Chance and Error: The Theory of Evolution

Author:   Marsh Hopkins
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367266219


Pages:   234
Publication Date:   19 February 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Chance and Error: The Theory of Evolution


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Overview

Originally published in 1923 Chance and Error examines the vagaries of chance, and how this is the result of the interference of yes and no. The book basis its examination of chance on the idea of a two-sided coin. The book stipulates that contradictories are head and tail, or yes and no. When the coin is flipped in the air yes normally wins half of the trials, but this includes half of the half that normally go to no. Thus, normally in one quarter of the trials there is an interference of yes and no. From this the chance of any number of heads or tails can be easily calculated, and all results that are attained by more difficult mathematics are secured. The book uses this idea to examine interference of yes and no in everyday life and argues that this causes the variations in everything that goes on around us in nature and in our daily life. This book will be of interest to philosophers of logic, as well as mathematicians.

Full Product Details

Author:   Marsh Hopkins
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.440kg
ISBN:  

9780367266219


ISBN 10:   0367266210
Pages:   234
Publication Date:   19 February 2021
Audience:   General/trade ,  College/higher education ,  General ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Propositions 2. Games Whose Expectation in 0 3. Direct Oberservations 4. Indirect Observations 5. Statistics 6. Target Practice 7. Errors in Three Dimensions 8. Monte Carlo 9. Variable Chance 10. Sorts 11. Miscellaneous Index

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Marsh Hopkins

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