1 00:00:00,515 --> 00:00:02,976 I think I was supposed to talk about my new book, 2 00:00:03,000 --> 00:00:04,879 which is called "Blink," 3 00:00:04,903 --> 00:00:07,647 and it's about snap judgments and first impressions. 4 00:00:08,000 --> 00:00:11,791 And it comes out in January, and I hope you all buy it in triplicate. 5 00:00:11,815 --> 00:00:13,289 (Laughter) 6 00:00:13,313 --> 00:00:14,976 But I was thinking about this, 7 00:00:15,000 --> 00:00:19,210 and I realized that although my new book makes me happy, 8 00:00:19,234 --> 00:00:21,870 and I think would make my mother happy, 9 00:00:21,894 --> 00:00:24,352 it's not really about happiness. 10 00:00:24,376 --> 00:00:27,976 So I decided instead, I would talk about someone 11 00:00:28,000 --> 00:00:31,679 who I think has done as much to make Americans happy 12 00:00:31,703 --> 00:00:34,976 as perhaps anyone over the last 20 years, 13 00:00:35,000 --> 00:00:37,976 a man who is a great personal hero of mine: 14 00:00:38,000 --> 00:00:40,976 someone by the name of Howard Moskowitz, 15 00:00:41,000 --> 00:00:44,100 who is most famous for reinventing spaghetti sauce. 16 00:00:45,323 --> 00:00:49,976 Howard's about this high, and he's round, 17 00:00:50,000 --> 00:00:55,089 and he's in his 60s, and he has big huge glasses 18 00:00:55,113 --> 00:00:56,906 and thinning gray hair, 19 00:00:56,930 --> 00:01:00,754 and he has a kind of wonderful exuberance and vitality, 20 00:01:00,778 --> 00:01:03,786 and he has a parrot, and he loves the opera, 21 00:01:03,810 --> 00:01:07,901 and he's a great aficionado of medieval history. 22 00:01:08,203 --> 00:01:10,807 And by profession, he's a psychophysicist. 23 00:01:10,831 --> 00:01:15,468 Now, I should tell you that I have no idea what psychophysics is, 24 00:01:15,492 --> 00:01:17,182 although at some point in my life, 25 00:01:17,206 --> 00:01:18,652 I dated a girl for two years 26 00:01:18,676 --> 00:01:20,916 who was getting her doctorate in psychophysics. 27 00:01:20,940 --> 00:01:24,484 Which should tell you something about that relationship. 28 00:01:24,508 --> 00:01:26,805 (Laughter) 29 00:01:26,829 --> 00:01:29,976 As far as I know, psychophysics is about measuring things. 30 00:01:30,000 --> 00:01:32,631 And Howard is very interested in measuring things. 31 00:01:32,655 --> 00:01:35,028 And he graduated with his doctorate from Harvard, 32 00:01:35,052 --> 00:01:38,300 and he set up a little consulting shop in White Plains, New York. 33 00:01:39,055 --> 00:01:41,413 And one of his first clients was Pepsi. 34 00:01:41,437 --> 00:01:44,515 This is many years ago, back in the early 70s. 35 00:01:45,444 --> 00:01:47,356 And Pepsi came to Howard and they said, 36 00:01:47,380 --> 00:01:49,778 "You know, there's this new thing called aspartame, 37 00:01:49,802 --> 00:01:51,686 and we would like to make Diet Pepsi. 38 00:01:51,710 --> 00:01:53,687 We'd like you to figure out 39 00:01:53,711 --> 00:01:57,217 how much aspartame we should put in each can of Diet Pepsi 40 00:01:57,241 --> 00:01:58,998 in order to have the perfect drink." 41 00:01:59,721 --> 00:02:03,976 Now that sounds like an incredibly straightforward question to answer, 42 00:02:04,000 --> 00:02:05,477 and that's what Howard thought. 43 00:02:05,501 --> 00:02:06,802 Because Pepsi told him, 44 00:02:06,826 --> 00:02:09,509 "We're working with a band between eight and 12 percent. 45 00:02:09,533 --> 00:02:12,452 Anything below eight percent sweetness is not sweet enough; 46 00:02:12,476 --> 00:02:15,715 anything above 12 percent sweetness is too sweet. 47 00:02:15,739 --> 00:02:18,822 We want to know: what's the sweet spot between 8 and 12?" 48 00:02:19,372 --> 00:02:23,333 Now, if I gave you this problem to do, you would all say, it's very simple. 49 00:02:23,357 --> 00:02:26,976 What we do is you make up a big experimental batch of Pepsi, 50 00:02:27,000 --> 00:02:31,486 at every degree of sweetness -- eight percent, 8.1, 8.2, 8.3, 51 00:02:31,510 --> 00:02:32,791 all the way up to 12 -- 52 00:02:32,815 --> 00:02:35,304 and we try this out with thousands of people, 53 00:02:35,328 --> 00:02:37,534 and we plot the results on a curve, 54 00:02:37,558 --> 00:02:40,539 and we take the most popular concentration, right? 55 00:02:40,563 --> 00:02:41,818 Really simple. 56 00:02:41,842 --> 00:02:44,382 Howard does the experiment, and he gets the data back, 57 00:02:44,406 --> 00:02:45,747 and he plots it on a curve, 58 00:02:45,771 --> 00:02:48,635 and all of a sudden he realizes it's not a nice bell curve. 59 00:02:48,659 --> 00:02:50,613 In fact, the data doesn't make any sense. 60 00:02:50,637 --> 00:02:52,419 It's a mess. It's all over the place. 61 00:02:53,000 --> 00:02:57,613 Now, most people in that business, in the world of testing food and such, 62 00:02:57,637 --> 00:03:00,454 are not dismayed when the data comes back a mess. 63 00:03:00,478 --> 00:03:01,970 They think, "Well, you know, 64 00:03:01,994 --> 00:03:04,828 figuring out what people think about cola's not that easy." 65 00:03:04,852 --> 00:03:07,677 "You know, maybe we made an error somewhere along the way." 66 00:03:07,701 --> 00:03:09,898 "You know, let's just make an educated guess," 67 00:03:09,922 --> 00:03:12,307 and they simply point and they go for 10 percent, 68 00:03:12,331 --> 00:03:13,406 right in the middle. 69 00:03:14,000 --> 00:03:15,976 Howard is not so easily placated. 70 00:03:16,000 --> 00:03:18,912 Howard is a man of a certain degree of intellectual standards. 71 00:03:18,936 --> 00:03:20,976 And this was not good enough for him, 72 00:03:21,000 --> 00:03:23,282 and this question bedeviled him for years. 73 00:03:23,306 --> 00:03:25,976 And he would think it through and say, "What was wrong? 74 00:03:26,000 --> 00:03:29,685 Why could we not make sense of this experiment with Diet Pepsi?" 75 00:03:30,360 --> 00:03:32,976 And one day, he was sitting in a diner in White Plains, 76 00:03:33,000 --> 00:03:35,976 about to go trying to dream up some work for Nescafé. 77 00:03:36,336 --> 00:03:39,820 And suddenly, like a bolt of lightning, the answer came to him. 78 00:03:40,153 --> 00:03:42,827 And that is, that when they analyzed the Diet Pepsi data, 79 00:03:42,851 --> 00:03:44,573 they were asking the wrong question. 80 00:03:44,597 --> 00:03:46,727 They were looking for the perfect Pepsi, 81 00:03:46,751 --> 00:03:49,714 and they should have been looking for the perfect Pepsis. 82 00:03:50,814 --> 00:03:51,825 Trust me. 83 00:03:51,849 --> 00:03:53,976 This was an enormous revelation. 84 00:03:54,000 --> 00:03:57,675 This was one of the most brilliant breakthroughs in all of food science. 85 00:03:57,699 --> 00:03:59,417 Howard immediately went on the road, 86 00:03:59,441 --> 00:04:01,799 and he would go to conferences around the country, 87 00:04:01,823 --> 00:04:03,381 and he would stand up and say, 88 00:04:03,405 --> 00:04:05,468 "You had been looking for the perfect Pepsi. 89 00:04:05,492 --> 00:04:06,722 You're wrong. 90 00:04:06,746 --> 00:04:09,254 You should be looking for the perfect Pepsis." 91 00:04:09,857 --> 00:04:12,293 And people would look at him blankly and say, 92 00:04:12,317 --> 00:04:14,380 "What are you talking about? Craziness." 93 00:04:14,404 --> 00:04:15,976 And they would say, "Move! Next!" 94 00:04:16,000 --> 00:04:18,214 Tried to get business, nobody would hire him -- 95 00:04:18,238 --> 00:04:19,622 he was obsessed, though, 96 00:04:19,646 --> 00:04:21,653 and he talked about it and talked about it. 97 00:04:21,677 --> 00:04:23,470 Howard loves the Yiddish expression 98 00:04:23,494 --> 00:04:25,976 "To a worm in horseradish, the world is horseradish." 99 00:04:26,541 --> 00:04:28,141 This was his horseradish. 100 00:04:28,165 --> 00:04:29,827 (Laughter) 101 00:04:29,851 --> 00:04:31,290 He was obsessed with it! 102 00:04:32,000 --> 00:04:34,811 And finally, he had a breakthrough. 103 00:04:34,835 --> 00:04:36,976 Vlasic Pickles came to him, 104 00:04:37,000 --> 00:04:41,649 and they said, "Doctor Moskowitz, we want to make the perfect pickle." 105 00:04:41,673 --> 00:04:42,697 And he said, 106 00:04:42,721 --> 00:04:45,650 "There is no perfect pickle; there are only perfect pickles." 107 00:04:46,331 --> 00:04:48,101 And he came back to them and he said, 108 00:04:48,125 --> 00:04:50,335 "You don't just need to improve your regular; 109 00:04:50,359 --> 00:04:51,852 you need to create zesty." 110 00:04:51,876 --> 00:04:53,701 And that's where we got zesty pickles. 111 00:04:54,516 --> 00:04:56,976 Then the next person came to him: Campbell's Soup. 112 00:04:57,000 --> 00:04:59,000 And this was even more important. 113 00:04:59,024 --> 00:05:02,070 In fact, Campbell's Soup is where Howard made his reputation. 114 00:05:02,420 --> 00:05:03,813 Campbell's made Prego, 115 00:05:03,837 --> 00:05:07,705 and Prego, in the early 80s, was struggling next to Ragù, 116 00:05:07,729 --> 00:05:11,094 which was the dominant spaghetti sauce of the 70s and 80s. 117 00:05:11,546 --> 00:05:14,389 In the industry -- I don't know whether you care about this, 118 00:05:14,413 --> 00:05:16,413 or how much time I have to go into this. 119 00:05:16,437 --> 00:05:19,067 But it was, technically speaking -- this is an aside -- 120 00:05:19,091 --> 00:05:21,151 Prego is a better tomato sauce than Ragù. 121 00:05:21,175 --> 00:05:23,456 The quality of the tomato paste is much better; 122 00:05:23,480 --> 00:05:25,300 the spice mix is far superior; 123 00:05:25,324 --> 00:05:27,810 it adheres to the pasta in a much more pleasing way. 124 00:05:27,834 --> 00:05:29,911 In fact, they would do the famous bowl test 125 00:05:29,935 --> 00:05:32,580 back in the 70s with Ragù and Prego. 126 00:05:32,604 --> 00:05:36,096 You'd have a plate of spaghetti, and you would pour it on, right? 127 00:05:36,460 --> 00:05:41,105 And the Ragù would all go to the bottom, and the Prego would sit on top. 128 00:05:41,129 --> 00:05:42,660 That's called "adherence." 129 00:05:42,684 --> 00:05:47,224 And, anyway, despite the fact that they were far superior in adherence, 130 00:05:47,248 --> 00:05:50,019 and the quality of their tomato paste, 131 00:05:50,043 --> 00:05:51,412 Prego was struggling. 132 00:05:51,436 --> 00:05:54,438 So they came to Howard, and they said, fix us. 133 00:05:54,811 --> 00:05:57,310 And Howard looked at their product line, and he said, 134 00:05:57,334 --> 00:06:00,437 what you have is a dead tomato society. 135 00:06:01,183 --> 00:06:03,365 So he said, this is what I want to do. 136 00:06:03,389 --> 00:06:05,945 And he got together with the Campbell's soup kitchen, 137 00:06:05,969 --> 00:06:09,430 and he made 45 varieties of spaghetti sauce. 138 00:06:09,454 --> 00:06:12,307 And he varied them according to every conceivable way 139 00:06:12,331 --> 00:06:13,976 that you can vary tomato sauce: 140 00:06:14,000 --> 00:06:15,858 by sweetness, by level of garlic, 141 00:06:15,882 --> 00:06:19,097 by tomatoey-ness, by tartness, by sourness, 142 00:06:19,121 --> 00:06:20,461 by visible solids -- 143 00:06:20,485 --> 00:06:23,746 my favorite term in the spaghetti sauce business. 144 00:06:23,770 --> 00:06:24,771 (Laughter) 145 00:06:24,795 --> 00:06:28,333 Every conceivable way you can vary spaghetti sauce, 146 00:06:28,357 --> 00:06:30,136 he varied spaghetti sauce. 147 00:06:30,160 --> 00:06:33,893 And then he took this whole raft of 45 spaghetti sauces, 148 00:06:33,917 --> 00:06:35,074 and he went on the road. 149 00:06:35,098 --> 00:06:36,977 He went to New York, to Chicago, 150 00:06:37,001 --> 00:06:38,930 he went to Jacksonville, to Los Angeles. 151 00:06:38,954 --> 00:06:42,716 And he brought in people by the truckload into big halls. 152 00:06:42,740 --> 00:06:44,465 And he sat them down for two hours, 153 00:06:44,489 --> 00:06:47,816 and over the course of that two hours, he gave them ten bowls. 154 00:06:47,840 --> 00:06:49,098 Ten small bowls of pasta, 155 00:06:49,122 --> 00:06:51,580 with a different spaghetti sauce on each one. 156 00:06:52,185 --> 00:06:56,331 And after they ate each bowl, they had to rate, from 0 to 100, 157 00:06:56,355 --> 00:06:58,976 how good they thought the spaghetti sauce was. 158 00:06:59,490 --> 00:07:02,561 At the end of that process, after doing it for months and months, 159 00:07:02,585 --> 00:07:04,128 he had a mountain of data 160 00:07:04,152 --> 00:07:07,976 about how the American people feel about spaghetti sauce. 161 00:07:08,000 --> 00:07:09,467 And then he analyzed the data. 162 00:07:09,491 --> 00:07:13,468 Did he look for the most popular variety of spaghetti sauce? 163 00:07:13,492 --> 00:07:16,246 No! Howard doesn't believe that there is such a thing. 164 00:07:16,270 --> 00:07:18,333 Instead, he looked at the data, and he said, 165 00:07:18,357 --> 00:07:23,976 let's see if we can group all these different data points into clusters. 166 00:07:24,000 --> 00:07:26,452 Let's see if they congregate around certain ideas. 167 00:07:27,000 --> 00:07:29,205 And sure enough, if you sit down, 168 00:07:29,229 --> 00:07:32,794 and you analyze all this data on spaghetti sauce, 169 00:07:32,818 --> 00:07:35,928 you realize that all Americans fall into one of three groups. 170 00:07:36,340 --> 00:07:39,253 There are people who like their spaghetti sauce plain; 171 00:07:39,277 --> 00:07:41,976 there are people who like their spaghetti sauce spicy; 172 00:07:42,000 --> 00:07:44,244 and there are people who like it extra chunky. 173 00:07:44,929 --> 00:07:48,976 And of those three facts, the third one was the most significant, 174 00:07:49,000 --> 00:07:51,654 because at the time, in the early 1980s, 175 00:07:51,678 --> 00:07:53,178 if you went to a supermarket, 176 00:07:53,202 --> 00:07:56,517 you would not find extra-chunky spaghetti sauce. 177 00:07:56,987 --> 00:07:59,000 And Prego turned to Howard, and they said, 178 00:07:59,024 --> 00:08:01,721 "You're telling me that one third of Americans 179 00:08:01,745 --> 00:08:04,976 crave extra-chunky spaghetti sauce 180 00:08:05,000 --> 00:08:07,499 and yet no one is servicing their needs?" 181 00:08:07,523 --> 00:08:08,547 And he said "Yes!" 182 00:08:08,571 --> 00:08:09,863 (Laughter) 183 00:08:09,887 --> 00:08:11,229 And Prego then went back, 184 00:08:11,253 --> 00:08:13,625 and completely reformulated their spaghetti sauce, 185 00:08:13,649 --> 00:08:17,303 and came out with a line of extra chunky that immediately and completely 186 00:08:17,327 --> 00:08:20,311 took over the spaghetti sauce business in this country. 187 00:08:20,335 --> 00:08:24,738 And over the next 10 years, they made 600 million dollars 188 00:08:24,762 --> 00:08:27,159 off their line of extra-chunky sauces. 189 00:08:28,000 --> 00:08:31,490 Everyone else in the industry looked at what Howard had done, and they said, 190 00:08:31,514 --> 00:08:33,921 "Oh my god! We've been thinking all wrong!" 191 00:08:33,945 --> 00:08:37,215 And that's when you started to get seven different kinds of vinegar, 192 00:08:37,239 --> 00:08:42,705 and 14 different kinds of mustard, and 71 different kinds of olive oil. 193 00:08:42,729 --> 00:08:45,976 And then eventually even Ragù hired Howard, 194 00:08:46,000 --> 00:08:49,191 and Howard did the exact same thing for Ragù that he did for Prego. 195 00:08:49,215 --> 00:08:51,566 And today, if you go to a really good supermarket, 196 00:08:51,590 --> 00:08:53,733 do you know how many Ragùs there are? 197 00:08:53,757 --> 00:08:54,757 36! 198 00:08:55,967 --> 00:08:57,537 In six varieties: 199 00:08:57,561 --> 00:09:00,611 Cheese, Light, 200 00:09:00,635 --> 00:09:03,737 Robusto, Rich & Hearty, 201 00:09:03,761 --> 00:09:05,071 Old World Traditional -- 202 00:09:07,483 --> 00:09:09,200 Extra-Chunky Garden. 203 00:09:09,224 --> 00:09:10,976 (Laughter) 204 00:09:11,000 --> 00:09:12,744 That's Howard's doing. 205 00:09:12,768 --> 00:09:14,976 That is Howard's gift to the American people. 206 00:09:15,000 --> 00:09:16,681 Now why is that important? 207 00:09:16,705 --> 00:09:18,976 (Laughter) 208 00:09:19,000 --> 00:09:21,081 It is, in fact, enormously important. 209 00:09:21,105 --> 00:09:22,475 I'll explain to you why. 210 00:09:22,499 --> 00:09:26,620 What Howard did is he fundamentally changed the way the food industry thinks 211 00:09:26,644 --> 00:09:28,065 about making you happy. 212 00:09:29,000 --> 00:09:31,976 Assumption number one in the food industry used to be 213 00:09:32,000 --> 00:09:34,700 that the way to find out what people want to eat, 214 00:09:34,724 --> 00:09:37,061 what will make people happy, is to ask them. 215 00:09:37,628 --> 00:09:39,286 And for years and years and years, 216 00:09:39,310 --> 00:09:41,548 Ragù and Prego would have focus groups, 217 00:09:41,572 --> 00:09:44,032 and they would sit you down, and they would say, 218 00:09:44,056 --> 00:09:45,929 "What do you want in a spaghetti sauce? 219 00:09:45,953 --> 00:09:48,028 Tell us what you want in a spaghetti sauce." 220 00:09:48,052 --> 00:09:50,976 And for all those years -- 20, 30 years -- 221 00:09:51,000 --> 00:09:52,976 through all those focus group sessions, 222 00:09:53,000 --> 00:09:56,021 no one ever said they wanted extra-chunky. 223 00:09:56,754 --> 00:10:00,205 Even though at least a third of them, deep in their hearts, actually did. 224 00:10:00,229 --> 00:10:02,022 (Laughter) 225 00:10:02,696 --> 00:10:04,708 People don't know what they want! 226 00:10:04,732 --> 00:10:06,178 As Howard loves to say, 227 00:10:06,202 --> 00:10:08,954 "The mind knows not what the tongue wants." 228 00:10:08,978 --> 00:10:10,130 It's a mystery! 229 00:10:10,154 --> 00:10:11,158 (Laughter) 230 00:10:11,182 --> 00:10:13,588 And a critically important step 231 00:10:13,612 --> 00:10:16,943 in understanding our own desires and tastes 232 00:10:16,967 --> 00:10:20,599 is to realize that we cannot always explain what we want, deep down. 233 00:10:21,242 --> 00:10:25,278 If I asked all of you, for example, in this room, what you want in a coffee, 234 00:10:25,302 --> 00:10:26,630 you know what you'd say? 235 00:10:26,654 --> 00:10:30,893 Every one of you would say, "I want a dark, rich, hearty roast." 236 00:10:31,555 --> 00:10:33,713 It's what people always say when you ask them. 237 00:10:33,737 --> 00:10:36,269 "What do you like?" "Dark, rich, hearty roast!" 238 00:10:36,293 --> 00:10:39,806 What percentage of you actually like a dark, rich, hearty roast? 239 00:10:39,830 --> 00:10:42,878 According to Howard, somewhere between 25 and 27 percent of you. 240 00:10:43,567 --> 00:10:45,762 Most of you like milky, weak coffee. 241 00:10:45,786 --> 00:10:46,787 (Laughter) 242 00:10:46,811 --> 00:10:50,143 But you will never, ever say to someone who asks you what you want 243 00:10:50,167 --> 00:10:52,358 that "I want a milky, weak coffee." 244 00:10:52,382 --> 00:10:55,281 So that's number one thing that Howard did. 245 00:10:56,528 --> 00:10:59,976 Number two thing that Howard did is he made us realize -- 246 00:11:00,000 --> 00:11:01,976 it's another very critical point -- 247 00:11:02,000 --> 00:11:04,174 he made us realize the importance 248 00:11:04,198 --> 00:11:07,197 of what he likes to call "horizontal segmentation." 249 00:11:08,000 --> 00:11:09,015 Why is this critical? 250 00:11:09,039 --> 00:11:12,737 Because this is the way the food industry thought before Howard. 251 00:11:12,761 --> 00:11:15,071 What were they obsessed with in the early 80s? 252 00:11:15,095 --> 00:11:16,635 They were obsessed with mustard. 253 00:11:16,659 --> 00:11:19,976 In particular, they were obsessed with the story of Grey Poupon. 254 00:11:20,000 --> 00:11:23,201 Used to be, there were two mustards: French's and Gulden's. 255 00:11:23,225 --> 00:11:24,718 What were they? Yellow mustard. 256 00:11:24,742 --> 00:11:25,757 What's in it? 257 00:11:25,781 --> 00:11:27,835 Yellow mustard seeds, turmeric, and paprika. 258 00:11:27,859 --> 00:11:28,933 That was mustard. 259 00:11:28,957 --> 00:11:31,482 Grey Poupon came along, with a Dijon. 260 00:11:31,506 --> 00:11:32,694 Right? 261 00:11:32,718 --> 00:11:38,381 Much more volatile brown mustard seed, some white wine, a nose hit, 262 00:11:38,405 --> 00:11:40,343 much more delicate aromatics. 263 00:11:40,367 --> 00:11:41,382 And what do they do? 264 00:11:41,406 --> 00:11:46,205 They put it in a little tiny glass jar, with a wonderful enameled label on it, 265 00:11:46,229 --> 00:11:47,303 made it look French, 266 00:11:47,327 --> 00:11:49,428 even though it's made in Oxnard, California. 267 00:11:49,452 --> 00:11:50,453 (Laughter) 268 00:11:50,477 --> 00:11:54,976 And instead of charging a dollar fifty for the eight-ounce bottle, 269 00:11:55,000 --> 00:11:56,973 the way that French's and Gulden's did, 270 00:11:56,997 --> 00:11:58,724 they decided to charge four dollars. 271 00:11:58,748 --> 00:11:59,960 And they had those ads. 272 00:11:59,984 --> 00:12:02,619 With the guy in the Rolls Royce, eating the Grey Poupon. 273 00:12:02,643 --> 00:12:05,429 Another pulls up, and says, "Do you have any Grey Poupon?" 274 00:12:05,453 --> 00:12:08,637 And the whole thing, after they did that, Grey Poupon takes off! 275 00:12:08,661 --> 00:12:10,185 Takes over the mustard business! 276 00:12:10,209 --> 00:12:12,217 And everyone's take-home lesson from that 277 00:12:12,241 --> 00:12:16,976 was that the way to make people happy 278 00:12:17,000 --> 00:12:20,394 is to give them something that is more expensive, 279 00:12:20,418 --> 00:12:22,485 something to aspire to. 280 00:12:22,509 --> 00:12:26,652 It's to make them turn their back on what they think they like now, 281 00:12:26,676 --> 00:12:30,095 and reach out for something higher up the mustard hierarchy. 282 00:12:30,119 --> 00:12:31,120 (Laughter) 283 00:12:31,144 --> 00:12:33,356 A better mustard! A more expensive mustard! 284 00:12:33,380 --> 00:12:36,543 A mustard of more sophistication and culture and meaning. 285 00:12:36,567 --> 00:12:38,976 And Howard looked to that and said, "That's wrong!" 286 00:12:39,639 --> 00:12:41,757 Mustard does not exist on a hierarchy. 287 00:12:42,218 --> 00:12:46,319 Mustard exists, just like tomato sauce, on a horizontal plane. 288 00:12:46,779 --> 00:12:49,518 There is no good mustard or bad mustard. 289 00:12:49,542 --> 00:12:52,068 There is no perfect mustard or imperfect mustard. 290 00:12:52,092 --> 00:12:55,837 There are only different kinds of mustards that suit different kinds of people. 291 00:12:56,358 --> 00:13:01,193 He fundamentally democratized the way we think about taste. 292 00:13:01,217 --> 00:13:05,436 And for that, as well, we owe Howard Moskowitz a huge vote of thanks. 293 00:13:06,201 --> 00:13:09,694 Third thing that Howard did, and perhaps the most important, 294 00:13:09,718 --> 00:13:12,557 is Howard confronted the notion of the Platonic dish. 295 00:13:12,581 --> 00:13:13,582 (Laughter) 296 00:13:13,606 --> 00:13:14,748 What do I mean by that? 297 00:13:14,772 --> 00:13:16,328 (Laughter) 298 00:13:16,352 --> 00:13:18,452 For the longest time in the food industry, 299 00:13:18,476 --> 00:13:21,056 there was a sense that there was one way, 300 00:13:21,080 --> 00:13:23,808 a perfect way, to make a dish. 301 00:13:24,570 --> 00:13:26,285 You go to Chez Panisse, 302 00:13:26,309 --> 00:13:31,592 they give you the red-tail sashimi with roasted pumpkin seeds 303 00:13:31,616 --> 00:13:33,469 in a something something reduction. 304 00:13:33,493 --> 00:13:35,976 They don't give you five options on the reduction. 305 00:13:36,000 --> 00:13:39,594 They don't say, "Do you want the extra-chunky reduction, or ...?" 306 00:13:39,618 --> 00:13:40,626 No! 307 00:13:40,650 --> 00:13:42,197 You just get the reduction. Why? 308 00:13:42,221 --> 00:13:43,783 Because the chef at Chez Panisse 309 00:13:43,807 --> 00:13:46,395 has a Platonic notion about red-tail sashimi. 310 00:13:46,419 --> 00:13:48,301 "This is the way it ought to be." 311 00:13:48,920 --> 00:13:52,976 And she serves it that way time and time again, 312 00:13:53,000 --> 00:13:55,262 and if you quarrel with her, she will say, 313 00:13:55,286 --> 00:13:56,888 "You know what? You're wrong! 314 00:13:57,468 --> 00:14:00,188 This is the best way it ought to be in this restaurant." 315 00:14:00,212 --> 00:14:03,651 Now that same idea fueled the commercial food industry as well. 316 00:14:04,294 --> 00:14:07,511 They had a Platonic notion of what tomato sauce was. 317 00:14:07,535 --> 00:14:09,976 And where did that come from? It came from Italy. 318 00:14:10,000 --> 00:14:12,019 Italian tomato sauce is what? 319 00:14:12,375 --> 00:14:13,975 It's blended; it's thin. 320 00:14:14,531 --> 00:14:16,840 The culture of tomato sauce was thin. 321 00:14:16,864 --> 00:14:19,841 When we talked about "authentic tomato sauce" in the 1970s, 322 00:14:19,865 --> 00:14:21,674 we talked about Italian tomato sauce, 323 00:14:21,698 --> 00:14:23,477 we talked about the earliest Ragùs, 324 00:14:23,501 --> 00:14:25,653 which had no visible solids, right? 325 00:14:26,000 --> 00:14:28,117 Which were thin, you just put a little bit 326 00:14:28,141 --> 00:14:30,189 and it sunk down to the bottom of the pasta. 327 00:14:30,213 --> 00:14:31,405 That's what it was. 328 00:14:31,429 --> 00:14:33,090 And why were we attached to that? 329 00:14:33,114 --> 00:14:35,852 Because we thought that what it took to make people happy 330 00:14:35,876 --> 00:14:40,470 was to provide them with the most culturally authentic tomato sauce, A. 331 00:14:40,494 --> 00:14:45,578 And B, we thought that if we gave them the culturally authentic tomato sauce, 332 00:14:45,602 --> 00:14:47,030 then they would embrace it. 333 00:14:47,054 --> 00:14:49,788 And that's what would please the maximum number of people. 334 00:14:50,288 --> 00:14:52,574 In other words, 335 00:14:52,598 --> 00:14:55,997 people in the cooking world were looking for cooking universals. 336 00:14:56,336 --> 00:14:58,774 They were looking for one way to treat all of us. 337 00:14:58,798 --> 00:15:01,378 And it's good reason for them to be obsessed 338 00:15:01,402 --> 00:15:02,784 with the idea of universals, 339 00:15:02,808 --> 00:15:04,205 because all of science, 340 00:15:04,229 --> 00:15:06,478 through the 19th century and much of the 20th, 341 00:15:06,502 --> 00:15:08,171 was obsessed with universals. 342 00:15:08,195 --> 00:15:12,183 Psychologists, medical scientists, economists 343 00:15:12,207 --> 00:15:14,295 were all interested in finding out the rules 344 00:15:14,319 --> 00:15:16,509 that govern the way all of us behave. 345 00:15:17,259 --> 00:15:18,657 But that changed, right? 346 00:15:18,681 --> 00:15:22,292 What is the great revolution in science of the last 10, 15 years? 347 00:15:22,316 --> 00:15:25,831 It is the movement from the search for universals 348 00:15:25,855 --> 00:15:27,704 to the understanding of variability. 349 00:15:28,339 --> 00:15:31,976 Now in medical science, we don't want to know, necessarily, 350 00:15:32,000 --> 00:15:33,701 just how cancer works, 351 00:15:33,725 --> 00:15:36,976 we want to know how your cancer is different from my cancer. 352 00:15:37,000 --> 00:15:39,747 I guess my cancer different from your cancer. 353 00:15:39,771 --> 00:15:43,859 Genetics has opened the door to the study of human variability. 354 00:15:43,883 --> 00:15:45,978 What Howard Moskowitz was doing was saying, 355 00:15:46,002 --> 00:15:50,113 "This same revolution needs to happen in the world of tomato sauce." 356 00:15:51,000 --> 00:15:53,572 And for that, we owe him a great vote of thanks. 357 00:15:55,201 --> 00:15:58,043 I'll give you one last illustration of variability, 358 00:15:58,067 --> 00:15:59,908 and that is -- oh, I'm sorry. 359 00:15:59,932 --> 00:16:03,420 Howard not only believed that, but he took it a second step, 360 00:16:03,444 --> 00:16:08,596 which was to say that when we pursue universal principles in food, 361 00:16:08,620 --> 00:16:10,240 we aren't just making an error; 362 00:16:10,264 --> 00:16:13,612 we are actually doing ourselves a massive disservice. 363 00:16:14,000 --> 00:16:15,810 And the example he used was coffee. 364 00:16:16,223 --> 00:16:20,268 And coffee is something he did a lot of work with, with Nescafé. 365 00:16:20,746 --> 00:16:24,244 If I were to ask all of you to try and come up with a brand of coffee -- 366 00:16:24,268 --> 00:16:27,290 a type of coffee, a brew -- that made all of you happy, 367 00:16:27,314 --> 00:16:29,267 and then I asked you to rate that coffee, 368 00:16:29,291 --> 00:16:33,348 the average score in this room for coffee would be about 60 on a scale of 0 to 100. 369 00:16:33,825 --> 00:16:37,448 If, however, you allowed me to break you into coffee clusters, 370 00:16:37,472 --> 00:16:39,257 maybe three or four coffee clusters, 371 00:16:39,281 --> 00:16:43,976 and I could make coffee just for each of those individual clusters, 372 00:16:44,000 --> 00:16:47,555 your scores would go from 60 to 75 or 78. 373 00:16:48,000 --> 00:16:53,237 The difference between coffee at 60 and coffee at 78 374 00:16:53,261 --> 00:16:55,976 is a difference between coffee that makes you wince, 375 00:16:56,000 --> 00:16:59,004 and coffee that makes you deliriously happy. 376 00:16:59,690 --> 00:17:02,884 That is the final, and I think most beautiful lesson, 377 00:17:02,908 --> 00:17:04,243 of Howard Moskowitz: 378 00:17:04,267 --> 00:17:07,976 that in embracing the diversity of human beings, 379 00:17:08,000 --> 00:17:10,365 we will find a surer way to true happiness. 380 00:17:10,769 --> 00:17:11,786 Thank you. 381 00:17:11,810 --> 00:17:12,976 (Applause)