Solgar Zinc Picolinate 22 mg, 100 Tablets - Promotes Healthy Skin - Supports Immune System, Normal Taste & Vision - Antioxidant – Non-GMO, Vegan, Gluten Free, Kosher - 100 Servings

Solgar Zinc Picolinate 22 mg, 100 Tablets - Promotes Healthy Skin - Supports Immune System, Normal Taste & Vision - Antioxidant – Non-GMO, Vegan, Gluten Free, Kosher - 100 Servings

ASIN: B00020ICLC
Analysis Date: Sep 24, 2025 (re-analyzed Sep 24, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.93
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns but falls within the 'good with minor concerns' range. While most reviews appear genuine, several patterns raise suspicion: multiple extremely brief reviews ('Love it', 'My favourite zinc', 'Good product') that lack substantive content, one review appearing twice (RH7DFOT90QXH5), and several reviews making strong health claims without sufficient personal experience documentation. However, the majority of reviews show reasonable variation in content length and style, include specific personal experiences, and demonstrate authentic hesitation (e.g., 'Haven't been taking it long enough yet to notice a difference'). The 5-star dominance (13/14 reviews) is somewhat concerning but plausible for a well-regarded supplement brand like Solgar.

Review Statistics

8,250
Total Reviews on Amazon
-0.73
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 (4.20 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 (4.93 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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