Film · 2007 · Films · 2000s
Live Free or Die Hard
Scored from 742 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2000s (7,847 peers).
Summary
Detective John McClane must stop a cyber-terrorist attack on the nation's computer infrastructure. As a disgruntled hacker and his team launch coordinated digital assaults, McClane finds himself thrust into a battle against both the threat and those who underestimate the danger.
Len Wiseman directed Live Free or Die Hard, an action and thriller film from 2007. It runs 2h 8m and carries a PG-13 certificate. It was made in the United States. It stars Bruce Willis, Timothy Olyphant and Justin Long.
742 IMDb reviewers rate with enough spread for a personal baseline to be measured, and those are the ones the calibrated score reads; a separate, broader pool of 765 reviewers with at least two reviews each feeds the raw-average track. 7,846 other films from the 2000s form the cohort it is ranked inside. A second review pool sits behind it as well: 80,916 Rotten Tomatoes reviewers clear the same calibration test, and Rankquant scores them separately.
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 Live Free or Die Hard 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 742.
Cohort: Films · 2000s
