Pareto Principle

Pareto principle is famous 80/20 rule suggesting 80% of results come from 20% causes, underscoring an unequal distribution of inputs and outputs.

However, there are cases where reversing this might make sense in long run e.g. you have debugged the problem and found a way to fix it but you do not understand the root cause. It might still need 80% effort to understand the problem and real cause, but it results in learning that is worthwhile time investment, which would result in unequal outputs in long run.

Can you think of more examples for reverse pareto principle?