Craft Wok Großer, schwerer, handgefertigter Pow-Wok aus Carbonstahl mit Holz- und Stahlgriff, 40 cm (Rundboden) / 731W138

Craft Wok Großer, schwerer, handgefertigter Pow-Wok aus Carbonstahl mit Holz- und Stahlgriff, 40 cm (Rundboden) / 731W138

ASIN: B0171U1EII
Analysis Date: Sep 20, 2025

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.87
Original Rating
4.40
Adjusted Rating

Analysis Summary

The reviews show generally authentic characteristics with moderate concerns. Most reviews (14/15) are verified purchases, and ratings are consistently high (93% 5-star, 7% 4-star), which is plausible for a quality product. Review content is detailed, specific about usage (e.g., seasoning process, burner types, capacity for 4-15 people), and includes minor criticisms (weight, handle tightness). However, some patterns raise suspicion: two reviews (R7E15NCVE2NRV and R1D900N8AE8MYM) appear duplicated with slight variations (marked 'U' vs 'V'), and a few reviews use exaggerated or slightly unnatural phrasing (e.g., 'heavyweight champion', gender-specific comments). No obvious bot-like patterns or incentive mentions were found. Overall, the product appears legitimate with a small proportion of potentially inauthentic reviews.

Review Statistics

1,047
Total Reviews on Amazon
-0.47
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

Adjusted Rating Explained

The adjusted rating (4.40 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 (4.87 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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