Feb 4, 2025

Forefathers of Probability Theory !

Syādvāda and modern probability theory share some philosophical underpinnings in their approach to uncertainty and multiple possibilities. Syādvāda's emphasis on conditional and relative viewpoints offers an interesting historical perspective on the development of ideas related to probability and uncertainty.

Syādvāda, also known as the theory of conditional predication, is a fundamental concept in Jain philosophy that bears some intriguing similarities to modern concepts of probability.

Conditional Prediction system

Syādvāda is a theory of epistemological relativism that forms the basis of Jain logic. The term "syād" in Sanskrit means "may be" or "perhaps," and in the context of syādvāda, it translates to "in some ways" or "from a perspective". This theory asserts that reality is complex and multifaceted, and no single proposition can fully express its nature.

Saptabhangi: The Seven-fold Predication

The core of syādvāda is manifested in the process of Saptabhangi, or seven-fold prediction. This approach examines reality from seven different conditional and relative viewpoints:

  • Syādasti (maybe, it is)
  • Syānnāsti (maybe, it is not)
  • Syādasti nāsti (maybe, it is, and it is not)
  • Syādavaktavya (maybe, it is indeterminate)
  • Syādasti avaktavya (maybe, it is and is indeterminate)
  • Syānnāsti avaktavya (maybe, it is not and is indeterminate)
  • Syādasti nāsti avaktavya (maybe, it is, is not, and is indeterminate)

Connections to Probability

Syādvāda shares conceptual similarities with Probability theory:

  • Non-absolutism: Like probability theory, syādvāda acknowledges uncertainty and rejects absolute statements. However, it asserts that there are only seven categories necessary and also sufficient to exhaust all possibilities of knowledge!
  • Conditional nature: Both syādvāda and probability deal with conditional statements and chances
  • Multiple outcomes: Syādvāda's seven-fold prediction can be seen as analogous to considering multiple possible outcomes in probability.
  • Indeterminacy: The fourth category of syādvāda, "avaktavya" (indeterminate), has been interpreted by some scholars as having relevance to the concept of probability.

An Illustrative Example

Consider the tossing of a coin:

  • "It is head" (now) - Syādasti
  • "It is not-head" (on another occasion) - Syānnāsti
  • "It is, and it is not" - Syādasti nāsti
  • "It is indeterminate" (before the toss) - Syādavaktavya

This example demonstrates how syādvāda's categories can be applied to a situation involving uncertainty, similar to how we might approach it using probability theory.

Historical Significance and Modern Relevance

Syādvāda was well-developed by the 6th century AD and received significant attention in medieval Indian logic. It is believed that it was based on astrological principles of Maharishi Parashara - the father of ancient astrology.