Read: How not to be wrong
With “How not to be wrong” being about mathematical thinking I was a bit surprised about how much of it was about statistics. And even though it (may) lack(s) the depth of critique of the (ab)use of statistics that can be found in the works of Ziliak and McCloskey or Gigerenzer it is a very good popular treatment of the topic. Worth the read.
A particular additional added value is – in my opinion – the reminder that most things in the real world are not linear. Linearity is just an approximation, valid for only (very) small ranges. I agree with Ellenberg, we – I – forget this too often.
The only thing that I did not like was the sports references (I can condone idiosyncratic tastes in music). The book includes lots of footnotes and endnotes with references. So many, and so many recent ones that I, indeed, found a few new sources that I added to my to-read list. That is rare.