Home Beyond & HB design - Thermal Solid Bed Sheets Set King Size - 4-Piece Flannel Fleece Bedding Sheet Set with Deep Pocket - Super Soft Cozy Breathable, Dark Grey

Home Beyond & HB design - Thermal Solid Bed Sheets Set King Size - 4-Piece Flannel Fleece Bedding Sheet Set with Deep Pocket - Super Soft Cozy Breathable, Dark Grey

ASIN: B0DKKNCBVP
Analysis Date: Nov 6, 2025 (re-analyzed Nov 6, 2025)

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.33
Original Rating
3.70
Adjusted Rating

Analysis Summary

This product shows a moderately elevated fake review percentage primarily due to several suspicious patterns. The review distribution is heavily skewed toward 5-star ratings (7 out of 9 reviews), with only one 4-star, one 3-star, and one 2-star review. Multiple reviews contain overly enthusiastic language with repetitive praise about softness and warmth, using similar phrasing. The French review stands out as potentially inauthentic given the predominantly English context. However, the presence of legitimate negative feedback about elastic issues and color mismatches provides some authenticity balance. The verification rate appears normal, and the mixed rating distribution prevents this from scoring higher on the fake percentage scale.

Review Statistics

60
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 (3.70 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 (4.33 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.

Share This Analysis

Learn More About Fake Reviews

Analyze new product