The paper "The Trouble with Overconfidence" by Don Moore and Paul J. Healy explores the different dimensions of overconfidence: overestimation of one's actual performance, overplacement of one's performance relative to others, and overprecision in one's beliefs. The authors review the literature and identify inconsistencies in the research, particularly in the treatment of overestimation and overplacement, and the confounding of overestimation with overprecision. They propose a new theory that explains these inconsistencies by suggesting that people have imperfect information about their own and others' performances, leading to regressive estimates. The theory predicts that on difficult tasks, people will overestimate their performance but underestimate others, while on easy tasks, they will underestimate their performance but overestimate others. The authors also present an experimental study to test these predictions, finding evidence for the proposed relationships between overestimation, overplacement, and overprecision. The study uses a repeated-measures design to examine the effects of experience and feedback on these biases.The paper "The Trouble with Overconfidence" by Don Moore and Paul J. Healy explores the different dimensions of overconfidence: overestimation of one's actual performance, overplacement of one's performance relative to others, and overprecision in one's beliefs. The authors review the literature and identify inconsistencies in the research, particularly in the treatment of overestimation and overplacement, and the confounding of overestimation with overprecision. They propose a new theory that explains these inconsistencies by suggesting that people have imperfect information about their own and others' performances, leading to regressive estimates. The theory predicts that on difficult tasks, people will overestimate their performance but underestimate others, while on easy tasks, they will underestimate their performance but overestimate others. The authors also present an experimental study to test these predictions, finding evidence for the proposed relationships between overestimation, overplacement, and overprecision. The study uses a repeated-measures design to examine the effects of experience and feedback on these biases.