Apr 8, 2025

As a result both filters (bloom and sieve) are performing better. However sieve has improved disproportionately. This is likely because its performance is strongly tied to the Poisson distribution, which has improved slightly. I'm still running tests to see where the optimal configs come out. But overall I've been able to drop false positives on the 2.2LF table from around 10M to around 2.5M. That's pretty close to what it was previously with the 1.5LF table, which is a big improvement.