The RNG (Random Number Generator) in this poker script is managed through a globally accepted well-known public domain PRNG algorithm called Fisher-Yates algorithm, also known as the Knuth Shuffle, which is used to shuffle the deck of cards. This algorithm ensures that the order of the cards is randomized and unpredictable, which is essential for creating a fair and unbiased game. This poker software system uses a JavaScript library built on Python's PRNG (Pseudo-Random Number Generator) module "random". This library generates random numbers based on a seed value, which is used to initialize the generator. By using a seed value, the same sequence of random numbers can be generated every time, which is important for replicating game results and ensuring fairness. The core of the RNG in many poker software systems follows the WELL-1024a PRNG algorithm, which is a cryptographically secure PRNG that is highly regarded for its randomness and unpredictability. This algorithm generates random numbers based on a large pool of internal state, which is updated after each random number is generated. This ensures that each number generated is truly random and unbiased and that the sequence of numbers generated cannot be predicted by an outside observer. Ultimately, it is ensured to collect the RNG certification for your software from reputable RNG certification labs such as eCOGRA (eCommerce Online Gaming Regulation and Assurance), iTech Labs, GLI (Gaming Laboratories International), and BMM Test labs.