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pjm

I do something similar in iTunes. I have a playlist set up to include all songs in the library which haven't been played within the last "x" days (where I adjust "x" periodically to manage the size of the list.) Then I run random shuffle on that playlist (which, of course, drops songs as soon as they're played.) This counteracts both the effects of normal distribution (some songs will get played more than others, if the full list is available for full-time shuffle) and my own tendency to find something I like and then play it until I hate it.

The drawback is that I get unnaturally involved in the results of this random sorting - how long it's taking, for example, to get all the "last played in 2003" songs off the list. (Four still to go.)

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