The Convergence - An Army Mad Scientist Podcast
17. Bias, Behavior, and Baseball with Keith Law
In this latest episode of “The Convergence,” we talk with Keith Law, Senior Baseball Writer at The Athletic, which he joined in January 2020 after spending thirteen and a half years at ESPN. Before joining ESPN.com in June 2006, Keith spent just over four years as the Special Assistant to the GM of the Toronto Blue Jays, and prior to that had written for Baseball Prospectus. Keith Law is the author of Smart Baseball: The Story Behind the Old Stats That Are Ruining the Game, the New Ones That Are Running It, and the Right Way to Think About Baseball, published in April 2017; and The Inside Game: Bad Calls, Strange Moves, and What Baseball Behavior Teaches Us About Ourselves, published in April of this year.
In today’s podcast, Keith Law discusses the parallels between baseball and the Information Environment, how stats skew our thinking, and the implications of anchoring bias:
- The brain develops cognitive biases to manage extensive information. These biases lead information consumers to draw false conclusions and ignore conflicting data.
- Anchoring bias occurs when the brain latches onto the first piece of information, even if it is irrelevant to what you are working on.
- Creating radical change in a large, traditional organization, like the Army or a sports team, is best done through an individualized grassroots effort. Radical change, especially from people new to the organization, does not usually “win hearts and minds.”
- Information environments are full of persistent yet harmful beliefs. These need to be addressed, as those with these beliefs are often more aggressive about promoting their viewpoints.
- “Credibly foolish beliefs” benefit from a "first mover" advantage. These irrational narratives are rarely challenged by peers. Once these fallacies are adopted, they are difficult to let go.
- Data collection tools are becoming democratized, leading to individuals having more agency over information.
- To become a better writer, future analysts should work to become better readers, especially when it comes to reading books and articles outside the genre they write in. For people with a STEM background, being able to write well provides a personal competitive advantage for future employment.
Stay tuned to the Mad Scientist Laboratory for our next podcast with proclaimed Mad Scientist Dr. Claire Nelson, futurist, engineer, and activist, discussing a smart futures approach to forecasting, technologies and science in small island nations, and positive impacts on the future on 3 Sep 2020!
Brought to you by The Army Mad Scientist Initiative of The Convergence - An Army Mad Scientist Podcast