Capital Allocators – Inside the Institutional Investment Industry Cade Massey – People Analytics in Investing and the NFL (Capital Allocators, EP.190)
Apr 19, 2021
Cade Massey, a Professor at the Wharton School, specializes in judgment under uncertainty and people analytics. He shares fascinating insights on predicting performance, particularly in NFL player evaluations. The discussion covers the importance of data in talent assessment and overcoming cognitive biases in decision-making. Cade also delves into his experiences with Google and Teach for America, highlighting evolving strategies in sports analytics. Valuable advice for NFL draft allocators rounds out this engaging conversation.
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Data Collection in Organizations
- Begin collecting data on your processes, even if it takes years to yield results.
- Record judgments, decisions, and track outcomes for future analysis.
Data in NFL Player Selection
- In the NFL, readily available data includes college performance, combine results, and character assessments.
- Character assessment, while crucial, is difficult to quantify and often relies on subjective opinions from scouts and interviews.
The NFL Combine Process
- The NFL combine involves physical tests and interviews, providing teams with data and subjective impressions.
- Massey questions the predictive value of these interviews, despite significant resources allocated to them.
