Data Scientists Know When You’re Going to Die: Here’s How
According to Population.io, I’ll be checking out on October 29, 2064. Of course, this is just an estimate and I could just as easily live to 100 — or get hit by a bus tomorrow. Or, maybe we’ll all be cyborgs by then and age won’t mean a thing.
No matter how I meet my end, the data itself is fascinating.
“Population.io aims to make demography – the study of human populations – accessible to a wider audience. We believe that demographic data can play an important role in understanding the social and economic developments of our time. Our hope is that people from all walks of life, in all ages and across all countries will explore a new perspective of their own life and find their own place in the world of today and tomorrow.”
The United Nations and World Population Prospects publish birth and death data in annual and 5-year cycles. The data used for the models shown at Population.io is from 1950-2010, which gives demographers – or data scientists – a reasonably accurate way to predict future populations up until around the year 2100. This data is then broken down by country and used to make remarkably accurate models and predictions .
Check it out for yourself and let us know what you find in the comments below.
If you’d like to learn more, check out this TED Talk covering demography in greater detail. It’s fascinating stuff.
Using the data at Population.io, are you considered young or old? What’s the average life expectancy based on the year you were born? Share your details in the comments below.
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