insight

Rational decision making with incomplete information

In the intricate world of risk management and strategic planning, the concepts of white swans, grey swans, black swans, and grey rhinos provide a lexicon for navigating unpredictability and preparedness.

White swans are the mundane, predictable events we see coming, like the changing of seasons.

Companies routinely plan for these, adjusting inventories and marketing strategies in anticipation of winter snows or summer heat.

Grey swans, however, are those rare but conceivable occurrences that can still pack a punch.

Think of a severe economic recession: while not entirely out of the blue, its precise timing and severity remain elusive, requiring a level of preparation that goes beyond the norm.

Black swans, on the other hand, are the wildcards of our era – those highly improbable and unforeseen events that seem obvious only in hindsight.

The 2008 financial crisis epitomizes a black swan, catching most off guard despite scattered warning signs.

Its unexpected arrival and devastating impact reshaped the global economic landscape in ways few could have predicted.

Then there are the grey rhinos, the lumbering beasts of risk that stand in plain sight yet are often ignored until they charge.

Climate change is a quintessential grey rhino: a high-probability, high-impact threat backed by clear evidence and yet met with inadequate action.

Unlike black swans, grey rhinos don't lurk in the shadows; they're visible and their risks are well-documented, but they suffer from a collective inattention until they become crises.

These concepts differ primarily in predictability and impact.

White swans are routine and manageable, grey swans are rare but foreseeable with significant impacts, black swans are utterly unexpected and transformative, and grey rhinos are glaringly obvious yet neglected threats.

By understanding and planning for these different types of risks, organizations and policymakers can better navigate the uncertainties of our world, ensuring they're not only prepared for the predictable but also resilient in the face of the unexpected.

These terms describe different types of events based on their predictability, impact, and visibility in risk management and strategic planning.

White Swans are events that are predictable and expected.

They are regular occurrences that can be planned for based on historical data and trends.

Example: Seasonal changes in weather, such as winter snow in northern climates, are white swans.

Companies that sell winter clothing or snow removal equipment plan their inventory and marketing around these predictable seasonal shifts.

Grey Swans are events that are considered possible and can be anticipated to some extent, but they are rare and less predictable than white swans.

While they are not fully unexpected, their occurrence can still have significant impacts.

Example: A severe economic recession is a grey swan.

Economists and analysts know that recessions are possible and can even predict their likelihood under certain conditions, but the exact timing, severity, and triggers are harder to foresee.

Black Swans are highly unpredictable and rare events with severe consequences.

They are outside the realm of regular expectations and often seem obvious in hindsight.

Example: The 2008 global financial crisis is a black swan.

While there were warning signs, the interconnected failures of major financial institutions and the subsequent global economic meltdown were largely unforeseen and had catastrophic impacts.

Grey Rhinos are highly probable, high-impact threats that are often ignored or downplayed despite their visibility.

Unlike black swans, grey rhinos are well-known and observable, but they are frequently neglected until they become urgent crises.

Example: Climate change is a grey rhino. The science and evidence are clear about its impacts and likelihood, but comprehensive global action has been slow, and the risks are often downplayed despite being highly visible.

Differences Between the Concepts:

1. Predictability:

- White Swans: Highly predictable and expected.

- Grey Swans: Possible and somewhat predictable but rare.

- Black Swans: Highly unpredictable and rare.

- Grey Rhinos: Highly probable and visible but often ignored.

2. Impact:

- White Swans: Generally low to moderate impact, manageable.

- Grey Swans: Potentially high impact, requires preparation.

- Black Swans: Severe impact, often transformative or catastrophic.

- Grey Rhinos: High impact, significant threat if unaddressed.

3. Visibility:

- White Swans: Visible and well-understood.

- Grey Swans: Visible but less certain in occurrence.

- Black Swans: Invisible until they happen, not anticipated.

- Grey Rhinos: Visible and known but often ignored.

Understanding these concepts helps in strategic planning and risk management.

Organizations and policymakers can better prepare for and mitigate risks by recognizing and addressing white swans and grey rhinos, being aware of potential grey swans, and developing robust systems to withstand black swans.

Perspectives on Recent Global Pandemic

COVID-19, the global pandemic that disrupted lives and economies worldwide, can be analyzed through the lens of these concepts, though it doesn't fit neatly into any single category.

However, it is most commonly considered a black swan or grey rhino, depending on the perspective.

For many, COVID-19 was a black swan event. It was highly unpredictable and unprecedented in its global spread and impact.

Despite previous warnings about potential pandemics, the scale and rapidity with which COVID-19 shut down economies, overwhelmed healthcare systems, and altered daily life were largely unforeseen.

The sheer surprise and the subsequent scramble to respond exemplify characteristics of a black swan.

From another angle, COVID-19 can be seen as a grey rhino.

Public health experts had long warned of the possibility of a global pandemic, and there were clear indications from past outbreaks like SARS and MERS.

The threat was visible and well-documented, yet global preparedness and response were insufficient.

The World Health Organization and various national agencies had pointed out the vulnerabilities and the potential high impact of such a pandemic, but these warnings were not adequately heeded.

Thus, COVID-19 fits the grey rhino mold of a known, high-probability threat that was largely ignored until it became a full-blown crisis.

COVID-19 is less commonly viewed as a white swan or grey swan:

- White Swan: It doesn't fit this category because it was not a regular, predictable

event based on historical trends. Pandemics of this scale are not routine.

- Grey Swan: It could be considered a grey swan by those who believe it was a rare but somewhat foreseeable event, considering the history of pandemics and the warnings from health experts.
However, the level of predictability and the exact impact were not clear enough to most decision-makers to warrant preemptive action on the scale needed.

In a Nutshell, COVID-19 straddles the line between a black swan and a grey rhino.

While its exact emergence and the rapid global spread took many by surprise, the underlying risk was well known and documented, fitting the grey rhino profile.
The pandemic underscored the importance of heeding expert warnings and investing in preparedness for high-impact but seemingly distant threats.

Jumping Species - Zoonosis

Zoonosis, the transmission of diseases from animals to humans, has become a buzzword in the wake of COVID-19, a textbook case of such a transmission.
The virus behind the pandemic, SARS-CoV-2, likely jumped from bats to humans, possibly via an intermediary animal host.
This leap underscores the tricky nature of coronaviruses, a family of viruses known for causing everything from the common cold to deadly diseases like SARS and MERS.
What makes coronaviruses particularly prone to zoonosis is their high mutation rate and genetic diversity, which allow them to adapt to new hosts with alarming ease.

They can recombine with other viruses in animal hosts, creating new strains that can jump to humans, often with devastating effects.

The rise in zoonotic diseases isn't just a quirk of nature; it's a symptom of our increasingly interconnected and disruptive presence on this planet.
Deforestation and habitat loss push humans and wildlife into closer contact, creating a breeding ground for new diseases.
Add to that the explosive growth in global trade and travel, which turns local outbreaks into global pandemics overnight.
The wildlife trade, often illegal and unregulated, puts humans in close quarters with exotic animals carrying unknown pathogens.
Climate change, by altering ecosystems and animal behaviors, opens up new avenues for disease transmission.
Intensive farming practices and the rampant use of antibiotics in livestock also contribute to the spread of zoonotic pathogens.

In this new age of pandemics, understanding and mitigating the risks of zoonosis isn't just a public health priority—it's a survival strategy for our interconnected world.

The COVID-19 pandemic has taught us that the health of our planet and its diverse inhabitants is intricately linked to our own well-being, demanding a more sustainable and vigilant approach to our interaction with the natural world.

Rational decision making

In the intricate dance of decision-making, navigating the spectrum of certainty and uncertainty is paramount, particularly in a world awash with incomplete information.

Think of it like navigating a foggy road where known knowns are the clear signposts we can rely on – the hard data and established facts that form the bedrock of our decisions.

Then there are the unknown knowns, those overlooked truths hiding in plain sight, like biases or assumptions we haven't fully unpacked.
Recognising these can often unlock surprising insights and shift our perspective.

Now, venture into the territory of known unknowns – the acknowledged gaps in our knowledge, the risks and variables we can see but can't fully predict.

These are the dark clouds on the horizon, the potential regulatory changes, or technological disruptions that require robust scenario planning and risk management to navigate.

But the real challenge lies in grappling with unknown unknowns, the black swans of our decision-making world.
These are the unforeseeable, game-changing events that can upend even the best-laid plans, like the financial crash of 2008 or the onset of the COVID-19 pandemic.

In this complex landscape, decision-makers must cultivate a blend of foresight and flexibility.

Embracing known "knowns" to optimize and streamline operations is essential, but so is the critical introspection needed to uncover unknown knowns.

Preparing for known "unknowns" through proactive risk management is vital, yet building resilience to weather the storm of unknown unknowns is equally crucial.

This means fostering adaptable strategies, diversifying investments, and maintaining robust crisis management frameworks.

In a world where certainty is often a luxury, the ability to pivot and adapt becomes the cornerstone of effective decision-making.


Economist Samirul Ariff Othman is an international relations analyst and a senior consultant with Global Asia Consulting (GAC). He has a background as a senior researcher at the Malaysian Institute of Economic Research.

The viewpoints articulated are solely those of the author.

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