by ohthatpatrick Thu Jul 26, 2018 2:12 am
Think of it as a binary: you're biking on the left or on the right.
Let's look at these three studies:
study 1: 15% of the bike-auto collisions were with riders on the left.
so ... 85% of the collisions were with riders on the right
study 2: 17% of the collisions had riders on the left,
so 83% had riders on the right.
study 3: 25% left side collisions / 75% right side collisions
Why on Earth would the author look at these and conclude that "Biking on the left is MORE LIKELY to get you in a collision?"
In all three of those studies, collisions with right side riders were at least four times as common.
The only way this argument could make sense is if the number of riders on the left is WAY smaller than the number of the riders on the right.
If only 10% of RIDERS go on the left side,
but 15-25% of COLLISIONS involve riders on the left side
then the left side looks more dangerous.
(If which side you rode on made no difference, then we'd expect that if 10% of riders are on the left side then 10% of collisions will be on the left side. Seeing any statistic HIGHER than the proportion of riders on the left makes it seem like the left is MORE dangerous, whereas seeing a statistic that was lower than 10% would have made the left seem SAFER than the right side)
If people were just as likely to bike on the left as on the right, then the author's three studies work totally AGAINST her conclusion. In order for us to make sense of whether this expert is saying something illogical or legit, we need to know about the underlying % of riders on the left side.
If the % of riders on the left side is lower than 15-25%, then the author's got a good case.
If the % is higher than 15-25%, then author's got it completely backwards.
That's why we can't evaluate the argument until we get (B).
Hope this helps.