I once got slightly intoxicated while “studying” the night before a major exam in statistics. Normally this would not be something to be proud of, but the fact is, despite the morning headache, my mind was clear of distractions and all that wonderful statistical knowledge flowed onto the paper just as smoothly as the beer flowed into my belly the night before. I aced the exam and secured my future in psychology. (This is a story that Nick likes to tell whenever someone mentions exams and drinking in the same sentence).
It turns out there is a very good reason that beer and statistics go together like birds of a feather. The study of statistics has been linked with beer since its early history. Anyone with basic stats knowledge has heard of Student’s t-distribution, often used to tell if two groups are different from each other on some measure. Student was the pen name of William Sealy Gosset, a statistician working in Dublin. The dude chummed with some of the more familiar names in stats, like Pearson and Fisher.
The thing is, Gosset didn’t give a crap about discovering the inner workings of the mind by poking and prodding samples of unsuspecting humans. No, Gosset just wanted to use mathematics to brew tasty beer. He worked for the Guinness brewery, applying statistical knowledge to growing and brewing barley. Guinness wanted to protect this powerful secret knowledge from competitors, so Gosset was forced to publish under a fake name, and apparently more math-creative than naming-creative, chose the name “Student.”
So that’s how Student’s t-distribution was born. And that’s why having a few pints of Guinness before a major stats exam should be encouraged. Even if it results in failure – and very well might – mention to the prof that it was a tribute to the long and fascinating history of beer and statistics. That’s gotta be worth a few bonus marks.
P. S. I hope you noticed the subtle normal curve in the picture of the Guinness up there. That took some serious Photoshop skills you know.