![Power Stop 16-1212 Rear Z16 Ceramic Brake Pads For 2013-2018 Lexus ES300h | 2007-2018 ES350 | 2008-2018 Toyota Avalon | 2007-2022 Toyota Camry [Application Specific] | 2006-2018 Toyota Rav4](https://m.media-amazon.com/images/I/71vMj-VkfxL._AC_SL1200_.jpg)
Power Stop 16-1212 Rear Z16 Ceramic Brake Pads For 2013-2018 Lexus ES300h | 2007-2018 ES350 | 2008-2018 Toyota Avalon | 2007-2022 Toyota Camry [Application Specific] | 2006-2018 Toyota Rav4
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Review Analysis Results
Analysis Summary
The review set shows mixed authenticity signals. Positive indicators include: 100% verified purchase status, detailed mechanical descriptions in some reviews (R3HC5RW6IZQEOR, R23TH9S2CC558Y), and specific installation notes. However, concerning patterns include: extremely high 5-star concentration (14/15 reviews are 5-star, 93%), multiple overly brief generic reviews ('Good quality', 'Good', 'Service rapide'), and several reviews with marketing-like language praising the brand extensively (RSB2BCNW6GE0X). The presence of foreign language reviews (Arabic, Spanish) without translation context and the 'Why did you pick this product' prompt response in R38WE5UP8ICEL1 suggest potential incentivized reviewing. The aggregate analysis suggests a moderate but not overwhelming fake review percentage, likely in the 25-30% range.
Review Statistics
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 (4.92 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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