Against Optimization
The language of optimization has escaped its technical origins and colonized the way we think about time, attention, relationships, and the self. What we have lost in the translation is the idea that some things should not be made more efficient.
The word arrived in the self-help section sometime around 2010 and has not left. Optimize. Your morning routine, your sleep, your diet, your social calendar, your reading list, your grief, your relationships. The books that use this word — and there are hundreds of them now, organized on their own shelf — share a set of assumptions so pervasive they have become nearly invisible: that human life can be improved by applying to it the same analytical techniques we apply to industrial processes; that what makes a factory more productive can, with the right adjustments, make a person more productive; and that being more productive is, without further argument, better.
This essay is an argument against those assumptions. Not against efficiency as such — efficiency in the right domains is a genuine good — but against the colonization of human life by an optimization discourse that has smuggled in, as an unexamined premise, a specific and impoverished answer to the most important question philosophy has ever posed: how should a person live?
A Brief History of an Escaped Vocabulary
The word optimize has a technical origin. It entered the mathematical lexicon in the nineteenth century to describe the formal problem of finding a maximum or minimum value for a function subject to constraints. Operations research, which crystallized as a discipline during the Second World War, developed systematic methods for solving optimization problems at scale: how to route supply convoys to minimize losses, how to schedule factory shifts to maximize output, how to allocate bomber flight paths to maximize target coverage. These were genuine problems with genuine solutions, and the solutions saved lives and won wars.
The migration from industrial systems to human beings began with Frederick Winslow Taylor, whose Principles of Scientific Management (1911) argued that workers could be studied, measured, and reorganized on the same principles that applied to machines. The Taylorist program was, in the factory context, brutally effective at some things and disastrous at others — it increased measurable output and destroyed craft knowledge, worker autonomy, and much of what made work bearable — but that mixed verdict did not slow the vocabulary's expansion.
By the time Peter Drucker was writing about "management by objectives" in the 1950s and 1960s, the language of industrial optimization had arrived in the white-collar office. By the time Tim Ferriss published The 4-Hour Workweek in 2007, it had arrived in the individual's relationship to her own life. The arc from Wednesbury to the Pomodoro Technique took about a century.
What changed with the digital era was not just the spread of the vocabulary but the development of an infrastructure that made optimization of the self technically feasible in new ways. Wearable devices track sleep quality, heart rate variability, and blood oxygen saturation. Apps log meals and calculate macronutrient ratios. Productivity software records how many minutes you spent on each task. The Quantified Self movement made explicit what the broader optimization culture only implied: the human being as a system whose performance metrics can be monitored, analyzed, and improved through deliberate intervention.
This is a very specific vision of what a human being is, and it is worth asking whether it is true.
The Prior Specification Problem
Every optimization problem, technically understood, requires a prior specification of two things: what you are optimizing for (the objective function) and what constraints you are operating within. This is not optional. A mathematical optimizer with no objective function is not an optimizer at all — it is just a machine acting on a system without direction.
The optimization movement, as it applies to human life, manages the question of the objective function through a series of deflections. Most productivity literature treats the objective as given — more output, more achievement, more engagement — and concerns itself with methods for achieving it. The implied argument is: given that you want to accomplish more, here is how to accomplish more more efficiently. The question of whether more is the right target is not raised, because raising it would dissolve the entire enterprise. A book called Getting Things Done is only useful to someone who has already decided that getting things done is the point.
But the deepest questions in any human life are precisely questions about what to optimize for. Should I spend the next decade building a business or raising children with my full attention? Should I pursue the career that will bring me the most money, the most social recognition, or the most intrinsic satisfaction — and what do I do when these diverge? Should I organize my friendships around people who energize me (which is what the optimization literature recommends) or should I maintain obligations to people who sometimes drain me because those obligations are part of what it means to be a loyal friend?
These are not questions that yield to optimization. They are questions that require wisdom — a capacity for judgment about what matters, developed through experience and reflection and conversation with other people who have wrestled with the same questions. And the reason they resist optimization is not a technical limitation that better algorithms will eventually overcome. It is that the specification of the objective is the hard part, and you cannot build a more efficient path to a destination you have not yet identified.
The optimization movement's response to this problem is typically one of two moves. The first is to punt: take the objective as given by social consensus (career success, health, happiness as self-reported) and focus on the mechanisms. The second is to make the problem recursive: optimize your capacity to identify what to optimize for. Read more, journal more, meditate more, in order to clarify your values more, in order to pursue them more effectively. This move feels profound but is in fact empty: it defers the problem one level without solving it.
The Efficiency Penalty
There is a deeper problem with optimization, one that emerges not from abstract philosophy but from ordinary experience. Some things are degraded by being made more efficient. This is not a paradox. It is an observation about the relationship between the instrumental and the intrinsic dimensions of valued activities.
Consider friendship. Friendship has instrumental dimensions: friends provide social support, emotional regulation, practical help, career connections. An optimizer could, in principle, audit her social calendar and eliminate friendships that provide low returns on these metrics — the old friend who is now in a different city, works in an unrelated field, and is unavailable in a crisis. This would be, strictly speaking, more efficient. It would also be a corruption of what friendship is. Friendship is not a support-exchange system with human participants. It is a form of caring about another person for their own sake — a relationship that is partly constituted by its willingness to incur costs that exceed the instrumental returns. The efficiency penalty for friendship is not a bug. It is the definition.
The same argument applies, in different ways, to a surprising range of activities. Reading slowly, attending to sentences as sentences rather than as information-delivery vehicles, is less efficient than skimming. It also produces a different kind of understanding — one that engages the aesthetic and imaginative faculties rather than merely extracting content. The inefficiency is the point. Walking somewhere rather than driving is a less efficient mode of transportation and a more adequate mode of being in a city — of understanding the scale of streets, encountering people you did not plan to encounter, arriving somewhere in a body that has moved through space. Long cooking produces different food, better food, food that is partly constituted by the time it required.
This is not nostalgia for inefficiency as such. It is an argument that efficiency is a property with respect to an objective, and when the objective is the activity itself rather than some product the activity delivers, efficiency as a value is inapplicable. You cannot be efficiently engaged in the process of understanding your own life. You cannot efficiently fall in love. You can, technically, date with a high degree of efficiency — algorithmic matching, structured speed dates, explicit criteria, quick elimination of poor fits. What you cannot do is replace the inefficiency of actually knowing another person with any number of efficient approaches to that knowledge.
The Political Economy of Optimization
The optimization culture did not arise in a vacuum. It arose in a specific historical moment — post-1980s neoliberalism, the erosion of collective bargaining, the shift of economic risk from employers to workers — and it serves specific political interests that rarely appear in the productivity literature.
When workers are told to optimize their output, their time, their bodies, and their minds, the implicit premise is that inadequate output is a personal failure rather than a structural condition. The person who cannot get ahead despite working three jobs has not optimized efficiently enough. The graduate burdened with student debt and underemployed in her field needs better time management. This framing relocates questions of political economy — about who captures the gains from productivity growth, about the adequacy of the social insurance system, about the pricing power of employers relative to workers — into the domain of individual technique. Structural problems become optimization problems, and optimization problems have personal solutions.
Tim Ferriss and his imitators are not wrong that individuals can, at the margins, improve their circumstances through better organization of their time and energy. They are wrong that this is the primary lever available to most people, and they are profoundly evasive about the structural reasons why so many people feel so pressed for time and attention in the first place. The pressure to optimize is partly a symptom of living in an economy that has systematically shifted risk and instability downward while convincing the downward-shifted that the solution lies in their own self-management.
The movement has also colonized workplaces in ways that deserve scrutiny. The open-plan office, the productivity dashboard, the continuous performance management cycle, the hot-desking that eliminates personal space — these are presented as optimizations for collaboration and efficiency and are frequently nothing of the sort. They are optimizations for managerial surveillance, which is a different thing presented in the same vocabulary.
What Philosophy Knows That Optimization Doesn't
The philosophers of the good life — Aristotle, most centrally, but also the Stoics, the Epicureans, the whole tradition of eudaimonist ethics — were aware of the efficiency problem in a form that predates operations research by two thousand years. Aristotle's distinction between activities that are pursued for the sake of something else (poiesis, production) and activities that are pursued for their own sake (praxis, action) is precisely a distinction between the domains where efficiency is a relevant value and the domains where it is not.
When you are building a chair, efficiency matters: it is better to use fewer strokes of the plane, less wood, less time. The chair is the goal and the building is the means. But when you are living well — loving well, thinking well, participating in the life of a community — the activity is not a means to a separate goal. It is the goal. This is what Aristotle means when he says that eudaimonia, human flourishing, is not a state you arrive at by doing the right things. It is the doing of the right things, over a whole life, in the right spirit.
The optimization movement has no place for this distinction. It treats all activities as poiesis — as productions aimed at outcomes that can be measured and maximized. What gets systematically lost is exactly what Aristotle thought was central: the cultivation of activities that are worth doing for their own sake, that resist reduction to their products, that require something more like attention than like management.
To live well is not to achieve a maximum. It is to inhabit a life whose activities are genuinely your own — chosen, understood, related to each other in a way that makes sense from the inside. This project requires philosophy, not productivity software. It requires asking the questions that the optimization culture most systematically avoids: not how to do more, but what is worth doing. Not how to be more efficient, but what you would regret not having been.
The hangover from peak optimization culture will be, I suspect, the discovery that the years spent maximizing output were not the years in which a life was most fully lived. This is a hard lesson, and it arrives late. The industry that sold us the optimization will have moved on by then to the next thing. We will be left with the accounts we kept of our own time, meticulously logged, and the question of what we actually did with it.