1 00:00:03,080 --> 00:00:05,280 Speaker 1: Welcome to Stuff to Blow Your Mind, the production of 2 00:00:05,360 --> 00:00:14,920 Speaker 1: My Heart Radio. Hello, and welcome do Stuff to Blow 3 00:00:15,000 --> 00:00:17,880 Speaker 1: Your Mind. I'm Joe McCormick, and my regular co host, 4 00:00:18,000 --> 00:00:20,400 Speaker 1: Robert Lamb is not with us today. He is out 5 00:00:20,440 --> 00:00:23,160 Speaker 1: on vacation, but as a special treat I am being 6 00:00:23,280 --> 00:00:27,440 Speaker 1: joined by our in house audio sorcerer, Seth Nicholas Johnson. 7 00:00:27,480 --> 00:00:30,680 Speaker 1: Say Hi, Seth. Hello, everyone, it's me Seth. How are 8 00:00:30,680 --> 00:00:33,040 Speaker 1: you doing today? I'm doing great, happy to be on 9 00:00:33,040 --> 00:00:35,199 Speaker 1: this side of the microphone, happy to help out well 10 00:00:35,200 --> 00:00:39,240 Speaker 1: wall Robert's out of town, and I'm very happy, um 11 00:00:39,240 --> 00:00:41,640 Speaker 1: with the subject matter that you chose today, So I'm 12 00:00:41,680 --> 00:00:43,880 Speaker 1: looking forward to this right We're so we're doing a 13 00:00:44,000 --> 00:00:48,839 Speaker 1: musical themed episode today. Um, because Seth, you host another podcast, 14 00:00:48,880 --> 00:00:51,120 Speaker 1: do you want to tell listeners who are not familiar 15 00:00:51,159 --> 00:00:54,520 Speaker 1: with the Record Store Society what it's all about? Surely? Um? Yeah. 16 00:00:54,560 --> 00:00:57,440 Speaker 1: So obviously the main chunk of my time I spend 17 00:00:57,440 --> 00:01:00,360 Speaker 1: producing this show Stuff to Blow Your Mind, But I 18 00:01:00,360 --> 00:01:02,840 Speaker 1: also do a weekly show with that I host with 19 00:01:02,880 --> 00:01:06,080 Speaker 1: my co host Tara Davies, and it's called Record Store Society, 20 00:01:06,720 --> 00:01:09,840 Speaker 1: and um, basically it's a podcast for music nerds by 21 00:01:09,959 --> 00:01:13,559 Speaker 1: music nerds and it's um full blown, just a talk 22 00:01:13,640 --> 00:01:17,360 Speaker 1: show where people can just share recommendations things we've been 23 00:01:17,360 --> 00:01:20,560 Speaker 1: listening to lately, what we love, play some music based 24 00:01:20,600 --> 00:01:23,040 Speaker 1: games that you can't really play with other people because 25 00:01:23,280 --> 00:01:26,520 Speaker 1: you're going very specific and very nerdy about your music tastes. 26 00:01:27,319 --> 00:01:30,560 Speaker 1: But we pretend we're in a record store the whole time. 27 00:01:30,680 --> 00:01:32,800 Speaker 1: That's the gimmick. That's the fun little gimmick where we 28 00:01:32,880 --> 00:01:35,960 Speaker 1: just uh uh yeah, there's we have sound effects and 29 00:01:36,040 --> 00:01:38,280 Speaker 1: all of our guests are customers and me and my 30 00:01:38,319 --> 00:01:41,360 Speaker 1: co host are the employees of the record store and 31 00:01:41,520 --> 00:01:43,880 Speaker 1: uh yeah, it's fun. It's called Record Store Society and 32 00:01:43,880 --> 00:01:46,360 Speaker 1: you can find it wherever you find your podcasts. It's 33 00:01:46,360 --> 00:01:49,320 Speaker 1: a great show, folks. I personally recommended. In fact, Rob 34 00:01:49,360 --> 00:01:52,160 Speaker 1: and I did a guest episode where we appeared on 35 00:01:52,200 --> 00:01:54,720 Speaker 1: Record Store Society one time. How long ago is that 36 00:01:54,760 --> 00:01:56,560 Speaker 1: now is a couple of months ago where we ended 37 00:01:56,600 --> 00:01:59,240 Speaker 1: up talking Yeah it was music videos. Yes, it was 38 00:01:59,280 --> 00:02:02,600 Speaker 1: a great one and um yeah, tons of fun everyone. 39 00:02:02,680 --> 00:02:05,360 Speaker 1: If if anyone's in the mood for music talk, if 40 00:02:05,400 --> 00:02:08,640 Speaker 1: you're looking for new music recommendations, or you just feel 41 00:02:08,680 --> 00:02:10,920 Speaker 1: kind of lonely that you don't none of your friends will, 42 00:02:11,000 --> 00:02:13,720 Speaker 1: you know, go on a deep dive about, you know, 43 00:02:13,760 --> 00:02:17,680 Speaker 1: bootleg Neil Young albums. Then you know, you can listen 44 00:02:17,680 --> 00:02:20,160 Speaker 1: to Record Store Society and we'll we'll scratch that itch. 45 00:02:21,040 --> 00:02:23,239 Speaker 1: Speaking of bootleg Neil Young albums, you ever see that 46 00:02:23,360 --> 00:02:25,760 Speaker 1: video where he's like going around in record stores and 47 00:02:25,800 --> 00:02:29,920 Speaker 1: he's finding bootlegs and he's like taking them without paying. Yes, 48 00:02:31,080 --> 00:02:33,720 Speaker 1: I mean you love it. You know, there's something about 49 00:02:33,720 --> 00:02:36,760 Speaker 1: a musical curmudgeon that always makes me very happy. And 50 00:02:37,000 --> 00:02:41,079 Speaker 1: he's a good one. He's a very good musical curmudgeon. Yeah, yeah, 51 00:02:41,160 --> 00:02:42,840 Speaker 1: it's great. He like takes it up. He's like, I'm 52 00:02:42,880 --> 00:02:46,480 Speaker 1: on this record and I don't know what this is. Um. 53 00:02:46,520 --> 00:02:49,840 Speaker 1: But so anyway, because Seth of the Record Store Society 54 00:02:49,919 --> 00:02:52,200 Speaker 1: is joining us today, we thought we would talk about 55 00:02:52,200 --> 00:02:54,320 Speaker 1: a musical topic, and I think we've got a really 56 00:02:54,360 --> 00:02:58,639 Speaker 1: interesting one that ties up with neuroscience, big puzzles about 57 00:02:58,680 --> 00:03:02,560 Speaker 1: how our brains were, emotions, the reward system in the brain, 58 00:03:03,160 --> 00:03:07,000 Speaker 1: music and aesthetics and fear and uh and the autonomic 59 00:03:07,040 --> 00:03:09,720 Speaker 1: nervous system and all that, and so what we're talking 60 00:03:09,720 --> 00:03:13,840 Speaker 1: about today is those moments when music is not just 61 00:03:14,040 --> 00:03:19,760 Speaker 1: fun or interesting or intellectually pleasurable, But when musical pleasure 62 00:03:19,840 --> 00:03:22,200 Speaker 1: sort of grabs you at the level of the body, 63 00:03:22,320 --> 00:03:25,440 Speaker 1: when it sends a shiver down your spine, or when 64 00:03:25,480 --> 00:03:28,640 Speaker 1: it causes tingling on your skin or even feeling like 65 00:03:28,680 --> 00:03:31,720 Speaker 1: it's under your skin, or when it raises goose bumps 66 00:03:31,760 --> 00:03:34,400 Speaker 1: on your forearms or on your neck, or when it 67 00:03:34,440 --> 00:03:36,560 Speaker 1: puts a lump in your throat. Today, we're going to 68 00:03:36,640 --> 00:03:40,640 Speaker 1: be talking about what is sometimes called free san or 69 00:03:40,800 --> 00:03:43,840 Speaker 1: frisson uh in the words of one review. We're going 70 00:03:43,880 --> 00:03:47,800 Speaker 1: to be looking at today it is a transcendent, psycho 71 00:03:47,920 --> 00:03:52,480 Speaker 1: physiological moment of musical experience. It's the it's the moment 72 00:03:52,520 --> 00:03:55,360 Speaker 1: where music grabs you by the body and not just 73 00:03:55,520 --> 00:03:58,640 Speaker 1: the mind. Now, Sath, you actually suggested this topic when 74 00:03:58,680 --> 00:04:01,120 Speaker 1: we were batting around ideas about what to do today. 75 00:04:01,120 --> 00:04:03,600 Speaker 1: Do you remember how this came to your mind? What's 76 00:04:03,640 --> 00:04:07,760 Speaker 1: the story here? Um? It's a concept I very much. Um, 77 00:04:08,280 --> 00:04:11,360 Speaker 1: I've done mild research into into the past. I'm a 78 00:04:11,400 --> 00:04:14,920 Speaker 1: person who feels fressan or however we're going to pronounce 79 00:04:15,080 --> 00:04:18,159 Speaker 1: how do you think you're going to pronounce it today? Joe, Well, dang, 80 00:04:18,200 --> 00:04:20,840 Speaker 1: I've already been thinking so I've been saying in my head, 81 00:04:20,920 --> 00:04:24,080 Speaker 1: free song comes from the French. It comes from a 82 00:04:24,120 --> 00:04:26,760 Speaker 1: French word meaning shiver, shiver isn't now and like he 83 00:04:26,800 --> 00:04:30,560 Speaker 1: gave me a shiver. But but I've seen plenty of 84 00:04:30,600 --> 00:04:33,880 Speaker 1: people also call it frissan so or frost san. So 85 00:04:34,440 --> 00:04:36,760 Speaker 1: we're probably gonna jump around, but I'll try to be 86 00:04:36,800 --> 00:04:39,200 Speaker 1: as annoying as possible about it. But I'll try to 87 00:04:39,200 --> 00:04:42,680 Speaker 1: go with freesan as well. Um, yeah, yeah, and um, 88 00:04:42,800 --> 00:04:47,040 Speaker 1: aesthetic chills is the is my favorite definition of freesan, 89 00:04:47,680 --> 00:04:50,279 Speaker 1: and um, it's something I experience a lot. And as 90 00:04:50,279 --> 00:04:53,839 Speaker 1: a big music fan, I've often thought, am I a 91 00:04:53,839 --> 00:04:58,760 Speaker 1: big music fan because I acutely feel freesan very often? 92 00:04:59,440 --> 00:05:04,520 Speaker 1: Or do I experience free song often? Because I'm such 93 00:05:04,560 --> 00:05:06,240 Speaker 1: a big music fan and I spend so much of 94 00:05:06,279 --> 00:05:08,520 Speaker 1: my time listening to and thinking about it and diving 95 00:05:08,560 --> 00:05:11,039 Speaker 1: deep and spending all my money on records and blah 96 00:05:11,040 --> 00:05:13,760 Speaker 1: blah blah. Like it's a chicken or the egg situation, 97 00:05:13,800 --> 00:05:15,520 Speaker 1: which I don't think we can ever have an answer to, 98 00:05:16,160 --> 00:05:20,839 Speaker 1: but it's an interesting idea and um, I've also not 99 00:05:20,920 --> 00:05:24,520 Speaker 1: too long ago learned that, of course, not everyone experiences it, 100 00:05:24,720 --> 00:05:27,960 Speaker 1: which is another very strange aspect when you feel something 101 00:05:28,000 --> 00:05:31,280 Speaker 1: that you enjoy, like just like whether it be you know, um, 102 00:05:32,200 --> 00:05:34,960 Speaker 1: the taste of something sour and you go, oh, other 103 00:05:35,000 --> 00:05:37,200 Speaker 1: people don't taste sour, and you would go, wait a minute, 104 00:05:37,360 --> 00:05:40,080 Speaker 1: I thought everyone had this, And that's that's kind of 105 00:05:40,080 --> 00:05:42,520 Speaker 1: what I felt when I learned that freesng isn't something 106 00:05:42,560 --> 00:05:47,480 Speaker 1: that everyone experiences. And anyway, you you're so good at 107 00:05:47,520 --> 00:05:50,599 Speaker 1: researching things, I thought you would uh answer some questions 108 00:05:50,640 --> 00:05:53,560 Speaker 1: for me, so i'm I'm I'm ecstatic with with what 109 00:05:53,640 --> 00:05:56,280 Speaker 1: you've looked into already. Well, I don't think we're gonna 110 00:05:56,320 --> 00:05:59,520 Speaker 1: have full closure on all of the causes of this 111 00:06:00,040 --> 00:06:03,400 Speaker 1: of this phenomenon today, but we can raise some questions 112 00:06:03,440 --> 00:06:07,080 Speaker 1: and bring up some findings that point off an interesting directions. 113 00:06:07,120 --> 00:06:09,000 Speaker 1: This is one of those that I think is still 114 00:06:09,120 --> 00:06:11,120 Speaker 1: somewhat of a puzzle, But there are a lot of 115 00:06:11,120 --> 00:06:13,240 Speaker 1: pieces of it that are on the table now and 116 00:06:13,279 --> 00:06:16,000 Speaker 1: you can arrange them around in different ways and get 117 00:06:16,080 --> 00:06:18,240 Speaker 1: some ideas of what to do. But maybe it would 118 00:06:18,240 --> 00:06:22,960 Speaker 1: be good to start describing really strong examples that unfortunately 119 00:06:23,080 --> 00:06:25,160 Speaker 1: necessarily I think these are going to have to be 120 00:06:25,600 --> 00:06:29,440 Speaker 1: subjective that we will talk about examples that affect us personally. 121 00:06:29,520 --> 00:06:31,480 Speaker 1: But one thing you'll find is that, you know, some 122 00:06:31,560 --> 00:06:35,680 Speaker 1: musical passages are especially prone to eliciting free so on 123 00:06:35,960 --> 00:06:38,919 Speaker 1: in many people. But there's nothing that's universal, So what 124 00:06:39,040 --> 00:06:42,640 Speaker 1: gets you might not get somebody else, and vice versa. Um. 125 00:06:42,680 --> 00:06:45,880 Speaker 1: But I, I specifically have a memory from when I 126 00:06:45,920 --> 00:06:49,160 Speaker 1: was in college of I guess a couple of days, 127 00:06:49,240 --> 00:06:51,039 Speaker 1: or maybe it was even a stretch of a week 128 00:06:51,240 --> 00:06:55,720 Speaker 1: where I was just listening to one song over and 129 00:06:55,839 --> 00:06:58,719 Speaker 1: over again. I would like, maybe multiple times a day, 130 00:06:59,080 --> 00:07:01,800 Speaker 1: put on my head owns, turned the volume way up, 131 00:07:01,839 --> 00:07:04,440 Speaker 1: and just listen to the same song over and over 132 00:07:04,480 --> 00:07:07,440 Speaker 1: again with my head bent down and my eyes closed. 133 00:07:07,920 --> 00:07:10,480 Speaker 1: It was a song by bay Rout that is called 134 00:07:10,560 --> 00:07:13,400 Speaker 1: non Taste, and it has this moment where you know, 135 00:07:13,400 --> 00:07:16,240 Speaker 1: it starts off kind of quiet, and then suddenly it 136 00:07:16,880 --> 00:07:19,240 Speaker 1: becomes loud. The rest of the band comes in, the 137 00:07:19,280 --> 00:07:22,440 Speaker 1: rhythm kicks in uh, and there's a there's clicking percussion 138 00:07:22,520 --> 00:07:37,200 Speaker 1: and tonight, And when that happens, I would just feel 139 00:07:37,200 --> 00:07:41,000 Speaker 1: these waves of tingling and goose bumps, and I would 140 00:07:41,000 --> 00:07:43,160 Speaker 1: do it over and over again, almost like I was 141 00:07:43,200 --> 00:07:46,280 Speaker 1: addicted to it. It sort of colors my memory of 142 00:07:46,400 --> 00:07:49,200 Speaker 1: my experiences of you know, that summer two thousand whatever 143 00:07:49,240 --> 00:07:51,560 Speaker 1: it was. Uh. And another thing is I was thinking, 144 00:07:51,600 --> 00:07:53,760 Speaker 1: I still really love music, but I don't really do 145 00:07:53,960 --> 00:07:57,240 Speaker 1: things like that anymore. I would sometimes do that with songs, 146 00:07:57,760 --> 00:08:00,160 Speaker 1: especially when I was in high school and college. Gen. 147 00:08:00,240 --> 00:08:02,920 Speaker 1: It makes me kind of wonder if age might be 148 00:08:02,960 --> 00:08:06,080 Speaker 1: a factor in in how often and how intensely you 149 00:08:06,160 --> 00:08:09,640 Speaker 1: experience freesan, or in how motivated you are to have 150 00:08:09,760 --> 00:08:12,480 Speaker 1: the experience again and again. How does that line up 151 00:08:12,480 --> 00:08:16,480 Speaker 1: with your experience? It does, However, I would say that 152 00:08:16,560 --> 00:08:20,800 Speaker 1: I don't believe mine has waned at all, and I'm 153 00:08:20,840 --> 00:08:23,360 Speaker 1: not really sure. I can't explain that either. I can't 154 00:08:23,360 --> 00:08:27,600 Speaker 1: explain why, um something that Like when I was in 155 00:08:27,680 --> 00:08:30,440 Speaker 1: like middle school and high school, I was always the 156 00:08:30,520 --> 00:08:32,800 Speaker 1: kid with the largest CD collection. I had like the 157 00:08:32,840 --> 00:08:35,520 Speaker 1: giant binder full of CDs and it was the only 158 00:08:35,559 --> 00:08:37,960 Speaker 1: thing I cared about and blah blah blah. And you 159 00:08:38,000 --> 00:08:41,240 Speaker 1: know that at that time when music obsession is very 160 00:08:41,760 --> 00:08:45,240 Speaker 1: very common. I think most people feel music obsession during 161 00:08:45,280 --> 00:08:48,760 Speaker 1: those teenage through high school. I guess it's all teenage years. 162 00:08:49,800 --> 00:08:52,280 Speaker 1: I often had people tell me, oh, when I was 163 00:08:52,360 --> 00:08:55,600 Speaker 1: your age, I love music too, You'll grow out of it. 164 00:08:55,720 --> 00:08:58,080 Speaker 1: I heard that again and again and again, and here 165 00:08:58,120 --> 00:09:01,120 Speaker 1: I am knocking on middle age, and I haven't really 166 00:09:01,240 --> 00:09:03,160 Speaker 1: changed too much, and I just kind of became a 167 00:09:03,160 --> 00:09:06,480 Speaker 1: different kind of music fan, I guess, which is now 168 00:09:06,520 --> 00:09:09,320 Speaker 1: why I host that music show too, and have hosted 169 00:09:09,320 --> 00:09:11,319 Speaker 1: other music podcasts in my life. And that's why I 170 00:09:11,400 --> 00:09:13,480 Speaker 1: run a record label, It's why I'm a musician. It's 171 00:09:13,559 --> 00:09:15,600 Speaker 1: it's all these things that I do and really enjoy. 172 00:09:16,400 --> 00:09:19,679 Speaker 1: So yes, I I fully agree with you that there 173 00:09:19,840 --> 00:09:21,920 Speaker 1: is this thing that it must be something like a 174 00:09:21,960 --> 00:09:24,680 Speaker 1: dopamine release. And we'll get more into like the specific 175 00:09:24,720 --> 00:09:26,960 Speaker 1: details about what's happening chemically and all that kind of 176 00:09:26,960 --> 00:09:31,120 Speaker 1: stuff later, But no, I I think I still feel 177 00:09:31,120 --> 00:09:34,480 Speaker 1: it pretty acutely. I think I still, um do obsess 178 00:09:34,520 --> 00:09:37,360 Speaker 1: over songs far too much and talk about music far 179 00:09:37,400 --> 00:09:41,000 Speaker 1: too much and go into all those things. And um, 180 00:09:41,000 --> 00:09:42,880 Speaker 1: here's another thing that I'm not sure if we'll get 181 00:09:42,920 --> 00:09:46,000 Speaker 1: to later. You and I are also both musicians in 182 00:09:46,040 --> 00:09:48,760 Speaker 1: our own ways. You know, we are people who write, 183 00:09:48,920 --> 00:09:53,680 Speaker 1: record and play music. Um, extremely amateur on my part, 184 00:09:53,760 --> 00:09:56,959 Speaker 1: but yes, but that's still something that not a lot 185 00:09:57,000 --> 00:09:59,920 Speaker 1: of people do. And I wonder if being a musician 186 00:10:00,080 --> 00:10:02,880 Speaker 1: and has something to do with this as well, something 187 00:10:02,920 --> 00:10:04,800 Speaker 1: that has to do with that wire in your brain, 188 00:10:04,920 --> 00:10:08,719 Speaker 1: that that self serving dopamine plunger, that that being a 189 00:10:08,840 --> 00:10:11,599 Speaker 1: rats with a test and hitting the little buttons you 190 00:10:11,640 --> 00:10:15,559 Speaker 1: can get your little food pellets. I can't answer these questions, 191 00:10:15,760 --> 00:10:17,760 Speaker 1: but that's something that makes me think of sometimes when 192 00:10:17,800 --> 00:10:20,080 Speaker 1: I'm playing something over and over and over again, whether 193 00:10:20,120 --> 00:10:22,480 Speaker 1: I'm listening to it or with my hand I'm playing 194 00:10:22,480 --> 00:10:25,400 Speaker 1: on a musical instrument, I think about that rats getting 195 00:10:25,400 --> 00:10:27,520 Speaker 1: a food pellet. Like you're listening to that Bay Roots song, 196 00:10:27,600 --> 00:10:30,040 Speaker 1: you know, it's just like and one more please, and 197 00:10:30,200 --> 00:10:32,840 Speaker 1: one more please. I don't know. I was trying to 198 00:10:32,840 --> 00:10:34,760 Speaker 1: think of other songs that I mean, I know there 199 00:10:34,760 --> 00:10:36,720 Speaker 1: there are tons that are just not coming to mind. 200 00:10:36,760 --> 00:10:38,280 Speaker 1: But I was making a list while we were getting 201 00:10:38,320 --> 00:10:41,440 Speaker 1: ready to record this of moments and songs that I 202 00:10:41,559 --> 00:10:45,839 Speaker 1: know regularly, cause Free Song for Me one is another 203 00:10:45,880 --> 00:10:47,680 Speaker 1: one I was thinking of. Is the pre chorus in 204 00:10:47,720 --> 00:10:50,440 Speaker 1: the song Alex Chilton by the Replacements. Do you know 205 00:10:50,520 --> 00:10:53,560 Speaker 1: the part I'm talking about where the the verse transitions 206 00:10:53,600 --> 00:10:56,840 Speaker 1: to suddenly the background harmonies come in coinciding with the 207 00:10:56,880 --> 00:10:59,360 Speaker 1: lines of the lyrics Children by the Millions sing for 208 00:10:59,440 --> 00:11:12,640 Speaker 1: Alex chill right on that part. Yes, always does it 209 00:11:12,720 --> 00:11:15,480 Speaker 1: for me. UM. I was also thinking about There is 210 00:11:15,520 --> 00:11:20,080 Speaker 1: a there's an awesome soul song called into Something Can't 211 00:11:20,120 --> 00:11:23,880 Speaker 1: Shake Loose by ov Right where I experienced free sonic 212 00:11:24,040 --> 00:11:27,600 Speaker 1: multiple points in the song, but especially as the intro 213 00:11:27,760 --> 00:11:31,240 Speaker 1: has these chord changes on the piano along with uh 214 00:11:31,240 --> 00:11:35,880 Speaker 1: sort of plaintive vocals uh cycling through the same lyrics, 215 00:11:36,320 --> 00:11:38,839 Speaker 1: but with with these chord changes leading up to when 216 00:11:38,840 --> 00:11:41,520 Speaker 1: the rhythm kicks in and the strings come in Never 217 00:11:41,840 --> 00:11:57,960 Speaker 1: Never will Game, second Loo No, and uh yeah, chills 218 00:11:58,040 --> 00:12:00,960 Speaker 1: all over from it. I mean, I I think if 219 00:12:01,000 --> 00:12:04,599 Speaker 1: you experience this, they are definitely UM high points that 220 00:12:04,640 --> 00:12:07,120 Speaker 1: you can always remember. Like of off top of my head, 221 00:12:07,120 --> 00:12:11,240 Speaker 1: there are always a couple of really strong examples UM, 222 00:12:11,320 --> 00:12:14,640 Speaker 1: and perhaps some of these examples that we're listing we'll 223 00:12:14,679 --> 00:12:18,600 Speaker 1: be able to actually somewhat dissect and understand why these 224 00:12:18,640 --> 00:12:21,839 Speaker 1: examples hold so strong for us. UM. There's a song 225 00:12:21,880 --> 00:12:25,400 Speaker 1: called Modern World by Wolf Parade where basically the entire 226 00:12:25,559 --> 00:12:29,760 Speaker 1: second half of the song is this building extended chorus. 227 00:12:38,840 --> 00:12:41,880 Speaker 1: We're just like you know, it's a it's repetitive, but 228 00:12:42,000 --> 00:12:45,640 Speaker 1: maybe like every bar to another instrument is added, another 229 00:12:45,679 --> 00:12:49,560 Speaker 1: element is added, and then like you're you're I literally 230 00:12:49,679 --> 00:12:52,559 Speaker 1: feel chills thinking about it right now because I can 231 00:12:52,600 --> 00:12:56,640 Speaker 1: hear those notes in my head and there's something to 232 00:12:56,679 --> 00:12:59,760 Speaker 1: do with pattern that really really brings you home an 233 00:12:59,880 --> 00:13:03,000 Speaker 1: X affectation. Um. There's there's also this really great song 234 00:13:03,280 --> 00:13:07,400 Speaker 1: UM by Animal Collective called Banshee Beat that's very slow, 235 00:13:07,679 --> 00:13:11,600 Speaker 1: very very very um. It's a it's a languid song, 236 00:13:11,679 --> 00:13:14,760 Speaker 1: you know, very stretched out, and then every once in 237 00:13:14,760 --> 00:13:16,760 Speaker 1: a while, the lead singer A V. Tear just hits 238 00:13:16,800 --> 00:13:30,720 Speaker 1: these notes where he says swimming pool and it's like 239 00:13:30,760 --> 00:13:33,960 Speaker 1: it erupts out of him like a volcano would erupt lava. 240 00:13:34,440 --> 00:13:37,960 Speaker 1: And it's though those moments as well, they're there there there, 241 00:13:38,000 --> 00:13:40,240 Speaker 1: I mean, And I also do think that, like you 242 00:13:40,280 --> 00:13:43,839 Speaker 1: were saying before, it's very subjective. UM. For example, when 243 00:13:43,840 --> 00:13:45,959 Speaker 1: I was talking about this with my wife Lizzie last 244 00:13:46,080 --> 00:13:50,360 Speaker 1: night and she showed me a Loofer Yanya song and 245 00:13:50,520 --> 00:13:52,560 Speaker 1: I was like, oh, yeah, I know that song, and 246 00:13:52,559 --> 00:13:54,439 Speaker 1: she's like, that's the one for me, that's the one 247 00:13:54,480 --> 00:13:56,840 Speaker 1: that gives me the chills. And I'm like, not a 248 00:13:56,840 --> 00:13:59,240 Speaker 1: great song, but I've never felt it for that and 249 00:13:59,440 --> 00:14:01,640 Speaker 1: so so I think you are correct where it is. 250 00:14:01,760 --> 00:14:06,520 Speaker 1: Just it's a subjective feeling built into us individually, and 251 00:14:06,640 --> 00:14:09,800 Speaker 1: sometimes it's shared, but I think quite often it's not. 252 00:14:09,920 --> 00:14:12,680 Speaker 1: I think it's very personal most of the time. Yeah, 253 00:14:12,720 --> 00:14:15,960 Speaker 1: it's an interesting phenomenon that seems to involve both cognitive 254 00:14:16,040 --> 00:14:19,720 Speaker 1: and emotional elements. Like it's cognitive in that uh sort 255 00:14:19,760 --> 00:14:23,000 Speaker 1: of sort of knowledge and context matters, and like it 256 00:14:23,000 --> 00:14:25,400 Speaker 1: it matters how much attention you're paying to the music. 257 00:14:26,080 --> 00:14:28,720 Speaker 1: Like music that's on in the background is usually unlikely 258 00:14:28,760 --> 00:14:30,240 Speaker 1: to cause frees on. I don't know if you have 259 00:14:30,280 --> 00:14:33,960 Speaker 1: the same experience. It's especially when you're really listening actively 260 00:14:34,080 --> 00:14:37,680 Speaker 1: that it happens, especially at higher volume. UM. But the 261 00:14:37,720 --> 00:14:40,520 Speaker 1: other thing is that it sometimes it gets the better 262 00:14:40,600 --> 00:14:43,400 Speaker 1: of you, or at least in my experience, I can 263 00:14:43,400 --> 00:14:48,160 Speaker 1: get frees on from songs that, um that I don't 264 00:14:48,160 --> 00:14:51,000 Speaker 1: want to be unkind, but that I might regard as 265 00:14:51,040 --> 00:14:55,400 Speaker 1: sort of like blatantly manipulative or what some people might 266 00:14:55,440 --> 00:14:57,720 Speaker 1: call hack songwriting. You know, I don't like to just 267 00:14:57,800 --> 00:15:00,880 Speaker 1: like crap all over music, but like, there there are 268 00:15:00,920 --> 00:15:03,640 Speaker 1: songs that, uh that I like, but like, I acknowledge 269 00:15:03,680 --> 00:15:06,240 Speaker 1: that they're very cheesy. You know, they're not necessarily they 270 00:15:06,240 --> 00:15:10,280 Speaker 1: don't convey emotional maturity, and yet they still can cause 271 00:15:10,320 --> 00:15:13,880 Speaker 1: this intense reaction when I was thinking of is uh. 272 00:15:14,000 --> 00:15:16,720 Speaker 1: In fact, there's several songs, probably by Jim Steinman, that 273 00:15:16,800 --> 00:15:19,080 Speaker 1: do this for me. Who he hits It seems like 274 00:15:19,120 --> 00:15:21,320 Speaker 1: he hits all of the bars. I was thinking about 275 00:15:21,360 --> 00:15:24,280 Speaker 1: the song Nowhere Fast from the movie Streets of Fire, 276 00:15:24,680 --> 00:15:29,520 Speaker 1: which is intensely cheesy Jim Steinman pop songwriting, but like 277 00:15:29,560 --> 00:15:32,120 Speaker 1: on the pre chorus, when you know the high voices 278 00:15:32,200 --> 00:15:34,600 Speaker 1: come in, it jumps up an octave and it's really loud, 279 00:15:48,440 --> 00:15:51,280 Speaker 1: and I get the shivers and and I I, um, 280 00:15:51,320 --> 00:15:54,280 Speaker 1: I've definitely experienced the same thing, and that line between 281 00:15:55,160 --> 00:16:00,800 Speaker 1: cheesy and emotional and what your body is actually taking 282 00:16:00,880 --> 00:16:04,720 Speaker 1: in as opposed to perhaps what your brain thinks differently 283 00:16:04,800 --> 00:16:07,320 Speaker 1: of it, Like there's like an intellectual and an emotional 284 00:16:07,360 --> 00:16:10,720 Speaker 1: place where it hits you. And sometimes I'm not even 285 00:16:10,760 --> 00:16:14,360 Speaker 1: sure if this is true. Um, there's a feeling of 286 00:16:14,440 --> 00:16:19,720 Speaker 1: embarrassment almost for the performer. And then you think to yourself, 287 00:16:20,000 --> 00:16:22,400 Speaker 1: are these chills that I'm feeling part of free san 288 00:16:22,640 --> 00:16:25,320 Speaker 1: or are these chills, perhaps some sort of like almost 289 00:16:25,360 --> 00:16:29,200 Speaker 1: like a cringe thing. And I think it's usually free song. 290 00:16:29,320 --> 00:16:33,160 Speaker 1: I don't think it's usually embarrassment. But they're they're they're 291 00:16:33,200 --> 00:16:36,760 Speaker 1: not too good for Jim Steinman exactly, but I do 292 00:16:36,880 --> 00:16:39,440 Speaker 1: think they are like somehow, perhaps like neighbors in a way. 293 00:16:39,520 --> 00:16:43,320 Speaker 1: And I think there is something about emotional poll compared 294 00:16:43,360 --> 00:16:49,680 Speaker 1: with intellectual poll, and them working in tandem can create 295 00:16:49,760 --> 00:16:53,320 Speaker 1: this emotion becaucause at the end of the day, a 296 00:16:53,440 --> 00:16:57,560 Speaker 1: lot of music is just math. It's a lot of patterns, 297 00:16:57,680 --> 00:17:00,640 Speaker 1: it's a lot of um time signature errs, it's a 298 00:17:00,640 --> 00:17:02,880 Speaker 1: lot of you know, hitting things at the correct time. 299 00:17:03,760 --> 00:17:09,160 Speaker 1: And so in addition to that, there's that's the intellectual side, 300 00:17:09,480 --> 00:17:12,760 Speaker 1: and then there's the performance aspect, which brings an emotional side, 301 00:17:12,800 --> 00:17:15,800 Speaker 1: and that can I am going down a rabbit hole here, 302 00:17:15,840 --> 00:17:20,400 Speaker 1: but I think you understand what I'm saying. Oh yeah, yeah, totally. UM. 303 00:17:20,560 --> 00:17:22,840 Speaker 1: One last example for people to think about, maybe before 304 00:17:22,840 --> 00:17:25,240 Speaker 1: we move on to UH, to dissecting the concept a 305 00:17:25,280 --> 00:17:27,840 Speaker 1: little bit more, is UH. This is one example. I 306 00:17:27,880 --> 00:17:31,240 Speaker 1: came across by way of a researcher named Matt Sachs. 307 00:17:31,280 --> 00:17:33,520 Speaker 1: So I was watching an interview with him that I 308 00:17:33,560 --> 00:17:36,440 Speaker 1: found on the internet. And uh and he mentioned that 309 00:17:36,560 --> 00:17:41,240 Speaker 1: in demonstrating musical free song in his lectures, he used 310 00:17:41,280 --> 00:17:45,000 Speaker 1: an isolated track of the background vocals from the song 311 00:17:45,040 --> 00:17:48,120 Speaker 1: Gimme Shelter by the Rolling Stones, and those background vocals 312 00:17:48,119 --> 00:17:52,000 Speaker 1: are sung by a singer named Mary Clayton. And when 313 00:17:52,000 --> 00:17:54,919 Speaker 1: you when you, when I hear them in the song, 314 00:17:54,960 --> 00:17:57,280 Speaker 1: I mean, I love Gimme Shelter. It's classic rock song 315 00:17:57,320 --> 00:17:59,880 Speaker 1: and it's great, but the song itself does not give 316 00:17:59,880 --> 00:18:04,480 Speaker 1: me chills. However, the isolated background vocals by Mary Clayton 317 00:18:04,640 --> 00:18:08,000 Speaker 1: absolutely give me chills, it all up and down the body. 318 00:18:08,600 --> 00:18:11,000 Speaker 1: Uh And and I think that's interesting too, that you 319 00:18:11,000 --> 00:18:14,320 Speaker 1: could actually heighten the effect in some cases by removing 320 00:18:14,440 --> 00:18:17,560 Speaker 1: other elements and isolating just one part of a song. 321 00:18:18,080 --> 00:18:20,119 Speaker 1: Uh And Sax has actually said in this interview, I 322 00:18:20,200 --> 00:18:23,399 Speaker 1: was watching that, um something like nine percent of people 323 00:18:23,520 --> 00:18:25,919 Speaker 1: say that this one example gives them chills. It seems 324 00:18:25,920 --> 00:18:28,320 Speaker 1: to be like a sort of home run example to use. 325 00:18:29,000 --> 00:18:31,200 Speaker 1: Let's try it on our audience for a second. Now 326 00:18:31,320 --> 00:18:34,520 Speaker 1: we're gonna give you the caveat here that because of 327 00:18:35,359 --> 00:18:38,200 Speaker 1: legal fair use stuff, I can only play about ten 328 00:18:38,240 --> 00:18:40,800 Speaker 1: seconds for you. So you may not feel it in 329 00:18:40,800 --> 00:18:42,919 Speaker 1: this moment, but perhaps if you look this up on 330 00:18:42,920 --> 00:18:45,679 Speaker 1: your own and listen to the full thing. However, I 331 00:18:45,720 --> 00:18:47,879 Speaker 1: gotta say, um, when I listened to this track for 332 00:18:47,920 --> 00:18:51,080 Speaker 1: the first time with this isolated Mary Clayton thing, it 333 00:18:51,160 --> 00:18:54,400 Speaker 1: kicked in for me pretty quickly. So here, let's play 334 00:18:54,400 --> 00:19:08,960 Speaker 1: a little bit of that track right now. So that's 335 00:19:08,960 --> 00:19:14,480 Speaker 1: the Mary Clayton isolated vocal there and powerful. Yeah, absolutely 336 00:19:14,680 --> 00:19:17,720 Speaker 1: is um. There's a lot of ways that people have 337 00:19:17,880 --> 00:19:21,800 Speaker 1: described this feeling, like, like, what are a few of them? Oh? Yeah, 338 00:19:21,960 --> 00:19:24,520 Speaker 1: So there are different terms people of use. Some people 339 00:19:24,560 --> 00:19:29,000 Speaker 1: call it aesthetic chills. Some people say musical chills. Because 340 00:19:29,320 --> 00:19:32,719 Speaker 1: obviously part of the sensation is similar to feeling cold, 341 00:19:32,800 --> 00:19:36,120 Speaker 1: they're also somewhat different. There's a a tingling or shivering 342 00:19:36,160 --> 00:19:39,320 Speaker 1: sensation that runs up different parts of the body. Different 343 00:19:39,920 --> 00:19:43,160 Speaker 1: uh studies have looked at feeling this in different parts 344 00:19:43,160 --> 00:19:44,879 Speaker 1: of the body, but it seems to sometimes happen in 345 00:19:44,920 --> 00:19:47,400 Speaker 1: the limbs, like in the arms or legs or up 346 00:19:47,400 --> 00:19:50,160 Speaker 1: and down the spine. Of course, there is the term 347 00:19:50,200 --> 00:19:52,320 Speaker 1: free so on which we've been using today, and that's 348 00:19:52,359 --> 00:19:55,359 Speaker 1: from the French word meaning shiver. Uh. Some people have 349 00:19:55,520 --> 00:20:00,920 Speaker 1: used the term uh skin orgasm, which that's simes uh 350 00:20:01,320 --> 00:20:06,200 Speaker 1: in some ways kind of kind of phenomenologically accurate with 351 00:20:06,320 --> 00:20:10,000 Speaker 1: some of the sensations, but it also brings in a 352 00:20:10,000 --> 00:20:13,639 Speaker 1: lot of baggage that's not that's perhaps confusing. Yeah, and 353 00:20:13,680 --> 00:20:16,240 Speaker 1: in particular, um, because I have also come across that 354 00:20:16,320 --> 00:20:19,520 Speaker 1: term before, and I get it in like a almost 355 00:20:19,560 --> 00:20:23,320 Speaker 1: like a cut ce description kind of way. However, at 356 00:20:23,359 --> 00:20:27,320 Speaker 1: least in my understanding, there's nothing really sexual associated with 357 00:20:27,359 --> 00:20:30,520 Speaker 1: this phenomenon whatsoever. So it does just kind of like 358 00:20:30,640 --> 00:20:34,760 Speaker 1: add another element that doesn't actually exist, at least to 359 00:20:34,840 --> 00:20:38,000 Speaker 1: my understanding. Yeah, it brings in baggage that is not 360 00:20:38,040 --> 00:20:40,920 Speaker 1: necessary to understand the concept, and so it's probably better 361 00:20:41,000 --> 00:20:42,560 Speaker 1: not to do that one if you're trying to ask 362 00:20:42,640 --> 00:20:45,040 Speaker 1: what is this thing and how can we explain it? Right? 363 00:20:45,520 --> 00:20:47,320 Speaker 1: And then there's one other thing we should probably mention 364 00:20:47,400 --> 00:20:49,199 Speaker 1: just by way of saying that we're not really going 365 00:20:49,280 --> 00:20:51,760 Speaker 1: to get into this today, which is the the concept 366 00:20:51,800 --> 00:20:53,960 Speaker 1: of a s MR. People have asked us to talk 367 00:20:54,000 --> 00:20:55,840 Speaker 1: about this on the show before. I guess we've never 368 00:20:55,840 --> 00:20:58,400 Speaker 1: really gone into it in depth. It seems like this 369 00:20:58,440 --> 00:21:01,840 Speaker 1: may have some kind of overlap with what we're talking 370 00:21:01,840 --> 00:21:04,760 Speaker 1: about today, or at least share some boundaries, but we're 371 00:21:04,760 --> 00:21:07,479 Speaker 1: just gonna bracket that as as a concept that maybe 372 00:21:07,520 --> 00:21:10,000 Speaker 1: in some ways related, but it's different from what we're 373 00:21:10,000 --> 00:21:13,800 Speaker 1: talking about. Rights. Anecdotally, I can say for myself, I 374 00:21:13,960 --> 00:21:18,320 Speaker 1: experience freesan often and strongly, but I don't believe I've 375 00:21:18,359 --> 00:21:22,800 Speaker 1: ever experienced a s MR. So I I can't explain that. 376 00:21:22,840 --> 00:21:25,040 Speaker 1: But you, I completely agree with you. It's it's it's 377 00:21:25,320 --> 00:21:29,000 Speaker 1: uh could be related, but definitely bracketed and separate. Yeah. 378 00:21:29,280 --> 00:21:30,879 Speaker 1: So for the rest of this episode, we're gonna be 379 00:21:30,880 --> 00:21:33,879 Speaker 1: focusing on this feeling of frees on the subject of 380 00:21:33,920 --> 00:21:36,680 Speaker 1: the psycho physiological response to music, and we're gonna be 381 00:21:36,720 --> 00:21:40,000 Speaker 1: asking this question of why do certain songs, specifically certain 382 00:21:40,040 --> 00:21:43,760 Speaker 1: moments in songs elicit such a strong reaction in the body. 383 00:21:44,280 --> 00:21:46,399 Speaker 1: What does it have to do with pleasure and pain 384 00:21:46,560 --> 00:21:49,920 Speaker 1: and the obscure functioning of the reward pathways and our brains? 385 00:21:50,240 --> 00:21:54,159 Speaker 1: Who gets it, what causes it? And why is it pleasurable? Uh? 386 00:21:54,200 --> 00:21:56,320 Speaker 1: And it's so Yeah, I'm really glad you brought the 387 00:21:56,359 --> 00:21:59,240 Speaker 1: subject up, Seth, because I think it's a fascinating puzzle, 388 00:21:59,280 --> 00:22:02,320 Speaker 1: one that we probably can't conclusively answer, but we can 389 00:22:02,400 --> 00:22:04,560 Speaker 1: raise findings that that point us off in a lot 390 00:22:04,560 --> 00:22:06,800 Speaker 1: of interesting directions. I think maybe the listeners will have 391 00:22:06,800 --> 00:22:08,879 Speaker 1: a lot of fun trying to see if they can 392 00:22:08,920 --> 00:22:11,840 Speaker 1: put this puzzle together themselves as well. And I think 393 00:22:11,880 --> 00:22:15,879 Speaker 1: with those puzzle pieces, it does make the experience of 394 00:22:15,920 --> 00:22:20,560 Speaker 1: experiencing freezon a bit more fun when you can perhaps 395 00:22:20,560 --> 00:22:23,920 Speaker 1: recognize those patterns in the music you're listening to and go, oh, 396 00:22:23,960 --> 00:22:26,640 Speaker 1: perhaps that's the reason why I'm feeling this right now, 397 00:22:26,960 --> 00:22:30,800 Speaker 1: and get kind of a repeatable experiment where you can go, oh, 398 00:22:31,040 --> 00:22:34,160 Speaker 1: I've noticed that X, Y or Z are what cause 399 00:22:34,200 --> 00:22:37,240 Speaker 1: it in my own sensations, and then it is. But 400 00:22:37,400 --> 00:22:40,680 Speaker 1: it's a little self experimentational and it's honestly, I find 401 00:22:40,680 --> 00:22:42,919 Speaker 1: it kind of fun. Yeah. Ohh. It's one of the 402 00:22:42,960 --> 00:22:46,040 Speaker 1: most dangerous and thrilling of states, the state of being 403 00:22:46,080 --> 00:22:52,480 Speaker 1: able to partially understand your own mind. Yes, okay, so 404 00:22:52,560 --> 00:22:58,120 Speaker 1: looking in the phenomenology of of these music thrills of freeesan. Unfortunately, 405 00:22:58,200 --> 00:23:00,639 Speaker 1: this is one of those areas where there is a 406 00:23:00,680 --> 00:23:03,600 Speaker 1: bunch of existing research at this point, but a lot 407 00:23:03,640 --> 00:23:08,359 Speaker 1: of it is focused on related but slightly different questions, 408 00:23:08,400 --> 00:23:11,480 Speaker 1: which is just always a mess to wade through, so 409 00:23:11,720 --> 00:23:13,720 Speaker 1: there will be there are different studies out there that 410 00:23:13,800 --> 00:23:18,000 Speaker 1: sort of use different terminology to describe the feelings. Clearly, 411 00:23:18,040 --> 00:23:21,960 Speaker 1: these feelings overlap a lot. Sometimes they include or isolate 412 00:23:22,000 --> 00:23:25,359 Speaker 1: different components of it. Uh. Some call it chills, some 413 00:23:25,480 --> 00:23:29,320 Speaker 1: call it thrills. Some consider goose bumps a necessary part 414 00:23:29,359 --> 00:23:33,320 Speaker 1: of freeesan, some don't. Some only look at goose bumps 415 00:23:33,320 --> 00:23:36,560 Speaker 1: and not these other sensations. So, unfortunately, when we're talking 416 00:23:36,600 --> 00:23:39,040 Speaker 1: about the research going forward, you're just going to have 417 00:23:39,119 --> 00:23:41,960 Speaker 1: to accept and keep in mind that what we're talking 418 00:23:42,000 --> 00:23:45,200 Speaker 1: about here is not a unified phenomenon with a consistent 419 00:23:45,240 --> 00:23:48,199 Speaker 1: definition across all these studies, but sort of a a 420 00:23:48,280 --> 00:23:52,000 Speaker 1: system of related phenomena with family resemblances that have been 421 00:23:52,040 --> 00:23:54,520 Speaker 1: approached from a bunch of different angles. But it's clear 422 00:23:54,560 --> 00:23:57,320 Speaker 1: that they're all at least somewhat related. They're all part 423 00:23:57,359 --> 00:24:01,760 Speaker 1: of this intense psychophysiological response to music. So what are 424 00:24:01,800 --> 00:24:05,560 Speaker 1: the actual descriptive characteristics of the freezon response. Well, I 425 00:24:05,600 --> 00:24:09,240 Speaker 1: was watching a twenty nineteen conference presentation by a researcher 426 00:24:09,320 --> 00:24:11,520 Speaker 1: working in the neuroscience of music. I'm going to refer 427 00:24:11,560 --> 00:24:14,560 Speaker 1: to several times throughout this episode, her name is Psyche Louis, 428 00:24:15,320 --> 00:24:18,160 Speaker 1: and she lays out some of the most common responses, 429 00:24:18,520 --> 00:24:21,720 Speaker 1: breaking down responses to music into categories of the sort 430 00:24:21,720 --> 00:24:25,679 Speaker 1: of abstract versus the visceral or somatic. Now, in the 431 00:24:25,720 --> 00:24:29,800 Speaker 1: abstract responses to music, you've got general strong emotions, You've 432 00:24:29,800 --> 00:24:33,320 Speaker 1: got the idea of feeling transported to another place or time. 433 00:24:33,840 --> 00:24:36,800 Speaker 1: You've got the feeling of all. You've got losing your 434 00:24:36,840 --> 00:24:40,000 Speaker 1: sense of time or where you are, or the avocation 435 00:24:40,040 --> 00:24:42,480 Speaker 1: of memories. But then on the other hand, you've got 436 00:24:42,520 --> 00:24:45,760 Speaker 1: these visceral and somatic responses to music. And these are 437 00:24:45,800 --> 00:24:48,720 Speaker 1: the responses in the body, the ones we're focused on today, 438 00:24:48,760 --> 00:24:55,760 Speaker 1: which are chills, goose bumps, lump in the throat, heart racing, crying, uh, 439 00:24:55,920 --> 00:24:58,960 Speaker 1: feeling in the pit of the stomach, and generally the 440 00:24:59,119 --> 00:25:03,600 Speaker 1: sort of pleasure bowl. Appraisal of these sensations in the body, Seth, 441 00:25:03,680 --> 00:25:05,439 Speaker 1: what do you think about the list of sensations in 442 00:25:05,440 --> 00:25:10,520 Speaker 1: the body? Does that ring true to you? Yeah? And um. 443 00:25:10,680 --> 00:25:14,280 Speaker 1: Since uh, looking into this more recently, I've actually been 444 00:25:14,280 --> 00:25:19,640 Speaker 1: paying more attention to what I personally experience, and I 445 00:25:19,680 --> 00:25:23,600 Speaker 1: did not realize that goose bumps were such a part 446 00:25:23,720 --> 00:25:27,199 Speaker 1: of my own personal frees on experience, but while listening 447 00:25:27,200 --> 00:25:29,840 Speaker 1: to so many frees on inducing tracks over the past 448 00:25:29,880 --> 00:25:32,320 Speaker 1: few days and then actually like looking at my body 449 00:25:32,359 --> 00:25:34,800 Speaker 1: and being like, oh, there they are, you know, there 450 00:25:35,119 --> 00:25:38,280 Speaker 1: there are my goose bumps, and UM, so yeah, I know, 451 00:25:38,359 --> 00:25:41,640 Speaker 1: I fully believe that to be true. And UM, here's 452 00:25:41,640 --> 00:25:44,159 Speaker 1: another thing that I believe is going to get a 453 00:25:44,240 --> 00:25:46,720 Speaker 1: bit anecdotal when it comes to who gets frees on 454 00:25:46,840 --> 00:25:49,399 Speaker 1: from music. And I apologize for how many times I'm 455 00:25:49,400 --> 00:25:52,840 Speaker 1: gonna say anecdotal, but this is a very anecdotal kind 456 00:25:52,880 --> 00:25:56,760 Speaker 1: of phenomenon. It's it's difficult to really hammer it down, 457 00:25:56,960 --> 00:25:59,720 Speaker 1: and um, depending upon the source. I've looked at a 458 00:25:59,720 --> 00:26:03,159 Speaker 1: few A lot of people say about two thirds of 459 00:26:03,200 --> 00:26:06,320 Speaker 1: people experience free song, but I've seen it as low 460 00:26:06,359 --> 00:26:09,480 Speaker 1: as fifty five and as high as eighties six. So 461 00:26:09,560 --> 00:26:12,520 Speaker 1: that's a pretty broad spectrum for how many people they 462 00:26:12,560 --> 00:26:15,480 Speaker 1: believe to experience this. As to the reports of the 463 00:26:15,480 --> 00:26:18,960 Speaker 1: the inconsistency and uh in the reported prevalence of frees on, 464 00:26:19,080 --> 00:26:21,160 Speaker 1: you go out and survey people say, you know, hey, 465 00:26:21,200 --> 00:26:23,919 Speaker 1: how many of you, um, on average, have these chills 466 00:26:23,920 --> 00:26:25,800 Speaker 1: and goose bumps and all these things? When you listen 467 00:26:25,840 --> 00:26:29,240 Speaker 1: to music, you're gonna get different answers, probably because the 468 00:26:29,320 --> 00:26:31,879 Speaker 1: question is being asked in a different way or with 469 00:26:32,000 --> 00:26:34,760 Speaker 1: different criteria. So this is one of the problems with 470 00:26:35,240 --> 00:26:39,480 Speaker 1: the phenomenon not being consistently defined or measured. And plus, 471 00:26:39,480 --> 00:26:42,760 Speaker 1: self diagnosis is always a pretty tricky thing in general too, 472 00:26:42,800 --> 00:26:45,920 Speaker 1: with something so kind of ephemeral, And perhaps that is 473 00:26:45,960 --> 00:26:50,360 Speaker 1: why some studies focused on physical reactions like goose bumps. 474 00:26:50,640 --> 00:26:53,119 Speaker 1: It's like, you can't lie if I see your goose bumps. 475 00:26:53,160 --> 00:26:56,320 Speaker 1: There they are and there they aren't. Yeah, but I 476 00:26:56,400 --> 00:26:58,520 Speaker 1: think it's clear that like more than half of people 477 00:26:58,680 --> 00:27:01,040 Speaker 1: have frees on Yeah, yeah, that that seems to be 478 00:27:01,119 --> 00:27:03,920 Speaker 1: the case for sure. And um, I can say this 479 00:27:04,280 --> 00:27:08,040 Speaker 1: so um again, for the podcast that I host, Record 480 00:27:08,040 --> 00:27:11,000 Speaker 1: Store Society, we have a discord channel. Um, if people 481 00:27:11,000 --> 00:27:13,399 Speaker 1: don't know what discord is, it's more or less a 482 00:27:13,440 --> 00:27:16,000 Speaker 1: message board that that people you know, go and it's 483 00:27:16,000 --> 00:27:19,399 Speaker 1: exclusively for people who listen to this podcast that I host. 484 00:27:19,920 --> 00:27:22,400 Speaker 1: And so therefore everyone on there is a big old 485 00:27:22,480 --> 00:27:24,920 Speaker 1: music nerd. Like that's just kind of like you wouldn't 486 00:27:24,960 --> 00:27:27,480 Speaker 1: go there if you weren't. So the other day, for 487 00:27:27,640 --> 00:27:30,440 Speaker 1: Zon got brought up because I actually heard this new 488 00:27:30,520 --> 00:27:34,480 Speaker 1: song um that I really enjoyed called Paranoia Party by 489 00:27:34,480 --> 00:27:38,400 Speaker 1: Francis Forever, and when I heard it, I absolutely got 490 00:27:38,440 --> 00:27:41,080 Speaker 1: tons of frison from it, like, um, there's a real 491 00:27:41,160 --> 00:27:45,080 Speaker 1: nice build, there's a big change from like quiet to loud. 492 00:27:45,440 --> 00:27:48,119 Speaker 1: There's a lot of patterns kind of breaking down and 493 00:27:48,160 --> 00:27:50,520 Speaker 1: then re emerging, a lot of these things that perhaps 494 00:27:50,760 --> 00:28:04,560 Speaker 1: influence frees on and um. So I posted it on 495 00:28:04,720 --> 00:28:07,440 Speaker 1: the discord channel for Record Store Society, going, oh man, 496 00:28:07,480 --> 00:28:09,840 Speaker 1: I get big time frees on for this, and a 497 00:28:09,840 --> 00:28:12,439 Speaker 1: couple of people were like, I had to google that word, 498 00:28:12,800 --> 00:28:15,399 Speaker 1: but now that I know what you're talking about, me too. 499 00:28:15,440 --> 00:28:17,000 Speaker 1: And then someone else go like, oh, me too, and 500 00:28:17,040 --> 00:28:19,040 Speaker 1: someone else would say like, me too, And I have 501 00:28:19,080 --> 00:28:22,040 Speaker 1: to say that this is again, here's that word anecdotal, 502 00:28:22,320 --> 00:28:26,879 Speaker 1: entirely anecdotal. But like one of the people on this 503 00:28:27,119 --> 00:28:31,800 Speaker 1: message board for extreme music nerds, everybody was feeling It's 504 00:28:31,840 --> 00:28:35,399 Speaker 1: like there there wasn't anybody who did not know what 505 00:28:35,520 --> 00:28:39,680 Speaker 1: the feeling and sensation of freeson was. So it says 506 00:28:39,720 --> 00:28:43,240 Speaker 1: something about attention and it's that chicken or egg thing again. 507 00:28:43,280 --> 00:28:45,760 Speaker 1: I believe also at least one study I was looking 508 00:28:45,760 --> 00:28:49,360 Speaker 1: at found that people tend to find familiar music more 509 00:28:49,400 --> 00:28:52,840 Speaker 1: likely to cause frees on. Yeah, I can. I can 510 00:28:52,880 --> 00:28:55,320 Speaker 1: definitely see that in particular with that song I was 511 00:28:55,400 --> 00:28:59,800 Speaker 1: just talking about the first time I heard it, certain 512 00:28:59,840 --> 00:29:01,680 Speaker 1: things things would make a hit for me. For example, 513 00:29:02,000 --> 00:29:04,960 Speaker 1: a sudden change in volume, because that's something that is 514 00:29:05,000 --> 00:29:06,680 Speaker 1: going to hit me no matter what. I don't need 515 00:29:06,720 --> 00:29:10,400 Speaker 1: any prior knowledge. Just volume is volume. But then the 516 00:29:10,480 --> 00:29:14,360 Speaker 1: second time I listened to that same song, the anticipation 517 00:29:14,680 --> 00:29:18,720 Speaker 1: that I knew that the volume change was coming that 518 00:29:18,800 --> 00:29:20,280 Speaker 1: hit me in a different way too, And I felt 519 00:29:20,280 --> 00:29:22,720 Speaker 1: it from the anticipation as well. So yeah, yeah, I 520 00:29:23,840 --> 00:29:26,560 Speaker 1: believe that as well, that that the a familiar song 521 00:29:27,000 --> 00:29:31,920 Speaker 1: can cause it for reasons other than just purely um, 522 00:29:31,920 --> 00:29:36,360 Speaker 1: what's there. It's not just about anticipatory chills, yes, chill 523 00:29:36,600 --> 00:29:39,680 Speaker 1: chills and feelings of free song leading up to the 524 00:29:39,720 --> 00:29:44,160 Speaker 1: moment of sort of the peak of that you're you're anticipating, right, yes, 525 00:29:44,320 --> 00:29:47,040 Speaker 1: roller coaster, yes, yeah, But I feel like what we 526 00:29:47,040 --> 00:29:49,480 Speaker 1: were just saying would sort of go along with it 527 00:29:49,520 --> 00:29:51,760 Speaker 1: with the study that I was looking at. Seth, I 528 00:29:51,760 --> 00:29:55,160 Speaker 1: think I actually dug this up because you you found 529 00:29:55,200 --> 00:29:58,280 Speaker 1: an article a popular level article by one of the 530 00:29:58,320 --> 00:30:01,360 Speaker 1: authors of this study, So this was by Mitchell C. 531 00:30:01,560 --> 00:30:06,240 Speaker 1: Culver and Amani L. Lay published in the Journal Psychology 532 00:30:06,280 --> 00:30:09,680 Speaker 1: of Music in two sixteen called Getting Aesthetic Chills from 533 00:30:09,760 --> 00:30:14,360 Speaker 1: Music The connection between Openness to Experience and freesan. So 534 00:30:14,400 --> 00:30:17,200 Speaker 1: this is another entry in the the who gets freesan 535 00:30:17,320 --> 00:30:22,360 Speaker 1: from music? Question? So this study compared people's reports of 536 00:30:22,400 --> 00:30:26,320 Speaker 1: their feelings of freesan and music with physiological responses like 537 00:30:26,360 --> 00:30:31,720 Speaker 1: measuring things like skin conductance responses, and a personality typology 538 00:30:31,800 --> 00:30:34,959 Speaker 1: test that was based on the five factor model. Now, 539 00:30:35,000 --> 00:30:37,400 Speaker 1: if you're not familiar that, the five factor model is 540 00:30:37,440 --> 00:30:41,680 Speaker 1: a way of sort of classifying people's personalities according to 541 00:30:42,000 --> 00:30:45,000 Speaker 1: five different metrics, so you know, you can sort of 542 00:30:45,040 --> 00:30:47,840 Speaker 1: get an idea of many things about a person and 543 00:30:47,880 --> 00:30:50,719 Speaker 1: what kinds of preferences they might have, what kinds of 544 00:30:50,720 --> 00:30:54,000 Speaker 1: behaviors they might show if you know their scores on 545 00:30:54,080 --> 00:30:59,160 Speaker 1: five different measures, and these measures would be conscientiousness, agreeableness, 546 00:30:59,440 --> 00:31:05,480 Speaker 1: near otisism, extroversion, and openness. So listeners who experienced free 547 00:31:05,480 --> 00:31:08,440 Speaker 1: songs tended on average to be higher in the trade 548 00:31:08,600 --> 00:31:12,440 Speaker 1: openness it's also known as openness to experience. I was 549 00:31:12,480 --> 00:31:16,200 Speaker 1: looking for a good, uh succinct definition of openness to experience. 550 00:31:16,280 --> 00:31:19,920 Speaker 1: This one comes from the Encyclopedia of Applied Psychology by 551 00:31:20,040 --> 00:31:23,760 Speaker 1: McRae in two thousand four, and it identifies that the 552 00:31:24,160 --> 00:31:28,480 Speaker 1: relevant traits of openness to experience our tolerance of ambiguity, 553 00:31:29,040 --> 00:31:38,320 Speaker 1: low dogmatism, need for variety, esthetic sensitivity, absorption, unconventionality, intellectual curiosity, 554 00:31:38,480 --> 00:31:42,360 Speaker 1: and intuition. So people who are high in the trade 555 00:31:42,440 --> 00:31:46,280 Speaker 1: openness tend to be more interested in and tend to 556 00:31:46,360 --> 00:31:51,280 Speaker 1: prefer difference, variety, and novelty, whereas people who are lower 557 00:31:51,360 --> 00:31:55,840 Speaker 1: in trade openness tend to prefer what's familiar and traditional. Wow, 558 00:31:55,920 --> 00:31:58,959 Speaker 1: it's interesting. So in a write up feature about this research, 559 00:31:59,040 --> 00:32:02,680 Speaker 1: one of the authors, Mitchell C. Culver, wrote, quote, while 560 00:32:02,760 --> 00:32:06,920 Speaker 1: previous research had connected openness to experience with freesan, most 561 00:32:07,040 --> 00:32:10,760 Speaker 1: researchers had concluded that listeners were experiencing freesan as a 562 00:32:10,920 --> 00:32:14,440 Speaker 1: result of a deeply emotional reaction they were having to 563 00:32:14,560 --> 00:32:17,760 Speaker 1: the music. So right, the idea would have been maybe 564 00:32:17,800 --> 00:32:20,040 Speaker 1: people who are higher and openness to experience are just 565 00:32:20,120 --> 00:32:23,200 Speaker 1: more likely to have deep emotional connections with music. But 566 00:32:24,040 --> 00:32:27,440 Speaker 1: uh Culver goes on to say, in contrast, the results 567 00:32:27,440 --> 00:32:30,840 Speaker 1: of our studies show that it's the cognitive components of 568 00:32:30,960 --> 00:32:35,040 Speaker 1: openness to experience, such as making mental predictions about how 569 00:32:35,160 --> 00:32:39,680 Speaker 1: the music is going to unfold, or engaging in musical imagery, 570 00:32:39,840 --> 00:32:42,960 Speaker 1: which is a way of processing music that combines listening 571 00:32:43,080 --> 00:32:46,680 Speaker 1: with daydreaming, that are associated with freesan to a greater 572 00:32:46,800 --> 00:32:50,600 Speaker 1: degree than the emotional components. In a whole bunch of 573 00:32:51,480 --> 00:32:55,520 Speaker 1: kind of conflicting information that we are receiving and kind 574 00:32:55,560 --> 00:32:58,320 Speaker 1: of like experiencing with this whole thing. That's one of 575 00:32:58,360 --> 00:33:01,440 Speaker 1: the biggest ones to me is that lie the emotional 576 00:33:01,560 --> 00:33:07,560 Speaker 1: experience of openness based on the cognitive components of openness, 577 00:33:07,720 --> 00:33:10,720 Speaker 1: You know what I mean? Like that that that's that's 578 00:33:10,800 --> 00:33:13,840 Speaker 1: that's a head scratcher, that that's It makes sense to 579 00:33:13,920 --> 00:33:16,960 Speaker 1: me in a way. But again, we're talking about the 580 00:33:17,240 --> 00:33:20,920 Speaker 1: emotion plus the intellect in a very strange way. Yeah, exactly. So, 581 00:33:21,240 --> 00:33:23,800 Speaker 1: So it's possible that their their findings are incorrect, But 582 00:33:24,080 --> 00:33:27,920 Speaker 1: if Culver and Ela lately are correct, what they're saying 583 00:33:28,040 --> 00:33:30,640 Speaker 1: is that people who are high in the trade openness 584 00:33:31,080 --> 00:33:34,960 Speaker 1: are perhaps not getting more freaes on experiences because they're 585 00:33:35,000 --> 00:33:38,920 Speaker 1: more emotional, but because they tend to engage in more 586 00:33:39,160 --> 00:33:43,360 Speaker 1: pattern recognition and prediction behavior when listening to music, that 587 00:33:43,440 --> 00:33:45,440 Speaker 1: they're more likely to be engaging with the piece of 588 00:33:45,560 --> 00:33:47,880 Speaker 1: music in a way that seeks out patterns in the 589 00:33:48,000 --> 00:33:51,840 Speaker 1: structure of the song and tries to predict what's coming next, 590 00:33:52,400 --> 00:33:56,800 Speaker 1: And that that activity is more highly associated with these 591 00:33:56,920 --> 00:34:01,520 Speaker 1: extremely powerful psychophysiological experience arians is more so than the 592 00:34:01,840 --> 00:34:05,640 Speaker 1: than the emotional components. And I think that's interesting for sure. Yeah, 593 00:34:05,920 --> 00:34:07,920 Speaker 1: and and and at least in my own experience, I 594 00:34:07,960 --> 00:34:10,200 Speaker 1: can definitely feel that to be true if I look 595 00:34:10,200 --> 00:34:14,560 Speaker 1: at the songs that give me free SAN patterns and 596 00:34:14,680 --> 00:34:17,920 Speaker 1: then a subversion of a pattern or a almost like 597 00:34:18,360 --> 00:34:21,359 Speaker 1: doubling down on a pattern, like like either way can 598 00:34:21,440 --> 00:34:25,040 Speaker 1: really do it. But but but really am some sort 599 00:34:25,080 --> 00:34:28,000 Speaker 1: of accent upon a pattern? Whichever path you want to 600 00:34:28,040 --> 00:34:30,560 Speaker 1: take on that this will come back. A major theme 601 00:34:30,640 --> 00:34:34,439 Speaker 1: in the research about the underlying mechanisms of freesan has 602 00:34:34,480 --> 00:34:38,680 Speaker 1: to do with patterns and prediction and UH and anticipation. 603 00:34:39,480 --> 00:34:41,400 Speaker 1: But anyway, to move on to other things. So that 604 00:34:41,560 --> 00:34:43,479 Speaker 1: that was that people who are higher in the trade 605 00:34:43,560 --> 00:34:47,000 Speaker 1: openness tend to report more freesans UH. There is another 606 00:34:47,320 --> 00:34:49,759 Speaker 1: There is apparently a social component. I was reading a 607 00:34:49,840 --> 00:34:53,240 Speaker 1: note that a researcher named Alf Gabrielsson in two thousand twelve, 608 00:34:53,400 --> 00:34:57,239 Speaker 1: in a work called Strong Experiences with Music, reported that 609 00:34:57,320 --> 00:35:00,520 Speaker 1: people who listen to music together with a friend partner 610 00:35:00,640 --> 00:35:04,520 Speaker 1: experience more activation of the autonomic nervous system, which is 611 00:35:04,520 --> 00:35:07,840 Speaker 1: associated with these these reactions in the body. The autonomic 612 00:35:07,880 --> 00:35:11,240 Speaker 1: nervous system is UH is the part of the nervous 613 00:35:11,280 --> 00:35:15,480 Speaker 1: system that controls things that are that are involuntary in 614 00:35:15,560 --> 00:35:18,200 Speaker 1: your body, such as maintaining of course, you know, heart 615 00:35:18,320 --> 00:35:21,000 Speaker 1: rate and digestion and breathing and all that, but also 616 00:35:21,200 --> 00:35:26,319 Speaker 1: homeostatic responses, responses to changes in temperature, and the fight 617 00:35:26,440 --> 00:35:29,040 Speaker 1: or flight response, which is specifically a subset of the 618 00:35:29,120 --> 00:35:32,279 Speaker 1: autonomic nervous system known as the sympathetic nervous system, and 619 00:35:32,360 --> 00:35:36,360 Speaker 1: the sympathetic nervous system appears to often be activated in 620 00:35:36,520 --> 00:35:40,400 Speaker 1: these frees on experiences. So some things going on in 621 00:35:40,480 --> 00:35:45,160 Speaker 1: the body where a musical free san has something in 622 00:35:45,360 --> 00:35:48,440 Speaker 1: common with the fight or flight response, which is very 623 00:35:48,480 --> 00:35:56,880 Speaker 1: interesting and we'll get more into that later on. Thank Now, 624 00:35:56,960 --> 00:35:59,720 Speaker 1: another way to approach this question of who gets musical 625 00:35:59,760 --> 00:36:02,759 Speaker 1: free so on um is can we learn anything by 626 00:36:02,840 --> 00:36:06,279 Speaker 1: identifying what people have in common when they don't experience 627 00:36:06,440 --> 00:36:10,960 Speaker 1: musical frees on. Uh So, Again, I mentioned earlier that 628 00:36:11,400 --> 00:36:15,080 Speaker 1: presentation I was watching by the researchers Psyche Louis uh 629 00:36:15,200 --> 00:36:17,839 Speaker 1: and she was talking about studies that have been done 630 00:36:17,960 --> 00:36:21,880 Speaker 1: with people who have what's called musical and hedonia, and 631 00:36:22,000 --> 00:36:24,600 Speaker 1: this is a condition where people just do not really 632 00:36:24,760 --> 00:36:28,239 Speaker 1: derive pleasure from music. Now, it's important to specify what 633 00:36:28,440 --> 00:36:32,000 Speaker 1: musical and hedonia is not. It's different from what's known 634 00:36:32,040 --> 00:36:35,440 Speaker 1: as a musica or tone deafness. People with musical and 635 00:36:35,600 --> 00:36:39,720 Speaker 1: hadonia do not show major errors in their perception of music. 636 00:36:39,840 --> 00:36:43,000 Speaker 1: They can hear it just fine. And it's different from 637 00:36:43,160 --> 00:36:46,319 Speaker 1: general and hedonia. So people with musical and hedonia can 638 00:36:46,440 --> 00:36:50,080 Speaker 1: derive pleasure from other things. It's not a generalized lack 639 00:36:50,160 --> 00:36:53,040 Speaker 1: of pleasure. It's just a lack of pleasure from music. 640 00:36:53,760 --> 00:36:56,640 Speaker 1: And one thing Louis talks about is research that has 641 00:36:56,719 --> 00:37:00,400 Speaker 1: found that people with musical and hadonia have different patterns 642 00:37:00,440 --> 00:37:04,360 Speaker 1: of connectivity between the auditory regions of the brain and 643 00:37:04,640 --> 00:37:07,040 Speaker 1: a region of the brain known as the nucleus incumbents. 644 00:37:07,560 --> 00:37:12,040 Speaker 1: Uh So, the nucleus accumbens is important in the reward system. 645 00:37:12,520 --> 00:37:16,840 Speaker 1: It is used to drive motivation for the anticipation of rewards, 646 00:37:16,920 --> 00:37:21,320 Speaker 1: including things like food, sex, money, and drugs. Basically, like 647 00:37:21,440 --> 00:37:23,360 Speaker 1: anything you can think of that would be, you know, 648 00:37:23,520 --> 00:37:26,480 Speaker 1: kind of pleasurable stimulus that would really motivate you to 649 00:37:26,600 --> 00:37:29,680 Speaker 1: want to get more of it. That motivation to get 650 00:37:29,800 --> 00:37:32,520 Speaker 1: more of it is mediated by the reward system in 651 00:37:32,560 --> 00:37:36,120 Speaker 1: the brain, including the nucleus accumbans. This might be also 652 00:37:36,360 --> 00:37:39,520 Speaker 1: very unscientific for me to say, but all those things 653 00:37:39,600 --> 00:37:43,960 Speaker 1: also seem to have um elements of um anticipation and dopamine. 654 00:37:44,040 --> 00:37:47,280 Speaker 1: Oh yes, exactly. So the thrill you get in anticipation 655 00:37:48,040 --> 00:37:51,080 Speaker 1: of one of these things, food, sex, money, drugs, any 656 00:37:51,120 --> 00:37:53,440 Speaker 1: of these these things, Uh, the thrill you get in 657 00:37:53,480 --> 00:37:56,600 Speaker 1: the brain while you're in pursuit of that goal is 658 00:37:56,760 --> 00:37:59,279 Speaker 1: very much related. That is the reward system working to 659 00:37:59,400 --> 00:38:03,160 Speaker 1: motivate your behavior. Now, another interesting thing about who gets 660 00:38:03,320 --> 00:38:07,319 Speaker 1: musical freesans. I was reading a about a study by 661 00:38:07,400 --> 00:38:12,360 Speaker 1: the Estonian neuroscientist Yak punk Sep, who found in research 662 00:38:12,480 --> 00:38:15,799 Speaker 1: in nineteen in the journal Music Perception that at least 663 00:38:15,880 --> 00:38:19,880 Speaker 1: in his study that women reported experiencing chills from music 664 00:38:20,080 --> 00:38:23,000 Speaker 1: somewhat more more often than men did, though obviously, people 665 00:38:23,040 --> 00:38:25,680 Speaker 1: of all genders get the chills. It found that it 666 00:38:25,760 --> 00:38:28,400 Speaker 1: was a little bit more common in women. And also 667 00:38:28,960 --> 00:38:32,799 Speaker 1: there was an interesting observation from punk sep study which 668 00:38:32,960 --> 00:38:37,840 Speaker 1: was this quote, many mistakenly believe that happiness in music 669 00:38:38,080 --> 00:38:41,880 Speaker 1: is more influential in evoking the response than sadness. A 670 00:38:42,000 --> 00:38:46,120 Speaker 1: series of correlational studies analyzing the subjective experience of chills 671 00:38:46,200 --> 00:38:48,880 Speaker 1: in groups of students listening to a variety of musical 672 00:38:48,920 --> 00:38:52,800 Speaker 1: pieces indicated that chills are related to the perceived emotional 673 00:38:52,920 --> 00:38:57,240 Speaker 1: content of various selections, with much stronger relations to perceived 674 00:38:57,440 --> 00:39:03,279 Speaker 1: sadness than happiness. So, according to poccepts research here, sad 675 00:39:03,480 --> 00:39:06,759 Speaker 1: music is more likely to cause free songs in reality, 676 00:39:07,320 --> 00:39:09,879 Speaker 1: but when people are just sort of asked to speculate, 677 00:39:10,320 --> 00:39:13,759 Speaker 1: they tend to believe that happy music causes it more. 678 00:39:14,400 --> 00:39:17,439 Speaker 1: Isn't that fascinating? And it makes me wonder like, could 679 00:39:17,480 --> 00:39:21,000 Speaker 1: this be related to confusion in reflecting on your own 680 00:39:21,120 --> 00:39:25,400 Speaker 1: experiences of free song Because maybe even though it actually 681 00:39:25,560 --> 00:39:29,840 Speaker 1: happens to you more often with negative valenced esthetic content, 682 00:39:29,960 --> 00:39:34,279 Speaker 1: you know, sad music, sad movies, the experience itself is 683 00:39:34,360 --> 00:39:38,040 Speaker 1: somehow pleasurable, So maybe you mistakenly believe it to be 684 00:39:38,200 --> 00:39:41,759 Speaker 1: caused by more positive valenced content in your memory. At 685 00:39:41,840 --> 00:39:44,600 Speaker 1: least I don't know that that's the the causal chain there, 686 00:39:44,640 --> 00:39:48,000 Speaker 1: but that that mistake that people make is interesting. Yeah, 687 00:39:48,040 --> 00:39:50,839 Speaker 1: it definitely could be some sort of confirmation bias, um, 688 00:39:51,040 --> 00:39:54,520 Speaker 1: because even now when you said that, I thought to myself, Okay, 689 00:39:54,560 --> 00:39:56,880 Speaker 1: what are all the examples I'm thinking of? They are 690 00:39:56,960 --> 00:40:01,200 Speaker 1: one percent happy songs, I I And I think part 691 00:40:01,239 --> 00:40:04,239 Speaker 1: of it, at least for me, is there's perhaps something 692 00:40:04,480 --> 00:40:08,279 Speaker 1: triumphant in a lot of the songs that creates the 693 00:40:08,400 --> 00:40:11,680 Speaker 1: free song feeling in me. Um, maybe a bit bombastic. 694 00:40:12,080 --> 00:40:13,960 Speaker 1: I'm not going to apologize that I get tons of 695 00:40:14,000 --> 00:40:17,319 Speaker 1: free song from limbs Rob, but you know, when when 696 00:40:17,440 --> 00:40:19,360 Speaker 1: when do you hear the people sing? Comes on? I 697 00:40:19,600 --> 00:40:22,360 Speaker 1: I get that feeling all over And there is something 698 00:40:22,800 --> 00:40:26,200 Speaker 1: that is triumphant about that song. But there's a there, 699 00:40:26,360 --> 00:40:28,759 Speaker 1: there's a subtlety to it, or there's an ambiguity to 700 00:40:28,880 --> 00:40:31,719 Speaker 1: it because the song and its lyrical content and even 701 00:40:31,880 --> 00:40:34,080 Speaker 1: something about the way it sounds implies a kind of 702 00:40:34,360 --> 00:40:37,560 Speaker 1: risk or threat. Does that make sense? It does? And 703 00:40:37,680 --> 00:40:40,919 Speaker 1: and and perhaps that kind of duality is just part 704 00:40:41,000 --> 00:40:43,320 Speaker 1: of music. In general, Like I was thinking about that 705 00:40:43,480 --> 00:40:46,120 Speaker 1: Beatles song. Um, it's like, I've got to believe it's 706 00:40:46,160 --> 00:40:48,680 Speaker 1: getting better, It's getting better all the time. And then 707 00:40:48,719 --> 00:40:50,960 Speaker 1: you hear John Lennon say it couldn't get much worse. 708 00:40:51,680 --> 00:40:54,960 Speaker 1: Were like, it seems like a very positive song unless 709 00:40:54,960 --> 00:40:58,000 Speaker 1: you pay attention, and it's like, oh no, no, this 710 00:40:58,120 --> 00:41:01,160 Speaker 1: is a very sad song that is hopeful perhaps, and 711 00:41:01,440 --> 00:41:04,239 Speaker 1: perhaps that that that dichotomy. It's just a part of 712 00:41:04,320 --> 00:41:06,759 Speaker 1: music in general, which which needs to be factored in 713 00:41:06,840 --> 00:41:09,719 Speaker 1: as well. Huh so do you yes for me? Do 714 00:41:09,800 --> 00:41:12,920 Speaker 1: you hear the people sing? It is sort of triumphant sounding, 715 00:41:13,000 --> 00:41:15,719 Speaker 1: but in its lyrical content it is a demonstration of 716 00:41:15,840 --> 00:41:20,520 Speaker 1: courage in the face of near certain death. Right Wow, yeah, 717 00:41:20,719 --> 00:41:24,200 Speaker 1: fascinating fascinating stuff anyway, So ready to move on to 718 00:41:24,360 --> 00:41:28,040 Speaker 1: maybe the next question, which is what triggers freesan and music, like, 719 00:41:28,200 --> 00:41:32,000 Speaker 1: what are the specific auditory triggers that bring it about 720 00:41:32,120 --> 00:41:34,480 Speaker 1: most often? Again, this is something where there's probably going 721 00:41:34,560 --> 00:41:38,160 Speaker 1: to be a lot of idiosyncrasy in people's responses, but 722 00:41:38,560 --> 00:41:41,839 Speaker 1: there are certain things that do tend to emerge as 723 00:41:42,280 --> 00:41:45,120 Speaker 1: as like the most common triggers. And here I'm going 724 00:41:45,200 --> 00:41:46,880 Speaker 1: to be referring to I can't remember if I already 725 00:41:46,880 --> 00:41:48,320 Speaker 1: said the name of this paper. I think I didn't. 726 00:41:48,360 --> 00:41:51,560 Speaker 1: But this is a paper that is a a review 727 00:41:52,120 --> 00:41:56,279 Speaker 1: of the of the existing research on frees on asen 728 00:41:56,480 --> 00:42:00,120 Speaker 1: by Luke Harrison and Psyche Louis who already mean. And 729 00:42:00,760 --> 00:42:04,440 Speaker 1: it's called Thrills, Chills, freesans and skin Orgasms Towards an 730 00:42:04,480 --> 00:42:08,920 Speaker 1: Integrative Model of Transcendence Psychophysiological Experiences in Music. And this 731 00:42:09,040 --> 00:42:13,680 Speaker 1: is published in Frontiers in Psychology, and they collect some 732 00:42:13,760 --> 00:42:17,440 Speaker 1: of the existing research on musical frees on inducers. One 733 00:42:17,520 --> 00:42:20,160 Speaker 1: big study that looked into this was slow Boda in 734 00:42:21,560 --> 00:42:25,480 Speaker 1: and this one found that the common types of musical 735 00:42:25,560 --> 00:42:29,680 Speaker 1: phrases that bring people to a state of freesan were quote, 736 00:42:29,800 --> 00:42:33,280 Speaker 1: chord progressions descending the circle of fifths to the tonic. 737 00:42:33,800 --> 00:42:40,279 Speaker 1: Very specific. Uh, then melodic appoggiaturas. So appoggiaturas are when 738 00:42:40,360 --> 00:42:43,040 Speaker 1: there is a grace note or grace notes added to 739 00:42:43,320 --> 00:42:47,879 Speaker 1: a melody before or between the expected notes. I feel 740 00:42:47,880 --> 00:42:50,120 Speaker 1: like it's kind of hard to explain without singing it. 741 00:42:50,440 --> 00:42:51,880 Speaker 1: I kind of don't want to sing it because that 742 00:42:51,920 --> 00:42:54,399 Speaker 1: would sound pathetic, But I know what you mean. It's 743 00:42:54,400 --> 00:42:58,440 Speaker 1: that quick anticipatory note right before the actual kickoff of 744 00:42:58,480 --> 00:43:01,680 Speaker 1: the chorus or the verse or the bra or whatever. Yeah. Yeah, yeah. 745 00:43:02,000 --> 00:43:04,920 Speaker 1: So if you can imagine a familiar melody, say, imagine 746 00:43:04,960 --> 00:43:08,919 Speaker 1: somebody singing the melody of of London Bridge is falling down, 747 00:43:09,120 --> 00:43:12,600 Speaker 1: but adding in little grace notes in between the familiar 748 00:43:12,719 --> 00:43:15,160 Speaker 1: notes of the melody. Does that make sense? It does 749 00:43:15,280 --> 00:43:17,640 Speaker 1: to me, but does it make sense to our listener? 750 00:43:19,320 --> 00:43:22,960 Speaker 1: But then also the onset of unexpected harmonies, This is 751 00:43:23,040 --> 00:43:25,200 Speaker 1: a huge one for me. A lot of the ones 752 00:43:25,600 --> 00:43:28,200 Speaker 1: that I can think of are when or when harmonies 753 00:43:28,239 --> 00:43:33,120 Speaker 1: come in, when vocal when new vocals are added. Yeah. Uh. 754 00:43:33,160 --> 00:43:36,200 Speaker 1: And then they also say and melodic or harmonic sequences, 755 00:43:36,239 --> 00:43:38,600 Speaker 1: which seems very unspecific to me. Is I'm not sure 756 00:43:38,640 --> 00:43:41,439 Speaker 1: what to make of that. But they also cite another 757 00:43:41,520 --> 00:43:44,440 Speaker 1: study by Grua at all or Greva at all in 758 00:43:44,600 --> 00:43:48,320 Speaker 1: two thousand seven that found um that the onsets of 759 00:43:48,360 --> 00:43:51,640 Speaker 1: freees on were quote most likely to occur during peaks 760 00:43:51,719 --> 00:43:55,840 Speaker 1: in loudness, moments of modulation, and works in which the 761 00:43:55,960 --> 00:44:00,600 Speaker 1: melody occupied the human vocal register. Uh, And that sounds 762 00:44:00,719 --> 00:44:04,360 Speaker 1: right to me. A big thing is changes in volume, 763 00:44:04,480 --> 00:44:08,560 Speaker 1: dynamic changes, sudden dynamic leaps where you go from UH, 764 00:44:08,760 --> 00:44:11,920 Speaker 1: where you go from soft to suddenly loud, or from 765 00:44:12,080 --> 00:44:15,480 Speaker 1: loud to suddenly soft. Those have been shown to elicit 766 00:44:15,560 --> 00:44:19,200 Speaker 1: freesan um. But then also sudden changes in say the 767 00:44:19,280 --> 00:44:22,040 Speaker 1: register when you jump up an octave or something like that. 768 00:44:23,440 --> 00:44:26,560 Speaker 1: And they point out that these uh, these triggers tend 769 00:44:26,640 --> 00:44:29,920 Speaker 1: to point in the direction of frees on having something 770 00:44:30,000 --> 00:44:33,480 Speaker 1: to do with expectancy violation, because almost all of the 771 00:44:33,600 --> 00:44:36,840 Speaker 1: things that have been identified as major triggers of freesan 772 00:44:37,000 --> 00:44:40,279 Speaker 1: are when a song has established a pattern and then 773 00:44:40,320 --> 00:44:43,919 Speaker 1: the pattern suddenly changes in some way. That all makes 774 00:44:43,920 --> 00:44:45,920 Speaker 1: sense now, I guess it's time to move on to 775 00:44:46,040 --> 00:44:48,719 Speaker 1: the question of why does this happen? This is really 776 00:44:48,760 --> 00:44:51,320 Speaker 1: the big puzzle, right. So, you've got something that's just 777 00:44:51,760 --> 00:44:55,040 Speaker 1: a song. It is you know, music, It is vibrating 778 00:44:55,120 --> 00:44:59,160 Speaker 1: air molecules that are stimulating your ears. It's sound that 779 00:44:59,400 --> 00:45:02,360 Speaker 1: occurs in a certain pattern or or or cycle of 780 00:45:02,760 --> 00:45:07,440 Speaker 1: tones and rhythmic pulses, and somehow that means something to you. 781 00:45:08,120 --> 00:45:10,560 Speaker 1: And it not only means something to you, it triggers 782 00:45:10,640 --> 00:45:15,160 Speaker 1: this powerful response that seems to involve uh, the emotions 783 00:45:15,360 --> 00:45:19,279 Speaker 1: and and pleasure seeking and and the full body, and 784 00:45:19,480 --> 00:45:22,080 Speaker 1: and maybe something having to do with the autonomic nervous 785 00:45:22,160 --> 00:45:24,680 Speaker 1: system kind of like a fight or flight response would. 786 00:45:25,239 --> 00:45:27,920 Speaker 1: So it's this big mess that's obviously really complicated. So 787 00:45:28,360 --> 00:45:30,600 Speaker 1: one of the things that I thought might be helpful 788 00:45:30,760 --> 00:45:34,080 Speaker 1: to start by looking at is one specific subset of 789 00:45:34,280 --> 00:45:37,760 Speaker 1: musical free so on, which is the experience of goose bumps. 790 00:45:37,840 --> 00:45:41,000 Speaker 1: So it's actually, I think, at root, a fascinating question 791 00:45:41,120 --> 00:45:45,239 Speaker 1: in itself. Why would human beings get goose bumps from 792 00:45:45,560 --> 00:45:49,320 Speaker 1: esthetic reactions to art and music? You know, this is 793 00:45:49,320 --> 00:45:53,280 Speaker 1: a biological response that it's at least at first glance, 794 00:45:53,400 --> 00:45:56,879 Speaker 1: hard to identify a cause and effect relationship for right, Yeah, 795 00:45:56,880 --> 00:46:00,920 Speaker 1: it doesn't make much sense intellectually. Yeah. Uh So when 796 00:46:01,000 --> 00:46:03,280 Speaker 1: you get goose bumps, the technical term for what's happening 797 00:46:03,360 --> 00:46:06,279 Speaker 1: here is pilo erection. It's also sometimes known as the 798 00:46:06,360 --> 00:46:09,799 Speaker 1: pilo motor reflex um. And what's going on in your 799 00:46:09,880 --> 00:46:12,480 Speaker 1: body when you get goose bumps is that in your 800 00:46:12,600 --> 00:46:15,799 Speaker 1: skin at the base of your body hairs, there are 801 00:46:15,840 --> 00:46:19,359 Speaker 1: these little muscles known as erector pilli and when these 802 00:46:19,440 --> 00:46:23,560 Speaker 1: muscles contract, it causes your hairs, which are normally relaxed 803 00:46:23,640 --> 00:46:26,759 Speaker 1: and lying flat to suddenly stand on end. It's sort 804 00:46:26,760 --> 00:46:29,359 Speaker 1: of like pulls them down tight and they stand straight up, 805 00:46:30,080 --> 00:46:33,279 Speaker 1: And the question would be why does the body do this? Well, 806 00:46:33,360 --> 00:46:36,000 Speaker 1: there are a couple of major explanations that are correlated 807 00:46:36,080 --> 00:46:40,319 Speaker 1: with what normally causes goose bumps or or similar reactions 808 00:46:40,440 --> 00:46:44,200 Speaker 1: in animals, especially animals with more hair than us. One 809 00:46:44,719 --> 00:46:48,640 Speaker 1: answer is the cold. When you are cold, your body 810 00:46:48,760 --> 00:46:51,960 Speaker 1: is losing heat through the skin, and the pilo erection 811 00:46:52,040 --> 00:46:55,719 Speaker 1: response is an evolutionary adaptation that helps protect the body 812 00:46:55,760 --> 00:46:59,319 Speaker 1: against heat loss by insulating the skin. So your body 813 00:46:59,440 --> 00:47:03,080 Speaker 1: detects a hill and it protects itself by contracting the 814 00:47:03,160 --> 00:47:06,840 Speaker 1: erector pilly, causing the body hair to stand up. This 815 00:47:07,000 --> 00:47:10,040 Speaker 1: obviously would have been much more useful to human ancestors 816 00:47:10,120 --> 00:47:13,040 Speaker 1: who had significantly more body hair than we do. It 817 00:47:13,120 --> 00:47:16,160 Speaker 1: does a lot less to help insulate our relatively unhaired 818 00:47:16,200 --> 00:47:20,000 Speaker 1: bodies today, but it seems to be a somewhat vestigial trade. 819 00:47:20,080 --> 00:47:22,600 Speaker 1: Like when we get cold, we still get the goose bumps, 820 00:47:23,200 --> 00:47:25,000 Speaker 1: as if we had a big coat of fur to 821 00:47:25,080 --> 00:47:27,719 Speaker 1: help insulate us when when our skin did that. But 822 00:47:27,920 --> 00:47:29,640 Speaker 1: it's not just when we get cold. There are also 823 00:47:29,880 --> 00:47:33,480 Speaker 1: threats of danger that caused the polo motor response. So 824 00:47:33,840 --> 00:47:37,480 Speaker 1: the body deploys the same reflex, the same pilo erection 825 00:47:37,560 --> 00:47:42,000 Speaker 1: in response to sudden shocks or fear or threats of danger, 826 00:47:42,520 --> 00:47:45,680 Speaker 1: and the evolutionary reasoning is that this provides a survival 827 00:47:45,719 --> 00:47:49,680 Speaker 1: advantage because pilo erection makes the body look bigger. So 828 00:47:49,800 --> 00:47:52,239 Speaker 1: you've probably seen a cat that gets spooked by some 829 00:47:52,400 --> 00:47:55,520 Speaker 1: kind of possible threat, maybe an aggressive dog, or maybe 830 00:47:55,560 --> 00:47:58,600 Speaker 1: just a cucumber on the floor or whatever. It seems 831 00:47:58,680 --> 00:48:01,680 Speaker 1: to detect the possibility that some other kind of animal 832 00:48:01,880 --> 00:48:05,160 Speaker 1: is they're threatening it, and its first stands up on end. 833 00:48:05,600 --> 00:48:09,160 Speaker 1: Now the cat looks thicker, larger, it looks more dangerous 834 00:48:09,239 --> 00:48:12,160 Speaker 1: and able to defend itself, which means that this other 835 00:48:12,280 --> 00:48:15,920 Speaker 1: animal or or pseudo animal is less likely to attack. 836 00:48:16,440 --> 00:48:19,640 Speaker 1: And these explanations for the pilo motor reflex have been 837 00:48:19,719 --> 00:48:22,319 Speaker 1: known about for a long time. Actually. Charles Darwin wrote 838 00:48:22,360 --> 00:48:25,520 Speaker 1: about these reactions and goose bumps in his book The 839 00:48:25,600 --> 00:48:28,360 Speaker 1: Expression of the Emotions in Man and Animals in eighteen 840 00:48:28,440 --> 00:48:31,840 Speaker 1: seventy two, where he wrote that quote hardly any expressive 841 00:48:31,880 --> 00:48:35,080 Speaker 1: movement is so general as the involuntary erection of the 842 00:48:35,160 --> 00:48:39,520 Speaker 1: hair's feathers and other dermal appendages, and he noted correlates 843 00:48:39,560 --> 00:48:42,080 Speaker 1: of these in in not just mammals, but in mammals 844 00:48:42,160 --> 00:48:45,360 Speaker 1: and in birds and in reptiles, which I thought is interesting. 845 00:48:46,200 --> 00:48:49,240 Speaker 1: So the evolutionary reasoning connecting goose bumps to a survival 846 00:48:49,320 --> 00:48:52,080 Speaker 1: advantage in the in the case of cold or threats 847 00:48:52,160 --> 00:48:55,480 Speaker 1: makes very solid sense. But why would this connect to 848 00:48:55,719 --> 00:49:00,400 Speaker 1: abstract emotions or to esthetics like music? So I was 849 00:49:00,440 --> 00:49:02,680 Speaker 1: looking around for good explanations of this. One thing I 850 00:49:02,760 --> 00:49:06,200 Speaker 1: came across was an explainer I found in Scientific American 851 00:49:06,280 --> 00:49:09,560 Speaker 1: from two thousand three by a physiologist and professor of 852 00:49:09,640 --> 00:49:13,200 Speaker 1: zoology at the University of Gulf in Ontario named George A. 853 00:49:13,400 --> 00:49:18,080 Speaker 1: Boubin Ick, who said that basically all goose bumps responses 854 00:49:18,200 --> 00:49:21,239 Speaker 1: involve the release of adrenaline and the activation of the 855 00:49:21,320 --> 00:49:24,600 Speaker 1: autonomic nervous system like we were talking about earlier and 856 00:49:24,880 --> 00:49:28,480 Speaker 1: uh Bubinic writes quote. Adrenaline, which in humans is produced 857 00:49:28,520 --> 00:49:32,120 Speaker 1: in two small bean like glands that sit atop the kidneys, 858 00:49:32,440 --> 00:49:35,279 Speaker 1: not only causes the contraction of skin muscles, but also 859 00:49:35,440 --> 00:49:40,160 Speaker 1: influences many other body reactions. In humans, adrenaline is often 860 00:49:40,239 --> 00:49:42,680 Speaker 1: released when we feel cold or afraid, but also if 861 00:49:42,719 --> 00:49:45,680 Speaker 1: you're under stress and feel strong emotions such as anger 862 00:49:45,800 --> 00:49:50,320 Speaker 1: or excitement. Other signs of adrenaline release include tears, sweaty palms, 863 00:49:50,400 --> 00:49:53,560 Speaker 1: trembling hands, and increase in blood pressure, a racing heart, 864 00:49:53,680 --> 00:49:56,960 Speaker 1: or the feeling of butterflies in the stomach. Uh So, 865 00:49:57,120 --> 00:50:01,839 Speaker 1: that's a little frustrating because it establishes the possible mechanism 866 00:50:01,920 --> 00:50:04,800 Speaker 1: in the endocrin or nervous system that may be partially 867 00:50:04,880 --> 00:50:07,839 Speaker 1: correct for explaining the mechanism in these cases, but you're 868 00:50:07,840 --> 00:50:12,759 Speaker 1: still kind of left wondering why, right rights? And also, well, 869 00:50:13,239 --> 00:50:16,520 Speaker 1: it's been brought up before this connection to fight or flight, 870 00:50:17,560 --> 00:50:23,040 Speaker 1: but the why has not been explained at all. Uh 871 00:50:23,120 --> 00:50:25,759 Speaker 1: So I'll try another one here. So this one, I'm 872 00:50:25,800 --> 00:50:28,040 Speaker 1: not sure how good of an explanation this is, but 873 00:50:28,160 --> 00:50:30,600 Speaker 1: at least I found it very interesting. So this is 874 00:50:30,680 --> 00:50:34,680 Speaker 1: what's known as the separation call hypothesis. This is another 875 00:50:34,760 --> 00:50:38,759 Speaker 1: evolutionary explanation for emotional chills. And this one goes back 876 00:50:38,760 --> 00:50:41,760 Speaker 1: to somebody I mentioned earlier in the episode, the Estonian 877 00:50:41,880 --> 00:50:45,840 Speaker 1: neuroscientist Yak punk Sepp, who he's known for creating the 878 00:50:46,640 --> 00:50:51,560 Speaker 1: note the term affective neuroscience the neuroscience of emotions and 879 00:50:51,880 --> 00:50:54,759 Speaker 1: uh punk sceps hypothesis. I found a good summary of 880 00:50:54,800 --> 00:50:57,640 Speaker 1: it in another paper that was by Benetic and Karen 881 00:50:57,719 --> 00:51:01,719 Speaker 1: Back in Biological Psychology in two thousand eleven, so I'm 882 00:51:01,719 --> 00:51:03,960 Speaker 1: going to read their summary of of punk steps view. 883 00:51:04,560 --> 00:51:08,600 Speaker 1: He argues that the separation calls of lost young animals 884 00:51:09,000 --> 00:51:12,400 Speaker 1: used to inform parents about the whereabouts of their offspring. 885 00:51:13,000 --> 00:51:17,080 Speaker 1: These calls might have induced internal feelings of coldness and chills, 886 00:51:17,280 --> 00:51:22,360 Speaker 1: which enhanced the motivation for social reunion. A preserved responsivity 887 00:51:22,440 --> 00:51:26,840 Speaker 1: to certain acoustical features e g. Sustained high frequency notes 888 00:51:27,000 --> 00:51:31,319 Speaker 1: as often presented by solo performers, may represent an unconditional 889 00:51:31,440 --> 00:51:35,399 Speaker 1: component of the chill response. This theoretical approach, which could 890 00:51:35,440 --> 00:51:40,120 Speaker 1: be termed separation call hypothesis, thus relates pylo erection to 891 00:51:40,280 --> 00:51:45,600 Speaker 1: sensations of coldness and sadness. Uh So, this is interesting. 892 00:51:45,800 --> 00:51:49,239 Speaker 1: I'm kind of skeptical that this explains everything that's going on, 893 00:51:49,440 --> 00:51:52,040 Speaker 1: but it does touch on multiple features in a way 894 00:51:52,120 --> 00:51:54,920 Speaker 1: that would make some kind of causal sense in an 895 00:51:54,920 --> 00:51:58,360 Speaker 1: evolutionary perspective. So the idea is that Okay, you separate 896 00:51:58,480 --> 00:52:01,160 Speaker 1: baby rats from their mother, and the baby rats get 897 00:52:01,239 --> 00:52:04,960 Speaker 1: cold and they squeak at a particular frequency that triggers 898 00:52:05,120 --> 00:52:09,600 Speaker 1: the parent rat to locate them quickly, so the process 899 00:52:09,640 --> 00:52:12,759 Speaker 1: would go. The baby is alone, feels temperature decrease, the 900 00:52:12,840 --> 00:52:18,200 Speaker 1: baby releases a separation call. This causes a feeling of separation, 901 00:52:18,320 --> 00:52:20,880 Speaker 1: a feeling of loss or a kind of correlate of 902 00:52:21,000 --> 00:52:25,320 Speaker 1: sadness in the human context, and a feeling of physical coldness, chills, 903 00:52:25,440 --> 00:52:29,000 Speaker 1: or even goose bumps in the mother, motivating rapid reunion 904 00:52:29,239 --> 00:52:32,400 Speaker 1: and contact with the baby rat. So punk Step was 905 00:52:32,520 --> 00:52:36,400 Speaker 1: arguing that maybe these emotional goose bumps we feel in 906 00:52:36,560 --> 00:52:40,680 Speaker 1: in response to music have a deep biological root in 907 00:52:40,800 --> 00:52:44,680 Speaker 1: this mammalian separation call and and the response that we 908 00:52:44,719 --> 00:52:48,320 Speaker 1: would feel in in in reaction to hearing it, perhaps 909 00:52:48,360 --> 00:52:51,800 Speaker 1: some sort of like evolutionary left over kind of a thing. Right, So, 910 00:52:51,880 --> 00:52:54,840 Speaker 1: you have certain types of sounds or thought patterns triggering 911 00:52:54,920 --> 00:52:59,880 Speaker 1: this feeling of being moved, which which would simultaneously cause 912 00:53:00,040 --> 00:53:03,520 Speaker 1: a feeling of almost like physical coldness, the chilling, feeling 913 00:53:04,040 --> 00:53:07,160 Speaker 1: goose bumps, and a feeling of separation, and a motivation 914 00:53:07,239 --> 00:53:10,640 Speaker 1: to re establish social contact, which in itself would be 915 00:53:10,920 --> 00:53:14,920 Speaker 1: a a sort of a reward motivation where you've got 916 00:53:14,960 --> 00:53:16,920 Speaker 1: a goal now, and you're like, I need to get this. 917 00:53:17,600 --> 00:53:21,840 Speaker 1: I mean, um, if true, that's absolutely amazing everything that 918 00:53:22,000 --> 00:53:27,680 Speaker 1: could come from a simple like evolutionary leftover instinct. You know. 919 00:53:27,719 --> 00:53:30,960 Speaker 1: I think about the entire music industry coming from just 920 00:53:31,120 --> 00:53:34,080 Speaker 1: this leftover response that has kind of like almost um 921 00:53:34,600 --> 00:53:37,120 Speaker 1: almost pointed usn't the wrong direction, but we get so 922 00:53:37,200 --> 00:53:39,680 Speaker 1: much pleasure out of it anyway. Yeah, And I think 923 00:53:39,760 --> 00:53:42,640 Speaker 1: this may have something to it, and I've read that 924 00:53:42,680 --> 00:53:45,360 Speaker 1: there are some subsequent studies that kind of lent support 925 00:53:45,440 --> 00:53:47,839 Speaker 1: to it, at least in some cases. But it also 926 00:53:47,960 --> 00:53:50,520 Speaker 1: seems hard for me to imagine that this is the 927 00:53:50,640 --> 00:53:55,120 Speaker 1: direct route of all emotional chills. Uh. I mean, maybe 928 00:53:55,480 --> 00:53:58,480 Speaker 1: maybe this kind of causation is wrapped up in there somewhere, 929 00:53:58,600 --> 00:54:01,840 Speaker 1: But I'm still thinking about their ideas. So one of 930 00:54:01,880 --> 00:54:04,239 Speaker 1: the other ideas comes back to something that we we've 931 00:54:04,680 --> 00:54:09,680 Speaker 1: mentioned a few times now, which is about patterns and predictions. Now, 932 00:54:09,760 --> 00:54:13,520 Speaker 1: earlier I mentioned this conference presentation I watched by Psyche Louis, 933 00:54:14,000 --> 00:54:17,399 Speaker 1: the the musical neuroscience researcher. It was at the Brain 934 00:54:17,520 --> 00:54:20,920 Speaker 1: Mind Summit in m I. T And twenty nineteen, and uh, 935 00:54:21,040 --> 00:54:23,920 Speaker 1: and she talks about this hypothesis and in her presentation, 936 00:54:24,080 --> 00:54:26,520 Speaker 1: so she says that a lot of our response to 937 00:54:26,640 --> 00:54:31,560 Speaker 1: music has to do with fulfillments and violations of expectations. 938 00:54:32,200 --> 00:54:35,080 Speaker 1: So you think about what's your what's your actual experience 939 00:54:35,160 --> 00:54:37,920 Speaker 1: of listening to music? What is your brain doing when 940 00:54:37,960 --> 00:54:41,040 Speaker 1: you're paying attention to the music you're listening to. I 941 00:54:41,320 --> 00:54:46,360 Speaker 1: think it's that music establishes patterns. You know, phrases are repeated, 942 00:54:46,520 --> 00:54:51,480 Speaker 1: chord progressions, cycle, and often symmetrical ways. Popular music, of course, 943 00:54:51,520 --> 00:54:54,800 Speaker 1: has the very common verse chorus verse structure. Uh. And 944 00:54:55,640 --> 00:54:57,600 Speaker 1: though there are other types of music, like jazz and 945 00:54:57,640 --> 00:55:01,640 Speaker 1: classical music that are less repet titious and have less 946 00:55:01,680 --> 00:55:05,200 Speaker 1: to do with established patterns, they still do establish some patterns. 947 00:55:05,440 --> 00:55:08,960 Speaker 1: You can feel out the grammar of a classical symphony 948 00:55:09,200 --> 00:55:12,680 Speaker 1: or or a jazz improvisation, even though they might be 949 00:55:12,960 --> 00:55:17,200 Speaker 1: less repetitive than some familiar types of pop and rock music, right, Like, 950 00:55:17,280 --> 00:55:19,640 Speaker 1: maybe there's just a theme that repeats, or perhaps it 951 00:55:19,760 --> 00:55:22,920 Speaker 1: just being played in the same key. You go, Oh, 952 00:55:23,040 --> 00:55:24,880 Speaker 1: I can kind of predict where this is going to 953 00:55:24,960 --> 00:55:28,239 Speaker 1: go based simply on like instinctual knowledge of like, you know, 954 00:55:28,480 --> 00:55:33,640 Speaker 1: different chord progressions and different different um scales. That kind 955 00:55:33,680 --> 00:55:35,560 Speaker 1: of thing. So, Yeah, a piece of music has a 956 00:55:35,680 --> 00:55:39,040 Speaker 1: kind of implied grammar or syntax as kind of rules 957 00:55:39,160 --> 00:55:41,200 Speaker 1: that you can learn and then you use that to 958 00:55:41,400 --> 00:55:44,319 Speaker 1: predict how it's going to develop from the present moment. 959 00:55:44,880 --> 00:55:47,920 Speaker 1: And so she talks about how this feeling of being 960 00:55:48,000 --> 00:55:51,320 Speaker 1: able to predict what's coming next usually is something that 961 00:55:51,440 --> 00:55:54,160 Speaker 1: we find rewarding in the brain, like in the actual 962 00:55:54,320 --> 00:55:58,359 Speaker 1: reward system. Uh, the ability to say, hey, I think 963 00:55:58,440 --> 00:56:01,080 Speaker 1: I know what's going to happen next, and then anticipating 964 00:56:01,160 --> 00:56:03,680 Speaker 1: and then trying to see if your prediction is correct. 965 00:56:04,239 --> 00:56:07,759 Speaker 1: That is a reward motivation process in that part of 966 00:56:07,840 --> 00:56:10,239 Speaker 1: the brain. And this actually comes back to something I 967 00:56:10,320 --> 00:56:13,200 Speaker 1: think we already mentioned a little bit earlier in the episode. 968 00:56:13,400 --> 00:56:17,960 Speaker 1: But the research finding um that people who get chills 969 00:56:18,040 --> 00:56:20,600 Speaker 1: from music versus people who don't get chills from music, 970 00:56:20,760 --> 00:56:24,640 Speaker 1: there are differences in the amount of fiber connecting different 971 00:56:24,680 --> 00:56:26,720 Speaker 1: parts of the brain. In this case, it's the amount 972 00:56:26,760 --> 00:56:30,600 Speaker 1: of white matter connecting regions of the auditory system where 973 00:56:30,600 --> 00:56:34,720 Speaker 1: you would be processing incoming sounds. Um in the temporal lobe, 974 00:56:34,880 --> 00:56:37,839 Speaker 1: two regions of the frontal lobe that Luis says are 975 00:56:37,880 --> 00:56:42,200 Speaker 1: important for emotion and reward again, specifically the nucleus incumbents 976 00:56:42,400 --> 00:56:46,680 Speaker 1: and the medial prefrontal cortex. And so this comes back 977 00:56:46,719 --> 00:56:50,880 Speaker 1: to the dopaminergic reward system. Dopamine is a neurotransmitter that 978 00:56:50,960 --> 00:56:53,680 Speaker 1: I think is sometimes a bit mischaracterized as being synonymous 979 00:56:53,760 --> 00:56:56,440 Speaker 1: with the feeling of pleasure, which is slightly off because 980 00:56:56,880 --> 00:57:00,320 Speaker 1: the dopaminergic reward system is not just response bole for 981 00:57:00,719 --> 00:57:04,520 Speaker 1: feeling good after getting what you want, but for managing 982 00:57:04,600 --> 00:57:08,880 Speaker 1: the salience of incentives, managing your awareness of things in 983 00:57:09,000 --> 00:57:12,520 Speaker 1: your environment that you might want and your motivation to 984 00:57:12,640 --> 00:57:16,800 Speaker 1: get them. So dopamine increases in the brain in anticipation 985 00:57:17,000 --> 00:57:19,560 Speaker 1: of receiving a reward, and it plays a role in 986 00:57:19,680 --> 00:57:22,600 Speaker 1: motivating you to repeat a behavior that caused you to 987 00:57:22,640 --> 00:57:26,080 Speaker 1: get a reward in the past. So in our ancestral environment, 988 00:57:26,160 --> 00:57:30,240 Speaker 1: these rewards would be things that provided a survival reproduction advantage, 989 00:57:30,280 --> 00:57:34,600 Speaker 1: so food, water, sexual partners, but also things like parental care. 990 00:57:35,280 --> 00:57:38,560 Speaker 1: But our reward systems can also become motivated by rewards 991 00:57:38,640 --> 00:57:41,480 Speaker 1: that are at a sort of abstract remove, like money, 992 00:57:42,160 --> 00:57:46,200 Speaker 1: or perhaps things like enjoyable art and music, or even 993 00:57:46,240 --> 00:57:50,280 Speaker 1: by substances that stimulate the reward pathways chemically like opiates 994 00:57:50,360 --> 00:57:54,040 Speaker 1: or cocaine. But from some of the neuroscience research, it 995 00:57:54,200 --> 00:57:58,800 Speaker 1: looks like when we have these intensely pleasurable psycho physiological 996 00:57:58,920 --> 00:58:02,040 Speaker 1: responses to music, something is going on with the reward 997 00:58:02,160 --> 00:58:06,040 Speaker 1: pathway that has to do with predictions that pleasure in 998 00:58:06,240 --> 00:58:10,320 Speaker 1: music somehow has something to do with the listener recognizing 999 00:58:10,400 --> 00:58:13,760 Speaker 1: patterns and the reward seeking mechanisms in the brain being 1000 00:58:13,880 --> 00:58:17,880 Speaker 1: motivated to detect and predict those patterns. This makes me 1001 00:58:17,920 --> 00:58:20,840 Speaker 1: want to speculate, but I will not. I don't know, 1002 00:58:21,360 --> 00:58:25,640 Speaker 1: go right ahead. My my speculation is this, um. I 1003 00:58:25,720 --> 00:58:31,640 Speaker 1: remember basically reaching a certain age where you think to yourself, uh, gosh, 1004 00:58:31,720 --> 00:58:35,240 Speaker 1: I hate school. Schools annoying, gosh, school what what a drag? 1005 00:58:35,760 --> 00:58:38,480 Speaker 1: And then someone wiser will tell you, you know, school 1006 00:58:38,560 --> 00:58:42,560 Speaker 1: isn't actually about the lessons. It's not about the homework. 1007 00:58:43,080 --> 00:58:46,160 Speaker 1: School is about learning how to learn. It's about learning 1008 00:58:46,200 --> 00:58:49,040 Speaker 1: how it to be intellectually curious enough that in the future, 1009 00:58:49,480 --> 00:58:52,280 Speaker 1: when you do want to know something, you can teach 1010 00:58:52,360 --> 00:58:55,640 Speaker 1: yourself how to know it because you've learned how to learn. 1011 00:58:56,520 --> 00:59:00,440 Speaker 1: And in my mind, I'm thinking about how music is 1012 00:59:00,640 --> 00:59:06,160 Speaker 1: kind of instilling this desire for pattern recognition, which personally 1013 00:59:06,200 --> 00:59:08,680 Speaker 1: I do think benefits life, and I do think benefits 1014 00:59:09,120 --> 00:59:14,240 Speaker 1: um oh, problem solving and benefits you know, making a 1015 00:59:14,320 --> 00:59:17,160 Speaker 1: grocery list everything, You know what I mean, Like, patterns 1016 00:59:17,200 --> 00:59:21,080 Speaker 1: are extremely useful in our society, So it's it's um 1017 00:59:21,600 --> 00:59:25,280 Speaker 1: Perhaps it is an evolutionary leftover that makes us enjoy music, 1018 00:59:25,680 --> 00:59:29,040 Speaker 1: but perhaps it has stayed with us because it has 1019 00:59:29,120 --> 00:59:32,040 Speaker 1: proven to be useful in the regard of like it's 1020 00:59:32,080 --> 00:59:34,960 Speaker 1: teaching us, it's improving us, it's making our brains a 1021 00:59:35,040 --> 00:59:37,360 Speaker 1: little a little more fits because it's almost like we're 1022 00:59:37,360 --> 00:59:40,160 Speaker 1: having a little training session by listening to music, by 1023 00:59:40,280 --> 00:59:43,560 Speaker 1: enjoying art, by enjoying culture, and that makes everything else 1024 00:59:43,640 --> 00:59:45,439 Speaker 1: in our lives a little bit better and a little 1025 00:59:45,440 --> 00:59:49,400 Speaker 1: bit easier. So like music is teaching us how to 1026 00:59:50,080 --> 00:59:56,200 Speaker 1: learn in a way pure speculation, Well, I definitely think 1027 00:59:56,240 --> 00:59:58,760 Speaker 1: there could be something to that, but I would also 1028 00:59:58,880 --> 01:00:02,120 Speaker 1: come back at it from the their angle, because it's 1029 01:00:02,120 --> 01:00:05,800 Speaker 1: clearly not as simple as music sets up a pattern 1030 01:00:06,000 --> 01:00:09,400 Speaker 1: that you can predict, and then when you correctly predict 1031 01:00:09,480 --> 01:00:14,200 Speaker 1: the pattern, it's pleasurable. Because if if music is too predictable, 1032 01:00:14,440 --> 01:00:19,080 Speaker 1: it becomes boring, right, And this goes sort of it, 1033 01:00:19,200 --> 01:00:21,160 Speaker 1: at least on the face of it, seemed to go 1034 01:00:21,280 --> 01:00:23,960 Speaker 1: against something we were talking about earlier, which is that 1035 01:00:24,040 --> 01:00:27,480 Speaker 1: a lot of these peak experiences free sun come precisely 1036 01:00:27,560 --> 01:00:31,600 Speaker 1: when patterns are broken or violated. It's not when it's 1037 01:00:31,680 --> 01:00:34,240 Speaker 1: the most predictable and you're the easiest to get the 1038 01:00:34,280 --> 01:00:38,880 Speaker 1: pattern recognition right. It's when something changes unexpectedly that you 1039 01:00:39,040 --> 01:00:41,920 Speaker 1: feel the tingles all over. But at least for me, 1040 01:00:42,080 --> 01:00:45,760 Speaker 1: that's the learning aspect of it. Um to to throw 1041 01:00:45,840 --> 01:00:49,040 Speaker 1: something in that, perhaps Robert would say if Robert were here, Um, 1042 01:00:49,360 --> 01:00:52,120 Speaker 1: there's a thing with meditation where, um, you know, if 1043 01:00:52,120 --> 01:00:53,880 Speaker 1: you're trying to clear your mind and you're trying not 1044 01:00:54,000 --> 01:00:57,560 Speaker 1: to think about anything, and then you accidentally think about 1045 01:00:57,600 --> 01:01:01,240 Speaker 1: a slice of strawberry cheesecake, you know that's bad in 1046 01:01:01,320 --> 01:01:04,400 Speaker 1: the regard that you're trying to think of nothing. However, 1047 01:01:05,080 --> 01:01:08,720 Speaker 1: the active energy you take during most kinds of meditation 1048 01:01:08,840 --> 01:01:11,720 Speaker 1: to clear your mind again, to go okay, get out 1049 01:01:11,760 --> 01:01:14,240 Speaker 1: of my mind, strawberry cheesecake, I'm trying to think about nothing. 1050 01:01:14,960 --> 01:01:18,320 Speaker 1: That is akin to like doing a rep. It's like 1051 01:01:18,400 --> 01:01:21,160 Speaker 1: a kin to like doing something active to make you better. 1052 01:01:21,720 --> 01:01:27,600 Speaker 1: So perhaps the subversion of patterns that we recognize our 1053 01:01:27,680 --> 01:01:30,400 Speaker 1: brain does hit the little food pellet switch and go, 1054 01:01:30,680 --> 01:01:33,919 Speaker 1: good job, you noticed, you know, aren't you a smart 1055 01:01:34,000 --> 01:01:37,240 Speaker 1: little person? Keep up, keep it up. You know you're learning. 1056 01:01:37,320 --> 01:01:41,560 Speaker 1: You're you're you're you're being um, You're being someone trained 1057 01:01:41,960 --> 01:01:46,040 Speaker 1: to understand patterns when they change, and perhaps to pay 1058 01:01:46,160 --> 01:01:49,320 Speaker 1: extra attention to when they do change, because that's perhaps 1059 01:01:49,400 --> 01:01:51,280 Speaker 1: when life is at its most dangerous, is when the 1060 01:01:51,840 --> 01:01:54,200 Speaker 1: when the patterns are subverted, not when the patterns are 1061 01:01:54,240 --> 01:01:56,640 Speaker 1: the same. Well, that actually ties into something else I 1062 01:01:56,680 --> 01:01:58,800 Speaker 1: came across. So I mentioned earlier that I watched that 1063 01:01:59,000 --> 01:02:02,760 Speaker 1: video that was an interview with a music neuroscientists named 1064 01:02:02,960 --> 01:02:06,920 Speaker 1: Matt Sachs and uh Sacks had speculated, Now this is 1065 01:02:06,920 --> 01:02:11,080 Speaker 1: actually going more back back in a previous uh possible 1066 01:02:11,120 --> 01:02:14,400 Speaker 1: explanation that we were talking about for the neurobiological mechanisms 1067 01:02:14,440 --> 01:02:17,480 Speaker 1: of pleasure and freees on. But when when you go 1068 01:02:17,560 --> 01:02:20,920 Speaker 1: to the idea of the arousal of the autonomic nervous system, 1069 01:02:21,000 --> 01:02:23,560 Speaker 1: you know, the fight or flight response, uh and and 1070 01:02:23,640 --> 01:02:26,400 Speaker 1: getting goose bumps as a result of a of cold 1071 01:02:26,600 --> 01:02:30,120 Speaker 1: or being under threat, Sacks is talking about the pleasurable 1072 01:02:30,200 --> 01:02:33,280 Speaker 1: response to music in those terms maybe getting goose bumps 1073 01:02:33,440 --> 01:02:36,439 Speaker 1: is like a threat, and he speculates, I'm not sure 1074 01:02:36,720 --> 01:02:38,480 Speaker 1: how much research there is to back this up, but 1075 01:02:38,520 --> 01:02:42,520 Speaker 1: he speculates, and maybe sometimes high pitched notes or sudden 1076 01:02:42,600 --> 01:02:47,120 Speaker 1: dynamic changes in music are actually initially reacted to by 1077 01:02:47,160 --> 01:02:50,520 Speaker 1: the body as a kind of threat. And it's like, 1078 01:02:50,640 --> 01:02:52,720 Speaker 1: you know, when you detect a loud sound, what does 1079 01:02:52,760 --> 01:02:55,280 Speaker 1: that usually mean? It usually means like there's something you 1080 01:02:55,360 --> 01:02:58,360 Speaker 1: need to pay attention to because it's possibly dangerous. But 1081 01:02:58,520 --> 01:03:02,600 Speaker 1: then he specula lates that after the startling sounds such 1082 01:03:02,640 --> 01:03:04,680 Speaker 1: as the dynamic change in the music or the sudden 1083 01:03:04,760 --> 01:03:08,640 Speaker 1: high voice or something, is rationalized by the prefrontal cortex 1084 01:03:08,800 --> 01:03:12,760 Speaker 1: and judged actually safe, that's when the sense of pleasure comes. 1085 01:03:12,880 --> 01:03:15,840 Speaker 1: It's in the realization that your your brain has sort 1086 01:03:15,840 --> 01:03:18,840 Speaker 1: of been startled into a semi fight or flight response 1087 01:03:18,920 --> 01:03:21,520 Speaker 1: by something in the sound, but actually it's just a 1088 01:03:21,560 --> 01:03:24,360 Speaker 1: piece of music. And it's like realizing that the threat 1089 01:03:24,400 --> 01:03:27,120 Speaker 1: in a horror movie is not actually dangerous. I was 1090 01:03:27,160 --> 01:03:29,240 Speaker 1: just thinking the same thing, like like a horror movie, 1091 01:03:29,320 --> 01:03:33,720 Speaker 1: like a roller coaster, it's um a safe exploration of 1092 01:03:33,920 --> 01:03:36,920 Speaker 1: fear and anticipation is definitely a big part of that, 1093 01:03:36,960 --> 01:03:39,200 Speaker 1: I mean, think about any jump scare in a horror film. 1094 01:03:39,280 --> 01:03:48,560 Speaker 1: You know. Yeah, interesting? Thank But anyway to come back 1095 01:03:48,600 --> 01:03:51,240 Speaker 1: to Harrison and Louis in their summary of of a 1096 01:03:51,280 --> 01:03:54,720 Speaker 1: study from two thousand one by Blood and Store, Uh, 1097 01:03:54,800 --> 01:03:58,680 Speaker 1: they write that these researchers quote showed with pet scanning 1098 01:03:58,720 --> 01:04:02,480 Speaker 1: of people under musical esan that patterns may reflect a 1099 01:04:02,680 --> 01:04:06,880 Speaker 1: craving reflex similar to that surrounding responses for food, sex, 1100 01:04:06,960 --> 01:04:10,120 Speaker 1: and drugs of abuse. It's possible, then, that the reason 1101 01:04:10,240 --> 01:04:14,000 Speaker 1: we develop such affinity for freesan inducing music is that 1102 01:04:14,280 --> 01:04:20,000 Speaker 1: once we experience musical freesan, we develop a dopaminergic anticipation 1103 01:04:20,240 --> 01:04:25,520 Speaker 1: for its return, effectively becoming slightly addicted to the musical stimulus. 1104 01:04:25,920 --> 01:04:28,560 Speaker 1: I mean, that's an analogy I've made before when it 1105 01:04:28,640 --> 01:04:31,880 Speaker 1: comes to um seeking out new music, that it is 1106 01:04:31,960 --> 01:04:34,880 Speaker 1: similar to a drug and being a person who is 1107 01:04:35,240 --> 01:04:38,880 Speaker 1: very much a teetotaler in every way, I do not 1108 01:04:39,000 --> 01:04:42,240 Speaker 1: want to diminish people's actual addictions to real drugs, but 1109 01:04:42,880 --> 01:04:46,280 Speaker 1: following the same patterns, uh yeah, of just like, oh, 1110 01:04:46,360 --> 01:04:48,560 Speaker 1: I I think I can find a another album, Like 1111 01:04:48,640 --> 01:04:50,600 Speaker 1: I haven't heard a new album that really got me 1112 01:04:50,720 --> 01:04:52,400 Speaker 1: excited lately. I gotta I gotta go to go down 1113 01:04:52,400 --> 01:04:54,479 Speaker 1: to the record store. I need to go find something else. 1114 01:04:54,640 --> 01:04:56,520 Speaker 1: I gotta go dig through some crates. And it's just 1115 01:04:56,600 --> 01:04:59,880 Speaker 1: sort of like that feeling of there's something out there, 1116 01:05:00,080 --> 01:05:02,560 Speaker 1: there's something out there that's really good and you haven't 1117 01:05:02,600 --> 01:05:04,960 Speaker 1: heard it yet, so you need to go get it. 1118 01:05:05,120 --> 01:05:06,840 Speaker 1: You need to go find it, you need to talk 1119 01:05:06,880 --> 01:05:09,560 Speaker 1: to people and uh and those are the things you 1120 01:05:09,600 --> 01:05:11,560 Speaker 1: can do on record store society, find it wherever you 1121 01:05:11,640 --> 01:05:17,000 Speaker 1: find podcasts. Do do you when you're seeking out new 1122 01:05:17,120 --> 01:05:20,400 Speaker 1: music do you actually have like the these direct pleasurable 1123 01:05:20,520 --> 01:05:23,080 Speaker 1: experiences in mind is like sort of the thing you're 1124 01:05:23,160 --> 01:05:27,000 Speaker 1: questing after, Because while I do love them in music, 1125 01:05:27,120 --> 01:05:30,160 Speaker 1: I remember when I was more obsessed with like finding 1126 01:05:30,240 --> 01:05:34,120 Speaker 1: new music, I had a probably a stupider idea in 1127 01:05:34,200 --> 01:05:37,200 Speaker 1: my head which was like, once I hear this album, 1128 01:05:37,360 --> 01:05:40,880 Speaker 1: then finally I'll understand music. Do you know what I mean? 1129 01:05:41,160 --> 01:05:44,120 Speaker 1: I do? I definitely do. I I felt that also, 1130 01:05:44,520 --> 01:05:47,960 Speaker 1: um where in particular, if there were albums that everyone 1131 01:05:48,080 --> 01:05:51,640 Speaker 1: said were truly truly great, and I would go, oh, man, 1132 01:05:51,760 --> 01:05:54,200 Speaker 1: I'm gonna I'm gonna find this album. Let's say it's 1133 01:05:54,320 --> 01:05:56,480 Speaker 1: The Velvet Underground and Nico, you know, the famous one 1134 01:05:56,520 --> 01:05:58,840 Speaker 1: with the Andy warhol bin and on the cover. I 1135 01:05:59,280 --> 01:06:01,960 Speaker 1: um where I'm like, this is that album that everyone 1136 01:06:02,080 --> 01:06:04,280 Speaker 1: keeps talking about. One day I'm going to find it. 1137 01:06:04,520 --> 01:06:06,720 Speaker 1: I'm gonna listen to it, and then I'll know what 1138 01:06:06,920 --> 01:06:09,760 Speaker 1: everyone's talking about, and I will have achieved something. It 1139 01:06:09,800 --> 01:06:13,360 Speaker 1: will be like a totem somehow that I have found 1140 01:06:13,480 --> 01:06:15,760 Speaker 1: and listened to this album. Obviously, this is way before 1141 01:06:15,840 --> 01:06:17,640 Speaker 1: any kind of streaming media, so it was much more 1142 01:06:17,680 --> 01:06:20,320 Speaker 1: difficult to track down and purchase an album when I 1143 01:06:20,400 --> 01:06:23,800 Speaker 1: was a kid. Um. But but in that same regard, 1144 01:06:23,880 --> 01:06:27,480 Speaker 1: I would say, to answer your question about seeking it 1145 01:06:27,560 --> 01:06:30,480 Speaker 1: out and does that provide some sort of pleasure, I 1146 01:06:30,640 --> 01:06:34,160 Speaker 1: do think that for me personally, the things I love 1147 01:06:34,360 --> 01:06:42,080 Speaker 1: most in music are um, progression, change, experimentation, people trying 1148 01:06:42,120 --> 01:06:46,080 Speaker 1: new things. I really love really experimental, really you know, 1149 01:06:46,200 --> 01:06:48,520 Speaker 1: for lack of a better word, odd music. I really 1150 01:06:48,640 --> 01:06:51,040 Speaker 1: enjoy that. And not to say that I don't also 1151 01:06:51,160 --> 01:06:53,960 Speaker 1: enjoy you know, some some beatles as well. But um, 1152 01:06:54,480 --> 01:06:57,680 Speaker 1: but that being the case, I would not be surprised 1153 01:06:57,720 --> 01:07:04,640 Speaker 1: if deep down, subconsciously me perpetually seeking stranger music, seeking 1154 01:07:04,720 --> 01:07:09,520 Speaker 1: the experimental and the you know, the the the new 1155 01:07:10,200 --> 01:07:13,240 Speaker 1: for lack of a better word, is perhaps trying to 1156 01:07:13,480 --> 01:07:17,240 Speaker 1: find that thrill again, find that that that roller coaster, 1157 01:07:17,440 --> 01:07:21,520 Speaker 1: find that um that that that that that jumps scared 1158 01:07:21,520 --> 01:07:24,120 Speaker 1: from that that scary movie. You know. Oh well, this 1159 01:07:24,280 --> 01:07:26,840 Speaker 1: is interesting because this connects to something else I was reading. 1160 01:07:26,880 --> 01:07:30,600 Speaker 1: So I was reading an interview with a researcher named 1161 01:07:30,880 --> 01:07:35,560 Speaker 1: Dr Ygan vassel of z Ki, who studies the science 1162 01:07:35,600 --> 01:07:37,640 Speaker 1: of the human response to art and aesthetics that I 1163 01:07:37,680 --> 01:07:41,480 Speaker 1: place called the Max Planck Institute for Empirical Aesthetics, and 1164 01:07:41,680 --> 01:07:45,640 Speaker 1: he'd done some work on essentially people's frees on reactions 1165 01:07:45,800 --> 01:07:48,840 Speaker 1: not just to music, but to other genres of arts, 1166 01:07:48,880 --> 01:07:51,400 Speaker 1: such as poetry, because also people can get free on 1167 01:07:51,480 --> 01:07:53,880 Speaker 1: from poetry, and so he did a study on that. 1168 01:07:53,960 --> 01:07:55,800 Speaker 1: And one thing he noted this was in the context 1169 01:07:55,840 --> 01:07:58,000 Speaker 1: of poetry, but I think it's probably also true of music, 1170 01:07:58,680 --> 01:08:02,320 Speaker 1: is that he found that it experienced people need more 1171 01:08:02,440 --> 01:08:06,200 Speaker 1: complexity in order to be affected. So basically, the more 1172 01:08:06,320 --> 01:08:09,840 Speaker 1: experience you have with a genre of art, usually the 1173 01:08:10,040 --> 01:08:13,120 Speaker 1: weirder you need it to be. That makes sense. No, 1174 01:08:13,960 --> 01:08:17,639 Speaker 1: I've made this analogy myself where people have asked me, oh, 1175 01:08:17,760 --> 01:08:20,400 Speaker 1: why are you listening to that noise, like literally, you 1176 01:08:20,479 --> 01:08:22,519 Speaker 1: know noise. There's a lot of noise albums that I 1177 01:08:22,680 --> 01:08:25,519 Speaker 1: very much enjoy, And I'm like, I think about it 1178 01:08:25,640 --> 01:08:28,559 Speaker 1: like a foodie where there's a person out there who 1179 01:08:28,720 --> 01:08:30,960 Speaker 1: you know, they love pasta and they eat their pasta 1180 01:08:31,000 --> 01:08:33,439 Speaker 1: and it's so good. But at a certain point, after 1181 01:08:33,520 --> 01:08:37,120 Speaker 1: they've really really focused and studied and had so much 1182 01:08:37,200 --> 01:08:39,680 Speaker 1: pasta's coming out their ears, they're like, you know what, 1183 01:08:40,080 --> 01:08:42,280 Speaker 1: I think, like, I need to go to this like 1184 01:08:42,600 --> 01:08:46,040 Speaker 1: gastro Microbiology center where they give me like a pasta 1185 01:08:46,200 --> 01:08:50,080 Speaker 1: foam and like a sniffter of basil liquefied that I 1186 01:08:50,439 --> 01:08:53,920 Speaker 1: inject in my arm. Like like I I do think 1187 01:08:53,960 --> 01:08:56,840 Speaker 1: that all art does eventually become stranger and stranger, and 1188 01:08:56,880 --> 01:08:58,519 Speaker 1: I think that goes for everything. I think that goes 1189 01:08:58,680 --> 01:09:01,080 Speaker 1: for shoes. Sneaker heads will probably do the same thing, 1190 01:09:01,200 --> 01:09:03,439 Speaker 1: same thing with them, people who are really into cars, 1191 01:09:03,640 --> 01:09:07,599 Speaker 1: people who are really into um, I think everything, honestly, 1192 01:09:07,680 --> 01:09:11,960 Speaker 1: I I do think all aesthetic appreciation eventually gets really 1193 01:09:12,120 --> 01:09:15,280 Speaker 1: strange because you're perhaps getting a little bored and you're 1194 01:09:15,280 --> 01:09:18,559 Speaker 1: looking for that new feeling again. Does that happen with everything? 1195 01:09:18,800 --> 01:09:20,720 Speaker 1: So I wonder about cars. Like if you if you 1196 01:09:21,000 --> 01:09:23,320 Speaker 1: are somebody who's obsessed with cars, you go to all 1197 01:09:23,360 --> 01:09:25,599 Speaker 1: the auto shows and you read all the car blogs 1198 01:09:25,640 --> 01:09:28,320 Speaker 1: and all that. Eventually, are you like only interested in 1199 01:09:28,479 --> 01:09:32,439 Speaker 1: batmobiles and rocket powered cars and stuff or like, I 1200 01:09:32,520 --> 01:09:34,479 Speaker 1: don't know, I wonder about that. I think this will 1201 01:09:34,520 --> 01:09:37,559 Speaker 1: relate again to what we were looking at, um before, 1202 01:09:37,720 --> 01:09:40,200 Speaker 1: with like the different kinds of brains, where there was 1203 01:09:40,240 --> 01:09:42,200 Speaker 1: the one kind of brain. Um that this is when 1204 01:09:42,200 --> 01:09:46,160 Speaker 1: you're talking about openness. How one was looking for the novel, 1205 01:09:46,400 --> 01:09:48,280 Speaker 1: looking for the new, and the other one was looking 1206 01:09:48,320 --> 01:09:51,200 Speaker 1: for the traditional, looking for the essential, you know. And 1207 01:09:51,520 --> 01:09:54,200 Speaker 1: I really do feel like, perhaps let's let's take a 1208 01:09:54,240 --> 01:09:56,800 Speaker 1: car example. I think neither of us are car guys, 1209 01:09:57,120 --> 01:09:59,800 Speaker 1: but we will put ourselves in that world. There is 1210 01:09:59,840 --> 01:10:03,920 Speaker 1: so one that goes no, my nineteen sixties Corvetts is 1211 01:10:04,000 --> 01:10:06,960 Speaker 1: the perfect car that I will love forever. And then 1212 01:10:07,000 --> 01:10:09,519 Speaker 1: there's another person at the same car show who's looking 1213 01:10:09,560 --> 01:10:11,760 Speaker 1: at all the like the fancy like I don't even 1214 01:10:11,760 --> 01:10:13,800 Speaker 1: know what they're called, but like the like the prototype 1215 01:10:13,880 --> 01:10:17,120 Speaker 1: cars that will never actually be made but always look 1216 01:10:17,200 --> 01:10:22,360 Speaker 1: really really neat and futuristic and you know, blade runner esque. Um, 1217 01:10:22,479 --> 01:10:25,880 Speaker 1: they'll only drive one of those spike cars from Fury Road. Yes, 1218 01:10:26,920 --> 01:10:29,200 Speaker 1: and so I think both exist, and I think both 1219 01:10:29,240 --> 01:10:32,840 Speaker 1: exist in also in every form of art, like there 1220 01:10:32,880 --> 01:10:35,360 Speaker 1: are people who are I only listen to classic rock, 1221 01:10:35,600 --> 01:10:37,360 Speaker 1: and there are people who are like, no, I need 1222 01:10:37,960 --> 01:10:41,479 Speaker 1: I need some chainsaws on ice cubes, you know, through 1223 01:10:41,600 --> 01:10:44,840 Speaker 1: reverb chambers. So I I it's all there. You know, 1224 01:10:45,280 --> 01:10:48,479 Speaker 1: some people like Thomas Kincaid, some people like Picasso, and 1225 01:10:48,560 --> 01:10:50,960 Speaker 1: I think it's it's all good. It's all good. And 1226 01:10:51,160 --> 01:10:54,000 Speaker 1: I think perhaps what you're talking about with the the 1227 01:10:54,080 --> 01:10:57,560 Speaker 1: differences between openness and just what brain connectivity does for 1228 01:10:57,640 --> 01:11:01,240 Speaker 1: you personally might might help explain that. And Frison, yeah, 1229 01:11:01,280 --> 01:11:03,280 Speaker 1: I think you could be right about that. So I 1230 01:11:03,400 --> 01:11:05,720 Speaker 1: realized time is running short. But there's one more thing 1231 01:11:05,760 --> 01:11:07,400 Speaker 1: I wanted to hit before we wrap up, because I 1232 01:11:07,439 --> 01:11:10,840 Speaker 1: think this is interesting as well. Um, So I came across, 1233 01:11:11,080 --> 01:11:13,920 Speaker 1: like I mentioned, this researcher named Oregon Vessel of is Key. 1234 01:11:14,280 --> 01:11:16,080 Speaker 1: He's got a study I was looking at published in 1235 01:11:16,200 --> 01:11:19,040 Speaker 1: Social Cognitive and affect of Neuroscience, but actually found what 1236 01:11:19,160 --> 01:11:22,000 Speaker 1: was really interesting was an interview with him done by 1237 01:11:22,120 --> 01:11:27,040 Speaker 1: a poetry journal called The Napkin Poetry Review, and In 1238 01:11:27,240 --> 01:11:31,680 Speaker 1: this interview, this guy was talking about the concept of 1239 01:11:31,920 --> 01:11:34,920 Speaker 1: pleasure in negative emotions, which I think is something that 1240 01:11:35,040 --> 01:11:37,240 Speaker 1: really does need to be addressed if we're talking about 1241 01:11:37,760 --> 01:11:41,040 Speaker 1: uh freesan in in music, because it's so often in 1242 01:11:41,320 --> 01:11:43,360 Speaker 1: in songs that are sad or have some kind of 1243 01:11:43,439 --> 01:11:46,519 Speaker 1: negative valence. And actually he points out that, you know, 1244 01:11:46,680 --> 01:11:50,719 Speaker 1: Aristotle wrote about this apparent paradox, like why do people 1245 01:11:51,400 --> 01:11:54,600 Speaker 1: enjoy going to the theater to watch tragic plays that 1246 01:11:54,680 --> 01:11:57,800 Speaker 1: are full of pity and fear and anguish? Are these 1247 01:11:57,840 --> 01:12:01,400 Speaker 1: emotions not painful when we experience them in our lives? 1248 01:12:01,960 --> 01:12:03,960 Speaker 1: And the answer is yes, they are. But there must 1249 01:12:04,080 --> 01:12:07,960 Speaker 1: be something about experiencing them in the context of a 1250 01:12:08,080 --> 01:12:13,000 Speaker 1: play that transforms these negative emotions into something pleasurable that 1251 01:12:13,120 --> 01:12:16,759 Speaker 1: we want to seek out and repeat. And as an analogy, 1252 01:12:16,800 --> 01:12:18,800 Speaker 1: you might think, of course, about that sad song you 1253 01:12:18,880 --> 01:12:21,560 Speaker 1: can't stop listening to. There's some kind of pleasure in 1254 01:12:21,640 --> 01:12:26,280 Speaker 1: the aesthetics of sadness. Um. Now, another way of possibly 1255 01:12:26,360 --> 01:12:29,280 Speaker 1: explaining this is that Aristotle wrote also about the the 1256 01:12:29,400 --> 01:12:33,599 Speaker 1: complexity of negative emotions themselves and how they often contain 1257 01:12:33,840 --> 01:12:38,280 Speaker 1: pleasurable aspects. So, for example, he wrote that anger always 1258 01:12:38,320 --> 01:12:41,040 Speaker 1: has an element of pleasure in it, because the person 1259 01:12:41,080 --> 01:12:44,920 Speaker 1: who's angry is always at some level sort of experiencing 1260 01:12:45,000 --> 01:12:49,160 Speaker 1: a thrill from from the expectation of vengeance for you know, 1261 01:12:49,240 --> 01:12:52,439 Speaker 1: the way they've been wronged and uh, and obviously you know, 1262 01:12:52,560 --> 01:12:55,519 Speaker 1: there's a lot of media that clearly seems geared towards 1263 01:12:55,640 --> 01:12:59,240 Speaker 1: just making people recreationally angry. Sometimes people want to get 1264 01:12:59,280 --> 01:13:02,240 Speaker 1: angry about stuff. But you could also say that the 1265 01:13:02,320 --> 01:13:05,240 Speaker 1: same could be true about sadness, that maybe there is 1266 01:13:05,920 --> 01:13:09,200 Speaker 1: something going on with sadness that maybe sadness can be 1267 01:13:09,280 --> 01:13:12,200 Speaker 1: pleasurable in some ways if it's just say, due to 1268 01:13:12,280 --> 01:13:17,080 Speaker 1: separation of loss, because there's this pleasurable anticipation of redemption 1269 01:13:17,160 --> 01:13:20,080 Speaker 1: and reunion, the same way that anger could be pleasurable 1270 01:13:20,120 --> 01:13:24,439 Speaker 1: because there's this anticipation of revenge. But anyway, for so 1271 01:13:24,600 --> 01:13:27,479 Speaker 1: for for this researcher of Asalowski, he said that this 1272 01:13:27,680 --> 01:13:30,240 Speaker 1: ended up making him want to study that the concept 1273 01:13:30,320 --> 01:13:34,320 Speaker 1: of being moved, which is something that's clearly not just 1274 01:13:34,640 --> 01:13:38,479 Speaker 1: like pleasurable or painful. It is this intense emotional state 1275 01:13:38,840 --> 01:13:42,959 Speaker 1: that can blend positive and negative emotions into a single episode. 1276 01:13:43,000 --> 01:13:47,080 Speaker 1: It's it's pleasure and pain indivisible. Actually um and that 1277 01:13:47,360 --> 01:13:50,960 Speaker 1: he he added a hypothesis onto this concept of being moved, 1278 01:13:51,000 --> 01:13:54,400 Speaker 1: which has been explored by by philosophers for centuries, which 1279 01:13:54,479 --> 01:13:57,759 Speaker 1: is that it seems like peaque moments of being moved, 1280 01:13:57,920 --> 01:14:02,240 Speaker 1: having this ambiguous complax X emotional episode where you're experiencing 1281 01:14:02,280 --> 01:14:05,880 Speaker 1: both maybe joy and sadness at the same time. Those 1282 01:14:06,000 --> 01:14:09,759 Speaker 1: experiences tend to be marked by emotional chills or goose bumps. 1283 01:14:09,880 --> 01:14:12,960 Speaker 1: Yet again, and so he did some research looking into 1284 01:14:13,040 --> 01:14:16,519 Speaker 1: this in people's responses to poetry and UH, and in 1285 01:14:16,720 --> 01:14:19,920 Speaker 1: talking about possible reasons why people why we might have 1286 01:14:20,080 --> 01:14:21,920 Speaker 1: this reaction, he says, you know, it could be that 1287 01:14:22,520 --> 01:14:28,240 Speaker 1: it's it's conceptually when something feels important and at stake, 1288 01:14:28,640 --> 01:14:32,280 Speaker 1: you know, when when it feels like that, the autonomic 1289 01:14:32,360 --> 01:14:35,759 Speaker 1: nervous system is aroused and causes this goose bumps reaction 1290 01:14:36,439 --> 01:14:39,680 Speaker 1: UH that is presented to the conscious brain as a 1291 01:14:39,760 --> 01:14:42,840 Speaker 1: sort of signal that's something that's going on in the 1292 01:14:43,040 --> 01:14:44,680 Speaker 1: art that you're listening to. You know, the music you're 1293 01:14:44,680 --> 01:14:47,960 Speaker 1: listening to or the poem you're reading, something important seems 1294 01:14:48,040 --> 01:14:49,760 Speaker 1: to be up for grabs and that you need to 1295 01:14:49,840 --> 01:14:54,360 Speaker 1: be on alert and remember what's happening. Makes sense. And 1296 01:14:54,680 --> 01:14:56,519 Speaker 1: this comes back to you know, I can think of 1297 01:14:56,960 --> 01:14:59,040 Speaker 1: a lot of the things that give me goose bumps 1298 01:14:59,080 --> 01:15:02,680 Speaker 1: in art that are somewhat positive, but they also, like 1299 01:15:02,760 --> 01:15:05,120 Speaker 1: I was saying earlier with Lee misserab that involves some 1300 01:15:05,320 --> 01:15:10,200 Speaker 1: element of like risk or change, maybe displays of courage 1301 01:15:10,400 --> 01:15:13,760 Speaker 1: or new possibilities, which are themselves often very very kind 1302 01:15:13,800 --> 01:15:16,880 Speaker 1: of scary. So coming back to what Vassel of Whisky 1303 01:15:16,920 --> 01:15:19,160 Speaker 1: says in this interview, he says, you have the negative 1304 01:15:19,160 --> 01:15:22,400 Speaker 1: emotion on the foreground and this antidote in the background, 1305 01:15:22,600 --> 01:15:25,360 Speaker 1: or vice versa, but there's always this clash. You can't 1306 01:15:25,400 --> 01:15:29,120 Speaker 1: really decide on if it's now positive or negative, so 1307 01:15:29,280 --> 01:15:31,839 Speaker 1: it's somehow both and this creates a lot of tension. 1308 01:15:32,280 --> 01:15:35,320 Speaker 1: But importantly, we can experience this clash from an esthetic 1309 01:15:35,520 --> 01:15:39,120 Speaker 1: distance mode. So it's something about the the ambiguity of 1310 01:15:39,280 --> 01:15:43,080 Speaker 1: these uh, these you know, stimuli that elicit a combination 1311 01:15:43,200 --> 01:15:46,200 Speaker 1: of pleasure and pain, of joy and sadness at the 1312 01:15:46,280 --> 01:15:49,439 Speaker 1: same time that caused this feeling of being moved, something 1313 01:15:49,479 --> 01:15:52,600 Speaker 1: about the the high stakes that seem to be suggested 1314 01:15:52,680 --> 01:15:57,040 Speaker 1: by these by these complex emotional states maybe stimulate the 1315 01:15:57,080 --> 01:16:00,080 Speaker 1: autonomic nervous system because it's making your body, in some 1316 01:16:00,200 --> 01:16:03,400 Speaker 1: conceptual sense, feel threatened, as if there was like a 1317 01:16:03,520 --> 01:16:06,439 Speaker 1: bear menacing you, and it's trying to get your attention 1318 01:16:06,520 --> 01:16:09,719 Speaker 1: to do something about this, this concept that's being raised. 1319 01:16:10,479 --> 01:16:12,920 Speaker 1: But then again, as with what we talked about before, 1320 01:16:13,040 --> 01:16:15,560 Speaker 1: maybe it's possible that you realize you can trigger this 1321 01:16:15,720 --> 01:16:19,439 Speaker 1: response with some kind of aesthetic stimulus like music or poetry. 1322 01:16:20,040 --> 01:16:22,439 Speaker 1: And then and once you realize you can trigger it, 1323 01:16:23,080 --> 01:16:26,000 Speaker 1: the reward system in the brain just wants to get 1324 01:16:26,040 --> 01:16:28,439 Speaker 1: it again and says, well, let's try that again and again, 1325 01:16:28,920 --> 01:16:32,200 Speaker 1: and and that's what motivates perhaps the pleasurable kind of 1326 01:16:32,280 --> 01:16:35,400 Speaker 1: feeling there. It's the grasping after it. Yeah, I I 1327 01:16:35,840 --> 01:16:38,519 Speaker 1: think we've answered some quell I'm not gonna say we've 1328 01:16:38,520 --> 01:16:41,959 Speaker 1: answered some questions, but like you said, we we've identified 1329 01:16:42,000 --> 01:16:44,400 Speaker 1: some puzzle pieces, we've laid them out on the table, 1330 01:16:44,880 --> 01:16:47,479 Speaker 1: and we've taken a good look at them. What seems 1331 01:16:47,600 --> 01:16:49,600 Speaker 1: most compelling to you now that we've talked about all this. 1332 01:16:50,720 --> 01:16:55,120 Speaker 1: I do think that frison seems to me to be 1333 01:16:55,680 --> 01:17:00,960 Speaker 1: an evolutionary left over that is tied to the fight 1334 01:17:01,080 --> 01:17:05,920 Speaker 1: or flight response, and that perhaps our brains have misinterpreted 1335 01:17:06,000 --> 01:17:10,240 Speaker 1: it into something that has made us enjoy art in 1336 01:17:10,400 --> 01:17:13,880 Speaker 1: many ways, but in particular music which doesn't make a 1337 01:17:13,920 --> 01:17:18,640 Speaker 1: lot of sense. However, that's what it's it's adding up 1338 01:17:18,720 --> 01:17:23,200 Speaker 1: to in my mind. And yeah, and this could this 1339 01:17:23,360 --> 01:17:26,320 Speaker 1: is a this is a deep, deep situation that we've 1340 01:17:26,400 --> 01:17:29,360 Speaker 1: we've kind of dug ourselves into and I'm not sure 1341 01:17:29,360 --> 01:17:31,040 Speaker 1: if we'll be able to get out all right. Well, 1342 01:17:31,080 --> 01:17:33,120 Speaker 1: the next thing is everybody's gotta go listen to Record 1343 01:17:33,200 --> 01:17:36,120 Speaker 1: Store Society. What's a what's a good episode for people 1344 01:17:36,160 --> 01:17:38,080 Speaker 1: to start off with? Is something you've done recently you 1345 01:17:38,280 --> 01:17:41,479 Speaker 1: think people should look up. Well, if they specifically want 1346 01:17:41,479 --> 01:17:44,080 Speaker 1: to hear you and Robert, they got to check out. 1347 01:17:44,439 --> 01:17:47,919 Speaker 1: Let's see. I think that's episode seventeen, and that episode 1348 01:17:48,000 --> 01:17:50,320 Speaker 1: is called Video Dream And that's the one where we 1349 01:17:51,000 --> 01:17:53,920 Speaker 1: do a deep dive into a whole bunch of our 1350 01:17:53,960 --> 01:17:57,160 Speaker 1: favorite music videos. Um, let's see, there's a lot of 1351 01:17:57,200 --> 01:18:00,960 Speaker 1: other really good ones. Oh man, Um, there's a really 1352 01:18:01,000 --> 01:18:04,479 Speaker 1: great one called EP or not EP. That's episode nineteen 1353 01:18:05,040 --> 01:18:08,840 Speaker 1: where that's there's a music journalist and author Matt Lamay. 1354 01:18:09,000 --> 01:18:11,760 Speaker 1: He was one of the uh like the like original 1355 01:18:12,000 --> 01:18:15,000 Speaker 1: like a Pitchfork writers back in the day. Um, and 1356 01:18:15,360 --> 01:18:18,240 Speaker 1: that's a really fun conversation. We've got a really great 1357 01:18:18,280 --> 01:18:22,240 Speaker 1: episode coming out this Friday, but I I suppose yeah 1358 01:18:22,320 --> 01:18:24,800 Speaker 1: it's tomorrow. I can. I can stay here tomorrow. I've 1359 01:18:24,800 --> 01:18:27,559 Speaker 1: got this really great musician named M Stage. He's one 1360 01:18:27,600 --> 01:18:32,240 Speaker 1: of my favorites, and um, we're discussing music documentaries and 1361 01:18:32,640 --> 01:18:35,880 Speaker 1: that's a very fun deep well so uh because I 1362 01:18:36,200 --> 01:18:39,280 Speaker 1: M Stage, in addition to being a wonderful musician, also 1363 01:18:39,360 --> 01:18:43,680 Speaker 1: happens to be a film professor in Chicago at a university. 1364 01:18:43,840 --> 01:18:47,479 Speaker 1: So uh, he he's got a really great, um dual 1365 01:18:47,600 --> 01:18:51,720 Speaker 1: knowledge that really music documentaries are the perfect subject to 1366 01:18:51,760 --> 01:18:53,320 Speaker 1: have him talk about. So he's a lot of fun. 1367 01:18:53,400 --> 01:18:56,160 Speaker 1: So anyway, Uh, there's always something fun going on. Every 1368 01:18:56,200 --> 01:18:59,680 Speaker 1: episode is good. But but those are a few. Alright, folks, Well, 1369 01:18:59,680 --> 01:19:01,720 Speaker 1: if that catches your fancy, you should go check out 1370 01:19:01,760 --> 01:19:06,320 Speaker 1: Seth's podcast, Record Store Society. Uh. In the meantime, let's 1371 01:19:06,320 --> 01:19:07,960 Speaker 1: see do we have anything else? Now? I guess that 1372 01:19:08,000 --> 01:19:10,200 Speaker 1: wraps it up for today. But um, but yeah, if 1373 01:19:10,240 --> 01:19:12,960 Speaker 1: you want to find any more of your of our podcasts, 1374 01:19:13,000 --> 01:19:14,559 Speaker 1: we are stuff to blow your mind. You can find 1375 01:19:14,640 --> 01:19:17,400 Speaker 1: us wherever you get your podcast. We're on all the platforms, 1376 01:19:17,439 --> 01:19:19,600 Speaker 1: all the stuff like that, or you can just google us. 1377 01:19:20,240 --> 01:19:23,080 Speaker 1: Of course, please as always hit subscribe if you're not 1378 01:19:23,200 --> 01:19:25,040 Speaker 1: subscribe so you can get all of the episodes we 1379 01:19:25,120 --> 01:19:27,600 Speaker 1: put out in the future. Big thanks as always to 1380 01:19:27,720 --> 01:19:30,600 Speaker 1: Seth who is our wonderful producer, produces every episode of 1381 01:19:30,640 --> 01:19:33,280 Speaker 1: this show and does it does such a great job. Seth. 1382 01:19:33,360 --> 01:19:35,240 Speaker 1: We love you and we were I really appreciate you 1383 01:19:35,320 --> 01:19:37,560 Speaker 1: coming on the show today. Very happy to do it. 1384 01:19:37,840 --> 01:19:40,439 Speaker 1: And Robert will be back next time. That's right, yes, 1385 01:19:40,560 --> 01:19:42,519 Speaker 1: so Robert will be back on the show in the 1386 01:19:42,600 --> 01:19:45,080 Speaker 1: next episode and in the meantime. If you want to 1387 01:19:45,080 --> 01:19:46,800 Speaker 1: get in touch with us to give us feedback on 1388 01:19:46,880 --> 01:19:49,360 Speaker 1: this episode or any other, to suggest topic for the future, 1389 01:19:49,479 --> 01:19:51,880 Speaker 1: just to say hello, you can email us at contact 1390 01:19:51,960 --> 01:20:01,800 Speaker 1: at stuff to Blow your Mind dot com. Stuff to 1391 01:20:01,840 --> 01:20:04,360 Speaker 1: Blow Your Mind is production of I Heart Radio. For 1392 01:20:04,479 --> 01:20:06,639 Speaker 1: more podcasts for my Heart Radio, visit the I Heart 1393 01:20:06,720 --> 01:20:09,439 Speaker 1: Radio app, Apple Podcasts, or wherever you listening to your 1394 01:20:09,479 --> 01:20:10,120 Speaker 1: favorite shows.