SYLVANIA ECO LED A19 Light Bulb, 60W Equivalent, Efficient 9W, 7 Year, 750 Lumens, Non-Dimmable, Frosted, 5000K Daylight, Pack of 24 (40987)
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Review Analysis Results
Analysis Summary
The review set shows a moderately suspicious pattern with several concerning elements. The product has an extremely high 5-star rating concentration (14 out of 16 reviews are 5-star, 87.5%), which is unusually high even for legitimate products. Several reviews exhibit classic fake review characteristics including overly generic praise ('Love these', 'Great bulbs'), repetitive phrasing about brightness and quality, and minimal substantive content. However, there are also authentic-seeming reviews with specific usage scenarios, mixed language reviews (Spanish/English), and critical feedback about bulb failures and packaging issues. The presence of 4-star reviews with genuine complaints and detailed negative experiences provides some credibility balance. The review timing pattern and verification badge distribution appear normal.
Review Statistics
Price Analysis
This SYLVANIA LED pack is competitively priced in the mid-range with strong consumer ratings, making it a reliable choice for bulk lighting needs. Expect Amazon's price to be below typical retail MSRP. Buy when discounts drop the pack below $30 for optimal value.
MSRP Assessment
Market Position
Buying Tips
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 (4.87 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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