The Ontology–Encounter–Evaluation Model: Retributive Justice as an Instantiation

7–10 minutes

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.

Read part 2 of this essay.

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:

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

That should worry us more than if it were merely malfunctioning.

The rest of the story

Read part 2 of this essay.

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.

A History of Language Insufficiency

3–4 minutes

I’ve been working on A Language Insufficiency Hypothesis since 2018. At least, that’s the polite, CV-friendly version. The truer account is that it’s been quietly fermenting since the late 1970s, back when I was still trapped in primary school and being instructed on how the world supposedly worked.

Social Studies. Civics. Law. The whole civic catechism. I remember being taught about reasonable persons and trial by a jury of one’s peers, and I remember how insistently these were presented as fair solutions. Fairness was not argued for. It was asserted, with the weary confidence of people who think repetition counts as justification.

I didn’t buy it. I still don’t. The difference now is that I have a hypothesis with some explanatory power instead of a vague sense that the adults were bluffing.

Audio: NotebookLM summary podcast of this topic.

I’ve always been an outsider. Eccentric, aloof, l’étranger if we’re feeling theatrical. It never particularly troubled me. Outsiders are often tolerated, provided they remain decorative and non-contagious. Eye rolls were exchanged on both sides. No harm done.

But that outsider position had consequences. It led me, even then, to ask an awkward question: Which peers? Not because I thought I was superior, but because I was plainly apart. How exactly was I meant to be judged by my peers when no one else occupied anything like my perspective?

Later, when I encountered the concept of fundamental attribution bias, it felt less like a revelation and more like confirmation. A peer-based system assumes not just similarity of circumstance, but similarity of interpretation. That assumption was dead on arrival.

Then there were reasonable persons. I was assured they existed. I was assured judges were trained to embody them. I had never met one. Even as a teenager, I found the idea faintly comical. Judges, I was told, were neutral, apolitical, and dispassionate. Writing this now from the United States, one hardly needs to belabour the point. But this wasn’t prescience. It was intuition. The smell test failed decades ago.

Before LIH had a name, I called these things weasel words. I still do, as a kind of shorthand. Terms like fair, reasonable, accountable, appropriate. Squishy concepts that do serious institutional work whilst remaining conveniently undefinable. Whether one wants to label them Contestables or Fluids is less important than recognising the space they occupy.

That space sits between Invariables, things you can point to without dispute, and Ineffables, where language more or less gives up. Communication isn’t binary. It isn’t ‘works’ or ‘doesn’t’. It’s a gradient. A continuous curve from near-certainty to near-failure.

Most communication models quietly assume a shared ontology. If misunderstanding occurs, the remedy is more explanation, more context, more education. What never sat right with me, even as a child, was that this only works when the disagreement is superficial. The breaking point is ontological.

If one person believes a term means {A, B, C} and another believes it means {B, C, D}, the overlap creates a dangerous illusion of agreement. The disagreement hides in the margins. A and D don’t merely differ. They are often irreconcilable.

Image: Venn diagramme of a contested concept.
Note: This is illustrative and not to scale

Fairness is a reliable example. One person believes fairness demands punishment, including retributive measures. Another believes fairness permits restoration but rejects retribution, citing circumstance, history, or harm minimisation. Both invoke fairness sincerely. The shared language conceals the conflict.

When such disputes reach court, they are not resolved by semantic reconciliation. They are resolved by authority. Power steps in where meaning cannot. This is just one illustration. There are many.

I thought it worth sharing how LIH came about, if only to dispel the notion that it’s a fashionable response to contemporary politics. It isn’t. It’s the slow crystallisation of a long-standing intuition: that many of our most cherished concepts don’t fail because we misuse them, but because they were never capable of doing the work we assigned to them.

More to come.

Justice as a House of Cards

4–6 minutes

How retribution stays upright by not being examined

There is a persistent belief that our hardest disagreements are merely technical. If we could stop posturing, define our terms, and agree on the facts, consensus would emerge. This belief survives because it works extremely well for birds and tables.

It fails spectacularly for justice.

Audio: NotebookLM summary podcast of this topic.

The Language Insufficiency Hypothesis (LIH) isn’t especially interested in whether people disagree. It’s interested in how disagreement behaves under clarification. With concrete terms, clarification narrows reference. With contested ones, it often fractures it. The more you specify, the more ontologies appear.

Justice is the canonical case.

Retributive justice is often presented as the sober, adult conclusion. Not emotional. Not ideological. Just what must be done. In practice, it is a delicately balanced structure built out of other delicately balanced structures. Pull one term away and people grow uneasy. Pull a second and you’re accused of moral relativism. Pull a third and someone mentions cavemen.

Let’s do some light demolition. I created a set of 17 Magic: The Gathering-themed cards to illustrate various concepts. Below are a few. A few more may appear over time.

Card One: Choice

Image: MTG: Choice – Enchantment

The argument begins innocently enough:

They chose to do it.

But “choice” here is not an empirical description. It’s a stipulation. It doesn’t mean “a decision occurred in a nervous system under constraints.” It means a metaphysically clean fork in the road. Free of coercion, history, wiring, luck, trauma, incentives, or context.

That kind of choice is not discovered. It is assumed.

Pointing out that choices are shaped, bounded, and path-dependent does not refine the term. It destabilises it. Because if choice isn’t clean, then something else must do the moral work.

Enter the next card.

Card Two: Agency

Image: MTG: Agency – Creature – Illusion

Agency is wheeled in to stabilise choice. We are reassured that humans are agents in a morally relevant sense, and therefore choice “counts”.

Counts for what, exactly, is rarely specified.

Under scrutiny, “agency” quietly oscillates between three incompatible roles:

  • a descriptive claim: humans initiate actions
  • a normative claim: humans may be blamed
  • a metaphysical claim: humans are the right kind of cause

These are not the same thing. Treating them as interchangeable is not philosophical rigour. It’s semantic laundering.

But agency is emotionally expensive to question, so the discussion moves on briskly.

Card Three: Responsibility

Image: MTG: Responsibility – Enchantment – Curse

Responsibility is where the emotional payload arrives.

To say someone is “responsible” sounds administrative, even boring. In practice, it’s a moral verdict wearing a clipboard.

Watch the slide:

  • causal responsibility
  • role responsibility
  • moral responsibility
  • legal responsibility

One word. Almost no shared criteria.

By the time punishment enters the picture, “responsibility” has quietly become something else entirely: the moral right to retaliate without guilt.

At which point someone will say the magic word.

Card Four: Desert

Image: MTG: Desert – Instant

Desert is the most mystical card in the deck.

Nothing observable changes when someone “deserves” punishment. No new facts appear. No mechanism activates. What happens instead is that a moral permission slip is issued.

Desert is not found in the world. It is declared.

And it only works if you already accept a very particular ontology:

  • robust agency
  • contra-causal choice
  • a universe in which moral bookkeeping makes sense

Remove any one of these and desert collapses into what it always was: a story we tell to make anger feel principled.

Which brings us, finally, to the banner term.

Card Five: Justice

Image: MTG: Justice – Enchantment

At this point, justice is invoked as if it were an independent standard hovering serenely above the wreckage.

It isn’t.

“Justice” here does not resolve disagreement. It names it.

Retributive justice and consequentialist justice are not rival policies. They are rival ontologies. One presumes moral balance sheets attached to persons. The other presumes systems, incentives, prevention, and harm minimisation.

Both use the word justice.

That is not convergence. That is polysemy with a body count.

Why clarification fails here

This is where LIH earns its keep.

With invariants, adding detail narrows meaning. With terms like justice, choice, responsibility, or desert, adding detail exposes incompatible background assumptions. The disagreement does not shrink. It bifurcates.

This is why calls to “focus on the facts” miss the point. Facts do not adjudicate between ontologies. They merely instantiate them. If agency itself is suspect, arguments for retribution do not fail empirically. They fail upstream. They become non sequiturs.

This is also why Marx remains unforgivable to some.
“From each according to his ability, to each according to his need” isn’t a policy tweak. It presupposes a different moral universe. No amount of clarification will make it palatable to someone operating in a merit-desert ontology.

The uncomfortable conclusion

The problem is not that we use contested terms. We cannot avoid them.

The problem is assuming they behave like tables.

Retributive justice survives not because it is inevitable, but because its supporting terms are treated as settled when they are anything but. Each card looks sturdy in isolation. Together, they form a structure that only stands if you agree not to pull too hard.

LIH doesn’t tell you which ontology to adopt.

It tells you why the argument never ends.

And why, if someone insists the issue is “just semantic”, they’re either confused—or holding the deck.

Announcement: MEOW GPT

Instead of sleeping like a functional adult, I’ve spent the night creating, testing, and refining a bespoke GPT that has fully absorbed my MEOW and LIH frameworks. Apologies that the LIH manuscript isn’t yet public; some of the terminology may look delightfully alien if you’re coming in cold.

This model doesn’t role-play a philosopher; it thinks through the Mediated Encounter Ontology. It runs every input through T0–T3 mediations and then applies the Language Insufficiency Hypothesis to explain why our words fail us in predictable, structural ways.

Audio: NotebookLM summary podcast of this post on the MEOW GPT.

I stress-tested it with a dozen concepts, from the obvious to the uncooperative. It happily tells you when your input makes sense, when it’s out of scope, and when you’ve handed it conceptual soup. My first test was the hard problem of consciousness, because naturally we begin with the philosophical boss fight. I dialled down some over-enthusiastic LIH flourishes, but the bones are untouched.

I’m making this public for a simple reason: it’s the clearest way for people to see how MEOW operates without wandering through a hundred pages of my prose. These outputs capture how I process information and why these frameworks feel so intuitively correct to me. When you read them, you get a direct view of my interpretive machinery – how the world clicks for me, and how these ideas evolved.

It hasn’t been rigorously battle-tested across the entire conceptual universe, but it’s stable, coherent, and frankly too interesting to keep in the drawer. If you try it – and I hope you do – I’d love to see what it does with your own concepts. If you need help reading the results, ask. I didn’t simplify the system; it expects literacy, nuance, and a working prefrontal cortex.

For orientation, read the introductory post or the colour perception example. Ideally, read the original essay and listen to the summary podcast. My first test was on the hard problem of consciousness because I had already analysed it for this post. I made some adjustments to tone down some LIH intrusions.

Below is a sample output. I asked the model to analyse modernity.

Concept

  • Input: modernity
  • Type: historical–social formation / self-description of an era / conceptual frame
  • Scope check: in-scope – central for how MEOW treats large-scale shifts in mediation (social, technical, cognitive, linguistic)

High-level summary (≤120 words)

Modernity is both a historical bundle (industrialisation, nation-states, capitalism, science, bureaucracy, media) and a story societies tell about themselves (“we are modern, unlike the past”).

In MEOW terms, modernity is a large-scale reorganisation of mediations:

  • T0: new bodily environments (urban life, clocks, artificial light, pollution, medicine).
  • T1: new cognitive habits (individualism, planning, abstraction, risk-calculation).
  • T2: new vocabularies (progress, development, rationality, “religion” vs “science”).
  • T3: new institutions and technologies (markets, states, factories, schools, mass media, digital networks).

“Modernity” is not a single thing but a way these shifts hang together and become a background to everyday encounter.


T0 – Biological Mediation

  • Applicability: Applicable
  • Analysis:
    • Modernity radically reshapes the immediate bodily environment: dense cities, artificial lighting, noise, pollution, sedentary work, and altered sleep cycles change basic sensory and metabolic conditions.
    • Medical advances and public health (vaccination, antibiotics, sanitation, surgery) modify life expectancy, infant mortality, and chronic illness, which in turn change how life cycles feel and are planned.
    • New food systems (industrial agriculture, processed foods, global supply chains) alter nutrition, exposure to toxins, and rhythms of hunger and satiety.
    • Industrial and digital work reorganise movement and posture: repetitive factory labour, office desk work, and screen use all reshape embodiment, fatigue, and bodily awareness.
    • These T0 changes set the stage for new affective baselines (e.g., chronic low-level stress, stimulation overload) that colour what it is like to live in a “modern” world.

T1 – Cognitive Mediation

  • Applicability: Strongly applicable
  • Analysis:
    • Modernity encourages certain cognitive styles: systematic planning, quantification, risk assessment, cost–benefit thinking, and an emphasis on prediction and control.
    • The sense of self is reconfigured toward individualism and reflexivity: people see themselves as projects to be chosen, improved, optimised, often with long-term career and life-planning horizons.
    • Exposure to multiple roles, cultures, and information streams (through migration, media, education) produces more complex identity structures and can create cognitive dissonance or fragmentation.
    • Scientific and technical worldviews teach people to reframe events in terms of mechanisms, probabilities, and systems rather than fate, tradition, or local narratives.
    • The sheer volume and speed of information flows in late modernity (news, social media, notifications) trains attention toward rapid scanning and shallow switching, affecting memory, concentration, and emotional regulation.
    • These patterns make certain experiences “normal” (abstract work, mediated relationships, bureaucratic interactions) that would be extraordinary or impossible in premodern settings.

T2 – Linguistic Mediation

  • Applicability: Strongly applicable
  • Analysis:
    • Modernity itself is a label that societies use to contrast “us” with “them” (the past, “traditional” societies, “the East,” “the primitive”); it is a polemical as well as descriptive term.
    • In Language Insufficiency terms, modernity is highly Fluid: it can mean a period (“since the 18th century”), a style (modernist art), a value system (rational, secular, progressive), or a socio-economic order (capitalist, industrial, bureaucratic). Different authors slide between these quietly.
    • It’s also Contestable: critics and defenders use the same word but point to different aspects—emancipation and progress versus alienation, exploitation, ecological crisis.
    • Pairs like “modern vs traditional” or “modern vs backward” compress complex differences into simple hierarchies, smuggling in a presumption that “modern” is automatically better or more advanced.
    • Talk of “post-modernity” or “late modernity” suggests that we can neatly periodise and step outside the modern, even while our concepts and institutions remain shaped by it—an example of language implying more clarity and control than we actually have.
    • At the most global scale (“the meaning of modernity,” “the modern condition”), we approach an Effectiveness Horizon: the term feels weighty but becomes vague; people resort to sweeping metaphors (disenchantment, liquefaction, acceleration) whose exact content is hard to pin down.
    • First-person experiences of being “overwhelmed by modern life,” “liberated by modern options,” or “disconnected in modern society” often have an Ineffable quality: standard clichés don’t quite capture the texture of these lives, even as they gesture at them.

T3 – Social/Technical Mediation

  • Applicability: Strongly applicable
  • Analysis:
    • Modernity is most visible as a mesh of institutions: nation-states, markets, bureaucracies, public schools, hospitals, prisons, armies, scientific organisations, corporations, NGOs.
    • These institutions standardise time (clocks, schedules), space (borders, property lines, zoning), identity (passports, ID numbers), and value (money, statistics, rankings) so that encounters become predictable and governable across large scales.
    • Technologies—steam engines, electricity, mass transport, broadcasting, computing, the internet, AI—are both products and drivers of modernity. They make possible new encounter-forms (remote work, global real-time communication, mass surveillance).
    • Urbanisation concentrates people into large, heterogeneous populations, which reconfigures social networks, anonymity, solidarity, and conflict; everyday encounters become more mediated by rules, signage, and digital systems than by face-to-face custom.
    • Capitalist production and consumption patterns organise much of life around work, income, and markets; the rhythms of the factory, office, and platform economy structure when and how people interact, rest, and move.
    • Modern governance uses statistics, censuses, and models to “see” and manage populations; this makes certain aspects of life legible (employment, crime, disease) while leaving others under- or uncounted (informal care, undocumented work, emotional labour).
    • Counter-movements (romanticism, traditionalism, environmentalism, decolonial and Indigenous resurgence, slow-living and anti-consumerist practices) can be read as attempts to renegotiate or resist specific modern mediations rather than simply reject “modernity” as a whole.

Limits & failure modes

  • Language insufficiency notes
    • Modernity bundles together time (a historical era), structure (a type of society), and value (being “up to date”). This makes the term rhetorically powerful but analytically slippery: it’s easy to smuggle evaluations into what sound like neutral descriptions.
    • Because the concept is so broad, discussions often conflate distinct issues—technology, capitalism, secularisation, colonialism, individualism, bureaucracy—under one word, obscuring which mechanisms are actually at work.
    • Experiences of living in “modern times” (speed, fragmentation, choice, precariousness, possibility) often outrun our stock phrases; people lean on recurring complaints (“too fast,” “too shallow,” “too lonely”) that only partially capture what it’s like.
  • Missing tiers / blind spots
    • This sketch doesn’t adjudicate between different theories of modernity (Marxist, Weberian, postcolonial, systems-theoretic, etc.); it treats them as emphasising different mediational strands.
    • It’s centred on Euro-Atlantic narratives; “multiple modernities” and non-Western trajectories (where “modern” elements mix with older forms in hybrid ways) would need a richer T3 treatment.
    • The analysis underplays ecological dimensions: industrial modernity’s dependence on fossil fuels, large-scale extraction, and waste has massive implications for how future encounters will be structured.
    • Finally, because we are ourselves situated in what we call modernity, our conceptual vantage is limited; any map we draw is partly an artefact of the very mediations we’re trying to analyse.

When “Advanced” Means Genocide: A Case Study in Linguistic Implosion

This post draws on themes from my upcoming book, A Language Insufficiency Hypothesis. The transcript below is taken from a publicly available exchange, which you can view here. Consider it Exhibit A in language’s ongoing failure to bear the weight of meaning.

Transcript:

KK: Konstantin Kisin
DFW: Deborah Frances-White

KK: I’m saying we were technologically more advanced.
DFW: So you’re saying we’re superior to Australian Aboriginals?
KK: That’s quite the opposite of what I’m saying. I’m not saying we were superior, I’m saying we were technologically more advanced.
DFW: So, how is that the opposite?
KK: Superior implies a moral quality. I’m not making any moral implication. You seem to be, but what I’m saying is…
DFW: I think most people would hear it that way.
KK: No.
DFW: Again, you’re a very intelligent man. How would most people hear that?
KK: Most people would hear what I’m saying for what I’m saying, which is…
DFW: I don’t think they would.
KK: You seem to get quite heated about this, which is completely unnecessary.
DFW: Um…
KK: You think it’s necessary?
DFW: I’m a bit stunned by what you’re implying.
KK: No, you’re acting in a kind of passive aggressive way which indicates that you’re not happy…
DFW: I genuinely… I’m being 100% authentic. My visceral reaction to a white man sitting and saying to me, “And why were we able to commit genocide on them?” and then just pausing—
KK: Yes.
DFW: …is very visceral to me.
KK: Well, let’s go back. First of all, it’s interesting that you brought up my skin colour because I thought that was the exact opposite of the point you’re trying to make in the book.

Audio: NotebookLM podcast on this topic.

The Language Insufficiency Hypothesis begins with this premise: language is not merely flawed, it is structurally inadequate for mediating complex, layered realities – especially those laced with power, morality, and history. This transcript is not a debate. It is a linguistic trench war in which every utterance is laced with shrapnel, and each side thinks they’re defending reason.

Let’s pull a few of the shell casings from the mud.

KK attempts to offer a dry, neutral descriptor. DFW hears supremacist teleology. Why? Because “advanced” is culturally radioactive. It doesn’t merely denote a technical state—it connotes a ladder, with someone inevitably on the bottom rung.

When language carries historical residue, neutrality is a delusion. Words don’t just mean. They echo.

KK is making a semantic distinction. DFW hears a moral claim. Both are right. And both are talking past one another, because language is attempting to cleave affect from description, and it simply can’t.

KK’s insistence—“I’m not saying we’re superior”—is a textbook example of denotative desperation. He believes clarification will rescue intent. But as any linguist (or postcolonial theorist) will tell you: intent does not sterilise implication.

Language cannot be laundered by explanation. Once spoken, words belong to context, not intention.

KK thinks he’s holding a scalpel. DFW hears a cudgel. And here we are.

This is where the wheels come off. KK argues from semantic specificity. DFW argues from sociolinguistic reception. It’s Saussure versus the TikTok algorithm. Neither will win.

Communication disintegrates not because anyone is lying, but because they are playing incompatible games with the same tokens.

DFW’s invocation of “a white man” is not a derailment—it’s the inevitable endpoint of a system where words no longer float free but are yoked to their utterer. This is the moment the failure of language becomes a failure of interlocution. Argument collapses into indexical entrapment.

At this point, you’re no longer debating ideas. You’re defending your right to use certain words at all.

Which brings us to the final breakdown.

KK: I am making a logical distinction.
DFW: I am having a visceral reaction.

The failure isn’t moral. It isn’t historical. It’s grammatical. One is operating in a truth-function logic game. The other is reacting within a trauma-informed, socially indexed register. These are grammars that do not overlap.

If this brief and brutal dialogue proves anything, it’s this: you cannot extract meaning cleanly from words when the words themselves are sponges for history, hierarchy, and harm. The moment we ask language to do too much—to carry precision, affect, ethics, and identity—it folds in on itself.

And that, dear reader, is precisely the argument of A Language Insufficiency Hypothesis: that meaning does not reside in words, and never has. It lives in the gaps, the silences, the misfires. That’s where the truth—whatever’s left of it—might be hiding.

Follow the wreckage. That’s where the signal lives.

Semantic Drift: When Language Outruns the Science

Science has a language problem. Not a lack of it – if anything, a surfeit. But words, unlike test tubes, do not stay sterile. They evolve, mutate, and metastasise. They get borrowed, bent, misused, and misremembered. And when the public discourse gets hold of them, particularly on platforms like TikTok, it’s the language that gets top billing. The science? Second lead, if it’s lucky.

Semantic drift is at the centre of this: the gradual shift in meaning of a word or phrase over time. It’s how “literally” came to mean “figuratively,” how “organic” went from “carbon-based” to “morally superior,” and how “theory” in science means robust explanatory framework but in the public square means vague guess with no homework.

In short, semantic drift lets rhetoric masquerade as reason. Once a word acquires enough connotation, you can deploy it like a spell. No need to define your terms when the vibe will do.

Audio: NotebookLM podcast on this topic.

When “Vitamin” No Longer Means Vitamin

Take the word vitamin. It sounds objective. Authoritative. Something codified in the genetic commandments of all living things. (reference)

But it isn’t.

A vitamin is simply a substance that an organism needs but cannot synthesise internally, and must obtain through its diet. That’s it. It’s a functional definition, not a chemical one.

So:

  • Vitamin C is a vitamin for humans, but not for dogs, cats, or goats. They make their own. We lost the gene. Tough luck.
  • Vitamin D, meanwhile, isn’t a vitamin at all. It’s a hormone, synthesised when sunlight hits your skin. Its vitamin status is a historical relic – named before we knew better, and now marketed too profitably to correct.

But in the land of TikTok and supplement shelves, these nuances evaporate. “Vitamin” has drifted from scientific designation to halo term – a linguistic fig leaf draped over everything from snake oil to ultraviolet-induced steroidogenesis.

The Rhetorical Sleight of Hand

This linguistic slippage is precisely what allows the rhetorical shenanigans to thrive.

In one video, a bloke claims a burger left out for 151 days neither moulds nor decays, and therefore, “nature won’t touch it.” From there, he leaps (with Olympic disregard for coherence) into talk of sugar spikes, mood swings, and “metabolic chaos.” You can almost hear the conspiratorial music rising.

The science here is, let’s be generous, circumstantial. But the language? Oh, the language is airtight.

Words like “processed,” “chemical,” and “natural” are deployed like moral verdicts, not descriptive categories. The implication isn’t argued – it’s assumed, because the semantics have been doing quiet groundwork for years. “Natural” = good. “Chemical” = bad. “Vitamin” = necessary. “Addiction” = no agency.

By the time the viewer blinks, they’re nodding along to a story told by words in costume, not facts in context.

The Linguistic Metabolism of Misunderstanding

This is why semantic drift isn’t just an academic curiosity – it’s a vector. A vector by which misinformation spreads, not through outright falsehood, but through weaponised ambiguity.

A term like “sugar crash” sounds scientific. It even maps onto a real physiological process: postprandial hypoglycaemia. But when yoked to vague claims about mood, willpower, and “chemical hijacking,” it becomes a meme with lab coat cosplay. And the science, if mentioned at all, is there merely to decorate the argument, not drive it.

That’s the crux of my forthcoming book, The Language Insufficiency Hypothesis: that our inherited languages, designed for trade, prayer, and gossip, are woefully ill-equipped for modern scientific clarity. They lag behind our knowledge, and worse, they often distort it.

Words arrive first. Definitions come limping after.

In Closing: You Are What You Consume (Linguistically)

The real problem isn’t that TikTokers get the science wrong. The problem is that they get the words right – right enough to slip past your critical filters. Rhetoric wears the lab coat. Logic gets left in the locker room.

If vitamin C is a vitamin only for some species, and vitamin D isn’t a vitamin at all, then what else are we mislabelling in the great nutritional theatre? What other linguistic zombies are still wandering the scientific lexicon?

Language may be the best tool we have, but don’t mistake it for a mirror. It’s a carnival funhouse – distorting, framing, and reflecting what we expect to see. And until we fix that, science will keep playing second fiddle to the words pretending to explain it.

Schrödinger’s Weasel

The cat is out. And it has been replaced by a weasel. Yes, dear reader, you’ve entered the strange, paradoxical world of Schrödinger’s Weasel, a universe where words drift in a haze of semantic uncertainty, their meanings ambushed and reshaped by whoever gets there first.

Now, you may be asking yourself, “Haven’t we been here before?” Both yes and no. While the phenomenon of weasel words—terms that suck out all substance from a statement, leaving behind a polite but vacuous husk—has been dissected and discussed at length, there’s a new creature on the scene. Inspired by Essentially Contested Concepts, W.B. Gallie’s landmark essay from 1956, and John Kekes’ counterpoint in A Reconsideration, I find myself stepping further into the semantic thicket. I’ve long held a grudge against weasel words, but Schrödinger words are their sinister cousins, capable of quantum linguistic acrobatics.

To understand Schrödinger words, we need to get cosy with a little quantum mechanics. Think of a Schrödinger word as a linguistic particle in a state of superposition. This isn’t the lazy drift of semantic shift—words that gently evolve over centuries, shaped by the ebb and flow of time and culture. No, these Schrödinger words behave more like quantum particles: observed from one angle, they mean one thing; from another, something completely different. They represent a political twilight zone, meanings oscillating between utopia and dystopia, refracted through the eye of the ideological beholder.

Take socialism, that darling of the Left and bugbear of the Right. To someone on the American political left, socialism conjures visions of Scandinavia’s welfare state, a society that looks after its people, where healthcare and education are universal rights. But say socialism to someone on the right, and you might find yourself facing the ghost of Stalin’s Soviet Union – gulags, oppression, the Cold War spectre of forced equality. The same word, but two worlds apart. This isn’t simply a “difference of opinion.” This is linguistic quantum mechanics at work, where meaning is determined by the observer’s political perspective. In fact, in the case of Schrödinger words, the observer’s interpretation not only reveals meaning but can be weaponised to change it, on the fly, at a whim.

What, then, is a Schrödinger word? Unlike the classic weasel words, which diffuse responsibility (“some say”), Schrödinger words don’t just obscure meaning; they provoke it and elicit strong, polarised responses by oscillating between two definitions. They are meaning-shifters, intentionally wielded to provoke division and rally allegiances. They serve as shibboleths and dog whistles, coded signals that change as they cross ideological boundaries. They are the linguistic weasels, alive and dead in the political discourse, simultaneously uniting and dividing depending on the audience. These words are spoken with the ease of conventional language, yet they pack a quantum punch, morphing as they interact with the listener’s biases.

Consider woke, a term once employed as a rallying cry for awareness and social justice. Today, its mere utterance can either sanctify or vilify. The ideological Left may still use it with pride – a banner for the politically conscious. But to the Right, woke has become a pejorative, shorthand for zealous moralism and unwelcome change. In the blink of an eye, woke transforms from a badge of honour into an accusation, from an earnest call to action into a threat. Its meaning is suspended in ambiguity, but that ambiguity is precisely what makes it effective. No one can agree on what woke “really means” anymore, and that’s the point. It’s not merely contested; it’s an arena, a battlefield.

What of fascism, another Schrödinger word, swirling in a storm of contradictory meanings? For some, it’s the historical spectre of jackboots, propaganda, and the violence of Hitler and Mussolini. For others, it’s a term of derision for any political stance perceived as overly authoritarian. It can mean militarism and far-right nationalism, or it can simply signify any overreach of government control, depending on who’s shouting. The Left may wield it to paint images of encroaching authoritarianism; the Right might invoke it to point fingers at the “thought police” of progressive culture. Fascism, once specific and terrifying, has been pulled and stretched into meaninglessness, weaponised to instil fear in diametrically opposed directions.

Schrödinger’s Weasel, then, is more than a linguistic curiosity. It’s a testament to the insidious power of language in shaping – and distorting – reality. By existing in a state of perpetual ambiguity, Schrödinger words serve as instruments of division. They are linguistic magic tricks, elusive yet profoundly effective, capturing not just the breadth of ideological differences but the emotional intensity they provoke. They are not innocent or neutral; they are ideological tools, words stripped of stable meaning and retooled for a moment’s political convenience.

Gallie’s notion of essentially contested concepts allows us to see how words like justice, democracy, and freedom have long been arenas of ideological struggle, their definitions tugged by factions seeking to claim the moral high ground. But Schrödinger words go further – they’re not just arenas but shifting shadows, their meanings purposefully hazy, with no intention of arriving at a universally accepted definition. They are not debated in the spirit of mutual understanding but deployed to deepen the rift between competing sides. Kekes’ critique in A Reconsideration touches on this, suggesting that the contestation of terms like freedom and democracy still strives for some level of shared understanding. Schrödinger words, by contrast, live in the gap, forever contested, forever unresolved, their ambiguity cherished rather than lamented.

Ultimately, in the realm of Schrödinger’s Weasel, language becomes a battlefield where words are held hostage to polarising meanings. Their superposition is deliberate, their ambiguity cultivated. In this brave new lexicon, we see language not as a bridge of understanding but as a weapon of mass disinformation – a trick with all the precision of quantum mechanics but none of the accountability. Whether this ambiguity will one day collapse into meaning, as particles do when measured, remains uncertain. Until then, Schrödinger’s Weasel prowls, its meaning indeterminate, serving whichever agenda is quickest to claim it.