Super useful link. Thank you!

Using only 32bit fast_loop and mix (for 64bits of state) passes PractRand up to 256GB with only one unusual. That's about a 90 bit state LCG equivalent?

I did have to alter the output to be "(GR * mix) + fast_loop" and change the rotation constants to be 12 and 5.

Fun fact, you can extend this logic to measure the upper limit for how discriminating your RNG's test is, by shuffling a 2^n long vector with a CSRPNG and testing that until failure the same way. When I tried this ~8y ago, I believe these tested about 2 bits better on PractRand than PCG for 32 bit outputs. Sadly it's not really plausible to run this algorithm for 64 bit outputs.

The main thing this knowledge is worth when designing RNGs is that it tells you how reasonable it is to 'lose' N bits. Eg. if you're 2 bits worse than PCG, you're about twice as much worse than ideal.