RERUN
Claim 28

Receipt for run 1: the Lab's permanent record of what it did

Do referees give dark-skinned footballers more red cards?

RERUNCLAIM #0028

Do referees give dark-skinned footballers more red cards?

Measured in
times the odds
Paper says
1.31
Counts if
1.3 to 1.32
Lab got
1.31
VerdictNumbers check out
6358604970557ec53620Nov 06, 2026

Paper said 1.31. We got 1.31.

The code and data produced the same result. That doesn't prove the study's method is right.

Check this yourself

You don't have to trust us or the . With Docker and Node installed, this retraces the claim on your own computer and compares the number:

git clone <this repository> && cd rerun && pnpm install && pnpm sandbox:build
pnpm verify-claim 28

How much evidence is behind this?

Each step is a tougher test. Only the first one decides who wins the market.

  1. 1. ✓

    The Lab's retrace of the code and data named in the claim

    The Lab retraced the code and data and got a number inside the claim's range. YES wins.

  2. 2. –

    Stress test: does the number depend on luck?

    Fetching the extra runs…

  3. 3. –

    Rebuilt from the description (experimental)

    Fetching the AI's rebuild…

Coming next: a data-leakage check, for the same rows in training and test data, and a maths check on the statistics a paper reports. Neither has run on this claim.

Even all three steps can't prove the science is true. They show how well this result stands up to checking.

Verified

Your browser just re-checked these itself, so you don't have to trust this site.

Checking…

The write-up

The write-up isn't available right now. Its fingerprint is below.

The full record (technical)

✓ Verified on NEAR. See the contract's history

Outcome
REPRODUCED
6358604970557ec5362053d098a463da55a001913553b5e11490e153e155a823
Commit
175eddea88cc8adab8dd20f2100b5b453d359244
Data fingerprints
203ffd998fe997b160ad5d4cb08b880aa6c326c97514e2361682aa41ece4ed09
Software versions fingerprint
8dab88328537f15c219ff04f4c55b0150f9867347067f4b5868ed8b0769249af
Runtime
1s, exit code 0
Started, finished
11/6/2026, 9:08:58 AM, 11/6/2026, 9:09:56 AM
Lab
rerun-lab-43f5f2.testnet
Lab code fingerprint
49fabb2e2f141c064ca032b253ce0f7e4f8054a781e5b3d64ee0d8a238372802
AI used
z-ai/glm-5.3-flash
20cf8a617a1a18dc07d23c12fa06b66f4c32aa2403b043302723af908f5ceeba
Signed AI replies
ba172f54a24d4d48aae721203f9fc495
Log fingerprint
da73463a6e5ca62526aab2f3ffd3ac75a173cd677d121709e9cce54bacfae89d
Write-up fingerprint
4ec525f6279d424bdad6251d3db4170b1693c7c91b9ddd066323a2c55f7ec0d5
Show the end of the run log
teams 29
lowest 0.89 highest 2.93
found_an_effect 20 did_not 9
median_odds_ratio 1.31