There is no evil
There are acts so harmful that we reach for a word bigger than ordinary failure.
Evil.
It is a word that feels like protection. It draws a boundary. It tells us: this was not normal, not acceptable, not human in the usual sense. Something crossed a line, and the line matters.
I understand why we use it.
But I do not think evil explains very much.
Most of the time, evil is the name we give to behaviour after we have stopped asking what produced it.
That does not mean harm is unreal. It does not mean cruelty is acceptable. It does not mean people should be allowed to damage others without consequence. A world without accountability is not a humane world. It is just another unsafe one.
But accountability and explanation are not enemies.
We often act as if they are. We worry that if we understand the conditions that produced harm, we will somehow excuse the harm itself. So we protect morality by refusing curiosity. We treat explanation as betrayal.
But this is backwards.
If harm has causes, then understanding those causes is not indulgence. It is prevention.
What inputs made this output possible?
To call a person evil is to place the source of harm inside the person as an essence. It says: this is what they are. It ends the investigation at the skin.
The Human Algorithm asks a different question.
What inputs made this output possible?
That question can sound cold if heard too quickly. It is not meant to be. It is not a machine's question. It is a human one.
Every person is shaped by conditions: fear, shame, hunger, humiliation, reward, trauma, ideology, belonging, status, sensory load, family systems, economic pressure, institutions, language, punishment, permission, and the stories they were given about who counts and who does not.
None of this removes responsibility.
It relocates it.
If a harmful act emerges from a pattern, then responsibility belongs not only at the final moment of action, but throughout the architecture that made that action more likely.
We are comfortable punishing the final output. We are much less comfortable examining the system that kept feeding the inputs.
Why "evil" is useful to power
It individualises harm.
It lets institutions say: the problem was the bad person, the rotten apple, the monster, the exception. Remove them and the system is clean again.
But systems produce patterns. And when the same kinds of harm keep appearing across families, schools, workplaces, prisons, bureaucracies, churches, markets, governments, and online spaces, we should be suspicious of explanations that end with one defective soul.
A collapsed bridge is not explained by the moral failure of the people crossing it.
We examine the design.
Human systems deserve the same seriousness.
Good from inside damaged maps
This does not mean every person is secretly good in the sentimental sense. It means every person is acting from some internal model of good, survival, order, loyalty, relief, protection, justice, status, revenge, control, or necessity.
A person may do terrible harm because they believe they are defending their family.
A person may humiliate others because shame is the only language of authority they were taught.
A person may support a cruel policy because it protects their sense of order.
A person may punish a child because they think compliance is safety.
A person may hoard wealth because scarcity still lives inside them.
A person may become violent because domination is the only form of agency they recognise.
A person may participate in a harmful institution because the institution has taught them that procedure is morality.
From the outside, these acts may be cruel, selfish, cowardly, or destructive.
From the inside, they may feel like good.
That is the uncomfortable part.
Everyone is moving toward some version of good. But the good they are moving toward may be narrow, frightened, inherited, distorted, or built on the exclusion of others.
The problem is not that people do evil instead of good. The problem is that people do good from inside damaged maps.
Harder questions than "who is evil?"
This matters because punishment alone rarely redraws the map.
It may be necessary. It may protect others. It may mark the seriousness of the harm. But punishment is not the same as understanding, and it is not the same as repair.
If we want less harm, we have to become more interested in conditions.
What made cruelty feel reasonable?
What made domination feel safe?
What made indifference feel normal?
What made obedience feel virtuous?
What made care feel optional?
What made another person's suffering disappear from view?
These are harder questions than "who is evil?"
They are also more useful.
The word evil gives us emotional clarity. Sometimes we need that. There are moments when moral language must be blunt, especially in the presence of serious harm.
But if we stop there, we learn almost nothing.
We may identify the person who caused the damage, but not the architecture that trained, rewarded, excused, or permitted it.
More serious, not softer
The Human Algorithm does not ask us to become softer on harm.
It asks us to become more serious about it.
Serious enough to protect people.
Serious enough to hold responsibility.
Serious enough to refuse easy myths.
Serious enough to keep asking what kind of world keeps producing the outcomes we claim to despise.
There may be no evil.
But there is harm.
There is cruelty.
There is neglect.
There is fear.
There is architecture.
And if there is architecture, then there is responsibility.
Not just at the point of impact.
Upstream.
Filed under Justice & Responsibility · Back to Field Notes