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Who needs theory when you have so much information? But this is categorically the wrong attitude to take toward forecasting, especially in a field like economics where the data is so noisy.

em The Signal and the Noise: Why So Many Predictions Fail - But Some Don't
statistics economics forecasting

In science, progress is possible. In fact, if one believes in Bayes' theorem, scientific progress is inevitable as predictions are made and as beliefs are tested and refined.

science progress bayes

Under Bayes' theorem, no theory is perfect. Rather, it is a work in progress, always subject to further refinement and testing.

progress bayes

...the ratings agencies' problem was in being unable or uninterested in appreciating the distinction between risk and uncertainty.

risk uncertainty prediction ratings

Distinguishing the signal from the noise requires both scientific knowledge and self-knowledge: the serenity to accept the things we cannot predict, the courage to predict the things we can, and the wisdom to know the difference.

em The Signal and the Noise: Why So Many Predictions Fail - But Some Don't
knowledge wisdom self-knowledge bias uncertainty prediction

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