Wednesday, January 9, 2019

The seven deadly sins of statistical misinterpretation

A handy little primer. From The seven deadly sins of statistical misinterpretation, and how to avoid them by Winnifred Louis and Cassandra Chapman.

Indeed. The seven sins:
1. Assuming small differences are meaningful

2. Equating statistical significance with real-world significance

3. Neglecting to look at extremes

4. Trusting coincidence

5. Getting causation backwards

6. Forgetting to consider outside causes

7. Deceptive graphs
Read the whole thing for a good elaboration.

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