1 00:00:00,879 --> 00:00:04,951 Joseph Keller used to jog around the Stanford campus, 2 00:00:04,975 --> 00:00:09,692 and he was struck by all the women jogging there as well. 3 00:00:09,716 --> 00:00:13,305 Why did their ponytails swing from side to side like that? 4 00:00:13,867 --> 00:00:17,005 Being a mathematician, he set out to understand why. 5 00:00:17,029 --> 00:00:18,180 (Laughter) 6 00:00:18,204 --> 00:00:20,510 Professor Keller was curious about many things: 7 00:00:20,534 --> 00:00:22,501 why teapots dribble 8 00:00:22,525 --> 00:00:24,355 or how earthworms wriggle. 9 00:00:24,847 --> 00:00:27,895 Until a few months ago, I hadn't heard of Joseph Keller. 10 00:00:28,581 --> 00:00:31,433 I read about him in the New York Times, 11 00:00:31,457 --> 00:00:32,889 in the obituaries. 12 00:00:32,913 --> 00:00:36,685 The Times had half a page of editorial dedicated to him, 13 00:00:36,709 --> 00:00:40,631 which you can imagine is premium space for a newspaper of their stature. 14 00:00:41,368 --> 00:00:43,710 I read the obituaries almost every day. 15 00:00:44,690 --> 00:00:47,712 My wife understandably thinks I'm rather morbid 16 00:00:47,736 --> 00:00:52,136 to begin my day with scrambled eggs and a "Let's see who died today." 17 00:00:52,160 --> 00:00:53,310 (Laughter) 18 00:00:54,025 --> 00:00:55,317 But if you think about it, 19 00:00:55,341 --> 00:00:58,754 the front page of the newspaper is usually bad news, 20 00:00:58,778 --> 00:01:00,753 and [cues] man's failures. 21 00:01:00,777 --> 00:01:03,443 An instance where bad news [cues] accomplishment 22 00:01:03,467 --> 00:01:06,702 is at the end of the paper, in the obituaries. 23 00:01:07,405 --> 00:01:08,769 In my day job, 24 00:01:08,793 --> 00:01:11,269 I run a company that focuses on future insights 25 00:01:11,293 --> 00:01:13,713 that marketers can derive from past data -- 26 00:01:13,737 --> 00:01:16,681 a kind of rearview-mirror analysis. 27 00:01:17,092 --> 00:01:18,247 And we began to think: 28 00:01:18,271 --> 00:01:23,389 What if we held a rearview mirror to obituaries from The New York Times? 29 00:01:24,514 --> 00:01:27,982 Were there lessons on how you could get your obituary featured -- 30 00:01:28,006 --> 00:01:29,983 even if you aren't around to enjoy it? 31 00:01:30,007 --> 00:01:31,491 (Laughter) 32 00:01:31,515 --> 00:01:34,143 Would this go better with scrambled eggs? 33 00:01:34,167 --> 00:01:35,317 (Laughter) 34 00:01:36,163 --> 00:01:39,161 And so, we looked at the data. 35 00:01:39,869 --> 00:01:44,363 2,000 editorial, non-paid obituaries 36 00:01:44,387 --> 00:01:48,029 over a 20-month period between 2015 and 2016. 37 00:01:48,053 --> 00:01:52,877 What did these 2,000 deaths -- rather, lives -- teach us? 38 00:01:52,901 --> 00:01:54,934 Well, first we looked at words. 39 00:01:54,958 --> 00:01:56,719 This here is an obituary headline. 40 00:01:56,743 --> 00:01:59,039 This one is of the amazing Lee Kuan Yew. 41 00:01:59,063 --> 00:02:01,585 If you remove the beginning and the end, 42 00:02:01,609 --> 00:02:04,943 you're left with a beautifully worded descriptor 43 00:02:04,967 --> 00:02:09,642 that tries to, in just a few words, capture an achievement or a lifetime. 44 00:02:09,666 --> 00:02:11,827 Just looking at these is fascinating. 45 00:02:12,301 --> 00:02:15,596 Here are a few famous ones, people who died in the last two years. 46 00:02:15,620 --> 00:02:16,939 Try and guess who they are. 47 00:02:16,963 --> 00:02:18,403 [An Artist who Defied Genre] 48 00:02:18,427 --> 00:02:19,612 That's Prince. 49 00:02:20,497 --> 00:02:22,334 [Titan of Boxing and the 20th Century] 50 00:02:22,358 --> 00:02:23,518 Oh, yes. 51 00:02:23,542 --> 00:02:24,766 [Muhammed Ali] 52 00:02:24,790 --> 00:02:26,336 [Groundbreaking Architect] 53 00:02:26,360 --> 00:02:27,611 Zaha Hadid. 54 00:02:28,843 --> 00:02:30,591 So we took these descriptors 55 00:02:30,615 --> 00:02:33,139 and did what's called natural language processing, 56 00:02:33,163 --> 00:02:34,934 where you feed these into a program, 57 00:02:34,958 --> 00:02:36,823 it throws out the superfluous words -- 58 00:02:36,847 --> 00:02:41,070 "the," "and," -- the kind of words you can mime easily in "Charades," -- 59 00:02:41,094 --> 00:02:43,287 and leaves you with the most significant words. 60 00:02:43,311 --> 00:02:45,132 And we did it not just for these four, 61 00:02:45,156 --> 00:02:47,675 but for all 2,000 descriptors. 62 00:02:47,699 --> 00:02:49,442 And this is what it looks like. 63 00:02:51,004 --> 00:02:55,831 Film, theatre, music, dance and of course, art, are huge. 64 00:02:56,485 --> 00:02:58,431 Over 40 percent. 65 00:02:58,455 --> 00:03:00,983 You have to wonder why in so many societies 66 00:03:01,007 --> 00:03:05,442 we insist that our kids pursue engineering or medicine or business or law 67 00:03:05,466 --> 00:03:07,053 to be construed as successful. 68 00:03:07,871 --> 00:03:09,564 And while we're talking profession, 69 00:03:09,588 --> 00:03:10,739 let's look at age -- 70 00:03:10,763 --> 00:03:13,273 the average age at which they achieved things. 71 00:03:13,297 --> 00:03:15,143 That number is 37. 72 00:03:16,274 --> 00:03:19,930 What that means is, you've got to wait 37 years ... 73 00:03:19,954 --> 00:03:23,349 before your first significant achievement that you're remembered for -- 74 00:03:23,373 --> 00:03:24,524 on average -- 75 00:03:24,548 --> 00:03:27,026 44 years later, when you die at the age of 81 -- 76 00:03:27,050 --> 00:03:28,218 on average. 77 00:03:28,242 --> 00:03:29,243 (Laughter) 78 00:03:29,267 --> 00:03:30,951 Talk about having to be patient. 79 00:03:30,975 --> 00:03:32,032 (Laughter) 80 00:03:32,056 --> 00:03:34,145 Of course, it varies by profession. 81 00:03:34,566 --> 00:03:35,759 If you're a sports star, 82 00:03:35,783 --> 00:03:37,910 you'll probably hit your stride in your 20s. 83 00:03:37,934 --> 00:03:40,579 And if you're in your 40s like me, 84 00:03:40,603 --> 00:03:42,594 you can join the fun world of politics. 85 00:03:42,618 --> 00:03:43,674 (Laughter) 86 00:03:43,698 --> 00:03:47,613 Politicians do their first and sometimes only commendable act in their mid-40s. 87 00:03:47,637 --> 00:03:48,894 (Laughter) 88 00:03:48,918 --> 00:03:50,855 If you're wondering what "others" are, 89 00:03:50,879 --> 00:03:52,355 here are some examples. 90 00:03:52,821 --> 00:03:54,937 Isn't it fascinating, the things people do 91 00:03:54,961 --> 00:03:56,843 and the things they're remembered for? 92 00:03:56,867 --> 00:03:58,619 (Laughter) 93 00:04:00,136 --> 00:04:01,980 Our curiosity was in overdrive, 94 00:04:02,004 --> 00:04:05,792 and we desired to analyze more than just a descriptor. 95 00:04:06,998 --> 00:04:11,944 So, we ingested the entire first paragraph of all 2,000 obituaries, 96 00:04:11,968 --> 00:04:14,742 but we did this separately for two groups of people: 97 00:04:14,766 --> 00:04:17,543 people that are famous and people that are not famous. 98 00:04:17,567 --> 00:04:20,256 Famous people -- Prince, Ali, Zaha Hadid -- 99 00:04:20,280 --> 00:04:24,515 people who are not famous are people like Jocelyn Cooper, 100 00:04:24,539 --> 00:04:25,693 Reverend Curry, 101 00:04:25,717 --> 00:04:26,886 or Lorna Kelly. 102 00:04:26,910 --> 00:04:30,098 I'm willing to bet you haven't heard of most of their names. 103 00:04:30,122 --> 00:04:33,934 Amazing people, fantastic achievements, but they're not famous. 104 00:04:34,720 --> 00:04:37,508 So what if we analyze these two groups separately -- 105 00:04:37,532 --> 00:04:39,057 the famous and the non-famous? 106 00:04:39,081 --> 00:04:40,500 What might that tell us? 107 00:04:40,524 --> 00:04:41,764 Take a look. 108 00:04:44,556 --> 00:04:46,025 Two things leap out at me. 109 00:04:46,569 --> 00:04:47,739 First: 110 00:04:48,106 --> 00:04:49,304 "John." 111 00:04:49,328 --> 00:04:50,628 (Laughter) 112 00:04:51,914 --> 00:04:55,302 Anyone here named John should thank your parents -- 113 00:04:55,326 --> 00:04:56,655 (Laughter) 114 00:04:56,679 --> 00:04:59,761 and remind your kids to cut out your obituary when you're gone. 115 00:05:01,061 --> 00:05:02,417 And second: 116 00:05:03,849 --> 00:05:05,003 "help." 117 00:05:06,524 --> 00:05:09,989 The uncovered, many lessons from lives well-led, 118 00:05:10,013 --> 00:05:12,849 and what those people immortalized in print could teach us. 119 00:05:12,873 --> 00:05:17,611 The exercise was a fascinating testament to the kaleidoscope that is life, 120 00:05:17,635 --> 00:05:20,350 and even more fascinating 121 00:05:20,374 --> 00:05:23,442 was the fact that the overwhelming majority of obituaries 122 00:05:23,466 --> 00:05:26,464 featured people famous and non-famous, 123 00:05:26,488 --> 00:05:28,921 who did seemingly extraordinary things. 124 00:05:29,574 --> 00:05:32,684 They made a positive dent in the fabric of life. 125 00:05:32,708 --> 00:05:33,945 They helped. 126 00:05:34,772 --> 00:05:37,363 So ask yourselves as you go back to your daily lives: 127 00:05:37,387 --> 00:05:40,307 How am I using my talents to help society? 128 00:05:40,331 --> 00:05:43,304 Because the most powerful lesson here is, 129 00:05:43,328 --> 00:05:47,664 if more people lived their lives trying to be famous in death, 130 00:05:47,688 --> 00:05:50,293 the world would be a much better place. 131 00:05:51,062 --> 00:05:52,231 Thank you. 132 00:05:52,255 --> 00:05:55,103 (Applause)