Check for false analogies: does the structural mapping actually hold?
Test whether a compelling analogy survives scrutiny of its relational structure.
Why it works
False analogies arise when surface similarity is high but relational structure differs. They are common in arguments and in one’s own thinking because surface similarity produces the same feeling of "this makes sense" as genuine structural similarity. Gentner’s work provides the test: list the key relationships in the base domain and check, one by one, whether they hold in the target. If several do not hold, the analogy is false regardless of how intuitive it feels.
How to do it
- When an analogy feels compelling, explicitly list the three most important causal relationships in the base domain.
- Check each one in the target: does this relationship hold there too?
- If two or three do not hold, reject or heavily qualify the analogy before reasoning from it.
- If the analogy is in an argument someone made to you, ask them to specify which relationships they are claiming are shared.
Evidence
False analogy is a catalogued informal fallacy in logic; Gentner’s structure-mapping provides a testable criterion for distinguishing genuine structural analogy from surface-similarity-driven pseudo-analogy. (mechanistic)
Applying the structural test requires enough knowledge of both domains to accurately assess whether relationships hold — incomplete knowledge of either domain undermines the check.
Sources
- Gentner (1983), Cognitive Science — structure-mapping as a criterion for analogy validity
Common mistake
Rejecting an unfamiliar analogy on the grounds that the domains "seem too different" (surface dissimilarity) rather than testing the relational structure — distant analogies are often the most illuminating.
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More practices for Analogical Reasoning
- Map the relational structure, not the surface features
Ask what relationships are shared between domains, not just what objects look similar.
- Use multiple analogies for the same problem
Draw on at least two different analogies for a new problem and see where they agree and diverge.
- Use progressive alignment: start with similar cases and move to more distant ones
Learn relational structure by comparing easy cases before applying the same structure to harder ones.
- Transfer solutions across domains by mapping the structure of the problem
When stuck, search for problems in other domains with the same relational structure.
- Build a library of cases and reason from them
Accumulate a diverse set of cases with known outcomes, and retrieve structurally similar ones when facing a new problem.