This website uses a statistical model to estimate how many men are scratching their balls at any given moment. Here's exactly how it works.
For each of 10 global regions, we calculate: scratchingNow = males10plus × awakeRate(localHour) × scratchRate, where scratchRate = (timesPerDay × durationSec) / secondsInDay
We use a sinusoidal curve to model the fraction of the population that's awake at any given local hour: awakeRate(h) = 0.5 + 0.45 × sin((h − 4) × π / 12). This gives ~95% awake at 14:00 and ~5% awake at 04:00.
| Parameter | Value |
|---|---|
| Scratching frequency | 3 times per day |
| Duration per session | 5 seconds |
| Total males 10+ modeled | ~2,645,000,000 (77% of global) |
← But why do they scratch in the first place?
No actual balls were monitored in the making of this website. The behavioral parameters (3 times/day, 5 seconds/session) are humorous estimates and do not claim scientific backing.
| Factor | Impact | Our Excuse |
|---|---|---|
| No direct observation | High | Ethics boards said no |
| Sleep model is sinusoidal | Medium | Real sleep is messy; sine waves are elegant |
| Uniform scratch rate globally | Medium | Climate variation ignored for sanity |
| Age cutoff at 10+ | Low | Below 10 is a different research grant |
| 3 times/day is a guess | High | Nobody has counted. That's why we exist. |
| 5 seconds/session | Medium | Could be 2, could be 15. We split the difference. |
| No seasonal adjustment | Low | Summer vs winter data would require hemispheric modeling |
No. This is a statistical estimate based on plausible assumptions, population data, and a sinusoidal sleep model. The true number could be 2× higher or 3× lower. We will never know, and neither will you, and that's fine. What is accurate: the order of magnitude. Hundreds of thousands of men, right now, at this very second. That part is real. The math checks out. The existential implications are yours to process.
Want to narrow that margin? Fund accuracy — every dollar gets us 1% closer. Probably.
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