scream to start this 4 00:00:15,880 --> 00:00:18,040 Speaker 2: off because I care about all of you listening. 5 00:00:18,760 --> 00:00:24,320 Speaker 1: Yeah, that was a new for you. Yeah, we're talking about. 6 00:00:24,520 --> 00:00:27,760 Speaker 1: Julia helped us out with this one, and I commissioned 7 00:00:27,760 --> 00:00:30,800 Speaker 1: this one. And I don't remember what instigated it. It 8 00:00:30,800 --> 00:00:35,720 Speaker 1: definitely wasn't from hearing somebody scream. I may have seen 9 00:00:36,280 --> 00:00:39,199 Speaker 1: an article or something that piqued my interest and I 10 00:00:39,240 --> 00:00:42,239 Speaker 1: was like, wait a minute, what like screaming? Is interesting 11 00:00:42,320 --> 00:00:45,160 Speaker 1: that people scream and for all different kinds of reasons 12 00:00:45,680 --> 00:00:50,919 Speaker 1: people scream, and that's why I picked it. 13 00:00:51,040 --> 00:00:54,840 Speaker 2: Here we are. Yeah, I was very surprised and impressed this. 14 00:00:54,840 --> 00:00:57,960 Speaker 2: It's one of those ones where you just think you 15 00:00:58,000 --> 00:00:59,960 Speaker 2: know about it because you never really thought about it. 16 00:01:00,120 --> 00:01:02,240 Speaker 2: When you diving into it. There's a lot more to 17 00:01:02,360 --> 00:01:05,280 Speaker 2: it than you ever realized. Although all of it makes 18 00:01:05,280 --> 00:01:08,560 Speaker 2: sense anecdotally, you're like, oh, yeah, oh yeah, I've done that. 19 00:01:08,920 --> 00:01:12,080 Speaker 2: I've screamed like that. I'd screamed and screamed and screamed 20 00:01:12,080 --> 00:01:15,600 Speaker 2: again it. Yeah, I like ones like this. I guess 21 00:01:15,760 --> 00:01:21,880 Speaker 2: human human nature explained, and there's a comment there somewhere. 22 00:01:21,480 --> 00:01:24,720 Speaker 1: Somewhere in there definitely not a colon. We should get 23 00:01:24,720 --> 00:01:26,440 Speaker 1: some nuts and bolts out of the way. As far 24 00:01:26,480 --> 00:01:29,320 Speaker 1: as like, everyone knows what a scream is. It's obviously 25 00:01:29,360 --> 00:01:32,240 Speaker 1: a very loud, high pitched, harsh thing on the ears. 26 00:01:33,080 --> 00:01:35,840 Speaker 1: It's a sound that you make with I was about say, 27 00:01:36,080 --> 00:01:38,000 Speaker 1: with your mouth, but we'll get to the parts that 28 00:01:38,040 --> 00:01:41,560 Speaker 1: make the scream. But nuts and bolts wise, the scream 29 00:01:41,640 --> 00:01:43,640 Speaker 1: is in about the eighty to one hundred and twenty 30 00:01:43,640 --> 00:01:51,720 Speaker 1: decibel range. In volume, sixty decibels is normal speech unless 31 00:01:51,720 --> 00:01:54,520 Speaker 1: you're my wife. That's more like an A seventy five. 32 00:01:54,600 --> 00:01:59,320 Speaker 1: I would say she and her her friend Stacy, or 33 00:01:59,320 --> 00:02:02,560 Speaker 1: to the loudest humans on earth, and they admit that 34 00:02:04,000 --> 00:02:07,240 Speaker 1: they're not wallflowers, and they own it and I respect it. 35 00:02:07,400 --> 00:02:12,679 Speaker 1: Nice they reach frequent Not Stacey and Emily, but humans. 36 00:02:13,520 --> 00:02:16,000 Speaker 1: I'm sorry. The human scream can reach a frequency in 37 00:02:16,000 --> 00:02:18,960 Speaker 1: the range of two thousand to three thousand herts, whereas 38 00:02:19,000 --> 00:02:21,760 Speaker 1: a normal talker is about eighty to three hundred herts. 39 00:02:22,240 --> 00:02:25,160 Speaker 2: Yeah, and for dumb dums with sound like me, the 40 00:02:25,240 --> 00:02:28,000 Speaker 2: higher the hurts, the higher the pitch, so hurts is 41 00:02:28,000 --> 00:02:32,320 Speaker 2: a measure of actual frequency. Pitch is basically a measure, 42 00:02:33,000 --> 00:02:36,760 Speaker 2: a description of how we experience that frequency. 43 00:02:37,520 --> 00:02:40,000 Speaker 1: That's right, And just to clear up something for what's 44 00:02:40,000 --> 00:02:46,040 Speaker 1: coming later. A sound, a tone can have two different frequencies. 45 00:02:46,160 --> 00:02:47,520 Speaker 2: I've got it. I have it now. 46 00:02:48,520 --> 00:02:50,359 Speaker 1: Okay, that's it. 47 00:02:51,520 --> 00:02:53,840 Speaker 2: No, I can't wait to explain it later because it's 48 00:02:53,919 --> 00:02:55,920 Speaker 2: gonna get flubbed all over the place. 49 00:02:57,000 --> 00:03:01,760 Speaker 1: Well, it isn't intuitive like you would think, like a 50 00:03:01,800 --> 00:03:06,680 Speaker 1: guitar string makes like, you know, one frequency range. But 51 00:03:06,800 --> 00:03:08,960 Speaker 1: it's just yeah, it's not true. It's one of those things. 52 00:03:09,240 --> 00:03:11,360 Speaker 2: Yeah, this is not true. We'll just leave it at that. 53 00:03:11,480 --> 00:03:13,440 Speaker 2: But we're getting ahead of ourselves, chuck. 54 00:03:13,960 --> 00:03:15,320 Speaker 1: Yeah. Back to screaming, right. 55 00:03:15,360 --> 00:03:18,400 Speaker 2: Yeah, because if you think about screaming, I always think 56 00:03:18,440 --> 00:03:21,560 Speaker 2: of someone screaming, usually in a horror movie or something 57 00:03:21,639 --> 00:03:24,440 Speaker 2: like that. I haven't heard too many, like real deal 58 00:03:24,480 --> 00:03:28,880 Speaker 2: screams in real life, which is nice. But we're not 59 00:03:29,000 --> 00:03:31,920 Speaker 2: the only animals that scream. There's plenty of other animals 60 00:03:32,000 --> 00:03:35,560 Speaker 2: in the animal kingdom that scream that we know of. 61 00:03:35,800 --> 00:03:38,080 Speaker 2: I'm quite sure there's plants that scream too, we just 62 00:03:38,080 --> 00:03:45,600 Speaker 2: can't hear them. Maybe but birds scream, seals, marmots, mountain lions, 63 00:03:46,120 --> 00:03:49,080 Speaker 2: and I didn't know giraffes scream. That's got to be 64 00:03:49,120 --> 00:03:54,720 Speaker 2: off putting. The funniest scream of all as a goat screaming. Yeah, 65 00:03:54,920 --> 00:03:59,400 Speaker 2: if you have never witnessed a goat scream, go right 66 00:03:59,440 --> 00:04:02,680 Speaker 2: now to YouTube and just look up goat screaming videos. 67 00:04:03,120 --> 00:04:05,280 Speaker 2: And they don't all scream the same way, but every 68 00:04:05,280 --> 00:04:06,800 Speaker 2: once in a while, one of them is going to 69 00:04:06,880 --> 00:04:10,760 Speaker 2: come along and scream like a man. And it is like, 70 00:04:10,840 --> 00:04:13,240 Speaker 2: you will, you can't not laugh out loud when you 71 00:04:13,240 --> 00:04:15,560 Speaker 2: see it. Every time I watched the same goat scream 72 00:04:15,680 --> 00:04:18,080 Speaker 2: over and over again, and I laughed out loud every 73 00:04:18,120 --> 00:04:19,039 Speaker 2: time I watched it. 74 00:04:19,720 --> 00:04:24,599 Speaker 1: Yeah, and it's so non goat sounding because it's not 75 00:04:24,640 --> 00:04:27,200 Speaker 1: even like a loud bleat that you wonder like, is 76 00:04:27,200 --> 00:04:30,359 Speaker 1: somebody punking me? And that's just like, you know, that's 77 00:04:30,600 --> 00:04:33,200 Speaker 1: James con from misery that they're looping in there. 78 00:04:34,240 --> 00:04:36,600 Speaker 2: Does kind of sound like that. Another one to look 79 00:04:36,640 --> 00:04:39,240 Speaker 2: up real quick, or two links in Ontario screaming at 80 00:04:39,279 --> 00:04:41,800 Speaker 2: each other. It's like right in their faces. Have you 81 00:04:41,800 --> 00:04:42,440 Speaker 2: seen that one? 82 00:04:42,680 --> 00:04:43,240 Speaker 1: I haven't seen that. 83 00:04:43,440 --> 00:04:44,599 Speaker 2: Oh, it's it's nuts. 84 00:04:45,920 --> 00:04:51,159 Speaker 1: Animals well, they Well, let's just talk about why anything screams. 85 00:04:51,000 --> 00:04:55,360 Speaker 1: It's a very effective tool. It's obviously a great fear 86 00:04:55,440 --> 00:04:58,320 Speaker 1: response because everyone's going to sit up and take notice 87 00:04:58,320 --> 00:05:02,200 Speaker 1: because it's so harsh and loud. It's a very jarring thing. 88 00:05:02,279 --> 00:05:07,360 Speaker 1: It can also distract predators, obviously, screaming if you're lost, 89 00:05:07,480 --> 00:05:09,520 Speaker 1: you know, scream can travel a great distance in the 90 00:05:09,520 --> 00:05:13,559 Speaker 1: woods or anywhere, and you can, you know, alert somebody 91 00:05:13,640 --> 00:05:15,840 Speaker 1: from a great distance. So it's a it's a great 92 00:05:15,920 --> 00:05:18,880 Speaker 1: communicative tool for humans and animals alike. 93 00:05:19,120 --> 00:05:22,440 Speaker 2: Yeah, and that loudness. I saw the Guinness record for 94 00:05:22,480 --> 00:05:26,560 Speaker 2: the loudest scream is one hundred and twenty nine decibels, 95 00:05:26,600 --> 00:05:30,040 Speaker 2: which is one decibel under a jet engine and almost 96 00:05:30,560 --> 00:05:32,919 Speaker 2: in almost ten times louder than a police siren. 97 00:05:34,839 --> 00:05:35,599 Speaker 1: Wonder you that was. 98 00:05:35,760 --> 00:05:38,240 Speaker 2: I don't know, but man, I can't imagine that they 99 00:05:38,240 --> 00:05:40,960 Speaker 2: did that too many times because, as we'll see, screaming 100 00:05:41,000 --> 00:05:44,040 Speaker 2: can really mess up your your neck junk. 101 00:05:44,920 --> 00:05:49,760 Speaker 1: Yeah, that's really gross. I'm getting older, so I'm getting 102 00:05:49,760 --> 00:05:50,880 Speaker 1: more and more neck junk. 103 00:05:52,440 --> 00:05:54,039 Speaker 2: Stress and neck chunk too. 104 00:05:54,880 --> 00:05:57,880 Speaker 1: All right, So humans are are born with this ability. 105 00:05:58,080 --> 00:06:02,040 Speaker 1: We know how to scream right away because we come 106 00:06:02,080 --> 00:06:05,320 Speaker 1: out of the womb screaming. In fact, that's a very 107 00:06:05,440 --> 00:06:08,960 Speaker 1: comforting sound when a baby is born, is that first scream. 108 00:06:09,000 --> 00:06:11,520 Speaker 1: They're going to clear that flem in their airway so 109 00:06:11,600 --> 00:06:14,720 Speaker 1: they can breathe. It lets everybody know, Hey, I'm here, 110 00:06:15,120 --> 00:06:18,400 Speaker 1: I'm ready for action. I'm feeling good despite the fact 111 00:06:18,400 --> 00:06:21,680 Speaker 1: that I'm screaming. If a baby is born and there 112 00:06:21,760 --> 00:06:25,640 Speaker 1: is no scream, that is a very scary, scary moment 113 00:06:25,720 --> 00:06:27,920 Speaker 1: for parents and everybody in that room. 114 00:06:28,080 --> 00:06:29,880 Speaker 2: Yeah, I can imagine. It's like there the one time 115 00:06:29,960 --> 00:06:32,920 Speaker 2: we're not screaming means that there's an issue. 116 00:06:32,960 --> 00:06:34,080 Speaker 1: Yeah, you know, totally. 117 00:06:35,120 --> 00:06:37,560 Speaker 2: And there's a lot of information in a baby's scream. 118 00:06:37,640 --> 00:06:41,039 Speaker 2: It says I'm in distress, I'm in pain, I could 119 00:06:41,120 --> 00:06:46,240 Speaker 2: use a gnash. There's just a lot that makes a 120 00:06:46,360 --> 00:06:49,080 Speaker 2: parent because we're tuned to this kind of thing, especially 121 00:06:49,120 --> 00:06:52,000 Speaker 2: if you're the parent of that baby. Studies show that 122 00:06:52,400 --> 00:06:56,040 Speaker 2: you respond to your own baby's cries or screams a 123 00:06:56,080 --> 00:06:59,599 Speaker 2: lot more easily or quickly than somebody who is not 124 00:06:59,680 --> 00:07:02,240 Speaker 2: the parent into that baby. But you rush over there 125 00:07:02,279 --> 00:07:05,360 Speaker 2: and you say, here's some food, here's a little blanket, 126 00:07:05,760 --> 00:07:07,840 Speaker 2: and way to go. You just got all the phlegm 127 00:07:08,160 --> 00:07:10,480 Speaker 2: out of your throat, so now you can breathe normally. 128 00:07:11,200 --> 00:07:13,640 Speaker 1: Yeah. I remember when you met Ruby as a baby 129 00:07:13,680 --> 00:07:15,080 Speaker 1: and she was screaming, and you're like, what the hell's 130 00:07:15,080 --> 00:07:15,760 Speaker 1: wrong with this kid? 131 00:07:16,920 --> 00:07:19,080 Speaker 2: Yeah? I just you know, I tried to bounce around 132 00:07:19,120 --> 00:07:21,560 Speaker 2: my knee faster and it did the opposite help. 133 00:07:22,000 --> 00:07:25,160 Speaker 1: And I said, oh, Josh, I'm in tune already, not 134 00:07:25,240 --> 00:07:28,640 Speaker 1: in tune, tuned already. I was also in tune. And 135 00:07:29,040 --> 00:07:33,040 Speaker 1: I said, that just means she's hungry. So just raise 136 00:07:33,040 --> 00:07:35,480 Speaker 1: your shirt. Yeah, her what she needs. 137 00:07:35,520 --> 00:07:38,600 Speaker 2: That didn't work either. She got like hair in her 138 00:07:38,640 --> 00:07:39,160 Speaker 2: mouth though. 139 00:07:39,320 --> 00:07:42,200 Speaker 1: Oh my god, this got really disturbing very fast. 140 00:07:42,280 --> 00:07:43,960 Speaker 2: Yeah, we got it out. 141 00:07:44,440 --> 00:07:45,559 Speaker 1: What about that cat cry? 142 00:07:46,120 --> 00:07:50,960 Speaker 2: So, there is a a syndrome that's colloquially called I 143 00:07:50,960 --> 00:07:53,720 Speaker 2: think creed a shot cry of the cat in French, 144 00:07:54,320 --> 00:07:57,760 Speaker 2: and it has some similarities to down syndrome. But one 145 00:07:57,800 --> 00:08:00,440 Speaker 2: of the defining characteristics of creed a shot is a 146 00:08:00,520 --> 00:08:04,560 Speaker 2: larynx mauthformation, so that babies, when they cry, like the 147 00:08:04,720 --> 00:08:09,400 Speaker 2: loud screaming cry, have a make us, a very specific 148 00:08:09,440 --> 00:08:12,960 Speaker 2: cry that sounds very much like a cat crying. Yeah, 149 00:08:13,000 --> 00:08:15,600 Speaker 2: if like you can find a couple of videos on 150 00:08:15,680 --> 00:08:18,240 Speaker 2: YouTube of people with their baby with crew to a 151 00:08:18,320 --> 00:08:21,600 Speaker 2: shot of crying, and it's it's really cute in a 152 00:08:21,600 --> 00:08:23,960 Speaker 2: lot of ways. But also you're like, that sounds a 153 00:08:24,000 --> 00:08:26,720 Speaker 2: lot like a cat, And it's so distinct that you 154 00:08:26,720 --> 00:08:31,520 Speaker 2: can actually initially diagnose an infant with crewdishot syndrome because 155 00:08:31,560 --> 00:08:33,200 Speaker 2: of their cry. It's that distinct. 156 00:08:33,840 --> 00:08:37,160 Speaker 1: Yeah, So I mean that's a benefit that can save 157 00:08:37,200 --> 00:08:40,880 Speaker 1: a lot of time and discomfort for this kid and 158 00:08:41,040 --> 00:08:45,120 Speaker 1: diagnosing this kind of condition exactly, it's great. It also 159 00:08:45,360 --> 00:08:49,959 Speaker 1: is a sign obviously when a kid is screaming saying hey, parent, 160 00:08:50,960 --> 00:08:53,560 Speaker 1: go into fight or flight mode because I need something, 161 00:08:54,080 --> 00:08:57,640 Speaker 1: and you know, if it's one of distress, even more 162 00:08:57,679 --> 00:09:00,760 Speaker 1: so obviously and not just like I'm hungry, like beer distress. 163 00:09:01,840 --> 00:09:04,320 Speaker 1: I don't know that we need to discuss fighter flight 164 00:09:04,360 --> 00:09:07,400 Speaker 1: in detail because we did it three hundred and sixty 165 00:09:07,400 --> 00:09:10,320 Speaker 1: four times over the first like five years of the show, right, 166 00:09:10,920 --> 00:09:13,679 Speaker 1: but everyone knows what that is, right, Yeah, I. 167 00:09:13,600 --> 00:09:15,280 Speaker 2: Would think, so, I don't think we really need to 168 00:09:15,320 --> 00:09:16,400 Speaker 2: describe fight or flight. 169 00:09:17,280 --> 00:09:19,560 Speaker 1: You're like, uh, but it's uh, I didn't. 170 00:09:19,600 --> 00:09:26,080 Speaker 2: I stopped myself. I exercise a great restraint. Nice work, Okay, Well, anyway, 171 00:09:26,120 --> 00:09:28,760 Speaker 2: I'll take it from here, Chuck. Yeah, because the reason 172 00:09:28,800 --> 00:09:31,720 Speaker 2: you brought that up is screams activate fireflight mode in 173 00:09:31,760 --> 00:09:35,560 Speaker 2: some really like basic ways, as we'll see. And so 174 00:09:35,640 --> 00:09:38,600 Speaker 2: a scream actually activates in you a human who hears 175 00:09:38,640 --> 00:09:41,880 Speaker 2: a scream, that that readiness to like either spring into 176 00:09:41,960 --> 00:09:46,240 Speaker 2: action or run like hell or freeze or fawn is 177 00:09:46,280 --> 00:09:50,360 Speaker 2: the other one now, because the fight or flight syndromes 178 00:09:50,400 --> 00:09:52,560 Speaker 2: really come a long way since we last talked about it, 179 00:09:52,800 --> 00:09:55,600 Speaker 2: And fawn is the response that you want when a 180 00:09:55,679 --> 00:09:57,920 Speaker 2: baby's crying. You want to go over and be like, oh, 181 00:09:57,960 --> 00:09:58,880 Speaker 2: it's okay. 182 00:09:59,480 --> 00:10:04,280 Speaker 1: Yeah, that's here. Never mind abandoned that line of thought. 183 00:10:05,679 --> 00:10:08,400 Speaker 1: So let's talk about sound for a minute. Because all 184 00:10:08,480 --> 00:10:13,440 Speaker 1: sound comes from and is perceived by us through a 185 00:10:13,520 --> 00:10:18,000 Speaker 1: series of processes in the brain, and most of these 186 00:10:18,160 --> 00:10:21,240 Speaker 1: are in the higher brain region. But screams are different. 187 00:10:21,679 --> 00:10:26,520 Speaker 1: They happen in the lower brain region. And it's a 188 00:10:26,600 --> 00:10:29,000 Speaker 1: very interesting thing. It kind of lives in its own 189 00:10:29,120 --> 00:10:31,839 Speaker 1: as far as like humans making sound lives in its 190 00:10:31,840 --> 00:10:34,199 Speaker 1: own area. It's very distinct from all the other sounds 191 00:10:34,200 --> 00:10:34,560 Speaker 1: we make. 192 00:10:34,679 --> 00:10:38,840 Speaker 2: Yeah, and it's a lot faster to basically activate us 193 00:10:38,920 --> 00:10:41,800 Speaker 2: than the normal speech that we hear. Right, So when 194 00:10:41,840 --> 00:10:45,720 Speaker 2: you talk, when you're making just talk like I am 195 00:10:45,800 --> 00:10:49,480 Speaker 2: right now, say this is a good example. I'm using 196 00:10:49,559 --> 00:10:53,080 Speaker 2: this description as an example in real time. Okay, that's right. 197 00:10:53,160 --> 00:10:56,800 Speaker 2: So I'm using my laryngeal motor cortex that's basically running 198 00:10:56,840 --> 00:11:00,320 Speaker 2: the show right now, and that is a higher brain process. Right, 199 00:11:00,400 --> 00:11:04,360 Speaker 2: So I'm using cognition. I'm figuring out how my mouse 200 00:11:04,360 --> 00:11:08,600 Speaker 2: should move, which also requires fine motor coordination and processing sound. 201 00:11:09,240 --> 00:11:13,080 Speaker 2: I think from our Internal Dialogue episode, I'm doing a 202 00:11:13,120 --> 00:11:16,360 Speaker 2: quick quality check right before I actually say the words 203 00:11:16,679 --> 00:11:19,640 Speaker 2: yeah and Josh exactly, and do I sound like a 204 00:11:19,720 --> 00:11:24,040 Speaker 2: muppety tenor I do, let's go. And then this stuff 205 00:11:24,120 --> 00:11:26,400 Speaker 2: is sent to the brain stem, which basically says, okay, 206 00:11:26,480 --> 00:11:30,040 Speaker 2: laryings and vocal cords and lungs and abdominal muscles, let's talk. 207 00:11:30,520 --> 00:11:33,559 Speaker 2: That's normal speech. And again it requires a lot of 208 00:11:33,640 --> 00:11:39,559 Speaker 2: higher brain processing. Screaming uses a different set of equipment 209 00:11:39,720 --> 00:11:43,720 Speaker 2: to make itself happen. It's nuts because you think screaming 210 00:11:43,800 --> 00:11:47,000 Speaker 2: is a form of speech. It's actually not. Even though 211 00:11:47,040 --> 00:11:50,360 Speaker 2: we use a lot of the same stuff, a lot 212 00:11:50,360 --> 00:11:54,160 Speaker 2: of the same bait and tackle, say like it's its 213 00:11:54,160 --> 00:11:56,560 Speaker 2: own thing, which is I just find this is where 214 00:11:56,559 --> 00:11:58,520 Speaker 2: I'm like, Okay, this is super fascinating. 215 00:11:58,559 --> 00:12:02,960 Speaker 1: Now, yeah, that's right. So for screams, uh, and some 216 00:12:03,080 --> 00:12:07,000 Speaker 1: involuntary vocalizations, but really screams, the sound production takes a 217 00:12:07,040 --> 00:12:10,040 Speaker 1: different and, like you said, a much faster path. The 218 00:12:10,040 --> 00:12:12,880 Speaker 1: signal starts in the limbic system and it skips that 219 00:12:12,960 --> 00:12:18,400 Speaker 1: higher brain processing. Uh. The it happens in the amygdala. Basically, 220 00:12:18,440 --> 00:12:23,040 Speaker 1: the emotional stimulus that the amygdala is all about just 221 00:12:23,080 --> 00:12:25,040 Speaker 1: sends a scream signal. It's it's sort of like a 222 00:12:25,080 --> 00:12:29,719 Speaker 1: direct path, like a express train through that brain stem 223 00:12:30,240 --> 00:12:32,600 Speaker 1: to all the anatomy that you were talking about in 224 00:12:32,679 --> 00:12:35,080 Speaker 1: your in your the you know, the neck junk, and 225 00:12:35,120 --> 00:12:39,120 Speaker 1: that scream just comes out immediately. And the craziest part 226 00:12:39,320 --> 00:12:43,760 Speaker 1: is our body actually picks up on this before our 227 00:12:44,200 --> 00:12:46,800 Speaker 1: ears and brain can even process what we've just heard. 228 00:12:46,960 --> 00:12:50,000 Speaker 2: Yeah, once the scream comes out of someone else, when 229 00:12:50,040 --> 00:12:52,880 Speaker 2: we hear that scream, it puts us in fight or 230 00:12:52,880 --> 00:12:56,160 Speaker 2: flight mode before we're even consciously aware that we have 231 00:12:56,280 --> 00:13:00,160 Speaker 2: heard a scream. That's how that's how finely tuned we 232 00:13:00,200 --> 00:13:03,800 Speaker 2: are too responding to screams, which again, this is something 233 00:13:03,920 --> 00:13:06,160 Speaker 2: you just think exists out there, and then when you 234 00:13:06,200 --> 00:13:08,760 Speaker 2: dig in, you're like, my god. So there's like a 235 00:13:09,679 --> 00:13:14,400 Speaker 2: whole set of processes that take place that again are 236 00:13:14,480 --> 00:13:18,400 Speaker 2: different than how we would respond if we hear regular speech, right, 237 00:13:18,640 --> 00:13:20,960 Speaker 2: So it follows some of the same processes. It hits 238 00:13:20,960 --> 00:13:23,679 Speaker 2: the outer ear, goes through the ear canal, the ear 239 00:13:23,760 --> 00:13:28,080 Speaker 2: drum goes boom boom. That is amplified in the middle ear, 240 00:13:28,160 --> 00:13:30,920 Speaker 2: and that goes onto the cochlia, which triggers a wave 241 00:13:30,960 --> 00:13:33,760 Speaker 2: along the basel or membrane, which says, I'm going to 242 00:13:33,840 --> 00:13:36,280 Speaker 2: turn this into an electrical signal, sends it to the 243 00:13:36,320 --> 00:13:39,280 Speaker 2: auditory nerve, which sends it to the brain stem and 244 00:13:39,320 --> 00:13:42,199 Speaker 2: then to the thalamus. And the thalamus is the sensory 245 00:13:42,600 --> 00:13:45,400 Speaker 2: clearing house. It sends this to that and that to that. 246 00:13:45,679 --> 00:13:48,200 Speaker 2: All of your sensory information goes to the thalamus. And 247 00:13:48,320 --> 00:13:51,920 Speaker 2: here is where it diverges from normal speech. 248 00:13:52,679 --> 00:13:55,599 Speaker 1: Yeah, And I mean that's why when somebody screams, like 249 00:13:55,640 --> 00:13:59,440 Speaker 1: a blood curling scream out in public, you're instantly reacting. 250 00:13:59,440 --> 00:14:02,120 Speaker 1: You don't hear that and then decide like, well, maybe 251 00:14:02,120 --> 00:14:04,280 Speaker 1: I should go see what's going on over there, Like 252 00:14:04,320 --> 00:14:08,120 Speaker 1: your body is instantly reacting because it is unconsciously picked 253 00:14:08,160 --> 00:14:11,240 Speaker 1: up on that screen before it's even registered in your brain. 254 00:14:11,320 --> 00:14:17,079 Speaker 1: So it's really a pretty remarkable sort of evolutionary trait. 255 00:14:17,120 --> 00:14:21,000 Speaker 1: I think, like to help rescue, you know, probably back 256 00:14:21,000 --> 00:14:25,720 Speaker 1: in Tiktook's days, the wife or baby that the husband 257 00:14:25,720 --> 00:14:28,480 Speaker 1: who's out hunting and gathering has to protect from whatever 258 00:14:28,640 --> 00:14:30,440 Speaker 1: dangers are around the fire. 259 00:14:30,680 --> 00:14:33,480 Speaker 2: Yeah, And the reason why that happens is because when 260 00:14:33,520 --> 00:14:36,160 Speaker 2: it hits that balance, it gets sent two different ways. Like, 261 00:14:36,200 --> 00:14:39,520 Speaker 2: it gets sent the normal way to that higher brain processing, 262 00:14:39,800 --> 00:14:42,480 Speaker 2: and when it goes through that higher brain processing, that's 263 00:14:42,520 --> 00:14:45,960 Speaker 2: when you become conscious of hearing that scream. But what's 264 00:14:46,000 --> 00:14:49,200 Speaker 2: happened even faster is it got sent to that amygdala 265 00:14:49,280 --> 00:14:53,560 Speaker 2: and that sent in the fight or flight response, and 266 00:14:53,760 --> 00:14:57,080 Speaker 2: that happened before your higher brain finished processing, which is 267 00:14:57,200 --> 00:15:03,800 Speaker 2: just so there's this own pathway for just screams that 268 00:15:03,200 --> 00:15:09,440 Speaker 2: the human brain has evolved to basically make you able 269 00:15:09,480 --> 00:15:12,880 Speaker 2: to respond to a scream faster. It has its own expressway. 270 00:15:13,320 --> 00:15:16,200 Speaker 2: Screams only essentially, is what it says, and if your 271 00:15:16,440 --> 00:15:20,040 Speaker 2: regular speech you try to use that same expressway. It's 272 00:15:20,080 --> 00:15:23,560 Speaker 2: got those tire bursting spikes that will just stop you 273 00:15:23,680 --> 00:15:27,000 Speaker 2: cold right there, and they'll send you back along the 274 00:15:27,040 --> 00:15:29,160 Speaker 2: way you're supposed to go to the higher brain. 275 00:15:29,640 --> 00:15:31,920 Speaker 1: You go back to talk toown buddy exactly. 276 00:15:32,240 --> 00:15:34,080 Speaker 2: And it's gonna take you a while to get there 277 00:15:34,160 --> 00:15:36,760 Speaker 2: because you don't have tires. You're driving on just rims 278 00:15:36,800 --> 00:15:39,600 Speaker 2: now because you were domin made a poor decision. 279 00:15:40,040 --> 00:15:41,760 Speaker 1: Yeah, and you shouldn't do that because you're gonna damage 280 00:15:41,760 --> 00:15:43,360 Speaker 1: those rims. You need to pull over immediately. 281 00:15:43,400 --> 00:15:43,920 Speaker 2: Yeah. Bad. 282 00:15:44,760 --> 00:15:45,680 Speaker 1: Should we take a break? 283 00:15:46,040 --> 00:15:46,760 Speaker 2: Yeah? I think so. 284 00:15:47,240 --> 00:15:49,280 Speaker 1: All right, we're gonna take a break and come back, 285 00:15:49,320 --> 00:15:52,280 Speaker 1: and Josh is gonna explain something called the roughness domain 286 00:15:52,640 --> 00:15:53,200 Speaker 1: right after this. 287 00:16:27,600 --> 00:16:30,120 Speaker 2: All right, chuck, here we go. Here's the flubbing. 288 00:16:31,120 --> 00:16:33,320 Speaker 1: Okay, well we'll see. It's a little brain breaking, but 289 00:16:34,000 --> 00:16:34,520 Speaker 1: we'll get it. 290 00:16:34,840 --> 00:16:36,720 Speaker 2: I think it's one of those things where if I 291 00:16:37,160 --> 00:16:38,880 Speaker 2: just thought too hard about it and I've made it 292 00:16:38,880 --> 00:16:43,600 Speaker 2: brain breaking. But so, screams have something in common, and 293 00:16:43,640 --> 00:16:47,800 Speaker 2: that is that they exist in a region of human 294 00:16:47,840 --> 00:16:53,400 Speaker 2: perception that's called the roughness domain. Okay, And if you 295 00:16:53,560 --> 00:16:59,720 Speaker 2: take someone's voice right, it has a certain frequency. My 296 00:16:59,800 --> 00:17:02,480 Speaker 2: voice has a certain frequency. You can recognize it as mine. 297 00:17:02,920 --> 00:17:07,040 Speaker 2: But you can take my voice and make it modulate, right, 298 00:17:07,119 --> 00:17:11,560 Speaker 2: So like the British police car that goes. 299 00:17:11,480 --> 00:17:13,399 Speaker 1: Dude, do do do do doo? 300 00:17:13,760 --> 00:17:18,640 Speaker 2: That's modulating right. So it has its own its own frequency, right, 301 00:17:19,200 --> 00:17:23,080 Speaker 2: but you're making it change pitch do do do do? 302 00:17:23,560 --> 00:17:27,280 Speaker 2: So that's a second frequency that it has. And if 303 00:17:27,320 --> 00:17:30,359 Speaker 2: that frequency is between thirty hurts and one hundred and 304 00:17:30,359 --> 00:17:34,400 Speaker 2: fifty hertz, that modulation between up and down or left 305 00:17:34,400 --> 00:17:36,600 Speaker 2: and right, however you want to look at it. That 306 00:17:36,760 --> 00:17:40,280 Speaker 2: is that roughness area. And it also seems to be 307 00:17:40,400 --> 00:17:44,960 Speaker 2: reserved as far as human sounds go, just for screams. 308 00:17:45,800 --> 00:17:48,879 Speaker 1: Yeah, there was a study. They learned this because of 309 00:17:48,920 --> 00:17:49,720 Speaker 1: a study. 310 00:17:49,640 --> 00:17:50,359 Speaker 2: We how'd I do? 311 00:17:51,200 --> 00:17:53,359 Speaker 1: Oh? You'd a great? Okay kid, I'm sorry I didn't 312 00:17:53,680 --> 00:17:54,919 Speaker 1: the customary thank you. 313 00:17:55,720 --> 00:17:57,760 Speaker 2: We usually edit the colaps out. I think we should 314 00:17:57,840 --> 00:17:58,320 Speaker 2: leave that one in. 315 00:17:58,400 --> 00:18:00,479 Speaker 1: Yeah, yeah, let's leave that one in. They know this 316 00:18:00,520 --> 00:18:04,600 Speaker 1: because in twenty fifteen NYU, the neuroscientists, theyre published a 317 00:18:04,640 --> 00:18:11,000 Speaker 1: study supporting this role of amplitude modulation. And the crazy 318 00:18:11,040 --> 00:18:13,960 Speaker 1: part is that the only other sound in that rough 319 00:18:14,000 --> 00:18:18,200 Speaker 1: this domain, like that's the only sound a human can make. 320 00:18:18,359 --> 00:18:22,160 Speaker 1: That's like that. The only other sounds are all artificial alarms. 321 00:18:22,600 --> 00:18:26,040 Speaker 1: So the human screen lives in the roughest domain alongside 322 00:18:26,440 --> 00:18:31,560 Speaker 1: sirens and car alarms and you know, just other other 323 00:18:31,720 --> 00:18:34,600 Speaker 1: like claxon. Maybe what is that? 324 00:18:34,840 --> 00:18:36,400 Speaker 2: Is that the bad guys in Doctor Who? 325 00:18:36,960 --> 00:18:40,480 Speaker 1: I think a claxon is the Eh? 326 00:18:40,520 --> 00:18:42,680 Speaker 2: Oh those are terrible, like pull your credit card out 327 00:18:42,720 --> 00:18:43,639 Speaker 2: of the card terminal. 328 00:18:44,520 --> 00:18:45,399 Speaker 1: Does it actually do that? 329 00:18:45,520 --> 00:18:48,719 Speaker 2: Yes, so they did originally. I think they've kind of stopped, 330 00:18:48,760 --> 00:18:50,320 Speaker 2: but it would used to be really jarring. 331 00:18:51,520 --> 00:18:54,040 Speaker 1: Yeah, I mean, because that's the sound that happens when 332 00:18:54,040 --> 00:18:57,040 Speaker 1: a nuclear facility is melting down. 333 00:18:57,160 --> 00:19:00,159 Speaker 2: Right, forget your credit card, melt on a nuclear facility, 334 00:19:00,480 --> 00:19:01,920 Speaker 2: basically the same thing. 335 00:19:03,040 --> 00:19:04,720 Speaker 1: Yeah, So thanks NYU for that. Right. 336 00:19:04,880 --> 00:19:07,920 Speaker 2: Well, okay, that was just part one of this study. 337 00:19:08,000 --> 00:19:10,880 Speaker 2: This is a really robust study. So they analyzed recorded 338 00:19:10,920 --> 00:19:14,080 Speaker 2: sounds and they found that screams were all in roughness 339 00:19:14,080 --> 00:19:16,840 Speaker 2: and the only other sounds that were in there were alarms. Right. 340 00:19:17,480 --> 00:19:22,080 Speaker 2: Then they got a bunch of volunteers, almost guaranteed NYU 341 00:19:22,160 --> 00:19:25,320 Speaker 2: undergrads looking for extra credit, and they said, we want 342 00:19:25,359 --> 00:19:27,159 Speaker 2: you to make a bunch of sounds. We want you 343 00:19:27,200 --> 00:19:30,120 Speaker 2: to scream, we want you to speak normally, we want 344 00:19:30,160 --> 00:19:34,439 Speaker 2: you to scream speak yeah, and make a bunch of 345 00:19:34,560 --> 00:19:39,280 Speaker 2: meaningless vocalizations like yips, yammers, yelps, that whole thing, right, sure, 346 00:19:39,600 --> 00:19:42,320 Speaker 2: And then they analyzed those just like they analyzed the 347 00:19:42,359 --> 00:19:44,639 Speaker 2: recorded sounds, and they found that all of the scream 348 00:19:44,720 --> 00:19:47,919 Speaker 2: sounds were in the roughness domain, and all of the 349 00:19:48,040 --> 00:19:52,320 Speaker 2: non scream sounds, including yips and yamers, were not in 350 00:19:52,359 --> 00:19:55,800 Speaker 2: the roughness domain whatsoever. So they're really zeroing in. And 351 00:19:55,880 --> 00:19:58,840 Speaker 2: yet there's more to this study. This is how robust 352 00:19:58,880 --> 00:19:59,199 Speaker 2: it was. 353 00:20:00,119 --> 00:20:02,040 Speaker 1: Yeah. So then they said, all right, we got all 354 00:20:02,080 --> 00:20:05,280 Speaker 1: this collection of sounds, neutral sounds is what we'll call, 355 00:20:05,320 --> 00:20:08,000 Speaker 1: the ones that aren't screams, and then the screamy things. 356 00:20:08,440 --> 00:20:11,840 Speaker 1: And they brought in some other volunteers, other NYU students 357 00:20:11,920 --> 00:20:14,359 Speaker 1: for sure, and said, all right, we want you to 358 00:20:14,440 --> 00:20:17,119 Speaker 1: rate the scariness like maybe on a one to ten, 359 00:20:17,280 --> 00:20:19,679 Speaker 1: one to five, who knows what they used, maybe a 360 00:20:19,800 --> 00:20:23,280 Speaker 1: Yelp star system, and they said, rate the scariness of 361 00:20:23,320 --> 00:20:26,960 Speaker 1: the sounds. All the sounds in the roughness domain. This 362 00:20:27,000 --> 00:20:29,879 Speaker 1: is pretty obvious. We're rated as scarier than the neutral sounds. 363 00:20:30,680 --> 00:20:32,960 Speaker 1: And the sounds that were rated the scariest were the 364 00:20:32,960 --> 00:20:35,119 Speaker 1: ones that were highest on the roughness scale. 365 00:20:35,240 --> 00:20:37,920 Speaker 2: All makes sense, right, So they're really drilling down here. 366 00:20:38,000 --> 00:20:43,040 Speaker 2: It keeps going, everybody. They actually took volunteers, probably the 367 00:20:43,080 --> 00:20:45,760 Speaker 2: same ones who rated the scariness of the sounds, and 368 00:20:45,800 --> 00:20:48,720 Speaker 2: they scanned them while they were listening to scary sounds 369 00:20:49,040 --> 00:20:52,240 Speaker 2: and not just screamed but also the artificial alarms too, 370 00:20:52,720 --> 00:20:56,800 Speaker 2: and probably some of the nonsense sounds and musical sounds, 371 00:20:57,400 --> 00:21:01,320 Speaker 2: And as they were listening, the scream and the alarms 372 00:21:01,359 --> 00:21:04,800 Speaker 2: were the only ones that cause spikes in the amygdala. Remember, 373 00:21:04,840 --> 00:21:09,520 Speaker 2: the amygdala is where that set aside pathway for screams is, 374 00:21:10,359 --> 00:21:13,320 Speaker 2: and that the higher on the roughness scale, if you 375 00:21:13,320 --> 00:21:15,280 Speaker 2: can call it that, that the screams or alarms were, 376 00:21:15,600 --> 00:21:19,960 Speaker 2: the greater the amygdala activity, and then the greater the 377 00:21:20,000 --> 00:21:23,760 Speaker 2: amygdala activity that was shown in the scans, the higher 378 00:21:24,000 --> 00:21:28,600 Speaker 2: those sounds had been rated for scariness by the volunteers previously. 379 00:21:29,119 --> 00:21:31,200 Speaker 2: And when they wrapped it up and put all this together, 380 00:21:31,720 --> 00:21:34,000 Speaker 2: they were like, I forgot what we were studying in 381 00:21:34,040 --> 00:21:34,800 Speaker 2: the first place. 382 00:21:38,280 --> 00:21:43,280 Speaker 1: So the upshot, to borrow a term from Josh, is 383 00:21:43,320 --> 00:21:49,800 Speaker 1: that it seems like humans are specifically attuned and our 384 00:21:49,800 --> 00:21:54,160 Speaker 1: amygdala is specifically activated by the sound of a scream, 385 00:21:55,080 --> 00:21:58,480 Speaker 1: to say like, hey, it's time to panic or it's 386 00:21:58,520 --> 00:22:01,800 Speaker 1: time to kick into high gear. They found that this 387 00:22:01,960 --> 00:22:06,120 Speaker 1: works if you're awake or asleep. Yeah, at the rough 388 00:22:06,200 --> 00:22:08,760 Speaker 1: vocalizations and that rough domain that we were talking about 389 00:22:08,800 --> 00:22:14,320 Speaker 1: penetrate human sleep cycles more than neutral vocalizations. And that's 390 00:22:14,359 --> 00:22:18,040 Speaker 1: not to say that like, yeah, of course it's louder, dummy. 391 00:22:18,200 --> 00:22:20,439 Speaker 1: We're not talking about decibels here, We're talking about a 392 00:22:20,520 --> 00:22:24,040 Speaker 1: frequency range. Like I think what they're saying and correct 393 00:22:24,080 --> 00:22:26,479 Speaker 1: me if I'm wrong, is that is that a scream 394 00:22:26,520 --> 00:22:28,439 Speaker 1: that might be the same decibel level as like a 395 00:22:28,480 --> 00:22:31,879 Speaker 1: really loud talk will penetrate that sleep cycle unlike that 396 00:22:31,920 --> 00:22:32,600 Speaker 1: really loud talk. 397 00:22:32,760 --> 00:22:35,879 Speaker 2: Yes, And they think it's because the amygdala is tuned 398 00:22:35,920 --> 00:22:38,760 Speaker 2: to that thirty to one hundred and fifty hertz rightness band. 399 00:22:39,280 --> 00:22:42,199 Speaker 2: So the amygdala has its own route for getting you 400 00:22:42,280 --> 00:22:45,760 Speaker 2: aroused and not necessarily in the best way when you 401 00:22:45,840 --> 00:22:48,359 Speaker 2: hear a scream, and it's also listening out to a 402 00:22:48,400 --> 00:22:55,280 Speaker 2: specific band of modulation to that screams existence. So clearly, 403 00:22:55,520 --> 00:22:59,919 Speaker 2: thanks to our NYU researchers back in twenty fifteen, scream 404 00:23:00,119 --> 00:23:03,520 Speaker 2: are a really important and kind of overlooked part of 405 00:23:03,680 --> 00:23:08,600 Speaker 2: human speech right, and yeah for sure, and they think also, Chuck, 406 00:23:08,640 --> 00:23:13,520 Speaker 2: that not only has like have we evolved to develop 407 00:23:13,600 --> 00:23:17,120 Speaker 2: this alarm system, which clearly is what it is, because 408 00:23:17,280 --> 00:23:20,360 Speaker 2: not only you're saying help, you're also, depending on how 409 00:23:20,560 --> 00:23:24,359 Speaker 2: nice or altruistic the people listening are, you're also saying 410 00:23:25,080 --> 00:23:27,440 Speaker 2: look out, there's danger, and they may run away if 411 00:23:27,440 --> 00:23:30,400 Speaker 2: they're flee or they might run to you to help 412 00:23:30,400 --> 00:23:33,159 Speaker 2: you if they're ready to fight. But they also have 413 00:23:33,280 --> 00:23:36,399 Speaker 2: shown that screams have evolved in other ways too, Like 414 00:23:36,440 --> 00:23:40,000 Speaker 2: we don't scream just out of an alarm system anymore. 415 00:23:40,119 --> 00:23:43,160 Speaker 2: There's actually at least six other screams that they discovered 416 00:23:43,359 --> 00:23:47,440 Speaker 2: that correlate or correspond to six other separate emotions. 417 00:23:47,800 --> 00:23:49,960 Speaker 1: Yeah, anger, of course is going to be one you 418 00:23:49,960 --> 00:23:51,640 Speaker 1: can scream at somebody in traffic. 419 00:23:51,800 --> 00:23:56,679 Speaker 2: There's a europe song called scream of Anger. Really in Europe, 420 00:23:56,680 --> 00:23:58,240 Speaker 2: of course, is known for a different song. 421 00:23:59,520 --> 00:24:03,200 Speaker 1: Yeah, but you know what I heard? Oh what was it? 422 00:24:03,240 --> 00:24:05,680 Speaker 1: That other europe song I forgot about the other day 423 00:24:06,119 --> 00:24:10,480 Speaker 1: on hair Nation on serious except OK, which I'm still 424 00:24:10,520 --> 00:24:12,840 Speaker 1: pounding by the way, I can't get away from it. 425 00:24:12,920 --> 00:24:15,359 Speaker 1: I'm so back into the hair metal. It's really funny 426 00:24:15,400 --> 00:24:19,399 Speaker 1: that's awesome. What was it? Keep on walking that road 427 00:24:19,640 --> 00:24:26,760 Speaker 1: and I'll follow. Yeah, and if a mirror shit break, superstitious. 428 00:24:27,200 --> 00:24:28,159 Speaker 2: That was Europe. 429 00:24:28,640 --> 00:24:30,879 Speaker 1: Yeah, that was Europe. That was another big song besides 430 00:24:30,960 --> 00:24:32,000 Speaker 1: Final Countdown. 431 00:24:32,119 --> 00:24:34,879 Speaker 2: Okay, well so Scream of It it's a great song. Okay, 432 00:24:35,040 --> 00:24:40,520 Speaker 2: Scream of Anger is even better. It's like actual metal tinge. 433 00:24:39,320 --> 00:24:42,120 Speaker 1: Oh yeah, yeah, yeah, you just made me think of Europe. 434 00:24:42,320 --> 00:24:45,680 Speaker 1: They're They're definitely not screamers. They had voices of angels. 435 00:24:45,920 --> 00:24:48,879 Speaker 1: They did obviously screaming fear, which is kind of one 436 00:24:48,920 --> 00:24:51,600 Speaker 1: of the things we've been talking about. Screaming in pain. 437 00:24:52,359 --> 00:24:55,760 Speaker 1: That's something that I have never experienced. I've been I've 438 00:24:56,040 --> 00:24:59,920 Speaker 1: felt great deals of physical pain, but I'm very internal. 439 00:25:00,080 --> 00:25:04,080 Speaker 1: I kind of go inward. But I've been to emergency rooms, 440 00:25:04,200 --> 00:25:07,040 Speaker 1: and a screamer in an emergency room is a very 441 00:25:07,480 --> 00:25:08,960 Speaker 1: unsettling situation. 442 00:25:09,080 --> 00:25:12,879 Speaker 2: Yeah, for sure. The one I always associate with that 443 00:25:13,000 --> 00:25:15,199 Speaker 2: is Tom Berenger telling that guy who got shot in 444 00:25:15,240 --> 00:25:17,000 Speaker 2: the gut and platoon to eat the pain. 445 00:25:18,720 --> 00:25:20,200 Speaker 1: Uh yeah, that's right. 446 00:25:20,280 --> 00:25:22,200 Speaker 2: That guy was definitely screaming in pain. 447 00:25:22,800 --> 00:25:25,680 Speaker 1: Yeah. Yeah, he put his hand over his mouth, was 448 00:25:25,720 --> 00:25:27,000 Speaker 1: that j Yeah. 449 00:25:27,200 --> 00:25:32,040 Speaker 2: So there's also this one's great scream of extreme joy. 450 00:25:32,720 --> 00:25:33,639 Speaker 1: Yeah, like at a concert. 451 00:25:33,640 --> 00:25:37,919 Speaker 2: Maybe, sure, that's one. Or if you watch The Simpsons 452 00:25:38,000 --> 00:25:40,400 Speaker 2: and go back and watch I think the murder House 453 00:25:40,440 --> 00:25:43,480 Speaker 2: episode where Marge is a real estate agent selling a 454 00:25:43,560 --> 00:25:47,280 Speaker 2: murder house to Ned Flanders. You hear a terrible scream 455 00:25:47,280 --> 00:25:49,960 Speaker 2: and it turns out it's Ned Flanders screaming in joy 456 00:25:50,000 --> 00:25:53,919 Speaker 2: because there's purple drapes in the house. It's great. Just 457 00:25:53,960 --> 00:25:56,080 Speaker 2: go look it up. It's like a tense, pretty good clip. 458 00:25:57,040 --> 00:25:58,760 Speaker 1: I guess you know we're not going to dance around this. 459 00:25:58,760 --> 00:26:03,320 Speaker 1: We're adults here, obviously during intercourse and orgasm can produce 460 00:26:04,600 --> 00:26:06,240 Speaker 1: quite a scream, I'm told. 461 00:26:06,480 --> 00:26:09,040 Speaker 2: Yeah, next to that, I just have an ellipse. 462 00:26:09,240 --> 00:26:14,520 Speaker 1: Right, intense pleasure, so you know that extreme joy and 463 00:26:14,560 --> 00:26:17,560 Speaker 1: intense pleasure probably encapsulates both of those if you're doing 464 00:26:17,560 --> 00:26:21,480 Speaker 1: it right. And then a scream of sadness, and I 465 00:26:21,480 --> 00:26:24,040 Speaker 1: guess this is just like wailing. 466 00:26:24,160 --> 00:26:27,119 Speaker 2: Plus yeah, I feel like this one may have just 467 00:26:27,160 --> 00:26:29,920 Speaker 2: been mislabeled because I think you can make a case 468 00:26:29,960 --> 00:26:32,119 Speaker 2: that what they're describing here is actually a scream of 469 00:26:32,160 --> 00:26:36,320 Speaker 2: emotional pain, not physical pain. Emotional pain and. 470 00:26:36,400 --> 00:26:37,520 Speaker 1: What's the sadness? Is right. 471 00:26:38,040 --> 00:26:40,440 Speaker 2: Yeah, I guess so so sure. I mean, maybe it's 472 00:26:40,520 --> 00:26:43,680 Speaker 2: just me that was like, no, that's wrong. A really 473 00:26:43,680 --> 00:26:46,520 Speaker 2: good example of it as far as movies go, is 474 00:26:46,640 --> 00:26:48,600 Speaker 2: Tony Collette in Hereditary. 475 00:26:48,960 --> 00:26:49,920 Speaker 1: Oh God, she. 476 00:26:49,880 --> 00:26:53,560 Speaker 2: Finds out that her daughter has died. It's yeah, wrenching 477 00:26:53,640 --> 00:26:56,960 Speaker 2: the work she does, like like, oh my god, it's 478 00:26:57,080 --> 00:26:59,400 Speaker 2: really tough to watch, and of course it's all over 479 00:26:59,440 --> 00:27:00,000 Speaker 2: the internet. 480 00:27:00,800 --> 00:27:03,800 Speaker 1: I am about to say something I thought I would 481 00:27:03,800 --> 00:27:05,520 Speaker 1: never say. I think I would like to see that 482 00:27:05,600 --> 00:27:06,080 Speaker 1: movie again. 483 00:27:06,920 --> 00:27:08,840 Speaker 2: Oh what did you not like it the first time? 484 00:27:09,480 --> 00:27:11,480 Speaker 1: I loved it, but it was it's a tough movie. 485 00:27:11,560 --> 00:27:13,960 Speaker 1: Oh it was one of those where I was like, wow, 486 00:27:14,440 --> 00:27:16,080 Speaker 1: that was amazing. But I don't think I need to 487 00:27:16,119 --> 00:27:17,680 Speaker 1: see that ever again. But I think I might want 488 00:27:17,720 --> 00:27:18,960 Speaker 1: to because it was really that great. 489 00:27:19,080 --> 00:27:22,359 Speaker 2: I've seen people here there describe it as potentially the 490 00:27:22,520 --> 00:27:24,400 Speaker 2: darkest dark comedy around. 491 00:27:24,960 --> 00:27:25,680 Speaker 1: Oh interesting. 492 00:27:25,760 --> 00:27:27,639 Speaker 2: And there's there's this one part that I think kind 493 00:27:27,680 --> 00:27:30,120 Speaker 2: of supports it. Do you remember the part where Steven 494 00:27:30,359 --> 00:27:33,160 Speaker 2: is in the classroom and he messes himself up pretty good? 495 00:27:33,960 --> 00:27:36,600 Speaker 1: Mmmm, it's been a while, but yeah, sort of. 496 00:27:37,160 --> 00:27:40,280 Speaker 2: Yeah, it's I mean, it's really good. I've seen it. 497 00:27:40,320 --> 00:27:42,359 Speaker 2: I think just a couple of times, but the second 498 00:27:42,359 --> 00:27:45,040 Speaker 2: time I saw it was not too long ago. But Chuck, 499 00:27:45,600 --> 00:27:50,119 Speaker 2: please please watch Saint Maud. As far as a twenty 500 00:27:50,119 --> 00:27:52,879 Speaker 2: four horror movies go, that's one of the more overlooked ones. 501 00:27:53,000 --> 00:27:56,520 Speaker 2: It is off the chain. It's so good and it's 502 00:27:56,600 --> 00:27:57,720 Speaker 2: just so nuts. Man. 503 00:27:58,880 --> 00:28:00,479 Speaker 1: Uh, why have I heard of that? 504 00:28:00,600 --> 00:28:02,640 Speaker 2: Is that I've told you to watch this before? I think, yeah, 505 00:28:02,640 --> 00:28:04,359 Speaker 2: And I don't think you watched it, because you would 506 00:28:04,359 --> 00:28:05,760 Speaker 2: have definitely come back and been like. 507 00:28:05,760 --> 00:28:11,800 Speaker 1: Dude, okay, Saint Lawed. That's all I need to say. Okay, dude. Yeah, 508 00:28:11,840 --> 00:28:14,160 Speaker 1: Well it's a British org. I'm all about those. 509 00:28:14,440 --> 00:28:16,720 Speaker 2: It's good. There's it's rough though, like this is not 510 00:28:16,800 --> 00:28:19,720 Speaker 2: for kids, and there's you know, really upsetting stuff throughout. 511 00:28:19,880 --> 00:28:26,600 Speaker 1: So just FYI, all right, So back to screaming. Obviously, rage, fear, pain. 512 00:28:26,680 --> 00:28:30,560 Speaker 1: These are alarm screams. The non alarm screams, Like we 513 00:28:30,600 --> 00:28:34,760 Speaker 1: talked about, the joy, intense pleasure. I don't think I'll 514 00:28:34,760 --> 00:28:36,840 Speaker 1: throw sadness in there, because that can be alarm. But 515 00:28:36,880 --> 00:28:40,479 Speaker 1: those aren't things that you will find in the animal Kingdom. 516 00:28:40,640 --> 00:28:45,360 Speaker 1: It is a distinctly uniquely human instinct to signal something 517 00:28:45,400 --> 00:28:48,680 Speaker 1: positive with the scream. Animals don't scream out in joy. 518 00:28:48,440 --> 00:28:51,480 Speaker 2: No, but we do think that some non human primates 519 00:28:51,520 --> 00:28:53,480 Speaker 2: scream out in grief though. Isn't that awful? 520 00:28:53,560 --> 00:28:55,480 Speaker 1: Oh man, Yeah, I. 521 00:28:55,400 --> 00:28:58,239 Speaker 2: Think that's a great way to end this section and 522 00:28:58,360 --> 00:29:00,240 Speaker 2: start with the ad break. What do you think? 523 00:29:01,000 --> 00:29:37,120 Speaker 1: Yeah, let's do it and things all right, So back 524 00:29:37,120 --> 00:29:39,760 Speaker 1: to screaming. I was I was afraid you're gonna scream. 525 00:29:39,520 --> 00:29:41,000 Speaker 2: At one point. 526 00:29:41,080 --> 00:29:43,640 Speaker 1: Not something we're gonna do. I can't remember the last 527 00:29:43,640 --> 00:29:47,240 Speaker 1: time I tried to scream. Yeah, like just like as 528 00:29:47,280 --> 00:29:49,520 Speaker 1: a like, Hey, what's your scream sound like at a 529 00:29:49,560 --> 00:29:53,800 Speaker 1: party or something? You know, that old party trick? And 530 00:29:53,880 --> 00:29:57,400 Speaker 1: I wonder, like I always think of, like the best 531 00:29:57,400 --> 00:30:01,920 Speaker 1: scream I've ever heard is probably from American movie, the 532 00:30:02,000 --> 00:30:07,560 Speaker 1: documentary you saw that, right, No, the American movie. It 533 00:30:07,600 --> 00:30:10,400 Speaker 1: was about the the guys in Wisconsin making the low 534 00:30:10,400 --> 00:30:13,040 Speaker 1: budget horror movie. That's why I would say Covin because 535 00:30:13,040 --> 00:30:14,000 Speaker 1: he pronounced it covin. 536 00:30:14,280 --> 00:30:16,320 Speaker 2: I never saw that. I know what you're talking about 537 00:30:16,320 --> 00:30:17,080 Speaker 2: is worth seeing. 538 00:30:18,080 --> 00:30:20,400 Speaker 1: Yeah, Oh, it's one of the great great documentaries of 539 00:30:20,440 --> 00:30:24,200 Speaker 1: all time. Highly recommend it. But Mike Shank rest in peace, 540 00:30:24,280 --> 00:30:28,800 Speaker 1: Mike has leftist very sadly. There's one part in there 541 00:30:29,400 --> 00:30:34,239 Speaker 1: where the main guy is trying to record screams for 542 00:30:34,280 --> 00:30:37,800 Speaker 1: his low budget horror film he's making in the studio, 543 00:30:37,960 --> 00:30:42,720 Speaker 1: and Mike shank was this very very low key friend 544 00:30:42,760 --> 00:30:46,440 Speaker 1: of his out of nowhere else send you the clip 545 00:30:46,480 --> 00:30:51,320 Speaker 1: produces the most blood curdling scream I've ever heard in 546 00:30:51,360 --> 00:30:54,480 Speaker 1: my life. It's incredible, definitely, and one of the funnier 547 00:30:54,520 --> 00:30:57,680 Speaker 1: parts of that too, because nobody saw it coming, including 548 00:30:57,720 --> 00:31:00,480 Speaker 1: his friend, and his reaction is great and it's just 549 00:31:00,520 --> 00:31:01,640 Speaker 1: one of the great parts of that movie. 550 00:31:01,680 --> 00:31:04,480 Speaker 2: Well, me and everybody listening will definitely see it coming. Now. 551 00:31:05,760 --> 00:31:08,840 Speaker 1: Oh it's yeah, I guess that is a little bit spoiler, 552 00:31:08,880 --> 00:31:11,000 Speaker 1: but it's a twenty year old documentary. 553 00:31:10,480 --> 00:31:11,920 Speaker 2: So all right, I'll watch it though. 554 00:31:11,960 --> 00:31:15,560 Speaker 1: Okay, if you watch t Et goes Home to everybody. 555 00:31:16,600 --> 00:31:21,240 Speaker 2: Okay. So there's a name that's been kind of bestowed 556 00:31:21,280 --> 00:31:25,320 Speaker 2: on some actresses over the years, which is scream Queen. 557 00:31:25,960 --> 00:31:26,280 Speaker 1: Yeah. 558 00:31:26,360 --> 00:31:29,760 Speaker 2: I always associate that with Jamie Lee Curtis, who got 559 00:31:29,760 --> 00:31:33,440 Speaker 2: that from Halloween and prom Night. It actually dates back 560 00:31:33,520 --> 00:31:37,520 Speaker 2: like fifty plus years before Halloween with Fay Ray when 561 00:31:37,520 --> 00:31:40,920 Speaker 2: she was in King Kong. In nineteen thirty three. Apparently 562 00:31:41,000 --> 00:31:43,360 Speaker 2: I've not seen the original King Kong, but her screams 563 00:31:43,400 --> 00:31:47,240 Speaker 2: are supposedly really terrifying, and they did them all in 564 00:31:47,280 --> 00:31:50,600 Speaker 2: post production, like apparently American movie, and then they mixed 565 00:31:50,640 --> 00:31:53,720 Speaker 2: them together to just make them as disturbing as possible. 566 00:31:53,920 --> 00:31:57,040 Speaker 2: But Fay Ray, the nineteen thirties actress, was the original 567 00:31:57,080 --> 00:31:57,800 Speaker 2: scream queen. 568 00:31:58,640 --> 00:32:01,880 Speaker 1: That's right. It's a pretty good screw. Not nearly as 569 00:32:01,960 --> 00:32:04,920 Speaker 1: chilling as Mike Shanks, but it was nineteen thirty three. 570 00:32:04,960 --> 00:32:08,240 Speaker 1: They did a pretty good job. You usually associate it 571 00:32:08,280 --> 00:32:12,720 Speaker 1: with like a scream queen, like you know, it's usually 572 00:32:12,720 --> 00:32:14,680 Speaker 1: a woman screaming in a horror movie. That's just sort 573 00:32:14,680 --> 00:32:18,080 Speaker 1: of the trope. But there have been some notable man screams. 574 00:32:18,800 --> 00:32:22,320 Speaker 1: James concert Lam mentioned earlier from Misery, but another that 575 00:32:22,840 --> 00:32:25,400 Speaker 1: was done in post production, but it is so great. 576 00:32:26,000 --> 00:32:28,120 Speaker 1: You should just check out this clip on YouTube. Is 577 00:32:28,120 --> 00:32:31,720 Speaker 1: that the chilling ending of Invasion of the Body Snatchers 578 00:32:31,720 --> 00:32:35,560 Speaker 1: from nineteen seventy eight with Donald Sutherland. And you know 579 00:32:35,640 --> 00:32:38,000 Speaker 1: who was in charge of that scream? My friend, you 580 00:32:38,120 --> 00:32:41,360 Speaker 1: probably looked this up, but it's our old pal from 581 00:32:41,440 --> 00:32:45,000 Speaker 1: Star Wars, oh, who was hitting that high tension wire 582 00:32:45,040 --> 00:32:47,560 Speaker 1: with a wrench. Ben Burt. 583 00:32:47,960 --> 00:32:49,959 Speaker 2: Yeah, he was just a legend, wasn't he. 584 00:32:50,560 --> 00:32:53,600 Speaker 1: Yeah, apparently this was layering pig squeals on top of 585 00:32:53,640 --> 00:32:57,800 Speaker 1: each other. And it's a sort of a classic ending 586 00:32:57,840 --> 00:33:00,480 Speaker 1: to that movie because that is the same that the 587 00:33:01,040 --> 00:33:04,960 Speaker 1: pod people make when they see a human. And well, 588 00:33:05,040 --> 00:33:06,840 Speaker 1: I mean, I guess this is all spoiler stuff, but 589 00:33:06,880 --> 00:33:10,480 Speaker 1: it's from nineteen seventy eight. Donald Sutherland makes that sound 590 00:33:10,480 --> 00:33:14,920 Speaker 1: at the end when he sees a human, indicating chillingly 591 00:33:15,000 --> 00:33:16,600 Speaker 1: that he is now a pod person. 592 00:33:16,680 --> 00:33:18,880 Speaker 2: Yeah, so keep an eye on Donald Sutherland when you 593 00:33:18,920 --> 00:33:20,560 Speaker 2: watch that movie for the first time. 594 00:33:21,240 --> 00:33:21,800 Speaker 1: Yeah, for sure. 595 00:33:21,840 --> 00:33:26,280 Speaker 2: There's a couple others. Thomas Jane gives a really terrible 596 00:33:26,760 --> 00:33:29,560 Speaker 2: scream at the end of The Mist, which has one 597 00:33:29,600 --> 00:33:36,280 Speaker 2: of the unsettling endings I think of any movie ever, 598 00:33:36,520 --> 00:33:40,280 Speaker 2: maybe tied with it Comes in the Night, which is 599 00:33:40,320 --> 00:33:43,920 Speaker 2: another really unsettling a twenty four movie. Bruce Campbell he's 600 00:33:43,960 --> 00:33:47,160 Speaker 2: a great man, screamer, I guess, scream king. 601 00:33:48,000 --> 00:33:50,480 Speaker 1: He does everything great and then justin. 602 00:33:50,400 --> 00:33:53,200 Speaker 2: Long He's definitely he's been in like way more horror 603 00:33:53,200 --> 00:33:55,640 Speaker 2: movies than you would think, but he I'm pretty sure 604 00:33:55,680 --> 00:33:59,400 Speaker 2: he screams pretty well in Barbarian Man. And then also 605 00:34:00,120 --> 00:34:02,480 Speaker 2: I can't help but bring up since I mentioned Justin Long, 606 00:34:02,640 --> 00:34:05,360 Speaker 2: He's in a new movie called Coyotes, which is a 607 00:34:05,360 --> 00:34:08,600 Speaker 2: horror comedy about coyotes going on a rampage. And it 608 00:34:08,719 --> 00:34:10,920 Speaker 2: just so happens that my niece, Mela Harris is in 609 00:34:10,960 --> 00:34:14,920 Speaker 2: that movie too. She plays his and Kate Bosworth's daughter. 610 00:34:15,640 --> 00:34:20,640 Speaker 1: Oh that's great. I love that. The odd connection of 611 00:34:21,840 --> 00:34:24,800 Speaker 1: Justin Long and Hodgman. Of course with the mac Apple 612 00:34:24,800 --> 00:34:27,319 Speaker 1: commercials for sure. When I was out in New York 613 00:34:27,360 --> 00:34:29,200 Speaker 1: that time, after hanging out with Hodgman, you and I 614 00:34:29,280 --> 00:34:31,400 Speaker 1: think went to a thing with him. Then later that 615 00:34:31,480 --> 00:34:35,320 Speaker 1: night I saw Justin Long out, Oh weird, and I 616 00:34:35,480 --> 00:34:37,239 Speaker 1: had to say something to him. I was like, you know, 617 00:34:37,320 --> 00:34:38,719 Speaker 1: John's a friend of mine. I was just hanging out 618 00:34:38,719 --> 00:34:42,120 Speaker 1: with him. It's funny that I saw you. And he said, well, Mela, 619 00:34:42,480 --> 00:34:44,200 Speaker 1: Josh's future niece is right behind me. 620 00:34:44,440 --> 00:34:45,120 Speaker 2: That's awesome. 621 00:34:45,680 --> 00:34:46,319 Speaker 1: It was very funny. 622 00:34:46,360 --> 00:34:48,200 Speaker 2: Thanks for a circling back like though. That was really 623 00:34:48,280 --> 00:34:49,520 Speaker 2: kind of course. 624 00:34:49,760 --> 00:34:52,120 Speaker 1: And then you know we have to also give a 625 00:34:52,320 --> 00:34:55,760 Speaker 1: do to the a couple more scream queens. Very famously 626 00:34:55,840 --> 00:34:58,800 Speaker 1: Janet Lee and Psycho and you got to talk about 627 00:34:58,800 --> 00:35:00,959 Speaker 1: Nev Campbell in the movie Scream. 628 00:35:01,120 --> 00:35:03,400 Speaker 2: Yes, And I would make an assertion that Mia Goth 629 00:35:03,640 --> 00:35:06,560 Speaker 2: is the current Scream queen from the Maxazine trilogy. 630 00:35:06,760 --> 00:35:07,680 Speaker 1: I think she's great. 631 00:35:07,760 --> 00:35:09,439 Speaker 2: He's the one killing it right now. 632 00:35:09,960 --> 00:35:12,560 Speaker 1: Yeah, she's awesome. And speaking of Scream, and I'm only 633 00:35:13,560 --> 00:35:18,160 Speaker 1: plugging an old movie crush because guest Nate Bargetzi is 634 00:35:18,239 --> 00:35:20,200 Speaker 1: now the biggest comedian on planet Earth. 635 00:35:20,360 --> 00:35:21,240 Speaker 2: I know it's so great. 636 00:35:21,920 --> 00:35:24,399 Speaker 1: But I had Nate on because I was a fan 637 00:35:24,440 --> 00:35:26,360 Speaker 1: of Nate's very early on and I just wanted to 638 00:35:26,360 --> 00:35:29,200 Speaker 1: meet Nate. So I drove to Nashville and had Nate on, 639 00:35:29,400 --> 00:35:31,760 Speaker 1: and his movie crush pick was Scream. 640 00:35:31,960 --> 00:35:33,080 Speaker 2: Did he know you were coming? 641 00:35:34,320 --> 00:35:36,480 Speaker 1: Yeah? I took cornered him in a studio and he's like, 642 00:35:36,480 --> 00:35:37,040 Speaker 1: who's this guy? 643 00:35:37,080 --> 00:35:39,359 Speaker 2: He's such a good guy too, man, It's like his 644 00:35:39,440 --> 00:35:42,319 Speaker 2: comedy's perfect, like he's it's I'm just really happy that 645 00:35:42,360 --> 00:35:43,640 Speaker 2: he's so huge now. 646 00:35:44,239 --> 00:35:46,960 Speaker 1: He's a great guy and super super nice in person, 647 00:35:47,719 --> 00:35:49,719 Speaker 1: and I'm sure he is still that way even now 648 00:35:49,719 --> 00:35:51,520 Speaker 1: that he's super famous. He seems like he's still a 649 00:35:51,520 --> 00:35:53,880 Speaker 1: great guy. But Nate was very charming guests, So you 650 00:35:53,920 --> 00:35:55,239 Speaker 1: can if you want to. If you're a big fan 651 00:35:55,280 --> 00:35:57,080 Speaker 1: of Nate's now and you want to hear him talk 652 00:35:57,120 --> 00:35:59,200 Speaker 1: to me, you can check out that old movie crush. 653 00:35:59,280 --> 00:36:01,640 Speaker 2: Don't just check out that old movie crush, check out 654 00:36:01,680 --> 00:36:04,839 Speaker 2: all the movie crushes because they are all priceless gems. 655 00:36:05,160 --> 00:36:07,839 Speaker 1: Yeah, I definitely missed that show, but you know, some 656 00:36:07,920 --> 00:36:11,080 Speaker 1: things just have to be retired eventually. 657 00:36:10,760 --> 00:36:14,839 Speaker 2: Exactly, Chuck, So did you mention death metal? I thought 658 00:36:14,880 --> 00:36:15,279 Speaker 2: you did. 659 00:36:17,000 --> 00:36:20,480 Speaker 1: I don't think so, but that's obviously a place where 660 00:36:20,520 --> 00:36:22,799 Speaker 1: screaming can be a profession in a way. 661 00:36:23,239 --> 00:36:27,000 Speaker 2: So yeah, So, the University of Utah conducted these tests 662 00:36:27,000 --> 00:36:30,000 Speaker 2: where they took dynamic MRI, so like you don't have 663 00:36:30,080 --> 00:36:32,799 Speaker 2: to just be laying down still to get an MRI 664 00:36:33,000 --> 00:36:36,080 Speaker 2: image of a person. They took MRIs of a guy 665 00:36:36,160 --> 00:36:38,799 Speaker 2: named Will Ramos who's a death core singer for a 666 00:36:38,840 --> 00:36:43,760 Speaker 2: band called Lorna Shore, and he is extraordinarily talented. Whether 667 00:36:43,800 --> 00:36:46,759 Speaker 2: you like death core or can't stand death cores, go 668 00:36:46,880 --> 00:36:49,680 Speaker 2: look up to the hell Fire the Lorna Shore video 669 00:36:50,080 --> 00:36:53,719 Speaker 2: and his range of the work he does with screaming, 670 00:36:53,840 --> 00:36:58,200 Speaker 2: like death core screaming is you can't help but be impressed. 671 00:36:58,239 --> 00:37:00,399 Speaker 2: He's really good, right, so they got a really good 672 00:37:01,000 --> 00:37:04,719 Speaker 2: person to study, because not only is he really good 673 00:37:04,719 --> 00:37:10,880 Speaker 2: at screaming deathcore wise or death metal wise, his vocal junk, 674 00:37:10,920 --> 00:37:15,400 Speaker 2: his neck junk is like entirely intact, like it's really healthy. 675 00:37:15,719 --> 00:37:17,960 Speaker 2: He's been doing this for years and he hasn't done 676 00:37:18,000 --> 00:37:20,920 Speaker 2: any damage. So these University of Utah researchers are like, 677 00:37:20,960 --> 00:37:24,160 Speaker 2: what are you doing? Can we take MRIs of you singing? 678 00:37:24,680 --> 00:37:27,719 Speaker 2: And they did, and it's really cool because the one 679 00:37:27,760 --> 00:37:31,120 Speaker 2: of him just singing normally, you can barely see any 680 00:37:31,160 --> 00:37:36,279 Speaker 2: movement inside the neck. Right when he screams, it just 681 00:37:36,480 --> 00:37:40,080 Speaker 2: is chaos in there. And apparently people who know what 682 00:37:40,120 --> 00:37:42,200 Speaker 2: the anatomy is can look at him and be like, 683 00:37:42,200 --> 00:37:43,879 Speaker 2: oh my god, he's doing this and this is how 684 00:37:43,880 --> 00:37:47,080 Speaker 2: he's keeping from ruining his vocal cords. So they actually 685 00:37:47,080 --> 00:37:49,319 Speaker 2: got pretty far with it. But it's worth checking out 686 00:37:49,640 --> 00:37:53,880 Speaker 2: that article because just for the MRIs side by side amazing. 687 00:37:54,000 --> 00:37:57,080 Speaker 1: I thought, so yeah, and you know, it sounds like 688 00:37:57,120 --> 00:37:59,760 Speaker 1: he has something special going on in his neck junk, 689 00:38:00,560 --> 00:38:05,880 Speaker 1: because screaming can definitely like it's very hard on your throat. 690 00:38:06,719 --> 00:38:09,360 Speaker 1: So good for him. He found his calling. 691 00:38:09,400 --> 00:38:11,960 Speaker 2: He found his niche he got him where he fought in. 692 00:38:12,960 --> 00:38:16,120 Speaker 1: That's right. Another reason to scream kind of here is 693 00:38:16,160 --> 00:38:20,200 Speaker 1: where finishing up is pain control. They did a pretty 694 00:38:20,200 --> 00:38:24,120 Speaker 1: interesting survey in twenty twenty of children that had been 695 00:38:24,280 --> 00:38:29,200 Speaker 1: in the hospital and pain like screaming to relieve pain control. 696 00:38:29,280 --> 00:38:31,600 Speaker 1: It turns out is probably a thing I haven't seen 697 00:38:31,640 --> 00:38:34,399 Speaker 1: like the most robust scientific study, but at least from 698 00:38:34,400 --> 00:38:40,160 Speaker 1: this survey, children routinely described feeling a feeling of liberation 699 00:38:40,280 --> 00:38:43,719 Speaker 1: when they screamed, and then a feeling of calmness afterward 700 00:38:44,239 --> 00:38:48,040 Speaker 1: that helped them experience pain in a more manageable way. 701 00:38:48,480 --> 00:38:52,800 Speaker 1: The problem is is that adults and doctors and nurses 702 00:38:52,840 --> 00:38:56,040 Speaker 1: can't take it. Obviously, parents, it's going to be very 703 00:38:56,040 --> 00:38:57,879 Speaker 1: disturbing because they're going to try and get their kid 704 00:38:57,920 --> 00:39:00,560 Speaker 1: to not scream, and the same goes for doctors and 705 00:39:00,640 --> 00:39:04,800 Speaker 1: nurses trying to comfort them. But the status quote of 706 00:39:04,840 --> 00:39:06,839 Speaker 1: all it seems like it helped them. In an eight 707 00:39:06,920 --> 00:39:10,279 Speaker 1: year old noted, maybe it's good to scream, but they 708 00:39:10,320 --> 00:39:14,840 Speaker 1: don't know that. Nobody asks me, my god. 709 00:39:14,719 --> 00:39:18,160 Speaker 2: I know it said it's awful. The reason why they 710 00:39:18,160 --> 00:39:21,520 Speaker 2: think that it does help with pain relief is because 711 00:39:21,520 --> 00:39:24,360 Speaker 2: one of the hormones or one of the chemicals released 712 00:39:24,360 --> 00:39:27,319 Speaker 2: in the fight or flight response is are endorphins, which 713 00:39:27,360 --> 00:39:30,880 Speaker 2: can dull pain. So it does make sense that screaming 714 00:39:30,920 --> 00:39:35,080 Speaker 2: could help you with pain. There's another clever use of screaming, 715 00:39:35,120 --> 00:39:37,919 Speaker 2: if you ask me, then screaming in the emergency room, 716 00:39:38,400 --> 00:39:44,240 Speaker 2: which is replacing the current paradigm for creating anxiety inside 717 00:39:44,239 --> 00:39:48,799 Speaker 2: a lab to study anxiety for research, which is to 718 00:39:48,960 --> 00:39:52,440 Speaker 2: threaten people with a shock. And they've actually found that 719 00:39:52,560 --> 00:39:56,400 Speaker 2: you can threaten people that with a scream and generate 720 00:39:56,440 --> 00:39:59,040 Speaker 2: anxiety just as reliably. So people are like, we should 721 00:39:59,040 --> 00:40:03,200 Speaker 2: stop threatening people with shocks because it's unethical and just 722 00:40:03,239 --> 00:40:06,000 Speaker 2: start saying somebody's gonna scream in a second or maybe 723 00:40:06,000 --> 00:40:08,200 Speaker 2: two seconds. You're never going to know, and that can 724 00:40:08,239 --> 00:40:09,560 Speaker 2: generate anxiety as well. 725 00:40:10,840 --> 00:40:13,959 Speaker 1: But you know, we're so soft. Before long, they're gonna 726 00:40:13,960 --> 00:40:15,839 Speaker 1: be like, you can't scream with people either, right. 727 00:40:16,280 --> 00:40:19,560 Speaker 2: They'll be like, we want you to feel anxiety right now. 728 00:40:19,480 --> 00:40:21,640 Speaker 1: Please, yeah, and would you do that for. 729 00:40:21,680 --> 00:40:23,880 Speaker 2: I'm sure the participant would be like, I feel anxiety 730 00:40:23,920 --> 00:40:25,479 Speaker 2: all the time, can do right? 731 00:40:27,400 --> 00:40:29,920 Speaker 1: Then? I guess finally we should at least mention scream 732 00:40:29,920 --> 00:40:33,040 Speaker 1: therapy or primal scream therapy. I feel like we talked 733 00:40:33,080 --> 00:40:35,799 Speaker 1: about this at a certain point, but this has been 734 00:40:35,840 --> 00:40:38,760 Speaker 1: around since the sixties. I felt like it was probably biggest, 735 00:40:38,760 --> 00:40:42,880 Speaker 1: maybe in the late sixties and seventies. The original primal 736 00:40:42,920 --> 00:40:50,080 Speaker 1: scream therapy psychologist was Arthur Janoff and this was based 737 00:40:50,120 --> 00:40:52,360 Speaker 1: on the idea that like we all have this repressed 738 00:40:52,360 --> 00:40:57,759 Speaker 1: trauma from childhood, it's stored as primal pain. And Arthur 739 00:40:57,840 --> 00:41:00,400 Speaker 1: Janell said, well, you know what, a good old fashion 740 00:41:00,480 --> 00:41:04,680 Speaker 1: screaming session can release that stuff and get it out there. 741 00:41:05,520 --> 00:41:07,719 Speaker 1: The bad news is it turns out there's not a 742 00:41:07,719 --> 00:41:11,880 Speaker 1: lot of evidence that supports it as being a credible 743 00:41:11,920 --> 00:41:13,160 Speaker 1: form of therapy. 744 00:41:13,239 --> 00:41:15,800 Speaker 2: No, and actually I think it's possible it can hurt 745 00:41:15,800 --> 00:41:21,600 Speaker 2: in trauma therapy because screaming can arouse anxiety in the 746 00:41:21,600 --> 00:41:25,319 Speaker 2: person screaming even too, so not necessarily the best thing 747 00:41:25,360 --> 00:41:25,600 Speaker 2: to do. 748 00:41:26,520 --> 00:41:29,600 Speaker 1: No, but very sixty seventies I could see that being 749 00:41:29,640 --> 00:41:29,879 Speaker 1: a thing. 750 00:41:29,960 --> 00:41:32,880 Speaker 2: Super There's like one of those wicker chairs that people 751 00:41:32,960 --> 00:41:37,200 Speaker 2: used to take prom pictures in one of the wicker throne. 752 00:41:37,320 --> 00:41:39,200 Speaker 2: There's definitely one of those in the office. 753 00:41:39,719 --> 00:41:43,520 Speaker 1: Yeah, I think Black Moses album cover wasn't Isaac Kay's 754 00:41:43,520 --> 00:41:43,840 Speaker 1: in one of. 755 00:41:43,800 --> 00:41:46,440 Speaker 2: Those, I believe, So, yeah, was there like a panther 756 00:41:46,600 --> 00:41:47,640 Speaker 2: laying at his feet too? 757 00:41:48,480 --> 00:41:49,480 Speaker 1: Probably there should have been. 758 00:41:50,040 --> 00:41:53,440 Speaker 2: Okay, Well, obviously, since we started talking about Isaac Hayes, 759 00:41:54,000 --> 00:41:55,640 Speaker 2: I think we've just unlicked listener mail. 760 00:41:55,760 --> 00:42:00,719 Speaker 1: Chuck, that's right, and I am wrong actually, because of 761 00:42:00,760 --> 00:42:03,120 Speaker 1: course the Black Moses album cover was just that great 762 00:42:03,400 --> 00:42:06,680 Speaker 1: picture of Isaac Kay's with the shades on and wearing 763 00:42:06,719 --> 00:42:10,000 Speaker 1: that sort of striped colored hood. But maybe it was 764 00:42:10,000 --> 00:42:12,239 Speaker 1: on the back. I definitely have seen Isaa Kays in 765 00:42:12,280 --> 00:42:13,359 Speaker 1: a wicker throne. 766 00:42:13,160 --> 00:42:13,600 Speaker 2: Here, Joe. 767 00:42:15,200 --> 00:42:17,560 Speaker 1: Maybe it was Escape from New York. All right, guys, 768 00:42:18,280 --> 00:42:20,560 Speaker 1: this is Leslie. All right, guys. I don't remember how 769 00:42:20,640 --> 00:42:22,400 Speaker 1: I was turned onto your podcast, but I've been a 770 00:42:22,440 --> 00:42:25,920 Speaker 1: regular listener for several years now, and finally I'm getting 771 00:42:25,960 --> 00:42:27,960 Speaker 1: around to writing. Often. Wish I was in the studio 772 00:42:28,400 --> 00:42:31,319 Speaker 1: during her recording so I could comment or applaud hey 773 00:42:31,520 --> 00:42:35,000 Speaker 1: like I did today. Yeah. I was sad to learn 774 00:42:35,040 --> 00:42:38,279 Speaker 1: that you weren't doing San Francisco's Sketch Fest this year, 775 00:42:38,320 --> 00:42:40,319 Speaker 1: but I'm hoping you come back next year. My friend 776 00:42:40,400 --> 00:42:43,239 Speaker 1: Christina and I will be there. I wanted to write 777 00:42:43,239 --> 00:42:47,360 Speaker 1: when the topic was animal communication because the musical interlude 778 00:42:47,400 --> 00:42:50,239 Speaker 1: was an homage to the Beach Boys Pet Sounds, which 779 00:42:50,280 --> 00:42:52,520 Speaker 1: was brilliant. You thank Jerry for that. By the way, 780 00:42:53,840 --> 00:42:55,799 Speaker 1: I work in animal care, you see, so I love 781 00:42:55,800 --> 00:42:59,040 Speaker 1: your animal episodes. I appreciate how you guys accept a 782 00:42:59,200 --> 00:43:01,120 Speaker 1: correction showing up. It's okay to make a mistake as 783 00:43:01,160 --> 00:43:03,120 Speaker 1: long as you learn from it. And I appreciate how 784 00:43:03,160 --> 00:43:06,600 Speaker 1: you present important yet sensitive topics in a respectful way, 785 00:43:06,760 --> 00:43:10,800 Speaker 1: or how you share multiple points of view on divisive issues. 786 00:43:11,719 --> 00:43:13,360 Speaker 1: I just want to thank you for keeping me company 787 00:43:13,440 --> 00:43:18,120 Speaker 1: during my commute, explaining complex things, making seemingly unsavory topics palatable, 788 00:43:18,600 --> 00:43:22,080 Speaker 1: entertain me, educating me, and more ps in support of 789 00:43:22,080 --> 00:43:25,000 Speaker 1: your efforts to grow your listenership. Still, I shared your 790 00:43:25,000 --> 00:43:28,759 Speaker 1: Sesame Street episode on my Facebook page, so Leslie really 791 00:43:28,760 --> 00:43:32,680 Speaker 1: appreciate that. Yeah, and then there's a PPS. I've often 792 00:43:32,719 --> 00:43:34,680 Speaker 1: thought a good drinking game could be to drink every 793 00:43:34,719 --> 00:43:38,239 Speaker 1: time Chuck says that's right, roll off the tongue or 794 00:43:38,320 --> 00:43:41,920 Speaker 1: for sure for sure. But I don't drink alcohol, so 795 00:43:42,000 --> 00:43:43,799 Speaker 1: if I were to play, I'd probably just get really 796 00:43:43,800 --> 00:43:47,839 Speaker 1: well hydrated. It's very funny, Leslie s in the San 797 00:43:47,840 --> 00:43:52,799 Speaker 1: Francisco Bay area. And yeah, Leslie, we'd love to see 798 00:43:52,840 --> 00:43:55,120 Speaker 1: you at our show next year because hopefully we'll be there. 799 00:43:55,280 --> 00:43:58,040 Speaker 2: That was really really sweet when a very nice email, Leslie, 800 00:43:58,080 --> 00:43:59,920 Speaker 2: thank you for taking the time to write all that, 801 00:44:00,520 --> 00:44:02,879 Speaker 2: and thank you for sharing our Sysame Street episode. That's 802 00:44:02,880 --> 00:44:04,520 Speaker 2: a pretty good one to share. If you ask me, 803 00:44:05,920 --> 00:44:07,440 Speaker 2: and if you want to be like Leslie and send 804 00:44:07,520 --> 00:44:10,080 Speaker 2: us a very nice email. We always love getting those. 805 00:44:10,440 --> 00:44:13,399 Speaker 2: You can send it off to stuff podcast at iHeartRadio 806 00:44:13,480 --> 00:44:16,959 Speaker 2: dot com. 807 00:44:17,080 --> 00:44:19,960 Speaker 1: Stuff you Should Know is a production of iHeartRadio. For 808 00:44:20,040 --> 00:44:24,239 Speaker 1: more podcasts my heart Radio, visit the iHeartRadio app, Apple Podcasts, 809 00:44:24,360 --> 00:44:26,200 Speaker 1: or wherever you listen to your favorite shows.