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Then, your time horizon for redundancy is not one year, or twenty years, but ''two-hundred and fifty years''. Quarter of a millennium: that is how long it would take to earn back $5 billion in twenty million dollar clips. | Then, your time horizon for redundancy is not one year, or twenty years, but ''two-hundred and fifty years''. Quarter of a millennium: that is how long it would take to earn back $5 billion in twenty million dollar clips. | ||
===On the virtue of slack=== | |||
Redundancy is another word for “slack”, in the sense of “looseness in the tether between interconnected parts of a wider whole”. | |||
To optimise normal operation, we hear, we should ''minimise'' slack, thereby generating maximum responsiveness, handling, cornering: what musicians would call “attack” — tightness gives the greatest torque, the most direct transmission of power to road; the minimum ''latency''. | |||
The tighter we couple inputs to outputs, the faster the response. But the less margin there is for variation. | |||
And, as {{author|Charles Perrow}} notes<ref>In one of the JC’s favourite books, {{br|Normal Accidents: Living with High-Risk Technologies}}.</ref> this in-the-moment flow state, when the machine is humming, is only a stable state in tightly constrained environments. Where every outcome can be predicted, monitored, and sub-optimal ones can be avoided by rote. | |||
But, generally, these are not very interesting environments. They are production lines. Factory shop floors — [[nomological machine|nomological machines]] — where every element of the process is under control. It is where production is ''not'' tightly controlled — intervening agents, third parties, shifting priorities and market conditions — that things get “interesting”. | |||
That very lack of “give” that makes a sports car so responsive on a dry track makes it skid off a wet one. The less slack there is, the less time an operator has to diagnose and fix a problem — or shut the system down — to avoid catastrophic damage. | |||
A system with built-in back-ups and redundancies can go on working while we repair failed components. A certain amount of “stockpiling” in the system allows production to continue should there be any outages or supply chain problems throughout the process. | |||
But even a production line environment is not perfectly stable. It should be in a constant state of improvement whereby engineers monitor and adjust to optimise, to cater for evolving demand, to react to market developments, and capitalise on new technology and knowhow. | |||
This is “meta-production”: a valuable “background processing” function — important and valuable but not day to day “urgent”— for which “redundant” personnel can be occupied, from which they can redeploy immediately should a crisis arise. | |||
This has two benefits: firstly the process of “peacetime” self-analysis should in part be aimed at identifying emerging risks and design flaws in the system, thus heading off incipient crisis; secondly, to do that the personnel need ''expertise'': an intimate, detailed, holistic understanding of the process and the system. By intimately understanding the system, these second-line workers should therefore be better able to react to a crisis should one arise. | |||
This behaviour rewards long-term “skin in the game”. The best employees here are long-serving, local, full-time, employees full of institutional knowledge and practical hands-on systems knowhow. Inexperienced outsourced labour, of the sort by whom these traditional experts are being systematically replaced, will be far less use in either role. | |||
To be sure, the importance of employees, and the value they add, is not constant. We all have flat days where we don’t achieve very much. In an operationalised workplace they pick up a penny a day on 99 days out of 100; if they save the firm £ on that 100th day, it is worth paying them 2 pennies a day every day even if, 99 days out of 100, you are making a loss. |