Film · 2009 · Films · 2000s
Knowing
Scored from 784 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2000s (7,847 peers).
Summary
A former MIT professor discovers a mysterious time capsule containing a list of numbers that precisely predict the dates and coordinates of major disasters throughout history. As he investigates the pattern, he realizes the predictions are eerily accurate and that catastrophic events are still to come. Desperate to understand the list's origins and prevent future tragedies, he races to decode the remaining numbers.
Knowing is a 2009 science fiction, thriller and drama film starring Nicolas Cage, Rose Byrne and Chandler Canterbury. Its country of origin is listed as the United States. Its certificate is PG-13. It runs 2h 1m. Alex Proyas directed it.
7,846 other films from the 2000s form the cohort it is ranked inside. Rotten Tomatoes carries a separate audience for the same title, 15,267 of whom clear the calibration test. The calibrated figure is built from 784 reviewers whose rating history varies enough to place their own average. A broader pool of 810 reviewers with two or more reviews feeds the raw-average track instead.
How the score was built
We compare the reviewers of this title against every other title those same people reviewed. Each review is scored relative to the reviewer's own baseline — a 7/10 from a hard grader sits well above their average, while a 7/10 from a generous grader sits below theirs. Every reviewer then counts the same, so the result is a calibrated consensus rather than a raw average.
- Global percentile
- Where Knowing lands against every title we rank.
- In-cohort percentile
- The same comparison narrowed to its cohort — titles of the same format released in the same decade. A 1970s film is judged against 1970s films, not against last year's streaming series. Ranked against Films · 2000s (7,847 titles).
- AI-adjusted percentile
- The same reviewer-normalized score, corrected for how much confidence the sample supports: thin samples are pulled toward the corpus average. Each title keeps the share n / (n + 53) of its measured distance from the average, where n is its calibrated-reviewer count, and the result is ranked on the same scale as the global percentile.53 is the median sample size across everything we rank. Here n is 784.
Cohort: Films · 2000s
