← All people
Nate Silver

People · Systems Library

Nate Silver

Nate Silver is a statistician, writer, and forecaster known for work on prediction, probability, and data journalism.

Visit their website ↗

Nate Silver is associated with work that helps practitioners understand how knowledge is created, structured, shared, or acted upon in complex systems.

Their work contributes to the Knowledge Flow library because it offers concepts, practices, or research traditions that make invisible thinking more visible.

Across the library, this person helps connect individual cognition, social coordination, technical design, and institutional behavior to the larger question of how understanding moves through systems.

Relevance to Knowledge Flow

Silver supports Knowledge Flow by teaching probabilistic judgment and model humility.

In the library

Work by Nate Silver

Book

The Signal and the Noise

Why So Many Predictions Fail--but Some Don't

Better prediction depends on separating meaningful signals from overwhelming noise. The Signal and the Noise explores forecasting, probability, uncertainty, and the limits of models.

Knowledge Flow

  • Designing Learning Loops