I have just finished reading this excellent book, Statistics done wrong: a woefully complete guide by Alex Reinhart . I’d recommend it to anyone interested in quantitative biology and particularly to PhD students starting out in biomedical science. Statistics is a topic that many people find difficult to grasp. I think there are a couple of reasons for this that I’ll go into below.

I saw this great tweet (fairly) recently: I thought this was such a great explanation of when to submit your paper. It reminded me of a diagram that I sketched out when talking to a student in my lab about a paper we were writing. I was trying to explain why we don’t exaggerate our findings. And conversely why we don’t undersell our results either. I replotted it below:

I thought I’d share this piece of analysis looking at productivity of people in the lab. Here, productivity means publishing papers. This is unfortunate since some people in my lab have made some great contributions to other peoples’ projects or have generally got something going, but these haven’t necessarily transferred into print. Also, the projects people have been involved in have varied in toughness.