Efficiency

[micha.d]

...
Currently, only a few percent of the signals my station sends are used in strokes by the network, but looking at the signals I am quite sure that almost all of them are from real sferics. ...

I have a similar feeling but I'm not so sure what would be the necessary measure. I see many signals that are very sharp and I monitored the live view when a lightning was close by. While having the audio beep to announce a signal and the map with the lightning circles in parallel, I think that a lot of signals should have been from the lightning. Nevertheless the map did not draw a line or dot for my station and the statistic told it was not used.
So my problem was not only to reduce the number but to find the reason why obviously some good signals were not used. So, I repeat my idea that restarted all the discussion after a long time. I would like to see WHICH signal was used and WHICH NOT. For signals that were not used, it would be great to know how far away they were from a good signal. Was it some µs e.g. due to filters timeshift or reflections or was it at least some ms because it was not releated to a sferic at all. Even for signals associated to a sferic the accuracy in µs or meters would be helpful.
And if the data is available additionally a histogram would be a good statistical method to sum up the behavior of one station. That should show the time deviation in µs and the amount of signals used or not used. An ideal station would then have a very sharp peak of signals used and nothing around it. A station with reflections e.g. from hils or buildings close by would have a broader curve, where only some signals were used. And a station with a slow filter would have something like a shift by some µs leading to many not used signals.