Jobin 32cm/12,6'' Wokpfanne aus Kohlenstoffstahl mit Deckel, Griff aus Holz und Stahl und zum Kochen von Asiatischen Gerichten für 3-5 Personen, Induktion, Elektro, Gas - FLACH

Jobin 32cm/12,6'' Wokpfanne aus Kohlenstoffstahl mit Deckel, Griff aus Holz und Stahl und zum Kochen von Asiatischen Gerichten für 3-5 Personen, Induktion, Elektro, Gas - FLACH

ASIN: B0F9KDKGKN
Analysis Date: Sep 20, 2025

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Review Analysis Results

C
Authenticity Grade
35.00%
Fake Reviews
5.00
Original Rating
4.10
Adjusted Rating

Analysis Summary

The reviews show several concerning patterns that suggest a moderate level of inauthenticity. Multiple reviews (R3OVJ91IZMEM5A, R1UA6JBB48TKQ9, R1NPORF9G9NM9O, R1OV0MN519RMLJ) appear duplicated with identical text but different verification statuses, which is highly suspicious and indicates potential review manipulation. All reviews are uniformly 5-star with overwhelmingly positive language, lacking the nuanced criticism typically found in genuine reviews. The reviews use repetitive, generic praise about heat distribution, handle quality, and lid fit. However, the presence of reviews in multiple languages (German, English, Spanish) and some detailed cooking experiences provide some balance, preventing a higher fake percentage score.

Review Statistics

58
Total Reviews on Amazon
-0.90
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 (4.10 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 (5.00 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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