Value Commensuration¶
Core Idea¶
The structural problem of translating heterogeneous, incommensurable values—those rooted in fundamentally different frameworks (ecological, economic, social, ethical)—into a common metric or scale to enable aggregation, comparison, and trade-off evaluation. When different stakeholders, domains, or ethical frameworks value outcomes incommensurably, commensuration bridges that incommensurability through a constructed metric, an act that Espeland and Stevens (1998) characterize as a fundamentally social process in which translation always entails loss, distortion, or contestation of meaning. [1] This act of translation always involves loss, distortion, or contestation of meaning. The choice of metric is itself a moral or value judgment, not a neutral technical operation.
How would you explain it like I'm…
Same score, different things
Putting Values on One Scale
Common metric across values
Structural Signature¶
Value commensuration encodes the pattern: incommensurable values → metric construction → aggregation → trade-off framework → stakeholder alignment or conflict. It separates stakeholders who hold genuinely different value frameworks (environmental vs. economic, individual vs. collective, present vs. future) and names the work required to impose a common language despite that difference, a structure Chang (1997) examines in her treatment of incommensurability, incomparability, and the practical reasoning required when no common metric pre-exists. [2]
Recurring features:
- Translating heterogeneous values into a common unit
- Imposing metrics on contested domains (health, environment, justice)
- Making the hidden choice of units explicit
- Whose values are lost or distorted in the metric?
- Metric construction as moral choice, not discovery
- Enabling comparison while acknowledging loss
The structural insight is robust: environmental policy (monetizing ecosystem services), healthcare (assigning monetary or QALY value to human life), organizational resource allocation (comparing R&D to operations to sales via a common budget framework), and international development (ranking SDGs via a single index) all exhibit the same commensuration-and-contestation logic, as Anderson (1993) documents across multiple value domains in her analysis of how monetary valuation systematically misrepresents goods that warrant different modes of valuation. [3] Naming this prime makes visible that frameworks are constructed, not discovered from nature.
What It Is Not¶
Value Commensuration is not the same as fairness or justice. A commensuration framework that is technically sound (internally consistent, mathematically rigorous) may produce outcomes many consider unfair. A monetary metric that values lives at $9 million per statistical life is not just or unjust by virtue of its internal consistency; fairness is a separate evaluative question. Confusing the two leads to the error of treating a well-designed metric as if it is thereby well-designed morally.
Nor is it mere measurement or quantification. Quantifying something (assigning a number to a quantity) is not the same as commensuring (translating heterogeneous values into a common metric for comparison). A temperature reading is quantification; expressing carbon, health, and economic value in a common index is commensuration. The difference is that commensuration requires a choice of metric—which is a choice of values—while quantification can be relatively neutral (temperature is temperature, measured in degrees).
It is not the inevitable consequence of having to decide. Having to choose between healthcare and environmental spending does not require commensuration; you can make the choice based on principles, stakeholder input, or political process without reducing both values to a common metric. Commensuration is one way to make trade-offs; it is not the only way, and refusing to commensure does not make the trade-off disappear—it just makes the choice implicit rather than explicit.
The prime also does not claim that commensuration frameworks are permanent or universal. A metric chosen for one context or era may become obsolete or problematic later; a metric that works in one culture may not transfer to another. The framework is constructed, contestable, and revisable. Treating a commensuration framework as if it is natural, objective, or timeless is the error that the prime seeks to prevent.
Broad Use¶
Environmental Economics: How to compare ecosystem services (pollination, flood control, carbon sequestration) to economic values (GDP, employment, profit)? Carbon pricing assigns monetary value per ton of CO₂, enabling trade-offs between emissions and economic growth, and Nordhaus (2017) develops the integrated-assessment framework (DICE) that translates climate damages into a social cost of carbon. [4] But the metric is contested: should carbon be priced at $15/ton (low-impact assumption) or $150/ton (high-risk assumption)? The choice of metric shapes which development projects are approved.
Health Economics: QALY (Quality-Adjusted Life Year) frameworks, as developed in the canonical methodological treatment by Drummond et al. (2015), attempt to commensure between different health outcomes (survival, mobility, cognition, pain) and different stakeholders' values, enabling cost-effectiveness comparison across medical interventions. A year of perfect health = 1 QALY; a year with mobility loss = 0.7 QALY. But the weights are ethically fraught: who decided that mobility loss is worth 0.3 QALY? Does this framework marginalize people with disabilities by implicitly devaluing their lived experience? [5]
Social Impact Measurement: Nonprofits and impact investors struggle to commensure between goals (lives saved, environmental restoration, educational attainment, community empowerment) to compare effectiveness across programs. Impact scores assign numerical values to heterogeneous outcomes, enabling portfolio comparison. Yet a score of "150 impact points" masks the value-choice: are the points weighted toward lives saved or toward systemic change? Who is upstream to benefit from the weighting?
Legal Damages: Courts must commensure personal injury (pain, suffering, lost opportunity, emotional distress) to monetary damages, a problem Sunstein (1994) frames as the central puzzle of incommensurability and valuation in law: the monetary assignment is not intrinsic but constructed to enable compensation and legal resolution. [6] A $5 million settlement for permanent disability is not a "discovery" of the true value of bodily integrity; it is a social/legal commensuration that attempts to acknowledge loss while making the case actionable.
International Development: Development agencies must commensure between the UN Sustainable Development Goals (poverty reduction, health, education, environmental protection, gender equality, peace) to allocate limited resources. No single objective function exists; commensuration imposes one. The World Bank uses metrics like "DALYs averted per dollar" to compare health vs. educational interventions, but the choice of DALY (a health metric) already skews the comparison toward health-domain outcomes.
Product and Service Pricing: A company must commensure customer value from different attributes (speed, reliability, aesthetics, cost, sustainability) to set price and design strategy. This commensuration is often implicit, embedded in feature selection and trade-off decisions, but Keeney and Raiffa (1976) supply the canonical multi-attribute utility framework for making such trade-offs explicit through additive or multiplicative value functions over heterogeneous attributes. [7] But it is always a value judgment: does the design prioritize speed or sustainability? The metric choice determines the product.
Clarity¶
A core function of naming this prime is to make visible that trade-off frameworks are constructed, not discovered. When a health economist assigns a monetary value to a statistical life (often ~$9 million in US policy, as derived from the meta-analysis of labor-market wage-risk tradeoffs in Viscusi and Aldy (2003)), she is not measuring a pre-existing quantity; she is imposing a commensuration to enable comparison and decision-making. [8] This clarity shifts discussion from "What is the correct QALY value for mobility loss?" (a question that presumes objectivity) to "What commensuration framework serves our purposes, and what values are being privileged or erased by this choice?" It enables practitioners to ask: Whose values are included? What is lost in translation? What alternatives exist?
This reframing also surfaces the moral dimension of metric choice. In monetary commensuration (valuing lives, nature, future welfare in dollars), the metric encodes assumptions: that all value is fungible, that trade-offs are legitimate, that economic growth is commensurable with sustainability. These are contestable assumptions, not mathematical facts.
Manages Complexity¶
Incommensurable values create decision paralysis: if we cannot compare lives saved to ecosystems preserved, how do we choose between a healthcare intervention and a conservation project? Commensuration resolves paralysis by imposing a common metric, binding diverse stakeholders into a single decision framework, though Tetlock (2003) shows experimentally that when sacred or protected values are forced into monetary trade-offs, decision-makers exhibit moral outrage and refusal because the act of commensuration itself violates the value's protected status. [9] This reduces complexity at a cost: the imposed framework may distort or misrepresent the values being commensured, and it may exclude or marginalize stakeholders whose values do not map cleanly onto the chosen metric.
The tension is productive: commensuration enables decisions that would otherwise stall, but the decision necessarily privileges some values over others. Recognizing this allows organizations to be reflective about that privilege: Is the chosen metric defensible? Are there stakeholders whose values are being systematically erased? What would change if we chose a different metric?
Abstract Reasoning¶
Recognition of value commensuration as a structural prime enables reasoning about the choice and consequences of metrics across domains. Different commensuration frameworks (money, utility, welfare, QALYs, impact points, composite indices) produce different rank-orderings of options and different implied priorities, a result formalized by Arrow's (1951) impossibility theorem, which proved that no aggregation rule over heterogeneous individual preferences can simultaneously satisfy a small set of seemingly innocuous criteria—so the choice of aggregation metric inevitably privileges some values over others. [10] This insight transfers across domains: healthcare policy, environmental policy, organizational strategy, and international development all face value commensuration problems, and the structural solutions (unit-valuation frameworks, weighting schemes, multi-criteria decision methods) transfer.
A healthcare official facing a budget-allocation problem can learn from environmental economics' experience with monetizing ecosystem services: what tools exist for making metrics explicit? What have been the unintended consequences? An international development organization can learn from corporate strategy's use of balanced scorecards: what happens when you move from a single metric (ROI) to multiple metrics (financial, customer, internal-process, learning & growth)? Does the complexity become more honest or just more opaque?
Knowledge Transfer¶
Insight from environmental economics (where monetization of ecosystem services is historically contested and remains so, as illustrated by Costanza et al.'s (1997) controversial estimate that the world's ecosystem services were worth roughly US$33 trillion per year, sparking sustained debate over whether monetary commensuration is appropriate for ecological goods) transfers to healthcare (where the monetary value of health is debated and varies by country) and to organizational resource allocation (where value from different functions—R&D, sales, operations, community relations—is heterogeneous and must be commensured to allocate budget). [11] Each domain shows that incommensurable values require constructed commensuration frameworks, and each domain teaches lessons about what is lost or preserved in the choice of metric.
Environmental economics teaches that once a metric is adopted (carbon pricing, ecosystem service valuation), it shapes behavior in unforeseen ways: it can mask ecosystem collapse by converting it to monetary terms; it can enable offsetting and double-counting; it can privilege those with power to shape the valuation. Healthcare teaches that even finely calibrated metrics (QALYs) encode contestable value judgments: the weights for disability, the discount rate for future health, the threshold for cost-effectiveness. Organizational experience teaches that stakeholder alignment on metrics is fragile: what counts as "impact" for the CEO may not be visible to frontline workers, and the metric can become a tool of management control rather than genuine decision-making.
Examples¶
Formal/abstract¶
Environmental Economics — Carbon Pricing: The EU Emissions Trading System (ETS) commensures CO₂ emissions to monetary value. Currently, the carbon price fluctuates between €50–90/ton. This metric enables comparison: a coal plant's emissions can now be priced against the cost of renewable alternatives. But the metric is contestable at every point: Is €70/ton the "right" price, or is it too low (undervaluing climate risk) or too high (undermining competitiveness)? The metric choice shapes which projects are economically viable and which are not. If the price were €200/ton, coal would be uncompetitive immediately; at €50/ton, coal remains viable. The metric is not discovered from nature; it is set by political choice and scientific modeling of climate damage.
Healthcare — QALY Allocation: The UK's National Institute for Health and Care Excellence (NICE) uses a threshold of £20,000–30,000 per QALY to decide which drugs to fund. A drug that costs £100,000 and extends life by 2 QALYs costs £50,000 per QALY and is rejected. One that costs £50,000 and extends life by 3 QALYs costs £16,667 per QALY and is approved. But the QALY itself is constructed: NICE uses health utility weights (EQ-5D, SF-6D) that assign lower utility to disabilities, older age, and certain conditions. Disability advocates argue that this framework systematically devalues the lived experience of people with disabilities, and they are right—the metric encodes a value judgment that non-disabled life is worth more QALYs. The framework is internally consistent and enables decisions, but it is also a form of hidden moral bias.
Applied/industry¶
International Development — SDG Weighting: The UN's Human Development Index (HDI) commensures life expectancy, education, and income into a single number (0–1). Each is normalized and equally weighted. But this weighting is contestable: should income be weighted equally with education, or less? Should environmental sustainability be weighted at all (it is not in HDI)? If you change the weights, you change which countries are ranked as "developed" and which are not, which shapes international aid flows, brain-drain migration, and policy priorities. The metric shapes global inequality.
Organizational Resource Allocation: A manufacturing company must allocate a $10M budget across R&D (long-term innovation, uncertain payoff), operations (cost reduction, reliable return), and community relations (brand, risk mitigation, unclear ROI). Finance typically commensures all three to "net present value" or "return on investment"—but community relations does not map neatly onto NPV. So it gets underweighted or overlooked. A more honest commensuration framework (balanced scorecard) might weight innovation capability, cost efficiency, and social license equally, making the trade-off explicit: to gain $1M in operational savings, are we willing to risk brand reputation and community support? The answer depends on the weighting, which is not technical but strategic.
Structural Tensions¶
T1: The metric enables decisions but distorts the values being measured. Value commensuration solves decision paralysis by imposing a common scale, but the scale is always a simplification. Monetizing a species' extinction to its ecosystem service value (pollination, carbon sequestration) enables cost-benefit comparison, but it misses the intrinsic value of the species or the possibility that its ecological role is not yet fully understood. A QALY enables health prioritization but undervalues quality of life for people with disabilities, chronic conditions, or non-Western values around health. The metric permits action but at the cost of misrepresenting what is being measured. This creates a perpetual tension: commensuration is necessary but always inadequate.
T2: The metric appears technical but embeds moral choice. A metric (€/ton CO₂, $/QALY, points/impact outcome) can be presented as a technical calculation—derived from climate models, econometric studies, randomized trials—yet the choice of metric itself is a moral choice. Should we value a ton of CO₂ abated in 2026 the same as in 2050 (no discounting) or less (temporal discounting)? Should a QALY gained for a 90-year-old count equally with a QALY for a 30-year-old (age-weighting)? These are not factual questions; they are value questions. Yet the metric's technical appearance can obscure the moral choice, making it seem like the metric is "objective" when it is really "encoded choice." This enables decision-making without transparency about whose values are privileged.
T3: Commensuration enables scaling but risks homogenizing difference. A single metric (money, QALYs, impact points) allows comparison and aggregation across domains and stakeholders. This enables resource allocation at scale: a global development agency can compare health interventions in Kenya with education interventions in Bangladesh using a common metric. But the metric erases the particular context, local value systems, and stakeholder knowledge embedded in each domain. A monetary valuation of African water resources erases Indigenous water-use practices and spiritual relationships with water; a global impact metric erases the priorities of local communities. Commensuration enables global coordination but at risk of cultural or epistemic homogenization.
T4: Stakeholders may agree on a metric while disagreeing on the values underlying it. A hospital's triage protocol commensures lives, mobility, age, and likelihood of benefit into a numerical scoring system. But the protocol does not resolve the underlying value disagreement: should age be weighted? Should likelihood of benefit be the only criterion, or should we also consider who has been historically excluded from care? Different stakeholders may accept the protocol while disagreeing on the moral reasoning. This can create a false sense of consensus—the metric becomes accepted while the underlying moral disagreement persists and resurfaces at the next crisis.
T5: The metric can be gamed or weaponized by those with power to define it. Whoever controls the metric definition has power to shape outcomes. A carbon metric that counts only direct emissions (Scope 1) ignores supply-chain emissions (Scope 3), benefiting companies with outsourced manufacturing. An impact metric that counts "beneficiaries reached" ignores beneficiary agency or outcome quality. A research metric that counts publications ignores qualitative scholarship or applied impact. Power to define the metric is power to define what counts, who benefits, and who is invisible. Marginalized stakeholders often lack the power to shape the metric, leading to systematic underrepresentation of their values.
T6: High-stakes moral domains resist commensuration yet require it for scale. Some value domains—human rights, human dignity, ecological integrity, cultural heritage—resist reduction to a metric on principle. "You cannot put a price on a life" or "The Amazon is not a resource to be valued in monetary terms" express a moral intuition that commensuration is inappropriate, that it violates the domain's inherent worth. Yet at the same time, resource scarcity means we must make trade-offs: which ecosystem should be protected, which human rights claim should be prioritized? Refusing to commensure does not make the trade-off disappear; it just makes it implicit and invisible. This creates a deep tension: acknowledging that commensuration is necessary while maintaining that it is morally hazardous. The only resolution is to commensure transparently, with explicit acknowledgment of what is being lost in translation.
Structural–Framed Character¶
Value Commensuration sits at the framed end of the structural–framed spectrum: its meaning is inseparable from an interpretive frame it carries from environmental economics. It is not a bare pattern you simply spot in a system — it brings a whole vocabulary and set of assumptions with it.
Wherever it is used — weighing ecological against economic outcomes, comparing across ethical frameworks, or aligning stakeholders in a policy decision — it carries its home language of incommensurable values, constructed metrics, and trade-off frameworks, and that language travels with it. It is laden with normative stakes: the very act of forcing genuinely different kinds of worth onto one scale is contestable, and the prime foregrounds who wins and who loses in that translation. Its origin is institutional, rooted in how societies and disciplines argue over valuation, not in any purely formal structure. It cannot be stated without reference to human values, stakeholders, and ethical frameworks. To apply it is to take up a whole perspective on how worth should be compared, not merely to notice a pattern already sitting in the data. On every diagnostic, it reads framed.
Substrate Independence¶
Value Commensuration is a narrowly substrate-independent prime — composite 2 / 5 on the substrate-independence scale. The pattern of translating heterogeneous values into a common metric does recur across environmental and health economics, social-impact measurement, and organizational triage. But the signature is framed in economics-and-policy vocabulary, and it is intrinsically tied to human value judgment under incommensurability — something physical, biological, computational, and formal substrates simply do not require. Its breadth is bounded to human decision-making contexts, so the prime stays tethered to the meaning-laden substrates it came from.
- Composite substrate independence — 2 / 5
- Domain breadth — 3 / 5
- Structural abstraction — 2 / 5
- Transfer evidence — 2 / 5
Relationships to Other Primes¶
Parents (3) — more general patterns this builds on
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Value Commensuration presupposes Comparison
Value commensuration presupposes comparison because its entire purpose is to translate heterogeneous values from different frameworks into a common metric so that comparison becomes possible. Comparison supplies the general operation of placing items under a shared frame with an alignment rule; commensuration is the specific upstream construction work that builds that shared frame where none exists naturally between, say, ecological and monetary values. Without comparison as the target operation, the work of commensuration would have no purpose; commensuration exists precisely to enable comparison across frameworks that resist it.
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Value Commensuration presupposes Translation and Conceptual Bridging
Value commensuration presupposes translation and conceptual bridging because constructing a common metric across heterogeneous value frameworks — ecological, economic, social, ethical — is an instance of mapping between incommensurable conceptual systems and managing the inevitable loss of meaning that mapping entails. Translation supplies the general structural process of converting representations across frameworks with attention to where translation distorts or omits; commensuration supplies the specific case where the source frameworks are value systems and the target is a single aggregable scale, with the same characteristic loss, distortion, and contestation that all cross-framework translation incurs.
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Value Commensuration is a decomposition of Commensurability
Commensurability is the structural property that lets diverse quantities be expressed in a common unit, enabling comparison, ranking, and trade-off. Value commensuration is the particular shape this property takes when the quantities are heterogeneous values rooted in different ethical, ecological, or social frameworks. It is a structurally-particularized instance of common-metric construction in which the translation is contested, involves loss of meaning, and is itself a moral choice rather than a neutral technical operation. The specific machinery is the constructed metric and its acknowledged distortions.
Children (1) — more specific cases that build on this
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Cost–Benefit Analysis is a decomposition of Value Commensuration
Cost-benefit analysis is the specific shape value commensuration takes when the common scale is monetary and the aggregation rule is net present value across all significant consequences. Value commensuration's general anatomy — translating heterogeneous values from different frameworks into a single comparable metric, with characteristic loss and contestation — is structurally particularized into willingness-to-pay valuations, monetized externalities, discounted future flows, and a single net-benefit verdict. The general translation-into-common-metric operation is preserved; the specific shape is its monetized, decision-analytic realization for policy and project evaluation.
Path to root: Value Commensuration → Comparison
Neighborhood in Abstraction Space¶
Value Commensuration sits among the more crowded primes in the catalog (25th percentile for distinctiveness): several abstractions describe nearly the same structure, so a description that fits it will tend to fit its neighbors too — transporting it usually means disambiguating within this family rather than landing on it exactly.
Family — Preferences, Trade-offs & Commensuration (9 primes)
Nearest neighbors
- Commensurability — 0.88
- Boundary Critique — 0.82
- Preference Heterogeneity and Conflict — 0.81
- Cultural Friction — 0.80
- Decision — 0.80
Computed from structural-signature embeddings · 2026-05-29
Not to Be Confused With¶
Value Commensuration is not Commensurability. Commensurability (the general structural prime) describes the ability to measure or compare quantities using a common standard—it applies to any domain where heterogeneity requires reduction to a common metric. Value commensuration is the specific application to value, moral, and ethical domains where the metric is historically contested, the stakes are high, and no natural or objectively "true" metric exists, a distinction Raz (1986) develops in his treatment of the incommensurability of values, where some goods (friendship, justice, certain liberties) resist reduction to any common scale on principle. Commensurability asks "Can we compare these?" Value commensuration asks "Who decided on the metric, and at what cost?" and "What moral framework does this metric encode?" [12] The broader prime is neutral about substrate (physical quantities, social units, temporal scales can all be commensured); value commensuration is necessarily reflective and political because the domains themselves are contested.
Value Commensuration is not Aggregation. Aggregation is the mechanical operation of combining multiple data points into a summary (averaging, summing, pooling). Value commensuration is the antecedent work of making aggregation possible by establishing a common scale. Aggregation assumes the units are already commensured; value commensuration constructs those units. You cannot aggregate health, environmental, and economic value until you have decided on a metric for each—and that decision is value commensuration.
Value Commensuration is not Cost-Benefit Analysis. Cost-benefit analysis (CBA) is a specific decision method that uses monetary valuation to compare outcomes. CBA is one instance of value commensuration—it chooses money as the metric—but not the only one. A hospital might commensure competing triage values using QALYs (quality-adjusted life-years) rather than money. An environmental regulator might commensure carbon, biodiversity, and economic growth using an index rather than dollars. CBA uses monetary commensuration; value commensuration is the broader structural challenge that CBA addresses via one metric choice among many, as Adler (2012) develops in his systematic comparison of monetary CBA against alternative welfarist frameworks (extended preferences, capability approaches, social welfare functions) for normative policy analysis. [13]
Value Commensuration is not Fairness or Justice. Fairness concerns the just distribution of goods, opportunity, or burden—who gets what. Value commensuration concerns how we measure or compare heterogeneous values to enable decisions. They interact deeply: commensuration choices affect fairness perceptions (assigning a monetary value to a life can feel like commodification, which triggers fairness concerns), but they are distinct structural problems. A commensuration framework can be internally consistent while producing outcomes many consider unfair.
Solution Archetypes¶
Solution archetypes in the catalog that build on this prime — directly (this prime is a source ingredient) or as a related prime.
Built directly on this prime (1)
Also a related prime in 4 archetypes
- Effect Size Standardization
- Inflation, Currency, and Real versus Nominal Adjustment
- Temporal Discounting and Present-Value Framework Selection
- Versioning and Quality Discrimination
Notes¶
Value commensuration operates across multiple scales: individual decision-making (comparing career options via job criteria), organizational strategy (comparing business units via financial and strategic metrics), policy (comparing health, environmental, and economic outcomes via a national index), and international development (comparing countries via composite development indices). At each scale, the structure is similar but the stakes differ dramatically. A person comparing two job offers via salary, benefits, location, and work-life balance is doing informal value commensuration with personal consequences; an international organization comparing countries via the Human Development Index is doing it at scale with direct consequences for international aid flows, brain-drain migration, and policy priorities. The scaling up of commensuration magnifies both its power (enabling global coordination) and its risks (embedding value choices at the highest level of governance).
The concept carries implicit assumptions: that commensuration is legitimate (that trade-offs can be made and are not morally forbidden), that the metric is reasonably objective or at least defensible (that reasonable experts would agree on it or at least find it acceptable), and that the decision-maker is benevolent (or at least accountable to stakeholders). When these assumptions fail—when commensuration is seen as violating moral principle, when experts disagree sharply about the metric, when the decision-maker lacks legitimacy or accountability—commensuration frameworks fail or generate backlash. Indigenous communities rejecting market valuation of ecosystems, disability advocates rejecting QALYs, or Global South nations rejecting carbon offsets all reflect breakdown in the assumption that commensuration is acceptable or legitimate. In these cases, the technical operation (translating values to a metric) collides with the moral operation (asserting that the translation preserves meaning or is justified).
A critical insight is that refusing to commensure does not eliminate the trade-off problem; it just makes it invisible or implicit. An organization that refuses to create a budget-allocation metric (e.g., by allocating based on political power or status quo inertia) is still making trade-offs; they are just not accounting for them transparently. A policy maker who refuses to monetize ecosystem services for cost-benefit analysis is still implicitly choosing not to protect those services (or to protect them at lower priority). The tension between commensuration and moral principle is real and productive, but it cannot be resolved by refusing to decide. The resolution lies in making commensuration transparent, contestable, and revisable.
References¶
[1] Espeland, W. N., & Stevens, M. L. (1998). Commensuration as a social process. Annual Review of Sociology, 24, 313–343. Foundational sociological treatment defining commensuration as the transformation of qualities into quantities sharing a common metric, and analyzing how this translation reorganizes attention, distorts meaning, and concentrates power over what counts. ↩
[2] Chang, R. (Ed.). (1997). Incommensurability, Incomparability, and Practical Reason. Harvard University Press. Foundational philosophical anthology distinguishing incommensurability (no common cardinal scale) from incomparability and developing the practical-reasoning frameworks needed when no shared metric pre-exists. ↩
[3] Anderson, E. (1993). Value in Ethics and Economics. Harvard University Press. Pluralist analysis of valuation across ethical, economic, environmental, and personal domains; argues that monetary commensuration systematically misrepresents goods (friendship, citizenship, environmental integrity) that warrant non-market modes of valuation. ↩
[4] Nordhaus, W. D. (2017). Revisiting the social cost of carbon. Proceedings of the National Academy of Sciences, 114(7), 1518–1523. Updated DICE-2016R model estimating the social cost of carbon at approximately US$31 per ton CO2 (2010 dollars, 2015 base), operationalizing the commensuration of climate damages and economic output through monetary pricing. ↩
[5] Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the Economic Evaluation of Health Care Programmes (4th ed.). Oxford University Press. Standard health-economics textbook: catalogues cost-benefit analysis (dollars), cost-effectiveness analysis (cost per outcome), cost-utility analysis (QALYs/DALYs), and multi-criteria methods as alternative commensuration schemes. ↩
[6] Sunstein, C. R. (1994). Incommensurability and valuation in law. Michigan Law Review, 92(4), 779–861. Argues that human goods are plural and not commensurable on a single metric, and analyzes how legal valuation (damages, regulation, cost-benefit analysis) must reckon with constructed metrics that erase qualitative distinctions among kinds of value. ↩
[7] Keeney, R. L., & Raiffa, H. (1976). Decisions with Multiple Objectives: Preferences and Value Tradeoffs. Wiley. Canonical multi-attribute utility theory (MAUT) text: develops additive and multiplicative value functions over heterogeneous attributes (cost, performance, aesthetics, safety) to make implicit trade-offs explicit and tractable. ↩
[8] Viscusi, W. K., & Aldy, J. E. (2003). The value of a statistical life: A critical review of market estimates throughout the world. Journal of Risk and Uncertainty, 27(1), 5–76. Meta-analysis of >60 labor-market wage-risk studies yielding the ~$7–9 million per statistical life figure used in U.S. regulatory cost-benefit analysis; canonical reference for monetary commensuration of mortality risk. ↩
[9] Tetlock, P. E. (2003). Thinking the unthinkable: Sacred values and taboo cognitions. Trends in Cognitive Sciences, 7(7), 320–324. Experimental moral psychology of sacred values: people treat them as removed from comparison so that pricing them registers as a category-error, react to proposed trade-offs against secular goods with moral outrage and "moral cleansing," and the same set-apart structure recurs in secular as well as religious settings; identifying a sacred value forecasts this resistance and the rituals of insulation and cleansing that surround it. ↩
[10] Arrow, K. J. (1951). Social Choice and Individual Values. Wiley. Foundational social-choice text containing the impossibility theorem: no aggregation rule over heterogeneous individual preferences can simultaneously satisfy unrestricted domain, Pareto efficiency, independence of irrelevant alternatives, and non-dictatorship—so any commensuration metric inevitably privileges some values over others. ↩
[11] Costanza, R., d'Arge, R., de Groot, R., Farber, S., Grasso, M., Hannon, B., Limburg, K., Naeem, S., O'Neill, R. V., Paruelo, J., Raskin, R. G., Sutton, P., & van den Belt, M. (1997). The value of the world's ecosystem services and natural capital. Nature, 387(6630), 253–260. Influential and controversial estimate that the world's ecosystem services were worth ~US$33 trillion per year; sparked sustained debate over whether monetary commensuration is appropriate for ecological goods. ↩
[12] Raz, J. (1986). The Morality of Freedom. Oxford University Press. Develops the service conception of authority: legitimate directives function as exclusionary reasons that pre-empt the subject's own balance of reasons, distinguishing binding authoritative power from non-binding influence and persuasion. ↩
[13] Adler, M. D. (2012). Well-Being and Fair Distribution: Beyond Cost-Benefit Analysis. Oxford University Press. Systematic comparison of monetary cost-benefit analysis against alternative welfarist frameworks (extended preferences, capability approaches, prioritarian social welfare functions); positions CBA as one instance of value commensuration among several. ↩
[14] Stern, N. (2007). The Economics of Climate Change: The Stern Review. Cambridge University Press. UK government-commissioned review whose adoption of a near-zero pure rate of time preference and explicit treatment of catastrophic risk produces substantially higher carbon prices than conventional analyses, illustrating how discount rate and risk assumptions encode contestable value judgments. ↩
[15] Emanuel, E. J., Persad, G., Upshur, R., Thome, B., Parker, M., Glickman, A., Zhang, C., Boyle, C., Smith, M., & Phillips, J. P. (2020). Fair allocation of scarce medical resources in the time of Covid-19. New England Journal of Medicine, 382(21), 2049–2055. Articulates four ethical values (maximize benefits, treat people equally, promote and reward instrumental value, give priority to the worst off) and six recommendations for commensuring competing patient claims in pandemic triage; canonical reference for the embedded value choices in medical-resource allocation protocols. ↩
[16] (definition not found) ↩