🧪 Is Korea Lotto 6/45 really random?

We run all 1,246 Korea Lotto 6/45 draws since 07.12.2002 through 10 statistical tests. The question: do the draws behave the way pure chance predicts, or are there patterns, “hot” numbers, seasonal effects?

No anomaly: 0 of 10 tests fall below the 5% threshold – pure chance would produce 0.50. After correcting for multiple testing (Holm), no finding remains.

TestFindingp-valuep (Holm)
Uniform numbers
Is every number drawn equally often?
χ² = 32.7 with 44 df; largest deviation: 9 (z = -2.43).
normal0.8941.000
Uniform Bonus number
Are all Bonus number drawn equally often?
1,246 draws; χ² = 38.7 with 44 df; largest deviation: 29 (z = -1.86).
normal0.6971.000
Seasonal numbers
Do some numbers come up more often in certain months?
number × month, χ² = 494.7 with 528 df; most extreme cell: 42 in January (z = 3.68).
normal0.8481.000
Stability over time
Have the frequencies shifted over the years?
4 periods, χ² = 179.6 with 176 df; largest deviation: 20 in period 2 (z = 3.06).
normal0.4111.000
Sum of numbers
Do the sums follow the exact distribution?
mean sum 138.28 (theoretical 138.00); χ² = 36.1 with 33 df.
normal0.3261.000
Even/odd
Is the mix of even and odd numbers right?
χ² = 7.3 with 6 df.
normal0.2931.000
Consecutive numbers
Do pairs like 12–13 appear as often as expected?
51.8% of draws contain consecutive numbers (theoretical 52.9%).
normal0.4331.000
Repeats from previous draw
Does a draw depend on the previous one?
on average 0.83 numbers of the previous draw come up again (theoretical 0.80).
normal0.2901.000
Number pairs
Do certain pairs come up together too often?
most frequent pair 11 + 21: 34 times (expected 18.9); spread of all pairs compared with 100 random series.
normal0.6141.000
Gaps between hits
Are a number's absences as long as pure chance predicts?
gap distribution compared with 100 simulated random series.
normal0.3371.000

The latest draw

Draw of 17.10.2026 (16 22 23 24 27 28) – rarest feature: 3 consecutive numbers; this happens about once every 18 draws.

Almost every draw has some “rare” feature if you look at enough features. That is no sign of manipulation.

Strategies on trial: do frequent or overdue numbers predict anything?

For every draw since 07.12.2002, the test picks numbers using only the earlier draws (last N draws) and counts how many come up in the next draw. The benchmark is what a random selection of the same size hits on average.

Popular strategies

StrategySelectionHits per drawexpectedratiop-valuep (Holm)
…

Test your own mix

N1/N2: frequency within the last N draws. N3/N4: current gap (draws since last hit, over the whole history). Overlaps count once.

Important: every combination has the same chance in every draw. No strategy can improve the number of hits; test enough variants and you will still find some with p < 5% – that is chance (see above, multiple testing).

How to read the table

The p-value is the probability of a result at least this extreme under pure chance. Below 5%, a single test is usually called “significant”. Because 10 tests run at once, about 0.50 such hits are expected by chance alone; the Holm correction accounts for that. Only a result still below 5% after correction would be a serious hint.

Method

Based on the official draws of the current 6/45 format (since 07.12.2002). Frequency tests: chi-square corrected for drawing without replacement. Pairs and gaps: compared with 100 simulated random series of the same length (Monte Carlo, two-sided). Everything is recalculated after every draw.

All lotteries compared › Frequency › Numbers by date ›

Rules & FAQ

Is Korea Lotto 6/45 rigged?

The data show no sign of it. 0 of 10 tests fall below 5% (0.50 expected by pure chance), 0 after correcting for multiple testing. The draws behave like those of a fair drawing machine.

Can these tests predict winning numbers?

No. Precisely because the draws pass the tests, there is no exploitable pattern: every combination has the same chance in every draw.

Why is a test sometimes “unusual”?

At the 5% level, one test in twenty fires by pure chance on average. That is why we also show the Holm-corrected p-value, which accounts for the number of tests.

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