Reality as data
Reality Is Made of Data if Relative Access to Compute Is a Fundamental Human Right
Introduction
Modern societies increasingly interpret reality through data.
Economic systems, legal institutions, scientific research, and public administration now rely heavily on informational representations of the world. Observations are recorded as datasets, analysed through computational models, and translated into decisions that shape the lives of individuals and communities.
This development raises a philosophical and political question that has not yet been fully confronted:
If reality is increasingly interpreted through data, and if decisions increasingly depend on computation applied to that data, should access to computation itself be considered a dimension of justice?
This essay argues that intelligence as relative access to computational interpretation (the capacity to analyse and understand data) may be emerging as a fundamental condition for justice in informational societies.
1. The Datafied Representation of Reality
Human societies have always interpreted reality through representations.
Maps represent geography.
Language represents events.
Scientific models represent natural phenomena.
Today, data has become the dominant representational medium through which complex systems are interpreted.
Medical records represent health.
Financial databases represent economic behaviour.
Environmental sensors represent ecological conditions.
Digital platforms represent social interaction.
In practical terms, much of the reality that institutions act upon now exists as data representations.
This does not mean that reality itself is reducible to data in a metaphysical sense. Instead, it means that the operational reality through which institutions make decisions is fundamentally informational.
2. The Compute Layer
Data alone does not produce meaning.
Meaning arises through interpretation. In contemporary societies, that interpretation increasingly occurs through computational systems:
statistical models
machine learning systems
predictive algorithms
simulation environments.
These systems perform what can be described as contextual inference: identifying patterns and relationships within complex informational structures.
Computation therefore functions as a lens through which data becomes meaningful.
If data represents reality, computation interprets it.
3. Interpretive Power
This creates a new form of power.
Historically, power has often derived from control over:
land
labour
capital
institutions.
In informational societies, power increasingly derives from control over interpretive capacity.
Those who possess advanced computational tools can:
analyse complex systems
identify hidden patterns
predict behaviour
shape decision frameworks.
In other words, they can interpret reality at a higher resolution.
When this interpretive capacity becomes concentrated, a small number of actors gain disproportionate influence over how reality is understood.
4. Epistemic Asymmetry
This concentration produces what can be called epistemic asymmetry.
Epistemic asymmetry occurs when some actors possess far greater ability to interpret informational representations of reality than others.
In such conditions:
institutions can model individuals in detail
corporations can predict behaviour
governments can analyse populations.
Meanwhile individuals often lack the computational tools needed to understand the informational systems governing them.
The result is a widening gap between those who interpret reality and those who are interpreted by it.
5. The Accessibility Principle
Dot Theory proposes that justice partly depends on the epistemic conditions under which decisions are made.
Individuals interpret and evaluate decisions through the information available to them. If the informational environment is heavily asymmetric, the ability to contest or understand those decisions is weakened.
From this perspective, fairness requires more than access to data alone.
It requires access to the computational means necessary to interpret that data.
Data without computation is often unintelligible.
6. Compute as a Condition of Agency
If computation is necessary to interpret complex informational environments, then access to computation becomes a condition of meaningful agency.
Without computational tools, individuals may struggle to:
analyse large datasets
detect algorithmic bias
evaluate predictive models
understand systemic risks.
Relative access to computation therefore affects the capacity to understand and challenge institutional decisions.
This is not a claim that everyone must possess identical computational power. Instead, it suggests that societies should avoid structural conditions in which interpretive capacity is monopolised.
7. Compute as an Emerging Right
Human rights historically emerged when societies recognised that certain conditions were necessary for meaningful participation in collective life.
Examples include:
legal equality
education
freedom of expression.
In informational societies, the ability to interpret data may become similarly important.
If justice partly depends on the capacity to understand informational systems, then relative access to computational interpretation becomes a dimension of justice.
This suggests a new principle:
Individuals should possess meaningful access to computational tools sufficient to interpret informational representations affecting their lives.
8. The Asymptotic Path
The goal of such access is not perfect knowledge.
Human understanding is always incomplete. Interpretations remain fallible and subject to revision.
But improved epistemic conditions allow societies to reduce interpretive error over time.
As understanding improves, error decreases.
As error decreases, justice improves.
As justice improves, societies approach more stable forms of peace.
This is the asymptotic logic underlying Dot Theory.
Conclusion
Modern societies increasingly operate through informational representations of reality interpreted by computational systems.
When access to those interpretive systems becomes highly concentrated, epistemic asymmetries emerge that can undermine the fairness of decisions affecting individuals.
Recognising this does not require claiming that reality itself is literally made of data.
It requires recognising that the operational reality through which institutions act is informational.
In such societies, justice may depend not only on rights and institutions, but also on the distribution of interpretive capacity.
Relative access to computation may therefore represent one of the defining political questions of the informational age.
At a time where it needs to be said; Peace grows where understanding improves.
Thank you for your time,
Stefaan
