Probelle Double Sided Multidirectional Nickel Foot File Callus Remover - Immediately Reduces calluses and Corns to Powder for Instant Results, Safe Tool (Red)

Probelle Double Sided Multidirectional Nickel Foot File Callus Remover - Immediately Reduces calluses and Corns to Powder for Instant Results, Safe Tool (Red)

ASIN: B00XUVKB14
Analysis Date: Nov 9, 2025

Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
4.92
Original Rating
4.30
Adjusted Rating

Analysis Summary

The review set shows a moderately suspicious pattern with several legitimate-looking reviews mixed with some concerning elements. Positive aspects include: detailed usage scenarios from runners and regular users, specific product feature descriptions, and varied review lengths. Concerning patterns include: extremely high 5-star concentration (12/13 reviews), several reviews using hyperbolic language ('best ever,' 'genial'), and some reviews with minimal content ('works very well'). However, most reviews contain specific usage details and personal experiences that suggest genuine use. The moderate fake percentage reflects the imbalance in ratings and some formulaic language, but many reviews appear authentic based on detailed personal accounts.

Review Statistics

11,012
Total Reviews on Amazon
-0.62
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 (4.30 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 (4.92 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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