Pulse en una miniatura para ir a Google Books.
Cargando... Noise: A Flaw in Human Jugdmentpor Daniel Kahneman, Inger Sverreson Holmes (Traductor), Olivier Sibony (Autor), Cass R. Sunstein (Autor)
Books Read in 2022 (1,434) Cargando...
Inscríbete en LibraryThing para averiguar si este libro te gustará. Actualmente no hay Conversaciones sobre este libro. I found the first 200 pages of this book to be almost impenetrable and frequently forgot a sentence shortly after reading it. That said, the book and its import improve. If you’ve read Kahneman’s earlier work, Thinking Fast and Slow, you’ll be familiar with the use of a core metaphor to the argument. While the book says it’s about “Noise” it’s really about the statistical sources of bad judgments. Noise is the shorthand systems engineers use to explain flaws in the system. Kahneman et al want us to take a systems view of bad judgments, and bad judges. There is hope for them yet. Forestalling judgment until the evidence is collected, breaking down complex judgments to their constituent parts, employing baseline comparisons, and employing objective referees will all yield better judgments in business, in law and medicine, and in life. I certainly hope so. I have trouble just dealing with the volume of judgments I am called upon to make everyday in business. There is a lot here to think about, especially about the people who are the experts we rely upon, and how they frequently get important things wrong. Focuses specifically on system noise (which is different from cognitive biases). With implications on decision-making and all types of human judgments and systems. You'll learn: • What is system noise and how it affects all types of decisions, from personal to professional judgments, individual to group decisions, and private sector to public sector; • The difference between noise and bias, the components of system noise, how to evaluate the quality of judgments and measure noise; • A range of strategies for reducing noise, including: how to do noise audits, find good judges, use de-biasing, and adopt various preventive decision hygiene strategies; • Problems and limits to noise reduction, and how we can consider the “right” level of noise to accept. Book summary at: https://readingraphics.com/book-summary-noise/ sin reseñas | añadir una reseña
Premios
Psychology.
Science.
Nonfiction.
HTML: PARA ENTENDER CMO PENSAMOS Y PENSAR MEJOR, HAY QUE LEER A KAHNEMAN Premio Nobel de Economa Dos mdicos en la misma ciudad pueden dar diagnsticos diferentes a pacientes idnticos; dos jueces pueden dictar sentencias distintas ante delitos similares; nosotros mismos podemos decidir una cosa u otra segn sea por la maana o por la tarde, o segn se acerque o no la hora de comer. Estos son ejemplos de ruido: el sesgo que conlleva variabilidad en juicios que deberan ser iguales. El ruido est presente en todas las decisiones individuales y colectivas, y produce errores en innumerables terrenos, desde la medicina hasta la economa, pasando por el derecho, la sanidad, la proteccin infantil y la contratacin. Adems, tambin nos importuna e influye a la hora de tomar muchas de nuestras decisiones cotidianas. Daniel Kahneman, uno de los psiclogos ms importantes del mundo, junto con Cass R. Sunstein y Olivier Sibony, dos eminencias mundiales en pensamiento estratgico, nos ensean a escuchar ese ruido, cuyo impacto tendemos a ignorar, y a reducirlo para mejorar nuestros juicios. Basado en el mismo tipo de anlisis agudo e ingeniosos ejemplos que convirti Pensar rpido, pensar despacio en un best seller internacional, Ruido ofrece una serie de remedios originales, prcticos y sencillos para pensar mejor. La crtica ha dicho: Monumental y apasionante. Excepcional. Un tour de force de sabidura y claridad. No se han encontrado descripciones de biblioteca. |
Debates activosNingunoCubiertas populares
Google Books — Cargando... GénerosSistema Decimal Melvil (DDC)153.83Philosophy and Psychology Psychology Cognition And Memory Decision Making And Persuasion Decision MakingClasificación de la Biblioteca del CongresoValoraciónPromedio:
¿Eres tú?Conviértete en un Autor de LibraryThing. |
( )