Why does schema redundancy fail?

The most common reason schema redundancy fails: Collapsing schemas too aggressively. You see a surface similarity between two ideas and merge them prematurely, losing the nuance each carried in its original domain. 'Feedback loops' in engineering and 'codependency' in relationships both involve reciprocal influence — but merging them erases critical differences in agency, power dynamics, and intentionality. Redundancy detection must be followed by careful verification, not immediate deletion.

The fix: Choose a domain you know well — management, cooking, fitness, software, parenting. Write down 8-10 principles or rules you follow in that domain, one per line. Now pick a second domain you know well and do the same. Place the two lists side by side. Draw lines between any principles that are structurally identical even though the vocabulary is different. Most people find 3-5 matches. Each match is a redundancy — two schemas doing the same cognitive work under different names.

The underlying principle is straightforward: When you connect your schemas you discover that many are variations of the same underlying idea.