All models are wrong
"All models are wrong" is a common aphorism in statistics; it is often expanded as "All models are wrong, but some are useful". It is usually considered to be applicable to not only statistical models, but to scientific models generally. The aphorism recognizes that statistical or scientific models always fall short of the complexities of reality but can still be of use. The aphorism is generally attributed to the statistician George Box, although the underlying concept predates Box's writings.
known for
Akaike information criterionBonini's paradoxEmanuel DermanException that proves the ruleFoundations of statisticsGeorge E. P. BoxGoodness of fitInternal validityJudith CurryList of statistics articlesMap–territory relationMathematical modelMathematical models of social learningMaximum likelihood estimationMental modelModel-dependent realismModel selectionParametric statisticsRegression validationReification (fallacy)Scientific modellingStatistical modelStatistical model specificationStatistical model validationValidity (statistics)Valuation using discounted cash flows
Link from a Wikipage to another Wikipage
primaryTopic
All models are wrong
"All models are wrong" is a common aphorism in statistics; it is often expanded as "All models are wrong, but some are useful". It is usually considered to be applicable to not only statistical models, but to scientific models generally. The aphorism recognizes that statistical or scientific models always fall short of the complexities of reality but can still be of use. The aphorism is generally attributed to the statistician George Box, although the underlying concept predates Box's writings.
has abstract
"All models are wrong" is a co ...... ncept predates Box's writings.
@en
Link from a Wikipage to an external page
Wikipage page ID
44,732,699
page length (characters) of wiki page
Wikipage revision ID
1,003,185,818
Link from a Wikipage to another Wikipage
wikiPageUsesTemplate
hypernym
type
comment
"All models are wrong" is a co ...... ncept predates Box's writings.
@en
label
All models are wrong
@en