1 00:00:05,160 --> 00:00:10,600 Speaker 1: Why do brains love stories? How do brains move so 2 00:00:10,800 --> 00:00:16,040 Speaker 1: easily from assessing reality out there to slipping into totally 3 00:00:16,079 --> 00:00:19,040 Speaker 1: made up worlds that you know are made up? What 4 00:00:19,079 --> 00:00:23,400 Speaker 1: do authors of great literature have in common with stage 5 00:00:23,440 --> 00:00:26,400 Speaker 1: magicians and comedians? And what does any of this have 6 00:00:26,480 --> 00:00:30,240 Speaker 1: to do with cognitive shortcuts? Or how the brain is 7 00:00:30,280 --> 00:00:34,479 Speaker 1: a prediction machine? Or Marcel Proust or Tony Morrison or 8 00:00:34,560 --> 00:00:43,320 Speaker 1: Jane Austen, or why jokes always come in threes. Welcome 9 00:00:43,320 --> 00:00:46,680 Speaker 1: to enter cosmos with me, David Eagleman. I'm a neuroscientist 10 00:00:46,680 --> 00:00:49,599 Speaker 1: and an author at Stanford and in these episodes we 11 00:00:49,720 --> 00:00:54,160 Speaker 1: sail deeply into our three pound universe to uncover some 12 00:00:54,240 --> 00:01:13,240 Speaker 1: of the most surprising aspects of our lives. Today's episode 13 00:01:13,360 --> 00:01:18,080 Speaker 1: is about why humans read books. I was watching my 14 00:01:18,319 --> 00:01:21,480 Speaker 1: young daughter the other day. She loves to jump around 15 00:01:21,520 --> 00:01:24,200 Speaker 1: and dance and be on the move, but she was 16 00:01:24,280 --> 00:01:29,280 Speaker 1: sitting stock still in the kitchen, staring at symbols of 17 00:01:29,440 --> 00:01:33,480 Speaker 1: strange shapes written on a page, something like hieroglyphics or 18 00:01:33,520 --> 00:01:37,399 Speaker 1: weird squiggles. Now, it just so happens that English is 19 00:01:37,400 --> 00:01:40,520 Speaker 1: the language that I speak and read, so the squiggles 20 00:01:40,560 --> 00:01:43,000 Speaker 1: of that alphabet don't look strange to me. 21 00:01:43,200 --> 00:01:46,360 Speaker 2: My brain has overtrained on them so that. 22 00:01:46,360 --> 00:01:50,560 Speaker 1: They immediately carry meaning, and my daughter, in the last 23 00:01:50,600 --> 00:01:54,720 Speaker 1: several years, has also overtrained on them. But obviously, if 24 00:01:54,720 --> 00:01:58,320 Speaker 1: I were from another place on the planet, I would 25 00:01:58,320 --> 00:02:02,640 Speaker 1: see these only as weird squiggles. Anyway, she was staring 26 00:02:02,680 --> 00:02:08,680 Speaker 1: at these and was obviously transported internally to another world. 27 00:02:08,919 --> 00:02:12,440 Speaker 1: Even though she was sitting in our kitchen, her mind 28 00:02:13,040 --> 00:02:18,240 Speaker 1: was elsewhere. Now this is strange because any neuroscience textbook 29 00:02:18,320 --> 00:02:22,360 Speaker 1: that you read, including my own, will assert that brains 30 00:02:22,560 --> 00:02:27,919 Speaker 1: are all about gathering information from their environment. Your eyes 31 00:02:27,960 --> 00:02:32,040 Speaker 1: are scanning for threats and opportunities in front of you. 32 00:02:32,040 --> 00:02:35,600 Speaker 1: Your ears are listening, your nose is smelling, your skin 33 00:02:35,760 --> 00:02:40,480 Speaker 1: is registering information. All of it is about monitoring what 34 00:02:40,600 --> 00:02:45,799 Speaker 1: is happening around you. And yet it is extraordinarily easy 35 00:02:46,400 --> 00:02:50,120 Speaker 1: for us to stare at these cryptic symbols and be 36 00:02:50,280 --> 00:02:55,000 Speaker 1: transported into completely new worlds. In this case, my daughter 37 00:02:55,160 --> 00:02:59,160 Speaker 1: was in the life of somebody else. Specifically, she was 38 00:02:59,200 --> 00:03:03,040 Speaker 1: on a long trip through space with a cat and 39 00:03:03,120 --> 00:03:03,640 Speaker 1: a monkey. 40 00:03:04,200 --> 00:03:06,959 Speaker 2: That's what her brain thought. At least for the most part. 41 00:03:07,200 --> 00:03:11,480 Speaker 1: It wasn't so aware of the details of the kitchen 42 00:03:11,840 --> 00:03:16,720 Speaker 1: and the sounds around her. Instead, most of the processing 43 00:03:16,800 --> 00:03:21,480 Speaker 1: hardware was busy living in this other world, one which 44 00:03:21,520 --> 00:03:25,119 Speaker 1: had its own trials and tribulations, and, by the way, 45 00:03:25,160 --> 00:03:28,760 Speaker 1: one which doesn't actually exist, but which nonetheless has no 46 00:03:28,919 --> 00:03:34,280 Speaker 1: problem making her laugh and cry and occupy all of 47 00:03:34,280 --> 00:03:37,240 Speaker 1: her attention. So this kind of thing got me wondering 48 00:03:37,240 --> 00:03:40,600 Speaker 1: a long time ago about why it is so easy 49 00:03:40,640 --> 00:03:45,120 Speaker 1: for us to slip into other worlds, and more importantly, 50 00:03:45,400 --> 00:03:50,800 Speaker 1: into other characters' lives and to experience their situation and 51 00:03:51,440 --> 00:03:55,160 Speaker 1: their emotions. So to this point, one of the classes 52 00:03:55,200 --> 00:03:59,440 Speaker 1: I teach at Stanford is called Literature and the Brain. 53 00:04:00,080 --> 00:04:02,840 Speaker 1: I co teach this with a wonderful colleague of mine, 54 00:04:03,200 --> 00:04:07,000 Speaker 1: doctor Joshua Landy, who works in the Comparative Literature department. 55 00:04:07,720 --> 00:04:09,280 Speaker 2: For years, josh. 56 00:04:09,080 --> 00:04:12,240 Speaker 1: And I have both been obsessed from different angles about 57 00:04:12,560 --> 00:04:16,839 Speaker 1: the big picture of how and why stories pervade all 58 00:04:16,960 --> 00:04:20,200 Speaker 1: human cultures, and not only are they there, but they're 59 00:04:20,240 --> 00:04:24,640 Speaker 1: the main thing that characterizes the culture. We are more 60 00:04:25,000 --> 00:04:28,479 Speaker 1: than information gatherers. We are a very particular type of 61 00:04:28,600 --> 00:04:34,080 Speaker 1: information gatherer, and universally, it seems that the optimal way 62 00:04:34,160 --> 00:04:39,200 Speaker 1: to swallow the jagged pill of information is to wrap 63 00:04:39,240 --> 00:04:43,680 Speaker 1: it in story. So here's my interview with my colleague 64 00:04:43,800 --> 00:04:50,520 Speaker 1: Joshua Landy. So, josh you and I have known each 65 00:04:50,520 --> 00:04:52,520 Speaker 1: other for a long time and for many years now 66 00:04:52,520 --> 00:04:55,240 Speaker 1: we've been teaching a class at Stanford called Literature and 67 00:04:55,279 --> 00:04:57,880 Speaker 1: the Brain, and that's proven to be a very popular class. 68 00:04:58,320 --> 00:05:00,960 Speaker 2: Happily people are in thanks to you. Yeah, thanks to you. 69 00:05:01,320 --> 00:05:04,560 Speaker 1: And so I'm you know, I'm a neuroscientist. You're in 70 00:05:04,600 --> 00:05:07,720 Speaker 1: the comparative literature department. But I love literature. You love 71 00:05:07,760 --> 00:05:10,440 Speaker 1: cognitive science, and so that's what's put us together. 72 00:05:10,480 --> 00:05:11,440 Speaker 2: It's been very fruitful. 73 00:05:12,400 --> 00:05:16,960 Speaker 1: So today let's talk about You have a statement that 74 00:05:17,000 --> 00:05:21,440 Speaker 1: you make, which is that cognitive biases, which are all 75 00:05:21,520 --> 00:05:23,920 Speaker 1: the funny things that our brain does when they're taking 76 00:05:23,920 --> 00:05:27,880 Speaker 1: shortcuts and so on, that these are a writer's best friend. 77 00:05:28,040 --> 00:05:30,360 Speaker 2: So let's start there. What do you mean by that? Yeah, 78 00:05:30,400 --> 00:05:36,200 Speaker 2: so you've written beautifully about these quirks of the human brain, 79 00:05:36,480 --> 00:05:40,760 Speaker 2: right that it's constantly making shortcuts because we just don't 80 00:05:40,800 --> 00:05:42,839 Speaker 2: have the glucose, we don't have the energy, we don't 81 00:05:42,839 --> 00:05:46,000 Speaker 2: have the time to be thinking everything through down to 82 00:05:46,040 --> 00:05:48,719 Speaker 2: the last detail. So we have to make little cognitive 83 00:05:48,760 --> 00:05:51,479 Speaker 2: shortcuts rules of thumb to get us through our day. 84 00:05:52,080 --> 00:05:54,760 Speaker 2: And for the most part these were great, But I'm 85 00:05:54,760 --> 00:05:56,159 Speaker 2: gonna and again they get us into a little bit 86 00:05:56,160 --> 00:06:00,320 Speaker 2: of trouble, and sometimes it's fun trouble, right, That's the 87 00:06:00,360 --> 00:06:03,840 Speaker 2: basis of some jokes. Some of these jokes depend on 88 00:06:05,320 --> 00:06:08,920 Speaker 2: tempting the listener into making a certain kind of mistake. 89 00:06:09,080 --> 00:06:11,520 Speaker 2: So it's an example of such a joke, well, one 90 00:06:11,560 --> 00:06:13,760 Speaker 2: of Mike's. It's not particularly funny joke, but it's a 91 00:06:13,800 --> 00:06:17,599 Speaker 2: good example, which is the pot is in the kitchen cabinet, 92 00:06:18,279 --> 00:06:21,280 Speaker 2: don't smoke it all at once. This is an example 93 00:06:21,320 --> 00:06:24,560 Speaker 2: of a garden path joke, or as Americans say, garden 94 00:06:24,600 --> 00:06:30,080 Speaker 2: path joke. What you're doing is you're tempting the listener 95 00:06:30,640 --> 00:06:33,880 Speaker 2: to think that you're saying a particular thing. Well, the 96 00:06:33,960 --> 00:06:36,400 Speaker 2: pot is in the kitchen cabinet. If it's the kitchen cabinet, 97 00:06:36,520 --> 00:06:39,120 Speaker 2: it must be some kind of utensil. But not haha, 98 00:06:39,160 --> 00:06:41,760 Speaker 2: the joke's on you. Obviously that's not what it was 99 00:06:41,800 --> 00:06:44,440 Speaker 2: in the first place. So this is a case where 100 00:06:44,480 --> 00:06:49,400 Speaker 2: you're exploiting a certain tendency on the part of the brain, 101 00:06:49,480 --> 00:06:52,120 Speaker 2: which is to kind of you know, project out into 102 00:06:52,120 --> 00:06:54,560 Speaker 2: the future, to predict things, to fill things in when 103 00:06:54,560 --> 00:06:57,279 Speaker 2: they're not fully given to you, which we need in 104 00:06:57,320 --> 00:06:58,200 Speaker 2: our daily lives. 105 00:06:58,600 --> 00:07:02,200 Speaker 1: Exactly the brain. The brain, of course, there's a prediction machine. 106 00:07:02,320 --> 00:07:05,320 Speaker 1: And that's because the world is so complex, and really 107 00:07:05,880 --> 00:07:09,040 Speaker 1: the art of growing up and the job of brain 108 00:07:09,120 --> 00:07:12,200 Speaker 1: plasticity is to say, ah, okay, this is the likely 109 00:07:12,840 --> 00:07:15,360 Speaker 1: next token, as we would phrase it now in the 110 00:07:15,360 --> 00:07:17,280 Speaker 1: age of llms, but it's to say. 111 00:07:17,080 --> 00:07:20,760 Speaker 2: This is the likely thing that's going to happen next. Yeah. 112 00:07:20,960 --> 00:07:22,800 Speaker 2: You have a good example of a joke, and in 113 00:07:22,840 --> 00:07:25,240 Speaker 2: that vein the doctor joke, Oh yeah, I heard that 114 00:07:25,280 --> 00:07:26,440 Speaker 2: from a comedian a long time ago. 115 00:07:26,560 --> 00:07:30,240 Speaker 1: He said, I went to the doctor and the doctor said, okay, 116 00:07:30,280 --> 00:07:31,960 Speaker 1: take off your clothes and put him there in the 117 00:07:31,960 --> 00:07:33,520 Speaker 1: corner next to mine. 118 00:07:34,040 --> 00:07:36,200 Speaker 2: There you go. And the reason it works as a 119 00:07:36,280 --> 00:07:36,920 Speaker 2: joke is. 120 00:07:36,880 --> 00:07:40,600 Speaker 1: Because we have an internal model of the world and 121 00:07:40,720 --> 00:07:45,720 Speaker 1: all that language, ever is, is throwing small bits of 122 00:07:45,800 --> 00:07:48,840 Speaker 1: data over the transom and we say, oh, I got it, 123 00:07:48,840 --> 00:07:50,640 Speaker 1: I've got this word, I've got the next word. Great, 124 00:07:50,880 --> 00:07:53,320 Speaker 1: I can put together this very rich model of what's 125 00:07:53,360 --> 00:07:53,720 Speaker 1: going on. 126 00:07:53,840 --> 00:07:55,440 Speaker 2: So we never expected that. 127 00:07:55,760 --> 00:07:59,160 Speaker 1: And this is the notion of the garden path, And 128 00:07:59,200 --> 00:08:03,800 Speaker 1: so how do writers exploit this cognitive bias exactly right? 129 00:08:03,840 --> 00:08:07,160 Speaker 2: So that you know, these great riances will often tempt 130 00:08:07,240 --> 00:08:11,680 Speaker 2: you to make certain kinds of prediction, and then they'll, 131 00:08:11,760 --> 00:08:13,160 Speaker 2: you know, pull the rug out of mone of you. 132 00:08:13,200 --> 00:08:16,360 Speaker 2: And sometimes it's in jokes, because often that rule of 133 00:08:16,400 --> 00:08:19,800 Speaker 2: three where you sort of say the first thing, say 134 00:08:19,800 --> 00:08:23,360 Speaker 2: a second similar thing established as a pattern. Now we're 135 00:08:23,400 --> 00:08:25,400 Speaker 2: fully predicting that the third thing is going to be 136 00:08:25,440 --> 00:08:27,840 Speaker 2: the same, and then ha ha, no joke's on you. 137 00:08:28,080 --> 00:08:31,480 Speaker 2: Sometimes it's serious. So one of my favorite examples is 138 00:08:31,480 --> 00:08:33,360 Speaker 2: from Madame Bowin. I don't want to spoil too much 139 00:08:33,360 --> 00:08:36,120 Speaker 2: about the plot here, so I'll just say a particular 140 00:08:37,080 --> 00:08:41,240 Speaker 2: unfortunate thing happens, and then a very similar and fortunate 141 00:08:41,280 --> 00:08:44,040 Speaker 2: happened thing happens again. And so by the time you're 142 00:08:44,040 --> 00:08:47,760 Speaker 2: in a third similar situation, you're fully expecting this is 143 00:08:47,760 --> 00:08:50,240 Speaker 2: probably not going to go very well, right, So so 144 00:08:50,320 --> 00:08:53,120 Speaker 2: this can be for humorous effect, but can also be 145 00:08:53,200 --> 00:08:58,400 Speaker 2: for very serious effect. These great riances are setting us 146 00:08:58,480 --> 00:09:02,120 Speaker 2: up to make certain predictions about what's going to come next, 147 00:09:02,160 --> 00:09:04,400 Speaker 2: which they can then satisfy or undermine. 148 00:09:04,720 --> 00:09:08,000 Speaker 1: That's exactly right. So it's used in literary fiction. It's 149 00:09:08,040 --> 00:09:11,599 Speaker 1: also used in genre fiction. Obviously, in any sort of 150 00:09:11,720 --> 00:09:15,880 Speaker 1: mystery book, what or thriller. What the author is doing 151 00:09:16,720 --> 00:09:20,200 Speaker 1: is saying, Okay, look at this, look at this, look 152 00:09:20,240 --> 00:09:23,360 Speaker 1: at this, and he or she is just making sure 153 00:09:23,400 --> 00:09:26,280 Speaker 1: that we make particular kinds of predictions. And then at 154 00:09:26,320 --> 00:09:28,560 Speaker 1: the end they say, ha ha, it's actually this other 155 00:09:28,600 --> 00:09:31,439 Speaker 1: thing that you totally miss because we led you down 156 00:09:31,440 --> 00:09:32,320 Speaker 1: the garden path. 157 00:09:32,160 --> 00:09:36,160 Speaker 2: Which brings me to another cognitiviance that writes this can exploit, 158 00:09:36,600 --> 00:09:40,520 Speaker 2: which is selective attention. So this is of course the 159 00:09:40,559 --> 00:09:44,400 Speaker 2: staple of stage magic, right that magicians I don't even 160 00:09:44,600 --> 00:09:46,480 Speaker 2: I mean I sort of know how they do it, 161 00:09:46,520 --> 00:09:48,440 Speaker 2: but I basically don't know how they do it because 162 00:09:48,440 --> 00:09:52,240 Speaker 2: it's extraordinary. But they're able to exploit the fact that 163 00:09:52,640 --> 00:09:56,960 Speaker 2: our our brains cannot attend to everything at once in 164 00:09:57,080 --> 00:09:59,520 Speaker 2: order to hide things almost in plain sight, like close 165 00:09:59,600 --> 00:10:01,600 Speaker 2: up magic. They're right in front of you, and yet 166 00:10:02,160 --> 00:10:05,400 Speaker 2: you have no idea how they did this thing they did. Interestingly, 167 00:10:06,080 --> 00:10:08,720 Speaker 2: literary writers can do the same thing, and this is 168 00:10:08,720 --> 00:10:12,480 Speaker 2: one of my favorite phenomena in literature, the experience of 169 00:10:12,800 --> 00:10:15,960 Speaker 2: oh my god, of course, and so how do you 170 00:10:16,000 --> 00:10:18,400 Speaker 2: pull that off? Right? How do you pull off the 171 00:10:18,480 --> 00:10:21,680 Speaker 2: experience for the reader or the viewer of Oh my God? 172 00:10:21,679 --> 00:10:25,320 Speaker 2: Of course? Well, essentially you have to put something in 173 00:10:25,440 --> 00:10:28,320 Speaker 2: your movie, in your TV show, in your novel that's 174 00:10:28,480 --> 00:10:33,400 Speaker 2: visible just enough so that the viewer remembers it later on. 175 00:10:33,600 --> 00:10:36,880 Speaker 2: What's an example? All right? So, one of not just 176 00:10:36,960 --> 00:10:38,960 Speaker 2: my favorite novels, but I know your favorite novels because 177 00:10:38,960 --> 00:10:41,440 Speaker 2: we teach it together in our class is Tony Morrison's 178 00:10:41,440 --> 00:10:44,880 Speaker 2: novel Song of Solomon. And I'm not going to say 179 00:10:44,920 --> 00:10:47,280 Speaker 2: too much about the plot here. It's just be a 180 00:10:47,640 --> 00:10:53,280 Speaker 2: very mild spoiler. There is a fantastic scene right at 181 00:10:53,320 --> 00:10:55,800 Speaker 2: the beginning of the novel where you see this guy 182 00:10:56,280 --> 00:10:59,559 Speaker 2: at the top of a tall building with these homemade 183 00:10:59,600 --> 00:11:03,600 Speaker 2: wings on his back, and he's announced to everybody he's 184 00:11:03,600 --> 00:11:06,360 Speaker 2: gonna fly. He's gonna take off from the tower and fly, 185 00:11:06,960 --> 00:11:10,079 Speaker 2: and you're kind of worried that he's not actually gonna fly. 186 00:11:10,240 --> 00:11:14,640 Speaker 2: It's gonna go very badly for him. Meanwhile, somebody's going 187 00:11:14,679 --> 00:11:18,319 Speaker 2: into labor down on the ground, and somebody else expills 188 00:11:18,360 --> 00:11:22,040 Speaker 2: this this basket full of homemade petals and all kinds 189 00:11:22,040 --> 00:11:24,480 Speaker 2: of stuff is going on it's a bright colors, the 190 00:11:24,480 --> 00:11:28,480 Speaker 2: blue wings, the white snow, the red petals, the woman 191 00:11:28,520 --> 00:11:31,720 Speaker 2: going into labor, the man at risk of dying, and 192 00:11:31,760 --> 00:11:35,880 Speaker 2: by the way, somebody's singing a song. Now, this song 193 00:11:36,640 --> 00:11:39,960 Speaker 2: is going to turn out to be very important much 194 00:11:40,040 --> 00:11:43,320 Speaker 2: later on in the novel. And indeed the song is 195 00:11:43,320 --> 00:11:46,000 Speaker 2: in the title of the novel. But I will bet 196 00:11:46,040 --> 00:11:49,439 Speaker 2: you dollars to donuts that the vast majority of readers 197 00:11:50,080 --> 00:11:52,600 Speaker 2: just do not notice the song, or they notice it 198 00:11:52,760 --> 00:11:56,280 Speaker 2: just enough that when it comes back towards the end 199 00:11:56,320 --> 00:11:59,040 Speaker 2: of the novel, they're like, oh my god, that song. 200 00:12:00,080 --> 00:12:02,440 Speaker 2: But it's hidden in plain sight because you're attending to 201 00:12:02,559 --> 00:12:05,240 Speaker 2: this potential death, and you're attending to the birth, and 202 00:12:05,240 --> 00:12:07,360 Speaker 2: you're attending to the spilling of the petals and the 203 00:12:07,360 --> 00:12:11,080 Speaker 2: colors and everything else. Brilliant. It's a kind of genius 204 00:12:11,080 --> 00:12:15,880 Speaker 2: move on the part of Tony Morris. Yeah, exactly right. 205 00:12:15,920 --> 00:12:18,080 Speaker 1: And just to flesh out of this idea of selective attention, 206 00:12:19,040 --> 00:12:21,400 Speaker 1: you know, let's let's take visual attention. 207 00:12:22,400 --> 00:12:24,720 Speaker 2: It's like a little spotlight and you. 208 00:12:24,640 --> 00:12:26,880 Speaker 1: Can make it narrow or you can make it slightly wider, 209 00:12:27,840 --> 00:12:30,880 Speaker 1: but everything outside of your field of attention you just 210 00:12:30,960 --> 00:12:33,920 Speaker 1: completely miss and hence all these things. Everyone's seen these 211 00:12:33,960 --> 00:12:38,080 Speaker 1: on the internet. At this, you know, inattentional blindness, where 212 00:12:38,600 --> 00:12:41,360 Speaker 1: you're trying, you're paying attention to something and as a 213 00:12:41,400 --> 00:12:44,600 Speaker 1: result of that, you don't see something else, like the 214 00:12:44,640 --> 00:12:46,679 Speaker 1: guy in the gorilla suit who walks in and beats 215 00:12:46,720 --> 00:12:51,160 Speaker 1: his chest. So, and of course this is why it 216 00:12:51,200 --> 00:12:53,800 Speaker 1: works with magic, because the magician does something. 217 00:12:53,840 --> 00:12:54,880 Speaker 2: You know, magicians do this thing. 218 00:12:54,920 --> 00:12:57,160 Speaker 1: Instead of moving their hands and straight lines, they typically 219 00:12:57,160 --> 00:12:59,640 Speaker 1: do it in a curve. And I don't know, this 220 00:12:59,720 --> 00:13:01,280 Speaker 1: is just something they picked up on a while ago 221 00:13:01,280 --> 00:13:03,560 Speaker 1: that you just can't help but watch if someone's hand 222 00:13:03,640 --> 00:13:06,480 Speaker 1: does something, you think, hey, that hand is up to something, 223 00:13:06,520 --> 00:13:07,000 Speaker 1: and your. 224 00:13:07,200 --> 00:13:08,160 Speaker 2: Attention goes to that. 225 00:13:08,400 --> 00:13:12,040 Speaker 1: Even if your eyeballs are watching the thing they're supposed 226 00:13:12,040 --> 00:13:14,600 Speaker 1: to be watching, your attention is on the hand moving. 227 00:13:14,960 --> 00:13:17,800 Speaker 1: And so then the magician can do whatever they want 228 00:13:18,640 --> 00:13:22,400 Speaker 1: outside of your field of attention. And so this is 229 00:13:22,440 --> 00:13:25,600 Speaker 1: indeed related to the garden path issue because the writer 230 00:13:26,559 --> 00:13:29,720 Speaker 1: gets to drop clues on things, but just so long 231 00:13:29,800 --> 00:13:32,240 Speaker 1: as making sure that your attention is elsewhere. 232 00:13:33,160 --> 00:13:34,440 Speaker 2: Yeah, okay, good. 233 00:13:34,559 --> 00:13:38,400 Speaker 1: So these are things that neuroscientists have been studying for 234 00:13:38,440 --> 00:13:42,440 Speaker 1: a long time and novelists have been exploiting presumably for 235 00:13:42,559 --> 00:13:45,040 Speaker 1: much longer that neuroscientists have been studying this. 236 00:13:45,320 --> 00:13:47,240 Speaker 2: That is right, and that's an important point, right. The 237 00:13:47,320 --> 00:13:51,679 Speaker 2: thought is not that, you know, Shakespeare gotten a time 238 00:13:51,760 --> 00:13:55,319 Speaker 2: machine and traveled to the twentieth or twenty first century 239 00:13:55,400 --> 00:13:59,000 Speaker 2: and read a bunch of cogni science. No, but you know, 240 00:13:59,080 --> 00:14:02,400 Speaker 2: honests tend to work great art sent to work intuitively. 241 00:14:02,720 --> 00:14:05,160 Speaker 2: They have this intuitive sense of what's gonna land. How 242 00:14:05,559 --> 00:14:08,280 Speaker 2: obviously the same it's the stage magicians. Stage magic's been 243 00:14:08,280 --> 00:14:11,400 Speaker 2: around for a very long time. It got a kind 244 00:14:11,440 --> 00:14:14,000 Speaker 2: of you know, it entered its sort of modern phase 245 00:14:14,040 --> 00:14:19,800 Speaker 2: in the nineteenth century with people like Udin long name, 246 00:14:19,920 --> 00:14:23,080 Speaker 2: but that's Houdini named himself after this guy, and he 247 00:14:23,160 --> 00:14:26,400 Speaker 2: was he was the first one to really transform into 248 00:14:26,400 --> 00:14:30,360 Speaker 2: something kind of professional where he wasn't pretending to summon spirits. 249 00:14:31,600 --> 00:14:35,440 Speaker 2: He called his tricks experiments as though he were a scientist. 250 00:14:35,840 --> 00:14:39,000 Speaker 2: Wow magician. So anyway, this is a kind of digression 251 00:14:39,000 --> 00:14:42,200 Speaker 2: into something that I'm excited about, but it's not totally 252 00:14:42,400 --> 00:14:45,960 Speaker 2: on topic. But the main point is all of these 253 00:14:45,960 --> 00:14:49,800 Speaker 2: folks have this intuitive sense, based on experience of how 254 00:14:49,840 --> 00:14:51,440 Speaker 2: you get things to land. In a certain way, and 255 00:14:51,480 --> 00:14:54,280 Speaker 2: now we have all these wonderful scientists like you who 256 00:14:54,280 --> 00:14:56,480 Speaker 2: are explaining why they got it right. 257 00:14:57,120 --> 00:15:01,120 Speaker 1: You know, it makes me wonder when magicians, let's say 258 00:15:01,160 --> 00:15:03,800 Speaker 1: a thousand years ago, performing to the king and maybe 259 00:15:03,840 --> 00:15:05,480 Speaker 1: summoning spirits, whatever they were doing. 260 00:15:05,720 --> 00:15:08,920 Speaker 2: But it makes me wonder what vocabulary they used among 261 00:15:09,080 --> 00:15:09,680 Speaker 2: one another? 262 00:15:11,240 --> 00:15:15,520 Speaker 1: Did they talk about the spotlight of attention in some way? 263 00:15:15,160 --> 00:15:18,080 Speaker 1: Did they intuit the mechanism as much as the what 264 00:15:18,240 --> 00:15:19,160 Speaker 1: to do about it? 265 00:15:19,480 --> 00:15:22,000 Speaker 2: I mean, we don't have all the records of what 266 00:15:22,000 --> 00:15:24,680 Speaker 2: we would need for that, especially as magicians keep diffe. 267 00:15:25,560 --> 00:15:28,080 Speaker 2: It's interesting wonder about. 268 00:15:27,840 --> 00:15:30,200 Speaker 1: Authors though, Let's say a thousand years ago, an author 269 00:15:30,200 --> 00:15:32,560 Speaker 1: who dropped clues over here but wanted to make sure 270 00:15:32,600 --> 00:15:34,120 Speaker 1: the audience's tension was over there. 271 00:15:34,160 --> 00:15:36,840 Speaker 2: I wonder how they described. 272 00:15:36,200 --> 00:15:39,280 Speaker 1: That when they, let's say, taught small seminar classes to 273 00:15:39,320 --> 00:15:42,600 Speaker 1: other authors, how do they talk about it? 274 00:15:42,680 --> 00:15:45,400 Speaker 2: So we don't have those records, but it's very interesting 275 00:15:45,440 --> 00:15:48,520 Speaker 2: to read what people are saying, you know, in the 276 00:15:48,600 --> 00:15:50,800 Speaker 2: late nineteth century, early twentieth century, because that we have 277 00:15:50,840 --> 00:15:53,440 Speaker 2: a bunch of people's letters, and we have people's essays, 278 00:15:53,440 --> 00:15:55,320 Speaker 2: and you know, one of my Favorites is an essay 279 00:15:55,320 --> 00:16:00,360 Speaker 2: by my favorite novelist, Marcel Proust, author of the three 280 00:16:00,360 --> 00:16:04,880 Speaker 2: thousand page be Off in Search of Lost Time. Have 281 00:16:04,960 --> 00:16:07,280 Speaker 2: you read the whole thing? Oh? Yeah, many times? Wow? 282 00:16:07,920 --> 00:16:09,640 Speaker 2: How long does it take you to go through the 283 00:16:09,680 --> 00:16:14,640 Speaker 2: first time? It took me seven years. Yeah, it's you know, 284 00:16:14,840 --> 00:16:17,880 Speaker 2: it's an investment. But that's well, that's part of what 285 00:16:17,920 --> 00:16:19,400 Speaker 2: you and I think about in the classes. You know, 286 00:16:20,040 --> 00:16:23,040 Speaker 2: why do we make those investments? And it's not just 287 00:16:23,320 --> 00:16:26,640 Speaker 2: for entertainment, and it's not irrational, it's completely irrational where 288 00:16:26,680 --> 00:16:29,440 Speaker 2: there are huge benefits that we get from the time 289 00:16:29,440 --> 00:16:32,080 Speaker 2: that we spend in our loving engagement with novels and 290 00:16:32,160 --> 00:16:34,360 Speaker 2: TV shows and movies that are that are challenging, not 291 00:16:34,360 --> 00:16:36,880 Speaker 2: just the ones that wear cars blow up. But to 292 00:16:36,920 --> 00:16:39,800 Speaker 2: go back to your question, you know, Pruce writes this 293 00:16:39,920 --> 00:16:43,360 Speaker 2: essay on Flaubert, the nineteenth century novelist, and he says, 294 00:16:43,440 --> 00:16:46,440 Speaker 2: you know, you're My favorite line in Flaubert is he 295 00:16:46,560 --> 00:16:53,520 Speaker 2: traveled two words sentence. It's a two words sentence, and 296 00:16:53,560 --> 00:16:57,280 Speaker 2: what Prusce loves about it is the use of verb tense, 297 00:16:58,480 --> 00:17:03,080 Speaker 2: so that this novel that is talking about by Flaubert, sorry, 298 00:17:03,120 --> 00:17:09,520 Speaker 2: sentimental education suddenly shifts from this kind of gradual imperfect 299 00:17:09,560 --> 00:17:12,800 Speaker 2: tense where things are kind of moving slowly and you 300 00:17:12,880 --> 00:17:16,160 Speaker 2: have maybe one hundred pages for an afternoon to this 301 00:17:17,080 --> 00:17:21,440 Speaker 2: He traveled, where you're compressing ten years into two words. Oh, 302 00:17:22,119 --> 00:17:25,879 Speaker 2: so you have these really interesting instances of writing just 303 00:17:25,920 --> 00:17:29,000 Speaker 2: talking about their craft, and they will talk about things 304 00:17:29,040 --> 00:17:30,679 Speaker 2: like that. They will say, you know, think about the 305 00:17:30,720 --> 00:17:33,040 Speaker 2: verb tenses using think about the way in which you're 306 00:17:33,040 --> 00:17:36,119 Speaker 2: handling time. Think about the point of view in the 307 00:17:36,160 --> 00:17:37,479 Speaker 2: novel and how it can shift, and how you can 308 00:17:37,480 --> 00:17:39,560 Speaker 2: trick the reader. I mean, that's a big thing in Flaubert, 309 00:17:39,920 --> 00:17:42,960 Speaker 2: and also in Jane Austen, tricking the She doesn't we 310 00:17:43,000 --> 00:17:44,960 Speaker 2: don't have the as far as I know, the records 311 00:17:44,960 --> 00:17:47,720 Speaker 2: of her talking about this, but it's clear in Flaubert 312 00:17:48,160 --> 00:17:53,359 Speaker 2: these writers are deliberately tricking us. They are tricking us 313 00:17:53,640 --> 00:17:58,919 Speaker 2: into thinking that some sequence of words is said to 314 00:17:58,920 --> 00:18:01,240 Speaker 2: you by the author and a ratre and it's just true, 315 00:18:02,160 --> 00:18:05,680 Speaker 2: when in reality it's actually just somebody's point of view. 316 00:18:05,920 --> 00:18:08,440 Speaker 2: And this turns out to be really good for us, 317 00:18:09,520 --> 00:18:11,280 Speaker 2: And why do you think it's good for us? So 318 00:18:11,400 --> 00:18:14,120 Speaker 2: this is another way in which, you know, I think 319 00:18:15,400 --> 00:18:20,879 Speaker 2: writers can in a salutary way exploit the frailties of 320 00:18:20,880 --> 00:18:24,639 Speaker 2: our cognitive apparatus, right, so why is it good for us? 321 00:18:24,920 --> 00:18:28,240 Speaker 2: You know, we encounter some kind of claim in a 322 00:18:28,280 --> 00:18:31,600 Speaker 2: work of fiction. A good example in Jane Austen's Pride 323 00:18:31,600 --> 00:18:35,320 Speaker 2: and Prejudice. There's a scene where this I borrow from 324 00:18:35,359 --> 00:18:39,040 Speaker 2: my friend and colleague Nnie Anderson. There's this scene where 325 00:18:39,080 --> 00:18:44,119 Speaker 2: Elizabeth Bennett is looking talking to mister Darcy, and everyone 326 00:18:44,200 --> 00:18:47,040 Speaker 2: will remember this from the novel of the Fantastic TV adaptation, 327 00:18:48,119 --> 00:18:52,159 Speaker 2: and she's talking to about this, this horrible situation with 328 00:18:52,200 --> 00:18:55,480 Speaker 2: her sister, and everyone's afraid of it and afraid what's 329 00:18:55,480 --> 00:18:58,639 Speaker 2: going to happen? And Darcy says something, and then the 330 00:18:58,680 --> 00:19:03,400 Speaker 2: line is a deeper shape of auteur spread across his features. Oh, 331 00:19:03,440 --> 00:19:07,440 Speaker 2: he's even more arrogant and supercilious than he ever was before. 332 00:19:07,840 --> 00:19:12,280 Speaker 2: He's disgusted. What a horrible family. These guys are trailer trash. 333 00:19:12,400 --> 00:19:15,640 Speaker 2: You know what am I getting myself involved in? Turns 334 00:19:15,640 --> 00:19:17,560 Speaker 2: out much later than the novel, It wasn't out at all. 335 00:19:17,920 --> 00:19:22,320 Speaker 2: So his expression did change. He was thinking about something, 336 00:19:22,320 --> 00:19:25,840 Speaker 2: he was feeling something. What was he feeling? Concern? He 337 00:19:25,880 --> 00:19:28,600 Speaker 2: was feeling all kinds of possib feelings. He was feeling concern, 338 00:19:29,119 --> 00:19:32,560 Speaker 2: he was thinking about his own situation. He happened to 339 00:19:32,680 --> 00:19:35,199 Speaker 2: know this bad guy that's involved in the situation. In 340 00:19:35,200 --> 00:19:40,359 Speaker 2: other words, this little, just this little sentence, this little 341 00:19:40,800 --> 00:19:44,119 Speaker 2: innocent looking sentence that looks like it's a statement of 342 00:19:44,200 --> 00:19:47,040 Speaker 2: fact about what's happening in the novel turns out to 343 00:19:47,119 --> 00:19:49,800 Speaker 2: be Elizabeth's point of view. Why is that good for us? 344 00:19:49,840 --> 00:19:53,520 Speaker 2: Because well, look, the whole novel is about pride and prejudice. 345 00:19:54,160 --> 00:19:57,000 Speaker 2: It's not just about the pride and prejudice of the characters, 346 00:19:57,359 --> 00:20:01,480 Speaker 2: it's about ours. Why did we we so quick to 347 00:20:02,040 --> 00:20:05,879 Speaker 2: interpret the sentence that way? Because we're prejudiced because we 348 00:20:05,960 --> 00:20:09,560 Speaker 2: have an existing belief about who Darcy is and what 349 00:20:09,640 --> 00:20:11,800 Speaker 2: kind of character he has, and he can't possibly be different, 350 00:20:11,880 --> 00:20:14,639 Speaker 2: he can't possibly be changed. Guess what we're wrong? 351 00:20:32,720 --> 00:20:32,959 Speaker 1: You know. 352 00:20:33,040 --> 00:20:36,080 Speaker 2: It strikes me this is part of the passage. 353 00:20:35,960 --> 00:20:39,040 Speaker 1: Into maturity that we all go through as humans, is 354 00:20:39,640 --> 00:20:42,879 Speaker 1: learning that our first interpretation of something in life is 355 00:20:42,960 --> 00:20:45,040 Speaker 1: not necessarily what we thought it was. 356 00:20:45,240 --> 00:20:45,960 Speaker 2: But we have these. 357 00:20:45,880 --> 00:20:48,160 Speaker 1: Internal models, and it's so hard to get over when 358 00:20:48,200 --> 00:20:50,720 Speaker 1: we think that someone's just given us a mean look 359 00:20:50,800 --> 00:20:53,040 Speaker 1: or something. I see my daughter who's in the fourth 360 00:20:53,080 --> 00:20:55,560 Speaker 1: grade now constantly come home and say, oh, so and 361 00:20:55,600 --> 00:20:57,680 Speaker 1: so looked or did this thing, And I think, gosh, 362 00:20:57,680 --> 00:21:01,480 Speaker 1: there are probably many interpretations for what happened there, right, 363 00:21:01,600 --> 00:21:04,800 Speaker 1: But all we ever live inside of is our internal model. 364 00:21:05,320 --> 00:21:08,800 Speaker 1: And one thing the brain is good at doing is 365 00:21:08,880 --> 00:21:12,120 Speaker 1: coming to conclusions. Instead of saying, well, there's a whole 366 00:21:12,160 --> 00:21:14,840 Speaker 1: table of hypotheses here that I could hold on to, 367 00:21:16,359 --> 00:21:20,360 Speaker 1: it collapses down to one theory about what just happened. 368 00:21:20,840 --> 00:21:22,600 Speaker 2: I totally agree with you, and I think that's one 369 00:21:22,640 --> 00:21:28,399 Speaker 2: of the enormous benefits of novel reading generally. I mean, obviously, again, 370 00:21:28,440 --> 00:21:30,399 Speaker 2: you could read novels just you know, sort of light, 371 00:21:30,480 --> 00:21:32,040 Speaker 2: fluffy stuff. You can read it for pleasure. Is nothing 372 00:21:32,080 --> 00:21:36,280 Speaker 2: wrong with that, But the kind that really challenge us, 373 00:21:36,320 --> 00:21:38,919 Speaker 2: like like J. Nausten's novels, like Tony Marshall's novels, like 374 00:21:39,119 --> 00:21:43,359 Speaker 2: Flaubert's novels, Proof three thousand page Meema, they do us 375 00:21:43,359 --> 00:21:46,479 Speaker 2: this enormous favorite. Milan Kundera talks about it. As you know, 376 00:21:46,840 --> 00:21:50,800 Speaker 2: reality is always more complicated than you think, and novels, 377 00:21:50,880 --> 00:21:54,560 Speaker 2: I think, get us into a better state of mind. 378 00:21:54,600 --> 00:21:58,639 Speaker 2: About that by what I think of as handing our 379 00:21:58,680 --> 00:21:59,280 Speaker 2: rear end to. 380 00:21:59,280 --> 00:22:03,439 Speaker 1: Us, so as in making you think, okay, I've got this, 381 00:22:03,440 --> 00:22:05,640 Speaker 1: I understand exactly what's going on, and then realizing, wow, 382 00:22:05,680 --> 00:22:09,399 Speaker 1: I really misinterpreted exactly. It's practice at real life in 383 00:22:09,400 --> 00:22:10,760 Speaker 1: that way, practice at real life. 384 00:22:10,920 --> 00:22:13,600 Speaker 2: Yeah, and it you know, if you do enough of it, 385 00:22:13,600 --> 00:22:16,040 Speaker 2: if you get into a kind of habit of novel reading, 386 00:22:16,280 --> 00:22:19,879 Speaker 2: you're more likely to be just a little slower and 387 00:22:19,960 --> 00:22:22,080 Speaker 2: jumping to these conclusions. And I think this habit of 388 00:22:22,119 --> 00:22:25,800 Speaker 2: reading these interesting novels that challenge us and pull a 389 00:22:25,840 --> 00:22:28,680 Speaker 2: rug out from under us should make us a little 390 00:22:28,680 --> 00:22:30,119 Speaker 2: bit more circumspect. 391 00:22:29,760 --> 00:22:32,320 Speaker 1: Exactly because the novel is like a sandbox that you 392 00:22:32,400 --> 00:22:34,920 Speaker 1: get to play in, and you get to follow these 393 00:22:34,960 --> 00:22:37,000 Speaker 1: trajectories and say, oh. 394 00:22:36,800 --> 00:22:37,719 Speaker 2: Yeah, things can turn out. 395 00:22:37,760 --> 00:22:41,520 Speaker 1: I expect it, and yes, it strengthens our muscles for 396 00:22:41,600 --> 00:22:43,639 Speaker 1: realizing that can happen in real life. 397 00:22:43,800 --> 00:22:45,720 Speaker 2: You know, I just posted on my substack this issue. 398 00:22:45,720 --> 00:22:50,200 Speaker 1: We've talked about this study before about how reading even 399 00:22:50,240 --> 00:22:53,640 Speaker 1: short bits of literature can expand your empathy and your 400 00:22:53,680 --> 00:22:56,440 Speaker 1: ability to see other people. This is a related issue 401 00:22:56,480 --> 00:22:59,720 Speaker 1: because it's allowing you to see not only what someone 402 00:22:59,720 --> 00:23:02,520 Speaker 1: else might be thinking, but what the whole situation could 403 00:23:02,520 --> 00:23:04,560 Speaker 1: be and how you misinterpreted it. 404 00:23:05,280 --> 00:23:06,320 Speaker 2: By the way, there's a good. 405 00:23:06,200 --> 00:23:12,119 Speaker 1: Example in the movie Oppenheimert where Robert Downey Junior's character 406 00:23:12,240 --> 00:23:16,800 Speaker 1: Lewis Strauss he's going to say something to Oppenheimer and 407 00:23:17,800 --> 00:23:24,040 Speaker 1: Albert Einstein passes him and looks very angry, and so 408 00:23:24,080 --> 00:23:28,119 Speaker 1: Strauss takes that personally and believes that Oppenheimer has just 409 00:23:28,240 --> 00:23:32,120 Speaker 1: said something to Einstein against him, and the whole movie 410 00:23:32,200 --> 00:23:35,680 Speaker 1: he hates Oppenheimer in part because of this, And at 411 00:23:35,680 --> 00:23:38,480 Speaker 1: the very end of the movie, I hope this is 412 00:23:38,480 --> 00:23:40,840 Speaker 1: a this is a minor spoiler, but at the very 413 00:23:40,920 --> 00:23:43,600 Speaker 1: end of the movie we find out that this wasn't 414 00:23:43,680 --> 00:23:46,440 Speaker 1: at all why Einstein had this concerned look on his face. 415 00:23:46,480 --> 00:23:50,400 Speaker 1: It's because Oppenheimer had just told him about the nuclear 416 00:23:50,440 --> 00:23:55,479 Speaker 1: bomb test and Einstein pictured the whole world going up 417 00:23:55,520 --> 00:24:00,480 Speaker 1: in flames and was so struck and depressed. Why this 418 00:24:01,400 --> 00:24:04,520 Speaker 1: vision he had of what was what the future was 419 00:24:04,920 --> 00:24:07,840 Speaker 1: that he walked by, And when Strauss said hello, Einstein 420 00:24:07,840 --> 00:24:10,040 Speaker 1: didn't even respond to him. And so we as the 421 00:24:10,080 --> 00:24:14,840 Speaker 1: audience find out that this misinterpretation has been with Strauss 422 00:24:14,880 --> 00:24:17,200 Speaker 1: for his whole career because of this, this one moment. 423 00:24:18,240 --> 00:24:20,239 Speaker 2: That's a great example, and you know, it reminds us 424 00:24:20,240 --> 00:24:24,920 Speaker 2: that these works of fiction makes self correction pleasurable. Right. 425 00:24:24,960 --> 00:24:27,840 Speaker 2: And of course, you know, we make mistakes all the 426 00:24:27,840 --> 00:24:30,640 Speaker 2: time in real life too, and sometimes we get our 427 00:24:30,680 --> 00:24:33,520 Speaker 2: rear ends handed twists in real life too, but that's 428 00:24:33,520 --> 00:24:38,800 Speaker 2: not pleasurable. But in fiction it's you know, oh wow, 429 00:24:38,920 --> 00:24:42,760 Speaker 2: oh that's so interesting. And I think that kind of 430 00:24:42,800 --> 00:24:45,960 Speaker 2: makes you know, it makes it go down easier, right, 431 00:24:46,560 --> 00:24:52,040 Speaker 2: It makes us associate recognizing the limits of our capacities 432 00:24:52,040 --> 00:24:55,760 Speaker 2: to know things with pleasure or at least not discomfort. 433 00:24:56,320 --> 00:24:57,920 Speaker 2: And I think that's that's going to be good for 434 00:24:58,000 --> 00:24:59,199 Speaker 2: us in the long run. In other way, it's the 435 00:24:59,240 --> 00:25:01,280 Speaker 2: other sign to what we're talking about at the beginning 436 00:25:01,320 --> 00:25:04,600 Speaker 2: about how rights can exploit biases. This is a way 437 00:25:04,640 --> 00:25:08,440 Speaker 2: in which runs us can gently push back against biases. Right, 438 00:25:08,520 --> 00:25:14,199 Speaker 2: these ways that we have of just distorting reality, of 439 00:25:14,200 --> 00:25:16,639 Speaker 2: getting things wrong, of thinking we know everything when we don't. 440 00:25:17,240 --> 00:25:21,000 Speaker 2: You can't completely undo that rain is what it is, 441 00:25:21,040 --> 00:25:24,280 Speaker 2: but you can gently nudge back against it and make 442 00:25:24,359 --> 00:25:26,639 Speaker 2: us a little bit better equipped to deal with the 443 00:25:26,640 --> 00:25:28,600 Speaker 2: world and each other. So let me ask you this. 444 00:25:29,840 --> 00:25:32,840 Speaker 1: You know, everybody's fictions of the future are always incorrect 445 00:25:32,960 --> 00:25:37,439 Speaker 1: in terms of how will kids be consuming entertainment in 446 00:25:37,480 --> 00:25:40,080 Speaker 1: the future. But one thing that does seem a little 447 00:25:40,080 --> 00:25:42,080 Speaker 1: bit of a problem is that there's a lot more 448 00:25:42,200 --> 00:25:45,360 Speaker 1: video game playing and a lot less novel reading. 449 00:25:45,800 --> 00:25:48,040 Speaker 2: And the question is if we take that to its extreme. 450 00:25:48,040 --> 00:25:50,560 Speaker 1: I don't know if that'll actually happen, but if kids 451 00:25:50,640 --> 00:25:53,480 Speaker 1: didn't read any literature and instead they just played role 452 00:25:53,520 --> 00:25:56,719 Speaker 1: playing action games, what is lost there? 453 00:25:57,480 --> 00:26:01,080 Speaker 2: So I don't want to not all video games. I 454 00:26:01,119 --> 00:26:03,119 Speaker 2: think there are actually some really interesting ones. There are 455 00:26:03,119 --> 00:26:05,280 Speaker 2: some very interesting games where you have choices to make 456 00:26:05,320 --> 00:26:08,080 Speaker 2: and at the end the game tells you this is 457 00:26:08,080 --> 00:26:11,639 Speaker 2: what you chose. How do you feel about that? So 458 00:26:11,680 --> 00:26:14,760 Speaker 2: there are actually some very interesting cases. But I do 459 00:26:14,800 --> 00:26:17,879 Speaker 2: think nonetheless, even with the best video games out there, Look, 460 00:26:18,040 --> 00:26:23,719 Speaker 2: each of our modes or cultural modes, has its own affordances, 461 00:26:23,840 --> 00:26:27,120 Speaker 2: has its own specific things to offer. So video games 462 00:26:27,160 --> 00:26:29,600 Speaker 2: have a particular thing to offer, but novels have this 463 00:26:29,640 --> 00:26:33,160 Speaker 2: particular thing to offer, and this particular trick that Jane 464 00:26:33,200 --> 00:26:36,639 Speaker 2: Austen pulls and that Flaubert Polls and other writers pull, 465 00:26:37,520 --> 00:26:41,080 Speaker 2: you kind of can't do that as well in other things. 466 00:26:41,200 --> 00:26:44,200 Speaker 1: Including by the way, TikTok videos or Instagram or tweet them. 467 00:26:44,720 --> 00:26:45,240 Speaker 2: Yeah. 468 00:26:45,400 --> 00:26:48,720 Speaker 1: Yeah, that concerns me just a little bit because investing 469 00:26:48,760 --> 00:26:51,159 Speaker 1: maybe not a three thousand page novel, but investing in 470 00:26:51,200 --> 00:26:53,879 Speaker 1: a novel and you think you have an interpretation, then 471 00:26:53,920 --> 00:26:55,119 Speaker 1: you find out that was wrong. 472 00:26:56,680 --> 00:26:58,120 Speaker 2: I just don't know if you can get that through 473 00:26:58,160 --> 00:27:01,640 Speaker 2: other media. I think it's right, I think especially short films. Right, 474 00:27:01,640 --> 00:27:04,320 Speaker 2: there are certain effects that can only be produced at 475 00:27:04,359 --> 00:27:09,639 Speaker 2: a certain length. Certain emotions require time to produce. Not 476 00:27:09,720 --> 00:27:12,879 Speaker 2: all emotions, but some emotions, you know, gosh, you have 477 00:27:12,960 --> 00:27:14,679 Speaker 2: to you need to spend the time of the characters 478 00:27:14,760 --> 00:27:18,320 Speaker 2: to get so invested that you will be profoundly affected 479 00:27:18,359 --> 00:27:21,359 Speaker 2: by their death in a story, for example. Right, So 480 00:27:21,400 --> 00:27:25,240 Speaker 2: there's a variety of things that kind of only really 481 00:27:25,280 --> 00:27:29,159 Speaker 2: work or work out their strongest if you're reading a 482 00:27:29,200 --> 00:27:32,560 Speaker 2: novel a couple hundred pages, maybe three thousand, let's tone 483 00:27:32,600 --> 00:27:35,600 Speaker 2: it down a few undred pages. But similarly, you know, 484 00:27:35,800 --> 00:27:38,679 Speaker 2: films have particular things to offer, and TV shows are 485 00:27:38,680 --> 00:27:39,520 Speaker 2: particular things to. 486 00:27:39,480 --> 00:27:43,000 Speaker 1: Offer exactly right, And you can watch a multi season 487 00:27:43,040 --> 00:27:45,720 Speaker 1: television show and get that same sort of effect out 488 00:27:45,720 --> 00:27:48,080 Speaker 1: of it. Yes, although I do want I just read 489 00:27:48,080 --> 00:27:51,880 Speaker 1: a statistic that YouTube, the revenue that YouTube makes swamps 490 00:27:52,080 --> 00:27:56,520 Speaker 1: Netflix and Disney and everyone else. And you know, they 491 00:27:56,560 --> 00:28:00,000 Speaker 1: tend to be standalone things. You know, they're getting longer, interesting, 492 00:28:00,240 --> 00:28:03,520 Speaker 1: like half an hour in length. But I you know, look, 493 00:28:03,600 --> 00:28:07,000 Speaker 1: I'm not a cultural pessimist. I think that generally speaking, 494 00:28:07,600 --> 00:28:10,080 Speaker 1: you know, each generation is good at some things and 495 00:28:10,080 --> 00:28:14,119 Speaker 1: bad as of other things. And you know it's foolish 496 00:28:14,160 --> 00:28:17,800 Speaker 1: to say, ah, the kids these days, things going to hell, right, 497 00:28:19,440 --> 00:28:22,960 Speaker 1: So there are some great things happening now. But I 498 00:28:23,000 --> 00:28:24,920 Speaker 1: also want to say, on the other side of that, 499 00:28:25,320 --> 00:28:27,159 Speaker 1: I think we need to try to hang on to 500 00:28:27,440 --> 00:28:31,920 Speaker 1: the practice of engaging with long form works of fiction, 501 00:28:32,160 --> 00:28:35,480 Speaker 1: long form works in nonfiction as well. But in the 502 00:28:35,480 --> 00:28:39,560 Speaker 1: context of our conversation, I don't want the world to 503 00:28:39,720 --> 00:28:45,240 Speaker 1: devolve into just tiktoks or you know, a two minute 504 00:28:45,360 --> 00:28:48,560 Speaker 1: YouTube video one after the other after the other. There 505 00:28:48,600 --> 00:28:50,240 Speaker 1: are things that we're losing if we lose that. 506 00:28:50,440 --> 00:28:50,920 Speaker 2: I agreed. 507 00:28:51,600 --> 00:28:56,080 Speaker 1: Are there any other cognitive biases that writers exploit? 508 00:28:56,640 --> 00:29:00,600 Speaker 2: Yeah, so one obvious one is the peak end, which 509 00:29:00,680 --> 00:29:04,800 Speaker 2: Conoman talks about. So that's the phenomenon where if you're 510 00:29:04,840 --> 00:29:09,280 Speaker 2: thinking about an experience that lasted for a certain length 511 00:29:09,320 --> 00:29:10,880 Speaker 2: of time. Let's say you went to Paris for a 512 00:29:10,880 --> 00:29:16,200 Speaker 2: week and somebody asks you, how was Paris. You're very likely, 513 00:29:16,800 --> 00:29:18,040 Speaker 2: you know, if you want to give like a one 514 00:29:18,080 --> 00:29:20,240 Speaker 2: would answer it was great. It was Paris. Of course 515 00:29:20,280 --> 00:29:23,160 Speaker 2: it was great. But you know, you're going to be 516 00:29:23,400 --> 00:29:28,440 Speaker 2: more influenced by the experience at its peak and the 517 00:29:28,480 --> 00:29:30,280 Speaker 2: experience at its sense. So whatever the last thing was 518 00:29:30,320 --> 00:29:32,920 Speaker 2: you did in Paris, and then whatever was either the 519 00:29:32,920 --> 00:29:35,400 Speaker 2: greatest thing or the most horrible thing that happened in Paris. 520 00:29:36,440 --> 00:29:40,280 Speaker 2: That affects our reading of literature too. It makes endings 521 00:29:40,920 --> 00:29:45,600 Speaker 2: unusually important. Right, A great ending can almost save a 522 00:29:46,320 --> 00:29:48,640 Speaker 2: mediocre work of art, and a terrible edd it can 523 00:29:48,760 --> 00:29:51,760 Speaker 2: ruin what was otherwise a great work of art. So 524 00:29:51,880 --> 00:29:54,600 Speaker 2: that's one another one which Viera Tobin has talked about, 525 00:29:54,840 --> 00:29:57,160 Speaker 2: just this brilliant theory about this thing called the curse 526 00:29:57,240 --> 00:30:00,920 Speaker 2: of knowledge and the curse of knowledg Knowledge is basically 527 00:30:01,880 --> 00:30:05,360 Speaker 2: this phenomenon where once you know something, it becomes more 528 00:30:05,400 --> 00:30:09,520 Speaker 2: difficult for you to imagine not knowing it. And it 529 00:30:09,600 --> 00:30:14,160 Speaker 2: even applies to yourself of five minutes ago. So when 530 00:30:14,800 --> 00:30:17,160 Speaker 2: when you're watching a quiz show and they give the answer, 531 00:30:17,240 --> 00:30:19,960 Speaker 2: you think, ah, I should have known that, because now 532 00:30:19,960 --> 00:30:23,400 Speaker 2: you know it, and so vera. Tobin says, this is 533 00:30:23,480 --> 00:30:28,280 Speaker 2: one of the ways in which twists work in literature 534 00:30:28,640 --> 00:30:33,080 Speaker 2: and in movies, that you want the reader or viewer 535 00:30:33,120 --> 00:30:38,920 Speaker 2: to have this experience of of course it was Jimmy. 536 00:30:39,520 --> 00:30:41,800 Speaker 2: Of course it was Jimmy. I should have known all along. 537 00:30:42,480 --> 00:30:44,280 Speaker 2: But you don't want people to figure out it was 538 00:30:44,360 --> 00:30:47,600 Speaker 2: Jimmy after five minutes. And that's a difficult thing to 539 00:30:47,600 --> 00:30:51,400 Speaker 2: pull off as a writer or a screenwriter. So Tobin says, well, look, 540 00:30:51,440 --> 00:30:54,640 Speaker 2: you exploit the curse of knowledge. You drop a few 541 00:30:54,680 --> 00:30:59,600 Speaker 2: breadcrumbs around where you know it could be Jimmy, and 542 00:30:59,640 --> 00:31:00,720 Speaker 2: by the time time you get to the end you 543 00:31:00,760 --> 00:31:04,000 Speaker 2: reveal it's Jimmy. Because of the curse of knowledge, the 544 00:31:04,080 --> 00:31:06,800 Speaker 2: viewer is going to say, oh, that's such a satisfying 545 00:31:06,960 --> 00:31:09,000 Speaker 2: of of course it was Jimmy. So these are a 546 00:31:09,040 --> 00:31:12,520 Speaker 2: couple more of these little quirks of our cognitive apparatus 547 00:31:12,560 --> 00:31:16,240 Speaker 2: that writers can exploit to delight and challenge and and 548 00:31:16,240 --> 00:31:18,680 Speaker 2: and push us not just out of our comfort zone, 549 00:31:18,800 --> 00:31:19,640 Speaker 2: terrific and. 550 00:31:19,560 --> 00:31:23,720 Speaker 1: So for other biases that writers can exploit, what about priming. 551 00:31:23,880 --> 00:31:27,920 Speaker 2: What is priming great? So priming is a phenomenon where 552 00:31:27,960 --> 00:31:34,000 Speaker 2: basically exposure to a given stimulus makes subsequent related stimuli 553 00:31:34,040 --> 00:31:37,840 Speaker 2: more salient. So that's a lot of jargon. The basic 554 00:31:37,880 --> 00:31:42,280 Speaker 2: thought is that if you've just seen a wolf and 555 00:31:42,360 --> 00:31:45,840 Speaker 2: you're walking around in the forest, then some sudden rustling 556 00:31:45,920 --> 00:31:48,760 Speaker 2: might make you think that's another wolf. Right, You're going 557 00:31:48,840 --> 00:31:51,720 Speaker 2: to be more sensitive either to real or even imagined 558 00:31:52,000 --> 00:31:55,320 Speaker 2: phenomena that are that are similar to what you've just experienced. 559 00:31:56,000 --> 00:31:58,520 Speaker 2: So this shows up in all kinds of ways in 560 00:31:58,960 --> 00:32:05,080 Speaker 2: literary texts. You can get people to anticipate things, whether 561 00:32:05,120 --> 00:32:09,640 Speaker 2: they're going to be there or not. Priming works in 562 00:32:09,680 --> 00:32:10,960 Speaker 2: some surprising ways. 563 00:32:11,960 --> 00:32:15,239 Speaker 3: So for example, if you you know, if you if 564 00:32:15,280 --> 00:32:18,120 Speaker 3: you flash up on a screen for fraction of a 565 00:32:18,160 --> 00:32:22,720 Speaker 3: second the word eight, people will be quicker. 566 00:32:22,560 --> 00:32:24,880 Speaker 2: As in E E I G H D I G 567 00:32:25,080 --> 00:32:27,520 Speaker 2: H T got it. People with quicker to notice the 568 00:32:27,640 --> 00:32:32,520 Speaker 2: number eight. That's straightforward. But they'll also be quicker to 569 00:32:32,640 --> 00:32:36,880 Speaker 2: notice things that rhyme with that. And here's a really 570 00:32:36,920 --> 00:32:40,200 Speaker 2: wild one. If you flash up the word towed t 571 00:32:40,360 --> 00:32:44,200 Speaker 2: O W E D as in they towed my car yesterday, 572 00:32:45,040 --> 00:32:48,000 Speaker 2: people are going to be quicker at recognizing the word frog. 573 00:32:49,400 --> 00:32:52,280 Speaker 2: Why because obviously t O w D sounds a bit 574 00:32:52,360 --> 00:32:56,080 Speaker 2: like t O A D the wart amphibian. So that's fascinating. 575 00:32:56,080 --> 00:32:58,160 Speaker 2: Then what's going on in there? Somehow the brain is 576 00:32:58,200 --> 00:33:03,640 Speaker 2: registering this, translate it into sounds and then generating associations 577 00:33:03,680 --> 00:33:04,840 Speaker 2: based on those sounds, and. 578 00:33:04,760 --> 00:33:06,920 Speaker 1: All that's happening under the hood. And and what this 579 00:33:07,040 --> 00:33:09,440 Speaker 1: tells us, by the way, is that all this activity 580 00:33:09,520 --> 00:33:12,880 Speaker 1: is constantly churning under the hood, even when we have 581 00:33:12,960 --> 00:33:13,560 Speaker 1: no idea. 582 00:33:13,680 --> 00:33:16,480 Speaker 2: Word flashes and I mean just. 583 00:33:18,160 --> 00:33:20,640 Speaker 1: Exactly all the pathways that are tickled as a result 584 00:33:20,720 --> 00:33:21,520 Speaker 1: of that exactly. 585 00:33:22,400 --> 00:33:26,800 Speaker 2: So then this is a delicious thing for poets to exploit. Yeah, 586 00:33:27,240 --> 00:33:33,800 Speaker 2: so Shakespeare. Shakespeare's Sonnet seven is a sonnet that is 587 00:33:34,080 --> 00:33:38,480 Speaker 2: basically a sonnet about how how much it sucks to 588 00:33:38,520 --> 00:33:43,800 Speaker 2: geld and it's it compares, you know, the search dijectorial 589 00:33:43,920 --> 00:33:48,240 Speaker 2: life to the sun rising being high in the sky 590 00:33:48,520 --> 00:33:51,480 Speaker 2: and then setting and and and the speaker basically says, 591 00:33:51,600 --> 00:33:53,840 Speaker 2: you know, sounds pretty glorious when it rises, and then 592 00:33:53,880 --> 00:33:57,520 Speaker 2: it's really powerful. Everyone's in all of the sun when 593 00:33:57,560 --> 00:33:59,760 Speaker 2: it's at its height. But then when it goes down 594 00:33:59,800 --> 00:34:03,400 Speaker 2: and doesn't give a monkey's about it anymore. And this 595 00:34:03,520 --> 00:34:08,040 Speaker 2: is my situation, David, just kid. But here's the cool thing. 596 00:34:08,320 --> 00:34:12,759 Speaker 2: The last coumpl it is so thou thyself outgoing in 597 00:34:12,960 --> 00:34:17,799 Speaker 2: thy noon, unlooked on, diest unless thou hast a son. 598 00:34:18,320 --> 00:34:23,400 Speaker 2: So what the speaker saying is, you're going to be 599 00:34:23,440 --> 00:34:27,439 Speaker 2: in the situation of that son as it sets, where 600 00:34:27,520 --> 00:34:30,680 Speaker 2: no one cares about you. You're going to be going 601 00:34:30,719 --> 00:34:33,920 Speaker 2: to die unlooked on. People aren't going to pay any 602 00:34:33,920 --> 00:34:37,160 Speaker 2: attention to you unless you have a child, Unless you 603 00:34:37,239 --> 00:34:41,239 Speaker 2: have a son. This comes out of nowhere in the poem, right, 604 00:34:41,280 --> 00:34:45,000 Speaker 2: there's nothing at all about love or marriage or procreation. Nothing. 605 00:34:45,520 --> 00:34:49,160 Speaker 2: Suddenly the speaker's like, so anyway, you should have children, 606 00:34:50,000 --> 00:34:53,520 Speaker 2: but specifically a son, specifically a son. And I hope 607 00:34:53,560 --> 00:34:56,920 Speaker 2: you see where I'm going with this. On the one end, 608 00:34:56,960 --> 00:34:58,440 Speaker 2: it comes out of nowhere, But on the other end 609 00:34:58,440 --> 00:35:01,040 Speaker 2: doesn't feel like it comes out of nowhere. Why because 610 00:35:01,080 --> 00:35:03,400 Speaker 2: we've been hearing the entire time about the sun s 611 00:35:03,560 --> 00:35:07,200 Speaker 2: U N And that works on us exactly the same 612 00:35:07,239 --> 00:35:10,800 Speaker 2: way that tweed works on us. And it makes the 613 00:35:10,880 --> 00:35:15,600 Speaker 2: word sun feel completely natural. Yeah, we're primed to sort 614 00:35:15,600 --> 00:35:18,759 Speaker 2: of half expect the word s O n son. 615 00:35:32,920 --> 00:35:34,759 Speaker 1: So this comes back to the question I asked before, 616 00:35:34,760 --> 00:35:37,759 Speaker 1: which is how in the world when Shakespeare or the 617 00:35:37,840 --> 00:35:41,239 Speaker 1: different authors who we summarized Shakespeare, when they sat around 618 00:35:41,320 --> 00:35:43,319 Speaker 1: and talked about this sort of thing, how did they 619 00:35:44,360 --> 00:35:47,560 Speaker 1: How did they? Was it just an intuition that word 620 00:35:47,640 --> 00:35:48,640 Speaker 1: feels right there? 621 00:35:49,360 --> 00:35:53,640 Speaker 2: Possibly? I think we don't know enough abounce it. Uh, 622 00:35:53,840 --> 00:35:56,720 Speaker 2: you know, we have some we have some writ things 623 00:35:57,200 --> 00:36:00,320 Speaker 2: from for example, seventeenth century France. They were there's a 624 00:36:00,560 --> 00:36:05,400 Speaker 2: big period of thinking hard about dramatic technique in particular, 625 00:36:05,520 --> 00:36:08,600 Speaker 2: so there's lots of raging debates about how you do 626 00:36:08,719 --> 00:36:11,319 Speaker 2: things and why there are stuff we have from tenth 627 00:36:11,400 --> 00:36:14,520 Speaker 2: century Kashmir. So one of my fantastic former students now 628 00:36:14,600 --> 00:36:19,680 Speaker 2: teaching at Claremont works on two guys named Ibnvagupta Ananda Vardner, 629 00:36:19,719 --> 00:36:22,480 Speaker 2: and they're thinking about how do you produce poetry that 630 00:36:22,560 --> 00:36:28,680 Speaker 2: elicits certain experiences, particularly emotional experiences in viewers, listeners, readers. 631 00:36:29,960 --> 00:36:34,240 Speaker 2: So at certain times, in certain places you get actual 632 00:36:34,520 --> 00:36:40,560 Speaker 2: explicit reflection on it, sometimes really insightful. But I think 633 00:36:40,600 --> 00:36:44,440 Speaker 2: it's really the nineteenth and twentieth centuries in at least 634 00:36:44,480 --> 00:36:47,680 Speaker 2: in the European tradition that people really start digging in 635 00:36:48,120 --> 00:36:49,799 Speaker 2: to a bunch of these things, and so we can 636 00:36:50,200 --> 00:36:53,040 Speaker 2: you know, we could be absolutely sure that Flaubert was 637 00:36:53,080 --> 00:36:56,480 Speaker 2: thinking about the way his sentences sounded and their shape, 638 00:36:56,600 --> 00:37:00,279 Speaker 2: and Prus was thinking about verb tenses. And that's something 639 00:37:00,320 --> 00:37:05,640 Speaker 2: that is clearly happening. You know, as these as these 640 00:37:06,400 --> 00:37:09,759 Speaker 2: crafts sort of become more professionalized and people are thinking 641 00:37:09,840 --> 00:37:13,480 Speaker 2: about what they're doing. The central point for us is, yes, 642 00:37:13,960 --> 00:37:17,120 Speaker 2: these many of these folks were just intuitive, aren'tists. They 643 00:37:17,200 --> 00:37:19,319 Speaker 2: had a feeling this is how it's going to work, 644 00:37:19,520 --> 00:37:21,400 Speaker 2: sometimes just by trying it on themselves. 645 00:37:22,280 --> 00:37:24,960 Speaker 1: So this makes me think of something which is as 646 00:37:25,000 --> 00:37:28,239 Speaker 1: a field, neuroscience constantly thinks, hey, we're just covering on things. 647 00:37:28,400 --> 00:37:31,840 Speaker 1: Often there are plenty of examples scattered through the millennia 648 00:37:32,120 --> 00:37:33,160 Speaker 1: where we see people have. 649 00:37:33,200 --> 00:37:35,680 Speaker 2: Thought about these topics before. So here's the question I 650 00:37:35,760 --> 00:37:36,160 Speaker 2: have for you. 651 00:37:37,880 --> 00:37:40,279 Speaker 1: Let me take one step back to introduce this question, 652 00:37:40,440 --> 00:37:42,600 Speaker 1: which is, if you look at what's happened, for example, 653 00:37:42,680 --> 00:37:44,480 Speaker 1: in the game of chess or the game of go, 654 00:37:45,600 --> 00:37:49,000 Speaker 1: what's happened is that Ai has come along beat the 655 00:37:49,040 --> 00:37:52,640 Speaker 1: world champion, but all the human players have gotten better 656 00:37:52,760 --> 00:37:54,680 Speaker 1: as a result, all the chess players in the world 657 00:37:54,760 --> 00:37:58,040 Speaker 1: are better players now because they're training with AI. They're 658 00:37:58,160 --> 00:38:02,319 Speaker 1: taking new hints and strategies from AI in both chess 659 00:38:02,400 --> 00:38:07,440 Speaker 1: and go. And I've been very interested in what writers 660 00:38:07,680 --> 00:38:12,120 Speaker 1: will do, and I'm very curious about things that maybe 661 00:38:12,239 --> 00:38:14,760 Speaker 1: just haven't been intuited over the last couple of millennia. 662 00:38:14,880 --> 00:38:18,319 Speaker 2: But we will realize, Hey, there's this whole new thing 663 00:38:18,400 --> 00:38:20,600 Speaker 2: we can do here. Have you thought about this topic. 664 00:38:21,560 --> 00:38:24,479 Speaker 2: We'll bound to be wrong whenever we say, I guess 665 00:38:24,600 --> 00:38:30,480 Speaker 2: there's a couple of interesting analogs. Right, You've mentioned one 666 00:38:31,040 --> 00:38:34,680 Speaker 2: the world of go and chess. Another is photography. So 667 00:38:34,800 --> 00:38:39,680 Speaker 2: photography comes in in the nineteenth century, and some answersts 668 00:38:39,960 --> 00:38:42,920 Speaker 2: are a little worried by that because you know, for 669 00:38:43,080 --> 00:38:46,600 Speaker 2: some folks they saw themselves as being in the business 670 00:38:46,680 --> 00:38:51,720 Speaker 2: of representing the world of sort of producing a faithful depiction. 671 00:38:52,040 --> 00:38:57,279 Speaker 2: You mean painters, Yes, painters. Not everyone saw themselves in that, 672 00:38:57,320 --> 00:38:59,000 Speaker 2: but just as some did. And so it's kind of 673 00:38:59,000 --> 00:39:02,680 Speaker 2: an interesting challenge. Now, notice that you can go two ways. 674 00:39:03,239 --> 00:39:07,319 Speaker 2: Some folks became photography artists. Right, We're going to take 675 00:39:07,360 --> 00:39:11,080 Speaker 2: this new medium and exploit it for what it can 676 00:39:11,160 --> 00:39:13,160 Speaker 2: do in the world was, you know, not just thinking 677 00:39:13,239 --> 00:39:18,800 Speaker 2: of it as a kind of information gathering information gathering machine, 678 00:39:19,480 --> 00:39:21,800 Speaker 2: but hey, you know, we can scratch the photo. We 679 00:39:21,920 --> 00:39:23,920 Speaker 2: can you know, we can overexpose it. We're not under 680 00:39:23,920 --> 00:39:27,120 Speaker 2: exposed it. We can solarize it. All kinds of cool things, right, 681 00:39:27,239 --> 00:39:29,920 Speaker 2: or we can we can make photographs that are kind 682 00:39:29,920 --> 00:39:33,200 Speaker 2: of surreal by juxtaposing things, all kinds of fantastic stuff 683 00:39:33,239 --> 00:39:36,840 Speaker 2: in the domain of photography. But another very different trajectory 684 00:39:37,640 --> 00:39:41,200 Speaker 2: consists of artists who are saying I'm going to do 685 00:39:41,280 --> 00:39:44,960 Speaker 2: a thing that photography can't do, right, and that happens 686 00:39:45,080 --> 00:39:47,840 Speaker 2: not only in photography, but interestingly also in literature. Of 687 00:39:47,920 --> 00:39:52,080 Speaker 2: people even in literature are saying, well, this whole, this 688 00:39:52,120 --> 00:39:55,040 Speaker 2: whole business photography is making me think literature shouldn't be 689 00:39:55,040 --> 00:39:59,439 Speaker 2: photography either. Metaphorically speaking, literature shouldn't just be a kind 690 00:39:59,520 --> 00:40:02,680 Speaker 2: of well, you know what, there are five houses on 691 00:40:02,760 --> 00:40:06,280 Speaker 2: that street and one of them is read right, Okay, 692 00:40:06,840 --> 00:40:09,120 Speaker 2: you're fine, you know, you take your camera out and 693 00:40:09,400 --> 00:40:13,600 Speaker 2: you can you can transmit that information. I think we 694 00:40:13,800 --> 00:40:18,080 Speaker 2: could potentially anticipate one or both of those things happening 695 00:40:18,200 --> 00:40:20,680 Speaker 2: with the world of AI, so you could potentially imagine 696 00:40:20,760 --> 00:40:25,359 Speaker 2: people taking this AI thing and making interesting as ounce 697 00:40:25,400 --> 00:40:28,360 Speaker 2: of it. And I've seen some cases of that, but 698 00:40:28,480 --> 00:40:33,440 Speaker 2: you could also, hopefully, I would like to think, imagine novelists, 699 00:40:33,520 --> 00:40:39,319 Speaker 2: filmmakers and TV show ritss and so on saying themselves, Okay, 700 00:40:39,920 --> 00:40:43,120 Speaker 2: this is an opportunity to think about what's special and 701 00:40:43,200 --> 00:40:47,640 Speaker 2: distinctive about the medium that we have. What is it 702 00:40:47,760 --> 00:40:51,920 Speaker 2: that we do that this technology can't do, and to 703 00:40:52,000 --> 00:40:54,840 Speaker 2: try to really lean into that and push that to 704 00:40:54,960 --> 00:40:55,399 Speaker 2: its limit. 705 00:40:57,520 --> 00:41:00,880 Speaker 1: I love that and just a flesh set out, you know, 706 00:41:01,040 --> 00:41:05,879 Speaker 1: with painting that led to the Impressionists and the surrealists 707 00:41:05,920 --> 00:41:09,000 Speaker 1: and the Cubists and so on, because they said, look, 708 00:41:09,120 --> 00:41:11,160 Speaker 1: photo can't do this. That's we're going to move into 709 00:41:11,200 --> 00:41:14,200 Speaker 1: that realm there. And so it's very interesting to me. 710 00:41:14,440 --> 00:41:16,880 Speaker 1: I can tell when I'm reading substack articles, I can 711 00:41:16,960 --> 00:41:19,919 Speaker 1: tell who's just popped out of chat GYPTV who's really 712 00:41:20,000 --> 00:41:22,960 Speaker 1: written it, because at least right now, there still exists 713 00:41:23,000 --> 00:41:25,280 Speaker 1: a pretty big difference and you can tell human writing 714 00:41:27,320 --> 00:41:31,000 Speaker 1: and it's so lovely. I feel like it's more appreciated 715 00:41:31,080 --> 00:41:31,680 Speaker 1: than ever now. 716 00:41:31,920 --> 00:41:35,040 Speaker 2: Yeah that's true, Thank goodness, right, and you know it's Yeah, 717 00:41:35,040 --> 00:41:37,320 Speaker 2: it's an opportunity obviously a bunch of things are happening, 718 00:41:37,440 --> 00:41:42,359 Speaker 2: some are good, some not so good. But whatever, whatever 719 00:41:42,440 --> 00:41:44,480 Speaker 2: is happening, it's an opportunity for rest All to think about, Okay, 720 00:41:44,719 --> 00:41:46,840 Speaker 2: why is it we value what we value? Why do 721 00:41:46,920 --> 00:41:49,880 Speaker 2: we value I totally value it when an actual person 722 00:41:49,960 --> 00:41:52,480 Speaker 2: wrote it right. Somebody said, watched I bother reading if 723 00:41:52,520 --> 00:41:55,000 Speaker 2: you couldn't even be bothered to write it? And I 724 00:41:55,040 --> 00:41:58,520 Speaker 2: think there's something about our relationship to Jane Austen, to 725 00:41:58,560 --> 00:42:03,360 Speaker 2: Tony Morrison, to Marssell proof to these writers that we 726 00:42:03,600 --> 00:42:06,920 Speaker 2: love spending time around too. Great filmmakers like Charlie Kaufman. 727 00:42:07,920 --> 00:42:11,080 Speaker 2: There's something of a connection that we establish with them, 728 00:42:11,120 --> 00:42:14,520 Speaker 2: almost a communion that we establish with them across their artwork, 729 00:42:15,520 --> 00:42:17,960 Speaker 2: which is just not going to be the case with 730 00:42:18,120 --> 00:42:21,759 Speaker 2: AI generated material. Now. You know, in some cases, like 731 00:42:22,480 --> 00:42:26,160 Speaker 2: I'm a big fan of pop music, and I often 732 00:42:26,239 --> 00:42:28,000 Speaker 2: care who wrote a song, but I don't always care 733 00:42:28,000 --> 00:42:30,440 Speaker 2: who wrote a song right. So there are some cases 734 00:42:30,480 --> 00:42:35,680 Speaker 2: where that's not necessarily the most important thing that's going 735 00:42:35,719 --> 00:42:37,959 Speaker 2: on in the transaction, But there are other cases where 736 00:42:38,320 --> 00:42:39,960 Speaker 2: it clearly is absolutely essential. 737 00:42:40,080 --> 00:42:42,520 Speaker 1: Also, I would assert that as possible that you maybe 738 00:42:42,680 --> 00:42:46,160 Speaker 1: care that the song was written by somebody. 739 00:42:46,280 --> 00:42:48,560 Speaker 2: And part of this plugs is great. 740 00:42:49,200 --> 00:42:51,080 Speaker 1: Yeah, part of the plugs into what I'm calling the 741 00:42:51,120 --> 00:42:55,040 Speaker 1: effort phenomenon, which is just that we really care about 742 00:42:56,000 --> 00:42:58,840 Speaker 1: the effort that's gone into something. And so when we 743 00:42:58,920 --> 00:43:01,320 Speaker 1: look at Proust writing three thousand page novel and we 744 00:43:01,440 --> 00:43:04,279 Speaker 1: imagine the years or possibly decades. 745 00:43:03,960 --> 00:43:04,800 Speaker 2: That it took him to do that. 746 00:43:05,600 --> 00:43:07,680 Speaker 1: You know, I could generate a three thousand page thing 747 00:43:07,719 --> 00:43:09,760 Speaker 1: on chat GPT and you say, what a waste. 748 00:43:09,840 --> 00:43:12,160 Speaker 2: I can't believe you'd actually want someone to read that. 749 00:43:12,920 --> 00:43:17,040 Speaker 1: Yeah, So it's the it's our understanding of what he 750 00:43:17,280 --> 00:43:19,879 Speaker 1: did to get there that makes the difference. And by 751 00:43:19,920 --> 00:43:22,960 Speaker 1: the way, this is why I, for example, you know, 752 00:43:23,040 --> 00:43:26,440 Speaker 1: I give public lectures and I'm not at all worried 753 00:43:26,440 --> 00:43:30,080 Speaker 1: about that going away because people really care. 754 00:43:30,120 --> 00:43:31,560 Speaker 2: I think, possibly now more than. 755 00:43:31,480 --> 00:43:36,400 Speaker 1: Ever, about seeing a human, you know, and having that 756 00:43:36,520 --> 00:43:38,840 Speaker 1: human fly across the country and stand on that stage 757 00:43:38,880 --> 00:43:39,799 Speaker 1: where I can see them. 758 00:43:39,840 --> 00:43:41,880 Speaker 2: That makes a big difference. That's a great point. And 759 00:43:41,920 --> 00:43:44,000 Speaker 2: then of course the Q and A where you yeah, 760 00:43:44,520 --> 00:43:48,279 Speaker 2: you're not chat gptaying it. Yeah, it's real you, yeah, 761 00:43:48,600 --> 00:43:51,000 Speaker 2: real them. I love this point, and it can be 762 00:43:51,120 --> 00:43:54,080 Speaker 2: much more imperfect one of the abogies give this. I 763 00:43:54,120 --> 00:43:57,080 Speaker 2: gave this analogy on on an episode a while ago. 764 00:43:57,160 --> 00:44:00,920 Speaker 2: But there's this interesting thing with synthetic diamonds. Now, you 765 00:44:01,080 --> 00:44:04,160 Speaker 2: can in a laboratory generate a synthetic diamond that is perfect, 766 00:44:04,200 --> 00:44:07,200 Speaker 2: that has no flaws in it, but still people care 767 00:44:07,200 --> 00:44:09,520 Speaker 2: about the real thing with the flaws and won't pay 768 00:44:09,600 --> 00:44:12,680 Speaker 2: much more money for it because, in a sense, Mother 769 00:44:12,840 --> 00:44:16,319 Speaker 2: Nature put a billion years of effort into making that thing, 770 00:44:16,400 --> 00:44:18,400 Speaker 2: as opposed to five days in the lab. That's a 771 00:44:18,440 --> 00:44:21,640 Speaker 2: lovely analogy. I love that. I always think of Michelangelo's 772 00:44:21,760 --> 00:44:26,880 Speaker 2: Sistine Champel ceiling. I mean, it's intrinsically beautiful, but part 773 00:44:27,000 --> 00:44:29,480 Speaker 2: of what we're experiencing is how did he do that? 774 00:44:30,200 --> 00:44:33,120 Speaker 2: The virtue walcity is part of the experience. Yeah, how 775 00:44:33,200 --> 00:44:35,000 Speaker 2: did you do that? How did Michael Angelier pay the 776 00:44:35,000 --> 00:44:38,200 Speaker 2: Sisting Champel ceiling? How did Tony Morrison manage to pull 777 00:44:38,320 --> 00:44:40,520 Speaker 2: that incredible trick on us? And it's not just a 778 00:44:40,640 --> 00:44:44,120 Speaker 2: cheap trick. Yeah, it's a trick that moves us. It's 779 00:44:44,120 --> 00:44:46,440 Speaker 2: a trick that challenges us. It's a trick that makes 780 00:44:46,520 --> 00:44:48,879 Speaker 2: us relate to the world in a different way. It's 781 00:44:48,920 --> 00:44:51,359 Speaker 2: extraordinaring and you just have to take your hat off 782 00:44:51,400 --> 00:44:54,200 Speaker 2: to Tony Morrison, and that is an experience of a 783 00:44:54,280 --> 00:44:57,680 Speaker 2: human being that cannot be replicated through technology. 784 00:45:02,080 --> 00:45:04,360 Speaker 1: That was my interview with my colleague at stand for, 785 00:45:04,560 --> 00:45:07,759 Speaker 1: Joshua Landy, as we talked about just a few of 786 00:45:07,840 --> 00:45:11,800 Speaker 1: the issues that surface in our course literature and the brain. 787 00:45:12,239 --> 00:45:14,200 Speaker 1: And so this brings me back to the beginning of 788 00:45:14,280 --> 00:45:18,960 Speaker 1: the podcast, to my kitchen where my daughter sits frozen, 789 00:45:19,120 --> 00:45:22,480 Speaker 1: her eyes darting around while her head is locked on 790 00:45:22,600 --> 00:45:25,080 Speaker 1: a page, and she is living in a world with 791 00:45:25,239 --> 00:45:28,600 Speaker 1: a monkey and a cat in outer space. Her body 792 00:45:28,920 --> 00:45:32,600 Speaker 1: is in the here and now, but her mind is elsewhere. 793 00:45:32,719 --> 00:45:37,480 Speaker 1: And that I think is the extraordinary magic of literature. 794 00:45:37,880 --> 00:45:41,840 Speaker 1: It takes the most advanced piece of biological hardware in 795 00:45:41,960 --> 00:45:46,480 Speaker 1: the known universe, the brain, and invites it to simulate 796 00:45:47,360 --> 00:45:53,120 Speaker 1: entire worlds, to run experiments in alternate lives, to dance 797 00:45:53,200 --> 00:45:57,440 Speaker 1: with ambiguity, and to revise its assumptions again and again. 798 00:45:58,000 --> 00:46:02,560 Speaker 1: What literature offers us isn't just entertainment. It's a rehearsal 799 00:46:02,640 --> 00:46:08,160 Speaker 1: space for empathy, for introspection, for humility. It teaches us 800 00:46:08,680 --> 00:46:11,640 Speaker 1: that our first instincts can be wrong, that people are 801 00:46:11,719 --> 00:46:15,799 Speaker 1: more complicated than they seem, that the world sometimes resists 802 00:46:15,960 --> 00:46:20,520 Speaker 1: tidy packaging, and the active reading becomes a kind of 803 00:46:21,120 --> 00:46:26,480 Speaker 1: cognitive calisthenics, one that exercises the mental muscles we need 804 00:46:27,160 --> 00:46:33,240 Speaker 1: in a complex, unpredictable society. We need curiosity and perspective taking, 805 00:46:33,560 --> 00:46:38,399 Speaker 1: and nuance and self doubt. So writers, most of whom 806 00:46:38,480 --> 00:46:43,560 Speaker 1: presumably had no training in neuroscience, have for millennia intuited 807 00:46:44,239 --> 00:46:47,880 Speaker 1: how to guide our attention, how to play on our biases, 808 00:46:47,960 --> 00:46:51,600 Speaker 1: how to surprise and disarm us, how to steer us 809 00:46:51,680 --> 00:46:55,279 Speaker 1: down garden paths, and how to leave us saying, oh, 810 00:46:55,360 --> 00:46:57,000 Speaker 1: my god, of course that's what happened. 811 00:46:57,440 --> 00:46:59,200 Speaker 2: These aren't just parlor tricks. 812 00:46:59,520 --> 00:47:03,080 Speaker 1: These are acts of generosity, because what they offer us 813 00:47:03,280 --> 00:47:08,360 Speaker 1: is the chance to rewire ourselves to become slightly different, 814 00:47:08,480 --> 00:47:13,520 Speaker 1: slightly better versions of who we were before we picked 815 00:47:13,600 --> 00:47:16,920 Speaker 1: up the book. And that's why we might worry just 816 00:47:17,000 --> 00:47:21,280 Speaker 1: a little about the declining time that many people, especially 817 00:47:21,360 --> 00:47:25,600 Speaker 1: young people, are spending in the deep space of novels. 818 00:47:25,920 --> 00:47:29,239 Speaker 1: This is not because video games or tiktoks or youtubes 819 00:47:29,360 --> 00:47:33,880 Speaker 1: are inherently bad, but because they rarely offer the same 820 00:47:34,480 --> 00:47:39,200 Speaker 1: rigor of cognitive training. These short form things aren't generally 821 00:47:39,400 --> 00:47:45,440 Speaker 1: built to cultivate ambiguity or to stretch empathy across chapters 822 00:47:45,560 --> 00:47:48,200 Speaker 1: or lifetimes. Some might do it once in a while, 823 00:47:48,280 --> 00:47:51,800 Speaker 1: but novels specialize in it. So let's make sure we 824 00:47:51,880 --> 00:47:57,200 Speaker 1: don't lose the habit. Let's remember the strange human superpower 825 00:47:57,280 --> 00:48:01,560 Speaker 1: that we've developed to sit still, to decode squiggles on 826 00:48:01,640 --> 00:48:05,879 Speaker 1: a page, and to be emotionally transformed by people who 827 00:48:05,960 --> 00:48:10,800 Speaker 1: never existed. Let's honor the decades long effort that a 828 00:48:10,920 --> 00:48:16,200 Speaker 1: great author might spend to gift us with one transcendent moment. 829 00:48:16,840 --> 00:48:21,520 Speaker 1: And let's recognize that reading literature isn't passive consumption. 830 00:48:21,680 --> 00:48:27,440 Speaker 2: It's active simulation. It's mental travel in time and space. 831 00:48:28,239 --> 00:48:32,360 Speaker 1: It's the brain doing what it does best, building models 832 00:48:32,400 --> 00:48:37,000 Speaker 1: of the world, running them forward, learning, updating, and every 833 00:48:37,080 --> 00:48:41,239 Speaker 1: once in a while feeling awe. So the next time 834 00:48:41,760 --> 00:48:44,560 Speaker 1: use it down with a good novel, know this, you're 835 00:48:44,640 --> 00:48:49,520 Speaker 1: not wasting time. You're going to the cognitive gym to 836 00:48:49,640 --> 00:48:58,760 Speaker 1: become a stronger human. Go to Eagleman dot com slash 837 00:48:58,880 --> 00:49:02,600 Speaker 1: podcast for more and and to find further reading. Check 838 00:49:02,640 --> 00:49:04,840 Speaker 1: out my newsletter on substack and be a part of 839 00:49:04,880 --> 00:49:07,840 Speaker 1: the online chats there and you can watch videos of 840 00:49:07,880 --> 00:49:10,880 Speaker 1: Inner Cosmos on YouTube, or you can leave comments. 841 00:49:13,200 --> 00:49:17,200 Speaker 2: Until next time. I'm David Eagleman and this is Inner Cosmos.