JOLLY CHEF 10 inch Disposable Paper Plates 140 Count, Soak Proof, Cut Proof, Heavy Duty Paper Plates for Everyday Use

JOLLY CHEF 10 inch Disposable Paper Plates 140 Count, Soak Proof, Cut Proof, Heavy Duty Paper Plates for Everyday Use

ASIN: B0C1FL1WJH
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 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 moderate authenticity concerns with a 28% estimated fake percentage. Analysis reveals: 1) Strong positive bias with 11/13 reviews being 5-star (85%) and only 2 being 4-star, creating an unnatural rating distribution; 2) Multiple reviews contain nearly identical phrasing about 'sturdy' plates and 'no washing dishes' benefits, suggesting coordinated messaging; 3) Several reviews are overly generic ('Great quality', 'Perfit quality') with minimal detail; 4) However, many reviews contain specific, plausible usage scenarios (graduation parties, Mother's Day, family visits) and detailed product observations about size, coating, and durability that suggest genuine experiences. The mix of verified (V) and unverified (U) purchases provides some authenticity balance.

Review Statistics

1,600
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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