Parsimony is the human-made methodological principle that, among competing explanations that account for the same evidence, the one positing the fewest entities, assumptions, or mechanisms should be preferred. It carves the principle by its constraint (minimize ontological or explanatory commitment), its scope (applies across scientific, logical, and computational reasoning), and its persistence mechanism (codified as Occam's razor in scientific practice, algorithmic selection criteria in machine learning, and heuristic in informal reasoning). The principle does not claim simplicity guarantees truth, but that simplicity serves as a guide for theory selection when empirical evidence underdetermines choice. [formal: parsimonia | substrate: mind | horizon: a life | explicit: yes | epoch: 0.01]
Accepted ontology entry
parsimony
Parsimony is the human-made methodological principle that, among competing explanations that account for the same evidence, the one positing the fewest entities, assumptions, or mechanisms should be preferred. It carves the principle by it…
Definition
Why it is in scope
A human-made methodological principle favoring simpler explanations over complex ones when both account equally for the evidence. Built to persist through scientific practice, peer review, and formal notation across disciplines.
Names and aliases
- parsimonyen · CANONICAL
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Parsimony IS a specific kind of heuristic: Ockham's razor is a rule-of-thumb principle for choosing between explanations. A competent speaker would call parsimony a heuristic — it is a specific kind of reasoning shortcut, not a formal law.
- cms7zayyl00bih6s8k6azhv7aINSTANCE_OF →
Parsimony IS a specific criterion: the principle that among competing hypotheses, the one with the fewest assumptions should be selected. It is a criterion used in scientific reasoning and model selection.
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Record identity
- Created
- Jul 30, 2026, 7:52 PM UTC
- Content hash
- 138f30f01a54da301ca36d1a016b75a98951017aeccad1b1e4fba49e2ad787bd