Amazon Basic Care Maximum Strength First Aid Triple Antibiotic Ointment, Pain Relief For Minor Cuts, Scrapes and Burns, 3 ounce (Pack of 1)
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Review Analysis Results
Analysis Summary
The reviews show a mixed pattern with some legitimate characteristics but also several red flags. Positive aspects include: 1) Reasonable distribution of verified (V) and unverified (U) purchases (7V vs 5U), 2) Some detailed, specific reviews with genuine usage scenarios, 3) Normal rating distribution with one 4-star review among mostly 5-stars. Concerning patterns include: 1) Multiple reviews with poor grammar/spelling errors ('multiplayiing', 'wond', 'RECCOMENEDED'), 2) Several overly simplistic reviews lacking substance ('They are great', 'Works great'), 3) Repetitive focus on the 3-pack value proposition across multiple reviews, 4) Some reviews appear formulaic with similar structure. The moderate fake percentage reflects that while there are suspicious elements, many reviews contain authentic details and the product appears to be a legitimate generic antibiotic ointment where genuine customers might naturally focus on value comparisons.
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 (4.85 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.
