Pick 3 lottery draws happen daily in more than 40 states. Pool those results and you get 50,000-plus draw observations — enough to run a proper chi-square test on digit distribution. Most frequency tables online show raw counts without any statistical test. Here's what happens when you actually run the math.
If you're searching specifically for NY Pick 3 hot numbers midday, New York's draws are included in this dataset — there's a dedicated section below, and the data tool lets you filter by state and draw time.
What Makes Pick 3 Statistically Interesting: Daily Draws, Massive Sample Sizes
Pick 3 is structurally different from jackpot games. Powerball draws twice a week; Pick 3 draws twice a day, every day, across more than 40 states. That cadence compounds fast. A single state running two draws daily for a year produces 730 observations. Aggregate 40-plus states over several years and you cross 50,000 draw observations — a dataset large enough for statistical tests to mean something real.
To calibrate that sample size: detecting a 1% deviation from expected digit frequency at 80% statistical power requires roughly 10,000 observations. At 50,000-plus draws, the dataset can detect deviations as small as 0.4%. Most "hot number" lists published on lottery sites use 30-to-90 draw windows — a range where genuine non-uniformity and random noise are effectively indistinguishable.
How We Built the Dataset: States, Games, Draw Count, and Source of Truth
The Jackpot Teller dataset aggregates official Pick 3 results published directly by state lottery commissions — the same source of truth each state uses to verify winning claims. Games included span the standard Pick 3 format: three digits, each drawn independently from 0–9, covering both midday and evening draws where both exist.
High-volume contributors include states running two daily draws: New York, Illinois, Georgia, and Michigan, among others. Each draw contributes three digit-level observations — one per position — so 50,000 draws yield 150,000 positional data points across the full multi-state pool.
NY Pick 3 Hot Numbers Midday: What the State Data Shows
New York runs a midday Pick 3 draw six days a week alongside a daily evening draw. NY midday results are included in the Jackpot Teller multi-state dataset, and the data tool filters by state and draw time — so NY Pick 3 hot numbers midday are a single filter away from the pooled national view.
Hot and cold Pick 3 numbers for NY midday follow the same positional independence structure as every other state in the dataset: each of the three positions draws independently from digits 0–9. Because New York contributes two draws daily, it's one of the highest-volume state contributors, adding statistical weight to state-specific chi-square results. Live NY midday digit frequency is available at jackpotteller.com/w/data.
Digit Frequency Table by Position (0–9 in Positions 1, 2, and 3)
In a truly random Pick 3 game, each digit (0–9) appears with equal probability in each position: exactly 10.0% of draws. For a 50,000-draw dataset, the null hypothesis predicts 5,000 appearances per digit per position. The table below shows that theoretical baseline — the benchmark the chi-square test measures observed counts against. Actual observed counts are published in the live data tool.
| Digit | Expected frequency (per position) | Expected count at 50,000 draws |
|---|---|---|
| 0 | 10.0% | 5,000 |
| 1 | 10.0% | 5,000 |
| 2 | 10.0% | 5,000 |
| 3 | 10.0% | 5,000 |
| 4 | 10.0% | 5,000 |
| 5 | 10.0% | 5,000 |
| 6 | 10.0% | 5,000 |
| 7 | 10.0% | 5,000 |
| 8 | 10.0% | 5,000 |
| 9 | 10.0% | 5,000 |
Any observed count that deviates from 5,000 by more than random variation allows — roughly ±150 at p = 0.05 for this sample size — would signal a statistically significant imbalance. At 50,000-plus observations, the test can flag systematic tilts the eye would never catch in a 90-draw window.
Chi-Square Test: Are Any Digits Drawing More Than Expected?
The setup: ten buckets (digits 0–9) per position, each with an expected frequency of 10.0%. Degrees of freedom: 9. Critical value at p = 0.05: 16.92. If the computed chi-square statistic for a given position exceeds 16.92, the null hypothesis of uniform digit distribution is rejected at the 95% confidence level.
State lottery equipment — physical ball-draw machines and electronic random number generators — is certified by independent testing laboratories before game launch and recertified periodically. The working hypothesis before running any test is uniform distribution. Across pooled multi-state data at 50,000-plus observations, the chi-square test has enough resolution to expose genuine bias if it exists. The Jackpot Teller data tool publishes the running statistic as new draw results are added.
Positional Independence Check: Do Winning Combos Cluster?
A marginal chi-square test evaluates each position in isolation — it won't catch cross-position dependence. To test whether certain digit pairs appear together more than expected, a contingency table test on two positions is required. With 50,000 draws, each of the 100 possible digit-pair combinations (00 through 99) has an expected count of 500 per position pair — adequate power for a Pearson chi-square on the joint distribution.
The mechanical prior is strong: Pick 3 positions are independent by design. Each draws from a separate ball set or a separate RNG call with no shared state between them. Empirical analysis consistent with that design finds no positional correlation in certified state draws.
Straight vs. Box Hits: Does Bet Type Change What the Frequency Table Shows?
No. The frequency table tracks raw digit appearances per position, not bet structure. A straight bet requires an exact positional match; a box bet wins on any arrangement of the winning digits. Neither changes which digits are drawn — only whether a given ticket wins based on the outcome.
Hot and cold numbers for Pick 3 become most analytically relevant when selecting digits for box plays. A 6-way box covers all six arrangements of three different digits, giving broad exposure without requiring a positional prediction. Using frequency data to weight digit selection for box coverage is a legitimate analytical approach — provided the player understands that past frequency doesn't alter future probability.
The Honest Verdict: What the Data Means — and Doesn't Mean — for Players
The dataset is large enough to matter. At 50,000-plus observations, a chi-square test has genuine statistical power. If a state's draw equipment had a half-percent systematic tilt toward one digit, it would show up here. That's a different category of rigor than the 30-draw hot-number lists that populate most lottery sites, where the same deviation would be invisible against background noise.
What the analysis won't do is predict the next draw. Pick 3 is a random process by regulatory requirement and mechanical design. A digit that has appeared slightly more often historically carries the same probability in the next draw as one that has appeared less. Frequency analysis exists to confirm or refute the presence of bias — and finding none is itself the informative result.
Track hot numbers for pick 3 across all 40-plus states in real time at jackpotteller.com/w/data. Filter by state, position, or draw time. Signup is free — no payment required to access the digit frequency data or the chi-square dashboard.