Yeah, absolutely. You get the same "feature" from Counting Blooms - i.e. if an insertion would overflow any of the counters, the filter can knowingly reject the

Yeah, absolutely. You get the same "feature" from Counting Blooms - i.e. if an insertion would overflow any of the counters, the filter can knowingly reject the insertion. This is both a feature and a limitation. In our use case, our filter grows predictably, and every few months a rejected insertion triggers a resize/rebuild from source data. Because we could tolerate a full rebuild, we chose for now not to implement the technique of growing the filter by adding successively larger filter segments with lower fpp guarantees, though that is an option.