The terms nested sets, partitive frequencies, inside-outside view, and dual processes add little but confusion to our original analysis (Gigerenzer & Hoffrage 1995; 1999). The idea of nested set was introduced because of an oversight; it simply rephrases two of our equations. Representation in terms of chances, in contrast, is a novel contribution yet consistent with our computational analysis - it uses exactly the same numbers as natural frequencies. We show that non-Bayesian reasoning in children, laypeople, and physicians follows multiple rules rather than a general-purpose associative process in a vaguely specified "System 1.” It is unclear what the theory in "dual process theory” is: Unless the two processes are defined, this distincti...
Is the nested sets approach to improving accuracy on Bayesian word problems simply a way of promptin...
Research on Bayesian reasoning has indicated that people struggle with performance, usually providin...
A Bayesian mind is, at its core, a rational mind. Bayesianism is thus well-suited to predict and exp...
The terms nested sets, partitive frequencies, inside-outside views and dual processes add little but...
The presentation of a Bayesian inference problem in terms of natural frequencies rather than probabi...
People appear to be Bayesian when statistical information is presented in terms of natural frequenci...
notoriously difficult for laypeople to solve using base rates, hit rates, and false-alarm rates, bec...
We confess that the first part of our title is somewhat of a misnomer. Bayesian reasoning is a norma...
Abstract: The phenomenon of base-rate neglect has elicited much debate. One arena of debate concerns...
This PhD is concerned with the causal Bayesian framework account of probabilistic judgement (Krynski...
While the majority of similar studies examining Bayesian reasoning investigate how participants avoi...
Commentary on Barbey & Sloman: Base-rate respect The conclusions of Barbey & Sloman (B&S) cruciall...
While the majority of similar studies examining Bayesian reasoning investigate how participants avoi...
While the majority of similar studies examining Bayesian reasoning investigate how participants avoi...
Bayesian probability problems are notoriously difficult for people to solve accurately. Base rate ne...
Is the nested sets approach to improving accuracy on Bayesian word problems simply a way of promptin...
Research on Bayesian reasoning has indicated that people struggle with performance, usually providin...
A Bayesian mind is, at its core, a rational mind. Bayesianism is thus well-suited to predict and exp...
The terms nested sets, partitive frequencies, inside-outside views and dual processes add little but...
The presentation of a Bayesian inference problem in terms of natural frequencies rather than probabi...
People appear to be Bayesian when statistical information is presented in terms of natural frequenci...
notoriously difficult for laypeople to solve using base rates, hit rates, and false-alarm rates, bec...
We confess that the first part of our title is somewhat of a misnomer. Bayesian reasoning is a norma...
Abstract: The phenomenon of base-rate neglect has elicited much debate. One arena of debate concerns...
This PhD is concerned with the causal Bayesian framework account of probabilistic judgement (Krynski...
While the majority of similar studies examining Bayesian reasoning investigate how participants avoi...
Commentary on Barbey & Sloman: Base-rate respect The conclusions of Barbey & Sloman (B&S) cruciall...
While the majority of similar studies examining Bayesian reasoning investigate how participants avoi...
While the majority of similar studies examining Bayesian reasoning investigate how participants avoi...
Bayesian probability problems are notoriously difficult for people to solve accurately. Base rate ne...
Is the nested sets approach to improving accuracy on Bayesian word problems simply a way of promptin...
Research on Bayesian reasoning has indicated that people struggle with performance, usually providin...
A Bayesian mind is, at its core, a rational mind. Bayesianism is thus well-suited to predict and exp...