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Pretty good heuristic version of the central limit theorem: In any random process, if you measure N counts of something, then you should consider that the true number (i.e., the one that perfectly represents the mean) is within the range N +/- sqrt{N}.
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the number of 9's for your desired confidence interval is satisfied at ~100, unless there are systematic errors or nonstandard distributions (that is my guess)