
Lots of good stuff coming through the pipe lately. Here are some links for your attention:
AI is running our lives and we need to find ways to deal with it.
- A conversation with LamDa, an artificial intelligence, and the implications of this transcript. The stuff seems like science fiction, but so much of our lives are starting to be mediated through AI bots. We are heading for a reckoning with our ethics, and I’m not entirely sure that the folks with their hands on the technology levers of power are equipped for the job. Make philosophy and ethics a required part of STEM curricula? Please?
- Perhaps as an antidote, or a vision of what could be, Harold has a nice piece about managing in complexity and the need for what he brilliantly calls “permanent skills.”
- And because Harold is such a must-read much of the time, here’s another piece on how he navigated information wars and expertise during the first two years of the pandemic. Paying attention to signals and having well curated streams for receiving good information is very very difficult, and not something that most of us have the time and experience to do. And so we are preyed upon by single viewpoints that have a lock on our dopamine production, feeding confirmation bias and disconnection. Harold’s writing, as always, seeks to bring the most brilliant human capacity of sensemaking into this work.
Being a better facilitator
- Nadia and Corinne remind us of the power of invitation. I have blogged about this stuff for decades, but I never tire of reading simple,well thought out pieces on this. Share them with your clients and groups you are working with, because they help to spark the conversation that will lead to designing good group process.
- Beth Cougler Blom dusts off her preparation protocol for in person meetings and finds that it needs an upgrade. Useful to me as I have been quite slow to return to in person work, and I’m mostly okay with that. So that means I need to be really conscious when preparing space for in person meetings, and reports from the front line are welcome!
Geek out on some sports and complexity theory
- Some of the most exciting work to me in applied complexity is happening in the sports world. This is a truly OUTSTANDING twitter thread from Phillip O Callaghan charting hours worth of reading on nonlinear pedagogy and constraints led approaches to sport, which has implications for all the ways in which we teach complexity in complex settings. Honestly, this is a course syllabus.
- Here is a really good piece on how the former Australian cricketer Greg Chapelle managed his cognitive load and attention to enable himself to make decisions in a environment that required both hear and wide situational awareness. Fascinating discussion on how we find strategies for managing ourselves in novel cognitive environments, and how so much of the tools we need are already available to us, to be exapted from other parts of our evolutionary journey.
And I leave you with a lovely quote shared by Euan:
[People] go abroad to wonder at the heights of mountains, at the huge waves of the sea, at the long courses of the rivers, at the vast compass of the ocean, at the circular motions of the stars, and they pass by themselves without wondering.
– St. Augustine
That’s probably enough for you to get stuck in for a few weeks.
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This quote from Richard Rohr, is one of the core principles of the Center for Action and Contemplation.
Humans tend to live themselves into new ways of thinking more than think themselves into new ways of living.
It is also good complexity praxis, good leadership practice and good pedagogy.
I was on a coaching call this morning where this came up too, listening to a team I am working with describe the trap we often find ourselves in as consultants, tempted to provide the new things a group should be doing, often in the form of recommendations or lists of actions and projects to be managed. The idea is that we often try to get folks to learn and be different and then generate projects or plans that they can execute.
And that is not a good way to do it in emergent, complex and dynamic environments. If I want to learn to think differently I need to put myself in situations where the constraints afford me different possibilities to act differently. For example, I am currently learning to play jazz and I am currently without a teacher meaning that I am relying on lots of online resources to help guide me. The danger with this is that I can just learn how to play licks and lines and chord progressions or scale exercises based on what someone else is doing. This is not really making music, but rather making sounds. If I’m not careful all I will learn to do is ape teachers, master exercises or imitate recordings and that’s not why I want to learn jazz. I want to learn jazz to be able to express myself differently on guitar and for a myriad of other reasons that I play music.
Like any language, jazz has a grammar and a vocabulary. The grammar is the harmonic and melodic theory that underpins the style of music, some of which is shared with other musical forms and some of which is uniquely “jazz” in the same way that languages have different dialects which may even be mutually unintelligible amongst speakers of the same language. The vocabulary is made up of phrases and lines that one learns in context, much as you might hear a familiar word or phrase being spoken in a language you are learning. Using these phrases and lines, based in the common rules of grammar (or deliberately breaking them) requires, almost literally, speaking them out.
And the remarkable thing is that when I play this new material either against a backing track or, ideally, with another person, I learn to THINK differently about the music I am making. There is no amount of study of written notes and harmonic theory that will make me a jazz musician. Playing jazz is a way of thinking about music, expression, collaboration, culture, improvisation, order, tension, control and creativity. It must be lived into.
Or as I wrote down during my coaching call this morning, we grow through what we go through.
Teaching people to think differently is impossible without providing the affordances first for us to act differently.
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Every year, to celebrate St’ David’s Day, Dave Snowden has shared a series of posts on the evolution of the Cynefin framework. This year he introduced the newest version. The framework changes, because as we use it, it has an evolutionary journey towards “better” and more coherent. Not every branch in its evolution has had helpful components, but I find the current iteration to be very useful because it is both simple to use, easy to introduce, and yet has quite a bit of depth.
During the pandemic, I’ve been using this version of it to help people think about what to do and this is how I propose to tour you around it as well.
First, it’s helpful to orient people to the framework. To begin with, it has five domains: the one in the middle, plus four others. It’s helpful to think of the domains as a slope, starting high in the bottom right and tapering counterclockwise around to the bottom left. The domain in the middle is the most important for me, and the most underappreciated. It is the domain of Confusion (it used to be called Disorder). The domains on the right side are “ordered” meaning that stuff there is largely knowable and predictable, and problems are solveable. These Clear or Complicated domains are, distinguished by the number of interactions going on – the more parts in the system, the more Complicated it is – and the level of expertise required to know what the answer to a problem should be.
The domains on the left side are “unordered” meaning that situations are unknowable and unpredictable. This is the world of Complexity and Chaos. These are distinguished by the way the system changes, self-organizes, and creates emergent phenomena. Complex systems exhibit emergence and self-organization, and Chaos exhibits the lack of any meaningful constraints a sense of randomness and crises.
The further you go counterclockwise, the more unordered and unstable the system is. If you go clockwise, you introduce stability and order to the system. Stability lies clockwise of where you are now and instability lies counterclockwise. It is important to note that this is true until you get to the boundary between Clear and Chaos. That is like a cliff. One falls off of the Clear domain into chaos and it is difficult – if not impossible – to recover and clamber back up to the well-ordered world with Clear answers.
Most helpful for understanding strategy and the use of the framework is understanding how constraints work. From Clear to Chaos, one can move through the framework using constraints: Clear systems have fixed constraints that can break catastrophically and can be repaired easily f you know what you are doing. Think of a water leak. If you know how to repair it, it is a simple matter to do so. If you don’t, you fall off that cliff into Chaos quite quickly, and it takes a lot of time to get back to normal.
Complicated systems allow for a little more latitude in practice and so have governing constraints, such as laws and procedures. Break them at your peril, but also discuss them to make sure they govern activity in the system well.
Complex systems are characterized by enabling constraints which give rise to all manner of creativity, emergence and self-organization, but which can also be immutable. Think of the laws of physics or principles of evolutionary biology that seem to generate a huge variety of systems and living beings. But we don’t have a creature that can breathe by oxidizing neon, because neon doesn’t oxidize.
Constraints in complexity can be quite tight and still contribute to emergence and creative action. Think of the way the rules of the haiku form don’t tell you what to write, but instead offer guidance on the number of syllables and lines to use: three lines of five, seven, and five syllables. These simple constraints give rise to tremendous creativity and inspiration as you work to create beauty within a distilled form.
In Chaos the absence of constraints means that nothing makes much sense, and all you can do is choose a place to act, apply constraints and quickly sense what comes next. This is what first responders do. They stabilize the situation and then figure out whether a technical expert is needed (to operate the jaws of life) or whether the situation needs to be studied a bit more (so we know how a pandemic actually occurs and the different ways a new virus operates in the human body).
That’s the basic orientation to the framework. There are additional features above that are helpful to note, including the green zones of liminality and the division of the Confusion domain into A and C, standing for Aporetic and Confused. Aporetic means “at a loss” and indicates an unresolved confusion, or a paradox, which is just fine. Sometimes things need to remain a little murky for a while. “Confused” refers to the state of mind where you just aren’t getting it, and you don’t understand the problem. It’s often the result of a failure to see past one’s own biases, habits, and entrained patterns of solving things.
Contextualizing your problem
One meaning of the Welsh word “Cynefin” is “places or habitats of multiple belonging.” The name of the framework references the fact that in any situation of confusion, you are likely to have all five types of problems or systems at play. So when you are working on trying to understand a situation, start by assuming you are in Confusion. As much as it is tempting to look at all situations related to COVID-19 right now as Chaos, they aren’t. In fact, the desire to do see them that way is actually a key indicator that you are in Confusion. When I am teaching this framework, I sometimes label this domain “WTF?” because that is precisely what is happening here. We don’t know what’s going on, we’re confused, and we’ve never been here before. Any data you collect about a problem should all go into the Confused domain first.
From there you can ask yourself where things belong. This is called a Cynefin contextualization and is a core Cognitive Edge method for working with Cynefin. It works like this: you literally put as many aspects of your situation on individual post-it notes as you can, put them in the middle of a table and sort data into basic categories according to these criteria:
- If the aspect is clear and obvious and things are tightly connected and there is a best practice, place it bottom right.
- If the aspect has a knowable answer or a solution, has an endpoint, but requires an expert to solve it for you, put it top right.
- If the aspect has many different possible approaches, and you can’t be sure what is going to work and no one really has an answer, put it top left.
- If the aspect is a total crisis, and you are overwhelmed by it, put it bottom left.
- If you can’t figure out which domain to put the aspect in, leave it in the middle for now. NOT EVERY POST IT NOTE NEEDS TO GO IN THE FOUR OUTER DOMAINS.
Now you have a table with five clusters of post-it notes. You can do lots of things with your data now, but for me, the next step is to have a look at the stuff on the right side. Make a boundary between the stuff you can do right now (Clear) and the stuff you need an expert to help you with (Complicated). You can cluster similar pieces of data together and suddenly you have little projects taking shape.
In the top left corner (Complex), make a distinction between things that are more tightly constrained and things that are less tightly constrained. Think of this domain as a spectrum from closed to open. For example, moving my work online is constrained by needing a laptop and some software, and a place to work and some hours in the day to minimize interruptions. Those are fairly tight constraints, even though I know that I’m not going to get it right the first time around and no expert will solve it for me. I have to make it work for my context. Figuring out how to manage a team of eight people from home is much less constrained, and even comes close to chaotic. So that gives you a sense of the variety possible as you move from the boundary between Complicated and Complex and the boundary between Complex and Chaos. And you can see now why the liminal spaces exist there too. It’s not always clear cut.
Anything else on the left side that is overwhelming is in Chaos, so leave it down at the bottom left. If it is an actual crisis, you probably should take care of it right now and then come back to your framework later!
Stuff that is still confusing stays in the middle and you might want to take a crack at sorting things into Aporetic and Confused. An example of Aporetic might be trying to figure out whether you have the virus or not without being able to get tested. Because you can’t know for sure, you have to hold that knowledge in suspension and let your actions be guided by the idea that you might have it, but you might not too. But you might. You just can’t know right now.
So now you have options:
- For Clear aspects, just do them. Don’t put them off either, because failing to do so will drop you into chaos. WASH YOUR HANDS OFTEN FOR 20 SECONDS WITH SOAP. That’s an order. Orders work well here.
- For Complicated aspects make a plan. You might be able to find someone to help you learn the technical aspects of setting up a zoom meeting. You’ll definitely find videos and technical documentation to help you do it. You can learn that skill or find someone who knows it. This is what is meant by Sense-Analyse-Respond. Do a literature search, listen to the experts, and execute.
- For Complex problems, get a sense of possibilities and then try something and watch what happens. Figuring out how to be at home with your kids is pure complexity: you can get advice from others, talk about with friends and strangers, read blog posts and tweets, but the bottom line is that you need to get to work and learn as you go, engaging in a rapid iterative cycle and see if helpful patterns emerge. As you learn things, document practices and principles that help guide you in making decisions. If rules are too tight, loosen them. If the kids need more structure, apply it. Finding those sweet spots requires adaptive action, and learning as you go. Here we talk about Probe-Sense-Respond. Don’t worry about collecting tons of information before acting: it won’t help you past a certain point. Act on a hunch first and monitor the results as you go.
- Liminal complexity means that you are choosing to enter into proximity to either Complicated or Chaos. if you apply constraints (like enforcing rules on the kids) you are moving complexity towards the ordered domains. That might work, but too much rigidity will create problems. On the other hand, if your constraints are too rigid you may find yourself unwittingly creating patterns that make it hard to flow with the changing times. And so you release the constraints until you can discover something new and helpful, and then apply constraints again to help you manage in complex times. An example might be adopting the assumption that you are a carrier of the virus and letting that assumption guide your behaviours. That helps you to make choices that will probably benefit you and the people around you. (And here are some heuristics to practice with if you have kids at home during the pandemic)
- For chaos, you are going to need to apply constraints quickly and maintain them until the situation stabilizes. That might mean self-quarantine if you are infected and sharing a house with others. It might mean relying on emergency services to impose those constraints for you.
- For confusion, think of this as the top of the fountain and as new data enters your system, add it there until it trickles into the right domain. I like to revisit things that are in this domain from time to time, because as I get to work on stuff, sometimes my confusion about other things disappears, or sometimes I find a true paradox that can never be resolved and those are delightful in themselves.
So, to conclude
In summary:
- Cynefin is a five (expanding to seven) domain framework. Whatever you are doing probably has aspects of all the domains at play at any given time.
- If you need to learn something, or discover new things, loosen constraints. If you need to stabilize a situation, tighten constraints.
- In the Ordered domains, rules, laws, and experts are helpful and should be obeyed. In the unordered domains, principles and heuristics should be adopted that are coherent with goodness, safety, and care, to guide behaviour and learn new things.
- In chaos, stabilizing the situation is most important. Act now to restrict your actions and once things are stable, make the next move.
Be careful, be aware, be connected, learn and share as you go. None of us have been here before, so offer grace and support. Try to look at what is happening and suspend your judgement. Don’t spread information unless you know it is reliable, and help each other out.
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I travel around many different kinds of organizations. Many of them preach the mantra that goes something like “it’s okay to fail here. Please take risks and try new things!” Unfortunately, when I look around I can’t see much infrastructure in place that allows the work context to be safe enough to fail.
An organization needs to build learning and experimentation into its operations, especially if it is required to respond to changing conditions, improvements in services, or new ideas. And so the idea that “we want people to take risks” is promoted, often alongside an exhortation to do so prudently but really with no further direction than that.
Anyone who has worked in a large organization will know that risk-taking is perilous. There are many ways to be punished for doing something wrong, and the worst punishments are the invisible ones: shaming, exclusion, a tattered reputation, eroded trust, political maneuvering that takes you away from access to power and influence. Not to mention the material punishments of reduced budgets, demotions, poor performance reviews, and limited permission to try new things in the future.
Failure in context
Before going any further, let’s talk about what I mean by failure. Using Cynefin, we can focus on the difference between failure in complicated contexts and failure complex contexts. When we have a complicated failure in a stable and linear and predictable system, the answer is to fix it right away. Ensure you have the right experts on tap, do a good analysis of the situation and apply a solution.
In complex adaptive systems, failure is context-dependent. Here failure is an inevitable part of learning and doing new things. Because complex problems demand us to create emergent solutions, we are likely to get somewhere when we can try many different things and see what works and what doesn’t. Dave Snowden calls this “safe-to-fail” and it means taking a small bet, based on a hunch that what you are doing is coherent with the nature of the system and where you want to go, and acting to see what happens. If it fails, you stop it, and if it works, you support it.
I think I once heard Dave say something like “probes in a system should fail 8 out of 10 times or you aren’t trying to find emergent practice.” That is certainly a rubric I find helpful. This means that in developing new things, you should expect to fail 80% of the time and to do that requires that you put into place a system for supporting failure and learning.
Stuck on a cliff
Imagine you are free rock climbing – no ropes or belyaing – and there is a handhold you are reaching for that requires you to do something you’ve never done before. Your partner says “you’ll never learn to solve this problem if you don’t try something. Don’t be afraid to fail.” Far from being imbued with confidence, you are likely to be frozen with fear, seeing all the ways that things could go wrong. Better to just stick to what you know, and don’t try the move.
If however, you are in this same scenario, but you are roped up and belayed by someone you trust, you can feel safe to try the move knowing that if you fail, you will be caught and you will have a chance to try a different strategy. As you develop mastery in the move, you can use it more and more in your rock climbing life, and you may loosen the safety constraints as you develop more capability
Implications for facilitation and leadership
Safety is about creating good constraints so that your people can take risks and know they will be safe if they get it wrong. The job of leaders is to set the constraints for action in such a way that a safe space is available for work. This can take the form of limited time, money, the scope of action, or other things so that folks know what they can and cannot do. Within that space, leaders need to trust people to do their learning and create feedback loops that share the results of experiments with the bigger system. If you can have people all working separately on the same problem – working in parallel as we would say in Cognitive Edge-speak – then you increase the chances of lots more failures and also of finding lots of different ways to do things. This is called “distributed cognition” in complex facilitation and keeping people from influencing each other increases the creative possibilities within constraints.
The next level of this practice is to honestly incentivize failure. Give a reward to a person or a team that has the best report of their failure, the one that helps us all to learn more. You could easily do this in an innovation meeting by having different groups work on a problem in a fixed amount of time. Watch for the group that fails to get anywhere by the end of the time and ask them to share WHY they failed. Their experience will be a cautionary tale to the whole system.
Almost every organization I work with says that they embrace learning, tolerate failure, and want their employees to take more risks. When I ask to see how they do this, it’s rare to find organizations that have a formal process for doing so. Without that in place, employees will always respond to these kinds of platitudes with a little fear and trembling, and in general, take fewer risks if it clashes with their stated deliverables.
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For many years I have been teaching Cynefin as a foundational framework in complexity and participatory leadership workshops and retreats. For me it’s the best and most accessible way to explain the differences between complex problems and other kinds of problems and why we need to make complexity-based interventions in complex systems.
And while there are great ways to start learning about ontology in a lecture format, or using te examples of a children’s birthday party, I’m rather inclined to playing games as a way of understanding different types of systems before we do any teaching at all. Especially when you are teaching Cynefin by referring to constraints, games are super useful because a game is really just a constrained system.
My go to games involve movement and various challenges inspired by theatre exercises, and I’ve documented them before. This morning I needed to create a new suite of games for a context in which free movement was itself constrained (two participants in wheelchairs and a room that was not big enough for good and open movement.) I went to my arsenal of improvisation games and came up with these three games. We did these in groups of about 6-7 people.
- In your group, recite the English alphabet in order one letter at a time. Go around the circle, with each person saying one letter at a time.
- In your group, this time you will construct a 26 word story by each person contributing a word that starts with the next letter in the alphabet. Go in order around the circle, one word from each person. The theme of the story is “Our journey to the retreat centre.”
- In your group you have 3 minutes to tell a one word story about a mythical and legendary community event. Each person contributes one word at a time and you go clockwise around the circle. I will let you know when you have 30 seconds left to wrap up your story.
You can see that these three games map on to the Obvious, Complicated and Complex domains of Cynefin and although they are variations of the same process, the way we use constraints is what dictates the nature of the game.
In the first game, there is a rule: recite the alphabet in order, one person at a time. There is no room for creativity and in fact a best practice – singing The Alphabet Song – help you to do it. If anyone in the group doesn’t know the alphabet, it’s easy enough to google it and show them so they don’t lose their place.
In the second game, there was more latitude for participants to ad something, but they were still constrained by the alphabet scheme and the rule of one word at a time, going in a circle. Again, expertise helps here, as people can remind others that they skipped a letter for example, but increasingly the story is emergent and there is more unpredictability in the exercise. It’s also worth pointing out how people game the system by schoosing words that fit the rules rather than words that contribute to the story. The rules are far more influential constraints than the purpose of the exercise. This leads to all kinds of discussion about why it’s easy in large system to justify your work by just doing your part rather than by what you added to the whole. This is a good example of governing constraints.
In the third game we free the participants from all constraints except one word at a time, in a circle. The theme of the story becomes more important, because word choice is ENABLED by the theme which constraints options. Enabling constraints are at play, and I offered people a couple of heuristics from the improve world in order to hep them if they were stuck:
- Accept the offer and be changed by it
- Make your partner look good by building on the offer
- Don’t be afraid to fail
One word at a time stories can sometimes be very powerful and moving as they emerge from people co-creating something together. You can see how small changes cause the story to go in a radically different direction and participants can often feel their desire to control the narrative dashed on the rocks of different offers. With fewer GOVERNING constraints in place, people feel freer to make mistakes and fail, especially knowing that others may be waiting to work with their material anyway.
So there you go: a new way to experientially learn ontology before diving into Cynefin to explain and make sense of what we just did.