AURORIONCG 10 LED Spiegellichter Dimmbare Make-up Lampen 3000K/4000K/9000K Einstellbare Farbtemperatur USB Betrieben

AURORIONCG 10 LED Spiegellichter Dimmbare Make-up Lampen 3000K/4000K/9000K Einstellbare Farbtemperatur USB Betrieben

ASIN: B0FDPZV919
Analysis Date: Oct 20, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.25
Original Rating
3.70
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with a mix of genuine and potentially inauthentic content. Analysis reveals: 1) Rating distribution is heavily skewed with 7/8 reviews being 5-star (87.5%), creating an unnatural positivity bias; 2) Multiple reviews (1, 2, 4, 5, 7) share nearly identical phrasing about 'three color temperatures and ten brightness levels' with minimal variation, suggesting template use; 3) The multilingual pattern (German, English, Italian, Spanish, French) is unusual for a single product and could indicate coordinated reviewing; 4) However, the presence of a 1-star and 3-star review provides some balance, and most reviews contain specific, practical details about installation and usage that suggest genuine experience. The 'U' and 'V' verification mix also supports some authenticity.

Review Statistics

11
Total Reviews on Amazon
-0.55
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 (4.25 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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