0:00:04.280,0:00:07.753 Visualization is right at the heart of my own work too. 0:00:08.453,0:00:13.468 I teach Global Health, and I know[br]having the data is not enough. 0:00:13.468,0:00:17.629 I have to show it in ways people[br]both enjoy and understand. 0:00:19.030,0:00:24.894 Now I'm going to try something I've never done[br]before, animating the data in real space, 0:00:25.714,0:00:28.294 with a bit of technical assistance from the crew. 0:00:30.435,0:00:34.022 So here we go, first an axis for health, 0:00:34.022,0:00:38.640 life expectancy from 25 years to 75 years. 0:00:38.640,0:00:46.010 And down here an axis for wealth,[br]income per person 400, 4,000, and $40,000. 0:00:46.780,0:00:53.150 So down here is poor and sick,[br]and up here is rich and healthy. 0:00:54.200,0:01:00.010 Now I'm going to show you[br]the world 200 years ago, in 1810. 0:01:00.970,0:01:05.853 Here come all the countries Europe brown,[br]Asia red, Middle East green, 0:01:05.853,0:01:09.414 Africa South of the Sahara blue,[br]and the Americas yellow. 0:01:09.414,0:01:13.040 And the size of the country bubble[br]show the size of the population. 0:01:13.930,0:01:17.450 And in 1810 it was pretty[br]crowded down there, wasn't it? 0:01:17.450,0:01:23.344 All countries were sick and poor, life[br]expectancy were below 40 in all countries. 0:01:23.344,0:01:27.798 And only the UK and the Netherlands[br]were slightly better off, but not much. 0:01:28.498,0:01:30.755 And now, why start the world. 0:01:32.562,0:01:38.208 The Industrial Revolution makes countries in[br]Europe and elsewhere move away from the rest. 0:01:38.780,0:01:42.790 But the colonized countries in Asia and[br]Africa, they are stuck down there. 0:01:43.670,0:01:47.487 And eventually the Western countries[br]get healthier and healthier. 0:01:48.147,0:01:53.537 And now we slow down, to show[br]the impact of the First World War, 0:01:53.537,0:01:56.910 and the Spanish flu epidemic, what a catastrophe. 0:01:58.210,0:02:02.430 And now I speed up through the 1920s and the 1930s, 0:02:02.430,0:02:04.280 and in spite of the Great Depression, 0:02:04.280,0:02:07.420 western countries forge on towards[br]greater wealth and health. 0:02:07.420,0:02:11.540 Japan and some others try to follow,[br]but most countries stay down here. 0:02:12.120,0:02:15.406 Now, after the tragedies of the Second World War, 0:02:15.406,0:02:18.504 we stop a bit to look at the world in 1948. 0:02:19.304,0:02:22.816 1948 was a great year, the war was over, 0:02:23.276,0:02:27.425 Sweden topped the medal table at[br]the Winter Olympics, and I was born. 0:02:27.805,0:02:32.040 But the differences between the countries[br]of the world was wider than ever. 0:02:32.590,0:02:38.440 United States was in the front, Japan[br]was catching up, Brazil was way behind, 0:02:38.440,0:02:42.820 Iran was getting a little richer[br]from oil, but still had short lives. 0:02:42.820,0:02:47.570 And the Asian giants, China,[br]India, Pakistan, Bangladesh and 0:02:47.570,0:02:50.810 Indonesia, they were still poor and sick down here. 0:02:50.810,0:02:53.950 But look what is about to happen, here we go again. 0:02:53.950,0:02:57.448 In my lifetime former colonies gained independence and 0:02:57.448,0:03:02.190 then finally they started to get[br]healthier and healthier and healthier. 0:03:02.190,0:03:05.744 And in the 1970s then countries in Asia and 0:03:05.744,0:03:08.620 Latin America started to catch[br]up with the Western countries. 0:03:08.620,0:03:11.020 They became the emerging economies, 0:03:11.020,0:03:16.220 some in Africa follows, some Africans were[br]stuck in civil war, and others hit by HIV. 0:03:16.220,0:03:21.060 And now, we can see the world today[br]in the most up-to-date statistics. 0:03:23.050,0:03:25.530 Most people today live in the middle, 0:03:25.530,0:03:31.180 but there's a huge difference at the same time between[br]the best off countries and the worst off countries. 0:03:31.180,0:03:34.439 And there are huge inequalities within countries. 0:03:34.439,0:03:37.920 These bubbles show country[br]averages, but I can split them. 0:03:38.630,0:03:41.080 Take China, I can split it into provinces,[br] 0:03:42.040,0:03:44.040 there goes Shanghai. 0:03:45.040,0:03:47.635 It has the same wealth and health as Italy today. 0:03:47.635,0:03:52.495 And there is the poor inline province[br]Guizhou, it is like Pakistan, 0:03:52.495,0:03:57.606 and if I split it further, the rural[br]parts are like Ghana in Africa. 0:03:59.610,0:04:06.352 And yet despite the enormous disparities today,[br]we have seen 200 years of remarkable progress, 0:04:07.032,0:04:11.110 that huge historical gap between[br]the west and the rest is now closing. 0:04:11.580,0:04:15.090 We have become an entirely new converging world, 0:04:15.530,0:04:20.430 and I see a clear trend into the future with[br]aid, trade, green technology, and peace. 0:04:20.430,0:04:25.167 It's fully possible that everyone can[br]make it to the healthy wealthy corner. 0:04:28.170,0:04:31.091 Well what you've just seen in the last few minutes 0:04:31.091,0:04:36.170 is a story of 200 countries shown[br]over 200 years and beyond. 0:04:36.170,0:04:42.456 It involved plotting 120,000 numbers, pretty neat uh?