Do you remember the notorious hurricane / himmicane study (Jung et al., PNAS, 2014)? At the time, there was a heavy backlash against the study, and probably rightly so, as the statistical analysis turns out to be highly unstable against a change of the regression formula. You can find some links here. Over the years,…
I have blogged a few days a ago about a study by Kiju Jung that suggested that implicit bias leads people to underestimate the danger of female-named hurricanes. The study used historical data to demonstrate a correlation between femininity and death-toll, and subsequent experiments seemed to show that people indeed estimate hurricanes to be less…
Update 2, 6.6.14: Due to the criticism of this study on the web, I have reanalyzed a part of this study. See my comments here. We should by now know that that which we call a rose; by any other name would smell as sweet; but it seems we still haven’t quite internalized the message.…
I recently posted about a reply to a PNAS paper in which we show that, contrary to the claim in the original publication, the “true” model does by no means delivers worse predictions for chaotic population dynamics than time-series methods without any specific mechanism underlying, provided appropriate statistical estimation methods are used. To be clear,…
theoretical ecology 