Ergonomic Office Chair: 330LBS Computer Desk Chair Comfy-Mesh High Back Gaming Rolling Chairs with Adjustable Lumbar Support-Executive Task Chair for Adults (White Gray)

Ergonomic Office Chair: 330LBS Computer Desk Chair Comfy-Mesh High Back Gaming Rolling Chairs with Adjustable Lumbar Support-Executive Task Chair for Adults (White Gray)

ASIN: B0FR4HSYS8
Analysis Date: Nov 2, 2025 (re-analyzed Nov 2, 2025)

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.73
Original Rating
3.70
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While there are legitimate-sounding reviews with specific usage details and minor criticisms, the overwhelming 5-star bias (8 out of 9 rated reviews are 5-star) and repetitive language patterns raise suspicion. Key concerns include: multiple reviews using nearly identical phrasing about 'ergonomic design,' 'long hours,' 'breathable mesh,' and 'lumbar support'; one review appears to be auto-generated video metadata rather than genuine user feedback; and the high concentration of extremely positive language without meaningful variation. However, the presence of one 4-star review with specific criticism about a wobbly headrest and one 2-star review in Spanish about price increases provides some authenticity balance. The duplicate reviews (IDs R20ASB6IVIURTL and R31U59YJUAKAYR appearing twice) also suggest potential manipulation.

Review Statistics

671
Total Reviews on Amazon
-1.03
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.70 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 (4.73 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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