Quite some time has passed since my last post. Unfortunately, I was busy with work. As a PhD student in the life sciences, you have to spent some time in the lab, and when you have spent enough time (or your supervisor thinks you have), than you have to scrape your poor results together to write a lousy manuscript. Basically you have mixed feelings, because you did everything three times with three different outcomes, but your supervisor convinced you to ‘pick the best one’ (which means, the one that fits best to the story). Besides, you find that statistical tests are overrated, so you pick one which delivers a significant p-value and ignore contradictory ones. Don’t be concerned, everybody does it that way (The mentioned meta study found a non-expected over representation of p-values just below 0.05, a threshold usually regarded as significant). I must confess, I drew a rather dark picture here, but a lot of research is done that way because the pressure to publish is high.
But this is another story and it’s certainly more entertaining to take a look at some beer statistics. Luckily, each country has a brewer’s and maltster’s guild collecting data on breweries across the nation. Even better, they submit their data to the european brewers association which collects and releases the data. Their publications are of high quality, therefore we concentrate on just a very few aspects. The questions I had in mind were: Who’s the strongest producer, who’s the strongest consumer, which countries are explicitly exporters or importers and where are the most breweries. Here are the answers (click to enlarge).