As we write this commentary while under stay‐at‐home orders (two of us in the U.S.,
and the other in Germany), the number of individuals infected with the SARS‐CoV‐2
coronavirus has surpassed 1.6 million confirmed global cases and more than 95 000
fatalities. The pandemic continues to spread exponentially in all regions of the world.
The trajectory and ultimate outcome of this pandemic is still unfolding but we can
already be certain that the consequences to life and livelihood throughout the world
will be enormous.
We have spent much time during our careers focused on efforts to prevent catastrophic
process safety events, which are typically characterized as having both very high
impact and very low probability/frequency. There are strong parallels between prevention
of catastrophes in chemical process safety and prevention of catastrophic pandemics,
beginning with the concepts of loss of containment/loss of control of hazards.
The steps for risk analysis and risk acceptance are similar. Those analyzing risks
for either a pandemic or a process safety incident must envision/describe scenarios
related to a specific hazard(s). Risk is a function of the magnitude of the impact
and the likelihood of occurrence of the event. If the risk is deemed to be above the
risk tolerance threshold, action is required to reduce the risk. Once scenarios (cause‐consequence
pairs) are developed, planners must decide which scenarios are credible events and
further, which scenarios carry a risk. If the risk‐tolerance threshold is exceeded,
risk‐based decisions must be made to implement appropriate safeguards including both
(a) preventive safeguards to reduce the probability of a loss of containment/control
incident and (b) mitigative safeguards to reduce the consequences should loss of containment/control
occur.
The modern concept of Black Swan events was developed by Nassim Taleb in his 2007
book entitled The Black Swan, The Impact of the Highly Improbable
1
. According to Taleb, a Black Swan event has three attributes: “First, it is an outlier,
as it lies outside the realm of regular expectations, because nothing in the past
can convincingly point to its possibility. Second, it carries an extreme impact (unlike
the bird). Third, despite its outlier status, human nature makes us concoct explanations
after the fact, making it explainable and predictable.”
Application of the Black Swan concept to process safety was advanced in a 2012 article
in Process Safety Progress entitled “Beware of the Black Swan: The Limitations of
Risk Analysis for Predicting the Extreme Impact of Rare Process Safety Incidents”.
2
While there have been true Black Swan events in process safety in the history of the
chemical process industries (CPI), there have also been many severe but rare events
which were either foreseen or were predictable based on known science and experience.
These identified/predictable events do not satisfy the first of Taleb's three qualifying
criteria for a Black Swan—that nothing in the past can convincingly point to its possibility.
Since the publication of Taleb's popular book, the term Black Swan has come into much
more common usage by risk management professionals and others—perhaps to the point
of being misapplied and overused. In an award‐winning Actuarial Society presentation,
Werther acknowledged that when using current risk assessment and forecasting methods
in the financial and insurance industries, there are true Black Swan events. However,
he also asserts that some events widely perceived as Black Swans are being “wrongly
labeled”. They were in his view predictable.
3
Based on our experience in dealing with low‐frequency (rare) high‐impact scenarios
in chemical process safety, we were asked our opinion as to whether the current COVID‐19
pandemic should be classified as a Black Swan event.
Although the timing of its appearance and exact nature of this specific SARS‐CoV‐2
coronavirus had not been predicted, experts in infectious disease/public health protection
have been warning us for decades that a global pandemic involving a highly infectious
respiratory disease virus was a plausible scenario.
In 1918, near the end of World War I, an influenza pandemic struck which claimed the
lives of nearly 50 million people worldwide.
4
The virus was highly infectious, and global transmission was facilitated by movement
of large numbers of people between continents and regions (characteristics noted as
similar to the current pandemic). A global study (conducted under the auspices of
the U.S. National Academy of Medicine) was completed shortly before the 100‐year commemoration
of the 1918 pandemic.
5
The study concluded that although there are enormous uncertainties in modeling the
risks of infectious disease crises, the case for more action is compelling no matter
how the risks are calculated. Since 2015, the business thought leader and philanthropist
Bill Gates has also repeatedly made the argument for “a clear road map for a comprehensive
pandemic preparedness and response system, because lives, in numbers too great to
comprehend, depend on it.”6, 7, 8
Outbreaks of SARS (2002‐2003) the “bird flu” H5NI virus (2003‐2007), the “swine flu”
H1N1 virus (2009), MERS (2012+), and Ebola (2013‐2016) resulted in numerous studies
which identified the need for improved global risk management systems/procedures and
have recommended specific measures to rapidly detect, communicate, and control the
threat of a pandemic. Modeling studies of global economic impact have also been done
using virus pandemic scenarios with different degrees of virulence (disease severity)
and infectiousness (ease of transmission).
9
The models show significant economic impacts, driven by factors such as reduction
in global tourism, workers staying at home to avoid infection, and supply chain interruptions
as different regions are affected at different timings.
With multiple warnings from experts in epidemiology and related public health fields
that a major pandemic is not a question of if, but only of when—the current pandemic
cannot be viewed as a Black Swan. It does not meet Taleb's first criteria of “lies
outside the realm of regular expectations, because nothing in the past can convincingly
point to its possibility”. The caveat is that the pandemic is still evolving and could
take a surprise turn before it is finished. But if nothing appears which would satisfy
Taleb's first criteria, then our conclusion would remain unchanged.
The obvious next question is that if it is not a Black Swan, why was not the world
better prepared with more effective safeguards to rapidly detect/communicate and then
rapidly respond to prevent widespread loss of containment/control?
Many studies will undoubtedly be done in coming years by both national governments
and global organizations (eg, the World Health Organization
10
under the United Nations) to try to answer these questions.
We believe that common findings of these future postmortems will be that:
Experts in epidemiology/health risk analysis and economic impact analysis presented
credible risk assessments, recommended proven safeguards to implement, described appropriate
global, and regional preparedness planning/coordination approaches, and identified
critical research needs to further improve preventive and mitigative safeguards.
Experts were unable to convince final decision makers to establish the necessary public
policy and/or to allocate adequate resources to global agencies and governments/to
implement the above recommended actions and/or to sustain/maintain them.
Government leaders around the world with the power to authorize funds and to implement
strong safeguards were not convinced that the risk of another pandemic like the Influenza
pandemic of 1918 was sufficiently high to divert the required resources away from
more immediate issues those governments faced in order to address prevention and mitigation
of a pandemic, or were not convinced that the public would accept the cost of such
safeguards.
This is also a familiar dilemma in the process safety world. Convincing final decision‐makers
on the importance/urgency to address risk scenarios which have very high impact, but
which are perceived to be very low probability (infrequent events measured in once
in a lifetime+) is never easy. It requires building strong technical and economic
arguments, effectively communicating the basis for the assessment and the accuracy
of the predictions, and building the technical competence and trust in the target
audience required to process the information. This requires a great amount of preparation/effort
in order to get commitment for the necessary capital and personnel.
This effort must be made. Key decision‐makers must ensure that the voices of experts
are heard. As we have repeatedly learned in our process safety world (and appear to
be on course to similarly, and painfully, learn in the global public health world),
the cost of preventive and mitigative safeguards to address in advance a predictable
high impact event can be dwarfed by the ultimate impacts should such measures not
be taken.
Perhaps it is fitting to close with the following quote, which can be applied at both
a government level and at a corporate level.
We learn nothing from history except that we learn nothing from history.
Marcus Tullius Cicero, 106‐43 BC
We wish all of you a safe transition through this pandemic.