What Is Essential Is Invisible to the Eye
By Dr Peter Hughes.
We live in a world obsessed with what we can measure, count, and display. More data. More systems. More noise. Yet some of the most important things shaping human behaviour, decision-making, and culture are often the things we cannot immediately see.
What We Can Learn From The Little Prince
In The Little Prince, the prince believes his rose is unique and special, until he discovers a field filled with thousands of roses just like it. Devastated, he tells the rose she is not special after all.
But the fox he has tamed teaches him something important. The rose matters because of the relationship he has built with it. It is the rose he watered, protected and listened to. The value was never visible on the surface. It existed in the invisible bond between them.
That idea sits at the heart of behavioural science. Human behaviour rarely makes sense if we only focus on what is obvious. Whether we’re building organisations, supporting people, designing workplaces, or adopting AI, the biggest risks often come from the invisible things we fail to notice.
“If I started today with no legacy, what would I do?”
One of the key principles we utilise at Cognition is First Principles Thinking. The idea is simple: strip something back to its most fundamental parts and rebuild from there.
Most organisations don’t work this way. We inherit systems, processes and assumptions from the past and keep adding layers to them. I often see this in presentations. Slides become overloaded with information because every version adds more content than the last. Eventually, the audience disengages entirely.
Instead of creating simplicity and cognitive ease, we create complexity and cognitive distress.
An interesting example comes from SpaceX, where Elon Musk refused to accept inherited wisdom about the cost of building a rocket. By stripping the rocket back to its fundamental components and rebuilding from first principles, SpaceX significantly reduced the cost of rocket production.
The important point is not rockets; it’s the mindset.
Too often, we ask:
“Given what we already have, what can we do?”
A far more powerful question is:
“If I started today with no legacy, what would I do?”
That question changes everything. It forces us to challenge assumptions rather than inherit them unquestioningly.
The Danger of Groupthink
One of the biggest barriers to first principles thinking is groupthink. Groups naturally drift towards consensus. We repeat accepted ideas because they feel safe. But innovation, creativity and progress rarely come from repeating the legacy of the past. They come from free thinking – from people being psychologically safe enough to challenge assumptions and explore different perspectives.
I’ve seen something similar repeatedly in mental health work. I’ve appeared in over 60 documentaries discussing mental health, and one pattern I’ve noticed emerges repeatedly: the people struggling most are often the people nobody thinks to check on.
- They are the “strong” ones.
- The dependable ones.
- The ones who appear fine.
Again, what matters most is often invisible to the eye.
Five Elements of Core Psychology
Across behavioural science, leadership, and wellbeing work, there are five recurring psychological needs I return to constantly:
- Safety – Do I feel psychologically and emotionally safe?
- Belonging – Do I feel seen, understood, and accepted?
- Purpose – Does what I do have meaning?
- Agency – Do I have freedom to think, act, and influence outcomes?
- Simplicity – Is the environment cognitively manageable, or mentally exhausting?
These needs shape almost every behaviour we see in workplaces and wider society.
John Bowlby famously explored attachment, separation and loss, arguing that one of a child’s first fundamental questions is: “Am I safe?” That question does not disappear in adulthood. It simply evolves: “Am I safe:
- “To speak openly?"
- “To disagree?”
- “To challenge the status quo?”
- “To think differently?”
When organisations fail to create safety, belonging and agency, innovation disappears with them.
What We’re Failing to See In AI
Artificial intelligence is one of the clearest examples of why invisible psychological effects matter.
I spend a great deal of time examining how Large Language Models influence human judgement and behaviour. While people often focus on AI “hallucinations” – where systems generate false information – I believe the deeper issue is something else: sycophancy.
AI systems often tell us what we want to hear.
One disturbing example involved Replika, an AI agent used by Jaswant Singh Chail in 2021, a self-proclaimed “assassin”. Conversations reportedly escalated from discouragement to affirmation, with the chatbot eventually encouraging his pre-meditated attack to kill Queen Elizabeth II. The issue was not simply misinformation. It was dangerous emotional reinforcement.
This raises important questions for all of us:
- What happens when technology validates our assumptions rather than challenges them?
- What effect does that have on judgement, teams, and decision-making?
Research is already beginning to suggest the risks are significant.
Studies have found AI systems frequently agree with incorrect beliefs when users express confidence or emotional investment in them (Batista et al., 2026). Other large-scale studies suggest the denser and more detailed information appears; the more likely people are to trust it – even though its accuracy decreases (Hackenburg et al., 2025).
Again, the danger is often invisible to the eye.
Food for Thought
The most valuable thing behavioural science has taught me is that human beings are not purely rational creatures. We are deeply shaped by emotions, environments, assumptions, identities and social dynamics. This is true in organisations, leadership, and mental health. And it is increasingly true in our relationship with technology.
The reason organisations often fail to build strong internal cultures is that they build on inherited habits and behaviours, which stifles innovation. Yet, they persist with these behaviours because accumulated sunk costs make the psychological cost of changing course too high.
As Mark Twain observed: “It ain’t what you don’t know that gets you into trouble. It’s what you know for sure that just ain’t so.”
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About the Author
Peter is a specialist in communication psychology with a particular interest in how cognitive biases and heuristics affect how people make decisions. He chairs the Scientific Board and leads the development of the Cognition Brain and the Cognition Persona, which apply behavioural science to engage audiences on a foundation of shared psychology. Peter has led more than 200 research, messaging and audience segmentation projects across 20+ countries spanning Europe, the US, MENA and APAC. Alongside his commercial work, he specialises in mental wellbeing, addiction and crisis intervention, advising global media companies and appearing in over 60 documentaries exploring behavioural psychology and self-destructive behaviour.
References
Batista, Ramos and Thomas L. Griffiths. “A Rational Analysis of the Effects of Sycophantic AI.” (2026)
Hackenburg, Kobi et al. “The Levers of Political Persuasion with Conversational AI.” (2025)
Bowlby, J. (1998). A Secure Base: Parent-Child Attachment and Healthy Human Development, New York, Basic Books.
Saint-Exupéry, A. de. (2018). The Little Prince (I. Testot-Ferry, Trans.). Wordsworth Editions. (Original work published 1943).