Book Title: Shekharchandra Jain Abhinandan Granth Smrutiyo ke Vatayan Se
Author(s): Shekharchandra Jain Abhinandan Samiti
Publisher: Shekharchandra Jain Abhinandan Samiti

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Page 546
________________ SYADVADA AND STATISTICS 2. Syadvada and Manifold Nature The Jain Philosophy believes that a real thing has got a manifold nature and all the judgements are relative and are true under certain conditions. The knowledge of reality is possible only when the absolutistic attitude is denied. A thing is existent with respect to some set of "substance" "space" "time" and "attribute". The same thing is non-existent with respect to some other quadruple set. For the complete knowledge of a thing relative to a quadruple set can be discussed with the help of seven division of Syadvada. The seven divisions are as follows: (1) Syadasti The thing exists. (2) Syadanasti The thing does not exist. (3) Syadastinasti The thing exists and does not exist. (4) Syadavaktyva The existence of the thing is in-expressible. (5) Syadastiavaktvya The thing exists and is inexpressible. 501 (6) Syadnastiavaktvya The thing does not exist and is inexpressible. (7) Syadastinastiavaktvya The thing exists. does not exist and is inexpressible. Out of these seven divisions Syadasti. Syasanasti and Syadavaktvya are independent divisions while the remaining four divisions are the combinations of the -three independent divisions. The fourth division is quite important for the notion of probability is used in statistics. 3. Syadavaktvya and Probability When the first and second divisions of Syadvada cannot be stated simulteneously for any object then the nature of that object becomes Avakatvya. Jain Acharyas discussed only the qualitative nature of Avakatvya and did not encourage the quantitative aspect. The quantitative aspect can be termed as probability under certain conditions. In probability theory we study the uncertainty of random experiments. The conditions for a random experiment are as follows: (i) For each experiment, all the possible outcomes are known in advance. (ii) In any performance of the experiment uncertainty prevails about the outcome of the performance. (iii) The experiment can be repeated under identical conditions. In light of these condtions let us discuss situations where Syadavakatvya can

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