Small-bias sample space

In probability theory and statistics, a **small-bias sample space** refers to a sampling space where the probability distribution over the sample outcomes has a small bias, meaning that the outcomes are not perfectly uniform, but the deviations from uniformity are minimal. This concept is often discussed in the context of randomized algorithms, statistical sampling, or Monte Carlo methods.