Amazon Basics Rechargeable 9 Volt Batteries, 4-Pack, NiMH, 200 mAh, Long Lasting Power, Recharge up to 1000x Times , Pre-Charged

Amazon Basics Rechargeable 9 Volt Batteries, 4-Pack, NiMH, 200 mAh, Long Lasting Power, Recharge up to 1000x Times , Pre-Charged

ASIN: B07PHCSNZ2
Analysis Date: Sep 28, 2025

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.80
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with several suspicious patterns. While many reviews contain specific usage details and technical specifications that suggest genuine experiences, there are notable red flags. The product has an overwhelmingly positive rating distribution (12 five-star, 1 four-star, 1 three-star) which is somewhat unbalanced. Several reviews use generic, marketing-like language ('Great Batteries!', 'work good, long lasting!') without substantial detail. There are multiple reviews in different languages (French, Italian, Dutch, Japanese, Spanish) that are very brief and formulaic, which could indicate coordinated fake reviews. However, the presence of detailed technical reviews discussing specific chargers (XTAR VC4SL, EBL 12 Bay), capacity testing results, and multi-year usage experiences provides counterbalancing authenticity. The duplicate review (RB5L1J4CSHH52 appears twice) is particularly concerning.

Review Statistics

20,409
Total Reviews on Amazon
-0.70
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 (4.80 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.

Share This Analysis

Learn More About Fake Reviews

Analyze new product