1 00:00:00,040 --> 00:00:02,440 Speaker 1: Well, we like any opportunity to give a good kick 2 00:00:02,480 --> 00:00:09,560 Speaker 1: in to one Mark Zucker. Well, that is true. I've 3 00:00:09,600 --> 00:00:12,320 Speaker 1: been looking forward to this interview since we booked at 4 00:00:12,760 --> 00:00:17,200 Speaker 1: Roger mcnabee is a tech ventury capitalist writer, a thinker, 5 00:00:17,239 --> 00:00:19,799 Speaker 1: also a musician, and he's written a book called Zucked 6 00:00:19,880 --> 00:00:24,520 Speaker 1: Waking Up to the Facebook Catastrophe. Roger, welcome, How are you, sir? 7 00:00:24,800 --> 00:00:26,639 Speaker 1: I am really well, it's so much fun to be 8 00:00:26,680 --> 00:00:28,480 Speaker 1: on the show with you. Guys. Oh, that's that's nice 9 00:00:28,480 --> 00:00:29,880 Speaker 1: of you to say. I see you went to a 10 00:00:29,960 --> 00:00:33,800 Speaker 1: Yale bribe or merit, you know. I actually it was 11 00:00:33,840 --> 00:00:37,239 Speaker 1: worse than that. It was random dumb luck and uh 12 00:00:37,400 --> 00:00:39,839 Speaker 1: no I was. I was. I was back in the 13 00:00:39,920 --> 00:00:43,879 Speaker 1: days before bribe or merit even mattered. Really, you just 14 00:00:43,960 --> 00:00:46,880 Speaker 1: got picked. I'm that old. Yeah, well you've done well, 15 00:00:47,000 --> 00:00:51,959 Speaker 1: so so good for you. Hey, listen the title, that's 16 00:00:51,960 --> 00:00:54,920 Speaker 1: a strong word, Waking up to the Facebook Catastrophe. Do 17 00:00:55,040 --> 00:00:58,040 Speaker 1: tell so you know guys. Here, here's what the issue is. 18 00:00:58,240 --> 00:01:01,760 Speaker 1: That we as consumers love using internet products, right. We 19 00:01:01,920 --> 00:01:04,520 Speaker 1: love the fun, we love the convenience, we love the 20 00:01:04,560 --> 00:01:08,680 Speaker 1: productivity that come from them. But our understanding of the 21 00:01:08,680 --> 00:01:10,480 Speaker 1: deal that we have with them, which is that we 22 00:01:10,520 --> 00:01:13,000 Speaker 1: give up our data. They give us this really cool 23 00:01:13,280 --> 00:01:17,120 Speaker 1: personalized surface is not what's actually going on. What's actually 24 00:01:17,120 --> 00:01:19,840 Speaker 1: going on is that these guys do that, but they 25 00:01:19,840 --> 00:01:23,760 Speaker 1: are now building businesses that are designed to essentially manipulate 26 00:01:23,959 --> 00:01:26,200 Speaker 1: us in ways we're not aware. And I'll give you 27 00:01:26,200 --> 00:01:31,160 Speaker 1: a couple examples, like Google. Right when you think about uh, Gmail, 28 00:01:31,160 --> 00:01:33,920 Speaker 1: which is something so many of us use, right, we 29 00:01:33,920 --> 00:01:36,320 Speaker 1: we originally signed up with a deal that said Google, 30 00:01:36,440 --> 00:01:40,440 Speaker 1: you may scan our emails, uh, because you're gonna put 31 00:01:40,440 --> 00:01:43,720 Speaker 1: targeted advertising in in order to pay for the service. 32 00:01:44,360 --> 00:01:46,080 Speaker 1: But then we discover we didn't like the ads, so 33 00:01:46,120 --> 00:01:49,280 Speaker 1: Google remove the ads, but they're still scanning our emails. Now, 34 00:01:49,280 --> 00:01:51,080 Speaker 1: I want you to think about this for just a minute. 35 00:01:51,600 --> 00:01:56,480 Speaker 1: You know all of us send letters, we send packages 36 00:01:56,520 --> 00:01:59,440 Speaker 1: with fat as, we use the phone company. In those cases, 37 00:01:59,480 --> 00:02:02,760 Speaker 1: those company these are called common carriers. They transport. They're 38 00:02:02,800 --> 00:02:05,760 Speaker 1: not allowed to spy on what we're doing. And Google 39 00:02:05,760 --> 00:02:08,720 Speaker 1: would tell the federal government, hang on, We're a platform, 40 00:02:08,800 --> 00:02:11,440 Speaker 1: not a media company. You can't hold us to the rules. Right. 41 00:02:11,600 --> 00:02:13,840 Speaker 1: You guys are have all these rules because you're a 42 00:02:13,840 --> 00:02:16,520 Speaker 1: media company, you're responsible for the content you put out. 43 00:02:16,680 --> 00:02:18,480 Speaker 1: Google says you can't hold a response to that. You 44 00:02:18,480 --> 00:02:20,280 Speaker 1: have to treat us as a platform, which is like 45 00:02:20,360 --> 00:02:23,320 Speaker 1: a telephone company or like a postal service. And yet 46 00:02:23,480 --> 00:02:26,800 Speaker 1: they scanned the contents of the messages and we, you know, 47 00:02:26,840 --> 00:02:29,280 Speaker 1: we're not aware that what they're doing is they're gathering 48 00:02:29,360 --> 00:02:36,040 Speaker 1: data on our behavior in order to essentially affect our future, 49 00:02:36,080 --> 00:02:38,120 Speaker 1: to give us choices that we're not aware that we're 50 00:02:38,120 --> 00:02:41,040 Speaker 1: being limited to. And it's very harmful. With Pokemon going, 51 00:02:41,040 --> 00:02:44,320 Speaker 1: do you guys remember Pokemon Going? So that got created 52 00:02:44,360 --> 00:02:47,280 Speaker 1: inside Google's labs, and we think we're going out there 53 00:02:47,280 --> 00:02:49,160 Speaker 1: and just playing this really fun game. Let me tell 54 00:02:49,160 --> 00:02:51,160 Speaker 1: you what's really going on. What's going on is they 55 00:02:51,240 --> 00:02:54,680 Speaker 1: got a billion people going around with their cameras taking 56 00:02:54,720 --> 00:02:57,040 Speaker 1: pictures of everything they were doing. So they would use 57 00:02:57,040 --> 00:02:59,880 Speaker 1: it for image recognition, they would do it to follow roots. 58 00:03:00,120 --> 00:03:03,359 Speaker 1: But then they did a behavioral manipulation experiment. They wanted 59 00:03:03,400 --> 00:03:05,520 Speaker 1: to see, if we put a Pokemon in private property, 60 00:03:05,520 --> 00:03:08,200 Speaker 1: can we get you to knock on stranger's door, climb 61 00:03:08,240 --> 00:03:12,080 Speaker 1: over a fence, yes we could. And if we put 62 00:03:12,080 --> 00:03:13,960 Speaker 1: a Pokemon in a Starbucks, can we get you to 63 00:03:13,960 --> 00:03:16,920 Speaker 1: go in and buy a cup? Of coffee. Yes, we could. Now, 64 00:03:16,960 --> 00:03:18,840 Speaker 1: how about if we put it in the third Starbucks 65 00:03:18,880 --> 00:03:21,000 Speaker 1: on the street further away and we gave you ten 66 00:03:21,040 --> 00:03:23,400 Speaker 1: cents off, would you behave that way? And you know 67 00:03:23,440 --> 00:03:25,919 Speaker 1: when we use Google Maps, same thing. You know, the 68 00:03:26,000 --> 00:03:29,080 Speaker 1: route says hey, take this weird looking route right, and 69 00:03:29,160 --> 00:03:30,760 Speaker 1: we think, well, that's going to be faster, and it 70 00:03:30,760 --> 00:03:34,240 Speaker 1: turns out it's not. Google's purpose with Google Maps is 71 00:03:34,280 --> 00:03:37,200 Speaker 1: not to get us to our destination faster, is to 72 00:03:37,240 --> 00:03:39,280 Speaker 1: make sure they gather all the data on the speed 73 00:03:39,280 --> 00:03:42,040 Speaker 1: of all the roots, and so they need some people 74 00:03:42,080 --> 00:03:45,160 Speaker 1: to take inferior roots some of the times. Well that's interesting. 75 00:03:45,640 --> 00:03:47,280 Speaker 1: I don't take that route, by the way, and I 76 00:03:47,360 --> 00:03:49,800 Speaker 1: never have because I've always looked at and thought that's 77 00:03:49,920 --> 00:03:52,440 Speaker 1: their system is flawed to think that's the best way 78 00:03:52,440 --> 00:03:55,040 Speaker 1: to get there, better way to get it. They know 79 00:03:55,120 --> 00:03:57,560 Speaker 1: it's not the best way to get there. Interesting. So 80 00:03:57,600 --> 00:03:59,520 Speaker 1: my point is we think the deal we have us, 81 00:03:59,520 --> 00:04:02,440 Speaker 1: we're given them data so we get a better service. 82 00:04:02,640 --> 00:04:04,520 Speaker 1: And that is a small part of what's going on. 83 00:04:04,960 --> 00:04:08,240 Speaker 1: But now increasingly what's going on is they're running these 84 00:04:08,280 --> 00:04:13,360 Speaker 1: manipulation experiments. They're essentially recognizing there's a lot of data 85 00:04:13,400 --> 00:04:15,280 Speaker 1: in the world, and if they gather at all, they 86 00:04:15,280 --> 00:04:17,600 Speaker 1: can make the world more efficient. The problem is when 87 00:04:17,600 --> 00:04:20,000 Speaker 1: they make the world more efficient, they're taking choices away 88 00:04:20,040 --> 00:04:22,640 Speaker 1: from us, and we're not conscious of that. And so 89 00:04:22,680 --> 00:04:24,039 Speaker 1: a big part of what I'm trying to do is 90 00:04:24,120 --> 00:04:25,880 Speaker 1: just say to people, wait a minute. The way they're 91 00:04:25,920 --> 00:04:29,400 Speaker 1: doing this is they have said said they own all 92 00:04:29,440 --> 00:04:31,600 Speaker 1: this data. Right, they take pictures of your house, they 93 00:04:31,600 --> 00:04:34,320 Speaker 1: say they own it. They take pictures of you know 94 00:04:34,440 --> 00:04:37,440 Speaker 1: through Pokemon Go, they say they own that. They go 95 00:04:37,480 --> 00:04:42,799 Speaker 1: and buy your most intimate financial data, health data, location data, 96 00:04:42,920 --> 00:04:45,720 Speaker 1: They get your browser history, they scan your emails, they 97 00:04:45,760 --> 00:04:48,440 Speaker 1: scan your documents, and they say they own all that 98 00:04:48,520 --> 00:04:51,160 Speaker 1: and they can use it for their commercial purposes. And 99 00:04:51,200 --> 00:04:53,880 Speaker 1: the problem is while they do all that kind of stuff, 100 00:04:54,680 --> 00:04:57,279 Speaker 1: they set up an environment where we're all being controlled 101 00:04:57,279 --> 00:05:00,640 Speaker 1: like lab rats, and bad guys can take advantage of 102 00:05:00,680 --> 00:05:03,200 Speaker 1: all those same tools. And that's how you wind up 103 00:05:03,200 --> 00:05:06,400 Speaker 1: with terrorism in New Zealand. That's how you wind up 104 00:05:06,440 --> 00:05:10,599 Speaker 1: with election interference in Brexit in the United Kingdom, That's 105 00:05:10,600 --> 00:05:13,960 Speaker 1: how you wind up with ethnic cleansing in Mean Mar 106 00:05:14,839 --> 00:05:18,440 Speaker 1: And so we've got this situation where the cost of 107 00:05:18,480 --> 00:05:22,240 Speaker 1: these really fun Services is starting to get to be really, really, 108 00:05:22,279 --> 00:05:24,680 Speaker 1: really high. Roger McNamee is on the line. The book 109 00:05:24,720 --> 00:05:27,279 Speaker 1: is zucked waking up to the Facebook catastrophe. Listen, we 110 00:05:27,279 --> 00:05:29,000 Speaker 1: could talk to you all day about this, and we 111 00:05:29,000 --> 00:05:31,040 Speaker 1: ought to drag you back for a longer form podcast, 112 00:05:31,080 --> 00:05:33,280 Speaker 1: but I want to hit some highlights and the time 113 00:05:33,320 --> 00:05:38,800 Speaker 1: we have and the manipulation of our animal brains, the 114 00:05:38,960 --> 00:05:42,120 Speaker 1: tiny shots of endorphin, the hooking of stuff I find 115 00:05:42,160 --> 00:05:44,920 Speaker 1: fascinating is it is scary. So the way it works 116 00:05:44,960 --> 00:05:47,240 Speaker 1: is really simple. They got to get you. They're competing 117 00:05:47,240 --> 00:05:49,400 Speaker 1: against all these other media, they compete against your show. 118 00:05:49,839 --> 00:05:52,359 Speaker 1: So how do they do that. They use the same 119 00:05:52,400 --> 00:05:54,720 Speaker 1: things that markets have always used. They appeal to our 120 00:05:54,839 --> 00:05:58,159 Speaker 1: need for rewards. They give us notifications. But the difference 121 00:05:58,160 --> 00:06:02,440 Speaker 1: in radio, everybody gets same message. On Facebook and Google, 122 00:06:03,120 --> 00:06:05,400 Speaker 1: they can tailor it precisely to you, and once they 123 00:06:05,440 --> 00:06:08,520 Speaker 1: get you on right, they want to make a habit. 124 00:06:08,760 --> 00:06:11,400 Speaker 1: But for many of us, the habit turns into an addition. 125 00:06:11,440 --> 00:06:13,640 Speaker 1: Like I asked people, you want to know if you're addicted, 126 00:06:14,000 --> 00:06:16,080 Speaker 1: when do you check your phone first thing in the morning. 127 00:06:16,360 --> 00:06:20,760 Speaker 1: Is it before you pee or while you're peeing? Right? 128 00:06:21,000 --> 00:06:23,640 Speaker 1: Because for most of us that full range, right. I mean, 129 00:06:23,640 --> 00:06:25,280 Speaker 1: by the time you've done peeing, you've been checking your 130 00:06:25,279 --> 00:06:28,120 Speaker 1: phone for a minute. So once they get you, then 131 00:06:28,160 --> 00:06:32,240 Speaker 1: they want to probably about two minutes. Well then you 132 00:06:32,240 --> 00:06:34,880 Speaker 1: get to read a lot more, right, But basically, once 133 00:06:34,920 --> 00:06:37,520 Speaker 1: they've got you, then they got to keep you. And 134 00:06:37,560 --> 00:06:39,920 Speaker 1: the way they do that is they find the stuff 135 00:06:39,920 --> 00:06:43,520 Speaker 1: that most animates us, and it turns out, unfortunately that's 136 00:06:43,520 --> 00:06:46,000 Speaker 1: going to be stuff that makes us afraid, or stuff 137 00:06:46,040 --> 00:06:50,919 Speaker 1: that makes us outraged, or its conspiracy theories and disinformation. 138 00:06:51,120 --> 00:06:54,799 Speaker 1: And the problem with this is that it just it's universal. 139 00:06:54,920 --> 00:06:58,240 Speaker 1: You know, you see somebody's perfect vacation on Instagram, you 140 00:06:58,279 --> 00:07:00,320 Speaker 1: know you might be jealous, but if some he makes 141 00:07:00,320 --> 00:07:02,640 Speaker 1: you afraid, you're gonna share it. And you're gonna share 142 00:07:02,680 --> 00:07:05,719 Speaker 1: it because if you're afraid and others join you in 143 00:07:05,760 --> 00:07:09,160 Speaker 1: that fear, you relax. It's a herd mentality and they're 144 00:07:09,240 --> 00:07:12,600 Speaker 1: so good at it, like you. I mostly my weakness 145 00:07:12,720 --> 00:07:15,400 Speaker 1: is YouTube around this, which is owned by Google, and 146 00:07:15,440 --> 00:07:18,160 Speaker 1: they have figured out my life so well. When I 147 00:07:18,320 --> 00:07:21,440 Speaker 1: throw on YouTube, it's just a list of things I'm 148 00:07:21,480 --> 00:07:24,440 Speaker 1: interested in. I mean, they know all my favorite you know, 149 00:07:24,800 --> 00:07:29,920 Speaker 1: history authors, guitar stores, just all my favorite stuff, baby monkeys, 150 00:07:29,960 --> 00:07:32,320 Speaker 1: the top swine, that sort. They've got me figured out 151 00:07:32,360 --> 00:07:34,160 Speaker 1: completely as to what's going to get here around there, 152 00:07:34,240 --> 00:07:36,880 Speaker 1: here's the problem with it. Okay, we said, were hang on, 153 00:07:37,000 --> 00:07:38,640 Speaker 1: just get rid of the hate speech, get rid of 154 00:07:38,640 --> 00:07:43,080 Speaker 1: the disinformation. But they can't because the business model is 155 00:07:43,120 --> 00:07:45,160 Speaker 1: based on knowing who you really are, and when we're 156 00:07:45,160 --> 00:07:47,360 Speaker 1: going out in public, we have our best selves on. 157 00:07:47,840 --> 00:07:49,760 Speaker 1: But they need to get past that. They need to 158 00:07:49,800 --> 00:07:52,920 Speaker 1: see how we react to outrage, how do we react 159 00:07:52,920 --> 00:07:55,280 Speaker 1: to fear? How do we react you know, if they 160 00:07:55,320 --> 00:07:57,640 Speaker 1: show us something that's anti Semitic, how do we react 161 00:07:57,640 --> 00:07:59,960 Speaker 1: to that. If they show us something that's anti immigrant, 162 00:08:00,040 --> 00:08:03,040 Speaker 1: how do we react to that? And they need that 163 00:08:03,120 --> 00:08:06,160 Speaker 1: information to make the business model work, and in the process, 164 00:08:06,200 --> 00:08:09,840 Speaker 1: that causes polarization. Right, It causes to be angry at 165 00:08:09,840 --> 00:08:12,240 Speaker 1: people who frankly have a lot in common with us, 166 00:08:12,360 --> 00:08:15,680 Speaker 1: but we may disagree on one topic topic and that's 167 00:08:15,680 --> 00:08:17,840 Speaker 1: what's unhealthy about it. And that's what I'm trying to 168 00:08:17,880 --> 00:08:20,640 Speaker 1: get people to do. Uh, to step back and just 169 00:08:20,680 --> 00:08:24,080 Speaker 1: ask the question. The business model is based on having 170 00:08:24,120 --> 00:08:27,960 Speaker 1: our most personal data. Why is it legal for Google 171 00:08:27,960 --> 00:08:30,560 Speaker 1: and other people to scan our emails and documents. It 172 00:08:30,560 --> 00:08:32,560 Speaker 1: shouldn't be. They should be treated like the postal service. 173 00:08:32,880 --> 00:08:35,320 Speaker 1: Why is it legal for them to trade our personal 174 00:08:35,360 --> 00:08:38,000 Speaker 1: health information in a doctor's office? They can't do that. 175 00:08:38,600 --> 00:08:40,520 Speaker 1: Why is it legal for them to get our most 176 00:08:40,520 --> 00:08:45,720 Speaker 1: personal financial information without our understanding, approval and support. Well, 177 00:08:45,800 --> 00:08:48,280 Speaker 1: the same thing for location. And I think once we 178 00:08:48,320 --> 00:08:51,400 Speaker 1: have these conversations what I've discovered. If I'm on Fox, 179 00:08:51,679 --> 00:08:55,280 Speaker 1: everybody agrees, If I'm on MSNBC, everybody agrees. Well, now 180 00:08:55,320 --> 00:08:58,480 Speaker 1: that's interesting, right, this is about right and wrong, not 181 00:08:58,640 --> 00:09:01,840 Speaker 1: right and left, And so everybody goes, yeah, you're right. 182 00:09:01,880 --> 00:09:04,720 Speaker 1: I don't want to be controlled by some corporation. But 183 00:09:04,800 --> 00:09:07,480 Speaker 1: that's what's going on. They're manipulating us. And my point 184 00:09:07,520 --> 00:09:09,400 Speaker 1: it's not because they're bad people, it's because there are 185 00:09:09,440 --> 00:09:12,280 Speaker 1: no rules. Now, Roger, I don't know a lot about you, 186 00:09:12,320 --> 00:09:14,720 Speaker 1: but I have reason to believe that that you're able 187 00:09:14,760 --> 00:09:16,880 Speaker 1: to make your rent and have a little money left 188 00:09:16,920 --> 00:09:19,160 Speaker 1: over to spend. We'll just leave it there. Um, but 189 00:09:19,280 --> 00:09:25,000 Speaker 1: obviously you were really really motivated to write this book. Um. 190 00:09:25,520 --> 00:09:28,040 Speaker 1: Was there a moment, was there a particular realization that 191 00:09:28,120 --> 00:09:30,000 Speaker 1: made you think I'm going to spend the next several 192 00:09:30,080 --> 00:09:33,000 Speaker 1: years of my life fighting this stuff. There was so 193 00:09:33,400 --> 00:09:35,800 Speaker 1: I was at one time a mentor to Mark Zuckerberg 194 00:09:35,840 --> 00:09:38,960 Speaker 1: and Cheryl Sandberg and UM. But that was early in 195 00:09:38,960 --> 00:09:42,120 Speaker 1: the life of Facebook, back two thousand six two nine, 196 00:09:42,240 --> 00:09:45,760 Speaker 1: and in I started to notice things violations of civil rights, 197 00:09:46,080 --> 00:09:48,240 Speaker 1: the Breggs, a referendum in the United Kingdom. There was 198 00:09:48,320 --> 00:09:51,440 Speaker 1: manipulation going on there, and I reached out to my 199 00:09:51,520 --> 00:09:53,480 Speaker 1: friends to warn them that I thought there was something 200 00:09:53,480 --> 00:09:56,880 Speaker 1: wrong with the business model and algorithms at Facebook, and 201 00:09:57,240 --> 00:10:00,560 Speaker 1: I spent three months trying to persu wait them to 202 00:10:00,559 --> 00:10:03,360 Speaker 1: do with Johnson. And Johnson did after somebody poison bottles 203 00:10:03,360 --> 00:10:06,400 Speaker 1: of talent on Chicago, which is to protect the people 204 00:10:06,440 --> 00:10:08,959 Speaker 1: who used their product, to drop everything and just leap 205 00:10:09,040 --> 00:10:11,719 Speaker 1: to their defense. I spent three months pushing them. They 206 00:10:11,760 --> 00:10:14,320 Speaker 1: said they weren't interested, and it was at that point 207 00:10:14,360 --> 00:10:17,560 Speaker 1: I was faced with a moral choice. I've been involved here, 208 00:10:18,000 --> 00:10:21,360 Speaker 1: I had profited from it, and I was retired, so 209 00:10:21,400 --> 00:10:23,400 Speaker 1: I could have just sat back and watched. But what 210 00:10:23,440 --> 00:10:26,320 Speaker 1: I chose to do, I said, you know what, I 211 00:10:26,440 --> 00:10:30,000 Speaker 1: owe it to myself and to everybody to see if 212 00:10:30,040 --> 00:10:32,960 Speaker 1: I can spread the word to make people aware that 213 00:10:32,960 --> 00:10:35,360 Speaker 1: that this thing I was involved in, which I loved 214 00:10:35,400 --> 00:10:39,000 Speaker 1: so much has for a variety of reasons that are 215 00:10:39,000 --> 00:10:41,400 Speaker 1: related to the culture of business and related to culture 216 00:10:41,400 --> 00:10:44,160 Speaker 1: of Silicon Valley, you know, going into a really, really 217 00:10:44,200 --> 00:10:46,440 Speaker 1: bad place. So it's God. That's one question I want 218 00:10:46,440 --> 00:10:48,040 Speaker 1: to I want to get to before we run out 219 00:10:48,040 --> 00:10:50,600 Speaker 1: of time, is did it start as something else and 220 00:10:50,679 --> 00:10:52,640 Speaker 1: become this as they realized how much money to can 221 00:10:52,679 --> 00:10:54,440 Speaker 1: mak or was this the intent all along? Don't know. 222 00:10:54,679 --> 00:10:57,439 Speaker 1: I I believe that that at the beginning they didn't 223 00:10:57,440 --> 00:11:00,640 Speaker 1: see where it was going to go. And I think 224 00:11:00,679 --> 00:11:02,960 Speaker 1: Mark from the beginning, we wanted to connect the whole world, 225 00:11:03,840 --> 00:11:07,240 Speaker 1: But I don't think he completely internalized what that meant 226 00:11:07,480 --> 00:11:10,920 Speaker 1: and what that opportunity would create, because when he was 227 00:11:10,960 --> 00:11:16,000 Speaker 1: in college, before he did this, you couldn't have created Facebook. Basically, 228 00:11:16,000 --> 00:11:18,280 Speaker 1: they came along at the perfect time when suddenly all 229 00:11:18,320 --> 00:11:20,520 Speaker 1: the limits on technology went away and you could make 230 00:11:20,559 --> 00:11:23,600 Speaker 1: a global product. And it took them a long time 231 00:11:23,640 --> 00:11:25,319 Speaker 1: to figure this out. They did not figure it out 232 00:11:25,320 --> 00:11:27,599 Speaker 1: while I was involved there. It came actually three or 233 00:11:27,640 --> 00:11:31,040 Speaker 1: four years later than that. And you know, in Google's case, 234 00:11:31,040 --> 00:11:32,680 Speaker 1: they figured it out much earlier, but I was not 235 00:11:32,760 --> 00:11:35,520 Speaker 1: an insider there, so I didn't see it. And at 236 00:11:35,520 --> 00:11:38,000 Speaker 1: the end of the day, I think that in a 237 00:11:38,080 --> 00:11:42,280 Speaker 1: culture of business where essentially we've removed the government as 238 00:11:42,320 --> 00:11:45,400 Speaker 1: the center of rules and the enforcer of rules, you 239 00:11:45,559 --> 00:11:48,959 Speaker 1: basically have smart people who have license to grab whatever 240 00:11:49,000 --> 00:11:52,280 Speaker 1: they can grab, and the rest of us are powerless 241 00:11:52,320 --> 00:11:54,560 Speaker 1: to stop them until we go to the ballot box, 242 00:11:54,640 --> 00:11:56,679 Speaker 1: until we go to elected officials and say, hang on, 243 00:11:57,040 --> 00:12:01,000 Speaker 1: what are you doing to prevent these guys from trading 244 00:12:01,040 --> 00:12:04,200 Speaker 1: my most personal information and manipulating my wife. You know, 245 00:12:04,240 --> 00:12:06,880 Speaker 1: we tend to be of a libertarian bent around here, 246 00:12:06,880 --> 00:12:10,200 Speaker 1: but the idea of value, including myself, right, right, But 247 00:12:10,240 --> 00:12:14,319 Speaker 1: the idea of an individual having instantaneous global reach is 248 00:12:14,440 --> 00:12:17,760 Speaker 1: kind of a new thing for mankind. Well, I would 249 00:12:17,800 --> 00:12:20,960 Speaker 1: argue that this notion that I believe that when you 250 00:12:20,960 --> 00:12:22,160 Speaker 1: wake up in the morning, you have a choice. Am 251 00:12:22,240 --> 00:12:23,280 Speaker 1: I going to go to work? Am I going to 252 00:12:23,360 --> 00:12:25,640 Speaker 1: stay home? Am I gonna have breakfast? Not at breakfast? 253 00:12:25,679 --> 00:12:29,160 Speaker 1: Exercise not exercise. That's called free will. If you're a libertarian, 254 00:12:29,200 --> 00:12:31,720 Speaker 1: you believe each of us has the ability to control 255 00:12:31,760 --> 00:12:33,880 Speaker 1: our own lives. And what I'm talking about is that 256 00:12:34,000 --> 00:12:37,720 Speaker 1: these companies, in their pursuit of efficiency, want to take 257 00:12:38,080 --> 00:12:41,800 Speaker 1: our right to choose away from us because it's more 258 00:12:41,880 --> 00:12:44,040 Speaker 1: profitable to do it that way. And I sit there 259 00:12:44,040 --> 00:12:48,920 Speaker 1: and go, hang on, pal, you're not elected, right, you're 260 00:12:48,960 --> 00:12:53,000 Speaker 1: not accountable. We have to change that lack of accountability. 261 00:12:53,040 --> 00:12:56,120 Speaker 1: They have enormous power. There's no denying that huge power. 262 00:12:56,160 --> 00:12:59,360 Speaker 1: And the thing is, if you're a libertarian, right, if 263 00:12:59,400 --> 00:13:01,679 Speaker 1: you believe each one of us should be responsible for 264 00:13:01,720 --> 00:13:03,760 Speaker 1: our own situation, each one us get to make our 265 00:13:03,760 --> 00:13:06,800 Speaker 1: own choices, then you have to stand up and say 266 00:13:07,160 --> 00:13:10,559 Speaker 1: stop this. Because the deal is they can still provide 267 00:13:10,559 --> 00:13:13,520 Speaker 1: these services just with targeted advertising. They don't need to 268 00:13:13,520 --> 00:13:15,960 Speaker 1: do the manipulation. They do not need to do the 269 00:13:16,040 --> 00:13:19,920 Speaker 1: kind of stuff that's coming. And I'm sitting there going, guys, 270 00:13:20,559 --> 00:13:23,000 Speaker 1: I understand you didn't do this because you're bad people. 271 00:13:23,440 --> 00:13:25,840 Speaker 1: You did this because nobody told you it wasn't okay. 272 00:13:26,160 --> 00:13:28,080 Speaker 1: Well now I'm telling us, like, think of this the 273 00:13:28,160 --> 00:13:31,120 Speaker 1: chemical industry, right, they used to be able to dump 274 00:13:31,720 --> 00:13:34,680 Speaker 1: mercury and fresh water, leave mind tailings on the side 275 00:13:34,679 --> 00:13:37,920 Speaker 1: of the hill, pour used oil into the sewer, and 276 00:13:37,960 --> 00:13:40,160 Speaker 1: then we woke up and realized, wait a minute, those 277 00:13:40,160 --> 00:13:44,040 Speaker 1: externalities cast society a lot. People get sick, the environment's polluted. 278 00:13:44,360 --> 00:13:46,760 Speaker 1: We should make the people who create that toxics bill 279 00:13:46,840 --> 00:13:49,360 Speaker 1: pay for the cost. I'm saying now, we have toxic 280 00:13:49,440 --> 00:13:52,240 Speaker 1: digital spills, and we need these guys to pay that 281 00:13:52,360 --> 00:13:55,000 Speaker 1: cost and change the incentives, and we need to give 282 00:13:55,080 --> 00:13:57,600 Speaker 1: each one of us control of our lives back. Roger 283 00:13:57,640 --> 00:14:00,719 Speaker 1: mcne the book is zucked waking up to the Facebook catastrophe. 284 00:14:00,800 --> 00:14:03,480 Speaker 1: We need to talk again, Rogers, my friends, you guys 285 00:14:03,480 --> 00:14:05,280 Speaker 1: are the best. I love the show and you're just 286 00:14:05,440 --> 00:14:07,360 Speaker 1: an honor to be on with you. You're too kind. 287 00:14:07,400 --> 00:14:09,319 Speaker 1: All right, Thanks, it's good to talk, and we do it. 288 00:14:10,360 --> 00:14:13,480 Speaker 1: Let's let's make it happen. Yes, so he sounded like 289 00:14:13,520 --> 00:14:17,040 Speaker 1: he met that too. I know he's brilliant actor nor 290 00:14:17,160 --> 00:14:19,320 Speaker 1: sincere and I want to care. Frankly, I don't care. Which. 291 00:14:19,400 --> 00:14:22,040 Speaker 1: We gotta follow up on this when we come back. Yeah, 292 00:14:22,240 --> 00:14:25,600 Speaker 1: the book is fascinating. I mean it is great, and 293 00:14:25,880 --> 00:14:28,320 Speaker 1: I got no reason to tout it other than I 294 00:14:28,360 --> 00:14:30,400 Speaker 1: mean it. This could be the story of the future 295 00:14:30,400 --> 00:14:34,200 Speaker 1: of the world dealing with this parents. I insist you 296 00:14:34,360 --> 00:14:36,680 Speaker 1: read it. You're listening to the Armstrong and Getty Show. 297 00:14:45,000 --> 00:14:47,160 Speaker 1: Conscience of the nation,