Long 14” Knee Pillow for Side Sleeper Fully Support Thighs and Knees for Required Knee Separation- Leg Pillow for Side Sleeping Between Legs Aligns Spine- Large, Gray

Long 14” Knee Pillow for Side Sleeper Fully Support Thighs and Knees for Required Knee Separation- Leg Pillow for Side Sleeping Between Legs Aligns Spine- Large, Gray

ASIN: B09T6L4FNS
Analysis Date: Nov 6, 2025 (re-analyzed Nov 6, 2025)

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.54
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include detailed personal experiences (height/weight specifics, medical conditions like sciatica and hip pain), varied review lengths, and some critical feedback (3-star and 2-star reviews mentioning firmness issues and discomfort). However, concerning patterns include: 7 of 13 reviews are 5-star with minimal substance ('ok', 'Well worth the money', 'Excellent pillow. I can only recommend'), several reviews use nearly identical phrasing about hip pain reduction, and there's an unusually high concentration of 5-star ratings (69%). The presence of some verified purchase badges and genuine-sounding negative reviews provides balance, but the high proportion of brief, repetitive positive reviews suggests some artificial boosting.

Review Statistics

3,005
Total Reviews on Amazon
-0.64
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 (3.90 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 (4.54 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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