Hmm... wondering if i got this right...

basically the Error is equal (average lap time) - (time of fastest lap)?

Coming from a highschool stats background... basing this on a crap assumption that lap times are approximately normally distributed, (i guess if we have many lap times, and keeping all else consistent (not really possible) it "should" approach a normal distribution. If someone has a real stats background... do correct me...), then the Error is basically half the "width" of the standard distribution curve?

The goal then is to decrease the error (making the "width" of the peak smaller)?

Could I re-understand this as measuring the standard deviation in lap times as a better indication of "better driver"?

Sorry for the questions... I get lost very easily...