Vintage LED Edison Bulbs 6W, Equivalent 60W Incandescent, Warm White 2700K, ST58 Antique LED Filament Bulbs with 90+ CRI, E26 Medium Base,Dimmable, Clear Glass, Pack of 6

Vintage LED Edison Bulbs 6W, Equivalent 60W Incandescent, Warm White 2700K, ST58 Antique LED Filament Bulbs with 90+ CRI, E26 Medium Base,Dimmable, Clear Glass, Pack of 6

ASIN: B0CG19VVKB
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 review set shows mixed authenticity signals. Positive indicators include natural language variation, specific usage scenarios, and some critical feedback (one 4-star review mentioning misleading size, another noting excessive brightness). However, concerning patterns include: 1) Extremely high 5-star concentration (13/14 reviews are 5-star), 2) Duplicate reviews from same users (R26WVK7LYOHE42 and RQ1IM4PVSUIMP appear twice), 3) Several overly generic reviews focusing on price/value without product specifics, 4) One review with spelling errors ('Love thvese') suggesting rushed posting. The duplicate reviews are particularly suspicious for manipulation attempts. Overall, while many reviews appear genuine, the rating distribution and duplication patterns suggest some artificial inflation.

Review Statistics

2,234
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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