1 00:00:00,000 --> 00:00:02,000 We are here today 2 00:00:02,000 --> 00:00:04,000 because [the] United Nations 3 00:00:04,000 --> 00:00:06,000 have defined goals 4 00:00:06,000 --> 00:00:08,000 for the progress of countries. 5 00:00:08,000 --> 00:00:11,000 They're called Millennium Development Goals. 6 00:00:11,000 --> 00:00:14,000 And the reason I really like these goals 7 00:00:14,000 --> 00:00:17,000 is that there are eight of them. 8 00:00:17,000 --> 00:00:19,000 And by specifying eight different goals, 9 00:00:19,000 --> 00:00:21,000 the United Nations has said 10 00:00:21,000 --> 00:00:23,000 that there are so many things needed 11 00:00:23,000 --> 00:00:25,000 to change in a country 12 00:00:25,000 --> 00:00:27,000 in order to get the good life for people. 13 00:00:27,000 --> 00:00:29,000 Look here -- you have to end poverty, 14 00:00:29,000 --> 00:00:31,000 education, gender, 15 00:00:31,000 --> 00:00:33,000 child and maternal health, 16 00:00:33,000 --> 00:00:36,000 control infections, protect the environment 17 00:00:36,000 --> 00:00:38,000 and get the good global links between nations 18 00:00:38,000 --> 00:00:40,000 in every aspect 19 00:00:40,000 --> 00:00:43,000 from aid to trade. 20 00:00:43,000 --> 00:00:46,000 There's a second reason I like these development goals, 21 00:00:46,000 --> 00:00:49,000 and that is because each and every one is measured. 22 00:00:49,000 --> 00:00:52,000 Take child mortality; 23 00:00:52,000 --> 00:00:54,000 the aim here is to reduce child mortality 24 00:00:54,000 --> 00:00:56,000 by two-thirds, 25 00:00:56,000 --> 00:00:59,000 from 1990 to 2015. 26 00:00:59,000 --> 00:01:02,000 That's a four percent reduction per year -- 27 00:01:03,000 --> 00:01:05,000 and this, with measuring. 28 00:01:05,000 --> 00:01:07,000 That's what makes the difference 29 00:01:07,000 --> 00:01:09,000 between political talking like this 30 00:01:09,000 --> 00:01:11,000 and really going for the important thing, 31 00:01:11,000 --> 00:01:14,000 a better life for people. 32 00:01:14,000 --> 00:01:16,000 And what I'm so happy about with this 33 00:01:16,000 --> 00:01:18,000 is that we have already documented 34 00:01:18,000 --> 00:01:20,000 that there are many countries 35 00:01:20,000 --> 00:01:22,000 in Asia, in the Middle East, 36 00:01:22,000 --> 00:01:25,000 in Latin America and East Europe 37 00:01:25,000 --> 00:01:27,000 that [are] reducing with this rate. 38 00:01:27,000 --> 00:01:30,000 And even mighty Brazil is going down with five percent per year, 39 00:01:30,000 --> 00:01:32,000 and Turkey with seven percent per year. 40 00:01:32,000 --> 00:01:34,000 So there's good news. 41 00:01:34,000 --> 00:01:37,000 But then I hear people saying, "There is no progress in Africa. 42 00:01:37,000 --> 00:01:39,000 And there's not even statistics on Africa 43 00:01:39,000 --> 00:01:41,000 to know what is happening." 44 00:01:41,000 --> 00:01:44,000 I'll prove them wrong on both points. 45 00:01:44,000 --> 00:01:47,000 Come with me to the wonderful world of statistics. 46 00:01:47,000 --> 00:01:50,000 I bring you to the webpage, ChildMortality.org, 47 00:01:50,000 --> 00:01:52,000 where you can take deaths in children 48 00:01:52,000 --> 00:01:55,000 below five years of age for all countries -- 49 00:01:55,000 --> 00:01:57,000 it's done by U.N. specialists. 50 00:01:57,000 --> 00:01:59,000 And I will take Kenya as an example. 51 00:01:59,000 --> 00:02:01,000 Here you see the data. 52 00:02:01,000 --> 00:02:04,000 Don't panic -- don't panic now, I'll help you through this. 53 00:02:04,000 --> 00:02:06,000 It looks nasty, like in college 54 00:02:06,000 --> 00:02:08,000 when you didn't like statistics. 55 00:02:08,000 --> 00:02:10,000 But first thing, when you see dots like this, 56 00:02:10,000 --> 00:02:12,000 you have to ask yourself: 57 00:02:12,000 --> 00:02:14,000 from where do the data come? 58 00:02:14,000 --> 00:02:16,000 What is the origin of the data? 59 00:02:16,000 --> 00:02:18,000 Is it so that in Kenya, 60 00:02:18,000 --> 00:02:20,000 there are doctors and other specialists 61 00:02:20,000 --> 00:02:22,000 who write the death certificate at the death of the child 62 00:02:22,000 --> 00:02:24,000 and it's sent to the statistical office? 63 00:02:24,000 --> 00:02:27,000 No -- low-income countries like Kenya 64 00:02:27,000 --> 00:02:30,000 still don't have that level of organization. 65 00:02:30,000 --> 00:02:32,000 It exists, but it's not complete 66 00:02:32,000 --> 00:02:35,000 because so many deaths occur in the home 67 00:02:35,000 --> 00:02:37,000 with the family, 68 00:02:37,000 --> 00:02:39,000 and it's not registered. 69 00:02:39,000 --> 00:02:41,000 What we rely on is not an incomplete system. 70 00:02:41,000 --> 00:02:44,000 We have interviews, we have surveys. 71 00:02:44,000 --> 00:02:46,000 And this is highly professional 72 00:02:46,000 --> 00:02:48,000 female interviewers 73 00:02:48,000 --> 00:02:50,000 who sit down for one hour with a woman 74 00:02:50,000 --> 00:02:52,000 and ask her about [her] birth history. 75 00:02:52,000 --> 00:02:54,000 How many children did you have? 76 00:02:54,000 --> 00:02:56,000 Are they alive? 77 00:02:56,000 --> 00:02:59,000 If they died, at what age and what year? 78 00:02:59,000 --> 00:03:01,000 And then this is done in a representative sample 79 00:03:01,000 --> 00:03:04,000 of thousands of women in the country 80 00:03:04,000 --> 00:03:06,000 and put together in what used to be called 81 00:03:06,000 --> 00:03:09,000 a demographic health survey report. 82 00:03:09,000 --> 00:03:11,000 But these surveys are costly, 83 00:03:11,000 --> 00:03:14,000 so they can only be done [in] three- to five-year intervals. 84 00:03:14,000 --> 00:03:16,000 But they have good quality. 85 00:03:16,000 --> 00:03:18,000 So this is a limitation. 86 00:03:18,000 --> 00:03:21,000 And all these colored lines here are results; 87 00:03:21,000 --> 00:03:23,000 each color is one survey. 88 00:03:23,000 --> 00:03:26,000 But that's too complicated for today, so I'll simplify it for you, 89 00:03:26,000 --> 00:03:29,000 and I give you one average point for each survey. 90 00:03:29,000 --> 00:03:32,000 This was 1977, 1988, 91 00:03:32,000 --> 00:03:34,000 1992, '97 92 00:03:34,000 --> 00:03:37,000 and 2002. 93 00:03:37,000 --> 00:03:39,000 And when the experts in the U.N. 94 00:03:39,000 --> 00:03:42,000 have got these surveys in place in their database, 95 00:03:42,000 --> 00:03:45,000 then they use advanced mathematical formulas 96 00:03:45,000 --> 00:03:48,000 to produce a trend line, and the trend line looks like this. 97 00:03:48,000 --> 00:03:51,000 See here -- it's the best fit they can get of this point. 98 00:03:51,000 --> 00:03:53,000 But watch out -- 99 00:03:53,000 --> 00:03:55,000 they continue the line 100 00:03:55,000 --> 00:03:57,000 beyond the last point 101 00:03:57,000 --> 00:03:59,000 out into nothing. 102 00:03:59,000 --> 00:04:02,000 And they estimated that in 2008, 103 00:04:02,000 --> 00:04:05,000 Kenya had per child mortality of 128. 104 00:04:05,000 --> 00:04:07,000 And I was sad, 105 00:04:07,000 --> 00:04:09,000 because we could see 106 00:04:09,000 --> 00:04:11,000 this reversal in Kenya 107 00:04:11,000 --> 00:04:14,000 with an increased child mortality in the 90s. 108 00:04:14,000 --> 00:04:16,000 It was so tragic. 109 00:04:16,000 --> 00:04:19,000 But in June, I got a mail in my inbox 110 00:04:19,000 --> 00:04:21,000 from Demographic Health Surveys, 111 00:04:21,000 --> 00:04:23,000 and it showed good news from Kenya. 112 00:04:23,000 --> 00:04:25,000 I was so happy. 113 00:04:25,000 --> 00:04:28,000 This was the estimate of the new survey. 114 00:04:28,000 --> 00:04:30,000 Then it just took another three months 115 00:04:30,000 --> 00:04:32,000 for [the] U.N. to get it into their server, 116 00:04:32,000 --> 00:04:35,000 and on Friday we got the new trend line -- 117 00:04:35,000 --> 00:04:37,000 it was down here. 118 00:04:37,000 --> 00:04:39,000 Isn't it nice -- isn't it nice, yeah? 119 00:04:39,000 --> 00:04:42,000 I was actually, on Friday, sitting in front of my computer, 120 00:04:42,000 --> 00:04:44,000 and I saw the death rate fall 121 00:04:44,000 --> 00:04:47,000 from 128 to 84 just that morning. 122 00:04:47,000 --> 00:04:49,000 So we celebrated. 123 00:04:49,000 --> 00:04:51,000 But now, when you have this trend line, 124 00:04:51,000 --> 00:04:53,000 how do we measure progress? 125 00:04:53,000 --> 00:04:55,000 I'm going into some details here, 126 00:04:55,000 --> 00:04:57,000 because [the] U.N. do it like this. 127 00:04:57,000 --> 00:05:00,000 They start [in] 1990 -- they measure to 2009. 128 00:05:00,000 --> 00:05:03,000 They say, "0.9 percent, no progress." 129 00:05:03,000 --> 00:05:05,000 That's unfair. 130 00:05:05,000 --> 00:05:08,000 As a professor, I think I have the right to propose something differently. 131 00:05:08,000 --> 00:05:10,000 I would say, at least do this -- 132 00:05:10,000 --> 00:05:12,000 10 years is enough to follow the trend. 133 00:05:12,000 --> 00:05:15,000 It's two surveys, and you can see what's happening now. 134 00:05:15,000 --> 00:05:17,000 They have 2.4 percent. 135 00:05:17,000 --> 00:05:19,000 Had I been in the Ministry of Health in Kenya, 136 00:05:19,000 --> 00:05:22,000 I may have joined these two points. 137 00:05:22,000 --> 00:05:24,000 So what I'm telling you 138 00:05:24,000 --> 00:05:26,000 is that we know the child mortality. 139 00:05:26,000 --> 00:05:28,000 We have a decent trend. 140 00:05:28,000 --> 00:05:30,000 It's coming into some tricky things then 141 00:05:30,000 --> 00:05:32,000 when we are measuring MDGs. 142 00:05:32,000 --> 00:05:35,000 And the reason here for Africa is especially important, 143 00:05:35,000 --> 00:05:37,000 because '90s was a bad decade, 144 00:05:37,000 --> 00:05:40,000 not only in Kenya, but across Africa. 145 00:05:40,000 --> 00:05:42,000 The HIV epidemic peaked. 146 00:05:42,000 --> 00:05:45,000 There was resistance for the old malaria drugs, until we got the new drugs. 147 00:05:45,000 --> 00:05:47,000 We got, later, the mosquito netting. 148 00:05:47,000 --> 00:05:49,000 And there was socio-economic problems, 149 00:05:49,000 --> 00:05:52,000 which are now being solved at a much better scale. 150 00:05:52,000 --> 00:05:54,000 So look at the average here -- 151 00:05:54,000 --> 00:05:56,000 this is the average for all of sub-Saharan Africa. 152 00:05:56,000 --> 00:05:58,000 And [the] U.N. says 153 00:05:58,000 --> 00:06:01,000 it's a reduction with 1.8 percent. 154 00:06:01,000 --> 00:06:03,000 Now this sounds a little theoretical, 155 00:06:03,000 --> 00:06:05,000 but it's not so theoretical. 156 00:06:05,000 --> 00:06:07,000 You know, these economists, 157 00:06:07,000 --> 00:06:10,000 they love money, they want more and more of it, they want it to grow. 158 00:06:10,000 --> 00:06:13,000 So they calculate the percent annual growth rate of [the] economy. 159 00:06:13,000 --> 00:06:16,000 We in public health, we hate child death, 160 00:06:16,000 --> 00:06:18,000 so we want less and less and less of child deaths. 161 00:06:18,000 --> 00:06:20,000 So we calculate the percent reduction per year, 162 00:06:20,000 --> 00:06:22,000 but it's sort of the same percentage. 163 00:06:22,000 --> 00:06:24,000 If your economy grows with four percent, 164 00:06:24,000 --> 00:06:26,000 you ought to reduce child mortality four percent; 165 00:06:26,000 --> 00:06:29,000 if it's used well and people are really involved 166 00:06:29,000 --> 00:06:32,000 and can get the use of the resources in the way they want it. 167 00:06:32,000 --> 00:06:35,000 So is this fair now to measure this over 19 years? 168 00:06:35,000 --> 00:06:38,000 An economist would never do that. 169 00:06:38,000 --> 00:06:40,000 I have just divided it into two periods. 170 00:06:40,000 --> 00:06:43,000 In the 90s, only 1.2 percent, 171 00:06:43,000 --> 00:06:45,000 only 1.2 percent. 172 00:06:45,000 --> 00:06:47,000 Whereas now, second gear -- 173 00:06:47,000 --> 00:06:49,000 it's like Africa had first gear, 174 00:06:49,000 --> 00:06:51,000 now they go into second gear. 175 00:06:51,000 --> 00:06:53,000 But even this 176 00:06:53,000 --> 00:06:55,000 is not a fair representation of Africa, 177 00:06:55,000 --> 00:06:57,000 because it's an average, 178 00:06:57,000 --> 00:06:59,000 it's an average speed of reduction in Africa. 179 00:06:59,000 --> 00:07:02,000 And look here when I take you into my bubble graphs. 180 00:07:02,000 --> 00:07:04,000 Still here, 181 00:07:04,000 --> 00:07:07,000 child death per 1,000 on that axis. 182 00:07:07,000 --> 00:07:09,000 Here we have [the] year. 183 00:07:09,000 --> 00:07:12,000 And I'm now giving you a wider picture than the MDG. 184 00:07:12,000 --> 00:07:14,000 I start 50 years ago 185 00:07:14,000 --> 00:07:17,000 when Africa celebrated independence in most countries. 186 00:07:17,000 --> 00:07:19,000 I give you Congo, which was high, 187 00:07:19,000 --> 00:07:21,000 Ghana -- lower. And Kenya -- even lower. 188 00:07:21,000 --> 00:07:24,000 And what has happened over the years since then? Here we go. 189 00:07:24,000 --> 00:07:27,000 You can see, with independence, literacy improved 190 00:07:27,000 --> 00:07:30,000 and vaccinations started, smallpox was eradicated, 191 00:07:30,000 --> 00:07:33,000 hygiene was improved, and things got better. 192 00:07:33,000 --> 00:07:35,000 But then, in the '80s, watch out here. 193 00:07:35,000 --> 00:07:37,000 Congo got into civil war, 194 00:07:37,000 --> 00:07:39,000 and they leveled off here. 195 00:07:39,000 --> 00:07:41,000 Ghana got very ahead, fast. 196 00:07:41,000 --> 00:07:44,000 This was the backlash in Kenya, and Ghana bypassed, 197 00:07:44,000 --> 00:07:46,000 but then Kenya and Ghana go down together -- 198 00:07:46,000 --> 00:07:48,000 still a standstill in Congo. 199 00:07:48,000 --> 00:07:50,000 That's where we are today. 200 00:07:50,000 --> 00:07:53,000 You can see it doesn't make sense 201 00:07:53,000 --> 00:07:56,000 to make an average of this zero improvement 202 00:07:56,000 --> 00:07:59,000 and this very fast improvement. 203 00:08:00,000 --> 00:08:02,000 Time has come 204 00:08:02,000 --> 00:08:06,000 to stop thinking about sub-Saharan Africa as one place. 205 00:08:06,000 --> 00:08:09,000 Their countries are so different, 206 00:08:09,000 --> 00:08:12,000 and they merit to be recognized in the same way, 207 00:08:12,000 --> 00:08:14,000 as we don't talk about Europe as one place. 208 00:08:14,000 --> 00:08:17,000 I can tell you that the economy in Greece and Sweden are very different -- 209 00:08:17,000 --> 00:08:19,000 everyone knows that. 210 00:08:19,000 --> 00:08:22,000 And they are judged, each country, on how they are doing. 211 00:08:22,000 --> 00:08:25,000 So let me show the wider picture. 212 00:08:25,000 --> 00:08:28,000 My country, Sweden: 213 00:08:28,000 --> 00:08:31,000 1800, we were up there. 214 00:08:31,000 --> 00:08:34,000 What a strange personality disorder we must have, 215 00:08:34,000 --> 00:08:37,000 counting the children so meticulously in spite of a high child death rate. 216 00:08:37,000 --> 00:08:40,000 It's very strange. It's sort of embarrassing. 217 00:08:40,000 --> 00:08:42,000 But we had that habit in Sweden, you know, 218 00:08:42,000 --> 00:08:44,000 that we counted all the child deaths, 219 00:08:44,000 --> 00:08:46,000 even if we didn't do anything about it. 220 00:08:46,000 --> 00:08:48,000 And then, you see, these were famine years. 221 00:08:48,000 --> 00:08:50,000 These were bad years, and people got fed up with Sweden. 222 00:08:50,000 --> 00:08:53,000 My ancestors moved to the United States. 223 00:08:53,000 --> 00:08:56,000 And eventually, soon they started to get better and better here. 224 00:08:56,000 --> 00:08:59,000 And here we got better education, and we got health service, 225 00:08:59,000 --> 00:09:01,000 and child mortality came down. 226 00:09:01,000 --> 00:09:04,000 We never had a war; Sweden was in peace all this time. 227 00:09:04,000 --> 00:09:06,000 But look, the rate of lowering 228 00:09:06,000 --> 00:09:08,000 in Sweden 229 00:09:08,000 --> 00:09:10,000 was not fast. 230 00:09:10,000 --> 00:09:13,000 Sweden achieved a low child mortality 231 00:09:13,000 --> 00:09:16,000 because we started early. 232 00:09:16,000 --> 00:09:18,000 We had primary school actually 233 00:09:18,000 --> 00:09:20,000 started in 1842. 234 00:09:20,000 --> 00:09:22,000 And then you get that wonderful effect 235 00:09:22,000 --> 00:09:24,000 when we got female literacy 236 00:09:24,000 --> 00:09:26,000 one generation later. 237 00:09:26,000 --> 00:09:29,000 You have to realize that the investments we do in progress 238 00:09:29,000 --> 00:09:31,000 are long-term investments. 239 00:09:31,000 --> 00:09:33,000 It's not about just five years -- 240 00:09:33,000 --> 00:09:35,000 it's long-term investments. 241 00:09:35,000 --> 00:09:38,000 And Sweden never reached [the] Millennium Development Goal rate, 242 00:09:38,000 --> 00:09:40,000 3.1 percent when I calculated. 243 00:09:40,000 --> 00:09:43,000 So we are off track -- that's what Sweden is. 244 00:09:43,000 --> 00:09:45,000 But you don't talk about it so much. 245 00:09:45,000 --> 00:09:48,000 We want others to be better than we were, and indeed, others have been better. 246 00:09:48,000 --> 00:09:50,000 Let me show you Thailand, 247 00:09:50,000 --> 00:09:52,000 see what a success story, Thailand from the 1960s -- 248 00:09:52,000 --> 00:09:54,000 how they went down here 249 00:09:54,000 --> 00:09:57,000 and reached almost the same child mortality levels as Sweden. 250 00:09:57,000 --> 00:10:00,000 And I'll give you another story -- Egypt, 251 00:10:00,000 --> 00:10:03,000 the most hidden, glorious success in public health. 252 00:10:03,000 --> 00:10:05,000 Egypt was up here in 1960, 253 00:10:05,000 --> 00:10:07,000 higher than Congo. 254 00:10:07,000 --> 00:10:10,000 The Nile Delta was a misery for children 255 00:10:10,000 --> 00:10:12,000 with diarrheal disease 256 00:10:12,000 --> 00:10:14,000 and malaria and a lot of problems. 257 00:10:14,000 --> 00:10:17,000 And then they got the Aswan Dam. They got electricity in their homes, 258 00:10:17,000 --> 00:10:19,000 they increased education 259 00:10:19,000 --> 00:10:21,000 and they got primary health care. 260 00:10:21,000 --> 00:10:23,000 And down they went, you know. 261 00:10:23,000 --> 00:10:26,000 And they got safer water, they eradicated malaria. 262 00:10:26,000 --> 00:10:28,000 And isn't it a success story. 263 00:10:28,000 --> 00:10:31,000 Millennium Development Goal rates for child mortality 264 00:10:31,000 --> 00:10:33,000 is fully possible. 265 00:10:33,000 --> 00:10:35,000 And the good thing is 266 00:10:35,000 --> 00:10:37,000 that Ghana today is going with the same rate 267 00:10:37,000 --> 00:10:40,000 as Egypt did at its fastest. 268 00:10:40,000 --> 00:10:42,000 Kenya is now speeding up. 269 00:10:42,000 --> 00:10:44,000 Here we have a problem. 270 00:10:44,000 --> 00:10:47,000 We have a severe problem in countries which are at a standstill. 271 00:10:48,000 --> 00:10:51,000 Now, let me now bring you to a wider picture, 272 00:10:51,000 --> 00:10:53,000 a wider picture of child mortality. 273 00:10:53,000 --> 00:10:55,000 I'm going to show you the relationship 274 00:10:55,000 --> 00:10:58,000 between child mortality on this axis here -- 275 00:10:58,000 --> 00:11:01,000 this axis here is child mortality -- 276 00:11:01,000 --> 00:11:04,000 and here I have the family size. 277 00:11:04,000 --> 00:11:06,000 The relationship between child mortality and family size. 278 00:11:06,000 --> 00:11:08,000 One, two, three, four children per woman: 279 00:11:08,000 --> 00:11:10,000 six, seven, eight children per woman. 280 00:11:10,000 --> 00:11:12,000 This is, once again, 1960 -- 281 00:11:12,000 --> 00:11:14,000 50 years ago. 282 00:11:14,000 --> 00:11:16,000 Each bubble is a country -- 283 00:11:16,000 --> 00:11:18,000 the color, you can see, a continent. 284 00:11:18,000 --> 00:11:20,000 The dark blue here is sub-Saharan Africa. 285 00:11:20,000 --> 00:11:23,000 And the size of the bubble is the population. 286 00:11:24,000 --> 00:11:26,000 And these are 287 00:11:26,000 --> 00:11:28,000 the so-called "developing" countries. 288 00:11:28,000 --> 00:11:31,000 They had high, or very high, child mortality 289 00:11:31,000 --> 00:11:34,000 and family size, six to eight. 290 00:11:34,000 --> 00:11:36,000 And the ones over there, 291 00:11:36,000 --> 00:11:38,000 they were so-called Western countries. 292 00:11:38,000 --> 00:11:40,000 They had low child mortality 293 00:11:40,000 --> 00:11:42,000 and small families. 294 00:11:42,000 --> 00:11:44,000 What has happened? 295 00:11:44,000 --> 00:11:47,000 What I want you [to do] now is to see with your own eyes 296 00:11:47,000 --> 00:11:50,000 the relation between fall in child mortality 297 00:11:50,000 --> 00:11:53,000 and decrease in family size. 298 00:11:53,000 --> 00:11:55,000 I just want not to have any room for doubt -- 299 00:11:55,000 --> 00:11:57,000 you have to see that for yourself. 300 00:11:57,000 --> 00:12:00,000 This is what happened. Now I start the world. 301 00:12:00,000 --> 00:12:02,000 Here we come down with the eradication of 302 00:12:02,000 --> 00:12:04,000 smallpox, better education, 303 00:12:04,000 --> 00:12:06,000 health service. 304 00:12:06,000 --> 00:12:09,000 It got down there -- China comes into the Western box here. 305 00:12:09,000 --> 00:12:11,000 And here Brazil is in the Western Box. 306 00:12:11,000 --> 00:12:14,000 India is approaching. The first African countries coming into the Western box, 307 00:12:14,000 --> 00:12:16,000 and we get a lot a new neighbors. 308 00:12:16,000 --> 00:12:18,000 Welcome to a decent life. 309 00:12:18,000 --> 00:12:20,000 Come on. We want everyone down there. 310 00:12:20,000 --> 00:12:22,000 This is the vision we have, isn't it. 311 00:12:22,000 --> 00:12:25,000 And look now, the first African countries here are coming in. 312 00:12:25,000 --> 00:12:27,000 There we are today. 313 00:12:28,000 --> 00:12:30,000 There is no such thing 314 00:12:30,000 --> 00:12:32,000 as a "Western world" and "developing world." 315 00:12:32,000 --> 00:12:34,000 This is the report from [the] U.N., 316 00:12:34,000 --> 00:12:36,000 which came out on Friday. 317 00:12:36,000 --> 00:12:39,000 It's very good -- "Levels and Trends in Child Mortality" -- 318 00:12:39,000 --> 00:12:41,000 except this page. 319 00:12:41,000 --> 00:12:43,000 This page is very bad; 320 00:12:43,000 --> 00:12:46,000 it's a categorization of countries. 321 00:12:46,000 --> 00:12:49,000 It labels "developing countries," -- I can read from the list here -- 322 00:12:49,000 --> 00:12:52,000 developing countries: Republic of Korea -- South Korea. 323 00:12:52,000 --> 00:12:54,000 Huh? 324 00:12:54,000 --> 00:12:57,000 They get Samsung, how can they be [a] developing country? 325 00:12:57,000 --> 00:12:59,000 They have here Singapore. 326 00:12:59,000 --> 00:13:01,000 They have the lowest child mortality in the world, Singapore. 327 00:13:01,000 --> 00:13:03,000 They bypassed Sweden five years ago, 328 00:13:03,000 --> 00:13:05,000 and they are labeled a developing country. 329 00:13:05,000 --> 00:13:07,000 They have here Qatar. 330 00:13:07,000 --> 00:13:09,000 It's the richest country in the world with Al Jazeera. 331 00:13:09,000 --> 00:13:11,000 How the heck could they be [a] developing country? 332 00:13:11,000 --> 00:13:13,000 This is crap. 333 00:13:13,000 --> 00:13:16,000 (Applause) 334 00:13:16,000 --> 00:13:18,000 The rest here is good -- the rest is good. 335 00:13:18,000 --> 00:13:20,000 We have to have a modern concept, 336 00:13:20,000 --> 00:13:22,000 which fits to the data. 337 00:13:22,000 --> 00:13:24,000 And we have to realize 338 00:13:24,000 --> 00:13:27,000 that we are all going to into this, down to here. 339 00:13:27,000 --> 00:13:30,000 What is the importance now with the relations here. 340 00:13:30,000 --> 00:13:32,000 Look -- even if we look in Africa -- 341 00:13:32,000 --> 00:13:34,000 these are the African countries. 342 00:13:34,000 --> 00:13:37,000 You can clearly see the relation with falling child mortality 343 00:13:37,000 --> 00:13:39,000 and decreasing family size, 344 00:13:39,000 --> 00:13:41,000 even within Africa. 345 00:13:41,000 --> 00:13:43,000 It's very clear that this is what happens. 346 00:13:43,000 --> 00:13:46,000 And a very important piece of research came out on Friday 347 00:13:46,000 --> 00:13:50,000 from the Institute of Health Metrics and Evaluation in Seattle 348 00:13:50,000 --> 00:13:52,000 showing that almost 50 percent 349 00:13:52,000 --> 00:13:54,000 of the fall in child mortality 350 00:13:54,000 --> 00:13:57,000 can be attributed to female education. 351 00:13:57,000 --> 00:14:00,000 That is, when we get girls in school, 352 00:14:00,000 --> 00:14:02,000 we'll get an impact 15 to 20 years later, 353 00:14:02,000 --> 00:14:05,000 which is a secular trend which is very strong. 354 00:14:05,000 --> 00:14:08,000 That's why we must have that long-term perspective, 355 00:14:08,000 --> 00:14:10,000 but we must measure the impact 356 00:14:10,000 --> 00:14:12,000 over 10-year periods. 357 00:14:12,000 --> 00:14:14,000 It's fully possible 358 00:14:14,000 --> 00:14:16,000 to get child mortality down in all of these countries 359 00:14:16,000 --> 00:14:18,000 and to get them down in the corner 360 00:14:18,000 --> 00:14:21,000 where we all would like to live together. 361 00:14:22,000 --> 00:14:25,000 And of course, lowering child mortality 362 00:14:25,000 --> 00:14:28,000 is a matter of utmost importance 363 00:14:28,000 --> 00:14:30,000 from humanitarian aspects. 364 00:14:30,000 --> 00:14:32,000 It's a decent life for children, 365 00:14:32,000 --> 00:14:34,000 we are talking about. 366 00:14:34,000 --> 00:14:37,000 But it is also a strategic investment 367 00:14:37,000 --> 00:14:39,000 in the future of all mankind, 368 00:14:39,000 --> 00:14:42,000 because it's about the environment. 369 00:14:42,000 --> 00:14:44,000 We will not be able to manage the environment 370 00:14:44,000 --> 00:14:46,000 and avoid the terrible climate crisis 371 00:14:46,000 --> 00:14:48,000 if we don't stabilize the world population. 372 00:14:48,000 --> 00:14:50,000 Let's be clear about that. 373 00:14:50,000 --> 00:14:52,000 And the way to do that, 374 00:14:52,000 --> 00:14:55,000 that is to get child mortality down, get access to family planning 375 00:14:55,000 --> 00:14:58,000 and behind that drive female education. 376 00:14:58,000 --> 00:15:00,000 And that is fully possible. Let's do it. 377 00:15:00,000 --> 00:15:02,000 Thank you very much. 378 00:15:02,000 --> 00:15:12,000 (Applause)