Lamicall 24g Polarized Sports Sunglasses for Men Women - UV400 Protection Sun Glasses for Running Cycling Baseball Fishing

Lamicall 24g Polarized Sports Sunglasses for Men Women - UV400 Protection Sun Glasses for Running Cycling Baseball Fishing

ASIN: B0DYV736NT
Analysis Date: Nov 5, 2025 (re-analyzed Nov 5, 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. The product has an extremely high 5-star rating concentration (14 out of 15 reviews are 5-star, 93%), which is unusually positive even for legitimate products. Multiple reviews contain nearly identical phrasing about 'comfortable fit' and 'no bouncing while running,' suggesting potential coordination. However, there are also authentic-seeming elements including one 4-star review with specific criticism about tint being 'a little light,' detailed personal experiences (cataract surgery mention), and varied writing styles. The duplicate review from user RIZUBS0KK54J6 is particularly concerning as it appears twice with identical content, indicating potential manipulation. The reviews lack the extreme repetition and generic phrasing common in heavily fake review campaigns, but the uniformity of praise and duplicate content warrant moderate suspicion.

Review Statistics

335
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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