One Hundred and Six Thousand Songs

Last night I listened to my 106,000th unique iTunes track, a middle-aged radio show entitled “The New Man at the Yard” from the CBS Radio Mystery Theater. This particular episode dramatizes a ‘ride-along’ with Scotland Yard by the author Charles Dickens — sort of a 19th-century version of Castle — and originally aired on March 12, 1982.

106,000 unique tracks makes up 783.57 GB of data, with a total duration of 390 days, 18 hours, 37 minutes, and 1 second (ignoring multiple plays). Left unplayed as yet in my iTunes collection are now 85,268 songs, which is 798 less than were left unplayed at my 105k check-in (thus 202 songs were added in the interim — including a whole lot of Chet Atkins). The unplayed tracks comprise 612.70 GB of data (↓ 10.20 GB) with a playing time of 380 days, 22 hours, 9 minutes, and 48 seconds (↓ 14+ days). As reported earlier, parity between length of time in played tracks vs. in unplayed tracks was achieved a little over 5 weeks ago.

To reach the 106,000th unique track, I listened to 1,296 songs (from track #105,000), which total 13.11 GB of data, and laid end-to-end comprise 15 days, 7 hours, 54 minutes, and 40 seconds of audio.

76 days were required to listen to the last thousand songs, meaning 13.16 new songs per day were heard (the low number due, no doubt, to my current habit of listening to old radio shows.

13.16 New Tracks Heard per Day

 
If we include the previously heard songs, we find that I heard 17.05 tracks per day.

17.05 Tracks Heard per Day

I am no longer promising further analysis, as I’m still owing the same for the 103Kth and 102Kth sets of iTunes songs.

In passing I note that in the time I read 100 books (see those other posts), I listened to 4,553 songs. For what it is worth.

This post has been updated to reflect the fact that 76 days were consumed during the 1,000 new song hearings, rather than 75. The figures depending upon that stat were also changed.

200 Books Update: What Happened

As I said yesterday, the discovery of a missing datum threw some of the conclusions of recent posts into doubt. As of now I have updated those posts with correct information. The affected posts are listed below:

All of these posts have been amended and may now be read with the confidence that you bring to anything you read on the Interwebs.

 

Warning: The following contains moderately technical details which some readers may find boring and others will find overly simplified.

The problem began almost a year-and-a-half ago, when I read the sequel to the historical mystery Roman Blood by Steven Saylor. (This compelling novel is a fictional retelling of the events behind Cicero’s first major trial, which the Roman advocate published as Pro Roscio Amerino. Saylor effectively blends facts from the trial record with speculation well founded in the known ancient history of urbs Roma, in a novel that is obviously a long-planned labor of love.) Back in 2015 I began tracking which books in my library I had actually read — not in the actual book record, but in a related table, “Notes” — by simply recording that a book was ‘read yyyy-mm-dd‘, where yyyy-mm-dd was replaced with the actual date I finished the book. Though this table has a “Read” field (which the UI displays as a checkbox), that binary field is not easily searched, so it was the text field which was later used in the query identifying finished books. This “Notes” text field was also used for sorting the books in the order completed, where the date format made such ordering simple using an alphabetic sort. During the most recent hundred books I finally created a specific field (two, in fact) for enumerating the book read order, and had to go back and update all of the previous records with that information, but I still used the “Notes” table for recording the actual date read. So my mistake was the following: after reading the short story collection Eight Strange Tales after finishing the historical mystery mentioned above, I read the next Steven Saylor novel in that series, and forgot to record its completion in the “Notes” table. From that mistake flowed all of the dire consequences which followed in its wake.

 

As I said, I later began recording the ordinal for each book read, and had to retcon that data for all the earlier books. (In fact, I record two datapoints, one for every book, and a second for those non-comics books completed, since I exclude comics and graphic novels from my books read totals.) But since I forgot to ‘note’ (hee-hee again) that I’d finished Arms Of Nemesis, the 2nd novel in Saylor’s series about Gordianus the Finder, not only were my ordinal counts off by 1, but this novel did not appear in any of my queries regarding finished books. (As an aside, I note that Arms Of Nemesis was the 150th book read since I began tracking this data, and the 117th non-comic book read. Thus the vast majority of the last hundred books read were affected by this problem.) It is only by fortune that I was able to reconstruct this data, however. I began rating my books as I read them, and I rated the second Saylor novel. This rating meant that the “Date Modified” field had the timestamp correlating to the date I finished the book, and thus I was able to reconstruct the data. However, if I had later changed any datum about that book — which I have been doing on a large scale, as I normalize genre information across the database — I would have changed the “Date Modified” field and would have been unable to determine just when I completed that novel, knowing only that I’d read it after the first in the series. So we dodged a bullet there.

 

Fortunately, I realized that this book had been read before making any other changes. Thus order has been restored to this small, petty universe. I am attempting to normalize and correct information in the database — particularly genre information, so that I can have a standard set of categories and also call out the specialty categories which apply to my own personal collection of books. These include such groupings as “Secret Societies” and “Shakespeare Wacko”. The off-the-shelf software I use for cataloguing my books is nice because I can simple enter new books by ISBN, but the information is garnered from online databases which have their own issues and idiosyncrasies. For a while, for example, UK databases were being searched first, so prices in pounds sterling (£) were often entered automatically. (I also strive to enter the price actually shown on the book, not the price I pay, which is often different given my predilection for used books.)

 

With this major correction — and my heartfelt apologies for confusing the issue with my mistake — I will not return to compiling the list of the last hundred books read so that it may be perused by you, my impatient readers waiting with baited breath. I’m trying to learn how to use the <div> tag, so…. Wish me luck!

 

One final note: The pace of reading I maintain has decreased significantly, and I may have to take steps to improve by rate of days per book. At my most recent speed, it will take me approximately 140 years to finish all the books in my collection. Besides raising issues of mortality, I need to reflect upon the size of my library and its composition. (Since my book reading rate excludes comics, and since a significant portion of my books are such, I may need to investigate this and other aspects of the problem further; as an example, my total reading rate becomes 4.58 days per book if comics are included.)

 

1 Book per 4.58 Days (including Comics)

 

Time to Finish Collection: 106.5 Years

 

Estimated Finish Date (EFD): December 7, 2124

 

So … I need to start taking better care of my health if I am to see that 22nd century Pearl Harbor Day.

 

201 Books! (This Changes Everything)

ALERT! ALERT! ALERT!

Previous post(s) about reading 200 books have errors. Please disregard. More details follow, with more to come.

Well, that just shows that data analysis is only as good (at best) as the underlying data…

Whilst scrubbing data in my books database — which is something I do, and you should do it too — I discovered that I had read a book almost a year-and-a-half ago, but had neglected to mark it as read in my database! This means that the book I had previously designated as my 200th book, Double Cross Purposes by Ronald Knox, was actually the 201st book (assuming I find no further errors in the underlying data), and that my earlier blog post about the last hundred books I’ve read was in error. Preliminarily, it now appears that my actual 200th book was The 2nd Scientific American Book Of Mathematical Puzzles and Diversions by (of course) Martin Gardner.

I apologize for the error, for which I am entirely responsible. I hope that you can forgive, though I realize that absolution must come from a higher source. After I have verified the now corrected data, I will make the analysis once more and present the amended results. I am glad that at least my mistake was discovered before I had completed the list of the books read, and promise to deliver that shortly after I’ve published the updated data. I hope that none of my readers have lost money on any wagers based on my earlier blog post. Again, I crave your forgiveness and will strive to not make such a mistake again.

Analysis: The 2nd Hundred Books [UPDATED]

NOTE: Due to recently (5 July 2018) discovered errors in underlying data, some statements in this post are incorrect. The original post is preserved, with new corrected information presented in monospace font. More information can be found in this blog post.

As I just mentioned, I recently finished reading 200 books, counting from when I commenced recording such information in my books database back in June of 2015. Herewith I present some findings of no ultimate interest, derived from an analysis of the underlying data found in that database. We will be considering the last hundred books (i.e., books #101 – #200) read, where books in the “Comics & Graphic Novel” category do not count towards that total.

The first stat is that already given in the original notification of my 200th book read, which is the fact that I took — on average — just under six-and-a-quarter days to read each volume. This compares with 4.83 days per book read for the first one hundred. (Incidentally, the total average for reading the complete 200 books becomes slightly over 5-and-1/2 days per book. Put another way, three years and ten days were required to read the total set.)

1 Book per 6.24 Days

1 Book per 6.17 Days

I am surprised to discover that my ‘comfort food’ reading (discussed in my report on the first 100 books) had subsided somewhat. Whereas the last report showed a 3-to-1 ratio of fiction (of all types) to nonfiction works, now the ratio is 4-to-3, with History books dominating the nonfiction ‘category’. (The Categorizing Imperative is its own fraught issue, one perhaps worthy of discussion another time.) Specifically, 57 books were some type of fiction, leaving 43 nonfiction works. Once again, mysteries dominated the fictional works, with the actual breakdown as given below:

Books Read by Genre

Mystery 30
Fiction 13
SF & Fantasy 14
Nonfiction 29
History 14

All category information remains unchanged from the initial report, as the previously unrecorded book belonged to the Mystery category and the quondam 200th volume (now #201) belonged to the same genre. Thus the table above and the chart below are still valid, along with any other information based upon categories, save for the time series chart below the Nonfiction breakdown (q.v.).

Or, for those who prefer charts…

Nonfiction, of course, is a term covering up any number of sins. Excepting the fourteen History tomes read, the complete breakdown of nonfiction books in this last hundred is as follows:

Nonfiction Breakdown

Children’s Books 2
Film 2
Indians of North America 1
Militaria 1
Mythology & Folklore 2
Philosophy 4
Poetry, Drama, & Criticism 6
Psychology 1
Religion & Spirituality 5
Science & Math 3
Wacko 2

Apparently I was getting real literary in my reading lately…. I’ll also note here that I read 7 books in the Comics category, not included in the count towards 200.

As I did in my last report, I present a time series chart showing when these books were read, broken down by genre.

I have not bothered to update this chart — because I do not care to. If you really care (and we both know you don’t), just imagine an uptick of one book in the mystery line on February 1, 2017, with a concomitant reduction at the tail end of that series line.

Speaking of time, the earlier six-and-a-quarter days per book is, of course, an average. Reviewing the data I found that there were some periods where much more time passed between completed books. Several books were finished more than ten days after the previous volume, and in two instances more than twenty-five days passed between successive books. The greatest time between books occurred when I was unable to maintain anything like a steady reading pace during the last Christmas season, and forty-eight days passed between the completion of Conversion by Erik Routley (finished November 15, 2017) and Fallacies and Pitfalls of Language: The Language Trap by S. Morris Engel (completed on January 2, 2018). As an aside, I’ll say that I cannot recommend the first slim volume by Routley enough (or anything by the hymnology expert).

Of course, the date I finish a book often has very little relation to the time the book was started. Indeed, there are any number of books by my bedside that have been started and restarted, with varying degrees of progress made within. I have thought of tracking the date I first commence reading a book, but have decided that that way lies madness — or, if I have already crossed that threshold, even deeper insanity.

I generally decline to comment on the relative merits of the books I read, though I’m happy to give recommendations if you want them. I don’t like everything I read, and indeed this last hundred had a few stinkers among them. I do rate the books on a 5-star scale, though I have yet to find something so execrable that it deserves a single star. Thus a perfect mean across all books would be 3.5 stars if an equal number of possible ratings were given. This last batch of a hundred books had an average rating of 3.9, which is pretty good, but has dropped from the average rating for the first hundred, which was exactly 4*. (*for books actually rated. Not all books were rated when I first started tracking my reading. And while I’m in this parenthetical note, I will point out that these ratings include the comics I read, though there was little change due to those (The last hundred, for example, has a total average rating of 3.89 for all books, and a average rating of 3.87 if the comics are excluded.).).

Average Rating for Books Read: 3.9 Stars

Average rating info also did not change, as the rating for the missing volume was identical with the volume ‘forced out’ by becoming #201.

Another change to my record-keeping has been the addition of page counts for each book entered. This was begun during the last hundred, so the records are as yet incomplete, but over 90% (including comics) of these books do have this datapoint, so I can state that the average book length (using those books with that data for the calculation, with the error that implies) was 226 pages, or 236 pages if comics are excluded. My total page consumption (including comics, again) was north of 21,990 pages. We’ll check back in after the next tranche with (one hopes) more complete data.

Average Book Length: 236 Pages

Changes based upon page count data are purely nominal, as the missing book which replaced the former #200 had only 7 more pages than the latter. Thus the average page count increased by only 8 hundredths of a page.

I will return in the near future with the complete list of books read.

200 Books [UPDATED]

NOTE: Due to recently (5 July 2018) discovered errors in underlying data, some statements in this post are incorrect. The original post is preserved, with new corrected information presented in monospace font. More information can be found in this blog post.

This morning (Actually I reached the noted milestone six days earlier, on June 21.) I finished my 200th book 1) according to my database of books and 2) my record of reading entered in said database since June 17, 2015. The book read after the milestone volume was the sometimes tiresome, sometimes precious English mystery Double Cross Purposes by Ronald A. Knox, written in 1937.


Actual 200th work read was <The 2nd Scientific American Book Of Mathematical Puzzles and Diversions by Martin Gardner. This collection of columns runs the gamut from tangrams to flexagons, from Soma Cubes to the Golden Ratio. It’s okay, though I’d start a new Gardner collection with a different volume (ask me for suggestions).

Completing this puzzler (Still a valid description, hee-haw.) means that I have finally read one hundred more books (excluding comics and graphic novels) since I completed 100 books read on October 11, 2016. This means one year and eight-and-a-half months passed between reading Whose Body? (another British mystery from the so-called ‘Golden Age’) by Dorothy Sayers and Monsignor Knox’s overwrought novel. This means that an average of 6.24 6.17 days were spent reading each volume in my latest 100 books, a significant increase from the 4.83 days needed for each in the first 100.

1 Book per 6.24 Days

1 Book per 6.17 Days

I shall return with more detailed analysis, but I do not want to leave you with the impression that the Knox mystery is somehow unworthy of your attention. Among other things, it provided several previously unknown words for my vocabulary, including “antigropelos” and the fact that “umbrageous” primarily means providing shade. I also (now) learn that Knox created a radio hoax broadcast in 1926 of a revolution sweeping London which inspired Orson Welles, so there’s that as well.

Time Parity Achieved!

I have finally regained ground in my iTunes collection and have listened to half my tracks in terms of time.

Whilst adding the large selection of old radio shows which I enjoy (for the most part) listening to now, I no longer could claim to have listened to at least half of my iTunes collection — at least when the collection was viewed by total time of the tracks. (The other views, total number of tracks and total size of the underlying data, show well over half of the collection listened to.) This morning I finally achieved parity in terms of time, with the time of listened-to tracks equalling 385 days, 17 hours, 18 minutes, and 25 seconds versus unheard tracks comprising 385 days, 17 hours, 9 minutes, and 12 seconds.

I have heard 385 days, 17 hours, 18 minutes, and 25 seconds of unique tracks out of a total of 771 days, 10 hours, etc.

The track which created this parity was the 1936 Lux Radio Theatre performance of the Noel Coward play Cavalcade, starring Herbert Marshall and Madeleine Carroll.

The other total stats at this point are 105,520 heard items (versus 85,572 items unheard) and 779.26 GB of data used for those tracks (versus 615.85 GB for those not listened to yet).

The usual caveat applies, viz., these data speak only of unique tracks heard, and no cognizance is taken of repeated plays in any totals enumerated.

One Hundred and Five Thousand Songs (105,000)

I have just listened to my 105,000th unique iTunes track, Ringo Starr’s “Six O’Clock” from his album Ringo. It’s a middling song from an otherwise surprisingly good solo album from the Fourth Beatle.

105,000 unique tracks makes up 771.99 GB of data, having a total duration of 376 days, 4 hours, 10 minutes, and 6 seconds (as usual, ignoring multiple plays). Left unplayed in my iTunes collection now are 86,066 songs (558 less than last check-in, with thus 442 tracks added in the meantime). These unplayed tracks take up 622.9 GB of data (↓ 7.28 GB) with a playing time of 395 days, 3 hours, 41 minutes, and 57 seconds (↓ 7¼ days). We are still 19 days away from parity in time played vs. time to play.

To reach the 105,000th unique track, I listened to 1,147 songs (from track #104,000), which total 11.97 GB of data, and laid end-to-end comprise 11 days, 8 hours, 30 minutes, and 54 seconds of audio.

I am no longer promising further analysis, as I’m still owing the same for the 103Kth and 102Kth sets of iTunes songs.

Appendix: This Meme Is Bogus

Exercise:

Prove the following meme is bogus

Given:

The meme consists of text superimposed upon a yellow background with a image to right. The text reads:

Declaring to be an emerging economy the U.S. refused to recognize international copyrights for the first 100 years of its existence. No other emerging economy has been granted this courtesy.

The image consists of nine (9) books, shown a spines with the author’s name, the date of publication, and the book title, all with a copyright logo [©] crossed out with a big red “X”. Several of the pictured books are by authors important in the history of copyright, notably Charles Dickens and Victor Hugo.

Concede:

Copyright was problematic in the early United States

The United States did not recognize copyright on works published in other countries until well into the 20th Century. This led to cheap books by English authors flooding the market, with all profit accruing to the publishers. Since the U.S. didn’t allow foreign claims to copyright protection, the United Kingdom reciprocated in this negative, permitting London publishers to freely bring out editions of Edgar Allan Poe and other Americans with no recompense to the authors.

Argument:

The underlying facts are hidden by confused syntax and invalidated by an objectively false alleged cause.

The statement that “the U.S. refused to recognize any international copyright” elides the fact that copyright was a nascent idea at the beginning of these United States, just emerging from the old system of printing patents and privileges which had existed in countries such as England. International copyright was even more so, as competing ideas and market forces pushed various nations to promote this or that interpretation of the evolving ideas.

Though there are thus underlying facts which deserve broader awareness from the public (thus making this information “meme-worthy”), the ungrammatical opening clause “Declaring to be an emerging economy” is false. The United States never at this time claimed to be an emerging economy.This can be seen by consulting the Google n-gram viewer for this term (and related variants):

The term “emerging economy” is a signal of sloppy argument, as this term really only occurs after 1960. The actual argument used during the early days of the Union relied upon stated appeals to “Freedom of the Press”, though this was an obvious shield for the market forces driving publishers to maintain their source of free content (shades of the Internet!).

Finally, appealing to this bogus straw man “emerging economy” one more time, the meme goes for a knockout punch with its snide assertion that “No other emerging economy has been granted this courtesy.” First, no organization or power could have granted this supposed ‘courtesy’ until at least the Berne Convention of 1886. Secondly, there was no appeal to privilege or courtesy or exception by the United States, just the usual process of nations with differing laws attempting to make the best case for the interpretation of international agreements in such a way as to bolster their own rights and privileges while downplaying any claims that could be made by others.

Conclusion:

This meme is bogus.

A good informational meme should act as the topic sentence for an essay no one will ever read; this case fails that test. By throwing garbage in with the main (and valid) point, the meme makes its assertion dismissible by those opposed, and makes its adherents more likely to make weak arguments for their case.

One Hundred and Four Thousand Songs

Or, A Full Year’s Worth of Songs!

I have just listened to my 104,000th unique iTunes track, Thelonious Monk’s “Ruby My Dear”. This particular version seems to have Glenn Gould-itis, as someone can be heard muttering into the microphone as the piano is played.

104,000 unique tracks comprises 760.81 GB of data, with a total duration of 365 days, 5 hours, 40 minutes, and 27 seconds (ignoring multiple plays) — this is ridiculously close to one solar year, which is 365 days, 5 hours, 48 minutes, and 46 seconds. My iTunes collection seems to have had 86,724 items left unplayed — 619 less tracks than the last milestone, for a net gain of 381 tracks. The unplayed tracks take up 629.62 GB of data (↓ 24.9GB) with a playing time of 402 days, 7 hours, 32 minutes, and 9 seconds (↓ 14.8 days). These numbers assume, naturally, that the suspect numbers from the last iTunes milestone are accurate, which is not necessarily a correct assumption; see last post.

The delta between played total time of tracks vs. unplayed time (my primary concern at the moment) comes in at a deficit just under 37.1 days, a clawback of over 34 days.

To reach the 104,000th unique track, I listened to 1,177 songs (from track #103,000), which total 17.7 GB of data, and laid end-to-end comprise 18 days, 21 hours, 7 minutes, and 22 seconds of audio.

I will no longer promise further analysis, as I’m still owing the same for the 103Kth and 102Kth sets of iTunes songs.

One Hundred and Three Thousand Songs (Captain’s log, supplemental)

I listened to my 103,000th unique iTunes track a little while ago — on January 9 — but have not until this moment posted the news, due to fatigue, lack of time, and a realization of unimportance. Track number 103,000 was the 1947 Green Hornet episode, “City Hall Shakeup”, which originally aired on July 15 of that year, if the information from The Interwebs is to be trusted.

I have to provide a caveat for the following data, which is suspect and must have an asterisk forever associated with it due to the fact that I did not collect the information at the time, but have tried to recreate it from the numbers currently at my disposal. Changes to the underlying dataset (such as the deletion or later addition of iTunes files) may have changed the actual numbers which would have been extracted a week ago when the minor milestone immortalized in this post was actually achieved. In fact, it is almost certain that these numbers are (slightly) inaccurate, as I’ve added a few files in the meanwhile, including the Star Blazers theme song.

Given the caveat above, 103,000 unique tracks comprises 743.87 GB of data, with a total duration of 346 days, 4 hours, 56 minutes, and 6 seconds (ignoring multiple plays). My iTunes collection seems to have had 87,343 items left unplayed — 703 less tracks than the last milestone, for a net gain of 297 tracks. The unplayed tracks take up 654.48 GB of data (↓ 9.9GB) with a playing time of 417 days, 11 hours, 59 minutes, and 49 seconds (↓ 17 days).

The delta between played total time of tracks vs. unplayed time (my primary concern at the moment; see my latest post) comes in at a deficit just over 71.3 days, an almost 30 day clawback.

To add another 1,000 tracks to my grand total, 1,323 tracks were played. The higher number is due both to changes mentioned in my last iTunes tracking analysis post, as well as work done on my cousins’ CD (also known as torture for ears).

More detailed analysis to come, and I still have to finish the 102K analysis (which is currently underway), and I still need to put the entire first 100K under the microscope.