Great Eagle A19 LED Light Bulbs 60 Watt Equivalent - UL Listed - Cool White 4000K LED Light Bulb - 9W Non Dimmable, 800 Lumens (6 Pack)

Great Eagle A19 LED Light Bulbs 60 Watt Equivalent - UL Listed - Cool White 4000K LED Light Bulb - 9W Non Dimmable, 800 Lumens (6 Pack)

ASIN: B098TC4F6T
Analysis Date: Oct 29, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.73
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural rating distribution (mostly 5-star but with meaningful 4-star and 3-star reviews), detailed usage scenarios that feel authentic (bathroom vanity, ceiling fans, porch lighting), and specific technical mentions (4000K, 5000K, wattage equivalents). However, concerning patterns include: multiple reviews with overly enthusiastic language and marketing-style phrasing, several reviews that read like product descriptions rather than personal experiences, and some generic praise without specific usage context. The verification badge presence on all reviews is positive, but the high concentration of 5-star reviews (12 out of 15) with similar enthusiastic tone raises moderate suspicion of potential incentivized or artificial content.

Review Statistics

33,469
Total Reviews on Amazon
-0.63
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 (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 (4.73 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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