What percentage of reviews are fake for this product?

43.60% of the analyzed reviews appear to be fake or inauthentic.

What is the authenticity grade for this product?

The product receives a grade of D based on review authenticity analysis.

How many reviews were analyzed?

39 reviews were analyzed for authenticity patterns.

What is the adjusted rating after removing fake reviews?

After removing suspicious reviews, the adjusted rating is 3.73 out of 5 stars.

How does this analysis help consumers?

This analysis helps consumers identify products with manipulated reviews, enabling more informed purchasing decisions based on genuine customer feedback.

DJC Bike Suspension Seatpost Shock Absorber Damper Post 27.2 30.9 31.6 mm, Lightweight Aluminum Body

Name: DJC Bike Suspension Seatpost Shock Absorber Damper Post 27.2 30.9 31.6 mm, Lightweight Aluminum Body
Brand: Amazon
SKU: B08BGB8G1V
Availability: InStock
Rating: 3.7 (39 reviews)

ASIN: B08BGB8G1V

Analysis Date: Aug 14, 2025

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Review Analysis Results

Authenticity Grade

43.60%

Fake Reviews

4.28

Original Rating

3.73

Adjusted Rating

Analysis Summary

Analysis of 39 reviews found 17 potentially fake reviews (43.6%). This product has high fake review activity. Exercise caution when purchasing.

Review Statistics

3,861

Total Reviews on Amazon

-0.55

Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.73 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 (4.28 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.