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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.
Lotto · 7/40 + 2/40 era · since Jan 2016 · · 7 / 1–40
Exact model
| Exactly this many | Probability |
|---|---|
| 0 | 6.35093% |
| 1 | 24.24902% |
| 2 | 34.79207% |
| 3 | 24.16116% |
| 4 | 8.69802% |
| 5 | 1.60579% |
| 6 | 0.13877% |
| 7 | 0.00425% |
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.