Yeah, but...
With a system that is referenced against a "central tendency" - in your example, a median - you don't need ALL of the examples of one make/model to be well funded to skew the results.
Over a large number of examples, it is enough if BMWs (an example but not a hypothetical, I think) are
more likely to be well funded, than would be the case if funding level were randomly distributed among ALL of the possible make/model choices.
Similarly, the results really get wacked if there are NO well-funded examples of a particular make/model running.
My whole point (I know, again) is that the input variable considered when making the adjustment - finishing position - is itself an intermediate outcome, the result of OTHER, much more fundamental and wobbly variables.
Further, the influence of the make/model of car on finishing position
might well be very small, relative to those other factors. This is totally OK if we are willing to accept that what we are actually handicapping is a sum of those variables including (a) driver skill (and a sub-variables that make it up), (
engineering prowess, © testing time, (d) tire allocation, (e) dyno time, (f) track familiarity, and (g) reliability - itself a direct product of the parts and labor that can be thrown at the car.
ALL of these factors are influenced by $$$ so at the end of the day, it might be a more accurate system to just give lead to the guys/gals who have the most money to spend - if we are trying to equalize on-track competition...
K
[This message has been edited by Knestis (edited November 21, 2003).]