Navigating uncertainty and misinformation: how to think clearly when everything feels unstable
In brief: This article explores how uncertainty and misinformation are reshaping how we understand the present, and why sensemaking has become a critical capability. It proposes a practical framework based on clarity, decision, and stability to help individuals and organisations navigate complexity without becoming overwhelmed.
In recent weeks, many conversations, whether in workshops, with colleagues, or with organisational leaders, have returned to the same underlying difficulty. People are following what is happening in the world, from the war involving Iran to increasing climate-related disasters, economic pressures, and rapid developments in artificial intelligence. Yet despite this attention, there is often a sense of not being able to fully make sense of it.
The challenge is no longer simply that the future feels uncertain. It is that the present itself has become harder to interpret, leading to anxiety and feelings of overwhelm.
Part of this comes from the nature of the events themselves. Complex systems are interacting in ways that are difficult to track, and developments in one domain quickly affect others. At the same time, the information environment surrounding these events has changed. Misleading and fabricated content circulates widely, often amplified by artificial intelligence and coordinated campaigns, while even accurate reporting is frequently contested or reframed.
The result is an environment in which uncertainty and misinformation are intertwined, making it harder to form a stable understanding of what is happening.
This raises a practical question: how do individuals and organisations develop enough clarity to act in such conditions?
When information becomes noise
A common assumption is that more information leads to better understanding. In the current environment, this relationship no longer holds in a straightforward way.
Digital platforms provide continuous access to news and analysis, while amplifying content that captures attention rather than accuracy. Reliable information, partial truths, speculation, and misleading narratives circulate together, often indistinguishable at first glance.
Periods of uncertainty intensify this dynamic. When clear answers are not available, simplified explanations and speculation tend to fill the gap. Exposure to conflicting or unreliable information then increases uncertainty rather than reducing it. People find themselves unsure not only about what might happen next, but about what is already happening.
Recent conflicts, including the war involving Iran, have illustrated this clearly. AI-generated images, recycled footage, and fabricated videos have reached large audiences before verification is possible. Even when corrected, their initial impact shapes perception.
The challenge is therefore no longer access to information, but the ability to distinguish signal from noise while maintaining clarity of judgement.
The limits of prediction
In response to uncertainty, there is often a turn toward prediction. Analysts attempt to forecast geopolitical developments, economic trends, or technological impacts.
While such efforts can be useful, complex systems are inherently difficult to predict. Small changes can produce disproportionate effects, and interacting dynamics can shift outcomes in unexpected ways.
How then can individuals and organisations build the confidence to operate in conditions where clarity is often partial and evolving?
If uncertainty and misinformation are structural features of the current environment, then the answer becomes less about prediction and more about adapting and building resilience. The implication is straightforward: the critical capability is not prediction, but the ability to interpret evolving situations with sufficient clarity to act and adapt.
Sensemaking as a core discipline
This is where sensemaking becomes essential.
While there is no universally agreed definition of sensemaking, it is widely understood as a process that helps people interpret and navigate ambiguous or complex situations.
Sensemaking is not abstract, but a structured way of interpreting complex environments in order to act within them. It involves questioning sources, recognising patterns, and placing events within a broader context.
Sensemaking is also inherently social. We do not interpret events in isolation, but through conversations, shared narratives, and collective reflection. This is why teams, communities, and trusted relationships play such a critical role in maintaining clarity in uncertain environments.
But it’s worth noting that sensemaking is not something that happens before action. In many cases, we act with partial understanding, and only afterwards develop a clearer interpretation of what has happened.
In practice, the quality of sensemaking depends on three interrelated capabilities: clarity, decision, and stability. These are not separate from sensemaking itself, but the conditions that allow it to function effectively in complex and uncertain environments.
Navigating uncertainty in practice: three core capabilities
1. Clarity: engaging with information deliberately
Clarity does not come from consuming more information, but from engaging more selectively. This begins with recognising that not all information is equally useful. In high-noise environments, limiting exposure and focusing on a smaller number of reliable sources improves clarity, as does distinguishing between facts, interpretation, and speculation.
For example, this may involve checking news once or twice a day rather than continuously, relying on a few trusted outlets instead of multiple fragmented feeds, or pausing before sharing information that has not been verified.
It also requires explicitly acknowledging uncertainty. Rather than seeking definitive answers where none exist, it is more useful to distinguish between what is known, what is uncertain, and what is being monitored. Not knowing is not a failure, but a natural aspect of engaging with complex systems. What makes it more difficult today is the expectation, reinforced by continuous information flow, that clarity should always be available. In practical terms, this also means accepting that it is sometimes appropriate not to have a fully formed opinion.
For organisations,clarity is also collective. Regularly clarifying what is known, what remains uncertain, and what is being monitored helps reduce confusion and align teams.
2. Decision: acting without complete certainty
Uncertainty cannot be eliminated, and not all risks can be anticipated.
Risk management remains useful for identifying known vulnerabilities, dependencies and exposure to external shocks. However, it is inherently limited to what can be reasonably foreseen. Not all uncertainty can be reduced to predefined risks, and over-reliance on formal frameworks can create an illusion of control.
A more effective approach is to combine risk management with resilience and adaptability. While risk management helps prepare for what can be anticipated, adaptability enables organisations to adjust when conditions shift in unexpected ways, and resilience supports their ability to continue operating under strain.
In practice, this means developing the capacity to adjust plans as conditions evolve, maintaining core functions despite disruption, and making decisions with incomplete information. This can include exploring a small number of plausible scenarios, understanding dependencies on external systems such as supply chains or energy, and ensuring that key processes remain functional even when clarity is partial. At a practical level, it may be as simple as asking: what would we do differently if costs increased sharply, if supply was disrupted, or if conditions changed quickly?
Effective leadership in this context is less about prediction and more about adaptation and maintaining direction under uncertainty.
3. Stability: sustaining attention, judgement, and local resilience
Navigating uncertainty requires sustained cognitive and emotional effort. Without deliberate recovery, attention fragments and judgement deteriorates.
Maintaining stability therefore depends on simple practices, such as stepping back from constant information flows, discussing events with trusted peers, or spending time in environments that support reflection, such as walking in nature. It can also involve creating small routines that support cognitive and emotional recovery, whether through physical activity, limiting exposure to digital platforms, maintaining regular sleep, or setting aside uninterrupted time to mentally process what is happening. Caring for one’s emotions is underrated, but essential. In fast-moving situations, the pressure to react can undermine understanding, while deliberate pauses often lead to better decisions.
At a broader level, stability is also built locally. Maintaining relationships within your teams and community, knowing your colleagues and neighbours, or having basic preparedness measures in place such as preparing for power outages, communication breakdowns or food shortages, are simple ways to regain agency by strengthening your capacity to respond when disruptions occur. These actions may appear modest, yet they become critical when larger systems are under strain.
Together, these three capabilities create the conditions for navigating uncertainty without becoming overwhelmed.
Living with uncertainty
Uncertainty about the near future is unlikely to disappear. Geopolitical tensions, climate impacts, economic pressures, and technological developments are interacting in ways that are difficult to predict.
At the same time, the information environment is becoming more complex. Advances in artificial intelligence are making it easier to generate convincing but misleading content, while digital platforms continue to amplify narratives that capture attention rather than those that support understanding.
In this context, the idea is not to eliminate uncertainty or to find perfect information but to develop the capacity to navigate complexity with clarity and judgement.
Confidence in uncertain times does not come from knowing exactly what will happen, but from practising sensemaking: maintaining clarity in how we interpret information, judgement in how we act, and stability in how we sustain ourselves and those around us. Practised collectively, within teams, households, or communities, this approach becomes even more effective, as shared reflection and dialogue help anchor understanding and reduce the burden of making sense of complexity alone.
A question that may be now worth considering is this: what actions can you realistically take, in your own contexts, to reduce uncertainty and improve the quality of the information you rely on?