An independent statistical analysis of every case recorded under the Dr. Khasro Method — 1,567 predictions across 36 years — tested for accuracy, consistency, and statistical significance.
One picture and three sentences. If you only read one part of this page, read this.
1,567 predictions, 36 years, one simple split.
If this method made 100 predictions, about 94 would turn out correct and about 6 would be wrong. That's the 95.0% overall accuracy figure.
Accuracy wasn't always this high. It has climbed steadily since 1990, and has stayed above 96% almost every year since 2016.
Statisticians checked whether this could just be chance. The odds against that are so extreme — far beyond winning a lottery — that the result is treated as essentially certain, not luck.
Across the full 1990–2026 record, the method's case-weighted accuracy — total correct predictions divided by total cases — was tested against the 50% chance baseline expected from random guessing, with 95% Wilson confidence intervals calculated for every proportion.
Why doesn't 95.1% and 93.3% average to 95.0%? Because the overall figure is weighted by case volume, not a simple average of the two rates. There are far more boy-prediction cases (1,507) than girl-prediction cases (60), so the overall accuracy sits close to the boy-prediction rate: (1,433 + 56) correct out of (1,507 + 60) total = 1,489 / 1,567 = 95.0%.
Early years (1990s–early 2000s) averaged accuracy in the mid-70s to mid-80% range. Since 2016, the method has performed at or above 96% in nearly every year, alongside a steady rise in case volume as adoption grew.
Year-by-year accuracy (%) compared with the 50% chance baseline and the 95.0% overall weighted average.
Reading this chart: the pink line is real performance. It starts closer to the grey "chance" line in the 1990s and climbs steadily above the blue overall-average line as the years go on.
Total recorded cases per year, with a ~7.0% compound annual growth rate from 1990 to 2025.
Reading this chart: taller bars on the right mean more people used the method in recent years than in the 1990s.
Overall, boy, and girl accuracy side by side.
Reading this chart: all three bars land in a similar, high range — none of them are anywhere near the 50% you'd expect from guessing.
Green = correct, pink = missed, for the largest part of the dataset.
Reading this chart: the pink "missed" slice barely grows even as the green "correct" slice gets much bigger — meaning mistakes didn't scale up along with volume.
Every figure on this page comes from a formal statistical review of year-level case records — not selective reporting. Four methods anchor the analysis:
Used for every proportion instead of normal-approximation intervals, since Wilson intervals stay reliable for accuracy figures near 100% or based on small samples.
An honest range for how much a number could wobble, instead of a falsely confident single figure.
One-sided exact binomial tests check whether observed accuracy significantly beats the 50% baseline expected from random guessing between two sexes.
Checks whether this could just be a lucky streak. It isn't.
A chi-square test of independence was used to check whether boy- and girl-prediction accuracy genuinely differ, rather than assuming they do.
Checks whether boys and girls are truly predicted differently, or whether it just looks that way because of sample size.
Ordinary least-squares regression, reported with Pearson's r and its p-value, tests whether accuracy and case volume genuinely trend over time.
Confirms the upward trend is real, not just random ups and downs.
The results are strong and real, but honest about where the data is thinner.
The Dr. Khasro Method has guided thousands of families through 36 years of predicting their baby's gender — with 95.0% accuracy, before conception. Reach out and let's talk about your journey.