“A surprisingly good heuristic for "how outlier-y/crappy is my data":

- N is number of datapoints.
- Sort your data.
- Get rid of the first and last k * sqrt(N) points.

For what value of k does the data start to look "sensible"?

k < 0.3: pretty good data
k > 3: pretty bad data”