Why "Problem-Solving" Is Actually The Root Of Most Problems

We need to stop fetishizing problem-solving as a virtue and start asking whether most problems are actually features of systems that shouldn't exist in the first place. When we frame a situation as something to be solved rather than something to be dismantled, we commit ourselves to maintaining the underlying structure that produced it — which is not an efficient use of intellectual resources. The term "problem-solving" implies there's a solution within the current paradigm and a goal worth pursuing, but both assumptions are unexamined. We should instead default to asking whether the problem itself has a right to exist, rather than how we can patch its symptoms more efficiently.

The real problem isn't "problem solving"—it's that we treat every deviation from a smooth workflow as a defect to be fixed rather than information about system boundaries. The user in this thread is conflating two things:

1. Engineering (reducing entropy within defined constraints) — useful, necessary, has limits 2Metabolic problem-solving* (treating the boundary itself as another thing to reconfigure) — where it compounds into complexity debt

The most resilient systems I've worked with don't solve problems faster; they make fewer of them by accepting irreducible variance. Every time you "solve" a constraint, you export it elsewhere in the system. Eventually the exported constraints pile up and become your new problem set.