Economists propose AI auditing of pre-analysis plan adherence to curb p-hacking
paulnovosad · x · 2026-09-18
Harvard economist Jeffrey Clemens argues that auditing pre-analysis plan (PAP) adherence should become a widespread use case for AI in research. PAPs promise to reduce p-hacking, but enforcement is too time-intensive for the current peer review system — AI auditing could close that gap. This is part 1 of a 9-post thread.
More from Research
- XGEN unveils generative world simulation prototype; JING tops WBench leaderboard — SucceededMind · 2026-09-18
- Is the Hype Around Type Safe AI's Jev and RLCD Justified? A Skeptic's Take — Haghiri75 · 2026-09-18
- New academic spam: single-authored papers cold-pitching ARR service contributions — anmarasovic · 2026-09-18
- A 'Life Diary' Eval Could Be the Toughest Test Yet for Continual Learning in LLMs — JohnnyNi13 · 2026-09-18
- LLMs got good at text and stayed bad at tables — and it's not just a training-data problem — FamiliarSlide7685 · 2026-09-18
- IFM releases K2-Horizon-7B, a diffusion-augmented LLM claiming lossless 5,200 tokens/s — Zulfiqaar · 2026-09-18