Proctor Silex Electric Coffee Grinder for Beans, Spices and More, Stainless Steel Blades, 12 Cups, White

Proctor Silex Electric Coffee Grinder for Beans, Spices and More, Stainless Steel Blades, 12 Cups, White

ASIN: B09D2DPXK4
Analysis Date: Oct 25, 2025 (re-analyzed Oct 25, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.27
Original Rating
3.70
Adjusted Rating

Analysis Summary

The review set shows a moderately suspicious profile with several concerning patterns mixed with legitimate-looking reviews. The product has an extremely high positive rating concentration (12 of 15 reviews are 5-star, 2 are 4-star, and only 2 are 1-star), which is statistically unusual for consumer products. Several reviews exhibit classic fake review characteristics including repetitive positive phrasing, generic praise without specific details, and unnatural language patterns. However, there are also authentic-seeming reviews with specific usage scenarios, genuine complaints, and detailed experiences that balance the assessment. The presence of verified purchase tags provides some credibility, but the rating distribution and repetitive positive language patterns suggest some artificial inflation of positive reviews.

Review Statistics

3,162
Total Reviews on Amazon
-0.57
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 (3.70 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 (4.27 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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