VARIANCE

PODCAST · technology

VARIANCE

Variance explores the journeys of Data scientists, Product owners, Econometricians, Consultants specializing in the field of Experimentation and Observational Causal inference. Hosted by Pritul, a Data scientist who has spent 11 years scaling experimentation methods, infrastructure, and programs at scale at companies like Apple (Apple Podcasts), Peacock TV (streaming), ebay (ecommerce), and Yahoo (media), solving unique challenges of statistics and scalability.Each episode is with a new guest where topics like debates in statistical methods, history, unique perspectives.

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    What Baseball Taught Us About Automating Judgment

    MLB spent 7 years running a real-world experiment to automate the strike zone — and it nearly broke baseball. In this episode, we dig into what a Cornell research team found when they traced every design decision in the Automated Ball-Strike System: the strike zone was never what the rulebook said. What looks like a simple binary rule turned out to be 150 years of accumulated human judgment — and no sensor could measure that. If you build automated decision systems, this story is about you.Paper Reference: Inside Baseball: The Automated Ball-Strike System as an Object Lesson in Technological Rule Enforcement

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ABOUT THIS SHOW

Variance explores the journeys of Data scientists, Product owners, Econometricians, Consultants specializing in the field of Experimentation and Observational Causal inference. Hosted by Pritul, a Data scientist who has spent 11 years scaling experimentation methods, infrastructure, and programs at scale at companies like Apple (Apple Podcasts), Peacock TV (streaming), ebay (ecommerce), and Yahoo (media), solving unique challenges of statistics and scalability.Each episode is with a new guest where topics like debates in statistical methods, history, unique perspectives.

HOSTED BY

Pritul Patel

CATEGORIES

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