M80A Dual Motor Electric Executive Office Chair with Foot Rest, Comfortable Reclining Office Chair Wide Seat, Big and Tall Ergonomic Leather Home Office Desk Chair (Black, Multi-Functionality)

M80A Dual Motor Electric Executive Office Chair with Foot Rest, Comfortable Reclining Office Chair Wide Seat, Big and Tall Ergonomic Leather Home Office Desk Chair (Black, Multi-Functionality)

ASIN: B0FVXR4862
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

C
Authenticity Grade
35.00%
Fake Reviews
4.58
Original Rating
3.80
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While there are legitimate-sounding reviews with specific details and balanced feedback, there are multiple duplicate reviews (RZ07432P097V7 appears twice with identical content, R2T37ELWLE6PHO appears twice, RXIH0T74YAF5E appears twice) which is highly suspicious and suggests review manipulation. The overwhelming 5-star bias (10 out of 12 reviews are 5-star) with only one 4-star and one 1-star creates an unnatural distribution. Several reviews use excessive marketing language and repetitive positive adjectives without substantive detail. However, the presence of one detailed negative review and some reviews with specific measurements and assembly details provides some balance. The duplicate reviews are the most concerning factor driving the moderate fake percentage.

Review Statistics

58
Total Reviews on Amazon
-0.78
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 (3.80 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 (4.58 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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