The overarching framework and principles of metascience—the empirical study of science itself. Metascience theory posits that the scientific enterprise can be analyzed with its own tools: data, hypothesis testing, and statistics are used to diagnose problems like publication bias, p-hacking, low replicability, and inefficiency in funding. It treats science as a complex system whose health can be measured and optimized. The core theory is that science is not automatically self-correcting; it requires deliberate, evidence-based institutional reform to function reliably.
Example: A Metascience Theory project might analyze 10,000 grant proposals to test if peer review truly selects for the most innovative science, or merely reinforces established paradigms. The theory guides the hypothesis that "conservatism bias" is systemic, and the findings could lead to reformed funding models like lottery systems.
by Nammugal February 5, 2026
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