Dismissing a correlation pattern stores `dismissedEvidenceHash` alongside
the effect size and sample size, and the gate that decides whether to raise
the finding again read the two numbers and never the hash. The hash is the
only part of the snapshot that covers the whole evidence tuple, and a
snapshot that carries it without the two numbers — what a partial restore
leaves behind — could not be released by anything: the gate had no value to
compare and fell through to `false` on every future run.
Move the decision into `shouldReleaseDismissal`, which reads the hash twice
and for two different reasons. Evidence byte-identical to what was
dismissed settles immediately, without evaluating a threshold. Evidence
whose hash no longer matches goes to the existing thresholds when the
numbers are there, and releases the dismissal when they are not, because a
changed hash is still proof the evidence moved.
The thresholds themselves are untouched. A dismissal still has to survive
ordinary sampling noise, which is what they are for; a hash that changes on
every recomputation would otherwise undo a deliberate dismissal on the next
nightly run.
Marc-André Bombeck