Foot Rest for Under Desk at Work ,Ergonomic Foot Stool Under Office Desk - Rocking for Fidgeters,Effectively Relaxes The Leg Muscles,2 Pieces Grey

Foot Rest for Under Desk at Work ,Ergonomic Foot Stool Under Office Desk - Rocking for Fidgeters,Effectively Relaxes The Leg Muscles,2 Pieces Grey

ASIN: B0DD7ZWB68
Analysis Date: Nov 7, 2025 (re-analyzed Nov 7, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.53
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with a 28% estimated fake percentage. Analysis reveals: 1) Strong verification rate with 13/15 reviews marked 'V' (verified purchase), 2) Balanced rating distribution (9x5★, 5x4★, 1x3★) without extreme polarization, 3) Generally detailed, specific reviews with personal experiences and practical pros/cons. However, concerns include: repetitive language patterns across multiple reviews (similar phrasing about 'fidgety feet' and 'jitters'), some overly enthusiastic language that feels slightly manufactured, and one duplicate review (R1U9HAO9MIGP4R appears twice). The reviews demonstrate reasonable product knowledge and varied writing styles, suggesting mostly genuine feedback with some potential coordinated or incentivized reviews.

Review Statistics

81
Total Reviews on Amazon
-0.63
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 (3.90 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 (4.53 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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