Disinformation did not begin with social media. By looking at how deception, signalling, and mimicry work in nature, we can better understand why misleading information spreads – and how to respond without panic. (10–12 minute read)
Why read this essay?
- Reframe disinformation as a natural, adaptive behaviour rather than a uniquely modern or
- moral failure.
- Understand why misleading signals persist even in otherwise healthy systems.
- Learn how insights from nature can help you recognise disinformation patterns without
- paranoia or cynicism.
What do we mean by ‘disinformation’ here?
Disinformation is often defined as false information spread deliberately to mislead. That definition is useful, but incomplete.
In this essay, disinformation refers more broadly to information behaviours that exploit attention, signalling, and trust mechanisms. These behaviours may involve falsehoods, exaggeration, imitation, or selective framing. They do not always require malicious intent.
Importantly, this broader framing does not deny the existence of coordinated or deliberate disinformation campaigns. It explains why similar effects arise even in their absence.
Deception is older than the internet
Long before human media existed, living systems evolved ways to mislead. Camouflage allows animals to hide in plain sight. Mimicry enables harmless species to resemble dangerous ones. Some animals emit false alarm calls to scatter rivals and gain advantage.
These behaviours are not moral failures. They are adaptive strategies shaped by survival pressures. When deception improves outcomes under specific conditions, it tends to persist.
Signals, mimicry, and the limits of trust
In nature, signals are useful only if they are generally reliable. If every warning call were false, animals would quickly learn to ignore them. Systems therefore tolerate a limited amount of deception, but degrade when it becomes too common.
When trust collapses, coordination fails. Real threats are missed, and meaningful signals are drowned out. This balance between signal and deception is fragile, and it matters.
Why speed often beats accuracy
From an evolutionary perspective, perfect accuracy is not always the priority. Speed often matters more. Responding quickly to a possible threat can be safer than waiting for full confirmation.
This does not mean truth is unimportant. It means systems evolve to trade precision for speed under pressure. Some false alarms are tolerated because the cost of missing a real signal is higher. Misleading signals are therefore an expected side-effect, not a flaw.
From animal behaviour to information environments
Human information systems operate under similar constraints. Attention is limited. Signals compete. Messages that trigger fast responses spread more easily than those requiring slow evaluation.
While humans can reflect and reason in ways animals cannot, the environments we operate in still exert pressure. Disinformation thrives not because systems want it to, but because it exploits the same dynamics that reward speed, clarity, and emotional salience.
Pattern-level warning signs
An ecological lens shifts attention away from individual claims and towards changes over time. Warning signs include increasing urgency, repeated imitation of familiar formats, and a narrowing range of perspectives.
When these patterns intensify, signal quality drops and trust erodes, just as it does in natural systems overwhelmed by false alarms or mimicry.
Practical checks inspired by nature
These questions act as ecological checks rather than fact-checks:
- Is this signal costly to fake, or cheap to imitate?
- Does this information spread faster than it can reasonably be checked?
- Does it rely on urgency or fear to trigger action?
- Who benefits from scattered attention – even if no one intended that outcome?
So what …?
Disinformation is not an anomaly to be eliminated, but a pattern to be managed. By recognising mimicry, urgency, and noise as environmental signals, individuals regain leverage. Pattern recognition creates the space to pause, reflect, and choose deliberately, rather than reacting by default.
References
Dawkins, R., & Krebs, J. R. (1978). Animal signals: information or manipulation? Behavioural Ecology.
Maynard Smith, J., & Harper, D. (2003). Animal Signals. Oxford University Press.
Searcy, W. A., & Nowicki, S. (2005). The Evolution of Animal Communication. Princeton University Press.
Lazer, D. et al. (2018). The science of fake news. Science.