Kicking Horse Coffee, Grizzly Claw, Dark Roast, Whole Bean, 2.2 Pound - Certified Organic, Fairtrade, Kosher Coffee

Kicking Horse Coffee, Grizzly Claw, Dark Roast, Whole Bean, 2.2 Pound - Certified Organic, Fairtrade, Kosher Coffee

ASIN: B0758FYYKG
Analysis Date: Oct 27, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.73
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with several patterns suggesting some artificial content. While most reviews appear genuine, there are notable issues: 1) Extremely high 5-star rating concentration (12/15 reviews are 5-star, 80%), 2) Duplicate review detected (review #3 and #14 are identical), 3) Several reviews contain overly enthusiastic language with minimal substance ('forever coffee', 'so stinking good'), 4) Multiple reviews reference similar flavor profiles without detailed descriptions. However, many reviews show authentic characteristics including specific brewing methods (French press, grinding beans), price considerations, and personal usage contexts that suggest real customer experiences. The moderate fake percentage reflects the combination of these suspicious patterns with otherwise legitimate review content.

Review Statistics

4,631
Total Reviews on Amazon
-0.63
Rating Difference

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 (4.10 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 (4.73 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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