
Why do judges give wildly different sentences for identical crimes? "Noise" reveals the hidden inconsistencies corrupting our decisions - from medicine to hiring. Kahneman's New York Times bestseller offers practical "decision hygiene" techniques to combat the randomness we never see coming.
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Imagine standing before a judge who slept poorly and whose favorite team just lost. Without realizing it, he sentences you to three years-while yesterday, an identical case received six months from a different judge. This isn't dystopian fiction but the reality of what Daniel Kahneman calls "noise"-unwanted variability in judgments that should be identical. While we obsess over bias (systematic errors in one direction), noise (random scatter in all directions) remains largely invisible yet equally destructive. Using a shooting range metaphor, bias is like consistently missing the target in the same direction, while noise is like shots scattered randomly around the bull's-eye. The shocking reality? Noise pervades our most important institutions: doctors disagree on diagnoses, asylum decisions depend on which judge you get, and insurance underwriters quote wildly different premiums for identical risks. What makes noise particularly insidious is that unlike bias, which sometimes reveals itself through patterns, noise remains invisible without deliberate measurement-and when organizations finally measure it, they're typically shocked by what they find.
Desglosa las ideas clave de Noise en puntos fáciles de entender para comprender cómo los equipos innovadores crean, colaboran y crecen.
Destila Noise en pistas de memoria rápidas que resaltan los principios clave de franqueza, trabajo en equipo y resiliencia creativa.

Experimenta Noise a través de narraciones vívidas que convierten las lecciones de innovación en momentos que recordarás y aplicarás.
Pregunta lo que quieras, elige la voz y co-crea ideas que realmente resuenen contigo.

Creado por exalumnos de la Universidad de Columbia en San Francisco
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Creado por exalumnos de la Universidad de Columbia en San Francisco

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