A1964 A2251 Batterie de rechange pour MacBook Pro A1989 pour batterie A1964 de 13" A1989 (mi-2018, 2019), A2251 (2020)

A1964 A2251 Batterie de rechange pour MacBook Pro A1989 pour batterie A1964 de 13" A1989 (mi-2018, 2019), A2251 (2020)

ASIN: B0BXP8K1R5
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

D
Authenticity Grade
45.00%
Fake Reviews
3.63
Original Rating
2.80
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. There's a clear bimodal distribution with mostly 5-star and 1-star reviews, suggesting potential review manipulation. Multiple reviews appear to be duplicate translations (English/French, English/Spanish, English/German), which is a common tactic in fake review campaigns. Several 5-star reviews contain overly technical specifications and marketing language that reads like product descriptions rather than genuine user experiences. The verified purchase rate is mixed, with some suspicious patterns in both verified and unverified reviews. However, the presence of detailed negative reviews with specific installation issues provides some balance and authenticity to the dataset.

Review Statistics

38
Total Reviews on Amazon
-0.83
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 (2.80 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 (3.63 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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