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T H E O R Y
2 APF Compass | October 2015
What are crazy futures, and
why do we need them? Let me answer this
question by considering both words: First,
‘crazy’, as contrasted with ‘normal’
generally and then specifically with
‘plausibility’ as a term of art over-used in
futures and foresight practice, especially
scenario planning. Second, ‘futures’, that is
images of non-existent, forward
temporally displaced situations and
contexts and their generation, especially as
contributing to perceptions of ‘craziness’.
In the process, I will also explore the
notions of complexity and chaos, and what
they imply for the usefulness of crazy
futures in contrast to plausible futures.
What is ‘crazy’?
Judging behaviour as
‘crazy’ is subjectively relative. When I
was a child and walking down the street
and the person coming towards me was
talking to herself out loud, I would very
likely cross the street to avoid her. Now
we are surrounded by crowds of people
‘talking to themselves’—and no longer
consider it ‘crazy’ because it is contextually
appropriate in an era of mobile phone
earpieces. It is neither unusual behaviour,
nor out of the ordinary, given a specific
technological setting. The same applies, of
course, to different cultural settings:
flooding a bathroom by using the shower
hose outside of the stall is ‘crazy’
behaviour in the USA but perfectly
rational in Japan, where the bathing room
has a drain in the floor, and one is
expected to be clean before entering the
bath.
So if we define ‘crazy’ by contrast with
‘normal’, then it is the unusual as
contrasted against the usual. ‘Crazy’ is
subjectively relative to internal
expectations filtered and biased by milieu,
culture, and technological setting, among
other things. That is precisely its utility to
futures thinking. ‘Crazy’—and the sense of
nervous apprehension it engenders in
viewers—highlights and problematizes the
assumptions and points of view that
compose the normal. If the various futures
we face are composed of surprises, of
novelty—of the abnormal—then crazy is
just what we need: it exposes our blind
spots, the dangerous limitations of our
assumptions.
But a more specific new antonym to
‘crazy’ has emerged in futures practice in
the last few decades. Rather than
opposing crazy with ‘normal,’ it equates
‘crazy’ with ‘impossible’, and opposes it
with ‘plausible’.
What is ‘plausible’?
In the early ‘80s Roy Amara gave us a
classic conceptualization of the set of all
images of the future as roughly divisible
into possible, probable, and preferred
(Amara, 1981). This was useful because it
was robust: possible was the set of
everything—every future possible to
imagine, whether or not they had already
been imagined; probable was monitorable,
if not measurable—researchers could
observe emerging issues growing in
momentum, becoming trends, evolving
into greater probability; and preferable
was articulable—researchers could engage
stakeholders in value discussions and
judgements and essentially map the value
territory. In Venn diagram terms, the
categories overlap, but are still useful as a
conceptual base for futures research
methods.
Yet somehow over the intervening
decades, the terms have morphed to
Crazy Futures: Why Plausibility is Maladaptive
by Wendy Schultz
One person's craziness is
another person's reality. 
Tim Burton
* Crazy * music, dudes
and dudettes! …he’s *
crazy * about his dog /
fishing / iPad… You want
to go bungee-jumping?
Are you * crazy *?
You keep using that word.
I do not think it means
what you think it means.
Inigo Montoya to Vizzini, in
The Princess Bride
Wendy Schultz’s presentation on Crazy Futures was one of the
highlights of the APF’s ‘Follow The Sun’ Virtual Gathering, held in
2011. She has now written a working paper based on the
presentation and an earlier article. I’m delighted that Compass is
able to include a shortened version of that working paper. (AC) .
T H E O R Y
APF Compass | October 2015 3
‘possible, plausible, probable, and
preferable futures’. Ruud van der Helm
carefully explores operational definitions
that distinguish possible, probable, and
plausible (van der Helm, 2006). He
reviews both objective probability (based
on the repeatability of systems) and
subjective probability (based on personal
or group utility functions); and also offers
distinctions between absolute possibility
(based on the known laws of reality) and
contingent possibility (based on
capabilities at given points on a time
horizon). Van der Helm then contrasts
both of these with plausibility, due to its
intrinsically subject-related nature based
on judgment and conviction. The
challenge for futures practice is “to
develop futures that are indeed ‘equally
plausible’ but sensibly different (van der
Helm, 2006, p26) in order to present
convincing alternatives for exploration.
Sometimes the wide and
woolly set of ‘possible’ drops entirely
from the field of view, and only ‘probable,
plausible, and preferable’ futures remain.
Ramirez and Selin suggest that as futures
studies, foresight, and scenario planning
evolved, probability evaluations became a
key evaluative criterion for forecasters
focussed on predictive capability, where
plausibility became the hallmark for
exploratory practitioners focussed on
appreciating alternative futures (Ramirez
and Selin, 2014). ‘Plausibility’ has emerged
as a primary operating assumption, even a
criterion for excellence, within English-
speaking scenario practice (especially
within the community of ‘scenario
planners’).
Here is a partial inventory of the
evidence:
• ‘To be effective, scenarios must be
plausible, consistent and offer insights
into the future. … Plausibility: A
scenario must be plausible. This means
that it must fall within the limits of
what might conceivably
happen.’ (FORLEARN, 2005)
• From ThinkingAbout the Future:
Guidelines for Strategic Foresight,
‘plausible futures: reasonable
outcomes, with a discernible pathway
from the present to the future. For
example, discovering extra-terrestrial
life within the next decade is possible,
but not plausible.’ (Bishop and Hines,
2006, p128)
• From The Scenario Planning Handbook:
‘scenarios must meet the following
criteria: they must be plausible – that
is, they must fall within the limits of
what might reasonably be expected to
happen.’ (Ralston and Wilson, 2006, p
121)
• ‘Scenarios are possible future states of
the world that represent alternative
plausible conditions under different
assumptions.’ (Mahmoud et al., 2009,
p798)
Let me emphasise the first two of these
quotes because they clarify the matter by
offering a definition and an example of
plausibility. FOR-LEARN suggests that a
plausible scenario ‘must fall within the
limits of what might conceivably happen.’
The authors of ThinkingAbout the Future
suggest that plausible futures offer
‘reasonable outcomes, with a discernible
pathway from the present to the future.’
They further clarify with an example:
‘discovering extra-terrestrial life within the
next decade is possible, but not plausible.’
The difficulty with both of these lies in
the subjective capability and state of
knowledge of the viewer: the more
knowledgeable the viewer on the topic of
the scenario, or its component details, the
more events and futures they are capable
of imagining as something that could
‘conceivably happen.’ In the example of
discovering extra-terrestrial life, the
scenario is possible, but perhaps of low
probability. But it is in fact plausible,
because discernible pathways exist not
only for the evolution of extra-terrestrial
life, but also for our potential discovery of
it (given the various robotic surveys of
other planets we have launched recently).
Defining ‘plausibility’ is
problematic. This limits its
usefulness as a criterion for excellence in
futures thinking, even assuming that it is
an appropriate criterion for excellence. So
let’s hit the dictionaries once again: what
is the technical definition of ‘plausible,’
and what is its etymology? The Merriam-
Webster Dictionary tells us that plausible
means:
superficially fair, reasonable, or
valuable but often specious <a plausible
pretext>; superficially pleasing or
persuasive <a swindler… , then a
quack, then smooth, plausible
gentleman — R. W. Emerson>;
appearing worthy of belief <the
argument was both powerful and
plausible>.
When consultants use the label
‘plausible scenarios’ it is code
for ‘Don’t give the client crazy
futures’.
T H E O R Y
4 APF Compass | October 2015
Embedded within the structure of this
word is the professional vulnerability that
all futures researchers face in practicing an
intellectual discipline for which there are
no future facts, in a world of decision-
makers hungry for an evidence base: how
to appear valuable when we are suspected
of purveying specious results and being
quacks.
My observations of how consultants use
the label ‘plausible scenarios’, or ‘plausible
futures’, suggest that it is actually code for
‘don’t give the clients crazy futures, or
they’ll reject them, reject us, and we won’t
get paid and will never work in this town
again’. How often in strategic foresight
projects do the end results offer truly
transformational futures that challenge
participants to consider the possibilities of
deep structural change? How often do
scenarios create ‘productive discomfort’ in
how people see the world (Ramirez and
Selin, 2014, p67)? Of worlds with entirely
different economic or political systems?
Of usefully crazy futures?
What are ‘futures’ – and why
and how do we think about
them?
While scenario thinking per
se originated in Herman Kahn’s policy
strategy concerns (Kahn, 1962), the origin
of futures thinking is rooted in the image
of the future, and concerns of futurist Fred
Polak for the vitality of human culture and
civilizations (Polak, 1961). We shouldn’t
limit the ‘futures’ in ‘crazy futures’ to
strategic scenarios alone. Such purpose-
designed images of the future compete for
mental and emotional space with a nearly
endless supply of images of the future
generated across human activity.
Imagining long-range futures is a talent
unique to our species – so what images do
we create, how do we create them, and
what are they for?
Futures studies as an intellectual
endeavour includes the inventory and
content analysis of existing images of the
future. Humans express imagined futures
in all media, as all variety of cultural
constructs, and in varying scales of
personal and civilizational usefulness.
Images of the future in advertisements,
counselling programs, and in daydreams
target personal behaviour by expressing
self-fulfilling or self-defeating prophecies.
In the same way, community,
organizational, and political futures
attempt to inspire group action through
both cautionary tales (‘doom and gloom’;
nightmare futures), and through
aspirational tomorrows (visions). Images
of the future are embedded in all political
discourses and ideologies, whether they
warn of imminent national collapse at the
hands of the opposition (nightmare
futures), call for ‘Holding the course!
Steady on!’ (present-trends-extended
futures), or depict a happy era to come
(Conservatives: A return to the Golden
Age! Liberals: An All-New Brighter
Tomorrow!). At the largest scale, Polak’s
call for aspirational, transformative images
of the future was meant to catalyse
civilization-level vitality.
But categorizing any
specific image of the future as a
nightmare or a vision is entirely subjective.
Furthermore, it is a subjective judgment
that can generate tragedies. Conflicts arise
when people fear that a nightmare future
is the hidden goal of others around them.
And any extreme of difference is labelled
‘crazy,’ whether it is extremely good,
extremely bad, or extremely different.
We could probably conceptualize a
craziness scale for futures, anchored at
sanity/normality/plausibility on the one
end, and ‘completely bug@%$@ crazy’ at
the other extreme. It might be
operationalized as the percentage of any
given population that perceives a specific
image of the future as offensively, scarily
transgressive and transformative beyond
all bounds of reason and decency. If
nobody feels the future is beyond all
bounds, it’s normal and plausible as normal
can be. If 50% of the people feel it’s
beyond all bounds of reason and decency,
and the other 50% do not, then it’s only
moderately crazy. And so on.
Image: Wendy Schultz, 2014.
T H E O R Y
APF Compass | October 2015 5
Scenario planners and
scenario builders are not alone in devising
images of the future. Artists, advertisers,
novelists, screenwriters, animators,
sculptors, analysts, and leaders all generate
stories, images, and artefacts expressing
different future outcomes and
environments. So do prophets, astrologers,
tea-leaf readers, shamans, and particularly
skilled remote viewers. By extension, if
rigorous but intuitive tools such as guided
visualization earn scepticism, artistic
inspiration may as well – and astrologers,
shamans, and remote viewers earn outright
derision.
Why shouldn’t they? Why shouldn’t we
just discard images of the future generated
by ‘crazy’ methods such as astrological
computations and shamanic trances and
remote viewing? To answer that we must
return to the conceptual foundations and
core assumptions of futures studies as a
field of research, which include three basic
axioms:
1. There is not one single future, but
multiple alternative futures;
2. People’s beliefs about the future, and
their images of the future, affect their
decisions and actions, which in turn
create the futures as an emergent
property of aggregated interconnected
actions;
3. Because any given lived future at any
given moment is an emergent property
of a complex system that frequently
exhibits chaotic behaviour, it is not
possible to ‘predict’ human futures.
It follows from these axioms that it is
not important which image of the future is
correct, or best supported by empirically
credible data, or most plausible. The most
important future is the future the greatest
number of people believe the most: it is
the future on which they are basing their
decisions and actions. If people read
astrological forecasts or tea leaves or goat
entrails, and then act on those images of
the future, then those images of the future
are important for us as futures researchers
to consider. The craziest methods can
generate compelling futures, and crazy or
not, compelling futures are the futures
that should concern us the most.
Given that societies and cultures
contain multiple sources of novel ideas
and crazy futures, critical analysis of
existing images of the future should be a
cornerstone of comprehensive futures
research. When researchers move beyond
content analysis of existing images of the
future to creating purpose-built images of
the future for exploratory, critical, or
strategic purposes, then it may be useful to
generate crazy futures by design to mimic
their emergence across societies and
cultures.
Why are crazy futures the
most useful?
Consideration of the basic axioms of
futures studies points directly to why
crazy futures are useful: we are embedded
in—and are ourselves—complex systems
flirting daily with chaos. In describing the
‘edge of chaos’ (Langton, 1990), Chris
Langton’s egg diagram maps the transition
boundaries between periodic, chaotic, and
complex states. This diagram categorizes
four types of systems. There are fixed
systems, existing in a state of maximum
thermodynamic equilibrium, meaning
maximum entropy (or death). There are
periodic systems, which are ordered but
not adaptive. There are chaotic systems,
characterized by sensitive dependence on
initial conditions, and non-linear
determinism. Finally, there are complex
systems that are self-organizing, self-
directing, self-repairing, and adaptive.
The self-directing and adaptive
characteristics of complex systems result
in evolutionary change over time,
We all agree that your
theory is crazy, but is it
crazy enough? 
Niels Bohr
Transition boundaries between periodic, chaotic and complex states. Source: Chris Langton
We are embedded in complex
systems flirting daily with chaos
T H E O R Y
6 APF Compass | October 2015
producing in turn novel emergent
properties. They generate surprises. If
sentient, they undoubtedly surprise
themselves. Emergent properties are ‘out
of the ordinary’, if by ordinary we mean
the previous patterns of ordered system
behaviour. So any complex adaptive
system (and all human systems—whether
single individuals or collections as
organizations, or communities, or nation-
states—are complex adaptive/evolving
systems) will at some point or another
generate ‘crazy states’.
It becomes even more likely
that these systems will exhibit ‘crazy’, that
is, ‘out of the ordinary’, behaviour if they
are stressed by larger energy or
information flows. One response to stress
in a complex system is a transition into
chaotic behaviour. This phase change also
creates the potential for novel and unusual
behaviour outside the
ordinary.
Langton’s diagram
summarizes system
characteristics as
observed externalities.
In contrast, Snowden’s
Cynefin Framework
offers the internal view,
as the observing
consciousness attempts
to make sense of
dynamic systems and
events in transition.
“Cynefin … contrasts
how things are, with
how we know them,
with how we perceive
them” (Snowden, 2013). Cynefin organizes
both the systems, and the knowledge
about those systems, in order to suggest
‘best fit’ paths for actors navigating the
dynamics of those systems and events.
One of the best fit paths suggests a
deliberate brief dip into chaos precisely to
generate radical innovation, or potential
‘crazy futures.’
So in the end, a focus on ‘crazy futures’
may be the most adaptive strategy we can
encourage people to adopt, and a focus on
‘plausibility’ the most maladaptive. Is your
future crazy enough to help you, your
organization, your community evolve?
Better that we rehearse the full range of
surprises that may await us across our
futures, than be ill-prepared and unable to
adapt. Emergence and evolution are
preferable to equilibrium.
Coda
In order to thrive in whatever
futures we pass through, it helps to
rehearse what our values, assumptions,
decisions and actions—our very sense of
self—might be in those futures. Authentic
rehearsal inevitably requires that at some
level we choose to believe not only what is
plausible, and not just what is probable or
possible, but that we stretch our values,
assumptions, and sense of self to believe
and rehearse for the impossible as well.
So call me crazy. ◀︎
You have to go on and be
crazy. Craziness is like
heaven. 
Jimi Hendrix
Alice laughed. ‘There's no
use trying,’ she said. ‘One
can't believe impossible
things.’
‘I dare say you haven't had
much practice,’ said the
queen. ‘When I was your
age, I always did it for half
an hour a day. Why,
sometimes I've believed as
many as six impossible
things before breakfast.’
Lewis Carroll / Charles
Dodgson, Alice in
Wonderland
Cynefin Framework, David J. Snowden, Cognitive Edge
Note
This article is an update of an essay originally written
for the Mutual Learning Workshop on Crazy Futures,
27 June – 1 July 2011. This activity of The Bucharest
Dialogues was sponsored by UEFISCSU, the Romanian
Executive Agency for Higher Education and Research
Funding, and their support is gratefully
acknowledged.
T H E O R Y
APF Compass | October 2015 7
References
Amara, Roy, The futures field: Searching for
definitions and boundaries, The Futurist 15:1
(1981), 25-29.
Peter Bishop, Andy Hines, and Terry Collins, The
current state of scenario development: an
overview of techniques, Foresight 9:1 (2007)
5-25
Thomas J. Chermack, Susan A. Lynham, Wendy
E. A. Ruona, A Review of Scenario Planning
Literature, Futures Research Quarterly
(Summer 2001) 7-31
FORLEARN 2005-7, Scenario building, accessed
21 November 2014.
Oliver Freeman, Scenario Planning: Case Study
4, accessed 21 November 2014.
Michel Godet, Creating futures: scenario
planning as a strategic management tool
(London: Economica, 2001)
Andy Hines and Peter Bishop, Thinking about
the Future, Guidelines for Strategic Foresight,
(Washington: Social Technologies, 2006)
Herman Kahn, Thinking about the Unthinkable
(New York: Avon Books, 1962).
Christopher G. Langton, Computation at the
edge of chaos: phase transitions and emergent
computation, Physica D 42 (1990) 12-37. Egg
diagram accessed 21 November 2014.
Mats Lindgren and Hans Bandhold, Scenario
Planning: the link between future and strategy
(New York: Palgrave Macmillan, 2003)
Mohammed Mahmoud, Yuqiong Liu, Holly
Hartmann, Steven Stewart, Thorsten Wagener,
Darius Semens, Robert Stewart, Hoshin Gupta,
Damian Dominquez, Francina Dominguez,
David Hulse, Rebecca Letcher, Brenda
Rashleigh, Court Smith, Roger Street, Jenifer
Ticehurst, Mark Twery, Hedwig van Delden,
Ruth Waldick, Denis White, Larry Winter, A
formal framework for scenario development in
support of environmental decision-making,
Environmental Modelling & Software 24 (2009)
798-808.
Merriam-Webster, Crazy, accessed 21 November
2014.
Merriam-Webster, Plausibile, accessed 21
November 2014.
Masahiro Mori, The uncanny valley, IEEE
Spectrum, accessed 21 November 2014, .
Oxford English Dictionary, Plausibility, accessed
21 November 2014.
Fred L. Polak, The image of the future:
enlightening the past, orientating the present,
forecasting the future (New York: Oceana
Publications, 1961)
Bill Ralston and Ian Wilson, The Scenario
Planning Handbook: Developing Strategies in
Uncertain Times (London: Thomson/South-
Western, 2006)
Rafael Ramirez, Cynthia Selin, Plausibility and
probability in scenario planning, Foresight 16:1
(2014) 54-74
Frank Rose, The Art of Immersion: How the
digital generation is remaking Hollywood,
Madison Avenue, and the way we tell stories
(New York: W. W. Norton & Company, 2012)
Paul J. H. Schoemaker, When and how to use
scenario planning: a heuristic approach with
illustration, Journal of Forecasting 10:6 (1991)
549-564
Wendy L. Schultz, The cultural contradictions of
managing change: using horizon scanning in
an evidence-based policy context, Foresight 8:4
(2006) 11.
Bill Sharpe and Kees van der Heijden, Scenarios
for Success: Turning insights into action
(Chichester: John Wiley & Sons Ltd, 2003)
David J. Snowden, Mary E. Boone, A leader’s
framework for decision-making, Harvard
Business Review, November (2007), accessed
21 November 2014.
Snowden, Great is the power of steady
misrepresentation, December 11, 2013,
accessed 21 November 2014, .
Ruud van der Helm, Towards a clarification of
probability, possibility, and plausibility: how
semantics could help futures practice to
improve, Foresight 8:3 (2006) 17-27
Dr. Wendy Schultz is Director of
Infinite Futures, a futures
consultancy based in Oxford,
England. She is an APF member, and
a Fellow of the World Futures
Studies Federation.

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Crazy Futures: Why Plausibility is Maladaptive

  • 1. T H E O R Y 2 APF Compass | October 2015 What are crazy futures, and why do we need them? Let me answer this question by considering both words: First, ‘crazy’, as contrasted with ‘normal’ generally and then specifically with ‘plausibility’ as a term of art over-used in futures and foresight practice, especially scenario planning. Second, ‘futures’, that is images of non-existent, forward temporally displaced situations and contexts and their generation, especially as contributing to perceptions of ‘craziness’. In the process, I will also explore the notions of complexity and chaos, and what they imply for the usefulness of crazy futures in contrast to plausible futures. What is ‘crazy’? Judging behaviour as ‘crazy’ is subjectively relative. When I was a child and walking down the street and the person coming towards me was talking to herself out loud, I would very likely cross the street to avoid her. Now we are surrounded by crowds of people ‘talking to themselves’—and no longer consider it ‘crazy’ because it is contextually appropriate in an era of mobile phone earpieces. It is neither unusual behaviour, nor out of the ordinary, given a specific technological setting. The same applies, of course, to different cultural settings: flooding a bathroom by using the shower hose outside of the stall is ‘crazy’ behaviour in the USA but perfectly rational in Japan, where the bathing room has a drain in the floor, and one is expected to be clean before entering the bath. So if we define ‘crazy’ by contrast with ‘normal’, then it is the unusual as contrasted against the usual. ‘Crazy’ is subjectively relative to internal expectations filtered and biased by milieu, culture, and technological setting, among other things. That is precisely its utility to futures thinking. ‘Crazy’—and the sense of nervous apprehension it engenders in viewers—highlights and problematizes the assumptions and points of view that compose the normal. If the various futures we face are composed of surprises, of novelty—of the abnormal—then crazy is just what we need: it exposes our blind spots, the dangerous limitations of our assumptions. But a more specific new antonym to ‘crazy’ has emerged in futures practice in the last few decades. Rather than opposing crazy with ‘normal,’ it equates ‘crazy’ with ‘impossible’, and opposes it with ‘plausible’. What is ‘plausible’? In the early ‘80s Roy Amara gave us a classic conceptualization of the set of all images of the future as roughly divisible into possible, probable, and preferred (Amara, 1981). This was useful because it was robust: possible was the set of everything—every future possible to imagine, whether or not they had already been imagined; probable was monitorable, if not measurable—researchers could observe emerging issues growing in momentum, becoming trends, evolving into greater probability; and preferable was articulable—researchers could engage stakeholders in value discussions and judgements and essentially map the value territory. In Venn diagram terms, the categories overlap, but are still useful as a conceptual base for futures research methods. Yet somehow over the intervening decades, the terms have morphed to Crazy Futures: Why Plausibility is Maladaptive by Wendy Schultz One person's craziness is another person's reality.  Tim Burton * Crazy * music, dudes and dudettes! …he’s * crazy * about his dog / fishing / iPad… You want to go bungee-jumping? Are you * crazy *? You keep using that word. I do not think it means what you think it means. Inigo Montoya to Vizzini, in The Princess Bride Wendy Schultz’s presentation on Crazy Futures was one of the highlights of the APF’s ‘Follow The Sun’ Virtual Gathering, held in 2011. She has now written a working paper based on the presentation and an earlier article. I’m delighted that Compass is able to include a shortened version of that working paper. (AC) .
  • 2. T H E O R Y APF Compass | October 2015 3 ‘possible, plausible, probable, and preferable futures’. Ruud van der Helm carefully explores operational definitions that distinguish possible, probable, and plausible (van der Helm, 2006). He reviews both objective probability (based on the repeatability of systems) and subjective probability (based on personal or group utility functions); and also offers distinctions between absolute possibility (based on the known laws of reality) and contingent possibility (based on capabilities at given points on a time horizon). Van der Helm then contrasts both of these with plausibility, due to its intrinsically subject-related nature based on judgment and conviction. The challenge for futures practice is “to develop futures that are indeed ‘equally plausible’ but sensibly different (van der Helm, 2006, p26) in order to present convincing alternatives for exploration. Sometimes the wide and woolly set of ‘possible’ drops entirely from the field of view, and only ‘probable, plausible, and preferable’ futures remain. Ramirez and Selin suggest that as futures studies, foresight, and scenario planning evolved, probability evaluations became a key evaluative criterion for forecasters focussed on predictive capability, where plausibility became the hallmark for exploratory practitioners focussed on appreciating alternative futures (Ramirez and Selin, 2014). ‘Plausibility’ has emerged as a primary operating assumption, even a criterion for excellence, within English- speaking scenario practice (especially within the community of ‘scenario planners’). Here is a partial inventory of the evidence: • ‘To be effective, scenarios must be plausible, consistent and offer insights into the future. … Plausibility: A scenario must be plausible. This means that it must fall within the limits of what might conceivably happen.’ (FORLEARN, 2005) • From ThinkingAbout the Future: Guidelines for Strategic Foresight, ‘plausible futures: reasonable outcomes, with a discernible pathway from the present to the future. For example, discovering extra-terrestrial life within the next decade is possible, but not plausible.’ (Bishop and Hines, 2006, p128) • From The Scenario Planning Handbook: ‘scenarios must meet the following criteria: they must be plausible – that is, they must fall within the limits of what might reasonably be expected to happen.’ (Ralston and Wilson, 2006, p 121) • ‘Scenarios are possible future states of the world that represent alternative plausible conditions under different assumptions.’ (Mahmoud et al., 2009, p798) Let me emphasise the first two of these quotes because they clarify the matter by offering a definition and an example of plausibility. FOR-LEARN suggests that a plausible scenario ‘must fall within the limits of what might conceivably happen.’ The authors of ThinkingAbout the Future suggest that plausible futures offer ‘reasonable outcomes, with a discernible pathway from the present to the future.’ They further clarify with an example: ‘discovering extra-terrestrial life within the next decade is possible, but not plausible.’ The difficulty with both of these lies in the subjective capability and state of knowledge of the viewer: the more knowledgeable the viewer on the topic of the scenario, or its component details, the more events and futures they are capable of imagining as something that could ‘conceivably happen.’ In the example of discovering extra-terrestrial life, the scenario is possible, but perhaps of low probability. But it is in fact plausible, because discernible pathways exist not only for the evolution of extra-terrestrial life, but also for our potential discovery of it (given the various robotic surveys of other planets we have launched recently). Defining ‘plausibility’ is problematic. This limits its usefulness as a criterion for excellence in futures thinking, even assuming that it is an appropriate criterion for excellence. So let’s hit the dictionaries once again: what is the technical definition of ‘plausible,’ and what is its etymology? The Merriam- Webster Dictionary tells us that plausible means: superficially fair, reasonable, or valuable but often specious <a plausible pretext>; superficially pleasing or persuasive <a swindler… , then a quack, then smooth, plausible gentleman — R. W. Emerson>; appearing worthy of belief <the argument was both powerful and plausible>. When consultants use the label ‘plausible scenarios’ it is code for ‘Don’t give the client crazy futures’.
  • 3. T H E O R Y 4 APF Compass | October 2015 Embedded within the structure of this word is the professional vulnerability that all futures researchers face in practicing an intellectual discipline for which there are no future facts, in a world of decision- makers hungry for an evidence base: how to appear valuable when we are suspected of purveying specious results and being quacks. My observations of how consultants use the label ‘plausible scenarios’, or ‘plausible futures’, suggest that it is actually code for ‘don’t give the clients crazy futures, or they’ll reject them, reject us, and we won’t get paid and will never work in this town again’. How often in strategic foresight projects do the end results offer truly transformational futures that challenge participants to consider the possibilities of deep structural change? How often do scenarios create ‘productive discomfort’ in how people see the world (Ramirez and Selin, 2014, p67)? Of worlds with entirely different economic or political systems? Of usefully crazy futures? What are ‘futures’ – and why and how do we think about them? While scenario thinking per se originated in Herman Kahn’s policy strategy concerns (Kahn, 1962), the origin of futures thinking is rooted in the image of the future, and concerns of futurist Fred Polak for the vitality of human culture and civilizations (Polak, 1961). We shouldn’t limit the ‘futures’ in ‘crazy futures’ to strategic scenarios alone. Such purpose- designed images of the future compete for mental and emotional space with a nearly endless supply of images of the future generated across human activity. Imagining long-range futures is a talent unique to our species – so what images do we create, how do we create them, and what are they for? Futures studies as an intellectual endeavour includes the inventory and content analysis of existing images of the future. Humans express imagined futures in all media, as all variety of cultural constructs, and in varying scales of personal and civilizational usefulness. Images of the future in advertisements, counselling programs, and in daydreams target personal behaviour by expressing self-fulfilling or self-defeating prophecies. In the same way, community, organizational, and political futures attempt to inspire group action through both cautionary tales (‘doom and gloom’; nightmare futures), and through aspirational tomorrows (visions). Images of the future are embedded in all political discourses and ideologies, whether they warn of imminent national collapse at the hands of the opposition (nightmare futures), call for ‘Holding the course! Steady on!’ (present-trends-extended futures), or depict a happy era to come (Conservatives: A return to the Golden Age! Liberals: An All-New Brighter Tomorrow!). At the largest scale, Polak’s call for aspirational, transformative images of the future was meant to catalyse civilization-level vitality. But categorizing any specific image of the future as a nightmare or a vision is entirely subjective. Furthermore, it is a subjective judgment that can generate tragedies. Conflicts arise when people fear that a nightmare future is the hidden goal of others around them. And any extreme of difference is labelled ‘crazy,’ whether it is extremely good, extremely bad, or extremely different. We could probably conceptualize a craziness scale for futures, anchored at sanity/normality/plausibility on the one end, and ‘completely bug@%$@ crazy’ at the other extreme. It might be operationalized as the percentage of any given population that perceives a specific image of the future as offensively, scarily transgressive and transformative beyond all bounds of reason and decency. If nobody feels the future is beyond all bounds, it’s normal and plausible as normal can be. If 50% of the people feel it’s beyond all bounds of reason and decency, and the other 50% do not, then it’s only moderately crazy. And so on. Image: Wendy Schultz, 2014.
  • 4. T H E O R Y APF Compass | October 2015 5 Scenario planners and scenario builders are not alone in devising images of the future. Artists, advertisers, novelists, screenwriters, animators, sculptors, analysts, and leaders all generate stories, images, and artefacts expressing different future outcomes and environments. So do prophets, astrologers, tea-leaf readers, shamans, and particularly skilled remote viewers. By extension, if rigorous but intuitive tools such as guided visualization earn scepticism, artistic inspiration may as well – and astrologers, shamans, and remote viewers earn outright derision. Why shouldn’t they? Why shouldn’t we just discard images of the future generated by ‘crazy’ methods such as astrological computations and shamanic trances and remote viewing? To answer that we must return to the conceptual foundations and core assumptions of futures studies as a field of research, which include three basic axioms: 1. There is not one single future, but multiple alternative futures; 2. People’s beliefs about the future, and their images of the future, affect their decisions and actions, which in turn create the futures as an emergent property of aggregated interconnected actions; 3. Because any given lived future at any given moment is an emergent property of a complex system that frequently exhibits chaotic behaviour, it is not possible to ‘predict’ human futures. It follows from these axioms that it is not important which image of the future is correct, or best supported by empirically credible data, or most plausible. The most important future is the future the greatest number of people believe the most: it is the future on which they are basing their decisions and actions. If people read astrological forecasts or tea leaves or goat entrails, and then act on those images of the future, then those images of the future are important for us as futures researchers to consider. The craziest methods can generate compelling futures, and crazy or not, compelling futures are the futures that should concern us the most. Given that societies and cultures contain multiple sources of novel ideas and crazy futures, critical analysis of existing images of the future should be a cornerstone of comprehensive futures research. When researchers move beyond content analysis of existing images of the future to creating purpose-built images of the future for exploratory, critical, or strategic purposes, then it may be useful to generate crazy futures by design to mimic their emergence across societies and cultures. Why are crazy futures the most useful? Consideration of the basic axioms of futures studies points directly to why crazy futures are useful: we are embedded in—and are ourselves—complex systems flirting daily with chaos. In describing the ‘edge of chaos’ (Langton, 1990), Chris Langton’s egg diagram maps the transition boundaries between periodic, chaotic, and complex states. This diagram categorizes four types of systems. There are fixed systems, existing in a state of maximum thermodynamic equilibrium, meaning maximum entropy (or death). There are periodic systems, which are ordered but not adaptive. There are chaotic systems, characterized by sensitive dependence on initial conditions, and non-linear determinism. Finally, there are complex systems that are self-organizing, self- directing, self-repairing, and adaptive. The self-directing and adaptive characteristics of complex systems result in evolutionary change over time, We all agree that your theory is crazy, but is it crazy enough?  Niels Bohr Transition boundaries between periodic, chaotic and complex states. Source: Chris Langton We are embedded in complex systems flirting daily with chaos
  • 5. T H E O R Y 6 APF Compass | October 2015 producing in turn novel emergent properties. They generate surprises. If sentient, they undoubtedly surprise themselves. Emergent properties are ‘out of the ordinary’, if by ordinary we mean the previous patterns of ordered system behaviour. So any complex adaptive system (and all human systems—whether single individuals or collections as organizations, or communities, or nation- states—are complex adaptive/evolving systems) will at some point or another generate ‘crazy states’. It becomes even more likely that these systems will exhibit ‘crazy’, that is, ‘out of the ordinary’, behaviour if they are stressed by larger energy or information flows. One response to stress in a complex system is a transition into chaotic behaviour. This phase change also creates the potential for novel and unusual behaviour outside the ordinary. Langton’s diagram summarizes system characteristics as observed externalities. In contrast, Snowden’s Cynefin Framework offers the internal view, as the observing consciousness attempts to make sense of dynamic systems and events in transition. “Cynefin … contrasts how things are, with how we know them, with how we perceive them” (Snowden, 2013). Cynefin organizes both the systems, and the knowledge about those systems, in order to suggest ‘best fit’ paths for actors navigating the dynamics of those systems and events. One of the best fit paths suggests a deliberate brief dip into chaos precisely to generate radical innovation, or potential ‘crazy futures.’ So in the end, a focus on ‘crazy futures’ may be the most adaptive strategy we can encourage people to adopt, and a focus on ‘plausibility’ the most maladaptive. Is your future crazy enough to help you, your organization, your community evolve? Better that we rehearse the full range of surprises that may await us across our futures, than be ill-prepared and unable to adapt. Emergence and evolution are preferable to equilibrium. Coda In order to thrive in whatever futures we pass through, it helps to rehearse what our values, assumptions, decisions and actions—our very sense of self—might be in those futures. Authentic rehearsal inevitably requires that at some level we choose to believe not only what is plausible, and not just what is probable or possible, but that we stretch our values, assumptions, and sense of self to believe and rehearse for the impossible as well. So call me crazy. ◀︎ You have to go on and be crazy. Craziness is like heaven.  Jimi Hendrix Alice laughed. ‘There's no use trying,’ she said. ‘One can't believe impossible things.’ ‘I dare say you haven't had much practice,’ said the queen. ‘When I was your age, I always did it for half an hour a day. Why, sometimes I've believed as many as six impossible things before breakfast.’ Lewis Carroll / Charles Dodgson, Alice in Wonderland Cynefin Framework, David J. Snowden, Cognitive Edge Note This article is an update of an essay originally written for the Mutual Learning Workshop on Crazy Futures, 27 June – 1 July 2011. This activity of The Bucharest Dialogues was sponsored by UEFISCSU, the Romanian Executive Agency for Higher Education and Research Funding, and their support is gratefully acknowledged.
  • 6. T H E O R Y APF Compass | October 2015 7 References Amara, Roy, The futures field: Searching for definitions and boundaries, The Futurist 15:1 (1981), 25-29. Peter Bishop, Andy Hines, and Terry Collins, The current state of scenario development: an overview of techniques, Foresight 9:1 (2007) 5-25 Thomas J. Chermack, Susan A. Lynham, Wendy E. A. Ruona, A Review of Scenario Planning Literature, Futures Research Quarterly (Summer 2001) 7-31 FORLEARN 2005-7, Scenario building, accessed 21 November 2014. Oliver Freeman, Scenario Planning: Case Study 4, accessed 21 November 2014. Michel Godet, Creating futures: scenario planning as a strategic management tool (London: Economica, 2001) Andy Hines and Peter Bishop, Thinking about the Future, Guidelines for Strategic Foresight, (Washington: Social Technologies, 2006) Herman Kahn, Thinking about the Unthinkable (New York: Avon Books, 1962). Christopher G. Langton, Computation at the edge of chaos: phase transitions and emergent computation, Physica D 42 (1990) 12-37. Egg diagram accessed 21 November 2014. Mats Lindgren and Hans Bandhold, Scenario Planning: the link between future and strategy (New York: Palgrave Macmillan, 2003) Mohammed Mahmoud, Yuqiong Liu, Holly Hartmann, Steven Stewart, Thorsten Wagener, Darius Semens, Robert Stewart, Hoshin Gupta, Damian Dominquez, Francina Dominguez, David Hulse, Rebecca Letcher, Brenda Rashleigh, Court Smith, Roger Street, Jenifer Ticehurst, Mark Twery, Hedwig van Delden, Ruth Waldick, Denis White, Larry Winter, A formal framework for scenario development in support of environmental decision-making, Environmental Modelling & Software 24 (2009) 798-808. Merriam-Webster, Crazy, accessed 21 November 2014. Merriam-Webster, Plausibile, accessed 21 November 2014. Masahiro Mori, The uncanny valley, IEEE Spectrum, accessed 21 November 2014, . Oxford English Dictionary, Plausibility, accessed 21 November 2014. Fred L. Polak, The image of the future: enlightening the past, orientating the present, forecasting the future (New York: Oceana Publications, 1961) Bill Ralston and Ian Wilson, The Scenario Planning Handbook: Developing Strategies in Uncertain Times (London: Thomson/South- Western, 2006) Rafael Ramirez, Cynthia Selin, Plausibility and probability in scenario planning, Foresight 16:1 (2014) 54-74 Frank Rose, The Art of Immersion: How the digital generation is remaking Hollywood, Madison Avenue, and the way we tell stories (New York: W. W. Norton & Company, 2012) Paul J. H. Schoemaker, When and how to use scenario planning: a heuristic approach with illustration, Journal of Forecasting 10:6 (1991) 549-564 Wendy L. Schultz, The cultural contradictions of managing change: using horizon scanning in an evidence-based policy context, Foresight 8:4 (2006) 11. Bill Sharpe and Kees van der Heijden, Scenarios for Success: Turning insights into action (Chichester: John Wiley & Sons Ltd, 2003) David J. Snowden, Mary E. Boone, A leader’s framework for decision-making, Harvard Business Review, November (2007), accessed 21 November 2014. Snowden, Great is the power of steady misrepresentation, December 11, 2013, accessed 21 November 2014, . Ruud van der Helm, Towards a clarification of probability, possibility, and plausibility: how semantics could help futures practice to improve, Foresight 8:3 (2006) 17-27 Dr. Wendy Schultz is Director of Infinite Futures, a futures consultancy based in Oxford, England. She is an APF member, and a Fellow of the World Futures Studies Federation.