Research Library
Our central repository for chess cognition studies. While the platform is in its early alpha phase, this library tracks ongoing internal research and community submissions.
The "Tilt" Horizon: Mapping Emotional Decay After Severe Blunders
This study is currently analyzing 500,000 rapid games to quantify the "recovery window" required for players to return to baseline Elo performance after committing a -3.0 evaluation error.
Engine Correlation in Amateur Play (1200-1800 Elo)
We are aggregating move-time data to determine the "natural" accuracy cap for intermediate players. This research aims to establish a cleaner baseline for fair-play analysis tools.
Call for Papers
Are you researching chess psychology, history, or data science? We are accepting drafts and proposals for our inaugural publication cycle.
Submit Proposal