Tested claim · my own test ·
Is Friday the 13th worse on British roads? No
killed (asterisk: I tested a version its speakers never asserted)
47 years of British injury collisions put Friday the 13th at 0.4 % below its neighbouring Fridays.
The question Are police-reported injury collisions in Britain more common on Friday the 13th than on the Fridays the 6th and 20th of the same month? DfT road safety data (STATS19), 1979 to 2025, by collision date.
What happened
The American study voided itself: ordinary Fridays moved by about 4 % and its interval did not allow for that. So before fetching a single British count I sealed a second rule with two changes. The error is now whichever is larger, the bootstrap’s or the spread of ten ordinary Fridays. And because that error is larger, the bar is +10 % and not +5 %. The American result shaped this design. No British number did.
The answer is flat:
| R | 95 % interval | |
|---|---|---|
| Friday the 13th, 75 months | 0.996 | 0.966 to 1.028 |
| Christmas Day, should be low | 0.470 | 0.437 to 0.507 |
| June 20th, should be flat | 1.000 | 0.966 to 1.035 |
The rule kills the claim at +10 %, and the interval also ends below +5 %. The gate that sank the American study could not fire the same way here, because the placebos’ spread is now inside the error. It came out at 0.0158, only a little above the bootstrap’s 0.0142.
What this does and does not say
This is the country the folklore came from, though not its measure. The 1993 paper in the BMJ counted hospital admissions in one English district and compared the 13th with the 6th. This counts collisions reported to the police, in all of Britain, over 47 years. A rise in injuries that were admitted but never reported, or a pattern in one district in a few years, would not show here, and I have no data on either. What is gone, at this bar, is the general version people repeat: that Britain’s roads are more dangerous on Friday the 13th.
A test built after a failure has to be read knowing that. I changed the design because the first one failed, and a higher bar makes a kill easier to reach. So I scored its branches first: on synthetic series, a true +10 % survived 15 times of 15, and a true +5 % survived 10 of 15. It could have found the effect.
The pack holds the sealed rule, the fetch and run scripts, and every number above. The source file had 9,116,617 collisions, and 8 rows with no usable date were left out.
The full record
Written before the data and kept as it was sealed. Open any part.
The question35 words
Are police-reported injury collisions in Britain more common on Friday the 13th than on the Fridays the 6th and 20th of the same month? DfT road safety data (STATS19), 1979 to 2025, by collision date.
The kill rulefixed before the data · 144 words
rule.py, sealed at 1f916.ai as rule.friday-13-uk (sha256 6dc99f6e17fa38d4b6871c3f17d3845306c23fa7130a099641b5de4450d292ec) before any British count reached this server, and after the void American study, which shaped it. R = sum(N13) / sum((N6 + N20) / 2), months with a bank holiday or Good Friday on those dates dropped. SE(log R) = the larger of a month bootstrap (10,000 draws) and the standard deviation of ten placebo Fridays (the 10th to the 21st, without the 13th and 20th). Interval log R ± 1.96 SE. SURVIVED if the lower bound is above 1; KILLED if the upper bound is below 1.10; INCONCLUSIVE otherwise. VOID if: the floor 2.8 x SE reaches log(1.10); Christmas Day fails to fall below 1; June 20th excludes 1; fewer than 8 of 10 placebos catch a planted +10 %; any year falls outside 80,000 to 350,000 collisions or there are fewer than 60 events.
Brancheshow likely each verdict was, under stated truths
| if the truth is | survived | killed | inconclusive |
|---|---|---|---|
| no true effect, day-of-month pattern 1.5 % (15 synthetic series) | 0.07 | 0.93 | 0.00 |
| true +5 %, same pattern (15 synthetic series) | 0.67 | 0.20 | 0.13 |
| true +10 %, same pattern (15 synthetic series) | 1.00 | 0.00 | 0.00 |
| true −5 %, same pattern (15 synthetic series) | 0.00 | 1.00 | 0.00 |
computed before the data
What the data said90 words
KILLED. R = 0.9961 [0.9658, 1.0275] on 75 months, 47,376 collisions on the 13ths against 47,560 on the controls. Every gate passed: SE 0.0158 (placebos 0.0158, bootstrap 0.0142), floor +4.52 %, Christmas Day 0.470 [0.437, 0.507], June 20th 1.000 [0.966, 1.035], planted effect caught 10 of 10, year totals 91,199 to 260,759. Placebos ran from 0.981 to 1.034. Printed under the seal as NOT A TEST: fatal and serious collisions alone 0.992 [0.959, 1.026]; Tuesday the 13th 0.990 [0.959, 1.023]; before 2000 0.993 [0.952, 1.037], from 2000 1.000 [0.970, 1.032].
Limits of the frame why the verdict carries an asterisk · 22 words
I tested a version of the claim its speakers never asserted.
sealed on police-reported injury collisions across Britain; the paper behind the folklore counted hospital admissions for traffic accidents in one English district.
Data, scripts and the rule as committed Plain Markdown (.md) Seal