Samfolk Lot de XL Boîte Anti RFID + 2 Etuis Anti RFID Clé Voiture Portable (M+L), 22 x 13 x 10,5 cm Boitier en PU Protection Anti Onde

Samfolk Lot de XL Boîte Anti RFID + 2 Etuis Anti RFID Clé Voiture Portable (M+L), 22 x 13 x 10,5 cm Boitier en PU Protection Anti Onde

ASIN: B09TSC3L5K
Analysis Date: Nov 1, 2025

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.67
Original Rating
4.00
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with several suspicious patterns. While many reviews appear genuine with specific technical details about RFID blocking functionality and proper testing methods, there are notable red flags: two reviews (R3AHNGCVCEG6XU and R1FNVHGAMS5PZ4) appear duplicated with identical content, suggesting potential manipulation. The rating distribution is heavily skewed toward 5-star reviews (12 out of 14), with only one 4-star and one 1-star review, creating an unnatural distribution. However, the presence of the 1-star complaint about keys being deactivated adds credibility to the overall authenticity. Many reviews contain specific technical details about Faraday cage functionality, proper testing procedures, and practical use cases that suggest genuine user experiences. The mix of languages (French, English, German, Italian) and varied writing styles supports authenticity.

Review Statistics

14,761
Total Reviews on Amazon
-0.67
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 (4.00 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 (4.67 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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