FYN Ceylon Cinnamon Sticks (100g) - True Sri Lankan Dalchini Sticks Roll | Authentic Quills | Original | Whole Spice | World's Finest | Low Coumarin

FYN Ceylon Cinnamon Sticks (100g) - True Sri Lankan Dalchini Sticks Roll | Authentic Quills | Original | Whole Spice | World's Finest | Low Coumarin

ASIN: B07J3LKFZV
Analysis Date: Nov 5, 2025 (re-analyzed Nov 5, 2025)

Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
3.93
Original Rating
3.10
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. The rating distribution is heavily polarized with 9 five-star reviews (60%) and 3 one-star reviews (20%), creating a suspicious U-shaped pattern. Multiple five-star reviews use nearly identical phrasing ('original product,' 'super product,' 'great product') with minimal detail, suggesting template-based reviews. Several reviews contain unusually detailed health claims and marketing language that reads like product descriptions rather than genuine user experiences. The one-star reviews appear more authentic with specific complaints about dryness and flavor issues, creating a contrast that suggests potential review manipulation. While not overwhelmingly fake, the combination of repetitive positive language, marketing-style phrasing, and polarized ratings indicates a moderate level of inauthentic reviews.

Review Statistics

3,945
Total Reviews on Amazon
-0.83
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

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 (3.10 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 (3.93 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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