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Smart Reading

Summary: Thinking, Fast and Slow. Daniel Kahneman

Серия
Smart Reading: Саммари на английском языке
Издательство
Смарт Ридинг
Год издания
2022
16+
Возраст
Для читателей старше 16 лет

Notice: This is a SUMMARY of “Thinking, Fast and Slow” by Daniel Kahneman. Daniel Kahneman's book Thinking, Fast and Slow, is dedicated to the workings of human thought. It was the result of scientific research for which the author received the Nobel Prize in Economics. Thinking, Fast and Slow by Daniel Kahneman proves that any normal person can make systematic errors in reasoning, especially in the face of uncertainty. These mistakes are inherent in a person’s true nature, his or her emotional state does not play a role. The author divides the mechanism of human thinking into two systems. System one uses associations and metaphors to casually sketch reality. System two uses reasoned and considered judgments, but is reluctant to get involved. People are looking everywhere for easy solutions and therefore quickly finds patterns where there are none.

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Summary: Thinking, Fast and Slow. Daniel Kahneman

Summary: Thinking, Fast and Slow. Daniel Kahneman

Издательство: Смарт Ридинг Год: 2022 Форматы: FB2.ZIP,FB3,EPUB,IOS.EPUB,TXT.ZIP,RTF.ZIP,A4.PDF,A6.PDF,MOBI.PRC,TXT

Notice: This is a SUMMARY of “Thinking, Fast and Slow” by Daniel Kahneman. Daniel Kahneman's book Thinking, Fast and Slow, is dedicated to the workings of human thought. It was the result of scientific research for which the author received the Nobel Prize in Economics. Thinking, Fast and Slow by Daniel Kahneman proves that any normal person can make systematic errors in reasoning, especially in the face of uncertainty. These mistakes are inherent in a person’s true nature, his or her emotional state does not play a role. The author divides the mechanism of human thinking into two systems. System one uses associations and metaphors to casually sketch reality. System two uses reasoned and considered judgments, but is reluctant to get involved. People are looking everywhere for easy solutions and therefore quickly finds patterns where there are none.

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