Volume X, Issue 4, Page 91

How we doin’?

ow we doin’? I hear that expression about three or four times a day.
It kinda drives me crazy, but I’m sure you hear that from your bossmen at your job as well.

So, how we doin’ this far into the NHRA season? We are about 20% through the scheduled NHRA events and have enough data from the fuel and Pro Stock car classes, to take a gander at who is hot and who is not and to talk about some of the current issues.

Speaking about enough data to see trends, how about NHRA changing the weight breaks (again) on the bikes after one race? I’ve demonstrated in past articles that even with good amounts of data those weight changes probably were not warranted. My question is how do you make a change with one data point, as they did after the Gainesville race? No statistician would verify any kind of trend with one data point (aka the Gainesville race). Thus, I don’t follow how you can levy a weight change based on one race. I guess the answer is NHRA doesn’t look at the statistical data and maybe it’s more of a gut feeling or observation. I’m sure these are hard calls to make, but from a pure statistical standpoint, they have not proven valid.

Next hot topic, track prep and poor eliminations at most of the events this year. The buzz is that everyone is up on the tire over this. Even our own DRO big guy has wondered about this topic at least a couple of times. What does the data say? First, let me explain how I measure this stat. I have two stats regarding what we would call statistically good eliminations.

One is how many times you see a car go all the way down the 1320 without blazing the tires or shutting off or blowing the engine. There are 15 “races” in each class at every event, so there is a potential to see 30 cars go down the track under full power. If they do not, I don’t record their elapsed time and I classify the run as an aborted run. Thirty cars under full power at one event would be 100%. I call this stat Percent of Good Runs.

The other is how many good elimination “races” there were at the event. There are 15 “races” so, 15 side by side runs, is 100%. I call this stat Percent of Good Elims.

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