Is AI Flooding Medical Journals With 'Meaningless' Research?

The AI Discourse in Academia is Toxic. It Doesn’t have to be.

Scientific citations as an overwhelmed communication channel | Statistical Modeling, Causal Inference, and Social Science

How citations ruined science

How to reduce sampling error in species population monitoring: from theory to methods

Why quantitative understanding of effect sizes matters, even if all you care about is the presence of the effect | Statistical Modeling, Causal Inference, and Social Science

Why your DAG should probably incorporate sampling and measurement processes

He fit the same statistical models with three different software and got much different estimates. It’s another dimension of the multiverse. | Statistical Modeling, Causal Inference, and Social Scie...

Causal Analysis Reveals That Public Access to Land Can Shape Our View of Species' Geographic Distributions

Uptake and Implementation of Multiverse-style Analyses Across 613 Studies

Sage Journals: Discover world-class research

The P-Value Got a Lecture. It Needed a Lookup Table.

Brazil’s highland forest has been shaped by climate change and Indigenous people for 6,000 years

The Future of Peer Review

QED — The most compelling preprints of 2025

Treating AI review like the contentious policy design problem it is | Statistical Modeling, Causal Inference, and Social Science

No, it’s not The Incentives—it’s you

David Edgerton on Historical Analogies, Technology, and AI

Survey Statistics: double-plus robustness | Statistical Modeling, Causal Inference, and Social Science

Robin Boyd: Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data