You may be interested in this work going in the opposite direction, holding the bias constant and extracting the most ranges from a constant amount of randomnes

You may be interested in this work going in the opposite direction, holding the bias constant and extracting the most ranges from a constant amount of randomness: https://github.com/sipa/writeups/tree/main/uniform-range-extraction https://github.com/sipa/writeups/tree/main/uniform-range-ext... This work is interesting because generating random bits via strong generators is typically much more expensive than extraction-- so it can be very useful in cases where a number of small random values are needed in a tight loop such as for some kinds of hash table and generating permutations.