Thoughts on the Apple TV: Hard Drive Perils

Part of the Thoughts on the Apple TV Series

  1. Thoughts on the Apple TV: Hard Drive Perils
  2. Thoughts on the Apple TV: Format Woes
  3. Thoughts on the Apple TV: A Possible Alternative

AppleTV

So the much-anticipated Apple TV has shipped and, of course, the extreme early adopters are having a field day tearing the thing apart to find out what it can do. Some clever folks have already been able to install larger hard drives, more video codecs, and even the full version of Mac OS X, rendering what Cult of Mac calls a “Mac Nano.”

To be sure, it looks like an impressive device. But I probably won’t be buying one for two principal reasons, neither of which is the fact that I don’t have an HDTV set.

Reason 1: The perils of hard disk storage

Having been a participant in the digital media revolution for 10 years, I see some parallels between the state of video today and the state of audio in the late 90s. A decade ago, you were lucky if you had more than 10 GB of internal storage in your computer. With the overhead of operating systems and applications, there was a limited amount of storage on that drive for the MP3 scene’s early adopters. Even at just 3 MB per song, that drive would fill up fast. An external drive would cost you $300-400 for 6 GB of space, but that too would fill up before too long. At the time, one solution was the small, but growing market for writable CDs, which cost about $2 for a single 650 MB disk (in addition to the several hundred dollars for the 2X burner itself).

Similarly, while storage conditions have kept pace with growing file sizes, today’s digital video market faces some of the same logistical hard disk challenges for the end user. Apple’s own estimates say that a 45-minute TV show will run you 200 MB and a full-length movie is 1.0-1.5 GB. A modest collection of 100 movies will cost you 100-150 GB of hard disk space. Add to it complete TV seasons and expect that to grow substantially. Using Apple’s numbers, the entirety of the Star Trek franchise would use ~155 GB of disk storage.

To be sure, today’s hard drives are indeed up to the task of holding a large video library. 500GB disks can be had for less than $200, ensuring plenty of room for an expanding selection of movies. But whether you encode videos yourself or buy from the iTunes Store, that library will represent a hefty investment of time and money. And the most dreaded event in computerdom can wipe it all out in an instant: a hard drive crash.

Any reasonable, non-risk-taking person is going to want to implement (and practice) a regular backup plan for their media. The most convenient choices are to purchase a second (and possibly third) drive to house copies of all the video files, or make regular trips to the DVD-R burner for offline backups. The hard drive option would offer nearly instantaneous recovery to an iTunes+AppleTV-based media system, but it would double (or triple) your upfront costs. Additionally, if and when one of those drives fails, it will have to be replaced at the current market price for hard drives.

True, the arguments I made in defense of digital music can apply to digital video as well. But, for the present, there’s a matter of scale which makes the effort more cumbersome for video. Plus, a music library containing a large number of songs with short playing times benefits more from the instant accessibility and portability of the iTunes+iPod model than a video library with relatively few entries and long playing times.

Thus, for me, the more appealing scenario for personal digital video is that of the burned DVD because, with the right DVD player, your “backups” can double as working copies. Thankfully, it’s also much, much cheaper per megabyte than CDs were 10 years ago.

Which brings me to:

Reason 2: Incompatible video formats.

Star Trek back at iTunes Store. Features original first season and remastered episodes

remastered trek on itunes

Yes, after nearly two months offline, Star Trek is back on the iTunes Store. The store has separated the newly remastered episodes from the original broadcast versions. Still, only episodes from the first season are available.

iTunes remains the only source to buy and download the original series remastered in the uncut versions.

The first season of Enterprise has also returned.

City on the Edge of Forever (remastered)
City on the Edge of Forever (original)

What’s in a star rating?

Yesterday, I wrote a detailed article about the new formula I’m using to quantify the overall quality of albums in my iTunes library. It’s been working for me, but I realized that everyone rates their music differently. Webomatica, for example, explains in the comments that his song ratings are relative to other songs by the same artist.

So I’d like to explain the thought process that goes into my rating system. I’ve been using the same star rating criteria for years and that system has gone a long way toward helping me maintain control over my sprawling library. It allows me to quickly construct playlists of quality music, which is the single largest goal I have when managing and utilizing my library.

When thinking about a song’s rating, I basically need it answer one question: How likely I am to want to hear this song again? They are not designed to attribute a greater cultural value to a song, though the song’s general artistic worth plays a large role in the rating it receives. I’m more likely to enjoy a high-quality song and thus want to listen to it more often.

The rating is essentially a weighted vote for helping me determine how often a particular song gets played in the future. The breakdown looks like this:

  • Rating: ★★★★★ 5 stars: This song is excellent. It shows poise and craftsmanship and I’m pretty much guaranteed to enjoy this one the next time.
  • Rating: ★★★★☆ 4 stars: This song is very good. Well done and not off-putting, I’ll most likely enjoy this again, but it’s not brilliant enough to be a 5. The majority of songs in my library fall into this rating.
  • Rating: ★★★☆☆ 3 stars: This song is good. I’m not going to go out of my way to hear this one, but if I’m listening to an album beginning-to-end, I won’t skip it.
  • Rating: ★★☆☆☆ 2 stars: This song wasn’t very good. I’m fairly certain I’ll never want to hear it again. These songs are candidates for deletion. If any song stays at 2 stars for long enough, it is either upgraded to 3 stars or removed from the library.
  • Rating: ★☆☆☆☆ 1 star: Not used for rating purposes. Instead, songs that are marked with 1 star are taken out of circulation, usually because of encoding problems or bad ID3 tags. Its normal rating is returned when the problem is solved. Additionally, special audio such as comedy or spoken word is automatically given 1 star to keep it from mingling with music.
  • It is also worth noting that my ratings are not static. As my tastes fluctuate, I’ve been known to change them. It doesn’t happen often, but sometimes a 4 star song might become a 5. Or it could fall to a 3 if whatever aspect of the song I found appealing the last time I heard it is missing. In one extreme example, a song went from 5 to 2 stars and was subsequently deleted.

    There you have it. That’s where I’m coming from as I discuss song and album ratings on this site. I’d be interested to know how other people handle ratings in their iTunes libraries?

    In search of a definitive album rating formula

    When it comes to my iTunes library, I’m a regular statistics nut. Sure, my library exists primarily for my own enjoyment, but it contains so much organically-compiled data about my habits and tastes that I can’t help but want to take a look at it and find out what the data says about my interests.

    But for a while now, I’ve struggled to quantify, tabulate and analyze the overall sense of my library. Which of my albums albums are truly the greatest? Which artists, when the sum of their parts are combined, are really my favorites? And by how much? I want numbers.

    None of the iTunes stats options available at the moment give me the type of results that I want. The Album Ranking AppleScript provides a simple average that skews toward albums with fewer tracks. SuperAnalyzer provides a top 10 list that is skewed toward albums with more tracks.

    Most iTunes stats tools simply provide averages or totals of play counts and/or star ratings. Averages, while somewhat useful, can be misleading. An album could have a handful of awesome songs and a bunch of filler and still rank as well as and album that’s consistently good, but without much breakout material.

    And that can be frustrating to me, because, in terms of album or artist worth, I tend to value the ones with consistent performance.

    Take, for example, my recent run-down of Air’s discography, specifically the albums 10000 Hz Legend and The Virgin Suicides. After many years of listening, my artistic impression is that Virgin Suicides is ever so slightly the better of the two. The songs on Legend vary from excellent to clunkers. Suicides is overall pretty good, with only one exceptional track. However, averaging my ratings shows that Suicides is a 3.85 while Legend rates as an even 4.

    So, to reward albums that don’t veer wildly around the quality wheel, I’ve developed my own album rating formula that takes into account the consistency of all the star ratings on a given album.

    The Formula

    album rating = (mean of all songs + median of all songs) - standard deviation of the set

    The mean sums up the whole of the album. The median shows the state of the album at its core. The standard deviation indicates the variety of the individual ratings. The result is a number on a scale of 1 to 10. (Alternately, divide that number by 2 to return the result to a 5-star scale).

    Let’s take a look at the formula in action. Suppose we have two albums with twelve songs each. The first is generally excellent, but varies in quality. The second is good stuff throughout.

    Ex. 1 Ex. 2
    5 4
    4 4
    5 4
    2 4
    4 4
    5 4
    5 4
    2 4
    5 4
    3 4
    5 4
    3 4
    Mean 4 4
    Median 4.5 4
    total 8.5 8
    STDEV 1.21 0
    Score 7.29 8

    This table shows the individual star ratings for the two theoretical albums, as well as all the statistical data, as calculated by Excel. As you can see, both albums average score is the same (4) and Ex 1 even has a higher median than Ex 2. But, because the quality of Ex 1’s songs vary a great deal, its standard deviation is substantial, so much so that its album rating becomes 7.29 (or 3.645 on a 5-star scale) when my formula is applied. Ex 2’s score suffers no penalty and its score remains 8 (4). In this case, the standard deviation awarded Ex 2 a bonus for being of uniform quality.

    Let’s take a real world example, the two Air albums I mentioned above.

    10 kHz Legend Virgin Suicides
    4 4
    5 4
    4 4
    5 3
    5 3
    4 4
    3 5
    4 4
    3 4
    3 4
    4 4
    4
    3
    Mean 4 3.84
    Median 4 4
     
    total 8 7.84
     
    STDEV 0.77 0.55
     
    Score 7.23 7.29

    When the formula is applied to my ratings for each, the scores for 10000 Hz Legend and The Virgin Suicides become 7.23 (3.62) and 7.29 (3.65), respectively. So factoring in the standard deviation results in a score that more closely reflect my thoughts of those two albums.

    So what does this mean? I’m not sure exactly. In practice, I could whip up some listy goodness and see which albums are truly my favorites. A comprehensive analysis would be cool. I’d love to see the distribution of my album ratings. However, that would require more programming skills than I have. Though that could be a good project to help me learn.

    Out of curiosity though, I have picked 10 albums, just to see how they rate. One provision, of course, is that every song on an album must have a rating before the album score can be calculated. These ratings are on a 5-star scale.

    AVG My Score
    Radiohead – OK Computer 4.5 4.41
    Air [french band] – Moon Safari 4.5 4.39
    Nirvana – Nevermind 4.5 4.24
    Mouse on Mars – Radical Connector 4.33 4.23
    Ratatat – Ratatat 4.45 3.97
    Nine Inch Nails – With Teeth 4.31 3.77
    The Strokes – Is this it? 4.09 3.7
    LCD Soundsystem – LCD Soundsystem 4 3.68
    Basement Jaxx  –  Remedy 3.73 3.51
    Prefuse 73 – One Word Extinguisher 3.82 3.47
    Weezer – Make Believe 3.58 3.21

    This is by no means a top 10 list, but it is interesting to see where things ended up. It’s also interesting to see how minor fluctuations in star ratings can change the final score. For instance, if that Ratatat album had one more 5 star song in place of a 4 star song, its median number would become 5 and its album score would jump to 4.51. Lower a 5 star to a 4 star and the score only drops slightly to 3.93. I don’t know if this is a flaw in the formula or a reward for albums that have a lot of good songs.

    Problems and issues

    Small data sets. These are troublesome in all statistical circumstances and this formula is no different. Albums with only one song will, by definition, not have a mean, median or standard deviation, and that kills the formula with a divide-by-zero error. Also, because the formula uses the average rating as a component, albums with a low number of songs will tend to skew one way or the other.

    In my library, Boards of Canada’s EP In A Beautiful Place Out In The Country has four fantastic songs and ranks at 4.63, higher than anything on that list above. As a release, I’d say that’s accurate, but I’m sure it doesn’t surpass OK Computer. I would be interested to see a chart of how the album score changes as the number of tracks on an album increases.

    Additionally, I haven’t figured out a way to rank partial albums, i.e. albums where I either don’t own all the songs or albums where I’ve deleted songs I didn’t like. For now, I’m just excluding them altogether.

    Still, I’m fairly pleased with the results I’ve been getting as I run various albums through the formula. It’s working for me and my own song rating system, but I’m curious to see how it works with someone else’s.

    Fortunately, Webomatica has posted his song-by-song ratings for The Beatles’ Sgt. Pepper’s Lonely Hearts Club Band. Using his numbers, the average for the album is 4.38, while my formula renders a 4.28. I’d say that’s a consistently good album.

    ::

    Here’s a Microsoft Excel file you can download. Plug in your star ratings to find the album score. AlbumScore.zip

    Speeding up Podcasts part 2:
    Using Audacity to speed up MP3s

    Part of the Faster Podcasts Series

    1. Speeding up podcasts:
      Listen to more, faster – Part 1
    2. Speeding up Podcasts part 2:
      Using Audacity to speed up MP3s
    3. Speeding Up Podcasts part 3: Make Yourself an Audiobook

    faster podcast

    I established in the previous article that with all the interesting content out there, it can be quite daunting to listen to all those great podcasts. The ease with which iTunes lets you discover, subscribe to and manage podcasts can quickly lead to an overwhelming number of episodes and timespan to get through. "Podcast Overload" is a very real possibility.

    I also noted in that article that Apple’s Quicktime Player application can be used for faster playback… if you happen to be sitting at a computer. But what if you want to take advantage of the "pod" part of a "podcast" and listen on-the-go?

    Luckily for us all, there are a couple of ways to speed up your spoken word audio before you pack it up and take it with you. Specifically, there are two main approaches, and each has its advantages and weaknesses. The first method involves using an audio processing program to decrease the total running time of a podcast before copying it to your iPod. Alternately, if you have an appropriate model (4G and later or any Nano), you can format your files so that the iPod itself adjusts the playback speed in real-time.

    This approach has two principal advantages:

    1. Flexibility: Audio processing gives you the greatest amount of control over the final playback speed of your podcasts. Speed it up by 10% or 200%, whatever works for you.
    2. Organization: Because you are editing and replacing the original downloaded podcasts, you can maintain the organizational functionality present in iTunes + iPod.

    However, this approach comes with trade-offs:

    1. Processing time. Running an audio file through a sound editor takes time. If you want to increase the playback speed, you have to run it through the processor before dropping it onto your iPod.
    2. Potential Zero-sum changes. Whether a project is even worth attempting depends on the likelihood of a net gain in time. If it takes you 5 minutes of computer use + processing time to shorten audio by 4 minutes, then you would have been better off just listening to it in the first place. This consideration is increasingly relevant for older computers with slower CPU speeds and longer processing times.
    3. Inflexibility. Ironically, the other disadvantage of this approach is inflexibility. Once you’ve processed the file, you’re stuck with it. If you’ve happened to set the speed to a rate that is uncomfortable or impossible to listen to, then you’ll probably have to re-download the podcast and try again.

    audacity icon

    Bearing all that in mind, just how does one speed up a podcast? Easy: Audacity, an open-source audio program that’s packed with features, cross-platform, fairly simple to use, and of course, free. In fact, the program is most likely used in the actual production of many of the podcasts you’ll be modifying.

    Additionally, you’ll need the LAME mp3 encoder to save your processed files back to mp3 after Audacity is finished with them.

    Audacity also supports batch processing (called "Chains" in its parlance) that allows you to open multiple files, run filters, and save back to mp3 with just a couple of clicks. Not bad, but how’s it work with iTunes?

    In basic form, the workflow looks like this:

    1. Podcast is downloaded. MP3 file is saved into your iTunes Music > Podcast folder and the appropriate entry appears in iTunes’ Podcast panel.
    2. Said mp3 file is opened in Audacity. Modifications are made.
    3. New, faster mp3 file is exported.
    4. Original mp3 is replaced.
    5. iTunes entry is updated with a shorter playing time.
    6. Profit?

    Alright, now that we know what we’re in for, let’s walk through the procedure.

    Install and Configure Audacity with LAME mp3 encoder


    click to enlarge

    Download Audacity and LAME encoder for your system. Version 1.3 (beta) is required for batch/chain processing.

    Now to configure.

    Once Audacity is installed, we need to tell it where the LAME encoder is. So, launch the program and select the Preference menu item. Under the file formats section, choose "Find Library" next to MP3 Export Setup. Also, choose the bitrate to save your modified podcasts at. Most podcasts are published between 64kbps and 128kbps. In my experience, 64kbps provides sufficient quality for listening to spoken word, though you should adjust it to fit your preference.

    Next, we just need to set up a Chain. Chains are like scripts inside Audacity that automate a string of operations. For our purpose, we need to build a chain that imports the mp3, changes the tempo, and re-encodes it back to mp3. It’s really easy, so let’s get it set up.


    click to enlarge
    1. From the File menu, select "Edit Chains." You’ll be presented with a box showing the pre-configured Chains.
    2. Click "Add" and give the Chain a name (ex: 25%Faster)
    3. Then click "Insert" to add a step to the process. You don’t need to tell the Chain to import a file. That happens automatically when you run it. So the first thing to do is select "Change Tempo" not Change Speed. Change Speed will affect the pitch of the audio, like speeding up a cassette tape or turntable (aka "chipmunking"). Change Tempo leaves the pitch as it is.
    4. In the Parameters field, enter to amount to speed up by. 20% will result in 48 seconds for every 60. 200% will result in 30 seconds for every 60.
    5. Next, click Insert again and select "ExportMP3." That will complete the Chain.
    6. At this point, you can create multiple Chains for different speeds if you want. One for 15%. One for 50%, etc. When you’re done, close the Chains window.

    Two steps, that’s it. Change tempo -> ExportMP3.

    Let’s Get Speedin’

    Now that Audacity is all set up, we can do the actual processing.

    1. From the File menu, select "Apply Chain" and select the one you created earlier. Click "Apply to files."
    2. Navigate to where your podcast files are stored. Unless you’ve changed your iTunes settings, they’ll be in your "iTunes Music" folder, in a folder called "Podcasts."
    3. Select the files you want to speed up. On a Mac, hold down the Command/Apple key to select more than one file. On Windows, use the Control key.
    4. Click "Open." Audacity will begin processing the files. When it’s finished, you’ll see a folder called "cleaned" with your originally downloaded files. Inside that folder is your shiny new faster podcasts.
    5. Move the new files out of the "cleaned" folder. When asked if you want to over-write the existing files, say yes.
      IMPORTANT: If you want the option of re-processing the files at a different rate, copy or duplicate (don’t just move) them to another folder before replacing.
    6. Open iTunes and click on Podcasts from the source view. Select the episode that you modified. The time should change, but if it doesn’t, get info on it. That will force iTunes to refresh the display.

    podcast before and after

    Ta-da. Welcome to the world of faster podcast listening. The next time your iPod is updated, the new faster podcasts will be copied and you can take them on the road.

    Star Trek sold out at iTunes Store?

    UPDATE March 26: After nearly a two month stint of being offline at the iTunes Store, the Star Trek TOS is back. The complete first season is available in its original broadcast form. Additionally, newly remastered episodes from the first season are available in their own section. iTunes is still the only source for them in their uncut form.

    ::

    star trek on itunes

    Star Trek tv shows are suddenly missing from the iTunes Store. Both the Original Series and Enterprise are completely gone. The movies are still there though. I wonder what’s up with that.

    A quick scouring of the internet doesn’t turn up any information, so who knows.. Maybe the store is just out of stock… 🙂

    Seriously though, this is surprising. I don’t have any figures, but I bet the shows were selling well. Especially the new remastered episodes that were available. The iTunes Store was the only place to download uncut versions of select remastered episodes.

    According to the boards at startrek.com, the eps were pulled for a “technical reason.” We’re left to speculate what that actual reason was, but it would be pretty swell if CBS and Apple were building a Star Trek portal/store-within-a-store/wormhole inside iTunes.

    In defense of digital music files

    Volkher at livingwithmusic posted the other day a rather thoughtful treatise against digital music files as a medium. He does a good job of bringing up all the relative shortcomings of abandoning physical media, including the effort required to encode/download and properly organize/tag files as well as the burden and cost that goes into storage and preventative backups. And he’s right on the money about picking an audio format that may or may not be around for the long haul.

    It’s a valid argument; you should go read it. But as one of those “young folks” who’s been living with mp3s and related files for 10 years now, I’d like to offer a friendly rebuttal, because digital music files do have much to offer, despite the occasional hassle.

    Firstly though, I’m going to side-step rights-management and other DRM-related issues. It’s quite possible to build a large collection of digital music and never touch the stuff. Plus, with all the talk lately about eliminating DRM from the marketplace entirely, it may well not be an issue in the near future.

    Carrying on then, why embrace digital music? In my case, the number one reason is convenience and flexibility. Using iTunes, it only takes a handful of clicks to set up a playlist that will last all day. That playlist will only include songs that I like, ignoring ones that I might not care for. I can listen to one hundred different artists as easily as I can listen to Radiohead’s complete discography, including live shows and unofficial tracks. No need to organize or hunt for physical CDs, or interrupt the music to change discs or skip ill-favored songs.

    With some extra up-front effort and Smart Playlists, I can turn my library into a self-refreshing and randomized jukebox that I can assume control of at any moment. With an iPod, I can take it all with me, wherever I go. It truly is awesome stuff.

    Another reason I enjoy digital music is the physical space savings. I still have a large number of CDs, even though the vast majority of my music listening is done via iPod or iTunes. Finding a place to put all of those discs has proved challenging and, after 19 months of living at my current house, most of them are still boxed up and hard to access. That’s fine though; they can stay in the garage/closet/attic because I already have everything I need on my hard drive.

    Additionally, expandability is a significant motivation for taking to digital music. As a physical collection grows, the tyranny of the shelf kicks in, which ultimately limits the collection’s size and imposes increased time-overhead on organization and media retrieval. iTunes offers no practical limit to the number of songs it can manage. Hard drive space and memory are the only true limitations (though a computer’s processor speed can become an issue, especially if there are a large number of live-updating Smart Playlists). Currently, I’m storing about 18,000 files (between my library and my wife’s) + a backup drive in the same physical space as about 6 CDs. I could double the amount of songs and hardly use any more desk space.

    Of course, this digital utopia is not without its pitfalls, many of which Volkher mentioned. Number one, by far, is data security and integrity. Hard disk drives are notorious for failing, whether though a mechanical fault or corrupted disk header. And they usually fail inexplicably and at exactly the wrong moment.

    A hard drive crash can obliterate a library of thousands in an instant, often with no warning whatsoever. I know; it’s happened to me on multiple occasions. By contrast, a scratched CD might lead to the loss of that CD and nothing more.

    Thus, a workable, redundant backup system is necessary to protect against irrevocable and irrecoverable catastrophe. The cost and effort of doing that, of course, increases with the amount of data to be backed up. A 10GB library is easier to deal with than a 100GB.

    In his post, Volkher posits a figure of one terabyte of digital music, once all is said and done and a large collection is encoded and/or downloaded. But is that a meaningful gauge? Just how much music will fit in a terabyte?*

    • At 128kbps, the bitrate of standard iTunes-purchased AAC files, one terabyte is 18,641.35 hours / 776.73 days / 2.12 years of non-stop, continuous music listening.
    • At 191kbps, the average bitrate in my library, one terabyte is 12,492.63 hours / 520.53 days / 17.1 months of continuous listening. That number is about 11 times the size of my current library.
    • Suppose you’re a true audiophile and only deal with lossless encoding, such as FLAC or Apple Lossless format. The average bitrate of all the lossless songs in my library is 728kbps, which is still nearly 3,277.6 hours / 136.6 days / 4.48 months worth of continuous audio.

    *these numbers do not take into account file overhead, album art, etc. However, it seems pretty clear that one terabyte will hold a lot of music.

    You’d have to own a seriously HUGE collection (roughly 4000 full-length CDs, lossless compression; 7500 CDs, extreme quality 320kbps mp3s) before a terabyte is a serious option for the working copy of your library. I know there are people who can claim those numbers, just not the vast, vast majority of music listeners.

    Heck, I consider myself a respectable avid collector/listener/explorer of music and it took me a full year to listen to each and every song in my library, a library that is the equivalent of ~1400 full-length records.

    Hard disk storage is cheap and getting cheaper. Practically speaking, two 500GB drives would sufficiently provide enough storage for a live copy and backup of all but the most copious of collections. Add a third for redundancy, if you’re paranoid. At $230 a piece as I write this, the cost of the drives compares favorably to all the shelving and organizational furnishings needed to manage a large physical collection, even those from IKEA.

    Which brings me back to physical space savings: how does one translate a digital library into a physical space? Let’s use numbers from my library to hazard a guess. A trusty ruler tells me that a standard CD jewel case measures 11mm thick: a “CD unit” for this purpose. FreeDB tells me that the median number of songs per CD is 12 (with an average of 13). Therefore, I can estimate that each song on a CD takes up .917mm of physical space. Applied to iTunes, the 14,554 songs in my library would use up the equivalent of 1443 “CD units” or 15,872mm or 52.1 feet of “shelf space.”

    That number is based on the assumption that a digital library consists entirely of full CDs. When considering partial albums and single tracks, the space savings is even greater. The single track of Nate Dogg and Warren G’s Regulate in my library actually saves me the full 11mm of space rather than .917, since I don’t have to own the full album just to have that one song.

    Despite my continued devotion to the digital music scheme, I must admit that I do miss some of the concrete and tactile aspects of handling a physical record or compact disc: album art, liner notes the satisfactory “click” of snapping a disc into place and-contrary to what I’ve said above-the awesome feeling of standing back and viewing a neatly organized array of records on shelf after shelf. But at this point, for me, it’s all digital and there’s no going back.

    Volkher goes on to discuss the inherent uncertainty of choosing an audio file format that may or may not be in use and supported by audio devices in times past the immediate future. And he’s got a valid point. I know from experience. Long ago, a portion of my digital music collection was in the MP2 format, which was largely made defunct by the growth of MP3 tools and players. The death knell for me was the iPod. I was dismayed when I bought my first one and discovered that it didn’t support MP2, forcing me to convert those portions of my library into something more usable.

    So futureproofing is an ever-present concern. But, like the compact disc and vinyl record, there’s no reason to believe that mass-market digital formats won’t be around for a very long time. The use of MP2 was never really widespread. MP3 and AAC however have users in the tens of millions. Many people and many companies have invested a lot of resources into those formats. They’re not going to die any time soon. In fact, the patents on the MP3 format begin to expire in 2011, just 4 years away. I’d wager that individuals, corporations and open source communities will have a field day with it in short order, continuing to breathe life and support into software and hardware for decades.

    Look at the passion with which gamers and code archivists continue to resurrect, port and support obsolete games. Just yesterday I ran across a 30+ year old command-line game called Super Star Trek that certainly would not be playable on today’s technology. But thanks to the efforts of a dedicated user, there is now a refreshed version for Mac OS X, Windows, Linux, OS/2 and DOS.

    Likewise, I expect that in three decades time, I will fully be able to enjoy my collection, no matter what size it has expanded to. I believe that the flexible nature of software will make it easier to maintain support for these formats as they age, unlike hardware-dependent media (I’m looking at you, reel-to-reel, 8-track and increasingly, cassette tapes).

    The fact that I was able to easily convert my MP2 files to MP3 is a strong argument for digital files. Just try converting a reel-to-reel tape without a reel-to-reel player.

    I admire Volkher’s decision to keep his music in the real world; I know there’s no better feeling than finding an old, rare, long-sought-after gem. But for me, the future is all digital. It has its trappings, but they are easy to overcome. The rewards outwiegh the risks.

    So, now if you’ll excuse me, I have a playlist to build.

    mp3 waveform