Are there more traffic accidents on full moon nights?
No difference
A belief long passed down in police and ER lore. Safe driving and preparedness matter on every moon phase.
United States (fatal crashes, NHTSA FARS)
- Average (whole period)
- 96 per day
- Full moon days (±24h)
- 96 per day
- New moon days (±24h)
- 97 per day
- Verdict for full moon days
- No difference
- Data
- 2000–2024, 880,978 events
Japan (injury accidents, National Police Agency)
- Average (whole period)
- 840 per day
- Full moon days (±24h)
- 838 per day
- New moon days (±24h)
- 837 per day
- Verdict for full moon days
- No difference
- Data
- 2019–2024, 1,841,353 events
Act II: If not the moon, what crashes the cars?
Came looking for a difference? Here is a real one.
×1.4
The most dangerous hour is 18:00 — about 1.4x an average hour. Commuter flows and dusk visibility set the risk on the road.
By weekday, the worst day (Saturday) sees about 1.5x the accidents of the quietest (Tuesday). The real driver of the numbers is how many people are behind the wheel, and when.
What fills the crash reports isn't moonlight — it's the 18:00 rush and tired drivers. Drive safely, whatever the moon is doing.
"Full moon nights are wild" — the view from the field
Police officers, paramedics, and ER staff around the world have passed down the same observation: full moon shifts get rough. The term "lunar effect" exists for a reason, and plenty of first responders still brace for full-moon nights. The instincts of people who have spent decades on the street don't deserve to be laughed off from a desk. Which is exactly why this page tests the belief on the field's own turf — actual crash records.
On paper, you can build a plausible story: full-moon nights are brighter, maybe more people go out; moonlight might catch a driver's eye; some studies suggest people sleep worse. But the question is not whether a story can be told. It is whether hundreds of thousands of crash records actually carry its fingerprint.
Some research actually found an increase
In 2017, the BMJ published a study finding about 5% more fatal motorcycle crashes in the US on full moon nights (Redelmeier & Shafir) — the authors' hypothesis being not moonlight itself but the glance toward the moon. Most studies of overall traffic accidents and moon phase, on the other hand, find no significant difference. In other words, this is not a long-settled question: conclusions have swung with the population and method studied. Our verdict casts the widest possible net — all injury accidents in Japan and all fatal crashes in the US.
How this verdict is computed
- Japan: daily counts of all injury accidents from the National Police Agency's open data (since 2019)
- United States: daily counts of all fatal crashes from NHTSA FARS (since 2000). Note the metrics differ: injury accidents for Japan, fatal crashes for the US
- Accident counts have strong weekday rhythms (commutes, weekends) and seasonality. The expected value is therefore the average for the same weekday × month, and we compare observed ÷ expected — the same adjustment used on the births and FX pages
- Each day is classified as a full moon day (±24h around the instant) or new moon day by the moon's age at local noon (JST for Japan, US Eastern for the US), and each group's mean index is compared to baseline (1.00)
See the methodology page for the verdict criteria.
Where the field's intuition comes from
Even if the verdict reads "no difference", that does not make the field's experience a lie. On a brutal night, you look up — and a full moon gets remembered. A full moon over a quiet night never does. This mechanism, confirmation bias, works hardest on the most conscientious people, because the hardest nights cut the deepest memories. All data can do is correct that memory's bookkeeping with counts.
Sources
- National Police Agency of Japan, traffic accident open data
- NHTSA FARS (Fatality Analysis Reporting System)
- Redelmeier DA, Shafir E. "The full moon and motorcycle related mortality" BMJ 2017;359:j5367
- Moon phases computed in-house from Jean Meeus, "Astronomical Algorithms" (UTC)
Last updated: June 12, 2026 11:12 UTC (rebuilt daily)