When should we trust statistics?
It is easy to spend an entire lesson looking at statistics whose intent seems to distort a reader’s understanding of an event. A classic work on my early years of teaching TOK was How to Lie with Statistics by Darrell Huff and then Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists by Joel Best. The latter book discusses the travels of both good and bad statistics. Notably, Best talks about the source of bad statistics – bad guesses, descriptive definitions, confusing questions and biased samples; mutant statistics. And the ways in which good statistics can be mangled, misused and misunderstood; as well as the problems of statistical comparison.



Photo taken by Gabriel Solari