In interconnected living systems, the information we need most often hides in the complexity we are prone to avoid.
For decades, forest scientists asked logical questions. “What nutrients does this tree need?” “What’s causing this disease?” “How do we maximize growth in this stand?”
They measured. They tested. They developed interventions. They found answers to countless questions. Yet forests kept behaving in ways the models didn’t predict.
But some researchers, like Suzanne Simard, were asking a different kind of question.
Instead of asking “What’s wrong with this tree?” or “What intervention will fix this problem?”, they asked: “What relationships am I not seeing?”
That shift – from examining isolated parts to observing patterns of connection – revealed new perspectives and new solutions. The forest that became visible through relational questions looked completely different than the forest isolated questions could see.
The trees hadn’t changed. The questions had.
“What causes this?” works beautifully when one thing leads to another in a straight line.
But living systems – forests, brains, children, teams, communities – don’t work that way. They work through networks of relationships where everything affects everything else, where context determines outcomes, and where the whole creates properties that don’t exist in any single part.
The cost of asking the wrong questions isn’t just getting incomplete answers. It’s that those answers obscure the actual patterns that would help us understand.
If we’re searching for THE cause, we miss how multiple factors create patterns through their interactions.
In complex living systems, the question isn’t “What’s the solution?” It’s: “What patterns am I missing?”
Not: “What technique fixes this?”
But: “What conditions support what we want to emerge?”
Not: “Why doesn’t this work consistently?”
But: “What’s different about the context right now?”
This isn’t just semantics. Different questions reveal different information. And in complex systems, the information we need most often hides in the complexity we are prone to avoid. In the patterns of relationships we can’t see when we’re only looking at isolated parts.
The forest didn’t need scientists to have all the answers. It needed them to ask questions that could reveal what was already there.
What questions might we be missing about the complex systems in our own lives?