Ways to avoid bias in decision making.
Hi,
Making a robust decision is always surrounded with the fear of being bias. So this needs to be resolved in order to get to robust decision. How can this be done ?
After having a deeper look into the literature as well as practical examples I have learned the following strategies.
1) Self awarness is the first step in order to correct our own biases. This will help us to get confidence and can help us to explain others how not to be biased.
2) Examining in detail the data we have, the assumption we made, as well try to use statistical data to solve the problems
3) Probability plays an important role, where we generally get confused between different probabilities but understanding probability well will help in taking robust decision.
4) Using alternative strategies to view the problem as every coin has two sides in the same way every problem can be solved in different ways.
Hence there are many techniques to avoid biases. But I have never used it before, and now that I have learned it I would surely take into consideration as this direclty affects our decision making.
Gurbani Dassan
In my perspective, besides the above mentioned points, I think knowledge and time also play a very crucial role in making a robust decision. For instance, having knowledge about all kinds of bias and decision making strategies is fundamental for practicing self awareness in order to correct your own bias. Besides, in order to examine the details or assumption of any data or to use alternative strategies in order to check the validity and credibility of the decision made by using different decision making techniques, I believe time is an important consideration that should be kept in mind.
20 Apr 2012, 19:32
Nikunj Morjaria
Yes certainly true.. :)
22 Apr 2012, 08:54
Daniella Abena Badu
I see the logic in both posts but the sad truth is biases can never be avoided, it can only be minimised no matter how much time, techniques and knowledge we may have, although your contributions are valid ways of minimising biases.
22 Apr 2012, 22:03
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