Mine gets stuck in certain artists or themes it seems. I had it going one night and some friends were over and talking about keeping parity between gay men and lesbians in a political group they were involved in and I swear to you every song that came on was by Ani Difranco or Melissa Ferrick. It was odd.
I have a trick to solve that; I use a smart playlist with a setting of "Last played not in the past X days". That way, no song will be played too often.
(I actually have a bunch of playlists that combine based on rating/time pairs, so 5 star songs not in the past 14 days, 4 star songs not in the past 70 days, etc.)
Do you know if you can do that with shared iTunes libraries? I have a fileserver which shares out all of my mp3s via rendezvous and daap. I connect to that from my Mac to listen to music.
In iTunes, choose New Smart Playlist... from the File menu. You'll get a dialog box with "Match the following condition:" and a few other choices. To add additional conditions, press the "(+)" button at the right. This changes the box to let you require "any" or "all" of the listed conditions; most of my playlists use "all".
In my case, my "5 @14" playlist has two conditions: - rating is ***** - last played is not within the last 14 days
I also have "live updating" and "only checked songs" turned on. (I uncheck songs to remove duplicates of the same cut of the same song.)
I then have other playlists "4 @70", "3 @1yr", etc. The final step is a smart playlist which uses "Match any of the following" and simply lists "Playlist is 5@14", "Playlist is 4 @70", and so on. This puts them all together into one mega playlist.
One trick that works well with this and "live updating" is to turn on crossfade playback with a one or two second delay. This keeps iTunes from removing the song from the playlist before starting the next song, which would interrupt your listening....
Assume: average song length of 3 minutes; 3000 songs; the song selector is truly random.
What is the expected number of songs which will have been played ten or more times over the course of a week?
What is the expected number of songs that won't have been played at all in a week?
These are calculable numbers.
A quick-and-dirty handwaving kluge would be to figure that there are 7*24*60/3 = 3360 timeslots to fill with 3000 songs, so that the expected number of times a single song was played is 1.12, and plug it into the Poisson distribution.
Results left as an exercise to the student, who might turn out to be surprised.
Expected number of songs never played: 978.84 Expected number of songs played once: 1096.3 Played twice: 613.93 Played thrice: 229.2 Four times: 64.18 Five times: 14.38 Six times: 2.68 Seven times: 0.43 Eight times: 0.06 Nine times: 0.01 Ten times : 0.00
We'd expect to hear between either two or three songs played six times over the course of the week. There is a 43% chance that there is one song played (on average) every day.
no subject
Date: 16 Sep 2004 08:49 pm (UTC)no subject
Date: 16 Sep 2004 08:50 pm (UTC)(I actually have a bunch of playlists that combine based on rating/time pairs, so 5 star songs not in the past 14 days, 4 star songs not in the past 70 days, etc.)
no subject
Date: 16 Sep 2004 10:00 pm (UTC)no subject
Date: 16 Sep 2004 10:12 pm (UTC)no subject
Date: 16 Sep 2004 10:31 pm (UTC)I don't know that I want to solve it, but it's good to know I can...
no subject
Date: 17 Sep 2004 06:00 am (UTC)no subject
Date: 17 Sep 2004 06:01 am (UTC)no subject
Date: 17 Sep 2004 08:22 am (UTC)no subject
Date: 17 Sep 2004 10:57 am (UTC)no subject
Date: 17 Sep 2004 11:09 am (UTC)In my case, my "5 @14" playlist has two conditions:
- rating is *****
- last played is not within the last 14 days
I also have "live updating" and "only checked songs" turned on. (I uncheck songs to remove duplicates of the same cut of the same song.)
I then have other playlists "4 @70", "3 @1yr", etc. The final step is a smart playlist which uses "Match any of the following" and simply lists "Playlist is 5@14", "Playlist is 4 @70", and so on. This puts them all together into one mega playlist.
One trick that works well with this and "live updating" is to turn on crossfade playback with a one or two second delay. This keeps iTunes from removing the song from the playlist before starting the next song, which would interrupt your listening....
no subject
Date: 17 Sep 2004 02:32 pm (UTC)What is the expected number of songs which will have been played ten or more times over the course of a week?
What is the expected number of songs that won't have been played at all in a week?
These are calculable numbers.
A quick-and-dirty handwaving kluge would be to figure that there are 7*24*60/3 = 3360 timeslots to fill with 3000 songs, so that the expected number of times a single song was played is 1.12, and plug it into the Poisson distribution.
Results left as an exercise to the student, who might turn out to be surprised.
I just did the math
Date: 17 Sep 2004 03:13 pm (UTC)Expected number of songs never played: 978.84
Expected number of songs played once: 1096.3
Played twice: 613.93
Played thrice: 229.2
Four times: 64.18
Five times: 14.38
Six times: 2.68
Seven times: 0.43
Eight times: 0.06
Nine times: 0.01
Ten times : 0.00
We'd expect to hear between either two or three songs played six times over the course of the week. There is a 43% chance that there is one song played (on average) every day.
This has been an obsessive-compulsive moment.
Re: I just did the math
Date: 20 Sep 2004 05:33 pm (UTC)(I would have said so sooner, but there's no net access on the Mendocino County coast.)