PAMI Bulk Plastic Spoons 1000 Count Disposable Medium Weight Sturdy Cutlery for Parties and Catering (Teaspoons Teaspoons White)

PAMI Bulk Plastic Spoons 1000 Count Disposable Medium Weight Sturdy Cutlery for Parties and Catering (Teaspoons Teaspoons White)

ASIN: B0B46VML1M
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.60
Original Rating
3.10
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive aspects include reasonable rating distribution (5★=7, 4★=3, 3★=1, 1★=5) with genuine negative feedback about product quality issues. However, several red flags emerge: multiple extremely brief 5-star reviews ('Good product', 'Great product', 'very good') that lack detail, some repetitive language patterns across positive reviews, and a few reviews that feel overly promotional. The presence of verified purchases (V) provides some credibility, but the combination of overly simplistic positive reviews alongside detailed negative complaints creates suspicion. The product appears to have legitimate quality issues based on consistent negative feedback about size and sturdiness, which makes the simplistic positive reviews more questionable.

Review Statistics

1,102
Total Reviews on Amazon
-0.50
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 (3.10 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 (3.60 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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