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    RNG & Fairness — How Outcomes Are Determined

    Many players feel the game is 'rigged.' The truth is more nuanced: in most regulated games, outcomes are genuinely random and audited by independent labs — but fair randomness doesn't mean you can win. House edge is embedded in the rules and payouts, not in faking results. This page explains how it works and what you actually can verify.

    • RNG and seeds — the technical basis
    • Lab testing: BMM, eCOGRA, GLI
    • Provably Fair in crypto
    • Fair randomness ≠ a chance to win
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    How an RNG works

    A pseudo-random generator produces a sequence of numbers from an initial seed at a rate of thousands per second. The moment you click, the current number is taken and translated into a card, a roulette number, or a symbol on a slot. There's no dependency on the previous spin, and no "turn" to win.

    What the labs test

    • Distribution of outcomes across millions of simulations
    • Match between the declared RTP and the actual one
    • The generator's resistance to prediction
    • Game integrity after version updates

    Provably Fair

    Crypto platforms commonly publish a hash of the seed before the round, and the seed itself afterward — so you can verify the outcome wasn't changed. It's excellent for transparency (for example in crash games), but it doesn't change expected value.

    Fairness in poker

    In online poker, the deck is shuffled using a secured RNG, and on top of that there are layers of anti-bot detection, collusion detection, and behavior analysis. Full detail: security and fair play and network legitimacy. The key difference — even a perfectly random deck still leaves the edge with the better player, because there's no house edge.

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