Ergonomic Non-Slip Fitness Grip Pads,Secured Finger Clip Hand Grips for Weightlifting,Pull-Ups,Dumbbells,Gym Workout Gloves,Palm Protectors for Men and Women(Black/Grey)

Ergonomic Non-Slip Fitness Grip Pads,Secured Finger Clip Hand Grips for Weightlifting,Pull-Ups,Dumbbells,Gym Workout Gloves,Palm Protectors for Men and Women(Black/Grey)

ASIN: B0FCRXNR2C
Analysis Date: Oct 28, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.55
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive aspects include: diverse ratings (5★, 4★, 3★), varied writing styles, and specific usage scenarios that appear genuine. However, concerning patterns include: multiple reviews with nearly identical phrasing (reviews 6 and 8 are exact duplicates, reviews 7 and 9 are identical), some reviews contain unnatural repetition of product benefits, and several reviews use overly enthusiastic marketing language. The duplicate reviews are particularly suspicious and suggest potential manipulation, though the overall distribution and content variety indicate many legitimate reviews are present. The moderate fake percentage reflects these duplicate entries and some formulaic positive reviews.

Review Statistics

10
Total Reviews on Amazon
-0.65
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 (4.55 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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