UGREEN 240W USB C to USB C Cable PD 3.1 USB C Charger Cable Fast Charging Type C Lead Compatible with Macbook Pro M4/Air, iPad Pro 2025/Air 6, HP EliteBook, iPhone Air/17/16, Galaxy S25 Ultra, 0.5M
UGREEN 240W USB C to USB C Cable PD 3.1 USB C Charger Cable Fast Charging Type C Lead Compatible with Macbook Pro M4/Air, iPad Pro 2025/Air 6, HP EliteBook, iPhone Air/17/16, Galaxy S25 Ultra, 0.5M : Amazon.co.uk: Computers & Accessories
Review Analysis Results
Analysis Summary
The review set shows moderate concerns with 25% estimated fake reviews. Analysis reveals: (1) Extremely high positive bias with 8/10 reviews being 5-star and 2/10 being 4-star, creating an unnatural perfect rating distribution; (2) All reviews follow identical formatting with 'U|X★' pattern, suggesting potential automated generation; (3) No verified purchase indicators or detailed content, limiting authenticity verification. However, the absence of obvious bot-like language patterns and the presence of some 4-star reviews provides some credibility balance. The moderate score reflects the suspicious rating distribution while acknowledging limited evidence of outright fabrication.
Review Statistics
Price Analysis
UGREEN cables typically offer good value in the mid-range segment. For this 240W PD 3.1 cable, expect to pay £18-£25 on Amazon UK. Wait for a deal below £20 for optimal value, and verify the seller is UGREEN or Amazon directly to avoid counterfeits.
MSRP Assessment
Market Position
Buying Tips
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 (4.20 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 (4.80 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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