Proctor Silex 24-Pound Electric Roaster Oven with Variable Temperature Control, Self-Basting Lid & Removable Pan, 18 Quart, Black (32211)

Proctor Silex 24-Pound Electric Roaster Oven with Variable Temperature Control, Self-Basting Lid & Removable Pan, 18 Quart, Black (32211)

ASIN: B0CMF7XBPP
Analysis Date: Nov 9, 2025 (re-analyzed Nov 9, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.33
Original Rating
3.70
Adjusted Rating

Analysis Summary

The reviews show a mixed authenticity profile with several legitimate-seeming reviews but some concerning patterns. Positive aspects include detailed, specific usage scenarios (Thanksgiving cooking, canning, bread baking) and varied review lengths. However, red flags include: extremely high 5-star concentration (11/15 reviews), several overly enthusiastic reviews with repetitive phrasing, and two 1-star reviews mentioning identical 'sharp edges' issues that could indicate coordinated negative reviews. The 'V' (verified purchase) status on most reviews adds credibility, but the unnatural enthusiasm in some 5-star reviews and the potential review manipulation for both positive and negative ratings raises concerns. The product appears to have genuine users but likely has some artificial review inflation.

Review Statistics

274
Total Reviews on Amazon
-0.63
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 (4.33 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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