These are excellent but I think #8 (statistics of small numbers) is one that, with some nuance, you can get more personal mileage out of if you're willing to tolerate being wrong some of the time.

For example, I've noticed that of the managers I've had, the good ones and bad ones are cleanly separated by one trait or property. This is a sample size of maybe 7 or smaller.

Depending on your priors, my P(Hypothesis | Data) is maybe 0.6-0.7 which is terrible from a research and scientific point of view.

I'll take that level of certainty for day-to-day decision making anytime, though. Make enough of these weakly-backed hypotheses and you can avoid a lot of trouble.