Film · 2010 · Films · 2010s
Dinner for Schmucks
Scored from 275 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2010s (13,059 peers).
Summary
An ambitious financial executive is invited to his boss's monthly dinner, where guests compete to bring the most eccentric oddball as entertainment. He recruits Barry, a cheerful IRS employee who builds elaborate dioramas with taxidermied mice, but Barry's well-meaning bumbling quickly unravels his career, relationship, and life in escalating chaos.
Released in 2010, Dinner for Schmucks is a comedy film. Its comedy subtype is Goofy.
A second review pool sits behind it as well: 5,665 Rotten Tomatoes reviewers clear the same calibration test, and Rankquant scores them separately. Its in-cohort standing is measured against the other 13,058 2010s films, not against the whole corpus. 275 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 283 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 Dinner for Schmucks 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 · 2010s (13,059 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 275.
Cohort: Films · 2010s
