You can, today, still go back to the can-to-can structure that a personal website, an RSS feed, and a browser provide. It’s not perfect. It leaves an enormous amount of signal unheard. It requires more work to find things, and to be found.
But you can do it. And I hope you do, in some way.
Scroll up to the Kármán line.
The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial intelligence systems.
A lovely bit of real-time data visualisation from Robin:
It’s a personal project created at home in Wales with an aim to explore and visualise renewable energy systems. Specifically, it aims to visualise live generation from renewable energy systems around Great Britain and to show where that generation is physically coming from.
Ethan highlights a classic case of the McNamara Fallacy—measuring adoption of design system components.
This describes how I iterate on The Session:
It comes down to this annoying, upsetting, stupid fact: the only way to build a great product is to use it every day, to stare at it, to hold it in your hands to feel its lumps. The data and customers will lie to you but the product never will.
This whole post reminded of the episode of the Clearleft podcast on measuring design.
The problem underlying all this is that when it comes to building a product, all data is garbage, a lie, or measuring the wrong thing. Folks will be obsessed with clicks and charts and NPS scores—the NFTs of product management—and in this sea of noise they believe they can see the product clearly. There are courses and books and talks all about measuring happiness and growth—surveys! surveys! surveys!—with everyone in the field believing that they’ve built a science when they’ve really built a cult.
I like this approach to offering a design system. It seems less prescriptive than many:
Designed not as a rule set, but rather a toolbox, the Data Design Language includes a chart library, design guidelines, colour and typographic style specifications with usability guidance for internationalization (i18n) and accessibility (a11y), all reflecting our data design principles.
Here’s a really excellent, clearly-written case study that unfortunately includes this accurate observation:
In recent years the practice of information architecture has fallen out of fashion, which is a shame as you can’t design something successfully without it. If a user can’t find a feature, it’s game over - the feature may as well not exist as far as they’re concerned.
I also like this insight:
Burger menus are effective… at hiding things.
A handy little script from Aaron to improve the form validation experience.
My talk, Building, was about the metaphors we use to talk about the work we do on the web. So I’m interested in this analysis of the metaphors used to talk about markup:
- Data is documents, processing data is clerking
- Data is trees, processing data is forestry
- Data is buildings, processing data is construction
- Data is a place, processing data is a journey
- Data is a fluid, processing data is plumbing
- Data is a textile, processing data is weaving
- Data is music, processing data is performing
The design process in action in Victorian England:
Recognizing that few people actually read statistical tables, Nightingale and her team designed graphics to attract attention and engage readers in ways that other media could not. Their diagram designs evolved over two batches of publications, giving them opportunities to react to the efforts of other parties also jockeying for influence. These competitors buried stuffy graphic analysis inside thick books. In contrast, Nightingale packaged her charts in attractive slim folios, integrating diagrams with witty prose. Her charts were accessible and punchy. Instead of building complex arguments that required heavy work from the audience, she focused her narrative lens on specific claims. It was more than data visualization—it was data storytelling.
This is a story about pizza and geometry.
The interactive widget here really demonstrates the difference between showing and telling.
The result of adding more constraints means that the products have a broader appeal due to their simple interface. It reminds me of a Jeremy Keith talk I heard last month about programming languages like CSS which have a simple interface pattern:
selector { property: value }. Simple enough anyone can learn. But simple doesn’t mean it’s simplistic, which gives me a lot to think about.
City of Women encourages Londoners to take a second glance at places we might once have taken for granted by reimagining the iconic Underground map.
I love everything about this …except that there’s no Rosalind Franklin station.
Following on from my recently-lost long bet, this is a timely bit of data spelunking from Brian analysing the linkrot of 1400 links over 18 years of time.
Goodreads lost my entire account last week. Nine years as a user, some 600 books and 250 carefully written reviews all deleted and unrecoverable. Their support has not been helpful. In 35 years of being online I’ve never encountered a company with such callous disregard for their users’ data.
Ouch! Lesson learned:
My plan now is to host my own blog-like collection of all my reading notes like Tom does.
A fascinating four-part series by Lisa Charlotte Muth on colour in data visualisations:
This is a great combination of rigorous research and great data visualisation.
Smart advice on future-proofing and backward-compatibility:
There isn’t a single, specific device, browser, and person we cater to when creating a web experience. Websites and web apps need to adapt to a near-infinite combination of these circumstances to be effective. This adaptability is a large part of what makes the web such a successful medium.
Consider doing the hard work to make it easy and never remove feature queries and @supports statements. This creates a robust approach that can gracefully adapt to the past, as well as the future.
This is something I bump against over and over again: so-called evergreen browsers that can’t actually be updated because of operating system limits.
From what I could gather, the version of Chrome was tied to ChromeOS which couldn’t be updated because of the hardware. No new ChromeOS meant no new Chrome which meant stuck at version 76.
But what about the iPad? I discovered that my Mom’s iPad was a 1st generation iPad Air. Apple stopped supporting that device in iOS 12, which means it was stuck with whatever version of Safari last shipped with iOS 12.
So I had two older browsers that couldn’t be updated. It was device obsolescence because you couldn’t install the latest browser.
Websites stop working and the only solution is to buy a whole new device.