1 00:00:00,000 --> 00:00:03,000 I think I was supposed to talk about my new book, 2 00:00:03,000 --> 00:00:08,000 which is called "Blink," and it's about snap judgments and first impressions. 3 00:00:08,000 --> 00:00:12,000 And it comes out in January, and I hope you all buy it in triplicate. 4 00:00:12,000 --> 00:00:15,000 But I was thinking about this, 5 00:00:15,000 --> 00:00:18,000 and I realized that although my new book makes me happy, 6 00:00:18,000 --> 00:00:22,000 and I think would make my mother happy, 7 00:00:22,000 --> 00:00:24,000 it's not really about happiness. 8 00:00:24,000 --> 00:00:28,000 So I decided instead, I would talk about someone who 9 00:00:28,000 --> 00:00:31,000 I think has done as much to make Americans happy 10 00:00:31,000 --> 00:00:35,000 as perhaps anyone over the last 20 years, 11 00:00:35,000 --> 00:00:38,000 a man who is a great personal hero of mine: 12 00:00:38,000 --> 00:00:41,000 someone by the name of Howard Moskowitz, 13 00:00:41,000 --> 00:00:45,000 who is most famous for reinventing spaghetti sauce. 14 00:00:45,000 --> 00:00:50,000 Howard's about this high, and he's round, 15 00:00:50,000 --> 00:00:54,000 and he's in his 60s, and he has big huge glasses 16 00:00:54,000 --> 00:01:00,000 and thinning grey hair, and he has a kind of wonderful exuberance and vitality, 17 00:01:00,000 --> 00:01:04,000 and he has a parrot, and he loves the opera, 18 00:01:04,000 --> 00:01:08,000 and he's a great aficionado of medieval history. 19 00:01:08,000 --> 00:01:11,000 And by profession, he's a psychophysicist. 20 00:01:11,000 --> 00:01:15,000 Now, I should tell you that I have no idea what psychophysics is, 21 00:01:15,000 --> 00:01:19,000 although at some point in my life, I dated a girl for two years who was getting 22 00:01:19,000 --> 00:01:21,000 her doctorate in psychophysics. 23 00:01:21,000 --> 00:01:27,000 Which should tell you something about that relationship. (Laughter) 24 00:01:27,000 --> 00:01:30,000 As far as I know, psychophysics is about measuring things. 25 00:01:30,000 --> 00:01:32,000 And Howard is very interested in measuring things. 26 00:01:32,000 --> 00:01:34,000 And he graduated with his doctorate from Harvard, 27 00:01:34,000 --> 00:01:38,000 and he set up a little consulting shop in White Plains, New York. 28 00:01:38,000 --> 00:01:43,000 And one of his first clients was -- this is many years ago, back in the early '70s 29 00:01:43,000 --> 00:01:45,000 -- one of his first clients was Pepsi. 30 00:01:45,000 --> 00:01:47,000 And Pepsi came to Howard and they said, 31 00:01:47,000 --> 00:01:49,000 "You know, there's this new thing called aspartame, 32 00:01:49,000 --> 00:01:52,000 and we would like to make Diet Pepsi. 33 00:01:52,000 --> 00:01:55,000 We'd like you to figure out how much aspartame we should put in 34 00:01:55,000 --> 00:02:00,000 each can of Diet Pepsi, in order to have the perfect drink." Right? 35 00:02:00,000 --> 00:02:04,000 Now that sounds like an incredibly straightforward question to answer, 36 00:02:04,000 --> 00:02:06,000 and that's what Howard thought. Because Pepsi told him, 37 00:02:06,000 --> 00:02:09,000 "Look, we're working with a band between eight and 12 percent. 38 00:02:09,000 --> 00:02:12,000 Anything below eight percent sweetness is not sweet enough; 39 00:02:12,000 --> 00:02:16,000 anything above 12 percent sweetness is too sweet. 40 00:02:16,000 --> 00:02:20,000 We want to know: what's the sweet spot between eight and 12?" 41 00:02:20,000 --> 00:02:23,000 Now, if I gave you this problem to do, you would all say, it's very simple. 42 00:02:23,000 --> 00:02:27,000 What we do is you make up a big experimental batch of Pepsi, 43 00:02:27,000 --> 00:02:31,000 at every degree of sweetness -- eight percent, 8.1, 8.2, 8.3, 44 00:02:31,000 --> 00:02:35,000 all the way up to 12 -- and we try this out with thousands of people, 45 00:02:35,000 --> 00:02:38,000 and we plot the results on a curve, 46 00:02:38,000 --> 00:02:42,000 and we take the most popular concentration. Right? Really simple. 47 00:02:42,000 --> 00:02:45,000 Howard does the experiment, and he gets the data back, and he plots it on a curve, 48 00:02:45,000 --> 00:02:49,000 and all of a sudden he realizes it's not a nice bell curve. 49 00:02:49,000 --> 00:02:50,000 In fact, the data doesn't make any sense. 50 00:02:50,000 --> 00:02:53,000 It's a mess. It's all over the place. 51 00:02:53,000 --> 00:02:58,000 Now, most people in that business, in the world of testing food and such, 52 00:02:58,000 --> 00:03:01,000 are not dismayed when the data comes back a mess. 53 00:03:01,000 --> 00:03:05,000 They think, well, you know, figuring out what people think about cola's not that easy. 54 00:03:05,000 --> 00:03:07,000 You know, maybe we made an error somewhere along the way. 55 00:03:07,000 --> 00:03:10,000 You know, let's just make an educated guess, 56 00:03:10,000 --> 00:03:14,000 and they simply point and they go for 10 percent, right in the middle. 57 00:03:14,000 --> 00:03:16,000 Howard is not so easily placated. 58 00:03:16,000 --> 00:03:19,000 Howard is a man of a certain degree of intellectual standards. 59 00:03:19,000 --> 00:03:21,000 And this was not good enough for him, 60 00:03:21,000 --> 00:03:23,000 and this question bedeviled him for years. 61 00:03:23,000 --> 00:03:26,000 And he would think it through and say, what was wrong? 62 00:03:26,000 --> 00:03:30,000 Why could we not make sense of this experiment with Diet Pepsi? 63 00:03:30,000 --> 00:03:33,000 And one day, he was sitting in a diner in White Plains, 64 00:03:33,000 --> 00:03:36,000 about to go trying to dream up some work for Nescafe. 65 00:03:36,000 --> 00:03:40,000 And suddenly, like a bolt of lightning, the answer came to him. 66 00:03:40,000 --> 00:03:43,000 And that is, that when they analyzed the Diet Pepsi data, 67 00:03:43,000 --> 00:03:45,000 they were asking the wrong question. 68 00:03:45,000 --> 00:03:47,000 They were looking for the perfect Pepsi, 69 00:03:47,000 --> 00:03:52,000 and they should have been looking for the perfect Pepsis. Trust me. 70 00:03:52,000 --> 00:03:54,000 This was an enormous revelation. 71 00:03:54,000 --> 00:03:57,000 This was one of the most brilliant breakthroughs in all of food science. 72 00:03:57,000 --> 00:03:59,000 And Howard immediately went on the road, 73 00:03:59,000 --> 00:04:01,000 and he would go to conferences around the country, 74 00:04:01,000 --> 00:04:03,000 and he would stand up and he would say, 75 00:04:03,000 --> 00:04:07,000 "You had been looking for the perfect Pepsi. You're wrong. 76 00:04:07,000 --> 00:04:10,000 You should be looking for the perfect Pepsis." 77 00:04:10,000 --> 00:04:12,000 And people would look at him with a blank look, and they would say, 78 00:04:12,000 --> 00:04:14,000 "What are you talking about? This is craziness." 79 00:04:14,000 --> 00:04:16,000 And they would say, you know, "Move! Next!" 80 00:04:16,000 --> 00:04:19,000 Tried to get business, nobody would hire him -- he was obsessed, though, 81 00:04:19,000 --> 00:04:22,000 and he talked about it and talked about it and talked about it. 82 00:04:22,000 --> 00:04:23,000 Howard loves the Yiddish expression 83 00:04:23,000 --> 00:04:26,000 "To a worm in horseradish, the world is horseradish." 84 00:04:26,000 --> 00:04:32,000 This was his horseradish. (Laughter) He was obsessed with it! 85 00:04:32,000 --> 00:04:37,000 And finally, he had a breakthrough. Vlasic Pickles came to him, 86 00:04:37,000 --> 00:04:40,000 and they said, "Mr. Moskowitz -- Doctor Moskowitz -- 87 00:04:40,000 --> 00:04:42,000 we want to make the perfect pickle." And he said, 88 00:04:42,000 --> 00:04:46,000 "There is no perfect pickle; there are only perfect pickles." 89 00:04:46,000 --> 00:04:50,000 And he came back to them and he said, "You don't just need to improve your regular; 90 00:04:50,000 --> 00:04:52,000 you need to create zesty." 91 00:04:52,000 --> 00:04:55,000 And that's where we got zesty pickles. 92 00:04:55,000 --> 00:04:57,000 Then the next person came to him, and that was Campbell's Soup. 93 00:04:57,000 --> 00:04:59,000 And this was even more important. In fact, 94 00:04:59,000 --> 00:05:03,000 Campbell's Soup is where Howard made his reputation. 95 00:05:03,000 --> 00:05:08,000 Campbell's made Prego, and Prego, in the early '80s, was struggling next to Ragu, 96 00:05:08,000 --> 00:05:11,000 which was the dominant spaghetti sauce of the '70s and '80s. 97 00:05:11,000 --> 00:05:14,000 Now in the industry -- I don't know whether you care about this, 98 00:05:14,000 --> 00:05:15,000 or how much time I have to go into this. 99 00:05:15,000 --> 00:05:18,000 But it was, technically speaking -- this is an aside -- 100 00:05:18,000 --> 00:05:21,000 Prego is a better tomato sauce than Ragu. 101 00:05:21,000 --> 00:05:25,000 The quality of the tomato paste is much better; the spice mix is far superior; 102 00:05:25,000 --> 00:05:28,000 it adheres to the pasta in a much more pleasing way. In fact, 103 00:05:28,000 --> 00:05:33,000 they would do the famous bowl test back in the '70s with Ragu and Prego. 104 00:05:33,000 --> 00:05:36,000 You'd have a plate of spaghetti, and you would pour it on, right? 105 00:05:36,000 --> 00:05:41,000 And the Ragu would all go to the bottom, and the Prego would sit on top. 106 00:05:41,000 --> 00:05:43,000 That's called "adherence." 107 00:05:43,000 --> 00:05:47,000 And, anyway, despite the fact that they were far superior in adherence, 108 00:05:47,000 --> 00:05:52,000 and the quality of their tomato paste, Prego was struggling. 109 00:05:52,000 --> 00:05:55,000 So they came to Howard, and they said, fix us. 110 00:05:55,000 --> 00:05:57,000 And Howard looked at their product line, and he said, 111 00:05:57,000 --> 00:06:01,000 what you have is a dead tomato society. 112 00:06:01,000 --> 00:06:03,000 So he said, this is what I want to do. 113 00:06:03,000 --> 00:06:05,000 And he got together with the Campbell's soup kitchen, 114 00:06:05,000 --> 00:06:10,000 and he made 45 varieties of spaghetti sauce. And he varied them 115 00:06:10,000 --> 00:06:14,000 according to every conceivable way that you can vary tomato sauce: 116 00:06:14,000 --> 00:06:18,000 by sweetness, by level of garlic, by tartness, by sourness, by tomatoey-ness, 117 00:06:18,000 --> 00:06:25,000 by visible solids -- my favorite term in the spaghetti sauce business. (Laughter) 118 00:06:25,000 --> 00:06:30,000 Every conceivable way you can vary spaghetti sauce, he varied spaghetti sauce. 119 00:06:30,000 --> 00:06:35,000 And then he took this whole raft of 45 spaghetti sauces, and he went on the road. 120 00:06:35,000 --> 00:06:37,000 He went to New York; he went to Chicago; he went to Jacksonville; 121 00:06:37,000 --> 00:06:43,000 he went to Los Angeles. And he brought in people by the truckload. Into big halls. 122 00:06:43,000 --> 00:06:45,000 And he sat them down for two hours, and he gave them, 123 00:06:45,000 --> 00:06:48,000 over the course of that two hours, ten bowls. 124 00:06:48,000 --> 00:06:52,000 Ten small bowls of pasta, with a different spaghetti sauce on each one. 125 00:06:52,000 --> 00:06:56,000 And after they ate each bowl, they had to rate, from 0 to 100, 126 00:06:56,000 --> 00:06:59,000 how good they thought the spaghetti sauce was. 127 00:06:59,000 --> 00:07:02,000 At the end of that process, after doing it for months and months, 128 00:07:02,000 --> 00:07:04,000 he had a mountain of data 129 00:07:04,000 --> 00:07:08,000 about how the American people feel about spaghetti sauce. 130 00:07:08,000 --> 00:07:10,000 And then he analyzed the data. 131 00:07:10,000 --> 00:07:14,000 Now, did he look for the most popular brand variety of spaghetti sauce? No! 132 00:07:14,000 --> 00:07:16,000 Howard doesn't believe that there is such a thing. 133 00:07:16,000 --> 00:07:18,000 Instead, he looked at the data, and he said, 134 00:07:18,000 --> 00:07:24,000 let's see if we can group all these different data points into clusters. 135 00:07:24,000 --> 00:07:27,000 Let's see if they congregate around certain ideas. 136 00:07:27,000 --> 00:07:33,000 And sure enough, if you sit down, and you analyze all this data on spaghetti sauce, 137 00:07:33,000 --> 00:07:36,000 you realize that all Americans fall into one of three groups. 138 00:07:36,000 --> 00:07:39,000 There are people who like their spaghetti sauce plain; 139 00:07:39,000 --> 00:07:42,000 there are people who like their spaghetti sauce spicy; 140 00:07:42,000 --> 00:07:45,000 and there are people who like it extra chunky. 141 00:07:45,000 --> 00:07:49,000 And of those three facts, the third one was the most significant, 142 00:07:49,000 --> 00:07:51,000 because at the time, in the early 1980s, 143 00:07:51,000 --> 00:07:53,000 if you went to a supermarket, 144 00:07:53,000 --> 00:07:57,000 you would not find extra-chunky spaghetti sauce. 145 00:07:57,000 --> 00:07:59,000 And Prego turned to Howard, and they said, 146 00:07:59,000 --> 00:08:05,000 "You telling me that one third of Americans crave extra-chunky spaghetti sauce 147 00:08:05,000 --> 00:08:09,000 and yet no one is servicing their needs?" And he said yes! 148 00:08:09,000 --> 00:08:11,000 (Laughter) And Prego then went back, 149 00:08:11,000 --> 00:08:13,000 and completely reformulated their spaghetti sauce, 150 00:08:13,000 --> 00:08:17,000 and came out with a line of extra chunky that immediately and completely 151 00:08:17,000 --> 00:08:20,000 took over the spaghetti sauce business in this country. 152 00:08:20,000 --> 00:08:24,000 And over the next 10 years, they made 600 million dollars 153 00:08:24,000 --> 00:08:28,000 off their line of extra-chunky sauces. 154 00:08:28,000 --> 00:08:31,000 And everyone else in the industry looked at what Howard had done, and they said, 155 00:08:31,000 --> 00:08:34,000 "Oh my god! We've been thinking all wrong!" 156 00:08:34,000 --> 00:08:37,000 And that's when you started to get seven different kinds of vinegar, 157 00:08:37,000 --> 00:08:42,000 and 14 different kinds of mustard, and 71 different kinds of olive oil -- 158 00:08:42,000 --> 00:08:46,000 and then eventually even Ragu hired Howard, 159 00:08:46,000 --> 00:08:49,000 and Howard did the exact same thing for Ragu that he did for Prego. 160 00:08:49,000 --> 00:08:50,000 And today, if you go to the supermarket, a really good one, 161 00:08:50,000 --> 00:08:53,000 and you look at how many Ragus there are -- 162 00:08:53,000 --> 00:08:56,000 do you know how many they are? 36! 163 00:08:56,000 --> 00:09:02,000 In six varieties: Cheese, Light, Robusto, 164 00:09:02,000 --> 00:09:11,000 Rich & Hearty, Old World Traditional, Extra-Chunky Garden. (Laughter) 165 00:09:11,000 --> 00:09:15,000 That's Howard's doing. That is Howard's gift to the American people. 166 00:09:15,000 --> 00:09:19,000 Now why is that important? 167 00:09:19,000 --> 00:09:23,000 It is, in fact, enormously important. I'll explain to you why. 168 00:09:23,000 --> 00:09:26,000 What Howard did is he fundamentally changed the way the food industry thinks 169 00:09:26,000 --> 00:09:29,000 about making you happy. 170 00:09:29,000 --> 00:09:32,000 Assumption number one in the food industry used to be 171 00:09:32,000 --> 00:09:35,000 that the way to find out what people want to eat -- 172 00:09:35,000 --> 00:09:38,000 what will make people happy -- is to ask them. 173 00:09:38,000 --> 00:09:40,000 And for years and years and years and years, Ragu and Prego would have 174 00:09:40,000 --> 00:09:44,000 focus groups, and they would sit all you people down, and they would say, 175 00:09:44,000 --> 00:09:48,000 "What do you want in a spaghetti sauce? Tell us what you want in a spaghetti sauce." 176 00:09:48,000 --> 00:09:51,000 And for all those years -- 20, 30 years -- 177 00:09:51,000 --> 00:09:53,000 through all those focus group sessions, 178 00:09:53,000 --> 00:09:57,000 no one ever said they wanted extra-chunky. 179 00:09:57,000 --> 00:10:00,000 Even though at least a third of them, deep in their hearts, actually did. 180 00:10:00,000 --> 00:10:03,000 (Laughter) 181 00:10:03,000 --> 00:10:05,000 People don't know what they want! Right? 182 00:10:05,000 --> 00:10:08,000 As Howard loves to say, "The mind knows not what the tongue wants." 183 00:10:08,000 --> 00:10:11,000 It's a mystery! 184 00:10:11,000 --> 00:10:16,000 And a critically important step in understanding our own desires 185 00:10:16,000 --> 00:10:21,000 and tastes is to realize that we cannot always explain what we want deep down. 186 00:10:21,000 --> 00:10:25,000 If I asked all of you, for example, in this room, what you want in a coffee, 187 00:10:25,000 --> 00:10:31,000 you know what you'd say? Every one of you would say, "I want a dark, rich, hearty roast." 188 00:10:31,000 --> 00:10:33,000 It's what people always say when you ask them what they want in a coffee. 189 00:10:33,000 --> 00:10:36,000 What do you like? Dark, rich, hearty roast! 190 00:10:36,000 --> 00:10:40,000 What percentage of you actually like a dark, rich, hearty roast? 191 00:10:40,000 --> 00:10:43,000 According to Howard, somewhere between 25 and 27 percent of you. 192 00:10:43,000 --> 00:10:47,000 Most of you like milky, weak coffee. 193 00:10:47,000 --> 00:10:50,000 But you will never, ever say to someone who asks you what you want 194 00:10:50,000 --> 00:10:52,000 that "I want a milky, weak coffee." (Laughter) 195 00:10:52,000 --> 00:10:57,000 So that's number one thing that Howard did. 196 00:10:57,000 --> 00:11:00,000 Number two thing that Howard did is he made us realize -- 197 00:11:00,000 --> 00:11:02,000 it's another very critical point -- 198 00:11:02,000 --> 00:11:08,000 he made us realize in the importance of what he likes to call "horizontal segmentation." 199 00:11:08,000 --> 00:11:10,000 Why is this critical? It's critical because 200 00:11:10,000 --> 00:11:12,000 this is the way the food industry thought before Howard. Right? 201 00:11:12,000 --> 00:11:17,000 What were they obsessed with in the early '80s? They were obsessed with mustard. 202 00:11:17,000 --> 00:11:20,000 In particular, they were obsessed with the story of Grey Poupon. Right? 203 00:11:20,000 --> 00:11:23,000 Used to be, there were two mustards. French's and Gulden's. 204 00:11:23,000 --> 00:11:25,000 What were they? Yellow mustard. What's in yellow mustard? 205 00:11:25,000 --> 00:11:29,000 Yellow mustard seeds, turmeric, and paprika. That was mustard. 206 00:11:29,000 --> 00:11:32,000 Grey Poupon came along, with a Dijon. Right? 207 00:11:32,000 --> 00:11:38,000 Much more volatile brown mustard seed, some white wine, a nose hit, 208 00:11:38,000 --> 00:11:41,000 much more delicate aromatics. And what do they do? 209 00:11:41,000 --> 00:11:46,000 They put it in a little tiny glass jar, with a wonderful enameled label on it, 210 00:11:46,000 --> 00:11:50,000 made it look French, even though it's made in Oxnard, California. 211 00:11:50,000 --> 00:11:55,000 And instead of charging a dollar-fifty for the eight-ounce bottle, 212 00:11:55,000 --> 00:11:58,000 the way that French's and Gulden's did, they decided to charge four dollars. 213 00:11:58,000 --> 00:12:01,000 And then they had those ads, right? With the guy in the Rolls Royce, 214 00:12:01,000 --> 00:12:03,000 and he's eating the Grey Poupon. The other Rolls Royce pulls up, 215 00:12:03,000 --> 00:12:05,000 and he says, do you have any Grey Poupon? 216 00:12:05,000 --> 00:12:08,000 And the whole thing, after they did that, Grey Poupon takes off! 217 00:12:08,000 --> 00:12:10,000 Takes over the mustard business! 218 00:12:10,000 --> 00:12:13,000 And everyone's take-home lesson from that was 219 00:12:13,000 --> 00:12:17,000 that the way to get to make people happy 220 00:12:17,000 --> 00:12:22,000 is to give them something that is more expensive, something to aspire to. Right? 221 00:12:22,000 --> 00:12:27,000 It's to make them turn their back on what they think they like now, 222 00:12:27,000 --> 00:12:31,000 and reach out for something higher up the mustard hierarchy. 223 00:12:31,000 --> 00:12:33,000 A better mustard! A more expensive mustard! 224 00:12:33,000 --> 00:12:36,000 A mustard of more sophistication and culture and meaning. 225 00:12:36,000 --> 00:12:39,000 And Howard looked to that and said, that's wrong! 226 00:12:39,000 --> 00:12:42,000 Mustard does not exist on a hierarchy. 227 00:12:42,000 --> 00:12:47,000 Mustard exists, just like tomato sauce, on a horizontal plane. 228 00:12:47,000 --> 00:12:50,000 There is no good mustard or bad mustard. 229 00:12:50,000 --> 00:12:52,000 There is no perfect mustard or imperfect mustard. 230 00:12:52,000 --> 00:12:56,000 There are only different kinds of mustards that suit different kinds of people. 231 00:12:56,000 --> 00:13:01,000 He fundamentally democratized the way we think about taste. 232 00:13:01,000 --> 00:13:06,000 And for that, as well, we owe Howard Moskowitz a huge vote of thanks. 233 00:13:06,000 --> 00:13:10,000 Third thing that Howard did, and perhaps the most important, 234 00:13:10,000 --> 00:13:13,000 is Howard confronted the notion of the Platonic dish. (Laughter) 235 00:13:13,000 --> 00:13:16,000 What do I mean by that? 236 00:13:16,000 --> 00:13:18,000 For the longest time in the food industry, 237 00:13:18,000 --> 00:13:25,000 there was a sense that there was one way, a perfect way, to make a dish. 238 00:13:25,000 --> 00:13:29,000 You go to Chez Panisse, they give you the red-tail sashimi 239 00:13:29,000 --> 00:13:33,000 with roasted pumpkin seeds in a something something reduction. 240 00:13:33,000 --> 00:13:36,000 They don't give you five options on the reduction, right? 241 00:13:36,000 --> 00:13:40,000 They don't say, do you want the extra-chunky reduction, or do you want the -- no! 242 00:13:40,000 --> 00:13:43,000 You just get the reduction. Why? Because the chef at Chez Panisse 243 00:13:43,000 --> 00:13:46,000 has a Platonic notion about red-tail sashimi. 244 00:13:46,000 --> 00:13:49,000 This is the way it ought to be. 245 00:13:49,000 --> 00:13:53,000 And she serves it that way time and time again, 246 00:13:53,000 --> 00:13:55,000 and if you quarrel with her, she will say, 247 00:13:55,000 --> 00:14:00,000 "You know what? You're wrong! This is the best way it ought to be in this restaurant." 248 00:14:00,000 --> 00:14:04,000 Now that same idea fueled the commercial food industry as well. 249 00:14:04,000 --> 00:14:07,000 They had a notion, a Platonic notion, of what tomato sauce was. 250 00:14:07,000 --> 00:14:10,000 And where did that come from? It came from Italy. 251 00:14:10,000 --> 00:14:14,000 Italian tomato sauce is what? It's blended; it's thin. 252 00:14:14,000 --> 00:14:17,000 The culture of tomato sauce was thin. 253 00:14:17,000 --> 00:14:20,000 When we talked about authentic tomato sauce in the 1970s, 254 00:14:20,000 --> 00:14:23,000 we talked about Italian tomato sauce. We talked about the earliest ragus, 255 00:14:23,000 --> 00:14:26,000 which had no visible solids, right? 256 00:14:26,000 --> 00:14:28,000 Which were thin, and you just put a little bit over it 257 00:14:28,000 --> 00:14:30,000 and it sunk down to the bottom of the pasta. 258 00:14:30,000 --> 00:14:32,000 That's what it was. And why were we attached to that? 259 00:14:32,000 --> 00:14:35,000 Because we thought that what it took to make people happy 260 00:14:35,000 --> 00:14:41,000 was to provide them with the most culturally authentic tomato sauce, A; 261 00:14:41,000 --> 00:14:45,000 and B, we thought that if we gave them the culturally authentic tomato sauce, 262 00:14:45,000 --> 00:14:47,000 then they would embrace it. 263 00:14:47,000 --> 00:14:50,000 And that's what would please the maximum number of people. 264 00:14:50,000 --> 00:14:52,000 And the reason we thought that -- in other words, 265 00:14:52,000 --> 00:14:56,000 people in the cooking world were looking for cooking universals. 266 00:14:56,000 --> 00:14:59,000 They were looking for one way to treat all of us. 267 00:14:59,000 --> 00:15:02,000 And it's good reason for them to be obsessed with the idea of universals, 268 00:15:02,000 --> 00:15:06,000 because all of science, through the 19th century and much of the 20th, 269 00:15:06,000 --> 00:15:08,000 was obsessed with universals. 270 00:15:08,000 --> 00:15:14,000 Psychologists, medical scientists, economists were all interested in finding out 271 00:15:14,000 --> 00:15:17,000 the rules that govern the way all of us behave. 272 00:15:17,000 --> 00:15:19,000 But that changed, right? 273 00:15:19,000 --> 00:15:22,000 What is the great revolution in science of the last 10, 15 years? 274 00:15:22,000 --> 00:15:28,000 It is the movement from the search for universals to the understanding of variability. 275 00:15:28,000 --> 00:15:32,000 Now in medical science, we don't want to know how necessarily -- 276 00:15:32,000 --> 00:15:37,000 just how cancer works, we want to know how your cancer is different from my cancer. 277 00:15:37,000 --> 00:15:40,000 I guess my cancer different from your cancer. 278 00:15:40,000 --> 00:15:44,000 Genetics has opened the door to the study of human variability. 279 00:15:44,000 --> 00:15:47,000 What Howard Moskowitz was doing was saying, this same revolution 280 00:15:47,000 --> 00:15:51,000 needs to happen in the world of tomato sauce. 281 00:15:51,000 --> 00:15:55,000 And for that, we owe him a great vote of thanks. 282 00:15:55,000 --> 00:16:00,000 I'll give you one last illustration of variability, and that is -- oh, I'm sorry. 283 00:16:00,000 --> 00:16:03,000 Howard not only believed that, but he took it a second step, 284 00:16:03,000 --> 00:16:09,000 which was to say that when we pursue universal principles in food, 285 00:16:09,000 --> 00:16:14,000 we aren't just making an error; we are actually doing ourselves a massive disservice. 286 00:16:14,000 --> 00:16:16,000 And the example he used was coffee. 287 00:16:16,000 --> 00:16:21,000 And coffee is something he did a lot of work with, with Nescafe. 288 00:16:21,000 --> 00:16:24,000 If I were to ask all of you to try and come up with a brand of coffee 289 00:16:24,000 --> 00:16:27,000 -- a type of coffee, a brew -- that made all of you happy, 290 00:16:27,000 --> 00:16:29,000 and then I asked you to rate that coffee, 291 00:16:29,000 --> 00:16:34,000 the average score in this room for coffee would be about 60 on a scale of 0 to 100. 292 00:16:34,000 --> 00:16:37,000 If, however, you allowed me to break you into coffee clusters, 293 00:16:37,000 --> 00:16:39,000 maybe three or four coffee clusters, 294 00:16:39,000 --> 00:16:44,000 and I could make coffee just for each of those individual clusters, 295 00:16:44,000 --> 00:16:48,000 your scores would go from 60 to 75 or 78. 296 00:16:48,000 --> 00:16:53,000 The difference between coffee at 60 and coffee at 78 297 00:16:53,000 --> 00:16:56,000 is a difference between coffee that makes you wince, 298 00:16:56,000 --> 00:17:00,000 and coffee that makes you deliriously happy. 299 00:17:00,000 --> 00:17:04,000 That is the final, and I think most beautiful lesson, of Howard Moskowitz: 300 00:17:04,000 --> 00:17:08,000 that in embracing the diversity of human beings, 301 00:17:08,000 --> 00:17:11,000 we will find a surer way to true happiness. 302 00:17:11,000 --> 00:17:13,000 Thank you.