36-Piece Tea Spoons Set - 5.9" Stainless Steel Tea Spoon Silverware, Durable Small Spoons, Cost-effective Teaspoon Set of 36 for Home Kitchen Restaurant - Mirror Polished, Dishwasher Safe

36-Piece Tea Spoons Set - 5.9" Stainless Steel Tea Spoon Silverware, Durable Small Spoons, Cost-effective Teaspoon Set of 36 for Home Kitchen Restaurant - Mirror Polished, Dishwasher Safe

ASIN: B0B6CH29W3
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.57
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural variation in ratings (3-5 stars), specific usage contexts (restaurant, church, Operation Christmas Child), and authentic-sounding complaints about sharp edges and weight. However, concerning patterns include: high verification rate (100% verified), repetitive praise of 'value/price' across multiple reviews, and several overly generic 5-star reviews with minimal substance. The reviews appear to be mostly genuine with a moderate percentage of potentially incentivized or low-effort reviews. The product seems legitimate but may have some review manipulation.

Review Statistics

376
Total Reviews on Amazon
-0.67
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 (3.90 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 (4.57 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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