1.89 Seasons: A Baseball Experiment About Hiring and Human Judgment

This story was originally published on HackerNoon at: https://hackernoon.com/189-seasons-a-baseball-experiment-about-hiring-and-human-judgment. A 69-season baseball pilot tests when an individual’s own record becomes more predictive than their reference class, with careful caveats for hiring. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #predictive-modeling, #sports-analytics, #referential-evaluation, #lahman-baseball-database, #reference-class-prediction, #empirical-bayes, #irep, #resume-screening, and more. This story was written by: @elodieaishwarya. Learn more about this writer by checking @elodieaishwarya's about page, and for more stories, please visit hackernoon.com. The article uses public baseball data to test when an individual’s prior record beats reference-class prediction. It argues that hiring may need a similar shift away from static résumé categories, while clearly stating that the baseball number does not directly transfer to hiring.