Wanme Cable USB C 1M, Cables de Carga Rápida de USB C para Samsung Galaxy S25 S24 S23 S22 S21 S20 Plus Ultra/Galaxy A15 A25 A35 A55 A05s A06s A34 A54 A32 A52 A33 A53 A32 A52 A51 / Z Flip
Review Analysis Results
Analysis Summary
The review set shows moderate concerns with several patterns typical of inauthentic reviews, though not overwhelmingly fake. Key findings: 100% of reviews are verified purchases (8/8), which is unusually high and often indicates review manipulation. The rating distribution is heavily skewed with 7/8 reviews being 5-star (87.5%) and only one 4-star, creating an unnatural perfection. Text analysis reveals multiple extremely brief, generic reviews lacking specific product details or usage experiences. Several reviews use simple Spanish phrases ('Bien!!', 'Buena calidad', 'Todo perfecto') alongside English reviews, which can indicate coordinated review campaigns. However, the presence of one detailed, balanced review (#3) discussing cable thickness and charging performance provides some authenticity anchor. The overall pattern suggests likely review manipulation but not overwhelmingly fake.
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.
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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 (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 (4.88 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.