Most supply chain professionals I know are comfortable with risk management as a concept but deeply uncomfortable with its implications. We build risk matrices. We categorize suppliers by criticality. We run scenario plans and stress tests. And then a pandemic shuts down global shipping, and we discover that our beautifully documented risk register was largely decorative.
Most supply chain disruptions are not Black Swans. They are Black Elephants: known risks that were simply more convenient to ignore than to address.
The problem is not that we fail to identify risks. It is that we consistently underestimate the ones that do not fit our mental models, and we systematically ignore the ones that feel too large or too unlikely to plan for. There is a useful framework for thinking about this, built around three animals that are all, for different reasons, black.
The Menagerie
Researchers Zhakata Sardar and John Sweeney proposed a taxonomy of disruptive events that I have found more useful than most formal risk frameworks, precisely because it forces you to be honest about the limits of your own foresight.
Black Swans are Nassim Taleb\u2019s famous concept: events that are genuinely unpredictable, that nobody saw coming, and that reshape the landscape after they arrive. The rise of the internet. September 11th. The specific mechanism of how these events unfold is unknowable in advance. You cannot plan for a Black Swan because by definition you cannot imagine it.
Black Elephants are more interesting, and more damning. A Black Elephant is a risk that experts have been warning about for years, that the data clearly supports, and that organizations collectively choose to ignore because addressing it would be expensive, politically difficult, or simply uncomfortable. Pandemics were a Black Elephant. Climate disruption to supply chains is a Black Elephant. Everyone who studies these topics has been raising the alarm. The information is not missing. The willingness to act on it is.
Black Jellyfish are risks we understand in principle but whose cascading effects are impossible to predict. We know that AI will transform supply chains, but we do not know how, or which specific disruptions will follow. We know that geopolitical tensions affect trade routes, but we cannot model the second and third-order effects of a specific escalation. The risk is visible but the consequence chain is opaque.
Why We Ignore What We Know
The uncomfortable truth is that most supply chain disruptions are not Black Swans at all. They are Black Elephants: known risks that were simply more convenient to ignore than to address. The supplier in a politically unstable region that everyone knew was a single point of failure. The lack of safety stock for a critical component because the carrying cost was unpopular in a quarterly review. The absence of a backup logistics route because “it has always worked.”
Organizations ignore these risks for structural reasons. The person who raises an unlikely but catastrophic risk is usually the least popular person in the meeting. The cost of mitigation is certain and immediate. The cost of the risk is uncertain and future. In any quarterly planning cycle, the certain cost loses. The risk stays unaddressed. Until it does not.
The Tenth Man
There is a concept from intelligence analysis called the Tenth Man Rule: if nine people in a room agree on a conclusion, it is the duty of the tenth person to disagree and explore the alternative, no matter how unlikely it seems. The rule exists because consensus is dangerous. Groups are naturally drawn toward agreement, and the more unanimous the agreement, the less likely anyone is to challenge it.
In supply chain management, the Tenth Man is the person who asks: what if our main supplier goes offline tomorrow? What if this trade route closes? What if demand drops 40% in a quarter? These are not paranoid questions. They are the questions that, answered in advance, turn a crisis into an inconvenience.
I think about this at a much smaller scale now. At FIKA B\u2019LORE, our supply chain is simple, but the risks are real. What if our flour supplier has a quality issue? What if the delivery vehicle breaks down on a Friday morning? What if three WhatsApp communities all order double in the same week? None of these are Black Swans. They are ordinary operational risks. But the discipline of asking the question before it happens is the same whether you are managing a global packaging supply chain or a bakery that delivers cardamom buns across Bangalore.
Flexibility Over Prediction
The real lesson from the black menagerie is not that we need better prediction. It is that we need less reliance on prediction altogether. The organizations that navigate disruptions well are not the ones that saw the disruption coming. They are the ones that built enough flexibility and robustness into their operations to absorb shocks they did not predict.
There is a Swedish expression: ju mer man planerar med tillr\u00e4ckligt mycket flexibilitet f\u00f6r det ok\u00e4nda, desto st\u00f6rre chans att ha tur. The more you build flexibility for the unknown into your plans, the luckier you tend to get. Luck, in supply chain as in life, is mostly preparation meeting circumstances you could not have specified in advance.
So listen to your devil\u2019s advocates. Understand your value chain deeply enough that you can improvise when the plan breaks. Build robustness where the cost of failure is high and flexibility where the future is uncertain. And designate someone, in every important conversation, to be the Tenth Man. The cost of that role is a few uncomfortable questions. The cost of not having it is discovering the answers too late.