are gratefully acknowledged. Correspondence concerning this manuscript should be addressed via email to:kf@psychologie.uni-heidelberg.de.
AbstractThe term pseudocontingency (PC) denotes the logically unwarranted inference of a Pseudocontingencies 2 contingency between two variables X and Y from information other than pairs of x i , y i observations, namely, the variables' univariate baserates as assessed in one or more ecological contexts. We summarize recent experimental evidence, showing that PCs can play a pivotal role in many areas of judgment and decision making. We argue that the exploitation of the informational value of baserates underlying PCs offers an alternative perspective on many phenomena in the realm of adaptive cognition that have been studied in isolation so far.Although PCs can lead to serious biases under some conditions, they afford an efficient strategy for inductive inference making in probabilistic environments that render baserate information, rather than genuine covariation information, readily available. Adaptive behavior hinges on our ability to extract meaningful regularities from the flood of information provided by the physical and social environment. In an uncertain world, discerning regularities often amounts to assessing statistical contingencies between two variables over a series of events, such as correlations between causes and events, signals and significant events, predictions and feedback, actions and consequences, or behaviors associated with particular personality types. It is no exaggeration to claim that the ability to assess contingencies is crucial for adaptive learning and behavior, for rational action and decision making, and -ultimately -for survival in a risky and uncertain world. Thus, contingency assessment is commonly considered a major module of inductive intelligence, as stated in several pertinent reviews (Allan, 1993;Allan, Hannah, Crump & Siegel, 2008;Alloy & Tabachnik, 1984;Arieh & Algom, 2002;Crocker, 1981;Fiedler, 2000).In this article, we present an alternative perspective on inductive learning, drawing on pseudocontingencies rather than contingencies proper. The major claim we will put forward is that when organisms figure out correlations or contingencies (in case of nominally scaled variables), they often engage in a cognitive inference process that is sensitive to something different from a genuine correlation. To start with a definition, the term "pseudocontingency" denotes the (logically unwarranted) inference of a contingency between two variables X and Y from information other than pairs of x i , y i observations. In empirical reality, there are many situations in which joint observations of two or more variables are not available, or in which environmental or mnemonic constraints preclude the use of such genuine contingency information. In these situations, pseudocontingencies (PCs) can be inferred from other information, particularly, from the covariation of unequal baserates of high and low levels of X and Y over an ecological context fact...