Daniel Kahneman

(Author)

Ruido: Un Fallo En El Juicio Humano / Noise: A Flaw in Human JudgmentHardcover, 7 December 2021

Ruido: Un Fallo En El Juicio Humano / Noise: A Flaw in Human Judgment
Qty
1
Turbo
Ships in 2 - 3 days
In Stock
Free Delivery
Cash on Delivery
15 Days
Free Returns
Secure Checkout
Buy More, Save More
Print Length
416 pages
Language
Spanish
Publisher
Debate
Date Published
7 Dec 2021
ISBN-10
8418006366
ISBN-13
9788418006364

Description

PARA ENTENDER CÓMO PENSAMOS Y PENSAR MEJOR, HAY QUE LEER A KAHNEMAN. --Premio Nobel de Economía

Dos médicos en la misma ciudad pueden dar diagnósticos diferentes a pacientes idénticos; dos jueces pueden dictar sentencias distintas ante delitos similares; nosotros mismos podemos decidir una cosa u otra según sea por la mañana o por la tarde, o según se acerque o no la hora de comer. Estos son ejemplos de ruido: el sesgo que conlleva variabilidad en juicios que deberían ser iguales.

El ruido está presente en todas las decisiones individuales y colectivas, y produce errores en innumerables terrenos, desde la medicina hasta la economía, pasando por el derecho, la sanidad, la protección infantil y la contratación. Además, también nos importuna e influye a la hora de tomar muchas de nuestras decisiones cotidianas.

Daniel Kahneman, uno de los psicólogos más importantes del mundo, junto con Cass R. Sunstein y Olivier Sibony, dos eminencias mundiales en pensamiento estratégico, nos enseñan a escuchar ese ruido, cuyo impacto tendemos a ignorar, y a reducirlo para mejorar nuestros juicios. Basado en el mismo tipo de análisis agudo e ingeniosos ejemplos que convirtió Pensar rápido, pensar despacio en un best seller internacional, Ruido ofrece una serie de remedios originales, prácticos y sencillos para pensar mejor.

ENGLISH DESCRIPTION

From the Nobel Prize-winning author of Thinking, Fast and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad judgments and how to make better ones--a tour de force" (New York Times).

Imagine that two doctors in the same city give different diagnoses to identical patients--or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants--or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical.

In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgment, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions.

Packed with original ideas, and offering the same kinds of research-based insights that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment--and what we can do about it.

Product Details

Authors:
Daniel KahnemanOlivier SibonyCass R Sunstein
Book Format:
Hardcover
Country of Origin:
ES
Date Published:
7 December 2021
Dimensions:
23.37 x 15.49 x 3.56 cm
ISBN-10:
8418006366
ISBN-13:
9788418006364
Language:
Spanish
Pages:
416
Publisher:
Weight:
748.43 gm

Related Categories


Need Help?
+971 6 731 0280
support@gzb.ae

About UsContact UsPayment MethodsFAQsShipping PolicyRefund and ReturnTerms of UsePrivacy PolicyCookie Notice

VisaMastercardCash on Delivery

© 2024 White Lion General Trading LLC. All rights reserved.