Vad:
"So what does it exactly mean?
You looked at 20 different engines, operated under who nose what conditions and make a conclusion that the wear numbers are nothing special.
How do you know that some or all of those engines don't naturally show a significant amount of the wear metals?
Been operated under the extreme conditions, towed a trailer, seen lots of short trips etc?
Sorry, your data doesn't prove anything.
You chose an unscientific approach therefore it didn't produce meaningful results.. "
Vad, I disagree.
1) Twenty different UOAs is enough that unusual circumstances should be starting to average out. Also the patterns here are similar to those that showed up a few weeks ago when I did a similar survey with just ten UOAs. If the results were showing random fluctuations that would not likely be the case.
2) Chevron oils' really good results, for example (see my last follow-up post), are much more consistent than, say, GC's often-good results. A lot of people use Chevron products for tough duty, and OCIs here are as high as 10k miles (the max I used for all oils). If anything I bet fewer people are using GC for heavy towing.
3) You call this unscientific, but science is just the systematic search for the truth. This is exactly that. You can argue with the details, but this is a much more scientific approach to the matter than a non-quantitative rhetorical (theoretical) approach, although that is useful as well.
4) I've done some digging and come up with some results. You can argue all day those results aren't valid, but what is your basis in fact? Where are your proofs? How do you know what you're seeing isn't good valid information? It seems to me that if you disagree, then the burden of proof ought to be on you to show countervening factual evidence.
- Glenn