(small) samples versus alternative (big) data sources
Those of you who already have attended a meetup of the Brussels Data Science Community know that, besides excellent talks, those meetups are fun because of the traditional drinks afterwards. So after the last meetup we were on our way to a bar on the campus of the University of Brussels and I had this chat with @KrisPeeters from Dataminded. Now if you are expecting wild stories about beer and loose women (or loose men for that matter), I'm afraid I'll have to disappoint you. Instead we discussed ... sampling. Kris was questioning whether typical sample sizes market research companies work with (say in the hundreds or a few thousand at the max) still matter these days, given that we have other sources that give us much larger quantities of data. I told him everything depends on the (business) question the client has. To start with we can look at history to answer this question. In 1936 the Literary Digest poll had a sample size in the millions. But, obviously, that sample wa