Independent Research · 2026

Generative Geometry

A structural framework for how change moves — derived from first principles and tested across domains.

Every dissipative process — from stellar evolution to protein folding to cancer progression to transformer models — follows the same internal geometry. Two irreducible operations interact in a mandatory cyclic order, producing four phases, sixteen positions, and a generative property: each completed cycle produces higher order than the one before.

These papers develop the framework from its mathematical foundations and apply it across physics, biology, medicine, and technology. Each paper is independent and falsifiable.

10
Papers published
7
Scientific domains
384/384
Positions mapped
13 Mar 2026
Publication date
The Framework
Change is not random. It has a structure. That structure is the same at every scale.

Generative Geometry proposes that all dissipative processes — processes that consume energy and produce order — are governed by the same internal logic. Two operations, irreducible to each other, interact in a fixed cyclic order. One holds: it maintains coherence, resists separation, confines. The other crosses: it mediates exchange, enables encounter, moves across boundaries. Their interaction produces exactly four phases, each one the required input for the next. The sequence cannot be reversed.

Each cycle is a spiral, not a loop. What comes out is always more organised than what went in. This generative property — the third mechanism alongside mutation and selection, alongside force and field — is what the papers test and apply.

Operation one
Hold
Maintains coherence. Resists separation. Confines. In physics: gravity and the strong force. In biology: structural stabilisation. In teams: shared purpose.
Operation two
Cross
Enables encounter. Mediates exchange. Moves across boundaries. In physics: electromagnetism and the weak force. In biology: functional interaction. In teams: role encounter.
H × C = 4  →  Φ > 0
H = hold  ·  C = cross  ·  Φ = generative output
All Papers · Zenodo · March 2026
Intervention & Medicine
Intervention framework · 8 strategies
The Geometry of Intervention
Eight strategies for influencing any four-phase process, derived from first principles
Derives a complete framework for intervening in any process that proceeds through four sequential phases. Eight strategies (four to resist a crossing, four to enable it), a formula for the effectiveness of each — Crossing(k) = P&sub0; × rk — a proof that no strategy is geometrically privileged over any other, and structural conditions that determine which strategies are available at each point. Going one fractal level deeper and covering all four sub-phases within any single phase produces approximately 96% blockade regardless of which phase is chosen.
13 March 2026 DOI: 10.5281/zenodo.19007218
Oncology · 36 intervention points
A Structural Argument for Multi-Angle Cancer Intervention
What the mathematics of sequential thresholds predicts about combination therapy
If cancer is a dissipative system running a sixteen-step cycle, every step contains a threshold that must be crossed for the tumour to advance. The mathematics of sequential gates shows that attacking a threshold at all four of its sub-steps blocks 99% of crossings, while attacking a single sub-step blocks only 70%. Four moderate drugs beat one miracle drug. Thirty-six intervention points are identified across nine actionable positions in the tumour lifecycle, with the molecular target and existing drug named at each. 89% are approved or in clinical trials.
13 March 2026 DOI: 10.5281/zenodo.19007259
Extinction therapy · Cancer ecology
The Four Ecological Perturbations
A structural prediction for extinction therapy derived from the geometry of intervention
Gatenby et al. (2020) demonstrated cancer extinction through a two-step strategy. They identified four categories of second-strike perturbation: habitat disruption, demographic perturbation, predator introduction, and foraging restriction. This paper proposes these four categories are the four operations of Generative Geometry. Three testable predictions follow: all four categories are equally effective; covering all four simultaneously should produce ~96% blockade regardless of timing; and the escalation sequence (widen before deepen, deepen before force) should outperform all alternative orderings. Testable in the existing Gillespie simulation framework.
13 March 2026 DOI: 10.5281/zenodo.19007347

Raimo van der Klein, 2026. All papers published open access under CC BY 4.0.
The framework is developed further in Riding Change: How Change Moves, and How to Move With It.
Hardcover · IngramSpark · Q2 2026 · ISBN 978-90-836865-0-9

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