The age of bullshit

Everything that can be thought at all can be thought clearly. Everything that can be said can be said clearly.
―Ludwig Wittgenstein, Tractatus Logico-Philosophicus

When Princeton professor of philosophy Harry Frankfurt published his celebrated book, On Bullshit, he gave a certain pungent Anglo-Saxonism its intellectual debut. Until then, the term had largely been confined to bar stools, schoolyards, and frustrated dinner conversations. Frankfurt's achievement was to locate a moral and philosophical distinction: bullshit, he said, is not the same as lying. The liar knows the truth and seeks to conceal it. The bullshitter, by contrast, is indifferent to the truth altogether. His (or her) concern is not to mislead, but to impress.

This, it turns out, is an indispensable insight into the modern condition.

Public language today is riddled with what might charitably be called bullshit. It is a kind of lexical smog - phrases that hang in the air long after meaning has departed. Bullshit afflicts governments, corporations, universities, non-goverment organisations, and yes, media commentary itself. It is global, non-partisan, and not always well-intentioned. Bullshit speaks in the dialect of "stakeholders," "frameworks," and "outcomes." It is allergic to verbs. It is addicted to means rather than ends. And it thrives where precision goes to die.

George Orwell, writing in 1946, saw it coming. In Politics and the English Language, he diagnosed how political language "is designed to make lies sound truthful and murder respectable, and to give an appearance of solidity to pure wind." That was in the age of Stalinism and the British Empire. The phrase "collateral damage" had yet to be coined. No one had yet spoken of "engaging with key learnings." The modern locutions are less brutal, but no less evasive.

Orwell was particularly attentive to how abstract language serves to obscure responsibility. Consider the passive voice: mistakes are made, structures are inadequate, lessons are being learned. No one is at fault. Everyone is participating. The machine whirs on.

Today's equivalent is the managerial gerund. Governments do not do; they are "delivering." Companies are not making profits; they are "enhancing shareholder value." A failure is "an opportunity for systems improvement." A scandal becomes "a moment for reflection." The aim, invariably, is to sound as if something is happening, preferably in a way that defers accountability until the matter is forgotten.

It is no accident that meaningless linguistic constructions flourish in technocratic environments. The language of modern public life borrows liberally from business schools, consultancy firms, and HR departments - institutions whose primary outputs are meetings and documents. Here, we "pivot", "leverage", and "co-create." We don't say what we think; we "surface perspectives." Nothing is ever wrong, only "sub-optimal." The goal is not clarity but defensibility - a form of lexical risk management.

The philosopher J.L. Austin, whose work on speech acts still underpins modern linguistics, argued that language is not merely descriptive but performative. To say something is, in many contexts, to do something. If I say "I apologise," I have not merely reported my remorse; I have enacted it. Bullshit operates on this same principle but with diminished stakes: it is the simulation of performance. It gestures at seriousness without committing to it.

Take, for example, the phrase "We're committed to evidence-based policy." A noble idea. But what follows is often a cascade of jargon-laden initiatives - "multi-stakeholder consultations," "capability reviews," "robust evaluative mechanisms" - in which the evidence is both amorphous and oddly beside the point. The phrase becomes a talisman, not a method.

Or consider climate change, which in language terms has evolved from denial to euphemism. We are now in an age of "net-zero pathways," "technology-neutral transitions," and "decarbonisation opportunities." The Earth may be warming, but our prose remains stone-cold dead.

Artificial intelligence presents a more recent case. Policymakers solemnly declare the need for "responsible AI frameworks" and "ethical guardrails," while simultaneously investing in autonomous weapons systems and surveillance platforms. Here again, the language obscures the underlying tension: we wish to appear cautious while moving rapidly. The result is language that accelerates nothing and clarifies less.