This is a terrific and nuanced talk that packs a lot into less than twenty minutes.
(The secret sauce in transitional web apps is progressive enhancement.)
This is a terrific and nuanced talk that packs a lot into less than twenty minutes.
(The secret sauce in transitional web apps is progressive enhancement.)
The transcript from the latest episode of the HTTP 203 podcast is well worth perusing.
- Internet Explorer halted development, no innovation. Would you say Safari is the new IE?
- There was loads of stuff missing. Is Safari the new IE?
- My early career was built on knowing the bugs in IE6 and how to solve them. Is Safari the new IE?
- Internet Explorer had a fairly cavalier attitude towards web standards. Is Safari the new IE?
- Back in the day that we had almost no communication whatsoever. Is Safari the new IE?
- Slow-release cycle. Is Safari the new IE?
I’m very excited about this proposal for animating transitions between web pages!
I’m less excited about doing it for single page apps, but I get why it’s the simplest place to start.
I was moaning about Safari recently. Specifically I was moaning about the ridiculous way that browser updates are tied to operating system updates.
But I felt bad bashing Safari. It felt like a pile-on. That’s because a lot of people have been venting their frustrations with Safari recently:
I think it’s good that people share their frustrations with browsers openly, although I agree with Baldur Bjarnason that’s good to avoid Kremlinology and the motivational fallacy when blogging about Apple.
It’s also not helpful to make claims like “Safari is the new Internet Explorer!” Unless, that is, you can back up the claim.
On a recent episode of the HTTP 203 podcast, Jake and Surma set out to test the claim that Safari is the new IE. They did it by examining Safari according to a number of different measurements and comparing it to the olden days of Internet Explorer. The result is a really fascinating trip down memory lane along with a very nuanced and even-handed critique of Safari.
And the verdict? Well, you’ll just to have to listen to the podcast episode.
If you’d rather read the transcript, tough luck. That’s a real shame because, like I said, it’s an excellent and measured assessment. I’d love to add it to the links section of my site, but I can’t do that in good conscience while it’s inaccessible to the Deaf community.
When I started the Clearleft podcast, it was a no-brainer to have transcripts of every episode. Not only does it make the content more widely available, but it also makes it easier for people to copy and paste choice quotes.
Still, I get it. A small plucky little operation like Google isn’t going to have the deep pockets of a massive corporation like Clearleft. But if Jake and Surma were to open up a tip jar, I’d throw some money in to get HTTP 203 transcribed (I recommend getting Tina Pham to do it—she’s great!).
I apologise for my note of sarcasm there. But I share because I care. It really is an excellent discussion; one that everyone should be able to access.
Some folks called us out for lacking transcripts for our podcasts. Fair point! So, here we go (and all future episodes will have transcripts)https://t.co/HmfwBvAicA— Jake Archibald (@jaffathecake) August 18, 2021
An excellent thoughtful piece from Angela Saini (as always):
Popular opinion, “common sense” and the closely related priors of scientific enquiry have never been reliable guides when it comes to decoding human difference. After all, European biologists once thought it was obvious that colour-coded races were different species or breeds that had evolved separately on each continent. It was obvious to taxonomist Carl Linnaeus that monster-like and feral races of humans surely existed somewhere in the world. More recently, neuroscientists were happily insisting that women were innately less intelligent than men because they had smaller brains. A few neuroscientists still do.
History shows that many supposed “facts” about human nature were actually always cultural constructions. Race is one. Gender is another. Now, some researchers believe that sex—generally seen as determined by anatomy, including chromosomes, hormones and genitalia—may to some extent be constructed, too. Binary categories of male and female, they say, certainly don’t fully encompass all the natural variation and complexity that we see in our species.
A terrific piece by Jonathan Zittrain on bitrot and online digital preservation:
Too much has been lost already. The glue that holds humanity’s knowledge together is coming undone.
My name is Jeremy and I’ve been a paid subscriber to The Guardian for a few years now. But I’m considering cancelling my account after reading this editorial.
On the face of it, the headline of the article sound reasonable and hard to disagree with. But the substance of the article downplays anti-trans views as simply being “gender critical.” This is akin to describing segregationist views as “integration critical.”
This line is particularly egregious:
As a society, we need to resolve the question of how to protect the privacy, dignity and rights of trans women while also respecting the privacy, dignity and rights of those born female.
Setting up these positions as though one in any way invalidates the other gives oxygen to those who wish to paint someone’s identity as a threat. I’m very disappointed to see this viewpoint expressed in an editorial on The Guardian website.
Harry gave a speech at the Federal Trade Commission’s Dark Patterns workshop in April. Here’s the transcript, posted to Ev’s blog.
When I first worked on Dark Patterns in 2010, I was quite naive. I thought that they could be eradicated by shaming the companies that used them, and by encouraging designers to use a code of ethics.
The fact that we’re here today means that approach didn’t work.
It would be nice to be able to animate the transition between pages if we want to on the web without resorting to hacks or full-blown architecture choices to achieve it.
Amen, Chris, amen!
The danger here is that you might pick a single-page app just for this ability, which is what I mean by having to buy into a site architecture just to achieve this.
Ainissa Ramirez recounts the story of the transatlantic telegraph cable, the Apollo project of its day.
This is a really nice introduction to CSS transitions with interactive demos you can tinker with.
I’d like to take you back in time, just over 100 years ago, at the beginning of World War One. It’s 1914. The United States would take another few years to join, but the European powers were already at war in the trenches, as you can see here.
What I want to draw your attention to is what they’re wearing, specifically what they’re wearing on their heads. This is the standard issue for soldiers at the beginning of World War One, a very fetching cloth cap. It looks great. Not very effective at stopping shrapnel from ripping through flesh and bone.
It wasn’t long before these cloth caps were replaced with metal helmets; much sturdier, much more efficient at protection. This is the image we really associate with World War One; soldiers wearing metal helmets fighting in the trenches.
Now, an interesting thing happened after the introduction of these metal helmets. If you were to look at the records from the field hospitals, you would see that there was an increase in the number of patients being admitted with severe head injuries after the introduction of these metal helmets. That seems odd and the only conclusion that we could draw seems to be that cloth helmets are actually better than the metal helmets at stopping these kind of injuries. But that wouldn’t be correct.
You can see the same kind of data today. Any state where they introduce motorcycle helmet laws saying it’s mandatory to wear motorcycle helmets, you will see an increase in the number of emergency room admissions for severe head injuries for motorcyclists.
Now, in both cases, what’s missing is the complete data set because, yes, while in World War One there was an increase in the field hospital admissions for head injuries, there was a decrease in deaths. Just as today, if there’s an increase in emergency room admissions for severe head injuries because of motorcycle helmets, you will see a decrease in the number of people going to the morgue.
I kind of like these stories of analytics where there’s a little twist in the tale where the obvious solution turns out not to be the correct answer and our expectations are somewhat subverted. My favorite example of analytics on the web comes from a little company called YouTube. This is from a few years back.
Chris set about working on making a smaller version of a video page. He called this Project Feather. He worked and worked at it, and he managed to get a page down to just 98 kilobytes, so from 1.2 megabytes to 98 kilobytes. That’s an order of magnitude difference.
Then he set up shipping this to different segments of the audience and watching the analytics to see what rolled in. He was hoping to see a huge increase in the number of people engaging with the content. But here’s what he blogged.
The average aggregate page latency under Feather had actually increased. I had decreased the total page weight and number of requests to a tenth of what they were previously and somehow the numbers were showing that it was taking longer for videos to load on Feather, and this could not be possible. Digging through the numbers more (and after browser testing repeatedly), nothing made sense.
I was just about to give up on the project with my world view completely shattered when my colleague discovered the answer: geography. When we plotted the data geographically and compared it to our total numbers (broken out by region), there was a disproportionate increase in traffic from places like Southeast Asia, South America, Africa, and even remote regions of Siberia.
A further investigation revealed that, in those places, the average page load time under Feather was over two minutes. That means that a regular video page (at over a megabyte) was taking over 20 minutes to load.
Again, what was happening here was that there was a whole new set of data. There were people who literally couldn’t even load the page because it would take 20 minutes who couldn’t access YouTube who now, because of this Project Feather, for the first time were able to access YouTube. What that looked like, according to the analytics, was that page load time had overall gone up. What was missing was the full data set.
I really like these stories that kind of play with our expectations. When the reveal comes, it’s almost like hearing the punchline to a joke, right? Your expectations are set up and then subverted.
Jeff Greenspan is a comedian who talks about this. He talks about expectations in terms of music and comedy. He points out that they both deal with expectations over time.
In music, the pleasure comes from your expectations being met. A song sets up a rhythm. When that rhythm is met, that’s pleasurable. A song is using a particular scale and when those notes on that scale are hit, it’s pleasurable. Music that’s not fun to listen to tends to be arhythmic and atonal where you can’t really get a handle on what’s going to come next.
Comedy works the other way where it sets up expectations and then pulls the rug out from under you — the surprise.
Now, you can use music and you can use comedy in your designs. If you were setting up a lovely grid and a vertical rhythm, that’s like music. It’s a lovely, predictable feeling to that. But you can also introduce a bit of comedy; something that peeks out from the grid. You upset (just occasionally) something with a bit of subverted expectations.
You don’t want something that’s all music. Maybe that’s a little boring. You don’t want something that’s all comedy because then it’s just crazy and hard to get a handle on.
You can see music and comedy in how you consume news. You notice that when you read your news sources, all it does is confirm what you already believe. You read something about someone, and you think, “Yes, they’ve done something bad and I always thought they were bad, so that has confirmed my expectations.” It’s like music.
I read something that somebody has done and I always thought they were a good person. This now confirms that they are a good person. That is music to my ears. If your news feels like that, feels like music, then you may be in a bubble.
The comedy approach to music would be more like the clickbait you see at the bottom of the Internet where it’s like, “Click here. You won’t believe what these child stars look like now.” The promise there is that we will subvert your expectations, and that’s where the pleasure will come.
My favorite story from history about analytics is not from World War One but from the sequel, World War Two, where again the United States were a few years late to this world war. But when they did arrive and started their bombing raids on Germany, they were coming from England. The bombers would come back all shot up, and so there was a whole thinktank dedicated to figuring out how we can reinforce these planes in certain areas.
You can’t reinforce the whole plane. That would make it too heavy, but you could apply some judicious use of metal reinforcement to protect the plane.
They treated this as a data problem, as an analytics problem. They looked at the planes coming back. They plotted where the bullet holes were, and that led them to conclude where they should put the reinforcements. You can see here that the wings were getting all shot up, the middle of the fuselage, so clearly that’s where the reinforcements should go.
There was a statistician, a mathematician named Abraham Wald. He looked at the exact same data and he said, “No, we need to reinforce the front of the plane where there are no bullet holes. We need to reinforce the back of the fuselage where there are no bullet holes.”
What he realized was that all the data they were seeing was actually a subset of the complete data set. They were only seeing the planes that made it back. What was missing were all the planes that got shot down. If all the planes that made it back didn’t have any bullet holes in the front of the plane, then you could probably conclude that if you get a bullet hole in the front of the plane, you’re not going to make it back. This became the canonical example of what we now call survivorship bias, which is this tendency to look at the subset of data — the winners.
You see survivorship bias all the time. You walk into a bookstore and you look at the business section and its books by successful business people; that’s survivorship bias. Really, the whole section should be ten times as big and feature ten times as many books written by people who had unsuccessful businesses because that would be a much more representative sample.
We see survivorship bias. You go onto Instagram and you look at people’s Instagram photos. Generally, they’re posting their best life, right? It’s the perfect selfie. It’s the perfect shot. It’s not a representative sample of what somebody’s life looks like. That’s survivorship bias.
We have a tendency to do it on the web, too, when people publish their design systems. Don’t get me wrong. I love the fact that companies are making their design systems public. It’s something I’ve really lobbied for. I’ve encouraged people to do this. Please, if you have a design system, make it public so we can all learn from it.
I really appreciate that people do that, but they do tend to wait until it’s perfect. They tend to wait until they’ve got the success.
What we’re missing are all the stories of what didn’t work. We’re missing the bigger picture of the things they tried that just failed completely. I feel like we could learn so much from that. I feel like we can learn as much from anti-patterns as we can from patterns, if not more so.
Robin Rendle talked about this in a blog post recently about design systems. He said:
The ugly truth is that design systems work is not easy. What works for one company does not work for another. In most cases, copying the big tech company of the week will not make a design system better at all. Instead, we have to acknowledge how difficult our work is collectively. Then we have to do something that seems impossible today—we must publicly admit to our mistakes. To learn from our community, we must be honest with one another and talk bluntly about how we’ve screwed things up.
I completely agree. I think that would be wonderful if we shared more openly. I do try to encourage people to share their stories, successes, and failures.
I organized a conference a few years back all about design systems called Patterns Day and invited the best and brightest: Alla Kholmatova, Jina Anne, Paul Lloyd, Alice Bartlett – all these wonderful people. It was wonderful to hear people come up and sort of reassure you, “Hey, none of us have got this figured out. We’re all trying to figure out what we’re doing here.” The audience really needed to hear that. They really needed to hear that reassurance that this is hard.
I did Patterns Day again last year. My favorite talk at Patterns Day last year, I think, was probably from Danielle Huntrods. I’m biased here because I used to work with Danielle. She used to work at Clearleft, and she’s an absolutely brilliant front-end developer.
She had this lens that she used when she was talking about design systems and other things. She talked about gaps and overlaps, which is one of those things that’s lodged in my brain. I kind of see it everywhere.
She said that when you’re categorizing things, you’re putting things into categories, that means some things will fall between those categories. That leaves you with the gaps, the things that aren’t being covered. It’s almost like Donald Rumsfeld, the unknown unknowns and all that.
What can also happen when you put things into categories is you get these overlaps where there’s duplication; two things are responsible for the same task. This duplication of effort, of course, is what we’re trying to avoid with design systems. We’re trying to be efficient. We don’t want multiple versions of the same thing. We want to be able to reuse one component. There’s a danger there.
She’s saying what we do with the design system is we concentrate on cataloging these components. We do our interface inventory, but we miss the connective part. We miss the gaps between the components. Really, what makes something a system is not so much a collection of components but how those components fit together, those gaps between them.
Danielle went further. She didn’t just talk about gaps and overlaps in terms of design systems and components. She talked about it in terms of roles and responsibilities. If you have two people who believe they’re responsible for the same thing, that’s going to lead to a clash.
Worse, you’re working on a project and you find out that there was nobody responsible for doing something. It’s a gap. Everyone assumes that the other person was responsible for getting that thing done.
“Oh, you’re not doing that?” “I thought you were doing that.” “Oh, I thought you were doing that.”
This is the source of so much frustration in projects, either these gaps or these overlaps in roles and responsibilities. Whenever we start a project at Clearleft, we spend quite a bit of time getting this role mapping correct, trying to make sure there aren’t any gaps and there aren’t any overlaps. Really, it’s about surfacing those assumptions.
“Oh, I assumed I was responsible for that.” “No, no. I assumed I was the one who would be doing that.”
We clarify this stuff as early as possible in the design process. We even have a game we play called Fluffy Edges. It’s literally like a card game. We’d ask these questions, “Who is responsible for this? Who is going to do this?” It’s kind of good fun, but really it is about surfacing those assumptions and getting clarity on the roles at the beginning of the design process.
Now, the design process, I’m talking about the design process like it’s this known thing and it really isn’t. It’s a notoriously difficult thing to talk about the design process.
Here’s one way of thinking about the design process. This is The Design Squiggle by Damien Newman. He used to be at IDEO. I actually think this is a pretty accurate representation of what the design process feels like for an individual designer. You go into the beginning and it’s chaos, it’s a mess, and it’s entropy. Then, over time, you begin to get a handle on things until you get to this almost inevitable result at the end.
I’m not sure it’s an accurate representation of what the collaborative design process feels like. There’s a different diagram that resonates a lot with us at Clearleft, which is the Double Diamond diagram from Chris Vanstone at the Design Council. The way of thinking about the Double Diamond is almost like it’s two design squiggles back-to-back.
It’s a bit of an oversimplification, but the idea is that the design process is split into these triangles. First, it’s the discovery. Then we define. So we’re going out wide with discovery. Then we narrow it down with the definition. Then it’s time to build a thing and we open up wide again to figure out how we’re going to execute this thing. Once we got that figured out, we narrow down into the delivery phase.
The way of thinking about this is the first diamond (discovery and definition), that’s about building the right thing. Make sure you’re building the right thing first. The second diamond (about execution and delivery), that’s about building the thing right. Building the right thing and building the thing right.
The important thing is they follow this pattern of going wide and going narrow. This divergent phase with discovery and then convergent for definition. There’s a divergent phase for execution and then convergent for delivery.
If you take nothing else in the Double Diamond approach, it’s this way of making explicit when you’re in a divergent or convergent phase. Again, it’s kind of about servicing that assumption. “Oh, I assumed we were converging.” “No, no, no. We are diverging here.” That’s super, super useful.
I’ll give you an example. If you are in a meeting, at the beginning of the meeting, state whether it’s a divergent meeting or a convergent meeting. If you were in a meeting where the idea is to generate as many ideas as possible during a meeting, make that clear at the beginning because what you don’t want is somebody in the meeting who thinks the point is to converge on a solution.
You’ve got these people generating ideas and then there’s one person going, “No, that will never work. Here’s why. Oh, that’s technically impossible. Here’s why.” No, if you make it clear at the start, “There are no bad ideas. We’re in a divergent meeting,” everyone is on the same page.
Conversely, if it’s a convergent meeting, you need to make that clear and say, “The point of this meeting is that we come to a decision, one decision,” and you need to make that clear because what you don’t want in a convergent meeting is it’s ten minutes to launch time, converging on something, and then somebody in the meeting goes, “Hey, I just had an idea. How about if we…?” You don’t want that. You don’t want that.
If you take nothing else from this, this idea of making divergence and convergence explicit is really, really, really useful. Again, like I say, this pattern of just assumptions being surfaced is so useful.
This initial diamond of the Double Diamond phase, it’s where we spend a lot of our time at Clearleft. I think, early in the years of Clearleft, we spent more time on the second diamond. We were more about execution and delivery. Now, I feel like we deliver a lot more value in the discovery and definition phase of the design process.
There’s so much we do in this initial discovery phase. I mentioned already we have this fluffy edges game we play for role mapping to figure out the roles and responsibilities. We have things like a project canvas we use to collaborate with the clients to figure out the shape of what’s to come.
We sometimes run an exercise called a pre-mortem. I don’t know if you’ve ever done that. It’s like a post-mortem except you do it at the beginning of the project. It’s kind of a scenario planning.
You say, “Okay, it’s so many months after the launch and it’s been a complete disaster. What went wrong?” You map that out. You talk about it. Then once you’ve got that mapped out, you can then take steps to avoid that disaster happening.
Of course, what we do in the discovery phase, almost more than anything else, is research. You can’t go any further without doing the research.
All of these things, all of these exercises, these ways of working are about dealing with assumptions, either surfacing assumptions that we didn’t know were there or turning assumptions into hypotheses that can be tested. If you think about what an assumption is, it kind of goes back to expectations that I was talking about.
Assumptions are expectations plus internal biases. That gives you an assumption. The things that you don’t even realize you believe; they lead to assumptions. This can obviously be very bad. This is like you’ve got blind spots in your assumptions because of your own biases that you didn’t even realize you had.
They’re not necessarily bad things. Assumptions aren’t necessarily bad. If you think about your expectations plus your biases, that’s another way of thinking about your values. What do you hold to be really dear to you? The things that are self-evident to you, those are your values, your internal expectations and biases.
Now, at Clearleft, we have our company values, our core values, the things we believe. I am not going to share the Clearleft values with you. There are two reasons for that.
One is that they’re Clearleft’s values. They are useful for us. That’s for us to know internally.
Secondly, there’s nothing more boring than a company sharing their values with you. I say nothing more boring. Maybe the only thing more boring than a company sharing their values is when a so-called friend tells you about a dream they had and you have to sit there and smile and nod politely while they tell you about something that is only of interest to them.
These values are essentially what give you purpose, whether it’s at an individual level, your personal moral values give you your purpose, or at a company or organization level, you get your purpose – or any endeavor. You think about the founding of a nation-state like the United States of America. You got the Declaration of Independence. That encodes the values. That has the purpose. It’s literally saying, “We hold these truths to be self-evident.” These are assumptions here. That’s your purpose is something like the Declaration of Independence.
Then you get the principles, how you’re going to act. The Constitution would be an example of a collection of principles. These principles must be influenced by the purpose. Your values must influence the principles you’re going to use to act in the world.
Then those principles have an effect on the final patterns, the outputs that you’ll see. In the case of a nation-state like America, I would say the patterns are the laws that you end up with. Those laws come from the principles encoded in the Constitution. The Constitution, those principles in the Constitution are influenced and encoded from the purpose in the Declaration of Independence.
The purpose influences the principles. The principles influence the pattern. This would be true in the case of software as well. You think about the patterns are the final interface elements, the user interface. Those are the patterns. Those have been influenced by the principles of that company, how they choose to act, and those principles are influenced by the purpose of that company and what they believe.
This is why I find principles, in particular, to be fascinating because they sit in the middle. They are influenced by the purpose and they, in turn, influence the patterns. I’m talking about design principles, something I’m really into. I’m so into design principles, I actually have a website dedicated to design principles at principles.adactio.com.
Now, all I do on this website is collect design principles. I don’t pass judgment. I don’t say whether I think they’re good design principles or bad design principles. I just document them. That’s turned out to be a good thing to do over time because sometimes design principles disappear, go away, or get changed. I’ve got a record of design principles from the past.
For example, Google used to have a set of principles called Ten Things We Know to Be True — we know to be true, right? We hold these truths to be self-evident. That’s no longer available on the Google website, those ten things, those ten principles. One of them was, “You can make money without doing evil.” Like I said, that’s gone now. That’s not available on the Google website.
There was another set of design principles from Google that’s also not available anymore. That was called Ten Principles That Contribute to a Googley User Experience. I think we understand why those are no longer available. The sheer embarrassment of saying the word Googley out loud, I think.
I’ll tell you something I notice when I see design principles. Like I say, I catalog them without judgment, but I do have ideas. I think about what makes for good or bad design principles or sets of design principles.
Whenever I see somebody with a list that’s exactly ten principles, I’m suspicious. Like, “Really? That’s such a convenient round number. You didn’t have nine principles that contribute to a Googley user experience? You didn’t have 11 things that we know to be true? It happened to be exactly ten?” It feels almost like a bad code smell to me that it’s exactly ten principles.
Even some great design principles like Dieter Rams, the brilliant designer. He has a fantastic set of design principles called Ten Principles for Good Design. But even there I have to think, “Hmm. That’s a bit convenient, isn’t it, that it’s exactly ten principles for good design? Isn’t it, Dieter?”
Now, just in case you think I’m being blasphemous by sugging that Dieter Rams’ Ten Principles for Good Design is not a good set of design principles, I am not being blasphemous. I would be blasphemous if I pointed out that in the Old Testament, God supposedly delivers 10 commandments, not 9, not 11, exactly 10 commandments. Really, Moses, ten?
Anyway, what I’m talking about here is, like I say, almost like these code smells for design principles. Can we evaluate design principles? Are there heuristics for saying whether a design principle is a good design principle or a bad design principle?
To get meta about this, what I’m talking about is, are there design principles for design principles? I kind of think there are. I think you can evaluate design principles and say that’s a good one or that’s a bad one. You can evaluate them by how useful they are.
Let’s take an example. Let’s say you’ve got a design principle like this:
Make it usable.
That’s a design principle. I think this is a bad design principle. It’s not because I don’t agree with it. It’s actually a bad design principle because I agree with it and everyone agrees with it. It’s so agreeable that it’s hard to argue with and that’s not what a design principle is for.
Design principles aren’t these things to go, “Rah-rah! Yes! I feel good about this.” They are there to kind of surface stuff and have discussions, have disagreements – get it out in the open. Let’s say we took this design principle, “make it usable”, and it was rephrased to something more contentious. Let’s say somebody had the design principle like:
Usability is more important than profitability.
Ooh! Now we’re talking.
See, I think this is a good design principle. I’m not saying I agree with it. I’m saying it’s a good design principle because what it has now is priority.
We’re saying something is valued more than something else and that’s what you want from design principles is to figure out what the priorities of this organization are. What do they value? How are they going to behave?
I think this is a great phrasing for design principles. If you can phrase a design principle like this:
___, even over ___
Then that’s really going to make it clear what your values are. You can phrase a design principle as:
Usability, even over profitability.
Now you can have that discussion early on about whether everyone is on board with that. If there’s disagreement, you need to hammer that out and figure it out early on in the process.
Here’s another thing about this phrasing that I really like, “blank, even over blank.” It passes another test of a good design principle, which is reversibility. Rather than being a universal thing, a design principle should be reversible for a different organization.
One organization might have a design principle that says “usability, even over profitability,” and another organization, you can equally imagine having a design principle that says, “profitability, even over usability.” The fact that this principle is reversible like that is a good thing. That shows that it’s an effective design principle because it’s about priorities.
In case of conflict, consider users over authors over implementors over theoretical purity.
That’s so good.
First of all, it just starts with, “In case of conflict.” Yes! That is exactly what design principles are for. Again, they’re not there to be like, “Rah-rah! Feel-good design principles.” No, they are there to sort out conflict.
Then, “consider users over authors.” That’s like:
Users, even over authors. Authors, even over implementors. Implementors even over theoretical purity.
Really good stuff.
There are, I think, design principles for design principles, these kind of smell tests that you can run your design principles past and see if they pass or fail.
I talked about how design principles are unique to the organization. The reversibility test kind of helps with that. You can imagine a different organization that has the complete opposite design principles to you.
I do wonder: are there some design principles that are truly universal? Well, there’s kind of a whole category of principles that we treat as universal truths. That’s kind of these laws. They tend to be the eponymous laws. They’re usually named after a person and there’s some kind of universal truth. There are a lot of them out there.
Hofstadter’s law, that’s from Douglas Hofstadter. Hofstadter’s law states:
It always takes longer than you expect, even when you take into account Hofstadter’s law.
That does sound like a universal truth and certainly, my experience matches that. Yeah, I would say Hofstadter’s law feels like a universal design principle.
90% of everything is crap.
Theodore Sturgeon was a science fiction writer and people would poo-poo science fiction and point out that it was crap. He would say, “Yeah, but 90% of science fiction is crap because 90% of everything is crap.” That became Sturgeon’s law.
Yeah, you look at movies, books, and music. It’s hard to argue with Sturgeon’s law. Yeah, 90% of everything is crap. That feels like a universal law.
Here’s one we’ve probably all heard of. Murphy’s law:
Anything that can go wrong will go wrong.
It tends to get treated as this funny thing but, actually, it’s a genuinely useful design principle and one we could use on the web a lot more.
There’s Cole and Cole’s law. You’ve probably heard of that. That’s:
Shredded raw cabbage with a vinaigrette or mayonnaise dressing.
Moving swiftly on, there’s another sort of category of these laws, these universal principles that have a different phrasing, and it’s this idea of a razor. Here it’s being explicit about in case of conflict. Here it’s being explicit saying when you try to choose between two choices, which to choose.
Hanlon’s razor is a famous example that states:
Never attribute to malice that which can be adequately explained by incompetence.
If you’re trying to find a reason for something, don’t go straight to assuming malice. Incompetence tends to be a greater force in the world than malice.
I think it’s generally true, although, there’s also a law by Arthur C. Clarke, Clarke’s third law, which states that, “Any sufficiently advanced technology is indistinguishable from magic.” If you take Clarke’s third law and you mash it up with Hanlon’s razor, then the result is that any sufficiently advanced incompetence is indistinguishable from malice.
Another razor that we hear about a lot is Occam’s razor. This is very old. It goes back to William of Occam. Sometimes it’s misrepresented as being the most obvious solution is the correct solution. We know that that’s not true because we saw in the stories of metal helmets in World War One and motorcycle helmets or the bombers in World War Two or the YouTube videos that it’s not about the most obvious solution.
What Occam’s razor actually states is:
Entities should not be multiplied without necessity.
In other words, if you’re coming up with an explanation for something and your explanation requires that you now have to explain even more things—you’re multiplying the things that need to be explained—it’s probably not the true thing.
If your explanation for something is “aliens did it,” well, now you’ve got to explain the existence of aliens and explain how they got here and all this. You’re multiplying the entities. Most conspiracy theories fail the test of Occam’s razor because they unnecessarily multiply entities.
These design principles that we can borrow, we’ve got these universal ones we can borrow. I also think maybe we can borrow from specific projects and see things that would apply to us. Certainly, when we’re working on the World Wide Web and we’re building things on the World Wide Web, we could look at the design principles that informed the World Wide Web when it was being built by Tim Berners-Lee, who created the World Wide Web, and Robert Cailliau, who worked with him.
The World Wide Web started at CERN and started life in 1989 as just a proposal. Tim Berners-Lee wrote this really quite boring memo called “Information Management: A Proposal” with indecipherable diagrams on it. This is March 12, 1989. His supervisor Mike Sendall, he later saw this proposal and must have seen the possibility here because he scrawled across the top:
Vague but exciting.
Tim Berners-Lee did get the go-ahead to work on this project, this World Wide Web project, and he created the first web browser. He created the first web server. He created HTML.
You can see the world’s first web server in the Science Museum in London. It’s this NeXTcube. NeXT was the company that Steve Jobs formed after leaving Apple.
I have a real soft spot for this machine because I was very lucky to be invited to CERN last year to take part in this project where we were trying to recreate the experience of using that first web browser that Tim Berners-Lee created on that NeXT machine. You can go to this website worldwideweb.cern.ch and you can see what it feels like to use this web browser. You can use a modern browser with this emulation inside of it. It’s really good fun.
My colleagues were spending their time actually doing the hard work. I spent most of my time working on the website about the project. I built this timeline because I was fascinated about what was influencing Tim Berners-Lee.
It’s kind of easy to look at the 30 years of the web, but I thought it would be more interesting to also look back at the 30 years before the web and see what influenced Tim Berners-Lee when it came to networks, hypertext, and format. Were there design principles that he adhered to?
We don’t have to look far because Tim Berners-Lee himself has published design principles (that he formulated or borrowed from elsewhere) in a document called Axioms of web Architecture. I think he first published this in 1998. These are really useful things that we can take and we can apply when we’re building on the web.
Particularly, now I’m talking about the second diamond of the Double Diamond. When we are choosing how we’re going to execute something or how we’re going to deliver it, building the thing right, that’s when these design principles come in handy.
He was borrowing; Tim Berners-Lee was borrowing from things that had come before, existing creations that the web is built on top of like the Internet and computing. He said:
Principles such as simplicity and modularity are the stuff of software engineering.
So he borrowed those principles about simplicity and modularity.
He also said:
Decentralization and tolerance are the life and breath of the Internet.
Those principles, tolerance and decentralization, they’d proven themselves to work on the Internet. The web is built on top of the Internet. So, it makes sense to carry those principles forward on the World Wide Web.
That principle of tolerance, in particular, is something I think you really see on the web. It comes from the principles underlying the Internet. In particular, this person, Jon Postel, who is responsible for maintaining the Domain Name System, DNS, he has an eponymous law named after him. It’s also called the Robustness Principle or Postel’s law. This law states:
Be conservative in what you send. Be liberal in what you accept.”
Now, he was talking about packet switching on the Internet that if you’re going to send a packet over the Internet, try to make it as well-formed as possible. But on the other hand, when you receive a packet and if it’s got errors or something, try and deal with it. Be liberal in what you can accept.
I see this at work all the time on the web, not just in terms of technical things but in terms of UX and usability. The example I always use is if you’re going to make a form on the web, be conservative in what you send. Send as few form fields as possible down the wire to the end-user. But then when the user is filling out that form, be liberal in what you accept. Don’t make them formulate their telephone number or credit card in a certain format. Be liberal in what you accept.
Be conservative in what you send when it comes from front-end development. This matters. Literally, just in terms of what we’re sending down the wire to the end-user, we should be more conservative in what we send. We don’t think about this enough, just the weight, the sheer weight of things we’re sending.
I was doing some consulting with a client and we did a kind of top four of where the weight was coming from. I think this applies to websites in general.
Coming in at number four, we had web fonts. They can get quite weighty, but we have ways of dealing with this now. We’ve got font display in CSS. We can subset our web fonts. Variable fonts can be a way of reducing the size of fonts. So, there are solutions to this. There are ways of handling it.
At number three, images. Images do account for a lot of the sheer weight of the web. But again, we have solutions here. We’ve got responsive images with source set and picture. Using the right format, right? Not using a PNG if you should be using a JPEG, using WebP, using SVGs where possible. We can deal with this. There are solutions out there, as long as we’re aware of it.
We’re seeing that now.
When it comes to choosing a language, there’s a fantastic design principle that Tim Berners-Lee used when he was designing the World Wide Web. It’s the principle of least power. The principle of least power states:
Choose the least powerful language suitable for a given purpose.
That sounds very counterintuitive. Why would you want to choose the least powerful language? Well, in a way, it’s about keeping things simple. There’s another design principle, “Keep it simple, stupid.” KISS.
It’s kind of related to Occam’s razor, not multiplying entities unnecessarily. Choose the simplest language. The simplest language is likely to be more universal and, because it’s simpler, it might not be as powerful but it’ll generally be more robust.
I’ll give you an example. I’ll quote from Derek Featherstone. He said:
He’s absolutely right. This is about robustness here. It’s less fragile.
The classic example with ARIA: the best ARIA attribute is no ARIA attribute. Rather than having
By way of explanation, they say:
Government should only do what only government can do.
Government shouldn’t try to be all things to all people. Government should do the things where private enterprise can’t do these things. The government has to do these things. The government should only do what only government can do.
I thought that this could be extrapolated out and made into a more universal design principle. You could say:
Any particular technology should only do what only that particular technology can do
If that’s too abstract, let’s formulate it into this design principle:
We can call this Keith’s Law or Keith’s Razor or something. I think it’s a good principle.
required attributes or
input type="email". Apply the principle of least power.
Let’s see whether we’re applying the principle of least power on the web. Take an example. Let’s say you’ve got a component that’s a button component. How are you going to go about building this? You could have bare minimal HTML, just a
div or a
Or, alternatively, you could use a
button and you style it however you want using CSS.
Now, in this example, this particular component, I would say it’s a no-brainer. You go with the native
button element. Don’t make your own button component with a
Okay. That seems pretty straightforward and that is a perfect example of the principle of least power. Choose the least powerful language suitable for the purpose.
But then what if you’ve got a drop-down component, selecting an option from a list of options? Well, you could build this using bare minimum HTML. Again,
divs, maybe. You style it however you want it to look and you give it that opening and closing functionality. You give it accessibility using ARIA. Now you’ve got to think about making sure it works with a keyboard — all that stuff, all the edge cases.
Or you just use a
select element — job done. You style it with CSS …Ah, well, yes, you can style it to a certain degree with CSS, but if you ever try to style the open state of a
select element, you’re going to have a hard time.
Now, this is where it gets interesting. What do you care about more? Can you live with that open state not being styled exactly the way you might want it to be styled? If so, yes, choose the least powerful technology. Go with
select. But I can kind of start to see why somebody would maybe roll their own in that case.
input type="date" …and then have fun trying to style that in CSS. You won’t be able to do much, to be honest.
Do you still pick the least powerful technology here?
This would be kind of the under-engineered approach: to just use the native HTML approach:
It feels like there’s this pendulum swing between the over-engineered versus the under-engineered. Like I say, what it comes down is, what do you prioritize?
What you get with the native approach is you get access. You get that universality by using the least powerful language. There’s more universal support.
What you get by rolling your own is you get much more control. You’re going from the spectrum of least power to most power and that’s also a spectrum going from most available (widest access) to least available but with more control.
You have to decide where your priorities lie. This is where I think, again, we can look at the web and we can take principles from the web.
Eric has something he said recently that really resonates with me. He said:
The web does not value consistency. The web values ubiquity.
That’s the purpose of the web. It’s the universal access. That’s the value encoded into it.
To put this in another way, we could formulate it as:
Ubiquity, even over consistency.
That’s the design principle of the web.
This passes the reversibility test. We can picture other projects that would say:
Consistency, even over ubiquity.
Native apps value consistency, even over ubiquity. iOS apps are very consistent on iOS devices, but just don’t work at all on Android devices. They’re consistent; they’re not ubiquitous.
We saw this in action with Flash and the web. Flash valued consistency, but you had to have the Flash plugin installed, so it was not ubiquitous. It was not universal.
The World Wide Web is about ubiquity, even over consistency. I think we should remember that.
When we look here in the world’s first-ever web browser, we are looking at the world’s first-ever webpage, which is still available at its original URL. That’s incredibly robust.
What’s amazing is you can not only look at the world’s first webpage in the world’s first web browser, you can look at the world’s first webpage in a modern web browser and it still works, which is kind of amazing. If you took a word processing document from 30 years ago and tried to open it in a modern word processing document, good luck. It just doesn’t work that way. But the web values this ubiquity over consistency.
Let’s apply those principles, apply the principle of least power, apply the robustness principle. Value ubiquity even over consistency. Value universal access over control. That way, you can make products and services that aren’t just on the web, but of the web.
I posted something recently that I think might be categorised as a “shitpost”:
Most single page apps are just giant carousels.
Extreme, yes, but perhaps there’s a nugget of truth to it. And it seemed to resonate:
I’ve never actually seen anybody justify SPA transitions with actual business data. They generally don’t seem to increase sales, conversion, or retention.
For some reason, for SPAs, managers are all of a sudden allowed to make purely emotional arguments: “it feels snappier”
If businesses were run rationally, when somebody asks for an order of magnitude increase in project complexity, the onus would be on them to prove that it proportionally improves business results.
But I’ve never actually seen that happen in a software business.
A single page app architecture makes a lot of sense for interaction-heavy sites with lots of state to maintain, like twitter.com. But I’ve seen plenty of sites built as single page apps even though there’s little to no interactivity or state management. For some people, it’s the default way of building anything on the web, even a brochureware site.
It seems like there’s a consensus that single page apps may have long initial loading times, but then they have quick transitions between “pages” …just like a carousel really. But I don’t know if that consensus is based on reality. Whether you’re loading a page of HTML or loading a chunk of JSON, you’re still making a network request that will take time to resolve.
Leaving aside the fact that is literally what the browser cache takes of, I’ve seen some circular reasoning around this:
To be fair, in the past, the experience of going from page to page used to feel a little herky-jerky, even if the response times were quick. You’d get a flash of a white blank page between navigations. But that’s no longer the case. Browsers now perform something called “paint holding” which elimates the herky-jerkiness.
So now if your pages are a reasonable size, there’s no practical difference in user experience between full page refreshes and single page app updates. Navigate around The Session if you want to see paint holding in action. Switching to a single page app architecture wouldn’t improve the user experience one jot.
This is the problem that Jake set out to address in his proposal for navigation transitions a few years back:
Having to reimplement navigation for a simple transition is a bit much, often leading developers to use large frameworks where they could otherwise be avoided. This proposal provides a low-level way to create transitions while maintaining regular browser navigation.
I linked to Jake’s excellent proposal in my shitpost saying:
But then I added—and I almost didn’t—this:
Now you might be asking yourself what Paul said out loud:
Excuse my ignorance but… WTF are portals!?
Portals are a proposal from Google that would help their AMP use case (it would allow a web page to be pre-rendered, kind of like an iframe).
That was based on my reading of the proposal:
…show another page as an inset, and then activate it to perform a seamless transition to a new state, where the formerly-inset page becomes the top-level document.
It sounded like Google’s top stories carousel. And the proposal goes into a lot of detail around managing cross-origin requests. Again, that strikes me as something that would be more useful for a search engine than a single page app.
But Jake was not happy with my description. I didn’t intend to besmirch portals by mentioning Google AMP in the same sentence, but I can see how the transitive property of ickiness would apply. Because Google AMP is a nasty monopolistic project that harms the web and is an embarrassment to many open web advocates within Google, drawing any kind of comparison to AMP is kind of like Godwin’s Law for web stuff. I know that makes it sounds like I’m comparing Google AMP to Hitler, and just to be clear, I’m not (though I have myself been called a fascist by one of the lead engineers on AMP).
Clearly, emotions run high when Google AMP is involved. I regret summoning its demonic presence.
After chatting with Jake some more, I tried to find a better use case to describe portals. Reading the proposal, portals sound a lot like “spicy iframes”. So here’s a different use case that I ran past Jake: say you’re on a website that has an iframe embedded in it—like a YouTube video, for example. With portals, you’d have the ability to transition the iframe to a fully-fledged page smoothly.
But Jake told me that even though the proposal talks a lot about iframes and cross-origin security, portals are conceptually more like using
rel="prerender" …but then having scripting control over how the pre-rendered page becomes the current page.
Put like that, portals sound more like Jake’s original navigation transitions proposal. But I have to say, I never would’ve understood that use case just from reading the portals proposal. I get that the proposal is aimed more at implementators than authors, but in its current form, it doesn’t seem to address the use case of single page apps.
we haven’t seen interest from SPA folks in portals so far.
I’m not surprised! He goes on:
Maybe, they are happy / benefits aren’t clear yet.
From my own reading of the portals proposal, I think the benefits are definitely not clear. It’s almost like the opposite of Jake’s original proposal for navigation transitions. Whereas as that was grounded in user needs and real-world examples, the portals proposal seems to have jumped to the intricacies of implementation without covering the user needs.
I guess the web I want includes giant carousels.
This is a superb twenty minute presentation by Trys! It’s got everything: a great narrative, technical know-how, and a slick presentation style.
Conference organisers: you should get Trys to speak at your event!
If you’ve already subscribed to the Clearleft podcast, thank you! The first episode is sliding into your podcast player of choice.
This episode is all about …design systems!
I’m pretty happy with how this one turned out, although as it’s the first one, I’m sure I’ll learn how to do this better. I may end up looking back at this first foray with embarrassment. Still, it’s fairly representative of what you can expect from the rest of the season.
This episode is fairly short. Just under eighteen minutes. That doesn’t mean that other episodes will be the same length. Each episode will be as long (or as short) as it needs to be. Form follows function, or in this case, episode length follows content. Other episodes will be longer. Some might be shorter. It all depends on the narrative.
This flies in the face of accepted wisdom when it comes to podcasting. The watchword that’s repeated again and again for aspiring podcasters is consistency. Release on a consistent schedule and have a consistent length for episodes. I kind of want to go against that advice just out of sheer obstinancy. If I end up releasing episodes on a regular schedule, treat it as coincidence rather than consistency.
There’s not much of me in this episode. And there won’t be much of me in most episodes. I’m just there to thread together the smart soundbites coming from other people. In this episode, the talking heads are my colleagues Jon and James, along with my friends and peers Charlotte, Paul, and Amy (although there’s a Clearleft connection with all of them: Charlotte and Paul used to be Clearlefties, and Amy spoke at Patterns Day and Sofa Conf).
I spoke to each of them for about an hour, but like I said, the entire episode is less than eighteen minutes long. The majority of our conversations ended up on the cutting room floor (possibly to be used in future episodes).
Most of my time was spent on editing. It was painstaking, but rewarding. There’s a real pleasure to be had in juxtaposing two snippets of audio, either because they echo one another or because they completely contradict one another. This episode has a few examples of contradictions, and I think those are my favourite moments.
Needless to say, eighteen minutes was not enough time to cover everything about design systems. Quite the opposite. It’s barely an introduction. This is definitely a topic that I’ll be returning to. Maybe there could even be a whole season on design systems. Let me know what you think.
Oh, and you’ll notice that there’s a transcript for the episode. That’s a no-brainer. I’m a big fan of the spoken word, but it really comes alive when it’s combined with searchable, linkable, accessible text.
What I love about the web is that it’s a hypertext. (Though in recent years it has mostly been used as a janky app delivery platform.)
I am very much enjoying Matt’s thoughts on linking, quoting, transclusion, and associative trails.
My blog is my laboratory workbench where I go through the ideas and paragraphs I’ve picked up along my way, and I twist them and turn them and I see if they fit together. I do that by narrating my way between them. And if they do fit, I try to add another piece, and then another. Writing a post is a process of experimental construction.
And then I follow the trail, and see where it takes me.
I sometimes watch programmes on TG4, the Irish language broadcaster that posts most shows online. Even though I’m watching with subtitles on, I figure it can’t be bad for keeping my very rudimentary Irish from atrophying completely.
I’m usually watching music programmes but occassionally I’ll catch a bit of the news (or “nuacht”). Their coverage of the protests in America reminded me of a peculiar quirk of the Irish language. The Black community would be described as “daoine gorm” (pronunced “deenee gurum”), which literally translated would mean “blue people”. In Irish, the skin colour is referred to as “gorm”—blue.
This isn’t one of those linguistic colour differences like the way the Japanese word ao means blue and green. Irish has a perfectly serviceable word for the colour black, “dubh” (pronounced “duv”). But the term “fear dubh” (“far duv”) which literally means “black man” was already taken. It’s used to describe the devil. Not ideal.
In any case, this blue/black confusion in Irish reminded me of a delicious tale of schadenfreude. When I was writing about the difference between intentions and actions, I said:
Sometimes bad outcomes are the result of good intentions. Less often, good outcomes can be the result of bad intentions.
Back in 2017, the Geeky Gaeilgeoir wrote a post called Even Racists Got the Blues. In it, she disects the terrible translation job done by an Irish-American racist sporting a T-shirt that reads:
Gorm Chónaí Ábhar.
That’s completely nonsensical in Irish, but the intent behind the words was to say “Blue Lives Matter.” Except… even if it made grammatical sense, what this idiot actually wrote would translate as:
Black Lives Matter.
What a wonderful chef’s kiss of an own goal!
If only it were a tattoo.
Looking at COVID-19 through the lens of pace layers.
…a citizen could actually play a part that was as important as a vaccine, but instead of preventing transmission of the virus into another cell at the ACE receptor level, it’s preventing transmission of the virus at the social network level. So we’re actually adopting a kind of behavioral vaccine policy, by voluntarily or otherwise self-isolating.