Template:M intro systems financialisation

“There’s a war going on. The battlefield’s in the mind, and the prize is the soul. So be careful.”

— Prince, Don’t Be Fooled By The Internet (1999)

Financialisation
/faɪˈnænʃᵊlaɪˈzeɪʃᵊn/ (n.)

1. General: The increasing importance of financial markets, motives, institutions, and elites in the operation of the economy and its governing institutions.
2. JC’s own meaning: The high-modernist goal of reducing ineffable things to calculable, and manipulable quantities. So: David Graeber’s social indebtedness — the nebulous set of cross pollinating reciprocal favours we do to each other that both define our “community of interest” and bind it together , with a view that our debts to each other are never discharged — versus monetary indebtedness — specific, delimited obligations that have a defined value, time cost and term, and whose price must be paid in full. (It is if course an irony that the very continued existence of a financial indebtedness depends on ongoing “social” indebtedness — exactly the sort of unmeasurable, ineffable trust relationships that financialisation would seek to eradicate with devices like the distributed ledger and permissionless Blockchain)

Machine-legible

The most manipulable, fungible, calculable, aggregatable articulation of value known to Western society is cash — fiat cash, sorry cryptobros — and it is the common language in which we describe our interrelationships. Hence “financialisation”.

But we are talking metaphorically here: there is “financialisation” in a broader sense that need not involve money as such: Out-of-five product reviews, performance appraisals, RAG statuses, net promoter scores, QR codes — any numerically measurable criteria that convert the messy, idiosyncratic, intractable life experience into ordered columns, pivot tables, and scatter plots that can be averaged, extrapolated, enriched, Pareto triaged, standard deviation plotted, and put into ranked, tranched order.

There are no straight lines in nature

There is no machine for judging poetry.

In which JC reminds us of Robin Williams’ great scene in The Dead Poets Society and invites us to, well, take it metaphorically. Peotry, right?

There is no machine for judging commerce either.

Any metrics, balance sheet, org chart, projection or discounted cashflow analysis — any formal accounting for the intensely human activity of doing business jettisons much of what is important about it. The map can never be more than a schematic. It cannot convey the grandeur — or the horror — of the territory. The jettisoning is part of the exercise: it is, itself to make a judgment about what is and is not important. It is to extract a signal from noise. That signal is ad hoc, imaginary, a creative work, and by no means exclusive to the hubbub: there are infinite array of signals we could take out of the hubbub; the ones we do are determined by our cultural fabric, which is made of all the decisions, signals, and institutions we have already built. This relativity terrifies “right thinking people”, but there is no way around it: it is best just to ignore it.

Sidebar on Ignorance

In a world where every communication is tracked, kept, logged, stored and discoverable, where “what you see is all there is” we should not underestimate the perfidious power of ignoring things. The Post Office Horizon IT scandal refers: the number of smoking gun emails that went unacknowledged, unresponded to, that left their recipient with the plausible deniability — I did not see it, I did not read it that way, I just don’t recall — could fill volumes.

The culture of fear in organisations leads to two kinds of ignorance: the canny will not respond on the record at all — any pretext for not doing so (an inappropriate tone, hyperbole, anger, however justifiable) — buttresses that decision. In a perfectly passive aggressive organisation with uneasy peace, the discontented are discouraged, on pain of censure, from even raising objections, whereupon no need for silence as a strategy even arises. }}

That much is obvious: it is not the lesson we should be drawing, as we should already know it. It is already imprinted in our cultural fabric, however determined the modernists may be to forget it

The lesson is this. If we mistake the map for the territory — if we organise our interests and judge our outcomes exclusively by reference to the map, we thereby change the territory. Gradually, by degrees, the territory converges on the map. This is excellent news for the machines and those who employ them, as it makes their job easier, but amongst the rest of us it is only convenient for cartographers. It is bad for the people in the territory whose interests the cartographers supposedly represent. It leads to two kinds of bad outcomes.

1. It makes life easier for “algorithmic” business units that can only work in terms of numbers — call these “machines”. It enhances financialisation be reducing ineffability. The benefit of network nodes that can handle ineffability — that tend to be more expensive and less predictable — we call these subject matter experts, or even humans — is diminished. Now of course we can assign humans to algorithmic roles — where there is peripheral intractability in a network function, we have no choice — but as the territory redraws itself to the map, we can further marginalise that ineffability, and deploy cheaper humans, and at the limit, replace them altogether. Where intractability is hard, but not important — by interpreting unstructured inputs, as in a consumer helpline and triaging easy/low value queries— then techniques like AI can already handle it. By agreeing to behave like machines, to be categorised according to numerical terms, to be financialised — we surrender to machines
2. It leads to actual bad outcomes in the territory. No better example than the Post Office Horizon scandal.

Things that can’t be ranked and counted — that aren’t “legible” to this great high powered information processing system — have no particular value to the system, in the system’s terms — it can't digest them, extract value out of them which it does by processing — this is so whether or not these have any value to us.

Value

Value is a function of cultural and linguistic context — the richer the language, the more figurative, the more scope for imagination, the more scope for alternative formulations of value. Conversely, inflexible languages, with little scope for imaginative reapplication have much less scope for articulating values — it is much harder to capture all that richness of meaning. The closer a language is to one-way symbol processing, the more it resembles code. Machine languages cannot handle ineffability. (This is a highly relativistic sense of value by the way. Guilty as charged.)

If you render suman experience in machine language, much less in the constrained parameters of internal financial reporting standards, you are losing something. You are losing a lot.

But if energy is free you can afford to be wasteful with it. If your financialising techniques generate enough financial value (that is, money) for the same amount of effort, who cares how much extra ineffable value leaks out of the system as you go? This is the promise of scale, and the interconnected network promises a lot of scale. Go Taylor Swift, forget about the Nietzsche-loving doom metal merchant from Austin.

In the eyes of the financialising machine the unique differing pleasures we derive from Marcus Aurelius’ Meditations — or listening to Keegan Kjeldsen talking about Robert Michel's iron law of oligopoly — or, damnit ,even Taylor Swift —reduce precisely to the unit cost for which items of that cultural artefact can be sold, over the cost of producing and distributing it. Any greater value — the life lesson, aphorisms and fortitude it magically confers that guide you through through your heaviest seas and blackest storms count for nothing. It is hardly a novel idea to regret that something is being lost hereby.

Conversely, things that can be counted can acquire “value” even if they don't have value. There are plenty of examples of this — things that sell at a greater margin than they cost — carbonated soft drinks, bottled water — or bitcoin, fashion, cosmetics professional sports, commercial music. Followers. Subscribers. Eyeballs. Clicks. Diversity reduced to a set of arbitrary criteria, characteristics, that can then be catalogued, categorised and analysed. The system can only understand diversity by homogenising it. I mean, talk about irony.

This will to financialisation distils down to a worldview that the analogue, informal, unique, different, the diverse — all those things that require judgment, patience , understanding, — that take “metis” are therefore expensive, troublesome, irksome, difficult, slow and unscalable and therefore bad.

JC has said this before: if we reorganise our values to suit the machines, we will lose to the machines. Do not surrender before kick-off.

These things used to be premium. Now we have premium mediocre — artificially scarce, disingenuously novel, that sapping word, “content” — generated for its own sake, that we pay for, or value, for its own sake — see above.

We are all out here desperately searching for meaning, and it is up to us what we settle for. But if we settle for the premium mediocre the authentic — the real meaning, value — will wither and die.

Our own attitudes, and the stories we tell ourselves, and each other, matter. If we settle for premium mediocre that is what we will get. Until we are replaced.

The ineffable value of uncertainty and the difference between risk (a calculable probability) and uncertainty (intractable, black box, non-linear).

The modernist yen — imperative — need — to reduce uncertainty to risk, and the false comfort this gives. The Viniar problem.

But non-linear loss is the consequence, and corollary of non-linear opportunity and vice versa. If we put our selves on a linear track that approximates the non-linear reality we will be fine until there is actual event at either end. Persuading everyone else to get on the linear track is a good strategy. As long as it works. If you can persuade everyone in the system to behave, the system will “behave” — in the sense of not producing unexpected outcomes, and not necessarily optimising, or producing particularly good outcomes. Volatility will drop. As long as everyone behaves.

Misbehaviour as arbitrage

Misbehaviour is arbitrage: exploiting structural differentials you are not, by the rules of the game, meant to see, and that the loyal behavers cannot see (or refuse to look at). They may be obscured by the behaver’s internal model/narrative, or by moral principles. In either case arbitrage behaviour is destructive to the present configuration of the system, and those who stand to gain from the present configuration will be hostile to arbitrage. Arbitrage is defection. The system will be set up to make arbitrage difficult, and to eradicate it, that is to say. The system will self purge. To the extent it doesn’t this will be because of novelty — a previously undetected arbitrage opportunity has arisen. This could be a latent arbitrage — that was always there, but no-one noticed, or one arising from new technology, new language or a new independent event presenting itself to the system

The longer the system has been in play the less likely a latent arbitrage is to have lain undiscovered, and the fewer existentially threatening independent, non-agent events (non-directed, force majeure style events) there will be. This is the Lindy effect. New technology and new language arising spontaneously within the system can largely be controlled, if you so wish, but extraneous technology and language cannot, and for these the Lindy effect does not apply.

So, totalitarian states can survive as long as they have the wherewithal to enforce rules internally, and that is in large part a function of keeping external ideas out. Prime example: North Korea - self imposed — Gaza (externally imposed)

Across the wider system, open architecture, tolerance, pluralism, a plurality of narratives enhance the resilience of the overall system, but jeopardise the resilience of individual actors at the top of the system, who will, hence take steps to close architecture, mute plurality and shut down “arbitrageurs”, whom we can call malcontents. Strong open architecture systems have to have rules and feedback loops that protect that open architecture — entrenched rights of freedom of expression, limits on executive and corporate power, robust antitrust enforcement and so on.

It is not necessarily causative, but also no accident, that The places most obviously associated with those features have had the strongest economies: UK and US. But in both cases these principles are currently stressed.

What if I turn out to be wrong?

Consequences of this instinct

• Private equity
• Outsourcing/management consulting

The desire for digital certainty

James C. Scott’s observation that a top-down organisation can only operate by what it sees, which necessarily misses nuance. Centrally planned states have the blessing and the curse of scale. A relatively small governing class can effectively accommodate — satisfice — the needs of a great many people as long as everyone’s needs are suitably generic. The more generic they are the better margins can maintain.

The normal offsetting effects of competition are muted in an interconnected world where the scale advantage can usually drown out market entrants as long as the market/product demand stays relatively constant. There are few but significant disruptions (computers, internet, mobile internet — not yet clear whether AI is another one). Beyond these market dominators can generally defend their positions.

Robert Michels’ iron law of oligopoly, that at all organisations concentrate “power” and become top-down

The madness of crowds and our interconnectedness: if it was hard to be exceptional before the internet, it is so much harder now. Yet we kid ourselves that we are all exceptional. If we are all competing at the same thing, we have almost no chance of excelling. These are the Bayesian priors. But everyone of us is different.

Averagarianism

Outsourcing and offshoring as the relentless financialisation of the internal firm.

The Peter Principle that we rise to our own level of incompetence so will be dispositionally bad at the hard parts of our job. The basic narcissism or Dunning Krugerism of those prepared to do what it takes to climb the greasy pole required to want to be a chief executive officer or politician - those who want the job enough to get it

Data modernism and the conviction that everything now can be solved, and mankind is something to be overcome.

Fundamental ineffability

Stand for something, or you’ll fall for anything.

—Anon.

It is there but we really have to want it - and stand up for it.

James C Scott: Metis.

Chris Anderson’s The Long Tail: How Endless Choice is Creating Unlimited Demand: there really is a long tail out there — proverbial doom metal merchants lecturing insightfully on Nietzsche — but we are allowing it to wither on the vine. Our moral responsibility, if we want to keep it, is to support it. But are they dying out like local bookstores? We need to nurture them.

The informal and formal lines of information in any organisation - in this take Jane Jacobs, desire lines