1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,119 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,240 --> 00:00:24,840 Speaker 1: production of I Heart Gradios How Stuff Works. Welcome back 5 00:00:24,880 --> 00:00:26,880 Speaker 1: to the show. My name is Matt, my name is 6 00:00:26,920 --> 00:00:30,200 Speaker 1: no they call me Ben. We are joined with our 7 00:00:30,400 --> 00:00:35,440 Speaker 1: super producer MAYA nickname to be decided cold today, So 8 00:00:36,320 --> 00:00:39,519 Speaker 1: right in and give us suggestions for cool nicknames. Uh. 9 00:00:39,760 --> 00:00:43,159 Speaker 1: Mission control has already taken. Paul is on an adventure, 10 00:00:43,280 --> 00:00:47,320 Speaker 1: will return soon. Most importantly, you are you, You are here, 11 00:00:47,400 --> 00:00:50,760 Speaker 1: and that makes this stuff they don't want you to know. 12 00:00:51,000 --> 00:00:54,640 Speaker 1: Quick question, folks, as you are listening today, what are 13 00:00:54,640 --> 00:00:57,200 Speaker 1: you looking at? What do you often do when you're 14 00:00:57,320 --> 00:01:00,400 Speaker 1: listening to a podcast. A lot of our fellow listeners 15 00:01:00,400 --> 00:01:03,720 Speaker 1: have written in to say I listened to stuff they 16 00:01:03,720 --> 00:01:06,720 Speaker 1: don't want you to know when I'm exercising or when 17 00:01:06,800 --> 00:01:10,800 Speaker 1: I'm doing housework. Sure, yeah, when I'm in the middle 18 00:01:10,840 --> 00:01:15,800 Speaker 1: of another smash and grab on a crime spree. We're kidding, 19 00:01:15,840 --> 00:01:18,640 Speaker 1: don't don't do a lot of it is about people 20 00:01:18,680 --> 00:01:21,119 Speaker 1: doing hobbies, whatever their hobby is, at their home. They're 21 00:01:21,200 --> 00:01:24,960 Speaker 1: listening to a podcast Ben and I off of Mike 22 00:01:25,120 --> 00:01:28,360 Speaker 1: just had a discussion about us working or on a 23 00:01:28,360 --> 00:01:32,160 Speaker 1: computer or playing a video game, even on mute while 24 00:01:32,200 --> 00:01:35,800 Speaker 1: listening to podcasts. But what do your eyes do while 25 00:01:35,840 --> 00:01:40,360 Speaker 1: you're busy in your ears with us? Wow? Yeah, I 26 00:01:40,920 --> 00:01:44,440 Speaker 1: after doing some research on this, I actually started wearing 27 00:01:44,680 --> 00:01:49,560 Speaker 1: sunglasses in the studio at least for today's episode. That's 28 00:01:49,600 --> 00:01:52,320 Speaker 1: not just for like to look awesome and be like 29 00:01:52,480 --> 00:01:56,000 Speaker 1: slightly intimidating. I don't you know. I'm flattered, but I 30 00:01:56,040 --> 00:01:58,960 Speaker 1: think I think most people just find it annoying. But 31 00:01:59,040 --> 00:02:02,640 Speaker 1: it's honest, it's a bit freakish what we're exploring today, 32 00:02:02,680 --> 00:02:05,160 Speaker 1: and we would like you to be part of this conversation. 33 00:02:05,240 --> 00:02:07,480 Speaker 1: So as we always like to say at the top 34 00:02:07,520 --> 00:02:10,000 Speaker 1: of the show, if you have something you want to 35 00:02:10,080 --> 00:02:13,920 Speaker 1: let us know immediately post taste before you forget. And 36 00:02:13,960 --> 00:02:16,560 Speaker 1: you're like, I don't have time to write out an email, 37 00:02:16,760 --> 00:02:18,880 Speaker 1: I need to hop on the horn right now. Well, you, 38 00:02:19,000 --> 00:02:22,240 Speaker 1: my friend, are in luck because you can call us directly. 39 00:02:22,520 --> 00:02:27,919 Speaker 1: We are one eight three three S D D. Yes, 40 00:02:27,960 --> 00:02:30,200 Speaker 1: that's our number, calling right now. Leave a message, tell 41 00:02:30,240 --> 00:02:33,240 Speaker 1: us anything you want. You have three minutes, and remember 42 00:02:33,280 --> 00:02:35,760 Speaker 1: if you do not wish to be identified on air, 43 00:02:35,919 --> 00:02:39,920 Speaker 1: that's all jolly good. Just explicitly tell us that. Or 44 00:02:39,960 --> 00:02:41,600 Speaker 1: if you just want to tell us something and you 45 00:02:41,639 --> 00:02:43,000 Speaker 1: don't want it to go on here, it all tell 46 00:02:43,080 --> 00:02:45,040 Speaker 1: us that too. Or you use one of those voice 47 00:02:45,080 --> 00:02:47,320 Speaker 1: disguisers the serial killers use. That's entirely up to you 48 00:02:47,360 --> 00:02:50,959 Speaker 1: and on your serial killer whatever. That's profile, and that's fair. 49 00:02:51,000 --> 00:02:53,200 Speaker 1: That's fair. Here's a thing we never mentioned at the 50 00:02:53,200 --> 00:02:54,680 Speaker 1: top of the show that I would like today, If 51 00:02:54,720 --> 00:02:57,080 Speaker 1: you would be so kind, please leave us a review 52 00:02:57,120 --> 00:02:59,760 Speaker 1: on whatever podcast platform of choice allows you to do, 53 00:03:00,600 --> 00:03:02,840 Speaker 1: preferably Apple Podcasts, I think that's what they're calling it 54 00:03:02,880 --> 00:03:05,760 Speaker 1: these days. Say something nice and helps with the algorithm. 55 00:03:05,840 --> 00:03:09,120 Speaker 1: It helps raise the profile of the show. And honestly, 56 00:03:09,120 --> 00:03:11,240 Speaker 1: considering how many people listen to the show, the number 57 00:03:11,280 --> 00:03:14,320 Speaker 1: of reviews we have is a travesty. So help us 58 00:03:14,320 --> 00:03:19,280 Speaker 1: with that. Yes, vote your conscience please. So before you 59 00:03:19,960 --> 00:03:25,000 Speaker 1: heard our our weird voices coming coming through your ear holes, 60 00:03:25,240 --> 00:03:29,359 Speaker 1: you probably heard an add Maybe it was a promotion 61 00:03:29,600 --> 00:03:33,560 Speaker 1: for one of our many new podcast Maybe it was 62 00:03:33,880 --> 00:03:37,520 Speaker 1: some some offer to go to a website like Great 63 00:03:37,520 --> 00:03:41,600 Speaker 1: Courses or something like that. A long time ago, years 64 00:03:41,600 --> 00:03:47,120 Speaker 1: and years back, Matt, you and I had an unsuccessful experiment. 65 00:03:47,160 --> 00:03:51,520 Speaker 1: We've had many experiments. You remember this right years ago 66 00:03:52,000 --> 00:03:55,640 Speaker 1: we decided we're looking at big data and advertising in 67 00:03:55,680 --> 00:04:00,240 Speaker 1: general and these our modern days, to try and out 68 00:04:00,480 --> 00:04:04,640 Speaker 1: every single AD we saw in this space of one day, 69 00:04:04,760 --> 00:04:07,960 Speaker 1: and we failed because eventually you just give up. I 70 00:04:08,040 --> 00:04:11,840 Speaker 1: lost count after two hundreds. Yeah, yeah, And I remember 71 00:04:11,920 --> 00:04:15,480 Speaker 1: we had a lengthy discussion about what constitutes an AD. 72 00:04:16,240 --> 00:04:19,320 Speaker 1: Is a logo like just a singular logo without any 73 00:04:19,320 --> 00:04:22,039 Speaker 1: other words, or a picture that represents a company. Is 74 00:04:22,080 --> 00:04:24,880 Speaker 1: that an AD? I would argue, yes, I think so too. 75 00:04:24,960 --> 00:04:28,240 Speaker 1: And in that case, we, I mean we, we weren't 76 00:04:28,279 --> 00:04:30,840 Speaker 1: even counting correctly because there were so many of those 77 00:04:30,880 --> 00:04:33,760 Speaker 1: that we encounter every day. Although the nature of who 78 00:04:33,800 --> 00:04:35,919 Speaker 1: pays for the AD or how the AD is distributed 79 00:04:36,000 --> 00:04:38,120 Speaker 1: probably should be on the table, because if I have 80 00:04:38,200 --> 00:04:41,279 Speaker 1: an Adida's hoodie, I paid money for that Adida's hoodie 81 00:04:41,320 --> 00:04:43,280 Speaker 1: because I think it's cool, but it's also technically an 82 00:04:43,279 --> 00:04:45,520 Speaker 1: ad for Adidas, and they didn't buy it though I 83 00:04:45,520 --> 00:04:47,760 Speaker 1: paid them for the privilege of wearing their ad. Right, 84 00:04:47,839 --> 00:04:51,360 Speaker 1: you paid them for the privilege of advertising for them, 85 00:04:51,440 --> 00:04:55,559 Speaker 1: So congrats. That's why I usually that's why I usually 86 00:04:55,640 --> 00:04:59,480 Speaker 1: am adverse to many brands. But but you know, that's 87 00:04:59,480 --> 00:05:02,360 Speaker 1: the nature of the beast, right, people like those identifiers. 88 00:05:02,400 --> 00:05:06,280 Speaker 1: Ads are not necessarily a terrible thing. It would be 89 00:05:07,080 --> 00:05:10,480 Speaker 1: ridiculous for us to argue that on this show, right, 90 00:05:10,560 --> 00:05:13,800 Speaker 1: because there will be an AD here at some point. However, 91 00:05:15,520 --> 00:05:19,800 Speaker 1: ads are so ubiquitous advertisement in some form every day. 92 00:05:19,920 --> 00:05:23,680 Speaker 1: Most of us are surrounded by institutions, technologies, and various 93 00:05:23,680 --> 00:05:27,800 Speaker 1: groups that try ardently to collect as much information about 94 00:05:27,839 --> 00:05:31,440 Speaker 1: us as possible and then analyze it six ways from Sunday. 95 00:05:31,520 --> 00:05:34,680 Speaker 1: And you know, often they get things hilariously wrong. Like 96 00:05:34,760 --> 00:05:37,640 Speaker 1: have you You've probably probably had this thing where you 97 00:05:37,760 --> 00:05:40,640 Speaker 1: order something that's maybe a one time purchase, you get 98 00:05:40,720 --> 00:05:44,240 Speaker 1: like a toilet seat replacement or whatever, and then the 99 00:05:44,279 --> 00:05:46,040 Speaker 1: next thing, you know, for a week or two, you're 100 00:05:46,080 --> 00:05:48,760 Speaker 1: inundated with these ads for toilet seats, like you're some 101 00:05:48,839 --> 00:05:52,000 Speaker 1: kind of regular toilet seat enthusiasts, like you're some sort 102 00:05:52,000 --> 00:05:55,480 Speaker 1: of addict. And Facebook is thinking, well, if we just 103 00:05:55,560 --> 00:05:57,880 Speaker 1: keep showing them the add like, what are they gonna do? 104 00:05:57,920 --> 00:06:00,719 Speaker 1: Are they gonna say just one more I'll treat myself. 105 00:06:00,760 --> 00:06:03,240 Speaker 1: I guess this guy's on a customed toilet seat kick 106 00:06:03,360 --> 00:06:04,960 Speaker 1: right now, we really got to flood in while the 107 00:06:05,000 --> 00:06:07,120 Speaker 1: stir while the iron is hot. Or you buy a 108 00:06:07,120 --> 00:06:09,000 Speaker 1: car and they're like, you know what, this person and 109 00:06:09,120 --> 00:06:13,360 Speaker 1: just bought a corvette needs three more corvettes. Just wait 110 00:06:13,400 --> 00:06:15,880 Speaker 1: until you until you have a child. Ben, one day 111 00:06:15,920 --> 00:06:18,040 Speaker 1: you're going to have a child. I can I can 112 00:06:18,120 --> 00:06:21,200 Speaker 1: foresee it. I've had a prophecy. And when you have 113 00:06:21,240 --> 00:06:25,239 Speaker 1: a child, you realize just how many ads are thrown 114 00:06:25,279 --> 00:06:28,599 Speaker 1: at you about having a baby. Yeah, and it gets 115 00:06:28,600 --> 00:06:32,800 Speaker 1: pretty invasive. Right. There are not as many privacy safeguards 116 00:06:32,800 --> 00:06:34,640 Speaker 1: as one would expect when it comes to the world 117 00:06:34,720 --> 00:06:39,280 Speaker 1: of data aggregation. We always talk about the famous and 118 00:06:39,400 --> 00:06:43,520 Speaker 1: completely true, by the way folks story about target predicting 119 00:06:43,680 --> 00:06:47,320 Speaker 1: a pregnancy in such a way that surprised the parents 120 00:06:47,520 --> 00:06:52,839 Speaker 1: of the expecting mother. At times, advertising now, especially in 121 00:06:52,880 --> 00:06:57,120 Speaker 1: the digital space, can feel close to telepathy or an 122 00:06:57,120 --> 00:07:00,880 Speaker 1: attempt at it. But it's it's not quite air yet, 123 00:07:01,279 --> 00:07:04,720 Speaker 1: and that is what today's episode is about in large part, 124 00:07:04,920 --> 00:07:07,920 Speaker 1: so here the facts. It's no secret that advertisers are 125 00:07:08,000 --> 00:07:11,720 Speaker 1: infamous for their relentless pursuit to learn everything they can 126 00:07:11,800 --> 00:07:14,040 Speaker 1: about you. No matter who you are, in the hopes 127 00:07:14,120 --> 00:07:17,880 Speaker 1: of selling you something at some point. Yeah, but there's 128 00:07:17,880 --> 00:07:21,880 Speaker 1: this one one thing that's always alluded all of their 129 00:07:21,920 --> 00:07:24,440 Speaker 1: efforts and all of these companies and how much time 130 00:07:24,480 --> 00:07:27,040 Speaker 1: and money they've spent on this, and it is your 131 00:07:27,640 --> 00:07:31,760 Speaker 1: physical bodily reaction to everything that they're doing, to the 132 00:07:31,800 --> 00:07:33,960 Speaker 1: ads that they're putting in front of your face, to 133 00:07:34,400 --> 00:07:39,080 Speaker 1: to them how bright, how dark like, what color? All 134 00:07:39,120 --> 00:07:42,640 Speaker 1: of these things. They cannot tell precisely how you are 135 00:07:42,720 --> 00:07:45,760 Speaker 1: reacting in real time, which just to give you a 136 00:07:45,800 --> 00:07:49,920 Speaker 1: sense of the stakes here and how much information these 137 00:07:50,000 --> 00:07:54,200 Speaker 1: organizations would like to collect if you had, for some reason, 138 00:07:54,240 --> 00:07:56,360 Speaker 1: I'm not making fun of anybody, if you had, for 139 00:07:56,400 --> 00:07:59,200 Speaker 1: some reason physical reaction where you had like a little 140 00:07:59,240 --> 00:08:02,520 Speaker 1: anxiety for every time you saw something, they would want 141 00:08:02,560 --> 00:08:09,080 Speaker 1: to know that, yes, yes, yes, Just so that was one. 142 00:08:10,040 --> 00:08:15,440 Speaker 1: There's not really a limit for data collectors. There's not 143 00:08:15,520 --> 00:08:18,000 Speaker 1: a moment where they would say, well, this is too much, 144 00:08:18,120 --> 00:08:23,160 Speaker 1: this is we're getting a little weird right now. Whether 145 00:08:23,320 --> 00:08:26,600 Speaker 1: there is whether we're talking billboards or banners or you know, 146 00:08:26,680 --> 00:08:29,200 Speaker 1: ads on your phone or your freemium game or whatever 147 00:08:29,240 --> 00:08:33,000 Speaker 1: you're playing. Advertisers have always had to rely on other 148 00:08:33,160 --> 00:08:38,160 Speaker 1: indicators to see whether they could grab someone's attention, so 149 00:08:38,200 --> 00:08:42,160 Speaker 1: they know, for instance, um, in a YouTube ad or 150 00:08:42,240 --> 00:08:45,480 Speaker 1: something where you have five seconds before you can click right, 151 00:08:45,600 --> 00:08:48,760 Speaker 1: they know that you are doing something during those five seconds, 152 00:08:48,760 --> 00:08:51,080 Speaker 1: but you're paying attention to the ad or you you know, 153 00:08:51,320 --> 00:08:54,959 Speaker 1: like oh, I'm gonna, I don't know, drink soda. Well, yeah, 154 00:08:55,040 --> 00:08:58,880 Speaker 1: especially just that that concept if you're looking. If let's 155 00:08:58,880 --> 00:09:01,800 Speaker 1: say you're using your phone right and you've got YouTube 156 00:09:01,800 --> 00:09:04,200 Speaker 1: playing a YouTube aad comes up, how are they going 157 00:09:04,240 --> 00:09:06,120 Speaker 1: to know if you're actually looking at that ad or 158 00:09:06,200 --> 00:09:08,520 Speaker 1: just looking somewhere else while it's playing, or even putting 159 00:09:08,520 --> 00:09:10,840 Speaker 1: your phone down Right now, there are ways on on 160 00:09:11,040 --> 00:09:13,800 Speaker 1: most smartphones to tell if you've put it down, if 161 00:09:13,840 --> 00:09:16,720 Speaker 1: you've turned the screen off, if you've clicked. They definitely 162 00:09:16,760 --> 00:09:19,080 Speaker 1: know if you've done anything like that. But as of 163 00:09:19,240 --> 00:09:23,199 Speaker 1: right now, nobody is well, at least, oh god, we're 164 00:09:23,200 --> 00:09:26,360 Speaker 1: about to get into it, but nobody's using the camera 165 00:09:28,200 --> 00:09:33,520 Speaker 1: to actually look at you while you're looking at it officially, officially, officially, 166 00:09:33,559 --> 00:09:36,560 Speaker 1: there are there are hacks of plenty, and who reads 167 00:09:36,640 --> 00:09:39,640 Speaker 1: their terms of service? You know what I mean? Who does? 168 00:09:40,480 --> 00:09:45,079 Speaker 1: I had an old friend professor at a local university 169 00:09:45,160 --> 00:09:48,440 Speaker 1: here who was a graphic design guy, and he was 170 00:09:49,200 --> 00:09:52,599 Speaker 1: working on a project to make terms of service and 171 00:09:52,679 --> 00:09:57,440 Speaker 1: those agreements more readable. Oh, like a really cool thing 172 00:09:57,440 --> 00:10:00,280 Speaker 1: that automatically sorted this stuff you should be concerned about 173 00:10:00,280 --> 00:10:03,000 Speaker 1: and popped it up at the top. That's really great 174 00:10:03,040 --> 00:10:06,360 Speaker 1: and nice and cool. His funding was pulled. Yeah, there's 175 00:10:06,400 --> 00:10:09,079 Speaker 1: just not an incentive for it. Yeah. So here's a 176 00:10:09,080 --> 00:10:12,480 Speaker 1: little experiment that we found in Slate and want to 177 00:10:12,679 --> 00:10:14,680 Speaker 1: what you think about this, just for a moment. Don't 178 00:10:14,679 --> 00:10:17,480 Speaker 1: do this if you're driving. Uh, if you're in the 179 00:10:17,520 --> 00:10:19,880 Speaker 1: middle of like your m M A training or whatever, 180 00:10:20,120 --> 00:10:22,319 Speaker 1: just wait, wait till you have a safe place to 181 00:10:22,360 --> 00:10:24,240 Speaker 1: sit down. Oh wait, and I've got an idea. If 182 00:10:24,280 --> 00:10:28,040 Speaker 1: you can find a mirror, look into that mirror while 183 00:10:28,120 --> 00:10:33,600 Speaker 1: we read off this this list, it's a little different. Yeah, 184 00:10:33,720 --> 00:10:36,720 Speaker 1: it's we're mixing the senses here in the reaction, but 185 00:10:36,760 --> 00:10:38,640 Speaker 1: we just want to see if you notice anything. Okay, 186 00:10:38,679 --> 00:10:41,480 Speaker 1: so consider for a moment, mirrors at the ready the 187 00:10:41,520 --> 00:10:53,960 Speaker 1: following list. Republican abortion, Democrat, future, Afghanistan, healthcare, same sex marriage. 188 00:10:55,240 --> 00:10:57,679 Speaker 1: Now we've tried, i think all of us to just 189 00:10:57,720 --> 00:11:00,200 Speaker 1: say these as straight as we can, just like say 190 00:11:00,200 --> 00:11:02,760 Speaker 1: the word without without trying to add you much to 191 00:11:02,800 --> 00:11:05,959 Speaker 1: it um. But we want to know if you've noticed 192 00:11:06,000 --> 00:11:08,200 Speaker 1: that there was was there any reaction in your face 193 00:11:08,200 --> 00:11:10,840 Speaker 1: when you heard any of those words, maybe a dilation 194 00:11:10,920 --> 00:11:14,920 Speaker 1: of the pupils at one point right or narrowing, Maybe 195 00:11:15,080 --> 00:11:18,280 Speaker 1: your eyes flicked in one direction or another. Did you 196 00:11:18,480 --> 00:11:22,840 Speaker 1: notice a blink that ordinarily would have passed you by. 197 00:11:22,880 --> 00:11:27,599 Speaker 1: There is a tremendous, profound, enormous amount of information reflected 198 00:11:27,679 --> 00:11:30,240 Speaker 1: in the way you just read that list, if you 199 00:11:30,360 --> 00:11:33,280 Speaker 1: if you read it written down, or if you're watching 200 00:11:33,320 --> 00:11:36,640 Speaker 1: your own reactions. Honestly, we don't know exactly how it's 201 00:11:36,640 --> 00:11:40,120 Speaker 1: going to be if you just hear it precisely, but 202 00:11:41,200 --> 00:11:43,520 Speaker 1: for certain there was some kind of reaction. It sounds 203 00:11:43,520 --> 00:11:46,720 Speaker 1: a tremendously powerful thing. I learned a cool fact about sound. 204 00:11:46,760 --> 00:11:50,760 Speaker 1: This is a total tangent. Okay, So this came to 205 00:11:50,840 --> 00:11:53,720 Speaker 1: us from Will Pearson, a friend of the show and 206 00:11:53,840 --> 00:11:57,440 Speaker 1: a host of our podcast, Part Time Genius. Will kicked 207 00:11:57,480 --> 00:12:01,480 Speaker 1: a couple of studies to us that showed sound can 208 00:12:01,520 --> 00:12:05,040 Speaker 1: affect your experiences in subconscious ways. They don't that you 209 00:12:05,160 --> 00:12:07,680 Speaker 1: are not going to be aware of if you're eating, 210 00:12:07,720 --> 00:12:12,199 Speaker 1: for instance, stale pringles potato chips, and someone is playing 211 00:12:12,240 --> 00:12:16,400 Speaker 1: the sounds of some trunchy thing, then your brain will 212 00:12:16,440 --> 00:12:20,880 Speaker 1: believe that the chips themselves are fresh and not stale brilliant. 213 00:12:21,280 --> 00:12:24,720 Speaker 1: And this is it's so easy to affect people's sensory input. 214 00:12:24,800 --> 00:12:28,040 Speaker 1: But here's what happened when you If you read those 215 00:12:28,080 --> 00:12:32,280 Speaker 1: words that we just intuned, then you may notice that 216 00:12:32,320 --> 00:12:35,120 Speaker 1: your eyes paused for a fraction of a second on 217 00:12:35,280 --> 00:12:39,080 Speaker 1: certain words. And this this is definitely true for most 218 00:12:39,080 --> 00:12:42,000 Speaker 1: of us because we put in some phrases that could 219 00:12:42,080 --> 00:12:47,760 Speaker 1: be considered oppositional right, Democrat, republican, same sex marriage, et cetera. 220 00:12:48,320 --> 00:12:50,960 Speaker 1: These these things can be divisive for some people in 221 00:12:51,000 --> 00:12:55,760 Speaker 1: the US. And probably what was happening was our brains 222 00:12:55,760 --> 00:12:58,960 Speaker 1: as we read along, we're trying to connect these things, 223 00:12:59,080 --> 00:13:01,959 Speaker 1: even though they just exist independently, right as fragments of 224 00:13:02,000 --> 00:13:05,240 Speaker 1: a sentence. But did your pupils dialate a little bit 225 00:13:05,360 --> 00:13:07,960 Speaker 1: when you were reading the list? At which word you know? 226 00:13:08,040 --> 00:13:10,280 Speaker 1: Did you blink at a different rate? Did you backtrack 227 00:13:10,360 --> 00:13:13,320 Speaker 1: to reread any words? And if so, which ones, when 228 00:13:13,480 --> 00:13:17,120 Speaker 1: and how long? Eye tracking can show you all of this. 229 00:13:17,240 --> 00:13:21,000 Speaker 1: If you are an advertiser or even more disturbingly, a government. 230 00:13:21,480 --> 00:13:25,080 Speaker 1: This concept has also been called the Holy Grail of advertising. 231 00:13:25,440 --> 00:13:28,280 Speaker 1: It uses the image from one or more cameras to 232 00:13:28,400 --> 00:13:32,640 Speaker 1: capture changes in movements and structure of our eyes, and 233 00:13:32,640 --> 00:13:35,839 Speaker 1: it can measure all of these things with scary or 234 00:13:35,920 --> 00:13:39,680 Speaker 1: welly and accuracy. Yeah, that's where we're at right now. 235 00:13:40,800 --> 00:13:46,040 Speaker 1: That's that's right now. It hasn't it hasn't really mainstreamed yet. Well, yeah, 236 00:13:46,080 --> 00:13:50,760 Speaker 1: it's it's still one of those um technologies and approaches 237 00:13:51,640 --> 00:13:55,199 Speaker 1: that you basically have to do it in an environment 238 00:13:55,200 --> 00:13:58,360 Speaker 1: where you're testing right now, because can you imagine right now, 239 00:13:58,480 --> 00:14:02,360 Speaker 1: if say everyone right now that has an Apple phone 240 00:14:02,480 --> 00:14:04,640 Speaker 1: some kind of Apple phone, it just rolls out and 241 00:14:04,679 --> 00:14:06,560 Speaker 1: the Apple lets you know, hey, just so you know, 242 00:14:06,640 --> 00:14:08,560 Speaker 1: your front facing camera is going to be watching you 243 00:14:08,640 --> 00:14:11,240 Speaker 1: at all times. Whenever you're looking at your phone, it's 244 00:14:11,240 --> 00:14:13,680 Speaker 1: gonna be tracking exactly what your eyes are doing, and 245 00:14:13,720 --> 00:14:15,520 Speaker 1: it's going to be taking that data and sending it 246 00:14:15,520 --> 00:14:18,320 Speaker 1: back to Apple. Do you think they'll keep Siri as 247 00:14:18,360 --> 00:14:20,240 Speaker 1: the branding or do you think they'll make a new 248 00:14:21,400 --> 00:14:25,720 Speaker 1: ostensibly friendly entity for that. It's like, you know, every 249 00:14:25,760 --> 00:14:28,160 Speaker 1: time you pull up your phone if you don't have 250 00:14:28,200 --> 00:14:31,120 Speaker 1: time to type, don't worry. Danny can tell what you're 251 00:14:31,120 --> 00:14:33,800 Speaker 1: looking at, and Dannie will help you. I feel like 252 00:14:33,840 --> 00:14:35,920 Speaker 1: Siri has been looked at. It's kind of a flop anyway, 253 00:14:35,960 --> 00:14:38,240 Speaker 1: so maybe it's time to rebrand. Syria has been doing 254 00:14:38,280 --> 00:14:40,640 Speaker 1: some great work for memes though, is that right? Yeah, 255 00:14:41,200 --> 00:14:43,800 Speaker 1: just like the meme economy. I don't know. I don't 256 00:14:43,800 --> 00:14:49,440 Speaker 1: know any Siri memes. I don't use siris. So wait, okay, 257 00:14:50,320 --> 00:14:54,360 Speaker 1: that's I'm trying to think about your question with uh 258 00:14:54,560 --> 00:14:58,240 Speaker 1: Sirian what's gonna be? And it definitely, it definitely feels 259 00:14:58,240 --> 00:15:00,240 Speaker 1: like a Black Mirror episode. We were just talking with 260 00:15:00,280 --> 00:15:03,920 Speaker 1: our producers out there, um my in Seth by the way, 261 00:15:04,680 --> 00:15:09,400 Speaker 1: Shadow producer Seth Seth, it's literally his first day. It's 262 00:15:09,440 --> 00:15:11,960 Speaker 1: his first day, yeah, and we were talking with him 263 00:15:12,000 --> 00:15:15,120 Speaker 1: about how Black Mirror this, this topic in this episode 264 00:15:15,200 --> 00:15:17,720 Speaker 1: is um oh, I'm trying to get back to what 265 00:15:17,800 --> 00:15:19,360 Speaker 1: I was going to talk about. I got lost on 266 00:15:19,400 --> 00:15:22,400 Speaker 1: Seth there for saying okay, so, um, we were just 267 00:15:22,640 --> 00:15:27,720 Speaker 1: we were discussing how Siri as a thing feels like 268 00:15:27,800 --> 00:15:30,920 Speaker 1: it will be what the new phone is. It won't 269 00:15:30,920 --> 00:15:34,320 Speaker 1: be like a phone it will be a serie. Does 270 00:15:34,360 --> 00:15:38,600 Speaker 1: that make sense? Yes? Yes, UM, some kind of personified 271 00:15:39,360 --> 00:15:43,040 Speaker 1: UM thing that exists that you just interact with as 272 00:15:43,080 --> 00:15:46,880 Speaker 1: another being, something approaching AI as a personal assistant. That's 273 00:15:46,880 --> 00:15:48,400 Speaker 1: what it feels like. But it will just be that 274 00:15:48,560 --> 00:15:50,560 Speaker 1: the device you have on you at all time, and 275 00:15:50,840 --> 00:15:55,040 Speaker 1: eye tracking would be a fundamental piece of that. Again, 276 00:15:55,200 --> 00:15:59,640 Speaker 1: this stuff is not a theory. This is not necessarily alarmist. 277 00:15:59,680 --> 00:16:03,480 Speaker 1: Where we're aking. We're working to stay away from being 278 00:16:03,520 --> 00:16:07,960 Speaker 1: too too scary about this, but this is where we 279 00:16:08,000 --> 00:16:11,640 Speaker 1: are right now, and will pause for a word from 280 00:16:11,680 --> 00:16:15,960 Speaker 1: our sponsors, and we'll tell you what's happening pretty soon, 281 00:16:16,080 --> 00:16:18,520 Speaker 1: sooner than you think. Yeah, make sure you do not pause. 282 00:16:18,600 --> 00:16:20,440 Speaker 1: Just listen all the way through this and keep your 283 00:16:20,440 --> 00:16:23,520 Speaker 1: eyes as open and stares for as straight as you 284 00:16:23,560 --> 00:16:26,880 Speaker 1: can forward while listening to the sponsor. Take your take 285 00:16:26,920 --> 00:16:29,720 Speaker 1: your hands, take your pointer, fingers in your thumbs, and 286 00:16:30,400 --> 00:16:34,320 Speaker 1: whole ratchet open and let's see where everybody is. I 287 00:16:34,360 --> 00:16:36,920 Speaker 1: feel silly. No one can see us doing that. We 288 00:16:36,960 --> 00:16:49,160 Speaker 1: both did it. We're back. And before we vilify eye tracking, 289 00:16:50,200 --> 00:16:53,040 Speaker 1: which you know, honestly I am totally down to do, 290 00:16:53,680 --> 00:16:57,520 Speaker 1: we should mention that it's not an inherently evil or 291 00:16:57,680 --> 00:17:01,120 Speaker 1: bad thing. Right. There are some advantages yeah, so, um 292 00:17:01,200 --> 00:17:04,320 Speaker 1: for folks who are into this technology. Um, there is 293 00:17:04,320 --> 00:17:07,960 Speaker 1: an enormous benefit for people who have disabilities, or for example, 294 00:17:08,400 --> 00:17:12,679 Speaker 1: the creation of immersive games. But how far does it 295 00:17:12,720 --> 00:17:15,720 Speaker 1: go and what are the implications? Um? These are the 296 00:17:15,720 --> 00:17:21,520 Speaker 1: answers that may disturb you. Definitely, here's where it gets crazy. 297 00:17:21,560 --> 00:17:25,280 Speaker 1: You're absolutely right. Okay, First, the argument about disabilities is 298 00:17:26,359 --> 00:17:31,080 Speaker 1: entirely compelling and valid. If someone is, for example, paralyzed 299 00:17:31,359 --> 00:17:35,879 Speaker 1: below their neck, then they'll rely on mouth movements maybe 300 00:17:36,080 --> 00:17:39,199 Speaker 1: or uh, there are already forms of eye tracking. I 301 00:17:39,240 --> 00:17:42,879 Speaker 1: believe that exists in order for them to maybe type 302 00:17:43,000 --> 00:17:45,159 Speaker 1: with their eyes or something like that. This takes it 303 00:17:45,200 --> 00:17:50,600 Speaker 1: to another level and it could be of tremendous and 304 00:17:50,640 --> 00:17:54,240 Speaker 1: significant benefit to to these people. It also is, as 305 00:17:54,240 --> 00:17:56,679 Speaker 1: you said, no, it's it's probably great for VR games. 306 00:17:58,080 --> 00:18:02,040 Speaker 1: I haven't tried it, but it could be incredible instead 307 00:18:03,840 --> 00:18:05,720 Speaker 1: would make a lot of sense. Also, I just don't 308 00:18:05,760 --> 00:18:08,520 Speaker 1: I don't plan to. I wear sunglasses all the time, 309 00:18:08,520 --> 00:18:11,240 Speaker 1: but it's not because the lights are too bright. It's 310 00:18:11,240 --> 00:18:13,800 Speaker 1: because I already in real life don't want people to 311 00:18:13,880 --> 00:18:16,240 Speaker 1: know where I'm looking you know what I mean. I 312 00:18:16,280 --> 00:18:19,639 Speaker 1: can't handle taking that to a digital realm. It's all 313 00:18:19,720 --> 00:18:22,920 Speaker 1: good man, Well here we are right now. Eye tracking 314 00:18:23,280 --> 00:18:28,120 Speaker 1: seemed like a lovely, nice convenience. But the implications are 315 00:18:28,240 --> 00:18:33,359 Speaker 1: far reaching and too many, deeply disturbing and deeply concerning 316 00:18:33,400 --> 00:18:35,800 Speaker 1: at the very least. And we're always really careful to 317 00:18:35,840 --> 00:18:39,360 Speaker 1: separate our opinions from the facts, so I will say it. 318 00:18:39,800 --> 00:18:42,040 Speaker 1: We always try to be very explicit about this. It 319 00:18:42,160 --> 00:18:45,800 Speaker 1: is my opinion that this is a bad thing, and 320 00:18:46,280 --> 00:18:49,919 Speaker 1: I'm glad to I'm glad to defend why if, because 321 00:18:49,960 --> 00:18:51,679 Speaker 1: usually the three of us are on the same page. 322 00:18:51,720 --> 00:18:55,040 Speaker 1: But if there's a disagreement, I am glad. I am 323 00:18:55,080 --> 00:18:57,840 Speaker 1: glad you're I want to be persuaded that this is 324 00:18:57,920 --> 00:19:00,119 Speaker 1: overall a good thing. I don't buy it. Okay, Well, 325 00:19:00,119 --> 00:19:03,400 Speaker 1: I'm gonna go into it as though, just for funzies 326 00:19:03,440 --> 00:19:06,560 Speaker 1: that I believe that it's the greatest thing ever and 327 00:19:06,640 --> 00:19:10,000 Speaker 1: we have to institute it just to make sure that 328 00:19:10,119 --> 00:19:12,320 Speaker 1: we know everything about you that we need to know 329 00:19:13,200 --> 00:19:17,600 Speaker 1: that we need to know us well. First things first, 330 00:19:17,640 --> 00:19:20,560 Speaker 1: as we said, this isn't theoretical, it is happening. There 331 00:19:20,640 --> 00:19:26,720 Speaker 1: is virtually no government oversight. Zero government oversight sounds good, 332 00:19:26,760 --> 00:19:29,680 Speaker 1: sounds like something the private entities want, and that's a 333 00:19:29,840 --> 00:19:32,800 Speaker 1: that's I mean, that's a larger trend we're seeing, you know, 334 00:19:33,000 --> 00:19:37,680 Speaker 1: private private control or private subversion of things that once 335 00:19:37,720 --> 00:19:43,200 Speaker 1: existed as legal oversight in the governmental sphere. For example, 336 00:19:43,400 --> 00:19:45,399 Speaker 1: there used to be the do not call list. Do 337 00:19:45,440 --> 00:19:47,720 Speaker 1: you guys remember that I was on it? It's still 338 00:19:47,760 --> 00:19:49,840 Speaker 1: a thing, right, it is? But does it work? And 339 00:19:49,880 --> 00:19:52,520 Speaker 1: now I guess it doesn't doesn't. I mean I've had 340 00:19:52,520 --> 00:19:55,040 Speaker 1: people who you know, when you call and it's a human. 341 00:19:55,040 --> 00:19:57,199 Speaker 1: That's the problem though right now, more more often than not, 342 00:19:57,280 --> 00:19:59,000 Speaker 1: it's a robot. So you can't really yell at a 343 00:19:59,080 --> 00:20:01,760 Speaker 1: robot and say put me on you do not call list? Right, Yeah, 344 00:20:01,800 --> 00:20:06,240 Speaker 1: exactly right? And we have to ask ourselves, does the 345 00:20:06,359 --> 00:20:09,760 Speaker 1: do not call lists still exists? I mean, things are 346 00:20:09,880 --> 00:20:13,480 Speaker 1: These kinds of intrusions are becoming more and more frequent 347 00:20:13,640 --> 00:20:19,399 Speaker 1: and more and more invasive, and really private industry US 348 00:20:19,560 --> 00:20:23,160 Speaker 1: is leading the charge. Apple has filed a patent for 349 00:20:23,200 --> 00:20:27,240 Speaker 1: a three dimensional eye tracking user interface. There's a European 350 00:20:27,280 --> 00:20:31,080 Speaker 1: company called uh Sense. I get it because it's like 351 00:20:31,119 --> 00:20:35,159 Speaker 1: a it's like an eye. It worked on that it 352 00:20:35,240 --> 00:20:40,399 Speaker 1: wants to have eye tracking software baked into smartphones very soon. 353 00:20:40,840 --> 00:20:44,920 Speaker 1: And as this stuff becomes increasingly deployed in your laptops 354 00:20:44,920 --> 00:20:49,320 Speaker 1: and your tablets, in your phones and your TVs, in 355 00:20:49,400 --> 00:20:54,760 Speaker 1: your freezer, your smart refrigerator. Yeah, this will open a 356 00:20:54,800 --> 00:20:59,160 Speaker 1: new front in the debate over privacy. As it stands now, 357 00:20:59,240 --> 00:21:03,120 Speaker 1: privacy is very much an endangered species. Yeah, we talked 358 00:21:03,160 --> 00:21:05,960 Speaker 1: about it as a good thing with respect to virtual 359 00:21:06,000 --> 00:21:09,520 Speaker 1: reality game playing or whatever. However else you're gonna be 360 00:21:09,640 --> 00:21:13,000 Speaker 1: using VR or a R glasses like the old Google 361 00:21:13,080 --> 00:21:16,440 Speaker 1: glass or some of the new prototypes that are coming out. Um, 362 00:21:16,640 --> 00:21:19,480 Speaker 1: eye tracking will pretty much in the near future enable 363 00:21:19,520 --> 00:21:24,200 Speaker 1: all these companies to collect your most intimate in I mean, 364 00:21:24,240 --> 00:21:28,600 Speaker 1: for the most part, subconscious or unconscious responses to the 365 00:21:28,840 --> 00:21:32,360 Speaker 1: entire world around you, any and all stimuli. They will 366 00:21:32,400 --> 00:21:35,880 Speaker 1: have cameras facing at you so long and at all 367 00:21:35,960 --> 00:21:40,760 Speaker 1: times that literally everything you encounter will be recorded. I 368 00:21:40,760 --> 00:21:43,840 Speaker 1: thought we weren't going to go dystopian this type around. Well, 369 00:21:43,880 --> 00:21:49,760 Speaker 1: I mean, unfortunately, this is this is okay. I'm supposed 370 00:21:49,800 --> 00:21:52,000 Speaker 1: to be the part of the one who's positive for this, right, 371 00:21:52,440 --> 00:21:55,479 Speaker 1: I'm not gonna have any kind of existential breakdown right 372 00:21:55,480 --> 00:21:58,080 Speaker 1: now about this, It's fine, Um, I'll do it. We 373 00:21:58,119 --> 00:21:59,960 Speaker 1: can switch sides if you want, you can we switch side? 374 00:22:00,840 --> 00:22:03,320 Speaker 1: Okay here, Uh, let's see. Let me take a swing 375 00:22:03,359 --> 00:22:06,720 Speaker 1: at this on the positive side. All right, So I 376 00:22:06,920 --> 00:22:12,159 Speaker 1: tracking technology. My position now is that it's great, is superb, 377 00:22:12,640 --> 00:22:17,760 Speaker 1: it's a it's top notch because it helps advertising become 378 00:22:17,800 --> 00:22:20,760 Speaker 1: more effective. Okay, So I'm only going to see the 379 00:22:20,760 --> 00:22:24,960 Speaker 1: ads that really do pertain or interest to me. Right. So, 380 00:22:25,080 --> 00:22:28,000 Speaker 1: you're looking at your phone, or you're looking at your 381 00:22:28,040 --> 00:22:33,800 Speaker 1: tablet or your laptop, and advertisers received this feedback that say, oh, 382 00:22:33,880 --> 00:22:37,760 Speaker 1: Matt Frederick's eyes lingered for a few seconds on an advertisement, 383 00:22:38,119 --> 00:22:40,480 Speaker 1: but then he didn't click on it. So how does 384 00:22:40,520 --> 00:22:44,400 Speaker 1: he really feel about, you know, toilet seats or corvettes? Uh? 385 00:22:44,560 --> 00:22:48,080 Speaker 1: How did Matt's eyes move as he looked at an ad? 386 00:22:48,080 --> 00:22:50,679 Speaker 1: What did he look at first? Should we prioritize that 387 00:22:50,760 --> 00:22:52,920 Speaker 1: in the future, right to bring the corvette more in 388 00:22:52,960 --> 00:22:57,520 Speaker 1: the forefront. Are there certain words, phrases or topics that 389 00:22:57,680 --> 00:23:01,560 Speaker 1: are that are things Matt for Drenk loves or there 390 00:23:01,560 --> 00:23:04,040 Speaker 1: are things that are super like turnoffs for him, like 391 00:23:04,080 --> 00:23:07,600 Speaker 1: whenever he sees something that mentions velcro, He's like screw this, 392 00:23:08,520 --> 00:23:12,520 Speaker 1: burn the system down, I'm going outside, yeah, or pickled 393 00:23:12,560 --> 00:23:15,280 Speaker 1: okra like get out of here, get out of here. 394 00:23:15,480 --> 00:23:17,880 Speaker 1: Just don't even put that on my phone. So then 395 00:23:17,920 --> 00:23:21,480 Speaker 1: this means that successive ad campaigns will be more tailored 396 00:23:21,640 --> 00:23:25,240 Speaker 1: to you. The argument on paper is probably something like 397 00:23:25,520 --> 00:23:29,560 Speaker 1: they're more organic, or they're integrated, or that wait, I'm 398 00:23:29,600 --> 00:23:33,639 Speaker 1: going back to my real side, hang on, or they're 399 00:23:33,720 --> 00:23:37,840 Speaker 1: they're less invasive because it's something that you are predispositioned 400 00:23:38,080 --> 00:23:41,080 Speaker 1: to show an interest in. Okay, all right, well I'm 401 00:23:41,200 --> 00:23:44,200 Speaker 1: I'm coming back on your side now. So when when 402 00:23:44,320 --> 00:23:47,720 Speaker 1: companies are trying to figure out what kinds of stories 403 00:23:47,840 --> 00:23:50,600 Speaker 1: we want to hear, about what kinds of movies and 404 00:23:50,640 --> 00:23:53,359 Speaker 1: television should be produced, they can think about all of 405 00:23:53,400 --> 00:23:57,320 Speaker 1: these different things in a giant cloud of words and 406 00:23:57,440 --> 00:24:00,840 Speaker 1: phrases that they can mix together and make me the 407 00:24:00,880 --> 00:24:04,320 Speaker 1: stories that I want to see. That's great. And the 408 00:24:04,400 --> 00:24:08,200 Speaker 1: way they're able to do this is through the collection 409 00:24:08,480 --> 00:24:12,440 Speaker 1: and preservation, the hoarding and be fair to say, of 410 00:24:12,480 --> 00:24:17,240 Speaker 1: the data they collect from the again largely unconscious movement 411 00:24:17,400 --> 00:24:21,479 Speaker 1: of your eyes and largely uncontrollable. So we're talking about 412 00:24:21,960 --> 00:24:26,760 Speaker 1: millions of people's eyeball footprints for lack of a better word, 413 00:24:27,119 --> 00:24:31,520 Speaker 1: and then hundreds, probably thousands of companies in the in 414 00:24:31,560 --> 00:24:34,800 Speaker 1: the near to mid future who will collect this across 415 00:24:34,960 --> 00:24:39,679 Speaker 1: the digital ecosystem. What will they do with all that information? 416 00:24:40,760 --> 00:24:46,120 Speaker 1: Whatever they want? That is that is ultimately the answer. 417 00:24:46,200 --> 00:24:49,359 Speaker 1: That's probably. I mean, there there will be people who 418 00:24:49,800 --> 00:24:52,760 Speaker 1: want to split some hairs over it, but ultimately whatever 419 00:24:52,800 --> 00:24:54,600 Speaker 1: they want. It's like anything else on the internet, right, 420 00:24:54,600 --> 00:24:57,080 Speaker 1: I mean, it's all of the stuff that you pump 421 00:24:57,160 --> 00:25:00,119 Speaker 1: into Facebook knowingly knowing that that is what pays or 422 00:25:00,119 --> 00:25:02,640 Speaker 1: your privilege to use Facebook. It's just gonna get more 423 00:25:02,640 --> 00:25:04,720 Speaker 1: and more specific. Before you know it. We're gonna have 424 00:25:04,800 --> 00:25:09,159 Speaker 1: like biometric scanning that we're agreeing to allow be processed, 425 00:25:09,160 --> 00:25:10,800 Speaker 1: and we have no way of knowing what the end 426 00:25:10,840 --> 00:25:12,879 Speaker 1: results are the end user is going to do with 427 00:25:12,920 --> 00:25:16,359 Speaker 1: that information. Anybody that works at malship already gave this 428 00:25:16,480 --> 00:25:20,160 Speaker 1: stuff over Well, that's the thing too, Like for example, 429 00:25:20,280 --> 00:25:22,880 Speaker 1: this is a little bit off the subject, but it's 430 00:25:22,880 --> 00:25:26,560 Speaker 1: similar like when marijuana was recreationally legalized for the first time, 431 00:25:26,560 --> 00:25:28,760 Speaker 1: like in Los Angeles, and probably even when it was 432 00:25:29,160 --> 00:25:32,960 Speaker 1: you know, prescription you had to let them scan your 433 00:25:32,960 --> 00:25:34,399 Speaker 1: I D. You had to let them scan your I 434 00:25:34,480 --> 00:25:37,160 Speaker 1: D into some database, and you don't really have any 435 00:25:37,160 --> 00:25:39,239 Speaker 1: control over what they do with that. It gives you 436 00:25:39,280 --> 00:25:42,760 Speaker 1: the privilege of buying marijuana legally, but you're sort of 437 00:25:42,840 --> 00:25:44,600 Speaker 1: rolling the dice as to is this going to come 438 00:25:44,600 --> 00:25:46,040 Speaker 1: back and bite me in the ass if it's not 439 00:25:46,119 --> 00:25:48,560 Speaker 1: legal in my state. Like, there's all kinds of different things. 440 00:25:48,760 --> 00:25:51,959 Speaker 1: What if you get a job at a federal organization. 441 00:25:52,840 --> 00:25:54,480 Speaker 1: You know, you know they're doing the same thing with 442 00:25:54,560 --> 00:25:57,960 Speaker 1: nicotine sales in Georgia right now, or at least they're 443 00:25:58,119 --> 00:26:00,800 Speaker 1: proposing And I think it's not a faficially in place yat, 444 00:26:00,840 --> 00:26:03,159 Speaker 1: but it's being done in some places here in Georgia 445 00:26:03,200 --> 00:26:05,479 Speaker 1: where if you buy any nicotine product, they scan your 446 00:26:05,520 --> 00:26:07,960 Speaker 1: I D. And imagine the implications of that. Then it 447 00:26:07,960 --> 00:26:11,240 Speaker 1: goes back to your healthcare provider ing and all of that. 448 00:26:12,200 --> 00:26:15,720 Speaker 1: It's like Flannery O'Connor said, all all that rises must converge, right, 449 00:26:16,359 --> 00:26:20,080 Speaker 1: but now in a really uncool way. Sorry Flannery. Yes, 450 00:26:20,240 --> 00:26:25,320 Speaker 1: but also so this is this is true, and that's 451 00:26:25,359 --> 00:26:29,199 Speaker 1: an excellent point. The purpose is to aggregate this and 452 00:26:29,240 --> 00:26:35,600 Speaker 1: get as close to predictive potential as possible. In theory, 453 00:26:36,280 --> 00:26:40,160 Speaker 1: this stuff would be anonymous data they would they would 454 00:26:40,200 --> 00:26:43,080 Speaker 1: describe as non personal. But in practice it's going to 455 00:26:43,160 --> 00:26:47,040 Speaker 1: be very easy to penetrate the anonymity of that because 456 00:26:47,080 --> 00:26:50,240 Speaker 1: think about it, your eye movements will be largely unique. 457 00:26:51,280 --> 00:26:53,720 Speaker 1: They will be largely tied to a device that is 458 00:26:53,800 --> 00:26:58,160 Speaker 1: already identified with you, your smartphone, right when the GPS. 459 00:26:58,359 --> 00:27:00,920 Speaker 1: The GPS is trackable as well, so they know where 460 00:27:00,920 --> 00:27:03,119 Speaker 1: you are when you're looking at things. Uh, sort of 461 00:27:03,119 --> 00:27:07,040 Speaker 1: like Uber, I believe it was. Uber is using some 462 00:27:07,160 --> 00:27:11,359 Speaker 1: of that same technology to float the idea of a 463 00:27:11,760 --> 00:27:15,400 Speaker 1: system or a function in their software where they can 464 00:27:15,560 --> 00:27:18,679 Speaker 1: not pick up people who have been drinking, which to 465 00:27:18,720 --> 00:27:20,520 Speaker 1: me sort of defeats the purpose of a lot of 466 00:27:20,600 --> 00:27:24,359 Speaker 1: Uber rights. But they can see and they'll say, okay, well, 467 00:27:24,400 --> 00:27:26,920 Speaker 1: this person is calling, this person is calling a ride, 468 00:27:27,240 --> 00:27:29,320 Speaker 1: but their phone says they've been at this place for 469 00:27:29,440 --> 00:27:33,240 Speaker 1: you know, three hours and it's a bar or something, 470 00:27:33,720 --> 00:27:36,280 Speaker 1: and you're just like, I'm not picking up that drunk patent, 471 00:27:36,600 --> 00:27:40,119 Speaker 1: right or something like that. But again, that's what Uber 472 00:27:40,200 --> 00:27:43,159 Speaker 1: drivers and Uber customers have signed on for them, just 473 00:27:43,200 --> 00:27:45,920 Speaker 1: saying there's a lot that we can get from phones 474 00:27:45,960 --> 00:27:50,280 Speaker 1: and these other similar devices and that you might not suspect. 475 00:27:50,320 --> 00:27:53,639 Speaker 1: And now this is going to this is going to 476 00:27:53,720 --> 00:27:58,640 Speaker 1: kick it up to an entirely new level. Eye tracking 477 00:27:58,680 --> 00:28:01,880 Speaker 1: from tablets and smartphones is tied to a unique device 478 00:28:02,040 --> 00:28:06,520 Speaker 1: identifier associated with one specific device. So maybe they don't 479 00:28:06,520 --> 00:28:08,560 Speaker 1: know that your full name is Noel Brown or Matt 480 00:28:08,640 --> 00:28:15,440 Speaker 1: Frederick or Michael, but but but they they will know 481 00:28:15,880 --> 00:28:18,520 Speaker 1: that it is you know, uh an a T and 482 00:28:18,560 --> 00:28:22,680 Speaker 1: T iPhone six s or whatever, and they'll know where 483 00:28:22,720 --> 00:28:26,280 Speaker 1: it is and they'll know where it is. So because 484 00:28:26,359 --> 00:28:31,520 Speaker 1: this ties into location tracking information, it can also tie 485 00:28:31,560 --> 00:28:34,600 Speaker 1: to the locations that you show up at all the time. Right, 486 00:28:35,280 --> 00:28:38,200 Speaker 1: most of these studies are being on this I track 487 00:28:38,240 --> 00:28:42,440 Speaker 1: and stuff are being conducted in closed environments, but the 488 00:28:42,520 --> 00:28:45,240 Speaker 1: technology is already it's already been out there. What we're 489 00:28:45,240 --> 00:28:48,560 Speaker 1: telling you about is not just happening. It already happened. 490 00:28:49,040 --> 00:28:53,960 Speaker 1: All those rumors that you've been reading about regarding Facebook's 491 00:28:54,080 --> 00:28:58,000 Speaker 1: microphone being on or something like that, Uh, it's quite 492 00:28:58,000 --> 00:29:02,640 Speaker 1: possible that you already knowingly have an app or some 493 00:29:02,680 --> 00:29:06,760 Speaker 1: piece of software on some electronic device that is trying 494 00:29:06,840 --> 00:29:10,200 Speaker 1: to do something like this with your eyes. Yeah. And 495 00:29:10,600 --> 00:29:14,080 Speaker 1: you know, just as Ben said, when we come back 496 00:29:14,160 --> 00:29:16,400 Speaker 1: after this quick sponsor break, we're going to talk about 497 00:29:16,400 --> 00:29:21,040 Speaker 1: how towards the end there, how this is. This is 498 00:29:21,120 --> 00:29:25,120 Speaker 1: literally like one tiny cut right of the thousand cuts 499 00:29:25,320 --> 00:29:30,640 Speaker 1: that we're giving ourselves that will eventually bring about the 500 00:29:30,680 --> 00:29:36,440 Speaker 1: Gray Goo, Great Goose. I'm just kidding the don't worry. 501 00:29:36,560 --> 00:29:40,240 Speaker 1: I'm just I'm just saying that, um, the machines will 502 00:29:40,280 --> 00:29:41,960 Speaker 1: be taking of a really soon and eye tracking is 503 00:29:41,960 --> 00:29:54,520 Speaker 1: just one tiny part. Here's our sponsor, the Singularity Rights. Yeah, nanobots, 504 00:29:54,920 --> 00:29:58,240 Speaker 1: we're talking about premium vodka. Here. Jen's the Gray Goole, 505 00:29:58,480 --> 00:30:00,520 Speaker 1: the Great Goose, the Great Google, the Goose. You gotta 506 00:30:00,520 --> 00:30:04,200 Speaker 1: get that goose, get goosed. You're here first. If you've 507 00:30:04,240 --> 00:30:08,640 Speaker 1: never heard of vodka, Okay, let's potato juice, right, yeah, yeah, yeah, 508 00:30:08,640 --> 00:30:12,360 Speaker 1: it said sweet sweet, sweet sweet moscow potato juice. Let's 509 00:30:12,400 --> 00:30:14,600 Speaker 1: just start calling vodka that. Can we call it moscow 510 00:30:14,640 --> 00:30:18,080 Speaker 1: potato juice. Drink responsibly and only if you're over twenty 511 00:30:18,080 --> 00:30:21,440 Speaker 1: one or wherever the legal ages and whatever country you reside, 512 00:30:21,960 --> 00:30:23,600 Speaker 1: or if you're in if you're in Russia and whatever 513 00:30:23,640 --> 00:30:26,880 Speaker 1: age or don't drink alcohol that's also I think that 514 00:30:27,520 --> 00:30:32,080 Speaker 1: cranberry juice. You can just eat the potato. I feel 515 00:30:32,120 --> 00:30:35,120 Speaker 1: like we helped a lot of people with that. That's good. 516 00:30:35,360 --> 00:30:37,040 Speaker 1: Could be a shirt guy. I like that you can 517 00:30:37,080 --> 00:30:39,840 Speaker 1: just eat the potato. Hey, guys, where did where did 518 00:30:39,840 --> 00:30:42,560 Speaker 1: your eyes go? When when we just started talking about 519 00:30:42,560 --> 00:30:45,720 Speaker 1: potatoes and vodka and all that stuff. Where what happened 520 00:30:45,720 --> 00:30:47,840 Speaker 1: to your eyes? We need to know? Send us your 521 00:30:47,960 --> 00:30:52,520 Speaker 1: your metrics please wow? Oh please feel free to not 522 00:30:52,600 --> 00:30:56,160 Speaker 1: do that, okay, because we don't want to be held responsible. 523 00:30:56,400 --> 00:30:59,440 Speaker 1: It turns out that there are many applications for this 524 00:30:59,520 --> 00:31:06,040 Speaker 1: eye tracking technology, and this is incredibly dicey, ethically fraught territory. 525 00:31:06,080 --> 00:31:08,520 Speaker 1: We talked about cracking privacy. It's gonna be easier than 526 00:31:08,560 --> 00:31:12,320 Speaker 1: ever once this stuff is out in mainstreams and it's 527 00:31:12,400 --> 00:31:15,680 Speaker 1: it's fully acknowledged as the new normal. You're just gonna 528 00:31:15,760 --> 00:31:18,400 Speaker 1: have to treat everything you do as though it is 529 00:31:18,440 --> 00:31:22,520 Speaker 1: a matter of public record, at least online. But there's 530 00:31:22,600 --> 00:31:25,480 Speaker 1: another more troubling thing I would I would argue, which 531 00:31:25,560 --> 00:31:29,000 Speaker 1: is the concept of pre crime. Remember Minority Report. Yes, 532 00:31:29,960 --> 00:31:32,520 Speaker 1: this could that, this could happen. As a matter of fact, 533 00:31:32,840 --> 00:31:37,880 Speaker 1: it is happening That's the thing that I keep trying 534 00:31:37,920 --> 00:31:40,320 Speaker 1: to emphasize here to the gray goo. You're talking about 535 00:31:40,320 --> 00:31:42,680 Speaker 1: the the goo that the precogs are floating around in. 536 00:31:42,880 --> 00:31:45,520 Speaker 1: That's it, is it? No? No, I was talking about 537 00:31:45,560 --> 00:31:50,000 Speaker 1: the nano essentially, the just the nano nanobots functioning as 538 00:31:50,080 --> 00:31:53,280 Speaker 1: like the Philosopher's stone. Right, it's transformed, you can it 539 00:31:53,320 --> 00:31:55,600 Speaker 1: can create whatever it wants, but it could also just 540 00:31:55,720 --> 00:31:59,920 Speaker 1: cover the earth of it continues to replicate without any controller. 541 00:32:00,080 --> 00:32:03,280 Speaker 1: Where's the Google. It's like a gray substance, like a 542 00:32:03,360 --> 00:32:08,960 Speaker 1: gooey substance of nanobots. They just it's a thought. Yeah, 543 00:32:09,360 --> 00:32:14,160 Speaker 1: it's not real yet yet, but we do know that. 544 00:32:14,640 --> 00:32:16,600 Speaker 1: Oh wait, we have to do my When did Minority 545 00:32:16,640 --> 00:32:22,560 Speaker 1: Report come out? Statute? Okay, early two thousand, so we're solid. 546 00:32:23,040 --> 00:32:26,720 Speaker 1: But anyway, spoiler alert here be spoilers after the countdown 547 00:32:26,920 --> 00:32:34,320 Speaker 1: three to one spoilers. So so a Minority Report and 548 00:32:34,440 --> 00:32:38,200 Speaker 1: we've all seen this film in case you haven't seen it, Uh, 549 00:32:38,440 --> 00:32:45,080 Speaker 1: Tom Cruise attempts to act as as a member of 550 00:32:45,160 --> 00:32:49,000 Speaker 1: law enforcement in the near future in a pre crime division. 551 00:32:49,760 --> 00:32:52,000 Speaker 1: And the way that the pre crime works is the 552 00:32:52,160 --> 00:32:56,120 Speaker 1: precognitive triplets that you you mentioned earlier. Right now, they 553 00:32:56,720 --> 00:32:59,680 Speaker 1: have these dreams while they float in this pool, and 554 00:32:59,720 --> 00:33:03,800 Speaker 1: they're dreams are inscribed on these little wooden balls, and 555 00:33:05,480 --> 00:33:09,520 Speaker 1: then Tom Cruise reads them and uh, and then attempts 556 00:33:09,520 --> 00:33:12,880 Speaker 1: to stop a crime before it occurs. Right now, that's 557 00:33:12,880 --> 00:33:15,240 Speaker 1: still kind of sci fi, but not as sci fi 558 00:33:15,280 --> 00:33:18,280 Speaker 1: as you might think, all the while manipulating things on 559 00:33:18,440 --> 00:33:22,760 Speaker 1: kind of a holographic touch screen, which is largely the 560 00:33:22,800 --> 00:33:26,200 Speaker 1: way we use tablets and stuff. Now that's sort of 561 00:33:26,240 --> 00:33:30,120 Speaker 1: pre precogged, you know, our use of touch screens. There 562 00:33:30,120 --> 00:33:33,480 Speaker 1: we go. Yeah, so where where are we at in 563 00:33:33,520 --> 00:33:35,720 Speaker 1: real life with pre crime? Yes, it is the thing. 564 00:33:37,080 --> 00:33:41,120 Speaker 1: We have to recognize that although companies and private organizations 565 00:33:41,120 --> 00:33:45,160 Speaker 1: will take the brunt of criticism for this, law enforcement 566 00:33:45,280 --> 00:33:48,080 Speaker 1: and security will have big roles to play. And this 567 00:33:48,240 --> 00:33:53,400 Speaker 1: becomes very dangerous when we talk about more harsh nation states. 568 00:33:53,840 --> 00:33:56,920 Speaker 1: Researchers in the US and the UK have mapped the 569 00:33:56,960 --> 00:34:02,440 Speaker 1: correlation between blink rates, pupil dilation, and deceptive statements already, 570 00:34:02,840 --> 00:34:07,240 Speaker 1: right this is like a polygraph of polygraph actually worked. 571 00:34:08,120 --> 00:34:11,240 Speaker 1: So the Department of Homeland Security has already been developing 572 00:34:11,280 --> 00:34:20,280 Speaker 1: a pre crime program aimed at identifying criminals before they act. Yikes, Seth, Yes, Seth, 573 00:34:22,040 --> 00:34:24,440 Speaker 1: we do it before you even got in the room. Buddy. 574 00:34:24,840 --> 00:34:27,319 Speaker 1: We're totally joking. Of course Seth is wonderful, although we 575 00:34:27,560 --> 00:34:30,400 Speaker 1: have only met him for the first time today. That's true, 576 00:34:30,520 --> 00:34:32,520 Speaker 1: but I feel a connection. I'm having like a cloud 577 00:34:32,520 --> 00:34:37,279 Speaker 1: outless moment. Okay, yeah, looking okay, maya solid the whole time, 578 00:34:37,280 --> 00:34:41,719 Speaker 1: I can tell. So, so it's true. Though. This DHS 579 00:34:41,800 --> 00:34:45,800 Speaker 1: program is called an a burst of creativity Future Attribute 580 00:34:45,840 --> 00:34:51,520 Speaker 1: Screening Technology or FAST. Uh that is for you. Hey, 581 00:34:51,560 --> 00:34:54,280 Speaker 1: thanks man, you know I'm a I'm a real acronym buff. 582 00:34:54,600 --> 00:34:56,680 Speaker 1: So what is FAST? What does it do? It's when 583 00:34:56,719 --> 00:35:01,320 Speaker 1: things move at an alarming rate of speed. Yes, essentially, 584 00:35:01,320 --> 00:35:03,960 Speaker 1: what's gonna be ha any here very soon. But yeah, 585 00:35:04,000 --> 00:35:08,880 Speaker 1: this program is designed to take images analyze them um 586 00:35:08,920 --> 00:35:14,040 Speaker 1: specifically at airport security checkpoints, which is already being instituted. 587 00:35:14,080 --> 00:35:16,360 Speaker 1: Those facial scans. Have you guys seen them? If you 588 00:35:16,560 --> 00:35:20,279 Speaker 1: if you travel fairly often as as we do here, 589 00:35:20,760 --> 00:35:23,719 Speaker 1: and then you'll notice they've become sort of the way 590 00:35:23,760 --> 00:35:27,359 Speaker 1: that sesame credit was originally instituted, it was opped in 591 00:35:27,840 --> 00:35:31,320 Speaker 1: and now it's mandatory. Yeah, and it's just to literally 592 00:35:31,360 --> 00:35:33,720 Speaker 1: scan your face, in your eyes, and what they're doing 593 00:35:33,920 --> 00:35:37,320 Speaker 1: as you're going through the airport and through the security 594 00:35:37,320 --> 00:35:39,799 Speaker 1: process and all the other things, just to see if 595 00:35:40,000 --> 00:35:42,600 Speaker 1: are they doing any kind of weird movement, Is there 596 00:35:42,640 --> 00:35:45,160 Speaker 1: any kind of like what's your what is your eye 597 00:35:45,200 --> 00:35:47,560 Speaker 1: position and your gaze at any given time? What are 598 00:35:47,560 --> 00:35:49,640 Speaker 1: you staring at? Are you looking at the security guards? 599 00:35:49,640 --> 00:35:53,000 Speaker 1: Are you looking at this certain bag? Are you giving 600 00:35:53,040 --> 00:35:57,239 Speaker 1: off any kind of facial expressions that would seem suspicious? 601 00:35:57,239 --> 00:36:00,759 Speaker 1: Are you just are you why? Why breathing so heavy? 602 00:36:00,800 --> 00:36:03,360 Speaker 1: Were you running? That's it? Is your heart rate elevated 603 00:36:03,440 --> 00:36:04,920 Speaker 1: right now? Why is your heart rate up so high? 604 00:36:04,960 --> 00:36:07,879 Speaker 1: It's just the dogs that are walking past right now 605 00:36:08,000 --> 00:36:13,319 Speaker 1: checking everybody's bags. It's fine. So this is a very 606 00:36:13,360 --> 00:36:17,800 Speaker 1: controversial application of this because yes, we could say that 607 00:36:18,560 --> 00:36:21,920 Speaker 1: this has the potential to prevent crime and save lives. Right. 608 00:36:22,080 --> 00:36:27,399 Speaker 1: For instance, America has a tremendous, ongoing and tragic problem 609 00:36:27,440 --> 00:36:31,680 Speaker 1: with mass shootings which occur at a at a cartoonish 610 00:36:31,719 --> 00:36:37,120 Speaker 1: and fundamentally offensive rate, one being too many. Well so, 611 00:36:37,200 --> 00:36:39,880 Speaker 1: in theory, like if there were cameras set up in 612 00:36:39,920 --> 00:36:42,080 Speaker 1: the way, they could do eye tracking in a public 613 00:36:42,080 --> 00:36:45,520 Speaker 1: space and someone was being what one might describe as shifty, 614 00:36:46,040 --> 00:36:48,160 Speaker 1: as in darting their eyes around at a at a 615 00:36:48,200 --> 00:36:52,520 Speaker 1: weird you know, kind of clip that might be a flag. Right, 616 00:36:52,600 --> 00:36:56,279 Speaker 1: So that's the question. Could this prevent those sorts of tragedies? 617 00:36:56,640 --> 00:37:00,239 Speaker 1: It's it's weird because it's tough to argue this. Let's say, 618 00:37:00,320 --> 00:37:04,239 Speaker 1: for instance, Uh, let's say, for instance that someone snaps 619 00:37:04,600 --> 00:37:09,040 Speaker 1: and they go to a public place with guns or 620 00:37:09,160 --> 00:37:12,319 Speaker 1: or maybe an explosive or something, but they're clocked by 621 00:37:12,360 --> 00:37:16,800 Speaker 1: a camera and then they're arrested. Well, unless they wrote 622 00:37:16,840 --> 00:37:20,680 Speaker 1: down or publicly stated what their intent was, they would 623 00:37:20,680 --> 00:37:23,600 Speaker 1: just have a legal possession of a firearm, you know 624 00:37:23,600 --> 00:37:25,719 Speaker 1: what I mean. And so how can we prove what 625 00:37:25,760 --> 00:37:28,640 Speaker 1: would have happened would have happened? That's why pre crime 626 00:37:28,680 --> 00:37:33,560 Speaker 1: doesn't work, not yet. It basically amounts to depriving someone 627 00:37:33,640 --> 00:37:37,239 Speaker 1: of due process. That's a good point. Yeah, yeah, And 628 00:37:37,280 --> 00:37:42,400 Speaker 1: the the technology always outpaces the legislation. It's something that 629 00:37:42,440 --> 00:37:45,000 Speaker 1: we see time and time and time again. But the 630 00:37:45,040 --> 00:37:50,640 Speaker 1: effects go beyond the computer screen as well. Researchers are 631 00:37:50,680 --> 00:37:54,600 Speaker 1: testing a new product called sideways. Sideways can track what 632 00:37:54,760 --> 00:37:58,800 Speaker 1: products catch your attention on the shelves in a local 633 00:37:59,000 --> 00:38:02,120 Speaker 1: brick and mortar store. I have seen this really at 634 00:38:02,120 --> 00:38:04,960 Speaker 1: a grocery store or something. I don't know it's this 635 00:38:05,040 --> 00:38:09,239 Speaker 1: particular like sideways TM version, but where there will be 636 00:38:09,840 --> 00:38:13,719 Speaker 1: a camera set up in a specific aisle where you 637 00:38:13,760 --> 00:38:15,919 Speaker 1: know it looks as though it could just be for 638 00:38:16,040 --> 00:38:18,799 Speaker 1: security purposes to check and see. Maybe if you're in 639 00:38:18,800 --> 00:38:23,600 Speaker 1: a grocery store and there's a security camera right next to, um, 640 00:38:23,719 --> 00:38:26,600 Speaker 1: some of the medications or something, but maybe a hot 641 00:38:26,640 --> 00:38:30,400 Speaker 1: ticket item that's expensive and small, right, But I swear 642 00:38:30,480 --> 00:38:33,279 Speaker 1: to you it's got not only is a camera set 643 00:38:33,360 --> 00:38:35,560 Speaker 1: set up there, it's got the display right there and 644 00:38:35,600 --> 00:38:38,040 Speaker 1: it says it's recording while it's doing it. And again 645 00:38:38,080 --> 00:38:41,239 Speaker 1: it could be just CCTV, But why would you not 646 00:38:41,560 --> 00:38:46,319 Speaker 1: take something like that and then be looking at how 647 00:38:46,400 --> 00:38:49,120 Speaker 1: people like are their eyes and how they're looking at 648 00:38:49,120 --> 00:38:52,800 Speaker 1: things and how they're reacting, Because as a security officer, 649 00:38:52,840 --> 00:38:55,960 Speaker 1: you could probably ascertain whether something wrong is going on 650 00:38:56,520 --> 00:38:59,920 Speaker 1: by using the same things DHS is doing. Um, why 651 00:39:00,040 --> 00:39:03,640 Speaker 1: I would Kroger, sorry I said it. Why would Kroger 652 00:39:03,680 --> 00:39:05,759 Speaker 1: or Publics are one of these other big companies not 653 00:39:06,280 --> 00:39:09,960 Speaker 1: be working with some advertising company to have data on 654 00:39:10,000 --> 00:39:14,560 Speaker 1: that stuff? Absolutely Yeah, the overhead investment is just pinto 655 00:39:14,680 --> 00:39:19,960 Speaker 1: beans in comparison to you know, the the possible profit potential. 656 00:39:20,040 --> 00:39:21,480 Speaker 1: And is that the kind of thing you would have 657 00:39:21,560 --> 00:39:24,040 Speaker 1: to opt out of or could you even opt out 658 00:39:24,040 --> 00:39:25,600 Speaker 1: of it if you didn't even know what's going on? 659 00:39:25,920 --> 00:39:28,920 Speaker 1: Right right? Where's the informed consent? You're in the store? 660 00:39:29,000 --> 00:39:30,359 Speaker 1: In the store. But that could be one of those 661 00:39:30,360 --> 00:39:32,239 Speaker 1: things where it's like, Okay, let's say I go to 662 00:39:32,239 --> 00:39:35,040 Speaker 1: a music festival and their signs saying, by the very 663 00:39:35,080 --> 00:39:37,879 Speaker 1: fact that you are putting yourself in this environment, you 664 00:39:37,960 --> 00:39:42,120 Speaker 1: are de facto consenting to be filmed, right right right, 665 00:39:42,160 --> 00:39:44,200 Speaker 1: which maybe doesn't hold up in court. I don't know 666 00:39:44,360 --> 00:39:47,920 Speaker 1: that's it does in public? Like if if we're walking 667 00:39:47,920 --> 00:39:50,160 Speaker 1: down the street, is it public though it's a gated 668 00:39:50,360 --> 00:39:52,360 Speaker 1: thing I made money to go into, you know what 669 00:39:52,440 --> 00:39:55,000 Speaker 1: I mean? Yeah, I guess it's up to them then, right. 670 00:39:55,680 --> 00:39:57,640 Speaker 1: I just I just wonder how this would work. Obviously 671 00:39:57,640 --> 00:39:59,239 Speaker 1: we're not there yet, but I think this begs the 672 00:39:59,320 --> 00:40:04,000 Speaker 1: question of, like, how responsible do these companies have to 673 00:40:04,040 --> 00:40:06,440 Speaker 1: be to let people know that this is going on, 674 00:40:06,520 --> 00:40:09,080 Speaker 1: This kind of data collection is going on. Cough cough, 675 00:40:09,160 --> 00:40:12,719 Speaker 1: not very cough. Yeah, they don't. I mean there's not again, 676 00:40:12,760 --> 00:40:15,799 Speaker 1: there's not too much oversight at least, like let's go 677 00:40:15,840 --> 00:40:18,440 Speaker 1: back to this sideways or stuff like sideways. So you 678 00:40:18,520 --> 00:40:21,160 Speaker 1: walk up to the the item. Let's see your you're 679 00:40:21,239 --> 00:40:26,399 Speaker 1: deciding between the store brand we have cereal at home 680 00:40:26,480 --> 00:40:29,919 Speaker 1: type of cereal, or maybe you're gonna splurge and get 681 00:40:29,920 --> 00:40:33,000 Speaker 1: the yeah, get the caution. There you go like I 682 00:40:33,040 --> 00:40:36,520 Speaker 1: earned it. I earned this fiber or whatever. That's your right. 683 00:40:36,640 --> 00:40:40,320 Speaker 1: That's how your party and that person and the grocery 684 00:40:40,440 --> 00:40:45,239 Speaker 1: store has this system that will look at not just 685 00:40:45,400 --> 00:40:49,040 Speaker 1: what you ended up getting, but will tell us a 686 00:40:49,120 --> 00:40:52,080 Speaker 1: little bit about the decision process you went through, the 687 00:40:52,360 --> 00:40:55,560 Speaker 1: what's called the decision tree that lead you to CAUSEY right, 688 00:40:56,120 --> 00:41:00,680 Speaker 1: and from that you will probably have some sort of 689 00:41:01,160 --> 00:41:04,560 Speaker 1: linked contact avenue. Right. You know, we'll get more even 690 00:41:04,640 --> 00:41:06,680 Speaker 1: if you even if you don't sign up for the 691 00:41:07,040 --> 00:41:09,920 Speaker 1: whatever Kroger app or something you will, you will be 692 00:41:10,000 --> 00:41:14,080 Speaker 1: able to get targeted ads through Instagram for instance, and 693 00:41:14,440 --> 00:41:17,839 Speaker 1: eye tracking is going to be huge for Instagram. What 694 00:41:17,920 --> 00:41:21,120 Speaker 1: kind of stuff can people learn about you from your 695 00:41:21,120 --> 00:41:24,400 Speaker 1: eye movements? This is where this is where things become 696 00:41:24,520 --> 00:41:28,279 Speaker 1: very dangerous, possibly fatal, and we'll explain why. So it 697 00:41:28,360 --> 00:41:31,759 Speaker 1: shows not just what you're focusing on, but the order 698 00:41:31,760 --> 00:41:35,920 Speaker 1: of operations that you use when thinking through a visual 699 00:41:36,440 --> 00:41:40,560 Speaker 1: a visual stimulus, both where you tend to look in general, 700 00:41:41,120 --> 00:41:44,080 Speaker 1: like does this person tend to do read the captions 701 00:41:44,120 --> 00:41:48,480 Speaker 1: first or something nobody does, or what you tend to 702 00:41:48,520 --> 00:41:52,520 Speaker 1: look at and look for specifically? Are you just looking 703 00:41:52,560 --> 00:41:54,920 Speaker 1: at the price? Is that how you're shopping right? Are 704 00:41:54,960 --> 00:41:58,640 Speaker 1: you looking at the name brand? Is the appearance of 705 00:41:58,680 --> 00:42:02,399 Speaker 1: a certain thing a keyword more likely to sway you 706 00:42:02,520 --> 00:42:06,719 Speaker 1: toward buying something? Is a bright color standing out to 707 00:42:06,880 --> 00:42:08,920 Speaker 1: the majority of people who walk up to this section 708 00:42:08,960 --> 00:42:11,800 Speaker 1: of the store. Does someone just have to slap Tom 709 00:42:11,840 --> 00:42:15,959 Speaker 1: Cruise's face on anything and you will buy it? Yes? 710 00:42:16,160 --> 00:42:18,040 Speaker 1: I thought when you said that, I was just picturing 711 00:42:18,120 --> 00:42:21,320 Speaker 1: somebody slapping Tom Cruise's face when he jumps up on 712 00:42:21,360 --> 00:42:23,280 Speaker 1: the couch on O breat's like, get off my couch, 713 00:42:23,320 --> 00:42:26,040 Speaker 1: Tom Cruise. It's not where you raised in the barn. 714 00:42:26,120 --> 00:42:30,239 Speaker 1: This it's not where your feet belong, sir. We raised 715 00:42:30,280 --> 00:42:32,880 Speaker 1: it a land where all the floors or couches. That 716 00:42:33,080 --> 00:42:36,400 Speaker 1: sounds like a lovely place. I actually really twisted ankle 717 00:42:36,440 --> 00:42:38,680 Speaker 1: a lot. You did have stepping between the cushions and 718 00:42:38,719 --> 00:42:42,279 Speaker 1: then you'd go down. At least Soften went down. It's 719 00:42:42,320 --> 00:42:47,640 Speaker 1: got like an Ottoman vibe. Oh that is it? Oh 720 00:42:47,719 --> 00:42:54,400 Speaker 1: we got there, alright, alright, but wait, just there's one 721 00:42:54,480 --> 00:42:56,239 Speaker 1: last thing here that we haven't even talked about yet. 722 00:42:56,400 --> 00:42:59,920 Speaker 1: And this is this blows my mind. Just by looking 723 00:43:00,000 --> 00:43:03,560 Speaker 1: at your eyes something like sideways Ben, who I'm speaking 724 00:43:03,600 --> 00:43:05,200 Speaker 1: to Ben? And he's covering his eyes with his very 725 00:43:05,280 --> 00:43:08,319 Speaker 1: dark sunglasses. But just by looking at your pupils, these 726 00:43:08,360 --> 00:43:11,000 Speaker 1: companies will be able to tell if you're having an 727 00:43:11,040 --> 00:43:14,960 Speaker 1: emotional reaction to anything on that shelf. Yeah, kind of 728 00:43:15,000 --> 00:43:17,279 Speaker 1: reminds you of the Blade Runners test, right, remember that, 729 00:43:17,640 --> 00:43:20,520 Speaker 1: like there's a turtle on its back, it can't get up. 730 00:43:20,600 --> 00:43:22,919 Speaker 1: I have a question. Can you guys tell by looking 731 00:43:22,960 --> 00:43:25,280 Speaker 1: at my eyes right now that I'm tripping balls on acid? 732 00:43:25,360 --> 00:43:29,720 Speaker 1: Right now? Wait? I cannot good, hold on, I'm seeing 733 00:43:29,760 --> 00:43:34,200 Speaker 1: a little melting now, that's that's that's just how I look. 734 00:43:34,239 --> 00:43:37,680 Speaker 1: Oh is that my acid? Yeah? Okay, sorry, I have 735 00:43:37,760 --> 00:43:42,320 Speaker 1: a new pitch. If you're encountering too much Tom Cruise 736 00:43:42,440 --> 00:43:46,200 Speaker 1: in your life, you should have something to leverage all this. 737 00:43:46,520 --> 00:43:50,040 Speaker 1: Let's leverage all this crazy invasive technology for good if 738 00:43:50,080 --> 00:43:52,680 Speaker 1: you if you are seeing too much of Tom Cruise 739 00:43:52,680 --> 00:43:55,080 Speaker 1: and something. I propose we had the option of Tom 740 00:43:55,080 --> 00:43:59,279 Speaker 1: Cruise Control, which will just like lower his guys all right, 741 00:44:00,000 --> 00:44:02,360 Speaker 1: there at least be a plug in for like Google 742 00:44:02,440 --> 00:44:05,160 Speaker 1: Chrome or something, you know, just to strip Tom Cruise 743 00:44:05,239 --> 00:44:10,960 Speaker 1: from the Internet. That's it's probably the nicest guy. And 744 00:44:11,000 --> 00:44:13,520 Speaker 1: he does his own stunts, and he's like three ft tall, 745 00:44:14,280 --> 00:44:17,160 Speaker 1: but he's a little aputian, you guys, he's completely harmed. 746 00:44:17,200 --> 00:44:20,200 Speaker 1: He's bantam, and he has a lot of energy, but 747 00:44:20,239 --> 00:44:24,480 Speaker 1: he's ot like what seventeen At this point, he's basically 748 00:44:24,480 --> 00:44:28,239 Speaker 1: a god. Yes, he can materialize, dematerialize whatever he needs 749 00:44:28,320 --> 00:44:31,400 Speaker 1: to do. His Thetan's got kicked out, you know years ago. 750 00:44:31,680 --> 00:44:34,000 Speaker 1: Be Carefully's probably in the room where he can stop 751 00:44:34,040 --> 00:44:39,160 Speaker 1: your heart with one smoldering glance. Yes, I don't know why. 752 00:44:39,160 --> 00:44:41,640 Speaker 1: It was a million percent with you there, but I 753 00:44:41,760 --> 00:44:43,879 Speaker 1: felt that passionately. No, I was like, yeah, I don't 754 00:44:43,960 --> 00:44:46,520 Speaker 1: that's around with him anyway. Let's think about that. It 755 00:44:46,560 --> 00:44:50,600 Speaker 1: can it can It can measure your emotional reaction to anything, right, 756 00:44:50,680 --> 00:44:54,760 Speaker 1: so it could. We're joking about this, uh Tom Cruise 757 00:44:54,760 --> 00:44:58,399 Speaker 1: control thing, but he could do something like that, where 758 00:44:58,440 --> 00:45:01,719 Speaker 1: wherein it says, okay, we're and to remove the following 759 00:45:01,840 --> 00:45:05,440 Speaker 1: things from a normal ad because this will make so 760 00:45:05,480 --> 00:45:10,319 Speaker 1: and so more likely to buy kashi. Right, there's this 761 00:45:10,400 --> 00:45:13,760 Speaker 1: is the really dangerous part. Yeah, not just the emotional reaction, 762 00:45:13,880 --> 00:45:18,840 Speaker 1: but multiple studies confirm that someone's sexual orientation can be 763 00:45:20,239 --> 00:45:25,719 Speaker 1: very easily discerned from observing their eye movements when exposed 764 00:45:25,840 --> 00:45:29,120 Speaker 1: to certain images, so or at least their overall attraction 765 00:45:29,239 --> 00:45:34,560 Speaker 1: right right, right, exactly, And this seems to be proven 766 00:45:34,600 --> 00:45:40,520 Speaker 1: across virtually every every kind of orientation one might imagine. 767 00:45:40,840 --> 00:45:44,840 Speaker 1: It seems that the rules for our eyes apply across 768 00:45:44,880 --> 00:45:50,080 Speaker 1: the board. This is dangerous because in some countries it 769 00:45:50,320 --> 00:45:54,040 Speaker 1: is a crime to have certain sexual orientations, right, and 770 00:45:54,320 --> 00:45:57,440 Speaker 1: in the ideologies of certain groups and the ideologies of 771 00:45:57,480 --> 00:46:00,279 Speaker 1: certain groups, and you think about power and how it 772 00:46:00,320 --> 00:46:02,320 Speaker 1: can change hands and all these things. It's a pretty 773 00:46:02,400 --> 00:46:06,120 Speaker 1: terrifying technology, right. Especially we can consider that, not too 774 00:46:06,160 --> 00:46:10,640 Speaker 1: long ago, in various countries across the world, of for instance, 775 00:46:10,640 --> 00:46:15,719 Speaker 1: being attracted to people the same sex was an automatic 776 00:46:15,719 --> 00:46:20,879 Speaker 1: prison sentence, if not effectively a death sentence, right, And 777 00:46:20,920 --> 00:46:24,000 Speaker 1: that still remains in places across the world. Today. So 778 00:46:24,080 --> 00:46:27,759 Speaker 1: imagine that you're flying in to this country, you know, 779 00:46:27,840 --> 00:46:30,279 Speaker 1: going on vacations, name a country, I don't want to 780 00:46:30,280 --> 00:46:33,840 Speaker 1: pick on any specific one. And then you are stopped 781 00:46:33,880 --> 00:46:36,640 Speaker 1: at customs, which is normal. They look at your passport, 782 00:46:36,680 --> 00:46:38,600 Speaker 1: they may have a connection with five Eyes or in 783 00:46:38,640 --> 00:46:41,720 Speaker 1: her pool to make sure you're not an international taffy 784 00:46:41,760 --> 00:46:47,600 Speaker 1: thief or whatever, and then they deny you entry because 785 00:46:48,360 --> 00:46:52,319 Speaker 1: of some kind of test or facial scan or some 786 00:46:52,440 --> 00:46:56,759 Speaker 1: data they had from you literally just walking in, yeah, 787 00:46:56,920 --> 00:46:59,520 Speaker 1: walking in, or looking at people on Instagram or something, 788 00:46:59,840 --> 00:47:02,200 Speaker 1: or on Facebook or whatever, what have you, or maybe 789 00:47:02,640 --> 00:47:08,040 Speaker 1: on the displays on the plane. Insidious, I like it. Yeah. 790 00:47:08,080 --> 00:47:11,839 Speaker 1: Also also maybe just data collected from the TV you're 791 00:47:11,880 --> 00:47:15,319 Speaker 1: watching that is also watching you. Which is the best 792 00:47:15,360 --> 00:47:18,279 Speaker 1: place to put these things, TVs and phones. So this 793 00:47:18,400 --> 00:47:23,160 Speaker 1: means that someone without their informed consent could suffer legal 794 00:47:23,239 --> 00:47:27,719 Speaker 1: consequences for something that is not a crime in their 795 00:47:27,760 --> 00:47:33,200 Speaker 1: home country, right, or something that really isn't other people's business. 796 00:47:33,360 --> 00:47:38,480 Speaker 1: It would, being honest, mm hmm. So this leads us 797 00:47:38,480 --> 00:47:42,600 Speaker 1: to our conclusion for today, which is really opening the 798 00:47:42,640 --> 00:47:46,640 Speaker 1: door to more questions. At what price convenience? You know 799 00:47:46,680 --> 00:47:51,360 Speaker 1: what I mean? What are the advantages. Are you for this? 800 00:47:51,560 --> 00:47:53,520 Speaker 1: Are you against it? Or, as we say in the South, 801 00:47:53,520 --> 00:47:57,600 Speaker 1: are defer it or again it? If so, why and 802 00:47:59,040 --> 00:48:02,160 Speaker 1: if you were one of those people who accepts the 803 00:48:02,280 --> 00:48:05,920 Speaker 1: argument that, uh, if you're not doing anything wrong, you 804 00:48:05,960 --> 00:48:08,319 Speaker 1: don't have anything to hide. If you're one of those 805 00:48:08,360 --> 00:48:10,000 Speaker 1: people is on that side, we would love to hear 806 00:48:10,040 --> 00:48:13,160 Speaker 1: from you. We love to hear your reasoning why. Maybe 807 00:48:13,200 --> 00:48:16,000 Speaker 1: this is a necessary evil to some of us. Maybe 808 00:48:16,040 --> 00:48:23,239 Speaker 1: the benefits ultimately outweigh the disadvantages. Right either way, no 809 00:48:23,239 --> 00:48:26,000 Speaker 1: matter how how you feel about it, if you're a 810 00:48:26,080 --> 00:48:29,440 Speaker 1: hundred percent on board, a hundred percent opposed, it's happening. 811 00:48:29,880 --> 00:48:32,560 Speaker 1: It doesn't matter. It's kind of like not liking the weather. 812 00:48:32,719 --> 00:48:35,440 Speaker 1: The weather doesn't care what you think about it. And 813 00:48:35,680 --> 00:48:40,960 Speaker 1: the companies pursuing this I tracking um I tracking technology, 814 00:48:41,239 --> 00:48:43,120 Speaker 1: I don't really care what you think about it. Either. 815 00:48:43,880 --> 00:48:46,640 Speaker 1: The money got too good, and the potential is there. 816 00:48:46,680 --> 00:48:49,719 Speaker 1: It's Pandora's jar. The lid has been unscrewed, and that 817 00:48:49,840 --> 00:48:53,560 Speaker 1: lid only that it doesn't go back up. Well, and 818 00:48:53,600 --> 00:48:57,880 Speaker 1: that's um Well, well, here's what you may be thinking, 819 00:48:57,920 --> 00:49:00,040 Speaker 1: because there is certainly a thought I had. I'm in 820 00:49:00,280 --> 00:49:03,399 Speaker 1: here with a cell phone that has the front, the 821 00:49:03,440 --> 00:49:07,160 Speaker 1: front facing camera covered by just a terrible looking piece 822 00:49:07,200 --> 00:49:09,640 Speaker 1: of duct tape. But that's just how I roll because 823 00:49:09,680 --> 00:49:12,320 Speaker 1: I'm you know, like you listening out there, I'm aware 824 00:49:12,320 --> 00:49:15,200 Speaker 1: of some of these things. Um, you may think, well, 825 00:49:15,280 --> 00:49:18,239 Speaker 1: what I'll do is I'll just cover all the cameras 826 00:49:18,280 --> 00:49:21,280 Speaker 1: that I'm aware of that I can, and that way 827 00:49:21,760 --> 00:49:24,200 Speaker 1: nobody will be able to tell what my eyes are doing, 828 00:49:24,320 --> 00:49:29,080 Speaker 1: at least in my own home, right wherever I reside. Um, 829 00:49:29,120 --> 00:49:31,719 Speaker 1: because the only other solution is to wear sunglasses all 830 00:49:31,719 --> 00:49:36,319 Speaker 1: the time. And people don't, you know, people think something's up, 831 00:49:38,360 --> 00:49:40,080 Speaker 1: but it does. It does look cool, and you been 832 00:49:40,360 --> 00:49:43,279 Speaker 1: I wish it. Okay, we all look really cool in sunglasses. 833 00:49:43,320 --> 00:49:45,799 Speaker 1: I like Nol's got some sunglasses with white frames, those 834 00:49:45,800 --> 00:49:48,160 Speaker 1: who keep them on. My my little neck my neck 835 00:49:48,200 --> 00:49:51,439 Speaker 1: piece here. When I say neck piece, I mean my 836 00:49:50,960 --> 00:49:54,880 Speaker 1: my diamonds, my diamond and crested icy I see it piece. 837 00:49:55,120 --> 00:49:57,080 Speaker 1: I like it because it's kind of like a tie 838 00:49:57,080 --> 00:49:59,560 Speaker 1: analog the way it catches the light too, you know, 839 00:50:00,040 --> 00:50:02,480 Speaker 1: and it really catches the eye and the light. And 840 00:50:02,840 --> 00:50:05,120 Speaker 1: in this instance, I can see myself in your chest, 841 00:50:05,200 --> 00:50:08,479 Speaker 1: which is yeah, it's important. It's sort of a power 842 00:50:08,520 --> 00:50:11,840 Speaker 1: move really, and that you look like a cop with 843 00:50:11,840 --> 00:50:15,480 Speaker 1: with your glasses. You have like these aviators, right, No, 844 00:50:15,760 --> 00:50:20,680 Speaker 1: they're just the old school sunglasses. Who is that guy? 845 00:50:20,719 --> 00:50:23,840 Speaker 1: Then I'm not sure. Okay, I think I'm being followed 846 00:50:23,840 --> 00:50:27,240 Speaker 1: by a police officer and it looks like, yes, it's working. 847 00:50:27,520 --> 00:50:30,360 Speaker 1: And finally the dream. But yeah, this stuff, this stuff 848 00:50:30,480 --> 00:50:32,560 Speaker 1: is happening, and it is tempting to think that there 849 00:50:32,560 --> 00:50:36,040 Speaker 1: are um more low tech solutions like hey, guys, stop 850 00:50:36,080 --> 00:50:39,279 Speaker 1: freaking out. Just put some tape over your camera, which 851 00:50:39,280 --> 00:50:43,680 Speaker 1: obviously we do, but that is not going to work 852 00:50:43,680 --> 00:50:47,800 Speaker 1: in the future. No, right. Apple also had a patent 853 00:50:47,880 --> 00:50:52,400 Speaker 1: application as well as other technology companies, to have display 854 00:50:52,480 --> 00:50:56,520 Speaker 1: screens that include thousands of tiny image sensors built into 855 00:50:56,560 --> 00:50:59,440 Speaker 1: the screen itself. Yeah, so if you are looking at 856 00:50:59,440 --> 00:51:01,800 Speaker 1: the screen, it would be looking at you. I was 857 00:51:01,840 --> 00:51:03,600 Speaker 1: about to say, you're looking at the abyss. The ABYSS 858 00:51:03,600 --> 00:51:06,600 Speaker 1: looks back at you, my friends. Here's the here's the 859 00:51:06,640 --> 00:51:10,960 Speaker 1: crazy part, this filing, this patent that Apple filed that for. 860 00:51:11,480 --> 00:51:13,239 Speaker 1: Do you know what year it was from NOL Can 861 00:51:13,239 --> 00:51:17,520 Speaker 1: you want to take a guess? It was a display 862 00:51:17,840 --> 00:51:21,520 Speaker 1: two thousand four, But seriously, though, think about when the 863 00:51:21,600 --> 00:51:26,200 Speaker 1: iPhone came out. Think about like how often we've been 864 00:51:26,280 --> 00:51:29,680 Speaker 1: using phones since then and the technology behind it. Apple 865 00:51:29,760 --> 00:51:34,040 Speaker 1: filed a patent for that in two thousand four. Well okay, 866 00:51:34,320 --> 00:51:36,080 Speaker 1: I never thought I would say this on this show. 867 00:51:37,320 --> 00:51:41,400 Speaker 1: But in Apple's defense, a lot of times technology companies 868 00:51:41,440 --> 00:51:44,400 Speaker 1: just file a patent as kind of a way of 869 00:51:44,440 --> 00:51:47,960 Speaker 1: calling shotgun. No totally, I get that, I totally. Or 870 00:51:48,000 --> 00:51:51,399 Speaker 1: they filed patents to suppress technology, or the government does 871 00:51:51,400 --> 00:51:54,120 Speaker 1: that all which has actually happened. We're just we keep 872 00:51:54,160 --> 00:51:58,800 Speaker 1: saying the government and that's my spec the US heavy 873 00:51:58,840 --> 00:52:02,759 Speaker 1: g uh. It is true that there is a there 874 00:52:02,800 --> 00:52:06,200 Speaker 1: is a law on the books wherein if you file 875 00:52:06,280 --> 00:52:09,320 Speaker 1: for a patent that is considered to be a threat 876 00:52:09,360 --> 00:52:12,200 Speaker 1: to national security, you will lose your patent, it will 877 00:52:12,200 --> 00:52:14,680 Speaker 1: become property of the US government, it will be removed, 878 00:52:14,719 --> 00:52:18,520 Speaker 1: you automatically get a gag order preventing you from ever 879 00:52:18,560 --> 00:52:21,040 Speaker 1: speaking about what happened. It can also happen if the 880 00:52:21,040 --> 00:52:24,040 Speaker 1: government already has a secret patent for one of those things. 881 00:52:24,040 --> 00:52:27,200 Speaker 1: Oh yeah, secret patents. That's so that's cheating. I get it. 882 00:52:27,800 --> 00:52:30,840 Speaker 1: I would do the same thing in their position, But anyhow, Uh, anyhow, 883 00:52:30,920 --> 00:52:33,560 Speaker 1: here we are. This stuff is not being suppressed. This 884 00:52:33,640 --> 00:52:38,400 Speaker 1: is proliferating, spreading like wildfire to a cell phone near you. 885 00:52:39,480 --> 00:52:44,600 Speaker 1: So the question is what what next? What to do 886 00:52:44,600 --> 00:52:48,839 Speaker 1: do we fight against this? Uh, this new way of 887 00:52:48,880 --> 00:52:52,680 Speaker 1: aggregating data. I mean, have you ever been reading something 888 00:52:52,719 --> 00:52:56,960 Speaker 1: online and thought, Wow, it's crazy that I can have 889 00:52:57,120 --> 00:52:59,760 Speaker 1: my own thought about this and it's still be private. 890 00:53:00,080 --> 00:53:04,480 Speaker 1: Last sacracinct thing in the human experience now is just 891 00:53:04,880 --> 00:53:11,239 Speaker 1: the mind. That's it, you know. I I think what's 892 00:53:11,239 --> 00:53:14,040 Speaker 1: going to happen, and it's already starting to occur a 893 00:53:14,080 --> 00:53:17,440 Speaker 1: little bit, but I believe companies will begin to thrive 894 00:53:18,000 --> 00:53:23,080 Speaker 1: that specifically are their their goal in creating products is 895 00:53:23,120 --> 00:53:28,839 Speaker 1: to subvert this kind of tracking, in this kind of surveillance. 896 00:53:28,960 --> 00:53:31,279 Speaker 1: And again you can there are some companies out there 897 00:53:31,320 --> 00:53:34,680 Speaker 1: that are trying to create a wearable tech things that 898 00:53:34,680 --> 00:53:37,880 Speaker 1: you can put on your body, that you wear, your face, um, 899 00:53:37,920 --> 00:53:41,840 Speaker 1: face paint, different things like that that will not allow 900 00:53:41,920 --> 00:53:45,440 Speaker 1: facial tracking to a like the camouflage that's used on 901 00:53:45,600 --> 00:53:49,160 Speaker 1: some warships exactly. And I think those kinds of companies 902 00:53:49,200 --> 00:53:52,239 Speaker 1: are going to proliferate and flourish, and you're gonna have 903 00:53:52,719 --> 00:53:56,080 Speaker 1: ones that there are specific types of glasses that you 904 00:53:56,120 --> 00:53:59,240 Speaker 1: wear that aren't actually you know, they're not to protect 905 00:53:59,239 --> 00:54:01,200 Speaker 1: you from UV or as it is just to protect 906 00:54:01,320 --> 00:54:06,160 Speaker 1: whatever light sensing camera to see to your eyes. Um, 907 00:54:06,239 --> 00:54:08,480 Speaker 1: I really think that stuff is going to proliferate, maybe 908 00:54:08,520 --> 00:54:12,960 Speaker 1: disruptive contact lenses that being a little easier. I don't know, 909 00:54:13,040 --> 00:54:15,399 Speaker 1: what do you think? I mean? Is it gonna make 910 00:54:15,400 --> 00:54:21,919 Speaker 1: my snapchat filters better? Probably? Yeah, that I'm all for it. Okay, Yeah, 911 00:54:22,080 --> 00:54:24,000 Speaker 1: that's the way we're gonna end it. I think, well, 912 00:54:24,040 --> 00:54:26,080 Speaker 1: that's that's how it's going. I think that's how the 913 00:54:26,080 --> 00:54:28,480 Speaker 1: conversation is going to continue. You know what I mean 914 00:54:29,000 --> 00:54:32,360 Speaker 1: because right now here where this show is based in 915 00:54:32,400 --> 00:54:36,400 Speaker 1: the United States, there doesn't seem to be an immediate 916 00:54:36,480 --> 00:54:40,239 Speaker 1: threat posed by this. Right it will be an erosion 917 00:54:40,280 --> 00:54:44,000 Speaker 1: of privacy rather than a complete sudden removal. The frogs 918 00:54:44,000 --> 00:54:46,640 Speaker 1: in the water slowly boil. We're already in the water, dudes, 919 00:54:46,960 --> 00:54:49,239 Speaker 1: we are. We're already in the water. We're practically dead. 920 00:54:49,520 --> 00:54:52,279 Speaker 1: We're too far from shore now. It's true. There's no 921 00:54:52,400 --> 00:54:54,600 Speaker 1: coming back. You can't you can't roll back the tide. 922 00:54:55,080 --> 00:54:59,120 Speaker 1: Despite that being an Alabama football's teams, whatever you call it. 923 00:54:59,120 --> 00:55:00,880 Speaker 1: I still don't understan know what that means. I have 924 00:55:00,920 --> 00:55:05,279 Speaker 1: no idea what is this crimson tide? I know they're 925 00:55:05,400 --> 00:55:08,759 Speaker 1: rolling tides, but like why when the roll tide that 926 00:55:08,840 --> 00:55:12,160 Speaker 1: means like trample the other side? Let us know, Let 927 00:55:12,200 --> 00:55:14,480 Speaker 1: us know, give us your football hot takes, and also 928 00:55:14,800 --> 00:55:18,000 Speaker 1: give us your advice we have. This is clearly not 929 00:55:18,120 --> 00:55:22,600 Speaker 1: a sustainable situation right over the long term. We don't 930 00:55:22,640 --> 00:55:25,400 Speaker 1: know what's going to happen. What advice do you have 931 00:55:25,520 --> 00:55:28,120 Speaker 1: for your fellow listeners? What is your take? Is this 932 00:55:28,280 --> 00:55:31,600 Speaker 1: something people should be concerned about, especially in countries where 933 00:55:31,600 --> 00:55:35,319 Speaker 1: their involuntary reactions can lead to their imprisonment, uh their 934 00:55:35,360 --> 00:55:39,719 Speaker 1: physical abuse, where their death? Is this just alarmist? Is 935 00:55:39,760 --> 00:55:41,839 Speaker 1: this thing that will be a flash in the pan 936 00:55:42,320 --> 00:55:45,200 Speaker 1: and then disappear in the news cycle. What happens when 937 00:55:45,760 --> 00:55:48,839 Speaker 1: that black mirror episode really does come true? Where if 938 00:55:48,920 --> 00:55:53,320 Speaker 1: you're not looking at the ad uh, it pauses and 939 00:55:53,480 --> 00:55:56,800 Speaker 1: you can't foresee. That's what Seth was talking about earlier. 940 00:55:56,960 --> 00:56:00,640 Speaker 1: What's your favorite Snapchat filter, kiddies, You like the puppy 941 00:56:00,680 --> 00:56:02,040 Speaker 1: one where you stick your tongue out and then the 942 00:56:02,040 --> 00:56:05,960 Speaker 1: puppy tongue comes out. How do they do that? I 943 00:56:06,000 --> 00:56:09,520 Speaker 1: don't know. Let us know right to us, is the 944 00:56:09,600 --> 00:56:12,560 Speaker 1: facial recognition worth it? A lot of people say, yes, 945 00:56:12,920 --> 00:56:16,040 Speaker 1: you know, let us know. You can call us directly. 946 00:56:16,080 --> 00:56:23,239 Speaker 1: We are one eight three three. You can also contact 947 00:56:23,280 --> 00:56:26,320 Speaker 1: Now that we've said all these terrible things about social 948 00:56:26,320 --> 00:56:29,719 Speaker 1: media using eye tracking to learn your innermost secrets, Hey 949 00:56:29,760 --> 00:56:32,359 Speaker 1: find us on Facebook along with your fellow listeners at 950 00:56:32,400 --> 00:56:34,239 Speaker 1: Here's where it gets crazy. Yeah, we only use a 951 00:56:34,280 --> 00:56:36,520 Speaker 1: segment of Facebook. We don't do use the wide or 952 00:56:36,600 --> 00:56:39,880 Speaker 1: Facebook where we only use the Facebook group because that's better, 953 00:56:40,560 --> 00:56:44,680 Speaker 1: that's right. And Twitter conspiracy stuff and Instagram conspiracy stuff show. 954 00:56:44,880 --> 00:56:47,319 Speaker 1: You can check me out on Instagram at how now 955 00:56:47,400 --> 00:56:49,480 Speaker 1: Noel Brown. If you want to see me dabbing with 956 00:56:49,520 --> 00:56:51,400 Speaker 1: my kid, and I don't mean dabbing like the weed thing, 957 00:56:51,480 --> 00:56:53,839 Speaker 1: I mean like the things the dance or whatever. Thank god, 958 00:56:54,719 --> 00:56:57,360 Speaker 1: you can find me getting kicked into and out of 959 00:56:57,480 --> 00:57:00,640 Speaker 1: various countries at Ben Bowling on Instagram. I'm at Ben 960 00:57:00,640 --> 00:57:03,600 Speaker 1: bull in hs W on Twitter. If you've got a 961 00:57:03,600 --> 00:57:06,520 Speaker 1: hot take you want to just send, send our way. Yeah, 962 00:57:06,520 --> 00:57:09,839 Speaker 1: and find me on Instagram. It's Maya Seth big fan 963 00:57:09,920 --> 00:57:13,719 Speaker 1: twenty four and that's the Instagram handle. Uh, you'll find it. 964 00:57:13,719 --> 00:57:17,280 Speaker 1: It's all yeah, yeah, Well it's weird is that you 965 00:57:17,400 --> 00:57:20,200 Speaker 1: made that before Seth's first day. I know, I had 966 00:57:20,200 --> 00:57:22,360 Speaker 1: no idea and it's just kids. Meant that we're having 967 00:57:22,400 --> 00:57:25,360 Speaker 1: this recording session to kids. Mit, man, there we go. 968 00:57:25,560 --> 00:57:28,200 Speaker 1: So wait, what if someone says, guys, I hate the phone. 969 00:57:28,200 --> 00:57:32,880 Speaker 1: It's real friends, text, I hate social media. It's twenty nineteen. 970 00:57:32,960 --> 00:57:35,760 Speaker 1: We all know there's something screwy going on there. But 971 00:57:36,200 --> 00:57:39,080 Speaker 1: I have something I need to tell you are, more importantly, 972 00:57:39,320 --> 00:57:43,480 Speaker 1: my fellow listeners. Where where O? Where can I find 973 00:57:43,480 --> 00:57:45,360 Speaker 1: a way to talk to you? We have good news 974 00:57:45,440 --> 00:57:48,200 Speaker 1: for your friend. You can still send us a good 975 00:57:48,200 --> 00:57:52,040 Speaker 1: old fashioned email. We are conspiracy at iHeart radio dot com. 976 00:57:52,040 --> 00:57:54,400 Speaker 1: Oh and one last thing to mention here. On Monday, 977 00:57:54,480 --> 00:57:57,560 Speaker 1: I'm gonna be a guest of sorts I Guess on 978 00:57:57,880 --> 00:58:02,400 Speaker 1: the finale episode of the season of Ephemeral. It's a 979 00:58:02,440 --> 00:58:05,560 Speaker 1: newer podcast that's put out by I Heart Radio and 980 00:58:06,000 --> 00:58:09,080 Speaker 1: it's a show about ephemeral media. And in the episode, 981 00:58:09,120 --> 00:58:11,760 Speaker 1: the creator and host Alex Williams, and I talked about 982 00:58:11,800 --> 00:58:15,160 Speaker 1: this tape that I found of my grandfather trying to 983 00:58:15,200 --> 00:58:18,600 Speaker 1: record the first words of my mother. It sounds a 984 00:58:18,600 --> 00:58:21,400 Speaker 1: little weird in in this context, but I assure you, 985 00:58:21,480 --> 00:58:24,200 Speaker 1: within the context of that show, it's gonna make a 986 00:58:24,240 --> 00:58:27,440 Speaker 1: lot of sense. I hope you'll listen. Find Ephemeral right 987 00:58:27,440 --> 00:58:30,240 Speaker 1: now on Apple Podcasts, the I heart Radio app, or 988 00:58:30,280 --> 00:58:50,640 Speaker 1: wherever you listen to podcasts. Stuff they Don't Want You 989 00:58:50,680 --> 00:58:53,360 Speaker 1: to Know is a production of iHeart Radio's How Stuff Works. 990 00:58:53,560 --> 00:58:55,800 Speaker 1: For more podcasts from my heart Radio, visit the I 991 00:58:55,880 --> 00:58:58,800 Speaker 1: heart Radio app, Apple Podcasts, or wherever you listen to 992 00:58:58,800 --> 00:58:59,600 Speaker 1: your favorite shows.