Incrediwear Knee Sleeve – Knee Braces for Knee Pain, Joint Pain Relief, Swelling, Inflammation Relief, and Circulation, Knee Support for Women and Men

Incrediwear Knee Sleeve – Knee Braces for Knee Pain, Joint Pain Relief, Swelling, Inflammation Relief, and Circulation, Knee Support for Women and Men

ASIN: B0055QNLN2
Analysis Date: Nov 1, 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 a moderately concerning pattern with several red flags, though not overwhelmingly fake. Key findings: 1) Extremely high 5-star concentration (14/15 reviews = 93%) with only one 4-star review, creating an unnatural rating distribution; 2) Multiple reviews contain generic, overly enthusiastic language with minimal specific details about product performance; 3) Several reviews show suspicious patterns including duplicate content (review #7 and #14 are identical), non-English reviews that appear formulaic, and reviews with abrupt endings or incomplete sentences; 4) However, many reviews do contain specific usage scenarios and personal medical contexts that lend some authenticity. The verification rate appears normal, but the rating distribution and repetitive positive language suggest some artificial inflation of positive reviews.

Review Statistics

13,734
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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