Calculation and quantification have been critical features of modern societies, closely linked
to science, markets, and administration. In the past thirty years, the pace, purpose, and …

Null hypothesis significance testing (NHST) has several shortcomings that are likely
contributing factors behind the widely debated replication crisis of (cognitive) neuroscience …

Misinterpretation and abuse of statistical tests, confidence intervals, and statistical power
have been decried for decades, yet remain rampant. A key problem is that there are no …

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers'
knowledge of and confidence in statistical modeling. Reflecting the need for even minor …

We have empirically assessed the distribution of published effect sizes and estimated power
by analyzing 26,841 statistical records from 3,801 cognitive neuroscience and psychology …

A plethora of different theories, models, and concepts make up the field of community
ecology. Amid this vast body of work, is it possible to build one general theory of ecological …

Background Despite its popularity as an inferential framework, classical null hypothesis
significance testing (NHST) has several restrictions. Bayesian analysis can be used to …

Since September 11, 2001, the imagination of" low probability, high consequence" events
has become a distinctive feature of contemporary politics. Uncertain futures—devastation by …

This book builds on and is a sequel to our book Targeted Learning: Causal Inference for
Observational and Experimental Studies (2011). Since the publication of this first book on …

Replicability of findings is at the heart of any empirical science. The aim of this article is to
move the current replicability debate in psychology towards concrete recommendations for …