Evolutionary Epistemology
Updated 2026-08-11
INTRODUCTION
English translation pending.
CORE DEFINITION
Evolutionary epistemology is the view that the growth of knowledge follows the same logic as biological evolution: new ideas appear as variations, face selection pressure from reality, and survive or disappear accordingly. The term was named and systematised by Donald T. Campbell in his 1974 essay Evolutionary Epistemology, building on Karl Popper's account of science as conjecture and refutation and on Konrad Lorenz's biological work. Its core claim is that adaptive fit can emerge without a designer, because selection alone retains what works. The key qualification is that survival is evidence of fit to a particular environment rather than proof of truth.
SCAFFOLDING EFFECT
Reduce cognitive load
- Hypothesis pool: Generate several competing explanations instead of defending the first one you produce. - Selection pressure: Name the evidence that would eliminate each explanation before you gather it. - Survivor tracking: Keep a record of how often the surviving idea's predictions fail.
Anchor fast decisions
Variation is generated without foresight, but survival is decided by the environment, which is why adaptation appears without a designer. Viewing ideas as variations and reality's feedback as selection pressure explains why practices retained through long competition tend to approximate what works, and why losers usually fail on prediction rather than on argument.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
account_treeGenealogyexpand_more
menu_bookReferencesexpand_more
Source support: Explicit
- mungermodels.comhttps://mungermodels.com/models/evolutionary-epistemologyverified
PRIVATE NOTES · Only visible to you
SAVED Q&A
ENTRY Q&A · Private saving available
Ask with a clear boundary
thinkingmodels answers from published entry context only.
Your question is sent to thinkingmodels. The answer uses public entry context only.
RELATED MODELS