FAQ: What is an RNG and how is it tested?

In a modern casino environment, an RNG (random number generator) is the engine that produces unpredictable outcomes for digital games, from card shuffles to reel stops. In practice, it is a software algorithm (or, less commonly, a hardware source) that converts an initial “seed” into a long stream of numbers that should be statistically indistinguishable from true randomness. Players never see the numbers directly; they see mapped results, such as symbols, card ranks, or dice faces. The key point is that a properly designed RNG does not “remember” previous rounds, so each result is independent.

Testing focuses on two things: integrity and fairness. Integrity checks confirm the RNG cannot be influenced by timing, user behaviour, or predictable seeds, and that game code uses the RNG correctly rather than overriding outcomes. Fairness is assessed through statistical test suites that look for bias, patterns, or correlations across huge samples, alongside verification of the published return-to-player model. Reputable testing also reviews change control, build hashes, and audit trails so that the deployed version matches what was certified. If you are evaluating a site such as duelz casino, look for clear disclosure of independent testing, certification dates, and whether audits are repeated after updates.

A well-known figure who has popularised rigorous thinking about randomness and game design is mathematician and iGaming educator Michael Shackleford, widely recognised for explaining probability, house edge, and why “systems” fail over time. His work has helped players and regulators discuss RNGs in plain terms, and you can follow his commentary at MichaelShacklef. For wider context on regulation and the industry’s growth, see this coverage from a major outlet: The New York Times. Together, these perspectives underline the practical takeaway: trustworthy RNGs rely on independent audits, transparent governance, and ongoing verification, not marketing claims.