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Examples Of Cognitive Biases

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Cognitive biases are a major factor that can lead researchers to make incorrect inferences when analyzing data. A cognitive bias is the mind’s tendency to come to incorrect conclusions based on a variety of factors. There are over 100 cognitive biases known to date that should be avoided. Overgeneralization, selection bias, premature closure, halo effect, and false consensus are examples of some of the most common cognitive pitfalls encountered.
The overgeneralization cognitive bias is when we come to a general conclusion based on a single incident or a single piece of evidence. If something bad happens only once, we expect it to happen over and over again. A person may see a single, unpleasant event as part of a never-ending pattern of defeat. …show more content…

Both the experimental and control groups should be representative of the general population, as well as representative of each other. One group should not show substantially higher characteristics of a given variable than the other, as this can distort the findings.
Premature closure is the tendency to prematurely end the decision-making process, accepting a diagnosis before it has been completely verified, or ceasing to consider other reasonable alternatives as soon as a possible diagnosis has been considered. This is a very common pitfall and researchers can easily fall into this trap if they are not diligent in their analysis.
The halo effect is a cognitive bias that refers to an observer's overall impression of a person, company, brand, or product influencing the observer's feelings and thoughts about that entity's character or properties. It was named by psychologist in reference to a person being perceived as having a halo. In society we often look at an attractive, tall and physically fit person and make the assumption that they are a nice person or maybe wealthy. This is certainly not always the case, but is a common congitive pitfall that we encounter every …show more content…

The allied bombers were critical to the strategic attacks, but the bombers were very slow and easy to shoot down. It was determined that the bombers needed more armor, but due to the heavy weight of the armor it needed to be added strategically. A man named Abraham Wald was brought in to determine where the armor should be placed. Abraham started with a diagram of the returning planes and documented where the bombers had been shot. The result of this data was that the bombers were most frequently struck in the wings, nose, and tails. The easy conclusion would be to add armor to these main areas that the returning bombers were most damaged. Wald did not fall into this cognitive selection bias and was able to reason that just simply looking at the returning bombers was not enough. He realized that the data was incomplete and in fact it was more critical to look at the bombers that did not return. He was able to reason that the bombers that returned with damage to the nose, wings and tails were able to survive and in fact did not require additional armor on those components. It was more critical to add armor to where the bombers that did not return took the most damage. If Wald only looked at the damage to the returning bombers his research would have led to inaccurate findings. Unfortunately Wald did not have access to the bombers that did not return, so it would have been reasonable that he only used

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