[itishappy]

Measurement noise, other experimental errors, small sample size, cherry picking. It's worse than no data because you can draw incorrect conclusions.

Have a really dumb example:

All of the developers I work with are short, therefore all developers must be short, and we could save time by filtering job applicants by height.

(Note: I work with only one developer. He's great!)