Sopito Finger Splint, 3PCS Finger Support Brace Finger Stabilizer for Broken Fingers Straightening Arthritis Knuckle Immobilization,Blue

Sopito Finger Splint, 3PCS Finger Support Brace Finger Stabilizer for Broken Fingers Straightening Arthritis Knuckle Immobilization,Blue

ASIN: B0B5C6RWR4
Analysis Date: Sep 26, 2025 (re-analyzed Sep 26, 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 reviews show a mixed pattern with some legitimate-sounding detailed experiences but also several concerning elements. Positive aspects include specific injury scenarios (mandolin slicer accident, mallet finger, arthritis) with realistic healing timelines and practical usage details. However, red flags include: duplicate review text (R1QEI95RRK4GBP appears twice), several overly brief 5-star reviews lacking substance ('Liked these. Well built and tight'), and some reviews that sound more like product descriptions than personal experiences. The 5-star bias is moderate (10/15 reviews are 5-star) but not extreme for a medical product where users might be genuinely grateful. The detailed negative/neutral reviews appear authentic with specific complaints about Velcro quality and fabric damage.

Review Statistics

2,218
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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