I have to agree that a simple attempt to do a statistical analysis using Bayes Theorem is just not sufficient. There are too many mitigating factors and intangibles. A good analysis could perhaps be obtained through a planned, well-designed experiment, but of course this is not ethically and legally possible. Brad Quoting Mark Perkins <marker_at_gmail.com>: > Thank you Brad for illuminating one of my pet peeves of popularly applied > probability. > > DuCharme's paper mentioned in the article is available at: > http://article.pubs.nrc-cnrc.gc.ca/ppv/RPViewDoc?_handler_=HandleInitialGet&journal=apnm&volume=32&calyLang=eng&articleFile=h07-042.pdf > (search for 60%) > > My first hope was that the journalist misinterpreted something written in > the paper. But no, the article is true to DuCharme's exposition. My next > hope was that DuCharme blindly copied someone else's analysis, but this > turns out not to be so. His source is also available: > > http://www.redcross.ca/cmslib/general/ws_final_m2_english2006_04_19.pdf > (Search for "VICTIM & SURVIVOR RESPONSES TO IMMERSION") > > As it turns out, the 2006 Drowning Report lists, for victims and surivors > who had the choice, how many swam immediately, swam after a delay, and > stayed with the boat. Using the raw totals, here are the relevant results: > P{survive} = 0.53 (81 survivors, 72 victims) > P{survive | swim immediately} = 0.51 > P{survive | swim after a delay} = 0.53 > P{survive | stay with the boat} = 0.55 > > I haven't done the statistics, but I'm guessing that the small variation in > these numbers with a relatively small sample is not statistically > significant, so no claim can be made as to which course of action gives the > best chance of survival. (Of course, the real answer is that this is > situation dependent and must include information like, proximity to shore, > swimming ability, PFD, clothing, etc.) > > While the drowning report does not report the numbers exactly as Brad > suggested, it also does not report them as DuCharme did - so he must be held > accountable for twisting his Bayesian inference all by himself. > > As for whether you should swim or stay, you'll have to decide that based on > the conditions. > > -Mark > > PS - The good news is that of all types of boating victims, only 3% were > kayakers, making kayaks safer than rowboats, canoes or even large powerboats > (22%) (and yes, I'm kidding) > > On Nov 8, 2007 6:59 PM, Bradford R. Crain <crainb_at_pdx.edu> wrote: > >> I would assume we are interested in the conditional probability of >> survival, given that the individual swam. We would also be interested >> in the conditional probability of survival, given the individual stayed >> with the boat. *************************************************************************** PaddleWise Paddling Mailing List - Any opinions or suggestions expressed here are solely those of the writer(s). You must assume the entire responsibility for reliance upon them. All postings copyright the author. Submissions: PaddleWise_at_PaddleWise.net Subscriptions: PaddleWise-request_at_PaddleWise.net Website: http://www.paddlewise.net/ ***************************************************************************Received on Sat Nov 10 2007 - 19:45:18 PST
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