RankquantRQ
Finding Your Perfect Soulmate - Embrace True Love without Compromise: How to Open Your Heart, Manifest Your Ideal Partner, and Apply the Law of Attraction cover
global pct
20.2

Book · Maria Reed · 2024

Finding Your Perfect Soulmate - Embrace True Love without Compromise: How to Open Your Heart, Manifest Your Ideal Partner, and Apply the Law of Attraction

Scored from 6 calibrated reviewers, each re-centered on their own rating baseline before the book is ranked. Cohort: 2020s books (1,903 books).

20.2%
Global percentile
vs. all 5,285 ranked books
18.8%
In-cohort percentile
2020s books · 1,903 books
15.0%
AI-adjusted percentile
6 calibrated reviewers, thin samples pulled to the mean

Summary

Finding Your Perfect Soulmate - Embrace True Love without Compromise: How to Open Your Heart, Manifest Your Ideal Partner, and Apply the Law of Attraction, by Maria Reed, is a 2024 nonfiction title. It is shelved for adult readers.

The calibrated sample is 6 reviewers — the ones whose rating history varies enough to place their own average — out of 13 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 Finding Your Perfect Soulmate - Embrace True Love without Compromise: How to Open Your Heart, Manifest Your Ideal Partner, and Apply the Law of Attraction 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 6.

Similar percentile

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