— Ch. 1 · Defining The Unknown —
Uncertainty.
~3 min read · Ch. 1 of 6
Imagine a weather forecast that predicts rain with 10% probability. A business owner plans an outdoor event worth $100,000 if it stays dry. If the rain falls, they lose everything. This scenario illustrates uncertainty in its purest form: a situation where results are unknown and cannot be precisely described. Specialists distinguish this state from risk, which involves known probabilities for outcomes. In decision theory, uncertainty describes a lack of certainty regarding existing states, future possibilities, or stakeholder values. It arises when information is imperfect, incomplete, or entirely absent. Fields like insurance, medicine, and psychology all grapple with these gaps in knowledge daily. The core definition hinges on what remains impossible to calculate about options available to a decision maker.
Economic And Philosophical Roots
Frank Knight published his groundbreaking work in 1921, distinguishing between measurable risks and immeasurable uncertainties. He argued that while risks can be insured because their probability distributions are defined, true uncertainties cannot be calculated or predicted. This concept became known as Knightian uncertainty. Ancient Greek philosophers like Pyrrho embraced similar ideas centuries earlier, founding schools of skepticism that questioned whether anything could truly be known. These early thinkers introduced terms like aporia and acatalepsy to describe states of doubt. Modern philosopher William MacAskill now explores moral uncertainty, asking how people should act when no single ethical theory provides clear answers. The historical thread connects ancient skepticism to modern economic theory through the shared struggle to define the limits of human knowledge.Quantum Mechanics And Physics
At the subatomic level, particles behave according to rules that defy classical intuition. Werner Heisenberg formulated a principle stating that an observer can never simultaneously know both the exact position and velocity of a particle. This limitation is not merely a lack of better tools but appears to be a fundamental property of nature itself. Some physicists argue hidden variables might exist to explain these gaps more precisely, yet the debate continues. In quantum mechanics, this uncertainty forms the basis for understanding how matter behaves at its smallest scales. It suggests that certain facts simply do not exist until measured, rather than being unknown due to ignorance. The universe may operate on principles where absolute certainty remains impossible by design.