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Regression Bias: Definition, Examples and Effects

The Ambiguity Effect is a cognitive bias that causes people to prefer known risks over unknown risks. It is a phenomenon that has been studied extensively in the field of psychology and economics. In this blog post, we will explore the definition, examples, and effects of the Ambiguity Effect.


Definition: The Ambiguity Effect is a cognitive bias that causes people to prefer known risks over unknown risks. This means that when faced with two options, people will often choose the one with the most certain outcome, even if it is not the most beneficial option. This is because the unknown risks associated with the other option can be perceived as too great.


Examples: One example of the Ambiguity Effect can be seen in the stock market. Investors often prefer to invest in stocks with a known track record, even if the potential returns are lower than those of a stock with an unknown track record. Another example is when people are choosing between two job offers. Even if one job offers a higher salary, people may choose the other job if it has a more certain outcome.


Effects: The Ambiguity Effect can have a significant impact on decision-making. People may make decisions that are not in their best interest because they are afraid of the unknown risks associated with the other option. This can lead to missed opportunities and suboptimal outcomes. Additionally, the Ambiguity Effect can lead to a lack of innovation, as people may be unwilling to take risks in order to achieve greater rewards.


Overall, the Ambiguity Effect is an important cognitive bias to be aware of. By understanding the definition, examples, and effects of the Ambiguity Effect, people can make more informed decisions and avoid the pitfalls of this cognitive bias.


Do you want to expand your knowledge on this topic? Read our full in-depth article on cognitive biases.


Do you have extra 15 minutes today? Takeour fun and interactive quiz to learn which of 16 reasoning styles you use, your overall level of rationality, and what you can do now to improve your rationality skills.

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