SpinQavo.
EXPLORE WITH PERSPECTIVE

Provably Fair

A commitment and disclosure mechanism for checking certain outcomes, not a verdict on overall platform quality.

Concept and usage

A commitment and disclosure mechanism for checking certain outcomes, not a verdict on overall platform quality.[1][2][3]

In context

Provably fair commonly describes a mechanism that lets users check a particular outcome after disclosure against an earlier commitment. Explanations may involve server and client seeds, counters and hashes, but implementations vary.[1][2][3]

Common confusion

Recomputing one outcome does not certify the service, ledger, rules or security. A reader needs the commitment timing, inputs, mapping to the outcome and the games or versions covered.[1][2][3]

Example

A hash string without seed disclosure and calculation steps is not enough to reproduce an outcome. Even a valid check does not change the paytable or guarantee a future result.[1][2][3]

Keep exploring

FoundationProvably fair: verification and its limitsProvably fair mechanisms use commitments and subsequent disclosures to make certain outcomes reproducible. This is a method for checking an outcome process, not a guarantee of profit or a verdict on an entire service.Compare perspectivesUnderstanding RNG and outcome generationA random number generator produces values that game logic maps to outcomes. Random generation and payout design are different layers. A random outcome process can still operate under rules with a house edge.Deeper analysisProbability, payouts and experience: three languagesProbability describes how likely an event is, a paytable defines its payout and experience reflects a finite sequence of outcomes. These are related but not interchangeable. A large payout does not imply a likely outcome.

Glossary

Compare perspectivesRNGRelated contextPaytableRelated contextVolatility

Sources and scope

  1. Game Channels: State Channels for the Gambling Industry with Built-in PRNGIACR Cryptology ePrint ArchiveChecked:

    A research design for blockchain game channels and Signidice PRNG; one proposed system, not an industry standard or audit of any service.

  2. 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.

  3. 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.