Kirigen Wood Letter-Size Tray Single-Tier(TP-DBR)- Wooden Tones Collection Front-Load Documents Tray for Office Desktop Organizer - Desk Magazine, File, Folder, Paper Holder Drak Brown

Kirigen Wood Letter-Size Tray Single-Tier(TP-DBR)- Wooden Tones Collection Front-Load Documents Tray for Office Desktop Organizer - Desk Magazine, File, Folder, Paper Holder Drak Brown

ASIN: B083P3NHQY
Analysis Date: Nov 6, 2025

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.60
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set appears largely authentic with a low fake percentage. Analysis shows: 1) Natural rating distribution with 11 five-star, 3 four-star, and 2 three-star reviews, indicating genuine variance in customer experience; 2) Consistent thematic patterns across reviews with multiple mentions of lightweight construction, dovetail joints, and practical usage scenarios; 3) Detailed, specific complaints about wood quality and finish that appear genuine rather than generic; 4) No obvious bot-like repetition or suspicious timing patterns. The minor concerns stem from a few overly brief 5-star reviews that lack detail, but these are balanced by the overall authenticity signals.

Review Statistics

338
Total Reviews on Amazon
-0.40
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

Adjusted Rating Explained

The adjusted rating (4.20 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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