Why Embracing 'Unknown' States Leads to Better Code and Clearer Thinking

A software developer draws parallels between system design and personal psychology, arguing that tolerating uncertainty is more honest and effective than forcing premature conclusions. In a payment settlement engine they built, an explicit UNKNOWN state handles ambiguous outcomes — such as gateway failures or database deadlocks — rather than retrying until a false yes or no is produced. The same logic applies to concurrent transaction handling, where allowing two requests to proceed and letting a database constraint resolve the conflict outperforms upfront locking that causes deadlocks. The developer extends this principle to self-reflection, treating beliefs about their own anxiety as hypotheses to be tested rather than settled truths. The core argument is that a slow, correct answer is more valuable than a fast, manufactured certainty — in both code and life.