1 00:00:00,080 --> 00:00:02,560 Speaker 1: Thanks for listening to the best of Coast to Coast podcast, 2 00:00:02,600 --> 00:00:04,160 Speaker 1: and if you want to hear more than just this 3 00:00:04,320 --> 00:00:07,200 Speaker 1: highlight from the show, become a Coast Insider and you 4 00:00:07,240 --> 00:00:10,840 Speaker 1: can listen to the complete program, plus recent episodes about 5 00:00:10,840 --> 00:00:15,560 Speaker 1: out of body experiences, the scientific search for extraterrestrial life, 6 00:00:15,720 --> 00:00:19,040 Speaker 1: and biblical prophecies which may have foretold our current state 7 00:00:19,040 --> 00:00:21,640 Speaker 1: of global turmoil. So head on over to Coast to 8 00:00:21,680 --> 00:00:23,720 Speaker 1: Coast a m dot com and sign up for Coast 9 00:00:23,760 --> 00:00:26,439 Speaker 1: Insider to catch up on what you may have missed 10 00:00:26,560 --> 00:00:29,840 Speaker 1: from Coast to Coast. Now here's a highlight from Coast 11 00:00:29,880 --> 00:00:33,559 Speaker 1: to Coast AM on iHeart Radio and welcome back to 12 00:00:33,560 --> 00:00:35,640 Speaker 1: Coast to Coast. George Dory with you, and of course 13 00:00:35,880 --> 00:00:38,159 Speaker 1: when you listen to our new segments. Whenever we need 14 00:00:38,200 --> 00:00:41,279 Speaker 1: to turn to somebody to talk with him about the 15 00:00:41,280 --> 00:00:44,320 Speaker 1: Internet and issues like that, we turned to Lauren Weinstein. 16 00:00:44,400 --> 00:00:47,199 Speaker 1: He's our expert. He has been an expert in a 17 00:00:47,200 --> 00:00:50,519 Speaker 1: wide range of privacy issues in many other topics relating 18 00:00:50,520 --> 00:00:53,160 Speaker 1: to the Internet technology, and we're going to talk about 19 00:00:53,159 --> 00:00:55,760 Speaker 1: a lot of things with him this hour. The next hour, 20 00:00:55,840 --> 00:00:59,200 Speaker 1: investigative reporter Linda Bolton how joins us We will take 21 00:00:59,240 --> 00:01:02,680 Speaker 1: calls with Lauren at the half of this hour as well. 22 00:01:02,720 --> 00:01:04,679 Speaker 1: Welcome back. It's fun to always have you a little 23 00:01:04,720 --> 00:01:07,880 Speaker 1: longer than a couple of minute news segment. Law good evening, sir, Yes, 24 00:01:07,920 --> 00:01:09,320 Speaker 1: it's always good to be able to get to a 25 00:01:09,400 --> 00:01:11,959 Speaker 1: little more depth times. First of all, reaction to the 26 00:01:11,959 --> 00:01:15,479 Speaker 1: President and his constant Twitter attacks. What do you think? 27 00:01:16,400 --> 00:01:21,080 Speaker 1: I think he obviously assumes that that's doing him some 28 00:01:21,240 --> 00:01:24,960 Speaker 1: good politically. Um, it's not clear how much good it's 29 00:01:25,000 --> 00:01:30,120 Speaker 1: doing him legally, and it certainly distracts the news cycles 30 00:01:30,160 --> 00:01:32,720 Speaker 1: in ways that may not be to his benefit in 31 00:01:32,760 --> 00:01:36,320 Speaker 1: the long run. It's it's a very strange kind of thing. Um, 32 00:01:36,360 --> 00:01:38,280 Speaker 1: I assume that there's a there's a method to this. 33 00:01:39,040 --> 00:01:41,240 Speaker 1: But he seems to be concerned. He you know, he 34 00:01:41,440 --> 00:01:45,600 Speaker 1: gets upset that the internet is focusing on the last 35 00:01:45,680 --> 00:01:49,240 Speaker 1: thing he has said instead of perhaps good economic news. 36 00:01:50,000 --> 00:01:51,800 Speaker 1: But he's the president of the United States, and you 37 00:01:51,840 --> 00:01:53,880 Speaker 1: really have to assume that people are going to be 38 00:01:53,920 --> 00:01:56,760 Speaker 1: most interested in what you've said most recently, even if 39 00:01:56,800 --> 00:02:00,400 Speaker 1: it's kind of a set of kind of a loud 40 00:02:00,920 --> 00:02:04,720 Speaker 1: Twitter tweets at one in the morning, this this attack 41 00:02:05,480 --> 00:02:09,679 Speaker 1: that he claims the media is doing on him justified 42 00:02:09,880 --> 00:02:12,639 Speaker 1: or not. I mean, they've done some studies and they 43 00:02:12,680 --> 00:02:16,160 Speaker 1: see a lot of them are um negative to the 44 00:02:16,200 --> 00:02:20,720 Speaker 1: conservatservative movement. Does he have a point here? It's it's 45 00:02:20,760 --> 00:02:25,519 Speaker 1: really a difficult situation because what has happened is there's 46 00:02:25,720 --> 00:02:29,680 Speaker 1: there's a lot of information and a lot of discussion 47 00:02:29,760 --> 00:02:33,400 Speaker 1: that goes further than conservative and it's kind of gotten 48 00:02:33,520 --> 00:02:36,320 Speaker 1: rolled into all of this. So I don't think it's 49 00:02:36,360 --> 00:02:38,200 Speaker 1: you know, I don't consider myself to be an expert 50 00:02:38,200 --> 00:02:40,280 Speaker 1: on conservatives. I would never make such a claim. But 51 00:02:40,320 --> 00:02:43,400 Speaker 1: I don't think it's good for the conservative movement to, 52 00:02:43,680 --> 00:02:48,880 Speaker 1: for example, be believed to be assumed to be in 53 00:02:48,960 --> 00:02:52,280 Speaker 1: the same league with some of these extreme far right 54 00:02:52,400 --> 00:02:56,920 Speaker 1: people who are clearly racists and anti Semites and of 55 00:02:57,000 --> 00:02:59,280 Speaker 1: the sort that have been around this country since well 56 00:02:59,600 --> 00:03:03,399 Speaker 1: before the Civil War. I don't think that's good for conservatives, 57 00:03:03,560 --> 00:03:08,600 Speaker 1: economic conservatives, even social conservatives to necessarily be seen to 58 00:03:08,720 --> 00:03:11,880 Speaker 1: be in bed with some of those extremists. Now that's 59 00:03:11,919 --> 00:03:15,239 Speaker 1: their choice to make, of course, but if they do that, 60 00:03:15,440 --> 00:03:18,200 Speaker 1: then if not, it shouldn't be a surprise that the 61 00:03:18,240 --> 00:03:21,280 Speaker 1: media portrays that, because that's what the media sees happening. 62 00:03:21,960 --> 00:03:25,080 Speaker 1: The Internet is a very powerful tool. There's concern that 63 00:03:25,200 --> 00:03:29,160 Speaker 1: the Chinese are hacking, that the Russians are hacking, that 64 00:03:29,240 --> 00:03:31,760 Speaker 1: they can get into election booths. I remember a few 65 00:03:31,800 --> 00:03:34,560 Speaker 1: years ago I was talking with Beb Harris, who brought 66 00:03:34,639 --> 00:03:38,400 Speaker 1: us the black box voting stories, about the possibility of 67 00:03:38,440 --> 00:03:42,320 Speaker 1: hacking into some of these election boxes. What's what's the 68 00:03:42,400 --> 00:03:45,240 Speaker 1: latest you hear these days? Lur It seems like a 69 00:03:45,280 --> 00:03:48,400 Speaker 1: lot of countries are are plowing full, full steam ahead 70 00:03:48,520 --> 00:03:55,480 Speaker 1: into electronic voting disasters. There. It is so um just 71 00:03:55,640 --> 00:03:59,800 Speaker 1: seductive to be able to let people vote from their 72 00:04:00,040 --> 00:04:03,240 Speaker 1: from their computers or or or from electronic systems that 73 00:04:03,320 --> 00:04:07,119 Speaker 1: can't be well audited. Uh. And the really horrible part 74 00:04:07,120 --> 00:04:09,280 Speaker 1: about this is that that they'll say, well, we don't 75 00:04:09,360 --> 00:04:12,120 Speaker 1: you know, there has never been a successful hack attack 76 00:04:12,160 --> 00:04:14,160 Speaker 1: of our of our election system. Well, what they really 77 00:04:14,160 --> 00:04:17,280 Speaker 1: should say is there's never been a successful attack that 78 00:04:17,400 --> 00:04:20,720 Speaker 1: they detected. Because the thing about an election system, if 79 00:04:20,720 --> 00:04:23,240 Speaker 1: you don't have a paper trail, for example, you don't 80 00:04:23,240 --> 00:04:25,600 Speaker 1: know you don't know, I mean, you get you get 81 00:04:25,600 --> 00:04:27,600 Speaker 1: the results and you say, okay, this person one, and 82 00:04:27,640 --> 00:04:30,159 Speaker 1: there's there could be somebody sitting in China somewhere just 83 00:04:30,240 --> 00:04:33,760 Speaker 1: chuckling madly saying, well, we pulled another one over on them. 84 00:04:33,960 --> 00:04:37,279 Speaker 1: Social media. Let's talk about what's going on here. I mean, 85 00:04:37,600 --> 00:04:44,880 Speaker 1: they're getting more and more powerful Facebook, Twitter, Snapchat, Instagram. Um. Demographically, 86 00:04:45,000 --> 00:04:48,719 Speaker 1: more younger people are using those social media than older folks, 87 00:04:48,800 --> 00:04:51,279 Speaker 1: but a lot of older folks are using Facebook and 88 00:04:51,320 --> 00:04:53,479 Speaker 1: things like that as well. There are there are older 89 00:04:53,520 --> 00:04:57,040 Speaker 1: people who depend on social media for their for their connection, 90 00:04:57,120 --> 00:04:59,760 Speaker 1: for their lifelines. Now people that live older people that 91 00:04:59,839 --> 00:05:03,000 Speaker 1: live alone. Uh, there's there's a tremendous this is this 92 00:05:03,040 --> 00:05:05,240 Speaker 1: is kind of something that that isn't really realized how 93 00:05:05,240 --> 00:05:09,560 Speaker 1: many older people are are very active and informed users 94 00:05:09,680 --> 00:05:14,400 Speaker 1: of of these systems, and unfortunately too often they're kind 95 00:05:14,400 --> 00:05:16,839 Speaker 1: of left out of these discussions. But they're very important 96 00:05:16,880 --> 00:05:18,839 Speaker 1: part of it. Laurena, I want to get your opinion 97 00:05:18,960 --> 00:05:22,520 Speaker 1: on the so called haters in social networking. These are 98 00:05:22,600 --> 00:05:26,640 Speaker 1: people who will post some of the most horrible things, 99 00:05:27,320 --> 00:05:32,280 Speaker 1: challenging people, attacking people, hiding under avatars that you don't 100 00:05:32,320 --> 00:05:36,040 Speaker 1: know who they are. Uh, what's your take on this 101 00:05:36,120 --> 00:05:40,840 Speaker 1: and why are they so mean? We actually started to 102 00:05:40,920 --> 00:05:45,240 Speaker 1: see the first inklings, the first little shadows of this 103 00:05:45,400 --> 00:05:47,720 Speaker 1: future which is now the present. Back in the very 104 00:05:47,800 --> 00:05:50,120 Speaker 1: very early days of the Arpanet, when it was a 105 00:05:50,240 --> 00:05:53,080 Speaker 1: very closed community, and we had just because it was 106 00:05:53,160 --> 00:05:57,880 Speaker 1: mostly military and educational, it was defense department, and we 107 00:05:58,000 --> 00:06:02,159 Speaker 1: had mailing lists which which were the ancestors, the ancient 108 00:06:02,200 --> 00:06:06,960 Speaker 1: ancestors of social media now um, And every so often 109 00:06:07,000 --> 00:06:10,000 Speaker 1: you would get somebody like that and that, that same 110 00:06:10,080 --> 00:06:12,640 Speaker 1: kind of thing on these mailing lists, and we would 111 00:06:12,640 --> 00:06:14,679 Speaker 1: deal with it by tossing them off the mailing lists. 112 00:06:14,720 --> 00:06:19,000 Speaker 1: Back then, we didn't really anticipate because we didn't we 113 00:06:19,040 --> 00:06:21,360 Speaker 1: didn't know that that the way we were doing this 114 00:06:21,440 --> 00:06:24,600 Speaker 1: was going to be adopted to the whole world. All 115 00:06:24,640 --> 00:06:28,640 Speaker 1: these days later. It was impossible to know, um. But 116 00:06:28,760 --> 00:06:33,960 Speaker 1: even back then, it was clear that anonymity or the 117 00:06:34,000 --> 00:06:38,320 Speaker 1: feeling of anonymity as part of it. You tend to 118 00:06:38,480 --> 00:06:40,880 Speaker 1: if you're in person with somebody, if you're actually physically 119 00:06:40,880 --> 00:06:43,279 Speaker 1: in their presence, there's a whole set of kind of 120 00:06:43,360 --> 00:06:47,280 Speaker 1: rules that most people operate under social rules. If you're 121 00:06:47,279 --> 00:06:50,320 Speaker 1: talking to them on the phone, you're one level removed. 122 00:06:50,839 --> 00:06:52,800 Speaker 1: You're still hearing their voice, and you get all the 123 00:06:52,800 --> 00:06:56,240 Speaker 1: emotional cues and sarcasm cues and all those things from 124 00:06:56,240 --> 00:06:59,880 Speaker 1: their voice. But if you're just typing, if you're just 125 00:07:00,120 --> 00:07:03,760 Speaker 1: sending text back and forth, all those human cues are gone. 126 00:07:04,440 --> 00:07:08,400 Speaker 1: You can't detect sarcasm. Um. It's hard to tell you 127 00:07:08,560 --> 00:07:10,960 Speaker 1: how loud someone is talking unless they're you know, they're 128 00:07:11,040 --> 00:07:13,200 Speaker 1: talking all in all caps. How how what kind of 129 00:07:13,320 --> 00:07:16,960 Speaker 1: emotional emphasis they're putting on it. And for some people 130 00:07:17,040 --> 00:07:21,080 Speaker 1: it provides a really a really powerful cover because they 131 00:07:21,080 --> 00:07:25,160 Speaker 1: can sit there alone in a room and they feel 132 00:07:25,200 --> 00:07:27,480 Speaker 1: like they are empowered by the fact that they can 133 00:07:27,720 --> 00:07:30,800 Speaker 1: say these things, uh, and they feel like they have 134 00:07:31,560 --> 00:07:35,840 Speaker 1: anonymity in doing um. In a way, it kind of 135 00:07:35,880 --> 00:07:39,960 Speaker 1: goes back if you remember you remember Donald Trump talking 136 00:07:39,960 --> 00:07:42,960 Speaker 1: about the the guy sitting on the sofa, right, you know, 137 00:07:43,400 --> 00:07:46,720 Speaker 1: the in the in his mother's basement, that kind of thing. Well, 138 00:07:46,720 --> 00:07:50,560 Speaker 1: that's that's the stereotype. But the reality is that there 139 00:07:50,600 --> 00:07:55,280 Speaker 1: are a lot of people who feel disenfranchised and perhaps lonely, 140 00:07:56,040 --> 00:07:58,960 Speaker 1: and they feel that they have power in this way 141 00:07:59,440 --> 00:08:01,640 Speaker 1: and they don't they don't have to worry. They think 142 00:08:02,160 --> 00:08:04,440 Speaker 1: they don't have to worry about being found out and 143 00:08:04,480 --> 00:08:07,240 Speaker 1: what the repercussions are. Of course, in reality, there is 144 00:08:07,280 --> 00:08:11,160 Speaker 1: no genuine anonymity on the Internet, and anyone who thinks 145 00:08:11,160 --> 00:08:13,680 Speaker 1: there is and does things like that is probably in 146 00:08:13,760 --> 00:08:17,280 Speaker 1: for for some problems. They could really get caught if 147 00:08:17,320 --> 00:08:21,200 Speaker 1: somebody wanted to investigate the problem, right Yeah, I mean 148 00:08:21,240 --> 00:08:24,800 Speaker 1: there's there's levels of obfuscation that people can use to 149 00:08:24,840 --> 00:08:27,280 Speaker 1: try to hide. But but one way or another. I mean, 150 00:08:27,280 --> 00:08:30,000 Speaker 1: every Internet connection you make there's an IP address and 151 00:08:30,000 --> 00:08:31,760 Speaker 1: and the I s p s record all of this. 152 00:08:32,640 --> 00:08:36,319 Speaker 1: Um So in situations where there is is sufficient reason 153 00:08:36,400 --> 00:08:38,719 Speaker 1: for the authorities to put the resource, the money, and 154 00:08:38,800 --> 00:08:42,120 Speaker 1: the other resources into it, they can usually track down 155 00:08:42,200 --> 00:08:44,800 Speaker 1: track down these things unless it involves you know, multiple 156 00:08:44,840 --> 00:08:47,439 Speaker 1: countries and somebody who was very very skilled. Even even 157 00:08:47,520 --> 00:08:50,000 Speaker 1: then sometimes it can be done. What did we do 158 00:08:50,400 --> 00:08:54,400 Speaker 1: before social networking? I remember when I was growing up, 159 00:08:54,400 --> 00:08:57,880 Speaker 1: I spent a lot of time on the phone. I 160 00:08:59,200 --> 00:09:01,600 Speaker 1: used to I remember spent hours hours chatting with friends 161 00:09:01,640 --> 00:09:03,880 Speaker 1: on the phone after school and things like that. But 162 00:09:03,960 --> 00:09:05,880 Speaker 1: I got involved when I went to u C. L A. 163 00:09:05,920 --> 00:09:08,800 Speaker 1: I got involved very early in the ARPA network when 164 00:09:08,840 --> 00:09:11,960 Speaker 1: it was just getting started. So I was starting to 165 00:09:11,960 --> 00:09:15,400 Speaker 1: send email very very very early on, and chat links 166 00:09:15,400 --> 00:09:20,720 Speaker 1: and things like that, which are all have equivalence now obviously, Um, 167 00:09:20,800 --> 00:09:26,400 Speaker 1: what we didn't have were these enormous audiences. Um, you 168 00:09:26,440 --> 00:09:29,840 Speaker 1: know we were are large. There's a story one of 169 00:09:29,840 --> 00:09:33,440 Speaker 1: the early mailing lists, uh was with a mailing list 170 00:09:33,520 --> 00:09:36,840 Speaker 1: called which it was probably was Network Hackers was probably 171 00:09:36,880 --> 00:09:38,240 Speaker 1: the one that caused the problem. It might have been 172 00:09:38,240 --> 00:09:40,520 Speaker 1: the wine Tasting list, but one way or another, some 173 00:09:40,559 --> 00:09:42,800 Speaker 1: of these early lists science fiction things like that. Once 174 00:09:42,840 --> 00:09:45,520 Speaker 1: they got up to about a hundred recipients, there were 175 00:09:45,520 --> 00:09:48,960 Speaker 1: there were concerns about over over taxing the resources that 176 00:09:48,960 --> 00:09:52,560 Speaker 1: were available at some of these sites. Um, a hundred 177 00:09:52,559 --> 00:09:55,960 Speaker 1: people right, well, now you could have a million followers 178 00:09:55,960 --> 00:10:00,360 Speaker 1: and you're not even considered to be particularly particularly well 179 00:10:00,480 --> 00:10:05,440 Speaker 1: established celebrity. Um. We did not anticipate this kind of 180 00:10:05,480 --> 00:10:09,360 Speaker 1: power going going global and being in everyone's hands, and 181 00:10:09,360 --> 00:10:12,080 Speaker 1: and and that has been part of the cause of 182 00:10:12,120 --> 00:10:15,520 Speaker 1: some of the problems that we have find. Sight is 183 00:10:15,760 --> 00:10:19,199 Speaker 1: always perfect. We we did the best we could, but 184 00:10:19,400 --> 00:10:21,760 Speaker 1: obviously there are things we'd have done differently if we'd 185 00:10:21,800 --> 00:10:24,160 Speaker 1: known where we'd be ending up. Now. Listen to more 186 00:10:24,240 --> 00:10:27,280 Speaker 1: Coast to Coast AM every weeknight at one a m. 187 00:10:27,360 --> 00:10:30,280 Speaker 1: Eastern and go to Coast to Coast AM dot com 188 00:10:30,360 --> 00:10:30,800 Speaker 1: for more