Almost a decade in the making, this book explains why more time, more effort, and more detail do not reliably improve certain forms of communication. Beyond a point, returns diminish sharply. In some domains, they collapse altogether.
The manuscript focuses on English, but the hypothesis has already been extended to French (published separately), and I am continuing work on other ontological barriers. If you’re interested in testing or extending the framework in your own language, feel free to get in touch.
Over the coming weeks, I’ll be unpacking aspects of the Language Insufficiency Hypothesis in more depth here. The book’s role is deliberately limited: it defines the problem, establishes the structure, and offers grounding examples. The real work happens in the consequences.
For now, the important thing is simple: the book is finally available.
Fairness, Commensurability, and the Quiet Violence of Comparison
Fairness and Commensurability as Preconditions of Retributive Justice
This is the final part of a 3-part series. Read parts 1 and 2 for a fuller context.
Audio: NotebookLM summary podcast of this topic.
Before the Cards Are Dealt
Two people invoke fairness. They mean opposite things. Both are sincere. Neither can prove the other wrong. This is not a failure of argument. It is fairness working exactly as designed.
Before justice can weigh anything, it must first decide that the things being weighed belong on the same scale. That single move – the assertion that comparison is even possible – quietly does most of the work.
Most people think justice begins at sentencing, or evidence, or procedure. But the real work happens earlier, in a space so normalised it has become invisible. Before any evaluation occurs, the system must install the infrastructure that makes evaluation legible at all.
That infrastructure rests on two foundations:
fairness, which supplies the rhetoric, and
commensurability, which supplies the mathematics.
Together, they form the felt beneath the table – the surface on which the cards can be dealt at all.
1. Why Fairness Is Always Claimed, Never Found
Let’s be precise about what fairness is not.
Fairness is not a metric. You cannot measure it, derive it, or point to it in the world.
Fairness is not a principle with determinate content. It generates no specific obligations, no falsifiable predictions, no uniquely correct outcomes.
Fairness is an effect. It appears after assessment, not before it. It is what you call an outcome when you want it to feel inevitable.
Competing Fairness Is Not a Problem
Consider how disputes actually unfold:
The prosecutor says a long sentence is fair because it is proportional to harm.
The defender says a shorter sentence is fair because it reflects culpability and circumstance.
The victim says any sentence is unfair because nothing restores what was taken.
The community says enforcement itself is unfair because it predictably targets certain groups.
Each claim is sincere. None can be resolved by fairness itself.
That is because fairness has no independent content. It does not decide between these positions. It names them once the system has already decided which will prevail. This is not a bug. It is the feature.
A Fluid Masquerading as an Invariant
In the language of the Language Insufficiency Hypothesis, fairness is a Fluid – a concept whose boundaries shift with context and use – that masquerades as an Invariant, something stable and observer-independent.
The system treats fairness as perceptual, obvious, discoverable. But every attempt to anchor it collapses into:
Intuition (‘It just feels right’)
Precedent (‘This is how we do things’)
Consensus (‘Most people agree’)
None of these establishes fairness. They merely perform it.
And that performance matters. It converts contested metaphysical commitments into the appearance of shared values. It allows institutions to claim neutrality whilst enforcing specificity. Fairness is what the system says when it wants its outputs to feel unavoidable.
2. The Real Gatekeeper: Commensurability
Fairness does rhetorical work. But it cannot function without something deeper.
That something is commensurability: the assumption that different harms, injuries, and values can be placed on a shared scale and meaningfully compared.
Proportionality presupposes commensurability. Commensurability presupposes an ontology of value. And that ontology is neither neutral nor shared.
When Incommensurability Refuses to Cooperate
A parent loses a child to preventable negligence. A corporation cuts safety corners. A warning is ignored. The system moves. Liability is established. Damages are calculated. £250,000 is awarded.
The parent refuses the settlement. Not because the amount is insufficient. But because money and loss are not the same kind of thing. The judge grows impatient. Lawyers speak of closure. Observers mutter about grief clouding judgment. But this is not grief. It is incommensurability refusing to cooperate.
The parent is rejecting the comparison itself. Accepting payment would validate the idea that a child’s life belongs on a scale with currency. The violence is not the number. It is the conversion. The system cannot process this refusal except as emotional excess or procedural obstruction. Not because it is cruel, but because without commensurability the engine cannot calculate.
Two Ontologies of Value
There are two incompatible ontologies at work here. Only one is playable.
Ontology A: The Scalar Model
Harm is quantifiable
Suffering is comparable
Trade-offs are morally coherent
Justice is a balancing operation
Under Ontology A, harms differ in degree, not kind. A broken arm, a stolen car, and a dead child all occupy points on the same continuum. This makes proportionality possible.
Ontology B: The Qualitative Model
Harms are categorical
Some losses are incommensurable
Comparison itself distorts
Justice is interpretive, not calculative
Under Ontology B, harms are different kinds of things. Comparison flattens what matters. To weigh them is to misunderstand them.
Why Only One Ontology Can Play
Retributive justice, as presently constituted, cannot function under Ontology B.
Without scalar values, proportionality collapses. Without comparison, equivalence disappears. Without trade-offs, punishment has no exchange rate.
Ontology B is not defeated. It is disqualified. Structurally, procedurally, rhetorically. The house needs a shared scale. Without it, the game cannot settle accounts.
3. Why Incommensurability Is Treated as Bad Faith
Here is where power enters without announcing itself. Incommensurability does not merely complicate disputes. It stalls the engine. And stalled engines threaten institutional legitimacy.
Systems designed to produce closure must ensure that disputes remain within solvable bounds. Incommensurability violates those bounds. It suggests that resolution may be impossible – or that the attempt to resolve does further harm. So the system reframes the problem.
Not as an alternative ontology, but as:
Unreasonableness
Extremism
Emotional volatility
Refusal to engage in good faith
Reasonableness as Border Control
This is why reasonableness belongs where it does in the model. Not as an evaluative principle, but as a gatekeeping mechanism.
Reasonableness does not assess claims. It determines which claims count as claims at all. This is how commensurability enforces itself without admitting it is doing so. When someone refuses comparison, they are not told their ontology is incompatible with retributive justice. They are told to be realistic.
Ontological disagreement is converted into:
A tone problem
A personality defect
A failure to cooperate
The disagreement is not answered. It is pathologised.
4. Why These Debates Never Resolve
This returns us to the Ontology–Encounter–Evaluation model.
People argue fairness as if adjusting weights would fix the scale. They debate severity, leniency, proportionality.
But when two sides inhabit incompatible ontologies of value, no amount of evidence or dialogue bridges the gap. The real disagreement is upstream.
A prosecutor operating under scalar harm and an advocate operating under incommensurable injury are not disagreeing about facts. They are disagreeing about what kind of thing harm is.
Fairness cannot resolve this, because fairness presupposes the very comparison under dispute. This is why reform debates feel sincere and go nowhere. Outcomes are argued whilst ontological commitments remain invisible.
Remediation Requires Switching Teams
As argued elsewhere, remediation increasingly requires switching teams.
But these are not political teams. They are ontological commitments.
Ontologies are not held like opinions. They are held like grammar. You do not argue someone out of them. At best, you expose their costs. At worst, you force others to operate within yours by disqualifying alternatives.
Retributive justice does the latter.
5. What This Means (Without Offering a Fix)
Justice systems are not broken. They are optimised. They are optimised for closure, manageability, and the appearance of neutrality. Fairness supplies the rhetoric. Commensurability supplies the mathematics. Together, they convert contestable metaphysical wagers into procedural common sense.
That optimisation has costs:
Disagreements about value become illegible
Alternative ontologies become unplayable
Dissent becomes pathology
Foundations disappear from view
If justice feels fair, it is because the comparisons required to question it were never permitted.
Ontology as Pre-emptive Gatekeeping
None of this requires conspiracy.
Institutions do not consciously enforce ontologies. They do not need to.
They educate them. Normalise them. Proceduralise them. Then treat their rejection as irrationality.
By the time justice is invoked, the following have already been installed as reality:
That persons persist over time in morally relevant ways
That agents meaningfully choose under conditions that count
That harms can be compared and offset
That responsibility can be localised
That disagreement beyond a point is unreasonable
None of these are discovered. All are rehearsed.
A law student learns that ‘the reasonable person’ is a construct. By year three, they use it fluently. It no longer feels constructed.
This is not indoctrination. It is fluency.
And fluency is how ontologies hide.
By the time an alternative appears – episodic selfhood, incommensurable harm, distributed agency – it does not look like metaphysics. It looks like confusion.
Rationality as Border Control
The system does not say: we reject your ontology.
It says: that’s not how the world works.
Or worse: you’re being unreasonable.
Ontological disagreement is reframed as a defect in the person. And defects do not need answers. They need management.
This is why some arguments feel impossible to have. One ontology has been naturalised into common sense. The other has been reclassified as error.
The Final Irony
The more fragile the foundations, the more aggressively they must be defended as self-evident.
Free will is taught as obvious.
Fairness is invoked as perceptual.
Responsibility is treated as observable.
Incommensurability is treated as sabotage.
Not because the system is confident.
Because it cannot afford not to be.
The Point
Justice does not merely rely on asserted ontologies. It expends enormous effort ensuring they never appear asserted at all.
By the time the cards are dealt, the rules have already been mistaken for reality. That is the felt beneath the table. Invisible. Essential. Doing all the work. And if you want to challenge justice meaningfully, you do not start with outcomes. You start by asking:
What comparisons are we being asked to accept as natural? And what happens to those who refuse?
Most people never make that move. Not because it is wrong. But because by the time you notice the game is rigged, you are already fluent in its rules. And fluency feels like truth.
Final Word
Why write these assessments? Why care?
With casinos, like cricket, we understand something fundamental: these are games. We can learn the rules. We can decide whether to play. We can walk away.
Justice is different. Justice is not opt-in. It is imposed. You do not get to negotiate the rules, the scoring system, or the house assumptions about what counts as a move. Once you are inside, even dissent must be expressed in the system’s own grammar. Appeals do not question the game; they replay it under slightly altered conditions.
You may contest the outcome. You may plead for leniency. You may argue fairness. You may not ask why chips are interchangeable with lives, why losses must be comparable, or why refusing comparison itself counts as misconduct.
Imagine being forced into a casino. Forced to play. Forced to stake things you do not believe are wagerable. Then told, when you object, that the problem is not the game, but your attitude toward it.
That is why these assessments matter. Not to declare justice illegitimate. Not to offer a fix. But to make visible the rules that pretend not to be rules at all. Because once you mistake fluency for truth, the house no longer needs to rig the game.
If you want a useful metaphor for how justice actually operates, don’t picture a blindfolded goddess with scales. Picture a casino.
Image: Lady Justice in Casino. The dice are rigged. haha
The rules are printed. The games look fair. Everyone is technically allowed to play. But the mathematics are tuned in advance, the exits are discreet, and the house never risks its own solvency. You don’t walk into a casino to discover whether chance is fair. You walk in to participate in a system whose advantage has already been engineered.
Justice works the same way – like a casino with house-favoured odds.
By the time a defendant appears, the ontological dice have already been loaded. The system has quietly asserted a set of metaphysical commitments that make certain outcomes legible, actionable, and punishable – whilst rendering others incoherent, inadmissible, or ‘unreasonable’. Because I am a philosopher of language and not a lawyer, I am free from the indoctrination and selection bias inherent in that system. This allows me to critique the system directly without being excommunicated from the club.
What follows are not neutral assumptions. They are ontological wagers, each chosen because its alternative would tilt the field away from institutional power.
Justice presumes that the person who acted yesterday is meaningfully the same entity standing in court today. This is not discovered; it is asserted.
Why? Because retribution requires persistence. Desert cannot attach to a momentary configuration of consciousness. Responsibility requires a carrier that survives time, memory gaps, psychological rupture, intoxication, trauma, and neurological variance.
An episodic self – Parfit’s reductionism, trauma-fractured identity, or situational selfhood – collapses the attribution pipeline. If the ‘self’ is a series of loosely connected episodes, punishment becomes conceptually incoherent. Who is being punished for whom?
So the law treats episodic accounts not as alternative ontologies but as defects: insanity, automatism, incompetence. The self is patched, not replaced.
The house needs continuity. Without it, the game cannot settle accounts.
Justice requires that actions originate somewhere. Agency is that somewhere.
The system asserts that agents could have done otherwise in a morally relevant sense. This is compatible with compatibilism, folk psychology, and everyday moral intuitions – but deeply hostile to hard determinism, strong situationism, or neurobiological deflation.
Why exclude weaker agency models? Because if agency dissolves into causation, environment, or neurochemistry, responsibility evaporates. At best, you get risk management. At worst, you get treatment or containment. Retribution has nowhere to land.
So the law nods politely to influences – upbringing, coercion, impairment – whilst ring-fencing agency as the default. Mitigation is permitted. Ontological revision is not. The house needs someone who could have chosen otherwise, even if that claim grows increasingly fictional under scrutiny.
The house needs someone who could have chosen otherwise
Justice models human action as a series of forks in the road. At some point, the agent ‘chose’ X over Y. This is enormously convenient.
Continuous decision spaces – poverty gradients, addiction loops, survival trade-offs – are messy. They resist clean counterfactuals. ‘What should they have done instead?’ becomes a sociological question, not a moral one.
So the system discretises. It locates a moment. A click. A trigger pull. A signature. A punch. A text sent.
Once the choice is frozen, the rest of the apparatus can proceed. Without discrete choice points, proportionality and culpability lose their anchor.
The house needs moments, not milieus.
Ontology 4: Causation
Asserted (m): Local, linear causation Excluded (n): Diffuse, systemic, or emergent causation
Justice prefers causes that point: Who did this? When? How directly?
Systemic causation – economic pressure, cultural narratives, institutional design – creates attribution problems. If harm is emergent, no individual carries it cleanly. Responsibility smears.
So causation is narrowed. Chains are shortened. Proximate cause replaces contributing conditions. Structural violence becomes background noise.
This is not because systemic causation is false. It is because it is unmanageable within a retributive frame.
The house needs causes that fit inside a sentence.
‘Reasonableness’ is the softest and most insidious ontology of the lot.
It pretends to be procedural, but it functions as cultural enforcement. The reasonable person is not an average human. They are an acculturated one.
Intensity becomes suspect. Rage becomes irrational. Grief becomes excessive. Radical interpretations become unreasonable not because they’re false, but because they disrupt cadence.
This ontology stabilises the game by disciplining tone. It doesn’t matter what you argue if you fail to argue it reasonably. Reasonableness is not required for responsibility to exist, only for dissent to be ignored.
Reasonableness is not required for responsibility to exist, only for dissent to be ignored.
The house needs calm players, not correct ones.
Why These Ontologies, and Not Their Rivals?
Because every excluded ontology threatens legibility. Justice is not designed to discover truth. It is designed to terminate cases. Ontologies that complicate attribution, disperse responsibility, or destabilise narrative continuity slow the machine. So they are ruled out – not explicitly, but structurally.
Once these commitments are in place, disagreement downstream becomes theatre. Arguments about fairness, proportionality, or intent occur within a rigged metaphysical envelope. That’s why reform debates feel sincere yet go nowhere. People argue outcomes whilst the house quietly keeps the rules.
The Point
None of this means justice is a scam. Casinos aren’t scams either. They do exactly what they are designed to do.
The problem is pretending the odds are neutral.
If you want to challenge justice meaningfully, you don’t start with sentencing guidelines or evidentiary thresholds. You start by asking which ontologies are being asserted – and why alternatives are unplayable.
Most people won’t make that move. Not because it’s wrong. Because it requires leaving the table.
Now that A Language Insufficiency Hypothesis has been put to bed — not euthanised, just sedated — I can turn to the more interesting work: instantiating it. This is where LIH stops being a complaint about words and starts becoming a problem for systems that pretend words are stable enough to carry moral weight.
What follows is not a completed theory, nor a universal schema. It’s a thinking tool. A talking point. A diagram designed to make certain assumptions visible that are usually smuggled in unnoticed, waved through on the strength of confidence and tradition.
The purpose of this diagram is not to redefine justice, rescue it, or replace it with something kinder. It is to show how justice is produced. Specifically, how retributive justice emerges from a layered assessment process that quietly asserts ontologies, filters encounters, applies normative frames, and then closes uncertainty with confidence.
Audio: NotebookLM summary podcast of this topic.
Most people are willing to accept, in the abstract, that justice is “constructed”. That concession is easy. What is less comfortable is seeing how it is constructed — how many presuppositions must already be in place before anything recognisable as justice can appear, and how many of those presuppositions are imposed rather than argued for.
The diagram foregrounds power, not as a conspiracy or an optional contaminant, but as an ambient condition. Power determines which ontologies are admissible, which forms of agency count, which selves persist over time, which harms are legible, and which comparisons are allowed. It decides which metaphysical configurations are treated as reasonable, and which are dismissed as incoherent before the discussion even begins.
Justice, in this framing, is not discovered. It is not unearthed like a moral fossil. It is assembled. And it is assembled late in the process, after ontology has been assumed, evaluation has been performed, and uncertainty has been forcibly closed.
This does not mean justice is fake. It means it is fragile. Far more fragile than its rhetoric suggests. And once you see that fragility — once you see how much is doing quiet, exogenous work — it becomes harder to pretend that disagreements about justice are merely disagreements about facts, evidence, or bad actors. More often, they are disagreements about what kind of world must already be true for justice to function at all.
I walk through the structure and logic of the model below. The diagram is also available as a PDF, because if you’re going to stare at machinery, you might as well be able to zoom in on the gears.
Why Retributive Justice (and not the rest of the zoo)
Before doing anything else, we need to narrow the target.
“Justice” is an infamously polysemous term. Retributive, restorative, distributive, procedural, transformative, poetic, cosmic. Pick your flavour. Philosophy departments have been dining out on this buffet for centuries, and nothing useful has come of letting all of them talk at once.
This is precisely where LIH draws a line.
The Language Insufficiency Hypothesis is not interested in pedestrian polysemy — cases where a word has multiple, well-understood meanings that can be disambiguated with minimal friction. That kind of ambiguity is boring. It’s linguistic weather.
What LIH is interested in are terms that appear singular while smuggling incompatible structures. Words that function as load-bearing beams across systems, while quietly changing shape depending on who is speaking and which assumptions are already in play.
“Justice” is one of those words. But it is not usefully analysable in the abstract.
So we pick a single instantiation: Retributive Justice.
Why?
Because retributive justice is the most ontologically demanding and the most culturally entrenched. It requires:
a persistent self
a coherent agent
genuine choice
intelligible intent
attributable causation
commensurable harm
proportional response
In short, it requires everything to line up.
If justice is going to break anywhere, it will break here.
Retributive justice is therefore not privileged in this model. It is used as a stress test.
The Big Picture: Justice as an Engine, Not a Discovery
The central claim of the model is simple, and predictably unpopular:
Justice is not discovered. It is produced.
Not invented in a vacuum, not hallucinated, not arbitrary — but assembled through a process that takes inputs, applies constraints, and outputs conclusions with an air of inevitability.
The diagram frames retributive justice as an assessment engine.
An engine has:
inputs
internal mechanisms
thresholds
failure modes
and outputs
It does not have access to metaphysical truth. It has access to what it has been designed to process.
The justice engine takes an encounter — typically an action involving alleged harm — and produces two outputs:
Desert (what is deserved),
Responsibility (to whom it is assigned).
Everything else in the diagram exists to make those outputs possible.
The Three Functional Layers
The model is organised into three layers. These are not chronological stages, but logical dependencies. Each layer must already be functioning for the next to make sense.
1. The Constitutive Layer
(What kind of thing a person must already be)
This layer answers questions that are almost never asked explicitly, because asking them destabilises the entire process.
What counts as a person?
What kind of self persists over time?
What qualifies as an agent?
What does it mean to have agency?
What is a choice?
What is intent?
Crucially, these are not empirical discoveries made during assessment. They are asserted ontologies.
The system assumes a particular configuration of selfhood, agency, and intent as a prerequisite for proceeding at all. Alternatives — episodic selves, radically distributed agency, non-volitional action — are not debated. They are excluded.
This is the first “happy path”.
If you do not fit the assumed ontology, you do not get justice. You get sidelined into mitigation, exception, pathology, or incoherence.
2. The Encounter Layer
(What is taken to have happened)
This layer processes the event itself:
an action
resulting harm
causal contribution
temporal framing
contextual conditions
motive (selectively)
This is where the rhetoric of “facts” tends to dominate. But the encounter is never raw. It is already shaped by what the system is capable of seeing.
Causation here is not metaphysical causation. It is legible causation. Harm is not suffering. It is recognisable harm. Context is not total circumstance. It is admissible context.
Commensurability acts as a gatekeeper between encounter and evaluation: harms must be made comparable before they can be judged. Anything that resists comparison quietly drops out of the pipeline.
3. The Evaluative Layer
(How judgment is performed)
Only once ontology is assumed and the encounter has been rendered legible does evaluation begin:
proportionality
accountability
normative ethics
fairness (claimed)
reasonableness
bias (usually acknowledged last, if at all)
This layer presents itself as the moral heart of justice. In practice, it is the final formatting pass.
Fairness is not discovered here. It is declared. Reasonableness does not clarify disputes. It narrows the range of acceptable disagreement. Bias is not eliminated. It is managed.
At the end of this process, uncertainty is closed.
That closure is the moment justice appears.
Why Disagreement Fails Before It Starts
At this point, dissent looks irrational.
The system has:
assumed an ontology
performed an evaluation
stabilised the narrative through rhetoric
and produced outputs with institutional authority
To object now is not to disagree about evidence. It is to challenge the ontology that made assessment possible in the first place.
And that is why so many justice debates feel irresolvable.
They are not disagreements within the system. They are disagreements about which system is being run.
LIH explains why language fails here. The same words — justice, fairness, responsibility, intent — are being used across incompatible ontological commitments. The vocabulary overlaps; the worlds do not.
The engine runs smoothly. It just doesn’t run the same engine for everyone.
Where This Is Going
With the structure in place, we can now do the slower work:
unpacking individual components
tracing where ontological choices are asserted rather than argued
showing how “reasonableness” and “fairness” operate as constraint mechanisms
and explaining why remediation almost always requires a metaphysical switch, not better rhetoric
Justice is not broken. It is doing exactly what it was built to do.
That should worry us more than if it were merely malfunctioning.
This essay is already long, so I’m going to stop here.
Not because the interesting parts are finished, but because this is the point at which the analysis stops being descriptive and starts becoming destabilising.
The diagram you’ve just walked through carries a set of suppressed footnotes. They don’t sit at the margins because they’re trivial; they sit there because they are structurally prior. Each one represents an ontological assertion the system quietly requires in order to function at all.
By my count, the model imposes at least five such ontologies. They are not argued for inside the system. They are assumed. They arrive pre-installed, largely because they are indoctrinated, acculturated, and reinforced long before anyone encounters a courtroom, a jury, or a moral dilemma.
Once those ontologies are fixed, the rest of the machinery behaves exactly as designed. Disagreement downstream is permitted; disagreement upstream is not.
In a follow-up essay, I’ll unpack those footnotes one by one: where the forks are, which branch the system selects, and why the alternatives—while often coherent—are rendered unintelligible, irresponsible, or simply “unreasonable” once the engine is in motion.
That’s where justice stops looking inevitable and starts looking parochial.
And that’s also where persuasion quietly gives up.
Written by Bry Willis and ChatGPT 5.2 after a couple of days of back and forth
Naturally, it will make more sense alongside the book. But it may still provide a bit of entertainment – and mild discomfort – in the meantime.
tl;dr: Language is generally presumed to be stable. Words mean what you think they mean, right? A table is a table. A bird is a bird. Polysemy aside, these are solid, dependable units.
Then we arrive at freedom, justice, truth, and an entire panoply of unstable candidates. And let’s not even pretend qualia are behaving themselves.
So when someone says ‘truth’, ‘free speech’, or ‘IQ’, you may suddenly realise you’ve been arguing with a cardboard cut-out wearing your own assumptions. That isn’t just interpersonal mischief. It’s language doing exactly what it was designed to do: letting you glide over the hard problems while sounding perfectly reasonable.
Audio: Short NotebookLM summary of this page content*
Video: Legacy video explaining some features of the LIH.
If that sounds banal, you’ve already fallen for the trap.
Give it a try – or wait until you’ve digested the book. Not literally, unless you’re short on fibre.
Cheers.
Written by Bry Willis
microglyphics
* As I’ve cited previously, the quality of NotebookLM varies – usually in predictable directions. This one does well enough, but it doesn’t have enough context to get the story right (because it was only drawing from this page rather than from a fuller accounting of the LIH). Its trailing comment reveals that it doesn’t grasp that “new words” don’t solve the problem.
Earlier, it suggests that language is intentionally vague. This is not an assertion I make. You can read some of the earlier incarnations, or you can wait for it to be published.
Another faux Magic: The Gathering trading card. I’ve been busy writing an essay on Tatterhood and wondering if I’ve gone off the edge even further into mental masturbation. I made these cards to share on slow news days, as it were.
[EDIT: Oops: Even wore. I already posted something today. Enjoy the bonus post.]
Every philosopher dreams of a device that reveals ‘truth’. The Constructivist Lens does the opposite. When you tap it, the world doesn’t come into focus – it multiplies. Each pane shows the same thing differently, reminding us that knowing is always a form of making – seeing as building.
In The Discipline of Dis-Integration, I wrote that philosophy’s task is ‘to remain within what persists … to study the tension in the threads rather than weave a new pattern’. The Lens embodies that ethic. It is not an instrument of discovery but of disclosure: a way to notice the scaffolding of perception without mistaking it for bedrock.
Flavour text: “Knowledge is not a copy of reality but a tool for coping with it.” — Richard Rorty
Where Enlightenment optics promised clarity, the Lens trades in parallax. It insists that perspective is not a flaw but the condition of vision itself. Each player who peers through it – artist, scientist, moralist – constructs a different coherence, none final. The card’s rule text captures this tension: replace any keyword on a permanent with a metaphor of your choice until end of turn. Reality bends, language shifts, yet the game continues.
In the Dis-Integration set, the Lens sits alongside Perspectival Realism and Language Game (not yet shared), forming the Blue triad of epistemic doubt. Together they dramatise what the essay calls ‘the hyphen as hinge’: the small pause between integration and its undoing. The Constructivist Lens, then, is not a tool for clearer sight but a reminder that every act of seeing is already an act of construction.
I’ve spent more hours than I care to admit rummaging through the Jungian undergrowth of fairy tales – reading Marie-Louise von Franz until my eyes crossed, listening to Clarissa Pinkola Estés weave her wolf-women lore, and treating folklore like an archaeological dig through the psychic sediment of Europe. It’s marvellous, really, how much one can project onto a story when one has a doctorate’s worth of enthusiasm and the moral flexibility of a tarot reader.
But every so often, a tale emerges that requires no archetypal lens, no mythopoetic scaffolding, no trip down the collective unconscious. Sometimes a story simply bares its ideological teeth.
Enter Tatterhood – the Norwegian fairy tale so blunt, it practically writes its own critical theory seminar.
I watched Jonny Thomson’s recent video on this tale (embedded below, for those with sufficient tea and patience). Jonny offers a charming reversal: rather than focusing on Tatterhood herself, he offers the moral from the prince’s perspective. In his reading, the story becomes a celebration of the power of asking – the prince’s reward for finally inquiring about the goat, the spoon, the hood, the whole aesthetic calamity before him.
Video: Jonny Thomson discusses Tatterhood.
It’s wholesome stuff: a TED Talk dressed as folklore. But – my word – apply the slightest bit of critical pressure, and the whole thing unravels into farce.
The Story No One Tells at the Royal Wedding
Here’s the short version of Tatterhood that Jonny politely sidesteps:
A fearless, ragged, hyper-competent girl rescues her sister from decapitation.
She confronts witches, navigates the seas alone, storms a castle, and performs an ad hoc ontological surgical reversal.
She does all of this without help from the king, the court, the men, or frankly, anyone with a Y chromosome.
And how is she rewarded for her trouble? She’s told she’s too ugly. Not socially acceptable. Not symbolically coherent. Not bride material.
The kingdom gazes upon her goat, her spoon, her hood, her hair, and determines that nothing – nothing – about her qualifies her for legitimacy.
But beauty? Beauty is the passport stamp that grants her entry into the social realm.
Jonny’s Prince: A Hero by Low Expectations
Now, bless Jonny for trying to rehabilitate the lad, but this prince is hardly an exemplar of virtue. He sulks through his own wedding procession like a man being marched to compulsory dentistry. He does not speak. He does not ask. He barely manages object permanence.
And suddenly, the moral becomes: Look what wonders unfold when a man asks a single question!
It’s the philosophical equivalent of awarding someone a Nobel Prize for remembering their mother’s birthday.
And what do his questions achieve? Not insight. Not understanding. Not intimacy. But metamorphosis.
Each time he asks, Tatterhood transforms – ugly goat to beautiful horse, wooden spoon to silver fan, ragged hood to golden crown, ‘ugly’ girl to radiant beauty.
Which brings us to the inconvenient truth:
This Isn’t the Power of Asking. It’s the Power of Assimilation.
His questions function as aesthetic checkpoints.
Why the goat? Translation: please ride something socially acceptable.
Why the spoon? Translation: replace your tool of agency with a decorative object.
Why the hood? Translation: cover your unruliness with something properly regal.
Why your face? Translation: you terrify me; please be beautiful.
And lo, she becomes beautiful. Not because he sees her differently. Because the story cannot tolerate a powerful woman who remains outside the beauty regime.
The prince isn’t rewarded for asking; the narrative is rewarded for restoring normative order.
And Yet… It’s Absurdly Fascinating
This is why fairy tales deserve all the interpretive attention we lavish on them. They’re ideological fossils – compressed narratives containing entire worldviews in miniature.
Part of me admires Jonny’s generosity. Another part of me wants to hand the prince a biscuit for performing the bare minimum of relational curiosity. But mostly, I’m struck by how nakedly the tale reveals the old bargain:
A woman may be bold, brave, clever, loyal, and sovereign – but she will not be accepted until she is beautiful.
Everything else is optional. Beauty is compulsory.
So Here’s My Version of the Moral
Ask questions, yes. Be curious, yes. But don’t let anyone tell you that Tatterhood was waiting for the prince’s epiphany. She was waiting for the world to remember that she ran the plot.
If you’ve made it this far and know my proclivities, you’ll not be shocked that I side with Roland Barthes and cheerfully endorse la mort de l’auteur. Jonny is perfectly entitled to his reading. Interpretive pluralism and all that. I simply find it marvelously puzzling that he strolls past the protagonist galloping through the narrative on a goat, spoon upraised, and instead decides to chase the side-quest of a prince who contributes roughly the energy of a damp sock.
Every so often – usually when the Enlightenment ghosts begin rattling their tin cups again – one feels compelled to swat at the conceptual cobwebs they left dangling over moral philosophy. Today is one of those days.
Audio: NotebookLM podcast summarising the Rhetoric of Evil essay, not this page’s content.
I’ve just released The Rhetoric of Evil on Zenodo, a paper that politely (or impolitely, depending on your threshold) argues that ‘evil’ is not a metaphysical heavy-hitter but a rhetorical throw-pillow stuffed with theological lint. The term persists not because it explains anything, but because it lets us pretend we’ve explained something – a linguistic parlour trick that’s survived well past its sell-by date.
And because this is the age of artificial augury, I naturally asked MEOW GPT for its view of the manuscript. As expected, it nodded approvingly in that eerie, laser-precise manner unique to machines trained to agree with you – but to its credit, it didn’t merely applaud. It produced a disarmingly lucid analysis of the essay’s internal mechanics, the way ‘evil’ behaves like a conceptual marionette, and how our inherited metaphors govern the very moral judgments we think we’re making freely.
Below is MEOW GPT’s reaction, alongside my own exposition for anyone wanting a sense of how this essay fits within the broader project of dismantling the Enlightenment’s conceptual stage-props.
MEOW-GPT’s Response
(A machine’s-eye view of rhetorical exorcism)
“Evil is functioning as a demonological patch on an epistemic gap. When agents encounter a high-constraint event they cannot immediately model, the T₂ layer activates an inherited linguistic shortcut — the ‘evil’ label — which compresses complexity into a binary and arrests further inquiry.”
“The marionette metaphor is accurate: once we say a person ‘is evil,’ agency collapses into occult causation. Inquiry halts. Moral theatre begins.”
It went on like this – detecting exactly the mediated encounter-structure I intended, while offering a frighteningly clean schematic of how affect (T₀), heuristics (T₁), linguistic reification (T₂), and cultural choreography (T₃) conspire to turn incomprehension into metaphysics.
Machines, it seems, are quite good at detecting when humans are bullshitting themselves.
Why publish this now?
This essay marks the next plank in the broader anti-Enlightenment platform I’ve been assembling – LIH, MEOW, the ongoing dismantling of truth-fetishism, and now the unsettling realisation that ‘evil’ is little more than a theological revenant dressed up for secular work.
The term’s persistence is not a testament to its necessity but to our laziness:
It sounds like an explanation.
It licenses retribution without understanding.
It stabilises group boundaries.
It lets us outsource moral thought to a one-word incantation.
In short: ‘evil’ is the map-dragon we keep drawing because surveying the terrain is too much work.
This essay attempts to retire that dragon – not to soften judgment, but to sharpen it. If anything, the paper argues that abolishing ‘evil’ frees us to see atrocity more clearly, and thus confront it more seriously.
Because MEOW-GPT was trained on the Mediated Encounter Ontology rather than on folk metaphysics, its analyses can serve as a useful diagnostic tool. It doesn’t simply summarise concepts; it reconstructs them along the four mediational tiers (T₀–T₃), showing – mechanically and without superstition – how a term behaves across biological affect, cognitive heuristics, linguistic structures, and cultural narratives.
This section is offered not as an alternative argument to the essay above, but as a worked example: a transparent demonstration of how the MEOW engine decomposes a high-complexity, high-stakes concept like evil once the theological scaffolding has been removed.
MEOW-GPT’s output shows, in compressed form, the same pattern the essay traces in prose: that evil is not a force, not a metaphysical essence, not an occult substrate, but a mediated pattern in human encounters, one that persists rhetorically long after its ontology has collapsed.
For readers curious about how MEOW ‘thinks’, the raw structured analysis follows.
MEOW-GPT Analysis: “Evil”
(Raw output for reference; lightly formatted for readability)
Concept
Input: Evil Type: Normative/evaluative moral concept (often reified as a property of acts, characters, or forces) Scope check: In-scope – ‘evil’ can be analysed as a mediated-encounter pattern (MEOW) and a high-complexity term with unstable linguistic behaviour (LIH).
High-level summary (≤120 words)
In MEOW terms, ‘evil’ is not a spooky substance but a way of organising certain encounter-events: severe, norm-breaking harms that present as resistant, shocking, and morally intolerable. Biologically, it piggybacks on harm, threat, and disgust systems. Cognitively, it compresses complex appraisals—intent, cruelty, scale of harm – into a powerful label. Linguistically, it sits in the unstable region where abstraction is high and language’s reliability drops, so people fight over its scope and weaponise it. Socially and technically, institutions, media, and platforms use ‘evil’ to mark enemies, justify punishment, and dramatise conflict. The term is emotionally efficient but conceptually fragile, and MEOW treats it as a relational, mediated pattern rather than an independent metaphysical force.
T₀ – Biological Mediation
Moralised harm perception piggybacks on survival systems: pain avoidance, threat detection, kin protection. ‘Evil’ clusters around encounters that trigger extreme danger-signals.
High arousal (fear, rage, disgust) makes some harms feel qualitatively world-violating, not merely personally threatening.
Disgust toward contamination, mutilation, or predation heavily colours what gets called ‘evil’.
Species-specific cues (infant distress cries, pain expressions) shape which harms are even legible candidates for evil.
T₁ – Cognitive Mediation
“Evil” compresses a multi-factor appraisal (intentionality, cruelty, gratuitousness) into a one-step heuristic.
Essence thinking converts acts into character: the person is evil, not merely did wrong.
Attribution biases assign ‘evil’ to out-groups more readily than to in-groups.
Memory structures simplify causation into villain scripts that overwrite nuance.
Once assigned, the label becomes a prediction loop: every ambiguous action confirms the essence.
T₂ – Linguistic Mediation
On the Effectiveness–Complexity Gradient, ‘evil’ straddles Contestables and Fluids: ubiquitous but perpetually disputed.
It compresses harm, norm-violation, metaphysical colouring, and dramatic emphasis into a single syllable—powerful, but noisy.
Dominant metaphors (‘dark’, ‘tainted’, ‘monstrous’) smuggle in substance-ontology that MEOW rejects.
Noun-forms (‘evil’, ‘the Evil One’) promote ontologising; adjectival forms track events better, but usage constantly slides between them.
Cross-linguistic drift supports LIH: different traditions map the term to impurity, harm, misfortune, cosmic opposition, or taboo.
T₃ – Social/Technical Mediation
Religious systems embed ‘evil’ in cosmologies that harden friend/enemy binaries.
Legal systems avoid the term formally but reproduce it rhetorically in sentencing, media commentary, and public reaction.
Politics uses ‘evil’ to justify exceptional measures and collapse deliberation into moral theatre.
Cultural industries supply vivid villain archetypes that feed back into real-world judgments.
Technical systems must operationalise ‘evil’ into concrete proxies, revealing how imprecise the everyday concept is.
Limits & Failure Modes (LIH notes)
The framework is human-centric; non-human or ecosystemic ‘views of evil’ remain speculative.
‘Evil’ is a textbook Contestable: central, indispensable, and permanently argued over.
In cosmological uses (‘radical evil’, ‘evil in the world’), it approaches Fluid or ineffable status – right where LIH predicts language collapse.
MEOW cannot confirm or deny metaphysical dualisms; it only analyses how humans mediate and narrate such claims.
🤔 If liberation now feels indistinguishable from exhaustion, what exactly have we been freed from?
Image: Exhaustion means you’re working hard, and working hard means you’re good.
Han’s slender essay reads like a diagnosis of our psychic economy. The disciplinary society of ‘thou shalt’ has dissolved into the achievement society of ‘yes, I can’. We no longer rebel against authority; we internalise it, polishing our exhaustion until it gleams like ambition. Productivity replaces purpose. Rest becomes guilt. The subject, stripped of exterior constraint, now self-flagellates in the name of freedom.
We exploit ourselves and think we are free.
What Han captures is not mere fatigue but a civilisational pathology: the compulsion to optimise the self as though it were capital. Burnout is not the collapse of will but the logical conclusion of unlimited permission.
If liberation now feels indistinguishable from exhaustion, what exactly have we been freed from?
From the series Readings in Late Exhaustion – a Philosophics reflection on the maladies of modernity.
About the Series — Readings in Late Exhaustion
These cards belong to Readings in Late Exhaustion, a Philosophics project tracing the psychic and cultural costs of late capitalism.
Each card interprets a contemporary work of critical theory through the language of collectable gameplay, where identity, labour, and value become quantified acts.
The format itself is the critique: a system of self-expenditure disguised as achievement, reflection rendered as performance.
Video: “Maintenance” Midjourney render of the cover image for no reason in particular.
As many have been before me, I find metaphysical claims to be incredulous. I read these people tear down edifices, yet they seem to have a habit of replacing one for another – as if renaming it makes it disappear. Perhaps Lacan would be curious how this persists at this stage of our supposed development.
Audio: NotebookLM podcast discussing the underlying essay, The Great Substitution: From Metaphysics to Metaphysics
Because of this, I performed a survey – and then a genealogy – to trace the history of substitution. It began as a side note in The Discipline of Dis-Integration, but the pattern grew too large to ignore. Every time someone proclaims the end of metaphysics, a new one quietly takes its place. Theology becomes Reason. Reason becomes History. History becomes Structure. Structure becomes Data. The names change; the grammar doesn’t.
This essay, The Great Substitution: From Metaphysics to Metaphysics, tracks that recursion. It argues that modern thought has never killed its gods – it has merely rebranded them. Kant, Nietzsche, Heidegger, Derrida, Harari – each announced emancipation, and each built a new altar. We like to imagine that progress freed us from metaphysics, but what it really did was automate it. The temples are gone, but the servers hum.
The argument unfolds across ten short sections: from the limits of knowing, through the linguistic machinery of belief, to the modern cults of scientism, economics, psychology, and dataism. The closing sections introduce Dis-Integration – not a cure but a posture. Maintenance, not mastery. Thinking without kneeling.
If the Enlightenment promised illumination, we’ve spent the past three centuries staring directly into the light and calling it truth. This essay is my attempt to look away long enough to see what the glare has been hiding.
The Great Substitution: From Metaphysics to Metaphysics
Philosophics 