Oceanblue Professional Omega 3 2100-120 ct - High Potency Triple Strength Burpless Fish Oil with EPA, DHA & DPA - Wild Caught - Natural Orange Flavor, 60 Servings

Oceanblue Professional Omega 3 2100-120 ct - High Potency Triple Strength Burpless Fish Oil with EPA, DHA & DPA - Wild Caught - Natural Orange Flavor, 60 Servings

ASIN: B07KY6M5DL
Analysis Date: Sep 24, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.92
Original Rating
3.40
Adjusted Rating

Analysis Summary

The review set shows a mix of authentic and potentially suspicious patterns. While there's a clear bimodal distribution (mostly 5-star and 1-star reviews), the content diversity and presence of specific, detailed complaints suggest many reviews are genuine. Suspicious elements include some generic 5-star reviews, abrupt topic changes in longer reviews, and a few reviews that follow similar phrasing patterns. However, the presence of verified purchases, detailed negative reviews about specific product issues (pills stuck together, bottle condition), and varied writing styles across different languages suggests a legitimate product with normal review distribution. The moderate score reflects some suspicious patterns but acknowledges that many reviews appear authentic.

Review Statistics

616
Total Reviews on Amazon
-0.52
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 (3.40 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 (3.92 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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