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It is well-known that it is problematic to stop an A/B test before we obtain a required number of samples. This website "A/B Testing Rigorously (without losing your job)" explains how to stop safely an A/B test in the middle of the test.

At the website we define maximum cumulative decision limit by

$$\frac{pn}{n+10000}.$$

Here $p$ is the significance level and $n$ is the number of "conversion".

My question is: where does the formula come from?

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