i've been contemplating the question of whether we can generate a meaningful set of data on how much risk really is involved in road cycling. for us. for triathletes. and maybe even regionally, but certainly nationally.
my methodology is simple: identify the "event" we're looking for (e.g., death), and crowdsource the data collection. in short, we pick a time period - say, oct 1 2014 thru oct 1 2016, we go through all the back threads here, and then we further branch out, asking our own cohorts, clubs, facebook friends, etc., to recollect every triathlete who's died as a result of a bicycle accident, collision, etc., perhaps excluding when the proximate cause is a heart attack or something likely to have caused death anyway.
the cohort is either all triathletes - and i can pretty easily determine a good guess on how many triathletes there are in the U.S. or in all of north america - or we limit this to triathletes who are active in the community, if we think we can only crowdsource accident stats on the more committed triathletes.
so, first we decide on the size of the cohort (125,000, 500,000, whatever), and then get to work and ferret out every accident causing death, whether by car or otherwise.
do you think we could generate good statistics? what questions, limits, rules, processes, behaviors, cautions, have i not thought of?
Dan Empfield
aka Slowman
my methodology is simple: identify the "event" we're looking for (e.g., death), and crowdsource the data collection. in short, we pick a time period - say, oct 1 2014 thru oct 1 2016, we go through all the back threads here, and then we further branch out, asking our own cohorts, clubs, facebook friends, etc., to recollect every triathlete who's died as a result of a bicycle accident, collision, etc., perhaps excluding when the proximate cause is a heart attack or something likely to have caused death anyway.
the cohort is either all triathletes - and i can pretty easily determine a good guess on how many triathletes there are in the U.S. or in all of north america - or we limit this to triathletes who are active in the community, if we think we can only crowdsource accident stats on the more committed triathletes.
so, first we decide on the size of the cohort (125,000, 500,000, whatever), and then get to work and ferret out every accident causing death, whether by car or otherwise.
do you think we could generate good statistics? what questions, limits, rules, processes, behaviors, cautions, have i not thought of?
Dan Empfield
aka Slowman