LIBRATON Oil Filter Wrench, 12" Oil Filter Pliers, Quick Adjustable Oil Filter Removal Tool with Spring Structure (2-3/8" to 4-3/4" Opening), One-Hand Use, for Cars, Motorcycles & Trucks

LIBRATON Oil Filter Wrench, 12" Oil Filter Pliers, Quick Adjustable Oil Filter Removal Tool with Spring Structure (2-3/8" to 4-3/4" Opening), One-Hand Use, for Cars, Motorcycles & Trucks

ASIN: B0FBGGT9HN
Analysis Date: Nov 9, 2025 (re-analyzed Nov 9, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
5.00
Original Rating
4.30
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: detailed technical descriptions from multiple reviewers (reviews 1, 2, 4, 7), specific vehicle/model references (Corolla, ATV, Acura MDX), and varied writing styles. However, concerning patterns include: 100% 5-star rating distribution (13 reviews), several overly brief/enthusiastic reviews lacking substance (reviews 3, 8, 9, 12), and one duplicate review (review 2 appears twice). The multilingual content (Spanish, German, French) could indicate genuine international usage but also creates verification challenges. The aggregate suggests a legitimate product with some potentially incentivized or low-effort reviews boosting the rating.

Review Statistics

39
Total Reviews on Amazon
-0.70
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 (4.30 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 (5.00 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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