Hi One simple answer is that it’s not always 1:1 comparisons. The “three corner hat” approach is indeed used to compare three devices at one time. There are some issues with doing that. There are *lots* of papers on where the limits come from and what you need to do ( = pick fairly similar clocks) to eliminate most of them.
Bob > On Dec 26, 2018, at 11:30 AM, Chris Howard <[email protected]> wrote: > > > > I see the different forms of deviation measurements and they are all > one-to-one comparisons. > > Is there anything to be learned from doing mass data gathering? > > For example, if I had a device of relatively good resolution that would let me > timestamp the events from 100 different clocks, then questions about the > change of the mean of the cloud of events, distance from the mean of > individual > events, etc. could be obtained. > > One of many things I have learned hanging around here is that some > very very smart people have already thought of anything that > might come to me. > > It seems like, if there were a significant number of clocks involved, the mean > of the cloud of events would help cancel out positive and negatives and > particularly > remove the short term randomness ? > > So, has this sort of thing been done? > Why is everything one-to-one only? > > > > _______________________________________________ > time-nuts mailing list -- [email protected] > To unsubscribe, go to > http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com > and follow the instructions there. _______________________________________________ time-nuts mailing list -- [email protected] To unsubscribe, go to http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com and follow the instructions there.
