1 00:00:00,520 --> 00:00:03,920 Speaker 1: Brought to you by the two thousand twelve Toyota Camry. 2 00:00:05,880 --> 00:00:08,879 Speaker 1: Get in touch with technology with tech Stuff from how 3 00:00:08,920 --> 00:00:17,119 Speaker 1: Stuff What Stop Coming? Hello again everyone, and welcome to 4 00:00:17,120 --> 00:00:18,919 Speaker 1: tech Stuff. My name is Chris Poulette and I'm an 5 00:00:19,000 --> 00:00:21,079 Speaker 1: editor here at how Stuff work dot com, say named 6 00:00:21,079 --> 00:00:23,759 Speaker 1: crush from me and as always a senior writer Jonathan Strick. 7 00:00:24,079 --> 00:00:30,240 Speaker 1: Hey there. So, yeah, there's been some interesting news about 8 00:00:30,320 --> 00:00:34,240 Speaker 1: some tech personalities lately as of the time we're recording 9 00:00:34,240 --> 00:00:38,040 Speaker 1: this towards the end of November, and um, you know, 10 00:00:38,040 --> 00:00:40,920 Speaker 1: we've talked to a lot about people who have very 11 00:00:40,960 --> 00:00:45,680 Speaker 1: strong personalities, people like Bill Gates and Steve Jobs and um, 12 00:00:45,720 --> 00:00:49,760 Speaker 1: you know, very very powerful personalities there. Uh. They may 13 00:00:49,800 --> 00:00:53,880 Speaker 1: be friendly, they may be you know, have thorny anger, 14 00:00:54,040 --> 00:00:57,600 Speaker 1: management problems or whatever. But for the most part, you know, 15 00:00:57,680 --> 00:01:02,560 Speaker 1: you can see a pretty good picture of the person involved. Um, 16 00:01:02,640 --> 00:01:09,240 Speaker 1: and then there are other people who you go, wait what, Yeah, 17 00:01:10,080 --> 00:01:11,920 Speaker 1: We've had a pretty big one of those towards the 18 00:01:12,000 --> 00:01:17,400 Speaker 1: end of there's a spectrum of of normal, right right, 19 00:01:17,440 --> 00:01:20,119 Speaker 1: there's some people who are further out on the edges 20 00:01:20,200 --> 00:01:22,600 Speaker 1: of that spectrum. I would say people like Steve Jobs 21 00:01:22,600 --> 00:01:24,319 Speaker 1: and Bill Gates are a little further out on that 22 00:01:24,360 --> 00:01:27,399 Speaker 1: spectrum than others because they are very They were both 23 00:01:27,480 --> 00:01:31,120 Speaker 1: very driven. Of course Steve Jobs unfortunately passed away, but 24 00:01:31,520 --> 00:01:35,840 Speaker 1: both very driven individuals who were passionate about their interests 25 00:01:36,080 --> 00:01:40,959 Speaker 1: and UM, and both reportedly had times when they were 26 00:01:41,000 --> 00:01:44,319 Speaker 1: not the most pleasant of people to be around. So 27 00:01:44,319 --> 00:01:46,240 Speaker 1: so yeah, you've got that whole spectrum thing. Well that 28 00:01:46,920 --> 00:01:48,920 Speaker 1: we wanted to talk today about some people who kind 29 00:01:48,920 --> 00:01:52,559 Speaker 1: of fall outside that spectrum to the point where you'd say, 30 00:01:52,640 --> 00:01:57,760 Speaker 1: all right, either this person has something seriously wrong going 31 00:01:57,840 --> 00:02:00,880 Speaker 1: on with them, or perhaps the things that are being 32 00:02:00,880 --> 00:02:03,120 Speaker 1: reported about this person are putting them in a really 33 00:02:03,160 --> 00:02:06,640 Speaker 1: bad light. But in any way, they are clearly they're 34 00:02:06,680 --> 00:02:08,760 Speaker 1: they're in a situation that is not normal, and they 35 00:02:08,800 --> 00:02:13,680 Speaker 1: themselves may not be what we would call normal. UM. 36 00:02:13,720 --> 00:02:15,160 Speaker 1: And the first one we wanted to talk about was 37 00:02:15,160 --> 00:02:17,639 Speaker 1: the one who was in the news recently is John McAfee. 38 00:02:18,240 --> 00:02:21,960 Speaker 1: And McAfee is a guy who's he's been known as 39 00:02:22,000 --> 00:02:27,400 Speaker 1: being an eccentric for uh for more than a decade UM. 40 00:02:27,400 --> 00:02:30,440 Speaker 1: But McAfee he was born in England and raised in Virginia. 41 00:02:30,720 --> 00:02:35,040 Speaker 1: He went to Roanoke College and got a degree in mathematics. 42 00:02:35,240 --> 00:02:38,760 Speaker 1: From that college, UH, he spent time as a programmer 43 00:02:38,800 --> 00:02:42,160 Speaker 1: for NASA's Institute for Space Studies. He worked for a 44 00:02:42,160 --> 00:02:44,960 Speaker 1: couple of big companies. He worked for Univac, he worked 45 00:02:44,960 --> 00:02:48,160 Speaker 1: for Xerox. UH nineteen seventy eight, he joined the Computer 46 00:02:48,240 --> 00:02:53,720 Speaker 1: Sciences Corporation, and then he started working for Lockheed. And 47 00:02:53,720 --> 00:02:56,640 Speaker 1: while he was working for Lockheed, that's when he started 48 00:02:56,800 --> 00:03:01,360 Speaker 1: to develop the software that he has really become known for. 49 00:03:01,480 --> 00:03:04,840 Speaker 1: In fact, it shares his name, the McAfee anti virus software. 50 00:03:06,040 --> 00:03:09,560 Speaker 1: While at LOCKEED he was he became very interested in 51 00:03:09,560 --> 00:03:13,560 Speaker 1: this idea of detecting and removing computer viruses because they 52 00:03:13,600 --> 00:03:17,440 Speaker 1: were just really starting to blossom at that time. We're 53 00:03:17,480 --> 00:03:23,119 Speaker 1: talking about UM the late eighties, and you know, this 54 00:03:23,200 --> 00:03:27,600 Speaker 1: is before we really get into the eras of web. 55 00:03:27,960 --> 00:03:30,760 Speaker 1: The Web doesn't really exist yet, actually doesn't exist yet 56 00:03:30,960 --> 00:03:35,960 Speaker 1: in the in the eighties UM, and very few companies 57 00:03:36,040 --> 00:03:40,600 Speaker 1: have access to some of the other Internet UM functionalities 58 00:03:40,640 --> 00:03:44,160 Speaker 1: like file transfer protocols or email, although they do exist 59 00:03:44,160 --> 00:03:48,000 Speaker 1: at this time. But he was he could see that 60 00:03:48,120 --> 00:03:51,840 Speaker 1: there was this rise in computer viruses and that because 61 00:03:51,920 --> 00:03:56,280 Speaker 1: computers followed directions, there are ways of creating directions that 62 00:03:56,320 --> 00:03:59,280 Speaker 1: make your computer do things that you don't necessarily want 63 00:03:59,320 --> 00:04:02,600 Speaker 1: it to do, whether that's completely filling up a hard 64 00:04:02,680 --> 00:04:07,320 Speaker 1: drive with meaningless information and breaking it, or installing some 65 00:04:07,440 --> 00:04:14,480 Speaker 1: sort of of of uh trojan program that protects a 66 00:04:14,640 --> 00:04:18,880 Speaker 1: nasty piece of malware from being detected. He was very 67 00:04:18,960 --> 00:04:23,760 Speaker 1: much dedicated to creating software that would that would find 68 00:04:23,800 --> 00:04:28,000 Speaker 1: that and remove it. Now, UM, it's interesting to note 69 00:04:28,720 --> 00:04:32,720 Speaker 1: a little bit about his his background and UM I 70 00:04:33,000 --> 00:04:37,680 Speaker 1: read not too long ago a piece from released by 71 00:04:37,720 --> 00:04:42,080 Speaker 1: Wired called John McAfee's Last Stand by Joshua Davis. They 72 00:04:42,120 --> 00:04:46,479 Speaker 1: also have a an e book available on Amazon that 73 00:04:46,520 --> 00:04:48,240 Speaker 1: you can purchase. I think it's nine cents and I 74 00:04:48,279 --> 00:04:51,279 Speaker 1: think it's a I want to say it's thirteen chapter 75 00:04:51,520 --> 00:04:55,280 Speaker 1: something like that. Yeah, yeah, it's it's not a long 76 00:04:55,400 --> 00:04:58,719 Speaker 1: long book, but it's you know, more than an article. Yeah, 77 00:04:58,760 --> 00:05:04,880 Speaker 1: because apparently this from Wired was there for like six months. Yea. Um, 78 00:05:04,920 --> 00:05:07,960 Speaker 1: but yeah, he he had been um, you know, as 79 00:05:07,960 --> 00:05:10,760 Speaker 1: he was working for uh, you know, companies like omex 80 00:05:11,440 --> 00:05:14,200 Speaker 1: Um in the early nineteen eighties. I mean he was 81 00:05:14,480 --> 00:05:19,800 Speaker 1: a pretty heavy drug user. Apparently I used cocaine, coeludes. Um, 82 00:05:19,839 --> 00:05:22,400 Speaker 1: you know, he he had been a pretty heavy drinker 83 00:05:22,480 --> 00:05:24,880 Speaker 1: before that, even in his college days. It looks like 84 00:05:25,560 --> 00:05:29,080 Speaker 1: um and apparently got to a point where he decided, 85 00:05:29,200 --> 00:05:31,320 Speaker 1: you know, that was it, he wasn't going to do 86 00:05:31,360 --> 00:05:34,200 Speaker 1: this anymore. And he really straightened up, um cleaned up. 87 00:05:34,200 --> 00:05:36,560 Speaker 1: And this was you know, this was before he really 88 00:05:36,560 --> 00:05:39,159 Speaker 1: got the idea to go in and do this himself, 89 00:05:39,200 --> 00:05:42,600 Speaker 1: to launch his own company. Um so. And you know, 90 00:05:42,640 --> 00:05:46,120 Speaker 1: it's not that I necessarily want to uh smear mud 91 00:05:46,320 --> 00:05:49,080 Speaker 1: on John McAfee so much as I think it provides 92 00:05:49,120 --> 00:05:52,520 Speaker 1: some context for for the kinds of things that happened 93 00:05:52,640 --> 00:05:56,000 Speaker 1: later on in his life. Sure, and uh he made 94 00:05:56,040 --> 00:05:59,240 Speaker 1: some interesting decisions with that software that he created. One 95 00:05:59,279 --> 00:06:03,680 Speaker 1: of those was that he decided upon the shareware distribution model, 96 00:06:04,200 --> 00:06:07,200 Speaker 1: which ended up being a very effective way for him 97 00:06:07,240 --> 00:06:11,040 Speaker 1: to get that software out there on the market. Um So. 98 00:06:11,440 --> 00:06:15,280 Speaker 1: In eighties seven he formed McAfee Associates, which was essentially 99 00:06:15,320 --> 00:06:20,480 Speaker 1: in charge of creating this MacAfee antivirus software. But it 100 00:06:20,560 --> 00:06:22,720 Speaker 1: wasn't that much longer. I mean, it was just in 101 00:06:22,839 --> 00:06:26,359 Speaker 1: ninety four when he resigned from the company, and a 102 00:06:26,400 --> 00:06:29,880 Speaker 1: couple of years later he sold his his stake uh 103 00:06:29,920 --> 00:06:35,280 Speaker 1: in the company entirely and just completely got away from it. Um. 104 00:06:35,320 --> 00:06:37,720 Speaker 1: At one point I hear that he was valued at 105 00:06:37,720 --> 00:06:42,440 Speaker 1: around a hundred million dollars. He himself stated that due 106 00:06:42,480 --> 00:06:47,600 Speaker 1: to the economic depression and downturn and and all these 107 00:06:47,640 --> 00:06:50,800 Speaker 1: other issues, that he was reduced too closer to four 108 00:06:50,880 --> 00:06:56,080 Speaker 1: million dollars uh after that was all over, although more 109 00:06:56,200 --> 00:06:59,080 Speaker 1: recently in two thousand twelve, he said that that was 110 00:06:59,160 --> 00:07:03,320 Speaker 1: probably not entirely accurate. He may he may in fact 111 00:07:03,360 --> 00:07:07,239 Speaker 1: have had a bit more than four million dollars UM. 112 00:07:07,279 --> 00:07:10,160 Speaker 1: And this is where we start getting into some pretty 113 00:07:10,240 --> 00:07:14,360 Speaker 1: strange stuff. Um. He one thing was that he was 114 00:07:14,640 --> 00:07:19,720 Speaker 1: really interested in this this concept of quorum sensing, now 115 00:07:19,960 --> 00:07:24,400 Speaker 1: uh quick. Quarum sensing, especially when it refers to bacteria, 116 00:07:24,600 --> 00:07:29,560 Speaker 1: is a way of the bacteria have of reacting in 117 00:07:29,560 --> 00:07:32,800 Speaker 1: a certain manner, and that manner is completely dependent upon 118 00:07:33,080 --> 00:07:36,400 Speaker 1: how much bacteria is present at that time. So in 119 00:07:36,400 --> 00:07:39,800 Speaker 1: other words, if you were to provide a stimulus to 120 00:07:39,800 --> 00:07:43,080 Speaker 1: these bacteria, they would provide a response that would be 121 00:07:43,120 --> 00:07:48,600 Speaker 1: based mostly upon how many other uh instances of that 122 00:07:48,640 --> 00:07:52,360 Speaker 1: bacteria are present. So if there is x number or greater, 123 00:07:52,560 --> 00:07:55,360 Speaker 1: it will respond one way, but if it's fewer than that, 124 00:07:55,440 --> 00:08:00,360 Speaker 1: it will respond a different way, and uh my Coufee 125 00:08:00,360 --> 00:08:01,840 Speaker 1: said that he was doing this in order to try 126 00:08:01,880 --> 00:08:07,720 Speaker 1: and develop new anti beyodics, antibacterial treatments, things that could 127 00:08:07,760 --> 00:08:12,480 Speaker 1: help humans, uh in a medicinal way. And he relocated 128 00:08:12,520 --> 00:08:16,840 Speaker 1: to two Belize, just in Central America. Uh the only 129 00:08:16,880 --> 00:08:19,480 Speaker 1: country in Central America, by the way, for which English 130 00:08:19,600 --> 00:08:22,760 Speaker 1: is the official language, although from what I understand it 131 00:08:22,880 --> 00:08:26,920 Speaker 1: is not the most prevalent language spoken there. It is however, 132 00:08:26,960 --> 00:08:31,360 Speaker 1: the official one. Anyway, he moved to Belize, um created 133 00:08:31,400 --> 00:08:36,280 Speaker 1: this lab in his home, you know, apparently a pretty 134 00:08:36,360 --> 00:08:40,400 Speaker 1: large compound there, but he has a lab at that compound. 135 00:08:40,559 --> 00:08:45,040 Speaker 1: That was from what he was saying, all about studying 136 00:08:45,240 --> 00:08:49,920 Speaker 1: this stuff to try and create better medicines, mostly medicines 137 00:08:50,000 --> 00:08:51,439 Speaker 1: that he was looking at. He was looking at a 138 00:08:51,559 --> 00:08:58,280 Speaker 1: lot of natural elements, things that were um found out 139 00:08:58,320 --> 00:09:02,080 Speaker 1: in rainforests, things like that as the key to these 140 00:09:02,080 --> 00:09:05,680 Speaker 1: sort of medicines. That's what he was claiming. Yeah, it 141 00:09:05,679 --> 00:09:09,800 Speaker 1: would seem that his his entrepreneurial spirit hasn't completely left 142 00:09:10,280 --> 00:09:13,480 Speaker 1: because he's done this. He's also even apparently tried to 143 00:09:13,520 --> 00:09:17,520 Speaker 1: come up with a a sport. Yes, when he was 144 00:09:17,559 --> 00:09:19,800 Speaker 1: living out in the Southwest and this is before he 145 00:09:19,840 --> 00:09:24,360 Speaker 1: moved to Belieze. Um. Apparently, Um, I was listening to 146 00:09:24,400 --> 00:09:28,560 Speaker 1: a radio report from someone who had been uh you know, 147 00:09:28,600 --> 00:09:31,360 Speaker 1: who had met McAfee more than once, and he said, yeah, 148 00:09:31,400 --> 00:09:32,959 Speaker 1: I want you to come out here and check out 149 00:09:32,960 --> 00:09:35,920 Speaker 1: this new sport, apparently, narrow trekking. You're supposed to fly, 150 00:09:36,080 --> 00:09:40,439 Speaker 1: I don't know, very very close to the ground. Um. 151 00:09:41,160 --> 00:09:44,240 Speaker 1: You fly very low to the ground using uh, some 152 00:09:44,360 --> 00:09:46,880 Speaker 1: form of aircraft. It might even be a hang glider 153 00:09:47,000 --> 00:09:49,440 Speaker 1: with a motor attached to it. But the idea is 154 00:09:49,480 --> 00:09:52,040 Speaker 1: that you are flying close to the ground so that 155 00:09:52,120 --> 00:09:54,880 Speaker 1: you get that real sense of speed and danger from 156 00:09:54,880 --> 00:09:59,080 Speaker 1: being you know, just a very short distance away from 157 00:09:59,120 --> 00:10:05,080 Speaker 1: crashing to a potential terrible injury or death. And in fact, 158 00:10:05,600 --> 00:10:09,280 Speaker 1: McAfee was involved in a wrongful death lawsuit that was 159 00:10:09,400 --> 00:10:15,959 Speaker 1: the result of a person dying from an arrow trekking accident. Um, 160 00:10:16,080 --> 00:10:18,480 Speaker 1: So I mean this was you know, he's known as 161 00:10:18,520 --> 00:10:21,720 Speaker 1: a daredevil as well as many other things, which will 162 00:10:21,960 --> 00:10:23,880 Speaker 1: I guess we can kind of segue into. Now this 163 00:10:23,920 --> 00:10:26,800 Speaker 1: is gonna get really weird, folks, because here here's the 164 00:10:26,800 --> 00:10:28,920 Speaker 1: thing is that there are a lot of different reports. 165 00:10:28,960 --> 00:10:33,119 Speaker 1: There's what McAfee has said through or we presume it's McAfee, 166 00:10:33,480 --> 00:10:37,120 Speaker 1: through various blogs and Twitter account Twitter messages, things like that, 167 00:10:37,520 --> 00:10:39,680 Speaker 1: there are things that he has said, there are things 168 00:10:39,720 --> 00:10:43,080 Speaker 1: that people who know him have have said. There's things 169 00:10:43,080 --> 00:10:47,679 Speaker 1: that journalists who have investigated this have said, and honestly 170 00:10:48,080 --> 00:10:52,120 Speaker 1: we don't have the whole story. But no matter who's 171 00:10:52,120 --> 00:10:55,760 Speaker 1: telling the story, it's weird. UM has known that the 172 00:10:56,080 --> 00:11:00,760 Speaker 1: Polize police have visited him on more than on occasion. Yes, 173 00:11:00,760 --> 00:11:06,000 Speaker 1: they're their gangs unit actually rated his house in April 174 00:11:06,000 --> 00:11:10,359 Speaker 1: two twelve, the Gang Suppression Unit in Orange Walk Down Belize. 175 00:11:10,720 --> 00:11:14,480 Speaker 1: They rated his home under suspicion that his laboratory was 176 00:11:14,520 --> 00:11:18,040 Speaker 1: actually producing crystal meth. That that was in fact what 177 00:11:18,120 --> 00:11:22,560 Speaker 1: he was interested in making and not UM medicine. And 178 00:11:22,600 --> 00:11:25,760 Speaker 1: in fact there are there are journalists, they're bloggers who 179 00:11:25,800 --> 00:11:30,800 Speaker 1: have said that UM that that McAfee was very active 180 00:11:31,280 --> 00:11:36,439 Speaker 1: in online discussion forums that were dedicated to drug manufacturer 181 00:11:36,480 --> 00:11:41,079 Speaker 1: like as an illicit drugs or or recreational drugs. UM. 182 00:11:41,120 --> 00:11:44,160 Speaker 1: Although there is a woman who UM he talked into 183 00:11:44,200 --> 00:11:47,760 Speaker 1: a job offer to come down and work on UH 184 00:11:48,080 --> 00:11:51,720 Speaker 1: medicinal drugs as well. So that again this is their 185 00:11:51,800 --> 00:11:54,640 Speaker 1: conflicting report, right, So, so they could be that these 186 00:11:54,640 --> 00:11:56,840 Speaker 1: reports that he was the one who was on these 187 00:11:57,000 --> 00:12:00,760 Speaker 1: recreational drug sites, maybe that wasn't him because there they 188 00:12:00,760 --> 00:12:04,520 Speaker 1: were using uh uh pseudonyms, I mean handles, they weren't 189 00:12:04,600 --> 00:12:09,160 Speaker 1: It wasn't just him there. But Gismoto published a report 190 00:12:09,240 --> 00:12:12,240 Speaker 1: that very much seemed to indicate that he was one 191 00:12:12,240 --> 00:12:15,960 Speaker 1: of the people on this recreational drug forum talking about 192 00:12:16,440 --> 00:12:20,080 Speaker 1: trying to perfect a typical kind of drug that would, 193 00:12:20,200 --> 00:12:27,040 Speaker 1: um well, supposed to enhance his his sexual experiences as 194 00:12:27,080 --> 00:12:31,880 Speaker 1: well as give a sense of euphoria and supposedly would 195 00:12:31,920 --> 00:12:39,160 Speaker 1: create a very gradual and mellow come down afterward. So uh, 196 00:12:39,240 --> 00:12:42,559 Speaker 1: and he the guy who was posting under this name, 197 00:12:42,600 --> 00:12:46,720 Speaker 1: posted a lot about this particular kind of drug. Um 198 00:12:46,760 --> 00:12:49,520 Speaker 1: Whether or not that was John McAfee, however, is still 199 00:12:49,559 --> 00:12:52,920 Speaker 1: a question. Now. One of the things that people have 200 00:12:52,960 --> 00:12:55,160 Speaker 1: said is that the drugs that he was talking about 201 00:12:55,280 --> 00:12:58,679 Speaker 1: often can create a sense of paranoia in someone who's 202 00:12:58,800 --> 00:13:02,920 Speaker 1: using those drugs. Now, again, whether or not McFee was 203 00:13:03,000 --> 00:13:06,360 Speaker 1: using those drugs is a is a question that's left open. However, 204 00:13:06,640 --> 00:13:09,120 Speaker 1: I think it's safe to say that paranoia is something 205 00:13:09,160 --> 00:13:13,800 Speaker 1: he has felt yes, he has. He has demonstrated, UH, 206 00:13:13,920 --> 00:13:18,520 Speaker 1: paranoid tendencies. Now again there's always that joke just because 207 00:13:18,520 --> 00:13:20,480 Speaker 1: your paranoia doesn't mean they're not out to get you. 208 00:13:20,720 --> 00:13:23,560 Speaker 1: But we can't really say that, but we can definitely 209 00:13:23,600 --> 00:13:27,120 Speaker 1: say that he has shown some some paranoid tendencies. One 210 00:13:27,120 --> 00:13:29,880 Speaker 1: of those is trying to evade the police. Now, as 211 00:13:29,880 --> 00:13:31,439 Speaker 1: of the recording of this podcast, which is at the 212 00:13:31,520 --> 00:13:34,199 Speaker 1: end of November twelve, he's still on the run from 213 00:13:34,240 --> 00:13:37,679 Speaker 1: police and Belize, And the reason why the police are 214 00:13:37,720 --> 00:13:41,600 Speaker 1: interested in him is that someone who lived near him, 215 00:13:42,400 --> 00:13:49,160 Speaker 1: Gregory Veant Fall, was found shot dead a few several 216 00:13:49,160 --> 00:13:57,000 Speaker 1: meters away from UH from McAfee's property and UM. Fall 217 00:13:57,040 --> 00:14:03,320 Speaker 1: and McAfee had a history of um H arguments, some 218 00:14:03,320 --> 00:14:07,160 Speaker 1: some UH some disagreements, one of which was that Fall 219 00:14:07,240 --> 00:14:11,640 Speaker 1: said that McAfee mcfee's dogs, when I think McFee owned 220 00:14:11,679 --> 00:14:14,959 Speaker 1: like eleven dogs, but that his dogs were barking all 221 00:14:14,960 --> 00:14:17,960 Speaker 1: the time and that was driving Fall crazy. And UH. 222 00:14:18,400 --> 00:14:20,400 Speaker 1: One of the other issues that happened recently was that 223 00:14:20,520 --> 00:14:24,080 Speaker 1: several of McAfee's dogs, I think four of them died 224 00:14:24,400 --> 00:14:29,560 Speaker 1: of poisoning. So the implication here and again this is 225 00:14:29,640 --> 00:14:31,880 Speaker 1: all unfolding, so we don't have the full information, but 226 00:14:31,920 --> 00:14:35,240 Speaker 1: the implication is that perhaps Fall or someone that Fall knows, 227 00:14:35,680 --> 00:14:38,920 Speaker 1: poisoned the dogs, and that perhaps there was an act 228 00:14:38,920 --> 00:14:43,520 Speaker 1: of retribution against Fall. So when the news first broke, 229 00:14:43,600 --> 00:14:45,640 Speaker 1: it sounded like McAfee was not just a person of 230 00:14:45,680 --> 00:14:49,600 Speaker 1: interest but a suspect. Since then the police police have said, no, 231 00:14:49,720 --> 00:14:51,720 Speaker 1: he's not a suspect. We just want to talk to 232 00:14:51,800 --> 00:14:54,480 Speaker 1: him because we want to find out who killed Fall. 233 00:14:55,240 --> 00:15:00,800 Speaker 1: It's possible that perhaps someone around McAfee killed Fall or McAfee, 234 00:15:00,880 --> 00:15:04,960 Speaker 1: not necessarily on McAfee's command, because, as it turns out, 235 00:15:05,000 --> 00:15:08,400 Speaker 1: McAfee has seemingly started to hang out with some pretty 236 00:15:08,480 --> 00:15:12,800 Speaker 1: rough customers in Belize. Yep, the photography that that accompanies 237 00:15:12,840 --> 00:15:18,960 Speaker 1: the Wired book includes some people with some very large guns. Yeah, 238 00:15:19,160 --> 00:15:23,080 Speaker 1: the stories are essentially I'm sorry, I mean, there's a 239 00:15:23,520 --> 00:15:26,960 Speaker 1: guns are pretty heavily restricted in Beliefe. So the story 240 00:15:27,080 --> 00:15:31,720 Speaker 1: essentially is that it sounds like McAfee has um formed 241 00:15:31,920 --> 00:15:36,400 Speaker 1: relationships with several of the the drug gangs in Belize. 242 00:15:36,680 --> 00:15:39,880 Speaker 1: Now it may be that he was doing this in 243 00:15:39,920 --> 00:15:44,160 Speaker 1: an attempt to get hold of materials for his legitimate 244 00:15:44,760 --> 00:15:49,560 Speaker 1: medical you know, research that could be the case, it 245 00:15:49,560 --> 00:15:52,480 Speaker 1: would not be necessarily the wisest move a person has 246 00:15:52,480 --> 00:15:56,000 Speaker 1: ever made to get involved with drug boards, but that's 247 00:15:56,000 --> 00:15:58,360 Speaker 1: a possibility. Now a lot of other people are saying, no, 248 00:15:58,480 --> 00:16:01,320 Speaker 1: what's happening is McAfee got involved in so he could 249 00:16:01,320 --> 00:16:03,880 Speaker 1: get the ingredients need to make the recreational drugs that 250 00:16:03,920 --> 00:16:10,480 Speaker 1: he was interested in, which again we don't know um so. Anyway, 251 00:16:10,480 --> 00:16:13,480 Speaker 1: it's possible that maybe one of these you know, gang 252 00:16:13,520 --> 00:16:16,400 Speaker 1: members that he hangs out with committed the murder and 253 00:16:16,440 --> 00:16:19,080 Speaker 1: it wasn't McAfee at all. So we don't know if 254 00:16:19,160 --> 00:16:23,840 Speaker 1: McAfee shot Fall, or if someone McAfee knows shot him, 255 00:16:23,960 --> 00:16:27,160 Speaker 1: or if it was just some random crime that seems 256 00:16:28,000 --> 00:16:31,840 Speaker 1: that seems the most unrealistic of the various possibilities, but 257 00:16:31,960 --> 00:16:35,400 Speaker 1: we don't know, um so. McAfee has been on the 258 00:16:35,480 --> 00:16:39,520 Speaker 1: run and has been posting, or at least there have 259 00:16:39,560 --> 00:16:43,200 Speaker 1: been blog posts attributed to McAfee that have posted in 260 00:16:43,280 --> 00:16:46,280 Speaker 1: his absence that have made things sound even more strange, 261 00:16:47,200 --> 00:16:51,960 Speaker 1: for instance, that McAfee has been using elaborate disguises to 262 00:16:51,960 --> 00:16:55,880 Speaker 1: to hide in plain sight. Yes, he appeared as a 263 00:16:56,520 --> 00:17:00,760 Speaker 1: German um tourist basically using profanity and just shouting at 264 00:17:00,760 --> 00:17:05,560 Speaker 1: people randomly, or tried to uh disguise himself and hunch 265 00:17:05,640 --> 00:17:07,359 Speaker 1: over so that he didn't appear as tall as he 266 00:17:07,400 --> 00:17:12,399 Speaker 1: normally is, and uh spoken heavily accented English, trying to 267 00:17:12,440 --> 00:17:16,119 Speaker 1: sell trinkets to uh he said even or this person 268 00:17:16,160 --> 00:17:19,840 Speaker 1: said he even attempted to sell something to an Associated 269 00:17:19,840 --> 00:17:24,119 Speaker 1: Press reporter who didn't recognize him, a wooden dolphins. Yes, uh, 270 00:17:24,119 --> 00:17:27,880 Speaker 1: that the reporter suddenly had an urgent call to attend to. Yeah, 271 00:17:27,880 --> 00:17:31,080 Speaker 1: it's in the blog post McAfee, assuming it is. McAfee 272 00:17:31,160 --> 00:17:34,440 Speaker 1: claimed that he nearly sold one of these trinkets before 273 00:17:34,920 --> 00:17:40,520 Speaker 1: the AP reporter was called away. Now the police police 274 00:17:40,520 --> 00:17:42,439 Speaker 1: have been asking him to turn himself in so that 275 00:17:42,480 --> 00:17:44,720 Speaker 1: he can talk about whatever it is that happened to 276 00:17:44,760 --> 00:17:47,520 Speaker 1: fall like who who could have possibly killed him, and 277 00:17:47,560 --> 00:17:50,440 Speaker 1: to clear his name. McAfee, in turn, has said that, 278 00:17:51,240 --> 00:17:53,760 Speaker 1: or at least according to these reports and according to 279 00:17:53,760 --> 00:17:56,480 Speaker 1: people who know him who say they've talked to him, 280 00:17:56,680 --> 00:17:59,760 Speaker 1: says that he doesn't want to go into police custody 281 00:17:59,760 --> 00:18:02,200 Speaker 1: because he firmly believes that the police will kill him 282 00:18:02,320 --> 00:18:05,040 Speaker 1: once he's in their custody. Yeah he um he even 283 00:18:05,080 --> 00:18:07,640 Speaker 1: reacted to the that's the way he's on the run now. 284 00:18:07,680 --> 00:18:11,320 Speaker 1: Actually was because when the when the police showed up, 285 00:18:11,560 --> 00:18:13,240 Speaker 1: he thought they were coming to hassle him again. So 286 00:18:13,320 --> 00:18:16,560 Speaker 1: he here, that's what he says. Anyway, so he escaped 287 00:18:16,640 --> 00:18:21,680 Speaker 1: before they could catch him. He Um. So anyway, he's 288 00:18:21,720 --> 00:18:23,560 Speaker 1: saying that the police are definitely going to kill him 289 00:18:23,560 --> 00:18:26,520 Speaker 1: if they take him into custody. Uh. He's also at 290 00:18:26,560 --> 00:18:31,240 Speaker 1: one point apparently suggested that, uh that fall falls death 291 00:18:31,400 --> 00:18:34,280 Speaker 1: was really meant, was that there was a hit gone 292 00:18:34,280 --> 00:18:37,960 Speaker 1: wrong that was meant to hit McAfee and instead hit Fallum. 293 00:18:38,080 --> 00:18:39,920 Speaker 1: That was one of the other possibilities I heard of 294 00:18:40,040 --> 00:18:43,800 Speaker 1: the couple of weeks before we record this podcast. Um. 295 00:18:43,920 --> 00:18:48,080 Speaker 1: So it's these are these are definitely tendencies that we 296 00:18:48,160 --> 00:18:52,840 Speaker 1: would classify as paranohite. Um. And honestly, again we don't 297 00:18:52,840 --> 00:18:55,920 Speaker 1: know all the information. It maybe that perhaps McAfee is 298 00:18:55,960 --> 00:19:00,280 Speaker 1: a very eccentric but otherwise mostly innocent. First and now 299 00:19:00,320 --> 00:19:03,560 Speaker 1: it's true that his personal life also has some other complications. 300 00:19:04,240 --> 00:19:08,120 Speaker 1: Apparently he has several people living at that compound with him, 301 00:19:08,119 --> 00:19:13,719 Speaker 1: including several young women with whom he often has sexual relations, 302 00:19:13,880 --> 00:19:17,480 Speaker 1: and including one who is identified over and over as 303 00:19:17,520 --> 00:19:21,480 Speaker 1: a seventeen year old girlfriend. But then there are other women, uh, 304 00:19:21,520 --> 00:19:25,840 Speaker 1: and and at that compound as well, and so I 305 00:19:25,880 --> 00:19:28,680 Speaker 1: mean they're they're definitely. So it's kind of this weird, 306 00:19:28,800 --> 00:19:33,320 Speaker 1: larger than life, odd David Lynch sort of story thing. 307 00:19:33,520 --> 00:19:35,600 Speaker 1: Like if I saw this enough film, I would think 308 00:19:35,640 --> 00:19:38,359 Speaker 1: the Cohen Brothers made it. Yeah, it's just it's just 309 00:19:38,400 --> 00:19:43,280 Speaker 1: so weird when you think of somebody who has gone 310 00:19:43,320 --> 00:19:46,800 Speaker 1: down in history as coming up with a very successful 311 00:19:46,840 --> 00:19:51,120 Speaker 1: tech product. Um. You know, you you don't typically think 312 00:19:51,160 --> 00:19:53,760 Speaker 1: of that. You think of somebody like Jobs or Gates 313 00:19:53,880 --> 00:19:57,639 Speaker 1: or um, maybe Larry Ellison. Uh, you know some some 314 00:19:57,680 --> 00:19:59,560 Speaker 1: people who they've got lots of money, they live a 315 00:20:00,119 --> 00:20:04,440 Speaker 1: jet setter's lifestyle. Maybe maybe not um, but you don't 316 00:20:04,440 --> 00:20:07,480 Speaker 1: really typically think of you know, when you hear something like, well, 317 00:20:07,760 --> 00:20:10,760 Speaker 1: John McAfee is a person of interest in this murder case, 318 00:20:10,800 --> 00:20:15,959 Speaker 1: and really that's just strange. But but you know the 319 00:20:16,000 --> 00:20:18,000 Speaker 1: reason why we wanted to do this podcast was not 320 00:20:18,200 --> 00:20:20,760 Speaker 1: just to talk about about McAfee, although that was you know, 321 00:20:20,800 --> 00:20:23,400 Speaker 1: the main, the main focus, but also to talk about 322 00:20:23,400 --> 00:20:28,360 Speaker 1: some other people in technology who have displayed odd traits. Well, yeah, 323 00:20:28,359 --> 00:20:30,000 Speaker 1: that was that was the second thing that came to 324 00:20:30,040 --> 00:20:32,560 Speaker 1: my mind was you know, well he's not alone. I 325 00:20:32,560 --> 00:20:35,160 Speaker 1: mean I was thinking specifically when I talked to Jonathan 326 00:20:35,160 --> 00:20:39,919 Speaker 1: about this about a man named Hans Reiser, who also 327 00:20:39,920 --> 00:20:43,840 Speaker 1: whom I read about and wired, uh several years ago, um, 328 00:20:43,880 --> 00:20:49,480 Speaker 1: when he was at that point accused of murdering his wife. Um. 329 00:20:49,920 --> 00:20:53,520 Speaker 1: And uh, it was just strange to me because he was, 330 00:20:53,640 --> 00:20:57,320 Speaker 1: Um he's known for UM, he's not as famous as 331 00:20:57,359 --> 00:21:01,720 Speaker 1: as uh John McAfee would be, but he is known 332 00:21:01,760 --> 00:21:05,200 Speaker 1: for his riser f s. It's a file system for 333 00:21:05,200 --> 00:21:10,400 Speaker 1: for computers to store files and apparently is extremely efficient, Um, 334 00:21:10,520 --> 00:21:14,360 Speaker 1: very popular among among a certain crowd, very very popular 335 00:21:14,359 --> 00:21:19,280 Speaker 1: in various Linux distributions. Yes, yes, Um. And then you know, 336 00:21:19,359 --> 00:21:22,719 Speaker 1: and here again I'm going wait this, this person who's 337 00:21:22,760 --> 00:21:27,320 Speaker 1: you know, famous within a certain tech community is um, 338 00:21:27,440 --> 00:21:30,440 Speaker 1: you know it's it's wanted for murder. This is so strange. Yeah. 339 00:21:30,480 --> 00:21:35,359 Speaker 1: He married a woman named Nina Sharonova. Uh and they 340 00:21:35,400 --> 00:21:38,160 Speaker 1: met in Russia, I believe so that and that has 341 00:21:38,400 --> 00:21:41,720 Speaker 1: raised questions as to you know, was that an arranged 342 00:21:41,760 --> 00:21:45,479 Speaker 1: marriage kind of thing? But whether that is or not, 343 00:21:45,600 --> 00:21:50,919 Speaker 1: she turned up missing and uh, eventually I know it's 344 00:21:50,960 --> 00:21:54,119 Speaker 1: an odd, odd phrase, right. Uh, But she turned up 345 00:21:54,160 --> 00:21:59,679 Speaker 1: missing and then her body was found, and eventually Hans 346 00:21:59,760 --> 00:22:04,240 Speaker 1: rise Or was taken into custody, and uh, he was tried, 347 00:22:04,359 --> 00:22:09,240 Speaker 1: he was convicted. He ended up um getting a Originally 348 00:22:09,320 --> 00:22:12,840 Speaker 1: he was tried under first degree murder, but it was 349 00:22:12,880 --> 00:22:18,440 Speaker 1: reduced to second degree murder in a plea deal. But yeah, 350 00:22:18,440 --> 00:22:22,400 Speaker 1: that's that goes beyond being odd, I would say. Uh. 351 00:22:22,880 --> 00:22:27,000 Speaker 1: But yeah, certainly an example of someone who created something 352 00:22:27,080 --> 00:22:30,360 Speaker 1: very influential in technology who ended up having some very 353 00:22:30,400 --> 00:22:34,400 Speaker 1: severe problems. Well, he had, um, he had claimed that 354 00:22:35,000 --> 00:22:37,640 Speaker 1: she had left the country and gone back to Russia, 355 00:22:38,119 --> 00:22:41,560 Speaker 1: and um, you know I had there was nothing, nothing 356 00:22:41,560 --> 00:22:44,800 Speaker 1: there untowards of course, UM, the police had, well they 357 00:22:44,800 --> 00:22:46,840 Speaker 1: didn't have the body. They didn't know, you know, for sure, 358 00:22:46,880 --> 00:22:51,320 Speaker 1: whether she was missing or or dead. And um they 359 00:22:51,359 --> 00:22:55,960 Speaker 1: found his car with um, some bloodstains of hers in it, 360 00:22:56,680 --> 00:22:59,600 Speaker 1: um and an inch of water on the floorboard apparently. 361 00:23:00,200 --> 00:23:02,199 Speaker 1: And he was trying to explain how he you know, 362 00:23:02,640 --> 00:23:05,960 Speaker 1: tried to clean out his car with water and how 363 00:23:06,000 --> 00:23:09,000 Speaker 1: he was surprised to find out that card manufacturers don't 364 00:23:09,000 --> 00:23:10,719 Speaker 1: put a hole in the floor so that water will 365 00:23:10,800 --> 00:23:13,040 Speaker 1: drain out and all sorts of things apparently that made 366 00:23:13,040 --> 00:23:15,200 Speaker 1: the jury shake their heads. And then finally he just said, 367 00:23:15,200 --> 00:23:19,879 Speaker 1: you know, look, this is what happened. Um, but it's 368 00:23:19,880 --> 00:23:23,280 Speaker 1: just very very thing, very very weird thing. I should say, 369 00:23:23,320 --> 00:23:25,639 Speaker 1: I meant I left out a word there um to 370 00:23:25,640 --> 00:23:28,600 Speaker 1: to see something like that happen, and uh, you know 371 00:23:28,680 --> 00:23:30,920 Speaker 1: it's strange. If you want to hear about some more 372 00:23:31,240 --> 00:23:33,879 Speaker 1: here do some more eccentric ones. These are not nearly 373 00:23:33,920 --> 00:23:40,280 Speaker 1: as grim so our buddy Tesla. Oh yes, Nikola, Tesla, 374 00:23:40,480 --> 00:23:44,639 Speaker 1: Internet darling Tesla. You guys love Tesla. I just have 375 00:23:44,760 --> 00:23:47,640 Speaker 1: to say, whenever we talk about Tesla, we get lots 376 00:23:47,680 --> 00:23:52,080 Speaker 1: of emails and messages. Yes, he's right behind Chris his 377 00:23:52,119 --> 00:23:55,639 Speaker 1: picture anyway, Um Tesla. Yeah, one of those guys that 378 00:23:55,720 --> 00:24:00,520 Speaker 1: everyone on the internet seems to adore. Um. Also kind 379 00:24:00,520 --> 00:24:05,240 Speaker 1: of an odd fellow. Had a lot of compulsions that 380 00:24:05,280 --> 00:24:07,840 Speaker 1: he would um, he would bow to all the time. 381 00:24:07,880 --> 00:24:10,639 Speaker 1: One of them was an obsession with the number three. 382 00:24:11,359 --> 00:24:15,080 Speaker 1: Apparently he made it a habit that before going into 383 00:24:15,119 --> 00:24:18,000 Speaker 1: a building, he would walk around the block three times 384 00:24:18,760 --> 00:24:22,200 Speaker 1: before entering. I've read reports that he would always have 385 00:24:22,880 --> 00:24:27,000 Speaker 1: stacks of three stacks of napkins, and the napkins had 386 00:24:27,040 --> 00:24:31,760 Speaker 1: to be in a number that's divisible by three, although 387 00:24:31,760 --> 00:24:35,720 Speaker 1: the number has changed depending upon which sours I was reading. 388 00:24:35,720 --> 00:24:38,879 Speaker 1: There was one that's at nine and one that's at eighteen. Uh. 389 00:24:39,800 --> 00:24:45,000 Speaker 1: But you know, he had anything that was that had 390 00:24:45,000 --> 00:24:46,639 Speaker 1: the number three, and that that was something that was 391 00:24:46,760 --> 00:24:48,639 Speaker 1: very important to him. He wanted to stay in hotel 392 00:24:48,720 --> 00:24:51,159 Speaker 1: rooms that are only the room number need to be 393 00:24:51,160 --> 00:24:54,120 Speaker 1: divisible by three. Uh. And he lived in a hotel. 394 00:24:54,280 --> 00:24:56,960 Speaker 1: He didn't, you know, have an apartment or a house 395 00:24:57,080 --> 00:25:01,000 Speaker 1: or yeah. He Uh. He also was a germophoe and um, 396 00:25:01,040 --> 00:25:03,879 Speaker 1: he hated the thought of anything dirty. He didn't you know, 397 00:25:03,920 --> 00:25:09,280 Speaker 1: he was extremely uh obsessed with cleantliness. Not necessarily a 398 00:25:09,320 --> 00:25:11,320 Speaker 1: bad thing until it goes a little too far. He 399 00:25:11,359 --> 00:25:18,320 Speaker 1: apparently hated jewelry and round the objects. Grant if you're 400 00:25:18,320 --> 00:25:21,040 Speaker 1: if you're creating a tesla coil, round up objects might 401 00:25:21,160 --> 00:25:25,200 Speaker 1: kill you. So maybe that's why. But um, but yeah, 402 00:25:25,359 --> 00:25:27,600 Speaker 1: there was just these weird little things and and of 403 00:25:27,640 --> 00:25:30,520 Speaker 1: course his eccentricities became more and more pronounced as he 404 00:25:30,600 --> 00:25:34,639 Speaker 1: got closer to his death. He kind of had a 405 00:25:34,680 --> 00:25:37,120 Speaker 1: pretty sharp decline, and part of that was probably brought 406 00:25:37,119 --> 00:25:41,280 Speaker 1: on by the stress and anxiety he felt by you know, 407 00:25:41,760 --> 00:25:45,360 Speaker 1: feeling like legitimately so, but feeling like he had been 408 00:25:45,920 --> 00:25:49,639 Speaker 1: um cheated out of his spot in the limelight for 409 00:25:49,760 --> 00:25:56,080 Speaker 1: quite some time when other other people were getting patents 410 00:25:56,160 --> 00:25:59,120 Speaker 1: on inventions that he felt he was the rightful inventor 411 00:25:59,240 --> 00:26:00,960 Speaker 1: of and therefore he should be the one holding the 412 00:26:01,000 --> 00:26:05,359 Speaker 1: patent um. Kind of a tragic life really when you 413 00:26:05,560 --> 00:26:07,360 Speaker 1: when you look at the whole story. Although he did 414 00:26:07,400 --> 00:26:11,159 Speaker 1: some amazing things I mean alternating current and Tesla Coil's 415 00:26:11,280 --> 00:26:13,840 Speaker 1: radio I mean again radio is one of those big 416 00:26:13,880 --> 00:26:16,879 Speaker 1: ones where he originally had the patent and then the 417 00:26:16,880 --> 00:26:20,480 Speaker 1: patent office famously reverse their decision on his patent and 418 00:26:20,480 --> 00:26:23,439 Speaker 1: gave it to Marconi, and that was there was a 419 00:26:23,440 --> 00:26:26,240 Speaker 1: big slap in the face. But he's not the only 420 00:26:26,840 --> 00:26:33,680 Speaker 1: famous tech guy who had some weird personality quirks. Samuel 421 00:26:33,680 --> 00:26:37,879 Speaker 1: Morse another one, Yes, Morris, this is an unpleasant one 422 00:26:37,920 --> 00:26:41,280 Speaker 1: to talk about. He's known for his involvement with the telegraph. 423 00:26:41,359 --> 00:26:44,080 Speaker 1: Ye patent did the telegraph. He also he also built 424 00:26:44,119 --> 00:26:47,080 Speaker 1: I didn't realize this in my research, I found out 425 00:26:47,080 --> 00:26:50,440 Speaker 1: he had built a marble cutting machine like to cut 426 00:26:50,640 --> 00:26:53,919 Speaker 1: slabs of marble into three dimensional sculptures. He was not 427 00:26:53,960 --> 00:26:55,639 Speaker 1: able to get a patent on it because there was 428 00:26:55,680 --> 00:26:58,280 Speaker 1: a patent for a previous device that did essentially the 429 00:26:58,320 --> 00:27:02,040 Speaker 1: same thing, but he did in at one UM. So 430 00:27:02,960 --> 00:27:06,399 Speaker 1: he was paranoid as well, you know, he was, you know, 431 00:27:06,600 --> 00:27:11,600 Speaker 1: like McAfee, very paranoidal. But his paranoia was was painted 432 00:27:11,640 --> 00:27:16,639 Speaker 1: against very broad groups um, notably the Catholics. He was Protestant, 433 00:27:16,760 --> 00:27:21,080 Speaker 1: and he believed that Catholics were going to wipe out Protestants. UM. 434 00:27:21,200 --> 00:27:24,480 Speaker 1: He also apparently thought that the nation of Austria was 435 00:27:24,600 --> 00:27:28,119 Speaker 1: dedicated to destroying Protestants. And he even ran for the 436 00:27:28,160 --> 00:27:31,000 Speaker 1: mayor of New York City under the Nativist Party. And 437 00:27:31,080 --> 00:27:35,639 Speaker 1: the Nativist Party was an anti immigration party. They didn't 438 00:27:35,640 --> 00:27:40,679 Speaker 1: want any immigrants coming into the United States. Um and 439 00:27:40,520 --> 00:27:46,440 Speaker 1: and his his prejudices went well beyond Catholics and and Austrians. 440 00:27:46,480 --> 00:27:51,080 Speaker 1: He also uh seemed to hold several, uh pretty strong 441 00:27:51,240 --> 00:27:55,680 Speaker 1: negative opinions about people who are Jewish as well as 442 00:27:55,720 --> 00:27:59,480 Speaker 1: he defended, um the institution of slavery. Now you gotta 443 00:27:59,480 --> 00:28:03,120 Speaker 1: remember the only Morse is active in the mid nineteenth century, 444 00:28:03,200 --> 00:28:05,159 Speaker 1: so this is even before the Civil War. But he 445 00:28:05,200 --> 00:28:09,320 Speaker 1: what he defended slavery, saying essentially that it was it 446 00:28:09,400 --> 00:28:13,199 Speaker 1: was part of the divine plan. And so you know, 447 00:28:13,480 --> 00:28:17,840 Speaker 1: he created something that ended up being instrumental in our 448 00:28:18,240 --> 00:28:22,680 Speaker 1: communications network and really laid the foundation for what would 449 00:28:22,680 --> 00:28:26,200 Speaker 1: become later on our our telephone network, and then even 450 00:28:26,240 --> 00:28:29,639 Speaker 1: beyond that, the Internet itself. You're talking about this is 451 00:28:29,680 --> 00:28:33,240 Speaker 1: like the beginning of all of that. Uh. And yet 452 00:28:33,480 --> 00:28:37,760 Speaker 1: also held these these beliefs, and uh seemed to have 453 00:28:37,880 --> 00:28:42,320 Speaker 1: some pretty crazy ideas. I mean, the idea that that 454 00:28:42,360 --> 00:28:47,200 Speaker 1: there was this this organized conspiracy to wipe out a 455 00:28:47,240 --> 00:28:51,640 Speaker 1: certain segment of the population was a little odd. Uh. 456 00:28:51,680 --> 00:28:55,800 Speaker 1: And then I've got one. This one's more fun or 457 00:28:56,080 --> 00:29:00,760 Speaker 1: weird and less again grim or gloomy. But h and 458 00:29:00,800 --> 00:29:03,600 Speaker 1: again this this was something I read on a blog 459 00:29:03,640 --> 00:29:06,960 Speaker 1: post that was about people who showed odd tendencies, you know, 460 00:29:07,040 --> 00:29:12,400 Speaker 1: people in technology so um. But it was about Yoshiro Nakamatsu, 461 00:29:13,200 --> 00:29:16,200 Speaker 1: who was the guy who held the most patents ever, 462 00:29:16,520 --> 00:29:24,000 Speaker 1: like three thousand. UM. He invented compact discs, digital or DVDs. 463 00:29:24,040 --> 00:29:28,560 Speaker 1: He also did uh, digital watches, UM, lots and lots 464 00:29:28,560 --> 00:29:33,280 Speaker 1: of stuff. Apparently, his little excentristy is that he writes 465 00:29:33,400 --> 00:29:37,120 Speaker 1: down everything he eats, he he makes a record of it, 466 00:29:37,800 --> 00:29:41,360 Speaker 1: and he has a specific goal, a very particular goal, 467 00:29:42,000 --> 00:29:46,400 Speaker 1: to live to be one hundred and forty four years old. 468 00:29:46,720 --> 00:29:49,920 Speaker 1: And uh, the the thing that makes up the majority 469 00:29:49,960 --> 00:29:53,880 Speaker 1: of his diet is what the blog called yummy New 470 00:29:53,920 --> 00:29:59,920 Speaker 1: Tree Brain food, which was a combination of seaweed, cheese, yogurt, eel, eggs, beef, 471 00:30:00,120 --> 00:30:03,760 Speaker 1: and chicken liver. And also he had a very interesting 472 00:30:03,800 --> 00:30:09,320 Speaker 1: way of inspiring himself to get new ideas ideas for inventions. 473 00:30:11,040 --> 00:30:13,840 Speaker 1: He would submerge himself in a tub of water and 474 00:30:13,840 --> 00:30:17,440 Speaker 1: then hold his breath until he could not possibly hold 475 00:30:17,520 --> 00:30:21,240 Speaker 1: his breath a moment longer, to the point where he 476 00:30:21,240 --> 00:30:23,320 Speaker 1: said that he was a half second away from drowning 477 00:30:24,080 --> 00:30:26,560 Speaker 1: and says it was the depletion of oxygen that is 478 00:30:26,800 --> 00:30:32,120 Speaker 1: integral for the act of inspiration. HM. So that's interesting. 479 00:30:33,400 --> 00:30:37,400 Speaker 1: I do not recommend that. In fact, I would like 480 00:30:37,480 --> 00:30:43,200 Speaker 1: to currently say, with all sincerity, don't do that. There 481 00:30:43,200 --> 00:30:46,320 Speaker 1: are better ways of coming up with good ideas well. 482 00:30:46,360 --> 00:30:49,960 Speaker 1: The longevity argument that he makes sort of reminds me 483 00:30:50,000 --> 00:30:53,040 Speaker 1: of Ray Kurtzweil, whom we've talked about before and who 484 00:30:53,720 --> 00:30:57,320 Speaker 1: believes that we are reaching the point at which the 485 00:30:57,400 --> 00:31:02,080 Speaker 1: singularity is very likely to occur, the point where you know, 486 00:31:02,200 --> 00:31:05,080 Speaker 1: basically people will be able to, you know what technological 487 00:31:05,160 --> 00:31:11,160 Speaker 1: help become immortal essentially, and um uh. You know he 488 00:31:11,200 --> 00:31:16,320 Speaker 1: has been on a very strict diet for quite some 489 00:31:16,400 --> 00:31:20,400 Speaker 1: time and taking certain vitamins and things any occidants that 490 00:31:20,400 --> 00:31:24,240 Speaker 1: that he hopes will preserve his physical body until the 491 00:31:24,280 --> 00:31:26,280 Speaker 1: point where it can be transferred I guess to a 492 00:31:27,280 --> 00:31:31,400 Speaker 1: uh cybernetic state. But you know, that's one of those 493 00:31:31,440 --> 00:31:34,280 Speaker 1: things where you think of Cursewile and all these things 494 00:31:34,320 --> 00:31:39,440 Speaker 1: that he's done in in terms of um uh, learning 495 00:31:39,440 --> 00:31:43,720 Speaker 1: technologies and music, and you know, you hear something else. 496 00:31:43,720 --> 00:31:47,200 Speaker 1: You go, wow, that's that's kind of unusual. But you 497 00:31:47,200 --> 00:31:49,280 Speaker 1: know again, that's that's more of a that's sort of 498 00:31:49,280 --> 00:31:52,880 Speaker 1: fun and not so not so deep. Jonathan's got an 499 00:31:52,920 --> 00:31:54,800 Speaker 1: unusual look on his face. And do you find something else? 500 00:31:54,840 --> 00:31:57,880 Speaker 1: I was just looking at some other things Nat has done. 501 00:31:58,480 --> 00:32:01,240 Speaker 1: Apparently he has a million dollar toilet room made completely 502 00:32:01,240 --> 00:32:08,560 Speaker 1: out of gold that helps him think better help, And 503 00:32:08,600 --> 00:32:12,000 Speaker 1: he has a vertical moving room in his house which 504 00:32:12,040 --> 00:32:17,440 Speaker 1: you must not call an elevator. Yeah. Yeah. Also a 505 00:32:17,520 --> 00:32:19,720 Speaker 1: lot of his inventions are kind of those wacky inventions, 506 00:32:19,720 --> 00:32:22,360 Speaker 1: like the patent stuff that he's got. Not all the 507 00:32:22,360 --> 00:32:29,000 Speaker 1: patents are necessarily things that you would think of as 508 00:32:29,040 --> 00:32:35,480 Speaker 1: being actually useful, so you know, it's kind of the 509 00:32:35,640 --> 00:32:45,520 Speaker 1: Mr Pope Heel of Japan apparently pocket Fisherman anyway. So clearly, uh, 510 00:32:45,760 --> 00:32:50,160 Speaker 1: genius can sometimes come with some some little weird quirks, 511 00:32:50,920 --> 00:32:55,280 Speaker 1: sometimes quirks that can lead to pretty tragic outcomes. Hopefully 512 00:32:56,120 --> 00:33:00,920 Speaker 1: we'll see more of the fun weird quirks than the 513 00:33:01,560 --> 00:33:06,000 Speaker 1: ones that are going to create a dark news items goodness, 514 00:33:06,040 --> 00:33:09,800 Speaker 1: I certainly don't want any more of those, but and 515 00:33:09,880 --> 00:33:12,000 Speaker 1: that kind of wraps up our discussion here. There are 516 00:33:12,040 --> 00:33:15,600 Speaker 1: plenty of other examples, and I'm sure they're They're probably 517 00:33:16,280 --> 00:33:19,680 Speaker 1: giants in the technology industry out there whom I have 518 00:33:20,560 --> 00:33:25,720 Speaker 1: personality issues or personality traits that we would find endlessly fascinating, 519 00:33:25,760 --> 00:33:27,480 Speaker 1: but we don't know about them because they've kept them 520 00:33:27,560 --> 00:33:31,840 Speaker 1: under wraps. That's my goal, keep all of my personality 521 00:33:31,880 --> 00:33:34,160 Speaker 1: quirks under reps. And good luck with that. Yeah, I 522 00:33:34,200 --> 00:33:37,240 Speaker 1: guess I shouldn't posted Twitter all the time. Um, but 523 00:33:37,400 --> 00:33:40,280 Speaker 1: that wraps up this discussion. And if you guys have 524 00:33:40,320 --> 00:33:43,760 Speaker 1: any suggestions for future episodes of tech Stuff. I highly 525 00:33:43,800 --> 00:33:46,000 Speaker 1: recommend you get in touch with us. Send us an 526 00:33:46,000 --> 00:33:48,880 Speaker 1: email or address as tech stuff at Discovery dot com, 527 00:33:49,080 --> 00:33:51,280 Speaker 1: or drop us a line on Facebook or Twitter are handled. 528 00:33:51,280 --> 00:33:54,520 Speaker 1: There is tech Stuff H. S. W and Chris and 529 00:33:54,520 --> 00:33:58,120 Speaker 1: I will talk to you again really soon. For more 530 00:33:58,160 --> 00:34:01,000 Speaker 1: on this and bausands of other topics, visit hastaff Works 531 00:34:01,040 --> 00:34:07,440 Speaker 1: dot com. Brought to you by the two thousand and 532 00:34:07,440 --> 00:34:08,600 Speaker 1: twelve Toyota camera