Not All Random Numbers Are Created Equal
Humanity's quest for fairness evolved from ancient physical dice and drawing lots to early computing. In 1946, John von Neumann introduced the first Pseudo-Random Number Generator (PRNG), followed by the Ferranti Mark 1 in 1951.Yet, not all random numbers are created equal.Most online generators today still use those predictably flawed mathematical formulas. We do things differently. By utilizing cryptographic APIs like crypto.getRandomValues(), we draw entropy directly from your hardware—eliminating hidden patterns and ensuring every result is truly, provably random.
| Feature | RNG Generator | Typical Generators |
|---|---|---|
| Randomness Source | Cryptographic (hardware entropy) | Pseudo-random (math formula) |
| Algorithm | crypto.getRandomValues() | Math.random() |
| Predictability | Unpredictable | Reproducible with seed |
| Uniformity | Perfect (rejection sampling) | Modulo bias possible |
| Suitable for Draws & Raffles | Yes — provably fair | Not recommended |
| Privacy | 100% local, no server | Varies |
Our cryptographic approach makes every result suitable for lottery draws, classroom selections, statistical sampling, and game mechanics.