Carlyle Mulberry Leaf Extract | 3000mg | 100 Capsules | Non-GMO and Gluten Free Herbal Supplement
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Review Analysis Results
Analysis Summary
The reviews show a mixed authenticity profile with several concerning patterns but also some legitimate characteristics. The product has an unusually high proportion of 5-star reviews (71%) with minimal negative feedback, which raises suspicion. Several reviews contain generic praise without specific details ('very good for your health', 'works great') that are common in fake reviews. However, there are also detailed reviews mentioning specific health effects (blood sugar control, diarrhea side effects) and repeat purchasing behavior that suggest genuine customer experiences. The presence of a 3-star review discussing side effects adds credibility to the overall review set. The moderate fake percentage reflects that while there are likely some inauthentic reviews, there appears to be a genuine customer base with varied experiences.
Review Statistics
Price Analysis
Carlyle's mulberry leaf extract sits in the mid-range for herbal supplements with excellent ratings, suggesting good quality for the price. Since the current Amazon price is unknown, check for Subscribe & Save or coupons at checkout. Compare per-milligram cost with similar 3000mg extracts to ensure you're getting fair value.
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 (4.63 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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