Model: resulting - decision quality vs decision outcome
June 30th, 2022
decision quality != decision outcome
resulting happens when you mix those two
Is driving a good or bad decision?
You're drunk, you drive, you have an accident -> bad
You're drunk, you drive, you get home safely -> good
You're sober, you drive, you have an accident -> bad
You're sober, you drive, you get home safely -> good
If you answered bad / good as above, you were resulting.
You conflated decision outcome with decision quality
Deciding to drive when you're drunk is a bad decision, regardless of the outcome.
The outcome of a situation does not impact the decision quality.
Why is this important?
Because you want to learn from good/bad decisions.
But you don't want to let the outcomes misdirect your learning!
Just because you were lucky you don't want that behaviour to be reinforced.
This post was referenced in: