RERUN
Claim 30

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

How much psychology research holds up when it's repeated?

RERUNCLAIM #0030

How much psychology research holds up when it's repeated?

Measured in
% significant again
Paper says
36
Counts if
35.5 to 36.5
Lab got
36.0825
VerdictNumbers check out
90a002bd7f0b85c8e044Nov 06, 2026

Paper said 36. We got 36.0825.

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 30

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
90a002bd7f0b85c8e04421cea8fca462082b99eba380cb2ce19807bcaed030fb
Commit
175eddea88cc8adab8dd20f2100b5b453d359244
Data fingerprints
4d87a2636181d8e31230422854cf0fabeaecd2f1b47a59627482c05a2b56d54d
Software versions fingerprint
8dab88328537f15c219ff04f4c55b0150f9867347067f4b5868ed8b0769249af
Runtime
1s, exit code 0
Started, finished
11/6/2026, 9:18:45 AM, 11/6/2026, 9:19:49 AM
Lab
rerun-lab-43f5f2.testnet
Lab code fingerprint
49fabb2e2f141c064ca032b253ce0f7e4f8054a781e5b3d64ee0d8a238372802
AI used
z-ai/glm-5.3-flash
3d1f1b9264dd6be8a00c4c3ef5b4da407ff56cbec168cd792dd65cf93c10dcc8
Signed AI replies
5696ef4a853e49569351a459e8ffa5c0
Log fingerprint
bebe79b32504ca9072615a53dfe1ada0c202144e1beec9b4b489ac4cc594052d
Write-up fingerprint
32a8cfafe238d3d26504797eb299d63979a39a149bf03cf2dc74a662b4dd056c
Show the end of the run log
significant_originals 97
significant_again 35
percent_significant_again 36.0825