Scott examines the Metaculus Threat To Democracy Index, which uses crowdsourced forecasting to measure democratic health, discussing its advantages over traditional expert-based indices and its vulnerabilities to manipulation and selection bias.
Longer summary
Scott discusses the Metaculus Threat To Democracy Index, a new approach to measuring American democratic health using crowdsourced forecasting rather than expert opinion. The index aggregates 153 questions about democratic threats (like election cancellations or ballot access) weighted by forecasters' historical accuracy. Scott analyzes its advantages—transparency, resistance to ideological bias, and ability to measure probabilities rather than binary outcomes—alongside its risks, including susceptibility to crowd attacks, bot manipulation, and question selection bias. He finds the recent data somewhat reassuring (showing no expected worsening during Trump's term) and suggests the index will become more valuable over time as question biases become less relevant.
Shorter summary