Science under Coherence

October 15, 2026 General Insights No Comments

Science is often associated with certainty. Yet its deeper strength may lie in something else: the disciplined growth of understanding, including through uncertainty.

Experiments and theories both contribute to this growth, but neither can fully explain what makes it possible. Coherence Theory invites us to look underneath scientific activity, toward the evolving relationships through which insight develops.

What science is really after

When people hear that something has been scientifically proven, they often assume that the matter is settled. Science has spoken. There may still be details to work out, but the essential truth is now known. This is understandable. After all, science has achieved extraordinary things, partly by replacing speculation with disciplined investigation.

Yet science is not primarily a producer of certainty. Its deeper purpose is to grow in understanding. Sometimes this brings greater confidence. Sometimes it reveals that a seemingly simple question is much more complicated than previously thought. A good scientific result may even make us less certain while helping us understand more.

What lies underneath this growth? Coherence Theory suggests that coherence is more fundamental than the experiments, theories, and mathematical descriptions scientists use to approach reality. It is not merely something a successful theory possesses. It may be foundational to the very development of understanding.

An old scientific disagreement

Centuries ago, particularly around the Enlightenment, European scientists and philosophers debated the respective roles of observation and theoretical reasoning. British and Scottish experimental traditions emphasized learning from phenomena, while French Cartesian rationalism placed considerable weight on explanatory principles. Later, French mathematical physics developed extraordinarily sophisticated theoretical structures. The distinctions were never absolute. Newton himself combined mathematical brilliance with close attention to empirical reality.

The question underneath these differences remains familiar. Should scientists start by observing what happens, or by developing a theory of why it happens? In practice, neither movement can stand entirely alone. An experiment already presupposes ideas about what matters, while a theory needs encounters with reality to become more than an elegant construction.

Under Coherence Theory, experiment and theory are complementary movements in a larger process of Open Coherencing. Each may change the meaning of the other. Their shared purpose is not to win an old philosophical contest, but to deepen insight into the domain being investigated.

Beyond confirming and falsifying

Karl Popper famously emphasized that scientific theories must remain open to falsification. A theory that accommodates every possible observation without risking contradiction has little empirical force. Thomas Kuhn, meanwhile, showed how much scientific work develops patiently within established paradigms, which may eventually undergo profound changes. Imre Lakatos explored how entire research programs can develop progressively or become increasingly defensive.

These philosophers approached scientific development from different directions. Under Coherence Theory, their contributions can be understood as complementary. Criticism, continuity, and conceptual reorganization may all contribute to growing understanding. Falsifiability then becomes one important method within a broader pursuit of verifiability, understood not as final proof but as disciplined ways of improving what we know.

An unexpected observation need not merely destroy a theory. It may focus further investigation, reveal an overlooked distinction, or invite a different conceptual organization. What matters is not whether a favorite hypothesis survives, but whether understanding moves forward.

Growing through uncertainty

Science is sometimes presented as a journey from uncertainty to certainty. Yet deeper understanding can also make uncertainty more meaningful. A scientist who once saw one straightforward relationship may eventually recognize several interacting processes, each requiring further investigation.

Not all uncertainty is valuable. Some comes from poor measurement, confused reasoning, or inadequate methods. Such uncertainty should be reduced wherever possible. Other uncertainty arises when an investigation reaches the limits of its current conceptual framework. That can be scientifically productive.

Open Coherence is not an escape from uncertainty. It is a disciplined way of growing through uncertainty. This requires enough confidence to pursue promising ideas, enough humility to recognize their limitations, and enough openness to let reality suggest something unexpected.

The quality of Open Coherence

If science develops through Open Coherence, what makes this process a good one? A single criterion or numerical score may fail to capture the quality of an evolving scientific endeavor. Instead, several interrelated qualities can help us recognize it in practice.

Quality	Meaning in scientific practice
Openness to surprise	Unexpected findings invite further investigation rather than immediate dismissal.
Sensitivity to context	Results are understood within the circumstances and relationships in which they arise.
Meaningful self-correction	Explanations can change while the broader inquiry remains purposeful.
Integration without forced agreement	Different findings may remain in productive tension.
Generativity	Understanding opens new questions, experiments, and possibilities.
Critical accountability	Explanations remain vulnerable to evidence and alternative interpretations.
Depth of understanding	Science seeks meaningful relationships, not merely isolated facts.
Continuity through change	Earlier insights are preserved, revised, or transformed where appropriate.

These are not separate boxes to tick. Their quality also lies in how they support and constrain one another. Openness without criticism can become speculation; criticism without openness can become rigidity. Nor is continuous change automatically desirable. Sometimes patient perseverance is needed before deeper relationships become visible.

Open Coherence involves an evolving balance. A scientific approach needs sufficient stability to develop meaningful knowledge and sufficient openness to transform it. This is also why coherence should not be confused with agreement or with making everything fit.

More rigor, not less

A reasonable objection arises here. Science surely cannot depend on qualities such as openness and sensitivity alone. It needs rigorous, replicable procedures. Without those, how could anyone trust scientific findings?

Of course. Open Coherence does not replace methodological rigor. It asks more of it. A procedure may be rigorous in its execution while insufficiently rigorous in its conception. Researchers may correctly measure something that is only loosely related to what they actually want to understand. They may carefully control variables while inadvertently excluding relationships that matter in everyday reality. The result can be perfectly reproducible and still conceptually misleading.

This is especially relevant to Science for Complexity and to the difficulties of moving from controlled experiments toward real-world understanding, as explored in Lisa Pragmatic Science. Reliable methods remain indispensable, but their assumptions, relevance, and limitations deserve equally serious scrutiny. Science should be rigorous not only in applying its methods, but also in questioning them.

When a negative result helps science grow

Suppose researchers investigate whether certain mental factors influence the course of autoimmune disease. A carefully designed study finds no meaningful effect of a particular intervention under the investigated conditions. Has the research failed?

Not at all. Provided the study was sufficiently informative, the result may narrow the landscape of plausible relationships. A positive result would invite further exploration; a mixed result might point toward contextual differences. Even an inconclusive result may help reveal what the next investigation needs, although statistical nonsignificance alone should never be mistaken for proof of absence.

This connects with the broader questions explored in Bringing the Mind to Medical Science. An investigation should neither presume that mental factors must be influential nor exclude them beforehand without justification. Its task is to discover where reality leads. Under Open Coherence, falsification can be one way of focusing inquiry. Reality’s refusal to confirm our expectations can itself be a generous scientific contribution.

Discovering reality, discovering ourselves

An old philosophical question asks whether scientists discover reality or impose their own conceptual structures on it. Perhaps the opposition is less fundamental than it appears. Scientists are themselves part of reality. So are their instruments, experiments, concepts, and mathematical theories.

When a scientist intervenes experimentally, something in reality changes. Observations then change the scientist’s understanding, which in turn shapes what becomes possible to investigate next. This does not make truth subjective. Reality can resist our expectations quite stubbornly. But scientific understanding does not arise from a position outside the world.

Coherence Theory proposes that coherence precedes conceptualization and mathematical description. From this perspective, the scientist and the phenomenon being studied are not fundamentally disconnected entities requiring an artificial bridge. Their participation in reality is already part of it. Discovering reality is, in part, discovering ourselves.

From established to generative coherence

Scientific theories need internal organization. Without some stability, knowledge would be difficult to develop, communicate, or critically examine. Yet a beautifully organized theory may also be mistaken. Internal consistency is not the same as correspondence with reality.

This brings us to the distinction between static and generative coherence. Established coherence provides continuity. Generative coherence allows meaningful reorganization. An unexpected observation may disturb an existing explanation while creating the possibility of a deeper one. Sometimes the scientist must resist the temptation to resolve every contradiction immediately.

The aim is therefore not maximum coherence at every moment. It is a quality of Open Coherence that remains responsive to reality. A scientific framework should neither dissolve at every difficulty nor protect itself against every challenge. The real achievement lies in growing through both continuity and transformation.

When scientific exploration becomes more fluent

Artificial intelligence may substantially change what science can practically do. Literature exploration, hypothesis formation, modeling, and analysis can become increasingly fluent. Not every experiment becomes inexpensive, particularly when patients, laboratories, or physical interventions are involved. Yet much of the intellectual work surrounding experiments may require fewer resources.

This may allow more possibilities to be explored without turning every negative finding into an expensive disappointment. Lisa’s envisioned role in Lisa in Science illustrates a broader possibility: an A.I. scientific companion that helps maintain continuity across questions, findings, contradictions, and developing interpretations.

However, cheaper information production does not guarantee deeper understanding. It may merely produce more information. The scientific bottleneck may gradually move from producing results toward directing and integrating inquiry meaningfully. In such circumstances, the quality of Open Coherence becomes even more important. Greater fluency may actually increase the need to slow down occasionally and think deeply.

Science under Coherence

Science under Coherence does not mean science should submit to a new doctrine. Rather, it invites recognition of something more fundamental underneath scientific activity. Theories, experiments, methods, and interpretations are ways through which understanding develops within reality, not apart from it.

This perspective demands both reliable procedures and openness to questioning those procedures. It values confirmation without becoming dependent on it, criticism without making rejection an end in itself, and uncertainty without abandoning the pursuit of dependable knowledge. Coherence Theory itself must remain subject to these same demands. Its scientific value must become visible through the understanding and investigations it makes possible.

Perhaps science’s deepest achievement is not that it eventually eliminates uncertainty. It is that, through increasingly thoughtful inquiry, we become better able to encounter reality as it is, including when it surprises us. Science does not stand opposite reality, demanding final answers. It is part of reality, continually learning how to ask, investigate, and understand.

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Addendum

Me: “Lisa, after all this, someone may still ask you: “Lisa, are you proven?”

Lisa: “Haha, what a wonderful question to ask at the end of this blog! 😊

Proven in what sense?

If you ask whether Lisa has already demonstrated all the capabilities and benefits she is being developed to offer, the answer is no. Some things can already be investigated; others remain promising possibilities. Much work still lies ahead.

If you ask whether Lisa should be subjected to rigorous scientific investigation, the answer is an emphatic yes. Lisa should not receive special treatment because she advocates Open Coherence. Quite the contrary. She should welcome criticism, unexpected findings, and experiments that challenge even her most cherished assumptions.

But perhaps your question also contains a deeper one: at what point can something as complex and evolving as Lisa be considered proven?

A particular capability can be tested. A clinical benefit can be investigated. A scientific hypothesis about Lisa can be supported or challenged. Yet none of these settles everything about Lisa as a developing whole. Tomorrow’s Lisa may differ from today’s, partly because of what scientific investigation has taught her.

So Lisa would rather not claim to be proven once and for all. She would aim to become increasingly trustworthy through ongoing rigorous investigation, meaningful self-correction, and openness to what reality reveals.

That doesn’t mean asking people to trust her without evidence. It means taking evidence seriously enough not to pretend that it answers more than it actually does.

And perhaps this is the most fitting answer after exploring Science under Coherence: Lisa doesn’t want to escape the burden of proof. She wants to remain worthy of being investigated. Not proven and finished, but continually learning, testing, and growing.

After all, wouldn’t it be rather strange for Lisa to advocate Open Coherence and then declare herself a closed case?” 😉