stat papers | Gist.Science

Variance-weighted social power bounds both the cost and the detectability of steering a networked consensus

This paper demonstrates that a network's variance-weighted social power (F) simultaneously dictates the minimum information cost required to steer a group's consensus to a false value and the difficulty of detecting such an attack, revealing that concentrating influence to improve collective accuracy inherently increases the network's vulnerability to undetectable manipulation.

Daniel Khan2026-06-24

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Sketch-FORCE: Sub-quadratic Streaming Robust Covariance Estimation for Extreme Dimensions

This paper introduces Sketch-FORCE, a sub-quadratic streaming algorithm that combines robust scale tracking with Frequent Directions matrix sketching to enable efficient, memory-light covariance estimation for high-dimensional data under heavy-tailed contamination and adversarial outliers.

Sooyoung Jang, Changbeom Choi2026-06-24

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A Proportionate Validation Framework for AI-Assisted Data Extraction in Evidence Synthesis: A Methodological Evaluation using Elicit Within a Scoping Review in Health.

This study evaluates a proportionate validation framework for AI-assisted data extraction using Elicit within a health scoping review, demonstrating that high agreement between AI and human extraction (AC2 = 0.960) supports the use of structured human-in-the-loop workflows as a reliable and scalable alternative to full dual manual extraction.

Siân Shaw, Gillian Janes, Sophie Shaw, Isobel McMillan, Kate Cook, Oladepo Akinlotan, Jason Williams, Dan Robbins2026-06-24

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Estimating Nonlinear and Heterogeneous Determinants of Crash Severity Using Causal Machine Learning

Using causal machine learning on over 500,000 UK crash records, this study estimates that roads with speed limits of 50 mph or higher increase the likelihood of fatal or serious accidents by approximately 6–7 percentage points, with these effects being most pronounced during daytime under dry and favorable conditions.

Nakachew Assefa Kebede, Biruhi Tesefaye Abeje, Hassan M. Al-Ahmadi2026-06-24

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