GTRACING Big and Tall Gaming Chair 400lbs Heavy Duty Office Chair with Foot Rest & High Back Pocket Spring Lumbar Support, Ergonomic Wide Comfy Seated Cushion for for Lower Back Pain Relief, Black

GTRACING Big and Tall Gaming Chair 400lbs Heavy Duty Office Chair with Foot Rest & High Back Pocket Spring Lumbar Support, Ergonomic Wide Comfy Seated Cushion for for Lower Back Pain Relief, Black

ASIN: B0DXQ7XPW2
Analysis Date: Nov 8, 2025 (re-analyzed Nov 8, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.80
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural language variation, specific personal experiences (weight/height mentions, family situations), and balanced 4-star reviews with minor criticisms. Concerning patterns include: high 5-star concentration (12/14 reviews), duplicate reviews (R1SF3ECEEBO5ET and RGR678L3S8LN9 appear twice), and some overly enthusiastic language. The Spanish reviews appear genuine with specific usage details. The moderate fake percentage reflects the duplicate content and rating imbalance, but many reviews contain authentic personal details that suggest legitimate customer experiences.

Review Statistics

33,769
Total Reviews on Amazon
-0.70
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 (4.10 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 (4.80 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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