RankquantRQ
Peace, Love, and Pasta: Simple and Elegant Recipes from a Chef's Home Kitchen cover
global pct
86.1

Book · Scott Conant · 2021

Peace, Love, and Pasta: Simple and Elegant Recipes from a Chef's Home Kitchen

Scored from 4 calibrated reviewers, each re-centered on their own rating baseline before the book is ranked. Cohort: 2020s books (1,903 books).

86.1%
Global percentile
vs. all 5,285 ranked books
85.4%
In-cohort percentile
2020s books · 1,903 books
86.6%
AI-adjusted percentile
4 calibrated reviewers, thin samples pulled to the mean

Summary

Peace, Love, and Pasta: Simple and Elegant Recipes from a Chef's Home Kitchen is a nonfiction business and economics title. It is shelved for adult readers. It is credited to Scott Conant. Publication year on the record is 2021.

The calibrated sample is 4 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 2020s, 1,903 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 Peace, Love, and Pasta: Simple and Elegant Recipes from a Chef's Home Kitchen 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 2020s books (1,903 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 4.

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