Ascher 60 Watt Equivalent, E26 LED Filament Light Bulbs, Warm White 2700K, Non-Dimmable, Classic Clear Glass, A19 LED Light Bulb with 80 CRI, Pack of 6

Ascher 60 Watt Equivalent, E26 LED Filament Light Bulbs, Warm White 2700K, Non-Dimmable, Classic Clear Glass, A19 LED Light Bulb with 80 CRI, Pack of 6

ASIN: B07G46X3K2
Analysis Date: Oct 29, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.93
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with several concerning elements, though many reviews appear genuine. Key findings: 1) Extremely high 5-star concentration (15/16 reviews are 5-star, 1 is 4-star) with no negative feedback, which is unusual for any product; 2) Multiple reviews contain generic, repetitive praise without specific details ('great price', 'no problems', 'excellent lightbulbs'); 3) Several reviews show suspiciously similar language patterns focusing on price and basic functionality; 4) However, many reviews contain specific, detailed experiences with light bulb comparisons, technical specifications (lumens, wattage, color temperature), and real-world usage scenarios that suggest legitimate purchases. The presence of both highly detailed and very generic reviews creates a mixed authenticity profile.

Review Statistics

4,831
Total Reviews on Amazon
-0.73
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 (4.93 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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