Lance Dobson

Folk causation

Does the Full Moon Make People Act Up? The Results

October 26, 2026

The short answer

No. The full moon does not predict mood, violence, police calls or ER visits.

Around the full moon, Twitter was no grumpier, assaults were no more common, police got no more calls and ERs saw no more injuries. Every difference was under half a percent, smaller than chance produces, and it flipped direction from year to year. The full moon calendar did nothing to help forecast any of them.

That’s what I predicted before looking.[1]

There was one surprise, and it runs the opposite way to the folklore: police got slightly more calls around the new moon, the darkest nights.

What I tested

The claim: around the full moon, people get moodier and more violent, and police and ERs get busier.

What I found

ClaimFull-moon window vs. other daysPlausible rangeFake calendars showing a gap this big
People are moodierNo change (0.3% of a typical day’s swing)±10% of a typical day’s swingAlmost all of them
More violence0.4% fewer assaults1.0% fewer to 0.2% more1 in 3
Police get busier0.4% fewer calls0.8% fewer to 0.1% more1 in 4
The ER gets busier0.06% more visits0.3% fewer to 0.5% more4 in 5

To count as unusual after running four tests, a gap needed to show up in fewer than about 1 in 80 fake calendars. None came close. Three of the four leaned the opposite way to the claim, and every gap is tiny. On a night that would normally see 100 assaults, the full moon window averages about 99.6.

Can it forecast? For each measure I trained a model on the earlier years and asked it to predict the later ones, with and without the full moon calendar. The real calendar did no better than random calendars: it beat 51% of them for mood, 38% for violence, 45% for police calls and 47% for the ER. The rule I set in advance needed 95%.

The direction flips from year to year

If the full moon really did something, it should lean the same way most years. Here’s how many years leaned the way believers expect:

ClaimYears leaning the expected way
People are moodier10 of 16
More violence13 of 26
Police get busier8 of 17
The ER gets busier12 of 20

Each of these is what you’d get from a coin toss. Violence is the cleanest example: assaults ran up to 3% higher around the full moon in some years and up to 3% lower in others, and over 26 years they split exactly 13 to 13. Anyone who worked through a run of bad full moons in, say, 2001–2003 would have seen a pattern that then disappeared.

The refinements

I also tested the details believers add:

The surprise: more police calls on the darkest nights

One result held up after correcting for the 15 extra tests: police calls were about 1.5% lower around the full moon than around the new moon, and they fell as the moon got brighter. Random calendars produce a gap that size about 1 time in 1,250.

That’s the opposite of the folklore. The full moon itself wasn’t busier; the new moon was.

I then split it by city. This step wasn’t in the plan, so treat it as exploration:

I don’t know why. Darker nights could change what people do or what they report, or it could be something particular to New Orleans. One city isn’t enough to believe it. A 1–2% shift is also far too small for anyone working a dispatch shift to notice. It would need testing in other cities before it means anything.

Why the belief survives anyway

None of this makes the nurses and officers foolish.

What this does and doesn’t show

Where I filled in details the plan didn’t specify

The verdict

Hypothesis: the full moon is predictive of mood, violence, police calls or ER visits. Not supported.

The one result that held up points the other way: slightly more police calls on the darkest nights, mostly in one city. It’s worth checking elsewhere, not believing yet.

The code, the data and every number behind this page are public,[10] so anyone who thinks I got it wrong can check.

A note on how this was written

Based on the way this is written, you can probably tell it was written heavily by AI. The structure of everything is built by me in conjunction with AI, and nothing is published without my final approval.

If a full moon shift feels busier, what would a normal shift have had to look like for you to notice the moon wasn't full?

What this was built from

  1. The pre-registration: how this test was planned, published before any data was compared
  2. Hedonometer: daily happiness of English-language Twitter
  3. City of Chicago: Crimes, 2001 to present
  4. NYC Open Data: NYPD complaint data, historic and year to date
  5. Seattle Open Data: police call data
  6. New Orleans Open Data: calls for service
  7. CPSC: National Electronic Injury Surveillance System (NEISS)
  8. FiveThirtyEight: US births by date, 1994–2014
  9. NASA JPL: planetary ephemerides (DE440)
  10. The code and data behind every number on this page