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The anchoring bias, or focalism, is the tendency to rely too heavily—to "anchor"—on one trait or piece of information when making decisions (usually the first piece of information acquired on that subject). [11] [12] Anchoring bias includes or involves the following:
Blindspots analysis or blind spots analysis is a method aimed at uncovering obsolete, incomplete, or incorrect assumptions in a decision maker’s mental scheme of the environment. Michael Porter used the term "blind spots" to refer to conventional wisdom which no longer holds true, but which still guides business strategy. [ 1 ]
Biases specific to groups (such as the risky shift) versus biases at the individual level. Biases that affect decision-making, where the desirability of options has to be considered (e.g., sunk costs fallacy). Biases, such as illusory correlation, that affect judgment of how likely something is or whether one thing is the cause of another.
While heuristics are tactics or mental shortcuts to aid in the decision-making process, people are also affected by a number of biases and fallacies. Behavioral economics identifies a number of these biases that negatively affect decision making such as: Present bias. Present bias reflects the human tendency to want rewards sooner. It describes ...
The objective of it is to encourage trainees to make errors and encourage them in reflection to understand the causes of those errors and to identify suitable strategies to avoid making them in future. [1] Various biases in thinking and decision-making have been highlighted by Daniel Kahneman and have been shown to cause cognitive errors in ...
Since information regarding the current state of the economy is readily available, researchers attempted to expose the properties of business cycles to predict the availability bias in analysts' growth forecasts. They showed the availability heuristic to play a role in analysis of forecasts and influence investments because of this. [20]
Choice architecture is the design of different ways in which choices can be presented to decision makers, and the impact of that presentation on decision-making. For example, each of the following: the number of choices presented [1] the manner in which attributes are described [2] the presence of a "default" [3] [4] can influence consumer choice.
In 1996, Elton, Gruber, and Blake showed that survivorship bias is larger in the small-fund sector than in large mutual funds (presumably because small funds have a high probability of folding). [8] They estimate the size of the bias across the U.S. mutual fund industry as 0.9% per annum, where the bias is defined and measured as: