Apple 9.7in iPad (Early 2018, 32GB, Wi-Fi Only, Silver) MR7G2LL/A (Renewed)

Apple 9.7in iPad (Early 2018, 32GB, Wi-Fi Only, Silver) MR7G2LL/A (Renewed)

ASIN: B07G9MSGML
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.67
Original Rating
4.00
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: 1) Extreme rating polarization with 14/16 reviews being 5-star and only one 1-star review, creating an unnatural distribution; 2) Multiple reviews with identical or near-identical content (review #2 and #15 are identical); 3) Several overly generic reviews lacking specific details about iPad features or usage; 4) Unusual repetition of certain phrases like 'no scratches' and battery comments across multiple reviews. However, many reviews contain specific, credible details about refurbished condition, charging behavior, and actual usage scenarios that suggest legitimate customer experiences. The mix of English and Spanish reviews adds authenticity, and the single negative review provides balance.

Review Statistics

1,317
Total Reviews on Amazon
-0.67
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 (4.00 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 (4.67 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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