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Why Do Those Without Responsibility Suffer?
What “The Price of Freedom” Fails to Explain
We have a familiar explanation for evil:
“Because humans have free will.”
“Because someone chose it.”But this language always belongs
to the perpetrator — not the victim.Because in reality, much suffering falls
not on those who made choices,
but on those who did not.Child abuse, war, poverty, violence, neglect, exploitation —
these are not the victims’ choices.
They were simply inside a structure.The phrase “the price of freedom”
explains nothing about unjust suffering.
God Cannot Be Unaware of This Structure
Faith now enters an uncomfortable zone.
If God is omnipotent,
He knows who the perpetrators are,
who the victims are,
and who bears responsibility.And yet the structure is not dismantled immediately.
This is not indifference.
Scripture calls this state the delay of justice.The present world is not the courtroom where justice is executed —
it is the courtroom where evidence is collected.
We Are Living in the Time of an Unfinished Trial
Scripture repeatedly says:
“Vengeance is mine; you shall not repay.”
This is not merely moral advice.
It is closer to a legal declaration:“This case is still under trial.”
“The verdict has not yet been issued.”So in reality, perpetrators appear unpunished,
and victims appear unprotected.But in the biblical view, this is not a world without justice —
it is a world where justice is deferred.
The Wronged Are Not Abandoned — They Are Pending Cases
This sentence is uncomfortable.
In the present world,
the wronged are not restored.
They remain without compensation, recovery, or explanation.But faith does not see them as abandoned persons.
It sees them as parties in cases
whose verdict has not yet been issued.Their suffering is not forgotten —
it is recorded as unresolved evidence.
Justice Begins When This World Ends
The harshest sentence of Christian faith is this:
Justice is not completed in this world.
Justice begins when this world ends.This world is not a system of healing —
it is a structure preparing for judgment.And so this faith does not offer
instant comfort,
but the architecture of responsibility
that remains to the end.
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Why Humans Can Be Predicted, But Not Reproduced
We Have Obtained Humanity’s “Blueprint”
After the Human Genome Sequencing Project,
we obtained the three billion genomic data points of the human being.Humans are no longer mysterious beings.
Disease risks, constitutions, drug responses, and even probabilities of certain traits
can now be numerically predicted.So we naturally began to believe:
If we know enough about humans,
someday we will be able to “reproduce” them.But this belief contains a fatal misunderstanding.
The Genome Is Not an “Operating Human,” but a Parts Catalog
The genome is a catalog of the components that make up a human being:
which genes exist,
which proteins they produce,
which diseases they are statistically linked to.But this is only a schematic.
A schematic is not a machine.Just as having a car’s parts catalog does not allow you
to reproduce exactly how the engine vibrates, heats up, and wears down,
we have learned the materials of humans—
but not how humans actually live and move.
Humans Become Human Only Within Fields of Relationship
Humans do not operate like this:
Gene → Outcome
Humans always exist as the product of:
Gene × upbringing × attachment × stress × culture × chance × relationships × time
Humans are not machines explained by a single cause,
but nonlinear dynamic systems continuously transformed within relationships and time.Humans do not exist as isolated individuals.
They become human only with someone, in some environment, within some history.
That Is Why We Predict, But We Do Not Generate
Our current systems are good at:
risk group classification,
vulnerability prediction,
average response estimation,
statistical behavior modeling.But they cannot do this:
determine what life trajectory a single human will form,
what structures of meaning will arise within which relationships,
how a person will be transformed by which events.We can score humans,
but we cannot generate them.
The More Precise the Data, the More Humans Are Misunderstood
Ironically,
the more precise our measurement technologies become,
the more inaccurately humans are understood.Because systems cut people out
as “individuals separated from relationships.”But humans are always living events that exist only within relationships.
What we are missing is not information—
it is the place where humans actually live:
the field of time and relationships.
This Is Not a Technological Limit, but an Error in Understanding Humans
The problem is not insufficient technology.
The problem is that we have begun to misunderstand humans
as “static bundles of parts” rather than “living relational events.”The post-genome world pretends to understand humans,
while discarding the place where humans actually live—
the field of relationships and time.So we are calculating with increasing precision,
and at the same time, losing humans more and more.
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Why Do We Ask AI So Quickly?
Questions Always Come First
These days, the moment curiosity arises, we almost automatically open AI.
Before opening a search bar, before thinking, we ask.“What is this?”
“Is this correct?”
“Why is that?”The answers are fast, the explanations are kind, and the structures are already complete.
In that moment, we feel as if we have become smarter.
Yet strangely, almost nothing remains in our minds afterward.
A Society That Receives Answers First
For a long time, we have called
“a society where correct answers appear quickly” progress.Fast search, automatic recommendations, instant explanations.
When a problem appears
→ a solution is delivered immediately.This is certainly convenient.
But at the same time, it is quietly reshaping human thinking habits.We no longer stay with problems.
Rather than thinking, we receive structures.
Rather than interpreting, we download conclusions.Thinking is no longer generated.
It is downloaded.
Thinking Is a “Muscle”
Thinking is closer to a muscle than to knowledge.
If you don’t use it, it weakens.
If you outsource it, it atrophies.In mathematics education,
there is a reason we are told, “Don’t look at the solution right away.”
The time spent enduring the problem,
the time staying with not knowing the answer,
builds thinking muscle.This principle does not change in the AI era.
The habit of immediately asking AI
becomes training in outsourcing one’s capacity to generate thought
in exchange for convenience.
Why Do We Ask So Quickly?
We do not actually want to become smarter.
We want to become less anxious.The state of not knowing,
the state of having no conclusion,
the time spent with unresolved questions
is uncomfortable.AI erases that discomfort instantly.
So we gradually become
people who ask before thinking.
AI Can Replace Thinking — But It Cannot Form It
AI can provide structure.
But it cannot form thinking.Thinking is shaped
through being wrong, getting stuck, wandering, and detouring.
When that process is skipped,
we remain not as “those who understood,”
but as “those who were explained to.”
What We Need Is “One Delay”
This is not an argument against using AI.
It is a proposal to change the order.Curiosity arises →
stay alone briefly →
form one hypothesis →
then ask AI.This short delay
is the minimal muscle exercise that protects thinking.
What Will We Protect?
The problem of the AI era
is not a lack of information,
but the outsourcing of thought.We gain more and more answers,
but think less and less.So the question must change:
Not, “Will AI solve this for me?”
but, “Have I first stood before this problem myself?”AI is strongest
not when it replaces thinking,
but when it amplifies it.And that power depends on
how much we thought first, on our own.
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