1 00:00:00,000 --> 00:00:02,000 I told you three things last year. 2 00:00:02,000 --> 00:00:05,000 I told you that the statistics of the world 3 00:00:05,000 --> 00:00:08,000 have not been made properly available. 4 00:00:08,000 --> 00:00:10,000 Because of that, we still have the old mindset 5 00:00:10,000 --> 00:00:13,000 of developing in industrialized countries, which is wrong. 6 00:00:14,000 --> 00:00:18,000 And that animated graphics can make a difference. 7 00:00:19,000 --> 00:00:21,000 Things are changing 8 00:00:21,000 --> 00:00:25,000 and today, on the United Nations Statistic Division Home Page, 9 00:00:25,000 --> 00:00:28,000 it says, by first of May, full access to the databases. 10 00:00:30,000 --> 00:00:33,000 (Applause) 11 00:00:33,000 --> 00:00:37,000 And if I could share the image with you on the screen. 12 00:00:38,000 --> 00:00:39,000 So three things have happened. 13 00:00:39,000 --> 00:00:42,000 U.N. opened their statistic databases, 14 00:00:42,000 --> 00:00:46,000 and we have a new version of the software 15 00:00:46,000 --> 00:00:48,000 up working as a beta on the net, 16 00:00:48,000 --> 00:00:50,000 so you don't have to download it any longer. 17 00:00:51,000 --> 00:00:53,000 And let me repeat what you saw last year. 18 00:00:53,000 --> 00:00:54,000 The bubbles are the countries. 19 00:00:54,000 --> 00:00:58,000 Here you have the fertility rate -- the number of children per woman -- 20 00:00:58,000 --> 00:01:01,000 and there you have the length of life in years. 21 00:01:02,000 --> 00:01:05,000 This is 1950 -- those were the industrialized countries, 22 00:01:05,000 --> 00:01:06,000 those were developing countries. 23 00:01:06,000 --> 00:01:08,000 At that time there was a "we" and "them." 24 00:01:08,000 --> 00:01:10,000 There was a huge difference in the world. 25 00:01:10,000 --> 00:01:14,000 But then it changed, and it went on quite well. 26 00:01:14,000 --> 00:01:15,000 And this is what happens. 27 00:01:16,000 --> 00:01:19,000 You can see how China is the red, big bubble. 28 00:01:19,000 --> 00:01:20,000 The blue there is India. 29 00:01:20,000 --> 00:01:23,000 And they go over all this -- I'm going to try to be 30 00:01:23,000 --> 00:01:25,000 a little more serious this year in showing you 31 00:01:25,000 --> 00:01:27,000 how things really changed. 32 00:01:28,000 --> 00:01:31,000 And it's Africa that stands out as the problem down here, doesn't it? 33 00:01:31,000 --> 00:01:34,000 Large families still, and the HIV epidemic 34 00:01:34,000 --> 00:01:36,000 brought down the countries like this. 35 00:01:36,000 --> 00:01:39,000 This is more or less what we saw last year, 36 00:01:39,000 --> 00:01:41,000 and this is how it will go on into the future. 37 00:01:42,000 --> 00:01:44,000 And I will talk on, is this possible? 38 00:01:44,000 --> 00:01:47,000 Because you see now, I presented statistics that don't exist. 39 00:01:48,000 --> 00:01:50,000 Because this is where we are. 40 00:01:50,000 --> 00:01:53,000 Will it be possible that this will happen? 41 00:01:54,000 --> 00:01:56,000 I cover my lifetime here, you know? 42 00:01:56,000 --> 00:01:58,000 I expect to live 100 years. 43 00:01:58,000 --> 00:02:00,000 And this is where we are today. 44 00:02:00,000 --> 00:02:07,000 Now could we look here instead at the economic situation in the world? 45 00:02:08,000 --> 00:02:13,000 And I would like to show that against child survival. 46 00:02:13,000 --> 00:02:14,000 We'll swap the axis. 47 00:02:15,000 --> 00:02:19,000 Here you have child mortality -- that is, survival -- 48 00:02:19,000 --> 00:02:21,000 four kids dying there, 200 dying there. 49 00:02:22,000 --> 00:02:24,000 And this is GDP per capita on this axis. 50 00:02:25,000 --> 00:02:28,000 And this was 2007. 51 00:02:28,000 --> 00:02:32,000 And if I go back in time, I've added some historical statistics -- 52 00:02:32,000 --> 00:02:38,000 here we go, here we go, here we go -- not so much statistics 100 years ago. 53 00:02:38,000 --> 00:02:40,000 Some countries still had statistics. 54 00:02:40,000 --> 00:02:42,000 We are looking down in the archive, 55 00:02:42,000 --> 00:02:46,000 and when we are down into 1820, 56 00:02:46,000 --> 00:02:50,000 there is only Austria and Sweden that can produce numbers. 57 00:02:50,000 --> 00:02:53,000 (Laughter) 58 00:02:53,000 --> 00:02:57,000 But they were down here. They had 1,000 dollars per person per year. 59 00:02:57,000 --> 00:03:00,000 And they lost one-fifth of their kids before their first birthday. 60 00:03:01,000 --> 00:03:04,000 So this is what happens in the world, if we play the entire world. 61 00:03:04,000 --> 00:03:07,000 How they got slowly richer and richer, 62 00:03:07,000 --> 00:03:08,000 and they add statistics. 63 00:03:08,000 --> 00:03:10,000 Isn't it beautiful when they get statistics? 64 00:03:10,000 --> 00:03:12,000 You see the importance of that? 65 00:03:12,000 --> 00:03:14,000 And here, children don't live longer. 66 00:03:14,000 --> 00:03:18,000 The last century, 1870, was bad for the kids in Europe, 67 00:03:18,000 --> 00:03:20,000 because most of this statistics is Europe. 68 00:03:20,000 --> 00:03:23,000 It was only by the turn of the century 69 00:03:23,000 --> 00:03:26,000 that more than 90 percent of the children survived their first year. 70 00:03:26,000 --> 00:03:29,000 This is India coming up, with the first data from India. 71 00:03:29,000 --> 00:03:34,000 And this is the United States moving away here, earning more money. 72 00:03:34,000 --> 00:03:39,000 And we will soon see China coming up in the very far end corner here. 73 00:03:39,000 --> 00:03:41,000 And it moves up with Mao Tse-Tung getting health, 74 00:03:41,000 --> 00:03:42,000 not getting so rich. 75 00:03:42,000 --> 00:03:45,000 There he died, then Deng Xiaoping brings money. 76 00:03:45,000 --> 00:03:46,000 It moves this way over here. 77 00:03:47,000 --> 00:03:49,000 And the bubbles keep moving up there, 78 00:03:49,000 --> 00:03:51,000 and this is what the world looks like today. 79 00:03:51,000 --> 00:03:57,000 (Applause) 80 00:03:57,000 --> 00:04:00,000 Let us have a look at the United States. 81 00:04:00,000 --> 00:04:03,000 We have a function here -- I can tell the world, "Stay where you are." 82 00:04:04,000 --> 00:04:07,000 And I take the United States -- we still want to see the background -- 83 00:04:07,000 --> 00:04:10,000 I put them up like this, and now we go backwards. 84 00:04:10,000 --> 00:04:13,000 And we can see that the United States 85 00:04:13,000 --> 00:04:16,000 goes to the right of the mainstream. 86 00:04:16,000 --> 00:04:18,000 They are on the money side all the time. 87 00:04:19,000 --> 00:04:24,000 And down in 1915, the United States was a neighbor of India -- 88 00:04:25,000 --> 00:04:27,000 present, contemporary India. 89 00:04:27,000 --> 00:04:29,000 And that means United States was richer, 90 00:04:29,000 --> 00:04:33,000 but lost more kids than India is doing today, proportionally. 91 00:04:34,000 --> 00:04:37,000 And look here -- compare to the Philippines of today. 92 00:04:37,000 --> 00:04:40,000 The Philippines of today has almost the same economy 93 00:04:41,000 --> 00:04:43,000 as the United States during the First World War. 94 00:04:43,000 --> 00:04:47,000 But we have to bring United States forward quite a while 95 00:04:47,000 --> 00:04:50,000 to find the same health of the United States 96 00:04:50,000 --> 00:04:51,000 as we have in the Philippines. 97 00:04:52,000 --> 00:04:55,000 About 1957 here, the health of the United States 98 00:04:55,000 --> 00:04:57,000 is the same as the Philippines. 99 00:04:57,000 --> 00:05:00,000 And this is the drama of this world which many call globalized, 100 00:05:00,000 --> 00:05:03,000 is that Asia, Arabic countries, Latin America, 101 00:05:03,000 --> 00:05:08,000 are much more ahead in being healthy, educated, 102 00:05:08,000 --> 00:05:11,000 having human resources than they are economically. 103 00:05:11,000 --> 00:05:13,000 There's a discrepancy in what's happening today 104 00:05:13,000 --> 00:05:15,000 in the emerging economies. 105 00:05:15,000 --> 00:05:19,000 There now, social benefits, social progress, 106 00:05:19,000 --> 00:05:22,000 are going ahead of economical progress. 107 00:05:22,000 --> 00:05:28,000 And 1957 -- the United States had the same economy as Chile has today. 108 00:05:29,000 --> 00:05:32,000 And how long do we have to bring United States 109 00:05:32,000 --> 00:05:34,000 to get the same health as Chile has today? 110 00:05:35,000 --> 00:05:40,000 I think we have to go, there -- we have 2001, or 2002 -- 111 00:05:40,000 --> 00:05:42,000 the United States has the same health as Chile. 112 00:05:42,000 --> 00:05:43,000 Chile's catching up! 113 00:05:44,000 --> 00:05:46,000 Within some years Chile may have better child survival 114 00:05:46,000 --> 00:05:48,000 than the United States. 115 00:05:48,000 --> 00:05:51,000 This is really a change, that you have this lag 116 00:05:51,000 --> 00:05:56,000 of more or less 30, 40 years' difference on the health. 117 00:05:56,000 --> 00:05:58,000 And behind the health is the educational level. 118 00:05:58,000 --> 00:06:00,000 And there's a lot of infrastructure things, 119 00:06:00,000 --> 00:06:03,000 and general human resources are there. 120 00:06:03,000 --> 00:06:06,000 Now we can take away this -- 121 00:06:06,000 --> 00:06:10,000 and I would like to show you the rate of speed, 122 00:06:10,000 --> 00:06:13,000 the rate of change, how fast they have gone. 123 00:06:13,000 --> 00:06:20,000 And we go back to 1920, and I want to look at Japan. 124 00:06:21,000 --> 00:06:24,000 And I want to look at Sweden and the United States. 125 00:06:24,000 --> 00:06:26,000 And I'm going to stage a race here 126 00:06:26,000 --> 00:06:29,000 between this sort of yellowish Ford here 127 00:06:29,000 --> 00:06:31,000 and the red Toyota down there, 128 00:06:31,000 --> 00:06:33,000 and the brownish Volvo. 129 00:06:33,000 --> 00:06:35,000 (Laughter) 130 00:06:35,000 --> 00:06:37,000 And here we go. Here we go. 131 00:06:37,000 --> 00:06:40,000 The Toyota has a very bad start down here, you can see, 132 00:06:40,000 --> 00:06:43,000 and the United States Ford is going off-road there. 133 00:06:43,000 --> 00:06:44,000 And the Volvo is doing quite fine. 134 00:06:44,000 --> 00:06:46,000 This is the war. The Toyota got off track, and now 135 00:06:46,000 --> 00:06:49,000 the Toyota is coming on the healthier side of Sweden -- 136 00:06:49,000 --> 00:06:50,000 can you see that? 137 00:06:50,000 --> 00:06:51,000 And they are taking over Sweden, 138 00:06:51,000 --> 00:06:53,000 and they are now healthier than Sweden. 139 00:06:53,000 --> 00:06:55,000 That's the part where I sold the Volvo and bought the Toyota. 140 00:06:55,000 --> 00:06:58,000 (Laughter) 141 00:06:58,000 --> 00:07:02,000 And now we can see that the rate of change was enormous in Japan. 142 00:07:02,000 --> 00:07:04,000 They really caught up. 143 00:07:04,000 --> 00:07:06,000 And this changes gradually. 144 00:07:06,000 --> 00:07:09,000 We have to look over generations to understand it. 145 00:07:09,000 --> 00:07:14,000 And let me show you my own sort of family history -- 146 00:07:14,000 --> 00:07:16,000 we made these graphs here. 147 00:07:16,000 --> 00:07:20,000 And this is the same thing, money down there, and health, you know? 148 00:07:20,000 --> 00:07:22,000 And this is my family. 149 00:07:23,000 --> 00:07:27,000 This is Sweden, 1830, when my great-great-grandma was born. 150 00:07:28,000 --> 00:07:30,000 Sweden was like Sierra Leone today. 151 00:07:31,000 --> 00:07:34,000 And this is when great-grandma was born, 1863. 152 00:07:35,000 --> 00:07:37,000 And Sweden was like Mozambique. 153 00:07:37,000 --> 00:07:39,000 And this is when my grandma was born, 1891. 154 00:07:39,000 --> 00:07:41,000 She took care of me as a child, 155 00:07:41,000 --> 00:07:43,000 so I'm not talking about statistic now -- 156 00:07:43,000 --> 00:07:45,000 now it's oral history in my family. 157 00:07:46,000 --> 00:07:47,000 That's when I believe statistics, 158 00:07:47,000 --> 00:07:50,000 when it's grandma-verified statistics. 159 00:07:50,000 --> 00:07:53,000 (Laughter) 160 00:07:53,000 --> 00:07:56,000 I think it's the best way of verifying historical statistics. 161 00:07:56,000 --> 00:07:57,000 Sweden was like Ghana. 162 00:07:57,000 --> 00:08:00,000 It's interesting to see the enormous diversity 163 00:08:00,000 --> 00:08:02,000 within sub-Saharan Africa. 164 00:08:03,000 --> 00:08:05,000 I told you last year, I'll tell you again, 165 00:08:05,000 --> 00:08:08,000 my mother was born in Egypt, and I -- who am I? 166 00:08:08,000 --> 00:08:09,000 I'm the Mexican in the family. 167 00:08:10,000 --> 00:08:12,000 And my daughter, she was born in Chile, 168 00:08:12,000 --> 00:08:14,000 and the grand-daughter was born in Singapore, 169 00:08:14,000 --> 00:08:16,000 now the healthiest country on this Earth. 170 00:08:16,000 --> 00:08:18,000 It bypassed Sweden about two to three years ago, 171 00:08:18,000 --> 00:08:20,000 with better child survival. 172 00:08:20,000 --> 00:08:21,000 But they're very small, you know? 173 00:08:21,000 --> 00:08:23,000 They're so close to the hospital we can never 174 00:08:23,000 --> 00:08:24,000 beat them out in these forests. 175 00:08:24,000 --> 00:08:27,000 (Laughter) 176 00:08:27,000 --> 00:08:28,000 But homage to Singapore. 177 00:08:28,000 --> 00:08:30,000 Singapore is the best one. 178 00:08:30,000 --> 00:08:34,000 Now this looks also like a very good story. 179 00:08:34,000 --> 00:08:38,000 But it's not really that easy, that it's all a good story. 180 00:08:38,000 --> 00:08:41,000 Because I have to show you one of the other facilities. 181 00:08:41,000 --> 00:08:46,000 We can also make the color here represent the variable -- 182 00:08:46,000 --> 00:08:47,000 and what am I choosing here? 183 00:08:47,000 --> 00:08:51,000 Carbon-dioxide emission, metric ton per capita. 184 00:08:52,000 --> 00:08:57,000 This is 1962, and United States was emitting 16 tons per person. 185 00:08:57,000 --> 00:08:59,000 And China was emitting 0.6, 186 00:08:59,000 --> 00:09:03,000 and India was emitting 0.32 tons per capita. 187 00:09:03,000 --> 00:09:06,000 And what happens when we moved on? 188 00:09:06,000 --> 00:09:08,000 Well, you see the nice story of getting richer 189 00:09:08,000 --> 00:09:09,000 and getting healthier -- 190 00:09:09,000 --> 00:09:14,000 everyone did it at the cost of emission of carbon dioxide. 191 00:09:14,000 --> 00:09:17,000 There is no one who has done it so far. 192 00:09:17,000 --> 00:09:20,000 And we don't have all the updated data 193 00:09:20,000 --> 00:09:23,000 any longer, because this is really hot data today. 194 00:09:23,000 --> 00:09:25,000 And there we are, 2001. 195 00:09:26,000 --> 00:09:30,000 And in the discussion I attended with global leaders, you know, 196 00:09:30,000 --> 00:09:34,000 many say now the problem is that the emerging economies, 197 00:09:34,000 --> 00:09:37,000 they are getting out too much carbon dioxide. 198 00:09:37,000 --> 00:09:39,000 The Minister of the Environment of India said, 199 00:09:39,000 --> 00:09:42,000 "Well, you were the one who caused the problem." 200 00:09:42,000 --> 00:09:45,000 The OECD countries -- the high-income countries -- 201 00:09:45,000 --> 00:09:47,000 they were the ones who caused the climate change. 202 00:09:48,000 --> 00:09:50,000 "But we forgive you, because you didn't know it. 203 00:09:50,000 --> 00:09:53,000 But from now on, we count per capita. 204 00:09:53,000 --> 00:09:55,000 From now on we count per capita. 205 00:09:55,000 --> 00:09:58,000 And everyone is responsible for the per capita emission." 206 00:09:58,000 --> 00:10:01,000 This really shows you, we have not seen good economic 207 00:10:01,000 --> 00:10:03,000 and health progress anywhere in the world 208 00:10:03,000 --> 00:10:07,000 without destroying the climate. 209 00:10:08,000 --> 00:10:10,000 And this is really what has to be changed. 210 00:10:11,000 --> 00:10:14,000 I've been criticized for showing you a too positive image of the world, 211 00:10:14,000 --> 00:10:16,000 but I don't think it's like this. 212 00:10:16,000 --> 00:10:18,000 The world is quite a messy place. 213 00:10:18,000 --> 00:10:20,000 This we can call Dollar Street. 214 00:10:20,000 --> 00:10:22,000 Everyone lives on this street here. 215 00:10:22,000 --> 00:10:25,000 What they earn here -- what number they live on -- 216 00:10:25,000 --> 00:10:26,000 is how much they earn per day. 217 00:10:26,000 --> 00:10:29,000 This family earns about one dollar per day. 218 00:10:30,000 --> 00:10:31,000 We drive up the street here, 219 00:10:31,000 --> 00:10:35,000 we find a family here which earns about two to three dollars a day. 220 00:10:35,000 --> 00:10:38,000 And we drive away here -- we find the first garden in the street, 221 00:10:38,000 --> 00:10:40,000 and they earn 10 to 50 dollars a day. 222 00:10:40,000 --> 00:10:42,000 And how do they live? 223 00:10:42,000 --> 00:10:45,000 If we look at the bed here, we can see 224 00:10:45,000 --> 00:10:48,000 that they sleep on a rug on the floor. 225 00:10:48,000 --> 00:10:50,000 This is what poverty line is -- 226 00:10:50,000 --> 00:10:53,000 80 percent of the family income is just to cover the energy needs, 227 00:10:53,000 --> 00:10:55,000 the food for the day. 228 00:10:55,000 --> 00:10:58,000 This is two to five dollars. You have a bed. 229 00:10:58,000 --> 00:11:00,000 And here it's a much nicer bedroom, you can see. 230 00:11:01,000 --> 00:11:03,000 I lectured on this for Ikea, and they wanted to see 231 00:11:03,000 --> 00:11:05,000 the sofa immediately here. 232 00:11:05,000 --> 00:11:07,000 (Laughter) 233 00:11:07,000 --> 00:11:11,000 And this is the sofa, how it will emerge from there. 234 00:11:11,000 --> 00:11:14,000 And the interesting thing, when you go around here in the photo panorama, 235 00:11:14,000 --> 00:11:16,000 you see the family still sitting on the floor there. 236 00:11:16,000 --> 00:11:18,000 Although there is a sofa, 237 00:11:18,000 --> 00:11:20,000 if you watch in the kitchen, you can see that 238 00:11:20,000 --> 00:11:25,000 the great difference for women does not come between one to 10 dollars. 239 00:11:25,000 --> 00:11:27,000 It comes beyond here, when you really can get 240 00:11:27,000 --> 00:11:30,000 good working conditions in the family. 241 00:11:30,000 --> 00:11:32,000 And if you really want to see the difference, 242 00:11:32,000 --> 00:11:34,000 you look at the toilet over here. 243 00:11:34,000 --> 00:11:36,000 This can change. This can change. 244 00:11:36,000 --> 00:11:39,000 These are all pictures and images from Africa, 245 00:11:39,000 --> 00:11:41,000 and it can become much better. 246 00:11:42,000 --> 00:11:44,000 We can get out of poverty. 247 00:11:44,000 --> 00:11:47,000 My own research has not been in IT or anything like this. 248 00:11:47,000 --> 00:11:50,000 I spent 20 years in interviews with African farmers 249 00:11:50,000 --> 00:11:53,000 who were on the verge of famine. 250 00:11:53,000 --> 00:11:55,000 And this is the result of the farmers-needs research. 251 00:11:55,000 --> 00:11:57,000 The nice thing here is that you can't see 252 00:11:57,000 --> 00:11:59,000 who are the researchers in this picture. 253 00:11:59,000 --> 00:12:02,000 That's when research functions in poor societies -- 254 00:12:02,000 --> 00:12:04,000 you must really live with the people. 255 00:12:06,000 --> 00:12:10,000 When you're in poverty, everything is about survival. 256 00:12:10,000 --> 00:12:12,000 It's about having food. 257 00:12:12,000 --> 00:12:14,000 And these two young farmers, they are girls now -- 258 00:12:14,000 --> 00:12:18,000 because the parents are dead from HIV and AIDS -- 259 00:12:18,000 --> 00:12:20,000 they discuss with a trained agronomist. 260 00:12:20,000 --> 00:12:24,000 This is one of the best agronomists in Malawi, Junatambe Kumbira, 261 00:12:24,000 --> 00:12:26,000 and he's discussing what sort of cassava they will plant -- 262 00:12:26,000 --> 00:12:30,000 the best converter of sunshine to food that man has found. 263 00:12:30,000 --> 00:12:33,000 And they are very, very eagerly interested to get advice, 264 00:12:33,000 --> 00:12:36,000 and that's to survive in poverty. 265 00:12:36,000 --> 00:12:37,000 That's one context. 266 00:12:37,000 --> 00:12:39,000 Getting out of poverty. 267 00:12:39,000 --> 00:12:42,000 The women told us one thing. "Get us technology. 268 00:12:42,000 --> 00:12:45,000 We hate this mortar, to stand hours and hours. 269 00:12:45,000 --> 00:12:48,000 Get us a mill so that we can mill our flour, 270 00:12:48,000 --> 00:12:51,000 then we will be able to pay for the rest ourselves." 271 00:12:51,000 --> 00:12:54,000 Technology will bring you out of poverty, 272 00:12:54,000 --> 00:12:58,000 but there's a need for a market to get away from poverty. 273 00:12:58,000 --> 00:13:01,000 And this woman is very happy now, bringing her products to the market. 274 00:13:01,000 --> 00:13:03,000 But she's very thankful for the public investment in schooling 275 00:13:03,000 --> 00:13:06,000 so she can count, and won't be cheated when she reaches the market. 276 00:13:06,000 --> 00:13:09,000 She wants her kid to be healthy, so she can go to the market 277 00:13:09,000 --> 00:13:11,000 and doesn't have to stay home. 278 00:13:11,000 --> 00:13:14,000 And she wants the infrastructure -- it is nice with a paved road. 279 00:13:14,000 --> 00:13:16,000 It's also good with credit. 280 00:13:16,000 --> 00:13:19,000 Micro-credits gave her the bicycle, you know. 281 00:13:19,000 --> 00:13:22,000 And information will tell her when to go to market with which product. 282 00:13:22,000 --> 00:13:24,000 You can do this. 283 00:13:24,000 --> 00:13:27,000 I find my experience from 20 years of Africa is that 284 00:13:27,000 --> 00:13:30,000 the seemingly impossible is possible. 285 00:13:30,000 --> 00:13:32,000 Africa has not done bad. 286 00:13:32,000 --> 00:13:35,000 In 50 years they've gone from a pre-Medieval situation 287 00:13:35,000 --> 00:13:38,000 to a very decent 100-year-ago Europe, 288 00:13:38,000 --> 00:13:41,000 with a functioning nation and state. 289 00:13:41,000 --> 00:13:44,000 I would say that sub-Saharan Africa has done best in the world 290 00:13:44,000 --> 00:13:45,000 during the last 50 years. 291 00:13:45,000 --> 00:13:47,000 Because we don't consider where they came from. 292 00:13:47,000 --> 00:13:50,000 It's this stupid concept of developing countries 293 00:13:50,000 --> 00:13:53,000 that puts us, Argentina and Mozambique together 50 years ago, 294 00:13:53,000 --> 00:13:55,000 and says that Mozambique did worse. 295 00:13:56,000 --> 00:13:58,000 We have to know a little more about the world. 296 00:13:58,000 --> 00:14:01,000 I have a neighbor who knows 200 types of wine. 297 00:14:01,000 --> 00:14:02,000 He knows everything. 298 00:14:02,000 --> 00:14:04,000 He knows the name of the grape, the temperature and everything. 299 00:14:04,000 --> 00:14:07,000 I only know two types of wine -- red and white. 300 00:14:07,000 --> 00:14:09,000 (Laughter) 301 00:14:09,000 --> 00:14:11,000 But my neighbor only knows two types of countries -- 302 00:14:11,000 --> 00:14:13,000 industrialized and developing. 303 00:14:13,000 --> 00:14:16,000 And I know 200, I know about the small data. 304 00:14:16,000 --> 00:14:17,000 But you can do that. 305 00:14:17,000 --> 00:14:22,000 (Applause) 306 00:14:22,000 --> 00:14:24,000 But I have to get serious. And how do you get serious? 307 00:14:24,000 --> 00:14:26,000 You make a PowerPoint, you know? 308 00:14:26,000 --> 00:14:31,000 (Laughter) 309 00:14:31,000 --> 00:14:33,000 Homage to the Office package, no? 310 00:14:35,000 --> 00:14:37,000 What is this, what is this, what am I telling? 311 00:14:37,000 --> 00:14:40,000 I'm telling you that there are many dimensions of development. 312 00:14:40,000 --> 00:14:42,000 Everyone wants your pet thing. 313 00:14:42,000 --> 00:14:45,000 If you are in the corporate sector, you love micro-credit. 314 00:14:45,000 --> 00:14:47,000 If you are fighting in a non-governmental organization, 315 00:14:47,000 --> 00:14:50,000 you love equity between gender. 316 00:14:50,000 --> 00:14:52,000 Or if you are a teacher, you'll love UNESCO, and so on. 317 00:14:52,000 --> 00:14:54,000 On the global level, we have to have more than our own thing. 318 00:14:54,000 --> 00:14:56,000 We need everything. 319 00:14:56,000 --> 00:14:58,000 All these things are important for development, 320 00:14:58,000 --> 00:15:00,000 especially when you just get out of poverty 321 00:15:00,000 --> 00:15:03,000 and you should go towards welfare. 322 00:15:03,000 --> 00:15:05,000 Now, what we need to think about 323 00:15:05,000 --> 00:15:08,000 is, what is a goal for development, 324 00:15:08,000 --> 00:15:09,000 and what are the means for development? 325 00:15:09,000 --> 00:15:12,000 Let me first grade what are the most important means. 326 00:15:13,000 --> 00:15:15,000 Economic growth to me, as a public-health professor, 327 00:15:15,000 --> 00:15:19,000 is the most important thing for development 328 00:15:19,000 --> 00:15:21,000 because it explains 80 percent of survival. 329 00:15:22,000 --> 00:15:25,000 Governance. To have a government which functions -- 330 00:15:25,000 --> 00:15:29,000 that's what brought California out of the misery of 1850. 331 00:15:29,000 --> 00:15:32,000 It was the government that made law function finally. 332 00:15:33,000 --> 00:15:35,000 Education, human resources are important. 333 00:15:35,000 --> 00:15:39,000 Health is also important, but not that much as a mean. 334 00:15:39,000 --> 00:15:41,000 Environment is important. 335 00:15:41,000 --> 00:15:43,000 Human rights is also important, but it just gets one cross. 336 00:15:43,000 --> 00:15:46,000 Now what about goals? Where are we going toward? 337 00:15:46,000 --> 00:15:48,000 We are not interested in money. 338 00:15:48,000 --> 00:15:49,000 Money is not a goal. 339 00:15:49,000 --> 00:15:52,000 It's the best mean, but I give it zero as a goal. 340 00:15:53,000 --> 00:15:56,000 Governance, well it's fun to vote in a little thing, 341 00:15:56,000 --> 00:15:58,000 but it's not a goal. 342 00:15:58,000 --> 00:16:02,000 And going to school, that's not a goal, it's a mean. 343 00:16:02,000 --> 00:16:04,000 Health I give two points. I mean it's nice to be healthy 344 00:16:04,000 --> 00:16:06,000 -- at my age especially -- you can stand here, you're healthy. 345 00:16:06,000 --> 00:16:08,000 And that's good, it gets two plusses. 346 00:16:08,000 --> 00:16:10,000 Environment is very, very crucial. 347 00:16:10,000 --> 00:16:12,000 There's nothing for the grandkid if you don't save up. 348 00:16:12,000 --> 00:16:14,000 But where are the important goals? 349 00:16:14,000 --> 00:16:16,000 Of course, it's human rights. 350 00:16:16,000 --> 00:16:18,000 Human rights is the goal, 351 00:16:18,000 --> 00:16:21,000 but it's not that strong of a mean for achieving development. 352 00:16:22,000 --> 00:16:26,000 And culture. Culture is the most important thing, I would say, 353 00:16:26,000 --> 00:16:28,000 because that's what brings joy to life. 354 00:16:28,000 --> 00:16:30,000 That's the value of living. 355 00:16:30,000 --> 00:16:33,000 So the seemingly impossible is possible. 356 00:16:33,000 --> 00:16:35,000 Even African countries can achieve this. 357 00:16:36,000 --> 00:16:42,000 And I've shown you the shot where the seemingly impossible is possible. 358 00:16:42,000 --> 00:16:46,000 And remember, please remember my main message, 359 00:16:46,000 --> 00:16:49,000 which is this: the seemingly impossible is possible. 360 00:16:49,000 --> 00:16:51,000 We can have a good world. 361 00:16:51,000 --> 00:16:54,000 I showed you the shots, I proved it in the PowerPoint, 362 00:16:54,000 --> 00:17:00,000 and I think I will convince you also by culture. 363 00:17:00,000 --> 00:17:04,000 (Laughter) 364 00:17:04,000 --> 00:17:05,000 (Applause) 365 00:17:05,000 --> 00:17:07,000 Bring me my sword! 366 00:17:11,000 --> 00:17:16,000 Sword swallowing is from ancient India. 367 00:17:16,000 --> 00:17:21,000 It's a cultural expression that for thousands of years 368 00:17:21,000 --> 00:17:27,000 has inspired human beings to think beyond the obvious. 369 00:17:27,000 --> 00:17:29,000 (Laughter) 370 00:17:29,000 --> 00:17:34,000 And I will now prove to you that the seemingly impossible is possible 371 00:17:34,000 --> 00:17:37,000 by taking this piece of steel -- solid steel -- 372 00:17:38,000 --> 00:17:41,000 this is the army bayonet from the Swedish Army, 1850, 373 00:17:41,000 --> 00:17:43,000 in the last year we had war. 374 00:17:44,000 --> 00:17:47,000 And it's all solid steel -- you can hear here. 375 00:17:47,000 --> 00:17:53,000 And I'm going to take this blade of steel, 376 00:17:53,000 --> 00:17:58,000 and push it down through my body of blood and flesh, 377 00:17:58,000 --> 00:18:02,000 and prove to you that the seemingly impossible is possible. 378 00:18:03,000 --> 00:18:07,000 Can I request a moment of absolute silence? 379 00:18:18,000 --> 00:18:40,000 (Applause)