Hi Val.
Yes that\'s me - \"English Rory\".
I did notice a few events, such as Emo, where slow times did impact the points distribution. But you don\'t really see the effect of this at league level (except possibly on the brown?).

Maybe easier to think about an exaggerated example:
7 runners at 50, 67,68,69,70,71,and 100 minutes. Maybe the fast runner dropped down a course and the last runner has a bad day, whatever.
Current method, the slow guy increases the average time and the midpack get a bit more than 1000 because they are faster than the mathematical average.
IQR method, the fast guy gets a much better score, the midpack get 1000 on average (but more spread out)
Speed method, the midpack get approx 1000 but the fast person gets more points, the influence of the last finisher is diluted and the slower they finish, the less effect each extra minute has.
Formula1 method, the scores are exactly the same as if it were a photo finish.
Relative time method, in my formulation of it the winner gets 1000 with the midpack only getting 600 or so.

If there are particular events you have in mind, the data is there in the file and should be easily filterable, so let\'s have a look!

The idea of the superman method is kinda cool but would it be demoralising for the average runner?!