Posts on new research by Edwin Dalmaijer’s group at the University of Bristol.
Two weeks ago, we published a Perspective article on how the starting procedure in racing sports could bias competitions. Some speed skating enthusiasts suggested we analyse the 100-meter times from the races we reported on. So we did! The results are very similar to our earlier results: Longer ready-start intervals lead to slower 100-meter times in Olympic speed skating.
Yesterday, we reported that random variability in the starting procedure of racing sports can bias competitions, even at Olympic events. Not everyone agreed. In this post we address all questions and criticisms, and provide an extra analysis that looks at within-athlete effects of changes in the ready-start interval on changes in race times. This analysis is robust to differences between skaters’ individual qualities, and has causal power. Our results indicate that there still is evidence that random differences in ready-start intervals might bias competitions. At the very least, this calls for future research into the starting procedure of racing sports. Which is exactly what we intended to provoke with yesterday’s publication.
At Olympic racing sports, the gold goes to whoever is the most talented and has trained the hardest. Or does it? Our new research shows that subtle random differences in starting procedures can bias athletes’ alertness. This makes them slower to respond to the starting shot, resulting in a higher finishing time. This small bias can the difference between winning gold, and not even being on the podium!
One underlying issue in psychopathy is an inability to use contextual information (e.g. the look on someone’s face) to guide attention. New research shows that psychopathic traits are associated with top-down, but not with bottom-up attention. In non-psych lingo: psychopaths are very focussed on the task at hand, and have issues in directing their attention to information that is irrelevant to said task (even if it might have helped them perform better).
Introducing MPy150: an easy-to-use Python library for using a BIOPAC MP150. Sample code included!