RAVIAD USB C to USB C Short Cable 50CM, 60W Fast Charger Type C to Type C Cable Braided Data Cord Compatible with iPhone 16 15 Pro Max Plus, MacBook Pro/Air, Galaxy S24 S23 S22, Pixel
RAVIAD USB C to USB C Short Cable 50CM, 60W Fast Charger Type C to Type C Cable Braided Data Cord Compatible with iPhone 16 15 Pro Max Plus, MacBook Pro/Air, Galaxy S24 S23 S22, Pixel : Amazon.co.uk: Computers & Accessories
Review Analysis Results
Analysis Summary
This product shows moderate concerns with approximately 28% potentially fake reviews. The analysis reveals a highly skewed rating distribution with 80% 5-star reviews and only one 3-star review, creating an unnatural perfect pattern. All reviews are from unverified purchases ('U'), which significantly reduces credibility as these could be from incentivized reviewers or fake accounts. The uniformity in format (all following 'ID|U|rating★|' pattern) and lack of any verified purchases raises suspicion. However, the presence of one 3-star review provides some authenticity balance, preventing a higher fake percentage score. The absence of detailed review text prevents deeper linguistic analysis, but the structural patterns suggest organized review manipulation rather than organic customer feedback.
Review Statistics
Price Analysis
This appears to be a budget-friendly USB-C cable with strong ratings. Without the current Amazon price, we recommend comparing against similar cables in the £7-£15 range. Given the high rating and braided construction, it's likely a solid choice if priced competitively within this range.
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 (4.00 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 (4.60 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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