If there's one thing that's better than a juicy statistic, it's enjoying the process of pulling apart a dodgy one. It's why the radio programme More or Less is so excellent - so Paul Goodwin's book, subtitled 'surviving statistics in a post-truth world' was something I was really looking forward to - but for reasons I find it hard to put my finger on, it doesn't quite hit the spot. Goodwin, a maths professor at the University of Bath, starts with a series of chapters telling us what's wrong with many of the statistics we see everyday. And he makes good points. We discover the dangers of rankings and trying to summarise a complex distinction in a single measure. We see why proxies are poor (essentially, if you can't actually measure what you want to, using something else that might be an appropriate indicator, but often isn't). We explore why polls are problematic. And there's a bit on Bayesian statistics and how it still tends to be d...