1 00:00:01,440 --> 00:00:07,680 Speaker 1: Welcome to Stuff you should know, a production of iHeartRadio. 2 00:00:11,360 --> 00:00:13,920 Speaker 2: Hey, and welcome to the podcast. I'm Josh, there's Chuck, 3 00:00:14,160 --> 00:00:16,240 Speaker 2: here's Jerry, and we're going to take a nice little 4 00:00:16,239 --> 00:00:19,720 Speaker 2: stroll down Internet memory lane parent stuff. 5 00:00:19,400 --> 00:00:22,880 Speaker 1: You should Yeah, this is something I had never heard of. 6 00:00:22,960 --> 00:00:23,599 Speaker 1: Had you heard of this? 7 00:00:25,040 --> 00:00:28,360 Speaker 2: No? I ran it past. You mean she's like, oh, man, yes, 8 00:00:28,440 --> 00:00:29,960 Speaker 2: I think I've heard of it, and I don't know 9 00:00:30,000 --> 00:00:30,640 Speaker 2: if she has or no. 10 00:00:31,040 --> 00:00:32,800 Speaker 1: Well, you mean is an early adopter. 11 00:00:33,479 --> 00:00:36,360 Speaker 2: Yeah. She was definitely more Internetti than I was at 12 00:00:36,360 --> 00:00:36,840 Speaker 2: that time. 13 00:00:37,159 --> 00:00:41,400 Speaker 1: Yeah. So what we're talking about here is the first 14 00:00:41,400 --> 00:00:45,040 Speaker 1: what's regarded as the first social media website, the thing 15 00:00:45,080 --> 00:00:49,680 Speaker 1: that started the degradation of all mankind. Way back in 16 00:00:49,760 --> 00:00:52,519 Speaker 1: nineteen ninety seven. It was called six degrees dot com 17 00:00:53,560 --> 00:00:57,560 Speaker 1: spelled out SixDegrees dot com. I was founded by a 18 00:00:57,560 --> 00:01:02,200 Speaker 1: guy named Andrew Weinreich and for about three years in 19 00:01:02,240 --> 00:01:06,119 Speaker 1: the late nineties they were able to come online when 20 00:01:06,560 --> 00:01:10,119 Speaker 1: a ton of people were online, and garner ultimately about 21 00:01:10,120 --> 00:01:14,200 Speaker 1: three and a half million users, which it pales in 22 00:01:14,200 --> 00:01:17,000 Speaker 1: comparison to what we look at today, but for the 23 00:01:17,080 --> 00:01:18,160 Speaker 1: time wasn't too bad. 24 00:01:19,240 --> 00:01:21,920 Speaker 2: Yeah, not too shabby. Unfortunately, it wasn't enough to get 25 00:01:21,920 --> 00:01:25,120 Speaker 2: them over the hump and give them staying power. But 26 00:01:25,200 --> 00:01:27,520 Speaker 2: I think they were also a victim of timing, as 27 00:01:27,560 --> 00:01:30,960 Speaker 2: we'll see, Yeah for sure, but yes, the deck was 28 00:01:31,000 --> 00:01:34,200 Speaker 2: stacked against them, and the fact that they were essentially 29 00:01:34,440 --> 00:01:36,520 Speaker 2: very much ahead of their time. They were a social 30 00:01:36,560 --> 00:01:41,640 Speaker 2: media site before there were enough people online, not just 31 00:01:41,760 --> 00:01:44,160 Speaker 2: enough people to come and use your social media site. 32 00:01:44,720 --> 00:01:47,280 Speaker 2: There was only something like I mean, if they had 33 00:01:47,280 --> 00:01:49,920 Speaker 2: three and a half million users, there's probably like three 34 00:01:49,960 --> 00:01:52,560 Speaker 2: point six million users on all of the Internet at 35 00:01:52,600 --> 00:01:55,279 Speaker 2: a time. I don't know if that's a correct estimate, 36 00:01:55,320 --> 00:01:59,480 Speaker 2: but something like eighteen percent of households according to the 37 00:01:59,600 --> 00:02:03,280 Speaker 2: US in nineteen ninety seven when six degrees launched, only 38 00:02:03,360 --> 00:02:05,920 Speaker 2: eighteen percent had internet at home at the time. 39 00:02:06,360 --> 00:02:11,000 Speaker 1: Yeah, there's a it was a competing stat from Pew 40 00:02:11,040 --> 00:02:14,639 Speaker 1: Research Center that said thirty six percent did, but there 41 00:02:14,760 --> 00:02:18,160 Speaker 1: was different methodologies and stuff. So let's just say, you know, 42 00:02:18,320 --> 00:02:20,359 Speaker 1: somewhere in between those numbers, I bet it was more 43 00:02:20,520 --> 00:02:26,720 Speaker 1: more like eighteen. This was you know, ninety seven was one, two, three, four, 44 00:02:26,760 --> 00:02:30,720 Speaker 1: five years before Prinster launched Princester. That's hard to say 45 00:02:30,760 --> 00:02:34,679 Speaker 1: for some reason. And but by that time the percentage 46 00:02:34,720 --> 00:02:37,200 Speaker 1: of people in two thousand and two that had flipped. 47 00:02:37,240 --> 00:02:41,079 Speaker 1: It was more like thirty nine percent of people did 48 00:02:41,080 --> 00:02:43,880 Speaker 1: not use the internet, and sixty one percent of people did. 49 00:02:44,800 --> 00:02:47,560 Speaker 1: So it was right at that, you know, it was 50 00:02:47,560 --> 00:02:49,079 Speaker 1: just terrible timing, right there at the end of the 51 00:02:49,160 --> 00:02:53,040 Speaker 1: nineties when the dot com bubble burst, and just right 52 00:02:53,080 --> 00:02:56,000 Speaker 1: on its heels, other sites came along that did far, 53 00:02:56,040 --> 00:02:56,520 Speaker 1: far better. 54 00:02:57,440 --> 00:03:00,560 Speaker 2: Yeah, and just one thing, I like that Pew Data 55 00:03:00,720 --> 00:03:03,240 Speaker 2: because it doesn't have like that small slice of like 56 00:03:03,320 --> 00:03:06,120 Speaker 2: don't know, not sure. It's either yes, I use it 57 00:03:06,200 --> 00:03:10,200 Speaker 2: or I don't use it. It's a nice solid survey agreed. 58 00:03:10,840 --> 00:03:14,200 Speaker 2: So yeah, so there's a lot of what ifs could 59 00:03:14,240 --> 00:03:16,960 Speaker 2: have been kind of thing, and we'll get into those 60 00:03:17,000 --> 00:03:19,600 Speaker 2: a little bit more. But there were more things that 61 00:03:21,080 --> 00:03:24,280 Speaker 2: six degrees was up against. Another really really big one 62 00:03:24,919 --> 00:03:28,120 Speaker 2: was the slow speed of internet. Yeah, and you know 63 00:03:28,520 --> 00:03:31,240 Speaker 2: today you might look back and think, well, we had 64 00:03:31,320 --> 00:03:34,920 Speaker 2: no comparison back then, didn't matter. It was so slow 65 00:03:35,320 --> 00:03:39,280 Speaker 2: that it would make you angry waiting around for a 66 00:03:39,280 --> 00:03:42,720 Speaker 2: song to download or a web page to even load. 67 00:03:43,720 --> 00:03:47,240 Speaker 2: There were transfer speeds using dial up modems of fifty 68 00:03:47,280 --> 00:03:50,840 Speaker 2: six kilobytes per second that was what you had to 69 00:03:50,840 --> 00:03:55,080 Speaker 2: deal with, not a gig per second, a kilobyte times 70 00:03:55,080 --> 00:03:58,280 Speaker 2: fifty six per second. That was the transfer speed at 71 00:03:58,280 --> 00:03:59,920 Speaker 2: the time, and that was the maximum. 72 00:04:00,280 --> 00:04:02,520 Speaker 1: Yeah, I mean we've laughed about it before, but just 73 00:04:02,600 --> 00:04:08,280 Speaker 1: the days of just seeing a picture appear on the 74 00:04:08,320 --> 00:04:12,320 Speaker 1: screen like three lines at a time, down, down, down, 75 00:04:12,360 --> 00:04:13,880 Speaker 1: and you're just I just want to know what this 76 00:04:13,920 --> 00:04:16,600 Speaker 1: thing looks like. And if you wanted to know, you 77 00:04:16,680 --> 00:04:18,359 Speaker 1: had just sit there for five minutes or whatever. 78 00:04:18,720 --> 00:04:20,800 Speaker 2: Yeah, I mean you had time to go make and 79 00:04:20,839 --> 00:04:23,680 Speaker 2: eat toast, Yeah while a picture was downloading. 80 00:04:23,920 --> 00:04:25,279 Speaker 1: Yeah, I hate a lot of toast back then. 81 00:04:25,760 --> 00:04:29,400 Speaker 2: So that was that was a big challenge for it too. 82 00:04:29,720 --> 00:04:31,440 Speaker 2: And then one of the other problems too is we'll 83 00:04:31,480 --> 00:04:33,680 Speaker 2: see is that people I mean, if you have a 84 00:04:33,680 --> 00:04:36,720 Speaker 2: social media so it's kind of helpful to have pictures, 85 00:04:37,360 --> 00:04:39,440 Speaker 2: and they just weren't around at the time. 86 00:04:40,120 --> 00:04:42,920 Speaker 1: Yeah, and we'll we'll get to that all the reasons 87 00:04:42,920 --> 00:04:45,599 Speaker 1: why in a minute, but just to sort of, you know, 88 00:04:45,760 --> 00:04:49,480 Speaker 1: locate it on the timeline in nineteen ninety seven when 89 00:04:49,480 --> 00:04:52,360 Speaker 1: at launch, like Google dot com had just registered as 90 00:04:52,400 --> 00:04:55,080 Speaker 1: a domain, so it wasn't even a real thing yet. 91 00:04:56,080 --> 00:04:59,279 Speaker 1: The word weblog had just been coined or you know 92 00:04:59,320 --> 00:05:02,839 Speaker 1: what it would become is blog and Netflix was sending 93 00:05:02,920 --> 00:05:05,760 Speaker 1: DVDs through the mail. So remember that it seems like 94 00:05:05,839 --> 00:05:08,880 Speaker 1: a thousand years ago, but it wasn't that long ago 95 00:05:09,040 --> 00:05:10,239 Speaker 1: in the grand scheme of things. 96 00:05:10,560 --> 00:05:13,680 Speaker 2: No, and it's kind of sad that six degrees has 97 00:05:13,760 --> 00:05:16,200 Speaker 2: kind of gotten lost to history. Most people think Friendster 98 00:05:16,920 --> 00:05:20,320 Speaker 2: was the first social media site. No, six degrees was, 99 00:05:20,560 --> 00:05:23,719 Speaker 2: and it wasn't even one of those things where it's 100 00:05:23,839 --> 00:05:27,480 Speaker 2: technically the first social media site, even though it really 101 00:05:27,600 --> 00:05:30,200 Speaker 2: was not. It didn't resemble social media at all. No, 102 00:05:30,560 --> 00:05:32,640 Speaker 2: this was the first social media site, and it essentially 103 00:05:32,680 --> 00:05:35,440 Speaker 2: laid the groundwork for all the social media sites to come. 104 00:05:35,800 --> 00:05:38,280 Speaker 2: It just was so far ahead of its time that 105 00:05:38,360 --> 00:05:40,120 Speaker 2: it got lost to history. 106 00:05:40,480 --> 00:05:43,719 Speaker 1: Yeah. For sure, Friendster ultimately got about ten million, but 107 00:05:43,720 --> 00:05:46,159 Speaker 1: they had a lot of technical problems, so they didn't last. 108 00:05:47,240 --> 00:05:50,000 Speaker 1: MySpace was the next big one. In two thousand and three, 109 00:05:50,720 --> 00:05:53,839 Speaker 1: they were the first to reach a million monthly active users, 110 00:05:53,880 --> 00:05:57,040 Speaker 1: which was a big deal. Some people say that at 111 00:05:57,040 --> 00:05:59,120 Speaker 1: one point it was the most popular site in the 112 00:05:59,240 --> 00:05:59,920 Speaker 1: United States. 113 00:06:00,360 --> 00:06:00,919 Speaker 2: I believe that. 114 00:06:01,240 --> 00:06:03,839 Speaker 1: Yeah, yeah, even if only for a brief amount of time. 115 00:06:04,640 --> 00:06:06,800 Speaker 1: But then in two thousand and eight, Facebook came along 116 00:06:06,839 --> 00:06:10,720 Speaker 1: and sort of smashed everything, and just to put a perspective, 117 00:06:10,760 --> 00:06:14,600 Speaker 1: three and a half million users for six degrees. Facebook 118 00:06:14,600 --> 00:06:18,839 Speaker 1: has more than three billion users and Blue Sky has 119 00:06:18,920 --> 00:06:21,360 Speaker 1: thirty three million, and that's looked at as like a 120 00:06:21,440 --> 00:06:22,000 Speaker 1: tiny thing. 121 00:06:23,240 --> 00:06:25,480 Speaker 2: Yeah for sure. So yeah, it kind of puts their 122 00:06:25,480 --> 00:06:29,400 Speaker 2: three and a half million users into perspective. Yeah, so 123 00:06:29,920 --> 00:06:35,160 Speaker 2: six degrees may sound familiar to people. It's actually very 124 00:06:35,240 --> 00:06:38,440 Speaker 2: much related to the six Degrees of Kevin Bacon or 125 00:06:38,800 --> 00:06:43,920 Speaker 2: six Degrees of Separation that play by John Gwayer and 126 00:06:43,960 --> 00:06:47,880 Speaker 2: then later the movie adaptations starring Stockard Channing, of course, 127 00:06:49,240 --> 00:06:51,760 Speaker 2: but it's actually I didn't realize this based on a 128 00:06:51,880 --> 00:06:56,000 Speaker 2: study that Stanley Milgram, of the very famous Milgram experiment 129 00:06:56,080 --> 00:07:00,400 Speaker 2: where he had people shock some unseen person in another 130 00:07:00,480 --> 00:07:04,919 Speaker 2: room to find out just how obedient people were to authority, 131 00:07:05,000 --> 00:07:07,920 Speaker 2: even against their own set of morals. You know that one, right. 132 00:07:08,279 --> 00:07:09,039 Speaker 1: Yeah. 133 00:07:09,240 --> 00:07:11,560 Speaker 2: He also carried out a study where he was one 134 00:07:11,600 --> 00:07:14,480 Speaker 2: of the first to kind of determine how far apart 135 00:07:14,600 --> 00:07:17,559 Speaker 2: the average person was from the other from anybody else 136 00:07:17,680 --> 00:07:18,320 Speaker 2: in the world. 137 00:07:18,760 --> 00:07:22,239 Speaker 1: Yeah, he got together with another psych professor named Jeffrey 138 00:07:22,360 --> 00:07:25,880 Speaker 1: Travers and This is pretty cool. I think it was 139 00:07:26,000 --> 00:07:28,760 Speaker 1: pretty low fi way to do it. But this is 140 00:07:28,880 --> 00:07:31,400 Speaker 1: I mean, what year was this. Was this the nineteen. 141 00:07:31,200 --> 00:07:34,200 Speaker 2: Fifties, No, it was the late sixties. 142 00:07:33,880 --> 00:07:36,680 Speaker 1: Late sixties, okay. But what they did was they said, 143 00:07:36,720 --> 00:07:39,320 Speaker 1: all right, let's get some people in Kansas. Let's get 144 00:07:39,360 --> 00:07:42,880 Speaker 1: some people in Nebraska. They said, here's a folder and 145 00:07:42,920 --> 00:07:46,320 Speaker 1: it has a document with a target person that we 146 00:07:46,400 --> 00:07:49,480 Speaker 1: want you to get this to them. But you can't 147 00:07:49,520 --> 00:07:51,560 Speaker 1: just look them up and see if you can find 148 00:07:51,560 --> 00:07:53,480 Speaker 1: their address and mail it to them. One of the 149 00:07:53,480 --> 00:07:57,320 Speaker 1: people was in Cambridge, one was in Sharon, Massachusetts, and 150 00:07:57,360 --> 00:07:59,320 Speaker 1: they said, what you want to do, or what we 151 00:07:59,360 --> 00:08:02,800 Speaker 1: want you to do, is send it to a person 152 00:08:03,480 --> 00:08:06,400 Speaker 1: that you personally know who you think might be able 153 00:08:06,480 --> 00:08:09,160 Speaker 1: to get it to another person who could get it 154 00:08:09,200 --> 00:08:11,840 Speaker 1: to another person who could eventually get it to this 155 00:08:12,040 --> 00:08:16,640 Speaker 1: target person. And then we will measure that and see 156 00:08:16,800 --> 00:08:20,200 Speaker 1: what the average or the mean might be. So literally, 157 00:08:20,560 --> 00:08:24,160 Speaker 1: a farmer in Kansas got it, you know, this is 158 00:08:24,160 --> 00:08:25,760 Speaker 1: just one example. Got it to the wife of a 159 00:08:25,800 --> 00:08:29,520 Speaker 1: student Massachusetts, who gave it to an Episcopalian minister in 160 00:08:29,560 --> 00:08:32,320 Speaker 1: this town, who gave it to an instructor at the 161 00:08:32,320 --> 00:08:35,760 Speaker 1: theological seminary there who got it to that target? So 162 00:08:35,840 --> 00:08:40,679 Speaker 1: that would be one, two, three, four degrees of separation, 163 00:08:41,080 --> 00:08:43,800 Speaker 1: which is pretty remarkable. 164 00:08:43,240 --> 00:08:45,880 Speaker 2: I think yeah. And I also think chok that it's 165 00:08:45,960 --> 00:08:50,120 Speaker 2: kind of funny that to Stanley Milgram, Nebraska and Kansas 166 00:08:50,200 --> 00:08:52,960 Speaker 2: are the most socially remote locations in all of the 167 00:08:53,080 --> 00:08:57,560 Speaker 2: United States, because that's where he started to see how 168 00:08:57,640 --> 00:09:01,000 Speaker 2: long it took to get to I guess civilis like Boston. 169 00:09:01,640 --> 00:09:04,880 Speaker 2: But they actually did a lot of analysis of this. 170 00:09:05,000 --> 00:09:08,439 Speaker 2: They released a version of the study in Psychology Today, 171 00:09:08,480 --> 00:09:10,400 Speaker 2: which was meant for a general audience. But then they 172 00:09:10,440 --> 00:09:13,760 Speaker 2: did like the real deal in a journal called Sociometry 173 00:09:14,360 --> 00:09:16,880 Speaker 2: in nineteen sixty nine, and they found that there was 174 00:09:17,240 --> 00:09:22,600 Speaker 2: a mean length mean is the one in the middle. No, 175 00:09:22,840 --> 00:09:25,559 Speaker 2: mean is average, it's another word for average, just say average, 176 00:09:25,559 --> 00:09:30,280 Speaker 2: you know, of four point four to five point seven intermediary. 177 00:09:30,400 --> 00:09:33,800 Speaker 2: So they found that people have a degree of separation 178 00:09:33,840 --> 00:09:36,280 Speaker 2: of four point four to five point seven. And this 179 00:09:36,360 --> 00:09:38,520 Speaker 2: was all the way back in the mid to late sixties. 180 00:09:38,800 --> 00:09:40,840 Speaker 2: Think about how closer we are now. 181 00:09:41,000 --> 00:09:44,440 Speaker 1: Yeah. Well, what I wonder too is did they throw 182 00:09:44,520 --> 00:09:47,040 Speaker 1: out the ones? Because apparently most of the folders never 183 00:09:47,080 --> 00:09:49,360 Speaker 1: even made it. Did they just toss those and say, 184 00:09:49,600 --> 00:09:52,040 Speaker 1: of the ones who got there, this is how they're connected. 185 00:09:53,000 --> 00:09:56,240 Speaker 2: Yes, but I believe that most of the ones that 186 00:09:56,320 --> 00:09:59,800 Speaker 2: didn't get there were because the initial farmers in Kansas 187 00:09:59,840 --> 00:10:03,520 Speaker 2: and Nebraska just threw them out. They didn't participate. Oh really, 188 00:10:03,679 --> 00:10:05,760 Speaker 2: I think that's what happened to the majority of them. 189 00:10:05,840 --> 00:10:08,280 Speaker 2: So yeah, it wasn't like the most robust study of 190 00:10:08,280 --> 00:10:10,520 Speaker 2: all time, but it was so fascinating that it just 191 00:10:10,600 --> 00:10:14,480 Speaker 2: captured the imagination of people and became kind of a 192 00:10:14,520 --> 00:10:18,160 Speaker 2: pop cultural meme. But what's interesting about it is that 193 00:10:18,280 --> 00:10:23,359 Speaker 2: later scholarship that was pretty robust studies supported what Milgram 194 00:10:23,440 --> 00:10:27,560 Speaker 2: and his collaborator Jeffrey Travers found in that study. 195 00:10:27,920 --> 00:10:29,480 Speaker 1: Yeah, there was one in two thousand and three that 196 00:10:29,520 --> 00:10:34,440 Speaker 1: found a media of five to seven. This is pretty 197 00:10:34,480 --> 00:10:38,160 Speaker 1: old data. But in twenty eleven they did the degrees 198 00:10:38,160 --> 00:10:40,960 Speaker 1: of separation on other social media sites, and for Facebook 199 00:10:40,960 --> 00:10:43,360 Speaker 1: at the time, it was four point seventy four and 200 00:10:43,400 --> 00:10:46,440 Speaker 1: for the at the time named Twitter it was four 201 00:10:46,440 --> 00:10:51,800 Speaker 1: point sixty seven. But the caveat there is like you're 202 00:10:51,840 --> 00:10:55,520 Speaker 1: not necessarily counting just the people that you know, Like, 203 00:10:55,559 --> 00:10:58,040 Speaker 1: I know plenty of people when I was on Facebook 204 00:10:58,600 --> 00:11:03,600 Speaker 1: that had lots of like what were they in Facebook? Friends? Yeah, 205 00:11:03,679 --> 00:11:05,880 Speaker 1: friends who they had no idea who they were. It 206 00:11:05,920 --> 00:11:08,440 Speaker 1: was just more of a maybe a networking thing kind 207 00:11:08,480 --> 00:11:09,120 Speaker 1: of like LinkedIn. 208 00:11:10,000 --> 00:11:12,520 Speaker 2: Yeah, for sure. And as we'll see six degrees too. 209 00:11:13,080 --> 00:11:17,400 Speaker 2: Yeah yeah. Laura doctor Claw, who helped us out with this, 210 00:11:17,480 --> 00:11:20,680 Speaker 2: points out that social media kind of has a stretch 211 00:11:20,920 --> 00:11:23,480 Speaker 2: the definition of what we consider a connection. Like you 212 00:11:23,520 --> 00:11:26,680 Speaker 2: just said, and also you said, what used to be 213 00:11:26,720 --> 00:11:30,000 Speaker 2: called Twitter. I think it's hilarious because very frequently you'll 214 00:11:30,000 --> 00:11:33,920 Speaker 2: see Twitter used in like some sort of article or whatever, 215 00:11:34,000 --> 00:11:36,320 Speaker 2: and then in parentheses after that it'll say X. 216 00:11:36,840 --> 00:11:40,719 Speaker 1: Yeah, and I mean everyone still says Twitter. It seems like, yeah, 217 00:11:41,120 --> 00:11:42,000 Speaker 1: it just didn't take. 218 00:11:42,360 --> 00:11:46,000 Speaker 2: Like sorry, the name change for the business you bought 219 00:11:46,200 --> 00:11:46,960 Speaker 2: did not take. 220 00:11:47,600 --> 00:11:48,880 Speaker 1: Yeah, it's because X is dumb. 221 00:11:49,320 --> 00:11:51,840 Speaker 2: I guess. So Twitter was just so perfect. 222 00:11:51,880 --> 00:11:53,680 Speaker 1: I guess well, I mean, I don't know if Twitter 223 00:11:53,760 --> 00:11:57,000 Speaker 1: is a good name or not, but it had such recognition. 224 00:11:57,240 --> 00:12:01,080 Speaker 2: It's just like, Yeah, it's like the people who bought 225 00:12:01,080 --> 00:12:03,280 Speaker 2: the Sears Tower and try to change the name and 226 00:12:03,280 --> 00:12:05,600 Speaker 2: everybody's like, nope, still Sears Tower. Sorry. 227 00:12:06,080 --> 00:12:08,079 Speaker 1: Yeah. I love that when a corporate sponsor takes over 228 00:12:08,120 --> 00:12:09,360 Speaker 1: and they're like, no, we're still going to call it 229 00:12:09,400 --> 00:12:10,040 Speaker 1: the thing at once. 230 00:12:09,920 --> 00:12:14,760 Speaker 2: Before it's still the Toastedos Fiesta Bowl. Sorry, sorry, cars 231 00:12:14,800 --> 00:12:15,439 Speaker 2: dot Com. 232 00:12:16,400 --> 00:12:19,480 Speaker 1: Well, you mentioned Kevin Bacon and we should mention real quick. 233 00:12:19,520 --> 00:12:21,640 Speaker 1: The six Degrees of Kevin Bacon was a very popular 234 00:12:21,679 --> 00:12:25,040 Speaker 1: thing created by some college students, where in the ideas 235 00:12:25,120 --> 00:12:27,640 Speaker 1: that Kevin Bacon has been in so many varied movies 236 00:12:27,679 --> 00:12:30,480 Speaker 1: over the years that you can connect any actor in 237 00:12:30,520 --> 00:12:34,880 Speaker 1: Hollywood to Kevin Bacon in less than six degrees or less. 238 00:12:35,960 --> 00:12:38,840 Speaker 1: But the Bacon number apparently is three point one two, 239 00:12:38,880 --> 00:12:43,360 Speaker 1: and they're five hundred and twenty two actors who have 240 00:12:43,640 --> 00:12:47,240 Speaker 1: a smaller connectivity number or Bacon number than that. 241 00:12:47,640 --> 00:12:50,760 Speaker 2: Yeah, they're more connected to people than Kevin Bacon. I 242 00:12:50,840 --> 00:12:52,760 Speaker 2: didn't know that, Chuck, did. 243 00:12:52,600 --> 00:12:56,880 Speaker 1: You, Well there were five hundred and twenty two, or 244 00:12:56,920 --> 00:13:00,560 Speaker 1: that there were more connected actors both. I figured there 245 00:13:00,559 --> 00:13:04,520 Speaker 1: were more connected actors because there are people, well, Eric 246 00:13:04,600 --> 00:13:07,360 Speaker 1: Roberts is the number one with two point nine zero 247 00:13:07,400 --> 00:13:10,199 Speaker 1: eight four one because he has eight hundred and sixty 248 00:13:10,240 --> 00:13:14,760 Speaker 1: five IMDb entries as an actor. So I figured there 249 00:13:14,760 --> 00:13:16,840 Speaker 1: were people that were in way more movies. And that's 250 00:13:16,920 --> 00:13:18,320 Speaker 1: just Matt, You know. 251 00:13:18,840 --> 00:13:21,559 Speaker 2: Sure it is. But also you can make a case 252 00:13:21,600 --> 00:13:25,920 Speaker 2: that Kevin Bacon's one hundred and eleven movies typically are 253 00:13:26,000 --> 00:13:30,000 Speaker 2: with more stars who have more work, So there it's 254 00:13:30,240 --> 00:13:32,360 Speaker 2: likelier that the people he work with are in more 255 00:13:32,400 --> 00:13:36,280 Speaker 2: movies with more other people, whereas Eric Roberts is probably 256 00:13:36,320 --> 00:13:38,040 Speaker 2: in movies with people like this is their one and 257 00:13:38,120 --> 00:13:40,960 Speaker 2: only movie. 258 00:13:40,040 --> 00:13:42,280 Speaker 1: Or people who are in like six hundred movies that 259 00:13:42,360 --> 00:13:43,480 Speaker 1: you just have never heard of. 260 00:13:43,760 --> 00:13:47,080 Speaker 2: That's true too, That's possible if Rifftrek taught me anything. 261 00:13:47,120 --> 00:13:50,679 Speaker 2: It's that. Yeah, Like I know who Cameron Mitchell is 262 00:13:50,720 --> 00:13:53,520 Speaker 2: for Pete's sake, is that he's one of those guys 263 00:13:53,520 --> 00:13:55,120 Speaker 2: who's in a million movies that you've. 264 00:13:54,920 --> 00:13:57,239 Speaker 1: Never heard of, but you recognize his face. 265 00:13:57,440 --> 00:14:00,640 Speaker 2: Face name. Yeah, I think I actually know some of 266 00:14:00,679 --> 00:14:01,560 Speaker 2: his family members. 267 00:14:01,600 --> 00:14:04,160 Speaker 1: Now right, I'm gonna have to look this guy up. 268 00:14:04,480 --> 00:14:07,160 Speaker 2: Yeah, oh man, it will take you on an odyssey. 269 00:14:07,280 --> 00:14:10,360 Speaker 2: And don't even bother watching the original version of the movies. 270 00:14:10,440 --> 00:14:13,040 Speaker 2: Just watch the riff track version of Cameron Mitchell's movies. 271 00:14:14,000 --> 00:14:17,720 Speaker 1: Uh a rare in store or in show. Look up 272 00:14:17,760 --> 00:14:21,040 Speaker 1: Cameron Mitchell. Huh oh no, he's a restaurateur. 273 00:14:22,000 --> 00:14:26,120 Speaker 2: That's not him. Look at Cameron Mitchell's Space Mutiny. 274 00:14:26,640 --> 00:14:28,520 Speaker 1: Yeah, yeah, yeah, I know that guy. Was he in 275 00:14:28,560 --> 00:14:30,120 Speaker 1: Plan nine? 276 00:14:30,320 --> 00:14:32,120 Speaker 2: Maybe he really might have been? 277 00:14:32,520 --> 00:14:34,240 Speaker 1: Well, and now I'm seeing a picture of him as 278 00:14:34,280 --> 00:14:37,160 Speaker 1: an older gentleman, and I've seen him in movies as 279 00:14:37,160 --> 00:14:38,160 Speaker 1: an older gentleman too. 280 00:14:38,560 --> 00:14:41,360 Speaker 2: Speaking of Space Mutiny, that's a really great rift tracks 281 00:14:41,400 --> 00:14:42,000 Speaker 2: to start with. 282 00:14:42,520 --> 00:14:43,440 Speaker 1: Those guys are the best. 283 00:14:44,040 --> 00:14:46,480 Speaker 2: And wait, actually I think that's an MST three K 284 00:14:46,640 --> 00:14:49,160 Speaker 2: to start watch both versions? How about that? 285 00:14:49,360 --> 00:14:50,720 Speaker 1: All right, well that's what I meant. 286 00:14:50,720 --> 00:14:54,280 Speaker 2: But yeah, okay, so do you want to take a break, Chuck. 287 00:14:54,520 --> 00:14:56,640 Speaker 1: Yeah, let's take a break and talk more about old 288 00:14:56,640 --> 00:14:57,760 Speaker 1: Internet right after. 289 00:14:57,600 --> 00:15:27,320 Speaker 2: This, okay, Chuck. So we said we were going to 290 00:15:27,400 --> 00:15:31,320 Speaker 2: take a stroll down Internet memory lane. And this was 291 00:15:31,360 --> 00:15:35,240 Speaker 2: a time when, like I think the year before six 292 00:15:35,280 --> 00:15:39,920 Speaker 2: degrees launched, Craigslist launched, Amazon dot Com launched, and they 293 00:15:39,960 --> 00:15:43,360 Speaker 2: were just selling books at the time. Yeah. One of 294 00:15:43,400 --> 00:15:47,320 Speaker 2: the big search engines was ask Jeeves, and it was 295 00:15:47,440 --> 00:15:50,520 Speaker 2: revolutionary because you could use natural language rather than have 296 00:15:50,600 --> 00:15:53,480 Speaker 2: to figure out exactly what keyword you needed to put 297 00:15:53,520 --> 00:15:57,840 Speaker 2: in to get results with licos. Yeah, yeah, totally, which, 298 00:15:57,840 --> 00:16:00,400 Speaker 2: by the way, asked Jesus, ask dot com. Did you 299 00:16:00,440 --> 00:16:00,680 Speaker 2: know that? 300 00:16:01,680 --> 00:16:03,240 Speaker 1: I think I did know that. I knew it changed 301 00:16:03,240 --> 00:16:06,680 Speaker 1: into something. They just got rid of Jeeves, which is 302 00:16:06,800 --> 00:16:07,400 Speaker 1: super sad. 303 00:16:07,600 --> 00:16:10,200 Speaker 2: I know, it is pretty sad. They retired him. He 304 00:16:10,280 --> 00:16:12,800 Speaker 2: went off to live on a farm, as they say, yeah, 305 00:16:12,840 --> 00:16:14,120 Speaker 2: which means they killed him. 306 00:16:15,520 --> 00:16:18,600 Speaker 1: How six degrees worked, though, is interesting because not only 307 00:16:19,400 --> 00:16:23,160 Speaker 1: was it the name copped from six degrees of separation, 308 00:16:23,800 --> 00:16:27,280 Speaker 1: they actually organized the website in such a way and 309 00:16:27,320 --> 00:16:30,560 Speaker 1: it seemed like part of the fun of it. And again, 310 00:16:30,840 --> 00:16:33,240 Speaker 1: this is early Internet. If you're a youngster out there, 311 00:16:33,320 --> 00:16:35,240 Speaker 1: you may think this is super funny that people thought 312 00:16:35,280 --> 00:16:37,520 Speaker 1: this was fun, But it seems like part of the 313 00:16:37,520 --> 00:16:41,400 Speaker 1: fund SixDegrees dot com was finding people you didn't know 314 00:16:41,560 --> 00:16:44,160 Speaker 1: and then tracing that connection through the website. 315 00:16:45,240 --> 00:16:48,280 Speaker 2: Right. So one of the things that you would do 316 00:16:48,440 --> 00:16:51,280 Speaker 2: is go through the I guess the registry of other 317 00:16:51,360 --> 00:16:55,040 Speaker 2: six degree users, and there were so few initially that 318 00:16:55,120 --> 00:16:57,880 Speaker 2: you could do that. Rather than go through three and 319 00:16:57,920 --> 00:17:00,680 Speaker 2: a half million people, it was just a few hundred potentially, 320 00:17:00,800 --> 00:17:02,520 Speaker 2: and you'd be like, oh, I know them, I know them, 321 00:17:02,720 --> 00:17:04,760 Speaker 2: and you would make a connection with them. They would 322 00:17:04,800 --> 00:17:08,480 Speaker 2: confirm it, and now you were a first degree connection. 323 00:17:08,920 --> 00:17:11,560 Speaker 2: You two were because you actually know each other. 324 00:17:11,440 --> 00:17:14,119 Speaker 1: Right, yeah, and you, like you said, you had to 325 00:17:14,119 --> 00:17:17,080 Speaker 1: confirm that connection. But you could also include people who 326 00:17:17,160 --> 00:17:19,280 Speaker 1: weren't on it yet, like I'm just going to list 327 00:17:19,320 --> 00:17:21,240 Speaker 1: out my family members or whatever and put their email 328 00:17:21,240 --> 00:17:24,320 Speaker 1: addresses in. Keep in mind, this is at a time 329 00:17:24,720 --> 00:17:27,560 Speaker 1: where you didn't get a lot of email. You didn't 330 00:17:27,560 --> 00:17:30,239 Speaker 1: get much, if any spam email, and sometimes getting an 331 00:17:30,240 --> 00:17:32,560 Speaker 1: email was like, oh wow, look at this, this is cool. 332 00:17:32,680 --> 00:17:33,160 Speaker 2: It's cool. 333 00:17:33,200 --> 00:17:35,960 Speaker 1: So if you think about that now, like oh yeah, 334 00:17:36,000 --> 00:17:37,479 Speaker 1: just put all your family and friends and put their 335 00:17:37,480 --> 00:17:42,840 Speaker 1: emails in. That's like a fireable offense, like socially. 336 00:17:42,520 --> 00:17:43,280 Speaker 2: You go to jail. 337 00:17:43,680 --> 00:17:45,560 Speaker 1: I think you can. But back then it was a 338 00:17:45,560 --> 00:17:48,560 Speaker 1: different deal. So you can include people put their emails 339 00:17:49,240 --> 00:17:52,600 Speaker 1: and they would get an email asking for confirmation and 340 00:17:52,640 --> 00:17:54,639 Speaker 1: saying and also, do you want to sign up for 341 00:17:54,640 --> 00:17:57,280 Speaker 1: the school new thing? No, yeah, exactly. 342 00:17:58,000 --> 00:18:01,040 Speaker 2: So the people that knew the people you knew, but 343 00:18:01,119 --> 00:18:03,560 Speaker 2: you weren't directly connected to them, you were now second 344 00:18:03,640 --> 00:18:06,560 Speaker 2: degree connected with them. And then those people were connected 345 00:18:06,600 --> 00:18:08,359 Speaker 2: to people that you didn't know, and they were third 346 00:18:08,400 --> 00:18:12,240 Speaker 2: degree connections. I think it didn't go beyond third degree, 347 00:18:12,720 --> 00:18:14,240 Speaker 2: Like they didn't go all the way up to six. 348 00:18:14,400 --> 00:18:18,800 Speaker 2: I think that was totally unnecessary. But this was like, yeah, 349 00:18:18,800 --> 00:18:21,439 Speaker 2: this is very groundbreaking and revolutionary, and people were just 350 00:18:21,480 --> 00:18:25,520 Speaker 2: amazed by people they knew. And the point was like, 351 00:18:25,760 --> 00:18:27,680 Speaker 2: who do your friends know that you want to know 352 00:18:27,760 --> 00:18:29,840 Speaker 2: that you don't know yet. Now you can make a 353 00:18:29,880 --> 00:18:33,000 Speaker 2: first degree connection with those people if they confirm you. 354 00:18:33,760 --> 00:18:35,680 Speaker 1: Yeah, I mean that's the way. It was sort of 355 00:18:35,720 --> 00:18:38,879 Speaker 1: like a predecessor to LinkedIn. I mean, you'll see again, 356 00:18:38,960 --> 00:18:41,760 Speaker 1: like you said, like seeds of all the social media websites. 357 00:18:41,800 --> 00:18:44,600 Speaker 1: They were doing it because you could create a profile 358 00:18:45,119 --> 00:18:50,120 Speaker 1: with your professional affiliations and stuff like that. You were 359 00:18:50,200 --> 00:18:52,679 Speaker 1: encouraged and I think most people probably really did use 360 00:18:52,720 --> 00:18:55,520 Speaker 1: their real identities because at the time people were like, well, 361 00:18:55,520 --> 00:18:58,840 Speaker 1: what kind of a weirdo would just create some fake 362 00:18:58,920 --> 00:19:02,040 Speaker 1: identity on the internet just to mess with people. So 363 00:19:02,160 --> 00:19:05,720 Speaker 1: there were real people on there. That was a member 364 00:19:05,760 --> 00:19:09,840 Speaker 1: of the trust E Data Privacy Program, which has now 365 00:19:10,600 --> 00:19:14,640 Speaker 1: been bundled up under trust ARC. But email was very 366 00:19:14,640 --> 00:19:16,919 Speaker 1: central to it all. It was not an app. They 367 00:19:16,920 --> 00:19:19,680 Speaker 1: didn't have apps yet. You would get an email asking 368 00:19:19,720 --> 00:19:23,120 Speaker 1: for confirmation, you would reply via email. You would add 369 00:19:23,160 --> 00:19:26,160 Speaker 1: others via email, so it was just a different time. 370 00:19:26,920 --> 00:19:30,040 Speaker 2: Yeah, and there were I mean you would add your hobbies, 371 00:19:30,240 --> 00:19:34,359 Speaker 2: you would add who you worked for, what degrees you 372 00:19:34,480 --> 00:19:37,359 Speaker 2: had maybe so yeah, again, lots of seeds of linked 373 00:19:37,440 --> 00:19:40,440 Speaker 2: In for sure. Again no pictures, and this was a 374 00:19:40,520 --> 00:19:43,719 Speaker 2: huge stumbling block, as we'll see. But they did have 375 00:19:43,800 --> 00:19:49,359 Speaker 2: other functionality that was thrilling. It had basically in network emailing, right, 376 00:19:49,440 --> 00:19:53,520 Speaker 2: so you could directly contact your context had they confirmed you. 377 00:19:54,240 --> 00:19:58,360 Speaker 2: They are bulletin boards where you could essentially chat, and 378 00:19:58,400 --> 00:19:59,840 Speaker 2: I think they had a bunch of other kind of 379 00:20:00,240 --> 00:20:03,200 Speaker 2: and whistles that they added over the years. They had 380 00:20:03,200 --> 00:20:07,080 Speaker 2: something called channels, which were essentially special interest groups and 381 00:20:07,119 --> 00:20:10,400 Speaker 2: you could be like, oh, I'm interested in business and finance, 382 00:20:10,520 --> 00:20:14,119 Speaker 2: or I'm interested in games I think, meaning at the 383 00:20:14,160 --> 00:20:18,080 Speaker 2: time nothing but Oregon Trail, right, and you could just 384 00:20:18,160 --> 00:20:21,439 Speaker 2: go and find other people on these message boards that 385 00:20:21,480 --> 00:20:24,320 Speaker 2: were interested in these things and maybe make some context 386 00:20:24,720 --> 00:20:25,679 Speaker 2: if they confirmed you. 387 00:20:26,200 --> 00:20:29,800 Speaker 1: Yeah, again, way ahead of its time with Facebook groups, 388 00:20:29,840 --> 00:20:34,000 Speaker 1: that's exactly what they did. We got some and you 389 00:20:34,000 --> 00:20:35,400 Speaker 1: can go look these up if you want to see 390 00:20:35,440 --> 00:20:38,800 Speaker 1: like screenshots of what the screen looked like. I believe 391 00:20:38,800 --> 00:20:41,679 Speaker 1: we were sent one from October nineteen ninety nine a 392 00:20:41,720 --> 00:20:45,720 Speaker 1: welcome scream scream screen, and it was it was cute. 393 00:20:45,760 --> 00:20:48,679 Speaker 1: It looked like a fun website of the day. It 394 00:20:48,760 --> 00:20:51,480 Speaker 1: had a service marketplace. There was daily trivia on the 395 00:20:51,480 --> 00:20:56,080 Speaker 1: homepage that this is hysterical. There was a daily poll, 396 00:20:56,160 --> 00:20:59,199 Speaker 1: and on that day in October nineteen ninety nine, this 397 00:20:59,359 --> 00:21:01,480 Speaker 1: was the poll. When you get a chain letter from 398 00:21:01,480 --> 00:21:03,520 Speaker 1: a friend, you a immediately throw it away, B do 399 00:21:03,560 --> 00:21:05,520 Speaker 1: what it says asap, c hold on to it for 400 00:21:05,560 --> 00:21:09,680 Speaker 1: a while, and then lose it. So it's clearly they 401 00:21:09,680 --> 00:21:12,960 Speaker 1: weren't like super future facing. If they were like chain letters, 402 00:21:12,960 --> 00:21:14,960 Speaker 1: that's relatable, right right. 403 00:21:16,040 --> 00:21:19,400 Speaker 2: I found on also Chuck from February twenty ninth, two thousand, 404 00:21:19,560 --> 00:21:23,720 Speaker 2: so that was a leap here. It was the question 405 00:21:23,840 --> 00:21:26,640 Speaker 2: of the day was Bill and Monica, and then your 406 00:21:27,040 --> 00:21:31,040 Speaker 2: choices were love lust and as long as it's not Hillary, 407 00:21:33,160 --> 00:21:34,720 Speaker 2: that was the question of the day. 408 00:21:35,000 --> 00:21:38,760 Speaker 1: That's pretty funny. By that time, six or eight months 409 00:21:38,760 --> 00:21:41,399 Speaker 1: after the October one that was sent, and probably in 410 00:21:41,440 --> 00:21:44,920 Speaker 1: the February one that you saw, there were little nuggets 411 00:21:44,960 --> 00:21:48,600 Speaker 1: of engagement boosting that they were trying to use, like hey, 412 00:21:48,600 --> 00:21:52,240 Speaker 1: here's some content, here's some like join this mother's day group, 413 00:21:52,760 --> 00:21:56,879 Speaker 1: or we're going to spotlight this channel it was. They 414 00:21:56,920 --> 00:21:59,600 Speaker 1: would tell how many people were online at that moment, 415 00:21:59,600 --> 00:22:02,480 Speaker 1: which in the October nineteen nine Ney No, I was 416 00:22:02,880 --> 00:22:06,280 Speaker 1: five hundred and ten people, which sounds very funny. But 417 00:22:06,359 --> 00:22:10,439 Speaker 1: I distinctly remember being in like chat rooms where they 418 00:22:10,480 --> 00:22:13,040 Speaker 1: would say like like three hundred people are in there, 419 00:22:13,080 --> 00:22:14,919 Speaker 1: and I would it would blow my mind. 420 00:22:15,560 --> 00:22:16,520 Speaker 2: That there were that many. 421 00:22:16,880 --> 00:22:18,880 Speaker 1: Yeah, it just seemed like, oh my god, dude, I'm 422 00:22:18,880 --> 00:22:21,280 Speaker 1: in my living room in New Jersey and I'm on 423 00:22:21,320 --> 00:22:23,600 Speaker 1: this computer and there are three hundred people around the 424 00:22:23,640 --> 00:22:25,160 Speaker 1: world that I can talk to right now. 425 00:22:25,240 --> 00:22:27,960 Speaker 2: That's neat And what did you say that? 426 00:22:28,119 --> 00:22:32,600 Speaker 1: Well? I did have one specific interaction with someone. Of course, 427 00:22:32,640 --> 00:22:34,160 Speaker 1: at the time, I thought it was a real girl 428 00:22:34,359 --> 00:22:37,639 Speaker 1: about our love of Cat Stevens, and we had a 429 00:22:37,640 --> 00:22:40,359 Speaker 1: real back and forth going and a lot in common. 430 00:22:40,720 --> 00:22:43,400 Speaker 1: And I'm sure that was probably a nine year old boy. 431 00:22:43,440 --> 00:22:45,680 Speaker 2: You got cat fished over Cat Stevens. 432 00:22:46,119 --> 00:22:48,280 Speaker 1: I might have, who knows, but I remember thinking like, 433 00:22:48,400 --> 00:22:51,320 Speaker 1: hey man, this girl sounds super cool and there are 434 00:22:51,359 --> 00:22:53,479 Speaker 1: no pictures so a bit you know, she's cute as 435 00:22:53,480 --> 00:22:53,960 Speaker 1: far as I know. 436 00:22:54,280 --> 00:22:56,560 Speaker 2: Well, a nine year old boy who's into Cat Stevens 437 00:22:56,600 --> 00:22:57,760 Speaker 2: is probably pretty cool too. 438 00:22:58,160 --> 00:23:00,480 Speaker 1: Yeah, that probably would have been a better life unfriend 439 00:23:01,440 --> 00:23:03,120 Speaker 1: to chat about real music, right. 440 00:23:04,640 --> 00:23:07,159 Speaker 2: Another thing I saw on that February two thousand page 441 00:23:07,200 --> 00:23:10,440 Speaker 2: was the theme of the week, and this theme was 442 00:23:10,680 --> 00:23:14,199 Speaker 2: to thine own self improve. So there was like you 443 00:23:14,240 --> 00:23:19,679 Speaker 2: could click on to zen practice Group, self help, functui, Reiki, 444 00:23:20,040 --> 00:23:24,399 Speaker 2: there's a book club. They were just throwing everything they 445 00:23:24,440 --> 00:23:28,040 Speaker 2: could at this to just get people to interact more 446 00:23:28,040 --> 00:23:32,200 Speaker 2: and more and more, because it would the more engaged 447 00:23:32,240 --> 00:23:34,440 Speaker 2: you were, the more likely you were to send out 448 00:23:34,440 --> 00:23:36,800 Speaker 2: those emails to your friends and be like, hey, join 449 00:23:36,880 --> 00:23:38,280 Speaker 2: me on here. It's pretty awesome. 450 00:23:39,119 --> 00:23:41,959 Speaker 1: So maybe let's talk about pictures real quick and then 451 00:23:41,960 --> 00:23:44,719 Speaker 1: we'll take a break, because the lack of pictures is 452 00:23:44,920 --> 00:23:47,840 Speaker 1: the big deal, especially when you look at the modern Internet. 453 00:23:48,320 --> 00:23:52,560 Speaker 1: A website with just text and maybe you know, clip 454 00:23:52,640 --> 00:23:56,120 Speaker 1: art and stuff like that isn't super engaging obviously. So 455 00:23:56,400 --> 00:23:59,840 Speaker 1: the reason why they didn't have pictures is because there 456 00:23:59,880 --> 00:24:02,200 Speaker 1: was no way to get pictures there. You know, there 457 00:24:02,200 --> 00:24:05,680 Speaker 1: weren't digital cameras. The There was the Apple Quick Take 458 00:24:05,720 --> 00:24:08,400 Speaker 1: one hundred that was released a few years before. If 459 00:24:08,440 --> 00:24:10,600 Speaker 1: you look up pictures of this it's about the size 460 00:24:10,600 --> 00:24:14,240 Speaker 1: of a sandwich, kind of funny looking. It was the 461 00:24:14,280 --> 00:24:17,640 Speaker 1: first digital camera. It costs seven hundred and fifty bucks. 462 00:24:18,400 --> 00:24:20,600 Speaker 1: The Canon Power Shot was the first digital camera that 463 00:24:20,640 --> 00:24:23,800 Speaker 1: could write images to a hard disk. That was released 464 00:24:24,760 --> 00:24:28,919 Speaker 1: kind of one yeah, one year before six degrees came 465 00:24:28,920 --> 00:24:31,800 Speaker 1: online in nineteen ninety six. That was almost one thousand dollars, 466 00:24:32,480 --> 00:24:35,800 Speaker 1: had one hundred and seventy six megs of storage. But 467 00:24:35,880 --> 00:24:39,240 Speaker 1: the first camera phone didn't come along until ninety nine, 468 00:24:39,280 --> 00:24:43,920 Speaker 1: and that was a Kyo Serrah Visual Phone VP two ten. 469 00:24:45,000 --> 00:24:48,600 Speaker 2: Yeah, it was actually cheap, considering it's six hundred and 470 00:24:48,640 --> 00:24:51,639 Speaker 2: thirty four bucks in today's dollars for a camera phone. 471 00:24:52,280 --> 00:24:57,000 Speaker 2: It was a point eleven megapixel camera. For comparison, the 472 00:24:57,040 --> 00:25:00,439 Speaker 2: iPhone sixteen has as much as forty eight megapixels. Yeah, 473 00:25:00,480 --> 00:25:03,520 Speaker 2: but if you look up some of like the the 474 00:25:03,560 --> 00:25:08,280 Speaker 2: promotional images of this, there's like like Japanese women holding 475 00:25:08,359 --> 00:25:11,080 Speaker 2: the phone that's showing a picture of themselves. You can 476 00:25:11,160 --> 00:25:15,199 Speaker 2: clearly see who it is. Yes, that's another word for it. 477 00:25:15,440 --> 00:25:20,199 Speaker 2: I'm using nineteen ninety seven. Yeah, terminology though they like 478 00:25:20,400 --> 00:25:22,920 Speaker 2: you can see you can tell it's them. I think 479 00:25:22,920 --> 00:25:25,840 Speaker 2: one version of it is in color. It's not that bad, 480 00:25:27,040 --> 00:25:31,320 Speaker 2: especially for you can tell them. Yeah, you don't have 481 00:25:31,359 --> 00:25:34,400 Speaker 2: to like like squint your eyes to make the pixels 482 00:25:34,440 --> 00:25:37,960 Speaker 2: come together. And you're like, is that popeye? It's like 483 00:25:38,040 --> 00:25:40,040 Speaker 2: you can tell it's them. I guess yeah. I was 484 00:25:40,080 --> 00:25:40,879 Speaker 2: impressed by it. 485 00:25:41,119 --> 00:25:43,679 Speaker 1: So it did its most basic function as an image 486 00:25:43,680 --> 00:25:46,760 Speaker 1: capturing device, yes, being able to tell it was that 487 00:25:46,840 --> 00:25:47,680 Speaker 1: same right. 488 00:25:48,240 --> 00:25:50,320 Speaker 2: Oh. One other thing I saw about the Apple quick 489 00:25:50,320 --> 00:25:53,640 Speaker 2: Take one hundred. At its highest resolution, it could store 490 00:25:53,680 --> 00:25:58,320 Speaker 2: up to eight photos at once. Whoa, this is so 491 00:25:58,440 --> 00:26:00,800 Speaker 2: much fun. I love making fun of the early Internet. 492 00:26:00,960 --> 00:26:03,600 Speaker 1: I know that we live through. This is also a 493 00:26:03,640 --> 00:26:08,480 Speaker 1: true story. Winreich, the founder, would get emails where people 494 00:26:08,520 --> 00:26:13,520 Speaker 1: would say, hey, can I snail mail you a physical photo? 495 00:26:14,119 --> 00:26:16,360 Speaker 1: I have it? Can I send it to you via 496 00:26:16,480 --> 00:26:18,960 Speaker 1: the US Postal Service? And can you scan it and 497 00:26:18,960 --> 00:26:21,320 Speaker 1: attach it to my profile because you really need pictures 498 00:26:21,359 --> 00:26:22,160 Speaker 1: on this thing. 499 00:26:22,200 --> 00:26:26,520 Speaker 2: Right, And they were like maybe. And then somebody around 500 00:26:26,760 --> 00:26:29,520 Speaker 2: the table at the bull session said, well, what if 501 00:26:29,520 --> 00:26:32,520 Speaker 2: people want to start like updating or changing their photos? 502 00:26:33,119 --> 00:26:36,480 Speaker 2: And Andrew Wine I think it's wine Rich maybe, said yeah, 503 00:26:36,560 --> 00:26:40,680 Speaker 2: let's just skip that, all right. Okay, No, no, I'm 504 00:26:40,720 --> 00:26:44,560 Speaker 2: saying wine Rich said that not us. Oh yeah, yeah, 505 00:26:44,600 --> 00:26:48,159 Speaker 2: Well there's like a rare intro edit that didn't get 506 00:26:48,280 --> 00:26:49,400 Speaker 2: edited on purpose. 507 00:26:50,200 --> 00:26:51,320 Speaker 1: Should we take that break now? 508 00:26:51,440 --> 00:26:52,359 Speaker 2: I feel like we need two. 509 00:26:52,440 --> 00:26:54,280 Speaker 1: Yes, all right, I'm going to go do twenty pushups 510 00:26:54,320 --> 00:27:24,920 Speaker 1: for that and they'll be right back. All right, So Winrich, 511 00:27:25,000 --> 00:27:29,600 Speaker 1: it's wine Rich, wine Rich. I think wine Rich. 512 00:27:30,119 --> 00:27:33,720 Speaker 2: Okay, Yeah, I'm pretty sure that's how. I think it 513 00:27:33,760 --> 00:27:36,440 Speaker 2: was Wikipedia that had the pronunciation, and I think he 514 00:27:36,520 --> 00:27:37,320 Speaker 2: said wine. 515 00:27:37,119 --> 00:27:39,880 Speaker 1: Rich okay, all right, maybe he was trying to seem 516 00:27:39,920 --> 00:27:40,439 Speaker 1: less German. 517 00:27:41,880 --> 00:27:46,399 Speaker 2: Right. Yeah. That always reminds me of that part in 518 00:27:46,520 --> 00:27:51,440 Speaker 2: thirty Rock where Tina Fey is like, well, she's apologizing 519 00:27:51,920 --> 00:27:54,480 Speaker 2: and she said, I'm very sorry, like mister Wiener slav 520 00:27:54,880 --> 00:27:56,560 Speaker 2: and he said, it's Wiener slave. 521 00:28:00,800 --> 00:28:01,920 Speaker 1: That's such a good joke. 522 00:28:02,960 --> 00:28:06,000 Speaker 2: Have you ever seen Unbreakable, Kimmy Schmidt? Have you seen 523 00:28:06,000 --> 00:28:06,440 Speaker 2: that yet? 524 00:28:07,359 --> 00:28:09,280 Speaker 1: I watched it when it I mean when it came 525 00:28:09,320 --> 00:28:11,960 Speaker 1: out years ago. I watched the first like season or so. 526 00:28:12,320 --> 00:28:14,560 Speaker 2: There aren't that many shows that can make me actually 527 00:28:14,640 --> 00:28:16,880 Speaker 2: laugh out loud, and that's one of them. And it's 528 00:28:16,920 --> 00:28:20,600 Speaker 2: because Jeter is one of the best comedy writers to 529 00:28:20,640 --> 00:28:21,160 Speaker 2: ever live. 530 00:28:22,200 --> 00:28:25,600 Speaker 1: Yeah, agreed. I don't have you seen the Four Seasons yet? 531 00:28:26,400 --> 00:28:28,720 Speaker 2: No, I'm avoiding it. I saw that it's a remake 532 00:28:28,720 --> 00:28:30,359 Speaker 2: of an Allan all the film, and I have a 533 00:28:30,359 --> 00:28:34,960 Speaker 2: strict policy not to watch late seventies early eighties Allen 534 00:28:35,000 --> 00:28:36,440 Speaker 2: all the films or their remakes. 535 00:28:36,720 --> 00:28:40,520 Speaker 1: Oh God, your distaste for Alan Alda is truly disturbing. 536 00:28:40,680 --> 00:28:45,000 Speaker 2: The thing is, I've got nothing against Alan Alda personally. 537 00:28:45,080 --> 00:28:48,240 Speaker 2: It's just those kind of movies. Same with Elliott Gould. 538 00:28:48,360 --> 00:28:51,280 Speaker 2: I can't stand those kind of movies like where it's 539 00:28:51,360 --> 00:28:55,040 Speaker 2: just like like, hey, I can't even do an impression 540 00:28:55,040 --> 00:28:58,000 Speaker 2: of it, but I can't stand those kind of movies. 541 00:28:58,120 --> 00:29:00,560 Speaker 2: And somebody out there knows what I'm talking about. 542 00:29:00,840 --> 00:29:03,360 Speaker 1: Elliott gould kind of movies, Yes. 543 00:29:03,280 --> 00:29:07,200 Speaker 2: Whether it's Capricorn one or that Shaggy Dog movie that 544 00:29:07,280 --> 00:29:10,280 Speaker 2: he's in he plays the detective. 545 00:29:12,040 --> 00:29:14,360 Speaker 1: I will say that one movie I think you would 546 00:29:14,440 --> 00:29:16,880 Speaker 1: like is The Long Goodbye. 547 00:29:17,560 --> 00:29:19,920 Speaker 2: That's the one I'm talking about. That's the Shaggy Dog 548 00:29:19,960 --> 00:29:22,200 Speaker 2: Detective one. I don't think I would. 549 00:29:22,440 --> 00:29:24,720 Speaker 1: What does Shaggy Dog Detective mean? I don't know. 550 00:29:25,280 --> 00:29:27,920 Speaker 2: So Shaggy Dog is where like there's this whole build 551 00:29:28,000 --> 00:29:29,640 Speaker 2: up of like say, a mystery or something, and it 552 00:29:29,680 --> 00:29:32,480 Speaker 2: turns out to be nothing, Like there's really no point 553 00:29:32,520 --> 00:29:34,000 Speaker 2: to the movie in the end. 554 00:29:34,400 --> 00:29:37,280 Speaker 1: Oh okay, So I thought you would like The Longabye 555 00:29:37,280 --> 00:29:38,640 Speaker 1: great Robert Altman. 556 00:29:39,520 --> 00:29:42,680 Speaker 2: Noir, and I like Robert Allman stuff too. 557 00:29:42,720 --> 00:29:45,280 Speaker 1: Raymond Chandler book. No, still nothing, Huh. 558 00:29:45,360 --> 00:29:48,360 Speaker 2: I wouldn't if you made it. No, I can't make 559 00:29:48,480 --> 00:29:50,680 Speaker 2: if you made it before Elliott Gould was in it, 560 00:29:50,760 --> 00:29:52,800 Speaker 2: I would probably watch it, all. 561 00:29:52,760 --> 00:29:53,560 Speaker 1: Right, fair enough? 562 00:29:54,280 --> 00:29:57,640 Speaker 2: Wait one more thing? Yeah, yeah, speaking of great directors, 563 00:29:57,680 --> 00:30:00,000 Speaker 2: I finally saw a ghost dog way of the sam 564 00:30:00,400 --> 00:30:02,360 Speaker 2: But Jarmish, did you see that ever? 565 00:30:02,680 --> 00:30:04,120 Speaker 1: I saw that in the theater, Buddy. 566 00:30:03,920 --> 00:30:06,520 Speaker 2: I was guessing that you had. That is such a 567 00:30:06,560 --> 00:30:08,880 Speaker 2: good movie, man. I can't believe that slipped under my 568 00:30:09,000 --> 00:30:12,480 Speaker 2: radar because that totally was in my wheelhouse for that time. 569 00:30:12,880 --> 00:30:15,160 Speaker 1: Yeah. Yeah, Jarmish is the best. And Forest Whitaker was 570 00:30:15,200 --> 00:30:18,400 Speaker 1: so good in that. Yes, he was good music too. Yeah, 571 00:30:18,480 --> 00:30:20,800 Speaker 1: all right, where how did that start? Winwreck trying to 572 00:30:20,800 --> 00:30:25,480 Speaker 1: seem less German? This is the six degrees of that conversation. Yeah, 573 00:30:25,480 --> 00:30:28,920 Speaker 1: winter slave. So here's what wine rich. 574 00:30:29,200 --> 00:30:31,520 Speaker 2: Wait, there's one other thing that reminds me of too, 575 00:30:31,680 --> 00:30:33,880 Speaker 2: can you remember we were talking about the vanity license 576 00:30:33,920 --> 00:30:40,160 Speaker 2: plate episode. Yeah, uh huh, And like the greatest misconstrued 577 00:30:40,240 --> 00:30:43,400 Speaker 2: vanity plate of all time is where the guy had 578 00:30:43,560 --> 00:30:47,960 Speaker 2: j is Lord, like Jesus's Lord, but it's all one word, 579 00:30:48,040 --> 00:30:51,880 Speaker 2: so it says jizz lord Lord. That's the greatest vanity 580 00:30:51,920 --> 00:30:53,400 Speaker 2: plate anyone's ever had. 581 00:30:55,480 --> 00:30:58,040 Speaker 1: Oh, that definitely beats as Man even. 582 00:30:58,120 --> 00:30:59,960 Speaker 2: I think so too, which is a good one. 583 00:31:00,360 --> 00:31:02,280 Speaker 1: Yeah, that's really. 584 00:31:02,040 --> 00:31:06,280 Speaker 2: Funny, especially taking it in the content. 585 00:31:06,760 --> 00:31:11,600 Speaker 1: Yeah exactly. Yeah, who that guy was to be that 586 00:31:11,720 --> 00:31:14,960 Speaker 1: you know, dedicated of a Christian to do that on 587 00:31:15,000 --> 00:31:16,400 Speaker 1: your license plate, and that's what you end. 588 00:31:16,440 --> 00:31:18,480 Speaker 2: Up with rolling up the church with Jiz Lord on 589 00:31:18,520 --> 00:31:18,920 Speaker 2: your car. 590 00:31:19,560 --> 00:31:22,600 Speaker 1: Man, Well you can make a movie about that. 591 00:31:23,720 --> 00:31:26,040 Speaker 2: Was starring Elliott Gould Lord. 592 00:31:26,520 --> 00:31:30,760 Speaker 1: So win Rich said, and this is a quote that 593 00:31:30,920 --> 00:31:33,160 Speaker 1: just kind of shows how far ahead of his time 594 00:31:33,200 --> 00:31:36,280 Speaker 1: he was. His vision. It is a bun clear to 595 00:31:36,320 --> 00:31:38,520 Speaker 1: me that the world will index all of their relations 596 00:31:38,520 --> 00:31:41,920 Speaker 1: everyone's relationship in a single database. And that was like 597 00:31:41,960 --> 00:31:44,960 Speaker 1: before anyone else is doing it. So they started off 598 00:31:44,960 --> 00:31:48,600 Speaker 1: this thing as a just with a launch, like a 599 00:31:48,600 --> 00:31:51,440 Speaker 1: physical launch event, a party in New York City. They 600 00:31:51,480 --> 00:31:54,000 Speaker 1: had two hundred invited guests, and those were the first 601 00:31:54,360 --> 00:31:57,360 Speaker 1: two hundred members, and they were like, now you all 602 00:31:57,520 --> 00:32:01,160 Speaker 1: go out and and make this a thing inviting your friends. 603 00:32:01,760 --> 00:32:04,560 Speaker 1: So I'm curious who those two hundred people were. That's 604 00:32:04,560 --> 00:32:06,720 Speaker 1: a pretty interesting way to start at site like this. 605 00:32:06,960 --> 00:32:08,720 Speaker 2: I think there were a lot of tech savvy people 606 00:32:08,840 --> 00:32:13,080 Speaker 2: who were kind of like probably prime to take part 607 00:32:13,120 --> 00:32:16,000 Speaker 2: in this to begin with. And I think at first 608 00:32:16,000 --> 00:32:19,360 Speaker 2: they were adding like fifty new users a day, wow, 609 00:32:19,520 --> 00:32:23,120 Speaker 2: which again that's really small and thin. Even for the time. 610 00:32:23,200 --> 00:32:26,600 Speaker 2: This was pretty small. But they're doing this through like 611 00:32:26,760 --> 00:32:30,240 Speaker 2: email and stuff, you know, like it's it's really it's 612 00:32:30,280 --> 00:32:34,520 Speaker 2: a weird transfer from online world to real world. It 613 00:32:34,680 --> 00:32:38,000 Speaker 2: straddled both because it had to. Another good example of 614 00:32:38,000 --> 00:32:41,760 Speaker 2: that is that they would use reps to go to 615 00:32:41,840 --> 00:32:44,920 Speaker 2: campus to sign people up, just like that same credit 616 00:32:44,960 --> 00:32:49,800 Speaker 2: card model that credit card companies used to screw college kids' 617 00:32:49,880 --> 00:32:51,640 Speaker 2: parents out of a thousand dollars. 618 00:32:52,800 --> 00:32:57,160 Speaker 1: Yeah, I remember I had the AMEX College card. And 619 00:32:57,600 --> 00:32:59,600 Speaker 1: the only reason I got it I didn't even really 620 00:32:59,640 --> 00:33:02,840 Speaker 1: want need a credit card, but you got three Delta 621 00:33:02,840 --> 00:33:06,680 Speaker 1: flight vouchers who when you signed up for that card, 622 00:33:06,720 --> 00:33:08,240 Speaker 1: so I got three plane flights. 623 00:33:08,560 --> 00:33:10,640 Speaker 2: So where'd you go, I don't remember. 624 00:33:10,680 --> 00:33:12,520 Speaker 1: Well, I do remember, because I know I went to 625 00:33:12,720 --> 00:33:15,000 Speaker 1: LA for the first time to visit my brother when 626 00:33:15,040 --> 00:33:16,920 Speaker 1: he lived there. Nice when I was in college. 627 00:33:17,080 --> 00:33:19,640 Speaker 2: Did you go visit the six or nine year old 628 00:33:19,640 --> 00:33:20,520 Speaker 2: Cat Stevens fan? 629 00:33:22,480 --> 00:33:24,560 Speaker 1: I did, and that was a seventy five year old woman. 630 00:33:25,160 --> 00:33:27,600 Speaker 2: Wow. Man, this story goes all over there. 631 00:33:27,640 --> 00:33:30,280 Speaker 1: Yeah, it took it quite a weird turn. But we're 632 00:33:30,280 --> 00:33:32,760 Speaker 1: still good friends. She's still whether she's one hundred and two. 633 00:33:33,040 --> 00:33:35,760 Speaker 2: Oh really, yeah, that's cool. Man. Does she listen to 634 00:33:35,800 --> 00:33:36,880 Speaker 2: the podcast or is she like. 635 00:33:36,920 --> 00:33:39,440 Speaker 1: Nah, only Cat Stevens all the time. 636 00:33:40,200 --> 00:33:41,640 Speaker 2: That would get kind of old, I think. 637 00:33:42,720 --> 00:33:45,400 Speaker 1: So let's talk about the end of this thing, because, 638 00:33:45,480 --> 00:33:49,600 Speaker 1: as we all know, it's not still around. Although doctor 639 00:33:49,600 --> 00:33:51,640 Speaker 1: Claw said if you went there had a homepage, I 640 00:33:51,680 --> 00:33:53,520 Speaker 1: went there and I got an error. 641 00:33:53,360 --> 00:33:55,520 Speaker 2: Gateway time out the old five oh four. 642 00:33:55,600 --> 00:33:57,240 Speaker 1: Same here, the old five oh four. 643 00:33:57,440 --> 00:34:01,440 Speaker 2: Yeah, I I but it's there. It's if it weren't 644 00:34:01,480 --> 00:34:04,120 Speaker 2: a domain that was active, it would come back as like, hey, 645 00:34:04,200 --> 00:34:06,800 Speaker 2: you want to buy this domain, but it doesn't do that. 646 00:34:06,880 --> 00:34:10,440 Speaker 2: It just is so slow that you can't connect to it. 647 00:34:10,600 --> 00:34:13,040 Speaker 2: But it does domain to be there. Six degrees dot 648 00:34:13,120 --> 00:34:13,800 Speaker 2: com sure. 649 00:34:14,080 --> 00:34:18,480 Speaker 1: Yeah, I mean considering the public knowledge of just that term. 650 00:34:18,560 --> 00:34:21,839 Speaker 1: It's like you try go to trying going out these 651 00:34:21,920 --> 00:34:23,279 Speaker 1: days and getting a better domain name. 652 00:34:23,360 --> 00:34:26,280 Speaker 2: You know, you can't do it, You just can't. 653 00:34:27,320 --> 00:34:30,200 Speaker 1: Don't feel too bad for wine Rich or Reich or 654 00:34:30,360 --> 00:34:34,480 Speaker 1: Rick because he sold in nineteen ninety nine for one 655 00:34:34,520 --> 00:34:37,680 Speaker 1: hundred and one hundred and twenty five million in stock 656 00:34:37,800 --> 00:34:44,160 Speaker 1: options in youth Stream Media Networks. But this, you know, 657 00:34:44,320 --> 00:34:46,719 Speaker 1: if you know anything about Internet history, you know that 658 00:34:46,840 --> 00:34:49,920 Speaker 1: this thing shut down in ninety nine and what that meant. 659 00:34:50,000 --> 00:34:52,799 Speaker 1: That dot com bubble right there on the horizon in 660 00:34:52,800 --> 00:34:57,000 Speaker 1: two thousand shut down more websites than you could check 661 00:34:57,040 --> 00:34:57,520 Speaker 1: a stick out. 662 00:34:57,760 --> 00:34:59,560 Speaker 2: Yeah, and actually you can feel pretty bad for a 663 00:34:59,600 --> 00:35:01,480 Speaker 2: wine Rich because he took it that one hundred and 664 00:35:01,520 --> 00:35:03,799 Speaker 2: twenty five million dollars in stock and a company that 665 00:35:03,840 --> 00:35:08,040 Speaker 2: folded like months later because it was debt financed. So 666 00:35:08,640 --> 00:35:11,200 Speaker 2: I don't know how much he actually walked away with, 667 00:35:11,400 --> 00:35:14,480 Speaker 2: especially if there was possibly a blackout in him selling 668 00:35:14,520 --> 00:35:15,880 Speaker 2: those stock options. 669 00:35:16,600 --> 00:35:18,720 Speaker 1: Oh so yeah, yeah, what you're saying is youth Stream 670 00:35:18,760 --> 00:35:19,919 Speaker 1: itself also went under. 671 00:35:20,120 --> 00:35:23,120 Speaker 2: Yeah yeah, yeah, yeah, yeah, because they were just borrowing, 672 00:35:23,160 --> 00:35:25,319 Speaker 2: bar and borrowing, and that's how they existed, and then 673 00:35:25,360 --> 00:35:27,719 Speaker 2: when the when the dot com bubble burst, they were 674 00:35:27,800 --> 00:35:31,400 Speaker 2: worth nothing, and so that stock was worth nothing. I looked, 675 00:35:31,400 --> 00:35:34,359 Speaker 2: I couldn't find how much he actually did make from 676 00:35:34,360 --> 00:35:35,160 Speaker 2: that sale, like. 677 00:35:35,160 --> 00:35:36,520 Speaker 1: And we'll never find that out. 678 00:35:36,920 --> 00:35:39,279 Speaker 2: No, and that usually means that it's not a very 679 00:35:39,360 --> 00:35:41,839 Speaker 2: good amount. Yeah, they like to leak that stuff when 680 00:35:41,840 --> 00:35:44,600 Speaker 2: it's like eye popping, but when it's not, they're like, oh, 681 00:35:44,680 --> 00:35:45,440 Speaker 2: I don't remember. 682 00:35:45,920 --> 00:35:48,839 Speaker 1: Yeah, good point. The other problem was it was very 683 00:35:48,840 --> 00:35:51,800 Speaker 1: early in the Internet and that monetization was a real struggle. 684 00:35:52,600 --> 00:35:55,600 Speaker 1: They had some ads, of course, I believe their Question 685 00:35:55,640 --> 00:35:59,200 Speaker 1: of the Day had an actual sponsor, but it was 686 00:35:59,440 --> 00:36:03,560 Speaker 1: just a little bit too early, Like right after they 687 00:36:03,600 --> 00:36:07,520 Speaker 1: fell off, Friendster came along that also failed again, but 688 00:36:07,640 --> 00:36:11,160 Speaker 1: then MySpace and Facebook. Just just on the heels of this. 689 00:36:12,200 --> 00:36:14,319 Speaker 1: He did make some other dough off of it. I 690 00:36:14,360 --> 00:36:18,480 Speaker 1: think the patent that he had with six degrees for 691 00:36:18,560 --> 00:36:21,200 Speaker 1: the software for the platform he sold for seven hundred 692 00:36:21,239 --> 00:36:26,200 Speaker 1: thousand real dollars to the CEO of LinkedIn and the 693 00:36:26,200 --> 00:36:30,200 Speaker 1: CEO Mark Pinkus a website called Tribe and they were 694 00:36:30,200 --> 00:36:32,000 Speaker 1: both Friendster investors. 695 00:36:32,320 --> 00:36:34,759 Speaker 2: Yeah, and read Hoffmann and he said he and Mark 696 00:36:34,800 --> 00:36:38,440 Speaker 2: Pinkas were like essentially fans, like they were like Winrich 697 00:36:38,560 --> 00:36:42,120 Speaker 2: is a god here he this patent not only is 698 00:36:42,160 --> 00:36:45,600 Speaker 2: for the software, it's for the methodology of creating an 699 00:36:45,640 --> 00:36:48,200 Speaker 2: online social network. No when it ever come up with 700 00:36:48,239 --> 00:36:50,879 Speaker 2: something like that before. So they actually kind of bought 701 00:36:50,880 --> 00:36:54,400 Speaker 2: it for a song. I looked and LinkedIn is apparently 702 00:36:54,440 --> 00:36:59,960 Speaker 2: definitively not built on six degrees architecture, and it never was. 703 00:37:00,560 --> 00:37:04,160 Speaker 2: But it almost seems like they were either taking it 704 00:37:04,239 --> 00:37:07,600 Speaker 2: to learn from it or almost like they were buying 705 00:37:07,840 --> 00:37:12,360 Speaker 2: like some memorabilia. Oh, they were fans of I almost 706 00:37:12,440 --> 00:37:15,560 Speaker 2: got that an impression from an interview with Reid Hoffman. 707 00:37:16,360 --> 00:37:21,600 Speaker 1: Oh, very interesting. Andrew Weinreich went on to, do you 708 00:37:21,640 --> 00:37:23,839 Speaker 1: know a lot of more things like this. He's kind 709 00:37:23,840 --> 00:37:26,960 Speaker 1: of a serial entrepreneur. And again it seems like he 710 00:37:27,040 --> 00:37:31,920 Speaker 1: was always right there before the real thing came along, 711 00:37:32,280 --> 00:37:36,320 Speaker 1: because he had something called Meet Moi as an Moi 712 00:37:37,880 --> 00:37:41,680 Speaker 1: frinch for me, right, Yeah, yeah, I thought so. I 713 00:37:41,719 --> 00:37:44,120 Speaker 1: was just making sure. But that was a location based 714 00:37:44,200 --> 00:37:46,919 Speaker 1: dating app, and it was basically this idea that like hey, 715 00:37:47,360 --> 00:37:51,040 Speaker 1: dating app or dating websites are really tough even at 716 00:37:51,080 --> 00:37:53,239 Speaker 1: the time of the early Internet and like, let's at 717 00:37:53,280 --> 00:37:55,719 Speaker 1: least connect people who are physically close and it might 718 00:37:55,800 --> 00:37:59,640 Speaker 1: be easier to get real dates. The dating part of 719 00:37:59,680 --> 00:38:02,600 Speaker 1: that business was bought by the parent company Amatch dot com, 720 00:38:02,640 --> 00:38:06,719 Speaker 1: once again just right there next to the thing, and 721 00:38:07,080 --> 00:38:10,160 Speaker 1: he and his Memewhile co founder bought out the business 722 00:38:10,200 --> 00:38:12,319 Speaker 1: analytics part of their own company and use it to 723 00:38:12,320 --> 00:38:15,400 Speaker 1: found a data analytics company called Indicative. 724 00:38:15,000 --> 00:38:16,759 Speaker 2: Which is still around from what I can tell. 725 00:38:17,160 --> 00:38:18,759 Speaker 1: And all right, so maybe he's done right there. 726 00:38:18,920 --> 00:38:21,000 Speaker 2: Yeah, And so this was I mean, this was very 727 00:38:21,040 --> 00:38:24,200 Speaker 2: early two thousands too, and they were like they were 728 00:38:24,280 --> 00:38:28,480 Speaker 2: using like location tracking data at the time, and that 729 00:38:28,680 --> 00:38:32,120 Speaker 2: was huge and new, and so they kept that. I 730 00:38:32,120 --> 00:38:35,120 Speaker 2: think they ended up either selling it or licensing to 731 00:38:35,239 --> 00:38:39,400 Speaker 2: a company called Xtifi not a very good name. I 732 00:38:39,440 --> 00:38:40,680 Speaker 2: should call it twitter Ifi. 733 00:38:42,120 --> 00:38:44,160 Speaker 1: Yeah, and they had some like high profile clients. They 734 00:38:44,120 --> 00:38:47,799 Speaker 1: had Ritz Carlton, they had Staples, they had Sephora publisher's clearinghouse. 735 00:38:47,880 --> 00:38:50,680 Speaker 2: Yeah. So they were they were using those location apps 736 00:38:50,719 --> 00:38:54,239 Speaker 2: to advertise to you and send you push notifications on 737 00:38:54,280 --> 00:38:57,719 Speaker 2: your phone, which sadly means that Andrew Weinrich is going 738 00:38:57,760 --> 00:38:58,840 Speaker 2: to be going to hell for that. 739 00:39:00,360 --> 00:39:01,920 Speaker 1: I mean, did he create that idea. 740 00:39:01,960 --> 00:39:08,000 Speaker 2: I wonder he gave or he sold exsify the ability 741 00:39:08,080 --> 00:39:09,080 Speaker 2: to do that, so. 742 00:39:09,200 --> 00:39:10,600 Speaker 1: And then I bought them, right. 743 00:39:10,760 --> 00:39:12,919 Speaker 2: Yeah, So I'm not sure how much he made from 744 00:39:12,920 --> 00:39:15,680 Speaker 2: these buyouts. I hope a lot, because again, this guy 745 00:39:15,760 --> 00:39:18,040 Speaker 2: is like coming up with ideas and making stuff happen 746 00:39:18,719 --> 00:39:21,880 Speaker 2: long before they can become viable. And a lot of 747 00:39:21,880 --> 00:39:24,719 Speaker 2: people probably have gotten very rich off the back of 748 00:39:24,760 --> 00:39:27,400 Speaker 2: his ideas too. So I hope he's doing well. 749 00:39:28,200 --> 00:39:30,759 Speaker 1: Maybe if he's listening, or if someone knows him through 750 00:39:30,760 --> 00:39:35,200 Speaker 1: their degrees of connectivity, just get to him and have 751 00:39:35,320 --> 00:39:38,000 Speaker 1: him email us at Stuff podcast at iHeartMedia dot com 752 00:39:38,040 --> 00:39:41,560 Speaker 1: and just send us your bank statement. That's right, And 753 00:39:41,719 --> 00:39:42,160 Speaker 1: well know. 754 00:39:42,200 --> 00:39:44,600 Speaker 2: I want to specify by doing well, I don't mean 755 00:39:44,640 --> 00:39:47,000 Speaker 2: just financially. I mean I hope his well being is 756 00:39:47,080 --> 00:39:50,920 Speaker 2: sens of well being is totally nice and inflated and happy, 757 00:39:51,080 --> 00:39:54,160 Speaker 2: and you know that he's he's living a good life. 758 00:39:54,719 --> 00:39:56,960 Speaker 1: No, I agree. I cheapened it by making it financial. 759 00:39:57,040 --> 00:39:58,479 Speaker 1: And that's why you're the heart of the show. 760 00:39:58,719 --> 00:40:01,840 Speaker 2: Yeah, that's me. I'm the one you're not supposed to touch. Remember. 761 00:40:03,200 --> 00:40:04,200 Speaker 1: Oh, well, you know what I mean. 762 00:40:04,440 --> 00:40:06,320 Speaker 2: Oh, one thing that I did see that he's doing 763 00:40:06,360 --> 00:40:09,680 Speaker 2: now is a podcast called Predicting Our Future. It's about 764 00:40:09,680 --> 00:40:11,400 Speaker 2: what life is going to be like in the fairly 765 00:40:11,440 --> 00:40:16,560 Speaker 2: near future. It's pretty cool, fantastic, So, Chuck, I think 766 00:40:16,600 --> 00:40:19,759 Speaker 2: there's that's it for six degrees dot com. We got 767 00:40:19,760 --> 00:40:21,000 Speaker 2: forty minutes out of it. 768 00:40:21,520 --> 00:40:23,880 Speaker 1: Hey, not bad, lots of fun stories in between. 769 00:40:24,080 --> 00:40:27,960 Speaker 2: Yeah, and what did you just say in between? Right? Well, 770 00:40:28,000 --> 00:40:29,640 Speaker 2: then that means it's time for listener mail. 771 00:40:32,200 --> 00:40:34,479 Speaker 1: Boy. I'm glad I always know the trigger word. 772 00:40:35,120 --> 00:40:39,959 Speaker 2: Yeah, it's amazing you never fail each episode. Go me yep. 773 00:40:40,239 --> 00:40:43,200 Speaker 1: Hey, guys, I'm a forty something man with autism who 774 00:40:43,239 --> 00:40:45,560 Speaker 1: lives on his own and the need for impression management 775 00:40:45,960 --> 00:40:49,200 Speaker 1: hit close home. So this was I remember about. We 776 00:40:49,239 --> 00:40:53,040 Speaker 1: even speculated about impression management that we might hear from 777 00:40:53,239 --> 00:40:54,080 Speaker 1: some people with autism. 778 00:40:54,280 --> 00:40:55,200 Speaker 2: This was a great email. 779 00:40:55,760 --> 00:40:59,360 Speaker 1: It's a great This is a Josh curated even I 780 00:40:59,360 --> 00:41:02,040 Speaker 1: simply cannot match the body language of others and have 781 00:41:02,120 --> 00:41:05,200 Speaker 1: to fake it. I don't instinctively smile or look angry. 782 00:41:05,440 --> 00:41:08,239 Speaker 1: People say I have an almost disturbing calm demeanor. Being 783 00:41:08,239 --> 00:41:10,759 Speaker 1: calm sounds great, but it has gotten me searched for 784 00:41:10,800 --> 00:41:14,839 Speaker 1: additional screening. At twenty airports and even strip searched at one. 785 00:41:15,560 --> 00:41:18,280 Speaker 1: When people grill you for questioning a straight answer without 786 00:41:18,360 --> 00:41:21,960 Speaker 1: fear frustrates the hell out of people whose job it 787 00:41:22,000 --> 00:41:25,200 Speaker 1: is to make you feel uncomfortable. To help mask my autism, 788 00:41:25,200 --> 00:41:27,759 Speaker 1: I wear sunglasses to hide my eyes. Because of that, 789 00:41:27,840 --> 00:41:31,920 Speaker 1: I've gotten the nickname terminator. A flat affect. Direct language 790 00:41:31,960 --> 00:41:35,400 Speaker 1: doesn't help either. Discrimination is very real, guys, But I 791 00:41:35,480 --> 00:41:37,680 Speaker 1: like to say, getting angry at a person with autism 792 00:41:37,719 --> 00:41:40,279 Speaker 1: who doesn't adhere to societal norms, it's like getting angry 793 00:41:40,320 --> 00:41:43,560 Speaker 1: at a person with one leg that doesn't run marathons. 794 00:41:44,040 --> 00:41:47,319 Speaker 1: Hopefully people who listen will give people with a bit 795 00:41:47,360 --> 00:41:50,239 Speaker 1: of a quirk some slack. Thanks from a long time 796 00:41:50,320 --> 00:41:51,360 Speaker 1: listener that is Matt. 797 00:41:51,719 --> 00:41:53,480 Speaker 2: I'm glad Matt wrote that one, and that was a 798 00:41:53,520 --> 00:41:57,120 Speaker 2: good email, and I think he probably speaks for a 799 00:41:57,120 --> 00:41:58,600 Speaker 2: lot of people in that situation. 800 00:41:59,239 --> 00:42:02,560 Speaker 1: Totally good reminder to everybody, and something that, like we 801 00:42:02,600 --> 00:42:05,160 Speaker 1: talked about on that episode, as we've gotten older, we 802 00:42:05,200 --> 00:42:07,560 Speaker 1: try to sort of think about not just that, but 803 00:42:07,640 --> 00:42:10,359 Speaker 1: what everyone's going through in their life and maybe they're 804 00:42:10,400 --> 00:42:12,120 Speaker 1: not having their best day when you meet them. You know. 805 00:42:12,400 --> 00:42:15,840 Speaker 2: Yep, too true, Chuck, too true. If you want to 806 00:42:15,840 --> 00:42:17,960 Speaker 2: be like Matt and send us a world class email, 807 00:42:18,000 --> 00:42:20,279 Speaker 2: we would love that. You can send it off to 808 00:42:20,520 --> 00:42:26,719 Speaker 2: Stuff Podcasts at iHeartRadio dot com. 809 00:42:26,880 --> 00:42:29,759 Speaker 1: Stuff you Should Know is a production of iHeartRadio. For 810 00:42:29,840 --> 00:42:34,040 Speaker 1: more podcasts my heart Radio, visit the iHeartRadio app, Apple Podcasts, 811 00:42:34,160 --> 00:42:36,000 Speaker 1: or wherever you listen to your favorite shows.