Sapphire 11348-01-20G Nitro+ AMD Radeon™ RX 9070 XT Gaming OC Graphics Card with 16GB GDDR6, AMD RDNA 4
Sapphire 11348-01-20G Nitro+ AMD Radeon™ RX 9070 XT Gaming OC Graphics Card with 16GB GDDR6, AMD RDNA 4
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Review Analysis Results
Analysis Summary
Analysis of 156 reviews found 24 potentially fake reviews (15.4%). This product has low fake review activity and appears trustworthy.
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.
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
This is a premium graphics card likely positioned in the $800-$1,000 range based on specs and brand. Wait for verified pricing and reviews before purchasing, and compare against NVIDIA's RTX 4070 Ti Super and AMD's own 7900 GRE for value. Consider buying during major sales events for potential savings.
MSRP Assessment
Market Position
Buying Tips
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 (4.69 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.
