Randomness in science

Science relies on randomness for sampling, Monte Carlo methods, clinical trial assignment and noise models. Good science also needs reproducibility: others should understand how random choices were made.

Reproducible randomness

Researchers often publish seeds for simulations so peers can regenerate results. Public draws follow a similar spirit: publish enough state to recompute outcomes.

Bridge to EntropyDraw

Our model is not a lab TRNG device, but it shares the scientific habit of documenting methods and inputs so third parties can verify claims.