Librería: BookOutlet, St. Catharines, ON, Canada
EUR 6,20
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. Paperback. Publisher overstock, may contain remainder mark on edge.
Publicado por Quercus Publishing, United Kingdom, London, 2024
ISBN 10: 1529408695 ISBN 13: 9781529408690
Idioma: Inglés
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 5,19
Convertir monedaCantidad disponible: 5 disponibles
Añadir al carritoPaperback. Condición: Very Good. A Waterstones Best Popular Science Book of 2023 'Delightfully clear and vivid to read.A splendid book! Philip Pullman 'Absolutely fascinating' James O'Brien 'An exceptional book - readable, funny and more needed than ever' Dr Chris van Tulleken, bestselling author of Ultra-Processed People Are you more likely to become a professional footballer if your surname is Ball? How can you be one hundred per cent sure you will win a bet? Why did so many Pompeiians stay put while Mount Vesuvius was erupting? How do you prevent a nuclear war? Ever since the dawn of human civilisation, we have been trying to make predictions about what's in store for us. We do this on a personal level, so that we can get on with our lives efficiently (should I hang my laundry out to dry, or will it rain?). But we also have to predict on a much larger scale, often for the good of our broader society (how can we spot economic downturns or prevent terrorist attacks?). For just as long, we have been getting it wrong. From religious oracles to weather forecasters, and from politicians to economists, we are subjected to poor predictions all the time. Our job is to separate the good from the bad. Unfortunately, the foibles of our own biology - the biases that ultimately make us human - can let us down when it comes to making rational inferences about the world around us. And that can have disastrous consequences. How to Expect the Unexpected will teach you how and why predictions go wrong, help you to spot phony forecasts and give you a better chance of getting your own predictions correct. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 11,87
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Añadir al carritoCondición: New.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 9,81
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Añadir al carritoCondición: New.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 16,90
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Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 13,87
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Añadir al carritoCondición: New. In.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 13,56
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 372.
Publicado por Quercus (Quercus)
Idioma: Inglés
Librería: Books in my Basket, New Delhi, India
EUR 10,39
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoSoft cover. Condición: New. ISBN:9781529408690 N.A.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 12,50
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Añadir al carritoPaperback. Condición: Brand New. 448 pages. 5.04x1.34x7.56 inches. In Stock.
Librería: Mooney's bookstore, Den Helder, Holanda
EUR 28,14
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Añadir al carritoCondición: Very good.
Librería: medimops, Berlin, Alemania
EUR 10,88
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Añadir al carritoCondición: acceptable. Ausreichend/Acceptable: Exemplar mit vollständigem Text und sämtlichen Abbildungen oder Karten. Schmutztitel oder Vorsatz können fehlen. Einband bzw. Schutzumschlag weisen unter Umständen starke Gebrauchsspuren auf. / Describes a book or dust jacket that has the complete text pages (including those with maps or plates) but may lack endpapers, half-title, etc. (which must be noted). Binding, dust jacket (if any), etc may also be worn.
Publicado por Quercus Publishing Aug 2024, 2024
ISBN 10: 1529408695 ISBN 13: 9781529408690
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 14,74
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware - A fascinating exploration of how we can make better, accessible, mathematically-informed predictions about the world around us.