Orange Wave Oreiller Plume 60x60 - Coussin de Luxe 60x60 cm en Duvet et Plumes Naturelles, 1000g de Confort Moelleux et Ergonomique Oreiller pour Un Soutien Parfait et des Nuits Douces et Agréables
Review Analysis Results
Analysis Summary
The review set shows moderate authenticity concerns with several suspicious patterns. Key findings: 1) Duplicate reviews detected (R2LW18Q9UDR8C3 and R30FWZW9X1DU1K appear twice with identical text), 2) High rating concentration (12/14 reviews are 5-star, 2 are 4-star, no lower ratings), 3) Multiple reviews use similar enthusiastic language about cervical support and sleep improvement, 4) Several reviews are very brief and generic ('Super achat aucun regrets', 'BONNE QUALITÉ'). However, there is some diversity in feedback, including mixed comments about firmness and value, and the presence of verified purchases provides some legitimacy. The duplicate reviews are particularly concerning for manipulation attempts.
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.
Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.
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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 (4.10 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.
