1 00:00:02,160 --> 00:00:05,440 Speaker 1: Now here's a highlight from Coast to Coast AM on 2 00:00:05,559 --> 00:00:08,800 Speaker 1: iHeart Radio and welcome back to Coast to Coast back 3 00:00:08,800 --> 00:00:11,920 Speaker 1: with Douglas Rushcoff. Douglas, I got to ask you about 4 00:00:11,920 --> 00:00:15,720 Speaker 1: your Alistir and Adolph the next hour. That fascinating a 5 00:00:15,800 --> 00:00:17,840 Speaker 1: cult book. But you were talking about being on the 6 00:00:17,880 --> 00:00:20,840 Speaker 1: phone and they somehow track and follow you, and did 7 00:00:20,880 --> 00:00:23,080 Speaker 1: you want to get into that again? Sure, I mean 8 00:00:23,120 --> 00:00:25,239 Speaker 1: it's funny we you know, you might be having a 9 00:00:25,280 --> 00:00:29,280 Speaker 1: phone conversation with a nephew or someone and you mentioned, oh, 10 00:00:29,320 --> 00:00:31,080 Speaker 1: you know, oh I'm going to have to buy a 11 00:00:31,760 --> 00:00:33,760 Speaker 1: you know, a new baby seat or something for you, 12 00:00:34,080 --> 00:00:35,839 Speaker 1: and then you know, you go on the internet and 13 00:00:35,880 --> 00:00:37,360 Speaker 1: all of a sudden there's like an ad for a 14 00:00:37,400 --> 00:00:41,680 Speaker 1: baby seat there, and naturally we assume, oh my gosh, 15 00:00:41,720 --> 00:00:44,400 Speaker 1: they're listening in on the call, right the sort of 16 00:00:44,400 --> 00:00:46,960 Speaker 1: the edge Snowden saying, where you know the NSA is 17 00:00:46,960 --> 00:00:50,000 Speaker 1: listening in on every call and all they are doing that. 18 00:00:50,000 --> 00:00:52,320 Speaker 1: That's not how they get the baby seat on there. 19 00:00:52,680 --> 00:00:56,280 Speaker 1: It's almost scarier to realize the way they figured out 20 00:00:56,280 --> 00:00:58,840 Speaker 1: about the baby seat has nothing to do with hearing 21 00:00:58,840 --> 00:01:02,880 Speaker 1: your conversation, everything to do with watching all of your 22 00:01:02,920 --> 00:01:07,240 Speaker 1: behaviors online and not even the content of your email 23 00:01:07,360 --> 00:01:10,360 Speaker 1: or the specific sites that you're going to. But they're 24 00:01:10,400 --> 00:01:15,560 Speaker 1: analyzing everything's how rapidly you click on your mouse, what 25 00:01:15,720 --> 00:01:20,479 Speaker 1: you're hover over with your pointer, how many times you've 26 00:01:20,560 --> 00:01:24,039 Speaker 1: checked your Snapchat that day, or if you've gone on 27 00:01:24,080 --> 00:01:26,800 Speaker 1: Twitter between ten and ten fifteen or ten fifteen and 28 00:01:26,840 --> 00:01:31,200 Speaker 1: ten thirty. They lump you into these big statistical buckets, 29 00:01:31,480 --> 00:01:34,520 Speaker 1: and there's enough people and enough data using all this 30 00:01:34,880 --> 00:01:37,440 Speaker 1: that they can figure out that, oh my gosh, people 31 00:01:37,440 --> 00:01:42,280 Speaker 1: who have this combination of nine key strokes are seventy 32 00:01:42,319 --> 00:01:46,319 Speaker 1: percent likely to want to be getting a babyholder for 33 00:01:46,360 --> 00:01:49,160 Speaker 1: their car, and they'll throw the ad at you. So 34 00:01:50,000 --> 00:01:52,800 Speaker 1: the weirdest thing is that this is the way the 35 00:01:52,920 --> 00:01:57,840 Speaker 1: algorithms see us. It's amazing technology, though geez, yeah, it 36 00:01:58,000 --> 00:02:02,720 Speaker 1: is amazing. I mean, and it's just predictive, just predictive algorithms. 37 00:02:02,960 --> 00:02:05,000 Speaker 1: But then when you think about it, I mean, for me, 38 00:02:05,400 --> 00:02:07,920 Speaker 1: these are kind of the dark art that I'm really 39 00:02:07,920 --> 00:02:10,359 Speaker 1: concerned about. This is why I wrote Team Human is 40 00:02:10,440 --> 00:02:13,440 Speaker 1: kind of to arm people against this and to fortify, 41 00:02:13,840 --> 00:02:18,160 Speaker 1: to fortify their resistance that for me, these algorithms are 42 00:02:18,200 --> 00:02:22,800 Speaker 1: almost like demons. I mean, think about it. You build 43 00:02:22,919 --> 00:02:25,720 Speaker 1: a piece of code, you teach it how to look 44 00:02:25,760 --> 00:02:29,600 Speaker 1: for vulnerabilities in a human being, and then how to 45 00:02:29,840 --> 00:02:34,160 Speaker 1: leverage those vulnerabilities to get us to act, often against 46 00:02:34,200 --> 00:02:36,880 Speaker 1: our own best interests. Well, you're gonna get it. You're 47 00:02:36,880 --> 00:02:38,760 Speaker 1: gonna get a kick out of this, Douglas. A couple 48 00:02:38,760 --> 00:02:40,360 Speaker 1: of years ago, I got an email from one of 49 00:02:40,360 --> 00:02:43,919 Speaker 1: our listeners who said that George, I've been looking at 50 00:02:43,960 --> 00:02:47,480 Speaker 1: the website of your guests for tonight and he's got 51 00:02:47,520 --> 00:02:52,920 Speaker 1: some very inappropriate stuff on his website, which if I 52 00:02:53,000 --> 00:02:55,640 Speaker 1: were you, i'd canceled a guest in. So I emailed 53 00:02:55,639 --> 00:02:57,800 Speaker 1: them back and I said what do you mean by inappropriate? 54 00:02:58,160 --> 00:03:00,840 Speaker 1: And he said, there's stuff there and explained it to me, 55 00:03:00,919 --> 00:03:02,640 Speaker 1: and it's so bad I didn't I don't want to 56 00:03:02,639 --> 00:03:05,080 Speaker 1: mention it on the air. But you can get a 57 00:03:05,080 --> 00:03:07,720 Speaker 1: picture of that. So I go to the guy's website, 58 00:03:07,880 --> 00:03:11,000 Speaker 1: the guest, and everything's fine, and I'm looking at it, 59 00:03:11,280 --> 00:03:14,359 Speaker 1: and I go back again an hour later. Everything's fine, 60 00:03:14,440 --> 00:03:18,079 Speaker 1: a all his stuff is fine, his ads are fine. 61 00:03:19,440 --> 00:03:23,160 Speaker 1: It dawned on me that this guy, the listener, was 62 00:03:23,240 --> 00:03:28,200 Speaker 1: looking at inappropriate material and it followed him to this 63 00:03:28,240 --> 00:03:32,520 Speaker 1: guy's website exactly. But people don't realize is that, you know, 64 00:03:32,800 --> 00:03:36,680 Speaker 1: your Google search results are different than my Google exactly. 65 00:03:36,880 --> 00:03:38,920 Speaker 1: The ads that you get are the difference ones than 66 00:03:38,960 --> 00:03:42,400 Speaker 1: I get. Your Facebook feed is different than my Facebook feed. 67 00:03:42,600 --> 00:03:46,040 Speaker 1: And that's why we're so screwed up as a society 68 00:03:46,120 --> 00:03:48,320 Speaker 1: right now. I mean, it used to be bad enough 69 00:03:48,880 --> 00:03:51,800 Speaker 1: back in the day when we would argue about things, 70 00:03:51,840 --> 00:03:54,480 Speaker 1: but at least we were seeing the same thing and 71 00:03:54,520 --> 00:03:58,600 Speaker 1: then arguing about it. Now we're arguing about things that 72 00:03:58,680 --> 00:04:03,480 Speaker 1: we're seeing, different things being presented different pictures of the world. 73 00:04:03,840 --> 00:04:06,680 Speaker 1: And the dark part, I mean, the part that bothers 74 00:04:06,680 --> 00:04:10,160 Speaker 1: me is that this is not random. This is by design. 75 00:04:10,320 --> 00:04:15,040 Speaker 1: This is a divide and conquer approach to humanity. They're 76 00:04:15,120 --> 00:04:18,960 Speaker 1: preventing us from finding common ground because the more isolated 77 00:04:19,000 --> 00:04:21,640 Speaker 1: we are, the more alienated we are from one another, 78 00:04:21,920 --> 00:04:26,160 Speaker 1: the better customers we are. The whole design of the 79 00:04:26,200 --> 00:04:29,160 Speaker 1: interactive space, of the digital space is to keep us 80 00:04:29,200 --> 00:04:33,640 Speaker 1: back in our reptile brain, to keep us responding automatically, 81 00:04:34,000 --> 00:04:38,919 Speaker 1: and they do that by showing us the equivalent of 82 00:04:39,000 --> 00:04:41,679 Speaker 1: car crashes. You know, whether you're on the pro Trump 83 00:04:41,720 --> 00:04:43,800 Speaker 1: side or the anti Trump side. You're going to see 84 00:04:43,800 --> 00:04:47,440 Speaker 1: images that get you really upset, and that's because when 85 00:04:47,440 --> 00:04:50,880 Speaker 1: you're upset, you can be more easily manipulated, more easily 86 00:04:50,920 --> 00:04:53,120 Speaker 1: sent to one place or another. You know, there's a 87 00:04:53,160 --> 00:04:58,760 Speaker 1: whole division at Stanford University called captology that technology developers 88 00:04:58,800 --> 00:05:01,560 Speaker 1: go through. And captology, just like it sounds, is the 89 00:05:01,600 --> 00:05:05,160 Speaker 1: study of how to capture people online, how to addict 90 00:05:05,240 --> 00:05:10,719 Speaker 1: them and manipulate their behavior. They port the algorithms from 91 00:05:10,800 --> 00:05:16,240 Speaker 1: Las Vegas slot machines into our Facebook news feeds, a snapchat, 92 00:05:16,480 --> 00:05:19,920 Speaker 1: and that's because they're using what's called behavioral finance in 93 00:05:20,080 --> 00:05:24,080 Speaker 1: order to modify human behavior to get us clicking on 94 00:05:24,160 --> 00:05:28,880 Speaker 1: buy buttons and just clicking, you know, just engaged online 95 00:05:28,920 --> 00:05:32,479 Speaker 1: in that strange, panicked state. Then we come out into 96 00:05:32,560 --> 00:05:35,359 Speaker 1: the world and we hear about, oh, you know, Trump 97 00:05:35,360 --> 00:05:37,760 Speaker 1: did something to Iran or Iran did something to us, 98 00:05:38,080 --> 00:05:43,320 Speaker 1: and everything is panic, Everything is catastrophe instantly, and you 99 00:05:43,480 --> 00:05:48,279 Speaker 1: can't approach any problem, you can't do anything, You can't 100 00:05:48,320 --> 00:05:50,719 Speaker 1: you can't even engage with your family and your friends 101 00:05:50,800 --> 00:05:53,680 Speaker 1: if you believe you're in the midst of a catastrophe. 102 00:05:53,839 --> 00:05:58,400 Speaker 1: Earlier today, I was doing earlier today Douglas, a brigadier general, 103 00:05:58,640 --> 00:06:02,240 Speaker 1: had a letter that he compiled that said that we 104 00:06:02,240 --> 00:06:04,880 Speaker 1: were going to leave Iraq, our troops were going to leave, 105 00:06:05,360 --> 00:06:07,560 Speaker 1: and it hit all the websites. I mean, I'm getting 106 00:06:07,560 --> 00:06:10,360 Speaker 1: these notifications like crazy, and I'm going, oh, all right, 107 00:06:10,400 --> 00:06:14,640 Speaker 1: this is interesting. Like ten minutes later, there's a retraction 108 00:06:14,839 --> 00:06:17,800 Speaker 1: from our government. No, this is not true. Who We're 109 00:06:17,839 --> 00:06:22,080 Speaker 1: not leaving. You know, this was an honest mistake. It's 110 00:06:22,080 --> 00:06:26,440 Speaker 1: not happening. What are the dangers of things getting out 111 00:06:26,480 --> 00:06:32,400 Speaker 1: there so fast, uncooperated, unchecked, and they and they start 112 00:06:32,440 --> 00:06:36,600 Speaker 1: panic or whatever. Well, the danger I mean, gosh, now 113 00:06:36,640 --> 00:06:38,320 Speaker 1: I'm really going to sound old and I wasn't alive 114 00:06:38,360 --> 00:06:41,400 Speaker 1: for it, but the danger is is orson welles wore 115 00:06:41,520 --> 00:06:45,680 Speaker 1: the world. Oh yeah, the original fake news. Only that 116 00:06:45,839 --> 00:06:48,960 Speaker 1: was being done as a joke. That did people missed 117 00:06:49,000 --> 00:06:52,320 Speaker 1: the disclaimer at the top of the show. Yeah, And 118 00:06:52,360 --> 00:06:54,360 Speaker 1: but you know, and even though they put a disclaimer, 119 00:06:54,400 --> 00:06:56,599 Speaker 1: as we all knew, you know, people were compiling it 120 00:06:56,640 --> 00:06:58,760 Speaker 1: to their cars and trying to get away from the 121 00:06:58,880 --> 00:07:03,120 Speaker 1: US coasts because we're afraid of the alien invasion and 122 00:07:03,360 --> 00:07:07,159 Speaker 1: we're in an equivalent state now we're one way or another. 123 00:07:07,279 --> 00:07:09,800 Speaker 1: Almost every piece of media that we're looking at is 124 00:07:09,800 --> 00:07:12,920 Speaker 1: telling us you are in danger. You know, the world 125 00:07:13,120 --> 00:07:16,800 Speaker 1: is ending. These people are not your friends, and that's 126 00:07:16,840 --> 00:07:18,840 Speaker 1: what I'm trying to fight against. That's why I keep 127 00:07:19,080 --> 00:07:21,840 Speaker 1: I came up with this kind of this team human meme. 128 00:07:22,120 --> 00:07:24,600 Speaker 1: You know, partly it's to say, like, team human against 129 00:07:24,640 --> 00:07:26,560 Speaker 1: the robots. You know that I don't think we're going 130 00:07:26,640 --> 00:07:29,480 Speaker 1: to get replaced. I don't want to upload my consciousness 131 00:07:29,480 --> 00:07:31,760 Speaker 1: to a chip. I think you know that, even if 132 00:07:31,760 --> 00:07:34,840 Speaker 1: this singularity is coming, I don't think human beings have 133 00:07:34,920 --> 00:07:39,040 Speaker 1: to pass the evolutionary torch to our robot successors and 134 00:07:39,120 --> 00:07:42,760 Speaker 1: accept our inevitable extinction. I think we deserve a place 135 00:07:43,160 --> 00:07:46,720 Speaker 1: in the digital future. But I'm also arguing that being 136 00:07:46,840 --> 00:07:49,640 Speaker 1: human is a team sport. You know, we've bought this 137 00:07:49,840 --> 00:07:53,600 Speaker 1: really cock and made me understanding of evolution as competition 138 00:07:53,720 --> 00:07:57,400 Speaker 1: for survival between everybody. Evolutions no more the story of 139 00:07:57,440 --> 00:08:00,600 Speaker 1: competition than it is of collaboration. Of the way that 140 00:08:00,720 --> 00:08:04,520 Speaker 1: trees share resources through their root systems. They're not crowding 141 00:08:04,560 --> 00:08:07,760 Speaker 1: each other out for sunlight. They're sharing their energy with 142 00:08:07,800 --> 00:08:11,960 Speaker 1: one another through a living system of roots and mushrooms 143 00:08:12,000 --> 00:08:15,280 Speaker 1: that take a service feed for the transfer, and human 144 00:08:15,320 --> 00:08:18,120 Speaker 1: beings are like that too. We're at our best when 145 00:08:18,160 --> 00:08:21,480 Speaker 1: we're when we're connected for real to one another, which 146 00:08:21,560 --> 00:08:24,239 Speaker 1: was the original intent of the Internet. I was there. 147 00:08:24,360 --> 00:08:28,480 Speaker 1: I remember these were loving, open minded, kind of hippie 148 00:08:28,560 --> 00:08:33,240 Speaker 1: psychedelic people, thinking that the Internet could connect humanity, could 149 00:08:33,240 --> 00:08:36,199 Speaker 1: be the brain for the you know, for the spirit 150 00:08:36,240 --> 00:08:40,520 Speaker 1: of Gaia on the planet way out. But we're using 151 00:08:40,520 --> 00:08:43,040 Speaker 1: it for the opposite now, we're using it to divide 152 00:08:43,080 --> 00:08:46,320 Speaker 1: and conquer and to you to really to amplify some 153 00:08:46,400 --> 00:08:52,480 Speaker 1: of the oldest and most extractive anti human agendas that 154 00:08:52,880 --> 00:08:58,160 Speaker 1: you know, the original the original dominator agenda of Pharaoh, 155 00:08:58,200 --> 00:09:01,320 Speaker 1: you know, is really coming through these technologies to say, 156 00:09:01,520 --> 00:09:06,360 Speaker 1: I am opposed to driverless vehicles, especially driverless trucks, because 157 00:09:06,400 --> 00:09:08,160 Speaker 1: I don't want to see our truck drivers put out 158 00:09:08,160 --> 00:09:13,080 Speaker 1: of work. Hasn't the technology going so far? It's going 159 00:09:13,120 --> 00:09:17,640 Speaker 1: too far? Yeah, well, I mean it. The idea of 160 00:09:17,679 --> 00:09:21,040 Speaker 1: an automatic truck is not bad in itself. It's more 161 00:09:21,040 --> 00:09:25,480 Speaker 1: a matter of we're using it to amplify the worst 162 00:09:25,559 --> 00:09:31,359 Speaker 1: effects of an extractive economy. You know, we're taking drivers 163 00:09:31,520 --> 00:09:34,679 Speaker 1: and they're not only driving the vehicle, right, and they 164 00:09:34,679 --> 00:09:36,880 Speaker 1: should be paid for that. They're driving the vehicle across 165 00:09:36,920 --> 00:09:40,679 Speaker 1: the country, but they're also training their robot replacements in 166 00:09:40,760 --> 00:09:44,559 Speaker 1: real time as they drive. You know, every Uber driver 167 00:09:44,720 --> 00:09:50,840 Speaker 1: out there is not just getting slave wages for driving 168 00:09:50,920 --> 00:09:52,760 Speaker 1: us around when they could when they could be or 169 00:09:52,800 --> 00:09:55,319 Speaker 1: should be driving a cab like a human being. But 170 00:09:55,400 --> 00:09:59,680 Speaker 1: they're training their replacements. If they if they owned the company, 171 00:09:59,720 --> 00:10:02,120 Speaker 1: if with some kind of a cooperative then at least 172 00:10:02,400 --> 00:10:05,040 Speaker 1: they're going to have shares in the robot, you know. Sure, 173 00:10:05,280 --> 00:10:09,080 Speaker 1: but they don't. Now they don't. They're being exploited, as 174 00:10:09,160 --> 00:10:12,880 Speaker 1: are all. I mean, and truckers understand it better better 175 00:10:12,920 --> 00:10:15,880 Speaker 1: than anybody. Construction workers too, if they look at their 176 00:10:15,880 --> 00:10:19,439 Speaker 1: construction material, the machines they're using now, you know, the 177 00:10:19,920 --> 00:10:23,120 Speaker 1: Caterpillar and John Deere and everything else. There's AI on 178 00:10:23,160 --> 00:10:25,960 Speaker 1: these things, you know, And that's not just to help 179 00:10:26,040 --> 00:10:29,480 Speaker 1: the construction person build a better place. Is to teach 180 00:10:29,640 --> 00:10:32,559 Speaker 1: the machine how to do it without the human being, 181 00:10:32,880 --> 00:10:34,760 Speaker 1: you know. And that would be fine if you're gonna 182 00:10:34,800 --> 00:10:37,640 Speaker 1: pay the person. Say, look, you've trained all our trucks. 183 00:10:37,679 --> 00:10:41,360 Speaker 1: You and your family now get royalties on these trucks forever. 184 00:10:41,920 --> 00:10:44,080 Speaker 1: That's great, you know, and then you can do something else, 185 00:10:44,160 --> 00:10:46,960 Speaker 1: you know, learn, learn other things if you want. But 186 00:10:46,960 --> 00:10:49,880 Speaker 1: but that's not what they're saying. They're just want to 187 00:10:49,920 --> 00:10:55,360 Speaker 1: replace and discard. They're discarding the human contribution. That's every 188 00:10:55,360 --> 00:10:57,920 Speaker 1: single digital business plan has to do with, how do 189 00:10:57,960 --> 00:11:00,959 Speaker 1: we have less people? How do we get rid of 190 00:11:01,000 --> 00:11:04,840 Speaker 1: the people and save money doing it? Right? What's the 191 00:11:04,960 --> 00:11:08,480 Speaker 1: upside to this kind of technology? Is there any Well, 192 00:11:08,480 --> 00:11:11,560 Speaker 1: there's a lot of upsides if we can if we 193 00:11:11,600 --> 00:11:15,440 Speaker 1: can embed them with human values. I mean, I've got 194 00:11:15,480 --> 00:11:20,000 Speaker 1: no problem with uh, you know, robots chilling the soil 195 00:11:20,360 --> 00:11:22,439 Speaker 1: and the farmer getting to spend a lot of time 196 00:11:22,800 --> 00:11:25,360 Speaker 1: watching his robots and drinking iced tea as they do 197 00:11:25,400 --> 00:11:28,520 Speaker 1: the work. You know, there there is a future, a 198 00:11:28,640 --> 00:11:32,040 Speaker 1: balanced future where we use technology to do things that 199 00:11:32,080 --> 00:11:35,640 Speaker 1: are you know, difficult or or painful for human beings 200 00:11:35,640 --> 00:11:39,240 Speaker 1: to do. You know, right right now, to build a 201 00:11:39,320 --> 00:11:41,760 Speaker 1: cell phone, they still have to send a kid in 202 00:11:41,800 --> 00:11:44,800 Speaker 1: Africa into a cave at gunpoint to get their rare 203 00:11:44,840 --> 00:11:48,680 Speaker 1: earth metals. No, that's that's blood on our hands, you know, 204 00:11:48,840 --> 00:11:52,000 Speaker 1: these are these are not it's just like blood diamonds. 205 00:11:52,040 --> 00:11:55,920 Speaker 1: These rare earth metals are are are dangerous to get 206 00:11:56,040 --> 00:11:58,200 Speaker 1: I mean, so sure we could be using tech to 207 00:11:58,280 --> 00:12:00,959 Speaker 1: do that, but it's really a matter of looking at 208 00:12:01,000 --> 00:12:05,120 Speaker 1: what technology do people need, rather than what technology can 209 00:12:05,160 --> 00:12:10,120 Speaker 1: we build to exploit people more, to repress their humanity, 210 00:12:10,160 --> 00:12:12,280 Speaker 1: to keep them from talking to each other, to take 211 00:12:12,679 --> 00:12:15,000 Speaker 1: more of their stuff. You know, we're looking at a 212 00:12:15,240 --> 00:12:19,240 Speaker 1: very old what the Native Americans called a disease. You know, 213 00:12:19,320 --> 00:12:24,319 Speaker 1: when the colonizers came to North America, they thought that 214 00:12:24,480 --> 00:12:26,880 Speaker 1: they had such faith in humans. They couldn't believe that 215 00:12:26,920 --> 00:12:29,560 Speaker 1: we would just tear down forests and enslave people and 216 00:12:29,640 --> 00:12:31,920 Speaker 1: kill like that. So they said we had a disease 217 00:12:31,960 --> 00:12:34,400 Speaker 1: that they called it wetico. They thought it was a 218 00:12:34,440 --> 00:12:37,600 Speaker 1: spiritual disease that led us to want to just dominate 219 00:12:37,679 --> 00:12:40,920 Speaker 1: others and take their things and extract their value. And 220 00:12:40,960 --> 00:12:44,360 Speaker 1: I think we're still suffering from that disease that we 221 00:12:44,440 --> 00:12:50,760 Speaker 1: don't realize that it's so much easier to include your 222 00:12:50,800 --> 00:12:54,360 Speaker 1: neighbors in the profit that you're making rather than to 223 00:12:54,480 --> 00:12:57,840 Speaker 1: try to exclude them, that your success is not dependent 224 00:12:57,880 --> 00:13:02,040 Speaker 1: on someone else's failure, that you better when everyone does better. 225 00:13:02,120 --> 00:13:04,880 Speaker 1: We need to teach even Walmart, we have to teach them, no, 226 00:13:05,280 --> 00:13:09,359 Speaker 1: you know, that actually, if your customers and employees are wealthier, 227 00:13:09,800 --> 00:13:12,000 Speaker 1: you're going to do better as a business, not worse. 228 00:13:12,080 --> 00:13:15,480 Speaker 1: The wealthier your customers are before they can spend with you. 229 00:13:15,640 --> 00:13:21,400 Speaker 1: That's right, Douglas, and that simple. With the way things 230 00:13:21,400 --> 00:13:25,400 Speaker 1: are moving here, we are twenty twenty. What do you 231 00:13:25,480 --> 00:13:28,520 Speaker 1: think things will look like and be like in twenty 232 00:13:28,559 --> 00:13:31,640 Speaker 1: twenty five, only five years from now, which will be 233 00:13:32,000 --> 00:13:35,480 Speaker 1: like that? It's interesting, you know. It's it's easier for 234 00:13:35,559 --> 00:13:38,960 Speaker 1: us to imagine like the zombie apocalypse of the future 235 00:13:39,040 --> 00:13:41,839 Speaker 1: of fifty years from now than it is to imagine 236 00:13:41,920 --> 00:13:45,640 Speaker 1: what happens just five years from now. I mean, I 237 00:13:45,800 --> 00:13:49,680 Speaker 1: have to believe that over the next five years more 238 00:13:49,720 --> 00:13:52,080 Speaker 1: people are going to wake up to what it is 239 00:13:52,120 --> 00:13:54,960 Speaker 1: that we're talking about here, you know, either because they're 240 00:13:55,000 --> 00:13:57,800 Speaker 1: too poor to keep buying all of this tech. Eventually 241 00:13:57,800 --> 00:14:00,640 Speaker 1: you just can't get the iPhone twenty or the Android 242 00:14:01,080 --> 00:14:05,280 Speaker 1: one thousand, you know, and as you all behind things 243 00:14:05,280 --> 00:14:06,840 Speaker 1: start to work. I mean it's like, oh, I can't 244 00:14:06,920 --> 00:14:09,439 Speaker 1: use that app, and you start to look up. I mean, 245 00:14:09,679 --> 00:14:11,840 Speaker 1: what I'm doing in New York now, and I'm starting 246 00:14:11,840 --> 00:14:14,680 Speaker 1: to notice it turning around. I walked around the streets 247 00:14:14,679 --> 00:14:17,240 Speaker 1: and I never have my cell phone and never looking 248 00:14:17,280 --> 00:14:20,040 Speaker 1: at it, but I always see like everybody just staring 249 00:14:20,040 --> 00:14:22,520 Speaker 1: in their phones as their well I can't I can't 250 00:14:22,600 --> 00:14:25,760 Speaker 1: believe they don't smash in the poles and other people 251 00:14:25,880 --> 00:14:28,840 Speaker 1: into each other, into the street and the taxi kats. 252 00:14:29,040 --> 00:14:31,440 Speaker 1: But every once in a while, I noticed somebody else 253 00:14:31,520 --> 00:14:34,760 Speaker 1: looking up, and I make eye contact with that person, 254 00:14:34,800 --> 00:14:37,120 Speaker 1: and it feels like we're in a secret club of 255 00:14:37,240 --> 00:14:40,640 Speaker 1: the humans, like a body snatchers, Like, oh, there's another 256 00:14:40,680 --> 00:14:43,960 Speaker 1: one who hasn't been snatched. But I'm finding now over 257 00:14:44,000 --> 00:14:46,440 Speaker 1: the last year, more and more people are looking up. 258 00:14:46,680 --> 00:14:49,440 Speaker 1: I'm having that experience more and more. So I think 259 00:14:49,800 --> 00:14:53,800 Speaker 1: people are realizing they're getting almost nauseous with their devices. 260 00:14:53,880 --> 00:14:56,840 Speaker 1: And and yes, I know, you know your nephew or 261 00:14:56,840 --> 00:14:58,800 Speaker 1: your cousin is on Facebook and they had a kid 262 00:14:58,880 --> 00:15:01,560 Speaker 1: or whatever, but you could just find out about that 263 00:15:01,640 --> 00:15:04,000 Speaker 1: and okay, great, but they're not here right now. There's 264 00:15:04,040 --> 00:15:07,040 Speaker 1: somebody is here right now. There's your neighbor, there's your coworker, 265 00:15:07,080 --> 00:15:11,040 Speaker 1: there's your friend. And these people are coming to the 266 00:15:11,480 --> 00:15:16,200 Speaker 1: realization that their real world experiences have so much more 267 00:15:16,480 --> 00:15:20,640 Speaker 1: bandwidth to you the tech term, than any Skype connection 268 00:15:20,720 --> 00:15:23,960 Speaker 1: that you can establish rapport. Look into someone's eyes, see 269 00:15:23,960 --> 00:15:26,480 Speaker 1: if their pupils are getting larger or smaller, See if 270 00:15:26,480 --> 00:15:29,880 Speaker 1: they're breathing, is sinking up with yours? That you know, 271 00:15:30,120 --> 00:15:33,880 Speaker 1: it fires the mirror neurons in your brain and releases 272 00:15:33,920 --> 00:15:37,520 Speaker 1: oxytocin into your bloodstream, which is the bonding hormone, and 273 00:15:37,560 --> 00:15:40,560 Speaker 1: all of a sudden, you feel really different. You don't 274 00:15:40,600 --> 00:15:44,800 Speaker 1: feel alone. You've found another person, You've begun on that process. 275 00:15:44,840 --> 00:15:47,240 Speaker 1: So I think five years from now we will be 276 00:15:47,680 --> 00:15:49,840 Speaker 1: much more social. I think we're going to look back 277 00:15:50,200 --> 00:15:53,040 Speaker 1: on this red blue state thing just five years from 278 00:15:53,080 --> 00:15:57,040 Speaker 1: now and realize, oh wow, that's not us. They did 279 00:15:57,120 --> 00:15:59,240 Speaker 1: that to us. I'm not a red person, I'm not 280 00:15:59,280 --> 00:16:02,520 Speaker 1: a blue person. I'm just a person. And this whole 281 00:16:02,560 --> 00:16:05,680 Speaker 1: thing has been imposed on us by an industry that's 282 00:16:05,720 --> 00:16:08,800 Speaker 1: looking to make money off these days. That's that's the 283 00:16:08,880 --> 00:16:11,880 Speaker 1: name of the game for them. Yep, yep. And they 284 00:16:11,920 --> 00:16:13,680 Speaker 1: don't need it. That's the thing. When you look at 285 00:16:13,760 --> 00:16:17,000 Speaker 1: Zuckerberg with his billions, they don't even need it. They 286 00:16:17,040 --> 00:16:21,000 Speaker 1: don't need that money. It's just they're just as as 287 00:16:21,040 --> 00:16:24,880 Speaker 1: addicted to this as anybody out Listen to more Coast 288 00:16:24,920 --> 00:16:28,560 Speaker 1: to Coast AM every weeknight at one am Eastern, and 289 00:16:28,760 --> 00:16:31,160 Speaker 1: go to Coast to Coast am dot com for more