Book · Fiona Watt · 2024
Wind-up Train: A Toy and Book Combo with a Steam Train Adventure Through Cities, Mountains, and Rivers, and a Visit to a Train Museum
Scored from 4 calibrated reviewers, each re-centered on their own rating baseline before the book is ranked. Cohort: 2020s books (1,903 books).
Summary
Wind-up Train: A Toy and Book Combo with a Steam Train Adventure Through Cities, Mountains, and Rivers, and a Visit to a Train Museum is credited to Fiona Watt. It is catalogued as a children's title. It was published in 2024.
4 reviewers here rate with enough spread for a personal baseline to be measured, against 5 in the broader raw-average pool. The sample-size-adjusted percentile discounts a sample that size. Its in-cohort standing is measured against the other 1,902 books published in the 2020s.
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 Wind-up Train: A Toy and Book Combo with a Steam Train Adventure Through Cities, Mountains, and Rivers, and a Visit to a Train Museum 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.
Similar percentile
