Superer 15V Charger Fit for Philips Norelco HQ8505 6000 7000 9000 Series, Multigroom MG5750 MG7750 MG7770 MG7790 QP6531 BG7030 BG7040 BG5025 S9987 Shaver Trimmer Power Cord Not for USB 5V Input Models
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Review Analysis Results
Analysis Summary
The review set shows mixed authenticity signals. Positive indicators include: natural language variation across reviews, some detailed personal experiences (review #2 describing peeling cable), multiple languages (English, Spanish, Japanese), and a balanced rating distribution with 13 five-star, 2 four-star, 1 two-star, and 1 one-star review. Concerning patterns include: several overly brief reviews lacking substance ('Good', 'is what I needed'), generic phrasing repetition ('works perfectly', 'very satisfied'), and the high proportion (65%) of 5-star ratings. The negative reviews appear genuine with specific complaints about used/dirty cord and compatibility issues, which adds credibility to the overall review set. The moderate fake percentage reflects that while some reviews may be incentivized or low-effort, the majority show authentic user experiences.
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 (4.40 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.
