Thought position

Clarity is useful, but it is not the same as health. A living system is not healthy because it has removed all noise. It is healthy when it can hear which disturbances matter.

I have worked for years in environments where order is almost a religion. A process must be correct. A dashboard must be green. A change programme must have a clear end state, with a clear path towards it. And again and again I see the same thing happen: as soon as renewal becomes serious, the first impulse is to remove the noise from it. The contradictory signals. The uncomfortable exceptions. The voice that does not yet fit the story.

The problem is not that order is worth pursuing. The problem is that we have started to confuse clarity with health, and noise with failure.

Clarity as ideology

There is nothing strange about the desire for overview. An organisation that does not know what it is doing cannot function. But at some point something tips. Clarity stops being a tool and becomes a moral category: what is clear is good; what remains complex is distrusted.

A policy that can be summarised in three sentences is seen as strong. A policy that admits reality does not fit into three sentences is seen as weak, even when that admission is the more honest of the two.

That ideology has a history. It is largely inherited from a worldview in which nature was seen as a clock: predictable, calculable and, with enough knowledge, fully controllable. That image has given us a great deal. It has also taught us to see everything that cannot be predicted as a gap in our knowledge, rather than as a property of reality itself.

Under that assumption we built systems that actively filter out deviation. Processes that leave no room for the exception. Triage models that force a situation into a category, even when it falls just beside it. Dashboards that summarise status into a colour, even when that colour says little about what is really happening. Not because someone consciously decided to ignore complexity, but because the system was designed only to register what already fits into a box.

What nature shows us

There is no place in nature where true silence exists. What we call rest is usually balance that is constantly adjusting itself: temperature, pressure, movement, all in slight unrest. The physicist Ilya Prigogine showed that some systems do not survive despite instability, but because of it. They use small disturbances to maintain themselves and take on new forms. A system that is fully stable, in the strict sense, is a system that no longer does anything. In that physics, it is dead.

The same pattern appears in flocking. No bird directs the flight. Each bird follows simple rules: keep distance, align with neighbours, move along. Out of those local deviations emerges a pattern no one designed, but that still functions. The small, continuous corrections are not noise in the system. They are the system.

This is not a romantic defence of disorder. It is another lens on what order actually is: not the absence of deviation, but the continuous processing of it.

The human as an open system

The same pattern repeats in us. We want to think clearly and speak unambiguously, and yet we never quite manage it. Thoughts overlap, feelings colour judgement, a conversation moves differently than planned. Usually that is not a defect. It is how a living system works.

Take emotion. In many organisations emotion is treated as something that disturbs decision-making: something to manage, calm down, professionalise away. But emotion often registers tension faster than analysis can. Someone who feels uneasy about a decision before they can explain why may be picking up something the numbers do not yet show. Filter that signal out because it is not data, and you often filter out the earliest warning there was.

Or take misunderstanding. We treat unclear communication as a fault to be trained away: sharper wording, clearer definitions, tighter protocols. Sometimes that helps. But part of what we call misunderstanding is actually the moment when it becomes visible that two people experience reality differently. That difference is itself information. Polishing away the misunderstanding can also polish away the difference it revealed.

What noise is, and what it is not

This is not an argument for embracing all noise. Some noise is simply disturbance: a tired assessor, an accidental mistake, a distraction without meaning. That noise can be reduced.

The distinction that matters is this: noise is a signal when it shows something the system itself cannot yet express. A report that does not fit a category tells you something about the categories, not only about the report. A team that meets a KPI and still feels powerless tells you something about what the KPI does not measure. A citizen who has to explain the same situation three times tells you something about what the system does not remember or understand.

That noise does not disappear when you tighten the process. It disappears from view, while continuing to exist outside the attention of those who should be looking at it.

Working within noise

The practical consequence is a shift in posture more than a new method. Not: how do we remove the noise? But: what is this noise trying to say, and what would be a responsible response?

It begins with observing without immediately judging: noticing where tension lives before deciding whether that tension is legitimate. It continues with interpretation: not looking for the single right reading, but for what different perspectives reveal about the same signal. It asks for small, reversible steps rather than grand interventions: moving without full overview, and only then evaluating what the movement showed. And it asks us to hold on to what we learn, not as a closed conclusion, but as something the system keeps adjusting.

This rhythm, observing, interpreting, moving, embedding, is the practical core of what I call the NOISE framework. The concrete form of it, with questions and working practices, belongs elsewhere. Here the principle matters: a system that keeps this rhythm alive keeps learning. A system that skips it because it already knows the outcome becomes rigid.

The limit of this idea

There is a risk inside this whole argument, and I do not want to polish it away. Embracing noise can become its own kind of laziness: a way to justify every uncomfortable deviation, or to give even more room to those who are already heard.

Not all noise has the same chance of being heard. Some voices carry naturally, through position, language and the fact that the system already recognises their tone. Other voices are treated as disturbance, however clearly they speak, simply because the system is not used to recognising them as signal. Listening to noise is therefore not a neutral act. It is partly a choice about who you consider worth listening to.

That is not a reason to abandon the idea. It is a reason to take it more seriously than an open mind alone. Whoever wants to read noise as signal must also ask: whose noise gets through to me, and whose noise remains inaudible, not because it has nothing to say, but because I am not used to hearing it?

What keeps moving

Clarity has a price, and that price is rarely named aloud. The question is not whether we can avoid that price completely. We cannot, and we should not. The question is whether we are willing to keep hearing the noise that tells us when the price becomes too high.

Not all noise must be solved. Some noise must be protected, not because it is pleasant, but because it is the only thing still showing what the system itself cannot say.