The Wandering Inn: Book One in The Wandering Inn Series

The Wandering Inn: Book One in The Wandering Inn Series

ASIN: B07G4MX1Z4
Analysis Date: Sep 30, 2025

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.88
Original Rating
4.40
Adjusted Rating

Analysis Summary

The reviews for 'The Wandering Inn' show a moderately low fake percentage of 18%. All 8 reviews are 4-5 stars with no negative reviews, which is somewhat suspicious but plausible for a popular web serial with dedicated fans. The reviews demonstrate good product knowledge, specific references to the series format (web serial), author (Pirateaba), and genre elements (LitRPG). Reviewers mention reading multiple books in the series and provide detailed emotional reactions. However, the uniformly positive tone and several reviews mentioning reading multiple volumes could indicate some coordinated promotion. The language is generally natural with varied sentence structures and personal anecdotes, though a few reviews show slightly exaggerated enthusiasm that could be artificial.

Review Statistics

About Review Data Collection

We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.

4,659
Total Reviews on Amazon
8
Reviews Analyzed
7
Genuine Reviews
1
Fake Reviews
-0.48
Rating Difference

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Price Analysis

Price analysis pending

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Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

Adjusted Rating Explained

The adjusted rating (4.40 stars) represents what we estimate this product's rating would be if fake reviews were removed. This product's adjusted rating is lower than Amazon's displayed rating (4.88 stars), suggesting positive fake reviews may be inflating the score.

How We Detect Fake Reviews

Our AI analyzes multiple factors: language patterns (generic vs. specific), reviewer behavior (history, timing), temporal anomalies (review clusters), verification status, sentiment authenticity, and statistical outliers. No single factor determines a review is fake - we look at the combination of signals.

Important Limitations

No automated system is perfect. Sophisticated fake reviews can evade detection, and some genuine reviews may be incorrectly flagged. Use this analysis as one data point in your purchasing decision, not the only factor. Reading actual review content yourself is always valuable.

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