Apparently as soon as you know you are not going to win and the race rules allows a team to “restart” if there is a crash.
Thanks to @fbahr and @parubin for bringing this to my attention.
Related blog post:
August 6, 2012
when is the optimal strategy to crash in track cycling race?
By Laura Albert
This entry was posted on Monday, August 6th, 2012 at 1:25 pm and tagged with Olympics and posted in Uncategorized. You can follow any responses to this entry through the RSS 2.0 feed.
One response to “when is the optimal strategy to crash in track cycling race?”
Leave a Reply
Search Punk Rock OR:
Punk Rock OR Tweets
- RT @uwisye: @UWMadison's Center for Quick Response Manufacturing (#QRM) has demonstrated that manufacturers can #reshore production without… 2 hours ago
- Important research findings from @PKeskinocak 👏 twitter.com/aauniversities… 1 day ago
- I’m attending the #ACMNTW2022 workshop on optimization and machine learning at #Northwestern University. Great rese… twitter.com/i/web/status/1… 1 day ago
- I’m going to stay up all night to read these 101 articles published by @INFORMS’ 32 Nobel laureates 🏆 What a grea… twitter.com/i/web/status/1… 1 day ago
- In honor of the @USWNT's landmark equal pay deal, here is the derivation of a win probability model using data from… twitter.com/i/web/status/1… 2 days ago
- So proud of the @USWNT. For years they fought for equal pay and now they signed a landmark deal that will give them… twitter.com/i/web/status/1… 2 days ago
Recent Comments
Tags
academia analytics art aviation blogs cheese computing conferences cooking coupons criminal justice data decision analysis disasters education elections emergencies environmentalism & natural living finance football analytics grand challenges health healthcare higher education holidays home homeland security humanitarian invited talks lightning lottery march madness math programming mip MODA newspapers Olympics optimization OR in the news pandemic PhD phd support pirates podcast and video Poisson politics probability public policy publishing queuing risk communication sabbatical science communication science fair secretary problem slidecasts social justice social networking sports star wars stochastic processes supply chains teaching teaching with technology traffic Transportation TSP twitter vampires weather werewolves women work-life balance writing zombies
Punk Rock Operations Research 
August 18th, 2012 at 2:02 pm
What is the optimal strategy for choosing your height in high-jumping? Information is gradually revealed about how other competitors are doing. I saw one athlete take a “pass” at one point i.e. not jump. Succeed at a lower jump to lock in a “top 10,” or only jump “in the money” where you think the Bronze winner will eventually be?
Or if you are not a top-10 jumper, should you “go for broke” on every jump? If you miss every one you are at the bottom; but if you get lucky you could medal. (No doubt the rules place constraints on this strategy.)
There are doubtless physical issues (getting tired) and for many psychological issues.
Any articles on this?