Makeup Brushes 22 Pcs Makeup Kit,Foundation Brush Eyeshadow Brush Make up Brushes Set (Pink, 22 Piece Set)

Makeup Brushes 22 Pcs Makeup Kit,Foundation Brush Eyeshadow Brush Make up Brushes Set (Pink, 22 Piece Set)

ASIN: B0B62TKJRB
Analysis Date: Nov 4, 2025 (re-analyzed Nov 4, 2025)

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.33
Original Rating
3.40
Adjusted Rating

Analysis Summary

This product shows moderate signs of review manipulation with several concerning patterns. The rating distribution is heavily skewed toward 5-star reviews (10 out of 15 reviews), with only a few balanced 3-star and 4-star reviews and one 1-star review. There are multiple duplicate reviews from the same users (RLWRC871G6GU7 and R1Y7XDGQ9UDFR5 appear twice with identical content), which is a strong indicator of manipulation. Several reviews use generic, repetitive language focusing on price value rather than specific product performance. The reviews lack detailed, nuanced experiences and instead rely on common marketing phrases. However, the presence of some legitimate-sounding critical reviews (3-star ratings with specific complaints about shedding bristles) provides some balance to the overall assessment.

Review Statistics

24,155
Total Reviews on Amazon
-0.93
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 (3.40 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 (4.33 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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