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A meta-scientific framework proposing that science must be radically open about its processes, assumptions, limitations, and internal workings—not merely its final results. It demands that researchers disclose funding sources, methodological choices, raw data, analytical decisions, and even failures. The theory argues that without such transparency, science risks becoming a black box of authority rather than a self‑correcting enterprise. It underpins movements like open science, preregistration, and data sharing, treating opacity as a threat to epistemic integrity.
Example: “The replication crisis pushed the theory of scientific transparency into practice: journals now require raw data and analysis scripts, forcing researchers to show their work, not just their conclusions.”
by Abzugal Nammugal Enkigal March 24, 2026
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A specific application of transparency to the scientific method itself: the procedures, protocols, and decision‑points of research must be fully documented and made accessible. It calls for sharing detailed methodologies, including negative results, failed experiments, and deviations from protocol. The goal is to allow replication, scrutiny, and improvement, transforming science from a showcase of success into an open workshop of trial and error.
Example: “The theory of transparency of the scientific method led to registered reports: researchers publish their study design before collecting data, ensuring that later results are judged against the original plan, not cherry‑picked.”
by Abzugal Nammugal Enkigal March 24, 2026
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