Hot Hands, Streaks and Coin-flips: Numerical Nonsense in the New York Times
Dan Gusfield

TL;DR
This paper critiques recent media coverage on 'Hot Hands' and streaks, highlighting common misunderstandings in probability and statistics, and emphasizing the importance of accurate statistical reasoning in public discourse.
Contribution
It provides a critical analysis of media misrepresentations of probability concepts and offers educational insights for improving statistical literacy.
Findings
Media articles often misinterpret probability and streaks.
Public confusion about randomness and streaks is widespread.
Educational value in correcting misconceptions about probability.
Abstract
The existence of "Hot Hands" and "Streaks" in sports and gambling is hotly debated, but there is no uncertainty about the recent batting-average of the New York Times: it is now two-for-two in mangling and misunderstanding elementary concepts in probability and statistics; and mixing up the key points in a recent paper that re-examines earlier work on the statistics of streaks. In so doing, it's high-visibility articles have added to the general-public's confusion about probability, making it seem mysterious and paradoxical when it needn't be. However, those articles make excellent case studies on how to get it wrong, and for discussions in high-school and college classes focusing on quantitative reasoning, data analysis, probability and statistics. What I have written here is intended for that audience.
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Taxonomy
TopicsSports Analytics and Performance · Statistics Education and Methodologies · Data Analysis with R
