Sampling Bias
2 min read
Sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others.
Statistical Biases
/ Ascertainment bias
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Explore 7 cognitive biases related to this topic.
2 min read
Sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others.
Statistical Biases
/ Ascertainment bias
2 min read
Selection bias is the bias introduced by the selection of individuals, groups or data for analysis in such a way that proper randomization is not achieved.
Statistical Biases
/ Sampling bias (related)
2 min read
Survivorship bias is the logical error of concentrating on the people or things that made it past some selection process and overlooking those that did not, typically because of their lack of visibility.
Statistical Biases
/ Survival bias
2 min read
The Texas sharpshooter fallacy is an informal fallacy which is committed when differences in data are ignored, but similarities are overemphasized. From this reasoning, a false conclusion is inferred.
Statistical Biases
/ Clustering illusion (related)
2 min read
The clustering illusion is the tendency to erroneously consider the inevitable 'streaks' or 'clusters' arising in small samples from random distributions to be non-random.
Statistical Biases
/ Hot hand fallacy (related)
12 min read
The base rate fallacy is the tendency to ignore or underweight general statistical information (base rates) in favor of vivid or specific case details when judging probability.
Cognitive Biases / Bayesian neglect
/ Base Rate Neglect
12 min read
Regression to the mean is the statistical tendency for extreme performances or measurements to be followed by more average ones, often misinterpreted as real change or the effect of interventions.
Cognitive Biases / Statistical misinterpretation
/ Regression Toward the Mean