Today my #distributed #remotework office is provided by @OCFI_OI, which provides me that most #Oxford of views: simultaneously containing architecture of the 1960s… and the 1160s.
This afternoon, the kids and I helped with some citizen science as part of the Thames WaterBlitz, a collaborative effort to sample water quality of the rivers, canals, and ponds of the Thames Valley to produce valuable data for the researchers of today and tomorrow.
My two little science assistants didn’t need any encouragement to get out of the house and into the sunshine and were eager to go. I didn’t even have to pull out my trump card of pointing out that there were fruiting brambles along the length of the canal. As I observed in a vlog last year, it’s usually pretty easy to motivate the tykes with a little foraging.
The EarthWatch Institute had provided all the chemicals and instructions we needed by post, as well as a mobile app with which to record our results (or paper forms, if we preferred). Right after lunch, we watched their instructional video and set out to the sampling site. We’d scouted out a handful of sites including some on the River Cherwell as it snakes through Kidlington but for this our first water-watch expedition we figured we’d err on the safe side and aim to target only a single site: we chose this one both because it’s close to home and because a previous year’s citizen scientist was here, too, improving the comparability of the results year-on-year.
Our results are now online, and we’re already looking forward to seeing the overall results pattern (as well as taking part in next year’s WaterBlitz!).
Well into the afternoon and the party is still on.
09:20 and the revellers – most of whom have been partying all night – are still at it outside the Clarendon Building on Broad Street.
Oh, go on, one more 360° photo: view from @NuffieldCollege’s (library) tower, ten stories above the #Oxford castle quarter.
Walking around @NuffieldCollege at lunchtime: love this long pond.
Lunchtime at @NuffieldCollege gave me another excuse to snap some 360° photos; this one’s part of the quad.
Save the dates folks!
On Saturday 22nd September and Sunday 23rd September we will be having the first ever Oxford IndieWebCamp!
It is a free event, but I would ask that you register on Eventbrite, so I can get an idea of numbers.
IndieWebCamp is a weekend gathering of web creators building & sharing their own websites to advance the independent web and empower ourselves and others to take control of our online identities and data.
It is open to all skill levels, from people who want to get started with a web site, through to experienced developers wanting to tackle a specific personal project.
I gave a little presentation about the Indieweb at JS Oxford earlier this year if you want to know more.
I couldn’t be more excited about this! I really hope that I’m able to attend!
It’s been a while since I last hid geocache containers and it felt like it was time I gave a back some more to the community, especially as the “village” I live in has a lower cache density than it deserves (conversely, Oxford City Centre is chock-full of uninspiring magnetic nanos – although it’s improving – and saturated with puzzle caches that ultimately require a trek well outside the ring road). I’ve never been a heavyweight score-counting ‘cacher, but I’ve always had a soft spot for nice containers as large as their hiding place will permit coupled with well thought-out pieces of local interest, and that’s the kind of cache I wanted to add to my local area.
So imagine my joy when I discover a little-known piece of history about my village: that for a few years in the 1930s, we used to have a zoo! And I’m not talking about something on the scale of that place with the meercats that we used to go to: I’m talking about a proper zoo with lions and tigers and bears (oh my!). Attractions like Rosie the elephant and Hanno the lion would get mentioned in the local newspapers at every excuse, and a special bus service connected Oxford city centre to the entrance to the zoo, just outside then (then much-smaller) Kidlington village.
Taking advantage of my readers’ card at the Bodleian Library, I was able to find newspapers and books and piece together the history of this short-lived place. Of particular interest were the unusual events of January 1937, when three wolves escaped from the zoo and caused chaos in the surrounding village and farms for several days. In a tale that sounds almost like a Marvel Comic origin story, the third wolf was eventually shot by local press photographer Johnny Johnson who chased the animal down on a borrowed bicycle.
This formed the essence of our new geocaches: we planned four geocaches –
- Oxford’s Long-Lost Zoo (GC7Q96B / OK0456), representing the zoo and hidden at a corner of what used to be the grounds
- Oxford’s Wild Wolf One (GC7Q9E6 / OK0457), representing the first escaped wolf and hidden near to a garden it jumped into
- Oxford’s Wild Wolf Two (GC7Q9FF / OK0458), representing the second escaped wolf and hidden near to where it was shot by a farmer and his son
- Oxford’s Wild Wolf Three – not yet placed, but we’re planning a multicache series that follows places that the third wolf might have travelled through during its extended escape (the third wolf managed to stay at large for long enough to allegedly kill 13 sheep)
Soon after the first three caches went live they were found by a local ‘cacher whose hides I’ve enjoyed before. She had nice things to say about the series, so that’s a good sign that we’re thinking in the right kind of direction. The bobbin – who’s taken a bit of an interest in local history this month and keeps now asking about the ages of buildings and where roads used to go and things – is continuing to help me set out places to hide the parts of the final cache in the series, Oxford’s Wild Wolf Three, so further excitement no-doubt awaits.
Named for Oxford’s twin city in Germany, Bonn, and that – and the war memorial that acts mostly as a seat among the undersupply of benches – is the only interesting this about this plaza. You can’t sit and eat here because you’ll be mobbed by pigeons. You can’t hold a quiet conversation here because of the foot traffic that ploughs through during daylight hours and the buses that growl by into Queen Street.
It’s just: an empty space that could desperately have enjoyed more love than went into giving it a couple of sad-looking trees. Nothing more, nothing less.
Those who know me well know that I’m a bit of a data nerd. Even when I don’t yet know what I’m going to do with some data yet, it feels sensible to start collecting it in a nice machine-readable format from the word go. Because you never know, right? That’s how I’m able to tell you how much gas and electricity our house used on average on any day in the last two and a half years (and how much off that was offset by our solar panels).
So it should perhaps come as no huge surprise that for the last six months I’ve been recording the identity of every piece of music played by my favourite local radio station, Jack FM (don’t worry: I didn’t do this by hand – I wrote a program to do it). At the time, I wasn’t sure whether there was any point to the exercise… in fact, I’m still not sure. But hey: I’ve got a log of the last 45,000 songs that the radio station played: I might as well do something with it. The Discogs API proved invaluable in automating the discovery of metadata relating to each song, such as the year of its release (I wasn’t going to do that by hand either!), and that gave me enough data to, for example, do this (click on any image to see a bigger version):
I almost expected a bigger variance by hour-of-day, but I guess that Jack isn’t in the habit of pandering to its demographics too heavily. I spotted the post-midnight point at which you get almost a plurality of music from 1990 or later, though: perhaps that’s when the young ‘uns who can still stay up that late are mostly listening to the radio? What about by day-of-week, then:
The chunks of “bonus 80s” shouldn’t be surprising, I suppose, given that the radio station advertises that that’s exactly what it does at those times. But still: it’s reassuring to know that when a radio station claims to play 80s music, you don’t just have to take their word for it (so long as their listeners include somebody as geeky as me).
It feels to me like every time I tune in they’re playing an INXS song. That can’t be a coincidence, right? Let’s find out:
Yup, there’s a heavy bias towards Guns ‘n’ Roses, Michael Jackson, Prince, Oasis, Bryan Adams, Madonna, INXS, Bon Jovi, Queen, and U2 (who collectively are responsible for over a tenth of all music played on Jack FM), and – to a lesser extent – towards Robert Palmer, Meatloaf, Blondie, Green Day, Texas, Whitesnake, the Pet Shop Boys, Billy Idol, Madness, Rainbow, Elton John, Bruce Springsteen, Aerosmith, Fleetwood Mac, Phil Collins, ZZ Top, AC/DC, Duran Duran, the Police, Simple Minds, Blur, David Bowie, Def Leppard, and REM: taken together, one in every four songs played on Jack FM is by one of these 34 artists.
I was interested to see that the “top 20 songs” played on Jack FM these last six months include several songs by artists who otherwise aren’t represented at all on the station. The most-played song is Alice Cooper’s Poison, but I’ve never recorded them playing any other Alice Cooper songs (boo!). The fifth-most-played song is Fight For Your Right, by the Beastie Boys, but that’s the only Beastie Boys song I’ve caught them playing. And the seventh-most-played – Roachford’s Cuddly Toy – is similarly the only Roachford song they ever put on.
Next I tried a Markov chain analysis. Markov chains are a mathematical tool that examines a sequence (in this case, a sequence of songs) and builds a map of “chains” of sequential songs, recording the frequency with which they follow one another – here’s a great explanation and playground. The same technique is used by “predictive text” features on your smartphone: it knows what word to suggest you type next based on the patterns of words you most-often type in sequence. And running some Markov chain analysis helped me find some really… interesting patterns in the playlists. For example, look at the similarities between what was played early in the afternoon of Wednesday 19 October and what was played 12 hours later, early in the morning of Thursday 20 October:
|19 October 2016||20 October 2016|
|12:06:33||Kool & The Gang – Fresh||Kool & The Gang – Fresh||00:13:56|
|12:10:35||Bruce Springsteen – Dancing In The Dark||Bruce Springsteen – Dancing In The Dark||00:17:57|
|12:14:36||Maxi Priest – Close To You||Maxi Priest – Close To You||00:21:59|
|12:22:38||Van Halen – Why Can’t This Be Love||Van Halen – Why Can’t This Be Love||00:25:00|
|12:25:39||Beats International / Lindy – Dub Be Good To Me||Beats International / Lindy – Dub Be Good To Me||00:29:01|
|12:29:40||Kasabian – Fire||Kasabian – Fire||00:33:02|
|12:33:42||Talk Talk – It’s My Life||Talk Talk – It’s My Life||00:38:04|
|12:41:44||Lenny Kravitz – Are You Gonna Go My Way||Lenny Kravitz – Are You Gonna Go My Way||00:42:05|
|12:45:45||Shalamar – I Can Make You Feel Good||Shalamar – I Can Make You Feel Good||00:45:06|
|12:49:47||4 Non Blondes – What’s Up||4 Non Blondes – What’s Up||00:50:07|
|12:55:49||Madness – Baggy Trousers||Madness – Baggy Trousers||00:54:09|
|Eagle Eye Cherry – Save Tonight||00:56:09|
|Feeling – Love It When You Call||01:04:12|
|13:02:51||Fine Young Cannibals – Good Thing||Fine Young Cannibals – Good Thing||01:10:14|
|13:06:54||Blur – There’s No Other Way||Blur – There’s No Other Way||01:14:15|
|13:09:55||Pet Shop Boys – It’s A Sin||Pet Shop Boys – It’s A Sin||01:17:16|
|13:14:56||Zutons – Valerie||Zutons – Valerie||01:22:18|
|13:22:59||Cure – The Love Cats||Cure – The Love Cats||01:26:19|
|13:27:01||Bryan Adams / Mel C – When You’re Gone||Bryan Adams / Mel C – When You’re Gone||01:30:20|
|13:30:02||Depeche Mode – Personal Jesus||Depeche Mode – Personal Jesus||01:33:21|
|13:34:03||Queen – Another One Bites The Dust||Queen – Another One Bites The Dust||01:38:22|
|13:42:06||Shania Twain – That Don’t Impress Me Much||Shania Twain – That Don’t Impress Me Much||01:42:23|
|13:45:07||ZZ Top – Gimme All Your Lovin’||ZZ Top – Gimme All Your Lovin’||01:46:25|
|13:49:09||Abba – Mamma Mia||Abba – Mamma Mia||01:50:26|
|13:53:10||Survivor – Eye Of The Tiger||Survivor – Eye Of The Tiger||01:53:27|
|Scouting For Girls – Elvis Aint Dead||01:57:28|
|Verve – Lucky Man||02:00:29|
|Fleetwood Mac – Say You Love Me||02:05:30|
|14:03:13||Kiss – Crazy Crazy Nights||Kiss – Crazy Crazy Nights||02:10:31|
|14:07:15||Lightning Seeds – Sense||Lightning Seeds – Sense||02:14:33|
|14:11:16||Pretenders – Brass In Pocket||Pretenders – Brass In Pocket||02:18:34|
|14:14:17||Elvis Presley / JXL – A Little Less Conversation||Elvis Presley / JXL – A Little Less Conversation||02:21:35|
|14:22:19||U2 – Angel Of Harlem||U2 – Angel Of Harlem||02:24:36|
|14:25:20||Trammps – Disco Inferno||Trammps – Disco Inferno||02:28:37|
|14:29:22||Cast – Guiding Star||Cast – Guiding Star||02:31:38|
|14:33:23||New Order – Blue Monday||New Order – Blue Monday||02:36:39|
|14:41:26||Def Leppard – Let’s Get Rocked||Def Leppard – Let’s Get Rocked||02:40:41|
|14:46:28||Phil Collins – Sussudio||Phil Collins – Sussudio||02:45:42|
|14:50:30||Shawn Mullins – Lullaby||Shawn Mullins – Lullaby||02:49:43|
|14:55:31||Stars On 45 – Stars On 45||Stars On 45 – Stars On 45||02:53:45|
|16:06:35||Dead Or Alive – You Spin Me Round Like A Record||Dead Or Alive – You Spin Me Round Like A Record||03:00:47|
|16:09:36||Dire Straits – Walk Of Life||Dire Straits – Walk Of Life||03:03:48|
|16:13:37||Keane – Everybody’s Changing||Keane – Everybody’s Changing||03:07:49|
|16:17:39||Billy Idol – Rebel Yell||Billy Idol – Rebel Yell||03:10:50|
|16:25:41||Stealers Wheel – Stuck In The Middle||Stealers Wheel – Stuck In The Middle||03:14:51|
|16:28:42||Green Day – American Idiot||Green Day – American Idiot||03:18:52|
|16:33:44||A-Ha – Take On Me||A-Ha – Take On Me||03:21:53|
|16:36:45||Cranberries – Dreams||Cranberries – Dreams||03:26:54|
|Elton John – Philadelphia Freedom||03:30:56|
|Inxs – Disappear||03:36:57|
|Kim Wilde – You Keep Me Hanging On||03:40:59|
|16:44:47||Living In A Box – Living In A Box|
|16:47:48||Status Quo – Rockin’ All Over The World||Status Quo – Rockin’ All Over The World||03:45:00|
The similarities between those playlists (which include a 20-songs-in-a-row streak!) surely can’t be coincidence… but they do go some way to explaining why listening to Jack FM sometimes gives me a feeling of déjà vu (along with, perhaps, the no-talk, all-jukebox format). Looking elsewhere in the data I found dozens of other similar occurances, though none that were both such long chains and in such close proximity to one another. What does it mean?
There are several possible explanations, including:
- The exotic, e.g. they’re using Markov chains to control an auto-DJ, and so just sometimes it randomly chooses to follow a long chain that it “learned” from a real DJ.
- The silly, e.g. Jack FM somehow knew that I was monitoring them in this way and are trying to troll me.
- My favourite: these two are actually the same playlist, but with breaks interspersed differently. During the daytime, the breaks in the list are more-frequent and longer, which suggests: ad breaks! Advertisers are far more-likely to pay for spots during the mid-afternoon than they are in the middle of the night (the gap in the overnight playlist could well be a short ad or a jingle), which would explain why the two are different from one another!
But the question remains: why reuse playlists in close proximity at all? Even when the station operates autonomously, as it clearly does most of the time, it’d surely be easy enough to set up an auto-DJ using “smart random” (because truly random shuffles don’t sound random to humans) to get the same or a better effect.
Which leads to another interesting observation: Jack FM’s sister stations in Surrey and Hampshire also maintain a similar playlist most of the time… which means that they’re either synchronising their ad breaks (including their duration – I suspect this is the case) or else using filler jingles to line-up content with the beginnings and ends of songs. It’s a clever operation, clearly, but it’s not beyond black-box comprehension. More research is clearly needed. (And yes, I’m sure I could just call up and ask – they call me “Newcastle Dan” on the breakfast show – but that wouldn’t be even half as fun as the data mining is…)
If you’re a tourist on one of “Jump Man” of Footprints Tours’ tours, I’m sure that the obligatory “jump for a photograph” moment at the end is a fun novelty. However, the novelty quickly wears off when you work in one of the library offices right next to their usual spot, and the call of “3… 2… 1… JUMP!” is the loudest thing you hear all day, each day, throughout the summer season.
I’m trying to index the location of red telephone boxes in Oxford, for a project I’m doing. I’m especially interested in ones outside of the city centre (it’s easy to find the ones on Broad Street, High Street, Parks Road, St. Giles, etc.). If you’re aware of any, or if you’re e.g. willing to keep your eyes open for them on the way to and from work/class/wherever for the next couple of days, I’d really appreciate it. Also happy to throw Reddit Gold at people who are particularly helpful.
Want me to send you a reminder in a few days, once you’ve been looking for them? Leave a comment, and I’ll PM you a few days later. Want to know what the project is? Find a box for me that I haven’t got on my list, and I’m happy to PM you the details.