Observation selection effect

Abstract

Observational selection effects arise when some property of a thing is correlated with the observer existing, leading to biased results. Different approaches to dealing with such effects include the self-sampling assumption, self-indication assumption, and full non-indexical conditioning. The article explores these approaches and discusses the use of decision theory to derive the appropriate principles for dealing with observational selection effects. – AI-generated abstract.