Guides & articles

20 guides

• How random number generation works Learn how EntropyDraw binds locked rules to a future public drand beacon with SHA-256 and rejection sampling for auditable draws.
• True random number generator: real entropy vs pseudorandom What is a true random number generator? How public entropy anchors and a future drand beacon make online draws auditable.
• Provably fair raffle: proof you can verify What is a provably fair raffle? Lock rules, publish a list commit, wait for a public beacon, then verify on /d/{id}.
• What is entropy? Entropy measures unpredictability. Learn what entropy means for random numbers, cryptography and fair online draws.
• True RNG vs pseudo RNG Compare true random number generators (TRNG) and pseudorandom generators (PRNG). When each is fair for draws and raffles.
• How lottery and raffle fraud happens Common ways online raffles and draws are manipulated — and how cryptographic transparency reduces fraud risk.
• How to verify a random draw Step-by-step: verify an EntropyDraw v2 result using /d/{id}, the public drand round, SHA-256 hashes and rejection sampling.
• Random seed explained What a random seed is, why secret seeds undermine fair draws, and how EntropyDraw uses a public cryptographic seed.
• Random number algorithms From linear congruential generators to SHA-256 and rejection sampling — algorithms behind random numbers and fair draws.
• Cryptographic randomness How cryptographic randomness and SHA-256 create unpredictable yet verifiable draw results.
• How we ensure transparency How EntropyDraw publishes entropy, hashes and parameters so every draw can be audited independently.
• Randomness in science How science uses randomness in experiments, sampling and simulations — and why auditability still matters.
• Randomness in cryptography Why cryptography needs high-quality randomness for keys, nonces and challenges — and how hashing relates to draws.
• Randomness in AI How AI systems use randomness for training and sampling — and why transparent randomness still matters for human decisions.
• Random picker Use an auditable random picker for teams, giveaways and decisions. Lock the name list and share cryptographic proof.
• Dice roller Roll dice with cryptographic proof. Map EntropyDraw ranges to d6, d20 and custom dice for games and decisions.
• Coin flip Fair coin flip using an auditable 1–2 draw. Share SHA-256 proof with anyone.
• Name picker Pick a name fairly from a locked list. Publish the list commit, then verify the winner on /d/{id}.
• Winner picker Pick giveaway winners from a locked name list. SHA-256 list commit and a shareable /d/{id} proof.
• Shuffle list How to shuffle or order a list using auditable random numbers instead of opaque app buttons.