Well, I'm interested in the anomalies. In our (human) process of
  simplifying everything, the outliers are erased off of the page
  because they skew the statistical results of the averages and
  means.

  But as someone who was always a bit of a statistical blip, I
  felt the role of the outlier was to bring the norms and means
  *UP* or _out_ or _beyond_, rather than something to be erased or
  "normalized".

  I don't have a problem with statistical outliers being ignored
  when doing data collections with imperfect equipment. For
  electronics, manufacturing, whatever, it's a marvelous system.

  But when it's used with people... well, that's when I take issue
  with it.

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