I've got into a bit of a hoo-hah about cycle helmets and rather than the specifics, I wanted to ask about a general approach. I've been presented with some statistics that are preported to show that not having a cycle helmet law is better(well thats the argument I'm being presented with).. this conclusion appears based on this url: http://cyclehelmets.org/1194.html.. which, well, doesnt fill me with confidence. given that data.. what questions would you ask.. what else would you want to know to understand the efficacy of cycle helmets?my

My questions in the argument so far are .. for a change of roughly 2% , what was the sample size, and error bars on that survey, how are you implying the significance of your data.to what extent have you modelled, and how does that population react

how

How would you go about interpreting/parsing the meta survey shown at that link, how do you make sense of that kind of information. how do you communicate the difference between percentage and actual figures in studys..

I guess what I'm saying is that I've this gut feeling.. I'd rather hit my head inside a helmet than not, but I've been presented with a dataset that purports to suggest that helmets dont help, .. what would you do, what should I do. my first instict is to ask more questions, is that going to work ?

I've got into a bit of a hoo-hah about cycle helmets and rather than the specifics, I wanted to ask about a general approach. I've been presented with some statistics that are preported to show that not having a cycle helmet law is better(well thats the argument I'm being presented with).. this conclusion appears based on this url: http://cyclehelmets.org/1194.html.. which, well, doesnt fill me with confidence. given that data.. what questions would you ask.. what else would you want to know to understand the efficacy of cycle helmets ? my questions in the argument so far are .. for a change of roughly 2% , what was the sample size, and error bars on that survey, how are you implying the significance of your data.to what extent have you modelled, and how does that population react

how would you go about interpreting/parsing the meta survey shown at that link, how do you make sense of that kind of information. how do you communicate the difference between percentage and actual figures in studys..

I guess what I'm saying is that I've this gut feeling.. I'd rather hit my head inside a helmet than not, but I've been presented with a dataset that purports to suggest that helmets dont help, .. what would you do, what should I do. my first instict is to ask more questions, is that going to work ?