This is a really geeky, but fun, examination of the math behind iTunes’ “random” playlists.
August 31, 2005
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This is a really geeky, but fun, examination of the math behind iTunes’ “random” playlists.
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Tim and I have been dogleg sure that the algorithm behind the “random” playlists is anything but…
I have at this present moment 3492 songs on my iTunes for the equivalent of 10.3 days.
98% of the time I listen to iTunes on “random”. That’s at least 6 hours a day, and I’ve had this computer and this iTunes for 5 months
Number of songs that have NEVER been played:
1912
Methinks the random est weighted.
Comment by Katherine — August 31, 2005 @ 7:27 pm
Have you given any of the songs star ratings? The article talks about how the star ratings change the frequency of random play.
Comment by JasonY — August 31, 2005 @ 7:51 pm
heh.
Like I can be bothered…
You know how many songs I’ve given star ratings to?
13.
To me the star ratings are a bizarre concept anyway. Obviously I like the song enough to have paid money for it in one form or another. I personally don’t see myself keeping a ‘one-star’ song on my hard drive taking up space.
Yes, it’s a wierd outlook when ‘The Night Chicago Died’ and the 4th movement of Beethoven’s 9th are of equal relevance to me.
Comment by Katherine — August 31, 2005 @ 8:33 pm