Flachkopf Stethoskop, Med-Comfort, schwarz, 1 Stück - Hochwertiges Stethoskop für Ärzte und Krankenschwestern

ASIN: B000QF71M4
Analysis Date: Nov 8, 2025

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.79
Original Rating
3.30
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with a mix of legitimate and potentially suspicious patterns. Positive aspects include detailed, specific use cases that appear genuine (medical training, costume use, mechanical troubleshooting) and varied ratings (1-5 stars) with reasonable distribution. However, several red flags emerge: multiple extremely brief 5-star reviews lacking substance ('Gut und günstig', 'Preisleistungsverhältnis super!', 'Sehr gut 👍'), potential review manipulation patterns with some reviews appearing formulaic, and one review (R1BZM6DQRLO5J6) that follows a suspicious template pattern. The presence of multiple languages (German, English, French, Spanish, Swedish) could indicate international marketing efforts but doesn't necessarily indicate fraud. Overall, while many reviews appear authentic, the cluster of brief, uninformative 5-star reviews suggests some artificial inflation of positive ratings.

Review Statistics

1,806
Total Reviews on Amazon
-0.49
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 (3.30 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 (3.79 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.

Share This Analysis

Learn More About Fake Reviews

Analyze new product