WEBVTT 00:04.360 --> 00:07.940 Prof: As you may have noticed, the course has been 00:07.935 --> 00:10.165 proceeding somewhat historically. 00:10.170 --> 00:14.710 First with pre-primate animals, the whole evolution of sex from 00:14.712 --> 00:19.702 things that swam in the ocean, and then we discussed the 00:19.700 --> 00:23.710 primate mating system as you've seen-- 00:23.710 --> 00:28.370 in the same sense as on the board. 00:28.370 --> 00:32.610 The first--the pre-primate is a few millions of years--I'm 00:32.607 --> 00:35.207 sorry, tens of millions of years; 00:35.210 --> 00:40.760 primates maybe ten million years or so. 00:40.760 --> 00:44.460 Then last time we started discussing the transition from 00:44.459 --> 00:47.019 ape to human, and evolutionarily modern 00:47.015 --> 00:50.845 humans date to something like 150 thousand years ago. 00:50.850 --> 00:56.230 We're coming up to time and today we're going to discuss 00:56.227 --> 00:59.647 fully anatomically modern humans. 00:59.650 --> 01:03.200 They have the same brain capacity that we do, 01:03.197 --> 01:04.887 etcetera, etcetera. 01:04.890 --> 01:08.710 The earliest groups that we have any kind of decent 01:08.706 --> 01:13.206 demographic data on are hunter gatherers which would include 01:13.209 --> 01:17.709 cavemen and people that are hunter gatherers but do not live 01:17.714 --> 01:18.864 in caves. 01:18.860 --> 01:24.320 Last time we asked why there were so few chimps and so many 01:24.322 --> 01:29.692 humans and today we're going to ask very similar questions 01:29.692 --> 01:31.602 about-- we're going to start with, 01:31.602 --> 01:32.712 we're going to cover a lot more; 01:32.709 --> 01:36.129 we're going to ask very similar questions about hunter 01:36.134 --> 01:36.914 gatherers. 01:36.910 --> 01:40.170 There never was a great density of hunter gatherers. 01:40.170 --> 01:46.910 There is certainly not now and the question is, 01:46.910 --> 01:47.790 why? 01:47.790 --> 01:50.540 If you look where hunter gatherers live now they-- 01:50.540 --> 01:53.230 each small group, and the again the small group 01:53.232 --> 01:56.922 is the same size we've been talking about something like 40, 01:56.920 --> 02:00.280 are spread out over a very large area and they use that 02:00.284 --> 02:03.404 area to hunt in and to collect fruits and nuts, 02:03.400 --> 02:07.270 and whatever they can get from the trees. 02:07.269 --> 02:11.969 It looks like a very simple question, why is the density of 02:11.972 --> 02:14.082 hunter gatherers so low? 02:14.080 --> 02:16.660 Why are there so few of them? 02:16.658 --> 02:19.288 For a long time, the answer was: 02:19.288 --> 02:21.748 they didn't have much food. 02:21.750 --> 02:28.010 That they needed all this space to get enough food to survive, 02:28.008 --> 02:34.268 and if they overpopulated that space they couldn't survive. 02:34.270 --> 02:38.030 In sort of modern hubris, we looked back and thought 02:38.026 --> 02:41.626 hunter gatherer is a very inefficient form of food 02:41.634 --> 02:45.394 gathering, not modern, and we're so much 02:45.389 --> 02:47.399 better than them now. 02:47.400 --> 02:58.850 The data is quite clear on some part of those assumptions; 02:58.848 --> 03:02.058 hunter gatherers, at the time when all human 03:02.060 --> 03:05.350 beings were in the stage of hunter gatherers, 03:05.346 --> 03:09.076 before--farming starts about 10,000 years ago. 03:09.080 --> 03:16.480 There's--what is the number here? 03:16.479 --> 03:19.459 There may have been like two million people on the whole 03:19.455 --> 03:19.885 earth. 03:19.889 --> 03:23.059 Remember I said hunter gatherers spread out of Africa, 03:23.060 --> 03:25.740 spread amazingly over the whole earth, 03:25.740 --> 03:28.780 and maybe the total population of humans at that time was 03:28.776 --> 03:30.726 something like two million people. 03:30.729 --> 03:36.409 Now we have over six billion people, that's an increase of 03:36.407 --> 03:41.587 3,000 times in the human population, so clearly there 03:41.586 --> 03:45.666 were fewer hunter gatherers than now. 03:45.669 --> 03:49.529 This is a very--you'll see this in lots of discussions of this 03:49.529 --> 03:52.059 field, but it's a very elementary kind of 03:52.061 --> 03:53.201 consideration. 03:53.199 --> 03:56.899 It talks about the long scale of human demography, 03:56.900 --> 04:01.780 of human population growth, and we came out of being other 04:01.783 --> 04:06.353 species of primate, of hominids and we gradually 04:06.349 --> 04:09.509 grew up to some sort of a limit. 04:09.508 --> 04:14.188 There's the idea that the various productive systems that 04:14.185 --> 04:17.635 we use, like hunter gathering--limit is 04:17.641 --> 04:21.111 some sort of a carrying capacity limit, 04:21.110 --> 04:24.870 and so the idea is that the human population increased until 04:24.867 --> 04:28.687 it reached a limit and then for a very long period of time it 04:28.690 --> 04:30.730 can't get beyond that limit. 04:30.730 --> 04:35.720 Then 10,000 years ago, maybe it's 12,000, 04:35.720 --> 04:38.890 farming is invented and all of a sudden the whole system 04:38.894 --> 04:41.584 changes, there's many more people and we 04:41.579 --> 04:44.159 jump up and then again reach a limit, 04:44.160 --> 04:48.080 and we'll talk about that as some Malthusian limit in this 04:48.084 --> 04:51.574 particular period, later we'll discuss that, 04:51.569 --> 04:55.889 and then around here the industrial revolution happens 04:55.894 --> 05:00.304 and all of a sudden the population increases again. 05:00.300 --> 05:03.480 This is a logarithmic scale so it's not linear. 05:03.480 --> 05:06.500 Each of these jumps is by a factor of several thousand. 05:06.500 --> 05:10.360 That's a very, very schematized version of 05:10.357 --> 05:16.377 human demographic history and we're talking about this period. 05:16.379 --> 05:20.409 What limited hunter gatherers to this level whereas farmers 05:20.406 --> 05:22.346 could go up to this level. 05:22.350 --> 05:28.250 Again, the obvious answer and looking at this kind of rough 05:28.252 --> 05:31.002 data is that it was food. 05:31.000 --> 05:35.090 Whoever then--archeologists, paleontologists go and actually 05:35.088 --> 05:39.108 try to examine this and there turns out to be the data does 05:39.105 --> 05:41.735 not fit that theory terribly well. 05:41.740 --> 05:44.310 What do archeologists do? 05:44.310 --> 05:50.140 They dig up skeletons and they have a good representative set 05:50.136 --> 05:55.566 of skeletons from the last 7,000 years in North and South 05:55.574 --> 05:56.744 America. 05:56.740 --> 06:01.900 One study looked at more than 12,500 skeletons so we're 06:01.901 --> 06:05.821 talking about a good scientific sample. 06:05.819 --> 06:06.979 What did they find out? 06:06.980 --> 06:10.840 These were set into communities, and communities 06:10.836 --> 06:14.526 lasted so much time, so you can date the whole 06:14.529 --> 06:18.059 archeological site to a certain period. 06:18.060 --> 06:21.390 The medical anthropologists got into it and started looking at 06:21.392 --> 06:23.582 the bones and dentition and all this, 06:23.579 --> 06:25.949 and not only did they find the violence we talked about last 06:25.947 --> 06:28.407 time, but these people were also sick. 06:28.410 --> 06:31.070 They had diseases at different times. 06:31.069 --> 06:33.869 You could see bone problems and how well the bones grew and from 06:33.874 --> 06:36.194 the teeth how much calcium they had, and all this. 06:36.190 --> 06:39.370 What does it turn out, that contrary to the idea of 06:39.365 --> 06:43.425 progress that you'd think the later people were more healthy, 06:43.430 --> 06:46.530 in fact, it was earlier people in the-- 06:46.529 --> 06:50.749 the earlier individuals that were healthier. 06:50.750 --> 06:54.110 As time goes on, the skeletons get less and less 06:54.105 --> 06:58.245 healthy, that they're getting less food and less good food, 06:58.245 --> 07:00.955 and were more subject to diseases. 07:00.959 --> 07:05.539 It was quite a shocker when this status started coming out. 07:05.540 --> 07:10.850 The researchers attributed this decline in health in large part 07:10.846 --> 07:13.326 to the rise in agriculture. 07:13.329 --> 07:16.969 Two main factors they say, the rise of agriculture and the 07:16.973 --> 07:20.233 rise of urban living, and we'll talk about the urban 07:20.233 --> 07:21.643 story in a moment. 07:21.639 --> 07:25.419 If you again go like we did last time from the archeology to 07:25.423 --> 07:29.083 the anthropology and look at current hunter gatherers, 07:29.079 --> 07:33.049 it's a little bit of a distorted study because nowadays 07:33.053 --> 07:37.403 almost all hunter gatherers have been pushed out of the good 07:37.396 --> 07:42.316 lands that they used to live in, into very marginal lands. 07:42.319 --> 07:45.129 You know this from U.S. History in high school, 07:45.134 --> 07:48.684 how the European farmers pushed the very earlier farmers or 07:48.682 --> 07:51.622 hunter gatherers of the American Indians, 07:51.620 --> 07:54.740 the Native Americans into Arizona, into desert, 07:54.740 --> 07:58.220 into the Badlands in the West, the dry Badlands and to the 07:58.218 --> 08:02.368 West of the U.S., farming peoples push hunter 08:02.374 --> 08:06.074 gatherers into inhospitable land. 08:06.069 --> 08:11.899 There's a story in the Smithsonian Magazine recently 08:11.898 --> 08:14.868 about Pygmies in Africa. 08:14.870 --> 08:16.950 I don't know if you know a little bit about the history of 08:16.947 --> 08:19.537 African demography, which we'll also cover, 08:19.540 --> 08:22.810 but the Bantus have expanded from south-- 08:22.810 --> 08:26.440 the bulge of southwest Africa basically all around and have 08:26.435 --> 08:29.875 pushed other people's out and the Pygmies are one of the 08:29.875 --> 08:33.375 groups that have been very severely discriminated against 08:33.375 --> 08:36.435 and really pushed into inhospitable places. 08:36.440 --> 08:41.290 Another example is the Bushmen of Africa who were pushed into 08:41.293 --> 08:44.613 the Kalahari Desert in southern Africa. 08:44.610 --> 08:49.250 Even in the desert these guys eat 85 different species of 08:49.250 --> 08:52.120 plants, and it's almost inconceivable 08:52.121 --> 08:54.801 in their culture, for someone to die of 08:54.798 --> 08:59.018 starvation because plants will bloom some years and not bloom 08:59.023 --> 09:00.153 some years. 09:00.149 --> 09:03.079 They will get a fungus some year, or a virus, 09:03.076 --> 09:06.866 plants--any one species is not generally very reliable. 09:06.870 --> 09:10.890 When you have 85 different species to survive on you're not 09:10.889 --> 09:12.759 going to go without food. 09:12.759 --> 09:17.459 There will always be some group of plants that are going to be 09:17.462 --> 09:21.552 available to you and so you're not going to starve. 09:21.548 --> 09:24.918 Further, the anthropologists lived with these people and they 09:24.924 --> 09:28.474 start writing down what they're doing at every point in time. 09:28.470 --> 09:32.090 Per hour invested, the Bushmen get more food then 09:32.085 --> 09:34.265 the early agriculturalists. 09:34.269 --> 09:39.629 Not modern agriculturalists who can drive a tractor and in an 09:39.633 --> 09:42.583 hour do a lot, but we're comparing 09:42.582 --> 09:47.592 hunter-gatherers to the first stages of agriculture. 09:47.590 --> 09:52.350 The Kalahari--the Bushmen in Kalahari spent 12 to 19 hours a 09:52.350 --> 09:57.190 week collecting food and the rest of the time they used for a 09:57.191 --> 10:00.501 lot more sleep than current farmers, 10:00.500 --> 10:04.000 and a lot more leisure than farming people, 10:04.000 --> 10:08.910 so life is more generous to them. 10:08.908 --> 10:11.058 You have to think now, this is for people pushed into 10:11.062 --> 10:13.242 a desert, a very inhospitable place, 10:13.244 --> 10:16.834 and now if they-- if you can imagine them living 10:16.828 --> 10:20.698 in a lush forest region where they originated, 10:20.700 --> 10:25.180 life must have been much, much easier so the amount of 10:25.179 --> 10:30.509 time exerted to get your basics of food and everything must have 10:30.506 --> 10:32.786 been much-- a lot less. 10:32.788 --> 10:38.168 Not only do they have to work less and they get more food per 10:38.172 --> 10:40.882 hour, but the variety of foods is 10:40.879 --> 10:45.009 very good for you because you need different minerals, 10:45.009 --> 10:46.689 you need different other micronutrients, 10:46.690 --> 10:51.520 you need different vitamins, and as we are bombarded with in 10:51.519 --> 10:55.979 the popular press, a variety of foods is very good 10:55.982 --> 10:56.782 for you. 10:56.779 --> 11:00.449 You don't want to eat just one kind of food, 11:00.450 --> 11:05.060 so they had a very diverse and healthy kind of diet. 11:05.058 --> 11:09.718 Agriculture comes in and indeed it enormously increases the 11:09.716 --> 11:13.566 amount of food per acre when land is limited, 11:13.570 --> 11:16.270 when you have a population density such that land becomes 11:16.265 --> 11:18.525 limiting rather than your time or your need, 11:18.528 --> 11:22.458 when land becomes limiting then agriculture becomes important 11:22.461 --> 11:26.071 because per acre you can get a lot more food than hunter 11:26.066 --> 11:29.396 gathering, but you have to spend lots and 11:29.398 --> 11:34.408 lots of hours to get that land to give you that amount of food. 11:34.408 --> 11:39.848 The question remains 'why are there are--why were there and 11:39.846 --> 11:44.626 still are of course, why are there are so few hunter 11:44.626 --> 11:45.936 gatherers? 11:45.940 --> 11:49.430 Again, a Malthusian type question that, 11:49.428 --> 11:52.348 if we know they lived quite well, we know that later people 11:52.351 --> 11:55.481 going into agriculture lived a lot less well in terms of basics 11:55.475 --> 11:58.365 of life, how come the hunter gatherer 11:58.366 --> 12:03.156 population did not increase up to the same level of misery as 12:03.160 --> 12:06.750 early farmers, which is basically one of the 12:06.745 --> 12:10.365 earliest examples of a Malthusian type question. 12:10.370 --> 12:15.070 Malthus thought those same kind of thoughts but for a much later 12:15.070 --> 12:16.040 population. 12:16.038 --> 12:20.098 Well in truth, we don't really know the answer 12:20.102 --> 12:25.612 to this and it's greatly argued about, but I can tell you some 12:25.611 --> 12:27.961 things that are known. 12:27.960 --> 12:31.860 Current hunter gatherers have a moderate number of children and 12:31.856 --> 12:32.796 many survive. 12:32.798 --> 12:35.588 They do not have an enormous infant mortality, 12:35.586 --> 12:39.426 certainly not compared to later populations which I'll show you 12:39.426 --> 12:41.776 that have a huge infant mortality. 12:41.779 --> 12:44.399 If they are Nomadic, and I'll tell you about an 12:44.402 --> 12:47.312 example of that later, they have to move quite a lot 12:47.311 --> 12:49.821 and that means carrying children around. 12:49.820 --> 12:52.000 I think Bonnie has sort of indicated to you, 12:52.000 --> 12:54.430 even dealing with a lot of children in one place is 12:54.428 --> 12:57.608 difficult, but the difficulty of moving 12:57.605 --> 13:01.105 with very young children, and packing up everything and 13:01.110 --> 13:03.990 moving for a very long time, over a long distance is 13:03.989 --> 13:08.739 difficult and Nomadic peoples very often show very clear signs 13:08.735 --> 13:12.465 of some form of conscious population control. 13:12.470 --> 13:15.800 They know they can't cope with more than "x" 13:15.799 --> 13:17.119 number of children. 13:17.120 --> 13:20.700 We'll get to that all societies have indeed controlled their 13:20.697 --> 13:23.727 population but mechanism they were not totally-- 13:23.730 --> 13:27.250 not clear what they think the reason for their doing things 13:27.245 --> 13:29.365 were, but Nomads apparently know what 13:29.374 --> 13:30.174 they're doing. 13:30.168 --> 13:33.268 Hunter gatherers are moderately healthy. 13:33.269 --> 13:36.699 Again, their burden of sickness is not severe, 13:36.701 --> 13:39.601 again compared to later populations; 13:39.600 --> 13:44.120 however parasites are always a problem. 13:44.120 --> 13:47.070 I'll show you again a modern case of parasites. 13:47.070 --> 13:48.610 This is a girl, modern girl, 13:48.613 --> 13:51.703 current girl in Central America, and you may notice the 13:51.700 --> 13:52.730 swollen belly. 13:52.730 --> 13:58.920 You know what's inside there to swell it? 13:58.918 --> 14:04.758 Worms--exactly and when they purge her that was what was 14:04.758 --> 14:08.578 inside that girl, all those worms. 14:08.580 --> 14:13.080 Humans have had this problem since time in memorial. 14:13.080 --> 14:16.640 Hunter gatherers are not immune to this. 14:16.639 --> 14:20.579 Infectious diseases they have less because they're in small 14:20.580 --> 14:23.020 groups, so infectious diseases as you 14:23.023 --> 14:26.793 know need large groups to keep spreading and they're hostile to 14:26.793 --> 14:29.213 their neighbors, just again like chimpanzees so 14:29.212 --> 14:31.342 they don't come in a lot of contact with neighbors, 14:31.340 --> 14:35.010 so diseases don't spread from group to group and each 14:35.014 --> 14:38.694 individual group is not large enough to allow for the 14:38.690 --> 14:40.740 maintenance of a disease. 14:40.740 --> 14:44.990 Each village, if you--anthropologists go and 14:44.986 --> 14:50.316 sit in one village for a long time and they have a high 14:50.322 --> 14:52.992 population growth rate. 14:52.990 --> 14:56.280 Each village seems to be expanding quite noticeably, 14:56.279 --> 14:58.849 and you think, well in each village that we go 14:58.847 --> 15:02.737 study population is increasing, again, it doesn't make sense 15:02.744 --> 15:06.324 why haven't they-- been living that way a hundred 15:06.316 --> 15:08.836 thousand years, why haven't they filled up 15:08.842 --> 15:09.472 their space? 15:09.470 --> 15:14.070 Why is each village surrounded by lots of--basically unused 15:14.066 --> 15:14.696 space? 15:14.700 --> 15:18.320 Even today, a lot of the very tropical lands are not 15:18.322 --> 15:20.172 high--densely populated. 15:20.168 --> 15:23.208 We may have the image that they are but they're not. 15:23.210 --> 15:25.230 New Guinea is not densely populated. 15:25.230 --> 15:27.840 If you call densely populated--the Netherlands is I 15:27.836 --> 15:30.386 think the most densely populated in the world, 15:30.389 --> 15:33.049 Bangladesh, the livable regions of China, 15:33.048 --> 15:36.878 the livable regions of Japan, these are densely populated. 15:36.879 --> 15:43.769 The tropical regions of the world, nothing like that; 15:43.769 --> 15:46.969 New Guinea I said, Borneo very sparsely populated, 15:46.970 --> 15:51.700 the Amazon, Sub-Saharan Africa vast open areas, 15:51.700 --> 15:55.780 so these are not situations of high population density, 15:55.779 --> 16:01.459 yet any village that you sit in is increasing its population. 16:01.460 --> 16:04.720 What's going on? 16:04.720 --> 16:08.200 What are the--what the archeologists find out is that 16:08.196 --> 16:11.606 when they study a site, and I sort of mentioned this 16:11.605 --> 16:13.875 already, what you see is this. 16:13.879 --> 16:19.129 You go to--you start digging a site and you actually dig in 16:19.125 --> 16:21.905 reserve, but you go to the bottom and 16:21.912 --> 16:25.372 you see there was nobody there before certain years, 16:25.370 --> 16:27.720 and then a small population, and what you see, 16:27.720 --> 16:30.220 you can count the amount of food remains, 16:30.220 --> 16:33.360 all kinds of things, the population grows more or 16:33.364 --> 16:34.744 less exponentially. 16:34.740 --> 16:37.020 That means that the same percentage every year. 16:37.019 --> 16:39.639 A half of a percent a year or whatever it is, 16:39.639 --> 16:43.169 and it grows up faster and faster, because there are more 16:43.171 --> 16:46.831 people producing that same percent of population growth. 16:46.830 --> 16:50.100 You get this phase and then all of a sudden you reach the top of 16:50.095 --> 16:53.355 your pile and your village is gone and there's nothing there. 16:53.360 --> 16:57.800 Some sort of a crash happened, where if it's not totally gone 16:57.803 --> 17:00.843 it's really knocked down tremendously, 17:00.840 --> 17:04.630 and then you either wait--look at that site again like the 17:04.634 --> 17:08.564 biblical sites which they dig, and dig, and dig and sometime 17:08.561 --> 17:12.381 later starts up again, or a different site starts up 17:12.384 --> 17:15.114 again and you get the same phenomenon. 17:15.108 --> 17:17.528 Forget this line, this is the idea of -- the 17:17.528 --> 17:20.118 carrying capacity, but you can see nothing fits 17:20.116 --> 17:21.576 the carrying capacity. 17:21.578 --> 17:25.198 It just maybe stays there for a little here, so the idea of 17:25.199 --> 17:28.569 carrying capacity for humans doesn't work very well. 17:28.568 --> 17:33.038 What are the reasons--so--then the explanation for the 17:33.038 --> 17:38.268 population staying more or less constant and not filling up the 17:38.265 --> 17:42.645 space is not that each community doesn't exist, 17:42.650 --> 17:45.960 but communities--here's your space filled with community A, 17:45.964 --> 17:48.944 B, C, D, E and as each community increases some other 17:48.936 --> 17:51.486 community just disappears, goes out of existence. 17:51.490 --> 17:55.230 If you measure over the whole big space you have a floating 17:55.226 --> 17:58.186 game of different communities each growing, 17:58.190 --> 18:01.300 but then disappearing completely, and the population 18:01.299 --> 18:04.349 and the whole space stays more or less the same. 18:04.348 --> 18:07.258 I don't want to push that as it really becomes super duper 18:07.255 --> 18:10.105 constant, but more or less the same--does not fill up. 18:10.108 --> 18:13.648 What are the reasons why a community would grow very 18:13.648 --> 18:16.078 happily, more or less, very vaguely, 18:16.077 --> 18:19.407 exponentially, and then go out of existence? 18:19.410 --> 18:21.760 One is of course climatic disaster. 18:21.759 --> 18:26.699 There could be a freeze; there could be a drought, 18:26.704 --> 18:31.654 these real climatic things, and if you look at the Anasazi 18:31.645 --> 18:37.365 of Arizona that lived near the Colorado River regions, 18:37.368 --> 18:39.778 one of the thoughts--they're one of the communities that fit 18:39.782 --> 18:40.072 this. 18:40.068 --> 18:41.988 They're healthy, you go see their ruins, 18:41.987 --> 18:43.607 and then they just disappeared. 18:43.608 --> 18:47.038 How many of you have been to Anazasi site in Arizona? 18:47.038 --> 18:51.898 Just one student, something you've got to do. 18:51.900 --> 18:55.390 There you're living in a semi--a true desert now and a 18:55.386 --> 18:58.406 semi-desert back then, so climatic things are a 18:58.413 --> 19:00.193 reasonable explanation. 19:00.190 --> 19:04.020 You go into the tropical regions you don't have droughts 19:04.015 --> 19:07.765 that last, you don't have freezes, and yet you see this 19:07.771 --> 19:09.721 same kind of phenomenon. 19:09.720 --> 19:14.560 While undoubtedly climatic things happened occasionally in 19:14.557 --> 19:18.187 the temperate zones, certainly in the northern 19:18.193 --> 19:21.973 zones, most hunter gatherer societies probably that's not 19:21.969 --> 19:23.249 the explanation. 19:23.250 --> 19:27.150 The next thing is diseases of the crops, that some fungus came 19:27.151 --> 19:29.071 by and wiped out your crops. 19:29.068 --> 19:32.758 Well we've just talked about that, that since they're eating 19:32.756 --> 19:35.626 85 different kinds of things in the desert, 19:35.630 --> 19:39.630 there isn't any kind of microorganism that cuts across 19:39.625 --> 19:44.705 species like that, so that explanation doesn't 19:44.705 --> 19:46.515 seem to work. 19:46.519 --> 19:49.199 Diseases of humans, same thing, not diseases of 19:49.196 --> 19:51.496 plants, but diseases of humans, 19:51.499 --> 19:54.489 again, the data just doesn't fit that, 19:54.490 --> 19:59.120 that because of the isolation they don't have a huge problem 19:59.115 --> 20:01.385 with communicable diseases. 20:01.390 --> 20:05.940 That leaves the possibility of violent confrontation from one 20:05.943 --> 20:07.693 community to another. 20:07.690 --> 20:11.230 We've seen in the chimps how the northern group will 20:11.234 --> 20:14.994 completely wipe out the southern group and so forth. 20:14.990 --> 20:19.120 What kind of evidence can one adduce that this might be what's 20:19.124 --> 20:19.874 going on? 20:19.868 --> 20:25.728 If one looks at any modern population and looks at the 20:25.726 --> 20:30.806 survival curve, so this is the number of deaths 20:30.807 --> 20:33.347 per 1,000 per year. 20:33.348 --> 20:35.488 This is India, for instance, 20:35.487 --> 20:38.017 and it's fairly recent--1960s. 20:38.019 --> 20:41.439 Antibiotics are just coming in at this stage, 20:41.440 --> 20:44.560 so very high infant mortality rate, 20:44.558 --> 20:48.948 80 per 1,000--one out of every 12 kids dies almost immediately 20:48.952 --> 20:52.482 and then that high rate continues until about-- 20:52.480 --> 20:56.640 comes down to something about six or seven years old so a lot 20:56.635 --> 21:00.165 of your population is just wiped out immediately. 21:00.170 --> 21:05.020 Then you have a pretty low level of death and fairly flat 21:05.016 --> 21:09.946 until it gets to be what's considered old age in different 21:09.949 --> 21:13.929 populations and then the death rate rises. 21:13.930 --> 21:16.330 You have this very standard u-shaped curve, 21:16.328 --> 21:19.028 and here after you have sort of modern medicine-- 21:19.028 --> 21:21.238 this is Sweden in the same year as the infant-- 21:21.240 --> 21:24.410 primarily the main thing is the infant mortality drops like 21:24.413 --> 21:28.323 crazy and the old age stuff-- everything drops but the main 21:28.318 --> 21:30.528 drop is in infant mortality. 21:30.528 --> 21:32.788 The idea is--what I just want you to get out of this-- 21:32.788 --> 21:36.658 we'll see this graph again and again in a couple of times, 21:36.660 --> 21:40.450 is that during the adult years the death rate is very low 21:40.449 --> 21:42.749 compared to either here or here. 21:42.750 --> 21:48.900 Now if you look at what we can gather from archeological data 21:48.901 --> 21:53.821 from hunter gatherer communities, you have a high 21:53.821 --> 21:56.181 death rate of kids. 21:56.180 --> 21:58.370 Not as high as when you get all these communicable diseases in 21:58.371 --> 22:00.411 modern societies, and then you have a flat 22:00.414 --> 22:03.514 period, and then all of a sudden there's this big bump. 22:03.509 --> 22:07.469 What they call an excess mortality in exactly the young 22:07.470 --> 22:10.010 adult years, and then it comes back down 22:10.007 --> 22:13.147 again and you get a more or less normal old age situation. 22:13.150 --> 22:16.850 Well what is it that kills people in their middle years? 22:16.849 --> 22:19.239 Violence. 22:19.240 --> 22:22.470 So this kind of data--again we don't totally-- 22:22.470 --> 22:25.380 we don't really know the answer, but this kind of data 22:25.384 --> 22:28.744 leads you to suspect that indeed one of the major reasons, 22:28.740 --> 22:32.530 not the only reason, but a major reason that the 22:32.527 --> 22:36.877 hunter gatherer communities and the early archeological 22:36.877 --> 22:41.307 communities disappear so suddenly is that they are wiped 22:41.308 --> 22:44.128 out by some sort of violence. 22:44.130 --> 22:49.900 We're right back in hunter gatherer times as far as we can 22:49.904 --> 22:54.874 tell to what you've seen before of these mass-- 22:54.868 --> 22:59.898 I've showed you last time these mass graves that are 22:59.895 --> 23:03.045 characteristic of this period. 23:03.048 --> 23:06.708 Okay, nevertheless, over the very long scale of 23:06.711 --> 23:09.061 time-- our period of being cavemen and 23:09.057 --> 23:12.197 hunter gatherers lasted hundreds of thousands of years-- 23:12.200 --> 23:16.070 but gradually population did slowly increase, 23:16.068 --> 23:20.368 and as population increases, the land available to people 23:20.367 --> 23:21.287 gets less. 23:21.288 --> 23:23.918 We talk, I think next time about Africa, 23:23.920 --> 23:27.380 which has a culture where land is not a scarce commodity and 23:27.383 --> 23:30.723 now it's getting to be scarce, but in their traditions, 23:30.722 --> 23:32.772 land is not the scarce commodity, 23:32.769 --> 23:37.649 but as the population grows the land per person gets less and 23:37.645 --> 23:42.435 then you have to make a more intense utilization of the land 23:42.441 --> 23:44.881 and farming gets invented. 23:44.880 --> 23:48.070 A big discussion whether it actually was the population 23:48.069 --> 23:51.729 pressure that caused farming to be invented or whether that was 23:51.732 --> 23:55.162 just some brilliant stroke by somebody that invented-- 23:55.160 --> 23:58.520 that people slowly figured it out. 23:58.519 --> 24:04.149 They actually can trace the origin of agriculture to-- 24:04.150 --> 24:07.520 the current data is 11,700 years ago in the Middle East, 24:07.519 --> 24:10.769 in Anatolia, what's now Turkey, 24:10.772 --> 24:14.912 now eastern Turkey, and it expands on the average 24:14.909 --> 24:18.589 from the original sites you can watch it expand and it expands 24:18.589 --> 24:20.219 at one kilometer a year. 24:20.220 --> 24:21.390 That's the average. 24:21.390 --> 24:25.270 Then it eventually takes over the whole world. 24:25.269 --> 24:27.569 The number of people, and when you invent 24:27.570 --> 24:30.850 agriculture, the number of people that can be supported on 24:30.851 --> 24:33.211 one plot of land grows up enormously. 24:33.210 --> 24:36.560 We've seen that and so these people become more numerous and 24:36.556 --> 24:39.956 so in military confrontations and warlike confrontations, 24:39.960 --> 24:42.150 they're going to be dominant, almost no matter what the 24:42.150 --> 24:44.920 technology is, no matter what the bravery is, 24:44.921 --> 24:49.081 if you have an awful lot more people you're going to wipe out 24:49.083 --> 24:53.043 or push out groups that don't have that kind of population 24:53.038 --> 24:53.938 density. 24:53.940 --> 24:57.440 Agriculture spreads; in the early days of 24:57.442 --> 25:02.612 agriculture you don't know an awful lot yet and you probably 25:02.612 --> 25:07.082 have one crop that you really know how to grow. 25:07.078 --> 25:08.858 For instance, in the Americas, 25:08.864 --> 25:12.564 the big crop was corn that most of Latin America even to this 25:12.555 --> 25:16.315 day lives on corn, and the North American Indians 25:16.317 --> 25:17.957 lived a lot on corn. 25:17.960 --> 25:20.740 Of course in Southeast Asia a great big population, 25:20.740 --> 25:22.940 it was rice, and you basically lived off 25:22.939 --> 25:27.219 most of your calories, most of your food from one 25:27.215 --> 25:28.645 single crop. 25:28.650 --> 25:33.330 That's not very healthy because each crop is missing something. 25:33.328 --> 25:36.248 Corn, you may know, misses lysine, 25:36.248 --> 25:41.468 one of these essential amino acids and over a very long time 25:41.465 --> 25:46.515 the Americans learned to-- a rather complicated procedure 25:46.519 --> 25:51.079 for boiling it in lime to extract this amino acid from the 25:51.078 --> 25:53.638 plant, but until that was discovered 25:53.644 --> 25:56.144 they must have been extremely unhealthy. 25:56.140 --> 25:58.970 Rice, you know, is missing all kinds of 25:58.970 --> 26:03.370 vitamins and people have very severe vitamin deficiencies if 26:03.365 --> 26:05.745 their diet is too much rice. 26:05.750 --> 26:10.360 You're not getting a health--in early farming you're not getting 26:10.362 --> 26:14.902 a particularly healthy diet and you're not getting the vitamins 26:14.901 --> 26:17.611 and micronutrients that you need. 26:17.608 --> 26:19.838 Furthermore, your food security goes down. 26:19.838 --> 26:23.078 Again, as I've mentioned, that a virus or a fungus, 26:23.078 --> 26:26.388 or something attacks your crops, and that's 80% of your 26:26.388 --> 26:29.758 calories and that is wiped out in a year you're gone. 26:29.759 --> 26:34.749 Or if locusts come by and eat them up or some insect 26:34.750 --> 26:37.490 infestation comes through. 26:37.490 --> 26:44.850 Also an increase in calorie availability; 26:44.848 --> 26:49.698 you can--more people can stay alive and so you get dense 26:49.695 --> 26:50.925 populations. 26:50.930 --> 26:54.810 The social structure changes, now previously each person 26:54.807 --> 26:58.827 could only get enough food basically for himself and maybe 26:58.827 --> 27:00.517 a very small family. 27:00.519 --> 27:03.219 As you develop the technology of agriculture, 27:03.221 --> 27:06.471 an individual can produce a surplus, not everything he 27:06.474 --> 27:07.094 feeds. 27:07.088 --> 27:09.338 Well who's going to get that surplus? 27:09.338 --> 27:13.568 In an egalitarian society he keeps the surplus himself, 27:13.573 --> 27:15.693 his family, and so forth. 27:15.690 --> 27:19.280 But there's other guys that are either stronger and nastier then 27:19.284 --> 27:22.484 you and they come in and steal your surplus from you, 27:22.480 --> 27:24.810 and they have to leave you just with a small part of your 27:24.813 --> 27:27.193 production to just keep you alive because they want you to 27:27.188 --> 27:30.408 work for them, and so you get societies now 27:30.410 --> 27:32.580 where there are classes. 27:32.578 --> 27:36.078 There are people who in way or another take the excess food 27:36.077 --> 27:38.787 from the farmer and use it for other purposes, 27:38.789 --> 27:40.659 usually their own purposes. 27:40.660 --> 27:44.750 They can largely hire military to keep them in power and to 27:44.750 --> 27:47.080 protect them from other places. 27:47.078 --> 27:51.118 That's a large use of the food surplus which agriculture puts 27:51.123 --> 27:51.463 up. 27:51.460 --> 27:55.610 Also manufacturers come in; they hire artisans to make 27:55.608 --> 27:59.338 beautiful gold objects for them, or to make beds, 27:59.338 --> 28:03.038 or chairs or all the manufacturing starts on the 28:03.038 --> 28:07.518 agricultural surplus that agriculture brings in because an 28:07.522 --> 28:12.402 individual human now can produce more calories than he needs to 28:12.403 --> 28:15.633 keep going at a subsistence level. 28:15.630 --> 28:18.720 What you see as agriculture progresses is the hunter 28:18.718 --> 28:22.108 gatherer societies are generally quite an egalitarian. 28:22.108 --> 28:24.878 They'll more or less have a head man but he won't--or a wise 28:24.876 --> 28:27.266 man or an old man, but they won't have authority. 28:27.269 --> 28:29.299 He can't order other people around; 28:29.298 --> 28:33.118 the community has to agree on some project if they undertake 28:33.123 --> 28:34.293 projects at all. 28:34.288 --> 28:38.658 As more food wealth becomes available, 28:38.660 --> 28:44.480 societies start stratifying, you get social classes, 28:44.480 --> 28:49.450 you get castes, and this inequality changes 28:49.446 --> 28:54.056 everything about the way humans live. 28:54.058 --> 28:57.268 The congestion in the cities--cities start growing up 28:57.265 --> 29:00.715 and then you start getting the spread of these infectious 29:00.717 --> 29:04.167 diseases where one person spreads it to the next in large 29:04.169 --> 29:06.079 agglomerations of humans. 29:06.078 --> 29:10.268 That just gets worse and worse up through the 1400s in Europe 29:10.273 --> 29:14.403 when you get the Black Death and wipes out a huge number. 29:14.400 --> 29:19.290 That is--as civilization progresses the death rate from 29:19.287 --> 29:23.357 infectious diseases just keeps going on up. 29:23.358 --> 29:27.508 Adding all this together and the data we have, 29:27.512 --> 29:33.422 is that hunter gatherers--their lifespan is ballpark 50 years. 29:33.420 --> 29:38.330 In early agriculture societies that goes down to 35 years, 29:38.328 --> 29:43.968 so we're really--and I'll show you data that in a lot of places 29:43.965 --> 29:47.325 it's probably even lower than that. 29:47.328 --> 29:51.238 We have this situation where humans-- 29:51.240 --> 29:53.810 not counting violence that humans live-- 29:53.808 --> 29:55.708 when they weren't being attacked by their neighbors, 29:55.710 --> 29:59.050 humans were living very well, the hunter gatherer society; 29:59.049 --> 30:00.869 sort of Garden of Eden. 30:00.868 --> 30:04.138 Then agriculture comes in and the vast mass of humans become 30:04.140 --> 30:06.510 peasants; the land becomes owned not by 30:06.505 --> 30:09.745 them but by someone else, and they have to give most of 30:09.749 --> 30:11.969 what they've produced to someone else, 30:11.970 --> 30:13.860 so life becomes miserable. 30:13.858 --> 30:17.798 There's a lot of thought that the various of Garden of Eden 30:17.798 --> 30:20.408 myths-- I mean almost every culture has 30:20.413 --> 30:24.363 some sort of glorification of a very distant past where people 30:24.359 --> 30:26.429 did not have to work so hard. 30:26.430 --> 30:28.800 In our culture we call it the Garden of Eden; 30:28.798 --> 30:31.688 everything was perfect, then something happened, 30:31.688 --> 30:35.378 and after the fall of one sort or another, now it's the sweat 30:35.375 --> 30:36.355 of our brow. 30:36.358 --> 30:39.898 It's a very nice description of what I've been telling you of 30:39.895 --> 30:43.015 the hunter gatherers living in a lush environment-- 30:43.019 --> 30:44.739 before they're pushed into the desert-- 30:44.740 --> 30:47.430 living quite well, and however, 30:47.434 --> 30:51.124 later on then they have to be farmers, 30:51.119 --> 30:52.549 the sweat of the brow. 30:52.548 --> 30:59.978 And violence like Cain and Abel is what is the fly in the 30:59.980 --> 31:05.290 ointment of that beautiful Eden story. 31:05.288 --> 31:11.168 Now we come to the agricultural period in our historical romp 31:11.165 --> 31:12.925 through history. 31:12.930 --> 31:17.010 There are some really fundamental issues that you have 31:17.013 --> 31:21.953 to understand to understand what was happening with population in 31:21.945 --> 31:23.175 these times. 31:23.180 --> 31:27.660 There's constraints on human population, and the first was 31:27.661 --> 31:31.751 this enormous infant mortality which I showed you. 31:31.750 --> 31:36.890 Again, we're looking at 1960 here in a very civilized place, 31:36.890 --> 31:41.730 poor India in 1960, but still even into the 1960s 31:41.733 --> 31:47.083 where we're very modern, the infant mortality is 31:47.079 --> 31:48.219 enormous. 31:48.220 --> 31:50.940 You go, even currently, to a less well developed place, 31:50.940 --> 31:55.960 just cut out this quote from Haiti in 1979, 31:55.960 --> 31:59.670 before this recent rash of problems, 31:59.670 --> 32:02.660 a Cornell trained Haitian, comes from Haiti to Cornell, 32:02.660 --> 32:05.570 gets a medical degree, returns to Haiti, 32:05.568 --> 32:08.808 and he gets a job at a pediatric hospital: 32:08.810 --> 32:12.370 "40% of the infants, of the babies," 32:12.367 --> 32:15.357 the birth rate-- he's working in among other 32:15.357 --> 32:18.627 things a maternity clinic, "40% of the babies were 32:18.626 --> 32:20.366 dying of endemic diarrhea. 32:20.368 --> 32:25.298 A man would come to pick up the bodies three times a day with a 32:25.304 --> 32:26.104 big bag. 32:26.098 --> 32:29.488 The noise of the skulls in the bag was unbearable." 32:29.490 --> 32:35.370 And this is 1979 in--how far is Haiti from Miami? 32:35.368 --> 32:39.468 A hundred and fifty miles or something like that. 32:39.470 --> 32:45.110 The data--we have various data sets for what life expectancy 32:45.112 --> 32:49.692 was like, and this is various populations 32:49.688 --> 32:53.578 and what this is, this is a survivorship curve. 32:53.578 --> 32:59.298 So you take--for 1,000 people born in any given space of time, 32:59.298 --> 33:01.918 in an earlier period--so this is Cisalpine Gaul, 33:01.920 --> 33:05.580 this is Roman times, that's the part of Gaul that's 33:05.575 --> 33:08.715 this side of the Alps according to them, 33:08.720 --> 33:11.660 Cisalpine Gaul. 33:11.660 --> 33:16.640 Out of 1,000 children born, and actually this shows females 33:16.635 --> 33:21.695 but it's more or less the same for males, almost immediately 33:21.698 --> 33:23.498 half of them die. 33:23.500 --> 33:30.230 That's very characteristic of human societies until modern 33:30.233 --> 33:35.553 sanitation comes in, which is in Europe 1700s, 33:35.550 --> 33:38.860 and in Asia maybe 1900s. 33:38.858 --> 33:43.578 You have this tremendous death rate of children and then it 33:43.576 --> 33:48.126 continues at a fairly high but decreasing death rate, 33:48.130 --> 33:50.850 and then finally there's very few people left. 33:50.848 --> 33:53.588 This is not the curve which showed you the percentage of 33:53.589 --> 33:55.979 death in age thing, but how many people are still 33:55.981 --> 33:56.681 surviving? 33:56.680 --> 34:01.720 At any point in--by age 15 here, this dotted line, 34:01.724 --> 34:07.294 only about 40% of people are still alive, 60% have died 34:07.286 --> 34:09.136 before age 15. 34:09.139 --> 34:11.789 This again is women, so a lot of these deaths in 34:11.789 --> 34:14.179 this middle period, by the time--this is the 34:14.175 --> 34:18.945 reproductive years, these dotted lines is 15 to 45 34:18.945 --> 34:21.715 or so, I think 50 in this case, 34:21.717 --> 34:25.987 which is the years in which women can reproduce and most of 34:25.989 --> 34:30.409 the death in females in this period is childbirth itself. 34:30.409 --> 34:32.829 In a developing population, in a pre-medical population, 34:32.829 --> 34:37.599 childbirth itself is one of the most dangerous things in these 34:37.599 --> 34:41.819 years and the death rates are very high from childbirth 34:41.820 --> 34:46.030 itself, so a lot of that is female--is 34:46.030 --> 34:47.340 childbirth. 34:47.340 --> 34:52.380 If you looked a male population it might even be more extreme 34:52.380 --> 34:57.170 due to the--probably due to the violence that we've talked 34:57.168 --> 34:58.008 about. 34:58.010 --> 35:00.260 Now as times goes on--we're going to come back to this 35:00.257 --> 35:02.167 graph, but as time goes on, 35:02.173 --> 35:05.783 this is Italy in 1921 and things have gotten-- 35:05.780 --> 35:09.070 at all ages the death is less, so there's more people 35:09.068 --> 35:11.728 surviving, and then you come to Japan; 35:11.730 --> 35:16.030 again 1984 and you have very, very little infant mortality, 35:16.030 --> 35:20.280 very little mortality through this period and then again old 35:20.278 --> 35:22.798 age takes over and people do die. 35:22.800 --> 35:27.950 This kind of bump here compared to say this, is again possibly 35:27.951 --> 35:31.921 violence in that era, but again, we don't really 35:31.920 --> 35:32.680 know. 35:32.679 --> 35:34.869 For our purposes, going back in time, 35:34.869 --> 35:38.179 we're really interested in this lower graph which is 35:38.181 --> 35:41.881 characteristic of humans from way back until really almost 35:41.880 --> 35:45.020 Napoleonic times, maybe through Napoleonic times 35:45.018 --> 35:47.818 but the death-- the violence in Napoleonic 35:47.817 --> 35:49.267 times was enormous. 35:49.268 --> 35:52.208 If you look at women, consider this just a graph for 35:52.208 --> 35:52.668 women. 35:52.670 --> 35:56.330 Of 1,000 women born, 400 are still alive at the 35:56.329 --> 36:01.179 beginning of their reproductive period and about 200 are still 36:01.181 --> 36:05.161 alive at the end of their reproductive period. 36:05.159 --> 36:08.309 If you average that out something like--it would be the 36:08.311 --> 36:11.351 same as if something 300 women lived throughout their 36:11.347 --> 36:12.747 reproductive period. 36:12.750 --> 36:17.280 Well, if that society is going to keep going, 36:17.280 --> 36:23.150 what is needed to happen that these more or less 300 women 36:23.148 --> 36:27.368 have to reproduce 1,000 women, right? 36:27.369 --> 36:32.399 If they reproduce 1,000 women they also have to reproduce 36:32.400 --> 36:33.570 1,000 boys. 36:33.570 --> 36:37.910 So 300 women have to give rise to 2,000 children and if they 36:37.905 --> 36:42.015 don't do that then there's fewer and fewer people in each 36:42.021 --> 36:46.801 generation and rapidly you don't see this population anymore. 36:46.800 --> 36:50.240 How many children is that that each woman has to have? 36:50.239 --> 36:53.729 Three hundred women making 2,000 children-- 36:53.730 --> 36:57.570 6 2/3, almost 7, so that means that in-- 36:57.570 --> 37:00.260 when you have a mortality curve like this, 37:00.260 --> 37:02.800 which again is most of human recorded history, 37:02.800 --> 37:06.100 most of human history not counting hunter gatherers who 37:06.097 --> 37:09.327 did live longer apparently, the absolute minimum that a 37:09.326 --> 37:12.426 society could cope with is women have basically an average of 37:12.429 --> 37:13.359 seven children. 37:13.360 --> 37:17.060 Wait a minute, I've made this a better case, 37:17.061 --> 37:21.971 that's of the--all that this graph shows is women that are 37:21.967 --> 37:24.117 alive in this period. 37:24.119 --> 37:26.319 What fraction go infertile? 37:26.320 --> 37:28.480 What fraction have infertile husbands? 37:28.480 --> 37:30.170 What fraction never get married? 37:30.170 --> 37:32.680 What fraction are too sick to have children? 37:32.679 --> 37:36.929 What fraction of women are worn out after two or three children 37:36.931 --> 37:38.441 and can't bear many? 37:38.440 --> 37:41.760 That's also a very large number which depends on the population, 37:41.760 --> 37:45.200 so if you subtract those--let's call them infertile women for a 37:45.195 --> 37:48.185 variety of reasons in which they or their husbands, 37:48.190 --> 37:53.540 or their health they're infertile, then there's even 37:53.539 --> 37:58.259 fewer people alive and so this curve goes-- 37:58.260 --> 38:01.810 if you didn't graph just women alive but women that are alive 38:01.807 --> 38:05.567 and in childbearing condition, the curve gets much lower, 38:05.572 --> 38:08.292 so the number of children that women-- 38:08.289 --> 38:12.179 the women that were physically capable of it had to have in 38:12.177 --> 38:15.257 these pre-modern times was more than seven, 38:15.260 --> 38:19.090 and probably eight or nine, or you have to do the 38:19.085 --> 38:23.625 calculation and people don't know how to evaluate the-- 38:23.630 --> 38:29.340 what fraction of Roman women were fertile or infertile? 38:29.340 --> 38:31.970 You can't calculate that. 38:31.969 --> 38:40.519 We have a huge problem that somehow there must be cul-- 38:40.518 --> 38:43.908 there must be mechanisms to insure that no women are wasted, 38:43.909 --> 38:46.729 that any woman that can reproduce does reproduce, 38:46.730 --> 38:49.480 and when they reproduce they go at it. 38:49.480 --> 38:53.410 They just keep going and going, and of course men have an equal 38:53.405 --> 38:57.075 part--well they don't do the amount of work but they have a 38:57.079 --> 38:58.029 part in it. 38:58.030 --> 39:03.120 As I said, this level of mortality continues into quite 39:03.123 --> 39:06.523 modern times, it's quite striking. 39:06.518 --> 39:10.998 Europe got out of it a little bit earlier, I say somewhere in 39:11.001 --> 39:15.111 1700s, but for instance in 1912 in Australia--we have an 39:15.110 --> 39:16.530 Australian T.A. 39:16.530 --> 39:17.820 is she here today? 39:17.820 --> 39:22.690 Went to the--she got a ticket to the inauguration--1912 39:22.688 --> 39:27.828 Australian census shows that 60% of all children born died 39:27.827 --> 39:29.087 unmarried. 39:29.090 --> 39:32.080 That's this number, we have them--well it was about 39:32.083 --> 39:35.743 the same number as this, this shows that only 40% are 39:35.737 --> 39:39.157 left and this says in Australia 60% are dead, 39:39.159 --> 39:43.219 so that's the same number. 39:43.219 --> 39:46.089 Sixty percent of children born died unmarried, 39:46.090 --> 39:49.480 and among the married one-ninth of marriages were sterile, 39:49.480 --> 39:53.710 and just 11% of the men and 14% of the women produced half of 39:53.710 --> 39:54.770 the children. 39:54.768 --> 39:59.628 That means those that could reproduce and were married and 39:59.632 --> 40:03.472 had to really have very, very high birthrates, 40:03.472 --> 40:05.182 as late as 1912. 40:05.179 --> 40:11.219 China, as late as 1930, had a nearly aboriginal birth 40:11.224 --> 40:13.204 and death rate. 40:13.199 --> 40:17.089 The total fertility level was at these levels of six, 40:17.094 --> 40:21.144 seven, eight children per woman, yet the population was 40:21.141 --> 40:24.601 not increasing, which means the death rate was 40:24.597 --> 40:28.317 just as high and they were in this kind of a situation for 40:28.315 --> 40:29.355 reproduction. 40:29.360 --> 40:33.220 We're going to talk a lot about China later of course. 40:33.219 --> 40:37.459 At that death rate, and this is data for China, 40:37.460 --> 40:41.230 in order to have a 50% certainty--so as you know many 40:41.230 --> 40:43.640 cultures, and Chinese included in 40:43.635 --> 40:47.985 traditional times, for sure wanted at least one 40:47.989 --> 40:49.929 child to survive. 40:49.929 --> 40:53.879 They do a calculation at this death rate how many children is 40:53.880 --> 40:57.830 the minimum you have to have to give yourself a 50% chance of 40:57.831 --> 41:01.161 having one son survive; five children. 41:01.159 --> 41:04.969 If you're not thinking of reproducing the population, 41:04.969 --> 41:08.169 but just reproducing your own family which is the way 41:08.172 --> 41:12.362 individual families think, and they have to have a son and 41:12.360 --> 41:16.650 you have this mortality rate, at five children you have a 50% 41:16.650 --> 41:17.140 chance. 41:17.139 --> 41:19.839 If you want to have an 80% chance of something you're back 41:19.838 --> 41:23.058 up to eight, nine, ten children which 41:23.059 --> 41:26.389 explains the desire-- not necessarily--they don't 41:26.394 --> 41:28.894 necessarily keep this birth rate but the desire for these very, 41:28.889 --> 41:31.679 very high birth rates. 41:31.679 --> 41:35.929 The result is that in most pre-modern societies, 41:35.929 --> 41:40.359 women spend their whole post-pubertal lives either 41:40.358 --> 41:42.708 pregnant or lactating. 41:42.710 --> 41:47.010 There's basically never a time when they're free of the 41:47.012 --> 41:50.042 biological aspects of childbearing, 41:50.039 --> 41:55.129 not counting the children that are now not breastfeeding 41:55.134 --> 41:58.844 anymore that Bonnie was talking about. 41:58.840 --> 42:01.580 For instance, in Bangladesh in the 1990s, 42:01.583 --> 42:05.703 we're coming up very--75% of the women in the age group of 20 42:05.701 --> 42:08.721 to 39 were either pregnant or lactating. 42:08.719 --> 42:10.889 That means four out of every five women were, 42:10.889 --> 42:12.689 at that moment, any moment that you look, 42:12.690 --> 42:15.050 they're either pregnant or breastfeeding, 42:15.050 --> 42:19.620 and there's a small period in which they rest and then it 42:19.617 --> 42:21.247 starts over again. 42:21.250 --> 42:25.700 We're not talking--in the need for these very high birth rates, 42:25.699 --> 42:29.059 we're not just talking about primitive tribes by any means, 42:29.059 --> 42:33.179 we're talking about the period in which all the world's great 42:33.182 --> 42:34.972 civilizations developed. 42:34.969 --> 42:38.719 Civilization--one of the things that civilizations had to do was 42:38.715 --> 42:40.615 insure a birth rate like this. 42:40.619 --> 42:45.149 In the period in which cultures were learning to write and 42:45.148 --> 42:49.878 producing a classic literature, and developing the great world 42:49.878 --> 42:52.928 religions, all of these if you read 42:52.929 --> 42:58.339 through them are calculated in some sense to keep fertility 42:58.342 --> 42:59.092 high. 42:59.090 --> 43:03.230 All of these things glorify high fertility. 43:03.230 --> 43:09.510 The religious doctrines push it; there's community sanctions; 43:09.510 --> 43:12.860 the cultures just developed in a way that-- 43:12.860 --> 43:15.680 in order to increase fertility and any culture that doesn't do 43:15.679 --> 43:17.759 that and doesn't increase it successfully, 43:17.760 --> 43:19.240 they're just not here anymore. 43:19.239 --> 43:22.109 Of course most cultures that you read about are not here 43:22.105 --> 43:24.185 anymore, and they were not successful. 43:24.190 --> 43:28.930 In our Western culture, the most famous of these things 43:28.927 --> 43:34.717 is the First Commandment in the Bible: be fruitful and multiply. 43:34.719 --> 43:37.889 Well that fits us, if you didn't do that then the 43:37.891 --> 43:41.131 Hebrews would be gone, and we wouldn't have any of 43:41.128 --> 43:44.298 what we currently have in terms of religion; 43:44.300 --> 43:46.340 any kind of the monotheistic religions. 43:46.340 --> 43:50.780 There's all kinds--you look at the culture--the religious 43:50.780 --> 43:55.060 tradition of any culture, you'll find all kinds of laws 43:55.061 --> 43:57.521 about regulating sexuality. 43:57.518 --> 44:01.268 Now, Yale students don't know much about the Bible-- 44:01.268 --> 44:04.548 how many of you know--you know masturbation is supposed to a 44:04.547 --> 44:07.287 bad thing, do you know what the Bible is 44:07.293 --> 44:09.183 supposed to prohibit that? 44:09.179 --> 44:14.639 Student: Story of Onan spilling his seed. 44:14.639 --> 44:17.889 Prof: Yes, so it's the story Onan spilling 44:17.885 --> 44:22.005 his seed, and do you know why he was spilling his seed or what 44:22.010 --> 44:23.430 the situation is? 44:23.429 --> 44:25.239 Student: There's different versions, 44:25.242 --> 44:27.612 one is that he was having sex with his brother's wife and 44:27.605 --> 44:29.035 didn't want to impregnate her. 44:29.039 --> 44:31.479 Prof: Why was he having--so she said he was 44:31.478 --> 44:34.068 having sex with his brother's wife and didn't want to 44:34.067 --> 44:35.807 impregnate her; that's correct. 44:35.809 --> 44:37.799 Student: Well he was doing it because his brother had 44:37.802 --> 44:39.492 passed away, and according to the Levirate 44:39.489 --> 44:41.649 marriage tradition, he was then supposed to do it, 44:41.654 --> 44:43.224 in order to have a kid that would-- 44:43.219 --> 44:45.289 have his brother's kid, but he didn't want to have a 44:45.286 --> 44:47.106 kid that would count as the brother's kid, 44:47.110 --> 44:48.950 he wanted his kid to count as his kid, 44:48.949 --> 44:51.389 so he would always pull out and spill his seed on the ground, 44:51.389 --> 44:54.379 and God said that's immoral and struck him dead. 44:54.380 --> 44:57.860 Prof: Right, exactly correct. 44:57.860 --> 45:00.930 I have to repeat this for the camera. 45:00.929 --> 45:03.789 The situation--it's a very short passage, 45:03.789 --> 45:07.679 a very interesting passage, and it's giving out various 45:07.681 --> 45:10.351 moral-- it's in a section giving out 45:10.351 --> 45:12.401 moral laws, and it says, 45:12.402 --> 45:16.392 'someone had sons and one of them was Ur, 45:16.389 --> 45:18.409 and Ur was married, and Ur died.' 45:18.409 --> 45:20.469 It doesn't say much about Ur except that he died. 45:20.469 --> 45:22.049 Onan was the next brother. 45:22.050 --> 45:27.340 Repeated in the Old Testament many times is that if a man's 45:27.338 --> 45:32.528 brother dies he has the moral obligation to inseminate the 45:32.534 --> 45:36.734 sister-- the sister-in-law--in order to 45:36.731 --> 45:40.561 secure an heir for the dead brother. 45:40.559 --> 45:44.809 That if he fathers a child with his sister-in-law then that is 45:44.809 --> 45:48.519 not considered his child, it is considered the dead 45:48.521 --> 45:50.931 brother's child, and that's one of these 45:50.929 --> 45:54.049 important things of carrying on the family lines which is one of 45:54.054 --> 45:56.934 the ways of course insures a high population birthrate. 45:56.929 --> 46:02.139 This is a way of keeping women, whether they're married or not, 46:02.139 --> 46:03.939 whether their husband is dead or not, 46:03.940 --> 46:06.850 you've got to keep them reproducing or the culture 46:06.847 --> 46:07.617 disappears. 46:07.619 --> 46:11.339 Why doesn't Ur want to do--why doesn't Onan want to do this? 46:11.340 --> 46:15.940 Well he may or may--it's not his kid so it was born-- 46:15.940 --> 46:19.750 there's none of this sort of power and authority, 46:19.750 --> 46:22.390 and macho stature to come with having a lot of kids because 46:22.393 --> 46:24.623 it's the brother's kid, in the culture it was the 46:24.621 --> 46:27.051 brother's kid, but on top of that he would 46:27.052 --> 46:28.752 have to support this kid. 46:28.750 --> 46:31.200 Economically he would have to support not only the wife but 46:31.195 --> 46:33.605 the kid, and he didn't want to have to 46:33.612 --> 46:37.512 support kids that weren't his, so he engaged in the sex act 46:37.514 --> 46:40.134 because that was the fun part of it and-- 46:40.130 --> 46:44.290 but at the last minute he pulls out and spills his seed upon the 46:44.286 --> 46:44.876 ground. 46:44.880 --> 46:48.450 Then the Bible passage is very curt, it doesn't say more--and 46:48.449 --> 46:49.759 then God killed him. 46:49.760 --> 46:52.360 There's not a lot of explanation for this. 46:52.360 --> 46:55.070 It's repeated, this particular law called the 46:55.072 --> 46:57.912 levirate laws, as a student said is repeated 46:57.905 --> 47:00.605 in several places in the Bible and it's very, 47:00.614 --> 47:03.144 very clear that people didn't do this. 47:03.139 --> 47:06.459 People did not insem--did not want to inseminate their 47:06.456 --> 47:10.396 brother's wives because of these reasons and so whenever you see 47:10.400 --> 47:13.660 a law sort of demanding something over and over again 47:13.657 --> 47:17.217 you know people weren't doing it and that's why the law is 47:17.224 --> 47:18.544 demanding it. 47:18.539 --> 47:24.409 That's just one example of how religion gets involved in 47:24.413 --> 47:28.433 enforcing fertility, and in this particular example, 47:28.434 --> 47:31.514 it's one of the mechanisms for keeping every woman pregnant as 47:31.514 --> 47:35.624 much of the time as possible, independent of her state of 47:35.623 --> 47:36.533 marriage. 47:36.530 --> 47:42.850 The--anybody know why the Muslims took to polygamy? 47:42.849 --> 47:48.069 Why Mohammed allowed four wives; no Muslims in the class? 47:48.070 --> 47:49.020 Student: To free women from slavery. 47:49.019 --> 47:51.749 Prof: What? 47:51.750 --> 47:53.740 Student: To free women from slavery. 47:53.739 --> 47:57.149 Married women--that's the version that I remember. 47:57.150 --> 47:57.970 Prof: No. 47:57.972 --> 48:00.802 The standard version is they were going through a lot of 48:00.797 --> 48:01.207 wars. 48:01.210 --> 48:03.100 The Muslims were conquering the whole world, they were 48:03.101 --> 48:04.851 constantly at war, the men were getting killed. 48:04.849 --> 48:08.439 There weren't enough men, so what do you do with the 48:08.443 --> 48:09.433 other women? 48:09.429 --> 48:11.869 They--I mean many reasons but one of-- 48:11.869 --> 48:15.309 they need support and so it's a beneficial thing, 48:15.309 --> 48:18.019 but their society needed more men, more children, 48:18.018 --> 48:20.988 so let them get married multiply. 48:20.989 --> 48:24.079 You just--whatever religion you want to look at you'll find 48:24.077 --> 48:25.567 similar kinds of examples. 48:25.570 --> 48:33.070 When we get to family planning issues later on, 48:33.070 --> 48:36.140 how people controlled their reproduction, 48:36.139 --> 48:38.609 one of the major beliefs that the early-- 48:38.610 --> 48:41.060 we don't really know again, but in the West was that the 48:41.059 --> 48:43.509 mechanism people used was coitus interruptus, 48:43.510 --> 48:45.290 because it was the only thing they knew about. 48:45.289 --> 48:47.229 It's in the Bible, it tells you what you do, 48:47.230 --> 48:51.750 it tells you the result of it, and so that Onan passage is 48:51.753 --> 48:55.643 currently interpreted to say that masturbation and 48:55.641 --> 48:58.431 contraception, all kinds of things are bad, 48:58.432 --> 49:00.912 when in fact the passage has nothing to do with that. 49:00.909 --> 49:03.879 That's not what that passage is about but that's what it's used 49:03.876 --> 49:06.746 for today, but it's been used absolutely for the opposite. 49:06.750 --> 49:09.930 People use this, oh that's how I can avoid 49:09.929 --> 49:13.729 having children and so it's--culture twists itself 49:13.731 --> 49:16.991 about and has unexpected consequences. 49:16.989 --> 49:23.419 Okay, so I've been stressing for you that culture pushes up 49:23.423 --> 49:27.643 fertility and up to this high limit. 49:27.639 --> 49:32.179 What is the limit of human fertility? 49:32.179 --> 49:34.409 We have to evaluate that. 49:34.409 --> 49:38.149 There's a very famous calculation of this and it's set 49:38.146 --> 49:41.316 by the number of years a woman is fertile, 49:41.320 --> 49:44.180 which is generally 15 to 45 more or less, 49:44.179 --> 49:45.859 it can be a little bit younger, occasionally a little bit 49:45.860 --> 49:50.540 older, but they usually consider 30 or 49:50.538 --> 49:53.808 so years of fertility. 49:53.809 --> 49:57.289 At that--well if she gets pregnant, she's pregnant for 49:57.289 --> 49:58.209 nine months. 49:58.210 --> 50:02.730 Ovulation rarely starts again before at least three months, 50:02.730 --> 50:08.460 if she's lactating and therefore going through-- 50:08.460 --> 50:12.100 not ovulating again, there's going to be more 50:12.103 --> 50:12.853 months. 50:12.849 --> 50:16.709 If a woman has sexual intercourse it takes an average 50:16.710 --> 50:19.160 of five cycles to get pregnant. 50:19.159 --> 50:21.899 When we talk about abortion we'll talk about why that is, 50:21.900 --> 50:24.400 but if a woman's having normal sex trying to get pregnant, 50:24.400 --> 50:28.130 the average is five months before she actually does get 50:28.126 --> 50:31.366 pregnant and we'll see where that comes from. 50:31.369 --> 50:35.149 If the child dies, fetal mortality introduces a 50:35.148 --> 50:39.178 month there-- anyway you add all of this up 50:39.184 --> 50:44.154 and you get 18 months that-- pretty much the maximum that 50:44.152 --> 50:48.712 human females can do is 18 months or one and a half years. 50:48.710 --> 50:50.980 Dividing--what they usually do is choose 20-- 50:50.980 --> 50:53.530 any particular woman will probably be fertile for 25 50:53.530 --> 50:56.040 years, divide that by 18 months, 50:56.038 --> 51:00.648 and you get a theoretical possibility of 16.7 children. 51:00.650 --> 51:05.410 Now how many of you know somebody's who has had more than 51:05.405 --> 51:05.995 that? 51:06.000 --> 51:10.420 What's the maximum number of children you know about? 51:10.420 --> 51:11.980 Student: I know someone with 18 children. 51:11.980 --> 51:14.820 Prof: Eighteen; I'm bid 18. 51:14.820 --> 51:16.610 Only one in the class? 51:16.610 --> 51:19.150 Student: I think the world record for a woman is 51:19.152 --> 51:21.512 somewhere--it's really high, much higher than 18. 51:21.510 --> 51:24.240 I thought it was like in the 60s. 51:24.239 --> 51:25.449 Prof: Oh, no not 60. 51:25.449 --> 51:28.509 That's really crazy unless there's some crazy multiple 51:28.507 --> 51:28.967 birth. 51:28.969 --> 51:32.859 Now with modern drugs sometimes there's multiple, 51:32.856 --> 51:33.906 but not 60. 51:33.909 --> 51:36.699 This is an unusual class, but as time goes on, 51:36.699 --> 51:39.739 families get smaller and people don't remember. 51:39.739 --> 51:43.769 The maximum I got out of this class was 24 children. 51:43.768 --> 51:46.438 I think it was a Chinese student, I don't totally 51:46.442 --> 51:48.912 remember, and that 24 was only two sets 51:48.907 --> 51:51.197 of twins, so there were 22 separate 51:51.199 --> 51:55.049 successful pregnancies, two of which produce twins, 51:55.048 --> 51:58.388 24 children, one woman. 51:58.389 --> 52:02.869 Even--forget this--independent of this calculation which I've 52:02.871 --> 52:05.861 just sort of sketched for you at the-- 52:05.860 --> 52:09.140 even before the calculation was done and the person who did the 52:09.137 --> 52:13.767 calculation knew about it-- this is not--here is 52:13.771 --> 52:22.921 the--Norway in an earlier set of women which is this set, 52:22.920 --> 52:25.690 and a later set of women, and this is the number of 52:25.688 --> 52:29.518 children that the women have, and the percentage--the per 52:29.516 --> 52:32.406 1,000 of women that have that number. 52:32.409 --> 52:40.119 In the late 1880s the most common number from Norway-- 52:40.119 --> 52:43.299 again we're talking Norway 1890, we're not talking about 52:43.298 --> 52:46.868 anything very primitive, is 10 children. 52:46.869 --> 52:51.509 The mode for Norway was 10 children and it goes out to 18, 52:51.512 --> 52:55.262 which was the record that someone here knew. 52:55.260 --> 52:57.680 There were--of course if you had a bigger assembly you get an 52:57.679 --> 52:58.929 occasional of something more. 52:58.929 --> 53:01.879 Student: The world's record it's 69 children. 53:01.880 --> 53:02.900 Prof: What does it say? 53:02.900 --> 53:06.210 Good for him--what--that's something special; 53:06.210 --> 53:07.890 does it say anything about it? 53:07.889 --> 53:09.959 Student: She has-- Student: Sixteen sets 53:09.958 --> 53:12.118 of twins, seven sets of triplets, and four sets of 53:12.117 --> 53:12.777 quadruplets. 53:12.780 --> 53:16.330 Prof: Okay so it was--what was the total number 53:16.333 --> 53:18.483 of--yeah so--okay I was wrong. 53:18.480 --> 53:24.890 Send me--both of you send me the reference for that because 53:24.887 --> 53:27.537 next year I'll use it. 53:27.539 --> 53:29.759 Now, just as long as I've got this slide up there, 53:29.755 --> 53:30.655 look what changes. 53:30.659 --> 53:35.369 We go from 40 years later, not a huge fraction of time; 53:35.369 --> 53:38.129 we're going to talk about this later in the class. 53:38.130 --> 53:41.940 It goes from the mode being 10 children to the mode being 2 53:41.936 --> 53:42.656 children. 53:42.659 --> 53:47.409 Something drastic happens in between these two in 40 years, 53:47.407 --> 53:50.107 and this is common over Europe. 53:50.110 --> 53:53.200 This is just one data set and we're going to talk about that a 53:53.204 --> 53:54.274 since it's up here. 53:54.268 --> 53:57.788 In this period of time that we're talking about women had 53:57.793 --> 54:01.393 this very un-- in the mode there's a very 54:01.385 --> 54:06.555 large number of children and they far exceeded what's 54:06.556 --> 54:09.436 calculated as the maximum. 54:09.440 --> 54:13.110 Let's see okay, the answer is that the 54:13.112 --> 54:16.292 biological limit is very high. 54:16.289 --> 54:22.059 I'll say 24, you say 69, and we have to read 54:22.063 --> 54:23.813 that stuff. 54:23.809 --> 54:27.349 In a human population, and continuing for any length 54:27.353 --> 54:30.693 of time, the highest well-documented fertility is 54:30.690 --> 54:33.470 that of the Hutterites in the 1920s. 54:33.469 --> 54:35.379 Anybody hear of Hutterites? 54:35.380 --> 54:37.660 It's a Christian religious sect that are an-- 54:37.659 --> 54:42.339 what's called an anabaptist sect that originated in Europe, 54:42.340 --> 54:45.640 migrates here, they're in the upper mid-West 54:45.635 --> 54:49.385 in North Dakota and going on over into Canada, 54:49.389 --> 54:54.609 and they're very successful in both economic ways and in 54:54.610 --> 54:56.320 population ways. 54:56.320 --> 54:59.580 They marry fairly early, not extremely early but fairly 54:59.577 --> 55:00.057 early. 55:00.059 --> 55:02.529 They have a good diet, they're farmers and very 55:02.525 --> 55:04.935 productive farmers, and they have good medical 55:04.936 --> 55:05.416 care. 55:05.420 --> 55:09.740 They engage in sex regularly; they're supposed too, 55:09.735 --> 55:14.455 and their religion forbids contraception or abortion. 55:14.460 --> 55:16.350 Not only do they have--they obey these rules. 55:16.349 --> 55:20.409 Many people have those rules in the books but this is a very 55:20.409 --> 55:23.299 religious group and they obey the rules. 55:23.300 --> 55:26.980 Their, what we call total fertility rate, 55:26.980 --> 55:30.990 which at this moment you can consider the average number of 55:30.994 --> 55:34.874 children that a woman in that society would have was 12.4 55:34.869 --> 55:35.769 children. 55:35.768 --> 55:39.348 Nothing--that's high--you think that's high, I saw someone 55:39.346 --> 55:42.856 blanch here, as an average, but nothing like the 24 or 60 55:42.860 --> 55:44.680 that we're talking about. 55:44.679 --> 55:48.139 This is the highest human population that we have 55:48.139 --> 55:52.179 documented, can have that, and it's nowhere near any kind 55:52.175 --> 55:54.405 of calculation for a limit. 55:54.409 --> 55:57.889 The most usual limit, and you see a lot of cultures 55:57.889 --> 56:01.369 in at least some part of the history where the-- 56:01.369 --> 56:06.449 eight is current cultures were or historical cultures where 56:06.447 --> 56:09.947 eight is kind of a maintained average. 56:09.949 --> 56:11.589 In the colonial United States, for instance, 56:11.590 --> 56:15.280 for a short time when the frontier was wide open they had 56:15.282 --> 56:18.452 a fertility rate of eight children per women, 56:18.449 --> 56:23.019 but as soon as the frontier would close in a region the 56:23.019 --> 56:25.389 fertility rate would drop. 56:25.389 --> 56:27.729 It's clearly land availability had something to do with it. 56:27.730 --> 56:29.730 There's good data for Massachusetts, 56:29.728 --> 56:32.468 Concord Massachusetts, very good demographic data 56:32.469 --> 56:33.039 there. 56:33.039 --> 56:35.879 People had these high birth rates until the frontier closed. 56:35.880 --> 56:39.800 What did the frontier mean in 1600s in Massachusetts? 56:39.800 --> 56:42.670 It meant like Springfield, these were people living in 56:42.670 --> 56:44.030 Plymouth, and Concord, 56:44.032 --> 56:46.532 and Lexington, right near the coast and the 56:46.527 --> 56:49.847 frontier was Springfield, and as soon as--if they had a 56:49.847 --> 56:52.697 lot of children, the children would have to move 56:52.702 --> 56:56.432 out to Springfield or somewhere which is 100 miles or something 56:56.425 --> 56:59.185 like that and that was beyond the frontier. 56:59.190 --> 57:03.070 As soon as the children had to move more than a day's horse 57:03.074 --> 57:05.624 ride away the fertility rate drops, 57:05.619 --> 57:07.419 so there's something about having the support of your 57:07.422 --> 57:09.362 children, really having a group that 57:09.364 --> 57:10.834 increases the fertility. 57:10.829 --> 57:14.329 As soon as the children will have to disperse and not anymore 57:14.331 --> 57:16.491 be of some sort of support to you, 57:16.489 --> 57:20.799 or some part of your group, fertility comes back down. 57:20.800 --> 57:27.140 No society really has ever come close to the biological limit. 57:27.139 --> 57:31.149 Before we talked about how culture pushes up the birth 57:31.153 --> 57:33.653 rate, but now we see that something 57:33.648 --> 57:37.698 is pushing down the birth rate, that we're coming to an 57:37.704 --> 57:39.364 intermediate level. 57:39.360 --> 57:44.840 What's going on is again fairly straightforward and simple. 57:44.840 --> 57:52.240 That it was this slide that I want--here is again fairly 57:52.237 --> 57:54.117 recent data. 57:54.119 --> 57:58.069 Chinese women interviewed in 1981, but referring to their 57:58.072 --> 58:02.172 pregnancies which had been sometime in the past and it says 58:02.166 --> 58:06.466 it tried to gather data on what was the birth interval of your 58:06.472 --> 58:09.652 children and how many of them survived? 58:09.650 --> 58:13.920 If the birth interval was less than two years 45% of the 58:13.918 --> 58:15.158 children died. 58:15.159 --> 58:20.779 If it was between two and three years, 34% of the children died. 58:20.780 --> 58:26.340 If it was more than three years, only 19% of the children 58:26.335 --> 58:27.025 died. 58:27.030 --> 58:31.160 In every culture and every time and place where we have data 58:31.164 --> 58:35.234 like this it's very clear that if the birth interval is too 58:35.228 --> 58:38.818 small, the children just don't survive. 58:38.820 --> 58:44.390 What's going on with pushing down the fertility rate is that 58:44.393 --> 58:46.513 it-- especially in situations of 58:46.507 --> 58:48.797 poverty where resources are not great, 58:48.800 --> 58:51.440 women are not especially healthy, there's no-- 58:51.440 --> 58:56.030 any kind of medicine available, that if the child does not get 58:56.032 --> 58:59.312 a lot of resources, which a large case is milk from 58:59.311 --> 59:01.091 the mother is the primary thing-- 59:01.090 --> 59:05.890 in China there's no dairy products at this time in this 59:05.887 --> 59:07.217 social class. 59:07.219 --> 59:09.879 It's largely food directly from the mother; 59:09.880 --> 59:12.570 the children are just going to die. 59:12.570 --> 59:17.120 The reason that fertility is pushed up from below, 59:17.119 --> 59:22.879 is pushed down is not to reduce total number of children but to 59:22.876 --> 59:25.936 maximize surviving fertility. 59:25.940 --> 59:28.550 What people aim is not to just keep popping them out and having 59:28.547 --> 59:29.007 them die. 59:29.010 --> 59:33.950 What people aim at and cultures have learned to accommodate to 59:33.952 --> 59:36.952 is to maximize surviving fertility. 59:36.949 --> 59:39.929 Not total fertility, which is just being born, 59:39.929 --> 59:44.439 but maximizing the number of children that are going to stay 59:44.440 --> 59:48.030 alive to become adult reproducing members of the 59:48.032 --> 59:48.952 society. 59:48.949 --> 59:55.639 Now people have many mechanisms for limiting the birth rate. 59:55.639 --> 1:00:00.879 One that is often quite conscious is breastfeeding; 1:00:00.880 --> 1:00:03.960 it's a very standard method across many cultures. 1:00:03.960 --> 1:00:08.320 You've all heard of this, lactation amenorrhea, 1:00:08.320 --> 1:00:14.300 and many, many cultures don't leave-- 1:00:14.300 --> 1:00:16.560 I mean in our culture a woman can breastfeed a little bit or 1:00:16.563 --> 1:00:18.163 long, it's totally up to the 1:00:18.157 --> 1:00:18.857 individual. 1:00:18.860 --> 1:00:22.990 Many cultures are very strict rules about this. 1:00:22.989 --> 1:00:26.069 You must breastfeed for at least--and there's a certain 1:00:26.070 --> 1:00:27.040 period of time. 1:00:27.039 --> 1:00:31.699 Among the !Kung of Southwest Africa, which these people speak 1:00:31.702 --> 1:00:35.512 this click language, they've got all these--you've 1:00:35.510 --> 1:00:36.910 heard of them. 1:00:36.909 --> 1:00:39.849 Mothers keep the infant with them at all times, 1:00:39.849 --> 1:00:42.979 they nurse all day, at intervals separated by only 1:00:42.981 --> 1:00:43.941 15 minutes. 1:00:43.940 --> 1:00:46.870 Bonnie how would you like to have that all day long? 1:00:46.869 --> 1:00:49.639 Nurse every 15 minutes the child; 1:00:49.639 --> 1:00:53.209 they sleep next to the mother, and have access to her breast 1:00:53.211 --> 1:00:56.721 all night long and the nursing continues until the child is 1:00:56.722 --> 1:00:58.542 more than three years old. 1:00:58.539 --> 1:01:02.049 By that mechanism, primarily by the lactation 1:01:02.050 --> 1:01:06.920 amenorrhea, the birth interval among !Kung is four years which 1:01:06.918 --> 1:01:10.108 fits--is beyond this survival issue. 1:01:10.110 --> 1:01:15.660 This is the kind of--I talked about Nomads and people that 1:01:15.659 --> 1:01:19.029 have-- fairly conscious--they're 1:01:19.025 --> 1:01:25.125 probably are aware that this is limiting the births and it's 1:01:25.130 --> 1:01:28.650 something that they want to do. 1:01:28.650 --> 1:01:33.210 When the women go foraging they carry their children-- 1:01:33.210 --> 1:01:35.970 again the !Kung, they carry their children with 1:01:35.969 --> 1:01:39.569 them until their four years old and while carrying the infant 1:01:39.570 --> 1:01:42.210 she walks up to 12 miles round trip to-- 1:01:42.210 --> 1:01:46.280 it takes 6 miles to go out and find some food and come back; 1:01:46.280 --> 1:01:50.060 12 miles round trip and then in addition to that she carries 1:01:50.059 --> 1:01:51.789 loads of 15 to 35 pounds. 1:01:51.789 --> 1:01:55.469 Here's a woman who--being a hunter gatherer is probably 1:01:55.465 --> 1:01:59.175 fairly healthy, she's carrying an infant on her 1:01:59.177 --> 1:02:02.107 back, walking around 12 miles, 1:02:02.110 --> 1:02:07.050 and coming back with a load of 35 pounds of food. 1:02:07.050 --> 1:02:10.570 It's quite a feat and it's clear that they can't-- 1:02:10.570 --> 1:02:12.260 they're not going to have a second infant, 1:02:12.260 --> 1:02:14.790 one on the back, one of the hip, 1:02:14.789 --> 1:02:18.219 this is not a way of improving survival. 1:02:18.219 --> 1:02:22.529 That's--lactation is one mechanism. 1:02:22.530 --> 1:02:28.560 There's many taboos on sexual relations, especially after 1:02:28.557 --> 1:02:29.417 birth. 1:02:29.420 --> 1:02:32.270 In many cultures, as I said, a prescribed period 1:02:32.271 --> 1:02:33.061 of nursing. 1:02:33.059 --> 1:02:37.319 There's also a post-partum taboo against having sexual 1:02:37.317 --> 1:02:41.327 relations, and again, another obvious mechanism for 1:02:41.333 --> 1:02:42.783 birth spacing. 1:02:42.780 --> 1:02:48.090 If you--again this gets to the degree of consciousness of these 1:02:48.092 --> 1:02:48.952 methods. 1:02:48.949 --> 1:02:52.609 If you ask a member of a society that has a taboo they 1:02:52.610 --> 1:02:56.690 report for instance that sex at that time is very dangerous, 1:02:56.686 --> 1:02:58.616 a life and death matter. 1:02:58.619 --> 1:03:01.819 It is dangerous to mix the man's blood with the woman's, 1:03:01.820 --> 1:03:04.790 and the man's blood is transmitted through semen. 1:03:04.789 --> 1:03:08.089 It's a bodily fluid and they don't totally--the biology is 1:03:08.088 --> 1:03:09.128 not very strong. 1:03:09.130 --> 1:03:12.730 Their course at Yale was terrible--we'll talk a lot 1:03:12.731 --> 1:03:14.841 about-- not a lot--some, 1:03:14.844 --> 1:03:19.334 about what pre--pre-education people believe about 1:03:19.331 --> 1:03:22.171 reproduction and everything. 1:03:22.170 --> 1:03:28.510 If man's blood gets into the woman through his semen then it 1:03:28.509 --> 1:03:33.169 also gets into her milk, and then the man's blood goes 1:03:33.166 --> 1:03:36.916 back into the baby through the mother's milk and this is poison 1:03:36.920 --> 1:03:37.890 for the baby. 1:03:37.889 --> 1:03:43.959 That's their version of why they shouldn't--why they have 1:03:43.960 --> 1:03:45.370 this taboo. 1:03:45.369 --> 1:03:47.319 We see this in the evolution of cultures, 1:03:47.320 --> 1:03:49.100 I mean just as we evolve biologically, 1:03:49.099 --> 1:03:52.869 of course evolve culturally, that cultures may-- 1:03:52.869 --> 1:03:56.769 will pick up a behavioral pattern for who knows what 1:03:56.766 --> 1:03:59.166 reason, and they may have no clue what 1:03:59.172 --> 1:04:01.922 it's 'real' as we see it, it's 'real' purpose is, 1:04:01.916 --> 1:04:04.996 in this case to space births apart they have some kind of 1:04:05.003 --> 1:04:08.143 cultural story about it and it doesn't matter whether that 1:04:08.143 --> 1:04:10.683 cultural story has any degree of reality. 1:04:10.679 --> 1:04:13.639 If they've picked up a cultural norm that works, 1:04:13.635 --> 1:04:16.965 the society is still here, and that gets passed on. 1:04:16.969 --> 1:04:22.779 If that cultural practice does not work, not only reproduction, 1:04:22.775 --> 1:04:26.705 all sorts of ways, that society is gone. 1:04:26.710 --> 1:04:31.760 This post-partum abstinence is a major issue, 1:04:31.760 --> 1:04:34.860 especially in Africa now. 1:04:34.860 --> 1:04:40.170 The abstinence is up to three years which is--that's sort of 1:04:40.170 --> 1:04:42.780 the mode of this in Africa. 1:04:42.780 --> 1:04:46.890 In addition to limit births, there's another thing which 1:04:46.889 --> 1:04:50.029 again is a population limitation issue, 1:04:50.030 --> 1:04:52.100 because we've talked about individual family limitation 1:04:52.097 --> 1:04:53.897 issues, trying to keep the kid alive. 1:04:53.900 --> 1:04:58.190 If the village is resource limited they may have mechanisms 1:04:58.186 --> 1:05:02.766 for keeping the whole population of the whole village down, 1:05:02.768 --> 1:05:06.098 and so in Africa especially, they have a thing called 1:05:06.099 --> 1:05:07.509 terminal abstinence. 1:05:07.510 --> 1:05:10.780 That means at a certain point in life the culture demands that 1:05:10.782 --> 1:05:12.662 you stop having sexual relations. 1:05:12.659 --> 1:05:16.709 Very often this is when your daughter has her first child. 1:05:16.710 --> 1:05:19.700 After that you're a grandmother, and you're not 1:05:19.699 --> 1:05:21.779 supposed to reproduce anymore. 1:05:21.780 --> 1:05:25.110 It's interesting what--to prevent--they perceive it as 1:05:25.110 --> 1:05:28.880 preventing conflicts between their duties as mother and their 1:05:28.882 --> 1:05:31.892 duties as grandmother, so a grandmother is supposed to 1:05:31.891 --> 1:05:33.161 help raise the grandchildren. 1:05:33.159 --> 1:05:36.909 And there's a lot of biological theory about why do humans, 1:05:36.909 --> 1:05:41.819 somewhat unique among animals, why don't we just die -- 1:05:41.820 --> 1:05:43.550 females especially after their fertile period, 1:05:43.550 --> 1:05:45.930 there's no reason for you to evolutionarily stay alive, 1:05:45.929 --> 1:05:49.979 most animals they don't have a post-menopausal period. 1:05:49.980 --> 1:05:53.930 The theoretical reason is the grandmother effect, 1:05:53.929 --> 1:05:57.959 that as a grandmother you support the children of your 1:05:57.956 --> 1:06:00.366 child, and that increases their 1:06:00.369 --> 1:06:03.469 survival, and so it's evolutionarily good. 1:06:03.469 --> 1:06:05.649 Here in these tribes in Africa, are basically saying the same 1:06:05.646 --> 1:06:07.606 thing that if you're a grandmother you're going to have 1:06:07.605 --> 1:06:09.815 a conflict between taking care of your own children and taking 1:06:09.818 --> 1:06:11.268 care of your daughter's children, 1:06:11.268 --> 1:06:16.658 and that conflict is bad so you have to not engage in sexuality. 1:06:16.659 --> 1:06:19.909 Up to the middle of the 1900s in Ireland, 1:06:19.909 --> 1:06:22.759 rural Ireland, people lived in households with 1:06:22.755 --> 1:06:26.165 many members of both sexes and several generations, 1:06:26.170 --> 1:06:28.530 big multi-family houses. 1:06:28.530 --> 1:06:31.760 The Irish believe that there should be only one sexually 1:06:31.757 --> 1:06:35.507 active procreative couple in the household, so they also practice 1:06:35.514 --> 1:06:37.104 grandmother abstinence. 1:06:37.099 --> 1:06:41.529 These cultural items are--they may seem a little outlandish to 1:06:41.527 --> 1:06:44.937 us in our modern day but they were effective. 1:06:44.940 --> 1:06:52.510 They kept that society going. 1:06:52.510 --> 1:06:57.720 Another issue is exogamy, that just like chimpanzees, 1:06:57.719 --> 1:07:01.899 it's again in most animals, it's the males that disperse, 1:07:01.900 --> 1:07:06.010 but in chimps and humans it's the females that disperse. 1:07:06.010 --> 1:07:10.080 The females leave the community at birth, 1:07:10.079 --> 1:07:13.699 to go live with the man's family, and so she's under the 1:07:13.697 --> 1:07:17.157 control then, in many cultures basically a 1:07:17.159 --> 1:07:22.269 slave to the son's family, and the reproductive rules are 1:07:22.266 --> 1:07:27.746 then set by the son's family and she has no choice in this and 1:07:27.751 --> 1:07:32.361 we'll talk about that extra-- this out marrying--remember 1:07:32.358 --> 1:07:36.008 with chimpanzees they were hostile to the neighbors around 1:07:36.010 --> 1:07:38.640 us, human societies are that same 1:07:38.643 --> 1:07:39.023 way. 1:07:39.018 --> 1:07:44.588 The professor in the lab next to me is from China, 1:07:44.590 --> 1:07:47.780 a village near Shanghai, and he describes this to me in 1:07:47.777 --> 1:07:49.327 China, and he says my village, 1:07:49.331 --> 1:07:51.021 which have all the same name as him, 1:07:51.018 --> 1:07:54.358 it's all a male bonded, the males have been there 1:07:54.355 --> 1:07:56.545 forever, they all have the same last 1:07:56.554 --> 1:07:59.754 name--they're hostile to all the villages around them so they 1:07:59.746 --> 1:08:01.816 won't marry the village around them. 1:08:01.820 --> 1:08:06.150 To get married they have to go two villages away and they're 1:08:06.148 --> 1:08:07.908 still sort of enemies. 1:08:07.909 --> 1:08:10.409 In New Guinea where all over the world that's the same 1:08:10.409 --> 1:08:11.929 problem, you're fighting with your 1:08:11.929 --> 1:08:13.699 neighbors, and yet you have to get wives 1:08:13.695 --> 1:08:16.905 from somewhere, you have to exchange genetic 1:08:16.912 --> 1:08:20.272 material, otherwise you get inbreeding 1:08:20.271 --> 1:08:25.311 and so the Mae Enga they say in New Guinea that we marry our 1:08:25.313 --> 1:08:27.663 enemies and-- this is a great story. 1:08:27.659 --> 1:08:30.749 Time is up; I will continue this story next 1:08:30.747 --> 1:08:31.217 time. 1:08:31.220 --> 1:08:36.000