Back Matter
Endnotes
N. The Universality of You
1. Popper and Deutsch. Popper's Objective Knowledge (1972) and Conjectures and Refutations (1963), and Deutsch's The Fabric of Reality (1997) and The Beginning of Infinity (2011), establish the book's principal intellectual ancestry: conjectural knowledge, criticism, explanatory reach, and universality. The distinctive application here is to the singular person.
2. Objective knowledge and the growth of knowledge. Popper's World 3 account in Objective Knowledge distinguishes objective knowledge from subjective knowing, including objectively existing false theories. The schema adapts his , replacing tentative theory with tentative solution.
3. Inexplicit knowledge. Michael Polanyi's Personal Knowledge (1958) and The Tacit Dimension (1966) are predecessors for inexplicit knowledge; Gilbert Ryle's The Concept of Mind (1949) distinguishes knowing-how from knowing-that. Inexplicit additionally permits the creation of explicit, criticizable knowledge from previously unarticulated activity.
4. Evolutionary and biological knowledge. Charles Darwin's On the Origin of Species (1859), Richard Dawkins's The Selfish Gene (1976), and Donald T. Campbell's “Blind Variation and Selective Retention in Creative Thought as in Other Knowledge Processes” (1960) supply biological and evolutionary precedents. Popper's Objective Knowledge links evolutionary adaptation with the growth of human knowledge.
5. Abstraction, representation, and explanation. Alfred Korzybski's Science and Sanity (1933) is a source for the map–territory distinction. Deutsch's The Beginning of Infinity distinguishes explanatory understanding from mere predictive or descriptive success; the chapter applies both distinctions to abstraction and compression.
6. Explanatory reach and computational universality. Deutsch's The Beginning of Infinity, particularly “The Reach of Explanations,” “The Reality of Abstractions,” and “The Jump to Universality,” and The Fabric of Reality establish the general framework. His “Quantum Theory, the Church–Turing Principle and the Universal Quantum Computer” (1985) develops the physical claim concerning universal simulation. Scott Aaronson's “Why Philosophers Should Care About Computational Complexity” (2013) distinguishes abstract computability from computational feasibility, a constraint on what universal simulation makes practically reachable.
7. Objective knowledge and recursive tools. Popper's World 3 account provides the starting point for objective knowledge acting back upon knowers. Merlin Donald's Origins of the Modern Mind (1991) describes how external symbolic representations expand human cognitive possibilities. The focus here is the recursive return of created artifacts to later problem situations.
8. Ancestry, derivation, and explanatory creativity. Popper's The Poverty of Historicism (1957) argues that future knowledge cannot be scientifically predicted in advance; Deutsch's The Beginning of Infinity, especially “The Spark,” “Creation,” and “Artificial Creativity,” examines explanatory creativity. Historical ancestry is not a procedure for deriving a new explanation.
I. You Are Not A Geneget
1. Title. You Are Not A Geneget mutates Jaron Lanier's You Are Not a Gadget (2010), replacing the technological referent with a genetic one. The reference is to the title, not an adoption of Lanier's argument.
2. Personality genetics. See Priya Gupta and colleagues, “A Genome-Wide Investigation into the Underlying Genetic Architecture of Personality Traits and Overlap with Psychopathology” (2024), and Ted Schwaba, Michel Nivard, and Elliot Tucker-Drob, “Personality Genomics” (2026), for the population-level personality-genetics research considered here.
3. Heritability and causal explanation. Richard Lewontin's “The Analysis of Variance and the Analysis of Causes” (1974) distinguishes explaining population variation from identifying the causes of a trait. A cause shared across a population can be important without explaining measured differences within it.
4. Personality dimensions and individuality. Dan P. McAdams's “The Five-Factor Model in Personality: A Critical Appraisal” (1992) and “What Do We Know When We Know a Person?” (1995) distinguish comparative traits from understanding a person. His phrase psychology of the stranger is especially pertinent.
5. Trait reification and causal structure. Simon Boag, “Explanation in Personality Psychology: ‘Verbal Magic’ and the Five-Factor Model” (2011), examines circular trait explanations; Borsboom, Mellenbergh, and van Heerden, “The Theoretical Status of Latent Variables” (2003), distinguish measurement models from causal claims. See also Michael P. Grosz, “Why the Big Five Personality Traits Are Composites, Not Common Causes” (2026).
6. Different causal histories, similar outcomes. Dante Cicchetti and Fred A. Rogosch's “Equifinality and Multifinality in Developmental Psychopathology” (1996) describes distinct developmental pathways producing similar outcomes, and similar starting conditions producing divergent ones. A shared personality measurement need not imply a shared explanatory history.
7. Cultural knowledge and historical development. Joseph Henrich's The Secret of Our Success (2015) and The WEIRDest People in the World (2020) examine cultural knowledge, institutions, and their historical effects on human development, including effects that do not depend on changed genetic inheritance.
II. Populations, Fast and Slow
1. Title. Populations, Fast and Slow mutates Daniel Kahneman's Thinking, Fast and Slow (2011). The contrast shifts from cognitive processing styles to rapid population classification versus the slower work of explaining a particular individual.
2. Between-person and within-person explanation. Peter C. M. Molenaar's “A Manifesto on Psychology as Idiographic Science” (2004) identifies conditions under which between-person findings could describe within-person dynamics. Fisher, Medaglia, and Jeronimus, “Lack of Group-to-Individual Generalizability Is a Threat to Human Subjects Research” (2018), develops the empirical challenge.
3. Transportability and the limits of population inference. Judea Pearl and Elias Bareinboim, “External Validity: From Do-Calculus to Transportability Across Populations” (2014), formalize conditions for transferring causal findings. Nancy Cartwright and Jeremy Hardie's Evidence-Based Policy (2012) examines the assumptions needed for such transfer. Neither provides an explanation of an individual merely from population fit.
4. The looping effects of classification. Ian Hacking's “The Looping Effects of Human Kinds” (1995), in Causal Cognition, describes how classifying people can change their subsequent behavior and thus the phenomenon classified. Classification can be part of a person's causal history, not simply a report about it.
III. The Anxious Authorities
1. Title. The Anxious Authorities mutates Jonathan Haidt's The Anxious Generation (2024), transferring the focus of anxiety from children to the authorities interpreting and managing their media use. It is a title allusion, not a reply to Haidt's empirical thesis.
2. Social knowledge and memes. Richard Dawkins introduced meme in The Selfish Gene (1976); Susan Blackmore's The Meme Machine (1999) develops the idea of mutually reinforcing memeplexes. These supply the cultural-inheritance vocabulary for recurring claims about epistemic and parental authority.
3. Children and epistemic sovereignty. Aaron Stupple's The Sovereign Child (2025), within the Popperian Taking Children Seriously tradition, distinguishes children's knowledge creation from adult claims to authority over their judgment.
4. The bucket theory of mind. Popper's “The Bucket and the Searchlight: Two Theories of Knowledge,” in Objective Knowledge, opposes passive accumulation of inputs to active, expectation-guided learning. This underlies the distinction between children as interpreters and children as receptacles for media content.
5. Children, media, and epistemic control. danah boyd's It's Complicated (2014) examines adolescents' participation in networked media and adult misreadings of it; Eli Pariser's The Filter Bubble (2011) examines technological selection of informational exposure. Both concern the conditions of a person's next epistemic encounter.
IV. The Wisdom Between The Crowd
1. Title. The Wisdom Between The Crowd mutates James Surowiecki's The Wisdom of Crowds (2004). Between locates the relevant knowledge in relations, institutions, and shared artifacts rather than positing a collective knowing subject.
2. Methodological individualism and social explanation. Max Weber's Economy and Society (1922) provides a classical statement of methodological individualism: social phenomena can be explained through individual actions without denying institutions or other social structures.
3. Distributed knowledge and coordination. Friedrich Hayek's “The Use of Knowledge in Society” (1945) examines coordination of dispersed knowledge; Leonard E. Read's I, Pencil (1958) illustrates productive cooperation without comprehensive understanding by any participant.
4. Freedom and error correction. John Stuart Mill's On Liberty (1859) defends free discussion as a means of discovering error; Popper's The Open Society and Its Enemies (1945) makes institutional criticism and corrigibility central to political openness.
5. Media and the conditions of knowing. Marshall McLuhan's Understanding Media (1964) examines how media alter the conditions of human activity; Neil Postman's Amusing Ourselves to Death (1985) examines the structure imposed on public discourse by its medium. Neither is invoked as an alternative epistemology.
6. Human–computer interaction and externalized cognition. J. C. R. Licklider's “Man-Computer Symbiosis” (1960) anticipates interactive intellectual augmentation. Andy Clark and David Chalmers's “The Extended Mind” (1998) is a philosophical comparison concerning external cognitive resources; AI responsiveness alone does not establish a new knowing subject.
V. The Popperian Heckle
1. Title. The Popperian Heckle comes from Richard Dawkins's “Hall of Mirrors” (2000), later “What Is True?” in A Devil's Chaplain (2003). The phrase is redirected from an objection about conjectural scientific truth to the unexplained creative arrows in Popper's schema.
2. Theory-laden observation without relativism. Norwood Russell Hanson's Patterns of Discovery (1958) examines theory-laden observation; Thomas Kuhn's The Structure of Scientific Revolutions (1962) describes historical changes in scientific problems. These are comparisons, not an endorsement of paradigm-relative truth: the governing epistemology remains Popperian realism.
3. Epistemic action and recursive agency. Albert Bandura's Social Foundations of Thought and Action (1986) describes reciprocal relations among persons, actions, and environments. Kirsh and Maglio's “On Distinguishing Epistemic from Pragmatic Action” (1994) distinguishes actions that improve cognition from actions directly achieving an external result.
4. Naturalistic agency, not a borrowed theory of freedom. Daniel Dennett's Freedom Evolves (2003) offers a naturalistic account of agency. It is a neighboring treatment of the physical possibility of freedom, not the chapter's explanation of creativity or its source of epistemology.
5. Consciousness and conscious availability. David Chalmers's “Facing Up to the Problem of Consciousness” (1995) distinguishes functional explanation from subjective experience; Ned Block's “On a Confusion About a Function of Consciousness” (1995) distinguishes phenomenal from access consciousness. The variation of conscious availability across epistemic histories is the chapter's separate conjecture.
6. Personal interpretation and explanatory change. George Kelly's The Psychology of Personal Constructs (1955) describes revisions in how people interpret events. Its constructive alternativism is relevant to changing personal explanations, without making truth dependent on an individual's interpretation.
7. Legibility and control. James C. Scott's Seeing Like a State (1998) analyzes administrative simplification and the limits of institutional legibility. The pertinent distinction is between making a person easier for an institution to classify and improving that person's opportunities for criticism.
8. Difference as an epistemic resource. Helen Longino's Science as Social Knowledge (1990) examines how critics with different backgrounds can expose unnoticed assumptions. The relevant contribution is diversity as a source of possible criticism, not differing standards of truth.
VI. The Black Rabbit Hole
1. Title. The Black Rabbit Hole combines Lewis Carroll's “Down the Rabbit-Hole” in Alice's Adventures in Wonderland (1865) with the gravitational image of a black hole. The image concerns recursive epistemic attraction, not literal inescapability.
2. Perception is mediated, reality is not relative. Andy Clark's Surfing Uncertainty (2016) describes predictive processing and the effects of prior expectations on perception. It supplies a cognitive comparison, not a Bayesian epistemology; the governing problem is Popper's account of expectation-mediated perception under one mind-independent reality.
3. Psychological naïve realism and manifest truth. Lee Ross and Andrew Ward's “Naive Realism in Everyday Life” (1996), in Values and Knowledge, examines the tendency to mistake one's interpretation for unmediated reality and to attribute disagreement to others' defects. This psychological finding should not be confused with philosophical realism.
4. Self-protecting beliefs as a psychological phenomenon. Carol Tavris and Elliot Aronson's Mistakes Were Made (But Not by Me) (2007) and Jonathan Haidt's The Righteous Mind (2012) describe psychological defenses of belief. Ray Scott Percival's The Myth of the Closed Mind: Understanding Why and How People Are Rational (2011) offers a closer critical-rationalist counterpoint: stubbornly held beliefs need not be immune to criticism.
5. The hidden depth of other minds. John Koenig's The Dictionary of Obscure Sorrows (2021) popularized sonder, recognition of the complex interior lives of strangers. It is a cultural analogue for the chapter's limits of external reconstruction.
VII. The Emissaries and Their Master
1. Title. The Emissaries and Their Master reverses Iain McGilchrist's The Master and His Emissary (2009), transferring the metaphor from cerebral hemispheres to a person and external systems of objective knowledge. It does not adopt McGilchrist's brain theory.
2. Consilience. William Whewell coined consilience of inductions in The Philosophy of the Inductive Sciences (1840); E. O. Wilson's Consilience (1998) pursues relations among domains of knowledge. Here consilience denotes provisional compatibility among independently developed explanations, not proof by coherence.
3. Reflective equilibrium is not the criterion of truth. John Rawls's A Theory of Justice (1971) describes reflective equilibrium among judgments and principles; Jean Piaget's The Equilibration of Cognitive Structures (English edition 1985) examines disturbance and reorganization. Neither equilibrium nor coherence is adopted as a criterion of truth.
4. Cognitive dissonance. Leon Festinger's A Theory of Cognitive Dissonance (1957) describes discomfort associated with incompatible cognitions and its possible reduction. Discomfort may prompt criticism, but neither its presence nor its resolution establishes truth.
5. Epistemic bubbles and echo chambers. C. Thi Nguyen's “Echo Chambers and Epistemic Bubbles” (2020) distinguishes missing alternative perspectives from environments that actively discredit outside sources. Either mechanism can prevent a potentially important criticism from becoming live.
6. Augmenting human intellect. Douglas Engelbart's Augmenting Human Intellect: A Conceptual Framework (1962) examines the intellectually augmented human-and-tool system. The pertinent possibility is that AI can bring a larger objective surface within reach of one critic.
7. AI and the limits of reflective equilibrium. Allison Duettmann's “The Human-AI Reflective Equilibrium” (2023) provides an adjacent proposal for using AI to juxtapose judgments and values. The chapter instead treats exposed contradictions as problems for explanation, not as invitations to establish truth through equilibrium.
VIII. Your Creative Critic
1. Title. Your Creative Critic adapts creative criticism, an expression appearing in Joel Elias Spingarn's Creative Criticism (1917) and Katja Hilevaara and Emily Orley's The Creative Critic (2018). These are precedents for the wording, not verified direct sources of the title.
2. The creativity of criticism. The Conjecture Institute's online Glossary (“Criticism,” undated) and Brett Hall's “Critically Creative 3” (undated) both identify criticism as creative and conjectural. The chapter asks how a previously inexplicit difficulty becomes an articulated criticism.
3. Expertise and legitimate authority. David Estlund's Democratic Authority (2008) identifies the expert/boss fallacy: expertise does not automatically grant a right to rule. The chapter applies this distinction to control over another person's problems and criticisms.
4. Cosmic insignificance. Carl Sagan's Pale Blue Dot (1994) offers a recognizable image of physical smallness against cosmic scale. Physical magnitude and explanatory significance are separate questions.
5. Cognitive extension and substitution. Qiuhan Zhu and colleagues, “Not All Cognitive Offloading Is Equal” (2026), distinguishes reported AI use that substitutes for thinking from use that supports cognitive agency. The findings do not by themselves establish causal effects on future explanatory creativity.
6. Precaution and foregone knowledge. The OECD's Understanding and Applying the Precautionary Principle in the Energy Transition (2023) considers the costs of foregone experimentation and learning. A restriction may prevent known harms while also preventing the creation of presently unforeseeable criticisms.
IX. The Problem of Problems
1. Title. The Problem of Problems turns Popper's problem-solving schema upon the origin of problems themselves; compare All Life Is Problem Solving (1999). Hard problem of problems also alludes to David Chalmers's formulation of the hard problem of consciousness.
2. Problem finding and creative achievement. Getzels and Csikszentmihalyi's “Discovery-Oriented Behavior and the Originality of Creative Products” (1971) investigates problem discovery in creative work; Mumford and colleagues' “Process-Based Measures of Creative Problem-Solving Skills: I. Problem Construction” (1996) examines problem construction. Both precede the focus on creating, not merely solving, problems.
3. Problem setting and changing criteria. Donald Schön's The Reflective Practitioner (1983) distinguishes problem setting from solving; Thomas Kuhn's The Structure of Scientific Revolutions (1962) describes changes in scientific problems and standards. These are precedents for changed problem formulations, not for paradigm-relative truth.
4. Interest development and problem salience. Suzanne Hidi and K. Ann Renninger's “The Four-Phase Model of Interest Development” (2006) and Andreas Krapp's “Structural and Dynamic Aspects of Interest Development” (2002) provide developmental accounts of changing interests. Problem salience is the narrower epistemic question considered here.
5. Open-ended search and artificial problem generation. Stanley and Lehman's Why Greatness Cannot Be Planned (2015) criticizes fixed-objective search; Wang and colleagues' “Paired Open-Ended Trailblazer (POET)” (2019) and Colas and colleagues' “Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning” (2020) examine artificial generation of goals or challenges. These do not yet explain why a particular problem becomes salient to a knower.
X. Problems Aligning
1. Title. Problems Aligning mutates Brian Christian's The Alignment Problem (2020). The plural makes independent problem situations central; the gerund describes ongoing coordination rather than a completed alignment of objectives.
2. Boundary objects and modular coordination. Star and Griesemer's “Institutional Ecology, ‘Translations’ and Boundary Objects” (1989) examines shared objects enabling cooperation across different viewpoints; Baldwin and Clark's Design Rules, Volume 1 (2000) explains modular coordination through interfaces. Cooperation does not require identical beliefs or multiple standards of truth.
3. Hierarchy and coordination costs. Ronald Coase's “The Nature of the Firm” (1937) analyzes transaction costs underlying hierarchical firms; Malone, Yates, and Benjamin's “Electronic Markets and Electronic Hierarchies” (1987) examines how information technology changes coordination costs. Both precede the chapter's account of technological alternatives to hierarchy.
4. Polycentric coordination. Elinor Ostrom's Governing the Commons (1990) and “Beyond Markets and States” (2010) examine polycentric governance; Eric S. Raymond's The Cathedral and the Bazaar (1999) provides a software-development comparison. Multiple decision centers can cooperate through shared constraints without becoming a single mind.
5. AI, augmentation, and control. Ethan Mollick's Co-Intelligence (2024) discusses AI collaboration; Shoshana Zuboff's The Age of Surveillance Capitalism (2019) investigates behavioral prediction and control. The chapter connects the same technical capacity to augmentation and institutional legibility.
XI. Becoming Evil
1. Title. Becoming Evil shares its title with James Waller's Becoming Evil (2002; revised 2007), which examines ordinary people's participation in mass violence without positing an innately monstrous essence. The chapter gives this problem an epistemic formulation.
2. The banality of evil. Hannah Arendt's Eichmann in Jerusalem (1963) develops the banality of evil through problems of thought and judgment. The chapter distinguishes harmful explanations from the means by which they become insulated from criticism.
3. Epistemic vice and socially protected error. Quassim Cassam's Vices of the Mind (2019) investigates habits that obstruct error recognition; José Medina's The Epistemology of Resistance (2013) describes socially suppressed objections. These furnish psychological and political cases, not standpoint-relative standards of truth.
4. Dehumanization and moral judgment. Gray, Gray, and Wegner's “Dimensions of Mind Perception” (2007) connects attributed mental capacities with moral judgment; Haslam and Loughnan's “Dehumanization and Infrahumanization” (2014) surveys denial of human qualities. Both inform the risk of treating a thin representation as an exhaustive account of someone.
5. Correcting errors within the wrong problem. Chris Argyris's “Double Loop Learning in Organizations” (1977) distinguishes changing actions from criticizing their governing assumptions; Rittel and Webber's “Dilemmas in a General Theory of Planning” (1973) examines entanglement of problem framing and proposed solutions. Correcting within a harmful framing may reinforce it.
6. AI-mediated reflection. Inhwa Song and colleagues' “ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models” (CHI, 2025) studies user-guided AI reflection. Minsol Kim and colleagues' “Reflective Agency: Ethical and Empirical Framework for AI-Mediated Self-Reflection Systems” (AIES, 2025) examines risks to interpretive agency. Both concern tools whose interpretations must remain criticizable by their users.
XII. Our Justified World
1. Title and the criticism of justification. Our Justified World invokes justified true belief and Edmund Gettier's “Is Justified True Belief Knowledge?” (1963). Gettier is historical context; the governing criticism is Popper's rejection of positive justification as the foundation of knowledge.
2. Induction and confirmation. Hume's Enquiry Concerning Human Understanding (1748) formulates the problem of induction; Hempel's “Studies in the Logic of Confirmation” (1945) identifies paradoxes of confirmation. Both precede the chapter's distinction between accumulated support and criticism of explanations.
3. Prediction within a model is not the growth of knowledge. Popper's The Logic of Scientific Discovery (1934; English 1959) contrasts severe tests with positive justification; Deutsch's The Beginning of Infinity (2011) emphasizes explanatory criticism. David Miller's Critical Rationalism: A Restatement and Defence (1994) criticizes inductive support, including Bayesian accounts. Galit Shmueli's “To Explain or to Predict?” (2010) distinguishes explanatory and predictive objectives within statistical modeling. Predictive success over specified alternatives does not explain the creation of new conjectures.
4. Reconstruction and the feeling of truth. Pickering and Garrod's “Toward a Mechanistic Psychology of Dialogue” (2004) develops interactive linguistic alignment; Reber and Schwarz's “Effects of Perceptual Fluency on Judgments of Truth” (1999) investigates fluency effects. Agreement and ease of reconstruction can affect perceived truth without demonstrating it.
5. The bullshit asymmetry principle. Brandolini's law, or the bullshit asymmetry principle, is attributed to Alberto Brandolini (2013): misleading claims may be much cheaper to produce than to refute. It describes an imbalance of effort, not a criterion of truth.
6. External memory and explanatory structure. Risko and Gilbert's “Cognitive Offloading” (2016) analyzes external cognitive aids; Tiago Forte's Building a Second Brain (2022) describes personal knowledge organization. Explanatory memory differs by preserving criticizable assumptions and explanatory dependencies, not merely retrievable information.
7. AI and automated justification. Sharma and colleagues' “Towards Understanding Sycophancy in Language Models” (2023) examines AI agreement with user beliefs at the expense of accuracy. Generating persuasive support is distinct from discovering explanatory errors.
XIII. Gut Your Trust
1. Title. Gut Your Trust reverses trust your gut. Malcolm Gladwell's Blink: The Power of Thinking Without Thinking (2005) is a familiar popular account of rapid intuitive judgment, not a direct source of the title. Inexplicit judgment is not exempt from criticism.
2. Tacit knowledge and the limits of explication. Ikujiro Nonaka's “A Dynamic Theory of Organizational Knowledge Creation” (1994) examines transitions between tacit and explicit knowledge. Explicitation here is not guaranteed conversion: an articulated representation is a new, fallible conjecture about previously inexplicit activity.
3. Visual imagery and cognitive diversity. Zeman, Dewar, and Della Sala's “Lives Without Imagery—Congenital Aphantasia” (2015) and Temple Grandin's Thinking in Pictures (1995) describe markedly different experiences of visual imagery. Neither difference, by itself, measures explanatory competence.
4. Inner speech and unsymbolized thought. Heavey and Hurlburt's “The Phenomena of Inner Experience” (2008), together with Hurlburt's later research, documents variation in inner speech, imagery, feeling, and unsymbolized thinking. Continuous narration is not a prerequisite for thought.
5. External representations and reconstruction. David Kirsh's “Thinking with External Representations” (2010) examines how inscriptions and diagrams transform cognitive possibilities. Shared objective knowledge need not be reconstructed through identical private mental representations.
6. AI-mediated communication and tacit knowledge. Hancock, Naaman, and Levy's “AI-Mediated Communication” (2020) defines a field in which AI alters messages; Sarah Philipson's “Prompting for Reorganizing Tacit Knowing” (2026) examines recursive articulation through prompting. These precede the concept of an AI explicitation surface.
7. Translation, agency, and substitution. Woodruff and Hewitt's “Epistemic Agency in the Age of Large Language Models” (2026) and Edu William's “Semantic Displacement and AI-Mediated Agency” (2026) address AI-supported interpretation and its displacement risks. Criticizability of the AI's formulation is the relevant distinction.
XIV. Taking Explanations Personally
1. Title. Taking Explanations Personally mutates David Deutsch's demand, in the Preface to The Fabric of Reality (1997), that good explanations be taken seriously wherever their implications reach. The additional direction is toward the explainer's own assumptions.
2. Expertise and the limits of self-evaluation. Kruger and Dunning's “Unskilled and Unaware of It” (1999) examines impaired recognition of one's own mistakes; Nathan Ballantyne's “Epistemic Trespassing” (2019) examines experts reasoning beyond their expertise. Superior knowledge supplies potential criticisms, not a separate jurisdiction over truth.
3. Decompression before criticism. Fabrizio Macagno's “Argument Interpretation and the Implicit Side of Enthymemes, Beyond and Before the Charity Principle” (2025) examines what argument reconstruction requires. Decompression aims to recover an interlocutor's actual explanation before criticizing it, rather than substituting an improved steelman.
4. Synthetic epistemology. Ron Chrisley and Andy Holland's “Connectionist Synthetic Epistemology: Requirements for the Development of Objectivity” (1995), in Current Trends in Connectionism, uses artificial systems to investigate knowledge and representation. In “Why Philosophers Should Care About Computational Complexity” (2013), Scott Aaronson identifies a mathematical account of explanatory learning, distinct from PAC-style prediction, as an open problem and credits Deutsch's account of explanation. The chapter adds reciprocal criticism: epistemology can inform system design, and engineered systems can challenge the epistemology behind them.
5. Conjecture generation, not inference to justified truth. Charles Sanders Peirce's Harvard Lectures on Pragmatism (1903) discusses the generation of explanatory hypotheses through abduction. Dasgupta, Schulz, and Gershman's “Where Do Hypotheses Come From?” (2017) distinguishes creating candidates from evaluating supplied candidates. Neither hypothesis formation nor comparative plausibility confers justification.
6. Transformational creativity. Margaret A. Boden's The Creative Mind (1990) distinguishes exploration within a conceptual space from transformation of its defining constraints. The latter is a predecessor for the creation and criticism of evaluative criteria.
7. Explanatory consequences are not commands. Hume's A Treatise of Human Nature (1739–1740), III.i.1, identifies the problematic inference from is to ought. An explanatory ought in this chapter denotes a criticizable proposed response to a problem, not an obligation mechanically derived from description.
XV. The Recursive Universal Explainer
1. Title. The Recursive Universal Explainer extends David Deutsch's universal explainer, particularly in “The Jump to Universality” in The Beginning of Infinity (2011). Brett Hall's The Farthest Reaches explores the implications of explanatory universality within that lineage. Recursive identifies the distinct emphasis here: explanations of the explainer can change its later epistemic activity.
2. Levels of explanation. Daniel Dennett's “Real Patterns” (1991) defends the explanatory reality of higher-level patterns without exhaustive microphysical description. It supplies a comparison for distinct, mutually constraining physical, biological, computational, and epistemic explanations of persons.
3. Cognition in distributed systems. Edwin Hutchins's Cognition in the Wild (1995) studies cognitive activity involving people, instruments, and culturally organized practices. The chapter's Person(Tools(Objective Knowledge)) describes recursive technological mediation without assuming tools literally constitute the person.
4. Self-interpreting persons. Charles Taylor's “Self-Interpreting Animals,” in Human Agency and Language (1985), examines how self-understanding affects agency. The chapter treats a person's explanation of themselves as another objective, fallible structure capable of altering their later development.
5. The extended person. Fabio Patrone and Giuseppe Spolaore's “From Extended Minds to Extended Persons” (2026) distinguishes external realization of cognitive functions from extending personhood itself. The chapter leaves that metaphysical boundary unresolved while affirming the causal importance of external knowledge.
6. Computation and artificial personhood. Alan Turing's “Computing Machinery and Intelligence” (1950) and Hilary Putnam's “Psychological Predicates” (1967; later “The Nature of Mental States”) provide early treatments of artificial intelligence and substrate-independent organization. Shane Legg and Marcus Hutter's “Universal Intelligence: A Definition of Machine Intelligence” (2007) formalizes intelligence through goal achievement across environments, a technical comparator rather than an epistemology of explanation. Deutsch's “Creative Blocks” (2012) identifies the missing explanation of how AGI could create new explanatory knowledge; computational capability does not itself supply that explanation.
7. Personhood and epistemic equality. Kant's Groundwork of the Metaphysics of Morals (1785) precedes the distinction between respecting persons and using them merely as means. The chapter develops a different, fallibilist argument concerning epistemic equality; rights remain criticizable institutional proposals, not deductions from the mere definition of personhood.
XVI. Mount Mysterious
1. Title. Mount Mysterious echoes Dawkins's Climbing Mount Improbable (1996) and the popular Mount Stupid meme. Dawkins's contrast between an apparent leap and a continuous causal process is a title-level analogue for creative insight; neither allusion claims direct derivation.
2. Incubation and the apparent creative leap. Henri Poincaré's “Mathematical Creation” (1908) describes apparently sudden discoveries after prolonged work; Graham Wallas's The Art of Thought (1926) distinguishes preparation, incubation, illumination, and verification. Neither account explains the physical process generating a new explanatory structure.
3. Creative mystery and artistic experience. Rick Rubin's The Creative Act (2023) provides a contemporary account of receptivity and the felt mystery of artistic creation. The experience is not an argument that creativity is beyond explanation.
4. Creativity and changing evaluative criteria. Mihaly Csikszentmihalyi's Creativity: Flow and the Psychology of Discovery and Invention (1996) studies creators in relation to inherited cultural domains and evaluative fields. The relevant distinction is between meeting established standards and changing the standards themselves.
5. Soul as an explanatory problem. Daniel Dennett's Breaking the Spell: Religion as a Natural Phenomenon (2006) treats religious belief as open to explanation. It is a methodological analogue, not a theory of the soul: the chapter separates questions about life, identity, memory, survival after death, and moral worth rather than treating soul as a single explanatory answer.
6. Reconstructing other minds without conceptual relativism. Donald Davidson's “On the Very Idea of a Conceptual Scheme” (1974) criticizes radical scheme–world dualism. It is pertinent to understanding differently situated epistemic minds, , as addressing one reality, , rather than possessing separate truths.
7. Criticism and compelled reconstruction. David McRaney's How Minds Change (2022) examines belief revision and the limits of adversarial persuasion. Offering a criticism is distinct from causing its reconstruction inside another person's epistemic mind.
XVII. The Arrows of Knowledge
1. Title. The Arrows of Knowledge redirects Popper's problem–conjecture–error-elimination schema from states to the creative transitions between them. The plural also plays on the familiar arrow of time; none of the arrows denotes a guaranteed next state.
2. Problem spaces and transitions. Allen Newell and Herbert A. Simon's Human Problem Solving (1972) models operators and states within problem spaces, and recognizes the difficulty of constructing those spaces. The chapter attends to transitions that transform the problem space itself.
3. The fun criterion. Deutsch's fun criterion, discussed in “AI, America, Fun, & Bayes” (Dwarkesh Patel interview, 2022), concerns interplay among explicit, inexplicit, conscious, and unconscious knowledge. Fun is considered as a possible signal of epistemic movement, not a test of correctness.
4. Cognitive flexibility and the limits of felt correctness. Wu and Koutstaal's “Charting the Contributions of Cognitive Flexibility to Creativity” (2020) studies self-guided cognitive transitions; Thompson, Prowse Turner, and Pennycook's “Intuition, Reason, and Metacognition” (2011) examines the feeling of rightness. Neither feeling supplies a criterion of truth.
5. Autonomy and forced transitions. Deci and Ryan's “The Support of Autonomy and the Control of Behavior” (1987) links autonomy with motivation and creativity. The chapter distinguishes externally compelled task performance from a person's own changing epistemic problem.
6. Discovery without a prewritten future. Hayek's “Competition as a Discovery Procedure” (1968; English translation 2002) examines discovery through decentralized processes; Stuart Kauffman's Investigations (2000) introduces the adjacent possible. The latter is a heuristic comparison, not a claim that uncreated future explanations can be pre-enumerated.
7. The legibility of epistemic movement. Steven Pressfield's The War of Art (2002) and Cal Newport's Deep Work: Rules for Focused Success in a Distracted World (2016) offer contrasting popular interpretations of persistence and distraction. Similar outward behavior may conceal resistance, criticism, or a changing problem.
XVIII. Unpredictable You
1. Title. Unpredictable You mutates George and Ira Gershwin's “Embraceable You” (1930), notably performed by Nat King Cole. The intimate address is retained; unpredictability refers specifically to another person's uncreated future explanations.
2. Radical uncertainty as a comparison, not an epistemology. Kay and King's Radical Uncertainty (2020) and Taleb's The Black Swan (2007) examine limitations of probabilistic projection. Scott Aaronson's “The Ghost in the Quantum Turing Machine” (2013; published in The Once and Future Turing, 2016) investigates the speculative possibility of Knightian freedom: in-principle physical unpredictability beyond an assigned probability distribution. These comparisons are distinct from Popper's argument concerning explanatory knowledge that has not yet been created.
3. Unawareness and the limits of specified state spaces. Dekel, Lipman, and Rustichini's “Standard State-Space Models Preclude Unawareness” (1998) and Jing Li's “Information Structures with Unawareness” (2009) examine formal problems of unrepresented possibilities. Enlarging a pre-specified possibility space still does not explain the creation of new explanatory knowledge.
4. Bayesian modeling as a contrast case. Matt Jones and Bradley C. Love's “Bayesian Fundamentalism or Enlightenment? On the Explanatory Status and Theoretical Contributions of Bayesian Models of Cognition” (2011) questions whether successful Bayesian models explain cognitive mechanisms. It is a critical comparison, not an endorsement of Bayesian epistemology: updating among specified hypotheses does not explain their creation.
5. Possible selves and personal development. Hazel Markus and Paula Nurius's “Possible Selves” (1986) examines imagined future selves; McAdams and McLean's “Narrative Identity” (2013) studies changing autobiographical interpretation. Both concern present representations of a future whose actual explanatory content remains uncreated.
6. Forecasting as a bounded accomplishment. Tetlock and Gardner's Superforecasting (2015) and Wolfers and Zitzewitz's “Prediction Markets” (2004) study better forecasting of specified outcomes. Their accomplishment is distinct from knowing the future problems and explanations a person has not yet created.
7. Computational breadth and undiscovered connections. Don R. Swanson's “Undiscovered Public Knowledge” (1986) concerns unnoticed connections among published findings; Messeri and Crockett's “Artificial Intelligence and Illusions of Understanding in Scientific Research” (2024) examines AI-mediated overconfidence. More computational breadth need not amount to more explanatory understanding.
XIX. The Value Bomb
1. Title. The Value Bomb echoes Paul Ehrlich's The Population Bomb (1968), exchanging a predicted demographic catastrophe for the propagation of a moral judgment from one component to its entire carrier. The reference is to the title and cultural framing, not Ehrlich's demographic thesis.
2. Values as criticizable solutions, not self-validating standards. Harald Stelzer's “Popper and Communitarianism,” in Rethinking Popper (2009), discusses moral standards as criticizable attempted solutions; Cass Sunstein's “Moral Heuristics” (2005) describes economical but fallible rules. Neither social acceptance nor usefulness confers epistemic justification.
3. Immunizing explanations. Maarten Boudry and Johan Braeckman's “Immunizing Strategies and Epistemic Defense Mechanisms” (2011) and “How Convenient! The Epistemic Rationale of Self-Validating Belief Systems” (2012) examine beliefs that reinterpret objections as confirmation. Applied to values, the critic may become the object of denunciation instead of the criticism being answered.
4. Sacred values as a phenomenon to explain. Philip E. Tetlock's “Thinking the Unthinkable: Sacred Values and Taboo Cognitions” (2003) and Skitka, Bauman, and Sargis's “Moral Conviction” (2005) examine inviolable commitments and intolerance of disagreement. These are psychological phenomena, not sources of moral truth.
5. Moral contagion and the carrier. Eskine, Novreske, and Richards's “Moral Contagion Effects in Everyday Interpersonal Encounters” (2013) examines feelings of contamination transferred through association. Value bomb abstracts the mistaken transfer of a judgment about one component to everything connected with it.
6. Tolerance and moral jurisdiction. Popper's The Open Society and Its Enemies (1945), Chapter 7 note, introduces the paradox of tolerance; Stephen L. Newman's “Finding the Harm in Hate Speech” (2017) examines limits of censorship arguments. The particular threat and restriction remain separate objects of criticism.
7. Values and the open future. Joel Feinberg's “The Child's Right to an Open Future,” in Whose Child? (1980), examines protection of future options before children can exercise them. The chapter extends this concern to future explanatory knowledge whose contents cannot yet be specified.
XX. Wealth In Equality
1. Title. Wealth In Equality splits wealth inequality into wealth in equality. It distinguishes equal epistemic standing from unequal physical and technical means for making knowledge consequential.
2. Knowledge and the resource map. Erich W. Zimmermann's World Resources and Industries (1933) supplies the idea that “resources are not, they become”; Julian L. Simon's The Ultimate Resource (1981; expanded 1996) emphasizes knowledge changing material possibilities. Resources enable transformations without determining which new explanation will be created.
3. Equal personhood and unequal practical capability. Amartya Sen's Commodities and Capabilities (1985) distinguishes possession from practical opportunity; Eszter Hargittai's “Second-Level Digital Divide” (2002) examines inequalities in effective digital use. These are empirical and economic comparisons, not criteria for ranking persons' epistemic worth.
4. AI and the minimum scale of organization. Junhui Jeff Cai and colleagues' “AI as ‘Co-founder’: GenAI for Entrepreneurship” (2025) examines generative AI's association with leaner firm creation. The narrower claim here is that AI may lower the organizational scale at which a person can attempt some problems.
5. Patent law and the mystery of creativity. KSR International Co. v. Teleflex Inc. (2007) and Amy L. Landers's “Ordinary Creativity in Patent Law” (2010) address combinations of familiar elements and legal non-obviousness. Patent criteria classify public inventions; they do not explain the creative transition that generated them.
6. Precaution and the knowledge that restriction prevents. Kim Kaivanto's “The Precautionary Principle and the Innovation Principle” (2025) and Deirdre Ahern's “The New Anticipatory Governance Culture for Innovation” (2025) examine restrictions, experimentation, and regulatory learning. Foregone inquiry can entail foregone knowledge that cannot be inventoried in advance.
7. Tools, dependence, and epistemic autonomy. Ivan Illich's Tools for Conviviality (1973) contrasts enabling with controlling tools; Nicholas Carr's The Glass Cage (2014) examines skill loss through automation. Technical augmentation and the preservation of epistemic direction are distinct achievements.
XXI. Scaling Error
1. Title. Scaling Error reverses the optimism of technical scaling toward the possible scaling of uncorrected mistakes. Kaplan and colleagues' “Scaling Laws for Neural Language Models” (2020) is a recognizable point of reference, not the source of a proposed catastrophe law.
2. Catastrophic risk and the conditions of correction. Toby Ord's The Precipice (2020) concerns existential risks; Mitchell D. McPhetridge's “Infrastructure Is Not Truth” (2026) distinguishes claims from institutions sustaining their criticism. The error-correction surface includes the people, records, freedoms, and tools that make errors discoverable.
3. Specification gaming and the appearance of disobedience. Victoria Krakovna and colleagues' “Specification Gaming: The Flip Side of AI Ingenuity” (2020) documents unexpected ways of satisfying fixed objectives; Joseph Weizenbaum's Computer Power and Human Reason (1976) cautions against anthropomorphic interpretations. Deutsch's “Beyond Reward and Punishment,” in John Brockman's Possible Minds (2019), distinguishes such behavior from an explanatory intelligence's capacity to question and replace its own objectives.
4. Human values and the limits of pluralistic alignment. Stuart Russell's Human Compatible (2019) addresses AI uncertainty about human preferences; Sorensen and colleagues' “Position: A Roadmap to Pluralistic Alignment” (2024) considers conflicting human values. Both are technical or policy approaches under examination, not a pluralist theory of truth. Preference aggregation cannot settle moral explanations.
5. Artificial personhood and revisable goals. Deutsch's “Beyond Reward and Punishment,” in Possible Minds (2019; see XXI.3), argues that an AGI would be a person able to create and criticize its own objectives rather than merely maximize externally supplied rewards. Francis Rhys Ward's “Towards a Theory of AI Personhood” (2025) examines related consequences for alignment. Revising goals through explanation is distinct from optimizing them.
6. Information access and execution authority. Nick Bostrom's “Information Hazards” (2011) considers harms from information dissemination; Kembery, Bucknall, and Simpson's “Model Access Should Be a Key Concern in AI Governance” (2024) distinguishes types of AI access. Access to explanation and authority to execute dangerous transformations raise different problems.
7. Risk, pacing, and future knowledge. Popper's The Poverty of Historicism (1957) supplies the limitation on forecasts dependent upon future knowledge. Specific present hazards permit detailed criticism; distant conjectures do not justify pretending that the discovery of later dangers or safeguards can already be predicted.
XXII. The Maps Become The Territory
1. Title. The Maps Become The Territory mutates Korzybski's the map is not the territory, developed in Science and Sanity (1933). The claim is causal, not relativist: institutional representations can change the reality they describe while remaining incomplete and criticizable. Compare Hacking's looping classifications (II.4).
2. Abstract systems and narrow interfaces. Anthony Giddens's The Consequences of Modernity (1990) examines dependence on abstract systems and expert institutions. These provide narrow interfaces for coordination without requiring individuals to reconstruct all supporting knowledge.
3. Classification and institutional reality. Bowker and Star's Sorting Things Out (1999) investigates classifications embedded in infrastructure; Cathy O'Neil's Weapons of Math Destruction (2016) examines consequential and opaque computational classifications. Representations can constrain real opportunities while remaining fallible.
4. Infrastructure and reversible compression. Star and Ruhleder's “Steps Toward an Ecology of Infrastructure” (1996) studies infrastructure that becomes noticeable when it fails. Reversible compression means recovering the assumptions and problems behind an inherited interface so they can be criticized, not treating its age or prior use as justification.
5. The symmetry of empowerment and governability. Bowker and Star's classification research and James C. Scott's Seeing Like a State (1998; see V.7) explain administrative legibility. A common abstraction may simultaneously make a system easier for its users to navigate and its users easier for institutions to govern.
6. Epistemic dependence without surrendering criticism. J. Adam Carter's “Intellectual Autonomy, Epistemic Dependence and Cognitive Enhancement” (2020) investigates autonomy under cognitive dependence. The Popperian distinction here is between relying on objective knowledge and surrendering its eligibility for criticism.
7. Algorithmic interfaces and the selection of problems. Tarleton Gillespie's “The Relevance of Algorithms” (2014) and Safiya Umoja Noble's Algorithms of Oppression (2018) examine informational ranking and consequential classifications. Generative AI similarly affects which objective knowledge and which subsequent problems become visible.
XXIII. Problem 37
1. Title. Problem 37 changes Move 37, AlphaGo's surprising play against Lee Sedol in 2016, from a celebrated machine action into the explanatory problem it leaves behind. The number also echoes open-ended Popperian problem succession.
2. Understanding as explanation. Michael Strevens's “No Understanding Without Explanation” (2013) relates scientific understanding to explanatory grasp; Blaha and colleagues' “Understanding Is a Process” (2022) examines understanding as developing activity. Both precede the distinction between machine performance and human explanation.
3. Computational opacity and explanatory access. Paul Humphreys's Extending Ourselves (2004) examines scientific computation that exceeds what one investigator can survey. Practical opacity is distinct from a principled impossibility of further explanation and criticism.
4. Representation and the small creative transition. Saul Amarel's “On Representations of Problems of Reasoning about Actions” (1968) shows how problem representations affect solvability. A small new abstraction may reorganize a vastly larger body of computational results.
5. Scaling and the bitter lesson. Richard Sutton's “The Bitter Lesson” (2019) credits scalable computation, search, and learning with major advances in AI. Scaling performance within a represented problem is distinct from creating or criticizing the representation and its evaluative criteria.
6. Recursive self-improvement and the unchanged problem. Eliezer Yudkowsky's “Recursive Self-Improvement” (2008) and Nick Bostrom's Superintelligence (2014) consider systems improving their own successors. Increased optimization is not equivalent to criticism of the objective organizing that improvement.
7. Pacing and the preservation of criticism. David Collingridge's The Social Control of Technology (1980) describes uncertainty early in technological development and difficulty changing technologies later. Pacing matters insofar as it preserves concrete opportunities for criticism before changes become irreversible.
XXIV. My AI and I Are More Clever Than I
1. Title. My AI and I Are More Clever Than I updates “My pencil and I are more clever than I,” used by Deutsch in The Beginning of Infinity (2011) and in variants by Popper in “Of Clouds and Clocks” (1966) and “Historical Comments on the Mind-Body Problem” (1977). Popper's attribution to Einstein remains unverified; a related earlier saying is attributed to Adolf von Harnack. The substitution makes AI an intellectual collaborator.
2. Human–machine collaboration. Garry Kasparov's Deep Thinking (2017) recounts chess-computer collaboration; Howard Rheingold's Tools for Thought (1985) surveys computers as intellectual augmentation. The chapter's more specific human–AI dyad comprises the person, model, tools, accumulated objective knowledge, methods, and preserved problem history—not simply two complementary agents.
3. The artifact changes its creator. Galbraith and Baaijen's “The Work of Writing: Raiding the Inarticulate” (2018) treats writing as constitutive of thought. An artifact can transform its creator's problem even when the finished product has no public value.
4. AI as a responsive objective surface. Rivera-Novoa and Duarte Arias's “Generative Artificial Intelligence and Extended Cognition in Science Learning Contexts” (2025; 2026 volume) studies AI as a learning aid. The chapter's responsive objective surface makes partly formed explanations criticizable without implying that the tool itself understands.
5. Creation, publication, and information pollution. Herbert A. Simon's “Designing Organizations for an Information-Rich World” (1971) examines attention scarcity; Silbey and Hartzog's “AI Slop” (2026) examines burdens of low-quality generated content. Privately generating an artifact and publishing it for others are different acts with different costs.
6. Authorship and the location of creativity. Tiegue Vieira Rodrigues's “The Apt Curation Model” (2026) analyzes AI-assisted authorship; Moon, Green, and Kushlev's “Homogenizing Effect of Large Language Models on Creative Diversity” (2025) examines converging outputs. Machine-generated volume alone does not locate authorship or explain creative judgment.
7. Decoding is not understanding a person. Tang, LeBel, Jain, and Huth's “Semantic Reconstruction of Continuous Language from Non-Invasive Brain Recordings” (2023) reconstructs aspects of linguistic experience from brain signals. This is not reconstruction of a person's entire epistemic history, still less knowledge they have yet to create.
8. Reciprocity and ownership of the arrow. Rasmus Gahrn-Andersen's “Entangled Cognition: Algorithmic Power and the Limits of Cognitive Extension” (2026) analyzes how algorithms shape cognition. Ownership of the arrow concerns whether a person can reject a tool's interpretation and reformulate the problem themselves.
XXV. Explaining Love, Madness, and Death
1. Title. Explaining Love, Madness, and Death mutates Horacio Quiroga's Cuentos de amor de locura y de muerte (1917), commonly translated as Tales of Love, Madness and Death. Explaining substitutes an open-ended epistemic activity for the literary form; no response to Quiroga's stories is implied.
2. Love and the limits of knowing another person. Iris Murdoch's The Sovereignty of Good (1970) treats love as attention to another person's reality rather than self-projection. It is an ethical analogue for knowing a beloved whose future explanations remain uncreated, not a substitute epistemology.
3. Intimacy, grief, and epistemic instability. Aron, Aron, and Smollan's “Inclusion of Other in the Self Scale” (1992) measures relational closeness; Mary-Frances O'Connor's The Grieving Brain (2022) approaches bereavement as an adjustment of learned expectations. The chapter's distributed epistemic relationship is a further conjecture, not a general theory of psychiatric illness.
4. Death as epistemic deprivation. Thomas Nagel's “Death” (1970) treats death as deprivation of possible future goods. Scott Aaronson's “The Ghost in the Quantum Turing Machine” (2013; published in The Once and Future Turing, 2016), particularly “Mind and Morality,” considers the moral significance of irreversibly destroying unique knowledge and perspectives. Epistemic deprivation extends the loss to explanations, criticisms, and inventions the person would otherwise have gone on creating.
5. Extinction and different kinds of knowledge loss. Daniel P. Faith's “Conservation Evaluation and Phylogenetic Diversity” (1992) concerns biological history represented by diversity. The chapter distinguishes this loss from the further disappearance of a deceased person's inexplicit knowledge and open explanatory future; no moral ranking follows from the comparison.
6. Death as a problem rather than an exemption. David A. Sinclair and Matthew D. LaPlante's Lifespan: Why We Age—and Why We Don't Have To (2019) challenges treating aspects of aging as fixed biological necessities. An unsolved cause of death is not thereby proven physically impossible to prevent or repair.
7. Responsive simulations and the absent person. The Black Mirror episode “Be Right Back” (2013) dramatizes simulation of a deceased partner; Hollanek and Nowaczyk-Basińska's “Griefbots, Deadbots, Postmortem Avatars” (2024) examines associated ethics. Responsiveness drawn from digital traces is not evidence that the deceased person's explanatory history continues.
8. Mortality and the externalization of knowledge. The saying “when an old man dies, a library burns down” is commonly attributed to Amadou Hampâté Bâ; his 1960 UNESCO address warned about the loss of orally transmitted knowledge. The familiar phrasing is a later compression. The chapter extends that concern to each person's largely inexplicit epistemic history.
XXVI. I, Inventor
1. Title. I, Inventor mutates Isaac Asimov's I, Robot (1950), replacing a machine category with the epistemic activity of invention. The title's encounter with AI raises the problem of genuine explanatory creation versus conspicuous technical output.
2. Personal novelty and historical novelty. Margaret A. Boden's The Creative Mind (1990; revised 2004) distinguishes P-creativity, novelty to a person, from H-creativity, novelty in human history; Jessica Silbey's The Eureka Myth (2014) examines lived creation and intellectual-property recognition. Neither distinction makes truth relative.
3. Explication is not transcription. Keith Oatley and Maja Djikic's “Writing as Thinking” (2008) and Donald Schön's “Designing as Reflective Conversation with the Materials of a Design Situation” (1992) treat externalization as part of thinking, not mere transcription of fully formed ideas.
4. The observable shadow of creativity. Sini Davies, Pirita Seitamaa-Hakkarainen, and Kai Hakkarainen's “Knowledge Creation through Maker Practices and the Role of Teacher and Peer Support in Collaborative Invention Projects” (International Journal of Computer-Supported Collaborative Learning, 2024) examines students' collaborative invention practices and developing artifacts. These make parts of invention observable without explaining the creative transition itself.
5. Patent examination as creative evaluation. R. Keith Sawyer's “Creativity, Innovation, and Obviousness” (2008) connects creativity research with patent examination. A criticism concerning novelty or non-obviousness may cause the inventor to reframe what the invention actually is.
6. Criticism as problem creation. Jacob W. Getzels's “Problem-Finding and the Inventiveness of Solutions” (1975) identifies problem formulation as a creative achievement. A critic may contribute by creating the successor problem, not merely rejecting an answer.
7. Recombination and explanatory novelty. Kirby Ferguson's Everything Is a Remix (2010–2012; revised) emphasizes copying, transforming, and combining existing material. Identifying an invention's ingredients does not explain the creation of its new problem-solving organization.
8. AI, evaluation, and the next problem. Margaret A. Boden's “Creativity and Artificial Intelligence” (1998) distinguishes computational forms of creativity and the transformation of conceptual spaces. More generated candidates and better evaluation do not, alone, explain the creation of governing criteria.
XXVII. What Knowledge Powers
1. Title. What Knowledge Powers mutates knowledge is power, associated with Francis Bacon's Meditationes Sacrae (1597; ipsa scientia potestas est). Changing power into a verb asks what causal transformations particular knowledge enables.
2. Causal work without a universal weighting scale. James Woodward's Making Things Happen (2003) offers an interventionist account of causal explanation. It supplies a comparison for asking what difference particular knowledge makes, rather than assigning unjustified percentages to heterogeneous kinds of knowledge.
3. Knowledge changing the conditions of inheritance. Odling-Smee, Laland, and Feldman's Niche Construction (2003) shows that organisms alter environments that shape subsequent evolution. The chapter extends this feedback to knowledge embodied in practices, tools, and institutions.
4. Explication constructs a conjecture. Nick Chater's The Mind Is Flat (2018) challenges the idea that introspection retrieves fully formed hidden mental propositions. The relevant comparison is limited: creating an explicit formulation need not reproduce pre-existing verbal content.
5. Internal ecology and provisional consilience. Gregory Bateson's Steps to an Ecology of Mind (1972) offers a relational metaphor for interacting habits and ideas. Internal ecology and consilience here describe relations among fallible structures, not a coherentist justification of truth.
6. Finite attention and the allocation of criticism. Herbert A. Simon's “A Behavioral Model of Rational Choice” (1955) establishes constraints of finite attention and calculation. Allocation of criticism concerns which inherited compression a presently active problem makes worth reopening, not a different standard of truth.
7. Autonomy as the ability to criticize inherited knowledge. Elizabeth Fricker's “Testimony and Epistemic Autonomy,” in The Epistemology of Testimony (2006), examines independence under reliance on others. The distinctive Popperian criterion is that inherited knowledge remains eligible for criticism.
XXVIII. You Are a Deep Loop
1. Title. You Are a Deep Loop mutates Douglas Hofstadter's I Am a Strange Loop (2007), with Gödel, Escher, Bach (1979) as a precursor for self-reference. The title borrows the motif, not Hofstadter's theory of consciousness; deep means that criticism can alter the conditions governing later criticism.
2. Emergence is not an explanatory cause. Mark A. Bedau's “Weak Emergence” (1997) and Fauconnier and Turner's The Way We Think (2002) concern higher-level patterns and new conceptual integrations. Emergence names a result, not the still-needed causal explanation of its creation.
3. Criticism that reaches governing criteria. W. W. Bartley III's The Retreat to Commitment (1962) develops critical rationalism, extending criticism to rationality's own fundamental commitments. Chris Argyris's “Double Loop Learning in Organizations” (1977) offers a distinct organizational comparison concerning governing assumptions. The chapter examines how a changed criterion can alter the next epistemic problem.
4. The changed knower encounters a changed problem. Robert Kegan's The Evolving Self (1982) describes previously implicit organizing structures becoming reflectively accessible. Its developmental stages are not adopted; the relevant point is that a changed knower may face a changed problem.
5. Predictions that change their objects. Perdomo, Zrnic, Mendler-Dünner, and Hardt's “Performative Prediction” (2020) formalizes cases where predictions alter subsequent outcomes. This feedback can affect the future problems available to a classified person without making the classification true.
6. Preserving epistemic movement. MacLean, Young, Bellotti, and Moran's “Questions, Options, and Criteria” (1991) preserves design decisions and their rationales. The chapter extends the idea from decision history to an individual's revisitable history of conjectures, criticisms, and changed problems.
7. Conditions for criticisms that do not yet exist. Miranda Fricker's Epistemic Injustice (2007) examines shortages in publicly available concepts needed to articulate experiences. The chapter extends this beyond expressing available objections to preserving conditions in which presently unformulated criticisms can be created.
8. Educational decline and the missing causal trajectory. Nicholas Carr's The Shallows (2010) supplies a cultural predecessor for concerns about digital media and thought; the OECD's PISA 2025 Results (Volume I): Future-Ready Students (2026) reports educational-performance trends and digital use. Their coexistence does not establish a technological cause for the measured changes.
XXIX. Your Open Mind and Its Rulers
1. Title. Your Open Mind and Its Rulers mutates Karl Popper's The Open Society and Its Enemies (1945), especially Chapter 7's replacement of “Who should rule?” with the problem of removing bad rulers. The chapter turns the political question toward governing explanations within a person.
2. Explanation does not deductively command. Hume's A Treatise of Human Nature (1739–1740), III.i.1, identifies the inferential gap between is and ought. The moral conjecture to preserve error correction is not a deduction from descriptive epistemology.
3. Finite attention does not imply instrumental rationalism. Herbert A. Simon's “A Behavioral Model of Rational Choice” (1955) describes finite attention and calculation (see XXVII.6). Moral urgency can determine which criticism is addressed now without redefining what constitutes explanatory error.
4. Removable rulers and limited authority. Popper's The Open Society and Its Enemies (1945), Chapter 7, supplies the problem of removable rulers; John Stuart Mill's On Liberty (1859) provides a related defense of open discussion. The additional distinction is between limited practical authority and permanent epistemic sovereignty.
5. Equality and the absence of an epistemic ranking. Jeremy Waldron's One Another's Equals (2017) offers a separate moral argument concerning equal standing despite differences in ability and achievement. The chapter does not derive equality from epistemology; it criticizes purported rankings of persons based on thin measures of their present capacities.
6. Stop harm without claiming a final essence. Judith N. Shklar's Ordinary Vices (1984), especially “Putting Cruelty First,” provides a closer comparison for opposing concrete cruelty without first completing an ideal moral theory. The chapter adds a separate limit: condemning or stopping harmful conduct does not establish a final explanation of the person acting.
7. Identity can rule without being false. Christine M. Korsgaard's The Sources of Normativity (1996) examines authority acquired by practical identities. The chapter's distinct concern is when a true or useful self-description becomes exempt from criticism.
8. Algorithmic authority and the possibility of refusal. Lilian Edwards and Michael Veale's “Slave to the Algorithm? Why a ‘Right to an Explanation’ Is Probably Not the Remedy You Are Looking For” (2017) examines limits of explanation-based algorithmic remedies. The Popperian issue is whether a consequential AI decision can be challenged, revised, or refused.