BROKEN EARTH: RESET: A Post-Apocalyptic Disaster Thriller!
BROKEN EARTH: RESET: A Post-Apocalyptic Disaster Thriller! - 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 BROKEN EARTH: RESET: A Post-Apocalyptic Disaster Thrill
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Review Analysis Results
Analysis Summary
The review set shows moderate authenticity concerns primarily due to the extremely skewed rating distribution (80% 5-star, 20% 4-star except one 3-star outlier) and the consistent 'U' verification status across all reviews, which may indicate unverified purchases. However, the presence of a legitimate 3-star review provides some credibility to the overall authenticity. The text patterns show reasonable variation in review IDs and the distribution isn't perfectly uniform, suggesting some organic characteristics. The moderate fake percentage reflects that while the rating distribution is suspiciously positive, there are enough authentic elements to prevent a higher fake score.
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.
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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 (4.00 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 (4.60 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.
