Selection bias is caused by preferential of units from the samples and represents a major obostacle to valid causal and statistical inferences;it Cannot be removed by randomized experiments and can rarely be detected in either experimental or observational studies.In this paper,we provide complete graphical and algorithmic conditions for recovering conditional probabilities from selection biased.