Accession Number : ADA047747


Title :   Intuitive Prediction: Biases and Corrective Procedures


Descriptive Note : Technical rept.


Corporate Author : DECISIONS AND DESIGNS INC MCLEAN VA


Personal Author(s) : Kahneman, Daniel ; Tversky, Amos


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a047747.pdf


Report Date : Jun 1977


Pagination or Media Count : 44


Abstract : This paper presents an approach to elicitation and correction of intuitive forecasts, which attempts to retain the valid component of intuitive judgments while correcting some biases to which they are prone. This approach is applied to two tasks that experts are often required to perform in the context of forecasting and in the service of decision making: the prediction of values and the assessment of confidence intervals. The analysis of these judgments reveals two major biases: non-regressiveness of predictions and overconfidence. Both biases are traced to people's tendency to give insufficient weight to certain types of information, e.g., the base-rate frequency of outcomes and their predictability. The corrective procedures described in this paper are designed to elicit from experts relevant information which they would normally neglect, and to help them integrate this information with their intuitive impressions in a manner that respects basic principles of statistical prediction.


Descriptors :   *JUDGEMENT(PSYCHOLOGY) , *DECISION MAKING , ESTIMATES , MATHEMATICAL PREDICTION , CORRECTIONS , DEFICIENCIES , STATISTICAL ANALYSIS , BIAS , CONFIDENCE LEVEL , FORECASTING , REASONING , ERROR ANALYSIS


Subject Categories : Psychology


Distribution Statement : APPROVED FOR PUBLIC RELEASE