1 00:00:02,240 --> 00:00:06,240 Speaker 1: Thanks for listening to the show. There's a high chance 2 00:00:06,280 --> 00:00:08,240 Speaker 1: that at some point in your life you have looked 3 00:00:08,320 --> 00:00:12,480 Speaker 1: up at a cloud and thought, oh, a horse, Oh, 4 00:00:12,600 --> 00:00:18,919 Speaker 1: oh a butterfly. Oh it's Luigi from Mario Kart. I 5 00:00:18,960 --> 00:00:21,480 Speaker 1: saw my son Wolfgang do it for the first time today, 6 00:00:22,800 --> 00:00:25,360 Speaker 1: and me being me, my brain, being my brain, I 7 00:00:25,400 --> 00:00:29,240 Speaker 1: started to wonder, is there a connection with what I've 8 00:00:29,240 --> 00:00:31,760 Speaker 1: seen wolf you just do with seeing shapes and clouds, 9 00:00:32,159 --> 00:00:35,159 Speaker 1: and why it can be so intensely difficult to be 10 00:00:35,240 --> 00:00:39,000 Speaker 1: around a loved one with dementia. So I started doing 11 00:00:39,040 --> 00:00:42,279 Speaker 1: some reading and look, I might not be right, but 12 00:00:42,360 --> 00:00:46,120 Speaker 1: being curious about this question has helped me a lot today, 13 00:00:47,440 --> 00:00:50,000 Speaker 1: and I hope it helps you too. We'll get stuck 14 00:00:50,000 --> 00:00:58,040 Speaker 1: into it right after the brain A Welcome to the show. 15 00:00:58,080 --> 00:01:01,560 Speaker 1: This is better than Yesterday. Every weeks in twenty thirteen, 16 00:01:01,920 --> 00:01:04,160 Speaker 1: I promise that you'll hear something that will make today 17 00:01:04,200 --> 00:01:06,759 Speaker 1: better than yesterday. Does what it says on the box, 18 00:01:06,840 --> 00:01:08,640 Speaker 1: and I'm grateful I can be with you here today. 19 00:01:08,640 --> 00:01:10,360 Speaker 1: Mon Namesosh she Ginsburg. Thanks for being a part of 20 00:01:10,400 --> 00:01:12,480 Speaker 1: the show. Thanks to the crew who came out to 21 00:01:12,520 --> 00:01:15,240 Speaker 1: story Club this weekend. Next show is on sale right now. 22 00:01:15,760 --> 00:01:17,520 Speaker 1: And that's what I reckon is going to be in 23 00:01:17,560 --> 00:01:20,720 Speaker 1: the show in May. It's a Sydney Comedy Festival special show. 24 00:01:21,160 --> 00:01:23,399 Speaker 1: It's going to be a doozy tickets in the show notes, 25 00:01:23,400 --> 00:01:30,160 Speaker 1: So get among that. So clouds, yeah, clouds. Let's walk 26 00:01:30,200 --> 00:01:32,760 Speaker 1: back a bit. My wife, Audrey, she has quite the 27 00:01:32,760 --> 00:01:35,720 Speaker 1: green thumb through her. I have come to see the 28 00:01:35,760 --> 00:01:38,240 Speaker 1: green things around me is more than just trees and 29 00:01:38,319 --> 00:01:42,040 Speaker 1: bushes and flowers. I now see eucalypse and Mella lucaus, 30 00:01:42,160 --> 00:01:46,000 Speaker 1: monsters and hydrangeas. We have these beautiful garden beds at 31 00:01:46,000 --> 00:01:48,560 Speaker 1: our place, which provides with an abundance of things that 32 00:01:48,600 --> 00:01:50,600 Speaker 1: we eat through the year. We have a house full 33 00:01:50,680 --> 00:01:54,160 Speaker 1: of delightfully large leafed plants which trail all over the place. 34 00:01:54,240 --> 00:01:57,720 Speaker 1: She propagates them and hybridizes them. I really like it. 35 00:01:57,720 --> 00:02:00,680 Speaker 1: It's really nice. And so today was kind of like 36 00:02:00,720 --> 00:02:03,920 Speaker 1: the big day out of plants. We hoofed it out 37 00:02:03,920 --> 00:02:05,960 Speaker 1: of the house out to the foot of the Blue Mountains. 38 00:02:05,960 --> 00:02:08,280 Speaker 1: If you're not from Sydney, I grew up in Brisbane, 39 00:02:08,280 --> 00:02:10,840 Speaker 1: so look it's a while away to the I think 40 00:02:10,840 --> 00:02:13,359 Speaker 1: it's called like the Plant Collectors Fair or something like that. 41 00:02:13,440 --> 00:02:17,240 Speaker 1: Two hundred or so small scale nursery selling juvenile versions 42 00:02:17,280 --> 00:02:21,080 Speaker 1: of some of the most wonderfully and rare marvelous plants 43 00:02:21,160 --> 00:02:24,919 Speaker 1: around it, including some extraordinarily delightful native plants. Now from 44 00:02:24,960 --> 00:02:27,640 Speaker 1: our house or we live out by the ocean, to 45 00:02:27,880 --> 00:02:31,520 Speaker 1: Penrith is a little over an hour's drive at one 46 00:02:31,600 --> 00:02:35,280 Speaker 1: hundred and something ks an hour, or approximately twenty six 47 00:02:35,360 --> 00:02:40,440 Speaker 1: Are we there, yets? Because Wolfgang and both dogs joined 48 00:02:40,480 --> 00:02:44,520 Speaker 1: us for the adventure. Now sometime between are we there yet? 49 00:02:44,600 --> 00:02:47,639 Speaker 1: Number thirteen? And are we there yet? Number fourteen? Right 50 00:02:47,680 --> 00:02:51,680 Speaker 1: around when the iPad battery ran out, Wolfe went quiet, 51 00:02:52,680 --> 00:02:56,240 Speaker 1: so I sneakily checked the rear vision mirror. He's not 52 00:02:56,280 --> 00:02:58,360 Speaker 1: a slave, but he's staring out of the window and 53 00:02:58,400 --> 00:03:02,720 Speaker 1: staring up at the sky. He's just staring, And after 54 00:03:02,760 --> 00:03:10,920 Speaker 1: a few minutes he says, hammer. What's that, mate? You 55 00:03:10,960 --> 00:03:15,560 Speaker 1: can see a hammer in the sky. Yeah. I lean 56 00:03:15,600 --> 00:03:17,560 Speaker 1: forward over the wheel and I look up, and sure 57 00:03:17,639 --> 00:03:20,560 Speaker 1: enough I can see this lumpy cumulus cloud that look 58 00:03:20,680 --> 00:03:23,720 Speaker 1: like it's big. And I can absolutely understand that he 59 00:03:23,800 --> 00:03:27,760 Speaker 1: can recognize a hammer in that shape. Isn't that interesting? 60 00:03:29,240 --> 00:03:31,840 Speaker 1: We both know it's a cloud, but our brain is 61 00:03:31,880 --> 00:03:34,000 Speaker 1: so good at recognizing pattern as the first thing we 62 00:03:34,040 --> 00:03:41,200 Speaker 1: think about is a hammer. About another minute goes by bunny, 63 00:03:41,480 --> 00:03:44,560 Speaker 1: and on we went about twelve Are we there? Yets 64 00:03:44,600 --> 00:03:46,480 Speaker 1: later we get to the horse racing track ap by 65 00:03:46,560 --> 00:03:49,480 Speaker 1: Panthers Stadium. We get about our mission to secure a 66 00:03:49,480 --> 00:03:51,800 Speaker 1: decent banks here and a flowering gum. And as we 67 00:03:52,160 --> 00:03:54,880 Speaker 1: wandered between the booths of the climbing as the climbers 68 00:03:54,880 --> 00:03:57,360 Speaker 1: and the fruit trees and stuff, I was thinking about 69 00:03:57,400 --> 00:04:00,160 Speaker 1: what he had discovered today as a word for when 70 00:04:00,160 --> 00:04:04,920 Speaker 1: our brain does that, It's called apophenia. It's when your 71 00:04:04,960 --> 00:04:09,240 Speaker 1: brain sees patterns that aren't really there. When we correctly 72 00:04:09,520 --> 00:04:14,920 Speaker 1: identifying something by only being aware of a sliver of it, well, 73 00:04:14,920 --> 00:04:18,440 Speaker 1: that's called pattern recognition. And it's a very very important thing. 74 00:04:18,680 --> 00:04:21,600 Speaker 1: It's a it's a survival mechanism that's allowed us to 75 00:04:21,640 --> 00:04:24,400 Speaker 1: be who we are. It's really important pattern recognition. It's 76 00:04:24,440 --> 00:04:27,640 Speaker 1: how we can recognize words, understand the shapes that another 77 00:04:27,680 --> 00:04:31,560 Speaker 1: person makes in their face regulating to their emotional state. 78 00:04:31,640 --> 00:04:35,520 Speaker 1: It helps us solve puzzles identifying and reacting to patterns. 79 00:04:35,520 --> 00:04:38,159 Speaker 1: It's pretty much what our brains do better than anything else. 80 00:04:38,200 --> 00:04:41,880 Speaker 1: To the point when we're making choices that we aren't 81 00:04:41,880 --> 00:04:45,120 Speaker 1: even aware of, because we can correctly most of the time, 82 00:04:45,200 --> 00:04:49,520 Speaker 1: predict what's going to happen next, so often that our 83 00:04:49,600 --> 00:04:53,640 Speaker 1: response becomes somewhat automatic. When I first went out of 84 00:04:53,640 --> 00:04:56,560 Speaker 1: a motorbike, I was shit scared. I was on edge. 85 00:04:56,560 --> 00:04:58,320 Speaker 1: I've got my learners when my wife was pregnant, for 86 00:04:58,360 --> 00:05:03,760 Speaker 1: God's sake, head on swivel, hyper alert. Whereas this week 87 00:05:04,400 --> 00:05:06,520 Speaker 1: I was coming back over the Anzac Bridge in Sydney 88 00:05:06,520 --> 00:05:09,799 Speaker 1: in peak hour, I got Fu Manchu blasting in the headphones, 89 00:05:09,800 --> 00:05:12,039 Speaker 1: which is a lot of fun. Two cars up on 90 00:05:12,080 --> 00:05:14,280 Speaker 1: the right, I guess I must have noticed something in 91 00:05:14,320 --> 00:05:16,840 Speaker 1: the black hatchback, something about how close it was to 92 00:05:16,839 --> 00:05:18,440 Speaker 1: the car in front, or how it wabbled in the 93 00:05:18,480 --> 00:05:22,440 Speaker 1: lane just a little bit. I just started to accelerate immediately, 94 00:05:22,560 --> 00:05:25,480 Speaker 1: and sure enough, the hatchback pulls into my lane without indicating, 95 00:05:25,560 --> 00:05:28,400 Speaker 1: without looking for me. Wouldn't have hit me, but it 96 00:05:28,440 --> 00:05:31,200 Speaker 1: would not have been fun in that traffic. It was 97 00:05:31,240 --> 00:05:33,080 Speaker 1: only really once he was in front of me that 98 00:05:33,160 --> 00:05:36,360 Speaker 1: I realized what I'd done, That I'd identified a potential 99 00:05:36,400 --> 00:05:38,920 Speaker 1: threat based on subtle cues from thousands of hours of 100 00:05:39,000 --> 00:05:42,880 Speaker 1: riding by now gone into a preemptive protective mode and 101 00:05:43,000 --> 00:05:46,880 Speaker 1: only really become fully aware of this when I'm now 102 00:05:46,920 --> 00:05:48,920 Speaker 1: doing about forty five to put a couple of car 103 00:05:48,960 --> 00:05:50,680 Speaker 1: links between me and him in front of me, all 104 00:05:50,720 --> 00:05:52,880 Speaker 1: while singing along to King of the Road by Fu Manchu. 105 00:05:53,839 --> 00:05:56,919 Speaker 1: Our brains ability to identify a thing or a situation 106 00:05:57,120 --> 00:06:00,000 Speaker 1: based on seeing or experiencing only a fraction of it 107 00:05:59,760 --> 00:06:04,080 Speaker 1: is one of our superpowers. And as a group, our 108 00:06:04,120 --> 00:06:09,280 Speaker 1: pattern recognition traits are these incredibly and super important survival mechanisms. 109 00:06:09,279 --> 00:06:12,240 Speaker 1: So they're wide into the survival instincts, the fight or 110 00:06:12,240 --> 00:06:15,960 Speaker 1: flight stuff, so they're always looking out for something and 111 00:06:15,960 --> 00:06:18,719 Speaker 1: because of that, they can actually have, you know, false alarms. 112 00:06:19,160 --> 00:06:22,160 Speaker 1: And it's important that they're that highly wired because it's 113 00:06:22,160 --> 00:06:24,440 Speaker 1: better to jump at a shadow rather than being eaten 114 00:06:24,520 --> 00:06:28,200 Speaker 1: by a big, hungry quadruped hiding behind a rock. And 115 00:06:28,240 --> 00:06:30,920 Speaker 1: when they're wrong, when those pattern recognitions got wrong, it's cool. 116 00:06:31,040 --> 00:06:34,239 Speaker 1: As I mentioned Apathenium, when your brain se these patterns 117 00:06:34,279 --> 00:06:37,200 Speaker 1: that aren't really there, it doesn't care that it shows 118 00:06:37,279 --> 00:06:39,960 Speaker 1: up with false information. It's looking for the fastest path 119 00:06:40,000 --> 00:06:43,359 Speaker 1: to simplicity and closure. When we don't know what's going on, 120 00:06:43,400 --> 00:06:46,200 Speaker 1: we don't feel good. But even if it's the wrong thing, 121 00:06:46,720 --> 00:06:48,640 Speaker 1: if we've got an answer, we feel a little bit better. 122 00:06:49,320 --> 00:06:51,839 Speaker 1: And there's a bunch of different kinds of apathenia. The 123 00:06:51,880 --> 00:06:53,960 Speaker 1: one where we see the shape in the clouds, that's 124 00:06:54,000 --> 00:06:59,120 Speaker 1: called paradolia. It's part of the facial recognition instinct. Sometimes 125 00:06:59,120 --> 00:07:01,160 Speaker 1: we'll see eyes the mouth, for exply in the front 126 00:07:01,200 --> 00:07:03,800 Speaker 1: of a Masdams five, or people have seen Jesus in 127 00:07:03,839 --> 00:07:06,680 Speaker 1: a piece of toast. There's another one called which is 128 00:07:06,680 --> 00:07:10,480 Speaker 1: the fun would just say the gestalt perception. That's the 129 00:07:10,520 --> 00:07:12,680 Speaker 1: whole I can put a much bigger picture together from 130 00:07:12,720 --> 00:07:15,760 Speaker 1: missing information. So it's how you can see ls k 131 00:07:16,000 --> 00:07:19,360 Speaker 1: D and go, oh, that's the fashion label loose kid, 132 00:07:19,640 --> 00:07:22,640 Speaker 1: all right. That's why brand names can pull vowels out 133 00:07:22,680 --> 00:07:24,840 Speaker 1: and it doesn't matter there it is, you know, then 134 00:07:25,320 --> 00:07:28,080 Speaker 1: that's a loose kid right there. Another version of the 135 00:07:28,120 --> 00:07:30,360 Speaker 1: gestalt perception is looking up at the Southern Cross and 136 00:07:30,360 --> 00:07:33,680 Speaker 1: seeing this flat shape in the sky, when the reality 137 00:07:33,760 --> 00:07:36,520 Speaker 1: is that the distance between the closest of those four 138 00:07:36,560 --> 00:07:39,800 Speaker 1: stars and the furthest of those four stars is two 139 00:07:39,800 --> 00:07:43,600 Speaker 1: point five quadrillion kilometers. There's fifteen zeros. If you're counting, 140 00:07:44,160 --> 00:07:46,200 Speaker 1: but we look up at it and go, oh, that's flat. 141 00:07:46,520 --> 00:07:49,000 Speaker 1: Another one, and I distinctly remember this as a kig 142 00:07:49,160 --> 00:07:51,360 Speaker 1: is my mum. We you know, Dad moved that when 143 00:07:51,560 --> 00:07:54,240 Speaker 1: I was young, and so Mum raised us, all four 144 00:07:54,280 --> 00:07:56,920 Speaker 1: of us, from when I was about eleven, and she 145 00:07:57,040 --> 00:08:00,240 Speaker 1: worked seven days a week sometimes, so we were in 146 00:08:00,280 --> 00:08:02,840 Speaker 1: the evening by ourselves quite a bit. Sometimes I'll be 147 00:08:02,840 --> 00:08:05,600 Speaker 1: there by myself and if I heard a creek in 148 00:08:05,640 --> 00:08:08,800 Speaker 1: the house, immediately I think it's somebody there. That is 149 00:08:08,840 --> 00:08:13,400 Speaker 1: called hyperactive agency detection. We're trying to attribute an intention 150 00:08:13,840 --> 00:08:18,360 Speaker 1: an agency to completely unrelated things or objects or events. 151 00:08:19,240 --> 00:08:21,360 Speaker 1: For example, oh my computer hates me. If you're getting 152 00:08:21,360 --> 00:08:22,960 Speaker 1: the spinny beach ball or the blue screen, Oh my 153 00:08:23,000 --> 00:08:25,640 Speaker 1: computer hates me. Like there's no agency in the computer. 154 00:08:25,680 --> 00:08:27,240 Speaker 1: It's just some ones and zero is not working, but 155 00:08:27,400 --> 00:08:30,520 Speaker 1: you're giving it a reason to not like it. It's 156 00:08:30,520 --> 00:08:33,160 Speaker 1: not there. You may have heard people going, oh, the 157 00:08:33,200 --> 00:08:36,640 Speaker 1: earthquake happened because we allowed gays in the military. That's 158 00:08:36,679 --> 00:08:41,640 Speaker 1: why the earthquake happened. No. The other one that's interesting 159 00:08:41,720 --> 00:08:45,200 Speaker 1: is the illusory pattern perception. Because if there's one thing 160 00:08:45,240 --> 00:08:47,480 Speaker 1: our brain wants to want, anything else is that it 161 00:08:47,520 --> 00:08:50,320 Speaker 1: wants to find a story even when no story exists. 162 00:08:51,440 --> 00:08:53,800 Speaker 1: I use Wolfgang as an example again. The other day, 163 00:08:54,280 --> 00:08:55,959 Speaker 1: we were playing Snakes and Ladders for the first time. 164 00:08:55,960 --> 00:08:59,160 Speaker 1: It was really fun and we were playing. I guess 165 00:08:59,160 --> 00:09:01,160 Speaker 1: we're playing Queensland. So if you roll a six, you 166 00:09:01,160 --> 00:09:05,040 Speaker 1: get another go. The kid rolls three six's in a row, 167 00:09:05,480 --> 00:09:09,480 Speaker 1: all right, it was awesome. Now, if the illusory pattern 168 00:09:09,520 --> 00:09:12,120 Speaker 1: perception was kicking in, I might think, oh, my god, 169 00:09:12,200 --> 00:09:15,559 Speaker 1: Wolfgang always rolls the six, or to get it weirder, 170 00:09:15,600 --> 00:09:18,080 Speaker 1: if I was crossing my fingers when he rolled the six. 171 00:09:18,640 --> 00:09:21,640 Speaker 1: Every time I cross my fingers he rolls a six. Magic, 172 00:09:21,800 --> 00:09:25,320 Speaker 1: I am magic. Magic is happening in this room. But 173 00:09:25,400 --> 00:09:27,320 Speaker 1: the fact is there is a one in two hundred 174 00:09:27,360 --> 00:09:29,120 Speaker 1: and sixteen chance he's going to roll the six three 175 00:09:29,120 --> 00:09:31,640 Speaker 1: times in a row. Those are pretty good odds because 176 00:09:31,640 --> 00:09:34,840 Speaker 1: we're warning so much to make everything mean something. My 177 00:09:34,960 --> 00:09:38,000 Speaker 1: finger crossing is absolutely the reason, not just the quite 178 00:09:38,120 --> 00:09:40,520 Speaker 1: high statistical probability that you can roll three sixes in 179 00:09:40,520 --> 00:09:44,760 Speaker 1: a row. It just feels right. There was agency involved. 180 00:09:44,880 --> 00:09:47,880 Speaker 1: I had something to do with it. And the illusory 181 00:09:47,920 --> 00:09:50,720 Speaker 1: pattern perception is the one that has people slip down 182 00:09:50,800 --> 00:09:53,600 Speaker 1: rabbit holes of conspiracy theories and SHD. It's important to 183 00:09:53,600 --> 00:09:58,240 Speaker 1: know that exists and sometimes statistical anomalies can't look like 184 00:09:58,360 --> 00:10:02,360 Speaker 1: prayers being answered. But a statistical anomaly won't charge you 185 00:10:02,360 --> 00:10:05,000 Speaker 1: with tithing or excommunicate you for allowing your wife to 186 00:10:05,000 --> 00:10:08,720 Speaker 1: make decisions about her own career. This one particularly is 187 00:10:08,760 --> 00:10:11,120 Speaker 1: not helped when you factor in on top of our 188 00:10:11,160 --> 00:10:14,320 Speaker 1: own confirmation bias. But what does any of this have 189 00:10:14,400 --> 00:10:18,200 Speaker 1: to do with being around a loved one with dementia? Right, 190 00:10:19,000 --> 00:10:27,360 Speaker 1: I'll get to that after the break. Thank you so 191 00:10:27,440 --> 00:10:30,560 Speaker 1: much for listening to the show today. While Wolfe was 192 00:10:30,720 --> 00:10:33,480 Speaker 1: finding rabbits by looking up into the clouds, I got 193 00:10:33,520 --> 00:10:36,439 Speaker 1: to thinking about how our brains are quite interesting, and 194 00:10:36,520 --> 00:10:39,880 Speaker 1: how they like to make simple to understand stories out 195 00:10:39,920 --> 00:10:43,960 Speaker 1: of sometimes completely unrelated and incomplete information, just to give 196 00:10:44,040 --> 00:10:47,480 Speaker 1: us a bit of relief from the discomfort of being 197 00:10:47,559 --> 00:10:50,840 Speaker 1: uncertain or the discomfort of accepting a reality we don't like. 198 00:10:51,960 --> 00:10:53,760 Speaker 1: And I was wondering if that had anything to do 199 00:10:53,800 --> 00:10:56,080 Speaker 1: with how difficult it can be to be around someone 200 00:10:56,200 --> 00:11:00,320 Speaker 1: that you love who's suffering from dementia. If you're going 201 00:11:00,360 --> 00:11:02,640 Speaker 1: through that or you've been through that, you know, it's 202 00:11:02,720 --> 00:11:06,560 Speaker 1: enormously difficult, and the stuff that I've been talking about, 203 00:11:06,960 --> 00:11:09,600 Speaker 1: after what I've been reading today, it can indeed play 204 00:11:09,679 --> 00:11:12,160 Speaker 1: a role in the times when people that I have 205 00:11:12,240 --> 00:11:15,960 Speaker 1: cared about and people that I've known have suffered from dementia. 206 00:11:16,080 --> 00:11:20,720 Speaker 1: It's really really hard because when we spend time with them, 207 00:11:21,760 --> 00:11:24,640 Speaker 1: our brain sees this person is very clearly and well, 208 00:11:24,679 --> 00:11:27,679 Speaker 1: this person we know very very well, quite intimately. This 209 00:11:27,720 --> 00:11:31,680 Speaker 1: person probably can't walk anymore, probably can't feed themselves. And 210 00:11:31,800 --> 00:11:35,839 Speaker 1: yet we are flat out trying to match the person 211 00:11:35,880 --> 00:11:38,120 Speaker 1: we see in front of us with this rich detailed 212 00:11:38,160 --> 00:11:41,840 Speaker 1: mental model of the person that we have known, sometimes 213 00:11:41,840 --> 00:11:47,000 Speaker 1: over a lifetime. So when tiny little fragments slivers of 214 00:11:47,120 --> 00:11:51,000 Speaker 1: familiar behavior that we recognize show up, the way they 215 00:11:51,080 --> 00:11:53,640 Speaker 1: brush their hair from their face, a particular kind of smile, 216 00:11:54,960 --> 00:11:56,800 Speaker 1: the sound of a half a chuckle that you recall, 217 00:11:57,400 --> 00:12:00,199 Speaker 1: our brain tries to fill in the missing piece, is 218 00:12:00,240 --> 00:12:03,680 Speaker 1: to create the whole that we are familiar with, to 219 00:12:03,720 --> 00:12:06,920 Speaker 1: make us ah, I am here that they are. And 220 00:12:06,960 --> 00:12:09,320 Speaker 1: this is also happening while we're searching for signs of 221 00:12:10,040 --> 00:12:13,240 Speaker 1: that agency that I was talking about. The agency behind 222 00:12:13,320 --> 00:12:16,280 Speaker 1: the expression is the person with the specific thoughts, the 223 00:12:16,360 --> 00:12:19,400 Speaker 1: memories that the personality that you've known for a long time, 224 00:12:19,440 --> 00:12:22,360 Speaker 1: sometimes your whole life, and when glimpses of that show up, 225 00:12:22,559 --> 00:12:25,959 Speaker 1: something that you relate with agency appears, even for half 226 00:12:26,000 --> 00:12:28,520 Speaker 1: a second, really powerful. You're going to have that oh 227 00:12:28,559 --> 00:12:32,880 Speaker 1: my god, they're back, just for a moment. And if 228 00:12:32,880 --> 00:12:35,240 Speaker 1: it's someone in your family, for example, a parent or 229 00:12:35,240 --> 00:12:38,640 Speaker 1: a grandparent, well we've got these kind of emotional templates 230 00:12:38,640 --> 00:12:42,679 Speaker 1: that we have for loved ones. In my experience, I've 231 00:12:42,720 --> 00:12:47,200 Speaker 1: had just fragments of their pre dementia self flash past 232 00:12:47,840 --> 00:12:51,520 Speaker 1: and felt that really powerful emotional recognition of oh, there 233 00:12:51,559 --> 00:12:57,000 Speaker 1: they are, but they often aren't at all there. So 234 00:12:57,080 --> 00:13:01,480 Speaker 1: when the blank face comes back, it's snapped back into 235 00:13:01,480 --> 00:13:05,640 Speaker 1: that sadness that we're actually in. And it's really hard 236 00:13:05,679 --> 00:13:09,560 Speaker 1: because our pattern recognition is working so hard because there's 237 00:13:09,600 --> 00:13:13,400 Speaker 1: this physical presence, the biggest pattern recognition that is there. 238 00:13:13,440 --> 00:13:17,800 Speaker 1: They're there, but it's psychologically. They're very different psychologically, sometimes 239 00:13:17,800 --> 00:13:22,520 Speaker 1: completely absent psychologically, and so while our recognition systems are 240 00:13:22,600 --> 00:13:25,760 Speaker 1: firing at full speed, trying everything they can to find 241 00:13:25,800 --> 00:13:28,079 Speaker 1: a story where everything's okay and everything that makes sense, 242 00:13:29,240 --> 00:13:31,520 Speaker 1: just as we settle on that feeling of oh, there 243 00:13:31,559 --> 00:13:36,000 Speaker 1: they are, Ah, that's them. There's immediate and incontrovertible evidence 244 00:13:36,040 --> 00:13:39,120 Speaker 1: that know there they aren't, and it just can go 245 00:13:39,200 --> 00:13:42,920 Speaker 1: in a cycle that's incredibly challenging. When you are spending 246 00:13:42,920 --> 00:13:49,240 Speaker 1: time with them. We don't imagine the pieces of Granddad, 247 00:13:49,240 --> 00:13:51,760 Speaker 1: for example, we don't imagine those little bits that we see. 248 00:13:51,800 --> 00:13:54,880 Speaker 1: They are real, those bits are there. But then when 249 00:13:54,880 --> 00:13:57,560 Speaker 1: our brain goes ah granddad mode, we get this drop 250 00:13:57,600 --> 00:14:00,360 Speaker 1: down menu of feelings and responses and memories that open 251 00:14:00,440 --> 00:14:02,360 Speaker 1: up in our brain as responses, you know, to deal 252 00:14:02,400 --> 00:14:05,640 Speaker 1: with when it recognizes the Grandad's here. But none of 253 00:14:05,679 --> 00:14:08,360 Speaker 1: those apply. None of those apply. We don't get that 254 00:14:08,400 --> 00:14:10,520 Speaker 1: feeling of this is the person that taught me how 255 00:14:10,559 --> 00:14:13,199 Speaker 1: to fish, or taught me about who the Bristol Broncos 256 00:14:13,200 --> 00:14:17,800 Speaker 1: were or whatever. It's really really hard. I don't have 257 00:14:17,840 --> 00:14:23,040 Speaker 1: any answers here, But reading what I read this afternoon, 258 00:14:23,720 --> 00:14:26,520 Speaker 1: I know, if anything, that just noticing what's going on, 259 00:14:26,600 --> 00:14:29,920 Speaker 1: having names for those things. It makes moments like that, 260 00:14:30,280 --> 00:14:32,720 Speaker 1: like when you're spending time with someone that you love 261 00:14:32,760 --> 00:14:37,280 Speaker 1: who has dementia, a lot easier to deal with. I've 262 00:14:37,320 --> 00:14:40,080 Speaker 1: still had to write out the icky feelings that the sadness, 263 00:14:40,120 --> 00:14:44,240 Speaker 1: the last, the grief. But it's really useful to know 264 00:14:44,280 --> 00:14:46,400 Speaker 1: about the different ways that our minds can mess with 265 00:14:46,520 --> 00:14:50,280 Speaker 1: us in an effort just to make us feel like 266 00:14:50,320 --> 00:14:52,600 Speaker 1: everything makes sense. You know, our brains are trying to 267 00:14:52,600 --> 00:14:55,200 Speaker 1: do the right thing, but it can really mess up. 268 00:14:55,680 --> 00:14:59,680 Speaker 1: But if we're aware of it, well, then hopefully when 269 00:15:00,160 --> 00:15:02,240 Speaker 1: we're kind of a little more centered, we can make 270 00:15:02,280 --> 00:15:05,800 Speaker 1: better choices. I will tell you where I'm going to start, 271 00:15:06,080 --> 00:15:07,800 Speaker 1: all right, because I don't have any answers here, but 272 00:15:08,040 --> 00:15:11,760 Speaker 1: I'm going to start here, and it would be trying 273 00:15:11,760 --> 00:15:14,680 Speaker 1: to remember that calm wonder that I heard in Wolfe's 274 00:15:14,760 --> 00:15:17,720 Speaker 1: voice when he said hammer as we're going one hundred 275 00:15:17,720 --> 00:15:21,080 Speaker 1: and ten down the m for today, his brain told 276 00:15:21,160 --> 00:15:24,800 Speaker 1: him there is a hammer in the sky, but he 277 00:15:24,880 --> 00:15:26,760 Speaker 1: was aware that there was not, in fact a hammer 278 00:15:26,840 --> 00:15:29,320 Speaker 1: in the sky, and just observed how interesting it was 279 00:15:29,360 --> 00:15:32,320 Speaker 1: that he saw a hammer up there, because if he'd 280 00:15:32,360 --> 00:15:36,120 Speaker 1: believed it, having seen the cloud myself, that would mean 281 00:15:36,400 --> 00:15:37,880 Speaker 1: there would have been a hammer the size of a 282 00:15:37,960 --> 00:15:41,880 Speaker 1: fucking aircraft carrier six hundred meters above us. And I 283 00:15:42,000 --> 00:15:45,000 Speaker 1: don't think anybody on that highway would have had any 284 00:15:45,040 --> 00:15:48,120 Speaker 1: calm wonder anywhere near them and would have been terrifying. 285 00:15:49,560 --> 00:15:51,600 Speaker 1: So I'm just going to try to do my best 286 00:15:51,640 --> 00:15:55,680 Speaker 1: to notice when those pattern recognitions are throwing up stories 287 00:15:55,800 --> 00:15:58,640 Speaker 1: or answers that are causing me trouble, and just try 288 00:15:58,640 --> 00:16:02,880 Speaker 1: to find the that calm wonder of a five year 289 00:16:02,920 --> 00:16:08,520 Speaker 1: old in between asking if we're there yet. Thank you 290 00:16:08,640 --> 00:16:11,640 Speaker 1: very much to Adam Buncher, who helped me produce this episode. 291 00:16:11,960 --> 00:16:14,600 Speaker 1: I'll be back here on Wednesday. Let me know what 292 00:16:14,680 --> 00:16:18,240 Speaker 1: you saw of the show. You can shoot us an email, 293 00:16:18,320 --> 00:16:20,600 Speaker 1: send us your email at gmail dot com, or find 294 00:16:20,640 --> 00:16:25,600 Speaker 1: us on the substack. See you Wednesday,