Fast random number generators are crucial for statistical sampling and simulations, but true random generators are too slow. Pseudorandom number generators are often used instead, but choosing a good one is tricky. Most fail statistical tests, including default ones in programming languages. Testing generators is essential to know their limitations. However, a study found that the popular NIST SP 800-22 test suite is not good enough for this purpose.