I’m sure some people will have a lot of interesting thingsto say about this preliminary analysis, so I have included some logic as well. Of course I would like to have a lot moredata, but…..
(calculated by an average of averages i.e. 15-30K = 22500miles)
The average mileage of MS that have not had a “failure” yet à20526 miles
The average mileage of MS at failure à 21562 miles
This is a key datapoint. On average (all other variables being the same) you would expect theaverage mileage of people who haven’t had a failure to be exactly half of the averagefailure miles. i.e. 10263 miles
And, since Tesla has been ramping up there production, theoverall average of mileage of cars without failures should be even lower thanthe expected 10263 average….. But thisis not reflected in the data set. I evenremoved the possible outlyers of (1) 75-90, and (3) 45-60, and the data isstill skewed…
Possible effects.
1) The people that have recorded previous failures aremore sensitive than the more recent buyers… (not really likely)
2) Tesla is now less sensitive to replacing the failure innewer cars than older cars (maybe)
3) There is a design or manufacturing cause that has been changed(maybe)
4) Data is skewed, people with newer cars are not voting,etc… (maybe)
5) People that have yet to have a failure will eventuallyhave them at very high miles (not likely, the limited data on failures isforming a normal distribution centered on 21.5K with a std. dev. of 8.6K)
6) Model, driving habits, climate, (not likely, would haveexpected to see a non-normal distribution in the failed miles as these shouldhave linear dist. across person to person, place to place, model to model. I can explain this one more if necessary)
7) Driving regen mode (Stand vs Low) or other single pointbinary failure cause (maybe but…., based on the tight dist of data in thefailure miles, I would believe Tesla would have easily identified these longago)
Of course not enough data yet, but based on what we have, inorder to effect the distribution shift like this with the number of MSreporting, the “reduced likelihood of failure” MS’s would have to be into the 15K and overdataset. If the average mileage per yearis 15K miles, that would put a shift in the likelihood of failure at around 1.5years ago. Unfortunately if the designchange (#2) was recent (6months or so) this would have not created thiseffect. Whatever created this effect hadto be in the 15K miles and over population. I really hope the change in dist is because of a design change a while ago and not sensitivityby Tesla to the issue but… to answer this would take another poll.
Hopefully we’ll get more data to so I can test somesignificance.