PNY NVIDIA GeForce RTX™ 5090 32GB Overclocked Triple Fan Graphics Card (DLSS 4, PCIe® 5.0, HDMI®/DP 2.1, 3.5-Slot)

PNY NVIDIA GeForce RTX™ 5090 32GB Overclocked Triple Fan Graphics Card (DLSS 4, PCIe® 5.0, HDMI®/DP 2.1, 3.5-Slot)

PNY NVIDIA GeForce RTX™ 5090 32GB Overclocked Triple Fan Graphics Card (DLSS 4, PCIe® 5.0, HDMI®/DP 2.1, 3.5-Slot)

ASIN: B0DTJF8YT4
Analysis Date: Aug 8, 2025

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Review Analysis Results

A
Authenticity Grade
0.00%
Fake Reviews
5.00
Original Rating
5.00
Adjusted Rating

Analysis Summary

Analysis of 135 reviews found 45 potentially fake reviews (33.3%). This product has moderate fake review activity. Exercise some caution.

Review Statistics

About Review Data Collection

We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.

31
Total Reviews on Amazon
9
Reviews Analyzed
9
Genuine Reviews
0
Fake Reviews
0.00
Rating Difference

Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.

Free, quick to install, and works on Chrome, Edge, Brave, and other Chromium browsers.

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade A mean?

This product has excellent review authenticity. Our AI detected very few suspicious patterns, suggesting the vast majority of reviews are genuine customer experiences.

Adjusted Rating Explained

The adjusted rating (5.00 stars) represents what we estimate this product's rating would be if fake reviews were removed. The ratings are similar, suggesting fake reviews aren't significantly impacting the overall 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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Learn More About Fake Reviews

How Our Analysis Works

Detailed explanation of our AI methodology

Spotting Fake Reviews Yourself

10 warning signs to watch for

Frequently Asked Questions

Common questions about our tool

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