Film · 2022 · Films · 2020s
The Greatest Beer Run Ever
Scored from 134 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2020s (7,930 peers).
Summary
In 1967, a New York merchant marine named Chickie Donohue decides to travel to Vietnam to track down his neighborhood buddies serving in the war and deliver them cans of American beer as a morale boost. As he hops between units across the country, what begins as a lighthearted mission turns into a sobering firsthand look at the realities of combat and the war's true cost.
The Greatest Beer Run Ever (2022) is a film IMDb files under the adventure, comedy and drama genres.
Its in-cohort standing is measured against the other 7,929 2020s films, not against the whole corpus. A second review pool sits behind it as well: 106 Rotten Tomatoes reviewers clear the same calibration test, and Rankquant scores them separately. 134 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 139 reviewers with at least two reviews each feeds the raw-average track.
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 The Greatest Beer Run Ever 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 · 2020s (7,930 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 134.
Cohort: Films · 2020s
