The issue is the use of UOA's and their accuracy/repeatability. As
@dnewton3 said in his comments earlier in the thread:
- these tests ignore the statistical variability regarding "normality" (though he does acknowledge the existence of variation, he does nothing to account for it)
- I'm not a fan of his "total wear metals" method; I don't believe adding data values for separate elements is a good way to understand "wear"
- singular UOAs are NOT by any stretch a proper way to compare/contrast one lube to another; small sample sets are rife with variability which cannot be accurately predicted without decent quantity of data (30 samples min)
If I have a Chronograph with 5% variability and I fire one round of each: Hornady Whitetail, Federal Blue Box, Winchester Western, and the results stack like this:
- Hornady: 2,732fps
- Federal: 2,756fps
- Winchester: 2,714fps
And conclude that the Federal is the fastest. This is the same test, with the same parameters.
Would you describe these results as conclusive?
In fact, technically, the Chronograph test is more direct than a UOA, because you are measuring bullet speed directly, while with a UOA, "wear" is being inferred from parts per million contamination measurement of a lubricant with a tool that's blind to contaminants with a size above ~5 microns.
The UOA approach is more akin to doing a tire wear comparison, but determining wear by measuring the amount of rubber and other tire compound constituents collected on a 4x4' section of the track.