4 Pack LED Edison Bulbs, 4W Edison Light Bulbs, Antique LED Filament Bulbs 40W Equivalent, E26 Base, T45 LED Bulb with Clear Glass, Warm White 2700K, Non Dimmable, Great for Home, Bedroom, Office

4 Pack LED Edison Bulbs, 4W Edison Light Bulbs, Antique LED Filament Bulbs 40W Equivalent, E26 Base, T45 LED Bulb with Clear Glass, Warm White 2700K, Non Dimmable, Great for Home, Bedroom, Office

ASIN: B0CDB9M4R6
Analysis Date: Oct 29, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.85
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with a 28% estimated fake percentage. Analysis reveals: 1) Strong positive bias with 12/14 reviews at 4-5 stars (86% highly positive), 2) Multiple reviews contain generic, repetitive language about color/brightness with minimal detail, 3) Several reviews reference specific use cases (Halloween, bug lights, closet lighting) that appear genuine, 4) One review mentions product failure (flickering bulb) which adds credibility, 5) Review lengths vary appropriately with some detailed experiences and some brief comments. The mix of specific usage scenarios and occasional negative feedback suggests mostly authentic reviews with some potential incentivized or low-effort reviews.

Review Statistics

1,090
Total Reviews on Amazon
-0.65
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 (4.20 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 (4.85 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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