The 4P4Z-3d framework is a systematic method for analyzing scientific explanations, identifying knowledge gaps, and mapping cross-domain knowledge transfer. It turns David Deutsch's "hard to vary" criterion into a practical analytical tool.
Analyze any explanation from four distinct epistemological viewpoints to uncover hidden assumptions and blind spots.
Map where knowledge sits across four analytical zones, from well-established facts to speculative frontiers.
Evaluate explanations across three dimensions that determine whether they are genuinely hard to vary.
Professional consulting and hands-on workshops for organizations who want the 4P4Z-3d framework applied to their domain.
The education hub. Blog, newsletter, and the free skill file that teaches anyone how to apply the framework to their own work.
Upload a paper. Get a structured Explanation Map. The AI applies the 4P4Z-3d framework to identify what holds up and what doesn't.
None asks "is this a good explanation, and why?" Elicit summarizes. Consensus counts agreement. The 4P4Z-3d framework evaluates explanation quality itself, the thing that actually determines whether knowledge holds up.
Anchored by the book 4P4Z-3d: Structure of Discovery. Built on the epistemology of David Deutsch and Karl Popper. Made practical for anyone who analyzes scientific claims.