36-Piece Dinner Spoons Set, Funnydin 6.7" Stainless Steel Spoons Silverware, Durable Dessert Spoons, Table Spoon Use for Home, Kitchen and Restaurant - Mirror Polished, Dishwasher Safe

36-Piece Dinner Spoons Set, Funnydin 6.7" Stainless Steel Spoons Silverware, Durable Dessert Spoons, Table Spoon Use for Home, Kitchen and Restaurant - Mirror Polished, Dishwasher Safe

ASIN: B0B6CJH7LZ
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.54
Original Rating
3.90
Adjusted Rating

Analysis Summary

The reviews show a mixed pattern with some legitimate characteristics but several concerning elements. Positive aspects include: natural language variation, specific usage scenarios (teens losing spoons, grandkids throwing them out, baby birthday party), and one legitimate 1-star review with detailed complaints about rust. Concerning patterns include: extremely high 5-star concentration (11/13 reviews), several reviews with verification badges but minimal content ('Me encantaron súper', 'La qualité est top la taille'), repetitive praise of basic spoon functions ('sturdy', 'good weight', 'dishwasher safe'), and multiple reviews emphasizing 'value' and 'price' in similar phrasing. The presence of one detailed negative review and some authentic-sounding scenarios prevents a higher fake percentage score.

Review Statistics

390
Total Reviews on Amazon
-0.64
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 (4.54 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