Less-is-better Effect

Details:

The tendency to prefer a smaller set to a larger set judged separately, but not jointly.

Datasets:

(Datasets labeled with this bias will go here.)

Structural Analysis:

(Results of dataset analysis for patterns in structure, placement, tone, context, coreference, correlatives, and so on will go here.)

Proposed Algorithms:

(Proposed combinations of factors from the above analyses in algorithmic form for automated detection will go here.)

Positive Detection:

(Algorithms for bias-positive detection will go here.)

False-positive Detection:

(Algorithms for false-positive detection/filtering of the above bias-positive algorithms will go here.)

Certainty Mapping:

(Algorithms for the probability mapping between N mathematical dimensions for positive and false-positive algorithms will go here.)

Successful Algorithms:

(Tested successful algorithms will go here, along with their respective accuracy metrics and error data for further refinement.)

References:

  1. Hsee, Christopher K. (1998). “Less Is Better: When Low-value Options Are Valued More Highly than High-value Options” (PDF). Journal of Behavioral Decision Making. 11 (2): 107–121. doi:10.1002/(SICI)1099-0771(199806)11:2<107::AID-BDM292>3.0.CO;2-Y
  2. Inglis-Arkell, Esther. “The less-is-better effect lets you fake generosity”. Gizmodo. Gizmodo. Retrieved 25 April 2017.
  3. Medvec, Victoria Husted; Madey, Scott F.; Gilovich, Thomas (1995). “When less is more: Counterfactual thinking and satisfaction among Olympic medalists”. Journal of Personality and Social Psychology. 69 (4): 603–610. doi:10.1037/0022-3514.69.4.603
  4. Wilson, T. D.; J. W. Schooler (1991). “Thinking too much: Introspection can reduce the quality of preferences and decisions”. Journal of Personality and Social Psychology. 60 (2): 181–192. doi:10.1037/0022-3514.60.2.181
  5. Kahneman, Daniel (2011). Thinking, Fast and Slow. New York: Farrar, Straus and Giroux. pp. 156–65, 383, 388. ISBN 9781429969352.