Publication expectations in neurosurgery residency selection have intensified as traditional objective metrics have receded, creating a zero-sum "arms race" that prioritizes volume over impact. Drawing on literature from medical education, psychology, and game theory, this article examines how raw publication counts function as imperfect signals of merit. They disproportionately disadvantage applicants without access to robust research infrastructure, compress timelines, incentivize low-impact output, and contribute to anxiety and burnout. We propose a framework to realign incentives toward rigor, equity, and clinical relevance. Key recommendations include adopting quality-weighted scoring systems for scholarly work (e.g., the evolving Arms Race Control Score), capping the number of research items applicants may report, and requiring concise statements that define an applicant's scholarly trajectory. Additional measures include formally recognizing impactful nontraditional contributions (e.g., quality improvement projects, open-source tools, patents, device innovations), piloting objective assessments relevant to neurosurgery (such as simulation-based surgical skills and standardized subinternship milestones), and committing to longitudinal research evaluating whether pre-residency publications predict training and career outcomes. Implemented collectively and supported by shared program director guidelines, these reforms could shift focus from publication counts to meaningful scholarship, preserve opportunities for late-deciding applicants and those at less-resourced institutions, and strengthen the scientific foundation of residency selection. Neurosurgery is uniquely positioned to lead this transition and set a precedent for the broader medical community.
Keywords: Academic; Applicants; Applications; Arms race; Education; Medical student; Research; Residency match.
Copyright © 2026 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Congress of Neurological Surgeons.