1 00:00:00,320 --> 00:00:02,800 Speaker 1: Guess what, Mango, What's so the other day I was 2 00:00:02,840 --> 00:00:05,120 Speaker 1: thinking about our visit to the Google headquarters. You know, 3 00:00:05,160 --> 00:00:07,240 Speaker 1: this was several years ago. You remember this. Oh yeah, 4 00:00:07,280 --> 00:00:10,320 Speaker 1: that's when we tried to stump those employees, right, And so, listeners, 5 00:00:10,320 --> 00:00:12,200 Speaker 1: Mango and I were invited to speak to the employees 6 00:00:12,200 --> 00:00:14,160 Speaker 1: of Google after the release of one of our Mental 7 00:00:14,160 --> 00:00:16,759 Speaker 1: Flaws books. This was around the time where it felt 8 00:00:16,760 --> 00:00:20,640 Speaker 1: like everybody was talking about just how smart Google employees were, 9 00:00:20,960 --> 00:00:22,840 Speaker 1: you know, all these tests that they had to take 10 00:00:22,920 --> 00:00:25,239 Speaker 1: and everything they had to go through just to get hired. 11 00:00:25,720 --> 00:00:27,520 Speaker 1: And so we thought we'd put them to the test, 12 00:00:27,640 --> 00:00:30,520 Speaker 1: and we were sure we could stump them. We designed 13 00:00:30,520 --> 00:00:33,640 Speaker 1: the world's geekiest crossword puzzle. So to explain what this was, 14 00:00:33,680 --> 00:00:36,720 Speaker 1: we decided to not only create a really difficult cross word, 15 00:00:36,800 --> 00:00:39,839 Speaker 1: but we decided to hire an expert in constructed languages 16 00:00:40,280 --> 00:00:43,000 Speaker 1: and make all of the answers and constructed languages as well, 17 00:00:43,080 --> 00:00:46,560 Speaker 1: like Elvish and cling On and Esperanto. And we were 18 00:00:46,640 --> 00:00:49,080 Speaker 1: so cocky that we sent a message ahead of time 19 00:00:49,120 --> 00:00:51,519 Speaker 1: saying that anyone who finished the puzzle would win a 20 00:00:51,600 --> 00:00:54,080 Speaker 1: free subscription to Mental Flaws and a few gifts from 21 00:00:54,080 --> 00:00:56,959 Speaker 1: our online store. Well, not only were there more than 22 00:00:57,000 --> 00:00:59,920 Speaker 1: a dozen people who completed it, they were actually correct 23 00:01:00,040 --> 00:01:03,959 Speaker 1: thing are grammatical mistakes. Yeah, it's pretty great. And as 24 00:01:03,960 --> 00:01:05,880 Speaker 1: it turns out, that's not the only smart thing these 25 00:01:05,880 --> 00:01:08,960 Speaker 1: people have done. They've also built this little company called Google. 26 00:01:08,959 --> 00:01:11,800 Speaker 1: That's impressive. Yeah, and I guess it's pretty big now. 27 00:01:12,200 --> 00:01:14,360 Speaker 1: And uh, you know, we were curious about how they 28 00:01:14,360 --> 00:01:16,520 Speaker 1: managed to pull off this total dominance in the search 29 00:01:16,600 --> 00:01:19,560 Speaker 1: engine world. So today's show is all about the origins 30 00:01:19,560 --> 00:01:43,640 Speaker 1: of Google. Let's dive in. Hey their podcast listeners, Welcome 31 00:01:43,640 --> 00:01:46,120 Speaker 1: to Part Time Genius. I'm Will Pearson and as always 32 00:01:46,120 --> 00:01:48,520 Speaker 1: I'm joined by my good friend man guest Ticketer, and 33 00:01:48,560 --> 00:01:50,520 Speaker 1: on the other side of the soundproof glass one of 34 00:01:50,520 --> 00:01:53,360 Speaker 1: the half dozen people on the planet who still uses 35 00:01:53,520 --> 00:01:57,120 Speaker 1: dog pods his search engine of preference. That's our friend 36 00:01:57,160 --> 00:01:59,680 Speaker 1: and producer Tristan McNeil. I do respect him for this choice. 37 00:01:59,760 --> 00:02:01,760 Speaker 1: I know you just want those search results just dog 38 00:02:01,800 --> 00:02:05,080 Speaker 1: piled up, right. So I was thinking about search engines 39 00:02:05,080 --> 00:02:07,400 Speaker 1: a little bit. When you were in high school, did 40 00:02:07,400 --> 00:02:10,000 Speaker 1: your library have one of those like thick telephone books 41 00:02:10,000 --> 00:02:13,360 Speaker 1: of websites? Totally? I remember that was so ridiculous. Like 42 00:02:13,760 --> 00:02:16,600 Speaker 1: people actually thought that's how you search the web, Like 43 00:02:16,600 --> 00:02:18,520 Speaker 1: that's how you'd find a great history site or whatever, 44 00:02:18,639 --> 00:02:21,160 Speaker 1: and and you look up the page. But there's even 45 00:02:21,160 --> 00:02:24,240 Speaker 1: a magazine called Yahoo Internet. It was the most magas 46 00:02:24,280 --> 00:02:27,760 Speaker 1: told you about websites, like your websites you should go to. Yeah, 47 00:02:28,080 --> 00:02:32,080 Speaker 1: even like Roger Ebert was a contributor. I love that magazine. Anyway, 48 00:02:32,080 --> 00:02:35,040 Speaker 1: So I pulled some numbers for today's show, and according 49 00:02:35,080 --> 00:02:39,080 Speaker 1: to Statista, Google's worldwide market share amongst search engines roses 50 00:02:39,120 --> 00:02:42,920 Speaker 1: highs eighty nine percent last year. I know, so dominant. 51 00:02:42,919 --> 00:02:45,200 Speaker 1: And I was thinking about it. It's really hard to 52 00:02:45,280 --> 00:02:48,280 Speaker 1: name more than like five search engines five I know. Well, 53 00:02:48,320 --> 00:02:53,120 Speaker 1: I mean you can get like Google bing Yahoo, asked Jeeves. 54 00:02:53,200 --> 00:02:55,760 Speaker 1: That's still around, I think so. And then and then 55 00:02:55,800 --> 00:02:57,920 Speaker 1: you're just like grasping right like or or you're in 56 00:02:58,160 --> 00:03:01,800 Speaker 1: dead website territory like x it and Alta Vista. The 57 00:03:01,840 --> 00:03:04,560 Speaker 1: one of choice for me as a high schooler was 58 00:03:04,600 --> 00:03:06,440 Speaker 1: I think it was called web Crawler. Do you remember 59 00:03:06,440 --> 00:03:08,760 Speaker 1: that one? Yeah, tipe and web Crawler. I'm sure one 60 00:03:08,800 --> 00:03:10,680 Speaker 1: of the others bought it up. But anyway, well, for 61 00:03:10,720 --> 00:03:12,720 Speaker 1: all the Googlers out there, and there must be a 62 00:03:12,840 --> 00:03:15,280 Speaker 1: lot of you. Today's show is really for you. Now. 63 00:03:15,280 --> 00:03:17,919 Speaker 1: In past episodes, we've delved into the histories of iconic 64 00:03:17,960 --> 00:03:21,280 Speaker 1: companies like Amazon and Sears and Ikea, and so now 65 00:03:21,280 --> 00:03:23,720 Speaker 1: we're doing the same for Google, because while it may 66 00:03:23,720 --> 00:03:26,359 Speaker 1: be the world's most popular search engine and the second 67 00:03:26,400 --> 00:03:29,600 Speaker 1: most valuable brand this side of Apple, that hasn't always 68 00:03:29,600 --> 00:03:31,480 Speaker 1: been the case. So we want to take some time 69 00:03:31,520 --> 00:03:33,440 Speaker 1: to explore the early days of the company, and you know, 70 00:03:33,520 --> 00:03:35,360 Speaker 1: kind of trying to make sense of the business model 71 00:03:35,400 --> 00:03:38,840 Speaker 1: that propelled this link fetching startup from this rented garage 72 00:03:38,960 --> 00:03:41,680 Speaker 1: all the way to the five million square foot Google 73 00:03:41,720 --> 00:03:44,840 Speaker 1: Plex it calls home today. That's right. But before we 74 00:03:44,880 --> 00:03:46,480 Speaker 1: even get to the garage, we we need to talk 75 00:03:46,520 --> 00:03:49,760 Speaker 1: about a dorm room at Stanford University because that's really 76 00:03:49,800 --> 00:03:54,120 Speaker 1: where Google's story starts. So this is back and engineering 77 00:03:54,120 --> 00:03:56,840 Speaker 1: major from the University of Michigan named Larry Page was 78 00:03:56,920 --> 00:04:00,280 Speaker 1: just beginning his computer science PhD program at Stanford, and 79 00:04:00,360 --> 00:04:02,360 Speaker 1: he was searching for a topic for his thesis and 80 00:04:02,560 --> 00:04:05,400 Speaker 1: he kept coming back to the fairly new phenomena that 81 00:04:05,520 --> 00:04:08,440 Speaker 1: was the Internet. As an engineer, Page was interested in 82 00:04:08,440 --> 00:04:10,840 Speaker 1: the math behind it, and he actually recognized that each 83 00:04:10,920 --> 00:04:12,920 Speaker 1: web page was a point on a graph, and that 84 00:04:13,040 --> 00:04:15,320 Speaker 1: each link on a given page was a connection between 85 00:04:15,320 --> 00:04:18,240 Speaker 1: the points and this underlying structure he gave the Worldwide 86 00:04:18,240 --> 00:04:21,000 Speaker 1: Web it's form, and Page really wanted to understand it 87 00:04:21,000 --> 00:04:23,000 Speaker 1: from the inside out. All right, but you know, kind 88 00:04:23,000 --> 00:04:25,600 Speaker 1: of getting this group on the Internet's link structure seems 89 00:04:25,680 --> 00:04:28,360 Speaker 1: pretty far off from actually building your own search And 90 00:04:28,520 --> 00:04:30,719 Speaker 1: just so I'm curious, like, what's the line of thinking 91 00:04:30,720 --> 00:04:33,240 Speaker 1: that leads from one to the other. So you've got 92 00:04:33,240 --> 00:04:35,200 Speaker 1: to remember that Page was getting an early start on 93 00:04:35,200 --> 00:04:37,400 Speaker 1: his thesis, so he still had plenty of time to 94 00:04:37,440 --> 00:04:40,520 Speaker 1: find the final shape of his project. And one realization 95 00:04:40,560 --> 00:04:42,560 Speaker 1: that pointed him in the right direction was that the 96 00:04:42,600 --> 00:04:45,320 Speaker 1: Internet didn't provide a way to tell which websites were 97 00:04:45,320 --> 00:04:47,919 Speaker 1: linking to a given page. So, for example, if you 98 00:04:47,920 --> 00:04:50,559 Speaker 1: go on someone's tumbler page, right, you can follow links 99 00:04:50,560 --> 00:04:53,120 Speaker 1: from one page to another, but you can't actually tell 100 00:04:53,200 --> 00:04:56,160 Speaker 1: which sites link back to that person's tumbler. Is that true? 101 00:04:56,160 --> 00:04:59,720 Speaker 1: I have to admit I don't really use tumbler, And 102 00:04:59,800 --> 00:05:02,719 Speaker 1: so Page was annoyed. But yeah, so he thought it 103 00:05:02,720 --> 00:05:04,680 Speaker 1: was important to know who was linked to who man, 104 00:05:05,000 --> 00:05:07,200 Speaker 1: And while that might not be super interesting to most 105 00:05:07,279 --> 00:05:09,240 Speaker 1: of us, it actually makes a lot of sense why 106 00:05:09,240 --> 00:05:11,360 Speaker 1: it would be a concern for someone like him. I mean, 107 00:05:11,600 --> 00:05:15,240 Speaker 1: think about how important publishing is among academics. For math 108 00:05:15,279 --> 00:05:18,919 Speaker 1: and science scholars, especially, publishing research papers is a chief 109 00:05:18,960 --> 00:05:21,200 Speaker 1: way to make a name for yourself, and the only 110 00:05:21,200 --> 00:05:22,919 Speaker 1: thing that might get you more credibility is to be 111 00:05:22,960 --> 00:05:25,680 Speaker 1: cited as an authority in someone else's paper. And that's 112 00:05:25,680 --> 00:05:28,800 Speaker 1: because citations make up the backbone of academic papers. Like 113 00:05:28,839 --> 00:05:31,640 Speaker 1: you're always citing previously published research as evidence to back 114 00:05:31,720 --> 00:05:34,520 Speaker 1: up your points. So for the academic community, it's not 115 00:05:34,560 --> 00:05:37,400 Speaker 1: just the original content that determines the paper's worth, it's 116 00:05:37,400 --> 00:05:39,640 Speaker 1: also the citations in that paper and the number of 117 00:05:39,640 --> 00:05:42,800 Speaker 1: future papers that later cited. So the links are kind 118 00:05:42,839 --> 00:05:45,560 Speaker 1: of like a form of citations. As he's putting this 119 00:05:45,640 --> 00:05:47,840 Speaker 1: idea together, that's right. So in page his mind, the 120 00:05:47,839 --> 00:05:50,640 Speaker 1: whole Internet was more or less based on a citation system, 121 00:05:50,680 --> 00:05:53,680 Speaker 1: except that, unlike an academic publishing nobody was keeping track 122 00:05:53,720 --> 00:05:56,480 Speaker 1: of which pages were actually being cited by others. Okay, 123 00:05:56,520 --> 00:05:58,360 Speaker 1: so that it's it's starting to make sense here. So 124 00:05:58,400 --> 00:06:00,520 Speaker 1: in the academic world, if you saw that, you know, 125 00:06:00,560 --> 00:06:02,800 Speaker 1: like a chemistry professor's paper had been sighted by a 126 00:06:02,920 --> 00:06:05,800 Speaker 1: hundred other chemists, you could walk away from that being 127 00:06:05,920 --> 00:06:08,880 Speaker 1: fairly confident that it was an important paper. And so 128 00:06:08,960 --> 00:06:10,560 Speaker 1: what you're saying is Page wanted to find a way 129 00:06:10,600 --> 00:06:13,239 Speaker 1: to apply that kind of ranking system to the Internet 130 00:06:13,279 --> 00:06:16,120 Speaker 1: as a whole, exactly, and he figured that by counting 131 00:06:16,160 --> 00:06:18,560 Speaker 1: up the back links associate with every web page on 132 00:06:18,600 --> 00:06:21,600 Speaker 1: the Internet, you could actually determine the importance, or at 133 00:06:21,680 --> 00:06:24,680 Speaker 1: least the relative popularity of each one. And with that 134 00:06:24,760 --> 00:06:28,080 Speaker 1: goal in mind, project BackRub was born. You know, we've 135 00:06:28,120 --> 00:06:30,320 Speaker 1: talked about this fact before that that it was called 136 00:06:30,320 --> 00:06:32,720 Speaker 1: BackRub at first, But I don't think I actually know 137 00:06:32,920 --> 00:06:34,400 Speaker 1: how they came up with that, do you do? You 138 00:06:34,400 --> 00:06:36,000 Speaker 1: know why I was called that at first? I know, 139 00:06:36,040 --> 00:06:37,760 Speaker 1: I initially I thought they just had like a closet 140 00:06:37,760 --> 00:06:41,200 Speaker 1: full of masseuses. Actually it goes back to the idea 141 00:06:41,240 --> 00:06:45,760 Speaker 1: of retrieving and quantifying back links. So that would explain 142 00:06:45,800 --> 00:06:47,680 Speaker 1: the backpart. But but what about the rub I need 143 00:06:47,760 --> 00:06:50,400 Speaker 1: I need to know the rub man go why the rub? Well, 144 00:06:50,480 --> 00:06:52,640 Speaker 1: the program built for backroub was actually known as a 145 00:06:52,680 --> 00:06:55,440 Speaker 1: web crawler, because you know, like you're saying, it crawls 146 00:06:55,440 --> 00:06:57,799 Speaker 1: the whole Internet and he counts up links as it goes. 147 00:06:58,080 --> 00:07:00,839 Speaker 1: So I guess Backroub just sounded better than back roll. 148 00:07:00,960 --> 00:07:02,920 Speaker 1: I don't know. I mean they both found a little 149 00:07:02,960 --> 00:07:04,680 Speaker 1: crazy to me, so I'm kind of glad they ended 150 00:07:04,760 --> 00:07:06,680 Speaker 1: up changing names to it. But but maybe Larry Page 151 00:07:06,720 --> 00:07:09,240 Speaker 1: doesn't bear the full blame for that, because he actually 152 00:07:09,240 --> 00:07:12,440 Speaker 1: had a lot of help in bringing back rub to life. Right. Yeah, 153 00:07:12,480 --> 00:07:14,840 Speaker 1: So the other co founders for gay Brin also got 154 00:07:14,840 --> 00:07:17,080 Speaker 1: into the act around then too, and at the time 155 00:07:17,120 --> 00:07:19,520 Speaker 1: he was a second year grad student at Stanford's Computer 156 00:07:19,560 --> 00:07:22,520 Speaker 1: science department. He was ultimately the one who helped Page 157 00:07:22,520 --> 00:07:24,360 Speaker 1: figure out how to make use of a rock count 158 00:07:24,360 --> 00:07:27,200 Speaker 1: of links that Backgroub accumulated. So were these guys like 159 00:07:27,240 --> 00:07:30,200 Speaker 1: old friends. I'm curious how did Brand get involved? I mean, 160 00:07:30,200 --> 00:07:32,000 Speaker 1: did he just want to help out a friend, you know, 161 00:07:32,040 --> 00:07:34,720 Speaker 1: trying to start this project or not? Really? In fact, 162 00:07:34,760 --> 00:07:37,360 Speaker 1: for a while they were really antagonistic. And the two 163 00:07:37,440 --> 00:07:39,560 Speaker 1: had first met in the summer of nine. This is 164 00:07:39,600 --> 00:07:42,080 Speaker 1: when Page was visiting the Stanford campus as a prospect. 165 00:07:42,080 --> 00:07:44,200 Speaker 1: Then Britain was the tour guide and he took him 166 00:07:44,240 --> 00:07:47,200 Speaker 1: around and also showed him nearby San Francisco. But it 167 00:07:47,280 --> 00:07:50,880 Speaker 1: didn't actually go that well. So Britain Page argued the 168 00:07:51,160 --> 00:07:54,360 Speaker 1: entire time, really and they debated everything that came up 169 00:07:54,440 --> 00:07:56,400 Speaker 1: during the tour, and and they weren't shy about their 170 00:07:56,400 --> 00:07:59,320 Speaker 1: initial dislike for one another either. So there's this two 171 00:07:59,320 --> 00:08:01,840 Speaker 1: thousand and five I've interview with Wired, and in it, 172 00:08:01,960 --> 00:08:05,480 Speaker 1: Page says Serge is pretty social, he likes meeting people. 173 00:08:05,840 --> 00:08:08,760 Speaker 1: I thought it was pretty obnoxious. He had really strong 174 00:08:08,800 --> 00:08:11,560 Speaker 1: opinions about things, and I guess I did too. And 175 00:08:11,720 --> 00:08:13,840 Speaker 1: Brian's own account kind of just shows that the whole 176 00:08:13,880 --> 00:08:17,960 Speaker 1: feeling was mutual but maybe also not that serious. He said, quote, 177 00:08:18,160 --> 00:08:20,920 Speaker 1: we both found each other obnoxious, but we say it 178 00:08:20,920 --> 00:08:23,200 Speaker 1: a little bit jokingly. Obviously we spent a lot of 179 00:08:23,200 --> 00:08:25,080 Speaker 1: time talking to each other, so there was something there 180 00:08:25,400 --> 00:08:27,440 Speaker 1: and we kind of had a bantering thing going on. 181 00:08:27,760 --> 00:08:30,480 Speaker 1: Oh man, that's pretty interesting. So they were fast for enemies. 182 00:08:30,960 --> 00:08:33,240 Speaker 1: So after first impressions like that, like what made them 183 00:08:33,280 --> 00:08:36,800 Speaker 1: want to work together? Well, pages projects sound amazing and 184 00:08:36,840 --> 00:08:39,720 Speaker 1: this uh sort of made its way around campus and 185 00:08:39,840 --> 00:08:42,600 Speaker 1: Brin was actually attracted to the challenge. He'd already bounced 186 00:08:42,600 --> 00:08:44,640 Speaker 1: between a few different thesis topics of his own, but 187 00:08:44,880 --> 00:08:46,679 Speaker 1: none of them seemed half as interesting in light of 188 00:08:46,720 --> 00:08:49,560 Speaker 1: Backrupt And as Bryn put it, I talked to lots 189 00:08:49,600 --> 00:08:52,360 Speaker 1: of research groups and this was the most exciting project 190 00:08:52,559 --> 00:08:55,880 Speaker 1: because it tackled the web, which represents human knowledge, and 191 00:08:55,960 --> 00:08:58,920 Speaker 1: because I liked Larry. So see, they truly liked each other, 192 00:08:59,000 --> 00:09:02,199 Speaker 1: just like uh, Tommy Boy or Stepbrothers or any good 193 00:09:02,240 --> 00:09:05,480 Speaker 1: buddy comedy. Just like that. I mean, they definitely had 194 00:09:05,520 --> 00:09:07,360 Speaker 1: their work cut out for them, though, I mean crawling 195 00:09:07,440 --> 00:09:10,040 Speaker 1: the whole web. There's actually this site I've never heard 196 00:09:10,040 --> 00:09:11,839 Speaker 1: about until Gabe told us about it, but it's called 197 00:09:11,880 --> 00:09:15,240 Speaker 1: Worldwide Web Size dot com and it gives a daily 198 00:09:15,400 --> 00:09:18,280 Speaker 1: estimate of how big the Internet is. And today the 199 00:09:18,320 --> 00:09:22,119 Speaker 1: Internet contains at least four point four nine billion pages, 200 00:09:22,440 --> 00:09:24,200 Speaker 1: and these are the ones that we can see. So 201 00:09:24,280 --> 00:09:26,840 Speaker 1: it's a ton of links to count. Yeah, But but 202 00:09:26,960 --> 00:09:29,719 Speaker 1: to be fair, Backroub launched almost twenty five years ago 203 00:09:29,840 --> 00:09:32,000 Speaker 1: and the Web was only made up of about ten 204 00:09:32,080 --> 00:09:34,880 Speaker 1: million documents back then, which you know, don't get me wrong, 205 00:09:34,920 --> 00:09:37,520 Speaker 1: there's still an insane amount of links between those pages. 206 00:09:37,559 --> 00:09:39,880 Speaker 1: But you've got to remember Page and Britain weren't just 207 00:09:39,880 --> 00:09:42,080 Speaker 1: trying to count all those links. They were actually looking 208 00:09:42,080 --> 00:09:44,000 Speaker 1: for a way to rank the pages being linked to, 209 00:09:45,320 --> 00:09:47,800 Speaker 1: But but ranked by what? Like earlier you mentioned ranking 210 00:09:47,800 --> 00:09:50,880 Speaker 1: pages by importance, But what what makes one web page 211 00:09:50,880 --> 00:09:54,360 Speaker 1: more important than another? Sure? So the pair's ranking system 212 00:09:54,360 --> 00:09:56,880 Speaker 1: was designed to favorite links that came from important sources 213 00:09:57,120 --> 00:10:00,400 Speaker 1: while downplaying those that didn't. So, for example, there are 214 00:10:00,440 --> 00:10:02,960 Speaker 1: all kinds of different sites that link to Amazon, and 215 00:10:03,000 --> 00:10:05,320 Speaker 1: some of those links might come from business partners like 216 00:10:05,400 --> 00:10:08,160 Speaker 1: Whole Foods, but others just come from random people like 217 00:10:08,520 --> 00:10:10,920 Speaker 1: I don't know, like a teenager who's sharing gift ideas 218 00:10:10,960 --> 00:10:13,320 Speaker 1: on his blog. And from most people's point of view, 219 00:10:13,600 --> 00:10:15,960 Speaker 1: the business partner would be the more important link. Right. 220 00:10:16,080 --> 00:10:18,200 Speaker 1: That makes sense, But to an extent, it still feels 221 00:10:18,240 --> 00:10:21,000 Speaker 1: like a pretty human centric judgment call on this. I mean, 222 00:10:21,160 --> 00:10:24,560 Speaker 1: how would search engine know how to prioritize the company's 223 00:10:24,600 --> 00:10:28,960 Speaker 1: business partners over just their customers. Well, it wouldn't unless 224 00:10:28,960 --> 00:10:31,200 Speaker 1: you were able to translate that human measure of importance 225 00:10:31,240 --> 00:10:33,959 Speaker 1: into a set of criteria could recognize. And this is 226 00:10:34,000 --> 00:10:37,000 Speaker 1: really where page and Brand's biggest innovation comes in. It's 227 00:10:37,000 --> 00:10:39,960 Speaker 1: this algorithm known as page rank, and yeah, it is 228 00:10:40,000 --> 00:10:43,680 Speaker 1: actually named after page himself, and using this algorithm, BackRub 229 00:10:43,760 --> 00:10:45,839 Speaker 1: was actually able to keep track of both the number 230 00:10:45,840 --> 00:10:48,080 Speaker 1: of links into a particular site and the number of 231 00:10:48,120 --> 00:10:50,760 Speaker 1: links into each of those linking sites. So, to go 232 00:10:50,840 --> 00:10:53,280 Speaker 1: back to the Amazon example, like, imagine that only a 233 00:10:53,360 --> 00:10:57,080 Speaker 1: few other sites linked to the teenagers blog in a friends, family, whatever. 234 00:10:57,480 --> 00:10:59,160 Speaker 1: Since most of the sites that linked to his are 235 00:10:59,200 --> 00:11:02,360 Speaker 1: likely personal as well, they probably don't have many sites 236 00:11:02,440 --> 00:11:04,840 Speaker 1: linking to them either. But on the other hand, there 237 00:11:04,840 --> 00:11:07,080 Speaker 1: are thousands of sites that linked to Whole Foods, and 238 00:11:07,280 --> 00:11:09,640 Speaker 1: plenty of those sites also have thousands of sites linking 239 00:11:09,679 --> 00:11:12,719 Speaker 1: to them, So page rank would recognize this distinction and 240 00:11:13,200 --> 00:11:15,800 Speaker 1: deemed the Whole food site more important than the Teenagers 241 00:11:15,840 --> 00:11:19,000 Speaker 1: site with respect to Amazon at least. All right, so 242 00:11:19,040 --> 00:11:22,040 Speaker 1: it's importance by way of popularity. Then, you know, it's 243 00:11:22,080 --> 00:11:25,320 Speaker 1: also not a perfect system, but it's definitely pretty ingenious 244 00:11:25,320 --> 00:11:27,400 Speaker 1: the way they came up with this, And I'm also 245 00:11:27,440 --> 00:11:29,280 Speaker 1: guessing it didn't take long for Page and Brand to 246 00:11:29,320 --> 00:11:32,400 Speaker 1: realize these page rankings could make for a pretty incredible 247 00:11:32,400 --> 00:11:35,960 Speaker 1: search engine. Yeah not at Also, they quickly found the 248 00:11:36,000 --> 00:11:39,319 Speaker 1: backrupt delivered better results than you know, any other search 249 00:11:39,360 --> 00:11:42,960 Speaker 1: engine out there, and because engines like Alta, Vista and exite. 250 00:11:42,960 --> 00:11:46,640 Speaker 1: We're only pulling in ranking sites based on giving keywords. 251 00:11:46,960 --> 00:11:48,920 Speaker 1: You could get linked to sites that really weren't that 252 00:11:48,960 --> 00:11:52,320 Speaker 1: authoritative or useful. They didn't have that secret weapon of 253 00:11:52,320 --> 00:11:55,000 Speaker 1: a link counting algorithm like page rank. But Page and 254 00:11:55,000 --> 00:11:58,040 Speaker 1: Britain search engine wasn't just superior at the time. Its 255 00:11:58,080 --> 00:12:00,480 Speaker 1: design meant that it would only get better and better 256 00:12:00,559 --> 00:12:03,640 Speaker 1: the bigger the Internet grew, and as more pages and 257 00:12:03,679 --> 00:12:06,360 Speaker 1: links were added to the web, the BackRub engine scaled 258 00:12:06,360 --> 00:12:09,679 Speaker 1: accordingly and was made to become more accurate. I mean, 259 00:12:09,720 --> 00:12:12,440 Speaker 1: it was a phenomenal design and it's actually from this 260 00:12:12,559 --> 00:12:15,840 Speaker 1: infinite scalability that we get the name Google. The founders 261 00:12:15,880 --> 00:12:18,280 Speaker 1: chose to play it as a word on Google, which 262 00:12:18,360 --> 00:12:20,640 Speaker 1: is uh the term for the number one followed by 263 00:12:20,679 --> 00:12:23,800 Speaker 1: a hundred zeros. I mean, honestly, anything is better than 264 00:12:23,840 --> 00:12:27,440 Speaker 1: the name BackRub. So good choice there. But all right, 265 00:12:27,480 --> 00:12:29,640 Speaker 1: so they have a name, they have a working engine, 266 00:12:29,920 --> 00:12:33,280 Speaker 1: but you know, complexity aside. This is still a school project, right, like, 267 00:12:33,559 --> 00:12:35,600 Speaker 1: it's not a business at this point. Yeah. So the 268 00:12:35,600 --> 00:12:37,840 Speaker 1: first version of Google was actually released as a feature 269 00:12:37,840 --> 00:12:40,880 Speaker 1: on the Stanford website in August of nineties, which by 270 00:12:40,880 --> 00:12:43,160 Speaker 1: the way, was only one year after Page and Brand 271 00:12:43,200 --> 00:12:46,079 Speaker 1: first met and, as we said, immediately hated each other. 272 00:12:46,480 --> 00:12:48,120 Speaker 1: And wait, now that we've covered Google and how it 273 00:12:48,160 --> 00:12:50,040 Speaker 1: got it start, let's talk a little bit about it 274 00:12:50,040 --> 00:12:53,720 Speaker 1: that made the transition to you know, a proper company. Sure, 275 00:12:53,760 --> 00:13:08,839 Speaker 1: but before we do, let's take a quick break. You're 276 00:13:08,840 --> 00:13:10,760 Speaker 1: listening to part Time Genius and we're talking about how 277 00:13:10,800 --> 00:13:13,840 Speaker 1: Google became the go to source for information on well 278 00:13:14,040 --> 00:13:17,240 Speaker 1: just about everything. Okay, So, by the fall of ninety six, 279 00:13:17,440 --> 00:13:19,600 Speaker 1: Larry Page and Serge Brand knew they had to hit 280 00:13:19,640 --> 00:13:21,800 Speaker 1: on their hands, but they weren't sure if they were 281 00:13:21,800 --> 00:13:24,600 Speaker 1: ready for all the responsibilities and headaches that come with 282 00:13:24,679 --> 00:13:27,320 Speaker 1: starting and running a business. I mean, doing so would 283 00:13:27,360 --> 00:13:31,120 Speaker 1: mean leaving Stanford early without graduating, and that was a 284 00:13:31,120 --> 00:13:34,439 Speaker 1: tough pill to swallow given their academic backgrounds. Or they 285 00:13:34,480 --> 00:13:36,760 Speaker 1: obviously went for it anyway. So so what caused them 286 00:13:36,800 --> 00:13:39,640 Speaker 1: to change their minds? Ultimately They're big push came from 287 00:13:39,679 --> 00:13:44,079 Speaker 1: Brian's college advisor, offering a bit of perspective. He said, uh, look, 288 00:13:44,240 --> 00:13:46,600 Speaker 1: if this Google thing pans out, then great, If not, 289 00:13:46,800 --> 00:13:49,040 Speaker 1: you can return to graduate school and finish your thesis. 290 00:13:49,280 --> 00:13:52,160 Speaker 1: And that seems sensible enough to brin. So he said, yeah, okay, 291 00:13:52,200 --> 00:13:54,240 Speaker 1: why not, I'll just give it a try. I love 292 00:13:54,280 --> 00:13:56,559 Speaker 1: how nonchalant this whole thing was. Like, I know they 293 00:13:56,600 --> 00:13:59,199 Speaker 1: can't know then what they know now, but just think, 294 00:13:59,160 --> 00:14:01,280 Speaker 1: get this idea of like, okay, like ditch school and 295 00:14:01,320 --> 00:14:04,280 Speaker 1: start a multibillion dollar tech company. You want to do it? Okay? 296 00:14:04,400 --> 00:14:06,680 Speaker 1: I mean there actually was a little hesitation in there. 297 00:14:06,960 --> 00:14:10,120 Speaker 1: Apparently they brought the idea to Excite and asked them 298 00:14:10,160 --> 00:14:12,520 Speaker 1: to buy it for one point six million dollars one 299 00:14:12,559 --> 00:14:15,160 Speaker 1: point six million, I know, And and there was actually 300 00:14:15,160 --> 00:14:17,040 Speaker 1: a discussion they had it In the story I read, 301 00:14:17,080 --> 00:14:19,440 Speaker 1: it was really more Larry Page trying to sell the idea. 302 00:14:19,760 --> 00:14:21,920 Speaker 1: But he said he'd stay with Excite for like a 303 00:14:21,960 --> 00:14:24,000 Speaker 1: few months, and then he wanted to return to school. 304 00:14:24,200 --> 00:14:27,680 Speaker 1: But the CEO of Excite said BackRub was actually too 305 00:14:27,760 --> 00:14:30,880 Speaker 1: effective and it would actually drive people off the site 306 00:14:30,880 --> 00:14:32,680 Speaker 1: too quickly, like he wanted to slow it down to 307 00:14:33,440 --> 00:14:36,600 Speaker 1: its speed, just to make sure that the customers stayed 308 00:14:36,600 --> 00:14:39,080 Speaker 1: on the search engine and looked at display ads. And 309 00:14:39,120 --> 00:14:42,160 Speaker 1: then like the talks broke down from there, and and weirdly, 310 00:14:42,320 --> 00:14:45,280 Speaker 1: like while there's talk of conversation for page in those discussions, 311 00:14:45,480 --> 00:14:48,200 Speaker 1: there's actually no mention of Britain, at least that's what 312 00:14:48,360 --> 00:14:51,680 Speaker 1: business insiders reporting in the memos showed. That is so strange, 313 00:14:51,680 --> 00:14:54,080 Speaker 1: all right, So they took their professor's advice. They moved 314 00:14:54,080 --> 00:14:56,240 Speaker 1: out of the dorm room and the Google's first office 315 00:14:56,680 --> 00:14:58,200 Speaker 1: you know, which, as we mentioned, was actually just a 316 00:14:58,240 --> 00:15:01,479 Speaker 1: garage and the suburbs of I think was Menlo Park, California. 317 00:15:01,920 --> 00:15:05,360 Speaker 1: You know. This is August of and shortly after that, 318 00:15:05,400 --> 00:15:07,440 Speaker 1: the duo received an investment I think it was a 319 00:15:07,480 --> 00:15:10,040 Speaker 1: hundred thousand dollars and this was from the co founder 320 00:15:10,080 --> 00:15:13,600 Speaker 1: of Sun Microsystems. This was actually a pretty risky move. 321 00:15:13,680 --> 00:15:17,200 Speaker 1: I mean, Google wasn't even incorporated as this legitimate company yet, 322 00:15:17,280 --> 00:15:19,520 Speaker 1: so they were forking over a good bit of money 323 00:15:19,520 --> 00:15:23,800 Speaker 1: for this unproven private enterprise just a couple of college dropouts. 324 00:15:23,800 --> 00:15:26,560 Speaker 1: I mean, it's definitely not a safe bet. Yeah, So 325 00:15:26,600 --> 00:15:29,000 Speaker 1: I read that their first investment check was actually made 326 00:15:29,000 --> 00:15:31,920 Speaker 1: out to Google, Inc. Which, as you said, didn't exist yet. 327 00:15:32,120 --> 00:15:34,600 Speaker 1: So Patroon Brent figured, hey, now might be a good 328 00:15:34,640 --> 00:15:37,720 Speaker 1: time to incorporate, and so they did. Wow. Of course 329 00:15:37,720 --> 00:15:40,480 Speaker 1: that investment paid off for everyone in the end. In fact, 330 00:15:40,560 --> 00:15:42,320 Speaker 1: we talked about the garage that they rented that was 331 00:15:42,400 --> 00:15:45,040 Speaker 1: from somebody named Susan W. Jicki And and she went 332 00:15:45,080 --> 00:15:47,200 Speaker 1: on to become the marketing manager for Google, and I 333 00:15:47,200 --> 00:15:50,520 Speaker 1: think she was their sixteenth employee. Well today she's the 334 00:15:50,520 --> 00:15:53,800 Speaker 1: CEO of YouTube. That's awesome. And I know from our 335 00:15:53,880 --> 00:15:57,360 Speaker 1: Amazon episode that all kinds of eccentric business practices and 336 00:15:57,440 --> 00:16:00,080 Speaker 1: cost saving measures crop up during the garage based days 337 00:16:00,120 --> 00:16:02,680 Speaker 1: of these giant companies. So like you remember the bell 338 00:16:02,800 --> 00:16:05,200 Speaker 1: Amazon employees would ring whenever they made a sale, or 339 00:16:05,400 --> 00:16:08,160 Speaker 1: those makeshift desks they called together from old doors. Did 340 00:16:08,360 --> 00:16:10,760 Speaker 1: do you come across anything like that for Google? Oh definitely, 341 00:16:10,800 --> 00:16:12,840 Speaker 1: I mean there's there's a bunch of examples. But you 342 00:16:12,880 --> 00:16:15,640 Speaker 1: know how companies use these big server racks and cabinets 343 00:16:15,680 --> 00:16:17,600 Speaker 1: to to keep you know, like they're all their computing 344 00:16:17,640 --> 00:16:20,240 Speaker 1: power and everything. Well, the rat Google started with was 345 00:16:20,280 --> 00:16:24,440 Speaker 1: built entirely from legos. This was actually a pretty smart move. 346 00:16:24,560 --> 00:16:26,640 Speaker 1: You know, they were pretty cash strapped and it helped 347 00:16:26,680 --> 00:16:28,880 Speaker 1: them expand along the way as long as they had 348 00:16:28,920 --> 00:16:31,680 Speaker 1: some you know, extra bricks lying around. But actually the 349 00:16:31,680 --> 00:16:34,280 Speaker 1: most famous bit of a reverence is probably the rotating 350 00:16:34,280 --> 00:16:36,640 Speaker 1: assortment of those Google doodles that show up on the 351 00:16:36,680 --> 00:16:39,280 Speaker 1: site's landing page. And believe it or not, they also 352 00:16:39,320 --> 00:16:42,000 Speaker 1: got their start in Susan's garage. I didn't realize they 353 00:16:42,040 --> 00:16:45,160 Speaker 1: went back that far. According to Public Radio International, they're 354 00:16:45,200 --> 00:16:49,120 Speaker 1: well over four thousand different Google doodles today, but the 355 00:16:49,240 --> 00:16:53,440 Speaker 1: very first one dates back to August thirty. N Now, 356 00:16:53,520 --> 00:16:55,920 Speaker 1: all the stress from their impending in corporation was really 357 00:16:55,960 --> 00:16:58,560 Speaker 1: starting to get to the guys, so before they even 358 00:16:58,600 --> 00:17:01,120 Speaker 1: finished all the necessary pay or work, they decided to 359 00:17:01,120 --> 00:17:03,240 Speaker 1: spend a week of the Nevada Desert at the annual 360 00:17:03,320 --> 00:17:06,639 Speaker 1: burning Man Festival. Serious. Yeah, it's so funny because, like 361 00:17:06,680 --> 00:17:08,639 Speaker 1: you'd think of it as a thing now where like 362 00:17:09,040 --> 00:17:11,240 Speaker 1: over Norquist is going and all these c t O 363 00:17:11,400 --> 00:17:14,040 Speaker 1: s I like have to show up. But this was 364 00:17:14,040 --> 00:17:16,280 Speaker 1: twenty years ago. I know, it's pretty wild. So so 365 00:17:16,520 --> 00:17:18,159 Speaker 1: they just had a vision for the doodle out and 366 00:17:18,200 --> 00:17:21,080 Speaker 1: the fly off. Well, no, the first toodle actually came 367 00:17:21,119 --> 00:17:23,080 Speaker 1: in the form of this out of office message that 368 00:17:23,160 --> 00:17:25,880 Speaker 1: page and brand added to the company's homepage before they 369 00:17:25,880 --> 00:17:28,320 Speaker 1: headed out to the desert. I guess they weren't planning 370 00:17:28,320 --> 00:17:29,840 Speaker 1: to spend a lot of time in their computer at 371 00:17:29,840 --> 00:17:32,760 Speaker 1: Burring man, but you know, appropriately enough. They decided to 372 00:17:32,920 --> 00:17:35,640 Speaker 1: use that burning man logo just a little stick figure guy, 373 00:17:35,680 --> 00:17:38,520 Speaker 1: and they placed it behind the second oh in Google, 374 00:17:38,960 --> 00:17:41,520 Speaker 1: and the guys liked the idea of decorating the company 375 00:17:41,560 --> 00:17:44,359 Speaker 1: logo as a way to mark notable events, and so 376 00:17:44,440 --> 00:17:46,600 Speaker 1: much so. In fact, two years later, the founders asked 377 00:17:46,600 --> 00:17:48,639 Speaker 1: one of their interns to drop up a doodle for 378 00:17:48,720 --> 00:17:51,320 Speaker 1: Best Deal Day. I love that this was the next 379 00:17:51,320 --> 00:17:53,720 Speaker 1: one that they decided. But the result was a hit, 380 00:17:53,800 --> 00:17:56,520 Speaker 1: so Page and Brand requested more and then promoted the 381 00:17:56,560 --> 00:18:00,480 Speaker 1: intern to the rank of chief Doodler. I feel like 382 00:18:00,480 --> 00:18:02,399 Speaker 1: his parents must have been so proud. Well, I mean, 383 00:18:02,400 --> 00:18:03,920 Speaker 1: I don't know how proud they were then, but they 384 00:18:04,000 --> 00:18:06,760 Speaker 1: definitely should be now. So the guy's name is Dennis Wang, 385 00:18:06,800 --> 00:18:09,680 Speaker 1: and I know when we visited Google, that was probably 386 00:18:09,720 --> 00:18:12,240 Speaker 1: the most excited we got. We were like, dude that 387 00:18:13,359 --> 00:18:16,480 Speaker 1: I think we even took a picture that was pretty awesome. Well, 388 00:18:16,480 --> 00:18:19,280 Speaker 1: in addition to cranking out about fifty doodles per years 389 00:18:19,320 --> 00:18:22,640 Speaker 1: since two thousand, he actually later became the company's international 390 00:18:22,720 --> 00:18:25,960 Speaker 1: webmaster too. That's pretty amazing, And I do love how 391 00:18:26,000 --> 00:18:27,720 Speaker 1: that seems to be a theme with these guys. Like 392 00:18:28,000 --> 00:18:30,040 Speaker 1: the woman who read them her garage became one of 393 00:18:30,080 --> 00:18:32,359 Speaker 1: their c e o s. And the guy who made 394 00:18:32,359 --> 00:18:34,240 Speaker 1: the funny drawings was put in charge of all their 395 00:18:34,280 --> 00:18:38,200 Speaker 1: international content. You know, it's pretty cool. And obviously they've 396 00:18:38,200 --> 00:18:41,600 Speaker 1: won lots of awards for employee satisfaction. You know. It 397 00:18:41,680 --> 00:18:44,000 Speaker 1: was funny when when we went out to the Google campus, 398 00:18:44,040 --> 00:18:46,439 Speaker 1: which was you know, forever ago, it just seemed like 399 00:18:46,480 --> 00:18:49,280 Speaker 1: such a dream place to work. Like they did your laundry, 400 00:18:49,440 --> 00:18:51,760 Speaker 1: people had their dogs with them. There were these like 401 00:18:52,040 --> 00:18:54,960 Speaker 1: free T shirt bins that everyone was so excited about, 402 00:18:55,040 --> 00:18:58,000 Speaker 1: like rationally excited about. And I remember it was sunny 403 00:18:58,000 --> 00:18:59,840 Speaker 1: and there were just people on the green with their 404 00:19:00,200 --> 00:19:02,960 Speaker 1: tops working, but then they'd seven into like a set 405 00:19:02,960 --> 00:19:05,520 Speaker 1: of volleyball that was going on. It was it was 406 00:19:05,680 --> 00:19:08,359 Speaker 1: phenomenal to see, like I'd heard all these things about Google, 407 00:19:08,400 --> 00:19:11,479 Speaker 1: but seeing it is completely different. Yeah. Well, since you're 408 00:19:11,480 --> 00:19:13,880 Speaker 1: bringing up Google's more benevolent aspects, I mean, why don't 409 00:19:13,880 --> 00:19:16,600 Speaker 1: we talk a little bit about the guiding philosophies that 410 00:19:16,600 --> 00:19:19,160 Speaker 1: that that kind of took shape during those early years 411 00:19:19,160 --> 00:19:21,960 Speaker 1: of the company. Because it was around this time that 412 00:19:22,000 --> 00:19:24,280 Speaker 1: Google laid out both its mission statement and that mission 413 00:19:24,320 --> 00:19:27,480 Speaker 1: statement is quote to organize the world's information and make 414 00:19:27,480 --> 00:19:31,320 Speaker 1: it universally accessible and useful. And then its official motto, 415 00:19:31,400 --> 00:19:35,120 Speaker 1: which used to be don't be evil, right and and 416 00:19:35,200 --> 00:19:37,320 Speaker 1: I mean the company kind of downplays that model more 417 00:19:37,320 --> 00:19:39,680 Speaker 1: and more over time, not that I think they're pro 418 00:19:39,800 --> 00:19:42,480 Speaker 1: evil now. Well, you know, for a good long while 419 00:19:42,560 --> 00:19:45,359 Speaker 1: Google seemed to take the mantra pretty seriously, and it 420 00:19:45,400 --> 00:19:47,280 Speaker 1: was actually a big part of the founders two thousand 421 00:19:47,320 --> 00:19:50,480 Speaker 1: four letter when they were announcing that Google was going public. 422 00:19:50,840 --> 00:19:53,159 Speaker 1: And those three little words. I mean that there's still 423 00:19:53,240 --> 00:19:55,760 Speaker 1: the cornerstone of the company's code of conduct if you 424 00:19:55,800 --> 00:19:57,919 Speaker 1: were to go look it up. So I am curious 425 00:19:57,920 --> 00:19:59,760 Speaker 1: who actually came up with mono was a page or 426 00:20:00,040 --> 00:20:02,399 Speaker 1: in uh, you know, it might not have been either 427 00:20:02,480 --> 00:20:04,399 Speaker 1: one of them, although both of them took to it 428 00:20:04,440 --> 00:20:07,280 Speaker 1: pretty quickly, and and the real origin of the phrases 429 00:20:07,440 --> 00:20:10,639 Speaker 1: is still somewhat disputed, but the best guest credits the 430 00:20:10,640 --> 00:20:14,960 Speaker 1: inspiration to Paul Bouchette, who was the engineer who created Gmail. Now, 431 00:20:14,960 --> 00:20:17,560 Speaker 1: in his mind, the motto was quote a bit of 432 00:20:17,600 --> 00:20:20,800 Speaker 1: a jab at a lot of other companies, especially our competitors, 433 00:20:20,960 --> 00:20:23,199 Speaker 1: who at the time, in our opinion, we're kind of 434 00:20:23,240 --> 00:20:26,480 Speaker 1: exploiting the users to some extent, which is a little 435 00:20:26,480 --> 00:20:29,160 Speaker 1: bit too be funny to hear, given what they do 436 00:20:29,240 --> 00:20:32,440 Speaker 1: with everything. But you know, Google wanted to set itself apart, 437 00:20:32,480 --> 00:20:34,680 Speaker 1: and most of the higher ups agreed the best way 438 00:20:34,720 --> 00:20:37,400 Speaker 1: of doing so was just to not be evil, which 439 00:20:37,440 --> 00:20:40,000 Speaker 1: is interesting because like, what does it really mean? I mean, 440 00:20:40,240 --> 00:20:42,280 Speaker 1: it seems like, just like with that question of how 441 00:20:42,320 --> 00:20:45,120 Speaker 1: to define the importance of a web page, there isn't 442 00:20:45,119 --> 00:20:48,359 Speaker 1: actually like a single clear cut definition for evil. Yeah, 443 00:20:48,359 --> 00:20:50,119 Speaker 1: it's true, but you know, if you look at some 444 00:20:50,160 --> 00:20:52,280 Speaker 1: of the reports that that have come out about this, 445 00:20:52,400 --> 00:20:54,720 Speaker 1: that there there was actually this interesting interview that Eric 446 00:20:54,720 --> 00:20:56,879 Speaker 1: Schmidt did with Wait Wait, Don't tell Me, and I 447 00:20:56,920 --> 00:20:59,639 Speaker 1: remember hearing him on the program that time, and he 448 00:20:59,720 --> 00:21:02,040 Speaker 1: was blaming the motto and he said, the idea is 449 00:21:02,080 --> 00:21:04,560 Speaker 1: that we don't quite know what evil is, but if 450 00:21:04,600 --> 00:21:06,800 Speaker 1: we have a rule that says don't be evil, then 451 00:21:06,800 --> 00:21:09,560 Speaker 1: the employees can say, I think that's evil. So now, 452 00:21:09,600 --> 00:21:11,879 Speaker 1: when I showed up, I thought this was the stupidest 453 00:21:11,920 --> 00:21:14,880 Speaker 1: rule ever, because there's no book about evil except maybe 454 00:21:14,880 --> 00:21:17,679 Speaker 1: you know, the Bible or something. So what happens is 455 00:21:17,720 --> 00:21:19,760 Speaker 1: I'm sitting in this meeting and we're having a debate 456 00:21:19,800 --> 00:21:22,720 Speaker 1: about an advertising product, and one of the engineers pounds 457 00:21:22,800 --> 00:21:25,879 Speaker 1: his fists on the table and says, that's evil, And 458 00:21:25,920 --> 00:21:29,720 Speaker 1: then the whole conversation stops. Everyone goes into connections, and 459 00:21:29,720 --> 00:21:33,040 Speaker 1: eventually we stopped the project. So it did work well. 460 00:21:33,080 --> 00:21:35,240 Speaker 1: I mean, I do love that story. And I know 461 00:21:35,359 --> 00:21:37,399 Speaker 1: we can get hung up on whether Google is always 462 00:21:37,400 --> 00:21:40,080 Speaker 1: behaving ethically, but I also kind of like that it's 463 00:21:40,119 --> 00:21:42,399 Speaker 1: just this looming guideline. Yeah, and I don't want to 464 00:21:42,400 --> 00:21:44,800 Speaker 1: get too philosophical here, but we should talk a little 465 00:21:44,840 --> 00:21:47,400 Speaker 1: bit more about what evil might be and and how 466 00:21:47,440 --> 00:21:49,960 Speaker 1: Google actually makes its money. But first let's take a 467 00:21:50,040 --> 00:22:05,280 Speaker 1: quick break. Okay, Well, so give it to me straight. 468 00:22:05,400 --> 00:22:09,040 Speaker 1: How evil is Google? Like? Are they lex core people? 469 00:22:09,200 --> 00:22:11,600 Speaker 1: Are are they more like that company from Alien that's 470 00:22:11,640 --> 00:22:14,720 Speaker 1: like constantly getting its employees killed by Alien? So those 471 00:22:14,720 --> 00:22:17,679 Speaker 1: are my two options there. I'm not so sure on 472 00:22:17,720 --> 00:22:19,960 Speaker 1: that one. Now. Recently, there's been a bit of a 473 00:22:20,040 --> 00:22:23,639 Speaker 1: love hate relationship between Google and the general public, and 474 00:22:23,680 --> 00:22:25,679 Speaker 1: I think about all the half hearted jokes you hear 475 00:22:25,720 --> 00:22:28,560 Speaker 1: about Google and them taking over the world, or the 476 00:22:28,560 --> 00:22:30,439 Speaker 1: way we assume and kind of accept that the company 477 00:22:30,480 --> 00:22:33,159 Speaker 1: is keeping tabs on what we do online and probably 478 00:22:33,200 --> 00:22:35,919 Speaker 1: knows everything there is to know about us. You know, 479 00:22:35,960 --> 00:22:37,880 Speaker 1: we we we did an episode I guess a couple 480 00:22:37,960 --> 00:22:40,800 Speaker 1: of months ago about how much the Internet knows about us, 481 00:22:40,800 --> 00:22:43,199 Speaker 1: and some of that was a little bit troubling, I 482 00:22:43,240 --> 00:22:45,040 Speaker 1: have to admit. And you know, the truth is that 483 00:22:45,040 --> 00:22:47,399 Speaker 1: folks are right to be somewhat wary of any company 484 00:22:47,400 --> 00:22:49,399 Speaker 1: that gathers data on you and then uses it to 485 00:22:49,440 --> 00:22:52,440 Speaker 1: turn a profit, right, which is something Google definitely does, 486 00:22:52,520 --> 00:22:55,680 Speaker 1: but you know, it's not alone. Movie passes model is 487 00:22:55,720 --> 00:22:58,360 Speaker 1: also based on this, and everyone's tracking our data now, 488 00:22:58,520 --> 00:23:01,560 Speaker 1: and I do think those people are at least dimly 489 00:23:01,600 --> 00:23:04,200 Speaker 1: aware that Google keeps track of where you are and 490 00:23:04,560 --> 00:23:06,639 Speaker 1: what you use its services for and and then it 491 00:23:06,760 --> 00:23:09,800 Speaker 1: uses that info to generate targeted ads. But what people 492 00:23:09,880 --> 00:23:12,159 Speaker 1: might not know is that this kind of advertising is 493 00:23:12,200 --> 00:23:15,040 Speaker 1: actually the most profitable part of the whole company. Yeah, 494 00:23:15,119 --> 00:23:17,600 Speaker 1: and I feel like that's kind of an open secret, though, 495 00:23:17,600 --> 00:23:19,119 Speaker 1: don't you. I mean, if you really stop to think 496 00:23:19,160 --> 00:23:22,160 Speaker 1: about it, all of Google services don't cost anything. You've 497 00:23:22,160 --> 00:23:23,960 Speaker 1: got the search engine and the web brows or the 498 00:23:24,000 --> 00:23:27,040 Speaker 1: email service, all the various apps. But you know, the 499 00:23:27,040 --> 00:23:29,639 Speaker 1: old saying goes, there's no such thing as a free lunch. 500 00:23:29,720 --> 00:23:32,439 Speaker 1: And you know, in Google's case, the unspoken cost, I 501 00:23:32,440 --> 00:23:35,560 Speaker 1: guess is our privacy. Yeah, but which is really weird 502 00:23:35,560 --> 00:23:37,600 Speaker 1: to think about, because like then you can kind of 503 00:23:37,600 --> 00:23:40,359 Speaker 1: make the case that we're actually the product that Google 504 00:23:40,400 --> 00:23:43,120 Speaker 1: is selling to its real customers, which you know, from 505 00:23:43,160 --> 00:23:45,919 Speaker 1: that point of view, all that handy free services that 506 00:23:45,960 --> 00:23:48,760 Speaker 1: they offer are just really incentives to get us on 507 00:23:48,800 --> 00:23:51,080 Speaker 1: board with being sold. Yeah. Well, why don't we talk 508 00:23:51,080 --> 00:23:53,720 Speaker 1: a little bit about when Google got into the ad game, 509 00:23:53,760 --> 00:23:55,200 Speaker 1: and I mean, I would have to think that was 510 00:23:55,280 --> 00:23:58,359 Speaker 1: a huge turning point for the company. It was, Yeah, 511 00:23:58,520 --> 00:24:01,280 Speaker 1: because for the first three years that are incorporated, Google 512 00:24:01,359 --> 00:24:04,240 Speaker 1: really wasn't making much money, you know, despite having the 513 00:24:04,240 --> 00:24:06,960 Speaker 1: best search engine in town. But that all changed in 514 00:24:07,040 --> 00:24:10,480 Speaker 1: two thousand when Google launched AdWords. So this was the 515 00:24:10,520 --> 00:24:13,399 Speaker 1: company's first venture beyond its search engine. It was an 516 00:24:13,400 --> 00:24:17,480 Speaker 1: automated paper click ad auction platform, and with Google's ability 517 00:24:17,520 --> 00:24:20,600 Speaker 1: to tailor the ads sold to specific users based on 518 00:24:20,640 --> 00:24:23,240 Speaker 1: their search preferences, the company was able to corner the 519 00:24:23,280 --> 00:24:26,000 Speaker 1: market and digital advertising for what's coming up on I 520 00:24:26,040 --> 00:24:28,879 Speaker 1: guess two decades now plus you know, all that income 521 00:24:28,920 --> 00:24:32,760 Speaker 1: in cash allowed Google to invest in new services like Gmail, Blogger, 522 00:24:32,960 --> 00:24:36,400 Speaker 1: Google Maps, YouTube, and in turn, each of these services 523 00:24:36,400 --> 00:24:39,440 Speaker 1: provided its own new stream of ad driven revenue. Well, 524 00:24:39,440 --> 00:24:42,440 Speaker 1: it's obviously really smart. And you said the AdWords platform 525 00:24:42,480 --> 00:24:44,840 Speaker 1: that works with all these services. I mean, that's where 526 00:24:44,880 --> 00:24:47,600 Speaker 1: Google's profits really come from. So how much are we 527 00:24:47,640 --> 00:24:51,760 Speaker 1: talking about? Exactly? So in two thousand seventeen, AdWords accounted 528 00:24:51,800 --> 00:24:55,400 Speaker 1: for ninety five point four billion dollars of Google's total 529 00:24:55,440 --> 00:24:58,600 Speaker 1: revenue that year, of their total revenue, which was what 530 00:24:58,960 --> 00:25:01,760 Speaker 1: about a d billion? Good lord, I mean that's the 531 00:25:01,760 --> 00:25:04,840 Speaker 1: difference of around fifteen billion dollars between those two. And 532 00:25:05,240 --> 00:25:07,520 Speaker 1: we say a lot of things are insane on the show, 533 00:25:08,080 --> 00:25:12,680 Speaker 1: but drawing basically a hundred billion dollars from advertising a loan, Yeah, 534 00:25:12,720 --> 00:25:15,240 Speaker 1: that's insane. That counts more insane than cats, right, yeah, 535 00:25:15,280 --> 00:25:19,280 Speaker 1: I guess, I mean I don't know. Well, so you 536 00:25:19,280 --> 00:25:21,320 Speaker 1: know what else is crazy? Is that? Uh? That Eric 537 00:25:21,320 --> 00:25:23,840 Speaker 1: Schmigay who quitted earlier, the CEO who thought don't be 538 00:25:23,840 --> 00:25:26,520 Speaker 1: Evil was a stupid idea. He was a big supporter 539 00:25:26,560 --> 00:25:29,119 Speaker 1: of Google going all in on ad driven revenue and 540 00:25:29,359 --> 00:25:32,600 Speaker 1: pretty much all of Google's services, the ones we mentioned 541 00:25:32,680 --> 00:25:35,520 Speaker 1: are are came about on his watch. So he stepped 542 00:25:35,520 --> 00:25:37,679 Speaker 1: down from his exact role last December and favor of 543 00:25:37,680 --> 00:25:40,760 Speaker 1: a more advisory role with the company. But after steering 544 00:25:40,760 --> 00:25:43,600 Speaker 1: the ship for the last seventeen years, his fingerprints and 545 00:25:43,640 --> 00:25:46,760 Speaker 1: business eat those are all over Google. Well, there's definitely 546 00:25:46,800 --> 00:25:48,639 Speaker 1: a lot to talk about on the privacy front. But 547 00:25:48,680 --> 00:25:50,480 Speaker 1: one of the other things that that many people might 548 00:25:50,600 --> 00:25:52,879 Speaker 1: find a little bit troubling, and it's something that people 549 00:25:52,880 --> 00:25:55,000 Speaker 1: have been talking about in terms of, you know, what 550 00:25:55,040 --> 00:25:57,520 Speaker 1: the Internet knows about us for years now, is that 551 00:25:57,760 --> 00:26:02,200 Speaker 1: by providing instant, unfettered act says to information about literally everything, 552 00:26:02,520 --> 00:26:05,160 Speaker 1: the Internet is actually retraining our brains to act more 553 00:26:05,280 --> 00:26:08,439 Speaker 1: like high speed data processors and less like tools for 554 00:26:09,080 --> 00:26:12,919 Speaker 1: careful contemplation. And I mean, i'd say that's a valid 555 00:26:13,000 --> 00:26:15,879 Speaker 1: concern for sure, but maybe it's not fair to pin 556 00:26:16,040 --> 00:26:19,640 Speaker 1: something like that entirely on Google. Like everything in moderation, right, 557 00:26:19,720 --> 00:26:22,119 Speaker 1: And if we take advantage of these services to the 558 00:26:22,119 --> 00:26:24,879 Speaker 1: point that we impair our own thinking or decrease our 559 00:26:24,880 --> 00:26:28,160 Speaker 1: attention spans, that's kind of on us, you know, sure, 560 00:26:28,160 --> 00:26:30,960 Speaker 1: But to an extent, I mean, there's also reason to 561 00:26:31,000 --> 00:26:33,480 Speaker 1: think that companies like Google and Facebook are are maybe 562 00:26:33,480 --> 00:26:36,919 Speaker 1: exacerbating the problem on purpose. I actually came across this 563 00:26:36,960 --> 00:26:39,920 Speaker 1: old Atlantic article from two thousand eight, and it pointed 564 00:26:39,920 --> 00:26:42,760 Speaker 1: out just how much this brain reprogramming is really in 565 00:26:42,800 --> 00:26:45,160 Speaker 1: the best interest of Google and all these other data 566 00:26:45,200 --> 00:26:48,679 Speaker 1: farming companies. The author is Nicholas car and he writes, quote, 567 00:26:48,840 --> 00:26:51,520 Speaker 1: the faster we surf across the web, the more links 568 00:26:51,600 --> 00:26:54,320 Speaker 1: we click and pages we view, the more opportunities Google 569 00:26:54,320 --> 00:26:57,199 Speaker 1: and other companies gained to collect information about us and 570 00:26:57,240 --> 00:27:00,359 Speaker 1: to feed us advertisements. Most of the proprietor RUMs of 571 00:27:00,359 --> 00:27:03,399 Speaker 1: the commercial Internet have a financial steak in collecting the 572 00:27:03,400 --> 00:27:05,760 Speaker 1: crumbs of data we leave behind as we flip from 573 00:27:05,800 --> 00:27:09,280 Speaker 1: link to link. The more crumbs, the better. The last 574 00:27:09,280 --> 00:27:12,320 Speaker 1: thing these companies want is to encourage leisurely reading or 575 00:27:12,440 --> 00:27:16,080 Speaker 1: slow concentrated thought. It's in their economic interest to drive 576 00:27:16,160 --> 00:27:19,480 Speaker 1: us to distraction, That's what he said. But so Silicon 577 00:27:19,560 --> 00:27:21,560 Speaker 1: Valley companies are going to say things like, you know, 578 00:27:21,640 --> 00:27:24,320 Speaker 1: do no evil, or have these grand mission statements about 579 00:27:24,320 --> 00:27:27,120 Speaker 1: bettering the world. It does only seem fair to hold 580 00:27:27,160 --> 00:27:28,760 Speaker 1: the company's feet to the fire a little bit when 581 00:27:28,760 --> 00:27:31,120 Speaker 1: it fails to live up to these kinds of statements. 582 00:27:31,119 --> 00:27:33,320 Speaker 1: And you know, I'd say that encouraging that kind of 583 00:27:33,359 --> 00:27:35,960 Speaker 1: thoughtless thinking if it makes any sense, you know, for 584 00:27:36,000 --> 00:27:38,600 Speaker 1: the sake of profit, kind of qualifies as one of 585 00:27:38,600 --> 00:27:41,800 Speaker 1: those cases. Well, I mean that that is very smart. 586 00:27:41,840 --> 00:27:44,240 Speaker 1: And on that note, I want to mention this is 587 00:27:44,280 --> 00:27:46,960 Speaker 1: a way to avoid bias. All of the research for 588 00:27:47,000 --> 00:27:51,359 Speaker 1: today's program was conducted exclusively through bing. There's no ways true. 589 00:27:51,760 --> 00:27:54,879 Speaker 1: It definitely wasn't true. That's not true. But you know 590 00:27:54,920 --> 00:27:58,680 Speaker 1: what true every single fact in this fact. So let's 591 00:27:58,680 --> 00:28:09,240 Speaker 1: get started, all right. We'll to put a bit of 592 00:28:09,280 --> 00:28:12,520 Speaker 1: perspective around just how much traffic is driven by Google. 593 00:28:12,840 --> 00:28:15,520 Speaker 1: Consider the fact that back in August of two thout, 594 00:28:16,160 --> 00:28:19,119 Speaker 1: Google had a power outage for all of about five minutes. 595 00:28:19,600 --> 00:28:22,520 Speaker 1: But during that time, everything from its search engine, to 596 00:28:22,720 --> 00:28:26,399 Speaker 1: YouTube to Google Drive, we're all down. And during that 597 00:28:26,480 --> 00:28:31,800 Speaker 1: five minute period, web traffic around the world plummeted. Bye. 598 00:28:32,560 --> 00:28:36,400 Speaker 1: So earlier we talked about the whole constructed languages crossroad 599 00:28:36,400 --> 00:28:38,560 Speaker 1: puzzle that we made. So do you know that you 600 00:28:38,600 --> 00:28:41,680 Speaker 1: can actually select Swedish chef as a preferred language in Google? 601 00:28:42,040 --> 00:28:45,080 Speaker 1: Did not? It's called work, work, work, and you can 602 00:28:45,080 --> 00:28:48,280 Speaker 1: also choose cling on take Latin Pirate and Elmer Fud, 603 00:28:48,320 --> 00:28:51,520 Speaker 1: among others. I'm really hoping our college friend John is 604 00:28:51,520 --> 00:28:54,120 Speaker 1: not listening today's episode since he always liked to talk 605 00:28:54,160 --> 00:28:57,880 Speaker 1: in a work work work, all right, Well, when we visited, 606 00:28:57,920 --> 00:28:59,880 Speaker 1: I know, we were blown away by all the perks 607 00:28:59,880 --> 00:29:02,320 Speaker 1: and the free food and everything else at Google, But 608 00:29:02,560 --> 00:29:04,720 Speaker 1: you know, reading about some of the employee benefits is 609 00:29:04,720 --> 00:29:08,960 Speaker 1: pretty interesting too. Apparently they have these unbelievable death benefits. 610 00:29:08,960 --> 00:29:10,840 Speaker 1: I know that's kind of a funny phrase to say, 611 00:29:10,840 --> 00:29:13,880 Speaker 1: but if an employee dies, their partner actually gets half 612 00:29:13,920 --> 00:29:17,200 Speaker 1: of the deceased employee salary for a decade, and the 613 00:29:17,320 --> 00:29:19,680 Speaker 1: kids of that employee get a thousand dollars a month 614 00:29:19,760 --> 00:29:22,840 Speaker 1: until they're nineteen, or actually until twenty three if they're 615 00:29:22,840 --> 00:29:26,040 Speaker 1: in school full time. And that's really stunning. So have 616 00:29:26,120 --> 00:29:28,600 Speaker 1: you heard about this flying taxi startup that Larry Pages 617 00:29:28,600 --> 00:29:31,920 Speaker 1: behind the company is called Kittie Hawk, and they recently 618 00:29:31,960 --> 00:29:34,560 Speaker 1: had to reveal for this thing. It's an autonomous air 619 00:29:34,600 --> 00:29:37,520 Speaker 1: taxi named Cora. Two people can actually ride in it. 620 00:29:37,520 --> 00:29:40,040 Speaker 1: It takes off with these rotors that are on the wings, 621 00:29:40,120 --> 00:29:42,400 Speaker 1: you know, like a helicopter, but then it just flies 622 00:29:42,440 --> 00:29:45,160 Speaker 1: like a plane. So it doesn't really need a runway. 623 00:29:45,240 --> 00:29:47,520 Speaker 1: They've been doing some secret test flights in New Zealand, 624 00:29:47,720 --> 00:29:49,600 Speaker 1: where we like to do all our testing for our 625 00:29:49,600 --> 00:29:52,280 Speaker 1: secret project. I don't want people to know that, and 626 00:29:52,360 --> 00:29:54,320 Speaker 1: in fact that they've been working with the government there 627 00:29:54,320 --> 00:29:56,320 Speaker 1: in New Zealand to get a whole fleet to these 628 00:29:56,320 --> 00:29:59,360 Speaker 1: ready to release. So how far and and and how 629 00:29:59,440 --> 00:30:02,280 Speaker 1: fast can these things go? They can apparently travel for 630 00:30:02,320 --> 00:30:04,600 Speaker 1: a little over sixty miles at about a hundred ten 631 00:30:04,600 --> 00:30:08,200 Speaker 1: miles per hour. They travel at about three thousand feet elevation, 632 00:30:08,320 --> 00:30:11,000 Speaker 1: and I'll definitely be interested to see what happens with these. 633 00:30:11,280 --> 00:30:12,920 Speaker 1: I might give it a little bit of time before 634 00:30:12,960 --> 00:30:14,440 Speaker 1: I happened. I think I'm gonna give it more than 635 00:30:14,480 --> 00:30:17,440 Speaker 1: a little bit of time. But it is really interesting alright. Well, 636 00:30:17,480 --> 00:30:19,360 Speaker 1: on a lighter note, I always look forward to seeing 637 00:30:19,400 --> 00:30:21,600 Speaker 1: what Google is up to on April Fool's Day. Their 638 00:30:21,600 --> 00:30:24,040 Speaker 1: pranks are always pretty funny, you know, from the Google 639 00:30:24,160 --> 00:30:27,760 Speaker 1: UK and Google Australia sites. Rick rolling every featured video 640 00:30:27,800 --> 00:30:30,480 Speaker 1: back in two thousand and that's a real commitments giving 641 00:30:30,520 --> 00:30:33,800 Speaker 1: us some serious ad revenue there to the Auto Awesome 642 00:30:33,840 --> 00:30:36,680 Speaker 1: for Resumes project, where you could take a boring resume, 643 00:30:37,080 --> 00:30:39,160 Speaker 1: and it would add emojis and animation, you know, to 644 00:30:39,200 --> 00:30:41,080 Speaker 1: make it more exciting. I wonder if anybody used it 645 00:30:41,080 --> 00:30:43,640 Speaker 1: and then submitted those resumes. But I think some of 646 00:30:43,680 --> 00:30:46,719 Speaker 1: my favorites are the fake food and drink products they've launched, 647 00:30:46,760 --> 00:30:49,360 Speaker 1: Like they had one called Google Gulp, which came in 648 00:30:49,400 --> 00:30:53,280 Speaker 1: these delicious flavors like sugar free, radical and Beta charity 649 00:30:53,400 --> 00:30:56,600 Speaker 1: and and it was quote designed to maximize your surfing 650 00:30:56,640 --> 00:31:00,760 Speaker 1: efficiency by making you more intelligent and less thirsty. Then 651 00:31:00,760 --> 00:31:03,320 Speaker 1: there was also the Google Fiber Bar, which they announced 652 00:31:03,320 --> 00:31:06,800 Speaker 1: by saying, as we started thinking about fiber, we realized 653 00:31:06,840 --> 00:31:08,960 Speaker 1: that there hadn't been real innovation in the world of 654 00:31:08,960 --> 00:31:11,360 Speaker 1: fiber in a very long time. It's kind of a 655 00:31:11,360 --> 00:31:15,160 Speaker 1: shame these things weren't real, I know. So I recently 656 00:31:15,200 --> 00:31:17,320 Speaker 1: read a story that the details of the acquisition of 657 00:31:17,360 --> 00:31:21,080 Speaker 1: YouTube were negotiated at a Denny's over a delicious safotazer 658 00:31:21,120 --> 00:31:25,520 Speaker 1: of Mozzarelli's at it. Yeah, so the YouTube co founder, 659 00:31:25,520 --> 00:31:28,880 Speaker 1: Stephen Chen said, quote, we didn't want to meet at offices, 660 00:31:28,960 --> 00:31:30,920 Speaker 1: so we were like, where's the place none of us 661 00:31:30,960 --> 00:31:33,640 Speaker 1: would go to. I'm guessing the one point six five 662 00:31:33,680 --> 00:31:36,600 Speaker 1: billion dollar deal was probably the biggest deal ever negotiated 663 00:31:36,600 --> 00:31:39,320 Speaker 1: at a Denny's. But you know what's weird. At that 664 00:31:39,400 --> 00:31:42,080 Speaker 1: time that amount of money seemed huge. I mean, I 665 00:31:42,080 --> 00:31:45,160 Speaker 1: guess it still sounds huge, but we're talking for YouTube. Yeah, 666 00:31:45,200 --> 00:31:46,760 Speaker 1: that is kind of crazy. You would think it would 667 00:31:46,760 --> 00:31:48,840 Speaker 1: have been sold for much much more. But you know, 668 00:31:48,880 --> 00:31:50,800 Speaker 1: the only thing that would have made an even better 669 00:31:50,880 --> 00:31:53,280 Speaker 1: fact would benefit deal had been negotiated over a plate 670 00:31:53,280 --> 00:31:56,200 Speaker 1: of moons over my family, don't you think? Definitely? But 671 00:31:56,320 --> 00:31:59,560 Speaker 1: the fact that you've successfully gotten meat or reference moons 672 00:31:59,640 --> 00:32:02,160 Speaker 1: over my hammy, Mango, I think it means I've got 673 00:32:02,160 --> 00:32:05,200 Speaker 1: to give you this fact offico congratulation. Thank you so much. 674 00:32:05,360 --> 00:32:07,680 Speaker 1: Thank you guys for listening. If we've forgotten any great 675 00:32:07,720 --> 00:32:10,400 Speaker 1: facts about Google or the Internet in general, we'd love 676 00:32:10,440 --> 00:32:12,360 Speaker 1: to hear from you. As always, you can email us 677 00:32:12,400 --> 00:32:15,000 Speaker 1: part time genius at how stuff works dot com or 678 00:32:15,040 --> 00:32:17,960 Speaker 1: call us on our seven fact hot line one eight 679 00:32:18,000 --> 00:32:21,400 Speaker 1: four four pt Genius Health. Can they reach us, Mango, Well, 680 00:32:22,200 --> 00:32:24,880 Speaker 1: they can reach us through email, Twitter, all all sorts 681 00:32:24,880 --> 00:32:27,520 Speaker 1: of ways. But there's one more fact I wanted to mention. Uh, 682 00:32:27,720 --> 00:32:31,360 Speaker 1: today's Gabe's birthday. Oh, happy birthday, Game, Happy birthday Gave 683 00:32:31,680 --> 00:32:33,360 Speaker 1: and if you want to send Gave a message, just 684 00:32:33,440 --> 00:32:36,040 Speaker 1: put on our Facebook and we'll a forward it to him. Awesome. Well, 685 00:32:36,040 --> 00:32:52,640 Speaker 1: thank you guys for listening. Thanks again for listening. Part 686 00:32:52,640 --> 00:32:54,640 Speaker 1: Time Genius is a production of how stuff works and 687 00:32:54,680 --> 00:32:57,320 Speaker 1: wouldn't be possible without several brilliant people who do the 688 00:32:57,320 --> 00:33:00,760 Speaker 1: important things we couldn't even begin to understand. Christa McNeil 689 00:33:00,840 --> 00:33:03,160 Speaker 1: does the editing thing. Noel Brown made the theme song 690 00:33:03,200 --> 00:33:06,120 Speaker 1: and does the mixy mixy sound thing. Jerry Rowland does 691 00:33:06,120 --> 00:33:09,160 Speaker 1: the exact producer thing. Gave Lousier is our lead researcher, 692 00:33:09,200 --> 00:33:12,200 Speaker 1: with support from the Research Army including Austin Thompson, Nolan 693 00:33:12,240 --> 00:33:14,520 Speaker 1: Brown and Lucas Adams and Eves Jeff Cook gets the 694 00:33:14,520 --> 00:33:16,680 Speaker 1: show to your ears. Good job, Eves. If you like 695 00:33:16,760 --> 00:33:18,600 Speaker 1: what you heard, we hope you'll subscribe, And if you 696 00:33:18,640 --> 00:33:20,640 Speaker 1: really really like what you've heard, maybe you could leave 697 00:33:20,640 --> 00:33:22,720 Speaker 1: a good review for us. Do we do? We forget 698 00:33:22,800 --> 00:33:24,000 Speaker 1: Jason Jason who