Lexar 4TB NM790 SSD PCIe Gen4 NVMe M.2 2280 Internal Solid State Drive, Up to 7400/6500 MB/s Read/Write, Compatible with PS5, for Gamers and Creators, Black (LNM790X004T-RNNNU)

Lexar 4TB NM790 SSD PCIe Gen4 NVMe M.2 2280 Internal Solid State Drive, Up to 7400/6500 MB/s Read/Write, Compatible with PS5, for Gamers and Creators, Black (LNM790X004T-RNNNU)

ASIN: B0C91RNCDV
Analysis Date: Nov 3, 2025 (re-analyzed Nov 3, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.93
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with several suspicious patterns. While many reviews appear genuine with specific technical details and varied writing styles, there are notable red flags: 1) Review #7 (R1R6HWLRQJNQA7) appears duplicated verbatim as review #14, which is highly unusual for legitimate reviews. 2) Several reviews contain generic marketing language ('blazing fast,' 'highly recommend,' 'best value') without substantial technical substance. 3) The rating distribution is heavily skewed toward 5-star reviews (14/15 reviews), which is statistically improbable for most products. However, the presence of one 4-star review, detailed technical specifications in some reviews, and varied writing styles suggest a mix of authentic and potentially incentivized reviews rather than outright fake content.

Review Statistics

2,168
Total Reviews on Amazon
-0.73
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 (4.20 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 (4.93 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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