data
INSUFFICIENT DATA FOR MEANINGFUL ANSWER.
The Eyes Have It
A Research Paper by Ben ShneidermanThe trend is your friend 'til the bend at the end
A Fragment by Noah SmithIn the past, GDP and resources use have always been tightly correlated. But this is just drawing a line through some data — it’s not based on any deep theory. And in fact, these correlations can change very quickly. Just as one example, here’s energy use versus GDP since 1949.
If you were sitting in 1970, you could look at this curve and claim, very confidently, that economic growth requires concomitant increases in energy use. And you’d be wrong. Because the trend is your friend til the bend at the end.
Embracing Asymmetrical Design
An Article by Ben NadelHumans love symmetry. We find symmetry to be very attractive. Our brains may even be hard-wired through evolution to process symmetrical data more efficiently. So, it's no surprise that, as designers, we try to build symmetry into our product interfaces and layouts. It makes them feel very pleasant to look at.
Unfortunately, data is not symmetrical…Once you release a product into "the real world", and users start to enter "real world data" into it, you immediately see that asymmetrical data, shoe-horned into a symmetrical design, can start to look terrible.
To fix this, we need to lean into an asymmetric reality. We need to embrace the fact that data is asymmetric and we need to design user interfaces that can expand and contract to work with the asymmetry, not against it. To borrow from Bruce Lee, we need to build user interfaces that act more like water:
“You must be shapeless, formless, like water. When you pour water in a cup, it becomes the cup. When you pour water in a bottle, it becomes the bottle. When you pour water in a teapot, it becomes the teapot. Water can drip and it can crash. Become like water my friend.” — Bruce Lee
Goodbye, Google
An Article by Douglas BowmanWithout a person at (or near) the helm who thoroughly understands the principles and elements of Design, a company eventually runs out of reasons for design decisions. With every new design decision, critics cry foul. Without conviction, doubt creeps in. Instincts fail. “Is this the right move?” When a company is filled with engineers, it turns to engineering to solve problems. Reduce each decision to a simple logic problem. Remove all subjectivity and just look at the data. Data in your favor? Ok, launch it. Data shows negative effects? Back to the drawing board. And that data eventually becomes a crutch for every decision, paralyzing the company and preventing it from making any daring design decisions.
Yes, it’s true that a team at Google couldn’t decide between two blues, so they’re testing 41 shades between each blue to see which one performs better. I had a recent debate over whether a border should be 3, 4 or 5 pixels wide, and was asked to prove my case. I can’t operate in an environment like that. I’ve grown tired of debating such minuscule design decisions. There are more exciting design problems in this world to tackle.
The Subtleties of Color
A Series by Robert SimmonThe use of color to display data is a solved problem, right? Just pick a palette from a drop-down menu (probably either a grayscale ramp or a rainbow), set start and end points, press “apply,” and you’re done. Although we all know it’s not that simple, that’s often how colors are chosen in the real world. As a result, many visualizations fail to represent the underlying data as well as they could.
Data Farming
A Research PaperMiners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data.
Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information.
It's All Over
It has come to seem to me recently that this present moment must be to language something like what the Industrial Revolution was to textiles. A writer who works on the old system of production can spend days crafting a sentence, putting what feels like a worthy idea into language, only to find, once finished, that the internet has already produced countless sentences that are more or less just like it, even if these lack the same artisanal origin story that we imagine gives writing its soul. There is, it seems to me, no more place for writers and thinkers in our future than, since the nineteenth century, there has been for weavers.
Into the system of flight
It seems this transformation, from physical object to vector of data, is a general and oft-repeated process in the history of technology, where new inventions begin in an early experimental phase in which they are treated and behave as singular individual things, but then evolve into vectors in a diffuse and regimented system as the technology advances and becomes standardized.
In the early history of aviation, airplanes were just airplanes, and each time a plane landed or crashed was a singular event. Today, I am told by airline-industry insiders, if you are a billionaire interested in starting your own airline, it is far easier to procure leases for actual physical airplanes, than it is to obtain approval for a new flight route. Making the individual thing fly is not a problem; inserting it into the system of flight, getting its data relayed to the ATC towers and to flightaware.com, is.
The gutting of our human subjecthood
Someone who thinks about their place in the world in terms of the structural violence inflicted on them as they move through it is thinking of themselves, among other things, in structural terms, which is to say, again among other things, not as subjects. This gutting of our human subjecthood is currently being stoked and exacerbated, and integrated into a causal loop with, the financial incentives of the tech companies. People are now speaking in a way that results directly from the recent moneyballing of all of human existence.
A performative contradiction
I have found myself coming away from discussions with my good PR people feeling vaguely guilty that I do not have enough followers on Twitter (five thousand is the cut-off, I think) to be considered an “influencer,” or even just a “micro-influencer,” and feeling dismayed to learn that part of what is involved in launching a book like this into the world is strategizing over how to catch the attention of a true influencer, for a retweet or some other metrically meaningful shout-out. You would be a fool to think that it is the argument of the book, the carefully crafted sentences themselves, that are doing the influencing.
And yet for me to try to insert myself into the metrics-driven system would be a performative contradiction, since the book itself is an extended philippic against this system. And so what I do? I play along, as best I can, until I start to feel ashamed of myself. I contradict myself.
The one reveals a subject and the other reveals an algorithm
My own book may be crap, but I am certain, when such an imbalance in profitability as the one I have just described emerges, between photojournalism and selfies, that it is all over. This is not a critical judgment. I am not saying that the photos of Pol Pot are good and the selfies are bad. I am saying that the one reveals a subject and the other reveals an algorithm, and that when everything in our society is driven and sustained in existence by the latter, it is all over.