Institute for Social Vision Design

What Is Agnotology? — How Manufactured Ignorance Corrodes Society

Naoya Yokota
About 7 min read

An introduction to agnotology (the study of ignorance) and its three typologies. From Big Tobacco's 'Doubt is our product' memo to ExxonMobil's climate denial and AI-era deepfakes — analyzing the structure of deliberately manufactured ignorance and data-driven countermeasures.

TL;DR

  1. Agnotology is the academic study of how ignorance is deliberately manufactured, with the tobacco industry's doubt-manufacturing strategy serving as its prototype
  2. Deliberate ignorance manufacturing — from climate denial to Minamata disease to statistical fraud — has been replicated across industries and eras
  3. In the AI era, deepfakes and generative AI have dramatically reduced the cost of doubt manufacturing, making structural countermeasures urgent

What Is Happening

Introduction to deliberate ignorance manufacturing through tobacco industry's doubt strategy

"Doubt is our product since it is the best means of competing with the 'body of fact' that exists in the mind of the general public." This sentence appeared in a 1969 internal memo of Brown & Williamson, an American tobacco company. Despite science demonstrating the causal link between smoking and lung cancer, continuously injecting "uncertainty" into that fact — this was the industry's survival strategy.

This strategy functioned for approximately 50 years. And it did not stop at tobacco. The fossil fuel industry denying climate change, pharmaceutical companies concealing inconvenient clinical trial data, governments manipulating statistics — the structure of deliberately manufacturing "ignorance" has been replicated across industries and eras.

The academic field that systematically elucidates this structure is agnotology. A neologism combining the classical Greek agnosis (ignorance) and logia (study), it was coined in 1992 by linguist Iain Boal at the request of Robert N. Proctor, a professor of the history of science at Stanford University. While traditional epistemology asks "How do we know?", agnotology asks "Why don't we know what we don't know?"

Background and Context

Historical development and academic framework of agnotology as systematic study

The Genealogy of Ignorance Studies — Agnotology as an Academic Field

More than half a century of prehistory preceded agnotology's establishment as an academic discipline.

Its origins trace back to tobacco industry research. Through the 1990s, as Proctor combed through the tobacco industry's internal documents, he arrived at the question: "How is scientific knowledge 'not made'?" In 2008, Proctor and Londa Schiebinger co-edited Agnotology: The Making and Unmaking of Ignorance, formally systematizing agnotology as an interdisciplinary research field.

The work that decisively reinforced Proctor's problematic was that of Naomi Oreskes. Oreskes and Erik Conway, in Merchants of Doubt (2010), documented how the same small group of scientists systematically manufactured doubt across four domains — tobacco, acid rain, the ozone hole, and climate change. This work significantly expanded agnotology's scope by demonstrating that ignorance manufacturing is not a tactic of individual industries but a cross-industry, cross-historical structure.

In Japan, the publication of Gendai Shiso (Contemporary Thought), June 2023 Special Issue: What Is Agnotology? saw science historian Sayaka Oki and science and technology studies scholar Togo Tsukahara launch a full-scale discussion in the Japanese-language sphere. The special issue connects the insights of Proctor and Oreskes to the Japanese context — Minamata disease, the Fukushima nuclear disaster, statistical fraud — attempting to interrogate the distinctiveness of "Japanese-type agnotology."

The academic development of agnotology has expanded from its origins in tobacco research to encompass climate denial (Oreskes), pharmaceutical clinical trial concealment (Goldacre), and the sugar industry's research manipulation (Kearns). It represents an epistemological shift offered to society: "Ignorance is not merely the absence of knowledge; it is often produced just as actively as knowledge itself."

A Map of Three Types of Ignorance

🌫️
Native State
Natural Ignorance
Knowledge gaps — the natural vacuum of unknowing
Undiscovered laws, unexplained mechanisms
🔍
Lost Realm
Selective Ignorance
Structural neglect from biased attention & funding
Women's health research neglect, orphan diseases
🏭
Strategic Ploy
Manufactured Ignorance
Deliberately & systematically produced ignorance
Tobacco doubt manufacturing, climate denial
↓ Increasing harmfulness — Strategic ploy is the core concept of agnotology
Fig: Three types of ignorance (Proctor & Schiebinger 2008)

Proctor organized ignorance into three typologies. First, "Native State" — ignorance as facts not yet known, serving as the motivation for scientific inquiry. Second, "Lost Realm" (selective ignorance) — structural ignorance arising from biases in attention, interest, and funding allocation, where certain knowledge is simply "not produced." The long neglect of women's health research and orphan diseases that attract insufficient funding fall into this category. Third, "Strategic Ploy" — the deliberate, systematic "manufacturing" of ignorance, the core concept of agnotology.

The critical insight is that, as the second typology demonstrates, ignorance can be structurally produced even without malicious intent. The uneven distribution of academic interest, research funding structures, and gender biases combine to ensure that knowledge in certain domains is systematically "not created."

The Tobacco Industry as Textbook

1950s
Tobacco Industry
Claimed smoking-cancer link was 'uncertain' for ~50 years
1969
B&W Memo
'Doubt is our product' — internal memo codifying the strategy
1989–2010
ExxonMobil
21 years of 'climate science is uncertain' advertorials in major papers
1998–2004
Funding
$16 million to climate denial organizations
2020s
AI Disinfo
8M deepfakes, 1,200+ AI-generated news sites
Fig: Industrial deployment of doubt manufacturing — from tobacco to AI

The tobacco industry's "doubt manufacturing" strategy is agnotology's textbook case. In the 1950s, as epidemiological research demonstrating the causal link between smoking and lung cancer accumulated, the industry launched its counterattack under the direction of Hill & Knowlton (a PR firm).

The methods were sophisticated: funding basic cancer research not to find cures but to create "scientific uncertainty" around causation; mobilizing "mercenary scientists" to dissect every study's methodology and challenge its conclusions; using front organizations like the Tobacco Industry Research Committee (TIRC) to disguise funded research as "independent"; and leveraging networks of politicians and lawyers to delay regulation.

David Michaels documented in Doubt Is Their Product (2008) how this model was widely transferred to the chemical, pharmaceutical, and food industries. Doubt manufacturing became an established, cross-industry "business model."

Climate Denial — The Same Strategy Scaled Up

The fossil fuel industry's climate change denial represents the tobacco model's greatest "success." A 2023 Harvard analysis revealed that ExxonMobil's internal scientists predicted global warming with "shocking accuracy" between 1977 and 1982. Despite this, ExxonMobil and its predecessor Mobil ran advertorials in major newspapers for 21 years claiming "climate science is uncertain".

ExxonMobil donated $16 million to organizations challenging the impact of global warming. Naomi Oreskes and Erik Conway's Merchants of Doubt (2010) documented how the same small group of scientists repeated doubt manufacturing across four domains: tobacco, acid rain, the ozone hole, and climate change.

Cases in Japan — Minamata Disease and Statistical Fraud

Agnotological structures exist in Japan as well. The denial of causation in Minamata disease is a classic example. In 1959, Kumamoto University and the Ministry of Health's Food Sanitation Investigation Committee presented the organic mercury hypothesis, yet Chisso (Shin Nihon Chisso Hiryo) countered that "the factory uses inorganic mercury, and organic mercury is unrelated to the factory." They exploited the fact that the mechanism of organic mercury formation from inorganic mercury had not been theoretically elucidated at the time, maintaining that "causation has not been proven." Chisso had internally confirmed through experiments that wastewater was the cause, but suppressed those findings.

A more recent example is the Monthly Labour Survey fraud discovered in 2018. The Ministry of Health, Labour and Welfare had been substituting sample surveys for required full-count surveys of establishments, and "inflating" wage data. The damage affected a cumulative 20 million people, totaling approximately ¥57 billion. Government statistical manipulation is nothing other than the manufacture of strategic ignorance — structurally preventing citizens from making decisions based on accurate data.

Reading the Structure

Analysis of mechanisms and patterns in manufactured ignorance across industries

Agnotology in the AI Era

The evolution of digital technology has dramatically reduced the cost of doubt manufacturing. Deepfake videos surged from approximately 500,000 in 2023 to an estimated 8 million in 2025. Over 1,200 AI-generated news sites across 16 languages have been identified, a more than 20-fold increase in two years. The World Economic Forum's Global Risks Report 2026 ranks misinformation and disinformation among the top short-term global risks.

Doubt manufacturing once required "infrastructure": PR firms, mercenary scientists, front organizations. Today, generative AI can substitute for much of that infrastructure. The essential problem is not the technology itself, but that the incentive structure for manufacturing ignorance remains unchanged.

The Structure of Countermeasures — Beyond Fact-Checking

The fact-checking efforts centered on IFCN (International Fact-Checking Network) are important, but their limitations are evident. An "arms race" is underway as the disinformation side also leverages AI to evade detection.

Institutional responses are also progressing. The EU AI Act mandates labeling of AI-generated content, with fines of up to 3% of global turnover (or EUR 15 million) for violating companies. Yet what agnotology teaches is that "whack-a-mole" targeting individual pieces of disinformation leaves the structures that manufacture ignorance intact.

To answer Proctor's question — "Why don't we know?" — we must make visible not the information itself but the structures surrounding it. Tracking and publishing funding flows, citation networks, media ownership structures, and lobbying expenditures. Illuminating the manufacturing process of "made ignorance" with data. This constitutes the most fundamental countermeasure against agnotology.


For the social impact of information manipulation and science denial, see also "AI Authority Bias and Knowledge Hollowing — The Structure of 'Thinking Ability' Questioned by Automation."

References

Agnotology: The Making and Unmaking of IgnoranceRobert N. Proctor & Londa Schiebinger (Eds.)

Merchants of Doubt: How a Handful of Scientists Obscured the Truth on Issues from Tobacco Smoke to Global WarmingNaomi Oreskes & Erik M. Conway

Assessing ExxonMobil's global warming projectionsGeoffrey Supran, Stefan Rahmstorf & Naomi Oreskes

Doubt Is Their Product: How Industry's Assault on Science Threatens Your HealthDavid Michaels

特集=無知学/アグノトロジーとは何か — 科学・権力・社会隠岐さや香 et al.

わたしたちは何を知らないのか? 無知学(アグノトロジー)のすすめWIRED.jp

How cognitive manipulation and AI will shape disinformation in 2026World Economic Forum

Reference Books

Questions to Reflect On

  1. What role has conflicting information played in reshaping your understanding of topics you once considered settled fact?
  2. In what ways can you identify when scientific uncertainty is being weaponized to create false doubt rather than reflecting genuine knowledge gaps?
  3. Consider your professional or personal interests—what patterns of strategic misinformation have you observed being deployed in these areas?

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