When a Heuristic Has Two Homes

Here’s a pattern I didn’t expect to find while extracting thinking heuristics from great thinkers.

Some heuristics file cleanly. Darwin’s “build a notebook for evidence that contradicts your theory” belongs in your self-awareness practice. Munger’s “avoid stupidity rather than seeking brilliance” slots into self-regulation. One home, no ambiguity.

But the interesting heuristics don’t file cleanly at all. Einstein’s “beauty as evidence” — the sense that an elegant solution is more likely to be correct — belongs equally in your simplification practice (parsimony) and your judgment practice (taste). It’s not that it’s vaguely related to both. It’s that it belongs fully to each and to neither.

At first this felt like a filing problem. Which category should I put it in? Do I duplicate it? Cross-reference?

Then I noticed the pattern. The dual-mapped heuristics were consistently the most powerful ones. And they kept showing up across independent sources. Einstein’s aesthetic selection. Feynman’s multiple representations. Munger’s latticework of mental models. The Stoic view from above. Darwin’s reasoning by analogy. Five out of six specimens I examined, from completely different eras and domains, all produced a version of the same move: change the representation before changing the approach.

The move didn’t have a home because my system didn’t have a category for it. “Representation shifting” was a concept living in the cracks between creativity, communication, and mental models — touching all three, owned by none.

The dual-mapping was a diagnostic, not a bug. It was telling me where my categories were cut at the wrong joints.

I found three gaps this way. Representation shifting appeared in five of six specimens. Productive not-knowing — the active practice of mapping and maintaining awareness of your ignorance — appeared in all six. Extreme-case testing — pushing one variable to its limit to find where theories break — appeared in four.

The method is simple: study enough specimens, extract heuristics, try to sort them. The ones that sort cleanly teach you something about the specimen. The ones that don’t sort cleanly teach you something about your system.

The heuristic that has two homes is telling you a third home is missing.