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Each person is trapped in their own world and assume that the rest of humanity sees the world the same way that they do. That assumption is incorrect. You see the world differently to me, and that's true for every situation in which we find ourselves. It's a side-effect of how we're built!
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
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The easiest way to understand noise is by thinking about measurements. Suppose you are measuring a line with a very fine ruler. You will expect some variability such that you will not get the same number every time when you measure. That variability is noise. In the mathematics of accuracy, the expression for total error is very simple and quite compelling. It is bias-squared plus noise-squared. Bias and noise are both contributing to error and in that equation, they do so on the same basis.
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
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If you want to understand the mainsprings of human-action, then understanding the remembering self is more important than the experiencing self.
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
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There is then a second order overconfidence where someone recognises a bubble but feels they will escape it when other people don't.
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
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There is a proverb in Hebrew that says that there used to be prophecy, but prophecy is now left for fools. I am not enthusiastic about forecasting anything.
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
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Many entrepreneurs are deluded about their odds of success, that evidence is very clear. This creates problems… Should a government subsidise entrepreneurs who greatly over-estimate their chances of success?
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
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I have argued, along with Nassim Taleb, that one of the sources of overconfidence in our ability to forecast the future is the great ease with which we find explanations for the past. That's a very significant mechanism that produces overconfidence.
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
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You cannot understand entrepreneurial activity without understanding optimism. Research has shown that optimism and overconfidence in individuals is directly linked to their engagement in entrepreneurial activity.
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
"
There is a naïve form which doesn't recognise the bubble, and thinks that real-estate will go up forever. There is then a second order overconfidence where someone recognises a bubble but feels they will escape it when other people don't.
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
"
Many entrepreneurs are deluded about their odds of success, that evidence is very clear. This creates problems… Should a government subsidise entrepreneurs who greatly over-estimate their chances of success?
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
"
One of the sources of overconfidence in our ability to forecast the future is the great ease with which we find explanations for the past. That's a very significant mechanism that produces overconfidence.
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
"
You cannot understand entrepreneurial activity without understanding optimism. Research has shown that optimism and overconfidence in individuals is directly linked to their engagement in entrepreneurial activity.
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
"
Each person is trapped in their own world and assume that the rest of humanity sees the world the same way that they do. That assumption is incorrect. You see the world differently to me, and that's true for every situation in which we find ourselves.
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research
"
The easiest way to understand noise is by thinking about measurements. The variability of the error is noise – and that's important. In the mathematics of accuracy, the expression for total error is very simple and quite compelling. It is bias-squared plus noise-squared.
— Daniel Kahneman
Nobel Prize Winner in Economics for Behavioral Economics Research