Random without replacement is not random: Caveat emptor
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Updated: Mar 29, 2026

An Unbiased Approach of Sampling TEM Sections in Neuroscience
Published on: April 13, 2019
1University of California, Berkeley, California 94720, USA. cblais@berkeley.edu
Abstract:
The vast majority of psychology labs rely on prepackaged software applications (e.g., E-Prime) for the programming of experiments. These programs are often used for stimulus selection, and many use a selection method referred to as random without replacement. We demonstrate how random without replacement deviates from random selection, and we detail selection biases that result. We also demonstrate, in a simple experiment, how these selection biases, if left unchecked, can influence behavior. Recommendations for reducing the impact of these biases on performance when random without replacement is used are discussed.
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