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by perihelions
655 days ago
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I think you can estimate the threshold by just counting the ratio of times you flag something and it immediately dies. You would wait a while to see which items die or do not die, and discard the subset which never die, and consider only the subset of items that transitioned to [flagged][dead]. If the [flagged] logic is simply "flags >= N", then of the subset of samples that are flag-killed with your involvement, you will be final flag in 1 of N of those. The null hypothesis is "this experiment converges to a reciprocal integer". |
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I guess this might give you a pretty nice upper estimate though. Unless N is very high / very few users use the feature, and you are frequently much later to the scene as the average user of the feature. Then N may be underestimated.