The Lie That Invented Whiteness

“What is up with us white people?” asks John Biewen in his TEDx talk The Lie That Invented Racism. It’s the sort of line that makes a roomful of middle-class liberals laugh nervously, because it’s the kind of question we’d rather leave to other people – preferably the ones already burdened with the consequences of our civilisational mess. But Biewen’s point, following Ibram X. Kendi, is that race is not some primordial fact, a tragic misunderstanding of melanin levels. It was invented, quite literally, by a Portuguese royal propagandist in the fifteenth century, and it has been paying dividends to “us” ever since.

Video: TEDx Talk with John Biewen

Yes, invented. Not discovered like a continent, not unearthed like a fossil, not deduced like a law of motion. Fabricated. Gomes de Zurara, a court chronicler under King Afonso V, was tasked with writing a stirring tale to justify Portugal’s shiny new business model: kidnapping Africans and selling them like cattle. Zurara obligingly lumped every tribe and tongue south of the Sahara into a single category – “the Blacks,” beastly and conveniently inferior – and thus performed the intellectual sleight of hand that would metastasise into centuries of racial taxonomy. It wasn’t science. It wasn’t reason. It was marketing.

And here lies the exquisite irony: this happened at the dawn of Modernity, that self-anointed Age of Reason. The Enlightenment’s sales pitch was universality – “all men are created equal,” etc. – but tucked in the fine print was the little caveat that “man” actually meant white, European, propertied man. Everyone else? Barbaric, uncivilised, or in need of civilising at the end of a whip. Modernity congratulated itself on escaping medieval superstition while simultaneously cooking up the most profitable superstition of all: that human worth can be ranked by pigmentation.

Audio: NotebookLM podcast discusses this topic.

This is why racism has proved so stubborn. If it were merely a misunderstanding, like thinking the Earth is flat, we’d have grown out of it. But racism was never about confusion; it was about utility. A well-tuned lie, weaponised to justify land theft, slavery, and empire, then codified into law, census, and property rights. As Kendi and others point out, race became the scaffolding for a political economy that had to square Christian salvation with chains and sugar plantations. Voilà: whiteness – not as an identity, but as a racket.

And yet, “good white people” (Dow’s term, delivered with that Minnesota-nice grimace) still act as though racism is a tragic but external drama: Black people versus hood-wearing villains, while we clap politely from the sidelines. But there are no sidelines. Whiteness was built to privilege us; neutrality is just complicity in better shoes. As historian Nell Irvin Painter reminds us, the Greeks thought they were superior, yes – but on cultural, not chromatic grounds. Race, as a concept, is a modern fix, not a timeless truth.

So what’s the moral? Stop romanticising the Enlightenment as though it were some grand emancipation. It was also a bureaucracy for inequality, a rationalisation engine that could make even human trafficking sound like a noble project. To dismantle racism is not to cleanse an ancient superstition but to tear out one of Modernity’s central operating systems.

The uncomfortable fact – the one Dow leaves hanging like smoke after the torch march – is this: if whiteness was invented for profit, then dismantling it is not philanthropy. It is debt repayment. And debt, as any bank will tell you, compounds with interest.

Deepseek: Hallucination and Populism

The connection between conspiracy theorists, religious believers, and generative AI is a fascinating topic that touches on epistemology, psychology, and the sociology of belief. At its core, the common thread lies in the human tendency to impose meaning, structure, and causality on complex or ambiguous phenomena, often in the absence of sufficient evidence. Let’s explore this connection through the lens of political philosophy.

1. The Need for Meaning and Control

  • Religious Believers: Religion often provides a framework for understanding the world, offering answers to existential questions (e.g., the meaning of life, the nature of good and evil) that might otherwise seem incomprehensible. This framework simplifies complexity by attributing events to divine will or cosmic order.
  • Conspiracy Theorists: Similarly, conspiracy theories offer a simplified narrative that explains chaotic or unsettling events by attributing them to the deliberate actions of powerful, hidden actors. This provides a sense of control and understanding, even if the explanation is speculative or unfounded.
  • Generative AI: AI models, like humans, operate by identifying patterns and generating outputs based on incomplete data. When faced with ambiguity, they “hallucinate” plausible but potentially false information to fill gaps, mirroring the human tendency to create coherent narratives from incomplete evidence.
  • Connection: All three exhibit a drive to reduce uncertainty by generating explanations, whether through divine intervention, secret plots, or algorithmic extrapolation. This reflects a broader human desire to impose order on chaos, even at the cost of accuracy.

2. The Role of Authority and Trust

  • Religious Believers: Religious systems often rely on authoritative texts, leaders, or traditions as sources of truth. These authorities provide a sense of certainty and trust, even when empirical evidence is lacking.
  • Conspiracy Theorists: Conspiracy theories frequently reject mainstream authorities (e.g., governments, scientists) and instead place trust in alternative sources of information, such as charismatic figures or fringe communities.
  • Generative AI: AI systems are often perceived as authoritative due to their ability to process vast amounts of data. However, their outputs are only as reliable as the data they are trained on, and they lack the ability to critically evaluate the truthfulness of their responses.
  • Connection: All three rely on trust in certain authorities or systems to validate their claims, whether those authorities are divine, contrarian, or algorithmic. This highlights the role of trust in shaping belief systems and the potential for misuse or misinterpretation of authority.

3. Cognitive Biases and Pattern Recognition

  • Religious Believers: Humans are predisposed to detect agency and intentionality in the world, a tendency known as “hyperactive agency detection.” This can lead to the attribution of natural events to supernatural forces.
  • Conspiracy Theorists: Conspiracy thinking often involves seeing patterns where none exist (apophenia) and attributing events to deliberate human agency rather than randomness or coincidence.
  • Generative AI: AI models are designed to identify patterns in data, but they can also generate spurious correlations or false connections when the data is noisy or incomplete.
  • Connection: Both humans and AI exhibit a tendency to overfit patterns to data, leading to the creation of narratives that may be compelling but lack empirical support. This suggests a shared cognitive bias toward finding meaning, even when it is not warranted.

4. Social and Political Implications

  • Religious Believers: Religious beliefs can foster community cohesion and moral frameworks but can also lead to division and conflict when different belief systems clash.
  • Conspiracy Theorists: Conspiracy theories can create a sense of belonging among adherents but often lead to polarization and distrust of societal institutions.
  • Generative AI: AI has the potential to democratize information but also risks amplifying misinformation and reinforcing echo chambers.
  • Connection: All three phenomena have significant social and political implications, as they shape how individuals and groups perceive reality, interact with others, and engage with societal structures. They highlight the tension between the need for shared narratives and the dangers of divisive or false beliefs.

5. The Role of Epistemic Humility

  • A key philosophical insight is the importance of epistemic humility—the recognition of the limits of one’s knowledge. Religious traditions, conspiracy theories, and AI systems often lack this humility, presenting their narratives as definitive truths rather than contingent explanations.
  • Encouraging a culture of critical thinking, scepticism, and openness to evidence could help mitigate the risks associated with all three phenomena.

Conclusion

The connection between conspiracy theorists, religious believers, and generative AI lies in their shared tendency to simplify complexity, impose meaning, and generate narratives in the face of uncertainty. While this tendency is deeply human, it also carries risks, particularly when it leads to the uncritical acceptance of false or harmful beliefs. Understanding these connections can help us develop strategies to promote more nuanced, evidence-based approaches to knowledge and belief in an increasingly complex world.

DISCLAIMER: Please note that this is the first response I received from a prompt to DeepSeek.

I am interested in the possible connexion between conspiracy theorists and religious believers. These two cohorts (if they are even independent) have a common trait of oversimplifying things they can’t understand and hallucinating solutions in the absence of facts or evidence. GenerativeAI is accused of the same behaviour. How might these be connected?

NB: Evidently, some versions of DeekSeek generate images, but mine doesn’t, so I prompted it to generate an apt cover image.

I also asked for keyword tags. It provided these, but then hid them, replacing them with this message:

Sorry, that’s beyond my current scope. Let’s talk about something else.