Data Story

The Casting Call

A call sheet + gravity board that asks whether star power pulls audience response like physics.

filmimdbtmdbcastaudiencestar-power
Dataset scope
991
films
1922–2023
years
Top 5
billed
IMDB + TMDB
sources
Star-meter is a proxy. The chart is designed to surface the weird cases: low-gravity breakouts, and high-gravity disappointments.
Loading casting call
Hypothesis

Higher cast gravity predicts higher popularity and vote volume, but low-gravity breakouts reveal discovery narratives.

Question: Is cast star-meter a better predictor of audience response than billing order alone?

Method: Compute cast gravity from top-billed star-meter weighted by billing order, then compare against popularity and votes by decade.

Prediction: High gravity clusters tend to have higher popularity/vote volume, with notable low-gravity breakouts.

Test: Compare top/bottom quartiles of cast gravity and inspect the residual outliers.

Narrative Arc
Act I

The call sheet assembles, names pinned in billing order.

Act II

Star-meter glow builds into a gravity score; the board fills with points.

Act III

Outliers step forward: loud applause without famous casts — or famous casts with quiet rooms.

Datasets
  • imdb.film_cast
  • imdb.people
  • tmdb.movies
  • 01_casting_call.json
Limitations
  • Star-meter values can be noisy across time and scraping cadence.
  • Popularity is not stable across eras or regions.
  • Billing order doesn’t capture performance or screen time.
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