RNG
A random number generator supplies values mapped to outcomes by game logic, separately from payout rules.
Concept and usage
A random number generator supplies values mapped to outcomes by game logic, separately from payout rules.[1][2]
In context
RNG means random number generator: a system producing numbers or random bits that software may map to outcomes. Applications can have different requirements for entropy, unpredictability, statistical distribution and security testing.[1][2]
Common confusion
Statistical tests examine selected properties of output samples. They do not, by themselves, prove that a whole product is fair, secure or unbiased. Algorithm choice, seed sources, implementation, version control and the scope of independent testing also matter.[1][2]
Example
A sample that passes statistical tests supports only a limited conclusion about those tests and that sample. It does not predict the next output or establish that every game on a service uses the same mechanism.[1][2]
Keep exploring
Glossary
Sources and scope
- SP 800-22 Rev. 1: A Statistical Test Suite for Random and Pseudorandom Number GeneratorsNational Institute of Standards and TechnologyChecked:
Defines the scope of statistical tests; passing tests alone does not prove an entire system secure or fair.
- Testing strategy for compliance with remote gambling and software technical standardsUK Gambling CommissionChecked:
Describes game testing and audit requirements in a specific UK regulatory framework.