Measurement, Significance, and Humanomics

McCloskey has criticized confusing statistical significance with substantive importance. A small p-value does not establish a large, meaningful, well-identified, or replicable effect. Her broader humanomics joins quantitative evidence with history, language, ethics, and lived meaning. The aim is economics that measures carefully without reducing persons to variables detached from culture and purpose.