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.