Open Access Short Communication

Will Rogers Paradox in Basketball Analytics

Ricardo Valerdi*

Department of Systems & Industrial Engineering, University of Arizona, Tucson, Arizona, USA

Corresponding Author

Received Date: May 19, 2021;  Published Date: May 28, 2021


Statistics is full of paradoxes, logically self-contradictory statements that run contrary to one’s expectation. Here we explore Will Rogers Paradox which presents itself when changes in criteria for assigning data elements to a group can produce spurious results even though the values of the individual data elements have not changed. An example in basketball analytics is provided to illustrate the application of the paradox.

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