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Reading the draws and working out what chance predicts.
LotteryOracle · F-47
Combine primes, squares, Fibonacci numbers and sums. Count how much of chance your recipe describes.
Mega-Sena · 6/60 era · since Mar 1996 · · 6 / 1–60
Exact model
| Exactly this many | Probability |
|---|---|
| 0 | 12.17736% |
| 1 | 32.68658% |
| 2 | 33.5247% |
| 3 | 16.76235% |
| 4 | 4.2928% |
| 5 | 0.53149% |
| 6 | 0.02472% |
Categories can overlap. Their joint counts use four disjoint groups. Adding sums or last-digit rules enumerates at most 250,000 combinations, then uses 60,000 seeded draws. A zero sampled count still has uncertainty. These are model probabilities, not evidence of bias or predictions.
Categories can overlap. Their joint counts use four disjoint groups. Adding sums or last-digit rules enumerates at most 250,000 combinations, then uses 60,000 seeded draws. A zero sampled count still has uncertainty. These are model probabilities, not evidence of bias or predictions.
P(R=r) = C(M,r) C(N−M,k−r) / C(N,k)
Prime, square and Fibonacci labels describe numbers; they do not make a fair ball more likely. Build a recipe before looking at a draw, then ask how many other combinations fit it.