Good question. SHISHUA is a strong design, suitable for many use-cases. But the decision of which PRNG is right for you depends on platform, context, comfort,

Good question. SHISHUA is a strong design, suitable for many use-cases. But the decision of which PRNG is right for you depends on platform, context, comfort, and ease of access. If you are making a simple video game, it might be fine to just use your standard library; or to write one of the simple ones that you memorized and that don’t have too terrible an output. If your video game has more severe stakes, if it is the backbone of a virtual economy in a massively multiplayer game where servers feed on a large amount of randomness that needs high quality to ensure players don’t find flaws and abuse the system for their own gain, maybe SHISHUA is right for you. If you are targeting a platform that does not support 64-bit computation, SHISHUA can’t do it well, and other PRNGs such as sfc32 can be good there. If you are working on machine learning that feeds on heaps of randomness over the course of months of computation, and that need quality to ensure an unbiased, even learning, SHISHUA can be right for you. There was a neat article recently that contrasted a large number of PRNGs for use on video games, in particular on consoles: https://rhet.dev/wheel/rng-battle-royale-47-prngs-9-consoles/ https://rhet.dev/wheel/rng-battle-royale-47-prngs-9-consoles... It is before the publication of SHISHUA, but the insights there are interesting.