This wasn’t the typical kind of statistics lecture; I reckon I have had at least four stats courses over the years, and whilst I know enough to know what to do (or where to find out what to do), I think it is fair to say that I don’t really get statistics. I can do it, but it never really makes sense. And all those stats lectures were dull, dull, dull, and dry.
This one was different. Not talking so much about stats as our ignorance of stats, and largely based on data rather significance tests, Rosling was as much entertainer as statitician. (I think on of his slides described him as “edutainer”.)
He was talking about how numbers can be used to describe the world – not to the exclusion of other inputs, but to produce a rounded picture.
The bulk of his talk was about population growth and world poverty, and the causes of change in these global phenomena – largely economics. In between, he told stories of his life amongst the numbers, when to trust them and when not. (“Not” seemed to be mostly when you don’t actually have the data – he highlighted how wrong our assumptions about the world can be.)
Rather than try to reproduce what he said (without the laughs), here are some of his TEDtalks covering similar issues…
…on population growth
All the data and the manipulations he used can be viewed on Gapminder, where one can play around with the data and visualisation. A great way to while away the Easter break…