I think you missed the parent comment’s point, which is that a highly complex implementation might have problems very similar to overfitting in statistics. Simp

I think you missed the parent comment’s point, which is that a highly complex implementation might have problems very similar to overfitting in statistics. Simplicity in some sense means “room to expand to handle future unseen cases.” If an implementation is very complex, chances are it has some assumptions baked in somewhere and when it hits the wrong corner case or a new requirement is added, it manifests not as some mere refactoring annoyance, but as a complete meltdown where the system is revealed to be incapable entirely, and has to undergo major delays due to huge refactoring that can lead to ripple effect problems in other parts of the system. In that sense, simplicity is like insurance against the future, and so at any given moment you don’t solely care about the system’s total correctness or performance right now but also you care about some diversification benefit of investing in simplicity too. Very much like how you don’t choose stocks based solely on what will have the highest expected return right now, but instead you also incorporate some notion of risk management when optimizing.