211 Unpredictability Is Not a Property of Reality

Today, it is often claimed that certain physical phenomena are fundamentally non-computable, even when the governing laws are known. This idea draws on notions such as undecidability, rooted in the work of Alan Turing. According to this view, there exist situations in which no calculation can, in principle, produce a result. Unpredictability is thus no longer seen as a limitation of our capabilities, but as an intrinsic property of reality itself. This implies that part of the world would remain forever beyond any form of determination.

However, a real phenomenon cannot exist without being defined by specific conditions. To exist is to depend on a state, a context, and interactions that shape its possible outcomes. When these elements are present, the phenomenon necessarily possesses a structure that makes it, in principle, explainable. Therefore, the impossibility of computation cannot originate from the phenomenon itself. It arises only when the conditions taken into account — information, model, or system boundaries — fail to correspond to its actual nature. The issue does not lie in reality, but in the way we access it.

In every case, the failure of computation reduces to concrete and identifiable situations. Either the available information is insufficient to properly define the conditions. Or the way the phenomenon is described does not match its real structure. Or the required computation exceeds practical capabilities. No other cases are needed. In none of these situations is it necessary to invoke an impossibility arising from the phenomenon itself. The limitation is always localized within the conditions of analysis.

In this context, the idea of intrinsic physical undecidability loses its explanatory power. It replaces precise analysis with the assertion of a supposed ultimate limit. Reality, meanwhile, remains coherent and well-defined, even when computation cannot be carried out. Unpredictability then becomes a sign of a mismatch between observation and model, rather than a property of the world. This shift restores continuity between existence and understanding.

A real phenomenon cannot be both existent and fundamentally incalculable, since existence necessarily implies being determined by conditions that make its evolution explainable.

If the laws are truly known and properly matched to the phenomenon, then they must, in principle, allow its behavior to be derived; otherwise, they do not correspond to the real level of the phenomenon.

Unpredictability cannot be a property of reality itself, because any impossibility of calculation arises from conditions of access, description, or processing, not from the phenomenon.

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Persistence as the Condition of Existence

This leads to a decisive reinterpretation of what is commonly described as instability or transition. Rather than viewing such states as brief but real configurations, they must be understood as failures of establishment. A bond that does not hold is not weak; it is absent. An organization that cannot be maintained is not unstable; it has not achieved structural existence. In this sense, disappearance is not a phase following formation, but evidence that formation never truly occurred at the structural level.

From this standpoint, function cannot be separated from persistence. What is observed as function within a system is only valid insofar as it is sustained over time. Otherwise, it represents a temporary configuration lacking structural grounding. This distinction is essential, as it prevents the misidentification of fleeting arrangements as meaningful processes, and restores coherence between observation and reality.

Such a principle applies consistently across all scales of analysis. In molecular systems, biological organizations, and physical interactions alike, existence depends on the stability of the underlying relations. If these relations cannot be maintained, there is no stable state, no preserved intermediate, and no identifiable structure.

1. Existence is conditional upon persistence, not appearance What appears momentarily cannot be granted structural existence. Persistence is not a consequence of existence; it is its prerequisite. This reverses the conventional assumption that appearance precedes validation.

2. Instability is not a degraded form of structure, but the absence of structure. A system that cannot maintain itself does not represent a weakened structure. It represents a failure to achieve structural status altogether. Instability is therefore not a property, but a diagnostic of non-existence at the structural level.

3. There is no meaningful distinction between “transient structure” and “non-structure” What is commonly labelled as transient or intermediate does not constitute a valid structural category. Without persistence, such configurations are observational artifacts rather than real entities.

4. Formation cannot be separated from maintainability

A process described as formation is only valid if the resulting configuration can be sustained. Otherwise, the notion of formation itself becomes invalid. There is no formation followed by disappearance — only failed establishment.

5. Function is valid only under conditions of temporal continuity Function cannot be attributed to a system unless it is sustained. What is perceived as function in a non-persistent configuration is merely a temporary alignment without structural legitimacy.

6. Stability is not a secondary property but the primary ontological condition. Rather than being an added feature, stability defines whether a system exists at all. It is the foundational criterion that precedes all other descriptors.

7. Disappearance is not an event, but evidence of non-establishment When a structure vanishes, this should not be interpreted as its destruction, but as proof that it never achieved structural reality. Disappearance reflects a lack of persistence, not a loss of existence.

8. Observational frameworks must distinguish between persistence and perception. What is observable is not necessarily what exists. A rigorous framework must separate perceptual detection from structural validation, using persistence as the decisive criterion.

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Prior Stability and the Illusion of Life’s Origin

This interpretation relies on a persuasive but fragile analogy, one that confuses apparent similarity with true structural equivalence. In reality, present-day hydrothermal systems are already regulated environments, where thermal, chemical, and energetic flows operate within a form of dynamic consistency. Their relative stability is not raw or chaotic, but emerges from a balanced interaction of multiple factors, making them structured systems rather than primitive ones.

The microorganisms inhabiting these environments do not testify to the emergence of life, but rather to its capacity to adapt within a pre-established and stable context. Their presence shows that life can persist under extreme conditions, provided those conditions remain sufficiently consistent to support internal organization. This leads to an essential distinction: surviving in an extreme environment does not mean originating from it. The life we observe is already organized, coherent, and stable, and cannot be reduced to a simple byproduct of its surroundings.

What these environments truly reveal is not the birth of life, but the minimal conditions required for its persistence once it already exists. They illustrate the presence of local energetic balance, where variations remain within ranges compatible with biological stability. In this sense, such environments are not sites of spontaneous emergence, but zones where variability is moderated enough to allow living systems to endure. The misunderstanding arises from interpreting these balanced states as primitive conditions, when in fact they are already established states.

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Why Coherence Does Not Create Reality

The essential question is not whether microorganisms can survive in altered environments, but whether the precise physical conditions that sustain their activity can be reproduced and stabilised. Absent these conditions, the process remains theoretical, not because of biological limitations, but because the structural framework required for its expression is incomplete.

This distinction becomes even more critical when extended to cosmological interpretation. What is often described as the emergence of “harmonies” within physical systems should not be understood as the creation of new phenomena. Rather, these harmonies represent intrinsic coherences already embedded within the system’s structure. They do not arise from the act of observation itself, but from the alignment of conditions that allow them to become perceptible. Phase coherence, signal stability, and the suppression of parasitic distortions are not generative processes; they are enabling conditions that reveal what was already present.

Such a perspective imposes a structural reversal in interpretation. Observation ceases to function as a selector of possibilities and instead becomes a revealing mechanism. The system does not adapt to observation; observation adapts to the system’s level of coherence. This inversion is essential, as it prevents the attribution of causal power to measurement where none exists. The appearance of order is not the consequence of intervention, but the manifestation of an already regulated configuration.

This principle aligns with a broader structural reading of the universe in which apparent anomalies — often interpreted as missing mass, exotic particles, or unexplained energetic behaviours — may instead reflect regulatory mechanisms intrinsic to the system itself . What is perceived as absence or irregularity may, under a different interpretative framework, correspond to zones of equilibrium, absorption, or redistribution. In such a model, stability is not imposed externally but maintained through internal regulation, where excess energy is continuously managed rather than accumulated.

It would therefore be incorrect to conclude that the emergence of observable coherence produces a perturbation within the universe. A system governed by intrinsic regulation — capable of absorbing, redistributing, or neutralising excess energy — cannot be destabilised by the mere refinement of observation. Increased precision does not introduce imbalance; it reduces interpretative noise. What appears as newly discovered order is, in reality, the unveiling of mechanisms that have always sustained equilibrium.

In this sense, coherence must not be interpreted as an active force acting upon the system, but as evidence of its underlying stability. It does not generate structure; it exposes it. The universe does not become ordered when we observe it more accurately; it reveals the order that was previously concealed by insufficient observational conditions.

This distinction carries significant implications. It challenges the tendency to interpret every newly accessible phenomenon as a transformation of reality itself. Instead.

In this light, harmony is no longer a phenomenon to be explained, but a criterion of correct observation. Where coherence appears, it signals not transformation, but alignment between the system and the observer. The task of science is therefore not to produce reality through interpretation, but to refine the conditions under which reality can disclose itself without distortion.

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