Sunday, December 29, 2019
Risk, Demography, and Technological Evolution in...
Mark Collard’s lecture was about risk, demography, and technological evolution in non-industrial populations and he discussed the evolution of tool use among a variety of groups of hunter-gatherers and food-producing communities. Collard states that the number and complexity of tools varies greatly among populations and he focuses on why this variation exists. He starts off by discussing and analyzing toolkit variation in both hunter-gatherer and farming societies and then moves on to discuss overall technological variation in these societies and the possible explanation for it. He lists four hypotheses that help explain this variation in toolkits among groups. They are the Diet hypothesis, the Risk hypothesis, the Mobility hypothesis,†¦show more content†¦He then moves on to food producers (farmers) instead of hunter-gatherers. He notes that population size is a major driver in technological variation among food- producers and there is no evidence of risk of resource failure in these larger groups. I think that the most interesting question posed by Mark Collard is whether there is a difference between hunter-gatherers and food producers in regards to toolkit variation. Not only is he interested in the difference between the two group types, he uses multiple variables and hypotheses to measure and analyze these differences. If I was to do this experiment, it would have never crossed my mind to compare groups of different composition and social structure. I would have thought that humans are all capable of the same activities and that global variation among toolkit complexity and richness was due mostly to environmental factors. The most important thing I learned was how tool use evolved over time, leading to our species’ current use of advanced tools. Even though Collard did not speak about humans over a long period of time or directly about human evolution, one can deduce that as our species evolved from foragers to organized societies, our toolkit complexity and richness increased dramatically. 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