Anthony J. Pennings, PhD

WRITINGS ON AI POLICY, DIGITAL ECONOMICS, ENERGY STRATEGIES, AND GLOBAL E-COMMERCE

Epistemological and Philosophical Implications of Spreadsheet Logic

Posted on | May 25, 2026 | No Comments

Citation APA (7th Edition)

Pennings, A.J. (2026, May 25) Epistemological and Philosophical Implications of Spreadsheet Logic. apennings.com https://apennings.com/digital-geography/epistemological-and-philosophical-implications-of-spreadsheet-logic/

Introduction

Epistemological and Philosophical Implications of Spreadsheet Logic

This post explores the thinking of Alex Edmans and Anthony Giddens and applies them to the implications of digital spreadsheets and what I call “spreadsheet logic,” the layers of SACT (Substitution – Abstraction – Symbolic Computing – Telecommunications Synchronization) SACT (Substitution – Abstraction – Symbolic Computation – Telecommunications Synchronization).

Spreadsheet logic is more than a tool; it is a distinctive epistemological and philosophical regime. By filtering corporate strategy, investment allocation, public policy, and even personal career planning through rows and columns of assumptions, cash-flow forecasts, discount rates, net present value (NPV), internal rate of return (IRR), and sensitivity tables, it imposes a specific way of knowing and valuing the world. This regime privileges calculative rationality, reduces complexity to financial variables, and reconfigures our relationship to time, space, value, and judgment.

Drawing on Alex Edmans’ critique of quantification and Anthony Giddens’ theory of time-space distanciation (and the related concept of time-space power), we can see how spreadsheets do not neutrally represent reality. Spreadsheet logic actively reshapes it, often with profound consequences.

Hard Metrics, Soft Losses, and the Illusion of Precision

At its core, spreadsheet logic enacts an epistemology of quantification. Knowledge is deemed valid only insofar as it can be rendered numerical, projected forward, and discounted back to the present. This creates a systematic bias toward “hard” information—verifiable numbers, contractible targets, and modelable forecasts—while sidelining “soft” information such as contextual judgment, tacit knowledge, organizational culture, or serendipitous innovation.

Alex Edmans argues that most important outcomes cannot be quantified. His analysis of sustainability metrics, ESG ratings, and incentive systems shows that over-reliance on hard data produces an imbalance. Metrics increase total information but distort its balance, leading managers and decision-makers to optimize for what shows up in the spreadsheet rather than what truly creates value. The result is “hitting the target but missing the point”—a form of epistemic distortion in which the unmodeled is treated as nonexistent.[2]

Philosophically, this echoes a deeper reductionism. Spreadsheet epistemology assumes the world is (or can be made) sufficiently stable and predictable for reliable forecasting. Yet complex systems are rife with Knightian uncertainty, not mere risk.[1] Small changes in discount rates, growth assumptions, or correlation matrices can swing NPV from positive to negative. The apparent precision of a formatted table and Monte Carlo simulation masks profound epistemic fragility. Most complex financial models contain errors, and the very act of modeling can create self-fulfilling prophecies through herding. What counts as “knowledge” becomes whatever survives the sensitivity table, crowding out narrative understanding, historical context, or ethical intuition.

Temporality, Ontology, and the Colonization of Value

Spreadsheet logic enacts a distinctive philosophy of time. Discounted cash flow techniques rest on the “time value of money.” This idea is the assumption that a dollar today is worth more than a dollar tomorrow. The issue is not merely technical; it philosophically privileges the present and heavily discounts the distant future. Long-horizon investments (basic research, infrastructure, cultural capital) rarely survive the spreadsheet test unless their near-term cash flows justify them. The future is not an open horizon of possibility but a contingent stream to be colonized and brought back to today’s required rate of return. This phenomenon yields what critics call pathological short-termism. Quarterly capitalism prevails in which the spreadsheet becomes a temporal disciplining device.

Ontologically, spreadsheet logic flattens reality into financial flows. Value is redefined monistically: an asset, project, policy, or career choice exists meaningfully only insofar as it generates positive NPV or meets IRR thresholds. Non-financial dimensions such as social cohesion, environmental resilience, intrinsic purpose, or human flourishing are either ignored or awkwardly proxied into variables that the model can digest. This process is not neutral accounting; it is an ontological commitment that what cannot be cash-flowed is less real.

Ethically and existentially, the regime subordinates judgment to formula. Leaders no longer ask “Is this the right thing?” but “Does this pass the model?” Purpose and intrinsic motivation are crowded out by instrumental compliance. Edmans’ warning applies directly. When everything must be quantified in a spreadsheet for incentives or evaluation, genuine stewardship gives way to box-ticking and greenwashing. Spreadsheet logic thus erodes the space for moral reasoning, replacing it with algorithmic governance.

Giddens and Spreadsheet Logic as Time-Space Distanciation and Time-Space Power

Anthony Giddens’ framework illuminates the structural power at work. In modernity, social relations are increasingly “stretched” across time and space through “time-space distanciation“, the disembedding of interactions from local contexts of co-presence and their reconfiguration across indefinite distances and horizons. Mechanisms such as money, standardized time, expert systems, and information technologies make this possible. Giddens explicitly links both ancient (lists, tables, writing, zero) and advanced information technologies to the achievement of time-space power. This capacity of social systems (and those who control them) draws on the ability to store, coordinate, and exert influence over distant times and places without physical presence.[3]

Spreadsheets are a quintessential disembedding technology. They substitute and abstract local operations—factories, communities, ecosystems—into global cash-flow models that can be manipulated from distant headquarters or investment funds. A private-equity firm in New York can model the future cash flows of a manufacturing plant in Indonesia, apply a discount rate reflecting global capital costs, and decide to restructure or divest—exerting time-space power over workers, suppliers, and environments it never physically encounters. Decisions are lifted out of immediate context and stretched across global space and multi-year time horizons. The spreadsheet becomes the expert system that coordinates absent actors, much as money or clocks did in earlier phases of modernity.

This produces Giddensian consequences, such as heightened reflexivity (constant remodeling of futures), the globalization of capital allocation, and new forms of systemic risk (correlated models amplifying bubbles or crashes). Yet it also creates a paradox Edmans would recognize. While time-space power grants financial elites immense coordination capacity, it systematically erodes the soft, local, and contextual knowledge required for sustainable value creation. The very mechanism that stretches power across time and space blinds it to the qualitative realities that cannot be adequately represented in spreadsheet cells.

Broader Ramifications and the Need for Re-Embedding Judgment

The epistemological and philosophical implications converge in a subtle but powerful ideology. Spreadsheet logic naturalizes a world in which only the modelable matters, the future is discounted, and power flows to those who master the formulas. Personal career choices become exercises in self-financialization (“What is the NPV of this degree?”). Public policy is reduced to cost-benefit spreadsheets that undervalue the unmeasurable. Societies underinvest in the very sources of long-term flourishing—culture, trust, resilience, breakthrough innovation—because they resist clean projection.

Giddens’ analysis suggests that such distanciation is not inevitable; it can be countered by re-embedding mechanisms that restore local context and qualitative judgment. Edmans offers a practical path. He suggests supplementing metrics with assessment, narrative, and principles-based decision-making rather than mechanical quantification. The challenge is not to abandon spreadsheets; they remain powerful for discipline and scale, but to recognize them as a limited lens, not the final arbiter of truth or value.

In the end, spreadsheet logic reveals a deeper tension in late modernity: the extraordinary expansion of time-space power through calculative technologies has come at the cost of epistemic humility and philosophical depth. Reclaiming judgment, purpose, and the unquantifiable is not anti-rigorous; it is the necessary corrective if we wish to build economies and societies that actually grow the pie rather than merely optimizing what fits in the cells.

References

Edmans, A. Grow the Pie: How Great Companies Deliver Both Purpose and Profit. Cambridge University Press, 2020.
Edmans, A. May Contain Lies: How Stories, Statistics, and Studies Exploit Our Biases—And What We Can Do about It. University of California Press, 2024 (or Penguin UK edition, 2024).
Edmans, A. “The Dangers of Sustainability Metrics”. VoxEU, 11 February 2021.
Edmans, A. “No Stakeholder Left Behind: The Dangers of ESG Metrics”. Medium, 21 November 2021.
Giddens, A. The Consequences of Modernity. Polity Press (Cambridge, UK) / Stanford University Press, 1990.
Giddens, A. The Constitution of Society: Outline of the Theory of Structuration. University of California Press / Polity Press, 1984.

Notes

[1] Knightian uncertainty is a concept that establishes a clear theoretical divide between the predictable and the unpredictable. Understanding this difference is critical for analyzing market volatility, entrepreneurial decision-making, and regulatory policies.
[2] Edmans’ works focus on the practical distortions of quantification in business and policy. Edmans, A. Grow the Pie: How Great Companies Deliver Both Purpose and Profit. Cambridge University Press, 2020.
This is the core book developing the argument that most important outcomes cannot be quantified and that purpose-driven companies ultimately deliver superior long-term value. It was coined by economist Frank Knight in 1921, who stressed quantifiable risk by acknowledging the unmeasurable, and the unknown variables where statistical probabilities cannot be assigned.
[3] Giddens provides the broader sociological framework for understanding how calculative technologies like spreadsheets exercise power by disembedding decisions from local contexts and stretching them across time and space. Giddens, A. The Consequences of Modernity. Polity Press (Cambridge, UK) / Stanford University Press, 1990.
This is the primary source for the concepts of time-space distanciation, the “stretching” of social relations across time and space, and the role of expert systems and abstract mechanisms in enabling time-space power in late modernity. Giddens, A. (1983) The Nation-State and Violence. (Berkeley, CA: University of California Press) is also very important for its integration of technologies.

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Not to be considered financial advice. AI is often used, and results are thoroughly interrogated. Links are used for some citations.



AnthonybwAnthony J. Pennings, PhD is a Professor at the Department of Technology and Society, State University of New York, Korea and a Research Professor for Stony Brook University. He teaches AI and broadband policy. From 2002-2012 he taught digital economics and information systems management at New York University. He also taught in the Digital Media MBA at St. Edwards University in Austin, Texas, where he lives when not in Korea.

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    Professor (full) at State University of New York (SUNY) Korea since 2016. Research Professor for Stony Brook University. Moved to Austin, Texas in August 2012 to join the Digital Media Management program at St. Edwards University. Spent the previous decade on the faculty at New York University teaching and researching information systems, digital economics, and global political economy

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