I’ve come up with a little rule of thumb I try to keep in mind when coming across a piece of data that, prima facie, might appear anomalous. Instead of thinking “weird; how do I explain this?,” I force myself to ask, “what set of assumptions or grid of classification makes this anomalous?” Continue reading “Rule of Thumb: Forget Anomalies”