Economics, Biology, and the Limits of Physics:Rethinking Method, Ethics, and the Nature of Economic Life

Introduction

Modern economics defined itself, particularly after the marginal revolution, as a value-neutral, positive science modeled on physics. Equilibrium, optimization, and productivity became its organizing principles. This methodological choice delivered analytical clarity and mathematical tractability, but it did so by abstracting from historical irreversibility, institutional change, and ecological limits. As a result, economics became increasingly incapable of addressing questions of justice, sustainability, and long-term human well-being, precisely at the moment when industrial capitalism began to test planetary boundaries.

The central problem is a mismatch between method and object. Economic systems are open, evolutionary, historically contingent, and institutionally embedded. They do not behave like closed systems governed by invariant laws and reversible dynamics. Yet modern economics, especially after the marginal revolution, elevated equilibrium and optimization into foundational concepts, and treated departures from them as anomalies.

This methodological shift was questioned early on. Marshall explicitly argued for “economic biology” rather than mechanical analogy, and Veblen criticized orthodox economics for refusing an evolutionary approach. The discipline nonetheless consolidated around equilibrium-centered formalism, increasingly insulating its core framework from ecological limits, institutional fragility, and ethical scrutiny.

The argument develops by first examining the nature of the object economics seeks to explain, and then assessing the suitability of the methodological frameworks it has inherited. It shows why physics-based equilibrium reasoning fails to capture the dynamics of economic life, and why an evolutionary, biology-informed mode of explanation offers a closer fit. It then addresses the ethical risks of biological reasoning, before situating economics within the broader history of the social sciences’ relationship to the positive sciences. The analysis concludes by showing why methodological choices inevitably carry ethical and institutional consequences.

The emphasis on classical and neoclassical economists in this article is deliberate and substantive. The argument advanced here is not that economics ignored methodological alternatives because they were absent, but that leading figures within the mainstream explicitly recognized the limits of mechanical, equilibrium-based reasoning while continuing to employ it for analytical convenience. Marshall, Veblen, Schumpeter, and Georgescu-Roegen each acknowledged, often in unambiguous terms, that the dominant methods of economics were ill-suited to the evolutionary, historical, and open-ended nature of economic life. Their statements demonstrate that the methodological inadequacy of physics-inspired economics was not a later heterodox discovery, but an insight present at the discipline’s core and consciously set aside as equilibrium modeling became institutionalized.

Marshall’s preference for biological over mechanical analogy was already visible in the late nineteenth century, but it was only in his later reflections that he expressed the point with full clarity. In the 8th edition of Principles of Economics, he famously remarked that “the Mecca of the economist lies in economic biology rather than in economic dynamics,” acknowledging that mechanical methods had been retained largely for analytical convenience rather than ontological fidelity.

Marshall, A. (1920 [1890]). Principles of Economics, 8th Edition, Appendix C. London: Macmillan. https://www.econlib.org/library/Marshall/marP.html 

The consolidation of this methodological choice was not driven solely by theoretical conviction. Equilibrium-based models offered formal tractability, pedagogical clarity, and compatibility with the rising prestige of mathematical proof in the late nineteenth and early twentieth centuries. These features made them institutionally attractive within universities and policy circles, even as their leading practitioners openly acknowledged their limited ontological adequacy. What was gained in analytical elegance was knowingly purchased at the expense of historical realism and ecological awareness.

The Nature of the Object Under Study in Economics

The object of economic analysis is a system of social provisioning through which societies organize production, distribution, exchange, and reproduction. Such systems are not self-contained mechanisms. They are embedded in political authority, legal structures, cultural norms, and ecological constraints, all of which shape economic behavior in non-trivial ways. Treating these dimensions as analytically secondary is therefore not a neutral simplification, but a substantive claim about the nature of economic reality, one that carries methodological and ethical consequences.

1. Open Systems

First, economic systems are open systems. Economic activity continuously interacts with politics, culture, technology, and the natural environment. Energy use, resource extraction, emissions, public health, and institutional stability shape economic outcomes in ways that cannot be treated as exogenous without distortion. The climate crisis provides a clear illustration. Greenhouse gas emissions generated by production and consumption feed back into economic systems through extreme weather, supply-chain disruptions, insurance losses, and forced migration. Treating such interactions as “externalities” is therefore a modeling convenience rather than an ontological truth.

This distinction contrasts sharply with the methodological assumptions of physics and biology. Classical mechanics typically analyzes closed systems—such as idealized pendulums or planetary motion—by excluding external forces in order to preserve analytical tractability. When external influences are introduced, they are treated as disturbances rather than constitutive elements of the system.

Biology proceeds in the opposite direction. Living systems are defined by continuous exchange with their environments: energy intake, waste output, and metabolic processes are integral to survival. Ecosystem collapse, for example, is not the result of exogenous shocks acting on an otherwise stable core, but of internal dynamics inseparable from environmental feedback.

2. Historical Irreversibility

Second, economic systems are historically irreversible. Institutions, technologies, and distributions evolve in path-dependent ways. Financial crises permanently alter regulatory regimes, balance sheets, and social trust, while ecological degradation can eliminate future options altogether. The global financial crisis of 2008, for example, reshaped monetary policy frameworks, debt dynamics, and political alignments in ways that cannot be reversed by a return to pre-crisis conditions. Similarly, biodiversity loss and climate tipping points impose constraints that no future market adjustment can undo.

This temporal structure again separates physics from biology in ways that matter for economics. At the fundamental level, most physical laws are time-reversible: the equations governing motion or energy conservation operate identically whether time runs forward or backward. Irreversibility enters physics only in a statistical sense, not as a constitutive feature of individual interactions.

Biological systems, by contrast, are irreversibly historical. Evolutionary pathways cannot be retraced, extinct species do not reappear, and developmental processes permanently constrain future possibilities. In biology, history is not an incidental complication but a defining property of the system itself.

3. Adaptation and Endogenous Change

Third, economic systems are adaptive. Economic agents learn, expectations change, institutions evolve, and rules are rewritten in response to shocks. Preferences, technologies, and constraints are not fixed parameters but endogenous outcomes of historical processes. Industrial policy regimes, welfare states, and financial architectures differ across countries precisely because they emerged from distinct adaptive trajectories rather than optimization under identical conditions. As Marshall emphasized, long-period economic change is driven by organic growth and institutional evolution rather than mechanical adjustment.

Marshall, A. (1920 [1890]). Principles of Economics, 8th Edition, Appendix C. London: Macmillan.

Here again the contrast between physics and biology is decisive. Physical systems do not adapt: molecules do not modify their behavior in response to past interactions, nor do physical systems revise the laws that govern them. Change unfolds within fixed rules.

Biological systems, by contrast, are defined by adaptation. Organisms adjust behaviorally and physiologically, populations evolve over time, and adaptive responses reshape the constraints under which future change occurs. This endogenous transformation of constraints mirrors the dynamics of economic institutions and technologies, where learning, policy revision, and innovation alter the very environment in which subsequent decisions are made.

4. Constitutive Heterogeneity

Fourth, economic systems are heterogeneous by nature. Differences across firms, workers, regions, and institutional settings are not statistical noise but central drivers of economic dynamics. Innovation, productivity growth, and structural transformation depend on diversity in organizational forms, technological capabilities, and social arrangements. Schumpeter’s analysis of capitalism as a process of creative destruction rests precisely on the persistence of heterogeneity and the uneven diffusion of innovation across sectors and firms.

The treatment of heterogeneity further exposes the methodological divide. Physics commonly achieves explanatory power by suppressing variation through idealization: representative particles, frictionless planes, and ideal gases are analytical devices designed to eliminate heterogeneity.

Biology proceeds in the opposite manner. Variation is foundational rather than residual. Without genetic and phenotypic diversity, evolutionary processes cannot operate, and systems lose adaptive capacity. When diversity is reduced, biological systems become fragile and prone to collapse. Economic systems display an analogous vulnerability, as excessive concentration, standardization, and institutional uniformity undermine resilience and magnify systemic risk.

At this point, the argument crosses a threshold: once economic systems are recognized as open, historical, adaptive, and heterogeneous, normativity is no longer an external philosophical concern but an internal property of the system itself.

5. Normative Embeddedness

Finally, economic systems are normatively charged. Distribution, power, and social cohesion are intrinsic to economic outcomes, not optional ethical add-ons. Wage structures, access to housing, healthcare provision, and exposure to environmental risk are shaped by institutional choices and political power, not merely by market exchange. Economic arrangements therefore carry implicit judgments about fairness, responsibility, and social obligation, whether acknowledged or not.

Normativity marks the final and most consequential divide. Physics is normatively silent by construction: physical processes do not raise questions of justice, legitimacy, or responsibility. There is no moral dimension to gravitational attraction or thermodynamic equilibrium.

Biology, while descriptively neutral, becomes normatively dangerous when misinterpreted. Biological explanations of survival, variation, and adaptation have historically been misused to naturalize hierarchy and exclusion. This risk does not invalidate biological reasoning, but it makes ethical filtering indispensable. Economic systems are unavoidably normative in this sense. Distribution, power, and social cohesion are intrinsic to economic outcomes, not external considerations. Any methodology that ignores this fact does not achieve neutrality; it merely obscures the ethical content embedded in economic arrangements.

Synthesis

Taken together, these contrasts establish the ontological profile of economic systems and clarify why methodological choice matters. The question is no longer whether physics-based equilibrium reasoning is elegant or tractable, but whether it is appropriate to an open, historical, adaptive, and normatively charged reality.

Biology does not serve here as a metaphor or a substitute discipline, but as an indication of the kind of reasoning required when systems evolve, accumulate constraints, and remain vulnerable to collapse. With this ontological groundwork in place, the limitations of physics-based methodology can now be examined directly.

If the object is open, historical, adaptive, and normatively charged, then a methodology built around closure, reversibility, and equilibrium cannot be merely incomplete. It becomes misleading.

Why Physics Is Not a Good Methodological Fit

The tension between mechanical equilibrium and evolutionary explanation was already explicit at the end of the nineteenth century. Veblen argued that “the received theory of economics is not evolutionary science” precisely because it relies on teleological reasoning rather than cumulative causation. Equilibrium, in this view, functions not as an empirical descriptor but as a justificatory endpoint.

The appeal of physics as a methodological model for economics rested on its formal precision, predictive ambition, and apparent value neutrality. Yet these virtues are inseparable from a specific ontological domain. Physics is designed to explain systems governed by invariant laws, reversible dynamics, and non-intentional objects. Even where modern physics engages complexity or non-equilibrium phenomena, it does so without reference to learning, institutional change, or normative conflict. When such a framework is transposed onto economic life, it does not merely simplify reality. It redefines what counts as relevant explanation.

Léon Walras provided the most explicit articulation of this mechanical ambition. His general equilibrium system was conceived as a simultaneous solution of interdependent markets, formally analogous to a system of equations in classical mechanics. In Walras’s framework, equilibrium was not merely a local analytical device but the defining state toward which the economic system was assumed to gravitate under ideal conditions. This construction achieved mathematical closure at the cost of historical time, institutional specificity, and endogenous change—features that Walras treated as secondary complications rather than constitutive properties of economic life.

First, equilibrium in physics refers to states toward which systems empirically converge when constraints are stable and external disturbances are absent. In thermodynamics or classical mechanics, equilibrium is not an assumption but an observed property of the system under specified conditions. In economics, however, equilibrium was elevated from a local analytical device to a general organizing principle. Persistent unemployment, recurrent financial crises, and ecological overshoot are therefore treated as temporary deviations rather than as structural features of capitalist economies. As Thorstein Veblen argued, this move introduces a teleological bias: outcomes are implicitly justified by reference to efficiency rather than explained as historically produced and institutionally constrained processes. Equilibrium thus operates less as an empirical description than as a normative benchmark that disciplines analysis by defining instability as anomaly rather than condition.

Second, physics treats time symmetrically at the level of its fundamental laws. The equations governing motion or energy conservation remain valid whether time runs forward or backward; irreversibility enters only statistically, not as an ontological property of the underlying processes. Economic systems cannot be analyzed under this assumption. Investment decisions, technological lock-ins, institutional reforms, and environmental degradation irreversibly constrain future possibilities, shaping economic trajectories in ways that cannot be undone by subsequent price adjustments. Climate change makes this temporal asymmetry unavoidable: accumulated emissions alter atmospheric composition and ecological conditions in ways that permanently narrow future choice sets. As Nicholas Georgescu-Roegen argued, economic processes are entropic and historically irreversible, rendering equilibrium-based and time-reversible models systematically misleading when applied to long-run economic and ecological dynamics.

Third, physics abstracts from values, power, and institutions by design, and this abstraction is entirely appropriate within its proper domain. Physical laws do not depend on legal authority, social legitimacy, or political power. Economics cannot replicate this abstraction without committing an ontological error. Property rights, monetary regimes, legal systems, and political authority are not background conditions that merely modify economic outcomes; they actively constitute economic behavior itself. Prices, incentives, and distributions are shaped by institutional arrangements that cannot be reduced to parameter values without loss of explanatory content. As Karl Polanyi demonstrated, the construction of ostensibly self-regulating markets required sustained political intervention and social reorganization, underscoring that markets are always embedded in institutional and normative orders rather than operating independently of them.

Fourth, physics presumes non-intentional objects governed by fixed laws. Particles do not interpret rules, revise expectations, or alter behavior in response to anticipated futures. Economic agents do all three. Learning, imitation, strategic interaction, and expectation formation are not secondary complications but central drivers of economic dynamics. Treating such behavior as analogous to particle motion therefore requires strong simplifying assumptions—representative agents, fixed preferences, and stable technologies—that systematically erase historical realism. Alfred Marshall explicitly warned against this reduction, arguing that mechanical analogies may offer analytical convenience but fail to capture the organic and evolutionary character of economic life, especially over longer periods.

Marshall himself conceded this trade-off, noting that biological conceptions are “more complex than those of mechanics” and that mechanical analogies therefore dominate foundational exposition despite their limitations. What was gained in analytical clarity was knowingly purchased at the expense of ontological fidelity.

The cumulative effect of importing physics-style methods into economics was therefore not value neutrality, but a systematic narrowing of what could be seen, modeled, and debated. By centering equilibrium, optimization, and efficiency, economic analysis privileged internally coherent outcomes while sidelining power asymmetries, ecological limits, and intergenerational consequences that resist mechanical representation. These concerns were not resolved elsewhere. They were displaced beyond the boundaries of “positive” analysis. The issue, therefore, was not excessive formalism but ontological misalignment: a methodology designed for closed, reversible, non-intentional systems was applied to an open, historical, adaptive, and normatively charged reality. This misalignment sets the stage for considering why an evolutionary, biology-informed mode of reasoning offers a closer fit to the nature of economic life.

Georgescu-Roegen articulated this methodological failure most directly, arguing that standard economics had been built upon “the mechanistic epistemology of classical physics,” despite the fact that the economic process is entropic and irreversible. His critique makes explicit what earlier economists implied: the physics analogy is not merely limited, but fundamentally incompatible with the object economics seeks to explain.

Biology and Economics: Similarities in the Nature of Their Objects

If economics is to adopt a methodological framework aligned with the nature of its object, the relevant comparison is not with mechanics but with the life sciences. Biology confronts systems that persist, transform, and sometimes collapse under changing environmental and institutional constraints. Its mode of explanation is therefore oriented toward evolution, adaptation, and viability over time rather than convergence to optimal states. These are precisely the explanatory demands posed by economic systems, which evolve through innovation, institutional change, and cumulative constraint rather than through mechanical adjustment.

Both biology and economics confront open systems whose internal dynamics are inseparable from their environments. In biological analysis, metabolism, reproduction, and survival are defined by continuous material and energetic exchange with surrounding ecosystems. Economic systems exhibit the same dependence: production, consumption, and accumulation are conditioned by ecological limits, institutional frameworks, and social relations. Treating environmental constraints, public health, or political institutions as exogenous variables is therefore not an empirical description of economic reality, but a methodological shortcut that obscures the structure of the system itself.

Both biology and economics are structured by historical path dependence rather than convergence toward predetermined states. In evolutionary biology, mutations, selection pressures, and environmental shifts accumulate over time, shaping future trajectories in ways that cannot be reversed or optimized ex post. Economic systems display the same cumulative logic. Technological lock-ins, institutional reforms, and distributional outcomes narrow future choice sets and bias subsequent development paths, independent of relative prices. This historical conditioning does not merely complicate equilibrium analysis. It undermines its core assumption that systems can be meaningfully understood apart from the paths by which they arrived at their present configurations.

A further point of convergence lies in adaptation without optimality. In biological systems, survival does not signal optimal design but viability under prevailing constraints. Organisms persist because they function adequately within their environments, not because they maximize a global objective. Economic systems display the same logic. Firms survive despite inefficiencies, policies evolve incrementally through trial and error, and institutional arrangements endure through satisficing rather than continuous optimization. Interpreting such behavior through models of universal maximization under fixed constraints therefore misrepresents the adaptive character of economic life. As Alfred Marshall cautioned, economic change unfolds through organic growth and adjustment over time, not through mechanical movement toward optimal states.

Heterogeneity functions as a causal driver in both biological and economic systems. In evolutionary biology, variation across individuals and populations is a necessary condition for selection and adaptation. Without diversity, evolutionary processes stall. Economic dynamics exhibit the same dependence. Differences across firms, sectors, regions, and institutional settings generate experimentation, uneven adjustment, and structural transformation. Innovation does not arise from representative agents facing identical conditions, but from asymmetries in capabilities, expectations, and access to resources. Schumpeter’s analysis of capitalist development captures this logic by treating innovation and creative destruction as endogenous forces that continuously disrupt existing structures, producing uneven outcomes rather than convergence toward equilibrium states.

Schumpeter made this incompatibility explicit, insisting that capitalism “never is and never can be stationary.” Equilibrium, in his framework, is a heuristic baseline rather than a description of economic reality, which is instead characterized by innovation, disruption, and structural transformation.

Finally, both biology and economics are concerned not with stable end states but with persistence, fragility, and collapse. Biological systems may flourish, stagnate, or disintegrate depending on environmental pressures, internal diversity, and adaptive capacity. Economic systems exhibit the same spectrum of outcomes. Financial crises, institutional breakdown, and ecological collapse are not anomalies interrupting an otherwise stable trajectory. They are systemic possibilities inherent in complex, adaptive social systems. Analytical frameworks that presuppose equilibrium therefore obscure the very phenomena that matter most for long-term viability, shifting attention away from resilience, thresholds, and failure modes.

These methodological affinities were explicitly recognized by early critics of mechanical economics. Alfred Marshall argued that “economic biology” provided a more appropriate framework for understanding long-period economic change than analogies drawn from mechanics, emphasizing that formal models should serve as heuristic tools rather than ontological descriptions of economic reality.

Thorstein Veblen sharpened this insight by insisting that economics failed scientifically insofar as it refused to adopt an evolutionary methodology. For Veblen, economic life was governed by cumulative causation, evolving habits of thought, and institutional transformation—processes fundamentally incompatible with teleological equilibrium reasoning. In both cases, the critique targeted not formalization itself, but the elevation of mechanical analogies into foundational method.

Later thinkers reinforced this evolutionary perspective from different angles. Joseph Schumpeter emphasized innovation and creative destruction as endogenous forces that continuously disrupt economic structures, rendering equilibrium a transient analytical fiction rather than a meaningful state of rest. Nicholas Georgescu-Roegen extended the argument by grounding economic processes in biophysical constraints and thermodynamic irreversibility, demonstrating that economic growth and transformation are subject to material limits that cannot be captured by reversible, equilibrium-based models.

Taken together, these contributions do not suggest that economics should imitate biology as a discipline. They demonstrate that the nature of the object economics seeks to explain demands an evolutionary, open-systems mode of reasoning—one that biology has developed precisely because its objects exhibit those characteristics. The failure of mainstream economics was its reliance on a mechanical framework ill-suited to an evolving, adaptive, and historically constrained reality.

Biology does not offer laws of optimal allocation. It offers a mode of explanation oriented toward viability over time. Applied methodologically, this perspective shifts economic analysis away from efficiency under static constraints and toward the conditions under which systems persist, adapt, or fail.

A biology-informed economics would therefore treat the environment not as an externality but as an internal condition of economic activity, focus on resilience and robustness rather than narrow efficiency, recognize thresholds, tipping points, and irreversibility as structural features rather than exceptional cases, and emphasize the co-evolution of institutions, technologies, and social norms. Under such a framework, phenomena long relegated to the periphery of economic analysis would become central by design.

Climate change, scientifically modeled as early as 1896 by Svante Arrhenius, would not appear as an external shock to an otherwise self-regulating system, but as a cumulative consequence of economic processes unfolding within finite ecological boundaries. Public health, demographic dynamics, institutional decay, and social cohesion would likewise be treated not as exogenous disturbances, but as constitutive determinants of long-run economic viability.

Environmental degradation feeds back into production costs and habitability. Public health conditions shape labor productivity and demographic structure. Institutional decay alters expectations and investment horizons. Social cohesion affects compliance, trust, and systemic stability. These dimensions determine whether an economic system can persist at all, not merely whether it allocates resources efficiently.

Why Economics Must Handle Biology Carefully

Invoking biology as a methodological analogue carries well-known risks. Biological language has historically been misappropriated to legitimize hierarchy, exclusion, and coercion by presenting contingent social arrangements as natural outcomes of “fitness.” Any attempt to draw methodological insight from biology must therefore begin by rejecting social Darwinism, racial or cultural hierarchy, and the naturalization of inequality as scientific error rather than unavoidable implication.

The relevant biological perspective is not one of superiority or ranking, but of context-dependent survival, diversity as a source of resilience, and systemic fragility under conditions of overshoot. Precisely because biological explanations can be misused, ethical constraints must stand above methodological borrowing, determining which interpretations are admissible and which are not. Without such ethical filtering and institutional safeguards, biological metaphors risk becoming instruments of domination rather than tools for understanding.

Must Social Sciences Borrow Their Methods from Positive Sciences?

The assumption that social sciences must ground their legitimacy in methods borrowed from the positive sciences is itself historically contingent rather than self-evident. Across disciplines, methodological choices have reflected not universal standards of scientific rigor, but contested judgments about the nature of the objects under study. The history of the social sciences therefore reveals not a single trajectory of imitation, but a spectrum of responses shaped by differing ontological commitments.

Economics represents the most systematic case of deliberate methodological borrowing among the social sciences. From the marginal revolution onward, it adopted mathematical formalism, equilibrium reasoning, and optimization principles modeled largely on classical mechanics. This shift was justified as an advance in scientific rigor and analytical clarity. Yet the borrowing carried more than formal techniques. It imported an implicit ontology that treated economic processes as if they were governed by invariant laws and reversible dynamics, despite their institutional, historical, and normative character—a concern already articulated by critics such as Marshall and Veblen.

Sociology followed a more methodologically self-conscious path. Early sociologists engaged with biological ideas without allowing them to dictate explanatory foundations. Durkheim, in particular, rejected both psychological and biological reductionism, arguing that social facts possess emergent properties irreducible to individual behavior or biological explanation. While he occasionally employed organic metaphors, these served heuristic rather than foundational purposes. The result was a distinct methodological identity centered on social structure, norms, and institutions, rather than on the imitation of a positive science.

Anthropology established methodological autonomy more decisively than any other social science. Rather than seeking legitimacy through alignment with a positive science, it grounded itself in ethnography, participant observation, and interpretive analysis. Franz Boas explicitly rejected biological determinism and evolutionary hierarchy, insisting that cultural variation must be understood historically and contextually rather than through universal laws derived from biology or physics. This refusal to anchor anthropology in a positive science was not a deficiency, but a recognition that meaning, symbolism, and power demand interpretive methods rather than predictive imitation.

Political science has long oscillated between formal modeling and historically grounded analysis, reflecting unresolved tensions over method. Max Weber’s concept of interpretive understanding (Verstehen) crystallizes this dilemma. Weber did not reject causal explanation, but he insisted that social action cannot be understood without reference to meaning, values, and legitimacy—dimensions inaccessible to methods borrowed wholesale from the natural sciences. His intervention thus marked an explicit recognition that methodological rigor in the social sciences requires fidelity to the interpretive character of their objects, rather than imitation of positive-science models.

This diversity of methodological trajectories undermines the notion that social sciences must ground themselves in positive sciences to achieve legitimacy. Instead, it suggests that methods should follow objects, not prestige. Where borrowing occurs, it must be selective, critical, and reflexive, aware of the ontological assumptions embedded in the borrowed framework and of the dimensions it necessarily excludes.

From this perspective, economics’ core problem was not methodological borrowing itself, but the uncritical elevation of a particular analogy into foundational method. By treating physics-inspired equilibrium and optimization as neutral descriptors rather than contingent analytical tools, economics abstracted from history, power, and ecological constraint while presenting those abstractions as scientific objectivity. Ethical and institutional questions were not resolved elsewhere. They were displaced beyond the boundaries of “positive” analysis and rendered analytically invisible, despite their decisive role in shaping economic outcomes.

The lesson from the broader history of the social sciences is therefore not methodological eclecticism for its own sake, but ontological discipline. Social sciences cannot evade values, interpretation, or institutional context. When they attempt to do so by imitating the methods of positive sciences, they risk mistaking formal elegance for explanatory adequacy. Scientific rigor in the social sciences lies not in imitation, but in fidelity to the nature of the phenomena under study.

Conclusion

The dominance of physics-based methods in economics was neither inevitable nor methodologically neutral. It reflected a historically contingent choice that privileged analytical tractability and formal elegance over fidelity to the nature of economic life. That choice narrowed the discipline’s field of vision at precisely the moment when economic activity began to generate irreversible ecological, institutional, and social constraints.

The argument developed here does not call for replacing one methodological dogma with another. It calls for realignment. Economic systems are open, historical, adaptive, and normatively charged. Methods designed for closed, reversible, non-intentional systems cannot adequately capture these properties, regardless of their internal coherence. Biology, carefully interpreted, offers not a substitute science but a mode of reasoning attuned to evolution, viability, fragility, and collapse—features intrinsic to economic reality.

Method alone cannot generate ethical outcomes, nor can economics substitute for moral or political judgment. But methodological choices shape what becomes analytically visible and what remains systematically ignored. When equilibrium, optimization, and efficiency are treated as foundational rather than contingent tools, questions of ecological limits, institutional decay, and intergenerational responsibility are displaced rather than resolved.

The ethical quality of economic outcomes ultimately depends on institutions capable of enforcing long-term constraints against short-term incentives. Economics cannot supply those institutions. It can, however, either obscure or illuminate the consequences of ignoring them. In this sense, methodological decisions are never ethically neutral. They delimit the range of futures that societies are even able to imagine, debate, and defend.

What emerges from the discipline’s own intellectual history is not dissent from economics, but an explicit recognition of its methodological limits. The marginalization of evolutionary and biological reasoning was not the result of ignorance, but of an institutionalized preference for tractable formalism over ontological adequacy. In an era defined by ecological thresholds and historical irreversibility, this methodological narrowing can no longer be treated as an internal disciplinary matter.

When climate risk, demographic stress, and institutional fragility shape growth itself, the question of method becomes inseparable from the question of governance.

Author's Note: A Turkish-language version of this article was previously published in İktisat ve Toplum, Issue 185 (March 2026), under the title Metodolojik Bağ: İktisat ve Biyoloji.