Making causal inferences regarding human behaviour is difficult given the complex interplay between countless contributors to behaviour, including factors in the external world and our internal states ...

Causal inference is the process of determining whether a relationship between two variables is causal (i.e., one variable directly affects the other) rather than merely correlational. In simple terms, ...

Clean energy projects can be cancelled or delayed owing to challenges over the scope of environmental impact assessments (EIAs) and whether they account for direct biophysical impacts and second-order ...

Running example: What is the causal effect of health insurance access on health and financial outcomes? A rigorous, practical guide to modern causal inference methods for readers who already hold a ...

Great example of Schrödinger's Causal Inference. Title states multilingualism "protects" against accelerated aging. Discussion states that study design "does not establish causality" and "proper ...