1 00:00:01,000 --> 00:00:08,599 We live in a world of relentless change. 2 00:00:11,250 --> 00:00:15,210 Huge migrations of people to new megacities, 3 00:00:15,710 --> 00:00:20,489 filling soaring skyscrapers and vast slumps. 4 00:00:22,149 --> 00:00:25,350 Revenous appetites for fuel and food. 5 00:00:26,309 --> 00:00:28,789 Unpredictable climate change. 6 00:00:29,230 --> 00:00:34,770 And all this in a world where the population is still growing. 7 00:00:34,990 --> 00:00:54,539 should we be worried should we be scared how to make sense of it all seven billion people now 8 00:00:54,539 --> 00:01:01,920 live on this planet of ours isn't it beautiful but when some people think about the world and 9 00:01:01,920 --> 00:01:08,659 its future they panic others prefer not to think about it at all but tonight i'm going to show you 10 00:01:08,659 --> 00:01:10,439 how things really are. 11 00:01:10,439 --> 00:01:12,239 My name is Hans Rosling. 12 00:01:12,239 --> 00:01:15,459 I'm a statistician that, no, no, no, no, don't switch off, 13 00:01:15,459 --> 00:01:17,840 because with the latest data from all country, 14 00:01:17,840 --> 00:01:20,000 I'm going to show you the world in a new way. 15 00:01:20,000 --> 00:01:23,040 I'm going to tell you how world population is changing 16 00:01:23,040 --> 00:01:25,379 and what today's data tell us 17 00:01:25,379 --> 00:01:28,340 about how the future of the world will be. 18 00:01:28,340 --> 00:01:32,439 We undeniably face huge challenges, 19 00:01:32,439 --> 00:01:34,859 but the good news is that the future 20 00:01:34,859 --> 00:01:37,180 may not be quite as gloomy 21 00:01:37,180 --> 00:01:41,680 And that mankind already is doing better than many of you think. 22 00:01:52,549 --> 00:01:53,230 Babies. 23 00:01:53,909 --> 00:01:55,109 Each one a blessing. 24 00:01:55,930 --> 00:01:59,250 But many people think population growth is out of control. 25 00:01:59,909 --> 00:02:02,209 Some even talk of a population bomb. 26 00:02:03,370 --> 00:02:04,870 Are they right? 27 00:02:05,489 --> 00:02:10,669 So where are we with population today? 28 00:02:10,830 --> 00:02:12,009 And how did we get here? 29 00:02:12,330 --> 00:02:16,349 I'm going to tell you a story about everyone who ever lived. 30 00:02:16,349 --> 00:02:20,129 Well, at least during the last some thousand years. 31 00:02:20,349 --> 00:02:20,830 Here we go. 32 00:02:21,409 --> 00:02:24,370 I give you two axes. 33 00:02:25,490 --> 00:02:28,189 This is time in years. 34 00:02:28,710 --> 00:02:32,530 And this one here is world population in billions. 35 00:02:33,430 --> 00:02:39,250 In the year 10,000 BC, when the first people were becoming farmers, 36 00:02:39,629 --> 00:02:45,229 then the archaeologists estimate that the world population was only 10 million. 37 00:02:46,090 --> 00:02:47,590 Imagine 10 million. 38 00:02:47,710 --> 00:02:49,270 That's like Sweden today. 39 00:02:49,770 --> 00:02:52,009 A world of only Swedes. 40 00:02:53,909 --> 00:02:57,069 But then, as the millennia passed by, 41 00:02:57,370 --> 00:02:59,449 more farmers, food, and people, 42 00:02:59,650 --> 00:03:01,550 and great empires could emerge. 43 00:03:01,870 --> 00:03:06,310 Egypt, China, India, and finally, Europe. 44 00:03:06,650 --> 00:03:09,770 And population continued to grow, but very slowly. 45 00:03:10,110 --> 00:03:13,009 And I stop here at the year 1800, 46 00:03:13,009 --> 00:03:19,270 1800, because 1800, that's when world population became one billion. 47 00:03:20,449 --> 00:03:28,849 Imagine all that time, the population growth was just with a tiny fraction of a percent through thousands of years. 48 00:03:29,050 --> 00:03:35,830 But here, 1800, with the Industrial Revolution, everything changed and population started to grow faster. 49 00:03:35,830 --> 00:03:39,289 In little more than 100 years, it reached two billion. 50 00:03:39,289 --> 00:03:43,129 And then, you know, when I was at school, it was 3 billion. 51 00:03:44,090 --> 00:03:48,330 And many people said, the planet cannot support more people. 52 00:03:48,389 --> 00:03:49,729 Even experts said that. 53 00:03:50,229 --> 00:03:57,569 But what happens was this, you know, we became 4 billion, 5 billion, 6 billion, 7 billion. 54 00:03:58,990 --> 00:04:05,610 Imagine, more than half of the world population have been added during my lifetime. 55 00:04:05,610 --> 00:04:08,349 And the number is still rising. 56 00:04:09,289 --> 00:04:16,829 Most of the population growth in recent years has been in Asian countries, like here in 57 00:04:16,829 --> 00:04:17,829 Bangladesh. 58 00:04:17,829 --> 00:04:29,149 But the population has tripled during my lifetime, from 50 to more than 150 million. 59 00:04:29,149 --> 00:04:33,610 It's now one of the most densely populated countries in the world. 60 00:04:33,610 --> 00:04:40,490 Some 15 million already live in the very crowded capital, Dhaka. 61 00:04:40,490 --> 00:04:46,990 People here, whether in the city or the countryside, are intensely concerned about the size of 62 00:04:46,990 --> 00:04:49,529 families. 63 00:04:49,529 --> 00:04:57,449 But a new Bangladesh is emerging, like the Khan family, Mum Taslima, daughters Tanjina 64 00:04:57,449 --> 00:05:00,730 and little Sadia, and dad, Hanan. 65 00:05:14,730 --> 00:05:18,509 Both Taslim and Hanan come from large families themselves, 66 00:05:18,509 --> 00:05:21,470 but they've decided to have just two children. 67 00:05:27,449 --> 00:05:29,449 I hope one of them is good. 68 00:05:29,449 --> 00:05:31,449 I'm going to the next one. 69 00:05:33,449 --> 00:05:35,449 My wife told me that I have two children. 70 00:05:35,449 --> 00:05:37,449 I had a lot of children, so I had to give them the first child. 71 00:05:37,449 --> 00:05:39,449 I gave them the first child, and they were very happy. 72 00:05:39,449 --> 00:05:41,449 I gave them the first child, and they were very happy. 73 00:05:41,449 --> 00:05:43,449 I gave them the first child, and they were very happy. 74 00:05:43,449 --> 00:05:45,449 What about you? 75 00:05:45,449 --> 00:05:47,449 I have three children. 76 00:05:47,449 --> 00:05:49,449 I have three children. 77 00:05:51,449 --> 00:05:55,449 Taslima and Hanan are part of a cultural shift away from big families. 78 00:05:55,449 --> 00:05:59,449 And for Taslima, it's also become a job. 79 00:05:59,449 --> 00:06:03,449 She works for the government family planning service, 80 00:06:03,449 --> 00:06:06,449 which employs women like her in every village. 81 00:06:06,449 --> 00:06:12,449 She goes door to door to try to help others to have smaller families too. 82 00:06:25,449 --> 00:06:32,449 Taslima offers advice, moral support and most importantly a range of contraceptives. 83 00:06:56,959 --> 00:07:24,300 So how successful has Taslima and Bangladesh been in reducing fertility rate, that is, 84 00:07:24,300 --> 00:07:29,199 number of babies born per woman? In Sweden, we set up Gapminder Foundation 85 00:07:29,199 --> 00:07:33,759 to make the world's data available in a way that everyone can understand. 86 00:07:34,279 --> 00:07:37,899 So I can show you the situation in Bangladesh and what has happened. 87 00:07:38,240 --> 00:07:41,800 Here, a horizontal axis, babies per woman, 88 00:07:42,019 --> 00:07:45,139 all the way from one to two to seven to eight. 89 00:07:45,379 --> 00:07:50,399 And here, a vertical axis, that is lifespan, life expectancy, 90 00:07:50,759 --> 00:07:53,779 how many years a newborn can expect to live, 91 00:07:54,019 --> 00:07:56,319 from 30 all the way up to 90. 92 00:07:57,160 --> 00:08:02,579 Now, we start in 1972, a very important year for Bangladesh, 93 00:08:02,920 --> 00:08:05,000 the first full year of independence. 94 00:08:05,560 --> 00:08:08,139 That year, Bangladesh was over there, 95 00:08:08,139 --> 00:08:11,839 and they had on average seven babies per woman, 96 00:08:12,160 --> 00:08:14,759 and lifespan was less than 50 years. 97 00:08:15,480 --> 00:08:17,319 So what has happened after independence? 98 00:08:17,839 --> 00:08:20,660 Have life become longer in Bangladesh? 99 00:08:21,000 --> 00:08:22,459 Have children become fewer? 100 00:08:22,839 --> 00:08:24,759 Here is the data. I start Bangladesh. 101 00:08:25,160 --> 00:08:28,160 Indeed, you know, life is getting longer and babies fewer. 102 00:08:28,339 --> 00:08:30,220 Six, five, and life even longer. 103 00:08:30,399 --> 00:08:34,000 Four, three, and they land now almost to two. 104 00:08:34,120 --> 00:08:37,240 It's 2.2 and the lifespan is 70. 105 00:08:37,759 --> 00:08:39,820 It's absolutely amazing. 106 00:08:40,419 --> 00:08:48,399 In 40 years, Bangladesh have gone from seven, six, five, four, three, two. 107 00:08:48,399 --> 00:08:50,840 It's a miracle that has happened in Bangladesh. 108 00:08:52,299 --> 00:08:53,980 But is it only in Bangladesh? 109 00:08:53,980 --> 00:08:56,980 Well, I'll show you the whole world. 110 00:08:56,980 --> 00:09:01,980 I will go back 50 years in time to 1963. 111 00:09:01,980 --> 00:09:04,980 Here are all the countries. 112 00:09:04,980 --> 00:09:08,980 And these green ones is America, north and south. 113 00:09:08,980 --> 00:09:12,980 The yellow ones is Europe, east and west. 114 00:09:12,980 --> 00:09:16,980 And blue is Africa, north and south of the Sahara. 115 00:09:16,980 --> 00:09:20,980 And red is Asia, and we include Australia and New Zealand. 116 00:09:20,980 --> 00:09:24,759 The size of the bubble shows the size of the population. 117 00:09:25,259 --> 00:09:29,299 Look, the big ones over there is China and India, 118 00:09:29,639 --> 00:09:31,299 and Bangladesh is just behind. 119 00:09:32,259 --> 00:09:38,240 In 1963, the average number of babies born per woman in the world was five. 120 00:09:38,700 --> 00:09:41,620 But it was a divided world. Can you see that? 121 00:09:42,559 --> 00:09:45,940 These countries over here, the developed countries, 122 00:09:46,159 --> 00:09:49,039 they had small families and long lives. 123 00:09:49,039 --> 00:09:52,440 And then there were the developing countries over here. 124 00:09:52,659 --> 00:09:55,700 And they had large families and short lives. 125 00:09:55,799 --> 00:09:57,220 And very few were in between. 126 00:09:58,340 --> 00:10:00,340 But now we'll see what has happened. 127 00:10:00,840 --> 00:10:02,279 I start the world. 128 00:10:02,799 --> 00:10:03,299 Here we go. 129 00:10:04,200 --> 00:10:08,460 And you can see that China is getting, the big bubble is getting to better health. 130 00:10:08,539 --> 00:10:09,779 And then they start family planning. 131 00:10:09,899 --> 00:10:11,279 They move along to smaller families. 132 00:10:11,600 --> 00:10:13,399 And the big green, look at Mexico. 133 00:10:13,519 --> 00:10:14,419 Mexico is coming there. 134 00:10:14,659 --> 00:10:17,379 And this is Brazil, also the green in Latin America. 135 00:10:17,379 --> 00:10:18,440 And here India is following. 136 00:10:18,440 --> 00:10:22,440 India is following. The big red bubbles are Asian countries going this way. 137 00:10:22,659 --> 00:10:25,639 Many Africans are still with many babies born per woman. 138 00:10:25,980 --> 00:10:30,120 And then Bangladesh over there overtakes India on its way to the small family. 139 00:10:30,240 --> 00:10:32,379 And now almost all go up to this bubble. 140 00:10:32,440 --> 00:10:33,899 Even Africans are starting to move up. 141 00:10:34,039 --> 00:10:36,279 Oh, that was the earthquake in Haiti. 142 00:10:36,720 --> 00:10:38,940 And now everyone ends up there. 143 00:10:39,059 --> 00:10:40,580 What a change we have. 144 00:10:42,779 --> 00:10:46,980 Today, you know, in the world, the average is 2.5. 145 00:10:47,879 --> 00:10:51,940 Imagine, you know, it used to be 50 years ago, five. 146 00:10:52,259 --> 00:10:53,740 And the world has changed. 147 00:10:54,100 --> 00:10:59,519 The average number of babies born per woman have gone from five to 2.5. 148 00:10:59,639 --> 00:11:01,080 And it's still decreasing. 149 00:11:01,500 --> 00:11:02,720 What a big change. 150 00:11:04,399 --> 00:11:08,519 People would think that Bangladesh and countries like that 151 00:11:08,519 --> 00:11:11,659 is some sort of epicenter of a population bomb. 152 00:11:11,899 --> 00:11:13,340 They couldn't be more wrong. 153 00:11:13,340 --> 00:11:19,960 To me, health workers like Mrs Taslima and their colleagues who have taken their countries 154 00:11:19,960 --> 00:11:27,340 from this side all over in a few decades to much better health and small families, they 155 00:11:27,340 --> 00:11:30,279 are the heroes of our time. 156 00:11:30,279 --> 00:11:33,519 It's an amazing change that has happened. 157 00:11:33,519 --> 00:11:37,399 We no longer live in a divided world. 158 00:11:37,399 --> 00:11:42,419 But how much do people know about this amazing change? 159 00:11:42,419 --> 00:11:49,360 But Gapminder, we not only show data, we also measure how much people know or don't know 160 00:11:49,360 --> 00:11:50,980 about the world. 161 00:11:50,980 --> 00:11:54,820 So we did a first survey in Sweden. 162 00:11:54,820 --> 00:11:57,519 The results were depressing. 163 00:11:57,519 --> 00:12:02,399 So we did our second survey in Britain, and we had high hopes, because the British have 164 00:12:02,399 --> 00:12:04,860 been all over the place, you know. 165 00:12:04,860 --> 00:12:07,320 So we thought we would get good results here. 166 00:12:07,320 --> 00:12:13,419 The first question we asked was, how many babies do women have, on average, in Bangladesh? 167 00:12:13,419 --> 00:12:20,240 And we gave four alternatives, 2.5, 3.5, 4.5, or 5.5. 168 00:12:20,240 --> 00:12:29,340 This is the result of the British survey. 169 00:12:29,340 --> 00:12:31,960 But you know the right answer. 170 00:12:31,960 --> 00:12:32,960 It's 2.5. 171 00:12:32,960 --> 00:12:37,940 Only 12% of the British got it right. 172 00:12:37,940 --> 00:12:44,279 So we thought that perhaps it was those with low education who dragged down the result. 173 00:12:44,279 --> 00:12:49,299 So we segmented those who had been to the fine British universities and had a university 174 00:12:49,299 --> 00:12:50,299 degree. 175 00:12:50,299 --> 00:12:51,299 And here they are. 176 00:12:51,299 --> 00:12:58,200 This is the result. 177 00:12:58,200 --> 00:13:01,360 If anything worse. 178 00:13:01,360 --> 00:13:07,759 So now you may conclude that the British lack knowledge about the world. 179 00:13:07,759 --> 00:13:12,059 What if I would have asked this chap and his friends? 180 00:13:12,059 --> 00:13:17,659 I would have written the different answers on bananas and let them pick one banana each, 181 00:13:17,659 --> 00:13:18,820 you know. 182 00:13:18,820 --> 00:13:21,379 This result I would get. 183 00:13:21,379 --> 00:13:29,659 Cause chimps know nothing about bananas. 184 00:13:29,659 --> 00:13:35,879 But by pure random, they will pick twice as many correct answers as the British. 185 00:13:35,879 --> 00:13:43,399 Even of the British, you know, more than half of the British people think it's 4.5 or more. 186 00:13:43,399 --> 00:13:49,480 The problem here is not lack of knowledge, it's preconceived ideas. 187 00:13:49,480 --> 00:13:55,399 The British cannot even imagine, cannot even guess that women in Bangladesh have 2.5, and 188 00:13:55,399 --> 00:13:58,039 you know it's really 2.2 already. 189 00:13:58,039 --> 00:14:02,440 This is what the Brits don't know, that Taslima and her family are the norm in Bangladesh 190 00:14:02,440 --> 00:14:05,799 today, the most common family size. 191 00:14:05,799 --> 00:14:11,000 It's not only there. It's all over the world in Brazil to child families 192 00:14:13,259 --> 00:14:15,259 Vietnam to child families and 193 00:14:17,320 --> 00:14:21,860 Even in India the most common family size is two children today 194 00:14:21,860 --> 00:14:26,639 And also if you go to the African continent you go to the big cities here at this Ababa 195 00:14:26,639 --> 00:14:30,679 You have less than two children per woman today in others happen. They can be 196 00:14:31,179 --> 00:14:34,139 Muslim Buddhist Hindu Christian 197 00:14:34,139 --> 00:14:40,620 There's not one religion, not one culture, not one continent where two-child families 198 00:14:40,620 --> 00:14:42,460 cannot happen. 199 00:14:42,460 --> 00:14:48,259 This change from big families down to two-child families is one of the most important things 200 00:14:48,259 --> 00:14:51,399 that have happened in the world during my lifetime. 201 00:14:51,399 --> 00:14:59,879 It's unprecedented in human history. 202 00:14:59,879 --> 00:15:02,919 Here we are, back in Bangladesh. 203 00:15:02,919 --> 00:15:09,919 find the reasons behind this historic and continuing shift from large to small families. 204 00:15:10,919 --> 00:15:17,919 Almost all girls in Muslim Bangladesh, like 15-year-old Tanjina, go to school today. The 205 00:15:18,299 --> 00:15:25,299 government now even pays families money to keep their daughters on at secondary level. 206 00:15:25,700 --> 00:15:30,700 At Tanjina school, boys are now outnumbered by girls. 207 00:15:30,700 --> 00:15:43,509 You could hardly miss the point of this lesson. 208 00:15:51,429 --> 00:15:57,370 Education is effective, and there are also new opportunities for Bangladeshi women. 209 00:15:57,370 --> 00:16:04,370 Despite continuing inequalities, there are more jobs, and Tanjina is aiming high. 210 00:16:20,370 --> 00:16:25,370 More and more young women here are seeing how different things could be for them. 211 00:16:27,370 --> 00:16:31,370 I don't know why I got married. I can't imagine it. 212 00:16:31,370 --> 00:16:35,370 It's not possible for me to get married in two years. 213 00:16:35,370 --> 00:16:37,370 I got married so quickly. 214 00:16:37,370 --> 00:16:39,370 I don't understand. I made a mistake. 215 00:16:39,370 --> 00:16:42,370 Now no one makes mistakes. 216 00:16:42,370 --> 00:16:46,370 How old were you when you got married? 217 00:16:46,370 --> 00:16:49,370 I was 25. 218 00:16:49,370 --> 00:16:53,370 I finished my studies and got a job. 219 00:16:53,370 --> 00:16:56,370 I became a doctor. 220 00:16:56,370 --> 00:17:09,220 It's wonderful to see Taslima so full of hope for a bright future for her two daughters. 221 00:17:10,160 --> 00:17:14,940 But one essential transformation underpins the change in Bangladesh. 222 00:17:15,680 --> 00:17:18,720 It's a dramatic improvement in child survival. 223 00:17:19,740 --> 00:17:29,420 It's Ramadan, the Muslim month of fasting and reflection. 224 00:17:29,420 --> 00:17:36,420 At this auspicious time, Hanan is helping his parents to tend the family graveyard. 225 00:17:40,420 --> 00:17:45,420 Three of Hanan's siblings died when they were very young. 226 00:17:46,420 --> 00:17:48,420 They are buried here. 227 00:17:59,420 --> 00:18:10,099 Back when Hanan's parents were a young couple, one in five children in Bangladesh died before 228 00:18:10,099 --> 00:18:13,039 they reached five years of age. 229 00:18:13,039 --> 00:18:17,660 All families lived with a constant fear of losing one or more children. 230 00:18:17,660 --> 00:18:42,920 In the last few decades, Bangladesh has made great progress in basic health, particularly 231 00:18:42,920 --> 00:18:44,559 in child survival. 232 00:18:44,559 --> 00:18:50,000 Vaccines, treatment of infections and better nutrition and hygiene have all saved the lives 233 00:18:50,000 --> 00:18:56,559 of millions of children and as parents have come to see that all of their children are now likely 234 00:18:56,559 --> 00:19:04,880 to survive the biggest obstacle to family planning has at last gone even in the slums of dhaka women 235 00:19:04,880 --> 00:19:18,000 now have on average just two children child survival drives everything let's go back into 236 00:19:18,000 --> 00:19:27,279 history why did the world population grow so slowly before 1800 well throughout history all 237 00:19:27,279 --> 00:19:34,559 historical records show us that on average two parents got more or less six children but that 238 00:19:34,559 --> 00:19:42,240 looks as a very fast population growth so why didn't it grow because one two three four of the 239 00:19:42,240 --> 00:19:49,579 children died before growing up to become parents themselves. People in the past never 240 00:19:49,579 --> 00:19:56,319 lived in ecological balance with nature. They died in ecological balance with nature. It 241 00:19:56,319 --> 00:20:04,960 was utterly tragic. But with the Industrial Revolution, this changed. Better wages, more 242 00:20:04,960 --> 00:20:13,200 food tapped water better sanitation soap medical advances you know so why did then from all these 243 00:20:13,200 --> 00:20:20,240 advances why did population grow was it because they got more children no 1963 that year when i 244 00:20:20,240 --> 00:20:25,759 was at school actually the number of children per woman had decreased a little in the world to five 245 00:20:27,119 --> 00:20:34,480 and the reason for the fast population growth was the improved child survivor four survived at that 246 00:20:34,480 --> 00:20:43,680 time but still one out of five died that was still terrible so it's only in the recent decades that 247 00:20:43,680 --> 00:20:49,839 most of the countries have taken big leap forwards in child survival and in family planning so that 248 00:20:49,839 --> 00:20:57,680 we are now approaching the new balance and it's a nice balance two parents on average get two 249 00:20:57,680 --> 00:21:03,200 children that survive we have families in a very happy balance this is the most 250 00:21:03,200 --> 00:21:09,079 normal family situation in the world today and what does this mean for the 251 00:21:09,079 --> 00:21:14,240 future I will show you the projection the best projection into the future from 252 00:21:14,240 --> 00:21:19,160 the the finest demographers we have at the population division of the United 253 00:21:19,160 --> 00:21:24,619 Nations and it looks like this it's going to continue first up to eight and 254 00:21:24,619 --> 00:21:30,539 and then it goes up to nine and then it goes here but see it's slowing down it's slowing down by the 255 00:21:30,539 --> 00:21:38,700 end of the century it's becoming more flat there and if i do a close-up on this you can see that 256 00:21:38,700 --> 00:21:43,420 we are expecting a slowing down and the end of fast population growth 257 00:21:45,259 --> 00:21:49,500 but of course this is a projection that has a certain degree of uncertainty 258 00:21:50,160 --> 00:21:55,079 But we are sure that we are at the end of fast population growth within this century. 259 00:21:56,240 --> 00:22:00,240 It's all due to a remarkable effect of the falling fertility rate. 260 00:22:00,500 --> 00:22:02,319 Look here, if we go back into this. 261 00:22:02,680 --> 00:22:06,099 I'll show this by showing you the number of children in the world. 262 00:22:06,440 --> 00:22:09,980 The number of children from 0 to 15 years of age. 263 00:22:10,180 --> 00:22:10,759 Here they come. 264 00:22:10,960 --> 00:22:11,559 Look. 265 00:22:12,660 --> 00:22:17,500 The number of children there increased slowly and then also it increased rapidly. 266 00:22:17,500 --> 00:22:22,339 So by the turn of the century here, there were 2 billion children in the world. 267 00:22:23,400 --> 00:22:28,200 And to me, that was an important year because that was when Doris was born. 268 00:22:28,400 --> 00:22:29,779 That's my first grandchild. 269 00:22:30,500 --> 00:22:35,180 And she was born at a very special time for children in the world, you know. 270 00:22:35,420 --> 00:22:40,740 Because the specialists, the demographers estimate that from this year, 271 00:22:41,140 --> 00:22:44,319 the number of children in the world will continue like this. 272 00:22:45,019 --> 00:22:47,440 It will not increase any longer. 273 00:22:47,500 --> 00:22:52,640 By the end of the century, we will still have 2 billion children in the world. 274 00:22:53,099 --> 00:22:59,359 When Doris was born is when the world entered into the age of peak child. 275 00:23:00,200 --> 00:23:02,740 The number of children are not increasing. 276 00:23:03,539 --> 00:23:06,259 Now, this will confuse you. 277 00:23:06,259 --> 00:23:13,119 Because how can then the total population grow like this if the children doesn't increase? 278 00:23:13,339 --> 00:23:15,539 Where will all these adults come from? 279 00:23:16,539 --> 00:23:20,279 And to explain that, I have to leave this fancy digital stuff 280 00:23:20,279 --> 00:23:24,440 and show you real powerful educational material we have developed. 281 00:23:24,980 --> 00:23:26,160 And it's here. 282 00:23:27,220 --> 00:23:30,400 I will show you the world population, ladies and gentlemen, 283 00:23:30,619 --> 00:23:33,000 in the form of foam blocks. 284 00:23:35,259 --> 00:23:37,359 One block is one billion. 285 00:23:38,299 --> 00:23:39,880 One block is one billion. 286 00:23:39,880 --> 00:23:43,880 And that means that we have two billion children in the world. 287 00:23:43,880 --> 00:23:51,880 then we have 2 billion between 15 and 30 years of age these are rounded numbers 288 00:23:51,880 --> 00:23:59,380 we have 1 billion 30 to 45 we have 1 billion 45 to 60 and then we have my 289 00:23:59,380 --> 00:24:05,319 block 60 years and older we are here on top this is the world population today 290 00:24:05,319 --> 00:24:11,440 and you can see that there are three billions missing like here only few of 291 00:24:11,440 --> 00:24:15,660 them are missing because they have died most of them are missing because they were never born 292 00:24:15,660 --> 00:24:22,660 because back then you know before 1980 there were much fewer children born in the world because 293 00:24:22,660 --> 00:24:28,319 there were fewer women giving birth to children so this is what we have today now what will happen 294 00:24:28,319 --> 00:24:36,200 in the future do you know what happens to old people like me they die yes there was someone 295 00:24:36,200 --> 00:24:45,539 here who works in hospitals so they die the rest they grow 15 years older and have two billion 296 00:24:45,539 --> 00:24:53,059 children these ones are now old time to die and then these ones grow 15 years older and they have 297 00:24:53,059 --> 00:24:58,900 two billion children this one die and the rest grow 15 years older and have two billion children 298 00:24:58,900 --> 00:25:02,799 And without increasing the number of children, 299 00:25:03,440 --> 00:25:05,859 without increasing the length of life, 300 00:25:05,859 --> 00:25:11,460 we have 3 billion people more by this big, inevitable fill-up of adults, 301 00:25:11,799 --> 00:25:15,400 which will happen just when the large young generations grow up. 302 00:25:15,940 --> 00:25:18,240 Now, there's one more detail, 303 00:25:18,400 --> 00:25:21,240 which is good news for the older ones here, like me, 304 00:25:21,539 --> 00:25:24,900 that it's estimated that the old people will live a little longer. 305 00:25:25,180 --> 00:25:28,740 So we have to add 1 billion more for the old here on the top. 306 00:25:28,900 --> 00:25:33,019 and I'm desperately hoping that I will be part of that group 307 00:25:33,019 --> 00:25:36,359 because then I can live long and read the annual statistic 308 00:25:36,359 --> 00:25:38,519 as they come reporting every year. 309 00:25:38,960 --> 00:25:43,380 But when I talk to many fine environmental activists 310 00:25:43,380 --> 00:25:46,460 which really have a good concern about the environment, 311 00:25:46,920 --> 00:25:47,859 they very often tell me, 312 00:25:48,140 --> 00:25:50,079 we have to stop population growth at 8 billion. 313 00:25:51,319 --> 00:25:52,900 But when I then talk with them, 314 00:25:53,240 --> 00:25:55,980 first they don't know that we have reedspeak child 315 00:25:55,980 --> 00:25:58,420 and then they are completely unaware 316 00:25:58,420 --> 00:26:01,359 that most of the remaining population growth 317 00:26:01,359 --> 00:26:03,480 is an inevitable fill-up of adults. 318 00:26:04,420 --> 00:26:09,660 So we will end up with more or less this amount of people. 319 00:26:10,420 --> 00:26:13,099 So we know how many billions there will be, 320 00:26:13,200 --> 00:26:17,559 but what about where they live now and in the future? 321 00:26:21,819 --> 00:26:25,220 There you have the world, and here are the seven billion. 322 00:26:26,720 --> 00:26:31,440 Now, out of the seven billion, one live in the Americas. 323 00:26:32,200 --> 00:26:33,099 North and south together. 324 00:26:33,740 --> 00:26:35,059 One in Europe. 325 00:26:36,079 --> 00:26:37,839 One in Africa. 326 00:26:38,279 --> 00:26:41,039 And four in Asia. 327 00:26:42,000 --> 00:26:42,839 So this is now. 328 00:26:42,980 --> 00:26:44,140 But how to remember this? 329 00:26:44,220 --> 00:26:46,259 I have a very simple way of remembering this. 330 00:26:46,519 --> 00:26:47,920 I put up the numbers like this, 331 00:26:48,000 --> 00:26:50,240 and then I say, this is the pin code of the world. 332 00:26:50,519 --> 00:26:51,380 One, one, one, four. 333 00:26:52,220 --> 00:26:54,859 Now, what will happen up to mid-century? 334 00:26:55,599 --> 00:26:56,920 Let me know fairly well. 335 00:26:57,839 --> 00:26:59,000 Europe, no increase. 336 00:26:59,079 --> 00:27:01,359 In fact, the European population is decreasing. 337 00:27:01,460 --> 00:27:08,000 In America, a little more people, mainly retired people in Latin America, so it makes no difference. 338 00:27:08,000 --> 00:27:10,700 It's more or less the same. 339 00:27:10,700 --> 00:27:13,859 In Asia, we will have one billion more. 340 00:27:13,859 --> 00:27:17,000 And then the population growth in Asia is over. 341 00:27:17,000 --> 00:27:22,960 In Africa, in the next 40 years, the population will double to two billion. 342 00:27:22,960 --> 00:27:28,500 Now to the end of the century, well, we know quite well no more people in Europe, no more 343 00:27:28,500 --> 00:27:30,259 in America, no more in Asia. 344 00:27:30,259 --> 00:27:34,819 Africa is set, as we have data today, for another doubling. 345 00:27:35,119 --> 00:27:37,460 So there will be four billions in Africa. 346 00:27:38,819 --> 00:27:44,980 The 2100, and probably the final pin code, will be 1145. 347 00:27:46,819 --> 00:27:50,000 So in 2100, there will be quite a different world. 348 00:27:50,480 --> 00:27:54,319 The people who live in what I call the Old West, 349 00:27:54,319 --> 00:27:55,940 in West Europe and North America, 350 00:27:56,099 --> 00:27:58,920 will by then be less than 10% of the world population. 351 00:27:58,920 --> 00:28:03,920 80% of the world population will be living in Asia and Africa. 352 00:28:03,920 --> 00:28:07,920 But will there be resources enough to sustain them? 353 00:28:07,920 --> 00:28:13,920 Well, this will be a huge challenge, and nothing will come automatically. 354 00:28:13,920 --> 00:28:20,920 But my take is that it is possible for all these billions to live well together. 355 00:28:29,099 --> 00:28:34,099 Certainly, it's easy to see the potential for a prosperous and peaceful Asia 356 00:28:34,099 --> 00:28:36,180 with five billion people. 357 00:28:37,180 --> 00:28:40,039 Japan, South Korea and others are already rich. 358 00:28:40,720 --> 00:28:42,759 Following them on the road to wealth 359 00:28:42,759 --> 00:28:47,160 are larger and larger parts of China, India, Indonesia 360 00:28:47,160 --> 00:28:49,259 and many other Asian countries. 361 00:28:49,880 --> 00:28:51,880 Even in poorer Asian countries, 362 00:28:52,140 --> 00:28:54,759 more and more are getting a decent life. 363 00:28:57,119 --> 00:29:01,740 But what about the future Africa, of as much as four billion? 364 00:29:02,720 --> 00:29:06,500 Won't most of them be living in terrible poverty? 365 00:29:08,039 --> 00:29:11,200 I have seen extreme poverty in Africa. 366 00:29:11,880 --> 00:29:17,319 30 years ago, I spent the two most intense years of my life 367 00:29:17,319 --> 00:29:21,200 working as medical doctor in one of the poorest countries, 368 00:29:22,200 --> 00:29:24,940 Mozambique, on the east coast of Africa. 369 00:29:25,759 --> 00:29:28,599 Mozambique had just become independent 370 00:29:28,599 --> 00:29:33,259 after a long war against the colonial power, Portugal. 371 00:29:34,000 --> 00:29:37,799 And my job was to be one of two doctors. 372 00:29:37,940 --> 00:29:41,539 We were both foreigners for 300,000 people. 373 00:29:42,099 --> 00:29:43,839 And this was the hospital. 374 00:29:44,359 --> 00:29:46,940 My wife was also there working as a midwife. 375 00:29:47,740 --> 00:29:49,940 This is the entire staff of the hospital. 376 00:29:49,940 --> 00:29:54,619 Those with white coats had the chance during the colonial period 377 00:29:54,619 --> 00:29:57,619 to get the professional training of at least one year. 378 00:29:57,619 --> 00:30:01,319 The others, many of them, couldn't even read and write. 379 00:30:01,700 --> 00:30:05,579 But they all worked with such dedication and motivation. 380 00:30:06,660 --> 00:30:12,200 But the patients came with the worst diseases of extreme poverty, 381 00:30:12,680 --> 00:30:15,380 and our resources were often not enough. 382 00:30:15,799 --> 00:30:22,039 And especially my skills as a young doctor did not meet the need of the patients. 383 00:30:22,900 --> 00:30:25,859 Mozambique is still today a very poor country. 384 00:30:25,859 --> 00:30:37,299 but things have improved immensely since I was there 30 years ago for a start 385 00:30:37,299 --> 00:30:45,039 there's now a brand new hospital in the town where I worked 30 years ago the new 386 00:30:45,039 --> 00:30:51,579 much bigger hospital has 15 doctors and 11 of them are Mozambicans all the staff 387 00:30:51,579 --> 00:31:00,339 are now well-trained the director of the hospital is dr. Kashimo the obstetrician 388 00:31:00,339 --> 00:31:12,380 the transformation here is amazing to me 389 00:31:21,579 --> 00:31:30,819 They routinely save women in childbirth with cesareans, something that was impossible when 390 00:31:30,819 --> 00:31:49,150 I was there. 391 00:31:49,150 --> 00:31:52,450 Everything has improved so much. 392 00:31:52,450 --> 00:32:01,440 Those born in Mozambique today should have a much brighter future. 393 00:32:01,440 --> 00:32:07,859 Not just because of better health, but a booming economy, too, with busy ports and markets 394 00:32:07,859 --> 00:32:16,099 and new industries with lots of new jobs. 395 00:32:16,099 --> 00:32:21,319 I know you might be thinking that this good news is just about cities and towns. 396 00:32:21,319 --> 00:32:22,779 And it's true. 397 00:32:22,779 --> 00:32:27,859 The worst challenge is in the rural areas where most people live. 398 00:32:27,859 --> 00:32:34,000 But things are changing here too. 399 00:32:34,000 --> 00:32:41,240 Deep in rural northern Mozambique lies the district of Mogo Volas. 400 00:32:41,240 --> 00:32:47,339 This is home for Olivia, Andre and their young family. 401 00:32:47,339 --> 00:32:53,180 Like so many other poor people in the world, Olivia and Andre are farmers, reliant on what 402 00:32:53,180 --> 00:33:00,599 they grow for what they eat. 403 00:33:00,599 --> 00:33:07,349 It's 4 a.m. and the day's tasks beckon. 404 00:33:07,349 --> 00:33:15,029 heads straight to the fields. Olivia first goes to fetch water. Both have to walk miles 405 00:33:15,029 --> 00:33:34,619 to get anywhere. 406 00:33:34,619 --> 00:33:43,900 With no other means of transport, everything has to be carried. 407 00:33:43,900 --> 00:33:47,140 Olivia and Andre have eight children. 408 00:33:47,140 --> 00:33:52,539 Fertility rates are still high in much of rural Africa, and it's the poorest families 409 00:33:52,539 --> 00:33:55,940 who have the most mouths to feed. 410 00:33:55,940 --> 00:33:58,740 Anything this family can spare, they'll sell. 411 00:34:08,500 --> 00:34:29,900 But economic growth is slowly trickling into the countryside. 412 00:34:29,900 --> 00:34:35,300 Now Andre has set his sights on one thing he believes will change everything. 413 00:34:35,300 --> 00:34:48,179 Bicycles can make a huge difference to the lives of the rural poor. 414 00:34:48,179 --> 00:34:52,659 They save hours every day and get so much more done. 415 00:34:52,659 --> 00:34:58,659 With a bicycle, they can carry much heavier loads to the market and earn more money. 416 00:34:58,659 --> 00:35:03,780 They can travel to find work, and if they get sick, they can reach a health clinic in 417 00:35:03,780 --> 00:35:04,780 time. 418 00:35:04,780 --> 00:35:11,780 If you don't have the money, you can't do anything about it. 419 00:35:11,780 --> 00:35:17,780 If you don't have the money, you can't do anything about it. 420 00:35:17,780 --> 00:35:21,780 Andre and Olivia have been putting money away for two years. 421 00:35:21,780 --> 00:35:24,780 They haven't quite enough yet. 422 00:35:24,780 --> 00:35:29,780 Everything now depends on the sesame seeds, which they are just harvesting. 423 00:35:29,780 --> 00:35:33,780 If they can get a good price, they might just make it. 424 00:35:34,460 --> 00:35:34,980 Cinco. 425 00:35:37,179 --> 00:35:40,579 Andrea and Olivia live in one of the poorest countries. 426 00:35:40,800 --> 00:35:44,480 And they live in the rural area, which is the poorest part of that country. 427 00:35:45,039 --> 00:35:48,559 So how many people are there in the world living like they? 428 00:35:48,900 --> 00:35:50,780 And how many are there that are poorer? 429 00:35:51,119 --> 00:35:52,960 I'm going to show you this joystick. 430 00:35:53,380 --> 00:35:54,000 Very simple. 431 00:35:54,400 --> 00:35:55,840 Poor and rich. 432 00:35:56,400 --> 00:35:59,500 And here I have all the seven billions again. 433 00:35:59,500 --> 00:36:03,000 They are in a very simplified way lined up there 434 00:36:03,000 --> 00:36:04,780 from the poorest to the richest. 435 00:36:05,480 --> 00:36:09,739 Now, how much does the richest billion earn here 436 00:36:09,739 --> 00:36:11,519 in a dollar per day? 437 00:36:11,920 --> 00:36:12,980 Let's look here. 438 00:36:13,460 --> 00:36:16,340 Ooh, ooh, it's coming up, it's coming up. 439 00:36:16,440 --> 00:36:17,900 Ooh, yo, yo, yo, yo. 440 00:36:18,019 --> 00:36:19,980 I can't even reach $100 a day. 441 00:36:21,260 --> 00:36:23,599 Then let's look at the middle billion, 442 00:36:24,039 --> 00:36:25,179 who is exactly in the middle. 443 00:36:25,380 --> 00:36:26,639 How much do they earn? 444 00:36:26,639 --> 00:36:28,539 It will come, yes, yes. 445 00:36:29,500 --> 00:36:38,820 just 10. And then I go over here to the poorest billion. How much do they get? Well, just 446 00:36:38,820 --> 00:36:46,699 one. This is the difference of the world today. And the economists, they draw a line which 447 00:36:46,699 --> 00:36:52,280 they call the line for extreme poverty, a little above $1. That's when you hardly can 448 00:36:52,280 --> 00:36:57,679 have enough food to feed the family. You cannot be sure that you have food all day. And $1 449 00:36:57,679 --> 00:37:02,800 billion is clearly below that still and the second billion is sort of divided by that line 450 00:37:02,800 --> 00:37:10,179 and and then the others are above it now the poorest people they can hardly afford to buy shoes 451 00:37:10,179 --> 00:37:16,519 and when they get shoes the next thing they will save for is bicycle this is where andrea and 452 00:37:16,519 --> 00:37:23,179 olivia is and after bicycle you will go for the motorbike and then after the motorbike it's the 453 00:37:23,179 --> 00:37:30,599 car and i remember when my family got the first car it was a small gray volkswagen the first 454 00:37:30,599 --> 00:37:35,280 thing we did was to go to norway on holiday because norway is so much more beautiful than 455 00:37:35,280 --> 00:37:43,139 sweden it was a fantastic trip and and now i'm i'm in this group i can go like the richest billion 456 00:37:43,139 --> 00:37:48,320 we can go on holiday by airplanes of course there are people who are much richer than the airplane 457 00:37:48,320 --> 00:37:53,539 people. Some are so rich, so they're even contemplating that they should go as tourists 458 00:37:53,539 --> 00:38:00,260 out into space. And the difference in income from the airplane people to the very richest over there 459 00:38:00,260 --> 00:38:07,320 is almost as big as it is from the airplane people here, you know, all the way down to the poorest in 460 00:38:07,320 --> 00:38:15,940 that side. Now, the most important to remember from this joystick is this. And I need to show 461 00:38:15,940 --> 00:38:24,019 this i need my step ladder sometimes you need some old well-functioning technology also here 462 00:38:29,500 --> 00:38:38,380 i can only reach up here they are now i'm at the top the problem for us living on 100 a day 463 00:38:38,380 --> 00:38:44,619 is that when we look down on those who have ten dollar or one dollar they look equally poor 464 00:38:45,500 --> 00:38:46,800 We can't see the difference. 465 00:38:47,079 --> 00:38:50,739 It looks as if everyone is living on the same amount of money. 466 00:38:51,179 --> 00:38:52,480 And they say, oh, they are all poor. 467 00:38:53,179 --> 00:38:55,059 No, I can assure you, 468 00:38:55,920 --> 00:38:59,880 because I've met and talked with people who live down here, 469 00:38:59,880 --> 00:39:03,719 and I can assure you that the people down here, 470 00:39:04,159 --> 00:39:08,840 they know very well how much better life would be 471 00:39:08,840 --> 00:39:11,119 if they would move from $1 to $10, 472 00:39:11,460 --> 00:39:12,800 10 times as much income. 473 00:39:13,699 --> 00:39:15,840 This is a huge difference. 474 00:39:16,519 --> 00:39:19,199 And to understand this, 475 00:39:19,460 --> 00:39:22,559 this is what Olivia and Andre is trying to do now. 476 00:39:23,179 --> 00:39:27,320 Each little step they take along this line here, 477 00:39:27,960 --> 00:39:30,539 from the shoes towards the bicycle, 478 00:39:31,219 --> 00:39:34,280 small as it may seem from far distant, 479 00:39:34,420 --> 00:39:36,699 make a huge difference in their life. 480 00:39:36,699 --> 00:39:40,579 And if Andre and Olivia would get that bicycle, 481 00:39:40,840 --> 00:39:42,619 it would speed them along, 482 00:39:42,800 --> 00:39:50,960 to better life and better wealth up in this end today andrea and olivia are preparing to sell the 483 00:39:50,960 --> 00:40:08,800 sesame crop they've been growing for many months but andrea and olivia will have to be careful 484 00:40:08,800 --> 00:40:11,500 if they are to get paid the proper price. 485 00:40:36,400 --> 00:40:38,480 Andre is going to do the selling. 486 00:40:38,800 --> 00:40:44,400 And for the last time, he hopes, he has to get help to transport the crop to market. 487 00:40:48,119 --> 00:40:51,199 Andre now needs to keep his wits about him. 488 00:40:58,199 --> 00:41:02,440 The deal is done, and Andre is happy with the price he's got. 489 00:41:08,800 --> 00:41:14,800 It's the moment the family have worked so hard for. 490 00:41:33,380 --> 00:41:37,380 Andre's journey to market took all morning to walk. 491 00:41:37,380 --> 00:41:42,380 Now, in less than an hour, he can ride home. 492 00:41:50,320 --> 00:42:06,030 The bicycle is put to use at once. 493 00:42:06,030 --> 00:42:09,289 The children fetch water with it. 494 00:42:09,289 --> 00:42:12,389 Andrea carries more crops to the market. 495 00:42:12,389 --> 00:42:18,250 And just as importantly, Olivia and Andrea can now easily reach their lessons for adults, 496 00:42:18,250 --> 00:42:40,239 so they can learn better math and how to read and write. 497 00:42:40,239 --> 00:42:46,699 It's so great to see Olivia and Andre pedaling their way out of extreme poverty. 498 00:42:46,699 --> 00:42:50,840 And they use the bicycle to go to literacy classes. 499 00:42:50,840 --> 00:42:58,920 is so important for the progress of people and nations but how many know what has really 500 00:42:58,920 --> 00:43:04,039 happened with education in the world time for the great british ignorance survey again 501 00:43:05,000 --> 00:43:11,159 here we are we asked what percent of adults in the world today are literate can read and write 502 00:43:12,280 --> 00:43:16,199 can i ask the audience how many guess 20 hands up 503 00:43:16,199 --> 00:43:39,320 40% 60% and 80% this is the result of the British sample no by now you can use the result of the 504 00:43:39,320 --> 00:43:45,739 British survey to find out what the right right answer is isn't it of course it's 80% that is 505 00:43:45,739 --> 00:43:53,500 the right answer at least you were clearly better than the british average just 80 of the population 506 00:43:53,500 --> 00:43:58,780 in the world can read and write today literacy is 80 actually the last figure is a little higher 507 00:44:00,139 --> 00:44:06,699 so if i would have compared that with the chimps again you know so it's once more you only get 508 00:44:06,699 --> 00:44:12,300 random results from the shims but you get three times as many correct answers than you get from 509 00:44:12,300 --> 00:44:21,900 the British and now the university people perhaps they know this or even worse what on earth are 510 00:44:21,900 --> 00:44:28,460 they teaching at British universities the common view about the world is outdated with several 511 00:44:28,460 --> 00:44:34,860 decades the media have missed to communicate it but perhaps this is because the world is changing 512 00:44:34,860 --> 00:44:42,179 so fast. Ladies and gentlemen, I'm going to give you my all-time favorite graph. I'm going 513 00:44:42,179 --> 00:44:50,320 to show you the history of 200 countries during 200 years in less than one minute. I have 514 00:44:50,320 --> 00:44:59,840 an axis for income. I have an axis for lifespan. I start in 1800, and there are all the countries. 515 00:44:59,840 --> 00:45:04,059 And back in 1800, everyone was down in the poor and sick corner. 516 00:45:04,179 --> 00:45:06,619 Can you see? Low lifespan, little money. 517 00:45:06,960 --> 00:45:09,460 And here comes the effect of the Industrial Revolution. 518 00:45:09,820 --> 00:45:13,360 Of course, the countries in West Europe, they are coming to better wealth, 519 00:45:13,519 --> 00:45:15,500 but they are not getting much healthier in the beginning. 520 00:45:15,760 --> 00:45:19,260 And those under colonial domination doesn't benefit anything in there. 521 00:45:19,420 --> 00:45:21,380 They remain there in the sick and poor corner. 522 00:45:21,579 --> 00:45:24,679 And now health is improving, health is slowly improving here. 523 00:45:24,880 --> 00:45:27,539 It's getting up here, and we are coming into the new century 524 00:45:27,539 --> 00:45:29,219 and the terrible First World War. 525 00:45:29,219 --> 00:45:36,619 and then the economic recession after that and then the second world war and now independence 526 00:45:36,619 --> 00:45:41,659 and with independence health is improving faster than it ever did in other countries here 527 00:45:41,659 --> 00:45:47,900 and now starts the fast economic catch-up of china and other latin american countries they 528 00:45:47,900 --> 00:45:53,280 come on here you know and india is following there and the african countries is also following 529 00:45:53,280 --> 00:45:56,239 It's an amazing change that has happened in the world. 530 00:45:56,760 --> 00:46:01,159 You know, in the front here, we have now U.S. and U.K. 531 00:46:01,280 --> 00:46:03,159 But they're not moving so fast any longer. 532 00:46:03,500 --> 00:46:05,659 The fast movers are here in the middle. 533 00:46:06,039 --> 00:46:08,039 China is moving very fast to catch up. 534 00:46:08,400 --> 00:46:12,460 And Bangladesh, look, Bangladesh is already here, now quite healthy, 535 00:46:12,820 --> 00:46:15,139 and now starting with fast economic growth. 536 00:46:15,239 --> 00:46:17,539 And Mozambique, yes, Mozambique is back there, 537 00:46:17,780 --> 00:46:20,440 but they are now moving fast in the right direction. 538 00:46:20,440 --> 00:46:24,599 But all this I show you is country averages. 539 00:46:25,760 --> 00:46:27,000 What about people? 540 00:46:27,420 --> 00:46:29,960 Have people also got a better life? 541 00:46:30,380 --> 00:46:32,079 I'm now going to show you something 542 00:46:32,079 --> 00:46:34,599 which makes me very excited as a statistician. 543 00:46:34,820 --> 00:46:36,780 I'm going to show you income distribution, 544 00:46:37,159 --> 00:46:38,500 the difference between people. 545 00:46:39,019 --> 00:46:42,519 And to do that, I take the bubbles back 50 years, 546 00:46:42,739 --> 00:46:45,719 and then we are going to look only at money. 547 00:46:46,059 --> 00:46:49,380 And to do that, we have to expand and adjust the axis 548 00:46:49,380 --> 00:46:52,460 because the richest is so rich and the poorest is so poor. 549 00:46:52,679 --> 00:46:55,320 So there will be a bigger difference than between the countries. 550 00:46:55,739 --> 00:46:59,480 And what we do now is that we let the country fall down here, 551 00:46:59,559 --> 00:47:00,619 this is United States, 552 00:47:00,760 --> 00:47:03,539 and spread to show the range within the country. 553 00:47:03,820 --> 00:47:06,639 And I take down all the countries in the Americas. 554 00:47:07,019 --> 00:47:10,719 And now you can see from the richest person to the poorest person. 555 00:47:11,000 --> 00:47:15,260 And the height here shows you how many there are on each income level. 556 00:47:15,619 --> 00:47:17,480 And now let's take down Europe. 557 00:47:17,480 --> 00:47:21,699 and on top of that I'm going to put Africa 558 00:47:21,699 --> 00:47:26,400 and finally the region with most people 559 00:47:26,400 --> 00:47:28,239 on top of everything, Asia. 560 00:47:30,440 --> 00:47:36,159 Now, in 1963, the world was constituted by two humps. 561 00:47:37,199 --> 00:47:38,699 First, the richest hump. 562 00:47:38,739 --> 00:47:40,019 It's like a camel, isn't it? 563 00:47:40,179 --> 00:47:42,260 The first hump here with the richest 564 00:47:42,260 --> 00:47:44,119 is mainly Europe and the Americas 565 00:47:44,119 --> 00:47:49,179 And the poorest hump over here is mainly Asia and Africa. 566 00:47:49,880 --> 00:47:51,719 And the poverty line was there. 567 00:47:52,460 --> 00:47:57,699 Can you see how many people there were in extreme poverty 50 years ago? 568 00:47:58,440 --> 00:48:00,139 And most of them were in Asia. 569 00:48:00,239 --> 00:48:03,300 And people were saying Asia will never get out of poverty. 570 00:48:03,440 --> 00:48:06,159 Except that some people are still saying about Africa today. 571 00:48:06,699 --> 00:48:07,960 Now, what has happened? 572 00:48:08,440 --> 00:48:09,539 I start the world. 573 00:48:09,900 --> 00:48:13,099 And you can see that many people are born into poverty here. 574 00:48:13,099 --> 00:48:19,380 but Asia goes towards higher income and one billion goes out of extreme poverty this way 575 00:48:19,380 --> 00:48:26,559 and the whole shape of the world change and the camel is dead it's reborn as a dromedary 576 00:48:26,559 --> 00:48:35,500 and what you can see here you know is the variation from the richest that is most people 577 00:48:35,500 --> 00:48:41,059 in the middle and there's a much smaller proportion of the world now in extreme poverty 578 00:48:41,059 --> 00:48:46,460 But be careful. It's still a lot of people, more than one billion people in extreme poverty. 579 00:48:47,099 --> 00:48:56,659 Now the question is, can this move out of extreme poverty now continue for those in Africa and even for the new billions in Africa? 580 00:48:59,829 --> 00:49:06,809 I think it's possible, even probable, that most countries in Africa will rise out of poverty too. 581 00:49:07,369 --> 00:49:12,369 It will need wise action and huge investment, but it can happen. 582 00:49:13,590 --> 00:49:19,590 The many countries of Africa are not all advancing at the same pace. 583 00:49:19,590 --> 00:49:24,590 A few are moving very fast, others are stuck in conflict. 584 00:49:24,590 --> 00:49:28,590 But most, like Mozambique, are now making steady progress. 585 00:49:30,590 --> 00:49:35,590 And what about feeding all the new African people in the future? 586 00:49:35,590 --> 00:49:38,590 Yes, there are shortages today. 587 00:49:38,590 --> 00:49:41,590 But there is also much potential here. 588 00:49:41,590 --> 00:49:48,590 Agricultural yields in Africa are just a fraction of what they could be with better technology. 589 00:49:48,590 --> 00:49:57,139 And Africa's rivers are barely tapped for irrigation. 590 00:49:57,139 --> 00:50:06,139 One day, Africa could hum with combined harvesters and tractors and grow food for many more billions. 591 00:50:06,139 --> 00:50:11,139 And please, don't imagine it's just me who thinks Africa can make it. 592 00:50:11,139 --> 00:50:16,380 The United Nations is about to set itself a new official goal, 593 00:50:16,780 --> 00:50:20,420 eliminating extreme poverty within 20 years. 594 00:50:21,239 --> 00:50:23,400 Everyone understands it's a huge challenge, 595 00:50:23,659 --> 00:50:26,000 but I seriously believe it's possible. 596 00:50:28,159 --> 00:50:29,980 Imagine if that would happen. 597 00:50:30,480 --> 00:50:35,139 Now, what we have seen so far is that the rich end, it moves, 598 00:50:35,960 --> 00:50:38,139 and the middle, it moves. 599 00:50:38,139 --> 00:50:41,260 But this poorest end is stuck. 600 00:50:42,400 --> 00:50:47,059 It's here in extreme poverty we find almost all the illiteracy. 601 00:50:47,400 --> 00:50:51,659 Here we find high child mortality and still many babies born per woman. 602 00:50:52,119 --> 00:50:58,820 It's like extreme poverty reproduces itself if you don't end it swiftly. 603 00:50:59,559 --> 00:51:05,239 But Andrea and Olivia and people like them, they work so hard to get away from it. 604 00:51:05,239 --> 00:51:21,019 And if they only can get the right help from their government and from the world at large with things like school, health, vaccines, roads, electricity, contraceptives, then they will manage. 605 00:51:21,139 --> 00:51:25,039 But they will mainly manage by their own hard work. 606 00:51:25,860 --> 00:51:31,820 Here we go, you know, go on, follow Andrea and Olivia across the line, you know. 607 00:51:31,820 --> 00:51:36,119 It is possible within some decades, yes. 608 00:51:37,019 --> 00:51:40,860 But getting out of poverty is just the beginning. 609 00:51:41,579 --> 00:51:46,400 People want to continue along this line to a good life. 610 00:51:47,079 --> 00:51:48,699 But what does a good life mean? 611 00:51:50,679 --> 00:51:54,699 For most people in the world, the good life they are striving for 612 00:51:54,699 --> 00:51:57,980 will mean more machines and much more use of energy. 613 00:51:57,980 --> 00:52:04,239 So there's a problem, because all this adds to one of the great threats for the future, 614 00:52:04,639 --> 00:52:06,320 severe climate change. 615 00:52:07,480 --> 00:52:11,920 80% of the energy the world uses is still fossil fuels. 616 00:52:12,719 --> 00:52:17,380 And the science shows that the climate may change dramatically in the future 617 00:52:17,380 --> 00:52:23,960 because of the carbon dioxide emission from continuing to burn all these fossil fuels. 618 00:52:24,719 --> 00:52:31,329 I'm not the best person to tell you how bad climate change will be. 619 00:52:31,769 --> 00:52:34,530 Nor am I a specialist on how to prevent it. 620 00:52:34,889 --> 00:52:38,650 What I can do is to show you data to make you understand 621 00:52:38,650 --> 00:52:41,869 who is the one that emits the carbon dioxide. 622 00:52:42,630 --> 00:52:43,869 I will show this. 623 00:52:44,670 --> 00:52:45,750 You remember? 624 00:52:46,309 --> 00:52:49,349 The yardstick from the poorest billion to the richest billion. 625 00:52:49,809 --> 00:52:53,630 From the one who hardly can afford shoes to the one who fly with airplanes. 626 00:52:53,630 --> 00:53:02,630 Now, this shows the total amount of fossil fuel used in the world during one year. 627 00:53:02,630 --> 00:53:05,630 Coal, oil, and natural gas. 628 00:53:05,630 --> 00:53:09,630 And it represents more or less the total emission of carbon dioxide. 629 00:53:09,630 --> 00:53:12,630 Now, how much of that is used by the richest billion? 630 00:53:14,630 --> 00:53:15,630 Half of it. 631 00:53:16,630 --> 00:53:18,630 Now, the second richest billion? 632 00:53:19,630 --> 00:53:21,630 Half of what's left. 633 00:53:21,630 --> 00:53:28,230 Then you understand what the third use, half of what left, and the others use hardly anything. 634 00:53:28,789 --> 00:53:37,949 This is rounded numbers, but it clearly shows, you know, that almost all the fossil fuel is used here by the one, two, three richest billions. 635 00:53:38,550 --> 00:53:40,349 More than 85% they use. 636 00:53:40,670 --> 00:53:47,789 Now, the richest billion here at least have stopped increasing, but we are yet to see whether they will decrease. 637 00:53:48,550 --> 00:53:52,849 And in the coming decades, it's the economic growth of these two 638 00:53:52,849 --> 00:53:57,570 that will increase the fossil fuel use and the carbon dioxide emission. 639 00:53:57,869 --> 00:54:01,349 Even if these ones over here come out of extreme poverty 640 00:54:01,349 --> 00:54:03,610 and get richer all the way to the motorbike, 641 00:54:03,849 --> 00:54:07,570 that doesn't contribute much to the emission of carbon dioxide. 642 00:54:08,210 --> 00:54:10,090 And regarding population growth, 643 00:54:10,090 --> 00:54:14,949 most of the additional billions in the next 40 years will be in this group here. 644 00:54:14,949 --> 00:54:20,110 But still, if you ask people in the richest end, they seem to get everything wrong. 645 00:54:20,670 --> 00:54:24,769 They look down on the world from their very high emission and then they say, 646 00:54:25,190 --> 00:54:28,550 oh, those over there, you cannot live like us. 647 00:54:28,769 --> 00:54:30,309 You will destroy the planet. 648 00:54:31,650 --> 00:54:37,730 You see, I find the argument from the people here catching up to be much more correct than logic. 649 00:54:38,309 --> 00:54:42,750 They say, huh, who are you to tell us that we can't live like you? 650 00:54:42,750 --> 00:54:47,409 You better change first if you want us to do it differently. 651 00:54:50,570 --> 00:54:56,170 There are many essentials to having a good life that billions in the world do not yet have. 652 00:54:56,750 --> 00:55:01,750 Andres' village and house, and so many like them, don't even have electricity. 653 00:55:03,889 --> 00:55:06,250 Mozambique has huge coal reserves. 654 00:55:06,250 --> 00:55:11,250 And if it and the other poorest countries build affordable new power stations, 655 00:55:11,250 --> 00:55:14,250 burning coal for electricity and industry, 656 00:55:14,250 --> 00:55:19,250 I don't think anyone who emits more carbon should interfere. 657 00:55:19,250 --> 00:55:23,250 Now, what I'm going to do is ask you two questions 658 00:55:23,250 --> 00:55:26,250 that I often ask my Swedish students. 659 00:55:26,250 --> 00:55:28,250 The first one is this. 660 00:55:28,250 --> 00:55:33,250 How many of you have not traveled by an airplane this year? 661 00:55:33,250 --> 00:55:35,250 Uh-huh. 662 00:55:35,250 --> 00:55:42,369 quite a few can do without flying so the next question is how many of you have stayed away 663 00:55:42,369 --> 00:55:49,369 from washing machines and you have hand washed all bed sheets clothes and laundry during the last year 664 00:55:49,369 --> 00:55:57,949 i thought so no one everyone who can afford use washing machine even the hardcore in the 665 00:55:57,949 --> 00:56:03,750 environmental movement and i still remember the day when my family got the washing machine 666 00:56:03,750 --> 00:56:07,050 It was the 1st of November, 1952. 667 00:56:07,750 --> 00:56:11,329 Grandma was invited to be the first to load the machine. 668 00:56:11,690 --> 00:56:15,230 She had hand-washed her entire life for a family of nine. 669 00:56:15,710 --> 00:56:19,829 And when she loaded the machine, she sat down on a footstool 670 00:56:19,829 --> 00:56:23,909 and she watched the entire program during one hour. 671 00:56:24,409 --> 00:56:26,230 She was absolutely mesmerized. 672 00:56:26,789 --> 00:56:32,309 For my mother, it also meant a lot of more free time to do other things. 673 00:56:32,929 --> 00:56:34,289 She could read books for me. 674 00:56:34,489 --> 00:56:36,090 I think that's what made me professor. 675 00:56:37,329 --> 00:56:38,969 No wonder we said, 676 00:56:39,409 --> 00:56:40,869 thank you, steel mill. 677 00:56:41,110 --> 00:56:43,190 Thank you, washing powder factory. 678 00:56:43,550 --> 00:56:45,550 Thank you, electrical power station. 679 00:56:48,360 --> 00:56:53,980 Now, when thinking about where all this leave us, 680 00:56:53,980 --> 00:56:57,300 I have just one little humble advice to you. 681 00:56:57,619 --> 00:57:00,039 Beside everything else, look at the data. 682 00:57:01,179 --> 00:57:02,960 Look at the facts about the world. 683 00:57:02,960 --> 00:57:05,340 and you will see where we are today 684 00:57:05,340 --> 00:57:07,920 and how we can move forwards 685 00:57:07,920 --> 00:57:10,880 with all these billions on our wonderful planet. 686 00:57:12,460 --> 00:57:14,739 The challenge of extreme poverty 687 00:57:14,739 --> 00:57:16,340 have been greatly reduced 688 00:57:16,340 --> 00:57:18,519 and it's for the first time in history 689 00:57:18,519 --> 00:57:21,280 within our power to end it for good. 690 00:57:22,659 --> 00:57:25,079 The challenge of population growth 691 00:57:25,079 --> 00:57:27,780 is in fact already being solved. 692 00:57:27,780 --> 00:57:30,019 The number of children have stopped growing. 693 00:57:30,019 --> 00:57:36,500 And for the challenge of climate change, we can still avoid the worst. 694 00:57:37,760 --> 00:57:44,079 But that requires that the richest, as soon as possible, 695 00:57:44,699 --> 00:57:50,320 find a way to set their use of resources and energy at a level 696 00:57:50,320 --> 00:57:56,739 that step by step can be shared by 10 billions or 11 billions by the end of this century. 697 00:57:57,480 --> 00:58:00,880 I've never called myself an optimist. 698 00:58:01,340 --> 00:58:08,260 But I do say I'm a possibilities and I also say the world is much better than many of you think 699 00:58:08,659 --> 00:58:10,659 Thank you very much