TV Series · 2022 · TV Series · 2020s
Archive 81
Scored from 602 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: TV Series · 2020s (3,070 peers).
Summary
An archivist hired to restore a collection of damaged videotapes becomes entangled in a mystery involving a reclusive woman and a dangerous cult. As he uncovers secrets hidden in the footage, the line between past and present blurs, pulling him into a dark conspiracy that questions the nature of reality itself.
Released in 2022, Archive 81 is a thriller, mystery and horror television series. Rebecca Sonnenshine created it. Its certificate is TV-MA. Its country of origin is listed as the United States. Jay Baruchel, Dina Shihabi and Martin Donovan head the billed cast. Episodes run about 50m.
Rotten Tomatoes carries a separate audience for the same title, 110 of whom clear the calibration test. The calibrated figure is built from 602 reviewers whose rating history varies enough to place their own average. A broader pool of 618 reviewers with two or more reviews feeds the raw-average track instead. 3,069 other television series from the 2020s form the cohort it is ranked inside.
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 Archive 81 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 TV Series · 2020s (3,070 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 602.
Cohort: TV Series · 2020s
