Copyright 2026 All Rights Reserved Tina Krajacic
We spend a great deal of time trying to avoid mistakes.
People try to avoid them.
Organizations design procedures to prevent them.
Machines use error correction.
Biological systems contain layers of repair and regulation.
Markets punish them.
Institutions sometimes hide them.
But perhaps a mistake by itself tells us less than we think.
The more revealing information may come afterward.
What happens when the system discovers that something is wrong?
Can it receive the correction?
Can it change course?
Does it defend the old response?
Does it correct the visible problem while leaving the underlying relationship untouched?
Does the correction restore function?
And after the correction, is the system still capable of responding to the next disturbance?
These questions led us toward a different way of thinking about resilience.
Resilience is often pictured as a return to the starting point.
A rubber band stretches and snaps back.
A person experiences hardship and “bounces back.”
A business recovers after a crisis.
But real systems carry history.
After a major event, the system may never return to exactly the state it occupied before.
And perhaps it doesn't need to.
A forest after a fire is not the forest that existed before the fire.
A person who has learned something difficult does not become the person they were before learning it.
An organization that genuinely corrects a structural problem should not simply recreate the conditions that produced the problem.
So Back to Center does not necessarily mean going backward.
Center is not a location in the past.
It is a functional relationship.
It is the ability to recognize where you are, respond appropriately to what has changed, and preserve enough flexibility to continue.
This distinction matters enormously in human systems.
Imagine two organizations that make the same serious mistake.
The first discovers the error, investigates what allowed it to happen, changes the relevant relationship or process, verifies whether the correction worked, and remains open to further evidence.
The second protects its reputation, removes the visible symptom, blames an individual, and continues operating under the same underlying conditions.
Both organizations may eventually appear stable.
But they are not equally responsive.
One has learned.
The other may simply be quiet.
That leads to an uncomfortable possibility:
The absence of visible disturbance does not always mean that a system is healthy.
Sometimes a system becomes quieter because it corrected the problem.
Sometimes it becomes quieter because it stopped listening.
Distinguishing those two possibilities is one of the central problems behind Differential Responsiveness™.
The research asks us to look beyond the mistake itself and examine the relationship between disturbance, response, correction, recovery, and future capacity.
Because perhaps the deepest measure of resilience is not whether we fall.
It is whether we remain able to learn from the fall without allowing it to determine every step that follows.
