Thursday, October 7, 2010

Optimism Bias

Optimism bias is a well-established illusion of being over- optimistic about future events. The basic idea is that when people judge their chances of experiencing a good outcome they estimate their odds to be above average. But when they contemplate the probability that something unpleasant will happen to them, they estimate their odds to be lower than those of other people. A great number of academic studies have been done on this subject. Some of the well established cases of optimism bias are as follows:

- People expect to complete personal projects in less time than it actually takes to complete them

4 comments:

  1. Keynes says this about animal spirits/optimism bias..."Even apart from the instability due to speculation, there is the instability due to the characteristic of human nature that a large proportion of our positive activities depend on spontaneous optimism rather than mathematical expectations, whether moral or hedonistic or economic. Most, probably, of our decisions to do something positive, the full consequences of which will be drawn out over many days to come, can only be taken as the result of animal spirits - a spontaneous urge to action rather than inaction, and not as the outcome of a weighted average of quantitative benefits multiplied by quantitative probabilities."

    And I disagree with your point about NREGA. When you say labourers are unwilling to work, you mean that they are unwilling to work for less than the minimum wage. Economic rationality says that the labourers shouldn't work for less than the minimum wage when a greater salary is available. Anyway, why should construction companies pay less than the minimum wage?

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  2. a very true look at the bottom of pyramid and a highlight on the learning curve the Indian Administrative system is going thru.

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  3. The problem with the other extreme is that people then tend to be over pessimistic and hence like we have seen in the real estate PE world, they are not willing to commit capital to even the good projects, because of the pessimism bias which seems to have crept into minds of fund managers post the crash of the 2008 bubble. Can you please let us know how to get round these extremes?

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