When random is not actually random enough
Summary
The piece demonstrates that naive modulo-based random selection biases the distribution and shows how to observe the bias when reducing a large random number to a smaller range. It advocates using distribution-aware APIs such as random_choice or weighted selections, and highlights the benefits of random_between and relative integer weights for expressing probabilities directly, with a real-world example from Antithesis.