UGREEN USB C Verlängerung 10 Gbps USB 3.2, USB-C Verlängerungskabel 100W/4K 60Hz kompatibel mit iPhone 16/15, M3 MacBook Pro/Air, iPad Air 2024, Galaxy S24 Ultra Switch Konsolen usw. (Grau, 1m)
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Review Analysis Results
Analysis Summary
The reviews show a mixed pattern with some legitimate characteristics but also several suspicious elements. Positive aspects include: diverse review lengths, some critical reviews (3★ and 1★), varied writing styles, and specific technical details in some reviews. Concerning patterns include: extremely high 5★ concentration (9 out of 12 reviews), multiple reviews listing numerous device compatibilities in a promotional style, some overly enthusiastic language that reads like marketing copy, and several reviews that feel formulaic in their praise of UGREEN products. The presence of legitimate-sounding critical reviews and varied writing styles suggests this isn't entirely fake, but the high concentration of glowing 5★ reviews with similar promotional language indicates some artificial boosting.
Review Statistics
About Review Data Collection
We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.
Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.
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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 (3.80 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 (4.42 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.