Nielsen's claim that ``Five Users are Enough''  is based on a statistical formula  that makes unwarranted assumptions about individual differences in problem discovery, combined with optimistic setting of values for a key variable. We present the initial Landauer-Nielsen formula and recent evidence that it can fail spectacularly to calculate the required number of test users for a realistic web-based test. We explain these recent results by examining the assumptions behind the formula. We then re-examine some of our own data, and find that, while the Landauer-Nielsen formula does hold, this is only the case for simple problem counts. An analysis of problem frequency and severity indicates that highly misleading results could have resulted when the number of required users is almost doubled.
Lastly, we identify structure and components of a more realistic approach to estimating test user requirements.
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