BULLIANT Men Clogs,Comfortable Mules Sandals for Men Women Cushioned Footbed Arch Support-EVA Ligthweight

BULLIANT Men Clogs,Comfortable Mules Sandals for Men Women Cushioned Footbed Arch Support-EVA Ligthweight

ASIN: B0DS58GXSQ
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.20
Original Rating
3.60
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with several suspicious patterns. While most reviews appear genuine with specific details about fit, comfort, and usage scenarios, there are notable red flags: Review #2 (R3999XPKDI47LM) appears to be a duplicate video description rather than an actual review, and Review #12 (R32U6MDPWIQBIO) is a near-verbatim duplicate of Review #6. The rating distribution is heavily skewed toward 5-star reviews (7 out of 14), though this is somewhat balanced by authentic-sounding critical reviews. Several reviews contain overly enthusiastic language with excessive emojis and exclamation marks. However, the presence of detailed negative feedback about sizing issues and specific fit problems lends credibility to the overall set.

Review Statistics

564
Total Reviews on Amazon
-0.60
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 (3.60 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 (4.20 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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