Baidyanath Himalayan Shilajit Resin 20g | Rich in Fulvic Acid|For Strength, Power & Stamina
Review Analysis Results
Analysis Summary
The review set shows significant signs of manipulation with a moderately high fake percentage. Key findings: 1) Extreme rating polarization with 9/15 reviews being 5-star (60%) and 4/15 being 1-star (27%), creating a suspicious bimodal distribution. 2) Multiple duplicate reviews (R1AY9KT684GQML appears twice with identical text, R104SWRV1I2YAM also duplicated) indicating potential review farming. 3) Several reviews use generic, marketing-style language with repetitive claims about 'energy,' 'stamina,' and 'immunity' without specific details. 4) Multiple reviews contain grammatical errors and unnatural phrasing suggesting non-native English or template use. 5) The presence of extremely brief reviews ('Very Nice Product', 'Baidyanath always best') that provide no substantive information. However, some negative reviews appear genuine with specific complaints about product authenticity and quantity issues.
Review Statistics
Price Analysis
This appears to be a premium Ayurvedic supplement from a reputable brand. Since the current Amazon price is unknown, compare it against the typical ₹500-₹2,000 range for similar 20g Shilajit products. Wait for a sale event and verify seller authenticity before purchasing.
MSRP Assessment
Market Position
Buying Tips
Understanding This Analysis
What does Grade D mean?
This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.
Adjusted Rating Explained
The adjusted rating (3.00 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 (4.00 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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