1 00:00:00,000 --> 00:00:02,000 One of my favorite parts 2 00:00:02,000 --> 00:00:04,000 of my job at the Gates Foundation 3 00:00:04,000 --> 00:00:06,000 is that I get to travel to the developing world, 4 00:00:06,000 --> 00:00:08,000 and I do that quite regularly. 5 00:00:08,000 --> 00:00:10,000 And when I meet the mothers 6 00:00:10,000 --> 00:00:12,000 in so many of these remote places, 7 00:00:12,000 --> 00:00:14,000 I'm really struck by the things 8 00:00:14,000 --> 00:00:16,000 that we have in common. 9 00:00:16,000 --> 00:00:19,000 They want what we want for our children 10 00:00:19,000 --> 00:00:22,000 and that is for their children to grow up successful, 11 00:00:22,000 --> 00:00:25,000 to be healthy, and to have a successful life. 12 00:00:25,000 --> 00:00:28,000 But I also see lots of poverty, 13 00:00:28,000 --> 00:00:31,000 and it's quite jarring, 14 00:00:31,000 --> 00:00:33,000 both in the scale and the scope of it. 15 00:00:33,000 --> 00:00:36,000 My first trip in India, I was in a person's home 16 00:00:36,000 --> 00:00:38,000 where they had dirt floors, no running water, 17 00:00:38,000 --> 00:00:40,000 no electricity, 18 00:00:40,000 --> 00:00:43,000 and that's really what I see all over the world. 19 00:00:43,000 --> 00:00:46,000 So in short, I'm startled by all the things 20 00:00:46,000 --> 00:00:49,000 that they don't have. 21 00:00:49,000 --> 00:00:52,000 But I am surprised by one thing that they do have: 22 00:00:53,000 --> 00:00:55,000 Coca-Cola. 23 00:00:55,000 --> 00:00:57,000 Coke is everywhere. 24 00:00:57,000 --> 00:00:59,000 In fact, when I travel to the developing world, 25 00:00:59,000 --> 00:01:01,000 Coke feels ubiquitous. 26 00:01:01,000 --> 00:01:03,000 And so when I come back from these trips, 27 00:01:03,000 --> 00:01:05,000 and I'm thinking about development, 28 00:01:05,000 --> 00:01:07,000 and I'm flying home and I'm thinking, 29 00:01:07,000 --> 00:01:10,000 "We're trying to deliver condoms to people or vaccinations," 30 00:01:10,000 --> 00:01:13,000 you know, Coke's success kind of stops and makes you wonder: 31 00:01:13,000 --> 00:01:15,000 how is it that they can get Coke 32 00:01:15,000 --> 00:01:17,000 to these far-flung places? 33 00:01:17,000 --> 00:01:19,000 If they can do that, 34 00:01:19,000 --> 00:01:22,000 why can't governments and NGOs do the same thing? 35 00:01:22,000 --> 00:01:25,000 And I'm not the first person to ask this question. 36 00:01:25,000 --> 00:01:27,000 But I think, as a community, 37 00:01:27,000 --> 00:01:30,000 we still have a lot to learn. 38 00:01:30,000 --> 00:01:32,000 It's staggering, if you think about Coca-Cola. 39 00:01:32,000 --> 00:01:35,000 They sell 1.5 billion servings 40 00:01:35,000 --> 00:01:38,000 every single day. 41 00:01:38,000 --> 00:01:40,000 That's like every man, woman and child on the planet 42 00:01:40,000 --> 00:01:43,000 having a serving of Coke every week. 43 00:01:43,000 --> 00:01:46,000 So why does this matter? 44 00:01:46,000 --> 00:01:49,000 Well, if we're going to speed up the progress 45 00:01:49,000 --> 00:01:51,000 and go even faster 46 00:01:51,000 --> 00:01:54,000 on the set of Millennium Development Goals that we're set as a world, 47 00:01:54,000 --> 00:01:56,000 we need to learn from the innovators, 48 00:01:56,000 --> 00:01:58,000 and those innovators 49 00:01:58,000 --> 00:02:01,000 come from every single sector. 50 00:02:01,000 --> 00:02:03,000 I feel that, if we can understand 51 00:02:03,000 --> 00:02:06,000 what makes something like Coca-Cola ubiquitous, 52 00:02:06,000 --> 00:02:09,000 we can apply those lessons then for the public good. 53 00:02:11,000 --> 00:02:13,000 Coke's success is relevant, 54 00:02:13,000 --> 00:02:16,000 because if we can analyze it, learn from it, 55 00:02:16,000 --> 00:02:18,000 then we can save lives. 56 00:02:18,000 --> 00:02:21,000 So that's why I took a bit of time to study Coke. 57 00:02:22,000 --> 00:02:24,000 And I think there are really three things 58 00:02:24,000 --> 00:02:26,000 we can take away from Coca-Cola. 59 00:02:26,000 --> 00:02:28,000 They take real-time data 60 00:02:28,000 --> 00:02:31,000 and immediately feed it back into the product. 61 00:02:31,000 --> 00:02:34,000 They tap into local entrepreneurial talent, 62 00:02:34,000 --> 00:02:37,000 and they do incredible marketing. 63 00:02:37,000 --> 00:02:40,000 So let's start with the data. 64 00:02:40,000 --> 00:02:42,000 Now Coke has a very clear bottom line -- 65 00:02:42,000 --> 00:02:45,000 they report to a set of shareholders, they have to turn a profit. 66 00:02:45,000 --> 00:02:47,000 So they take the data, 67 00:02:47,000 --> 00:02:49,000 and they use it to measure progress. 68 00:02:49,000 --> 00:02:51,000 They have this very continuous feedback loop. 69 00:02:51,000 --> 00:02:53,000 They learn something, they put it back into the product, 70 00:02:53,000 --> 00:02:55,000 they put it back into the market. 71 00:02:55,000 --> 00:02:57,000 They have a whole team called "Knowledge and Insight." 72 00:02:57,000 --> 00:02:59,000 It's a lot like other consumer companies. 73 00:02:59,000 --> 00:03:01,000 So if you're running Namibia for Coca-Cola, 74 00:03:01,000 --> 00:03:03,000 and you have a 107 constituencies, 75 00:03:03,000 --> 00:03:06,000 you know where every can versus bottle 76 00:03:06,000 --> 00:03:08,000 of Sprite, Fanta or Coke was sold, 77 00:03:08,000 --> 00:03:10,000 whether it was a corner store, 78 00:03:10,000 --> 00:03:12,000 a supermarket or a pushcart. 79 00:03:12,000 --> 00:03:14,000 So if sales start to drop, 80 00:03:14,000 --> 00:03:16,000 then the person can identify the problem 81 00:03:16,000 --> 00:03:18,000 and address the issue. 82 00:03:19,000 --> 00:03:22,000 Let's contrast that for a minute to development. 83 00:03:23,000 --> 00:03:26,000 In development, the evaluation comes 84 00:03:26,000 --> 00:03:29,000 at the very end of the project. 85 00:03:29,000 --> 00:03:31,000 I've sat in a lot of those meetings, 86 00:03:31,000 --> 00:03:33,000 and by then, 87 00:03:33,000 --> 00:03:36,000 it is way too late to use the data. 88 00:03:36,000 --> 00:03:38,000 I had somebody from an NGO 89 00:03:38,000 --> 00:03:40,000 once describe it to me as bowling in the dark. 90 00:03:40,000 --> 00:03:43,000 They said, "You roll the ball, you hear some pins go down. 91 00:03:43,000 --> 00:03:46,000 It's dark, you can't see which one goes down until the lights come on, 92 00:03:46,000 --> 00:03:49,000 and then you an see your impact." 93 00:03:49,000 --> 00:03:51,000 Real-time data 94 00:03:51,000 --> 00:03:54,000 turns on the lights. 95 00:03:55,000 --> 00:03:57,000 So what's the second thing that Coke's good at? 96 00:03:57,000 --> 00:03:59,000 They're good at tapping into 97 00:03:59,000 --> 00:04:01,000 that local entrepreneurial talent. 98 00:04:01,000 --> 00:04:03,000 Coke's been in Africa since 1928, 99 00:04:03,000 --> 00:04:06,000 but most of the time they couldn't reach the distant markets, 100 00:04:06,000 --> 00:04:09,000 because they had a system that was a lot like in the developed world, 101 00:04:09,000 --> 00:04:12,000 which was a large truck rolling down the street. 102 00:04:12,000 --> 00:04:14,000 And in Africa, the remote places, 103 00:04:14,000 --> 00:04:16,000 it's hard to find a good road. 104 00:04:16,000 --> 00:04:18,000 But Coke noticed something -- 105 00:04:18,000 --> 00:04:21,000 they noticed that local people were taking the product, buying it in bulk 106 00:04:21,000 --> 00:04:24,000 and then reselling it in these hard-to-reach places. 107 00:04:25,000 --> 00:04:27,000 And so they took a bit of time to learn about that. 108 00:04:27,000 --> 00:04:29,000 And they decided in 1990 109 00:04:29,000 --> 00:04:31,000 that they wanted to start training the local entrepreneurs, 110 00:04:31,000 --> 00:04:33,000 giving them small loans. 111 00:04:33,000 --> 00:04:36,000 They set them up as what they called micro-distribution centers, 112 00:04:36,000 --> 00:04:39,000 and those local entrepreneurs then hire sales people, 113 00:04:39,000 --> 00:04:42,000 who go out with bicycles and pushcarts and wheelbarrows 114 00:04:42,000 --> 00:04:44,000 to sell the product. 115 00:04:44,000 --> 00:04:46,000 There are now some 3,000 of these centers 116 00:04:46,000 --> 00:04:49,000 employing about 15,000 people in Africa. 117 00:04:50,000 --> 00:04:52,000 In Tanzania and Uganda, 118 00:04:52,000 --> 00:04:54,000 they represent 90 percent 119 00:04:54,000 --> 00:04:56,000 of Coke's sales. 120 00:04:58,000 --> 00:05:00,000 Let's look at the development side. 121 00:05:00,000 --> 00:05:02,000 What is it that governments and NGOs 122 00:05:02,000 --> 00:05:04,000 can learn from Coke? 123 00:05:04,000 --> 00:05:06,000 Governments and NGOs 124 00:05:06,000 --> 00:05:09,000 need to tap into that local entrepreneurial talent as well, 125 00:05:09,000 --> 00:05:11,000 because the locals know how to reach 126 00:05:11,000 --> 00:05:14,000 the very hard-to-serve places, their neighbors, 127 00:05:14,000 --> 00:05:17,000 and they know what motivates them to make change. 128 00:05:18,000 --> 00:05:20,000 I think a great example of this 129 00:05:20,000 --> 00:05:23,000 is Ethiopia's new health extension program. 130 00:05:23,000 --> 00:05:25,000 The government noticed in Ethiopia 131 00:05:25,000 --> 00:05:28,000 that many of the people were so far away from a health clinic, 132 00:05:28,000 --> 00:05:31,000 they were over a day's travel away from a health clinic. 133 00:05:31,000 --> 00:05:34,000 So if you're in an emergency situation -- or if you're a mom about to deliver a baby -- 134 00:05:34,000 --> 00:05:37,000 forget it, to get to the health care center. 135 00:05:37,000 --> 00:05:39,000 They decided that wasn't good enough, 136 00:05:39,000 --> 00:05:41,000 so they went to India and studied the Indian state of Kerala 137 00:05:41,000 --> 00:05:43,000 that also had a system like this, 138 00:05:43,000 --> 00:05:45,000 and they adapted it for Ethiopia. 139 00:05:45,000 --> 00:05:47,000 And in 2003, the government of Ethiopia 140 00:05:47,000 --> 00:05:50,000 started this new system in their own country. 141 00:05:50,000 --> 00:05:53,000 They trained 35,000 health extension workers 142 00:05:53,000 --> 00:05:56,000 to deliver care directly to the people. 143 00:05:56,000 --> 00:05:58,000 In just five years, 144 00:05:58,000 --> 00:06:02,000 their ratio went from one worker for every 30,000 people 145 00:06:02,000 --> 00:06:05,000 to one worker for every 2,500 people. 146 00:06:07,000 --> 00:06:09,000 Now, think about 147 00:06:09,000 --> 00:06:12,000 how this can change people's lives. 148 00:06:12,000 --> 00:06:15,000 Health extension workers can help with so many things, 149 00:06:15,000 --> 00:06:18,000 whether it's family planning, prenatal care, 150 00:06:18,000 --> 00:06:20,000 immunizations for the children, 151 00:06:20,000 --> 00:06:23,000 or advising the woman to get to the facility on time 152 00:06:23,000 --> 00:06:25,000 for an on-time delivery. 153 00:06:26,000 --> 00:06:28,000 That is having real impact 154 00:06:28,000 --> 00:06:30,000 in a country like Ethiopia, 155 00:06:30,000 --> 00:06:33,000 and it's why you see their child mortality numbers 156 00:06:33,000 --> 00:06:35,000 coming down 25 percent 157 00:06:35,000 --> 00:06:38,000 from 2000 to 2008. 158 00:06:38,000 --> 00:06:41,000 In Ethiopia, there are hundreds of thousands of children living 159 00:06:41,000 --> 00:06:44,000 because of this health extension worker program. 160 00:06:45,000 --> 00:06:47,000 So what's the next step for Ethiopia? 161 00:06:47,000 --> 00:06:49,000 Well, they're already starting talk about this. 162 00:06:49,000 --> 00:06:52,000 They're starting to talk about, "How do you have the health community workers 163 00:06:52,000 --> 00:06:54,000 generate their own ideas? 164 00:06:54,000 --> 00:06:56,000 How do you incent them based on the impact that they're getting 165 00:06:56,000 --> 00:06:59,000 out in those remote villages?" 166 00:06:59,000 --> 00:07:02,000 That's how you tap into local entrepreneurial talent 167 00:07:02,000 --> 00:07:05,000 and you unlock people's potential. 168 00:07:07,000 --> 00:07:09,000 The third component of Coke's success 169 00:07:09,000 --> 00:07:11,000 is marketing. 170 00:07:11,000 --> 00:07:13,000 Ultimately, Coke's success 171 00:07:13,000 --> 00:07:15,000 depends on one crucial fact 172 00:07:15,000 --> 00:07:17,000 and that is that people want 173 00:07:17,000 --> 00:07:19,000 a Coca-Cola. 174 00:07:19,000 --> 00:07:21,000 Now the reason these micro-entrepreneurs 175 00:07:21,000 --> 00:07:23,000 can sell or make a profit 176 00:07:23,000 --> 00:07:26,000 is they have to sell every single bottle in their pushcart or their wheelbarrow. 177 00:07:26,000 --> 00:07:29,000 So, they rely on Coca-Cola 178 00:07:29,000 --> 00:07:31,000 in terms of its marketing, 179 00:07:31,000 --> 00:07:34,000 and what's the secret to their marketing? 180 00:07:34,000 --> 00:07:36,000 Well, it's aspirational. 181 00:07:36,000 --> 00:07:38,000 It is associated that product 182 00:07:38,000 --> 00:07:41,000 with a kind of life that people want to live. 183 00:07:41,000 --> 00:07:43,000 So even though it's a global company, 184 00:07:43,000 --> 00:07:46,000 they take a very local approach. 185 00:07:46,000 --> 00:07:48,000 Coke's global campaign slogan 186 00:07:48,000 --> 00:07:50,000 is "Open Happiness." 187 00:07:50,000 --> 00:07:52,000 But they localize it. 188 00:07:52,000 --> 00:07:54,000 And they don't just guess what makes people happy; 189 00:07:54,000 --> 00:07:56,000 they go to places like Latin America 190 00:07:56,000 --> 00:07:58,000 and they realize that happiness there 191 00:07:58,000 --> 00:08:00,000 is associated with family life. 192 00:08:00,000 --> 00:08:02,000 And in South Africa, 193 00:08:02,000 --> 00:08:04,000 they associate happiness 194 00:08:04,000 --> 00:08:07,000 with seriti or community respect. 195 00:08:08,000 --> 00:08:11,000 Now, that played itself out in the World Cup campaign. 196 00:08:11,000 --> 00:08:13,000 Let's listen to this song that Coke created for it, 197 00:08:13,000 --> 00:08:16,000 "Wavin' Flag" by a Somali hip hop artist. 198 00:08:17,000 --> 00:08:20,000 (Video) K'Naan: ♫ Oh oh oh oh oh o-oh ♫ 199 00:08:20,000 --> 00:08:24,000 ♫ Oh oh oh oh oh oh oh oh oh oh ♫ 200 00:08:24,000 --> 00:08:26,000 ♫ Oh oh oh oh oh o-oh ♫ 201 00:08:26,000 --> 00:08:30,000 ♫ Oh oh oh oh oh oh oh oh o-oh ♫ 202 00:08:30,000 --> 00:08:33,000 ♫Give you freedom, give you fire♫ 203 00:08:33,000 --> 00:08:36,000 ♫ Give you reason, take you higher ♫ 204 00:08:36,000 --> 00:08:39,000 ♫ See the champions take the field now ♫ 205 00:08:39,000 --> 00:08:43,000 ♫ You define us, make us feel proud ♫ 206 00:08:43,000 --> 00:08:46,000 ♫ In the streets our heads are lifted ♫ 207 00:08:46,000 --> 00:08:49,000 ♫ As we lose our inhibition ♫ 208 00:08:49,000 --> 00:08:52,000 ♫ Celebration, it's around us ♫ 209 00:08:52,000 --> 00:08:55,000 ♫ Every nation, all around us ♫ 210 00:08:56,000 --> 00:08:58,000 Melinda French Gates: It feels pretty good, right? 211 00:08:58,000 --> 00:09:00,000 Well, they didn't stop there -- 212 00:09:00,000 --> 00:09:02,000 they localized it into 18 different languages. 213 00:09:02,000 --> 00:09:04,000 And it went number one on the pop chart 214 00:09:04,000 --> 00:09:07,000 in 17 countries. 215 00:09:07,000 --> 00:09:10,000 It reminds me of a song that I remember from my childhood, 216 00:09:10,000 --> 00:09:13,000 "I'd Like to Teach the World to Sing," 217 00:09:13,000 --> 00:09:16,000 that also went number one on the pop charts. 218 00:09:16,000 --> 00:09:19,000 Both songs have something in common: 219 00:09:19,000 --> 00:09:21,000 that same appeal 220 00:09:21,000 --> 00:09:24,000 of celebration and unity. 221 00:09:25,000 --> 00:09:28,000 So how does health and development market? 222 00:09:28,000 --> 00:09:31,000 Well, it's based on avoidance, 223 00:09:31,000 --> 00:09:33,000 not aspirations. 224 00:09:33,000 --> 00:09:35,000 I'm sure you've heard some of these messages. 225 00:09:35,000 --> 00:09:38,000 "Use a condom, don't get AIDS." 226 00:09:38,000 --> 00:09:41,000 "Wash you hands, you might not get diarrhea." 227 00:09:41,000 --> 00:09:44,000 It doesn't sound anything like "Wavin' Flag" to me. 228 00:09:46,000 --> 00:09:48,000 And I think we make a fundamental mistake -- 229 00:09:48,000 --> 00:09:50,000 we make an assumption, 230 00:09:50,000 --> 00:09:52,000 that we think that, if people need something, 231 00:09:52,000 --> 00:09:55,000 we don't have to make them want that. 232 00:09:55,000 --> 00:09:57,000 And I think that's a mistake. 233 00:09:57,000 --> 00:10:00,000 And there's some indications around the world that this is starting to change. 234 00:10:00,000 --> 00:10:03,000 One example is sanitation. 235 00:10:03,000 --> 00:10:05,000 We know that a million and a half children 236 00:10:05,000 --> 00:10:07,000 die a year from diarrhea 237 00:10:07,000 --> 00:10:10,000 and a lot of it is because of open defecation. 238 00:10:10,000 --> 00:10:13,000 But there's a solution: you build a toilet. 239 00:10:13,000 --> 00:10:16,000 But what we're finding around the world, over and over again, 240 00:10:16,000 --> 00:10:19,000 is, if you build a toilet and you leave it there, 241 00:10:19,000 --> 00:10:21,000 it doesn't get used. 242 00:10:21,000 --> 00:10:23,000 People reuse it for a slab for their home. 243 00:10:23,000 --> 00:10:25,000 They sometimes store grain in it. 244 00:10:25,000 --> 00:10:27,000 I've even seen it used for a chicken coop. 245 00:10:27,000 --> 00:10:29,000 (Laughter) 246 00:10:29,000 --> 00:10:31,000 But what does marketing really entail 247 00:10:31,000 --> 00:10:34,000 that would make a sanitation solution get a result in diarrhea? 248 00:10:34,000 --> 00:10:36,000 Well, you work with the community. 249 00:10:36,000 --> 00:10:38,000 You start to talk to them about why open defecation 250 00:10:38,000 --> 00:10:40,000 is something that shouldn't be done in the village, 251 00:10:40,000 --> 00:10:42,000 and they agree to that. 252 00:10:42,000 --> 00:10:45,000 But then you take the toilet and you position it 253 00:10:45,000 --> 00:10:48,000 as a modern, trendy convenience. 254 00:10:48,000 --> 00:10:50,000 One state in Northern India has gone so far 255 00:10:50,000 --> 00:10:53,000 as to link toilets to courtship. 256 00:10:53,000 --> 00:10:56,000 And it works -- look at these headlines. 257 00:10:56,000 --> 00:11:00,000 (Laughter) 258 00:11:00,000 --> 00:11:02,000 I'm not kidding. 259 00:11:02,000 --> 00:11:04,000 Women are refusing to marry men without toilets. 260 00:11:04,000 --> 00:11:07,000 No loo, no "I do." 261 00:11:07,000 --> 00:11:09,000 (Laughter) 262 00:11:09,000 --> 00:11:12,000 Now, it's not just a funny headline -- 263 00:11:12,000 --> 00:11:15,000 it's innovative. It's an innovative marketing campaign. 264 00:11:15,000 --> 00:11:17,000 But more importantly, 265 00:11:17,000 --> 00:11:19,000 it saves lives. 266 00:11:20,000 --> 00:11:22,000 Take a look at this -- 267 00:11:22,000 --> 00:11:24,000 this is a room full of young men 268 00:11:24,000 --> 00:11:26,000 and my husband, Bill. 269 00:11:26,000 --> 00:11:29,000 And can you guess what the young men are waiting for? 270 00:11:30,000 --> 00:11:33,000 They're waiting to be circumcised. 271 00:11:33,000 --> 00:11:35,000 Can you you believe that? 272 00:11:35,000 --> 00:11:38,000 We know that circumcision reduces HIV infection 273 00:11:38,000 --> 00:11:40,000 by 60 percent in men. 274 00:11:40,000 --> 00:11:43,000 And when we first heard this result inside the Foundation, 275 00:11:43,000 --> 00:11:45,000 I have to admit, Bill and I were scratching our heads a little bit 276 00:11:45,000 --> 00:11:48,000 and we were saying, "But who's going to volunteer for this procedure?" 277 00:11:48,000 --> 00:11:50,000 But it turns out the men do, 278 00:11:50,000 --> 00:11:52,000 because they're hearing from their girlfriends 279 00:11:52,000 --> 00:11:54,000 that they prefer it, 280 00:11:54,000 --> 00:11:57,000 and the men also believe it improves their sex life. 281 00:11:58,000 --> 00:12:01,000 So if we can start to understand 282 00:12:01,000 --> 00:12:03,000 what people really want 283 00:12:03,000 --> 00:12:05,000 in health and development, 284 00:12:05,000 --> 00:12:07,000 we can change communities 285 00:12:07,000 --> 00:12:10,000 and we can change whole nations. 286 00:12:11,000 --> 00:12:14,000 Well, why is all of this so important? 287 00:12:14,000 --> 00:12:17,000 So let's talk about what happens when this all comes together, 288 00:12:17,000 --> 00:12:19,000 when you tie the three things together. 289 00:12:19,000 --> 00:12:22,000 And polio, I think, is one of the most powerful examples. 290 00:12:23,000 --> 00:12:27,000 We've seen a 99 percent reduction in polio in 20 years. 291 00:12:27,000 --> 00:12:29,000 So if you look back to 1988, 292 00:12:29,000 --> 00:12:32,000 there are about 350,000 cases of polio 293 00:12:32,000 --> 00:12:34,000 on the planet that year. 294 00:12:34,000 --> 00:12:37,000 In 2009, we're down to 1,600 cases. 295 00:12:37,000 --> 00:12:40,000 Well how did that happen? 296 00:12:40,000 --> 00:12:42,000 Let's look at a country like India. 297 00:12:42,000 --> 00:12:45,000 They have over a billion people in this country, 298 00:12:45,000 --> 00:12:48,000 but they have 35,000 local doctors 299 00:12:48,000 --> 00:12:50,000 who report paralysis, 300 00:12:50,000 --> 00:12:53,000 and clinicians, a huge reporting system in chemists. 301 00:12:53,000 --> 00:12:56,000 They have two and a half million vaccinators. 302 00:12:57,000 --> 00:12:59,000 But let me make the story a little bit more concrete for you. 303 00:12:59,000 --> 00:13:01,000 Let me tell you the story of Shriram, 304 00:13:01,000 --> 00:13:03,000 an 18 month boy in Bihar, 305 00:13:03,000 --> 00:13:05,000 a northern state in India. 306 00:13:05,000 --> 00:13:08,000 This year on August 8th, he felt paralysis 307 00:13:08,000 --> 00:13:11,000 and on the 13th, his parents took him to the doctor. 308 00:13:12,000 --> 00:13:14,000 On August 14th and 15th, they took a stool sample, 309 00:13:14,000 --> 00:13:16,000 and by the 25th of August, 310 00:13:16,000 --> 00:13:19,000 it was confirmed he had Type 1 polio. 311 00:13:19,000 --> 00:13:22,000 By August 30th, a genetic test was done, 312 00:13:22,000 --> 00:13:25,000 and we knew what strain of polio Shriram had. 313 00:13:25,000 --> 00:13:27,000 Now it could have come from one of two places. 314 00:13:27,000 --> 00:13:30,000 It could have come from Nepal, just to the north, across the border, 315 00:13:30,000 --> 00:13:33,000 or from Jharkhand, a state just to the south. 316 00:13:33,000 --> 00:13:36,000 Luckily, the genetic testing proved 317 00:13:36,000 --> 00:13:38,000 that, in fact, this strand came north, 318 00:13:38,000 --> 00:13:40,000 because, had it come from the south, 319 00:13:40,000 --> 00:13:42,000 it would have had a much wider impact in terms of transmission. 320 00:13:42,000 --> 00:13:44,000 So many more people would have been affected. 321 00:13:44,000 --> 00:13:46,000 So what's the endgame? 322 00:13:46,000 --> 00:13:49,000 Well on September 4th, there was a huge mop-up campaign, 323 00:13:49,000 --> 00:13:51,000 which is what you do in polio. 324 00:13:51,000 --> 00:13:53,000 They went out and where Shriram lives, 325 00:13:53,000 --> 00:13:55,000 they vaccinated two million people. 326 00:13:55,000 --> 00:13:57,000 So in less than a month, 327 00:13:57,000 --> 00:13:59,000 we went from one case of paralysis 328 00:13:59,000 --> 00:14:02,000 to a targeted vaccination program. 329 00:14:02,000 --> 00:14:05,000 And I'm happy to say only one other person in that area got polio. 330 00:14:05,000 --> 00:14:07,000 That's how you keep 331 00:14:07,000 --> 00:14:09,000 a huge outbreak from spreading, 332 00:14:09,000 --> 00:14:11,000 and it shows what can happen 333 00:14:11,000 --> 00:14:14,000 when local people have the data in their hands; 334 00:14:14,000 --> 00:14:17,000 they can save lives. 335 00:14:17,000 --> 00:14:20,000 Now one of the challenges in polio, still, is marketing, 336 00:14:20,000 --> 00:14:22,000 but it might not be what you think. 337 00:14:22,000 --> 00:14:24,000 It's not the marketing on the ground. 338 00:14:24,000 --> 00:14:26,000 It's not telling the parents, 339 00:14:26,000 --> 00:14:28,000 "If you see paralysis, take your child to the doctor 340 00:14:28,000 --> 00:14:30,000 or get your child vaccinated." 341 00:14:30,000 --> 00:14:33,000 We have a problem with marketing in the donor community. 342 00:14:33,000 --> 00:14:35,000 The G8 nations have been incredibly generous on polio 343 00:14:35,000 --> 00:14:37,000 over the last 20 years, 344 00:14:37,000 --> 00:14:40,000 but we're starting to have something called polio fatigue 345 00:14:40,000 --> 00:14:42,000 and that is that the donor nations 346 00:14:42,000 --> 00:14:44,000 aren't willing to fund polio any longer. 347 00:14:44,000 --> 00:14:47,000 So by next summer, we're sighted to run out of money on polio. 348 00:14:47,000 --> 00:14:50,000 So we are 99 percent 349 00:14:50,000 --> 00:14:52,000 of the way there on this goal 350 00:14:52,000 --> 00:14:55,000 and we're about to run short of money. 351 00:14:55,000 --> 00:14:58,000 And I think that if the marketing were more aspirational, 352 00:14:58,000 --> 00:15:00,000 if we could focus as a community 353 00:15:00,000 --> 00:15:02,000 on how far we've come 354 00:15:02,000 --> 00:15:04,000 and how amazing it would be 355 00:15:04,000 --> 00:15:06,000 to eradicate this disease, 356 00:15:06,000 --> 00:15:08,000 we could put polio fatigue 357 00:15:08,000 --> 00:15:10,000 and polio behind us. 358 00:15:10,000 --> 00:15:12,000 And if we could do that, 359 00:15:12,000 --> 00:15:14,000 we could stop vaccinating everybody, worldwide, 360 00:15:14,000 --> 00:15:17,000 in all of our countries for polio. 361 00:15:17,000 --> 00:15:19,000 And it would only be the second disease ever 362 00:15:19,000 --> 00:15:22,000 wiped off the face of the planet. 363 00:15:22,000 --> 00:15:24,000 And we are so close. 364 00:15:24,000 --> 00:15:27,000 And this victory is so possible. 365 00:15:28,000 --> 00:15:31,000 So if Coke's marketers came to me 366 00:15:31,000 --> 00:15:34,000 and asked me to define happiness, 367 00:15:35,000 --> 00:15:37,000 I'd say my vision of happiness 368 00:15:37,000 --> 00:15:40,000 is a mother holding healthy baby 369 00:15:40,000 --> 00:15:42,000 in her arms. 370 00:15:42,000 --> 00:15:45,000 To me, that is deep happiness. 371 00:15:47,000 --> 00:15:50,000 And so if we can learn lessons from the innovators in every sector, 372 00:15:50,000 --> 00:15:53,000 then in the future we make together, 373 00:15:53,000 --> 00:15:55,000 that happiness 374 00:15:55,000 --> 00:15:57,000 can be just as ubiquitous 375 00:15:57,000 --> 00:15:59,000 as Coca-Cola. 376 00:15:59,000 --> 00:16:01,000 Thank you. 377 00:16:01,000 --> 00:16:07,000 (Applause)