Apr 19, 2021
Cade Massey is a Professor at the Wharton School where his
research focuses on judgment under uncertainty, or how, and how
well, people predict what will happen in the future. In particular,
he studies people analytics, or how to predict who will perform
well in the future. Cade is the co-host of the “Wharton Moneyball”
podcast and for many years, he’s studied talent selection at the
NFL draft, which frames our discussion in advance of this year’s
draft next week.
Our conversation starts with Cade’s work in the NFL with data,
character assessment, and performance measurement. We turn to
decision-making lessons, including the importance of independence,
understanding objectives, tracking decisions, and overcoming
algorithm aversion. Along the way, we touch on stories from his
work with Google, Wharton’s MBA Admissions, and Teach for America.
We close with advice for allocators and insights for this year’s
NFL draft.
Learn More
Subscribe: Apple | Spotify | Google
Follow Ted on Twitter at @tseides or LinkedIn
Subscribe Monthly Mailing List
Read the Transcript
Subscribe: Apple | Spotify | Google
Follow Ted on Twitter at @tseides or LinkedIn
Subscribe Monthly Mailing List
Read the Transcript