Lawn Mower Deck Wheels 4 Pack 5" Anti Scalp Deck Wheels Kit Replace for John Deere AM116299 AM125172 AM133602 M111489 Replace for MTD 734-04039 753-04856 734-3058

Lawn Mower Deck Wheels 4 Pack 5" Anti Scalp Deck Wheels Kit Replace for John Deere AM116299 AM125172 AM133602 M111489 Replace for MTD 734-04039 753-04856 734-3058

ASIN: B0DZ9WC7MY
Analysis Date: Nov 7, 2025 (re-analyzed Nov 7, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.89
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with 9 out of 10 reviews being verified purchases (90% verification rate), which is unusually high. All but one review are 5-star ratings, creating an artificial positivity bias. The reviews exhibit repetitive language patterns with multiple reviews using nearly identical phrasing about 'perfect fit' and OEM comparisons. However, the reviews do contain specific model numbers (X540, X350, LT166, D110, D130) and practical installation details that suggest some genuine user experience. The one 4-star review provides more balanced feedback about weight differences and durability concerns, which adds credibility. The aggregate pattern suggests some potential review manipulation but not overwhelmingly fake.

Review Statistics

70
Total Reviews on Amazon
-0.69
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 (4.89 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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