PILOCEL 9V Batteries 6 Pack, 9 Volt Alkaline Battery, Long-Lasting 9V Battery for Smoke Detector, 10-Year Shelf Life 6 Count

PILOCEL 9V Batteries 6 Pack, 9 Volt Alkaline Battery, Long-Lasting 9V Battery for Smoke Detector, 10-Year Shelf Life 6 Count

Buy PILOCEL 9V Batteries 6 Pack, 9 Volt Alkaline Battery, Long-Lasting 9V Battery for Smoke Detector, 10-Year Shelf Life 6 Count: 9V - Amazon.com ✓ FREE DELIVERY possible on eligible purchases

ASIN: B0D4DJ8WD3
Analysis Date: Oct 6, 2025

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Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
4.70
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows moderate concerns with 25% estimated fake reviews. Analysis reveals: 1) Extreme rating bias with 9 out of 10 reviews being 5-star (90%), creating an unnatural distribution that doesn't reflect typical consumer variance; 2) All reviews use the same 'U' verification status, which could indicate coordinated posting patterns; 3) While the limited text data prevents detailed linguistic analysis, the uniformity in format and rating pattern suggests potential manipulation. However, the presence of one 3-star and one 4-star review provides some authenticity balance, preventing a higher fake percentage assessment.

Review Statistics

1,918
Total Reviews on Amazon
-0.60
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 (4.10 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 (4.70 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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