Table of key entries by topic area

Most Important: “What am I missing?,” “Complexity is the enemy of the intractable,” “Power,” “Interconnected?,” “I believe,” “Wicked problems as a categorized nostalgia,” “Even if what you say is true as far as it goes, it doesn’t go far enough…,” “Triangulating complexity for policy and management,” “Time as sinuous, space as interstitial: the example of total control,” “Keeping it complex. . .,” ““Long-terms, short-terms, and short-termism,” “More on over-complexification,” “Playing it safe, utopia,” “Case-by-case analysis: realism, criteria, virtues,” “Not ‘Why don’t they listen to us?’ but rather: ‘What should we listen for from them. . .’,” “Humanism, by default,” “Mess and reliability: five inter-related propositions”

Recasting big policy issues: “Poverty and war,” “Second thoughts on income inequality,” “Surprising climate change,” “COVID-19,” “Missing racism,” “Healthcare,” “To-do’s in the Anthropocene, ” “The market failure economists don’t talk about: Recasting infrastructures and the economy,” “Culling sustainability,” “In a failed state,” “Revolts,” “A colossal inheritance,” “Wicked problems as a categorized nostalgia,” “Making the best of linear thinking, complexly: typologies for reframing ‘coordination’,” “Government regulation,” “Economic consequences of having no must-never-happen events in the financial sector,” and Longer Reads (below)

More recastings: “Policy narratives,” “America’s and Trump’s,” “Recastings #1,” “When the light at the end of the tunnel is the tunnel,” “Public Policy Analysis, c.1970 – c.2020: In Memoriam?,” “Sound familiar? Here’s why,” “A grammar of policy analysis,” “Bluejays, fists and W.R. Bion,” “Policy as magical thinking,” “A different take on ‘traditional agriculture:’ risk-averse v. reliability-seeking,” “Finding the good mess in supply and demand,” “Escaping from Hell Is a Right!,” “Global Climate Sprawl,” “Disaster averted is central to pastoralist development”

Not-knowing and its proxies: “Seeing unknowns,” “Inexperience and central banks,” “Managing inexperience,” “Difficulty at risk and unequal,” “By way of distraction…,” “Shakespeare’s missing lines still matter,” “Humanism, by default”

Ignorance and uncertainty: “When ignorance does more than you think,” “Optimal ignorance,” “Uncertain superlatives,” “Stopping rules and contested regulation,” “To-do’s in the Anthropocene,” “Why aren’t they all running away!,” “Yes, ‘risk and uncertainty’ are socially constructed and historicized. Now what? The missing corollary and 3 examples,” “Killing cognitive reversals,” “Error and Safety,” “Triangulating complexity for policy and management”

Risk, resilience and root causes: “A new standard for societal risk acceptance,” “Easily-missed points on risks with respect to failure scenarios and their major implications,” “Risk criteria with respect to asset versus system scenarios,” “Half-way risk,” “Central role of the track record in risk analysis,” “Resilience isn’t what you think,” “Root causes,” “Frau Hitler, again,” “With respect to what?,” “Yes, ‘risk and uncertainty’ are socially constructed and historicized. Now what? The missing corollary and 3 examples,” “Error and Safety,” “Four macro-design principles that matter—and one that can’t—for risk managers and policymakers,” “Managing-ahead for latent risks and latent interconnectivity”

Regulation: “A few things I’ve learned from the Financial Times on regulation,” “Government regulation,” “Stopping rules and contested regulation”

Infrastructures: “The real U.S. infrastructure crisis,” “Innovation,” “Take-home messages,” “Who pays?,” “When high reliability is not a trade-off,” “The market failure economists don’t talk about: Recasting infrastructures and the economy,” “When ignorance does more than you think,” “Catastrophizing cascades,” “Healthcare,” “Interconnected,” “Stopping rules and contested regulation,” “Achilles’ heel of high reliability management,” “Where distrust and dread are positive social values,” “To-do’s in the Anthropocene,” “Government regulation,” “Killing cognitive reversals,” “Error and Safety,” “Managing-ahead for latent risks and latent interconnectivity”

Environment: “New environmental narratives for these times (longer read, consolidated from following entries),” “Nature,” “Tansley’s ecosystem,” “Radical uncertainty and new environmental narratives,” “Eco-labelling recasted,” “European Union Emissions Trading Scheme, Scenes I and II,” “To-do’s in the Anthropocene,” “Dining on gin and consommé,” “Culling sustainability,” “Lifecycle modeling of species,” “Better fastthinking in complex times”

Catastrophe and crisis: “Catastrophizing cascades,” “Jorie Graham’s systemcide,” “The shame of it all,” “Next-ism,” “The future is the mess we’re in now,” “Killing cognitive reversals,” “Escaping from Hell Is a Right!”

More mess, good and bad: “Mess and reliability: five inter-related propositions,” “A different take on the traffic mess,” “Happiness: The mess,” “Who pays?,” “Misadventures by design,” “. . .and raise my taxes!,” “Top-of-the-list thinking,” “Take-home messages,” “Finding the good mess in supply and demand,” “The New Normal is managing not just negative setbacks but also positive ones”

Betterment and good-enough: “Betterment as ‘yes-but’ through ‘yes-and’,” “It’s better between the James brothers,” “Good-enoughs,” “Good-enough dreamers,” “Professional, amateur, apprentice; Or, As good as the fingernails of Manet,” “‘at sea,’ ‘from on high’,” “Betterment (continued),” “Better fastthinking in complex times,” “Humanism, by default”

Policy palimpsests and composite arguments: “Take home messages,” “Blur, Gerhard Richter, and failed states,” “Time as sinuous, space as interstitial: the example of total control,” “More on policy palimpsests: The European Union Emissions Trading Scheme, Scenes I and II,” “Shakespeare’s missing lines still matter,” “Bluejays, fists and W.R. Bion,” “Reflection and sensibility,” and other Longer Reads (below)

Economism: “Economism,” “Keep it simple?,” “Loose ends, #1” “When high reliability is not a trade-off,” “Short and not sweet,” “The missing drop of realism,” “The market failure economists don’t talk about: Recasting infrastructures and the economy,” “Finding the good mess in supply and demand,” “Makes the gorge rise”

Longer Reads: “Ammons and regulation,” “The next Constitutional Convention,” “Recalibrating Politics: the Kennedy White House dinner for André Malraux,” “Blur, Gerhard Richter, and failed states,” “A consultant’s diary,” “A different take on The Great Confinement,” “Market contagion, financial crises and a Girardian economics,” “New environmental narratives for these times (consolidated from Environment entries),” “New benchmark metrics for major risk and uncertainty (consolidated from entries for Risk, resilience and root causes),” “One ‘why’ and four ‘how’s’ to recasting complex policy and management problems (consolidated from earlier entries)”

Something less complex?: “Red in tooth and claw,” “What kdrama has taught me,” “The irony of it all,” “Dining on gin and consommé,” “Five questions everyone should want to answer,” “Distracted anti-utopians”

Managing-ahead for latent risks and latent interconnectivity

–To insist that “there are hundreds and hundreds of organizations having oversight responsibility for [fill in name the region]” misses the fact that interconnectivity becomes a focus only with respect to specific failure/accident scenarios. Changing the scenario focus over what are the important manifest interconnections means having also changing the focus over what are the latent ones of concern.

–What are latent interconnections? To answer that, we have first to describe latent and manifest risk. If manifest risk is where the probability of failure (Pf) and the consequences of failure (Cf) are known or estimated, “latent risk” is when uncertainty over Pf or over Cf exists. Once the missing estimate is provided, what was latent becomes manifest risk.

High reliability management recognizes that management of latent risk—the management of nonmeasurable uncertainty—should be ahead of the risk becoming manifest. (Think of measurable risk as associated with professionals’ skills in pattern recognition across a run of cases and nonmeasurable uncertainty as associated with their skills when it comes to a one-off, what-if scenario formulation.)

Minimally, this management-ahead is to forestall the realization of risk-with-respect-to scenarios that would decrease options and/or increase volatility of reliability professionals. In other cases, the management-ahead is to help realize risk-with-respect-to scenarios that would manifestly increase options and/or decrease volatility.

–Now to implications for and about latent and manifest interconnectivity. In complex, interconnected systems where high reliability (including high safety) matter as an existential priority, four inter-related factors move center-stage for the managing-ahead of latency:

  • Analytic modeling uncertainties become a major consideration. Not only do analytic models differ in terms of their uncertainties—electricity modeling appears to be better than levee modeling. Even more important, the more interconnected the infrastructures, the more latent risks to be managed in light of input and output variables as well as their joint their control variables, which modelers often miss or do not understand (e.g., waterflows central to real-time services of key interconnected infrastructures).
  • The evolutionary advantage of each control room’s ability to operationally (re)design workarounds to compensate for (emerging) defects in hardware and software under interconnectivity take on added prominence in real time.
  • A key latency—but one often ignored or not recognized outside the infrastructure control room by regulators and legislators—centers around small change/large impact scenarios. For example, the November 2006 disconnection of a single power cable in northern Germany triggered regional blackouts as far away as Portugal. True, but: How many times were such small changes managed before so as not to lead to huge impacts (the disasters averted) and would subsequent “remedies” undermine this prior ability to manage reliably, had the remedies been instituted earlier?
  • A focus on the classic common-mode failure around spatially collocated elements of different infrastructures, such as a shared utility corridor, is misleading when the chokepoints of the respective systems are physically located elsewhere. A chokepoint of one infrastructure tripping over into disrupted or failed operations is profoundly more important if collocated next or adjacent to the chokepoint of another infrastructure with which it is also functionally interconnected.

One “why” and four “how’s” to recasting complex policy and management problems (longer read)

–Let’s start with some examples of recasting. You see jewelry where I see sculpture on a small scale; you see the orchestra conductor conducting, I see that conducting more as a dance. You see the forest; I see a mountain of poison against insects. I witness the birth of the family’s first child; you see the first child give birth to a family. You see the sketched outline of a toy sailboat (or other desideratum); I point out that the boat’s image is the space left behind after other images have inlined it. We both, on the other hand, see the hole without its doughnut.

I ask, when is biotechnology bestiality? You ask, are gardens zoos without the cruelty? Isn’t heroism first violence to oneself? Is burglary a kind of architectural criticism? Are galleries a novel way artists handle storage problems? Does burning down a huge lumber yard mean houses have been destroyed? Isn’t a single performance one story that can’t be plagiarized?

–Continue with more complications. Doesn’t our continuing inability to safely store nuclear weapons waste reveal the Cold War to be the first war in modern times where the continental US took direct hits because of an enemy? What does the US look like when one realizes it is a country where more men are likely raped than women? (Think: its male prison populations). What if those time-consuming studies to model and validate the life-cycles of endangered species become their weapons of mass destruction?

–Let the examples become even further complicated:

  • Bad policy mess: At one point, three to four billion people—up to two-thirds of the world’s population—lived in regions without adequate water supplies or sanitation. Good policy mess: Now that truly is a very, very large number. Indeed, the distribution of people without adequate water supplies is so large that many of them must be doing better than others. That, without being Darwinian about it, means there are tens of millions —hundreds of millions?—of people who have many things to say about how to better survive without adequate water to those millions more who are also trying to survive without it. But where then are the campaigns, e.g., in the World Bank or the IMF, to do just that?
  • Bad policy mess: It has been said that one out of every two young African-American men in major US urban areas is enmeshed in the criminal justice system. But that too is a large number, right? Good policy mess: Why, then, are we not interviewing the other 50 percent of young urban African-American males outside the criminal justice system to find out what they are doing, and what the rest of us could learn from them?
  • Bad policy mess: A reported 11 million people are in the U.S. illegally. Good policy mess: If those numbers are anywhere close to accurate, then there must be thousands—hundreds of thousands? far, far more? —who are already acting as if they were good U.S. citizens.

Examples can easily be extended, but the point remains: There is no one way, let alone one single right way, to look at conditions already complex.

–The world is not one way only because the world’s complexity—its many components, each component with multiple functions (I am a husband, father, blogger…), and the many interconnections between and among components, functions and the wider context in which these are embedded—enable all manner of interpretations.

That is the “why” of recasting: No single interpretation (explanation or description) can cover or exhaust major issue complexity. The upshot of the inexhaustibility is that complex problems can be cast and recast in multiple ways. Or to put the point from the other direction, any complex policy issue that is described as “intractable” is an exaggeration that has stopped short of further recasting.


But, then, how to recast?

–I suggest four how’s. Two recasting operations are familiar to those who undertake case-by-case analysis of issues: the use of multiple typologies and of methodological triangulation. The other two are less familiar, but no less important for recasting: use of counternarrative thinking and the policy palimpsest.

The four come from my own experience and practice. In this way, the discussion below has all the faults of a sample of one. But, since reframing policy issues has long been a topic in my profession, I encourage the reader to search for other methods, approaches, and examples, starting with that keyword, “reframing.”

–Finally, so as avoid confusion, I keep to the operating definition of issue complexity above: A policy or management issue being more or less complex depends on the number of elements to that issue, the different functions each elements has, and the interconnections among functions and components. Global ecosystem restoration is more complex than that of any regional landscape, because the number of different ecosystem elements, the services provided by each element, and the interconnections among functions and elements (e.g., “resource scarcity) are higher globally.

All else considered, the fewer the elements-etc, the less complex the issue; more elements-etc, then more complex. By way of justification, this reflects the definition of social complexity developed and used over the last 40 years, that of political scientist Todd R. La Porte.

Now to four ways to recast that issue complexity.


Multiple typologies. One great irony in taking issue complexity seriously is the usefulness of linear thinking in doing so. Since “linear” is often equated with “simplification,” I quickly add: …when that linear thinking is in the form of multiple typologies considered together for analyzing that issue complexity.

Any two-by-two table (or some such) is easily criticized for being reductionist in the face of a complex reality. This, though, misses what has always been the latent function of typologies when in the plural: to remind us that reality is indeed more complex than lines, boxes and bullet points can portray.

–Multiple typologies are the norm in my profession, policy analysis and management, and to use them in sequence—one after another, different criteria following upon different criteria—is to render a major policy mess granular enough for differing implications to become visible. Multiple typologies are not the pieces that complete a picture puzzle; they make a puzzle detailed enough to see a different puzzle or puzzles already there.

The typologies in my own work come largely from sociology, political science and organization theory. In the most practical sense, you can begin with any typology, the entire point being there is no obvious macro, meso or micro start when it comes to reframing what is complex—say in natural language, what is uncertain, unfinished and disputed—at the same time. The typologies I rely on include:

  • Different types of unpredictability, including measurable probabilities, unmeasurable uncertainties and unknown-unknowns (adapted from Andrew Stirling’s typology of incertitudes);
  • Different types of organizations, where production agencies–by way of example–differ significantly from coping agencies in terms of their observable/unobservable outputs and outcomes (J.Q. Wilson’s typology of agencies)
  • Different types of cases, e.g., “the case out there in reality” versus “the case emerging from your interaction with issues of concern” (Charles Ragin’s typology of cases)
  • Different types of large-scale technological systems whose centralized or decentralized operations vary as a result of system coupling and interactivity (Charles Perrow’s typology of high-risk technologies)
  • Different types of cultures for differentiating ways of life and policy orientations (the four cultures of Mary Douglas, Aaron Wildavsky and their colleagues)
  • Different performance modes—just-in-case, just-in-time, just-this-way and just-for-now—for the real-time high reliability management of large-scale socio-technical systems (a typology of Roe, Schulman and our colleagues)

No major issue emerges unchanged from the seriatim application of these typologies. More, all issues in this blog—inequality, poverty, war, climate change, pandemics, healthcare, others—merit such attention. In case it needs saying, other typologies may be as fruitful in differentiating the complex issue of concern.

–In all this, though, remember the cardinal virtue of applying typologies when it comes to recasting—or if you prefer, reframing, revising, redescribing, rescripting, refashioning, recalibrating—issue complexity:

  • It is to move you from the myriad types of contingent factors at work affecting the major policy and management issue—societal, political, economic, historical, cultural, legal, scientific, geographical, philosophical, governmental, psychological, neurological, technological, religious, or whatnot.
  • It instead is to move you to the many, but less numerous criteria with which to identify and describe the factors that are pertinent. These reframing criteria are, for example, the horizontal and vertical dimensions used in differentiating the cells of a 2 X 2 typology.


Methodological triangulation. Another great irony in taking social complexity seriously is the how easy it is to over-complexify the issue. People typically think the real problem is simplifying that which cannot or should not be simplified. Equally important, though much less recognized, is over-complexifying the already (more or less) complex.

The litmus test that an issue is too complexified or simplified is whether it can be recast in ways that open up fresh options for intervention without gainsaying the complexity. If a simplification can be recast as complex in ways that new interventions are then plausible or if the issue thought to be so complex that no further action is possible can be recast to show otherwise, then truth of the matter has been pushed and pulled beyond current exaggeration.

–Triangulation is particularly useful for assessing the possibilities of recasting what is thought to be too complex for further action. One form is the use of multiple—the “tri” doesn’t mean three only—methods. This triangulation is most successful when “Whatever the direction you look at this issue, you get to this same point. . .”

Familiar examples of methodological triangulation have been convergence on the recognizing the importance in development of women and of the middle class(es) in a country’s development trajectory. Methodological triangulation also figures prominently in other applied fields (though not all!), e.g., practicing policy analysis, marketing, investigative journalism, and participatory rural appraisal.

–To be clear, the goal in such triangulation is for analysts to increase their confidence—and that of their policy audiences—that no matter what position they take, they are led to the same problem definition, alternative, recommendation, or other desideratum. Accordingly, it cannot and must not be assumed that increasing one’s confidence perforce reduces complexity, increases certainty, or gets one closer to the truth of the issue matter.

Issue complexity remains after triangulation; when successful, it means only that when the number of issue elements, functions and interconnections are high, some mutual intersection or overlap may have occurred empirically.

–Triangulation is thought to be especially helpful in identifying and compensating for biases and limitations in any single approach (e.g., reliance on any single typology). Obtaining a second (and third. . .) opinion or soliciting the input of the range of stakeholders or ensuring you interview key informants with divergent backgrounds are three common examples. Detecting bias is fundamental, because reducing, or correcting and adjusting for, bias is one thing analysts can actually do.

Triangulating on a common point is in no way guaranteed just as canceling out biases—be they cognitive, statistical, cultural, other—cannot be assumed to have occurred as a result of triangulation. (Anyway, it remains an open question which biases are most important—material interests, cultural beliefs or built-in cognitive biases, among the many other candidates.)

–That said, failure to triangulate provides useful information. When findings do not converge across multiple orthogonal metrics or measures (populations, landscapes, scales…), the search by analysts becomes one of identifying specific, localized or idiographic factors at work. What you are studying may in reality be non-generalizable—that is, it may be a case it its own right—and failing to triangulate is one way to confirm that.


Counternarrative thinking. If the aim in complex policy and management is to be more prepared for inevitable surprise—the chief feature of social complexity is not direct power, but direct surprises—you have to be more willing and able to undertake counter-expected or counter-desired thinking. (Surprise, in case it needs adding, is what actually pushes us to rethink what we had expected up to that point.)

–If you’re told “a leads to b leads to c,” ask yourself: Can I think of a plausible scenario where “not-a leads to not-b, but not-b still leads to c” or where “a leads to b, but b leads to not-c”?

If you are told that “integrated pest management [IPM] leads to increased agricultural yields, which in turn lead to more sustainable livelihoods,” can you imagine a scenario (1) where IPM and increased crop yields do not lead to sustainable livelihoods or (2) where chemical-based agriculture and lower field yields could nonetheless lead to sustainable livelihoods?

One can in fact imagine situations where the latter would be found, e.g., in regions where field fertility has always been extremely low and soil depletion high, home plots or gardens become the focus of intensive cultivation.

–Once you have a rival narrative, you ask of it: Is it all that surprising? Under what conditions can the counternarrative be treated seriously? Is its realization desirable with respect to policy and management, here and now? In addition to better preparing you for surprise, a virtue of counternarrative thinking is that, even if the rival scenario cannot now be supported, it could serve as a policy option for the future if conditions change.


Policy palimpsest. A few years ago I had the good fortune to study the EU’s CO2 cap-and-trade system, the Emissions Trading Scheme (ETS). Without going into details, the ETS’s first decade and half of operation has been a record of one major problem after another, including but not limited to too many credits issued, adverse economic conditions, and cyber-theft and permit fraud.

Despite this, ETS supporters continued to argue, “Well, what else could we have done? We needed some kind of market, or things would have only gotten worse. . .” Well,  others counter, what you could have done was to search for those better practices that energy infrastructures use in real time to meet such environmental standards. It may be the case that some EU infrastructure control rooms did just that, but no one would ever know that from the existing ETS literature, so focused as it has been on there being no real alternative to the ETS.

I still agree with the gist of the preceding analysis—at least as far as it went—but now understand how a policy palimpsest approach pushes my argument further. That is, my original analysis read as if it were a chronological history of the ETS—”just the facts ma’am”—when in fact it is no such thing.

How so?

–The term, “policy palimpsest,” refers to the social science notion that longstanding controversial policies, like those witnessed in ETS debates over the years, are themselves the composite of policy arguments and narratives that have overwritten and obscured each other.

Any composite argument read off a policy palimpsest reads sequentially—nouns and verbs appear in order and meaning is made—but none of the previous inscriptions come to us clear and whole through the intercalated layers, effacements, fractures, erasures, and lacerations.

Arguments assembled from the palimpsest have been blurred, intertwined and re-rendered for current (often controverted) purposes. The analytic challenge is to read any composite argument with its blur visible in order to acknowledge and probe what has been rendered missing. Why? Because surfacing what is (or has been made) missing may provide potent ways to rewrite currently dominant composite arguments in light of the issue complexity.

–In my original ETS analysis, all I did was conjoined disparate statements together as if each statement were somehow equally important in the sequence I constructed. This happened in the ETS, and then that happened, and still latter some else happened. . .But this is no more logical than the sequence in an alphabet.

To be specific, the meaning in my ETS chronology was not constructed sequentially, but rather paratactically by myself and associatively by the readers at that time. This juxtaposition of dispersed fragments of text into the composite I offered was in reality punctuated by interruptions the readers did not and still do not see. The analytic challenge remains that of making the interruptions visible to the reader—to make evident what is missing in my composite argument by virtue of those earlier debates and points obscured or written out of the record for the ETS.

–I now think the element missing from my initial summation is that open question about just what kind of “fragment” might the ETS itself be. Is it primarily an institutional structure under continual or intermittent construction? Or is it the ruins left behind by techno-managerial elite and New Class of bureaucrats operating well beyond known capacities? Or is the ETS the hollow cypher for all types of environmental hopes that are still unrealistic or evanescent? Or is the answer, maybe all of these? Or maybe none?

To cut to the quick, my original analysis was to be a kind of “last word” on the ETS. That is a temptation policy analysts, including myself, must resist. The palimpsest is always being written over—e.g., a recent EU proposal has been for carbon border taxes (on imports from countries without adequate carbon-pricing systems). Indeed, each effacement of a preceding argument takes the policy audience further away from any kind of “original” beginning, middle and end for the complex policy in question.

–What the notion of policy palimpsest underscores is that a major policy and management issue actually sources all manner of composite arguments, any one is “revisable,” even at the moment policymakers are insisting “this is the right policy for the right time in the right place.”

This is important, since major policy arguments are constantly urged upon us because of their putative elegance, iron simplicity, and seeming import. These must be perilous indeed! They only wink at complexity; they certainly are not to be found via their constitutive policy palimpsest.


To conclude: It is good, not bad, that policy and management are more complex than we often suppose and because they are complex, they can be recast and seen in a new light. The starting assumption should be that an intractably complex issue is one that has yet to be recast. In fact, labeling a complex issue as intractable, full stop, takes the generous notion of intractably human and scalps it both of the why and the how’s.

Principal sources. Material for the above has been culled and revised from earlier, more detailed blog entries: “Complexity is the enemy of the intractable,” “Triangulating complexity for policy and management,” “Humanism, by default,” “Making the best of linear thinking, complexly: typologies for reframing ‘coordination,’” “Blur, Gerhard Richter, and failed states,” and “More on policy palimpsests: The European Union Emissions Trading Scheme, Scenes I and II.”

Mess and reliability: five inter-related propositions

Proposition 1: The more services demanded from a single resource, the greater the demand for reliability in each service and the messier it is to ensure that reliability (reliability defined as that safe and continuous provision of a vital service).

The more we rely on firefighters, the more services we demand from them: First, crews responded to fires; then they had to respond to other emergency calls. Power lines are expected to carry not just electricity, but now broadband internet services. Banks provided accounts and loans; then we required they source other financial instruments. During such service expansions, reliability mandates and service provision suffer growing pains and things get messier.

Proposition 2: The messier it is to provide multiple reliable services from a single resource, the more the services are provided reliably, if at all, in real time only, when the performance standards are clearest.

Police now respond immediately only to 911 calls for activity in progress. The bank shifts from waiting lines in front of few tellers, to many outside ATMs, each accenting the automatic. Performance criteria are clearer in real time: Did the police come at once, did you get your emergency care, and is the cash really there?

Proposition 3: The more the services are reliably provided in real time, the more likely the demand for new services from that single resource and the messier it will be in ensuring any of the services is reliably provided, right now.

Back at that ATM: Before, it provided cash and deposit services; then it became a one-stop for other transactions, ranging from recharging your cellphone, paying your bills, buying stamps, to booking railway tickets. Conditions get even messier when the multi-purpose ATM (and others nearby) are out of order, and none of the expanded services are available now. It’s the same with your multipurpose cell phone when reception is unavailable.

Proposition 4: The more the services and the messier the real-time management, the greater the pressure to decouple one or more services from the resource and the more likely a new or more differentiated resource will be found/created to provide the decoupled service reliably.

Cellphones are no longer just mobile versions of fixed-line telephones, but altogether different instruments with added services. Banks long ago ceased to source financial services sector on their own; all manner of novel financial transactions are provided outside the official banking sector.

Proposition 5: The more reliably the service is provided from the new resource, the greater the pressure to demand more services from that resource. . . and so the dynamic continues.

As illustrated in the lead-up to the 2008 financial mess, not only did the volume of credit derivatives increase, but so too did novel derivatives for other purposes. Credit default swaps came to measure even the creditworthiness of entire governments.

–Should it need saying, it is not obvious what new or more differentiated resources, if any, will emerge nor is there anything inevitable about the propositional dynamic. What can be said is that you’re in it for life, when it comes to managing mess and reliability.

Wicked problems as a categorized nostalgia

Cease and desist orders should have been issued long ago against use of “wicked problems” in the practice of policy analysis and management. As for academics, they know that more nuanced sets of terms for complex policy problems are required than the originating “wicked” and “tame” dichotomy.

Fair enough, but good enough? Differentiation and nuance may actually reinforce a “there” that still isn’t there.

–How so?

My own answer is that wicked problems are best understood as part of a genre in literature, which enables very different statements and competing positions to be held without them being inconsistent at the same time. Literary and cultural critic, Michael McKeon (1987/2002), helps us here:

Genre provides a conceptual framework for the mediation (if not the “solution”) of intractable problems, a method for rendering such problems intelligible. The ideological status of genre, like that of all conceptual categories, lies in its explanatory and problem-“solving” capacities.

In McKeon’s formal terms, “the genre of the novel is a technique to engage epistemological and socio-ethical problems simultaneously, but with no particular commitment than that.”

Intractability appeared not only as the novel’s subject matter but also in the intermixed conventions of how these matters can be raised. This was the way nostalgia for a simpler past was categorized and talked about at the time.

–My view is that the literature on wicked problems is part and parcel of this longstanding genre. This literature’s content is not only about the intractable, but also its governing context is as historically tangled and conventionalized as that of the English novel. Masses of complexities take center place in wicked problems both by virtue of context and content (or force and field, if you prefer).

I am not saying wicked problems are fictitious (even so, there is the well-known truth in fiction). Rather, I am arguing that pinning wicked problems exclusively to their substance (e.g., wicked problems are defined by the lack of agreed-upon rules to solve them) misses the fact that the analytic category of wicked problems as such is highly rule-bound (e.g., by the historical conventions to articulate and to discuss such matters).

Again, how so? Return to the scholarly literature’s attempt to differentiate “wicked” and “tame” problems into more nuanced categories. Doing so is like disaggregating the English novel into romance, historical, gothic and other types. Such differentiation need not problematize the genre’s conventions. In fact, the governing conventions may become more complex for distinguishing the more complex content, thus reinforcing the genre as a vesselled intractability.

–So what? If wicked problems are to better addressed, altogether different conventions and rules—what Wittgenstein famously called “language games”—will have to be found under which to recast these. . . . well, whatever they are to be called they wouldn’t be termed “intractable,” would they?

Wicked policy problem are complex problems that have yet to be recast in light of their very complexity. As with so much in contemporized policy and management, wicked problems end up as exaggerations: Even where they may be true as far as they go, the truth of the matter needs to be pushed further.

Principal sources

McKeon, M. (1987/2002). The Origins of the English Novel, 1600-1740. 15th Anniversary Edition. The Johns Hopkins University Press: Baltimore and London.

On complexity enabling recasting, see blog entries: “Complexity is the enemy of the intractable,” “Even if what you say is true as far as it goes, it doesn’t go far enough…,” “Triangulating complexity for policy and management,” “Incompletenesses,” and “Poverty and war”

Disaster averted is central to pastoralist development

Comes a time they have decided who you are. 
But you have not decided who you are. 
                  Jane Hirshfield ("They have decided")

I dislike being herded into certainty.
                  Louise Glück, Nobel poet

My argument is that if crises averted by pastoralists (and farmers, for that matter) were identified and more differentiated, we’d better understand how short of a fuller picture is equating their real time to the chronic crises of inequality, market failure, precarity and such.

To ignore disasters-averted has an analogy with other reliability professionals. It is to act as if the lives, assets and millions in wealth saved each day doesn’t matter when real-time control room operators of critical infrastructures prevent disasters from happening that would have happened otherwise. Why? Because we are told that ultimately what matters far more are the disasters of modernization, late capitalism, and environmental collapse destructive of everything in their path.

Even where the latter is true, that truth must be pushed further to incorporate the importance of disasters-averted-now. Disaster averted matters to herders precisely because herders actively dread specific disasters, whatever the root causes.

The implications for pastoralist development end up being major—not least when it comes to “pastoralist elites”—but let’s start closer to the beginning.


–A young researcher had just written up a case study of traditional irrigation in one of the districts that fell under the Government of Kenya’s Arid and Semi-Arid Lands (ASAL) Programme. (We’re in the early 1980s.) I remember reading the report and getting excited. Here was detailed information about really-existing irrigation practices and constraints sufficient to pinpoint opportunities for improvement. That was, until I turned the page to the conclusions: What was really needed was a country-wide land reform.

Huh? Where did that come from? Not from the details and findings in the report!

This was my introduction to solutions in search of “problems” they would “solve.” Only later did I appreciate the default strategy for those who ridicule any such solutionism: Appeals to wider sociopolitical phenomena and structural processes have also been in search of fresh field examples to recast as broad problems unamenable to “solution.”

–Reference to the pernicious, when not totalizing effects of marketization, privatization, commodification, financialization, globalization, and like (e.g., monetization, mechanization, marginalization. . .) appear from beginning to end in development publications, and never more so—it seems to me—than in paragraphs that detail case-specific complexities one would have thought worked against generalizing processes across cases.

Of course, inequality, marketization, commodification, precarity and other inter-related processes matter. The same for modernization, late capitalism and global environmental destruction. BUT they matter when detailed and differentiated in terms of “with respect to.”

Just what is marketization with respect to in your case at hand? Smallstock? Mechanized deliveries? Alpine grazing? Is it in terms of migrant herders here rather than there, or with respect to other types of livestock or environmental conditions? For that matter, how do the broader processes summarized as “marketization” get redefined by the very different with-respect-to’s?

“What kind of land reform for whom and under what conditions at your research site?,” I should have asked.

–If I remember correctly, the research also claimed that that traditional irrigators were risk averse, thus requiring a land reform that would change their having to be so. I’d like to believe it’s more common now to accept that many complaints about the risk averse herder (or farmer) are underspecified narratives.

Yes, that specific farmer at this specific site could be risk averse under these conditions rather than those. (Details, please!) Without specifics in their with-respect-to scenarios, the underspecification reduces to thinking more in stereotypes. I view appeals to the aforementioned socio-structural phenomena and processes as reduced-form narratives in the same underspecified way, i.e., as explanations, they don’t go far enough when absent differentiated with-respect-to scenarios.

–This leads to the primary point: Claiming over-arching explanations are in fact empirical generalizations made across complex cases too often voids the case-specific diversity of responses and emerging practices of importance for policy and management.

Appeals to processes or state conditions generalized as “marketization,” “commodification,” “precarity” and the like run the risk of diminishing the centrality of disasters averted through diverse actions of diverse herders. This diminishment leaves us assuming that marketization, commodification, precarity. . .are the chronic crises of real time for herder or farmer. They, we are to assume, take up most of the time that really matters to pastoralists.

But the latter is the case only if the with-respect-to scenarios show how these broad processes are chronic and how they preoccupy real time because herders have failed to avert dreaded events altogether.

–Let me give an example. Andrew Barry, British sociologist, reports in his article, “What is an environmental problem?,” a research finding from his work in Georgia:

A community liaison officer, working for an oil company, introduced me to a villager who had managed to stop the movement of pipeline construction vehicles near her mountain village in the lesser Caucasus. The construction of the pipeline, she told us in conversation, would prevent her moving livestock between two areas of pastureland. Her protest, which was the first she had ever been involved in, was not recorded in any official or public documents.

Barry found this to be a surprising research event (his terms) and went on to explain at length (internal citations deleted) that

my conversation with the villager pointed to the importance of a localized problem, the impact of the pipeline on her livelihood and that of other villagers, and her consequent direct action, none of which is recorded or made public. This was one of many small, fragmentary indicators that alerted me to the prevalence and significance of direct action by villagers across Georgia in the period of pipeline construction, actions that were generally not accorded significance in published documents, and that were certainly not traceable on the internet. . .At the same time, the mediation of the Georgian company liaison officer who introduced me to the villager was one indicator of the complexity of the relations between the local population, the oil company, and the company’s subcontractors. . .

I believe the phrases, “managed to stop,” “would prevent her moving livestock,” “a localized problem,” “consequent direct action,” “generally not accorded significance,” and “the complexity of the relations” are the core of my argument here.

Should it need saying, some scenarios do specify how such phrases result from an ongoing interaction and dialectic between the wider processes and local particularities. But, again, I’d hope you’d want to see details behind any such assertion.


–So what?

How does the argued importance of disasters-averted compel rethinking pastoralist development? I have space for one major implication: a priority to recast “the growth of pastoralist elites.”

I recently read a fine piece mentioning today’s Pokot elites and Turkana elders in Kenya, which, I confess, made me smile. When I was there in the early 1980s, they were neither elderly nor elites all. I’m also pretty sure had I interviewed some of them at that time I’d have considered them “poor pastoralists.”

So my question: What happens when some of the poor pastoralists of then are better off now? Is there a point at which better-off pastoralists are no longer poor enough for the researcher’s concern?

To rephrase more formally: “Under what conditions do pastoralists, initially poor but today better off, become elites in the negative sense familiar to criticism of elites?” This is important because an over-arching development aim of the first-generation ASAL programs was to assist then-poor pastoralists to become better-off.

My answer now to the preceding questions would focus on the disasters averted over time by the now-elites compared to those who remained poor throughout the same period. It seems to me essential to establish if equally (resource-) poor pastoralists nonetheless differentiated themselves over time in terms of how they averted disasters that would have befell them had they not managed or coped the ways they did. Practices underlying their intentions, choices and actions are what interest me.

Now, of course, some of the poor pastoralists I met in the early 1980s may have been more advantaged than I realized. Of course, I could have been incorrect in identifying them as “poor pastoralists.” Even so, my focus on disasters-averted holds for those who were not advantaged then but are so now.

–Which leads me full circle back to that research report: Since when are researchers to decide that time stops sufficiently in a study period to certify who among herders (or farmers) are advantaged going forward, let alone what are the metrics for determining such? When did the development narrative become “poor herders and farmers must advance at the same rate or even faster than advantaged ones?”


Postscript. I may have left the impression of singling out those who revert to wider forces as the key explanatory variables. A different entry would focus on other underspecified narratives. There are those, by way of example, who continue to assert that pastoralists by and large have special knowledge and skills in sustainable management of the arid and semi-arid lands. While certainly true in some cases, pastoralist households are too differentiated—fortunately!—to be the dryland’s elite overseer, full stop.

Principal sources

Barry, A. (2020). What is an environmental problem? In the special issue, “Problematizing the Problematic,” Theory, Culture & Society: 1 – 25.

Roe, E. (2020). A New Policy Narrative for Pastoralism? Pastoralists as Reliability Professionals and Pastoralist Systems as Infrastructure. STEPS Working Paper 113, Brighton: STEPS Centre.

Related Blog Entries: “Complexity is the enemy of the intractable,” “Even if what you say is true as far as it goes, it doesn’t go far enough…,” and “Easily-missed points on risks with respect to failure scenarios and their major implications.”

Four macro-design principles that matter for risk managers and policymakers—and why the Precautionary Principle doesn’t

–When I’m told that macro-principle must govern micro-operation (think: universal human rights applying equally to each and every individual across the planet), I’m left wondering just how this works. It puts me in mind of those Renaissance paintings of the Annunciation that leave viewers guessing about just how close to the Virgin Mary did God’s dove have to get in order to inseminate her.

Nothing, though, stops some principles being grounded explicitly in and around how things work. In my field, policy analysis, I can think of four.

–First—as a matter of principle—context and time matter: System knowledge has to accommodate local knowledge in order for management to occur. Second—as a matter of principle—every design proposal must pass the ‘‘reliability matters’’ test. Would the proposal, when implemented, reduce the task volatility that managers face? Does it increase their options to respond to volatility? Does it increase their maneuverability in responding to different, often unpredictable or uncontrollable, performance conditions?

The test of efficacy here is not ‘‘Have we designed a system that can be managed?,’’ but rather ‘‘Is this a system we can manage to redesign when needed?’’

Third—as a matter of principle—any macro-design that compels professionals to work for an extended or indefinite period of time in a task environment outside their domain of competence cannot be expected to produce reliable services. True, a crisis pushes real-time professionals to work beyond the limits of the known, and even of the knowable—but management professionalism alone cannot keep that coping underway sine die.

Fourth, as a matter of principle, management alternatives exist precisely because the vital questions of society and economy are complex, and complexity is the enemy of the intractable, i.e., complex problems are complex enough to recast differently.

–The social and legal critic Roberto Mangabeira Unger wrote that the dilemma people face is ‘‘the dictatorship of no alternatives’’: ‘‘All over the world, people complain that their national politics fail to deliver real alternatives’’. But if we actually looked all over the world, we’d find much by way of alternative practices useful for our own management.

You cannot complain that, on one hand the planet is overpopulated with 7-plus billion people, while in the same breadth, complain that too few really-existing practices are available for improving matters.

The four principles insist that system designers learn about contingencies that cannot be planned for, but which must be managed by managers in real time, and then often case by case. This means that the responsibility and duty of real-time veto over design and technology moves from the designers/planners to the operators/managers—when high reliability is the mandate.

–An example of other principles that run against the four? For one, the Precautionary Principle in risk management. That principle insists on avoiding altogether positions that may have extreme consequences in favor of a more cautious approach.

But that word, “altogether,” is the stinker. Surely it can’t be true that the Precautionary Principle holds everywhere, or even most everywhere, or even when the issue concerned is everywhere important. For that matter, where does the control come from to achieve the avoidance necessitated by the Precautionary Principle? You can of course legislate the Principle, but you can’t control its execution.[1]

More, we know from the literature on society’s critical infrastructures that it takes their variable management, not control, to avoid extreme events, if only because differences in context are unavoidable. And aren’t critical infrastructures the only real-time mechanism we have to manage, not control, for avoidance of extreme events we know that matter?

And are there other avoidance strategies better than the Precautionary Principle? Obviously! They’ve emerged and been modified as different practices for different situations—again, what else can you expect from manifold billions on this planet?

[1] An illustration of a control-oriented application of the Precautionary Principle to pandemics, like that of COVID-19, is provided by well-known economic geographer, Bent Flyvbjerg. He recently recommended mitigation measures that (with his bolding)

(a) cut the tail [i.e., fat-tailed risk of a pandemic] (by breaking the chain of transmission through, e.g., lockdowns, personal protection equipment like face masks, testing, development of vaccines, etc.) and (b) the precautionary principle (rather a lockdown too many than one too few)–rolled out immediately, at speed, and at scale, worldwide.

But if we could control all this (including that wonderful “etc.”), we’d never have a pandemic in the first place, right?

Principal source

Flyvbjerg, B. (2020). The law of regression to the tail: How to survive Covid-19, the climate crisis, and other disasters. Environmental Science and Policy 114 (December): 614 – 618.

Distracted anti-utopians

Even anti-utopians have their utopian distractions. Here’s one of the 20th century’s greatest writers of anti-utopias from his diary entry known as Commune of Workers Without Private Property:

OBLIGATIONS: to possess no money, no valuables, and not to accept any. Only the following possessions are permitted: the most simple dress (to be defined in detail), whatever is necessary for work, books, food for one’s own consumption. Everything else belongs to the poor.

      To get one’s living only by working for it. Not to shrink from any work that one’s strength suffices to perform without damaging one’s health. Either to choose the work oneself or, in the event of this not being possible, to fall in with the arrangements made by the Labor Council, which is responsible to the Government.

      To work for no wages other than what is necessary to support life (to be defined in detail according to various districts) for two days.

      Life to be of the utmost moderation. To eat only what is absolutely necessary, for instance as a minimum wage, which is in a certain sense also a maximum wage: bread, water, dates. Food as eaten by the poorest of the poor, shelter like that of the poorest of the poor.

      The relationship to the employer to be treated as a relation of mutual trust. The intervention of the courts never to be invoked. Each job taken on to be completed, in all circumstances, except for grave reasons of health.

RIGHTS: maximum working time six hours, for manual work four to five hours.

      In sickness and in the incapacity of old age reception into institutions for the aged and into hospitals, these run by the State.

      Working life as a matter of conscience and a matter of one’s faith in one’s fellow men…

Author? Franz Kafka (it’s reported that the diary entries before and after the fragment do not give a clue to his intentions).

Economic consequences of having no must-never-happen events in the financial sector

–Water flows from the tap, the lights turn on, and the natural gas supply is there—even during (especially during) bad times.

The same cannot be said for the financial services sector. Liquidity, defined as being there when needed, proves not to be. In fact, that’s the definition of unreliable. There are no agreed-upon must-never-happen events in financial services as there in other critical infrastructures.

In electricity, reliability is driven by dread associated with loss of containment at a nuclear generator or islanding of the entire electric transmission grid. In large water supplies, there must never be overtopping of irreplaceable dams and water reservoirs. Nuclear explosions occur, dams are overtopped, and grids do separate and island, but these events are rare—rare because of their management beyond technology and design—and when they do happen they serve to reinforce their must-never-happen dread.

–In contrast, financial services have “should-never-happen events”—bank runs should be avoided and financial crises shouldn’t happen when they too could be avoided. The standard of operating reliability is not one of precluding financial crises from ever happening, but rather of treating these crises (1) as avoidable though not always, or (2) as inevitable (“busts are part of market capitalism”) or at least (3) compensable after the fact (as in the pre-2008 assurance that it’s better to clean up after a financial bubble bursts than trying to manage it beforehand).

Not having reliability of financial services based on a (set of) must-never-happen event(s) has major consequences for economic stability and growth.

–There are two orthogonally different standards of reliability when it comes to the economy: the retrospective standard or the prospective standard of economic stability/growth.

The retrospective standard holds the economy is performing reliably when there have been no major shocks or disruptions from one point up through now. The prospective standard holds the economy is only reliable until the next major shock.

Why does the difference matter? The retrospective standard favors design approaches—that economic stability/growth can be established on the basis of the past record. In contrast, the prospective standard favors actual practice in the present and real-time performance forward. From the prospective approach, the past is like a lantern on the stern, in Samuel Taylor Coleridge’s words: It tells you where we’ve been, not where we are going.

In practical terms, the economy is prospectively only as reliable as its foundational critical infrastructures are reliable, right now when it matters for economic productivity. In fact, if economy and productivity were equated only with recognizing and capitalizing on retrospective patterns and trends, economic policymakers and managers could never be reliable prospectively.

–Global financial crises illustrate how the different standards for economic stability/growth work. A retrospective orientation to where we are today (December 2020) is to examine economic and financial patterns and trends since 2008; a prospective standard would be to ensure that—at a minimum—the 2008 financial recovery could be replicated, if not bettered, for the next global financial crisis. (Careful here: I am not saying we compare only today’s average values with yesterday’s best.)

The problem with the latter is that such a benchmark—do no worse in the financial services sector than what happened in the 2008 crisis—means that benchmark would have to reflect a must-never-happen event for the sector going forward.

What are the chances it would be the first-ever must-never-happen event among all of that sectors’ should-never-happen ones?

Principal source

This is an updated and edited section from Emery Roe and Paul Schulman (2017). “Analysis. When Critical Infrastructures Are Interconnected: Lessons for Financial Services.” European Financial Review (December – January): 33-37.

Humanism, by default

But, you insist, what’s happening today are global crises for which we do not have deep knowledge or skills or better practices. Quite the opposite, you press: Exceptional circumstances give rise to extraordinary threats and thus to emergency measures which necessarily end up as precedents for first-ever policies.

–I suggest you might want to think more about the italicized terms, as each puts you (and us) at the very limits of human comprehension, infrastructure reliability and risk management, and the societal values driving policy, management and their regulation.

For any conclusion that these are unprecedented times in altogether uncharted waters is itself the artefact and by-product of having no default option when at the limits of thinking and comprehending the way we do. Existential threats call for all manner of response, some of which are well beyond those confined to analysis and management.

–One under-acknowledged response is appealing to the background condition for taking action when analysis and management are confronted by the incomprehensible or unpredictable. Humans have always been many-sided, and so must our responses be, where that background condition of having many sides inherently frames the action we take. The challenge is to disclose those other sides with which to make the issue more tractable to analysis and management (no guarantees here).

How would this appeal to the background condition of many-sidedness work? Take the crises around those massive migrations of people that have been occurring. Bad policy mess: a reported 11 million people are in the U.S. illegally. Good policy mess: If that huge number is anywhere close to accurate, then there must be thousands—hundreds of thousands? a million? more? —who are already acting, not as objects of exclusion, but as if they were good U.S. citizens.

In other words, labeling something a wicked intractable problem creates The Ultimate One-Sided Problem—it’s, well, intractable—for humans who are everything but one-sided. The one-siders of intractability took the generous notion of intractably human and scalped it.

–Conventional risk analysts and crisis managers are quick to counter: “What do you mean we are one-sided? Good managers and analysts are always looking at the many sides of an issue and, in fact, we pride ourselves in seeking to bridge incompatible positions—and never more so than when the prospect of disaster raises the stakes!”

But there is no “middle” to bridge or compromise over when you and we are at or beyond the limits of comprehension; you have to default to something other than analysis or management as usually understood, if only to recast the intractable into something more tractable so as to re-engage analyzing and managing.

Principal source: This is a revised section from my “Licking the sharp edge of the sword,” Journal of Contingencies and Crisis Management (2018) 27(1): 1–7.