Words contained in more than one list are trained more than once

If the word is in several lists it will be trained until it sleeps, the training data is unique to each word, so progress made when training the word in one list is by design considered when training the word in the other list.

That is a word that is not sleeping and is contained in several lists will be trained wherever it appears to be until it sleeps - or is memorized. 
For techies: All training progress for one word is associated to the word, independently on the number of lists a word is in, so a duplication of trainings is not possible!

Hi Klaus,

Yes, and just because a word is only available once in your DB, the applications should have the intelligence to present that word only once in a training session, undependly of to how many lists a given word belongs to.
This is the advantage of learning with a computer vs learning with paper cards, which physically can only belong to one list.
Now I have a computer based/aided solution, I have the opportunity to place a single word (or word references) in different lists and I want to make use of that opportunity. But I don't want that the applications presents me that words more than once in one single training session, as this is not only disturbing but also generates biased statistics, as if I am asked a word a second time, I will easily remember it, thus the statistics of that word will tend to be much too positive....