Winco St 12-Piece Toulouse Dinner Fork Set, 18-0 Extra Heavy Weight Stainless Steel, Silver

Winco St 12-Piece Toulouse Dinner Fork Set, 18-0 Extra Heavy Weight Stainless Steel, Silver

ASIN: B001TAT150
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.93
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with a 28% estimated fake percentage. Analysis reveals: 1) Strong verification rate with all reviews marked 'V' (verified purchase), which significantly boosts credibility. 2) Extreme rating bias with 14/15 reviews at 5-stars and only one 4-star review, creating an unnatural distribution. 3) Repetitive language patterns with 'sturdy' appearing 6 times, 'weight/weighted' 4 times, and similar phrasing about durability and value. 4) Several reviews contain overly generic, marketing-style language that reads like product descriptions rather than personal experiences. However, the verified purchase status and some detailed, specific accounts (like dishwasher basket issues and multi-generational use) provide counterbalancing authenticity indicators.

Review Statistics

1,338
Total Reviews on Amazon
-0.73
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 (4.20 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 (4.93 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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