What does it mean that decision types recur predictably?

Most decisions you face are variations of types you have encountered before.

Example: You are deciding whether to accept a new project at work. It feels unique — different client, different scope, different timeline. But strip away the surface details and you recognize the underlying type: a resource allocation decision under uncertainty. You have made this type of decision dozens of times. The variables are the same: available capacity, opportunity cost, estimated return, confidence in the estimate, and reversibility. You do not need to reason from first principles. You need to recognize the type and apply the framework you have already built for resource allocation decisions. The experienced manager does this automatically. The junior employee treats every project decision as novel and exhausts themselves re-deriving the same logic each time.

Try this: Over the next five days, keep a decision log. Every time you face a decision — large or small — write down what it is, then classify it by type. Do not invent categories in advance. Let them emerge from the data. By the end of five days, count how many distinct types you have logged and how many decisions fell into each type. Most people discover that 80-90% of their decisions cluster into fewer than ten recurring types. For your top three most frequent types, write a one-sentence description of the pattern: what varies between instances, and what stays the same. This is the beginning of your decision type inventory — the raw material for building dedicated frameworks in L-0443.