Cybernetics of Kindness – 2

In today’s post, I want to explore what I have been thinking of as the Cybernetics of Kindness. In my recent reflections, I have been drawn to the quiet power of compassion and kindness, particularly in a world increasingly fascinated by toughness, dominance, and the mythology of machismo. I want to step back from all that noise, and spend some time examining what actually helps us hold together. What allows systems to remain viable. What allows people to remain human.

Ross Ashby, one of the early pioneers of Cybernetics, gave us the Law of Requisite Variety (LRV). LRV states only variety can absorb variety. Variety, in this context, refers to the number of distinguishable states a system can occupy. A coin, for instance, has a variety of two: heads or tails. It can help resolve a binary choice. But if the number of options increases, say to six, a single coin is no longer sufficient. You need more variety, such as a six-sided die.

This idea anchors a fundamental principle in cybernetics: in order to regulate a system, the controller must match or exceed the complexity of the disturbances it encounters. Otherwise, essential variables, those tied to the survival of the system, start to drift beyond safe limits.

Ashby’s insight was later extended by Aulin-Ahmavaara, who formalized the dynamics of regulation as follows:

H(E) ≥ H(D) − H(A) + H(A|D) − B

Here:

H(E) is the entropy of the essential variables, representing the uncertainty we seek to minimize.

H(D) is the entropy of external disturbances, representing the variety the system must absorb.

H(A) is the entropy of the actions available to the controller.

H(A|D) represents the uncertainty in selecting the right action for a given disturbance, reflecting our ignorance, in a sense.

B is the buffering capacity, representing our passive resilience, such as slack or social safety nets.

Setting aside the formal nature of the equation, this inequality makes something quite clear. If we want to maintain low H(E), to keep our core variables stable and viable, we must either reduce external disturbances H(D), increase the range of available actions H(A), reduce the uncertainty in choosing the appropriate response H(A|D), or increase our buffer (B). When H(E) rises, we begin to lose grip on the things that matter most.

So what does all of this have to do with compassion and kindness?

Kindness as a Variety Amplifier:

There is often a temptation to reach for control by enforcing uniformity through rules, rigid processes, standardization or exclusion. It can offer a sense of order, especially in the short term. But over time, such enforced uniformity reduces H(A), the range of meaningful action within the system. What emerges may appear efficient, but it is brittle. It lacks depth and cannot adapt when disturbances grow or shift. This brittleness becomes visible in bureaucracies that crumble under stress, in supply chains that falter when pushed, in institutions that sacrificed resilience for efficiency.

Systemically speaking, callousness acts as a suppressor of H(A). It narrows the range of potential responses, disconnects individuals, and isolates perspectives. And when we limit the possibilities available to others, we also limit the future options available to ourselves. The adjacent possible, the wellspring of creativity, regeneration, and learning, starts to shrink.

Compassion, in contrast, expands H(A). When we approach others with care, humility, and openness, we create space for more configurations of interaction. This means more ways to respond and more chances to adapt. This kind of engaged kindness also reduces H(A|D), the uncertainty in deciding what to do, because trust and mutual respect improve our collective sensemaking. In addition, compassionate action builds B. It contributes to buffering. A kind gesture, a moment of patience, a willingness to listen: these are not just social niceties. They accumulate into a resilient web of support that makes systems more robust.

Compassion is not soft in the sense of being weak. It is structural. It is a systemic resource that allows viable systems to emerge and sustain themselves without relying on dominance or top-down control.

When we encourage horizontal variety, diversity distributed across people, perspectives, and functions, we enable innovation and responsiveness.

In the Viable System Model (VSM), systems must manage variety along both horizontal and vertical dimensions. Horizontally, we encounter differences between teams, roles, or individuals. Vertically, we deal with differences between operational reality and strategic guidance. Compassion has a place in both. Horizontally, it enables coordination without coercion. Vertically, it allows for meaningful feedback from the front lines to reach decision-makers, and for leadership to guide with empathy and contextual awareness.

Rigid hierarchies may seem to reduce complexity, but they do so at the cost of resilience. They simplify often by silencing. Compassionate engagement, by contrast, helps absorb variety rather than suppressing it. It preserves individuality while allowing for coherence. It creates a connective tissue that allows people to remain distinct without becoming divided.

This is a subtle but important distinction in the VSM. Horizontal variety contributes to richness and adaptability without overloading the center. Vertical variety, meanwhile, requires a capacity for transduction, the ability to translate and make sense of signals across levels of the system. Here again, compassionate attention matters. It reduces the friction and distortion that often creep into communication. It allows transduction to occur more fluidly, because when people feel heard and valued, they are more likely to share what matters, and more likely to hear what is offered in return. Compassion, in this framing, enhances coherence.

A Reentry Perspective: Second-Order Responsibility:

In Spencer-Brown’s Laws of Form, the act of drawing a distinction is the basic move through which meaning arises. But once distinctions reenter their own space, the system becomes reflexive. It observes itself. This is the moment where second-order cybernetics begins, when the observer becomes part of the system.

From this perspective, callousness often begins when we treat people as problems to be solved, rather than as observers with their own valid distinctions. Callousness denies reentry. It insists on fixed categories. It treats systems as closed, and boundaries as final. This increases H(A|D) not only by generating fear or confusion, but by disabling the our ability to learn from observing ourselves. It blinds us to emergent intelligence.

Compassion, in contrast, is a form of second-order responsibility. It allows reentry to take place with integrity. It treats others not as objects to be managed, but as co-observers. It creates space for us to learn from the distinctions others draw. It is, at its core, an epistemic stance, an ethics of perception.

Final Words:

Heinz von Foerster’s ethical imperative states – act always so as to increase the number of choices. My corollary to this is – always opt for situations that preserve and expand future possibilities.

When we increase H(A), we are expanding our collective capacity to act. This is not just about having more tools; it is about having more meaningful responses under pressure. Compassionate leadership creates conditions where people are more likely to contribute, collaborate, and improvise. In a team where people feel psychologically safe, resilience emerges naturally. In a society where people are not afraid to speak up or to try something new, new pathways remain available. Kindness encourages shared authorship. It distributes ownership and allows us to carry forward together rather than collapse under the weight alone.

When we reduce H(A|D), we decrease collective uncertainty. When people are isolated, fearful, or in survival mode, they second-guess themselves. Even when the right response is available, it may go unrecognized or unused. Compassionate engagement, through listening, transparency, and acknowledgment, cuts through this fog.

When we build B, we create shared capacity to absorb the shocks that are always coming. Buffering is not about hoarding resources. It is about building slack and forgiveness into our relationships and institutions. It is the margin that allows recovery. Acts of kindness add this margin. They offer redundancy that may appear inefficient in the short term, but becomes critical when crises hit. You do not build the buffer when the blow arrives. You build it in advance, through everyday acts of care and connection.

And when we keep H(E) low, we protect what we cannot afford to lose. Essential variables like trust, legitimacy, health, and integrity are not self-sustaining. They require ongoing attention. Compassion helps anchor these values. It reduces volatility, grants time to recalibrate, and holds the space within which people and systems can breathe. We do not wait for collapse. We act now, in small, steady ways, to keep the core intact.

Compassion and kindness, in this light, are not optional. They are strategic capacities.

It is how we expand our range of action, instead of retreating into helplessness. It is how we align perception, rather than drown in confusion. It is how we absorb impact, instead of breaking under it. It is how we hold on to what matters, even when the terrain is shifting. It is how we remain in relationship with the future.

I will finish with a quote from Heinz von Foerster:

A is better off, when B is better off.

Always keep learning…

The Extended Form of the Law of Requisite Variety:

This is a follow-up to my last week’s post – Notes on Regulation: In today’s post, I am looking at the Arvid Aulin-Ahmavaara’s extended form of the law of requisite variety (using Francis Heylighen’s version). As I have noted previously, Ross Ashby, the great mind and pioneer of Cybernetics came up with the law of requisite variety (LRV). The law can be stated as only variety can absorb variety. Here variety is the number of possible states available for a system. This is equivalent to statistical entropy. For example, a coin can be shown to have a variety of two – Heads and Tails. Thus, if a user wants a way to randomly choose one of two outcomes, the coin can be used. The user can toss the coin to randomly choose one of two options. However, if the user has 6 choices, they cannot use the coin to randomly choose one of six outcomes efficiently. In this case, a six-sided die can be used. A six-sided die has a variety of six. This is a simple explanation of variety absorbing variety.

The controller can find ways to amplify variety to still meet the external variety thrown upon the system. Let’s take the example of the coin and six choices again. It is possible for the user to toss the coin three times or use three coins, and use the three coin-toss results to make a choice (the variety for three coin-tosses is 8). This is a means to amplify variety in order to acquire requisite variety. From a cybernetics standpoint, the goal of regulation is to ensure that the external disturbances do not reach the essential variables. The essential variables are important for a system’s viability. If we take the example of an animal, some of the essential variables are the blood pressure, body temperature etc. The essential variables must be kept within a specific range to ensure that the animal continues to survive. The external disturbances are denoted by D, the essential variables by E and the actions available to the regulator as A. As noted, variety is expressed as statistical entropy for the variable. As Aulin-Ahmavaara notes – If A is a variable of any kind, the entropy H(A) is a measure of its variety.

With this background, we can note the extended form of the Law of Requisite Variety as:

H(E) ≥ H(D) – H(A) + H(A|D) – B

The H portions of the term represents the statistical entropy for the term. For example, H(E) is the statistical entropy for the essential variables. The larger the value for H, the more the uncertainty around the variable. The goal for the controller is to keep the H(E) as low as possible since a larger value for the entropy for the essential variables indicate a larger range of values for the essential variables. If the essential variables are not kept to a small range of values, the viability of the organism is compromised. We can now look at the other terms of the equation and see how the value for H(E) can be maintained at a lower value.

Heylighen notes:

This means that H(E) should preferably be kept as small as possible. In other words, any deviations from the ideal values must be efficiently suppressed by the control mechanism. The inequality expresses a lower bound for H(E): it cannot be smaller than the sum on the right-hand side. That means that if we want to make H(E) smaller, we must try to make the right-hand side of the inequality smaller. This side consists of four terms, expressing respectively the variety of disturbances H(D), the variety of compensatory actions H(A), the lack of requisite knowledge H(A|D) and the buffering capability B.

As noted, D represents the external disturbances, and H(D) is the variety of disturbances coming in. If H(D) is large, then it also increases the value generally for H(E). Thus, an organism in a complex environment is more likely to face some adversities that might drive the essential variables outside the safe range. For example, you are less likely to die while sitting in your armchair than while trekking through the Amazonian rain forest or wandering through the concrete jungle of a megacity. A good rule of thumb for survivability would be to avoid environments that have a larger variety for disturbances.

The term H(A) represents the variety of actions available to counter the disturbances. The more variety you have for your actions, the more likely you are able to counteract the disturbances. At least one of them will be able to solve the problem, escape the danger, or restore you to a safe, healthy state. Thus, the Amazonian jungle may not be so dangerous for an explorer having a gun to shoot dangerous animals, medicines to treat disease or snakebite, filters to purify water, and the physical condition to run fast or climb in trees if threatened. The term H(A) enters the inequality with a minus (–) sign, because a wider range of actions allows you to maintain a smaller range of deviations in the essential variables H(E).

The term H(A|D) represents a conditional state. It is also called the lack of requisite knowledge. It has a plus sign since it indicates a “lack”. It is not enough that you have a wide range of actions, you have to know which action will be effective. If you have minimal knowledge, then your best strategy is to try out each action at random, and this is highly inefficient and ineffective if time is not on your side. For example, there is little use in having a variety of antidotes for different types of snakebites if you do not know which snake bit you. H(A|D) expresses your uncertainty about performing an action A (e.g., taking a particular antidote) for a given disturbance D (e.g., being bitten by a particular snake). The larger your uncertainty, the larger the probability that you would choose a wrong action, and thus fail to reduce the deviation H(E). Therefore, this term has a “+” sign in the inequality: more uncertainty (= less knowledge) produces more potentially lethal variation in your essential variables.

The final term B stands for buffering (passive regulation). It expresses your amount of protective reserves or buffering capacity. Better even than applying the right antidote after a snake bite is to wear protective clothing thick enough to stop any snake poison from entering your blood stream. The term is negative because higher capacity means less deviation in the essential variables.

The law of requisite variety expresses in an abstract form what is needed for an organism to prevent or repair the damage caused by disturbances. If this regulation is insufficient, damage will accumulate, including damage to the regulation mechanisms themselves. This produces an acceleration in the accumulation of damage, because more damage implies less prevention or repair of further damage, and therefore a higher rate of additional damage.

The optimal formation for the Law of Requisite Variety occurs when the minimum value for H(E) is achieved, and when there is no lack of requisite knowledge. The essence of regulation is that disturbances happen all the time, but that their effects are neutralized before they have irreparably damaged the organism. This optimal result of regulation is represented as:

H(E)min = H(D) – H(A) – B

I encourage the reader to check out my previous posts on the LRV.

Getting Out of the Dark Room – Staying Curious:

Notes on Regulation:

Storytelling at the Gemba:

Exploring The Ashby Space:

Please maintain social distance and wear masks. Stay safe and Always keep on learning…

In case you missed it, my last post was Notes on Regulation:

References:

[1] Cybernetic Principles of Aging and Rejuvenation: the buffering-challenging strategy for life extension – Francis Heylighen

[2] The Law of Requisite Hierarchy – A. Y. Aulin-Ahmavaara