P-Series: Predictions and Tests
The P-series states precise, falsifiable predictions with fixed mathematical forms and clear falsification criteria.
These papers make the theory empirically testable and enable unambiguous falsification. Each prediction must specify exactly what will be observed if Cohesion Dynamics is correct.
What the P-Series Establishes
The P-series provides:
- Precise mathematical forms for predicted phenomena
- Clear falsification criteria
- Specific observational signatures
- Unambiguous empirical tests
Goal: Make the theory testable by stating what must be observed if Cohesion Dynamics is correct, enabling unambiguous empirical falsification.
Papers
P-DM1 — Dark Matter Halo Core Scaling
Falsifiable dark matter prediction
Predicts a specific scaling relationship for dark matter halo cores that differs from standard cold dark matter predictions. Provides precise mathematical form and clear observational tests.
If observations contradict this prediction, it would falsify this aspect of Cohesion Dynamics.
Status: Draft
Who Should Read This Series?
This series is for you if:
- You are an observational astronomer or experimentalist
- You want to test Cohesion Dynamics empirically
- You need precise predictions to compare with data
- You want to know how to falsify the theory
This series is not:
- Explaining how predictions are derived (see B-series and G-series for derivations)
- Providing conceptual foundations (see F-series for that)
- Concerned with mechanism details (see M-series for that)
How to Evaluate P-Series Papers
Appropriate criticism:
- Precision of prediction mathematical forms
- Clarity of falsification criteria
- Feasibility of observational tests
- Whether predictions are genuinely distinguishable from alternatives
- Completeness of predicted observational signatures
Not appropriate:
- Criticizing predictions for being testable (that is the point)
- Demanding predictions before mechanisms are specified
- Treating lack of confirmation as falsification without proper testing
Additional Resources
For context on how the P-series fits into the broader research programme, see the Research Programme page.
Predictions build on derivations from the B-Series and G-Series and may reference test specifications from the R-Series.