YCMM Heavy-Duty Orthotic Insoles for Plantar Fasciitis Relief 1.4-Inch High Arch Support Flat Feet Work Boot Shoe Inserts for Kids & Teens (No Ventilation Holes, XS, Red)

YCMM Heavy-Duty Orthotic Insoles for Plantar Fasciitis Relief 1.4-Inch High Arch Support Flat Feet Work Boot Shoe Inserts for Kids & Teens (No Ventilation Holes, XS, Red)

ASIN: B0D95THX7P
Analysis Date: Sep 23, 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 moderate authenticity concerns but falls within the 'good with minor concerns' range. While 6 of 9 reviews are verified purchases (67%), there are notable patterns: 7 of 9 reviews are 4-5 stars (78%), with repetitive, generic praise ('Great job', 'These feel great thanks') lacking specific details. Review #6 appears duplicated verbatim, and several reviews contain grammatical errors or awkward phrasing. However, the presence of mixed ratings (including 3-star), detailed negative feedback, and product-specific mentions provides some balance. The main concerns are the high positivity rate and low-effort reviews rather than clear bot patterns.

Review Statistics

43
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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