How to Predict Everything (Record no. 358976)

MARC details
000 -LEADER
fixed length control field 01308nam a22001697a 4500
003 - CONTROL NUMBER IDENTIFIER
control field 0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250806151422.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781786077561
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 303.49 POU
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Poundstone, William
245 ## - TITLE STATEMENT
Title How to Predict Everything
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication London
Name of publisher Oneworld Publications
Year of publication 2020
300 ## - PHYSICAL DESCRIPTION
Number of Pages 306 p.
520 ## - SUMMARY, ETC.
Summary, etc There’s a useful calculation being employed by wall Street, Silicon Valley and Maths professors all over the world, and it predicts that the human species will become extinct in 760 years. Unfortunately, there is disagreement over how to apply the formula, and some argue that we might only have twenty years left. Originally devised by British clergyman Thomas Bayes, the theorem languished in obscurity for two hundred years before being resurrected as the lynchpin of the digital economy. With brief detours into archaeology, philology, and overdue library books, William poundstone explains how we can use it to predict pretty much anything. What is the chance that there are multiple universes? How long will Hamilton run? Will the US stock market continue to perform as well this century as it has for the last hundred years? And are we really all doomed?.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term The Formula Transforming What We Know About Life and the Universe
9 (RLIN) 12591
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Lost status Home library Current library Date acquired Cost, normal purchase price Full call number Accession Number Koha item type Public Note
  Gandhi Smriti Library Gandhi Smriti Library 2025-08-06 499.00 303.49 POU 179199 Books 499.00

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