1 00:00:03,160 --> 00:00:06,040 Speaker 1: Welcome to Stuff to Blow your Mind from how Stuff 2 00:00:06,040 --> 00:00:13,440 Speaker 1: Works dot com. Hey you wasn't the stuff to Blow 3 00:00:13,480 --> 00:00:16,560 Speaker 1: your mind. My name is Robert Lamb and I'm Julie Douglas. Julie. 4 00:00:16,600 --> 00:00:19,840 Speaker 1: We live in a remarkable age, don't we. We certainly do. 5 00:00:20,040 --> 00:00:25,599 Speaker 1: We certainly do. We have um airplanes, true submarines, we 6 00:00:25,720 --> 00:00:29,680 Speaker 1: have satellites in orbit, and we have these amazing little 7 00:00:29,720 --> 00:00:33,040 Speaker 1: devices that we wear on our person at all times 8 00:00:33,080 --> 00:00:38,159 Speaker 1: that often feel like, uh, an extension of ourselves, and 9 00:00:38,240 --> 00:00:41,040 Speaker 1: we turn to them when we need to connect with somebody, 10 00:00:41,280 --> 00:00:44,479 Speaker 1: when we need to take a photograph of something happening 11 00:00:44,479 --> 00:00:46,840 Speaker 1: in our daily life, if we need to fact check something, 12 00:00:47,400 --> 00:00:51,199 Speaker 1: be it you know who starred in Beast Master? Or 13 00:00:51,760 --> 00:00:53,479 Speaker 1: I wonder what the name of this friend of a 14 00:00:53,520 --> 00:00:55,480 Speaker 1: friend is. What do you do you on Facebook and 15 00:00:55,480 --> 00:00:58,720 Speaker 1: you look for it, or you just need like simple um, 16 00:00:58,760 --> 00:01:02,480 Speaker 1: you know, conversions of figures or simple mathematics. What do 17 00:01:02,520 --> 00:01:05,119 Speaker 1: you do? You go fleeing to your your smart device? 18 00:01:06,160 --> 00:01:09,000 Speaker 1: Oh oh yes, yes, yes, well it is it is 19 00:01:09,280 --> 00:01:12,080 Speaker 1: the rolodex as well. It's all those things rolled up 20 00:01:12,080 --> 00:01:16,000 Speaker 1: into one and this little, uh, this little electronic organ 21 00:01:16,240 --> 00:01:18,200 Speaker 1: that lives in our pocket. I know. And the funny 22 00:01:18,200 --> 00:01:20,800 Speaker 1: thing about that is that this question I'm about to 23 00:01:20,840 --> 00:01:25,200 Speaker 1: post would be ridiculous ten years ago, but now I 24 00:01:25,240 --> 00:01:27,920 Speaker 1: think it matters. Have you ever tried to recall an 25 00:01:27,959 --> 00:01:31,480 Speaker 1: actual phone number stored in your cell phone? I'm talking 26 00:01:31,480 --> 00:01:34,959 Speaker 1: about a phone number of a close friend or a relative, 27 00:01:35,160 --> 00:01:39,760 Speaker 1: and you've come up just with snake eyes. Yes, but 28 00:01:40,080 --> 00:01:44,319 Speaker 1: and it was trying. There were times, not recently, but 29 00:01:44,400 --> 00:01:48,920 Speaker 1: like in the first two or three years. Maybe. UM, 30 00:01:48,960 --> 00:01:51,000 Speaker 1: I do remember having that problem where I need to 31 00:01:51,040 --> 00:01:53,920 Speaker 1: list my wife's number on something or call her from 32 00:01:53,920 --> 00:01:56,560 Speaker 1: from another phone. And I we weren't married at the time, 33 00:01:56,600 --> 00:01:58,280 Speaker 1: but still if she was the person I was talking 34 00:01:58,320 --> 00:02:00,120 Speaker 1: to the most on the phone, and I didn't have 35 00:02:00,240 --> 00:02:03,080 Speaker 1: her number memorized yet, so I had to make a 36 00:02:03,120 --> 00:02:06,680 Speaker 1: conscious decision, Okay, this is this is the one number, 37 00:02:06,800 --> 00:02:08,280 Speaker 1: This is the the only one, but this is the 38 00:02:08,320 --> 00:02:11,640 Speaker 1: one number I need to commit to memory besides my own. See, 39 00:02:11,639 --> 00:02:15,840 Speaker 1: this is a fine example of us humans outsourcing memory 40 00:02:15,880 --> 00:02:19,359 Speaker 1: to metal and plastic, and it's something that we've been 41 00:02:19,400 --> 00:02:21,639 Speaker 1: doing for a long time. But now I think it's 42 00:02:21,760 --> 00:02:24,639 Speaker 1: very obvious because, as you say this, these devices are 43 00:02:25,000 --> 00:02:27,400 Speaker 1: things that we rely on all the time. Yea. And 44 00:02:27,400 --> 00:02:29,880 Speaker 1: not just the devices, of course, but just the Internet itself. 45 00:02:29,919 --> 00:02:33,760 Speaker 1: I mean, as as writers, we've certainly seen this trend 46 00:02:34,480 --> 00:02:38,000 Speaker 1: over the years where it's I'm forgetting how to spell 47 00:02:38,080 --> 00:02:41,880 Speaker 1: things because the spell check is so ubiquitous, it's everywhere, 48 00:02:41,919 --> 00:02:43,840 Speaker 1: it's and you know, and and if it's not in 49 00:02:43,880 --> 00:02:47,360 Speaker 1: the program that I'm using, then it's then it's it 50 00:02:47,440 --> 00:02:49,320 Speaker 1: halts me, it brings me to a stop. I can't 51 00:02:49,680 --> 00:02:51,840 Speaker 1: finish the sentence because I suddenly have all these doubts 52 00:02:51,840 --> 00:02:54,320 Speaker 1: about the things that I've written. It's like, sometimes I 53 00:02:54,320 --> 00:02:58,040 Speaker 1: find myself in a form intentionally misspelling a word in 54 00:02:58,160 --> 00:03:01,080 Speaker 1: order to make sure that the word I just spelled 55 00:03:01,160 --> 00:03:04,360 Speaker 1: was actually correct and not uh and not you know, 56 00:03:04,400 --> 00:03:05,960 Speaker 1: it was in a situation where that the spell check 57 00:03:06,040 --> 00:03:08,720 Speaker 1: was somehow turned off or malfunctioning. And that's such a 58 00:03:08,720 --> 00:03:11,639 Speaker 1: good example of a microcosm of how you are taking 59 00:03:11,720 --> 00:03:15,200 Speaker 1: memory and just shuttling off to someone else or something. 60 00:03:15,440 --> 00:03:17,440 Speaker 1: And I think a good macrocosm of this would be 61 00:03:17,520 --> 00:03:20,520 Speaker 1: something like the cloud, which we are now all beginning 62 00:03:20,520 --> 00:03:23,960 Speaker 1: to back up to right right, your your photos, your 63 00:03:24,040 --> 00:03:28,600 Speaker 1: your basic information on your phone, important documents. Uh. I 64 00:03:28,680 --> 00:03:32,600 Speaker 1: still occasionally run across old floppy disks that I that 65 00:03:32,680 --> 00:03:34,920 Speaker 1: with labels on them where I had like worked on 66 00:03:34,960 --> 00:03:37,320 Speaker 1: a short story or part of a novel or something, 67 00:03:37,560 --> 00:03:40,560 Speaker 1: you know, fifteen years ago. And at the time I 68 00:03:40,600 --> 00:03:42,160 Speaker 1: was like, all right, this, this is important. I mean 69 00:03:42,200 --> 00:03:43,560 Speaker 1: to put this on the ZIP file and I'm gonna 70 00:03:43,560 --> 00:03:47,800 Speaker 1: store this in a different location it doesn't safe or something. 71 00:03:47,840 --> 00:03:50,240 Speaker 1: And now it's becoming increasingbly, you know, it just seems 72 00:03:50,240 --> 00:03:52,320 Speaker 1: silly because it's out there in the cloud. It's it's 73 00:03:52,360 --> 00:03:58,080 Speaker 1: stored safely, and you know, unknown storage facilities, electronic storage 74 00:03:58,080 --> 00:04:00,120 Speaker 1: facilities around the world. Well see, And I think this 75 00:04:00,240 --> 00:04:01,960 Speaker 1: all points to this idea that we are now at 76 00:04:01,960 --> 00:04:04,200 Speaker 1: the age of Watson. And when I'm talking about Watson, 77 00:04:04,240 --> 00:04:06,960 Speaker 1: I am talking about Jeopardy, of course, because this used 78 00:04:07,000 --> 00:04:09,160 Speaker 1: to be the game show in which humans would roll 79 00:04:09,200 --> 00:04:13,120 Speaker 1: out their memory prowess and show everybody how awesome we 80 00:04:13,120 --> 00:04:16,320 Speaker 1: were in that department. But along came, of course, an 81 00:04:16,400 --> 00:04:21,120 Speaker 1: artificial machine and and trumped Ken Jennings. Of course, this 82 00:04:21,200 --> 00:04:26,080 Speaker 1: is the the Jeopardy champ and map enthusiasts math yes, 83 00:04:26,560 --> 00:04:30,360 Speaker 1: and showed us how fallible our memories really are and 84 00:04:30,360 --> 00:04:34,200 Speaker 1: how we really do rely on outsourcing it and if 85 00:04:34,240 --> 00:04:37,039 Speaker 1: you're like me, you sat there thinking about all this 86 00:04:37,120 --> 00:04:40,560 Speaker 1: outsourcing of memory and you kind of shame yourself a 87 00:04:40,560 --> 00:04:42,120 Speaker 1: little bit because you think, well, you know, maybe I 88 00:04:42,120 --> 00:04:44,800 Speaker 1: should be making an effort to memorize these facts for 89 00:04:44,880 --> 00:04:47,280 Speaker 1: those who retain this information. But then on the other hand, 90 00:04:47,760 --> 00:04:51,000 Speaker 1: it makes a certain amount of economic sense, right, I mean, 91 00:04:51,400 --> 00:04:54,760 Speaker 1: our minds are in this universe having to navigate this 92 00:04:54,839 --> 00:04:59,880 Speaker 1: world of of physical objects, and in non physical idea 93 00:05:00,120 --> 00:05:03,880 Speaker 1: is abstract numbers, and it makes sense that like a 94 00:05:03,920 --> 00:05:07,360 Speaker 1: sly mold, we would figure out the shortest path through 95 00:05:07,400 --> 00:05:10,320 Speaker 1: the maze. And I like this idea of couching it 96 00:05:10,440 --> 00:05:13,080 Speaker 1: in slime mold because if you think about memory, it 97 00:05:13,200 --> 00:05:16,240 Speaker 1: kind of does have its place an emergence, right, and 98 00:05:16,279 --> 00:05:18,520 Speaker 1: this idea of all of us coming together as one 99 00:05:18,680 --> 00:05:22,240 Speaker 1: organism and making life work for us, and in this 100 00:05:22,320 --> 00:05:26,839 Speaker 1: case memory. So this is actually called transactive memory, and 101 00:05:26,920 --> 00:05:31,080 Speaker 1: it has been around since the dawn of man and woman, 102 00:05:31,240 --> 00:05:33,839 Speaker 1: right yeah, Because I mean if you are thinking about 103 00:05:33,880 --> 00:05:36,800 Speaker 1: early man trying to start a fire or trying to 104 00:05:36,839 --> 00:05:40,960 Speaker 1: create a stew, well, it's very possible that several people 105 00:05:41,680 --> 00:05:44,640 Speaker 1: know the steps in order to create this fire or 106 00:05:44,800 --> 00:05:48,760 Speaker 1: to create this this meal, and so everybody is relying 107 00:05:48,880 --> 00:05:52,160 Speaker 1: on each other to try to figure out how to 108 00:05:52,200 --> 00:05:55,680 Speaker 1: bring all of this to fruition. Right, So, you know, 109 00:05:56,160 --> 00:05:58,159 Speaker 1: think about the most complex do in the world, and 110 00:05:58,160 --> 00:06:00,960 Speaker 1: maybe it has fifty steps to it. Well, those fifty 111 00:06:01,000 --> 00:06:04,560 Speaker 1: steps are distributed among many people who don't have a 112 00:06:04,640 --> 00:06:07,960 Speaker 1: writing utensil or the internet at their disposal to try 113 00:06:08,000 --> 00:06:10,320 Speaker 1: to figure out how to do something. And this is, uh, 114 00:06:10,400 --> 00:06:12,520 Speaker 1: it's important to know. This is before the age of 115 00:06:12,640 --> 00:06:16,840 Speaker 1: specialization really takes off in a larger sense in the civilization. 116 00:06:16,839 --> 00:06:18,479 Speaker 1: You know, the idea that once you have a circles 117 00:06:18,480 --> 00:06:19,880 Speaker 1: of food, you don't have to hunt all the time, 118 00:06:20,000 --> 00:06:24,960 Speaker 1: and certain individuals can devote themselves to certain specialized tasks. 119 00:06:25,360 --> 00:06:27,760 Speaker 1: But it's what but, as we're discussing here, even before that, 120 00:06:27,920 --> 00:06:30,279 Speaker 1: there's a certain amount of specialization that ends up taking 121 00:06:30,279 --> 00:06:36,240 Speaker 1: place because we are externalizing the necessary information. We're essentially 122 00:06:36,240 --> 00:06:40,279 Speaker 1: outsourcing it to other members of our community. Now. Harvard 123 00:06:40,360 --> 00:06:44,919 Speaker 1: psychologist Daniel Witner, Ralph Eber, and Paula Raymond began to 124 00:06:44,960 --> 00:06:48,040 Speaker 1: study transactive memory in earnest in the eighties and they 125 00:06:48,080 --> 00:06:51,919 Speaker 1: found this is interesting in terms of specialization, that spouses 126 00:06:52,320 --> 00:06:56,000 Speaker 1: often divide up memory tasks. Yes, and this is really 127 00:06:56,040 --> 00:06:59,800 Speaker 1: the most um, this is the the example of this 128 00:06:59,880 --> 00:07:01,440 Speaker 1: is really I think the easiest for most of us 129 00:07:01,440 --> 00:07:04,680 Speaker 1: to understand because they also applied to not only two spouses, 130 00:07:04,720 --> 00:07:08,320 Speaker 1: but also to like close flint friends or or or 131 00:07:08,400 --> 00:07:10,280 Speaker 1: people that you're working with an a regular basis. So, 132 00:07:10,320 --> 00:07:11,960 Speaker 1: for instance, some of the stuff we're talking about here, 133 00:07:12,160 --> 00:07:16,160 Speaker 1: I recognize in our work process. You know. Uh, because 134 00:07:16,400 --> 00:07:19,080 Speaker 1: it comes down to to this, all right, you imagine 135 00:07:19,160 --> 00:07:21,440 Speaker 1: you're you and your coworker, you and your spouse. There's 136 00:07:21,480 --> 00:07:25,960 Speaker 1: certain information you need easy access to. Now at a 137 00:07:26,040 --> 00:07:28,120 Speaker 1: at a very economic level, think about it. Does it 138 00:07:28,160 --> 00:07:31,040 Speaker 1: make sense for you both to have that? You know, 139 00:07:31,120 --> 00:07:33,080 Speaker 1: if you need one bottle of water on a hike, 140 00:07:33,120 --> 00:07:35,600 Speaker 1: would you both carry a bottle of water? No, one 141 00:07:35,600 --> 00:07:37,559 Speaker 1: person would carry the bottle of the water of water 142 00:07:37,600 --> 00:07:39,880 Speaker 1: and the other person would say carry the cooler of sandwiches. 143 00:07:40,320 --> 00:07:43,400 Speaker 1: And with information with memory, it often ends up the 144 00:07:43,440 --> 00:07:46,040 Speaker 1: same way, and we end up at like, at a 145 00:07:46,080 --> 00:07:49,000 Speaker 1: subconscious level, we're doing this. You're not you know, you're 146 00:07:49,040 --> 00:07:52,560 Speaker 1: not actively thinking, well, my wife she's keeping track of 147 00:07:52,920 --> 00:07:54,880 Speaker 1: you know of of you know when we have to 148 00:07:54,920 --> 00:07:57,000 Speaker 1: go out of town. Uh, this weekend and what time 149 00:07:57,000 --> 00:07:58,680 Speaker 1: we need to leave or whatever. So I'll just let 150 00:07:58,680 --> 00:08:01,040 Speaker 1: her handle that, not because I would choose to forget that, 151 00:08:01,080 --> 00:08:03,160 Speaker 1: I would rather fill my brain with other things. No, 152 00:08:03,320 --> 00:08:05,880 Speaker 1: we we end up doing this at a sub conscious level, 153 00:08:05,960 --> 00:08:09,000 Speaker 1: just again, like that slime mold reaching out through the 154 00:08:09,040 --> 00:08:11,480 Speaker 1: maze to find the shortest way out. I know, I 155 00:08:11,560 --> 00:08:14,120 Speaker 1: was thinking about it in my own relationship with my spouse, 156 00:08:14,120 --> 00:08:16,080 Speaker 1: and I thought, well, he is the person who keeps 157 00:08:16,120 --> 00:08:18,800 Speaker 1: all the dates in his head as well as like 158 00:08:19,120 --> 00:08:22,440 Speaker 1: details about my personal family history as well as his, 159 00:08:22,520 --> 00:08:24,880 Speaker 1: because he's kind of he's the big memory there. But 160 00:08:24,920 --> 00:08:27,080 Speaker 1: I'm the person who does all the technology stuff. I 161 00:08:27,120 --> 00:08:29,040 Speaker 1: remember all the pasthwords, I remember all the steps to 162 00:08:29,120 --> 00:08:32,920 Speaker 1: switch between streaming and DVD and UM DVR and all 163 00:08:32,920 --> 00:08:36,199 Speaker 1: the different things that have to do with our internet 164 00:08:36,400 --> 00:08:40,680 Speaker 1: media consumption. And we've never talked about it and said, hey, 165 00:08:40,720 --> 00:08:43,880 Speaker 1: this is how we're gonna parse out our life together. 166 00:08:43,920 --> 00:08:46,360 Speaker 1: But that's just sort of how it has fallen to us. 167 00:08:46,400 --> 00:08:49,199 Speaker 1: So I think it's very interesting that we would shuttle 168 00:08:49,280 --> 00:08:53,040 Speaker 1: off certain things with people and go to them and say, okay, 169 00:08:53,080 --> 00:08:55,040 Speaker 1: how do you do this now? Of course, it's it's 170 00:08:55,040 --> 00:08:57,720 Speaker 1: important to mention in all this that the human memory 171 00:08:58,600 --> 00:09:00,920 Speaker 1: is is always flawed. I mean we've talked about this before. 172 00:09:01,040 --> 00:09:03,040 Speaker 1: Our memory of things that happened to us is flawed. 173 00:09:03,040 --> 00:09:04,680 Speaker 1: Every time we take that memory out of the drawer, 174 00:09:04,720 --> 00:09:07,080 Speaker 1: we alter it in some way, shape or form. And 175 00:09:07,120 --> 00:09:12,040 Speaker 1: when it comes to various factoids and specific details, uh, 176 00:09:12,240 --> 00:09:15,959 Speaker 1: that is another area where we just have built in limitations. 177 00:09:15,960 --> 00:09:19,600 Speaker 1: But this is where having a brainmate comes from play, 178 00:09:20,120 --> 00:09:22,000 Speaker 1: be it a spouse or just you know, a long 179 00:09:22,120 --> 00:09:25,040 Speaker 1: term uh, you know, co worker or friend. There was 180 00:09:25,040 --> 00:09:27,200 Speaker 1: a study we're looking at here from Cilia B. Harris 181 00:09:27,280 --> 00:09:30,960 Speaker 1: at All titled Collaborative Remembering When can remembering what others 182 00:09:30,960 --> 00:09:35,360 Speaker 1: be beneficial? And in this particular study, the researchers looked 183 00:09:35,360 --> 00:09:38,480 Speaker 1: at older couples who have been together for decades. Uh. 184 00:09:38,520 --> 00:09:41,960 Speaker 1: They separated them questioned individually about events years and years ago, 185 00:09:42,480 --> 00:09:46,000 Speaker 1: and uh, they stumbled on in details about past events 186 00:09:46,920 --> 00:09:49,520 Speaker 1: when they but when they question question them together, they 187 00:09:49,559 --> 00:09:54,000 Speaker 1: were able to retrieve even more information. And they they 188 00:09:54,040 --> 00:09:56,360 Speaker 1: observed that the the individuals were engaging in something called 189 00:09:56,360 --> 00:09:59,760 Speaker 1: cross queuing. So they're costing these clues back and forth 190 00:10:00,120 --> 00:10:03,800 Speaker 1: until they trigger enough memories in each other to recall 191 00:10:04,200 --> 00:10:08,120 Speaker 1: the total event. So it's like this collective memorization of 192 00:10:08,160 --> 00:10:10,760 Speaker 1: a past event, but they have to be together to 193 00:10:10,760 --> 00:10:13,679 Speaker 1: bring it out. It's like the wonder Twins powers activity. 194 00:10:13,720 --> 00:10:16,240 Speaker 1: That's so funny. I'm sure everybody has had that experience 195 00:10:16,280 --> 00:10:21,800 Speaker 1: before with someone. Now. Another example of creating a little 196 00:10:22,080 --> 00:10:25,720 Speaker 1: hold for our memory is a very interesting one to me, 197 00:10:25,840 --> 00:10:28,360 Speaker 1: and it has to do with photographs, because to me, 198 00:10:28,400 --> 00:10:31,080 Speaker 1: this is a very subconscious thing. You take a photograph, right, 199 00:10:31,120 --> 00:10:33,520 Speaker 1: and you think, I'm I'm on vacation, I've had this 200 00:10:33,559 --> 00:10:36,360 Speaker 1: wonderful moment, and I am remembering all of this, I'm 201 00:10:36,440 --> 00:10:39,600 Speaker 1: soaking it in. But that may not be the case. 202 00:10:39,960 --> 00:10:42,800 Speaker 1: We're of course talking about the photo taking impairment effect. 203 00:10:43,160 --> 00:10:47,520 Speaker 1: And uh, I think we've all encountered people at events, 204 00:10:48,120 --> 00:10:52,000 Speaker 1: strangers generally, who are taking photographs, and we've we've we've 205 00:10:52,000 --> 00:10:56,440 Speaker 1: met this with varying degrees of irritation or resentment. You know, 206 00:10:56,520 --> 00:10:58,520 Speaker 1: you're you're saying you're the Grand Canyon, and you're like, 207 00:10:58,679 --> 00:11:00,360 Speaker 1: I'm just I just want to take the sin, I 208 00:11:00,440 --> 00:11:02,960 Speaker 1: just want to experience it. And then there's here's somebody 209 00:11:03,200 --> 00:11:06,400 Speaker 1: that is, uh, you know, painstakingly setting up a camera 210 00:11:06,559 --> 00:11:08,959 Speaker 1: to take a photograph of it, and at times you 211 00:11:09,000 --> 00:11:10,760 Speaker 1: can be a little judge. You can think like, oh, well, 212 00:11:10,760 --> 00:11:12,880 Speaker 1: look at me, I'm living in the moment of this experience. 213 00:11:12,880 --> 00:11:15,719 Speaker 1: I'm experiencing it. A photograph can't even capture what I'm 214 00:11:15,720 --> 00:11:18,440 Speaker 1: seeing now, and you're looking at it through a camera 215 00:11:18,880 --> 00:11:22,920 Speaker 1: or growing up, I certainly remember seeing parents obsessed with 216 00:11:23,040 --> 00:11:26,360 Speaker 1: video cameras where it seems like they're observing their entire 217 00:11:26,600 --> 00:11:30,199 Speaker 1: the entire childhood of their offspring through the lens of 218 00:11:30,240 --> 00:11:33,440 Speaker 1: the video camera. Um also, and of course concerts are 219 00:11:33,480 --> 00:11:36,040 Speaker 1: even worse now. I was. I was a concert about 220 00:11:36,080 --> 00:11:39,080 Speaker 1: a year ago, like a heavy metal concert for this 221 00:11:39,160 --> 00:11:42,679 Speaker 1: band called Sugar, and the Sugar has been around for 222 00:11:42,679 --> 00:11:46,040 Speaker 1: a while, so you saw this differ. I think I 223 00:11:46,040 --> 00:11:48,800 Speaker 1: think there's some relation. It's to the aid issue, but 224 00:11:49,080 --> 00:11:53,280 Speaker 1: the other from Scandinavia, but they've been Yeah, they've been 225 00:11:53,280 --> 00:11:56,360 Speaker 1: around for a while and so they're they're fan base, 226 00:11:56,480 --> 00:11:59,920 Speaker 1: you know, ranges from you know people. I'm probably around 227 00:11:59,960 --> 00:12:03,080 Speaker 1: the middle of the the the the age of brackets 228 00:12:03,480 --> 00:12:05,880 Speaker 1: for the fans. So me and a friend of mine 229 00:12:06,160 --> 00:12:08,400 Speaker 1: were watching the show, but we couldn't help but notice 230 00:12:08,400 --> 00:12:11,640 Speaker 1: some of the younger fans who were basically experiencing the 231 00:12:11,800 --> 00:12:16,680 Speaker 1: live music through their their iPhones as they videotaped it, 232 00:12:17,320 --> 00:12:19,040 Speaker 1: and and we, you know, we were just like, this 233 00:12:19,080 --> 00:12:21,600 Speaker 1: is the most unmetal thing we've ever seen in their lives. 234 00:12:21,880 --> 00:12:24,079 Speaker 1: You know, you should be experiencing hell. So it's it's 235 00:12:24,120 --> 00:12:26,440 Speaker 1: easy to bring this this attitude into it. But then 236 00:12:26,440 --> 00:12:29,720 Speaker 1: you talk to somebody for whom photography is their passion, 237 00:12:29,880 --> 00:12:32,480 Speaker 1: is there is you know, even their you know their career, 238 00:12:33,040 --> 00:12:36,600 Speaker 1: and you know you you you have to admit that 239 00:12:36,640 --> 00:12:40,480 Speaker 1: this is the way that they take the beauty in 240 00:12:40,480 --> 00:12:42,839 Speaker 1: their life and and remember it, you know, well in 241 00:12:42,840 --> 00:12:45,520 Speaker 1: those cases. And we'll talk in a second about this study. 242 00:12:45,760 --> 00:12:48,680 Speaker 1: That sort of I think vindicates your feelings about being 243 00:12:48,720 --> 00:12:51,280 Speaker 1: at the Grand Canyon and someone looking at it through 244 00:12:51,320 --> 00:12:54,000 Speaker 1: a lens as opposed to experiencing it um In some ways, 245 00:12:54,000 --> 00:12:57,080 Speaker 1: I think the photographer might be able to have a 246 00:12:57,520 --> 00:13:00,720 Speaker 1: the professional photographer might have a better sense of those 247 00:13:00,760 --> 00:13:02,640 Speaker 1: events because they go through those images and they do 248 00:13:02,679 --> 00:13:05,880 Speaker 1: a lot of editing afterward, as opposed to someone who's 249 00:13:05,960 --> 00:13:08,240 Speaker 1: just happening happens to take a picture of that and 250 00:13:08,280 --> 00:13:10,520 Speaker 1: they put on Instagram at that moment. What it's also 251 00:13:10,600 --> 00:13:13,040 Speaker 1: something to be said, maybe I'm being judgy, but taking 252 00:13:13,040 --> 00:13:15,640 Speaker 1: a bad picture something and taking a good picture. For instance, 253 00:13:15,640 --> 00:13:17,480 Speaker 1: when I go to the aquarium and I see somebody 254 00:13:17,520 --> 00:13:20,439 Speaker 1: take a flash a direct flash image of something in 255 00:13:20,480 --> 00:13:22,600 Speaker 1: an aquarium tank, like they're not going to get a 256 00:13:22,600 --> 00:13:25,400 Speaker 1: good picture, Like like, it's not like you're gonna go 257 00:13:25,480 --> 00:13:27,240 Speaker 1: home and be and and you're gonna look at the 258 00:13:27,280 --> 00:13:29,120 Speaker 1: image that you took and it's just gonna you know, 259 00:13:29,160 --> 00:13:31,560 Speaker 1: time travel you back to when you were staring at 260 00:13:31,559 --> 00:13:34,200 Speaker 1: that octopus. No, you took a really bad photo of 261 00:13:34,240 --> 00:13:37,760 Speaker 1: something that was far more impressive in real life, whereas 262 00:13:37,880 --> 00:13:40,080 Speaker 1: you know, there are if someone actually knows what they're 263 00:13:40,080 --> 00:13:42,679 Speaker 1: doing in the camera there and with especially if the 264 00:13:43,160 --> 00:13:46,000 Speaker 1: appropriate editing is applied, you can create a more beautiful 265 00:13:46,080 --> 00:13:49,200 Speaker 1: vision of what you actually saw. I think that you 266 00:13:49,200 --> 00:13:53,280 Speaker 1: should create a pamphlet to give out at these various 267 00:13:53,280 --> 00:13:56,360 Speaker 1: places like the aquarium, just to do your duty here 268 00:13:56,679 --> 00:13:59,000 Speaker 1: as a little p s A. I have thought before 269 00:13:59,240 --> 00:14:01,120 Speaker 1: that I amost want to see a sign that's as 270 00:14:01,160 --> 00:14:05,400 Speaker 1: professional of photographers only. Um, I mean really that's kind 271 00:14:05,400 --> 00:14:08,160 Speaker 1: of when there's no photography allow That's basically what the 272 00:14:08,280 --> 00:14:11,320 Speaker 1: arrangement is like. If you want to photograph these works 273 00:14:11,320 --> 00:14:13,520 Speaker 1: of art, for instance, for fish, then you need to 274 00:14:13,520 --> 00:14:15,240 Speaker 1: know what you're doing. You need to get special permission 275 00:14:15,280 --> 00:14:16,920 Speaker 1: to do it. You want a giant thumb and the 276 00:14:17,080 --> 00:14:19,280 Speaker 1: kind of a world class work. Oh well, you know 277 00:14:19,320 --> 00:14:20,920 Speaker 1: that's the other thing. Like I when I go to 278 00:14:20,920 --> 00:14:23,800 Speaker 1: an art museum and uh, And I've been accused of 279 00:14:23,800 --> 00:14:26,720 Speaker 1: being a stump about about going to our museums before, 280 00:14:27,280 --> 00:14:29,080 Speaker 1: about not wanting to hear a bunch of people talk 281 00:14:29,120 --> 00:14:31,560 Speaker 1: at etcetera. And I and I want to clarify that 282 00:14:31,600 --> 00:14:33,920 Speaker 1: I do think it's okay to talk in a museum. 283 00:14:33,920 --> 00:14:36,200 Speaker 1: But when I'm trying to look at works of art 284 00:14:36,280 --> 00:14:38,880 Speaker 1: and people are busy getting their photograph made in front 285 00:14:38,920 --> 00:14:41,720 Speaker 1: of it, like that just drives me crazy, Like like 286 00:14:41,760 --> 00:14:43,960 Speaker 1: that the art, the art is the art we are, 287 00:14:44,080 --> 00:14:45,960 Speaker 1: you know, we should be here to appreciate the art, 288 00:14:46,000 --> 00:14:48,400 Speaker 1: not to say this is great. I love this painting. 289 00:14:48,560 --> 00:14:50,240 Speaker 1: It would be a little better for my memory that 290 00:14:50,440 --> 00:14:52,240 Speaker 1: I had a picture of me with it making the 291 00:14:52,320 --> 00:14:55,160 Speaker 1: victory sign with my fingers. All right, Remind me never 292 00:14:55,240 --> 00:14:58,680 Speaker 1: to attend the aquarium or a museum with you, because 293 00:14:58,720 --> 00:15:00,600 Speaker 1: I do like the photo bomb every once in a while. 294 00:15:00,760 --> 00:15:04,280 Speaker 1: So just saying, all right, we're talking about here is 295 00:15:04,400 --> 00:15:09,080 Speaker 1: Fairfield Universities psychologists Linda Hankel, who gave test participants a 296 00:15:09,160 --> 00:15:11,840 Speaker 1: digital camera in an itinerary of objects to view at 297 00:15:11,840 --> 00:15:13,800 Speaker 1: a museum on campus. There. Yeah, they said, go to 298 00:15:13,800 --> 00:15:17,240 Speaker 1: the museum, look at these particular exhibits. And some of 299 00:15:17,240 --> 00:15:19,480 Speaker 1: them were told, all right, take photographs of the whole thing, 300 00:15:19,920 --> 00:15:22,680 Speaker 1: you know, this particular painting, whatever. Just get a good 301 00:15:22,680 --> 00:15:25,000 Speaker 1: picture of this painting for me. Other people were told, 302 00:15:25,280 --> 00:15:27,720 Speaker 1: get some details, get the details of this paint They 303 00:15:27,720 --> 00:15:31,240 Speaker 1: were asked specifically to zoom in on the detail, okay, 304 00:15:31,240 --> 00:15:33,480 Speaker 1: and that's really important. And other people were just sent 305 00:15:33,560 --> 00:15:36,360 Speaker 1: to look at stuff exactly right, right, and not take 306 00:15:36,400 --> 00:15:39,160 Speaker 1: any photographs whatsoever. So the next day she showed them 307 00:15:39,200 --> 00:15:41,880 Speaker 1: pictures of the names of the objects they had seen, 308 00:15:42,560 --> 00:15:44,560 Speaker 1: or excuse me that she shown them pictures or the 309 00:15:44,640 --> 00:15:46,600 Speaker 1: names of the objects they had seen, and some they 310 00:15:46,640 --> 00:15:48,920 Speaker 1: hadn't seen at all, and she asked details about the 311 00:15:48,960 --> 00:15:52,720 Speaker 1: once they remembered. Now, test participants recognized fewer objects they'd 312 00:15:52,720 --> 00:15:56,840 Speaker 1: photographed whole right than those that they observed on their 313 00:15:56,920 --> 00:16:01,160 Speaker 1: museum tour, and they were much less accurate and recalling 314 00:16:01,240 --> 00:16:04,360 Speaker 1: visual details of museum objects they've photographed hole compared with 315 00:16:04,400 --> 00:16:09,640 Speaker 1: those that only observed unless they zoomed in with their camera. 316 00:16:10,040 --> 00:16:13,320 Speaker 1: So just the act of taking the picture allowed them 317 00:16:13,360 --> 00:16:16,400 Speaker 1: to use transactive memory, essentially saying I don't need to 318 00:16:16,400 --> 00:16:19,680 Speaker 1: remember this, this is getting documented, so I don't have 319 00:16:19,720 --> 00:16:22,760 Speaker 1: to crab my brain with us unless again they did 320 00:16:22,760 --> 00:16:26,840 Speaker 1: the whole zoom function, which changed, uh, their their mindset. Really, 321 00:16:26,840 --> 00:16:29,120 Speaker 1: it would change their cognitive function at that moment because 322 00:16:29,160 --> 00:16:32,240 Speaker 1: they had to hone in and really observe at that moment. 323 00:16:32,640 --> 00:16:35,720 Speaker 1: So you see how subconsciously we're doing this with photograph 324 00:16:35,760 --> 00:16:37,720 Speaker 1: and you have to wonder, what about the Internet? What 325 00:16:37,840 --> 00:16:40,720 Speaker 1: is that doing to the way that we uh shuttle 326 00:16:40,760 --> 00:16:43,560 Speaker 1: off memory. Yeah, that's essentially the big point we're getting 327 00:16:43,600 --> 00:16:46,920 Speaker 1: to here, especially concerning transactive memory. Again, that idea that 328 00:16:46,960 --> 00:16:49,680 Speaker 1: we're we're saying, all right, well, Judy knows how to 329 00:16:49,720 --> 00:16:52,360 Speaker 1: make this portion of the stew so I'm going to 330 00:16:52,960 --> 00:16:54,880 Speaker 1: uh and it is all subconscious. I'm going to forget 331 00:16:54,920 --> 00:16:56,600 Speaker 1: how to do that because I know that someone else 332 00:16:56,800 --> 00:16:59,720 Speaker 1: in my group is already specializing in that. That is 333 00:16:59,760 --> 00:17:02,600 Speaker 1: how we end up treating the Internet, That's how we 334 00:17:02,640 --> 00:17:05,760 Speaker 1: treat the cloud, not as a reference book that we 335 00:17:05,760 --> 00:17:09,200 Speaker 1: have at our disposal, but as a person, as as 336 00:17:09,280 --> 00:17:11,560 Speaker 1: if this is a member of our community who just 337 00:17:11,680 --> 00:17:16,320 Speaker 1: happens to say, remember all the fahrenheit celsius conversion tables? 338 00:17:16,320 --> 00:17:20,320 Speaker 1: Who who happens to remember who was in every movie ever? 339 00:17:20,520 --> 00:17:23,639 Speaker 1: Who happens to remember you know, even a little stuff 340 00:17:23,680 --> 00:17:26,280 Speaker 1: like what days to certain holidays fallen this year? I mean, 341 00:17:26,320 --> 00:17:29,159 Speaker 1: all the all of that information. They are this uber friend, 342 00:17:29,560 --> 00:17:32,680 Speaker 1: this friend made out of out of the internet. And uh, 343 00:17:32,680 --> 00:17:35,320 Speaker 1: and we treat that, we treat the cloud as if 344 00:17:35,320 --> 00:17:37,560 Speaker 1: it is this person and at least in our mind. Yeah, 345 00:17:37,600 --> 00:17:41,679 Speaker 1: And so the question becomes, how does this transactive memory 346 00:17:41,680 --> 00:17:45,640 Speaker 1: writ large affect our brain? And I'm sure everybody uh 347 00:17:45,760 --> 00:17:49,280 Speaker 1: is familiar with that by now famous two thousand and 348 00:17:49,280 --> 00:17:53,159 Speaker 1: eleven study about how Google has affected our memory and 349 00:17:53,280 --> 00:17:56,680 Speaker 1: has changed it in a sense um. The paper two 350 00:17:56,680 --> 00:18:00,120 Speaker 1: thousand eleven paper called Google Effects on Memory Cognitive consequences 351 00:18:00,160 --> 00:18:03,680 Speaker 1: of having information at our fingertips details research carried out 352 00:18:03,760 --> 00:18:07,159 Speaker 1: in four memory studies, and it was found in just 353 00:18:07,200 --> 00:18:10,240 Speaker 1: a general overview. It was found that if participants thought 354 00:18:10,240 --> 00:18:12,880 Speaker 1: that the information they were presented with was being backed up, 355 00:18:13,280 --> 00:18:16,120 Speaker 1: they were less likely to remember it. In addition, they 356 00:18:16,160 --> 00:18:20,600 Speaker 1: had this, uh, this one experiment involving difficult trivia questions, 357 00:18:20,880 --> 00:18:24,920 Speaker 1: and participants were more likely to subsequently quickly react to 358 00:18:24,960 --> 00:18:28,159 Speaker 1: words like Google and Yahoo. It was two thousand and eleven, 359 00:18:29,040 --> 00:18:31,919 Speaker 1: then the non computer related Nike in your play. So 360 00:18:32,000 --> 00:18:34,680 Speaker 1: the idea is that when we were asked about things 361 00:18:34,680 --> 00:18:38,000 Speaker 1: we don't know, our first instinct now is to think 362 00:18:38,000 --> 00:18:42,080 Speaker 1: about finding the information online. And I'm sure everybody's experienced 363 00:18:42,080 --> 00:18:43,880 Speaker 1: that too. I know that, you know, at least ten 364 00:18:43,880 --> 00:18:46,960 Speaker 1: times a day, I'll be thinking about something and I 365 00:18:47,359 --> 00:18:51,040 Speaker 1: and it's very actually very um disturbing to my process 366 00:18:51,080 --> 00:18:53,680 Speaker 1: if I'm trying to get something done in one large chunk, 367 00:18:53,800 --> 00:18:56,639 Speaker 1: because my room will will sort of say, okay, go 368 00:18:56,800 --> 00:18:58,560 Speaker 1: let's stop what you're doing right now and go look 369 00:18:58,560 --> 00:19:00,959 Speaker 1: that up. And it will be silly stuff too, like 370 00:19:01,000 --> 00:19:04,040 Speaker 1: I'll be researching something to do with, say, I don't 371 00:19:04,080 --> 00:19:06,360 Speaker 1: know quantum physics, and then I'll suddenly need to know 372 00:19:06,520 --> 00:19:09,639 Speaker 1: if a vagota is still alive or I want our 373 00:19:09,880 --> 00:19:13,120 Speaker 1: or the other day it was this, I suddenly had 374 00:19:13,160 --> 00:19:15,919 Speaker 1: to know what Mitch McConnell looked like when he was younger, 375 00:19:16,520 --> 00:19:18,800 Speaker 1: and incidentally I could find no evidence of what he 376 00:19:18,800 --> 00:19:21,240 Speaker 1: looked like when he was younger, Like the the earliest 377 00:19:21,440 --> 00:19:24,560 Speaker 1: image I found a Minch McConnell. He was he already 378 00:19:24,600 --> 00:19:26,919 Speaker 1: looked like he was in his fifties. So um, if 379 00:19:26,920 --> 00:19:30,000 Speaker 1: anyone out there can can que me into what he 380 00:19:30,160 --> 00:19:32,280 Speaker 1: looked like, it's stupid, it makes no sense. But for 381 00:19:32,280 --> 00:19:34,760 Speaker 1: some reason, my mind has to know what he looked 382 00:19:34,800 --> 00:19:36,960 Speaker 1: like when he was a younger man for no reason, Like, 383 00:19:37,000 --> 00:19:39,960 Speaker 1: I'm not obsessed with mint McConnell in any way shape 384 00:19:40,040 --> 00:19:43,040 Speaker 1: or form in a negative repositive. And it's funny. I 385 00:19:43,080 --> 00:19:44,879 Speaker 1: was looking at a paper on mirror neurons, and all 386 00:19:44,880 --> 00:19:46,880 Speaker 1: of a sudden I had the urge or this thing 387 00:19:46,960 --> 00:19:50,119 Speaker 1: bubble up in my brain of was Barbarella supposed to 388 00:19:50,119 --> 00:19:53,280 Speaker 1: be a scientist? And I was like, no, don't stop 389 00:19:53,320 --> 00:19:55,359 Speaker 1: what you're doing right now to look that up. Please don't. 390 00:19:56,000 --> 00:19:57,760 Speaker 1: But then you have to you have to run off 391 00:19:57,840 --> 00:20:02,280 Speaker 1: and uh and hopefully you'll find an answer. I'll get 392 00:20:02,520 --> 00:20:05,199 Speaker 1: thirty minutes just going down the rabbit hole. Well, you 393 00:20:05,240 --> 00:20:06,960 Speaker 1: know how it is that when we talk about memory 394 00:20:07,000 --> 00:20:09,280 Speaker 1: loop and like closing it, you know that that that 395 00:20:09,760 --> 00:20:12,240 Speaker 1: is going to continually pop up for me until I 396 00:20:12,240 --> 00:20:16,040 Speaker 1: go on Google what Barbara Ella's profession was. Yeah, I 397 00:20:16,040 --> 00:20:18,399 Speaker 1: mean I've I've seen the movie several times and I 398 00:20:18,440 --> 00:20:21,320 Speaker 1: can't remember off hands, so I think she was so listeners, 399 00:20:21,440 --> 00:20:25,440 Speaker 1: let us know Barbara Ella. What was her occupation? Mitch McConnell, 400 00:20:25,480 --> 00:20:27,040 Speaker 1: what do you do look like when he's a teenager? 401 00:20:27,680 --> 00:20:30,080 Speaker 1: All right, we should probably take a quick break and 402 00:20:30,119 --> 00:20:32,320 Speaker 1: when we get back, we are going to talk about 403 00:20:32,320 --> 00:20:43,360 Speaker 1: outsourcing your identity. Alright, we're back. What is your favorite 404 00:20:43,760 --> 00:20:47,840 Speaker 1: scene in Barbaralla? Well, there's so there's so much. I mean, 405 00:20:47,880 --> 00:20:49,879 Speaker 1: the thirteen year old boy and me still likes the 406 00:20:50,320 --> 00:20:53,280 Speaker 1: opening credits when she's floating around. But then there's the 407 00:20:53,320 --> 00:20:56,879 Speaker 1: weird stuff with the dolls attacking and the ice. There's 408 00:20:56,920 --> 00:20:59,240 Speaker 1: the queen with the horn coming out of her head, 409 00:20:59,280 --> 00:21:03,280 Speaker 1: the leather peep bowl, the angel dude, the orgasm machine. 410 00:21:03,359 --> 00:21:07,159 Speaker 1: I mean, it's just NonStop. Yeah, I think it's the 411 00:21:07,240 --> 00:21:10,280 Speaker 1: dolls with the razor sharp teeth that might be my favorite, 412 00:21:10,280 --> 00:21:13,119 Speaker 1: but you're right, it's hard to pick. All right. Um. 413 00:21:13,200 --> 00:21:16,600 Speaker 1: In the past, we have talked about something called the Panopticon, 414 00:21:16,720 --> 00:21:18,840 Speaker 1: and we talked about how when it comes to data 415 00:21:19,080 --> 00:21:24,040 Speaker 1: data tracking, UM, we have willingly handed ourselves over to 416 00:21:24,080 --> 00:21:26,960 Speaker 1: the pan panopticon that that I in the corporate sky 417 00:21:27,119 --> 00:21:30,679 Speaker 1: that tags every move we make on the Internet. That's right, 418 00:21:30,720 --> 00:21:33,960 Speaker 1: I mean cookies signaling where we've been. Uh. You know, 419 00:21:34,040 --> 00:21:39,160 Speaker 1: you're logging into into Facebook to view various accounts, various 420 00:21:39,320 --> 00:21:43,560 Speaker 1: news organizations, etcetera. So companies like Facebook ended up having 421 00:21:43,600 --> 00:21:46,800 Speaker 1: this rather remarkable picture of who and what you are, 422 00:21:46,960 --> 00:21:50,320 Speaker 1: just based on little individual bits about your interest. Because 423 00:21:50,320 --> 00:21:52,800 Speaker 1: not only do they know, well, here she is interested 424 00:21:52,840 --> 00:21:54,919 Speaker 1: in this, then they know well, if he or she 425 00:21:55,040 --> 00:21:57,199 Speaker 1: is interested in this, and they likely line up with 426 00:21:57,200 --> 00:22:01,440 Speaker 1: certain demographics surrounding that fan base. And it gets very analytical. 427 00:22:01,800 --> 00:22:04,640 Speaker 1: But in a sense, Facebook ends up knowing you better 428 00:22:04,680 --> 00:22:07,199 Speaker 1: than you know yourself. Yeah, and we'll get to some 429 00:22:07,320 --> 00:22:10,199 Speaker 1: of those uh analytics and how robust they are and 430 00:22:10,200 --> 00:22:12,040 Speaker 1: how they can predict what you're going to do and 431 00:22:12,040 --> 00:22:14,240 Speaker 1: who you may be about. But first I wanted to 432 00:22:14,240 --> 00:22:17,399 Speaker 1: share this tidbit from Slate magazine. It's an article by 433 00:22:17,520 --> 00:22:19,959 Speaker 1: Ed Finn, and he says, these days, when a computer 434 00:22:19,960 --> 00:22:22,360 Speaker 1: crunches the numbers and tells you this is who you are, 435 00:22:22,480 --> 00:22:25,280 Speaker 1: it's hard to contradict because there's more data about you 436 00:22:25,320 --> 00:22:28,680 Speaker 1: in the machine than there is in your head. Algorithms 437 00:22:28,720 --> 00:22:31,679 Speaker 1: are most effective at curating the information that's hardest for 438 00:22:31,760 --> 00:22:33,800 Speaker 1: us to hold in our heads. How long we talked 439 00:22:33,840 --> 00:22:36,040 Speaker 1: to mom, or what day of the week we've splurge 440 00:22:36,080 --> 00:22:39,080 Speaker 1: on an extra cookie? And I thought, yeah, that that 441 00:22:39,240 --> 00:22:42,760 Speaker 1: is right. There's a kind of a data read out 442 00:22:42,760 --> 00:22:45,000 Speaker 1: of yourself. It doesn't mean that's you necessarily, but it 443 00:22:45,080 --> 00:22:47,240 Speaker 1: might give you a clearer picture of the ways that 444 00:22:47,320 --> 00:22:50,600 Speaker 1: you behave at least the way that you're manifesting. I 445 00:22:50,600 --> 00:22:54,080 Speaker 1: guess now. One of the most extreme examples of the 446 00:22:54,080 --> 00:22:58,080 Speaker 1: predictive power of analytics, I think it is a Facebook example, 447 00:22:58,560 --> 00:23:01,280 Speaker 1: and it's from a user name that who detailed on 448 00:23:01,440 --> 00:23:06,480 Speaker 1: BuzzFeed how Facebook sorted out his sexual identity before anyone 449 00:23:06,520 --> 00:23:10,000 Speaker 1: else did. Right he uh. He He ended up seeing 450 00:23:10,000 --> 00:23:12,679 Speaker 1: an ad for for a for an article and it 451 00:23:12,720 --> 00:23:15,159 Speaker 1: was about coming out as gay. Yes, it was like 452 00:23:15,200 --> 00:23:17,040 Speaker 1: how to come out as gay or something to that effect, like, 453 00:23:17,080 --> 00:23:18,800 Speaker 1: so you've decided to come out, and here are the 454 00:23:18,840 --> 00:23:21,679 Speaker 1: events that led up to that. Because he was mortified 455 00:23:21,720 --> 00:23:23,840 Speaker 1: by this, because he thought, what is going on is 456 00:23:23,920 --> 00:23:27,399 Speaker 1: Facebook looking at my text messages on my iPhone? Because 457 00:23:27,400 --> 00:23:31,160 Speaker 1: the night before he had received that advertisement, he had 458 00:23:31,240 --> 00:23:33,640 Speaker 1: texted a friend for some advice on how to come 459 00:23:33,640 --> 00:23:36,160 Speaker 1: out to his parents. Yeah, because if anyone's not aware, 460 00:23:36,200 --> 00:23:38,080 Speaker 1: like this is still this is a huge deal in 461 00:23:38,359 --> 00:23:41,800 Speaker 1: an individual's life when they when they come out, even 462 00:23:41,840 --> 00:23:45,400 Speaker 1: just you know, partially to people in their surroundings about 463 00:23:45,400 --> 00:23:48,199 Speaker 1: their sexual identity. Right, this is very sensitive information. And 464 00:23:48,240 --> 00:23:51,040 Speaker 1: he wanted to try to get to the the end 465 00:23:51,080 --> 00:23:53,320 Speaker 1: of this and figure out how Facebook has served him 466 00:23:53,400 --> 00:23:57,080 Speaker 1: up such a an on target advertisement. Now it seems 467 00:23:57,160 --> 00:24:00,040 Speaker 1: like it's probably just coincidence, but he went for to 468 00:24:00,520 --> 00:24:03,439 Speaker 1: all of his activity on Facebook and everything that he 469 00:24:03,520 --> 00:24:06,719 Speaker 1: had ever liked or identified with had nothing to do 470 00:24:07,200 --> 00:24:11,040 Speaker 1: with being gay. And the only thing that might have 471 00:24:11,200 --> 00:24:14,879 Speaker 1: given Facebook a clue is that he made a comment 472 00:24:14,920 --> 00:24:18,160 Speaker 1: on a friend's link um and that the friends link 473 00:24:18,320 --> 00:24:22,520 Speaker 1: was Ohio Senator Rob Portman announced his support for marriage equality, 474 00:24:22,600 --> 00:24:25,320 Speaker 1: and his comment was just saying that nothing is cut 475 00:24:25,320 --> 00:24:30,600 Speaker 1: and dried, that's all. And most likely those algorithms, again 476 00:24:30,920 --> 00:24:36,240 Speaker 1: are pretty robust enough to have delivered him an advertisement 477 00:24:36,720 --> 00:24:40,440 Speaker 1: about sexuality and coming out. So, I mean, for some people, 478 00:24:40,480 --> 00:24:43,760 Speaker 1: obviously it's going to raise questions about you know why 479 00:24:43,880 --> 00:24:46,600 Speaker 1: he had just texted the night before and then received 480 00:24:46,920 --> 00:24:49,639 Speaker 1: the advertisement, but most likely again this just had to 481 00:24:49,680 --> 00:24:52,520 Speaker 1: do on that that one comment that he made, because 482 00:24:52,520 --> 00:24:55,520 Speaker 1: we're putting so much of ourselves out there into the 483 00:24:55,560 --> 00:24:58,719 Speaker 1: cloud that you know, we're building this kind of reflection 484 00:24:58,840 --> 00:25:01,840 Speaker 1: of who and what we are. Yeah, there's a there's 485 00:25:01,880 --> 00:25:06,879 Speaker 1: a fabulous episode of Charlie Brooker's Black Mirror that that 486 00:25:06,880 --> 00:25:10,879 Speaker 1: that utilizes this, where an individual dies passes away, and 487 00:25:10,920 --> 00:25:13,680 Speaker 1: that individual happen to be a heavy social media user 488 00:25:13,680 --> 00:25:16,439 Speaker 1: and this takes place in a fictional near future. But 489 00:25:16,560 --> 00:25:19,399 Speaker 1: after this happens, there's a service that allows uh that 490 00:25:19,640 --> 00:25:23,199 Speaker 1: allows you to communicate with sort of a reassembly of 491 00:25:23,240 --> 00:25:26,720 Speaker 1: that persona based on the information that they have placed online. 492 00:25:26,760 --> 00:25:30,399 Speaker 1: So essentially using the aga the algorithmic understanding of a 493 00:25:30,440 --> 00:25:33,719 Speaker 1: departed loved one to rebuild them in the digital world, 494 00:25:34,119 --> 00:25:36,240 Speaker 1: which we've talked about before. I just wonder if you 495 00:25:36,320 --> 00:25:41,440 Speaker 1: try to create your own image of yourself algorithmically how 496 00:25:42,320 --> 00:25:44,879 Speaker 1: and then sort of communicate with that person or that 497 00:25:44,960 --> 00:25:47,919 Speaker 1: being or that information, how close would that be to 498 00:25:48,200 --> 00:25:51,240 Speaker 1: who you feel you actually are? Yeah, well, there it 499 00:25:51,280 --> 00:25:53,960 Speaker 1: seems like you get into that whole issue about is 500 00:25:54,000 --> 00:25:57,080 Speaker 1: there a single unified me? You know, because I'm different. 501 00:25:57,119 --> 00:25:59,199 Speaker 1: I'm a different person inside, I'm a different person with 502 00:25:59,200 --> 00:26:03,080 Speaker 1: different people. We have mentioned this before, but it probably 503 00:26:03,080 --> 00:26:07,119 Speaker 1: bears mentioning again that web surfing habits may be able 504 00:26:07,160 --> 00:26:11,679 Speaker 1: to predict depression. You now, this is a two and 505 00:26:11,680 --> 00:26:15,760 Speaker 1: twelve study from Missouri University of Science and Technology. We're 506 00:26:15,800 --> 00:26:19,840 Speaker 1: talking about depression screening questionnaire that was administered to two 507 00:26:20,080 --> 00:26:24,840 Speaker 1: d and sixteen students. Thirty percent um were identified as 508 00:26:24,880 --> 00:26:29,639 Speaker 1: having perhaps depression. And what they did is they gained 509 00:26:29,720 --> 00:26:33,720 Speaker 1: access to that thirty percent of their internet usage, of 510 00:26:33,760 --> 00:26:35,840 Speaker 1: course with their permission. And what they found is that 511 00:26:35,840 --> 00:26:39,560 Speaker 1: depressed students tended to email an instant message more frequently, 512 00:26:39,720 --> 00:26:42,240 Speaker 1: and we're more likely to download videos or songs and 513 00:26:42,280 --> 00:26:46,160 Speaker 1: play more online games than those who weren't depressed. Of course, 514 00:26:46,200 --> 00:26:47,960 Speaker 1: I kind of take issue with that because sometimes I 515 00:26:47,960 --> 00:26:50,439 Speaker 1: think it's a matter of how much time you have 516 00:26:50,520 --> 00:26:54,760 Speaker 1: on your hands, and we are talking about students. Yeah, yeah, 517 00:26:54,800 --> 00:26:58,000 Speaker 1: it's true, and you know, it's also worth saying. And 518 00:26:58,200 --> 00:27:00,840 Speaker 1: it's also which which comes first, right, is their situations 519 00:27:00,880 --> 00:27:02,520 Speaker 1: where if one has a lot of free time on 520 00:27:02,560 --> 00:27:04,600 Speaker 1: their hands, maybe they're a little more prone to depression, 521 00:27:04,920 --> 00:27:08,119 Speaker 1: or maybe if something happens in one's life. That is, 522 00:27:08,280 --> 00:27:10,160 Speaker 1: you know, that might lead to depression. It may also 523 00:27:10,240 --> 00:27:12,480 Speaker 1: lead to a little more extra time, so you lose 524 00:27:12,480 --> 00:27:15,840 Speaker 1: your job. So I mean it's hard to really to 525 00:27:15,960 --> 00:27:18,040 Speaker 1: track it and pin it down to sus up. And 526 00:27:18,080 --> 00:27:21,679 Speaker 1: then what do you make of people who are life bloggers? Right? 527 00:27:21,760 --> 00:27:25,280 Speaker 1: People who are doing this on purpose. They're taking as 528 00:27:25,400 --> 00:27:28,560 Speaker 1: much data as they can and trying to make a 529 00:27:28,600 --> 00:27:31,840 Speaker 1: story of themselves about it intentionally, right, And we're talking 530 00:27:31,840 --> 00:27:35,639 Speaker 1: about like people who produce annual reports of their activity 531 00:27:35,920 --> 00:27:40,080 Speaker 1: as obsessively logged throughout the year, you know, which which 532 00:27:40,080 --> 00:27:41,880 Speaker 1: again kind of comes back to that idea of people 533 00:27:41,880 --> 00:27:45,440 Speaker 1: with photographic memories as as ultimately suffering from a severe 534 00:27:45,960 --> 00:27:48,440 Speaker 1: self obsession. And that's where all of this comes from. 535 00:27:48,480 --> 00:27:51,240 Speaker 1: This is a kind of the externalation of that using 536 00:27:52,000 --> 00:27:55,280 Speaker 1: various uh, you know, either record keeping devices or outright 537 00:27:55,359 --> 00:27:59,879 Speaker 1: social media devices to to just keep very precise records 538 00:27:59,880 --> 00:28:04,080 Speaker 1: of what's going on and externalizing all of their memory. Well, 539 00:28:04,119 --> 00:28:07,520 Speaker 1: and that's where this idea of the future of outsourcing 540 00:28:07,640 --> 00:28:11,760 Speaker 1: memory comes into play, because if just even ten years ago, 541 00:28:11,880 --> 00:28:15,199 Speaker 1: we weren't that dependent on our our smart devices, our smartphones, 542 00:28:16,440 --> 00:28:18,920 Speaker 1: what is the next ten years gonna look like when 543 00:28:18,920 --> 00:28:23,440 Speaker 1: you have something like Google glass amassing data in an 544 00:28:23,440 --> 00:28:25,920 Speaker 1: intentional way, right, I mean we're talking about video, we're 545 00:28:25,920 --> 00:28:29,680 Speaker 1: talking about photographs, um, and we're talking about uploading all 546 00:28:29,720 --> 00:28:33,800 Speaker 1: of that to the cloud. Yeah, I mean because these 547 00:28:33,800 --> 00:28:37,280 Speaker 1: photographs we take especially, I mean, they're they're they mean 548 00:28:37,280 --> 00:28:39,280 Speaker 1: a lot to us. You know, we're taking pictures of 549 00:28:39,280 --> 00:28:41,120 Speaker 1: our children, We're taking pictures of the places we go, 550 00:28:41,280 --> 00:28:42,560 Speaker 1: and like some of these end up being like the 551 00:28:42,640 --> 00:28:45,600 Speaker 1: last photographs of people before they die. You know, these 552 00:28:45,600 --> 00:28:48,800 Speaker 1: are these are essential things. And then for that to 553 00:28:48,800 --> 00:28:51,880 Speaker 1: to say suddenly vanished because you're you know, your phone 554 00:28:51,920 --> 00:28:54,080 Speaker 1: was lost or your account was hacked, like that could 555 00:28:54,160 --> 00:28:58,960 Speaker 1: be heartbreaking, right. So you know, you have things like Memoir, 556 00:28:59,040 --> 00:29:02,440 Speaker 1: which is an app that will sink and store photos 557 00:29:02,440 --> 00:29:04,400 Speaker 1: from your phone and your computer in the cloud, which 558 00:29:04,400 --> 00:29:05,840 Speaker 1: makes sense, right because you have all this stuff, what 559 00:29:05,880 --> 00:29:08,160 Speaker 1: do you do with it? And it organizes it all 560 00:29:08,240 --> 00:29:10,520 Speaker 1: by date and then pulls in data. This is the 561 00:29:10,560 --> 00:29:13,800 Speaker 1: interesting thing from social networks like Facebook, Instagram in four 562 00:29:13,840 --> 00:29:17,800 Speaker 1: square to provide more social context. So the idea here 563 00:29:18,560 --> 00:29:21,040 Speaker 1: that the co founder Lee Hoffman is trying to hone 564 00:29:21,040 --> 00:29:23,840 Speaker 1: in on is that he can create they can create 565 00:29:24,600 --> 00:29:27,080 Speaker 1: something like a memory, a real memory, because we know 566 00:29:27,120 --> 00:29:29,480 Speaker 1: a memory isn't just like a one thing. We know 567 00:29:29,560 --> 00:29:32,959 Speaker 1: it's connected to all sorts of stuff, probably things that 568 00:29:33,000 --> 00:29:35,600 Speaker 1: we can't even you know, quantify quite yet, but we 569 00:29:35,680 --> 00:29:37,640 Speaker 1: know that a memory has to do with smell and 570 00:29:37,680 --> 00:29:39,240 Speaker 1: taste and what you see at the time and what 571 00:29:39,320 --> 00:29:41,320 Speaker 1: you feel at the time is just pegged all these 572 00:29:41,400 --> 00:29:44,800 Speaker 1: different associations. Yes, and it's and and you can forget it, 573 00:29:44,840 --> 00:29:46,960 Speaker 1: and you can also you alter it every time you 574 00:29:46,960 --> 00:29:48,640 Speaker 1: you look at it, and it can be flawed for 575 00:29:48,640 --> 00:29:50,520 Speaker 1: a number of reasons. But what we're talking about here 576 00:29:50,560 --> 00:29:53,160 Speaker 1: is there the recording of saying, you know, actual image 577 00:29:53,200 --> 00:29:55,120 Speaker 1: of what happened, or an actual audio of what happened, 578 00:29:55,240 --> 00:29:57,560 Speaker 1: or a GPS tag of exactly where you were at 579 00:29:57,560 --> 00:30:00,800 Speaker 1: a given time. So memory in a sense becomes more 580 00:30:00,920 --> 00:30:04,959 Speaker 1: more exact. And oddly enough this factors and do another 581 00:30:05,000 --> 00:30:07,920 Speaker 1: episode of Black Mirror, The Entire History of You, which 582 00:30:07,920 --> 00:30:10,960 Speaker 1: came out in two thousand and eleven, UH and Black Mirror, 583 00:30:11,000 --> 00:30:14,080 Speaker 1: by the way, excellent series, but only for our mature 584 00:30:14,440 --> 00:30:17,000 Speaker 1: audience members out there, because it deals with some some 585 00:30:17,000 --> 00:30:21,600 Speaker 1: some pretty dark, bleak UH subject matter, and this particular episode, 586 00:30:21,760 --> 00:30:24,440 Speaker 1: the entire history of you. All of the individuals in it, 587 00:30:24,480 --> 00:30:26,800 Speaker 1: at least those who can afford it, have this thing 588 00:30:26,840 --> 00:30:31,240 Speaker 1: called a grain implanted. It's like a brain implant, and 589 00:30:31,320 --> 00:30:35,120 Speaker 1: it basically takes anything they see is recorded, like all 590 00:30:35,160 --> 00:30:37,400 Speaker 1: just the videotape of their entire life is seen through 591 00:30:37,440 --> 00:30:40,680 Speaker 1: their eyes, is recorded and then can be recalled later, 592 00:30:40,920 --> 00:30:44,200 Speaker 1: can be inspected, say at the airport before you board 593 00:30:44,200 --> 00:30:45,640 Speaker 1: a plane, they want to see your you know, your 594 00:30:46,160 --> 00:30:48,640 Speaker 1: flash through your last forty eight hours to make sure 595 00:30:48,680 --> 00:30:52,560 Speaker 1: you're not up to any any mischief. And another like 596 00:30:52,600 --> 00:30:56,280 Speaker 1: and basically the whole episode explores some of the various complications, 597 00:30:56,760 --> 00:30:59,480 Speaker 1: uh and traumas that can occur when you have that 598 00:30:59,600 --> 00:31:01,880 Speaker 1: kind of you call it, you're disposed. You know, that's 599 00:31:01,880 --> 00:31:03,720 Speaker 1: really interesting because I was just thinking about this other 600 00:31:03,960 --> 00:31:06,360 Speaker 1: device is called me Meadow, and it's a wearable camera 601 00:31:06,440 --> 00:31:11,240 Speaker 1: and it takes um five megapixel pictures every thirty seconds. Yeah, 602 00:31:11,280 --> 00:31:13,240 Speaker 1: it's like that kind of thing. Yeah, in two thou 603 00:31:13,440 --> 00:31:16,160 Speaker 1: eleven it was science fiction, near future science fiction, but 604 00:31:16,200 --> 00:31:18,480 Speaker 1: now we're already seeing the stuff rollout. And then you 605 00:31:18,480 --> 00:31:22,200 Speaker 1: have something called life Logger, which is actually another device 606 00:31:22,360 --> 00:31:25,719 Speaker 1: that will document your life for you sort it, upload it, 607 00:31:26,080 --> 00:31:29,040 Speaker 1: contextualize it. And I was thinking about this movie called 608 00:31:29,120 --> 00:31:30,440 Speaker 1: Until the End of the World. I think it came 609 00:31:30,480 --> 00:31:32,960 Speaker 1: out in the eighties but I can't remember. Um but 610 00:31:33,160 --> 00:31:34,880 Speaker 1: in it. The reason I bring it up is because 611 00:31:34,920 --> 00:31:38,760 Speaker 1: it's this post apocalyptic world and people have access to 612 00:31:39,320 --> 00:31:43,640 Speaker 1: their memories just like a film on these devices which 613 00:31:43,680 --> 00:31:48,120 Speaker 1: kind of looks like iPads now um or mini air iPads. Uh. 614 00:31:48,320 --> 00:31:52,680 Speaker 1: But anyway, they become completely obsessed in hamstrung in their 615 00:31:52,720 --> 00:31:56,640 Speaker 1: efforts to even kind of move forward in this life 616 00:31:56,640 --> 00:32:00,560 Speaker 1: because they just keep going over this information of excessively 617 00:32:00,600 --> 00:32:02,880 Speaker 1: of how their lives used to be. Yeah, I mean 618 00:32:02,880 --> 00:32:05,840 Speaker 1: it instantly brings to mind, you know, very very Buddhist 619 00:32:05,880 --> 00:32:09,480 Speaker 1: ideas of of peace. You know about how if you 620 00:32:09,840 --> 00:32:12,480 Speaker 1: if you were shackled to the past or shackle to 621 00:32:12,560 --> 00:32:15,640 Speaker 1: the future, then you're not really experiencing any amount of freedom. 622 00:32:15,680 --> 00:32:17,120 Speaker 1: You know, you're not living in the in the moment 623 00:32:17,160 --> 00:32:20,080 Speaker 1: at all. And it's it's important that we forget things, 624 00:32:20,120 --> 00:32:22,560 Speaker 1: you know. It's easy, it's easy to to discount that 625 00:32:22,880 --> 00:32:24,440 Speaker 1: and you know say, oh, I wish I remember this, 626 00:32:24,520 --> 00:32:26,520 Speaker 1: or I musha remembered that. And I was just thinking, 627 00:32:27,000 --> 00:32:29,239 Speaker 1: you know, we're talking about photographs. So, like, imagine a 628 00:32:29,240 --> 00:32:31,920 Speaker 1: time not too long ago where you had a loved 629 00:32:31,920 --> 00:32:34,960 Speaker 1: one die and and you know, if you didn't have 630 00:32:35,040 --> 00:32:38,240 Speaker 1: access to you know, paintings or drawings or whatever, you 631 00:32:38,240 --> 00:32:40,880 Speaker 1: could easily forget that person's face in a matter of time. 632 00:32:40,920 --> 00:32:42,600 Speaker 1: You know it would you would, or at least you 633 00:32:42,600 --> 00:32:44,280 Speaker 1: would you reach that point where we would doubt your 634 00:32:44,280 --> 00:32:46,800 Speaker 1: own memory of their face. And that's that's kind of 635 00:32:46,800 --> 00:32:48,840 Speaker 1: powerful to think about. But on the other hand, we 636 00:32:48,880 --> 00:32:51,160 Speaker 1: need to be able to forget things like painful memories 637 00:32:51,200 --> 00:32:54,360 Speaker 1: need to dull over time, Like time doesn't heal all wounds, 638 00:32:54,440 --> 00:32:56,600 Speaker 1: but it does feel some wounds, and we need those 639 00:32:56,600 --> 00:32:58,800 Speaker 1: wounds to heal well. If you have a memory that's 640 00:32:58,800 --> 00:33:01,960 Speaker 1: particularly special to you, the ability to dwell upon it 641 00:33:02,000 --> 00:33:04,720 Speaker 1: and obsess on it, does it become trite? Then it 642 00:33:04,960 --> 00:33:08,320 Speaker 1: becomes so well known and so well trod territory that 643 00:33:08,360 --> 00:33:13,719 Speaker 1: it becomes kind of dull to you. Yeah, potentially. Yeah, alright. 644 00:33:13,760 --> 00:33:15,600 Speaker 1: So the next thing we're gonna talk about before we 645 00:33:15,640 --> 00:33:19,360 Speaker 1: wrap things up here about outsourcing memory is something called 646 00:33:19,440 --> 00:33:24,320 Speaker 1: a neuroprosthesis, and I kind of want one of these. 647 00:33:24,520 --> 00:33:28,479 Speaker 1: It's not available for humans yet, but I see advantages here. 648 00:33:28,520 --> 00:33:31,800 Speaker 1: There's a team at wake Force University headed up by 649 00:33:31,840 --> 00:33:35,600 Speaker 1: Sam dead Wilder and by the way, funded this research 650 00:33:35,680 --> 00:33:39,680 Speaker 1: was funded by DARPA, and they created this neuropros thesis 651 00:33:39,720 --> 00:33:45,040 Speaker 1: that promotes task specific neural firing. So what they're talking 652 00:33:45,080 --> 00:33:49,800 Speaker 1: about is of course racist macaques, right, and which is 653 00:33:49,840 --> 00:33:51,800 Speaker 1: a huge step by the way that they're using these 654 00:33:51,800 --> 00:33:54,200 Speaker 1: primates as supposed to rats, which they're doing they've been 655 00:33:54,240 --> 00:33:57,360 Speaker 1: doing for years, um. But they take an array of 656 00:33:57,400 --> 00:34:00,800 Speaker 1: electrodes and they implant them into the hippocamp us of 657 00:34:00,880 --> 00:34:05,320 Speaker 1: the monkeys and they're able to both record neural activity 658 00:34:05,360 --> 00:34:08,959 Speaker 1: and stimulate it. And then using a mathematical model called 659 00:34:09,160 --> 00:34:12,240 Speaker 1: MEMO m I m O, the researchers determined the pattern 660 00:34:12,320 --> 00:34:15,799 Speaker 1: of activity that was seen when each animal correctly performed 661 00:34:15,840 --> 00:34:18,920 Speaker 1: each type of trial, which is called a strong code, 662 00:34:18,920 --> 00:34:21,760 Speaker 1: and then when they failed, which is called a weak code. 663 00:34:22,360 --> 00:34:25,200 Speaker 1: Now that the end all being of this thing is 664 00:34:25,239 --> 00:34:28,080 Speaker 1: that they were able to go in and manipulate the 665 00:34:28,200 --> 00:34:30,719 Speaker 1: strong code when they were going back to do this 666 00:34:30,840 --> 00:34:36,759 Speaker 1: specific task and then bolster the brain's memory the response 667 00:34:36,880 --> 00:34:39,239 Speaker 1: of what to do next, that is the correct thing 668 00:34:39,320 --> 00:34:43,120 Speaker 1: to do next. That is crazy, it's essentially an electronic 669 00:34:43,160 --> 00:34:46,040 Speaker 1: brain enhancer. Yes, and doesn't that kind of I mean 670 00:34:46,080 --> 00:34:48,600 Speaker 1: for certain tasks that seems like it might be kind 671 00:34:48,600 --> 00:34:52,239 Speaker 1: of lovely, right, I mean of assuming you can turn 672 00:34:52,280 --> 00:34:55,360 Speaker 1: it off, turn it on. But then some people might say, well, 673 00:34:55,360 --> 00:34:57,160 Speaker 1: why would you ever turn it off? And and to 674 00:34:57,200 --> 00:35:00,120 Speaker 1: what extent does it become like uh, you know, the 675 00:35:00,120 --> 00:35:03,920 Speaker 1: the issue of say, at all prescriptions in in in school. 676 00:35:04,120 --> 00:35:05,759 Speaker 1: You know, you might become addicted. Like you we were 677 00:35:05,800 --> 00:35:08,280 Speaker 1: like I don't know how to think without this thing exactly, 678 00:35:08,360 --> 00:35:11,080 Speaker 1: or I think I essentially they all look around you 679 00:35:11,120 --> 00:35:14,279 Speaker 1: a bit about electronic brain enhancers. Eat, so they show 680 00:35:14,360 --> 00:35:17,719 Speaker 1: somebody with that's addicted to electronic brain enhancers and they're 681 00:35:17,719 --> 00:35:19,480 Speaker 1: just like sweating in a room and they have like 682 00:35:19,520 --> 00:35:23,120 Speaker 1: several these little electroids attached to their their head. But yeah, 683 00:35:23,120 --> 00:35:25,480 Speaker 1: but you get into issues like is it fair that 684 00:35:25,560 --> 00:35:28,520 Speaker 1: some people have have have these things and some people don't, 685 00:35:28,840 --> 00:35:31,760 Speaker 1: and then there are some people too dependent upon them. Uh, 686 00:35:31,800 --> 00:35:34,680 Speaker 1: it gets our cybernetic future is is weird? Well, does 687 00:35:34,719 --> 00:35:36,959 Speaker 1: that take away the sense of free will to write? 688 00:35:37,000 --> 00:35:39,759 Speaker 1: Because narrative is something we shape and we decide how 689 00:35:39,760 --> 00:35:43,160 Speaker 1: we're going to report the facts and and think about things, 690 00:35:43,360 --> 00:35:45,040 Speaker 1: and if it's there, if there are a set of 691 00:35:45,080 --> 00:35:48,760 Speaker 1: algorithms doing that for us, maybe then we don't really 692 00:35:48,800 --> 00:35:51,359 Speaker 1: have the free will we think we have. Yeah, that's 693 00:35:51,360 --> 00:35:53,480 Speaker 1: a that's a good, good point. And another thing about 694 00:35:53,520 --> 00:35:55,799 Speaker 1: algorithms to keep in mind too, To go back to 695 00:35:55,800 --> 00:35:59,840 Speaker 1: transactive memory for a second. Transactive memory works, it works. 696 00:36:00,080 --> 00:36:03,040 Speaker 1: Been using it for a while again, externalizing our memory 697 00:36:03,040 --> 00:36:05,440 Speaker 1: and the people around us. And again we're treating the 698 00:36:05,480 --> 00:36:07,719 Speaker 1: Internet the cloud more like a person than we're using 699 00:36:07,719 --> 00:36:11,319 Speaker 1: transactive memory when we engage with the cloud. But transactive 700 00:36:11,360 --> 00:36:13,600 Speaker 1: memory works best when you have a sense of how 701 00:36:13,640 --> 00:36:17,680 Speaker 1: your partner's mind works, how your how the coworker's mind work, 702 00:36:17,760 --> 00:36:22,360 Speaker 1: how your your mates mind works, etcetera. Um. With the Internet, though, 703 00:36:22,920 --> 00:36:25,200 Speaker 1: who knows the mind of the internet. The the the 704 00:36:25,239 --> 00:36:29,600 Speaker 1: Internet is not a person. It's this this vast uh 705 00:36:29,640 --> 00:36:34,040 Speaker 1: sea of knowledge, and it's ruled over by algorithms, by 706 00:36:34,200 --> 00:36:38,040 Speaker 1: media companies, by search terms and and what kind of 707 00:36:38,080 --> 00:36:40,360 Speaker 1: results that they're gonna they're gonna get you. Uh you 708 00:36:40,400 --> 00:36:43,400 Speaker 1: know again, what kind of what kind of mathematical equation 709 00:36:43,480 --> 00:36:46,160 Speaker 1: is deciding what information you see? What information is hidden 710 00:36:46,200 --> 00:36:51,040 Speaker 1: from you? So that's the quote unquote person that you're 711 00:36:51,080 --> 00:36:54,359 Speaker 1: that you're externalizing your memory in. That's interesting to look 712 00:36:54,400 --> 00:36:56,319 Speaker 1: at it as a partnership. And if you don't know 713 00:36:56,400 --> 00:36:58,239 Speaker 1: what the other side of that is, then how can 714 00:36:58,320 --> 00:37:01,640 Speaker 1: you really offshore that memory in a way that makes 715 00:37:01,640 --> 00:37:03,719 Speaker 1: you feel like okay about it? Yeah? I mean I 716 00:37:03,719 --> 00:37:05,799 Speaker 1: wouldn't go so far as to say that we are 717 00:37:05,840 --> 00:37:09,200 Speaker 1: outsourcing our memory to this dark, unknowable god, but it's 718 00:37:09,239 --> 00:37:12,400 Speaker 1: at least a gray, unknowable god. It's all part of 719 00:37:12,400 --> 00:37:15,040 Speaker 1: the Panopticon. It is, I have to say it that 720 00:37:15,040 --> 00:37:20,120 Speaker 1: way contractually, Okay. So it's an eye opening topic. Just 721 00:37:20,239 --> 00:37:23,800 Speaker 1: researching it made me really think about some of the 722 00:37:24,560 --> 00:37:28,320 Speaker 1: ways that I approach memory in my in my private life, 723 00:37:28,760 --> 00:37:31,799 Speaker 1: in my my home life, even in in in my 724 00:37:31,880 --> 00:37:35,879 Speaker 1: work life. Here, like, I can definitely see myself outsourcing 725 00:37:36,000 --> 00:37:38,919 Speaker 1: some memory test to you. Hopefully not too many of them, 726 00:37:39,160 --> 00:37:41,680 Speaker 1: but I know there are things. For instance, someone will 727 00:37:41,680 --> 00:37:43,839 Speaker 1: ask me about an episode we've done and they'll be like, oh, 728 00:37:43,840 --> 00:37:45,640 Speaker 1: you did that episode on such and such, and I'll 729 00:37:45,640 --> 00:37:48,200 Speaker 1: say and I'll either say or think, well, I don't 730 00:37:48,200 --> 00:37:50,399 Speaker 1: really recall that one all that much because I think 731 00:37:50,480 --> 00:37:52,960 Speaker 1: that the part you're asking about was a portion of 732 00:37:52,960 --> 00:37:55,880 Speaker 1: the podcast that Julie really had more of a handle on, 733 00:37:56,040 --> 00:37:58,200 Speaker 1: so like, on some level, I was saying, I don't 734 00:37:58,239 --> 00:37:59,880 Speaker 1: need to know that, because Julie is going to know that, 735 00:38:00,120 --> 00:38:02,319 Speaker 1: and vice versa, and I think it just kind of 736 00:38:02,400 --> 00:38:04,760 Speaker 1: brings home this idea that no man is an island 737 00:38:04,760 --> 00:38:07,400 Speaker 1: and to himself right right, as romantic as that idea is, 738 00:38:07,560 --> 00:38:09,319 Speaker 1: I mean, especially if you know, if you're a writer, 739 00:38:09,400 --> 00:38:11,480 Speaker 1: you're an artist, or you're a you know, a scientist 740 00:38:11,520 --> 00:38:13,560 Speaker 1: working on your own in the dark. We like to 741 00:38:13,600 --> 00:38:16,880 Speaker 1: think that where this there were this brain, this single 742 00:38:16,960 --> 00:38:19,680 Speaker 1: brain in the universe. But it's not that simple. We're 743 00:38:19,680 --> 00:38:22,000 Speaker 1: a brain in a body, and that brain that that 744 00:38:22,120 --> 00:38:26,640 Speaker 1: embodied brain is sharing a communal space with other embodied brains, 745 00:38:26,920 --> 00:38:30,120 Speaker 1: that's right. Or one big oozy organism, one big slime 746 00:38:30,120 --> 00:38:32,360 Speaker 1: mold trying to make its way through the maze of life. 747 00:38:33,239 --> 00:38:37,719 Speaker 1: It sounds like a good movie, which yeah, yeah, all right, 748 00:38:37,760 --> 00:38:40,480 Speaker 1: So there you have it. I'm sure everyone has some 749 00:38:40,560 --> 00:38:43,520 Speaker 1: interesting feedback on this particular topic, and we would love 750 00:38:43,560 --> 00:38:45,680 Speaker 1: to hear from you about it. Is how how do 751 00:38:45,719 --> 00:38:49,359 Speaker 1: you fear that feel that your memory has changed over 752 00:38:49,400 --> 00:38:51,239 Speaker 1: the course of the past a few decades, if you're 753 00:38:51,239 --> 00:38:53,960 Speaker 1: old enough to actually, um, you know, have have you 754 00:38:54,160 --> 00:38:56,200 Speaker 1: risen up on this this tide of internet and got 755 00:38:56,280 --> 00:38:58,239 Speaker 1: to experience it and then many of you were born 756 00:38:58,320 --> 00:39:01,120 Speaker 1: straight into it and maybe you have some feedback on 757 00:39:01,160 --> 00:39:03,719 Speaker 1: it as well. What do you think about this outsourcing 758 00:39:03,760 --> 00:39:05,080 Speaker 1: of memory and how do you think it's going to 759 00:39:05,120 --> 00:39:07,239 Speaker 1: affect us in the future. You can find us a 760 00:39:07,320 --> 00:39:09,200 Speaker 1: number of different ways, of course, as usual, just go 761 00:39:09,239 --> 00:39:11,360 Speaker 1: to stuff to Blow your Mind dot com. That is 762 00:39:11,400 --> 00:39:13,920 Speaker 1: our home base, that's the mothership. You'll find all the 763 00:39:13,960 --> 00:39:17,440 Speaker 1: podcast episodes there, the blog post, the videos, as well 764 00:39:17,440 --> 00:39:19,800 Speaker 1: as links out to our social media accounts like Twitter, 765 00:39:19,840 --> 00:39:23,080 Speaker 1: Facebook and Tumbler. And if you want to watch the 766 00:39:23,160 --> 00:39:25,680 Speaker 1: video specifically and you want to just be really focused 767 00:39:25,680 --> 00:39:27,640 Speaker 1: on that aspect of what we do, go to YouTube, 768 00:39:27,680 --> 00:39:30,600 Speaker 1: go to mind Stuff Show, hit that follow button and 769 00:39:30,640 --> 00:39:32,560 Speaker 1: then you'll be able to be right there on top 770 00:39:32,560 --> 00:39:34,880 Speaker 1: of everything. Let's put out Yeah, that mind Stuff show. 771 00:39:35,080 --> 00:39:39,120 Speaker 1: It shows us talking like in our human forms, and uh, 772 00:39:39,280 --> 00:39:42,279 Speaker 1: sometimes we we talk about the topics that we already cover, 773 00:39:42,320 --> 00:39:44,880 Speaker 1: and sometimes we go a little bit off script and 774 00:39:45,120 --> 00:39:47,759 Speaker 1: go into other bits of stuff. So yeah, and if 775 00:39:47,760 --> 00:39:50,560 Speaker 1: you've you've checked out the YouTube in the past and 776 00:39:50,600 --> 00:39:53,480 Speaker 1: you're like, I don't like what they're doing, etcetera. Check 777 00:39:53,520 --> 00:39:55,279 Speaker 1: it out in the future, because we have a whole 778 00:39:55,280 --> 00:39:57,120 Speaker 1: bunch of new ideas that are coming out. We've been 779 00:39:57,160 --> 00:40:00,200 Speaker 1: we've been learning how this video thing works as we go, 780 00:40:00,440 --> 00:40:02,840 Speaker 1: and I think we have some truly exciting content and 781 00:40:02,920 --> 00:40:05,960 Speaker 1: we have a lot of fully closed naked man that 782 00:40:06,000 --> 00:40:09,760 Speaker 1: we're featuring. Okay, yeah, good good. You can always finish 783 00:40:09,760 --> 00:40:12,719 Speaker 1: your thought by emailing us that blow the mind at 784 00:40:12,760 --> 00:40:19,520 Speaker 1: Discovery dot com. For more on this and thousands of 785 00:40:19,560 --> 00:40:28,400 Speaker 1: other topics, expeci at how stuff works dot com.