I wonder if they take into account that more riders have Black helmets , and loud pipes then those who don't??? So statistically it would fit that more of them would be involved in an incident
I wonder if they take into account that more riders have Black helmets , and loud pipes then those who don't??? So statistically it would fit that more of them would be involved in an incident
The down under study I read corrected data for number of helmets in specific colors. The one thing they commented on was you couldn't check to see if people that select white helmets are more cautious then others.
An Australian study that found white helmets to be involved in 25% less accidents than black helmets. It also found light colored helmets to be involved in 19% less accidents than black.
The down under study I read corrected data for number of helmets in specific colors. The one thing they commented on was you couldn't check to see if people that select white helmets are more cautious then others.
Exactly, I minored in quatitative analysis in college and would like to see the data from that study. There are just way too many variables to adjust for that are outside any possible control factors in that type of experiment. Factors like:
1. Rural vs Urban riding
2. Blood alcohol content of all riders
3. Time of day/night
4. Weather
5. Safety training of riders
6. accident history of all riders
7. rider age/experience level
8. definition of loud pipes (dba reading)
We are on a Black Pearl Ultra, and I wear a Black Shoei. A black bike, black leathers, and black helmet, we visually present ONE LARGE OBJECT, instead of lots of pieces. Perhaps the silver might be cooler, don't know, but I do know that the Shoei has great ventilation options.