I like the visual representation of data in this chart, reproduced from Nicolas Rapp’s quite interesting Information Design blog. I find the data both counterintuitive and yet very intuitive at the same time: The longer you have lived thus far, the longer you are likely to live overall, even though younger people will benefit more from life-extending innovations.
According to these data, my expected lifespan is 77 years, which gives me about 50 more years to try to make the best of what I have.
Maybe that doesn’t sound like a lot, but I am definitely fine with it. As surprising as it sounds, a life expectation of 77 years is actually 46 years longer than the average life expectancy we’ve had only 100 years ago.
Also interesting are the facts (or my inferences?) that people are most likely to die from accidents, on relative terms, when they are also most likely to get married; and that mid-life crisis seems a lot more lethal than teenage angst and depression, which we associate more with drug use.
However, I maintain some serious reservations about the validity of this graph on cross-temporal basis. It might reflect an accurate snapshot of statistics as they are now, but major scientific discoveries do not follow a linear path, and it is virtually impossible to model them accurately in our predictions. Just as antibiotics and vaccines suddenly gave us much longer lifespans, I foresee a similar jump in the near future as a result of the proliferation of biologic drugs and nanotechnology, which will eventually replace the traditional pharmaceuticals.
On a related postscript, I highly recommend this short clip by Prof. Hans Rosling (and his other work), if you are interested to learn more about life expectancy and its relation to economic development.
9 thoughts on “Average Life Expectancy”
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Just do me a favor and keep writing such tercnnhat analyses, OK?
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Look at all those interesting oscillations in the life expectancy of certain countries in the 19th century. We must remember folks, 2 things:1) A bucketload of the data is just pure speculation as systematic, comprehensive scientific data pooling of large national populations is a relatively recent thing (like maybe 100 years). 2) The income per person is just GDP/population. This doesn’t mention distribution of wealth, thus a relatively high up nation could have millions starving.
Prof. Hans Rosling, very cool guy…
He is pretty awesome. I like cool professors 🙂