OMED LED Edison Bulb Dimmable Amber Glass, 60 Watt Equivalent LED Light Bulbs Soft White, ST64 E26 Bulb 60W 2700K, Vintage Spiral Filament LED Bulbs with Teardrop Top, 600LM,UL Listed, 2 Pack

OMED LED Edison Bulb Dimmable Amber Glass, 60 Watt Equivalent LED Light Bulbs Soft White, ST64 E26 Bulb 60W 2700K, Vintage Spiral Filament LED Bulbs with Teardrop Top, 600LM,UL Listed, 2 Pack

ASIN: B0BW3MQSCS
Analysis Date: Oct 29, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.54
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural rating distribution (12 reviews: 9x5★, 1x4★, 1x3★, 1x2★), detailed negative feedback about product failures, and varied writing styles. Concerning patterns include: multiple reviews with 'The media could not be loaded' placeholder text, some overly enthusiastic language ('superrrrrrr'), and several brief, generic positive reviews that lack specific details. The verification badge (V) appears on all reviews, which is positive. The moderate fake percentage reflects that while most reviews appear genuine, there are likely some inauthentic positive reviews boosting the product rating.

Review Statistics

1,186
Total Reviews on Amazon
-0.64
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 (3.90 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 (4.54 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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