You don't know what you don't know

This post is for all of us that don't have the top skills. I have tested for a full year now and have not been able to improve my best times. These times will get you wins in District, but very slow times with the Pros. I build car after car and with a bit of tweaking, get the same old time. In the good old days of graphite, I could do a finger spin and find the best wheels and axles to put on the back of the car. One also knew if the spin wasn't up over 25 sec, you had work to do. With oil, which wheel is causing the wobble? Is my FDW so slow it doesn't matter what I do to the the rear wheels?
I wanted a faster way to say absolutely, process A is better than process B and with my big variations in building skills, that was coming along slow.
Wouldn't be nice to be able to test wheels and axles one at a time and get a reasonable result? I think I have at least solved the problem of isolating a single wheel & axle to test. I never liked the idea of snapping a 2 oz. ring over the wheel and measuring time to spin. The expensive rigs that spin the wheel at a certain frequency and then let it slow down while you measure something do not accurately put the wheel through the correct acceleration you would get from running the car on a track. One of the ways to discover process variation is to be able to compare some of the best units to some of the worst units. That accentuates the differences and usually they can be seen and corrected. I have no idea if one wheel is better than another. So, I made a test rig that does what I need. I tested 2 wheels I thought I did exactly the same and 2 axles I thought I did exactly the same. The wheels were good Dynasty Rage Xrtemes, and the axles were BSA Xtremes. I am not showing all the combinations because I have not run them all, but I am sure I now can tell car building problems separate from wheel & axle problems, and with the ability to test individual wheels & axles, I hope to make some progress. When I saw that the two wheels were not identical, I put a white dot on the slow one. So here is a sample of testing three different Lube processes.
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