Heuristics and biases
By Klaus Fiedler, Momme von Sydow. 2015
306 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1198fca2588fa18cab928d03fde2740050333db3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Blakeley B. McShane
- Ulf Böckenholt
- J. Tackett
- Max H. Bazerman
- Karen Huang
- Andrew Gelman
- Joshua D. Greene
- Bent Flyvbjerg
Citations in the corpus
- Veil-of-ignorance reasoning favors the greater good (2019, background): “[By anchoring, we mean giving a subsequent response that is the same as a prior response, rather than referring to anchoring in the more specific sense defined by Tversky and Kahneman (22).”
- Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise (2017, unknown): “Giustinelli (2016) surveyed teenagers completing middle school and their parents regarding choice among alternative types of high school and their expectations for successful performance in each type of school and their outcomes thereafter. She used these data to estimate random utility models of ch”
- Quality Control and Due Diligence in Project Management: Getting Decisions Right by Taking the Outside View (2013, background): “The existing literature on quality control, due diligence, and risk assessment in project management does not cover this particular approach to improved decision making (Breakwell, 2007; De Meyer et al., 2002; Fischoff, 2002; Perminova et al., 2008; Winch, 2010).”
- Large-Scale Replication Projects in Contemporary Psychological Research (2017, background): “While there is an extremely large literature on this phenomenon (see, e.g., Chapters 6-8 of Gilovich, Griffin, and Kahneman 2002), one popular paradigm for it, used inter alia in the Many Labs project, is to present subjects with a number that is clearly too small or too large and then to ask them…”