The week before last I had the opportunity to deliver a “flash talk” of up to 4 minutes duration at a work meetup
in Vienna, Austria. I opted to present a summary of what I’ve learned while adding support for Finger and Gopher protocols to the WordPress installation that powers DanQ.me (I also hinted at the fact that I already added Gemini and Spring ’83 support, and I’m looking at
other protocols). If you’d like to see how it went, you can watch my flash talk here or on
YouTube.
If you love the idea of working from wherever-you-are but ocassionally meeting your colleagues in person for fabulous in-person events with (now optional) flash talks like this, you
might like to look at Automattic’s recruitment pages…
The presentation is a shortened, Automattic-centric version of a talk I’ll be delivering tomorrow at Oxford Geek Nights #53; so if
you’d like to see it in-person and talk protocols with me over a beer, you should come along! There’ll probably be blog posts to follow with a more-detailed look at the how-and-why of
using WordPress as a CMS not only for the Web but for a variety of zany, clever, retro, and retro-inspired protocols down the
line, so perhaps consider the video above a “teaser”, I guess?
On Wednesday this week, three years and two months after Oxford Geek Nights #51, Oxford Geek Night
#52. Originally scheduled for 15 April 2020 and then… postponed slightly because of the pandemic, its reapparance was an epic moment that I’m glad to have been a part of.
A particular highlight of the night was witnessing “Gasman”Matt Westcott show off his
epic demoscene contribution Pharmageddon, which is presented via a “pharmacy sign”. Here’s a video, if you’re interested.
Ben Foxall also put in a sterling performance; hearing him talk – as usual – made me say “wow, I didn’t know you could do that with a
web browser”. And there was more to learn, too: Jake Howard showed us how robots see, Steve Buckley inspired us to think about how technology can make our homes more energy-smart (this is really cool and sent me
down a rabbithole of reading!), and Joe Wass showed adorable pictures of his kid exploring the user interface of his lockdown electronics
project.
Oh, and there was a quiz competition too, and guess who came out on top after an incredibly tight race.
But mostly I just loved the chance to hang out with geeks again; chat to folks, make connections, and enjoy that special Oxford Geek Nights atmosphere. Also great to meet somebody from
Perspectum, who look like they’d be great to work for and – after hearing about – I had in mind somebody to suggest for a job with them… but it
looks like the company isn’t looking for anybody with their particular skills on this side of the pond. Still, one to watch.
My prize for winning the competition was an extremely-limited-edition cap which I love so much I’ve barely taken it off since.
Huge thanks are due to Torchbox, Perspectum and everybody in attendance for making this magical night possible!
Oh, and for anybody who’s interested, I’ve proposed to be a speaker at the next Oxford Geek Nights, which sounds like it’ll be towards Spring 2023. My title is
“Yesterday’s Internet, Today!” which – spoilers! – might have something to do with the kind of technology I’ve been playing with recently, among other things. Hope to see you there!
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.
Our sampling point was by bridge 228 on the Oxford Canal: the first job was fetching water.
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.
Some collaboration was undertaken to reach a consensus on the colour of the sample.
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.
Lots of nitrates, as indicated by the colour of the left tube. Very few phosphates, as indicated by the lack of colour in the right (although it’s still a minute and a half from
completing its processing time at the point this photo was taken and would darken a tiny bit yet).
Which colour most-resembles the colour of our reagent?
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!).
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.
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.
Plus, my second-smallest caching-buddy was keen on getting involved with hiding containers rather than just finding them for me.
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.
I’ve stood at the spot from which this photo was taken, and I couldn’t recognise it. A new boulevard, houses, a police station and a leisure centre dominate the view today.
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.
Wild wolves in Oxfordshire were driven to extinction in the 16th century, but made a tiny comeback for a few days in the 1930s.
This formed the essence of our new geocaches: we planned four geocaches –
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)
Sticking to my aim of larger, higher-quality caches, the “zoo” cache is a decorated ammo can filled with toy animals.
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).
The red lumps are winters, when the central heating comes on and starts burning a stack of gas.
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):
Decade frequency by hour: you’ve got a good chance of 80s music at any time, but lunchtime’s your best bet (or perhaps just after midnight). Note that times are in UTC+2 in this
graph.
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:
Even less in it by day of week… although 70s music fans should consider tuning in on Fridays, apparently, and 80s fans will be happiest on Sundays.
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:
One in every ten songs are by just ten artists (including INXS). One in every four are by just 34 artists.
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.
Amazingly, the most-played song on Jack FM (Alice Cooper’s “Poison”) is not by one of the most-played 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.
One of the things I love about Jack FM is how little they take seriously. Like their style guide.
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.