Super Bright E12 LED Corn Bulbs, 16W 1500LM Bulbs, Warm White 2800K Lights, CRI80+, 120W Incandescent Bulb Equivalent, E12 Base Non-Dimmable LED Lamp, 8 Pack

Super Bright E12 LED Corn Bulbs, 16W 1500LM Bulbs, Warm White 2800K Lights, CRI80+, 120W Incandescent Bulb Equivalent, E12 Base Non-Dimmable LED Lamp, 8 Pack

ASIN: B09T5KP9H2
Analysis Date: Oct 2, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.87
Original Rating
3.30
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural distribution of ratings (5, 4, 3, and 1-star reviews), detailed negative reviews with specific complaints about product failures, and varied writing styles. However, concerning patterns include: two reviews (RG2C04SFAMTD6 and R19WX2YT8HPX51) appearing twice with identical content, suggesting potential manipulation; several overly enthusiastic 5-star reviews with generic praise; and some reviews that feel slightly unnatural in their phrasing. The duplicate reviews are particularly problematic as they artificially inflate positive sentiment. Overall, while there are legitimate negative reviews that balance the positive ones, the duplication and some generic positive content suggest approximately 25-30% of reviews may be inauthentic.

Review Statistics

421
Total Reviews on Amazon
-0.57
Rating Difference

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 (3.30 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 (3.87 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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