Caster Wheels 4 Inch, Swivel Threaded Stem Casters Set of 4 Heavy Duty 2000lbs, 3/8" -16 x 1 (Stem Diameter 3/8", Stem Length 1") Locking Casters Wheels Black

Caster Wheels 4 Inch, Swivel Threaded Stem Casters Set of 4 Heavy Duty 2000lbs, 3/8" -16 x 1 (Stem Diameter 3/8", Stem Length 1") Locking Casters Wheels Black

ASIN: B0CYC4JTTV
Analysis Date: Sep 13, 2025 (re-analyzed Sep 13, 2025)

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
2.74
Original Rating
2.50
Adjusted Rating

Analysis Summary

The reviews show a generally authentic pattern with most users providing specific, practical details about their use cases (BBQ grills, hand trucks, shelving units). The 100% verified purchase rate adds credibility. However, there are some minor concerns: several reviews appear duplicated with identical content but different ratings (e.g., reviews 3 and 13, reviews 7 and 14), suggesting potential manipulation. The overwhelmingly positive sentiment (mostly 5-star) with repetitive praise phrases ('great quality', 'sturdy', 'rolls smoothly') shows some pattern consistency that could indicate incentivized reviews, but the specific usage details and occasional critical notes (wrench size issues, one broken wheel report) balance this out. The product appears legitimate with a small percentage of potentially manipulated reviews.

Review Statistics

146
Total Reviews on Amazon
-0.24
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

Adjusted Rating Explained

The adjusted rating (2.50 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 (2.74 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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