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The statsig police

Posted By: Maik Stiebler
Date: Monday, 19 October 2009, at 4:21 p.m.

In Response To: The statsig police (Timothy Chow)

If the equity difference is small, say 1 millipoint, then following my prescription, one would stop the rollout when the j.s.d. was 1 millipoint. One wouldn't bother continuing until the j.s.d. dropped to 1/2.33 millipoints.

Sure. But with the current method, one usually wouldn't bother either, because one is supposed to do a maximum of 1296 trials.

So in some cases you would be doing less work than the current method, rather than more.

I never wrote anything to the contrary.

you can also apply the square-root threshold when deciding how to allocate resources during the second pass.

Our disagreement seems to lie in the question what our goals should be when allocating resources. Let's consider the following example: We only have two play decisions with two play options each. After spending a total of 2 days of computational resources, one day and 1296 trials on each decision, we learn that for the first decision the equity difference is 100 millipoints, jsd 20 millipoints (I'm aware that's not possible with the current method), while for the second decision, the equity difference is 10 millipoints, jsd also 20 millipoints. We decide that we are not happy with the jjsd of sqrt(2)*20 millipoints, so we decide to spend more computational resources totalling one day. How would you spend it?

With a square-root threshold, the size of the uncertainty depends only on the size of the final error total, not on how many errors were made or how big they were

Yes, that's cute.

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