RankquantRQ
Lidia's Celebrate Like an Italian: 220 Foolproof Recipes That Make Every Meal a Party: A Cookbook, Cover may vary cover
global pct
61.2

Book · Lidia Bastianich · 2017

Lidia's Celebrate Like an Italian: 220 Foolproof Recipes That Make Every Meal a Party: A Cookbook, Cover may vary

Scored from 3 calibrated reviewers, each re-centered on their own rating baseline before the book is ranked. Cohort: 2010s books (1,613 books).

61.2%
Global percentile
vs. all 5,285 ranked books
63.3%
In-cohort percentile
2010s books · 1,613 books
55.8%
AI-adjusted percentile
3 calibrated reviewers, thin samples pulled to the mean

Summary

Lidia's Celebrate Like an Italian: 220 Foolproof Recipes That Make Every Meal a Party: A Cookbook, Cover may vary is a nonfiction cooking title. It is credited to Lidia Bastianich. It is shelved for adult readers. Publication year on the record is 2017.

The calibrated sample is 3 reviewers — the ones whose rating history varies enough to place their own average — out of 4 who rated it at least twice. The sample-size-adjusted percentile pulls a sample that thin toward the corpus average. The cohort it is ranked inside is the 2010s, 1,613 books wide.

How percentiles are computed.

How the score was built

We compare the reviewers of this book against every other book those same people reviewed. Each rating is scored relative to the reviewer's own baseline, so a reader who gives everything five stars is measured against their own five-star habit rather than against a stranger's. Every reviewer then counts the same, so the result is a calibrated consensus rather than a star average.

Global percentile
Where Lidia's Celebrate Like an Italian: 220 Foolproof Recipes That Make Every Meal a Party: A Cookbook, Cover may vary lands against every book we rank.
In-cohort percentile
The same comparison narrowed to its cohort — books published in the same decade, so a Victorian novel is judged against Victorian novels rather than against this year's releases. Ranked against 2010s books (1,613 books).
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 book 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 3.

Similar percentile

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