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Real Knowledge Is to Know the Extent of One’s Ignorance
16 references·0 citing·44 second hop
Real Knowledge Is to Know the Extent of One’s Ignorance (2026)Real Knowledge Is to Know the Extent of O…Knowing less but presuming more: Dunning-Kruger effects and the endorsement of anti-vaccine policy attitudes (2018)Knowing less but presuming mo…How financial literacy and demographic variables relate to behavioral biases (2018)How financial literacy and de…Overconfidence and investment: An experimental approach (2017)Overconfidence and investment…Dunning–Kruger effects in reasoning: Theoretical implications of the failure to recognize incompetence (2017)Dunning–Kruger effects in rea…Overconfident Investors, Predictable Returns, and Excessive Trading (2015)Overconfident Investors, Pred…Do People Have Insight Into Their Abilities? A Metasynthesis (2014)Do People Have Insight Into T…Reducing Overconfidence in the Interval Judgments of Experts (2009)Reducing Overconfidence in th…An Experimental Test of the Impact of Overconfidence and Gender on Trading Activity (2008)An Experimental Test of the I…z-Tree: Zurich toolbox for ready-made economic experiments (2007)z-Tree: Zurich toolbox for re…The Demographics of Overconfidence (2006)The Demographics of Overconfi…Why People Fail to Recognize Their Own Incompetence (2003)Why People Fail to Recognize …The nature of information and overconfidence on venture capitalists' decision making (2001)The nature of information and…Boys will be Boys: Gender, Overconfidence, and Common Stock Investment (2001)Boys will be Boys: Gender, Ov…Unskilled and unaware of it: How difficulties in recognizing one's own incompetence lead to inflated self-assessments. (1999)Unskilled and unaware of it: …The Proof and Measurement of Association between Two Things (1904)The Proof and Measurement of …Regression Towards Mediocrity in Hereditary Stature. (1886)Regression Towards Mediocrity…Judgment under Uncertainty: Heuristics and Biases (1975)Introduction to Meta‐Analysis (2009)A practical guide to structured expert elicitation using the IDEA protocol (2017)Expert biases in technology foresight. Why they are a problem and how to mitigate them (2019)Ask the Experts: What Should Be on an IoT Privacy and Security Label? (2020)Introduction to Meta‐Analysis (2021)Judgment under Uncertainty: Heuristics and Biases (1974)An Evolutionary Theory of Economic Change. (1983)Opportunity Evaluation under Risky Conditions: The Cognitive Processes of Entrepreneurs (2002)Are some entrepreneurs more overconfident than others? 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References

  • 2007z-Tree: Zurich toolbox for ready-made economic experiments9,517 cited
  • 1904The Proof and Measurement of Association between Two Things8,010 cited
  • 1999Unskilled and unaware of it: How difficulties in recognizing one's own incompetence lead to inflated self-assessments.7,694 cited
  • 2001Boys will be Boys: Gender, Overconfidence, and Common Stock Investment5,215 cited
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  • 2003Why People Fail to Recognize Their Own Incompetence1,224 cited
  • 2001The nature of information and overconfidence on venture capitalists' decision making591 cited
  • 2014Do People Have Insight Into Their Abilities? A Metasynthesis432 cited
  • 2018Knowing less but presuming more: Dunning-Kruger effects and the endorsement of anti-vaccine policy attitudes355 cited
  • 2009Reducing Overconfidence in the Interval Judgments of Experts351 cited
  • 2008An Experimental Test of the Impact of Overconfidence and Gender on Trading Activity335 cited
  • 2018How financial literacy and demographic variables relate to behavioral biases321 cited
  • 2015Overconfident Investors, Predictable Returns, and Excessive Trading284 cited
  • 2006The Demographics of Overconfidence250 cited
  • 2017

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Dunning–Kruger effects in reasoning: Theoretical implications of the failure to recognize incompetence
244 cited
  • 2017Overconfidence and investment: An experimental approach234 cited
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