E12 LED Bulb 100w Equivalent 1200lm 2700K Led Candelabra Bulbs Warm White 10W T6 C7 Candle Light Bulbs for Ceiling Fan Pendant Lighting Salt Lamp Non-dimmable(5Pack)

E12 LED Bulb 100w Equivalent 1200lm 2700K Led Candelabra Bulbs Warm White 10W T6 C7 Candle Light Bulbs for Ceiling Fan Pendant Lighting Salt Lamp Non-dimmable(5Pack)

ASIN: B0F48QBR5D
Analysis Date: Oct 2, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.87
Original Rating
3.80
Adjusted Rating

Analysis Summary

This product shows moderate signs of review manipulation with several concerning patterns. The reviews are overwhelmingly positive (14 out of 15 are 5-star, with only one 4-star), creating an unnatural rating distribution. Multiple reviews contain nearly identical phrasing about 'crisp and bright' lighting and specific mentions of 'ceiling fans and pendant lights' appearing in duplicate reviews (review 2 and 9 are identical). Several reviews use exaggerated language ('seen from space,' 'truly the brightest bulbs I've ever been able to purchase') and repetitive product specifications (1200 lumens, 6000K, E12). However, there is some legitimate variation in writing styles and specific usage scenarios that suggest a mix of real and potentially incentivized reviews.

Review Statistics

93
Total Reviews on Amazon
-1.07
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.80 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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