(Roughly) Daily

Posts Tagged ‘Seeing Like a State

“The chief aim of Interpretation is not instruction, but provocation”*…

The estimable Henry Farrell on James Scott and technology…

The political scientist James Scott died last week. I only knew him through email – an occasional and irregular correspondence, mostly involving unsuccessful attempts to organize discussion at political science conferences around his work. As he suggested in a biographical essay, “Intellectual Diary of an Iconoclast,” which just came out a few months ago, he was semi-detached from his academic discipline.

I’ve wandered away from political science, though I could argue that political science has wandered away from me. I am honored even to be seen as a specialist, and probably as much to be embraced by anthropology and history.

The world was better for his iconoclasm. Scott wrote far more beautifully than political scientists are supposed to write and his ideas and work were too big to fit into any discipline. Although arguments were largely rooted in the past, his book, Seeing Like a State: How Certain Schemes to Improve the Human Condition Have Failed, has shaped how we think about technology.

Seeing Like a State is important because of how it sets up the problem of modernity. Scott was a critic of the vast impersonal systems – bureaucracies and markets – that modern society depends on. He believed that they prioritized the kind of thinking that comes easily to engineers over the kind that comes readily to peasants and craftsmen, and that we had lost something very important as a result.

In Scott’s account, both governments and long distance markets “see” the world through abstractions – technical standards, systems of categories and the like. A government cannot see its people directly, or what they are doing. What it can see are things like statistics measuring population, the number of people who are employed or unemployed, the percentages of citizens who work in this sector or that, and the like. These measures – in numbers, charts and categories – allow it to set policy.

Such knowledge grants its users enormous power to shape society – but often without the detailed, intimate understanding that would allow them to shape it well. There is a lot of social reality that is described poorly, or not at all, by categories or statistics. Even so, as governments and markets established their power, they not only saw the world in highly limited ways but shaped it so that it conformed better to their purblind understanding, ironing out the idiosyncrasies and apparent inefficiencies that got in the way of their vast projects. The state did not just ‘see’ its society through bureaucratic categories, but tried to remake this society so that it fit better with the government’s preconceptions.

So too for the abstractions and general categories that long distance markets depend on, as the historian William Cronon observed in his great book on nineteenth century Chicago, Nature’s Metropolis (Scott was a fan). As another scholar observed of Chicago’s late twentieth century markets, abstract seeming financial conceptions may be engines, not cameras, making the economy rather than merely reflecting them.

This abstraction of the world’s tangled complexities into simplified categories and standards underpinned vast state projects, and supported enormous gains in market efficiency. We could not live what we now consider to be acceptable lives without it, as Scott somewhat grudgingly acknowledged. It also often precipitated disaster, including Soviet collectivization and China’s Great Famine.

So what does this have to do with modern information technology? Quite straightforwardly: if you read Scott, you will see marked similarities between e.g. the ambitions of 1960s bureaucrats, convinced that they can plan out countries and cities for “abstract citizens” and the visions of Silicon Valley entrepreneurs, convinced that algorithms and objective functions would create a more efficient and more harmonious world.

Scott focuses on officials in developing countries, who were starry-eyed about “planning.” Many of their notions came second-hand from the most striking example of high modernism, the effort of Soviet bureaucrats to use production statistics and linear programming to make the planned economy work. This provides the most obvious connection between what Scott talks about and the algorithmic ambitions of Silicon Valley today. A distinct whiff of “Comrades, Let’s Optimize!” lingers on, for example, in the airy optimism of Facebook executive Andrew Bosworth’s infamous “We connect people. Period” memo.

Both the old ambitions and the new are bets on the universal power of a particular kind of engineering knowledge – what Scott calls techne, the kind of knowledge that can “be expressed precisely and comprehensively in the form of hard-and-fast rules (not rules of thumb), principles, and propositions.” Scott describes the limits of techne in ways that resonate today. The grand failed projects of the mid-to-late twentieth century – vast rationalized cities like Brasilia laid out according to plans that seemed almost to be the squares of a chessboard; efforts to displace peasants and plan agriculture at scale – are close cousins to Facebook’s failed ambitions to build a world of shared connections on algorithmic foundations, and the resulting social media Brezhnevism of today.

Hence, 20th century state planning and 21st century social media evangelism are different flavors of what Scott called “high modernism … a sweeping, rational engineering of all aspects of social life in order to improve the human condition.” High modernism was both a faith and a practice. It turned rich and diffuse social relations into something much thinner, which could be measured and observed.

Against this kind of knowledge, Scott suggested the value of metis – “the kind of knowledge that can be acquired only by long practice at similar but rarely identical tasks, which requires constant adaptation to changing circumstances.” This is the kind of tacit knowledge that peasants come to build about their land and the weather, or that people in less regimented societies accumulate about how to live with others in tolerable peace. Scott – an anarchist – greatly preferred this latter kind of knowledge, and the societies that valued it more, to the kind of world we live in today.

Scott provides intellectual ammunition for those who want to understand what Silicon Valley has in common with past grand efforts to improve the human condition. It’s a fountain of useful comparisons…

[Farrell reviews elaborations on and critiques of Scott’s thought…]

… All this suggests that you could reframe my criticisms of Scott in more positive ways. His contribution is not to provide a systematic framework for getting ourselves out of the hole we have dug ourselves into, but to plant some of the seeds for a different intellectual ecology, in which others will take up his thoughts, use them to argue, also arguing with them and arguing with each other, and hence discover aspects of the world that they would never have seen otherwise. That would be as fine a legacy as any thinker could want…

Eminently worth reading in full: “High Modernism made our world,” from @mastodon.social@henryfarrell in his wonderful newsletter Programmable Mutter.

See also: “The Art of Pretending to Govern,” from @vgr.

Freeman Tilden

###

As we see like a state, we might we might recall that it was on this date in 1776 that the Declaration of Independence was actually signed (by all of the signatories except Matthew Thornton from New Hampshire, who inked it on November 4, 1776).  After the Continental Congress voted to declare independence on July 2, the final language of the document was approved on July 4– to wit our celebration of the date– and it was printed and distributed on July 4–5.

70222-600w-us-capitol-rotunda-painting-trumbull-declaration-independence
John Trumbull’s depiction of the signing of the Declaration of Independence, Capitol Rotunda

source

“The purpose of a system is what it does”*…

Via Patrick Tanguay and his wonderful newsletter, Sentiers. Tanguay observes, “diagnosing what’s going on in society right now, how our multiple systems function and the issues that emerge from that, is not an easy task. It’s probably unfair then to also expect solutions from one article, but that’s what I was hoping for by the end of this one,” by Barath Raghavan and Bruce Schneier

Technology was once simply a tool—and a small one at that—used to amplify human intent and capacity. That was the story of the industrial revolution: we could control nature and build large, complex human societies, and the more we employed and mastered technology, the better things got. We don’t live in that world anymore. Not only has technology become entangled with the structure of society, but we also can no longer see the world around us without it. The separation is gone, and the control we thought we once had has revealed itself as a mirage. We’re in a transitional period of history right now.

We tell ourselves stories about technology and society every day. Those stories shape how we use and develop new technologies as well as the new stories and uses that will come with it. They determine who’s in charge, who benefits, who’s to blame, and what it all means.

Some people are excited about the emerging technologies poised to remake society. Others are hoping for us to see this as folly and adopt simpler, less tech-centric ways of living. And many feel that they have little understanding of what is happening and even less say in the matter.

But we never had total control of technology in the first place, nor is there a pretechnological golden age to which we can return. The truth is that our data-centric way of seeing the world isn’t serving us well. We need to tease out a third option. To do so, we first need to understand how we got here.

When we describe something as being abstract, we mean it is removed from reality: conceptual and not material, distant and not close-up. What happens when we live in a world built entirely of the abstract? A world in which we no longer care for the messy, contingent, nebulous, raw, and ambiguous reality that has defined humanity for most of our species’ existence? We are about to find out, as we begin to see the world through the lens of data structures.

Two decades ago, in his book Seeing Like a State, anthropologist James C. Scott explored what happens when governments, or those with authority, attempt and fail to “improve the human condition.” Scott found that to understand societies and ecosystems, government functionaries and their private sector equivalents reduced messy reality to idealized, abstracted, and quantified simplifications that made the mess more “legible” to them. With this legibility came the ability to assess and then impose new social, economic, and ecological arrangements from the top down: communities of people became taxable citizens, a tangled and primeval forest became a monoculture timber operation, and a convoluted premodern town became a regimented industrial city.

This kind of abstraction was seemingly necessary to create the world around us today. It is difficult to manage a large organization, let alone an interconnected global society of eight billion people, without some sort of structure and means to abstract away details. Facility with abstraction, and abstract reasoning, has enabled all sorts of advancements in science, technology, engineering, and math—the very fields we are constantly being told are in highest demand.

The map is not the territory [quoth Alfred Korzybski], and no amount of intellectualization will make it so. Creating abstract representations by necessity leaves out important detail and context. Inevitably, as Scott cataloged, the use of large-scale abstractions fails, leaving leadership bewildered at the failure and ordinary people worse off. 

But our desire to abstract never went away, and technology, as always, serves to amplify intent and capacity. Now, we manifest this abstraction with software. Computing supercharges the creative and practical use of abstraction. This is what life is like when we see the world the way a data structure sees the world. These are the same tricks Scott documented. What has changed is their speed and their ubiquity…

… Data structures dominate our world and are a byproduct of the rational, modern era, but they are ushering in an age of chaos. We need to embrace and tame, but not extinguish, this chaos for a better world…

As [Lewis] Mumford wrote in his classic history of technology, “The essential distinction between a machine and a tool lies in the degree of independence in the operation from the skill and motive power of the operator.” A tool is controlled by a human user, whereas a machine does what its designer wanted. As technologists, we can build tools, rather than machines, that flexibly allow people to make partial, contextual sense of the online and physical world around them. As citizens, we can create meaningful organizations that span our communities but without the permanence (and thus overhead) of old-school organizations.

Seeing like a data structure has been both a blessing and a curse. Increasingly, it feels like it is an avalanche, an out-of-control force that will reshape everything in its path. But it’s also a choice, and there is a different path we can take. The job of enabling a new society, one that accepts the complexity and messiness of our current world without being overwhelmed by it, is one all of us can take part it. There is a different future we can build, together…

A fascinating and important piece: “Seeing Like a Data Structure,” @schneierblog @BelferCenter. Eminently worth reading in full.

See also: “Empty Innovation

Stafford Beer

###

As we reframe, we might send free birthday greetings to Matthias Ettrich; he was born on this date in 1972. A computer scientist interested in Linux and open source software, he Ettrich founded KDE in 1996 to create (as he put it on Usenet) “consistent, nice looking free desktop environment” for Unix-like systems using Qt as its widget toolkit– to which end, he has developed LyX. A German, operating in Berlin, Ettrich was awarded the Federal Cross of Merit for his contributions to free software.

source