CHRLEISURE Women's Fleece Lined Tights - Fake Sheer Warm Pantyhose Thick Winter Leggings
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Review Analysis Results
Analysis Summary
The review set shows moderate authenticity concerns but appears mostly legitimate. Key findings: 1) Rating distribution is heavily skewed toward 5-star reviews (61% of ratings), which is common but not definitive for manipulation. 2) Several reviews contain duplicate content (review RKM85QYPZSOGX appears twice with identical text), indicating potential copying. 3) Multiple Spanish-language reviews mention receiving only 1 item instead of 2 as advertised, suggesting legitimate customer experiences. 4) The reviews show good specificity with detailed fit descriptions, personal measurements, and practical use cases. 5) Video reviews and detailed negative feedback (like the asphalt worker's experience with ankle ripping) add credibility. The moderate score reflects the duplicate content and rating skew, but the detailed, varied feedback suggests mostly authentic customer experiences.
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 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 (4.00 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.
