Marvel X-Men Xavier Institute Blackbird Long Sleeve Mens Adult T-Shirt

Marvel X-Men Xavier Institute Blackbird Long Sleeve Mens Adult T-Shirt

ASIN: B0864SWBYY
Analysis Date: Oct 19, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.33
Original Rating
3.70
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with several suspicious patterns. While most reviews appear genuine, there are notable red flags: one review (R1EV86P4QYRAGQ) appears duplicated verbatim, suggesting potential manipulation. The rating distribution is heavily skewed toward 5-star reviews (10 out of 15), with only one 1-star review creating an artificial-looking distribution. Several reviews use generic, marketing-style language ('every comic book fan's dream,' 'excelente servicio calidad y precio') that reads like promotional copy rather than authentic customer feedback. However, the presence of mixed-language reviews (Spanish and English), specific fit complaints, and detailed negative feedback about fabric quality and design elements provides balancing authenticity signals. The moderate fake percentage reflects these mixed signals rather than clear evidence of widespread manipulation.

Review Statistics

168
Total Reviews on Amazon
-0.63
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 (3.70 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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