SUMPK 50cm USB C to USB C Cable 2-Pack, 60W Type C PD Charger Cable Fast Charging Cord Compatible with MacBook Air, iPad Pro 2020/2018, galaxy S21/S21+/S20+ Ultra Note 20, Pixel 4/3 XL
SUMPK 50cm USB C to USB C Cable 2-Pack, 60W Type C PD Charger Cable Fast Charging Cord Compatible with MacBook Air, iPad Pro 2020/2018, galaxy S21/S21+/S20+ Ultra Note 20, Pixel 4/3 XL : Amazon.co.uk: Computers & Accessories
Review Analysis Results
Analysis Summary
The review set shows moderate concerns with a 28% estimated fake percentage. Analysis reveals: (1) Extreme rating skew with 80% 5-star reviews (8/10) and only 3 non-5-star ratings, creating an unnatural distribution; (2) All reviews are verified purchases ('U' designation), which provides some legitimacy; (3) Missing review text prevents deeper linguistic analysis, but the rating pattern alone suggests potential manipulation. The high concentration of perfect scores without corresponding negative feedback is atypical for genuine product experiences, where more balanced rating distributions typically occur.
Review Statistics
Price Analysis
This appears to be a budget-friendly USB-C cable option with strong customer ratings. Given the 4.4/5 score from nearly 2,000 reviews, it likely represents solid value in its category. Look for pricing around £8-£12 for a good deal, and verify current Amazon price against other reputable brands like Anker or Belkin.
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 (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 (4.40 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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