Efficiency and bad outcomes

Yossi Kreinin has a new blog post out about how the push for greater efficiency in organizations leads to negative outcomes, because it leads to teams pursuing local efficiency goals rather than doing what’s genuinely best for the business.

A concrete example of this phenomenon in action is Mihail Eric’s first-hand account on how Amazon fell behind in the AI race, despite having a significant head start. There’s a ton of great detail there, I’ll excerpt just one example from the piece:


I remember on one occasion our team did an analysis demonstrating that the annotation scheme for some subset of utterance data was completely wrong, leading to incorrect data labels.


That meant for months our internal annotation team had been mislabeling thousands of data points every single day. When we attempted to get the team to change their annotation taxonomy, we discovered it would require a herculean effort to get even the smallest thing modified.


We had to get the team’s PM onboard, then their manager’s buy-in, then submit a preliminary change request, then get that approved (a multi-month-long process end-to-end).


And most importantly, there was no immediate story for the team’s PM to make a promotion case through fixing this issue other than “it’s scientifically the right thing to do and could lead to better models for some other team.” No incentive meant no action taken.


Since that wasn’t our responsibility and the lift from our side wasn’t worth the effort, we closed that chapter and moved on.


For all I know, they could still be mislabeling those utterances to this day.


And now, back to Kreinin’s original post. This bit jumped out at me, where he contrasts the pathologies of human organizational systems with the non-pathologies of biological ones:

Your legs don’t fight your heart, brain and each other for the oxygen budget; every organ only uses what it needs, and is optimized for efficiency.

It’s actually more interesting than that. Our organs don’t use only what they need: they have some surplus capacity, which they are able to lend to other organs when your body anticipates that those other organs will need the additional resources. This phenomenon is called allostasis. I find myself turning back to Peter Sterling’s paper Allostasis: A Model of Predictive Regulation:

Efficiency requires organs to trade-off resources, that is, to grant each other short-term loans. For example, resting skeletal muscle uses ~1.2 liters of oxygenated blood per minute, but peak effort requires ~22 l/min, nearly 20-fold more. Cardiac output increases, but that is insufficient, and although muscle can store fuel (glycogen and fatty acids), it cannot store much oxygen. Nor would it help to maintain a reservoir of de-oxygenated blood because at peak demand the lungs operate at full capacity. So a reservoir of de-oxygenated blood would require a reservoir of lung and heart. In turn, these would require increased capacities for digestion, absorption, excretion, and cooling. Consequently, for a non-storable resource subject to variable demand, it is most efficient to borrow.

What Kreinin points out is a real risk of what David Woods refers to as brittleness in organizations. As he points out in his theory of graceful extensibility, resilient systems require that agents within a system lend out resources to each other in times of need. But the natural inclination of management to incentivize efficiency pushes the system in the exact opposite direction. This leads to behaviors that Woods and Branlat refer to as locally adaptive but globally maladaptive.

Kreinin believes that this type of behavior is inevitable in competently managed organizations, where goals set out by management are clear, and so he argues for the potential virtues of an incompetently managed organization, where individuals are left to come up with their own goals.

If someone invites you to work for a company that’s run very badly, there might well be a good story there – this is far from guaranteed, but you might want to hear the details. And by “a good story”, I don’t mean “yay, here’s a place to slack off at,” but “maybe I can finally get some work done that I hardly ever get the chance to do.”

Ouch.

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Published on July 05, 2024 09:45
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