This checkin to GC14QCA TJB Speed Cache reflects a geocaching.com log entry. See more of Dan's cache logs.
Found with the geopup on a morning walk through the woods. Always appreciate a good-sized container. Took travel bug. TFTC.
This checkin to GC14QCA TJB Speed Cache reflects a geocaching.com log entry. See more of Dan's cache logs.
Found with the geopup on a morning walk through the woods. Always appreciate a good-sized container. Took travel bug. TFTC.
In the light of the so-called “Twitter migration”, I’ve spent a lot of the last week helping people new to Mastodon/the Fediverse in general to understand it. Or at least, to understand how it’s different from Twitter.1
If you’re among those jumping ship, by the way, can I recommend that you do two things:
The experience has filled me with feelings, for which I really appreciated that Hugh Rundle found such great words to share, comparing the surge of new users to September(ish) 1993:
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The tools, protocols and culture of the fediverse were built by trans and queer feminists. Those people had already started to feel sidelined from their own project when people like me started turning up a few year ago. This isn’t the first time fediverse users have had to deal with a significant state change and feeling of loss. Nevertheless, the basic principles have mostly held up to now: the culture and technical systems were deliberately designed on principles of consent, agency, and community safety.
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If the people who built the fediverse generally sought to protect users, corporate platforms like Twitter seek to control their users… [Academics and advertisers] can claim that legally Twitter has the right to do whatever it wants with this data, and ethically users gave permission for this data to be used in any way when they ticked “I agree” to the Terms of Service.
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This attitude has moved with the new influx. Loudly proclaiming that content warnings are censorship, that functionality that has been deliberately unimplemented due to community safety concerns are “missing” or “broken”, and that volunteer-run servers maintaining control over who they allow and under what conditions are “exclusionary”. No consideration is given to why the norms and affordances of Mastodon and the broader fediverse exist, and whether the actor they are designed to protect against might be you.
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I’d highly recommend you read the whole thing because it’s excellent.
I genuinely believe that the fediverse is among our best bets for making a break from the silos of the corporate Web, and to do that it has to scale – it’s only the speed at which it’s being asked to do so that’s problematic.
Aside from what I’m already doing – trying to tutor (tootor?) new fediversians about how to integrate in an appropriate and respectful manner and doing a little to supporting the expansion of the software that makes it tick… I wonder what more I could/should be doing.
Would my effort be best-spent be running a server (one not-just-for-me, I mean: abnib.social, anyone?), or should I use that time and money to support existing instances directly? Should I brush up on my ActivityPub spec so I can be a more-useful developer, or am I better-placed to focus on tending my own digital garden first? Or maybe I’m looking at it all wrong and I should be trying to dissuade people from piling-on to a system that might well not be right for them (nor they for it!)?
I don’t know the answers to these questions, but I’m hoping to work them out soon.
It only occurred to me after the fact that I should mention that you can find me at @dan@danq.me.
1 Important: I’m no expert. I’ve been doing fediverse things for about 3 years but I’m relatively quiet on Mastodon. Also, I’ve never really understood or gotten along with Twitter, so I’m even less an expert on that. Don’t assume that I’m an authority on anything at all, and especially not social media.
This is a repost promoting content originally published elsewhere. See more things Dan's reposted.
Just wanted to share with you something I found ages ago but only just got around to mentioning – Julia Evans‘ (of Wizard Zines fame) Debugging Mysteries:
There are five mysteries here right now:
The Case of the Slow Websites
The Case of the Connection Timeout
The Case of the DNS Update that Didn’t Work
The Case of the 50ms Request
The Case of the Failed Docker ConnectionGo back to wizardzines.com
GitHub repository: jvns/twine-stories
Blog post about this project: Notes on building debugging puzzles
Each mystery is a Twine-powered “choose your own adventure” game in which you must diagnose the kind of issue that a software developer might, for real. I think these are potentially excellent tools for beginner programmers, not just because they provide some information about the topic of each, but because they encourage cultivating a mindset of the kind of thinking that’s required to get to the bottom of gnarly problems.
Better yet, she’s open-sourced the entire thing (and I was excited to see she wrote in Twee, which is very dear to my heart).
Unable to sleep, I found myself wondering whether anybody with a retro-hipster vibe had built a smart pocketwatch. All your smartwatch features, but in pocketwatch format.
Then I realised I was describing a mobile phone on a keychain.
This is a repost promoting content originally published elsewhere. See more things Dan's reposted.
We’re going to use ENF matching to answer the question “here’s a recording, when was it was (probably) taken?” I say “probably” because all that ENF matching can give us is a statistical best guess, not a guarantee. Mains hum isn’t always present on recordings, and even when it is, our target recording’s ENF can still match with the wrong section of the reference database by statistical misfortune.
Still, even though all ENF matching gives us is a guess, it’s usually a good one. The longer the recording, the more reliable the estimate; in the academic papers that I’ve read 10 minutes is typically given as a lower bound for getting a decent match.
To make our guess, we’ll need to:
- Extract the target recording’s ENF values over time
- Find a database of reference ENF values, taken directly from the electrical grid serving the area where the recording was made
- Find the section of the reference ENF series that best matches the target. This section is our best guess for when the target recording was taken
We’ll start at the top.
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About a year after Tom Scott did a video summarising how deviation over time (and location!) of the background electrical “hum” produced by AC power can act as a forensic marker on audio recordings, Robert Heaton’s produced an excellent deep-dive into how you can play with it for yourself, including some pretty neat code.
I remember first learning about this technique a few years ago during my masters in digital forensics, and my first thought was about how it might be effectively faked. Faking the time of recording of some audio after the fact (as well as removing the markers) is challenging, mostly because you’ve got to ensure you pick up on the harmonics of the frequencies, but it seems to me that faking it at time-of-recording ought to be reasonably easy: at least, so long as you’re already equipped with a mechanism to protect against recording legitimate electrical hum (isolated quiet-room, etc.):
Taking a known historical hum-pattern, it ought to be reasonably easy to produce a DC-to-AC converter (obviously you want to be running off a DC circuit to begin with, e.g. from batteries, so you don’t pick up legitimate hum) that regulates the hum frequency in a way that matches the historical pattern. Sure, you could simply produce the correct “noise”, but doing it this way helps ensure that the noise behaves appropriately under the widest range of conditions. I almost want to build such a device, perhaps out of an existing portable transformer (they come in big battery packs nowadays, providing a two-for-one!) but of course: who has the time? Plus, if you’d ever seen my soldering skills you’d know why I shouldn’t be allowed to work on anything like this.
Just when I thought I’d seen every conceivable XML data format with an approved MIME type (!) I discover @mamund‘s Maze+XML, a format for describing orthoganally-connected squares of a maze.
This is a reply to a post published elsewhere. Its content might be duplicated as a traditional comment at the original source.
This weekend I was experimentally reimplenting how my blog displays comments. For testing I needed to find an old post with both trackbacks and pingbacks on it. I found my post that you linked, here, and was delighted to be reminded that despite both of our blogs changing domain name (from photomatt.net to ma.tt and from blog.scatmania.org to danq.me, respectively), all the links back and forth still work perfectly because clearly we share an apporopriate dedication to the principle that Cool URIs Don’t Change, and set up our redirects accordingly. 🙌
Incidentally, this was about the point in time at which I first thought to myself “hey, I like what Matt’s doing with this Automattic thing; I should work there someday”. It took me like a decade to a decade-and-a-half to get around to applying, though… 😅
Anyway: thanks for keeping your URIs cool so I could enjoy this trip down memory lane (and debug an experimental wp_list_comments callback!).
This checkin to GC4PYPF Chester Services TB Hotel reflects a geocaching.com log entry. See more of Dan's cache logs.
QEF for the geopup and I while stopping for a toilet break on the way home from a holiday in Wales. SL, TNLN, TFTC, and Happy Halloween!
This checkin to GC20GBC Neptune - The Mystic reflects a geocaching.com log entry. See more of Dan's cache logs.
Super quick find on lunch break during a day coworking in Cheltenham. Love the hiding spot which seems pretty much made for a cache of this shape and size! TFTC!
This checkin to geohash 2022-10-24 51 -1 reflects a geohashing expedition. See more of Dan's hash logs.
Wharf Stream Way, Eynsham. I’ve visited this circular footpath many times to walk the dog or to take the children to swim in the river.
I hope to cycle/walk to the GZ about lunchtime? I’ve an opportunity to pass nearby the GZ between other errands this morning!
I was excited to see this spot pop up on my radar, because it’s a lovely meadow that I’ve ocassionally walked my dog in, within comfortable cycling distance of my house. As it happened, I had an even easier route here because a drive this morning to drop the kids off at a half-term activity took me “close enough” to be worth stopping and walking from there.
I parked at The Talbot Inn, just West of the Swinford Toll Bridge (a bizzare old bridge that, for weird historical reasons, continues to use human operators to charge 5 pence per car to cross, which surely cannot be cost-effective!). From here, there’s a footpath along the back of the Seimens buildings in the nearby light industrial estate which eventually comes out into the Wharf Stream Way circular walk. It was pretty damp out here today and I quickly regretted my choice of light trousers which would have been fine to drive the kids to their camp and back but wasn’t really a good choice for stomping across the long grass of a damp meadow. Some way across I disturbed some grazing deer, but ultimatey it was following a deer-trodden trail that eventually provided the best route to the GZ.
I reached the GZ at 09:19, took a selfie, and then turned around to go and get to work. I also shot a video covering the whole expedition which is presented, unedited, below.
My GPSr kept a tracklog; note that this was an “on the way” stopoff so the start and end point isn’t the same!
This checkin to GC2192B Improvisado #2 Montjuïc- Rincón de paz reflects a geocaching.com log entry. See more of Dan's cache logs.
Found during a visit to the castillo with fleeblewidget. Second place we looked. Greetings from Oxford, UK. TFTC!
This checkin to GC88Z3D SANT PAU DEL CAMP reflects a geocaching.com log entry. See more of Dan's cache logs.
Found with fleeblewidget during a meander around the city. She saw it ahead and remarked on the beautiful building before I’d even told her that was where we were heading. Greetings from Oxford, UK. Gracias por el caché.
This is a repost promoting content originally published elsewhere. See more things Dan's reposted.
A few months ago, people were posting a lot about the Netherlands on Chinese social media platform Weibo. “Wake up, sleeping people of the Netherlands!” said one post. Others lamented that the people of Amsterdam wanted their tulips back.
These Chinese social media users aren’t expressing a nascent interest in all things Dutch. They’re talking about recent protests over frozen bank deposits in the province of Henan. Ordinarily, discussions about a controversial topic like this would be censored on Chinese social media, and posts containing the word “Henan” could be blocked or deleted. But “Henan” (河南) sounds a lot like “Helan” (荷兰), the Mandarin word for the Netherlands. By swapping the names around, people were able to get past the censors and keep the conversation going.
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I love this article. The use of homonyms and puns to work around online censorship by Chinese citizens is as innovative and heartwarming as its necessity is horrifying and tragic. If you’re wondering exactly how similar 河南 (“Henan”, the name of the Chinese province in which authorities abused social distancing laws and used violence to prevent rural bank customers from withdrawing their own money) and 荷兰 (“Helan”, The Netherlands) sound, have a listen for yourself:
Unless you speak Mandarin already, you’ll might struggle to even pinpoint which is which in that recording.
This clever and imaginative use of language to try to sidestep surviellance feels like a modern adaptation of cryptolects like Polari or rhyming slang as used in the UK for the same purpose. But writing in Han characters online seems to provide an amazingly diverse way to encode meaning that an in-the-know human can parse, but an automated machine or an uninformed human censor can not. The story about the use of the word for “paratrooper” on Chinese social media, touched upon in the article linked above and expanded elsewhere, is particularly enjoyable.
Anyway, after you’ve read the article and you’re ready for a whole new rabbit whole to explore, I’d like to kickstart you by introducing you to Totoiana, a Pig Latin-like (second-syllable onwards, then first syllable) dialect spoken with fluency exclusively in a single Romanian village, and nobody knows why.
Your product, service, or organisation almost certainly has a priority of constituencies, even if it’s not written down or otherwise formally-encoded. A famous example would be that expressed in the Web Platform Design Principles. It dictates how you decide between two competing needs, all other things being equal.
At Three Rings, for example, our priority of constituencies might1 look like this:
These are all things we care about, but we’re talking about where we might choose to rank them, relative to one another.
The priorities of an organisation you’re involved with won’t be the same: perhaps it includes shareholders, regulatory compliance, different kinds of end-users, employees, profits, different measures of social good, or various measurable outputs. That’s fine: every system is different.
But what I’d challenge you to do is find ways to bisect your priorities. Invent scenarios that pit each constituency against itself another and discuss how they should be prioritised, all other things being equal.
Using the example above, I might ask “which is more important?” in each category:
The aim of the exercise isn’t to come up with a set of commandments for your company. If you come up with something you can codify, that’s great, but if you and your stakeholders just use it as an exercise in understanding the relative importance of different goals, that’s great too. Finding where people disagree is more-important than having a unifying creed2.
And of course this exercise applicable to more than just organisational priorities. Use it for projects or standards. Use it for systems where you’re the only participant, as a thought exercise. A priority of constituencies can be a beautiful thing, but you can understand it better if you’re willing to take it apart once in a while. Bisect your priorities, and see what you find.
1 Three Rings doesn’t have an explicit priority of constituencies: the example I give is based on my own interpretation, but I’m only a small part of the organisation.
2 Having a creed is awesome too, though, as I’ve said before.