Calculate HS churn effect using historical metrics data
From parent ticket #13209 (moved) in order to break it down a bit.
Lets look at the historical metrics data involving relay churn (easy to see in the consensus) and relay restarts (where uptime resets) and calculate what the answer ought to be. And if our prediction is much different from the reality, why?
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