1600mAh TI-84 Plus CE Battery, 2025 New Upgraded Ultra High Capacity High Performance Li-ion Replacement Battery for Texas Instruments TI-84 Plus CE TI Nspire CX II - TI Nspire CX II CAS, with Tool

1600mAh TI-84 Plus CE Battery, 2025 New Upgraded Ultra High Capacity High Performance Li-ion Replacement Battery for Texas Instruments TI-84 Plus CE TI Nspire CX II - TI Nspire CX II CAS, with Tool

ASIN: B0DHZ56KT1
Analysis Date: Sep 25, 2025

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.50
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows mostly authentic characteristics with minor concerns. All reviews are verified purchases, which adds credibility. The rating distribution (7 five-star, 1 one-star) is reasonable for a functional product like a calculator battery replacement. Review lengths vary appropriately from brief to detailed, with specific product mentions (TI-84 Plus CE) and genuine usage scenarios. The one critical review appears authentic, describing a failed product attempt. However, two reviews (R3LP95GPB4PYGH and R3J6W559UY7AGW) show slightly generic language that could indicate lower effort rather than fakeness. The overall pattern suggests legitimate customer experiences with a product that generally works as expected.

Review Statistics

28
Total Reviews on Amazon
-0.40
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

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 (4.50 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