Disjunction Fallacy
Updated 2026-08-11
INTRODUCTION
English translation pending.
CORE DEFINITION
The disjunction fallacy, studied in probability judgment research, concerns errors in estimating the chance that at least one of several events occurs. Its core claim is that people underestimate how failure probability compounds across many components: with a one percent failure rate per part, a system of one hundred parts fails about sixty-three percent of the time. The key qualification is that overlapping events must not be double-counted when adding probabilities.
SCAFFOLDING EFFECT
Reduce cognitive load
- Count the links: multiply the success rates along a long chain instead of admiring each step. - Shorten the chain: remove steps or handoffs so fewer things have to go right. - Add parallel paths: build redundancy so one failure does not end the whole sequence.
Anchor fast decisions
Failure probability compounds because a chain succeeds only if every step succeeds, so the overall rate is the product of the individual rates and falls faster than any single one. People instead evaluate each step separately and judge the sequence by its typical step, which hides the accumulation. Conversely, when several events can each cause an outcome, their probabilities overlap, and adding them naively overstates the total.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
account_treeGenealogyexpand_more
menu_bookReferencesexpand_more
Source support: Explicit
- pubmed.ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/17488871/verified
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