Image by Lorenzo Cafaro from Pixabay

Describing your dataset with just “the average” is dangerous. Whether you’re talking about the average sales per person, or the average inactive clients per location, you aren’t getting the full picture. Plus, if you’re measuring individual employees against “the average,” perhaps you aren’t really measuring anything at all and everybody just gets stressed.

Let’s begin with a real life example of how over-reliance on averages fail us.

The US Airforce in the 1950’s was suffering from a high rate of accidents during flights. The cause of these accidents, after investigation, was largely attributed to “pilot error.” More specifically, these errors…

Michael Piastucki

Fullstack Developer living in Tokyo, Japan. Talk to me about programming, data science and history!

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