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Do you fit the management stereotype?

Chartered Management Institute

Probably the best known experiment into representativeness heuristics was conducted by Amos Tversky and Daniel Kahneman in the 70's. He has a need for order and clarity, and for neat and tidy systems in which every detail finds its appropriate place. As it's Friday, and I'm a fun kinda guy, why don't you play along?

Tversky 79
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Understanding Decision Bias

CO2

First, Arnott reviewed some of the most prominent taxonomies: Tversky and Kahneman (1974) Three General Purpose Heuristics Slovic, Fischhoff and Lichtenstein (1977), The look at overconfidence leads to not fully considering the problem and underestimating alternatives. Of all the taxonomies, the one I like best is one of the least well known.

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Decision Bias

CO2

First, Arnott reviewed some of the most prominent taxonomies: Tversky and Kahneman (1974) Three General Purpose Heuristics. Remus and Kottemann (1986) Toward Intelligent Decision Support Systems. Of all the taxonomies, the one I like best is one of the least well known. Isenberg (1984), How Senior Managers Think.

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Decision Bias

CO2

First, Arnott reviewed some of the most prominent taxonomies: Tversky and Kahneman (1974) Three General Purpose Heuristics. Remus and Kottemann (1986) Toward Intelligent Decision Support Systems. Of all the taxonomies, the one I like best is one of the least well known. Isenberg (1984), How Senior Managers Think.

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A Case for Group Risk-Taking

Harvard Business Review

I didn’t realize that noted academics Amos Tversky and Daniel Kahneman were studying this exact phenomenon, which they officially named “ loss aversion.”. As a fund manager, I was very aware that the pain of losing money was markedly worse than the satisfaction of gaining an equal amount.

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The Science of What We Do (and Don't) Know About Data Visualization

Harvard Business Review

William Cleveland and Robert McGill performed experiments to find out which of Bertin''s retinal variables were best suited for particular types of data, while Jock Mackinlay built a system that put Bertin''s and their work to use to create visualizations from data. This may all seem interesting, but its practical uses are not obvious.

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The Hidden Danger of Being Risk-Averse

Harvard Business Review

Amos Tversky and I] concluded from many such observations that ''losses loom larger than gains'' and that people are loss averse.". If anything, they appear to despise risk — so much so that they lobbied hard to create a system (i.e., "Too People are generally not all that happy about risk.