Elderberry Gummies Immunity Support - Real Honey and Lemon Immune Supplement for Kids & Teens with Vitamin C, Echinacea, and Zinc - 60 CT
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Review Analysis Results
Analysis Summary
Analysis reveals moderate concerns about review authenticity. Key findings: 1) Rating distribution is heavily skewed with 13/14 reviews being 5-star (93%), which is unusually high even for good products; 2) Multiple reviews show nearly identical phrasing about 'tastes like a treat instead of a supplement' and flavor descriptions, suggesting potential copying; 3) Several reviews contain suspiciously similar structure and enthusiastic language patterns; 4) One review appears duplicated (R1L8S34PLSWOI1 appears twice with identical content); 5) However, there is some legitimate variation including one 4-star and one 3-star review with more authentic critical feedback about plastic taste, and the product appears to be a real consumer item with plausible usage scenarios.
Review Statistics
About Review Data Collection
We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.
Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.
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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 (3.80 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 (4.80 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.
