ChayChax Men's and Women's Arch Support Clogs Garden Shoes Slip-on Outdoor Beach Slippers with Removable Cushion Footbed

ChayChax Men's and Women's Arch Support Clogs Garden Shoes Slip-on Outdoor Beach Slippers with Removable Cushion Footbed

ASIN: B097C218SR
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.60
Original Rating
4.00
Adjusted Rating

Analysis Summary

The review set shows a moderately suspicious pattern with several legitimate indicators but also some concerning elements. The extremely high 5-star concentration (12 out of 15 reviews, 80%) is notable, though not definitive. Positive aspects include: detailed personal experiences (diabetes, Disneyland trip), specific product features mentioned (arch support, removable insoles), and some critical reviews (color disappointment, sizing issues). Concerning patterns include: multiple reviews with generic superlatives ('super comfortable', 'great quality'), some overly enthusiastic language without substance, and one review in French that appears formulaic. The mix of languages (English, Italian, French) could indicate international marketing efforts. Overall, while there are some suspicious elements, the presence of detailed, specific reviews and genuine-sounding complaints suggests a mostly authentic review set with some potential manipulation.

Review Statistics

20,471
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 (4.00 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 (4.60 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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