Methodology
Metopedia uses an iterative research method that begins with independent modeling before later comparison with academic literature. The aim is to reduce anchoring effects, test assumptions directly, and preserve a clear separation between initial inference and later validation.
Core procedure
- learn a fundamental concept
- model it independently from pre-existing knowledge
- review academic literature only after the model has been developed
- align, refine, or discard claims that do not survive comparison
- reassess possible personal bias
- repeat the cycle on the next layer of the problem
Segment-based structure
Research is divided into segments that can last from days to a year. Each segment is used to gather observations, build models, compare them against later literature, and remove unsupported assumptions. A deliberate shift to another discipline is used to reduce attachment and restore perspective before reassessment begins again.
Working principles
- separate observation from conclusion
- define terms before extending them
- prefer revision over rhetorical defense
- treat discarded claims as part of the learning process
- use later literature as a quality check, not as the first source of structure
Basic cognitive route
| Cognitive route | Description |
|---|---|
| Data collection | Gathering raw information from various sources for further analysis. |
| Pattern recognition | Identifying recurring structures to organize data meaningfully. |
| Working memory | Holding and dynamically manipulating data to bridge patterns. |
| Synthesis | Integrating multiple data points into cohesive understanding. |
| Intuitive thinking | Leveraging subconscious processing for hypothesis generation. |
| Predictive profiling | Anticipating future outcomes based on current patterns. |
| Source analysis | Evaluating data reliability and validity. |
| Critical thinking | Challenging assumptions and validating conclusions. |
| Temporal reasoning | Considering the influence of time and future developments. |
| Qualitative analysis | Examining non-numerical data, adding depth and context. |
| Understanding perspective | Considering subjective viewpoints for comprehensive analysis. |
| Metacognition | Reflecting on and improving thought processes. |
| Trend analysis | Identifying long-term patterns to forecast directions. |
| Inference | Drawing logical conclusions from incomplete data. |
| Cognitive bias recognition | Identifying and mitigating distortive biases. |
| Systems thinking | Holistic evaluation of interrelated components. |
| Assessment | Evaluating current understanding to guide decision-making. |
| Iterative refinement | Adjusting models based on new feedback or information. |
| Lateral thinking | Employing creative, unconventional problem-solving methods. |
| Feedback integration | Using trial feedback to refine and improve understanding. |
Context
Within Metopedia, this method is used as a guard against premature closure. It assumes that error correction is central to inquiry and that being wrong, when recognized and revised, is part of the research process rather than a failure of it.