Baseball Needs Both Data-Driven Analytics and Human Risk-Taking to Remain Compelling
Source: Louisa Thomas. "Baseball Is Better with a Little Risk | The New Yorker." October 4, 2026. www.newyorker.com
The Gist
The author argues that while baseball's data revolution has made the game smarter and helped underdog teams compete, something is lost when every decision is driven purely by statistics. She says the game is better—and more meaningful to watch and play—when there's still room for human trust, risk, and individual heroics, like a pitcher defying the odds or a manager sticking with a player in a big moment.
Conclusion
Baseball is best when data-driven analytical approaches are balanced with trust in human judgment, risk, and individual performance, rather than optimized purely according to statistical models.
Premises
- Analytics-driven decisions (bullpen games, early pitcher removal, matchup-based relief) have produced real competitive success for teams, including small-market teams with limited payrolls.
- Purely data-driven decisions can still fail in practice, as shown by the Red Sox pulling Sonny Gray despite his strong performance, leading to a loss, while the Yankees' more starter-reliant approach succeeded.
- Players and fans experience an emotional, human dimension to the game—trust, competitiveness, and the drama of an individual pushing limits—that statistics alone cannot capture or satisfy.
- The most memorable and meaningful moments in the season (e.g., Misiorowski's record-setting velocity) come from individual human feats rather than optimized statistical management.
- Even proponents of analytics acknowledge that data should inform rather than serve as an immutable law, leaving room for human judgment and risk.
- Teams that balance data with trust in their players (like the Brewers) demonstrate that analytical success and human-centered decision-making are not mutually exclusive.
Assumptions
- The purpose of watching and playing baseball extends beyond winning efficiently to include emotional and aesthetic experience.
- There is an inherent tension between fully optimizing decisions via data and preserving the human, risk-taking element of sport.
- Fans and players value watching individuals take risks or defy odds, even when it is not the statistically optimal choice.
- A manager's ability to build trust with players has value that is not fully captured by win-probability models.
- The sport's long-term appeal depends on maintaining a balance between analytical rigor and human unpredictability.