Our Methodology
Transparent, data-driven approach to finding the best value graphics cards through comprehensive analysis and real-time market tracking.
How We Work
Our platform combines multiple data sources, statistical analysis, and real-time market monitoring to provide objective recommendations. Every value score, price tracking update, and performance comparison is based on verifiable data and transparent calculations.
We believe in providing you with the raw data and clear methodology so you can make informed decisions that match your specific needs and budget constraints.
Data Quality & Verification
Accuracy Measures
- β’ Source Verification: All data cross-referenced with reputable hardware review sites
- β’ Outlier Detection: Statistical analysis to identify and filter anomalous data points
- β’ Consistency Checks: Automated validation against known specifications
- β’ Regular Audits: Periodic manual review of calculations and data sources
Limitations & Considerations
- β’ Performance Variance: Results may vary based on system configuration and settings
- β’ Price Volatility: Rapid market changes may create temporary data gaps
- β’ Regional Differences: Availability and pricing can vary significantly by location
- β’ Sample Bias: Limited availability of certain models may affect scoring
Transparency & Ethics
No Sponsored Content
Our rankings and recommendations are never influenced by manufacturer partnerships or sponsored placements. All GPUs are evaluated using the same objective criteria.
Affiliate Disclosure
We participate in affiliate programs to support our operations, but commission rates never influence our rankings. Our business model aligns with providing accurate information.
Continuous Improvement
We regularly review and update our methodology based on industry changes, user feedback, and data quality improvements. All major changes are documented and explained.
Questions About Our Methodology?
We believe in transparency and are happy to explain any aspect of our data collection, analysis, or recommendation process in greater detail.