Ascher Vintage LED Edison Bulbs, 6W, Equivalent 60W, Non-Dimmable, High Brightness Warm White 2700K, ST58 Antique LED Filament Bulbs with 80+ CRI, E26 Medium Base, Clear Glass, Pack of 4

Ascher Vintage LED Edison Bulbs, 6W, Equivalent 60W, Non-Dimmable, High Brightness Warm White 2700K, ST58 Antique LED Filament Bulbs with 80+ CRI, E26 Medium Base, Clear Glass, Pack of 4

ASIN: B07GD8BS5B
Analysis Date: Oct 29, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.87
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with a 28% estimated fake percentage. Analysis reveals: 1) Extremely high 5-star concentration (15/17 reviews, 88%) with only two 4-star reviews and no lower ratings, creating an unnatural distribution; 2) Multiple reviews use nearly identical phrasing about 'warm vintage glow' and 'cozy atmosphere' suggesting coordinated language; 3) Several reviews are overly generic with minimal product-specific details ('Perfect bulbs for its purpose'); 4) One review in Spanish stands out as potentially inauthentic given the otherwise English-only content. However, many reviews contain specific installation details (porch lights, bedroom, bathroom) and reasonable product experiences that appear genuine. The verification rate is 100% (all marked 'V') which is typical but doesn't guarantee authenticity.

Review Statistics

15,660
Total Reviews on Amazon
-0.67
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 (4.87 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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