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30 Days of Worldbuilding: An Author’s Step-by-Step Guide to Building Fictional Worlds (Step by Step Worldbuilding) cover
global pct
49.6

Book

30 Days of Worldbuilding: An Author’s Step-by-Step Guide to Building Fictional Worlds (Step by Step Worldbuilding)

Two parallel scores from 3 calibrated reviewers and 3 raw-average reviewers.

49.6%
Z · Global
49.6%
Z · Cohort
32.9%
Raw · Global
32.9%
Raw · Cohort
Two scores · one item
↑ critic-elevated · 17-pt gap
Z-normalized · global
49.6
Z-normalized · cohortpublication decade
49.6
Raw average · global
32.9
Raw average · cohortpublication decade
32.9

Z-normalized corrects for reviewer bias (every reviewer re-centered onto their personal scale). Raw average uses simple mean across the broader pool including stddev=0 reviewers. The 17-point gap is the rating-inflation signature for this title — discriminating reviewers liked it more than the casual crowd.

Where this book sits

0255075100

Z-normalized percentile · 5,285 ranked books

Mean reviewer z-score+0.133
Calibrated raw-mean rating4.67 /5
Broad raw-mean rating4.67 /5
90% CI-floor (z)-0.817
Reviewers (calibrated / broad)3 / 3

Summary

30 Days of Worldbuilding: An Author’s Step-by-Step Guide to Building Fictional Worlds (Step by Step Worldbuilding) sits at the 50th z-normalized percentile across 5,285ranked books. The z-percentile differs from a raw star average because Rankquant subtracts each reviewer's personal baseline before aggregating — so a reader who rates everything 5 stars carries less weight than one who rates discerningly. Raw-average percentile is 33; the gap between the two measures how much bias-correction changes this title's standing. How percentiles are computed.

Pipeline applied to this title

The math, in this order

01
Z-score per reviewer

3 reviewers with rating variance re-centered onto a personal z-scale.

02
Aggregate

Mean z = +0.133. Broad raw mean = 4.67/5.

03
CI-floor

90% CI-floor = -0.817. Thin samples penalized.

04
ECDF percentile

Global 49.6. Z-track and raw-track ranked separately.

Similar percentile

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