SONGMICS Pack of 50 Coat Hangers, Space-Saving Plastic Clothes Hangers, Non-Slip, 0.2 Inches Slim, 16.5 Inches Wide, 360° Swivel Silver Hook, Light Gray and Dark Gray UCRP20G50
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Review Analysis Results
Analysis Summary
The reviews show moderate authenticity concerns with several suspicious patterns. While most reviews appear genuine with specific product details and varied language, there are notable red flags: two reviews (RITNB8TR8AMSS and R3EH83MJ4K6S4H) appear duplicated verbatim, indicating potential manipulation. The rating distribution is heavily skewed toward 5-star reviews (14 out of 15), with only one 4-star review, creating an unnatural perfect score pattern. However, many reviews contain authentic-sounding details about space-saving features, non-slip grips, and specific use cases that suggest real user experiences. The presence of Spanish language reviews and varied writing styles provides some authenticity counterbalance. The duplicate reviews and perfect rating distribution elevate suspicion above normal levels but don't reach the threshold for high fake percentage.
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 (4.20 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 (4.93 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.
