Random systems often look unfair in the short term — that’s a feature of randomness, not evidence of rigging.
Mega Millions era / scope selector
Switch between the current rule set, recent windows, and broader draw history. Each tab reruns the same fairness tests on one audited sample.
Selected scope: Current 5/70 + 1 Mega Ball era. Note: To ensure statistical accuracy, these charts filter out obsolete historical data and analyze only the current 5/70 + 1 Mega Ball draws since 2017. That keeps the patterns tied to the rule set and drawing setup in use right now. Sample window: 940 draws (Oct 31, 2017 – Oct 30, 2026).
Mega Millions currently carries a fairness score of 99/100 across the active 5/70 + 1 Mega Ball audit scope, which begins in 2017. That score is descriptive audit context only; it does not make the next draw more or less predictable.
The current signal is strongest in temporal stability, which is why we separate current-scope audits from broader historical comparisons before drawing conclusions about fairness.
Key Finding
Across 940 audited draws, Mega Millions scores 99/100 on our goodness-of-fit index (χ² = 61.16 (df = 69), p = 0.7379). Conclusion: no statistically significant deviation detected in this sample.
Methodology
Chi-Square Goodness of Fit, temporal distribution, and combinatorial pattern analysis
Sample
940 officially published draws
Primary frequency test (Chi-Square)
χ² = 61.16 (df = 69), p = 0.7379
Structure / pattern test (Chi-Square)
χ² = 7.72 (df = 5), p = 0.1723
Frequency analysis
100/100 — Consistent with randomness
Pattern analysis
100/100 — Consistent with randomness
Temporal analysis
98/100 — Consistent with randomness
What this means for players: No statistically significant deviation from uniform randomness was detected in this 940-draw sample. “Hot” and “cold” numbers reflect normal finite-sample variance rather than predictive bias.
Fairness Score
99 / 100
Consistent with Randomness (No Significant Deviation)
Coverage: Oct 31, 2017 → Oct 30, 2026
Total Draws Analyzed: 940
Last Updated: November 2, 2026 ET
Executive Summary
This scope audits 940 Mega Millions draws from Current 5/70 + 1 Mega Ball era. Within this sample, no statistically significant deviation from uniform randomness was detected across the evaluated tests.
Bottom line for this scope: No statistically significant deviation detected in this sample.
Results by Dimension
1. Frequency Analysis (Number Distribution)
✅ Consistent with Randomness (100/100)
We test whether each number appears approximately as often as expected over multiple windows inside the selected scope.
Excellent Randomness
The number frequency distribution is consistent with a fair, random draw.
No significant number bias detected.
Observed vs. Expected Frequency
Contribution to Deviation
* Large contributions do not imply bias; they indicate natural variance concentration.
Most Deviant Numbers in Mega Millions (Table View)
Number
Observed Count
Expected Count
Deviation
χ² Contribution
#10
88
67.1
+20.9
6.48
#17
84
67.1
+16.9
4.23
#65
53
67.1
-14.1
2.98
#31
81
67.1
+13.9
2.86
#45
54
67.1
-13.1
2.57
* These Mega Millions numbers contributed most to the Chi-Square statistic in this scope. Historical deviation reflects finite-sample variance and does not change future draw odds.
Mega Millions Bonus Drum Top Deviations
Bonus Ball
Observed Count
Expected Count
Deviation
Bonus #5
28
39.2
-11.2
Bonus #15
28
39.2
-11.2
Bonus #22
49
39.2
+9.8
Bonus #24
49
39.2
+9.8
Bonus #8
31
39.2
-8.2
2. Pattern Analysis (Combination Structure)
✅ Consistent with Randomness (100/100)
We analyze whether combination patterns (for example even/odd, high/low, and consecutive numbers) occur at rates consistent with randomness inside the selected scope.
Excellent Randomness (No robust deviation detected)
The combination patterns are consistent with a fair, random draw.
No statistical pattern bias detected.
Mega Millions Combinatorial Pattern Tests (Table View)
Pattern Family
Chi-Square Statistic
p-Value
Largest Bucket Deviation
Even / Odd Split
χ² = 7.72 (df = 5)
0.1723
5 Even – 0 Odd: 37 obs vs. 25.2 exp
High / Low Split
χ² = 12.43 (df = 5)
0.0293
5 High – 0 Low: 17 obs vs. 29.3 exp
Decade / Tens Spread
χ² = 3.44 (df = 5)
0.6331
1 – 1 – 1 – 1 – 1: 192 obs vs. 177.1 exp
3. Temporal Analysis (Draw Timing)
✅ Consistent with Randomness (98/100)
We test whether outcomes vary meaningfully by draw timing. This checks for clustering by schedule rather than number popularity.
Temporal Pattern Flagged
Our screening system has flagged temporal irregularities for monitoring.
• Hot number persistence: Frequently drawn numbers continue to appear more often than expected.
Strategic Choice: • Monitor the pattern: This deviation is now flagged in our ongoing surveillance system.
Sun
Normal
Mon
Normal
Tue
Warning
Wed
Normal
Thu
Normal
Fri
Anomaly
Sat
Normal
Temporal Stability Check
Seasonality
Pass (100)
Distribution Drift
Pass (100)
Sudden Shifts
Pass (100)
Recency/Gaps
Pass (100)
Checks for drift, sudden statistical shifts, and gap anomalies.
Selected scope: Last 100 draws. Note: Showing only the last 100 tracked draws inside the active 5/70 + 1 Mega Ball rule set. Use this view for short-term pattern context only, not for rule-era comparisons.
Mega Millions currently carries a fairness score of 99/100 across the active 5/70 + 1 Mega Ball audit scope, which begins in 2017. That score is descriptive audit context only; it does not make the next draw more or less predictable.
The current signal is strongest in temporal stability, which is why we separate current-scope audits from broader historical comparisons before drawing conclusions about fairness.
Key Finding
Across 100 audited draws, Mega Millions scores 100/100 on our goodness-of-fit index (χ² = 55.80 (df = 69), p = 0.8743). Conclusion: no statistically significant deviation detected in this sample.
Methodology
Chi-Square Goodness of Fit, temporal distribution, and combinatorial pattern analysis
Sample
100 officially published draws
Primary frequency test (Chi-Square)
χ² = 55.80 (df = 69), p = 0.8743
Frequency analysis
100/100 — Consistent with randomness
Pattern analysis
100/100 — Consistent with randomness
Temporal analysis
100/100 — Consistent with randomness
What this means for players: No statistically significant deviation from uniform randomness was detected in this 100-draw sample. “Hot” and “cold” numbers reflect normal finite-sample variance rather than predictive bias.
Fairness Score
100 / 100
Consistent with Randomness (No Significant Deviation)
Coverage: Nov 18, 2025 → Oct 30, 2026
Total Draws Analyzed: 100
Last Updated: November 2, 2026 ET
Executive Summary
This scope audits 100 Mega Millions draws from Last 100 draws. Within this sample, no statistically significant deviation from uniform randomness was detected across the evaluated tests.
Bottom line for this scope: No statistically significant deviation detected in this sample.
Results by Dimension
1. Frequency Analysis (Number Distribution)
✅ Consistent with Randomness (100/100)
We test whether each number appears approximately as often as expected over multiple windows inside the selected scope.
Excellent Randomness
The number frequency distribution is consistent with a fair, random draw.
No significant number bias detected.
Observed vs. Expected Frequency
Contribution to Deviation
* Large contributions do not imply bias; they indicate natural variance concentration.
Most Deviant Numbers in Mega Millions (Table View)
Number
Observed Count
Expected Count
Deviation
χ² Contribution
#28
2
7.1
-5.1
3.70
#29
2
7.1
-5.1
3.70
#30
12
7.1
+4.9
3.30
#49
12
7.1
+4.9
3.30
#63
12
7.1
+4.9
3.30
* These Mega Millions numbers contributed most to the Chi-Square statistic in this scope. Historical deviation reflects finite-sample variance and does not change future draw odds.
Mega Millions Bonus Drum Top Deviations
Bonus Ball
Observed Count
Expected Count
Deviation
Bonus #12
10
4.2
+5.8
Bonus #16
8
4.2
+3.8
Bonus #13
1
4.2
-3.2
Bonus #19
1
4.2
-3.2
Bonus #9
2
4.2
-2.2
2. Pattern Analysis (Combination Structure)
✅ Consistent with Randomness (100/100)
We analyze whether combination patterns (for example even/odd, high/low, and consecutive numbers) occur at rates consistent with randomness inside the selected scope.
Excellent Randomness (No robust deviation detected)
The combination patterns are consistent with a fair, random draw.
No statistical pattern bias detected.
Mega Millions Combinatorial Pattern Tests (Table View)
Pattern Family
Chi-Square Statistic
p-Value
Largest Bucket Deviation
Last-Digit Endings
χ² = 1.76 (df = 3)
0.6237
1 – 1 – 1 – 1 – 1: 29 obs vs. 35.0 exp
3. Temporal Analysis (Draw Timing)
✅ Consistent with Randomness (100/100)
We test whether outcomes vary meaningfully by draw timing. This checks for clustering by schedule rather than number popularity.
No Temporal Bias Detected
The timing of draws appears random and fair.
Draws are evenly distributed across time, showing no signs of drift or persistence.
Sun
Normal
Mon
Normal
Tue
Normal
Wed
Normal
Thu
Normal
Fri
Normal
Sat
Normal
Temporal Stability Check
Seasonality
Pass (100)
Distribution Drift
Pass (100)
Sudden Shifts
Pass (100)
Recency/Gaps
Pass (100)
Checks for drift, sudden statistical shifts, and gap anomalies.
Selected scope: Last 250 draws. Note: Showing only the last 250 tracked draws inside the active 5/70 + 1 Mega Ball rule set. Use this view for short-term pattern context only, not for rule-era comparisons.
Mega Millions currently carries a fairness score of 99/100 across the active 5/70 + 1 Mega Ball audit scope, which begins in 2017. That score is descriptive audit context only; it does not make the next draw more or less predictable.
The current signal is strongest in temporal stability, which is why we separate current-scope audits from broader historical comparisons before drawing conclusions about fairness.
Key Finding
Across 250 audited draws, Mega Millions scores 100/100 on our goodness-of-fit index (χ² = 51.55 (df = 69), p = 0.9424). Conclusion: no statistically significant deviation detected in this sample.
Methodology
Chi-Square Goodness of Fit, temporal distribution, and combinatorial pattern analysis
Sample
250 officially published draws
Primary frequency test (Chi-Square)
χ² = 51.55 (df = 69), p = 0.9424
Structure / pattern test (Chi-Square)
χ² = 11.80 (df = 5), p = 0.0377
Frequency analysis
100/100 — Consistent with randomness
Pattern analysis
100/100 — Consistent with randomness
Temporal analysis
100/100 — Consistent with randomness
What this means for players: No statistically significant deviation from uniform randomness was detected in this 250-draw sample. “Hot” and “cold” numbers reflect normal finite-sample variance rather than predictive bias.
Fairness Score
100 / 100
Consistent with Randomness (No Significant Deviation)
Coverage: Jun 11, 2024 → Oct 30, 2026
Total Draws Analyzed: 250
Last Updated: November 2, 2026 ET
Executive Summary
This scope audits 250 Mega Millions draws from Last 250 draws. Within this sample, no statistically significant deviation from uniform randomness was detected across the evaluated tests.
Bottom line for this scope: No statistically significant deviation detected in this sample.
Results by Dimension
1. Frequency Analysis (Number Distribution)
✅ Consistent with Randomness (100/100)
We test whether each number appears approximately as often as expected over multiple windows inside the selected scope.
Excellent Randomness
The number frequency distribution is consistent with a fair, random draw.
No significant number bias detected.
Observed vs. Expected Frequency
Contribution to Deviation
* Large contributions do not imply bias; they indicate natural variance concentration.
Most Deviant Numbers in Mega Millions (Table View)
Number
Observed Count
Expected Count
Deviation
χ² Contribution
#42
26
17.9
+8.1
3.71
#49
25
17.9
+7.1
2.86
#53
11
17.9
-6.9
2.63
#56
24
17.9
+6.1
2.11
#29
12
17.9
-5.9
1.92
* These Mega Millions numbers contributed most to the Chi-Square statistic in this scope. Historical deviation reflects finite-sample variance and does not change future draw odds.
Mega Millions Bonus Drum Top Deviations
Bonus Ball
Observed Count
Expected Count
Deviation
Bonus #15
3
10.4
-7.4
Bonus #3
15
10.4
+4.6
Bonus #16
15
10.4
+4.6
Bonus #24
15
10.4
+4.6
Bonus #11
6
10.4
-4.4
2. Pattern Analysis (Combination Structure)
✅ Consistent with Randomness (100/100)
We analyze whether combination patterns (for example even/odd, high/low, and consecutive numbers) occur at rates consistent with randomness inside the selected scope.
Excellent Randomness (No robust deviation detected)
The combination patterns are consistent with a fair, random draw.
No statistical pattern bias detected.
Mega Millions Combinatorial Pattern Tests (Table View)
Pattern Family
Chi-Square Statistic
p-Value
Largest Bucket Deviation
Even / Odd Split
χ² = 11.80 (df = 5)
0.0377
5 Even – 0 Odd: 15 obs vs. 6.7 exp
High / Low Split
χ² = 5.95 (df = 5)
0.3113
2 High – 3 Low: 94 obs vs. 77.9 exp
3. Temporal Analysis (Draw Timing)
✅ Consistent with Randomness (100/100)
We test whether outcomes vary meaningfully by draw timing. This checks for clustering by schedule rather than number popularity.
No Temporal Bias Detected
The timing of draws appears random and fair.
Draws are evenly distributed across time, showing no signs of drift or persistence.
Sun
Normal
Mon
Normal
Tue
Normal
Wed
Normal
Thu
Normal
Fri
Normal
Sat
Normal
Temporal Stability Check
Seasonality
Pass (100)
Distribution Drift
Pass (100)
Sudden Shifts
Pass (100)
Recency/Gaps
Pass (100)
Checks for drift, sudden statistical shifts, and gap anomalies.
Selected scope: Legacy draws. Note: Showing legacy draws from 2017 to 2016, before the current 5/70 + 1 Mega Ball rule set took over. Use this view for historical comparison only because matrix changes can distort pattern frequency.
Mega Millions currently carries a fairness score of 99/100 across the active 5/70 + 1 Mega Ball audit scope, which begins in 2017. That score is descriptive audit context only; it does not make the next draw more or less predictable.
The current signal is strongest in temporal stability, which is why we separate current-scope audits from broader historical comparisons before drawing conclusions about fairness.
Key Finding
Across 221 audited draws, Mega Millions scores 20/100 on our goodness-of-fit index (χ² = 60.08 (df = 69), p = 0.7696). Statistical anomalies were flagged in frequency analysis, warranting further review.
Methodology
Chi-Square Goodness of Fit, temporal distribution, and combinatorial pattern analysis
Sample
221 officially published draws
Primary frequency test (Chi-Square)
χ² = 60.08 (df = 69), p = 0.7696
Structure / pattern test (Chi-Square)
χ² = 3.39 (df = 5), p = 0.6402
Frequency analysis
10/100 — Anomalies detected
Pattern analysis
100/100 — Consistent with randomness
Temporal analysis
100/100 — Consistent with randomness
What this means for players: Some statistical irregularities were detected. These may reflect mechanical variance, sample-size effects, or genuine anomalies. See the dimension-by-dimension breakdown below for detail.
Fairness Score
20 / 100
Statistical Anomalies Detected
Coverage: Sep 18, 2015 → Oct 27, 2017
Total Draws Analyzed: 221
Last Updated: November 2, 2026 ET
Executive Summary
This scope audits 221 Mega Millions draws from Legacy draws. Within this sample, the observed variation exceeds normal random noise on one or more goodness-of-fit checks and warrants closer review.
Bottom line for this scope: The selected sample contains statistical irregularities that are stronger than normal random noise.
Results by Dimension
1. Frequency Analysis (Number Distribution)
⚠️ Anomalies Detected (10/100)
We test whether each number appears approximately as often as expected over multiple windows inside the selected scope.
Significant Number Bias Detected
Statistical analysis indicates that certain numbers are appearing more or less frequently than random chance would predict.
Strategic Choice: • Follow the Trend: Consider including the over-performing numbers in your selection. • Bet on Reversion: Consider playing the under-performing numbers, anticipating they will eventually catch up.
Observed vs. Expected Frequency
Contribution to Deviation
* Large contributions do not imply bias; they indicate natural variance concentration.
Most Deviant Numbers in Mega Millions (Table View)
Number
Observed Count
Expected Count
Deviation
χ² Contribution
#51
24
15.8
+8.2
4.27
#15
8
15.8
-7.8
3.84
#22
8
15.8
-7.8
3.84
#67
8
15.8
-7.8
3.84
#31
23
15.8
+7.2
3.30
* These Mega Millions numbers contributed most to the Chi-Square statistic in this scope. Historical deviation reflects finite-sample variance and does not change future draw odds.
Mega Millions Bonus Drum Top Deviations
Bonus Ball
Observed Count
Expected Count
Deviation
Bonus #4
19
9.2
+9.8
Bonus #10
19
9.2
+9.8
Bonus #16
0
9.2
-9.2
Bonus #17
0
9.2
-9.2
Bonus #18
0
9.2
-9.2
2. Pattern Analysis (Combination Structure)
✅ Consistent with Randomness (100/100)
We analyze whether combination patterns (for example even/odd, high/low, and consecutive numbers) occur at rates consistent with randomness inside the selected scope.
Excellent Randomness (No robust deviation detected)
The combination patterns are consistent with a fair, random draw.
No statistical pattern bias detected.
Mega Millions Combinatorial Pattern Tests (Table View)
Pattern Family
Chi-Square Statistic
p-Value
Largest Bucket Deviation
Even / Odd Split
χ² = 3.39 (df = 5)
0.6402
4 Even – 1 Odd: 28 obs vs. 33.5 exp
High / Low Split
χ² = 5.87 (df = 5)
0.3195
4 High – 1 Low: 46 obs vs. 36.6 exp
3. Temporal Analysis (Draw Timing)
✅ Consistent with Randomness (100/100)
We test whether outcomes vary meaningfully by draw timing. This checks for clustering by schedule rather than number popularity.
No Temporal Bias Detected
The timing of draws appears random and fair.
Draws are evenly distributed across time, showing no signs of drift or persistence.
Sun
Normal
Mon
Normal
Tue
Normal
Wed
Normal
Thu
Normal
Fri
Normal
Sat
Normal
Temporal Stability Check
Seasonality
Pass (100)
Distribution Drift
Pass (100)
Sudden Shifts
Pass (100)
Recency/Gaps
Pass (100)
Checks for drift, sudden statistical shifts, and gap anomalies.
Selected scope: All tracked draws. Note: Showing all tracked draws together. This is the broadest view, but legacy matrix changes can dilute pattern comparisons against the current 5/70 + 1 Mega Ball rule set.
Mega Millions currently carries a fairness score of 99/100 across the active 5/70 + 1 Mega Ball audit scope, which begins in 2017. That score is descriptive audit context only; it does not make the next draw more or less predictable.
The current signal is strongest in temporal stability, which is why we separate current-scope audits from broader historical comparisons before drawing conclusions about fairness.
Key Finding
Across 1,161 audited draws, Mega Millions scores 20/100 on our goodness-of-fit index (χ² = 62.60 (df = 69), p = 0.6933). Statistical anomalies were flagged in frequency analysis, warranting further review.
Methodology
Chi-Square Goodness of Fit, temporal distribution, and combinatorial pattern analysis
Sample
1,161 officially published draws
Primary frequency test (Chi-Square)
χ² = 62.60 (df = 69), p = 0.6933
Structure / pattern test (Chi-Square)
χ² = 7.28 (df = 5), p = 0.2004
Frequency analysis
10/100 — Anomalies detected
Pattern analysis
100/100 — Consistent with randomness
Temporal analysis
100/100 — Consistent with randomness
What this means for players: Some statistical irregularities were detected. These may reflect mechanical variance, sample-size effects, or genuine anomalies. See the dimension-by-dimension breakdown below for detail.
Fairness Score
20 / 100
Statistical Anomalies Detected
Coverage: Sep 18, 2015 → Oct 30, 2026
Total Draws Analyzed: 1161
Last Updated: November 2, 2026 ET
Executive Summary
This scope audits 1161 Mega Millions draws from All tracked draws. Within this sample, the observed variation exceeds normal random noise on one or more goodness-of-fit checks and warrants closer review.
Bottom line for this scope: The selected sample contains statistical irregularities that are stronger than normal random noise.
Results by Dimension
1. Frequency Analysis (Number Distribution)
⚠️ Anomalies Detected (10/100)
We test whether each number appears approximately as often as expected over multiple windows inside the selected scope.
Significant Number Bias Detected
Statistical analysis indicates that certain numbers are appearing more or less frequently than random chance would predict.
Strategic Choice: • Follow the Trend: Consider including the over-performing numbers in your selection. • Bet on Reversion: Consider playing the under-performing numbers, anticipating they will eventually catch up.
Observed vs. Expected Frequency
Contribution to Deviation
* Large contributions do not imply bias; they indicate natural variance concentration.
Most Deviant Numbers in Mega Millions (Table View)
Number
Observed Count
Expected Count
Deviation
χ² Contribution
#17
105
82.9
+22.1
5.87
#31
104
82.9
+21.1
5.35
#67
62
82.9
-20.9
5.28
#65
65
82.9
-17.9
3.88
#23
66
82.9
-16.9
3.46
* These Mega Millions numbers contributed most to the Chi-Square statistic in this scope. Historical deviation reflects finite-sample variance and does not change future draw odds.
Mega Millions Bonus Drum Top Deviations
Bonus Ball
Observed Count
Expected Count
Deviation
Bonus #23
31
48.4
-17.4
Bonus #21
32
48.4
-16.4
Bonus #20
33
48.4
-15.4
Bonus #4
60
48.4
+11.6
Bonus #5
38
48.4
-10.4
2. Pattern Analysis (Combination Structure)
✅ Consistent with Randomness (100/100)
We analyze whether combination patterns (for example even/odd, high/low, and consecutive numbers) occur at rates consistent with randomness inside the selected scope.
Excellent Randomness (No robust deviation detected)
The combination patterns are consistent with a fair, random draw.
No statistical pattern bias detected.
Mega Millions Combinatorial Pattern Tests (Table View)
Pattern Family
Chi-Square Statistic
p-Value
Largest Bucket Deviation
Even / Odd Split
χ² = 7.28 (df = 5)
0.2004
5 Even – 0 Odd: 45 obs vs. 31.1 exp
High / Low Split
χ² = 14.08 (df = 5)
0.0151
5 High – 0 Low: 21 obs vs. 36.2 exp
Decade / Tens Spread
χ² = 9.61 (df = 5)
0.0870
1 – 1 – 1 – 1 – 1: 248 obs vs. 218.7 exp
3. Temporal Analysis (Draw Timing)
✅ Consistent with Randomness (100/100)
We test whether outcomes vary meaningfully by draw timing. This checks for clustering by schedule rather than number popularity.
No Temporal Bias Detected
The timing of draws appears random and fair.
Draws are evenly distributed across time, showing no signs of drift or persistence.
Sun
Normal
Mon
Normal
Tue
Anomaly
Wed
Normal
Thu
Normal
Fri
Anomaly
Sat
Normal
Temporal Stability Check
Seasonality
Pass (100)
Distribution Drift
Pass (100)
Sudden Shifts
Pass (100)
Recency/Gaps
Pass (100)
Checks for drift, sudden statistical shifts, and gap anomalies.
What This Audit Tests (and What It Doesn’t)
This audit evaluates whether published draw outcomes behave like a fair, random process based on historical data.
✅ What We Test
Whether outcomes match expected statistical behavior
Large, persistent anomalies inconsistent with randomness
Separating normal streaks from systemic bias
❌ What We Don’t Test
Predicting future numbers or improving odds
Detecting rare, targeted “Sniper Attacks” (e.g., Eddie Tipton case)
Guarantees of future fairness
Mega Millions Data & Statistical Framework
Data source: Official Mega Millions draw results (Oct 31, 2017 to Oct 30, 2026)
Operating matrix: 5 main numbers drawn from 1 to 70 plus 1 Mega Ball from 1 to 24
Default audited sample: 940 draws in the primary scope above (~67.1 expected appearances per main number (1–70))
Primary goodness-of-fit result: χ² = 61.16 (df = 69), p = 0.7379 — no statistically significant deviation detected
Null hypothesis (H0): Each Mega Millions draw is independent and uniformly random within the 5/70 + 1/24 rule set.
All Mega Millions tests are evaluated against this null hypothesis using Chi-Square Goodness of Fit tests (df = 69), Holm-Bonferroni multiple-testing correction, temporal drift/seasonality checks, and combinatorial pattern analysis.
Interpreting the Fairness Score
A Fairness Score of 99/100 summarizes how closely the audited draw sample aligns with the null hypothesis of uniform randomness:
High Score (90+): No statistically significant deviation detected in this sample across the evaluated goodness-of-fit tests.
Component Checks: Positional or drum-level frequency distributions and combinatorial structures pass independent significance thresholds.
Sample Variance: Observed hot and cold streaks fall within the range expected for a uniform random process of this sample size.
The score is not 100/100 due to minor statistical fluctuations or sample-size limitations. This is normal for real-world physical systems.
The Fairness Score is an Exploratory Data Analysis (EDA) summary of historical goodness-of-fit tests. Failing to reject the null hypothesis means no statistically significant deviation was detected in this sample; it cannot certify the physical draw mechanism or rule out rare, targeted tampering.
A high score does not imply outcomes are evenly spaced or predictable — only that they are statistically ordinary.
A high score does not imply predictability. It simply means the game is behaving fairly. Fair games are unpredictable by definition — see how statistical math detects lottery anomalies.
Short-term streaks are expected. Seeing the same number twice in a row is rare but normal. It is not evidence of a glitch; see our draw independence research.
Transparency & Validation
This audit is part of the Lucky Picks Lottery Fairness Score program and uses standard statistical tools, including Chi-Square Goodness of Fit tests, effect size filtering, and component-level integrity checks across all audited lotteries.
Statistical audits cannot prove intent or rule out fraud absolutely. We can only detect statistical anomalies.
Smaller windows are noisier than full-history analysis. Recent trends may be due to short-term variance.
Rare biases may require more data to detect than is currently available.
This report reflects what the data can — and cannot — support.
What This Means for Players
No statistically significant deviation from uniform randomness was detected in the audited Mega Millions sample (940 draws, Oct 31, 2017 to Oct 30, 2026). Check the latest Mega Millions winning numbers and draw results for the most recent drawing.
“Hot” and “cold” numbers occur naturally in finite 5/70 + 1/24 samples and do not predict future draws — explore them descriptively in the Mega Millions strategy playground.
Is Mega Millions truly random and fair?Across 940 audited Mega Millions draws (Oct 31, 2017 to Oct 30, 2026), the game scores 99/100 on our statistical goodness-of-fit index (primary Chi-Square χ² = 61.16, df = 69, p = 0.7379). We detected no statistically significant deviation from uniform randomness across frequency (100/100), pattern (100/100), or temporal (98/100) dimensions in this sample.How do you test Mega Millions draws for statistical fairness?We test Mega Millions’s 5 main numbers drawn from 1 to 70 plus 1 Mega Ball from 1 to 24 against the null hypothesis of uniform independence. Across 940 draws, ~67.1 expected appearances per main number (1–70). We run a Chi-Square Goodness of Fit test (df = 69) across the full era and rolling windows with Holm-Bonferroni multiple-testing correction, alongside combinatorial pattern and temporal drift checks.Which Mega Millions numbers showed the largest frequency deviation in this sample?In the audited Mega Millions sample of 940 draws, the largest individual contributors to the Chi-Square statistic were #10 (88 observed vs. 67.1 expected, +20.9), #17 (84 observed vs. 67.1 expected, +16.9), #65 (53 observed vs. 67.1 expected, -14.1). Because the overall p-value (p = 0.7379) remains well above significance thresholds after multiple-testing correction, these gaps represent normal finite-sample variance rather than a biased drum.Can a fair Mega Millions drawing still produce hot streaks or repeat numbers?Yes. In a truly random 5/70 + 1/24 process, short-term clusters, repeat numbers, and long cold gaps are mathematically expected. Mega Millions scored 100/100 on combinatorial pattern uniformity and 98/100 on temporal stability over 940 draws, indicating no statistically significant departure from expected random variance in this sample.Does Mega Millions’s 99/100 Fairness Score help predict the next winning numbers?No. A 99/100 Fairness Score means historical Mega Millions outcomes show no statistically significant departure from uniform randomness. Because each drawing is independent, past hot or cold numbers do not alter the probability of any combination on the next Mega Millions draw.