Risk, Uncertainty, and Heuristics

Risk = space of outcomes and probabilities are known. Uncertainty = probabilities not known, and even space of possibilities may not be known. Heuristic rules are contrasted with algorithms like maximization of expected utility. See also Bounded Cognition and Risk, Ambiguity, and Decision (Ellsberg). Here’s a well-known 2007 paper by Gigerenzer et al. Helping Doctors and …

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A Shiny interactive web application to quantify how robust inferences are to potential sources of bias (sensitivity analysis)

We are happy to announce the release of an interactive web application, Konfound-It, to make it easy to quantify the conditions necessary to change an inference. For example, Konfound-It generates statements such as “XX% of the estimate would have to be due to bias to invalidate the inference” or “an omitted variable would have to …

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Epistemic Caution and Climate Change

I have not, until recently, invested significant time in trying to understand climate modeling. These notes are primarily for my own use, however I welcome comments from readers who have studied this issue in more depth. I take a dim view of people who express strong opinions about complex phenomena without having understood the underlying …

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