The Tower XVI ⇄ Mars (Pe)
From Oracle Bones to Monte Carlo: The 4,000-Year Continuum of Algorithmic Uncertainty
Tracing how human prediction evolved from thermodynamic bone-cracking and cuneiform liver tables to Bayesian simulation.
Drawing on the epistemological framework of HarvardX's PredictionX initiative, this monograph demonstrates that ancient divination traditions were humanity's original computational prototypes. We trace the structural continuum from Shang pyromancy and Babylonian extispicy to Leibniz's binary I Ching and Stanislaw Ulam's Monte Carlo methods at Los Alamos.
I. The Taxonomies of Pre-Scientific Forecasting
s Harvard astrophysicist Alyssa Goodman articulates in the PredictionX curriculum, human attempts to predict the future have never been mere arbitrary superstition. Rather, every civilization constructed formal systems characterized by specific physical substrates, algorithmic randomizers, and institutional interpretation protocols.
Whether through the thermal stress fracturing of bovine scapulae in Shang China (as excavated by Rowan Flad at Anyang), the anatomical inspection of sheep livers in Babylon using cuneiform clay teaching models, or the 256-state binary permutation of Yoruba Ifá, humanity sought to extract signal from apparent stochastic noise.
II. From Fixed Fate to Conditional Vectors
A crucial conceptual axis identified in the history of prediction is the distinction between deterministic fate and conditional advisory heuristics. While the Greek tragic tradition (typified by the Delphic Oracle's ambiguous decrees to Croesus or Oedipus) often conceptualized destiny as an inescapable iron cage, Mesopotamian and Chinese mantic traditions treated omens as warning vectors.
In Mesopotamia, if an ominous sign appeared on the left lobe of the sacrificial liver, the king did not surrender to despair; instead, the court enacted a namburbi ritual—an explicit apotropaic counter-measure designed to avert the unfavorable trajectory. Divination was an active risk-management protocol, not a passive fatalistic sentence.
III. The Combinatorial Spark: Leibniz, Fermat, and Monte Carlo
The direct genealogy connecting divination to modern computer science crystallized in 1703, when Gottfried Wilhelm Leibniz received a diagram of the 64 I Ching hexagrams from the Jesuit missionary Joachim Bouvet. Leibniz immediately recognized that the broken (Yin, 0) and unbroken (Yang, 1) lines represented the complete base-2 binary arithmetic that would later power electronic computing.
In the 20th century, when Stanislaw Ulam and John von Neumann were designing thermonuclear calculations at Los Alamos, Ulam's breakthrough for the Monte Carlo method arose while playing solitaire during an illness: calculating probabilities not by deterministic algebra, but by running repeated stochastic trials. The modern climate simulation, epidemiology model, and financial risk engine are the direct heirs of humanity's ancient mantic impulse: harnessing controlled randomness to illuminate the terrain of possibility.
Scholarly Citations & Epistemic ApparatusAPA 7th Edition
The foundational online curriculum and taxonomy mapping pre-scientific prediction systems to modern simulation.
Archaeological analysis of pyromancy and authority in the Shang Dynasty.
The landmark paper introducing binary arithmetic, inspired by Bouvet's transmission of the Yijing.
The pioneering publication formalizing stochastic computational simulation.