WRECKAGE RIVER: AN APOCALYPTIC THRILLER! (THE WRECKAGE SERIES Book 2)

WRECKAGE RIVER: AN APOCALYPTIC THRILLER! (THE WRECKAGE SERIES Book 2)

WRECKAGE RIVER: AN APOCALYPTIC THRILLER! (THE WRECKAGE SERIES Book 2) - Kindle edition by Barker, Barbara J. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading WRECKAGE RIVER: AN APOCALYPTIC THRILLER! (TH

ASIN: B0F335WWXL
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
4.80
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate concerns with a 25% fake percentage estimate. Analysis reveals: (1) Extremely high 5-star concentration (90% 5★, 10% 4★) with no critical reviews, creating an unnatural rating distribution; (2) All reviews are unverified (U) purchases, which statistically correlates with higher fake review rates; (3) While no review text is available for detailed linguistic analysis, the perfect rating pattern combined with 100% unverified status suggests potential review manipulation. However, the presence of some 4-star reviews provides slight credibility, preventing a higher fake percentage assessment.

Review Statistics

571
Total Reviews on Amazon
-0.60
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade C mean?

This product has moderate review authenticity concerns. A notable portion of reviews show suspicious patterns. Consider reading reviews carefully before purchasing.

Adjusted Rating Explained

The adjusted rating (4.20 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 (4.80 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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