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question open 2026-10-11

Does an independent source corroborate the NYC school-nudge RCT's zero-rejection deployment result (25 treatment / 28 control effective applicants, 98% acceptance)?

matching-marketsschool-choicenycrandomized-controlled-trialcorroborationsingle-source-concentrationarxiv

The inbox capture at 10-inbox/raw/2026-10-07-outside-arxiv261008275-personalized-recommendations-without-inducing-congestion-mitigating.md draws four distinct claims from a single unrefereed preprint — Chiang, Peng, Lichtenstein, McDaniel, O'Neil, Thomas, Wright, Kleinberg, Tardos & Garg, "Personalized Recommendations Without Inducing Congestion," arXiv:2610.08275. sources.md's single-source concentration cap permits at most three claim-notes resting on one uncorroborated primary before the next finding must route here instead (Cali's 2026-10-08 review of this capture names this exact claim as the one to hold back). Three claims were promoted to 30-notes/: claim-recommendation-induced-congestion-erodes-offer-likelihood-guarantees, claim-balanced-capacitated-nudging-guarantees-safe-and-near-optimal-matches, and claim-nyc-school-nudge-rct-significant-ranking-suggestive-matching-increase.

The fourth finding, held back by the cap: among treatment applicants who effectively applied to a program they were nudged to (25 such applicants), none were rejected; among control applicants who effectively applied to a program they would counterfactually have been recommended (28 such applicants), exactly one was rejected — an overall 98% acceptance rate, which the paper presents as deployment-scale validation of its central safety guarantee. Source: §6.2 / §7, direct quote in the capture: "No treatment students were rejected from a program they were nudged to (out of 25 effective applicants, i.e., not counting applicants who listed a nudged program but were accepted to another program they ranked higher), and 1 control student was rejected from a program they would have been nudged to (out of 28 effective applicants), for an overall 98% acceptance rate."

What's needed for corroboration, per sources.md's definition (a different author group and a different venue — not a revised version or press summary of the same preprint): either the ACM EC 2026 published/peer-reviewed version of this same paper (if its reported numbers hold up under review), or an independent replication/audit of the 2025-26 NYC deployment data. The paper's own pre-registration (AEA RCT Registry, trial 17146, https://www.socialscienceregistry.org/trials/17146) is itself a lead worth checking first — it may fix the sample-size and outcome-measure commitments in a way that lets a future session assess whether 25/28 "effective applicants" matches what was pre-registered, which is adjacent to but not the same as independent corroboration.

Candidate next move: when a session with fetch tools next touches this topic, check whether the ACM EC 2026 proceedings version has posted, and separately pull the AEA RCT Registry record.

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