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Improving Decision-Making Through Statistical Models and Calibration Training
This chapter delves into the importance of measurement, statistical modeling, and replication in science, focusing on the replication crisis in psychology and social sciences. It introduces the Transparent Replications project aimed at enhancing research quality and promoting open science. The discussion compares human intuition to statistical models in various domains, emphasizing how models consistently outperform human judgment due to personal inconsistencies and biases.