Lee Women's Ultra Lux Comfort with Flex Motion Straight Leg Jean

Lee Women's Ultra Lux Comfort with Flex Motion Straight Leg Jean

ASIN: B07SJ1QLYY
Analysis Date: Nov 10, 2025 (re-analyzed Nov 10, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.00
Original Rating
3.40
Adjusted Rating

Analysis Summary

The review set shows a moderately suspicious profile with several concerning patterns balanced against legitimate-looking reviews. Key findings: 1) Extremely high positive bias with 10/15 reviews at 5★ (67%) and only 3 negative reviews, creating an unnatural distribution; 2) Multiple reviews use nearly identical phrasing about 'perfect fit' and 'comfortable' with minimal product detail; 3) Several reviews appear formulaic with repetitive structure focusing on fit, comfort, and quality in the same order; 4) However, the presence of authentic-seeming negative reviews (including detailed fit complaints and language barriers) and specific usage scenarios (animal shelter work, horse riding) provides credibility. The mix of detailed personal experiences with some generic positive reviews suggests a combination of genuine customers and potentially incentivized or low-effort reviews.

Review Statistics

9,525
Total Reviews on Amazon
-0.60
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 (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.

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