(P5): Creating Possibility Spaces

An ocean tidal pool as an example of a possibility space.

Possibility Spaces are generated by Governing Constraints-not directly, as in a machine, but by, as it were, increasing the likelihood of interaction among what is within the possibility space. The Tidal Pool in the image is a sort of perfect example of the possibility space concept. The life generated in, and adapted to, a tidal pool is uniquely resilient to change, and elegantly adaptive in its response to change because of the exposure to constantly shifting disturbances. Such resilience is the promise of the concept of the “possibility space”.

Possibility spaces are entities that allow the creation of new enabling relationships and the destabilizing of existing relationships:

American Racism: American Racism began (well before there was an America) as an economic machine that generated vast profits for those who could create and maintain the enslavement of human beings and their exploitation for personal gain. But the evolution and expansion of its successful implementation also provided a space for antiracist initiatives. The important thing to grasp from this is that all possibility spaces have within them the possibility of change if we are willing to build enabling relationships that reflect human values and destabilize the ones that don’t. Such resistance doesn’t dissolve the possibility space, but it does force it to evolve and makes it less resilient.

Only a new possibility space can “replace” the existing one. And governing constraints are viciously resilient. Thus, resistance is not a strategy, however necessary it might be to resist. Resistance does force the existing possibility space to age. But, creating a new possibility space is tough.

Jazz: Wynton Marsalis describes the underlying dynamic of improvisational jazz as the abstraction of a melody line, a chord structure, and a rhythm to create an improvisation(s) that asks, “How might these components of a musical entity have played out differently in real-time?” This is an excellent description of a possibility space. This general frame provides a neat way to envision any possibility space as a force for creative and positive advocacy.

The Unavoidable Exhaustion of a Possibility Space: As a possibility space ages, the old enabling relationships (the ones that justified the creation of the governing constraint) become increasingly narrow and the existing relationships become increasingly brittle making small collapses more likely, and resistance more productive.

Assumptions that Weaken Possibility Spaces: When we assume that a system is a machine, we undermine the “possibilities” in the Possibility Space of our advocacy work. The systems we are trying to change commonly operate with the aphorism, “When you hear hoofbeats, think horses, not zebras”. This assumption is also very common in healthcare, and I believe it accounts for a fair number of misdiagnoses and medical mistakes. The reasoning of the aphorism is that the problem you face right now is more likely to be common than uncommon. That sounds reasonable.  But it is based on the idea that the problem space is a set of discrete machine parts. You identify the right part and then replace it.

We don’t actually make a kind of probabilistic judgment that there is a higher likelihood of horses than zebras. We pick horses as the problem and ignore any other possibility until we have completely failed with the horse “hypothesis”. This behavior is reinforced by systems of care or supports that are designed to reduce cost first and use fail-first and cost-based step methodologies as the core of our decision-making. Evidence-based frameworks, treatment protocols, and the euphemism, “Standard of Care”, are all conceptually related to the hoofbeat aphorism. These mindsets guarantee mistakes.

These issues affect our advocacy approaches as well. We become more predictable when we use the same techniques repeatedly to solve advocacy issues. Our targets adapt at various levels (local policies, hearing decisions, court cases, efforts to weaken laws, etc.). Our Advocacy Possibility Space shrinks over time, requiring more resources and more energy to accomplish less valued outcomes.

At the same time, if we use our creativity in pulling together advocacy actions, we can reasonably assume that the system will see horses rather than our advocacy zebra. This can be a real advantage. But it points out that one of our advantages as advocates is the use of novel interaction to destabilize a weak constraint in our target. Novel intentions and valued outcomes create their own possibility spaces and provide us with a new way of looking at the current Advocacy Possibility Space.

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Part 5: Strategic Heuristics

Complex image. See link below image for description and explanation.

Image From  Panarchy: a scale-linking perspective of systemic transformation

Unlike tactical heuristics, Strategic Heuristics aren’t procedures or techniques in the usual sense of that word. Strategic Heuristics are ways of thinking about the context that frames your advocacy initiative. Like tactical heuristics, Strategic Heuristics require practice, but more in the form of reflection, dialogue, debriefing, and similar approaches that try to learn meta-lessons from the planning and results of advocacy action.

The heuristics I’ll explore here include:

  • Creating Advocacy Possibility Spaces.
  • How apparent Constraints create points of Leverage.
  • How the Mindset of Flows produces better advocacy strategies than the Mindset of Things.
  • Using Disability Rights as a Strategic Heuristic.
  • The Recovery Model as a Framework for Community Change
  • Scaffolding
  • Symbiogenesis

There are many other strategic heuristics that you will discover through active advocacy action, reflection, dialogue, and so on.

The image in this slide depicts the nested nature of the Adaptive Cycle and the Aging of every CAS. It is worth reading although it is very abstract. Every advocacy effort that we undertake is embedded in systems above and includes systems within. Because of this, we do not make mechanical plans for measurable outcomes but develop and evolve a strategy that teaches us how to move on.

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(P4): Advocacy Cycles

A small boy walking down a two-track with a small stream of water. He is dragging a stick through the water.

Everything operates in cycles. If you understand the cycles of the system you are trying to change, you can make use of that for improving the effectiveness of advocacy tactics.

A basic cycle of those systems we seek to change is the balancing of exploration and exploitation in seeking valued system outcomes. A simple abstract example will illustrate what this means.

Predators must find food (exploration)  and they must eat it (exploitation). Finding food uses calories, which increases the urgency of the exploitation side of the cycle. Eating food does not by itself help the predator to find more food. So the animal must balance the amount of time spent looking for food with the necessity of eating it. You can think of this as an example of a strategy for dealing with the uncertainty of the future and the scarcity of resources.

Because all kinds of complex adaptive systems face this same environmental demand, their system flow is a cycle. What is important to the system varies depending on where they are in this cycle. In bureaucracies, over time and aging, exploration is entirely reduced to acquiring funding, and exploitation is reduced to internal competition over the control of funding.

For an advocacy example, State Rehabilitation Services Agencies commonly experience high demand for their supports despite chronically low funding. One impact of this is that available support monies fall off more quickly during a fiscal year than the passage of time would suggest they should. So, it’s easier to get expensive supports in the first quarter and much harder to get them in the last quarter of the agency’s fiscal year. There are many variations of this kind of insight:

  • Pushing for a summer hearing in a special education case. The district may have to pay overtime for witnesses from their district to testify in the hearing.
  • Policy change advocacy in the weeks leading up to funding decisions for the supports system. Systems try to avoid scandal when their funding is at stake.
  • Kicking the system when it’s down (say, from a political fight)
  • Etc.

We don’t tend to think of such opportunities as a part of a larger cycle, but they are.

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