methodology

understanding the moviethon index

The Moviethon Index is a daily recalculated performance score designed to measure cultural momentum across films, actors, and genres. It combines structured community participation signals with external context and time-weighted behavior.

core components

rating quality. Bayesian-adjusted rating quality to reduce low-sample distortion and prioritize sustained, credible scoring patterns.

engagement velocity. Directional movement from rating and discussion activity, measured through short-window versus baseline acceleration.

recency weighting. Recent behavior receives greater influence to keep the index focused on current momentum rather than historical peaks.

external signals. External popularity context is normalized and applied as a secondary signal, not a dominant one.

time-series architecture

Index values are recomputed daily and persisted as historical snapshots. This enables rank tracking, volatility classification, and transparent trend analysis over multiple windows without relying on ad hoc recalculations.

volatility and hierarchy

Volatility is derived from trailing index variability and classified as stable, moderate, or high. Volatility reflects movement profile, not quality.

Moviethon uses a hierarchical model where film indices are primary and actor/genre indices are derived from those film-level signals.

what the index is not