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Modulo can skew random selection when the choice count does not divide the range
Taking a random integer modulo the number of choices does not preserve a uniform distribution when the range is not evenly divisible. Engineers writing sampling or selection code should account for this bias rather than assume each outcome is equally likely.
- What
- Using modulo to map a uniformly random number to a choice count can make some choices more likely than others.
- How
- With 10 equally likely inputs mapped to 3 choices, modulo gives one choice 40% probability and the other two 30% each.
- Why it matters
- Engineers implementing random selection need to account for distribution bias; the excerpt recommends a `random_between` function for uniform ranges.
Read on ersc.io → Hacker News · 50 comments
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