Bob wrote: "Whether or not you have made a good decision or a bad decision should be determined at the time you make the decision — NOT sometime down the road."
Grading (good or bad) a decision before the event is classical or a priori probability. Also grading sometime down the road or after the event is Bayesian probability. I would recommend the Bayesian approach, but hey, to each their own. Bayesian is superior when there are "unknown unknowns", and, lets keep it real here, there are always "unknown unknowns".
Bayesian probability - Wikipedia
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Posted by: nightoftheiguana2000@yahoo.com
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