How Western probability models dominate modern systems, obscuring indigenous and non-linear epistemologies
Original framing: “Probability underlies much of the modern world – an engineering professor explains how it actually works” — The Conversation - Global
The original framing omits the historical parallels between probability and colonial epistemologies, the role of indigenous knowledge systems in risk assessment, and the structural biases embedded in probabilistic models. It also ignores the ways in which marginalized communities have developed alternative frameworks for uncertainty, such as African divination systems or Aboriginal fire management practices. The omission of these perspectives reinforces a Eurocentric view of knowledge production.
Medium structural omission detected in mainstream coverage.
This narrative is produced by academic institutions and media platforms that uphold Western scientific hegemony, serving a global elite invested in maintaining probabilistic frameworks as the dominant epistemic paradigm. The framing obscures the ways in which probability is weaponized in surveillance capitalism, military logistics, and financial derivatives, while marginalizing indigenous and non-linear ways of knowing. The power structure benefits from presenting probability as objective, thereby legitimizing its use in oppressive systems.
The development of probability theory in the West is deeply tied to colonial projects, such as insurance and actuarial science, which were used to manage risk in slave trade and colonial expansion. This history is often erased in contemporary discussions, which present probability as a neutral, universal tool. Recognizing this history is crucial to understanding its current applications in AI and finance.
The dominance of Western probability models in modern systems reflects a broader epistemic colonialism that marginalizes indigenous and non-linear ways of knowing.